diff --git a/.ci/docker/ci_commit_pins/pytorch.txt b/.ci/docker/ci_commit_pins/pytorch.txt
index 6e686b7f24..0e9181ac55 100644
--- a/.ci/docker/ci_commit_pins/pytorch.txt
+++ b/.ci/docker/ci_commit_pins/pytorch.txt
@@ -1 +1 @@
-b556d31586845fb1e296a975d2b85d9d325205c9
+aec9b2ab77389967ef39bb9c10662fd0fe3e185a
diff --git a/.ci/docker/ci_commit_pins/torchao.txt b/.ci/docker/ci_commit_pins/torchao.txt
new file mode 100644
index 0000000000..768110b82f
--- /dev/null
+++ b/.ci/docker/ci_commit_pins/torchao.txt
@@ -0,0 +1 @@
+0916b5b29b092afcbf2b898caae49abe80662bac
diff --git a/.ci/docker/common/install_linter.sh b/.ci/docker/common/install_linter.sh
index 4a796a72d5..d262176e49 100755
--- a/.ci/docker/common/install_linter.sh
+++ b/.ci/docker/common/install_linter.sh
@@ -13,3 +13,7 @@ source "$(dirname "${BASH_SOURCE[0]}")/utils.sh"
 # NB: Install all linter dependencies, the caching of lintrunner init could be
 # done after Executorch becomes public
 pip_install -r requirements-lintrunner.txt
+
+# Install google-java-format
+curl -L --retry 3 https://github.com/google/google-java-format/releases/download/v1.23.0/google-java-format_linux-x86-64 > /opt/google-java-format
+chmod +x /opt/google-java-format
diff --git a/.ci/scripts/build-qnn-sdk.sh b/.ci/scripts/build-qnn-sdk.sh
new file mode 100644
index 0000000000..deeaed34ac
--- /dev/null
+++ b/.ci/scripts/build-qnn-sdk.sh
@@ -0,0 +1,49 @@
+#!/bin/bash
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+set -eux
+set -o xtrace
+
+build_qnn_backend() {
+  echo "Start building qnn backend."
+  export ANDROID_NDK_ROOT=/opt/ndk
+  export QNN_SDK_ROOT=/tmp/qnn/2.25.0.240728
+  export EXECUTORCH_ROOT="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")/../.." && pwd)"
+
+  bash backends/qualcomm/scripts/build.sh --skip_aarch64 --job_number 2 --release
+}
+
+set_up_aot() {
+  cd $EXECUTORCH_ROOT
+  if [ ! -d "cmake-out" ]; then
+      mkdir cmake-out
+  fi
+  pushd cmake-out
+  cmake .. \
+      -DCMAKE_INSTALL_PREFIX=$PWD \
+      -DEXECUTORCH_BUILD_QNN=ON \
+      -DQNN_SDK_ROOT=${QNN_SDK_ROOT} \
+      -DEXECUTORCH_BUILD_DEVTOOLS=ON \
+      -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+      -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
+      -DEXECUTORCH_ENABLE_EVENT_TRACER=ON \
+      -DPYTHON_EXECUTABLE=python3 \
+      -DEXECUTORCH_SEPARATE_FLATCC_HOST_PROJECT=OFF
+  cmake --build $PWD --target "PyQnnManagerAdaptor" "PyQnnWrapperAdaptor" -j$(nproc)
+  # install Python APIs to correct import path
+  # The filename might vary depending on your Python and host version.
+  cp -f backends/qualcomm/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so $EXECUTORCH_ROOT/backends/qualcomm/python
+  cp -f backends/qualcomm/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so $EXECUTORCH_ROOT/backends/qualcomm/python
+  popd
+
+  # Workaround for fbs files in exir/_serialize
+  cp schema/program.fbs exir/_serialize/program.fbs
+  cp schema/scalar_type.fbs exir/_serialize/scalar_type.fbs
+}
+
+build_qnn_backend
+set_up_aot
diff --git a/.ci/scripts/build_llama_android.sh b/.ci/scripts/build_llama_android.sh
index 644fc4c2bb..7d3370ee56 100644
--- a/.ci/scripts/build_llama_android.sh
+++ b/.ci/scripts/build_llama_android.sh
@@ -22,8 +22,9 @@ install_executorch_and_backend_lib() {
     -DANDROID_PLATFORM=android-23 \
     -DCMAKE_INSTALL_PREFIX=cmake-android-out \
     -DCMAKE_BUILD_TYPE=Release \
-    -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
     -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
     -DEXECUTORCH_BUILD_XNNPACK=ON \
     -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
     -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
diff --git a/.ci/scripts/gather_test_models.py b/.ci/scripts/gather_test_models.py
index 55289140c4..36a64e4241 100755
--- a/.ci/scripts/gather_test_models.py
+++ b/.ci/scripts/gather_test_models.py
@@ -27,6 +27,7 @@
         # This one causes timeout on smaller runner, the root cause is unclear (T161064121)
         "dl3": "linux.12xlarge",
         "emformer_join": "linux.12xlarge",
+        "emformer_predict": "linux.12xlarge",
     }
 }
 
@@ -35,9 +36,11 @@
     # Just some examples on how custom timeout can be set
     "linux": {
         "mobilebert": 90,
+        "emformer_predict": 360,
     },
     "macos": {
         "mobilebert": 90,
+        "emformer_predict": 360,
     },
 }
 
@@ -84,7 +87,11 @@ def model_should_run_on_event(model: str, event: str) -> bool:
     """
     if event == "pull_request":
         return model in ["mv3", "vit"]
-    return True
+    elif event == "push":
+        # 'emformer_predict' is running super slow. Only run it periodically
+        return model not in ["emformer_predict"]
+    else:
+        return True
 
 
 def model_should_run_on_target_os(model: str, target_os: str) -> bool:
diff --git a/.ci/scripts/setup-ios.sh b/.ci/scripts/setup-ios.sh
new file mode 100755
index 0000000000..519cd2581e
--- /dev/null
+++ b/.ci/scripts/setup-ios.sh
@@ -0,0 +1,33 @@
+#!/bin/bash
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+set -exu
+
+# This script follows the instructions from GitHub to install an Apple certificate
+# https://docs.github.com/en/actions/use-cases-and-examples/deploying/installing-an-apple-certificate-on-macos-runners-for-xcode-development
+
+CERTIFICATE_PATH="${RUNNER_TEMP}"/build_certificate.p12
+PP_PATH="${RUNNER_TEMP}"/build_pp.mobileprovision
+KEYCHAIN_PATH="${RUNNER_TEMP}"/app-signing.keychain-db
+
+# Import certificate and provisioning profile from secrets
+echo -n "$BUILD_CERTIFICATE_BASE64" | base64 --decode -o $CERTIFICATE_PATH
+echo -n "$BUILD_PROVISION_PROFILE_BASE64" | base64 --decode -o $PP_PATH
+
+# Create a temporary keychain
+security create-keychain -p "$KEYCHAIN_PASSWORD" $KEYCHAIN_PATH
+security set-keychain-settings -lut 21600 $KEYCHAIN_PATH
+security unlock-keychain -p "$KEYCHAIN_PASSWORD" $KEYCHAIN_PATH
+
+# Import certificate to the keychain
+security import $CERTIFICATE_PATH -P "" -A -t cert -f pkcs12 -k $KEYCHAIN_PATH
+security set-key-partition-list -S apple-tool:,apple: -k "$KEYCHAIN_PASSWORD" $KEYCHAIN_PATH
+security list-keychain -d user -s $KEYCHAIN_PATH
+
+# Apply provisioning profile
+mkdir -p ~/Library/MobileDevice/Provisioning\ Profiles
+cp $PP_PATH ~/Library/MobileDevice/Provisioning\ Profiles
diff --git a/.ci/scripts/setup-linux.sh b/.ci/scripts/setup-linux.sh
index 4bccabad5c..5df4668f65 100755
--- a/.ci/scripts/setup-linux.sh
+++ b/.ci/scripts/setup-linux.sh
@@ -20,6 +20,5 @@ fi
 
 # As Linux job is running inside a Docker container, all of its dependencies
 # have already been installed
-install_flatc_from_source
 install_executorch
 build_executorch_runner "${BUILD_TOOL}"
diff --git a/.ci/scripts/setup-macos.sh b/.ci/scripts/setup-macos.sh
index 2be7d9efe8..833ba0aafe 100755
--- a/.ci/scripts/setup-macos.sh
+++ b/.ci/scripts/setup-macos.sh
@@ -128,7 +128,5 @@ if [[ -z "${GITHUB_RUNNER:-}" ]]; then
 fi
 
 print_cmake_info
-install_pytorch_and_domains
-install_flatc_from_source
 install_executorch
 build_executorch_runner "${BUILD_TOOL}"
diff --git a/.ci/scripts/setup-qnn-deps.sh b/.ci/scripts/setup-qnn-deps.sh
new file mode 100644
index 0000000000..92ffd07bcc
--- /dev/null
+++ b/.ci/scripts/setup-qnn-deps.sh
@@ -0,0 +1,51 @@
+#!/bin/bash
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+set -ex
+
+verify_pkg_installed() {
+  echo $(dpkg-query -W --showformat='${Status}\n' $1|grep "install ok installed")
+}
+
+install_qnn() {
+  echo "Start installing qnn."
+  QNN_INSTALLATION_DIR=/tmp/qnn
+  mkdir -p "${QNN_INSTALLATION_DIR}"
+
+  curl -Lo /tmp/v2.25.0.24.07.28.zip "https://softwarecenter.qualcomm.com/api/download/software/qualcomm_neural_processing_sdk/v2.25.0.240728.zip"
+  echo "Finishing downloading qnn sdk."
+  unzip -qo /tmp/v2.25.0.24.07.28.zip -d /tmp
+  echo "Finishing unzip qnn sdk."
+
+
+  # Print the content for manual verification
+  ls -lah "/tmp/qairt"
+  mv "/tmp/qairt"/* "${QNN_INSTALLATION_DIR}"
+  echo "Finishing installing qnn '${QNN_INSTALLATION_DIR}' ."
+
+  ls -lah "${QNN_INSTALLATION_DIR}"
+}
+
+setup_libc++() {
+  sudo apt-get update
+  pkgs_to_check=('libc++-dev')
+  j=0
+  while [ $j -lt ${#pkgs_to_check[*]} ]; do
+    install_status=$(verify_pkg_installed ${pkgs_to_check[$j]})
+    if [ "$install_status" == "" ]; then
+      sudo apt-get install -y ${pkgs_to_check[$j]}
+      if [[ $? -ne 0 ]]; then
+        echo "ERROR: Failed to install required packages for libc++"
+        exit 1
+      fi
+    fi
+    j=$(( $j +1));
+  done
+}
+
+setup_libc++
+install_qnn
diff --git a/.ci/scripts/test.sh b/.ci/scripts/test.sh
deleted file mode 100755
index ad02fdc79d..0000000000
--- a/.ci/scripts/test.sh
+++ /dev/null
@@ -1,157 +0,0 @@
-#!/bin/bash
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-set -exu
-
-# shellcheck source=/dev/null
-source "$(dirname "${BASH_SOURCE[0]}")/utils.sh"
-
-MODEL_NAME=$1
-if [[ -z "${MODEL_NAME:-}" ]]; then
-  echo "Missing model name, exiting..."
-  exit 1
-fi
-
-BUILD_TOOL=$2
-if [[ -z "${BUILD_TOOL:-}" ]]; then
-  echo "Missing build tool (require buck2 or cmake), exiting..."
-  exit 1
-fi
-
-BACKEND=$3
-if [[ -z "${BACKEND:-}" ]]; then
-  echo "Missing backend (require portable or xnnpack), exiting..."
-  exit 1
-fi
-
-which "${PYTHON_EXECUTABLE}"
-# Just set this variable here, it's cheap even if we use buck2
-CMAKE_OUTPUT_DIR=cmake-out
-
-build_cmake_executor_runner() {
-  echo "Building executor_runner"
-  (rm -rf ${CMAKE_OUTPUT_DIR} \
-    && mkdir ${CMAKE_OUTPUT_DIR} \
-    && cd ${CMAKE_OUTPUT_DIR} \
-    && retry cmake -DCMAKE_BUILD_TYPE=Release \
-      -DPYTHON_EXECUTABLE="$PYTHON_EXECUTABLE" ..)
-
-  cmake --build ${CMAKE_OUTPUT_DIR} -j4
-}
-
-run_portable_executor_runner() {
-  # Run test model
-  if [[ "${BUILD_TOOL}" == "buck2" ]]; then
-    buck2 run //examples/portable/executor_runner:executor_runner -- --model_path "./${MODEL_NAME}.pte"
-  elif [[ "${BUILD_TOOL}" == "cmake" ]]; then
-    if [[ ! -f ${CMAKE_OUTPUT_DIR}/executor_runner ]]; then
-      build_cmake_executor_runner
-    fi
-    ./${CMAKE_OUTPUT_DIR}/executor_runner --model_path "./${MODEL_NAME}.pte"
-  else
-    echo "Invalid build tool ${BUILD_TOOL}. Only buck2 and cmake are supported atm"
-    exit 1
-  fi
-}
-
-test_model() {
-  if [[ "${MODEL_NAME}" == "llama2" ]]; then
-    # Install requirements for export_llama
-    bash examples/models/llama2/install_requirements.sh
-    # Test export_llama script: python3 -m examples.models.llama2.export_llama
-    "${PYTHON_EXECUTABLE}" -m examples.models.llama2.export_llama -c examples/models/llama2/params/demo_rand_params.pth -p examples/models/llama2/params/demo_config.json
-    run_portable_executor_runner
-    rm "./${MODEL_NAME}.pte"
-  fi
-  STRICT="--strict"
-  if [[ "${MODEL_NAME}" == "llava" ]]; then
-    # Install requirements for llava
-    bash examples/models/llava/install_requirements.sh
-    STRICT="--no-strict"
-  fi
-  # python3 -m examples.portable.scripts.export --model_name="llama2" should works too
-  "${PYTHON_EXECUTABLE}" -m examples.portable.scripts.export --model_name="${MODEL_NAME}" "${STRICT}"
-  run_portable_executor_runner
-}
-
-build_cmake_xnn_executor_runner() {
-  echo "Building xnn_executor_runner"
-  SITE_PACKAGES="$(${PYTHON_EXECUTABLE} -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())')"
-  CMAKE_PREFIX_PATH="${SITE_PACKAGES}/torch"
-
-  (rm -rf ${CMAKE_OUTPUT_DIR} \
-    && mkdir ${CMAKE_OUTPUT_DIR} \
-    && cd ${CMAKE_OUTPUT_DIR} \
-    && retry cmake -DCMAKE_BUILD_TYPE=Release \
-      -DEXECUTORCH_BUILD_XNNPACK=ON \
-      -DCMAKE_PREFIX_PATH="$CMAKE_PREFIX_PATH" \
-      -DPYTHON_EXECUTABLE="$PYTHON_EXECUTABLE" ..)
-
-  cmake --build ${CMAKE_OUTPUT_DIR} -j4
-}
-
-test_model_with_xnnpack() {
-  WITH_QUANTIZATION=$1
-  WITH_DELEGATION=$2
-
-  # Quantization-only
-  if [[ ${WITH_QUANTIZATION} == true ]] && [[ ${WITH_DELEGATION} == false ]]; then
-    bash examples/xnnpack/quantization/test_quantize.sh "${BUILD_TOOL}" "${MODEL_NAME}"
-    return 0
-  fi
-
-  # Delegation
-  if [[ ${WITH_QUANTIZATION} == true ]]; then
-    SUFFIX="q8"
-    "${PYTHON_EXECUTABLE}" -m examples.xnnpack.aot_compiler --model_name="${MODEL_NAME}" --delegate --quantize
-  else
-    SUFFIX="fp32"
-    "${PYTHON_EXECUTABLE}" -m examples.xnnpack.aot_compiler --model_name="${MODEL_NAME}" --delegate
-  fi
-
-  OUTPUT_MODEL_PATH="${MODEL_NAME}_xnnpack_${SUFFIX}.pte"
-
-  # Run test model
-  if [[ "${BUILD_TOOL}" == "buck2" ]]; then
-    buck2 run //examples/xnnpack:xnn_executor_runner -- --model_path "${OUTPUT_MODEL_PATH}"
-  elif [[ "${BUILD_TOOL}" == "cmake" ]]; then
-    if [[ ! -f ${CMAKE_OUTPUT_DIR}/backends/xnnpack/xnn_executor_runner ]]; then
-      build_cmake_xnn_executor_runner
-    fi
-    ./${CMAKE_OUTPUT_DIR}/backends/xnnpack/xnn_executor_runner --model_path "${OUTPUT_MODEL_PATH}"
-  else
-    echo "Invalid build tool ${BUILD_TOOL}. Only buck2 and cmake are supported atm"
-    exit 1
-  fi
-}
-
-if [[ "${BACKEND}" == "portable" ]]; then
-  echo "Testing ${MODEL_NAME} with portable kernels..."
-  test_model
-else
-  set +e
-  if [[ "${BACKEND}" == *"quantization"* ]]; then
-    echo "::group::Testing ${MODEL_NAME} with XNNPACK quantization only..."
-    test_model_with_xnnpack true false || Q_ERROR="error"
-    echo "::endgroup::"
-  fi
-  if [[ "${BACKEND}" == *"delegation"* ]]; then
-    echo "::group::Testing ${MODEL_NAME} with XNNPACK delegation only..."
-    test_model_with_xnnpack false true || D_ERROR="error"
-    echo "::endgroup::"
-  fi
-  if [[ "${BACKEND}" == *"quantization"* ]] && [[ "${BACKEND}" == *"delegation"* ]]; then
-    echo "::group::Testing ${MODEL_NAME} with XNNPACK quantization and delegation..."
-    test_model_with_xnnpack true true || Q_D_ERROR="error"
-    echo "::endgroup::"
-  fi
-  set -e
-  if [[ -n "${Q_ERROR:-}" ]] || [[ -n "${D_ERROR:-}" ]] || [[ -n "${Q_D_ERROR:-}" ]]; then
-    echo "Portable q8 ${Q_ERROR:-ok}," "Delegation fp32 ${D_ERROR:-ok}," "Delegation q8 ${Q_D_ERROR:-ok}"
-    exit 1
-  fi
-fi
diff --git a/.ci/scripts/test_llama.sh b/.ci/scripts/test_llama.sh
index 30b77ee38f..2e51866d90 100644
--- a/.ci/scripts/test_llama.sh
+++ b/.ci/scripts/test_llama.sh
@@ -9,10 +9,11 @@ set -exu
 # shellcheck source=/dev/null
 source "$(dirname "${BASH_SOURCE[0]}")/utils.sh"
 
-MODEL_NAME=$1 # stories110M.pt
+MODEL_NAME=$1 # stories110M
 BUILD_TOOL=$2 # buck2 or cmake
-DTYPE=$3 # fp16 or fp32
+DTYPE=$3 # fp16, bf16, or fp32
 MODE=${4:-"xnnpack+custom"} # portable or xnnpack+custom or xnnpack+custom+qe
+UPLOAD_DIR=${5:-}
 if [[ $# -lt 4 ]]; then # Assuming 4 mandatory args
     echo "Expecting atleast 4 positional arguments"
     echo "Usage: [...]"
@@ -28,7 +29,7 @@ if [[ -z "${BUILD_TOOL:-}" ]]; then
 fi
 
 if [[ -z "${DTYPE:-}" ]]; then
-  echo "Missing dtype, choose fp16 or fp32, exiting..."
+  echo "Missing dtype, choose fp16, bf16, or fp32, exiting..."
   exit 1
 fi
 
@@ -71,6 +72,25 @@ fi
 
 echo "COREML option ${COREML}"
 
+if [[ "${MODE}" =~ .*qnn.* ]]; then
+  QNN=ON
+  export EXECUTORCH_ROOT="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")/.." && pwd)"
+  export QNN_SDK_ROOT=/tmp/qnn/2.25.0.240728
+  export LD_LIBRARY_PATH="${QNN_SDK_ROOT}/lib/x86_64-linux-clang"
+  export PYTHONPATH=".."
+  cp schema/program.fbs exir/_serialize/program.fbs
+  cp schema/scalar_type.fbs exir/_serialize/scalar_type.fbs
+  cp -f build-x86/backends/qualcomm/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so backends/qualcomm/python
+  cp -f build-x86/backends/qualcomm/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so backends/qualcomm/python
+
+else
+  QNN=OFF
+  QNN_SDK_ROOT=""
+fi
+
+echo "QNN option ${QNN}"
+echo "QNN_SDK_ROOT: ${QNN_SDK_ROOT}"
+
 if [[ -z "${BUCK:-}" ]]; then
   BUCK=buck2
 fi
@@ -87,14 +107,17 @@ cmake_install_executorch_libraries() {
     retry cmake \
         -DCMAKE_INSTALL_PREFIX=cmake-out \
         -DCMAKE_BUILD_TYPE=Debug \
-        -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
         -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
+        -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+        -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
         -DEXECUTORCH_BUILD_KERNELS_CUSTOM="$CUSTOM" \
         -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
         -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
         -DEXECUTORCH_BUILD_XNNPACK="$XNNPACK" \
         -DEXECUTORCH_BUILD_MPS="$MPS" \
         -DEXECUTORCH_BUILD_COREML="$COREML" \
+        -DEXECUTORCH_BUILD_QNN="$QNN" \
+        -DQNN_SDK_ROOT="$QNN_SDK_ROOT" \
         -DPYTHON_EXECUTABLE="$PYTHON_EXECUTABLE" \
         -Bcmake-out .
     cmake --build cmake-out -j9 --target install --config Debug
@@ -118,7 +141,7 @@ cmake_build_llama_runner() {
 
 cleanup_files() {
   echo "Deleting downloaded and generated files"
-  rm "${MODEL_NAME}"
+  rm "${CHECKPOINT_FILE_NAME}"
   rm tokenizer.model
   rm tokenizer.bin
   rm "${EXPORTED_MODEL_NAME}"
@@ -126,10 +149,21 @@ cleanup_files() {
   rm params.json
 }
 
+prepare_artifacts_upload() {
+  if [ -n "$UPLOAD_DIR" ]; then
+    echo "Preparing for uploading generated artifacs"
+    zip -j model.zip "${EXPORTED_MODEL_NAME}" tokenizer.bin
+    mkdir -p "${UPLOAD_DIR}"
+    mv model.zip "${UPLOAD_DIR}"
+  fi
+}
+
 # Download and create artifacts.
 PARAMS="params.json"
+CHECKPOINT_FILE_NAME=""
 touch "${PARAMS}"
-if [[ "${MODEL_NAME}" == "stories110M.pt" ]]; then
+if [[ "${MODEL_NAME}" == "stories110M" ]]; then
+  CHECKPOINT_FILE_NAME="stories110M.pt"
   download_stories_model_artifacts
 else
   echo "Unsupported model name ${MODEL_NAME}"
@@ -140,6 +174,8 @@ fi
 EXPORTED_MODEL_NAME="llama2"
 if [[ "${DTYPE}" == "fp16" ]]; then
   EXPORTED_MODEL_NAME="${EXPORTED_MODEL_NAME}_h"
+elif [[ "${DTYPE}" == "bf16" ]]; then
+  EXPORTED_MODEL_NAME="${EXPORTED_MODEL_NAME}_bf"
 elif [[ "${DTYPE}" == "fp32" ]]; then
   :
 else
@@ -150,7 +186,7 @@ fi
 # Export model.
 EXPORTED_MODEL_NAME="${EXPORTED_MODEL_NAME}.pte"
 echo "Exporting ${EXPORTED_MODEL_NAME}"
-EXPORT_ARGS="-c stories110M.pt -p ${PARAMS} -d ${DTYPE} -n ${EXPORTED_MODEL_NAME} -kv"
+EXPORT_ARGS="-c ${CHECKPOINT_FILE_NAME} -p ${PARAMS} -d ${DTYPE} -n ${EXPORTED_MODEL_NAME} -kv"
 if [[ "${XNNPACK}" == "ON" ]]; then
   EXPORT_ARGS="${EXPORT_ARGS} -X -qmode 8da4w -G 128"
 fi
@@ -166,6 +202,9 @@ fi
 if [[ "${COREML}" == "ON" ]]; then
   EXPORT_ARGS="${EXPORT_ARGS} -kv -v --coreml --disable_dynamic_shape"
 fi
+if [[ "${QNN}" == "ON" ]]; then
+  EXPORT_ARGS="${EXPORT_ARGS} -kv -v --qnn --disable_dynamic_shape"
+fi
 # Add dynamically linked library location
 $PYTHON_EXECUTABLE -m examples.models.llama2.export_llama ${EXPORT_ARGS}
 
@@ -205,6 +244,7 @@ if [[ "${RESULT}" == "${EXPECTED_PREFIX}"* ]]; then
   echo "Actual result: ${RESULT}"
   echo "Success"
 
+  prepare_artifacts_upload
   cleanup_files
 else
   echo "Expected result prefix: ${EXPECTED_PREFIX}"
diff --git a/.ci/scripts/test_llava.sh b/.ci/scripts/test_llava.sh
new file mode 100644
index 0000000000..8ac87b2302
--- /dev/null
+++ b/.ci/scripts/test_llava.sh
@@ -0,0 +1,190 @@
+#!/bin/bash
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+set -exu
+# shellcheck source=/dev/null
+
+BUILD_TYPE=${1:-Debug}
+TARGET_OS=${2:-Native}
+BUILD_DIR=${3:-cmake-out}
+
+echo "Building with BUILD_TYPE: $BUILD_TYPE, TARGET_OS: $TARGET_OS, BUILD_DIR: $BUILD_DIR"
+
+if [[ -z "${PYTHON_EXECUTABLE:-}" ]]; then
+    PYTHON_EXECUTABLE=python3
+fi
+
+TARGET_OS_lower="$(echo "${TARGET_OS}" | awk '{print tolower($0)}')"
+if [[ "${TARGET_OS_lower}" == "android" ]]; then
+    if [[ -z "${ANDROID_NDK}" ]]; then
+        echo "Set ANDROID_NDK environment variable to build for Android."
+        exit 1
+    fi
+fi
+
+# Number of processes for a parallel build
+NPROC=8
+if hash nproc &> /dev/null; then NPROC=$(nproc); fi
+
+EXECUTORCH_COMMON_CMAKE_ARGS="                      \
+        -DCMAKE_INSTALL_PREFIX=${BUILD_DIR}         \
+        -DCMAKE_BUILD_TYPE=${BUILD_TYPE}            \
+        -DEXECUTORCH_ENABLE_LOGGING=ON              \
+        -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON      \
+        -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
+        -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON      \
+        -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON        \
+        -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON     \
+        -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON     \
+        -DEXECUTORCH_BUILD_XNNPACK=ON               \
+        -DEXECUTORCH_DO_NOT_USE_CXX11_ABI=ON        \
+        -DEXECUTORCH_XNNPACK_SHARED_WORKSPACE=ON"
+
+cmake_install_executorch_libraries() {
+    cmake                               \
+        ${EXECUTORCH_COMMON_CMAKE_ARGS} \
+        -B${BUILD_DIR} .
+
+    cmake --build ${BUILD_DIR} -j${NPROC} --target install --config ${BUILD_TYPE}
+}
+
+cmake_install_executorch_libraries_for_android() {
+    cmake                                                                       \
+        -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake \
+        -DANDROID_ABI=arm64-v8a                                                 \
+        -DANDROID_PLATFORM=android-23                                           \
+        ${EXECUTORCH_COMMON_CMAKE_ARGS}                                         \
+        -B${BUILD_DIR} .
+
+    cmake --build ${BUILD_DIR} -j${NPROC} --target install --config ${BUILD_TYPE}
+}
+
+
+LLAVA_COMMON_CMAKE_ARGS="                        \
+        -DPYTHON_EXECUTABLE="$PYTHON_EXECUTABLE" \
+        -DCMAKE_INSTALL_PREFIX=${BUILD_DIR}      \
+        -DCMAKE_BUILD_TYPE=${BUILD_TYPE}         \
+        -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON     \
+        -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON  \
+        -DEXECUTORCH_BUILD_XNNPACK=ON"
+
+cmake_build_llava_runner() {
+    dir=examples/models/llava
+    python_lib=$($PYTHON_EXECUTABLE -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())')
+
+    cmake                                 \
+        ${LLAVA_COMMON_CMAKE_ARGS}        \
+        -DCMAKE_PREFIX_PATH="$python_lib" \
+        -B${BUILD_DIR}/${dir}             \
+        ${dir}
+
+    cmake --build ${BUILD_DIR}/${dir} -j${NPROC} --config ${BUILD_TYPE}
+}
+
+
+cmake_build_llava_runner_for_android() {
+    dir=examples/models/llava
+    python_lib=$($PYTHON_EXECUTABLE -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())')
+
+    cmake                                                                       \
+        -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake \
+        -DANDROID_ABI=arm64-v8a                                                 \
+        -DANDROID_PLATFORM=android-23                                           \
+        ${LLAVA_COMMON_CMAKE_ARGS}                                              \
+        -DCMAKE_PREFIX_PATH="$python_lib"                                       \
+        -DLLAVA_RUNNER_NO_TORCH_DUMMY_IMAGE=ON                                  \
+        -B${BUILD_DIR}/${dir}                                                   \
+        ${dir}
+
+    cmake --build ${BUILD_DIR}/${dir} -j${NPROC} --config ${BUILD_TYPE}
+}
+
+# only export the one without custom op for now since it's
+export_llava() {
+    echo "Starting to export Llava. This will take about 6 mins"
+    $PYTHON_EXECUTABLE -m executorch.examples.models.llava.export_llava --pte-name llava.pte --with-artifacts
+}
+
+# Download a new image with different size, to test if the model can handle different image sizes
+prepare_image_tensor() {
+    echo "Downloading image"
+    curl -o basketball.jpg https://upload.wikimedia.org/wikipedia/commons/7/73/Chicago_Bulls_and_New_Jersey_Nets%2C_March_28%2C_1991.jpg
+    $PYTHON_EXECUTABLE -m executorch.examples.models.llava.image_util --image-path basketball.jpg --output-path image.pt
+}
+
+run_and_verify() {
+    NOW=$(date +"%H:%M:%S")
+    echo "Starting to run llava runner at ${NOW}"
+    if [[ ! -f "llava.pte" ]]; then
+        echo "Export failed. Abort"
+        exit 1
+    fi
+    if [[ ! -f "image.pt" ]]; then
+        echo "image.pt is missing."
+        exit 1
+    fi
+    if [[ ! -f "tokenizer.bin" ]]; then
+        echo "tokenizer.bin is missing."
+        exit 1
+    fi
+
+
+
+    RUNTIME_ARGS="--model_path=llava.pte    \
+        --tokenizer_path=tokenizer.bin      \
+        --image_path=image.pt               \
+        --prompt=ASSISTANT:                 \
+        --temperature=0                     \
+        --seq_len=650"
+
+    if [[ "${TARGET_OS_lower}" == "android" ]]; then
+        echo "Transfer relevant files to the phone via ADB and run llava_main with following args,"
+        echo "$ llava_main ${RUNTIME_ARGS} "
+        exit 0;
+    fi
+
+    ${BUILD_DIR}/examples/models/llava/llava_main ${RUNTIME_ARGS} > result.txt
+
+    # verify result.txt
+    RESULT=$(cat result.txt)
+    # set the expected prefix to be the same as prompt because there's a bug in sdpa_with_kv_cache that causes <unk> tokens.
+    if [[ "$(uname)" == "Darwin" ]]; then
+        EXPECTED_PREFIX="ASSISTANT: image captures a basketball game in progress, with several players on the court. One of the players is dribbling the ball, while the others are in various"
+    else
+        # set the expected prefix to be the same as prompt because there's a bug in sdpa_with_kv_cache that causes <unk> tokens.
+        EXPECTED_PREFIX="ASSISTANT:"
+    fi
+    if [[ "${RESULT}" == *"${EXPECTED_PREFIX}"* ]]; then
+        echo "Expected result prefix: ${EXPECTED_PREFIX}"
+        echo "Actual result: ${RESULT}"
+        echo "Success"
+        exit 0
+    else
+        echo "Expected result prefix: ${EXPECTED_PREFIX}"
+        echo "Actual result: ${RESULT}"
+        echo "Failure; results not the same"
+        exit 1
+    fi
+}
+
+# Step1. Build stuff
+if [[ "${TARGET_OS_lower}" == "android" ]]; then
+    cmake_install_executorch_libraries_for_android
+    cmake_build_llava_runner_for_android
+elif [[ "${TARGET_OS_lower}" == "native" ]]; then
+    cmake_install_executorch_libraries
+    cmake_build_llava_runner
+else
+    echo "Invalid TARGET_OS ($2): ${TARGET_OS}"
+fi
+
+# Step2. Generate the PTE
+export_llava
+
+# Step3. Run
+prepare_image_tensor
+run_and_verify
diff --git a/.ci/scripts/test_model.sh b/.ci/scripts/test_model.sh
new file mode 100755
index 0000000000..f558a508c9
--- /dev/null
+++ b/.ci/scripts/test_model.sh
@@ -0,0 +1,245 @@
+#!/bin/bash
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+set -exu
+
+# shellcheck source=/dev/null
+source "$(dirname "${BASH_SOURCE[0]}")/utils.sh"
+
+MODEL_NAME=$1
+if [[ -z "${MODEL_NAME:-}" ]]; then
+  echo "Missing model name, exiting..."
+  exit 1
+fi
+
+BUILD_TOOL=$2
+if [[ -z "${BUILD_TOOL:-}" ]]; then
+  echo "Missing build tool (require buck2 or cmake), exiting..."
+  exit 1
+fi
+
+BACKEND=$3
+if [[ -z "${BACKEND:-}" ]]; then
+  echo "Missing backend (require portable or xnnpack), exiting..."
+  exit 1
+fi
+
+UPLOAD_DIR=${4:-}
+
+if [[ -z "${PYTHON_EXECUTABLE:-}" ]]; then
+  PYTHON_EXECUTABLE=python3
+fi
+which "${PYTHON_EXECUTABLE}"
+
+# Just set this variable here, it's cheap even if we use buck2
+CMAKE_OUTPUT_DIR=cmake-out
+EXPORTED_MODEL=${MODEL_NAME}
+
+prepare_artifacts_upload() {
+  if [ -n "$UPLOAD_DIR" ]; then
+    echo "Preparing for uploading generated artifacs"
+    zip -j model.zip "${EXPORTED_MODEL}"
+    mkdir -p "${UPLOAD_DIR}"
+    mv model.zip "${UPLOAD_DIR}"
+  fi
+}
+
+build_cmake_executor_runner() {
+  echo "Building executor_runner"
+  rm -rf ${CMAKE_OUTPUT_DIR}
+  cmake -DCMAKE_BUILD_TYPE=Debug \
+      -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
+      -DPYTHON_EXECUTABLE="$PYTHON_EXECUTABLE" \
+      -B${CMAKE_OUTPUT_DIR} .
+
+  cmake --build ${CMAKE_OUTPUT_DIR} -j4 --config Debug
+}
+
+run_portable_executor_runner() {
+  # Run test model
+  if [[ "${BUILD_TOOL}" == "buck2" ]]; then
+    buck2 run //examples/portable/executor_runner:executor_runner -- --model_path "./${MODEL_NAME}.pte"
+  elif [[ "${BUILD_TOOL}" == "cmake" ]]; then
+    build_cmake_executor_runner
+    ./${CMAKE_OUTPUT_DIR}/executor_runner --model_path "./${MODEL_NAME}.pte"
+  else
+    echo "Invalid build tool ${BUILD_TOOL}. Only buck2 and cmake are supported atm"
+    exit 1
+  fi
+}
+
+test_model() {
+  if [[ "${MODEL_NAME}" == "llama2" ]]; then
+    # Install requirements for export_llama
+    bash examples/models/llama2/install_requirements.sh
+    # Test export_llama script: python3 -m examples.models.llama2.export_llama
+    "${PYTHON_EXECUTABLE}" -m examples.models.llama2.export_llama -c examples/models/llama2/params/demo_rand_params.pth -p examples/models/llama2/params/demo_config.json
+    run_portable_executor_runner
+    rm "./${MODEL_NAME}.pte"
+  fi
+  STRICT="--strict"
+  if [[ "${MODEL_NAME}" == "llava" ]]; then
+    # Install requirements for llava
+    bash examples/models/llava/install_requirements.sh
+    STRICT="--no-strict"
+  fi
+  # python3 -m examples.portable.scripts.export --model_name="llama2" should works too
+  "${PYTHON_EXECUTABLE}" -m examples.portable.scripts.export --model_name="${MODEL_NAME}" "${STRICT}"
+  run_portable_executor_runner
+}
+
+build_cmake_xnn_executor_runner() {
+  echo "Building xnn_executor_runner"
+  SITE_PACKAGES="$(${PYTHON_EXECUTABLE} -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())')"
+  CMAKE_PREFIX_PATH="${SITE_PACKAGES}/torch"
+
+  (rm -rf ${CMAKE_OUTPUT_DIR} \
+    && mkdir ${CMAKE_OUTPUT_DIR} \
+    && cd ${CMAKE_OUTPUT_DIR} \
+    && retry cmake -DCMAKE_BUILD_TYPE=Release \
+      -DEXECUTORCH_BUILD_XNNPACK=ON \
+      -DCMAKE_PREFIX_PATH="$CMAKE_PREFIX_PATH" \
+      -DPYTHON_EXECUTABLE="$PYTHON_EXECUTABLE" ..)
+
+  cmake --build ${CMAKE_OUTPUT_DIR} -j4
+}
+
+test_model_with_xnnpack() {
+  WITH_QUANTIZATION=$1
+  WITH_DELEGATION=$2
+
+  # Quantization-only
+  if [[ ${WITH_QUANTIZATION} == true ]] && [[ ${WITH_DELEGATION} == false ]]; then
+    bash examples/xnnpack/quantization/test_quantize.sh "${BUILD_TOOL}" "${MODEL_NAME}"
+    return 0
+  fi
+
+  # Delegation
+  if [[ ${WITH_QUANTIZATION} == true ]]; then
+    SUFFIX="q8"
+    "${PYTHON_EXECUTABLE}" -m examples.xnnpack.aot_compiler --model_name="${MODEL_NAME}" --delegate --quantize
+  else
+    SUFFIX="fp32"
+    "${PYTHON_EXECUTABLE}" -m examples.xnnpack.aot_compiler --model_name="${MODEL_NAME}" --delegate
+  fi
+
+  OUTPUT_MODEL_PATH="${MODEL_NAME}_xnnpack_${SUFFIX}.pte"
+  EXPORTED_MODEL=${OUTPUT_MODEL_PATH}
+
+  # Run test model
+  if [[ "${BUILD_TOOL}" == "buck2" ]]; then
+    buck2 run //examples/xnnpack:xnn_executor_runner -- --model_path "${OUTPUT_MODEL_PATH}"
+  elif [[ "${BUILD_TOOL}" == "cmake" ]]; then
+    if [[ ! -f ${CMAKE_OUTPUT_DIR}/backends/xnnpack/xnn_executor_runner ]]; then
+      build_cmake_xnn_executor_runner
+    fi
+    ./${CMAKE_OUTPUT_DIR}/backends/xnnpack/xnn_executor_runner --model_path "${OUTPUT_MODEL_PATH}"
+  else
+    echo "Invalid build tool ${BUILD_TOOL}. Only buck2 and cmake are supported atm"
+    exit 1
+  fi
+}
+
+test_model_with_qnn() {
+  source "$(dirname "${BASH_SOURCE[0]}")/build-qnn-sdk.sh"
+  echo "ANDROID_NDK_ROOT: $ANDROID_NDK_ROOT"
+  echo "QNN_SDK_ROOT: $QNN_SDK_ROOT"
+  echo "EXECUTORCH_ROOT: $EXECUTORCH_ROOT"
+
+  export LD_LIBRARY_PATH=$QNN_SDK_ROOT/lib/x86_64-linux-clang/
+  export PYTHONPATH=$EXECUTORCH_ROOT/..
+
+  if [[ "${MODEL_NAME}" == "dl3" ]]; then
+    EXPORT_SCRIPT=deeplab_v3
+    EXPORTED_MODEL_NAME=dlv3_qnn.pte
+  elif [[ "${MODEL_NAME}" == "mv3" ]]; then
+    EXPORT_SCRIPT=mobilenet_v3
+    EXPORTED_MODEL_NAME=mv3_qnn.pte
+  elif [[ "${MODEL_NAME}" == "mv2" ]]; then
+    EXPORT_SCRIPT=mobilenet_v2
+    EXPORTED_MODEL_NAME=mv2_qnn.pte
+  elif [[ "${MODEL_NAME}" == "ic4" ]]; then
+    EXPORT_SCRIPT=inception_v4
+    EXPORTED_MODEL_NAME=ic4_qnn.pte
+  elif [[ "${MODEL_NAME}" == "ic3" ]]; then
+    EXPORT_SCRIPT=inception_v3
+    EXPORTED_MODEL_NAME=ic3_qnn.pte
+  elif [[ "${MODEL_NAME}" == "vit" ]]; then
+    EXPORT_SCRIPT=torchvision_vit
+    EXPORTED_MODEL_NAME=vit_qnn.pte
+  fi
+
+  # Use SM8450 for S22, SM8550 for S23, and SM8560 for S24
+  # TODO(guangyang): Make QNN chipset matches the target device
+  QNN_CHIPSET=SM8450
+
+  "${PYTHON_EXECUTABLE}" -m examples.qualcomm.scripts.${EXPORT_SCRIPT} -b ${CMAKE_OUTPUT_DIR} -m ${QNN_CHIPSET} --compile_only
+  EXPORTED_MODEL=./${EXPORT_SCRIPT}/${EXPORTED_MODEL_NAME}
+}
+
+test_model_with_coreml() {
+  if [[ "${BUILD_TOOL}" == "buck2" ]]; then
+    echo "coreml doesn't support buck2."
+    exit 1
+  fi
+
+  "${PYTHON_EXECUTABLE}" -m examples.apple.coreml.scripts.export --model_name="${MODEL_NAME}"
+  EXPORTED_MODEL=$(find "." -type f -name "${MODEL_NAME}*.pte" -print -quit)
+}
+
+if [[ "${BACKEND}" == "portable" ]]; then
+  echo "Testing ${MODEL_NAME} with portable kernels..."
+  test_model
+elif [[ "${BACKEND}" == "qnn" ]]; then
+  echo "Testing ${MODEL_NAME} with qnn..."
+  test_model_with_qnn
+  if [[ $? -eq 0 ]]; then
+    prepare_artifacts_upload
+  fi
+elif [[ "${BACKEND}" == "coreml" ]]; then
+  echo "Testing ${MODEL_NAME} with coreml..."
+  test_model_with_coreml
+  if [[ $? -eq 0 ]]; then
+    prepare_artifacts_upload
+  fi
+elif [[ "${BACKEND}" == "xnnpack" ]]; then
+  echo "Testing ${MODEL_NAME} with xnnpack..."
+  WITH_QUANTIZATION=true
+  WITH_DELEGATION=true
+  if [[ "$MODEL_NAME" == "mobilebert" ]]; then
+    # TODO(T197452682)
+    WITH_QUANTIZATION=false
+  fi
+  test_model_with_xnnpack "${WITH_QUANTIZATION}" "${WITH_DELEGATION}"
+  if [[ $? -eq 0 ]]; then
+    prepare_artifacts_upload
+  fi
+else
+  set +e
+  if [[ "${BACKEND}" == *"quantization"* ]]; then
+    echo "::group::Testing ${MODEL_NAME} with XNNPACK quantization only..."
+    test_model_with_xnnpack true false || Q_ERROR="error"
+    echo "::endgroup::"
+  fi
+  if [[ "${BACKEND}" == *"delegation"* ]]; then
+    echo "::group::Testing ${MODEL_NAME} with XNNPACK delegation only..."
+    test_model_with_xnnpack false true || D_ERROR="error"
+    echo "::endgroup::"
+  fi
+  if [[ "${BACKEND}" == *"quantization"* ]] && [[ "${BACKEND}" == *"delegation"* ]]; then
+    echo "::group::Testing ${MODEL_NAME} with XNNPACK quantization and delegation..."
+    test_model_with_xnnpack true true || Q_D_ERROR="error"
+    echo "::endgroup::"
+  fi
+  set -e
+  if [[ -n "${Q_ERROR:-}" ]] || [[ -n "${D_ERROR:-}" ]] || [[ -n "${Q_D_ERROR:-}" ]]; then
+    echo "Portable q8 ${Q_ERROR:-ok}," "Delegation fp32 ${D_ERROR:-ok}," "Delegation q8 ${Q_D_ERROR:-ok}"
+    exit 1
+  else
+    prepare_artifacts_upload
+  fi
+fi
diff --git a/.ci/scripts/utils.sh b/.ci/scripts/utils.sh
index e293a49f37..64c512cdcc 100644
--- a/.ci/scripts/utils.sh
+++ b/.ci/scripts/utils.sh
@@ -19,11 +19,9 @@ retry () {
 install_executorch() {
   which pip
   # Install executorch, this assumes that Executorch is checked out in the
-  # current directory. The --extra-index-url options tell pip to look on the
-  # pytorch servers for nightly and pre-release versions of torch packages.
-  pip install . --no-build-isolation -v \
-      --extra-index-url https://download.pytorch.org/whl/test/cpu \
-      --extra-index-url https://download.pytorch.org/whl/nightly/cpu
+  # current directory.
+  # TODO(T199538337): clean up install scripts to use install_requirements.sh
+  ./install_requirements.sh --pybind xnnpack
   # Just print out the list of packages for debugging
   pip list
 }
@@ -35,42 +33,6 @@ install_pip_dependencies() {
   popd || return
 }
 
-install_domains() {
-  echo "Install torchvision and torchaudio"
-  pip install --no-use-pep517 --user "git+https://github.com/pytorch/audio.git@${TORCHAUDIO_VERSION}"
-  pip install --no-use-pep517 --user "git+https://github.com/pytorch/vision.git@${TORCHVISION_VERSION}"
-}
-
-install_pytorch_and_domains() {
-  pushd .ci/docker || return
-  TORCH_VERSION=$(cat ci_commit_pins/pytorch.txt)
-  popd || return
-
-  git clone https://github.com/pytorch/pytorch.git
-
-  # Fetch the target commit
-  pushd pytorch || return
-  git checkout "${TORCH_VERSION}"
-  git submodule update --init --recursive
-
-  export _GLIBCXX_USE_CXX11_ABI=0
-  # Then build and install PyTorch
-  python setup.py bdist_wheel
-  pip install "$(echo dist/*.whl)"
-
-  # Grab the pinned audio and vision commits from PyTorch
-  TORCHAUDIO_VERSION=$(cat .github/ci_commit_pins/audio.txt)
-  export TORCHAUDIO_VERSION
-  TORCHVISION_VERSION=$(cat .github/ci_commit_pins/vision.txt)
-  export TORCHVISION_VERSION
-
-  install_domains
-
-  popd || return
-  # Print sccache stats for debugging
-  sccache --show-stats || true
-}
-
 install_flatc_from_source() {
   # NB: This function could be used to install flatbuffer from source
   pushd third-party/flatbuffers || return
diff --git a/examples/models/llama2/custom_ops/__init__.py b/.github/ghstack_direct
similarity index 100%
rename from examples/models/llama2/custom_ops/__init__.py
rename to .github/ghstack_direct
diff --git a/.github/pytorch-probot.yml b/.github/pytorch-probot.yml
index f684d83fa5..2b66829ed0 100644
--- a/.github/pytorch-probot.yml
+++ b/.github/pytorch-probot.yml
@@ -1,5 +1,7 @@
 # The schema is from https://github.com/pytorch/pytorch/blob/main/.github/pytorch-probot.yml
 ciflow_push_tags:
+- ciflow/android
+- ciflow/apple
 - ciflow/nightly
 - ciflow/trunk
 - ciflow/binaries
diff --git a/.github/workflows/android-perf.yml b/.github/workflows/android-perf.yml
new file mode 100644
index 0000000000..78c1a2dd09
--- /dev/null
+++ b/.github/workflows/android-perf.yml
@@ -0,0 +1,240 @@
+name: android-perf
+
+on:
+  schedule:
+    - cron: 0 0 * * *
+  # Note: GitHub has an upper limit of 10 inputs
+  workflow_dispatch:
+    inputs:
+      models:
+        description: Models to be benchmarked
+        required: false
+        type: string
+        default: stories110M
+      devices:
+        description: Target devices to run benchmark
+        required: false
+        type: string
+        default: samsung_galaxy_s22
+      delegates:
+        description: Backend delegates
+        required: false
+        type: string
+        default: xnnpack
+      threadpool:
+        description: Run with threadpool?
+        required: false
+        type: boolean
+        default: false
+      benchmark_configs:
+        description: The list of configs used the benchmark
+        required: false
+        type: string
+      test_spec:
+        description: The test spec to drive the test on AWS devices
+        required: false
+        type: string
+  workflow_call:
+    inputs:
+      models:
+        description: Models to be benchmarked
+        required: false
+        type: string
+        default: stories110M
+      devices:
+        description: Target devices to run benchmark
+        required: false
+        type: string
+        default: samsung_galaxy_s22
+      delegates:
+        description: Backend delegates
+        required: false
+        type: string
+        default: xnnpack
+      threadpool:
+        description: Run with threadpool?
+        required: false
+        type: boolean
+        default: false
+      benchmark_configs:
+        description: The list of configs used the benchmark
+        required: false
+        type: string
+      test_spec:
+        description: The test spec to drive the test on AWS devices
+        required: false
+        type: string
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }}
+  cancel-in-progress: true
+
+jobs:
+  set-parameters:
+    runs-on: linux.2xlarge
+    outputs:
+      models: ${{ steps.set-parameters.outputs.models }}
+      devices: ${{ steps.set-parameters.outputs.devices }}
+      delegates: ${{ steps.set-parameters.outputs.delegates }}
+    steps:
+      - name: Set parameters
+        id: set-parameters
+        shell: bash
+        env:
+          # Separate default values from the workflow dispatch. To ensure defaults are accessible
+          # during scheduled runs and to provide flexibility for different defaults between
+          # on-demand and periodic benchmarking.
+          CRON_DEFAULT_MODELS: "stories110M,dl3,mv3,mv2,ic4,ic3,vit"
+          CRON_DEFAULT_DEVICES: "samsung_galaxy_s22"
+          CRON_DEFAULT_DELEGATES: "xnnpack,qnn"
+        run: |
+          set -ex
+          MODELS="${{ inputs.models }}"
+          if [ -z "$MODELS" ]; then
+            MODELS="$CRON_DEFAULT_MODELS"
+          fi
+          DEVICES="${{ inputs.devices }}"
+          if [ -z "$DEVICES" ]; then
+            DEVICES="$CRON_DEFAULT_DEVICES"
+          fi
+          DELEGATES="${{ inputs.delegates }}"
+          if [ -z "$DELEGATES" ]; then
+            DELEGATES="$CRON_DEFAULT_DELEGATES"
+          fi
+
+          # Mapping devices to their corresponding device-pool-arn
+          declare -A DEVICE_POOL_ARNS
+          DEVICE_POOL_ARNS[samsung_galaxy_s22]="arn:aws:devicefarm:us-west-2:308535385114:devicepool:02a2cf0f-6d9b-45ee-ba1a-a086587469e6/e59f866a-30aa-4aa1-87b7-4510e5820dfa"
+          DEVICE_POOL_ARNS[samsung_galaxy_s24]="arn:aws:devicefarm:us-west-2:308535385114:devicepool:02a2cf0f-6d9b-45ee-ba1a-a086587469e6/98f8788c-2e25-4a3c-8bb2-0d1e8897c0db"
+
+          # Resolve device names with their corresponding ARNs
+          if [[ ! $(echo "$DEVICES" | jq empty 2>/dev/null) ]]; then
+            DEVICES=$(echo "$DEVICES" | jq -Rc 'split(",")')
+          fi
+          declare -a MAPPED_ARNS=()
+          for DEVICE in $(echo "$DEVICES" | jq -r '.[]'); do
+            if [[ -z "${DEVICE_POOL_ARNS[$DEVICE]}" ]]; then
+              echo "Error: No ARN found for device '$DEVICE'. Abort." >&2
+              exit 1
+            fi
+            MAPPED_ARNS+=("${DEVICE_POOL_ARNS[$DEVICE]}")
+          done
+
+          echo "models=$(echo $MODELS | jq -Rc 'split(",")')" >> $GITHUB_OUTPUT
+          MAPPED_ARNS_JSON=$(printf '%s\n' "${MAPPED_ARNS[@]}" | jq -R . | jq -s .)
+          echo "devices=$(echo "$MAPPED_ARNS_JSON" | jq -c .)" >> $GITHUB_OUTPUT
+          echo "delegates=$(echo $DELEGATES | jq -Rc 'split(",")')" >> $GITHUB_OUTPUT
+
+  export-models:
+    name: export-models
+    uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
+    needs: set-parameters
+    strategy:
+      matrix:
+          model: ${{ fromJson(needs.set-parameters.outputs.models) }}
+          delegate: ${{ fromJson(needs.set-parameters.outputs.delegates) }}
+      fail-fast: false
+    with:
+      runner: linux.2xlarge
+      docker-image: executorch-ubuntu-22.04-clang12-android
+      submodules: 'true'
+      timeout: 60
+      upload-artifact: android-models
+      upload-artifact-to-s3: true
+      script: |
+        # The generic Linux job chooses to use base env, not the one setup by the image
+        echo "::group::Setting up dev environment"
+        CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
+        conda activate "${CONDA_ENV}"
+        if [[ ${{ matrix.delegate }} == "qnn" ]]; then
+            PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
+            PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh
+        fi
+        PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "cmake"
+        ARTIFACTS_DIR_NAME=artifacts-to-be-uploaded/${{ matrix.model }}_${{ matrix.delegate }}
+        echo "::endgroup::"
+
+        echo "::group::Exporting ${{ matrix.delegate }} model: ${{ matrix.model }}"
+        BUILD_MODE="cmake"
+        DTYPE="fp32"
+
+        if [[ ${{ matrix.model }} =~ ^stories* ]]; then
+            # Install requirements for export_llama
+            PYTHON_EXECUTABLE=python bash examples/models/llama2/install_requirements.sh
+            # Test llama2
+            if [[ ${{ matrix.delegate }} == "xnnpack" ]]; then
+                DELEGATE_CONFIG="xnnpack+custom+qe"
+            elif [[ ${{ matrix.delegate }} == "qnn" ]]; then
+                DELEGATE_CONFIG="qnn"
+            else
+                echo "Unsupported delegate ${{ matrix.delegate }}"
+                exit 1
+            fi
+            PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh "${{ matrix.model }}" "${BUILD_MODE}" "${DTYPE}" "${DELEGATE_CONFIG}" "${ARTIFACTS_DIR_NAME}"
+        else
+            PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${{ matrix.model }}" "${BUILD_MODE}" "${{ matrix.delegate }}" "${ARTIFACTS_DIR_NAME}"
+        fi
+        echo "::endgroup::"
+
+  build-llm-demo:
+    name: build-llm-demo
+    uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
+    needs: set-parameters
+    with:
+      runner: linux.2xlarge
+      docker-image: executorch-ubuntu-22.04-clang12-android
+      submodules: 'true'
+      ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
+      timeout: 90
+      upload-artifact: android-apps
+      upload-artifact-to-s3: true
+      script: |
+        set -eux
+
+        # The generic Linux job chooses to use base env, not the one setup by the image
+        CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
+        conda activate "${CONDA_ENV}"
+        PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh cmake
+        export ARTIFACTS_DIR_NAME=artifacts-to-be-uploaded
+
+        PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
+        PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh
+
+        export ANDROID_ABIS="arm64-v8a"
+        PYTHON_EXECUTABLE=python EXECUTORCH_BUILD_QNN=ON QNN_SDK_ROOT=/tmp/qnn/2.25.0.240728 bash build/build_android_llm_demo.sh ${ARTIFACTS_DIR_NAME}
+
+  # Let's see how expensive this job is, we might want to tone it down by running it periodically
+  benchmark-on-device:
+    permissions:
+      id-token: write
+      contents: read
+    uses: pytorch/test-infra/.github/workflows/mobile_job.yml@main
+    needs:
+      - set-parameters
+      - build-llm-demo
+      - export-models
+    strategy:
+      matrix:
+        model: ${{ fromJson(needs.set-parameters.outputs.models) }}
+        delegate: ${{ fromJson(needs.set-parameters.outputs.delegates) }}
+        device: ${{ fromJson(needs.set-parameters.outputs.devices) }}
+      fail-fast: false
+    with:
+      # Due to scheduling a job may be pushed beyond the default 60m threshold
+      timeout: 120
+      device-type: android
+      runner: linux.2xlarge
+      test-infra-ref: ''
+      # This is the ARN of ExecuTorch project on AWS
+      project-arn: arn:aws:devicefarm:us-west-2:308535385114:project:02a2cf0f-6d9b-45ee-ba1a-a086587469e6
+      device-pool-arn: ${{ matrix.device }}
+      # Uploaded to S3 from the previous job, the name of the app comes from the project itself.
+      # Unlike models there are limited numbers of build flavor for apps, and the model controls whether it should build with bpe/tiktoken tokenizer.
+      # It's okay to build all possible apps with all possible flavors in job "build-llm-demo". However, in this job, once a model is given, there is only
+      # one app+flavor that could load and run the model.
+      android-app-archive: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifacts/minibench/app-debug.apk
+      android-test-archive: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifacts/minibench/app-debug-androidTest.apk
+      # NB: Need to set the default spec here so that it works for periodic too
+      test-spec: ${{ inputs.test_spec || 'https://ossci-android.s3.amazonaws.com/executorch/android-llm-device-farm-test-spec.yml' }}
+      # Uploaded to S3 from the previous job
+      extra-data: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifacts/${{ matrix.model }}_${{ matrix.delegate }}/model.zip
diff --git a/.github/workflows/android.yml b/.github/workflows/android.yml
index 7b3d8ab9a8..54e9dbb761 100644
--- a/.github/workflows/android.yml
+++ b/.github/workflows/android.yml
@@ -5,6 +5,8 @@ on:
     branches:
       - main
       - release/*
+    tags:
+      - ciflow/android/*
   pull_request:
     paths:
       - .ci/docker/**
@@ -24,9 +26,6 @@ jobs:
   build-llm-demo:
     name: build-llm-demo
     uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
-    strategy:
-      matrix:
-          tokenizer: [bpe, tiktoken]
     with:
       runner: linux.2xlarge
       docker-image: executorch-ubuntu-22.04-clang12-android
@@ -34,6 +33,7 @@ jobs:
       ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
       timeout: 90
       upload-artifact: android-apps
+      upload-artifact-to-s3: true
       script: |
         set -eux
 
@@ -44,44 +44,13 @@ jobs:
         export ARTIFACTS_DIR_NAME=artifacts-to-be-uploaded
 
         # Build LLM Demo for Android
-        bash build/build_android_llm_demo.sh ${{ matrix.tokenizer }} ${ARTIFACTS_DIR_NAME}
-
-  # Upload artifacts to S3. The artifacts are needed not only by the device farm but also TorchChat
-  upload-artifacts:
-    needs: build-llm-demo
-    runs-on: linux.2xlarge
-    steps:
-      - name: Download the artifacts from GitHub
-        uses: actions/download-artifact@v3
-        with:
-          # The name here needs to match the name of the upload-artifact parameter
-          name: android-apps
-          path: ${{ runner.temp }}/artifacts/
-
-      - name: Verify the artifacts
-        shell: bash
-        working-directory: ${{ runner.temp }}/artifacts/
-        run: |
-          ls -lah ./
-
-      - name: Upload the artifacts to S3
-        uses: seemethere/upload-artifact-s3@v5
-        with:
-          s3-bucket: gha-artifacts
-          s3-prefix: |
-            ${{ github.repository }}/${{ github.run_id }}/artifact
-          # NOTE: Consume stale artifacts won't make sense for benchmarking as the goal is always to
-          # benchmark models as fresh as possible. I'm okay to keep the 14 retention-days for now
-          # for TorchChat until we have a periodic job can publish it more often. Ideally I want to
-          # reduce it to <= 2 day, meaning the benchmark job will run daily.
-          retention-days: 14
-          if-no-files-found: ignore
-          path: ${{ runner.temp }}/artifacts/
+        bash build/build_android_llm_demo.sh ${ARTIFACTS_DIR_NAME}
 
   # Running Android emulator directly on the runner and not using Docker
   run-emulator:
     needs: build-llm-demo
-    runs-on: amz2023.linux.4xlarge
+    # NB: Use metal install for KVM support to run the emulator faster
+    runs-on: linux.24xl.spr-metal
     env:
       ANDROID_NDK_VERSION: r26c
       API_LEVEL: 34
@@ -129,9 +98,6 @@ jobs:
         uses: reactivecircus/android-emulator-runner@v2
         with:
           api-level: ${{ env.API_LEVEL }}
-          # NB: x86_64 emulator is slow because the lack of KVM support on AWS, it
-          # seems that we can use metal instance for that but it hasn't been tried
-          # out yet. Also arm64-v8a arch requires an ARM runner
           arch: x86_64
           script: ./build/run_android_emulator.sh
           # NB: This is to boot the emulator faster following the instructions on
@@ -144,34 +110,3 @@ jobs:
           emulator-options: -no-snapshot-save -no-window -gpu swiftshader_indirect -noaudio -no-boot-anim -camera-back none
           # This is to make sure that the job doesn't fail flakily
           emulator-boot-timeout: 900
-
-  # Let's see how expensive this job is, we might want to tone it down by running it periodically
-  test-llama-app:
-    needs: upload-artifacts
-    permissions:
-      id-token: write
-      contents: read
-    uses: pytorch/test-infra/.github/workflows/mobile_job.yml@main
-    strategy:
-      matrix:
-        # https://github.com/pytorch/executorch/blob/main/examples/demo-apps/android/LlamaDemo/README.md#alternative-2-build-from-local-machine
-        # mentions that tiktoken is only for Llama3. So, we can export it later in another archive
-        # like https://ossci-assets.s3.amazonaws.com/executorch-android-llama2-7b-0717.zip when this is
-        # updated to run Llama3
-        tokenizer: [bpe]
-    with:
-      device-type: android
-      runner: linux.2xlarge
-      test-infra-ref: ''
-      # This is the ARN of ExecuTorch project on AWS
-      project-arn: arn:aws:devicefarm:us-west-2:308535385114:project:02a2cf0f-6d9b-45ee-ba1a-a086587469e6
-      # This is the custom Android device pool that only includes Samsung Galaxy S2x
-      device-pool-arn: arn:aws:devicefarm:us-west-2:308535385114:devicepool:02a2cf0f-6d9b-45ee-ba1a-a086587469e6/e59f866a-30aa-4aa1-87b7-4510e5820dfa
-      # Uploaded to S3 from the previous job, the name of the app comes from the project itself
-      android-app-archive: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifact/llm_demo_${{ matrix.tokenizer }}/app-debug.apk
-      android-test-archive: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifact/llm_demo_${{ matrix.tokenizer }}/app-debug-androidTest.apk
-      # The test spec can be downloaded from https://ossci-assets.s3.amazonaws.com/android-llama2-device-farm-test-spec.yml
-      test-spec: arn:aws:devicefarm:us-west-2:308535385114:upload:02a2cf0f-6d9b-45ee-ba1a-a086587469e6/abd86868-fa63-467e-a5c7-218194665a77
-      # Among the input, this is the biggest file, so it is cached on AWS to make the test faster. Note that the file is deleted by AWS after 30
-      # days and the job will automatically re-upload the file when that happens.
-      extra-data: https://ossci-assets.s3.amazonaws.com/executorch-android-llama2-7b-0717.zip
diff --git a/.github/workflows/apple-perf.yml b/.github/workflows/apple-perf.yml
new file mode 100644
index 0000000000..b4b1d3aef5
--- /dev/null
+++ b/.github/workflows/apple-perf.yml
@@ -0,0 +1,308 @@
+name: apple-perf
+
+on:
+  schedule:
+    - cron: 0 1 * * *
+  # Note: GitHub has an upper limit of 10 inputs
+  workflow_dispatch:
+    inputs:
+      models:
+        description: Models to be benchmarked
+        required: false
+        type: string
+        default: stories110M
+      devices:
+        description: Target devices to run benchmark
+        required: false
+        type: string
+        default: apple_iphone_15
+      delegates:
+        description: Backend delegates
+        required: false
+        type: string
+        default: xnnpack
+      benchmark_configs:
+        description: The list of configs used the benchmark
+        required: false
+        type: string
+      test_spec:
+        description: The test spec to drive the test on AWS devices
+        required: false
+        type: string
+  workflow_call:
+    inputs:
+      models:
+        description: Models to be benchmarked
+        required: false
+        type: string
+        default: stories110M
+      devices:
+        description: Target devices to run benchmark
+        required: false
+        type: string
+        default: apple_iphone_15
+      delegates:
+        description: Backend delegates
+        required: false
+        type: string
+        default: xnnpack
+      benchmark_configs:
+        description: The list of configs used the benchmark
+        required: false
+        type: string
+      test_spec:
+        description: The test spec to drive the test on AWS devices
+        required: false
+        type: string
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }}
+  cancel-in-progress: true
+
+jobs:
+  set-parameters:
+    runs-on: linux.2xlarge
+    outputs:
+      models: ${{ steps.set-parameters.outputs.models }}
+      devices: ${{ steps.set-parameters.outputs.devices }}
+      delegates: ${{ steps.set-parameters.outputs.delegates }}
+    steps:
+      - name: Set parameters
+        id: set-parameters
+        shell: bash
+        env:
+          # Separate default values from the workflow dispatch. To ensure defaults are accessible
+          # during scheduled runs and to provide flexibility for different defaults between
+          # on-demand and periodic benchmarking.
+          CRON_DEFAULT_MODELS: "stories110M,mv3,ic4,resnet50,edsr,mobilebert,w2l"
+          CRON_DEFAULT_DEVICES: "apple_iphone_15"
+          CRON_DEFAULT_DELEGATES: "xnnpack,coreml"
+        run: |
+          set -ex
+          MODELS="${{ inputs.models }}"
+          if [ -z "$MODELS" ]; then
+            MODELS="$CRON_DEFAULT_MODELS"
+          fi
+          DEVICES="${{ inputs.devices }}"
+          if [ -z "$DEVICES" ]; then
+            DEVICES="$CRON_DEFAULT_DEVICES"
+          fi
+          DELEGATES="${{ inputs.delegates }}"
+          if [ -z "$DELEGATES" ]; then
+            DELEGATES="$CRON_DEFAULT_DELEGATES"
+          fi
+
+          # Mapping devices to their corresponding device-pool-arn
+          declare -A DEVICE_POOL_ARNS
+          DEVICE_POOL_ARNS[apple_iphone_15]="arn:aws:devicefarm:us-west-2:308535385114:devicepool:02a2cf0f-6d9b-45ee-ba1a-a086587469e6/3b5acd2e-92e2-4778-b651-7726bafe129d"
+
+          # Resolve device names with their corresponding ARNs
+          if [[ ! $(echo "$DEVICES" | jq empty 2>/dev/null) ]]; then
+            DEVICES=$(echo "$DEVICES" | jq -Rc 'split(",")')
+          fi
+          declare -a MAPPED_ARNS=()
+          for DEVICE in $(echo "$DEVICES" | jq -r '.[]'); do
+            if [[ -z "${DEVICE_POOL_ARNS[$DEVICE]}" ]]; then
+              echo "Error: No ARN found for device '$DEVICE'. Abort." >&2
+              exit 1
+            fi
+            MAPPED_ARNS+=("${DEVICE_POOL_ARNS[$DEVICE]}")
+          done
+
+          echo "models=$(echo $MODELS | jq -Rc 'split(",")')" >> $GITHUB_OUTPUT
+          MAPPED_ARNS_JSON=$(printf '%s\n' "${MAPPED_ARNS[@]}" | jq -R . | jq -s .)
+          echo "devices=$(echo "$MAPPED_ARNS_JSON" | jq -c .)" >> $GITHUB_OUTPUT
+          echo "delegates=$(echo $DELEGATES | jq -Rc 'split(",")')" >> $GITHUB_OUTPUT
+
+  export-models:
+    name: export-models
+    uses: pytorch/test-infra/.github/workflows/macos_job.yml@main
+    needs: set-parameters
+    strategy:
+      matrix:
+          model: ${{ fromJson(needs.set-parameters.outputs.models) }}
+          delegate: ${{ fromJson(needs.set-parameters.outputs.delegates) }}
+      fail-fast: false
+    with:
+      # NB: Need to use our AWS MacOS runner to upload large models to S3
+      runner: macos-m1-stable
+      python-version: '3.11'
+      submodules: 'true'
+      timeout: 60
+      upload-artifact: ios-models
+      upload-artifact-to-s3: true
+      script: |
+        set -eux
+
+        echo "::group::Setting up CI environment"
+        .ci/scripts/setup-conda.sh
+
+        BUILD_TOOL=cmake
+        # Setup MacOS dependencies as there is no Docker support on MacOS atm
+        GITHUB_RUNNER=1 PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \
+          .ci/scripts/setup-macos.sh "${BUILD_TOOL}"
+
+        if [[ ${{ matrix.delegate }} == "coreml" ]]; then
+          PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \
+            backends/apple/coreml/scripts/install_requirements.sh
+        fi
+
+        if [[ ${{ matrix.delegate }} == "mps" ]]; then
+          PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \
+            backends/apple/mps/install_requirements.sh
+        fi
+
+        ARTIFACTS_DIR_NAME=artifacts-to-be-uploaded/${{ matrix.model }}_${{ matrix.delegate }}
+        echo "::endgroup::"
+
+        echo "::group::Exporting ${{ matrix.delegate }} model: ${{ matrix.model }}"
+        BUILD_MODE="cmake"
+        DTYPE="fp32"
+
+        if [[ ${{ matrix.model }} =~ ^stories* ]]; then
+          # Install requirements for export_llama
+          PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \
+            bash examples/models/llama2/install_requirements.sh
+
+          # Test llama2
+          if [[ ${{ matrix.delegate }} == "xnnpack" ]]; then
+            DELEGATE_CONFIG="xnnpack+custom+qe"
+          elif [[ ${{ matrix.delegate }} == "coreml" ]]; then
+            DELEGATE_CONFIG="coreml"
+          fi
+          PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \
+            bash .ci/scripts/test_llama.sh "${{ matrix.model }}" "${BUILD_MODE}" "${DTYPE}" "${DELEGATE_CONFIG}" "${ARTIFACTS_DIR_NAME}"
+        else
+          PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \
+            bash .ci/scripts/test_model.sh "${{ matrix.model }}" "${BUILD_MODE}" "${{ matrix.delegate }}" "${ARTIFACTS_DIR_NAME}"
+        fi
+        echo "::endgroup::"
+
+  build-benchmark-app:
+    name: build-benchmark-app
+    uses: pytorch/test-infra/.github/workflows/macos_job.yml@main
+    needs:
+      - set-parameters
+    secrets: inherit
+    with:
+      runner: macos-latest-xlarge
+      python-version: '3.11'
+      submodules: 'true'
+      ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
+      upload-artifact: ios-apps
+      secrets-env: BUILD_CERTIFICATE_BASE64 EXECUTORCH_BENCHMARK_BUILD_PROVISION_PROFILE_BASE64 KEYCHAIN_PASSWORD
+      timeout: 90
+      script: |
+        set -eux
+
+        echo "::group::Setting up CI environment"
+        .ci/scripts/setup-conda.sh
+
+        BUILD_TOOL=cmake
+        # Setup MacOS dependencies as there is no Docker support on MacOS atm
+        GITHUB_RUNNER=1 PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \
+        .ci/scripts/setup-macos.sh "${BUILD_TOOL}"
+        export ARTIFACTS_DIR_NAME=artifacts-to-be-uploaded
+
+        # Setup Apple certificate for iOS development
+        BUILD_PROVISION_PROFILE_BASE64="${SECRET_EXECUTORCH_BENCHMARK_BUILD_PROVISION_PROFILE_BASE64}" \
+        BUILD_CERTIFICATE_BASE64="${SECRET_BUILD_CERTIFICATE_BASE64}" \
+        KEYCHAIN_PASSWORD="${SECRET_KEYCHAIN_PASSWORD}" \
+        .ci/scripts/setup-ios.sh
+
+        # Install CoreML Backend Requirements
+        PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \
+          backends/apple/coreml/scripts/install_requirements.sh
+
+        # Install MPS Backend Requirements
+        PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \
+          backends/apple/mps/install_requirements.sh
+        echo "::endgroup::"
+
+        echo "::group::Build ExecuTorch iOS frameworks"
+        FRAMEWORKS=(
+          "executorch"
+          "backend_coreml"
+          "backend_mps"
+          "backend_xnnpack"
+          "kernels_custom"
+          "kernels_optimized"
+          "kernels_portable"
+          "kernels_quantized"
+        )
+
+        # Build Release iOS Frameworks
+        PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \
+          build/build_apple_frameworks.sh --coreml --custom --mps --optimized --portable --quantized --xnnpack
+
+        mkdir -p extension/apple/Benchmark/Frameworks
+        for FRAMEWORK in "${FRAMEWORKS[@]}"; do (
+          cp -r "cmake-out/${FRAMEWORK}.xcframework" extension/apple/Benchmark/Frameworks/
+        ) done
+        echo "::endgroup::"
+
+        # NB: Although exported models can be copied to this directory and bundled together with the
+        # app, we don't use this in CI and rely on AWS extra data parameter to make the model and the
+        # tokenizer available to the benchmark. This decouples the app and the model. We just need to
+        # create the directory here to pass the build
+        mkdir -p extension/apple/Benchmark/Models
+        ${CONDA_RUN} --no-capture-output \
+          build/build_apple_llm_demo.sh ${ARTIFACTS_DIR_NAME}
+
+  upload-benchmark-app:
+    needs: build-benchmark-app
+    runs-on: linux.2xlarge
+    steps:
+      - name: Download the apps from GitHub
+        uses: actions/download-artifact@v3
+        with:
+          # The name here needs to match the name of the upload-artifact parameter
+          name: ios-apps
+          path: ${{ runner.temp }}/artifacts/
+
+      - name: Verify the apps
+        shell: bash
+        working-directory: ${{ runner.temp }}/artifacts/
+        run: |
+          ls -lah ./
+
+      - name: Upload the apps to S3
+        uses: seemethere/upload-artifact-s3@v5
+        with:
+          s3-bucket: gha-artifacts
+          s3-prefix: |
+            ${{ github.repository }}/${{ github.run_id }}/artifacts
+          retention-days: 14
+          if-no-files-found: ignore
+          path: ${{ runner.temp }}/artifacts/
+
+  benchmark-on-device:
+    needs:
+      - set-parameters
+      - upload-benchmark-app
+      - export-models
+    permissions:
+      id-token: write
+      contents: read
+    uses: pytorch/test-infra/.github/workflows/mobile_job.yml@main
+    strategy:
+      matrix:
+        model: ${{ fromJson(needs.set-parameters.outputs.models) }}
+        delegate: ${{ fromJson(needs.set-parameters.outputs.delegates) }}
+        device: ${{ fromJson(needs.set-parameters.outputs.devices) }}
+      fail-fast: false
+    with:
+      # Due to scheduling a job may be pushed beyond the default 60m threshold
+      timeout: 120
+      device-type: ios
+      # For iOS testing, the runner just needs to call AWS Device Farm, so there is no need to run this on macOS
+      runner: linux.2xlarge
+      test-infra-ref: ''
+      # This is the ARN of ExecuTorch project on AWS
+      project-arn: arn:aws:devicefarm:us-west-2:308535385114:project:02a2cf0f-6d9b-45ee-ba1a-a086587469e6
+      device-pool-arn: ${{ matrix.device }}
+      # Uploaded to S3 from the previous job
+      ios-ipa-archive: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifacts/Benchmark.ipa
+      ios-xctestrun-zip: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifacts/Benchmark.xctestrun.zip
+      test-spec: ${{ inputs.test_spec || 'https://ossci-ios.s3.amazonaws.com/executorch/default-ios-device-farm-appium-test-spec.yml' }}
+      extra-data: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifacts/${{ matrix.model }}_${{ matrix.delegate }}/model.zip
diff --git a/.github/workflows/apple.yml b/.github/workflows/apple.yml
index 60022b81f9..229d8e5abf 100644
--- a/.github/workflows/apple.yml
+++ b/.github/workflows/apple.yml
@@ -8,13 +8,14 @@ on:
   pull_request:
     paths:
       - .ci/docker/**
+      - .ci/scripts/setup-ios.sh
       - .github/workflows/apple.yml
       - install_requirements.sh
       - backends/apple/**
       - build/build_apple_frameworks.sh
       - build/create_frameworks.sh
       - build/test_ios_ci.sh
-      - examples/demo-apps/**
+      - examples/demo-apps/apple_ios/**
       - extension/apple/**
       - extension/module/**
   workflow_dispatch:
@@ -24,27 +25,89 @@ concurrency:
   cancel-in-progress: true
 
 jobs:
-  test-demo-ios:
-    name: test-demo-ios
+  build-demo-ios:
+    name: build-demo-ios
     uses: pytorch/test-infra/.github/workflows/macos_job.yml@main
+    secrets: inherit
     with:
       runner: macos-latest-xlarge
       python-version: '3.11'
       submodules: 'true'
       ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
       timeout: 90
+      secrets-env: BUILD_CERTIFICATE_BASE64 EXECUTORCH_DEMO_BUILD_PROVISION_PROFILE_BASE64 KEYCHAIN_PASSWORD
+      upload-artifact: ios-apps
       script: |
         BUILD_TOOL=cmake
 
         .ci/scripts/setup-conda.sh
 
+        # Setup Apple certificate for iOS development
+        BUILD_PROVISION_PROFILE_BASE64="${SECRET_EXECUTORCH_DEMO_BUILD_PROVISION_PROFILE_BASE64}" \
+        BUILD_CERTIFICATE_BASE64="${SECRET_BUILD_CERTIFICATE_BASE64}" \
+        KEYCHAIN_PASSWORD="${SECRET_KEYCHAIN_PASSWORD}" \
+        .ci/scripts/setup-ios.sh
+
         # Setup MacOS dependencies as there is no Docker support on MacOS atm
         GITHUB_RUNNER=1 PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \
         .ci/scripts/setup-macos.sh "${BUILD_TOOL}"
 
+        export ARTIFACTS_DIR_NAME=artifacts-to-be-uploaded
+
         # Build and test iOS Demo App
         PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \
-        build/test_ios_ci.sh
+        build/test_ios_ci.sh ${ARTIFACTS_DIR_NAME}
+
+  # Upload the test demo app to S3
+  upload-demo-ios:
+    needs: build-demo-ios
+    runs-on: linux.2xlarge
+    steps:
+      - name: Download the artifacts from GitHub
+        uses: actions/download-artifact@v3
+        with:
+          # The name here needs to match the name of the upload-artifact parameter
+          name: ios-apps
+          path: ${{ runner.temp }}/artifacts/
+
+      - name: Verify the artifacts
+        shell: bash
+        working-directory: ${{ runner.temp }}/artifacts/
+        run: |
+          ls -lah ./
+
+      - name: Upload the artifacts to S3
+        uses: seemethere/upload-artifact-s3@v5
+        with:
+          s3-bucket: gha-artifacts
+          s3-prefix: |
+            ${{ github.repository }}/${{ github.run_id }}/artifact
+          retention-days: 14
+          if-no-files-found: ignore
+          path: ${{ runner.temp }}/artifacts/
+
+  test-demo-ios:
+    # Only PR from ExecuTorch itself has permission to access AWS, forked PRs will fail to
+    # authenticate with the cloud service. So, this job will be skipped on the latter
+    if: ${{ !github.event.pull_request.head.repo.fork }}
+    needs: upload-demo-ios
+    permissions:
+      id-token: write
+      contents: read
+    uses: pytorch/test-infra/.github/workflows/mobile_job.yml@main
+    with:
+      device-type: ios
+      # For iOS testing, the runner just needs to call AWS Device Farm, so there is no need to run this on macOS
+      runner: linux.2xlarge
+      test-infra-ref: ''
+      # This is the ARN of ExecuTorch project on AWS
+      project-arn: arn:aws:devicefarm:us-west-2:308535385114:project:02a2cf0f-6d9b-45ee-ba1a-a086587469e6
+      # This is the custom device pool that only includes iOS devices
+      device-pool-arn: arn:aws:devicefarm:us-west-2:308535385114:devicepool:02a2cf0f-6d9b-45ee-ba1a-a086587469e6/3b5acd2e-92e2-4778-b651-7726bafe129d
+      # Uploaded to S3 from the previous job
+      ios-ipa-archive: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifact/ExecuTorchDemo.ipa
+      ios-xctestrun-zip: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifact/ExecuTorchDemo.xctestrun.zip
+      test-spec: https://ossci-ios.s3.amazonaws.com/executorch/default-ios-device-farm-appium-test-spec.yml
 
   build-frameworks-ios:
     name: build-frameworks-ios
diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml
index 7cb2cf69b8..56b70409d7 100644
--- a/.github/workflows/lint.yml
+++ b/.github/workflows/lint.yml
@@ -54,3 +54,25 @@ jobs:
           lint.json || true
 
         exit $RC
+
+  android-java-format:
+    uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
+    with:
+      runner: linux.2xlarge
+      docker-image: executorch-ubuntu-22.04-linter
+      fetch-depth: 0
+      ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
+      script: |
+        FILES_NEEDS_FORMAT=$(/opt/google-java-format -n extension/android/src/main/java/org/pytorch/executorch/*.java \
+          examples/demo-apps/android/ExecuTorchDemo/app/src/main/java/com/example/executorchdemo/*.java \
+          examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/*.java \
+          extension/android/benchmark/app/src/main/java/org/pytorch/minibench/*.java)
+        if [ -n "$FILES_NEEDS_FORMAT" ]; then
+          echo "Warning: The following files need formatting. Please use google-java-format."
+          echo "Use a binary from https://github.com/google/google-java-format/releases/"
+          echo "For example:"
+          echo "wget https://github.com/google/google-java-format/releases/download/v1.23.0/google-java-format_linux-x86-64"
+          echo "chmod +x google-java-format_linux-x86-64"
+          echo "./google-java-format_linux-x86-64 -i $FILES_NEEDS_FORMAT"
+          exit 1
+        fi
diff --git a/.github/workflows/periodic.yml b/.github/workflows/periodic.yml
index 4cc57b0c7f..df13140ca9 100644
--- a/.github/workflows/periodic.yml
+++ b/.github/workflows/periodic.yml
@@ -62,4 +62,4 @@ jobs:
 
         PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "${BUILD_TOOL}"
         # Build and test ExecuTorch
-        PYTHON_EXECUTABLE=python bash .ci/scripts/test.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}" "${DEMO_BACKEND_DELEGATION}"
+        PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}" "${DEMO_BACKEND_DELEGATION}"
diff --git a/.github/workflows/pull.yml b/.github/workflows/pull.yml
index 591a0328b7..d4b81a2334 100644
--- a/.github/workflows/pull.yml
+++ b/.github/workflows/pull.yml
@@ -54,7 +54,7 @@ jobs:
 
         PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "${BUILD_TOOL}"
         # Build and test ExecuTorch with the add model on portable backend.
-        PYTHON_EXECUTABLE=python bash .ci/scripts/test.sh "add" "${BUILD_TOOL}" "portable"
+        PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "add" "${BUILD_TOOL}" "portable"
 
   test-models-linux:
     name: test-models-linux
@@ -81,7 +81,7 @@ jobs:
 
         PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "${BUILD_TOOL}"
         # Build and test ExecuTorch
-        PYTHON_EXECUTABLE=python bash .ci/scripts/test.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}" "${DEMO_BACKEND_DELEGATION}"
+        PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}" "${DEMO_BACKEND_DELEGATION}"
 
   test-llama-runner-linux:
     name: test-llama-runner-linux
@@ -91,6 +91,13 @@ jobs:
         dtype: [fp32]
         build-tool: [buck2, cmake]
         mode: [portable, xnnpack+custom, xnnpack+custom+qe]
+      include:
+        - dtype: bf16
+          build-tool: cmake
+          mode: portable
+        - dtype: bf16
+          build-tool: buck2
+          mode: portable
       fail-fast: false
     with:
       runner: linux.2xlarge
@@ -112,7 +119,7 @@ jobs:
         # Install requirements for export_llama
         PYTHON_EXECUTABLE=python bash examples/models/llama2/install_requirements.sh
         # Test llama2
-        PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh stories110M.pt "${BUILD_TOOL}" "${DTYPE}" "${MODE}"
+        PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh stories110M "${BUILD_TOOL}" "${DTYPE}" "${MODE}"
 
   test-llama-runner-linux-android:
     name: test-llama-runner-linux-android
@@ -187,8 +194,8 @@ jobs:
         # Test selective build
         PYTHON_EXECUTABLE=python bash examples/selective_build/test_selective_build.sh "${BUILD_TOOL}"
 
-  test-export-llava-linux:
-    name: test-export-llava-linux
+  test-llava-runner-linux:
+    name: test-llava-runner-linux
     uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
     strategy:
       fail-fast: false
@@ -205,30 +212,19 @@ jobs:
 
         PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "cmake"
 
+        # install pybind
+        bash install_requirements.sh --pybind xnnpack
+
         # install Llava requirements
         bash examples/models/llama2/install_requirements.sh
         bash examples/models/llava/install_requirements.sh
 
-        # run export_llava.sh
-        python examples/models/llava/export_llava.py --use-sdpa-with-kv-cache --pte-name llava_custom_sdpa.pte
-
-        # verify file exists
-        if [ ! -f "llava_custom_sdpa.pte" ]; then
-            echo "llava_custom_sdpa.pte not found!"
-            exit 1
-        fi
-
-        python examples/models/llava/export_llava.py --no-use-sdpa-with-kv-cache --pte-name llava.pte
-
-        # verify file exists
-        if [ ! -f "llava.pte" ]; then
-            echo "llava.pte not found!"
-            exit 1
-        fi
-
         # run python unittest
         python -m unittest examples.models.llava.test.test_llava
 
+        # run e2e (export, tokenizer and runner)
+        PYTHON_EXECUTABLE=python bash .ci/scripts/test_llava.sh
+
   test-quantized-aot-lib-linux:
     name: test-quantized-aot-lib-linux
     uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
@@ -337,7 +333,7 @@ jobs:
         size=${arr[4]}
         # threshold=48120 on devserver with gcc11.4
         # todo(lfq): update once binary size is below 50kb.
-        threshold="51768"
+        threshold="51784"
         if [[ "$size" -le "$threshold" ]]; then
           echo "Success $size <= $threshold"
         else
@@ -383,3 +379,38 @@ jobs:
 
         # Run pytest with coverage
         pytest -c /dev/null -v -n auto --cov=./ --cov-report=xml backends/arm/test
+
+
+  test-llama-runner-qnn-linux:
+    name: test-llama-runner-qnn-linux
+    uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
+    strategy:
+      matrix:
+        dtype: [fp32]
+        build-tool: [cmake]
+        mode: [qnn]
+      fail-fast: false
+    with:
+      runner: linux.2xlarge
+      docker-image: executorch-ubuntu-22.04-clang12-android
+      submodules: 'true'
+      ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
+      timeout: 900
+      script: |
+        # The generic Linux job chooses to use base env, not the one setup by the image
+        CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
+        conda activate "${CONDA_ENV}"
+
+        DTYPE=${{ matrix.dtype }}
+        BUILD_TOOL=${{ matrix.build-tool }}
+        MODE=${{ matrix.mode }}
+
+        PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
+        PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh
+
+        # Setup executorch
+        PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh buck2
+        # Install requirements for export_llama
+        PYTHON_EXECUTABLE=python bash examples/models/llama2/install_requirements.sh
+        # Test llama2
+        PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh stories110M "${BUILD_TOOL}" "${DTYPE}" "${MODE}"
diff --git a/.github/workflows/trunk.yml b/.github/workflows/trunk.yml
index 9b28d26048..d7130561fa 100644
--- a/.github/workflows/trunk.yml
+++ b/.github/workflows/trunk.yml
@@ -9,6 +9,7 @@ on:
       - ciflow/trunk/*
   pull_request:
     paths:
+      - .ci/docker/ci_commit_pins/pytorch.txt
       - .ci/scripts/**
   workflow_dispatch:
 
@@ -58,7 +59,7 @@ jobs:
         # Setup MacOS dependencies as there is no Docker support on MacOS atm
         PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh "${BUILD_TOOL}"
         # Build and test xecutorch
-        PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}" "${DEMO_BACKEND_DELEGATION}"
+        PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}" "${DEMO_BACKEND_DELEGATION}"
 
   test-custom-ops-macos:
     name: test-custom-ops-macos
@@ -142,7 +143,6 @@ jobs:
         conda activate "${CONDA_ENV}"
 
         source .ci/scripts/utils.sh
-        install_flatc_from_source
         install_executorch
 
         install_arm
@@ -168,7 +168,6 @@ jobs:
         conda activate "${CONDA_ENV}"
 
         source .ci/scripts/utils.sh
-        install_flatc_from_source
         install_executorch
 
         install_arm
@@ -224,8 +223,10 @@ jobs:
     strategy:
       matrix:
         dtype: [fp32]
-        build-tool: [buck2, cmake]
         mode: [portable, xnnpack+kv+custom, mps, coreml]
+        include:
+          - dtype: bf16
+            mode: portable
       fail-fast: false
     with:
       runner: macos-m1-stable
@@ -236,25 +237,12 @@ jobs:
       script: |
 
         DTYPE=${{ matrix.dtype }}
-        BUILD_TOOL=${{ matrix.build-tool }}
         MODE=${{ matrix.mode }}
 
-        if [[ "${BUILD_TOOL}" == "buck2" ]]; then
-          # TODO: Will add more modes that don't support buck2
-          if [[ "${MODE}" == "mps" ]]; then
-            echo "mps doesn't support buck2."
-            exit 0
-          fi
-          if [[ "${MODE}" == "coreml" ]]; then
-            echo "coreml doesn't support buck2."
-            exit 0
-          fi
-        fi
-
         bash .ci/scripts/setup-conda.sh
 
         # Setup executorch
-        PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh "${BUILD_TOOL}"
+        PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh cmake
 
         if [[ "${MODE}" == "mps" ]]; then
           # Install mps delegate
@@ -269,4 +257,180 @@ jobs:
         # Install requirements for export_llama
         PYTHON_EXECUTABLE=python ${CONDA_RUN} bash examples/models/llama2/install_requirements.sh
         # Test llama2
-        PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_llama.sh stories110M.pt "${BUILD_TOOL}" "${DTYPE}" "${MODE}"
+        PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_llama.sh stories110M cmake "${DTYPE}" "${MODE}"
+
+  # # TODO(jackzhxng): Runner consistently runs out of memory before test finishes. Try to find a more powerful runner.
+  # test-llava-runner-macos:
+  #   name: test-llava-runner-macos
+  #   uses: pytorch/test-infra/.github/workflows/macos_job.yml@main
+  #   strategy:
+  #     fail-fast: false
+  #   with:
+  #     runner: macos-14-xlarge
+  #     python-version: '3.11'
+  #     submodules: 'true'
+  #     ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
+  #     timeout: 900
+  #     script: |
+  #       BUILD_TOOL=cmake
+
+  #       bash .ci/scripts/setup-conda.sh
+  #       # Setup MacOS dependencies as there is no Docker support on MacOS atm
+  #       GITHUB_RUNNER=1 PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh "${BUILD_TOOL}"
+
+  #       # install Llava requirements
+  #       ${CONDA_RUN} bash examples/models/llama2/install_requirements.sh
+  #       ${CONDA_RUN} bash examples/models/llava/install_requirements.sh
+
+  #       # run python unittest
+  #       ${CONDA_RUN} python -m unittest examples.models.llava.test.test_llava
+
+  #       # run e2e (export, tokenizer and runner)
+  #       PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_llava.sh Release
+
+  test-qnn-model:
+    name: test-qnn-model
+    uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
+    strategy:
+      matrix:
+        dtype: [fp32]
+        model: [dl3, mv3, mv2, ic4, ic3, vit]
+      fail-fast: false
+    with:
+      runner: linux.2xlarge
+      docker-image: executorch-ubuntu-22.04-clang12-android
+      submodules: 'true'
+      ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
+      timeout: 900
+      script: |
+        # The generic Linux job chooses to use base env, not the one setup by the image
+        CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
+        conda activate "${CONDA_ENV}"
+        PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh cmake
+        PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
+        PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh
+        PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh ${{ matrix.model }} "cmake" "qnn"
+
+  test-coreml-model:
+    name: test-coreml-model
+    uses: pytorch/test-infra/.github/workflows/macos_job.yml@main
+    strategy:
+      fail-fast: false
+    with:
+      runner: macos-m1-stable
+      python-version: '3.11'
+      submodules: 'true'
+      ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
+      timeout: 90
+      script: |
+        BUILD_TOOL=cmake
+        BACKEND=coreml
+
+        bash .ci/scripts/setup-conda.sh
+
+        # Setup MacOS dependencies as there is no Docker support on MacOS atm
+        PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh "${BUILD_TOOL}"
+        PYTHON_EXECUTABLE=python ${CONDA_RUN} bash backends/apple/coreml/scripts/install_requirements.sh
+        echo "Finishing installing coreml."
+
+        # Build and test coreml model
+        MODELS=(mv3 ic4 resnet50 edsr mobilebert w2l)
+        for MODEL_NAME in "${MODELS[@]}"; do
+          echo "::group::Exporting coreml model: $MODEL_NAME"
+          PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"
+          echo "::endgroup::"
+        done
+
+  test-huggingface-transformers:
+    name: test-huggingface-transformers
+    uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
+    secrets: inherit
+    strategy:
+      matrix:
+        hf_model_repo: [google/gemma-2b]
+      fail-fast: false
+    with:
+      secrets-env: EXECUTORCH_HF_TOKEN
+      runner: linux.12xlarge
+      docker-image: executorch-ubuntu-22.04-clang12
+      submodules: 'true'
+      ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
+      timeout: 90
+      script: |
+        echo "::group::Set up ExecuTorch"
+        # The generic Linux job chooses to use base env, not the one setup by the image
+        CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
+        conda activate "${CONDA_ENV}"
+        PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh cmake
+
+        echo "Installing libexecutorch.a, libextension_module.so, libportable_ops_lib.a"
+        rm -rf cmake-out
+        cmake \
+            -DCMAKE_INSTALL_PREFIX=cmake-out \
+            -DCMAKE_BUILD_TYPE=Release \
+            -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
+            -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+            -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
+            -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
+            -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
+            -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
+            -DEXECUTORCH_BUILD_XNNPACK=ON \
+            -DPYTHON_EXECUTABLE=python \
+            -Bcmake-out .
+        cmake --build cmake-out -j9 --target install --config Release
+
+        echo "Build llama runner"
+        dir="examples/models/llama2"
+        cmake \
+            -DCMAKE_INSTALL_PREFIX=cmake-out \
+            -DCMAKE_BUILD_TYPE=Release \
+            -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
+            -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
+            -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
+            -DEXECUTORCH_BUILD_XNNPACK=ON \
+            -DPYTHON_EXECUTABLE=python \
+            -Bcmake-out/${dir} \
+            ${dir}
+        cmake --build cmake-out/${dir} -j9 --config Release
+        echo "::endgroup::"
+
+        echo "::group::Set up HuggingFace Dependencies"
+        if [ -z "$SECRET_EXECUTORCH_HF_TOKEN" ]; then
+          echo "::error::SECRET_EXECUTORCH_HF_TOKEN is empty. For security reason secrets won't be accessible on forked PRs. Please make sure you submit a non-forked PR."
+          exit 1
+        fi
+        pip install -U "huggingface_hub[cli]"
+        huggingface-cli login --token $SECRET_EXECUTORCH_HF_TOKEN
+        pip install accelerate sentencepiece
+        # TODO(guangyang): Switch to use released transformers library after all required patches are included
+        pip install "git+https://github.com/huggingface/transformers.git@6cc4dfe3f1e8d421c6d6351388e06e9b123cbfe1"
+        pip list
+        echo "::endgroup::"
+
+        echo "::group::Export to ExecuTorch"
+        TOKENIZER_FILE=tokenizer.model
+        TOKENIZER_BIN_FILE=tokenizer.bin
+        ET_MODEL_NAME=et_model
+        # Fetch the file using a Python one-liner
+        DOWNLOADED_TOKENIZER_FILE_PATH=$(python -c "
+        from huggingface_hub import hf_hub_download
+        # Download the file from the Hugging Face Hub
+        downloaded_path = hf_hub_download(
+            repo_id='${{ matrix.hf_model_repo }}',
+            filename='${TOKENIZER_FILE}'
+        )
+        print(downloaded_path)
+        ")
+        if [ -f "$DOWNLOADED_TOKENIZER_FILE_PATH" ]; then
+            echo "${TOKENIZER_FILE} downloaded successfully at: $DOWNLOADED_TOKENIZER_FILE_PATH"
+            python -m extension.llm.tokenizer.tokenizer -t $DOWNLOADED_TOKENIZER_FILE_PATH -o ./${TOKENIZER_BIN_FILE}
+            ls ./tokenizer.bin
+        else
+            echo "Failed to download ${TOKENIZER_FILE} from ${{ matrix.hf_model_repo }}."
+            exit 1
+        fi
+
+        python -m extension.export_util.export_hf_model -hfm=${{ matrix.hf_model_repo }} -o ${ET_MODEL_NAME}
+
+        cmake-out/examples/models/llama2/llama_main --model_path=${ET_MODEL_NAME}.pte --tokenizer_path=${TOKENIZER_BIN_FILE} --prompt="My name is"
+        echo "::endgroup::"
diff --git a/.github/workflows/update-viablestrict.yml b/.github/workflows/update-viablestrict.yml
index 189a5cf3aa..dd5fb7bc2e 100644
--- a/.github/workflows/update-viablestrict.yml
+++ b/.github/workflows/update-viablestrict.yml
@@ -20,6 +20,6 @@ jobs:
         with:
           repository: pytorch/executorch
           stable-branch: viable/strict
-          requires: '[\"pull\", \"lint\", \"trunk\", \"Build documentation\", \"Android\", \"Apple\"]'
+          requires: '[\"pull\", \"lint\", \"trunk\", \"Build documentation\", \"^Android$\", \"^Apple$\"]'
           secret-bot-token: ${{ secrets.UPDATEBOT_TOKEN }}
           rockset-api-key: ${{ secrets.ROCKSET_API_KEY }}
diff --git a/.github/workflows/upload-android-test-specs.yml b/.github/workflows/upload-android-test-specs.yml
new file mode 100644
index 0000000000..e9b1054080
--- /dev/null
+++ b/.github/workflows/upload-android-test-specs.yml
@@ -0,0 +1,94 @@
+name: Upload AWS Device Farm Android test specs
+
+on:
+  pull_request:
+    paths:
+      - .github/workflows/upload-android-test-specs.yml
+      - extension/android/benchmark/android-llm-device-farm-test-spec.yml
+  push:
+    branches:
+      - main
+    paths:
+      - .github/workflows/upload-android-test-specs.yml
+      - extension/android/benchmark/android-llm-device-farm-test-spec.yml
+
+concurrency:
+  # NB: This concurency group needs to be different than the one used in android-perf, otherwise
+  # GH complains about concurrency deadlock
+  group: android-spec-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }}
+  cancel-in-progress: true
+
+jobs:
+  upload-android-test-spec-for-validation:
+    runs-on: linux.2xlarge
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Upload the spec as a GitHub artifact for validation
+        uses: seemethere/upload-artifact-s3@v5
+        with:
+          s3-bucket: gha-artifacts
+          s3-prefix: |
+            ${{ github.repository }}/${{ github.run_id }}/artifacts
+          retention-days: 1
+          if-no-files-found: error
+          path: extension/android/benchmark/android-llm-device-farm-test-spec.yml
+
+  validate-android-test-spec:
+    needs: upload-android-test-spec-for-validation
+    uses: ./.github/workflows/android-perf.yml
+    permissions:
+      id-token: write
+      contents: read
+    with:
+      # Just use a small model here with a minimal amount of configuration to test the spec
+      models: stories110M
+      devices: samsung_galaxy_s22
+      delegates: xnnpack
+      test_spec: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifacts/android-llm-device-farm-test-spec.yml
+
+  upload-android-test-spec:
+    needs: validate-android-test-spec
+    runs-on: ubuntu-22.04
+    timeout-minutes: 15
+    permissions:
+      id-token: write
+      contents: read
+    steps:
+      - uses: actions/checkout@v3
+
+      - uses: actions/setup-python@v4
+        with:
+          python-version: '3.11'
+          cache: pip
+
+      - name: configure aws credentials
+        uses: aws-actions/configure-aws-credentials@v1.7.0
+        with:
+          role-to-assume: arn:aws:iam::308535385114:role/gha_executorch_upload-frameworks-android
+          aws-region: us-east-1
+
+      - name: Only push to S3 when running the workflow manually from main branch
+        if: ${{ github.ref == 'refs/heads/main' }}
+        shell: bash
+        run: |
+          set -eux
+          echo "UPLOAD_ON_MAIN=1" >> "${GITHUB_ENV}"
+
+      - name: Upload the spec to S3 ossci-android bucket
+        shell: bash
+        working-directory: extension/android/benchmark/
+        env:
+          SPEC_FILE: android-llm-device-farm-test-spec.yml
+        run: |
+          set -eux
+
+          pip install awscli==1.32.18
+
+          AWS_CMD="aws s3 cp --dryrun"
+          if [[ "${UPLOAD_ON_MAIN:-0}" == "1" ]]; then
+            AWS_CMD="aws s3 cp"
+          fi
+
+          shasum -a 256 "${SPEC_FILE}"
+          ${AWS_CMD} "${SPEC_FILE}" s3://ossci-android/executorch/ --acl public-read
diff --git a/.github/workflows/upload-apple-test-specs.yml b/.github/workflows/upload-apple-test-specs.yml
new file mode 100644
index 0000000000..06d20ef2be
--- /dev/null
+++ b/.github/workflows/upload-apple-test-specs.yml
@@ -0,0 +1,95 @@
+name: Upload AWS Device Farm Apple iOS test specs
+
+on:
+  pull_request:
+    paths:
+      - .github/workflows/upload-apple-test-specs.yml
+      - examples/demo-apps/apple_ios/default-ios-device-farm-appium-test-spec.yml
+  push:
+    branches:
+      - main
+    paths:
+      - .github/workflows/upload-apple-test-specs.yml
+      - examples/demo-apps/apple_ios/default-ios-device-farm-appium-test-spec.yml
+
+concurrency:
+  # NB: This concurency group needs to be different than the one used in apple-perf, otherwise
+  # GH complains about concurrency deadlock
+  group: apple-spec-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }}
+  cancel-in-progress: true
+
+jobs:
+  upload-apple-test-spec-for-validation:
+    runs-on: linux.2xlarge
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Upload the spec as a GitHub artifact for validation
+        uses: seemethere/upload-artifact-s3@v5
+        with:
+          s3-bucket: gha-artifacts
+          s3-prefix: |
+            ${{ github.repository }}/${{ github.run_id }}/artifacts
+          retention-days: 1
+          if-no-files-found: error
+          path: examples/demo-apps/apple_ios/default-ios-device-farm-appium-test-spec.yml
+
+  validate-apple-test-spec:
+    needs: upload-apple-test-spec-for-validation
+    uses: ./.github/workflows/apple-perf.yml
+    secrets: inherit
+    permissions:
+      id-token: write
+      contents: read
+    with:
+      # Just use a small model here with a minimal amount of configuration to test the spec
+      models: stories110M
+      devices: apple_iphone_15
+      delegates: xnnpack
+      test_spec: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifacts/default-ios-device-farm-appium-test-spec.yml
+
+  upload-apple-test-spec:
+    needs: validate-apple-test-spec
+    runs-on: ubuntu-22.04
+    timeout-minutes: 15
+    permissions:
+      id-token: write
+      contents: read
+    steps:
+      - uses: actions/checkout@v3
+
+      - uses: actions/setup-python@v4
+        with:
+          python-version: '3.11'
+          cache: pip
+
+      - name: configure aws credentials
+        uses: aws-actions/configure-aws-credentials@v1.7.0
+        with:
+          role-to-assume: arn:aws:iam::308535385114:role/gha_executorch_upload-frameworks-ios
+          aws-region: us-east-1
+
+      - name: Only push to S3 when running the workflow manually from main branch
+        if: ${{ github.ref == 'refs/heads/main' }}
+        shell: bash
+        run: |
+          set -eux
+          echo "UPLOAD_ON_MAIN=1" >> "${GITHUB_ENV}"
+
+      - name: Upload the spec to S3 ossci-ios bucket
+        shell: bash
+        working-directory: examples/demo-apps/apple_ios
+        env:
+          SPEC_FILE: default-ios-device-farm-appium-test-spec.yml
+        run: |
+          set -eux
+
+          pip install awscli==1.32.18
+
+          AWS_CMD="aws s3 cp --dryrun"
+          if [[ "${UPLOAD_ON_MAIN:-0}" == "1" ]]; then
+            AWS_CMD="aws s3 cp"
+          fi
+
+          shasum -a 256 "${SPEC_FILE}"
+          ${AWS_CMD} "${SPEC_FILE}" s3://ossci-ios/executorch/ --acl public-read
diff --git a/.gitignore b/.gitignore
index d766479b11..bd3528a4c4 100644
--- a/.gitignore
+++ b/.gitignore
@@ -35,3 +35,4 @@ __pycache__/
 *.swp
 *~
 .~lock.*
+*.idea
diff --git a/.gitmodules b/.gitmodules
index 33324b17e2..71ff854bb0 100644
--- a/.gitmodules
+++ b/.gitmodules
@@ -21,16 +21,13 @@
 	url = https://github.com/Maratyszcza/FXdiv.git
 [submodule "backends/xnnpack/third-party/XNNPACK"]
 	path = backends/xnnpack/third-party/XNNPACK
-	url = https://github.com/digantdesai/XNNPACK.git
+	url = https://github.com/google/XNNPACK.git
 [submodule "backends/xnnpack/third-party/cpuinfo"]
 	path = backends/xnnpack/third-party/cpuinfo
 	url = https://github.com/pytorch/cpuinfo.git
 [submodule "backends/xnnpack/third-party/pthreadpool"]
 	path = backends/xnnpack/third-party/pthreadpool
 	url = https://github.com/Maratyszcza/pthreadpool.git
-[submodule "examples/third-party/LLaVA"]
-	path = examples/third-party/LLaVA
-	url = https://github.com/haotian-liu/LLaVA.git
 [submodule "examples/third-party/fbjni"]
 	path = examples/third-party/fbjni
 	url = https://github.com/facebookincubator/fbjni.git
diff --git a/.lintrunner.toml b/.lintrunner.toml
index c28512c598..7aa15d6563 100644
--- a/.lintrunner.toml
+++ b/.lintrunner.toml
@@ -74,6 +74,9 @@ exclude_patterns = [
     # NB: Objective-C is not supported
     'examples/apple/**',
     'examples/demo-apps/apple_ios/**',
+    # File contains @generated
+    'extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h',
+    'extension/llm/custom_ops/spinquant/test/fast_hadamard_transform_special_unstrided_cpu.h',
 ]
 command = [
     'python',
@@ -177,6 +180,9 @@ exclude_patterns = [
     '**/*.bat',
     '**/*.jpg',
     '**/*.jar',
+    # File contains @generated
+    'extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h',
+    'extension/llm/custom_ops/spinquant/test/fast_hadamard_transform_special_unstrided_cpu.h',
 ]
 command = [
     'python',
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 897fdefd14..1fd1ce7e6c 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -130,6 +130,12 @@ if(EXECUTORCH_ENABLE_EVENT_TRACER)
   add_definitions(-DET_EVENT_TRACER_ENABLED)
 endif()
 
+option(EXECUTORCH_DO_NOT_USE_CXX11_ABI "Define _GLIBCXX_USE_CXX11_ABI=0 if ON"
+       OFF
+)
+if(EXECUTORCH_DO_NOT_USE_CXX11_ABI)
+  add_definitions(-D_GLIBCXX_USE_CXX11_ABI=0)
+endif()
 # -ffunction-sections -fdata-sections: breaks function and data into sections so
 # they can be properly gc'd. -s: strip symbol. -fno-exceptions -fno-rtti:
 # disables exceptions and runtime type.
@@ -175,10 +181,16 @@ option(EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL "Build the Runner Util extension"
        OFF
 )
 
+option(EXECUTORCH_BUILD_EXTENSION_TENSOR "Build the Tensor extension" OFF)
+
+option(EXECUTORCH_BUILD_EXTENSION_TRAINING "Build the training extension" OFF)
+
 option(EXECUTORCH_BUILD_GTESTS "Build googletest based test binaries" OFF)
 
 option(EXECUTORCH_BUILD_MPS "Build the MPS backend" OFF)
 
+option(EXECUTORCH_BUILD_NEURON "Build the backends/mediatek directory" OFF)
+
 option(EXECUTORCH_BUILD_PYBIND "Build the Python Bindings" OFF)
 
 option(EXECUTORCH_BUILD_QNN "Build the Qualcomm backend" OFF)
@@ -187,7 +199,7 @@ option(EXECUTORCH_BUILD_KERNELS_OPTIMIZED "Build the optimized kernels" OFF)
 
 option(EXECUTORCH_BUILD_KERNELS_QUANTIZED "Build the quantized kernels" OFF)
 
-option(EXECUTORCH_BUILD_SDK "Build the ExecuTorch SDK")
+option(EXECUTORCH_BUILD_DEVTOOLS "Build the ExecuTorch Developer Tools")
 
 option(EXECUTORCH_BUILD_SIZE_TEST "Build the size test" OFF)
 
@@ -218,6 +230,7 @@ cmake_dependent_option(
 )
 
 if(EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT)
+  set(EXECUTORCH_BUILD_EXTENSION_TENSOR ON)
   set(EXECUTORCH_BUILD_KERNELS_CUSTOM ON)
 endif()
 
@@ -497,7 +510,8 @@ if(EXECUTORCH_BUILD_PYBIND AND APPLE)
   )
   target_link_libraries(executorch_no_prim_ops_shared PRIVATE program_schema)
   if(DL_LIBRARY_EXISTS)
-    target_link_libraries(executorch_no_prim_ops_shared PRIVATE dl) # For dladdr()
+    # For dladdr()
+    target_link_libraries(executorch_no_prim_ops_shared PRIVATE dl)
   endif()
   target_include_directories(
     executorch_no_prim_ops_shared PUBLIC ${_common_include_directories}
@@ -533,17 +547,13 @@ target_link_options_shared_lib(executorch)
 # operators necessary for the models that will run.
 #
 if(BUILD_EXECUTORCH_PORTABLE_OPS)
-add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/kernels/portable)
+  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/kernels/portable)
 endif()
 
 if(EXECUTORCH_BUILD_KERNELS_OPTIMIZED)
   add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/kernels/optimized)
 endif()
 
-if(EXECUTORCH_BUILD_KERNELS_QUANTIZED)
-  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/kernels/quantized)
-endif()
-
 add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/configurations)
 
 #
@@ -574,42 +584,46 @@ cmake_dependent_option(
   EXECUTORCH_BUILD_EXECUTOR_RUNNER "Build the executor_runner executable" ON
   EXECUTORCH_BUILD_HOST_TARGETS OFF
 )
-if(EXECUTORCH_BUILD_EXECUTOR_RUNNER)
-  # Baseline libraries that executor_runner will link against.
-  set(_executor_runner_libs executorch gflags)
 
-  if(EXECUTORCH_BUILD_KERNELS_OPTIMIZED)
-    list(APPEND _executor_runner_libs optimized_native_cpu_ops_lib)
-  elseif(EXECUTORCH_BUILD_CADENCE)
-    list(APPEND _executor_runner_libs cadence_ops_lib)
-  else()
-    list(APPEND _executor_runner_libs portable_ops_lib)
-  endif()
+# Add googletest if any test targets should be built
+if(EXECUTORCH_BUILD_GTESTS)
+  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/third-party/googletest)
+endif()
 
-  # Generate lib to register quantized ops
-  if(EXECUTORCH_BUILD_KERNELS_QUANTIZED)
-    list(APPEND _executor_runner_libs quantized_ops_lib)
-  endif()
+if(EXECUTORCH_BUILD_ARM_BAREMETAL)
+  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/backends/arm)
+endif()
 
-  add_executable(executor_runner ${_executor_runner__srcs})
-  if(CMAKE_BUILD_TYPE STREQUAL "Release" AND NOT APPLE)
-    target_link_options(executor_runner PRIVATE "LINKER:--gc-sections")
-  endif()
-  target_link_libraries(executor_runner ${_executor_runner_libs})
-  target_compile_options(executor_runner PUBLIC ${_common_compile_options})
+if(EXECUTORCH_BUILD_CADENCE)
+  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/backends/cadence)
 endif()
 
-# Add googletest if any test targets should be built
-if(EXECUTORCH_BUILD_GTESTS)
-  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/third-party/googletest)
+if(EXECUTORCH_BUILD_COREML)
+  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/backends/apple/coreml)
+endif()
+
+if(EXECUTORCH_BUILD_MPS)
+  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/backends/apple/mps)
 endif()
 
-if(EXECUTORCH_BUILD_SDK)
+if(EXECUTORCH_BUILD_NEURON)
+  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/backends/mediatek)
+endif()
+
+if(EXECUTORCH_BUILD_QNN)
+  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/backends/qualcomm)
+endif()
+
+if(EXECUTORCH_BUILD_XNNPACK)
+  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/backends/xnnpack)
+endif()
+
+if(EXECUTORCH_BUILD_DEVTOOLS)
   set(EXECUTORCH_BUILD_EXTENSION_DATA_LOADER
       ON
       CACHE BOOL "EXECUTORCH_BUILD_EXTENSION_DATA_LOADER" FORCE
   )
-  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/sdk)
+  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/devtools)
 endif()
 
 if(EXECUTORCH_BUILD_EXTENSION_APPLE)
@@ -624,36 +638,23 @@ if(EXECUTORCH_BUILD_EXTENSION_MODULE)
   add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/extension/module)
 endif()
 
-if(EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL)
-  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/extension/runner_util)
-endif()
-
-if(EXECUTORCH_BUILD_XNNPACK)
-  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/backends/xnnpack)
-endif()
-
-if(EXECUTORCH_BUILD_VULKAN)
-  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/backends/vulkan)
+if(EXECUTORCH_BUILD_EXTENSION_TRAINING)
+  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/extension/training)
 endif()
 
-if(EXECUTORCH_BUILD_QNN)
-  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/backends/qualcomm)
-endif()
-
-if(EXECUTORCH_BUILD_ARM_BAREMETAL)
-  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/backends/arm)
-endif()
-
-if(EXECUTORCH_BUILD_MPS)
-  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/backends/apple/mps)
+if(EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL)
+  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/extension/runner_util)
 endif()
 
-if(EXECUTORCH_BUILD_COREML)
-  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/backends/apple/coreml)
+if(EXECUTORCH_BUILD_EXTENSION_TENSOR)
+  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/extension/tensor)
 endif()
 
-if(EXECUTORCH_BUILD_CADENCE)
-   add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/backends/cadence)
+if(EXECUTORCH_BUILD_PTHREADPOOL
+   AND EXECUTORCH_BUILD_CPUINFO
+   AND CMAKE_CXX_STANDARD GREATER_EQUAL 14
+)
+  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/extension/threadpool)
 endif()
 
 if(EXECUTORCH_BUILD_PYBIND)
@@ -663,8 +664,8 @@ if(EXECUTORCH_BUILD_PYBIND)
     add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/extension/data_loader)
   endif()
 
-  if(NOT EXECUTORCH_BUILD_SDK)
-    add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/sdk)
+  if(NOT EXECUTORCH_BUILD_DEVTOOLS)
+    add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/devtools)
   endif()
 
   # find pytorch lib, to allow pybind to take at::Tensor as input/output
@@ -680,7 +681,6 @@ if(EXECUTORCH_BUILD_PYBIND)
       executorch
       extension_data_loader
       portable_ops_lib
-      quantized_ops_aot_lib
       util
       torch
   )
@@ -699,11 +699,6 @@ if(EXECUTORCH_BUILD_PYBIND)
     list(APPEND _dep_libs xnnpack_backend XNNPACK)
   endif()
 
-  if(EXECUTORCH_BUILD_KERNELS_QUANTIZED)
-    target_link_options_shared_lib(quantized_ops_lib)
-    list(APPEND _dep_libs quantized_kernels quantized_ops_lib)
-  endif()
-
   # compile options for pybind
   set(_pybind_compile_options
       -Wno-deprecated-declarations
@@ -716,10 +711,8 @@ if(EXECUTORCH_BUILD_PYBIND)
   )
   # util lib
   add_library(
-    util
-    ${CMAKE_CURRENT_SOURCE_DIR}/extension/evalue_util/print_evalue.cpp
-    ${CMAKE_CURRENT_SOURCE_DIR}/extension/aten_util/aten_bridge.cpp
-    ${CMAKE_CURRENT_SOURCE_DIR}/util/read_file.cpp
+    util ${CMAKE_CURRENT_SOURCE_DIR}/extension/evalue_util/print_evalue.cpp
+         ${CMAKE_CURRENT_SOURCE_DIR}/extension/aten_util/aten_bridge.cpp
   )
   target_include_directories(
     util PUBLIC ${_common_include_directories} ${TORCH_INCLUDE_DIRS}
@@ -755,6 +748,27 @@ if(EXECUTORCH_BUILD_PYBIND)
                  # the torch libs are in `site-packages/torch/lib`.
                  BUILD_RPATH "@loader_path/../../../torch/lib"
                  INSTALL_RPATH "@loader_path/../../../torch/lib"
+                 # Assume <executorch> is the root `site-packages/executorch`
+                 # Need to add <executorch>/extension/llm/custom_ops for
+                 # libcustom_ops_aot_lib.dylib
+                 BUILD_RPATH "@loader_path/../../extension/llm/custom_ops"
+                 INSTALL_RPATH "@loader_path/../../extension/llm/custom_ops"
+                 # Need to add <executorch>/kernels/quantized for
+                 # libquantized_ops_aot_lib.dylib
+                 BUILD_RPATH "@loader_path/../../kernels/quantized"
+                 INSTALL_RPATH "@loader_path/../../kernels/quantized"
+    )
+  else()
+    set_target_properties(
+      portable_lib
+      PROPERTIES
+        # Assume <executorch> is the root `site-packages/executorch`
+        # Need to add <executorch>/extension/llm/custom_ops for
+        # libcustom_ops_aot_lib
+        # Need to add <executorch>/kernels/quantized for
+        # libquantized_ops_aot_lib
+        BUILD_RPATH
+        "$ORIGIN:$ORIGIN/../../extension/llm/custom_ops:$ORIGIN/../../kernels/quantized"
     )
   endif()
 
@@ -765,9 +779,45 @@ endif()
 
 if(EXECUTORCH_BUILD_KERNELS_CUSTOM)
   # TODO: move all custom kernels to ${CMAKE_CURRENT_SOURCE_DIR}/kernels/custom
-  add_subdirectory(
-    ${CMAKE_CURRENT_SOURCE_DIR}/examples/models/llama2/custom_ops
-  )
+  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/extension/llm/custom_ops)
+endif()
+
+if(EXECUTORCH_BUILD_KERNELS_QUANTIZED)
+  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/kernels/quantized)
+  target_link_options_shared_lib(quantized_ops_lib)
+endif()
+
+if(EXECUTORCH_BUILD_EXECUTOR_RUNNER)
+  # Baseline libraries that executor_runner will link against.
+  set(_executor_runner_libs executorch gflags)
+
+  if(EXECUTORCH_BUILD_KERNELS_OPTIMIZED)
+    list(APPEND _executor_runner_libs optimized_native_cpu_ops_lib)
+  elseif(EXECUTORCH_BUILD_CADENCE)
+    list(APPEND _executor_runner_libs cadence_ops_lib)
+  else()
+    list(APPEND _executor_runner_libs portable_ops_lib)
+  endif()
+
+  # Generate lib to register quantized ops
+  if(EXECUTORCH_BUILD_KERNELS_QUANTIZED)
+    list(APPEND _executor_runner_libs quantized_ops_lib)
+  endif()
+
+  add_executable(executor_runner ${_executor_runner__srcs})
+  if(CMAKE_BUILD_TYPE STREQUAL "Release")
+    if(APPLE)
+      target_link_options(executor_runner PRIVATE "LINKER:-dead_strip")
+    else()
+      target_link_options(executor_runner PRIVATE "LINKER:--gc-sections")
+    endif()
+  endif()
+  target_link_libraries(executor_runner ${_executor_runner_libs})
+  target_compile_options(executor_runner PUBLIC ${_common_compile_options})
+endif()
+
+if(EXECUTORCH_BUILD_VULKAN)
+  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/backends/vulkan)
 endif()
 
 # Print all summary
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index a0c37e3b3c..d434c1fe19 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -23,6 +23,8 @@ We actively welcome your pull requests (PRs).
    See the [testing section](#testing) for more information.
 1. If you've changed APIs or added a new tool or feature, [update the
    documentation](#updating-documentation).
+1. If you added an experimental API or deprecated an existing API, follow the
+   [API Life Cycle and Deprecation Policy](/docs/source/api-life-cycle.md).
 1. Make sure your code follows the [style guides](#coding-style) and passes the
    [lint checks](#lintrunner).
 1. If you haven't already, complete the [Contributor License Agreement ("CLA")](#contributor-license-agreement-cla).
@@ -129,9 +131,7 @@ for detailed advice.
 
 #### C++ language version
 
-**C++11.**
-
-NOTE: The code does not yet fully conform to this, and some files require C++17.
+**C++17.**
 
 Rationale: This is a compromise between being compatible with older, proprietary
 toolchains, and having access to relatively modern C++ features.
diff --git a/LICENSE b/LICENSE
index 10b13cbfe7..6c1f7a760a 100644
--- a/LICENSE
+++ b/LICENSE
@@ -6,6 +6,7 @@ Copyright (c) Meta Platforms, Inc. and affiliates.
 Copyright 2023 Arm Limited and/or its affiliates.
 Copyright (c) Qualcomm Innovation Center, Inc.
 Copyright (c) 2023 Apple Inc.
+Copyright (c) 2024 MediaTek Inc.
 
 Redistribution and use in source and binary forms, with or without modification,
 are permitted provided that the following conditions are met:
diff --git a/README.md b/README.md
index c4e6e0caf7..0e78f4da35 100644
--- a/README.md
+++ b/README.md
@@ -10,9 +10,9 @@ Key value propositions of ExecuTorch are:
 - **Portability:** Compatibility with a wide variety of computing platforms,
   from high-end mobile phones to highly constrained embedded systems and
   microcontrollers.
-- **Productivity:** Enabling developers to use the same toolchains and SDK from
-  PyTorch model authoring and conversion, to debugging and deployment to a wide
-  variety of platforms.
+- **Productivity:** Enabling developers to use the same toolchains and Developer
+  Tools from PyTorch model authoring and conversion, to debugging and deployment
+  to a wide variety of platforms.
 - **Performance:** Providing end users with a seamless and high-performance
   experience due to a lightweight runtime and utilizing full hardware
   capabilities such as CPUs, NPUs, and DSPs.
@@ -22,6 +22,8 @@ please visit our documentation website [for the latest release](https://pytorch.
 
 Check out the [Getting Started](https://pytorch.org/executorch/stable/getting-started-setup.html#quick-setup-colab-jupyter-notebook-prototype) page for a quick spin.
 
+Check out the examples of [Llama](./examples/models/llama2/README.md), [Llava](./examples/models/llava/README.md) and [other models](./examples/README.md) running on edge devices using ExecuTorch.
+
 ## Feedback
 
 We welcome any feedback, suggestions, and bug reports from the community to help
@@ -93,7 +95,7 @@ tools.
 ├── schema                          #  ExecuTorch PTE file format flatbuffer
 schemas.
 ├── scripts                         #  Utility scripts for size management, dependency management, etc.
-├── sdk                             #  Model profiling, debugging, and introspection.
+├── devtools                        #  Model profiling, debugging, and introspection.
 ├── shim                            #  Compatibility layer between OSS and Internal builds
 ├── test                            #  Broad scoped end-to-end tests.
 ├── third-party                     #  Third-party dependencies.
diff --git a/backends/apple/coreml/CMakeLists.txt b/backends/apple/coreml/CMakeLists.txt
index d670b60e6c..27e09b3f58 100644
--- a/backends/apple/coreml/CMakeLists.txt
+++ b/backends/apple/coreml/CMakeLists.txt
@@ -13,6 +13,11 @@ if(NOT EXECUTORCH_ROOT)
   set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../../..)
 endif()
 
+if(EXECUTORCH_BUILD_DEVTOOLS)
+  # protobuf requires frtti
+  set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -frtti")
+endif()
+
 option(COREML_BUILD_EXECUTOR_RUNNER "Build CoreML executor runner." OFF)
 
 # inmemoryfs sources
@@ -59,6 +64,7 @@ set(SDK_SOURCES
     runtime/sdk/ETCoreMLModelAnalyzer.mm
     runtime/sdk/ETCoreMLModelStructurePath.mm
     runtime/sdk/ETCoreMLOperationProfilingInfo.mm
+    runtime/sdk/ETCoreMLModelDebugInfo.mm
     runtime/sdk/ETCoreMLModelDebugger.mm
     runtime/sdk/ETCoreMLModelProfiler.mm
     runtime/sdk/ETCoreMLPair.mm
@@ -130,7 +136,7 @@ target_include_directories(
 target_include_directories(coremldelegate PRIVATE ${EXECUTORCH_ROOT}/..)
 target_link_libraries(coremldelegate PRIVATE executorch_no_prim_ops)
 
-if(EXECUTORCH_BUILD_SDK)
+if(EXECUTORCH_BUILD_DEVTOOLS)
   target_sources(coremldelegate PRIVATE ${SDK_SOURCES} ${PROTOBUF_SOURCES})
   target_include_directories(
     coremldelegate
@@ -141,6 +147,8 @@ if(EXECUTORCH_BUILD_SDK)
   add_subdirectory(
     ${CMAKE_CURRENT_SOURCE_DIR}/third-party/coremltools/deps/protobuf/cmake
   )
+
+  target_link_options_shared_lib(libprotobuf-lite)
   target_link_libraries(coremldelegate PRIVATE libprotobuf-lite)
 endif()
 
@@ -166,7 +174,7 @@ endif()
 target_compile_options(coremldelegate PRIVATE "-fobjc-arc")
 target_compile_options(coremldelegate PRIVATE "-fno-exceptions")
 
-if(EXECUTORCH_BUILD_SDK)
+if(EXECUTORCH_BUILD_DEVTOOLS)
   target_compile_options(
     executorch_no_prim_ops PUBLIC -DET_EVENT_TRACER_ENABLED
   )
diff --git a/backends/apple/coreml/compiler/coreml_preprocess.py b/backends/apple/coreml/compiler/coreml_preprocess.py
index 375fdf406b..5084405c46 100644
--- a/backends/apple/coreml/compiler/coreml_preprocess.py
+++ b/backends/apple/coreml/compiler/coreml_preprocess.py
@@ -3,6 +3,7 @@
 # CoreML backend for delegating a EdgeProgram to CoreML.
 
 import json
+import logging
 
 import shutil
 import uuid
@@ -14,6 +15,7 @@
 from typing import Any, Dict, final, List, Optional, Tuple
 
 import coremltools as ct
+import coremltools.optimize as cto
 import executorchcoreml
 
 from executorch.exir.backend.backend_details import (
@@ -23,12 +25,16 @@
 )
 from executorch.exir.backend.compile_spec_schema import CompileSpec
 
+logger = logging.getLogger(__name__)
+logger.setLevel(logging.WARNING)
+
 
 class COMPILE_SPEC_KEYS(Enum):
     COMPUTE_UNITS = "compute_units"
     MODEL_TYPE = "model_type"
     MIN_DEPLOYMENT_TARGET = "min_deployment_target"
     MODEL_COMPUTE_PRECISION = "model_compute_precision"
+    OP_LINEAR_QUANTIZER_CONFIG = "op_linear_quantizer_config"
 
 
 class MODEL_PATHS(Enum):
@@ -169,12 +175,44 @@ def generate_compute_unit_compile_spec(
             compute_unit.name.lower().encode("utf-8"),
         )
 
+    @staticmethod
+    def generate_op_linear_quantizer_config_compile_spec(
+        op_linear_quantizer_config: Dict,
+    ) -> CompileSpec:
+        """
+        Returns the compile spec representing the model post conversion quantization,
+        which is a dict that will construct cto.coreml.OpLinearQuantizerConfig
+        """
+        str_representation = json.dumps(op_linear_quantizer_config)
+        byte_representation = str_representation.encode("utf-8")
+        return CompileSpec(
+            COMPILE_SPEC_KEYS.OP_LINEAR_QUANTIZER_CONFIG.value,
+            byte_representation,
+        )
+
+    @staticmethod
+    def op_linear_quantizer_config_from_compile_specs(
+        compile_specs: List[CompileSpec],
+    ) -> cto.coreml.OpLinearQuantizerConfig:
+        """
+        Returns the model's post conversion quantization by parsing the list of compile specs.
+        """
+        for compile_spec in compile_specs:
+            if compile_spec.key == COMPILE_SPEC_KEYS.OP_LINEAR_QUANTIZER_CONFIG.value:
+                config_dict_str = compile_spec.value.decode("utf-8")
+                config_dict = json.loads(config_dict_str)
+                config = cto.coreml.OpLinearQuantizerConfig._from_dict(config_dict)
+                return config
+
+        return None
+
     @staticmethod
     def generate_compile_specs(
         compute_unit: ct.ComputeUnit = ct.ComputeUnit.ALL,
         minimum_deployment_target: ct.target = ct.target.iOS15,
         compute_precision: ct.precision = ct.precision.FLOAT16,
         model_type: MODEL_TYPE = MODEL_TYPE.MODEL,
+        op_linear_quantizer_config: Optional[Dict] = None,
     ) -> List[CompileSpec]:
         """
         Returns the list of compile specs that's used by CoreMLBackend to lower the module.
@@ -192,6 +230,12 @@ def generate_compile_specs(
             CoreMLBackend.generate_compute_precision_compile_spec(compute_precision)
         )
         compile_specs.append(CoreMLBackend.generate_model_type_compile_spec(model_type))
+        if op_linear_quantizer_config is not None:
+            compile_specs.append(
+                CoreMLBackend.generate_op_linear_quantizer_config_compile_spec(
+                    op_linear_quantizer_config
+                )
+            )
 
         return compile_specs
 
@@ -368,18 +412,18 @@ def preprocess(
                 compile_specs,
             )
         )
-
         model_compute_precision: ct.precision = (
             CoreMLBackend.model_compute_precision_from_compile_specs(compile_specs)
         )
-
         minimum_deployment_target: ct.target = (
             CoreMLBackend.min_deployment_target_from_compile_specs(compile_specs)
         )
-
         compute_units: ct.ComputeUnit = CoreMLBackend.compute_unit_from_compile_specs(
             compile_specs
         )
+        op_linear_quantizer_config = (
+            CoreMLBackend.op_linear_quantizer_config_from_compile_specs(compile_specs)
+        )
 
         mlmodel = ct.convert(
             model=edge_program,
@@ -392,4 +436,15 @@ def preprocess(
             compute_units=compute_units,
         )
 
+        if op_linear_quantizer_config is not None:
+            logger.warning(
+                "Core ML Backend op_linear_quantizer_config API is experimental"
+            )
+            config = cto.coreml.OptimizationConfig(
+                global_config=op_linear_quantizer_config,
+                # skip embedding
+                op_type_configs={"gather": None},
+            )
+            mlmodel = cto.coreml.linear_quantize_weights(mlmodel, config=config)
+
         return CoreMLBackend.preprocess_model(mlmodel, model_type=model_type)
diff --git a/backends/apple/coreml/partition/coreml_partitioner.py b/backends/apple/coreml/partition/coreml_partitioner.py
index ecf6d44b19..c0b6663f72 100644
--- a/backends/apple/coreml/partition/coreml_partitioner.py
+++ b/backends/apple/coreml/partition/coreml_partitioner.py
@@ -17,7 +17,7 @@
     Partitioner,
     PartitionResult,
 )
-from executorch.exir.backend.utils import tag_constant_data
+from executorch.exir.backend.utils import tag_constant_data, tag_mutated_buffer
 from torch.export.exported_program import ExportedProgram
 from torch.fx.passes.infra.partitioner import CapabilityBasedPartitioner
 from torch.fx.passes.operator_support import OperatorSupportBase
@@ -61,6 +61,7 @@ def __init__(
         self,
         skip_ops_for_coreml_delegation: Optional[List[str]] = None,
         compile_specs: Optional[List[CompileSpec]] = None,
+        take_over_mutable_buffer: Optional[bool] = True,
     ) -> None:
         if skip_ops_for_coreml_delegation is None:
             skip_ops_for_coreml_delegation = []
@@ -69,6 +70,7 @@ def __init__(
             backend_id=CoreMLBackend.__name__,
             compile_specs=compile_specs if compile_specs is not None else [],
         )
+        self.take_over_mutable_buffer = take_over_mutable_buffer
 
     def partition(self, exported_program: ExportedProgram) -> PartitionResult:
         # Run the CapabilityBasedPartitioner to return the largest possible
@@ -89,6 +91,15 @@ def partition(self, exported_program: ExportedProgram) -> PartitionResult:
                 partition_tags[tag] = self.delegation_spec
 
         tag_constant_data(exported_program)
+        if self.take_over_mutable_buffer:
+            logger.info(
+                "Core ML partitioner will take over torch mutable buffer as Core ML state, "
+                "so if your model contains mutable buffer, "
+                "then you will need MacOS15+/iOS18+ to execute. "
+                "If you want your mutable buffer model to be compatible with older OS, "
+                "then please set `take_over_mutable_buffer=False`"
+            )
+            tag_mutated_buffer(exported_program)
 
         return PartitionResult(
             tagged_exported_program=exported_program, partition_tags=partition_tags
diff --git a/backends/apple/coreml/runtime/delegate/ETCoreMLDefaultModelExecutor.mm b/backends/apple/coreml/runtime/delegate/ETCoreMLDefaultModelExecutor.mm
index 57316e2801..226307f3c8 100644
--- a/backends/apple/coreml/runtime/delegate/ETCoreMLDefaultModelExecutor.mm
+++ b/backends/apple/coreml/runtime/delegate/ETCoreMLDefaultModelExecutor.mm
@@ -29,9 +29,10 @@ - (instancetype)initWithModel:(ETCoreMLModel *)model {
     if (self.ignoreOutputBackings) {
         predictionOptions.outputBackings = @{};
     }
-    id<MLFeatureProvider> outputs = [self.model.mlModel predictionFromFeatures:inputs
-                                                                       options:predictionOptions
-                                                                         error:error];
+
+    id<MLFeatureProvider> outputs = [self.model predictionFromFeatures:inputs
+                                                               options:predictionOptions
+                                                                 error:error];
     if (!outputs) {
         return nil;
     }
diff --git a/backends/apple/coreml/runtime/delegate/ETCoreMLModel.h b/backends/apple/coreml/runtime/delegate/ETCoreMLModel.h
index 9bf3183e65..5802659346 100644
--- a/backends/apple/coreml/runtime/delegate/ETCoreMLModel.h
+++ b/backends/apple/coreml/runtime/delegate/ETCoreMLModel.h
@@ -37,15 +37,12 @@ __attribute__((objc_subclassing_restricted))
                     orderedOutputNames:(NSOrderedSet<NSString*>*)orderedOutputNames
                                  error:(NSError* __autoreleasing*)error NS_DESIGNATED_INITIALIZER;
 
-- (nullable NSArray<MLMultiArray*>*)prepareInputs:(const std::vector<executorchcoreml::MultiArray>&)inputs
-                                            error:(NSError* __autoreleasing*)error;
-
-- (nullable NSArray<MLMultiArray*>*)prepareOutputBackings:(const std::vector<executorchcoreml::MultiArray>&)outputs
-                                                    error:(NSError* __autoreleasing*)error;
-
 /// The underlying MLModel.
 @property (strong, readonly, nonatomic) MLModel* mlModel;
 
+/// The model state.
+@property (strong, readonly, nonatomic, nullable) id state;
+
 /// The asset from which the model is loaded.
 @property (strong, readonly, nonatomic) ETCoreMLAsset* asset;
 
@@ -58,6 +55,19 @@ __attribute__((objc_subclassing_restricted))
 /// The ordered output names of the model.
 @property (copy, readonly, nonatomic) NSOrderedSet<NSString*>* orderedOutputNames;
 
+
+- (nullable id<MLFeatureProvider>)predictionFromFeatures:(id<MLFeatureProvider>)input
+                                                 options:(MLPredictionOptions*)options
+                                                   error:(NSError* __autoreleasing*)error;
+
+- (nullable NSArray<MLMultiArray*>*)prepareInputs:(const std::vector<executorchcoreml::MultiArray>&)inputs
+                                            error:(NSError* __autoreleasing*)error;
+
+- (nullable NSArray<MLMultiArray*>*)prepareOutputBackings:(const std::vector<executorchcoreml::MultiArray>&)outputs
+                                                    error:(NSError* __autoreleasing*)error;
+
+- (BOOL)prewarmAndReturnError:(NSError* __autoreleasing*)error;
+
 @end
 
 NS_ASSUME_NONNULL_END
diff --git a/backends/apple/coreml/runtime/delegate/ETCoreMLModel.mm b/backends/apple/coreml/runtime/delegate/ETCoreMLModel.mm
index ee7218bd27..6b39ae5f92 100644
--- a/backends/apple/coreml/runtime/delegate/ETCoreMLModel.mm
+++ b/backends/apple/coreml/runtime/delegate/ETCoreMLModel.mm
@@ -7,10 +7,12 @@
 
 #import <ETCoreMLModel.h>
 
-#import <ETCoreMLAsset.h>
+#import "ETCoreMLAsset.h"
+#import "ETCoreMLLogging.h"
+#import "multiarray.h"
+#import "objc_array_util.h"
+#import "MLModel_Prewarm.h"
 #import <functional>
-#import <objc_array_util.h>
-#import <multiarray.h>
 #import <numeric>
 
 #pragma mark - ETCoreMLMultiArrayDescriptor
@@ -155,6 +157,19 @@ size_t get_number_of_bytes(MLMultiArrayDataType data_type) {
     return get_multi_array_constraints_by_name(description.outputDescriptionsByName);
 }
 
+#if MODEL_STATE_IS_SUPPORTED
+API_AVAILABLE(macos(15.0), ios(18.0), tvos(18.0), watchos(11.0))
+void reset_state_for_feature_name(NSString *feature_name, MLState *state) {
+    [state getMultiArrayForStateNamed:feature_name handler:^(MLMultiArray *buffer) {
+        [buffer getMutableBytesWithHandler:^(void *mutableBytes, NSInteger size, NSArray<NSNumber *> * __unused strides) {
+            uint8_t *start = reinterpret_cast<uint8_t *>(mutableBytes);
+            uint8_t *end = start + size;
+            std::fill(start, end, uint8_t(0));
+        }];
+    }];
+}
+#endif
+
 }
 
 #pragma mark - ETCoreMLModel
@@ -194,6 +209,11 @@ - (nullable instancetype)initWithAsset:(ETCoreMLAsset *)asset
         _cache = [[NSCache alloc] init];
         _inputConstraintsByName = get_multi_array_input_constraints_by_name(mlModel.modelDescription);
         _outputConstraintsByName = get_multi_array_output_constraints_by_name(mlModel.modelDescription);
+#if MODEL_STATE_IS_SUPPORTED
+        if (@available(macOS 15.0, iOS 18.0, tvOS 18.0, watchOS 11.0, *)) {
+            _state = mlModel.modelDescription.stateDescriptionsByName.count > 0 ? [_mlModel newState] : nil;
+        }
+#endif
     }
     
     return self;
@@ -272,4 +292,52 @@ MultiArray buffer(mutableBytes, MultiArray::MemoryLayout(to_multiarray_data_type
     
 }
 
+- (nullable id<MLFeatureProvider>)predictionFromFeatures:(id<MLFeatureProvider>)input
+                                                 options:(MLPredictionOptions *)options
+                                                   error:(NSError **)error {
+#if MODEL_STATE_IS_SUPPORTED
+    if (@available(macOS 15.0, iOS 18.0, tvOS 18.0, watchOS 11.0, *)) {
+        if (self.state != nil) {
+            return [self.mlModel predictionFromFeatures:input
+                                             usingState:(MLState *)self.state
+                                                options:options
+                                                  error:error];
+        }
+    }
+#endif
+
+    id<MLFeatureProvider> result = [self.mlModel predictionFromFeatures:input
+                                                                options:options
+                                                                  error:error];
+
+    return result;
+}
+
+- (BOOL)prewarmAndReturnError:(NSError* __autoreleasing*)error {
+    NSError *localError = nil;
+    BOOL result = [self.mlModel prewarmUsingState:self.state error:error];
+    if (!result) {
+        ETCoreMLLogError(localError,
+                         "%@: Failed to prewarm model with identifier = %@",
+                         NSStringFromClass(self.class),
+                         self.identifier);
+    }
+
+#if MODEL_STATE_IS_SUPPORTED
+    if (@available(macOS 15.0, iOS 18.0, tvOS 18.0, watchOS 11.0, *)) {
+        NSDictionary<NSString *, MLFeatureDescription *> *stateDescriptions = self.mlModel.modelDescription.stateDescriptionsByName;
+        [stateDescriptions enumerateKeysAndObjectsUsingBlock:^(NSString *featureName, MLFeatureDescription * __unused obj, BOOL * __unused stop) {
+            reset_state_for_feature_name(featureName, (MLState *) self.state);
+        }];
+    }
+#endif
+
+
+    if (error) {
+        *error = localError;
+    }
+
+    return result;
+}
+
 @end
diff --git a/backends/apple/coreml/runtime/delegate/ETCoreMLModelManager.mm b/backends/apple/coreml/runtime/delegate/ETCoreMLModelManager.mm
index e7846256e6..cd0fbc86f9 100644
--- a/backends/apple/coreml/runtime/delegate/ETCoreMLModelManager.mm
+++ b/backends/apple/coreml/runtime/delegate/ETCoreMLModelManager.mm
@@ -5,36 +5,37 @@
 //
 // Please refer to the license found in the LICENSE file in the root directory of the source tree.
 
-#import <ETCoreMLAsset.h>
-#import <ETCoreMLAssetManager.h>
-#import <ETCoreMLDefaultModelExecutor.h>
-#import <ETCoreMLLogging.h>
-#import <ETCoreMLModel.h>
-#import <ETCoreMLModelCompiler.h>
-#import <ETCoreMLModelExecutor.h>
-#import <ETCoreMLModelLoader.h>
-#import <ETCoreMLModelManager.h>
-#import <ETCoreMLStrings.h>
-#import <MLModel_Prewarm.h>
-#import <MLMultiArray_Copy.h>
+#import "ETCoreMLAsset.h"
+#import "ETCoreMLAssetManager.h"
+#import "ETCoreMLDefaultModelExecutor.h"
+#import "ETCoreMLLogging.h"
+#import "ETCoreMLModel.h"
+#import "ETCoreMLModelCompiler.h"
+#import "ETCoreMLModelExecutor.h"
+#import "ETCoreMLModelLoader.h"
+#import "ETCoreMLModelManager.h"
+#import "ETCoreMLStrings.h"
+#import "MLModel_Prewarm.h"
+#import "MLMultiArray_Copy.h"
 #import <filesystem>
-#import <inmemory_filesystem_utils.hpp>
+#import "inmemory_filesystem_utils.hpp"
 #import <iostream>
 #import <memory>
-#import <model_metadata.h>
-#import <multiarray.h>
-#import <objc_array_util.h>
+#import "model_metadata.h"
+#import "multiarray.h"
+#import "objc_array_util.h"
 #import <optional>
 #import <os/lock.h>
-#import <serde_json.h>
+#import "serde_json.h"
 #import <string>
 #import <system_error>
 #import <vector>
 
 #if ET_EVENT_TRACER_ENABLED
-#import <ETCoreMLModelAnalyzer.h>
-#import <ETCoreMLModelStructurePath.h>
-#import <objc_safe_cast.h>
+#import "ETCoreMLModelAnalyzer.h"
+#import "ETCoreMLModelDebugInfo.h"
+#import "ETCoreMLModelStructurePath.h"
+#import "objc_safe_cast.h"
 #endif
 
 namespace {
@@ -317,31 +318,14 @@ void add_compute_unit(std::string& identifier, MLComputeUnits compute_units) {
     return [[ETCoreMLAsset alloc] initWithBackingAsset:std::move(backingAsset.value())];
 }
 
-NSDictionary<ETCoreMLModelStructurePath *, NSString *> * _Nullable get_operation_path_to_symbol_name_map(const inmemoryfs::InMemoryFileSystem *inMemoryFS,
-                                                                                                         NSError * __autoreleasing *error) {
+ETCoreMLModelDebugInfo * _Nullable get_model_debug_info(const inmemoryfs::InMemoryFileSystem *inMemoryFS,
+                                                        NSError * __autoreleasing *error) {
     NSData *file_data = get_file_data(inMemoryFS, ETCoreMLStrings.debugInfoFileRelativePath);
     if (!file_data) {
         return nil;
     }
-    
-    id object = [NSJSONSerialization JSONObjectWithData:file_data options:(NSJSONReadingOptions)0 error:error];
-    if (!object) {
-        return nil;
-    }
-    
-    NSDictionary<NSString *, id> *json_dict = SAFE_CAST(object, NSDictionary);
-    NSMutableDictionary<ETCoreMLModelStructurePath *, NSString *> *result = [NSMutableDictionary dictionaryWithCapacity:json_dict.count];
-    NSDictionary<NSString *, NSArray<id> *> *debug_symbol_to_operation_path_map = SAFE_CAST(json_dict[ETCoreMLStrings.debugSymbolToOperationPathKeyName], NSDictionary);
-    for (NSString *symbol_name in debug_symbol_to_operation_path_map) {
-        NSArray<NSDictionary<NSString *, id> *> *components = SAFE_CAST(debug_symbol_to_operation_path_map[symbol_name], NSArray);
-        if (components.count == 0) {
-            continue;
-        }
-        ETCoreMLModelStructurePath *path = [[ETCoreMLModelStructurePath alloc] initWithComponents:components];
-        result[path] = symbol_name;
-    }
-    
-    return result;
+
+    return [ETCoreMLModelDebugInfo modelDebugInfoFromData:file_data error:error];
 }
 
 #endif
@@ -490,16 +474,16 @@ - (nullable NSURL *)compiledModelURLWithIdentifier:(NSString *)identifier
     }
     
     NSError *localError = nil;
-    NSDictionary<ETCoreMLModelStructurePath *, NSString *> *operation_path_to_symbol_name_map = get_operation_path_to_symbol_name_map(inMemoryFS,
-                                                                                                                                      &localError);
+    ETCoreMLModelDebugInfo *debug_info = get_model_debug_info(inMemoryFS, &localError);
     if (localError) {
         ETCoreMLLogError(localError, "Failed to parse debug info file");
     }
     
+
     return [[ETCoreMLModelAnalyzer alloc] initWithCompiledModelAsset:compiledModelAsset
                                                           modelAsset:modelAsset
+                                                      modelDebugInfo:debug_info
                                                             metadata:metadata
-                                       operationPathToDebugSymbolMap:operation_path_to_symbol_name_map
                                                        configuration:configuration
                                                         assetManager:self.assetManager
                                                                error:error];
@@ -614,21 +598,8 @@ - (BOOL)prewarmModelWithHandle:(ModelHandle *)handle
     if (!model) {
         return NO;
     }
-    
-    NSError *localError = nil;
-    BOOL result = [model.mlModel prewarmAndReturnError:&localError];
-    if (!result) {
-        ETCoreMLLogError(localError,
-                         "%@: Failed to prewarm model with identifier = %@",
-                         NSStringFromClass(self.assetManager.class),
-                         model.identifier);
-    }
-    
-    if (error) {
-        *error = localError;
-    }
-    
-    return result;
+
+    return [model prewarmAndReturnError:error];
 }
 
 - (void)prewarmRecentlyUsedAssetsWithMaxCount:(NSUInteger)maxCount {
@@ -655,7 +626,7 @@ - (void)prewarmRecentlyUsedAssetsWithMaxCount:(NSUInteger)maxCount {
             
             NSError *prewarmError = nil;
             if (![asset prewarmAndReturnError:&prewarmError]) {
-                ETCoreMLLogError(localError,
+                ETCoreMLLogError(prewarmError,
                                  "%@: Failed to prewarm asset with identifier = %@",
                                  NSStringFromClass(strongSelf.assetManager.class),
                                  asset.identifier);
@@ -698,16 +669,15 @@ - (void)addPrewarmedAsset:(ETCoreMLAsset *)asset {
                                                                        error:&localError];
     // Try without output backings.
     if (!modelOutputs && predictionOptions.outputBackings.count > 0) {
-        localError = nil;
         executor.ignoreOutputBackings = YES;
+        localError = nil;
+        modelOutputs = [executor executeModelWithInputs:inputFeatures
+                                      predictionOptions:predictionOptions
+                                         loggingOptions:loggingOptions
+                                            eventLogger:eventLogger
+                                                  error:&localError];
     }
-    
-    modelOutputs = [executor executeModelWithInputs:inputFeatures
-                                  predictionOptions:predictionOptions
-                                     loggingOptions:loggingOptions
-                                        eventLogger:eventLogger
-                                              error:&localError];
-    
+
     if (error) {
         *error = localError;
     }
diff --git a/backends/apple/coreml/runtime/delegate/ETCoreMLStrings.h b/backends/apple/coreml/runtime/delegate/ETCoreMLStrings.h
index 74383769c4..7d0e010180 100644
--- a/backends/apple/coreml/runtime/delegate/ETCoreMLStrings.h
+++ b/backends/apple/coreml/runtime/delegate/ETCoreMLStrings.h
@@ -66,6 +66,8 @@ NS_ASSUME_NONNULL_BEGIN
 @property (class, copy, readonly, nonatomic, nullable) NSString* debugInfoFileRelativePath;
 /// The debug symbol to operation path key name.
 @property (class, copy, readonly, nonatomic, nullable) NSString* debugSymbolToOperationPathKeyName;
+/// The debug symbol to handles key name.
+@property (class, copy, readonly, nonatomic, nullable) NSString* debugSymbolToHandlesKeyName;
 
 @end
 
diff --git a/backends/apple/coreml/runtime/delegate/ETCoreMLStrings.mm b/backends/apple/coreml/runtime/delegate/ETCoreMLStrings.mm
index e8eb2d3cff..fb66f7b7c0 100644
--- a/backends/apple/coreml/runtime/delegate/ETCoreMLStrings.mm
+++ b/backends/apple/coreml/runtime/delegate/ETCoreMLStrings.mm
@@ -95,6 +95,11 @@ + (NSString *)debugSymbolToOperationPathKeyName {
     return ETCoreMLDebugSymbolToOperationPathKeyName;
 }
 
++ (NSString *)debugSymbolToHandlesKeyName {
+    static NSString * const ETCoreMLDebugSymbolToHandlesKeyName = @"debugSymbolToHandles";
+    return ETCoreMLDebugSymbolToHandlesKeyName;
+}
+
 + (nullable NSString *)assetsDirectoryPath {
     static dispatch_once_t onceToken;
     static NSString *result = nil;
diff --git a/backends/apple/coreml/runtime/delegate/MLModel_Prewarm.h b/backends/apple/coreml/runtime/delegate/MLModel_Prewarm.h
index c066608b89..6caf99507d 100644
--- a/backends/apple/coreml/runtime/delegate/MLModel_Prewarm.h
+++ b/backends/apple/coreml/runtime/delegate/MLModel_Prewarm.h
@@ -8,6 +8,9 @@
 
 #import <CoreML/CoreML.h>
 
+#if !defined(MODEL_STATE_IS_SUPPORTED) && __has_include(<CoreML/MLModel+MLState.h>)
+#define MODEL_STATE_IS_SUPPORTED 1
+#endif
 
 NS_ASSUME_NONNULL_BEGIN
 
@@ -15,9 +18,10 @@ NS_ASSUME_NONNULL_BEGIN
 
 /// Pre-warms the model by running a prediction with zeroed-out inputs.
 ///
+/// @param state The model state.
 /// @param error   On failure, error is filled with the failure information.
 /// @retval `YES` if the prediction succeeded otherwise `NO`.
-- (BOOL)prewarmAndReturnError:(NSError* __autoreleasing*)error;
+- (BOOL)prewarmUsingState:(nullable id)state error:(NSError* __autoreleasing*)error;
 
 @end
 
diff --git a/backends/apple/coreml/runtime/delegate/MLModel_Prewarm.mm b/backends/apple/coreml/runtime/delegate/MLModel_Prewarm.mm
index 71ce967ac3..d6f59666cf 100644
--- a/backends/apple/coreml/runtime/delegate/MLModel_Prewarm.mm
+++ b/backends/apple/coreml/runtime/delegate/MLModel_Prewarm.mm
@@ -71,16 +71,28 @@ + (MLMultiArray *)zeroedMultiArrayWithShape:(NSArray<NSNumber *> *)shape
 
 @implementation MLModel (Prewarm)
 
-- (BOOL)prewarmAndReturnError:(NSError * __autoreleasing *)error {
+- (BOOL)prewarmUsingState:(nullable id)state error:(NSError * __autoreleasing *)error {
     @autoreleasepool {
         id<MLFeatureProvider> inputs = ::get_zeroed_inputs(self, error);
         if (!inputs) {
             return NO;
         }
-        
-        id<MLFeatureProvider> outputs = [self predictionFromFeatures:inputs error:error];
+
+
+        id<MLFeatureProvider> outputs = nil;
+        if (state != nil) {
+#if MODEL_STATE_IS_SUPPORTED
+            if (@available(macOS 15.0, iOS 18.0, tvOS 18.0, watchOS 11.0, *)) {
+                outputs = [self predictionFromFeatures:inputs usingState:(MLState *)state error:error];
+                return outputs != nil;
+            }
+#endif
+        }
+
+        outputs = [self predictionFromFeatures:inputs error:error];
         return outputs != nil;
     }
 }
 
+
 @end
diff --git a/backends/apple/coreml/runtime/delegate/backend_delegate.mm b/backends/apple/coreml/runtime/delegate/backend_delegate.mm
index f6eb7a83fd..efa3dd2472 100644
--- a/backends/apple/coreml/runtime/delegate/backend_delegate.mm
+++ b/backends/apple/coreml/runtime/delegate/backend_delegate.mm
@@ -157,7 +157,7 @@ - (BOOL)_loadAndReturnError:(NSError * _Nullable __autoreleasing *)error {
     if (self.config.should_prewarm_asset) {
         [modelManager prewarmRecentlyUsedAssetsWithMaxCount:1];
     }
-    
+
     return YES;
 }
 
@@ -188,9 +188,14 @@ - (ModelHandle*)loadModelFromAOTData:(NSData*)data
         return nil;
     }
     
-    return [self.impl loadModelFromAOTData:data
-                             configuration:configuration
-                                     error:error];
+    auto handle = [self.impl loadModelFromAOTData:data
+                                    configuration:configuration
+                                            error:error];
+    if ((handle != NULL) && self.config.should_prewarm_model) {
+        [self.impl prewarmModelWithHandle:handle error:nil];
+    }
+
+    return handle;
 }
 
 - (BOOL)executeModelWithHandle:(ModelHandle*)handle
diff --git a/backends/apple/coreml/runtime/delegate/coreml_backend_delegate.mm b/backends/apple/coreml/runtime/delegate/coreml_backend_delegate.mm
index ab596575a2..fc3e5a47f9 100644
--- a/backends/apple/coreml/runtime/delegate/coreml_backend_delegate.mm
+++ b/backends/apple/coreml/runtime/delegate/coreml_backend_delegate.mm
@@ -124,7 +124,8 @@ ModelLoggingOptions get_logging_options(BackendExecutionContext& context) {
     auto event_tracer = context.event_tracer();
     if (event_tracer) {
         options.log_profiling_info = true;
-        options.log_intermediate_tensors = event_tracer->intermediate_outputs_logging_status();
+        auto debug_level = event_tracer->event_tracer_debug_level();
+        options.log_intermediate_tensors = (debug_level >= EventTracerDebugLogLevel::kIntermediateOutputs);
     }
     
     return options;
diff --git a/backends/apple/coreml/runtime/delegate/model_event_logger.h b/backends/apple/coreml/runtime/delegate/model_event_logger.h
index c78ebcaac1..91fe3b18cf 100644
--- a/backends/apple/coreml/runtime/delegate/model_event_logger.h
+++ b/backends/apple/coreml/runtime/delegate/model_event_logger.h
@@ -34,8 +34,8 @@ class ModelEventLogger {
     ///
     /// @param op_path_to_value_map A dictionary with the operation path as the key and the operation's value as the
     /// value.
-    /// @param op_path_to_debug_symbol_name_map A dictionary with the operation path as the key and the symbol name as
-    /// the value. The symbol name is the delegate handle.
+    /// @param op_path_to_debug_symbol_name_map A dictionary with the operation path as the key and the debug symbol
+    /// name as the value.
     virtual void log_intermediate_tensors(
         NSDictionary<ETCoreMLModelStructurePath*, MLMultiArray*>* op_path_to_value_map,
         NSDictionary<ETCoreMLModelStructurePath*, NSString*>* op_path_to_debug_symbol_name_map) const noexcept = 0;
diff --git a/backends/apple/coreml/runtime/include/coreml_backend/delegate.h b/backends/apple/coreml/runtime/include/coreml_backend/delegate.h
index a11d41bf7f..1943e0f05b 100644
--- a/backends/apple/coreml/runtime/include/coreml_backend/delegate.h
+++ b/backends/apple/coreml/runtime/include/coreml_backend/delegate.h
@@ -20,7 +20,7 @@ class BackendDelegate;
 namespace torch {
 namespace executor {
 
-class CoreMLBackendDelegate final : public PyTorchBackendInterface {
+class CoreMLBackendDelegate final : public ::executorch::runtime::BackendInterface {
 public:
     CoreMLBackendDelegate() noexcept;
     ~CoreMLBackendDelegate() = default;
diff --git a/backends/apple/coreml/runtime/sdk/ETCoreMLModelAnalyzer.h b/backends/apple/coreml/runtime/sdk/ETCoreMLModelAnalyzer.h
index 4048dae5fe..a8efe2171c 100644
--- a/backends/apple/coreml/runtime/sdk/ETCoreMLModelAnalyzer.h
+++ b/backends/apple/coreml/runtime/sdk/ETCoreMLModelAnalyzer.h
@@ -7,7 +7,7 @@
 
 #import <CoreML/CoreML.h>
 
-#import <ETCoreMLModelExecutor.h>
+#import "ETCoreMLModelExecutor.h"
 
 namespace executorchcoreml {
 struct ModelMetadata;
@@ -15,6 +15,7 @@ struct ModelMetadata;
 
 @class ETCoreMLAsset;
 @class ETCoreMLAssetManager;
+@class ETCoreMLModelDebugInfo;
 @class ETCoreMLModelStructurePath;
 @protocol ETCoreMLModelEventLogger;
 
@@ -32,16 +33,15 @@ __attribute__((objc_subclassing_restricted))
 ///
 /// @param compiledModelAsset The compiled model asset (mlmodelc).
 /// @param modelAsset The model asset (mlpackage).
+/// @param modelDebugInfo The model debug info.
 /// @param metadata The model metadata.
-/// @param operationPathToDebugSymbolMap The operation path to debug symbol map.
 /// @param configuration The model configuration.
 /// @param assetManager The asset manager used to manage storage of compiled models.
 /// @param error   On failure, error is filled with the failure information.
 - (nullable instancetype)initWithCompiledModelAsset:(ETCoreMLAsset*)compiledModelAsset
                                          modelAsset:(nullable ETCoreMLAsset*)modelAsset
+                                     modelDebugInfo:(nullable ETCoreMLModelDebugInfo*)modelDebugInfo
                                            metadata:(const executorchcoreml::ModelMetadata&)metadata
-                      operationPathToDebugSymbolMap:
-                          (nullable NSDictionary<ETCoreMLModelStructurePath*, NSString*>*)operationPathToDebugSymbolMap
                                       configuration:(MLModelConfiguration*)configuration
                                        assetManager:(ETCoreMLAssetManager*)assetManager
                                               error:(NSError* __autoreleasing*)error NS_DESIGNATED_INITIALIZER;
diff --git a/backends/apple/coreml/runtime/sdk/ETCoreMLModelAnalyzer.mm b/backends/apple/coreml/runtime/sdk/ETCoreMLModelAnalyzer.mm
index 57212445e5..988b5d808a 100644
--- a/backends/apple/coreml/runtime/sdk/ETCoreMLModelAnalyzer.mm
+++ b/backends/apple/coreml/runtime/sdk/ETCoreMLModelAnalyzer.mm
@@ -5,22 +5,24 @@
 //
 // Please refer to the license found in the LICENSE file in the root directory of the source tree.
 
-#import <ETCoreMLAsset.h>
-#import <ETCoreMLAssetManager.h>
-#import <ETCoreMLDefaultModelExecutor.h>
-#import <ETCoreMLLogging.h>
-#import <ETCoreMLModel.h>
-#import <ETCoreMLModelAnalyzer.h>
-#import <ETCoreMLModelLoader.h>
-#import <ETCoreMLModelStructurePath.h>
-#import <ETCoreMLModelDebugger.h>
-#import <ETCoreMLModelProfiler.h>
-#import <ETCoreMLStrings.h>
-#import <model_logging_options.h>
-#import <model_event_logger.h>
-#import <model_metadata.h>
-#import <model_package_info.h>
-#import <objc_safe_cast.h>
+#import "ETCoreMLModelAnalyzer.h"
+
+#import "ETCoreMLAsset.h"
+#import "ETCoreMLAssetManager.h"
+#import "ETCoreMLDefaultModelExecutor.h"
+#import "ETCoreMLLogging.h"
+#import "ETCoreMLModel.h"
+#import "ETCoreMLModelLoader.h"
+#import "ETCoreMLModelStructurePath.h"
+#import "ETCoreMLModelDebugInfo.h"
+#import "ETCoreMLModelDebugger.h"
+#import "ETCoreMLModelProfiler.h"
+#import "ETCoreMLStrings.h"
+#import "model_logging_options.h"
+#import "model_event_logger.h"
+#import "model_metadata.h"
+#import "model_package_info.h"
+#import "objc_safe_cast.h"
 
 namespace {
 using namespace executorchcoreml;
@@ -34,7 +36,7 @@ @interface ETCoreMLModelAnalyzer ()
 @property (strong, nonatomic, nullable) ETCoreMLModelProfiler *profiler;
 @property (strong, nonatomic, nullable) ETCoreMLModelDebugger *debugger;
 @property (strong, nonatomic, nullable) id<ETCoreMLModelExecutor> executor;
-@property (readonly, copy, nonatomic, nullable) NSDictionary<ETCoreMLModelStructurePath *, NSString *> *operationPathToDebugSymbolMap;
+@property (readonly, copy, nonatomic, nullable) ETCoreMLModelDebugInfo *modelDebugInfo;
 @property (readonly, strong, nonatomic) MLModelConfiguration *configuration;
 
 @end
@@ -43,8 +45,8 @@ @implementation ETCoreMLModelAnalyzer
 
 - (nullable instancetype)initWithCompiledModelAsset:(ETCoreMLAsset *)compiledModelAsset
                                          modelAsset:(nullable ETCoreMLAsset *)modelAsset
+                                     modelDebugInfo:(nullable ETCoreMLModelDebugInfo *)modelDebugInfo
                                            metadata:(const executorchcoreml::ModelMetadata&)metadata
-                      operationPathToDebugSymbolMap:(nullable NSDictionary<ETCoreMLModelStructurePath *, NSString *> *)operationPathToDebugSymbolMap
                                       configuration:(MLModelConfiguration *)configuration
                                        assetManager:(ETCoreMLAssetManager *)assetManager
                                               error:(NSError * __autoreleasing *)error {
@@ -72,9 +74,9 @@ - (nullable instancetype)initWithCompiledModelAsset:(ETCoreMLAsset *)compiledMod
     if (self) {
         _model = model;
         _modelAsset = modelAsset;
+        _modelDebugInfo = modelDebugInfo;
         _assetManager = assetManager;
         _configuration = configuration;
-        _operationPathToDebugSymbolMap = operationPathToDebugSymbolMap;
         _executor = [[ETCoreMLDefaultModelExecutor alloc] initWithModel:model];
     }
     
@@ -86,10 +88,9 @@ - (nullable instancetype)initWithCompiledModelAsset:(ETCoreMLAsset *)compiledMod
                                                  eventLogger:(const executorchcoreml::ModelEventLogger *)eventLogger
                                                        error:(NSError * __autoreleasing *)error {
     if (self.profiler == nil) {
-        ETCoreMLModelProfiler *profiler = [[ETCoreMLModelProfiler alloc] initWithCompiledModelAsset:self.model.asset
-                                                                                        outputNames:self.model.orderedOutputNames
-                                                                                      configuration:self.configuration
-                                                                                              error:error];
+        ETCoreMLModelProfiler *profiler = [[ETCoreMLModelProfiler alloc] initWithModel:self.model
+                                                                         configuration:self.configuration
+                                                                                 error:error];
         self.profiler = profiler;
     }
        
@@ -113,7 +114,7 @@ - (nullable instancetype)initWithCompiledModelAsset:(ETCoreMLAsset *)compiledMod
         return nil;
     }
     
-    eventLogger->log_profiling_infos(profilingInfos, self.operationPathToDebugSymbolMap);
+    eventLogger->log_profiling_infos(profilingInfos, self.modelDebugInfo.pathToDebugSymbolMap);
     return modelOutputs;
 }
 
@@ -131,6 +132,7 @@ - (nullable instancetype)initWithCompiledModelAsset:(ETCoreMLAsset *)compiledMod
     
     if (!self.debugger) {
         self.debugger = [[ETCoreMLModelDebugger alloc] initWithModelAsset:self.modelAsset
+                                                           modelDebugInfo:self.modelDebugInfo
                                                               outputNames:self.model.orderedOutputNames
                                                             configuration:self.configuration
                                                              assetManager:self.assetManager
@@ -143,6 +145,7 @@ - (nullable instancetype)initWithCompiledModelAsset:(ETCoreMLAsset *)compiledMod
     
     NSArray<MLMultiArray *> *modelOutputs = nil;
     NSArray<ETCoreMLModelStructurePath *> *operationPaths = self.debugger.operationPaths;
+    NSDictionary<ETCoreMLModelStructurePath *, NSString *> *operationPathToDebugSymbolMap = self.debugger.operationPathToDebugSymbolMap;
     NSInteger n = operationPaths.count/MAX_MODEL_OUTPUTS_COUNT + (operationPaths.count % MAX_MODEL_OUTPUTS_COUNT == 0 ? 0 : 1);
     for (NSInteger i = 0; i < n; i++) {
         @autoreleasepool {
@@ -157,7 +160,7 @@ - (nullable instancetype)initWithCompiledModelAsset:(ETCoreMLAsset *)compiledMod
             }
             
             if (outputs.count > 0) {
-                eventLogger->log_intermediate_tensors(outputs, self.operationPathToDebugSymbolMap);
+                eventLogger->log_intermediate_tensors(outputs, operationPathToDebugSymbolMap);
             }
         }
     }
diff --git a/backends/apple/coreml/runtime/sdk/ETCoreMLModelDebugInfo.h b/backends/apple/coreml/runtime/sdk/ETCoreMLModelDebugInfo.h
new file mode 100644
index 0000000000..ab8fdaaedd
--- /dev/null
+++ b/backends/apple/coreml/runtime/sdk/ETCoreMLModelDebugInfo.h
@@ -0,0 +1,47 @@
+//
+// ETCoreMLModelDebugInfo.h
+//
+// Copyright © 2024 Apple Inc. All rights reserved.
+//
+// Please refer to the license found in the LICENSE file in the root directory of the source tree.
+
+#import <Foundation/Foundation.h>
+
+@class ETCoreMLModelStructurePath;
+
+NS_ASSUME_NONNULL_BEGIN
+
+/// A class representing the profiling info of an operation.
+__attribute__((objc_subclassing_restricted))
+@interface ETCoreMLModelDebugInfo : NSObject
+
+- (instancetype)init NS_UNAVAILABLE;
+
++ (instancetype)new NS_UNAVAILABLE;
+
+
+/// Constructs an `ETCoreMLModelDebugInfo` instance.
+///
+/// @param pathToDebugSymbolMap Operation path to debug symbol map.
+/// @param pathToDebugHandlesMap Operation path to debug handles map.
+- (instancetype)initWithPathToDebugSymbolMap:(NSDictionary<ETCoreMLModelStructurePath*, NSString*>*)pathToDebugSymbolMap
+                       pathToDebugHandlesMap:
+                           (NSDictionary<ETCoreMLModelStructurePath*, NSArray<NSString*>*>*)pathToDebugHandlesMap
+    NS_DESIGNATED_INITIALIZER;
+
+/// Constructs an `ETCoreMLModelDebugInfo` instance.
+///
+/// @param data The json data.
+/// @param error   On failure, error is filled with the failure information.
++ (nullable instancetype)modelDebugInfoFromData:(NSData*)data error:(NSError* __autoreleasing*)error;
+
+/// Operation path to debug symbol map.
+@property (readonly, strong, nonatomic) NSDictionary<ETCoreMLModelStructurePath*, NSString*>* pathToDebugSymbolMap;
+
+/// Operation path to debug handles map.
+@property (readonly, strong, nonatomic)
+    NSDictionary<ETCoreMLModelStructurePath*, NSArray<NSString*>*>* pathToDebugHandlesMap;
+
+@end
+
+NS_ASSUME_NONNULL_END
diff --git a/backends/apple/coreml/runtime/sdk/ETCoreMLModelDebugInfo.mm b/backends/apple/coreml/runtime/sdk/ETCoreMLModelDebugInfo.mm
new file mode 100644
index 0000000000..4e14d2502d
--- /dev/null
+++ b/backends/apple/coreml/runtime/sdk/ETCoreMLModelDebugInfo.mm
@@ -0,0 +1,71 @@
+//
+//  ETCoreMLModelDebugInfo.mm
+//
+// Copyright © 2024 Apple Inc. All rights reserved.
+//
+// Please refer to the license found in the LICENSE file in the root directory of the source tree.
+
+
+#import "ETCoreMLModelDebugInfo.h"
+
+#import "ETCoreMLStrings.h"
+#import "ETCoreMLModelStructurePath.h"
+#import "objc_safe_cast.h"
+
+
+@implementation ETCoreMLModelDebugInfo
+
+- (instancetype)initWithPathToDebugSymbolMap:(NSDictionary<ETCoreMLModelStructurePath *, NSString *> *)pathToDebugSymbolMap
+                       pathToDebugHandlesMap:(NSDictionary<ETCoreMLModelStructurePath *, NSArray<NSString *> *> *)pathToDebugHandlesMap {
+    self = [super init];
+    if (self) {
+        _pathToDebugSymbolMap = [pathToDebugSymbolMap copy];
+        _pathToDebugHandlesMap = [pathToDebugHandlesMap copy];
+    }
+
+    return self;
+}
+
++ (nullable instancetype)modelDebugInfoFromData:(NSData *)data error:(NSError * __autoreleasing *)error {
+    id object = [NSJSONSerialization JSONObjectWithData:data options:(NSJSONReadingOptions)0 error:error];
+    if (!object) {
+        return nil;
+    }
+
+    NSDictionary<NSString *, id> *jsonDict = SAFE_CAST(object, NSDictionary);
+    // Construct operation path to debug symbol map.
+    NSDictionary<NSString *, NSArray<id> *> *debugSymbolToPathMap = SAFE_CAST(jsonDict[ETCoreMLStrings.debugSymbolToOperationPathKeyName], NSDictionary);
+    NSMutableDictionary<ETCoreMLModelStructurePath *, NSString *> *pathToDebugSymbolMap = [NSMutableDictionary dictionaryWithCapacity:debugSymbolToPathMap.count];
+    for (NSString *symbolName in debugSymbolToPathMap) {
+        NSArray<NSDictionary<NSString *, id> *> *components = SAFE_CAST(debugSymbolToPathMap[symbolName], NSArray);
+        if (components.count == 0) {
+            continue;
+        }
+        ETCoreMLModelStructurePath *path = [[ETCoreMLModelStructurePath alloc] initWithComponents:components];
+        pathToDebugSymbolMap[path] = symbolName;
+
+    }
+    // Construct operation path to debug handles map.
+    NSDictionary<NSString *, NSArray<NSString *> *> *debugSymbolToHandles = SAFE_CAST(jsonDict[ETCoreMLStrings.debugSymbolToHandlesKeyName], NSDictionary);
+    NSMutableDictionary<ETCoreMLModelStructurePath *, NSArray<NSString *> *> *pathToDebugHandlesMap = [NSMutableDictionary dictionaryWithCapacity:debugSymbolToHandles.count];
+    for (NSString *debugSymbol in debugSymbolToHandles) {
+        NSArray<id> *components = debugSymbolToPathMap[debugSymbol];
+        if (components.count == 0) {
+            continue;
+        }
+
+        NSArray<NSString *> *debugHandles = debugSymbolToHandles[debugSymbol];
+        if (debugHandles.count == 0) {
+            continue;
+        }
+
+        ETCoreMLModelStructurePath *path = [[ETCoreMLModelStructurePath alloc] initWithComponents:components];
+        pathToDebugHandlesMap[path] = debugHandles;
+    }
+
+    return [[ETCoreMLModelDebugInfo alloc] initWithPathToDebugSymbolMap:pathToDebugSymbolMap
+                                                  pathToDebugHandlesMap:pathToDebugHandlesMap];
+
+}
+
+@end
diff --git a/backends/apple/coreml/runtime/sdk/ETCoreMLModelDebugger.h b/backends/apple/coreml/runtime/sdk/ETCoreMLModelDebugger.h
index 7221086318..40b9e32394 100644
--- a/backends/apple/coreml/runtime/sdk/ETCoreMLModelDebugger.h
+++ b/backends/apple/coreml/runtime/sdk/ETCoreMLModelDebugger.h
@@ -9,6 +9,7 @@
 
 @class ETCoreMLAsset;
 @class ETCoreMLAssetManager;
+@class ETCoreMLModelDebugInfo;
 @class ETCoreMLModelStructurePath;
 
 typedef NSDictionary<ETCoreMLModelStructurePath*, MLMultiArray*> ETCoreMLModelOutputs;
@@ -25,11 +26,13 @@ __attribute__((objc_subclassing_restricted))
 /// Constructs an `ETCoreMLModelDebugger` instance.
 ///
 /// @param modelAsset The model asset (mlpackage).
+/// @param modelDebugInfo The model debug info.
 /// @param outputNames The model output names.
 /// @param configuration The model configuration.
 /// @param assetManager The asset manager used to manage storage of compiled models.
 /// @param error   On failure, error is filled with the failure information.
 - (nullable instancetype)initWithModelAsset:(ETCoreMLAsset*)modelAsset
+                             modelDebugInfo:(nullable ETCoreMLModelDebugInfo*)modelDebugInfo
                                 outputNames:(NSOrderedSet<NSString*>*)outputNames
                               configuration:(MLModelConfiguration*)configuration
                                assetManager:(ETCoreMLAssetManager*)assetManager
@@ -55,6 +58,10 @@ __attribute__((objc_subclassing_restricted))
 /// The paths to all the operations for which we can get the outputs.
 @property (readonly, copy, nonatomic) NSArray<ETCoreMLModelStructurePath*>* operationPaths;
 
+/// Operation path to debug symbol map.
+@property (readonly, copy, nonatomic)
+    NSDictionary<ETCoreMLModelStructurePath*, NSString*>* operationPathToDebugSymbolMap;
+
 @end
 
 NS_ASSUME_NONNULL_END
diff --git a/backends/apple/coreml/runtime/sdk/ETCoreMLModelDebugger.mm b/backends/apple/coreml/runtime/sdk/ETCoreMLModelDebugger.mm
index 32a629c6f3..3be28b56d6 100644
--- a/backends/apple/coreml/runtime/sdk/ETCoreMLModelDebugger.mm
+++ b/backends/apple/coreml/runtime/sdk/ETCoreMLModelDebugger.mm
@@ -5,21 +5,23 @@
 //
 // Please refer to the license found in the LICENSE file in the root directory of the source tree.
 
+#import "ETCoreMLModelDebugger.h"
+
 #import <CoreML/CoreML.h>
-#import <ETCoreMLAsset.h>
-#import <ETCoreMLAssetManager.h>
-#import <ETCoreMLLogging.h>
-#import <ETCoreMLModelCompiler.h>
-#import <ETCoreMLModelStructurePath.h>
-#import <ETCoreMLPair.h>
-#import <ETCoreMLModelDebugger.h>
-#import <ETCoreMLStrings.h>
+#import "ETCoreMLAsset.h"
+#import "ETCoreMLAssetManager.h"
+#import "ETCoreMLLogging.h"
+#import "ETCoreMLModelCompiler.h"
+#import "ETCoreMLModelDebugInfo.h"
+#import "ETCoreMLModelStructurePath.h"
+#import "ETCoreMLPair.h"
+#import "ETCoreMLStrings.h"
 #import <format/MIL.pb.h>
 #import <format/Model.pb.h>
 #import <fstream>
 #import <iostream>
-#import <model_package_info.h>
-#import <objc_json_serde.h>
+#import "model_package_info.h"
+#import "objc_json_serde.h"
 #import <string>
 #import <unordered_map>
 
@@ -68,10 +70,6 @@ BOOL is_const_operation(const MILSpec::Operation& operation) {
     return operation.type() == "const";
 }
 
-BOOL is_cast_operation(const MILSpec::Operation& operation) {
-    return operation.type() == "cast";
-}
-
 BOOL is_datatype_supported_as_model_output(MILSpec::DataType datatype) {
     switch (datatype) {
         case MILSpec::DataType::INT32:
@@ -95,11 +93,7 @@ BOOL is_operation_output_supported_as_model_output(const MILSpec::Operation& ope
     if (is_const_operation(operation)) {
         return NO;
     }
-    
-    if (is_cast_operation(operation)) {
-        return NO;
-    }
-    
+
     return YES;
 }
 
@@ -316,7 +310,6 @@ void update_model_spec_version_to_include_fp16_output(Model& model_spec) {
         return nil;
     }
     
-    // Compile the model.
     return [ETCoreMLModelCompiler compileModelAtURL:model_url
                                maxWaitTimeInSeconds:(5 * 60)
                                               error:error];
@@ -383,6 +376,108 @@ void set_intermediate_outputs(id<MLFeatureProvider> output_features,
         result[path] = multi_array;
     }
 }
+
+NSArray<ETCoreMLModelStructurePath *> *get_operation_dependencies(const MILSpec::Operation &operation,
+                                                                  ETCoreMLModelStructurePath *path,
+                                                                  NSSet<ETCoreMLModelStructurePath *> *paths) {
+    const auto& inputs = operation.inputs();
+    const auto cppPath = path.underlyingValue;
+    NSMutableArray<ETCoreMLModelStructurePath *> *deps = [NSMutableArray arrayWithCapacity:inputs.size()];
+    for (const auto& [_, arg] : inputs) {
+        const auto& bindings = arg.arguments();
+        for (const auto& binding : bindings) {
+            if (binding.has_value()) {
+                continue;
+            }
+
+            const auto& name = binding.name();
+            auto dep = cppPath;
+            dep.remove_last_component();
+            dep.append_component(Path::Program::Operation(name));
+            ETCoreMLModelStructurePath *path = [[ETCoreMLModelStructurePath alloc] initWithUnderlyingValue:dep];
+            if ([paths containsObject:path]) {
+                [deps addObject:path];
+            }
+        }
+    }
+
+    return deps;
+}
+
+NSDictionary<NSString *, NSArray<ETCoreMLModelStructurePath *> *> *get_debug_handle_to_operation_paths_map(ETCoreMLModelDebugInfo *debug_info) {
+    NSUInteger capacity = debug_info.pathToDebugHandlesMap.count;
+    NSMutableDictionary<NSString *, NSMutableArray<ETCoreMLModelStructurePath *> *> *result = [NSMutableDictionary dictionaryWithCapacity:capacity];
+    [debug_info.pathToDebugHandlesMap enumerateKeysAndObjectsUsingBlock:^(ETCoreMLModelStructurePath *path,
+                                                                          NSArray<NSString *> *debug_handles,
+                                                                          BOOL * _Nonnull __unused stop) {
+        for (NSString *debug_handle in debug_handles) {
+            NSMutableArray<ETCoreMLModelStructurePath *> *paths = result[debug_handle];
+            if (!paths) {
+                paths = [NSMutableArray array];
+                result[debug_handle] = paths;
+            }
+
+            [paths addObject:path];
+        }
+
+    }];
+
+    return result;
+}
+
+BOOL is_node_terminal_node(ETCoreMLModelStructurePath *node,
+                           NSArray<ETCoreMLModelStructurePath *> *nodes,
+                           NSDictionary<ETCoreMLModelStructurePath *, NSArray<ETCoreMLModelStructurePath *> *> *dependencies) {
+    NSMutableSet<ETCoreMLModelStructurePath *> *nodes_dependencies = [NSMutableSet set];
+    for (ETCoreMLModelStructurePath *current_node in nodes) {
+        if ([current_node isEqual:node]) {
+            continue;
+        }
+        NSArray<ETCoreMLModelStructurePath *> *node_dependencies = dependencies[current_node];
+        if (node_dependencies.count > 0) {
+            [nodes_dependencies addObjectsFromArray:node_dependencies];
+        }
+    }
+
+    return ![nodes_dependencies containsObject:node];
+}
+
+ETCoreMLModelStructurePath *_Nullable find_terminal_node_from_nodes(NSArray<ETCoreMLModelStructurePath *> *nodes,
+                                                                    NSDictionary<ETCoreMLModelStructurePath *, NSArray<ETCoreMLModelStructurePath *> *> *dependencies) {
+    if (nodes.count < 2) {
+        return nodes.firstObject;
+    }
+
+    for (ETCoreMLModelStructurePath *node in nodes) {
+        if (is_node_terminal_node(node, nodes, dependencies)) {
+            return node;
+        }
+    }
+
+    return nil;
+}
+
+NSDictionary<ETCoreMLModelStructurePath *, NSString *> *get_operation_path_to_debug_symbol_map(ETCoreMLModelDebugInfo *model_debug_info,
+                                                                                               NSDictionary<NSString *, NSArray<ETCoreMLModelStructurePath *> *> *debug_handle_to_operation_paths_map,
+                                                                                               NSDictionary<ETCoreMLModelStructurePath *, NSArray<ETCoreMLModelStructurePath *> *> *dependencies) {
+    // When decomposing an EXIR operation into a MIL graph, it is essential to report the output of the terminal node of the MIL graph.
+    // This output corresponds directly to the output of the original EXIR operation.
+    NSUInteger capacity = debug_handle_to_operation_paths_map.count;
+    NSMutableDictionary<ETCoreMLModelStructurePath *, NSString *> *operation_path_to_debug_symbol_map = [NSMutableDictionary dictionaryWithCapacity:capacity];
+    [debug_handle_to_operation_paths_map enumerateKeysAndObjectsUsingBlock:^(NSString *debug_handle,
+                                                                             NSArray<ETCoreMLModelStructurePath *> *operation_paths,
+                                                                             BOOL * __unused stop) {
+        ETCoreMLModelStructurePath *operation_path = find_terminal_node_from_nodes(operation_paths, dependencies);
+        NSString *debug_symbol = (operation_path != nil) ? model_debug_info.pathToDebugSymbolMap[operation_path] : nil;
+        if (debug_symbol) {
+            operation_path_to_debug_symbol_map[operation_path] = debug_symbol;
+        }
+
+    }];
+
+    return operation_path_to_debug_symbol_map;
+}
+
 }
 
 @interface ETCoreMLModelDebugger ()
@@ -390,6 +485,8 @@ @interface ETCoreMLModelDebugger ()
 @property (readonly, copy, nonatomic) NSOrderedSet<NSString *> *outputNames;
 /// The model asset.
 @property (readonly, copy, nonatomic) ETCoreMLAsset *modelAsset;
+/// The model debug info.
+@property (readonly, copy, nonatomic, nullable) ETCoreMLModelDebugInfo *modelDebugInfo;
 /// The asset manager.
 @property (readonly, copy, nonatomic) ETCoreMLAssetManager *assetManager;
 /// The model configuration.
@@ -404,6 +501,7 @@ @implementation ETCoreMLModelDebugger {
 }
 
 - (nullable instancetype)initWithModelAsset:(ETCoreMLAsset *)modelAsset
+                             modelDebugInfo:(nullable ETCoreMLModelDebugInfo *)modelDebugInfo
                                 outputNames:(NSOrderedSet<NSString *> *)outputNames
                               configuration:(MLModelConfiguration *)configuration
                                assetManager:(ETCoreMLAssetManager *)assetManager
@@ -422,15 +520,27 @@ - (nullable instancetype)initWithModelAsset:(ETCoreMLAsset *)modelAsset
     if (!modelSpec) {
         return nil;
     }
-    
+
+    __block NSMutableDictionary<ETCoreMLModelStructurePath *, NSArray<ETCoreMLModelStructurePath *> *> *dependencies = [NSMutableDictionary dictionary];
     __block NSMutableArray<ETCoreMLModelStructurePath *> *operationPaths = [NSMutableArray array];
+    __block NSMutableSet<ETCoreMLModelStructurePath *> *allOperationPaths = [NSMutableSet set];
     visit_program_operation(*modelSpec, ^BOOL(const MILSpec::Operation &operation, ETCoreMLModelStructurePath *operationPath) {
+        dependencies[operationPath] = get_operation_dependencies(operation, operationPath, allOperationPaths);
+        [allOperationPaths addObject:operationPath];
         if (is_operation_output_supported_as_model_output(operation)) {
             [operationPaths addObject:operationPath];
         }
+
         return YES;
     });
-    
+
+
+    NSDictionary<NSString *, NSArray<ETCoreMLModelStructurePath *> *> *debugHandleToOperationPathsMap = get_debug_handle_to_operation_paths_map(modelDebugInfo);
+
+    NSDictionary<ETCoreMLModelStructurePath *, NSString *> *operationPathToDebugSymbolMap = get_operation_path_to_debug_symbol_map(modelDebugInfo,
+                                                                                                                                   debugHandleToOperationPathsMap,
+                                                                                                                                   dependencies);
+
     self = [super init];
     if (self) {
         _modelAsset = modelAsset;
@@ -440,6 +550,8 @@ - (nullable instancetype)initWithModelAsset:(ETCoreMLAsset *)modelAsset
         _modelSpec = std::move(modelSpec);
         _modelSpecURL = modelSpecURL;
         _operationPaths = operationPaths;
+        _operationPathToDebugSymbolMap = operationPathToDebugSymbolMap;
+        _modelDebugInfo = modelDebugInfo;
     }
     
     return self;
diff --git a/backends/apple/coreml/runtime/sdk/ETCoreMLModelProfiler.h b/backends/apple/coreml/runtime/sdk/ETCoreMLModelProfiler.h
index a2fbb98582..7a43a30d75 100644
--- a/backends/apple/coreml/runtime/sdk/ETCoreMLModelProfiler.h
+++ b/backends/apple/coreml/runtime/sdk/ETCoreMLModelProfiler.h
@@ -5,10 +5,11 @@
 //
 // Please refer to the license found in the LICENSE file in the root directory of the source tree.
 
+#import "ETCoreMLPair.h"
 #import <CoreML/CoreML.h>
-#import <ETCoreMLPair.h>
 #import <TargetConditionals.h>
 
+@class ETCoreMLAsset;
 @class ETCoreMLModel;
 @class ETCoreMLModelStructurePath;
 @class ETCoreMLOperationProfilingInfo;
@@ -30,14 +31,12 @@ __attribute__((objc_subclassing_restricted))
 
 /// Constructs an `ETCoreMLModelProfiler` instance.
 ///
-/// @param compiledModelAsset The compiled model asset (mlmodelc).
-/// @param outputNames The model output names.
+/// @param model The model.
 /// @param configuration The model configuration.
 /// @param error   On failure, error is filled with the failure information.
-- (nullable instancetype)initWithCompiledModelAsset:(ETCoreMLAsset*)compiledModelAsset
-                                        outputNames:(NSOrderedSet<NSString*>*)outputNames
-                                      configuration:(MLModelConfiguration*)configuration
-                                              error:(NSError* __autoreleasing*)error NS_DESIGNATED_INITIALIZER;
+- (nullable instancetype)initWithModel:(ETCoreMLModel*)model
+                         configuration:(MLModelConfiguration*)configuration
+                                 error:(NSError* __autoreleasing*)error NS_DESIGNATED_INITIALIZER;
 
 /// Returns profiling info of operations at the specified paths.
 ///
diff --git a/backends/apple/coreml/runtime/sdk/ETCoreMLModelProfiler.mm b/backends/apple/coreml/runtime/sdk/ETCoreMLModelProfiler.mm
index 927fb7700e..5998701eb0 100644
--- a/backends/apple/coreml/runtime/sdk/ETCoreMLModelProfiler.mm
+++ b/backends/apple/coreml/runtime/sdk/ETCoreMLModelProfiler.mm
@@ -5,16 +5,18 @@
 //
 // Please refer to the license found in the LICENSE file in the root directory of the source tree.
 
-#import <ETCoreMLAsset.h>
-#import <ETCoreMLLogging.h>
-#import <ETCoreMLModelStructurePath.h>
-#import <ETCoreMLOperationProfilingInfo.h>
-#import <ETCoreMLPair.h>
-#import <ETCoreMLModelProfiler.h>
-#import <ETCoreMLStrings.h>
+#import "ETCoreMLModelProfiler.h"
+
+#import "ETCoreMLAsset.h"
+#import "ETCoreMLModel.h"
+#import "ETCoreMLLogging.h"
+#import "ETCoreMLModelStructurePath.h"
+#import "ETCoreMLOperationProfilingInfo.h"
+#import "ETCoreMLPair.h"
+#import "ETCoreMLStrings.h"
 #import <mach/mach_time.h>
 #import <math.h>
-#import <program_path.h>
+#import "program_path.h"
 
 namespace  {
 using namespace executorchcoreml::modelstructure;
@@ -220,8 +222,8 @@ void set_model_outputs(id<MLFeatureProvider> output_features,
 }
 
 @interface ETCoreMLModelProfiler ()
-/// The CoreML model.
-@property (readonly, strong, nonatomic) MLModel *model;
+/// The model.
+@property (readonly, strong, nonatomic) ETCoreMLModel *model;
 /// The model output names.
 @property (readonly, copy, nonatomic) NSOrderedSet<NSString *> *outputNames;
 #if MODEL_PROFILING_IS_AVAILABLE
@@ -239,25 +241,19 @@ @interface ETCoreMLModelProfiler ()
 
 @implementation ETCoreMLModelProfiler
 
-- (nullable instancetype)initWithCompiledModelAsset:(ETCoreMLAsset *)compiledModelAsset
-                                        outputNames:(NSOrderedSet<NSString *> *)outputNames
-                                      configuration:(MLModelConfiguration *)configuration
-                                              error:(NSError * __autoreleasing *)error  {
+- (nullable instancetype)initWithModel:(ETCoreMLModel *)model
+                         configuration:(MLModelConfiguration *)configuration
+                                 error:(NSError * __autoreleasing *)error  {
 #if MODEL_PROFILING_IS_AVAILABLE
     if (@available(macOS 14.4, iOS 17.4, tvOS 17.4, watchOS 10.4, *)) {
-        NSURL *compiledModelURL = compiledModelAsset.contentURL;
+        NSURL *compiledModelURL = model.asset.contentURL;
         MLComputePlan *computePlan = get_compute_plan_of_model_at_url(compiledModelURL,
                                                                       configuration,
                                                                       error);
         if (!computePlan) {
             return nil;
         }
-        
-        MLModel *model = [MLModel modelWithContentsOfURL:compiledModelURL error:error];
-        if (!model) {
-            return nil;
-        }
-        
+
         __block NSMutableArray<ETCoreMLModelStructurePath *> *operationPaths = [NSMutableArray array];
         __block NSMutableDictionary<NSValue *, ETCoreMLModelStructurePath *> *operationToPathMap = [NSMutableDictionary dictionary];
         __block NSMutableArray<MLModelStructureProgramOperation *> *topologicallySortedOperations = [NSMutableArray new];
@@ -279,7 +275,6 @@ - (nullable instancetype)initWithCompiledModelAsset:(ETCoreMLAsset *)compiledMod
         
         self = [super init];
         if (self) {
-            _outputNames = [outputNames copy];
             _model = model;
             _computePlan = computePlan;
             _operationToPathMap = operationToPathMap;
@@ -331,10 +326,10 @@ - (nullable ETCoreMLModelProfilingResult *)profilingInfoForOperationsAtPaths:(NS
     return nil;
 }
 
-- (nullable ETCoreMLModelProfilingResult *)profilingInfoForAllOperationsWithOptions:(MLPredictionOptions *)options
-                                                                             inputs:(id<MLFeatureProvider>)inputs
-                                                                       modelOutputs:(NSArray<MLMultiArray *> *_Nullable __autoreleasing *_Nonnull)modelOutputs
-                                                                              error:(NSError* __autoreleasing *)error {
+- (nullable ETCoreMLModelProfilingResult *)profilingInfoForOperationsAtPaths:(MLPredictionOptions *)options
+                                                                      inputs:(id<MLFeatureProvider>)inputs
+                                                                modelOutputs:(NSArray<MLMultiArray *> *_Nullable __autoreleasing *_Nonnull)modelOutputs
+                                                                       error:(NSError* __autoreleasing *)error {
 #if MODEL_PROFILING_IS_AVAILABLE
     if (@available(macOS 14.4, iOS 17.4, tvOS 17.4, watchOS 10.4, *)) {
         __block NSMutableArray<ETCoreMLModelStructurePath *> *paths = [NSMutableArray array];
@@ -344,7 +339,7 @@ - (nullable ETCoreMLModelProfilingResult *)profilingInfoForAllOperationsWithOpti
             }
             return YES;
         });
-        
+
         return [self profilingInfoForOperationsAtPaths:paths
                                                options:options
                                                 inputs:inputs
diff --git a/backends/apple/coreml/runtime/sdk/ETCoreMLModelStructurePath.mm b/backends/apple/coreml/runtime/sdk/ETCoreMLModelStructurePath.mm
index ad09e10244..419618ac5e 100644
--- a/backends/apple/coreml/runtime/sdk/ETCoreMLModelStructurePath.mm
+++ b/backends/apple/coreml/runtime/sdk/ETCoreMLModelStructurePath.mm
@@ -7,7 +7,7 @@
 
 #import "ETCoreMLModelStructurePath.h"
 
-#import <objc_safe_cast.h>
+#import "objc_safe_cast.h"
 
 namespace {
 using namespace executorchcoreml::modelstructure;
diff --git a/backends/apple/coreml/runtime/sdk/ETCoreMLOperationProfilingInfo.mm b/backends/apple/coreml/runtime/sdk/ETCoreMLOperationProfilingInfo.mm
index 4ede54dd1e..c687f47ca2 100644
--- a/backends/apple/coreml/runtime/sdk/ETCoreMLOperationProfilingInfo.mm
+++ b/backends/apple/coreml/runtime/sdk/ETCoreMLOperationProfilingInfo.mm
@@ -5,9 +5,10 @@
 //
 // Please refer to the license found in the LICENSE file in the root directory of the source tree.
 
-#import <ETCoreMLOperationProfilingInfo.h>
-#import <hash_util.h>
-#import <model_event_logger_impl.h>
+#import "ETCoreMLOperationProfilingInfo.h"
+
+#import "hash_util.h"
+#import "model_event_logger_impl.h"
 
 namespace  {
 NSString *const kPreferredComputeUnitKey = @"preferredComputeUnit";
diff --git a/backends/apple/coreml/runtime/sdk/ETCoreMLPair.mm b/backends/apple/coreml/runtime/sdk/ETCoreMLPair.mm
index 078be4aeb1..087144a24c 100644
--- a/backends/apple/coreml/runtime/sdk/ETCoreMLPair.mm
+++ b/backends/apple/coreml/runtime/sdk/ETCoreMLPair.mm
@@ -5,7 +5,7 @@
 //
 // Please refer to the license found in the LICENSE file in the root directory of the source tree.
 
-#import <ETCoreMLPair.h>
+#import "ETCoreMLPair.h"
 
 @implementation ETCoreMLPair
 
diff --git a/backends/apple/coreml/runtime/sdk/model_event_logger_impl.h b/backends/apple/coreml/runtime/sdk/model_event_logger_impl.h
index e88d9754ee..49cb16a2ca 100644
--- a/backends/apple/coreml/runtime/sdk/model_event_logger_impl.h
+++ b/backends/apple/coreml/runtime/sdk/model_event_logger_impl.h
@@ -7,10 +7,10 @@
 
 #pragma once
 
+#import "model_event_logger.h"
 #import <CoreML/CoreML.h>
-#import <model_event_logger.h>
 
-namespace torch::executor {
+namespace executorch::runtime {
 class EventTracer;
 }
 
@@ -21,14 +21,14 @@ namespace executorchcoreml {
 class ModelEventLoggerImpl final : public ModelEventLogger {
 public:
     /// Construct a `ModelEventLoggerImpl` from the `EventTracer`.
-    explicit ModelEventLoggerImpl(torch::executor::EventTracer* tracer) : tracer_(tracer) { }
+    explicit ModelEventLoggerImpl(::executorch::runtime::EventTracer* tracer) : tracer_(tracer) { }
 
     /// Logs profiling infos.
     ///
     /// @param op_path_to_profiling_info_map A dictionary with the operation path as the key and operation's profiling
     /// info as the value.
-    /// @param op_path_to_debug_symbol_name_map A dictionary with the operation path as the key and the symbol name as
-    /// the value. The symbol name is the delegate handle.
+    /// @param op_path_to_debug_symbol_name_map A dictionary with the operation path as the key and the debug symbol
+    /// name as the value.
     void log_profiling_infos(
         NSDictionary<ETCoreMLModelStructurePath*, ETCoreMLOperationProfilingInfo*>* op_path_to_profiling_info_map,
         NSDictionary<ETCoreMLModelStructurePath*, NSString*>* op_path_to_debug_symbol_name_map) const noexcept override;
@@ -37,13 +37,13 @@ class ModelEventLoggerImpl final : public ModelEventLogger {
     ///
     /// @param op_path_to_value_map A dictionary with the operation path as the key and the operation's value as the
     /// value.
-    /// @param op_path_to_debug_symbol_name_map A dictionary with the operation path as the key and the symbol name as
-    /// the value. The symbol name is the delegate handle.
+    /// @param op_path_to_debug_symbol_name_map A dictionary with the operation path as the key and the debug symbol
+    /// name as the value.
     void log_intermediate_tensors(
         NSDictionary<ETCoreMLModelStructurePath*, MLMultiArray*>* op_path_to_value_map,
-        NSDictionary<ETCoreMLModelStructurePath*, NSString*>* op_path_to_debug_symbol_name_map) const noexcept override;
+        NSDictionary<ETCoreMLModelStructurePath*, NSString*>* op_path_to_debug_symbol_map) const noexcept override;
 
 private:
-    torch::executor::EventTracer* tracer_;
+    ::executorch::runtime::EventTracer* tracer_;
 };
 } // namespace executorchcoreml
diff --git a/backends/apple/coreml/runtime/sdk/model_event_logger_impl.mm b/backends/apple/coreml/runtime/sdk/model_event_logger_impl.mm
index f90a8f1a41..1d358583a8 100644
--- a/backends/apple/coreml/runtime/sdk/model_event_logger_impl.mm
+++ b/backends/apple/coreml/runtime/sdk/model_event_logger_impl.mm
@@ -5,13 +5,20 @@
 //
 // Please refer to the license found in the LICENSE file in the root directory of the source tree.
 
-#import <ETCoreMLModelStructurePath.h>
-#import <ETCoreMLOperationProfilingInfo.h>
+#import "model_event_logger_impl.h"
+
+#import "ETCoreMLModelStructurePath.h"
+#import "ETCoreMLOperationProfilingInfo.h"
 #import <executorch/runtime/core/event_tracer.h>
+#import "objc_array_util.h"
 #import <mach/mach_time.h>
-#import <model_event_logger_impl.h>
+#import <numeric>
+#import "MLMultiArray_Copy.h"
 
 namespace {
+
+using namespace torch::executor;
+
 uint64_t time_units_to_nano_seconds(uint64_t time_units) {
     static mach_timebase_info_data_t info;
     static dispatch_once_t onceToken;
@@ -22,6 +29,51 @@ uint64_t time_units_to_nano_seconds(uint64_t time_units) {
     return time_units * info.numer / info.denom;
 }
 
+std::optional<ScalarType> to_scalar_type(MLMultiArrayDataType data_type) {
+    switch (data_type) {
+        case MLMultiArrayDataTypeFloat16: {
+            return ScalarType::Half;
+        }
+        case MLMultiArrayDataTypeFloat32: {
+            return ScalarType::Float;
+        }
+        case MLMultiArrayDataTypeDouble: {
+            return ScalarType::Double;
+        }
+        case MLMultiArrayDataTypeInt32: {
+            return ScalarType::Int;
+        }
+        default: {
+            return std::nullopt;
+        }
+    }
+}
+
+MLMultiArrayDataType get_supported_data_type(MLMultiArrayDataType data_type) {
+    switch (data_type) {
+        case MLMultiArrayDataTypeFloat16: {
+            return MLMultiArrayDataTypeFloat32;
+        }
+        default: {
+            return data_type;
+        }
+    }
+}
+
+bool is_packed(NSArray<NSNumber *> *shape, NSArray<NSNumber *> *strides) {
+    if (shape.count == 0) {
+        return true;
+    }
+    size_t product = 1;
+    for (size_t i = shape.count; i > 0; i--) {
+        if (![strides[i - 1] isEqual:@(product)]) {
+            return false;
+        }
+        product *= shape[i - 1].unsignedLongValue;
+    }
+
+    return true;
+}
 }
 
 namespace executorchcoreml {
@@ -53,7 +105,60 @@ uint64_t time_units_to_nano_seconds(uint64_t time_units) {
 }
 
 void ModelEventLoggerImpl::log_intermediate_tensors(NSDictionary<ETCoreMLModelStructurePath *, MLMultiArray *> *op_path_to_value_map,
-                                                    NSDictionary<ETCoreMLModelStructurePath *, NSString *> *op_path_to_debug_symbol_name_map) const noexcept {
-    //TODO: Implement logging for intermediate tensors once ExecuTorch has support.
+                                                    NSDictionary<ETCoreMLModelStructurePath*, NSString*> *op_path_to_debug_symbol_name_map) const noexcept {
+    [op_path_to_value_map enumerateKeysAndObjectsUsingBlock:^(ETCoreMLModelStructurePath *path,
+                                                              MLMultiArray *intermediate_value,
+                                                              BOOL * _Nonnull __unused stop) {
+        using namespace torch::executor;
+
+        @autoreleasepool {
+            NSString *debug_symbol = op_path_to_debug_symbol_name_map[path];
+            if (debug_symbol == nil) {
+                return;
+            }
+
+            MLMultiArray *value = op_path_to_value_map[path];
+            if (value == nil || value.count == 0) {
+                return;
+            }
+
+            MLMultiArray *supported_value = value;
+            NSArray<NSNumber *> *shape = supported_value.shape; 
+            NSError *local_error = nil;
+            MLMultiArrayDataType data_type = get_supported_data_type(value.dataType);
+
+            if (!is_packed(shape, value.strides) || (supported_value.dataType != data_type)) {
+                supported_value = [[MLMultiArray alloc] initWithShape:shape
+                                                             dataType:data_type
+                                                                 error:&local_error];
+                NSCAssert(supported_value != nil, 
+                          @"ModelEventLoggerImpl: Failed to create packed multiarray with shape=%@, dataType=%ld, error=%@.",
+                          shape,
+                          static_cast<long>(value.dataType),
+                          local_error);
+                [value copyInto:supported_value];
+            }
+
+
+            [supported_value getBytesWithHandler:^(const void * _Nonnull bytes, NSInteger size) {
+                auto sizes = to_vector<TensorImpl::SizesType>(shape);
+                auto strides = to_vector<TensorImpl::StridesType>(supported_value.strides);
+                auto scalar_type = to_scalar_type(data_type);
+                auto dim_order = std::vector<TensorImpl::DimOrderType>(shape.count);
+                std::iota(std::begin(dim_order), std::end(dim_order), 0);
+
+                NSCAssert(scalar_type.has_value(), @"ModelEventLoggerImpl: MultiArray dataType=%ld is not supported.", static_cast<long>(data_type));
+                auto tensor_impl = TensorImpl(
+                    scalar_type.value(),
+                    static_cast<ssize_t>(sizes.size()),
+                    sizes.data(),
+                    const_cast<void *>(bytes),
+                    dim_order.data(),
+                    strides.data());
+                auto tensor = Tensor(&tensor_impl);
+                tracer_->log_intermediate_output_delegate(debug_symbol.UTF8String, -1, tensor);
+            }];
+        }
+    }];
 }
 } // namespace executorchcoreml
diff --git a/backends/apple/coreml/runtime/sdk/model_package_info.h b/backends/apple/coreml/runtime/sdk/model_package_info.h
index f694a62305..51978002a4 100644
--- a/backends/apple/coreml/runtime/sdk/model_package_info.h
+++ b/backends/apple/coreml/runtime/sdk/model_package_info.h
@@ -9,7 +9,7 @@
 
 #import <Foundation/Foundation.h>
 
-#import <serde_json.h>
+#import "serde_json.h"
 #import <string>
 #import <unordered_map>
 
diff --git a/backends/apple/coreml/runtime/sdk/model_package_info.mm b/backends/apple/coreml/runtime/sdk/model_package_info.mm
index 5e52974b41..b7b26178fd 100644
--- a/backends/apple/coreml/runtime/sdk/model_package_info.mm
+++ b/backends/apple/coreml/runtime/sdk/model_package_info.mm
@@ -7,9 +7,9 @@
 
 #import "model_package_info.h"
 
-#import <ETCoreMLLogging.h>
-#import <objc_json_serde.h>
-#import <serde_json.h>
+#import "ETCoreMLLogging.h"
+#import "objc_json_serde.h"
+#import "serde_json.h"
 
 namespace  {
 struct ModelPackageInfoKeys {
diff --git a/backends/apple/coreml/runtime/test/CoreMLBackendDelegateTests.mm b/backends/apple/coreml/runtime/test/CoreMLBackendDelegateTests.mm
index 04458e6502..691d4d726e 100644
--- a/backends/apple/coreml/runtime/test/CoreMLBackendDelegateTests.mm
+++ b/backends/apple/coreml/runtime/test/CoreMLBackendDelegateTests.mm
@@ -13,6 +13,8 @@
 #import <executorch/runtime/platform/runtime.h>
 #import <string>
 
+#import "MLModel_Prewarm.h"
+
 static constexpr size_t kRuntimeMemorySize = 50 * 1024U * 1024U; // 50 MB
 
 using namespace torch::executor;
@@ -25,14 +27,14 @@
     return [NSData dataWithContentsOfURL:url];
 }
 
-class DataLoaderImpl: public DataLoader {
+class DataLoaderImpl final : public DataLoader {
 public:
     DataLoaderImpl(std::string filePath)
     :data_(read_data(filePath))
     {}
 
     Result<FreeableBuffer> load(
-        size_t offset, size_t size, __ET_UNUSED const DataLoader::SegmentInfo& segment_info) override {
+        size_t offset, size_t size, ET_UNUSED const DataLoader::SegmentInfo& segment_info) const override {
         NSData *subdata = [data_ subdataWithRange:NSMakeRange(offset, size)];
         return FreeableBuffer(subdata.bytes, size, nullptr);
     }
@@ -42,7 +44,7 @@
     }
 
 private:
-   NSData *data_;
+   NSData * const data_;
 };
 
 using Buffer = std::vector<uint8_t>;
@@ -184,20 +186,28 @@ - (void)executeModelAtURL:(NSURL *)modelURL nLoads:(NSUInteger)nLoads nExecution
 - (void)testAddProgramExecute {
     NSURL *modelURL = [[self class] bundledResourceWithName:@"add_coreml_all" extension:@"pte"];
     XCTAssertNotNil(modelURL);
-    [self executeModelAtURL:modelURL nLoads:5 nExecutions:2];
+    [self executeModelAtURL:modelURL nLoads:1 nExecutions:2];
 }
 
 - (void)testMulProgramExecute {
     NSURL *modelURL = [[self class] bundledResourceWithName:@"mul_coreml_all" extension:@"pte"];
     XCTAssertNotNil(modelURL);
-    [self executeModelAtURL:modelURL nLoads:5 nExecutions:2];
+    [self executeModelAtURL:modelURL nLoads:1 nExecutions:2];
 }
 
 - (void)testMV3ProgramExecute {
     NSURL *modelURL = [[self class] bundledResourceWithName:@"mv3_coreml_all" extension:@"pte"];
     XCTAssertNotNil(modelURL);
-    [self executeModelAtURL:modelURL nLoads:5 nExecutions:2];
+    [self executeModelAtURL:modelURL nLoads:1 nExecutions:2];
+}
+
+#if MODEL_STATE_IS_SUPPORTED
+- (void)testStateProgramExecute {
+    NSURL *modelURL = [[self class] bundledResourceWithName:@"state_coreml_all" extension:@"pte"];
+    XCTAssertNotNil(modelURL);
+    [self executeModelAtURL:modelURL nLoads:1 nExecutions:2];
 }
+#endif
 
 - (void)executeMultipleModelsConcurrently:(NSArray<NSURL *> *)modelURLs
                                    nLoads:(NSUInteger)nLoads
diff --git a/backends/apple/coreml/runtime/test/ETCoreMLModelDebuggerTests.mm b/backends/apple/coreml/runtime/test/ETCoreMLModelDebuggerTests.mm
index 95c84ab674..2464ec8dbb 100644
--- a/backends/apple/coreml/runtime/test/ETCoreMLModelDebuggerTests.mm
+++ b/backends/apple/coreml/runtime/test/ETCoreMLModelDebuggerTests.mm
@@ -16,41 +16,53 @@
 #import <model_logging_options.h>
 
 namespace  {
-    using namespace executorchcoreml::modelstructure;
-    
-    using NotifyFn = std::function<void(NSDictionary<ETCoreMLModelStructurePath *, MLMultiArray *> *op_path_to_value_map,
-                                        NSDictionary<ETCoreMLModelStructurePath *, NSString *> *op_path_to_debug_symbol_name_map)>;
-    
-    class ModelProfilingEventLoggerImpl: public executorchcoreml::ModelEventLogger {
-    public:
-        explicit ModelProfilingEventLoggerImpl(NotifyFn fn)
-        :fn_(fn)
-        {}
-        
-        void log_profiling_infos(NSDictionary<ETCoreMLModelStructurePath *, ETCoreMLOperationProfilingInfo *> *op_path_to_profiling_info_map,
-                                 NSDictionary<ETCoreMLModelStructurePath *, NSString *> *op_path_to_debug_symbol_name_map) const noexcept {}
-        
-        void log_intermediate_tensors(NSDictionary<ETCoreMLModelStructurePath *, MLMultiArray *> *op_path_to_value_map,
-                                      NSDictionary<ETCoreMLModelStructurePath *, NSString *> *op_path_to_debug_symbol_name_map) const noexcept {
-            fn_(op_path_to_value_map, op_path_to_debug_symbol_name_map);
+using namespace executorchcoreml::modelstructure;
+
+using NotifyFn = std::function<void(NSDictionary<ETCoreMLModelStructurePath *, MLMultiArray *> *op_path_to_value_map,
+                                    NSDictionary<ETCoreMLModelStructurePath *, NSString *> *op_path_to_debug_symbol_name_map)>;
+
+class ModelEventLoggerImpl: public executorchcoreml::ModelEventLogger {
+public:
+    explicit ModelEventLoggerImpl(NotifyFn fn)
+    :fn_(fn)
+    {}
+
+    void log_profiling_infos(NSDictionary<ETCoreMLModelStructurePath *, ETCoreMLOperationProfilingInfo *> *op_path_to_profiling_info_map,
+                             NSDictionary<ETCoreMLModelStructurePath *, NSString *> *op_path_to_debug_symbol_name_map) const noexcept {}
+
+    void log_intermediate_tensors(NSDictionary<ETCoreMLModelStructurePath *, MLMultiArray *> *op_path_to_value_map,
+                                  NSDictionary<ETCoreMLModelStructurePath *, NSString *> *op_path_to_debug_symbol_map) const noexcept {
+        fn_(op_path_to_value_map, op_path_to_debug_symbol_map);
+    }
+
+private:
+    NotifyFn fn_;
+};
+
+ETCoreMLModelStructurePath *make_path_with_output_name(const std::string& output_name,
+                                                       const std::string& function_name = "main") {
+    Path path;
+    path.append_component(Path::Program());
+    path.append_component(Path::Program::Function(function_name));
+    path.append_component(Path::Program::Block(-1));
+    path.append_component(Path::Program::Operation(output_name));
+
+    return [[ETCoreMLModelStructurePath alloc] initWithUnderlyingValue:std::move(path)];
+}
+
+void add_debugging_result(NSDictionary<ETCoreMLModelStructurePath *, MLMultiArray *> *debugging_result,
+                          NSDictionary<ETCoreMLModelStructurePath *, NSString *> *path_to_symbol_name_map,
+                          NSMutableDictionary<ETCoreMLModelStructurePath *, MLMultiArray *> *debugging_results) {
+    for (ETCoreMLModelStructurePath *path in debugging_result) {
+        NSString *debug_symbol = path_to_symbol_name_map[path];
+        if (debug_symbol) {
+            debugging_results[path] = debugging_result[path];
         }
-        
-    private:
-        NotifyFn fn_;
-    };
-    
-    ETCoreMLModelStructurePath *make_path_with_output_name(const std::string& output_name,
-                                                           const std::string& function_name = "main") {
-        Path path;
-        path.append_component(Path::Program());
-        path.append_component(Path::Program::Function(function_name));
-        path.append_component(Path::Program::Block(-1));
-        path.append_component(Path::Program::Operation(output_name));
-        
-        return [[ETCoreMLModelStructurePath alloc] initWithUnderlyingValue:std::move(path)];
     }
 }
 
+}
+
 @interface ETCoreMLModelDebuggerTests : XCTestCase
 
 @end
@@ -87,8 +99,8 @@ - (void)debugModelWithName:(NSString *)modelName
         MLPredictionOptions *predictionOptions = [[MLPredictionOptions alloc] init];
         executorchcoreml::ModelLoggingOptions loggingOptions;
         loggingOptions.log_intermediate_tensors = true;
-        ModelProfilingEventLoggerImpl eventLogger(notify);
-        
+        ModelEventLoggerImpl eventLogger(notify);
+
         NSArray<MLMultiArray *> *outputs = [analyzer executeModelWithInputs:inputs
                                                           predictionOptions:predictionOptions
                                                              loggingOptions:loggingOptions
@@ -125,21 +137,39 @@ - (void)testMulProgramDebugging {
 }
 
 - (void)testMV3ProgramDebugging {
-    XCTSkip(@"There is a device specialization issue when getting on of the outputs, will fix after investigation.");
-    NotifyFn notify = [](NSDictionary<ETCoreMLModelStructurePath *, MLMultiArray *> *debuggingResult,
-                         NSDictionary<ETCoreMLModelStructurePath *, NSString *> *pathToSymbolNameMap) {
-        // There are more than 200 ops, we verify the outputs for specific ops.
-        XCTAssertNotNil(debuggingResult[make_path_with_output_name("aten__native_batch_norm_legit_no_training_default_13_cast_fp16")]);
-        XCTAssertNotNil(debuggingResult[make_path_with_output_name("_inversed_aten_div_tensor_24_cast_fp16")]);
-        XCTAssertNotNil(debuggingResult[make_path_with_output_name("aten_mean_dim_7_cast_fp16")]);
-        XCTAssertNotNil(debuggingResult[make_path_with_output_name("aten_clamp_default_54_cast_fp16")]);
-        XCTAssertNotNil(debuggingResult[make_path_with_output_name("aten__native_batch_norm_legit_no_training_default_22_cast_fp16")]);
-        XCTAssertNotNil(debuggingResult[make_path_with_output_name("aten_mul_tensor_27_cast_fp16")]);
+    NSMutableDictionary<ETCoreMLModelStructurePath *, MLMultiArray *> *debuggingResults = [NSMutableDictionary new];
+    NotifyFn notify = [debuggingResults](NSDictionary<ETCoreMLModelStructurePath *, MLMultiArray *> *debuggingResult,
+                                         NSDictionary<ETCoreMLModelStructurePath *, NSString *> *pathToSymbolNameMap) mutable {
+        add_debugging_result(debuggingResult, pathToSymbolNameMap, debuggingResults);
     };
     
     [self debugModelWithName:@"mv3_coreml_all"
          repeatedInputValues:@[@(1), @(2)]
                       notify:notify];
+
+    // There are more than 200 ops, we verify the outputs for specific ops.
+    XCTAssertNotNil(debuggingResults[make_path_with_output_name("aten__native_batch_norm_legit_no_training_default_13_cast_fp16")]);
+    XCTAssertNotNil(debuggingResults[make_path_with_output_name("_inversed_aten_div_tensor_24_cast_fp16")]);
+    XCTAssertNotNil(debuggingResults[make_path_with_output_name("aten_mean_dim_7_cast_fp16")]);
+    XCTAssertNotNil(debuggingResults[make_path_with_output_name("aten_clamp_default_54_cast_fp16")]);
+    XCTAssertNotNil(debuggingResults[make_path_with_output_name("aten__native_batch_norm_legit_no_training_default_22_cast_fp16")]);
+    XCTAssertNotNil(debuggingResults[make_path_with_output_name("aten_mul_tensor_27_cast_fp16")]);
+}
+
+- (void)testAddMulProgramDebugging {
+    NSMutableDictionary<ETCoreMLModelStructurePath *, MLMultiArray *> *debuggingResults = [NSMutableDictionary new];
+    NotifyFn notify = [debuggingResults](NSDictionary<ETCoreMLModelStructurePath *, MLMultiArray *> *debuggingResult,
+                                         NSDictionary<ETCoreMLModelStructurePath *, NSString *> *pathToSymbolNameMap) mutable {
+        add_debugging_result(debuggingResult, pathToSymbolNameMap, debuggingResults);
+    };
+
+    [self debugModelWithName:@"add_mul_coreml_all"
+         repeatedInputValues:@[@(1), @(2)]
+                      notify:notify];
+
+    // There are more than 200 ops, we verify the outputs for specific ops.
+    XCTAssertNotNil(debuggingResults[make_path_with_output_name("aten_add_tensor")]);
+    XCTAssertNotNil(debuggingResults[make_path_with_output_name("aten_mm_default_cast_fp16")]);
 }
 
 @end
diff --git a/backends/apple/coreml/runtime/test/ETCoreMLTestUtils.mm b/backends/apple/coreml/runtime/test/ETCoreMLTestUtils.mm
index 72ad71adc9..3c0908201a 100644
--- a/backends/apple/coreml/runtime/test/ETCoreMLTestUtils.mm
+++ b/backends/apple/coreml/runtime/test/ETCoreMLTestUtils.mm
@@ -8,16 +8,17 @@
 
 #import "ETCoreMLTestUtils.h"
 
-#import <ETCoreMLAsset.h>
-#import <ETCoreMLLogging.h>
-#import <ETCoreMLModelAnalyzer.h>
-#import <ETCoreMLModelCompiler.h>
-#import <ETCoreMLStrings.h>
+#import "ETCoreMLAsset.h"
+#import "ETCoreMLLogging.h"
+#import "ETCoreMLModelDebugInfo.h"
+#import "ETCoreMLModelAnalyzer.h"
+#import "ETCoreMLModelCompiler.h"
+#import "ETCoreMLStrings.h"
 #import <filesystem>
-#import <inmemory_filesystem_utils.hpp>
+#import "inmemory_filesystem_utils.hpp"
 #import <iostream>
 #import <memory>
-#import <model_metadata.h>
+#import "model_metadata.h"
 
 namespace {
 NSURL * _Nullable create_directory_if_needed(NSURL *url,
@@ -239,6 +240,7 @@ + (nullable MLMultiArray *)filledMultiArrayWithConstraint:(MLMultiArrayConstrain
 
 + (BOOL)extractModelAssetAndMetadataFromAOTData:(NSData *)data
                                      modelAsset:(ETCoreMLAsset *_Nullable __autoreleasing *_Nonnull)modelAsset
+                                 modelDebugInfo:(ETCoreMLModelDebugInfo *_Nullable __autoreleasing *_Nonnull)modelDebugInfo
                                        metadata:(executorchcoreml::ModelMetadata&)metadata
                                          dstURL:(NSURL *)dstURL
                                     fileManager:(NSFileManager *)fileManager
@@ -295,18 +297,35 @@ + (BOOL)extractModelAssetAndMetadataFromAOTData:(NSData *)data
     if (modelAsset) {
         *modelAsset = localAsset;
     }
-    
+
+    __block auto debugInfoBuffer = inMemoryFS->get_file_content({ETCoreMLStrings.debugInfoFileRelativePath.UTF8String}, ec);
+    if (debugInfoBuffer && debugInfoBuffer->size() > 0) {
+
+        NSData *data = [[NSData alloc] initWithBytesNoCopy:debugInfoBuffer->data()
+                                                    length:debugInfoBuffer->size()
+                                               deallocator:^(void * _Nonnull __unused bytes, NSUInteger __unused length) {
+            debugInfoBuffer.reset();
+        }];
+
+        ETCoreMLModelDebugInfo *lModelDebugInfo = [ETCoreMLModelDebugInfo modelDebugInfoFromData:data error:nil];
+        if (modelDebugInfo) {
+            *modelDebugInfo = lModelDebugInfo;
+        }
+    }
+
     return YES;
 }
 
 + (ETCoreMLModelAnalyzer *)createAnalyzerWithAOTData:(NSData *)data
-                                             dstURL:(NSURL *)dstURL
-                                              error:(NSError * __autoreleasing *)error {
+                                              dstURL:(NSURL *)dstURL
+                                               error:(NSError * __autoreleasing *)error {
     ETCoreMLAsset *modelAsset = nil;
+    ETCoreMLModelDebugInfo *modelDebugInfo = nil;
     executorchcoreml::ModelMetadata metadata;
     NSFileManager *fileManager = [[NSFileManager alloc] init];
     if (![self extractModelAssetAndMetadataFromAOTData:data
                                             modelAsset:&modelAsset
+                                        modelDebugInfo:&modelDebugInfo
                                               metadata:metadata
                                                 dstURL:dstURL
                                            fileManager:fileManager
@@ -343,12 +362,12 @@ + (ETCoreMLModelAnalyzer *)createAnalyzerWithAOTData:(NSData *)data
     MLModelConfiguration *configuration = [[MLModelConfiguration alloc] init];
     ETCoreMLModelAnalyzer *analyzer = [[ETCoreMLModelAnalyzer alloc] initWithCompiledModelAsset:compiledModelAsset
                                                                                      modelAsset:modelAsset
+                                                                                 modelDebugInfo:modelDebugInfo
                                                                                        metadata:metadata
-                                                                  operationPathToDebugSymbolMap:nil
                                                                                   configuration:configuration
                                                                                    assetManager:assetManager
                                                                                           error:error];
-    
+
     return analyzer;
 }
 
diff --git a/backends/apple/coreml/runtime/test/export_stateful_model.py b/backends/apple/coreml/runtime/test/export_stateful_model.py
new file mode 100644
index 0000000000..61d1a93980
--- /dev/null
+++ b/backends/apple/coreml/runtime/test/export_stateful_model.py
@@ -0,0 +1,77 @@
+# Copyright © 2024 Apple Inc. All rights reserved.
+#
+# Please refer to the license found in the LICENSE file in the root directory of the source tree.
+
+import os
+from pathlib import Path
+
+import coremltools as ct
+import executorch.exir as exir
+
+import torch
+
+from executorch.backends.apple.coreml.compiler import CoreMLBackend
+from executorch.backends.apple.coreml.partition import CoreMLPartitioner
+from torch.export import export
+
+
+class StatefulModel(torch.nn.Module):
+    def __init__(
+        self,
+        embedding_dim: int,
+        max_seq_len: int,
+    ):
+        super().__init__()
+        self.register_buffer(
+            "cache", torch.zeros((max_seq_len, embedding_dim), dtype=torch.float32)
+        )
+
+    def forward(
+        self,
+        q: torch.Tensor,
+        k_val: torch.Tensor,
+        input_pos: torch.Tensor,
+    ):
+        q_T = q.transpose(0, 1)
+        k = torch.ops.aten.index_put_(self.cache, [input_pos, None], k_val)
+        attn = k.mm(q_T)
+        return attn
+
+
+def main() -> None:
+    embedding_dim = 3
+    max_seq_len = 2
+    model = StatefulModel(embedding_dim=embedding_dim, max_seq_len=max_seq_len)
+    example_inputs = (
+        torch.randn((1, embedding_dim)),
+        torch.randn((1, embedding_dim)),
+        torch.tensor([0]),
+    )
+    exported_model = export(model, example_inputs)
+    edge_program_manager = exir.to_edge(exported_model)
+    compile_specs = CoreMLBackend.generate_compile_specs(
+        compute_precision=ct.precision.FLOAT16,
+        compute_unit=ct.ComputeUnit.ALL,
+        minimum_deployment_target=ct.target.iOS18,
+    )
+
+    partitioner = CoreMLPartitioner(
+        skip_ops_for_coreml_delegation=None,
+        compile_specs=compile_specs,
+    )
+
+    delegated_program_manager = edge_program_manager.to_backend(partitioner)
+    exec_program = delegated_program_manager.to_executorch(
+        config=exir.ExecutorchBackendConfig(extract_delegate_segments=True)
+    )
+
+    buffer = exec_program.buffer
+    models_dir = Path(os.path.dirname(os.path.realpath(__file__))) / "models"
+    models_dir.mkdir(parents=False, exist_ok=True)
+    file_path = models_dir / "state_coreml_all.pte"
+    with open(file_path.resolve(), "wb") as file:
+        file.write(buffer)
+
+
+if __name__ == "__main__":
+    main()  # pragma: no cover
diff --git a/backends/apple/coreml/runtime/util/objc_array_util.h b/backends/apple/coreml/runtime/util/objc_array_util.h
index 5f4c8c7bc2..b3446a2288 100644
--- a/backends/apple/coreml/runtime/util/objc_array_util.h
+++ b/backends/apple/coreml/runtime/util/objc_array_util.h
@@ -18,6 +18,8 @@ template <> inline size_t to_value(NSNumber* value) { return value.unsignedLongV
 
 template <> inline ssize_t to_value(NSNumber* value) { return value.longLongValue; }
 
+template <> inline int to_value(NSNumber* value) { return value.intValue; }
+
 template <typename T, typename = typename std::enable_if<std::is_arithmetic<T>::value, T>::type>
 inline NSArray<NSNumber*>* to_array(const std::vector<T>& array) {
     NSMutableArray<NSNumber*>* result = [NSMutableArray arrayWithCapacity:array.size()];
diff --git a/backends/apple/coreml/runtime/workspace/executorchcoreml.xcodeproj/project.pbxproj b/backends/apple/coreml/runtime/workspace/executorchcoreml.xcodeproj/project.pbxproj
index d8a5e61107..2daa5615ba 100644
--- a/backends/apple/coreml/runtime/workspace/executorchcoreml.xcodeproj/project.pbxproj
+++ b/backends/apple/coreml/runtime/workspace/executorchcoreml.xcodeproj/project.pbxproj
@@ -7,6 +7,10 @@
 	objects = {
 
 /* Begin PBXBuildFile section */
+		8307EB8A2C9262060011AE6D /* state_coreml_all.pte in Resources */ = {isa = PBXBuildFile; fileRef = 8307EB892C9262060011AE6D /* state_coreml_all.pte */; };
+		83BB78A02C65DA7300274ED7 /* ETCoreMLModelDebugInfo.mm in Sources */ = {isa = PBXBuildFile; fileRef = 83BB789F2C65DA7300274ED7 /* ETCoreMLModelDebugInfo.mm */; };
+		83BB78BF2C66AAAE00274ED7 /* add_mul_coreml_all.bin in Resources */ = {isa = PBXBuildFile; fileRef = 83BB78BD2C66AAAE00274ED7 /* add_mul_coreml_all.bin */; };
+		83BB78C02C66AAAE00274ED7 /* add_mul_coreml_all.pte in Resources */ = {isa = PBXBuildFile; fileRef = 83BB78BE2C66AAAE00274ED7 /* add_mul_coreml_all.pte */; };
 		C945E8E02B997ECE009C3FAC /* ETCoreMLModelProfiler.mm in Sources */ = {isa = PBXBuildFile; fileRef = C945E8CF2B997ECD009C3FAC /* ETCoreMLModelProfiler.mm */; };
 		C945E8E12B997ECE009C3FAC /* ETCoreMLModelAnalyzer.mm in Sources */ = {isa = PBXBuildFile; fileRef = C945E8D42B997ECD009C3FAC /* ETCoreMLModelAnalyzer.mm */; };
 		C945E8E22B997ECE009C3FAC /* program_path.mm in Sources */ = {isa = PBXBuildFile; fileRef = C945E8D52B997ECD009C3FAC /* program_path.mm */; };
@@ -100,8 +104,8 @@
 		C9E7D7952AB3F9BF00CCAE5D /* ETCoreMLModelManagerTests.mm in Sources */ = {isa = PBXBuildFile; fileRef = C9E7D78D2AB3F9BF00CCAE5D /* ETCoreMLModelManagerTests.mm */; };
 		C9E7D7962AB3F9BF00CCAE5D /* KeyValueStoreTests.mm in Sources */ = {isa = PBXBuildFile; fileRef = C9E7D78E2AB3F9BF00CCAE5D /* KeyValueStoreTests.mm */; };
 		C9E7D7A22AB3FBB200CCAE5D /* CoreMLBackendDelegateTests.mm in Sources */ = {isa = PBXBuildFile; fileRef = C9E7D7A12AB3FBB200CCAE5D /* CoreMLBackendDelegateTests.mm */; };
-		F24817E52BC655E100E80D98 /* libexecutorch_no_prim_ops.a in Frameworks */ = {isa = PBXBuildFile; fileRef = F24817E42BC655E100E80D98 /* libexecutorch_no_prim_ops.a */; };
 		C9EC7E1B2BC73B3200A6B166 /* MultiArrayTests.mm in Sources */ = {isa = PBXBuildFile; fileRef = C9EC7E1A2BC73B3200A6B166 /* MultiArrayTests.mm */; };
+		F24817E52BC655E100E80D98 /* libexecutorch_no_prim_ops.a in Frameworks */ = {isa = PBXBuildFile; fileRef = F24817E42BC655E100E80D98 /* libexecutorch_no_prim_ops.a */; };
 /* End PBXBuildFile section */
 
 /* Begin PBXCopyFilesBuildPhase section */
@@ -117,6 +121,11 @@
 /* End PBXCopyFilesBuildPhase section */
 
 /* Begin PBXFileReference section */
+		8307EB892C9262060011AE6D /* state_coreml_all.pte */ = {isa = PBXFileReference; lastKnownFileType = file; name = state_coreml_all.pte; path = ../test/models/state_coreml_all.pte; sourceTree = "<group>"; };
+		83BB789E2C65DA7300274ED7 /* ETCoreMLModelDebugInfo.h */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.c.h; name = ETCoreMLModelDebugInfo.h; path = ../sdk/ETCoreMLModelDebugInfo.h; sourceTree = "<group>"; };
+		83BB789F2C65DA7300274ED7 /* ETCoreMLModelDebugInfo.mm */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.cpp.objcpp; name = ETCoreMLModelDebugInfo.mm; path = ../sdk/ETCoreMLModelDebugInfo.mm; sourceTree = "<group>"; };
+		83BB78BD2C66AAAE00274ED7 /* add_mul_coreml_all.bin */ = {isa = PBXFileReference; lastKnownFileType = archive.macbinary; name = add_mul_coreml_all.bin; path = ../test/models/add_mul_coreml_all.bin; sourceTree = "<group>"; };
+		83BB78BE2C66AAAE00274ED7 /* add_mul_coreml_all.pte */ = {isa = PBXFileReference; lastKnownFileType = file; name = add_mul_coreml_all.pte; path = ../test/models/add_mul_coreml_all.pte; sourceTree = "<group>"; };
 		C945E8CD2B997ECD009C3FAC /* ETCoreMLModelProfiler.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; name = ETCoreMLModelProfiler.h; path = ../sdk/ETCoreMLModelProfiler.h; sourceTree = "<group>"; };
 		C945E8CE2B997ECD009C3FAC /* ETCoreMLModelAnalyzer.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; name = ETCoreMLModelAnalyzer.h; path = ../sdk/ETCoreMLModelAnalyzer.h; sourceTree = "<group>"; };
 		C945E8CF2B997ECD009C3FAC /* ETCoreMLModelProfiler.mm */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.cpp.objcpp; name = ETCoreMLModelProfiler.mm; path = ../sdk/ETCoreMLModelProfiler.mm; sourceTree = "<group>"; };
@@ -299,9 +308,9 @@
 		C9EA3DB22B71A2B200B7D7BD /* CoreML.framework */ = {isa = PBXFileReference; lastKnownFileType = wrapper.framework; name = CoreML.framework; path = System/Library/Frameworks/CoreML.framework; sourceTree = SDKROOT; };
 		C9EA3FDE2B73EEA000B7D7BD /* libsqlite3.tbd */ = {isa = PBXFileReference; lastKnownFileType = "sourcecode.text-based-dylib-definition"; name = libsqlite3.tbd; path = usr/lib/libsqlite3.tbd; sourceTree = SDKROOT; };
 		C9EA3FE52B73EF6300B7D7BD /* Accelerate.framework */ = {isa = PBXFileReference; lastKnownFileType = wrapper.framework; name = Accelerate.framework; path = System/Library/Frameworks/Accelerate.framework; sourceTree = SDKROOT; };
-		F24817E42BC655E100E80D98 /* libexecutorch_no_prim_ops.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libexecutorch_no_prim_ops.a; path = ../libraries/libexecutorch_no_prim_ops.a; sourceTree = "<group>"; };
 		C9EC7E092BC662A300A6B166 /* objc_array_util.h */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.c.h; name = objc_array_util.h; path = ../util/objc_array_util.h; sourceTree = "<group>"; };
 		C9EC7E1A2BC73B3200A6B166 /* MultiArrayTests.mm */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.cpp.objcpp; name = MultiArrayTests.mm; path = ../test/MultiArrayTests.mm; sourceTree = "<group>"; };
+		F24817E42BC655E100E80D98 /* libexecutorch_no_prim_ops.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libexecutorch_no_prim_ops.a; path = ../libraries/libexecutorch_no_prim_ops.a; sourceTree = "<group>"; };
 /* End PBXFileReference section */
 
 /* Begin PBXFrameworksBuildPhase section */
@@ -329,6 +338,8 @@
 				C945E8D42B997ECD009C3FAC /* ETCoreMLModelAnalyzer.mm */,
 				C945E8D32B997ECD009C3FAC /* ETCoreMLModelDebugger.h */,
 				C945E8DF2B997ECE009C3FAC /* ETCoreMLModelDebugger.mm */,
+				83BB789E2C65DA7300274ED7 /* ETCoreMLModelDebugInfo.h */,
+				83BB789F2C65DA7300274ED7 /* ETCoreMLModelDebugInfo.mm */,
 				C945E8CD2B997ECD009C3FAC /* ETCoreMLModelProfiler.h */,
 				C945E8CF2B997ECD009C3FAC /* ETCoreMLModelProfiler.mm */,
 				C945E8D02B997ECD009C3FAC /* ETCoreMLModelStructurePath.h */,
@@ -596,6 +607,9 @@
 				C985519C2AD2542D009143F9 /* mul_coreml_all.pte */,
 				C985519B2AD2542D009143F9 /* mv3_coreml_all.bin */,
 				C98551982AD2542D009143F9 /* mv3_coreml_all.pte */,
+				83BB78BD2C66AAAE00274ED7 /* add_mul_coreml_all.bin */,
+				83BB78BE2C66AAAE00274ED7 /* add_mul_coreml_all.pte */,
+				8307EB892C9262060011AE6D /* state_coreml_all.pte */,
 			);
 			name = models;
 			sourceTree = "<group>";
@@ -661,9 +675,12 @@
 			files = (
 				C98551A12AD2542D009143F9 /* mv3_coreml_all.bin in Resources */,
 				C985519F2AD2542D009143F9 /* mul_coreml_all.bin in Resources */,
+				83BB78BF2C66AAAE00274ED7 /* add_mul_coreml_all.bin in Resources */,
+				83BB78C02C66AAAE00274ED7 /* add_mul_coreml_all.pte in Resources */,
 				C985519E2AD2542D009143F9 /* mv3_coreml_all.pte in Resources */,
 				C98551A02AD2542D009143F9 /* add_coreml_all.bin in Resources */,
 				C98551A22AD2542D009143F9 /* mul_coreml_all.pte in Resources */,
+				8307EB8A2C9262060011AE6D /* state_coreml_all.pte in Resources */,
 				C98551A32AD2542D009143F9 /* add_coreml_all.pte in Resources */,
 			);
 			runOnlyForDeploymentPostprocessing = 0;
@@ -695,6 +712,7 @@
 				C94D51042ABDF84100AF47FD /* ETCoreMLStrings.mm in Sources */,
 				C9E7D7932AB3F9BF00CCAE5D /* ETCoreMLAssetManagerTests.mm in Sources */,
 				C945E8E42B997ECE009C3FAC /* model_event_logger_impl.mm in Sources */,
+				83BB78A02C65DA7300274ED7 /* ETCoreMLModelDebugInfo.mm in Sources */,
 				C945E9472B997EEE009C3FAC /* SoundAnalysisPreprocessing.pb.cc in Sources */,
 				C97716B52AEA21B600FC0DAC /* inmemory_filesystem_utils.mm in Sources */,
 				C9E7D7922AB3F9BF00CCAE5D /* DatabaseTests.mm in Sources */,
diff --git a/backends/apple/coreml/scripts/generate_test_models.sh b/backends/apple/coreml/scripts/generate_test_models.sh
index 7beca63726..0c1822aa82 100755
--- a/backends/apple/coreml/scripts/generate_test_models.sh
+++ b/backends/apple/coreml/scripts/generate_test_models.sh
@@ -17,14 +17,17 @@ cd "$EXECUTORCH_ROOT_PATH"
 
 mkdir "$COREML_DIR_PATH/runtime/test/models/"
 #Generate models
-echo "Executorch: Generating test models"
 cd "$EXECUTORCH_ROOT_PATH"
 
-MODELS=("add" "mul" "mv3")
+MODELS=("add" "add_mul" "mul" "mv3")
 for MODEL in "${MODELS[@]}"
 do
+  echo "Executorch: Generating $MODEL model" 
   # TODO: Don't use the script in examples directory.
   python3 -m examples.apple.coreml.scripts.export --model_name "$MODEL" --save_processed_bytes
   mv -f "$MODEL""_coreml_all.pte" "$COREML_DIR_PATH/runtime/test/models"
   mv -f "$MODEL""_coreml_all.bin" "$COREML_DIR_PATH/runtime/test/models"
 done
+
+echo "Executorch: Generating stateful model"
+python3 "$SCRIPT_DIR_PATH/../runtime/test/export_stateful_model.py"
diff --git a/backends/apple/coreml/scripts/install_requirements.sh b/backends/apple/coreml/scripts/install_requirements.sh
index 0018b5ffc2..b3ea0d77ca 100755
--- a/backends/apple/coreml/scripts/install_requirements.sh
+++ b/backends/apple/coreml/scripts/install_requirements.sh
@@ -24,7 +24,7 @@ rm -rf "$COREML_DIR_PATH/third-party"
 mkdir "$COREML_DIR_PATH/third-party"
 
 echo "${green}ExecuTorch: Cloning coremltools."
-git clone --depth 1 --branch 8.0b1 "https://github.com/apple/coremltools.git" $COREMLTOOLS_DIR_PATH
+git clone --depth 1 --branch 8.0 "https://github.com/apple/coremltools.git" $COREMLTOOLS_DIR_PATH
 cd $COREMLTOOLS_DIR_PATH
 
 STATUS=$?
@@ -47,6 +47,11 @@ cmake --build "$COREMLTOOLS_DIR_PATH/build" --parallel
 
 echo "${green}ExecuTorch: Installing coremltools."
 pip install "$COREMLTOOLS_DIR_PATH"
+# CoreMLTools have started supporting numpy 2.0,
+# but ExecuTorch example model test env is still using older transformers,
+# so for now we will need to downgrade numpy to 1.x
+# TODO: Remove this numpy downgrade once later transformers starts to be used
+pip install numpy==1.26.4
 STATUS=$?
 if [ $STATUS -ne 0 ]; then
     echo "${red}ExecuTorch: Failed to install coremltools."
diff --git a/backends/apple/coreml/setup.md b/backends/apple/coreml/setup.md
index 4e66544f7b..0efd9bbcc2 100644
--- a/backends/apple/coreml/setup.md
+++ b/backends/apple/coreml/setup.md
@@ -50,7 +50,7 @@ xcode-select --install
 
 ```bash
 cd executorch
-./build/build_apple_frameworks.sh --Release --coreml
+./build/build_apple_frameworks.sh --coreml
 ```
 5. Open the project in Xcode, and drag `executorch.xcframework` and `coreml_backend.xcframework` frameworks generated from Step 2 to Frameworks.
 
diff --git a/backends/apple/coreml/test/test_coreml_partitioner.py b/backends/apple/coreml/test/test_coreml_partitioner.py
index 45c468e450..72a7fbf093 100644
--- a/backends/apple/coreml/test/test_coreml_partitioner.py
+++ b/backends/apple/coreml/test/test_coreml_partitioner.py
@@ -4,11 +4,14 @@
 
 import unittest
 
+import coremltools as ct
+
 import executorch.exir
 
 import torch
 import torchvision
 
+from executorch.backends.apple.coreml.compiler import CoreMLBackend
 from executorch.backends.apple.coreml.partition import CoreMLPartitioner
 
 
@@ -68,12 +71,65 @@ def test_vit_skip_conv(self):
             )
         )
 
+        conv_block = ["aten.convolution.default", "executorch_call_delegate"]
+        safe_softmax_block = [
+            "getitem",
+            "getitem",
+            "getitem",
+            "getitem",
+            "aten.any.dim",
+            "executorch_call_delegate",
+        ]
+        final_block = ["getitem"]
+        total = conv_block + 12 * safe_softmax_block + final_block
+
+        assert [
+            node.target.__name__
+            for node in delegated_program_manager.exported_program().graph.nodes
+            if node.op == "call_function"
+        ] == total
+
+    def test_buffer(self):
+        embedding_dim = 3
+        max_seq_len = 2
+
+        class Model(torch.nn.Module):
+            def __init__(self):
+                super().__init__()
+                self.register_buffer(
+                    "cache",
+                    torch.zeros((max_seq_len, embedding_dim), dtype=torch.float32),
+                )
+
+            def forward(self, q, k_val, input_pos):
+                q_T = q.transpose(0, 1)
+                k = torch.ops.aten.index_put_(self.cache, [input_pos, None], k_val)
+                attn = k.mm(q_T)
+                return attn
+
+        model = Model()
+        model.eval()
+
+        q = torch.randn((1, embedding_dim))
+        k_val = torch.randn((1, embedding_dim))
+        input_pos = torch.tensor([0])
+        example_inputs = (q, k_val, input_pos)
+        exir_program_aten = torch.export.export(model, example_inputs)
+
+        compile_specs = CoreMLBackend.generate_compile_specs(
+            minimum_deployment_target=ct.target.iOS18
+        )
+        partitioner = CoreMLPartitioner(compile_specs=compile_specs)
+        edge_program_manager = executorch.exir.to_edge(
+            exir_program_aten, compile_config=self.edge_compile_config
+        )
+        delegated_program_manager = edge_program_manager.to_backend(partitioner)
+
         assert [
             node.target.__name__
             for node in delegated_program_manager.exported_program().graph.nodes
             if node.op == "call_function"
         ] == [
-            "aten.convolution.default",
             "executorch_call_delegate",
             "getitem",
         ]
@@ -83,3 +139,4 @@ def test_vit_skip_conv(self):
     test_runner = TestCoreMLPartitioner()
     test_runner.test_add_sub_skip_mm()
     test_runner.test_vit_skip_conv()
+    test_runner.test_buffer()
diff --git a/backends/apple/mps/CMakeLists.txt b/backends/apple/mps/CMakeLists.txt
index f364319283..f47139a000 100644
--- a/backends/apple/mps/CMakeLists.txt
+++ b/backends/apple/mps/CMakeLists.txt
@@ -69,7 +69,7 @@ add_library(mpsdelegate ${_mps_backend__srcs})
 find_library(FOUNDATION_FRAMEWORK Foundation)
 find_library(METAL_FRAMEWORK Metal)
 find_library(MPS_FRAMEWORK MetalPerformanceShaders)
-find_library(MPS_GRAPG_FRAMEWORK MetalPerformanceShadersGraph)
+find_library(MPS_GRAPH_FRAMEWORK MetalPerformanceShadersGraph)
 
 target_link_libraries(
   mpsdelegate
@@ -79,7 +79,7 @@ target_link_libraries(
           ${FOUNDATION_FRAMEWORK}
           ${METAL_FRAMEWORK}
           ${MPS_FRAMEWORK}
-          ${MPS_GRAPG_FRAMEWORK}
+          ${MPS_GRAPH_FRAMEWORK}
 )
 
 target_link_options_shared_lib(mpsdelegate)
diff --git a/backends/apple/mps/TARGETS b/backends/apple/mps/TARGETS
index 9961ddd3c7..1ab92b3fca 100644
--- a/backends/apple/mps/TARGETS
+++ b/backends/apple/mps/TARGETS
@@ -94,8 +94,9 @@ runtime.python_test(
         "//caffe2:torch",
         "//executorch/examples/models:models",
         "//executorch/exir/tests:models",
-        "//executorch/sdk:lib",
-        "//executorch/sdk/bundled_program/serialize:lib",
+        "//executorch/extension/export_util:export_util",
+        "//executorch/devtools:lib",
+        "//executorch/devtools/bundled_program/serialize:lib",
         "fbsource//third-party/pypi/pytest:pytest",
     ],
 )
diff --git a/backends/apple/mps/mps_preprocess.py b/backends/apple/mps/mps_preprocess.py
index 519b4b31ec..8362774fa9 100644
--- a/backends/apple/mps/mps_preprocess.py
+++ b/backends/apple/mps/mps_preprocess.py
@@ -2,9 +2,8 @@
 #  Copyright (c) 2023 Apple Inc. All rights reserved.
 #  Provided subject to the LICENSE file in the top level directory.
 #
-
 import logging
-from typing import Dict, final, List
+from typing import ClassVar, Dict, final, List, Tuple
 
 import torch
 
@@ -16,6 +15,8 @@
 )
 
 from executorch.backends.apple.mps.serialization.mps_graph_schema import (
+    Buffer,
+    DataSegment,
     MPSGraph,
     MPSTensor,
     OpType,
@@ -24,7 +25,7 @@
 from executorch.backends.apple.mps.serialization.mps_graph_serialize import (
     convert_to_flatbuffer,
 )
-from executorch.backends.apple.mps.utils.mps_utils import is_parameter
+from executorch.exir._serialize._program import Cord
 
 from executorch.exir.backend.backend_details import (
     BackendDetails,
@@ -39,6 +40,29 @@
 
 @final
 class MPSBackend(BackendDetails):
+    @staticmethod
+    def slice_len_max(s):
+        assert s.start is not None
+        assert s.stop is not None
+        step = 1
+        if s.step is not None:
+            step = s.step
+        return max((s.stop - s.start) // step, 1)
+
+    MAGIC_IX: ClassVar[slice] = slice(4, 8)
+    DATA_SEGMENT_OFFSET_IX: ClassVar[slice] = slice(8, 16)
+    DATA_SEGMENT_SIZE_IX: ClassVar[slice] = slice(16, 24)
+
+    # magic bytes that should be at the beginning of the header
+    EXPECTED_MAGIC: ClassVar[bytes] = b"MP00"
+    # The length of the header in bytes
+    EXPECTED_LENGTH: ClassVar[int] = (
+        4
+        + slice_len_max(MAGIC_IX)
+        + slice_len_max(DATA_SEGMENT_OFFSET_IX)
+        + slice_len_max(DATA_SEGMENT_SIZE_IX)
+    )
+
     @staticmethod
     def preprocess(
         edge_program: ExportedProgram,
@@ -67,6 +91,7 @@ def preprocess(
             output_ids=[],
             constant_ids=[],
             graph_type=OpType.mps_graph,
+            constant_segment=DataSegment(0, 0),
         )
 
         convert_model_to_fp16 = True
@@ -100,10 +125,43 @@ def preprocess(
             else:
                 op_handler[node.op](edge_program, node_visitors, node, mps_graph)
 
+        segment_data, mps_graph = _extract_constant_segment(mps_graph)
         if logging.DEBUG >= logging.root.level:
             pretty_print(mps_graph)
 
-        return PreprocessResult(processed_bytes=convert_to_flatbuffer(mps_graph))
+        # Add to aggregate segments cord with padding.
+        padding_length = _padding_required(len(segment_data), 16)
+        if padding_length > 0:
+            segment_data.append(b"\x00" * padding_length)
+
+        # Combine mps_graph with segment data
+        combined = Cord()
+        graph_bytes = convert_to_flatbuffer(mps_graph)
+
+        data_segment_offset: int = MPSBackend.EXPECTED_LENGTH
+        data_segment_offset = data_segment_offset + len(graph_bytes)
+
+        graph_padding_length = _padding_required(data_segment_offset, 16)
+        data_segment_offset = data_segment_offset + graph_padding_length
+        data_segment_size = len(segment_data)
+
+        data: bytes = (
+            b"\x00\x00\x00\x00"
+            + MPSBackend.EXPECTED_MAGIC
+            + data_segment_offset.to_bytes(8, byteorder="little")
+            + data_segment_size.to_bytes(8, byteorder="little")
+        )
+        assert len(data) == MPSBackend.EXPECTED_LENGTH
+
+        combined.append(data)
+        combined.append(graph_bytes)
+
+        if graph_padding_length > 0:
+            combined.append(b"\x00" * graph_padding_length)
+        # Append the segment data to the end of the mps graph
+        combined.append(segment_data)
+
+        return PreprocessResult(processed_bytes=bytes(combined))
 
     @staticmethod
     def handle_call_function(
@@ -138,10 +196,8 @@ def handle_placeholder(
         node: torch.fx.Node,
         mps_graph: MPSGraph,
     ) -> None:
-        # Handle only constants. Placeholders have already
-        # been visited in `process_input_placeholders`
-        if is_parameter(edge_program, node):
-            node_visitors[node.op].define_tensor(node, mps_graph)
+        # Constants are handled directly when visiting the nodes.
+        pass
 
     @staticmethod
     def handle_output(
@@ -164,12 +220,41 @@ def handle_get_attr(
         pass
 
 
+def _padding_required(offset: int, alignment: int) -> int:
+    """Returns the padding required to align `offset` to `alignment`."""
+    remainder: int = offset % alignment
+    if remainder != 0:
+        return alignment - remainder
+    return 0
+
+
+def _extract_constant_segment(mps_graph: MPSGraph) -> Tuple[Cord, MPSGraph]:
+    """Extracts the constant segment from the MPSGraph and returns the updated MPSGraph along with the segment data."""
+    # Note that the beginning of the segment data is not aligned. Need to handle out of this call.
+    segment_data = Cord()
+    offset = 0
+    for i in range(len(mps_graph.mps_values)):
+        tensor = mps_graph.mps_values[i]
+        if tensor.constant_buffer_size > 0:
+            # Notice that buffer is already force aligned so we don't need to pad it
+            segment_data.append(tensor.constant_buffer.storage)
+
+            # Reset buffer to empty
+            tensor.constant_buffer = Buffer(storage=b"")
+            # Update segment offset
+            tensor.segment_offset = offset
+            offset += tensor.constant_buffer_size
+
+    return segment_data, mps_graph
+
+
 def tensor_to_str(mps_tensor: MPSTensor):
     tensor_str = "MPSTensor("
     tensor_str += "datatype=" + str(mps_tensor.datatype) + ", "
     tensor_str += "num_dims=" + str(mps_tensor.num_dims) + ", "
     tensor_str += "dims=" + str(mps_tensor.dims) + ", "
-    tensor_str += "constant_buffer_size=" + str(mps_tensor.constant_buffer_size)
+    tensor_str += "constant_buffer_size=" + str(mps_tensor.constant_buffer_size) + ", "
+    tensor_str += "segment_offset=" + str(mps_tensor.segment_offset)
     tensor_str += ")"
 
     return tensor_str
@@ -193,3 +278,4 @@ def pretty_print(mps_graph: MPSGraph):
     logging.info(" Output ids:")
     for out_id in mps_graph.output_ids:
         logging.info(f"   {out_id}")
+    logging.info(f" Constant segment: {mps_graph.constant_segment}")
diff --git a/backends/apple/mps/operators/__init__.py b/backends/apple/mps/operators/__init__.py
index 4c5c09c00b..0e474bdfe1 100644
--- a/backends/apple/mps/operators/__init__.py
+++ b/backends/apple/mps/operators/__init__.py
@@ -4,9 +4,8 @@
 #
 
 from . import (  # noqa
-    # Activation ops
     activation_ops,
-    # binary ops
+    # Binary ops
     binary_ops,
     # Clamp ops
     clamp_ops,
@@ -22,6 +21,10 @@
     normalization_ops,
     op_clone,
     op_getitem,
+    # Quant-Dequant ops
+    op_quant_dequant,
+    # Skip ops
+    op_skip_ops,
     # Pad ops
     pad_ops,
     # Pooling ops
@@ -32,7 +35,7 @@
     reduce_ops,
     # Shape ops
     shape_ops,
-    # unary ops
+    # Unary ops
     unary_ops,
 )
 
@@ -41,8 +44,6 @@
     op_clone,
     # Binary ops
     binary_ops,
-    # Unary ops
-    unary_ops,
     # Activation ops
     activation_ops,
     # Linear algebra ops
@@ -67,4 +68,10 @@
     pad_ops,
     # Range ops
     range_ops,
+    # Unary ops
+    unary_ops,
+    # Quant-Dequant ops
+    op_quant_dequant,
+    # Skip ops
+    op_skip_ops,
 ]
diff --git a/backends/apple/mps/operators/node_visitor.py b/backends/apple/mps/operators/node_visitor.py
index 0b9b2d5512..2b443134bf 100644
--- a/backends/apple/mps/operators/node_visitor.py
+++ b/backends/apple/mps/operators/node_visitor.py
@@ -72,11 +72,12 @@ def define_tensor(
         self,
         node: torch.fx.Node,
         mps_graph: MPSGraph,
+        mps_data_type: MPSDataType = None,
     ) -> int:
         """Defines a tensor value into the MPSGraph serialization schema
 
         Args:
-            tensor (torch.fx.Node): EdgeIR tensor to define into mps_graph
+            node (torch.fx.Node): EdgeIR tensor to define into mps_graph
             mps_graph (MPSGraph): MPSGraph object for serializing into flatbuffer
         """
 
@@ -89,7 +90,7 @@ def define_tensor(
         # Get a unique id for the node.
         id = self.get_serialized_id(node, mps_graph)
         cb_size, constant_buffer, mps_data_type = self.get_serialized_buffer(
-            node, mps_graph, id
+            node, mps_graph, id, mps_data_type
         )
         dims = get_shape(node)
 
@@ -143,6 +144,9 @@ def define_tensor_list(self, node: torch.fx.Node, mps_graph: MPSGraph) -> List[i
             mps_graph.mps_values.append(mps_tensor)
         return self.tensor_to_id[node]
 
+    def hash_tensor(self, tensor):
+        return hash(tuple(tensor.reshape(-1).tolist()))
+
     def define_constant(
         self,
         constant_tensor: torch.tensor,
@@ -151,13 +155,16 @@ def define_constant(
         """Defines a scalar value into the MPSGraph serialization schema
 
         Args:
-            tensor (torch.fx.Node): EdgeIR tensor to define into mps_graph
+            constant_tensor (torch.fx.Node): EdgeIR tensor to define into mps_graph
             mps_graph (MPSGraph): MPSGraph object for serializing into flatbuffer
         """
         constant_tensor = constant_tensor.contiguous()
-        # MPS TODO: cache these values
-        id = len(mps_graph.mps_values)
-        self.tensor_to_id[constant_tensor] = id
+        hash = self.hash_tensor(constant_tensor)
+        if hash in self.tensor_to_id:
+            return self.tensor_to_id[hash]
+
+        id = self.get_serialized_id(constant_tensor, mps_graph, hash)
+
         mps_data_type = edge_dtype_to_mps_dtype(constant_tensor.dtype)
         constant_buffer_size, constant_buffer, mps_data_type = self.get_serialized_data(
             constant_tensor, mps_graph, mps_data_type, id
@@ -184,14 +191,14 @@ def define_scalar(
         """Defines a scalar value into the MPSGraph serialization schema
 
         Args:
-            tensor (torch.fx.Node): EdgeIR tensor to define into mps_graph
             mps_graph (MPSGraph): MPSGraph object for serializing into flatbuffer
         """
         assert isinstance(val, int) or isinstance(val, float)
 
-        # MPS TODO: cache these values
-        id = len(mps_graph.mps_values)
-        self.tensor_to_id[val] = id
+        if val in self.tensor_to_id:
+            return self.tensor_to_id[val]
+
+        id = self.get_serialized_id(val, mps_graph, val)
 
         tensor = torch.tensor(val)
         constant_buffer_size, constant_buffer, mps_data_type = self.get_serialized_data(
@@ -214,19 +221,22 @@ def get_serialized_buffer(
         node: torch.fx.Node,
         mps_graph: MPSGraph,
         node_id: int,
+        mps_data_type: MPSDataType = None,
     ) -> Tuple[int, Buffer, MPSDataType]:
         """
         If tensor holds some constant data, serialize it and return the
         index of its placement in the constant buffer
 
         Args:
-            tensor (torch.fx.Node): _description_
+            node (torch.fx.Node): _description_
             mps_graph (MPSGraph): _description_
 
         Returns:
             _type_: _description_
         """
-        mps_data_type = self.get_serialized_dtype(node)
+        mps_data_type = (
+            self.get_serialized_dtype(node) if mps_data_type is None else mps_data_type
+        )
 
         # Check if this node is a lifted parameter
         if not is_parameter(self.exported_program, node):
@@ -255,6 +265,22 @@ def get_serialized_data(
         if id not in mps_graph.constant_ids:
             mps_graph.constant_ids.append(id)
 
+        if (
+            mps_data_type is MPSDataType.mps_data_type_int4
+            and tensor.dtype is torch.int8
+        ):
+            if tensor.dim() != 2:
+                raise RuntimeError(f"Unexpected tensor shape {tensor.shape}")
+
+            tensor = tensor.to(dtype=torch.int32)
+            tensor = (((tensor[::, ::2] & 0x0F) << 4) | (tensor[::, 1::2] & 0x0F)).to(
+                torch.uint8
+            )
+            tensor = (
+                torch._convert_weight_to_int4pack(tensor.to("mps"), 2)
+                .cpu()
+                .view(dtype=torch.uint8)
+            )
         array_type = ctypes.c_char * tensor.untyped_storage().nbytes()
         array = ctypes.cast(
             tensor.untyped_storage().data_ptr(),
@@ -265,32 +291,40 @@ def get_serialized_data(
         return tensor.untyped_storage().nbytes(), buffer, mps_data_type
 
     def get_serialized_id(
-        self, node: Union[torch.fx.Node, float, int], mps_graph: MPSGraph
+        self, node: Union[torch.fx.Node, float, int], mps_graph: MPSGraph, hash=None
     ) -> int:
         """
         Map a tensor to a unique id. If the tensor was already mapped, return
         the existent id.
 
         Args:
-            tensor (Union[torch.fx.Node, float]): _description_
+            node (Union[torch.fx.Node, float]): _description_
             mps_graph (MPSGraph): _description_
 
         Returns:
             int: _description_
         """
-        if node in self.tensor_to_id:
+        if hash is not None and hash in self.tensor_to_id:
+            return self.tensor_to_id[hash]
+        elif node in self.tensor_to_id:
             return self.tensor_to_id[node]
 
         id = len(mps_graph.mps_values)
-        self.tensor_to_id[node] = id
+        if hash is not None:
+            self.tensor_to_id[hash] = id
+        else:
+            self.tensor_to_id[node] = id
 
         return id
 
+    def torch_dtype_to_mps_dtype(self, torch_dtype: torch.dtype) -> MPSDataType:
+        return edge_dtype_to_mps_dtype(torch_dtype)
+
     def get_serialized_dtype(
         self,
         node: torch.fx.Node,
     ) -> MPSDataType:
-        return edge_dtype_to_mps_dtype(node.meta["val"].dtype)
+        return self.torch_dtype_to_mps_dtype(node.meta["val"].dtype)
 
     def create_tertiary_node(
         self, node: torch.fx.Node, mps_graph: MPSGraph, tertiary_op: MPSNodeUnion
diff --git a/backends/apple/mps/operators/op_quant_dequant.py b/backends/apple/mps/operators/op_quant_dequant.py
new file mode 100644
index 0000000000..970f3900f8
--- /dev/null
+++ b/backends/apple/mps/operators/op_quant_dequant.py
@@ -0,0 +1,142 @@
+#
+#  Copyright (c) 2024 Apple Inc. All rights reserved.
+#  Provided subject to the LICENSE file in the top level directory.
+#
+
+import logging
+from typing import cast
+
+import torch
+from executorch.backends.apple.mps.operators.node_visitor import (
+    NodeVisitor,
+    register_node_visitor,
+)
+from executorch.backends.apple.mps.serialization.mps_graph_schema import (
+    MPSDataType,
+    MPSDequantizePerChannelGroup,
+    MPSGraph,
+    MPSNode,
+)
+from executorch.backends.apple.mps.utils.mps_utils import get_input_node
+
+FORMAT = "[%(levelname)s %(asctime)s %(filename)s:%(lineno)s] %(message)s"
+logging.basicConfig(level=logging.DEBUG, format=FORMAT)
+
+
+@register_node_visitor
+class OpDequantizePerChannelGroupDefault(NodeVisitor):
+    target = "quantized_decomposed.dequantize_per_channel_group.default"
+
+    def __init__(self, *args) -> None:
+        super().__init__(*args)
+
+    def define_node(
+        self,
+        node: torch.fx.Node,
+        mps_graph: MPSGraph,
+    ) -> None:
+        # Weights placeholders shouldn't have been defined until this point
+        if get_input_node(node, 0) in self.tensor_to_id:
+            raise RuntimeError(
+                f"Placeholder for {node.target.__name__} already visited"
+            )
+        output_id = self.define_tensor(node, mps_graph)
+        input_id = self.define_tensor(
+            get_input_node(node, 0), mps_graph, MPSDataType.mps_data_type_int4
+        )
+        scales_id = self.define_tensor(get_input_node(node, 1), mps_graph)
+
+        # there are no zero points in this quantization method (node.args[2] is all zeros)
+        zero_points_id = -1
+        quant_min = cast(int, node.args[3])
+        quant_max = cast(int, node.args[4])
+        dtype = self.torch_dtype_to_mps_dtype(node.args[5])
+        group_size = cast(int, node.args[6])
+        output_dtype = self.torch_dtype_to_mps_dtype(node.args[7])
+
+        dequant_node = MPSNode(
+            mpsnode_union=MPSDequantizePerChannelGroup(
+                input1_id=input_id,
+                output_id=output_id,
+                scales_id=scales_id,
+                zero_points_id=zero_points_id,
+                quant_min=quant_min,
+                quant_max=quant_max,
+                dtype=dtype,
+                group_size=group_size,
+                output_dtype=output_dtype,
+            )
+        )
+        mps_graph.mps_nodes.append(dequant_node)
+
+
+@register_node_visitor
+class OpQuantizePerToken(NodeVisitor):
+    """
+    Dynamic Quantize Per Token Node visitor
+    """
+
+    target = "quantized_decomposed.quantize_per_token.default"
+
+    def __init__(self, *args) -> None:
+        super().__init__(*args)
+
+    def define_node(
+        self,
+        node: torch.fx.Node,
+        mps_graph: MPSGraph,
+    ) -> None:
+        """
+        Skip activation dynamic quantization for now.
+        Currently all matmuls are going through [FP16/BF16] @ [QInt4/QInt8].
+        Issue: #133407308
+        """
+        dq_input = self.define_tensor(get_input_node(node, 0), mps_graph)
+        self.tensor_to_id[node] = dq_input
+
+
+@register_node_visitor
+class OpDequantizePerToken(NodeVisitor):
+    """
+    Dequantize Per Token Node visitor
+    """
+
+    target = "quantized_decomposed.dequantize_per_token.default"
+
+    def __init__(self, *args) -> None:
+        super().__init__(*args)
+
+    def define_node(
+        self,
+        node: torch.fx.Node,
+        mps_graph: MPSGraph,
+    ) -> None:
+        """
+        Skip activation dynamic quantization for now.
+        Currently all matmuls are going through [FP16/BF16] @ [QInt4/QInt8].
+        Issue: #133407308
+        """
+        dq_input = self.define_tensor(get_input_node(node, 0), mps_graph)
+        self.tensor_to_id[node] = dq_input
+
+
+@register_node_visitor
+class OpChooseQparamsToken(NodeVisitor):
+    """
+    do nothing if node is choose_qparams_per_token_asymmetric.tensor
+    """
+
+    target = "quantized_decomposed.choose_qparams_per_token_asymmetric.default"
+
+    def define_node(
+        self,
+        node: torch.fx.Node,
+        mps_graph: MPSGraph,
+    ) -> None:
+        """
+        Skip activation dynamic quantization for now.
+        Currently all matmuls are going through [FP16/BF16] @ [QInt4/QInt8].
+        Issue: #133407308
+        """
+        input_id = self.define_tensor(get_input_node(node, 0), mps_graph)
+        self.tensor_to_id[node] = [input_id, input_id]
diff --git a/backends/apple/mps/operators/op_skip_ops.py b/backends/apple/mps/operators/op_skip_ops.py
new file mode 100644
index 0000000000..f654ac2439
--- /dev/null
+++ b/backends/apple/mps/operators/op_skip_ops.py
@@ -0,0 +1,24 @@
+#
+#  Copyright (c) 2024 Apple Inc. All rights reserved.
+#  Provided subject to the LICENSE file in the top level directory.
+#
+
+import torch
+from executorch.backends.apple.mps.operators.node_visitor import NodeVisitor
+from executorch.backends.apple.mps.serialization.mps_graph_schema import MPSGraph
+
+
+class OpSkipOps(NodeVisitor):
+    """
+    Parent Class for handling Skip Ops
+    """
+
+    def __init__(self, *args) -> None:
+        super().__init__(*args)
+
+    def define_node(
+        self,
+        node: torch.fx.Node,
+        mps_graph: MPSGraph,
+    ) -> None:
+        return
diff --git a/backends/apple/mps/partition/mps_partitioner.py b/backends/apple/mps/partition/mps_partitioner.py
index e84b0d26a9..6e8083fd63 100644
--- a/backends/apple/mps/partition/mps_partitioner.py
+++ b/backends/apple/mps/partition/mps_partitioner.py
@@ -26,8 +26,7 @@
 from torch.fx.passes.operator_support import OperatorSupportBase
 
 FORMAT = "[%(levelname)s %(asctime)s %(filename)s:%(lineno)s] %(message)s"
-logging.basicConfig(level=logging.DEBUG, format=FORMAT)
-
+logging.basicConfig(level=logging.INFO, format=FORMAT)
 
 # ops implemented as Metal kernels.
 METAL_KERNELS = [
diff --git a/backends/apple/mps/runtime/MPSBackend.mm b/backends/apple/mps/runtime/MPSBackend.mm
index e2070bf2c6..cb96edbeb2 100644
--- a/backends/apple/mps/runtime/MPSBackend.mm
+++ b/backends/apple/mps/runtime/MPSBackend.mm
@@ -19,7 +19,7 @@
 namespace torch {
 namespace executor {
 
-class MPSBackend final : public PyTorchBackendInterface {
+class MPSBackend final : public ::executorch::runtime::BackendInterface {
  public:
   ~MPSBackend() = default;
 
@@ -55,7 +55,7 @@ bool is_available() const override {
 
   // Function that actually executes the model in the backend.
   Error execute(
-    __ET_UNUSED BackendExecutionContext& context,
+    ET_UNUSED BackendExecutionContext& context,
     DelegateHandle* handle,
     EValue** args) const override {
     auto executor = static_cast<mps::delegate::MPSExecutor*>(handle);
diff --git a/backends/apple/mps/runtime/MPSCompiler.h b/backends/apple/mps/runtime/MPSCompiler.h
index 4bc2f60ee4..7f449d481b 100644
--- a/backends/apple/mps/runtime/MPSCompiler.h
+++ b/backends/apple/mps/runtime/MPSCompiler.h
@@ -24,7 +24,7 @@ class MPSCompiler {
   // Takes Flatbuffer Serialized MPS Model and rebuilds the MPSGraphExecutable
   // returns an executor object that holds the MPS runtime object which we
   // can then use to set inputs and run inference using the MPSGraphExecutable.
-  __ET_NODISCARD static Error compileModel(
+  ET_NODISCARD static Error compileModel(
       const void* buffer_pointer,
       size_t num_bytes,
       MPSExecutor* executor,
diff --git a/backends/apple/mps/runtime/MPSCompiler.mm b/backends/apple/mps/runtime/MPSCompiler.mm
index 560c1bb0a1..9a58016a77 100644
--- a/backends/apple/mps/runtime/MPSCompiler.mm
+++ b/backends/apple/mps/runtime/MPSCompiler.mm
@@ -32,7 +32,7 @@
 Builds the mps runtime object using the buffer pointer. The buffer pointer
 must be a valid pointer to the serialized mps object.
 */
-__ET_NODISCARD Error MPSCompiler::compileModel(
+ET_NODISCARD Error MPSCompiler::compileModel(
   const void* buffer_pointer,
   size_t num_bytes,
   MPSExecutor* executor,
@@ -43,7 +43,7 @@
   Error err = Error::Ok;
 
   std::unique_ptr<MPSGraphBuilder> mpsGraphBuilder(
-    new MPSGraphBuilder(buffer_pointer, executor->_mpsGraphTensorToId));
+    new MPSGraphBuilder(buffer_pointer, num_bytes, executor->_mpsGraphTensorToId));
   err = mpsGraphBuilder->compileModel();
   ET_CHECK_OR_RETURN_ERROR(
     err == Error::Ok, Internal, "Failed to construct the MPS graph object");
diff --git a/backends/apple/mps/runtime/MPSDelegateHeader.h b/backends/apple/mps/runtime/MPSDelegateHeader.h
new file mode 100644
index 0000000000..07a138b918
--- /dev/null
+++ b/backends/apple/mps/runtime/MPSDelegateHeader.h
@@ -0,0 +1,113 @@
+//
+//  Copyright (c) 2024 Apple Inc. All rights reserved.
+//  Provided subject to the LICENSE file in the top level directory.
+//
+
+#pragma once
+
+#include <executorch/runtime/core/result.h>
+
+namespace torch {
+namespace executor {
+namespace mps {
+namespace delegate {
+
+/**
+ * MPS-header that is embedded before the flatbuffer payload
+ *
+ */
+struct MPSDelegateHeader {
+  /**
+   * The minimum size of the MPSDelegateHeader. The caller should provide at
+   * least this many bytes of the head of the serialized MPS Data
+   */
+  static constexpr size_t kMinSize = 30;
+
+  /**
+   * The magic offset. This offset is the same as the offset for flatbuffer
+   * header so we will be able to check if the header is is either the
+   * flatbuffer head or the wrapper header we introduce here
+   */
+  static constexpr size_t kMagicOffset = 4;
+
+  /**
+   * The magic bytes that identify the header.
+   *
+   * This is the canonical definition of the expected value. If the header
+   * layout ever changes in a compatibility-breaking way, increment the digits
+   * in the magic. But, doing so will prevent older binaries from recognizing
+   * the presence of the header. The compatibility-preserving way to make
+   * changes is to increase the header's length field and add new fields at the
+   * end.
+   */
+  static constexpr size_t kMagicSize = 4;
+  static constexpr char kMagic[kMagicSize] = {'M', 'P', '0', '0'};
+
+  /**
+   * The size in bytes of the header length. We store 2 bytes for the header
+   * length
+   */
+  static constexpr size_t kHeaderLengthSize = 2;
+
+  /**
+   * The expected location of the header length field relative to the beginning
+   * of the header.
+   */
+  static constexpr size_t kHeaderLengthOffset =
+      MPSDelegateHeader::kMagicOffset + MPSDelegateHeader::kMagicSize;
+
+  /*
+   * The expected location of the constant data offset field relative to the
+   * beginning of the header.
+   */
+  static constexpr size_t kConstantDataSegmentOffset = kHeaderLengthOffset;
+
+  /*
+   * The expected location of the constant data size field relative to the
+   * beginning of the header.
+   */
+  static constexpr size_t kConstantDataSizeOffset =
+      kConstantDataSegmentOffset + sizeof(uint64_t);
+
+  /**
+   * The expected location of the flatbuffer data offset field relative to the
+   * beginning of the header.
+   */
+  static constexpr size_t kFlatbufferDataOffsetOffset =
+      kConstantDataSizeOffset + sizeof(uint64_t);
+
+  /**
+   * Look for and parse an ExtendedHeader in the provided data.
+   *
+   * @param[in] data The contents of the beginning of the serialized binary
+   *     Program data, starting at offset 0 (i.e., the head of the file).
+   * @param[in] size Length of `data` in bytes.
+   *
+   * @returns an MPSHeader if the header was found and is valid. Returns an
+   *     error if size was too short, if the header was not found, or if the
+   *     header appeared to be corrupt.
+   */
+  static Result<MPSDelegateHeader> Parse(const void* data, size_t size);
+
+  /**
+   * The offset in bytes to the beginning of the constant data.
+   */
+  uint64_t constant_data_offset;
+  /**
+   * The size in bytes of the constant data.
+   */
+  uint64_t constant_data_size;
+  /**
+   * The offset in bytes to the beginning of the flatbuffer data.
+   */
+  uint64_t flatbuffer_offset;
+  /**
+   * The size in bytes of the flatbuffer data.
+   */
+  uint64_t flatbuffer_size;
+};
+
+} // namespace delegate
+} // namespace mps
+} // namespace executor
+} // namespace torch
diff --git a/backends/apple/mps/runtime/MPSDelegateHeader.mm b/backends/apple/mps/runtime/MPSDelegateHeader.mm
new file mode 100644
index 0000000000..2994b30507
--- /dev/null
+++ b/backends/apple/mps/runtime/MPSDelegateHeader.mm
@@ -0,0 +1,53 @@
+//
+//  Copyright (c) 2024 Apple Inc. All rights reserved.
+//  Provided subject to the LICENSE file in the top level directory.
+//
+
+#include <executorch/backends/apple/mps/runtime/MPSDelegateHeader.h>
+
+#include <cstring>
+
+#include <executorch/runtime/core/error.h>
+#include <executorch/runtime/core/result.h>
+
+namespace torch {
+namespace executor {
+namespace mps {
+namespace delegate {
+
+/// Interprets the 8 bytes at `data` as a little-endian uint64_t.
+uint64_t getUInt64LE(const uint8_t* data) {
+  return (uint64_t)data[0] | ((uint64_t)data[1] << 8) |
+      ((uint64_t)data[2] << 16) | ((uint64_t)data[3] << 24) |
+      ((uint64_t)data[4] << 32) | ((uint64_t)data[5] << 40) |
+      ((uint64_t)data[6] << 48) | ((uint64_t)data[7] << 56);
+}
+
+Result<MPSDelegateHeader> MPSDelegateHeader::Parse(const void* data, size_t size) {
+  const uint8_t* header_data = (const uint8_t*)data;
+
+  if (size < MPSDelegateHeader::kMinSize) {
+    return Error::InvalidArgument;
+  }
+
+  const uint8_t* magic_start = header_data + MPSDelegateHeader::kMagicOffset;
+  if (std::memcmp(magic_start, MPSDelegateHeader::kMagic, MPSDelegateHeader::kMagicSize) != 0) {
+    return Error::NotFound;
+  }
+
+  uint64_t constant_data_offset = getUInt64LE(header_data + MPSDelegateHeader::kConstantDataSegmentOffset);
+  uint64_t constant_data_size = getUInt64LE(header_data + MPSDelegateHeader::kConstantDataSizeOffset);
+  uint64_t flatbuffer_offset = MPSDelegateHeader::kFlatbufferDataOffsetOffset;
+  uint64_t flatbuffer_size = size - flatbuffer_offset;
+
+  return MPSDelegateHeader{
+      constant_data_offset,
+      constant_data_size,
+      flatbuffer_offset,
+      flatbuffer_size};
+}
+
+} // namespace delegate
+} // namespace mps
+} // namespace executor
+} // namespace torch
diff --git a/backends/apple/mps/runtime/MPSDevice.h b/backends/apple/mps/runtime/MPSDevice.h
index a8b5dbe2b8..27c0758246 100644
--- a/backends/apple/mps/runtime/MPSDevice.h
+++ b/backends/apple/mps/runtime/MPSDevice.h
@@ -32,6 +32,7 @@ enum class MacOSVersion : uint32_t {
   MACOS_VER_13_2_PLUS,
   MACOS_VER_13_3_PLUS,
   MACOS_VER_14_0_PLUS,
+  MACOS_VER_15_0_PLUS,
 };
 
 enum class LibraryType : uint32_t {
@@ -82,7 +83,8 @@ class MPSDevice {
   MPSDevice();
 };
 
-bool isMacOS13OrNewer(MacOSVersion version = MacOSVersion::MACOS_VER_13_0_PLUS);
+bool is_macos_13_or_newer(
+    MacOSVersion version = MacOSVersion::MACOS_VER_13_0_PLUS);
 
 } // namespace delegate
 } // namespace mps
diff --git a/backends/apple/mps/runtime/MPSDevice.mm b/backends/apple/mps/runtime/MPSDevice.mm
index f51851c379..6f59fec353 100644
--- a/backends/apple/mps/runtime/MPSDevice.mm
+++ b/backends/apple/mps/runtime/MPSDevice.mm
@@ -76,7 +76,7 @@ static inline MTLLanguageVersion getMetalLanguageVersion(const id<MTLDevice>& de
   static bool _macos_13_3_plus = [compileOptions respondsToSelector:@selector(maxTotalThreadsPerThreadgroup)] == YES;
 
   static bool _macos_14_0_plus = [mpsCD instancesRespondToSelector:@selector(conjugateWithTensor:name:)] == YES;
-
+  static bool _macos_15_0_plus = [mpsCD instancesRespondToSelector:@selector(scaledDotProductAttentionWithQueryTensor:keyTensor:valueTensor:maskTensor:scale:name:)] == YES;
   switch (version) {
     case MacOSVersion::MACOS_VER_13_0_PLUS:
       return _macos_13_0_plus;
@@ -88,6 +88,8 @@ static inline MTLLanguageVersion getMetalLanguageVersion(const id<MTLDevice>& de
       return _macos_13_3_plus;
     case MacOSVersion::MACOS_VER_14_0_PLUS:
       return _macos_14_0_plus;
+    case MacOSVersion::MACOS_VER_15_0_PLUS:
+      return _macos_15_0_plus;
     default:
       return false;
   }
@@ -144,7 +146,7 @@ static inline MTLLanguageVersion getMetalLanguageVersion(const id<MTLDevice>& de
   return err;
 }
 
-bool isMacOS13OrNewer(MacOSVersion version) {
+bool is_macos_13_or_newer(MacOSVersion version) {
   return MPSDevice::getInstance()->isMacOS13Plus(version);
 }
 
diff --git a/backends/apple/mps/runtime/MPSExecutor.h b/backends/apple/mps/runtime/MPSExecutor.h
index 847d00ac74..8d55edb452 100644
--- a/backends/apple/mps/runtime/MPSExecutor.h
+++ b/backends/apple/mps/runtime/MPSExecutor.h
@@ -73,9 +73,9 @@ class MPSExecutor {
     return _executable;
   }
 
-  __ET_NODISCARD Error forward(std::vector<const Tensor*>& outputs);
+  ET_NODISCARD Error forward(std::vector<const Tensor*>& outputs);
 
-  __ET_NODISCARD Error
+  ET_NODISCARD Error
   set_inputs_outputs(std::vector<const Tensor*>& inputs, std::vector<const Tensor*>& outputs);
 
   Error initDataBuffers();
diff --git a/backends/apple/mps/runtime/MPSExecutor.mm b/backends/apple/mps/runtime/MPSExecutor.mm
index 64f3ae51d0..8032d9a6a7 100644
--- a/backends/apple/mps/runtime/MPSExecutor.mm
+++ b/backends/apple/mps/runtime/MPSExecutor.mm
@@ -29,7 +29,7 @@ @interface MPSGraphExecutable()
 #if TARGET_OS_SIMULATOR or defined(__x86_64__)
   _use_shared_mem = false;
 #endif
-  if (!isMacOS13OrNewer(MacOSVersion::MACOS_VER_14_0_PLUS)) {
+  if (!is_macos_13_or_newer(MacOSVersion::MACOS_VER_14_0_PLUS)) {
     _use_shared_mem = false;
   }
 
@@ -37,7 +37,7 @@ @interface MPSGraphExecutable()
   _outputsArray = [[NSMutableArray<MPSGraphTensorData *> alloc] initWithCapacity:getNumOutputs()];
 }
 
-__ET_NODISCARD Error
+ET_NODISCARD Error
 MPSExecutor::set_inputs_outputs(std::vector<const Tensor*>& inputs, std::vector<const Tensor*>& outputs) {
   ET_CHECK_OR_RETURN_ERROR(inputs.size() == getNumInputs(), Internal, "Inputs mismatch");
   ET_CHECK_OR_RETURN_ERROR(outputs.size() == getNumOutputs(), Internal, "Outputs mismatch");
@@ -61,7 +61,7 @@ @interface MPSGraphExecutable()
   return Error::Ok;
 }
 
-__ET_NODISCARD Error MPSExecutor::forward(std::vector<const Tensor*>& outputs) {
+ET_NODISCARD Error MPSExecutor::forward(std::vector<const Tensor*>& outputs) {
   Error err = Error::Ok;
   MPSStream* mpsStream = getDefaultMPSStream();
   if (mpsStream->commitAndContinueEnabled() || mpsStream->hasLiveCommandBuffer()) {
diff --git a/backends/apple/mps/runtime/MPSGraphBuilder.h b/backends/apple/mps/runtime/MPSGraphBuilder.h
index 29b9471ae9..ea7f9f818a 100644
--- a/backends/apple/mps/runtime/MPSGraphBuilder.h
+++ b/backends/apple/mps/runtime/MPSGraphBuilder.h
@@ -16,6 +16,7 @@
 #include <executorch/runtime/core/exec_aten/util/scalar_type_util.h>
 
 // MPS headers
+#include <executorch/backends/apple/mps/runtime/operations/MPSGraphSequoiaOps.h>
 #include <executorch/backends/apple/mps/runtime/operations/MPSGraphVenturaOps.h>
 #include <executorch/backends/apple/mps/runtime/operations/OperationUtils.h>
 #include <executorch/backends/apple/mps/schema_generated.h>
@@ -40,7 +41,8 @@ using NodePtr = const mpsgraph::MPSNode *;
  */
 class MPSGraphBuilder {
 public:
-  MPSGraphBuilder(const void *buffer_pointer, std::unordered_map<MPSGraphTensor *, int32_t> &mpsGraphTensorToId);
+  MPSGraphBuilder(const void *buffer_pointer, size_t num_bytes,
+                  std::unordered_map<MPSGraphTensor *, int32_t> &mpsGraphTensorToId);
   ~MPSGraphBuilder() = default;
 
   Error compileModel();
@@ -154,6 +156,8 @@ class MPSGraphBuilder {
   _DEFINE_MPS_OP(ConstantPadND);
   // Range ops
   _DEFINE_MPS_OP(Arange);
+  // Quant-Dequant ops
+  _DEFINE_MPS_OP(DequantizePerChannelGroup);
 
   // Helper functions
   Error addNodeToMPSGraph(NodePtr nodePtr);
@@ -178,12 +182,15 @@ class MPSGraphBuilder {
   const mpsgraph::MPSGraph *_flatBufferGraph;
   // FlatBuffer raw bytes of the serialized MPS model.
   const void *_buffer_pointer;
+  size_t _num_bytes;
 
   bool _metal_kernel;
   MPSGraph *_mpsGraph;
   MPSGraphExecutable *_mpsGraphExecutable;
   NSMutableDictionary<MPSGraphTensor *, MPSGraphShapedType *> *_feeds;
   NSMutableArray<MPSGraphTensor *> *_targetTensors;
+
+  const uint8_t *_constant_data_ptr;
 };
 
 #undef _DEFINE_MPS_OP
diff --git a/backends/apple/mps/runtime/MPSGraphBuilder.mm b/backends/apple/mps/runtime/MPSGraphBuilder.mm
index 8b571001d4..a11cb638fb 100644
--- a/backends/apple/mps/runtime/MPSGraphBuilder.mm
+++ b/backends/apple/mps/runtime/MPSGraphBuilder.mm
@@ -5,13 +5,19 @@
 
 #include <executorch/backends/apple/mps/runtime/MPSGraphBuilder.h>
 #include <executorch/backends/apple/mps/runtime/MPSDevice.h>
+#include <executorch/backends/apple/mps/runtime/MPSDelegateHeader.h>
 
 namespace torch {
 namespace executor {
 namespace mps {
 namespace delegate {
 
-MPSGraphBuilder::MPSGraphBuilder(const void* buffer_pointer, std::unordered_map<MPSGraphTensor*, int32_t>& mpsGraphTensorToId) : _mpsGraphTensorToId(mpsGraphTensorToId), _buffer_pointer(buffer_pointer) {
+MPSGraphBuilder::MPSGraphBuilder(
+  const void* buffer_pointer,
+  size_t num_bytes,
+  std::unordered_map<MPSGraphTensor*, int32_t>& mpsGraphTensorToId) :
+    _mpsGraphTensorToId(mpsGraphTensorToId), _buffer_pointer(buffer_pointer), _num_bytes(num_bytes) {
+
   _mpsGraph = [MPSGraph new];
   _feeds = [NSMutableDictionary dictionary];
   _targetTensors = [NSMutableArray new];
@@ -24,15 +30,36 @@
 MPSGraphBuilder::compileModel() {
   Error err = Error::Ok;
 
-  ET_CHECK(_buffer_pointer != nullptr);
+  Result<MPSDelegateHeader> header = MPSDelegateHeader::Parse(_buffer_pointer, _num_bytes);
+  const uint8_t* flatbuffer_data_ptr = nullptr;
+
+  if (header.ok()) {
+    flatbuffer_data_ptr = reinterpret_cast<const uint8_t*>(_buffer_pointer) +
+        header->flatbuffer_offset;
+    _constant_data_ptr = reinterpret_cast<const uint8_t*>(_buffer_pointer) +
+        header->constant_data_offset;
+  } else if (header.error() == Error::NotFound) {
+    ET_LOG(
+        Error,
+        "MPSDelegateHeader version mismatch: '%.4s' != expected '%.4s'",
+        // Header Magic and FlatbufferIdentifier are same offset and size
+        flatbuffers::GetBufferIdentifier(_buffer_pointer),
+        MPSDelegateHeader::kMagic);
+    return header.error();
+  } else {
+    ET_LOG(Error, "MPSDelegateHeader may be corrupt");
+    return header.error();
+  }
+
+  ET_CHECK(flatbuffer_data_ptr != nullptr);
   ET_CHECK_OR_RETURN_ERROR(
-    mpsgraph::MPSGraphBufferHasIdentifier(_buffer_pointer),
+    mpsgraph::MPSGraphBufferHasIdentifier(flatbuffer_data_ptr),
     DelegateInvalidCompatibility,
     "MPS Delegate Serialization Format version identifier '%.4s' != expected '%.4s'",
-    flatbuffers::GetBufferIdentifier(_buffer_pointer),
+    flatbuffers::GetBufferIdentifier(flatbuffer_data_ptr),
     mpsgraph::MPSGraphIdentifier());
 
-  _flatBufferGraph = mpsgraph::GetMPSGraph(_buffer_pointer);
+  _flatBufferGraph = mpsgraph::GetMPSGraph(flatbuffer_data_ptr);
   switch (_flatBufferGraph->graph_type()) {
     case mpsgraph::OpType::metal_kernel:
     {
diff --git a/backends/apple/mps/runtime/MPSStream.h b/backends/apple/mps/runtime/MPSStream.h
index aa39e5799c..def926c982 100644
--- a/backends/apple/mps/runtime/MPSStream.h
+++ b/backends/apple/mps/runtime/MPSStream.h
@@ -63,7 +63,7 @@ class MPSStream {
   MPSCommandBuffer* commandBuffer();
   id<MTLComputeCommandEncoder> commandEncoder();
   void endKernelCoalescing();
-  __ET_NODISCARD Error synchronize(SyncType syncType);
+  ET_NODISCARD Error synchronize(SyncType syncType);
   bool commitAndContinueEnabled();
   void copy(
       id<MTLBuffer> srcBuffer,
diff --git a/backends/apple/mps/runtime/MPSStream.mm b/backends/apple/mps/runtime/MPSStream.mm
index 5dac5c913a..652d44aa02 100644
--- a/backends/apple/mps/runtime/MPSStream.mm
+++ b/backends/apple/mps/runtime/MPSStream.mm
@@ -55,7 +55,7 @@ @interface MPSGraphExecutionDescriptor ()
   return _commandEncoder;
 }
 
-__ET_NODISCARD
+ET_NODISCARD
 Error MPSStream::synchronize(SyncType syncType) {
   endKernelCoalescing();
   switch(syncType) {
@@ -157,7 +157,7 @@ @interface MPSGraphExecutionDescriptor ()
       endKernelCoalescing();
       if (@available(iOS 13.0, *)) {
         id<MTLBlitCommandEncoder> blitEncoder = [commandBuffer() blitCommandEncoder];
-        
+
         [blitEncoder copyFromBuffer:srcBuffer
                        sourceOffset:(NSUInteger)srcOffset
                            toBuffer:dstBuffer
diff --git a/backends/apple/mps/runtime/operations/BinaryOps.mm b/backends/apple/mps/runtime/operations/BinaryOps.mm
index fa366d93e7..0eba5bc805 100644
--- a/backends/apple/mps/runtime/operations/BinaryOps.mm
+++ b/backends/apple/mps/runtime/operations/BinaryOps.mm
@@ -119,7 +119,7 @@
     graphNode->output_id()                                                         \
   );                                                                               \
   ET_CHECK_OR_RETURN_ERROR(                                                        \
-    isMacOS13OrNewer(), NotSupported,                                              \
+    is_macos_13_or_newer(), NotSupported,                                              \
     "%s supported by MPS on MacOS13.0+/iOS16.1+", #aot_name);                       \
                                                                                    \
   _idToMPSGraphTensor[graphNode->output_id()] = binaryOpTensor(                    \
@@ -176,7 +176,7 @@
     return inputTensor;
   }
 
-  if (!isMacOS13OrNewer(MacOSVersion::MACOS_VER_13_0_PLUS)) {
+  if (!is_macos_13_or_newer(MacOSVersion::MACOS_VER_13_0_PLUS)) {
     MPSGraphTensor* zeroTensor = [mpsGraph constantWithScalar:0.0 dataType:inputTensor.dataType];
     MPSGraphTensor* predicateTensor = [mpsGraph lessThanWithPrimaryTensor:inputTensor
                                                           secondaryTensor:zeroTensor
diff --git a/backends/apple/mps/runtime/operations/MPSGraphSequoiaOps.h b/backends/apple/mps/runtime/operations/MPSGraphSequoiaOps.h
new file mode 100644
index 0000000000..ca5474eb13
--- /dev/null
+++ b/backends/apple/mps/runtime/operations/MPSGraphSequoiaOps.h
@@ -0,0 +1,56 @@
+#pragma once
+
+#include <MetalPerformanceShadersGraph/MetalPerformanceShadersGraph.h>
+
+#if !defined(__MAC_15_0) && (!defined(MAC_OS_X_VERSION_15_0) || (MAC_OS_X_VERSION_MIN_REQUIRED < MAC_OS_X_VERSION_15_0))
+
+#define MPSDataTypeInt4 ((MPSDataType)(MPSDataTypeSignedBit | 4))
+
+@interface MPSNDArrayIdentity : MPSNDArrayUnaryKernel
+- (MPSNDArray *__nullable)reshapeWithCommandBuffer:(__nullable id<MTLCommandBuffer>)cmdBuf
+                                       sourceArray:(MPSNDArray *__nonnull)sourceArray
+                                             shape:(MPSShape *__nonnull)shape
+                                  destinationArray:(MPSNDArray *__nullable)destinationArray;
+@end
+
+@interface MPSNDArrayDescriptor ()
+@property(readwrite, nonatomic) BOOL preferPackedRows;
+@end
+
+@interface MPSNDArray ()
+- (nonnull instancetype)initWithBuffer:(id<MTLBuffer> _Nonnull)buffer
+                                offset:(NSUInteger)offset
+                            descriptor:(MPSNDArrayDescriptor *_Nonnull)descriptor;
+- (MPSNDArray *__nullable)arrayViewWithShape:(MPSShape *_Nullable)shape strides:(MPSShape *_Nonnull)strides;
+@end
+
+@interface MPSNDArrayQuantizationDescriptor : NSObject<NSCopying>
+@end
+
+@interface MPSNDArrayQuantizedMatrixMultiplication : MPSNDArrayMatrixMultiplication
+- (nonnull instancetype)initWithDevice:(nonnull id<MTLDevice>)device
+            leftQuantizationDescriptor:(MPSNDArrayQuantizationDescriptor *_Nullable)leftQuantizationDescriptor
+           rightQuantizationDescriptor:(MPSNDArrayQuantizationDescriptor *_Nullable)rightQuantizationDescriptor;
+
+- (void)encodeToCommandEncoder:(id<MTLComputeCommandEncoder> _Nullable)encoder
+                 commandBuffer:(nonnull id<MTLCommandBuffer>)commandBuffer
+                  sourceArrays:(nonnull NSArray<MPSNDArray *> *)sourceArrays
+              destinationArray:(nonnull MPSNDArray *)destination;
+@end
+
+@interface MPSNDArrayAffineQuantizationDescriptor : MPSNDArrayQuantizationDescriptor
+- (nonnull instancetype)initWithDataType:(MPSDataType)quantizationDataType
+                            hasZeroPoint:(BOOL)hasZeroPoint
+                             hasMinValue:(BOOL)hasMinValue;
+@property(readwrite, nonatomic) bool implicitZeroPoint;
+@end
+
+@interface MPSGraph ()
+- (MPSGraphTensor *_Nonnull)dequantizeTensor:(MPSGraphTensor *_Nonnull)tensor
+                                 scaleTensor:(MPSGraphTensor *_Nonnull)scaleTensor
+                             zeroPointTensor:(MPSGraphTensor *_Nonnull)zeroPointTensor
+                                    dataType:(MPSDataType)dataType
+                                        name:(NSString *_Nullable)name;
+@end
+
+#endif
diff --git a/backends/apple/mps/runtime/operations/OperationUtils.mm b/backends/apple/mps/runtime/operations/OperationUtils.mm
index 21c4a0d3e7..2336868863 100644
--- a/backends/apple/mps/runtime/operations/OperationUtils.mm
+++ b/backends/apple/mps/runtime/operations/OperationUtils.mm
@@ -27,9 +27,17 @@
     case DataType::mps_data_type_float16:
       return MPSDataTypeFloat16;
     case DataType::mps_data_type_float32:
+    case DataType::mps_data_type_float64:
       return MPSDataTypeFloat32;
     case DataType::mps_data_type_int8:
       return MPSDataTypeInt8;
+    case DataType::mps_data_type_int4: {
+      if (@available(macOS 15.0, iOS 18.0, tvOS 18.0, *)) {
+        return MPSDataTypeInt4;
+      } else {
+        return ((MPSDataType)(MPSDataTypeSignedBit | 4));
+      }
+    }
     case DataType::mps_data_type_int16:
       return MPSDataTypeInt16;
     case DataType::mps_data_type_int32:
@@ -88,10 +96,11 @@
 NSData*
 MPSGraphBuilder::getConstantData(int32_t id) {
   TensorPtr mpsTensor = _flatBufferGraph->mps_values()->Get(id);
-  int32_t constantBufferSize = mpsTensor->constant_buffer_size();
-  const unsigned char* constantBuffer = mpsTensor->constant_buffer()->storage()->data();
+  uint64_t constantBufferSize = mpsTensor->constant_buffer_size();
+  uint64_t segmentOffset = mpsTensor->segment_offset();
+  const unsigned char* constantBuffer = _constant_data_ptr + segmentOffset;
   ET_CHECK_MSG(constantBufferSize > 0 && constantBuffer != nullptr, "[ERROR] Invalid constant buffer");
-  return [[NSData alloc] initWithBytes:constantBuffer
+  return [[NSData alloc] initWithBytesNoCopy:(void*)constantBuffer
                                 length:constantBufferSize];
 }
 
@@ -216,6 +225,8 @@
     _DEFINE_MPS_NODE(ConstantPadND);
     // Range ops
     _DEFINE_MPS_NODE(Arange);
+    // Quant-Dequant ops
+    _DEFINE_MPS_NODE(DequantizePerChannelGroup);
 
     case mpsgraph::MPSNodeUnion::NONE:
     default:
@@ -313,32 +324,26 @@ MPSDataType getMPSScalarType(exec_aten::ScalarType scalar_type) {
 
 
 MPSGraphTensor* permuteTensor(MPSGraph* graph, MPSGraphTensor* inputTensor, NSArray* permuteOrder) {
-  if (isMacOS13OrNewer()) {
-   return [graph transposeTensor:inputTensor
-                     permutation:permuteOrder
-                            name:nil];
-  } else {
-    NSUInteger srcRank = [[inputTensor shape] count];
-    if (srcRank != [permuteOrder count]) {
-      return nil;
-    }
-
-    MPSGraphTensor* outputTensor = inputTensor;
-    std::vector<NSUInteger> dimensionOrder(srcRank);
-    std::iota(std::begin(dimensionOrder), std::end(dimensionOrder), 0);
+  NSUInteger srcRank = [[inputTensor shape] count];
+  if (srcRank != [permuteOrder count]) {
+    return nil;
+  }
 
-    for (int32_t i = 0; i < srcRank; i++) {
-      NSUInteger axis = [permuteOrder[i] integerValue];
-      auto axisIter = std::find(dimensionOrder.begin(), dimensionOrder.end(), axis);
-      NSUInteger axis1 = i;
-      NSUInteger axis2 = axisIter - dimensionOrder.begin();
-      iter_swap(dimensionOrder.begin() + i, axisIter);
+  MPSGraphTensor* outputTensor = inputTensor;
+  std::vector<NSUInteger> dimensionOrder(srcRank);
+  std::iota(std::begin(dimensionOrder), std::end(dimensionOrder), 0);
 
-      outputTensor = [graph transposeTensor:outputTensor dimension:axis1 withDimension:axis2 name:nil];
-    }
+  for (int32_t i = 0; i < srcRank; i++) {
+    NSUInteger axis = [permuteOrder[i] integerValue];
+    auto axisIter = std::find(dimensionOrder.begin(), dimensionOrder.end(), axis);
+    NSUInteger axis1 = i;
+    NSUInteger axis2 = axisIter - dimensionOrder.begin();
+    iter_swap(dimensionOrder.begin() + i, axisIter);
 
-    return outputTensor;
+    outputTensor = [graph transposeTensor:outputTensor dimension:axis1 withDimension:axis2 name:nil];
   }
+
+  return outputTensor;
 }
 
 
diff --git a/backends/apple/mps/runtime/operations/QuantDequant.mm b/backends/apple/mps/runtime/operations/QuantDequant.mm
new file mode 100644
index 0000000000..c37282f79a
--- /dev/null
+++ b/backends/apple/mps/runtime/operations/QuantDequant.mm
@@ -0,0 +1,52 @@
+//
+//  Copyright (c) 2024 Apple Inc. All rights reserved.
+//  Provided subject to the LICENSE file in the top level directory.
+//
+
+#include <executorch/backends/apple/mps/runtime/MPSGraphBuilder.h>
+
+namespace torch {
+namespace executor {
+namespace mps {
+namespace delegate {
+
+Error
+MPSGraphBuilder::mpsDequantizePerChannelGroupOp(NodePtr nodePtr) {
+  auto graphNode = nodePtr->mpsnode_union_as_MPSDequantizePerChannelGroup();
+  ET_LOG(
+    Debug, "%s: (%d, %d, %d) -> %d",
+    __FUNCTION__,
+    graphNode->input1_id(),
+    graphNode->scales_id(),
+    graphNode->zero_points_id(),
+    graphNode->output_id()
+  );
+
+  ET_CHECK_OR_RETURN_ERROR(
+    is_macos_13_or_newer(MacOSVersion::MACOS_VER_15_0_PLUS),
+    NotImplemented,
+    "[ERROR] Operation %s is supported starting with macOS 15.0+ | iOS 18.0 + | iPadOS 18+ | tvOS 18+ | visionOS 2.0+ !",
+    mpsgraph::EnumNameMPSNodeUnion(nodePtr->mpsnode_union_type()));
+
+  MPSGraphTensor* inputTensor = getMPSGraphTensor(graphNode->input1_id());
+  MPSGraphTensor* scalesTensor = getMPSGraphTensor(graphNode->scales_id());
+  if (@available(macOS 15.0, iOS 18.0, tvOS 18.0, *)) {
+    MPSGraphTensor *zpTensor = [_mpsGraph constantWithScalar:0
+                                                  dataType:MPSDataTypeInt4];
+    MPSGraphTensor *wDqTensor = [_mpsGraph dequantizeTensor:inputTensor
+                                                scaleTensor:scalesTensor
+                                            zeroPointTensor:zpTensor
+                                                  dataType:MPSDataTypeFloat16
+                                                      name:nil];
+    _idToMPSGraphTensor[graphNode->output_id()] = wDqTensor;
+  } else {
+    _idToMPSGraphTensor[graphNode->output_id()] = nil;
+  }
+
+  return Error::Ok;
+}
+
+} // namespace delegate
+} // namespace mps
+} // namespace executor
+} // namespace torch
diff --git a/backends/apple/mps/runtime/operations/UnaryOps.mm b/backends/apple/mps/runtime/operations/UnaryOps.mm
index ed06584b27..15a101b664 100644
--- a/backends/apple/mps/runtime/operations/UnaryOps.mm
+++ b/backends/apple/mps/runtime/operations/UnaryOps.mm
@@ -33,7 +33,7 @@
     _idToMPSGraphTensor[graphNode->output_id()] = [_mpsGraph notWithTensor:inputTensor name:nil];
   } else {
     ET_CHECK_OR_RETURN_ERROR(
-      isMacOS13OrNewer(), NotSupported,
+      is_macos_13_or_newer(), NotSupported,
       "mpsBitwiseNotOp supported by MPS on MacOS13.0+/iOS16.1+");
     _idToMPSGraphTensor[graphNode->output_id()] = [_mpsGraph bitwiseNOTWithTensor:inputTensor name:nil];
   }
diff --git a/backends/apple/mps/serialization/mps_graph_schema.py b/backends/apple/mps/serialization/mps_graph_schema.py
index 6909926e8c..bd7185feb4 100644
--- a/backends/apple/mps/serialization/mps_graph_schema.py
+++ b/backends/apple/mps/serialization/mps_graph_schema.py
@@ -16,15 +16,27 @@ class MPSDataType(IntEnum):
     mps_data_type_invalid = 0
     mps_data_type_float16 = 1
     mps_data_type_float32 = 2
-    mps_data_type_bfloat16 = 3
-    mps_data_type_int8 = 4
-    mps_data_type_int16 = 5
-    mps_data_type_int32 = 6
-    mps_data_type_int64 = 7
-    mps_data_type_uint8 = 8
-    mps_data_type_bool = 9
-    mps_data_type_complex_float16 = 10
-    mps_data_type_complex_float32 = 11
+    mps_data_type_float64 = 3
+    mps_data_type_bfloat16 = 4
+
+    # Signed integers.
+    mps_data_type_int4 = 5
+    mps_data_type_int8 = 6
+    mps_data_type_int16 = 7
+    mps_data_type_int32 = 8
+    mps_data_type_int64 = 9
+
+    # Unsigned integers. range: [0, UTYPE_MAX]
+    mps_data_type_uint4 = 10
+    mps_data_type_uint8 = 11
+    mps_data_type_uint16 = 12
+    mps_data_type_uint32 = 13
+    mps_data_type_uint64 = 14
+
+    mps_data_type_bool = 15
+
+    mps_data_type_complex_float16 = 16
+    mps_data_type_complex_float32 = 17
 
 
 class OpType(IntEnum):
@@ -58,6 +70,12 @@ class MPSNode3x1:
     output_id: int
 
 
+@dataclass
+class MPSDequantizeNode(MPSNode1x1):
+    scales_id: int
+    zero_points_id: int
+
+
 @dataclass
 class MPSConv(MPSNode3x1):
     stride_x: int = 0
@@ -640,6 +658,18 @@ class MPSArange:
     dtype: MPSDataType
 
 
+##
+## Quant - Dequant ops
+##
+@dataclass
+class MPSDequantizePerChannelGroup(MPSDequantizeNode):
+    quant_min: int
+    quant_max: int
+    dtype: MPSDataType
+    group_size: int
+    output_dtype: MPSDataType
+
+
 MPSNodeUnion = Union[
     # Activation ops
     MPSHardTanh,
@@ -743,6 +773,8 @@ class MPSArange:
     MPSConstantPadND,
     # Range ops
     MPSArange,
+    # Quant-Dequant ops
+    MPSDequantizePerChannelGroup,
 ]
 
 
@@ -763,7 +795,14 @@ class MPSTensor:
     num_dims: int
     dims: List[int]
     constant_buffer_size: int
-    constant_buffer: Buffer
+    constant_buffer: Buffer  # deprecated
+    segment_offset: int = 0
+
+
+@dataclass
+class DataSegment:
+    offset: int
+    size: int
 
 
 @dataclass
@@ -775,3 +814,4 @@ class MPSGraph:
     output_ids: List[int]
     constant_ids: List[int]
     graph_type: OpType
+    constant_segment: DataSegment
diff --git a/backends/apple/mps/serialization/schema.fbs b/backends/apple/mps/serialization/schema.fbs
index 6e089d4526..d38a67a656 100644
--- a/backends/apple/mps/serialization/schema.fbs
+++ b/backends/apple/mps/serialization/schema.fbs
@@ -13,15 +13,28 @@ enum MPSDataType : short {
   mps_data_type_invalid = 0,
   mps_data_type_float16 = 1,
   mps_data_type_float32 = 2,
-  mps_data_type_bfloat16 = 3,
-  mps_data_type_int8 = 4,
-  mps_data_type_int16 = 5,
-  mps_data_type_int32 = 6,
-  mps_data_type_int64 = 7,
-  mps_data_type_uint8 = 8,
-  mps_data_type_bool = 9,
-  mps_data_type_complex_float16 = 10,
-  mps_data_type_complex_float32 = 11,
+  mps_data_type_float64 = 3,
+  mps_data_type_bfloat16 = 4,
+
+  // Signed integers.
+  mps_data_type_int4 = 5,
+  mps_data_type_int8 = 6,
+  mps_data_type_int16 = 7,
+  mps_data_type_int32 = 8,
+  mps_data_type_int64 = 9,
+
+
+  // Unsigned integers. range: [0, UTYPE_MAX]
+  mps_data_type_uint4 = 10,
+  mps_data_type_uint8 = 11,
+  mps_data_type_uint16 = 12,
+  mps_data_type_uint32 = 13,
+  mps_data_type_uint64 = 14,
+
+  mps_data_type_bool = 15,
+
+  mps_data_type_complex_float16 = 16,
+  mps_data_type_complex_float32 = 17,
 }
 
 // ops like index.Tensor and index.put are currentely implemented as
@@ -322,6 +335,19 @@ table MPSArange {
   dtype:MPSDataType;
 }
 
+// Quant - Dequant ops
+table MPSDequantizePerChannelGroup {
+  input1_id:int;
+  output_id:int;
+  scales_id:int;
+  zero_points_id:int;
+  quant_min:int;
+  quant_max:int;
+  dtype:MPSDataType;
+  group_size:int;
+  output_dtype:MPSDataType;
+}
+
 union MPSNodeUnion {
     // Activation ops
     MPSHardTanh,
@@ -441,6 +467,9 @@ union MPSNodeUnion {
 
     // Range ops
     MPSArange,
+
+    // Quant-Dequant ops
+    MPSDequantizePerChannelGroup,
 }
 
 table MPSNode {
@@ -450,6 +479,7 @@ table MPSNode {
 
 // taken from executorch
 // Data buffer abstraction.
+// Deprecated
 table Buffer {
   storage:[ubyte] (force_align: 16);
 }
@@ -458,8 +488,21 @@ table MPSTensor {
   datatype:MPSDataType;
   num_dims:int;
   dims:[int];
-  constant_buffer_size:int;
-  constant_buffer:Buffer;
+  constant_buffer_size:uint64;
+  constant_buffer:Buffer; // deprecated
+  segment_offset:uint64;
+}
+
+table DataSegment {
+  // Segment offsets are relative to the segment base offset provided in
+  // the extended file header. Segments will typically be aligned in a
+  // way to make it possible to use mmap() to load them.
+  offset: uint64;
+
+  // The size in bytes of valid data starting at the offset. The segment
+  // data may be followed by padding before the segment that follows it,
+  // to make it easier to use mmap().
+  size: uint64;
 }
 
 table MPSGraph {
@@ -473,6 +516,8 @@ table MPSGraph {
   constant_ids:[int];
 
   graph_type:OpType;
+
+  constant_segment:DataSegment;
 }
 
 root_type MPSGraph;
diff --git a/backends/apple/mps/targets.bzl b/backends/apple/mps/targets.bzl
index 8b9c64e143..74d7944836 100644
--- a/backends/apple/mps/targets.bzl
+++ b/backends/apple/mps/targets.bzl
@@ -47,7 +47,7 @@ def define_common_targets(is_xplat = False, platforms = []):
             "//executorch/exir/backend:backend_lib",
             "//executorch/extension/pybindings/...",
             "//executorch/runtime/backend/...",
-            "//executorch/sdk/runners/...",
+            "//executorch/devtools/runners/...",
             "//executorch/test/...",
             "@EXECUTORCH_CLIENTS",
         ],
diff --git a/backends/apple/mps/test/test_mps_linear.py b/backends/apple/mps/test/test_mps_linear.py
new file mode 100644
index 0000000000..e2abbd3b7b
--- /dev/null
+++ b/backends/apple/mps/test/test_mps_linear.py
@@ -0,0 +1,523 @@
+#
+#  Copyright (c) 2024 Apple Inc. All rights reserved.
+#  Provided subject to the LICENSE file in the top level directory.
+#
+
+import inspect
+
+import unittest
+
+from typing import Tuple
+
+import torch
+from executorch.backends.apple.mps.test.test_mps_utils import TestMPS
+
+
+class TestLinear(TestMPS):
+    @unittest.skip("Dynamic shapes not supported in MPS backend")
+    def test_fp16_linear(self):
+        for use_bias in (True, False):
+            for num_batch_dims in range(1, 3):
+                self._test_linear(
+                    lambda in_size, out_size: torch.nn.Linear(
+                        in_size, out_size, bias=use_bias  # noqa
+                    ),
+                    num_batch_dims=num_batch_dims,
+                    uses_bias=use_bias,
+                    dtype=torch.float16,
+                    atol=5e-2,
+                )
+
+    @unittest.skip("Dynamic shapes not supported in MPS backend")
+    def test_fp32_linear(self):
+        for use_bias in (True, False):
+            for num_batch_dims in range(1, 3):
+                self._test_linear(
+                    lambda in_size, out_size: torch.nn.Linear(
+                        in_size, out_size, bias=use_bias  # noqa
+                    ),
+                    uses_bias=use_bias,
+                    num_batch_dims=num_batch_dims,
+                )
+
+    @unittest.skip("Dynamic shapes not supported in MPS backend")
+    def test_qc8_linear(self):
+        for use_bias in (True, False):
+            for num_batch_dims in range(1, 3):
+                self._test_linear(
+                    lambda in_size, out_size: torch.nn.Linear(
+                        in_size, out_size, bias=use_bias  # noqa
+                    ),
+                    uses_bias=use_bias,
+                    quant_type="per_channel",
+                    num_batch_dims=num_batch_dims,
+                )
+
+    @unittest.skip("Dynamic shapes not supported in MPS backend")
+    def test_fp32_addmm(self):
+        """
+        Note that the ConvertToLinear pass requires the weight matrix to be transposed.
+        """
+
+        class AddMMModule(torch.nn.Module):
+            def __init__(self, in_size, out_size):
+                super().__init__()
+                self.mat = torch.nn.Parameter(torch.randn(in_size, out_size))
+                self.bias = torch.nn.Parameter(torch.randn(1, out_size))
+
+            def forward(self, x):
+                return torch.addmm(self.bias, x, self.mat)
+
+        self._test_linear(
+            lambda in_size, out_size: AddMMModule(in_size, out_size),
+            uses_bias=True,
+        )
+
+    @unittest.skip("Dynamic shapes not supported in MPS backend")
+    def test_fp32_linear_fused_relu(self):
+        class LinearReluModule(torch.nn.Module):
+            def __init__(self, in_size, out_size, use_bias):
+                super().__init__()
+                self.linear = torch.nn.Linear(in_size, out_size, bias=use_bias)
+
+            def forward(self, x):
+                return torch.nn.functional.relu(self.linear(x))
+
+        for use_bias in (True, False):
+            for num_batch_dims in range(1, 3):
+                self._test_linear(
+                    lambda in_size, out_size: LinearReluModule(
+                        in_size,
+                        out_size,
+                        use_bias,  # noqa
+                    ),
+                    uses_bias=use_bias,
+                    num_batch_dims=num_batch_dims,
+                )
+
+    @unittest.skip("Dynamic shapes not supported in MPS backend")
+    def test_qs8_linear_fused_relu(self):
+        class LinearReluModule(torch.nn.Module):
+            def __init__(self, in_size, out_size, use_bias):
+                super().__init__()
+                self.linear = torch.nn.Linear(in_size, out_size, bias=use_bias)
+
+            def forward(self, x):
+                return torch.nn.functional.relu(self.linear(x))
+
+        for use_bias in (True, False):
+            for num_batch_dims in range(1, 3):
+                self._test_linear(
+                    lambda in_size, out_size: LinearReluModule(
+                        in_size,
+                        out_size,
+                        use_bias,  # noqa
+                    ),
+                    num_batch_dims=num_batch_dims,
+                    uses_bias=use_bias,
+                    quant_type="per_tensor",
+                )
+
+    @unittest.skip("Dynamic shapes not supported in MPS backend")
+    def test_qs8_linear(self):
+        for use_bias in (True, False):
+            for num_batch_dims in range(1, 3):
+                self._test_linear(
+                    lambda in_size, out_size: torch.nn.Linear(
+                        in_size, out_size, bias=use_bias  # noqa
+                    ),
+                    uses_bias=use_bias,
+                    num_batch_dims=num_batch_dims,
+                    quant_type="per_tensor",
+                )
+
+    @unittest.skip(
+        "quantized_decomposed_dequantize_per_channel_default is not supported bt MPS delegate"
+    )
+    def test_qd8_fp32_per_token_weight_per_channel_int8(self):
+        self._run_manual_dqlinear_tests(8, torch.float)
+
+    @unittest.skip(
+        "quantized_decomposed_dequantize_per_channel_default is not supported bt MPS delegate"
+    )
+    def test_qd8_fp32_per_token_weight_per_channel_int4(self):
+        self._run_manual_dqlinear_tests(4, torch.float)
+
+    def test_qd8_fp32_per_token_weight_per_channel_group_int4(self):
+        M_sizes = [1]
+        K_sizes = [64]
+        bl_sizes = [64]
+        N_sizes = [32]
+
+        for use_bias in [True, False]:
+            for i, _ in enumerate(M_sizes):
+                M = int(M_sizes[i])
+                K = int(K_sizes[i])
+                N = int(N_sizes[i])
+                bl = int(bl_sizes[i])
+                mod = self.ManualDQLinear(
+                    input_channels=K,
+                    output_channels=N,
+                    weight_n_bit=4,
+                    dtype=torch.float,
+                    group_size=bl,
+                    force_groupwise_quant=True,
+                    use_bias=use_bias,
+                )
+
+                inputs = (torch.randn(1, M, K),)
+                self._test_manual_dq_linear(
+                    mod,
+                    inputs,
+                    weight_groupwise=True,
+                    use_bias=use_bias,
+                )
+
+    @unittest.skip("Need to fix the dq_per_channel_group output dtype")
+    def _test_qd8_fp16_per_token_weight_per_channel_group_int4(self):
+        M_sizes = [1, 2, 17, 31]
+        K_sizes = [8, 32, 64, 128]
+        bl_sizes = [8, 16, 16, 32]
+        N_sizes = [2, 17, 92, 128]
+
+        for use_bias in [True, False]:
+            for i, _ in enumerate(M_sizes):
+                M = int(M_sizes[i])
+                K = int(K_sizes[i])
+                N = int(N_sizes[i])
+                bl = int(bl_sizes[i])
+                mod = self.ManualDQLinear(
+                    input_channels=K,
+                    output_channels=N,
+                    weight_n_bit=4,
+                    dtype=torch.float16,
+                    group_size=bl,
+                    force_groupwise_quant=True,
+                    use_bias=use_bias,
+                )
+
+                inputs = (torch.randn(1, M, K, dtype=torch.float16),)
+                self._test_manual_dq_linear(
+                    mod,
+                    inputs,
+                    weight_groupwise=True,
+                    use_bias=use_bias,
+                    atol=0.1,
+                    rtol=0.1,
+                )
+
+    def _test_linear(
+        self,
+        make_module,
+        uses_bias,
+        num_batch_dims=1,
+        quant_type=None,
+        dtype: torch.dtype = torch.float,
+        atol=1e-03,
+    ):
+        in_sizes = [3, 4, 4]
+        input_sizes = [4, 37, 17]
+        output_sizes = [4, 17, 37]
+
+        for i, _ in enumerate(in_sizes):
+            in_size = int(in_sizes[i])
+            input_size = int(input_sizes[i])
+            output_size = int(output_sizes[i])
+            input_shape = [in_size] * num_batch_dims + [input_size]
+            print(f"Testing input_shape {input_shape} with {output_size} out_channels")
+
+            module = make_module(input_size, output_size).eval().to(dtype)
+            inputs = (torch.randn(input_shape).to(dtype),)
+            dynamic_shape = {}
+            for i in range(num_batch_dims):
+                dynamic_shape[i] = torch.export.Dim(f"batch{i}", min=2, max=in_size)
+
+            dynamic_shape = (dynamic_shape,)
+            print(dynamic_shape)
+            self.lower_and_test_without_partitioner(
+                module,
+                inputs,
+                func_name=inspect.stack()[0].function[5:],
+                dynamic_shapes=dynamic_shape,
+                atol=atol,
+                rtol=1e-03,
+            )
+
+    class ManualDQLinear(torch.nn.Module):
+        def __init__(
+            self,
+            input_channels: int = 4,
+            output_channels: int = 4,
+            dtype: torch.dtype = torch.float,
+            weight_n_bit: int = 4,
+            group_size: int = 0,
+            force_groupwise_quant: bool = False,
+            use_bias: bool = False,
+        ):
+            super().__init__()
+
+            self.ic = input_channels
+            self.oc = output_channels
+
+            assert dtype in [torch.float, torch.half], "Unsupported op dtype"
+            self.op_dtype = dtype
+
+            self.group_size = self.ic if group_size == 0 else group_size
+            self.num_groups = 1
+            if self.group_size != self.ic:
+                assert self.ic % self.group_size == 0
+                assert self.group_size % 8 == 0  # TODO make this 16
+                self.num_groups = self.ic // self.group_size
+
+            assert weight_n_bit in [4, 8], "Unsupported weight_n_bit"
+            self.w_n_bit = weight_n_bit
+            self.w_quant_min, self.w_quant_max = self.get_min_max(self.w_n_bit)
+
+            self.w = torch.nn.Parameter(
+                torch.randn(self.oc, self.ic), requires_grad=False
+            )
+            self.w_q = torch.nn.Parameter(
+                torch.zeros(self.oc, self.ic), requires_grad=False
+            )
+            # Quantize the weights as per folded setup
+            if self.group_size != self.ic or force_groupwise_quant:
+                self.w_scales = torch.nn.Parameter(
+                    torch.zeros(self.oc, self.num_groups), requires_grad=False
+                )
+                self.w_zero_points = torch.nn.Parameter(
+                    torch.zeros(self.oc, self.num_groups), requires_grad=False
+                )
+                self.quant_weight_per_channel_group()
+            else:  # per_channel quantization
+                self.w_scales = torch.nn.Parameter(
+                    torch.zeros(self.oc), requires_grad=False
+                )
+                self.w_zero_points = torch.nn.Parameter(
+                    torch.zeros(self.oc), requires_grad=False
+                )
+                self.quant_weight_per_channel()
+
+            self.bias = (
+                torch.nn.Parameter(
+                    torch.randn(self.oc).to(self.op_dtype), requires_grad=False
+                )
+                if use_bias
+                else None
+            )
+
+        def get_min_max(self, n_bit: int = 4):
+            max_int = 2 ** (n_bit - 1) - 1
+            min_int = -(2 ** (n_bit - 1))
+            return min_int, max_int
+
+        def get_channel_qparams_symmetric(
+            self,
+            w: torch.Tensor,
+            n_bit: int = 4,
+            precision: torch.dtype = torch.float32,
+        ):
+            assert w.dim() == 2
+
+            to_quant = w.to(precision)
+            assert torch.isnan(to_quant).sum() == 0
+
+            max_val = to_quant.amax(dim=1, keepdim=True)
+            min_val = to_quant.amin(dim=1, keepdim=True)
+            min_val_neg = torch.min(min_val, torch.zeros_like(min_val))
+            max_val_pos = torch.max(max_val, torch.zeros_like(max_val))
+
+            min_int, max_int = self.get_min_max(n_bit)
+
+            max_val_abs = torch.max(-min_val_neg, max_val_pos)
+            scales = max_val_abs / (float(max_int - min_int) / 2)
+            scales = torch.max(
+                scales, torch.full_like(scales, torch.finfo(torch.float32).eps)
+            )
+            zeros = torch.full_like(scales, 0)
+            return scales.to(precision).reshape(w.shape[0]), zeros.to(
+                precision
+            ).reshape(w.shape[0]).reshape(w.shape[0])
+
+        # Note: not using from torchao.quantization.quant_primitives because it will run into op registraion issues
+        def get_group_qparams_symmetric(
+            self, w, n_bit=4, groupsize=128, precision=torch.float32
+        ):
+            # needed for GPTQ with padding
+            if groupsize > w.shape[-1]:
+                groupsize = w.shape[-1]
+            assert groupsize > 1
+            assert w.shape[-1] % groupsize == 0
+            assert w.dim() == 2
+
+            to_quant = w.reshape(-1, groupsize)
+            assert torch.isnan(to_quant).sum() == 0
+
+            max_val = to_quant.amax(dim=1, keepdim=True)
+            min_val = to_quant.amin(dim=1, keepdim=True)
+            min_val_neg = torch.min(min_val, torch.zeros_like(min_val))
+            max_val_pos = torch.max(max_val, torch.zeros_like(max_val))
+
+            max_val_abs = torch.max(-min_val_neg, max_val_pos)
+            max_int = 2 ** (n_bit - 1) - 1
+            min_int = -(2 ** (n_bit - 1))
+
+            scales = max_val_abs / (float(max_int - min_int) / 2)
+            scales = torch.max(
+                scales, torch.full_like(scales, torch.finfo(torch.float32).eps)
+            )
+            # TODO: make sure abs(scales) is not too small?
+            zeros = torch.full_like(scales, 0)
+            return scales.to(precision).reshape(w.shape[0], -1), zeros.to(
+                precision
+            ).reshape(w.shape[0], -1)
+
+        # Note: not using from torchao.quantization.quant_primitives because it will run into op registraion issues
+        def group_quantize_tensor_symmetric(
+            self, w, n_bit=4, group_size=128, precision=torch.float32
+        ):
+            scales, zeros = self.get_group_qparams_symmetric(
+                w, n_bit, group_size, precision
+            )
+            n_bit = 4
+            max_int = 2 ** (n_bit - 1) - 1
+            min_int = -(2 ** (n_bit - 1))
+            # TODO: currently we don't know how to express torch.int4, we'll
+            # add torch.int4 to core later
+            w_int8 = torch.ops.quantized_decomposed.quantize_per_channel_group(
+                w, scales, zeros, min_int, max_int, torch.int8, group_size
+            )
+
+            return w_int8, scales, zeros
+
+        def fwd_input_per_token(self, input: torch.Tensor) -> torch.Tensor:
+            ip_quant_min = -128
+            ip_quant_max = 127
+            (
+                ip_scales,
+                ip_zero_points,
+            ) = torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric(
+                input, torch.int8
+            )
+
+            input = torch.ops.quantized_decomposed.quantize_per_token(
+                input,
+                ip_scales,
+                ip_zero_points,
+                ip_quant_min,
+                ip_quant_max,
+                torch.int8,
+            )
+            input = torch.ops.quantized_decomposed.dequantize_per_token(
+                input,
+                ip_scales,
+                ip_zero_points,
+                ip_quant_min,
+                ip_quant_max,
+                torch.int8,
+                self.op_dtype,
+            )
+            return input
+
+        def quant_weight_per_channel(self):
+            (
+                self.w_scales.data,
+                self.w_zero_points.data,
+            ) = self.get_channel_qparams_symmetric(
+                self.w, n_bit=self.w_n_bit, precision=self.op_dtype
+            )
+            self.w_q.data = torch.ops.quantized_decomposed.quantize_per_channel(
+                self.w,
+                self.w_scales,
+                self.w_zero_points,
+                axis=0,
+                quant_min=self.w_quant_min,
+                quant_max=self.w_quant_max,
+                dtype=torch.int8,
+            )
+
+        def quant_weight_per_channel_group(self):
+            self.w_q.data, w, zp = self.group_quantize_tensor_symmetric(
+                self.w,
+                n_bit=self.w_n_bit,
+                group_size=self.group_size,
+            )
+            expected_min, expected_max = self.get_min_max(self.w_n_bit)
+            assert (
+                torch.min(self.w_q.data) >= expected_min
+            ), "Found smaller than min element in quantized weight tensor"
+            assert (
+                torch.max(self.w_q.data) <= expected_max
+            ), "Found larger than max element in quantized weight tensor"
+            assert (
+                w.ndim == 2 and zp.ndim == 2
+            ), f"Expecting 2d scales and zp tensors, but got {w.shape}, {zp.shape}"
+            self.w_scales.data, self.w_zero_points.data = w, zp
+
+        def fwd_weight_per_channel(self) -> torch.Tensor:
+            # This is HACKY because the dequant will produce fp32
+            return torch.ops.quantized_decomposed.dequantize_per_channel(
+                self.w_q,
+                self.w_scales,
+                self.w_zero_points,
+                axis=0,
+                quant_min=self.w_quant_min,
+                quant_max=self.w_quant_max,
+                dtype=torch.int8,  # Regardless of w_n_bit, convert to 4b later
+            )
+
+        def fwd_weight_per_channel_group(self) -> torch.Tensor:
+            return torch.ops.quantized_decomposed.dequantize_per_channel_group(
+                self.w_q,
+                self.w_scales,
+                self.w_zero_points,
+                self.w_quant_min,
+                self.w_quant_max,
+                dtype=torch.int8,  # Regardless of w_n_bit, convert to 4b later
+                group_size=self.group_size,
+                output_dtype=self.op_dtype,
+            )
+
+        def forward(self, input: torch.Tensor) -> torch.Tensor:
+            # Input
+            input = self.fwd_input_per_token(input)
+
+            # Weights
+            w = (
+                self.fwd_weight_per_channel_group()
+                if self.w_scales.ndim == 2
+                else self.fwd_weight_per_channel()
+            )
+            assert isinstance(w, torch.Tensor)
+            return torch.nn.functional.linear(input, w, self.bias)
+
+    def _test_manual_dq_linear(
+        self,
+        mod: torch.nn.Module,
+        inputs: Tuple[torch.Tensor],
+        weight_groupwise: bool = False,
+        use_bias: bool = False,
+    ):
+        self.lower_and_test_without_partitioner(
+            mod, inputs, func_name=inspect.stack()[0].function[5:]
+        )
+
+    def _run_manual_dqlinear_tests(self, weight_n_bit: int, op_dtype: torch.dtype):
+        in_sizes = [1, 4, 4]
+        input_sizes = [4, 37, 17]
+        output_sizes = [4, 17, 37]
+
+        for use_bias in [True, False]:
+            for i, _ in enumerate(in_sizes):
+                in_size = int(in_sizes[i])
+                input_size = int(input_sizes[i])
+                output_size = int(output_sizes[i])
+                mod = self.ManualDQLinear(
+                    input_channels=input_size,
+                    output_channels=output_size,
+                    weight_n_bit=weight_n_bit,
+                    dtype=op_dtype,
+                    use_bias=use_bias,
+                )
+
+                inputs = (torch.randn(1, in_size, input_size).to(op_dtype),)
+                self._test_manual_dq_linear(mod, inputs, use_bias=use_bias)
diff --git a/backends/apple/mps/test/test_mps_utils.py b/backends/apple/mps/test/test_mps_utils.py
index f3ae771c3d..6f7d00d7b0 100644
--- a/backends/apple/mps/test/test_mps_utils.py
+++ b/backends/apple/mps/test/test_mps_utils.py
@@ -6,28 +6,23 @@
 import logging
 import unittest
 
-from typing import Any, Tuple, Union
+from typing import Any, Tuple
 
 import executorch.exir as exir
 import torch
 from executorch.backends.apple.mps import MPSBackend
 from executorch.backends.apple.mps.partition import MPSPartitioner
-from executorch.exir import (
-    EdgeCompileConfig,
-    EdgeProgramManager,
-    ExirExportedProgram,
-    to_edge,
+from executorch.devtools import BundledProgram
+from executorch.devtools.bundled_program.config import MethodTestCase, MethodTestSuite
+from executorch.devtools.bundled_program.serialize import (
+    serialize_from_bundled_program_to_flatbuffer,
 )
+from executorch.exir import EdgeCompileConfig, ExirExportedProgram, to_edge
 from executorch.exir.backend.backend_api import to_backend
 from executorch.exir.backend.backend_details import CompileSpec
 from executorch.exir.capture._config import ExecutorchBackendConfig
-from executorch.exir.tracer import Value
-from executorch.sdk import BundledProgram
-from executorch.sdk.bundled_program.config import MethodTestCase, MethodTestSuite
-from executorch.sdk.bundled_program.serialize import (
-    serialize_from_bundled_program_to_flatbuffer,
-)
-from torch.export import export, ExportedProgram
+from executorch.extension.export_util.utils import export_to_edge
+from torch.export import export
 
 # Config for Capturing the weights, will be moved in the future
 
@@ -37,47 +32,6 @@
 )
 
 
-def _to_core_aten(
-    model: Union[torch.fx.GraphModule, torch.nn.Module],
-    example_inputs: Tuple[Value, ...],
-) -> ExportedProgram:
-    # post autograd export. eventually this will become .to_core_aten
-    if not isinstance(model, torch.fx.GraphModule):
-        raise ValueError(
-            f"Expected passed in model to be an instance of fx.GraphModule, got {type(model)}"
-        )
-    core_aten_ep = export(model, example_inputs)
-    logging.info(f"Core ATen graph:\n{core_aten_ep.graph}")
-    return core_aten_ep
-
-
-def _core_aten_to_edge(
-    core_aten_exir_ep: ExportedProgram,
-    edge_compile_config=None,
-) -> EdgeProgramManager:
-    if not edge_compile_config:
-        edge_compile_config = exir.EdgeCompileConfig(
-            _check_ir_validity=False,  # quant ops currently break ir verification
-            _skip_dim_order=True,  # TODO(T182928844): Delegate dim order op to backend.
-        )
-    edge_manager: EdgeProgramManager = to_edge(
-        core_aten_exir_ep, compile_config=edge_compile_config
-    )
-
-    edge_manager.exported_program().graph.print_tabular()
-    logging.info(f"Exported graph:\n{edge_manager.exported_program().graph}")
-    return edge_manager
-
-
-def export_to_edge(
-    model: Union[torch.fx.GraphModule, torch.nn.Module],
-    example_inputs: Tuple[Value, ...],
-    edge_compile_config=_EDGE_COMPILE_CONFIG,
-) -> EdgeProgramManager:
-    core_aten_ep = _to_core_aten(model, example_inputs)
-    return _core_aten_to_edge(core_aten_ep, edge_compile_config)
-
-
 class ansi_colors:
     HEADER = "\033[95m"
     OKBLUE = "\033[94m"
@@ -168,33 +122,65 @@ def dump_bundled_program(sample_inputs, expected_output, executorch_program, fun
 
 
 class TestMPS(unittest.TestCase):
-    def assert_outputs_equal(self, model_output, ref_output):
+    def assert_outputs_equal(
+        self,
+        model_output,
+        ref_output,
+        use_fp16: bool = False,
+        atol: float = 1e-03,
+        rtol: float = 1e-03,
+    ):
         """
         Helper testing function that asserts that the model output and the reference output
         are equal with some tolerance. Due to numerical differences between eager mode and
         the MPS's backend, we relax the detal such that absolute tolerance is 1e-3. and
         relative tolerance is 1e-3.
         """
-
-        # Compare the result from executor and eager mode direclty
+        # Compare the result from executor and eager mode directly
         if isinstance(ref_output, tuple) or isinstance(ref_output, list):
             # Multiple outputs executor always returns tuple, even if there is one output
-            self.assertTrue(
-                len(ref_output) == len(model_output),
-                msg="Length of outputs is not matching!",
-            )
+            assert len(ref_output) == len(
+                model_output
+            ), "Length of outputs is not matching!"
             for i in range(len(ref_output)):
-                self.assertTrue(
-                    torch.allclose(
-                        model_output[i], ref_output[i], atol=1e-03, rtol=1e-03
-                    )
-                )
+                res_output = model_output[i].cpu()
+                expected_output = ref_output[i].cpu()
+                if use_fp16 and (
+                    expected_output.dtype == torch.float16
+                    or res_output.dtype == torch.float16
+                ):
+                    # cast back from fp16 to fp32 (ExecuTorch results are in FP32 by default)
+                    expected_output = expected_output.to(torch.float32)
+                    res_output = res_output.to(torch.float32)
+                if (
+                    torch.allclose(res_output, expected_output, atol=atol, rtol=rtol)
+                    is False
+                ):
+                    mean_err = (
+                        (res_output - expected_output).abs() / expected_output
+                    ).mean()
+                    logging.debug(f"mean err = {mean_err}")
+                    self.assertLess(mean_err, 0.05)
         else:
             # If one output, eager returns tensor while executor tuple of size 1
-            self.assertTrue(
-                torch.allclose(model_output[0], ref_output, atol=1e-03, rtol=1e-03),
-                msg="Outputs are not matching!",
-            )
+            expected_output = ref_output.cpu()
+            res_output = model_output[0].cpu()
+            if use_fp16 and (
+                expected_output.dtype == torch.float16
+                or res_output.dtype == torch.float16
+            ):
+                # cast back from fp16 to fp32 (ExecuTorch results are in FP32 by default)
+                expected_output = expected_output.to(torch.float32)
+                res_output = res_output.to(torch.float32)
+            if (
+                torch.allclose(res_output, expected_output, atol=atol, rtol=rtol)
+                is False
+            ):
+                mean_err = (
+                    (res_output - expected_output).abs() / expected_output
+                ).mean()
+                logging.debug(f"mean err = {mean_err}")
+                self.assertLess(mean_err, 0.05)
 
     def lower_module_and_test_output(
         self,
@@ -204,6 +190,9 @@ def lower_module_and_test_output(
         use_partitioner: bool = True,
         use_fp16: bool = False,
         bundled_program=True,
+        dynamic_shapes=None,
+        atol: float = 1e-03,
+        rtol: float = 1e-03,
     ) -> ExirExportedProgram:
         """
         Helper testing function that takes a torch.nn.Module and lowers it to MPS with
@@ -220,11 +209,14 @@ def lower_module_and_test_output(
 
         expected_output = model(*sample_inputs)
 
-        model = torch._export.capture_pre_autograd_graph(model, sample_inputs)
+        model = torch._export.capture_pre_autograd_graph(
+            model, sample_inputs, dynamic_shapes=dynamic_shapes
+        )
 
         edge_program = export_to_edge(
             model,
             sample_inputs,
+            dynamic_shapes=dynamic_shapes,
             edge_compile_config=EdgeCompileConfig(
                 _check_ir_validity=False,
                 _skip_dim_order=True,  # TODO(T182928844): Delegate dim order op to backend.
@@ -237,7 +229,7 @@ def lower_module_and_test_output(
         compile_specs = [CompileSpec("use_fp16", bytes([use_fp16]))]
 
         if use_partitioner:
-            logging.info(f"Edge IR graph:\n{edge_program.exported_program().graph}")
+            logging.info(f"Edge IR graph:\n{edge_program.exported_program()}")
             delegated_program = edge_program
             delegated_program = edge_program.to_backend(
                 MPSPartitioner(compile_specs=compile_specs)
@@ -247,9 +239,7 @@ def lower_module_and_test_output(
             )
 
             executorch_program = delegated_program.to_executorch(
-                config=ExecutorchBackendConfig(
-                    extract_delegate_segments=False, extract_constant_segment=False
-                )
+                config=ExecutorchBackendConfig(extract_delegate_segments=False)
             )
         else:
             delegated_program = to_backend(
@@ -266,9 +256,7 @@ def lower_module_and_test_output(
                     _skip_dim_order=True,  # TODO(T182928844): Delegate dim order op to backend.
                 ),
             ).to_executorch(
-                config=ExecutorchBackendConfig(
-                    extract_delegate_segments=False, extract_constant_segment=False
-                )
+                config=ExecutorchBackendConfig(extract_delegate_segments=False)
             )
 
         if bundled_program:
@@ -292,7 +280,7 @@ def lower_module_and_test_output(
 
             logging.info(f"Expected output: {expected_output}")
             logging.info(f"MPS delegate output: {model_output}")
-            self.assert_outputs_equal(model_output, expected_output)
+            self.assert_outputs_equal(model_output, expected_output, atol, rtol)
             logging.info("Delegated program matches PyTorch Eager mode result!")
 
             return delegated_program
@@ -307,6 +295,9 @@ def lower_and_test_with_partitioner(
         example_inputs,
         func_name: str,
         use_fp16: bool = False,
+        dynamic_shapes=None,
+        atol: float = 1e-03,
+        rtol: float = 1e-03,
     ):
         logging.info(func_name)
         self.lower_module_and_test_output(
@@ -315,4 +306,29 @@ def lower_and_test_with_partitioner(
             use_partitioner=True,
             func_name=func_name,
             use_fp16=use_fp16,
+            dynamic_shapes=None,
+            atol=atol,
+            rtol=rtol,
+        )
+
+    def lower_and_test_without_partitioner(
+        self,
+        graph_module,
+        example_inputs,
+        func_name: str,
+        use_fp16: bool = False,
+        dynamic_shapes=None,
+        atol: float = 1e-03,
+        rtol: float = 1e-03,
+    ):
+        logging.info(func_name)
+        self.lower_module_and_test_output(
+            graph_module,
+            example_inputs,
+            use_partitioner=False,
+            func_name=func_name,
+            use_fp16=use_fp16,
+            dynamic_shapes=dynamic_shapes,
+            atol=atol,
+            rtol=rtol,
         )
diff --git a/backends/apple/mps/utils/mps_utils.py b/backends/apple/mps/utils/mps_utils.py
index 5c26faa046..c31ebba0e4 100644
--- a/backends/apple/mps/utils/mps_utils.py
+++ b/backends/apple/mps/utils/mps_utils.py
@@ -24,6 +24,7 @@ def edge_dtype_to_mps_dtype(dtype: torch.dtype):
         edge_dtype_to_mps_dtype.map = {
             torch.float16: MPSDataType.mps_data_type_float16,
             torch.float32: MPSDataType.mps_data_type_float32,
+            torch.float64: MPSDataType.mps_data_type_float32,
             torch.bfloat16: MPSDataType.mps_data_type_bfloat16,
             torch.int8: MPSDataType.mps_data_type_int8,
             torch.int16: MPSDataType.mps_data_type_int16,
@@ -72,7 +73,7 @@ def is_parameter(exp_prog: torch.export.ExportedProgram, node: torch.fx.Node) ->
     are supplied as inputs to the graph.
 
     Args:
-        edge_program (torch.export.ExportedProgram): _description_
+        exp_prog (torch.export.ExportedProgram): _description_
         node (torch.fx.Node): _description_
 
     Returns:
diff --git a/backends/apple/mps/utils/quant_utils.py b/backends/apple/mps/utils/quant_utils.py
new file mode 100644
index 0000000000..bfe19094a6
--- /dev/null
+++ b/backends/apple/mps/utils/quant_utils.py
@@ -0,0 +1,41 @@
+#
+#  Copyright (c) 2024 Apple Inc. All rights reserved.
+#  Provided subject to the LICENSE file in the top level directory.
+#
+
+import torch
+from executorch.exir.dialects._ops import ops as exir_ops
+
+DQ_GROUP_TARGETS = {
+    exir_ops.edge.quantized_decomposed.dequantize_per_channel_group.default,
+}
+
+Q_GROUP_TARGETS = {
+    exir_ops.edge.quantized_decomposed.quantize_per_channel_group.default,
+}
+
+DQ_TARGETS = {
+    exir_ops.edge.quantized_decomposed.dequantize_per_tensor.default,
+    exir_ops.edge.quantized_decomposed.dequantize_per_tensor.tensor,
+    exir_ops.edge.quantized_decomposed.dequantize_per_channel.default,
+    exir_ops.edge.quantized_decomposed.dequantize_per_token.default,
+}.union(DQ_GROUP_TARGETS)
+
+Q_TARGETS = {
+    exir_ops.edge.quantized_decomposed.quantize_per_tensor.default,
+    exir_ops.edge.quantized_decomposed.quantize_per_tensor.tensor,
+    exir_ops.edge.quantized_decomposed.quantize_per_channel.default,
+    exir_ops.edge.quantized_decomposed.quantize_per_token.default,
+}.union(Q_GROUP_TARGETS)
+
+
+def is_quant(tensor: torch.fx.Node) -> bool:
+    return tensor.target in Q_TARGETS
+
+
+def is_dequant(tensor: torch.fx.Node) -> bool:
+    return tensor.target in DQ_TARGETS
+
+
+def is_groupwise_q_dq(tensor: torch.fx.Node) -> bool:
+    return tensor.target in [DQ_GROUP_TARGETS, Q_GROUP_TARGETS]
diff --git a/backends/arm/README.md b/backends/arm/README.md
index 7167aa853b..6f4642f8d4 100644
--- a/backends/arm/README.md
+++ b/backends/arm/README.md
@@ -9,7 +9,7 @@ The expected flow is:
  * torch.nn.module -> TOSA -> command_stream for fully AoT flows e.g. embedded.
  * torch.nn.module -> TOSA for flows supporting a JiT compilation step.
 
-Current backend support is being developed for TOSA to Ethos(TM)-U55/65 via the
+Current backend support is being developed for TOSA to Ethos(TM)-U55/65/85 via the
 ethos-u-vela compilation stack. which follows the fully AoT flow.
 
 ## Layout
@@ -33,7 +33,7 @@ Quantization:
 - `arm_quantizer_utils.py` - Utilities for quantization
 
 Runtime:
-- `runtime/ArmBackendEthosU.cpp` - The Arm backend implementation of the ExecuTorch runtime backend (PyTorchBackendInterface) for Ethos-U
+- `runtime/ArmBackendEthosU.cpp` - The Arm backend implementation of the ExecuTorch runtime backend (BackendInterface) for Ethos-U
 
 Other:
 - `third-party/` - Dependencies on other code - in particular the TOSA serialization_lib for compiling to TOSA and the ethos-u-core-driver for the bare-metal backend supporting Ethos-U
diff --git a/backends/arm/TARGETS b/backends/arm/TARGETS
new file mode 100644
index 0000000000..220db37371
--- /dev/null
+++ b/backends/arm/TARGETS
@@ -0,0 +1,83 @@
+load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
+
+python_library(
+    name = "arm_partitioner",
+    srcs = [
+        "arm_partitioner.py",
+    ],
+    typing = True,
+    deps = [
+        ":arm_backend",
+        "//executorch/backends/arm/passes:passes",
+        "//executorch/exir:lib",
+    ],
+)
+
+python_library(
+    name = "arm_backend",
+    srcs = [
+        "arm_backend.py",
+    ],
+    typing = True,
+    deps = [
+        "fbsource//third-party/pypi/flatbuffers:flatbuffers",
+        "fbsource//third-party/pypi/ml-dtypes:ml-dtypes",
+        "fbsource//third-party/serialization_lib/python/serializer:serializer",
+        "fbsource//third-party/serialization_lib/python/tosa:tosa",
+        ":arm_vela",
+        "//executorch/backends/arm/operators:lib",
+        "//executorch/backends/arm/operators:node_visitor",
+        "//executorch/backends/arm/passes:passes",
+    ],
+)
+
+python_library(
+    name = "arm_vela",
+    srcs = [
+        "arm_vela.py",
+    ],
+    typing = True,
+    deps = [
+        "fbsource//third-party/pypi/ethos-u-vela:ethos-u-vela",
+    ],
+)
+
+python_library(
+    name = "tosa_mapping",
+    srcs = [
+        "tosa_mapping.py",
+    ],
+    typing = True,
+    deps = [
+        "fbsource//third-party/serialization_lib/python/serializer:serializer",
+        "//caffe2:torch",
+    ],
+)
+
+python_library(
+    name = "tosa_quant_utils",
+    srcs = [
+        "tosa_quant_utils.py",
+    ],
+    typing = True,
+    deps = [
+        "fbsource//third-party/pypi/numpy:numpy",
+        "fbsource//third-party/serialization_lib/python/serializer:serializer",
+        "fbsource//third-party/serialization_lib/python/tosa:tosa",
+        ":tosa_mapping",
+        "//executorch/exir/dialects:lib",
+    ],
+)
+
+python_library(
+    name = "tosa_utils",
+    srcs = [
+        "tosa_utils.py",
+    ],
+    typing = True,
+    deps = [
+        "fbsource//third-party/serialization_lib/python/serializer:serializer",
+        ":tosa_quant_utils",
+        "//executorch/backends/arm/operators:node_visitor",
+    ],
+)
diff --git a/backends/arm/arm_backend.py b/backends/arm/arm_backend.py
index f187191fee..a5f47c222f 100644
--- a/backends/arm/arm_backend.py
+++ b/backends/arm/arm_backend.py
@@ -3,6 +3,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 #
 # Main implementation of AoT flow to partition and preprocess for Arm target
 # backends. Converts via TOSA as an intermediate form supported by AoT and
@@ -54,7 +56,7 @@ def ethosu_compile_spec(
         memory_mode: Optional[str] = None,
         extra_flags: Optional[str] = None,
         config_ini: Optional[str] = "Arm/vela.ini",
-    ):
+    ) -> "ArmCompileSpecBuilder":
         """
         Generate compile spec for Ethos-U NPU
 
@@ -84,7 +86,7 @@ def ethosu_compile_spec(
 
         return self
 
-    def tosa_compile_spec(self):
+    def tosa_compile_spec(self) -> "ArmCompileSpecBuilder":
         """
         Generate compile spec for TOSA flatbuffer output
         """
@@ -94,14 +96,18 @@ def tosa_compile_spec(self):
         self.output_format = "tosa"
         return self
 
-    def dump_intermediate_artifacts_to(self, output_path: str):
+    def dump_intermediate_artifacts_to(
+        self, output_path: str
+    ) -> "ArmCompileSpecBuilder":
         """
         Sets a path for dumping intermediate results during such as tosa and pte.
         """
         self.path_for_intermediates = output_path
         return self
 
-    def set_permute_memory_format(self, set_nhwc_permutation: bool = True):
+    def set_permute_memory_format(
+        self, set_nhwc_permutation: bool = True
+    ) -> "ArmCompileSpecBuilder":
         """
         Permute to channel last in compiler and runtime. Compilation and
         runtime will convert rank 4 inputs to channel last for each sub-graph.
@@ -109,7 +115,7 @@ def set_permute_memory_format(self, set_nhwc_permutation: bool = True):
         self.permute_nhwc = set_nhwc_permutation
         return self
 
-    def set_quantize_io(self, quantize_io: bool = False):
+    def set_quantize_io(self, quantize_io: bool = False) -> "ArmCompileSpecBuilder":
         """
         Quantization of inputs and dequantization of outputs for cases where
         whole graph is quantized and method signature is not of quantized type.
@@ -117,7 +123,7 @@ def set_quantize_io(self, quantize_io: bool = False):
         self.quantize_io = quantize_io
         return self
 
-    def build(self):
+    def build(self) -> List[CompileSpec]:
         """
         Generate a list of compile spec objects from the builder
         """
@@ -159,13 +165,24 @@ def is_tosa(compile_spec: List[CompileSpec]) -> bool:
     return False
 
 
-def get_intermediate_path(compile_spec: List[CompileSpec]) -> str:
+def get_intermediate_path(compile_spec: List[CompileSpec]) -> Optional[str]:
     for spec in compile_spec:
         if spec.key == "debug_artifact_path":
             return spec.value.decode()
     return None
 
 
+def _get_first_delegation_tag(graph_module) -> str | None:
+    """Get the first delegation tag from the graph_module or return None."""
+    for node in graph_module.graph.nodes:
+        tag = node.meta.get("delegation_tag")
+        if tag:
+            return tag
+
+    logger.debug("No delegation tag found in partition.")
+    return None
+
+
 @final
 class ArmBackend(BackendDetails):
     @staticmethod
@@ -220,8 +237,13 @@ def preprocess(  # noqa: C901
         # TODO: It would be awesome if this dump could somehow be done on top level and not here.
         # Problem is that the desc.json has to be created on the tosa_graph object, which we can't
         # access from top level.
-        if artifact_path is not None:
-            dbg_tosa_dump(tosa_graph, artifact_path)
+        if artifact_path:
+            tag = _get_first_delegation_tag(graph_module)
+            dbg_tosa_dump(
+                tosa_graph,
+                artifact_path,
+                suffix="{}".format(f"_{tag}" if tag else ""),
+            )
 
         # Serialize and return the program. While we have always produced TOSA
         # output as an intermediate, some flows compile to device binaries in
diff --git a/backends/arm/arm_partitioner.py b/backends/arm/arm_partitioner.py
index 56dac5d248..6b57c3d965 100644
--- a/backends/arm/arm_partitioner.py
+++ b/backends/arm/arm_partitioner.py
@@ -3,6 +3,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import logging
 import operator
 import os
@@ -38,20 +40,31 @@ def is_node_supported(self, submodules, node: torch.fx.Node) -> bool:
         supported = node.op == "call_function" and node.target in [
             exir_ops.edge.aten.add.Tensor,
             exir_ops.edge.aten.addmm.default,
+            exir_ops.edge.aten.expand_copy.default,
+            exir_ops.edge.aten.cat.default,
+            exir_ops.edge.aten.bmm.default,
             exir_ops.edge.aten.permute_copy.default,
             exir_ops.edge.aten.hardtanh.default,
             exir_ops.edge.aten.convolution.default,
             exir_ops.edge.aten.div.Tensor,
+            exir_ops.edge.aten.exp.default,
+            exir_ops.edge.aten.log.default,
+            exir_ops.edge.aten.split_with_sizes_copy.default,
             exir_ops.edge.aten.full.default,
+            exir_ops.edge.aten.mul.Tensor,
             exir_ops.edge.aten._native_batch_norm_legit_no_training.default,
             exir_ops.edge.aten.avg_pool2d.default,
             exir_ops.edge.aten.sigmoid.default,
+            exir_ops.edge.aten.mm.default,
+            exir_ops.edge.aten.repeat.default,
+            exir_ops.edge.aten.relu.default,
             exir_ops.edge.aten._softmax.default,
             exir_ops.edge.aten.slice_copy.Tensor,
             exir_ops.edge.aten.sub.Tensor,
             exir_ops.edge.aten.view_copy.default,
             exir_ops.edge.aten.clone.default,
             exir_ops.edge.aten.mean.dim,
+            exir_ops.edge.aten.unsqueeze_copy.default,
             operator.getitem,
             exir_ops.edge.quantized_decomposed.quantize_per_tensor.default,
             exir_ops.edge.quantized_decomposed.dequantize_per_tensor.default,
diff --git a/backends/arm/arm_vela.py b/backends/arm/arm_vela.py
index f387672b7b..01bb8bd55e 100644
--- a/backends/arm/arm_vela.py
+++ b/backends/arm/arm_vela.py
@@ -3,14 +3,16 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import os
 import struct
-import subprocess
 import tempfile
 
 from typing import List
 
 import numpy as np
+from ethosu.vela import vela
 
 
 # Pack either input or output tensor block, compose the related arrays into
@@ -38,21 +40,22 @@ def vela_compile(tosa_graph, args: List[str]):
     with tempfile.TemporaryDirectory() as tmpdir:
         tosaname = "out.tosa"
         flatbuffer = tosa_graph.serialize()
-        with open(os.path.join(tmpdir, tosaname), "wb") as f:
+        tosa_path = os.path.join(tmpdir, tosaname)
+        with open(tosa_path, "wb") as f:
             f.write(flatbuffer)
 
         # invoke vela
-        vela_command = f"cd {tmpdir}; vela {' '.join(args)} {tosaname}"
-        try:
-            subprocess.run([vela_command], shell=True, check=True, capture_output=True)
-        except subprocess.CalledProcessError as process_error:
-            raise RuntimeError(
-                f"Vela compiler ('{vela_command}') failed with error:\n \
-                                     {process_error.stderr.decode()}\n \
-                                      Stdout:\n{process_error.stdout.decode()}"
-            )
-
-        np_path = os.path.join(tmpdir, "output", "out_sg0_vela.npz")
+        output_dir = os.path.join(tmpdir, "output")
+        args.append(f"--output-dir={output_dir}")
+        args.append(tosa_path)
+        vela.main(" ".join(args).split(" "))
+
+        if any("ethos-u85" in arg for arg in args) or any(
+            "debug-force-regor" in arg for arg in args
+        ):
+            np_path = os.path.join(tmpdir, "output", "out_vela.npz")
+        else:
+            np_path = os.path.join(tmpdir, "output", "out_sg0_vela.npz")
         blocks = b""
 
         with np.load(np_path, allow_pickle=False) as data:
diff --git a/backends/arm/operators/TARGETS b/backends/arm/operators/TARGETS
new file mode 100644
index 0000000000..fd04d5fb84
--- /dev/null
+++ b/backends/arm/operators/TARGETS
@@ -0,0 +1,34 @@
+load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
+
+python_library(
+    name = "node_visitor",
+    srcs = ["node_visitor.py"],
+    typing = True,
+    deps = [
+        "//executorch/backends/arm:tosa_mapping",
+    ],
+)
+
+python_library(
+    name = "ops",
+    srcs = glob(["op_*.py"]),
+    typing = True,
+    deps = [
+        "fbsource//third-party/serialization_lib/python/tosa:tosa",
+        ":node_visitor",
+        "//executorch/backends/arm:tosa_mapping",
+        "//executorch/backends/arm:tosa_quant_utils",
+        "//executorch/backends/arm:tosa_utils",
+        "//executorch/exir:lib",
+    ],
+)
+
+python_library(
+    name = "lib",
+    srcs = ["__init__.py"],
+    typing = True,
+    deps = [
+        ":node_visitor",
+        ":ops",
+    ],
+)
diff --git a/backends/arm/operators/__init__.py b/backends/arm/operators/__init__.py
index e868b584cf..7b94bfa837 100644
--- a/backends/arm/operators/__init__.py
+++ b/backends/arm/operators/__init__.py
@@ -3,24 +3,35 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 from . import (  # noqa
     node_visitor,
     op_add,
     op_addmm,
     op_avg_pool2d,
     op_batch_norm,
+    op_bmm,
+    op_cat,
     op_conv2d,
     op_dequant,
     op_div,
+    op_exp,
     op_full,
     op_get_item,
     op_hardtanh,
+    op_log,
     op_mean_dim,
+    op_mm,
+    op_mul,
     op_permute,
     op_quant,
+    op_relu,
+    op_repeat,
     op_sigmoid,
     op_slice,
     op_softmax,
     op_sub,
+    op_unsqueeze,
     op_view,
 )
diff --git a/backends/arm/operators/node_visitor.py b/backends/arm/operators/node_visitor.py
index 59edc01e74..99fd0388e4 100644
--- a/backends/arm/operators/node_visitor.py
+++ b/backends/arm/operators/node_visitor.py
@@ -3,6 +3,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 from typing import Dict, List
 
 import serializer.tosa_serializer as ts
diff --git a/backends/arm/operators/op_add.py b/backends/arm/operators/op_add.py
index 33c0c49744..ec2ade9e8a 100644
--- a/backends/arm/operators/op_add.py
+++ b/backends/arm/operators/op_add.py
@@ -3,6 +3,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 from typing import List
 
 import executorch.backends.arm.tosa_quant_utils as tqutils
diff --git a/backends/arm/operators/op_addmm.py b/backends/arm/operators/op_addmm.py
index 444799d353..b4f782db4a 100644
--- a/backends/arm/operators/op_addmm.py
+++ b/backends/arm/operators/op_addmm.py
@@ -3,6 +3,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 from typing import List
 
 import serializer.tosa_serializer as ts
@@ -12,10 +14,7 @@
     register_node_visitor,
 )
 from executorch.backends.arm.tosa_mapping import TosaArg
-from executorch.backends.arm.tosa_quant_utils import (
-    compute_multiplier_and_shift,
-    get_quant_node_args,
-)
+from executorch.backends.arm.tosa_quant_utils import build_rescale, get_quant_node_args
 
 from executorch.backends.arm.tosa_utils import build_reshape
 from executorch.exir.dialects._ops import ops as exir_ops
@@ -128,32 +127,20 @@ def define_node(
             weight_scale = get_quant_node_args(weight_node_q_node).scale
 
             output_rescale_scale = (input_scale * weight_scale) / consumer_node_scale
-            (
-                multiplier_output,
-                shift_output,
-            ) = compute_multiplier_and_shift(output_rescale_scale)
-
-            attr_rescale_output = ts.TosaSerializerAttribute()
-            attr_rescale_output.RescaleAttribute(
-                input_zp=0,
-                output_zp=consumer_node_node_zp,
-                multiplier=[multiplier_output],
-                shift=[shift_output],
-                scale32=True,
-                double_round=True,
-                per_channel=False,
-                input_unsigned=False,
-                output_unsigned=False,
-            )
 
             reshaped_res = tosa_graph.addIntermediate(result_shape, ts.DType.INT32)
             build_reshape(tosa_graph, conv2d_res.name, result_shape, reshaped_res.name)
 
-            tosa_graph.addOperator(
-                TosaOp.Op().RESCALE,
-                [reshaped_res.name],
-                [output.name],
-                attr_rescale_output,
+            build_rescale(
+                tosa_fb=tosa_graph,
+                scale=output_rescale_scale,
+                input_node=reshaped_res,
+                output_name=output.name,
+                output_type=ts.DType.INT8,
+                output_shape=reshaped_res.shape,
+                input_zp=0,
+                output_zp=consumer_node_node_zp,
+                is_double_round=False,
             )
 
         else:
diff --git a/backends/arm/operators/op_avg_pool2d.py b/backends/arm/operators/op_avg_pool2d.py
index e6d07610c8..4caaad9202 100644
--- a/backends/arm/operators/op_avg_pool2d.py
+++ b/backends/arm/operators/op_avg_pool2d.py
@@ -2,6 +2,8 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
 from typing import List
 
 import serializer.tosa_serializer as ts
diff --git a/backends/arm/operators/op_batch_norm.py b/backends/arm/operators/op_batch_norm.py
index c41941722b..d17c3a1b81 100644
--- a/backends/arm/operators/op_batch_norm.py
+++ b/backends/arm/operators/op_batch_norm.py
@@ -2,6 +2,8 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
 from typing import List
 
 import serializer.tosa_serializer as ts
diff --git a/backends/arm/operators/op_bmm.py b/backends/arm/operators/op_bmm.py
new file mode 100644
index 0000000000..161b5d2239
--- /dev/null
+++ b/backends/arm/operators/op_bmm.py
@@ -0,0 +1,85 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+from typing import List
+
+import serializer.tosa_serializer as ts
+import torch.fx
+from executorch.backends.arm.operators.node_visitor import (
+    NodeVisitor,
+    register_node_visitor,
+)
+from executorch.backends.arm.tosa_mapping import TosaArg
+from executorch.backends.arm.tosa_quant_utils import build_rescale, get_quant_node_args
+from executorch.backends.arm.tosa_utils import get_two_inputs
+from serializer.tosa_serializer import TosaOp
+
+
+@register_node_visitor
+class BMMVisitor(NodeVisitor):
+    target = "aten.bmm.default"
+
+    def __init__(self, *args):
+        super().__init__(*args)
+
+    def define_node(
+        self,
+        node: torch.fx.Node,
+        tosa_graph: ts.TosaSerializer,
+        inputs: List[TosaArg],
+        output: TosaArg,
+        is_quant_node: bool,
+    ) -> None:
+        input0, input1 = get_two_inputs(node)
+
+        # aten.bmm maps directly to MATMUL
+        # NOTE: For now, only INT8 & FP32 is supported
+
+        # For INT8, we need to get the zero points and add an intermediate tensor
+        # for a later rescale.
+        if is_quant_node:
+            input0_zp = get_quant_node_args(input0).zp
+            input1_zp = get_quant_node_args(input1).zp
+            bmm_result = tosa_graph.addIntermediate(output.shape, ts.DType.INT32)
+            bmm_output_name = bmm_result.name
+        else:
+            input0_zp, input1_zp = 0, 0
+            bmm_output_name = output.name
+
+        # Add the MATMUL to the TOSA graph.
+        attr = ts.TosaSerializerAttribute()
+        attr.MatMulAttribute(A_zp=input0_zp, B_zp=input1_zp)
+
+        tosa_graph.addOperator(
+            TosaOp.Op().MATMUL,
+            [input0.name, input1.name],
+            [bmm_output_name],
+            attr,
+        )
+
+        # As INT8 accumulates into INT32, we need to rescale it back to INT8
+        if is_quant_node:
+            input0_q_params = get_quant_node_args(input0)
+            input1_q_params = get_quant_node_args(input1)
+            output_q_params = get_quant_node_args(list(node.users)[0])
+
+            final_output_scale = (
+                input0_q_params.scale * input1_q_params.scale
+            ) / output_q_params.scale
+
+            build_rescale(
+                tosa_fb=tosa_graph,
+                scale=final_output_scale,
+                # pyre-ignore[61]: Uninitialized local [61]: Local variable `bmm_result` is undefined, or not always defined.
+                input_node=bmm_result,
+                output_name=output.name,
+                output_type=ts.DType.INT8,
+                output_shape=bmm_result.shape,
+                input_zp=0,
+                output_zp=output_q_params.zp,
+                is_double_round=False,
+            )
diff --git a/backends/arm/operators/op_cat.py b/backends/arm/operators/op_cat.py
new file mode 100644
index 0000000000..652eb39737
--- /dev/null
+++ b/backends/arm/operators/op_cat.py
@@ -0,0 +1,47 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+
+from typing import List
+
+import serializer.tosa_serializer as ts
+from executorch.backends.arm.operators.node_visitor import (
+    NodeVisitor,
+    register_node_visitor,
+)
+from executorch.backends.arm.tosa_mapping import TosaArg
+from serializer.tosa_serializer import TosaOp
+from torch.fx import Node
+
+
+@register_node_visitor
+class CatVisitor(NodeVisitor):
+    target = "aten.cat.default"
+
+    def __init__(self, *args):
+        super().__init__(*args)
+
+    def define_node(
+        self,
+        node: Node,
+        tosa_graph: ts.TosaSerializer,
+        inputs: List[TosaArg],
+        output: TosaArg,
+        is_quant_node: bool,
+    ) -> None:
+
+        tensors = inputs[0].special
+        dim = 0 if len(inputs) < 2 else inputs[1].number
+        rank = len(output.shape)
+        dim = (dim + rank) % rank
+        dim = output.dim_order.index(dim)
+
+        attr = ts.TosaSerializerAttribute()
+        attr.AxisAttribute(dim)
+
+        tosa_graph.addOperator(
+            TosaOp.Op().CONCAT, [tensor.name for tensor in tensors], [output.name], attr
+        )
diff --git a/backends/arm/operators/op_conv2d.py b/backends/arm/operators/op_conv2d.py
index 323b11601c..64cde0724f 100644
--- a/backends/arm/operators/op_conv2d.py
+++ b/backends/arm/operators/op_conv2d.py
@@ -2,7 +2,9 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
-from typing import List
+
+# pyre-unsafe
+from typing import cast, List
 
 import serializer.tosa_serializer as ts
 import torch
@@ -40,7 +42,7 @@ def adjust_pad_if_needed(self, input, weight, stride, pad, dilation):
 
         if mod_remainder > pad:
             raise RuntimeError(
-                f"ignoring input element is not currently supported, got a large stride {stride}"
+                "This case should be handled by the SizeAdjustConv2d pass, is it enabled?"
             )
         return pad - mod_remainder
 
@@ -156,11 +158,12 @@ def define_node(
         # integer value domain of the next op. Otherwise return float32 output.
         if is_quant_node:
             # Get scale_factor from input, weight, and output.
-            _, input_scale, _, _, _, _ = getNodeArgs(node.args[0])
-            _, weight_scale, _, _, _, _ = getNodeArgs(node.args[1])
+            _, input_scale, _, _, _, _ = getNodeArgs(cast(torch.fx.Node, node.args[0]))
+            _, weight_scale, _, _, _, _ = getNodeArgs(cast(torch.fx.Node, node.args[1]))
             _, output_scale, output_zp, _, _, _ = getNodeArgs(list(node.users)[0])
             build_rescale_conv_output(
                 tosa_graph,
+                # pyre-fixme[61]: Uninitialized local [61]: Local variable `conv2d_res` is undefined, or not always defined.
                 conv2d_res,
                 output.name,
                 actual_out_type,
diff --git a/backends/arm/operators/op_dequant.py b/backends/arm/operators/op_dequant.py
index 269afceccb..afa1dda946 100644
--- a/backends/arm/operators/op_dequant.py
+++ b/backends/arm/operators/op_dequant.py
@@ -2,6 +2,8 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
 from typing import List
 
 import serializer.tosa_serializer as ts
diff --git a/backends/arm/operators/op_div.py b/backends/arm/operators/op_div.py
index e365cf6cfe..0857e0ed32 100644
--- a/backends/arm/operators/op_div.py
+++ b/backends/arm/operators/op_div.py
@@ -2,6 +2,8 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
 from typing import List
 
 import serializer.tosa_serializer as ts
diff --git a/backends/arm/operators/op_exp.py b/backends/arm/operators/op_exp.py
new file mode 100644
index 0000000000..f98bb3f88c
--- /dev/null
+++ b/backends/arm/operators/op_exp.py
@@ -0,0 +1,83 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+from typing import List
+
+import numpy as np
+
+import serializer.tosa_serializer as ts
+from executorch.backends.arm.operators.node_visitor import (
+    NodeVisitor,
+    register_node_visitor,
+)
+from executorch.backends.arm.tosa_mapping import TosaArg
+
+from executorch.backends.arm.tosa_quant_utils import (
+    dequantize_value,
+    get_quant_node_args,
+    QuantArgs,
+    quantize_value,
+)
+from serializer.tosa_serializer import TosaOp
+from torch.fx import Node
+
+
+@register_node_visitor
+class ExpVisitor(NodeVisitor):
+    target = "aten.exp.default"
+
+    def __init__(self, *args):
+        super().__init__(*args)
+
+    def define_node(
+        self,
+        node: Node,
+        tosa_graph: ts.TosaSerializer,
+        inputs: List[TosaArg],
+        output: TosaArg,
+        is_quant_node: bool,
+    ) -> None:
+
+        assert len(node.all_input_nodes) == 1
+        assert len(node.users) == 1
+
+        if is_quant_node:
+            # Assume quantized input is 8 bit.
+
+            # Create attribute for 8 bit table lookup.
+            input_node = node.all_input_nodes[0]
+            in_quantargs = get_quant_node_args(input_node)
+            output_node = list(node.users)[0]
+            out_quantargs = get_quant_node_args(output_node)
+
+            table = exp_table_8bit(in_quantargs, out_quantargs)
+            table_attr = ts.TosaSerializerAttribute()
+            table_attr.TableAttribute(table)
+
+            tosa_graph.addOperator(
+                TosaOp.Op().TABLE, [inputs[0].name], [output.name], table_attr
+            )
+        else:
+            tosa_graph.addOperator(TosaOp.Op().EXP, [inputs[0].name], [output.name])
+
+
+def exp_table_8bit(in_quantargs: QuantArgs, out_quantargs: QuantArgs):
+    """
+    Returns a table mapping 256 entries to exp([qmin,qmax])
+    """
+
+    def exp(x):
+        # Convert quantized input to floating point exp input space.
+        v = dequantize_value(x, in_quantargs)
+        # Compute exp.
+        v = np.exp(v)
+        # Convert exp output back to quantized space.
+        return quantize_value(v, out_quantargs)
+
+    return [
+        exp(x)
+        for x in np.linspace(in_quantargs.qmin, in_quantargs.qmax, 256, dtype=np.int8)
+    ]
diff --git a/backends/arm/operators/op_full.py b/backends/arm/operators/op_full.py
index f929b02ee6..eec27bb909 100644
--- a/backends/arm/operators/op_full.py
+++ b/backends/arm/operators/op_full.py
@@ -2,6 +2,8 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
 from typing import List
 
 import numpy as np
diff --git a/backends/arm/operators/op_get_item.py b/backends/arm/operators/op_get_item.py
index 59004f4968..a696b33aa7 100644
--- a/backends/arm/operators/op_get_item.py
+++ b/backends/arm/operators/op_get_item.py
@@ -2,6 +2,8 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
 from typing import List
 
 import serializer.tosa_serializer as ts
diff --git a/backends/arm/operators/op_hardtanh.py b/backends/arm/operators/op_hardtanh.py
index 3d58f6d628..62c0a27f05 100644
--- a/backends/arm/operators/op_hardtanh.py
+++ b/backends/arm/operators/op_hardtanh.py
@@ -2,6 +2,8 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
 from typing import List
 
 import serializer.tosa_serializer as ts
diff --git a/backends/arm/operators/op_log.py b/backends/arm/operators/op_log.py
new file mode 100644
index 0000000000..5276173efa
--- /dev/null
+++ b/backends/arm/operators/op_log.py
@@ -0,0 +1,83 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+from typing import List
+
+import numpy as np
+
+import serializer.tosa_serializer as ts
+from executorch.backends.arm.operators.node_visitor import (
+    NodeVisitor,
+    register_node_visitor,
+)
+from executorch.backends.arm.tosa_mapping import TosaArg
+
+from executorch.backends.arm.tosa_quant_utils import (
+    dequantize_value,
+    get_quant_node_args,
+    QuantArgs,
+    quantize_value,
+)
+from serializer.tosa_serializer import TosaOp
+from torch.fx import Node
+
+
+@register_node_visitor
+class LogVisitor(NodeVisitor):
+    target = "aten.log.default"
+
+    def __init__(self, *args):
+        super().__init__(*args)
+
+    def define_node(
+        self,
+        node: Node,
+        tosa_graph: ts.TosaSerializer,
+        inputs: List[TosaArg],
+        output: TosaArg,
+        is_quant_node: bool,
+    ) -> None:
+
+        assert len(node.all_input_nodes) == 1
+        assert len(node.users) == 1
+
+        if is_quant_node:
+            # Assume quantized input is 8 bit.
+
+            # Create attribute for 8 bit table lookup.
+            input_node = node.all_input_nodes[0]
+            in_quantargs = get_quant_node_args(input_node)
+            output_node = list(node.users)[0]
+            out_quantargs = get_quant_node_args(output_node)
+
+            table = log_table_8bit(in_quantargs, out_quantargs)
+            table_attr = ts.TosaSerializerAttribute()
+            table_attr.TableAttribute(table)
+
+            tosa_graph.addOperator(
+                TosaOp.Op().TABLE, [inputs[0].name], [output.name], table_attr
+            )
+        else:
+            tosa_graph.addOperator(TosaOp.Op().LOG, [inputs[0].name], [output.name])
+
+
+def log_table_8bit(in_quantargs: QuantArgs, out_quantargs: QuantArgs):
+    """
+    Returns a table mapping 256 entries to log([qmin,qmax])
+    """
+
+    def log(x):
+        # Convert quantized input to floating point log input space.
+        v = dequantize_value(x, in_quantargs)
+        # Compute log.
+        v = np.log(v)
+        # Convert log output back to quantized space.
+        return quantize_value(v, out_quantargs)
+
+    return [
+        log(x)
+        for x in np.linspace(in_quantargs.qmin, in_quantargs.qmax, 256, dtype=np.int8)
+    ]
diff --git a/backends/arm/operators/op_mean_dim.py b/backends/arm/operators/op_mean_dim.py
index 20e1b2b8d7..3c9aea3085 100644
--- a/backends/arm/operators/op_mean_dim.py
+++ b/backends/arm/operators/op_mean_dim.py
@@ -2,6 +2,8 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
 from typing import List
 
 import serializer.tosa_serializer as ts
@@ -11,7 +13,6 @@
     register_node_visitor,
 )
 from executorch.backends.arm.tosa_mapping import TosaArg
-from executorch.backends.arm.tosa_utils import build_avg_pool_2d_common
 
 
 @register_node_visitor
@@ -30,29 +31,4 @@ def define_node(
         is_quant_node: bool,
     ) -> None:
 
-        input_tensor = inputs[0]
-        dim = node.args[1]
-        keep_dim = node.args[2]
-
-        # mean.dim(-1, -2) is the same as avg_pool2d when just computing mean over HW dimensions.
-        # Since tosa doesn't have mean.dim operation, lowers it to average pooling instead.
-        if dim == [-1, -2]:
-            if keep_dim is True:
-                # Given the shape format of input is (N, C, H, W)
-                kernel_size = [input_tensor.shape[2], input_tensor.shape[3]]
-                stride = [1, 1]
-                padding = [0, 0, 0, 0]
-
-                build_avg_pool_2d_common(
-                    node,
-                    tosa_graph,
-                    input_tensor,
-                    kernel_size,
-                    stride,
-                    padding,
-                    is_quant_node,
-                    output,
-                )
-                return
-
         raise AssertionError("unsupported")
diff --git a/backends/arm/operators/op_mm.py b/backends/arm/operators/op_mm.py
new file mode 100644
index 0000000000..ebddb3a40e
--- /dev/null
+++ b/backends/arm/operators/op_mm.py
@@ -0,0 +1,109 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+from typing import List
+
+import serializer.tosa_serializer as ts
+import torch
+from executorch.backends.arm.operators.node_visitor import (
+    NodeVisitor,
+    register_node_visitor,
+)
+from executorch.backends.arm.tosa_mapping import TosaArg
+from executorch.backends.arm.tosa_quant_utils import build_rescale, get_quant_node_args
+from executorch.backends.arm.tosa_utils import (
+    build_reshape,
+    expand_dims,
+    get_two_inputs,
+)
+from serializer.tosa_serializer import TosaOp
+
+
+@register_node_visitor
+class MMVisitor(NodeVisitor):
+    target = "aten.mm.default"
+
+    def __init__(self, *args):
+        super().__init__(*args)
+
+    def define_node(
+        self,
+        node: torch.fx.Node,
+        tosa_graph: ts.TosaSerializer,
+        inputs: List[TosaArg],
+        output: TosaArg,
+        is_quant_node: bool,
+    ) -> None:
+        input0, input1 = get_two_inputs(node)
+
+        # For atem.mm, the two inputs are of rank 2
+        # For TOSA it needs to be rank 3
+        # So they need to be reshaped from (H, W) to (1, H, W)
+        # NOTE: For now, only INT8 & FP32 is supported
+        reshape_dtype = ts.DType.INT8 if is_quant_node else ts.DType.FP32
+        input0_reshaped = expand_dims(tosa_graph, inputs[0], reshape_dtype, 0)
+        input1_reshaped = expand_dims(tosa_graph, inputs[1], reshape_dtype, 0)
+
+        # The output also needs to be rank 3
+        output_new_shape = (1, output.shape[0], output.shape[1])
+
+        # For INT8, we need to get the zero point, otherwise it is 0
+        input0_zp, input1_zp = 0, 0
+        if is_quant_node:
+            input0_zp = get_quant_node_args(input0).zp
+            input1_zp = get_quant_node_args(input1).zp
+
+        mat_mul_result = tosa_graph.addIntermediate(
+            output_new_shape, ts.DType.INT32 if is_quant_node else output.dtype
+        )
+
+        attr = ts.TosaSerializerAttribute()
+        attr.MatMulAttribute(A_zp=input0_zp, B_zp=input1_zp)
+
+        tosa_graph.addOperator(
+            TosaOp.Op().MATMUL,
+            [input0_reshaped.name, input1_reshaped.name],
+            [mat_mul_result.name],
+            attr,
+        )
+
+        if is_quant_node:
+            reshape_intermediate = tosa_graph.addIntermediate(
+                output.shape, ts.DType.INT32
+            )
+            reshape_output_name = reshape_intermediate.name
+        else:
+            reshape_output_name = output.name
+
+        # Reshape the final output back to rank 2
+        build_reshape(
+            tosa_graph, mat_mul_result.name, output.shape, reshape_output_name
+        )
+
+        # As INT8 accumulates into INT32, we need to rescale it back to INT8
+        if is_quant_node:
+            input0_q_params = get_quant_node_args(input0)
+            input1_q_params = get_quant_node_args(input1)
+            output_q_params = get_quant_node_args(list(node.users)[0])
+
+            final_output_scale = (
+                input0_q_params.scale * input1_q_params.scale
+            ) / output_q_params.scale
+
+            # As the input will be INT32, the input_zp must be set to 0
+            build_rescale(
+                tosa_fb=tosa_graph,
+                scale=final_output_scale,
+                # pyre-ignore[61]: Uninitialized local [61]: Local variable `reshape_intermediate` is undefined, or not always defined.
+                input_node=reshape_intermediate,
+                output_name=output.name,
+                output_type=ts.DType.INT8,
+                output_shape=reshape_intermediate.shape,
+                input_zp=0,
+                output_zp=output_q_params.zp,
+                is_double_round=False,
+            )
diff --git a/backends/arm/operators/op_mul.py b/backends/arm/operators/op_mul.py
new file mode 100644
index 0000000000..c152e8759e
--- /dev/null
+++ b/backends/arm/operators/op_mul.py
@@ -0,0 +1,89 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+
+from typing import cast, List
+
+import executorch.backends.arm.tosa_quant_utils as tqutils
+import executorch.backends.arm.tosa_utils as tutils
+
+import serializer.tosa_serializer as ts
+import torch
+
+from executorch.backends.arm.operators.node_visitor import (
+    NodeVisitor,
+    register_node_visitor,
+)
+from executorch.backends.arm.tosa_mapping import TosaArg
+from serializer.tosa_serializer import TosaOp
+
+
+@register_node_visitor
+class MulVisitor(NodeVisitor):
+    target = "aten.mul.Tensor"
+
+    def define_node(
+        self,
+        node: torch.fx.Node,
+        tosa_graph: ts.TosaSerializer,
+        inputs: List[TosaArg],
+        output: TosaArg,
+        is_quant_node: bool,
+    ) -> None:
+
+        if is_quant_node:
+            input_A = inputs[0]
+            input_B = inputs[1]
+            input_A_qargs = tqutils.get_quant_node_args(
+                cast(torch.fx.Node, node.args[0])
+            )
+            input_B_qargs = tqutils.get_quant_node_args(
+                cast(torch.fx.Node, node.args[1])
+            )
+
+            input_A.shape = tutils.tosa_shape(input_A.shape, input_A.dim_order)
+            input_B.shape = tutils.tosa_shape(input_B.shape, input_B.dim_order)
+            output_shape = tutils.tosa_shape(output.shape, output.dim_order)
+
+            # Rescale inputs to INT32 with zp=0
+            input_A_rescaled = tqutils.build_rescale_to_int32(
+                tosa_graph,
+                input_A,
+                input_A_qargs.zp,
+                rescale_scale=1.0,
+            )
+            input_B_rescaled = tqutils.build_rescale_to_int32(
+                tosa_graph,
+                input_B,
+                input_B_qargs.zp,
+                rescale_scale=1.0,
+            )
+
+            mul_output = tosa_graph.addIntermediate(output_shape, ts.DType.INT32)
+
+            # Do the INT32 Mul
+            attr = ts.TosaSerializerAttribute()
+            attr.MulAttribute(shift=0)
+            tosa_graph.addOperator(
+                TosaOp.Op().MUL,
+                [
+                    input_A_rescaled.name,
+                    input_B_rescaled.name,
+                ],
+                [mul_output.name],
+                attr,
+            )
+
+            tqutils.rescale_node_back_to_int8(
+                node, mul_output, input_A_qargs.scale * input_B_qargs.scale, tosa_graph
+            )
+
+        else:
+            attr = ts.TosaSerializerAttribute()
+            attr.MulAttribute(shift=0)
+            tosa_graph.addOperator(
+                TosaOp.Op().MUL, [inputs[0].name, inputs[1].name], [output.name], attr
+            )
diff --git a/backends/arm/operators/op_output.py b/backends/arm/operators/op_output.py
index 7d163114aa..1b053b18ed 100644
--- a/backends/arm/operators/op_output.py
+++ b/backends/arm/operators/op_output.py
@@ -3,6 +3,10 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
+from typing import cast
+
 import serializer.tosa_serializer as ts
 import torch
 
@@ -11,7 +15,7 @@ def process_output(
     node: torch.fx.Node,
     tosa_graph: ts.TosaSerializer,
 ):
-    for output in node.args[0]:
+    for output in cast(tuple[torch.fx.Node, ...], node.args[0]):
         tosa_graph.addOutputTensor(
             tosa_graph.currRegion.currBasicBlock.tensors[output.name]
         )
diff --git a/backends/arm/operators/op_permute.py b/backends/arm/operators/op_permute.py
index eafd6af367..167a0c382f 100644
--- a/backends/arm/operators/op_permute.py
+++ b/backends/arm/operators/op_permute.py
@@ -3,6 +3,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 from typing import List
 
 import serializer.tosa_serializer as ts
diff --git a/backends/arm/operators/op_placeholder.py b/backends/arm/operators/op_placeholder.py
index 0b2e65f45d..b5dcf3f987 100644
--- a/backends/arm/operators/op_placeholder.py
+++ b/backends/arm/operators/op_placeholder.py
@@ -3,9 +3,11 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import numpy as np
 import serializer.tosa_serializer as ts
-import torch
+import torch.fx
 from executorch.backends.arm.tosa_mapping import TosaArg
 from executorch.backends.arm.tosa_quant_utils import (
     get_quant_arg_dtype,
@@ -130,6 +132,21 @@ def process_inputs_to_buffers(
     )
 
 
+def process_inputs_to_lifted_tensor_constants(
+    node: torch.fx.Node,
+    tosa_graph: ts.TosaSerializer,
+    edge_program: ExportedProgram,
+):
+    arg = TosaArg(node)
+    tensor_name = edge_program.graph_signature.inputs_to_lifted_tensor_constants[
+        arg.name
+    ]
+    tensor = edge_program.tensor_constants[tensor_name]
+    tensor_data = tensor.detach().numpy()
+
+    tosa_graph.addConst(tensor_data.shape, arg.dtype, tensor_data, name=arg.name)
+
+
 def process_placeholder(
     node: torch.fx.Node,
     tosa_graph: ts.TosaSerializer,
@@ -145,5 +162,11 @@ def process_placeholder(
         process_inputs_to_parameters(node, tosa_graph, edge_program)
     elif node.name in edge_program.graph_signature.inputs_to_buffers:
         process_inputs_to_buffers(node, tosa_graph, edge_program)
+    elif node.name in edge_program.graph_signature.inputs_to_lifted_tensor_constants:
+        process_inputs_to_lifted_tensor_constants(node, tosa_graph, edge_program)
+    elif node.name in edge_program.graph_signature.inputs_to_lifted_custom_objs:
+        raise NotImplementedError(
+            "Placeholder is of type 'lifted custom object' which is not supported."
+        )
     else:
-        raise RuntimeError(f"Unknown placeholder {node.name}")
+        raise RuntimeError(f"Placeholder '{node.name}' is of unknown type.")
diff --git a/backends/arm/operators/op_quant.py b/backends/arm/operators/op_quant.py
index e6a62b3f20..8f83e79442 100644
--- a/backends/arm/operators/op_quant.py
+++ b/backends/arm/operators/op_quant.py
@@ -2,6 +2,8 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
 from typing import List
 
 import serializer.tosa_serializer as ts
diff --git a/backends/arm/operators/op_relu.py b/backends/arm/operators/op_relu.py
new file mode 100644
index 0000000000..20bba3f654
--- /dev/null
+++ b/backends/arm/operators/op_relu.py
@@ -0,0 +1,57 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+
+import executorch.backends.arm.tosa_quant_utils as tqutils
+import serializer.tosa_serializer as ts
+import torch.fx
+from executorch.backends.arm.operators.node_visitor import (
+    NodeVisitor,
+    register_node_visitor,
+)
+from executorch.backends.arm.tosa_mapping import TosaArg
+from serializer.tosa_serializer import TosaOp
+
+
+@register_node_visitor
+class ReluVisitor(NodeVisitor):
+    target = "aten.relu.default"
+
+    def __init__(self, *args):
+        super().__init__(*args)
+
+    def define_node(
+        self,
+        node: torch.fx.Node,
+        tosa_graph: ts.TosaSerializer,
+        inputs: list[TosaArg],
+        output: TosaArg,
+        is_quant_node: bool,
+    ) -> None:
+        attr = ts.TosaSerializerAttribute()
+
+        clamp_min_fp = 0.0
+        clamp_max_fp = 0.0
+        clamp_min_qs = 0
+        clamp_max_qs = 0
+        if is_quant_node:
+            out_qargs = tqutils.get_quant_node_args(list(node.users)[0])
+            clamp_min_qs = tqutils.quantize_value(0, out_qargs)
+            clamp_max_qs = tqutils.quantize_value(float("inf"), out_qargs)
+
+        else:
+            clamp_min_fp = 0
+            clamp_max_fp = float("inf")
+
+        attr.ClampAttribute(
+            tosa_graph.builder,
+            clamp_min_qs,
+            clamp_max_qs,
+            clamp_min_fp,
+            clamp_max_fp,
+        )
+
+        tosa_graph.addOperator(TosaOp.Op().CLAMP, [inputs[0].name], [output.name], attr)
diff --git a/backends/arm/operators/op_repeat.py b/backends/arm/operators/op_repeat.py
new file mode 100644
index 0000000000..20de9e0846
--- /dev/null
+++ b/backends/arm/operators/op_repeat.py
@@ -0,0 +1,68 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+
+import serializer.tosa_serializer as ts
+import torch
+from executorch.backends.arm.operators.node_visitor import (
+    NodeVisitor,
+    register_node_visitor,
+)
+from executorch.backends.arm.tosa_mapping import TosaArg
+from executorch.backends.arm.tosa_utils import tosa_shape
+from serializer.tosa_serializer import TosaOp
+
+
+@register_node_visitor
+class RepeatVisitor(NodeVisitor):
+    target = "aten.repeat.default"
+
+    def __init__(self, *args):
+        super().__init__(*args)
+
+    def define_node(
+        self,
+        node: torch.fx.Node,
+        tosa_graph: ts.TosaSerializer,
+        inputs: list[TosaArg],
+        output: TosaArg,
+        is_quant_node: bool,
+    ) -> None:
+
+        item_name = inputs[0].name
+        shape = inputs[0].shape
+        rank = len(shape)
+        multiples = inputs[1].special
+        new_rank = len(multiples)
+
+        assert new_rank >= rank
+
+        # TILE only supports rank(in) == rank(out). To add more dims, we need a reshape first.
+        if new_rank > rank:
+            # Add length 1 dimensions to shape to match multiples
+            num_new_dims = new_rank - rank
+            expanded_shape = tuple(
+                1 if i < num_new_dims else shape[i - num_new_dims]
+                for i in range(new_rank)
+            )
+            expanded_shape = tosa_shape(expanded_shape, output.dim_order)
+            dtype = (
+                ts.dtype_str_to_val("INT8")
+                if is_quant_node
+                else ts.dtype_str_to_val("FP32")
+            )
+
+            rescale_out = tosa_graph.addIntermediate(expanded_shape, dtype)
+            rescale_attr = ts.TosaSerializerAttribute()
+            rescale_attr.ReshapeAttribute(expanded_shape)
+            tosa_graph.addOperator(
+                TosaOp.Op().RESHAPE, [item_name], [rescale_out.name], rescale_attr
+            )
+            item_name = rescale_out.name
+
+        attr = ts.TosaSerializerAttribute()
+        attr.TileAttribute(tosa_shape(multiples, output.dim_order))
+        tosa_graph.addOperator(TosaOp.Op().TILE, [item_name], [output.name], attr)
diff --git a/backends/arm/operators/op_sigmoid.py b/backends/arm/operators/op_sigmoid.py
index 884c803482..0087b1f7a8 100644
--- a/backends/arm/operators/op_sigmoid.py
+++ b/backends/arm/operators/op_sigmoid.py
@@ -2,6 +2,8 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
 from typing import List
 
 import numpy as np
diff --git a/backends/arm/operators/op_slice.py b/backends/arm/operators/op_slice.py
index 8d59835ff0..0dfb287cd7 100644
--- a/backends/arm/operators/op_slice.py
+++ b/backends/arm/operators/op_slice.py
@@ -3,6 +3,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 from typing import List
 
 import serializer.tosa_serializer as ts
@@ -40,6 +42,8 @@ def define_node(
         shape = input_node.shape
         dim = dim.number
         end = (shape[dim] + end.number) % shape[dim]
+        if end == 0:
+            end = shape[dim]
         size = end - start.number
         assert size > 0
         assert size <= shape[dim]
diff --git a/backends/arm/operators/op_softmax.py b/backends/arm/operators/op_softmax.py
index 627fa64aed..1ac4241318 100644
--- a/backends/arm/operators/op_softmax.py
+++ b/backends/arm/operators/op_softmax.py
@@ -2,6 +2,8 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
 from typing import List
 
 import serializer.tosa_serializer as ts
@@ -33,7 +35,7 @@ def define_node(
         input_name = inputs[0].name
         dim_order = inputs[0].dim_order
         input_shape = tosa_shape(inputs[0].shape, dim_order)
-        dim_value = dim_order.index(inputs[1].number)
+        dim_value = dim_order.index(inputs[1].number % len(dim_order))
 
         ## softmax = exp(logits - max(logits)) / reduce_sum(exp(logits - max(logits)), -1)
         # FP32
diff --git a/backends/arm/operators/op_sub.py b/backends/arm/operators/op_sub.py
index 3dc1519f37..2089b6e9e9 100644
--- a/backends/arm/operators/op_sub.py
+++ b/backends/arm/operators/op_sub.py
@@ -3,6 +3,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 from typing import List
 
 import executorch.backends.arm.tosa_quant_utils as tqutils
diff --git a/backends/arm/operators/op_unsqueeze.py b/backends/arm/operators/op_unsqueeze.py
new file mode 100644
index 0000000000..c14128fdc8
--- /dev/null
+++ b/backends/arm/operators/op_unsqueeze.py
@@ -0,0 +1,53 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+#
+#  Follows this specification: https://pytorch.org/docs/stable/generated/torch.unsqueeze.html
+
+# pyre-unsafe
+
+import serializer.tosa_serializer as ts
+import torch.fx
+from executorch.backends.arm.operators.node_visitor import (
+    NodeVisitor,
+    register_node_visitor,
+)
+from executorch.backends.arm.tosa_mapping import TosaArg
+from executorch.backends.arm.tosa_utils import tosa_shape
+from serializer.tosa_serializer import TosaOp
+
+
+@register_node_visitor
+class UnsqueezeVisitor(NodeVisitor):
+    target = "aten.unsqueeze_copy.default"
+
+    def __init__(self, *args):
+        super().__init__(*args)
+
+    def define_node(
+        self,
+        node: torch.fx.Node,
+        tosa_graph: ts.TosaSerializer,
+        inputs: list[TosaArg],
+        output: TosaArg,
+        is_quant_node: bool,
+    ) -> None:
+
+        dim = inputs[1].number
+        shape = inputs[0].shape
+        rank = len(shape)
+
+        assert -rank - 1 <= dim < rank + 1
+        if dim < 0:
+            dim = dim + rank + 1
+
+        new_shape = list(shape)
+        new_shape.insert(dim, 1)
+        new_shape = tosa_shape(new_shape, output.dim_order)
+
+        attr = ts.TosaSerializerAttribute()
+        attr.ReshapeAttribute(new_shape)
+        tosa_graph.addOperator(
+            TosaOp.Op().RESHAPE, [inputs[0].name], [output.name], attr
+        )
diff --git a/backends/arm/operators/op_view.py b/backends/arm/operators/op_view.py
index 682eacd5e3..8667df590d 100644
--- a/backends/arm/operators/op_view.py
+++ b/backends/arm/operators/op_view.py
@@ -2,10 +2,13 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
 from typing import List
 
 import serializer.tosa_serializer as ts
 import torch
+import tosa.Op as TosaOp
 
 from executorch.backends.arm.operators.node_visitor import (
     NodeVisitor,
@@ -13,7 +16,6 @@
 )
 from executorch.backends.arm.tosa_mapping import TosaArg
 from executorch.backends.arm.tosa_utils import tosa_shape
-from serializer.tosa_serializer import TosaOp
 
 
 @register_node_visitor
diff --git a/backends/arm/passes/TARGETS b/backends/arm/passes/TARGETS
new file mode 100644
index 0000000000..ca20b03fcc
--- /dev/null
+++ b/backends/arm/passes/TARGETS
@@ -0,0 +1,12 @@
+load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
+
+python_library(
+    name = "passes",
+    srcs = glob(["*.py"]),
+    typing = True,
+    deps = [
+        "//executorch/backends/arm:tosa_quant_utils",
+        "//executorch/backends/arm:tosa_utils",
+        "//executorch/exir:lib",
+    ],
+)
diff --git a/backends/arm/passes/annotate_channels_last_dim_order_pass.py b/backends/arm/passes/annotate_channels_last_dim_order_pass.py
index 9bb45c504a..222c0a7cb3 100644
--- a/backends/arm/passes/annotate_channels_last_dim_order_pass.py
+++ b/backends/arm/passes/annotate_channels_last_dim_order_pass.py
@@ -4,6 +4,10 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
+from typing import cast
+
 import torch
 from executorch.backends.arm.tosa_quant_utils import dq_op
 from executorch.backends.arm.tosa_utils import is_consumer_node_depthwise_conv2d
@@ -28,9 +32,11 @@ def is_weight_node_for_depthwise_conv2d(self, node: torch.fx.Node):
             if node.target != dq_op:
                 return False
             prev_node = node.args[0]
-            if prev_node.op != "placeholder":
+            if cast(torch.fx.Node, prev_node).op != "placeholder":
                 return False
-            return is_consumer_node_depthwise_conv2d(node)
+            if is_consumer_node_depthwise_conv2d(node):
+                consumer_node = list(node.users)[0]
+                return consumer_node.args[1] == node
         elif node.op == "placeholder":
             # node is an input, weight or bias node
             consumer_node = list(node.users)[0]
@@ -46,7 +52,9 @@ def call(self, graph_module: torch.fx.GraphModule):
         NHWC_Order = (0, 2, 3, 1)
         HWCM_Order = (2, 3, 0, 1)
         for node in graph_module.graph.nodes:
-            if isinstance(node.meta["val"], tuple):
+            if isinstance(
+                node.meta["val"], (tuple, torch.fx.immutable_collections.immutable_list)
+            ):
                 node_data = node.meta["val"][0].data
             else:
                 node_data = node.meta["val"].data
diff --git a/backends/arm/passes/arm_pass_manager.py b/backends/arm/passes/arm_pass_manager.py
index c2453f701f..75ef551171 100644
--- a/backends/arm/passes/arm_pass_manager.py
+++ b/backends/arm/passes/arm_pass_manager.py
@@ -5,25 +5,41 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import torch
 from executorch.backends.arm.passes.annotate_channels_last_dim_order_pass import (
     AnnotateChannelsLastDimOrder,
 )
+from executorch.backends.arm.passes.convert_expand_copy_to_repeat import (
+    ConvertExpandCopyToRepeatPass,
+)
+from executorch.backends.arm.passes.convert_split_to_slice import (
+    ConvertSplitToSlicePass,
+)
+from executorch.backends.arm.passes.meandim_to_averagepool_pass import (
+    ConvertMeanDimToAveragePool,
+)
 from executorch.backends.arm.passes.remove_clone_pass import RemoveClonePass
+from executorch.backends.arm.passes.size_adjust_conv2d_pass import SizeAdjustConv2DPass
 from executorch.exir.backend.compile_spec_schema import CompileSpec
 from executorch.exir.pass_manager import PassManager
 
 
 class ArmPassManager(PassManager):
 
-    def _transform(self, graph_module: torch.fx.Graph):
+    def _transform(self, graph_module: torch.fx.GraphModule):
         return self(graph_module).graph_module
 
     def transform_to_backend_pipeline(
-        self, graph_module: torch.fx.Graph, compile_spec: CompileSpec
+        self, graph_module: torch.fx.GraphModule, compile_spec: list[CompileSpec]
     ):
         """Apply passes before transforming program to backend"""
+        self.add_pass(SizeAdjustConv2DPass())
         self.add_pass(RemoveClonePass())
+        self.add_pass(ConvertExpandCopyToRepeatPass())
+        self.add_pass(ConvertMeanDimToAveragePool())
+        self.add_pass(ConvertSplitToSlicePass())
         for spec in compile_spec:
             if spec.key == "permute_memory_format":
                 memory_format = spec.value.decode()
diff --git a/backends/arm/passes/convert_expand_copy_to_repeat.py b/backends/arm/passes/convert_expand_copy_to_repeat.py
new file mode 100644
index 0000000000..249c014ae6
--- /dev/null
+++ b/backends/arm/passes/convert_expand_copy_to_repeat.py
@@ -0,0 +1,63 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+
+from typing import cast
+
+import torch.fx
+from executorch.backends.arm.tosa_mapping import extract_tensor_meta
+from executorch.exir.dialects._ops import ops as exir_ops
+from executorch.exir.pass_base import ExportPass, PassResult
+from torch.fx.passes.utils.source_matcher_utils import get_source_partitions
+
+
+class ConvertExpandCopyToRepeatPass(ExportPass):
+    """
+    Replace expand copy with repeat since it is a repeat that can only repeat singleton dimensions.
+    """
+
+    expand_copy = exir_ops.edge.aten.expand_copy.default
+    repeat = exir_ops.edge.aten.repeat.default
+    patterns = [{expand_copy: 1}]
+
+    def call(self, graph_module: torch.fx.GraphModule):
+        graph = graph_module.graph
+        partitions = get_source_partitions(
+            graph, [torch.expand_copy, torch.Tensor.expand, "expand"]
+        )
+        for _, src_partitions in partitions.items():
+            for src_partition in src_partitions:
+                assert len(src_partition.nodes) == 1
+
+                expand_node = src_partition.nodes[0]
+                _, shape, _ = extract_tensor_meta(expand_node.all_input_nodes[0].meta)
+                multiples = cast(tuple[int], expand_node.args[1])
+                expanded_rank = len(multiples)
+
+                # Expanded shape is 'shape' front-padded with ones.
+                padding = expanded_rank - len(shape)
+                extended_shape = [
+                    shape[i] if i >= 0 else 1 for i in range(-padding, len(shape))
+                ]
+
+                # To convert expand arg to repeat arg, non-repeated dims should have
+                # multiples[dim] = 1.
+                multiples = [
+                    multiples[i] if extended_shape[i] == 1 else 1
+                    for i in range(expanded_rank)
+                ]
+                args = (expand_node.args[0], multiples)
+
+                with graph_module.graph.inserting_before(expand_node):
+                    repeat_node = graph.create_node("call_function", self.repeat, args)
+                    repeat_node.meta = expand_node.meta
+                    for user in expand_node.users.copy():
+                        user.replace_input_with(expand_node, repeat_node)
+
+        graph.eliminate_dead_code()
+        graph_module.recompile()
+        return PassResult(graph_module, True)
diff --git a/backends/arm/passes/convert_split_to_slice.py b/backends/arm/passes/convert_split_to_slice.py
new file mode 100644
index 0000000000..29aae37fe9
--- /dev/null
+++ b/backends/arm/passes/convert_split_to_slice.py
@@ -0,0 +1,72 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+
+import torch.fx
+from executorch.backends.arm.tosa_mapping import extract_tensor_meta
+from executorch.exir.dialects._ops import ops as exir_ops
+from executorch.exir.pass_base import ExportPass, PassResult
+
+
+class ConvertSplitToSlicePass(ExportPass):
+    """
+    Replace a split operation with many slice operations.
+    """
+
+    split_ops = (
+        exir_ops.edge.aten.split_with_sizes_copy.default,
+        exir_ops.edge.aten.split_copy.Tensor,
+    )
+    slice = exir_ops.edge.aten.slice_copy.Tensor
+
+    def call(self, graph_module: torch.fx.GraphModule):
+        graph = graph_module.graph
+        for node in graph.nodes:
+            if node.target not in self.split_ops:
+                continue
+
+            # Get useful variables
+            split_node = node
+            input_node = split_node.all_input_nodes[0]
+            output_nodes = split_node.users.copy()
+            _, shape, _ = extract_tensor_meta(input_node.meta)
+            rank = len(shape)
+            split_lengths = split_node.args[1]
+            dim = split_node.args[2] if len(split_node.args) > 2 else 0
+            dim = (dim + rank) % rank
+
+            assert (
+                sum(split_lengths) == shape[dim]
+            ), "Given split lengths don't sum up to the size of the dimension."
+
+            # Convert split argument 'split_lengths' to slice arguments start and end.
+            starts = [0] * len(split_lengths)
+            ends = [0] * len(split_lengths)
+            start = 0
+            end = 0
+            for i, split_length in enumerate(split_lengths):
+                end = start + split_length
+                starts[i] = start
+                ends[i] = end
+                start = end
+
+            # Output nodes are of type getitem
+            # Create one slice node for each output node with matching argumetns.
+            with graph_module.graph.inserting_before(split_node):
+                for output_node in output_nodes:
+                    index = output_node.args[1]
+                    slice_node = graph.create_node(
+                        "call_function",
+                        self.slice,
+                        (input_node, dim, starts[index], ends[index]),
+                    )
+                    slice_node.meta = split_node.meta.copy()
+                    slice_node.meta["val"] = slice_node.meta["val"][index]
+                    output_node.replace_input_with(split_node, slice_node)
+        graph.eliminate_dead_code()
+        graph_module.recompile()
+        return PassResult(graph_module, True)
diff --git a/backends/arm/passes/meandim_to_averagepool_pass.py b/backends/arm/passes/meandim_to_averagepool_pass.py
new file mode 100644
index 0000000000..0974eac740
--- /dev/null
+++ b/backends/arm/passes/meandim_to_averagepool_pass.py
@@ -0,0 +1,54 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+
+from typing import Any, cast, Dict, Tuple
+
+import torch.fx
+
+from executorch.exir.dialects._ops import ops as exir_ops
+from executorch.exir.pass_base import ExportPass, NodeMetadata, ProxyValue
+
+Argument = Any
+
+
+class ConvertMeanDimToAveragePool(ExportPass):
+    """
+    Replace a mean operation with dim = [-1, -2] and keep_dim = True with an average pool operation.
+    """
+
+    def call_operator(
+        self,
+        op: torch.fx.node.Target,
+        args: Tuple[Argument, ...],
+        kwargs: Dict[str, Argument],
+        meta: NodeMetadata,
+    ) -> ProxyValue:
+        if op != exir_ops.edge.aten.mean.dim:
+            return super().call_operator(op, args, kwargs, meta)
+
+        input_value = cast(ProxyValue, args[0])
+        dim = cast(list, args[1])
+        keep_dim = cast(bool, args[2]) if len(args) > 2 else False
+
+        # averagepool2d gets converted to a mean operation with dim = [-1, -2] and keep_dim = True
+        # so check the dim argument for this case
+        if dim == [-1, -2] and keep_dim is True:
+            # Given the shape format of input is (N, C, H, W)
+            kernel_size = [
+                input_value.to_tensor().size()[2],
+                input_value.to_tensor().size()[3],
+            ]
+            stride = [1, 1]
+            return super().call_operator(
+                exir_ops.edge.aten.avg_pool2d.default,
+                (input_value, kernel_size, stride),
+                {},
+                meta,
+            )
+        else:
+            return super().call_operator(op, args, kwargs, meta)
diff --git a/backends/arm/passes/remove_clone_pass.py b/backends/arm/passes/remove_clone_pass.py
index 6108080cb0..64a1ae8f43 100644
--- a/backends/arm/passes/remove_clone_pass.py
+++ b/backends/arm/passes/remove_clone_pass.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import torch
 from executorch.exir.dialects._ops import ops as exir_ops
 from executorch.exir.pass_base import ExportPass, PassResult
diff --git a/backends/arm/passes/size_adjust_conv2d_pass.py b/backends/arm/passes/size_adjust_conv2d_pass.py
new file mode 100644
index 0000000000..980ab09e59
--- /dev/null
+++ b/backends/arm/passes/size_adjust_conv2d_pass.py
@@ -0,0 +1,131 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+
+from typing import cast, Optional
+
+import torch.fx
+from executorch.backends.arm.tosa_quant_utils import is_quant_node
+from executorch.exir.dialects._ops import ops as exir_ops
+from executorch.exir.pass_base import ExportPass, PassResult
+from torch._ops import OpOverload
+
+
+def conv_remainder(input_length, pad, dilation, weight, stride):
+    """
+    Returns the size
+    """
+    return (input_length + 2 * pad - dilation * (weight - 1) - 1) % stride
+
+
+def insert_q_dq_pair(
+    graph: torch.fx.Graph,
+    anchor: torch.fx.Node,
+    q_params: tuple,
+):
+    with graph.inserting_after(anchor):
+        q = create_node(
+            graph=graph,
+            op_target=exir_ops.edge.quantized_decomposed.quantize_per_tensor.default,
+            args=(),  # We add the argument last
+        )
+        q.meta = anchor.meta
+
+    with graph.inserting_after(q):
+        dq = create_node(
+            graph=graph,
+            op_target=exir_ops.edge.quantized_decomposed.dequantize_per_tensor.default,
+            args=(q,) + q_params,
+        )
+        dq.meta = q.meta
+
+    anchor.replace_all_uses_with(dq)
+    # We add this last so the replace all uses above does not replace the quantized
+    # node's first use
+    q.args = (anchor,) + q_params
+    return dq
+
+
+def create_node(
+    graph: torch.fx.Graph,
+    op_target: OpOverload,
+    args: tuple = (),
+    kwargs: Optional[dict] = None,
+):
+    return graph.create_node(
+        "call_function",
+        op_target,
+        args=args,
+        kwargs=kwargs or {},
+    )
+
+
+class SizeAdjustConv2DPass(ExportPass):
+    """
+    Adjust the convolution input size to match perfectly with the
+    weight size, padding, stride and dilation parameters.
+    This is done by inserting a slice op to remove the uneven end of the input.
+    """
+
+    conv2d_op = exir_ops.edge.aten.convolution.default
+    slice_op = exir_ops.edge.aten.slice_copy.Tensor
+
+    def call(self, graph_module: torch.fx.GraphModule):
+        graph = graph_module.graph
+        modified_graph = False
+        for node in graph.nodes:
+            if node.op != "call_function":
+                continue
+            if node.target != self.conv2d_op:
+                continue
+
+            conv_node = cast(torch.fx.Node, node)
+            input_node, weight, _, stride_hw, pad_hw, dilation_hw, _, _, _ = (
+                conv_node.args
+            )
+            weight_shape = cast(torch.fx.Node, weight).meta["val"].shape
+            input_shape = cast(torch.fx.Node, input_node).meta["val"].shape
+
+            slice_args = []
+            for stride, pad, dilation, dim in zip(
+                cast(list, stride_hw),
+                cast(list, pad_hw),
+                cast(list, dilation_hw),
+                (2, 3),
+            ):
+                remainder = conv_remainder(
+                    input_shape[dim], pad, dilation, weight_shape[dim], stride
+                )
+                if remainder > pad:
+                    adjustment = remainder - pad
+                    args = (dim, 0, input_shape[dim] - adjustment)
+                    slice_args.append(args)
+            if len(slice_args) == 0:
+                continue
+
+            with graph_module.graph.inserting_before(node):
+                last_node = cast(torch.fx.Node, input_node)
+                for args in slice_args:
+                    slice_node = graph.create_node(
+                        "call_function", self.slice_op, (last_node,) + args
+                    )
+                    if is_quant_node(last_node):
+                        q_params = last_node.args[1:]
+                        dq_node = insert_q_dq_pair(
+                            graph_module.graph, slice_node, q_params
+                        )
+                        last_node = dq_node
+                    else:
+                        last_node = slice_node
+                conv_node.replace_input_with(cast(torch.fx.Node, input_node), last_node)
+                modified_graph = True
+
+        if modified_graph:
+            graph_module = super().call(graph_module).graph_module
+            graph.eliminate_dead_code()
+            graph_module.recompile()
+        return PassResult(graph_module, True)
diff --git a/backends/arm/passes/tag_io_quant_pass.py b/backends/arm/passes/tag_io_quant_pass.py
index d2bf74462e..2fce6cf3fd 100644
--- a/backends/arm/passes/tag_io_quant_pass.py
+++ b/backends/arm/passes/tag_io_quant_pass.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import torch
 from executorch.exir.dialects._ops import ops as exir_ops
 from executorch.exir.pass_base import ExportPass, PassResult
diff --git a/backends/arm/quantizer/TARGETS b/backends/arm/quantizer/TARGETS
new file mode 100644
index 0000000000..840586488b
--- /dev/null
+++ b/backends/arm/quantizer/TARGETS
@@ -0,0 +1,31 @@
+load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
+
+python_library(
+    name = "arm_quantizer",
+    srcs = ["arm_quantizer.py"],
+    typing = True,
+    deps = [
+        ":arm_quantizer_utils",
+        "//caffe2:torch",
+        "//executorch/backends/arm/quantizer/quantization_annotation:quantization_annotation",
+        "//executorch/exir:lib",
+    ],
+)
+
+python_library(
+    name = "quantization_config",
+    srcs = ["quantization_config.py"],
+    typing = True,
+    deps = [
+        "//caffe2:torch",
+    ],
+)
+
+python_library(
+    name = "arm_quantizer_utils",
+    srcs = ["arm_quantizer_utils.py"],
+    typing = True,
+    deps = [
+        ":quantization_config",
+    ],
+)
diff --git a/backends/arm/quantizer/arm_quantizer.py b/backends/arm/quantizer/arm_quantizer.py
index 397ba68565..853fd47c29 100644
--- a/backends/arm/quantizer/arm_quantizer.py
+++ b/backends/arm/quantizer/arm_quantizer.py
@@ -5,6 +5,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 #
 # Quantizer for Arm backend
 #
@@ -73,6 +75,7 @@ def _supported_symmetric_quantized_operators() -> Dict[str, List[OperatorPattern
             [torch.nn.AdaptiveAvgPool2d],
             [F.adaptive_avg_pool2d],
         ],
+        "mul": [torch.mul],
         "sub": [[torch.sub]],
     }
     return copy.deepcopy(supported_operators)
@@ -265,6 +268,9 @@ class ArmQuantizer(Quantizer):
         "sub",
         "mul",
         "sigmoid",
+        "mm",
+        "cat",
+        "one_to_one",
     ]
 
     def __init__(self) -> None:
@@ -385,7 +391,7 @@ def _annotate_io(
         for node in model.graph.nodes:
             if arm_quantizer_utils.is_annotated(node):
                 continue
-            if node.op == "placeholder":
+            if node.op == "placeholder" and len(node.users) > 0:
                 _annotate_output_qspec(
                     node,
                     quantization_config.get_output_act_qspec(),
diff --git a/backends/arm/quantizer/arm_quantizer_utils.py b/backends/arm/quantizer/arm_quantizer_utils.py
index 89703f89b0..fe9c5e34e6 100644
--- a/backends/arm/quantizer/arm_quantizer_utils.py
+++ b/backends/arm/quantizer/arm_quantizer_utils.py
@@ -5,11 +5,14 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 #
 # Utility functions for ArmQuantizer
 #
 
-from typing import Callable, cast, List
+import operator
+from typing import Callable, cast, List, Union
 
 import torch
 from executorch.backends.arm.quantizer.quantization_config import QuantizationConfig
@@ -71,7 +74,7 @@ def get_shared_qspec(
 
         Both outputs are None if one of the inputs is a node that can't be quantized.
     """
-    input_act0 = node.args[0]
+    input_act0 = cast(Node, node.args[0])
     input_act1 = node.args[1]
 
     input_act_qspec = quantization_config.get_input_act_qspec()
@@ -101,12 +104,19 @@ def is_input_ok_for_quantization(input_act: Node, gm: GraphModule):
     )
 
 
+def get_node_target(module: torch.nn.Module | GraphModule, target_str: str):
+    targets = target_str.split(".")
+    for target in targets[:-1]:
+        module = module.get_submodule(target)
+    return getattr(module, targets[-1])
+
+
 def is_input_large_scalar(node: Node, gm: GraphModule):
     """Check if input is a large scalar value. So that we can skip quantization for the node
     since histc op (in HistogramObserver) only works for values up to certain upper bound
     """
     if node.op == "get_attr" and isinstance(node.target, str):
-        tensor = getattr(gm, node.target)
+        tensor = get_node_target(gm, node.target)
         # torch.histc works until this upper bound
         HISTC_UPPER_BOUND = 3.4028235e15
         return tensor.numel() == 1 and abs(tensor.item()) > HISTC_UPPER_BOUND
@@ -130,6 +140,7 @@ def is_share_obs_or_fq_op(op: Callable) -> bool:
     return op in [
         torch.ops.aten.hardtanh.default,
         torch.ops.aten.hardtanh_.default,
+        torch.ops.aten.relu.default,
         torch.ops.aten.mean.default,
         torch.ops.aten.mean.dim,
         torch.ops.aten.permute.default,
@@ -141,8 +152,11 @@ def is_share_obs_or_fq_op(op: Callable) -> bool:
         torch.ops.aten.view_copy.default,
         torch.ops.aten.view.default,
         torch.ops.aten.slice.Tensor,
+        torch.ops.aten.split.Tensor,
+        torch.ops.aten.split_with_sizes.default,
         torch.ops.aten.flatten.using_ints,
         torch.ops.aten.dropout.default,
+        operator.getitem,
     ]
 
 
@@ -157,7 +171,9 @@ def propagate_annotation(model: GraphModule) -> None:
         n = cast(Node, n)
         if is_annotated(n):
             continue
-        if n.op != "call_function" or not is_share_obs_or_fq_op(n.target):
+        if n.op != "call_function" or not is_share_obs_or_fq_op(
+            cast(Callable, n.target)
+        ):
             continue
 
         prev_node = n.args[0]
@@ -205,7 +221,7 @@ def convert_scalars_to_attrs(model: GraphModule) -> GraphModule:
             prefix = "_tensor_constant_"
             get_new_attr_name = get_new_attr_name_with_prefix(prefix)
             tensor_constant_name = get_new_attr_name(model)
-            float_tensor = torch.tensor(float(args[i]))
+            float_tensor = torch.tensor(float(cast(Union[int, float], args[i])))
             model.register_buffer(tensor_constant_name, float_tensor)
             fake_mode = n.meta["val"].fake_mode
             with model.graph.inserting_before(n):
diff --git a/backends/arm/quantizer/quantization_annotation/TARGETS b/backends/arm/quantizer/quantization_annotation/TARGETS
new file mode 100644
index 0000000000..4ce8b5cad2
--- /dev/null
+++ b/backends/arm/quantizer/quantization_annotation/TARGETS
@@ -0,0 +1,12 @@
+load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
+
+python_library(
+    name = "quantization_annotation",
+    srcs = glob(["*.py"]),
+    typing = True,
+    deps = [
+        "//caffe2:torch",
+        "//executorch/backends/arm/quantizer:arm_quantizer_utils",
+        "//executorch/backends/arm/quantizer:quantization_config",
+    ],
+)
diff --git a/backends/arm/quantizer/quantization_annotation/__init__.py b/backends/arm/quantizer/quantization_annotation/__init__.py
index d162bfd479..f7219201de 100644
--- a/backends/arm/quantizer/quantization_annotation/__init__.py
+++ b/backends/arm/quantizer/quantization_annotation/__init__.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 
 from typing import Callable, Dict, List, NamedTuple, Optional
 
@@ -49,10 +51,13 @@ def decorator(annotator: AnnotatorType):
 from . import (  # noqa
     adaptive_ang_pool2d_annotator,
     add_annotator,
+    cat_annotator,
     conv_annotator,
     linear_annotator,
     max_pool2d_annotator,
+    mm_annotator,
     mul_annotator,
+    one_to_one_annotator,
     sigmoid_annotator,
     sub_annotator,
 )
diff --git a/backends/arm/quantizer/quantization_annotation/adaptive_ang_pool2d_annotator.py b/backends/arm/quantizer/quantization_annotation/adaptive_ang_pool2d_annotator.py
index acbdc45b6b..723a48f664 100644
--- a/backends/arm/quantizer/quantization_annotation/adaptive_ang_pool2d_annotator.py
+++ b/backends/arm/quantizer/quantization_annotation/adaptive_ang_pool2d_annotator.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import itertools
 from typing import Callable, List, Optional
 
diff --git a/backends/arm/quantizer/quantization_annotation/add_annotator.py b/backends/arm/quantizer/quantization_annotation/add_annotator.py
index 2926e92f24..35801bd568 100644
--- a/backends/arm/quantizer/quantization_annotation/add_annotator.py
+++ b/backends/arm/quantizer/quantization_annotation/add_annotator.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import itertools
 import operator
 from typing import Callable, List, Optional
diff --git a/backends/arm/quantizer/quantization_annotation/cat_annotator.py b/backends/arm/quantizer/quantization_annotation/cat_annotator.py
new file mode 100644
index 0000000000..6e138cd9de
--- /dev/null
+++ b/backends/arm/quantizer/quantization_annotation/cat_annotator.py
@@ -0,0 +1,68 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright 2024 Arm Limited and/or its affiliates.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+
+import itertools
+from typing import Callable, cast, List, Optional
+
+import torch.fx
+from executorch.backends.arm.quantizer import arm_quantizer_utils
+from executorch.backends.arm.quantizer.quantization_annotation import register_annotator
+from executorch.backends.arm.quantizer.quantization_config import QuantizationConfig
+from torch.ao.quantization.quantizer import (
+    QuantizationAnnotation,
+    SharedQuantizationSpec,
+)
+from torch.fx import Node
+from torch.fx.passes.utils.source_matcher_utils import get_source_partitions
+
+
+@register_annotator("cat")
+def _annotate_cat(
+    gm: torch.fx.GraphModule,
+    quantization_config: QuantizationConfig,
+    filter_fn: Optional[Callable[[Node], bool]] = None,
+) -> Optional[List[List[Node]]]:
+    cat_partitions = get_source_partitions(gm.graph, [torch.cat], filter_fn)
+    cat_partitions = list(itertools.chain.from_iterable(cat_partitions.values()))
+    annotated_partitions = []
+    for cat_partition in cat_partitions:
+        annotated_partitions.append(cat_partition.nodes)
+        cat_node = cat_partition.output_nodes[0]
+        if arm_quantizer_utils.is_annotated(cat_node):
+            continue
+
+        input_acts = cast(list[torch.fx.Node], cat_node.args[0])
+        input_act0 = input_acts[0]
+
+        input_act_qspec = quantization_config.get_input_act_qspec()
+        shared_with_input0_qspec = SharedQuantizationSpec((input_act0, cat_node))
+
+        input_qspec_map = {}
+
+        # First input is set to input qspec from the quantization config.
+        if isinstance(input_act0, Node):
+            if not arm_quantizer_utils.is_input_ok_for_quantization(input_act0, gm):
+                continue
+            input_qspec_map[input_act0] = input_act_qspec
+
+        # For the rest of the inputs, share qspec with first.
+        # If we can't quantize any of the inputs, abort annotation.
+        for input_act in input_acts[1:]:
+            if isinstance(input_act, Node):
+                if not arm_quantizer_utils.is_input_ok_for_quantization(input_act, gm):
+                    continue
+                if input_act is not input_act0:
+                    input_qspec_map[input_act] = shared_with_input0_qspec
+
+        if input_qspec_map is not None:
+            cat_node.meta["quantization_annotation"] = QuantizationAnnotation(
+                input_qspec_map=input_qspec_map,
+                output_qspec=shared_with_input0_qspec,
+                _annotated=True,
+            )
+    return annotated_partitions
diff --git a/backends/arm/quantizer/quantization_annotation/conv_annotator.py b/backends/arm/quantizer/quantization_annotation/conv_annotator.py
index 40a1f1ee9e..4ff7dd9e80 100644
--- a/backends/arm/quantizer/quantization_annotation/conv_annotator.py
+++ b/backends/arm/quantizer/quantization_annotation/conv_annotator.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.f
 
+# pyre-unsafe
+
 from typing import Callable, List, Optional
 
 import torch
diff --git a/backends/arm/quantizer/quantization_annotation/linear_annotator.py b/backends/arm/quantizer/quantization_annotation/linear_annotator.py
index 95b881a954..7c3f91ec70 100644
--- a/backends/arm/quantizer/quantization_annotation/linear_annotator.py
+++ b/backends/arm/quantizer/quantization_annotation/linear_annotator.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 from typing import Callable, List, Optional
 
 import torch
diff --git a/backends/arm/quantizer/quantization_annotation/max_pool2d_annotator.py b/backends/arm/quantizer/quantization_annotation/max_pool2d_annotator.py
index 3d9d8b2e6c..0ef2ee39fe 100644
--- a/backends/arm/quantizer/quantization_annotation/max_pool2d_annotator.py
+++ b/backends/arm/quantizer/quantization_annotation/max_pool2d_annotator.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import itertools
 from typing import Callable, List, Optional
 
diff --git a/backends/arm/quantizer/quantization_annotation/mm_annotator.py b/backends/arm/quantizer/quantization_annotation/mm_annotator.py
new file mode 100644
index 0000000000..b48c6d5990
--- /dev/null
+++ b/backends/arm/quantizer/quantization_annotation/mm_annotator.py
@@ -0,0 +1,58 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright 2024 Arm Limited and/or its affiliates.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+
+import itertools
+from typing import Callable, List, Optional
+
+import torch
+from executorch.backends.arm.quantizer import arm_quantizer_utils
+from executorch.backends.arm.quantizer.quantization_annotation import register_annotator
+from executorch.backends.arm.quantizer.quantization_config import QuantizationConfig
+from torch.ao.quantization.quantizer import QuantizationAnnotation
+from torch.fx import Node
+from torch.fx.passes.utils.source_matcher_utils import get_source_partitions
+
+
+@register_annotator("mm")
+def _annotate_mm(
+    gm: torch.fx.GraphModule,
+    quantization_config: QuantizationConfig,
+    filter_fn: Optional[Callable[[Node], bool]] = None,
+) -> Optional[List[List[Node]]]:
+    mm_partitions = get_source_partitions(gm.graph, [torch.mm, torch.bmm], filter_fn)
+    mm_partitions = list(itertools.chain.from_iterable(mm_partitions.values()))
+    annotated_partitions = []
+    for mm_partition in mm_partitions:
+        annotated_partitions.append(mm_partition.nodes)
+        mm_node = mm_partition.output_nodes[0]
+
+        if arm_quantizer_utils.is_annotated(mm_node):
+            continue
+
+        input_act_qspec = quantization_config.get_input_act_qspec()
+        output_act_qspec = quantization_config.get_output_act_qspec()
+
+        input_qspec_map = {}
+        input_act0 = mm_node.args[0]
+        if isinstance(input_act0, Node):
+            if not arm_quantizer_utils.is_input_ok_for_quantization(input_act0, gm):
+                continue
+            input_qspec_map[input_act0] = input_act_qspec
+
+        input_act1 = mm_node.args[1]
+        if isinstance(input_act1, Node):
+            if not arm_quantizer_utils.is_input_ok_for_quantization(input_act1, gm):
+                continue
+            input_qspec_map[input_act1] = input_act_qspec
+
+        mm_node.meta["quantization_annotation"] = QuantizationAnnotation(
+            input_qspec_map=input_qspec_map,
+            output_qspec=output_act_qspec,
+            _annotated=True,
+        )
+    return annotated_partitions
diff --git a/backends/arm/quantizer/quantization_annotation/mul_annotator.py b/backends/arm/quantizer/quantization_annotation/mul_annotator.py
index 6ec8f95531..4717eac320 100644
--- a/backends/arm/quantizer/quantization_annotation/mul_annotator.py
+++ b/backends/arm/quantizer/quantization_annotation/mul_annotator.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import itertools
 import operator
 from typing import Callable, List, Optional
diff --git a/backends/arm/quantizer/quantization_annotation/one_to_one_annotator.py b/backends/arm/quantizer/quantization_annotation/one_to_one_annotator.py
new file mode 100644
index 0000000000..8d507c11ef
--- /dev/null
+++ b/backends/arm/quantizer/quantization_annotation/one_to_one_annotator.py
@@ -0,0 +1,57 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright 2024 Arm Limited and/or its affiliates.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+
+from typing import Callable, List, Optional
+
+import torch
+import torch.fx
+from executorch.backends.arm.quantizer import arm_quantizer_utils
+from executorch.backends.arm.quantizer.quantization_annotation import register_annotator
+from executorch.backends.arm.quantizer.quantization_config import QuantizationConfig
+from torch.ao.quantization.quantizer.utils import (
+    _annotate_input_qspec_map,
+    _annotate_output_qspec,
+)
+from torch.fx import Node
+
+
+@register_annotator("one_to_one")
+def _annotate_one_to_one(
+    gm: torch.fx.GraphModule,
+    quantization_config: QuantizationConfig,
+    filter_fn: Optional[Callable[[Node], bool]] = None,
+) -> Optional[List[List[Node]]]:
+    """
+    This annotator adds the input and output qspec from the quantization config to
+    ops in 'one_to_one_ops' that have the following properties:
+    - Have a single input and single output.
+    - Can handle different qspecs on the input and output.
+
+    Typical ops are ops implemented with a lookup table.
+    """
+    annotated_partitions = []
+    one_to_one_ops = (torch.ops.aten.exp.default, torch.ops.aten.log.default)
+    for node in gm.graph.nodes:
+        if node.op != "call_function" or node.target not in one_to_one_ops:
+            continue
+        if filter_fn and not filter_fn(node):
+            continue
+        input_node = node.args[0]
+
+        if not arm_quantizer_utils.is_annotated(node):
+            _annotate_input_qspec_map(
+                node,
+                input_node,
+                quantization_config.get_input_act_qspec(),
+            )
+            _annotate_output_qspec(node, quantization_config.get_output_act_qspec())
+
+            arm_quantizer_utils.mark_nodes_as_annotated([node])
+            annotated_partitions.append([node])
+
+    return annotated_partitions
diff --git a/backends/arm/quantizer/quantization_annotation/sigmoid_annotator.py b/backends/arm/quantizer/quantization_annotation/sigmoid_annotator.py
index bd683d81f0..3d24269483 100644
--- a/backends/arm/quantizer/quantization_annotation/sigmoid_annotator.py
+++ b/backends/arm/quantizer/quantization_annotation/sigmoid_annotator.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 from typing import Callable, List, Optional
 
 import torch
diff --git a/backends/arm/quantizer/quantization_annotation/sub_annotator.py b/backends/arm/quantizer/quantization_annotation/sub_annotator.py
index 4686d480ed..92f1808d02 100644
--- a/backends/arm/quantizer/quantization_annotation/sub_annotator.py
+++ b/backends/arm/quantizer/quantization_annotation/sub_annotator.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import itertools
 import operator
 from typing import Callable, List, Optional
diff --git a/backends/arm/quantizer/quantization_config.py b/backends/arm/quantizer/quantization_config.py
index f94c3e18da..1e776d37a6 100644
--- a/backends/arm/quantizer/quantization_config.py
+++ b/backends/arm/quantizer/quantization_config.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 from dataclasses import dataclass
 
 import torch
diff --git a/backends/arm/runtime/ArmBackendEthosU.cpp b/backends/arm/runtime/ArmBackendEthosU.cpp
index 1419fe8f48..6d9ab6b009 100644
--- a/backends/arm/runtime/ArmBackendEthosU.cpp
+++ b/backends/arm/runtime/ArmBackendEthosU.cpp
@@ -11,15 +11,15 @@
  */
 
 #include <cstring>
-
-#include <executorch/runtime/backend/interface.h>
-#include <executorch/runtime/core/error.h>
-#include <executorch/runtime/core/evalue.h>
-
-#include <executorch/backends/arm/runtime/VelaBinStream.h>
+#include <memory>
 
 #include <ethosu_driver.h>
-#include <pmu_ethosu.h>
+
+#include "executorch/backends/arm/runtime/VelaBinStream.h"
+#include "executorch/runtime/backend/interface.h"
+#include "executorch/runtime/core/error.h"
+#include "executorch/runtime/core/evalue.h"
+#include "executorch/runtime/core/exec_aten/util/scalar_type_util.h"
 
 using namespace std;
 
@@ -31,7 +31,22 @@ typedef struct {
   bool permuted_io_flag;
 } ExecutionHandle;
 
-class ArmBackend final : public PyTorchBackendInterface {
+extern "C" {
+void __attribute__((weak)) ArmBackend_execute_begin() {}
+void __attribute__((weak)) ArmBackend_execute_end() {}
+}
+
+class ArmBackendExecuteCallbacks {
+ public:
+  ArmBackendExecuteCallbacks() {
+    ArmBackend_execute_begin();
+  }
+  ~ArmBackendExecuteCallbacks() {
+    ArmBackend_execute_end();
+  }
+};
+
+class ArmBackend final : public ::executorch::runtime::BackendInterface {
  public:
   ArmBackend() {}
 
@@ -50,7 +65,6 @@ class ArmBackend final : public PyTorchBackendInterface {
 
     char* data = (char*)processed->data();
     size_t size = processed->size();
-    char* foot = data + size - sizeof(VelaBinBlock);
 
     // Verify format of vela_bin
     if (vela_bin_validate(data, size) == false) {
@@ -63,6 +77,7 @@ class ArmBackend final : public PyTorchBackendInterface {
         ET_ALLOCATE_INSTANCE_OR_RETURN_ERROR(allocator, ExecutionHandle);
     handle->processed = processed;
 
+    handle->permuted_io_flag = false;
     for (auto& compile_spec : compile_specs) {
       if (0 == std::strcmp(compile_spec.key, "permute_memory_format") &&
           0 == std::memcmp(compile_spec.value.buffer, "nhwc", 4)) {
@@ -82,6 +97,7 @@ class ArmBackend final : public PyTorchBackendInterface {
     ExecutionHandle* execution_handle = (ExecutionHandle*)input_handle;
     VelaHandles handles;
 
+    ArmBackendExecuteCallbacks ArmBackend_execute_callbacks;
     // Command stream - we know at this point it's aligned
     char* data = (char*)execution_handle->processed->data();
     ET_LOG(Info, "ArmBackend::execute %p", data);
@@ -95,7 +111,7 @@ class ArmBackend final : public PyTorchBackendInterface {
 
     ET_LOG(
         Debug,
-        "ArmBackend::execute: Running program data:\n  cmd %p %d\n  weight %p %d\n  scratch %p %d\n",
+        "ArmBackend::execute: Running program data:\n  cmd %p %zu\n  weight %p %zu\n  scratch %p %zu\n",
         handles.cmd_data,
         handles.cmd_data_size,
         handles.weight_data,
@@ -108,7 +124,6 @@ class ArmBackend final : public PyTorchBackendInterface {
     //                     or DRAM output for compatible data layouts.
     for (int i = 0; i < handles.inputs->count; i++) {
       auto tensor_in = args[i]->toTensor();
-      VelaIO* scratch_in = &handles.inputs->io[i];
       char* scratch_addr = handles.scratch_data + handles.inputs->io[i].offset;
 
       // We accept:
@@ -124,9 +139,9 @@ class ArmBackend final : public PyTorchBackendInterface {
       if (!supported) {
         ET_LOG(
             Error,
-            "Input %d expected Integer (4 byte) or Char (1 byte) integer inputs, got ScalarType id %d",
+            "Input %d expected Integer (4 byte) or Char (1 byte) integer inputs, got ScalarType id %s",
             i,
-            tensor_in.scalar_type());
+            toString(tensor_in.scalar_type()));
         return Error::InvalidProgram;
       }
 
@@ -148,8 +163,9 @@ class ArmBackend final : public PyTorchBackendInterface {
       if (both_char and permuted_input_shape) {
         // permuted byte copy CHW to HWC
         permute_CHW_to_HWC(
-            scratch_addr,
             tensor_in.mutable_data_ptr<char>(),
+            scratch_addr,
+            tensor_in.size(1),
             tensor_in.size(2),
             tensor_in.size(3));
       } else if (both_char or both_int) {
@@ -165,8 +181,10 @@ class ArmBackend final : public PyTorchBackendInterface {
     }
 
     // Allocate driver handle and synchronously invoke driver
-    ethosu_driver* drv = ethosu_reserve_driver();
-    if (drv == NULL) {
+    auto driver =
+        std::unique_ptr<ethosu_driver, decltype(&ethosu_release_driver)>(
+            ethosu_reserve_driver(), ethosu_release_driver);
+    if (driver == NULL) {
       ET_LOG(Error, "ArmBackend::execute: ethosu_reserve_driver failed");
       return Error::InvalidState;
     }
@@ -179,7 +197,7 @@ class ArmBackend final : public PyTorchBackendInterface {
     size_t bases_size[2] = {
         handles.weight_data_size, handles.scratch_data_size};
     int result = ethosu_invoke_v3(
-        drv,
+        driver.get(),
         (void*)handles.cmd_data,
         handles.cmd_data_size,
         bases,
@@ -202,17 +220,34 @@ class ArmBackend final : public PyTorchBackendInterface {
       // Process input EValue into scratch
       // Outputs are in the index immediately after inputs
       auto tensor_out = args[handles.inputs->count + i]->toTensor();
-      for (int j = 0; j < tensor_out.numel(); j++) {
-        if (tensor_out.scalar_type() == ScalarType::Char) {
-          char* output_address = (char*)output_addr;
-          tensor_out.mutable_data_ptr<char>()[j] = output_address[j];
-        } else {
-          int* output_address = (int*)output_addr;
-          tensor_out.mutable_data_ptr<int>()[j] = output_address[j];
+      bool permuted_output_shape;
+      ET_CHECK_OK_OR_RETURN_ERROR(check_requires_permute(
+          i,
+          tensor_out,
+          &handles.outputs->io[i],
+          execution_handle->permuted_io_flag,
+          &permuted_output_shape));
+      if (tensor_out.scalar_type() == ScalarType::Char and
+          permuted_output_shape) {
+        char* output_address = (char*)output_addr;
+        permute_HWC_to_CHW(
+            output_address,
+            tensor_out.mutable_data_ptr<char>(),
+            tensor_out.size(1),
+            tensor_out.size(2),
+            tensor_out.size(3));
+      } else {
+        for (int j = 0; j < tensor_out.numel(); j++) {
+          if (tensor_out.scalar_type() == ScalarType::Char) {
+            char* output_address = (char*)output_addr;
+            tensor_out.mutable_data_ptr<char>()[j] = output_address[j];
+          } else {
+            int* output_address = (int*)output_addr;
+            tensor_out.mutable_data_ptr<int>()[j] = output_address[j];
+          }
         }
       }
     }
-
     return Error::Ok;
   }
 
@@ -223,51 +258,71 @@ class ArmBackend final : public PyTorchBackendInterface {
  private:
   Error check_requires_permute(
       int index,
-      const exec_aten::Tensor tensor_in,
-      VelaIO* input,
+      const exec_aten::Tensor tensor,
+      VelaIO* io,
       bool permuted_io_flag,
       bool* is_permuted) const {
-    bool permuted_input_shape = false;
-    if (tensor_in.dim() == 4) {
+    bool permuted_shape = false;
+    if (tensor.dim() == 4) {
       // special case for NHWC workaround in AOT; as the compilation has
       // permuted to channel last in an undetectable way, we assume here
-      // that the application has similarly permuted any input tensors.
-      permuted_input_shape = tensor_in.size(0) == input->shape[0] &&
-          tensor_in.size(1) == input->shape[3] &&
-          tensor_in.size(2) == input->shape[1] &&
-          tensor_in.size(3) == input->shape[2];
-      if (permuted_input_shape) {
-        ET_LOG(Info, "Tensor input %d will be permuted", index);
+      // that the application has similarly permuted any input/output tensors.
+      permuted_shape = tensor.size(0) == io->shape[0] &&
+          tensor.size(1) == io->shape[3] && tensor.size(2) == io->shape[1] &&
+          tensor.size(3) == io->shape[2];
+      if (permuted_shape) {
+        ET_LOG(Info, "Tensor input/output %d will be permuted", index);
       }
-      if (permuted_io_flag != permuted_input_shape) {
-        ET_LOG(Error, "Permute compile flag and permuted input don't agree");
+      if (permuted_io_flag != permuted_shape) {
+        ET_LOG(
+            Error,
+            "Permute compile flag and permuted input/output don't agree");
         return Error::InvalidProgram;
       }
     }
-    if (!permuted_input_shape) {
-      // Error check matching shapes in the general case
-      for (int i = 0; i < tensor_in.dim(); i++) {
-        if (tensor_in.size(i) != input->shape[i]) {
-          ET_LOG(Error, "Tensor input %d mismatched shape", index);
-          ET_LOG(
-              Error,
-              "dimension %d mismatch, %d != %d",
-              index,
-              tensor_in.size(i),
-              input->shape[i]);
-          return Error::InvalidProgram;
-        }
+    if (!permuted_shape) {
+      // Check the number of elements in each tensor match
+      int tensor_count = 1;
+      int io_count = 1;
+
+      for (int i = 0; i < tensor.dim(); i++) {
+        tensor_count = tensor_count * tensor.size(i);
+      }
+
+      // The VelaIO type has a shape of fixed size 4
+      for (int i = 0; i < 4; i++) {
+        io_count = io_count * io->shape[i];
+      }
+
+      if (tensor_count != io_count) {
+        ET_LOG(Error, "Input tensor sizes do not match");
+        ET_LOG(
+            Error,
+            "Program expects %d elements but got %d",
+            io_count,
+            tensor_count);
+        return Error::InvalidProgram;
       }
     }
-    *is_permuted = permuted_input_shape;
+    *is_permuted = permuted_shape;
     return Error::Ok;
   }
 
-  void permute_CHW_to_HWC(char* input, char* output, int H, int W) const {
+  void permute_CHW_to_HWC(char* input, char* output, int C, int H, int W)
+      const {
+    for (int i = 0; i != H * W; ++i) {
+      for (int j = 0; j < C; ++j) {
+        output[i * C + j] = input[i + j * W * H];
+      }
+    }
+  }
+
+  void permute_HWC_to_CHW(char* input, char* output, int C, int H, int W)
+      const {
     for (int i = 0; i != H * W; ++i) {
-      output[i * 3 + 0] = input[i + 0 * W * H];
-      output[i * 3 + 1] = input[i + 1 * W * H];
-      output[i * 3 + 2] = input[i + 2 * W * H];
+      for (int j = 0; j < C; ++j) {
+        output[i + j * W * H] = input[i * C + j];
+      }
     }
   }
 };
diff --git a/backends/arm/runtime/TARGETS b/backends/arm/runtime/TARGETS
new file mode 100644
index 0000000000..67f2bab681
--- /dev/null
+++ b/backends/arm/runtime/TARGETS
@@ -0,0 +1,5 @@
+load("targets.bzl", "define_common_targets")
+
+oncall("odai_jarvis")
+
+define_common_targets()
diff --git a/backends/arm/runtime/VelaBinStream.cpp b/backends/arm/runtime/VelaBinStream.cpp
index f9f8b0aca1..e2badbbd9f 100644
--- a/backends/arm/runtime/VelaBinStream.cpp
+++ b/backends/arm/runtime/VelaBinStream.cpp
@@ -12,9 +12,8 @@
 
 #include <cstring>
 
-#include <executorch/runtime/core/error.h>
-
-#include <executorch/backends/arm/runtime/VelaBinStream.h>
+#include "executorch/backends/arm/runtime/VelaBinStream.h"
+#include "executorch/runtime/core/error.h"
 
 // get next mul of 16 ptr, return n if already aligned
 static uintptr_t next_mul_16(uintptr_t n) {
@@ -25,17 +24,26 @@ bool vela_bin_validate(const char* data, int size) {
   const char* foot = data + size - sizeof(VelaBinBlock);
 
   // Check 16 byte alignment
-  if ((uintptr_t)data != next_mul_16((uintptr_t)data))
-    return false;
-  if ((uintptr_t)foot != next_mul_16((uintptr_t)foot))
-    return false;
+  bool valid = true;
+  if ((uintptr_t)data != next_mul_16((uintptr_t)data)) {
+    ET_LOG(Error, "Vela bin ptr not aligned to 16 bytes: %p", (void*)data);
+    valid = false;
+  }
+  if ((uintptr_t)foot != next_mul_16((uintptr_t)foot)) {
+    ET_LOG(Error, "End of vela bin not aligned to 16 bytes: %p", (void*)foot);
+    valid = false;
+  }
   // Check header and footer blocks are the right format
-  if (strncmp(data, "vela_bin_stream", strlen("vela_bin_stream")) != 0)
-    return false;
-  if (strncmp(foot, "vela_end_stream", strlen("vela_end_stream")) != 0)
-    return false;
+  if (strncmp(data, "vela_bin_stream", strlen("vela_bin_stream")) != 0) {
+    ET_LOG(Error, "Incorrect header in vela_bin_stream");
+    valid = false;
+  }
+  if (strncmp(foot, "vela_end_stream", strlen("vela_end_stream")) != 0) {
+    ET_LOG(Error, "Incorrect footer in vela_bin_stream");
+    valid = false;
+  }
 
-  return true;
+  return valid;
 }
 
 bool vela_bin_read(const char* data, VelaHandles* handles, int size) {
diff --git a/backends/arm/runtime/VelaBinStream.h b/backends/arm/runtime/VelaBinStream.h
index 51e4cd3452..e946078f5a 100644
--- a/backends/arm/runtime/VelaBinStream.h
+++ b/backends/arm/runtime/VelaBinStream.h
@@ -15,6 +15,7 @@
 
 #pragma once
 
+#include <cstddef>
 #include <cstdint>
 
 // Standard block name size
diff --git a/backends/arm/runtime/targets.bzl b/backends/arm/runtime/targets.bzl
new file mode 100644
index 0000000000..da401daf0b
--- /dev/null
+++ b/backends/arm/runtime/targets.bzl
@@ -0,0 +1,31 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    runtime.cxx_library(
+        name = "vela_bin_stream",
+        srcs = ["VelaBinStream.cpp"],
+        exported_headers = ["VelaBinStream.h"],
+        visibility = ["@EXECUTORCH_CLIENTS"],
+        deps = [
+            "//executorch/runtime/core:core",
+        ],
+    )
+    runtime.cxx_library(
+        name = "arm_backend",
+        srcs = ["ArmBackendEthosU.cpp"],
+        headers = [],
+        compatible_with = ["ovr_config//cpu:arm32-embedded"],
+        # arm_executor_runner.cpp needs to compile with executor as whole
+        # @lint-ignore BUCKLINT: Avoid `link_whole=True` (https://fburl.com/avoid-link-whole)
+        link_whole = True,
+        supports_python_dlopen = True,
+        # Constructor needed for backend registration.
+        compiler_flags = ["-Wno-global-constructors"],
+        visibility = ["@EXECUTORCH_CLIENTS"],
+        deps = [
+            "//executorch/runtime/backend:interface",
+            ":vela_bin_stream",
+            "//executorch/runtime/core:core",
+            "fbsource//third-party/ethos-u-core-driver:core_driver",
+        ],
+    )
diff --git a/backends/arm/test/common.py b/backends/arm/test/common.py
index f85fd1f2da..0d50f1882d 100644
--- a/backends/arm/test/common.py
+++ b/backends/arm/test/common.py
@@ -14,6 +14,7 @@
 import torch
 
 from executorch.backends.arm.arm_backend import ArmCompileSpecBuilder
+from executorch.exir.backend.compile_spec_schema import CompileSpec
 
 _enabled_options: list[str] = []
 
@@ -85,7 +86,9 @@ def is_option_enabled(option: str, fail_if_not_enabled: bool = False) -> bool:
             return False
 
 
-def get_tosa_compile_spec(permute_memory_to_nhwc=True, custom_path=None):
+def get_tosa_compile_spec(
+    permute_memory_to_nhwc=True, custom_path=None
+) -> list[CompileSpec]:
     """
     Default compile spec for TOSA tests.
     """
@@ -112,8 +115,8 @@ def get_tosa_compile_spec_unbuilt(
 
 
 def get_u55_compile_spec(
-    permute_memory_to_nhwc=False, quantize_io=False, custom_path=None
-):
+    permute_memory_to_nhwc=True, quantize_io=False, custom_path=None
+) -> list[CompileSpec]:
     """
     Default compile spec for Ethos-U55 tests.
     """
@@ -122,10 +125,21 @@ def get_u55_compile_spec(
     ).build()
 
 
+def get_u85_compile_spec(
+    permute_memory_to_nhwc=True, quantize_io=False, custom_path=None
+) -> list[CompileSpec]:
+    """
+    Default compile spec for Ethos-U85 tests.
+    """
+    return get_u85_compile_spec_unbuilt(
+        permute_memory_to_nhwc, quantize_io=quantize_io, custom_path=custom_path
+    ).build()
+
+
 def get_u55_compile_spec_unbuilt(
-    permute_memory_to_nhwc=False, quantize_io=False, custom_path=None
+    permute_memory_to_nhwc=True, quantize_io=False, custom_path=None
 ) -> ArmCompileSpecBuilder:
-    """Get the ArmCompileSpecBuilder for the default TOSA tests, to modify
+    """Get the ArmCompileSpecBuilder for the Ethos-U55 tests, to modify
     the compile spec before calling .build() to finalize it.
     """
     artifact_path = custom_path or tempfile.mkdtemp(prefix="arm_u55_")
@@ -137,7 +151,29 @@ def get_u55_compile_spec_unbuilt(
             "ethos-u55-128",
             system_config="Ethos_U55_High_End_Embedded",
             memory_mode="Shared_Sram",
-            extra_flags=None,
+            extra_flags="--debug-force-regor --output-format=raw",
+        )
+        .set_quantize_io(is_option_enabled("quantize_io") or quantize_io)
+        .set_permute_memory_format(permute_memory_to_nhwc)
+        .dump_intermediate_artifacts_to(artifact_path)
+    )
+    return compile_spec
+
+
+def get_u85_compile_spec_unbuilt(
+    permute_memory_to_nhwc=True, quantize_io=False, custom_path=None
+) -> list[CompileSpec]:
+    """Get the ArmCompileSpecBuilder for the Ethos-U85 tests, to modify
+    the compile spec before calling .build() to finalize it.
+    """
+    artifact_path = custom_path or tempfile.mkdtemp(prefix="arm_u85_")
+    compile_spec = (
+        ArmCompileSpecBuilder()
+        .ethosu_compile_spec(
+            "ethos-u85-128",
+            system_config="Ethos_U85_SYS_DRAM_Mid",
+            memory_mode="Shared_Sram",
+            extra_flags="--output-format=raw",
         )
         .set_quantize_io(is_option_enabled("quantize_io") or quantize_io)
         .set_permute_memory_format(permute_memory_to_nhwc)
diff --git a/backends/arm/test/misc/test_lifted_tensor.py b/backends/arm/test/misc/test_lifted_tensor.py
new file mode 100644
index 0000000000..90aa7e2950
--- /dev/null
+++ b/backends/arm/test/misc/test_lifted_tensor.py
@@ -0,0 +1,42 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import unittest
+
+import torch
+from executorch.backends.arm.test import common
+from executorch.backends.arm.test.tester.arm_tester import ArmTester
+
+
+class LiftedTensor(torch.nn.Module):
+
+    def __init__(self):
+        super().__init__()
+        self.lifted_tensor = torch.Tensor([[1, 2], [3, 4]])
+
+    def forward(self, x: torch.Tensor, length) -> torch.Tensor:
+        sliced = self.lifted_tensor[:, :length]
+        return sliced + x
+
+
+class TestLiftedTensor(unittest.TestCase):
+    """Tests the ArmPartitioner with a placeholder of type lifted tensor."""
+
+    def test_partition_lifted_tensor(self):
+        tester = (
+            ArmTester(
+                LiftedTensor(),
+                example_inputs=(torch.ones(2, 2), 2),
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .export()
+            .to_edge()
+            .dump_artifact()
+        )
+        signature = tester.get_artifact().exported_program().graph_signature
+        assert len(signature.lifted_tensor_constants) > 0
+        tester.partition()
+        tester.to_executorch()
+        tester.run_method_and_compare_outputs((torch.ones(2, 2), 2))
diff --git a/backends/arm/test/models/test_mobilenet_v2_arm.py b/backends/arm/test/models/test_mobilenet_v2_arm.py
index 248153a518..bb2c0d103f 100644
--- a/backends/arm/test/models/test_mobilenet_v2_arm.py
+++ b/backends/arm/test/models/test_mobilenet_v2_arm.py
@@ -84,7 +84,7 @@ def test_mv2_tosa_BI(self):
         )
 
     def test_mv2_u55_BI(self):
-        (
+        tester = (
             ArmTester(
                 self.mv2,
                 example_inputs=self.model_inputs,
@@ -96,4 +96,9 @@ def test_mv2_u55_BI(self):
             .check(list(self.operators_after_quantization))
             .partition()
             .to_executorch()
+            .serialize()
         )
+        if common.is_option_enabled("corstone300"):
+            tester.run_method_and_compare_outputs(
+                atol=1.0, qtol=1, inputs=self.model_inputs
+            )
diff --git a/backends/arm/test/ops/test_add.py b/backends/arm/test/ops/test_add.py
index 3bd2b2605c..63023327f7 100644
--- a/backends/arm/test/ops/test_add.py
+++ b/backends/arm/test/ops/test_add.py
@@ -37,9 +37,9 @@ class Add2(torch.nn.Module):
                 torch.FloatTensor([1, 2, 3, 5, 7]),
                 (torch.FloatTensor([2, 1, 2, 1, 10])),
             ),
-            (torch.ones(1, 1, 4, 4), torch.ones(1, 1, 4, 4)),
+            (torch.ones(1, 10, 4, 6), torch.ones(1, 10, 4, 6)),
             (torch.randn(1, 1, 4, 4), torch.ones(1, 1, 4, 1)),
-            (torch.randn(1, 1, 4, 4), torch.randn(1, 1, 4, 1)),
+            (torch.randn(1, 3, 4, 4), torch.randn(1, 3, 4, 4)),
             (10000 * torch.randn(1, 1, 4, 4), torch.randn(1, 1, 4, 1)),
         ]
 
@@ -101,7 +101,7 @@ def _test_add_u55_BI_pipeline(
             ArmTester(
                 module,
                 example_inputs=test_data,
-                compile_spec=common.get_u55_compile_spec(),
+                compile_spec=common.get_u55_compile_spec(permute_memory_to_nhwc=True),
             )
             .quantize()
             .export()
diff --git a/backends/arm/test/ops/test_bmm.py b/backends/arm/test/ops/test_bmm.py
new file mode 100644
index 0000000000..30f4526124
--- /dev/null
+++ b/backends/arm/test/ops/test_bmm.py
@@ -0,0 +1,135 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import unittest
+
+from typing import Tuple
+
+import torch
+from executorch.backends.arm.test import common
+from executorch.backends.arm.test.tester.arm_tester import ArmTester
+from parameterized import parameterized
+
+torch.manual_seed(1)
+
+
+class TestBMM(unittest.TestCase):
+    """Tests Batch MatMul"""
+
+    class BMM(torch.nn.Module):
+        test_parameters = [
+            (torch.rand(5, 3, 5), torch.rand(5, 5, 2)),
+            (torch.rand(2, 1, 1), torch.rand(2, 1, 1)),
+            (torch.ones(1, 55, 3), torch.ones(1, 3, 44)),
+            (10000 * torch.randn(10, 1, 10), torch.randn(10, 10, 5)),
+            (-10 * torch.randn(2, 32, 64), 5 + 5 * torch.randn(2, 64, 32)),
+        ]
+
+        def forward(self, x, y):
+            return torch.bmm(x, y)
+
+    class BMMSingleInput(torch.nn.Module):
+        test_parameters = [
+            (torch.rand(20, 3, 3),),
+            (torch.ones(2, 128, 128),),
+            (10000 * torch.randn(4, 25, 25),),
+            (5 + 5 * torch.randn(3, 64, 64),),
+        ]
+
+        def forward(self, x):
+            return torch.bmm(x, x)
+
+    def _test_bmm_tosa_MI_pipeline(
+        self, module: torch.nn.Module, test_data: Tuple[torch.Tensor, ...]
+    ):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .export()
+            .check_count({"torch.ops.aten.bmm.default": 1})
+            .check_not(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_not(["executorch_exir_dialects_edge__ops_aten_bmm_default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data)
+        )
+
+    def _test_bmm_tosa_BI_pipeline(
+        self, module: torch.nn.Module, test_data: Tuple[torch.Tensor, ...]
+    ):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .quantize()
+            .export()
+            .check_count({"torch.ops.aten.bmm.default": 1})
+            .check(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_not(["executorch_exir_dialects_edge__ops_aten_bmm_default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data)
+        )
+
+    def _test_bmm_u55_BI_pipeline(
+        self, module: torch.nn.Module, test_data: Tuple[torch.Tensor, ...]
+    ):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_u55_compile_spec(),
+            )
+            .quantize()
+            .export()
+            .check_count({"torch.ops.aten.bmm.default": 1})
+            .check(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+        )
+
+    @parameterized.expand(BMM.test_parameters)
+    def test_bmm_tosa_MI(self, operand1: torch.Tensor, operand2: torch.Tensor):
+        test_data = (operand1, operand2)
+        self._test_bmm_tosa_MI_pipeline(self.BMM(), test_data)
+
+    @parameterized.expand(BMMSingleInput.test_parameters)
+    def test_bmm_single_input_tosa_MI(self, operand1: torch.Tensor):
+        test_data = (operand1,)
+        self._test_bmm_tosa_MI_pipeline(self.BMMSingleInput(), test_data)
+
+    @parameterized.expand(BMM.test_parameters)
+    def test_bmm_tosa_BI(self, operand1: torch.Tensor, operand2: torch.Tensor):
+        test_data = (operand1, operand2)
+        self._test_bmm_tosa_BI_pipeline(self.BMM(), test_data)
+
+    @parameterized.expand(BMMSingleInput.test_parameters)
+    def test_bmm_single_input_tosa_BI(self, operand1: torch.Tensor):
+        test_data = (operand1,)
+        self._test_bmm_tosa_BI_pipeline(self.BMMSingleInput(), test_data)
+
+    @parameterized.expand(BMM.test_parameters)
+    def test_bmm_u55_BI(self, operand1: torch.Tensor, operand2: torch.Tensor):
+        test_data = (operand1, operand2)
+        self._test_bmm_tosa_BI_pipeline(self.BMM(), test_data)
+
+    # Expected to fail with error: Warning, unsupported fusing of TOSA Rescale previous operator is of type: Memcpy
+    @parameterized.expand(BMMSingleInput.test_parameters)
+    @unittest.expectedFailure
+    def test_bmm_single_input_u55_BI(self, operand1: torch.Tensor):
+        test_data = (operand1,)
+        self._test_bmm_u55_BI_pipeline(self.BMMSingleInput(), test_data)
diff --git a/backends/arm/test/ops/test_cat.py b/backends/arm/test/ops/test_cat.py
new file mode 100644
index 0000000000..a40ae43b67
--- /dev/null
+++ b/backends/arm/test/ops/test_cat.py
@@ -0,0 +1,133 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright 2024 Arm Limited and/or its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import unittest
+
+from typing import Tuple
+
+import torch
+from executorch.backends.arm.test import common
+
+from executorch.backends.arm.test.tester.arm_tester import ArmTester
+from parameterized import parameterized
+
+
+class TestCat(unittest.TestCase):
+
+    class Cat(torch.nn.Module):
+        test_parameters = [
+            ((torch.ones(1), torch.ones(1)), 0),
+            ((torch.ones(1, 2), torch.randn(1, 5), torch.randn(1, 1)), 1),
+            (
+                (
+                    torch.ones(1, 2, 5),
+                    torch.randn(1, 2, 4),
+                    torch.randn(1, 2, 2),
+                    torch.randn(1, 2, 1),
+                ),
+                -1,
+            ),
+            ((torch.randn(2, 2, 4, 4), torch.randn(2, 2, 4, 1)), 3),
+            (
+                (
+                    10000 * torch.randn(2, 3, 1, 4),
+                    torch.randn(2, 7, 1, 4),
+                    torch.randn(2, 1, 1, 4),
+                ),
+                -3,
+            ),
+        ]
+
+        def __init__(self):
+            super().__init__()
+
+        def forward(self, tensors: tuple[torch.Tensor, ...], dim: int) -> torch.Tensor:
+            return torch.cat(tensors, dim=dim)
+
+    def _test_cat_tosa_MI_pipeline(
+        self, module: torch.nn.Module, test_data: Tuple[tuple[torch.Tensor, ...], int]
+    ):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .export()
+            .check_count({"torch.ops.aten.cat.default": 1})
+            .check_not(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_not(["executorch_exir_dialects_edge__ops_aten_cat_default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data)
+        )
+
+    def _test_cat_tosa_BI_pipeline(
+        self, module: torch.nn.Module, test_data: Tuple[tuple[torch.Tensor, ...], int]
+    ):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .quantize()
+            .export()
+            .check_count({"torch.ops.aten.cat.default": 1})
+            .check(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_not(["executorch_exir_dialects_edge__ops_aten_cat_default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data, qtol=1)
+        )
+
+    def _test_cat_u55_BI_pipeline(
+        self, module: torch.nn.Module, test_data: Tuple[tuple[torch.Tensor, ...], int]
+    ):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_u55_compile_spec(),
+            )
+            .quantize()
+            .export()
+            .check_count({"torch.ops.aten.cat.default": 1})
+            .check(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_not(["executorch_exir_dialects_edge__ops_aten_cat_default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+        )
+
+    @parameterized.expand(Cat.test_parameters)
+    def test_cat_tosa_MI(self, operands: tuple[torch.Tensor, ...], dim: int):
+        test_data = (operands, dim)
+        self._test_cat_tosa_MI_pipeline(self.Cat(), test_data)
+
+    def test_cat_4d_tosa_MI(self):
+        square = torch.ones((2, 2, 2, 2))
+        for dim in range(-3, 3):
+            test_data = ((square, square), dim)
+            self._test_cat_tosa_MI_pipeline(self.Cat(), test_data)
+
+    @parameterized.expand(Cat.test_parameters)
+    def test_cat_tosa_BI(self, operands: tuple[torch.Tensor, ...], dim: int):
+        test_data = (operands, dim)
+        self._test_cat_tosa_BI_pipeline(self.Cat(), test_data)
+
+    # TODO: Remove @unittest.expectedFailure when this issue is fixed in Regor
+    @parameterized.expand(Cat.test_parameters)
+    @unittest.expectedFailure
+    def test_cat_u55_BI(self, operands: tuple[torch.Tensor, ...], dim: int):
+        test_data = (operands, dim)
+        self._test_cat_u55_BI_pipeline(self.Cat(), test_data)
diff --git a/backends/arm/test/ops/test_conv.py b/backends/arm/test/ops/test_conv.py
index 9ebfe77da2..8274879953 100644
--- a/backends/arm/test/ops/test_conv.py
+++ b/backends/arm/test/ops/test_conv.py
@@ -4,7 +4,6 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
-import logging
 import unittest
 
 from typing import List, Tuple, Union
@@ -15,9 +14,6 @@
 from executorch.backends.arm.test.tester.arm_tester import ArmTester
 from parameterized import parameterized
 
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.INFO)
-
 
 class Conv2d(torch.nn.Module):
     """
@@ -159,14 +155,14 @@ def forward(self, x):
     batches=1,
 )
 
-conv2d_2x2_1x1x14x14_st2 = Conv2d(
+conv2d_2x2_1x1x14x13_st2 = Conv2d(
     in_channels=1,
     out_channels=1,
     kernel_size=(2, 2),
     stride=2,
     padding=0,
     width=14,
-    height=14,
+    height=13,
     batches=1,
 )
 
@@ -192,6 +188,18 @@ def forward(self, x):
     batches=1,
 )
 
+conv2d_5x5_1x3x14x15_st3_pd1 = Conv2d(
+    in_channels=3,
+    out_channels=16,
+    kernel_size=(5, 5),
+    stride=3,
+    padding=1,
+    width=14,
+    height=15,
+    batches=1,
+)
+
+
 two_conv2d_nobias = Conv2d(
     nbr_conv=2,
     width=256,
@@ -225,7 +233,8 @@ def forward(self, x):
     ("3x3_1x3x256x256_st1", conv2d_3x3_1x3x256x256_st1),
     ("3x3_1x3x12x12_st2_pd1", conv2d_3x3_1x3x12x12_st2_pd1),
     ("1x1_1x2x128x128_st1", conv2d_1x1_1x2x128x128_st1),
-    ("2x2_1x1x14x14_st2", conv2d_2x2_1x1x14x14_st2),
+    ("2x2_1x1x14x13_st2_needs_adjust_pass", conv2d_2x2_1x1x14x13_st2),
+    ("conv2d_5x5_1x3x14x15_st3_pd1_needs_adjust_pass", conv2d_5x5_1x3x14x15_st3_pd1),
     ("5x5_3x2x128x128_st1", conv2d_5x5_3x2x128x128_st1),
     ("3x3_1x3x224x224_st2_pd1", conv2d_3x3_1x3x224x224_st2_pd1),
     ("two_conv2d_nobias", two_conv2d_nobias),
@@ -240,7 +249,10 @@ def forward(self, x):
 testsuite_u55.remove(("5x5_3x2x128x128_st1", conv2d_5x5_3x2x128x128_st1))
 
 # Fails when enabling CompileSpec.set_quantize_io(True). MLETORCH-191.
-testsuite_u55.remove(("2x2_1x1x14x14_st2", conv2d_2x2_1x1x14x14_st2))
+testsuite_u55.remove(("2x2_1x1x14x13_st2_needs_adjust_pass", conv2d_2x2_1x1x14x13_st2))
+testsuite_u55.remove(
+    ("conv2d_5x5_1x3x14x15_st3_pd1_needs_adjust_pass", conv2d_5x5_1x3x14x15_st3_pd1)
+)
 
 
 class TestConv2D(unittest.TestCase):
diff --git a/backends/arm/test/ops/test_conv_combos.py b/backends/arm/test/ops/test_conv_combos.py
index 88006df1a0..31051ef8f7 100644
--- a/backends/arm/test/ops/test_conv_combos.py
+++ b/backends/arm/test/ops/test_conv_combos.py
@@ -102,7 +102,7 @@ def forward(self, x):
         return self.adaptive_avg_pool2d(x)
 
 
-class ComboConvBatchnormRelu(torch.nn.Module):
+class ComboConvBatchnormRelu6(torch.nn.Module):
     edge_op_list = [
         "executorch_exir_dialects_edge__ops_aten_convolution_default",
         "executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default",
@@ -235,16 +235,16 @@ def test_conv_meandim_u55_BI(self):
     ##############################
     ## Conv + batch norm + relu ##
     ##############################
-    def test_conv_batchnorm_relu_tosa_MI(self):
-        model = ComboConvBatchnormRelu()
+    def test_conv_batchnorm_relu6_tosa_MI(self):
+        model = ComboConvBatchnormRelu6()
         self._test_conv_combo_tosa_MI_pipeline(model, model.get_inputs())
 
-    def test_conv_batchnorm_relu_tosa_BI(self):
-        model = ComboConvBatchnormRelu()
+    def test_conv_batchnorm_relu6_tosa_BI(self):
+        model = ComboConvBatchnormRelu6()
         self._test_conv_combo_tosa_BI_pipeline(model, model.get_inputs())
 
-    def test_conv_batchnorm_relu_u55_BI(self):
-        model = ComboConvBatchnormRelu()
+    def test_conv_batchnorm_relu6_u55_BI(self):
+        model = ComboConvBatchnormRelu6()
         self._test_conv_combo_u55_BI_pipeline(model, model.get_inputs())
 
     ##################
diff --git a/backends/arm/test/ops/test_depthwise_conv.py b/backends/arm/test/ops/test_depthwise_conv.py
index 9b3f79e6a1..5545a5ce4a 100644
--- a/backends/arm/test/ops/test_depthwise_conv.py
+++ b/backends/arm/test/ops/test_depthwise_conv.py
@@ -130,6 +130,11 @@
 # Fails when enabling CompileSpec.set_quantize_io(True). MLETORCH-191.
 testsuite_u55.remove(("3x3_1x3x256x256_gp3_st1", dw_conv2d_3x3_1x3x256x256_gp3_st1))
 
+# Add failing test (set_quantize_io=True) temporarily to investigate
+testsuite_u55.append(
+    ("3x3_1x3x256x256_gp3_st1", dw_conv2d_3x3_1x3x256x256_gp3_st1, True)
+)
+
 
 class TestDepthwiseConv2D(unittest.TestCase):
     """Tests Conv2D where groups == in_channels and out_channels = K * in_channels. This
@@ -173,13 +178,18 @@ def _test_dw_conv2d_tosa_BI_pipeline(
         )
 
     def _test_dw_conv2d_u55_BI_pipeline(
-        self, module: torch.nn.Module, test_data: Tuple[torch.Tensor]
+        self,
+        module: torch.nn.Module,
+        test_data: Tuple[torch.Tensor],
+        set_quantize_io: bool = False,
     ):
         (
             ArmTester(
                 module,
                 example_inputs=test_data,
-                compile_spec=common.get_u55_compile_spec(permute_memory_to_nhwc=True),
+                compile_spec=common.get_u55_compile_spec(
+                    permute_memory_to_nhwc=True, quantize_io=set_quantize_io
+                ),
             )
             .quantize()
             .export()
@@ -202,5 +212,7 @@ def test_dw_conv2d_tosa_BI(self, test_name, model):
 
     @parameterized.expand(testsuite_u55, skip_on_empty=True)
     @unittest.expectedFailure
-    def test_dw_conv2d_u55_BI(self, test_name, model):
-        self._test_dw_conv2d_u55_BI_pipeline(model, model.get_inputs())
+    def test_dw_conv2d_u55_BI(self, test_name, model, set_quantize_io=False):
+        self._test_dw_conv2d_u55_BI_pipeline(
+            model, model.get_inputs(), set_quantize_io=set_quantize_io
+        )
diff --git a/backends/arm/test/ops/test_exp.py b/backends/arm/test/ops/test_exp.py
new file mode 100644
index 0000000000..4f4935d482
--- /dev/null
+++ b/backends/arm/test/ops/test_exp.py
@@ -0,0 +1,108 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright 2024 Arm Limited and/or its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import unittest
+
+from typing import Tuple
+
+import torch
+from executorch.backends.arm.test import common
+from executorch.backends.arm.test.tester.arm_tester import ArmTester
+from parameterized import parameterized
+
+test_data_suite = [
+    # (test_name, test_data)
+    ("zeros", torch.zeros(1, 10, 10, 10)),
+    ("ones", torch.ones(10, 10, 10)),
+    ("rand", torch.rand(10, 10) - 0.5),
+    ("randn_pos", torch.randn(10) + 10),
+    ("randn_neg", torch.randn(10) - 10),
+    ("ramp", torch.arange(-16, 16, 0.2)),
+]
+
+
+class TestExp(unittest.TestCase):
+    """Tests lowering of aten.exp"""
+
+    class Exp(torch.nn.Module):
+        def forward(self, x: torch.Tensor) -> torch.Tensor:
+            return torch.exp(x)
+
+    def _test_exp_tosa_MI_pipeline(
+        self, module: torch.nn.Module, test_data: Tuple[torch.tensor]
+    ):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .export()
+            .check(["torch.ops.aten.exp.default"])
+            .check_not(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_not(["executorch_exir_dialects_edge__ops_aten_exp_default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data)
+        )
+
+    def _test_exp_tosa_BI_pipeline(self, module: torch.nn.Module, test_data: Tuple):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .quantize()
+            .export()
+            .check(["torch.ops.aten.exp.default"])
+            .check(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_not(["executorch_exir_dialects_edge__ops_aten_exp_default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data)
+        )
+
+    def _test_exp_tosa_u55_BI_pipeline(
+        self, module: torch.nn.Module, test_data: Tuple[torch.tensor]
+    ):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_u55_compile_spec(),
+            )
+            .quantize()
+            .export()
+            .check_count({"torch.ops.aten.exp.default": 1})
+            .check(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_not(["executorch_exir_dialects_edge__ops_aten_exp_default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+        )
+
+    @parameterized.expand(test_data_suite)
+    def test_exp_tosa_MI(
+        self,
+        test_name: str,
+        test_data: torch.Tensor,
+    ):
+        self._test_exp_tosa_MI_pipeline(self.Exp(), (test_data,))
+
+    @parameterized.expand(test_data_suite)
+    def test_exp_tosa_BI(self, test_name: str, test_data: torch.Tensor):
+        self._test_exp_tosa_BI_pipeline(self.Exp(), (test_data,))
+
+    @parameterized.expand(test_data_suite)
+    def test_exp_tosa_u55_BI(self, test_name: str, test_data: torch.Tensor):
+        self._test_exp_tosa_u55_BI_pipeline(self.Exp(), (test_data,))
diff --git a/backends/arm/test/ops/test_expand.py b/backends/arm/test/ops/test_expand.py
new file mode 100644
index 0000000000..66c081a544
--- /dev/null
+++ b/backends/arm/test/ops/test_expand.py
@@ -0,0 +1,109 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+#
+# Tests the expand op which copies the data of the input tensor (possibly with new data format)
+#
+
+import unittest
+from typing import Sequence, Tuple
+
+import torch
+
+from executorch.backends.arm.quantizer.arm_quantizer import (
+    ArmQuantizer,
+    get_symmetric_quantization_config,
+)
+from executorch.backends.arm.test import common
+from executorch.backends.arm.test.tester.arm_tester import ArmTester
+
+from executorch.backends.xnnpack.test.tester.tester import Quantize
+from parameterized import parameterized
+
+
+class TestSimpleExpand(unittest.TestCase):
+    """Tests the Tensor.expand which should be converted to a repeat op by a pass."""
+
+    class Expand(torch.nn.Module):
+        # (input tensor, multiples)
+        test_parameters = [
+            (torch.ones(1), (2,)),
+            (torch.ones(1, 4), (1, -1)),
+            (torch.ones(1, 1, 2, 2), (4, 3, -1, 2)),
+            (torch.ones(1), (2, 2, 4)),
+            (torch.ones(3, 2, 4, 1), (-1, -1, -1, 3)),
+        ]
+
+        def forward(self, x: torch.Tensor, multiples: Sequence):
+            return x.expand(multiples)
+
+    def _test_expand_tosa_MI_pipeline(self, module: torch.nn.Module, test_data: Tuple):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .export()
+            .check_count({"torch.ops.aten.expand.default": 1})
+            .to_edge()
+            .partition()
+            .check_not(["torch.ops.aten.expand.default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data)
+        )
+
+    def _test_expand_tosa_BI_pipeline(self, module: torch.nn.Module, test_data: Tuple):
+        quantizer = ArmQuantizer().set_io(get_symmetric_quantization_config())
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .quantize(Quantize(quantizer, get_symmetric_quantization_config()))
+            .export()
+            .check_count({"torch.ops.aten.expand.default": 1})
+            .to_edge()
+            .partition()
+            .check_not(["torch.ops.aten.expand.default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data, qtol=1)
+        )
+
+    def _test_expand_tosa_u55_pipeline(self, module: torch.nn.Module, test_data: Tuple):
+        quantizer = ArmQuantizer().set_io(get_symmetric_quantization_config())
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_u55_compile_spec(),
+            )
+            .quantize(Quantize(quantizer, get_symmetric_quantization_config()))
+            .export()
+            .check_count({"torch.ops.aten.expand.default": 1})
+            .to_edge()
+            .partition()
+            .check_not(["torch.ops.aten.expand.default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+        )
+
+    @parameterized.expand(Expand.test_parameters)
+    def test_expand_tosa_MI(self, test_input, multiples):
+        self._test_expand_tosa_MI_pipeline(self.Expand(), (test_input, multiples))
+
+    @parameterized.expand(Expand.test_parameters)
+    def test_expand_tosa_BI(self, test_input, multiples):
+        self._test_expand_tosa_BI_pipeline(self.Expand(), (test_input, multiples))
+
+    # Expected failure since tosa.TILE is unsupported by Vela.
+    @parameterized.expand(Expand.test_parameters)
+    @unittest.expectedFailure
+    def test_expand_u55_BI(self, test_input, multiples):
+        self._test_expand_tosa_u55_pipeline(self.Expand(), (test_input, multiples))
diff --git a/backends/arm/test/ops/test_linear.py b/backends/arm/test/ops/test_linear.py
index 33f62955ec..6fdbb2127e 100644
--- a/backends/arm/test/ops/test_linear.py
+++ b/backends/arm/test/ops/test_linear.py
@@ -26,17 +26,17 @@
     (
         "model_linear_rank1_zeros",
         torch.zeros(10),
-        10,
+        15,
     ),
     (
         "model_linear_rank1_ones",
         torch.ones(10),
-        10,
+        15,
     ),
     (
         "model_linear_rank1_negative_ones",
         torch.ones(10) * (-1),
-        10,
+        20,
     ),
     (
         "model_linear_rank1_rand",
@@ -46,12 +46,12 @@
     (
         "model_linear_rank1_negative_large_rand",
         torch.rand(10) * (-100),
-        10,
+        30,
     ),
     (
         "model_linear_rank1_large_randn",
-        torch.randn(10) * 100,
-        10,
+        torch.randn(15) * 100,
+        20,
     ),
 ]
 
diff --git a/backends/arm/test/ops/test_log.py b/backends/arm/test/ops/test_log.py
new file mode 100644
index 0000000000..90066b3a63
--- /dev/null
+++ b/backends/arm/test/ops/test_log.py
@@ -0,0 +1,108 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright 2024 Arm Limited and/or its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import unittest
+
+from typing import Tuple
+
+import torch
+from executorch.backends.arm.test import common
+from executorch.backends.arm.test.tester.arm_tester import ArmTester
+from parameterized import parameterized
+
+test_data_suite = [
+    # (test_name, test_data)
+    ("ones_rank4", torch.ones(1, 10, 10, 10)),
+    ("ones_rank3", torch.ones(10, 10, 10)),
+    ("rand", torch.rand(10, 10) + 0.001),
+    ("randn_pos", torch.randn(10) + 10),
+    ("randn_spread", torch.max(torch.Tensor([0.0]), torch.randn(10) * 100)),
+    ("ramp", torch.arange(0.01, 20, 0.2)),
+]
+
+
+class TestLog(unittest.TestCase):
+    """Tests lowering of aten.log"""
+
+    class Log(torch.nn.Module):
+        def forward(self, x: torch.Tensor) -> torch.Tensor:
+            return torch.log(x)
+
+    def _test_log_tosa_MI_pipeline(
+        self, module: torch.nn.Module, test_data: Tuple[torch.tensor]
+    ):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .export()
+            .check(["torch.ops.aten.log.default"])
+            .check_not(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_not(["executorch_exir_dialects_edge__ops_aten_log_default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data)
+        )
+
+    def _test_log_tosa_BI_pipeline(self, module: torch.nn.Module, test_data: Tuple):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .quantize()
+            .export()
+            .check(["torch.ops.aten.log.default"])
+            .check(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_not(["executorch_exir_dialects_edge__ops_aten_log_default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data)
+        )
+
+    def _test_log_tosa_u55_BI_pipeline(
+        self, module: torch.nn.Module, test_data: Tuple[torch.tensor]
+    ):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_u55_compile_spec(),
+            )
+            .quantize()
+            .export()
+            .check_count({"torch.ops.aten.log.default": 1})
+            .check(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_not(["executorch_exir_dialects_edge__ops_aten_log_default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+        )
+
+    @parameterized.expand(test_data_suite)
+    def test_log_tosa_MI(
+        self,
+        test_name: str,
+        test_data: torch.Tensor,
+    ):
+        self._test_log_tosa_MI_pipeline(self.Log(), (test_data,))
+
+    @parameterized.expand(test_data_suite)
+    def test_log_tosa_BI(self, test_name: str, test_data: torch.Tensor):
+        self._test_log_tosa_BI_pipeline(self.Log(), (test_data,))
+
+    @parameterized.expand(test_data_suite)
+    def test_log_tosa_u55_BI(self, test_name: str, test_data: torch.Tensor):
+        self._test_log_tosa_u55_BI_pipeline(self.Log(), (test_data,))
diff --git a/backends/arm/test/ops/test_mean_dim.py b/backends/arm/test/ops/test_mean_dim.py
index e0db958f74..e48d749c19 100644
--- a/backends/arm/test/ops/test_mean_dim.py
+++ b/backends/arm/test/ops/test_mean_dim.py
@@ -106,7 +106,12 @@ def _test_meandim_tosa_u55_BI_pipeline(
             .check(["torch.ops.quantized_decomposed"])
             .to_edge()
             .partition()
-            .check_not(["executorch_exir_dialects_edge__ops_aten_mean_dim"])
+            .check_not(
+                [
+                    "executorch_exir_dialects_edge__ops_aten_mean_dim",
+                    "executorch_exir_dialects_edge__ops_aten_avg_pool2d_default",
+                ]
+            )
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .to_executorch()
         )
diff --git a/backends/arm/test/ops/test_mm.py b/backends/arm/test/ops/test_mm.py
new file mode 100644
index 0000000000..9a9b3ef579
--- /dev/null
+++ b/backends/arm/test/ops/test_mm.py
@@ -0,0 +1,141 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import logging
+import unittest
+
+from typing import Tuple
+
+import torch
+from executorch.backends.arm.test import common
+from executorch.backends.arm.test.tester.arm_tester import ArmTester
+from parameterized import parameterized
+
+logger = logging.getLogger(__name__)
+logger.setLevel(logging.INFO)
+
+torch.manual_seed(0)
+
+
+class TestMM(unittest.TestCase):
+    """Tests MatMul"""
+
+    class MM(torch.nn.Module):
+        test_parameters = [
+            (torch.rand(3, 5), torch.rand(5, 2)),
+            (torch.rand(1, 1), torch.rand(1, 1)),
+            (torch.ones(55, 3), torch.ones(3, 44)),
+            (10000 * torch.randn(1, 10), torch.randn(10, 5)),
+            (-10 * torch.randn(32, 64), 5 + 5 * torch.randn(64, 32)),
+        ]
+
+        def forward(self, x, y):
+            return torch.mm(x, y)
+
+    class MMSingleInput(torch.nn.Module):
+        test_parameters = [
+            (torch.rand(3, 3),),
+            (torch.ones(128, 128),),
+            (10000 * torch.randn(25, 25),),
+            (5 + 5 * torch.randn(64, 64),),
+        ]
+
+        def forward(self, x):
+            return torch.mm(x, x)
+
+    def _test_mm_tosa_MI_pipeline(
+        self, module: torch.nn.Module, test_data: Tuple[torch.Tensor]
+    ):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .export()
+            .check_count({"torch.ops.aten.mm.default": 1})
+            .check_not(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_not(["executorch_exir_dialects_edge__ops_aten_mm_default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data)
+        )
+
+    def _test_mm_tosa_BI_pipeline(
+        self, module: torch.nn.Module, test_data: Tuple[torch.Tensor]
+    ):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .quantize()
+            .export()
+            .check_count({"torch.ops.aten.mm.default": 1})
+            .check(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_not(["executorch_exir_dialects_edge__ops_aten_mm_default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data)
+        )
+
+    def _test_mm_u55_BI_pipeline(
+        self, module: torch.nn.Module, test_data: Tuple[torch.Tensor]
+    ):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_u55_compile_spec(),
+            )
+            .quantize()
+            .export()
+            .check_count({"torch.ops.aten.mm.default": 1})
+            .check(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+        )
+
+    @parameterized.expand(MM.test_parameters)
+    def test_mm_tosa_MI(self, operand1: torch.Tensor, operand2: torch.Tensor):
+        test_data = (operand1, operand2)
+        self._test_mm_tosa_MI_pipeline(self.MM(), test_data)
+
+    @parameterized.expand(MMSingleInput.test_parameters)
+    def test_mm_single_input_tosa_MI(self, operand1: torch.Tensor):
+        test_data = (operand1,)
+        self._test_mm_tosa_MI_pipeline(self.MMSingleInput(), test_data)
+
+    @parameterized.expand(MM.test_parameters)
+    def test_mm_tosa_BI(self, operand1: torch.Tensor, operand2: torch.Tensor):
+        test_data = (operand1, operand2)
+        self._test_mm_tosa_BI_pipeline(self.MM(), test_data)
+
+    @parameterized.expand(MMSingleInput.test_parameters)
+    def test_mm_single_input_tosa_BI(self, operand1: torch.Tensor):
+        test_data = (operand1,)
+        self._test_mm_tosa_BI_pipeline(self.MMSingleInput(), test_data)
+
+    # Expected to fail with error: CPU performance estimation for "MatMul" not implemented
+    @parameterized.expand(MM.test_parameters)
+    @unittest.expectedFailure
+    def test_mm_u55_BI(self, operand1: torch.Tensor, operand2: torch.Tensor):
+        test_data = (operand1, operand2)
+        self._test_mm_u55_BI_pipeline(self.MM(), test_data)
+
+    # Expected to fail with error: Warning, unsupported fusing of TOSA Rescale previous operator is of type: Memcpy
+    @parameterized.expand(MMSingleInput.test_parameters)
+    @unittest.expectedFailure
+    def test_mm_single_input_u55_BI(self, operand1: torch.Tensor):
+        test_data = (operand1,)
+        self._test_mm_u55_BI_pipeline(self.MMSingleInput(), test_data)
diff --git a/backends/arm/test/ops/test_mul.py b/backends/arm/test/ops/test_mul.py
new file mode 100644
index 0000000000..2aac3f22f1
--- /dev/null
+++ b/backends/arm/test/ops/test_mul.py
@@ -0,0 +1,152 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright 2024 Arm Limited and/or its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import unittest
+
+import torch
+from executorch.backends.arm.test import common
+from executorch.backends.arm.test.tester.arm_tester import ArmTester
+from parameterized import parameterized
+
+test_data_sute = [
+    # (test_name, input, other,) See torch.mul() for info
+    (
+        "op_mul_rank1_ones",
+        torch.ones(5),
+        torch.ones(5),
+    ),
+    (
+        "op_mul_rank2_rand",
+        torch.rand(4, 5),
+        torch.rand(1, 5),
+    ),
+    (
+        "op_mul_rank3_randn",
+        torch.randn(10, 5, 2),
+        torch.randn(10, 5, 2),
+    ),
+    (
+        "op_mul_rank4_randn",
+        torch.randn(5, 10, 25, 20),
+        torch.randn(5, 10, 25, 20),
+    ),
+    (
+        "op_mul_rank4_ones_mul_negative",
+        torch.ones(1, 10, 25, 20),
+        (-1) * torch.ones(5, 10, 25, 20),
+    ),
+    (
+        "op_mul_rank4_negative_large_rand",
+        (-200) * torch.rand(5, 10, 25, 20),
+        torch.rand(5, 1, 1, 20),
+    ),
+    (
+        "op_mul_rank4_large_randn",
+        200 * torch.randn(5, 10, 25, 20),
+        torch.rand(5, 10, 25, 1),
+    ),
+]
+
+
+class TestMul(unittest.TestCase):
+    class Mul(torch.nn.Module):
+
+        def forward(
+            self,
+            input_: torch.Tensor,
+            other_: torch.Tensor,
+        ):
+            return input_ * other_
+
+    def _test_mul_tosa_MI_pipeline(
+        self, module: torch.nn.Module, test_data: tuple[torch.Tensor, torch.Tensor]
+    ):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(permute_memory_to_nhwc=True),
+            )
+            .export()
+            .check_count({"torch.ops.aten.mul.Tensor": 1})
+            .check_not(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data)
+        )
+
+    def _test_mul_tosa_BI_pipeline(
+        self, module: torch.nn.Module, test_data: tuple[torch.Tensor, torch.Tensor]
+    ):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(permute_memory_to_nhwc=True),
+            )
+            .quantize()
+            .export()
+            .check_count({"torch.ops.aten.mul.Tensor": 1})
+            .check(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data, qtol=1.0)
+        )
+
+    def _test_mul_u55_BI_pipeline(
+        self, module: torch.nn.Module, test_data: tuple[torch.Tensor, torch.Tensor]
+    ):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_u55_compile_spec(permute_memory_to_nhwc=True),
+            )
+            .quantize()
+            .export()
+            .check_count({"torch.ops.aten.mul.Tensor": 1})
+            .check(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+        )
+
+    @parameterized.expand(test_data_sute)
+    def test_mul_tosa_MI(
+        self,
+        test_name: str,
+        input_: torch.Tensor,
+        other_: torch.Tensor,
+    ):
+        test_data = (input_, other_)
+        self._test_mul_tosa_MI_pipeline(self.Mul(), test_data)
+
+    @parameterized.expand(test_data_sute)
+    def test_mul_tosa_BI(
+        self,
+        test_name: str,
+        input_: torch.Tensor,
+        other_: torch.Tensor,
+    ):
+
+        test_data = (input_, other_)
+        self._test_mul_tosa_BI_pipeline(self.Mul(), test_data)
+
+    @parameterized.expand(test_data_sute)
+    def test_mul_u55_BI(
+        self,
+        test_name: str,
+        input_: torch.Tensor,
+        other_: torch.Tensor,
+    ):
+        test_data = (input_, other_)
+        self._test_mul_u55_BI_pipeline(self.Mul(), test_data)
diff --git a/backends/arm/test/ops/test_relu.py b/backends/arm/test/ops/test_relu.py
new file mode 100644
index 0000000000..d2ca8540f4
--- /dev/null
+++ b/backends/arm/test/ops/test_relu.py
@@ -0,0 +1,120 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright 2024 Arm Limited and/or its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import unittest
+
+from typing import Tuple
+
+import torch
+from executorch.backends.arm.quantizer.arm_quantizer import (
+    ArmQuantizer,
+    get_symmetric_quantization_config,
+)
+from executorch.backends.arm.test import common
+from executorch.backends.arm.test.tester.arm_tester import ArmTester
+from executorch.backends.xnnpack.test.tester.tester import Quantize
+from parameterized import parameterized
+
+
+test_data_suite = [
+    # (test_name, test_data)
+    ("zeros", torch.zeros(1, 10, 10, 10)),
+    ("ones", torch.ones(10, 10, 10)),
+    ("rand", torch.rand(10, 10) - 0.5),
+    ("randn_pos", torch.randn(10) + 10),
+    ("randn_neg", torch.randn(10) - 10),
+    ("ramp", torch.arange(-16, 16, 0.2)),
+]
+
+
+class TestRelu(unittest.TestCase):
+    class Relu(torch.nn.Module):
+        def __init__(self):
+            super().__init__()
+            self.relu = torch.nn.ReLU()
+
+        def forward(self, x):
+            return self.relu(x)
+
+    def _test_relu_tosa_MI_pipeline(
+        self, module: torch.nn.Module, test_data: Tuple[torch.tensor]
+    ):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .export()
+            .check(["torch.ops.aten.relu.default"])
+            .check_not(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_not(["executorch_exir_dialects_edge__ops_aten_relu_default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data)
+        )
+
+    def _test_relu_tosa_BI_pipeline(
+        self, module: torch.nn.Module, test_data: Tuple[torch.tensor]
+    ):
+        quantizer = ArmQuantizer().set_io(get_symmetric_quantization_config())
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .quantize(Quantize(quantizer, get_symmetric_quantization_config()))
+            .export()
+            .check_count({"torch.ops.aten.relu.default": 1})
+            .check(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_not(["executorch_exir_dialects_edge__ops_aten_relu_default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data)
+        )
+
+    def _test_relu_tosa_u55_BI_pipeline(
+        self, module: torch.nn.Module, test_data: Tuple[torch.tensor]
+    ):
+        quantizer = ArmQuantizer().set_io(get_symmetric_quantization_config())
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_u55_compile_spec(),
+            )
+            .quantize(Quantize(quantizer, get_symmetric_quantization_config()))
+            .export()
+            .check_count({"torch.ops.aten.relu.default": 1})
+            .check(["torch.ops.quantized_decomposed"])
+            .to_edge()
+            .partition()
+            .check_not(["executorch_exir_dialects_edge__ops_aten_relu_default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+        )
+
+    @parameterized.expand(test_data_suite)
+    def test_relu_tosa_MI(
+        self,
+        test_name: str,
+        test_data: torch.Tensor,
+    ):
+        self._test_relu_tosa_MI_pipeline(self.Relu(), (test_data,))
+
+    @parameterized.expand(test_data_suite)
+    def test_relu_tosa_BI(self, test_name: str, test_data: torch.Tensor):
+        self._test_relu_tosa_BI_pipeline(self.Relu(), (test_data,))
+
+    @parameterized.expand(test_data_suite)
+    def test_relu_tosa_u55_BI(self, test_name: str, test_data: torch.Tensor):
+        self._test_relu_tosa_u55_BI_pipeline(self.Relu(), (test_data,))
diff --git a/backends/arm/test/ops/test_repeat.py b/backends/arm/test/ops/test_repeat.py
new file mode 100644
index 0000000000..a6fad03345
--- /dev/null
+++ b/backends/arm/test/ops/test_repeat.py
@@ -0,0 +1,110 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+#
+# Tests the repeat op which copies the data of the input tensor (possibly with new data format)
+#
+
+import unittest
+from typing import Sequence, Tuple
+
+import torch
+
+from executorch.backends.arm.quantizer.arm_quantizer import (
+    ArmQuantizer,
+    get_symmetric_quantization_config,
+)
+from executorch.backends.arm.test import common
+from executorch.backends.arm.test.tester.arm_tester import ArmTester
+
+from executorch.backends.xnnpack.test.tester.tester import Quantize
+from parameterized import parameterized
+
+
+class TestSimpleRepeat(unittest.TestCase):
+    """Tests Tensor.repeat for different ranks and dimensions."""
+
+    class Repeat(torch.nn.Module):
+        # (input tensor, multiples)
+        test_parameters = [
+            (torch.randn(3), (2,)),
+            (torch.randn(3, 4), (2, 1)),
+            (torch.randn(1, 1, 2, 2), (1, 2, 3, 4)),
+            (torch.randn(3), (2, 2)),
+            (torch.randn(3), (1, 2, 3)),
+            (torch.randn((3, 3)), (2, 2, 2)),
+        ]
+
+        def forward(self, x: torch.Tensor, multiples: Sequence):
+            return x.repeat(multiples)
+
+    def _test_repeat_tosa_MI_pipeline(self, module: torch.nn.Module, test_data: Tuple):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .export()
+            .check_count({"torch.ops.aten.repeat.default": 1})
+            .to_edge()
+            .partition()
+            .check_not(["torch.ops.aten.repeat.default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data)
+        )
+
+    def _test_repeat_tosa_BI_pipeline(self, module: torch.nn.Module, test_data: Tuple):
+        quantizer = ArmQuantizer().set_io(get_symmetric_quantization_config())
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .quantize(Quantize(quantizer, get_symmetric_quantization_config()))
+            .export()
+            .check_count({"torch.ops.aten.repeat.default": 1})
+            .to_edge()
+            .partition()
+            .check_not(["torch.ops.aten.repeat.default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data, qtol=1)
+        )
+
+    def _test_repeat_tosa_u55_pipeline(self, module: torch.nn.Module, test_data: Tuple):
+        quantizer = ArmQuantizer().set_io(get_symmetric_quantization_config())
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_u55_compile_spec(),
+            )
+            .quantize(Quantize(quantizer, get_symmetric_quantization_config()))
+            .export()
+            .check_count({"torch.ops.aten.repeat.default": 1})
+            .to_edge()
+            .partition()
+            .check_not(["torch.ops.aten.repeat.default"])
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+        )
+
+    @parameterized.expand(Repeat.test_parameters)
+    def test_repeat_tosa_MI(self, test_input, multiples):
+        self._test_repeat_tosa_MI_pipeline(self.Repeat(), (test_input, multiples))
+
+    @parameterized.expand(Repeat.test_parameters)
+    def test_repeat_tosa_BI(self, test_input, multiples):
+        self._test_repeat_tosa_BI_pipeline(self.Repeat(), (test_input, multiples))
+
+    # Expected failure since tosa.TILE is unsupported by Vela.
+    @parameterized.expand(Repeat.test_parameters)
+    @unittest.expectedFailure
+    def test_repeat_u55_BI(self, test_input, multiples):
+        self._test_repeat_tosa_u55_pipeline(self.Repeat(), (test_input, multiples))
diff --git a/backends/arm/test/ops/test_sigmoid.py b/backends/arm/test/ops/test_sigmoid.py
index 7a0435689f..369019774f 100644
--- a/backends/arm/test/ops/test_sigmoid.py
+++ b/backends/arm/test/ops/test_sigmoid.py
@@ -145,8 +145,6 @@ def test_sigmoid_add_sigmoid_tosa_BI(self):
             self.SigmoidAddSigmoid(), (test_data_suite[4][1], test_data_suite[3][1])
         )
 
-    # Fails due to Vela diff from Tosa spec, expected to work with Regor.
     @parameterized.expand(test_data_suite)
-    @unittest.expectedFailure
     def test_sigmoid_tosa_u55_BI(self, test_name: str, test_data: torch.Tensor):
         self._test_sigmoid_tosa_u55_BI_pipeline(self.Sigmoid(), (test_data,))
diff --git a/backends/arm/test/ops/test_slice.py b/backends/arm/test/ops/test_slice.py
index a1c1e29cbc..14874df156 100644
--- a/backends/arm/test/ops/test_slice.py
+++ b/backends/arm/test/ops/test_slice.py
@@ -33,7 +33,7 @@ def forward(self, x: torch.Tensor):
             elif x.dim() == 3:
                 return x[0:7, 0:1, 0:8]
             elif x.dim() == 4:
-                return x[:, 2:5, 3:5, 4:5]
+                return x[:, 2:5, 3:5, 4:10]
 
     def _test_slice_tosa_MI_pipeline(
         self, module: torch.nn.Module, test_data: torch.Tensor
diff --git a/backends/arm/test/ops/test_softmax.py b/backends/arm/test/ops/test_softmax.py
index b3b6230daa..20da65b687 100644
--- a/backends/arm/test/ops/test_softmax.py
+++ b/backends/arm/test/ops/test_softmax.py
@@ -5,7 +5,6 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
-import logging
 import unittest
 
 from typing import Tuple
@@ -15,15 +14,17 @@
 from executorch.backends.arm.test.tester.arm_tester import ArmTester
 from parameterized import parameterized
 
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.INFO)
 
 test_data_suite = [
     # (test_name, test_data, dim)
-    ("zeros", torch.zeros(10, 10, 10, 10), 1),
+    ("zeros", torch.zeros(10, 10, 10, 10), 0),
+    ("zeros_neg_dim", torch.zeros(10, 10, 10, 10), -4),
     ("ones", torch.ones(10, 10, 10, 10), 1),
+    ("ones_neg_dim", torch.ones(10, 10, 10, 10), -1),
     ("rand", torch.rand(10, 10, 10, 10), 2),
+    ("rand_neg_dim", torch.rand(10, 10, 10, 10), -2),
     ("randn", torch.randn(10, 10, 10, 10), 3),
+    ("randn_neg_dim", torch.randn(10, 10, 10, 10), -3),
 ]
 
 
diff --git a/backends/arm/test/ops/test_split.py b/backends/arm/test/ops/test_split.py
new file mode 100644
index 0000000000..bc998179c0
--- /dev/null
+++ b/backends/arm/test/ops/test_split.py
@@ -0,0 +1,139 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import unittest
+
+import torch
+from executorch.backends.arm.quantizer.arm_quantizer import (
+    ArmQuantizer,
+    get_symmetric_quantization_config,
+)
+from executorch.backends.arm.test import common
+from executorch.backends.arm.test.tester.arm_tester import ArmTester
+from executorch.backends.xnnpack.test.tester.tester import Quantize
+from parameterized import parameterized
+
+test_data_t = tuple[torch.Tensor, int | list[int], int]
+
+
+class TestSimpleSplit(unittest.TestCase):
+    class Split(torch.nn.Module):
+
+        test_data: list[tuple[test_data_t]] = [
+            ((torch.rand(10), 2, 0),),
+            ((torch.rand(10, 10), 3, 1),),
+            ((torch.rand(10, 10), 4, -1),),
+            ((torch.rand(10, 15, 10), [2, 2, 11], 1),),
+            ((torch.rand(4, 4, 4, 4), 2, 0),),
+            ((torch.rand(4, 4, 4, 4), [1, 1, 1, 1], -2),),
+        ]
+
+        def forward(
+            self, x: torch.Tensor, split_size_or_sections: int | list[int], dim: int
+        ):
+            return x.split(split_size=split_size_or_sections, dim=dim)
+
+    class SplitWithSizes(torch.nn.Module):
+        def forward(self, x: torch.Tensor, split_sizes: list[int], dim: int):
+            return x.split_with_sizes(split_sizes=split_sizes, dim=dim)
+
+    class SplitSingleOut(torch.nn.Module):
+        def forward(
+            self, x: torch.Tensor, split_size_or_sections: int | list[int], dim: int
+        ):
+            return x.split(split_size=split_size_or_sections, dim=dim)[1]
+
+    class SplitTwoOut(torch.nn.Module):
+        def forward(
+            self, x: torch.Tensor, split_size_or_sections: int | list[int], dim: int
+        ):
+            return x.split(split_size=split_size_or_sections, dim=dim)[1:3]
+
+    def _test_split_tosa_MI_pipeline(
+        self, module: torch.nn.Module, test_data: test_data_t
+    ):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .export()
+            .to_edge()
+            .check(
+                [
+                    "executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default"
+                ]
+            )
+            .partition()
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data)
+        )
+
+    def _test_split_tosa_BI_pipeline(
+        self, module: torch.nn.Module, test_data: test_data_t
+    ):
+
+        quantizer = ArmQuantizer().set_io(get_symmetric_quantization_config())
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .quantize(Quantize(quantizer, get_symmetric_quantization_config()))
+            .export()
+            .to_edge()
+            .partition()
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data, qtol=1)
+        )
+
+    def _test_split_u55_BI_pipeline(
+        self, module: torch.nn.Module, test_data: test_data_t
+    ):
+        quantizer = ArmQuantizer().set_io(get_symmetric_quantization_config())
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_u55_compile_spec(),
+            )
+            .quantize(Quantize(quantizer, get_symmetric_quantization_config()))
+            .export()
+            .check(["torch.ops.aten.split.Tensor"])
+            .to_edge()
+            .partition()
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+        )
+
+    @parameterized.expand(Split.test_data)
+    def test_split_tosa_MI(self, test_data: test_data_t):
+        self._test_split_tosa_MI_pipeline(self.Split(), test_data)
+
+    @parameterized.expand([Split.test_data[3], Split.test_data[5]])
+    def test_split_with_sizes_tosa_MI(self, test_data: test_data_t):
+        assert isinstance(test_data[1], list)
+        self._test_split_tosa_MI_pipeline(self.SplitWithSizes(), test_data)
+
+    @parameterized.expand(Split.test_data)
+    def test_split_n_out_tosa_MI(self, test_data: test_data_t):
+        self._test_split_tosa_MI_pipeline(self.SplitSingleOut(), test_data)
+        self._test_split_tosa_MI_pipeline(self.SplitTwoOut(), test_data)
+
+    @parameterized.expand(Split.test_data)
+    def test_split_tosa_BI(self, test_data: test_data_t):
+        self._test_split_tosa_BI_pipeline(self.Split(), test_data)
+
+    # Fails during Vela compilation when trying to use a Tuple as a Named tuple,
+    # Could be Vela Issue, wait until Regor.
+    @parameterized.expand(Split.test_data)
+    @unittest.expectedFailure
+    def test_split_u55_BI(self, test_data: test_data_t):
+        self._test_split_u55_BI_pipeline(self.Split(), test_data)
diff --git a/backends/arm/test/ops/test_sub.py b/backends/arm/test/ops/test_sub.py
index 2ae7c3ab36..0a9f159f36 100644
--- a/backends/arm/test/ops/test_sub.py
+++ b/backends/arm/test/ops/test_sub.py
@@ -104,9 +104,7 @@ def test_sub_tosa_BI(self, test_data: torch.Tensor):
         test_data = (test_data,)
         self._test_sub_tosa_BI_pipeline(self.Sub(), test_data)
 
-    # Expected to fail since RESCALE cannot be fused with SUB in Vela.
     @parameterized.expand(Sub.test_parameters)
-    @unittest.expectedFailure
     def test_sub_u55_BI(self, test_data: torch.Tensor):
         test_data = (test_data,)
         self._test_sub_u55_BI_pipeline(self.Sub(), test_data)
diff --git a/backends/arm/test/ops/test_unsqueeze.py b/backends/arm/test/ops/test_unsqueeze.py
new file mode 100644
index 0000000000..6da6a196c0
--- /dev/null
+++ b/backends/arm/test/ops/test_unsqueeze.py
@@ -0,0 +1,103 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+#
+# Tests the unsqueeze op which copies the data of the input tensor (possibly with new data format)
+#
+
+import unittest
+from typing import Sequence, Tuple
+
+import torch
+
+from executorch.backends.arm.quantizer.arm_quantizer import (
+    ArmQuantizer,
+    get_symmetric_quantization_config,
+)
+from executorch.backends.arm.test import common
+from executorch.backends.arm.test.tester.arm_tester import ArmTester
+
+from executorch.backends.xnnpack.test.tester.tester import Quantize
+from parameterized import parameterized
+
+
+class TestSimpleUnsqueeze(unittest.TestCase):
+    class Unsqueeze(torch.nn.Module):
+        shapes: list[int | Sequence[int]] = [5, (5, 5), (5, 5), (5, 5, 5)]
+        test_parameters: list[tuple[torch.Tensor]] = [(torch.ones(n),) for n in shapes]
+
+        def forward(self, x: torch.Tensor, dim):
+            return x.unsqueeze(dim)
+
+    def _test_unsqueeze_tosa_MI_pipeline(
+        self, module: torch.nn.Module, test_data: Tuple[torch.Tensor, int]
+    ):
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .export()
+            .check_count({"torch.ops.aten.unsqueeze.default": 1})
+            .to_edge()
+            .partition()
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data)
+        )
+
+    def _test_unsqueeze_tosa_BI_pipeline(
+        self, module: torch.nn.Module, test_data: Tuple[torch.Tensor, int]
+    ):
+        quantizer = ArmQuantizer().set_io(get_symmetric_quantization_config())
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .quantize(Quantize(quantizer, get_symmetric_quantization_config()))
+            .export()
+            .check_count({"torch.ops.aten.unsqueeze.default": 1})
+            .to_edge()
+            .partition()
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+            .run_method_and_compare_outputs(inputs=test_data, qtol=1)
+        )
+
+    def _test_unsqueeze_tosa_u55_pipeline(
+        self, module: torch.nn.Module, test_data: Tuple[torch.Tensor, int]
+    ):
+        quantizer = ArmQuantizer().set_io(get_symmetric_quantization_config())
+        (
+            ArmTester(
+                module,
+                example_inputs=test_data,
+                compile_spec=common.get_u55_compile_spec(),
+            )
+            .quantize(Quantize(quantizer, get_symmetric_quantization_config()))
+            .export()
+            .check_count({"torch.ops.aten.unsqueeze.default": 1})
+            .to_edge()
+            .partition()
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .to_executorch()
+        )
+
+    @parameterized.expand(Unsqueeze.test_parameters)
+    def test_unsqueeze_tosa_MI(self, test_tensor: torch.Tensor):
+        for i in range(-test_tensor.dim() - 1, test_tensor.dim() + 1):
+            self._test_unsqueeze_tosa_MI_pipeline(self.Unsqueeze(), (test_tensor, i))
+
+    @parameterized.expand(Unsqueeze.test_parameters)
+    def test_unsqueeze_tosa_BI(self, test_tensor: torch.Tensor):
+        self._test_unsqueeze_tosa_BI_pipeline(self.Unsqueeze(), (test_tensor, 0))
+
+    @parameterized.expand(Unsqueeze.test_parameters)
+    def test_unsqueeze_u55_BI(self, test_tensor: torch.Tensor):
+        self._test_unsqueeze_tosa_u55_pipeline(self.Unsqueeze(), (test_tensor, 0))
diff --git a/backends/arm/test/passes/test_meandim_to_averagepool2d.py b/backends/arm/test/passes/test_meandim_to_averagepool2d.py
new file mode 100644
index 0000000000..1cd63e6e52
--- /dev/null
+++ b/backends/arm/test/passes/test_meandim_to_averagepool2d.py
@@ -0,0 +1,75 @@
+# Copyright 2024 Arm Limited and/or its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import unittest
+
+import torch
+from executorch.backends.arm.passes.meandim_to_averagepool_pass import (
+    ConvertMeanDimToAveragePool,
+)
+
+from executorch.backends.arm.test import common
+from executorch.backends.arm.test.tester.arm_tester import ArmTester
+
+from executorch.backends.xnnpack.test.tester.tester import RunPasses
+
+
+class MeanDim(torch.nn.Module):
+    def forward(self, x):
+        return torch.mean(x, dim=[-1, -2], keepdim=True)
+
+    def get_inputs(self):
+        return (torch.rand(1, 1280, 7, 7),)
+
+
+class MeanDim2(torch.nn.Module):
+    def forward(self, x):
+        return torch.mean(x, dim=1)
+
+    def get_inputs(self):
+        return (torch.rand(1, 1280, 7, 7),)
+
+
+class TestMeandimToAveragePool2dPass(unittest.TestCase):
+    """
+    Tests the MeanDimToAveragePool2dPass which converts mean.dim to average_pool2d
+    for the special case where dim is [-1, -2] and keepdim is True.
+    """
+
+    def test_tosa_BI_meandim_to_averagepool(self):
+        module = MeanDim()
+        test_pass_stage = RunPasses([ConvertMeanDimToAveragePool])
+        (
+            ArmTester(
+                module,
+                example_inputs=module.get_inputs(),
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .quantize()
+            .export()
+            .to_edge()
+            .check(["executorch_exir_dialects_edge__ops_aten_mean_dim"])
+            .run_passes(test_pass_stage)
+            .check(["executorch_exir_dialects_edge__ops_aten_avg_pool2d_default"])
+        )
+
+    def test_tosa_BI_meandim_no_modification(self):
+        module = MeanDim2()
+        test_pass_stage = RunPasses([ConvertMeanDimToAveragePool])
+        (
+            ArmTester(
+                module,
+                example_inputs=module.get_inputs(),
+                compile_spec=common.get_tosa_compile_spec(),
+            )
+            .quantize()
+            .export()
+            .to_edge()
+            .check(["executorch_exir_dialects_edge__ops_aten_mean_dim"])
+            .run_passes(test_pass_stage)
+            .check(["executorch_exir_dialects_edge__ops_aten_mean_dim"])
+            .check_not(["executorch_exir_dialects_edge__ops_aten_avg_pool2d_default"])
+        )
diff --git a/backends/arm/test/runner_utils.py b/backends/arm/test/runner_utils.py
index 58c99a9201..6e8b9b25ed 100644
--- a/backends/arm/test/runner_utils.py
+++ b/backends/arm/test/runner_utils.py
@@ -10,6 +10,7 @@
 import subprocess
 import tempfile
 
+from pathlib import Path
 from typing import Dict, List, Optional, Tuple
 
 import numpy as np
@@ -202,7 +203,7 @@ def set_timeout(self, timeout: int):
     def run_corstone300(
         self,
         inputs: Tuple[torch.Tensor],
-    ) -> torch.Tensor:
+    ) -> list[torch.Tensor]:
 
         assert (
             self._has_init_run
@@ -265,20 +266,23 @@ def run_corstone300(
             raise RuntimeError(
                 f"Corstone simulation failed, log: \n {result_stdout}\n{result.stderr.decode()}"
             )
+        elif "E [" in result_stdout:
+            logger.error(result_stdout)
 
         tosa_ref_output = np.fromfile(out_path_with_suffix, dtype=np.float32)
-        tosa_ref_output = torch.from_numpy(tosa_ref_output).reshape(inputs[0].shape)
-        return tosa_ref_output
+        output_shape = self.output_node.args[0][0].meta["val"].shape
+        tosa_ref_output = torch.from_numpy(tosa_ref_output).reshape(output_shape)
+        return [tosa_ref_output]
 
     def run_tosa_ref_model(
         self,
         inputs: Tuple[torch.Tensor],
-    ) -> torch.Tensor:
+    ) -> list[torch.Tensor]:
         """
-        Run TOSA reference model using the tosa_refence_model program.
+        Run TOSA reference model using the tosa_reference_model program.
 
         In order to do that we need:
-        1. desc.json, which points to files needed by tosa_refence_model.
+        1. desc.json, which points to files needed by tosa_reference_model.
         2. output.tosa, which is the TOSA buffer that describes the model we're
            trying to run.
 
@@ -287,12 +291,6 @@ def run_tosa_ref_model(
         All these files are saved on disk in self.intermediate_path.
 
         Args:
-            params_input (Tuple[List[str], List[QuantizationParams]]): A tuple
-                containing a list of input node names and a list of their
-                quantization parameters (if model is quantized).
-            param_output (Tuple[str, QuantizationParams]): A tuple containing
-                the output node name and its quantization parameters (if
-                model is quantized).
             inputs (Tuple[torch.Tensor]): The input data to run the TOSA
 
         Returns:
@@ -328,7 +326,18 @@ def run_tosa_ref_model(
             self._has_init_run
         ), "RunnerUtil needs to be initialized using init_run() before running tosa reference."
 
-        desc_file_path = os.path.join(self.intermediate_path, "desc.json")
+        all_desc_file_paths = [
+            str(path) for path in Path(self.intermediate_path).glob("desc*.json")
+        ]
+        assert (
+            all_desc_file_paths
+        ), f"No TOSA description file found in '{self.intermediate_path}'."
+        if len(all_desc_file_paths) != 1:
+            raise NotImplementedError(
+                "Graphs with more than one partition are currently not supported."
+            )
+
+        desc_file_path = all_desc_file_paths[0]
         assert os.path.exists(
             desc_file_path
         ), f"desc_file_path: {desc_file_path} does not exist"
@@ -369,23 +378,26 @@ def run_tosa_ref_model(
         # Load desc.json, just to get the name of the output file above
         with open(desc_file_path) as f:
             desc_json = json.load(f)
-        ofm_file_npy = os.path.join(self.intermediate_path, desc_json["ofm_file"][0])
 
-        # Load the output file (OFM) and return it as a numpy array
-        tosa_ref_output = np.load(ofm_file_npy)
+        tosa_ref_outputs = []
+        for ofm_file in desc_json["ofm_file"]:
+            ofm_file_npy = os.path.join(self.intermediate_path, ofm_file)
+
+            # Load the output file (OFM) and return it as a numpy array
+            tosa_ref_output = np.load(ofm_file_npy)
 
-        if self.is_quantized:
-            # Need to dequant back to FP32 for comparison with torch output
-            quant_param = self.qp_output
-            assert (
-                quant_param is not None
-            ), "There are no quantization parameters, check output parameters"
-            tosa_ref_output = (tosa_ref_output - quant_param.zp) * quant_param.scale
+            if self.is_quantized:
+                # Need to dequant back to FP32 for comparison with torch output
+                quant_param = self.qp_output
+                assert (
+                    quant_param is not None
+                ), "There are no quantization parameters, check output parameters"
+                tosa_ref_output = (tosa_ref_output - quant_param.zp) * quant_param.scale
 
-        # tosa_output is a numpy array, convert to torch tensor for comparison
-        tosa_ref_output = torch.from_numpy(tosa_ref_output.astype("float32"))
+            # tosa_output is a numpy array, convert to torch tensor for comparison
+            tosa_ref_outputs.append(torch.from_numpy(tosa_ref_output.astype("float32")))
 
-        return tosa_ref_output
+        return tosa_ref_outputs
 
 
 def prep_data_for_save(
@@ -420,7 +432,7 @@ def save_npy(
     Parameters:
         path: the directory where to save the data.
         data: the data to save.
-        is_quantize: whether to quantize the data before saving it.
+        is_quantized: whether to quantize the data before saving it.
         input_name: the name of the file, without file-ending.
         quant_param: the parameters to use for quantization.
     Returns:
@@ -445,7 +457,7 @@ def save_bytes(
     Parameters:
         path: the directory where to save the data.
         data: the data to save.
-        is_quantize: whether to quantize the data before saving it.
+        is_quantized: whether to quantize the data before saving it.
         input_name: the name of the file, without file-ending.
         quant_param: the parameters to use for quantization.
     Returns:
diff --git a/backends/arm/test/tester/arm_tester.py b/backends/arm/test/tester/arm_tester.py
index be5ea7dd71..2fe8c07e7d 100644
--- a/backends/arm/test/tester/arm_tester.py
+++ b/backends/arm/test/tester/arm_tester.py
@@ -34,6 +34,7 @@
 from executorch.backends.xnnpack.test.tester import Tester
 from executorch.exir import EdgeCompileConfig
 from executorch.exir.backend.compile_spec_schema import CompileSpec
+from executorch.exir.lowered_backend_module import LoweredBackendModule
 from torch.fx import Graph
 
 logger = logging.getLogger(__name__)
@@ -44,21 +45,42 @@ class Partition(tester.Partition):
     def dump_artifact(self, path_to_dump: Optional[str]):
         super().dump_artifact(path_to_dump)
 
-        to_print = None
-        for spec in self.graph_module.lowered_module_0.compile_specs:
-            if spec.key == "output_format":
-                if spec.value == b"tosa":
-                    tosa_fb = self.graph_module.lowered_module_0.processed_bytes
+        def get_output_format(lowered_module) -> str | None:
+            for spec in lowered_module.compile_specs:
+                if spec.key == "output_format":
+                    return spec.value.decode()
+            return None
+
+        output = ""
+        for node in self.graph_module.graph.nodes:
+            if node.op == "get_attr" and node.name.startswith("lowered_module_"):
+                lowered_module = getattr(self.graph_module, node.name)
+                assert isinstance(
+                    lowered_module, LoweredBackendModule
+                ), f"Attribute {node.name} must be of type LoweredBackendModule."
+
+                output_format = get_output_format(lowered_module)
+                if output_format == "tosa":
+                    tosa_fb = lowered_module.processed_bytes
                     to_print = dbg_tosa_fb_to_json(tosa_fb)
                     to_print = pformat(to_print, compact=True, indent=1)
-                    to_print = f"\n TOSA deserialized: \n{to_print}"
-                elif spec.value == b"vela":
-                    vela_cmd_stream = self.graph_module.lowered_module_0.processed_bytes
-                    to_print = str(vela_cmd_stream)
-                    to_print = f"\n Vela command stream: \n{to_print}"
-                break
-        assert to_print is not None, "No TOSA nor Vela compile spec found"
-        _dump_str(to_print, path_to_dump)
+                    output += f"\nTOSA deserialized {node.name}: \n{to_print}\n"
+                elif output_format == "vela":
+                    vela_cmd_stream = lowered_module.processed_bytes
+                    output += (
+                        f"\nVela command stream {node.name}: \n{vela_cmd_stream}\n"
+                    )
+                else:
+                    logger.warning(
+                        f"No TOSA nor Vela compile spec found in compile specs of {node.name}."
+                    )
+                    continue
+
+        if not output:
+            logger.warning("No output to print generated from artifact.")
+            return
+
+        _dump_str(output, path_to_dump)
 
 
 class Serialize(tester.Serialize):
@@ -242,16 +264,21 @@ def run_method_and_compare_outputs(
         # Loop inputs and compare reference stage with the compared stage.
         for run_iteration in range(num_runs):
             reference_input = inputs if inputs else next(self.generate_random_inputs())
-            if is_nhwc:
-                test_input = self.transpose_data_format(reference_input, "NHWC")
-            else:
-                test_input = reference_input
 
             # Test parameters can include constants that are used in eager mode but are already set as attributes
             # in TOSA. Therefore, only accept torch.Tensor inputs.
-            test_input = [
-                tensor for tensor in test_input if isinstance(tensor, torch.Tensor)
-            ]
+            test_input: list[torch.Tensor] = []
+            for arg in reference_input:
+                if isinstance(arg, torch.Tensor):
+                    test_input.append(arg)
+                if isinstance(arg, tuple) and isinstance(arg[0], torch.Tensor):
+                    test_input.extend(list(arg))
+
+            if (
+                is_nhwc
+                and test_stage == self.stages[self.stage_name(tester.ToExecutorch)]
+            ):
+                test_input = self.transpose_data_format(test_input, "NHWC")
 
             input_shapes = [
                 generated_input.shape if hasattr(generated_input, "shape") else (1,)
@@ -260,8 +287,11 @@ def run_method_and_compare_outputs(
             print(f"Run {run_iteration} with input shapes: {input_shapes}")
 
             reference_output = reference_stage.run_artifact(reference_input)
-            test_output = (test_stage.run_artifact(test_input),)
-            if is_nhwc:
+            test_output = tuple(test_stage.run_artifact(test_input))
+            if (
+                is_nhwc
+                and test_stage == self.stages[self.stage_name(tester.ToExecutorch)]
+            ):
                 test_output = self.transpose_data_format(test_output, "NCHW")
 
             self._compare_outputs(
diff --git a/backends/arm/tosa_mapping.py b/backends/arm/tosa_mapping.py
index 5749d1e204..0baf3e2ec1 100644
--- a/backends/arm/tosa_mapping.py
+++ b/backends/arm/tosa_mapping.py
@@ -3,6 +3,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 #
 # PyTorch to Tosa mapping - simple mapping functions and multi-type extraction
 # of key information. These are used by the initial compile stage which captures
diff --git a/backends/arm/tosa_quant_utils.py b/backends/arm/tosa_quant_utils.py
index 55649f4bef..8a90e432a6 100644
--- a/backends/arm/tosa_quant_utils.py
+++ b/backends/arm/tosa_quant_utils.py
@@ -3,18 +3,21 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 # Utiliy functions for TOSA quantized lowerings
 
 import math
-from typing import NamedTuple
+from typing import NamedTuple, Sequence
 
 import numpy as np
 
 import serializer.tosa_serializer as ts
 import torch.fx
+import tosa.Op as TosaOp
 from executorch.backends.arm.tosa_mapping import map_dtype, TosaArg
 from executorch.exir.dialects._ops import ops as exir_ops
-from serializer.tosa_serializer import TosaOp, TosaSerializerTensor
+from serializer.tosa_serializer import TosaSerializerTensor
 from torch.fx import Node
 
 q_op = exir_ops.edge.quantized_decomposed.quantize_per_tensor.default
@@ -65,6 +68,7 @@ def is_quant_node(node: torch.fx.Node):
 
 
 def get_quant_node_dtype(node: torch.fx.Node):
+    # pyre-ignore[16]: Undefined attribute.
     if "tosa" in node.target.__name__:
         return node.meta["val"].dtype
 
@@ -171,7 +175,7 @@ def build_rescale(
     output_shape,
     input_zp,
     output_zp,
-    is_double_round,
+    is_double_round=False,
 ):
     scale_width = 32 if is_scale32(output_type) else 16
     multiplier, shift = compute_multiplier_and_shift(scale, scale_width)
@@ -197,7 +201,7 @@ def build_rescale(
 
 
 def build_rescale_to_int32(
-    tosa_fb, input, input_zp, rescale_scale, is_scale32=True, is_double_round=True
+    tosa_fb, input, input_zp, rescale_scale, is_scale32=True, is_double_round=False
 ) -> TosaSerializerTensor:
     multiplier, shift = compute_multiplier_and_shift(rescale_scale)
     attr_rescale = ts.TosaSerializerAttribute()
@@ -230,8 +234,8 @@ def build_rescale_from_int32(
     output_zp,
     rescale_scale,
     is_scale32=True,
-    is_double_round=True,
-) -> TosaSerializerTensor:
+    is_double_round=False,
+) -> None:
     multiplier, shift = compute_multiplier_and_shift(rescale_scale)
     attr_rescale_output = ts.TosaSerializerAttribute()
     attr_rescale_output.RescaleAttribute(
@@ -254,7 +258,7 @@ def build_rescale_from_int32(
 
 
 def rescale_nodes_to_int32(
-    nodes: list[Node], tosa_graph: ts.TosaSerializer
+    nodes: Sequence[Node], tosa_graph: ts.TosaSerializer
 ) -> tuple[list[TosaSerializerTensor], float]:
     """Rescales all 'nodes' to int32, adding suitable RESCALE ops to 'tosa_graph'.
     The scales are adjusted using the smallest scale of all 'nodes'.
@@ -329,9 +333,6 @@ def build_rescale_conv_output(
     output_scale,
     output_zp,
 ):
-    # Only use double round if we are doing 32 bit scaling
-    double_round = is_scale32(output_type)
-
     # TODO add check to verify if this is a Per-channel quantization.
     post_conv2d_scale = (input_scale.number * weight_scale.number) / output_scale.number
 
@@ -345,6 +346,5 @@ def build_rescale_conv_output(
         op.shape,
         0,
         output_zp.number,
-        double_round,
     )
     return
diff --git a/backends/arm/tosa_utils.py b/backends/arm/tosa_utils.py
index 4dc0204516..cfafac1676 100644
--- a/backends/arm/tosa_utils.py
+++ b/backends/arm/tosa_utils.py
@@ -3,9 +3,11 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import logging
 import os
-from typing import Dict
+from typing import Any, cast, Dict
 
 import numpy as np
 import serializer.tosa_serializer as ts
@@ -48,10 +50,10 @@ def dbg_node(node):
 
 
 # Output TOSA flatbuffer and test harness file
-def dbg_tosa_dump(tosa_graph, path):
-    filename = "output.tosa"
+def dbg_tosa_dump(tosa_graph: ts.TosaSerializer, path: str, suffix: str = ""):
+    filename = f"output{suffix}.tosa"
 
-    logger.info(f"Emitting debug output to {path}")
+    logger.info(f"Emitting debug output to: {path=}, {suffix=}")
 
     os.makedirs(path, exist_ok=True)
 
@@ -63,7 +65,7 @@ def dbg_tosa_dump(tosa_graph, path):
         f.write(fb)
     assert os.path.exists(filepath_tosa_fb), "Failed to write TOSA flatbuffer"
 
-    filepath_desc_json = os.path.join(path, "desc.json")
+    filepath_desc_json = os.path.join(path, f"desc{suffix}.json")
     with open(filepath_desc_json, "w") as f:
         f.write(js)
     assert os.path.exists(filepath_desc_json), "Failed to write TOSA JSON"
@@ -74,7 +76,7 @@ def dbg_fail(node, tosa_graph, path):
     logger.warn("Internal error due to poorly handled node:")
     dbg_node(node)
     logger.warn(f"Debug output captured in '{path}'.")
-    raise RuntimeError("TOSA Internal Error on node, enable logging for further info")
+    raise RuntimeError("TOSA Internal Error on node, enable logging for further info.")
 
 
 # Helper function to match TOSA's broadcasting rank requirement
@@ -235,7 +237,7 @@ def build_avg_pool_2d_common(
     output_zp = 0
 
     if is_quant_node:
-        input_zp = get_quant_node_args(node.args[0]).zp
+        input_zp = get_quant_node_args(cast(torch.fx.Node, node.args[0])).zp
         output_zp = get_quant_node_args(list(node.users)[0]).zp
 
     attr = ts.TosaSerializerAttribute()
@@ -306,7 +308,9 @@ def process_call_function(
     )
 
     # Visiting each Node
+    # pyre-ignore[16]: Undefined attribute.
     if node.target.__name__ in node_visitors:
+        # pyre-ignore[16]: Undefined attribute.
         node_visitors[node.target.__name__].define_node(
             node,
             tosa_graph,
@@ -316,3 +320,32 @@ def process_call_function(
         )
     else:
         raise RuntimeError(f"Unknown operator {node.target}")
+
+
+def expand_dims(
+    tosa_graph: ts.TosaSerializer,
+    input_node: TosaArg,
+    dtype: int,
+    dim: int,
+) -> Any:
+    """Inserts TOSA operators into the tosa_graph, that perform the equivalent
+    of the expand_dims (a.k.a unsqueeze) operation. A new axis is created at the
+    dim location.
+
+    Args:
+        tosa_graph (ts.TosaSerializer): The TOSA graph to manipulate.
+        input_node (TosaArg): The parent node of the expand dim operations.
+        dtype (ts.DType): The data type expand dims operations.
+        dim (int): The dimension to expand.
+
+    Returns:
+        Any: The output tensor of the inserted operation in the TOSA graph.
+    """
+    new_shape = list(input_node.shape)
+    new_shape.insert(dim, 1)
+
+    intermediate = tosa_graph.addIntermediate(new_shape, dtype)
+
+    build_reshape(tosa_graph, input_node.name, new_shape, intermediate.name)
+
+    return intermediate
diff --git a/backends/cadence/CMakeLists.txt b/backends/cadence/CMakeLists.txt
index 5ad0192d92..d786142f08 100644
--- a/backends/cadence/CMakeLists.txt
+++ b/backends/cadence/CMakeLists.txt
@@ -20,15 +20,64 @@ if(NOT EXECUTORCH_ROOT)
 endif()
 
 include(${EXECUTORCH_ROOT}/build/Utils.cmake)
+include(${EXECUTORCH_ROOT}/build/Codegen.cmake)
 
 # Let files say "include <executorch/path/to/header.h>".
 set(_common_include_directories ${EXECUTORCH_ROOT}/..)
 set(TARGET_DIR reference)
 
 if(EXECUTORCH_NNLIB_OPT)
-set(TARGET_DIR hifi)
-add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/${TARGET_DIR}/third-party/nnlib)  
+  set(TARGET_DIR hifi)
+  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/${TARGET_DIR}/third-party/nnlib)
 endif()
+set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
+
+# Source root directory for executorch.
+if(NOT EXECUTORCH_ROOT)
+  set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../..)
+endif()
+
+if(NOT PYTHON_EXECUTABLE)
+  resolve_python_executable()
+endif()
+
+set(_common_compile_options -Wno-deprecated-declarations -fPIC)
+
+# Find prebuilt libraries. executorch package should contain portable_ops_lib,
+# etdump, bundled_program.
+find_package(executorch CONFIG REQUIRED)
+target_link_options_shared_lib(executorch)
+target_link_options_shared_lib(portable_ops_lib)
+
+target_include_directories(executorch INTERFACE ${_common_include_directories})
+
+find_package(
+  gflags REQUIRED PATHS ${CMAKE_CURRENT_BINARY_DIR}/../../third-party
+)
+
+add_executable(cadence_runner cadence_runner/cadence_runner.cpp)
+target_compile_options(executorch INTERFACE -DET_EVENT_TRACER_ENABLED)
 
 add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/${TARGET_DIR}/operators)
 add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/${TARGET_DIR}/kernels)
+
+target_include_directories(
+  etdump INTERFACE ${CMAKE_CURRENT_BINARY_DIR}/../../sdk/include
+                   ${EXECUTORCH_ROOT}/third-party/flatcc/include
+)
+
+target_include_directories(
+  cadence_runner PUBLIC ${ROOT_DIR}/.. ${CMAKE_BINARY_DIR}
+                        ${_common_include_directories}
+)
+
+target_link_libraries(
+  cadence_runner
+  executorch
+  gflags
+  etdump
+  extension_data_loader
+  bundled_program
+  cadence_ops_lib
+  flatccrt
+)
diff --git a/backends/cadence/aot/TARGETS b/backends/cadence/aot/TARGETS
index 79646c1293..08093efe31 100644
--- a/backends/cadence/aot/TARGETS
+++ b/backends/cadence/aot/TARGETS
@@ -4,7 +4,13 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+load("@fbcode_macros//build_defs:export_files.bzl", "export_file")
 load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
+load(
+    "@fbsource//tools/build_defs:default_platform_defs.bzl",
+    "CXX",
+)
+load("@fbsource//xplat/executorch/codegen:codegen.bzl", "executorch_generated_lib")
 
 oncall("odai_jarvis")
 
@@ -53,3 +59,30 @@ python_library(
         "//executorch/exir/passes:spec_prop_pass",
     ],
 )
+
+python_library(
+    name = "ops_registrations",
+    srcs = [
+        "ops_registrations.py",
+    ],
+    deps = [
+        "fbcode//caffe2:torch",
+        "fbcode//executorch/backends/cadence/aot:utils",
+    ],
+)
+
+export_file(name = "functions.yaml")
+
+executorch_generated_lib(
+    name = "cadence_aot_lib",
+    custom_ops_yaml_target = "//executorch/kernels/portable:custom_ops.yaml",
+    functions_yaml_target = ":functions.yaml",
+    platforms = CXX,
+    visibility = ["PUBLIC"],
+    deps = [
+        "//executorch/backends/cadence/reference/kernels:cadence_kernels",
+        "//executorch/backends/cadence/reference/operators:cadence_cpu_ops",
+        "//executorch/kernels/portable:executorch_all_ops",
+        "//executorch/kernels/portable:operators",
+    ],
+)
diff --git a/backends/cadence/aot/compiler.py b/backends/cadence/aot/compiler.py
index 39511ae917..e1494f8d20 100644
--- a/backends/cadence/aot/compiler.py
+++ b/backends/cadence/aot/compiler.py
@@ -7,6 +7,7 @@
 # pyre-strict
 
 import logging
+from typing import Optional
 
 import torch
 
@@ -17,12 +18,13 @@
     ReplaceLogicalNotBooleanWhereWithWherePass,
     ReplacePT2DequantWithCadenceDequantPass,
     ReplacePT2QuantWithCadenceQuantPass,
+    ReplaceSafeSoftmaxWithSoftmax,
     ReplaceScalarTensorWithFullPass,
     ReplaceSqueezeAndUnsqueezeWithViewPass,
 )
 from executorch.backends.cadence.aot.quantizer.fusion_pass import QuantFusion
 from executorch.backends.cadence.aot.quantizer.quantizer import CadenceQuantizer
-from executorch.backends.cadence.aot.utils import model_is_quantized
+from executorch.backends.cadence.aot.utils import model_gm_has_SDPA, model_is_quantized
 from executorch.backends.transforms.decompose_sdpa import (
     DecomposeScaledDotProductAttention,
 )
@@ -36,25 +38,40 @@
 from torch.export.exported_program import ExportedProgram
 
 
-def quantize_pt2(
+# Note: this is not meant as a primary API since it can create inconsistencies
+# if the quantizer here is different from the quantizer used to convert. It is
+# however useful for unit tests to separate the converted model from the fused
+# model, to be able to get reference numerics.
+# If this does not apply, please use quantize_and_fuse_pt2 instead.
+def convert_pt2(
     model: torch.nn.Module,
     inputs: tuple[object, ...],
+    quantizer: CadenceQuantizer,
 ) -> torch.fx.GraphModule:
     """
-    Instantiate the CadenceQuantizer (PTQ), prepare, convert and fuse the model.
-    Returns a GraphModule with the quantized model.
+    Prepare and convert a model using the given quantizer.
+    The quantizer must be supplied and be the same as the one used to
+    fuse the model later, if applicable. If you do not expect that behavior,
+    please use quantize_and_fuse_pt2 instead, which will instantiate a
+    default quantizer for you if needed.
+    Returns a GraphModule with the converted model.
     """
-    # Quantizer
-    quantizer = CadenceQuantizer()
 
     # Export with dynamo
-    model_exp = capture_pre_autograd_graph(model, inputs)
+    model_gm = capture_pre_autograd_graph(model, inputs)
 
-    # Decompose SDPA
-    DecomposeScaledDotProductAttention(False)(model_exp)
+    if model_gm_has_SDPA(model_gm):  # pyre-fixme[6]
+        # Decompose SDPA
+        DecomposeScaledDotProductAttention(False)(model_gm)  # pyre-fixme[6]
+
+        # Swap _safe_softmax with _softmax (see https://github.com/pytorch/pytorch/pull/133882
+        # for details).
+        result = ReplaceSafeSoftmaxWithSoftmax()(model_gm)  # pyre-fixme[6]
+        assert result is not None
+        model_gm = result.graph_module
 
     # Prepare
-    prepared_model = prepare_pt2e(model_exp, quantizer)
+    prepared_model = prepare_pt2e(model_gm, quantizer)
 
     # Calibrate
     prepared_model(*inputs)
@@ -62,12 +79,54 @@ def quantize_pt2(
     # Convert
     converted_model = convert_pt2e(prepared_model)
 
+    return converted_model
+
+
+# Note: this is not meant as a primary API since it can create inconsistencies
+# if the quantizer here is different from the quantizer used to convert. It is
+# however useful for unit tests to separate the converted model from the fused
+# model, to be able to get reference numerics.
+# If this does not apply, please use quantize_and_fuse_pt2 instead.
+def fuse_pt2(
+    converted_graph_module: torch.fx.GraphModule,
+    quantizer: CadenceQuantizer,
+) -> torch.fx.GraphModule:
+    """
+    Fuse a converted graph module using the given quantizer.
+    The quantizer must be the same as the one used to convert the model.
+    If you do not expect that behavior, please use quantize_and_fuse_pt2 instead,
+    which will instantiate a default quantizer for you if needed.
+    Returns a GraphModule with the fused model.
+    """
     # Get patterns and apply fusion of dq -> op -> q to qop
     # pyre-ignore[16]: no attribute
     patterns = [q.pattern for q in quantizer.quantizers]
-    QuantFusion(patterns)(converted_model)
+    QuantFusion(patterns)(converted_graph_module)
 
-    return converted_model
+    return converted_graph_module
+
+
+# Note: this is the one-liner API to quantize and fuse a model.
+def quantize_pt2(
+    model: torch.nn.Module,
+    inputs: tuple[object, ...],
+    quantizer: Optional[CadenceQuantizer] = None,
+) -> torch.fx.GraphModule:
+    """
+    Prepare, convert and fuse the model using the given quantizer.
+    Returns a GraphModule with the quantized model.
+    """
+    # Quantizer
+    if not quantizer:
+        quantizer = CadenceQuantizer()
+
+    # Get converted graph module
+    converted_gm = convert_pt2(model, inputs, quantizer)
+
+    # Get fused model
+    fused_gm = fuse_pt2(converted_gm, quantizer)
+
+    return fused_gm
 
 
 # Export the model and lower it to an ExportedProgram (in aten IR)
diff --git a/backends/cadence/aot/export_example.py b/backends/cadence/aot/export_example.py
index c0e1727ec9..f7920f0b8f 100644
--- a/backends/cadence/aot/export_example.py
+++ b/backends/cadence/aot/export_example.py
@@ -7,17 +7,21 @@
 # Example script for exporting simple models to flatbuffer
 
 import logging
+import tempfile
 
 from executorch.backends.cadence.aot.ops_registrations import *  # noqa
-
 import os
 from typing import Any, Tuple
 
 from executorch.backends.cadence.aot.compiler import (
+    convert_pt2,
     export_to_cadence,
     export_to_edge,
     quantize_pt2,
 )
+from executorch.backends.cadence.aot.quantizer.quantizer import CadenceQuantizer
+from executorch.backends.cadence.runtime import runtime
+from executorch.backends.cadence.runtime.executor import BundledProgramManager
 from executorch.exir import ExecutorchProgramManager
 from torch import nn
 
@@ -44,23 +48,50 @@ def _save_pte_program(
         logging.error(f"Error while saving to {filename}: {e}")
 
 
+def _save_bpte_program(
+    buffer: bytes,
+    model_name: str,
+    output_dir: str = "",
+) -> None:
+    if model_name.endswith(".bpte"):
+        filename = model_name
+    else:
+        filename = os.path.join(output_dir, f"{model_name}.bpte")
+    try:
+        with open(filename, "wb") as f:
+            f.write(buffer)
+        logging.info(f"Saved exported program to {filename}")
+    except Exception as e:
+        logging.error(f"Error while saving to {output_dir}: {e}")
+
+
 def export_model(
     model: nn.Module,
     example_inputs: Tuple[Any, ...],
     file_name: str = "CadenceDemoModel",
 ):
+    # create work directory for outputs and model binary
+    working_dir = tempfile.mkdtemp(dir="/tmp")
+    logging.debug(f"Created work directory {working_dir}")
+
+    # convert the model (also called in quantize_pt2)
+    converted_model = convert_pt2(model, example_inputs, CadenceQuantizer())
+
+    # Get reference outputs from quantized_model
+    ref_outputs = converted_model(*example_inputs)
+
     # Quantize the model
     quantized_model = quantize_pt2(model, example_inputs)
 
-    # Get edge program
+    # Get edge program (also called in export_to_cadence)
     edge_prog_manager = export_to_edge(quantized_model, example_inputs)
 
     # Get edge program after Cadence specific passes
     cadence_prog_manager = export_to_cadence(quantized_model, example_inputs)
 
-    exec_prog = cadence_prog_manager.to_executorch()
+    exec_prog: ExecutorchProgramManager = cadence_prog_manager.to_executorch()
 
-    logging.info("Final exported graph:")
+    logging.info("Final exported graph:\n")
     exec_prog.exported_program().graph_module.graph.print_tabular()
 
     # Print some information to terminal
@@ -69,5 +100,28 @@ def export_model(
         cadence_prog_manager.exported_program().graph_module,
     )
 
-    # Save the program as (default name is CadenceDemoModel.pte)
-    _save_pte_program(exec_prog, file_name)
+    forward_test_data = BundledProgramManager.bundled_program_test_data_gen(
+        method="forward", inputs=example_inputs, expected_outputs=ref_outputs
+    )
+    bundled_program_manager = BundledProgramManager([forward_test_data])
+    buffer = bundled_program_manager._serialize(
+        exec_prog,
+        bundled_program_manager.get_method_test_suites(),
+        forward_test_data,
+    )
+    # Save the program as pte (default name is CadenceDemoModel.pte)
+    _save_pte_program(exec_prog, file_name, working_dir)
+    # Save the program as btpe (default name is CadenceDemoModel.bpte)
+    _save_bpte_program(buffer, file_name, working_dir)
+
+    logging.debug(
+        f"Executorch bundled program buffer saved to {file_name} is {len(buffer)} total bytes"
+    )
+
+    # TODO: move to test infra
+    runtime.run_and_compare(
+        executorch_prog=exec_prog,
+        inputs=example_inputs,
+        ref_outputs=ref_outputs,
+        working_dir=working_dir,
+    )
diff --git a/backends/cadence/aot/functions.yaml b/backends/cadence/aot/functions.yaml
index dbfe1e3639..71246df868 100644
--- a/backends/cadence/aot/functions.yaml
+++ b/backends/cadence/aot/functions.yaml
@@ -57,11 +57,26 @@
     - arg_meta: null
       kernel_name: torch::executor::embedding_out
 
+- op: empty.out
+  kernels:
+    - arg_meta: null
+      kernel_name: torch::executor::empty_out
+
+- op: expand_copy.out
+  kernels:
+    - arg_meta: null
+      kernel_name: torch::executor::expand_copy_out
+
 - op: full.out
   kernels:
     - arg_meta: null
       kernel_name: torch::executor::full_out
 
+- op: gelu.out
+  kernels:
+    - arg_meta: null
+      kernel_name: torch::executor::gelu_out
+
 - op: mean.out
   kernels:
     - arg_meta: null
@@ -145,12 +160,12 @@
     - arg_meta: null
       kernel_name: impl::reference::quantized_linear_out
 
-- func: cadence::quantized_relu.out(Tensor X, Tensor X_zero_point, *, Tensor(a!) out) -> Tensor(a!)
+- func: cadence::quantized_relu.out(Tensor X, Tensor X_zero_point, int out_zero_point, Tensor out_multiplier, Tensor out_shift, *, Tensor(a!) out) -> Tensor(a!)
   kernels:
     - arg_meta: null
       kernel_name: impl::reference::quantized_relu_out
 
-func: cadence::quantized_matmul.out(Tensor X, int X_zero_point, Tensor Y, int Y_zero_point, Tensor? bias, int out_multiplier, int out_shift, int out_zero_point, bool transposed, *, Tensor(a!) out) -> Tensor(a!)
+- func: cadence::quantized_matmul.out(Tensor X, int X_zero_point, Tensor Y, int Y_zero_point, Tensor? bias, int out_multiplier, int out_shift, int out_zero_point, bool transposed, *, Tensor(a!) out) -> Tensor(a!)
   kernels:
     - arg_meta: null
       kernel_name: impl::reference::quantized_matmul_out
diff --git a/backends/cadence/aot/ops_registrations.py b/backends/cadence/aot/ops_registrations.py
index adcf086873..e73de6ab7c 100644
--- a/backends/cadence/aot/ops_registrations.py
+++ b/backends/cadence/aot/ops_registrations.py
@@ -4,12 +4,13 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 from math import prod
 from typing import Optional, Tuple
 
 import torch
-from executorch.exir.scalar_type import ScalarType
-from torch.library import impl, Library
+from torch.library import Library, register_fake
 
 from .utils import get_conv1d_output_size, get_conv2d_output_size
 
@@ -43,9 +44,11 @@
     "quantized_linear.out(Tensor src, Tensor weight, Tensor bias, int src_zero_point, Tensor weight_zero_point, Tensor out_multiplier, Tensor out_shift, int out_zero_point, Tensor? offset, *, Tensor(a!) out) ->  Tensor(a!)"
 )
 
-lib.define("quantized_relu(Tensor X, Tensor X_zero_point) -> (Tensor Y)")
 lib.define(
-    "quantized_relu.out(Tensor X, Tensor X_zero_point, *, Tensor(a!) out) -> Tensor (a!)"
+    "quantized_relu(Tensor X, Tensor X_zero_point, int out_zero_point, Tensor out_multiplier, Tensor out_shift) -> (Tensor Y)"
+)
+lib.define(
+    "quantized_relu.out(Tensor X, Tensor X_zero_point, int out_zero_point, Tensor out_multiplier, Tensor out_shift, *, Tensor(a!) out) -> Tensor (a!)"
 )
 
 lib.define(
@@ -65,31 +68,31 @@
 m = Library("cadence", "IMPL", "Meta")
 
 
-@impl(m, "quantize_per_tensor")
+@register_fake("cadence::quantize_per_tensor")
 def quantize_per_tensor_meta(
     input: torch.Tensor,
     scale: float,
     zero_point: int,
     quant_min: int,
     quant_max: int,
-    dtype: ScalarType,
-):
+    dtype: torch.dtype,
+) -> torch.Tensor:
     return input.new_empty(input.size(), dtype=dtype)
 
 
-@impl(m, "dequantize_per_tensor")
+@register_fake("cadence::dequantize_per_tensor")
 def dequantize_per_tensor_meta(
     input: torch.Tensor,
     scale: float,
     zero_point: int,
     quant_min: int,
     quant_max: int,
-    dtype: ScalarType,
-):
+    dtype: torch.dtype,
+) -> torch.Tensor:
     return input.new_empty(input.size(), dtype=torch.float)
 
 
-@impl(m, "quantized_linear")
+@register_fake("cadence::quantized_linear")
 def quantized_linear_meta(
     src: torch.Tensor,
     weight: torch.Tensor,
@@ -100,7 +103,7 @@ def quantized_linear_meta(
     out_shift: torch.Tensor,
     out_zero_point: int,
     offset: Optional[torch.Tensor],
-):
+) -> torch.Tensor:
     # src comes in shape [leading_dims, in_dim]
     # weight comes in shape [out_dim, in_dim]
     # output comes in empty with shape [leading_dims, out_dim]
@@ -111,7 +114,7 @@ def quantized_linear_meta(
     return src.new_empty(out_size, dtype=torch.uint8)
 
 
-@impl(m, "quantized_conv")
+@register_fake("cadence::quantized_conv")
 def quantized_conv_meta(
     input: torch.Tensor,
     weight: torch.Tensor,
@@ -149,7 +152,7 @@ def quantized_conv_meta(
     return input.new_empty(output_size, dtype=input.dtype)
 
 
-@impl(m, "quantized_layer_norm")
+@register_fake("cadence::quantized_layer_norm")
 def quantized_layer_norm_meta(
     input: torch.Tensor,
     X_scale: torch.Tensor,
@@ -160,19 +163,22 @@ def quantized_layer_norm_meta(
     eps: float,
     output_scale: float,
     output_zero_point: int,
-):
+) -> torch.Tensor:
     return input.new_empty(input.size(), dtype=torch.uint8)
 
 
-@impl(m, "quantized_relu")
+@register_fake("cadence::quantized_relu")
 def quantized_relu_meta(
     X: torch.Tensor,
     X_zero_point: torch.Tensor,
-):
+    out_zero_point: int,
+    out_multiplier: torch.Tensor,
+    out_shift: torch.Tensor,
+) -> torch.Tensor:
     return X.new_empty(X.size(), dtype=torch.uint8)
 
 
-@impl(m, "quantized_matmul")
+@register_fake("cadence::quantized_matmul")
 def quantized_matmul_meta(
     X: torch.Tensor,
     X_zero_point: int,
diff --git a/backends/cadence/aot/passes.py b/backends/cadence/aot/passes.py
index db419bfb5e..83ef43d151 100644
--- a/backends/cadence/aot/passes.py
+++ b/backends/cadence/aot/passes.py
@@ -266,3 +266,29 @@ def call(self, graph_module: torch.fx.GraphModule) -> PassResult:
         result = SpecPropPass()(graph_module)
         assert result is not None
         return result
+
+
+class ReplaceSafeSoftmaxWithSoftmax(ExportPass):
+    """
+    Replace _safe_softmax with _softmax
+    """
+
+    def call_operator(
+        self,
+        op,  # pyre-ignore
+        args: tuple[Argument, ...],
+        kwargs: dict[str, Argument],
+        meta: NodeMetadata,
+    ) -> ProxyValue:
+        if op != torch.ops.aten._safe_softmax.default:
+            return super().call_operator(op, args, kwargs, meta)
+
+        # Add False for the half_to_float argument of softmax
+        softmax_args = list(args) + [False]
+
+        return super().call_operator(
+            torch.ops.aten._softmax.default,
+            tuple(softmax_args),
+            kwargs,
+            meta,
+        )
diff --git a/backends/cadence/aot/quantizer/fusion_pass.py b/backends/cadence/aot/quantizer/fusion_pass.py
index 4c43172a92..7c05e9b867 100644
--- a/backends/cadence/aot/quantizer/fusion_pass.py
+++ b/backends/cadence/aot/quantizer/fusion_pass.py
@@ -287,7 +287,15 @@ def get_args_and_kwargs_relu(
     graph_module: GraphModule,
     inputs_inputs: List[fx.Node],
     dequants_inputs: List[fx.Node],
+    quant_node: fx.Node,
 ) -> Tuple[Tuple[ArgsType], Dict[str, ArgsType]]:
+    input_scale = dequants_inputs[0].args[1]
+    # pyre-fixme[58]: Unsupported operand types
+    requantize_scale = input_scale / quant_node.args[1]
+    requantize_scale_t = torch.tensor([requantize_scale])
+
+    (out_multiplier, out_shift) = quantize_tensor_multiplier(requantize_scale_t)
+
     # Make the args and kwargs for the replacement op
     args = tuple(inputs_inputs)
 
@@ -296,9 +304,22 @@ def get_args_and_kwargs_relu(
         ([1], dequants_inputs[0].args[2]),
         {"dtype": torch.int32},
     )
+    out_multiplier_ = graph_module.graph.call_function(
+        torch.ops.aten.full.default,
+        ([1], out_multiplier[0].item()),
+        {"dtype": torch.int32},
+    )
+    out_shift_ = graph_module.graph.call_function(
+        torch.ops.aten.full.default,
+        ([1], out_shift[0].item()),
+        {"dtype": torch.int32},
+    )
 
     kwargs = {
         "X_zero_point": X_zero_point,
+        "out_zero_point": quant_node.args[2],
+        "out_multiplier": out_multiplier_,
+        "out_shift": out_shift_,
     }
     return args, kwargs
 
@@ -420,6 +441,7 @@ def call(self, graph_module: fx.GraphModule) -> PassResult:  # noqa: C901
                             graph_module,
                             inputs_inputs,
                             dequants_inputs,
+                            quant_node,
                         )
                     fused = graph_module.graph.call_function(
                         pattern.replacement_op(),
diff --git a/backends/cadence/aot/quantizer/patterns.py b/backends/cadence/aot/quantizer/patterns.py
index 7043bae571..c5eb3b964d 100644
--- a/backends/cadence/aot/quantizer/patterns.py
+++ b/backends/cadence/aot/quantizer/patterns.py
@@ -303,9 +303,7 @@ def get_anchors(
             inputs=[(relu_node, 0)],
             weights=[],
             biases=[],
-            output=[
-                (relu_node, SharedQuantizationSpec((relu_node.args[0], relu_node)))
-            ],
+            output=[(relu_node,)],
         )
 
     def replacement_op(self) -> OpOverload:
diff --git a/backends/cadence/aot/quantizer/utils.py b/backends/cadence/aot/quantizer/utils.py
index 2afe5aba32..0f9c939978 100644
--- a/backends/cadence/aot/quantizer/utils.py
+++ b/backends/cadence/aot/quantizer/utils.py
@@ -145,7 +145,7 @@ def get_aten_node_target_partitions(
     """
     Args:
         graph: The graph we want to partition
-        wanted_sources: List of orginal_aten ops (OpOverload)
+        wanted_original_aten_op: List of original_aten ops (OpOverload)
 
     Returns:
         Dictionary mapping aten ops that were given to a list of SourcePartitions
diff --git a/backends/cadence/aot/utils.py b/backends/cadence/aot/utils.py
index f0c294260a..f081036ccc 100644
--- a/backends/cadence/aot/utils.py
+++ b/backends/cadence/aot/utils.py
@@ -104,11 +104,11 @@ def get_ops_count(graph_module: torch.fx.GraphModule) -> Dict[str, int]:
             ):
                 continue
             # If the op is already present, increment the count
-            if get_edge_overload_packet(node.target).__name__ in freq:
-                freq[get_edge_overload_packet(node.target).__name__] += 1
+            if node.target._name in freq:
+                freq[node.target._name] += 1
             # else, add a new entry
             else:
-                freq[get_edge_overload_packet(node.target).__name__] = 1
+                freq[node.target._name] = 1
     return freq
 
 
@@ -177,3 +177,11 @@ def print_ops_info(
                 tablefmt="outline",
             )
         )
+
+
+def model_gm_has_SDPA(model_gm: torch.fx.GraphModule) -> bool:
+    for node in model_gm.graph.nodes:
+        if node.op == "call_function":
+            if node.target == torch.ops.aten.scaled_dot_product_attention.default:
+                return True
+    return False
diff --git a/backends/cadence/build_cadence_runner.sh b/backends/cadence/build_cadence_runner.sh
new file mode 100755
index 0000000000..693a320bdf
--- /dev/null
+++ b/backends/cadence/build_cadence_runner.sh
@@ -0,0 +1,57 @@
+#!/bin/bash
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# Builds cadence_runner and prints its path.
+
+set -euo pipefail
+
+SCRIPT_DIR="$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )"
+readonly SCRIPT_DIR
+
+readonly EXECUTORCH_ROOT="${SCRIPT_DIR}/../.."
+
+# Allow overriding the number of build jobs. Default to 9.
+export CMAKE_BUILD_PARALLEL_LEVEL="${CMAKE_BUILD_PARALLEL_LEVEL:-9}"
+
+main() {
+  cd "${EXECUTORCH_ROOT}"
+
+  rm -rf cmake-out
+  cmake -DCMAKE_INSTALL_PREFIX=cmake-out \
+    -DCMAKE_BUILD_TYPE=Release \
+    -DEXECUTORCH_BUILD_DEVTOOLS=ON \
+    -DEXECUTORCH_ENABLE_EVENT_TRACER=ON \
+    -DPYTHON_EXECUTABLE=python3 \
+    -DEXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL=ON \
+    -DEXECUTORCH_BUILD_HOST_TARGETS=ON \
+    -DEXECUTORCH_BUILD_EXECUTOR_RUNNER=OFF \
+    -DEXECUTORCH_BUILD_PTHREADPOOL=OFF \
+    -DEXECUTORCH_BUILD_CPUINFO=OFF \
+    -DEXECUTORCH_ENABLE_LOGGING=ON \
+    -Bcmake-out .
+  cmake --build cmake-out --target install --config Release
+
+  local example_dir=backends/cadence
+  local build_dir="cmake-out/${example_dir}"
+  local cmake_prefix_path="${PWD}/cmake-out/lib/cmake/ExecuTorch;${PWD}/cmake-out/third-party/gflags"
+  rm -rf ${build_dir}
+  cmake -DCMAKE_PREFIX_PATH="${cmake_prefix_path}" \
+    -DCMAKE_BUILD_TYPE=Release \
+    -B"${build_dir}" \
+    "${example_dir}"
+  cmake --build "${build_dir}" --config Release
+
+  local runner="${PWD}/${build_dir}/cadence_runner"
+  if [[ ! -f "${runner}" ]]; then
+    echo "ERROR: Failed to build ${build_dir}/cadence_runner" >&2
+    exit 1
+  else
+    echo "Built ${build_dir}/cadence_runner"
+  fi
+}
+
+main "$@"
diff --git a/backends/cadence/build_cadence_xtensa.sh b/backends/cadence/build_cadence_xtensa.sh
new file mode 100644
index 0000000000..f96436e65d
--- /dev/null
+++ b/backends/cadence/build_cadence_xtensa.sh
@@ -0,0 +1,88 @@
+#!/bin/bash
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+set -euo pipefail
+
+unset CMAKE_PREFIX_PATH
+git submodule sync
+git submodule update --init
+./install_requirements.sh
+
+rm -rf cmake-out
+
+STEPWISE_BUILD=false
+
+if $STEPWISE_BUILD; then
+    echo "Building ExecuTorch"
+    cmake -DCMAKE_INSTALL_PREFIX=cmake-out \
+        -DCMAKE_TOOLCHAIN_FILE=./backends/cadence/cadence.cmake  \
+        -DCMAKE_BUILD_TYPE=Release \
+        -DEXECUTORCH_ENABLE_EVENT_TRACER=OFF \
+        -DEXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL=ON \
+        -DEXECUTORCH_BUILD_EXECUTOR_RUNNER=OFF \
+        -DEXECUTORCH_BUILD_PTHREADPOOL=OFF \
+        -DEXECUTORCH_BUILD_CPUINFO=OFF \
+        -DEXECUTORCH_ENABLE_LOGGING=ON \
+        -DEXECUTORCH_USE_DL=OFF \
+        -DEXECUTORCH_BUILD_CADENCE=OFF \
+        -DFLATC_EXECUTABLE="$(which flatc)" \
+        -Bcmake-out .
+
+    echo "Building any Cadence-specific binaries on top"
+    cmake -DBUCK2="$BUCK" \
+        -DCMAKE_TOOLCHAIN_FILE=./backends/cadence/cadence.cmake \
+        -DCMAKE_INSTALL_PREFIX=cmake-out \
+        -DCMAKE_BUILD_TYPE=Release \
+        -DEXECUTORCH_BUILD_HOST_TARGETS=ON \
+        -DEXECUTORCH_BUILD_EXECUTOR_RUNNER=ON \
+        -DEXECUTORCH_BUILD_PTHREADPOOL=OFF \
+        -DEXECUTORCH_BUILD_CADENCE=ON \
+        -DFLATC_EXECUTABLE="$(which flatc)" \
+        -DEXECUTORCH_ENABLE_LOGGING=ON \
+        -DEXECUTORCH_ENABLE_PROGRAM_VERIFICATION=ON \
+        -DEXECUTORCH_USE_DL=OFF \
+        -DBUILD_EXECUTORCH_PORTABLE_OPS=ON \
+        -DEXECUTORCH_BUILD_KERNELS_CUSTOM=OFF \
+        -DPYTHON_EXECUTABLE=python3 \
+        -DEXECUTORCH_NNLIB_OPT=ON \
+        -DEXECUTORCH_BUILD_GFLAGS=ON \
+        -DHAVE_FNMATCH_H=OFF \
+        -Bcmake-out/backends/cadence \
+        backends/cadence
+    cmake --build cmake-out/backends/cadence  -j16
+else
+    echo "Building Cadence toolchain with ExecuTorch packages"
+    cmake_prefix_path="${PWD}/cmake-out/lib/cmake/ExecuTorch;${PWD}/cmake-out/third-party/gflags"
+    cmake -DBUCK2="$BUCK" \
+        -DCMAKE_PREFIX_PATH="${cmake_prefix_path}" \
+        -DCMAKE_TOOLCHAIN_FILE=./backends/cadence/cadence.cmake \
+        -DCMAKE_INSTALL_PREFIX=cmake-out \
+        -DCMAKE_BUILD_TYPE=Release \
+        -DEXECUTORCH_BUILD_HOST_TARGETS=ON \
+        -DEXECUTORCH_BUILD_EXECUTOR_RUNNER=ON \
+        -DEXECUTORCH_BUILD_PTHREADPOOL=OFF \
+        -DEXECUTORCH_BUILD_CADENCE=OFF \
+        -DFLATC_EXECUTABLE="$(which flatc)" \
+        -DEXECUTORCH_ENABLE_LOGGING=ON \
+        -DEXECUTORCH_ENABLE_PROGRAM_VERIFICATION=ON \
+        -DEXECUTORCH_USE_DL=OFF \
+        -DBUILD_EXECUTORCH_PORTABLE_OPS=ON \
+        -DEXECUTORCH_BUILD_KERNELS_CUSTOM=OFF \
+        -DPYTHON_EXECUTABLE=python3 \
+        -DEXECUTORCH_NNLIB_OPT=ON \
+        -DEXECUTORCH_BUILD_GFLAGS=ON \
+        -DHAVE_FNMATCH_H=OFF \
+        -DEXECUTORCH_ENABLE_EVENT_TRACER=OFF \
+        -DEXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL=ON \
+        -DEXECUTORCH_BUILD_CPUINFO=OFF \
+        -Bcmake-out
+    cmake --build cmake-out --target install --config Release -j16
+fi
+
+echo "Run simple model to verify cmake build"
+python3 -m examples.portable.scripts.export --model_name="add"
+xt-run --turbo cmake-out/executor_runner  --model_path=add.pte
diff --git a/backends/cadence/cadence_runner/TARGETS b/backends/cadence/cadence_runner/TARGETS
new file mode 100644
index 0000000000..21f36a9bae
--- /dev/null
+++ b/backends/cadence/cadence_runner/TARGETS
@@ -0,0 +1,8 @@
+# Any targets that should be shared between fbcode and xplat must be defined in
+# targets.bzl. This file can contain fbcode-only targets.
+
+load(":targets.bzl", "define_common_targets")
+
+oncall("odai_jarvis")
+
+define_common_targets()
diff --git a/backends/cadence/cadence_runner/cadence_runner.cpp b/backends/cadence/cadence_runner/cadence_runner.cpp
new file mode 100644
index 0000000000..a269ed5a8e
--- /dev/null
+++ b/backends/cadence/cadence_runner/cadence_runner.cpp
@@ -0,0 +1,298 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+/**
+ * @file
+ *
+ * This tool can run ExecuTorch model files that only use operators that
+ * are covered by the portable kernels, with possible delegate to the
+ * test_backend_compiler_lib.
+ *
+ * It sets all input tensor data to ones, and assumes that the outputs are
+ * all fp32 tensors.
+ */
+
+#include <fstream>
+#include <memory>
+
+#include <gflags/gflags.h>
+
+#include <executorch/devtools/bundled_program/bundled_program.h>
+#include <executorch/devtools/etdump/etdump_flatcc.h>
+#include <executorch/extension/data_loader/buffer_data_loader.h>
+#include <executorch/runtime/executor/method.h>
+#include <executorch/runtime/executor/program.h>
+#include <executorch/runtime/platform/log.h>
+#include <executorch/runtime/platform/runtime.h>
+
+static uint8_t method_allocator_pool[4 * 1024U * 1024U]; // 4MB
+
+DEFINE_string(
+    bundled_program_path,
+    "CadenceDemoModel.bpte",
+    "Model serialized in flatbuffer format.");
+
+DEFINE_int32(
+    testset_idx,
+    0,
+    "Index of bundled verification set to be run "
+    "by bundled model for verification");
+
+DEFINE_string(
+    etdump_path,
+    "etdump.etdp",
+    "If etdump generation is enabled an etdump will be written out to this path");
+
+DEFINE_bool(
+    output_verification,
+    false,
+    "Comapre the model output to the reference outputs present in the BundledProgram.");
+
+DEFINE_bool(
+    print_output,
+    false,
+    "Print the output of the ET model to stdout, if needs.");
+
+DEFINE_bool(dump_outputs, true, "Dump outputs to etdump file");
+
+DEFINE_bool(
+    dump_intermediate_outputs,
+    false,
+    "Dump intermediate outputs to etdump file.");
+
+DEFINE_string(
+    debug_output_path,
+    "debug_output.bin",
+    "Path to dump debug outputs to.");
+
+DEFINE_int32(
+    debug_buffer_size,
+    262144, // 256 KB
+    "Size of the debug buffer in bytes to allocate for intermediate outputs and program outputs logging.");
+
+using namespace torch::executor;
+
+std::vector<uint8_t> load_file_or_die(const char* path) {
+  std::ifstream file(path, std::ios::binary | std::ios::ate);
+  const size_t nbytes = file.tellg();
+  file.seekg(0, std::ios::beg);
+  auto file_data = std::vector<uint8_t>(nbytes);
+  ET_CHECK_MSG(
+      file.read(reinterpret_cast<char*>(file_data.data()), nbytes),
+      "Could not load contents of file '%s'",
+      path);
+  return file_data;
+}
+
+int main(int argc, char** argv) {
+  runtime_init();
+
+  gflags::ParseCommandLineFlags(&argc, &argv, true);
+  if (argc != 1) {
+    std::string msg = "Extra commandline args:";
+    for (int i = 1 /* skip argv[0] (program name) */; i < argc; i++) {
+      msg += std::string(" ") + argv[i];
+    }
+    ET_LOG(Error, "%s", msg.c_str());
+    return 1;
+  }
+
+  // Read in the entire file.
+  const char* bundled_program_path = FLAGS_bundled_program_path.c_str();
+  std::vector<uint8_t> file_data = load_file_or_die(bundled_program_path);
+
+  // Find the offset to the embedded Program.
+  const void* program_data;
+  size_t program_data_len;
+  Error status = torch::executor::bundled_program::GetProgramData(
+      reinterpret_cast<void*>(file_data.data()),
+      file_data.size(),
+      &program_data,
+      &program_data_len);
+  ET_CHECK_MSG(
+      status == Error::Ok,
+      "GetProgramData() failed on file '%s': 0x%x",
+      bundled_program_path,
+      (unsigned int)status);
+
+  auto buffer_data_loader =
+      util::BufferDataLoader(program_data, program_data_len);
+
+  // Parse the program file. This is immutable, and can also be reused
+  // between multiple execution invocations across multiple threads.
+  Result<Program> program = Program::load(&buffer_data_loader);
+  if (!program.ok()) {
+    ET_LOG(Error, "Failed to parse model file %s", bundled_program_path);
+    return 1;
+  }
+  ET_LOG(Info, "Model file %s is loaded.", bundled_program_path);
+
+  // Use the first method in the program.
+  const char* method_name = nullptr;
+  {
+    const auto method_name_result = program->get_method_name(0);
+    ET_CHECK_MSG(method_name_result.ok(), "Program has no methods");
+    method_name = *method_name_result;
+  }
+  ET_LOG(Info, "Running method %s", method_name);
+
+  // MethodMeta describes the memory requirements of the method.
+  Result<MethodMeta> method_meta = program->method_meta(method_name);
+  ET_CHECK_MSG(
+      method_meta.ok(),
+      "Failed to get method_meta for %s: 0x%x",
+      method_name,
+      (unsigned int)method_meta.error());
+
+  //
+  // The runtime does not use malloc/new; it allocates all memory using the
+  // MemoryManger provided by the client. Clients are responsible for allocating
+  // the memory ahead of time, or providing MemoryAllocator subclasses that can
+  // do it dynamically.
+  //
+
+  // The method allocator is used to allocate all dynamic C++ metadata/objects
+  // used to represent the loaded method. This allocator is only used during
+  // loading a method of the program, which will return an error if there was
+  // not enough memory.
+  //
+  // The amount of memory required depends on the loaded method and the runtime
+  // code itself. The amount of memory here is usually determined by running the
+  // method and seeing how much memory is actually used, though it's possible to
+  // subclass MemoryAllocator so that it calls malloc() under the hood (see
+  // MallocMemoryAllocator).
+  //
+  // In this example we use a statically allocated memory pool.
+  MemoryAllocator method_allocator{
+      MemoryAllocator(sizeof(method_allocator_pool), method_allocator_pool)};
+
+  // The memory-planned buffers will back the mutable tensors used by the
+  // method. The sizes of these buffers were determined ahead of time during the
+  // memory-planning pasees.
+  //
+  // Each buffer typically corresponds to a different hardware memory bank. Most
+  // mobile environments will only have a single buffer. Some embedded
+  // environments may have more than one for, e.g., slow/large DRAM and
+  // fast/small SRAM, or for memory associated with particular cores.
+  std::vector<std::unique_ptr<uint8_t[]>> planned_buffers; // Owns the memory
+  std::vector<Span<uint8_t>> planned_spans; // Passed to the allocator
+  size_t num_memory_planned_buffers = method_meta->num_memory_planned_buffers();
+  for (size_t id = 0; id < num_memory_planned_buffers; ++id) {
+    // .get() will always succeed because id < num_memory_planned_buffers.
+    size_t buffer_size =
+        static_cast<size_t>(method_meta->memory_planned_buffer_size(id).get());
+    ET_LOG(Info, "Setting up planned buffer %zu, size %zu.", id, buffer_size);
+    planned_buffers.push_back(std::make_unique<uint8_t[]>(buffer_size));
+    planned_spans.push_back({planned_buffers.back().get(), buffer_size});
+  }
+  HierarchicalAllocator planned_memory(
+      {planned_spans.data(), planned_spans.size()});
+
+  // Assemble all of the allocators into the MemoryManager that the Executor
+  // will use.
+  MemoryManager memory_manager(&method_allocator, &planned_memory);
+
+  //
+  // Load the method from the program, using the provided allocators. Running
+  // the method can mutate the memory-planned buffers, so the method should only
+  // be used by a single thread at at time, but it can be reused.
+  //
+  torch::executor::ETDumpGen etdump_gen = torch::executor::ETDumpGen();
+  Result<Method> method =
+      program->load_method(method_name, &memory_manager, &etdump_gen);
+  ET_CHECK_MSG(
+      method.ok(),
+      "Loading of method %s failed with status 0x%" PRIx32,
+      method_name,
+      method.error());
+  ET_LOG(Info, "Method loaded.");
+
+  void* debug_buffer = malloc(FLAGS_debug_buffer_size);
+  if (FLAGS_dump_intermediate_outputs) {
+    Span<uint8_t> buffer((uint8_t*)debug_buffer, FLAGS_debug_buffer_size);
+    etdump_gen.set_debug_buffer(buffer);
+    etdump_gen.set_event_tracer_debug_level(
+        EventTracerDebugLogLevel::kIntermediateOutputs);
+  } else if (FLAGS_dump_outputs) {
+    Span<uint8_t> buffer((uint8_t*)debug_buffer, FLAGS_debug_buffer_size);
+    etdump_gen.set_debug_buffer(buffer);
+    etdump_gen.set_event_tracer_debug_level(
+        EventTracerDebugLogLevel::kProgramOutputs);
+  }
+  // Use the inputs embedded in the bundled program.
+  status = torch::executor::bundled_program::LoadBundledInput(
+      *method, file_data.data(), FLAGS_testset_idx);
+  ET_CHECK_MSG(
+      status == Error::Ok,
+      "LoadBundledInput failed with status 0x%" PRIx32,
+      status);
+
+  ET_LOG(Info, "Inputs prepared.");
+
+  // Run the model.
+  status = method->execute();
+  ET_CHECK_MSG(
+      status == Error::Ok,
+      "Execution of method %s failed with status 0x%" PRIx32,
+      method_name,
+      status);
+  ET_LOG(Info, "Model executed successfully.");
+
+  // Print the outputs.
+  if (FLAGS_print_output) {
+    std::vector<EValue> outputs(method->outputs_size());
+    status = method->get_outputs(outputs.data(), outputs.size());
+    ET_CHECK(status == Error::Ok);
+    for (EValue& output : outputs) {
+      // TODO(T159700776): This assumes that all outputs are fp32 tensors. Add
+      // support for other EValues and Tensor dtypes, and print tensors in a
+      // more readable way.
+      auto output_tensor = output.toTensor();
+      auto data_output = output_tensor.const_data_ptr<float>();
+      for (size_t j = 0; j < output_tensor.numel(); ++j) {
+        ET_LOG(Info, "%f", data_output[j]);
+      }
+    }
+  }
+
+  // Dump the etdump data containing profiling/debugging data to the specified
+  // file.
+  etdump_result result = etdump_gen.get_etdump_data();
+  if (result.buf != nullptr && result.size > 0) {
+    FILE* f = fopen(FLAGS_etdump_path.c_str(), "w+");
+    fwrite((uint8_t*)result.buf, 1, result.size, f);
+    fclose(f);
+    free(result.buf);
+  }
+
+  if (FLAGS_output_verification) {
+    // Verify the outputs.
+    status =
+        torch::executor::bundled_program::VerifyResultWithBundledExpectedOutput(
+            *method,
+            file_data.data(),
+            FLAGS_testset_idx,
+            1e-3, // rtol
+            1e-5 // atol
+        );
+    ET_CHECK_MSG(
+        status == Error::Ok,
+        "Bundle verification failed with status 0x%" PRIx32,
+        status);
+    ET_LOG(Info, "Model verified successfully.");
+  }
+
+  if (FLAGS_dump_outputs || FLAGS_dump_intermediate_outputs) {
+    FILE* f = fopen(FLAGS_debug_output_path.c_str(), "w+");
+    fwrite((uint8_t*)debug_buffer, 1, FLAGS_debug_buffer_size, f);
+    fclose(f);
+  }
+  free(debug_buffer);
+
+  return 0;
+}
diff --git a/backends/cadence/cadence_runner/targets.bzl b/backends/cadence/cadence_runner/targets.bzl
new file mode 100644
index 0000000000..b59a98cd75
--- /dev/null
+++ b/backends/cadence/cadence_runner/targets.bzl
@@ -0,0 +1,29 @@
+load("@fbsource//tools/build_defs:fb_native_wrapper.bzl", "fb_native")
+load("@fbsource//tools/build_defs:fb_xplat_cxx_binary.bzl", "fb_xplat_cxx_binary")
+load("@fbsource//tools/build_defs:platform_defs.bzl", "CXX")
+
+def define_common_targets():
+    fb_native.export_file(
+        name = "cadence_runner.cpp",
+        src = "cadence_runner.cpp",
+        visibility = [
+            "PUBLIC",
+        ],
+    )
+
+    fb_xplat_cxx_binary(
+        name = "cadence_runner",
+        srcs = ["cadence_runner.cpp"],
+        headers = [],
+        platforms = CXX,
+        visibility = ["PUBLIC"],
+        deps = [
+            "fbsource//arvr/third-party/gflags:gflags",
+            "fbsource//xplat/executorch/devtools/etdump:etdump_flatcc",
+            "fbsource//xplat/executorch/devtools/bundled_program:runtime",
+            "fbsource//xplat/executorch/extension/data_loader:file_data_loader",
+            "fbsource//xplat/executorch/extension/data_loader:buffer_data_loader",
+            "fbsource//xplat/executorch/kernels/portable:generated_lib",
+            "fbsource//xplat/executorch/runtime/executor:program",
+        ],
+    )
diff --git a/backends/cadence/executor_runner.cpp b/backends/cadence/executor_runner.cpp
index 0769aeccb7..dd24105179 100644
--- a/backends/cadence/executor_runner.cpp
+++ b/backends/cadence/executor_runner.cpp
@@ -83,10 +83,10 @@ void et_pal_emit_log_message(
     et_timestamp_t timestamp,
     et_pal_log_level_t level,
     const char* filename,
-    __ET_UNUSED const char* function,
+    ET_UNUSED const char* function,
     size_t line,
     const char* message,
-    __ET_UNUSED size_t length) {
+    ET_UNUSED size_t length) {
   PRINTF("\r%s\n", message);
 }
 
diff --git a/backends/cadence/hifi/kernels/CMakeLists.txt b/backends/cadence/hifi/kernels/CMakeLists.txt
index e46aa745df..0ff3d1fde6 100644
--- a/backends/cadence/hifi/kernels/CMakeLists.txt
+++ b/backends/cadence/hifi/kernels/CMakeLists.txt
@@ -17,11 +17,12 @@ add_library(
 
 target_include_directories(
   cadence_kernels
-  PUBLIC .
-         ${EXECUTORCH_ROOT}/backends/cadence/hifi/third-party/nnlib/nnlib-hifi4/xa_nnlib/algo/common/include/
-         ${EXECUTORCH_ROOT}/backends/cadence/hifi/third-party/nnlib/nnlib-hifi4/xa_nnlib/include/nnlib
-         ${EXECUTORCH_ROOT}/backends/cadence/hifi/third-party/nnlib/nnlib-hifi4/xa_nnlib/include
-         ${EXECUTORCH_ROOT}/backends/cadence/hifi/third-party/nnlib/nnlib-hifi4/xa_nnlib/algo/ndsp/hifi4/include/
+  PUBLIC
+    .
+    ${EXECUTORCH_ROOT}/backends/cadence/hifi/third-party/nnlib/nnlib-hifi4/xa_nnlib/algo/common/include/
+    ${EXECUTORCH_ROOT}/backends/cadence/hifi/third-party/nnlib/nnlib-hifi4/xa_nnlib/include/nnlib
+    ${EXECUTORCH_ROOT}/backends/cadence/hifi/third-party/nnlib/nnlib-hifi4/xa_nnlib/include
+    ${EXECUTORCH_ROOT}/backends/cadence/hifi/third-party/nnlib/nnlib-hifi4/xa_nnlib/algo/ndsp/hifi4/include/
 )
 
 target_link_libraries(cadence_kernels PRIVATE xa_nnlib)
diff --git a/backends/cadence/hifi/kernels/TARGETS b/backends/cadence/hifi/kernels/TARGETS
new file mode 100644
index 0000000000..67f2bab681
--- /dev/null
+++ b/backends/cadence/hifi/kernels/TARGETS
@@ -0,0 +1,5 @@
+load("targets.bzl", "define_common_targets")
+
+oncall("odai_jarvis")
+
+define_common_targets()
diff --git a/backends/cadence/hifi/kernels/kernels.cpp b/backends/cadence/hifi/kernels/kernels.cpp
index 47a5c1cfc0..4d9183e4cc 100644
--- a/backends/cadence/hifi/kernels/kernels.cpp
+++ b/backends/cadence/hifi/kernels/kernels.cpp
@@ -6,9 +6,9 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-#include "kernels.h"
-#include "xa_nnlib_common.h"
-#include "xa_nnlib_common_macros.h"
+#include <executorch/backends/cadence/hifi/kernels/kernels.h>
+#include <xa_nnlib_common.h>
+#include <xa_nnlib_common_macros.h>
 
 namespace impl {
 namespace HiFi {
diff --git a/backends/cadence/hifi/kernels/kernels.h b/backends/cadence/hifi/kernels/kernels.h
index 209bc192c8..8faf06713b 100644
--- a/backends/cadence/hifi/kernels/kernels.h
+++ b/backends/cadence/hifi/kernels/kernels.h
@@ -8,9 +8,9 @@
 
 #pragma once
 
-#include "inttypes.h"
-#include "stddef.h"
-#include "xa_type_def.h"
+#include <inttypes.h>
+#include <stddef.h>
+#include <xa_type_def.h>
 
 /* For NNLIB APIs */
 #include "xa_nnlib_kernels_api.h"
diff --git a/backends/cadence/hifi/kernels/targets.bzl b/backends/cadence/hifi/kernels/targets.bzl
new file mode 100644
index 0000000000..acdc39dd16
--- /dev/null
+++ b/backends/cadence/hifi/kernels/targets.bzl
@@ -0,0 +1,18 @@
+load("@fbsource//tools/build_defs:platform_defs.bzl", "CXX")
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    runtime.cxx_library(
+        name = "kernels",
+        srcs = ["kernels.cpp"],
+        exported_headers = [
+            "kernels.h",
+        ],
+        visibility = [
+            "//executorch/backends/cadence/...",
+        ],
+        exported_deps = [
+            "fbsource//third-party/nnlib-hifi4/xa_nnlib:libxa_nnlib_common",
+        ],
+        platforms = CXX,
+    )
diff --git a/backends/cadence/hifi/operators/CMakeLists.txt b/backends/cadence/hifi/operators/CMakeLists.txt
index 74b64b18ff..d56d19fc37 100644
--- a/backends/cadence/hifi/operators/CMakeLists.txt
+++ b/backends/cadence/hifi/operators/CMakeLists.txt
@@ -53,18 +53,20 @@ target_link_libraries(aten_ops_cadence PRIVATE cadence_kernels)
 # Let files say "include <executorch/path/to/header.h>".
 set(_common_include_directories ${EXECUTORCH_ROOT}/..)
 
-target_include_directories(aten_ops_cadence PUBLIC ${ROOT_DIR}/..
-                                                ${CMAKE_BINARY_DIR}
-                                                ${_common_include_directories})
+target_include_directories(
+  aten_ops_cadence PUBLIC ${ROOT_DIR}/.. ${CMAKE_BINARY_DIR}
+                          ${_common_include_directories}
+)
 
 # Custom ops that are needed to run the test model.
 add_library(
-  custom_ops "quantized_linear_out.cpp"
-  "quantized_layer_norm.cpp"
-  "quantize_per_tensor.cpp" "dequantize_per_tensor.cpp")
-target_include_directories(custom_ops PUBLIC ${ROOT_DIR}/..
-                                             ${CMAKE_BINARY_DIR}
-                                             ${_common_include_directories})
+  custom_ops "quantized_linear_out.cpp" "quantized_layer_norm.cpp"
+             "quantize_per_tensor.cpp" "dequantize_per_tensor.cpp"
+)
+target_include_directories(
+  custom_ops PUBLIC ${ROOT_DIR}/.. ${CMAKE_BINARY_DIR}
+                    ${_common_include_directories}
+)
 
 target_link_libraries(custom_ops PUBLIC executorch)
 target_link_libraries(custom_ops PRIVATE cadence_kernels)
@@ -76,12 +78,11 @@ gen_selected_ops(
   "${CMAKE_CURRENT_LIST_DIR}/../../aot/functions_hifi.yaml" "" ""
 )
 generate_bindings_for_kernels(
-  LIB_NAME "cadence_ops_lib" OPS_SCHEMA_YAML
-  FUNCTIONS_YAML ${CMAKE_CURRENT_SOURCE_DIR}/../../aot/functions_hifi.yaml
+  LIB_NAME "cadence_ops_lib" OPS_SCHEMA_YAML FUNCTIONS_YAML
+  ${CMAKE_CURRENT_SOURCE_DIR}/../../aot/functions_hifi.yaml
 )
 message("Generated files ${gen_command_sources}")
 
 gen_operators_lib(
-  LIB_NAME "cadence_ops_lib"
-  KERNEL_LIBS custom_ops
-  DEPS aten_ops_cadence)
+  LIB_NAME "cadence_ops_lib" KERNEL_LIBS custom_ops DEPS aten_ops_cadence
+)
diff --git a/backends/cadence/hifi/operators/TARGETS b/backends/cadence/hifi/operators/TARGETS
new file mode 100644
index 0000000000..67f2bab681
--- /dev/null
+++ b/backends/cadence/hifi/operators/TARGETS
@@ -0,0 +1,5 @@
+load("targets.bzl", "define_common_targets")
+
+oncall("odai_jarvis")
+
+define_common_targets()
diff --git a/backends/cadence/hifi/operators/dequantize_per_tensor.cpp b/backends/cadence/hifi/operators/dequantize_per_tensor.cpp
index 8a296307ee..79645f5381 100644
--- a/backends/cadence/hifi/operators/dequantize_per_tensor.cpp
+++ b/backends/cadence/hifi/operators/dequantize_per_tensor.cpp
@@ -6,19 +6,20 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#include <executorch/backends/cadence/hifi/kernels/kernels.h>
 #include <executorch/runtime/kernel/kernel_includes.h>
-#include "kernels.h"
+#include <xa_nnlib_kernels_api.h>
 
 namespace impl {
 namespace HiFi {
 namespace native {
 
 using Tensor = exec_aten::Tensor;
-using RuntimeContext = torch::executor::RuntimeContext;
+using executorch::runtime::KernelRuntimeContext;
 using ScalarType = exec_aten::ScalarType;
 
 void dequantize_per_tensor_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& input,
     double scale,
     int64_t zero_point,
diff --git a/backends/cadence/hifi/operators/quantize_per_tensor.cpp b/backends/cadence/hifi/operators/quantize_per_tensor.cpp
index aea6c1b943..e280f6bcff 100644
--- a/backends/cadence/hifi/operators/quantize_per_tensor.cpp
+++ b/backends/cadence/hifi/operators/quantize_per_tensor.cpp
@@ -6,21 +6,22 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#include <executorch/backends/cadence/hifi/kernels/kernels.h>
 #include <executorch/runtime/kernel/kernel_includes.h>
-#include "kernels.h"
+#include <xa_nnlib_kernels_api.h>
 
 namespace impl {
 namespace HiFi {
 namespace native {
 
 using Tensor = exec_aten::Tensor;
-using RuntimeContext = torch::executor::RuntimeContext;
+using executorch::runtime::KernelRuntimeContext;
 using ScalarType = exec_aten::ScalarType;
 
 // Quantize the input tensor (PT2 version). Note that quant_<min,max> are not
 // used in any computation.
 void quantize_per_tensor_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& input,
     double scale,
     int64_t zero_point,
diff --git a/backends/cadence/hifi/operators/quantized_layer_norm.cpp b/backends/cadence/hifi/operators/quantized_layer_norm.cpp
index 27d86e5622..3974d6ee5e 100644
--- a/backends/cadence/hifi/operators/quantized_layer_norm.cpp
+++ b/backends/cadence/hifi/operators/quantized_layer_norm.cpp
@@ -6,15 +6,14 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#include <executorch/backends/cadence/hifi/kernels/kernels.h>
 #include <executorch/runtime/kernel/kernel_includes.h>
-#include "kernels.h"
-
 #include <algorithm>
 #include <cmath>
 #include <tuple>
 
 using Tensor = exec_aten::Tensor;
-using RuntimeContext = torch::executor::RuntimeContext;
+using executorch::runtime::KernelRuntimeContext;
 
 namespace impl {
 namespace HiFi {
@@ -76,9 +75,11 @@ void quantized_layer_norm_(
     for (size_t j = 0; j < last_dim; ++j) {
       // Since X is quantized, we dequantize it, compute fp32 result, and
       // quantize the result to an int8/uint8 value.
-      float val = kernels::dequantize<T>(x[j], input_scale, input_zero_point);
+      float val = impl::HiFi::kernels::dequantize<T>(
+          x[j], input_scale, input_zero_point);
       val = (val - mean) * inv_std * weight_data[j] + bias_data[j];
-      y[j] = kernels::quantize<T>(val, output_inv_scale, output_zero_point);
+      y[j] = impl::HiFi::kernels::quantize<T>(
+          val, output_inv_scale, output_zero_point);
     }
   }
 }
@@ -114,7 +115,7 @@ void quantized_layer_norm_(
 }
 
 void quantized_layer_norm_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& input,
     const Tensor& in_scale,
     const Tensor& in_zero_point,
diff --git a/backends/cadence/hifi/operators/quantized_linear_out.cpp b/backends/cadence/hifi/operators/quantized_linear_out.cpp
index 2fdd900008..fb186abbb1 100644
--- a/backends/cadence/hifi/operators/quantized_linear_out.cpp
+++ b/backends/cadence/hifi/operators/quantized_linear_out.cpp
@@ -6,8 +6,7 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-#include "kernels.h"
-
+#include <executorch/backends/cadence/hifi/kernels/kernels.h>
 #include <executorch/runtime/kernel/kernel_includes.h>
 #include <algorithm>
 #include <cmath>
@@ -17,10 +16,10 @@ namespace HiFi {
 namespace native {
 
 using Tensor = exec_aten::Tensor;
-using RuntimeContext = torch::executor::RuntimeContext;
+using executorch::runtime::KernelRuntimeContext;
 
 void quantized_linear_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& src,
     const Tensor& weight,
     const Tensor& bias,
diff --git a/backends/cadence/hifi/operators/targets.bzl b/backends/cadence/hifi/operators/targets.bzl
new file mode 100644
index 0000000000..c7b24d790f
--- /dev/null
+++ b/backends/cadence/hifi/operators/targets.bzl
@@ -0,0 +1,30 @@
+load("@fbsource//tools/build_defs:platform_defs.bzl", "CXX")
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+
+    # Define build targets for all operators registered in the tables above.
+
+    runtime.cxx_library(
+        name = "cadence_hifi_ops",
+        srcs = glob([
+            "*.cpp",
+        ]),
+        platforms = CXX,
+        deps = [
+            "//executorch/kernels/portable/cpu/util:broadcast_util",
+            "//executorch/runtime/kernel:kernel_includes",
+            "//executorch/kernels/portable/cpu:scalar_utils",
+            "fbsource//third-party/nnlib-hifi4/xa_nnlib:libxa_nnlib",
+            "fbsource//third-party/nnlib-hifi4/xa_nnlib:libxa_nnlib_common",
+            "//executorch/backends/cadence/hifi/kernels:kernels",
+        ],
+        visibility = [
+            "//executorch/backends/cadence/...",
+        ],
+    )
diff --git a/backends/cadence/hifi/third-party/nnlib/CMakeLists.txt b/backends/cadence/hifi/third-party/nnlib/CMakeLists.txt
index e93e0759d2..90eca6b47e 100644
--- a/backends/cadence/hifi/third-party/nnlib/CMakeLists.txt
+++ b/backends/cadence/hifi/third-party/nnlib/CMakeLists.txt
@@ -1,30 +1,19 @@
-
 cmake_minimum_required(VERSION 3.10.0)
 project(cadence_nnlib)
 
-        
-add_custom_target( nnlib_target ALL COMMAND 
-                    make install_nnlib -f makefile -C ${EXECUTORCH_ROOT}/backends/cadence/hifi/third-party/nnlib/nnlib-hifi4/xa_nnlib/build 
-                    OBJDIR=${CMAKE_CURRENT_BINARY_DIR}/obj 
-                    LIBDIR=${CMAKE_CURRENT_BINARY_DIR}/lib 
-                    -j8 )
+add_custom_target(
+  nnlib_target ALL
+  COMMAND
+    make install_nnlib -f makefile -C
+    ${EXECUTORCH_ROOT}/backends/cadence/hifi/third-party/nnlib/nnlib-hifi4/xa_nnlib/build
+    OBJDIR=${CMAKE_CURRENT_BINARY_DIR}/obj
+    LIBDIR=${CMAKE_CURRENT_BINARY_DIR}/lib -j8
+)
 
 add_library(xa_nnlib STATIC IMPORTED GLOBAL)
 add_dependencies(xa_nnlib nnlib_target)
 
 set_property(
-  TARGET xa_nnlib
-  PROPERTY 
-  IMPORTED_LOCATION "${CMAKE_CURRENT_BINARY_DIR}/lib/xa_nnlib.a"
+  TARGET xa_nnlib PROPERTY IMPORTED_LOCATION
+                           "${CMAKE_CURRENT_BINARY_DIR}/lib/xa_nnlib.a"
 )
-
-
-
-
-
-
-
-
-
-
-
diff --git a/backends/cadence/reference/kernels/CMakeLists.txt b/backends/cadence/reference/kernels/CMakeLists.txt
index eadb01f54d..fba66e9b27 100644
--- a/backends/cadence/reference/kernels/CMakeLists.txt
+++ b/backends/cadence/reference/kernels/CMakeLists.txt
@@ -5,12 +5,6 @@
 # LICENSE file in the root directory of this source tree.
 
 # lint_cmake: -linelength
-add_library(
-  cadence_kernels
-  kernels.cpp
-)
+add_library(cadence_kernels kernels.cpp)
 
-target_include_directories(
-  cadence_kernels
-  PUBLIC .
-)
+target_include_directories(cadence_kernels PUBLIC .)
diff --git a/backends/cadence/reference/kernels/TARGETS b/backends/cadence/reference/kernels/TARGETS
new file mode 100644
index 0000000000..67f2bab681
--- /dev/null
+++ b/backends/cadence/reference/kernels/TARGETS
@@ -0,0 +1,5 @@
+load("targets.bzl", "define_common_targets")
+
+oncall("odai_jarvis")
+
+define_common_targets()
diff --git a/backends/cadence/reference/kernels/kernels.cpp b/backends/cadence/reference/kernels/kernels.cpp
index 735d390bc7..ae3e1bad2d 100644
--- a/backends/cadence/reference/kernels/kernels.cpp
+++ b/backends/cadence/reference/kernels/kernels.cpp
@@ -6,10 +6,10 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-#include "kernels.h"
-
+#include <math.h>
 #include <algorithm>
-#include <limits>
+#include <cstring>
+#include <numeric>
 
 namespace impl {
 namespace reference {
diff --git a/backends/cadence/reference/kernels/targets.bzl b/backends/cadence/reference/kernels/targets.bzl
new file mode 100644
index 0000000000..d3fe3fa39d
--- /dev/null
+++ b/backends/cadence/reference/kernels/targets.bzl
@@ -0,0 +1,15 @@
+load("@fbsource//tools/build_defs:platform_defs.bzl", "CXX")
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    runtime.cxx_library(
+        name = "cadence_kernels",
+        srcs = ["kernels.cpp"],
+        exported_headers = [
+            "kernels.h",
+        ],
+        visibility = [
+            "//executorch/backends/cadence/...",
+        ],
+        platforms = CXX,
+    )
diff --git a/backends/cadence/reference/operators/CMakeLists.txt b/backends/cadence/reference/operators/CMakeLists.txt
index c81e934850..605c43ef71 100644
--- a/backends/cadence/reference/operators/CMakeLists.txt
+++ b/backends/cadence/reference/operators/CMakeLists.txt
@@ -47,7 +47,11 @@ set(_aten_ops__srcs
     "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_split_with_sizes_copy.cpp"
     "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_sub.cpp"
     "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_to_copy.cpp"
-    "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_where.cpp")
+    "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_where.cpp"
+    "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_expand_copy.cpp"
+    "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_gelu.cpp"
+    "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_empty.cpp"
+)
 add_library(aten_ops_cadence ${_aten_ops__srcs})
 target_link_libraries(aten_ops_cadence PUBLIC executorch)
 target_link_libraries(aten_ops_cadence PRIVATE cadence_kernels)
@@ -55,19 +59,26 @@ target_link_libraries(aten_ops_cadence PRIVATE cadence_kernels)
 # Let files say "include <executorch/path/to/header.h>".
 set(_common_include_directories ${EXECUTORCH_ROOT}/..)
 
-target_include_directories(aten_ops_cadence PUBLIC ${ROOT_DIR}/..
-                                                ${CMAKE_BINARY_DIR}
-                                                ${_common_include_directories})
+target_include_directories(
+  aten_ops_cadence PUBLIC ${ROOT_DIR}/.. ${CMAKE_BINARY_DIR}
+                          ${_common_include_directories}
+)
 
 # Custom ops that are needed to run the test model.
 add_library(
-  custom_ops "quantized_linear_out.cpp" "quantized_conv_out.cpp"
-  "quantized_relu_out.cpp" "quantized_layer_norm.cpp"
-  "quantize_per_tensor.cpp" "dequantize_per_tensor.cpp"
-  "quantized_matmul_out.cpp")
-target_include_directories(custom_ops PUBLIC ${ROOT_DIR}/..
-                                             ${CMAKE_BINARY_DIR}
-                                             ${_common_include_directories})
+  custom_ops
+  "quantized_linear_out.cpp"
+  "quantized_conv_out.cpp"
+  "quantized_relu_out.cpp"
+  "quantized_layer_norm.cpp"
+  "quantize_per_tensor.cpp"
+  "dequantize_per_tensor.cpp"
+  "quantized_matmul_out.cpp"
+)
+target_include_directories(
+  custom_ops PUBLIC ${ROOT_DIR}/.. ${CMAKE_BINARY_DIR}
+                    ${_common_include_directories}
+)
 
 target_link_libraries(custom_ops PUBLIC executorch)
 target_link_libraries(custom_ops PRIVATE cadence_kernels)
@@ -79,12 +90,11 @@ gen_selected_ops(
   "${CMAKE_CURRENT_LIST_DIR}/../../aot/functions.yaml" "" ""
 )
 generate_bindings_for_kernels(
-  LIB_NAME "cadence_ops_lib" OPS_SCHEMA_YAML
-  FUNCTIONS_YAML ${CMAKE_CURRENT_SOURCE_DIR}/../../aot/functions.yaml
+  LIB_NAME "cadence_ops_lib" OPS_SCHEMA_YAML FUNCTIONS_YAML
+  ${CMAKE_CURRENT_SOURCE_DIR}/../../aot/functions.yaml
 )
-message("Generated files ${gen_command_sources}")
+message("Generated cadence x86 files ${gen_command_sources}")
 
 gen_operators_lib(
-  LIB_NAME "cadence_ops_lib"
-  KERNEL_LIBS custom_ops
-  DEPS aten_ops_cadence)
+  LIB_NAME "cadence_ops_lib" KERNEL_LIBS custom_ops DEPS aten_ops_cadence
+)
diff --git a/backends/cadence/reference/operators/TARGETS b/backends/cadence/reference/operators/TARGETS
new file mode 100644
index 0000000000..67f2bab681
--- /dev/null
+++ b/backends/cadence/reference/operators/TARGETS
@@ -0,0 +1,5 @@
+load("targets.bzl", "define_common_targets")
+
+oncall("odai_jarvis")
+
+define_common_targets()
diff --git a/backends/cadence/reference/operators/dequantize_per_tensor.cpp b/backends/cadence/reference/operators/dequantize_per_tensor.cpp
index 4d6a618034..9c6cf6ecc5 100644
--- a/backends/cadence/reference/operators/dequantize_per_tensor.cpp
+++ b/backends/cadence/reference/operators/dequantize_per_tensor.cpp
@@ -6,19 +6,19 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#include <executorch/backends/cadence/reference/kernels/kernels.h>
 #include <executorch/runtime/kernel/kernel_includes.h>
-#include "kernels.h"
 
 namespace impl {
 namespace reference {
 namespace native {
 
 using Tensor = exec_aten::Tensor;
-using RuntimeContext = torch::executor::RuntimeContext;
+using executorch::runtime::KernelRuntimeContext;
 using ScalarType = exec_aten::ScalarType;
 
 void dequantize_per_tensor_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& input,
     double scale,
     int64_t zero_point,
diff --git a/backends/cadence/reference/operators/op_add.cpp b/backends/cadence/reference/operators/op_add.cpp
index 946a1ee858..89b6746760 100644
--- a/backends/cadence/reference/operators/op_add.cpp
+++ b/backends/cadence/reference/operators/op_add.cpp
@@ -8,7 +8,6 @@
 
 #include <executorch/kernels/portable/cpu/scalar_utils.h>
 #include <executorch/kernels/portable/cpu/util/broadcast_util.h>
-#include <executorch/kernels/portable/cpu/util/functional_util.h>
 #include <executorch/runtime/kernel/kernel_includes.h>
 #include <executorch/runtime/platform/assert.h>
 
@@ -17,7 +16,7 @@ namespace executor {
 namespace native {
 
 Tensor& add_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     const Scalar& alpha,
diff --git a/backends/cadence/reference/operators/op_embedding.cpp b/backends/cadence/reference/operators/op_embedding.cpp
index f0b625c963..e1e4984b56 100644
--- a/backends/cadence/reference/operators/op_embedding.cpp
+++ b/backends/cadence/reference/operators/op_embedding.cpp
@@ -13,10 +13,10 @@ namespace executor {
 namespace native {
 
 using Tensor = exec_aten::Tensor;
-using RuntimeContext = torch::executor::RuntimeContext;
+using executorch::runtime::KernelRuntimeContext;
 
 void embedding_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& weight,
     const Tensor& indices,
     int64_t padding_idx,
diff --git a/backends/cadence/reference/operators/op_full.cpp b/backends/cadence/reference/operators/op_full.cpp
index 75d1d51901..00be188965 100644
--- a/backends/cadence/reference/operators/op_full.cpp
+++ b/backends/cadence/reference/operators/op_full.cpp
@@ -17,7 +17,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& full_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const IntArrayRef sizes,
     const Scalar& fill_value,
     Tensor& out) {
diff --git a/backends/cadence/reference/operators/op_view_copy.cpp b/backends/cadence/reference/operators/op_view_copy.cpp
index a363125c37..ac0a859849 100644
--- a/backends/cadence/reference/operators/op_view_copy.cpp
+++ b/backends/cadence/reference/operators/op_view_copy.cpp
@@ -13,10 +13,10 @@ namespace executor {
 namespace native {
 
 using Tensor = exec_aten::Tensor;
-using RuntimeContext = torch::executor::RuntimeContext;
+using executorch::runtime::KernelRuntimeContext;
 
 Tensor& view_copy_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& input,
     const IntArrayRef size,
     Tensor& out) {
diff --git a/backends/cadence/reference/operators/quantize_per_tensor.cpp b/backends/cadence/reference/operators/quantize_per_tensor.cpp
index 8e25b58a07..bc200fd376 100644
--- a/backends/cadence/reference/operators/quantize_per_tensor.cpp
+++ b/backends/cadence/reference/operators/quantize_per_tensor.cpp
@@ -6,21 +6,21 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#include <executorch/backends/cadence/reference/kernels/kernels.h>
 #include <executorch/runtime/kernel/kernel_includes.h>
-#include "kernels.h"
 
 namespace impl {
 namespace reference {
 namespace native {
 
 using Tensor = exec_aten::Tensor;
-using RuntimeContext = torch::executor::RuntimeContext;
+using executorch::runtime::KernelRuntimeContext;
 using ScalarType = exec_aten::ScalarType;
 
 // Quantize the input tensor (PT2 version). Note that quant_<min,max> are not
 // used in any computation.
 void quantize_per_tensor_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& input,
     double scale,
     int64_t zero_point,
diff --git a/backends/cadence/reference/operators/quantized_conv_out.cpp b/backends/cadence/reference/operators/quantized_conv_out.cpp
index 95236b4397..47234a7cd9 100644
--- a/backends/cadence/reference/operators/quantized_conv_out.cpp
+++ b/backends/cadence/reference/operators/quantized_conv_out.cpp
@@ -6,7 +6,7 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-#include "kernels.h"
+#include <executorch/backends/cadence/reference/kernels/kernels.h>
 
 #include <executorch/runtime/kernel/kernel_includes.h>
 #include <algorithm>
@@ -17,7 +17,7 @@ namespace reference {
 namespace native {
 
 using Tensor = exec_aten::Tensor;
-using RuntimeContext = torch::executor::RuntimeContext;
+using executorch::runtime::KernelRuntimeContext;
 
 // This implements a generic 2d conv kernel that operates on raw pointers.
 // The version handles both quantized and fp32 convolutions.
@@ -156,7 +156,7 @@ __attribute__((noinline)) void conv2d_nchw_core_generic(
 // quantized::conv1d or quantized::conv2d based on the dimensionality of
 // activation tensor.
 void quantized_conv_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& input,
     const Tensor& weight,
     const Tensor& bias,
diff --git a/backends/cadence/reference/operators/quantized_layer_norm.cpp b/backends/cadence/reference/operators/quantized_layer_norm.cpp
index 22075f632e..a2dd644a97 100644
--- a/backends/cadence/reference/operators/quantized_layer_norm.cpp
+++ b/backends/cadence/reference/operators/quantized_layer_norm.cpp
@@ -6,15 +6,15 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#include <executorch/backends/cadence/reference/kernels/kernels.h>
 #include <executorch/runtime/kernel/kernel_includes.h>
-#include "kernels.h"
 
 #include <algorithm>
 #include <cmath>
 #include <tuple>
 
 using Tensor = exec_aten::Tensor;
-using RuntimeContext = torch::executor::RuntimeContext;
+using executorch::runtime::KernelRuntimeContext;
 
 namespace impl {
 namespace reference {
@@ -25,7 +25,7 @@ namespace native {
 template <typename T>
 void quantized_layer_norm_(
     const Tensor& input,
-    float input_scale,
+    double input_scale,
     int64_t input_zero_point,
     const Tensor& weight,
     const Tensor& bias,
@@ -39,7 +39,7 @@ void quantized_layer_norm_(
   const float* __restrict__ weight_data = weight.const_data_ptr<float>();
   const float* __restrict__ bias_data = bias.const_data_ptr<float>();
 
-  float output_inv_scale = XT_RECIP_S(output_scale);
+  float output_inv_scale = 1.0f / output_scale;
 
   size_t last_dim = input.size(input.dim() - 1);
   size_t leading_dims = getLeadingDims(input, input.dim() - 1);
@@ -47,15 +47,14 @@ void quantized_layer_norm_(
   // Visualize the input tensor as a set of 1d vectors, and compute the
   // layer_norm for each vector.
   for (size_t i = 0; i < leading_dims; ++i) {
-    const T* __restrict__ x = in_data + i * last_dim;
-    T* __restrict__ y = out_data + i * last_dim;
+    const T* x = in_data + i * last_dim;
+    T* y = out_data + i * last_dim;
 
     // compute sum and squared sum. The fp32 sum can be approximated as:
     // (X_1 - in_zero_point) * in_scale + (X_2 - in_zero_point) * in_scale + ...
     // (X_N - in_zero_point) * in_scale.
     int32_t sum = 0;
     int32_t sq_sum = last_dim * input_zero_point * input_zero_point;
-#pragma simd
     for (size_t j = 0; j < last_dim; ++j) {
       int32_t val = x[j];
       sum += val;
@@ -64,19 +63,18 @@ void quantized_layer_norm_(
     sq_sum -= (2 * sum * input_zero_point);
     sum -= (last_dim * input_zero_point);
 
-    float mean = XT_DIV_S(XT_MUL_S(input_scale, sum), last_dim);
+    float mean = (input_scale * sum) / last_dim;
     float variance =
-        XT_DIV_S(
-            XT_MUL_S(sq_sum, XT_MUL_S(input_scale, input_scale)), last_dim) -
-        XT_MUL_S(mean, mean);
-    float inv_std = XT_RECIP_S(XT_SQRT_S(XT_ADD_S(variance, (float)eps)));
+        (sq_sum * input_scale * input_scale) / last_dim - mean * mean;
+    float inv_std = 1.0f / std::sqrt(variance + eps);
 
     // y = (x - mean) / std * kGamma + kBeta
-#pragma simd
-    for (size_t j = 0; j < last_dim; ++j) {
+    for (int j = 0; j < last_dim; ++j) {
+      // y[j] = (x[j] - mean) / std * kGamma + kBeta;
       // Since X is quantized, we dequantize it, compute fp32 result, and
       // quantize the result to an int8/uint8 value.
       float val = kernels::dequantize<T>(x[j], input_scale, input_zero_point);
+
       val = (val - mean) * inv_std * weight_data[j] + bias_data[j];
       y[j] = kernels::quantize<T>(val, output_inv_scale, output_zero_point);
     }
@@ -114,7 +112,7 @@ void quantized_layer_norm_(
 }
 
 void quantized_layer_norm_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& input,
     const Tensor& in_scale,
     const Tensor& in_zero_point,
diff --git a/backends/cadence/reference/operators/quantized_linear_out.cpp b/backends/cadence/reference/operators/quantized_linear_out.cpp
index fa40f16427..300158d8e5 100644
--- a/backends/cadence/reference/operators/quantized_linear_out.cpp
+++ b/backends/cadence/reference/operators/quantized_linear_out.cpp
@@ -6,18 +6,18 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#include <executorch/backends/cadence/reference/kernels/kernels.h>
 #include <executorch/runtime/kernel/kernel_includes.h>
-#include "kernels.h"
 
 namespace impl {
 namespace reference {
 namespace native {
 
 using Tensor = exec_aten::Tensor;
-using RuntimeContext = torch::executor::RuntimeContext;
+using executorch::runtime::KernelRuntimeContext;
 
 void quantized_linear_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& src,
     const Tensor& weight,
     const Tensor& bias,
diff --git a/backends/cadence/reference/operators/quantized_matmul_out.cpp b/backends/cadence/reference/operators/quantized_matmul_out.cpp
index 49dd222a96..b381a8ee39 100644
--- a/backends/cadence/reference/operators/quantized_matmul_out.cpp
+++ b/backends/cadence/reference/operators/quantized_matmul_out.cpp
@@ -6,15 +6,15 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#include <executorch/backends/cadence/reference/kernels/kernels.h>
 #include <executorch/runtime/kernel/kernel_includes.h>
-#include "kernels.h"
 
 namespace impl {
 namespace reference {
 namespace native {
 
 using Tensor = exec_aten::Tensor;
-using RuntimeContext = torch::executor::RuntimeContext;
+using executorch::runtime::KernelRuntimeContext;
 
 // The quantized matmul. The quantized matmul accumulates in a wider register,
 // whose type is TA.
@@ -105,11 +105,10 @@ void inline _typed_quantized_matmul(
           out_dim);
     }
   }
-  break;
 }
 
 void quantized_matmul_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& X,
     int64_t X_zero_point,
     const Tensor& Y,
@@ -120,7 +119,7 @@ void quantized_matmul_out(
     int64_t out_zero_point,
     bool transposed,
     Tensor& out) {
-  if (out.scalar_type() == at::ScalarType::Byte) {
+  if (out.scalar_type() == exec_aten::ScalarType::Byte) {
     _typed_quantized_matmul<uint8_t>(
         X,
         X_zero_point,
@@ -132,7 +131,7 @@ void quantized_matmul_out(
         out_zero_point,
         transposed,
         out);
-  } else if (out.scalar_type() == at::ScalarType::Char) {
+  } else if (out.scalar_type() == exec_aten::ScalarType::Char) {
     _typed_quantized_matmul<int8_t>(
         X,
         X_zero_point,
diff --git a/backends/cadence/reference/operators/quantized_relu_out.cpp b/backends/cadence/reference/operators/quantized_relu_out.cpp
index 54f6b723c6..04cb2c8833 100644
--- a/backends/cadence/reference/operators/quantized_relu_out.cpp
+++ b/backends/cadence/reference/operators/quantized_relu_out.cpp
@@ -6,41 +6,67 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#include <executorch/backends/cadence/reference/kernels/kernels.h>
 #include <executorch/runtime/kernel/kernel_includes.h>
-#include "kernels.h"
 
 namespace impl {
 namespace reference {
 namespace native {
 
 using Tensor = exec_aten::Tensor;
-using RuntimeContext = torch::executor::RuntimeContext;
+using executorch::runtime::KernelRuntimeContext;
 
-// Note: this kernel assumes that the input and output share quantization
-// parameters. If that is not the case, it will produce incorrect results.
 template <typename T>
 void quantized_relu_(
     const Tensor& input,
     const Tensor& in_zero_point,
+    const int64_t out_zero_point,
+    const Tensor& out_multiplier,
+    const Tensor& out_shift,
     Tensor& output) {
   T q_zero_point = in_zero_point.const_data_ptr<T>()[0];
   const T* __restrict__ in = input.const_data_ptr<T>();
   T* __restrict__ out = output.mutable_data_ptr<T>();
 
+  const int32_t* __restrict__ out_multiplier_data =
+      out_multiplier.const_data_ptr<int32_t>();
+  const int32_t* __restrict__ out_shift_data =
+      out_shift.const_data_ptr<int32_t>();
+
+  // Compute the out_scale from out_multiplier and out_shift
+  const float out_scale =
+      -out_multiplier_data[0] * 1.0 / (1 << 31) * pow(2, out_shift_data[0]);
+
   for (size_t i = 0, e = input.numel(); i < e; ++i) {
-    out[i] = in[i] > q_zero_point ? in[i] : q_zero_point;
+    const T temp = in[i] > q_zero_point ? (in[i] - q_zero_point) : 0;
+    out[i] = kernels::quantize<T>(temp, out_scale, out_zero_point);
   }
 }
 
 void quantized_relu_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& input,
     const Tensor& in_zero_point,
+    const int64_t out_zero_point,
+    const Tensor& out_multiplier,
+    const Tensor& out_shift,
     Tensor& output) {
   if (input.scalar_type() == exec_aten::ScalarType::Byte) {
-    quantized_relu_<uint8_t>(input, in_zero_point, output);
+    quantized_relu_<uint8_t>(
+        input,
+        in_zero_point,
+        out_zero_point,
+        out_multiplier,
+        out_shift,
+        output);
   } else if (input.scalar_type() == exec_aten::ScalarType::Char) {
-    quantized_relu_<int8_t>(input, in_zero_point, output);
+    quantized_relu_<int8_t>(
+        input,
+        in_zero_point,
+        out_zero_point,
+        out_multiplier,
+        out_shift,
+        output);
   } else {
     ET_CHECK_MSG(false, "Unhandled input dtype %hhd", input.scalar_type());
   }
diff --git a/backends/cadence/reference/operators/targets.bzl b/backends/cadence/reference/operators/targets.bzl
new file mode 100644
index 0000000000..347d476239
--- /dev/null
+++ b/backends/cadence/reference/operators/targets.bzl
@@ -0,0 +1,20 @@
+load("@fbsource//tools/build_defs:platform_defs.bzl", "CXX")
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    runtime.cxx_library(
+        name = "cadence_cpu_ops",
+        srcs = glob([
+            "*.cpp",
+        ]),
+        platforms = CXX,
+        deps = [
+            "//executorch/kernels/portable/cpu/util:broadcast_util",
+            "//executorch/runtime/kernel:kernel_includes",
+            "//executorch/kernels/portable/cpu:scalar_utils",
+            "//executorch/backends/cadence/reference/kernels:cadence_kernels",
+        ],
+        visibility = [
+            "//executorch/backends/cadence/...",
+        ],
+    )
diff --git a/backends/cadence/runtime/TARGETS b/backends/cadence/runtime/TARGETS
new file mode 100644
index 0000000000..1b55a7d541
--- /dev/null
+++ b/backends/cadence/runtime/TARGETS
@@ -0,0 +1,21 @@
+load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
+
+oncall("odai_jarvis")
+
+python_library(
+    name = "runtime",
+    srcs = [
+        "__init__.py",
+        "executor.py",
+    ] + glob([
+        "xtsc-cfg/**/*",
+    ]),
+    typing = True,
+    deps = [
+        "//caffe2:torch",
+        "//executorch/devtools/bundled_program:config",
+        "//executorch/devtools/bundled_program:core",
+        "//executorch/devtools/bundled_program/serialize:lib",
+        "//executorch/exir:lib",
+    ],
+)
diff --git a/backends/cadence/runtime/__init__.py b/backends/cadence/runtime/__init__.py
new file mode 100644
index 0000000000..802e218f0d
--- /dev/null
+++ b/backends/cadence/runtime/__init__.py
@@ -0,0 +1,13 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-strict
+
+from .executor import (  # noqa: F401
+    BundledProgramManager,
+    BundledProgramTestData,
+    Executor,
+)
diff --git a/backends/cadence/runtime/executor.py b/backends/cadence/runtime/executor.py
new file mode 100644
index 0000000000..d07b1b6a52
--- /dev/null
+++ b/backends/cadence/runtime/executor.py
@@ -0,0 +1,201 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-strict
+
+
+import logging
+import os
+import selectors
+import subprocess
+import sys
+
+from dataclasses import dataclass
+from typing import Dict, List, Optional, Sequence, Tuple, Union
+
+import torch
+
+from executorch.devtools.bundled_program.config import MethodTestCase, MethodTestSuite
+from executorch.devtools.bundled_program.core import BundledProgram
+
+from executorch.devtools.bundled_program.serialize import (
+    serialize_from_bundled_program_to_flatbuffer,
+)
+from executorch.exir import ExecutorchProgram, ExecutorchProgramManager
+
+# If quiet is true, suppress the printing of stdout and stderr output.
+quiet = False
+
+
+def _execute_subprocess(cmd: List[str], cwd: Optional[str] = None) -> Tuple[str, str]:
+    """
+    `subprocess.run(cmd, capture_output=True)` captures stdout/stderr and only
+    returns it at the end. This functions not only does that, but also prints out
+    stdout/stderr non-blockingly when running the command.
+    """
+    logging.debug(f"cmd = \33[33m{cmd}\33[0m, cwd = {cwd}")
+    stdout = ""
+    stderr = ""
+
+    PIPE = subprocess.PIPE
+    with subprocess.Popen(cmd, stdout=PIPE, stderr=PIPE, cwd=cwd) as p:
+        sel = selectors.DefaultSelector()
+        # pyre-fixme[6]: For 1st argument expected `Union[HasFileno, int]` but got
+        #  `Optional[IO[bytes]]`.
+        sel.register(p.stdout, selectors.EVENT_READ)
+        # pyre-fixme[6]: For 1st argument expected `Union[HasFileno, int]` but got
+        #  `Optional[IO[bytes]]`.
+        sel.register(p.stderr, selectors.EVENT_READ)
+
+        done = False
+        while not done:
+            for key, _ in sel.select():
+                # pyre-fixme[16]: Item `HasFileno` of `Union[HasFileno, int]` has no
+                #  attribute `read1`.
+                data = key.fileobj.read1().decode()
+                if not data:
+                    done = True
+                    break
+
+                if key.fileobj is p.stdout:
+                    if not quiet:
+                        print(data, end="")
+                    stdout += data
+                else:
+                    if not quiet:
+                        print(data, end="", file=sys.stderr)
+                    stderr += data
+
+    # flush stdout and stderr in case there's no newline character at the end
+    # from the subprocess
+    sys.stdout.flush()
+    sys.stderr.flush()
+
+    if p.returncode != 0:
+        raise subprocess.CalledProcessError(p.returncode, p.args, stdout, stderr)
+
+    return stdout, stderr
+
+
+def execute(args: List[str]) -> Tuple[str, str]:
+    """
+    Either a local execution (through subprocess.run) or a remote execution (in Hargow).
+    Run the command described by args (the same way subprocess.run does). Ex: if you want to
+    run "ls -al", you need to pass args = ["ls", "-al"]
+    """
+    # `import torch` will mess up PYTHONPATH. delete the messed up PYTHONPATH
+    if "PYTHONPATH" in os.environ:
+        del os.environ["PYTHONPATH"]
+
+    try:
+        return _execute_subprocess(args)
+    except subprocess.CalledProcessError as e:
+        fdb_cmd = f"fdb {' '.join(e.cmd)}"
+        raise RuntimeError(
+            f"Failed to execute. Use the following to debug:\n{fdb_cmd}"
+        ) from e
+
+
+class Executor:
+    # pyre-fixme[3]: Return type must be annotated.
+    def __init__(
+        self,
+        working_dir: str = "",
+    ):
+        self.working_dir = working_dir
+        self.executor_builder = "./backends/cadence/build_cadence_runner.sh"
+        self.execute_runner = "./cmake-out/backends/cadence/cadence_runner"
+        self.bundled_program_path: str = "CadenceDemoModel.bpte"
+
+    def __call__(self) -> None:
+        # build executor
+        args = self.get_bash_command(self.executor_builder)
+        logging.info(f"\33[33m{' '.join(args)}\33[0m")
+        execute(args)
+
+        # run executor
+        cmd_args = {
+            "bundled_program_path": os.path.join(
+                self.working_dir, self.bundled_program_path
+            ),
+            "etdump_path": os.path.join(self.working_dir, "etdump.etdp"),
+            "debug_output_path": os.path.join(self.working_dir, "debug_output.bin"),
+        }
+        args = self.get_bash_command(self.execute_runner, cmd_args)
+        logging.info(f"\33[33m{' '.join(args)}\33[0m")
+        execute(args)
+
+    @staticmethod
+    def get_bash_command(
+        executable: str,
+        cmd_args: Optional[Dict[str, str]] = None,
+    ) -> List[str]:
+        # go through buck config and turn the dict into a list of "{key}=={value}"
+        if cmd_args is None:
+            cmd_args = {}
+
+        cmd_args_strs = []
+        for key, value in cmd_args.items():
+            cmd_args_strs.extend([f"--{key}={value}"])
+
+        return [executable] + cmd_args_strs
+
+
+@dataclass
+class BundledProgramTestData:
+    method: str
+    inputs: Sequence[Union[bool, float, int, torch.Tensor]]
+    expected_outputs: Sequence[torch.Tensor]
+    testset_idx: int = 0  # There is only one testset in the bundled program
+
+
+class BundledProgramManager:
+    """
+    Stateful bundled program object
+    Takes a BundledProgramTestData and generates a bundled program
+    """
+
+    def __init__(self, bundled_program_test_data: List[BundledProgramTestData]) -> None:
+        self.bundled_program_test_data: List[BundledProgramTestData] = (
+            bundled_program_test_data
+        )
+
+    @staticmethod
+    # pyre-fixme[2]: Parameter `**args` has no type specified.
+    def bundled_program_test_data_gen(**args) -> BundledProgramTestData:
+        return BundledProgramTestData(**args)
+
+    def get_method_test_suites(self) -> List[MethodTestSuite]:
+        return [
+            self._gen_method_test_suite(bptd) for bptd in self.bundled_program_test_data
+        ]
+
+    def _gen_method_test_suite(self, bptd: BundledProgramTestData) -> MethodTestSuite:
+        method_test_case = MethodTestCase(
+            inputs=bptd.inputs,
+            expected_outputs=bptd.expected_outputs,
+        )
+        return MethodTestSuite(
+            method_name=bptd.method,
+            test_cases=[method_test_case],
+        )
+
+    def _serialize(
+        self,
+        executorch_program: Union[
+            ExecutorchProgram,
+            ExecutorchProgramManager,
+        ],
+        method_test_suites: Sequence[MethodTestSuite],
+        bptd: BundledProgramTestData,
+    ) -> bytes:
+        bundled_program = BundledProgram(
+            executorch_program=executorch_program, method_test_suites=method_test_suites
+        )
+        bundled_program_buffer = serialize_from_bundled_program_to_flatbuffer(
+            bundled_program
+        )
+        return bundled_program_buffer
diff --git a/backends/cadence/runtime/executor_main.sh b/backends/cadence/runtime/executor_main.sh
new file mode 100644
index 0000000000..7d6cba09b8
--- /dev/null
+++ b/backends/cadence/runtime/executor_main.sh
@@ -0,0 +1,60 @@
+#!/bin/bash
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# Test the end-to-end flow of building devtools/example_runner and use it to run
+# an actual model.
+
+
+set -e
+
+# shellcheck source=/dev/null
+source "$(dirname "${BASH_SOURCE[0]}")/../../.ci/scripts/utils.sh"
+
+cmake_install_executorch_devtools_lib() {
+  echo "Installing libexecutorch.a, libportable_kernels.a, libetdump.a, libbundled_program.a"
+  rm -rf cmake-out
+
+  retry cmake -DCMAKE_INSTALL_PREFIX=cmake-out \
+          -DCMAKE_BUILD_TYPE=Release \
+          -DEXECUTORCH_BUILD_DEVTOOLS=ON \
+          -DEXECUTORCH_ENABLE_EVENT_TRACER=ON \
+          -DPYTHON_EXECUTABLE="$PYTHON_EXECUTABLE" \
+          -Bcmake-out .
+  cmake --build cmake-out -j9 --target install --config Release
+}
+
+test_cmake_devtools_example_runner() {
+  local example_dir=examples/devtools
+  local build_dir=cmake-out/${example_dir}
+  CMAKE_PREFIX_PATH="${PWD}/cmake-out/lib/cmake/ExecuTorch;${PWD}/cmake-out/third-party/gflags"
+  rm -rf ${build_dir}
+  retry cmake \
+        -DCMAKE_PREFIX_PATH="$CMAKE_PREFIX_PATH" \
+        -DCMAKE_BUILD_TYPE=Release \
+        -DPYTHON_EXECUTABLE="$PYTHON_EXECUTABLE" \
+        -B${build_dir} \
+        ${example_dir}
+
+  echo "Building ${example_dir}"
+  cmake --build ${build_dir} -j9 --config Release
+
+  echo 'Running devtools/example_runner'
+  ${build_dir}/example_runner --bundled_program_path="./CadenceDemoModel.bpte"
+}
+
+if [[ -z $PYTHON_EXECUTABLE ]];
+then
+  PYTHON_EXECUTABLE=python3
+fi
+
+if [[ -z $BUCK ]];
+then
+  BUCK=buck2
+fi
+
+cmake_install_executorch_devtools_lib
+test_cmake_devtools_example_runner
diff --git a/backends/cadence/runtime/runtime.py b/backends/cadence/runtime/runtime.py
new file mode 100644
index 0000000000..33bb20719c
--- /dev/null
+++ b/backends/cadence/runtime/runtime.py
@@ -0,0 +1,241 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+
+import logging
+import numbers
+import os
+import tempfile
+from typing import Any, Optional, Sequence, Tuple, Union
+
+import executorch.exir.schema as et_schema
+
+import numpy as np
+import torch
+
+from executorch.backends.cadence.runtime import utils
+from executorch.backends.cadence.runtime.executor import Executor
+from executorch.devtools import Inspector
+from executorch.exir import ExecutorchProgramManager
+from executorch.exir._serialize._program import deserialize_pte_binary
+from executorch.exir.schema import DataLocation
+
+from numpy import ndarray
+
+from torch.utils._pytree import TreeSpec
+
+
+class JarvisETDump:
+    def __init__(self, output_dir: str) -> None:
+        self.tensor_dump_dir: str = os.path.join(output_dir, "tensors")
+        self.etdump_path: str = os.path.join(output_dir, "etdump.etdp")
+        self.etrecord_path: Optional[str] = os.path.join(output_dir, "etrecord.bin")
+        self.debug_buffer_path: Optional[str] = os.path.join(
+            output_dir, "debug_output.bin"
+        )
+
+        if not os.path.exists(self.etdump_path):
+            raise RuntimeError(f"{self.etdump_path} does not exist")
+        # pyre-ignore[6]: os.path.exists expects str, but got Optional[str]
+        if not os.path.exists(self.etrecord_path):
+            logging.warning(
+                "ETRecord not found, intermediate tensors will not be dumped"
+            )
+            self.etrecord_path = None
+        # pyre-ignore[6]: os.path.exists expects str, but got Optional[str]
+        if not os.path.exists(self.debug_buffer_path):
+            logging.warning(
+                "Debug buffer not found, intermediate tensors will not be dumped"
+            )
+            self.debug_buffer_path = None
+
+        self.et_inspector: Inspector = Inspector(
+            etdump_path=self.etdump_path,
+            debug_buffer_path=self.debug_buffer_path,
+            etrecord=self.etrecord_path,
+        )
+
+    def get_outputs(self, log_to_stdout: bool = False) -> Tuple[torch.Tensor]:
+        output = [
+            event_block.run_output
+            for event_block in self.et_inspector.event_blocks
+            if event_block.name == "Execute"
+        ]
+        logging.debug(f"[Jarvis][ETdump] output: {output}")
+        return output[0]
+
+    def print_event_block(self) -> None:
+        logging.debug("[Jarvis][ETdump] data tabular:")
+        if logging.getLogger().level <= logging.DEBUG:
+            self.et_inspector.print_data_tabular()
+
+    def print_event_data(self) -> None:
+        logging.debug("[Jarvis][ETdump] event data ")
+        for event_block in self.et_inspector.event_blocks:
+            for event in event_block.events:
+                logging.debug(event)
+
+    def dump_intermediate_tensors(self) -> None:
+        if self.etrecord_path is None:
+            logging.info("[Jarvis][ETdump] Intermediate tensors not available")
+            return
+
+        logging.info(
+            f"[Jarvis][ETdump] Dumping intermediate tensors to {self.tensor_dump_dir}"
+        )
+        os.makedirs(self.tensor_dump_dir, exist_ok=True)
+        exec_blocks = [
+            eb for eb in self.et_inspector.event_blocks if eb.name == "Execute"
+        ]
+        if len(exec_blocks) > 1:
+            logging.warning(
+                f'Found {len(exec_blocks)} "Execute" blocks, using the first one and ignoring the rest.'
+            )
+        block = exec_blocks[0]
+
+        # OPERATOR_CALL events are duplicates that contain framework tax data. We don't need them
+        op_events = [e for e in block.events if e.name != "OPERATOR_CALL"]
+        torch.set_printoptions(profile="full")
+
+        for event in op_events:
+            instr_id = event._instruction_id
+            if not event.debug_data:
+                logging.debug(
+                    f"Missing intermediate tensor data for {event.name} ({instr_id=})"
+                )
+                continue
+
+            with open(f"{self.tensor_dump_dir}/{instr_id}.txt", "w") as f:
+                for dd in event.debug_data:
+                    f.write(f"{str(dd)}\n\n")
+        torch.set_printoptions(profile="default")
+
+
+def get_op_names(program: et_schema.Program, execution_plan_id: int = 0) -> set[str]:
+    """
+    Get the list of operators from a Program
+    """
+
+    op_names = {
+        f"{op.name}.{op.overload}"
+        for op in program.execution_plan[execution_plan_id].operators
+    }
+    for delegate in program.execution_plan[execution_plan_id].delegates:
+        logging.debug(f"Delegate: {delegate.id}")
+        if delegate.id == "CadenceExecutorchBackend":
+            assert delegate.processed.location == DataLocation.INLINE
+            op_names |= get_op_names(
+                deserialize_pte_binary(
+                    program.backend_delegate_data[delegate.processed.index].data
+                )
+            )
+    return op_names
+
+
+# Run an ExecutorchProgram using the specified inputs and backend
+def run(
+    executorch_prog: ExecutorchProgramManager,
+    inputs: Any,
+    ref_outputs: Optional[Sequence[torch.Tensor]] = None,
+    working_dir: Optional[str] = None,
+) -> Any:
+    # Get the Program
+    program = executorch_prog.executorch_program
+    out_spec = executorch_prog.exported_program().call_spec.out_spec
+    # Run the program and return the outputs
+    assert isinstance(
+        program, et_schema.Program
+    ), f"program must be Program. Got {type(program)} instead."
+
+    if working_dir is None:
+        working_dir = tempfile.mkdtemp(dir="/tmp")
+
+    # initialize Jarvis e2e Executor with executorch_cfg.
+    executor = Executor(working_dir)
+
+    # run Executor
+    executor()
+
+    etdump = JarvisETDump(output_dir=working_dir)
+    outputs = etdump.get_outputs()
+
+    assert isinstance(out_spec, TreeSpec)
+    outputs = torch.utils._pytree.tree_unflatten(outputs, out_spec)
+
+    return outputs
+
+
+def compare(
+    # pyre-fixme[2]: Parameter annotation cannot be `Any`.
+    outputs: Any,
+    # pyre-fixme[2]: Parameter annotation cannot be `Any`.
+    ref_outputs: Any,
+    name: str = "",
+    eps_error: float = 1e-1,
+    eps_warn: float = 1e-5,
+) -> None:
+    if isinstance(ref_outputs, dict):
+        for k, v in outputs.items():
+            compare(v, ref_outputs[k], f"{name}/{k}", eps_error, eps_warn)
+        return
+
+    if isinstance(ref_outputs, (list, tuple)):
+        for i, (output, ref_output) in enumerate(zip(outputs, ref_outputs)):
+            compare(output, ref_output, f"{name}/{i}", eps_error, eps_warn)
+        return
+
+    assert isinstance(ref_outputs, torch.Tensor), f"Got {type(ref_outputs)} instead."
+
+    ref_outputs = to_nd_array(ref_outputs)
+    outputs = to_nd_array(outputs)
+
+    # compare
+    rms = utils.rms(outputs, ref_outputs)
+    norm_rms = utils.normalized_rms(outputs, ref_outputs)
+    max_abs_diff = utils.max_abs_diff(outputs, ref_outputs)
+    max_rel_diff = utils.max_rel_diff(outputs, ref_outputs)
+    stats = (
+        f"{rms = }, {norm_rms = }, {max_abs_diff = }, {max_rel_diff = :.2f}%, "
+        f"{outputs.shape = }[{outputs.dtype}], {ref_outputs.shape = }[{ref_outputs.dtype}]"
+    )
+
+    if np.isnan(rms) or rms > eps_error:
+        logging.error(f"\33[31m[Error]\33[0m Output {name} mismatched! {stats}")
+        logging.error(f"Expected: {ref_outputs}\n")
+        logging.error(f"Got instead: {outputs}\n")
+        raise RuntimeError(f"\33[31m[Error]\33[0m Output {name} mismatched! {stats}")
+    elif rms > eps_warn:
+        logging.warning(f"\33[33m[Warning]\33[0m Output {name} mismatched!. {stats}")
+    else:
+        logging.info(f"\33[32m[Passed]\33[0m Output {name} matched. {stats}")
+
+
+def run_and_compare(
+    executorch_prog: ExecutorchProgramManager,
+    inputs: Any,
+    ref_outputs: Optional[Sequence[torch.Tensor]] = None,
+    working_dir: Optional[str] = None,
+    eps_error: float = 1e-1,
+    eps_warn: float = 1e-5,
+) -> Any:
+    outputs = run(executorch_prog, inputs, ref_outputs, working_dir)
+    compare(outputs, ref_outputs, eps_error=eps_error, eps_warn=eps_warn)
+
+
+# pyre-fixme[24]: Generic type `np.ndarray` expects 2 type parameters.
+def to_nd_array(v: Union[bool, numbers.Number, ndarray, torch.Tensor]) -> np.ndarray:
+    if isinstance(v, np.ndarray):
+        return v
+
+    if isinstance(v, torch.Tensor):
+        # If v was quantized, we compare its int representation.
+        v = v.int_repr() if v.is_quantized else v
+        return v.cpu().detach().numpy()
+
+    if isinstance(v, (numbers.Number, bool)):
+        return np.array([v])
+
+    raise RuntimeError(f"Unknown type {type(v)}")
diff --git a/backends/cadence/runtime/utils.py b/backends/cadence/runtime/utils.py
new file mode 100644
index 0000000000..b3ed622e8b
--- /dev/null
+++ b/backends/cadence/runtime/utils.py
@@ -0,0 +1,108 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+
+import logging
+import typing
+from typing import Callable, Union
+
+import numpy as np
+import torch
+
+
+# pyre-fixme[24]: Generic type `np.ndarray` expects 2 type parameters.
+def distance(fn: Callable[[np.ndarray, np.ndarray], float]) -> Callable[
+    [
+        # pyre-fixme[24]: Generic type `np.ndarray` expects 2 type parameters.
+        typing.Union[np.ndarray, torch._tensor.Tensor],
+        # pyre-fixme[24]: Generic type `np.ndarray` expects 2 type parameters.
+        typing.Union[np.ndarray, torch._tensor.Tensor],
+    ],
+    float,
+]:
+    # A distance decorator that performs all the necessary checkes before calculating
+    # the distance between two N-D tensors given a function. This can be a RMS
+    # function, maximum abs diff, or any kind of distance function.
+    def wrapper(
+        # pyre-fixme[24]: Generic type `np.ndarray` expects 2 type parameters.
+        a: Union[np.ndarray, torch.Tensor],
+        # pyre-fixme[24]: Generic type `np.ndarray` expects 2 type parameters.
+        b: Union[np.ndarray, torch.Tensor],
+    ) -> float:
+        # convert a and b to np.ndarray type fp64
+        a = to_np_arr_fp64(a)
+        b = to_np_arr_fp64(b)
+
+        # return NaN if shape mismatches
+        if a.shape != b.shape:
+            return np.nan
+
+        # After we make sure shape matches, check if it's empty. If yes, return 0
+        if a.size == 0:
+            return 0
+
+        # np.isinf and np.isnan returns a Boolean mask. Check if Inf or NaN occur at
+        # the same places in a and b. If not, return NaN
+        if np.any(np.isinf(a) != np.isinf(b)) or np.any(np.isnan(a) != np.isnan(b)):
+            return np.nan
+
+        # mask out all the values that are either Inf or NaN
+        mask = np.isinf(a) | np.isnan(a)
+        if np.any(mask):
+            logging.warning("Found inf/nan in tensor when calculating the distance")
+
+        a_masked = a[~mask]
+        b_masked = b[~mask]
+
+        # after masking, the resulting tensor might be empty. If yes, return 0
+        if a_masked.size == 0:
+            return 0
+
+        # only compare the rest (those that are actually numbers) using the metric
+        return fn(a_masked, b_masked)
+
+    return wrapper
+
+
+@distance
+# pyre-fixme[24]: Generic type `np.ndarray` expects 2 type parameters.
+def rms(a: np.ndarray, b: np.ndarray) -> float:
+    return ((a - b) ** 2).mean() ** 0.5
+
+
+@distance
+# pyre-fixme[24]: Generic type `np.ndarray` expects 2 type parameters.
+def max_abs_diff(a: np.ndarray, b: np.ndarray) -> float:
+    return np.abs(a - b).max()
+
+
+@distance
+# pyre-fixme[24]: Generic type `np.ndarray` expects 2 type parameters.
+def max_rel_diff(x: np.ndarray, x_ref: np.ndarray) -> float:
+    return np.abs((x - x_ref) / x_ref).max()
+
+
+# pyre-fixme[24]: Generic type `np.ndarray` expects 2 type parameters.
+def to_np_arr_fp64(x: Union[np.ndarray, torch.Tensor]) -> np.ndarray:
+    if isinstance(x, torch.Tensor):
+        x = x.detach().cpu().numpy()
+    if isinstance(x, np.ndarray):
+        x = x.astype(np.float64)
+    return x
+
+
+# pyre-fixme[3]: Return type must be annotated.
+def normalized_rms(
+    # pyre-fixme[24]: Generic type `np.ndarray` expects 2 type parameters.
+    predicted: Union[np.ndarray, torch.Tensor],
+    # pyre-fixme[24]: Generic type `np.ndarray` expects 2 type parameters.
+    ground_truth: Union[np.ndarray, torch.Tensor],
+):
+    num = rms(predicted, ground_truth)
+    if num == 0:
+        return 0
+    den = np.linalg.norm(to_np_arr_fp64(ground_truth))
+    return np.float64(num) / np.float64(den)
diff --git a/backends/example/test_example_delegate.py b/backends/example/test_example_delegate.py
index 973b457bad..d830c1bb31 100644
--- a/backends/example/test_example_delegate.py
+++ b/backends/example/test_example_delegate.py
@@ -46,7 +46,7 @@ def get_example_inputs():
         )
 
         m = model.eval()
-        m = torch._export.capture_pre_autograd_graph(m, copy.deepcopy(example_inputs))
+        m = torch.export.export_for_training(m, copy.deepcopy(example_inputs)).module()
         # print("original model:", m)
         quantizer = ExampleQuantizer()
         # quantizer = XNNPACKQuantizer()
@@ -82,7 +82,7 @@ def test_delegate_mobilenet_v2(self):
         )
 
         m = model.eval()
-        m = torch._export.capture_pre_autograd_graph(m, copy.deepcopy(example_inputs))
+        m = torch.export.export_for_training(m, copy.deepcopy(example_inputs)).module()
         quantizer = ExampleQuantizer()
 
         m = prepare_pt2e(m, quantizer)
diff --git a/backends/mediatek/CMakeLists.txt b/backends/mediatek/CMakeLists.txt
new file mode 100644
index 0000000000..744b1193d5
--- /dev/null
+++ b/backends/mediatek/CMakeLists.txt
@@ -0,0 +1,49 @@
+#[[
+/*
+* Copyright (c) 2024 MediaTek Inc.
+*
+* Licensed under the BSD License (the "License"); you may not use this file
+* except in compliance with the License. See the license file in the root
+* directory of this source tree for more details.
+*/
+]]
+
+# Let include directory as "executorch/..."
+set(_common_include_directories ${CMAKE_CURRENT_SOURCE_DIR}/../../..)
+set(NEURON_BUFFER_ALLOCATOR_LIB
+    ""
+    CACHE PATH "Path to Neuron Buffer Allocator library"
+)
+message(
+  STATUS "Looking for neuron_buffer_allocator in ${NEURON_BUFFER_ALLOCATOR_LIB}"
+)
+
+include_directories(BEFORE ${_common_include_directories})
+
+# shortcut include directory for neuron headers
+include_directories(BEFORE ${CMAKE_CURRENT_SOURCE_DIR}/runtime/include)
+
+# targets
+add_library(neuron_backend SHARED)
+target_link_libraries(neuron_backend
+    PRIVATE
+    executorch_no_prim_ops
+    portable_ops_lib
+    android
+    log
+    ${NEURON_BUFFER_ALLOCATOR_LIB}
+)
+target_sources(
+  neuron_backend
+  INTERFACE ${CMAKE_CURRENT_LIST_DIR}/runtime/include/NeuronBackend.h
+            ${CMAKE_CURRENT_LIST_DIR}/runtime/include/NeuronBufferAllocator.h
+            ${CMAKE_CURRENT_LIST_DIR}/runtime/include/NeuronExecutor.h
+            ${CMAKE_CURRENT_LIST_DIR}/runtime/include/NeuronLog.h
+            ${CMAKE_CURRENT_LIST_DIR}/runtime/include/api/APUWareUtilsLib.h
+            ${CMAKE_CURRENT_LIST_DIR}/runtime/include/api/NeuronAdapterShim.h
+  PRIVATE ${CMAKE_CURRENT_LIST_DIR}/runtime/NeuronBackend.cpp
+          ${CMAKE_CURRENT_LIST_DIR}/runtime/NeuronExecutor.cpp
+)
+target_link_options_shared_lib(neuron_backend)
+
+install(TARGETS neuron_backend DESTINATION lib)
diff --git a/backends/mediatek/__init__.py b/backends/mediatek/__init__.py
new file mode 100644
index 0000000000..d95b85eabc
--- /dev/null
+++ b/backends/mediatek/__init__.py
@@ -0,0 +1,5 @@
+from .partitioner import NeuropilotPartitioner
+from .preprocess import NeuropilotBackend
+from .quantizer import NeuropilotQuantizer, Precision
+
+__all__ = [NeuropilotBackend, NeuropilotPartitioner, NeuropilotQuantizer, Precision]
diff --git a/backends/mediatek/partitioner.py b/backends/mediatek/partitioner.py
new file mode 100644
index 0000000000..056336d606
--- /dev/null
+++ b/backends/mediatek/partitioner.py
@@ -0,0 +1,101 @@
+# Copyright (c) 2024 MediaTek Inc.
+#
+# Licensed under the BSD License (the "License"); you may not use this file
+# except in compliance with the License. See the license file in the root
+# directory of this source tree for more details.
+
+from typing import Callable, final, List, Optional, Tuple
+
+import torch
+from executorch.backends.mediatek.preprocess import NeuropilotBackend
+from executorch.exir.backend.backend_details import CompileSpec
+from executorch.exir.backend.partitioner import (
+    DelegationSpec,
+    Partitioner,
+    PartitionResult,
+)
+from executorch.exir.backend.utils import tag_constant_data
+
+from mtk_converter.python.converters.pytorch import importer_v2
+from torch.export.exported_program import ExportedProgram
+from torch.fx.passes.infra.partitioner import CapabilityBasedPartitioner
+from torch.fx.passes.operator_support import OperatorSupportBase
+
+
+class NeuropilotOperatorsSupport(OperatorSupportBase):
+
+    def __init__(
+        self,
+        op_types_to_skip: Optional[set] = None,
+        op_names_to_skip: Optional[set] = None,
+    ) -> None:
+        if op_types_to_skip is None:
+            op_types_to_skip = set()
+        if op_names_to_skip is None:
+            op_names_to_skip = set()
+
+        self._op_types_to_skip = op_types_to_skip
+        self._op_names_to_skip = op_names_to_skip
+
+    def is_node_supported(self, _, node: torch.fx.Node) -> bool:
+        # Handle 'call_function' only cause 'placeholder' and 'output' cannot be tagged.
+        # Ref: https://github.com/pytorch/executorch/pull/1398
+        if node.op != "call_function":
+            return False
+
+        op_type = node.target.__name__
+        if op_type in self._op_types_to_skip or node.name in self._op_names_to_skip:
+            print(
+                f"[Neuropilot Backend] The {op_type} operator with name '{node.name}' is skipped."
+            )
+            return False
+
+        return importer_v2.is_fx_node_supported(node)
+
+
+@final
+class NeuropilotPartitioner(Partitioner):
+
+    def __init__(
+        self,
+        compile_spec: List[CompileSpec],
+        op_types_to_skip: Optional[set] = None,
+        op_names_to_skip: Optional[set] = None,
+    ) -> None:
+        self.delegation_spec = DelegationSpec(NeuropilotBackend.__name__, compile_spec)
+        self._op_types_to_skip = op_types_to_skip
+        self._op_names_to_skip = op_names_to_skip
+
+    def ops_to_not_decompose(
+        self,
+        ep: ExportedProgram,
+    ) -> Tuple[List[torch._ops.OpOverload], Optional[Callable[[torch.fx.Node], bool]]]:
+        ops_not_decompose = [
+            torch.ops.aten.pixel_shuffle.default,
+            torch.ops.aten.upsample_bilinear2d.default,
+            torch.ops.aten.upsample_bilinear2d.vec,
+            torch.ops.aten.upsample_nearest2d.default,
+            torch.ops.aten.upsample_nearest2d.vec,
+        ]
+        return (ops_not_decompose, None)
+
+    def partition(self, exported_program: ExportedProgram) -> PartitionResult:
+        capability_partitioner = CapabilityBasedPartitioner(
+            exported_program.graph_module,
+            NeuropilotOperatorsSupport(self._op_types_to_skip, self._op_names_to_skip),
+            allows_single_node_partition=True,
+        )
+        partition_list = capability_partitioner.propose_partitions()
+
+        partition_tags = {}
+        for partition in partition_list:
+            for node in partition.nodes:
+                tag = f"tag{partition.id}"
+                node.meta["delegation_tag"] = tag
+                partition_tags[tag] = self.delegation_spec
+
+        tag_constant_data(exported_program)
+
+        return PartitionResult(
+            tagged_exported_program=exported_program, partition_tags=partition_tags
+        )
diff --git a/backends/mediatek/passes/__init__.py b/backends/mediatek/passes/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/backends/mediatek/passes/decompose_scaled_dot_product_attention.py b/backends/mediatek/passes/decompose_scaled_dot_product_attention.py
new file mode 100644
index 0000000000..9ce9e8faa6
--- /dev/null
+++ b/backends/mediatek/passes/decompose_scaled_dot_product_attention.py
@@ -0,0 +1,79 @@
+# Copyright (c) 2024 MediaTek Inc.
+#
+# Licensed under the BSD License (the "License"); you may not use this file
+# except in compliance with the License. See the license file in the root
+# directory of this source tree for more details.
+
+import torch
+
+from executorch.exir.pass_base import ExportPass, PassResult
+from torch._decomp import get_decompositions
+from torch.fx import Graph
+from torch.fx.experimental.proxy_tensor import make_fx
+
+
+def _get_input_node_names(graph: Graph):
+    input_names = []
+    for node in graph.nodes:
+        if node.op == "placeholder":
+            input_names.append(node.name)
+    return input_names
+
+
+class DecomposeScaledDotProductAttention(ExportPass):
+    """Decompose the single SDPA operator."""
+
+    def call(self, graph_module: torch.fx.GraphModule):
+        graph = graph_module.graph
+        for node in graph.nodes:
+            if node.target != torch.ops.aten.scaled_dot_product_attention.default:
+                continue
+
+            decom_mappings = get_decompositions(
+                [torch.ops.aten._scaled_dot_product_flash_attention_for_cpu.default]
+            )
+            input_tensors = (arg.meta["val"] for arg in node.args)
+            decomposed_module = make_fx(node.target, decom_mappings, "fake", True)(
+                *input_tensors
+            )
+            decomposed_input_names = _get_input_node_names(decomposed_module.graph)
+            with graph.inserting_before(node):
+                name_to_input_tensor_map = {}
+                for idx, arg in enumerate(node.args):
+                    name_to_input_tensor_map[decomposed_input_names[idx]] = arg
+
+                decomposed_node_to_subgraph_node = {}
+                for decomposed_node in decomposed_module.graph.nodes:
+                    if decomposed_node.op == "placeholder":
+                        decomposed_node_to_subgraph_node[decomposed_node] = (
+                            name_to_input_tensor_map[decomposed_node.name]
+                        )
+
+                # Copy node from decompose graph module
+                for decomposed_node in decomposed_module.graph.nodes:
+                    if decomposed_node.op == "placeholder":
+                        continue
+                    if decomposed_node.op == "output":
+                        for user in node.users.copy():
+                            new_node = decomposed_node_to_subgraph_node[
+                                decomposed_node.args[0]
+                            ]
+                            user.replace_input_with(node, new_node)
+                        continue
+
+                    subgraph_node = graph.node_copy(
+                        decomposed_node,
+                        arg_transform=lambda x, d=decomposed_node_to_subgraph_node: d[
+                            x
+                        ],
+                    )
+                    subgraph_node.meta["source_fn_stack"] = [
+                        (subgraph_node, subgraph_node.target)
+                    ]
+                    decomposed_node_to_subgraph_node[decomposed_node] = subgraph_node
+
+                graph.erase_node(node)
+
+        graph.eliminate_dead_code()
+        graph_module.recompile()
+        return PassResult(graph_module, True)
diff --git a/backends/mediatek/preprocess.py b/backends/mediatek/preprocess.py
new file mode 100644
index 0000000000..92a1e196ad
--- /dev/null
+++ b/backends/mediatek/preprocess.py
@@ -0,0 +1,73 @@
+# Copyright (c) 2024 MediaTek Inc.
+#
+# Licensed under the BSD License (the "License"); you may not use this file
+# except in compliance with the License. See the license file in the root
+# directory of this source tree for more details.
+
+import contextlib
+import struct
+
+from typing import final, List
+
+import mtk_converter
+import mtk_neuron
+import torch
+from executorch.exir.backend.backend_details import (
+    BackendDetails,
+    ExportedProgram,
+    PreprocessResult,
+)
+from executorch.exir.backend.compile_spec_schema import CompileSpec
+
+SKIP_COMPILE_SPEC_KEYS = {"ImportForever"}
+
+
+@final
+class NeuropilotBackend(BackendDetails):
+
+    @classmethod
+    def preprocess(
+        cls, edge_program: ExportedProgram, module_compile_spec: List[CompileSpec]
+    ) -> PreprocessResult:
+
+        name_to_node_mappings = {node.name: node for node in edge_program.graph.nodes}
+        input_names = edge_program.graph_signature.user_inputs
+        output_names = edge_program.graph_signature.user_outputs
+        fp_input_indices = [
+            idx
+            for idx, name in enumerate(input_names)
+            if name_to_node_mappings[name].meta["val"].dtype == torch.float32
+        ]
+        fp_output_indices = [
+            idx
+            for idx, name in enumerate(output_names)
+            if name_to_node_mappings[name].meta["val"].dtype == torch.float32
+        ]
+
+        # This default compile options are only for mt6989 SOC
+        compile_options = ["--arch=mdla5.1,edpa1.0", "--relax-fp32", "--opt=3"]
+        for spec in module_compile_spec:
+            if spec.key in SKIP_COMPILE_SPEC_KEYS:
+                continue
+            if spec.value == b"":
+                compile_options.append(f"--{spec.key}")
+            else:
+                value = spec.value.decode("utf-8")
+                compile_options.append(f"--{spec.key}={value}")
+
+        converter = mtk_converter.PyTorchV2Converter.from_exported_program(edge_program)
+        converter.quantize = True
+        converter.input_quantization_bitwidths = None
+        converter.allow_missing_quantization_ranges = True
+        converter.prepend_input_quantize_ops = True
+        converter.prepend_input_quantize_ops_indices = fp_input_indices
+        converter.append_output_dequantize_ops = True
+        converter.append_output_dequantize_ops_indices = fp_output_indices
+        with contextlib.redirect_stdout(None):
+            mlir_str = converter.convert_to_mlir()
+            model_bytes = mtk_neuron.compile(mlir_str, " ".join(compile_options))
+
+        num_inputs = len(input_names)
+        num_outputs = len(output_names)
+        header = struct.pack("<BIII", 1, num_inputs, num_outputs, len(model_bytes))
+        return PreprocessResult(processed_bytes=bytes(header + model_bytes))
diff --git a/backends/mediatek/quantizer/__init__.py b/backends/mediatek/quantizer/__init__.py
new file mode 100644
index 0000000000..d3e29c34bc
--- /dev/null
+++ b/backends/mediatek/quantizer/__init__.py
@@ -0,0 +1,4 @@
+from .qconfig import Precision
+from .quantizer import NeuropilotQuantizer
+
+__all__ = [NeuropilotQuantizer, Precision]
diff --git a/backends/mediatek/quantizer/annotator.py b/backends/mediatek/quantizer/annotator.py
new file mode 100644
index 0000000000..dcbaf58833
--- /dev/null
+++ b/backends/mediatek/quantizer/annotator.py
@@ -0,0 +1,264 @@
+# Copyright (c) 2024 MediaTek Inc.
+#
+# Licensed under the BSD License (the "License"); you may not use this file
+# except in compliance with the License. See the license file in the root
+# directory of this source tree for more details.
+
+from typing import Callable, List
+
+import torch
+
+from torch._export import capture_pre_autograd_graph
+from torch._ops import OpOverload
+from torch._subclasses import FakeTensor
+
+from torch.ao.quantization.quantizer import QuantizationAnnotation
+from torch.ao.quantization.quantizer.utils import (
+    _annotate_input_qspec_map,
+    _annotate_output_qspec,
+)
+from torch.fx import Graph, Node
+from torch.fx.passes.utils.matcher_with_name_node_map_utils import (
+    SubgraphMatcherWithNameNodeMap,
+)
+
+from .qconfig import QuantizationConfig
+
+
+OP_TO_ANNOTATOR = {}
+
+
+def annotate(graph: Graph, quant_config: QuantizationConfig) -> None:
+    # Pattern annotation
+    _annotate_rmsnorm_pattern(graph, quant_config)
+    _annotate_fused_activation_pattern(graph, quant_config)
+
+    # Per-op annotation
+    for node in graph.nodes:
+        if node.op == "placeholder":
+            annotate_placeholder(node, quant_config)
+        elif node.op == "call_function":
+            annotate_func = OP_TO_ANNOTATOR.get(node.target, None)
+            if annotate_func is not None:
+                annotate_func(node, quant_config)
+
+
+def register_annotator(ops: List[OpOverload]):
+
+    def decorator(annotator_fn: Callable):
+        for op in ops:
+            OP_TO_ANNOTATOR[op] = annotator_fn
+
+    return decorator
+
+
+def _is_annotated(node: Node):
+    """
+    Given a list of nodes (that represents an operator pattern),
+    return True if any of the node
+    is annotated, otherwise return False
+    """
+    KEY = "quantization_annotation"
+    return KEY in node.meta and node.meta[KEY]._annotated
+
+
+def _mark_as_annotated(nodes: List[Node]):
+    KEY = "quantization_annotation"
+    for node in nodes:
+        if KEY not in node.meta:
+            node.meta[KEY] = QuantizationAnnotation()
+        node.meta[KEY]._annotated = True
+
+
+def _is_float_activation_tensor(node: Node):
+    if not isinstance(node, Node):
+        return False
+    if "val" not in node.meta:
+        return False
+    if not isinstance(node.meta["val"], FakeTensor):
+        return False
+    return node.meta["val"].dtype == torch.float32
+
+
+def _annotate_fused_activation_pattern(
+    graph: Graph, quant_config: QuantizationConfig
+) -> None:
+    for relu_node in graph.nodes:
+        # Check relu/relu6 node
+        if relu_node.op != "call_function":
+            continue
+        if relu_node.target not in [
+            torch.ops.aten.relu.default,
+            torch.ops.aten.relu_.default,
+            torch.ops.aten.relu6.default,
+        ]:
+            continue
+
+        producer_node = relu_node.args[0]
+        if not isinstance(producer_node, Node):
+            continue
+        if producer_node.op != "call_function":
+            continue
+        if len(producer_node.users) != 1:
+            continue
+
+        # Handle affine + relu fusion
+        if producer_node.target in [
+            torch.ops.aten.conv1d.default,
+            torch.ops.aten.conv2d.default,
+            torch.ops.aten.linear.default,
+        ]:
+            weight_node = producer_node.args[1]
+            _annotate_input_qspec_map(
+                producer_node,
+                weight_node,
+                quant_config.weight,
+            )
+            _annotate_output_qspec(relu_node, quant_config.activation)
+            _mark_as_annotated([producer_node, weight_node, relu_node])
+            continue
+
+        # Handle arithmetic + relu fusion
+        if producer_node.target in [
+            torch.ops.aten.add.Scalar,
+            torch.ops.aten.add.Tensor,
+            torch.ops.aten.add_.Scalar,
+            torch.ops.aten.add_.Tensor,
+            torch.ops.aten.div.Scalar,
+            torch.ops.aten.div.Tensor,
+            torch.ops.aten.div_.Scalar,
+            torch.ops.aten.div_.Tensor,
+            torch.ops.aten.divide.Scalar,
+            torch.ops.aten.divide.Tensor,
+            torch.ops.aten.mul.Scalar,
+            torch.ops.aten.mul.Tensor,
+            torch.ops.aten.mul_.Scalar,
+            torch.ops.aten.mul_.Tensor,
+            torch.ops.aten.rsub.Scalar,
+            torch.ops.aten.rsub.Tensor,
+            torch.ops.aten.sub.Scalar,
+            torch.ops.aten.sub.Tensor,
+            torch.ops.aten.sub_.Scalar,
+            torch.ops.aten.sub_.Tensor,
+        ]:
+            _annotate_output_qspec(relu_node, quant_config.activation)
+            _mark_as_annotated([producer_node, relu_node])
+            continue
+
+
+def _annotate_rmsnorm_pattern(graph: Graph, quant_config: QuantizationConfig) -> None:
+
+    class ExecuTorchPattern(torch.nn.Module):
+        def forward(self, x):
+            norm = x * torch.rsqrt((x * x).mean(-1, keepdim=True) + 1e-6)
+            return norm, {}
+
+    class MTKPattern(torch.nn.Module):
+        def forward(self, x):
+            norm = x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + 1e-6)
+            return norm, {}
+
+    for pattern_cls in (ExecuTorchPattern, MTKPattern):
+        pattern_gm = capture_pre_autograd_graph(pattern_cls(), (torch.randn(3, 3),))
+        matcher = SubgraphMatcherWithNameNodeMap(
+            pattern_gm, ignore_literals=True, remove_overlapping_matches=False
+        )
+        matches = matcher.match(graph)
+        for match in matches:
+            target_nodes = []
+            for node in match.nodes_map.values():
+                if node in match.placeholder_nodes:
+                    continue
+                if node.op == "call_function" and node.target in OP_TO_ANNOTATOR:
+                    target_nodes.append(node)
+
+            if any(_is_annotated(node) for node in target_nodes):
+                continue
+            _mark_as_annotated(target_nodes)
+            for node in match.returning_nodes:
+                _annotate_output_qspec(node, quant_config.activation)
+
+
+def annotate_placeholder(node: Node, quant_config: QuantizationConfig) -> None:
+    if _is_annotated(node):
+        return
+
+    if _is_float_activation_tensor(node):
+        _annotate_output_qspec(node, quant_config.activation)
+
+    _mark_as_annotated([node])
+
+
+@register_annotator(
+    [
+        torch.ops.aten.conv1d.default,
+        torch.ops.aten.conv2d.default,
+        torch.ops.aten.linear.default,
+    ]
+)
+def annotate_affine_ops(node: Node, quant_config: QuantizationConfig) -> None:
+    if _is_annotated(node):
+        return
+
+    weight_node = node.args[1]
+    _annotate_input_qspec_map(
+        node,
+        weight_node,
+        quant_config.weight,
+    )
+    _annotate_output_qspec(node, quant_config.activation)
+
+    # Make weight as annotated because it is a constant node
+    _mark_as_annotated([node, weight_node])
+
+
+@register_annotator(
+    [
+        torch.ops.aten.add.Scalar,
+        torch.ops.aten.add.Tensor,
+        torch.ops.aten.add_.Scalar,
+        torch.ops.aten.add_.Tensor,
+        torch.ops.aten.bmm.default,
+        torch.ops.aten.div.Scalar,
+        torch.ops.aten.div.Tensor,
+        torch.ops.aten.div_.Scalar,
+        torch.ops.aten.div_.Tensor,
+        torch.ops.aten.divide.Scalar,
+        torch.ops.aten.divide.Tensor,
+        torch.ops.aten.gelu.default,
+        torch.ops.aten.group_norm.default,
+        torch.ops.aten.layer_norm.default,
+        torch.ops.aten.leaky_relu.default,
+        torch.ops.aten.matmul.default,
+        torch.ops.aten.mul.Scalar,
+        torch.ops.aten.mul.Tensor,
+        torch.ops.aten.mul_.Scalar,
+        torch.ops.aten.mul_.Tensor,
+        torch.ops.aten.pow.Scalar,
+        torch.ops.aten.pow.Tensor_Scalar,
+        torch.ops.aten.pow.Tensor_Tensor,
+        torch.ops.aten.prelu.default,
+        torch.ops.aten.rsub.Scalar,
+        torch.ops.aten.rsub.Tensor,
+        torch.ops.aten.silu.default,
+        torch.ops.aten.sub.Scalar,
+        torch.ops.aten.sub.Tensor,
+        torch.ops.aten.sub_.Scalar,
+        torch.ops.aten.sub_.Tensor,
+    ]
+)
+def annotate_output_qspec(node: Node, quant_config: QuantizationConfig) -> None:
+    if _is_annotated(node):
+        return
+    _annotate_output_qspec(node, quant_config.activation)
+    _mark_as_annotated([node])
+
+
+@register_annotator([torch.ops.aten.embedding.default])
+def annotate_embedding_op(node: Node, quant_config: QuantizationConfig) -> None:
+    if _is_annotated(node):
+        return
+
+    wgt_node = node.args[0]
+    _annotate_input_qspec_map(node, wgt_node, quant_config.activation)
+    _mark_as_annotated([node])
diff --git a/backends/mediatek/quantizer/qconfig.py b/backends/mediatek/quantizer/qconfig.py
new file mode 100644
index 0000000000..e16f5e936c
--- /dev/null
+++ b/backends/mediatek/quantizer/qconfig.py
@@ -0,0 +1,171 @@
+# Copyright (c) 2024 MediaTek Inc.
+#
+# Licensed under the BSD License (the "License"); you may not use this file
+# except in compliance with the License. See the license file in the root
+# directory of this source tree for more details.
+
+import copy
+
+from enum import IntEnum, unique
+
+import torch
+
+from torch.ao.quantization.fake_quantize import FakeQuantize
+from torch.ao.quantization.observer import MinMaxObserver, PerChannelMinMaxObserver
+from torch.ao.quantization.quantizer import QuantizationSpec
+
+
+@unique
+class Precision(IntEnum):
+    A16W16 = 0
+    A16W8 = 1
+    A16W4 = 2
+    A8W8 = 3
+    A8W4 = 4
+
+
+class QuantizationConfig:
+
+    def __init__(
+        self, activation_spec: QuantizationSpec, weight_spec: QuantizationSpec
+    ):
+        self._activation_spec = activation_spec
+        self._weight_spec = weight_spec
+
+    @property
+    def activation(self):
+        return copy.deepcopy(self._activation_spec)
+
+    @property
+    def weight(self):
+        return copy.deepcopy(self._weight_spec)
+
+
+def get_quant_config(
+    precision: Precision,
+    is_per_channel: bool = False,
+    is_qat: bool = False,
+) -> QuantizationConfig:
+
+    precision_mappings = {
+        Precision.A16W16: get_a16w16_quant_config,
+        Precision.A16W8: get_a16w8_quant_config,
+        Precision.A16W4: get_a16w4_quant_config,
+        Precision.A8W8: get_a8w8_quant_config,
+        Precision.A8W4: get_a8w4_quant_config,
+    }
+    if precision not in precision_mappings:
+        raise RuntimeError("Unrecognized precision setting.")
+
+    qconfig_fn = precision_mappings[precision]
+    return qconfig_fn(is_per_channel, is_qat)
+
+
+def _get_activation_qspec(
+    dtype,
+    is_symmetric,
+    is_qat,
+    observer_cls=MinMaxObserver,
+    quant_min=None,
+    quant_max=None,
+):
+    if quant_max is None:
+        quant_max = torch.iinfo(dtype).max
+    if quant_min is None:
+        # quant_min = torch.iinfo(dtype).min + 1 if is_symmetric else torch.iinfo(dtype).min
+        quant_min = torch.iinfo(dtype).min
+
+    qscheme = torch.per_tensor_symmetric if is_symmetric else torch.per_tensor_affine
+    if is_qat:
+        observer_or_fake_quant = FakeQuantize.with_args(observer=observer_cls, eps=1e-6)
+    else:
+        observer_or_fake_quant = observer_cls.with_args(eps=1e-6)
+
+    return QuantizationSpec(
+        dtype=dtype,
+        quant_min=quant_min,
+        quant_max=quant_max,
+        qscheme=qscheme,
+        observer_or_fake_quant_ctr=observer_or_fake_quant,
+    )
+
+
+def _get_weight_qspec(
+    dtype, is_symmetric, is_per_channel, is_qat, quant_min=None, quant_max=None
+):
+    if not is_per_channel:
+        return _get_activation_qspec(
+            dtype, is_symmetric, is_qat, observer_cls=MinMaxObserver
+        )
+
+    if quant_max is None:
+        quant_max = torch.iinfo(dtype).max
+    if quant_min is None:
+        # quant_min = torch.iinfo(dtype).min + 1 if is_symmetric else torch.iinfo(dtype).min
+        quant_min = torch.iinfo(dtype).min
+
+    qscheme = torch.per_channel_symmetric if is_symmetric else torch.per_channel_affine
+    if is_qat:
+        observer_or_fake_quant = FakeQuantize.with_args(
+            observer=PerChannelMinMaxObserver, eps=1e-6
+        )
+    else:
+        observer_or_fake_quant = PerChannelMinMaxObserver.with_args(eps=1e-6)
+
+    return QuantizationSpec(
+        dtype=dtype,
+        quant_min=quant_min,
+        quant_max=quant_max,
+        qscheme=qscheme,
+        ch_axis=0,
+        observer_or_fake_quant_ctr=observer_or_fake_quant,
+    )
+
+
+def get_a16w16_quant_config(is_per_channel, is_qat) -> QuantizationConfig:
+    act_quantization_spec = _get_activation_qspec(torch.int16, True, is_qat)
+    wgt_quantization_spec = _get_weight_qspec(torch.int16, True, is_per_channel, is_qat)
+    quantization_config = QuantizationConfig(
+        act_quantization_spec, wgt_quantization_spec
+    )
+    return quantization_config
+
+
+def get_a16w8_quant_config(is_per_channel, is_qat) -> QuantizationConfig:
+    act_quantization_spec = _get_activation_qspec(torch.int16, True, is_qat)
+    wgt_quantization_spec = _get_weight_qspec(torch.int8, True, is_per_channel, is_qat)
+    quantization_config = QuantizationConfig(
+        act_quantization_spec, wgt_quantization_spec
+    )
+    return quantization_config
+
+
+def get_a16w4_quant_config(is_per_channel, is_qat) -> QuantizationConfig:
+    act_quantization_spec = _get_activation_qspec(torch.int16, True, is_qat)
+    wgt_quantization_spec = _get_weight_qspec(
+        torch.int8, False, is_per_channel, is_qat, quant_min=-8, quant_max=7
+    )
+    quantization_config = QuantizationConfig(
+        act_quantization_spec, wgt_quantization_spec
+    )
+    return quantization_config
+
+
+def get_a8w8_quant_config(is_per_channel, is_qat) -> QuantizationConfig:
+    act_quantization_spec = _get_activation_qspec(torch.int8, False, is_qat)
+    wgt_quantization_spec = _get_weight_qspec(torch.int8, False, is_per_channel, is_qat)
+    quantization_config = QuantizationConfig(
+        act_quantization_spec, wgt_quantization_spec
+    )
+    return quantization_config
+
+
+def get_a8w4_quant_config(is_per_channel, is_qat) -> QuantizationConfig:
+    act_quantization_spec = _get_activation_qspec(torch.int8, False, is_qat)
+    wgt_quantization_spec = _get_weight_qspec(
+        torch.int8, False, is_per_channel, is_qat, quant_min=-8, quant_max=7
+    )
+    quantization_config = QuantizationConfig(
+        act_quantization_spec, wgt_quantization_spec
+    )
+    return quantization_config
diff --git a/backends/mediatek/quantizer/quantizer.py b/backends/mediatek/quantizer/quantizer.py
new file mode 100644
index 0000000000..44e35ef54e
--- /dev/null
+++ b/backends/mediatek/quantizer/quantizer.py
@@ -0,0 +1,45 @@
+# Copyright (c) 2024 MediaTek Inc.
+#
+# Licensed under the BSD License (the "License"); you may not use this file
+# except in compliance with the License. See the license file in the root
+# directory of this source tree for more details.
+
+from torch.ao.quantization.quantizer import Quantizer
+from torch.fx import GraphModule
+
+from ..passes.decompose_scaled_dot_product_attention import (
+    DecomposeScaledDotProductAttention,
+)
+from .annotator import annotate
+from .qconfig import get_quant_config, Precision
+
+
+class NeuropilotQuantizer(Quantizer):
+
+    def __init__(self):
+        super().__init__()
+
+        # TODO: Provide setter functions for those attributes
+        self._precision = Precision.A8W8
+        self._is_per_channel = True
+        self._is_qat = False
+
+    def setup_precision(self, precision: Precision) -> None:
+        self._precision = precision
+
+    def transform_for_annotation(self, model: GraphModule) -> GraphModule:
+        model = DecomposeScaledDotProductAttention()(model).graph_module
+        return model
+
+    def annotate(self, model: GraphModule) -> GraphModule:
+        self._annotate(model)
+        return model
+
+    def validate(self, model: GraphModule) -> None:
+        pass
+
+    def _annotate(self, gm: GraphModule) -> None:
+        quant_config = get_quant_config(
+            self._precision, self._is_per_channel, self._is_qat
+        )
+        annotate(gm.graph, quant_config)
diff --git a/backends/mediatek/runtime/NeuronBackend.cpp b/backends/mediatek/runtime/NeuronBackend.cpp
new file mode 100644
index 0000000000..e2ac31cec5
--- /dev/null
+++ b/backends/mediatek/runtime/NeuronBackend.cpp
@@ -0,0 +1,185 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#include "NeuronBackend.h"
+#include "NeuronBufferAllocator.h"
+#include "NeuronLog.h"
+#include "NeuronPayloadHeader.h"
+#include "api/NeuronAdapter.h"
+
+#include "executorch/runtime/core/error.h"
+
+#include <algorithm>
+#include <memory>
+#include <new>
+#include <unordered_set>
+
+namespace torch {
+namespace executor {
+
+const char kHighAddrKey[] = "HighAddr";
+const char kImportForeverKey[] = "ImportForever";
+
+Result<DelegateHandle*> NeuronBackend::init(
+    BackendInitContext& context,
+    FreeableBuffer* processed,
+    ArrayRef<CompileSpec> compile_specs) const {
+  NeuronDelegateSetting setting;
+  for (auto& compile_spec : compile_specs) {
+    if (std::strcmp(compile_spec.key, kHighAddrKey) == 0) {
+      setting.mHighAddr = *static_cast<char*>(compile_spec.value.buffer);
+      LogInfo("NeuronBackend", "IsHighAddr Enable : %d", setting.mHighAddr);
+    } else if (std::strcmp(compile_spec.key, kImportForeverKey) == 0) {
+      setting.mImportForever = *static_cast<char*>(compile_spec.value.buffer);
+      LogInfo(
+          "NeuronBackend",
+          "IsImportForever Enable : %d",
+          setting.mImportForever);
+    } else {
+      LogWarn("NeuronBackend", "unknown compile spec: %s", compile_spec.key);
+    }
+  }
+  auto Payload = NeuronPayload(processed->data(), processed->size());
+  LogInfo(
+      "NeuronBackend",
+      "version %u, input %u, output %u, length %u, payload size: %zu",
+      Payload.Header.Version,
+      Payload.Header.InputCount,
+      Payload.Header.OutputCount,
+      Payload.Header.DataLen,
+      processed->size());
+
+  MemoryAllocator* runtime_allocator = context.get_runtime_allocator();
+  NeuronExecuTorchDelegate* delegate = ET_ALLOCATE_INSTANCE_OR_RETURN_ERROR(
+      runtime_allocator, NeuronExecuTorchDelegate);
+  new (delegate) NeuronExecuTorchDelegate();
+
+  if (delegate == nullptr) {
+    return nullptr;
+  }
+  auto res = delegate->LoadCompiledNetwork(Payload, setting);
+  return res == NEURON_NO_ERROR ? delegate : nullptr;
+}
+
+Error NeuronBackend::execute(
+    ET_UNUSED BackendExecutionContext& context,
+    DelegateHandle* handle,
+    EValue** args) const {
+  NeuronExecuTorchDelegate* delegate =
+      reinterpret_cast<NeuronExecuTorchDelegate*>(handle);
+  return delegate->execute(context, args);
+}
+
+void NeuronBackend::destroy(DelegateHandle* handle) const {
+  if (handle != nullptr) {
+    NeuronExecuTorchDelegate* delegate =
+        reinterpret_cast<NeuronExecuTorchDelegate*>(handle);
+    delegate->~NeuronExecuTorchDelegate();
+  }
+}
+
+bool NeuronBackend::is_available() const {
+  return true;
+}
+
+Error NeuronExecuTorchDelegate::execute(
+    BackendExecutionContext& context,
+    EValue** args) const {
+  if (HintNeuronBackend(args) != NEURON_NO_ERROR) {
+    return Error::InvalidState;
+  };
+
+  auto allocator =
+      dynamic_cast<neuron::BufferAllocator*>(context.get_temp_allocator());
+  size_t inputCount = mInputSizes.size(), outputCount = mOutputSizes.size();
+
+  for (int i = 0; i < inputCount; i++) {
+    auto data_ptr = args[i]->toTensor().data_ptr();
+    auto data_size = args[i]->toTensor().nbytes();
+    if (IsCached</*isInput=*/true>(i, data_ptr)) {
+      continue;
+    };
+    auto unit = allocator != nullptr ? allocator->Find(data_ptr) : nullptr;
+    if (unit) {
+      UpdateCache<true>(i, data_ptr);
+      size_t offset = (char*)data_ptr - (char*)unit->GetAddress();
+      mExecutor.SetInputOutputFromMemory</*isInput*/ true>(
+          i, unit->GetNeuronMemory(), offset, data_size);
+    } else {
+      mExecutor.SetInputOutput</*isInput=*/true>(i, data_ptr, data_size);
+    }
+  }
+
+  for (int o = inputCount; o < inputCount + outputCount; o++) {
+    auto data_ptr = args[o]->toTensor().data_ptr();
+    auto data_size = args[o]->toTensor().nbytes();
+    auto output_index = o - inputCount;
+    if (IsCached</*isInput=*/false>(output_index, data_ptr)) {
+      continue;
+    };
+    auto unit = allocator != nullptr ? allocator->Find(data_ptr) : nullptr;
+    if (unit) {
+      UpdateCache</*isInput=*/false>(output_index, data_ptr);
+      size_t offset = (char*)data_ptr - (char*)unit->GetAddress();
+      mExecutor.SetInputOutputFromMemory</*isInput*/ false>(
+          output_index, unit->GetNeuronMemory(), offset, data_size);
+    } else {
+      mExecutor.SetInputOutput</*isInput=*/false>(
+          output_index, data_ptr, data_size);
+    }
+  }
+
+  return mExecutor.Compute() == NEURON_NO_ERROR ? Error::Ok
+                                                : Error::InvalidState;
+};
+
+int NeuronExecuTorchDelegate::HintNeuronBackend(EValue** args) const {
+  auto HintImportForever = [this](EValue** args) -> int {
+    auto& allocator = GET_NEURON_ALLOCATOR;
+    size_t inputCount = mInputSizes.size(), outputCount = mOutputSizes.size();
+    for (int i = 0; i < inputCount; i++) {
+      auto data_ptr = args[i]->toTensor().data_ptr();
+      if (mHasImported.count(data_ptr)) {
+        continue;
+      }
+      auto unit = allocator.Find(data_ptr);
+      if (unit) {
+        mExecutor.SetInputOutputFromMemory</*isInput*/ true>(
+            i, unit->GetNeuronMemory(), 0, unit->GetSize());
+        mHasImported.insert(data_ptr);
+      }
+    }
+    for (int o = inputCount; o < inputCount + outputCount; o++) {
+      auto data_ptr = args[o]->toTensor().data_ptr();
+      if (mHasImported.count(data_ptr)) {
+        continue;
+      }
+      auto output_index = o - inputCount;
+      auto unit = allocator.Find(data_ptr);
+      if (unit) {
+        mExecutor.SetInputOutputFromMemory</*isInput*/ false>(
+            output_index, unit->GetNeuronMemory(), 0, unit->GetSize());
+        mHasImported.insert(data_ptr);
+      }
+    }
+    return NEURON_NO_ERROR;
+  };
+  if (mSettings.mImportForever) {
+    CHECK_NO_ERROR(HintImportForever(args));
+  }
+  return NEURON_NO_ERROR;
+}
+
+} // namespace executor
+} // namespace torch
+
+namespace {
+auto cls = torch::executor::NeuronBackend();
+torch::executor::Backend backend{"NeuropilotBackend", &cls};
+static auto success_with_compiler = register_backend(backend);
+} // namespace
diff --git a/backends/mediatek/runtime/NeuronExecutor.cpp b/backends/mediatek/runtime/NeuronExecutor.cpp
new file mode 100644
index 0000000000..39d1bf22d6
--- /dev/null
+++ b/backends/mediatek/runtime/NeuronExecutor.cpp
@@ -0,0 +1,168 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#include "NeuronExecutor.h"
+#include "NeuronLog.h"
+#include "api/NeuronAdapter.h"
+
+#include <string>
+#include <vector>
+
+#define RESTORE_DLA_EXTENSION_OPERAND_TYPE 0x0100
+#define RESTORE_DLA_EXTENSION_OPERATION_TYPE 0x0000
+#define RESTORE_DLA_EXTENSION_NAME "com.mediatek.compiled_network"
+
+namespace torch {
+namespace executor {
+namespace neuron {
+
+NeuronExecutor::NeuronExecutor(){};
+
+int NeuronExecutor::LoadFromCompiledNetwork(
+    const void* buffer,
+    size_t size,
+    int inputCount,
+    int outputCount,
+    std::string& runtimeOption) {
+  NeuronModel* model = nullptr;
+  NeuronCompilation* compilation = nullptr;
+  NeuronExecution* execution = nullptr;
+
+  std::vector<NeuronOperandType> mInputOperand;
+  std::vector<NeuronOperandType> mOutputOperand;
+  // ---------------------------Model------------------------------------
+  int err = NEURON_NO_ERROR;
+  err |= NeuronModel_create(&model);
+  CHECK_NO_ERROR(err);
+
+  mModel = std::unique_ptr<NeuronModel, NeuronDeleter>(model);
+
+  std::vector<uint32_t> input_op_number;
+  // fake input, the real outputs are loaded by compiled network.
+  NeuronOperandType fakeInputOperandType{
+      .type = NEURON_TENSOR_FLOAT32,
+      .dimensionCount = 0,
+      .scale = 0.0f,
+      .zeroPoint = 0,
+  };
+
+  for (int i = 0; i < inputCount; i++) {
+    mInputOperand.push_back(fakeInputOperandType);
+  }
+  for (int i = 0; i < mInputOperand.size(); i++) {
+    err |= NeuronModel_addOperand(model, &mInputOperand[i]);
+    input_op_number.emplace_back(i);
+  }
+
+  int32_t operandType = 0;
+  const uint16_t network_operand_restore_data =
+      RESTORE_DLA_EXTENSION_OPERAND_TYPE;
+  const char* extensionRestoreCompiledNetwork = RESTORE_DLA_EXTENSION_NAME;
+  err |= NeuronModel_getExtensionOperandType(
+      model,
+      extensionRestoreCompiledNetwork,
+      network_operand_restore_data,
+      &operandType);
+  CHECK_NO_ERROR(err);
+
+  NeuronOperandType extenOperandType{
+      .type = operandType,
+      .dimensionCount = 0,
+      .scale = 0.0f,
+      .zeroPoint = 0,
+  };
+
+  err |= NeuronModel_addOperand(model, &extenOperandType);
+  CHECK_NO_ERROR(err);
+  input_op_number.emplace_back(input_op_number.size());
+
+  // fake output, the real outputs are loaded by compiled network.
+  NeuronOperandType fakeOutputOperandType{
+      .type = NEURON_TENSOR_FLOAT32,
+      .dimensionCount = 0,
+      .scale = 0.0f,
+      .zeroPoint = 0,
+  };
+
+  for (int i = 0; i < outputCount; i++) {
+    mOutputOperand.push_back(fakeOutputOperandType);
+  }
+
+  std::vector<uint32_t> output_op_number;
+  for (int i = 0; i < mOutputOperand.size(); i++) {
+    err |= NeuronModel_addOperand(model, &mOutputOperand[i]);
+    output_op_number.emplace_back(i + input_op_number.size());
+  }
+
+  CHECK_NO_ERROR(err);
+
+  err |=
+      NeuronModel_setOperandValue(model, input_op_number.back(), buffer, size);
+
+  int32_t operationType = 0;
+  const uint16_t network_operation_type_restore =
+      RESTORE_DLA_EXTENSION_OPERATION_TYPE;
+  err |= NeuronModel_getExtensionOperationType(
+      model,
+      extensionRestoreCompiledNetwork,
+      network_operation_type_restore,
+      &operationType);
+
+  CHECK_NO_ERROR(err);
+
+  // Add extension operation
+  err |= NeuronModel_addOperation(
+      model,
+      (NeuronOperationType)operationType,
+      input_op_number.size(),
+      input_op_number.data(),
+      output_op_number.size(),
+      output_op_number.data());
+
+  CHECK_NO_ERROR(err);
+
+  // Identify input and output
+  err |= NeuronModel_identifyInputsAndOutputs(
+      model,
+      input_op_number.size() - 1,
+      input_op_number.data(),
+      output_op_number.size(),
+      output_op_number.data());
+
+  CHECK_NO_ERROR(err);
+
+  err |= NeuronModel_finish(model);
+  CHECK_NO_ERROR(err);
+  // ---------------------------Compilation------------------------------------
+  // err = NeuronCompilation_e(model, &compilation) != NEURON_NO_ERROR;
+  err = NeuronCompilation_createWithOptions(
+      model, &compilation, runtimeOption.c_str());
+  CHECK_NO_ERROR(err);
+
+  mCompilation = std::unique_ptr<NeuronCompilation, NeuronDeleter>(compilation);
+
+  err |=
+      NeuronCompilation_setPreference(compilation, NEURON_PREFER_TURBO_BOOST);
+  err |= NeuronCompilation_setPriority(compilation, NEURON_PRIORITY_HIGH);
+  CHECK_NO_ERROR(err);
+
+  err = NeuronCompilation_finish(compilation);
+  CHECK_NO_ERROR(err);
+
+  // ---------------------------Execution------------------------------------
+  // Create Neuron executor instance.
+  err = NeuronExecution_create(compilation, &execution);
+  CHECK_NO_ERROR(err);
+  mExecution = std::unique_ptr<NeuronExecution, NeuronDeleter>(execution);
+
+  return NEURON_NO_ERROR;
+}
+
+} // namespace neuron
+} // namespace executor
+} // namespace torch
diff --git a/backends/mediatek/runtime/include/NeuronBackend.h b/backends/mediatek/runtime/include/NeuronBackend.h
new file mode 100644
index 0000000000..7a22956de6
--- /dev/null
+++ b/backends/mediatek/runtime/include/NeuronBackend.h
@@ -0,0 +1,172 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#pragma once
+
+#include "NeuronBufferAllocator.h"
+#include "NeuronExecutor.h"
+#include "NeuronLog.h"
+#include "NeuronPayloadHeader.h"
+#include "api/APUWareUtilsLib.h"
+#include "api/NeuronAdapter.h"
+
+#include <executorch/runtime/backend/interface.h>
+#include <executorch/runtime/core/error.h>
+#include <executorch/runtime/core/evalue.h>
+
+#include <memory>
+#include <unordered_map>
+#include <unordered_set>
+
+namespace torch {
+namespace executor {
+
+class NeuronBackend final : public ::executorch::runtime::BackendInterface {
+ public:
+  Result<DelegateHandle*> init(
+      BackendInitContext& context,
+      FreeableBuffer* processed,
+      ArrayRef<CompileSpec> compile_specs) const override;
+
+  Error execute(
+      ET_UNUSED BackendExecutionContext& context,
+      DelegateHandle* handle,
+      EValue** args) const override;
+
+  void destroy(DelegateHandle* handle) const override;
+
+  bool is_available() const override;
+};
+
+extern const char kHighAddrKey[];
+extern const char kImportForeverKey[];
+
+struct NeuronDelegateSetting {
+  bool mHighAddr = false;
+
+  bool mImportForever = false;
+
+  std::string ToRuntimeOption() {
+    if (mHighAddr && mImportForever) {
+      return "--apusys-config \"{ \\\"high_addr\\\": true, \\\"import_forever\\\": true }\"";
+    } else if (mHighAddr) {
+      return "--apusys-config \"{ \\\"high_addr\\\": true }\"";
+    } else if (mImportForever) {
+      return "--apusys-config \"{ \\\"import_forever\\\": true }\"";
+    } else {
+      return "";
+    }
+  }
+};
+
+class NeuronExecuTorchDelegate {
+ public:
+  class MemoryCache {
+   public:
+    template <bool isInput>
+    bool IsCached(int i, void* ptr) {
+      const auto& cache = isInput ? mInputCache : mOutputCache;
+      auto it = cache.find(i);
+      return (it != cache.end()) && (ptr == it->second);
+    }
+
+    template <bool isInput>
+    void UpdateCache(int i, void* ptr) {
+      (isInput ? mInputCache[i] : mOutputCache[i]) = ptr;
+      return;
+    }
+
+   private:
+    std::unordered_map<int, void*> mInputCache;
+
+    std::unordered_map<int, void*> mOutputCache;
+  };
+
+  NeuronExecuTorchDelegate() {}
+
+  ~NeuronExecuTorchDelegate() {
+    mPLock->Stop();
+  }
+
+  int LoadCompiledNetwork(
+      NeuronPayload payload,
+      NeuronDelegateSetting options) {
+    mSettings = options;
+    auto runtimeOption = mSettings.ToRuntimeOption();
+    auto res = mExecutor.LoadFromCompiledNetwork(
+        payload.CompiledNetwork,
+        payload.Header.DataLen,
+        payload.Header.InputCount,
+        payload.Header.OutputCount,
+        runtimeOption);
+    CHECK_NO_ERROR(res);
+    CHECK_TRUE(mExecutor.IsValid());
+    SummaryIoCounts();
+    mPLock = std::unique_ptr<ScopePerformancer>(new ScopePerformancer);
+    return NEURON_NO_ERROR;
+  }
+
+  Error execute(ET_UNUSED BackendExecutionContext& context, EValue** args)
+      const;
+
+ private:
+  template <bool isInput>
+  bool IsCached(int index, void* ptr) const {
+    return mCache.IsCached</*isInput=*/isInput>(index, ptr);
+  }
+
+  template <bool isInput>
+  void UpdateCache(int index, void* ptr) const {
+    mCache.UpdateCache<isInput>(index, ptr);
+  }
+
+  int SummaryIoCounts() {
+    for (int i = 0;; i++) {
+      size_t size = mExecutor.GetInputOutputPaddedSize</*isInput*/ true>(i);
+      if (size == 0) {
+        break;
+      }
+      LogInfo("NeuronBackend", "Model input:%d size: %lu", i, size);
+      mInputSizes.push_back(size);
+    }
+    for (int o = 0;; o++) {
+      size_t size = mExecutor.GetInputOutputPaddedSize</*isInput*/ false>(o);
+      if (size == 0) {
+        break;
+      }
+      LogInfo("NeuronBackend", "Model output:%d size: %lu", o, size);
+      mOutputSizes.push_back(size);
+    }
+    return NEURON_NO_ERROR;
+  }
+
+  int HintNeuronBackend(EValue** args) const;
+
+ private:
+  std::vector<size_t> mInputSizes;
+
+  std::vector<size_t> mOutputSizes;
+
+  mutable MemoryCache mCache;
+
+  std::unique_ptr<ScopePerformancer> mPLock;
+
+  neuron::NeuronExecutor mExecutor;
+
+  NeuronDelegateSetting mSettings;
+
+  mutable std::unordered_set<const void*> mHasImported;
+
+ private:
+  NeuronExecuTorchDelegate(const NeuronExecuTorchDelegate&);
+
+  NeuronExecuTorchDelegate operator=(const NeuronExecuTorchDelegate&);
+};
+
+} // namespace executor
+} // namespace torch
diff --git a/backends/mediatek/runtime/include/NeuronBufferAllocator.h b/backends/mediatek/runtime/include/NeuronBufferAllocator.h
new file mode 100644
index 0000000000..58439dea41
--- /dev/null
+++ b/backends/mediatek/runtime/include/NeuronBufferAllocator.h
@@ -0,0 +1,140 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#pragma once
+
+#include "NeuronExecutor.h"
+#include "NeuronLog.h"
+#include "api/NeuronAdapter.h"
+
+#include <android/hardware_buffer.h>
+
+#include <executorch/runtime/core/memory_allocator.h>
+
+#include <map>
+#include <memory>
+#include <mutex>
+#include <new>
+
+#define GET_NEURON_ALLOCATOR \
+  ::torch::executor::neuron::BufferAllocator::GetInstance()
+
+namespace torch {
+namespace executor {
+namespace neuron {
+
+struct BufferDeleter {
+  void operator()(AHardwareBuffer* buffer) {
+    if (buffer != nullptr) {
+      AHardwareBuffer_unlock(buffer, nullptr);
+      AHardwareBuffer_release(buffer);
+    }
+  }
+};
+
+class MemoryUnit {
+ public:
+  static std::unique_ptr<MemoryUnit> Create(size_t size) {
+    auto obj = std::unique_ptr<MemoryUnit>(new (std::nothrow) MemoryUnit(size));
+    return (obj && (obj->Allocate() == NEURON_NO_ERROR)) ? std::move(obj)
+                                                         : nullptr;
+  }
+
+  ~MemoryUnit() {
+    mNeuronMemory.reset();
+    mAhwb.reset();
+  }
+
+  size_t GetSize() const {
+    return mSize;
+  }
+
+  void* GetAddress() const {
+    return mAddress;
+  }
+
+  NeuronMemory* GetNeuronMemory() const {
+    return mNeuronMemory.get();
+  }
+
+ private:
+  explicit MemoryUnit(size_t size) : mSize(size) {}
+
+  int Allocate() {
+    AHardwareBuffer_Desc iDesc{
+        .width = static_cast<uint32_t>(mSize),
+        .height = 1,
+        .layers = 1,
+        .format = AHARDWAREBUFFER_FORMAT_BLOB,
+        .usage = mAhwbType,
+        .stride = static_cast<uint32_t>(mSize),
+    };
+    AHardwareBuffer* Abuffer = nullptr;
+    AHardwareBuffer_allocate(&iDesc, &Abuffer);
+    CHECK_VALID_PTR(Abuffer);
+    mAhwb = std::unique_ptr<AHardwareBuffer, BufferDeleter>(Abuffer);
+
+    NeuronMemory* memory = nullptr;
+    NeuronMemory_createFromAHardwareBuffer(Abuffer, &memory);
+    CHECK_VALID_PTR(memory);
+    mNeuronMemory = std::unique_ptr<NeuronMemory, NeuronDeleter>(memory);
+
+    AHardwareBuffer_lock(Abuffer, mAhwbType, -1, nullptr, &mAddress);
+    CHECK_VALID_PTR(mAddress);
+    return NEURON_NO_ERROR;
+  }
+
+ private:
+  std::unique_ptr<NeuronMemory, NeuronDeleter> mNeuronMemory;
+
+  std::unique_ptr<AHardwareBuffer, BufferDeleter> mAhwb;
+
+  uint64_t mAhwbType = AHARDWAREBUFFER_USAGE_CPU_READ_OFTEN |
+      AHARDWAREBUFFER_USAGE_CPU_WRITE_OFTEN;
+
+  void* mAddress = nullptr;
+
+  size_t mSize = 0;
+};
+
+class BufferAllocator : public MemoryAllocator {
+ public:
+  static BufferAllocator& GetInstance();
+
+  void* Allocate(size_t size);
+
+  void* allocate(size_t size, size_t alignment = kDefaultAlignment) override {
+    return Allocate(size);
+  }
+
+  bool RemoveBuffer(void* address);
+
+  const MemoryUnit* Find(void* address);
+
+  void Clear();
+
+ private:
+  BufferAllocator() : MemoryAllocator(0, nullptr) {}
+
+  BufferAllocator(const BufferAllocator&) = delete;
+
+  BufferAllocator& operator=(const BufferAllocator&) = delete;
+
+  ~BufferAllocator() override {
+    Clear();
+  }
+
+ private:
+  std::map<void*, std::unique_ptr<MemoryUnit>> mPool;
+
+  std::mutex mMutex;
+};
+
+} // namespace neuron
+} // namespace executor
+} // namespace torch
diff --git a/backends/mediatek/runtime/include/NeuronExecutor.h b/backends/mediatek/runtime/include/NeuronExecutor.h
new file mode 100644
index 0000000000..d0d38757aa
--- /dev/null
+++ b/backends/mediatek/runtime/include/NeuronExecutor.h
@@ -0,0 +1,123 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#pragma once
+
+#include "NeuronLog.h"
+#include "api/NeuronAdapter.h"
+#include "api/NeuronAdapterShim.h"
+
+#include <cstddef>
+#include <cstdint>
+#include <memory>
+#include <string>
+#include <vector>
+
+namespace torch {
+namespace executor {
+namespace neuron {
+
+struct NeuronDeleter {
+  void operator()(NeuronModel* model) {
+    if (model != nullptr) {
+      NeuronModel_free(model);
+    }
+  }
+  void operator()(NeuronCompilation* compilation) {
+    if (compilation != nullptr) {
+      NeuronCompilation_free(compilation);
+    }
+  }
+  void operator()(NeuronExecution* execution) {
+    if (execution != nullptr) {
+      NeuronExecution_free(execution);
+    }
+  }
+  void operator()(NeuronMemory* memory) {
+    if (memory != nullptr) {
+      NeuronMemory_free(memory);
+    }
+  }
+};
+
+class NeuronExecutor {
+ public:
+  explicit NeuronExecutor();
+
+  int LoadFromCompiledNetwork(
+      const void* buffer,
+      size_t size,
+      int inputCount,
+      int outputCount,
+      std::string& runtimeOption);
+
+  template <bool isInput>
+  int SetInputOutput(uint32_t index, void* buffer, size_t length) const {
+    CHECK_VALID_PTR(buffer);
+    CHECK_VALID_PTR(mExecution);
+    return isInput ? NeuronExecution_setInput(
+                         mExecution.get(), index, nullptr, buffer, length)
+                   : NeuronExecution_setOutput(
+                         mExecution.get(), index, nullptr, buffer, length);
+  }
+
+  template <bool isInput>
+  int SetInputOutputFromMemory(
+      uint32_t index,
+      const NeuronMemory* memory,
+      size_t offset,
+      size_t length) const {
+    CHECK_VALID_PTR(memory);
+    CHECK_VALID_PTR(mExecution);
+    return isInput
+        ? NeuronExecution_setInputFromMemory(
+              mExecution.get(), index, nullptr, memory, offset, length)
+        : NeuronExecution_setOutputFromMemory(
+              mExecution.get(), index, nullptr, memory, offset, length);
+  }
+
+  template <bool isInput>
+  size_t GetInputOutputPaddedSize(int32_t index) const {
+    CHECK_VALID_PTR(mCompilation);
+    size_t size = 0;
+    auto res = isInput
+        ? NeuronCompilation_getInputPaddedSize(mCompilation.get(), index, &size)
+        : NeuronCompilation_getOutputPaddedSize(
+              mCompilation.get(), index, &size);
+    return res == NEURON_NO_ERROR ? size : 0;
+  }
+
+  int Compute() const {
+    CHECK_VALID_PTR(mExecution);
+    return NeuronExecution_compute(mExecution.get());
+  }
+
+  bool IsValid() const {
+    return mExecution != nullptr;
+  }
+
+ private:
+  std::unique_ptr<NeuronModel, NeuronDeleter> mModel;
+
+  std::unique_ptr<NeuronCompilation, NeuronDeleter> mCompilation;
+
+  std::unique_ptr<NeuronExecution, NeuronDeleter> mExecution;
+
+  std::vector<size_t> mInputSizes;
+
+  std::vector<size_t> mOutputSizes;
+
+ private:
+  NeuronExecutor(const NeuronExecutor&);
+
+  NeuronExecutor operator=(const NeuronExecutor&);
+};
+
+} // namespace neuron
+} // namespace executor
+} // namespace torch
diff --git a/backends/mediatek/runtime/include/NeuronLog.h b/backends/mediatek/runtime/include/NeuronLog.h
new file mode 100644
index 0000000000..ccf8b24870
--- /dev/null
+++ b/backends/mediatek/runtime/include/NeuronLog.h
@@ -0,0 +1,87 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#pragma once
+
+#include <api/NeuronAdapter.h>
+
+#include <android/log.h>
+#include <sys/system_properties.h>
+
+#include <cstdlib>
+#include <string>
+
+namespace torch {
+namespace executor {
+namespace neuron {
+
+#define AndroidLog(priority, tag, format, ...) \
+  __android_log_print(priority, tag, format, ##__VA_ARGS__)
+
+#define LogError(tag, format, ...) \
+  AndroidLog(ANDROID_LOG_ERROR, tag, format, ##__VA_ARGS__)
+
+#define LogWarn(tag, format, ...) \
+  AndroidLog(ANDROID_LOG_WARN, tag, format, ##__VA_ARGS__)
+
+#define LogInfo(tag, format, ...) \
+  AndroidLog(ANDROID_LOG_INFO, tag, format, ##__VA_ARGS__)
+
+#define STRINGIFY(x) #x
+#define TOSTRING(x) STRINGIFY(x)
+
+#define CHECK_VALID_PTR(ptr)                                               \
+  do {                                                                     \
+    if (__builtin_expect(ptr == nullptr, 0)) {                             \
+      LogError(                                                            \
+          "NeuronBackend",                                                 \
+          "Check fail: " #ptr                                              \
+          " == nullptr at line " TOSTRING(__LINE__) " at file " __FILE__); \
+      return NEURON_UNEXPECTED_NULL;                                       \
+    }                                                                      \
+  } while (0)
+
+#define CHECK_NO_ERROR(value)                                            \
+  do {                                                                   \
+    if (__builtin_expect(value != NEURON_NO_ERROR, 0)) {                 \
+      LogError(                                                          \
+          "NeuronBackend",                                               \
+          "Check fail: " #value " != NEURON_NO_ERROR at line " TOSTRING( \
+              __LINE__) " at file " __FILE__);                           \
+      return value;                                                      \
+    }                                                                    \
+  } while (0)
+
+#define CHECK_TRUE(value)                                               \
+  do {                                                                  \
+    if (__builtin_expect(value != true, 0)) {                           \
+      LogError(                                                         \
+          "NeuronBackend",                                              \
+          "Check fail: " #value                                         \
+          " != true at line " TOSTRING(__LINE__) " at file " __FILE__); \
+      return NEURON_BAD_STATE;                                          \
+    }                                                                   \
+  } while (0)
+
+inline int ReadSystemProperty(std::string& property) {
+  char property_value[PROP_VALUE_MAX];
+  if (__system_property_get(property.c_str(), property_value)) {
+    LogInfo("Get System Property  %s : %s", property.c_str(), property_value);
+    try {
+      int value = std::stoi(property_value);
+      return value;
+    } catch (...) {
+      return -1;
+    }
+  }
+  return -1;
+}
+
+} // namespace neuron
+} // namespace executor
+} // namespace torch
diff --git a/backends/mediatek/runtime/include/NeuronPayloadHeader.h b/backends/mediatek/runtime/include/NeuronPayloadHeader.h
new file mode 100644
index 0000000000..786b4e957f
--- /dev/null
+++ b/backends/mediatek/runtime/include/NeuronPayloadHeader.h
@@ -0,0 +1,31 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#pragma once
+
+#include <cstdint>
+
+struct __attribute__((packed)) NeuronPayloadHeader {
+  unsigned char Version;
+
+  uint32_t InputCount;
+
+  uint32_t OutputCount;
+
+  uint32_t DataLen;
+};
+
+struct NeuronPayload {
+  NeuronPayload(const void* payload, size_t size)
+      : Header(*(struct NeuronPayloadHeader*)payload),
+        CompiledNetwork((char*)payload + sizeof(struct NeuronPayloadHeader)) {}
+
+  NeuronPayloadHeader Header;
+
+  void* CompiledNetwork = nullptr;
+};
diff --git a/backends/mediatek/runtime/include/api/APUWareUtilsLib.h b/backends/mediatek/runtime/include/api/APUWareUtilsLib.h
new file mode 100644
index 0000000000..8ade536e25
--- /dev/null
+++ b/backends/mediatek/runtime/include/api/APUWareUtilsLib.h
@@ -0,0 +1,167 @@
+/*
+ * Copyright (C) 2023 MediaTek Inc., this file is modified on 02/26/2021
+ * by MediaTek Inc. based on MIT License .
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the ""Software""), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in
+ * all copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED ""AS IS"", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+
+#pragma once
+
+#include <android/log.h>
+#include <dlfcn.h>
+#include <cstdlib>
+#include <memory>
+#include <string>
+#include <thread>
+#include <utility>
+using namespace std;
+
+typedef enum {
+  LOW_POWER_MODE = 0, // For model execution preference
+  FAST_SINGLE_ANSWER_MODE, // For model execution preference
+  SUSTAINED_SPEED_MODE, // For model execution preference
+  FAST_COMPILE_MODE, // For model compile preference
+  PERFORMANCE_MODE_MAX,
+} PERFORMANCE_MODE_E;
+
+//------------------------------------- -------------------------------------
+#define APUWARE_LOG_D(format, ...) \
+  __android_log_print(             \
+      ANDROID_LOG_DEBUG, "APUWARELIB", format "\n", ##__VA_ARGS__);
+
+#define APUWARE_LOG_E(format, ...) \
+  __android_log_print(             \
+      ANDROID_LOG_ERROR, "APUWARELIB", format "\n", ##__VA_ARGS__);
+
+inline void* voidFunction() {
+  return nullptr;
+}
+
+// ApuWareUtils library construct
+struct ApuWareUtilsLib {
+  static struct ApuWareUtilsLib& GetInstance() {
+    static struct ApuWareUtilsLib instance;
+    return instance;
+  }
+
+  ApuWareUtilsLib() {
+    load();
+  }
+
+  using AcquirePerformanceLockPtr =
+      std::add_pointer<int32_t(int32_t, PERFORMANCE_MODE_E, uint32_t)>::type;
+  using AcquirePerfParamsLockPtr =
+      std::add_pointer<int32_t(int32_t, uint32_t, int32_t[], uint32_t)>::type;
+  using ReleasePerformanceLockPtr = std::add_pointer<bool(int32_t)>::type;
+
+  // Open a given library and load symbols
+  bool load() {
+    void* handle = nullptr;
+    const std::string libraries[] = {
+        "libapuwareutils_v2.mtk.so", "libapuwareutils.mtk.so"};
+    for (const auto& lib : libraries) {
+      handle = dlopen(lib.c_str(), RTLD_LAZY | RTLD_LOCAL);
+      if (handle) {
+        APUWARE_LOG_D("dlopen %s", lib.c_str());
+        acquirePerformanceLock =
+            reinterpret_cast<decltype(acquirePerformanceLock)>(
+                dlsym(handle, "acquirePerformanceLockInternal"));
+        acquirePerfParamsLock =
+            reinterpret_cast<decltype(acquirePerfParamsLock)>(
+                dlsym(handle, "acquirePerfParamsLockInternal"));
+        releasePerformanceLock =
+            reinterpret_cast<decltype(releasePerformanceLock)>(
+                dlsym(handle, "releasePerformanceLockInternal"));
+        return mEnable = acquirePerformanceLock && releasePerformanceLock &&
+            acquirePerfParamsLock;
+      } else {
+        APUWARE_LOG_E("unable to open library %s", lib.c_str());
+      }
+    }
+    return false;
+  }
+
+  bool mEnable = false;
+
+  AcquirePerformanceLockPtr acquirePerformanceLock =
+      reinterpret_cast<decltype(acquirePerformanceLock)>(voidFunction);
+  AcquirePerfParamsLockPtr acquirePerfParamsLock =
+      reinterpret_cast<decltype(acquirePerfParamsLock)>(voidFunction);
+  ReleasePerformanceLockPtr releasePerformanceLock =
+      reinterpret_cast<decltype(releasePerformanceLock)>(voidFunction);
+};
+
+class ScopePerformancer {
+ public:
+  ScopePerformancer(uint32_t ms = 2000)
+      : mLib(ApuWareUtilsLib::GetInstance()), mMs(ms) {
+    mLock = mLib.mEnable;
+    if (mLock) {
+      APUWARE_LOG_D("Powerhal Up");
+      mRunning.store(true);
+      mThread = std::thread(&ScopePerformancer::acquireLockRepeatedly, this);
+    }
+  };
+
+  void Stop() {
+    if (mRunning.load()) {
+      mRunning.store(false);
+      mCond.notify_one();
+    }
+  }
+
+  ~ScopePerformancer() {
+    Stop();
+    if (mThread.joinable()) {
+      mThread.join();
+    }
+    if (mHalHandle != 0 && mLock) {
+      APUWARE_LOG_D("Powerhal Free");
+      mLib.releasePerformanceLock(mHalHandle);
+      mHalHandle = 0;
+    }
+  }
+
+ private:
+  void acquireLockRepeatedly() {
+    std::unique_lock<std::mutex> lock(mMutex);
+    while (mRunning.load()) {
+      mHalHandle =
+          mLib.acquirePerformanceLock(mHalHandle, FAST_SINGLE_ANSWER_MODE, mMs);
+      mCond.wait_for(lock, std::chrono::milliseconds(1000), [this] {
+        return !mRunning.load();
+      });
+    }
+  }
+
+  struct ApuWareUtilsLib mLib;
+
+  bool mLock = false;
+
+  int mHalHandle = 0;
+
+  uint32_t mMs;
+
+  std::atomic<bool> mRunning{false};
+
+  std::thread mThread;
+
+  std::mutex mMutex;
+
+  std::condition_variable mCond;
+};
\ No newline at end of file
diff --git a/backends/mediatek/runtime/include/api/NeuronAdapter.h b/backends/mediatek/runtime/include/api/NeuronAdapter.h
new file mode 100644
index 0000000000..3a4af8299b
--- /dev/null
+++ b/backends/mediatek/runtime/include/api/NeuronAdapter.h
@@ -0,0 +1,2385 @@
+/* Copyright Statement:
+ *
+ * This software/firmware and related documentation ("MediaTek Software") are
+ * protected under relevant copyright laws. The information contained herein
+ * is confidential and proprietary to MediaTek Inc. and/or its licensors.
+ * Without the prior written permission of MediaTek inc. and/or its licensors,
+ * any reproduction, modification, use or disclosure of MediaTek Software,
+ * and information contained herein, in whole or in part, shall be strictly
+ * prohibited.
+ */
+/* MediaTek Inc. (C) 2020. All rights reserved.
+ *
+ * BY OPENING THIS FILE, RECEIVER HEREBY UNEQUIVOCALLY ACKNOWLEDGES AND AGREES
+ * THAT THE SOFTWARE/FIRMWARE AND ITS DOCUMENTATIONS ("MEDIATEK SOFTWARE")
+ * RECEIVED FROM MEDIATEK AND/OR ITS REPRESENTATIVES ARE PROVIDED TO RECEIVER ON
+ * AN "AS-IS" BASIS ONLY. MEDIATEK EXPRESSLY DISCLAIMS ANY AND ALL WARRANTIES,
+ * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE IMPLIED WARRANTIES OF
+ * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE OR NONINFRINGEMENT.
+ * NEITHER DOES MEDIATEK PROVIDE ANY WARRANTY WHATSOEVER WITH RESPECT TO THE
+ * SOFTWARE OF ANY THIRD PARTY WHICH MAY BE USED BY, INCORPORATED IN, OR
+ * SUPPLIED WITH THE MEDIATEK SOFTWARE, AND RECEIVER AGREES TO LOOK ONLY TO SUCH
+ * THIRD PARTY FOR ANY WARRANTY CLAIM RELATING THERETO. RECEIVER EXPRESSLY
+ * ACKNOWLEDGES THAT IT IS RECEIVER'S SOLE RESPONSIBILITY TO OBTAIN FROM ANY
+ * THIRD PARTY ALL PROPER LICENSES CONTAINED IN MEDIATEK SOFTWARE. MEDIATEK
+ * SHALL ALSO NOT BE RESPONSIBLE FOR ANY MEDIATEK SOFTWARE RELEASES MADE TO
+ * RECEIVER'S SPECIFICATION OR TO CONFORM TO A PARTICULAR STANDARD OR OPEN
+ * FORUM. RECEIVER'S SOLE AND EXCLUSIVE REMEDY AND MEDIATEK'S ENTIRE AND
+ * CUMULATIVE LIABILITY WITH RESPECT TO THE MEDIATEK SOFTWARE RELEASED HEREUNDER
+ * WILL BE, AT MEDIATEK'S OPTION, TO REVISE OR REPLACE THE MEDIATEK SOFTWARE AT
+ * ISSUE, OR REFUND ANY SOFTWARE LICENSE FEES OR SERVICE CHARGE PAID BY RECEIVER
+ * TO MEDIATEK FOR SUCH MEDIATEK SOFTWARE AT ISSUE.
+ *
+ * The following software/firmware and/or related documentation ("MediaTek
+ * Software") have been modified by MediaTek Inc. All revisions are subject to
+ * any receiver's applicable license agreements with MediaTek Inc.
+ */
+
+/**
+ * @file NeuronAdapter.h
+ */
+
+#pragma once
+
+#ifdef __ANDROID__
+#pragma clang diagnostic push
+#pragma clang diagnostic ignored "-Wnullability-extension"
+#include <android/hardware_buffer.h>
+#pragma clang diagnostic pop
+#endif
+
+#include <stddef.h>
+#include <stdint.h>
+#include <sys/cdefs.h>
+
+__BEGIN_DECLS
+
+/**
+ * NeuronModel is an opaque type that contains a description of the mathematical
+ * operations that constitute the model.
+ */
+typedef struct NeuronModel NeuronModel;
+
+/**
+ * NeuronCompilation is an opaque type that can be used to compile a machine
+ * learning model.
+ */
+typedef struct NeuronCompilation NeuronCompilation;
+
+/**
+ * NeuronExecution is an opaque type that can be used to apply a machine
+ * learning model to a set of inputs.
+ */
+typedef struct NeuronExecution NeuronExecution;
+
+/**
+ * NeuronDevice is an opaque type that represents a device.
+ *
+ * This type is used to query basic properties and supported operations of the
+ * corresponding device, and control which device(s) a model is to be run on.
+ *
+ * Available since 4.1.0
+ */
+typedef struct NeuronDevice NeuronDevice;
+
+/**
+ * This type is used to represent shared memory, memory mapped files, and
+ * similar memories.
+ *
+ * It is the application's responsibility to ensure that there are no uses of
+ * the memory after calling NeuronMemory_free. This includes the execution which
+ * references this memory because of a call to
+ * NeuronExecution_setInputFromMemory or NeuronExecution_setOutputFromMemory.
+ *
+ * Available since 4.1.0
+ */
+typedef struct NeuronMemory NeuronMemory;
+
+/**
+ * NeuronEvent is an opaque type that represents an event
+ * that will be signaled once an execution completes.
+ *
+ * Available since 5.0.0
+ */
+typedef struct NeuronEvent NeuronEvent;
+
+/**
+ * Result codes.
+ */
+typedef enum {
+  NEURON_NO_ERROR = 0,
+  NEURON_OUT_OF_MEMORY = 1,
+  NEURON_INCOMPLETE = 2,
+  NEURON_UNEXPECTED_NULL = 3,
+  NEURON_BAD_DATA = 4,
+  NEURON_OP_FAILED = 5,
+  NEURON_UNMAPPABLE = 6,
+  NEURON_BAD_STATE = 7,
+  NEURON_BAD_VERSION = 8,
+
+  // Available since 5.0.0
+  NEURON_OUTPUT_INSUFFICIENT_SIZE = 9,
+  NEURON_UNAVAILABLE_DEVICE = 10,
+  NEURON_MISSED_DEADLINE_TRANSIENT = 11,
+  NEURON_MISSED_DEADLINE_PERSISTENT = 12,
+  NEURON_RESOURCE_EXHAUSTED_TRANSIENT = 13,
+  NEURON_RESOURCE_EXHAUSTED_PERSISTENT = 14,
+  NEURON_DEAD_OBJECT = 15,
+} NeuronAdapterResultCode;
+
+/**
+ * Operand values with size in bytes that are smaller or equal to this will be
+ * immediately copied into the model.
+ */
+enum { NEURON_MAX_SIZE_OF_IMMEDIATELY_COPIED_VALUES = 128 };
+
+/**
+ * Size of the cache token, in bytes, required from the application.
+ */
+enum { NEURON_BYTE_SIZE_OF_CACHE_TOKEN = 32 };
+
+/**
+ * Operand types.
+ * The type of operands that can be added to a model.
+ *
+ * Some notes on quantized tensors
+ *
+ * <p>NEURON_TENSOR_QUANT8_ASYMM
+ * <p>Attached to this tensor are two numbers that can be used to convert the 8
+ * bit integer to the real value and vice versa. These two numbers are:
+ * - scale: a 32 bit floating point value greater than zero.
+ * - zeroPoint: a 32 bit integer, in range [0, 255].
+ * <p>The formula is: real_value = (integer_value - zero_value) * scale.
+ *
+ * <p>NEURON_TENSOR_QUANT16_SYMM
+ * <p>Attached to this tensor is a number representing real value scale that is
+ * used to convert the 16 bit number to a real value in the following way:
+ * realValue = integerValue * scale. scale is a 32 bit floating point with value
+ * greater than zero.
+ *
+ * <p>NEURON_TENSOR_QUANT8_SYMM_PER_CHANNEL
+ * <p>This tensor is associated with additional fields that can be used to
+ * convert the 8 bit signed integer to the real value and vice versa. These
+ * fields are:
+ * - channelDim: a 32 bit unsigned integer indicating channel dimension.
+ * - scales: an array of positive 32 bit floating point values.
+ * <p>The size of the scales array must be equal to dimensions[channelDim].
+ * NeuronModel_setOperandSymmPerChannelQuantParams must be used to set the
+ * parameters for an Operand of this type. The channel dimension of this tensor
+ * must not be unknown (dimensions[channelDim] != 0). The formula is:
+ * realValue[..., C, ...] = integerValue[..., C, ...] * scales[C] where C is an
+ * index in the Channel dimension.
+ *
+ * <p>NEURON_TENSOR_QUANT16_ASYMM
+ * <p>Attached to this tensor are two numbers that can be used to convert the 16
+ * bit integer to the real value and vice versa. These two numbers are:
+ * - scale: a 32 bit floating point value greater than zero.
+ * - zeroPoint: a 32 bit integer, in range [0, 65535].
+ * <p>The formula is: real_value = (integer_value - zeroPoint) * scale.
+ *
+ * <p>NEURON_TENSOR_QUANT8_SYMM
+ * <p>Attached to this tensor is a number representing real value scale that is
+ * used to convert the 8 bit number to a real value in the following way:
+ * realValue = integerValue * scale. scale is a 32 bit floating point with value
+ * greater than zero.
+ *
+ * <p>NEURON_TENSOR_QUANT8_ASYMM_SIGNED
+ * <P>Attached to this tensor are two numbers that can be used to convert the 8
+ * bit integer to the real value and vice versa. These two numbers are:
+ * - scale: a 32 bit floating point value greater than zero.
+ * - zeroPoint: a 32 bit integer, in range [-128, 127].
+ * <p>The formula is: real_value = (integer_value - zeroPoint) * scale.
+ */
+enum {
+  /** A 32 bit floating point scalar value. */
+  NEURON_FLOAT32 = 0,
+  /** A signed 32 bit integer scalar value. */
+  NEURON_INT32 = 1,
+  /** An unsigned 32 bit integer scalar value. */
+  NEURON_UINT32 = 2,
+  /** A tensor of 32 bit floating point values. */
+  NEURON_TENSOR_FLOAT32 = 3,
+  /** A tensor of 32 bit integer values. */
+  NEURON_TENSOR_INT32 = 4,
+  /** A tensor of 8 bit integers that represent real numbers. */
+  NEURON_TENSOR_QUANT8_ASYMM = 5,
+  /** An 8 bit boolean scalar value. */
+  NEURON_BOOL = 6,
+  /** A tensor of 16 bit signed integers that represent real numbers. */
+  NEURON_TENSOR_QUANT16_SYMM = 7,
+  /** A tensor of IEEE 754 16 bit floating point values. */
+  NEURON_TENSOR_FLOAT16 = 8,
+  /** A tensor of 8 bit boolean values. */
+  NEURON_TENSOR_BOOL8 = 9,
+  /** An IEEE 754 16 bit floating point scalar value. */
+  NEURON_FLOAT16 = 10,
+  /** A tensor of 8 bit signed integers that represent real numbers. */
+  NEURON_TENSOR_QUANT8_SYMM_PER_CHANNEL = 11,
+  /** A tensor of 16 bit unsigned integers that represent real numbers. */
+  NEURON_TENSOR_QUANT16_ASYMM = 12,
+  /** A tensor of 8 bit signed integers that represent real numbers. */
+  NEURON_TENSOR_QUANT8_SYMM = 13,
+  /** A tensor of 8 bit signed integers that represent real numbers. */
+  NEURON_TENSOR_QUANT8_ASYMM_SIGNED = 14,
+  /** A reference to a model. */
+  NEURON_MODEL = 15,
+  /** Extended data type - tensor uint32 */
+  NEURON_EXT_TENSOR_UINT32 = 9001,
+  /** Extended data type -A tensor of 8 bit unsigned integers that represent
+     real numbers. */
+  NEURON_EXT_TENSOR_QUANT8_ASYMM_PER_CHANNEL = 9002,
+  /** Extended data type -A tensor of 4 bit unsigned integers that represent
+     real numbers. */
+  NEURON_EXT_TENSOR_QUANT4_ASYMM = 9003,
+  /** Extended data type -A tensor of 4 bit signed integers that represent real
+     numbers. */
+  NEURON_EXT_TENSOR_QUANT4_ASYMM_SIGNED = 9004,
+  /** Extended data type -A tensor of 4 bit signed integers that represent real
+     numbers. */
+  NEURON_EXT_TENSOR_QUANT4_SYMM = 9005,
+  /** Extended data type -A tensor of 16 bit signed integers that represent real
+     numbers. */
+  NEURON_EXT_TENSOR_QUANT16_ASYMM_SIGNED = 9006,
+  /** Extended data type -A raw tensor. */
+  NEURON_EXT_TENSOR_RAW = 9007,
+  /** Extended data type -A tensor of 8 bit signed integers that represent real
+     numbers. */
+  NEURON_EXT_TENSOR_QUANT8_ASYMM_SIGNED_PER_CHANNEL = 9008,
+};
+
+/**
+ * NeuronOperandType describes the type of an operand.
+ * This structure is used to describe both scalars and tensors.
+ */
+typedef struct NeuronOperandType {
+  /** The data type, e.g NEURON_INT8. */
+  int32_t type;
+  /** The number of dimensions. It should be 0 for scalars. */
+  uint32_t dimensionCount;
+  /** The dimensions of the tensor. It should be nullptr for scalars. */
+  const uint32_t* dimensions;
+  /**
+   * These two fields are only used for quantized tensors.
+   * They should be zero for scalars and non-fixed point tensors.
+   * The dequantized value of each entry is (value - zeroPoint) * scale.
+   */
+  float scale;
+  /** Only used with scale for quantized tensors */
+  int32_t zeroPoint;
+} NeuronOperandType;
+
+/**
+ * Parameters for NEURON_TENSOR_QUANT8_SYMM_PER_CHANNEL operand.
+ */
+typedef struct NeuronSymmPerChannelQuantParams {
+  /** The index of the channel dimension. */
+  uint32_t channelDim;
+  /** The size of the scale array. Should be equal to dimension[channelDim] of
+   * the Operand. */
+  uint32_t scaleCount;
+  /** The array of scaling values for each channel. Each value must be greater
+   * than zero. */
+  const float* scales;
+} NeuronSymmPerChannelQuantParams;
+
+/**
+ * Parameters for NEURON_TENSOR_QUANT8_SYMM_PER_CHANNEL and
+ * NEURON_TENSOR_QUANT8_ASYMM_PER_CHANNEL operand.
+ */
+typedef struct NeuronPerChannelQuantParams {
+  /** The index of the channel dimension. */
+  uint32_t channelDim;
+  /** The size of the scale array. Should be equal to dimension[channelDim] of
+   * the Operand. */
+  uint32_t scaleCount;
+  /** The array of scaling values for each channel. Each value must be greater
+   * than zero. */
+  const float* scales;
+  /** The size of the zeroPoints. Should be equal to dimension[channelDim] of
+   * the Operand. */
+  uint32_t zeroPointCount;
+  /** The array of zero point values for each channel. */
+  const int32_t* zeroPoints;
+} NeuronPerChannelQuantParams;
+
+/**
+ * Operation Types
+ *
+ * Supported operations are listed with available versions. See
+ * Neuron_getVersion for querying version number.
+ *
+ * Attempting to compile models with operations marked as not available
+ * will get a compilation failure.
+ *
+ * Refer to the operation support status of each hardware platform.
+ * Attempting to compile models with operations supported by this library but
+ * not supported by the underlying hardware platform will get a compilation
+ * failure too.
+ *
+ * Compatible NNAPI levels are also listed.
+ */
+typedef enum {
+  NEURON_ADD = 0, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_AVERAGE_POOL_2D = 1, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_CONCATENATION = 2, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_CONV_2D = 3, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_DEPTHWISE_CONV_2D = 4, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_DEPTH_TO_SPACE = 5, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_DEQUANTIZE = 6, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_EMBEDDING_LOOKUP = 7, ///< Not available.
+  NEURON_FLOOR = 8, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_FULLY_CONNECTED = 9, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_HASHTABLE_LOOKUP = 10, ///< Not available.
+  NEURON_L2_NORMALIZATION = 11, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_L2_POOL_2D = 12, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_LOCAL_RESPONSE_NORMALIZATION = 13, ///< Not available.
+  NEURON_LOGISTIC = 14, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_LSH_PROJECTION = 15, ///< Not available.
+  NEURON_LSTM = 16, ///< Not available.
+  NEURON_MAX_POOL_2D = 17, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_MUL = 18, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_RELU = 19, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_RELU1 = 20, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_RELU6 = 21, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_RESHAPE = 22, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_RESIZE_BILINEAR = 23, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_RNN = 24, ///< Not available.
+  NEURON_SOFTMAX = 25, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_SPACE_TO_DEPTH = 26, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_SVDF = 27, ///< Not available.
+  NEURON_TANH = 28, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_BATCH_TO_SPACE_ND = 29, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_DIV = 30, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_MEAN = 31, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_PAD = 32, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_SPACE_TO_BATCH_ND = 33, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_SQUEEZE = 34, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_STRIDED_SLICE = 35, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_SUB = 36, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_TRANSPOSE = 37, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_ABS = 38, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_ARGMAX = 39, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_ARGMIN = 40, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_AXIS_ALIGNED_BBOX_TRANSFORM =
+      41, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_BIDIRECTIONAL_SEQUENCE_LSTM = 42, ///< Not available.
+  NEURON_BIDIRECTIONAL_SEQUENCE_RNN = 43, ///< Not available.
+  NEURON_BOX_WITH_NMS_LIMIT = 44, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_CAST = 45, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_CHANNEL_SHUFFLE = 46, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_DETECTION_POSTPROCESSING = 47, ///< Not available.
+  NEURON_EQUAL = 48, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_EXP = 49, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_EXPAND_DIMS = 50, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_GATHER = 51, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_GENERATE_PROPOSALS = 52, ///< Not available.
+  NEURON_GREATER = 53, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_GREATER_EQUAL = 54, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_GROUPED_CONV_2D = 55, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_HEATMAP_MAX_KEYPOINT = 56, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_INSTANCE_NORMALIZATION =
+      57, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_LESS = 58, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_LESS_EQUAL = 59, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_LOG = 60, ///< Not available.
+  NEURON_LOGICAL_AND = 61, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_LOGICAL_NOT = 62, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_LOGICAL_OR = 63, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_LOG_SOFTMAX = 64, ///< Not available.
+  NEURON_MAXIMUM = 65, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_MINIMUM = 66, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_NEG = 67, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_NOT_EQUAL = 68, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_PAD_V2 = 69, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_POW = 70, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_PRELU = 71, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_QUANTIZE = 72, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_QUANTIZED_16BIT_LSTM = 73, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_RANDOM_MULTINOMIAL = 74, ///< Not available.
+  NEURON_REDUCE_ALL = 75, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_REDUCE_ANY = 76, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_REDUCE_MAX = 77, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_REDUCE_MIN = 78, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_REDUCE_PROD = 79, ///< Not available.
+  NEURON_REDUCE_SUM = 80, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_ROI_ALIGN = 81, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_ROI_POOLING = 82, ///< Not available.
+  NEURON_RSQRT = 83, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_SELECT = 84, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_SIN = 85, ///< Not available.
+  NEURON_SLICE = 86, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_SPLIT = 87, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_SQRT = 88, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_TILE = 89, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_TOPK_V2 = 90, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_TRANSPOSE_CONV_2D = 91, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_UNIDIRECTIONAL_SEQUENCE_LSTM = 92, ///< Not available.
+  NEURON_UNIDIRECTIONAL_SEQUENCE_RNN = 93, ///< Not available.
+  NEURON_RESIZE_NEAREST_NEIGHBOR =
+      94, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_QUANTIZED_LSTM = 95, ///< Not available.
+  NEURON_IF = 96, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_WHILE = 97, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_ELU = 98, ///< Not available.
+  NEURON_HARD_SWISH = 99, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_FILL = 100, ///< Available since 4.1.0. NNAPI level 30.
+  NEURON_RANK = 101, ///< Not available.
+  NEURON_BATCH_MATMUL = 102, ///< Available since 5.1.2. NNAPI FL6.
+  NEURON_PACK = 103, ///< Not available.
+  NEURON_MIRROR_PAD = 104, ///< Not available.
+  NEURON_MIRROR_REVERSE = 105, ///< Not available.
+  /**
+   * Decompress HyFBC to YUV420 frame, support both YUV420_8BITS and
+   * YUV420_10BITS formats. HyFBC (Hybrid Frame Buffer Compression) is a
+   * compressed format used by video decoder (VDEC). This format uses YUV420 to
+   * compress.
+   *
+   * For input part, need to set two inputs with different shape, representing Y
+   * and UV plane respectively. The same HyFBC data will be used for both
+   * inputs. Similarly, the output part also needs to be set to two,
+   * representing Y and UV plane respectively.
+   *
+   * The shape of the two inputs/ outputs (inputY, inputUV, outputY, outputUV)
+   * depends on the original images' shape ([batches, height, width, channels]).
+   * Both height and width shold follow 64 alignment rule. For example, if
+   * original height is 480, its 64 alignment should be 512. For Y plane,
+   * channel size should be 1; for UV plane, channel size should be 2. Besides,
+   * the height and width of UV plane should be half of Y's height and width.
+   * Example:
+   *
+   *      original_img.shape = [1, 384, 640, 3]
+   *      inputY.shape = [1, 384, 640, 1]
+   *      inputUV.shape = [1, 192, 320, 2]
+   *      outputY.shape = [1, 384, 640, 1]
+   *      outputUV.shape = [1, 192, 320, 2]
+   *
+   * Supported tensor {@link OperandCode}:
+   * * {@link NEURON_EXT_TENSOR_RAW} (for inputY, inputUV)
+   * * {@link NEURON_TENSOR_QUANT8_ASYMM} (for outputY, outputUV)
+   * * {@link NEURON_TENSOR_QUANT16_ASYMM} (for outputY, outputUV)
+   * Note:
+   * If image mode is YUV420_8BITS, use NEURON_TENSOR_QUANT8_ASYMM; if mode is
+   * YUV420_10BITS, use NEURON_TENSOR_QUANT16_ASYMM.
+   *
+   * Tensor rank: both input and output require rank 4, with "NHWC" data layout.
+   *
+   * Inputs:
+   * * 0: inputY, a 4-D {@link NEURON_EXT_TENSOR_RAW} tensor.
+   * * 1: inputUV, a 4-D {@link NEURON_EXT_TENSOR_RAW} tensor.
+   * * 2: YHeaderAlignment, an {@link NEURON_INT32} scalar, specifying
+   * the header alignment in Hyfbc format.
+   * * 3: UVHeaderAlignment, an {@link NEURON_INT32} scalar, specifying
+   * the header alignment in Hyfbc format.
+   * * 4: xAlign, an {@link NEURON_INT32} scalar, specifying the frame
+   * width alignment of video decoder.
+   * * 5: yAlign, an {@link NEURON_INT32} scalar, specifying the frame
+   * height alignment of video decoder.
+   * * 6: xOffset, an {@link NEURON_INT32} scalar, specifying the frame
+   * width offset of video decoder.
+   * * 7: yOffset, an {@link NEURON_INT32} scalar, specifying the frame
+   * height offset of video decoder.
+   * * 8: mode, an {@link NEURON_INT32} scalar. Set to 0 for
+   * YUV420_8BITS. Set to 1 for YUV420_10BITS. Note that 8b, 10b here means the
+   * compressed bit width in Hyfbc frame, where the decompressed YUV420 is 8b
+   * for Hyfbc_8b, and YUV420 is 16b for Hyfbc_10b.
+   * * 9: outPitchN, an {@link NEURON_INT32} scalar, specifying the
+   * YUV420 N-axis pitch. Must be set to 1, because only a single batch is
+   * supported for HyfbcDecompress.
+   * * 10: outPitchH, an {@link NEURON_INT32} scalar, specifying the
+   * YUV420 H-axis pitch. Set to the original compressed image height with video
+   * codec alignment.
+   * * 11: outPitchW, an {@link NEURON_INT32} scalar, specifying the
+   * YUV420 W-axis pitch. Set to the original compressed image width with video
+   * codec alignment.
+   * * 12: outPitchC, an {@link NEURON_INT32} scalar, specifying the
+   * YUV420 C-axis pitch. Set to 1 for interleaved YUV420.
+   *
+   * Outputs:
+   * * 0: output Y, a 4-D tensor. Tensor type can be either {@link
+   * NEURON_TENSOR_QUANT8_ASYMM} or {@link
+   * NEURON_TENSOR_QUANT16_ASYMM}, depends on YUV420 bit mode.
+   * * 1: output UV, a 4-D tensor. Tensor type can be either {@link
+   * NEURON_TENSOR_QUANT8_ASYMM} or {@link
+   * NEURON_TENSOR_QUANT16_ASYMM}, depends on YUV420 bit mode.
+   *
+   * Available since NeuroPilot 7.0.0.
+   */
+  NEURON_HYFBCTOYUV420 = 106,
+  /**
+   * Compress YUV420 to AFBC frame, support both YUV420_8BITS and
+   * YUV420_10BITS formats. AFBC (Arm Frame Buffer Compression) is a lossless
+   * compressed image format, created by ARM to reduce the size of images.
+   *
+   * For input part, need to set two inputs with different shape, representing Y
+   * and UV plane respectively. For output part, need to set one output for
+   * AFBC.
+   *
+   * The shape of the two inputs (inputY, inputUV) and output (AFBC)
+   * depends on the original images' shape ([batches, height, width, channels]).
+   * Both height and width shold follow 64 alignment rule. For example, if
+   * original height is 480, its 64 alignment should be 512. For Y plane,
+   * channel size should be 1; for UV plane, channel size should be 2. Besides,
+   * the height and width of UV plane should be half of Y's height and width.
+   * For AFBC output, its height shoud be 3/2 of Y's height, and its width
+   * equals to Y's width. Example:
+   *
+   *      original_img.shape = [1, 384, 640, 3]
+   *      inputY.shape = [1, 384, 640, 1]
+   *      inputUV.shape = [1, 192, 320, 2]
+   *      output.shape = [1, 576, 640, 1]
+   *
+   * Supported tensor {@link OperandCode}:
+   * * {@link NEURON_EXT_TENSOR_RAW} (for output)
+   * * {@link NEURON_TENSOR_QUANT8_ASYMM} (for inputY, inputUV)
+   * * {@link NEURON_TENSOR_QUANT16_ASYMM} (for inputY, inputUV)
+   * Note:
+   * If image mode is YUV420_8BITS, use NEURON_TENSOR_QUANT8_ASYMM; if mode is
+   * YUV420_10BITS, use NEURON_TENSOR_QUANT16_ASYMM.
+   *
+   * Tensor rank: both input and output require rank 4, with "NHWC" data layout.
+   *
+   * Inputs:
+   * * 0: inputY, a 4-D tensor. Tensor type can be either {@link
+   * NEURON_TENSOR_QUANT8_ASYMM} or {@link
+   * NEURON_TENSOR_QUANT16_ASYMM}, depends on YUV420 bit mode.
+   * * 1: inputUV, a 4-D tensor. Tensor type can be either {@link
+   * NEURON_TENSOR_QUANT8_ASYMM} or {@link
+   * NEURON_TENSOR_QUANT16_ASYMM}, depends on YUV420 bit mode.
+   * * 2: HeaderAlignment, an {@link NEURON_INT32} scalar, specifying
+   * the header alignment in AFBC format.
+   * * 3: xAlign, an {@link NEURON_INT32} scalar, specifying the frame
+   * width alignment of AFBC format.
+   * * 4: yAlign, an {@link NEURON_INT32} scalar, specifying the frame
+   * height alignment of AFBC format.
+   * * 5: xOffset, an {@link NEURON_INT32} scalar, specifying the frame
+   * width offset of AFBC format.
+   * * 6: yOffset, an {@link NEURON_INT32} scalar, specifying the frame
+   * height offset of AFBC format.
+   * * 7: mode, an {@link NEURON_INT32} scalar. Set to 0 for
+   * YUV420_8BITS. Set to 1 for YUV420_10BITS. Note that 8b, 10b here means the
+   * compressed bit width in AFBC frame, where the YUV420 must be 8b for
+   * AFBC_8b, and must be 16b for AFBC_10b.
+   * * 8: inPitchN, an {@link NEURON_INT32} scalar, specifying the
+   * YUV420 N-axis pitch. Must be set to 1, because only a single batch is
+   * supported for AfbcCompress.
+   * * 9: inPitchH, an {@link NEURON_INT32} scalar, specifying the
+   * YUV420 H-axis pitch. Set to the expected compressed image height.
+   * * 10: inPitchW, an {@link NEURON_INT32} scalar, specifying the
+   * YUV420 W-axis pitch. Set to the expected compressed image height.
+   * * 11: inPitchC, an {@link NEURON_INT32} scalar, specifying the
+   * YUV420 C-axis pitch. Set to 1 for interleaved YUV420.
+   *
+   * Outputs:
+   * * 0: output, a 4-D {@link NEURON_EXT_TENSOR_RAW} tensor.
+   *
+   * Available since NeuroPilot 7.0.0.
+   */
+  NEURON_YUV420TOAFBC = 107,
+  NEURON_NUMBER_OF_OPERATIONS,
+} NeuronOperationType;
+
+/**
+ * Fused activation function types.
+ */
+typedef enum {
+  // NO fused activation function.
+  NEURON_FUSED_NONE = 0,
+  // Fused ReLU activation function.
+  NEURON_FUSED_RELU = 1,
+  // Fused ReLU1 activation function.
+  NEURON_FUSED_RELU1 = 2,
+  // Fused ReLU6 activation function.
+  NEURON_FUSED_RELU6 = 3,
+} NeuronAdapterFuseCode;
+
+/**
+ * Implicit padding algorithms.
+ */
+typedef enum {
+  /**
+   * SAME padding.
+   * Padding on both ends are the "same":
+   *     padding_to_beginning =  total_padding / 2
+   *     padding_to_end       = (total_padding + 1)/2.
+   * i.e., for even number of padding, padding to both ends are exactly
+   * the same; for odd number of padding, padding to the ending is bigger
+   * than the padding to the beginning by 1.
+   *
+   * total_padding is a function of input, stride and filter size.
+   * It could be computed as follows:
+   *    out_size = (input + stride - 1) / stride;
+   *    needed_input = (out_size - 1) * stride + filter_size
+   *    total_padding = max(0, needed_input - input_size)
+   *  The computation is the same for the horizontal and vertical directions.
+   */
+  NEURON_PADDING_SAME = 1,
+
+  /**
+   * VALID padding.
+   * No padding. When the input size is not evenly divisible by
+   * the filter size, the input at the end that could not fill
+   * the whole filter tile will simply be ignored.
+   */
+  NEURON_PADDING_VALID = 2,
+} NeuronAdapterPaddingCode;
+
+/**
+ * Execution preferences.
+ */
+typedef enum {
+  /* Prefer executing in a way that minimizes battery drain. */
+  NEURON_PREFER_LOW_POWER = 0,
+  /* Prefer executing as fast as possible. (more power consumption)*/
+  NEURON_PREFER_FAST_SINGLE_ANSWER = 1,
+  /* Prefer maximizing the throughput of successive frames */
+  NEURON_PREFER_SUSTAINED_SPEED = 2,
+  /* Prefer executing with turbo boost. (most power consumption) */
+  NEURON_PREFER_TURBO_BOOST = 3,
+} NeuronAdapterPreferenceCode;
+
+/**
+ * Relative execution priority.
+ */
+typedef enum {
+  NEURON_PRIORITY_LOW = 90,
+  NEURON_PRIORITY_MEDIUM = 100,
+  NEURON_PRIORITY_HIGH = 110,
+  NEURON_PRIORITY_DEFAULT = NEURON_PRIORITY_MEDIUM,
+} NeuronAdapterPriorityCode;
+
+/**
+ * Compiler optimization hint.
+ */
+typedef enum {
+  /**
+   * Normal optimization.
+   * Available since 4.3.1
+   */
+  NEURON_OPTIMIZATION_NORMAL = 0,
+  /**
+   * Reduce latency by utilizing as many APU cores as possible.
+   * Available since 4.3.1
+   */
+  NEURON_OPTIMIZATION_LOW_LATENCY = 1 << 0,
+  /**
+   * Reducing DRAM access as more as possible.
+   * Available since 4.4.0
+   */
+  NEURON_OPTIMIZATION_DEEP_FUSION = 1 << 1,
+  /**
+   * Reduce latency by using as many APU cores as possible in batch-dimension.
+   * (For models with batch > 1)
+   * Available since 4.4.0
+   */
+  NEURON_OPTIMIZATION_BATCH_PROCESSING = 1 << 2,
+  /**
+   * Default optimization setting.
+   * Available since 4.3.1
+   */
+  NEURON_OPTIMIZATION_DEFAULT = NEURON_OPTIMIZATION_NORMAL,
+} OptimizationCode;
+
+/**
+ * CPU cache flush hint.
+ */
+typedef enum {
+  /**
+   * Sync input buffer and invalidate output buffer.
+   * Available since 5.0.1
+   */
+  NEURON_CACHE_FLUSH_ENABLE_ALL = 0,
+  /**
+   * Disable sync input buffer.
+   * Available since 5.0.1
+   */
+  NEURON_CACHE_FLUSH_DISABLE_SYNC_INPUT = 1 << 0,
+  /**
+   * Disable invalidate output buffer.
+   * Available since 5.0.1
+   */
+  NEURON_CACHE_FLUSH_DISABLE_INVALIDATE_OUTPUT = 1 << 1,
+  /**
+   * Default cache flush setting.
+   * Available since 5.0.1
+   */
+  NEURON_CACHE_FLUSH_DEFAULT = NEURON_CACHE_FLUSH_ENABLE_ALL,
+} CacheFlushCode;
+
+/**
+ * Compilation Type.
+ */
+typedef enum {
+  /* Normal Compilation Available since 7.0.0 */
+  COMPILATION_TYPE_NORMAL = 0,
+  /* @deprecate */
+  COMPILATION_TYPE_DEBUG_PLUS = 1,
+  /* Batched Execution: Set input/output from memory every time.
+   * Available since 7.0.0
+   */
+  COMPILATION_TYPE_BATCHED = 2,
+  /* One compilation with multi-executions could be created.
+   * Available since 7.0.0
+   */
+  COMPILATION_TYPE_MULTI_EXECUTIONS = 3,
+  /* Batched Execution: Set input/output from memory 1st time and memcpy next
+   * time. Available since 7.0.1
+   */
+  COMPILATION_TYPE_EXECUTION_CONTROLLER = 4,
+} CompilationType;
+
+/**
+ * Supported Feature
+ */
+typedef enum {
+  NEURON_FEATURE_NONE = 0,
+  NEURON_THROUGHPUT_MODE = 1,
+} NeuronFeatureType;
+
+/**
+ * The structure to represent the neuron version.
+ */
+typedef struct {
+  uint8_t major; ///< major version
+  uint8_t minor; ///< minor version
+  uint8_t patch; ///< patch version
+} NeuronRuntimeVersion;
+
+/**
+ * Get the version of Neuron runtime library.
+ *
+ * @param version the version of Neuron runtime library.
+ * @return NEURON_NO_ERROR
+ */
+int Neuron_getVersion(NeuronRuntimeVersion* version);
+
+/**
+ * Get the supported status of feature.
+ *
+ * Available since 7.0.0
+ *
+ * @param type input feature @NeuronFeatureType to check supported or not
+ * @param supported return the supported status
+ * @return NEURON_NO_ERROR if successful.
+ */
+int Neuron_getFeatureSupportedStatus(NeuronFeatureType type, bool* supported);
+
+/**
+ * Get the size of L1 memory in APU.
+ *
+ * Available since 4.3.0
+ *
+ * @param sizeKb L1 memory size in KB
+ * @return NEURON_NO_ERROR if successful.
+ */
+int Neuron_getL1MemorySizeKb(uint32_t* sizeKb);
+
+/**
+ * Creates a shared memory object from a file descriptor.
+ *
+ * For ion descriptor, application should create the ion memory and descriptor
+ * first and then use it in this function.
+ *
+ * Available since 4.1.0 Only supports ion fd.
+ *
+ * @param size The requested size in bytes. Must not be larger than the file
+ * size.
+ * @protect The desired memory protection for the mapping. It is either
+ * PROT_NONE or the bitwise OR of one or more of the following flags: PROT_READ,
+ * PROT_WRITE.
+ * @fd The requested file descriptor. The file descriptor has to be mmap-able.
+ * @offset The offset to the beginning of the file of the area to map.
+ * @memory The memory object to be created. Set to NULL if unsuccessful.
+ */
+int NeuronMemory_createFromFd(
+    size_t size,
+    int protect,
+    int fd,
+    size_t offset,
+    NeuronMemory** memory);
+
+#ifdef __ANDROID__
+/**
+ * Creates a shared memory object from an AHardwareBuffer handle.
+ *
+ * We only support AHardwareBuffer with format AHARDWAREBUFFER_FORMAT_BLOB and
+ * it can only be used for Model inputs and outputs.
+ *
+ * The AHardwareBuffer with AHARDWAREBUFFER_FORMAT_BLOB format can be used the
+ * same way as shared memory created from a file handle. See NeuronMemory for
+ * description on how to use this shared memory.
+ *
+ * The provided AHardwareBuffer must outlive the NeuronMemory object.
+ *
+ * Available since 5.0.0
+ *
+ * @param ahwb The AHardwareBuffer handle.
+ * @param memory The memory object to be created.
+ *               Set to NULL if unsuccessful.
+ *
+ * @return NEURON_NO_ERROR if the request completed normally.
+ *
+ */
+int NeuronMemory_createFromAHardwareBuffer(
+    const AHardwareBuffer* ahwb,
+    NeuronMemory** memory);
+
+#else // __ANDROID__
+
+/**
+ * Not supported at non-android platform
+ *
+ * @return NEURON_BAD_STATE
+ */
+int NeuronMemory_createFromAHardwareBuffer();
+
+#endif
+
+/**
+ * Delete a memory object.
+ *
+ * For ion memory, this function cleans up the internal resource associated with
+ * this memory. Applications should clean up the allocated ion memory after this
+ * function.
+ *
+ * Available since 4.1.0
+ */
+void NeuronMemory_free(NeuronMemory* memory);
+
+/**
+ * Create an empty NeuronModel. The model should be constructed with calls to
+ * NeuronModel_addOperation and NeuronModel_addOperand.
+ *
+ * Available since 4.1.0
+ *
+ * @param model The NeuronModel to be created. Set to NULL if unsuccessful.
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronModel_create(NeuronModel** model);
+
+/**
+ * Destroy a model. The model need not have been finished by a call to
+ * NeuronModel_finish.
+ *
+ * Available since 4.1.0
+ *
+ * @param model The model to be destroyed.
+ */
+void NeuronModel_free(NeuronModel* model);
+
+/**
+ * Indicate that we have finished modifying a model. Required before calling
+ * NeuronCompilation_compile.
+ *
+ * Available since 4.1.0
+ *
+ * @param model The model to be finished.
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronModel_finish(NeuronModel* model);
+
+/**
+ * Add an operand to a model. The order in which the operands are added is
+ * important. The first one added to a model will have the index value 0, the
+ * second 1, etc. These indexes are used as operand identifiers in
+ * NeuronModel_addOperation.
+ *
+ * Available since 4.1.0
+ *
+ * @param model The model to be modified.
+ * @param type The NeuronOperandType that describes the shape of the operand.
+ * Neither the NeuronOperandType nor the dimensions it points to need to outlive
+ * the call to NeuronModel_addOperand.
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronModel_addOperand(NeuronModel* model, const NeuronOperandType* type);
+
+/**
+ * Sets an operand to a constant value.
+ * Values of length smaller or equal to
+ * NEURON_MAX_SIZE_OF_IMMEDIATELY_COPIED_VALUES are immediately copied into the
+ * model. For values of length greater than
+ * NEURON_MAX_SIZE_OF_IMMEDIATELY_COPIED_VALUES, a pointer to the buffer is
+ * stored within the model. The application must not change the content of this
+ * region until all executions using this model have completed. As the data may
+ * be copied during processing, modifying the data after this call yields
+ * undefined results.
+ *
+ * Attempting to modify a model once NeuronModel_finish has been called will
+ * return an error.
+ *
+ * A special notice on the buffer lifetime when the length is greater than
+ * NEURON_MAX_SIZE_OF_IMMEDIATELY_COPIED_VALUES. The provided buffer must
+ * outlive the compilation of this model. I.e. user must keep the buffer
+ * unchanged until NeuronCompilation_finish of this model. This is an internal
+ * optimization comparing to NNAPI. In NNAPI, NN runtime will copy the buffer to
+ * a shared memory between NN runtime and NNAPI HIDL service during
+ * ANNModel_finish, and it will be copied again to the compiled result during
+ * ANNCompilation_finish. In Neuron Adapter, there will be only one copying
+ * during NeuronCompilaiton_finish, so it is required to keep the buffer alive
+ * until NeuronCompilaiton_finish returned.
+ *
+ * Available since 4.1.0
+ *
+ * @param model The model to be modified.
+ * @param index The index of the model operand we're setting.
+ * @param buffer A pointer to the data to use.
+ * @param length The size in bytes of the data value.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronModel_setOperandValue(
+    NeuronModel* model,
+    int32_t index,
+    const void* buffer,
+    size_t length);
+/**
+ * Sets an operand to a value that is a reference to another NeuronModel.
+ *
+ * The referenced model must already have been finished by a call to
+ * NeuronModel_finish.
+ *
+ * The NeuronModel_relaxComputationFloat32toFloat16 setting of referenced models
+ * is overridden by that setting of the main model of a compilation.
+ *
+ * The referenced model must outlive the model referring to it.
+ *
+ * Attempting to modify a model once NeuronModel_finish has been called will
+ * return an error.
+ *
+ * Available since 4.1.0
+ *
+ * @param model The model to be modified.
+ * @param index The index of the model operand we're setting.
+ * @param value The model to be referenced.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronModel_setOperandValueFromModel(
+    NeuronModel* model,
+    int32_t index,
+    const NeuronModel* value);
+
+/**
+ * Sets an operand's per channel quantization parameters
+ * Sets parameters required by a tensor of type
+ * NEURON_TENSOR_QUANT8_SYMM_PER_CHANNEL This function must be called for every
+ * tensor of type NEURON_TENSOR_QUANT8_SYMM_PER_CHANNEL before calling
+ * NeuronModel_finish
+ *
+ * Available since 4.1.0
+ *
+ * @param model The model to be modified.
+ * @param index The index of the model operand we're setting.
+ * @param channelQuant The per channel quantization parameters for the operand.
+ * No memory in this struct needs to outlive the call to this function.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronModel_setOperandSymmPerChannelQuantParams(
+    NeuronModel* model,
+    int32_t index,
+    const NeuronSymmPerChannelQuantParams* channelQuant);
+
+/**
+ * Sets an operand's per channel quantization parameters
+ * Sets parameters required by a tensor of type
+ * NEURON_TENSOR_QUANT8_SYMM_PER_CHANNEL or
+ * NEURON_TENSOR_QUANT8_ASYMM_PER_CHANNEL.
+ * This function must be called for every tensor of type
+ * NEURON_TENSOR_QUANT8_SYMM_PER_CHANNEL or
+ * NEURON_TENSOR_QUANT8_ASYMM_PER_CHANNEL before calling NeuronModel_finish.
+ *
+ * Available since 6.0.0
+ *
+ * @param model The model to be modified.
+ * @param index The index of the model operand we're setting.
+ * @param channelQuant The per channel quantization parameters(include
+ * per-channel offset) for the operand. No memory in this struct needs to
+ * outlive the call to this function.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronModel_setOperandPerChannelQuantParams(
+    NeuronModel* model,
+    int32_t index,
+    const NeuronPerChannelQuantParams* channelQuant);
+
+/**
+ * Add an operation to a model.
+ * The operands specified by inputs and outputs must have been previously added
+ * by calls to NeuronModel_addOperand.
+ *
+ * Available since 4.1.0
+ *
+ * @param model The model to be modified.
+ * @param type The NeuronOperationType of the operation.
+ * @param inputCount The number of entries in the inputs array.
+ * @param inputs An array of indexes identifying each operand.
+ * @param outputCount The number of entries in the outputs array.
+ * @param outputs An array of indexes identifying each operand.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronModel_addOperation(
+    NeuronModel* model,
+    NeuronOperationType type,
+    uint32_t inputCount,
+    const uint32_t* inputs,
+    uint32_t outputCount,
+    const uint32_t* outputs);
+
+/**
+ * Add an operation extension to a model.
+ * The operands specified by inputs and outputs must have been previously added
+ * by calls to NeuronModel_addOperand. User needs to specify the operation
+ * extension name and the desired device which will execute the operation
+ * extension.
+ *
+ * Available since 4.1.0
+ *
+ * @param model The model to be modified.
+ * @param name The name of the operation extension.
+ * @param vendor The name of the vendor which will implement the operation
+ * extension.
+ * @param device The device which will execute the operation extension.
+ * @param inputCount The number of entries in the inputs array.
+ * @param inputs An array of indexes identifying each operand.
+ * @param outputCount The number of entries in the outputs array.
+ * @param outputs An array of indexes identifying each operand.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronModel_addOperationExtension(
+    NeuronModel* model,
+    const char* name,
+    const char* vendor,
+    const NeuronDevice* device,
+    uint32_t inputCount,
+    const uint32_t* inputs,
+    uint32_t outputCount,
+    const uint32_t* outputs);
+
+/**
+ * Specfifies which operands will be the model's inputs and outputs.
+ * An operand cannot be used for both input and output. Doing so will return an
+ * error.
+ *
+ * The operands specified by inputs and outputs must have been
+ * previously added by calls to NeuronModel_addOperand.
+ *
+ * Attempting to modify a model once NeuronModel_finish has been
+ * called will return an error.
+ *
+ * Available since 4.1.0
+ *
+ * @param model The model to be modified.
+ * @param inputCount The number of entries in the inputs array.
+ * @param inputs An array of indexes identifying the input operands.
+ * @param outputCount The number of entries in the outputs array.
+ * @param outputs An array of indexes identifying the output operands.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronModel_identifyInputsAndOutputs(
+    NeuronModel* model,
+    uint32_t inputCount,
+    const uint32_t* inputs,
+    uint32_t outputCount,
+    const uint32_t* outputs);
+
+/**
+ * Gets the supported operations in a model.
+ * This function must be called after calling NeuronModel_finish
+ *
+ * Available since 4.1.0
+ *
+ * @param model The model to be queried.
+ * @param supported The boolean array to be filled. True means supported. The
+ * size of the boolean array must be at least as large as the number of
+ * operations in the model. The order of elements in the supported array matches
+ * the order in which the corresponding operations were added to the model.
+ * @param operationCount number of operations in the model
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronModel_getSupportedOperations(
+    NeuronModel* model,
+    bool* supported,
+    uint32_t operationCount);
+
+/**
+ * Get the supported operations for a specified set of devices.
+ * If multiple devices are selected, the supported operation list is a union of
+ * supported operations of all selected devices.
+ *
+ * Available since 4.1.0
+ *
+ * @param model The model to be queried.
+ * @param devices Selected devices
+ * @param numDevices Number of selected devices
+ * @param supportedOps The boolean array to be filled. True means supported. The
+ * size of the boolean array must be as least as large as the number of
+ * operations in the model. The order of elements in the supportedOps array
+ * matches the order in which the corresponding operations were added to the
+ * model.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronModel_getSupportedOperationsForDevices(
+    const NeuronModel* model,
+    const NeuronDevice* const* devices,
+    uint32_t numDevices,
+    bool* supportedOps);
+
+/**
+ * Specifies whether NEURON_TENSOR_FLOAT32 is allowed to be calculated with
+ * range and/or precision as low as that of the IEEE 754 16-bit floating-point
+ * format. By default, NEURON_TENSOR_FLOAT32 must be calculated using at least
+ * the range and precision of the IEEE 754 32-bit floating-point format.
+ *
+ * Available since 4.1.0
+ *
+ * @param model The model to be modified.
+ * @param allow 'true' indicates NEURON_TENSOR_FLOAT32 may be calculated with
+ * range and/or precision as low as that of the IEEE 754 16-bit floating point
+ * format. 'false' indicates NEURON_TENSOR_FLOAT32 must be calculated using at
+ * least the range and precision of the IEEE 754 32-bit floating point format.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronModel_relaxComputationFloat32toFloat16(
+    NeuronModel* model,
+    bool allow);
+
+/**
+ * Hint compiler to suppress the input data conversion, the users have to
+ * convert the input data into platform-expected format before inference.
+ *
+ * Available since 4.2.0
+ *
+ * @param model The model to be modified.
+ * @param suppress True to suppress the input data conversion.
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronModel_suppressInputConversion(NeuronModel* model, bool suppress);
+
+/**
+ * Hint compiler to suppress the output data conversion, the users have to
+ * convert the output data from platform-generated format before inference.
+ *
+ * Available since 4.2.0
+ *
+ * @param model The model to be modified.
+ * @param suppress True to suppress the output data conversion.
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronModel_suppressOutputConversion(NeuronModel* model, bool suppress);
+
+/**
+ * Restore the compiled network using user provided buffer.
+ *
+ * The restored NeuronCompilaton could be used in creating executing instance.
+ * The restored NeuronModel cannot be recompiled.
+ *
+ * Available since 4.3.0
+ *
+ * @param model Restored model.
+ * @param compilation Restored compilation
+ * @param buffer User provided buffer to restore the compiled network.
+ * @param size Size of the user provided buffer in bytes.
+ * @return NEURON_NO_ERROR if compiled network is successfully copied to the
+ * user allocated buffer. NEURON_BAD_DATA if it fails to load the compiled
+ * network, this could either be the version is not matched or the data is
+ * corrupted.
+ */
+int NeuronModel_restoreFromCompiledNetwork(
+    NeuronModel** model,
+    NeuronCompilation** compilation,
+    const void* buffer,
+    const size_t size);
+
+/**
+ * Restore the compiled network using user provided buffer.
+ * Support multiple compilation type; choices are: COMPILATION_TYPE_BATCHED,
+ * COMPILATION_TYPE_EXECUTION_CONTROLLER, COMPILATION_TYPE_EXECUTION_CONTROLLER,
+ * and COMPILATION_TYPE_NORMAL.
+ *
+ * There are two ways to use Batched Compilation:
+ * 1) load from DLA.
+ * 2) create batched compilation directly.
+ * To load DLA, one should call NeuronCompilation_create and
+ * NeuronModel_restoreFromCompiledNetworkV2. To create directly, one should call
+ * NeuronCompilation_createForBatch.
+ *
+ * The restored NeuronCompilaton could be used in creating executing instance.
+ * The restored NeuronModel cannot be recompiled.
+ *
+ * Available since 7.0.0
+ *
+ * @param model Restored model.
+ * @param compilation Restored compilation
+ * @param buffer User provided buffer to restore the compiled network.
+ * @param size Size of the user provided buffer in bytes.
+ * @param type Type of the compilation needed to be restored.
+ * @return NEURON_NO_ERROR if compiled network is successfully copied to the
+ * user allocated buffer. NEURON_BAD_DATA if it fails to load the compiled
+ * network, this could either be the version is not matched or the data is
+ * corrupted.
+ */
+int NeuronModel_restoreFromCompiledNetworkV2(
+    NeuronModel** model,
+    NeuronCompilation** compilation,
+    const void* buffer,
+    const size_t size,
+    const CompilationType& type);
+
+/**
+ * Set a string into model that can be used for recognition for user.
+ * It's only used for debug, the string can be dumped into log and make users
+ * check the model behavior easily.
+ *
+ * Available since 7.0.0
+ *
+ * @param model The model to be modified.
+ * @param name The string, user can free buffer 'name' after calling this API.
+ * @return NEURON_NO_ERROR if the string is set success. NEURON_UNEXPECTED_NULL
+ * if the input param is nullptr.
+ */
+int NeuronModel_setName(NeuronModel* model, const char* name);
+
+/**
+ * Create a NeuronCompilation to compile the given model.
+ *
+ * This function only creates the object. Compilation is only performed once
+ * NeuronCompilation_finish is invoked. NeuronCompilation_finish should be
+ * called once all desired properties have been set on the compilation.
+ * NeuronModel_free should be called once the compilation is no longer needed.
+ * The provided model must outlive the compilation. The model must already have
+ * been finished by a call to NeuronModel_finish.
+ *
+ * Available since 4.1.0
+ *
+ * @param model The NeuronModel to be compiled.
+ * @param compilation The newly created object or NULL if unsuccessful.
+ *
+ * @return NEURON_NO_ERROR if successful
+ */
+int NeuronCompilation_create(
+    NeuronModel* model,
+    NeuronCompilation** compilation);
+
+/**
+ * Create a NeuronCompilation with different purpose to compile the given model.
+ *
+ * This function only creates the object. Compilation is only performed once
+ * NeuronCompilation_finish is invoked. NeuronCompilation_finish should be
+ * called once all desired properties have been set on the compilation.
+ * NeuronModel_free should be called once the compilation is no longer needed.
+ * The provided model must outlive the compilation. The model must already have
+ * been finished by a call to NeuronModel_finish.
+ *
+ * Available since 7.0.1
+ *
+ * @param model The NeuronModel to be compiled.
+ * @param type Type of the compilation needed to be created.
+ * @param options The options which used to create with compilation.
+ * @param compilation The newly created object or NULL if unsuccessful.
+ *
+ * @return NEURON_NO_ERROR if successful
+ */
+int NeuronCompilation_createV2(
+    NeuronModel* model,
+    CompilationType type,
+    const char* options,
+    NeuronCompilation** compilation);
+
+/**
+ * Destroy a compilation.
+ *
+ * Available since 4.1.0
+ *
+ * @param compilation The compilation to be destroyed.
+ */
+void NeuronCompilation_free(NeuronCompilation* compilation);
+
+/**
+ * Compilation is finished once NeuronCompilation_finish is invoked. Required
+ * before calling NeuronExecution_create. This function must only be called once
+ * for a given compilation.
+ *
+ * Available since 4.1.0
+ *
+ * @param compilation The compilation to be finished.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronCompilation_finish(NeuronCompilation* compilation);
+
+/**
+ * Gets the supported operations in a model with specific optimized configures.
+ * This function must be called before calling NeuronCompilation_finish.
+ *
+ * Available since 7.0.0
+ *
+ * @param compilation The compilation to be queried.
+ * @param operationCount number of operations in the model
+ * @param supported The boolean array to be filled. True means supported. The
+ * size of the boolean array must be at least as large as the number of
+ * operations in the model. The order of elements in the supported array matches
+ * the order in which the corresponding operations were added to the model.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronCompilation_getSupportedOperations(
+    NeuronCompilation* compilation,
+    uint32_t operationCount,
+    bool* supported);
+
+/**
+ * Provides optional caching information for faster re-compilation.
+ *
+ * Available since 4.1.0
+ *
+ * @param compilation The compilation to be cached.
+ * @param cacheDir The cache directory for storing and retrieving caching data.
+ * The user should choose a directory local to the application, and is
+ * responsible for managing the cache entries.
+ * @param token The token provided by the user to specify a model must be of
+ * length NEURON_BYTE_SIZE_OF_CACHE_TOKEN. The user should ensure that the token
+ * is unique to a model within the application. Neuron cannot detect token
+ * collisions; a collision will result in a failed execution or in a successful
+ * execution that produces incorrect output values.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronCompilation_setCaching(
+    NeuronCompilation* compilation,
+    const char* cacheDir,
+    const uint8_t* token);
+
+/**
+ * Hint compiler with the size of L1 memory, this value should not be larger
+ * than real platform's settings. The user can get the platform's L1 memory size
+ * in KB by calling Neuron_getL1MemorySizeKb.
+ *
+ * Available since 4.3.0
+ *
+ * @param compilation The compilation to be modified.
+ * @param sizeKb L1 memory size in KB.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronCompilation_setL1MemorySizeKb(
+    NeuronCompilation* compilation,
+    uint32_t sizeKb);
+
+/**
+ * Create a NeuronCompilation to compile the given model for a specified set of
+ * devices. The user must handle all compilation and execution failures from the
+ * specified set of devices. This is in contrast to a use of
+ * NeuronCompilation_create, where neuron will attempt to recover from such
+ * failures.
+ *
+ * Available since 4.1.0
+ *
+ * @param model The NeuronModel to be compiled.
+ * @param devices The set of devices. Must not contain duplicates.
+ * @param numDevices The number of devices in the set.
+ * @param compilation The newly created object or NULL if unsuccessful.
+ *
+ * @return NEURON_NO_ERROR if successful, NEURON_BAD_DATA if the model is
+ * invalid.
+ */
+int NeuronCompilation_createForDevices(
+    NeuronModel* model,
+    const NeuronDevice* const* devices,
+    uint32_t numDevices,
+    NeuronCompilation** compilation);
+
+/**
+ * Create a NeuronCompilation. Which can divide one graph into several subgraph
+ * and use the information to debug.
+ *
+ * Only be used in debug purpose, no guarantees performance and thread safe.
+ *
+ * Available since 5.0.0
+ *
+ * @param model The NeuronModel to be compiled.
+ * @param compilation The newly created object or NULL if unsuccessful.
+ *
+ * @return NEURON_NO_ERROR if successful, NEURON_BAD_DATA if the model is
+ * invalid.
+ */
+int NeuronCompilation_createForDebug(
+    NeuronModel* model,
+    NeuronCompilation** compilation);
+
+/**
+ * Sets the execution preference associated with this compilation.
+ *
+ * Default value of preference is PREFER_SINGLE_FAST_ANSWER
+ *
+ * Available since 4.1.0
+ *
+ * @param compilation The compilation to be modified.
+ * @param preference Either NEURON_PREFER_LOW_POWER,
+ * NEURON_PREFER_SINGLE_FAST_ANSWER, or NEURON_PREFER_SUSTAINED_SPEED.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronCompilation_setPreference(
+    NeuronCompilation* compilation,
+    int32_t preference);
+
+/**
+ * Sets the execution priority associated with this compilation.
+ *
+ * Execution priorities are relative to other executions created by the same
+ * application (specifically same uid) for the same device. Specifically,
+ * priorities of executions from one application will not affect executions from
+ * another application.
+ *
+ * Higher priority executions may use more compute resources than lower priority
+ * executions, and may preempt or starve lower priority executions.
+ *
+ * Available since 4.1.0
+ *
+ * @param compilation The compilation to be modified.
+ * @param priority The relative priority of the execution compared to other
+ * executions created by the application. Must be one of NEURON_PRIORITY_*.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronCompilation_setPriority(NeuronCompilation* compilation, int priority);
+
+/**
+ * Get the padded dimensional information of the specified input operand of the
+ * compilation. This function must be called after calling
+ * NeuronCompilation_finish. If NeuronModel_suppressInputConversion was not
+ * applied to the model to be compiled, the returned dimensions are the padded
+ * dimension after NeuronCompilation_finish to satisfy the optimization
+ * requirement from the underlying hardware accelerators.
+ * If NeuronModel_suppressInputConversion was applied to the model to be
+ * compiled, the returned dimensions are the same as the original dimensions
+ * given from user.
+ *
+ * Available since 4.2.0
+ *
+ * @param compilation The compilation to be queried.
+ * @param index The index of the input operand we are querying. It is an index
+ * into the lists passed to NeuronModel_identifyInputsAndOutputs. It is not the
+ * index associated with NeuronModel_addOperand.
+ * @param dimensions The dimension array to be filled. The size of the array
+ * must be exactly as large as the rank of the input operand to be queried in
+ * the model.
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronCompilation_getInputPaddedDimensions(
+    NeuronCompilation* compilation,
+    int32_t index,
+    uint32_t* dimensions);
+
+/**
+ * Get the padded dimensional information of the specified output operand of the
+ * compilation. This function must be called after calling
+ * NeuronCompilation_finish. If NeuronModel_suppressOutputConversion was not
+ * applied to the model to be compiled, the returned dimensions are the padded
+ * dimension after NeuronCompilation_finish to satisfy the optimization
+ * requirement from the underlying hardware accelerators.
+ * If NeuronModel_suppressOutputConversion was applied to the model to be
+ * compiled, the returned dimensions are the same as the original dimensions
+ * given from user.
+ *
+ * Available since 4.2.0
+ *
+ * @param compilation The compilation to be queried.
+ * @param index The index of the output operand we are querying. It is an index
+ * into the lists passed to NeuronModel_identifyInputsAndOutputs. It is not the
+ * index associated with NeuronModel_addOperand.
+ * @param dimensions The dimension array to be filled. The size of the array
+ * must be exactly as large as the rank of the output operand to be queried in
+ * the model.
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronCompilation_getOutputPaddedDimensions(
+    NeuronCompilation* compilation,
+    int32_t index,
+    uint32_t* dimensions);
+
+/**
+ * Get the expected buffer size (bytes) of the specified input operand of the
+ * compilation. If NeuronModel_suppressInputConversion was not applied to the
+ * model to be compiled, the returned size are the padded size after
+ * NeuronCompilation_finish to satisfy the optimization requirement from the
+ * underlying hardware accelerators. If NeuronModel_suppressInputConversion was
+ * applied to the model to be compiled, the returned size are the same as the
+ * original size given from user.
+ *
+ * Available since 4.2.0
+ *
+ * @param compilation The compilation to be queried.
+ * @param index The index of the input operand we are querying. It is an index
+ * into the lists passed to NeuronModel_identifyInputsAndOutputs. It is not the
+ * index associated with NeuronModel_addOperand.
+ * @param size the expected buffer size in bytes.
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronCompilation_getInputPaddedSize(
+    NeuronCompilation* compilation,
+    int32_t index,
+    size_t* size);
+
+/**
+ * Get the expected buffer size (bytes) of the specified output operand of the
+ * compilation. If NeuronModel_suppressOutputConversion was not applied to the
+ * model to be compiled, the returned size are the padded size after
+ * NeuronCompilation_finish to satisfy the optimization requirement from the
+ * underlying hardware accelerators. If NeuronModel_suppressOutputConversion was
+ * applied to the model to be compiled, the returned size are the same as the
+ * original size given from user.
+ *
+ * Available since 4.2.0
+ *
+ * @param compilation The compilation to be queried.
+ * @param index The index of the output operand we are querying. It is an index
+ * into the lists passed to NeuronModel_identifyInputsAndOutputs. It is not the
+ * index associated with NeuronModel_addOperand.
+ * @param size the expected buffer size in bytes.
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronCompilation_getOutputPaddedSize(
+    NeuronCompilation* compilation,
+    int32_t index,
+    size_t* size);
+
+/**
+ * Get the compiled network size of the compilation.
+ *
+ * This must be called after NeuronCompilation_finished and before
+ * NeuronExecution_create. It is not allowed to call this with a compilation
+ * restored from cache.
+ *
+ * Available since 4.3.0
+ *
+ * @param compilation The compilation to be queried.
+ * @param size The compiled network size in bytes.
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronCompilation_getCompiledNetworkSize(
+    NeuronCompilation* compilation,
+    size_t* size);
+
+/**
+ * Store the compiled network.
+ *
+ * Users have to allocate the buffer with the specified size before calling this
+ * function.
+ *
+ * This must be called after NeuronCompilation_finished and before
+ * NeuronExecution_create. It is not allowed to call this with a compilation
+ * restored from cache.
+ *
+ * Available since 4.3.0
+ *
+ * @param compilation The compilation to be queried.
+ * @param buffer User allocated buffer to store the compiled network.
+ * @param size Size of the user allocated buffer in bytes.
+ * @return NEURON_NO_ERROR if compiled network is successfully copied to the
+ * user allocated buffer.
+ */
+int NeuronCompilation_storeCompiledNetwork(
+    NeuronCompilation* compilation,
+    void* buffer,
+    const size_t size);
+/**
+ * Hint the compiler to apply the optimization strategy according to the user
+ * specified parameters.
+ *
+ * Available since 4.3.0
+ *
+ * @param compilation The compilation to be modified.
+ * @param optimizationCode User specified optimization strategy. Must be one of
+ * NEURON_OPTIMIZATION_* or the inclusive OR value of multiple
+ * NEURON_OPTIMIZATION_*.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronCompilation_setOptimizationHint(
+    NeuronCompilation* compilation,
+    uint32_t optimizationCode);
+
+/**
+ * Hint the compiler to apply the optimization strategy according to the user
+ * specified arguments in a null-terminated string.
+ *
+ * Available since 4.6.0
+ *
+ * @param compilation The compilation to be modified.
+ * @param optimizationString A null-terminated string to represent the user
+ * specified optimization strategy.
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronCompilation_setOptimizationString(
+    NeuronCompilation* compilation,
+    const char* optimizationString);
+
+/**
+ * Only allow users' optimization string(from
+ * NeuronCompilation_setOptimizationString), the system won't set any compiler
+ * options for them.
+ *
+ * Available since 6.0.5
+ *
+ * @param compilation The compilation to be modified.
+ * @param allow Allow only use user's setting or not.
+ * strategy.
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronCompilation_setOnlyAllowOptimizationString(
+    NeuronCompilation* compilation,
+    bool allow);
+
+/**
+ * Get the compiler hints which are used to apply the optimization strategy
+ * according to the user specified arguments in a null-terminated string.
+ *
+ * Available since 6.0.5
+ *
+ * @param compilation The compilation to be modified.
+ * @param optimizationString A null-terminated string to represent the user
+ * specified optimization strategy.
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronCompilation_getOptimizationString(
+    NeuronCompilation* compilation,
+    const char** optimizationString);
+
+/**
+ * Hint compiler to trim the model IO alignment.
+ *
+ * Available since 4.4.8
+ *
+ * @param compilation The compilation to be modified.
+ * @param enable 'true' for trimming model IO alignment.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronCompilation_setTrimIOAlignment(
+    NeuronCompilation* compilation,
+    bool enable);
+
+/**
+ * Hint compiler to use software dilated convolution
+ *
+ * Available since 4.4.8
+ *
+ * @param compilation The compilation to be modified.
+ * @param enable 'true' indicates a hint to compiler to use software dilated
+ * convolution
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronCompilation_setSWDilatedConv(
+    NeuronCompilation* compilation,
+    bool enable);
+
+/**
+ * Create a new execution instance by calling the NeuronExecution_create
+ * function. The provided compilation must outlive the execution.
+ *
+ * Available since 4.1.0
+ *
+ * @param compilation The NeuronCompilation to be evaluated.
+ * @param execution The newly created object or NULL if unsuccessful.
+ *
+ * @return NEURON_NO_ERROR if successful
+ */
+int NeuronExecution_create(
+    NeuronCompilation* compilation,
+    NeuronExecution** execution);
+
+/**
+ * Destroy an execution.
+ *
+ * Available since 4.1.0
+ *
+ * @param execution The execution to be destroyed.
+ */
+void NeuronExecution_free(NeuronExecution* execution);
+
+/**
+ * Associate a user buffer with an input of the model of the NeuronExecution.
+ * The provided buffer must outlive the execution.
+ *
+ * Available since 4.1.0
+ *
+ * @param execution The execution to be modified.
+ * @param index The index of the input argument we are setting. It is an index
+ * into the lists passed to NeuronModel_identifyInputsAndOutputs. It is not the
+ * index associated with NeuronModel_addOperand.
+ * @param type The NeuronOperandType of the operand. Currently NeuronAdapter
+ * only takes NULL.
+ * @param buffer The buffer containing the data.
+ * @param length The length in bytes of the buffer.
+ *
+ * @return NEURON_NO_ERROR if successful, NEURON_BAD_DATA if the name is not
+ * recognized or the buffer is too small for the input.
+ */
+int NeuronExecution_setInput(
+    NeuronExecution* execution,
+    int32_t index,
+    const NeuronOperandType* type,
+    const void* buffer,
+    size_t length);
+
+/**
+ * Associate a user buffer with an output of the model of the NeuronExecution.
+ * The provided buffer must outlive the execution.
+ *
+ * Available since 4.1.0
+ *
+ * @param execution The execution to be modified.
+ * @param index The index of the output argument we are setting. It is an index
+ * into the lists passed to NeuronModel_identifyInputsAndOutputs. It is not the
+ * index associated with NeuronModel_addOperand.
+ * @param type The NeuronOperandType of the operand. Currently NeuronAdapter
+ * only takes NULL.
+ * @param buffer The buffer where the data is to be written.
+ * @param length The length in bytes of the buffer.
+ *
+ * @return NEURON_NO_ERROR if successful, NEURON_BAD_DATA if the name is not
+ * recognized or the buffer is too small for the output.
+ */
+int NeuronExecution_setOutput(
+    NeuronExecution* execution,
+    int32_t index,
+    const NeuronOperandType* type,
+    void* buffer,
+    size_t length);
+
+/**
+ * Associate part of a memory object with an input of the model of the
+ * NeuronExecution.
+ *
+ * The provided memory must outlive the execution and should not be changed
+ * during computation.
+ *
+ * Available since 4.1.0
+ *
+ * @param execution The execution to be modified.
+ * @param index The index of the input argument we are setting. It is an index
+ * into the lists passed to NeuronModel_identifyInputsAndOutputs. It is not the
+ * index associated with Neuronodel_addOperand.
+ * @param type The NeuronOperandType of the operand. Currently NueronAdapter
+ * only takes NULL.
+ * @param memory The memory containing the data.
+ * @param offset This specifies the location of the data within the memory. The
+ * offset is in bytes from the start of memory.
+ * @param length The size in bytes of the data value.
+ *
+ * @return NEURON_NO_ERROR if successful, NEURON_BAD_DATA if the name is not
+ * recognized or the buffer is too small for the input.
+ */
+int NeuronExecution_setInputFromMemory(
+    NeuronExecution* execution,
+    uint32_t index,
+    const NeuronOperandType* type,
+    const NeuronMemory* memory,
+    size_t offset,
+    size_t length);
+
+/**
+ * Associate part of a memory object with an output of the model of the
+ * NeuronExecution.
+ *
+ * The provided memory must outlive the execution and should not be changed
+ * during computation.
+ *
+ * Available since 4.1.0
+ *
+ * @param execution The execution to be modified.
+ * @param index The index of the output argument we are setting. It is an index
+ * into the lists passed to NeuronModel_identifyInputsAndOutputs. It is not the
+ * index associated with Neuronodel_addOperand.
+ * @param type The NeuronOperandType of the operand. Currently NueronAdapter
+ * only takes NULL.
+ * @param memory The memory containing the data.
+ * @param offset This specifies the location of the data within the memory. The
+ * offset is in bytes from the start of memory.
+ * @param length The size in bytes of the data value.
+ *
+ * @return NEURON_NO_ERROR if successful, NEURON_BAD_DATA if the name is not
+ * recognized or the buffer is too small for the input.
+ */
+int NeuronExecution_setOutputFromMemory(
+    NeuronExecution* execution,
+    uint32_t index,
+    const NeuronOperandType* type,
+    const NeuronMemory* memory,
+    size_t offset,
+    size_t length);
+
+/**
+ * Schedule synchronous evaluation of the execution.
+ * Returns once the execution has completed and the outputs are ready to be
+ * consumed.
+ *
+ * Available since 4.1.0
+ *
+ * @param execution The execution to be scheduled and executed.
+ *
+ * @return NEURON_NO_ERROR if the execution completed normally. NEURON_BAD_STATE
+ * if the inference fails. Add two return code since 5.0.0
+ * (NEURON_MISSED_DEADLINE_TRANSIENT if  inference timeout, and
+ * NEURON_OUTPUT_INSUFFICIENT_SIZE if given outsize is not sufficient for real
+ * output)
+ *
+ */
+int NeuronExecution_compute(NeuronExecution* execution);
+
+/**
+ * Schedule asynchronous evaluation of the execution with dependencies.
+ *
+ * The execution will wait for all the depending events to be signaled before
+ * starting the evaluation. Once the execution has completed and the outputs
+ * are ready to be consumed, the returned event will be signaled. Depending on
+ * which devices are handling the execution, the event could be backed by a sync
+ * fence. Use NeuronEvent_wait to wait for that event.
+ *
+ * NeuronEvent_wait must be called to recurperate the resources used by the
+ * execution.
+ *
+ * If parts of the execution are scheduled on devices that do not support fenced
+ * execution, the function call may wait for such parts to finish before
+ * returning.
+ *
+ * The function will return an error if any of the events in dependencies is
+ * already in a bad state. After the execution is scheduled, if any of the
+ * events in dependencies does not complete normally, the execution will fail,
+ * and NeuronEvent_wait on the returned event will return an error.
+ *
+ * The function will return an error if any of the execution outputs has a
+ * tensor operand type that is not fully specified.
+ *
+ * @param execution The execution to be scheduled and executed.
+ * @param dependencies A set of depending events. The actual evaluation will not
+ * start until all the events are signaled.
+ * @param num_dependencies The number of events in the dependencies set.
+ * @param duration currently not used
+ * @param event The event that will be signaled on completion. event is set to
+ *              NULL if there's an error.
+ *
+ * @return NEURON_NO_ERROR if the evaluation is successfully scheduled.
+ *
+ * Available since 5.0.0
+ */
+int NeuronExecution_startComputeWithDependencies(
+    NeuronExecution* execution,
+    const NeuronEvent* const* dependencies,
+    uint32_t num_dependencies,
+    uint64_t duration,
+    NeuronEvent** event);
+
+/**
+ * Set the maximum duration of WHILE loops in the specified execution.
+ *
+ * @param execution The execution to be modified.
+ * @param duration The maximum amount of time in nanoseconds.
+ * @return NEURON_NO_ERROR if successful.
+ *
+ * Available since 5.0.0
+ */
+int NeuronExecution_setLoopTimeout(
+    NeuronExecution* execution,
+    uint64_t duration);
+
+/**
+ * Get the default timeout value for WHILE loops.
+ *
+ * @return The default timeout value in nanoseconds.
+ *
+ * Available since 5.0.0
+ */
+uint64_t Neuron_getDefaultLoopTimeout();
+
+/**
+ * Get the maximum timeout value for WHILE loops.
+ *
+ * @return The maximum timeout value in nanoseconds.
+ *
+ * Available since 5.0.0
+ */
+uint64_t Neuron_getMaximumLoopTimeout();
+
+/**
+ * Sets the execution boost hint associated with this execution. Required before
+ * calling NeuronExecution_compute.
+ *
+ * Execution boost is the hint for the device frequency, ranged between 0
+ * (lowest) to 100 (highest). For the compilation with preference set as
+ * NEURON_PREFER_SUSTAINED_SPEED, scheduler guarantees that the executing boost
+ * value would equal to the boost value hint.
+ *
+ * On the other hand, for the compilation with preference set as
+ * NEURON_PREFER_LOW_POWER, scheduler would try to save power by configuring the
+ * executing boost value with some value that is not higher than the boost value
+ * hint.
+ *
+ * Available since 4.1.0
+ *
+ * @param execution The execution to be modified.
+ * @param boostValue The hint for the device frequency, ranged between 0
+ * (lowest) to 100 (highest).
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronExecution_setBoostHint(
+    NeuronExecution* execution,
+    uint8_t boostValue);
+
+/**
+ * Sets the execution CPU cache flush hint associated with this execution.
+ * Required before calling NeuronExecution_setInputFromMemory and
+ * NeuronExecution_setOutputFromMemory.
+ *
+ * Default value of preference is NEURON_CACHE_FLUSH_ENABLE_ALL
+ *
+ * Available since 5.0.1
+ *
+ * @param execution The execution to be modified.
+ * @param hint  It is either NEURON_CACHE_FLUSH_ENABLE_ALL or the bitwise OR
+ * of one or more of the following flags: NEURON_CACHE_FLUSH_DISABLE_SYNC_INPUT,
+ * NEURON_CACHE_FLUSH_DISABLE_INVALIDATE_OUTPUT.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronExecution_setCacheFlushHint(
+    NeuronExecution* execution,
+    uint8_t flushHint);
+
+/**
+ * Get the dimensional information of the specified output operand of the model
+ * of the latest computation evaluated on {@link NeuronExecution}.
+ *
+ * This function may only be invoked when the execution is in the completed
+ * state.
+ *
+ * Available since 5.0.0
+ *
+ * @param execution The execution to be queried.
+ * @param index The index of the output argument we are querying. It is
+ *              an index into the lists passed to {@link
+ * NeuronModel_identifyInputsAndOutputs}.
+ * @param rank The rank of the output operand.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronExecution_getOutputOperandRank(
+    NeuronExecution* execution,
+    int32_t index,
+    uint32_t* rank);
+
+/**
+ * Get the dimensional information of the specified output operand of the model
+ * of the latest computation evaluated on {@link NeuronExecution}. The target
+ * output operand cannot be a scalar.
+ *
+ * This function may only be invoked when the execution is in the completed
+ * state.
+ *
+ * Available since 5.0.0
+ *
+ * @param execution The execution to be queried.
+ * @param index The index of the output argument we are querying. It is
+ *              an index into the lists passed to {@link
+ * NeuronModel_identifyInputsAndOutputs}.
+ * @param dimensions The dimension array to be filled. The size of the array
+ * must be exactly as large as the rank of the output operand to be queried in
+ * the model.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronExecution_getOutputOperandDimensions(
+    NeuronExecution* execution,
+    int32_t index,
+    uint32_t* dimensions);
+
+/**
+ * Create a NeuronCompilation which can create executions with shared static
+ * memory.
+ *
+ * This function only creates the object. Compilation is only performed once
+ * NeuronCompilation_finish is invoked. NeuronCompilation_finish should be
+ * called once all desired properties have been set on the compilation.
+ * NeuronModel_free should be called once the compilation is no longer needed.
+ * The provided model must outlive the compilation. The model must already have
+ * been finished by a call to NeuronModel_finish.
+ *
+ * Available since 7.0.0
+ *
+ * @param model The NeuronModel to be compiled.
+ * @param compilation The newly created object or NULL if unsuccessful.
+ *
+ * @return NEURON_NO_ERROR if successful
+ */
+int NeuronCompilation_createForBatch(
+    NeuronModel* model,
+    NeuronCompilation** compilation);
+
+/**
+ * Set the size of runner pool, and create same number of runners.
+ *
+ * The execution must created by the following steps:
+ * NeuronCompilation_createForBatch, NeuronCompilation_finish,
+ * NeuronExecution_create.
+ *
+ * The execution created from this compilation has to use
+ * NeuronExecution_setRunnerPoolSize to create thread pool and then set a series
+ * of inputs & outputs into the execution. The execution will inference with the
+ * series of inputs.
+ *
+ * Available since 7.0.0
+ *
+ * @param execution The NeuronExecution to be utilized.
+ * @param numRunners The number of runner need to be created.
+ *
+ * @return NEURON_NO_ERROR if successful
+ * @return NEURON_BAD_STATE if the compilation is not created via
+ * NeuronCompilation_createForBatch.
+ */
+int NeuronExecution_setRunnerPoolSize(
+    NeuronExecution* execution,
+    uint8_t numRunners);
+
+/**
+ * Notify the execution that all inputs / outputs have been set.
+ * Should be called after NeuronExecution_setInputFromMemory and
+ * NeuronExecution_setOutputFromMemory.
+ *
+ * The execution must created by the following steps:
+ * NeuronCompilation_createForBatch, NeuronCompilation_finish,
+ * NeuronExecution_create.
+ *
+ * Available since 7.0.0
+ *
+ * @param execution The NeuronExecution to be utilized.
+ *
+ * @return NEURON_NO_ERROR if successful
+ * @return NEURON_BAD_STATE if the compilation is not created via
+ * NeuronCompilation_createForBatch.
+ */
+int NeuronExecution_setBatchDone(NeuronExecution* execution);
+
+/**
+ * Notify the execution that all inputs / outputs have been set.
+ * Should be called after NeuronExecution_setInputFromMemory and
+ * NeuronExecution_setOutputFromMemory.
+ *
+ * The execution must created by the following steps:
+ * 1. NeuronCompilation_createV2 with COMPILATION_TYPE_EXECUTION_CONTROLLER
+ * 2. NeuronCompilation_finish
+ * 3. NeuronExecution_create.
+ * or
+ * 1. NeuronModel_restoreFromCompiledNetworkV2  with
+ * COMPILATION_TYPE_EXECUTION_CONTROLLER
+ * 2. NeuronExecution_create.
+ *
+ * Available since 7.0.1
+ *
+ * @param execution The NeuronExecution to be utilized.
+ * @param idx The index of runner to set the previous inputs and outputs.
+ *
+ * @return NEURON_NO_ERROR if successful
+ * @return NEURON_BAD_STATE if the compilation is not created via
+ *             COMPILATION_TYPE_EXECUTION_CONTROLLER.
+ */
+int NeuronExecution_setIODone(NeuronExecution* execution, int idx);
+
+/**
+ * Create a NeuronCompilation which can create executions with shared static
+ * memory.
+ *
+ * This function only creates the object. Compilation is only performed once
+ * NeuronCompilation_finish is invoked. NeuronCompilation_finish should be
+ * called once all desired properties have been set on the compilation.
+ * NeuronModel_free should be called once the compilation is no longer needed.
+ * The provided model must outlive the compilation. The model must already have
+ * been finished by a call to NeuronModel_finish.
+ *
+ * The executions created from this compilation can be executed at the same
+ * time.
+ *
+ * Available since 7.0.0
+ *
+ * @param model The NeuronModel to be compiled.
+ * @param compilation The newly created object or NULL if unsuccessful.
+ *
+ * @return NEURON_NO_ERROR if successful
+ */
+int NeuronCompilation_createForMultiExecutions(
+    NeuronModel* model,
+    NeuronCompilation** compilation);
+
+/**
+ * Set report path for debug plus.
+ *
+ * Only be used in debug purpose, the execution should be created by
+ * NeuronCompilation_createForDebug compilation.
+ *
+ * Available since 5.0.0
+ *
+ * @param model The model need to be debug.
+ * @param path The path of execution report.
+ *
+ * @return NEURON_NO_ERROR if successful, NEURON_BAD_DATA if the path is empty.
+ */
+int NeuronDebug_setReportPath(NeuronModel* model, const char* path);
+
+/**
+ * Get the number of available devices.
+ *
+ * Available since 4.1.0
+ * @param numDevices The number of devices returned.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int Neuron_getDeviceCount(uint32_t* numDevices);
+
+/**
+ * Get the representation of the specified device.
+ *
+ * Available since 4.1.0
+ *
+ * @param devIndex The index of the specified device. Must be less than the
+ * number of available devices.
+ * @param device The representation of the specified device. The same
+ * representation will always be returned for the specified device.
+ *
+ * @return NEURONNO_ERROR if successful.
+ */
+int Neuron_getDevice(uint32_t devIndex, NeuronDevice** device);
+
+/**
+ * Get the name of the specified device.
+ *
+ * Available since 4.1.0
+ *
+ * @param device The representation of the specified device.
+ * @param name The returned name of the specified device. The name will remain
+ * valid for the duration of the application.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronDevice_getName(const NeuronDevice* device, const char** name);
+
+/**
+ * Get the description of the specified device.
+ *
+ * Available since 5.0.0
+ *
+ * @param device The representation of the specified device.
+ * @param description The returned description of the specified device. The
+ * description will remain valid for the duration of the application.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronDevice_getDescription(
+    const NeuronDevice* device,
+    const char** description);
+
+/*
+ * Destroys the event.
+ *
+ * See NeuronExecution for information on multithreaded usage.
+ *
+ * Available since 5.0.0
+ *
+ * @param event The event object to be destroyed. Passing NULL is acceptable and
+ *              results in no operation.
+ */
+void NeuronEvent_free(NeuronEvent* event);
+
+/*
+ * Force destroys the event without calling NeuronEvent_wait().
+ * If user wants do wait before destroying the event, they should use
+ * NeuronEvent_free.
+ *
+ * See NeuronExecution for information on multithreaded usage.
+ *
+ * Available since 6.0.0
+ *
+ * @param event The event object to be destroyed. Passing NULL is acceptable and
+ *              results in no operation.
+ */
+void NeuronEvent_freeForce(NeuronEvent* event);
+
+/**
+ * Waits until the execution completes.
+ *
+ * More than one thread can wait on an event. When the execution completes,
+ * all threads will be released.
+ *
+ * SeeNeuronExecution for information on multithreaded usage.
+ *
+ * Available since 5.0.0
+ *
+ * @param event The event that will be signaled on completion.
+ * @return NEURON_NO_ERROR if the execution completed normally.
+ *         NEURON_UNMAPPABLE if the execution input or output memory cannot
+ *         be properly mapped.
+ */
+int NeuronEvent_wait(NeuronEvent* event);
+
+/**
+ * Create a NeuronEventfrom a sync_fence file descriptor.
+ *
+ * The newly created NeuronEvent does not take ownership of the provided
+ * sync_fence_fd, it will instead dup the provided sync_fence_fd and own the
+ * duplicate.
+ *
+ * @param sync_fence_fd The sync_fence file descriptor.
+ * @param event The newly created object or NULL if unsuccessful.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ *
+ * Available since 5.0.0
+ */
+int NeuronEvent_createFromSyncFenceFd(int sync_fence_fd, NeuronEvent** event);
+
+/**
+ * Get sync_fence file descriptor from the event.
+ *
+ * If the NeuronEvent is not backed by a sync fence, the sync_fence_fd
+ * will be set to -1, and NEURON_BAD_DATA will be returned.
+ *
+ * See NeuronEvent_createFromSyncFenceFd and
+ * NeuronExecution_startComputeWithDependencies to see how to create an event
+ * backed by a sync fence.
+ *
+ * The user takes ownership of the returned fd, and must close the returned file
+ * descriptor when it is no longer needed.
+ *
+ * @param event An event that is backed by a sync fence.
+ * @param sync_fence_fd The sync_fence file descriptor. The file descriptor will
+ *                      be set to -1 if there is an error.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ *
+ * Available since 5.0.0
+ */
+int NeuronEvent_getSyncFenceFd(const NeuronEvent* event, int* sync_fence_fd);
+
+/**
+ * Queries whether an extension is supported by the driver implementation of the
+ * specified device.
+ *
+ * @param extension The extension name.
+ * @param isExtensionSupported The boolean value indicating whether the
+ * extension is supported.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ *
+ * Available since 5.0.0
+ */
+// Note: Remove "device"
+int NeuronDevice_getExtensionSupport(
+    const char* extensionName,
+    bool* isExtensionSupported);
+
+/**
+ * Creates an operand type from an extension name and an extension operand code.
+ *
+ * See {@link NeuronModel} for information on multithreaded usage.
+ *
+ * Available since 5.0.0
+ *
+ * @param model The model to contain the operand.
+ * @param extensionName The extension name.
+ * @param operandCodeWithinExtension The extension operand code.
+ * @param type The operand type.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronModel_getExtensionOperandType(
+    NeuronModel* model,
+    const char* extensionName,
+    uint16_t operandCodeWithinExtension,
+    int32_t* type);
+
+/**
+ * Creates an operation type from an extension name and an extension operation
+ * code.
+ *
+ * See {@link NeuronModel} for information on multithreaded usage.
+ *
+ * Available since 5.0.0
+ *
+ * @param model The model to contain the operation.
+ * @param extensionName The extension name.
+ * @param operationCodeWithinExtension The extension operation code.
+ * @param type The operation type.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronModel_getExtensionOperationType(
+    NeuronModel* model,
+    const char* extensionName,
+    uint16_t operationCodeWithinExtension,
+    int32_t* type);
+
+/**
+ * Sets extension operand parameters.
+ *
+ * Available since 5.0.0
+ *
+ * @param model The model to be modified.
+ * @param index The index of the model operand we're setting.
+ * @param data A pointer to the extension operand data.
+ *             The data does not have to outlive the call to this function.
+ * @param length The size in bytes of the data value.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronModel_setOperandExtensionData(
+    NeuronModel* model,
+    int32_t index,
+    const void* data,
+    size_t length);
+
+/**
+ * Gets the execution preference associated with this compilation.
+ * This function must be called after calling NeuronCompilation_finish.
+ *
+ * Available since 6.0.0
+ *
+ * @param compilation The compilation to be queried.
+ * @param preference The execution preference will be one of NEURON_PREFER_*.
+ * Ignore preference value if this function doesn't return NEURON_NO_ERROR.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronCompilation_getPreference(
+    NeuronCompilation* compilation,
+    int* preference);
+
+/**
+ * Gets the execution priority associated with this compilation.
+ * This function must be called after calling NeuronCompilation_finish.
+ *
+ * Available since 6.0.0
+ *
+ * @param compilation The compilation to be queried.
+ * @param priority The priority will be one of NEURON_PRIORITY_*. Ignore
+ * priority value if this function doesn't return NEURON_NO_ERROR.
+ *
+ * @return NEURON_NO_ERROR if successful.
+ */
+int NeuronCompilation_getPriority(
+    NeuronCompilation* compilation,
+    int* priority);
+
+int NeuronCompilation_createWithOptions(
+    NeuronModel* model,
+    NeuronCompilation** compilation,
+    const char* options);
+__END_DECLS
diff --git a/backends/mediatek/runtime/include/api/NeuronAdapterShim.h b/backends/mediatek/runtime/include/api/NeuronAdapterShim.h
new file mode 100644
index 0000000000..3b955eb497
--- /dev/null
+++ b/backends/mediatek/runtime/include/api/NeuronAdapterShim.h
@@ -0,0 +1,962 @@
+/* Copyright Statement:
+ *
+ * This software/firmware and related documentation ("MediaTek Software") are
+ * protected under relevant copyright laws. The information contained herein
+ * is confidential and proprietary to MediaTek Inc. and/or its licensors.
+ * Without the prior written permission of MediaTek inc. and/or its licensors,
+ * any reproduction, modification, use or disclosure of MediaTek Software,
+ * and information contained herein, in whole or in part, shall be strictly
+ * prohibited.
+ */
+/* MediaTek Inc. (C) 2020. All rights reserved.
+ *
+ * BY OPENING THIS FILE, RECEIVER HEREBY UNEQUIVOCALLY ACKNOWLEDGES AND AGREES
+ * THAT THE SOFTWARE/FIRMWARE AND ITS DOCUMENTATIONS ("MEDIATEK SOFTWARE")
+ * RECEIVED FROM MEDIATEK AND/OR ITS REPRESENTATIVES ARE PROVIDED TO RECEIVER ON
+ * AN "AS-IS" BASIS ONLY. MEDIATEK EXPRESSLY DISCLAIMS ANY AND ALL WARRANTIES,
+ * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE IMPLIED WARRANTIES OF
+ * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE OR NONINFRINGEMENT.
+ * NEITHER DOES MEDIATEK PROVIDE ANY WARRANTY WHATSOEVER WITH RESPECT TO THE
+ * SOFTWARE OF ANY THIRD PARTY WHICH MAY BE USED BY, INCORPORATED IN, OR
+ * SUPPLIED WITH THE MEDIATEK SOFTWARE, AND RECEIVER AGREES TO LOOK ONLY TO SUCH
+ * THIRD PARTY FOR ANY WARRANTY CLAIM RELATING THERETO. RECEIVER EXPRESSLY
+ * ACKNOWLEDGES THAT IT IS RECEIVER'S SOLE RESPONSIBILITY TO OBTAIN FROM ANY
+ * THIRD PARTY ALL PROPER LICENSES CONTAINED IN MEDIATEK SOFTWARE. MEDIATEK
+ * SHALL ALSO NOT BE RESPONSIBLE FOR ANY MEDIATEK SOFTWARE RELEASES MADE TO
+ * RECEIVER'S SPECIFICATION OR TO CONFORM TO A PARTICULAR STANDARD OR OPEN
+ * FORUM. RECEIVER'S SOLE AND EXCLUSIVE REMEDY AND MEDIATEK'S ENTIRE AND
+ * CUMULATIVE LIABILITY WITH RESPECT TO THE MEDIATEK SOFTWARE RELEASED HEREUNDER
+ * WILL BE, AT MEDIATEK'S OPTION, TO REVISE OR REPLACE THE MEDIATEK SOFTWARE AT
+ * ISSUE, OR REFUND ANY SOFTWARE LICENSE FEES OR SERVICE CHARGE PAID BY RECEIVER
+ * TO MEDIATEK FOR SUCH MEDIATEK SOFTWARE AT ISSUE.
+ *
+ * The following software/firmware and/or related documentation ("MediaTek
+ * Software") have been modified by MediaTek Inc. All revisions are subject to
+ * any receiver's applicable license agreements with MediaTek Inc.
+ */
+
+#pragma once
+
+#include <android/log.h>
+#include <dlfcn.h>
+#include "NeuronAdapter.h"
+
+#define LOAD_ADAPTER_FUNCTION(name) \
+  static name##_fn fn = reinterpret_cast<name##_fn>(loadAdapterFunction(#name));
+
+#define EXECUTE_ADAPTER_FUNCTION(...) \
+  if (fn != nullptr) {                \
+    fn(__VA_ARGS__);                  \
+  }
+
+#define EXECUTE_ADAPTER_FUNCTION_RETURN_INT(...) \
+  return fn != nullptr ? fn(__VA_ARGS__) : -1;
+
+#define EXECUTE_ADAPTER_FUNCTION_RETURN_BOOL(...) \
+  return fn != nullptr ? fn(__VA_ARGS__) : false;
+
+static void* sHandle = nullptr;
+inline void* loadAdapterLibrary(const char* name) {
+  sHandle = dlopen(name, RTLD_LAZY | RTLD_LOCAL);
+  if (sHandle == nullptr) {
+    __android_log_print(
+        ANDROID_LOG_ERROR, "AdapterShimApi", "Unable to open library %s", name);
+  }
+  return sHandle;
+}
+
+inline void* getAdapterLibraryHandle() {
+  if (sHandle == nullptr) {
+    sHandle = loadAdapterLibrary("libneuronusdk_adapter.mtk.so");
+  }
+  if (sHandle == nullptr) {
+    sHandle = loadAdapterLibrary("libneuron_adapter_mgvi.so");
+  }
+  if (sHandle == nullptr) {
+    sHandle = loadAdapterLibrary("libneuron_adapter.so");
+  }
+  return sHandle;
+}
+
+inline void* loadAdapterFunction(const char* name) {
+  void* fn = nullptr;
+  if (getAdapterLibraryHandle() != nullptr) {
+    fn = dlsym(getAdapterLibraryHandle(), name);
+  }
+
+  if (fn == nullptr) {
+    __android_log_print(
+        ANDROID_LOG_ERROR,
+        "AdapterShimApi",
+        "Unable to open function %s",
+        name);
+  }
+
+  return fn;
+}
+
+/*************************************************************************************************/
+typedef int (*Neuron_getVersion_fn)(NeuronRuntimeVersion* version);
+
+typedef int (*Neuron_getFeatureSupportedStatus_fn)(
+    NeuronFeatureType type,
+    bool* supported);
+
+typedef int (*Neuron_getNeuroPilotMagicNumber_fn)(int32_t* magic);
+
+typedef int (*Neuron_getL1MemorySizeKb_fn)(uint32_t* sizeKb);
+
+typedef int (*NeuronModel_create_fn)(NeuronModel** model);
+
+typedef void (*NeuronModel_free_fn)(NeuronModel* model);
+
+typedef int (*NeuronModel_finish_fn)(NeuronModel* model);
+
+typedef int (*NeuronModel_addOperand_fn)(
+    NeuronModel* model,
+    const NeuronOperandType* type);
+
+typedef int (*NeuronModel_setOperandValue_fn)(
+    NeuronModel* model,
+    int32_t index,
+    const void* buffer,
+    size_t length);
+
+typedef int (*NeuronModel_setOperandValueFromModel_fn)(
+    NeuronModel* model,
+    int32_t index,
+    const NeuronModel* value);
+
+typedef int (*NeuronModel_setOperandSymmPerChannelQuantParams_fn)(
+    NeuronModel* model,
+    int32_t index,
+    const NeuronSymmPerChannelQuantParams* channelQuant);
+
+typedef int (*NeuronModel_setOperandPerChannelQuantParams_fn)(
+    NeuronModel* model,
+    int32_t index,
+    const NeuronPerChannelQuantParams* channelQuant);
+
+typedef int (*NeuronModel_addOperation_fn)(
+    NeuronModel* model,
+    NeuronOperationType type,
+    uint32_t inputCount,
+    const uint32_t* inputs,
+    uint32_t outputCount,
+    const uint32_t* outputs);
+
+typedef int (*NeuronModel_addOperationExtension_fn)(
+    NeuronModel* model,
+    const char* name,
+    const char* vendor,
+    const NeuronDevice* device,
+    uint32_t inputCount,
+    const uint32_t* inputs,
+    uint32_t outputCount,
+    const uint32_t* outputs);
+
+typedef int (*NeuronModel_identifyInputsAndOutputs_fn)(
+    NeuronModel* model,
+    uint32_t inputCount,
+    const uint32_t* inputs,
+    uint32_t outputCount,
+    const uint32_t* outputs);
+
+typedef int (*NeuronModel_getSupportedOperations_fn)(
+    NeuronModel* model,
+    bool* supported,
+    uint32_t operationCount);
+
+typedef int (*NeuronModel_getSupportedOperationsForDevices_fn)(
+    const NeuronModel* model,
+    const NeuronDevice* const* devices,
+    uint32_t numDevices,
+    bool* supportedOps);
+
+typedef int (*NeuronModel_relaxComputationFloat32toFloat16_fn)(
+    NeuronModel* model,
+    bool allow);
+
+typedef int (
+    *NeuronModel_suppressInputConversion_fn)(NeuronModel* model, bool suppress);
+
+typedef int (*NeuronModel_suppressOutputConversion_fn)(
+    NeuronModel* model,
+    bool suppress);
+
+typedef int (*NeuronModel_restoreFromCompiledNetwork_fn)(
+    NeuronModel** model,
+    NeuronCompilation** compilation,
+    const void* buffer,
+    const size_t size);
+
+typedef int (*NeuronCompilation_create_fn)(
+    NeuronModel* model,
+    NeuronCompilation** compilation);
+
+typedef int (*NeuronCompilation_createV2_fn)(
+    NeuronModel* model,
+    CompilationType type,
+    const char* options,
+    NeuronCompilation** compilation);
+
+typedef int (*NeuronCompilation_createForDevices_fn)(
+    NeuronModel* model,
+    const NeuronDevice* const* devices,
+    uint32_t numDevices,
+    NeuronCompilation** compilation);
+
+typedef int (*NeuronCompilation_createForDebug_fn)(
+    NeuronModel* model,
+    NeuronCompilation** compilation);
+
+typedef void (*NeuronCompilation_free_fn)(NeuronCompilation* compilation);
+
+typedef int (*NeuronCompilation_finish_fn)(NeuronCompilation* compilation);
+
+typedef int (*NeuronCompilation_getSupportedOperations_fn)(
+    NeuronCompilation* compilation,
+    uint32_t operationCount,
+    bool* supported);
+
+typedef int (*NeuronCompilation_setCaching_fn)(
+    NeuronCompilation* compilation,
+    const char* cacheDir,
+    const uint8_t* token);
+
+typedef int (*NeuronCompilation_setPreference_fn)(
+    NeuronCompilation* compilation,
+    int32_t preference);
+
+typedef int (*NeuronCompilation_setPriority_fn)(
+    NeuronCompilation* compilation,
+    int32_t priority);
+
+typedef int (*NeuronCompilation_getInputPaddedDimensions_fn)(
+    NeuronCompilation* compilation,
+    int32_t index,
+    uint32_t* dimensions);
+
+typedef int (*NeuronCompilation_getOutputPaddedDimensions_fn)(
+    NeuronCompilation* compilation,
+    int32_t index,
+    uint32_t* dimensions);
+
+typedef int (*NeuronCompilation_getInputPaddedSize_fn)(
+    NeuronCompilation* compilation,
+    int32_t index,
+    size_t* size);
+
+typedef int (*NeuronCompilation_getOutputPaddedSize_fn)(
+    NeuronCompilation* compilation,
+    int32_t index,
+    size_t* size);
+
+typedef int (*NeuronCompilation_getCompiledNetworkSize_fn)(
+    NeuronCompilation* compilation,
+    size_t* size);
+
+typedef int (*NeuronCompilation_storeCompiledNetwork_fn)(
+    NeuronCompilation* compilation,
+    void* buffer,
+    const size_t size);
+
+typedef int (*NeuronCompilation_setOptimizationHint_fn)(
+    NeuronCompilation* compilation,
+    uint32_t optimizationCode);
+
+typedef int (*NeuronCompilation_setOptimizationString_fn)(
+    NeuronCompilation* compilation,
+    const char* optimizationString);
+
+typedef int (*NeuronCompilation_setTrimIOAlignment_fn)(
+    NeuronCompilation* compilation,
+    bool enable);
+
+typedef int (*NeuronCompilation_setSWDilatedConv_fn)(
+    NeuronCompilation* compilation,
+    bool enable);
+
+typedef int (*NeuronExecution_create_fn)(
+    NeuronCompilation* compilation,
+    NeuronExecution** execution);
+
+typedef void (*NeuronExecution_free_fn)(NeuronExecution* execution);
+
+typedef int (*NeuronExecution_setInput_fn)(
+    NeuronExecution* execution,
+    int32_t index,
+    const NeuronOperandType* type,
+    const void* buffer,
+    size_t length);
+
+typedef int (*NeuronExecution_setOutput_fn)(
+    NeuronExecution* execution,
+    int32_t index,
+    const NeuronOperandType* type,
+    void* buffer,
+    size_t length);
+
+typedef int (*NeuronExecution_setInputFromMemory_fn)(
+    NeuronExecution* execution,
+    uint32_t index,
+    const NeuronOperandType* type,
+    const NeuronMemory* memory,
+    size_t offset,
+    size_t length);
+
+typedef int (*NeuronExecution_setOutputFromMemory_fn)(
+    NeuronExecution* execution,
+    uint32_t index,
+    const NeuronOperandType* type,
+    const NeuronMemory* memory,
+    size_t offset,
+    size_t length);
+
+typedef int (*NeuronMemory_createFromFd_fn)(
+    size_t size,
+    int protect,
+    int fd,
+    size_t offset,
+    NeuronMemory** memory);
+
+typedef int (*NeuronMemory_createFromAHardwareBuffer_fn)(
+    const AHardwareBuffer* ahwb,
+    NeuronMemory** memory);
+
+typedef void (*NeuronMemory_free_fn)(NeuronMemory* memory);
+
+typedef int (*NeuronExecution_compute_fn)(NeuronExecution* execution);
+
+typedef int (*NeuronExecution_startComputeWithDependencies_fn)(
+    NeuronExecution* execution,
+    const NeuronEvent* const* dependencies,
+    uint32_t num_dependencies,
+    uint64_t duration,
+    NeuronEvent** event);
+
+typedef int (
+    *NeuronEvent_getSyncFenceFd_fn)(const NeuronEvent* event, int* syncFenceFd);
+
+typedef int (*NeuronEvent_wait_fn)(NeuronEvent* event);
+
+typedef void (*NeuronEvent_free_fn)(NeuronEvent* event);
+
+typedef int (*NeuronExecution_setLoopTimeout_fn)(
+    NeuronExecution* execution,
+    uint64_t duration);
+
+typedef int (*NeuronExecution_setBoostHint_fn)(
+    NeuronExecution* execution,
+    uint8_t boostValue);
+
+typedef int (*NeuronCompilation_createForMultiExecutions_fn)(
+    NeuronModel* model,
+    NeuronCompilation** compilation);
+
+typedef int (
+    *NeuronDebug_setReportPath_fn)(NeuronModel* model, const char* path);
+
+typedef int (*Neuron_getDeviceCount_fn)(uint32_t* numDevices);
+
+typedef int (*Neuron_getDevice_fn)(uint32_t devIndex, NeuronDevice** device);
+
+typedef int (
+    *NeuronDevice_getName_fn)(const NeuronDevice* device, const char** name);
+
+typedef int (*NeuronDevice_getDescription_fn)(
+    const NeuronDevice* device,
+    const char** description);
+
+typedef int (*NeuronDevice_getExtensionSupport_fn)(
+    const char* extensionName,
+    bool* isExtensionSupported);
+
+typedef int (*NeuronModel_getExtensionOperandType_fn)(
+    NeuronModel* model,
+    const char* extensionName,
+    uint16_t operandCodeWithinExtension,
+    int32_t* type);
+
+typedef int (*NeuronModel_getExtensionOperationType_fn)(
+    NeuronModel* model,
+    const char* extensionName,
+    uint16_t operationCodeWithinExtension,
+    int32_t* type);
+
+typedef int (*NeuronModel_setOperandExtensionData_fn)(
+    NeuronModel* model,
+    int32_t index,
+    const void* data,
+    size_t length);
+
+typedef int (*NeuronCompilation_createForBatch_fn)(
+    NeuronModel* model,
+    NeuronCompilation** compilation);
+
+typedef int (*NeuronModel_restoreFromCompiledNetworkV2_fn)(
+    NeuronModel** model,
+    NeuronCompilation** compilation,
+    const void* buffer,
+    const size_t size,
+    const CompilationType& type);
+
+typedef int (*NeuronExecution_setRunnerPoolSize_fn)(
+    NeuronExecution* execution,
+    uint8_t numRunners);
+
+typedef int (*NeuronExecution_setBatchDone_fn)(NeuronExecution* execution);
+
+typedef int (
+    *NeuronExecution_setIODone_fn)(NeuronExecution* execution, int idx);
+
+typedef int (*NeuronCompilation_createWithOptions_fn)(
+    NeuronModel* model,
+    NeuronCompilation** compilation,
+    const char* options);
+/*************************************************************************************************/
+
+inline int Neuron_getVersion(NeuronRuntimeVersion* version) {
+  LOAD_ADAPTER_FUNCTION(Neuron_getVersion);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(version);
+}
+
+inline int Neuron_getFeatureSupportedStatus(
+    NeuronFeatureType type,
+    bool* supported) {
+  LOAD_ADAPTER_FUNCTION(Neuron_getFeatureSupportedStatus);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(type, supported);
+}
+
+inline int Neuron_getNeuroPilotMagicNumber(int32_t* magic) {
+  LOAD_ADAPTER_FUNCTION(Neuron_getNeuroPilotMagicNumber);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(magic);
+}
+
+inline int Neuron_getL1MemorySizeKb(uint32_t* sizeKb) {
+  LOAD_ADAPTER_FUNCTION(Neuron_getL1MemorySizeKb);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(sizeKb);
+}
+
+inline int NeuronModel_create(NeuronModel** model) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_create);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model);
+}
+
+inline void NeuronModel_free(NeuronModel* model) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_free);
+  EXECUTE_ADAPTER_FUNCTION(model);
+}
+
+inline int NeuronModel_finish(NeuronModel* model) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_finish);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model);
+}
+
+inline int NeuronModel_addOperand(
+    NeuronModel* model,
+    const NeuronOperandType* type) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_addOperand);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, type);
+}
+
+inline int NeuronModel_setOperandValue(
+    NeuronModel* model,
+    int32_t index,
+    const void* buffer,
+    size_t length) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_setOperandValue);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, index, buffer, length);
+}
+
+inline int NeuronModel_setOperandValueFromModel(
+    NeuronModel* model,
+    int32_t index,
+    const NeuronModel* value) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_setOperandValueFromModel);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, index, value);
+}
+
+inline int NeuronModel_setOperandSymmPerChannelQuantParams(
+    NeuronModel* model,
+    int32_t index,
+    const NeuronSymmPerChannelQuantParams* channelQuant) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_setOperandSymmPerChannelQuantParams);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, index, channelQuant);
+}
+
+inline int NeuronModel_setOperandPerChannelQuantParams(
+    NeuronModel* model,
+    int32_t index,
+    const NeuronPerChannelQuantParams* channelQuant) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_setOperandPerChannelQuantParams);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, index, channelQuant);
+}
+
+inline int NeuronModel_addOperation(
+    NeuronModel* model,
+    NeuronOperationType type,
+    uint32_t inputCount,
+    const uint32_t* inputs,
+    uint32_t outputCount,
+    const uint32_t* outputs) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_addOperation);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(
+      model, type, inputCount, inputs, outputCount, outputs);
+}
+
+inline int NeuronModel_addOperationExtension(
+    NeuronModel* model,
+    const char* name,
+    const char* vendor,
+    const NeuronDevice* device,
+    uint32_t inputCount,
+    const uint32_t* inputs,
+    uint32_t outputCount,
+    const uint32_t* outputs) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_addOperationExtension);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(
+      model, name, vendor, device, inputCount, inputs, outputCount, outputs);
+}
+
+inline int NeuronModel_identifyInputsAndOutputs(
+    NeuronModel* model,
+    uint32_t inputCount,
+    const uint32_t* inputs,
+    uint32_t outputCount,
+    const uint32_t* outputs) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_identifyInputsAndOutputs);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(
+      model, inputCount, inputs, outputCount, outputs);
+}
+
+inline int NeuronModel_getSupportedOperations(
+    NeuronModel* model,
+    bool* supported,
+    uint32_t operationCount) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_getSupportedOperations);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, supported, operationCount);
+}
+
+inline int NeuronModel_getSupportedOperationsForDevices(
+    const NeuronModel* model,
+    const NeuronDevice* const* devices,
+    uint32_t numDevices,
+    bool* supportedOps) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_getSupportedOperationsForDevices);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, devices, numDevices, supportedOps);
+}
+
+inline int NeuronCompilation_getSupportedOperations(
+    NeuronCompilation* compilation,
+    uint32_t operationCount,
+    bool* supported) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_getSupportedOperations);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(compilation, operationCount, supported);
+}
+
+inline int NeuronModel_relaxComputationFloat32toFloat16(
+    NeuronModel* model,
+    bool allow) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_relaxComputationFloat32toFloat16);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, allow);
+}
+
+inline int NeuronModel_suppressInputConversion(
+    NeuronModel* model,
+    bool suppress) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_suppressInputConversion);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, suppress);
+}
+
+inline int NeuronModel_suppressOutputConversion(
+    NeuronModel* model,
+    bool suppress) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_suppressOutputConversion);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, suppress);
+}
+
+inline int NeuronModel_restoreFromCompiledNetwork(
+    NeuronModel** model,
+    NeuronCompilation** compilation,
+    const void* buffer,
+    const size_t size) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_restoreFromCompiledNetwork);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, compilation, buffer, size);
+}
+
+inline int NeuronCompilation_create(
+    NeuronModel* model,
+    NeuronCompilation** compilation) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_create);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, compilation);
+}
+
+inline int NeuronCompilation_createV2(
+    NeuronModel* model,
+    CompilationType type,
+    const char* options,
+    NeuronCompilation** compilation) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_createV2);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, type, options, compilation);
+}
+
+inline int NeuronCompilation_createForDevices(
+    NeuronModel* model,
+    const NeuronDevice* const* devices,
+    uint32_t numDevices,
+    NeuronCompilation** compilation) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_createForDevices);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, devices, numDevices, compilation);
+}
+
+inline int NeuronCompilation_createForDebug(
+    NeuronModel* model,
+    NeuronCompilation** compilation) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_createForDebug);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, compilation);
+}
+
+inline void NeuronCompilation_free(NeuronCompilation* compilation) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_free);
+  EXECUTE_ADAPTER_FUNCTION(compilation);
+}
+
+inline int NeuronCompilation_finish(NeuronCompilation* compilation) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_finish);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(compilation);
+}
+
+inline int NeuronCompilation_setCaching(
+    NeuronCompilation* compilation,
+    const char* cacheDir,
+    const uint8_t* token) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_setCaching);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(compilation, cacheDir, token);
+}
+
+inline int NeuronCompilation_setPreference(
+    NeuronCompilation* compilation,
+    int32_t preference) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_setPreference);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(compilation, preference);
+}
+
+inline int NeuronCompilation_setPriority(
+    NeuronCompilation* compilation,
+    int32_t priority) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_setPriority);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(compilation, priority);
+}
+
+inline int NeuronCompilation_getInputPaddedDimensions(
+    NeuronCompilation* compilation,
+    int32_t index,
+    uint32_t* dimensions) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_getInputPaddedDimensions);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(compilation, index, dimensions);
+}
+
+inline int NeuronCompilation_getOutputPaddedDimensions(
+    NeuronCompilation* compilation,
+    int32_t index,
+    uint32_t* dimensions) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_getOutputPaddedDimensions);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(compilation, index, dimensions);
+}
+
+inline int NeuronCompilation_getInputPaddedSize(
+    NeuronCompilation* compilation,
+    int32_t index,
+    size_t* size) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_getInputPaddedSize);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(compilation, index, size);
+}
+
+inline int NeuronCompilation_getOutputPaddedSize(
+    NeuronCompilation* compilation,
+    int32_t index,
+    size_t* size) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_getOutputPaddedSize);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(compilation, index, size);
+}
+
+inline int NeuronCompilation_getCompiledNetworkSize(
+    NeuronCompilation* compilation,
+    size_t* size) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_getCompiledNetworkSize);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(compilation, size);
+}
+
+inline int NeuronCompilation_storeCompiledNetwork(
+    NeuronCompilation* compilation,
+    void* buffer,
+    const size_t size) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_storeCompiledNetwork);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(compilation, buffer, size);
+}
+
+inline int NeuronCompilation_setOptimizationHint(
+    NeuronCompilation* compilation,
+    uint32_t optimizationCode) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_setOptimizationHint);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(compilation, optimizationCode);
+}
+
+inline int NeuronCompilation_setOptimizationString(
+    NeuronCompilation* compilation,
+    const char* optimizationString) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_setOptimizationString);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(compilation, optimizationString);
+}
+
+inline int NeuronCompilation_setTrimIOAlignment(
+    NeuronCompilation* compilation,
+    bool enable) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_setTrimIOAlignment);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(compilation, enable);
+}
+
+inline int NeuronCompilation_setSWDilatedConv(
+    NeuronCompilation* compilation,
+    bool enable) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_setSWDilatedConv);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(compilation, enable);
+}
+
+inline int NeuronExecution_create(
+    NeuronCompilation* compilation,
+    NeuronExecution** execution) {
+  LOAD_ADAPTER_FUNCTION(NeuronExecution_create);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(compilation, execution);
+}
+
+inline void NeuronExecution_free(NeuronExecution* execution) {
+  LOAD_ADAPTER_FUNCTION(NeuronExecution_free);
+  EXECUTE_ADAPTER_FUNCTION(execution);
+}
+
+inline int NeuronExecution_setInput(
+    NeuronExecution* execution,
+    int32_t index,
+    const NeuronOperandType* type,
+    const void* buffer,
+    size_t length) {
+  LOAD_ADAPTER_FUNCTION(NeuronExecution_setInput);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(execution, index, type, buffer, length);
+}
+
+inline int NeuronExecution_setInputFromMemory(
+    NeuronExecution* execution,
+    uint32_t index,
+    const NeuronOperandType* type,
+    const NeuronMemory* memory,
+    size_t offset,
+    size_t length) {
+  LOAD_ADAPTER_FUNCTION(NeuronExecution_setInputFromMemory);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(
+      execution, index, type, memory, offset, length);
+}
+
+inline int NeuronExecution_setOutput(
+    NeuronExecution* execution,
+    int32_t index,
+    const NeuronOperandType* type,
+    void* buffer,
+    size_t length) {
+  LOAD_ADAPTER_FUNCTION(NeuronExecution_setOutput);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(execution, index, type, buffer, length);
+}
+
+inline int NeuronExecution_setOutputFromMemory(
+    NeuronExecution* execution,
+    uint32_t index,
+    const NeuronOperandType* type,
+    const NeuronMemory* memory,
+    size_t offset,
+    size_t length) {
+  LOAD_ADAPTER_FUNCTION(NeuronExecution_setOutputFromMemory);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(
+      execution, index, type, memory, offset, length);
+}
+
+inline int NeuronMemory_createFromFd(
+    size_t size,
+    int protect,
+    int fd,
+    size_t offset,
+    NeuronMemory** memory) {
+  LOAD_ADAPTER_FUNCTION(NeuronMemory_createFromFd);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(size, protect, fd, offset, memory);
+}
+
+inline int NeuronMemory_createFromAHardwareBuffer(
+    const AHardwareBuffer* ahwb,
+    NeuronMemory** memory) {
+  LOAD_ADAPTER_FUNCTION(NeuronMemory_createFromAHardwareBuffer);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(ahwb, memory);
+}
+
+inline void NeuronMemory_free(NeuronMemory* memory) {
+  LOAD_ADAPTER_FUNCTION(NeuronMemory_free);
+  EXECUTE_ADAPTER_FUNCTION(memory);
+}
+
+inline int NeuronExecution_compute(NeuronExecution* execution) {
+  LOAD_ADAPTER_FUNCTION(NeuronExecution_compute);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(execution);
+}
+
+inline int NeuronExecution_startComputeWithDependencies(
+    NeuronExecution* execution,
+    const NeuronEvent* const* dependencies,
+    uint32_t num_dependencies,
+    uint64_t duration,
+    NeuronEvent** event) {
+  LOAD_ADAPTER_FUNCTION(NeuronExecution_startComputeWithDependencies);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(
+      execution, dependencies, num_dependencies, duration, event);
+}
+
+inline int NeuronEvent_getSyncFenceFd(
+    const NeuronEvent* event,
+    int* syncFenceFd) {
+  LOAD_ADAPTER_FUNCTION(NeuronEvent_getSyncFenceFd);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(event, syncFenceFd);
+}
+
+inline int NeuronEvent_wait(NeuronEvent* event) {
+  LOAD_ADAPTER_FUNCTION(NeuronEvent_wait);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(event);
+}
+
+inline void NeuronEvent_free(NeuronEvent* event) {
+  LOAD_ADAPTER_FUNCTION(NeuronEvent_free);
+  EXECUTE_ADAPTER_FUNCTION(event);
+}
+
+inline int NeuronExecution_setLoopTimeout(
+    NeuronExecution* execution,
+    uint64_t duration) {
+  LOAD_ADAPTER_FUNCTION(NeuronExecution_setLoopTimeout);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(execution, duration);
+}
+
+inline int NeuronExecution_setBoostHint(
+    NeuronExecution* execution,
+    uint8_t boostValue) {
+  LOAD_ADAPTER_FUNCTION(NeuronExecution_setBoostHint);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(execution, boostValue);
+}
+
+inline int NeuronCompilation_createForMultiExecutions(
+    NeuronModel* model,
+    NeuronCompilation** compilation) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_createForMultiExecutions);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, compilation);
+}
+
+inline int NeuronDebug_setReportPath(NeuronModel* model, const char* path) {
+  LOAD_ADAPTER_FUNCTION(NeuronDebug_setReportPath);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, path);
+}
+
+inline int Neuron_getDeviceCount(uint32_t* numDevices) {
+  LOAD_ADAPTER_FUNCTION(Neuron_getDeviceCount);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(numDevices);
+}
+
+inline int Neuron_getDevice(uint32_t devIndex, NeuronDevice** device) {
+  LOAD_ADAPTER_FUNCTION(Neuron_getDevice);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(devIndex, device);
+}
+
+inline int NeuronDevice_getName(const NeuronDevice* device, const char** name) {
+  LOAD_ADAPTER_FUNCTION(NeuronDevice_getName);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(device, name);
+}
+
+inline int NeuronDevice_getDescription(
+    const NeuronDevice* device,
+    const char** description) {
+  LOAD_ADAPTER_FUNCTION(NeuronDevice_getDescription);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(device, description);
+}
+
+inline int NeuronDevice_getExtensionSupport(
+    const char* extensionName,
+    bool* isExtensionSupported) {
+  LOAD_ADAPTER_FUNCTION(NeuronDevice_getExtensionSupport);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(extensionName, isExtensionSupported);
+}
+
+inline int NeuronModel_getExtensionOperandType(
+    NeuronModel* model,
+    const char* extensionName,
+    uint16_t operandCodeWithinExtension,
+    int32_t* type) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_getExtensionOperandType);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(
+      model, extensionName, operandCodeWithinExtension, type);
+}
+
+inline int NeuronModel_getExtensionOperationType(
+    NeuronModel* model,
+    const char* extensionName,
+    uint16_t operationCodeWithinExtension,
+    int32_t* type) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_getExtensionOperationType);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(
+      model, extensionName, operationCodeWithinExtension, type);
+}
+
+inline int NeuronModel_setOperandExtensionData(
+    NeuronModel* model,
+    int32_t index,
+    const void* data,
+    size_t length) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_setOperandExtensionData);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, index, data, length);
+}
+
+inline int NeuronCompilation_createForBatch(
+    NeuronModel* model,
+    NeuronCompilation** compilation) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_createForBatch);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, compilation);
+}
+
+inline int NeuronModel_restoreFromCompiledNetworkV2(
+    NeuronModel** model,
+    NeuronCompilation** compilation,
+    const void* buffer,
+    const size_t size,
+    const CompilationType& type) {
+  LOAD_ADAPTER_FUNCTION(NeuronModel_restoreFromCompiledNetworkV2);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, compilation, buffer, size, type);
+}
+
+inline int NeuronExecution_setRunnerPoolSize(
+    NeuronExecution* execution,
+    uint8_t numRunners) {
+  LOAD_ADAPTER_FUNCTION(NeuronExecution_setRunnerPoolSize);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(execution, numRunners);
+}
+
+inline int NeuronExecution_setBatchDone(NeuronExecution* execution) {
+  LOAD_ADAPTER_FUNCTION(NeuronExecution_setBatchDone);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(execution);
+}
+
+inline int NeuronExecution_setIODone(NeuronExecution* execution, int idx) {
+  LOAD_ADAPTER_FUNCTION(NeuronExecution_setIODone);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(execution, idx);
+}
+
+inline int NeuronCompilation_createWithOptions(
+    NeuronModel* model,
+    NeuronCompilation** compilation,
+    const char* options) {
+  LOAD_ADAPTER_FUNCTION(NeuronCompilation_createWithOptions);
+  EXECUTE_ADAPTER_FUNCTION_RETURN_INT(model, compilation, options);
+}
diff --git a/backends/mediatek/scripts/README.md b/backends/mediatek/scripts/README.md
new file mode 100644
index 0000000000..76d0c5ad5f
--- /dev/null
+++ b/backends/mediatek/scripts/README.md
@@ -0,0 +1,50 @@
+# Build Instructions
+
+This document provides a step-by-step guide to set up the build environment for the MediaTek ExercuTorch libraries.
+
+## Prerequisites
+
+Before you begin, ensure you have the following prerequisites installed and configured:
+
+### 1. Buck2 Build Tool
+
+- **Download Buck2**: Obtain Buck2 from the official [releases page](https://github.com/facebook/buck2/releases/tag/2024-02-01).
+- **Add to PATH**: Extract the downloaded file and add the directory to your system's `$PATH` environment variable.
+```bash
+export PATH=<path_to_buck>:$PATH
+```
+
+### 2. Android NDK
+
+- **Download Android NDK**: Acquire the Android NDK from the [Android developer site](https://developer.android.com/ndk/downloads).
+- **Set NDK Path**: Ensure that the `$ANDROID_NDK` environment variable is set to the path where the NDK is located.
+```bash
+export ANDROID_NDK=<path_to_android_ndk>
+```
+
+### 3. MediaTek ExercuTorch Libraries
+
+Download the following libraries from MediaTek's NeuroPilot portal (link to be added):
+
+- `libneuronusdk_adapter.mtk.so`: This universal SDK contains the implementation required for executing target-dependent code on the MediaTek chip.
+- `libneuron_buffer_allocator.so`: This utility library is designed for allocating DMA buffers necessary for model inference.
+```bash
+export NEURON_BUFFER_ALLOCATOR_LIB=<path_to_buffer_allocator>
+```
+
+## Setup
+
+Follow the steps below to set up your build environment:
+
+1. **ExercuTorch Official Tutorial**: Refer to the [Setting up ExercuTorch](https://pytorch.org/executorch/stable/getting-started-setup) guide for detailed instructions on setting up the ExercuTorch environment.
+
+2. **Build Script**: Once the prerequisites are in place, run the `mtk_build.sh` script to start the build process.
+
+   ```bash
+   ./mtk_build.sh
+   ```
+3. **Push MediaTek universal SDK to the device**: push libneuronusdk_adapter.mtk.so to the phone and export it to the `$LD_LIBRARY_PATH` environment variable before executing ExercuTorch with MediaTek backend.
+
+   ```bash
+   export LD_LIBRARY_PATH=<path_to_usdk>:$LD_LIBRARY_PATH
+   ```
diff --git a/backends/mediatek/scripts/mtk_build.sh b/backends/mediatek/scripts/mtk_build.sh
new file mode 100755
index 0000000000..5e6724a9b5
--- /dev/null
+++ b/backends/mediatek/scripts/mtk_build.sh
@@ -0,0 +1,49 @@
+#!/bin/bash
+
+# Exit immediately if a command exits with a non-zero status.
+set -e
+
+# Define the directory where CMakeLists.txt is located
+SOURCE_DIR=$(realpath "$(dirname "$0")/../../..")
+
+# Check if buck2 exists
+BUCK_PATH=${BUCK2:-buck2}
+if [ -z "$BUCK2" ]; then
+    echo "Info: BUCK2 environment variable is not set." >&2
+fi
+
+# Check if the ANDROID_NDK environment variable is set
+if [ -z "$ANDROID_NDK" ]; then
+    echo "Error: ANDROID_NDK environment variable is not set." >&2
+    exit 1
+fi
+
+# Check if the NEURON_BUFFER_ALLOCATOR_LIB environment variable is set
+if [ -z "$NEURON_BUFFER_ALLOCATOR_LIB" ]; then
+    echo "Error: NEURON_BUFFER_ALLOCATOR_LIB environment variable is not set." >&2
+    exit 1
+fi
+
+# Create and enter the build directory
+cd "$SOURCE_DIR"
+rm -rf cmake-android-out && mkdir cmake-android-out && cd cmake-android-out
+
+# Configure the project with CMake
+# Note: Add any additional configuration options you need here
+cmake -DBUCK2="$BUCK_PATH" \
+      -DCMAKE_TOOLCHAIN_FILE="$ANDROID_NDK/build/cmake/android.toolchain.cmake" \
+      -DANDROID_ABI=arm64-v8a \
+      -DANDROID_PLATFORM=android-30 \
+      -DEXECUTORCH_BUILD_NEURON=ON \
+      -DNEURON_BUFFER_ALLOCATOR_LIB="$NEURON_BUFFER_ALLOCATOR_LIB" \
+      ..
+
+# Build the project
+cd ..
+cmake --build cmake-android-out -j4
+
+# Switch back to the original directory
+cd - > /dev/null
+
+# Print a success message
+echo "Build successfully completed."
diff --git a/backends/qualcomm/CMakeLists.txt b/backends/qualcomm/CMakeLists.txt
index cefc330d3d..a8265df8c7 100644
--- a/backends/qualcomm/CMakeLists.txt
+++ b/backends/qualcomm/CMakeLists.txt
@@ -58,6 +58,7 @@ add_compile_options("-Wall" "-Werror" "-Wno-sign-compare")
 # which can be ignored by GNU. So we make it a warning, not an error in GNU.
 if(CMAKE_CXX_COMPILER_ID STREQUAL "GNU")
   add_compile_options("-Wno-error=attributes")
+  add_link_options("-flto=auto")
 endif()
 
 if(CMAKE_BUILD_TYPE STREQUAL "Release")
@@ -65,10 +66,7 @@ if(CMAKE_BUILD_TYPE STREQUAL "Release")
   add_link_options("-s")
 
   # --gc-sections is added by torch.
-  add_compile_options(
-    "-O3" "-ffunction-sections" "-fdata-sections" "-frtti"
-    "-Wno-unused-command-line-argument"
-  )
+  add_compile_options("-O3" "-ffunction-sections" "-fdata-sections" "-frtti")
 endif()
 
 include_directories(
@@ -183,7 +181,10 @@ target_link_libraries(
 )
 target_link_libraries(
   qnn_executorch_backend PRIVATE qnn_executorch_header qnn_schema qnn_manager
-                                 executorch_no_prim_ops qcir_utils
+                                 executorch_no_prim_ops qcir_utils extension_tensor
+)
+set_target_properties(
+  qnn_executorch_backend PROPERTIES LINK_FLAGS "-Wl,-rpath='$ORIGIN'"
 )
 target_link_libraries(utils PRIVATE qnn_executorch_logging)
 target_link_libraries(
@@ -245,6 +246,7 @@ if(${CMAKE_SYSTEM_PROCESSOR} MATCHES "x86_64")
             qnn_executorch_header
             executorch
             qcir_utils
+            extension_tensor
   )
   target_link_libraries(
     PyQnnWrapperAdaptor PRIVATE pybind11::module pybind11::lto wrappers
@@ -259,6 +261,19 @@ if(${CMAKE_SYSTEM_PROCESSOR} MATCHES "x86_64")
     pybind11_strip(PyQnnWrapperAdaptor)
   endif()
 
+  if(CMAKE_BUILD_TYPE STREQUAL "Release")
+    # need to allow exceptions in pybind
+    set(_pybind_compile_options -Wno-deprecated-declarations -fPIC -frtti
+                                -fexceptions
+    )
+    target_compile_options(
+      PyQnnManagerAdaptor PUBLIC ${_pybind_compile_options}
+    )
+    target_compile_options(
+      PyQnnWrapperAdaptor PUBLIC ${_pybind_compile_options}
+    )
+  endif()
+
   add_subdirectory(
     ${QNN_EXECUTORCH_ROOT_DIR}/aot/python
     ${CMAKE_CURRENT_BINARY_DIR}/qnn_executorch/python
diff --git a/backends/qualcomm/README.md b/backends/qualcomm/README.md
index 618a1f3e32..3c0fdd8f98 100644
--- a/backends/qualcomm/README.md
+++ b/backends/qualcomm/README.md
@@ -1,12 +1,14 @@
 # Qualcomm AI Engine Direct Backend
 
 Disclaimer: At present, we do not offer any backward compatibility guarantees
-for any APIs. We are currently in a pre-alpha development phase, and as such,
+for any APIs. We are currently in a development phase, and as such,
 we reserve the right to modify interfaces and implementations.
 
 This backend is implemented on the top of
 [Qualcomm AI Engine Direct SDK](https://developer.qualcomm.com/software/qualcomm-ai-engine-direct-sdk).
-Please follow [tutorial](https://pytorch.org/executorch/stable/build-run-qualcomm-ai-engine-direct-backend.html) to setup environment, build, and run executorch models by this backend (Qualcomm AI Engine Direct is also referred to as QNN in the source and documentation).
+Please follow [tutorial](../../docs/source/build-run-qualcomm-ai-engine-direct-backend.md) to setup environment, build, and run executorch models by this backend (Qualcomm AI Engine Direct is also referred to as QNN in the source and documentation).
+
+A website version of the tutorial is [here](https://pytorch.org/executorch/stable/build-run-qualcomm-ai-engine-direct-backend.html).
 
 ## Delegate Options
 
@@ -29,7 +31,7 @@ Add SoC model into QcomChipset enum in [schema](./serialization/schema.fbs) and
 Insert new SoC information into _soc_info_table in [qnn_compile_spec_schema](./serialization/qnn_compile_spec_schema.py).
 
 #### Step 3: Recompile the .pte file
-Follow [setup](setup.md) to setup environment and build runtime with new schema header.
+Follow [setup](../../docs/source/build-run-qualcomm-ai-engine-direct-backend.md) to setup environment and build runtime with new schema header.
 
 ### Supported Inference Type
 - Quantized
@@ -46,6 +48,7 @@ backends/qualcomm
 ├── partition # QNN Partitioner (AoT Part).
 ├── passes # Various passes helping lower models to QNN backend (AoT Part).
 ├── python # Places to put pybind artifacts for accessing QNN APIs, structures, etc (AoT Part).
+├── quantizer # QNN Quantizer
 ├── runtime # Here is QNN runtime responsbile for compiling a model on x64.
 |   |       # Meanwhile, this is also the runtime responsbile for executing compiled
 |   |       # models on a device.
@@ -58,8 +61,11 @@ backends/qualcomm
 ├── tests # Unit tests and model tests go here.
 └── utils # Miscellaneous utilities.
 
-examples
-└── qualcomm # Examples to run QNN backends.
+examples/qualcomm
+├── executor_runner # A general runner that is capable of running most of the basic models.
+├── oss_scripts # Scripts for OSS(Open Source Software) models and customized runner for some specific models.
+├── qaihub_scripts # Scripts for Qaihub models and corresponding customized runner for these models.
+└── scripts # Scripts for models provided by executorch.
 ```
 
 ## Examples
diff --git a/backends/qualcomm/TARGETS b/backends/qualcomm/TARGETS
index 5c4f482b5e..0a42614a38 100644
--- a/backends/qualcomm/TARGETS
+++ b/backends/qualcomm/TARGETS
@@ -1 +1,5 @@
-# This file needs to exist to avoid build system breakage, see https://fburl.com/workplace/jtdlgdmd
+load(":targets.bzl", "define_common_targets")
+
+oncall("executorch")
+
+define_common_targets()
diff --git a/backends/qualcomm/aot/ir/TARGETS b/backends/qualcomm/aot/ir/TARGETS
new file mode 100644
index 0000000000..0a42614a38
--- /dev/null
+++ b/backends/qualcomm/aot/ir/TARGETS
@@ -0,0 +1,5 @@
+load(":targets.bzl", "define_common_targets")
+
+oncall("executorch")
+
+define_common_targets()
diff --git a/backends/qualcomm/aot/ir/qcir_utils.cpp b/backends/qualcomm/aot/ir/qcir_utils.cpp
index e025b8667a..75446bb733 100755
--- a/backends/qualcomm/aot/ir/qcir_utils.cpp
+++ b/backends/qualcomm/aot/ir/qcir_utils.cpp
@@ -100,7 +100,7 @@ Qnn_DataType_t ToDataType(qcir::DataType type) {
 }
 
 flatbuffers::Offset<qcir::QuantizeParam> ToQuantizeParam(
-    const Qnn_QuantizeParams_t& param,
+    const Qnn_Tensor_t& tensor,
     flatbuffers::FlatBufferBuilder* builder) {
   static const std::unordered_map<Qnn_Definition_t, qcir::QuantizeDef> def_map{
       {QNN_DEFINITION_IMPL_GENERATED, qcir::QuantizeDef::IMPL_GENERATED},
@@ -124,6 +124,7 @@ flatbuffers::Offset<qcir::QuantizeParam> ToQuantizeParam(
 
   int32_t axis = 0;
   uint32_t bitwidth = 0;
+  auto param = QNN_VER_PTR(tensor)->quantizeParams;
   auto quant_type = type_map.at(param.quantizationEncoding);
   std::vector<qcir::ScaleOffset> data;
   std::vector<float> scales;
@@ -160,7 +161,9 @@ flatbuffers::Offset<qcir::QuantizeParam> ToQuantizeParam(
       }
     } break;
     default:
-      QNN_EXECUTORCH_LOG_ERROR("QNN_QUANTIZATION_ENCODING_UNDEFINED detected");
+      QNN_EXECUTORCH_LOG_WARN(
+          "QNN_QUANTIZATION_ENCODING_UNDEFINED detected: %s",
+          QNN_VER_PTR(tensor)->name);
       break;
   }
   return CreateQuantizeParamDirect(
@@ -174,7 +177,7 @@ flatbuffers::Offset<qcir::QuantizeParam> ToQuantizeParam(
       &data);
 }
 
-Qnn_QuantizeParams_t ToQuantizeParam(const qparam_type& param) {
+Qnn_QuantizeParams_t ToQuantizeParam(const tensor_type& tensor) {
   static const std::unordered_map<qcir::QuantizeDef, Qnn_Definition_t> def_map{
       {qcir::QuantizeDef::IMPL_GENERATED, QNN_DEFINITION_IMPL_GENERATED},
       {qcir::QuantizeDef::DEFINED, QNN_DEFINITION_DEFINED},
@@ -196,6 +199,7 @@ Qnn_QuantizeParams_t ToQuantizeParam(const qparam_type& param) {
           };
 
   Qnn_QuantizeParams_t p = QNN_QUANTIZE_PARAMS_INIT;
+  auto param = tensor->qparam();
   p.encodingDefinition = def_map.at(param->def());
   p.quantizationEncoding = type_map.at(param->type());
   switch (p.quantizationEncoding) {
@@ -225,7 +229,9 @@ Qnn_QuantizeParams_t ToQuantizeParam(const qparam_type& param) {
           const_cast<int32_t*>(param->offsets()->data());
     } break;
     default:
-      QNN_EXECUTORCH_LOG_ERROR("qcir::QuantizeType::UNDEFINED detected");
+      QNN_EXECUTORCH_LOG_WARN(
+          "qcir::QuantizeType::UNDEFINED detected: %s",
+          tensor->name()->c_str());
       break;
   }
   return p;
@@ -248,7 +254,7 @@ flatbuffers::Offset<qcir::Tensor> ToTensor(
       &shape,
       ToTensorType(QNN_VER_PTR(tensor)->type),
       ToDataType(QNN_VER_PTR(tensor)->dataType),
-      ToQuantizeParam(QNN_VER_PTR(tensor)->quantizeParams, builder),
+      ToQuantizeParam(tensor, builder),
       &buffer);
 }
 
@@ -261,7 +267,7 @@ Qnn_Tensor_t ToTensor(const tensor_type& tensor) {
   QNN_VER_PTR(t)->name = tensor->name()->c_str();
   QNN_VER_PTR(t)->type = ToTensorType(tensor->type());
   QNN_VER_PTR(t)->dataType = ToDataType(tensor->dtype());
-  QNN_VER_PTR(t)->quantizeParams = ToQuantizeParam(tensor->qparam());
+  QNN_VER_PTR(t)->quantizeParams = ToQuantizeParam(tensor);
   QNN_VER_PTR(t)->rank = tensor->shape()->size();
   QNN_VER_PTR(t)->dimensions = const_cast<uint32_t*>(tensor->shape()->data());
   QNN_VER_PTR(t)->clientBuf.dataSize = tensor->data()->size();
diff --git a/backends/qualcomm/aot/ir/qcir_utils.h b/backends/qualcomm/aot/ir/qcir_utils.h
index 30a5481f9f..2fb2b68d3b 100755
--- a/backends/qualcomm/aot/ir/qcir_utils.h
+++ b/backends/qualcomm/aot/ir/qcir_utils.h
@@ -8,17 +8,17 @@
 
 #pragma once
 
+#include <executorch/backends/qualcomm/aot/ir/qcir_generated.h>
 #include "QnnTypes.h"
-#include "qcir_generated.h"
 
 namespace torch {
 namespace executor {
 namespace qnn {
 
-typedef flatbuffers::Vector<::flatbuffers::Offset<qcir::Tensor>>::value_type
+typedef flatbuffers::Vector<::flatbuffers::Offset<qcir::Tensor>>::return_type
     tensor_type;
 typedef flatbuffers::Vector<
-    ::flatbuffers::Offset<qcir::QuantizeParam>>::value_type qparam_type;
+    ::flatbuffers::Offset<qcir::QuantizeParam>>::return_type qparam_type;
 
 qcir::TensorType ToTensorType(Qnn_TensorType_t type);
 Qnn_TensorType_t ToTensorType(qcir::TensorType type);
@@ -26,9 +26,9 @@ qcir::DataType ToDataType(Qnn_DataType_t type);
 Qnn_DataType_t ToDataType(qcir::DataType type);
 
 flatbuffers::Offset<qcir::QuantizeParam> ToQuantizeParam(
-    const Qnn_QuantizeParams_t& param,
+    const Qnn_Tensor_t& tensor,
     flatbuffers::FlatBufferBuilder* builder);
-Qnn_QuantizeParams_t ToQuantizeParam(const qparam_type& type);
+Qnn_QuantizeParams_t ToQuantizeParam(const tensor_type& tensor);
 
 flatbuffers::Offset<qcir::Tensor> ToTensor(
     const Qnn_Tensor_t& tensor,
diff --git a/backends/qualcomm/aot/ir/targets.bzl b/backends/qualcomm/aot/ir/targets.bzl
new file mode 100644
index 0000000000..a7cc5c03e2
--- /dev/null
+++ b/backends/qualcomm/aot/ir/targets.bzl
@@ -0,0 +1,66 @@
+load(
+    "@fbsource//tools/build_defs:default_platform_defs.bzl",
+    "ANDROID",
+)
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+load("@fbsource//xplat/executorch/backends/qualcomm:targets.bzl", "generate_schema_header")
+
+QCIR_NAME = "qcir"
+INPUT_QCIR = QCIR_NAME + ".fbs"
+OUTPUT_QCIR_HEADER = QCIR_NAME + "_generated.h"
+QCIR_GEN_RULE_NAME = "qcir_generated"
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+
+    generate_schema_header(
+        QCIR_GEN_RULE_NAME,
+        [INPUT_QCIR],
+        [OUTPUT_QCIR_HEADER],
+        OUTPUT_QCIR_HEADER,
+    )
+
+    # Header-only library target with the generate executorch program schema header.
+    runtime.cxx_library(
+        name = "qcir_schema",
+        srcs = [],
+        exported_headers = {
+            OUTPUT_QCIR_HEADER: ":{}[{}]".format(QCIR_GEN_RULE_NAME, OUTPUT_QCIR_HEADER),
+        },
+        visibility = [
+            # Lock this down as tightly as possible to ensure that flatbuffers
+            # are an implementation detail. Ideally this list would only include
+            # //executorch/runtime/executor/...
+            "//executorch/backends/qualcomm/...",
+            "//executorch/backends/qualcomm/aot/ir/...",
+        ],
+        exported_external_deps = ["flatbuffers-api"],
+        define_static_target = True,
+        platforms = [ANDROID],
+    )
+
+
+    runtime.cxx_library(
+        name = "qcir_utils",
+        srcs = [
+            "qcir_utils.cpp",
+        ],
+        exported_headers = [
+            "qcir_utils.h",
+        ],
+        define_static_target = True,
+        platforms = [ANDROID],
+        visibility = ["@EXECUTORCH_CLIENTS"],
+        deps = [
+            "fbsource//third-party/qualcomm/qnn:api",
+            "//executorch/runtime/backend:interface",
+            "//executorch/runtime/core:core",
+            "//executorch/backends/qualcomm/aot/wrappers:wrappers",
+        ],
+        exported_deps = [
+            ":qcir_schema",
+        ],
+    )
diff --git a/backends/qualcomm/aot/python/PyQnnWrapperAdaptor.h b/backends/qualcomm/aot/python/PyQnnWrapperAdaptor.h
index f13b5962b7..1f7f5ccb08 100644
--- a/backends/qualcomm/aot/python/PyQnnWrapperAdaptor.h
+++ b/backends/qualcomm/aot/python/PyQnnWrapperAdaptor.h
@@ -86,7 +86,7 @@ class PyQnnOpWrapper {
         break;
       default:
         QNN_EXECUTORCH_LOG_ERROR(
-            "%s has invalid data type: %d", name, data_type);
+            "%s has invalid data type: %d", name.c_str(), data_type);
         break;
     }
   }
@@ -171,7 +171,7 @@ class PyQnnTensorWrapper {
         return {enc_data, data.axis};
       }
       default:
-        QNN_EXECUTORCH_LOG_ERROR(
+        QNN_EXECUTORCH_LOG_WARN(
             "%s QNN_QUANTIZATION_ENCODING_UNDEFINED detected",
             GetName().c_str());
         break;
diff --git a/backends/qualcomm/aot/wrappers/TARGETS b/backends/qualcomm/aot/wrappers/TARGETS
new file mode 100644
index 0000000000..0a42614a38
--- /dev/null
+++ b/backends/qualcomm/aot/wrappers/TARGETS
@@ -0,0 +1,5 @@
+load(":targets.bzl", "define_common_targets")
+
+oncall("executorch")
+
+define_common_targets()
diff --git a/backends/qualcomm/aot/wrappers/targets.bzl b/backends/qualcomm/aot/wrappers/targets.bzl
new file mode 100644
index 0000000000..08d6920a02
--- /dev/null
+++ b/backends/qualcomm/aot/wrappers/targets.bzl
@@ -0,0 +1,32 @@
+load(
+    "@fbsource//tools/build_defs:default_platform_defs.bzl",
+    "ANDROID",
+)
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+    runtime.cxx_library(
+        name = "wrappers",
+        srcs = glob([
+            "*.cpp",
+        ]),
+        exported_headers = glob([
+            "*.h",
+        ]),
+        define_static_target = True,
+        platforms = [ANDROID],
+        visibility = ["@EXECUTORCH_CLIENTS"],
+        deps = [
+            "fbsource//third-party/qualcomm/qnn:api",
+            "//executorch/runtime/backend:interface",
+            "//executorch/runtime/core:core",
+        ],
+        exported_deps = [
+            "//executorch/backends/qualcomm/runtime:logging",
+        ],
+    )
diff --git a/backends/qualcomm/builders/__init__.py b/backends/qualcomm/builders/__init__.py
index c4fbdeae14..79c02e2207 100644
--- a/backends/qualcomm/builders/__init__.py
+++ b/backends/qualcomm/builders/__init__.py
@@ -23,6 +23,8 @@
     op_hardsigmoid,
     op_hardswish,
     op_hardtanh,
+    op_index,
+    op_index_put,
     op_layer_norm,
     op_linear,
     op_log_softmax,
@@ -36,6 +38,7 @@
     op_quantize,
     op_relu,
     op_reshape,
+    op_rms_norm,
     op_rsqrt,
     op_select_copy,
     op_sigmoid,
@@ -75,6 +78,8 @@
     op_hardswish,
     op_hardtanh,
     op_hardsigmoid,
+    op_index,
+    op_index_put,
     op_layer_norm,
     op_linear,
     op_log_softmax,
@@ -88,6 +93,7 @@
     op_quantize,
     op_relu,
     op_reshape,
+    op_rms_norm,
     op_rsqrt,
     op_select_copy,
     op_sigmoid,
diff --git a/backends/qualcomm/builders/node_visitor.py b/backends/qualcomm/builders/node_visitor.py
index 641e2445f2..514bc6efd7 100644
--- a/backends/qualcomm/builders/node_visitor.py
+++ b/backends/qualcomm/builders/node_visitor.py
@@ -12,13 +12,20 @@
 import numpy as np
 import torch
 from executorch.backends.qualcomm.utils.constants import (
+    QCOM_AXIS,
     QCOM_AXIS_ORDER,
     QCOM_BITWIDTH,
+    QCOM_DTYPE,
     QCOM_ENCODING,
+    QCOM_OFFSET,
     QCOM_QUANT_ATTRS,
+    QCOM_QUANT_MAX,
+    QCOM_QUANT_MIN,
     QCOM_REQUANTIZE,
+    QCOM_SCALE,
     QCOM_SCALE_OFFSET,
     QCOM_SCALES,
+    QCOM_ZERO_POINT,
     QCOM_ZERO_POINTS,
 )
 
@@ -125,16 +132,16 @@ def make_qnn_per_channel_config(self, node: torch.fx.Node, quant_attrs: Dict):
             "convolution" in user_0.target.__name__
             and list(node.users)[0].args[1] == node
         ):
-            quant_config["axis"] = 3
+            quant_config[QCOM_AXIS] = 3
 
         else:
-            quant_config["axis"] = quant_attrs["axis"]
+            quant_config[QCOM_AXIS] = quant_attrs[QCOM_AXIS]
 
         quant_config[QCOM_SCALE_OFFSET] = scale_offset
         # special case for 4 bits
         if (
-            quant_config["dtype"] == torch.int8
-            and quant_config["quant_max"] - quant_config["quant_min"] <= 15
+            quant_config[QCOM_DTYPE] == torch.int8
+            and quant_config[QCOM_QUANT_MAX] - quant_config[QCOM_QUANT_MIN] <= 15
         ):
             quant_config[QCOM_BITWIDTH] = 4
             return (
@@ -149,11 +156,11 @@ def make_qnn_per_channel_config(self, node: torch.fx.Node, quant_attrs: Dict):
     def make_qnn_per_tensor_config(self, quant_attrs: Dict):
         quant_config = copy.deepcopy(quant_attrs)
         # check Qnn_ScaleOffset_t in QNN/include/QnnTypes.h
-        quant_config["offset"] = -quant_attrs["zero_point"]
+        quant_config[QCOM_OFFSET] = -quant_attrs[QCOM_ZERO_POINT]
         # special case for 4 bits
         if (
-            quant_config["dtype"] == torch.int8
-            and quant_config["quant_max"] - quant_config["quant_min"] <= 15
+            quant_config[QCOM_DTYPE] == torch.int8
+            and quant_config[QCOM_QUANT_MAX] - quant_config[QCOM_QUANT_MIN] <= 15
         ):
             quant_config[QCOM_BITWIDTH] = 4
             return (
@@ -187,13 +194,13 @@ def get_quant_tensor_value(
         self, tensor: torch.Tensor, quant_attrs: Dict, quant_configs: Dict
     ) -> torch.Tensor:
         if quant_attrs[QCOM_ENCODING] in PER_TENSOR_ENCODING:
-            scale = quant_attrs["scale"]
-            zero_point = quant_attrs["zero_point"]
+            scale = quant_attrs[QCOM_SCALE]
+            zero_point = quant_attrs[QCOM_ZERO_POINT]
         else:  # per channel case
             scale = quant_attrs[QCOM_SCALES]
             zero_point = quant_attrs[QCOM_ZERO_POINTS]
 
-        dtype = quant_configs["dtype"]
+        dtype = quant_configs[QCOM_DTYPE]
 
         tensor = tensor.div(scale).add(zero_point).round().to(dtype)
         # Make the backends access data correctly
@@ -233,8 +240,8 @@ def get_data_type(
         quant_config: Dict,
     ) -> PyQnnWrapper.Qnn_TensorType_t:
         if quant_config:
-            quant_config["dtype"] = deduce_dtype(tensor, quant_config)
-            return QNN_QUANT_TYPE_MAP[quant_config["dtype"]]
+            quant_config[QCOM_DTYPE] = deduce_dtype(tensor, quant_config)
+            return QNN_QUANT_TYPE_MAP[quant_config[QCOM_DTYPE]]
 
         return QNN_TENSOR_TYPE_MAP[tensor.dtype]
 
diff --git a/backends/qualcomm/builders/op_batch_norm.py b/backends/qualcomm/builders/op_batch_norm.py
index 13b24c0d72..9ca299e743 100644
--- a/backends/qualcomm/builders/op_batch_norm.py
+++ b/backends/qualcomm/builders/op_batch_norm.py
@@ -8,6 +8,11 @@
 import executorch.backends.qualcomm.python.PyQnnWrapperAdaptor as PyQnnWrapper
 
 import torch
+from executorch.backends.qualcomm.utils.constants import (
+    QCOM_QUANT_ATTRS,
+    QCOM_QUANT_MAX,
+    QCOM_SCALE,
+)
 
 from .node_visitor import NodeVisitor, register_node_visitor
 from .qnn_constants import OpBatchnorm, QNN_OP_PACKAGE_NAME_QTI_AISW
@@ -21,6 +26,15 @@ class BatchNorm(NodeVisitor):
     def __init__(self, *args) -> None:
         super().__init__(*args)
 
+    def update_encoding(self, node: torch.fx.Node, tensor: torch.Tensor, eps):
+        if isinstance(tensor, torch._subclasses.FakeTensor):
+            return
+
+        if quant_attrs := node.meta.get(QCOM_QUANT_ATTRS):
+            # scale value equals to zero will cause failure in HTP
+            diff = max(abs(tensor.max()), abs(tensor.min())) + eps
+            quant_attrs[QCOM_SCALE] = diff / quant_attrs[QCOM_QUANT_MAX]
+
     def define_node(
         self,
         node: torch.fx.Node,
@@ -29,7 +43,7 @@ def define_node(
         input_node = node.args[0]
         input_tensor = self.get_tensor(input_node, node)
 
-        mean_node, var_node, eps = node.args[3], node.args[4], 1e-5
+        mean_node, var_node, eps = node.args[3], node.args[4], 1e-9
         mean_tensor = get_parameter(mean_node, self.edge_program)
         var_tensor = get_parameter(var_node, self.edge_program)
 
@@ -48,6 +62,7 @@ def define_node(
 
         amount = (filter_tensor * mean_tensor) / torch.sqrt(var_tensor + eps)
         bias_tensor = bias_tensor - amount
+        self.update_encoding(bias_node, bias_tensor, eps)
         bias_tensor_wrapper = self.define_tensor(
             bias_node,
             bias_tensor,
@@ -57,6 +72,7 @@ def define_node(
         )
 
         filter_tensor = filter_tensor / torch.sqrt(var_tensor + eps)
+        self.update_encoding(filter_node, filter_tensor, eps)
         filter_tensor_wrapper = self.define_tensor(
             filter_node,
             filter_tensor,
diff --git a/backends/qualcomm/builders/op_index.py b/backends/qualcomm/builders/op_index.py
new file mode 100644
index 0000000000..6f8dc558fe
--- /dev/null
+++ b/backends/qualcomm/builders/op_index.py
@@ -0,0 +1,83 @@
+# Copyright (c) Qualcomm Innovation Center, Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+from typing import Dict
+
+import executorch.backends.qualcomm.python.PyQnnWrapperAdaptor as PyQnnWrapper
+
+import numpy as np
+import torch
+
+from .node_visitor import NodeVisitor, register_node_visitor
+from .qnn_constants import OpGather, QNN_OP_PACKAGE_NAME_QTI_AISW
+
+
+@register_node_visitor
+class Index(NodeVisitor):
+    # schema = aten::index.Tensor(Tensor self, Tensor?[] indices) -> Tensor
+    target = ["aten.index.Tensor"]
+
+    def __init__(self, *args) -> None:
+        super().__init__(*args)
+
+    def define_node(
+        self,
+        node: torch.fx.Node,
+        nodes_to_wrappers: Dict[torch.fx.Node, PyQnnWrapper.TensorWrapper],
+    ) -> PyQnnWrapper.PyQnnOpWrapper:
+        input_node = node.args[0]
+        input_tensor = self.get_tensor(input_node, node)
+        input_tensor_wrapper = self.define_tensor(
+            input_node,
+            input_tensor,
+            PyQnnWrapper.Qnn_TensorType_t.QNN_TENSOR_TYPE_NATIVE,
+            nodes_to_wrappers,
+            is_input_tensor=True,
+        )
+
+        if len(node.args[1]) > 1:
+            # TODO consider to implement it in a recursive way.
+            raise NotImplementedError("Not support tuple of tensor.")
+
+        indices_node = node.args[1][0]
+        indices_tensor = self.get_tensor(indices_node, node).to(torch.int32)
+        assert indices_tensor.size(0) != 0, "Not support empty indices list"
+
+        indices_tensor_wrapper = self.define_tensor(
+            indices_node,
+            indices_tensor,
+            PyQnnWrapper.Qnn_TensorType_t.QNN_TENSOR_TYPE_NATIVE,
+            nodes_to_wrappers,
+            is_input_tensor=True,
+        )
+
+        gather_input_tensors = [input_tensor_wrapper, indices_tensor_wrapper]
+
+        output_tensor = self.get_tensor(node, node)
+        output_tensor_wrapper = self.define_tensor(
+            node,
+            output_tensor,
+            PyQnnWrapper.Qnn_TensorType_t.QNN_TENSOR_TYPE_NATIVE,
+            nodes_to_wrappers,
+            is_input_tensor=False,
+        )
+        gather_output_tensors = [output_tensor_wrapper]
+
+        gather_op = PyQnnWrapper.PyQnnOpWrapper(
+            node.name,
+            QNN_OP_PACKAGE_NAME_QTI_AISW,
+            OpGather.op_name,
+        )
+        gather_op.AddInputTensors(gather_input_tensors)
+        gather_op.AddOutputTensors(gather_output_tensors)
+
+        # If support tuple of tensor, need to refine it based on len
+        gather_op.AddScalarParam(
+            OpGather.param_axis,
+            PyQnnWrapper.Qnn_DataType_t.QNN_DATATYPE_INT_32,
+            {"data": np.int32(0)},
+        )
+
+        return gather_op
diff --git a/backends/qualcomm/builders/op_index_put.py b/backends/qualcomm/builders/op_index_put.py
new file mode 100644
index 0000000000..af5311dfb2
--- /dev/null
+++ b/backends/qualcomm/builders/op_index_put.py
@@ -0,0 +1,83 @@
+from typing import Dict
+
+import executorch.backends.qualcomm.python.PyQnnWrapperAdaptor as PyQnnWrapper
+
+import torch
+
+from .node_visitor import NodeVisitor, register_node_visitor
+from .qnn_constants import OpScatterNd, QNN_OP_PACKAGE_NAME_QTI_AISW
+
+
+@register_node_visitor
+class IndexPutVisitor(NodeVisitor):
+    target = ["aten.index_put.default"]
+
+    def __init__(self, *args) -> None:
+        super().__init__(*args)
+
+    def define_node(
+        self,
+        node: torch.fx.Node,
+        nodes_to_wrappers: Dict[torch.fx.Node, PyQnnWrapper.TensorWrapper],
+    ) -> PyQnnWrapper.PyQnnOpWrapper:
+        input_node = node.args[0]
+        input_tensor = self.get_tensor(input_node, node)
+        input_tensor_wrapper = self.define_tensor(
+            input_node,
+            input_tensor,
+            PyQnnWrapper.Qnn_TensorType_t.QNN_TENSOR_TYPE_NATIVE,
+            nodes_to_wrappers,
+            is_input_tensor=True,
+        )
+        indicies_node = node.args[1]
+        indices_list = [
+            self.get_tensor(idx, idx) for idx in indicies_node if idx is not None
+        ]
+
+        # Unpack the tuple
+        indices_unpacked = [torch.flatten(idx) for idx in indices_list]
+
+        # Convert to 2-D tensor
+        indices_qnn = torch.cat(indices_unpacked).unsqueeze(0)
+        indice_node = [n for n in indicies_node if isinstance(n, torch.fx.Node)]
+        # TODO consider to write a pass to combine to one input tensor for indices
+        assert len(indice_node) == 1, "Not support mutilple indices tensor"
+
+        indices_tensor_wrapper = self.define_tensor(
+            indice_node[0],
+            indices_qnn,
+            PyQnnWrapper.Qnn_TensorType_t.QNN_TENSOR_TYPE_NATIVE,
+            nodes_to_wrappers,
+            is_input_tensor=True,
+        )
+        value_node = node.args[2]
+
+        value_tensor = self.get_tensor(value_node, node)
+
+        value_tensor_wrapper = self.define_tensor(
+            value_node,
+            value_tensor,
+            PyQnnWrapper.Qnn_TensorType_t.QNN_TENSOR_TYPE_NATIVE,
+            nodes_to_wrappers,
+            is_input_tensor=True,
+        )
+        output_tensor = self.get_tensor(node, node)
+        output_tensor_wrapper = self.define_tensor(
+            node,
+            output_tensor,
+            PyQnnWrapper.Qnn_TensorType_t.QNN_TENSOR_TYPE_NATIVE,
+            nodes_to_wrappers,
+            is_input_tensor=False,
+        )
+
+        index_put_op = PyQnnWrapper.PyQnnOpWrapper(
+            node.name,
+            QNN_OP_PACKAGE_NAME_QTI_AISW,
+            OpScatterNd.op_name,
+        )
+        index_put_op.AddInputTensors(
+            [input_tensor_wrapper, indices_tensor_wrapper, value_tensor_wrapper]
+        )
+        index_put_op.AddOutputTensors([output_tensor_wrapper])
+
+        return index_put_op
diff --git a/backends/qualcomm/builders/op_prelu.py b/backends/qualcomm/builders/op_prelu.py
index fc0c6b9232..5da017b8b7 100644
--- a/backends/qualcomm/builders/op_prelu.py
+++ b/backends/qualcomm/builders/op_prelu.py
@@ -11,6 +11,10 @@
 from executorch.backends.qualcomm.utils.constants import (
     QCOM_AXIS_ORDER,
     QCOM_QUANT_ATTRS,
+    QCOM_QUANT_MAX,
+    QCOM_QUANT_MIN,
+    QCOM_SCALE,
+    QCOM_ZERO_POINT,
 )
 from executorch.exir.dialects._ops import ops as exir_ops
 
@@ -77,10 +81,10 @@ def define_node(
         )
         if pow_quant_attrs := node.meta.get(QCOM_QUANT_ATTRS):
             quant_attrs = pow_quant_attrs.copy()
-            quant_range = quant_attrs["quant_max"] - quant_attrs["quant_min"]
+            quant_range = quant_attrs[QCOM_QUANT_MAX] - quant_attrs[QCOM_QUANT_MIN]
             # coeff is guaranteed to be positive
-            quant_attrs["zero_point"] = 0
-            quant_attrs["scale"] = coeff / quant_range
+            quant_attrs[QCOM_ZERO_POINT] = 0
+            quant_attrs[QCOM_SCALE] = coeff / quant_range
             scalar_node.meta[QCOM_QUANT_ATTRS] = quant_attrs
 
         scalar_tensor_wrapper = self.define_tensor(
diff --git a/backends/qualcomm/builders/op_rms_norm.py b/backends/qualcomm/builders/op_rms_norm.py
new file mode 100644
index 0000000000..e99b1f47ba
--- /dev/null
+++ b/backends/qualcomm/builders/op_rms_norm.py
@@ -0,0 +1,127 @@
+# Copyright (c) Qualcomm Innovation Center, Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+from typing import Dict
+
+import executorch.backends.qualcomm.python.PyQnnWrapperAdaptor as PyQnnWrapper
+import numpy as np
+
+import torch
+from executorch.backends.qualcomm.builders.utils import get_parameter
+from executorch.backends.qualcomm.utils.constants import QCOM_DATA, QCOM_QUANT_ATTRS
+from executorch.exir.dialects._ops import ops as exir_ops
+
+from .node_visitor import NodeVisitor, register_node_visitor
+from .qnn_constants import OpRmsNorm, QNN_OP_PACKAGE_NAME_QTI_AISW
+
+
+@register_node_visitor
+class RmsNormVisitor(NodeVisitor):
+    target = ["aten.rms_norm.default"]
+
+    def __init__(self, *args) -> None:
+        super().__init__(*args)
+
+    def define_node(
+        self,
+        node: torch.fx.Node,
+        nodes_to_wrappers: Dict[torch.fx.Node, PyQnnWrapper.TensorWrapper],
+    ) -> PyQnnWrapper.PyQnnOpWrapper:
+        # args of node : ['input', 'normalized_shape', 'weight', 'eps']
+        input_node = node.args[0]
+        input_tensor = self.get_tensor(input_node, node)
+        input_tensor_wrapper = self.define_tensor(
+            input_node,
+            input_tensor,
+            PyQnnWrapper.Qnn_TensorType_t.QNN_TENSOR_TYPE_NATIVE,
+            nodes_to_wrappers,
+            is_input_tensor=True,
+        )
+
+        # should be a immutable list
+        normalized_shapes = node.args[1]
+        if (
+            len(normalized_shapes) != 1
+            and normalized_shapes[0] != input_tensor.shape[-1]
+        ):
+            print("Only supports normalization with last input dimension")
+            return
+        axes = [node.args[0].meta["val"].dim() - 1]
+        axes_shape = [len(axes)]
+
+        weight_node = node.args[2]
+        weight_tensor = get_parameter(weight_node, self.edge_program)
+        weight_tensor_wrapper = self.define_tensor(
+            weight_node,
+            weight_tensor,
+            PyQnnWrapper.Qnn_TensorType_t.QNN_TENSOR_TYPE_STATIC,
+            nodes_to_wrappers,
+            is_input_tensor=False,
+        )
+
+        # Fake node, nn moudle seems to be inconsistant with document
+        bias_tensor = torch.zeros(weight_tensor.shape)
+        bias_node = torch.fx.Node(
+            node.graph,
+            node.name + "_runtime_bias",
+            "call_function",
+            exir_ops.edge.aten.tensor.default,
+            (),  # args
+            {},  # kwargs
+        )
+        if quant_attrs := node.meta.get(QCOM_QUANT_ATTRS):
+            bias_node.meta[QCOM_QUANT_ATTRS] = quant_attrs
+        bias_tensor_wrapper = self.define_tensor(
+            bias_node,
+            bias_tensor,
+            PyQnnWrapper.Qnn_TensorType_t.QNN_TENSOR_TYPE_STATIC,
+            nodes_to_wrappers,
+            is_input_tensor=False,
+        )
+
+        epsilon = node.args[3]
+        if isinstance(epsilon, torch.fx.Node):
+            epsilon = get_parameter(epsilon, self.edge_program)
+            epsilon = (
+                epsilon
+                if isinstance(epsilon, float)
+                else torch.finfo(epsilon.dtype).eps
+            )
+
+        output_tensor = self.get_tensor(node, node)
+        output_tensor_wrapper = self.define_tensor(
+            node,
+            output_tensor,
+            PyQnnWrapper.Qnn_TensorType_t.QNN_TENSOR_TYPE_NATIVE,
+            nodes_to_wrappers,
+            is_input_tensor=False,
+        )
+
+        rms_nrom_op = PyQnnWrapper.PyQnnOpWrapper(
+            node.name,
+            QNN_OP_PACKAGE_NAME_QTI_AISW,
+            OpRmsNorm.op_name,
+        )
+
+        rms_nrom_op.AddInputTensors(
+            [input_tensor_wrapper, weight_tensor_wrapper, bias_tensor_wrapper]
+        )
+        rms_nrom_op.AddOutputTensors([output_tensor_wrapper])
+        rms_nrom_op.AddScalarParam(
+            OpRmsNorm.param_epsilon,
+            PyQnnWrapper.Qnn_DataType_t.QNN_DATATYPE_FLOAT_32,
+            {QCOM_DATA: np.float32(epsilon)},
+        )
+        rms_nrom_op.AddTensorParam(
+            OpRmsNorm.param_axes,
+            PyQnnWrapper.Qnn_DataType_t.QNN_DATATYPE_UINT_32,
+            len(axes_shape),
+            axes_shape,
+            np.array(axes, dtype=np.uint32),
+            True,
+        )
+
+        return rms_nrom_op
diff --git a/backends/qualcomm/builders/op_softmax.py b/backends/qualcomm/builders/op_softmax.py
index ae4c89bbb9..cda40aed45 100644
--- a/backends/qualcomm/builders/op_softmax.py
+++ b/backends/qualcomm/builders/op_softmax.py
@@ -17,7 +17,7 @@
 
 @register_node_visitor
 class Softmax(NodeVisitor):
-    target = ["aten._softmax.default"]
+    target = ["aten._softmax.default", "aten._safe_softmax.default"]
 
     def __init__(self, *args) -> None:
         super().__init__(*args)
diff --git a/backends/qualcomm/builders/qnn_constants.py b/backends/qualcomm/builders/qnn_constants.py
index dca47ebeec..8ac702f2ad 100644
--- a/backends/qualcomm/builders/qnn_constants.py
+++ b/backends/qualcomm/builders/qnn_constants.py
@@ -124,13 +124,6 @@ class OpExpandDims:
     param_axis: str = "axis"
 
 
-@dataclass(init=False, frozen=True)
-class OpReduceSum:
-    op_name: str = "ReduceSum"
-    param_axes: str = "axes"
-    param_keep_dims: str = "keep_dims"
-
-
 @dataclass(init=False, frozen=True)
 class OpFullyConnected:
     op_name: str = "FullyConnected"
@@ -144,13 +137,14 @@ class OpGather:
 
 
 @dataclass(init=False, frozen=True)
-class OpGelu:
-    op_name: str = "Gelu"
+class OpGatherND:
+    op_name: str = "GatherNd"
+    param_batch_dims: str = "batch_dims"
 
 
 @dataclass(init=False, frozen=True)
-class OpSqrt:
-    op_name: str = "ElementWiseSquareRoot"
+class OpGelu:
+    op_name: str = "Gelu"
 
 
 @dataclass(init=False, frozen=True)
@@ -246,6 +240,13 @@ class OpReduceMean:
     param_keep_dims: str = "keep_dims"
 
 
+@dataclass(init=False, frozen=True)
+class OpReduceSum:
+    op_name: str = "ReduceSum"
+    param_axes: str = "axes"
+    param_keep_dims: str = "keep_dims"
+
+
 @dataclass(init=False, frozen=True)
 class OpRelu:
     op_name: str = "Relu"
@@ -277,6 +278,19 @@ class OpResizeNearestNeighbor:
     param_half_pixel_centers: str = "half_pixel_centers"
 
 
+@dataclass(init=False, frozen=True)
+class OpRmsNorm:
+    op_name: str = "RmsNorm"
+    param_epsilon: str = "epsilon"
+    param_axes: str = "axes"
+
+
+@dataclass(init=False, frozen=True)
+class OpScatterNd:
+    op_name: str = "ScatterNd"
+    param_reduction: str = "reduction"
+
+
 @dataclass(init=False, frozen=True)
 class OpSigmoid:
     op_name: str = "Sigmoid"
@@ -307,6 +321,11 @@ class OpSplit:
     param_split_index: str = "split_index"
 
 
+@dataclass(init=False, frozen=True)
+class OpSqrt:
+    op_name: str = "ElementWiseSquareRoot"
+
+
 @dataclass(init=False, frozen=True)
 class OpSqueeze:
     op_name: str = "Squeeze"
diff --git a/backends/qualcomm/partition/common_defs.py b/backends/qualcomm/partition/common_defs.py
index 61935cf353..d68441c2f7 100644
--- a/backends/qualcomm/partition/common_defs.py
+++ b/backends/qualcomm/partition/common_defs.py
@@ -13,8 +13,15 @@
     exir_ops.edge.aten.clone.default,
     exir_ops.edge.aten.full.default,
     exir_ops.edge.aten.slice_scatter.default,
-    exir_ops.edge.aten.index.Tensor,
-    exir_ops.edge.aten.index_put.default,
+    exir_ops.edge.aten.copy.default,
+]
+
+to_be_implemented_operator = [
+    exir_ops.edge.aten.any.dim,
+    exir_ops.edge.aten.eq.Scalar,
+    exir_ops.edge.aten.full_like.default,
+    exir_ops.edge.aten.logical_not.default,
+    exir_ops.edge.aten.where.self,
 ]
 
 allow_list_operator = [
diff --git a/backends/qualcomm/partition/qnn_partitioner.py b/backends/qualcomm/partition/qnn_partitioner.py
index c3afc23dae..659bda517f 100644
--- a/backends/qualcomm/partition/qnn_partitioner.py
+++ b/backends/qualcomm/partition/qnn_partitioner.py
@@ -27,7 +27,11 @@
 from torch.fx.passes.infra.partitioner import Partition
 from torch.fx.passes.operator_support import OperatorSupportBase
 
-from .common_defs import allow_list_operator, not_supported_operator
+from .common_defs import (
+    allow_list_operator,
+    not_supported_operator,
+    to_be_implemented_operator,
+)
 
 
 class QnnOperatorSupport(OperatorSupportBase):
@@ -40,16 +44,7 @@ def __init__(
     ):
         self.node_visitors = node_visitor.get_node_visitors(edge_program)
 
-        self.skip_node_op_builder_set = set()
-        if skip_node_op_set is not None:
-            self.skip_node_op_builder_set = set(
-                [
-                    self.node_visitors[val]
-                    for val in skip_node_op_set
-                    if val in self.node_visitors
-                ]
-            )
-
+        self.skip_node_op_set = skip_node_op_set
         self.skip_node_id_set = skip_node_id_set
         self.nodes_to_wrappers = defaultdict(dict)
         self.qnn_manager = PyQnnManager.QnnManager(
@@ -62,17 +57,18 @@ def is_node_supported(self, _, node: torch.fx.Node) -> bool:
         if node.op != "call_function" or node.target in not_supported_operator:
             return False
 
+        if node.target in to_be_implemented_operator:
+            print(
+                f"[QNN Partitioner Op Support]: {node.target.__name__} | Skipped, this op can be supported, please report an issue in https://github.com/pytorch/executorch/issues"
+            )
+            return False
+
         if node.target in allow_list_operator:
             return True
 
-        if self.skip_node_id_set is not None and node.name in self.skip_node_id_set:
-            print(f"[QNN Partitioner Op Support]: {node.target.__name__} | Skipped")
-            return False
-
         if (
-            self.skip_node_op_builder_set is not None
-            and self.node_visitors[node.target.__name__]
-            in self.skip_node_op_builder_set
+            node.name in self.skip_node_id_set
+            or node.target.__name__ in self.skip_node_op_set
         ):
             print(f"[QNN Partitioner Op Support]: {node.target.__name__} | Skipped")
             return False
@@ -114,8 +110,8 @@ def __init__(
             QnnBackend.__name__, self.compiler_specs_snapshot
         )
         self.partition_tags: Dict[str, DelegationSpec] = {}
-        self.skip_node_id_set = skip_node_id_set
-        self.skip_node_op_set = skip_node_op_set
+        self.skip_node_id_set = set() if skip_node_id_set is None else skip_node_id_set
+        self.skip_node_op_set = set() if skip_node_op_set is None else skip_node_op_set
 
     def generate_partitions(
         self, edge_program: torch.export.ExportedProgram
@@ -131,18 +127,35 @@ def generate_partitions(
             op_support=self.op_support_checker,
         )
 
-    def tag_nodes(self, partitions: List[Partition]) -> None:
+    def tag_nodes(
+        self, partitions: List[Partition], edge_program: torch.export.ExportedProgram
+    ) -> None:
         for partition in partitions:
             for node in partition.nodes:
                 delegation_tag = f"qnn_{partition.id}"
                 node.meta["delegation_tag"] = delegation_tag
                 self.partition_tags[delegation_tag] = self.delegation_spec
 
+        # need to take care of consumed constants
+        consumed_constants = (
+            *edge_program.graph_signature.inputs_to_buffers,
+            *edge_program.graph_signature.inputs_to_parameters,
+        )
+        for node in edge_program.graph_module.graph.nodes:
+            # find placeholders as lifted_constants
+            if node.op != "placeholder" or len(node.users) != 0:
+                continue
+
+            if node.name in consumed_constants:
+                # does no harm to merge them into last partition,
+                # since they will all be removed in following stage
+                node.meta["delegation_tag"] = delegation_tag
+
     # override
     def partition(self, edge_program: torch.export.ExportedProgram) -> PartitionResult:
         partitions = self.generate_partitions(edge_program)
         if len(partitions) != 0:
-            self.tag_nodes(partitions)
+            self.tag_nodes(partitions, edge_program)
             tag_constant_data(edge_program)
         for node in edge_program.graph_module.graph.nodes:
             if hasattr(node, "meta"):
diff --git a/backends/qualcomm/passes/annotate_and_quant_scalar.py b/backends/qualcomm/passes/annotate_and_quant_scalar.py
index 5f111ee9c8..1db50694ec 100644
--- a/backends/qualcomm/passes/annotate_and_quant_scalar.py
+++ b/backends/qualcomm/passes/annotate_and_quant_scalar.py
@@ -14,7 +14,7 @@
 from executorch.exir.passes import dead_code_elimination_pass
 from torch.fx.passes.utils.source_matcher_utils import get_source_partitions
 
-from .utils import get_quant_attrs
+from .utils import dq_ops, get_quant_attrs
 
 
 class AnnotateAndQuantScalar(ExportPass):
@@ -78,6 +78,7 @@ def _annotate_scalar_node(
             float,
             torch.float32,
             torch.int32,
+            torch.int64,
         ]:
             return
 
@@ -88,30 +89,43 @@ def _traverse_binary_node(self, graph_module: torch.fx.GraphModule):
             graph_module.graph, self.binary_op_sources
         )
         src_partitions = list(itertools.chain(*src_partitions.values()))
+        processed = set()
         for src_partition in src_partitions:
-            output = src_partition.output_nodes[0]
-            if (
-                output.meta.get(QCOM_QUANT_ATTRS)
-                and len(src_partition.input_nodes) == 1
-            ):
-                dq_node = src_partition.input_nodes[0]
-                q_node = dq_node.args[0]
-                q_node_attrs = get_quant_attrs(graph_module, q_node)
-
-                scalar_nodes = [n for n in output.args if n != dq_node]
-                if len(scalar_nodes) == 0:
+            # need post process here to identify partitioned nodes:
+            src_fn_dict = {}
+            for n in src_partition.nodes:
+                # e.g.
+                # meta["source_fn_stack"]: [('mul', <built-in function mul>)]
+                # we'll use <built-in function mul> as grouping key
+                node_list = src_fn_dict.setdefault(n.meta["source_fn_stack"][-1][1], [])
+                node_list.append(n)
+
+            for nodes in src_fn_dict.values():
+                output = [n for n in nodes if n in src_partition.output_nodes][0]
+                # if all args have been annotated, it shouldn't be a scalar operation
+                if all(arg.target in dq_ops for arg in output.args):
                     continue
 
-                scalar_node = scalar_nodes[0]
-                source_scalar_node = self._get_source_scalar_node(scalar_node)
-                # we'll abandon cast op here, since the constant scalar will
-                # be pre-loaded into QNN context binary
-                output.replace_input_with(scalar_node, source_scalar_node)
+                if output not in processed and QCOM_QUANT_ATTRS in output.meta:
+                    dq_node = [n for n in output.args if n.target in dq_ops][0]
+                    q_node = dq_node.args[0]
+                    q_node_attrs = get_quant_attrs(graph_module, q_node)
+
+                    scalar_nodes = [n for n in output.args if n != dq_node]
+                    if len(scalar_nodes) == 0:
+                        continue
+
+                    scalar_node = scalar_nodes[0]
+                    source_scalar_node = self._get_source_scalar_node(scalar_node)
+                    # we'll abandon cast op here, since the constant scalar will
+                    # be pre-loaded into QNN context binary
+                    output.replace_input_with(scalar_node, source_scalar_node)
 
-                scalar_quant_attrs = self._update_scalar_node_attrs(
-                    source_scalar_node, q_node_attrs
-                )
-                self._annotate_scalar_node(source_scalar_node, scalar_quant_attrs)
+                    scalar_quant_attrs = self._update_scalar_node_attrs(
+                        source_scalar_node, q_node_attrs
+                    )
+                    self._annotate_scalar_node(source_scalar_node, scalar_quant_attrs)
+                    processed.add(output)
 
     def call(self, graph_module: torch.fx.GraphModule):
         self._traverse_binary_node(graph_module)
diff --git a/backends/qualcomm/passes/i64_to_i32.py b/backends/qualcomm/passes/i64_to_i32.py
index 7814a3ff0d..1d2171cc37 100644
--- a/backends/qualcomm/passes/i64_to_i32.py
+++ b/backends/qualcomm/passes/i64_to_i32.py
@@ -5,7 +5,9 @@
 # LICENSE file in the root directory of this source tree.
 import torch
 from executorch.backends.qualcomm.builders.utils import get_parameter, is_constant
+from executorch.exir.dialects._ops import ops as exir_ops
 from executorch.exir.pass_base import ExportPass, PassResult
+from torch._subclasses.fake_tensor import FakeTensor
 
 
 class I64toI32(ExportPass):
@@ -16,6 +18,8 @@ class I64toI32(ExportPass):
     def __init__(self, edge_program: torch.export.ExportedProgram):
         super(I64toI32, self).__init__()
         self.edge_program = edge_program
+        # pyre-ignore[4]
+        self.copy_op = exir_ops.edge.aten._to_copy.default
 
     def _update_meta(self, node: torch.fx.node) -> None:
         meta_val = node.meta["val"]
@@ -32,6 +36,10 @@ def _update_meta(self, node: torch.fx.node) -> None:
             if meta_val.dtype == torch.int64:
                 node.meta["val"] = meta_val.to(torch.float)
 
+    # pyre-ignore[2]
+    def _is_tensor_of_dtype(self, node_val, dtype: torch.dtype) -> bool:
+        return isinstance(node_val, FakeTensor) and node_val.dtype == dtype
+
     def _cast_to_int32(self, graph_module: torch.fx.GraphModule):
         for n in graph_module.graph.nodes:
             if is_constant(n, self.edge_program):
@@ -39,6 +47,22 @@ def _cast_to_int32(self, graph_module: torch.fx.GraphModule):
                 if param.dtype == torch.int64:
                     # QNN does not support int64
                     self._update_meta(n)
+            elif n.op == "placeholder":
+                node_val = n.meta["val"]
+                if self._is_tensor_of_dtype(node_val, torch.int64):
+                    with graph_module.graph.inserting_after(n):
+                        args = (n,)
+                        to_dst_node = graph_module.graph.create_node(
+                            "call_function",
+                            self.copy_op,
+                            args,
+                            {"dtype": torch.int32},
+                        )
+                        to_dst_node.meta["val"] = node_val.to(torch.int32)
+
+                        # Replace usage of the src dtype result with the dst dtype result.
+                        n.replace_all_uses_with(to_dst_node)
+                        to_dst_node.args = (n,)
 
     def call(self, graph_module: torch.fx.GraphModule):
         self._cast_to_int32(graph_module)
diff --git a/backends/qualcomm/passes/recompose_pixel_shuffle.py b/backends/qualcomm/passes/recompose_pixel_shuffle.py
deleted file mode 100644
index 9eec6bfa26..0000000000
--- a/backends/qualcomm/passes/recompose_pixel_shuffle.py
+++ /dev/null
@@ -1,46 +0,0 @@
-# Copyright (c) Qualcomm Innovation Center, Inc.
-# All rights reserved
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-import torch
-from executorch.exir.dialects._ops import ops as exir_ops
-from executorch.exir.pass_base import ExportPass, PassResult
-from torch.fx.passes.utils.source_matcher_utils import get_source_partitions
-
-
-class RecomposePixelShuffle(ExportPass):
-    """
-    Merge decomposed operators back to one super node.
-    """
-
-    def __init__(self):
-        super().__init__()
-
-    def call(self, graph_module: torch.fx.GraphModule):
-        graph = graph_module.graph
-        # decomposed core aten ops
-        partitions = get_source_partitions(graph, [torch.nn.PixelShuffle])
-        for _, src_partitions in partitions.items():
-            for src_partition in src_partitions:
-                input_node = src_partition.input_nodes[0]
-                output_node = src_partition.output_nodes[0]
-                with graph.inserting_after(input_node):
-                    h_in_shape = input_node.meta["val"].shape[2]
-                    h_out_shape = output_node.meta["val"].shape[2]
-                    upscale_factor = h_out_shape / h_in_shape
-
-                    pixel_shuffle_node = graph.create_node(
-                        "call_function",
-                        exir_ops.edge.aten.pixel_shuffle.default,
-                        (input_node, int(upscale_factor)),
-                    )
-                    users = output_node.users.copy()
-                    for user in users:
-                        user.replace_input_with(output_node, pixel_shuffle_node)
-                    # copy metadata
-                    pixel_shuffle_node.meta = output_node.meta
-
-        graph.eliminate_dead_code()
-        graph_module.recompile()
-        return PassResult(graph_module, True)
diff --git a/backends/qualcomm/passes/recompose_pixel_unshuffle.py b/backends/qualcomm/passes/recompose_pixel_unshuffle.py
index a47f3d119a..00d4663908 100644
--- a/backends/qualcomm/passes/recompose_pixel_unshuffle.py
+++ b/backends/qualcomm/passes/recompose_pixel_unshuffle.py
@@ -6,7 +6,6 @@
 import torch
 from executorch.exir.dialects._ops import ops as exir_ops
 from executorch.exir.pass_base import ExportPass, PassResult
-from torch.fx.passes.utils.source_matcher_utils import get_source_partitions
 
 
 class RecomposePixelUnshuffle(ExportPass):
@@ -85,30 +84,6 @@ def call(self, graph_module: torch.fx.GraphModule):
                     # copy metadata
                     pixel_unshuffle_node.meta = node.meta
 
-        # decomposed core aten ops
-        if not self.quantization_capture:
-            partitions = get_source_partitions(graph, [torch.nn.PixelUnshuffle])
-            for _, src_partitions in partitions.items():
-                for src_partition in src_partitions:
-                    input_node = src_partition.input_nodes[0]
-                    output_node = src_partition.output_nodes[0]
-                    with graph.inserting_after(input_node):
-                        h_in_shape = input_node.meta["val"].shape[2]
-                        h_out_shape = output_node.meta["val"].shape[2]
-                        downscale_factor = h_in_shape / h_out_shape
-
-                        op = self.op
-                        pixel_unshuffle_node = graph.create_node(
-                            "call_function",
-                            op,
-                            (input_node, int(downscale_factor)),
-                        )
-                        users = output_node.users.copy()
-                        for user in users:
-                            user.replace_input_with(output_node, pixel_unshuffle_node)
-                        # copy metadata
-                        pixel_unshuffle_node.meta = output_node.meta
-
         graph.eliminate_dead_code()
         graph_module.recompile()
         return PassResult(graph_module, True)
diff --git a/backends/qualcomm/passes/recompose_rms_norm.py b/backends/qualcomm/passes/recompose_rms_norm.py
new file mode 100644
index 0000000000..b26de8bd79
--- /dev/null
+++ b/backends/qualcomm/passes/recompose_rms_norm.py
@@ -0,0 +1,76 @@
+# Copyright (c) Qualcomm Innovation Center, Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+import torch
+from executorch.exir.dialects._ops import ops as exir_ops
+from executorch.exir.pass_base import ExportPass, PassResult
+from torch.fx.passes.utils.source_matcher_utils import get_source_partitions
+
+from .utils import dq_ops
+
+
+class RecomposeRmsNorm(ExportPass):
+    """
+    Merge decomposed operators back to one super node.
+    """
+
+    def __init__(self):
+        super().__init__()
+
+    def _get_eps_node(self, nodes):
+        # eps: one of inputs of add node
+        add_node = [n for n in nodes if hasattr(n, "name") and "add" in n.name][0]
+        for a in add_node.args:
+            if isinstance(a, float) or a.op != "call_function":
+                return a
+
+    def _get_gamma_node(self, output_node):
+        # gamma: one of inputs of output node
+        for a in output_node.args:
+            if a.op != "call_function" or a.target in dq_ops:
+                return a
+
+    def call(self, graph_module: torch.fx.GraphModule):
+        graph = graph_module.graph
+        partitions = get_source_partitions(graph, [torch.nn.RMSNorm])
+        for _, src_partitions in partitions.items():
+            for src_partition in src_partitions:
+                input_len = len(src_partition.input_nodes)
+                if input_len == 1:
+                    input_node = src_partition.input_nodes[0]
+                elif input_len == 2:
+                    inp_0, inp_1 = src_partition.input_nodes
+                    input_node = inp_0 if len(inp_0.users) == 2 else inp_1
+                else:
+                    raise RuntimeError(
+                        f"Found a edge case of rms_node partitoin {src_partition}, which has {input_len} inputs"
+                    )
+
+                output_node = src_partition.output_nodes[0]
+                eps_node = self._get_eps_node(src_partition.nodes)
+                gamma_node = self._get_gamma_node(output_node)
+
+                with graph.inserting_before(output_node):
+                    # args schema
+                    # (Tensor input, int[] normalized_shape, Tensor? weight=None, float? eps=None) -> Tensor
+                    rms_node = graph.create_node(
+                        "call_function",
+                        exir_ops.edge.aten.rms_norm.default,
+                        (
+                            input_node,
+                            list(gamma_node.meta["val"].shape),
+                            gamma_node,
+                            eps_node,
+                        ),
+                    )
+                    users = output_node.users.copy()
+                    for user in users:
+                        user.replace_input_with(output_node, rms_node)
+                    # copy metadata
+                    rms_node.meta = output_node.meta
+
+        graph.eliminate_dead_code()
+        graph_module.recompile()
+        return PassResult(graph_module, True)
diff --git a/backends/qualcomm/passes/replace_index_put_input.py b/backends/qualcomm/passes/replace_index_put_input.py
new file mode 100644
index 0000000000..1eb210cf67
--- /dev/null
+++ b/backends/qualcomm/passes/replace_index_put_input.py
@@ -0,0 +1,54 @@
+# Copyright (c) Qualcomm Innovation Center, Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+import torch
+from executorch.backends.qualcomm.utils.constants import QCOM_ENCODING, QCOM_QUANT_ATTRS
+from executorch.exir.dialects._ops import ops as exir_ops
+from executorch.exir.pass_base import ExportPass, PassResult
+
+
+class ReplaceIndexPutInput(ExportPass):
+    """
+    Index put input workaround for quantized module
+    """
+
+    dq_q_map = {
+        # per tensor
+        exir_ops.edge.quantized_decomposed.dequantize_per_tensor.default: exir_ops.edge.quantized_decomposed.quantize_per_tensor.default,
+        exir_ops.edge.quantized_decomposed.dequantize_per_tensor.tensor: exir_ops.edge.quantized_decomposed.quantize_per_tensor.tensor,
+        # per channel
+        exir_ops.edge.quantized_decomposed.dequantize_per_channel.default: exir_ops.edge.quantized_decomposed.quantize_per_channel.default,
+    }
+
+    def __init__(self, edge_program: torch.export.ExportedProgram):
+        super(ReplaceIndexPutInput, self).__init__()
+        self.edge_program = edge_program
+
+    def call(self, graph_module: torch.fx.GraphModule):
+        graph = graph_module.graph
+        for node in graph.nodes:
+            if node.target == exir_ops.edge.aten.index_put.default:
+                if (
+                    copy_node := list(node.users)[0]
+                ) and copy_node.target == exir_ops.edge.aten.copy.default:
+                    m_buffer_node = copy_node.args[0]
+                    bad_frozen_node = node.args[0]
+                    if QCOM_QUANT_ATTRS in bad_frozen_node.meta:
+                        m_buffer_node.meta[QCOM_QUANT_ATTRS] = bad_frozen_node.meta[
+                            QCOM_QUANT_ATTRS
+                        ]
+                        m_buffer_node.meta[QCOM_QUANT_ATTRS][QCOM_ENCODING] = (
+                            self.dq_q_map[
+                                m_buffer_node.meta[QCOM_QUANT_ATTRS][QCOM_ENCODING]
+                            ]
+                        )
+                    with graph.inserting_after(bad_frozen_node):
+                        node.replace_input_with(bad_frozen_node, m_buffer_node)
+                else:
+                    continue
+
+        graph.eliminate_dead_code()
+        graph_module.recompile()
+        return PassResult(graph_module, True)
diff --git a/backends/qualcomm/passes/replace_inf_buffer.py b/backends/qualcomm/passes/replace_inf_buffer.py
index bafa3fdb18..776bc9beeb 100644
--- a/backends/qualcomm/passes/replace_inf_buffer.py
+++ b/backends/qualcomm/passes/replace_inf_buffer.py
@@ -8,14 +8,18 @@
 
 
 class ReplaceInfBuffer(ExportPass):
+    """
+    Due to limitation in Qnn, we need to change inf or -inf to arbitrary value in quantization.
+    """
+
     def __init__(self):
         super(ReplaceInfBuffer, self).__init__()
 
     def call(self, graph_module: torch.fx.GraphModule):
         for buf_name, tensor in graph_module.named_buffers():
             if tensor.is_floating_point():
-                tensor[tensor == float("inf")] = torch.finfo(torch.float32).max
-                tensor[tensor == float("-inf")] = torch.finfo(torch.float32).min
+                tensor[tensor == float("inf")] = 255
+                tensor[tensor == float("-inf")] = -255
                 setattr(graph_module, buf_name, tensor)
 
         graph_module.recompile()
diff --git a/backends/qualcomm/quantizer/custom_annotation.py b/backends/qualcomm/quantizer/custom_annotation.py
new file mode 100644
index 0000000000..9cde50b9c7
--- /dev/null
+++ b/backends/qualcomm/quantizer/custom_annotation.py
@@ -0,0 +1,120 @@
+# Copyright (c) Qualcomm Innovation Center, Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+from typing import Sequence
+
+import torch
+from executorch.backends.qualcomm.quantizer.quantizer import (
+    get_16a8w_qnn_ptq_config,
+    get_default_8bit_qnn_ptq_config,
+    QuantizationConfig,
+)
+from executorch.backends.qualcomm.quantizer.utils import QUANT_ANNOTATION_KEY
+from torch.ao.quantization.quantizer import (
+    QuantizationAnnotation,
+    SharedQuantizationSpec,
+)
+from torch.fx import Node
+
+
+def custom_annotate_llama_matmul_16a8w(gm: torch.fx.GraphModule) -> None:  # noqa: C901
+    """
+    This function is specific for llama matmul op 16a8w.
+    """
+
+    def annotate_matmul(node: Node, quantization_config: QuantizationConfig):
+        input_qspec_map = {}
+        input_act = node.args[0]
+        input_spec = quantization_config.input_activation
+        input_qspec_map[input_act] = input_spec
+        input_act1 = node.args[1]
+        input_spec1 = quantization_config.weight
+        input_qspec_map[input_act1] = input_spec1
+        node.meta[QUANT_ANNOTATION_KEY] = QuantizationAnnotation(
+            input_qspec_map=input_qspec_map,
+            output_qspec=quantization_config.output_activation,
+            _annotated=True,
+        )
+
+    def annotate_index_put(node: Node, quantization_config: QuantizationConfig) -> None:
+        input = node.args[0]
+        value = node.args[2]
+        input_qspec_map = {}
+        input_qspec_map[input] = quantization_config.input_activation
+        input_qspec_map[value] = SharedQuantizationSpec((input, node))
+        node.meta[QUANT_ANNOTATION_KEY] = QuantizationAnnotation(
+            input_qspec_map=input_qspec_map,
+            output_qspec=SharedQuantizationSpec((input, node)),
+            _annotated=True,
+        )
+
+    def annotate_single_in_single_out(
+        node: Node, quantization_config: QuantizationConfig
+    ) -> None:
+        input_qspec_map = {}
+        input_act = node.args[0]
+        input_qspec_map[input_act] = quantization_config.input_activation
+        node.meta[QUANT_ANNOTATION_KEY] = QuantizationAnnotation(
+            input_qspec_map=input_qspec_map,
+            output_qspec=quantization_config.output_activation,
+            _annotated=True,
+        )
+
+    def annotate_cat(node: Node, quantization_config: QuantizationConfig):
+        input_nodes = node.args[0]
+        assert isinstance(input_nodes, Sequence)
+        first_input_node = input_nodes[0]
+        input_qspec_map = {}
+        assert isinstance(first_input_node, Node)
+        assert isinstance(node, Node)
+        input_qspec_map[first_input_node] = quantization_config.input_activation
+        share_qparams_with_input_act0_qspec = SharedQuantizationSpec(
+            (first_input_node, node)
+        )
+        for input_node in input_nodes[1:]:
+            if input_node not in input_qspec_map:
+                assert isinstance(input_node, Node)
+                input_qspec_map[input_node] = share_qparams_with_input_act0_qspec
+        node.meta[QUANT_ANNOTATION_KEY] = QuantizationAnnotation(
+            input_qspec_map=input_qspec_map,
+            output_qspec=share_qparams_with_input_act0_qspec,
+            _annotated=True,
+        )
+
+    def is_edge_condition(node: Node):
+        if not isinstance(node, Node) or node.op != "call_function":
+            return True
+        return False
+
+    def annotate_matmul_input1(node: Node, quantization_config: QuantizationConfig):
+        if is_edge_condition(node):
+            return
+        if node.target in [
+            torch.ops.aten.index_put.default,
+            torch.ops.aten.index_put_.default,
+        ]:
+            annotate_index_put(node, quantization_config)
+            annotate_matmul_input1(node.args[0], quantization_config)
+        elif node.target == torch.ops.aten.cat.default:
+            annotate_cat(node, quantization_config)
+            # Expect that the inputs of the cat op are select ops
+            for arg in node.args[0]:
+                annotate_matmul_input1(arg, quantization_config)
+        else:
+            annotate_single_in_single_out(node, quantization_config)
+            annotate_matmul_input1(node.args[0], quantization_config)
+
+    # Annotate 16a8w for matmul op to get better performance
+    quantization_config_16a8w = get_16a8w_qnn_ptq_config()
+    # Annotate 8a8w for second input of matmul until past_kv_cache
+    quantization_config_8a8w = get_default_8bit_qnn_ptq_config(act_symmetric=True)
+    for node in gm.graph.nodes:
+        if node.op == "call_function" and node.target == torch.ops.aten.matmul.default:
+            if "nn_module_stack" in node.meta:
+                module_values_list = list(node.meta["nn_module_stack"].values())
+                full_qualified_name = module_values_list[-1][0]
+                if "SDPA" in full_qualified_name:
+                    annotate_matmul(node, quantization_config_16a8w)
+                    annotate_matmul_input1(node.args[1], quantization_config_8a8w)
diff --git a/backends/qualcomm/quantizer/quantizer.py b/backends/qualcomm/quantizer/quantizer.py
index d51e016473..e27edf939c 100644
--- a/backends/qualcomm/quantizer/quantizer.py
+++ b/backends/qualcomm/quantizer/quantizer.py
@@ -116,7 +116,7 @@ def _update_per_channel_weight_quant_ops(self, ops: Set[OpOverload], enable: boo
         if enable:
             self.use_per_channel_weight_quant_ops.update(ops)
         else:
-            self.use_per_channel_weight_quant_ops.difference(ops)
+            self.use_per_channel_weight_quant_ops.difference_update(ops)
 
     def add_16bit_quant_ops(self, ops: Set[OpOverload]) -> None:
         for op in ops:
diff --git a/backends/qualcomm/quantizer/utils.py b/backends/qualcomm/quantizer/utils.py
index f2265daf32..d3ae1194ac 100644
--- a/backends/qualcomm/quantizer/utils.py
+++ b/backends/qualcomm/quantizer/utils.py
@@ -4,6 +4,7 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 import numbers
+import operator
 from dataclasses import dataclass
 from functools import partial
 from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple
@@ -77,7 +78,7 @@ def _derive_bias_qparams_fn(
 
 
 def get_default_8bit_qnn_ptq_config(
-    act_symmetric: bool = False, act_observer=MinMaxObserver
+    act_symmetric: bool = False, act_observer=MovingAverageMinMaxObserver
 ) -> QuantizationConfig:
     extra_args: Dict[str, Any] = {"eps": 2**-12}
 
@@ -96,7 +97,7 @@ def get_default_8bit_qnn_ptq_config(
         quant_max=torch.iinfo(torch.int8).max,
         qscheme=torch.per_tensor_symmetric,
         ch_axis=0,
-        observer_or_fake_quant_ctr=act_observer.with_args(**extra_args),
+        observer_or_fake_quant_ctr=MinMaxObserver.with_args(**extra_args),
     )
 
     bias_quantization_spec = QuantizationSpec(
@@ -104,7 +105,7 @@ def get_default_8bit_qnn_ptq_config(
         quant_min=torch.iinfo(torch.int32).min,
         quant_max=torch.iinfo(torch.int32).max,
         qscheme=torch.per_tensor_symmetric,
-        observer_or_fake_quant_ctr=act_observer.with_args(**extra_args),
+        observer_or_fake_quant_ctr=MinMaxObserver.with_args(**extra_args),
     )
 
     quantization_config = QuantizationConfig(
@@ -619,7 +620,13 @@ def annotate_upsample_nearest2d(
     annotate_single_in_single_out(node, quantization_config)
 
 
-@register_annotator([torch.ops.aten.softmax.int, torch.ops.aten._softmax.default])
+@register_annotator(
+    [
+        torch.ops.aten.softmax.int,
+        torch.ops.aten._softmax.default,
+        torch.ops.aten._safe_softmax.default,
+    ]
+)
 def annotate_softmax(node: Node, quantization_config: QuantizationConfig) -> None:
     annotate_single_in_single_out(node, quantization_config)
 
@@ -684,6 +691,31 @@ def annotate_squeeze(node: Node, quantization_config: QuantizationConfig) -> Non
         annotate_single_in_single_out(node, quantization_config)
 
 
+@register_annotator([torch.ops.aten.rms_norm.default])
+def annotate_rms_norm(node: Node, quantization_config: QuantizationConfig) -> None:
+    act_node = node.args[0]
+    weight_node = node.args[2]
+
+    if _is_annotated([node]):
+        return
+
+    # TODO current only support 16a16w
+    _annotate_input_qspec_map(
+        node,
+        act_node,
+        quantization_config.input_activation,
+    )
+
+    _annotate_input_qspec_map(
+        node,
+        weight_node,
+        quantization_config.input_activation,
+    )
+    nodes_to_mark_annotated = [node]
+    _annotate_output_qspec(node, quantization_config.output_activation)
+    _mark_nodes_as_annotated(nodes_to_mark_annotated)
+
+
 @register_annotator([torch.ops.aten.rsqrt.default])
 def annotate_rsqrt(node: Node, quantization_config: QuantizationConfig) -> None:
     annotate_single_in_single_out(node, quantization_config)
@@ -784,6 +816,38 @@ def annotate_embedding(node: Node, quantization_config: QuantizationConfig) -> N
     )
 
 
+@register_annotator([torch.ops.aten.index.Tensor])
+def annotate_index(node: Node, quantization_config: QuantizationConfig) -> None:
+    annotate_in_out_obs_sharing_op(node, quantization_config)
+    if not _is_annotated([node]):
+        input_qspec_map = {}
+        input = node.args[0]
+        input_qspec_map[input] = quantization_config.input_activation
+        node.meta[QUANT_ANNOTATION_KEY] = QuantizationAnnotation(
+            input_qspec_map=input_qspec_map,
+            output_qspec=SharedQuantizationSpec((input, node)),
+            _annotated=True,
+        )
+
+
+@register_annotator(
+    [torch.ops.aten.index_put.default, torch.ops.aten.index_put_.default]
+)
+def annotate_index_put(node: Node, quantization_config: QuantizationConfig) -> None:
+    input = node.args[0]
+    value = node.args[2]
+
+    input_qspec_map = {}
+    input_qspec_map[input] = quantization_config.input_activation
+    input_qspec_map[value] = SharedQuantizationSpec((input, node))
+
+    node.meta[QUANT_ANNOTATION_KEY] = QuantizationAnnotation(
+        input_qspec_map=input_qspec_map,
+        output_qspec=SharedQuantizationSpec((input, node)),
+        _annotated=True,
+    )
+
+
 @register_annotator([torch.ops.aten.expand.default])
 def annotate_expand(node: Node, quantization_config: QuantizationConfig) -> None:
     annotate_in_out_obs_sharing_op(node, quantization_config)
@@ -943,6 +1007,38 @@ def annotate_linear(node: Node, quantization_config: QuantizationConfig) -> None
     node.meta["source_fn_stack"] = [(node, torch.nn.Linear)]
 
 
+@register_annotator([torch.ops.aten._native_batch_norm_legit_no_training.default])
+def annotate_batch_norm(node: Node, quantization_config: QuantizationConfig) -> None:
+    act, weight, bias = node.args[0:3]
+    if _is_annotated([node]):
+        return
+
+    _annotate_input_qspec_map(
+        node,
+        act,
+        quantization_config.input_activation,
+    )
+    # QNN requires uint8 instead of int8 in 'weight' config
+    _annotate_input_qspec_map(
+        node,
+        weight,
+        quantization_config.input_activation,
+    )
+    _annotate_input_qspec_map(
+        node,
+        bias,
+        quantization_config.bias,
+    )
+    _annotate_output_qspec(node, quantization_config.output_activation)
+    _mark_nodes_as_annotated([node, *node.args[0:3]])
+
+
+@register_annotator([operator.getitem])
+def annotate_getitem(node: Node, quantization_config: QuantizationConfig) -> None:
+    _annotate_output_qspec(node, quantization_config.output_activation)
+    _mark_nodes_as_annotated([node])
+
+
 @register_annotator([torch.ops.aten.layer_norm.default])
 def annotate_layer_norm(node: Node, quantization_config: QuantizationConfig) -> None:
     act_node = node.args[0]
diff --git a/backends/qualcomm/runtime/QnnExecuTorch.h b/backends/qualcomm/runtime/QnnExecuTorch.h
index 45525726ca..dabd4cdde5 100644
--- a/backends/qualcomm/runtime/QnnExecuTorch.h
+++ b/backends/qualcomm/runtime/QnnExecuTorch.h
@@ -44,7 +44,7 @@ struct CustomMemTensorInfo {
   size_t tensor_bytes;
   uint32_t* shape;
   uint32_t rank;
-  torch::executor::ScalarType dtype;
+  exec_aten::ScalarType dtype;
 };
 
 /// Allocate specific tensors (usually graph inputs and outputs) on shared
diff --git a/backends/qualcomm/runtime/QnnExecuTorchBackend.cpp b/backends/qualcomm/runtime/QnnExecuTorchBackend.cpp
index f08f688cf9..f5c9473411 100644
--- a/backends/qualcomm/runtime/QnnExecuTorchBackend.cpp
+++ b/backends/qualcomm/runtime/QnnExecuTorchBackend.cpp
@@ -23,12 +23,12 @@ Result<DelegateHandle*> QnnExecuTorchBackend::init(
     ArrayRef<CompileSpec> compile_specs) const {
   // covert SizedBuffer to qnn ExecuTorch option
   QnnExecuTorchContextBinary qnn_context_blob;
-  const qnn_delegate::QnnExecuTorchOptions* qnn_executorch_options;
+  const qnn_delegate::QnnExecuTorchOptions* qnn_executorch_options = nullptr;
 
   qnn_context_blob.buffer = const_cast<void*>(processed->data());
   qnn_context_blob.nbytes = processed->size();
 
-  // covert CompileSpec to qnn ExecuTorch option
+  // convert CompileSpec to qnn ExecuTorch option
   for (auto& compile_spec : compile_specs) {
     if (std::strcmp(compile_spec.key, QNN_COMPILE_SPEC) == 0)
       qnn_executorch_options =
@@ -213,8 +213,10 @@ Error QnnExecuTorchBackend::execute(
   }
 
   ET_CHECK_OR_RETURN_ERROR(
-      qnn_manager->Execute(input_tensor_structs, output_tensor_structs) ==
-          Error::Ok,
+      qnn_manager->Execute(
+          input_tensor_structs,
+          output_tensor_structs,
+          context.event_tracer()) == Error::Ok,
       Internal,
       "Fail to execute graph");
   ET_CHECK_OR_RETURN_ERROR(
diff --git a/backends/qualcomm/runtime/QnnExecuTorchBackend.h b/backends/qualcomm/runtime/QnnExecuTorchBackend.h
index 2963ec0f62..fbcc705889 100644
--- a/backends/qualcomm/runtime/QnnExecuTorchBackend.h
+++ b/backends/qualcomm/runtime/QnnExecuTorchBackend.h
@@ -14,7 +14,8 @@
 namespace torch {
 namespace executor {
 
-class QnnExecuTorchBackend final : public PyTorchBackendInterface {
+class QnnExecuTorchBackend final
+    : public ::executorch::runtime::BackendInterface {
  public:
   ~QnnExecuTorchBackend(){};
 
@@ -24,7 +25,7 @@ class QnnExecuTorchBackend final : public PyTorchBackendInterface {
       ArrayRef<CompileSpec> compile_specs) const override;
 
   Error execute(
-      __ET_UNUSED BackendExecutionContext& context,
+      ET_UNUSED BackendExecutionContext& context,
       DelegateHandle* handle,
       EValue** args) const override;
 
diff --git a/backends/qualcomm/runtime/QnnManager.cpp b/backends/qualcomm/runtime/QnnManager.cpp
index 3dc135deb6..f4275f0ab3 100644
--- a/backends/qualcomm/runtime/QnnManager.cpp
+++ b/backends/qualcomm/runtime/QnnManager.cpp
@@ -8,7 +8,9 @@
 #include <executorch/backends/qualcomm/runtime/QnnManager.h>
 #include <executorch/backends/qualcomm/runtime/SharedBuffer.h>
 #include <executorch/backends/qualcomm/runtime/Utils.h>
+#include <executorch/backends/qualcomm/runtime/backends/QnnBackendCommon.h>
 #include <executorch/backends/qualcomm/runtime/backends/QnnImplementation.h>
+#include <executorch/extension/tensor/tensor.h>
 #include <algorithm>
 #include <cstdlib>
 #include <cstring>
@@ -56,9 +58,7 @@ QnnManager::QnnManager(
         "backend_type: %s", EnumNameQnnExecuTorchBackendType(backend_type));
     QNN_EXECUTORCH_LOG_INFO("graph_name: %s", options_->graph_name()->c_str());
     QNN_EXECUTORCH_LOG_INFO("library_path: %s", library_path.c_str());
-    QNN_EXECUTORCH_LOG_INFO(
-        "tensor_dump_output_path: %s",
-        options_->tensor_dump_output_path()->c_str());
+    QNN_EXECUTORCH_LOG_INFO("dump intermediate outputs: %s", IsTensorDump());
     QNN_EXECUTORCH_LOG_INFO(
         "log_level: %s", EnumNameQnnExecuTorchLogLevel(options_->log_level()));
     QNN_EXECUTORCH_LOG_INFO(
@@ -281,6 +281,8 @@ Error QnnManager::Init() {
         options_->backend_options()->backend_type());
     backend_params_ptr_ = QnnBackendFactory().Create(
         qnn_loaded_backend_, logger_.get(), qnn_context_blob_, options_);
+    ET_CHECK_OR_RETURN_ERROR(
+        backend_params_ptr_ != nullptr, Internal, "Failed to load Qnn backend.")
     ET_CHECK_OR_RETURN_ERROR(
         backend_params_ptr_->qnn_backend_ptr_->Configure() == Error::Ok,
         Internal,
@@ -332,7 +334,8 @@ Error QnnManager::AllocateTensor() {
     const std::string& tensor_name = tensor_wrapper->GetName();
     // this is required by identifying shared buffer mechanism
     // info might be missed if context binary came from qnn_converter
-    if (tensor_name.find("output_") == std::string::npos) {
+    if (options_->is_from_context_binary() &&
+        tensor_name.find("output_") == std::string::npos) {
       tensor_wrapper->SetName("output_" + tensor_name);
     }
     if (IsTensorDump()) {
@@ -362,7 +365,8 @@ Error QnnManager::AllocateTensor(
 
 Error QnnManager::Execute(
     const std::vector<Qnn_Tensor_t>& input_tensor_structs,
-    std::vector<Qnn_Tensor_t>& output_tensor_structs) {
+    std::vector<Qnn_Tensor_t>& output_tensor_structs,
+    EventTracer* event_tracer) {
   Qnn_ErrorHandle_t error = QNN_SUCCESS;
 
   error = backend_params_ptr_->qnn_graph_ptr_->GraphExecute(
@@ -373,30 +377,27 @@ Error QnnManager::Execute(
         "qnn_graph_execute failed. Error %d", QNN_GET_ERROR_CODE(error));
     return Error::Internal;
   }
-
   if (IsTensorDump()) {
     // TODO: Need to handle the graph which is partitioned.
     // Maybe we could use graph name.
-    std::string dir = options_->tensor_dump_output_path()->str() + "/Result/";
-    CreateDirectory(dir);
-    QNN_EXECUTORCH_LOG_INFO("Dump tensor to the path: %s", dir.c_str());
     for (std::size_t out_idx = 0; out_idx < output_tensor_structs.size();
          ++out_idx) {
       const Qnn_Tensor_t& output_tensor = output_tensor_structs[out_idx];
-
-      std::string output_path =
-          dir + QNN_VER_PTR(output_tensor)->name + "_tensor.raw";
-
-      std::ofstream fout(output_path, std::ios::binary);
-      if (fout.fail()) {
-        QNN_EXECUTORCH_LOG_ERROR(
-            "Dump tensor name: %s Failed.", QNN_VER_PTR(output_tensor)->name);
-        return Error::Internal;
-      }
-
-      fout.write(
-          static_cast<const char*>(QNN_VER_PTR(output_tensor)->clientBuf.data),
-          QNN_VER_PTR(output_tensor)->clientBuf.dataSize);
+      std::vector<exec_aten::SizesType> sizes(
+          QNN_VER_PTR(output_tensor)->dimensions,
+          QNN_VER_PTR(output_tensor)->dimensions +
+              QNN_VER_PTR(output_tensor)->rank);
+
+      auto dump_tensor = executorch::extension::from_blob(
+          QNN_VER_PTR(output_tensor)->clientBuf.data,
+          sizes,
+          qnn_dtype_to_scalar_type_[QNN_VER_PTR(output_tensor)->dataType]);
+
+      torch::executor::event_tracer_log_output_delegate<exec_aten::Tensor>(
+          event_tracer,
+          QNN_VER_PTR(output_tensor)->name,
+          /*delegate_debug_id=*/static_cast<torch::executor::DebugHandle>(-1),
+          *dump_tensor);
     }
   }
 
diff --git a/backends/qualcomm/runtime/QnnManager.h b/backends/qualcomm/runtime/QnnManager.h
index 5190f6768b..3d1cc3863a 100644
--- a/backends/qualcomm/runtime/QnnManager.h
+++ b/backends/qualcomm/runtime/QnnManager.h
@@ -37,7 +37,8 @@ class QnnManager {
 
   Error Execute(
       const std::vector<Qnn_Tensor_t>& input_tensor_structs,
-      std::vector<Qnn_Tensor_t>& output_tensor_structs);
+      std::vector<Qnn_Tensor_t>& output_tensor_structs,
+      EventTracer* event_tracer);
 
   Error ProfileExecuteData(EventTracer* event_tracer);
 
@@ -52,7 +53,7 @@ class QnnManager {
   }
 
   bool IsTensorDump() {
-    return options_->tensor_dump_output_path()->size() > 0;
+    return options_->dump_intermediate_outputs();
   }
 
   bool IsNodeSupportedByBackend(
diff --git a/backends/qualcomm/runtime/SharedBuffer.cpp b/backends/qualcomm/runtime/SharedBuffer.cpp
index 430c8f757a..2b2a729835 100644
--- a/backends/qualcomm/runtime/SharedBuffer.cpp
+++ b/backends/qualcomm/runtime/SharedBuffer.cpp
@@ -25,7 +25,7 @@ std::size_t std::hash<CustomMemTensorInfo>::operator()(
     hash_val ^= info.shape[i];
   }
   hash_val ^= std::hash<uint32_t>()(info.rank);
-  hash_val ^= std::hash<torch::executor::ScalarType>()(info.dtype);
+  hash_val ^= std::hash<exec_aten::ScalarType>()(info.dtype);
   return hash_val;
 }
 
@@ -87,7 +87,12 @@ SharedBuffer& SharedBuffer::GetSharedBufferManager() {
   std::lock_guard<std::mutex> lk(init_mutex_);
   static SharedBuffer shared_buffer_manager;
   if (!shared_buffer_manager.GetInitialize()) {
+#if defined(__aarch64__)
     Error status = shared_buffer_manager.Load();
+#else
+    // For x86_64 platform
+    Error status = Error::Ok;
+#endif
     if (status == Error::Ok) {
       shared_buffer_manager.SetInitialize(true);
     }
@@ -96,9 +101,11 @@ SharedBuffer& SharedBuffer::GetSharedBufferManager() {
 }
 
 SharedBuffer::~SharedBuffer() {
+#if defined(__aarch64__)
   if (initialize_) {
     SharedBuffer::GetSharedBufferManager().UnLoad();
   }
+#endif
 };
 
 void* SharedBuffer::AllocMem(size_t bytes, size_t alignment) {
diff --git a/backends/qualcomm/runtime/TARGETS b/backends/qualcomm/runtime/TARGETS
new file mode 100644
index 0000000000..0a42614a38
--- /dev/null
+++ b/backends/qualcomm/runtime/TARGETS
@@ -0,0 +1,5 @@
+load(":targets.bzl", "define_common_targets")
+
+oncall("executorch")
+
+define_common_targets()
diff --git a/backends/qualcomm/runtime/backends/QnnBackendCommon.cpp b/backends/qualcomm/runtime/backends/QnnBackendCommon.cpp
index 3e286c07b0..c67f9b52f5 100644
--- a/backends/qualcomm/runtime/backends/QnnBackendCommon.cpp
+++ b/backends/qualcomm/runtime/backends/QnnBackendCommon.cpp
@@ -53,6 +53,85 @@ Error QnnBackend::Configure() {
   }
   return Error::Ok;
 }
+
+Error QnnBackend::VerifyQNNSDKVersion(
+    const QnnExecuTorchBackendType backend_id) {
+  const QnnInterface& qnn_interface = implementation_.GetQnnInterface();
+
+  Qnn_ApiVersion_t qnn_version = {QNN_VERSION_INIT};
+  Qnn_ErrorHandle_t error =
+      qnn_interface.qnn_backend_get_api_version(&qnn_version);
+  if (error != QNN_SUCCESS) {
+    QNN_EXECUTORCH_LOG_ERROR("Failed to get Qnn API version.");
+    return Error::Internal;
+  }
+
+  Qnn_ApiVersion_t expected_version = {QNN_VERSION_INIT};
+  expected_version.coreApiVersion.major = QNN_API_VERSION_MAJOR;
+  expected_version.coreApiVersion.minor = QNN_API_VERSION_MINOR;
+  expected_version.coreApiVersion.patch = QNN_API_VERSION_PATCH;
+  expected_version.backendApiVersion = GetExpectedBackendVersion();
+  const char* backend_type = EnumNameQnnExecuTorchBackendType(backend_id);
+
+  Error status = VersionChecker(
+      qnn_version.coreApiVersion, expected_version.coreApiVersion, "Qnn API");
+  if (status == Error::Ok) {
+    status = VersionChecker(
+        qnn_version.backendApiVersion,
+        expected_version.backendApiVersion,
+        backend_type);
+  }
+
+  return status;
+}
+
+Error QnnBackend::VersionChecker(
+    const Qnn_Version_t& qnn_version,
+    const Qnn_Version_t& expected,
+    const std::string& prefix) {
+  if (qnn_version.major != expected.major) {
+    QNN_EXECUTORCH_LOG_ERROR(
+        "%s version %u.%u.%u is not supported. "
+        "The minimum supported version is %u.%u.%u. Please make "
+        "sure you have the correct backend library version.",
+        prefix.c_str(),
+        qnn_version.major,
+        qnn_version.minor,
+        qnn_version.patch,
+        expected.major,
+        expected.minor,
+        expected.patch);
+    return Error::Internal;
+  }
+  if (qnn_version.major == QNN_API_VERSION_MAJOR &&
+      qnn_version.minor < expected.minor) {
+    QNN_EXECUTORCH_LOG_WARN(
+        "%s version %u.%u.%u is mismatched. "
+        "The minimum supported version is %u.%u.%u. Please make "
+        "sure you have the correct backend library version.",
+        prefix.c_str(),
+        qnn_version.major,
+        qnn_version.minor,
+        qnn_version.patch,
+        expected.major,
+        expected.minor,
+        expected.patch);
+  }
+  if ((qnn_version.major == QNN_API_VERSION_MAJOR &&
+       qnn_version.minor > expected.minor)) {
+    QNN_EXECUTORCH_LOG_WARN(
+        "%s version %u.%u.%u is used. "
+        "The version is tested against %u.%u.%u.",
+        prefix.c_str(),
+        qnn_version.major,
+        qnn_version.minor,
+        qnn_version.patch,
+        expected.major,
+        expected.minor,
+        expected.patch);
+  }
+  return Error::Ok;
+}
 } // namespace qnn
 } // namespace executor
 } // namespace torch
diff --git a/backends/qualcomm/runtime/backends/QnnBackendCommon.h b/backends/qualcomm/runtime/backends/QnnBackendCommon.h
index e6ea0adff8..de007898e5 100644
--- a/backends/qualcomm/runtime/backends/QnnBackendCommon.h
+++ b/backends/qualcomm/runtime/backends/QnnBackendCommon.h
@@ -13,8 +13,10 @@
 
 #include <vector>
 
+#include "HTP/QnnHtpCommon.h"
 #include "QnnBackend.h"
 #include "QnnCommon.h"
+#include "QnnTypes.h"
 namespace torch {
 namespace executor {
 namespace qnn {
@@ -43,7 +45,10 @@ class QnnBackend {
     return handle_;
   }
 
+  Error VerifyQNNSDKVersion(const QnnExecuTorchBackendType backend_id);
+
  protected:
+  virtual Qnn_Version_t GetExpectedBackendVersion() const = 0;
   virtual Error MakeConfig(std::vector<const QnnBackend_Config_t*>& config) {
     return Error::Ok;
   };
@@ -52,6 +57,10 @@ class QnnBackend {
   Qnn_BackendHandle_t handle_;
   const QnnImplementation& implementation_;
   QnnLogger* logger_;
+  Error VersionChecker(
+      const Qnn_Version_t& qnn_version,
+      const Qnn_Version_t& expected,
+      const std::string& prefix);
 };
 } // namespace qnn
 } // namespace executor
diff --git a/backends/qualcomm/runtime/backends/QnnBackendFactory.cpp b/backends/qualcomm/runtime/backends/QnnBackendFactory.cpp
index acb9552468..9fb292613a 100644
--- a/backends/qualcomm/runtime/backends/QnnBackendFactory.cpp
+++ b/backends/qualcomm/runtime/backends/QnnBackendFactory.cpp
@@ -16,6 +16,7 @@ std::unique_ptr<BackendConfigParameters> QnnBackendFactory::Create(
     const QnnExecuTorchContextBinary& qnn_context_blob,
     const QnnExecuTorchOptions* options) {
   auto backend_params = std::make_unique<BackendConfigParameters>();
+
   switch (options->backend_options()->backend_type()) {
     case QnnExecuTorchBackendType::kHtpBackend: {
       auto htp_options = options->backend_options()->htp_options();
@@ -51,6 +52,7 @@ std::unique_ptr<BackendConfigParameters> QnnBackendFactory::Create(
       }
       backend_params->qnn_backend_ptr_ =
           std::make_unique<HtpBackend>(implementation, logger);
+
       backend_params->qnn_device_ptr_ = std::make_unique<HtpDevice>(
           implementation, logger, options->soc_info(), htp_options);
 
@@ -72,7 +74,6 @@ std::unique_ptr<BackendConfigParameters> QnnBackendFactory::Create(
       backend_params->qnn_mem_manager_ptr_ = std::make_unique<QnnMemManager>(
           implementation, backend_params->qnn_context_ptr_.get());
       backend_params->backend_init_state_ = BackendInitializeState::INITIALIZED;
-      return backend_params;
     } break;
     case QnnExecuTorchBackendType::kGpuBackend:
     case QnnExecuTorchBackendType::kDspBackend:
@@ -81,7 +82,11 @@ std::unique_ptr<BackendConfigParameters> QnnBackendFactory::Create(
       return nullptr;
   }
 
-  // should not reach here
+  if (backend_params->qnn_backend_ptr_->VerifyQNNSDKVersion(
+          options->backend_options()->backend_type()) == Error::Ok) {
+    return backend_params;
+  }
+
   return nullptr;
 }
 } // namespace qnn
diff --git a/backends/qualcomm/runtime/backends/QnnProfiler.cpp b/backends/qualcomm/runtime/backends/QnnProfiler.cpp
index fa5829d23b..ae336a800b 100644
--- a/backends/qualcomm/runtime/backends/QnnProfiler.cpp
+++ b/backends/qualcomm/runtime/backends/QnnProfiler.cpp
@@ -7,7 +7,6 @@
  */
 
 #include <executorch/backends/qualcomm/runtime/backends/QnnProfiler.h>
-#include <iostream>
 
 namespace torch {
 namespace executor {
diff --git a/backends/qualcomm/runtime/backends/htpbackend/HtpBackend.h b/backends/qualcomm/runtime/backends/htpbackend/HtpBackend.h
index d4b14178a4..d00bd50cdc 100644
--- a/backends/qualcomm/runtime/backends/htpbackend/HtpBackend.h
+++ b/backends/qualcomm/runtime/backends/htpbackend/HtpBackend.h
@@ -8,7 +8,9 @@
 #pragma once
 
 #include <executorch/backends/qualcomm/runtime/backends/QnnBackendCommon.h>
+#include "HTP/QnnHtpCommon.h"
 #include "HTP/QnnHtpProfile.h"
+#include "QnnTypes.h"
 namespace torch {
 namespace executor {
 namespace qnn {
@@ -24,6 +26,14 @@ class HtpBackend : public QnnBackend {
         event_type == QNN_HTP_PROFILE_EVENTTYPE_GRAPH_EXECUTE_ACCEL_TIME_CYCLE);
   }
 
+  Qnn_Version_t GetExpectedBackendVersion() const override {
+    Qnn_Version_t backend_version;
+    backend_version.major = QNN_HTP_API_VERSION_MAJOR;
+    backend_version.minor = QNN_HTP_API_VERSION_MINOR;
+    backend_version.patch = QNN_HTP_API_VERSION_PATCH;
+    return backend_version;
+  }
+
  protected:
   Error MakeConfig(std::vector<const QnnBackend_Config_t*>& config) override {
     return Error::Ok;
diff --git a/backends/qualcomm/runtime/backends/htpbackend/HtpContextCustomConfig.h b/backends/qualcomm/runtime/backends/htpbackend/HtpContextCustomConfig.h
index 00568bdc32..35fc2d373d 100644
--- a/backends/qualcomm/runtime/backends/htpbackend/HtpContextCustomConfig.h
+++ b/backends/qualcomm/runtime/backends/htpbackend/HtpContextCustomConfig.h
@@ -39,7 +39,7 @@ class HtpContextCustomConfig {
     return htp_context_config_.back().get();
   }
 
-  const QnnContext* context_;
+  [[maybe_unused]] const QnnContext* context_;
   std::vector<std::unique_ptr<QnnHtpContext_CustomConfig_t>>
       htp_context_config_;
   [[maybe_unused]] const QnnExecuTorchHtpBackendOptions* htp_options_;
diff --git a/backends/qualcomm/runtime/targets.bzl b/backends/qualcomm/runtime/targets.bzl
new file mode 100644
index 0000000000..61650fab26
--- /dev/null
+++ b/backends/qualcomm/runtime/targets.bzl
@@ -0,0 +1,68 @@
+load(
+    "@fbsource//tools/build_defs:default_platform_defs.bzl",
+    "ANDROID",
+)
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+
+    runtime.cxx_library(
+        name = "logging",
+        srcs = [
+            "Logging.cpp",
+        ],
+        exported_headers = [
+            "Logging.h",
+        ],
+        define_static_target = True,
+        platforms = [ANDROID],
+        visibility = ["@EXECUTORCH_CLIENTS"],
+        deps = [
+            "fbsource//third-party/qualcomm/qnn:api",
+            "//executorch/runtime/backend:interface",
+            "//executorch/runtime/core:core",
+        ],
+        exported_deps = [
+            "//executorch/backends/qualcomm:schema",
+        ],
+    )
+
+    runtime.cxx_library(
+        name = "runtime",
+        srcs = glob(
+            [
+                "*.cpp",
+                "backends/*.cpp",
+                "backends/htpbackend/*.cpp",
+                "backends/htpbackend/aarch64/*.cpp",
+            ],
+            exclude = ["Logging.cpp"],
+        ),
+        exported_headers = glob(
+            [
+                "*.h",
+                "backends/*.h",
+                "backends/htpbackend/*.h",
+            ],
+            exclude = ["Logging.h"],
+        ),
+        define_static_target = True,
+        link_whole = True,  # needed for executorch/examples/models/llama2:main to register QnnBackend
+        platforms = [ANDROID],
+        visibility = ["@EXECUTORCH_CLIENTS"],
+        deps = [
+            "fbsource//third-party/qualcomm/qnn:api",
+            ":logging",
+            "//executorch/backends/qualcomm:schema",
+            "//executorch/backends/qualcomm/aot/ir:qcir_utils",
+            "//executorch/backends/qualcomm/aot/wrappers:wrappers",
+            "//executorch/runtime/backend:interface",
+            "//executorch/runtime/core:core",
+            "//executorch/extension/tensor:tensor",
+        ],
+    )
diff --git a/backends/qualcomm/scripts/build.sh b/backends/qualcomm/scripts/build.sh
index 3712a83fde..4cb2f50bbd 100755
--- a/backends/qualcomm/scripts/build.sh
+++ b/backends/qualcomm/scripts/build.sh
@@ -4,6 +4,7 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 set -e
+set -o xtrace
 
 if [[ -z ${QNN_SDK_ROOT} ]]; then
     echo "Please export QNN_SDK_ROOT=/path/to/qnn_sdk"
@@ -16,7 +17,7 @@ usage() {
   echo "Usage: Build the aarch64 version of executor runner or the python interface of Qnn Manager"
   echo "First, you need to set the environment variable for QNN_SDK_ROOT"
   echo ", and if you want to build the aarch64 version of executor runner"
-  echo ", you need to set ANDROID_NDK_ROOT"
+  echo ", you need to export ANDROID_NDK_ROOT=/path/to/android_ndkXX"
   echo "e.g.: executorch$ ./backends/qualcomm/scripts/build.sh --skip_x86_64"
   exit 1
 }
@@ -25,11 +26,12 @@ usage() {
 [ "$1" = -h ] && usage
 
 BUILD_X86_64="true"
-CMAKE_X86_64="build_x86_64"
+CMAKE_X86_64="build-x86"
 BUILD_AARCH64="true"
-CMAKE_AARCH64="build_android"
+CMAKE_AARCH64="build-android"
 CLEAN="true"
 BUILD_TYPE="Debug"
+BUILD_JOB_NUMBER="16"
 
 if [ -z PYTHON_EXECUTABLE ]; then
   PYTHON_EXECUTABLE="python3"
@@ -39,7 +41,7 @@ if [ -z BUCK2 ]; then
   BUCK2="buck2"
 fi
 
-long_options=skip_x86_64,skip_aarch64,no_clean,release
+long_options=skip_x86_64,skip_aarch64,no_clean,release,job_number:
 
 parsed_args=$(getopt -a --options '' --longoptions $long_options --name "$0" -- "$@")
 eval set -- "$parsed_args"
@@ -51,6 +53,7 @@ while true ; do
         --skip_aarch64) BUILD_AARCH64="false"; shift;;
         --no_clean) CLEAN="false"; shift;;
         --release) BUILD_TYPE="Release"; shift;;
+        --job_number) BUILD_JOB_NUMBER="$2"; shift 2;;
         --) shift; break;;
     esac
 done
@@ -59,12 +62,16 @@ PRJ_ROOT="$( cd "$(dirname "$0")/../../.." ; pwd -P)"
 
 if [ "$BUILD_AARCH64" = true ]; then
     if [[ -z ${ANDROID_NDK_ROOT} ]]; then
-        echo "Please export ANDROID_NDK_ROOT=/path/to/android_ndk"
+        echo "Please export ANDROID_NDK_ROOT=/path/to/android_ndkXX"
         exit -1
     fi
+
     BUILD_ROOT=$PRJ_ROOT/$CMAKE_AARCH64
     if [ "$CLEAN" = true ]; then
         rm -rf $BUILD_ROOT && mkdir $BUILD_ROOT
+    else
+        # Force rebuild flatccrt for the correct platform
+        cd $BUILD_ROOT/devtools && make clean
     fi
 
     cd $BUILD_ROOT
@@ -72,8 +79,9 @@ if [ "$BUILD_AARCH64" = true ]; then
         -DCMAKE_INSTALL_PREFIX=$BUILD_ROOT \
         -DCMAKE_BUILD_TYPE=$BUILD_TYPE \
         -DEXECUTORCH_BUILD_QNN=ON \
-        -DEXECUTORCH_BUILD_SDK=ON \
+        -DEXECUTORCH_BUILD_DEVTOOLS=ON \
         -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+        -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
         -DEXECUTORCH_ENABLE_EVENT_TRACER=ON \
         -DQNN_SDK_ROOT=$QNN_SDK_ROOT \
         -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK_ROOT/build/cmake/android.toolchain.cmake \
@@ -82,7 +90,7 @@ if [ "$BUILD_AARCH64" = true ]; then
         -DPYTHON_EXECUTABLE=$PYTHON_EXECUTABLE \
         -B$BUILD_ROOT
 
-    cmake --build $BUILD_ROOT -j16 --target install
+    cmake --build $BUILD_ROOT -j$BUILD_JOB_NUMBER --target install
 
     EXAMPLE_ROOT=examples/qualcomm
     CMAKE_PREFIX_PATH="${BUILD_ROOT}/lib/cmake/ExecuTorch;${BUILD_ROOT}/third-party/gflags;"
@@ -97,29 +105,46 @@ if [ "$BUILD_AARCH64" = true ]; then
         -DPYTHON_EXECUTABLE=$PYTHON_EXECUTABLE \
         -B$EXAMPLE_ROOT
 
-    cmake --build $EXAMPLE_ROOT -j16
+    cmake --build $EXAMPLE_ROOT -j$BUILD_JOB_NUMBER
 fi
 
 if [ "$BUILD_X86_64" = true ]; then
-    # Build python interface
     BUILD_ROOT=$PRJ_ROOT/$CMAKE_X86_64
     if [ "$CLEAN" = true ]; then
         rm -rf $BUILD_ROOT && mkdir $BUILD_ROOT
+    else
+        # Force rebuild flatccrt for the correct platform
+        cd $BUILD_ROOT/devtools && make clean
     fi
+
     cd $BUILD_ROOT
     cmake \
-        -DCMAKE_BUILD_TYPE=RelWithDebInfo \
+        -DCMAKE_BUILD_TYPE=$BUILD_TYPE \
+        -DCMAKE_INSTALL_PREFIX=$BUILD_ROOT \
         -DQNN_SDK_ROOT=${QNN_SDK_ROOT} \
         -DEXECUTORCH_BUILD_QNN=ON \
+        -DEXECUTORCH_BUILD_DEVTOOLS=ON \
+        -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+        -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
+        -DEXECUTORCH_ENABLE_EVENT_TRACER=ON \
         -DPYTHON_EXECUTABLE=$PYTHON_EXECUTABLE \
-        -DBUCK2=$BUCK2 \
         -S $PRJ_ROOT \
         -B $BUILD_ROOT \
 
-    cmake \
-    --build $BUILD_ROOT \
-    -t "PyQnnManagerAdaptor" "PyQnnWrapperAdaptor" -j16
+    cmake --build $BUILD_ROOT -j$BUILD_JOB_NUMBER --target install
 
     rm -f $PRJ_ROOT/backends/qualcomm/python/*
     cp -fv $BUILD_ROOT/backends/qualcomm/Py* "$PRJ_ROOT/backends/qualcomm/python"
+
+   EXAMPLE_ROOT=examples/qualcomm
+   CMAKE_PREFIX_PATH="${BUILD_ROOT}/lib/cmake/ExecuTorch;${BUILD_ROOT}/third-party/gflags;"
+
+   cmake $PRJ_ROOT/$EXAMPLE_ROOT \
+       -DCMAKE_BUILD_TYPE=$BUILD_TYPE \
+       -DCMAKE_PREFIX_PATH=$CMAKE_PREFIX_PATH \
+       -DCMAKE_FIND_ROOT_PATH_MODE_PACKAGE=BOTH \
+       -DPYTHON_EXECUTABLE=$PYTHON_EXECUTABLE \
+       -B$EXAMPLE_ROOT
+
+   cmake --build $EXAMPLE_ROOT -j$BUILD_JOB_NUMBER
 fi
diff --git a/backends/qualcomm/serialization/qnn_compile_spec_schema.py b/backends/qualcomm/serialization/qnn_compile_spec_schema.py
index 338f61997e..8471aad982 100644
--- a/backends/qualcomm/serialization/qnn_compile_spec_schema.py
+++ b/backends/qualcomm/serialization/qnn_compile_spec_schema.py
@@ -129,7 +129,7 @@ class QnnExecuTorchOptions:
     library_path: str = ""
     log_level: QnnExecuTorchLogLevel = QnnExecuTorchLogLevel.kLogOff
     online_prepare: bool = False
-    tensor_dump_output_path: str = ""
+    dump_intermediate_outputs: bool = False
     profile_level: QnnExecuTorchProfileLevel = QnnExecuTorchProfileLevel.kProfileOff
     shared_buffer: bool = False
     is_from_context_binary: bool = False
diff --git a/backends/qualcomm/serialization/schema.fbs b/backends/qualcomm/serialization/schema.fbs
index 4288c83b13..4e7fdb56e8 100644
--- a/backends/qualcomm/serialization/schema.fbs
+++ b/backends/qualcomm/serialization/schema.fbs
@@ -164,11 +164,9 @@ table QnnExecuTorchOptions {
   /// Check if on-device graph construction. Default is false.
   online_prepare:bool;
 
-  /// Tensor dump output path. If a path is given, Delegate would write
-  /// outputs of each OP there.
-  /// In ALL cases, we don't recommend to set this option.
-  /// This option exist just for debugging some accuracy issues.
-  tensor_dump_output_path:string;
+  /// If tensor dump is enabled, all intermediate tensors output will be dumped.
+  /// This option exists for debugging accuracy issues. Default is off.
+  dump_intermediate_outputs:bool;
 
   /// Profiling level of the delegate and the backend. Default is off.
   profile_level:QnnExecuTorchProfileLevel;
diff --git a/backends/qualcomm/setup.md b/backends/qualcomm/setup.md
index b4b0f2ea72..37d8e04c21 100644
--- a/backends/qualcomm/setup.md
+++ b/backends/qualcomm/setup.md
@@ -1,189 +1,7 @@
 # Setting up QNN Backend
 
-This is a tutorial for building and running Qualcomm AI Engine Direct backend,
+Please refer to [Building and Running ExecuTorch with Qualcomm AI Engine Direct Backend](../../docs/source/build-run-qualcomm-ai-engine-direct-backend.md).
+
+That is a tutorial for building and running Qualcomm AI Engine Direct backend,
 including compiling a model on a x64 host and running the inference
 on a Android device.
-
-
-## Prerequisite
-
-Please finish tutorial [Setting up executorch](../../docs/source/getting-started-setup.md).
-
-
-## Conventions
-
-`$QNN_SDK_ROOT` refers to the root of Qualcomm AI Engine Direct SDK,
-i.e., the directory containing `QNN_README.txt`.
-
-`$ANDROID_NDK_ROOT` refers to the root of Android NDK.
-
-`$EXECUTORCH_ROOT` refers to the root of executorch git repository.
-
-
-## Environment Setup
-
-### Download Qualcomm AI Engine Direct SDK
-
-Navigate to [Qualcomm AI Engine Direct SDK](https://developer.qualcomm.com/software/qualcomm-ai-engine-direct-sdk) and follow the download button.
-
-You might need to apply for a Qualcomm account to download the SDK.
-
-After logging in, search Qualcomm AI Stack at the *Tool* panel.
-You can find Qualcomm AI Engine Direct SDK under the AI Stack group.
-
-Please download the Linux version, and follow instructions on the page to
-extract the file.
-
-The SDK should be installed to somewhere `/opt/qcom/aistack/qnn` by default.
-
-### Download Android NDK
-
-Please navigate to [Android NDK](https://developer.android.com/ndk) and download
-a version of NDK. We recommend LTS version, currently r25c.
-
-### Setup environment variables
-
-We need to make sure Qualcomm AI Engine Direct libraries can be found by
-the dynamic linker on x64. Hence we set `LD_LIBRARY_PATH`. In production,
-we recommend users to put libraries in default search path or use `rpath`
-to indicate the location of libraries.
-
-Further, we set up `$PYTHONPATH` because it's easier to develop and import executorch Python APIs. Users might also build and install executorch package as usual python package.
-
-```bash
-export LD_LIBRARY_PATH=$QNN_SDK_ROOT/lib/x86_64-linux-clang/:$LD_LIBRARY_PATH
-export PYTHONPATH=$EXECUTORCH_ROOT/..
-```
-
-Note: Since we set `PYTHONPATH`, we may have issue with finding `program.fbs`
-and `scalar_type.fbs` when we export a model, because they are installed into
-`pip-out` directory with the same package name pattern. A workaround is that
-we copy `$EXECUTORCH_ROOT/pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/program.fbs`
-and `$EXECUTORCH_ROOT/pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/scalar_type.fbs`
-to `$EXECUTORCH_ROOT/exir/_serialize/`.
-
-
-## End to End Inference
-
-### Step 1: Build Python APIs for AOT compilation on x64
-
-Python APIs on x64 are required to compile models to Qualcomm AI Engine Direct binary.
-Make sure `buck2` is under a directory in `PATH`.
-
-```bash
-cd $EXECUTORCH_ROOT
-mkdir build_x86_64
-cd build_x86_64
-cmake .. -DEXECUTORCH_BUILD_QNN=ON -DQNN_SDK_ROOT=${QNN_SDK_ROOT}
-cmake --build . -t "PyQnnManagerAdaptor" "PyQnnWrapperAdaptor" -j8
-
-# install Python APIs to correct import path
-# The filename might vary depending on your Python and host version.
-cp -f backends/qualcomm/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so $EXECUTORCH_ROOT/backends/qualcomm/python
-cp -f backends/qualcomm/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so $EXECUTORCH_ROOT/backends/qualcomm/python
-```
-
-
-### Step 2: Build `qnn_executor_runner` for Android
-
-`qnn_executor_runner` is an executable running the compiled model.
-
-You might want to ensure the correct `flatc`. `flatc` can be built along with the above step. For example, we can find `flatc` in `build_x86_64/third-party/flatbuffers/`.
-
-We can prepend `$EXECUTORCH_ROOT/build_x86_64/third-party/flatbuffers` to `PATH`. Then below cross-compiling can find the correct flatbuffer compiler.
-
-Commands to build `qnn_executor_runner` for Android:
-
-```bash
-cd $EXECUTORCH_ROOT
-mkdir build_android
-cd build_android
-# build executorch & qnn_executorch_backend
-cmake .. \
-    -DCMAKE_INSTALL_PREFIX=$PWD \
-    -DEXECUTORCH_BUILD_QNN=ON \
-    -DEXECUTORCH_BUILD_SDK=ON \
-    -DEXECUTORCH_ENABLE_EVENT_TRACER=ON \
-    -DQNN_SDK_ROOT=$QNN_SDK_ROOT \
-    -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK_ROOT/build/cmake/android.toolchain.cmake \
-    -DANDROID_ABI='arm64-v8a' \
-    -DANDROID_NATIVE_API_LEVEL=23 \
-    -B$PWD
-
-cmake --build $PWD -j16 --target install
-
-cmake ../examples/qualcomm \
-    -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK_ROOT/build/cmake/android.toolchain.cmake \
-    -DANDROID_ABI='arm64-v8a' \
-    -DANDROID_NATIVE_API_LEVEL=23 \
-    -DCMAKE_PREFIX_PATH="$PWD/lib/cmake/ExecuTorch;$PWD/third-party/gflags;" \
-    -DCMAKE_FIND_ROOT_PATH_MODE_PACKAGE=BOTH \
-    -Bexamples/qualcomm
-
-cmake --build examples/qualcomm -j16
-```
-**Note:** If you want to build for release, add `-DCMAKE_BUILD_TYPE=Release` to the `cmake` command options.
-
-You can find `qnn_executor_runner` under `build_android/examples/qualcomm/`.
-
-
-### Step 3: Compile a model
-
-```
-python -m examples.qualcomm.scripts.export_example --model_name mv2
-```
-
-Then the generated `mv2.pte` can be run on the device by
-`build_android/backends/qualcomm/qnn_executor_runner` with Qualcomm AI Engine
-Direct backend.
-
-[**Note**] To get proper accuracy, please apply calibrations with representative
-dataset, which could be learnt more from examples under `examples/qualcomm/`.
-
-
-### Step 4: Model Inference
-
-The backend rely on Qualcomm AI Engine Direct SDK libraries.
-
-You might want to follow docs in Qualcomm AI Engine Direct SDK to setup the device environment.
-Or see below for a quick setup for testing:
-
-```bash
-# make sure you have write-permission on below path.
-DEVICE_DIR=/data/local/tmp/executorch_test/
-adb shell "mkdir -p ${DEVICE_DIR}"
-adb push ${QNN_SDK_ROOT}/lib/aarch64-android/libQnnHtp.so ${DEVICE_DIR}
-adb push ${QNN_SDK_ROOT}/lib/aarch64-android/libQnnHtpV69Stub.so ${DEVICE_DIR}
-adb push ${QNN_SDK_ROOT}/lib/aarch64-android/libQnnHtpV73Stub.so ${DEVICE_DIR}
-adb push ${QNN_SDK_ROOT}/lib/aarch64-android/libQnnHtpV75Stub.so ${DEVICE_DIR}
-adb push ${QNN_SDK_ROOT}/lib/aarch64-android/libQnnSystem.so ${DEVICE_DIR}
-adb push ${QNN_SDK_ROOT}/lib/hexagon-v69/unsigned/libQnnHtpV69Skel.so ${DEVICE_DIR}
-adb push ${QNN_SDK_ROOT}/lib/hexagon-v73/unsigned/libQnnHtpV73Skel.so ${DEVICE_DIR}
-adb push ${QNN_SDK_ROOT}/lib/hexagon-v75/unsigned/libQnnHtpV75Skel.so ${DEVICE_DIR}
-```
-
-We also need to indicate dynamic linkers on Android and Hexagon where to find these libraries
-by setting `ADSP_LIBRARY_PATH` and `LD_LIBRARY_PATH`.
-
-So, we can run `qnn_executor_runner` like
-```bash
-adb push mv2.pte ${DEVICE_DIR}
-adb push ${EXECUTORCH_ROOT}/build_android/examples/qualcomm/qnn_executor_runner ${DEVICE_DIR}
-adb shell "cd ${DEVICE_DIR} \
-           && export LD_LIBRARY_PATH=${DEVICE_DIR} \
-           && export ADSP_LIBRARY_PATH=${DEVICE_DIR} \
-           && ./qnn_executor_runner --model_path ./mv2_qnn.pte"
-```
-
-You should see the following result.
-Note that no output file will be generated in this example.
-```
-I 00:00:00.133366 executorch:qnn_executor_runner.cpp:156] Method loaded.
-I 00:00:00.133590 executorch:util.h:104] input already initialized, refilling.
-I 00:00:00.135162 executorch:qnn_executor_runner.cpp:161] Inputs prepared.
-I 00:00:00.136768 executorch:qnn_executor_runner.cpp:278] Model executed successfully.
-[INFO][Qnn ExecuTorch] Destroy Qnn backend parameters
-[INFO][Qnn ExecuTorch] Destroy Qnn context
-[INFO][Qnn ExecuTorch] Destroy Qnn device
-[INFO][Qnn ExecuTorch] Destroy Qnn backend
-```
diff --git a/backends/qualcomm/targets.bzl b/backends/qualcomm/targets.bzl
new file mode 100644
index 0000000000..55fe390f6b
--- /dev/null
+++ b/backends/qualcomm/targets.bzl
@@ -0,0 +1,95 @@
+load(
+    "@fbsource//tools/build_defs:default_platform_defs.bzl",
+    "ANDROID",
+)
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+
+# Construct the input and output file names. All input and output files rely on scalar_type file.
+SCHEMA_NAME = "schema"
+
+INPUT_SCHEMA = "serialization/" + SCHEMA_NAME + ".fbs"
+
+OUTPUT_SCHEMA_HEADER = SCHEMA_NAME + "_generated.h"
+
+SCHEMA_GEN_RULE_NAME = "schema_generated"
+
+SCHEMA_LIRRARY_NAME = SCHEMA_NAME
+
+def generate_schema_header(rule_name, srcs, headers, default_header):
+    """Generate header file given flatbuffer schema
+    """
+    runtime.genrule(
+        name = rule_name,
+        srcs = srcs,
+        # We're only generating a single file, so it seems like we could use
+        # `out`, but `flatc` takes a directory as a parameter, not a single
+        # file. Use `outs` so that `${OUT}` is expanded as the containing
+        # directory instead of the file itself.
+        outs = {header: [header] for header in headers},
+        default_outs = [default_header],
+        cmd = " ".join([
+            "$(exe {})".format(runtime.external_dep_location("flatc")),
+            "--cpp",
+            "--cpp-std c++11",
+            "--gen-mutable",
+            "--scoped-enums",
+            "-o ${OUT}",
+            "${SRCS}",
+            # Let our infra know that the file was generated.
+            " ".join(["&& echo // @" + "generated >> ${OUT}/" + header for header in headers]),
+        ]),
+        visibility = [],  # Private
+    )
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+
+    generate_schema_header(
+        SCHEMA_GEN_RULE_NAME,
+        [INPUT_SCHEMA],
+        [OUTPUT_SCHEMA_HEADER],
+        OUTPUT_SCHEMA_HEADER,
+    )
+    # Header-only library target with the generate executorch program schema header.
+    runtime.cxx_library(
+        name = "schema",
+        srcs = [],
+        visibility = [
+            # Lock this down as tightly as possible to ensure that flatbuffers
+            # are an implementation detail. Ideally this list would only include
+            # //executorch/runtime/executor/...
+            "//executorch/codegen/tools/...",
+            "//executorch/runtime/executor/...",
+            "//executorch/backends/qualcomm/...",
+            "//executorch/backends/qualcomm/runtime/...",
+        ],
+        exported_headers = {
+            OUTPUT_SCHEMA_HEADER: ":{}[{}]".format(SCHEMA_GEN_RULE_NAME, OUTPUT_SCHEMA_HEADER),
+        },
+        exported_external_deps = ["flatbuffers-api"],
+        define_static_target = True,
+        platforms = [ANDROID],
+    )
+
+
+    runtime.cxx_library(
+        name = "qnn_executorch_backend",
+        srcs = [],
+        headers = [],
+        define_static_target = True,
+        visibility = ["@EXECUTORCH_CLIENTS"],
+        deps = [
+            "fbsource//third-party/qualcomm/qnn:api",
+            "//executorch/runtime/backend:interface",
+            "//executorch/runtime/core:core",
+            "//executorch/backends/qualcomm/runtime:runtime",
+        ],
+        exported_deps = [
+            ":schema",
+        ],
+    )
diff --git a/backends/qualcomm/tests/models.py b/backends/qualcomm/tests/models.py
index fe72b1e893..e448a21928 100644
--- a/backends/qualcomm/tests/models.py
+++ b/backends/qualcomm/tests/models.py
@@ -55,6 +55,16 @@ def forward(self, x):
         return self.avgPool(x)
 
 
+class BatchNorm(torch.nn.Module):
+    def __init__(self, n_features):
+        super().__init__()
+        self.native_batchnorm = torch.nn.BatchNorm2d(n_features)
+        self.eval()
+
+    def forward(self, x):
+        return self.native_batchnorm(x)
+
+
 class Bmm(torch.nn.Module):
     def __init__(self):
         super().__init__()
@@ -203,14 +213,14 @@ def example_inputs(self):
 
 
 class Conv1dSequential(torch.nn.Module):
-    def __init__(self):
+    def __init__(self, bias=True):
         super().__init__()
         self.first = torch.nn.Conv1d(
             in_channels=1,
             out_channels=3,
             kernel_size=(3),
             padding=1,
-            bias=True,
+            bias=bias,
         )
 
         self.second = torch.nn.Conv1d(
@@ -218,7 +228,7 @@ def __init__(self):
             out_channels=2,
             kernel_size=(3),
             padding=1,
-            bias=True,
+            bias=bias,
         )
 
     def forward(self, x):
@@ -315,21 +325,21 @@ def forward(self, x):
 
 
 class Conv2dSequential(torch.nn.Module):
-    def __init__(self):
+    def __init__(self, bias=True):
         super().__init__()
         self.first = torch.nn.Conv2d(
             in_channels=1,
             out_channels=3,
             kernel_size=(3, 3),
             padding=1,
-            bias=True,
+            bias=bias,
         )
         self.second = torch.nn.Conv2d(
             in_channels=3,
             out_channels=2,
             kernel_size=(3, 3),
             padding=1,
-            bias=True,
+            bias=bias,
         )
 
     def forward(self, x):
@@ -337,14 +347,14 @@ def forward(self, x):
 
 
 class Conv2dSingle(torch.nn.Module):
-    def __init__(self):
+    def __init__(self, bias=True):
         super().__init__()
         self.conv = torch.nn.Conv2d(
             in_channels=1,
             out_channels=3,
             kernel_size=(3, 3),
             padding=1,
-            bias=True,
+            bias=bias,
         )
 
     def forward(self, x):
@@ -443,6 +453,29 @@ def forward(self, x):
         return self.hardtanh(x)
 
 
+class Index(torch.nn.Module):
+    def __init__(self):
+        super().__init__()
+        self.idx0 = torch.tensor([[0, 1], [2, 3], [4, 5]])
+        self.idx1 = torch.tensor([[1, 2], [3, 4], [5, 6]])
+
+    def forward(self, x):
+        return x[self.idx0] + x[self.idx1]
+
+
+class IndexPut(torch.nn.Module):
+    def __init__(self):
+        super().__init__()
+        self.register_buffer(
+            "k_cache",
+            torch.zeros((1, 1024, 12, 64), dtype=torch.float32),
+        )
+
+    def forward(self, input_pos, k_val):
+        k_out = torch.ops.aten.index_put_(self.k_cache, [None, input_pos], k_val)
+        return k_out
+
+
 class LayerNorm(torch.nn.Module):
     def __init__(self):
         super().__init__()
@@ -711,6 +744,16 @@ def forward(self, x):
         )
 
 
+class RmsNorm(torch.nn.Module):
+    def __init__(self):
+        super().__init__()
+        self.eps = 1e-5
+        self.rms = torch.nn.RMSNorm([4], 1e-5)
+
+    def forward(self, x):
+        return self.rms(x)
+
+
 class Rsqrt(torch.nn.Module):
     def __init__(self):
         super().__init__()
diff --git a/backends/qualcomm/tests/test_qnn_delegate.py b/backends/qualcomm/tests/test_qnn_delegate.py
index f9d05131bb..d022ac96c4 100644
--- a/backends/qualcomm/tests/test_qnn_delegate.py
+++ b/backends/qualcomm/tests/test_qnn_delegate.py
@@ -3,6 +3,7 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+import io
 import json
 import subprocess
 import sys
@@ -15,6 +16,7 @@
 from executorch.backends.qualcomm.tests.utils import (
     generate_context_binary,
     QnnPartitioner,
+    QnnQuantizer,
     QuantDtype,
     TestQNN,
     to_backend,
@@ -32,9 +34,10 @@
     from_context_binary,
     generate_htp_compiler_spec,
     generate_qnn_executorch_compiler_spec,
+    skip_annotation,
 )
 
-from executorch.examples.qualcomm.scripts.utils import setup_common_args_and_variables
+from executorch.examples.qualcomm.utils import setup_common_args_and_variables
 
 from executorch.backends.qualcomm.tests.models import *  # noqa: F403
 
@@ -49,8 +52,8 @@
 from executorch.examples.models.mobilenet_v3 import MV3Model
 from executorch.examples.models.torchvision_vit.model import TorchVisionViTModel
 from executorch.examples.models.wav2letter import Wav2LetterModel
+from executorch.exir import to_edge
 from executorch.exir.backend.backend_api import disable_validation
-from executorch.exir.program._program import EdgeCompileConfig, ExirExportedProgram
 
 
 class TestQNNFloatingPointOperator(TestQNN):
@@ -65,7 +68,7 @@ def setUp(self):
             debug=False,
             saver=False,
             online_prepare=TestQNN.online_prepare,
-            tensor_dump_output_path="",
+            dump_intermediate_outputs=TestQNN.dump_intermediate_outputs,
             profile=TestQNN.enable_profile,
             shared_buffer=TestQNN.shared_buffer,
         )
@@ -80,8 +83,14 @@ def test_qnn_backend_avg_pool2d(self):
         sample_input = (torch.randn(1, 3, 2, 2),)
         self.lower_module_and_test_output(module, sample_input)
 
+    def test_qnn_backend_batch_norm(self):
+        module = BatchNorm(32)  # noqa: F405
+        sample_input = (torch.randn([4, 32, 16, 16]),)
+        self.lower_module_and_test_output(module, sample_input)
+
     def test_qnn_backend_bmm(self):
         module = Bmm()  # noqa: F405
+        torch.manual_seed(8)
         sample_input = (torch.randn([4, 8, 32]), torch.randn([4, 32, 8]))
         self.lower_module_and_test_output(module, sample_input)
 
@@ -108,14 +117,18 @@ def test_qnn_backend_clamp(self):
         self.lower_module_and_test_output(module, sample_input)
 
     def test_qnn_backend_conv1d(self):
-        module = Conv1dSequential()  # noqa: F405
+        modules = [Conv1dSequential(), Conv1dSequential(bias=False)]  # noqa: F405
         sample_input = (torch.randn([1, 1, 3]),)
-        self.lower_module_and_test_output(module, sample_input)
+        for i, module in enumerate(modules):
+            with self.subTest(i=i):
+                self.lower_module_and_test_output(module, sample_input)
 
     def test_qnn_backend_conv2d(self):
-        module = Conv2dSequential()  # noqa: F405
+        modules = [Conv2dSequential(), Conv2dSequential(bias=False)]  # noqa: F405
         sample_input = (torch.randn([1, 1, 3, 3]),)
-        self.lower_module_and_test_output(module, sample_input)
+        for i, module in enumerate(modules):
+            with self.subTest(i=i):
+                self.lower_module_and_test_output(module, sample_input)
 
     def test_qnn_backend_element_wise_add(self):
         test_comb = [
@@ -147,6 +160,7 @@ def test_qnn_backend_element_wise_ceil(self):
 
     def test_qnn_backend_element_wise_div(self):
         eps = 1e-03
+        torch.manual_seed(8)
         test_comb = [
             {
                 QCOM_MODULE: [Div()],  # noqa: F405
@@ -256,6 +270,19 @@ def test_qnn_backend_hardtanh(self):
         sample_input = (torch.randn([2, 5, 1, 3]),)
         self.lower_module_and_test_output(module, sample_input)
 
+    def test_qnn_backend_index(self):
+        module = Index()  # noqa: F405
+        sample_input = (torch.randn([8, 172, 64]),)
+        self.lower_module_and_test_output(module, sample_input)
+
+    def test_qnn_backend_index_put(self):
+        module = IndexPut()  # noqa: F405
+        sample_input = (
+            torch.tensor([2], dtype=torch.int32),
+            torch.randn([1, 1, 12, 64]),
+        )
+        self.lower_module_and_test_output(module, sample_input)
+
     def test_qnn_backend_interpolate_bilinear_2d(self):
         module = ResizeBilinear2D()  # noqa: F405
         sample_input = (torch.randn(2, 3, 4, 5),)
@@ -271,7 +298,6 @@ def test_qnn_backend_layer_norm(self):
         sample_input = (torch.randn(196, 768),)
         self.lower_module_and_test_output(module, sample_input)
 
-    @unittest.skip("only works on QNN 2.17")
     def test_qnn_backend_leaky_relu(self):
         test_comb = [
             {
@@ -314,14 +340,12 @@ def test_qnn_backend_mean_dim(self):
             with self.subTest(i=i):
                 self.lower_module_and_test_output(module, sample_input)
 
-    @unittest.skip("it will hang in runtime")
+    @unittest.skip("failed to lower in QNN 2.26")
     def test_qnn_backend_mha(self):
         module = MultiheadAttention()  # noqa: F405
         sample_input = (torch.randn(1, 197, 96),)
         self.lower_module_and_test_output(module, sample_input)
 
-    # fp16 pad op might hit corner case in runtime
-    @unittest.expectedFailure
     def test_qnn_backend_pad(self):
         module = Pad()  # noqa: F405
         sample_input = (torch.randn([1, 8, 128]),)
@@ -342,7 +366,6 @@ def test_qnn_backend_pow_tensor_scalar(self):
         sample_input = (torch.rand([2, 4, 3, 3]),)
         self.lower_module_and_test_output(module, sample_input)
 
-    @unittest.skip("only works on QNN 2.17")
     def test_qnn_backend_prelu(self):
         test_comb = [
             {
@@ -373,6 +396,11 @@ def test_qnn_backend_reshape(self):
         sample_input = (torch.randn([3, 4]),)
         self.lower_module_and_test_output(module, sample_input)
 
+    def test_qnn_backend_rms_norm(self):
+        module = RmsNorm()  # noqa: F405
+        sample_input = (torch.abs(torch.randn([1, 1, 1, 4])),)
+        self.lower_module_and_test_output(module, sample_input)
+
     def test_qnn_backend_rsqrt(self):
         module = Rsqrt()  # noqa: F405
         sample_input = (torch.abs(torch.randn([3, 4])),)
@@ -462,13 +490,14 @@ def setUp(self):
             debug=False,
             saver=False,
             online_prepare=TestQNN.online_prepare,
-            tensor_dump_output_path="",
+            dump_intermediate_outputs=TestQNN.dump_intermediate_outputs,
             profile=TestQNN.enable_profile,
             shared_buffer=TestQNN.shared_buffer,
         )
 
     def test_qnn_backend_chunk_add(self):
         module = ChunkAdd()  # noqa: F405
+        torch.manual_seed(8)
         sample_input = (torch.randn(1, 2, 4, 2),)
         self.lower_module_and_test_output(module, sample_input)
 
@@ -519,6 +548,7 @@ def test_qnn_backend_simple_model(self):
 
     def test_qnn_backend_view_permute_matmul(self):
         module = ViewPermuteMatMul()  # noqa: F405
+        torch.manual_seed(8)
         sample_input = (torch.randn([1, 8, 512]), torch.randn([1, 2, 8, 256]))
         self.lower_module_and_test_output(module, sample_input)
 
@@ -574,18 +604,20 @@ def setUp(self):
             debug=False,
             saver=False,
             online_prepare=TestQNN.online_prepare,
-            tensor_dump_output_path="",
+            dump_intermediate_outputs=TestQNN.dump_intermediate_outputs,
             profile=TestQNN.enable_profile,
             shared_buffer=TestQNN.shared_buffer,
         )
 
     def test_qnn_backend_16a4w_conv2d(self):
-        module = Conv2dSingle()  # noqa: F405
+        modules = [Conv2dSingle(), Conv2dSingle(bias=False)]  # noqa: F405
         sample_input = (torch.randn([1, 1, 3, 3]),)
-        module = self.get_qdq_module(
-            module, sample_input, quant_dtype=QuantDtype.use_16a4w
-        )
-        self.lower_module_and_test_output(module, sample_input)
+        for i, module in enumerate(modules):
+            with self.subTest(i=i):
+                module = self.get_qdq_module(
+                    module, sample_input, quant_dtype=QuantDtype.use_16a4w
+                )
+                self.lower_module_and_test_output(module, sample_input)
 
     def test_qnn_backend_16a4w_linear(self):
         module = Linear()  # noqa: F405
@@ -597,6 +629,7 @@ def test_qnn_backend_16a4w_linear(self):
         )
         self.lower_module_and_test_output(module, sample_input)
 
+    @unittest.skip("segfault happens in QNN 2.26")
     def test_qnn_backend_16a4w_per_channel_linear(self):
         module = Linear(use_bias=False)  # noqa: F405
         sample_input = (torch.randn([3, 4]),)
@@ -631,16 +664,16 @@ def test_qnn_backend_avg_pool2d(self):
         module = self.get_qdq_module(module, sample_input)
         self.lower_module_and_test_output(module, sample_input)
 
-    def test_qnn_backend_bmm(self):
-        module = Bmm()  # noqa: F405
-        sample_input = (torch.randn([4, 8, 32]), torch.randn([4, 32, 8]))
+    def test_qnn_backend_batch_norm(self):
+        module = BatchNorm(32)  # noqa: F405
+        sample_input = (torch.randn([4, 32, 16, 16]),)
         module = self.get_qdq_module(module, sample_input)
         self.lower_module_and_test_output(module, sample_input)
 
-    @unittest.skip("not applicable")
-    def test_qnn_backend_cast(self):
-        module = Cast()  # noqa: F405
-        sample_input = (10 * torch.rand((9, 4, 5, 3)),)
+    def test_qnn_backend_bmm(self):
+        module = Bmm()  # noqa: F405
+        torch.manual_seed(8)
+        sample_input = (torch.randn([4, 8, 32]), torch.randn([4, 32, 8]))
         module = self.get_qdq_module(module, sample_input)
         self.lower_module_and_test_output(module, sample_input)
 
@@ -665,16 +698,20 @@ def test_qnn_backend_clamp(self):
         self.lower_module_and_test_output(module, sample_input)
 
     def test_qnn_backend_conv1d(self):
-        module = Conv1dSequential()  # noqa: F405
+        modules = [Conv1dSequential(), Conv1dSequential(bias=False)]  # noqa: F405
         sample_input = (torch.randn([1, 1, 3]),)
-        module = self.get_qdq_module(module, sample_input)
-        self.lower_module_and_test_output(module, sample_input)
+        for i, module in enumerate(modules):
+            with self.subTest(i=i):
+                module = self.get_qdq_module(module, sample_input)
+                self.lower_module_and_test_output(module, sample_input)
 
     def test_qnn_backend_conv2d(self):
-        module = Conv2dSequential()  # noqa: F405
+        modules = [Conv2dSequential(), Conv2dSequential(bias=False)]  # noqa: F405
         sample_input = (torch.randn([1, 1, 3, 3]),)
-        module = self.get_qdq_module(module, sample_input)
-        self.lower_module_and_test_output(module, sample_input)
+        for i, module in enumerate(modules):
+            with self.subTest(i=i):
+                module = self.get_qdq_module(module, sample_input)
+                self.lower_module_and_test_output(module, sample_input)
 
     def test_qnn_backend_element_wise_add(self):
         test_comb = [
@@ -708,6 +745,7 @@ def test_qnn_backend_element_wise_ceil(self):
 
     def test_qnn_backend_element_wise_div(self):
         eps = 1e-03
+        torch.manual_seed(8)
         test_comb = [
             {
                 QCOM_MODULE: [Div()],  # noqa: F405
@@ -827,6 +865,21 @@ def test_qnn_backend_hardtanh(self):
         module = self.get_qdq_module(module, sample_input)
         self.lower_module_and_test_output(module, sample_input)
 
+    def test_qnn_backend_index(self):
+        module = Index()  # noqa: F405
+        sample_input = (torch.randn([8, 172, 64]),)
+        module = self.get_qdq_module(module, sample_input)
+        self.lower_module_and_test_output(module, sample_input)
+
+    def test_qnn_backend_index_put(self):
+        module = IndexPut()  # noqa: F405
+        sample_input = (
+            torch.tensor([2], dtype=torch.int32),
+            torch.randn([1, 1, 12, 64]),
+        )
+        module = self.get_qdq_module(module, sample_input)
+        self.lower_module_and_test_output(module, sample_input)
+
     def test_qnn_backend_interpolate_bilinear_2d(self):
         module = ResizeBilinear2D()  # noqa: F405
         sample_input = (torch.randn(2, 3, 4, 5),)
@@ -955,6 +1008,14 @@ def test_qnn_backend_reshape(self):
         module = self.get_qdq_module(module, sample_input)
         self.lower_module_and_test_output(module, sample_input)
 
+    def test_qnn_backend_rms_norm(self):
+        module = RmsNorm()  # noqa: F405
+        sample_input = (torch.abs(torch.randn([1, 1, 1, 4])),)
+        module = self.get_qdq_module(
+            module, sample_input, quant_dtype=QuantDtype.use_16a4w
+        )
+        self.lower_module_and_test_output(module, sample_input)
+
     def test_qnn_backend_rsqrt(self):
         module = Rsqrt()  # noqa: F405
         sample_input = (torch.abs(torch.randn([3, 4])),)
@@ -1060,13 +1121,14 @@ def setUp(self):
             debug=False,
             saver=False,
             online_prepare=TestQNN.online_prepare,
-            tensor_dump_output_path="",
+            dump_intermediate_outputs=TestQNN.dump_intermediate_outputs,
             profile=TestQNN.enable_profile,
             shared_buffer=TestQNN.shared_buffer,
         )
 
     def test_qnn_backend_chunk_add(self):
         module = ChunkAdd()  # noqa: F405
+        torch.manual_seed(8)
         sample_input = (torch.randn(1, 1, 4, 2),)
         module = self.get_qdq_module(module, sample_input)
         self.lower_module_and_test_output(module, sample_input)
@@ -1127,6 +1189,7 @@ def test_qnn_backend_simple_model(self):
 
     def test_qnn_backend_view_permute_matmul(self):
         module = ViewPermuteMatMul()  # noqa: F405
+        torch.manual_seed(8)
         sample_input = (torch.randn([1, 8, 512]), torch.randn([1, 2, 8, 256]))
         module = self.get_qdq_module(module, sample_input)
         self.lower_module_and_test_output(module, sample_input)
@@ -1224,6 +1287,22 @@ def setUp(self):
             saver=False,
         )
 
+    def test_qnn_backend_dump_intermediate_outputs(self):
+        backend_options = generate_htp_compiler_spec(use_fp16=True)
+        TestQNN.compiler_specs = generate_qnn_executorch_compiler_spec(
+            soc_model=self.arch_table[TestQNN.model],
+            backend_options=backend_options,
+            dump_intermediate_outputs=True,
+        )
+        module = Relu()  # noqa: F405
+        sample_input = (torch.randn([2, 5, 1, 3]),)
+        self.lower_module_and_test_output(
+            module,
+            sample_input,
+            expected_partitions=1,
+            expected_intermediate_events=3,
+        )
+
     def test_qnn_backend_skip_node_id(self):
         module = SimpleModel()  # noqa: F405
         sample_input = (torch.ones(1, 32, 28, 28), torch.ones(1, 32, 28, 28))
@@ -1282,20 +1361,13 @@ def test_qnn_backend_multi_contexts_composite(self):
             lowered_method=to_backend,
         )
         sample_input = module.get_random_input()
-        edge_prog = ExirExportedProgram(
+        edge_prog = to_edge(
             torch.export.export(module, sample_input),
-            after_to_edge_passes=False,
-        ).to_edge(
-            EdgeCompileConfig(
-                _check_ir_validity=False,
-                _skip_dim_order=True,  # TODO(T182928844): Delegate dim order op to backend.
-            )
         )
-        canonicalize_program(edge_prog.exported_program)
+        canonicalize_program(edge_prog.exported_program())
         exec_prog = edge_prog.to_executorch()
         self.verify_output(module.get_reference_module(), sample_input, exec_prog)
 
-    @unittest.expectedFailure
     def test_qnn_backend_profile_op(self):
         TestQNN.enable_profile = True
         backend_options = generate_htp_compiler_spec(use_fp16=True)
@@ -1310,7 +1382,7 @@ def test_qnn_backend_profile_op(self):
             module,
             sample_input,
             expected_partitions=1,
-            expected_profile_events=25,
+            expected_profile_events=24,
         )
 
     def test_qnn_backend_shared_buffer(self):
@@ -1342,6 +1414,7 @@ def test_qnn_backend_online_prepare(self):
         sample_input = (torch.ones(1, 32, 28, 28), torch.ones(1, 32, 28, 28))
         self.lower_module_and_test_output(module, sample_input)
 
+    @unittest.skip("segfault happens in recent torch.export.export")
     def test_qnn_backend_context_direct(self):
         with tempfile.TemporaryDirectory() as tmp_dir:
             module = ContextBinaryExample()  # noqa: F405
@@ -1385,7 +1458,24 @@ def setUp(self):
             saver=False,
         )
 
-    def test_qnn_backend_skip_node_id(self):
+    def test_qnn_backend_dump_intermediate_outputs(self):
+        backend_options = generate_htp_compiler_spec(use_fp16=False)
+        TestQNN.compiler_specs = generate_qnn_executorch_compiler_spec(
+            soc_model=self.arch_table[TestQNN.model],
+            backend_options=backend_options,
+            dump_intermediate_outputs=True,
+        )
+        module = Relu()  # noqa: F405
+        sample_input = (torch.randn([2, 5, 1, 3]),)
+        module = self.get_qdq_module(module, sample_input)
+        self.lower_module_and_test_output(
+            module,
+            sample_input,
+            expected_partitions=1,
+            expected_intermediate_events=5,
+        )
+
+    def test_qnn_backend_skip_node_id_partitioner(self):
         module = SimpleModel()  # noqa: F405
         sample_input = (torch.ones(1, 32, 28, 28), torch.ones(1, 32, 28, 28))
         module = self.get_qdq_module(module, sample_input)
@@ -1396,7 +1486,43 @@ def test_qnn_backend_skip_node_id(self):
             skip_node_id_set={"aten_add_tensor", "aten_mean_dim"},
         )
 
-    def test_qnn_backend_skip_node_op(self):
+    def test_qnn_backend_skip_node_id_quantizer(self):
+        module = SimpleModel()  # noqa: F405
+        sample_input = (torch.ones(1, 32, 28, 28), torch.ones(1, 32, 28, 28))
+
+        # define partitioner
+        backend_options = generate_htp_compiler_spec(
+            use_fp16=False,
+        )
+        compiler_specs = generate_qnn_executorch_compiler_spec(
+            soc_model=self.arch_table[TestQNN.model],
+            backend_options=backend_options,
+        )
+        partitioner = QnnPartitioner(compiler_specs)
+        # define quantizer
+        quantizer = QnnQuantizer()
+
+        # define calibration method
+        def calibrator(gm):
+            gm(*sample_input)
+
+        # get partially lowererd graph module
+        graph_module, exported_progs = skip_annotation(
+            nn_module=module,
+            quantizer=quantizer,
+            partitioner=partitioner,
+            sample_input=sample_input,
+            calibration_cb=calibrator,
+            fp_node_id_set={"conv2d"},
+        )
+        self.assertEqual(len(exported_progs), 1)
+        # lower all graph again, the skipped operators will be left in CPU
+        exec_prog = to_edge(
+            torch.export.export(graph_module, sample_input),
+        ).to_executorch()
+        self.verify_output(module, sample_input, exec_prog)
+
+    def test_qnn_backend_skip_node_op_partitioner(self):
         module = SimpleModel()  # noqa: F405
         sample_input = (torch.ones(1, 32, 28, 28), torch.ones(1, 32, 28, 28))
         module = self.get_qdq_module(module, sample_input)
@@ -1407,6 +1533,79 @@ def test_qnn_backend_skip_node_op(self):
             skip_node_op_set={"aten.add.Tensor"},
         )
 
+    def test_qnn_backend_skip_node_op_quantizer(self):
+        module = SimpleModel()  # noqa: F405
+        sample_input = (torch.ones(1, 32, 28, 28), torch.ones(1, 32, 28, 28))
+
+        # define partitioner
+        backend_options = generate_htp_compiler_spec(
+            use_fp16=False,
+        )
+        compiler_specs = generate_qnn_executorch_compiler_spec(
+            soc_model=self.arch_table[TestQNN.model],
+            backend_options=backend_options,
+        )
+        partitioner = QnnPartitioner(compiler_specs)
+        # define quantizer
+        quantizer = QnnQuantizer()
+
+        # define calibration method
+        def calibrator(gm):
+            gm(*sample_input)
+
+        # get partially lowererd graph module
+        graph_module, exported_progs = skip_annotation(
+            nn_module=module,
+            quantizer=quantizer,
+            partitioner=partitioner,
+            sample_input=sample_input,
+            calibration_cb=calibrator,
+            fp_node_op_set={torch.ops.aten.add.Tensor},
+        )
+        self.assertEqual(len(exported_progs), 2)
+        # lower all graph again, the skipped operators will be left in CPU
+        exec_prog = exec_prog = to_edge(
+            torch.export.export(graph_module, sample_input),
+        ).to_executorch()
+        self.verify_output(module, sample_input, exec_prog)
+
+    def test_qnn_backend_graph_level_mixed_precision(self):
+        module = SimpleModel()  # noqa: F405
+        sample_input = (torch.ones(1, 32, 28, 28), torch.ones(1, 32, 28, 28))
+
+        # define partitioner
+        backend_options = generate_htp_compiler_spec(
+            use_fp16=False,
+        )
+        compiler_specs = generate_qnn_executorch_compiler_spec(
+            soc_model=self.arch_table[TestQNN.model],
+            backend_options=backend_options,
+        )
+        partitioner = QnnPartitioner(compiler_specs)
+        # define quantizer
+        quantizer = QnnQuantizer()
+
+        # define calibration method
+        def calibrator(gm):
+            gm(*sample_input)
+
+        # get partially lowererd graph module
+        graph_module, exported_progs = skip_annotation(
+            nn_module=module,
+            quantizer=quantizer,
+            partitioner=partitioner,
+            sample_input=sample_input,
+            calibration_cb=calibrator,
+            fp_node_id_set={"add", "mean"},
+            fallback_to_cpu=False,
+        )
+        self.assertEqual(len(exported_progs), 5)
+        # lower all graph again, the skipped operators will be delegated with fp16
+        exec_prog = to_edge(
+            torch.export.export(graph_module, sample_input),
+        ).to_executorch()
+        self.verify_output(module, sample_input, exec_prog)
+
     def test_qnn_backend_multi_contexts(self):
         module = SimpleModel()  # noqa: F405
         sample_input = (torch.ones(1, 32, 28, 28), torch.ones(1, 32, 28, 28))
@@ -1447,20 +1646,13 @@ def test_qnn_backend_multi_contexts_composite(self):
             quantize_method=self.get_qdq_module,
         )
         sample_input = module.get_random_input()
-        edge_prog = ExirExportedProgram(
+        edge_prog = to_edge(
             torch.export.export(module, sample_input),
-            after_to_edge_passes=False,
-        ).to_edge(
-            EdgeCompileConfig(
-                _check_ir_validity=False,
-                _skip_dim_order=True,  # TODO(T182928844): Delegate dim order op to backend.
-            )
         )
-        canonicalize_program(edge_prog.exported_program)
+        canonicalize_program(edge_prog.exported_program())
         exec_prog = edge_prog.to_executorch()
         self.verify_output(module.get_reference_module(), sample_input, exec_prog)
 
-    @unittest.expectedFailure
     def test_qnn_backend_profile_op(self):
         TestQNN.enable_profile = True
         backend_options = generate_htp_compiler_spec(use_fp16=False)
@@ -1476,7 +1668,7 @@ def test_qnn_backend_profile_op(self):
             module,
             sample_input,
             expected_partitions=1,
-            expected_profile_events=26,
+            expected_profile_events=25,
         )
 
     def test_qnn_backend_shared_buffer(self):
@@ -1510,6 +1702,7 @@ def test_qnn_backend_online_prepare(self):
         module = self.get_qdq_module(module, sample_input)
         self.lower_module_and_test_output(module, sample_input)
 
+    @unittest.skip("segfault happens in recent torch.export.export")
     def test_qnn_backend_context_direct(self):
         with tempfile.TemporaryDirectory() as tmp_dir:
             module = ContextBinaryExample()  # noqa: F405
@@ -1623,6 +1816,46 @@ def test_gMLP(self):
                 self.assertGreaterEqual(msg["top_1"], 60)
                 self.assertGreaterEqual(msg["top_5"], 90)
 
+    def test_regnet(self):
+        if not self.required_envs([self.image_dataset]):
+            self.skipTest("missing required envs")
+
+        weights = ["regnet_y_400mf", "regnet_x_400mf"]
+        cmds = [
+            "python",
+            f"{self.executorch_root}/examples/qualcomm/oss_scripts/regnet.py",
+            "--dataset",
+            self.image_dataset,
+            "--artifact",
+            self.artifact_dir,
+            "--build_folder",
+            self.build_folder,
+            "--device",
+            self.device,
+            "--model",
+            self.model,
+            "--ip",
+            self.ip,
+            "--port",
+            str(self.port),
+        ]
+        if self.host:
+            cmds.extend(["--host", self.host])
+
+        for weight in weights:
+            p = subprocess.Popen(
+                cmds + ["--weights", weight], stdout=subprocess.DEVNULL
+            )
+            with Listener((self.ip, self.port)) as listener:
+                conn = listener.accept()
+                p.communicate()
+                msg = json.loads(conn.recv())
+                if "Error" in msg:
+                    self.fail(msg["Error"])
+                else:
+                    self.assertGreaterEqual(msg["top_1"], 60)
+                    self.assertGreaterEqual(msg["top_5"], 85)
+
     def test_ssd300_vgg16(self):
         if not self.required_envs([self.pretrained_weight, self.oss_repo]):
             self.skipTest("missing required envs")
@@ -1769,6 +2002,245 @@ def test_squeezenet(self):
                 self.assertGreaterEqual(msg["top_5"], 70)
 
 
+class TestExampleQaihubScript(TestQNN):
+
+    def required_envs(self, conditions=None) -> bool:
+        conditions = [] if conditions is None else conditions
+        return all(
+            [
+                self.executorch_root,
+                self.artifact_dir,
+                *conditions,
+            ]
+        )
+
+    def test_utils_export(self):
+        with tempfile.TemporaryDirectory() as tmp_dir:
+            module = ContextBinaryExample()  # noqa: F405
+            generate_context_binary(
+                module=module,
+                inputs=module.example_inputs(),
+                quantized=True,
+                artifact_dir=tmp_dir,
+            )
+            ctx_path = f"{tmp_dir}/model_ctx.bin"
+            fpath = f"{self.executorch_root}/examples/qualcomm/qaihub_scripts/utils/export.py"
+
+            # do compilation
+            compile_cmds = [
+                "python",
+                fpath,
+                "compile",
+                "-a",
+                ctx_path,
+                "-m",
+                self.model,
+                "-l",
+                "False",
+                "-b",
+                self.build_folder,
+                "-o",
+                f"{tmp_dir}/output_pte",
+            ]
+            compile_process = subprocess.Popen(
+                compile_cmds, stdout=subprocess.DEVNULL, cwd=self.executorch_root
+            )
+            output_pte_dir = f"{tmp_dir}/output_pte/model_ctx"
+            compile_process.communicate()
+
+            # check artifacts are correctly generated
+            self.assertTrue(
+                all(
+                    [
+                        Path(output_pte_dir).exists(),
+                        Path(f"{output_pte_dir}/model_ctx.json").exists(),
+                        Path(f"{output_pte_dir}/model_ctx.svg").exists(),
+                    ]
+                )
+            )
+
+            # prepare input files
+            input_list, inputs = [], module.example_inputs()
+            for name, tensor in inputs.items():
+                tensor_path = f"{output_pte_dir}/{name}.pt"
+                torch.save(tensor, tensor_path)
+                input_list.append(tensor_path)
+
+            # do execution
+            output_data_dir = f"{tmp_dir}/output_data"
+            execute_cmds = [
+                "python",
+                fpath,
+                "execute",
+                "-p",
+                output_pte_dir,
+                "-i",
+                *input_list,
+                "-s",
+                self.device,
+                "-z",
+                "-b",
+                self.build_folder,
+                "-o",
+                output_data_dir,
+            ]
+            if self.host is not None:
+                execute_cmds.append(f"-H {self.host}")
+            execute_process = subprocess.Popen(execute_cmds, cwd=self.executorch_root)
+            execute_process.communicate()
+
+            # read outputs
+            with open(f"{output_pte_dir}/model_ctx.json", "r") as f:
+                graph_info = json.load(f)
+
+            device_output = []
+            for output in graph_info["outputs"]:
+                with open(f"{output_data_dir}/{output['name']}.pt", "rb") as f:
+                    buffer = io.BytesIO(f.read())
+                    device_output.append(torch.load(buffer, weights_only=False))
+
+            # validate outputs
+            golden_output = module.forward(inputs["x"], inputs["y"])
+            self.atol, self.rtol = 1e-1, 1
+            self._assert_outputs_equal(golden_output, device_output)
+
+    def test_llama2_7b(self):
+        if not self.required_envs():
+            self.skipTest("missing required envs")
+
+        prompt = "Explain the rules of baseball"
+        cmds = [
+            "python",
+            f"{self.executorch_root}/examples/qualcomm/qaihub_scripts/llama/llama2/qaihub_llama2_7b.py",
+            "--artifact",
+            self.artifact_dir,
+            "--build_folder",
+            self.build_folder,
+            "--device",
+            self.device,
+            "--model",
+            self.model,
+            "--tokenizer_bin",
+            f"{self.artifact_dir}/tokenizer.bin",
+            "--context_binaries",
+            f"{self.artifact_dir}",
+            "--ip",
+            self.ip,
+            "--port",
+            str(self.port),
+            "--prompt",
+            f"{prompt}",
+        ]
+        if self.host:
+            cmds.extend(["--host", self.host])
+
+        p = subprocess.Popen(cmds, stdout=subprocess.DEVNULL)
+        with Listener((self.ip, self.port)) as listener:
+            conn = listener.accept()
+            p.communicate()
+            msg = json.loads(conn.recv())
+            if "Error" in msg:
+                self.fail(msg["Error"])
+            else:
+                model_out = msg["result"]
+                self.assertTrue(model_out.startswith(prompt))
+
+    def test_llama3_8b(self):
+        if not self.required_envs():
+            self.skipTest("missing required envs")
+
+        prompt = "Explain the rules of baseball"
+        cmds = [
+            "python",
+            f"{self.executorch_root}/examples/qualcomm/qaihub_scripts/llama/llama3/qaihub_llama3_8b.py",
+            "--artifact",
+            self.artifact_dir,
+            "--build_folder",
+            self.build_folder,
+            "--device",
+            self.device,
+            "--model",
+            self.model,
+            "--tokenizer_model",
+            f"{self.artifact_dir}/tokenizer.model",
+            "--context_binaries",
+            f"{self.artifact_dir}",
+            "--ip",
+            self.ip,
+            "--port",
+            str(self.port),
+            "--prompt",
+            f"{prompt}",
+        ]
+        if self.host:
+            cmds.extend(["--host", self.host])
+
+        p = subprocess.Popen(cmds, stdout=subprocess.DEVNULL)
+        with Listener((self.ip, self.port)) as listener:
+            conn = listener.accept()
+            p.communicate()
+            msg = json.loads(conn.recv())
+            if "Error" in msg:
+                self.fail(msg["Error"])
+            else:
+                model_out = msg["result"]
+                expected_result = (
+                    "<|begin_of_text|><|start_header_id|>user<|end_header_id|>\n\n"
+                    + prompt
+                    + "<|eot_id|><|start_header_id|>assistant<|end_header_id|>"
+                )
+                self.assertTrue(model_out.startswith(expected_result))
+
+    def test_stable_diffusion(self):
+        if not self.required_envs():
+            self.skipTest("missing required envs")
+
+        prompt = "a photo of an astronaut riding a horse on mars"
+        cmds = [
+            "python",
+            f"{self.executorch_root}/examples/qualcomm/qaihub_scripts/stable_diffusion/qaihub_stable_diffusion.py",
+            "--artifact",
+            self.artifact_dir,
+            "--build_folder",
+            self.build_folder,
+            "--device",
+            self.device,
+            "--model",
+            self.model,
+            "--text_encoder_bin",
+            f"{self.artifact_dir}/text_encoder.serialized.bin",
+            "--unet_bin",
+            f"{self.artifact_dir}/unet.serialized.bin",
+            "--vae_bin",
+            f"{self.artifact_dir}/vae.serialized.bin",
+            "--vocab_json",
+            f"{self.artifact_dir}/vocab.json",
+            "--num_time_steps",
+            "20",
+            "--ip",
+            self.ip,
+            "--port",
+            str(self.port),
+            "--prompt",
+            f"{prompt}",
+            "--fix_latents",
+        ]
+        if self.host:
+            cmds.extend(["--host", self.host])
+
+        p = subprocess.Popen(cmds, stdout=subprocess.DEVNULL)
+        with Listener((self.ip, self.port)) as listener:
+            conn = listener.accept()
+            p.communicate()
+            msg = json.loads(conn.recv())
+            if "Error" in msg:
+                self.fail(msg["Error"])
+            else:
+                # For the default settings and prompt, the expected results will be {PSNR: 23.258, SSIM: 0.852}
+                self.assertGreaterEqual(msg["PSNR"], 20)
+                self.assertGreaterEqual(msg["SSIM"], 0.8)
+
+
 class TestExampleScript(TestQNN):
     def required_envs(self, conditions=None) -> bool:
         conditions = [] if conditions is None else conditions
@@ -1967,7 +2439,7 @@ def test_vit(self):
             if "Error" in msg:
                 self.fail(msg["Error"])
             else:
-                self.assertGreaterEqual(msg["top_1"], 70)
+                self.assertGreaterEqual(msg["top_1"], 65)
                 self.assertGreaterEqual(msg["top_5"], 90)
 
     def test_edsr(self):
@@ -2051,7 +2523,7 @@ def test_stories_single_llama(self):
 
         cmds = [
             "python",
-            f"{self.executorch_root}/examples/qualcomm/llama2/llama.py",
+            f"{self.executorch_root}/examples/qualcomm/oss_scripts/llama2/llama.py",
             "--artifact",
             self.artifact_dir,
             "--build_folder",
@@ -2094,6 +2566,7 @@ def test_stories_single_llama(self):
                 model_out = msg["result"][0]
                 self.assertTrue(model_out.startswith(golden_start_with))
 
+    @unittest.skip("dynamic shape inputs appear in recent torch.export.export")
     def test_mobilebert(self):
         if not self.required_envs([self.pretrained_weight]):
             self.skipTest("missing required envs")
@@ -2134,13 +2607,8 @@ def test_mobilebert(self):
                 for k, v in cpu.items():
                     self.assertLessEqual(abs(v[0] - htp[k][0]), 2)
 
-    @unittest.skip("will be enabled after TODOs got resolved")
+    @unittest.skip("eagar mode fake quant works well, need further investigation")
     def test_ptq_mobilebert(self):
-        # TODO: 2 approaches to resolve accuracy issue
-        # 1. fallback embedding layers:
-        #    - skip annotation in quantizer (need PR to provide helper funciton)
-        #    - skip operators in partitioner (use existent "skip_node_op_set")
-        # 2. investigate different quantization configurations / mechanisms
         if not self.required_envs([self.pretrained_weight]):
             self.skipTest("missing required envs")
 
@@ -2157,6 +2625,8 @@ def test_ptq_mobilebert(self):
             self.model,
             "--pretrained_weight",
             self.pretrained_weight,
+            "--ptq",
+            "16a16w",
             "--ip",
             self.ip,
             "--port",
@@ -2260,6 +2730,12 @@ def setup_environment():
         help="Path to open source software model repository",
         type=str,
     )
+    parser.add_argument(
+        "-x",
+        "--enable_x86_64",
+        help="Enable unittest to be executed on x86_64 platform",
+        action="store_true",
+    )
 
     args, ns_args = parser.parse_known_args(namespace=unittest)
     TestQNN.host = args.host
@@ -2276,6 +2752,8 @@ def setup_environment():
     TestQNN.error_only = args.error_only
     TestQNN.oss_repo = args.oss_repo
     TestQNN.shared_buffer = args.shared_buffer
+    TestQNN.enable_x86_64 = args.enable_x86_64
+    TestQNN.dump_intermediate_outputs = args.dump_intermediate_outputs
     return sys.argv[:1] + ns_args
 
 
diff --git a/backends/qualcomm/tests/utils.py b/backends/qualcomm/tests/utils.py
index f31f07562b..7209b0a267 100644
--- a/backends/qualcomm/tests/utils.py
+++ b/backends/qualcomm/tests/utils.py
@@ -27,7 +27,12 @@
     QcomChipset,
 )
 from executorch.backends.qualcomm.utils.utils import capture_program
-from executorch.examples.qualcomm.scripts.utils import SimpleADB
+from executorch.devtools import generate_etrecord, Inspector
+from executorch.examples.qualcomm.utils import (
+    generate_inputs,
+    make_output_dir,
+    SimpleADB,
+)
 
 from executorch.exir.backend.backend_api import to_backend
 from executorch.exir.backend.compile_spec_schema import CompileSpec
@@ -35,9 +40,7 @@
 from executorch.exir.lowered_backend_module import LoweredBackendModule
 from executorch.exir.pass_base import ExportPass
 from executorch.exir.passes.memory_planning_pass import MemoryPlanningPass
-from executorch.exir.program._program import ExecutorchProgram
-from executorch.sdk import generate_etrecord
-from executorch.sdk.inspector import Inspector
+from executorch.exir.program import ExecutorchProgram, ExecutorchProgramManager
 from torch.ao.quantization.quantize_pt2e import convert_pt2e, prepare_pt2e
 
 
@@ -133,6 +136,7 @@ class TestQNN(unittest.TestCase):
     use_16a16w: str = "16a16w"
     use_16a4w: str = "16a4w"
     shared_buffer: bool = False
+    enable_x86_64: bool = False
 
     def _assert_outputs_equal(self, model_output, ref_output):
         self.assertTrue(len(ref_output) == len(model_output))
@@ -176,18 +180,21 @@ def _save_model_and_expected_output(
 
         return input_list, ref_outputs, pte_fname
 
-    def verify_output(
+    def verify_output(  # noqa: C901
         self,
         module: torch.nn.Module,
         sample_inputs: Tuple[torch.Tensor],
         executorch_prog: ExecutorchProgram | LoweredBackendModule,
         etrecord_path: str = "etrecord.bin",
         expected_profile_events: int = -1,
+        expected_intermediate_events: int = -1,
     ):
         with tempfile.TemporaryDirectory() as tmp_dir:
             buffer = (
                 executorch_prog.buffer
-                if isinstance(executorch_prog, ExecutorchProgram)
+                if isinstance(
+                    executorch_prog, (ExecutorchProgram, ExecutorchProgramManager)
+                )
                 else executorch_prog.buffer()
             )
             (
@@ -201,16 +208,17 @@ def verify_output(
                 tmp_dir,
             )
 
-            device_output_dir = f"{tmp_dir}/outputs"
-            device_outputs = []
+            output_dir = f"{tmp_dir}/outputs"
+            outputs = []
             etdump_path = f"{tmp_dir}/etdump.etdp"
+            debug_output_path = f"{tmp_dir}/debug_output.bin"
 
             def post_process():
-                for i, f in enumerate(sorted(os.listdir(device_output_dir))):
-                    filename = os.path.join(device_output_dir, f)
+                for i, f in enumerate(sorted(os.listdir(output_dir))):
+                    filename = os.path.join(output_dir, f)
                     output = np.fromfile(filename, dtype=ref_outputs[i].numpy().dtype)
                     output = torch.from_numpy(output).reshape(ref_outputs[i].shape)
-                    device_outputs.append(output)
+                    outputs.append(output)
 
             def validate_profile():
                 inspector = Inspector(etdump_path=etdump_path, etrecord=etrecord_path)
@@ -218,23 +226,99 @@ def validate_profile():
                     len(inspector.to_dataframe().index) == expected_profile_events
                 )
 
-            adb = SimpleADB(
-                qnn_sdk=os.getenv("QNN_SDK_ROOT"),
-                build_path=self.build_folder,
-                pte_path=pte_fname,
-                workspace="/data/local/tmp/qnn_executorch_test",
-                device_id=self.device,
-                host_id=self.host,
-                soc_model=self.model,
-                error_only=self.error_only,
-            )
-            adb.push(inputs=[sample_inputs], input_list=input_list)
-            adb.execute()
-            adb.pull(output_path=tmp_dir, callback=post_process)
-            self._assert_outputs_equal(device_outputs, ref_outputs)
+            def validate_intermediate_tensor():
+                inspector = Inspector(
+                    etdump_path=etdump_path, debug_buffer_path=debug_output_path
+                )
+                for event_block in inspector.event_blocks:
+                    if event_block.name == "Execute":
+                        self.assertTrue(
+                            len(event_block.events) == expected_intermediate_events
+                        )
+
+            if self.enable_x86_64:
+                generate_inputs(tmp_dir, "input_list.txt", [sample_inputs], input_list)
+                make_output_dir(output_dir)
+
+                target = "x86_64-linux-clang"
+                qnn_sdk = os.environ.get("QNN_SDK_ROOT", None)
+                assert qnn_sdk, "QNN_SDK_ROOT was not found in environment variable"
+
+                build_folder = self.build_folder
+                if os.path.isabs(self.build_folder):
+                    # obey user's opinion
+                    pass
+                else:
+                    # ok, assuming the user give a relative path to cwd
+                    build_folder = os.path.join(os.getcwd(), self.build_folder)
+
+                cmd = [
+                    # qnn_executor_runner
+                    f"{build_folder}/examples/qualcomm/executor_runner/qnn_executor_runner",
+                    "--model_path",
+                    f"{pte_fname}",
+                    "--input_list_path",
+                    f"{tmp_dir}/input_list.txt",
+                    "--output_folder_path",
+                    f"{output_dir}",
+                ]
+
+                env = dict(os.environ)
+                env["LD_LIBRARY_PATH"] = f"{qnn_sdk}/lib/{target}/:{build_folder}/lib"
+                proc = subprocess.run(
+                    cmd,
+                    stdout=subprocess.PIPE,
+                    stderr=subprocess.STDOUT,
+                    env=env,
+                    cwd=tmp_dir,
+                )
 
-            if expected_profile_events != -1:
-                adb.pull_etdump(etdump_path, callback=validate_profile)
+                self.assertEqual(
+                    proc.returncode,
+                    0,
+                    f"The process running qnn_executorch_runner return {proc.returncode}, "
+                    "STDOUT=\n"
+                    f"{proc.stdout.decode('utf-8')}",
+                )
+
+                # Verify the outputs
+                post_process()
+                self._assert_outputs_equal(outputs, ref_outputs)
+
+                # Verify the etdump
+                if expected_profile_events != -1:
+                    validate_profile()
+
+                if expected_intermediate_events != -1:
+                    validate_intermediate_tensor()
+            else:
+                adb = SimpleADB(
+                    qnn_sdk=os.getenv("QNN_SDK_ROOT"),
+                    build_path=self.build_folder,
+                    pte_path=pte_fname,
+                    workspace="/data/local/tmp/qnn_executorch_test",
+                    device_id=self.device,
+                    host_id=self.host,
+                    soc_model=self.model,
+                    error_only=self.error_only,
+                    dump_intermediate_outputs=(
+                        True if expected_intermediate_events != -1 else False
+                    ),
+                )
+                adb.push(inputs=[sample_inputs], input_list=input_list)
+                adb.execute()
+                adb.pull(output_path=tmp_dir, callback=post_process)
+                self._assert_outputs_equal(outputs, ref_outputs)
+
+                if expected_profile_events != -1:
+                    adb.pull_etdump(etdump_path, callback=validate_profile)
+
+                if expected_intermediate_events != -1:
+                    adb.pull_debug_output(
+                        etdump_path,
+                        debug_output_path,
+                        callback=validate_intermediate_tensor,
+                    )
 
     def lower_module_and_test_output(
         self,
@@ -242,6 +326,7 @@ def lower_module_and_test_output(
         sample_inputs: Tuple[torch.Tensor],
         expected_partitions: int = 1,
         expected_profile_events: int = -1,
+        expected_intermediate_events: int = -1,
         assert_output_equal: bool = True,
         skip_node_id_set: set = None,
         skip_node_op_set: set = None,
@@ -265,7 +350,6 @@ def lower_module_and_test_output(
                 # Therefore, won't want to pre-allocate
                 # by memory manager in runtime.
                 memory_planning_pass=MemoryPlanningPass(
-                    memory_planning_algo="greedy",
                     alloc_graph_input=not self.shared_buffer,
                     alloc_graph_output=not self.shared_buffer,
                 ),
@@ -286,11 +370,19 @@ def lower_module_and_test_output(
         etrecord_path = "etrecord.bin"
         if self.enable_profile:
             generate_etrecord(etrecord_path, edge_copy, exec_prog)
-
         # Check numerics
-        if assert_output_equal or expected_profile_events != -1:
+        if (
+            assert_output_equal
+            or expected_profile_events != -1
+            or expected_intermediate_events != -1
+        ):
             self.verify_output(
-                module, sample_inputs, exec_prog, etrecord_path, expected_profile_events
+                module,
+                sample_inputs,
+                exec_prog,
+                etrecord_path,
+                expected_profile_events,
+                expected_intermediate_events,
             )
 
     def get_qdq_module(
@@ -362,6 +454,8 @@ def _insert_clone(
                             (node,),
                         )
                         inserted_node.meta["val"] = node.meta["val"]
+                        if "quant_attrs" in node.meta:
+                            inserted_node.meta["quant_attrs"] = node.meta["quant_attrs"]
                         for user in users:
                             user.replace_input_with(node, inserted_node)
 
diff --git a/backends/qualcomm/utils/constants.py b/backends/qualcomm/utils/constants.py
index 58538eb91e..9875c9f5af 100644
--- a/backends/qualcomm/utils/constants.py
+++ b/backends/qualcomm/utils/constants.py
@@ -7,16 +7,23 @@
 # Qualcomm specific key
 
 # constants in backends/qualcomm/passes & backends/qualcomm/builders
+QCOM_AXIS = "axis"
 QCOM_AXIS_ORDER = "axis_order"
 QCOM_BITWIDTH = "bitwidth"
 QCOM_DATA = "data"
+QCOM_DTYPE = "dtype"
 QCOM_ENCODING = "encoding"
 QCOM_INSERTED_PERMUTE = "qnn_permute"
+QCOM_OFFSET = "offset"
 QCOM_QUANTIZED_IO = "q_tensor_io"
 QCOM_QUANT_ATTRS = "quant_attrs"
+QCOM_QUANT_MIN = "quant_min"
+QCOM_QUANT_MAX = "quant_max"
 QCOM_REQUANTIZE = "requantize"
+QCOM_SCALE = "scale"
 QCOM_SCALES = "scales"
 QCOM_SCALE_OFFSET = "scale_offset"
+QCOM_ZERO_POINT = "zero_point"
 QCOM_ZERO_POINTS = "zero_points"
 
 # constants in backends/qualcomm/tests
diff --git a/backends/qualcomm/utils/utils.py b/backends/qualcomm/utils/utils.py
index 85b965a146..a0c0abf729 100644
--- a/backends/qualcomm/utils/utils.py
+++ b/backends/qualcomm/utils/utils.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+import operator
+import warnings
 from collections import OrderedDict
 from typing import Callable, Dict, List, Tuple
 
@@ -38,7 +40,11 @@
 from executorch.backends.qualcomm.passes.recompose_pixel_unshuffle import (
     RecomposePixelUnshuffle,
 )
+from executorch.backends.qualcomm.passes.recompose_rms_norm import RecomposeRmsNorm
 from executorch.backends.qualcomm.passes.remove_redundancy import RemoveRedundancy
+from executorch.backends.qualcomm.passes.replace_index_put_input import (
+    ReplaceIndexPutInput,
+)
 from executorch.backends.qualcomm.serialization.qnn_compile_spec_schema import (
     _soc_info_table,
     QcomChipset,
@@ -56,6 +62,7 @@
     convert_to_option,
 )
 from executorch.backends.qualcomm.utils.constants import QCOM_QNN_COMPILE_SPEC
+
 from executorch.exir import ExirExportedProgram
 from executorch.exir.backend.compile_spec_schema import CompileSpec
 from executorch.exir.lowered_backend_module import LoweredBackendModule
@@ -63,9 +70,74 @@
 from torch._decomp import core_aten_decompositions as torch_core_aten_decompositions
 from torch.export.exported_program import ExportedProgram
 from torch.fx import passes
+from torch.fx.passes.operator_support import OperatorSupportBase
 from torch.library import Library
 
 
+class _AnnotationSkipper(OperatorSupportBase):
+    """
+    Class used to partition out unwanted graph nodes.
+    e.g. - nodes are prevented from quantization annotation
+         - nodes have been grouped together as a submodule
+
+    Attributes
+    ----------
+    fp_node_id_set : set
+        a set contains nodes' name to be left in fp precision
+    fp_node_op_set : set
+        a set contains nodes' target (aten dialect) to be left in fp precision
+    skip_annotated_submodule : bool
+        flag to skip annotated submodule or not
+
+    Methods
+    -------
+    should_delegate(n: torch.fx.Node)
+        identify the residual nodes haven't be lowered with fixed-precision
+    should_skip(n: torch.fx.Node)
+        identify the nodes should be kept out with fixed-precision or not
+    is_node_supported(_, node: torch.fx.Node)
+        overridden method for graph partitioning
+    """
+
+    def __init__(
+        self,
+        fp_node_id_set: set = None,
+        fp_node_op_set: set = None,
+        skip_annotated_submodule: bool = False,
+    ):
+        self.fp_node_id_set = fp_node_id_set
+        self.fp_node_op_set = fp_node_op_set
+        self.skip_annotated_submodule = skip_annotated_submodule
+
+    def should_delegate(self, n: torch.fx.Node):
+        return n.op == "call_function" and n.target != operator.getitem
+
+    def should_skip(self, n: torch.fx.Node):
+        return n.name in self.fp_node_id_set or n.target in self.fp_node_op_set
+
+    def is_node_supported(self, _, node: torch.fx.Node) -> bool:
+        if self.skip_annotated_submodule:
+            if node.op == "get_attr":
+                return all(self.should_delegate(user) for user in node.users)
+            return self.should_delegate(node)
+
+        if any(
+            [
+                node.op in ("placeholder", "output"),
+                self.should_skip(node),
+                # check if parameters belong to fallbacked operator
+                (
+                    node.op == "get_attr"
+                    and all(self.should_skip(user) for user in node.users)
+                ),
+            ]
+        ):
+            print(f"[QNN Quantizer Annotation]: {node.name} | Skipped")
+            return False
+
+        return True
+
+
 def qnn_capture_config():
     return exir.CaptureConfig(enable_aot=True)
 
@@ -121,6 +193,7 @@ def replace_linear(module: torch.nn.Module):
 
 def canonicalize_program(
     exported_program: ExportedProgram | List[LoweredBackendModule],
+    custom_buffer_size=None,
 ):
     # check if user specifies to use multi_contexts
     # this is a generic approach in case there exists multiple backends
@@ -140,7 +213,12 @@ def process_exported_program(prog):
             return max_sf_buf_size, module_map
 
         def process_lowered_module(module):
-            return len(module.processed_bytes), {
+            spill_fill_size = (
+                len(module.processed_bytes)
+                if custom_buffer_size is None
+                else custom_buffer_size
+            )
+            return spill_fill_size, {
                 module: convert_to_option(module.compile_specs[0].value)
             }
 
@@ -178,8 +256,10 @@ def get_decomp_table() -> Dict[torch._ops.OperatorBase, Callable]:
     # The below super ops are supported by QNN
     remove_decompositions = [
         torch.ops.aten.pixel_shuffle.default,
+        torch.ops.aten.pixel_unshuffle.default,
         torch.ops.aten.hardsigmoid.default,
         torch.ops.aten.hardswish.default,
+        torch.ops.aten._safe_softmax.default,
     ]
 
     for key in remove_decompositions:
@@ -195,6 +275,7 @@ def _transform(edge_program: ExportedProgram) -> None:
     graph_module = edge_program.graph_module
     RemoveRedundancy()(graph_module)
     RecomposePixelUnshuffle()(graph_module)
+    RecomposeRmsNorm()(graph_module)
     ConvertToLinear()(graph_module)
     ConvertPReLU(edge_program)(graph_module)
     ConvertBmmToMatmul()(graph_module)
@@ -205,6 +286,14 @@ def _transform(edge_program: ExportedProgram) -> None:
     AnnotateDecomposed(edge_program)(graph_module)
     FoldQDQ()(graph_module)
     LayoutTransform(edge_program)(graph_module)
+    ReplaceIndexPutInput(edge_program)(graph_module)
+
+    # Since QDQ nodes are stripped, update graph signature again to validate program
+    edge_program._graph_signature = _get_updated_graph_signature(
+        edge_program.graph_signature,
+        edge_program.graph_module,
+    )
+    edge_program._validate()
 
 
 def capture_program(
@@ -222,16 +311,291 @@ def capture_program(
     core_ep.transform(ConvertBinaryOpsWithScalar())
     edge_ep = core_ep.to_edge(qnn_edge_config())
     _transform(edge_ep.exported_program)
-    # Since QDQ nodes are stripped, update graph signature again to validate program
-    edge_ep.exported_program._graph_signature = _get_updated_graph_signature(
-        edge_ep.exported_program.graph_signature,
-        edge_ep.exported_program.graph_module,
-    )
-    edge_ep.exported_program._validate()
     return edge_ep
 
 
-def from_context_binary(ctx_path: str, op_name: str):
+def _partition_graph_into_submodules(gm, subgm_tag, subgm_cb, ptn):
+    from torch.fx.passes.utils.fuser_utils import (
+        erase_nodes,
+        fuse_as_graphmodule,
+        insert_subgm,
+        legalize_graph,
+        topo_sort,
+    )
+
+    partitions = ptn.propose_partitions()
+    # insert meta for each partition group
+    for i, partition in enumerate(partitions):
+        for node in partition.nodes:
+            node.meta[subgm_tag] = i
+
+    for i in range(len(partitions)):
+        # find nodes with same group id in current graph
+        node_list = [
+            node for node in gm.graph.nodes if node.meta.get(subgm_tag, "") == i
+        ]
+        # fuse group nodes into submodule
+        sorted_nodes = topo_sort(node_list)
+        submodule_name = f"{subgm_tag}_{i}"
+        subgm, orig_inputs, orig_outputs = fuse_as_graphmodule(
+            gm, sorted_nodes, submodule_name
+        )
+        # insert submodule & trim group nodes
+        gm = insert_subgm(
+            gm,
+            subgm_cb(subgm, submodule_name),
+            orig_inputs,
+            orig_outputs,
+        )
+        erase_nodes(gm, sorted_nodes)
+        legalize_graph(gm)
+
+    gm.recompile()
+    return gm
+
+
+def _canonicalize_graph_with_lowered_module(gm, subgm_tag, ptn):
+    from executorch.exir.backend.backend_api import to_backend
+
+    # return lowered program for user to debug
+    exported_progs = []
+    # partition each submodule which went through convert_pt2e
+    for node in gm.graph.nodes:
+        if node.op == "call_module" and subgm_tag in node.name:
+            # obtain sample inputs through meta
+            subgm_input = [
+                torch.ones(arg.meta["val"].shape, dtype=arg.meta["val"].dtype)
+                for arg in node.args
+            ]
+            # program meets QNN backend requirement
+            sub_prog = capture_program(gm.get_submodule(node.name), tuple(subgm_input))
+            # start lowering with given partitioner
+            exported_progs.append(to_backend(sub_prog.exported_program, ptn))
+            # replace submodule with lowered module
+            gm.set_submodule(
+                node.name,
+                exported_progs[-1].graph_module,
+            )
+            # if node has multiple outputs, getitems will be default generated
+            if all(n.target != operator.getitem for n in node.users):
+                with gm.graph.inserting_after(node):
+                    getitem_node = gm.graph.call_function(
+                        operator.getitem,
+                        (node, 0),
+                    )
+                    getitem_node.meta = node.meta
+                    node.replace_all_uses_with(
+                        replace_with=getitem_node,
+                        delete_user_cb=lambda user: user.target != operator.getitem,
+                    )
+
+    gm.recompile()
+    return gm, exported_progs
+
+
+def skip_annotation(
+    nn_module: torch.nn.Module,
+    quantizer,
+    partitioner,
+    sample_input: Tuple[torch.Tensor, ...],
+    calibration_cb: Callable[[torch.fx.GraphModule], None],
+    fp_node_id_set: set = None,
+    fp_node_op_set: set = None,
+    fallback_to_cpu: bool = True,
+):
+    r"""
+    Exclude speific operators from quantizer annotation.
+    Skipped operators will defaultly stay in CPU, set 'fallback_to_cpu'
+    to False for trying to delegate them with FP16 precision.
+
+    e.g.: consider following graph:
+    bias_1 weight_1 input_1   bias_2 weight_2 input_2
+      | (placeholder) |         | (placeholder) |
+       \      |      /           \      |      /
+        \     |     /             \     |     /
+         \    |    /               \    |    /
+           conv2d_1                 conv2d_2
+           (torch.ops.aten.conv2d.default)
+               \                       /
+                \                     /
+                 \_______     _______/
+                         add_1
+             (torch.ops.aten.add.default)
+                           |
+                         output
+
+    If user wants to skip convolution op by names with
+    'skip_node_id_set' = {"conv2d_1"}
+    "bias_1 / weight_1 / input_1 / input_2 / conv2d_1"
+    will be partitioned out and not annotated / lowered with QNN.
+
+    [Generated graph]
+    bias_1 weight_1 input_1   input_2
+      | (placeholder) |          |
+       \      |      /           |
+        \     |     /            |
+         \    |    /             |
+           conv2d_1              |
+              \                 /
+               \               /
+                \             /
+               lowered_module_1
+            (QNN fixed precision)
+                      |
+                    output
+
+    If user wants to skip convolution op by target with
+    'skip_node_op_set' = {torch.ops.aten.conv2d.default}
+    "bias_1 / weight_1 / input_1 / conv2d_1,
+     bias_2 / weight_2 / input_2 / conv2d_2"
+    will be partitioned out and not annotated / lowered with QNN.
+
+    [Generated graph]
+    bias_1 weight_1 input_1   bias_2 weight_2 input_2
+      | (placeholder) |         | (placeholder) |
+       \      |      /           \      |      /
+        \     |     /             \     |     /
+         \    |    /               \    |    /
+           conv2d_1                 conv2d_2
+           (torch.ops.aten.conv2d.default)
+               \                       /
+                \                     /
+                 \__               __/
+                    lowered_module_1
+                 (QNN fixed precision)
+                           |
+                         output
+
+    If user wants to delegate the skipped conv2d from above graph
+    with 'fallback_to_cpu' = False:
+
+    [Generated graph]
+       input_1         input_2
+    (placeholder)   (placeholder)
+          |               |
+          \               /
+          lowered_module_2
+         (QNN fp16 precision)
+                  |
+                  |
+          lowered_module_1
+         (QNN fixed precision)
+                  |
+                output
+
+    Args:
+        nn_module (torch.nn.Module): The module to be lowered.
+        quantizer (QnnQuantizer): Instance of QnnQuantizer.
+        partitioner (QnnPartitioner): Instance of QnnPartitioner.
+        sample_input ((torch.Tensor, ...)): Sample input tensors for graph exporting.
+        calibration_cb (callable): Callback function for user-defined calibration.
+        fp_node_id_set ({str, ...}): Set of operator names to be left in fp precision.
+        fp_node_op_set ({torch.ops.aten.xxx, ...}): Set of operator targets to be left in fp precision.
+        fallback_to_cpu (bool): Whether to lower skipped nodes to fp16 or not.
+
+    Returns:
+        exported_programs: List of programs lowered to QnnBackend (quantized graphs only).
+    """
+    from executorch.backends.qualcomm.serialization.qnn_compile_spec_schema import (
+        QnnExecuTorchHtpPrecision,
+    )
+    from executorch.backends.qualcomm.serialization.qnn_compile_spec_serialize import (
+        convert_to_option,
+    )
+    from torch.ao.quantization.quantize_pt2e import convert_pt2e, prepare_pt2e
+    from torch.fx.passes.infra.partitioner import CapabilityBasedPartitioner
+
+    def prepare_subgm(subgm, subgm_name):
+        # prepare current submodule for quantization annotation
+        subgm_prepared = prepare_pt2e(subgm, quantizer)
+        # overwrite this attribute or name will be set to "GraphModule"
+        # we could not identify each submodule if action is not performed
+        subgm_prepared.__class__.__name__ = subgm_name
+        return subgm_prepared
+
+    fp_node_id_set = fp_node_id_set if fp_node_id_set is not None else set()
+    fp_node_op_set = fp_node_op_set if fp_node_op_set is not None else set()
+    graph_module = torch.export.export(nn_module, sample_input).module()
+    # define node support type
+    capability_partitioner = CapabilityBasedPartitioner(
+        graph_module,
+        _AnnotationSkipper(fp_node_id_set, fp_node_op_set),
+        allows_single_node_partition=True,
+    )
+    subgm_tag = "annotated_group"
+    graph_module = _partition_graph_into_submodules(
+        gm=graph_module,
+        subgm_tag=subgm_tag,
+        subgm_cb=prepare_subgm,
+        ptn=capability_partitioner,
+    )
+    # perform calibration
+    calibration_cb(graph_module)
+    # convert sub modules which went through prepare_pt2e
+    for node in graph_module.graph.nodes:
+        if node.op == "call_module":
+            graph_module.set_submodule(
+                node.name, convert_pt2e(graph_module.get_submodule(node.name))
+            )
+    # canonicalize graph for lowering again
+    graph_module, exported_progs = _canonicalize_graph_with_lowered_module(
+        gm=graph_module,
+        subgm_tag=subgm_tag,
+        ptn=partitioner,
+    )
+
+    if not fallback_to_cpu:
+        try:
+            from executorch.exir.backend.partitioner import DelegationSpec
+
+            # change HTP compiler spec for hardware to enable fp16
+            qnn_option = generate_qnn_executorch_option(
+                partitioner.compiler_specs_snapshot
+            )
+            compile_option = convert_to_option(qnn_option)
+            htp_options = compile_option.backend_options.htp_options
+            htp_options.precision = QnnExecuTorchHtpPrecision.kHtpFp16
+            partitioner.delegation_spec = DelegationSpec(
+                "QnnBackend",
+                [
+                    CompileSpec(
+                        QCOM_QNN_COMPILE_SPEC, convert_to_flatbuffer(compile_option)
+                    )
+                ],
+            )
+        except:
+            print(
+                "Failed to change HTP compiler spec with 'use_fp16' as True,"
+                " skipped operators will fallback to cpu,"
+            )
+            return graph_module, exported_progs
+
+        # try lowering skipped operator into fp16
+        capability_partitioner = CapabilityBasedPartitioner(
+            graph_module,
+            _AnnotationSkipper(skip_annotated_submodule=True),
+            allows_single_node_partition=True,
+        )
+        subgm_tag = "skipped_group"
+        graph_module = _partition_graph_into_submodules(
+            gm=graph_module,
+            subgm_tag=subgm_tag,
+            subgm_cb=lambda subgm, _: subgm,
+            ptn=capability_partitioner,
+        )
+        graph_module, exported_progs_fp = _canonicalize_graph_with_lowered_module(
+            gm=graph_module,
+            subgm_tag=subgm_tag,
+            ptn=partitioner,
+        )
+        exported_progs.extend(exported_progs_fp)
+
+    return graph_module, exported_progs
+
+
+def from_context_binary(
+    ctx_path: str, op_name: str, soc_model: QcomChipset = QcomChipset.SM8650
+):
     def implement_op(custom_op, op_name, outputs):
         @torch.library.impl(
             custom_op, str(op_name), dispatch_key="CompositeExplicitAutograd"
@@ -282,7 +646,7 @@ def build_tensor(tensors, dtype_map):
     # dummy compiler spec would be fine, since we're not compiling
     backend_options = generate_htp_compiler_spec(use_fp16=False)
     compiler_specs = generate_qnn_executorch_compiler_spec(
-        soc_model=QcomChipset.SM8650,
+        soc_model=soc_model,
         backend_options=backend_options,
         is_from_context_binary=True,
     )
@@ -371,7 +735,7 @@ def generate_qnn_executorch_compiler_spec(
     debug: bool = False,
     saver: bool = False,
     online_prepare: bool = False,
-    tensor_dump_output_path: str = "",
+    dump_intermediate_outputs: bool = False,
     profile: bool = False,
     shared_buffer: bool = False,
     is_from_context_binary: bool = False,
@@ -393,10 +757,8 @@ def generate_qnn_executorch_compiler_spec(
         saver: Instead of compiling the model, run QNN Saver. Please check
             documents of Qualcomm AI Engine Direct SDK. This feature is usually
             for debugging purpose.
-        tensor_dump_output_path: If a path is given, Delegate would write
-            outputs of each OP there in runtime. In ALL cases,
-            we don't recommend to set this option. This option exist just
-            for debugging some accuracy issues.
+        dump_intermediate_outputs: If tensor dump is enabled, all intermediate tensors output will be dumped.
+            This option exists for debugging accuracy issues
         profile: Enable profile the performance of per operator.
             Note that for now only support kProfileDetailed to
             profile the performance of each operator with cycle unit.
@@ -414,6 +776,13 @@ def generate_qnn_executorch_compiler_spec(
     if soc_model not in _supported_soc_models:
         raise ValueError(f"unknown SoC model for QNN: {soc_model}")
 
+    if profile and dump_intermediate_outputs:
+        warnings.warn(
+            "It is not recommended to turn on both profiling and dump_intermediate_outputs the same time"
+            ", because dump_intermediate_outputs will cause performance drop.",
+            stacklevel=1,
+        )
+
     qnn_executorch_options = QnnExecuTorchOptions(
         _soc_info_table[soc_model], backend_options
     )
@@ -424,12 +793,11 @@ def generate_qnn_executorch_compiler_spec(
         else QnnExecuTorchLogLevel.kLogLevelWarn
     )
 
+    qnn_executorch_options.dump_intermediate_outputs = dump_intermediate_outputs
+
     if saver:
         qnn_executorch_options.library_path = "libQnnSaver.so"
 
-    if len(tensor_dump_output_path.strip()) != 0:
-        qnn_executorch_options.tensor_dump_output_path = tensor_dump_output_path
-
     if profile:
         qnn_executorch_options.profile_level = (
             QnnExecuTorchProfileLevel.kProfileDetailed
diff --git a/backends/transforms/TARGETS b/backends/transforms/TARGETS
index 88de8a84a6..df50e45f09 100644
--- a/backends/transforms/TARGETS
+++ b/backends/transforms/TARGETS
@@ -73,6 +73,35 @@ runtime.python_library(
     ],
 )
 
+runtime.python_library(
+    name = "fuse_dequant_linear",
+    srcs = ["fuse_dequant_linear.py"],
+    visibility = [
+        "//executorch/backends/...",
+    ],
+    deps = [
+        ":utils",
+        "//caffe2:torch",
+        "//executorch/exir:pass_base",
+        "//executorch/exir:sym_util",
+        "//executorch/exir/dialects:lib",
+    ],
+)
+
+runtime.python_library(
+    name = "view_copy_to_squeeze_unsqueeze",
+    srcs = ["view_copy_to_squeeze_unsqueeze.py"],
+    visibility = [
+        "//executorch/backends/...",
+    ],
+    deps = [
+        ":utils",
+        "//caffe2:torch",
+        "//executorch/exir:pass_base",
+        "//executorch/exir/dialects:lib",
+    ],
+)
+
 runtime.python_library(
     name = "fuse_view_copy",
     srcs = ["fuse_view_copy.py"],
diff --git a/backends/transforms/addmm_mm_to_linear.py b/backends/transforms/addmm_mm_to_linear.py
index 7855de617b..358cbb7ac1 100644
--- a/backends/transforms/addmm_mm_to_linear.py
+++ b/backends/transforms/addmm_mm_to_linear.py
@@ -130,7 +130,7 @@ def replace_addmm_mm_with_linear(graph: torch.fx.Graph) -> torch.fx.Graph:
                         "call_function", ops.aten.linear.default, args
                     )
                     node.replace_all_uses_with(linear_node)
-                    output_val = linear_node.target(
+                    output_val = linear_node.target(  # pyre-fixme[29]
                         args[0].meta["val"], args[1].meta["val"], args[2].meta["val"]
                     )
                 else:
@@ -147,7 +147,7 @@ def replace_addmm_mm_with_linear(graph: torch.fx.Graph) -> torch.fx.Graph:
                         "call_function", ops.aten.linear.default, args
                     )
                     node.replace_all_uses_with(linear_node)
-                    output_val = linear_node.target(
+                    output_val = linear_node.target(  # pyre-fixme[29]
                         args[0].meta["val"], args[1].meta["val"]
                     )
                 linear_node.meta = node.meta
diff --git a/backends/transforms/decompose_sdpa.py b/backends/transforms/decompose_sdpa.py
index 6dbbf564f5..329dab96df 100644
--- a/backends/transforms/decompose_sdpa.py
+++ b/backends/transforms/decompose_sdpa.py
@@ -34,7 +34,7 @@ def call(
                 # refer to pytorch/test/test_decomp.py
                 decomposed_module = make_fx(
                     node.target,
-                    decomposition_table=get_decompositions(
+                    decomposition_table=get_decompositions(  # pyre-fixme[6]
                         [
                             torch.ops.aten._scaled_dot_product_flash_attention_for_cpu.default,
                         ]
diff --git a/backends/transforms/fuse_dequant_linear.py b/backends/transforms/fuse_dequant_linear.py
new file mode 100644
index 0000000000..235715ac74
--- /dev/null
+++ b/backends/transforms/fuse_dequant_linear.py
@@ -0,0 +1,77 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-strict
+
+import torch
+
+from executorch.exir.dialects._ops import ops as exir_ops
+from executorch.exir.pass_base import ExportPass, PassResult
+
+
+class FuseDequantLinearPass(ExportPass):
+    """
+    Fuses weight dequantize_per_channel nodes with linear nodes into
+    weight_int8pack_mm nodes, for 8-bit weight-only quantization.
+
+    Replaces dq(weight) -> linear(activation, dq)       with weight_int8pack_mm
+    Replaces dq(weight) -> linear(activation, dq, bias) with weight_int8pack_mm -> add
+    """
+
+    def fuse_dequant_with_linear(
+        self,
+        graph_module: torch.fx.GraphModule,
+        dequant_node: torch.fx.Node,
+        linear_node: torch.fx.Node,
+    ) -> None:
+        activations = linear_node.args[0]
+        bias = None
+        if len(linear_node.args) > 2:
+            bias = linear_node.args[2]
+        quant_weight = dequant_node.args[0]
+        scale = dequant_node.args[1]
+
+        with graph_module.graph.inserting_before(linear_node):
+            weight_int8pack_mm_node = graph_module.graph.create_node(
+                "call_function",
+                exir_ops.edge.aten._weight_int8pack_mm.default,
+                (activations, quant_weight, scale),
+            )
+            if bias:
+                add_node = graph_module.graph.create_node(
+                    "call_function",
+                    exir_ops.edge.aten.add.Tensor,
+                    (weight_int8pack_mm_node, bias),
+                )
+                linear_node.replace_all_uses_with(add_node)
+            else:
+                linear_node.replace_all_uses_with(weight_int8pack_mm_node)
+            graph_module.graph.erase_node(linear_node)
+            graph_module.graph.erase_node(dequant_node)
+
+    def is_node_target(
+        self, node: torch.fx.Node, target: torch._ops.OperatorBase
+    ) -> bool:
+        return node.op == "call_function" and node.target == target
+
+    def call(self, graph_module: torch.fx.GraphModule) -> PassResult:
+        for node in graph_module.graph.nodes:
+            if self.is_node_target(node, exir_ops.edge.aten.linear.default):
+                weight_node = node.args[1]
+                if self.is_node_target(
+                    weight_node,
+                    exir_ops.edge.quantized_decomposed.dequantize_per_channel.default,
+                ):
+                    # only fuse if weight tensor is int8 packed
+                    quant_weight = weight_node.args[0]
+                    if quant_weight.meta["val"].dtype != torch.int8:
+                        continue
+                    self.fuse_dequant_with_linear(graph_module, weight_node, node)
+
+        graph_module.recompile()
+        graph_module = super().call(graph_module).graph_module
+
+        return PassResult(graph_module, True)
diff --git a/backends/transforms/view_copy_to_squeeze_unsqueeze.py b/backends/transforms/view_copy_to_squeeze_unsqueeze.py
new file mode 100644
index 0000000000..094ec6a334
--- /dev/null
+++ b/backends/transforms/view_copy_to_squeeze_unsqueeze.py
@@ -0,0 +1,128 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-strict
+
+from typing import List, Optional, Union
+
+import torch
+
+from executorch.exir.dialects._ops import ops as exir_ops
+from executorch.exir.pass_base import ExportPass, PassResult
+
+
+class ViewCopyToSqueezeUnsqueezePass(ExportPass):
+    """
+    Replaces view_copy nodes with squeeze_copy.dims nodes if the view node reduces dims of size 1.
+    Replaces view_copy nodes with unsqueeze_copy.default nodes if the view node adds a dim of size 1.
+    """
+
+    def __init__(self) -> None:
+        super().__init__()
+        self.view_copy_op: torch._ops.OpOverload = exir_ops.edge.aten.view_copy.default
+        self.squeeze_op: torch._ops.OpOverload = exir_ops.edge.aten.squeeze_copy.dims
+        self.unsqueeze_op: torch._ops.OpOverload = (
+            exir_ops.edge.aten.unsqueeze_copy.default
+        )
+
+    def is_node_target(
+        self, node: torch.fx.Node, target: torch._ops.OperatorBase
+    ) -> bool:
+        return node.op == "call_function" and node.target == target
+
+    def find_squeeze_dims(
+        self,
+        input_shape: List[int],
+        view_shape: List[int],
+    ) -> Optional[List[int]]:
+        # view_shape should be a subset of input_shape
+        if len(input_shape) <= len(view_shape):
+            return None
+
+        # check that all dims are equal except the removed dims
+        i = 0
+        j = 0
+        idx = []
+        while i < len(input_shape):
+            if input_shape[i] != view_shape[j]:
+                if input_shape[i] == 1:
+                    idx.append(i)
+                    j -= 1
+                    # continue to check remaining dims are equal
+                else:
+                    return None
+            i += 1
+            j += 1
+        return idx
+
+    def find_unsqueeze_dim(
+        self,
+        input_shape: List[int],
+        view_shape: List[int],
+    ) -> Optional[int]:
+        # unsqueeze should increase the length of input_shape by 1
+        if len(view_shape) - len(input_shape) != 1:
+            return None
+
+        # check that all dims are equal except the added dim
+        i = 0
+        j = 0
+        idx = -1
+        while j < len(view_shape):
+            if input_shape[i] != view_shape[j]:
+                if view_shape[j] == 1:
+                    idx = j
+                    i -= 1
+                    # continue to check remaining dims are equal
+                else:
+                    return None
+            i += 1
+            j += 1
+        return idx
+
+    def replace_view_copy_node(
+        self,
+        graph_module: torch.fx.GraphModule,
+        view_node: torch.fx.Node,
+        op: torch._ops.OpOverload,
+        arg: Union[List[int], int],
+    ) -> None:
+        with graph_module.graph.inserting_before(view_node):
+            new_node = graph_module.graph.create_node(
+                "call_function",
+                op,
+                (view_node.args[0], arg),
+            )
+            new_node.meta = view_node.meta
+            view_node.replace_all_uses_with(new_node)
+            graph_module.graph.erase_node(view_node)
+
+    def call(self, graph_module: torch.fx.GraphModule) -> PassResult:
+        modified = False
+        for node in graph_module.graph.nodes:
+            if self.is_node_target(node, self.view_copy_op):
+                input_node = node.args[0]
+                input_shape = input_node.meta["val"].shape
+                view_shape = node.args[1]
+                squeeze_dims = self.find_squeeze_dims(input_shape, view_shape)
+                if squeeze_dims:
+                    self.replace_view_copy_node(
+                        graph_module, node, self.squeeze_op, squeeze_dims
+                    )
+                    modified = True
+                    continue
+                unsqueeze_dim = self.find_unsqueeze_dim(input_shape, view_shape)
+                if unsqueeze_dim:
+                    self.replace_view_copy_node(
+                        graph_module, node, self.unsqueeze_op, unsqueeze_dim
+                    )
+                    modified = True
+                    continue
+
+        if modified:
+            graph_module.recompile()
+            graph_module = super().call(graph_module).graph_module
+        return PassResult(graph_module, modified)
diff --git a/backends/vulkan/cmake/ShaderLibrary.cmake b/backends/vulkan/cmake/ShaderLibrary.cmake
index 49dc27056a..b44736d20d 100644
--- a/backends/vulkan/cmake/ShaderLibrary.cmake
+++ b/backends/vulkan/cmake/ShaderLibrary.cmake
@@ -50,8 +50,8 @@ function(gen_vulkan_shader_lib_cpp shaders_path)
   execute_process(
     COMMAND
       "${PYTHON_EXECUTABLE}"
-      ${EXECUTORCH_ROOT}/backends/vulkan/runtime/gen_vulkan_spv.py
-      --glsl-path ${shaders_path} --output-path ${VULKAN_SHADERGEN_OUT_PATH}
+      ${EXECUTORCH_ROOT}/backends/vulkan/runtime/gen_vulkan_spv.py --glsl-path
+      ${shaders_path} --output-path ${VULKAN_SHADERGEN_OUT_PATH}
       --glslc-path=${GLSLC_PATH} --tmp-dir-path=${VULKAN_SHADERGEN_OUT_PATH}
       --env ${VULKAN_GEN_ARG_ENV}
     RESULT_VARIABLE error_code
diff --git a/backends/vulkan/docs/android_demo.md b/backends/vulkan/docs/android_demo.md
index aaff7a7a72..8570859ed3 100644
--- a/backends/vulkan/docs/android_demo.md
+++ b/backends/vulkan/docs/android_demo.md
@@ -94,8 +94,9 @@ binary using the Android NDK toolchain.
   cmake . -DCMAKE_INSTALL_PREFIX=cmake-android-out \
     -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake \
     -DANDROID_ABI=$ANDROID_ABI \
-    -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
     -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
     -DEXECUTORCH_BUILD_VULKAN=ON \
     -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
     -DPYTHON_EXECUTABLE=python \
diff --git a/backends/vulkan/partitioner/supported_ops.py b/backends/vulkan/partitioner/supported_ops.py
index 26436a0eb9..ca7ce72cae 100644
--- a/backends/vulkan/partitioner/supported_ops.py
+++ b/backends/vulkan/partitioner/supported_ops.py
@@ -8,6 +8,11 @@
 
 import operator
 
+from executorch.backends.vulkan.passes.custom_ops_defs import (  # noqa
+    conv_with_clamp_op,
+    grid_priors_op,
+)
+
 from executorch.exir.dialects._ops import ops as exir_ops
 
 
@@ -82,6 +87,7 @@ def __contains__(self, op):
 
 CONVOLUTION_OPS = [
     exir_ops.edge.aten.convolution.default,
+    exir_ops.edge.et_vk.conv_with_clamp.default,
 ]
 
 REDUCTION_OPS = [
@@ -129,6 +135,7 @@ def __contains__(self, op):
     exir_ops.edge.aten.upsample_nearest2d.vec,
     exir_ops.edge.aten.zeros.default,
     exir_ops.edge.aten.zeros_like.default,
+    exir_ops.edge.et_vk.grid_priors.default,
 ]
 
 
diff --git a/backends/vulkan/partitioner/vulkan_partitioner.py b/backends/vulkan/partitioner/vulkan_partitioner.py
index 4d24877b63..103297bc75 100644
--- a/backends/vulkan/partitioner/vulkan_partitioner.py
+++ b/backends/vulkan/partitioner/vulkan_partitioner.py
@@ -38,6 +38,9 @@
     torch.ops.aten.upsample_nearest2d.vec,
 ]
 
+logger: logging.Logger = logging.getLogger("")
+logger.setLevel(logging.INFO)
+
 
 class VulkanSupportedOperators(OperatorSupportBase):
     _ops: OpList = enumerate_supported_ops()
@@ -110,7 +113,7 @@ def is_node_supported(
     ) -> bool:
         r = self._is_node_supported(submodules, node)
         if not r and node.op == "call_function":
-            logging.info(f"Skipping node in Vulkan partitioning: {node.format_node()}")
+            logger.info(f"Skipping node in Vulkan partitioning: {node.format_node()}")
         return r
 
     def _is_node_supported(
@@ -179,9 +182,9 @@ def partition(self, exported_program: ExportedProgram) -> PartitionResult:
 
         pl = len(partition_list)
         if pl == 0:
-            logging.warning("No Vulkan subgraphs can be partitioned!")
+            logger.warning("No Vulkan subgraphs can be partitioned!")
         else:
-            logging.info(f"Found {pl} Vulkan subgraphs to be partitioned.")
+            logger.info(f"Found {pl} Vulkan subgraphs to be partitioned.")
 
         tag_constant_data(exported_program)
 
diff --git a/backends/vulkan/passes/custom_ops_defs.py b/backends/vulkan/passes/custom_ops_defs.py
index 67e7db828a..fd586b665a 100644
--- a/backends/vulkan/passes/custom_ops_defs.py
+++ b/backends/vulkan/passes/custom_ops_defs.py
@@ -48,15 +48,55 @@ def conv_with_clamp_impl(
 conv_with_clamp_op = getattr(getattr(torch.ops, namespace), name)
 
 
+def conv_with_clamp_out_impl(
+    input,
+    weight,
+    bias=None,
+    stride=1,
+    padding=0,
+    dilation=1,
+    transposed=False,
+    output_padding=0,
+    groups=1,
+    output_min=-float("inf"),
+    output_max=float("inf"),
+    out=None,
+):
+    out = conv_with_clamp_impl(
+        input,
+        weight,
+        bias,
+        stride,
+        padding,
+        dilation,
+        transposed,
+        output_padding,
+        groups,
+        output_min,
+        output_max,
+    )
+    return out
+
+
+name = "conv_with_clamp.out"
+lib.define(
+    f"{name}(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups, Scalar? output_min, Scalar? output_max, *, Tensor(a!) out) -> Tensor(a!)"
+)
+lib.impl(name, conv_with_clamp_out_impl, "CompositeExplicitAutograd")
+
+
+# The dimension of x should be larger than 1
 def grid_priors_impl(
-    height,
-    width,
+    x,
     stride,
     offset,
 ):
-    shift_x = (torch.arange(0, width) + offset) * stride
-    shift_y = (torch.arange(0, height) + offset) * stride
-    shift_xx, shift_yy = torch.meshgrid(shift_y, shift_x)
+    height, width = x.shape[-2:]
+    # Need to specify device of torch.arange to avoid executorch exporting error
+    shift_x = (torch.arange(0, width, device=x.device) + offset) * stride
+    shift_y = (torch.arange(0, height, device=x.device) + offset) * stride
+    # Need to specify indexing parameter ('ij' is the default value) to avoid executorch exporting error
+    shift_xx, shift_yy = torch.meshgrid([shift_y, shift_x], indexing="ij")
     shift_xx = shift_xx.reshape(-1)
     shift_yy = shift_yy.reshape(-1)
     shifts = torch.stack((shift_yy, shift_xx), dim=-1)
@@ -64,6 +104,24 @@ def grid_priors_impl(
 
 
 name = "grid_priors"
-lib.define(f"{name}(int height, int width, int stride, float offset) -> Tensor")
-lib.impl(name, grid_priors_impl)
+lib.define(f"{name}(Tensor self, int stride, float offset) -> Tensor")
+lib.impl(name, grid_priors_impl, "CompositeExplicitAutograd")
 grid_priors_op = getattr(getattr(torch.ops, namespace), name)
+
+
+# When lowering to executorch, ops are converted from default to out variant. Hence, custom ops define both variants.
+def grid_priors_out_impl(
+    x,
+    stride,
+    offset,
+    out,
+):
+    out = grid_priors_impl(x, stride, offset)
+    return out
+
+
+name = "grid_priors_out"
+lib.define(
+    f"{name}(Tensor self, int stride, float offset, *, Tensor(a!) out) -> Tensor(a!)"
+)
+lib.impl(name, grid_priors_out_impl, "CompositeExplicitAutograd")
diff --git a/backends/vulkan/passes/test_custom_ops.py b/backends/vulkan/passes/test_custom_ops.py
index a1a3a40f67..c68dd6d679 100644
--- a/backends/vulkan/passes/test_custom_ops.py
+++ b/backends/vulkan/passes/test_custom_ops.py
@@ -97,14 +97,15 @@ class GridPriors(torch.nn.Module):
             def __init__(self):
                 super().__init__()
 
-            def forward(self, height, width, stride, offset):
-                return torch.ops.et_vk.grid_priors(height, width, stride, offset)
+            def forward(self, x, stride, offset):
+                return torch.ops.et_vk.grid_priors(x, stride, offset)
 
         model = GridPriors()
-        sample_input = (2, 3, 4, 0.5)
+        sample_input = (torch.rand(2, 5, 2, 3), 4, 0.5)
         custom_out = model(*sample_input)
 
-        def calculate_expected_output(height, width, stride, offset):
+        def calculate_expected_output(x, stride, offset):
+            height, width = x.shape[-2:]
             shift_x = (torch.arange(0, width) + offset) * stride
             shift_y = (torch.arange(0, height) + offset) * stride
             shift_xx, shift_yy = torch.meshgrid(shift_y, shift_x)
diff --git a/backends/vulkan/quantizer/TARGETS b/backends/vulkan/quantizer/TARGETS
new file mode 100644
index 0000000000..7cc5b79eb2
--- /dev/null
+++ b/backends/vulkan/quantizer/TARGETS
@@ -0,0 +1,13 @@
+load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
+
+oncall("executorch")
+
+python_library(
+    name = "vulkan_quantizer",
+    srcs = [
+        "vulkan_quantizer.py",
+    ],
+    deps = [
+        "//caffe2:torch",
+    ],
+)
diff --git a/backends/vulkan/quantizer/vulkan_quantizer.py b/backends/vulkan/quantizer/vulkan_quantizer.py
new file mode 100644
index 0000000000..451f18977e
--- /dev/null
+++ b/backends/vulkan/quantizer/vulkan_quantizer.py
@@ -0,0 +1,120 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-strict
+
+from __future__ import annotations
+
+import functools
+from typing import Any, Callable, Dict, Optional
+
+import torch
+from torch.ao.quantization.observer import MinMaxObserver, PerChannelMinMaxObserver
+from torch.ao.quantization.qconfig import _ObserverOrFakeQuantizeConstructor
+from torch.ao.quantization.quantizer import QuantizationSpec, Quantizer
+from torch.ao.quantization.quantizer.xnnpack_quantizer_utils import (
+    _convert_scalars_to_attrs,
+    OP_TO_ANNOTATOR,
+    propagate_annotation,
+    QuantizationConfig,
+)
+from torch.fx import Node
+
+
+__all__ = [
+    "VulkanQuantizer",
+    "get_weight_quantization_config",
+]
+
+
+@functools.lru_cache
+def get_weight_quantization_config(
+    is_per_channel: bool = True,
+    weight_qmin: int = -128,
+    weight_qmax: int = 127,
+) -> QuantizationConfig:
+
+    weight_qscheme = (
+        torch.per_channel_symmetric if is_per_channel else torch.per_tensor_symmetric
+    )
+    weight_observer_or_fake_quant_ctr: _ObserverOrFakeQuantizeConstructor = (
+        PerChannelMinMaxObserver if is_per_channel else MinMaxObserver
+    )
+    extra_args: Dict[str, Any] = {"eps": 2**-12}
+
+    weight_quantization_spec = QuantizationSpec(
+        dtype=torch.int8,
+        quant_min=weight_qmin,
+        quant_max=weight_qmax,
+        qscheme=weight_qscheme,
+        ch_axis=0,
+        is_dynamic=False,
+        observer_or_fake_quant_ctr=weight_observer_or_fake_quant_ctr.with_args(
+            **extra_args
+        ),
+    )
+
+    quantization_config = QuantizationConfig(
+        input_activation=None,
+        output_activation=None,
+        weight=weight_quantization_spec,
+        bias=None,
+        is_qat=False,
+    )
+    return quantization_config
+
+
+_SUPPORTED_OPS = [
+    "linear",
+]
+
+
+class VulkanQuantizer(Quantizer):
+
+    def __init__(self) -> None:
+        super().__init__()
+        self.global_config: Optional[QuantizationConfig] = None
+
+    def set_global(self, quantization_config: QuantizationConfig) -> VulkanQuantizer:
+        self.global_config = quantization_config
+        return self
+
+    def transform_for_annotation(
+        self, model: torch.fx.GraphModule
+    ) -> torch.fx.GraphModule:
+        """Transforms scalar values to tensor attributes"""
+        return _convert_scalars_to_attrs(model)
+
+    def annotate(self, model: torch.fx.GraphModule) -> torch.fx.GraphModule:
+        # currently only support static quant on Vulkan
+        model = self._annotate_for_static_quantization_config(model)
+        propagate_annotation(model)
+        return model
+
+    def _annotate_all_static_patterns(
+        self,
+        model: torch.fx.GraphModule,
+        quantization_config: Optional[QuantizationConfig],
+        filter_fn: Optional[Callable[[Node], bool]] = None,
+    ) -> torch.fx.GraphModule:
+        if quantization_config is None:
+            return model
+
+        for op in _SUPPORTED_OPS:
+            OP_TO_ANNOTATOR[op](model, quantization_config, filter_fn)
+        return model
+
+    def _annotate_for_static_quantization_config(
+        self, model: torch.fx.GraphModule
+    ) -> torch.fx.GraphModule:
+        self._annotate_all_static_patterns(
+            model,
+            self.global_config,
+        )
+        return model
+
+    def validate(self, model: torch.fx.GraphModule) -> None:
+        pass
diff --git a/backends/vulkan/runtime/VulkanBackend.cpp b/backends/vulkan/runtime/VulkanBackend.cpp
index bb4d3e6603..7ed9469f77 100644
--- a/backends/vulkan/runtime/VulkanBackend.cpp
+++ b/backends/vulkan/runtime/VulkanBackend.cpp
@@ -412,7 +412,7 @@ void maybe_resize_output(
 // VulkanBackend class
 //
 
-class VulkanBackend final : public PyTorchBackendInterface {
+class VulkanBackend final : public ::executorch::runtime::BackendInterface {
  public:
   ~VulkanBackend() override = default;
 
@@ -421,7 +421,7 @@ class VulkanBackend final : public PyTorchBackendInterface {
     return true;
   }
 
-  __ET_NODISCARD Error
+  ET_NODISCARD Error
   compileModel(const void* buffer_pointer, ComputeGraph* compute_graph) const {
     Result<VulkanDelegateHeader> header =
         VulkanDelegateHeader::parse(buffer_pointer);
@@ -485,7 +485,7 @@ class VulkanBackend final : public PyTorchBackendInterface {
   }
 
   Error execute(
-      __ET_UNUSED BackendExecutionContext& context,
+      ET_UNUSED BackendExecutionContext& context,
       DelegateHandle* handle,
       EValue** args) const override {
     EXECUTORCH_SCOPE_PROF("VulkanBackend::execute");
diff --git a/backends/vulkan/runtime/api/Context.cpp b/backends/vulkan/runtime/api/Context.cpp
index b94e242df6..4d2a854de3 100644
--- a/backends/vulkan/runtime/api/Context.cpp
+++ b/backends/vulkan/runtime/api/Context.cpp
@@ -95,9 +95,9 @@ vkapi::DescriptorSet Context::get_descriptor_set(
       pipeline_layout_cache().retrieve(shader_layout);
 
   vkapi::SpecVarList spec_constants = {
-      SV(local_workgroup_size.data[0u]),
-      SV(local_workgroup_size.data[1u]),
-      SV(local_workgroup_size.data[2u])};
+      SV(local_workgroup_size[0u]),
+      SV(local_workgroup_size[1u]),
+      SV(local_workgroup_size[2u])};
 
   spec_constants.append(additional_constants);
 
@@ -119,11 +119,11 @@ void Context::register_shader_dispatch(
     const utils::uvec3& global_workgroup_size) {
   // Adjust the global workgroup size based on the output tile size
   uint32_t global_wg_w = utils::div_up(
-      global_workgroup_size.data[0u], shader_descriptor.out_tile_size.data[0u]);
+      global_workgroup_size[0u], shader_descriptor.out_tile_size[0u]);
   uint32_t global_wg_h = utils::div_up(
-      global_workgroup_size.data[1u], shader_descriptor.out_tile_size.data[1u]);
+      global_workgroup_size[1u], shader_descriptor.out_tile_size[1u]);
   uint32_t global_wg_d = utils::div_up(
-      global_workgroup_size.data[2u], shader_descriptor.out_tile_size.data[2u]);
+      global_workgroup_size[2u], shader_descriptor.out_tile_size[2u]);
 
   // Submitting a global work group size of 0 is undefined behaviour. If this is
   // detected then submit a single workgroup instead.
diff --git a/backends/vulkan/runtime/api/api.h b/backends/vulkan/runtime/api/api.h
index de77c57fb0..0f496a4af8 100644
--- a/backends/vulkan/runtime/api/api.h
+++ b/backends/vulkan/runtime/api/api.h
@@ -12,7 +12,7 @@
 #include <executorch/backends/vulkan/runtime/api/ShaderRegistry.h>
 
 #include <executorch/backends/vulkan/runtime/api/containers/ParamsBuffer.h>
-#include <executorch/backends/vulkan/runtime/api/containers/StorageBuffer.h>
+#include <executorch/backends/vulkan/runtime/api/containers/StagingBuffer.h>
 #include <executorch/backends/vulkan/runtime/api/containers/Tensor.h>
 
 #include <executorch/backends/vulkan/runtime/utils/VecUtils.h>
diff --git a/backends/vulkan/runtime/api/containers/StagingBuffer.h b/backends/vulkan/runtime/api/containers/StagingBuffer.h
new file mode 100644
index 0000000000..6f67ae8a64
--- /dev/null
+++ b/backends/vulkan/runtime/api/containers/StagingBuffer.h
@@ -0,0 +1,104 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+// @lint-ignore-every CLANGTIDY facebook-hte-BadMemberName
+
+#include <executorch/backends/vulkan/runtime/api/Context.h>
+
+#include <executorch/backends/vulkan/runtime/vk_api/memory/Buffer.h>
+
+#include <cstring>
+
+namespace vkcompute {
+namespace api {
+
+class StagingBuffer final {
+ private:
+  Context* context_p_;
+  vkapi::ScalarType dtype_;
+  size_t numel_;
+  size_t nbytes_;
+  vkapi::VulkanBuffer vulkan_buffer_;
+
+  void* mapped_data_;
+
+ public:
+  StagingBuffer(
+      Context* context_p,
+      const vkapi::ScalarType dtype,
+      const size_t numel)
+      : context_p_(context_p),
+        dtype_(dtype),
+        numel_(numel),
+        nbytes_(element_size(dtype_) * numel_),
+        vulkan_buffer_(
+            context_p_->adapter_ptr()->vma().create_staging_buffer(nbytes_)),
+        mapped_data_(nullptr) {}
+
+  StagingBuffer(const StagingBuffer&) = delete;
+  StagingBuffer& operator=(const StagingBuffer&) = delete;
+
+  StagingBuffer(StagingBuffer&&) = default;
+  StagingBuffer& operator=(StagingBuffer&&) = default;
+
+  ~StagingBuffer() {
+    context_p_->register_buffer_cleanup(vulkan_buffer_);
+  }
+
+  inline vkapi::ScalarType dtype() {
+    return dtype_;
+  }
+
+  inline vkapi::VulkanBuffer& buffer() {
+    return vulkan_buffer_;
+  }
+
+  inline void* data() {
+    if (!mapped_data_) {
+      mapped_data_ = vulkan_buffer_.allocation_info().pMappedData;
+    }
+    return mapped_data_;
+  }
+
+  inline size_t numel() {
+    return numel_;
+  }
+
+  inline size_t nbytes() {
+    return nbytes_;
+  }
+
+  inline void copy_from(const void* src, const size_t nbytes) {
+    VK_CHECK_COND(nbytes <= nbytes_);
+    memcpy(data(), src, nbytes);
+    vmaFlushAllocation(
+        vulkan_buffer_.vma_allocator(),
+        vulkan_buffer_.allocation(),
+        0u,
+        VK_WHOLE_SIZE);
+  }
+
+  inline void copy_to(void* dst, const size_t nbytes) {
+    VK_CHECK_COND(nbytes <= nbytes_);
+    vmaInvalidateAllocation(
+        vulkan_buffer_.vma_allocator(),
+        vulkan_buffer_.allocation(),
+        0u,
+        VK_WHOLE_SIZE);
+    memcpy(dst, data(), nbytes);
+  }
+
+  inline void set_staging_zeros() {
+    memset(data(), 0, nbytes_);
+  }
+};
+
+} // namespace api
+} // namespace vkcompute
diff --git a/backends/vulkan/runtime/api/containers/StorageBuffer.h b/backends/vulkan/runtime/api/containers/StorageBuffer.h
deleted file mode 100644
index 17c3470605..0000000000
--- a/backends/vulkan/runtime/api/containers/StorageBuffer.h
+++ /dev/null
@@ -1,70 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#pragma once
-
-// @lint-ignore-every CLANGTIDY facebook-hte-BadMemberName
-
-#include <executorch/backends/vulkan/runtime/api/Context.h>
-
-#include <executorch/backends/vulkan/runtime/vk_api/memory/Buffer.h>
-
-namespace vkcompute {
-namespace api {
-
-class StorageBuffer final {
- private:
-  Context* context_p_;
-  vkapi::ScalarType dtype_;
-  size_t numel_;
-  size_t nbytes_;
-  vkapi::VulkanBuffer vulkan_buffer_;
-
- public:
-  StorageBuffer(
-      Context* context_p,
-      const vkapi::ScalarType dtype,
-      const size_t numel,
-      const bool gpuonly = false)
-      : context_p_(context_p),
-        dtype_(dtype),
-        numel_(numel),
-        nbytes_(element_size(dtype_) * numel_),
-        vulkan_buffer_(context_p_->adapter_ptr()->vma().create_storage_buffer(
-            nbytes_,
-            gpuonly)) {}
-
-  StorageBuffer(const StorageBuffer&) = delete;
-  StorageBuffer& operator=(const StorageBuffer&) = delete;
-
-  StorageBuffer(StorageBuffer&&) = default;
-  StorageBuffer& operator=(StorageBuffer&&) = default;
-
-  ~StorageBuffer() {
-    context_p_->register_buffer_cleanup(vulkan_buffer_);
-  }
-
-  inline vkapi::ScalarType dtype() {
-    return dtype_;
-  }
-
-  inline vkapi::VulkanBuffer& buffer() {
-    return vulkan_buffer_;
-  }
-
-  inline size_t numel() {
-    return numel_;
-  }
-
-  inline size_t nbytes() {
-    return nbytes_;
-  }
-};
-
-} // namespace api
-} // namespace vkcompute
diff --git a/backends/vulkan/runtime/api/containers/Tensor.cpp b/backends/vulkan/runtime/api/containers/Tensor.cpp
index 85656f791a..fb93c7a03b 100644
--- a/backends/vulkan/runtime/api/containers/Tensor.cpp
+++ b/backends/vulkan/runtime/api/containers/Tensor.cpp
@@ -13,36 +13,140 @@
 namespace vkcompute {
 namespace api {
 
+/*
+ * Given the strides of a buffer-backed tensor, estimate the equivalent memory
+ * layout enum value by identifying the fastest moving dimension.
+ */
+utils::GPUMemoryLayout estimate_memory_layout(
+    const std::vector<int64_t>& dim_order) {
+  int64_t fastest_dim_whcn = dim_order.size() - 1 - dim_order.back();
+  if (fastest_dim_whcn >= 0 && fastest_dim_whcn < 3) {
+    return utils::GPUMemoryLayout(fastest_dim_whcn);
+  }
+
+  // TODO(ssjia) find a way to gracefully recover from this case by i.e. adding
+  // a UNKOWN GPUMemoryLayout. This is not high priority though because we don't
+  // expect this to ever come up in practice.
+  VK_THROW("No compatible GPUMemoryLayout value");
+}
+
+std::vector<int64_t> calculate_dim_order(
+    const size_t ndim,
+    const utils::GPUMemoryLayout memory_layout) {
+  // Special case for zero dim tensors
+  if (ndim == 0) {
+    return {0};
+  }
+  std::vector<int64_t> dim_order(ndim);
+  int64_t last_dim =
+      ndim - utils::to_packed_dim_nchw_offset<int64_t>(memory_layout);
+
+  int64_t cur_dim = 0;
+  for (int d = 0; d < ndim; ++d) {
+    if (d == last_dim) {
+      cur_dim++;
+    }
+    dim_order[d] = cur_dim;
+    cur_dim++;
+  }
+  if (last_dim >= 0) {
+    dim_order[ndim - 1] = last_dim;
+  }
+
+  return dim_order;
+}
+
 std::vector<int64_t> calculate_strides(
     const std::vector<int64_t>& sizes,
-    const utils::GPUMemoryLayout memory_layout,
-    const bool texel_strides) {
-  const int64_t dim_offset =
-      utils::to_packed_dim_nchw_offset<int64_t>(memory_layout);
-  const int64_t last_dim = sizes.size() - dim_offset;
-  VK_CHECK_COND(last_dim >= 0);
+    const std::vector<int64_t>& dim_order) {
+  // For zero dim tensors
+  if (sizes.size() == 0) {
+    return {1};
+  }
 
   size_t ndim = sizes.size();
   std::vector<int64_t> strides(ndim);
 
-  const int64_t last_dim_size =
-      texel_strides ? utils::div_up_4(sizes.at(last_dim)) : sizes.at(last_dim);
-
-  for (int stride_d = ndim - 1; stride_d >= 0; stride_d--) {
-    strides.at(stride_d) = 1;
-    if (stride_d == last_dim) {
-      continue;
-    }
-    strides.at(stride_d) = last_dim_size;
-    for (int size_d = ndim - 1; size_d > stride_d; size_d--) {
-      if (size_d != last_dim) {
-        strides.at(stride_d) *= sizes.at(size_d);
-      }
+  strides[dim_order[ndim - 1]] = 1;
+  for (int32_t i = ndim - 2; i >= 0; --i) {
+    if (sizes[dim_order[i + 1]] == 0) {
+      strides[dim_order[i]] = strides[dim_order[i + 1]];
+    } else {
+      strides[dim_order[i]] =
+          strides[dim_order[i + 1]] * sizes[dim_order[i + 1]];
     }
   }
+
   return strides;
 }
 
+/*
+ * Axis mapping is somewhat analogous to strides for texture backed tensors.
+ *
+ * The axis mapping is normalized to 4 dimensions, similar to the padded sizes.
+ * The first 3 values of the axis mapping indicate the (X,Y,Z) image texture
+ * axis that corresponds to the width, height, and channels dimension of the
+ * tensor. Thus the axis mapping can be considered to be in WHCN dimension
+ * order.
+ *
+ * The last value `axis_map.at(3)` indicates the WHCN index of the tensor
+ * dimension along which batches will be concatenated. This dimension can be
+ * referred to as the "inner dimension" To determine which image texture axis is
+ * used for the concatenation, a double lookup will need to be performed
+ * (axis_map.at(axis_map.at(3))).
+ *
+ * The reason for strucuring axis mapping this way is because for the batch dim,
+ * two things need to be easily derived:
+ *
+ * 1. The dim idx of the inner dimension, so that the size of the inner
+ *    dimension can be easily determined.
+ * 2. The texture axis used to concatenate batches
+ *
+ * By storing the dim index of the inner dimension instead of the texture axis
+ * it maps to, both pieces of information are readily available.
+ *
+ * The axis mapping allows for permuted views of texture-backed tensors.
+ */
+std::vector<int64_t> default_axis_map() {
+  // Currently, all compute shaders have an assumption that the channels dim is
+  // used to combine with the batch dim of a tensor. However, once dim mapping
+  // is integrated into the tensor indexing logic for each compute shader, we
+  // can be more flexible with mapping the batch dim to different texture axes
+  // in order to improve performance or memory footprint.
+  return {0, 1, 2, 2};
+}
+
+bool dim_order_is_valid(const std::vector<int64_t>& dim_order) {
+  int64_t sum = 0;
+  for (size_t i = 0; i < dim_order.size(); ++i) {
+    if (dim_order[i] < 0 || dim_order[i] >= dim_order.size()) {
+      return false;
+    }
+    sum += dim_order[i];
+  }
+  int64_t n = static_cast<int64_t>(dim_order.size() - 1);
+  // Sanity check that the sum of the indices in the vector is equal to the sum
+  // of 0 + 1 + 2 + ... + (ndim - 1)
+  return sum == n * (n + 1) / 2;
+}
+
+std::vector<int64_t> unsqueeze_strides(
+    const std::vector<int64_t>& strides,
+    const int64_t numel) {
+  const size_t ndim = strides.size();
+  const size_t ndim_up4 = utils::align_up_4(strides.size());
+  std::vector<int64_t> unsqueezed_strides(ndim_up4);
+  for (int32_t i = 1; i <= ndim; ++i) {
+    int64_t dim_stride = strides.at(ndim - i);
+    unsqueezed_strides.at(ndim_up4 - i) = dim_stride;
+  }
+
+  for (int32_t i = ndim + 1; i <= ndim_up4; ++i) {
+    unsqueezed_strides.at(ndim_up4 - i) = numel;
+  }
+  return unsqueezed_strides;
+}
+
 std::vector<int64_t> calculate_padded_sizes(
     const std::vector<int64_t>& sizes,
     const utils::GPUMemoryLayout memory_layout) {
@@ -69,230 +173,44 @@ std::vector<int64_t> calculate_padded_sizes(
 
 utils::uvec3 calculate_image_extents(
     const std::vector<int64_t>& padded_sizes,
+    const std::vector<int64_t>& axis_map,
     const utils::GPUMemoryLayout memory_layout) {
   VK_CHECK_COND(padded_sizes.size() == 4);
+  VK_CHECK_COND(axis_map.size() == 4);
+
+  utils::uvec3 extents({1, 1, 1});
+  // First three elements of axis_map indicate which (X,Y,Z) image axis the
+  // width, height, and channels dim of the tensor maps to.
+  for (int whcn_dim = 0; whcn_dim < 3; ++whcn_dim) {
+    const int64_t axis = axis_map.at(whcn_dim);
+    const int64_t dim = padded_sizes.size() - 1 - whcn_dim;
+    extents[axis] = utils::safe_downcast<uint32_t>(padded_sizes.at(dim));
+  }
 
-  uint32_t N = utils::safe_downcast<uint32_t>(padded_sizes.at(0));
-  uint32_t C = utils::safe_downcast<uint32_t>(padded_sizes.at(1));
-  uint32_t H = utils::safe_downcast<uint32_t>(padded_sizes.at(2));
-  uint32_t W = utils::safe_downcast<uint32_t>(padded_sizes.at(3));
+  // axis_map[3] indicates the WHCN index of the dimension used for batch
+  // concatenation. Thus a double lookup is required to determine the image axis
+  // used for batch concatenation.
+  const int64_t concatted_whcn_dim = axis_map.at(3);
+  const int64_t batch_axis = axis_map.at(concatted_whcn_dim);
+  // Multiply the extents of the batch axis by the batch size.
+  extents[batch_axis] *= padded_sizes.at(0);
 
   switch (memory_layout) {
     case utils::kWidthPacked:
-      VK_CHECK_COND(W % 4 == 0);
-      W /= 4;
+      VK_CHECK_COND(extents[axis_map.at(0)] % 4 == 0);
+      extents[axis_map.at(0)] /= 4;
       break;
     case utils::kHeightPacked:
-      VK_CHECK_COND(H % 4 == 0);
-      H /= 4;
+      VK_CHECK_COND(extents[axis_map.at(1)] % 4 == 0);
+      extents[axis_map.at(1)] /= 4;
       break;
     case utils::kChannelsPacked:
-      VK_CHECK_COND(C % 4 == 0);
-      C /= 4;
-      break;
-  }
-
-  return {W, H, C * N};
-}
-
-//
-// vTensor
-//
-
-vTensor::vTensor(
-    Context* const context,
-    const std::vector<int64_t>& sizes,
-    const vkapi::ScalarType dtype,
-    const utils::StorageType storage_type,
-    const utils::GPUMemoryLayout memory_layout,
-    const bool allocate_memory)
-    : dtype_(dtype),
-      memory_layout_(memory_layout),
-      // Calculate sizes and strides
-      sizes_(sizes.begin(), sizes.end()),
-      padded_sizes_{calculate_padded_sizes(sizes, memory_layout_)},
-      texture_limits_{{0, 0, 0}},
-      // Utility Uniform Buffers that can be passed to shaders as arguments
-      sizes_uniform_(),
-      texture_limits_uniform_(),
-      texel_strides_uniform_(),
-      ntexels_uniform_(),
-      // Construct Tensor storage
-      storage_(
-          context,
-          storage_type,
-          memory_layout_,
-          padded_sizes_,
-          dtype_,
-          allocate_memory) {
-  if (storage_type != utils::kBuffer) {
-    texture_limits_.limits = utils::ivec3{
-        utils::safe_downcast<int32_t>(storage_.image_extents_.data[0]),
-        utils::safe_downcast<int32_t>(storage_.image_extents_.data[1]),
-        utils::safe_downcast<int32_t>(storage_.image_extents_.data[2])};
-  }
-
-  if (dtype == vkapi::kHalf) {
-    VK_CHECK_COND(
-        api::context()->adapter_ptr()->has_16bit_storage(),
-        "Half dtype is only available if the physical device supports float16 "
-        "storage buffers!");
-  }
-}
-
-vkapi::VulkanImage& vTensor::image(
-    vkapi::PipelineBarrier& pipeline_barrier,
-    const vkapi::PipelineStageFlags stage) & {
-  storage_.transition(pipeline_barrier, stage, vkapi::MemoryAccessType::READ);
-  return storage_.image_;
-}
-
-vkapi::VulkanImage& vTensor::image(
-    vkapi::PipelineBarrier& pipeline_barrier,
-    const vkapi::PipelineStageFlags stage,
-    const vkapi::MemoryAccessFlags access) & {
-  storage_.transition(pipeline_barrier, stage, access);
-  return storage_.image_;
-}
-
-vkapi::VulkanBuffer& vTensor::buffer(
-    vkapi::PipelineBarrier& pipeline_barrier,
-    const vkapi::PipelineStageFlags stage) & {
-  storage_.transition(pipeline_barrier, stage, vkapi::MemoryAccessType::READ);
-  return storage_.buffer_;
-}
-
-vkapi::VulkanBuffer& vTensor::buffer(
-    vkapi::PipelineBarrier& pipeline_barrier,
-    const vkapi::PipelineStageFlags stage,
-    const vkapi::MemoryAccessFlags access) & {
-  storage_.transition(pipeline_barrier, stage, access);
-  return storage_.buffer_;
-}
-
-const vkapi::BufferBindInfo vTensor::sizes_ubo() {
-  if (!sizes_uniform_.buffer()) {
-    sizes_uniform_ =
-        ParamsBuffer(storage_.context_, utils::make_whcn_ivec4(sizes_));
-  }
-  return vkapi::BufferBindInfo(sizes_uniform_.buffer());
-}
-
-const vkapi::BufferBindInfo vTensor::texture_limits_ubo() {
-  if (!texture_limits_uniform_.buffer()) {
-    texture_limits_uniform_ = ParamsBuffer(storage_.context_, texture_limits_);
-  }
-  return vkapi::BufferBindInfo(texture_limits_uniform_.buffer());
-}
-
-const vkapi::BufferBindInfo vTensor::texel_strides_ubo() {
-  if (!texel_strides_uniform_.buffer()) {
-    texel_strides_uniform_ = ParamsBuffer(
-        storage_.context_,
-        utils::make_whcn_ivec4(
-            calculate_strides(padded_sizes_, memory_layout_)));
-  }
-  return vkapi::BufferBindInfo(texel_strides_uniform_.buffer());
-}
-
-const vkapi::BufferBindInfo vTensor::ntexels_ubo() {
-  if (!ntexels_uniform_.buffer()) {
-    ntexels_uniform_ = ParamsBuffer(storage_.context_, texel_numel());
-  }
-  return vkapi::BufferBindInfo(ntexels_uniform_.buffer());
-}
-
-VmaAllocationCreateInfo vTensor::get_allocation_create_info() const {
-  switch (storage_type()) {
-    case utils::kBuffer:
-      return storage_.buffer_.allocation_create_info();
-    case utils::kTexture2D:
-    case utils::kTexture3D:
-      return storage_.image_.allocation_create_info();
-  }
-  return {};
-}
-
-VkMemoryRequirements vTensor::get_memory_requirements() const {
-  switch (storage_type()) {
-    case utils::kBuffer:
-      return storage_.buffer_.get_memory_requirements();
-    case utils::kTexture2D:
-    case utils::kTexture3D:
-      return storage_.image_.get_memory_requirements();
-  }
-  return {};
-}
-
-void vTensor::bind_allocation(const vkapi::Allocation& allocation) {
-  switch (storage_type()) {
-    case utils::kBuffer:
-      storage_.buffer_.bind_allocation(allocation);
+      VK_CHECK_COND(extents[axis_map.at(2)] % 4 == 0);
+      extents[axis_map.at(2)] /= 4;
       break;
-    case utils::kTexture2D:
-    case utils::kTexture3D:
-      storage_.image_.bind_allocation(allocation);
-      break;
-  }
-}
-
-void vTensor::update_size_metadata(const std::vector<int64_t>& new_sizes) {
-  sizes_ = new_sizes;
-  padded_sizes_ = calculate_padded_sizes(sizes_, memory_layout_);
-
-  // Calculate the extents of the image texture that would have been required
-  // for a tensor of the new sizes.
-  utils::uvec3 virtual_extents =
-      calculate_image_extents(padded_sizes_, memory_layout_);
-
-  // Update the texture limits to reflect the new virtual extents.
-  texture_limits_.limits = utils::ivec3{
-      utils::safe_downcast<int32_t>(virtual_extents.data[0]),
-      utils::safe_downcast<int32_t>(virtual_extents.data[1]),
-      utils::safe_downcast<int32_t>(virtual_extents.data[2])};
-
-  if (sizes_uniform_.buffer()) {
-    sizes_uniform_.update(utils::make_whcn_ivec4(sizes_));
-  }
-  if (texture_limits_uniform_.buffer()) {
-    texture_limits_uniform_.update(texture_limits_);
-  }
-  if (texel_strides_uniform_.buffer()) {
-    texel_strides_uniform_.update(utils::make_whcn_ivec4(
-        calculate_strides(padded_sizes_, memory_layout_)));
-  }
-  if (ntexels_uniform_.buffer()) {
-    ntexels_uniform_.update(texel_numel());
-  }
-}
-
-void vTensor::reallocate(const std::vector<int64_t>& new_sizes) {
-  update_size_metadata(new_sizes);
-  storage_.discard_and_reallocate(
-      calculate_padded_sizes(new_sizes, memory_layout_),
-      memory_layout_,
-      dtype_);
-}
-
-void vTensor::virtual_resize(const std::vector<int64_t>& new_sizes) {
-  if (storage_type() != utils::kBuffer) {
-    // For texture storage check that the current texture is large enough for
-    // the new sizes of the tensor.
-    utils::uvec3 virtual_extents =
-        calculate_image_extents(padded_sizes_, memory_layout_);
-
-    bool valid_resize = virtual_extents.data[0] <= image_extents().data[0];
-    valid_resize =
-        valid_resize && virtual_extents.data[1] <= image_extents().data[1];
-    valid_resize =
-        valid_resize && virtual_extents.data[2] <= image_extents().data[2];
-
-    VK_CHECK_COND(
-        valid_resize,
-        "Cannot use virtual resize if new sizes requires a larger texture.");
   }
 
-  update_size_metadata(new_sizes);
+  return extents;
 }
 
 //
@@ -361,20 +279,23 @@ vkapi::VulkanBuffer allocate_buffer(
   }
 
   return adapter_ptr->vma().create_storage_buffer(
-      element_size(dtype) * numel, /*gpu_only = */ true, allocate_memory);
+      element_size(dtype) * numel, allocate_memory);
 }
 
 vTensorStorage::vTensorStorage(
     Context* const context,
     const utils::StorageType storage_type,
     const utils::GPUMemoryLayout gpu_memory_layout,
+    const std::vector<int64_t>& axis_map,
     const std::vector<int64_t>& padded_sizes,
     const vkapi::ScalarType dtype,
     const bool allocate_memory)
     : context_(context),
       storage_type_{storage_type},
-      image_extents_(calculate_image_extents(padded_sizes, gpu_memory_layout)),
+      image_extents_(
+          calculate_image_extents(padded_sizes, axis_map, gpu_memory_layout)),
       buffer_length_{utils::multiply_integers(padded_sizes)},
+      buffer_offset_{0},
       image_(allocate_image(
           context_,
           image_extents_,
@@ -389,6 +310,18 @@ vTensorStorage::vTensorStorage(
           allocate_memory)),
       last_access_{} {}
 
+vTensorStorage::vTensorStorage(
+    const vTensorStorage& other,
+    const int64_t buffer_offset)
+    : context_(other.context_),
+      storage_type_{other.storage_type_},
+      image_extents_(other.image_extents_),
+      buffer_length_{other.buffer_length_},
+      buffer_offset_{buffer_offset},
+      image_(other.image_),
+      buffer_(other.buffer_, buffer_offset),
+      last_access_{other.last_access_} {}
+
 vTensorStorage::~vTensorStorage() {
   flush();
 }
@@ -456,26 +389,361 @@ void vTensorStorage::transition(
   last_access_.access = cur_access;
 }
 
-void vTensorStorage::discard_and_reallocate(
-    const std::vector<int64_t>& padded_sizes,
-    const utils::GPUMemoryLayout gpu_memory_layout,
-    const vkapi::ScalarType dtype) {
-  const bool image_owns_memory = image_.owns_memory();
-  const bool buffer_owns_memory = buffer_.owns_memory();
+bool vTensorStorage::is_copy_of(const vTensorStorage& other) const {
+  if (storage_type_ == utils::kBuffer) {
+    return buffer_.is_copy_of(other.buffer_);
+  }
+  return image_.is_copy_of(other.image_);
+}
 
-  flush();
+//
+// vTensor
+//
+
+vTensor::vTensor(
+    Context* const context,
+    const std::vector<int64_t>& sizes,
+    const vkapi::ScalarType dtype,
+    const utils::StorageType storage_type,
+    const utils::GPUMemoryLayout memory_layout,
+    const bool allocate_memory)
+    : dtype_(dtype),
+      memory_layout_(memory_layout),
+      // Calculate tensor metadata
+      sizes_(sizes.begin(), sizes.end()),
+      dim_order_(calculate_dim_order(sizes_.size(), memory_layout_)),
+      axis_map_(default_axis_map()),
+      strides_(calculate_strides(sizes, dim_order_)),
+      numel_(utils::multiply_integers(sizes_)),
+      padded_sizes_{calculate_padded_sizes(sizes, memory_layout_)},
+      unsqueezed_strides_{unsqueeze_strides(strides_, numel_)},
+      padded_numel_(utils::multiply_integers(padded_sizes_)),
+      logical_limits_{{0, 0, 0}},
+      // Utility Uniform Buffers that can be passed to shaders as arguments
+      sizes_uniform_(),
+      strides_uniform_(),
+      numel_uniform_(),
+      axis_map_uniform_(),
+      logical_limits_uniform_(),
+      // Construct Tensor storage
+      storage_(
+          context,
+          storage_type,
+          memory_layout_,
+          axis_map_,
+          padded_sizes_,
+          dtype_,
+          allocate_memory) {
+  VK_CHECK_COND(
+      dim_order_is_valid(dim_order_), "computed dim order is invalid");
+
+  if (storage_type != utils::kBuffer) {
+    set_logical_limits(storage_.image_extents_);
+  }
+
+  if (dtype == vkapi::kHalf) {
+    VK_CHECK_COND(
+        api::context()->adapter_ptr()->has_16bit_storage(),
+        "Half dtype is only available if the physical device supports float16 "
+        "storage buffers!");
+  }
+}
+
+vTensor::vTensor(const vTensor& other)
+    : dtype_(other.dtype_),
+      memory_layout_(other.memory_layout_),
+      // Copy tensor size metadata
+      sizes_(other.sizes_.begin(), other.sizes_.end()),
+      dim_order_(other.dim_order_.begin(), other.dim_order_.end()),
+      axis_map_(other.axis_map_.begin(), other.axis_map_.end()),
+      strides_(other.strides_.begin(), other.strides_.end()),
+      numel_(other.numel_),
+      padded_sizes_{other.padded_sizes_.begin(), other.padded_sizes_.end()},
+      unsqueezed_strides_{
+          other.unsqueezed_strides_.begin(),
+          other.unsqueezed_strides_.end()},
+      padded_numel_(other.padded_numel_),
+      logical_limits_{other.logical_limits_},
+      // Empty initialize Utility Uniform Buffers
+      sizes_uniform_(),
+      strides_uniform_(),
+      numel_uniform_(),
+      axis_map_uniform_(),
+      logical_limits_uniform_(),
+      // Copy Tensor storage
+      storage_(other.storage_) {}
+
+vTensor::vTensor(
+    const vTensor& other,
+    const std::vector<int64_t>& sizes,
+    const std::vector<int64_t>& dim_order,
+    const int64_t offset_numel)
+    : dtype_(other.dtype_),
+      memory_layout_(estimate_memory_layout(dim_order)),
+      // Copy tensor size metadata
+      sizes_(sizes.begin(), sizes.end()),
+      dim_order_(dim_order.begin(), dim_order.end()),
+      axis_map_(default_axis_map()),
+      strides_(calculate_strides(sizes_, dim_order_)),
+      numel_(utils::multiply_integers(sizes_)),
+      padded_sizes_{calculate_padded_sizes(sizes, memory_layout_)},
+      unsqueezed_strides_{unsqueeze_strides(strides_, numel_)},
+      padded_numel_(utils::multiply_integers(padded_sizes_)),
+      logical_limits_(other.logical_limits_),
+      // Empty initialize Utility Uniform Buffers
+      sizes_uniform_(),
+      strides_uniform_(),
+      numel_uniform_(),
+      axis_map_uniform_(),
+      logical_limits_uniform_(),
+      // Copy Tensor storage
+      storage_(other.storage_, vkapi::element_size(dtype_) * offset_numel) {
+  VK_CHECK_COND(
+      dim_order_is_valid(dim_order_), "new dim order provided is invalid");
+  VK_CHECK_COND(
+      offset_numel + numel_ <= other.numel(),
+      "Tensor alias cannot access more elements than available in the original"
+      "tensor");
+}
+
+vkapi::VulkanImage& vTensor::image(
+    vkapi::PipelineBarrier& pipeline_barrier,
+    const vkapi::PipelineStageFlags stage) & {
+  storage_.transition(pipeline_barrier, stage, vkapi::MemoryAccessType::READ);
+  return storage_.image_;
+}
+
+vkapi::VulkanImage& vTensor::image(
+    vkapi::PipelineBarrier& pipeline_barrier,
+    const vkapi::PipelineStageFlags stage,
+    const vkapi::MemoryAccessFlags access) & {
+  storage_.transition(pipeline_barrier, stage, access);
+  return storage_.image_;
+}
+
+vkapi::VulkanBuffer& vTensor::buffer(
+    vkapi::PipelineBarrier& pipeline_barrier,
+    const vkapi::PipelineStageFlags stage) & {
+  storage_.transition(pipeline_barrier, stage, vkapi::MemoryAccessType::READ);
+  return storage_.buffer_;
+}
+
+vkapi::VulkanBuffer& vTensor::buffer(
+    vkapi::PipelineBarrier& pipeline_barrier,
+    const vkapi::PipelineStageFlags stage,
+    const vkapi::MemoryAccessFlags access) & {
+  storage_.transition(pipeline_barrier, stage, access);
+  return storage_.buffer_;
+}
+
+void vTensor::set_logical_limits(const utils::uvec3& image_extents) {
+  logical_limits_.limits[0] = image_extents[axis_map_.at(0)];
+  logical_limits_.limits[1] = image_extents[axis_map_.at(1)];
+  logical_limits_.limits[2] = image_extents[axis_map_.at(2)];
+}
+
+const vkapi::BufferBindInfo vTensor::sizes_ubo() {
+  if (!sizes_uniform_.buffer()) {
+    sizes_uniform_ =
+        ParamsBuffer(storage_.context_, utils::make_whcn_ivec4(sizes_));
+  }
+  return vkapi::BufferBindInfo(sizes_uniform_.buffer());
+}
+
+const vkapi::BufferBindInfo vTensor::strides_ubo() {
+  if (!strides_uniform_.buffer()) {
+    strides_uniform_ = ParamsBuffer(
+        storage_.context_, utils::make_whcn_ivec4(unsqueezed_strides_));
+  }
+  return vkapi::BufferBindInfo(strides_uniform_.buffer());
+}
+
+const vkapi::BufferBindInfo vTensor::axis_map_ubo() {
+  if (!axis_map_uniform_.buffer()) {
+    axis_map_uniform_ =
+        ParamsBuffer(storage_.context_, utils::make_ivec4(axis_map_));
+  }
+  return vkapi::BufferBindInfo(axis_map_uniform_.buffer());
+}
+
+const vkapi::BufferBindInfo vTensor::logical_limits_ubo() {
+  if (!logical_limits_uniform_.buffer()) {
+    logical_limits_uniform_ = ParamsBuffer(storage_.context_, logical_limits_);
+  }
+  return vkapi::BufferBindInfo(logical_limits_uniform_.buffer());
+}
+
+const vkapi::BufferBindInfo vTensor::numel_ubo() {
+  if (!numel_uniform_.buffer()) {
+    numel_uniform_ = ParamsBuffer(storage_.context_, numel_);
+  }
+  return vkapi::BufferBindInfo(numel_uniform_.buffer());
+}
+
+size_t vTensor::staging_buffer_numel() const {
+  const bool is_int8 = dtype_ == vkapi::kChar;
+  const bool int8_supported =
+      storage_.context_->adapter_ptr()->has_full_int8_buffers_support();
+  if (is_int8 && !int8_supported) {
+    return utils::align_up_4(numel_);
+  }
+  if (storage_type() == utils::kBuffer) {
+    return numel_;
+  }
+  return padded_numel_;
+}
+
+VkMemoryRequirements vTensor::get_memory_requirements() const {
+  switch (storage_type()) {
+    case utils::kBuffer:
+      return storage_.buffer_.get_memory_requirements();
+    case utils::kTexture2D:
+    case utils::kTexture3D:
+      return storage_.image_.get_memory_requirements();
+  }
+  return {};
+}
+
+void vTensor::bind_allocation(const vkapi::Allocation& allocation) {
+  switch (storage_type()) {
+    case utils::kBuffer:
+      storage_.buffer_.bind_allocation(allocation);
+      break;
+    case utils::kTexture2D:
+    case utils::kTexture3D:
+      storage_.image_.bind_allocation(allocation);
+      break;
+  }
+}
+
+void vTensor::update_metadata() {
+  strides_ = calculate_strides(sizes_, dim_order_);
+  // Only update the memory layout for buffer-backed tensors. Strides are
+  // meaningless for texture-backed tensors and do not impact the memory layout.
+  if (storage_type() == utils::kBuffer) {
+    memory_layout_ = estimate_memory_layout(dim_order_);
+  }
+  numel_ = utils::multiply_integers(sizes_);
 
-  image_extents_ = calculate_image_extents(padded_sizes, gpu_memory_layout);
-  image_ = allocate_image(
-      context_,
-      image_extents_,
-      storage_type_,
-      to_vkformat(dtype),
-      image_owns_memory);
-
-  buffer_length_ = utils::multiply_integers(padded_sizes);
-  buffer_ = allocate_buffer(
-      context_, buffer_length_, storage_type_, dtype, buffer_owns_memory);
+  padded_sizes_ = calculate_padded_sizes(sizes_, memory_layout_);
+  unsqueezed_strides_ = unsqueeze_strides(strides_, numel_);
+  padded_numel_ = utils::multiply_integers(padded_sizes_);
+
+  // Calculate the image extents that would have been used to allocate a texture
+  // withthe current sizes, and use that to set the logical limits.
+  set_logical_limits(
+      calculate_image_extents(padded_sizes_, axis_map_, memory_layout_));
+
+  if (sizes_uniform_.buffer()) {
+    sizes_uniform_.update(utils::make_whcn_ivec4(sizes_));
+  }
+  if (strides_uniform_.buffer()) {
+    strides_uniform_.update(utils::make_whcn_ivec4(unsqueezed_strides_));
+  }
+  if (numel_uniform_.buffer()) {
+    numel_uniform_.update(numel_);
+  }
+  if (axis_map_uniform_.buffer()) {
+    axis_map_uniform_.update(utils::make_ivec4(axis_map_));
+  }
+  if (logical_limits_uniform_.buffer()) {
+    logical_limits_uniform_.update(logical_limits_);
+  }
+}
+
+void vTensor::check_sizes(const std::vector<int64_t>& sizes) const {
+  if (storage_type() != utils::kBuffer) {
+    // For texture storage check that the current texture is large enough for
+    // the new sizes of the tensor.
+    utils::uvec3 virtual_extents =
+        calculate_image_extents(padded_sizes_, axis_map_, memory_layout_);
+
+    bool valid_resize = virtual_extents[0] <= storage_.image_extents_[0];
+    valid_resize =
+        valid_resize && virtual_extents[1] <= storage_.image_extents_[1];
+    valid_resize =
+        valid_resize && virtual_extents[2] <= storage_.image_extents_[2];
+
+    VK_CHECK_COND(
+        valid_resize,
+        "tensor sizes requires a larger texture than the current one.");
+  } else {
+    // For buffer storage check that the current buffer is large enough for the
+    // new sizes of the tensor.
+    int64_t numel = utils::multiply_integers(sizes);
+    bool valid_resize =
+        numel + storage_.buffer_offset_ <= storage_.buffer_length_;
+    VK_CHECK_COND(
+        valid_resize,
+        "tensor sizes requires a larger buffer than the current one.");
+  }
+}
+
+void vTensor::virtual_reconfigure(
+    const std::vector<int64_t>& new_sizes,
+    const std::vector<int64_t>& new_dim_order) {
+  VK_CHECK_COND(
+      storage_type() == utils::kBuffer,
+      "virtual_reconfigure is only applicable for buffer backed tensors");
+  VK_CHECK_COND(new_sizes.size() == new_dim_order.size());
+  VK_CHECK_COND(dim_order_is_valid(new_dim_order));
+
+  check_sizes(new_sizes);
+  sizes_ = new_sizes;
+  dim_order_ = new_dim_order;
+  update_metadata();
+}
+
+void vTensor::virtual_resize(const std::vector<int64_t>& new_sizes) {
+  VK_CHECK_COND(
+      new_sizes.size() == dim_order_.size(),
+      "new sizes cannot modify the dimensionality of the tensor ");
+
+  check_sizes(new_sizes);
+  sizes_ = new_sizes;
+  update_metadata();
+}
+
+/*
+ * Transposing the dim order is a bit unintuitive. dim0 and dim1 have swapped
+ * their "identities", so we need to swap the values of dim0 and dim1 wherever
+ * they appear in the dim order vector. Compare this to just swapping the
+ * elements at dim0 and dim1 in the `sizes` vectors.
+ */
+void transpose_dim_order_inplace(
+    std::vector<int64_t>& dim_order,
+    const int64_t dim0,
+    const int64_t dim1) {
+  for (int i = 0; i < dim_order.size(); ++i) {
+    if (dim_order[i] == dim0) {
+      dim_order[i] = dim1;
+    } else if (dim_order[i] == dim1) {
+      dim_order[i] = dim0;
+    }
+  }
+}
+
+void vTensor::virtual_transpose(const int64_t dim0, const int64_t dim1) {
+  std::iter_swap(sizes_.begin() + dim0, sizes_.begin() + dim1);
+  if (storage_type() == utils::kBuffer) {
+    transpose_dim_order_inplace(dim_order_, dim0, dim1);
+  } else {
+    const int dim0_whcn = sizes_.size() - 1 - dim0;
+    const int dim1_whcn = sizes_.size() - 1 - dim1;
+    // Cannot transpose batch dimension for texture storage
+    VK_CHECK_COND(dim0_whcn < 3 && dim1_whcn < 3);
+
+    std::iter_swap(
+        axis_map_.begin() + dim0_whcn, axis_map_.begin() + dim1_whcn);
+
+    if (packed_dim_whcn_idx() == dim0_whcn) {
+      memory_layout_ = utils::GPUMemoryLayout(dim1_whcn);
+    }
+    if (packed_dim_whcn_idx() == dim1_whcn) {
+      memory_layout_ = utils::GPUMemoryLayout(dim0_whcn);
+    }
+  }
+  update_metadata();
 }
 
 } // namespace api
diff --git a/backends/vulkan/runtime/api/containers/Tensor.h b/backends/vulkan/runtime/api/containers/Tensor.h
index 6ec5ba5b09..6327a0e8fd 100644
--- a/backends/vulkan/runtime/api/containers/Tensor.h
+++ b/backends/vulkan/runtime/api/containers/Tensor.h
@@ -20,20 +20,25 @@ namespace vkcompute {
 namespace api {
 
 /*
- * Given the sizes of a tensor and the GPU memory layout, calculate the strides
- * of the tensor in NCHW dimension order. The GPU memory layout will be used to
- * determine which dimension is packed along a texel; that dimension will be
- * used as the "fasted moving" dimension with a stride of 1.
- *
- * If texel_strides is true, then the strides will be calculated for a texel
- * buffer (i.e. the size of the packed dimension will be modified by the
- * div_up_4 function before being used in calculations). Otherwise, the strides
- * will be calculated assuming a contiguous scalar buffer.
+ * Given a GPUMemoryLayout value, produce a dim order vector that matches the
+ * given memory layout. The produced dim order vector will be in the NCHW
+ * dimension order
+ */
+std::vector<int64_t> calculate_dim_order(
+    const size_t ndim,
+    const utils::GPUMemoryLayout memory_layout);
+
+/*
+ * Given the sizes of a tensor and the dim order of the tensor (both in NCHW)
+ * dimension order, calculate the strides of the tensor.
  */
 std::vector<int64_t> calculate_strides(
     const std::vector<int64_t>& sizes,
-    const utils::GPUMemoryLayout memory_layout,
-    const bool texel_strides = true);
+    const std::vector<int64_t>& dim_order);
+
+std::vector<int64_t> unsqueeze_strides(
+    const std::vector<int64_t>& strides,
+    const int64_t numel);
 
 /*
  * When stored on the GPU, tensor data is stored using texels (i.e. a vector of
@@ -55,11 +60,11 @@ std::vector<int64_t> calculate_padded_sizes(
     const utils::GPUMemoryLayout memory_layout);
 
 /*
- * Given the padded sizes of a tensor and the GPU memory layout, calculate the
- * 3D image extents required to store the tensor data as an image texture.
+ * Calculate the image extents required of a texture backed tensor.
  */
 utils::uvec3 calculate_image_extents(
     const std::vector<int64_t>& padded_sizes,
+    const std::vector<int64_t>& axis_map,
     const utils::GPUMemoryLayout memory_layout);
 
 struct LastAccess {
@@ -85,11 +90,24 @@ class vTensorStorage final {
       Context* context,
       const utils::StorageType storage_type,
       const utils::GPUMemoryLayout gpu_memory_layout,
-      const std::vector<int64_t>& sizes,
+      const std::vector<int64_t>& axis_map,
+      const std::vector<int64_t>& padded_sizes,
       const vkapi::ScalarType dtype,
       const bool allocate_memory = true);
 
-  vTensorStorage(const vTensorStorage& other) = delete;
+ protected:
+  /*
+   * This allows for creation of tensors that use the same underlying storage
+   * as another tensor. Note that this functionality is currently enabled for
+   * tensors that have buffer storage only. The created tensor will not have
+   * ownership of the underlying VkBuffer. This constructor is marked protected
+   * because this behaviour is unsafe, since the original tensor may be
+   * destroyed before the copy is destroyed.
+   */
+  vTensorStorage(const vTensorStorage& other, const int64_t buffer_offset = 0);
+
+ public:
+  // To discourage creating copies, the assignment operator is still deleted.
   vTensorStorage& operator=(const vTensorStorage& other) = delete;
 
   vTensorStorage(vTensorStorage&& other) = default;
@@ -108,6 +126,7 @@ class vTensorStorage final {
   // Resource sizings
   utils::uvec3 image_extents_{};
   int64_t buffer_length_{};
+  int64_t buffer_offset_{};
 
   // GPU Storage
   mutable vkapi::VulkanImage image_;
@@ -134,10 +153,10 @@ class vTensorStorage final {
     return image_.format();
   }
 
-  void discard_and_reallocate(
-      const std::vector<int64_t>& padded_sizes,
-      const utils::GPUMemoryLayout gpu_memory_layout,
-      const vkapi::ScalarType dtype);
+  /*
+   * Used for checking if this vTensorStorage is a copy of another instance
+   */
+  bool is_copy_of(const vTensorStorage& other) const;
 };
 
 class vTensor final {
@@ -157,24 +176,108 @@ class vTensor final {
       const utils::GPUMemoryLayout memory_layout = utils::kChannelsPacked,
       const bool allocate_memory = true);
 
-  vTensor(const vTensor& other) = delete;
+  /*
+   * This constructor allows for the creation of a vTensor that references the
+   * same buffer resource of another vTensor, with the same sizes and strides
+   * metadata. The created vTensor will not own the underlying resource. This is
+   * only applicable for buffer backed tensors at the moment.
+   *
+   * Once created, the sizes and strides of the aliased vTensor can be changed
+   * using the `virtual_reconfigure` member function.
+   */
+  vTensor(const vTensor& other);
+
+  /*
+   * This constructor allows for the creation of a vTensor that references the
+   * same buffer resource of another vTensor, but with different sizes and
+   * strides metatdata. The created vTensor will not own the underlying
+   * resource. This is only applicable for buffer backed tensors at the moment.
+   *
+   * Note that dim order is used as the source of truth regarding the strides,
+   * and the new strides are computed from the new sizes and new dim order.
+   * Thus only the dim order is provided as an argument to this function.
+   *
+   * The offset_numel argument allows the aliased tensor's memory region to
+   * begin at an offset of N elements from the start of the original tensor's
+   * buffer.
+   */
+  vTensor(
+      const vTensor& other,
+      const std::vector<int64_t>& sizes,
+      const std::vector<int64_t>& dim_order,
+      const int64_t offset_numel = 0);
+
+  // To discourage making copies, the copy assignment operator is still deleted
   vTensor& operator=(const vTensor& other) = delete;
 
   vTensor(vTensor&& other) = default;
   vTensor& operator=(vTensor&& other) = default;
 
  private:
+  /*
+   * "Core" tensor metadata. They are the minimum amount of information required
+   * to construct a tensor.
+   */
+
+  // Whether the tensor has elements of type float, int, etc.
   vkapi::ScalarType dtype_;
+  // Describes which dimension is "tightly packed". For texture backed tensors,
+  // this describes which dimension is packed along a texel. For buffer backed
+  // tensors, this describes which dimension has a stride of 1 (i.e. is last in
+  // the dim order).
   utils::GPUMemoryLayout memory_layout_;
-
   // sizes of the tensor in NCHW dimension order
   std::vector<int64_t> sizes_;
+
+  /*
+   * "Layout" metadata. These describe with further detail how tensor data is
+   * laid out in memory. However, they are considered secondary to the "core"
+   * metadata members above because defaults can be assumed based on a given
+   * memory layout. When permuting the tensor without performing a copy, these
+   * metadata members are the ones that will be changed. All other metadata is
+   * derived from a combination of sizes, memory layout, and the below members.
+   */
+
+  // dim order of the tensor; dimension indices are in NCHW dimension order
+  // i.e. 0 is N, 1 is C, 2 is H, 3 is W for a 4D tensor. The dims with larger
+  // strides precede the dims with smaller strides in the dim order. The last
+  // dim is always the fastest moving dim with a stride of 1.
+  std::vector<int64_t> dim_order_;
+  // Describes which axis of an image texture each dimension of the tensor maps
+  // to. The axis mapping allows texture based tensors to be permuted and
+  // transposed without modifying the underlying texture storage. For a more in
+  // depth explanation of axis mapping, see the `default_axis_map()`
+  // function.
+  std::vector<int64_t> axis_map_;
+
+  /*
+   * The below can be consider "layout" metadata as well, but are derived from
+   * the above data members.
+   */
+
+  // strides of the tensor in NCHW dimension order
+  std::vector<int64_t> strides_;
+  // Contains the number of elements in the tensor according to the canonical
+  // sizes.
+  size_t numel_;
+
+  /*
+   * The below metadata members are derived from the above, and are typically
+   * to i.e. pass tensor metadata to compute shaders.
+   */
+
   // padded sizes of the tensor in NCHW dimension order. See the
-  // calculate_padded_sizes() function for more context.
+  // calculate_padded_sizes() function for more context. Note that padded sizes
+  // are only used for texture storage, and not for buffer storage.
   std::vector<int64_t> padded_sizes_;
-  // Contains the "virtual" texture extents of the tensor. See the
-  // texture_limits() function for more context.
-  TextureLimits texture_limits_;
+  // Contains the strides of the tensor, with the dimensionality padded to the
+  // nearest multiple of 4. Unsqueezed dims will have a stride of int32_t max.
+  std::vector<int64_t> unsqueezed_strides_;
+  // Contains the number of elements in the tensor according to the padded
+  // sizes.
+  size_t padded_numel_;
+  // See the comments documenting logical_limits() for more context.
+  TextureLimits logical_limits_;
 
   /*
    * Utility GPU buffers that can be passed to shaders in order to convey tensor
@@ -186,9 +289,10 @@ class vTensor final {
    * context about the data contained in each buffer.
    */
   ParamsBuffer sizes_uniform_;
-  ParamsBuffer texture_limits_uniform_;
-  ParamsBuffer texel_strides_uniform_;
-  ParamsBuffer ntexels_uniform_;
+  ParamsBuffer strides_uniform_;
+  ParamsBuffer numel_uniform_;
+  ParamsBuffer axis_map_uniform_;
+  ParamsBuffer logical_limits_uniform_;
 
   vTensorStorage storage_;
 
@@ -235,8 +339,29 @@ class vTensor final {
     return storage_.storage_type_ == utils::kBuffer;
   }
 
-  inline const utils::uvec3& image_extents() const {
-    return storage_.image_extents_;
+ private:
+  void set_logical_limits(const utils::uvec3& image_extents);
+
+ public:
+  /*
+   * The logical limits of the tensor are derived from the image extents of the
+   * image texture used to store the tensor, but with two key differences.
+   *
+   * First, the image extents are permuted according to the axis map. This
+   * makes it so that the first element of the logical limit is the limit of the
+   * texture axis corresponding to the width dimension of the tensor, the next
+   * element is the limit of the texture axis corresponding to the height
+   * dimension and the last element is the limit of the texture axis that
+   * corresponds to the channels dimension of the tensor.
+   *
+   * Second, the logical limits may use smaller extents than the actual image
+   * extents of the image texture. This is due to dynamic shape; if the tensor's
+   * `virtual_resize()` function is called, then the logical limits will reflect
+   * the extents that would be needed to support a tensor with the updated sizes
+   * instead of the original sizes.
+   */
+  inline const utils::ivec3& logical_limits() const {
+    return logical_limits_.limits;
   }
 
   /*
@@ -266,6 +391,22 @@ class vTensor final {
     return sizes_.size();
   }
 
+  inline const std::vector<int64_t>& dim_order() const {
+    return dim_order_;
+  }
+
+  inline const std::vector<int64_t>& axis_map() const {
+    return axis_map_;
+  }
+
+  inline const std::vector<int64_t>& strides() const {
+    return strides_;
+  }
+
+  inline const std::vector<int64_t>& unsqueezed_strides() const {
+    return unsqueezed_strides_;
+  }
+
   /*
    * Returns a GPU buffer containing the sizes of the tensor in WHCN order.
    * Note that dimensions that are not present in the tensor's sizes are set to
@@ -274,33 +415,32 @@ class vTensor final {
   const vkapi::BufferBindInfo sizes_ubo();
 
   /*
-   * Returns a GPU buffer containing the virtual image extents of the tensor.
-   * Since a tensor can be resized with the virtual_resize() function, this
-   * GPU buffer contains the image extents of the tensor calculated using the
-   * virtual_resize() function. This allows shaders to exit early if they are
-   * working outside the limits of the texture.
-   *
-   * This buffer should only be used to
+   * Returns a GPU buffer containing the strides of the tensor in WHCN order.
+   * Note that the strides are extended to a dimensionality that is a multiple
+   * of 4, thus dimensions that are not present in the tensor's sizes are set to
+   * have a stride equal to the stride of the "slowest moving" dimension.
    */
-  const vkapi::BufferBindInfo texture_limits_ubo();
+  const vkapi::BufferBindInfo strides_ubo();
 
   /*
-   * Returns the strides of the texel buffer used to store the tensor, as
-   * calculated by calculate_strides().
+   * Returns a GPU buffer containing the texture axis mapping for each dimension
+   * of the tensor, in WHCN dimension order.
    */
-  const vkapi::BufferBindInfo texel_strides_ubo();
+  const vkapi::BufferBindInfo axis_map_ubo();
 
   /*
-   * Returns the number of texels in the texel buffer used to store the tensor.
+   * Returns a GPU buffer containing the logical limits of the tensor. See the
+   * comments for logical_limits() for more context.
    */
-  const vkapi::BufferBindInfo ntexels_ubo();
+  const vkapi::BufferBindInfo logical_limits_ubo();
 
-  inline const utils::ivec3 texture_limits() const {
-    return texture_limits_.limits;
-  }
+  /*
+   * Returns the number of elements in the buffer used to store the tensor.
+   */
+  const vkapi::BufferBindInfo numel_ubo();
 
   inline size_t numel() const {
-    return utils::multiply_integers(sizes());
+    return numel_;
   }
 
   inline size_t nbytes() const {
@@ -310,23 +450,14 @@ class vTensor final {
   /*
    * Returns numel but based on padded_sizes_ instead of sizes_
    */
-  inline size_t gpu_numel() const {
-    return utils::multiply_integers(padded_sizes_);
+  inline size_t padded_numel() const {
+    return padded_numel_;
   }
 
-  /*
-   * Returns the number of texels in the image texture or texel buffer used to
-   * store the tensor's data.
-   */
-  inline int32_t texel_numel() const {
-    return utils::safe_downcast<int32_t>(gpu_numel() / 4);
-  }
+  size_t staging_buffer_numel() const;
 
-  /*
-   * Return nbytes but based on padded_sizes_ instead of sizes_
-   */
-  inline VkDeviceSize gpu_nbytes() const {
-    return element_size(dtype()) * gpu_numel();
+  inline size_t staging_buffer_nbytes() const {
+    return element_size(dtype()) * staging_buffer_numel();
   }
 
   /*
@@ -346,24 +477,49 @@ class vTensor final {
 
  private:
   /*
-   * Update the size metadata of the vTensor to be new sizes. Should not be used
-   * directly, reallocate() or virtual_resize() should be used instead.
+   * Assuming sizes, dim order, or axis mapping was modified, recompute all
+   * derived metadata and update metadata UBO with new values.
    */
-  void update_size_metadata(const std::vector<int64_t>& new_sizes);
+  void update_metadata();
+
+  /*
+   * Check that tensor sizes are valid given the current storage resource's
+   * limits.
+   */
+  void check_sizes(const std::vector<int64_t>& sizes) const;
 
  public:
   /*
-   * Discard the underlying VkImage or VkBuffer and re-allocate based on new
-   * tensor sizes
+   * Change how the tensor should be interpreted by compute shaders via updating
+   * the size and dim order of the tensor. The new sizes and dim order may have
+   * different dimensionality than the current dimensionality of the tensor.
+   *
+   * This function can only be used for buffer-backed tensors, since texture
+   * backed buffers cannot change dimensionality or memory layout.
    */
-  void reallocate(const std::vector<int64_t>& new_sizes);
+  void virtual_reconfigure(
+      const std::vector<int64_t>& new_sizes,
+      const std::vector<int64_t>& new_dim_order);
 
   /*
    * Perform a virtual resize of the vTensor by modifying the size metadata that
    * gets used in compute shaders. This allows the shader to treat the
-   * underlying resource as if it were a different size.
+   * underlying resource as if it were a different size. The new sizes cannot
+   * modify the dimensionality of the tensor.
    */
   void virtual_resize(const std::vector<int64_t>& new_sizes);
+
+  /*
+   * Transpose the tensor in-place by updating its metadata.
+   */
+  void virtual_transpose(const int64_t dim0, const int64_t dim1);
+
+  /*
+   * Check if this vTensor instance is a view of another vTensor instance
+   */
+  inline bool is_view_of(const vTensor& other) const {
+    return storage_.is_copy_of(other.storage_);
+  }
 };
 
 } // namespace api
diff --git a/backends/vulkan/runtime/gen_vulkan_spv.py b/backends/vulkan/runtime/gen_vulkan_spv.py
index c734ed395e..6ee29d45f1 100644
--- a/backends/vulkan/runtime/gen_vulkan_spv.py
+++ b/backends/vulkan/runtime/gen_vulkan_spv.py
@@ -38,6 +38,10 @@
 # Basic configuration settings for shaders
 DEFAULT_ENV: Dict[str, Any] = {
     "PRECISION": "highp",
+    # B is shorthand for "binding". This is used to automatically increment the
+    # layout binding index when declaring layout bindings. Note that a container
+    # type is used because integers are immutable in Python.
+    "B": [0],
 }
 
 # Establishes relationships between different tensor types and different GLSL types
@@ -179,8 +183,14 @@ def get_access_qualifier(access_type: Optional[str]) -> str:
     raise AssertionError(f"Invalid access type: {access_type}")
 
 
+def get_slot_val(slot: Union[int, List[int]]) -> int:
+    if isinstance(slot, list):
+        return slot[0]
+    return slot
+
+
 def layout_declare_buffer(
-    slot: int,
+    slot: Union[int, List[int]],
     access_type: str,
     var_name: str,
     dtype: str,
@@ -192,15 +202,18 @@ def layout_declare_buffer(
         array_type = buffer_scalar_type(dtype)
 
     out_str = f"""
-layout(set = 0, binding = {slot}) buffer {precision} restrict {get_access_qualifier(access_type)} {var_name}Buffer {{
+layout(set = 0, binding = {get_slot_val(slot)}) buffer {precision} restrict {get_access_qualifier(access_type)} {var_name}Buffer {{
     {array_type} {var_name}[];
 }};
 """
+
+    if isinstance(slot, list):
+        slot[0] = slot[0] + 1
     return out_str
 
 
 def layout_declare_image(
-    slot: int,
+    slot: Union[int, List[int]],
     access_type: str,
     var_name: str,
     dtype: str,
@@ -209,11 +222,16 @@ def layout_declare_image(
 ) -> str:
     image_format = TYPE_MAPPINGS["IMAGE_FORMAT"][dtype]
     image_type = TYPE_MAPPINGS["IMAGE_T"][image_ndim][dtype]
-    return f"layout(set = 0, binding = {slot}, {image_format}) uniform {precision} restrict {get_access_qualifier(access_type)} {image_type} {var_name};"
+
+    ret_str = f"layout(set = 0, binding = {get_slot_val(slot)}, {image_format}) uniform {precision} restrict {get_access_qualifier(access_type)} {image_type} {var_name};"
+
+    if isinstance(slot, list):
+        slot[0] = slot[0] + 1
+    return ret_str
 
 
 def layout_declare_sampler(
-    slot: int,
+    slot: Union[int, List[int]],
     access_type: str,
     var_name: str,
     dtype: str,
@@ -222,16 +240,21 @@ def layout_declare_sampler(
     image_ndim: int = 3,
 ) -> str:
     sampler_type = TYPE_MAPPINGS["SAMPLER_T"][image_ndim][dtype]
-    return f"layout(set = 0, binding = {slot}) uniform {precision} {sampler_type} {var_name};"
+
+    ret_str = f"layout(set = 0, binding = {get_slot_val(slot)}) uniform {precision} {sampler_type} {var_name};"
+
+    if isinstance(slot, list):
+        slot[0] = slot[0] + 1
+    return ret_str
 
 
 def layout_declare_tensor(
-    slot: int,
+    slot: Union[int, List[int]],
     access_type: str,
     var_name: str,
     dtype: str,
     storage_type: str,
-    is_scalar_array: bool = False,
+    is_scalar_array: bool = True,
     precision: str = "PRECISION",
 ) -> str:
     assert storage_type.lower() in ["buffer", "texture3d", "texture2d"]
@@ -262,7 +285,9 @@ def layout_declare_tensor(
         )
 
 
-def layout_declare_ubo(slot: int, *args, precision: str = "PRECISION") -> str:
+def layout_declare_ubo(
+    slot: Union[int, List[int]], *args, precision: str = "PRECISION"
+) -> str:
     assert len(args) % 2 == 0
 
     var_list = list(zip(args[::2], args[1::2]))
@@ -272,12 +297,14 @@ def layout_declare_ubo(slot: int, *args, precision: str = "PRECISION") -> str:
         ubo_name += var_name + "_"
 
     out_str = f"""
-layout(set = 0, binding = {slot}) uniform {precision} restrict readonly {ubo_name}UBO {{
+layout(set = 0, binding = {get_slot_val(slot)}) uniform {precision} restrict readonly {ubo_name}UBO {{
 """
     for type_name, var_name in var_list:
         out_str += f"{type_name} {var_name};\n"
     out_str += "};"
 
+    if isinstance(slot, list):
+        slot[0] = slot[0] + 1
     return out_str
 
 
diff --git a/backends/vulkan/runtime/graph/ComputeGraph.cpp b/backends/vulkan/runtime/graph/ComputeGraph.cpp
index 2046e78e88..e5028082ff 100644
--- a/backends/vulkan/runtime/graph/ComputeGraph.cpp
+++ b/backends/vulkan/runtime/graph/ComputeGraph.cpp
@@ -38,14 +38,81 @@ namespace vkcompute {
 
 VALUE_PTR_CLASS_IMPL(vTensorPtr, api::vTensor, Tensor)
 VALUE_PTR_CLASS_IMPL(TensorRefPtr, TensorRef, TensorRef)
-VALUE_PTR_CLASS_IMPL(StagingPtr, api::StorageBuffer, Staging)
+VALUE_PTR_CLASS_IMPL(StagingPtr, api::StagingBuffer, Staging)
 VALUE_PTR_CLASS_IMPL(IntListPtr, std::vector<int64_t>, IntList)
 VALUE_PTR_CLASS_IMPL(DoubleListPtr, std::vector<double>, DoubleList)
 VALUE_PTR_CLASS_IMPL(BoolListPtr, std::vector<bool>, BoolList)
 VALUE_PTR_CLASS_IMPL(ValueListPtr, std::vector<ValueRef>, ValueList)
+VALUE_PTR_CLASS_IMPL(SymIntPtr, SymInt, SymInt)
 
 #undef VALUE_PTR_CLASS_IMPL
 
+//
+// TmpTensor
+//
+
+TmpTensor::TmpTensor(
+    ComputeGraph* const graph_ptr,
+    const std::vector<int64_t>& sizes,
+    const vkapi::ScalarType dtype,
+    const utils::StorageType storage_type,
+    const utils::GPUMemoryLayout memory_layout)
+    : graph_p(graph_ptr),
+      sobj_idx(get_sobj_idx()),
+      vref(graph_p->add_tensor(
+          sizes,
+          dtype,
+          storage_type,
+          memory_layout,
+          sobj_idx)) {}
+
+TmpTensor::TmpTensor(
+    ComputeGraph* const graph_ptr,
+    const std::vector<int64_t>& sizes,
+    const vkapi::ScalarType dtype,
+    const utils::StorageType storage_type)
+    : graph_p(graph_ptr),
+      sobj_idx(get_sobj_idx()),
+      vref(graph_p->add_tensor(sizes, dtype, storage_type, sobj_idx)) {}
+
+TmpTensor::TmpTensor(
+    ComputeGraph* const graph_ptr,
+    const std::vector<int64_t>& sizes,
+    const vkapi::ScalarType dtype,
+    const utils::GPUMemoryLayout memory_layout)
+    : graph_p(graph_ptr),
+      sobj_idx(get_sobj_idx()),
+      vref(graph_p->add_tensor(sizes, dtype, memory_layout, sobj_idx)) {}
+
+TmpTensor::TmpTensor(
+    ComputeGraph* const graph_ptr,
+    const std::vector<int64_t>& sizes,
+    const vkapi::ScalarType dtype)
+    : graph_p(graph_ptr),
+      sobj_idx(get_sobj_idx()),
+      vref(graph_p->add_tensor(sizes, dtype, sobj_idx)) {}
+
+TmpTensor::~TmpTensor() {
+  // Lifetime of this temporary tensor is expired; return the shared object to
+  // the pool, as long as the sobj index is valid
+  if (sobj_idx >= 0) {
+    graph_p->tmp_shared_object_idxs_.emplace(sobj_idx);
+  }
+}
+
+int64_t TmpTensor::get_sobj_idx() {
+  int64_t sobj_idx;
+  // If no available temporary shared objects, request a new one to be created
+  if (graph_p->tmp_shared_object_idxs_.empty()) {
+    sobj_idx = graph_p->shared_objects_.size();
+  } else {
+    // Get the first available shared object idx
+    sobj_idx = graph_p->tmp_shared_object_idxs_.top();
+    graph_p->tmp_shared_object_idxs_.pop();
+  }
+  return sobj_idx;
+}
+
 //
 // ComputeGraph
 //
@@ -203,6 +270,24 @@ ValueRef ComputeGraph::add_tensor(
       sizes, dtype, suggested_memory_layout(sizes), shared_object_idx);
 }
 
+ValueRef ComputeGraph::add_tensor_view(const ValueRef vref) {
+  const vTensorPtr t = get_tensor(vref);
+  ValueRef idx(static_cast<int>(values_.size()));
+  values_.emplace_back(api::vTensor(*t));
+  return idx;
+}
+
+ValueRef ComputeGraph::add_tensor_view(
+    const ValueRef vref,
+    const std::vector<int64_t>& sizes,
+    const std::vector<int64_t>& strides,
+    const size_t offset_numel) {
+  const vTensorPtr t = get_tensor(vref);
+  ValueRef idx(static_cast<int>(values_.size()));
+  values_.emplace_back(api::vTensor(*t, sizes, strides, offset_numel));
+  return idx;
+}
+
 ValueRef ComputeGraph::add_tensorref(
     const std::vector<int64_t>& sizes,
     const vkapi::ScalarType dtype,
@@ -218,7 +303,7 @@ ValueRef ComputeGraph::add_staging(
     const size_t numel) {
   ValueRef idx(static_cast<int>(values_.size()));
   check_no_active_value_ptrs();
-  values_.emplace_back(api::StorageBuffer(context(), dtype, numel));
+  values_.emplace_back(api::StagingBuffer(context(), dtype, numel));
   return idx;
 }
 
@@ -243,13 +328,22 @@ ValueRef ComputeGraph::add_string(std::string&& str) {
   return idx;
 }
 
+ValueRef ComputeGraph::add_symint(const int32_t val) {
+  ValueRef idx(static_cast<int>(values_.size()));
+  check_no_active_value_ptrs();
+  values_.emplace_back(SymInt(context(), val));
+  return idx;
+}
+
 ValueRef ComputeGraph::set_input_tensor(
     const ValueRef idx,
     const bool use_staging) {
   if (use_staging) {
     vkapi::ScalarType dtype = get_tensor(idx)->dtype();
-    size_t gpu_numel = get_tensor(idx)->gpu_numel();
-    ValueRef staging_idx = add_staging(dtype, gpu_numel);
+    // For texture storage, the buffer size needs to account for the zero
+    // padding applied by unused texel elements.
+    size_t buf_numel = get_tensor(idx)->staging_buffer_numel();
+    ValueRef staging_idx = add_staging(dtype, buf_numel);
     add_staging_to_tensor_node(*this, staging_idx, idx);
     inputs_.push_back({idx, staging_idx});
     return staging_idx;
@@ -263,12 +357,14 @@ ValueRef ComputeGraph::set_output_tensor(
     const bool use_staging) {
   if (use_staging) {
     vkapi::ScalarType dtype = get_tensor(idx)->dtype();
-    size_t gpu_numel = get_tensor(idx)->gpu_numel();
-    ValueRef staging_idx = add_staging(dtype, gpu_numel);
+    // For texture storage, the buffer size needs to account for the zero
+    // padding applied by unused texel elements.
+    size_t buf_numel = get_tensor(idx)->staging_buffer_numel();
+    ValueRef staging_idx = add_staging(dtype, buf_numel);
     // We only run this when the tensor is non-empty.  When the underlying
-    // tensor is empty (e.g. gpu_numel == 0), we do not allocate a VkImage to
+    // tensor is empty (e.g. padded_numel == 0), we do not allocate a VkImage to
     // tensor, we will not be able to bind the node for execution.
-    if (gpu_numel > 0) {
+    if (buf_numel > 0) {
       add_tensor_to_staging_node(*this, idx, staging_idx);
     }
     outputs_.push_back({idx, staging_idx});
@@ -278,6 +374,22 @@ ValueRef ComputeGraph::set_output_tensor(
   return idx;
 }
 
+vkapi::BufferBindInfo ComputeGraph::get_or_create_int_param_buffer(
+    const ValueRef idx) {
+  if (values_.at(idx).isInt()) {
+    const int32_t val = extract_scalar<int32_t>(idx);
+    create_params_buffer(val);
+  } else if (values_.at(idx).isSymInt()) {
+    SymIntPtr symint = get_symint(idx);
+    return vkapi::BufferBindInfo(symint->gpu_buffer.buffer());
+  }
+  VK_THROW("Cannot create a int param buffer for the given value");
+}
+
+void ComputeGraph::set_symint(const ValueRef idx, const int32_t val) {
+  get_symint(idx)->set(val);
+}
+
 SharedObject& ComputeGraph::get_shared_object(const int64_t idx) {
   if (idx >= shared_objects_.size()) {
     shared_objects_.resize(static_cast<size_t>(idx + 1));
@@ -314,48 +426,48 @@ void ComputeGraph::update_descriptor_counts(
 
 utils::uvec3 ComputeGraph::create_global_wg_size(const ValueRef idx) {
   if (is_buffer_storage(idx)) {
-    return {uint32_t(texel_numel_of(idx)), 1u, 1u};
+    return {uint32_t(numel_of(idx)), 1u, 1u};
   }
-  return image_extents_of(idx);
+  return logical_limits_of(idx);
 }
 
-utils::uvec3 ComputeGraph::create_local_wg_size(const ValueRef idx) {
+utils::uvec3 ComputeGraph::create_local_wg_size(
+    const utils::uvec3 global_wg_size) {
   if (config_.enable_local_wg_size_override) {
     return config_.local_wg_size_override;
   }
 
-  if (is_buffer_storage(idx)) {
-    return {64u, 1u, 1u};
-  }
-
-  const utils::uvec3 image_extents = image_extents_of(idx);
   utils::uvec3 local_group_size = {4, 4, 4};
 
-  if (image_extents.data[2u] == 1) {
-    if (image_extents.data[1u] == 1) {
-      local_group_size.data[0u] = 64;
-      local_group_size.data[1u] = 1;
-      local_group_size.data[2u] = 1;
-    } else if (image_extents.data[1u] < 8) {
-      local_group_size.data[0u] = 16;
-      local_group_size.data[1u] = 4;
-      local_group_size.data[2u] = 1;
+  if (global_wg_size[2u] == 1) {
+    if (global_wg_size[1u] == 1) {
+      local_group_size[0u] = 64;
+      local_group_size[1u] = 1;
+      local_group_size[2u] = 1;
+    } else if (global_wg_size[1u] < 8) {
+      local_group_size[0u] = 16;
+      local_group_size[1u] = 4;
+      local_group_size[2u] = 1;
     } else {
-      local_group_size.data[0u] = 8;
-      local_group_size.data[1u] = 8;
-      local_group_size.data[2u] = 1;
+      local_group_size[0u] = 8;
+      local_group_size[1u] = 8;
+      local_group_size[2u] = 1;
     }
   }
   return local_group_size;
 }
 
+utils::uvec3 ComputeGraph::create_local_wg_size(const ValueRef idx) {
+  return create_local_wg_size(create_global_wg_size(idx));
+}
+
 void ComputeGraph::copy_into_staging(
     const ValueRef idx,
     const void* data,
     const size_t numel) {
   StagingPtr staging = get_staging(idx);
   size_t nbytes = numel * vkapi::element_size(staging->dtype());
-  copy_ptr_to_staging(data, *staging, nbytes);
+  staging->copy_from(data, nbytes);
 }
 
 void ComputeGraph::copy_from_staging(
@@ -364,7 +476,7 @@ void ComputeGraph::copy_from_staging(
     const size_t numel) {
   StagingPtr staging = get_staging(idx);
   size_t nbytes = numel * vkapi::element_size(staging->dtype());
-  copy_staging_to_ptr(*staging, data, nbytes);
+  staging->copy_to(data, nbytes);
 }
 
 void ComputeGraph::prepare() {
diff --git a/backends/vulkan/runtime/graph/ComputeGraph.h b/backends/vulkan/runtime/graph/ComputeGraph.h
index 5237a7746d..2e550340ac 100644
--- a/backends/vulkan/runtime/graph/ComputeGraph.h
+++ b/backends/vulkan/runtime/graph/ComputeGraph.h
@@ -11,6 +11,7 @@
 // @lint-ignore-every CLANGTIDY facebook-hte-BadMemberName
 
 #include <optional>
+#include <stack>
 
 #include <executorch/backends/vulkan/runtime/api/api.h>
 
@@ -58,14 +59,88 @@ class ComputeGraph;
 
 DECL_VALUE_PTR_CLASS(vTensorPtr, api::vTensor)
 DECL_VALUE_PTR_CLASS(TensorRefPtr, TensorRef)
-DECL_VALUE_PTR_CLASS(StagingPtr, api::StorageBuffer)
+DECL_VALUE_PTR_CLASS(StagingPtr, api::StagingBuffer)
 DECL_VALUE_PTR_CLASS(IntListPtr, std::vector<int64_t>)
 DECL_VALUE_PTR_CLASS(DoubleListPtr, std::vector<double>)
 DECL_VALUE_PTR_CLASS(BoolListPtr, std::vector<bool>)
 DECL_VALUE_PTR_CLASS(ValueListPtr, std::vector<ValueRef>)
+DECL_VALUE_PTR_CLASS(SymIntPtr, SymInt);
 
 #undef DECL_VALUE_PTR_CLASS
 
+//
+// TmpTensor
+//
+
+/*
+ * This struct is used to recycle the memory of temporary tensors that are
+ * created during the execution of a node. Upon construction, this struct will
+ * check the `tmp_shared_object_idxs_` of the provided `ComputeGraph` instance
+ * if any shared objects are available; if not, then a new one is created. A
+ * tensor value is then added to the `ComputeGraph` instance with the requested
+ * specifications. Upon destruction, the shared object index of the temporary
+ * tensor is returned to `tmp_shared_object_idxs_`.
+ *
+ * Note that instances of this struct can be used as if they were `ValueRef` due
+ * to implementation of a custom casting operator.
+ *
+ * This class should only be used to create tensors whose lifetimes exist only
+ * in a well defined scope (i.e. within a function).
+ */
+struct TmpTensor {
+  ComputeGraph* graph_p;
+  int64_t sobj_idx;
+  ValueRef vref;
+
+  //
+  // Match all available overloads of `add_tensor`
+  //
+
+  TmpTensor(
+      ComputeGraph* const graph_ptr,
+      const std::vector<int64_t>& sizes,
+      const vkapi::ScalarType dtype,
+      const utils::StorageType storage_type,
+      const utils::GPUMemoryLayout memory_layout);
+
+  TmpTensor(
+      ComputeGraph* const graph_ptr,
+      const std::vector<int64_t>& sizes,
+      const vkapi::ScalarType dtype,
+      const utils::StorageType storage_type);
+
+  TmpTensor(
+      ComputeGraph* const graph_ptr,
+      const std::vector<int64_t>& sizes,
+      const vkapi::ScalarType dtype,
+      const utils::GPUMemoryLayout memory_layout);
+
+  TmpTensor(
+      ComputeGraph* const graph_ptr,
+      const std::vector<int64_t>& sizes,
+      const vkapi::ScalarType dtype);
+
+  // No copy construction or assignment
+  TmpTensor(TmpTensor& other) = delete;
+  TmpTensor& operator=(TmpTensor& other) = delete;
+
+  // No move construction or assignment
+  TmpTensor(TmpTensor&& other) = delete;
+  TmpTensor& operator=(TmpTensor&& other) = delete;
+
+  // Custom cast to ValueRef
+  operator ValueRef() const {
+    return vref;
+  };
+
+  ~TmpTensor();
+
+ private:
+  // Helper function to get first available shared object index or request a new
+  // one to be created.
+  int64_t get_sobj_idx();
+};
+
 //
 // ComputeGraph
 //
@@ -93,7 +168,12 @@ class ComputeGraph final {
   vkapi::DescriptorPoolConfig execute_descriptor_counts_;
 
   std::unique_ptr<api::Context> context_;
+
   std::vector<SharedObject> shared_objects_;
+  // This stack is used by `TmpTensor` instances to recycle shared objects
+  // for temporary tensors. See the comments of `TmpTensor` for more details
+  std::stack<int64_t> tmp_shared_object_idxs_;
+
   std::vector<Value> values_;
   std::vector<api::ParamsBuffer> param_ubos_;
 
@@ -154,6 +234,7 @@ class ComputeGraph final {
   GET_AND_CHECK_VAL_AS_PTR_TYPE_FNS(DoubleListPtr, double_list, DoubleList)
   GET_AND_CHECK_VAL_AS_PTR_TYPE_FNS(BoolListPtr, bool_list, BoolList)
   GET_AND_CHECK_VAL_AS_PTR_TYPE_FNS(ValueListPtr, value_list, ValueList)
+  GET_AND_CHECK_VAL_AS_PTR_TYPE_FNS(SymIntPtr, symint, SymInt);
 
 #undef GET_AND_CHECK_VAL_AS_PTR_TYPE_FNS
 
@@ -180,18 +261,35 @@ class ComputeGraph final {
     return values_.at(idx).type();
   }
 
-  // Get Tensor Property
+  //
+  // Tensor Properties Accessors
+  //
 
   std::vector<int64_t> sizes_of(const ValueRef idx) const;
 
+  /*
+   * Returns the size of the tensor at `idx` along the specified dimension.
+   * Negative indexing is allowed.
+   */
+  template <typename T>
+  T size_at(const int64_t dim, const ValueRef idx) const {
+    const Value& val = values_.at(idx);
+    if (val.isTensor()) {
+      return static_cast<T>(utils::val_at(dim, val.toConstTensor().sizes()));
+    } else if (val.isTensorRef()) {
+      return static_cast<T>(utils::val_at(dim, val.toConstTensorRef().sizes));
+    }
+    VK_THROW("Could not get sizes of value with type ", val.type());
+  }
+
   vkapi::ScalarType dtype_of(const ValueRef idx) const;
 
-  inline utils::uvec3 image_extents_of(const ValueRef idx) const {
-    return values_.at(idx).toConstTensor().image_extents();
+  inline const utils::ivec3& logical_limits_of(const ValueRef idx) const {
+    return values_.at(idx).toConstTensor().logical_limits();
   }
 
-  inline int32_t texel_numel_of(const ValueRef idx) const {
-    return values_.at(idx).toConstTensor().texel_numel();
+  inline int32_t numel_of(const ValueRef idx) const {
+    return values_.at(idx).toConstTensor().numel();
   }
 
   inline utils::StorageType storage_type_of(const ValueRef idx) const {
@@ -202,6 +300,13 @@ class ComputeGraph final {
     return values_.at(idx).toConstTensor().has_buffer_storage();
   }
 
+  inline bool val_is_view_of(const ValueRef maybe_view, const ValueRef base)
+      const {
+    return values_.at(maybe_view)
+        .toConstTensor()
+        .is_view_of(values_.at(base).toConstTensor());
+  }
+
   inline utils::GPUMemoryLayout memory_layout_of(const ValueRef idx) const {
     return values_.at(idx).toConstTensor().gpu_memory_layout();
   }
@@ -214,19 +319,25 @@ class ComputeGraph final {
     return values_.at(idx).toTensor().sizes_ubo();
   }
 
-  inline vkapi::BufferBindInfo texture_limits_ubo(const ValueRef idx) {
-    return values_.at(idx).toTensor().texture_limits_ubo();
+  inline vkapi::BufferBindInfo strides_ubo(const ValueRef idx) {
+    return values_.at(idx).toTensor().strides_ubo();
   }
 
-  inline vkapi::BufferBindInfo texel_strides_ubo(const ValueRef idx) {
-    return values_.at(idx).toTensor().texel_strides_ubo();
+  inline vkapi::BufferBindInfo numel_ubo(const ValueRef idx) {
+    return values_.at(idx).toTensor().numel_ubo();
   }
 
-  inline vkapi::BufferBindInfo ntexels_ubo(const ValueRef idx) {
-    return values_.at(idx).toTensor().ntexels_ubo();
+  inline vkapi::BufferBindInfo axis_map_ubo(const ValueRef idx) {
+    return values_.at(idx).toTensor().axis_map_ubo();
   }
 
+  inline vkapi::BufferBindInfo logical_limits_ubo(const ValueRef idx) {
+    return values_.at(idx).toTensor().logical_limits_ubo();
+  }
+
+  //
   // Scalar Value Extraction
+  //
 
   template <typename T>
   T extract_scalar(const ValueRef idx) {
@@ -347,6 +458,24 @@ class ComputeGraph final {
       const ValueRef vref,
       const utils::GPUMemoryLayout memory_layout);
 
+  /*
+   * Use the copy constructor of `api::vTensor` to create a "view" of the
+   * `vTensor` value at `vref`. See the copy constructor of `api::vTensor` for
+   * more details.
+   */
+  ValueRef add_tensor_view(const ValueRef vref);
+
+  /*
+   * Use the copy constructor of `api::vTensor` to create a "view" of the
+   * `vTensor` value at `vref` with different sizes and dim order. See the copy
+   * constructor of `api::vTensor` for more details.
+   */
+  ValueRef add_tensor_view(
+      const ValueRef vref,
+      const std::vector<int64_t>& sizes,
+      const std::vector<int64_t>& dim_order,
+      const size_t offset_numel = 0);
+
   /*
    * Add a `TensorRef` value to the graph with the specific properties. A
    * `TensorRef` is a reference to a `api::vTensor` whose data is stored in an
@@ -378,15 +507,28 @@ class ComputeGraph final {
 
   ValueRef add_string(std::string&& str);
 
+  ValueRef add_symint(const int32_t val);
+
   ValueRef set_input_tensor(const ValueRef idx, const bool use_staging = true);
   ValueRef set_output_tensor(const ValueRef idx, const bool use_staging = true);
 
   template <typename Block>
-  const vkapi::BufferBindInfo create_params_buffer(const Block& data) {
+  vkapi::BufferBindInfo create_params_buffer(const Block& data) {
     param_ubos_.emplace_back(api::ParamsBuffer(context_.get(), data));
     return vkapi::BufferBindInfo(param_ubos_.back().buffer());
   }
 
+  /*
+   * Given a ValueRef, do the following depending on the type of the Value:
+   * - If it is a SymInt, return the BufferBindInfo of the ParamsBuffer object
+   *   backing the SymInt.
+   * - If it is a regular Int, create a new ParamsBuffer using the integer value
+   *   and return the BufferBindInfo of the created ParamsBuffer.
+   */
+  vkapi::BufferBindInfo get_or_create_int_param_buffer(const ValueRef idx);
+
+  void set_symint(const ValueRef idx, const int32_t val);
+
   /*
    * Convenience function to add an input tensor along with its staging buffer
    */
@@ -459,9 +601,7 @@ class ComputeGraph final {
   utils::uvec3 create_global_wg_size(const ValueRef idx);
 
   /*
-   * Suggest a local workgroup size for a given `api::vTensor` value, assuming
-   * that every shader invocation calculates one texel element of the output
-   * tensor.
+   * Suggest a local workgroup size for a given global workgroup size.
    *
    * The local workgroup size will be formed to try and minimize the number of
    * inactive invocations.
@@ -469,6 +609,13 @@ class ComputeGraph final {
    * Currently, the local workgroup size is hard-coded to contain a total of 64
    * shader invocations. In the future, this value can be configured.
    */
+  utils::uvec3 create_local_wg_size(const utils::uvec3 global_wg_size);
+
+  /*
+   * Convenience function to suggest a local workgroup size for a given
+   * `api::vTensor` value, assuming that every shader invocation calculates one
+   * texel element of the output tensor.
+   */
   utils::uvec3 create_local_wg_size(const ValueRef idx);
 
   //
@@ -500,6 +647,17 @@ class ComputeGraph final {
   void resize_input(const int64_t idx, const std::vector<int64_t>& new_sizes);
   void propagate_resize();
 
+  //
+  // Miscellaneous Utilities
+  //
+
+  /*
+   * Check whether the GPU supports 8 bit buffers.
+   */
+  inline bool int8_buffers_enabled() const {
+    return context_->adapter_ptr()->has_full_int8_buffers_support();
+  }
+
   //
   // Debug support (implemented in Logging.cpp)
   //
@@ -517,6 +675,9 @@ class ComputeGraph final {
   friend class DoubleListPtr;
   friend class BoolListPtr;
   friend class ValueListPtr;
+  friend class SymIntPtr;
+
+  friend struct TmpTensor;
 };
 
 template <typename T>
diff --git a/backends/vulkan/runtime/graph/Logging.cpp b/backends/vulkan/runtime/graph/Logging.cpp
index 2e4833bfc6..e05fa4e487 100644
--- a/backends/vulkan/runtime/graph/Logging.cpp
+++ b/backends/vulkan/runtime/graph/Logging.cpp
@@ -71,8 +71,8 @@ void ComputeGraph::print_readable() {
             << std::setfill(' ') << std::endl;
 
   std::cout << std::setw(6) << "idx" << std::setw(10) << "type" << std::setw(20)
-            << "sizes" << std::setw(10) << "node_type" << std::setw(10)
-            << "so_idx" << std::endl;
+            << "sizes" << std::setw(10) << "node_type" << std::setw(15)
+            << "storage_bytes" << std::setw(10) << "so_idx" << std::endl;
 
   size_t value_idx = 0;
   for (Value& val : values_) {
@@ -108,6 +108,16 @@ void ComputeGraph::print_readable() {
       }
     }
 
+    // Actual storage bytes used
+    std::cout << std::setw(15);
+    if (val.isTensor()) {
+      const api::vTensor& v_tensor = val.toTensor();
+      auto memory_reqs = v_tensor.get_memory_requirements();
+      std::cout << memory_reqs.size;
+    } else {
+      std::cout << "";
+    }
+
     std::cout << std::setw(10);
     if (value_ref_to_shared_object_idx.count(value_idx) > 0) {
       size_t shared_obj_idx = value_ref_to_shared_object_idx.at(value_idx);
diff --git a/backends/vulkan/runtime/graph/containers/SharedObject.cpp b/backends/vulkan/runtime/graph/containers/SharedObject.cpp
index 0d8b77a5b7..f2474da667 100644
--- a/backends/vulkan/runtime/graph/containers/SharedObject.cpp
+++ b/backends/vulkan/runtime/graph/containers/SharedObject.cpp
@@ -15,10 +15,7 @@ namespace vkcompute {
 void SharedObject::add_user(ComputeGraph* const graph, const ValueRef idx) {
   vTensorPtr t = graph->get_tensor(idx);
 
-  //
   // Aggregate Memory Requirements
-  //
-
   const VkMemoryRequirements mem_reqs = t->get_memory_requirements();
   aggregate_memory_requirements.size =
       std::max(mem_reqs.size, aggregate_memory_requirements.size);
@@ -26,27 +23,6 @@ void SharedObject::add_user(ComputeGraph* const graph, const ValueRef idx) {
       std::max(mem_reqs.alignment, aggregate_memory_requirements.alignment);
   aggregate_memory_requirements.memoryTypeBits |= mem_reqs.memoryTypeBits;
 
-  //
-  // Aggregate Allocation Create Info
-  //
-
-  const VmaAllocationCreateInfo create_info = t->get_allocation_create_info();
-  // Clear out CREATE_STRATEGY bit flags in case of conflict
-  VmaAllocationCreateFlags clear_mask = ~VMA_ALLOCATION_CREATE_STRATEGY_MASK;
-  VmaAllocationCreateFlags create_flags = create_info.flags & clear_mask;
-  // Use the default allocation strategy
-  aggregate_create_info.flags =
-      create_flags | vkapi::DEFAULT_ALLOCATION_STRATEGY;
-
-  // Set the usage flag if it is currently not set
-  if (aggregate_create_info.usage == VMA_MEMORY_USAGE_UNKNOWN) {
-    aggregate_create_info.usage = create_info.usage;
-  }
-  // Otherwise check that there is no conflict regarding usage
-  VK_CHECK_COND(aggregate_create_info.usage == create_info.usage);
-  aggregate_create_info.requiredFlags |= create_info.requiredFlags;
-  aggregate_create_info.preferredFlags |= create_info.preferredFlags;
-
   users.emplace_back(idx);
 }
 
@@ -54,8 +30,12 @@ void SharedObject::allocate(ComputeGraph* const graph) {
   if (aggregate_memory_requirements.size == 0) {
     return;
   }
+
+  VmaAllocationCreateInfo alloc_create_info =
+      graph->context()->adapter_ptr()->vma().gpuonly_resource_create_info();
+
   allocation = graph->context()->adapter_ptr()->vma().create_allocation(
-      aggregate_memory_requirements, aggregate_create_info);
+      aggregate_memory_requirements, alloc_create_info);
 }
 
 void SharedObject::bind_users(ComputeGraph* const graph) {
diff --git a/backends/vulkan/runtime/graph/containers/SharedObject.h b/backends/vulkan/runtime/graph/containers/SharedObject.h
index 37e80257f4..bd77f6f39b 100644
--- a/backends/vulkan/runtime/graph/containers/SharedObject.h
+++ b/backends/vulkan/runtime/graph/containers/SharedObject.h
@@ -28,7 +28,6 @@ struct SharedObject {
   explicit SharedObject() = default;
 
   VkMemoryRequirements aggregate_memory_requirements;
-  VmaAllocationCreateInfo aggregate_create_info;
   std::vector<ValueRef> users;
   vkapi::Allocation allocation;
 
diff --git a/backends/vulkan/runtime/graph/containers/SymInt.cpp b/backends/vulkan/runtime/graph/containers/SymInt.cpp
new file mode 100644
index 0000000000..c91db84b78
--- /dev/null
+++ b/backends/vulkan/runtime/graph/containers/SymInt.cpp
@@ -0,0 +1,24 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/backends/vulkan/runtime/graph/containers/SymInt.h>
+
+namespace vkcompute {
+
+SymInt::SymInt(api::Context* context_p, const int32_t val)
+    : gpu_buffer(context_p, val){};
+
+void SymInt::set(const int32_t val) {
+  gpu_buffer.update(val);
+}
+
+void SymInt::operator=(const int32_t val) {
+  gpu_buffer.update(val);
+}
+
+} // namespace vkcompute
diff --git a/backends/vulkan/runtime/graph/containers/SymInt.h b/backends/vulkan/runtime/graph/containers/SymInt.h
new file mode 100644
index 0000000000..0c9fbee5fe
--- /dev/null
+++ b/backends/vulkan/runtime/graph/containers/SymInt.h
@@ -0,0 +1,41 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <executorch/backends/vulkan/runtime/api/Context.h>
+#include <executorch/backends/vulkan/runtime/api/containers/ParamsBuffer.h>
+
+namespace vkcompute {
+
+/*
+ * Represents a symbolic integer whose value can be variable. It is implemented
+ * as a thin wrapper around a `ParamsBuffer` object that holds the value of the
+ * integer. The `ParamsBuffer` object allows the value of the symbolic integer
+ * to be changed from the CPU and have those changes be visible to all shaders
+ * that use the symbolic integer; it also allows the value of the symbolic
+ * integer to be the result of a compute shader.
+ *
+ * Regular scalar types represented by `TypeTag::INT` cannot be used for
+ * symbolic integers because their value is assumed to be constant; therefore
+ * the `Value` instance holding the value of the scalar does not contain
+ * any reference to the GPU buffers used to pass its value into compute shaders.
+ * Therefore, updating the value of the scalar does not impact the value seen
+ * by compute shaders.
+ */
+struct SymInt final {
+  api::ParamsBuffer gpu_buffer;
+
+  explicit SymInt(api::Context* context_p, const int32_t val);
+
+  void set(const int32_t val);
+
+  void operator=(const int32_t val);
+};
+
+} // namespace vkcompute
diff --git a/backends/vulkan/runtime/graph/containers/Types.cpp b/backends/vulkan/runtime/graph/containers/Types.cpp
index c5ffc65add..e7a8951a55 100644
--- a/backends/vulkan/runtime/graph/containers/Types.cpp
+++ b/backends/vulkan/runtime/graph/containers/Types.cpp
@@ -29,6 +29,7 @@ std::ostream& operator<<(std::ostream& out, const TypeTag& tag) {
     PRINT_CASE(BOOLLIST)
     PRINT_CASE(VALUELIST)
     PRINT_CASE(STRING)
+    PRINT_CASE(SYMINT)
   }
   return out;
 }
diff --git a/backends/vulkan/runtime/graph/containers/Types.h b/backends/vulkan/runtime/graph/containers/Types.h
index 79edbd50d3..5840d1695e 100644
--- a/backends/vulkan/runtime/graph/containers/Types.h
+++ b/backends/vulkan/runtime/graph/containers/Types.h
@@ -36,6 +36,7 @@ enum class TypeTag : uint32_t {
   // Special Type
   VALUELIST,
   STRING,
+  SYMINT,
 };
 
 std::ostream& operator<<(std::ostream& out, const TypeTag& tag);
diff --git a/backends/vulkan/runtime/graph/containers/Value.h b/backends/vulkan/runtime/graph/containers/Value.h
index ba82213c6f..8773f0c0b0 100644
--- a/backends/vulkan/runtime/graph/containers/Value.h
+++ b/backends/vulkan/runtime/graph/containers/Value.h
@@ -13,6 +13,7 @@
 #include <executorch/backends/vulkan/runtime/api/api.h>
 
 #include <executorch/backends/vulkan/runtime/graph/containers/Constant.h>
+#include <executorch/backends/vulkan/runtime/graph/containers/SymInt.h>
 #include <executorch/backends/vulkan/runtime/graph/containers/Types.h>
 
 namespace vkcompute {
@@ -28,6 +29,11 @@ inline bool is_valid(ValueRef value_ref) {
 struct IOValueRef {
   ValueRef value;
   ValueRef staging;
+
+  // Custom cast to ValueRef
+  operator ValueRef() const {
+    return value;
+  };
 };
 
 /*
@@ -53,7 +59,7 @@ struct Value final {
     } u;
 
     api::vTensor as_tensor;
-    api::StorageBuffer as_staging;
+    api::StagingBuffer as_staging;
     TensorRef as_tensorref;
 
     std::vector<int64_t> as_int_list;
@@ -67,6 +73,8 @@ struct Value final {
 
     std::string as_string;
 
+    SymInt as_symint;
+
     Payload() : u() {}
     // NOLINTNEXTLINE
     ~Payload(){};
@@ -108,7 +116,7 @@ struct Value final {
       CASE_MOVE_MOVEABLE_TYPE(
           TypeTag::TENSOR, api::vTensor, as_tensor, vTensor);
       CASE_MOVE_MOVEABLE_TYPE(
-          TypeTag::STAGING, api::StorageBuffer, as_staging, StorageBuffer);
+          TypeTag::STAGING, api::StagingBuffer, as_staging, StagingBuffer);
       CASE_MOVE_MOVEABLE_TYPE(
           TypeTag::TENSORREF, TensorRef, as_tensorref, TensorRef);
       // Scalar lists
@@ -123,6 +131,7 @@ struct Value final {
           TypeTag::VALUELIST, std::vector<ValueRef>, as_value_list, vector);
       CASE_MOVE_MOVEABLE_TYPE(
           TypeTag::STRING, std::string, as_string, basic_string);
+      CASE_MOVE_MOVEABLE_TYPE(TypeTag::SYMINT, SymInt, as_symint, SymInt);
 
       case TypeTag::NONE:
         clearToNone();
@@ -152,7 +161,7 @@ struct Value final {
         payload.as_tensor.~vTensor();
         break;
       case TypeTag::STAGING:
-        payload.as_staging.~StorageBuffer();
+        payload.as_staging.~StagingBuffer();
         break;
       case TypeTag::TENSORREF:
         payload.as_tensorref.~TensorRef();
@@ -172,6 +181,9 @@ struct Value final {
       case TypeTag::STRING:
         payload.as_string.~basic_string();
         break;
+      case TypeTag::SYMINT:
+        payload.as_symint.~SymInt();
+        break;
       // Manually list out the types so that if a type here is added later and
       // not handled the compiler can catch it.
       case TypeTag::NONE:
@@ -247,7 +259,7 @@ struct Value final {
       as_tensor);
 
   SUPPORT_TRIVIALLY_MOVEABLE_TYPE(
-      api::StorageBuffer,
+      api::StagingBuffer,
       Staging,
       TypeTag::STAGING,
       as_staging);
@@ -288,6 +300,8 @@ struct Value final {
       TypeTag::STRING,
       as_string);
 
+  SUPPORT_TRIVIALLY_MOVEABLE_TYPE(SymInt, SymInt, TypeTag::SYMINT, as_symint);
+
 #undef SUPPORT_TRIVIALLY_COPYABLE_TYPE
 #undef SUPPORT_TRIVIALLY_MOVEABLE_TYPE
 
diff --git a/backends/vulkan/runtime/graph/ops/ExecuteNode.cpp b/backends/vulkan/runtime/graph/ops/ExecuteNode.cpp
index 3b2a826f87..2cb00ba65a 100644
--- a/backends/vulkan/runtime/graph/ops/ExecuteNode.cpp
+++ b/backends/vulkan/runtime/graph/ops/ExecuteNode.cpp
@@ -35,7 +35,22 @@ ExecuteNode::ExecuteNode(
   graph.update_descriptor_counts(shader, /*execute = */ true);
 }
 
+ExecuteNode::ExecuteNode(
+    const ResizeFunction& resize_fn,
+    const std::vector<ValueRef>& resize_args)
+    : shader_(),
+      global_workgroup_size_({0u, 0u, 0u}),
+      local_workgroup_size_({0u, 0u, 0u}),
+      args_(),
+      params_(),
+      spec_vars_(),
+      resize_fn_(resize_fn),
+      resize_args_(resize_args) {}
+
 void ExecuteNode::encode(ComputeGraph* graph) {
+  if (!shader_) {
+    return;
+  }
   api::Context* const context = graph->context();
   vkapi::PipelineBarrier pipeline_barrier{};
 
diff --git a/backends/vulkan/runtime/graph/ops/ExecuteNode.h b/backends/vulkan/runtime/graph/ops/ExecuteNode.h
index 1fff14e020..dece9ddb50 100644
--- a/backends/vulkan/runtime/graph/ops/ExecuteNode.h
+++ b/backends/vulkan/runtime/graph/ops/ExecuteNode.h
@@ -48,7 +48,7 @@ class ExecuteNode final {
       const std::vector<ArgGroup>&,
       const std::vector<ValueRef>&)>;
 
-  ExecuteNode(
+  explicit ExecuteNode(
       ComputeGraph& graph,
       const vkapi::ShaderInfo& shader,
       const utils::uvec3& global_workgroup_size,
@@ -59,6 +59,15 @@ class ExecuteNode final {
       const ResizeFunction& resize_fn = nullptr,
       const std::vector<ValueRef>& resize_args = {});
 
+  /*
+   * This overload of the ExecuteNode constructor is used to register ops which
+   * update a tensor view. No shader is dispatched, but the node still needs to
+   * update the view's sizes and strides after a resize.
+   */
+  explicit ExecuteNode(
+      const ResizeFunction& resize_fn = nullptr,
+      const std::vector<ValueRef>& resize_args = {});
+
   ~ExecuteNode() = default;
 
   void encode(ComputeGraph* graph);
@@ -83,6 +92,11 @@ class ExecuteNode final {
   const vkapi::SpecVarList spec_vars_;
   const ResizeFunction resize_fn_;
   const std::vector<ValueRef> resize_args_;
+
+ public:
+  operator bool() const {
+    return shader_;
+  }
 };
 
 } // namespace vkcompute
diff --git a/backends/vulkan/runtime/graph/ops/PrepackNode.cpp b/backends/vulkan/runtime/graph/ops/PrepackNode.cpp
index b77c62920d..61b24cd409 100644
--- a/backends/vulkan/runtime/graph/ops/PrepackNode.cpp
+++ b/backends/vulkan/runtime/graph/ops/PrepackNode.cpp
@@ -45,24 +45,23 @@ PrepackNode::PrepackNode(
   graph.update_descriptor_counts(noop_shader_, /*execute = */ false);
 }
 
-api::StorageBuffer PrepackNode::create_staging_buffer(ComputeGraph* graph) {
+api::StagingBuffer PrepackNode::create_staging_buffer(ComputeGraph* graph) {
   vTensorPtr packed = graph->get_tensor(packed_);
 
   // If no TensorRef is provided, create a staging buffer of zeros according to
   // the vkapi::vTensor metadata.
   if (graph->val_is_none(tref_)) {
     size_t numel = utils::multiply_integers(packed->sizes());
-    api::StorageBuffer staging(graph->context(), packed->dtype(), numel);
-    size_t nbytes = numel * vkapi::element_size(packed->dtype());
-    set_staging_zeros(staging, nbytes);
+    api::StagingBuffer staging(graph->context(), packed->dtype(), numel);
+    staging.set_staging_zeros();
     return staging;
   }
 
   TensorRefPtr tref = graph->get_tref(tref_);
   size_t numel = utils::multiply_integers(tref->sizes);
-  api::StorageBuffer staging(graph->context(), tref->dtype, numel);
+  api::StagingBuffer staging(graph->context(), tref->dtype, numel);
   size_t nbytes = numel * vkapi::element_size(tref->dtype);
-  copy_ptr_to_staging(tref->data, staging, nbytes);
+  staging.copy_from(tref->data, nbytes);
   return staging;
 }
 
@@ -70,7 +69,7 @@ void PrepackNode::encode(ComputeGraph* graph) {
   api::Context* const context = graph->context();
 
   vTensorPtr packed = graph->get_tensor(packed_);
-  api::StorageBuffer staging = create_staging_buffer(graph);
+  api::StagingBuffer staging = create_staging_buffer(graph);
 
   std::unique_lock<std::mutex> cmd_lock = context->dispatch_lock();
 
diff --git a/backends/vulkan/runtime/graph/ops/PrepackNode.h b/backends/vulkan/runtime/graph/ops/PrepackNode.h
index c3ac8b963f..3e713303c3 100644
--- a/backends/vulkan/runtime/graph/ops/PrepackNode.h
+++ b/backends/vulkan/runtime/graph/ops/PrepackNode.h
@@ -56,7 +56,7 @@ class PrepackNode final {
   const vkapi::SpecVarList spec_vars_;
 
  private:
-  api::StorageBuffer create_staging_buffer(ComputeGraph* graph);
+  api::StagingBuffer create_staging_buffer(ComputeGraph* graph);
 };
 
 } // namespace vkcompute
diff --git a/backends/vulkan/runtime/graph/ops/glsl/activations.h b/backends/vulkan/runtime/graph/ops/glsl/activations.h
new file mode 100644
index 0000000000..94c9e1274d
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/activations.h
@@ -0,0 +1,44 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+float hardswish(float x) {
+  if (x <= -3) {
+    return 0;
+  } else if (x >= 3) {
+    return x;
+  } else {
+    return x * (x + 3) / 6;
+  }
+}
+
+vec4 hardswish(vec4 tex) {
+  return vec4(
+      hardswish(tex.x), hardswish(tex.y), hardswish(tex.z), hardswish(tex.w));
+}
+
+float hardshrink(float x, float lambda, float neg_lambda) {
+  return x * (float(x > lambda) + float(x < neg_lambda));
+}
+
+vec4 hardshrink(vec4 tex, float lambda, float neg_lambda) {
+  return tex *
+      (vec4(greaterThan(tex, vec4(lambda))) +
+       vec4(lessThan(tex, vec4(neg_lambda))));
+}
+
+float hardsigmoid(float x) {
+  return mix(float(x >= 0.0), x / 6 + 0.5, float(abs(x) <= 3.0));
+}
+
+vec4 hardsigmoid(vec4 tex) {
+  return vec4(
+      hardsigmoid(tex.x),
+      hardsigmoid(tex.y),
+      hardsigmoid(tex.z),
+      hardsigmoid(tex.w));
+}
diff --git a/backends/vulkan/runtime/graph/ops/glsl/addmm_naive.glsl b/backends/vulkan/runtime/graph/ops/glsl/addmm_naive.glsl
deleted file mode 100644
index dbc87eb794..0000000000
--- a/backends/vulkan/runtime/graph/ops/glsl/addmm_naive.glsl
+++ /dev/null
@@ -1,79 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#version 450 core
-
-#define PRECISION ${PRECISION}
-
-$if MAT2_IS_TRANSPOSED:
-  #define MAT2_IS_TRANSPOSED
-
-#include "indexing_utils.h"
-#include "matmul.h"
-
-layout(set = 0, binding = 0, ${IMAGE_FORMAT[DTYPE]}) uniform PRECISION restrict writeonly image3D im_out;
-layout(set = 0, binding = 1) uniform PRECISION ${SAMPLER_T[NDIM][DTYPE]} im_mat1;
-layout(set = 0, binding = 2) uniform PRECISION ${SAMPLER_T[NDIM][DTYPE]} im_mat2;
-layout(set = 0, binding = 3) uniform PRECISION ${SAMPLER_T[NDIM][DTYPE]} im_self;
-
-layout(set = 0, binding = 4) uniform PRECISION restrict OutLimits {
-  ivec3 out_limits;
-};
-
-layout(set = 0, binding = 5) uniform PRECISION restrict InSizes {
-  ivec4 in_sizes;
-};
-
-layout(set = 0, binding = 6) uniform PRECISION restrict SelfSizes {
-  ivec3 self_sizes;
-};
-
-layout(set = 0, binding = 7) uniform PRECISION restrict AddmmParams {
-  float alpha;
-  float beta;
-};
-
-layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
-
-void main() {
-  const ivec3 pos = ivec3(gl_GlobalInvocationID);
-
-  if (any(greaterThanEqual(pos, out_limits))) {
-    return;
-  }
-
-  vec4 texel = vec4(0);
-
-  $if MAT1_PACKING == "W_packed":
-    $if MAT2_PACKING == "H_packed":
-      ivec3 mat2_pos = ivec3(pos.x * 4, 0, pos.z);
-      texel = matmul_naive_W_packed_H_packed(
-          im_mat1,
-          im_mat2,
-          pos,
-          in_sizes[0]);
-    $elif MAT2_PACKING == "W_packed":
-      texel = matmul_naive_W_packed_W_packed(
-          im_mat1,
-          im_mat2,
-          pos,
-          in_sizes[0]);
-    $else:
-      $raise Exception("Unsupported value for MAT2_PACKING")
-  $else:
-    $raise Exception("Unsupported value combo for MAT1_PACKING and MAT2_PACKING")
-
-  vec4 self_texel = get_texel_W_packed(
-      im_self,
-      pos,
-      self_sizes.x == 1,
-      self_sizes.y == 1);
-
-  texel = beta * self_texel + alpha * texel;
-  imageStore(im_out, pos, texel);
-}
diff --git a/backends/vulkan/runtime/graph/ops/glsl/addmm_naive.yaml b/backends/vulkan/runtime/graph/ops/glsl/addmm_naive.yaml
deleted file mode 100644
index 48db85cb56..0000000000
--- a/backends/vulkan/runtime/graph/ops/glsl/addmm_naive.yaml
+++ /dev/null
@@ -1,24 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-addmm_naive:
-  parameter_names_with_default_values:
-    DTYPE: float
-    NDIM: 3
-    MAT1_PACKING: W_packed
-    MAT2_PACKING: H_packed
-    MAT2_IS_TRANSPOSED: false
-  generate_variant_forall:
-    DTYPE:
-      - VALUE: float
-      - VALUE: half
-  shader_variants:
-    - NAME: addmm_naive_W_packed_H_packed
-    - NAME: addmm_naive_W_packed_W_packed
-      MAT2_PACKING: W_packed
-    - NAME: linear_naive_W_packed_W_packed
-      MAT2_PACKING: W_packed
-      MAT2_IS_TRANSPOSED: true
diff --git a/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.glsl b/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.glsl
new file mode 100644
index 0000000000..2104f7d796
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.glsl
@@ -0,0 +1,174 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#version 450 core
+
+#define PRECISION ${PRECISION}
+
+$if MAT2_IS_TRANSPOSED:
+  #define MAT2_IS_TRANSPOSED
+
+$if HAS_BIAS:
+  #define HAS_BIAS
+
+#include "indexing_utils.h"
+
+${layout_declare_tensor(B, "w", "out_tensor", DTYPE, "texture3d")}
+${layout_declare_tensor(B, "r", "mat1_tensor", DTYPE, "texture3d")}
+${layout_declare_tensor(B, "r", "mat2_tensor", DTYPE, "texture3d")}
+$if HAS_BIAS:
+  ${layout_declare_tensor(B, "r", "bias_tensor", DTYPE, "texture3d")}
+${layout_declare_ubo(B, "ivec4", "out_sizes")}
+${layout_declare_ubo(B, "ivec3", "out_limits")}
+${layout_declare_ubo(B, "ivec4", "out_axis_map")}
+${layout_declare_ubo(B, "ivec4", "mat1_sizes")}
+${layout_declare_ubo(B, "ivec4", "mat1_axis_map")}
+${layout_declare_ubo(B, "ivec4", "mat2_sizes")}
+${layout_declare_ubo(B, "ivec4", "mat2_axis_map")}
+$if HAS_BIAS:
+  ${layout_declare_ubo(B, "ivec4", "bias_sizes")}
+  ${layout_declare_ubo(B, "ivec4", "bias_axis_map")}
+  ${layout_declare_ubo(B, "float", "alpha", "float", "beta")}
+
+layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
+
+layout(constant_id = 3) const int out_packed_dim = C_DIM;
+layout(constant_id = 4) const int mat1_packed_dim = W_DIM;
+layout(constant_id = 5) const int mat2_packed_dim = H_DIM;
+layout(constant_id = 6) const int bias_packed_dim = W_DIM;
+
+#ifdef HAS_BIAS
+vec4 get_bias_texel_W_packed(ivec3 logical_pos) {
+  ivec3 bias_pos = ivec3(0);
+  if (bias_sizes.y == 1) {
+    bias_pos[bias_axis_map.y] = 0;
+  } else {
+    bias_pos[bias_axis_map.y] = logical_pos.y;
+  }
+  if (bias_sizes.x == 1) {
+    bias_pos[bias_axis_map.x] = 0;
+    vec4 bias_texel = texelFetch(bias_tensor, bias_pos, 0);
+    // Only the first value is valid, the rest is 0 padding
+    return vec4(bias_texel.x);
+  } else {
+    bias_pos[bias_axis_map.x] = logical_pos.x;
+  }
+
+  return texelFetch(bias_tensor, bias_pos, 0);
+}
+#endif // HAS_BIAS
+
+vec4 matmul_naive_k_dim_packed(const ivec3 out_lpos) {
+  ivec3 mat1_pos;
+  mat1_pos[mat1_axis_map.x] = 0;
+  mat1_pos[mat1_axis_map.y] = out_lpos.y;
+  mat1_pos[mat1_axis_map.z] = out_lpos.z;
+#ifdef MAT2_IS_TRANSPOSED
+  const int mat2_k_axis = mat2_axis_map.x;
+  const int mat2_row_axis = mat2_axis_map.y;
+#else
+  const int mat2_k_axis = mat2_axis_map.y;
+  const int mat2_row_axis = mat2_axis_map.x;
+#endif // MAT2_IS_TRANSPOSED
+
+  vec4 texel = vec4(0);
+  const int K = divup4(mat1_sizes.x);
+
+  for (int i = 0; i < K; ++i) {
+    const vec4 mat1_tex = texelFetch(mat1_tensor, mat1_pos, 0);
+
+    vec4 sums;
+    for (int r = 0; r < 4; ++r) {
+      // On-demand construction of mat2_pos appears to provide the lowest
+      // latency. Surprisingly, this doesn't translate to mat1_pos.
+      ivec3 mat2_pos = ivec3(0);
+      mat2_pos[mat2_k_axis] = i;
+      mat2_pos[mat2_row_axis] = out_lpos.x * 4 + r;
+#ifndef MAT2_IS_TRANSPOSED
+      mat2_pos[mat2_axis_map.z] = out_lpos.z;
+#endif // MAT2_IS_TRANSPOSED
+      sums[r] = dot(mat1_tex, texelFetch(mat2_tensor, mat2_pos, 0));
+    }
+
+    texel += sums;
+
+    mat1_pos[mat1_axis_map.x]++;
+  }
+
+  return texel;
+}
+
+vec4 matmul_naive_k_dim_packed_row_dim_packed(const ivec3 out_lpos) {
+  ivec3 mat1_pos;
+  mat1_pos[mat1_axis_map.x] = 0;
+  mat1_pos[mat1_axis_map.y] = out_lpos.y;
+  mat1_pos[mat1_axis_map.z] = out_lpos.z;
+
+  ivec3 mat2_pos;
+  mat2_pos[mat2_axis_map.x] = out_lpos.x;
+  mat2_pos[mat2_axis_map.y] = 0;
+  mat2_pos[mat2_axis_map.z] = out_lpos.z;
+
+  ivec3 mat2_pos_offset = ivec3(0);
+  mat2_pos_offset[mat2_axis_map.y] = 1;
+
+  const int mat2_y_axis = mat2_axis_map.y;
+
+  vec4 texel = vec4(0);
+  const int K = divup4(mat1_sizes.x);
+
+  for (int i = 0;
+       i < K;
+       ++i, mat1_pos[mat1_axis_map.x]++, mat2_pos[mat2_axis_map.y]+=4) {
+    const vec4 mat1_tex = texelFetch(mat1_tensor, mat1_pos, 0);
+
+    for (int r = 0; r < 4; ++r) {
+      // On-demand construction of mat2_pos appears to provide the lowest
+      // latency. Surprisingly, this doesn't translate to mat1_pos.
+      ivec3 mat2_pos = ivec3(0);
+      mat2_pos[mat2_axis_map.x] = out_lpos.x;
+      mat2_pos[mat2_axis_map.y] = 4 * i + r;
+      mat2_pos[mat2_axis_map.z] = out_lpos.z;
+
+      vec4 mat1_comp_vec = vec4(mat1_tex[r]);
+      texel = fma(mat1_comp_vec, texelFetch(mat2_tensor, mat2_pos, 0), texel);
+    }
+  }
+
+  return texel;
+}
+
+void main() {
+  const ivec3 out_lpos = ivec3(gl_GlobalInvocationID);
+  if (any(greaterThanEqual(out_lpos, out_limits))) {
+    return;
+  }
+
+  vec4 texel = vec4(0);
+
+#ifdef MAT2_IS_TRANSPOSED
+  if (mat2_packed_dim == W_DIM) {
+    texel = matmul_naive_k_dim_packed(out_lpos);
+  } else {
+    texel = matmul_naive_k_dim_packed_row_dim_packed(out_lpos);
+  }
+#else
+  if (mat2_packed_dim == W_DIM) {
+    texel = matmul_naive_k_dim_packed_row_dim_packed(out_lpos);
+  } else {
+    texel = matmul_naive_k_dim_packed(out_lpos);
+  }
+#endif // MAT2_IS_TRANSPOSED
+
+#ifdef HAS_BIAS
+  vec4 bias_texel = get_bias_texel_W_packed(out_lpos);
+  texel = beta * bias_texel + alpha * texel;
+#endif // HAS_BIAS
+
+  imageStore(out_tensor, lpos_to_pos(out_lpos, out_axis_map), texel);
+}
diff --git a/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml b/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml
new file mode 100644
index 0000000000..33b617eed1
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml
@@ -0,0 +1,24 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+addmm_naive_texture3d:
+  parameter_names_with_default_values:
+    DTYPE: float
+    MAT2_IS_TRANSPOSED: false
+    HAS_BIAS: true
+  generate_variant_forall:
+    DTYPE:
+      - VALUE: float
+      - VALUE: half
+  shader_variants:
+    - NAME: addmm_naive_texture3d
+    - NAME: matmul_naive_texture3d
+      HAS_BIAS: false
+    - NAME: linear_naive_texture3d
+      MAT2_IS_TRANSPOSED: true
+    - NAME: matmul_transposed_naive_texture3d
+      MAT2_IS_TRANSPOSED: true
+      HAS_BIAS: false
diff --git a/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.glsl b/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.glsl
index 1698efb0b1..ad794d6db4 100644
--- a/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.glsl
+++ b/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.glsl
@@ -16,90 +16,219 @@ $if MAT2_IS_TRANSPOSED:
 $if BATCH_MODE:
   #define BATCH_MODE
 
-$if TILE_ROW == "tile_row_2":
-  #define TILE_ROW_2
+$if HAS_BIAS:
+  #define HAS_BIAS
 
 #include "indexing_utils.h"
-#include "matmul.h"
 
-// addmm will have additional arguments compared to regular mm
-layout(set = 0, binding = 0, ${IMAGE_FORMAT[DTYPE]}) uniform PRECISION restrict writeonly image3D im_out;
-layout(set = 0, binding = 1) uniform PRECISION ${SAMPLER_T[NDIM][DTYPE]} im_mat1;
-layout(set = 0, binding = 2) uniform PRECISION ${SAMPLER_T[NDIM][DTYPE]} im_mat2;
-layout(set = 0, binding = 3) uniform PRECISION ${SAMPLER_T[NDIM][DTYPE]} im_self;
+${layout_declare_tensor(B, "w", "out_tensor", DTYPE, "texture3d")}
+${layout_declare_tensor(B, "r", "mat1_tensor", DTYPE, "texture3d")}
+${layout_declare_tensor(B, "r", "mat2_tensor", DTYPE, "texture3d")}
+$if HAS_BIAS:
+  ${layout_declare_tensor(B, "r", "bias_tensor", DTYPE, "texture3d")}
+${layout_declare_ubo(B, "ivec4", "out_sizes")}
+${layout_declare_ubo(B, "ivec4", "out_axis_map")}
+${layout_declare_ubo(B, "ivec4", "mat1_sizes")}
+${layout_declare_ubo(B, "ivec4", "mat1_axis_map")}
+${layout_declare_ubo(B, "ivec4", "mat2_sizes")}
+${layout_declare_ubo(B, "ivec4", "mat2_axis_map")}
+$if HAS_BIAS:
+  ${layout_declare_ubo(B, "ivec4", "bias_sizes")}
+  ${layout_declare_ubo(B, "ivec4", "bias_axis_map")}
+  ${layout_declare_ubo(B, "float", "alpha", "float", "beta")}
 
-layout(set = 0, binding = 4) uniform PRECISION restrict OutLimits {
-  ivec3 out_limits;
-};
+layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
 
-layout(set = 0, binding = 5) uniform PRECISION restrict OutSizes {
-  ivec4 out_sizes;
-};
+layout(constant_id = 3) const int out_packed_dim = C_DIM;
 
-layout(set = 0, binding = 6) uniform PRECISION restrict SelfSizes {
-  ivec4 self_sizes;
-};
+// To convince the SPIR-V compiler to unroll the loops optimally, need this
+// macro
+#define FOUR 4
 
-layout(set = 0, binding = 7) uniform PRECISION restrict InLimits {
-  ivec3 in_limits;
+#define TILE_ROWS ${TILE_ROWS}
+
+// we avoid mat4 and vec4 usage here as they compile to much less efficient
+// SPIR-V
+struct FloatMatrix_2d {
+  float data[TILE_ROWS][FOUR];
 };
 
-layout(set = 0, binding = 8) uniform PRECISION restrict Params {
-  float alpha;
-  float beta;
+struct FloatMatrix_3d {
+  float data[TILE_ROWS][FOUR][FOUR];
 };
 
-layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
+#ifdef BATCH_MODE
+  #define FloatMatrix FloatMatrix_3d
+#else
+  #define FloatMatrix FloatMatrix_2d
+#endif // BATCH_MODE
+
+#ifdef HAS_BIAS
+// get texel from self tensor (channel_packed) in addmm
+vec4 get_texel_C_packed(const ivec2 idx) {
+  ivec3 bias_pos = ivec3(0);
+  if (bias_sizes.x > 1) {
+    bias_pos[bias_axis_map.x] = idx.x;
+  }
+  if (bias_sizes.y > 1) {
+    bias_pos[bias_axis_map.y] = idx.y;
+  }
 
-void main() {
-  const ivec3 pos = ivec3(gl_GlobalInvocationID);
+  return texelFetch(bias_tensor, bias_pos, 0);
+}
+#endif // HAS_BIAS
+
+FloatMatrix matmul_partial(const ivec4 out_idx_tl) {
+  FloatMatrix results;
+  for (int i = 0; i < TILE_ROWS; i++) {
+    for (int j = 0; j < FOUR; j++) {
+#ifdef BATCH_MODE
+      for (int k = 0; k < FOUR; k++) {
+        results.data[i][j][k] = 0.0f;
+      }
+#else
+      results.data[i][j] = 0.0f;
+#endif // BATCH_MODE
+    }
+  }
+  vec4 mat1_tensor_partial_load[TILE_ROWS];
+  vec4 mat2_tensor_partial_load[FOUR];
+
+#ifdef MAT2_IS_TRANSPOSED
+  const int mat2_k_axis = mat2_axis_map.x;
+  const int mat2_row_axis = mat2_axis_map.y;
+#else
+  const int mat2_k_axis = mat2_axis_map.y;
+  const int mat2_row_axis = mat2_axis_map.x;
+#endif // MAT2_IS_TRANSPOSED
+
+#ifdef BATCH_MODE
+  for (int batch_idx = 0; batch_idx < FOUR; batch_idx++) {
+    if (out_idx_tl.z + batch_idx >= out_sizes.z) {
+      break;
+    }
+#endif // BATCH_MODE
+  for (int k = 0; k < mat1_sizes.x; k+=4) {
+    const int k_div4 = k >> 2;
+    // read and cache (4 x TILE_ROWS) tile of mat1
+    for (int r = 0; r < TILE_ROWS; r++) {
+      ivec3 mat1_pos = ivec3(0);
+      mat1_pos[mat1_axis_map.x] = k_div4;
+      mat1_pos[mat1_axis_map.y] = out_idx_tl.y + r;
+#ifdef BATCH_MODE
+      mat1_pos[mat1_axis_map.z] = out_idx_tl.z + batch_idx;
+#endif // BATCH_MODE
+
+      mat1_tensor_partial_load[r] = texelFetch(mat1_tensor, mat1_pos, 0);
+    }
 
-  if (any(greaterThanEqual(pos, out_limits))) {
-    return;
+    // read and cache (4 x 4) tile of mat2
+    for (int r = 0; r < FOUR; ++r) {
+      ivec3 mat2_pos = ivec3(0);
+      mat2_pos[mat2_k_axis] = k_div4;
+      mat2_pos[mat2_row_axis] = out_idx_tl.x + r;
+#if defined(BATCH_MODE) && !defined(MAT2_IS_TRANSPOSED)
+      mat2_pos[mat2_axis_map.z] = out_idx_tl.z + batch_idx;
+#endif // BATCH_MODE
+
+      mat2_tensor_partial_load[r] = texelFetch(mat2_tensor, mat2_pos, 0);
+    }
+
+    // perform partial dot products and add partial result to results
+    for (int out_row = 0; out_row < TILE_ROWS; out_row++) {
+      for (int out_col = 0; out_col < FOUR; out_col++) {
+#ifdef BATCH_MODE
+        results.data[out_row][out_col][batch_idx] +=
+#else
+        results.data[out_row][out_col] +=
+#endif // BATCH_MODE
+            dot(mat1_tensor_partial_load[out_row], mat2_tensor_partial_load[out_col]);
+      }
+    }
   }
+#ifdef BATCH_MODE
+  }
+#endif // BATCH_MODE
+
+  return results;
+}
 
-  $if BATCH_MODE:
-    FloatMatrix_3d results = matmul_partial_3d(
-      im_mat1,
-      im_mat2,
-      pos,
-      out_sizes[2],
-      in_limits[0]);
-  $else:
-    FloatMatrix_2d results = matmul_partial_2d(
-        im_mat1,
-        im_mat2,
-        pos,
-        out_sizes[2],
-        in_limits[0]);
-
-  for (int idx_c = 0; idx_c < TILE_ROWS; idx_c++) {
-    for (int idx_r = 0; idx_r < FOUR; idx_r++) {
-      const ivec3 out_pos =
-          ivec3(idx_r + FOUR * pos.x, idx_c + TILE_ROWS * pos.y, pos.z);
-
-      vec4 self_texel = get_texel_C_packed(
-          im_self,
-          out_pos,
-          self_sizes.x == 1,
-          self_sizes.y == 1);
-
-      // results is in transposed order w.r.t. the desired output
-      $if BATCH_MODE:
-        imageStore(
-          im_out,
-          out_pos,
-          vec4(
-              beta * self_texel.x + alpha * results.data[idx_c][idx_r][0],
-              beta * self_texel.x + alpha * results.data[idx_c][idx_r][1],
-              beta * self_texel.x + alpha * results.data[idx_c][idx_r][2],
-              beta * self_texel.x + alpha * results.data[idx_c][idx_r][3]));
-      $else:
-        imageStore(
-            im_out,
-            out_pos,
-            vec4(
-                beta * self_texel.x + alpha * results.data[idx_c][idx_r], 0.0, 0.0, 0.0));
+//
+// Write result matrix to output (3D matmul)
+//
+
+void write_results_C_packed(const ivec4 out_idx_tl, FloatMatrix results) {
+  ivec3 out_pos = tidx_to_pos(
+      out_idx_tl, out_sizes, out_axis_map, out_packed_dim);
+
+  for (int tile_c = 0;
+       tile_c < TILE_ROWS;
+       tile_c++, out_pos[out_axis_map.y]++) {
+    out_pos[out_axis_map.x] = out_idx_tl.x;
+
+    for (int tile_r = 0;
+         tile_r < FOUR;
+         tile_r++, out_pos[out_axis_map.x]++) {
+
+#ifdef HAS_BIAS
+      ivec2 bias_idx;
+      bias_idx[bias_axis_map.x] = out_pos[out_axis_map.x];
+      bias_idx[bias_axis_map.y] = out_pos[out_axis_map.y];
+      float bias_val = get_texel_C_packed(bias_idx).x;
+#ifdef BATCH_MODE
+      vec4 bias_texel = vec4(bias_val);
+#else
+      vec4 bias_texel = vec4(bias_val, 0, 0, 0);
+#endif // BATCH_MODE
+#endif // HAS_BIAS
+
+#ifdef BATCH_MODE
+      vec4 out_texel = vec4(
+            results.data[tile_c][tile_r][0],
+            results.data[tile_c][tile_r][1],
+            results.data[tile_c][tile_r][2],
+            results.data[tile_c][tile_r][3]);
+#else
+      vec4 out_texel = vec4(
+            results.data[tile_c][tile_r],
+            0.0,
+            0.0,
+            0.0);
+#endif // BATCH_MODE
+
+#ifdef HAS_BIAS
+      imageStore(out_tensor, out_pos, beta * bias_texel + alpha * out_texel);
+#else
+      imageStore(out_tensor, out_pos, out_texel);
+#endif // HAS_BIAS
     }
   }
 }
+
+void main() {
+  // Each thread is responsible for calculating a (4 x TILE_ROWS x 1) tile of
+  // output elements. If the input matrices are 3D, then a (4 x TILE_ROWS x 4)
+  // tile of output elements will be computed. Note the sizes are written in
+  // (W x H x C) format.
+  const ivec3 tile_idx = ivec3(gl_GlobalInvocationID);
+
+  // Calculate the tensor index of the top left element in the output tile
+  const ivec4 out_idx_topleft = ivec4(
+      tile_idx.x * 4,
+      tile_idx.y * TILE_ROWS,
+#ifdef BATCH_MODE
+      tile_idx.z * 4,
+#else
+      tile_idx.z,
+#endif // BATCH_MODE
+      0);
+
+  // If the top left element is already out of range, then skip
+  if (any(greaterThanEqual(out_idx_topleft, out_sizes))) {
+    return;
+  }
+
+  FloatMatrix results = matmul_partial(out_idx_topleft);
+
+  write_results_C_packed(out_idx_topleft, results);
+}
diff --git a/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml b/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml
index b958d3b954..c82c2003d2 100644
--- a/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml
+++ b/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml
@@ -7,24 +7,37 @@
 addmm_optimized:
   parameter_names_with_default_values:
     DTYPE: float
-    NDIM: 3
-    PACKING: C_packed
     MAT2_IS_TRANSPOSED: false
     BATCH_MODE: false
-    TILE_ROW: tile_row_4
+    TILE_ROWS: 4
+    HAS_BIAS: true
   generate_variant_forall:
-    TILE_ROW:
-      - VALUE: tile_row_4
-      - VALUE: tile_row_2
+    TILE_ROWS:
+      - VALUE: 4
+        SUFFIX: tile_row_4
+      - VALUE: 2
+        SUFFIX: tile_row_2
     DTYPE:
       - VALUE: float
       - VALUE: half
   shader_variants:
     - NAME: addmm_optimized
+    - NAME: matmul_optimized
+      HAS_BIAS: false
     - NAME: linear_optimized
       MAT2_IS_TRANSPOSED: true
+    - NAME: matmul_transposed_optimized
+      MAT2_IS_TRANSPOSED: true
+      HAS_BIAS: false
     - NAME: batch_addmm_optimized
       BATCH_MODE: true
+    - NAME: batch_matmul_optimized
+      BATCH_MODE: true
+      HAS_BIAS: false
     - NAME: batch_linear_optimized
       MAT2_IS_TRANSPOSED: true
       BATCH_MODE: true
+    - NAME: batch_matmul_transposed_optimized
+      MAT2_IS_TRANSPOSED: true
+      BATCH_MODE: true
+      HAS_BIAS: false
diff --git a/backends/vulkan/runtime/graph/ops/glsl/binary_op.glsl b/backends/vulkan/runtime/graph/ops/glsl/binary_op.glsl
index ec7e1da296..bf68ea2d9a 100644
--- a/backends/vulkan/runtime/graph/ops/glsl/binary_op.glsl
+++ b/backends/vulkan/runtime/graph/ops/glsl/binary_op.glsl
@@ -19,38 +19,43 @@
 
 layout(std430) buffer;
 
-${layout_declare_tensor(0, "w", "t_out", DTYPE, STORAGE)}
-${layout_declare_tensor(1, "r", "t_in", DTYPE, STORAGE)}
-${layout_declare_tensor(2, "r", "t_other", DTYPE, STORAGE)}
-${layout_declare_ubo(3, "ivec4", "out_sizes")}
-${layout_declare_ubo(4, "ivec4", "in_sizes")}
-${layout_declare_ubo(5, "ivec4", "other_sizes")}
-${layout_declare_ubo(6, "ivec2", "broadcast_params")}
-${layout_declare_ubo(7, "float", "alpha")}
+${layout_declare_tensor(B, "w", "t_out", DTYPE, STORAGE)}
+${layout_declare_tensor(B, "r", "t_in", DTYPE, STORAGE)}
+${layout_declare_tensor(B, "r", "t_other", DTYPE, STORAGE)}
+${layout_declare_ubo(B, "ivec4", "out_sizes")}
+${layout_declare_ubo(B, "ivec4", "out_axis_map")}
+${layout_declare_ubo(B, "ivec4", "in_sizes")}
+${layout_declare_ubo(B, "ivec4", "in_axis_map")}
+${layout_declare_ubo(B, "ivec4", "other_sizes")}
+${layout_declare_ubo(B, "ivec4", "other_axis_map")}
+${layout_declare_ubo(B, "ivec2", "broadcast_params")}
+${layout_declare_ubo(B, "float", "alpha")}
 
 layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
 
 layout(constant_id = 3) const int packed_dim = C_DIM;
 
 void main() {
-  const ivec3 pos = ivec3(gl_GlobalInvocationID);
-  const ivec4 idx = to_tensor_idx(pos, out_sizes, packed_dim);
+  const ivec3 lpos = ivec3(gl_GlobalInvocationID);
+  const ivec4 tidx = lpos_to_tidx(lpos, out_sizes, out_axis_map.w, packed_dim);
 
-  if (any(greaterThanEqual(idx, out_sizes))) {
+  if (any(greaterThanEqual(tidx, out_sizes))) {
     return;
   }
 
-  ivec4 in_idx = broadcast_indices(idx, in_sizes);
-  VEC4_T in_texel = VEC4_T(texelFetch(
+  // broadcast on logical sizes
+  ivec4 in_idx = broadcast_indices(tidx, in_sizes);
+  VEC4_T in_texel = VEC4_T(load_texel(
     t_in,
-    to_texture_pos(in_idx, in_sizes, packed_dim),
-    0));
+    // read axis mapped texel
+    tidx_to_pos(in_idx, in_sizes, in_axis_map, packed_dim)));
 
-  ivec4 other_idx = broadcast_indices(idx, other_sizes);
-  VEC4_T other_texel = VEC4_T(texelFetch(
+  // broadcast on logical sizes
+  ivec4 other_idx = broadcast_indices(tidx, other_sizes);
+  VEC4_T other_texel = VEC4_T(load_texel(
     t_other,
-    to_texture_pos(other_idx, other_sizes, packed_dim),
-    0));
+    // read axis mapped texel
+    tidx_to_pos(other_idx, other_sizes, other_axis_map, packed_dim)));
 
   // Check boolean broadcast flags; we use ivec2 instead of bvec2 for alignment.
   if (broadcast_params.x > 0) {
@@ -60,5 +65,7 @@ void main() {
     other_texel = other_texel.xxxx;
   }
 
-  imageStore(t_out, pos, VEC4_T(op(in_texel, other_texel, alpha)));
+  imageStore(t_out,
+    tidx_to_pos(tidx, out_sizes, out_axis_map, packed_dim),
+    VEC4_T(op(in_texel, other_texel, alpha)));
 }
diff --git a/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.glsl b/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.glsl
new file mode 100644
index 0000000000..9d4b18f0d1
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.glsl
@@ -0,0 +1,23 @@
+#version 450 core
+
+#define PRECISION ${PRECISION}
+
+#define T ${buffer_scalar_type(DTYPE)}
+
+${define_required_extensions(DTYPE)}
+
+layout(std430) buffer;
+
+${layout_declare_tensor(0, "w", "out_buf", DTYPE, STORAGE)}
+${layout_declare_tensor(1, "r", "in_buf", DTYPE, STORAGE)}
+${layout_declare_ubo(2, "int", "numel")}
+
+layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
+
+void main() {
+  int tid = int(gl_GlobalInvocationID.x);
+  if (tid >= numel) {
+    return;
+  }
+  out_buf[tid] = in_buf[tid];
+}
diff --git a/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml b/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml
new file mode 100644
index 0000000000..8ea4cbe561
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml
@@ -0,0 +1,18 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+buffer_to_buffer:
+  parameter_names_with_default_values:
+    DTYPE: float
+    STORAGE: buffer
+  generate_variant_forall:
+    DTYPE:
+      - VALUE: half
+      - VALUE: float
+      - VALUE: int
+      - VALUE: int8
+  shader_variants:
+    - NAME: buffer_to_buffer
diff --git a/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.glsl b/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.glsl
new file mode 100644
index 0000000000..201b4d1726
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.glsl
@@ -0,0 +1,35 @@
+#version 450 core
+
+#define PRECISION ${PRECISION}
+
+#define T ${buffer_scalar_type(DTYPE)}
+
+#include "indexing_utils.h"
+
+${define_required_extensions(DTYPE)}
+
+layout(std430) buffer;
+
+${layout_declare_tensor(0, "w", "nchw_buf", DTYPE, STORAGE)}
+${layout_declare_tensor(1, "r", "t_in", DTYPE, STORAGE)}
+${layout_declare_ubo(2, "ivec4", "in_sizes")}
+${layout_declare_ubo(3, "ivec4", "in_strides")}
+${layout_declare_ubo(4, "int", "numel")}
+
+layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
+
+// This constant is unused in this shader but is kept so that the signature is
+// consistent with image_to_nchw.
+layout(constant_id = 3) const int UNUSED_packed_dim = W_DIM;
+
+void main() {
+  int nchwi = int(gl_GlobalInvocationID.x);
+  if (nchwi >= numel) {
+    return;
+  }
+
+  ivec4 in_tidx = nchwi_to_tidx(nchwi, in_sizes);
+  const int in_bufi = tidx_to_bufi(in_tidx, in_strides);
+
+  nchw_buf[nchwi] = t_in[in_bufi];
+}
diff --git a/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml b/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml
new file mode 100644
index 0000000000..653bda9ccc
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml
@@ -0,0 +1,18 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+buffer_to_nchw:
+  parameter_names_with_default_values:
+    DTYPE: float
+    STORAGE: buffer
+  generate_variant_forall:
+    DTYPE:
+      - VALUE: half
+      - VALUE: float
+      - VALUE: int
+      - VALUE: int8
+  shader_variants:
+    - NAME: buffer_to_nchw
diff --git a/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.glsl b/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.glsl
index 18202e4a51..49ce76423d 100644
--- a/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.glsl
+++ b/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.glsl
@@ -53,7 +53,7 @@ void main() {
   }
 
   // Map tensor_idx to normal buffer_i
-  const ivec4 p0 = get_texel_nchw_buffer_ixs(idx, sizes, packed_dim);
+  const ivec4 p0 = tidx_to_nchwi(idx, sizes, packed_dim);
 
   // Compute modified tensor_idx by inverting the CPU function
   const int N = original_sizes.w;
diff --git a/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.glsl b/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.glsl
index 493a614ee8..4e8bff9494 100644
--- a/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.glsl
+++ b/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.glsl
@@ -53,7 +53,7 @@ void main() {
   }
 
   // Map tensor_idx to normal buffer_i
-  const ivec4 p0 = get_texel_nchw_buffer_ixs(idx, sizes, packed_dim);
+  const ivec4 p0 = tidx_to_nchwi(idx, sizes, packed_dim);
 
   // Compute modified tensor_idx by inverting the CPU function
   const int N = original_sizes.w;
diff --git a/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.glsl b/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.glsl
index d2978ffe7e..df8589e737 100644
--- a/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.glsl
+++ b/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.glsl
@@ -53,7 +53,7 @@ void main() {
   }
 
   // Map tensor_idx to normal buffer_i
-  const ivec4 p0 = get_texel_nchw_buffer_ixs(idx, sizes, packed_dim);
+  const ivec4 p0 = tidx_to_nchwi(idx, sizes, packed_dim);
 
   // Compute modified tensor_idx by inverting the CPU function
   const int N = original_sizes.w;
diff --git a/backends/vulkan/runtime/graph/ops/glsl/embedding.glsl b/backends/vulkan/runtime/graph/ops/glsl/embedding.glsl
index 3adffe99bd..1a3fef2b31 100644
--- a/backends/vulkan/runtime/graph/ops/glsl/embedding.glsl
+++ b/backends/vulkan/runtime/graph/ops/glsl/embedding.glsl
@@ -16,34 +16,36 @@ layout(std430) buffer;
 
 #include "indexing_utils.h"
 
-${layout_declare_tensor(0, "w", "t_out", DTYPE, STORAGE)}
-${layout_declare_tensor(1, "r", "t_in", "int", STORAGE)}
-${layout_declare_tensor(2, "r", "t_weight", DTYPE, STORAGE)}
-${layout_declare_ubo(3, "ivec4", "sizes")}
+${layout_declare_tensor(B, "w", "t_out", DTYPE, STORAGE)}
+${layout_declare_tensor(B, "r", "t_in", "int", STORAGE)}
+${layout_declare_tensor(B, "r", "t_weight", DTYPE, STORAGE)}
+${layout_declare_ubo(B, "ivec4", "sizes")}
+${layout_declare_ubo(B, "ivec4", "out_axis_map")}
+${layout_declare_ubo(B, "ivec4", "in_axis_map")}
+${layout_declare_ubo(B, "ivec4", "weight_axis_map")}
 
 layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
 
 layout(constant_id = 3) const int packed_dim = C_DIM;
 
 void main() {
-  const ivec3 out_pos = ivec3(gl_GlobalInvocationID);
-
-  if (pos_out_of_bounds(out_pos, sizes, packed_dim)) {
+  const ivec3 out_lpos = ivec3(gl_GlobalInvocationID);
+  const ivec4 out_tidx = lpos_to_tidx(out_lpos, sizes, out_axis_map.w, packed_dim);
+  if (any(greaterThanEqual(out_tidx, sizes))) {
     return;
   }
-
-  const ivec4 out_idx = to_tensor_idx(out_pos, sizes, packed_dim);
   VEC4_T out_texel;
 
   // Consider optimizing via W-packing format for t_in and t_weight.
   for (int i = 0; i < 4; ++i) {
     // Read input tensor for embedding index.
-    const ivec3 in_pos = ivec3(out_pos.y, out_idx.z * 4 + i, out_idx.w / 4);
-    const int in_texel_elem = texelFetch(t_in, in_pos, 0)[out_idx.w % 4];
+    const ivec3 in_pos = lpos_to_pos(ivec3(out_tidx.y, out_tidx.z * 4 + i, out_tidx.w / 4), in_axis_map);
+    const int in_texel_elem = load_texel(t_in, in_pos)[out_tidx.w % 4];
 
     // Read weight tensor for embedding.
-    out_texel[i] = texelFetch(t_weight, ivec3(out_pos.x, in_texel_elem, 0), 0).x;
+    const ivec3 weight_pos = lpos_to_pos(ivec3(out_tidx.x, in_texel_elem, 0), weight_axis_map);
+    out_texel[i] = load_texel(t_weight, weight_pos).x;
   }
 
-  imageStore(t_out, out_pos, out_texel);
+  imageStore(t_out, lpos_to_pos(out_lpos, out_axis_map), out_texel);
 }
diff --git a/backends/vulkan/runtime/graph/ops/glsl/grid_priors.glsl b/backends/vulkan/runtime/graph/ops/glsl/grid_priors.glsl
new file mode 100644
index 0000000000..93a2c53e01
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/grid_priors.glsl
@@ -0,0 +1,38 @@
+#version 450 core
+
+#define PRECISION ${PRECISION}
+
+#define VEC4_T ${texel_type(DTYPE)}
+
+layout(std430) buffer;
+
+#include "indexing_utils.h"
+
+${layout_declare_tensor(0, "w", "t_out", DTYPE, STORAGE)}
+${layout_declare_ubo(1, "ivec4", "in_sizes")}
+${layout_declare_ubo(2, "ivec4", "out_sizes")}
+${layout_declare_ubo(3, "int", "stride", "float", "offset")}
+
+layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
+
+layout(constant_id = 3) const int packed_dim = C_DIM;
+
+void main() {
+  const ivec3 pos = ivec3(gl_GlobalInvocationID);
+  const ivec4 idx = to_tensor_idx(pos, out_sizes, packed_dim);
+
+  if (pos_out_of_bounds(pos, out_sizes, packed_dim)) {
+    return;
+  }
+  int width = in_sizes.x;
+  VEC4_T outtex;
+  if (pos.x == 0) {
+    float value = (pos.y % width + offset) * stride;
+    outtex = VEC4_T(value, 0, 0, 0);
+  } else if (pos.x == 1) {
+    float value = (pos.y / width + offset) * stride;
+    outtex = VEC4_T(value, 0, 0, 0);
+  }
+
+  imageStore(t_out, pos, outtex);
+}
diff --git a/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml b/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml
new file mode 100644
index 0000000000..654edca610
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml
@@ -0,0 +1,12 @@
+grid_priors:
+  parameter_names_with_default_values:
+    NDIM: 3
+    DTYPE: float
+    PACKING: C_packed
+    STORAGE: texture3d
+  generate_variant_forall:
+    DTYPE:
+      - VALUE: half
+      - VALUE: float
+  shader_variants:
+    - NAME: grid_priors
diff --git a/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.glsl b/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.glsl
new file mode 100644
index 0000000000..be3901799f
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.glsl
@@ -0,0 +1,63 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#version 450 core
+
+#define PRECISION ${PRECISION}
+
+#define BUF_T ${buffer_scalar_type(DTYPE)}
+#define VEC4_T ${texel_load_type(DTYPE, STORAGE)}
+
+${define_active_storage_type(STORAGE)}
+
+#include "indexing_utils.h"
+
+${define_required_extensions(DTYPE)}
+
+layout(std430) buffer;
+
+${layout_declare_buffer(B, "w", "nchw_out", DTYPE)}
+${layout_declare_tensor(B, "r", "t_in", DTYPE, STORAGE)}
+${layout_declare_ubo(B, "ivec4", "sizes")}
+${layout_declare_ubo(B, "ivec4", "axis_map")}
+
+layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
+
+layout(constant_id = 3) const int packed_dim = C_DIM;
+
+void write_out_texel(VEC4_T texel, ivec4 tensor_idx) {
+  const ivec4 buf_indices = tidx_to_nchwi(
+      tensor_idx,
+      sizes,
+      packed_dim);
+
+  if (tensor_idx[packed_dim] < sizes[packed_dim]) {
+    nchw_out[buf_indices.x] = BUF_T(texel.x);
+  }
+  if (tensor_idx[packed_dim] + 1 < sizes[packed_dim]) {
+    nchw_out[buf_indices.y] = BUF_T(texel.y);
+  }
+  if (tensor_idx[packed_dim] + 2 < sizes[packed_dim]) {
+    nchw_out[buf_indices.z] = BUF_T(texel.z);
+  }
+  if (tensor_idx[packed_dim] + 3 < sizes[packed_dim]) {
+    nchw_out[buf_indices.w] = BUF_T(texel.w);
+  }
+}
+
+void main() {
+  const ivec3 lpos = ivec3(gl_GlobalInvocationID);
+  const ivec4 tidx = lpos_to_tidx(lpos, sizes, axis_map.w, packed_dim);
+
+  if (any(greaterThanEqual(tidx, sizes))) {
+    return;
+  }
+
+  const VEC4_T intex = load_texel(t_in, lpos_to_pos(lpos, axis_map));
+  write_out_texel(intex, tidx);
+}
diff --git a/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml b/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml
new file mode 100644
index 0000000000..0898e75110
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml
@@ -0,0 +1,21 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+image_to_nchw:
+  parameter_names_with_default_values:
+    DTYPE: float
+    STORAGE: texture3d
+  generate_variant_forall:
+    DTYPE:
+      - VALUE: half
+      - VALUE: float
+      - VALUE: int
+      - VALUE: int8
+    STORAGE:
+      - VALUE: texture3d
+      - VALUE: texture2d
+  shader_variants:
+    - NAME: image_to_nchw
diff --git a/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.glsl b/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.glsl
index ba60000f3d..76ec540838 100644
--- a/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.glsl
+++ b/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.glsl
@@ -34,18 +34,18 @@ void main() {
   }
 
   const ivec4 idx = to_tensor_idx(out_pos, out_sizes, packed_dim);
-  const ivec4 buffer_ixs = get_texel_nchw_buffer_ixs(idx, out_sizes, packed_dim);
+  const ivec4 buffer_ixs = tidx_to_nchwi(idx, out_sizes, packed_dim);
 
   VEC4_T out_texel;
   for (int i = 0; i < 4; ++i) {
-      const ivec4 out_idx = from_nchw_buffer_i(buffer_ixs[i], out_sizes);
-      int out_channel = out_idx.z;
+      const ivec4 out_tidx = nchwi_to_tidx(buffer_ixs[i], out_sizes);
+      int out_channel = out_tidx.z;
       int in_channel = texelFetch(t_idx, ivec3(out_channel, 0, 0), 0).x;
 
-      ivec4 in_idx = out_idx;
-      in_idx.z = in_channel;
+      ivec4 in_tidx = out_tidx;
+      in_tidx.z = in_channel;
 
-      ivec4 in_elem_pos = to_texture_elem_pos(in_idx, in_sizes, packed_dim);
+      ivec4 in_elem_pos = to_texture_elem_pos(in_tidx, in_sizes, packed_dim);
 
       VEC4_T in_texel = texelFetch(t_in, in_elem_pos.xyz, 0);
 
diff --git a/backends/vulkan/runtime/graph/ops/glsl/indexing_utils.h b/backends/vulkan/runtime/graph/ops/glsl/indexing_utils.h
index 0ecfb83eac..73df7cfccc 100644
--- a/backends/vulkan/runtime/graph/ops/glsl/indexing_utils.h
+++ b/backends/vulkan/runtime/graph/ops/glsl/indexing_utils.h
@@ -9,94 +9,235 @@
 #ifndef INDEXING_UTILS_H
 #define INDEXING_UTILS_H
 
-// Width Dim Index, assuming (W, H, C, N) order
+/*
+ * The functions defined in this header file use the following shorthand to
+ * represent tensor related data structures.
+ *
+ * tidx  - ivec4 tensor indices, listed in WHCN order.
+ *
+ * pos   - ivec3 texel position, used to fetch from an image texture via the
+ *         texelFetch(image, pos, lod) GLSL function.
+ * posi  - ivec4 texel element position. It is the same as pos, except with an
+ *         additional component of the index of an element within the texel.
+ * lpos  - ivec3 logical position, listed in WHC order. This is a permutation of
+ *         texture position based on a tensor's axis_map. lpos.x is the position
+ *         component that corresponds to the tensor's width dimension, lpos.y is
+ *         the position component that corresponds to the tensor's height dim,
+ *         and so on.
+ *
+ * bufi  - int index into a GPU buffer that backs a tensor.
+ * nchwi - int index into a staging buffer for a tensor. The data in the
+ *         staging buffer is stored in contiguous data layout, irrespective of
+ *         the tensor's strides.
+ */
+
+// Width Dim Index, assuming WHCN order
 #define W_DIM 0
-// Height, assuming (W, H, C, N) order
+// Height, assuming WHCN order
 #define H_DIM 1
-// Channels, assuming (W, H, C, N) order
+// Channels, assuming WHCN order
 #define C_DIM 2
 
 /*
- * Describes which texture axis the "batches" dimension runs along in a 4D
- * texture.
- *
- * Currently it is set to 2 since we represent batches by concatenating along
- * the channels dim, which has index 2 in (W, H, C, N) order and maps to the
- * depth dimension of a texture, which also corresponds to index 2 in (x, y, z)
- * order.
+ * Fast division by 4 using bit shifting
  */
-#define BATCH_AXIS 2
-
-//
-// Basic Indexing Utility Macros and Functions
-//
+#define div4(x) (x >> 2)
 
 /*
  * Divides input and rounds up to 4
  */
-#define divup4(x) ((x + 3) / 4)
+#define divup4(x) ((x + 3) >> 2)
 
 /*
  * Aligns input to the next multiple of 4
  */
 #define alignup4(x) ((x + 3) & -4)
 
-//
-// (w, h, c, n) Tensor Index <-> Contiguous Buffer Index Conversion
-//
+/*
+ * Find the packed dimension of a tensor given its strides. The packed dimension
+ * is the "fastest moving" dimension which will have a stride of 1.
+ */
+int find_packed_dim(const ivec4 strides) {
+  int packed_dim = 0;
+  for (int i = 0; i <= 3; i++) {
+    if (strides[i] == 1) {
+      packed_dim = i;
+      break;
+    }
+  }
+  return packed_dim;
+}
 
 /*
- * Input: (w, h, c, n) tensor index, (W, H, C, N) sizes of a tensor, which dim
- *        is packed along a texel
- * Output: A ivec4 containing the buffer indices corresponding to each texel
- *         element.
+ * Get the staging buffer indices that contain the data of the texel that
+ * corresponds to the provided tensor index. Since the texel have 4 elements,
+ * 4 buffer indices will be retrieved.
  */
-ivec4 get_texel_nchw_buffer_ixs(ivec4 idx, ivec4 sizes, int packed_dim) {
+ivec4 tidx_to_nchwi(const ivec4 tidx, const ivec4 sizes, const int packed_dim) {
   ivec4 strides =
       ivec4(1, sizes.x, sizes.x * sizes.y, sizes.x * sizes.y * sizes.z);
 
-  int base_i = idx.x * strides.x + idx.y * strides.y + idx.z * strides.z +
-      idx.w * strides.w;
+  int base_i = tidx.x * strides.x + tidx.y * strides.y + tidx.z * strides.z +
+      tidx.w * strides.w;
 
   return base_i + ivec4(0, 1, 2, 3) * strides[packed_dim];
 }
 
-/*
- * Input: Index into a tensor's data buffer, (W, H, C, N) sizes of a tensor
- * Returns: The WCHN index of the tensor that corresponds to the specified
- *          buffer index, assuming the buffer has contiguous memory layout
- */
-ivec4 from_nchw_buffer_i(int buf_i, ivec4 sizes) {
+ivec4 nchwi_to_tidx(const int nchwi, const ivec4 sizes) {
   return ivec4(
-      buf_i % sizes.x,
-      (buf_i / (sizes.x)) % sizes.y,
-      (buf_i / (sizes.x * sizes.y)) % sizes.z,
-      (buf_i / (sizes.x * sizes.y * sizes.z)));
+      nchwi % sizes.x,
+      (nchwi / (sizes.x)) % sizes.y,
+      (nchwi / (sizes.x * sizes.y)) % sizes.z,
+      (nchwi / (sizes.x * sizes.y * sizes.z)));
 }
 
-/*
- * Input: Texel buffer index, (W, H, C, N) strides of a tensor, which dim is
- *        packed along a texel
- * Returns: The (x, y, z, n) texel position corresponding to the first element
- *          of the texel at the specified buffer index
- */
-ivec4 to_texel_pos(int buf_i, ivec4 strides, int packed_dim) {
+int tidx_to_nchwi(const ivec4 tidx, const ivec4 sizes) {
+  return tidx.w * sizes.x * sizes.y * sizes.z + tidx.z * sizes.x * sizes.y +
+      tidx.y * sizes.x + tidx.x;
+}
+
+// TODO(ssjia): make this function use dim order so that it can work with any
+// dim order. Currently it assumes that the dim order is contiguous, except for
+// the packed dim.
+ivec4 bufi_to_tidx(int bufi, const ivec4 strides, const int packed_dim) {
   ivec4 idx;
   for (int i = 3; i >= 0; i--) {
     if (i != packed_dim) {
-      idx[i] = buf_i / strides[i];
-      buf_i %= strides[i];
+      idx[i] = bufi / strides[i];
+      bufi %= strides[i];
     }
   }
-  idx[packed_dim] = buf_i;
+  idx[packed_dim] = bufi;
   return idx;
 }
 
-int to_texel_idx(const ivec4 texel_pos, ivec4 strides) {
-  return texel_pos.x * strides.x + texel_pos.y * strides.y +
-      texel_pos.z * strides.z + texel_pos.w * strides.w;
+// Convenience overload of the above function, which will determine the packed
+// dim from the strides automatically so it doesn't have to be passed in as a
+// function argument.
+ivec4 bufi_to_tidx(const int bufi, const ivec4 strides) {
+  int packed_dim = find_packed_dim(strides);
+  return bufi_to_tidx(bufi, strides, packed_dim);
+}
+
+int tidx_to_bufi(const ivec4 tidx, ivec4 strides) {
+  return tidx.x * strides.x + tidx.y * strides.y + tidx.z * strides.z +
+      tidx.w * strides.w;
+}
+
+ivec4 lpos_to_tidx(
+    ivec3 lpos,
+    ivec4 sizes,
+    const int batch_inner_dim,
+    const int packed_dim) {
+  // Align packed dim to next multiple of 4 to account for texel padding
+  sizes[packed_dim] = alignup4(sizes[packed_dim]);
+  // Moving 1 texel along the packed dim traverses 4 tensor elements
+  lpos[packed_dim] *= 4;
+
+  ivec4 tidx = ivec4(lpos, 0);
+
+  if (sizes.w > 1) {
+    tidx.w = tidx[batch_inner_dim] / sizes[batch_inner_dim];
+    tidx[batch_inner_dim] %= sizes[batch_inner_dim];
+  }
+  return tidx;
+}
+
+ivec3 tidx_to_lpos(
+    ivec4 tidx,
+    ivec4 sizes,
+    const int batch_inner_dim,
+    const int packed_dim) {
+  // Align packed dim to next multiple of 4 to account for texel padding
+  sizes[packed_dim] = alignup4(sizes[packed_dim]);
+
+  ivec3 lpos = tidx.xyz;
+
+  // Adjust batch inner dim by batch index if needed
+  if (sizes.w > 1) {
+    lpos[batch_inner_dim] += tidx.w * sizes[batch_inner_dim];
+  }
+  // Fast division by 4, since moving 1 texel along the packed dim traverses 4
+  // tensor elements.
+  lpos[packed_dim] >>= 2;
+  return lpos;
 }
 
+ivec3 tidx_to_pos(
+    ivec4 tidx,
+    ivec4 sizes,
+    const ivec4 axis_map,
+    const int packed_dim) {
+  // Align packed dim to next multiple of 4 to account for texel padding
+  sizes[packed_dim] = alignup4(sizes[packed_dim]);
+
+  ivec3 pos;
+  for (int dim = 0; dim < 3; ++dim) {
+    pos[axis_map[dim]] = tidx[dim];
+  }
+
+  // Adjust batch inner dim by batch index if needed
+  if (sizes.w > 1) {
+    pos[axis_map[axis_map.w]] += tidx.w * sizes[axis_map.w];
+  }
+  // Fast division by 4, since moving 1 texel along the packed dim traverses 4
+  // tensor elements.
+  pos[axis_map[packed_dim]] >>= 2;
+  return pos;
+}
+
+ivec4 tidx_to_posi(
+    ivec4 tidx,
+    ivec4 sizes,
+    const ivec4 axis_map,
+    const int packed_dim) {
+  return ivec4(
+      tidx_to_pos(tidx, sizes, axis_map, packed_dim), tidx[packed_dim] % 4);
+}
+
+ivec3 lpos_to_pos(const ivec3 lpos, const ivec4 axis_map) {
+  ivec3 pos;
+  pos[axis_map.x] = lpos.x;
+  pos[axis_map.y] = lpos.y;
+  pos[axis_map.z] = lpos.z;
+  return pos;
+}
+
+#ifdef USING_BUFFER
+#define load_texel(buf, idx) buf[idx]
+#elif defined(USING_TEXTURE2D)
+#define load_texel(im, pos) texelFetch(im, pos.xy, 0)
+#else // defined(USING_TEXTURE3D)
+#define load_texel(im, pos) texelFetch(im, pos, 0)
+#endif
+
+#ifdef USING_BUFFER
+#define write_texel(buf, idx, texel) buf[idx] = texel
+#elif defined(USING_TEXTURE2D)
+#define write_texel(im, pos, texel) imageStore(im, pos.xy, texel)
+#else // defined(USING_TEXTURE3D)
+#define write_texel(im, pos, texel) imageStore(im, pos, texel)
+#endif
+
+/************************
+ * Deprecated Functions *
+ ************************/
+
+// The below functions and macros are in the process of being deprecated in
+// favor of newer indexing functions that account for axis mapping and have more
+// explicit function names and more updated terminology.
+
+/*
+ * Describes which texture axis the "batches" dimension runs along in a 4D
+ * texture.
+ *
+ * Currently it is set to 2 since we represent batches by concatenating along
+ * the channels dim, which has index 2 in (W, H, C, N) order and maps to the
+ * depth dimension of a texture, which also corresponds to index 2 in (x, y, z)
+ * order.
+ */
+#define BATCH_AXIS 2
+
 //
 // (w, h, c, n) Tensor Index <-> (x, y, z) Texture Position Conversion
 //
@@ -181,26 +322,6 @@ ivec4 to_texture_elem_pos(ivec4 idx, ivec4 sizes, int packed_dim) {
   return pos;
 }
 
-//
-// Texel Access and Storage
-//
-
-#ifdef USING_BUFFER
-#define load_texel(buf, idx) buf[idx]
-#elif defined(USING_TEXTURE2D)
-#define load_texel(im, pos) texelFetch(im, pos.xy, 0)
-#else // defined(USING_TEXTURE3D)
-#define load_texel(im, pos) texelFetch(im, pos, 0)
-#endif
-
-#ifdef USING_BUFFER
-#define write_texel(buf, idx, texel) buf[idx] = texel
-#elif defined(USING_TEXTURE2D)
-#define write_texel(im, pos, texel) imageStore(im, pos.xy, texel)
-#else // defined(USING_TEXTURE3D)
-#define write_texel(im, pos, texel) imageStore(im, pos, texel)
-#endif
-
 //
 // Miscellaneous Utility Functions and Macros
 //
diff --git a/backends/vulkan/runtime/graph/ops/glsl/int8_image_to_nchw_noint8.glsl b/backends/vulkan/runtime/graph/ops/glsl/int8_image_to_nchw_noint8.glsl
new file mode 100644
index 0000000000..f7133dd045
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/int8_image_to_nchw_noint8.glsl
@@ -0,0 +1,60 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#version 450 core
+
+#define PRECISION ${PRECISION}
+
+#include "indexing_utils.h"
+
+layout(std430) buffer;
+
+#extension GL_EXT_control_flow_attributes : require
+
+${layout_declare_buffer(B, "w", "nchw_out", "int")}
+${layout_declare_tensor(B, "r", "t_in", "int8", "texture3d")}
+${layout_declare_ubo(B, "ivec4", "tensor_sizes")}
+${layout_declare_ubo(B, "ivec4", "axis_map")}
+${layout_declare_ubo(B, "int", "out_numel")}
+
+layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
+
+layout(constant_id = 3) const int packed_dim = C_DIM;
+
+void main() {
+  const int out_buf_idx = int(gl_GlobalInvocationID.x);
+  // On the CPU, the number of elements is determined based on a buffer of int8
+  // elements. However, on the GPU, since the int8 data type is not supported
+  // each group of 4 elements is interepreted as 1 int32 element. Thus each
+  // thread is actually writing to 4 output elements from the perspective of the
+  // CPU.
+  if (out_buf_idx * 4 >= out_numel) {
+    return;
+  }
+
+  ivec4 values;
+  int in_buf_idx = 4 * out_buf_idx;
+
+  [[unroll]] for (int i = 0; i < 4; ++i) {
+    const ivec4 tidx = nchwi_to_tidx(in_buf_idx, tensor_sizes);
+    const ivec4 texture_pos = to_texture_elem_pos(
+        tidx, tensor_sizes, packed_dim);
+    values[i] = load_texel(t_in, texture_pos.xyz)[texture_pos.w];
+    in_buf_idx++;
+  }
+
+  // Manually pack 4x 8-bit integers into a 32 bit integer. Note that little
+  // endian is assumed, since most processors use little endian. Thus the
+  // "later" values are placed in most significant bytes.
+  int packed = ((values[3] & 0xFF) << 24)
+             | ((values[2] & 0xFF) << 16)
+             | ((values[1] & 0xFF) << 8)
+             | ((values[0] & 0xFF));
+
+  nchw_out[out_buf_idx] = packed;
+}
diff --git a/backends/vulkan/runtime/graph/ops/glsl/matmul.h b/backends/vulkan/runtime/graph/ops/glsl/matmul.h
deleted file mode 100644
index 620f1fd0e6..0000000000
--- a/backends/vulkan/runtime/graph/ops/glsl/matmul.h
+++ /dev/null
@@ -1,283 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-// To convince the SPIR-V compiler to unroll the loops optimally, need this
-// macro
-#define FOUR 4
-
-#ifdef TILE_ROW_2
-#define TILE_ROWS 2
-#else
-#define TILE_ROWS 4
-#endif
-
-// we avoid mat4 and vec4 usage here as they compile to much less efficient
-// SPIR-V
-struct FloatMatrix_2d {
-  float data[TILE_ROWS][FOUR];
-};
-
-struct FloatMatrix_3d {
-  float data[TILE_ROWS][FOUR][FOUR];
-};
-
-#ifdef MAT2_IS_TRANSPOSED
-vec4 matmul_naive_W_packed_W_packed(
-#else
-vec4 matmul_naive_W_packed_H_packed(
-#endif
-    const sampler3D im_mat1,
-    const sampler3D im_mat2,
-    const ivec3 out_pos,
-    const int width) {
-  ivec3 mat1_pos = ivec3(0, out_pos.y, out_pos.z);
-#ifdef MAT2_IS_TRANSPOSED
-  ivec3 mat2_pos = ivec3(0, out_pos.x * 4, 0);
-#else
-  ivec3 mat2_pos = ivec3(out_pos.x * 4, 0, out_pos.z);
-#endif
-
-  vec4 texel = vec4(0);
-  const int K = (width + 3) / 4;
-
-  for (int i = 0; i < K; ++i) {
-    const vec4 mat1_tex = texelFetch(im_mat1, mat1_pos, 0);
-#ifdef MAT2_IS_TRANSPOSED
-    const vec4 sums = vec4(
-        dot(mat1_tex, texelFetch(im_mat2, mat2_pos, 0)),
-        dot(mat1_tex, texelFetch(im_mat2, mat2_pos + ivec3(0, 1, 0), 0)),
-        dot(mat1_tex, texelFetch(im_mat2, mat2_pos + ivec3(0, 2, 0), 0)),
-        dot(mat1_tex, texelFetch(im_mat2, mat2_pos + ivec3(0, 3, 0), 0)));
-#else
-    const vec4 sums = vec4(
-        dot(mat1_tex, texelFetch(im_mat2, mat2_pos, 0)),
-        dot(mat1_tex, texelFetch(im_mat2, mat2_pos + ivec3(1, 0, 0), 0)),
-        dot(mat1_tex, texelFetch(im_mat2, mat2_pos + ivec3(2, 0, 0), 0)),
-        dot(mat1_tex, texelFetch(im_mat2, mat2_pos + ivec3(3, 0, 0), 0)));
-#endif
-
-    texel += sums;
-
-    mat1_pos.x++;
-#ifdef MAT2_IS_TRANSPOSED
-    mat2_pos.x++;
-#else
-    mat2_pos.y++;
-#endif
-  }
-
-  return texel;
-}
-
-#ifdef MAT2_IS_TRANSPOSED
-vec4 matmul_naive_W_packed_H_packed(
-#else
-vec4 matmul_naive_W_packed_W_packed(
-#endif
-    const sampler3D im_mat1,
-    const sampler3D im_mat2,
-    const ivec3 out_pos,
-    const int width) {
-  ivec3 mat1_pos = ivec3(0, out_pos.y, out_pos.z);
-  ivec3 mat2_pos = ivec3(out_pos.x, 0, out_pos.z);
-
-  vec4 texel = vec4(0);
-  int K = divup4(width);
-
-  for (int i = 0; i < K; ++i) {
-    vec4 mat1_tex = texelFetch(im_mat1, mat1_pos, 0);
-    texel = fma(mat1_tex.xxxx, texelFetch(im_mat2, mat2_pos, 0), texel);
-    mat2_pos.y++;
-    texel = fma(mat1_tex.yyyy, texelFetch(im_mat2, mat2_pos, 0), texel);
-    mat2_pos.y++;
-    texel = fma(mat1_tex.zzzz, texelFetch(im_mat2, mat2_pos, 0), texel);
-    mat2_pos.y++;
-    texel = fma(mat1_tex.wwww, texelFetch(im_mat2, mat2_pos, 0), texel);
-    mat2_pos.y++;
-
-    mat1_pos.x++;
-  }
-
-  return texel;
-}
-
-// get texel from self tensor (width_packed) in addmm
-vec4 get_texel_W_packed(
-    sampler3D im_self,
-    const ivec3 pos,
-    const bool broadcast_at_width,
-    const bool broadcast_at_height) {
-  vec4 self_texel;
-  // self is of shape {1}
-  if (broadcast_at_width && broadcast_at_height) {
-    self_texel = texelFetch(im_self, ivec3(0, 0, 0), 0).xxxx;
-  }
-  // self is of shape {*, 1}
-  else if (broadcast_at_width) {
-    self_texel = texelFetch(im_self, ivec3(0, pos.y, 0), 0).xxxx;
-  }
-  // self is of shape {1, *}
-  else if (broadcast_at_height) {
-    self_texel = texelFetch(im_self, ivec3(pos.x, 0, 0), 0);
-  } else {
-    self_texel = texelFetch(im_self, ivec3(pos.x, pos.y, 0), 0);
-  }
-
-  return self_texel;
-}
-
-// get texel from self tensor (channel_packed) in addmm
-vec4 get_texel_C_packed(
-    sampler3D im_self,
-    const ivec3 pos,
-    const bool broadcast_at_width,
-    const bool broadcast_at_height) {
-  vec4 self_texel;
-  // self is of shape {1}
-  if (broadcast_at_width && broadcast_at_height) {
-    self_texel = texelFetch(im_self, ivec3(0, 0, 0), 0);
-  }
-  // self is of shape {*, 1}
-  else if (broadcast_at_width) {
-    self_texel = texelFetch(im_self, ivec3(0, pos.y, 0), 0);
-  }
-  // self is of shape {1, *}
-  else if (broadcast_at_height) {
-    self_texel = texelFetch(im_self, ivec3(pos.x, 0, 0), 0);
-  } else {
-    self_texel = texelFetch(im_self, ivec3(pos.x, pos.y, 0), 0);
-  }
-
-  return self_texel;
-}
-
-FloatMatrix_2d matmul_partial_2d(
-    sampler3D im_mat1,
-    sampler3D im_mat2,
-    const ivec3 pos,
-    const int batch_size,
-    const int K_texel_len) {
-  FloatMatrix_2d results;
-  for (int i = 0; i < TILE_ROWS; i++) {
-    for (int j = 0; j < FOUR; j++) {
-      results.data[i][j] = 0.0f;
-    }
-  }
-  vec4 im_mat1_partial_load[TILE_ROWS];
-  vec4 im_mat2_partial_load[FOUR];
-
-  for (int mat1_x = 0; mat1_x < K_texel_len; mat1_x++) {
-    for (int offset = 0; offset < TILE_ROWS; offset++) {
-      // read and cache 2x4 (or 4x4) tile of im_mat1
-      const int mat1_y = (TILE_ROWS * pos.y) + offset;
-      const ivec3 mat1_pos = ivec3(mat1_x, mat1_y, 0);
-      im_mat1_partial_load[offset] = texelFetch(im_mat1, mat1_pos, 0);
-      // read and cache 4x4 tile of im_mat2
-#ifdef MAT2_IS_TRANSPOSED
-      const int mat2_y = (FOUR * pos.x) + offset;
-      const ivec3 mat2_pos = ivec3(mat1_x, mat2_y, 0);
-      im_mat2_partial_load[offset] = texelFetch(im_mat2, mat2_pos, 0);
-#else
-      const int mat2_x = (FOUR * pos.x) + offset;
-      const ivec3 mat2_pos = ivec3(mat2_x, mat1_x, 0);
-      im_mat2_partial_load[offset] = texelFetch(im_mat2, mat2_pos, 0);
-#endif
-    }
-
-#ifdef TILE_ROW_2
-// column 3 and 4 of im_mat2
-#ifdef MAT2_IS_TRANSPOSED
-    im_mat2_partial_load[2] =
-        texelFetch(im_mat2, ivec3(mat1_x, (FOUR * pos.x) + 2, 0), 0);
-    im_mat2_partial_load[3] =
-        texelFetch(im_mat2, ivec3(mat1_x, (FOUR * pos.x) + 3, 0), 0);
-#else
-    im_mat2_partial_load[2] =
-        texelFetch(im_mat2, ivec3((FOUR * pos.x) + 2, mat1_x, 0), 0);
-    im_mat2_partial_load[3] =
-        texelFetch(im_mat2, ivec3((FOUR * pos.x) + 3, mat1_x, 0), 0);
-#endif
-#endif
-
-    // perform partial dot products and add partial result to results
-    for (int out_row = 0; out_row < TILE_ROWS; out_row++) {
-      for (int out_col = 0; out_col < FOUR; out_col++) {
-        results.data[out_row][out_col] +=
-            dot(im_mat1_partial_load[out_row], im_mat2_partial_load[out_col]);
-      }
-    }
-  }
-  return results;
-}
-
-FloatMatrix_3d matmul_partial_3d(
-    sampler3D im_mat1,
-    sampler3D im_mat2,
-    const ivec3 pos,
-    const int batch_size,
-    const int K_texel_len) {
-  FloatMatrix_3d results;
-  for (int i = 0; i < TILE_ROWS; i++) {
-    for (int j = 0; j < FOUR; j++) {
-      for (int k = 0; k < FOUR; k++) {
-        results.data[i][j][k] = 0.0f;
-      }
-    }
-  }
-  vec4 im_mat1_partial_load[TILE_ROWS];
-  vec4 im_mat2_partial_load[FOUR];
-
-  for (int batch_idx = 0; batch_idx < FOUR; batch_idx++) {
-    if (FOUR * pos.z + batch_idx >= batch_size) {
-      break;
-    }
-    int mat_z = FOUR * pos.z + batch_idx;
-    for (int mat1_x = 0; mat1_x < K_texel_len; mat1_x++) {
-      for (int offset = 0; offset < TILE_ROWS; offset++) {
-        // read and cache 2x4 (or 4x4) tile of im_mat1
-        const int mat1_y = (TILE_ROWS * pos.y) + offset;
-        const ivec3 mat1_pos = ivec3(mat1_x, mat1_y, mat_z);
-        im_mat1_partial_load[offset] = texelFetch(im_mat1, mat1_pos, 0);
-        // read and cache 4x4 tile of im_mat2
-#ifdef MAT2_IS_TRANSPOSED
-        const int mat2_y = (FOUR * pos.x) + offset;
-        const ivec3 mat2_pos = ivec3(mat1_x, mat2_y, 0);
-        im_mat2_partial_load[offset] = texelFetch(im_mat2, mat2_pos, 0);
-#else
-        const int mat2_x = (FOUR * pos.x) + offset;
-        const ivec3 mat2_pos = ivec3(mat2_x, mat1_x, mat_z);
-        im_mat2_partial_load[offset] = texelFetch(im_mat2, mat2_pos, 0);
-#endif
-      }
-
-#ifdef TILE_ROW_2
-// column 3, and 4 of im_mat2
-#ifdef MAT2_IS_TRANSPOSED
-      im_mat2_partial_load[2] =
-          texelFetch(im_mat2, ivec3(mat1_x, (FOUR * pos.x) + 2, 0), 0);
-      im_mat2_partial_load[3] =
-          texelFetch(im_mat2, ivec3(mat1_x, (FOUR * pos.x) + 3, 0), 0);
-#else
-      im_mat2_partial_load[2] =
-          texelFetch(im_mat2, ivec3((FOUR * pos.x) + 2, mat1_x, mat_z), 0);
-      im_mat2_partial_load[3] =
-          texelFetch(im_mat2, ivec3((FOUR * pos.x) + 3, mat1_x, mat_z), 0);
-#endif
-#endif
-
-      // perform partial dot products and add partial result to results
-      for (int out_row = 0; out_row < TILE_ROWS; out_row++) {
-        for (int out_col = 0; out_col < FOUR; out_col++) {
-          results.data[out_row][out_col][batch_idx] +=
-              dot(im_mat1_partial_load[out_row], im_mat2_partial_load[out_col]);
-        }
-      }
-    }
-  }
-  return results;
-}
diff --git a/backends/vulkan/runtime/graph/ops/glsl/matmul_naive.glsl b/backends/vulkan/runtime/graph/ops/glsl/matmul_naive.glsl
deleted file mode 100644
index 37a9b60f3c..0000000000
--- a/backends/vulkan/runtime/graph/ops/glsl/matmul_naive.glsl
+++ /dev/null
@@ -1,61 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#version 450 core
-
-#define PRECISION ${PRECISION}
-
-$if MAT2_IS_TRANSPOSED:
-  #define MAT2_IS_TRANSPOSED
-
-#include "indexing_utils.h"
-#include "matmul.h"
-
-layout(set = 0, binding = 0, ${IMAGE_FORMAT[DTYPE]}) uniform PRECISION restrict writeonly image3D im_out;
-layout(set = 0, binding = 1) uniform PRECISION ${SAMPLER_T[NDIM][DTYPE]} im_mat1;
-layout(set = 0, binding = 2) uniform PRECISION ${SAMPLER_T[NDIM][DTYPE]} im_mat2;
-
-layout(set = 0, binding = 3) uniform PRECISION restrict OutLimits {
-  ivec3 out_limits;
-};
-
-layout(set = 0, binding = 4) uniform PRECISION restrict InSizes {
-  ivec4 in_sizes;
-};
-
-layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
-
-void main() {
-  const ivec3 pos = ivec3(gl_GlobalInvocationID);
-
-  if (any(greaterThanEqual(pos, out_limits))) {
-    return;
-  }
-
-  vec4 texel = vec4(0);
-
-  $if MAT1_PACKING == "W_packed":
-    $if MAT2_PACKING == "H_packed":
-      texel = matmul_naive_W_packed_H_packed(
-          im_mat1,
-          im_mat2,
-          pos,
-          in_sizes[0]);
-    $elif MAT2_PACKING == "W_packed":
-      texel = matmul_naive_W_packed_W_packed(
-          im_mat1,
-          im_mat2,
-          pos,
-          in_sizes[0]);
-    $else:
-      $raise Exception("Unsupported value for MAT2_PACKING")
-  $else:
-    $raise Exception("Unsupported value combo for MAT1_PACKING and MAT2_PACKING")
-
-  imageStore(im_out, pos, texel);
-}
diff --git a/backends/vulkan/runtime/graph/ops/glsl/matmul_naive.yaml b/backends/vulkan/runtime/graph/ops/glsl/matmul_naive.yaml
deleted file mode 100644
index 1c4db3f0ce..0000000000
--- a/backends/vulkan/runtime/graph/ops/glsl/matmul_naive.yaml
+++ /dev/null
@@ -1,24 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-matmul_naive:
-  parameter_names_with_default_values:
-    DTYPE: float
-    NDIM: 3
-    MAT1_PACKING: W_packed
-    MAT2_PACKING: H_packed
-    MAT2_IS_TRANSPOSED: false
-  generate_variant_forall:
-    DTYPE:
-      - VALUE: float
-      - VALUE: half
-  shader_variants:
-    - NAME: matmul_naive_W_packed_H_packed
-    - NAME: matmul_naive_W_packed_W_packed
-      MAT2_PACKING: W_packed
-    - NAME: matmul_transposed_naive_W_packed_W_packed
-      MAT2_PACKING: W_packed
-      MAT2_IS_TRANSPOSED: true
diff --git a/backends/vulkan/runtime/graph/ops/glsl/matmul_naive_buffer.glsl b/backends/vulkan/runtime/graph/ops/glsl/matmul_naive_buffer.glsl
new file mode 100644
index 0000000000..e4064eed2f
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/matmul_naive_buffer.glsl
@@ -0,0 +1,60 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#version 450 core
+
+#define PRECISION ${PRECISION}
+
+#define T ${buffer_scalar_type(DTYPE)}
+
+${define_required_extensions(DTYPE)}
+
+layout(std430) buffer;
+
+${layout_declare_tensor(0, "w", "t_out", DTYPE, "buffer")}
+${layout_declare_tensor(1, "r", "t_mat1", DTYPE, "buffer")}
+${layout_declare_tensor(2, "r", "t_mat2", DTYPE, "buffer")}
+${layout_declare_ubo(3, "ivec4", "out_sizes")}
+${layout_declare_ubo(4, "ivec4", "out_strides")}
+${layout_declare_ubo(5, "ivec4", "mat1_sizes")}
+${layout_declare_ubo(6, "ivec4", "mat1_strides")}
+${layout_declare_ubo(7, "ivec4", "mat2_sizes")}
+${layout_declare_ubo(8, "ivec4", "mat2_strides")}
+${layout_declare_ubo(9, "int", "out_numel")}
+
+#include "indexing_utils.h"
+
+layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
+
+void main() {
+  const ivec4 out_bufix = ivec4(
+      gl_GlobalInvocationID.x,
+      gl_GlobalInvocationID.y,
+      gl_GlobalInvocationID.z % out_sizes.z,
+      gl_GlobalInvocationID.z / out_sizes.z);
+
+  if (any(greaterThanEqual(out_bufix, out_sizes))) {
+    return;
+  }
+
+  int mat1_bufi = tidx_to_bufi(
+      ivec4(0, out_bufix.y, out_bufix.z, out_bufix.w), mat1_strides);
+  int mat2_bufi = tidx_to_bufi(
+      ivec4(out_bufix.x, 0, out_bufix.z, out_bufix.w), mat2_strides);
+
+  T sum = T(0.0);
+  for (int i = 0; i < mat1_sizes.x; ++i) {
+    sum += t_mat1[mat1_bufi] * t_mat2[mat2_bufi];
+
+    mat1_bufi += mat1_strides.x;
+    mat2_bufi += mat2_strides.y;
+  }
+
+  const int out_bufi = tidx_to_bufi(out_bufix, out_strides);
+  t_out[out_bufi] = T(sum);
+}
diff --git a/backends/vulkan/runtime/graph/ops/glsl/matmul_naive_buffer.yaml b/backends/vulkan/runtime/graph/ops/glsl/matmul_naive_buffer.yaml
new file mode 100644
index 0000000000..54eb444f73
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/matmul_naive_buffer.yaml
@@ -0,0 +1,16 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+matmul_naive_buffer:
+  parameter_names_with_default_values:
+    DTYPE: float
+    STORAGE: buffer
+  generate_variant_forall:
+    DTYPE:
+      - VALUE: float
+      - VALUE: half
+  shader_variants:
+    - NAME: matmul_naive_buffer
diff --git a/backends/vulkan/runtime/graph/ops/glsl/matmul_optimized.glsl b/backends/vulkan/runtime/graph/ops/glsl/matmul_optimized.glsl
deleted file mode 100644
index 8634371a7b..0000000000
--- a/backends/vulkan/runtime/graph/ops/glsl/matmul_optimized.glsl
+++ /dev/null
@@ -1,87 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#version 450 core
-
-#define PRECISION ${PRECISION}
-
-$if MAT2_IS_TRANSPOSED:
-  #define MAT2_IS_TRANSPOSED
-
-$if BATCH_MODE:
-  #define BATCH_MODE
-
-$if TILE_ROW == "tile_row_2":
-  #define TILE_ROW_2
-
-#include "indexing_utils.h"
-#include "matmul.h"
-
-layout(set = 0, binding = 0, ${IMAGE_FORMAT[DTYPE]}) uniform PRECISION restrict writeonly image3D im_out;
-layout(set = 0, binding = 1) uniform PRECISION ${SAMPLER_T[NDIM][DTYPE]} im_mat1;
-layout(set = 0, binding = 2) uniform PRECISION ${SAMPLER_T[NDIM][DTYPE]} im_mat2;
-
-layout(set = 0, binding = 3) uniform PRECISION restrict OutLimits {
-  ivec3 out_limits;
-};
-
-layout(set = 0, binding = 4) uniform PRECISION restrict OutSizes {
-  ivec4 out_sizes;
-};
-
-layout(set = 0, binding = 5) uniform PRECISION restrict InLimits {
-  ivec3 in_limits;
-};
-
-layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
-
-void main() {
-  const ivec3 pos = ivec3(gl_GlobalInvocationID);
-
-  if (any(greaterThanEqual(pos, out_limits))) {
-    return;
-  }
-
-  $if BATCH_MODE:
-    FloatMatrix_3d results = matmul_partial_3d(
-        im_mat1,
-        im_mat2,
-        pos,
-        out_sizes[2],
-        in_limits[0]);
-  $else:
-    FloatMatrix_2d results = matmul_partial_2d(
-        im_mat1,
-        im_mat2,
-        pos,
-        out_sizes[2],
-        in_limits[0]);
-
-  for (int idx_c = 0; idx_c < TILE_ROWS; idx_c++) {
-    for (int idx_r = 0; idx_r < FOUR; idx_r++) {
-      const ivec3 out_pos =
-          ivec3(idx_r + FOUR * pos.x, idx_c + TILE_ROWS * pos.y, pos.z);
-
-      // results is in transposed order w.r.t. the desired output
-      $if BATCH_MODE:
-        imageStore(
-          im_out,
-          out_pos,
-          vec4(
-              results.data[idx_c][idx_r][0],
-              results.data[idx_c][idx_r][1],
-              results.data[idx_c][idx_r][2],
-              results.data[idx_c][idx_r][3]));
-      $else:
-        imageStore(
-            im_out,
-            out_pos,
-            vec4(results.data[idx_c][idx_r], 0.0, 0.0, 0.0));
-    }
-  }
-}
diff --git a/backends/vulkan/runtime/graph/ops/glsl/matmul_optimized.yaml b/backends/vulkan/runtime/graph/ops/glsl/matmul_optimized.yaml
deleted file mode 100644
index 9268d5a25a..0000000000
--- a/backends/vulkan/runtime/graph/ops/glsl/matmul_optimized.yaml
+++ /dev/null
@@ -1,30 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-matmul_optimized:
-  parameter_names_with_default_values:
-    DTYPE: float
-    NDIM: 3
-    PACKING: C_packed
-    MAT2_IS_TRANSPOSED: false
-    BATCH_MODE: false
-    TILE_ROW: tile_row_4
-  generate_variant_forall:
-    TILE_ROW:
-      - VALUE: tile_row_4
-      - VALUE: tile_row_2
-    DTYPE:
-      - VALUE: float
-      - VALUE: half
-  shader_variants:
-    - NAME: matmul_optimized
-    - NAME: matmul_transposed_optimized
-      MAT2_IS_TRANSPOSED: true
-    - NAME: batch_matmul_optimized
-      BATCH_MODE: true
-    - NAME: batch_matmul_transposed_optimized
-      MAT2_IS_TRANSPOSED: true
-      BATCH_MODE: true
diff --git a/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.glsl b/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.glsl
new file mode 100644
index 0000000000..ea4e0d300c
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.glsl
@@ -0,0 +1,35 @@
+#version 450 core
+
+#define PRECISION ${PRECISION}
+
+#define T ${buffer_scalar_type(DTYPE)}
+
+#include "indexing_utils.h"
+
+${define_required_extensions(DTYPE)}
+
+layout(std430) buffer;
+
+${layout_declare_tensor(0, "w", "t_out", DTYPE, STORAGE)}
+${layout_declare_tensor(1, "r", "nchw_in", DTYPE, STORAGE)}
+${layout_declare_ubo(2, "ivec4", "out_sizes")}
+${layout_declare_ubo(3, "ivec4", "out_strides")}
+${layout_declare_ubo(4, "int", "numel")}
+
+layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
+
+// This constant is unused in this shader but is kept so that the signature is
+// consistent with nchw_to_image.
+layout(constant_id = 3) const int UNUSED_packed_dim = W_DIM;
+
+void main() {
+  int out_bufi = int(gl_GlobalInvocationID.x);
+  if (out_bufi >= numel) {
+    return;
+  }
+
+  ivec4 out_tidx = bufi_to_tidx(out_bufi, out_strides);
+  const int in_nchwi = tidx_to_nchwi(out_tidx, out_sizes);
+
+  t_out[out_bufi] = nchw_in[in_nchwi];
+}
diff --git a/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml b/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml
new file mode 100644
index 0000000000..6292ef9333
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml
@@ -0,0 +1,18 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+nchw_to_buffer:
+  parameter_names_with_default_values:
+    DTYPE: float
+    STORAGE: buffer
+  generate_variant_forall:
+    DTYPE:
+      - VALUE: half
+      - VALUE: float
+      - VALUE: int
+      - VALUE: int8
+  shader_variants:
+    - NAME: nchw_to_buffer
diff --git a/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.glsl b/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.glsl
new file mode 100644
index 0000000000..b86a59fc23
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.glsl
@@ -0,0 +1,63 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#version 450 core
+
+#define PRECISION ${PRECISION}
+
+#define VEC4_T ${texel_load_type(DTYPE, STORAGE)}
+#define SCALAR_T ${texel_load_component_type(DTYPE, STORAGE)}
+
+${define_active_storage_type(STORAGE)}
+
+#include "indexing_utils.h"
+
+${define_required_extensions(DTYPE)}
+
+layout(std430) buffer;
+
+${layout_declare_tensor(B, "w", "t_out", DTYPE, STORAGE)}
+${layout_declare_buffer(B, "r", "nchw_in", DTYPE)}
+${layout_declare_ubo(B, "ivec4", "sizes")}
+${layout_declare_ubo(B, "ivec4", "axis_map")}
+
+layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
+
+layout(constant_id = 3) const int packed_dim = C_DIM;
+
+VEC4_T read_texel(ivec4 tidx) {
+  const ivec4 buf_indices = tidx_to_nchwi(
+      tidx,
+      sizes,
+      packed_dim);
+
+  VEC4_T texel = VEC4_T(0);
+  if (tidx[packed_dim] < sizes[packed_dim]) {
+    texel.x = SCALAR_T(nchw_in[buf_indices.x]);
+  }
+  if (tidx[packed_dim] + 1 < sizes[packed_dim]) {
+    texel.y = SCALAR_T(nchw_in[buf_indices.y]);
+  }
+  if (tidx[packed_dim] + 2 < sizes[packed_dim]) {
+    texel.z = SCALAR_T(nchw_in[buf_indices.z]);
+  }
+  if (tidx[packed_dim] + 3 < sizes[packed_dim]) {
+    texel.w = SCALAR_T(nchw_in[buf_indices.w]);
+  }
+  return texel;
+}
+
+void main() {
+  const ivec3 lpos = ivec3(gl_GlobalInvocationID);
+  const ivec4 tidx = lpos_to_tidx(lpos, sizes, axis_map.w, packed_dim);
+  if (any(greaterThanEqual(tidx, sizes))) {
+    return;
+  }
+
+  write_texel(t_out, lpos_to_pos(lpos, axis_map), read_texel(tidx));
+}
diff --git a/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml b/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml
new file mode 100644
index 0000000000..2bf85a7492
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml
@@ -0,0 +1,21 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+nchw_to_image:
+  parameter_names_with_default_values:
+    STORAGE: texture3d
+    DTYPE: float
+  generate_variant_forall:
+    DTYPE:
+      - VALUE: half
+      - VALUE: float
+      - VALUE: int
+      - VALUE: int8
+    STORAGE:
+      - VALUE: texture3d
+      - VALUE: texture2d
+  shader_variants:
+    - NAME: nchw_to_image
diff --git a/backends/vulkan/runtime/graph/ops/glsl/nchw_to_int8_image_noint8.glsl b/backends/vulkan/runtime/graph/ops/glsl/nchw_to_int8_image_noint8.glsl
new file mode 100644
index 0000000000..f3a3370f3b
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/nchw_to_int8_image_noint8.glsl
@@ -0,0 +1,75 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#version 450 core
+
+#define PRECISION ${PRECISION}
+
+#include "indexing_utils.h"
+
+layout(std430) buffer;
+
+#extension GL_EXT_control_flow_attributes : require
+
+${layout_declare_tensor(B, "w", "t_out", "int8", "texture3d")}
+${layout_declare_buffer(B, "r", "nchw_in", "int")}
+${layout_declare_ubo(B, "ivec4", "sizes")}
+${layout_declare_ubo(B, "ivec4", "axis_map")}
+
+layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
+
+layout(constant_id = 3) const int packed_dim = C_DIM;
+
+/*
+ * Extends sign of int8
+ */
+int extend_sign(int x) {
+  if (x >> 7 == 1) {
+    return x | 0xFFFFFF00;
+  }
+  return x;
+}
+
+ivec4 read_texel(ivec4 tidx) {
+  const ivec4 buf_indices = tidx_to_nchwi(
+      tidx, sizes, packed_dim);
+
+  int shift = (1 << 8) - 1;
+  ivec4 masks;
+  // Masks used to unpack 4x 8-bit values from a 32 bit integer. Note that
+  // little endian is assumed, as most processors use little endian. Thus the
+  // most significant bytes correspond to the "latter" packed values.
+  masks.x = shift << (8 * (buf_indices.x % 4));
+  masks.y = shift << (8 * (buf_indices.y % 4));
+  masks.z = shift << (8 * (buf_indices.z % 4));
+  masks.w = shift << (8 * (buf_indices.w % 4));
+
+  ivec4 out_tex = ivec4(0);
+
+  [[unroll]] for (int i = 0; i < 4; ++i) {
+    if (tidx[packed_dim] + i < sizes[packed_dim]) {
+      int in_texel = nchw_in[buf_indices[i] / 4];
+      int extracted_val = (in_texel & masks[i]) >> (8 * (buf_indices[i] % 4));
+      extracted_val = extend_sign(extracted_val);
+      out_tex[i] = extracted_val;
+    }
+  }
+
+  return out_tex;
+}
+
+void main() {
+  const ivec3 lpos = ivec3(gl_GlobalInvocationID);
+  const ivec4 tidx = lpos_to_tidx(lpos, sizes, axis_map.w, packed_dim);
+
+  if (any(greaterThanEqual(tidx, sizes))) {
+    return;
+  }
+
+  write_texel(t_out, lpos_to_pos(lpos, axis_map), read_texel(tidx));
+}
diff --git a/backends/vulkan/runtime/graph/ops/glsl/nchw_to_tensor.glsl b/backends/vulkan/runtime/graph/ops/glsl/nchw_to_tensor.glsl
deleted file mode 100644
index c0bbc5183a..0000000000
--- a/backends/vulkan/runtime/graph/ops/glsl/nchw_to_tensor.glsl
+++ /dev/null
@@ -1,82 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#version 450 core
-
-#define PRECISION ${PRECISION}
-
-#define VEC4_T ${texel_load_type(DTYPE, STORAGE)}
-#define SCALAR_T ${texel_load_component_type(DTYPE, STORAGE)}
-
-${define_active_storage_type(STORAGE)}
-
-#include "indexing_utils.h"
-
-${define_required_extensions(DTYPE)}
-
-layout(std430) buffer;
-
-${layout_declare_tensor(0, "w", "t_out", DTYPE, STORAGE)}
-${layout_declare_buffer(1, "r", "nchw_in", DTYPE)}
-${layout_declare_ubo(2, "ivec4", "sizes")}
-$if STORAGE == "buffer":
-  ${layout_declare_ubo(3, "ivec4", "gpu_strides")}
-  ${layout_declare_ubo(4, "int", "ntexels")}
-
-layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
-
-layout(constant_id = 3) const int packed_dim = C_DIM;
-
-VEC4_T read_texel(ivec4 tensor_idx) {
-  const ivec4 buf_indices = get_texel_nchw_buffer_ixs(
-      tensor_idx,
-      sizes,
-      packed_dim);
-
-  VEC4_T texel = VEC4_T(0);
-  if (tensor_idx[packed_dim] < sizes[packed_dim]) {
-    texel.x = SCALAR_T(nchw_in[buf_indices.x]);
-  }
-  if (tensor_idx[packed_dim] + 1 < sizes[packed_dim]) {
-    texel.y = SCALAR_T(nchw_in[buf_indices.y]);
-  }
-  if (tensor_idx[packed_dim] + 2 < sizes[packed_dim]) {
-    texel.z = SCALAR_T(nchw_in[buf_indices.z]);
-  }
-  if (tensor_idx[packed_dim] + 3 < sizes[packed_dim]) {
-    texel.w = SCALAR_T(nchw_in[buf_indices.w]);
-  }
-  return texel;
-}
-
-#ifdef USING_BUFFER
-
-void main() {
-  const int t_id = int(gl_GlobalInvocationID.x);
-  if (t_id >= ntexels) {
-    return;
-  }
-
-  ivec4 tensor_idx = to_texel_pos(t_id, gpu_strides, packed_dim);
-  tensor_idx[packed_dim] *= 4;
-  t_out[t_id] = read_texel(tensor_idx);
-}
-
-#else // USING_TEXTURE
-
-void main() {
-  const ivec3 pos = ivec3(gl_GlobalInvocationID);
-  const ivec4 tensor_idx = to_tensor_idx(pos, sizes, packed_dim);
-  if (any(greaterThanEqual(tensor_idx, sizes))) {
-    return;
-  }
-
-  write_texel(t_out, pos, read_texel(tensor_idx));
-}
-
-#endif // USING_BUFFER
diff --git a/backends/vulkan/runtime/graph/ops/glsl/nchw_to_tensor.yaml b/backends/vulkan/runtime/graph/ops/glsl/nchw_to_tensor.yaml
deleted file mode 100644
index 96fe55dfb4..0000000000
--- a/backends/vulkan/runtime/graph/ops/glsl/nchw_to_tensor.yaml
+++ /dev/null
@@ -1,22 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-nchw_to_tensor:
-  parameter_names_with_default_values:
-    STORAGE: texture3d
-    DTYPE: float
-  generate_variant_forall:
-    DTYPE:
-      - VALUE: half
-      - VALUE: float
-      - VALUE: int
-      - VALUE: int8
-    STORAGE:
-      - VALUE: texture3d
-      - VALUE: texture2d
-      - VALUE: buffer
-  shader_variants:
-    - NAME: nchw_to_tensor
diff --git a/backends/vulkan/runtime/graph/ops/glsl/q_4w_linear.glsl b/backends/vulkan/runtime/graph/ops/glsl/q_4w_linear.glsl
new file mode 100644
index 0000000000..d07d45251f
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/q_4w_linear.glsl
@@ -0,0 +1,146 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#version 450 core
+
+#include "indexing_utils.h"
+
+#define PRECISION ${PRECISION}
+
+#define FOUR 4
+
+#define VEC4_T ${texel_load_type(DTYPE, STORAGE)}
+#define FLOAT_T ${buffer_scalar_type(DTYPE)}
+
+${define_active_storage_type(STORAGE)}
+
+${define_required_extensions(DTYPE)}
+${define_required_extensions("int8")}
+
+layout(std430) buffer;
+
+${layout_declare_tensor(0, "w", "t_out", DTYPE, STORAGE)}
+${layout_declare_tensor(1, "r", "t_mat1", DTYPE, STORAGE)}
+${layout_declare_tensor(2, "r", "t_mat2", "int8", STORAGE)}
+${layout_declare_tensor(3, "r", "t_scales_and_zeros", DTYPE, STORAGE)}
+
+$if STORAGE == "texture3d":
+  ${layout_declare_ubo(4, "ivec4", "out_sizes")}
+  ${layout_declare_ubo(5, "ivec4", "mat1_sizes")}
+  ${layout_declare_ubo(6, "ivec4", "scales_strides")}
+$else:
+  ${layout_declare_ubo(4, "ivec4", "out_sizes")}
+  ${layout_declare_ubo(5, "ivec4", "out_strides")}
+  ${layout_declare_ubo(6, "ivec4", "mat1_sizes")}
+  ${layout_declare_ubo(7, "ivec4", "mat1_strides")}
+  ${layout_declare_ubo(8, "ivec4", "mat2_strides")}
+  ${layout_declare_ubo(9, "ivec4", "scales_strides")}
+
+layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
+
+layout(constant_id = 3) const int group_size = 1;
+
+void main() {
+
+    const ivec4 out_pos = ivec4(
+      gl_GlobalInvocationID.x, // n = 0..N-1
+      gl_GlobalInvocationID.y, // m = 0..M-1
+      gl_GlobalInvocationID.z % out_sizes.z,
+      gl_GlobalInvocationID.z / out_sizes.z);
+
+    if (any(greaterThanEqual(out_pos, out_sizes))) {
+      return;
+    }
+
+    const uint K = mat1_sizes.x;
+    const uint n = out_pos.x;
+    const uint m = out_pos.y;
+    const uint mask = uint(0x0f);
+
+    float rc = 0.0;
+    int k = 0;
+
+    #ifdef USING_BUFFER
+      const uint k_block = (K + group_size - 1) / group_size;
+      ivec4 mat1_pos = ivec4(0, m, out_pos.z, out_pos.w);
+      ivec4 mat2_pos = ivec4(0, n, out_pos.z, out_pos.w);
+      ivec4 scale_pos = ivec4(0, n, 0, out_pos.w);
+      ivec4 zero_pos = ivec4(0, n, 1, out_pos.w);
+
+      for (int kb = 0; kb < k_block; kb++) {
+        scale_pos.x = kb;
+        const int scale_bufi = tidx_to_bufi(scale_pos, scales_strides);
+        const float scale = float(t_scales_and_zeros[scale_bufi]);
+
+        zero_pos.x = kb;
+        const int zero_bufi = tidx_to_bufi(zero_pos, scales_strides);
+        const float zero = float(t_scales_and_zeros[zero_bufi]) - scale * 8.0;
+
+        for(uint idx = 0; idx < group_size && k < K; idx++, k++) {
+          mat1_pos.x = k;
+          const int mat1_bufi = tidx_to_bufi(mat1_pos, mat1_strides);
+          const float mat1_val = float(t_mat1[mat1_bufi]);
+
+          mat2_pos.x = k / 2;
+          const int mat2_bufi = tidx_to_bufi(mat2_pos, mat2_strides);
+          // Bitwise op treats sign bit from int8 as a value bit instead,
+          // since there is no uint8_t datatype
+          uint mat2_val = (t_mat2[mat2_bufi] & 0xFF);
+          mat2_val = (k & 1) == 0 ? mat2_val & mask : (mat2_val >> 4);
+
+          rc += mat1_val * (scale * float(mat2_val) + zero);
+        }
+      }
+
+      const int out_bufi = tidx_to_bufi(out_pos, out_strides);
+      t_out[out_bufi] = FLOAT_T(rc);
+
+    #else // Using texture
+      const uint texel_group_size = group_size / FOUR;
+      const uint k_block = (K + texel_group_size - 1) / texel_group_size;
+      ivec3 mat1_pos = ivec3(0, m, out_pos.z);
+      ivec3 mat2_pos = ivec3(0, n, out_pos.z);
+      ivec3 scale_pos = ivec3(0, n, 0);
+      ivec3 zero_pos = ivec3(0, n, 1);
+
+      for (int kb = 0; kb < k_block; kb++) {
+        const int texel_kb = kb / FOUR;
+        const int kb_offset = kb % FOUR;
+
+        scale_pos.x = texel_kb;
+        const VEC4_T scale_texel = load_texel(t_scales_and_zeros, scale_pos);
+        const float scale = float(scale_texel[kb_offset]);
+
+        zero_pos.x = texel_kb;
+        const VEC4_T zero_texel = load_texel(t_scales_and_zeros, zero_pos);
+        const float zero = float(zero_texel[kb_offset]) - scale * 8.0;
+
+        for(uint idx = 0; idx < texel_group_size && k < K; idx++, k++) {
+          mat1_pos.x = k;
+          const VEC4_T mat1_tex = load_texel(t_mat1, mat1_pos);
+
+          mat2_pos.x = k / 2;
+          const i8vec4 mat2_tex = i8vec4(load_texel(t_mat2, mat2_pos));
+
+          // Every two texels of mat1 correspond to one texel of mat2
+          // Even mat1 indeces correspond to first half of mat2 texel and
+          // odd indeces correspond to second half
+          const int mat2_offset = (k & 1) == 0 ? 0 : 2;
+          for (int texel_idx = 0; texel_idx < FOUR; texel_idx++){
+            // Bitwise op treats sign bit from int8 as a value bit instead,
+            // since there is no uint8_t datatype
+            uint mat2_val = (mat2_tex[mat2_offset + texel_idx / 2] & 0xFF);
+            mat2_val = (texel_idx & 1) == 0 ? mat2_val & mask : (mat2_val >> 4);
+            rc += mat1_tex[texel_idx] * (scale * float(mat2_val) + zero);
+          }
+        }
+      }
+      write_texel(t_out, out_pos.xyz, vec4(rc, 0, 0, 0));
+
+    #endif
+}
diff --git a/backends/vulkan/runtime/graph/ops/glsl/q_4w_linear.yaml b/backends/vulkan/runtime/graph/ops/glsl/q_4w_linear.yaml
new file mode 100644
index 0000000000..fd65068080
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/glsl/q_4w_linear.yaml
@@ -0,0 +1,19 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+q_4w_linear:
+  parameter_names_with_default_values:
+    DTYPE: float
+    STORAGE: buffer
+  generate_variant_forall:
+    DTYPE:
+      - VALUE: float
+      - VALUE: half
+    STORAGE:
+      - VALUE: buffer
+      - VALUE: texture3d
+  shader_variants:
+    - NAME: q_4w_linear
diff --git a/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.glsl b/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.glsl
index 139c82866f..a72df89b63 100644
--- a/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.glsl
+++ b/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.glsl
@@ -11,6 +11,7 @@
 #define PRECISION ${PRECISION}
 
 #define VEC4_T ${texel_load_type(DTYPE, STORAGE)}
+#define FLOAT_T ${buffer_scalar_type(DTYPE)}
 
 ${define_active_storage_type(STORAGE)}
 
@@ -28,9 +29,9 @@ ${layout_declare_tensor(3, "r", "t_scales", DTYPE, STORAGE)}
 
 $if STORAGE == "buffer":
   ${layout_declare_ubo(4, "ivec4", "out_sizes")}
-  ${layout_declare_ubo(5, "int", "ntexels")}
-  ${layout_declare_ubo(6, "ivec4", "mat1_sizes")}
-  ${layout_declare_ubo(7, "ivec4", "out_strides")}
+  ${layout_declare_ubo(5, "ivec4", "out_strides")}
+  ${layout_declare_ubo(6, "int", "out_numel")}
+  ${layout_declare_ubo(7, "ivec4", "mat1_sizes")}
   ${layout_declare_ubo(8, "ivec4", "mat1_strides")}
   ${layout_declare_ubo(9, "ivec4", "qmat2_strides")}
   ${layout_declare_ubo(10, "ivec4", "scales_strides")}
@@ -48,15 +49,14 @@ layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
 #ifdef USING_BUFFER
 
 void main() {
-  const int t_id = int(gl_GlobalInvocationID.x);
-  if (t_id >= ntexels) {
+  const int out_bufi = int(gl_GlobalInvocationID.x);
+  if (out_bufi >= out_numel) {
     return;
   }
 
-  const ivec4 out_pos = to_texel_pos(t_id, out_strides, 0);
+  const ivec4 out_tidx = bufi_to_tidx(out_bufi, out_strides, 0);
 
-  VEC4_T outtex = q_8w_linear(out_pos, mat1_sizes.x);
-  write_texel(t_out, t_id, outtex);
+  t_out[out_bufi] = q_8w_linear(out_tidx, mat1_sizes.x);
 }
 
 #else // USING_TEXTURE
diff --git a/backends/vulkan/runtime/graph/ops/glsl/q_linear.h b/backends/vulkan/runtime/graph/ops/glsl/q_linear.h
index c1411376ad..f6de1e6dcf 100644
--- a/backends/vulkan/runtime/graph/ops/glsl/q_linear.h
+++ b/backends/vulkan/runtime/graph/ops/glsl/q_linear.h
@@ -16,36 +16,33 @@
 
 #ifdef USING_BUFFER
 
-VEC4_T q_8w_linear(const ivec4 out_pos, const int K) {
-  const VEC4_T scales = load_texel(t_scales, out_pos.x);
+#ifndef FLOAT_T
+#define FLOAT_T float
+#endif
 
-  VEC4_T outtex = VEC4_T(0);
+FLOAT_T q_8w_linear(const ivec4 out_idx, const int K) {
+  const FLOAT_T scale = t_scales[out_idx.x];
 
-  // Initial mat1 pos will be (0, out_pos.y, out_pos.z, 0)
-  int mat1_tid = out_pos.y * mat1_strides.y + out_pos.z * qmat2_strides.z;
-  // Initial qmat2 pos wil be (0, out_pos.x * 4, 0, 0)
-  int qmat2_tid = out_pos.x * 4 * qmat2_strides.y;
+  FLOAT_T outval = FLOAT_T(0.0);
 
-  // TODO(ssjia): optimize memory access pattern by traversing K in inner loop
-  for (int i = 0; i < K; i += 4) {
-    const VEC4_T mat1_tex = load_texel(t_mat1, mat1_tid);
+  // Initial mat1 tensor idx will be (0, out_idx.y, out_idx.z, 0)
+  int mat1_offset = out_idx.y * mat1_strides.y + out_idx.z * qmat2_strides.z;
+  // Initial qmat2 tensor idx wil be (0, out_idx.x, 0, 0); note that the qmat2
+  // tensor is transposed
+  int qmat2_offset = out_idx.x * qmat2_strides.y;
 
-    const VEC4_T sums = VEC4_T(
-        dot(mat1_tex, load_texel(t_qmat2, qmat2_tid) * scales.x),
-        dot(mat1_tex,
-            load_texel(t_qmat2, qmat2_tid + qmat2_strides.y) * scales.y),
-        dot(mat1_tex,
-            load_texel(t_qmat2, qmat2_tid + qmat2_strides.y * 2) * scales.z),
-        dot(mat1_tex,
-            load_texel(t_qmat2, qmat2_tid + qmat2_strides.y * 3) * scales.w));
+  // TODO(ssjia): optimize memory access pattern by traversing K in inner loop
+  for (int i = 0; i < K; i++) {
+    const FLOAT_T mat1_val = t_mat1[mat1_offset];
+    const FLOAT_T mat2_val = t_qmat2[qmat2_offset] * scale;
 
-    outtex += sums;
+    outval += mat1_val * mat2_val;
 
-    mat1_tid++;
-    qmat2_tid++;
+    mat1_offset++;
+    qmat2_offset++;
   }
 
-  return outtex;
+  return outval;
 }
 
 #else // USING_TEXTURE
diff --git a/backends/vulkan/runtime/graph/ops/glsl/slice_channel.glsl b/backends/vulkan/runtime/graph/ops/glsl/slice_channel.glsl
index d1562d6576..45e6c3358e 100644
--- a/backends/vulkan/runtime/graph/ops/glsl/slice_channel.glsl
+++ b/backends/vulkan/runtime/graph/ops/glsl/slice_channel.glsl
@@ -43,11 +43,11 @@ void main() {
   // we calculate the source whcn-coordinate amended with offset-ed channel
   // value.  Then we calculate the actual texture position from the
   // whcn-coordinate.
-  const ivec4 buf_indices = get_texel_nchw_buffer_ixs(idx, out_sizes, packed_dim);
+  const ivec4 buf_indices = tidx_to_nchwi(idx, out_sizes, packed_dim);
 
   vec4 outex;
   for (int i=0;i<4;i++) {
-      ivec4 user_coor = from_nchw_buffer_i(buf_indices[i], out_sizes);
+      ivec4 user_coor = nchwi_to_tidx(buf_indices[i], out_sizes);
 
       int in_channel = user_coor.z;
 
diff --git a/backends/vulkan/runtime/graph/ops/glsl/tensor_to_nchw.glsl b/backends/vulkan/runtime/graph/ops/glsl/tensor_to_nchw.glsl
deleted file mode 100644
index 78d8346428..0000000000
--- a/backends/vulkan/runtime/graph/ops/glsl/tensor_to_nchw.glsl
+++ /dev/null
@@ -1,83 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#version 450 core
-
-#define PRECISION ${PRECISION}
-
-#define BUF_T ${buffer_scalar_type(DTYPE)}
-#define VEC4_T ${texel_load_type(DTYPE, STORAGE)}
-
-${define_active_storage_type(STORAGE)}
-
-#include "indexing_utils.h"
-
-${define_required_extensions(DTYPE)}
-
-layout(std430) buffer;
-
-${layout_declare_tensor(0, "r", "t_in", DTYPE, STORAGE)}
-${layout_declare_buffer(1, "w", "nchw_out", DTYPE)}
-${layout_declare_ubo(2, "ivec4", "sizes")}
-$if STORAGE == "buffer":
-  ${layout_declare_ubo(3, "ivec4", "gpu_strides")}
-  ${layout_declare_ubo(4, "int", "ntexels")}
-
-layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
-
-layout(constant_id = 3) const int packed_dim = C_DIM;
-
-void write_out_texel(VEC4_T texel, ivec4 tensor_idx) {
-  const ivec4 buf_indices = get_texel_nchw_buffer_ixs(
-      tensor_idx,
-      sizes,
-      packed_dim);
-
-  if (tensor_idx[packed_dim] < sizes[packed_dim]) {
-    nchw_out[buf_indices.x] = BUF_T(texel.x);
-  }
-  if (tensor_idx[packed_dim] + 1 < sizes[packed_dim]) {
-    nchw_out[buf_indices.y] = BUF_T(texel.y);
-  }
-  if (tensor_idx[packed_dim] + 2 < sizes[packed_dim]) {
-    nchw_out[buf_indices.z] = BUF_T(texel.z);
-  }
-  if (tensor_idx[packed_dim] + 3 < sizes[packed_dim]) {
-    nchw_out[buf_indices.w] = BUF_T(texel.w);
-  }
-}
-
-#ifdef USING_BUFFER
-
-void main() {
-  const int t_id = int(gl_GlobalInvocationID.x);
-  if (t_id >= ntexels) {
-    return;
-  }
-
-  const VEC4_T intex = t_in[t_id];
-  ivec4 tensor_idx = to_texel_pos(t_id, gpu_strides, packed_dim);
-  tensor_idx[packed_dim] *= 4;
-  write_out_texel(intex, tensor_idx);
-}
-
-#else // USING_TEXTURE
-
-void main() {
-  const ivec3 pos = ivec3(gl_GlobalInvocationID);
-  const ivec4 tensor_idx = to_tensor_idx(pos, sizes, packed_dim);
-
-  if (any(greaterThanEqual(tensor_idx, sizes))) {
-    return;
-  }
-
-  const VEC4_T intex = load_texel(t_in, pos);
-  write_out_texel(intex, tensor_idx);
-}
-
-#endif
diff --git a/backends/vulkan/runtime/graph/ops/glsl/tensor_to_nchw.yaml b/backends/vulkan/runtime/graph/ops/glsl/tensor_to_nchw.yaml
deleted file mode 100644
index 93a261e1ee..0000000000
--- a/backends/vulkan/runtime/graph/ops/glsl/tensor_to_nchw.yaml
+++ /dev/null
@@ -1,22 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-tensor_to_nchw:
-  parameter_names_with_default_values:
-    DTYPE: float
-    STORAGE: texture3d
-  generate_variant_forall:
-    DTYPE:
-      - VALUE: half
-      - VALUE: float
-      - VALUE: int
-      - VALUE: int8
-    STORAGE:
-      - VALUE: texture3d
-      - VALUE: texture2d
-      - VALUE: buffer
-  shader_variants:
-    - NAME: tensor_to_nchw
diff --git a/backends/vulkan/runtime/graph/ops/glsl/unary_op.glsl b/backends/vulkan/runtime/graph/ops/glsl/unary_op.glsl
index 0cad62d38c..b645905939 100644
--- a/backends/vulkan/runtime/graph/ops/glsl/unary_op.glsl
+++ b/backends/vulkan/runtime/graph/ops/glsl/unary_op.glsl
@@ -11,6 +11,7 @@
 #define PRECISION ${PRECISION}
 
 #define VEC4_T ${texel_load_type(DTYPE, STORAGE)}
+#define T ${buffer_scalar_type(DTYPE)}
 
 #define op(X, A, B) ${OPERATOR}
 
@@ -18,46 +19,33 @@ ${define_active_storage_type(STORAGE)}
 
 #include "indexing_utils.h"
 
-$if DTYPE == "half" and STORAGE == "buffer":
-  #extension GL_EXT_shader_16bit_storage : require
-  #extension GL_EXT_shader_explicit_arithmetic_types_float16: require
+${define_required_extensions(DTYPE)}
 
 layout(std430) buffer;
 
 ${layout_declare_tensor(0, "w", "t_out", DTYPE, STORAGE)}
 ${layout_declare_tensor(1, "r", "t_in", DTYPE, STORAGE)}
 $if STORAGE == "buffer":
-  ${layout_declare_ubo(2, "int", "ntexels")}
+  ${layout_declare_ubo(2, "int", "numel")}
 $else:
   ${layout_declare_ubo(2, "ivec3", "out_limits")}
 ${layout_declare_ubo(3, "float", "minimum")}
 ${layout_declare_ubo(4, "float", "maximum")}
 
-
 layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
 
-float hardswish(float x){
-    if(x <= -3) {
-      return 0;
-    }
-    else if(x >= 3) {
-      return x;
-    }
-    else {
-      return x * (x + 3)/6;
-    }
-}
+#include "activations.h"
 
 #ifdef USING_BUFFER
 
 void main() {
   const int i = int(gl_GlobalInvocationID.x);
-  if (i >= ntexels) {
+  if (i >= numel) {
     return;
   }
 
-  vec4 in_texel = vec4(t_in[i]);
-  t_out[i] = VEC4_T(op(in_texel, minimum, maximum));
+  float in_val = float(t_in[i]);
+  t_out[i] = T(op(in_val, minimum, maximum));
 }
 
 #else
diff --git a/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml b/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml
index f39abc2134..2b9f0032f4 100644
--- a/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml
+++ b/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml
@@ -35,6 +35,8 @@ unary_op:
     - NAME: tanh
       OPERATOR: tanh(clamp(X, -15.0, 15.0))
     - NAME: hardshrink
-      OPERATOR: X * (vec4(greaterThan(X, vec4(A))) + vec4(lessThan(X, vec4(B))))
+      OPERATOR: hardshrink(X, A, B)
     - NAME: hardswish
-      OPERATOR: vec4(hardswish(X.x),hardswish(X.y),hardswish(X.z),hardswish(X.w))
+      OPERATOR: hardswish(X)
+    - NAME: hardsigmoid
+      OPERATOR: hardsigmoid(X)
diff --git a/backends/vulkan/runtime/graph/ops/glsl/view.glsl b/backends/vulkan/runtime/graph/ops/glsl/view.glsl
index 0b0f587d1d..8d45e65b39 100644
--- a/backends/vulkan/runtime/graph/ops/glsl/view.glsl
+++ b/backends/vulkan/runtime/graph/ops/glsl/view.glsl
@@ -39,13 +39,13 @@ void main() {
   // Assume there is a virtual continous buffer in nchw format. From the output
   // pos, we first calculate the index in the virual buffer, and then calculate
   // the input position from the indx.
-  const ivec4 buf_indices = get_texel_nchw_buffer_ixs(out_tensor_idx, out_sizes, out_packed_dim);
+  const ivec4 buf_indices = tidx_to_nchwi(out_tensor_idx, out_sizes, out_packed_dim);
 
   VEC4_T value = VEC4_T(0);
   // Need to look up the 4 values in the output texel separately.
   for (int i = 0 ; i < 4; i++) {
     if (out_tensor_idx[out_packed_dim]++ < out_sizes[out_packed_dim]) {
-      ivec4 user_coor = from_nchw_buffer_i(buf_indices[i], in_sizes);
+      ivec4 user_coor = nchwi_to_tidx(buf_indices[i], in_sizes);
       ivec4 in_pos_elem = to_texture_elem_pos(user_coor, in_sizes, in_packed_dim);
       VEC4_T intex = texelFetch(t_in, in_pos_elem.xyz, 0);
       value[i] = intex[in_pos_elem.w];
diff --git a/backends/vulkan/runtime/graph/ops/impl/BatchNorm.cpp b/backends/vulkan/runtime/graph/ops/impl/BatchNorm.cpp
index 8e346bd208..eb0f1f99a2 100644
--- a/backends/vulkan/runtime/graph/ops/impl/BatchNorm.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/BatchNorm.cpp
@@ -88,7 +88,7 @@ void add_native_batch_norm_node(
       {{out_ref, vkapi::MemoryAccessType::WRITE},
        {{in_ref, arg_weight, arg_bias, arg_mean, arg_var},
         vkapi::MemoryAccessType::READ}},
-      {t_out->texture_limits_ubo(),
+      {t_out->logical_limits_ubo(),
        graph.create_params_buffer(epsilon),
        graph.create_params_buffer(num_texel_per_batch)}));
 }
diff --git a/backends/vulkan/runtime/graph/ops/impl/BinaryOp.cpp b/backends/vulkan/runtime/graph/ops/impl/BinaryOp.cpp
index 6bab8d1911..5896297144 100644
--- a/backends/vulkan/runtime/graph/ops/impl/BinaryOp.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/BinaryOp.cpp
@@ -85,8 +85,11 @@ void add_binary_op_node(
        {{arg1, arg2}, vkapi::MemoryAccessType::READ}},
       // Shader params buffers
       {t_out->sizes_ubo(),
+       t_out->axis_map_ubo(),
        t_in1->sizes_ubo(),
+       t_in1->axis_map_ubo(),
        t_in2->sizes_ubo(),
+       t_in2->axis_map_ubo(),
        graph.create_params_buffer(broadcast_params),
        graph.create_params_buffer(alpha_val)},
       // Specialization Constants
diff --git a/backends/vulkan/runtime/graph/ops/impl/Cat.cpp b/backends/vulkan/runtime/graph/ops/impl/Cat.cpp
index 04acec5937..a06af37bf0 100644
--- a/backends/vulkan/runtime/graph/ops/impl/Cat.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/Cat.cpp
@@ -40,10 +40,10 @@ void add_cat_default_node(
 
     for (ValueRef input_ref : *input_list) {
       vTensorPtr t_in = graph.get_tensor(input_ref);
-      utils::ivec3 range = t_in->texture_limits();
+      utils::ivec3 range = t_in->logical_limits();
       add_copy_offset_node(
           graph, input_ref, range, src_offset, dst_offset, out);
-      dst_offset.data[0] += range.data[0];
+      dst_offset[0] += range[0];
     }
 
   } else if (dim_index == kHeight4D) {
@@ -52,10 +52,10 @@ void add_cat_default_node(
 
     for (ValueRef input_ref : *input_list) {
       vTensorPtr t_in = graph.get_tensor(input_ref);
-      utils::ivec3 range = t_in->texture_limits();
+      utils::ivec3 range = t_in->logical_limits();
       add_copy_offset_node(
           graph, input_ref, range, src_offset, dst_offset, out);
-      dst_offset.data[1] += range.data[1];
+      dst_offset[1] += range[1];
     }
   } else if (dim_index == kBatch4D) {
     utils::ivec3 src_offset = utils::make_ivec3({0, 0, 0}, false);
@@ -63,10 +63,10 @@ void add_cat_default_node(
 
     for (ValueRef input_ref : *input_list) {
       vTensorPtr t_in = graph.get_tensor(input_ref);
-      utils::ivec3 range = t_in->texture_limits();
+      utils::ivec3 range = t_in->logical_limits();
       add_copy_offset_node(
           graph, input_ref, range, src_offset, dst_offset, out);
-      dst_offset.data[2] += range.data[2];
+      dst_offset[2] += range[2];
     }
   } else if (dim_index == kChannel4D) {
     int32_t src_offset = 0;
diff --git a/backends/vulkan/runtime/graph/ops/impl/Clone.cpp b/backends/vulkan/runtime/graph/ops/impl/Clone.cpp
index cef751bc7c..946a0c9f40 100644
--- a/backends/vulkan/runtime/graph/ops/impl/Clone.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/Clone.cpp
@@ -32,7 +32,7 @@ void add_clone_node(
       graph.create_local_wg_size(out),
       {{out, vkapi::MemoryAccessType::WRITE},
        {in, vkapi::MemoryAccessType::READ}},
-      {t_out->texture_limits_ubo()}));
+      {t_out->logical_limits_ubo()}));
 }
 
 void clone(ComputeGraph& graph, const std::vector<ValueRef>& args) {
diff --git a/backends/vulkan/runtime/graph/ops/impl/Convolution.cpp b/backends/vulkan/runtime/graph/ops/impl/Convolution.cpp
index cbee886ad2..6ce905a12f 100644
--- a/backends/vulkan/runtime/graph/ops/impl/Convolution.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/Convolution.cpp
@@ -106,7 +106,7 @@ ValueRef prepack_biases(
       graph.create_local_wg_size(v),
       vref,
       v,
-      {t->sizes_ubo()},
+      {t->sizes_ubo(), t->axis_map_ubo()},
       // Specialization constants
       {SV(t->packed_dim_whcn_idx())}));
 
@@ -242,10 +242,8 @@ Conv2dParams create_conv2d_params(
     const Kernel2dParams& p,
     const bool transposed) {
   const auto& overlay_region = utils::make_ivec2({
-      p.kernel_size.data[0] +
-          (p.kernel_size.data[0] - 1) * (p.dilation.data[0] - 1),
-      p.kernel_size.data[1] +
-          (p.kernel_size.data[1] - 1) * (p.dilation.data[1] - 1),
+      p.kernel_size[0] + (p.kernel_size[0] - 1) * (p.dilation[0] - 1),
+      p.kernel_size[1] + (p.kernel_size[1] - 1) * (p.dilation[1] - 1),
   });
   const auto weight_sizes = graph.sizes_of(weight);
   const int32_t in_group_size = utils::safe_downcast<int32_t>(
@@ -255,15 +253,13 @@ Conv2dParams create_conv2d_params(
 
 void check_conv2d_params(const Kernel2dParams& p, const bool transposed) {
   if (transposed) {
-    if (p.dilation.data[0] > 1 || p.dilation.data[1] > 1) {
+    if (p.dilation[0] > 1 || p.dilation[1] > 1) {
       VK_THROW(
           "aten.convolution.default: transposed = true, dilation > 1 is not supported yet!");
     }
   }
-  if ((p.padding.data[0] > 0 && p.kernel_size.data[0] > 1 &&
-       p.dilation.data[0] > 1) ||
-      (p.padding.data[1] > 0 && p.kernel_size.data[1] > 1 &&
-       p.dilation.data[1] > 1)) {
+  if ((p.padding[0] > 0 && p.kernel_size[0] > 1 && p.dilation[0] > 1) ||
+      (p.padding[1] > 0 && p.kernel_size[1] > 1 && p.dilation[1] > 1)) {
     VK_THROW(
         "aten.convolution.default: padding > 0 while dilation, kernel_size > 1 is not supported yet!");
   }
@@ -295,11 +291,11 @@ utils::uvec3 create_conv2d_global_wg_size(
     const Conv2dMethod method,
     const ValueRef out) {
   if (method == Conv2dMethod::Pointwise) {
-    const utils::uvec3 image_extents = graph.image_extents_of(out);
+    const utils::uvec3 image_extents = graph.logical_limits_of(out);
     return {
-        utils::div_up(image_extents.data[0u], 2u),
-        utils::div_up(image_extents.data[1u], 2u),
-        image_extents.data[2u]};
+        utils::div_up(image_extents[0u], 2u),
+        utils::div_up(image_extents[1u], 2u),
+        image_extents[2u]};
   } else {
     return graph.create_global_wg_size(out);
   }
@@ -380,7 +376,7 @@ void add_conv2d_node(
        {{arg_in, arg_weight, arg_bias}, vkapi::MemoryAccessType::READ}},
       // Shader params buffers
       {
-          t_out->texture_limits_ubo(),
+          t_out->logical_limits_ubo(),
           t_in->sizes_ubo(),
           graph.create_params_buffer(kernel_params),
           graph.create_params_buffer(extra_params),
@@ -478,7 +474,7 @@ void add_conv1d_node(
        {{arg_in, arg_weight, arg_bias}, vkapi::MemoryAccessType::READ}},
       // Shader params buffers
       {
-          t_out->texture_limits_ubo(),
+          t_out->logical_limits_ubo(),
           t_in->sizes_ubo(),
           graph.create_params_buffer(kernel_params),
           graph.create_params_buffer(out_params),
@@ -566,6 +562,7 @@ void conv(ComputeGraph& graph, const std::vector<ValueRef>& args) {
 REGISTER_OPERATORS {
   VK_REGISTER_OP(aten.convolution.default, conv);
   VK_REGISTER_OP(conv_with_clamp.default, conv);
+  VK_REGISTER_OP(et_vk.conv_with_clamp.default, conv);
 }
 
 } // namespace vkcompute
diff --git a/backends/vulkan/runtime/graph/ops/impl/Embedding.cpp b/backends/vulkan/runtime/graph/ops/impl/Embedding.cpp
index be0b457b79..f21dca1490 100644
--- a/backends/vulkan/runtime/graph/ops/impl/Embedding.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/Embedding.cpp
@@ -48,7 +48,12 @@ void add_embedding_node(
       graph.create_local_wg_size(out),
       {{out, vkapi::MemoryAccessType::WRITE},
        {{in, weight}, vkapi::MemoryAccessType::READ}},
-      {t_out->sizes_ubo()}));
+      {
+          t_out->sizes_ubo(),
+          t_out->axis_map_ubo(),
+          t_in->axis_map_ubo(),
+          t_weight->axis_map_ubo(),
+      }));
 }
 
 void embedding(ComputeGraph& graph, const std::vector<ValueRef>& args) {
diff --git a/backends/vulkan/runtime/graph/ops/impl/GridPriors.cpp b/backends/vulkan/runtime/graph/ops/impl/GridPriors.cpp
new file mode 100644
index 0000000000..17b6b351db
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/impl/GridPriors.cpp
@@ -0,0 +1,79 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/backends/vulkan/runtime/graph/ops/OperatorRegistry.h>
+
+#include <executorch/backends/vulkan/runtime/graph/ops/impl/utils/KernelUtils.h>
+
+#include <executorch/backends/vulkan/runtime/graph/ops/utils/ShaderNameUtils.h>
+
+namespace vkcompute {
+
+struct GridPriorsParam final {
+  int32_t stride;
+  float offset;
+};
+
+void resize_grid_priors_node(
+    ComputeGraph* graph,
+    const std::vector<ArgGroup>& args,
+    const std::vector<ValueRef>& extra_args) {
+  vTensorPtr out = graph->get_tensor(args[0].refs[0]);
+  vTensorPtr in = graph->get_tensor(extra_args[0]);
+  std::vector<int64_t> in_sizes = in->sizes();
+  int64_t height = in_sizes.at(in_sizes.size() - 2);
+  int64_t width = in_sizes.at(in_sizes.size() - 1);
+  std::vector<int64_t> sizes = {height * width, 2};
+  out->virtual_resize(sizes);
+}
+
+void add_grid_priors_node(
+    ComputeGraph& graph,
+    const ValueRef& in,
+    const ValueRef& stride_ref,
+    const ValueRef& offset_ref,
+    const ValueRef& out) {
+  vTensorPtr t_out = graph.get_tensor(out);
+  vTensorPtr t_in = graph.get_tensor(in);
+  int32_t stride = graph.extract_scalar<int32_t>(stride_ref);
+  float offset = graph.extract_scalar<float>(offset_ref);
+
+  std::string kernel_name = "grid_priors";
+  kernel_name.reserve(kShaderNameReserve);
+  add_dtype_suffix(kernel_name, *t_out);
+
+  GridPriorsParam param = {stride, offset};
+  graph.execute_nodes().emplace_back(new ExecuteNode(
+      graph,
+      VK_KERNEL_FROM_STR(kernel_name),
+      graph.create_global_wg_size(out),
+      graph.create_local_wg_size(out),
+      // Inputs and Outputs
+      {
+          {out, vkapi::MemoryAccessType::WRITE},
+      },
+      // Shader params buffers
+      {
+          t_in->sizes_ubo(),
+          t_out->sizes_ubo(),
+          graph.create_params_buffer(param),
+      },
+      // Specialization Constants
+      {},
+      resize_grid_priors_node,
+      {in}));
+}
+
+void grid_priors(ComputeGraph& graph, const std::vector<ValueRef>& args) {
+  return add_grid_priors_node(graph, args[0], args[1], args[2], args[3]);
+}
+
+REGISTER_OPERATORS {
+  VK_REGISTER_OP(et_vk.grid_priors.default, grid_priors);
+}
+} // namespace vkcompute
diff --git a/backends/vulkan/runtime/graph/ops/impl/Linear.cpp b/backends/vulkan/runtime/graph/ops/impl/Linear.cpp
index 63b60bf52f..1c8b631346 100644
--- a/backends/vulkan/runtime/graph/ops/impl/Linear.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/Linear.cpp
@@ -100,27 +100,36 @@ void add_addmm_naive_node(
   std::string kernel_name =
       graph.get_bool(mat2_is_transposed) ? "linear_naive" : "addmm_naive";
   kernel_name.reserve(kShaderNameReserve);
-  add_memory_layout_suffix(kernel_name, graph.memory_layout_of(mat1));
-  add_memory_layout_suffix(kernel_name, graph.memory_layout_of(mat2));
+  add_storage_type_suffix(kernel_name, graph.storage_type_of(out));
   add_dtype_suffix(kernel_name, graph.dtype_of(out));
 
+  utils::uvec3 global_wg_size = graph.logical_limits_of(out);
   graph.execute_nodes().emplace_back(new ExecuteNode(
       graph,
       VK_KERNEL_FROM_STR(kernel_name),
-      graph.create_global_wg_size(out),
-      graph.create_local_wg_size(out),
+      global_wg_size,
+      graph.create_local_wg_size(global_wg_size),
       // Inputs and Outputs
       {{out, vkapi::MemoryAccessType::WRITE},
        {{mat1, mat2, self}, vkapi::MemoryAccessType::READ}},
       // Shader params buffers
       {
-          graph.texture_limits_ubo(out),
+          graph.sizes_ubo(out),
+          graph.logical_limits_ubo(out),
+          graph.axis_map_ubo(out),
           graph.sizes_ubo(mat1),
+          graph.axis_map_ubo(mat1),
+          graph.sizes_ubo(mat2),
+          graph.axis_map_ubo(mat2),
           graph.sizes_ubo(self),
+          graph.axis_map_ubo(self),
           graph.create_params_buffer(params),
       },
       // Specialization Constants
-      {},
+      {graph.packed_dim_whcn_idx_of(out),
+       graph.packed_dim_whcn_idx_of(mat1),
+       graph.packed_dim_whcn_idx_of(mat2),
+       graph.packed_dim_whcn_idx_of(self)},
       // Resizing Logic
       resize_addmm_node,
       {mat2_is_transposed}));
@@ -173,11 +182,20 @@ void add_addmm_optimized_node(
 
   add_dtype_suffix(kernel_name, graph.dtype_of(out));
 
-  utils::uvec3 global_size;
+  utils::uvec3 global_size = graph.logical_limits_of(out);
+
+  // Each thread computes a W=(2/4) x H=4 x C=(1/4) output tile. Therefore, the
+  // total number of threads is W/(2 or 4) x H/4 x C/1. Since the out tensor is
+  // channels packed, C does not need to be divided by 4. The "identity" of each
+  // thread is the (x, y, z) coordinate of the output tile it is computing, and
+  // this identity can be used to compute the tensor index of the top left
+  // element in the tile, which will be [W=x*(2 or 4), H=y*4, C=z*(1 or 4), N=0]
   if (mat1_sizes.at(mat1_dims - 2) < 8) {
-    global_size = utils::divup_vec(graph.image_extents_of(out), {4, 2, 1});
+    // Use `logical_extents` instead of `image_extents` because the workgroup
+    // axes need to correspond to tensor dimensions.
+    global_size = utils::divup_vec(global_size, {4, 2, 1});
   } else {
-    global_size = utils::divup_vec(graph.image_extents_of(out), {4, 4, 1});
+    global_size = utils::divup_vec(global_size, {4, 4, 1});
   }
   utils::uvec3 local_size = adaptive_work_group_size(global_size);
 
@@ -191,14 +209,18 @@ void add_addmm_optimized_node(
        {{mat1_W_packed, mat2_packed, self}, vkapi::MemoryAccessType::READ}},
       // Shader params buffers
       {
-          graph.texture_limits_ubo(out),
           graph.sizes_ubo(out),
+          graph.axis_map_ubo(out),
+          graph.sizes_ubo(mat1_W_packed),
+          graph.axis_map_ubo(mat1_W_packed),
+          graph.sizes_ubo(mat2_packed),
+          graph.axis_map_ubo(mat2_packed),
           graph.sizes_ubo(self),
-          graph.texture_limits_ubo(mat1_W_packed),
+          graph.axis_map_ubo(self),
           graph.create_params_buffer(params),
       },
       // Specialization Constants
-      {},
+      {graph.packed_dim_whcn_idx_of(out)},
       // Resizing Logic
       resize_addmm_node,
       {mat2_is_transposed}));
diff --git a/backends/vulkan/runtime/graph/ops/impl/MatMul.cpp b/backends/vulkan/runtime/graph/ops/impl/MatMul.cpp
index d1d3ad47d7..c182f220fb 100644
--- a/backends/vulkan/runtime/graph/ops/impl/MatMul.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/MatMul.cpp
@@ -62,7 +62,48 @@ void resize_matmul_node(
   out->virtual_resize(new_out_sizes);
 }
 
-void add_matmul_naive_node(
+void add_matmul_naive_buffer_node(
+    ComputeGraph& graph,
+    const ValueRef mat1,
+    const ValueRef mat2_data,
+    const ValueRef out,
+    const ValueRef mat2_is_transposed) {
+  ValueRef mat2 = prepack_if_tensor_ref(graph, mat2_data, utils::kHeightPacked);
+
+  std::string kernel_name = "matmul_naive_buffer";
+  add_dtype_suffix(kernel_name, graph.dtype_of(out));
+
+  utils::uvec3 global_size = {
+      graph.size_at<uint32_t>(-1, out),
+      graph.size_at<uint32_t>(-2, out),
+      graph.size_at<uint32_t>(-3, out) * graph.size_at<uint32_t>(-4, out)};
+
+  graph.execute_nodes().emplace_back(new ExecuteNode(
+      graph,
+      VK_KERNEL_FROM_STR(kernel_name),
+      global_size,
+      graph.create_local_wg_size(global_size),
+      // Inputs and Outputs
+      {{out, vkapi::MemoryAccessType::WRITE},
+       {{mat1, mat2}, vkapi::MemoryAccessType::READ}},
+      // Shader params buffers
+      {
+          graph.sizes_ubo(out),
+          graph.strides_ubo(out),
+          graph.sizes_ubo(mat1),
+          graph.strides_ubo(mat1),
+          graph.sizes_ubo(mat2),
+          graph.strides_ubo(mat2),
+          graph.numel_ubo(out),
+      },
+      // Specialization Constants
+      {},
+      // Resizing Logic
+      resize_matmul_node,
+      {mat2_is_transposed}));
+}
+
+void add_matmul_naive_texture3d_node(
     ComputeGraph& graph,
     const ValueRef mat1,
     const ValueRef mat2_data,
@@ -74,25 +115,32 @@ void add_matmul_naive_node(
       ? "matmul_transposed_naive"
       : "matmul_naive";
   kernel_name.reserve(kShaderNameReserve);
-  add_memory_layout_suffix(kernel_name, graph.memory_layout_of(mat1));
-  add_memory_layout_suffix(kernel_name, graph.memory_layout_of(mat2));
+  add_storage_type_suffix(kernel_name, graph.storage_type_of(out));
   add_dtype_suffix(kernel_name, graph.dtype_of(out));
 
+  utils::uvec3 global_wg_size = graph.logical_limits_of(out);
   graph.execute_nodes().emplace_back(new ExecuteNode(
       graph,
       VK_KERNEL_FROM_STR(kernel_name),
-      graph.create_global_wg_size(out),
-      graph.create_local_wg_size(out),
+      global_wg_size,
+      graph.create_local_wg_size(global_wg_size),
       // Inputs and Outputs
       {{out, vkapi::MemoryAccessType::WRITE},
        {{mat1, mat2}, vkapi::MemoryAccessType::READ}},
       // Shader params buffers
       {
-          graph.texture_limits_ubo(out),
+          graph.sizes_ubo(out),
+          graph.logical_limits_ubo(out),
+          graph.axis_map_ubo(out),
           graph.sizes_ubo(mat1),
+          graph.axis_map_ubo(mat1),
+          graph.sizes_ubo(mat2),
+          graph.axis_map_ubo(mat2),
       },
       // Specialization Constants
-      {},
+      {graph.packed_dim_whcn_idx_of(out),
+       graph.packed_dim_whcn_idx_of(mat1),
+       graph.packed_dim_whcn_idx_of(mat2)},
       // Resizing Logic
       resize_matmul_node,
       {mat2_is_transposed}));
@@ -139,12 +187,21 @@ void add_matmul_optimized_node(
 
   add_dtype_suffix(kernel_name, graph.dtype_of(out));
 
-  utils::uvec3 global_size;
+  // Each thread computes a W=(2/4) x H=4 x C=(1/4) output tile. Therefore, the
+  // total number of threads is W/(2 or 4) x H/4 x C/1. Since the out tensor is
+  // channels packed, C does not need to be divided by 4. The "identity" of each
+  // thread is the (x, y, z) coordinate of the output tile it is computing, and
+  // this identity can be used to compute the tensor index of the top left
+  // element in the tile, which will be [W=x*(2 or 4), H=y*4, C=z*(1 or 4), N=0]
+  utils::uvec3 global_size = graph.logical_limits_of(out);
   if (mat1_sizes.at(mat1_dims - 2) < 8) {
-    global_size = utils::divup_vec(graph.image_extents_of(out), {4, 2, 1});
+    // Use `logical_extents` instead of `image_extents` because the workgroup
+    // axes need to correspond to tensor dimensions.
+    global_size = utils::divup_vec(global_size, {4, 2, 1});
   } else {
-    global_size = utils::divup_vec(graph.image_extents_of(out), {4, 4, 1});
+    global_size = utils::divup_vec(global_size, {4, 4, 1});
   }
+
   utils::uvec3 local_size = adaptive_work_group_size(global_size);
 
   graph.execute_nodes().emplace_back(new ExecuteNode(
@@ -157,12 +214,15 @@ void add_matmul_optimized_node(
        {{mat1_W_packed, mat2_packed}, vkapi::MemoryAccessType::READ}},
       // Shader params buffers
       {
-          graph.texture_limits_ubo(out),
           graph.sizes_ubo(out),
-          graph.texture_limits_ubo(mat1_W_packed),
+          graph.axis_map_ubo(out),
+          graph.sizes_ubo(mat1_W_packed),
+          graph.axis_map_ubo(mat1_W_packed),
+          graph.sizes_ubo(mat2_packed),
+          graph.axis_map_ubo(mat2_packed),
       },
       // Specialization Constants
-      {},
+      {graph.packed_dim_whcn_idx_of(out)},
       // Resizing Logic
       resize_matmul_node,
       {mat2_is_transposed}));
@@ -174,12 +234,16 @@ void add_matmul_node(
     const ValueRef mat2_data,
     const ValueRef out,
     const ValueRef mat2_is_transposed) {
-  if (graph.memory_layout_of(mat1) == utils::kChannelsPacked) {
+  if (graph.is_buffer_storage(out)) {
+    add_matmul_naive_buffer_node(
+        graph, mat1, mat2_data, out, mat2_is_transposed);
+  } else if (graph.memory_layout_of(mat1) == utils::kChannelsPacked) {
     add_matmul_optimized_node(graph, mat1, mat2_data, out, mat2_is_transposed);
   } else if (graph.memory_layout_of(mat1) == utils::kWidthPacked) {
-    add_matmul_naive_node(graph, mat1, mat2_data, out, mat2_is_transposed);
+    add_matmul_naive_texture3d_node(
+        graph, mat1, mat2_data, out, mat2_is_transposed);
   } else {
-    VK_THROW("Input should be channel packed or width packed.");
+    VK_THROW("Input texture should be channel packed or width packed.");
   }
 }
 
diff --git a/backends/vulkan/runtime/graph/ops/impl/NativeLayerNorm.cpp b/backends/vulkan/runtime/graph/ops/impl/NativeLayerNorm.cpp
index 2b15d92470..d1cbf52182 100644
--- a/backends/vulkan/runtime/graph/ops/impl/NativeLayerNorm.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/NativeLayerNorm.cpp
@@ -91,7 +91,7 @@ void add_native_layer_norm_node(
 
   std::vector<int64_t> in_sizes = t_input->sizes();
 
-  utils::uvec3 global_size = t_mean->image_extents();
+  utils::uvec3 global_size = t_mean->logical_limits();
   utils::uvec3 local_size = adaptive_work_group_size(global_size);
 
   std::string kernel_name("native_layer_norm");
@@ -109,7 +109,7 @@ void add_native_layer_norm_node(
         vkapi::MemoryAccessType::WRITE},
        {{arg_in, arg_weight, arg_bias}, vkapi::MemoryAccessType::READ}},
       // Shader params buffers
-      {t_out->texture_limits_ubo(),
+      {t_out->logical_limits_ubo(),
        t_out->sizes_ubo(),
        graph.create_params_buffer(epsilon)},
       // Specialization Constants
diff --git a/backends/vulkan/runtime/graph/ops/impl/Permute.cpp b/backends/vulkan/runtime/graph/ops/impl/Permute.cpp
index 7baf921bf0..c6ed72dceb 100644
--- a/backends/vulkan/runtime/graph/ops/impl/Permute.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/Permute.cpp
@@ -62,7 +62,7 @@ void add_permute_node(
         !seen[permute_dim], "Argument dim ", permute_dim, "  is repeated");
     seen[permute_dim] = true;
 
-    out_dims.data[(4u - out_ndim) + i] = permute_dim + (4 - out_ndim);
+    out_dims[(4u - out_ndim) + i] = permute_dim + (4 - out_ndim);
   }
 
   std::string kernel_name = "permute";
@@ -90,7 +90,7 @@ void add_permute_node(
       graph.create_local_wg_size(out),
       {{out, vkapi::MemoryAccessType::WRITE},
        {in, vkapi::MemoryAccessType::READ}},
-      {t_out->texture_limits_ubo(),
+      {t_out->logical_limits_ubo(),
        t_out->sizes_ubo(),
        graph.create_params_buffer(params)},
       // Specialization Constants
diff --git a/backends/vulkan/runtime/graph/ops/impl/Pool.cpp b/backends/vulkan/runtime/graph/ops/impl/Pool.cpp
index 8b477d3a31..33d8b77334 100644
--- a/backends/vulkan/runtime/graph/ops/impl/Pool.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/Pool.cpp
@@ -79,7 +79,7 @@ void add_max_pool2d_node(
 
   check_pool2d_args(*t_in, *t_out);
 
-  utils::uvec3 global_size = t_out->image_extents();
+  utils::uvec3 global_size = t_out->logical_limits();
   utils::uvec3 local_size = adaptive_work_group_size(global_size);
 
   std::string kernel_name("max_pool2d");
@@ -103,7 +103,7 @@ void add_max_pool2d_node(
        {arg, vkapi::MemoryAccessType::READ}},
       // Shader params buffers
       {
-          t_out->texture_limits_ubo(),
+          t_out->logical_limits_ubo(),
           t_in->sizes_ubo(),
           graph.create_params_buffer(kernel_params),
       },
@@ -155,7 +155,7 @@ void add_avg_pool2d_node(
 
   check_pool2d_args(*t_in, *t_out);
 
-  utils::uvec3 global_size = t_out->image_extents();
+  utils::uvec3 global_size = t_out->logical_limits();
   utils::uvec3 local_size = adaptive_work_group_size(global_size);
 
   std::string kernel_name("avg_pool2d");
@@ -176,7 +176,7 @@ void add_avg_pool2d_node(
       {{out, vkapi::MemoryAccessType::WRITE},
        {arg, vkapi::MemoryAccessType::READ}},
       // Shader params buffers
-      {t_out->texture_limits_ubo(),
+      {t_out->logical_limits_ubo(),
        t_in->sizes_ubo(),
        graph.create_params_buffer(kernel_params),
        graph.create_params_buffer(divisor_params)},
diff --git a/backends/vulkan/runtime/graph/ops/impl/QuantizedLinear.cpp b/backends/vulkan/runtime/graph/ops/impl/QuantizedLinear.cpp
index cf887b6c1a..fa88db9a5d 100644
--- a/backends/vulkan/runtime/graph/ops/impl/QuantizedLinear.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/QuantizedLinear.cpp
@@ -87,14 +87,14 @@ void add_q_8w_linear_node(
   if (graph.is_buffer_storage(out)) {
     ubos.append(
         {graph.sizes_ubo(out),
-         graph.ntexels_ubo(out),
+         graph.strides_ubo(out),
+         graph.numel_ubo(out),
          graph.sizes_ubo(mat1),
-         graph.texel_strides_ubo(out),
-         graph.texel_strides_ubo(mat1),
-         graph.texel_strides_ubo(q_mat2),
-         graph.texel_strides_ubo(scales)});
+         graph.strides_ubo(mat1),
+         graph.strides_ubo(q_mat2),
+         graph.strides_ubo(scales)});
   } else {
-    ubos.append({graph.texture_limits_ubo(out), graph.sizes_ubo(mat1)});
+    ubos.append({graph.logical_limits_ubo(out), graph.sizes_ubo(mat1)});
   }
 
   graph.execute_nodes().emplace_back(new ExecuteNode(
diff --git a/backends/vulkan/runtime/graph/ops/impl/QuantizedMatMul.cpp b/backends/vulkan/runtime/graph/ops/impl/QuantizedMatMul.cpp
new file mode 100644
index 0000000000..d478b7c253
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/impl/QuantizedMatMul.cpp
@@ -0,0 +1,182 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/backends/vulkan/runtime/graph/ops/OperatorRegistry.h>
+#include <executorch/backends/vulkan/runtime/graph/ops/impl/Staging.h>
+#include <executorch/backends/vulkan/runtime/graph/ops/impl/utils/TensorUtils.h>
+#include <executorch/backends/vulkan/runtime/graph/ops/utils/ShaderNameUtils.h>
+
+namespace vkcompute {
+
+void check_q_matmul_args(
+    ComputeGraph& graph,
+    const ValueRef mat1,
+    const ValueRef mat2_data,
+    const ValueRef group_size_data,
+    const ValueRef scales_and_zeros,
+    const ValueRef out) {
+  const std::vector<int64_t> mat1_sizes = graph.sizes_of(mat1);
+  const std::vector<int64_t> mat2_sizes = graph.sizes_of(mat2_data);
+  const std::vector<int64_t> scales_and_zeros_sizes =
+      graph.sizes_of(scales_and_zeros);
+
+  const uint32_t group_size = graph.extract_scalar<uint32_t>(group_size_data);
+
+  VK_CHECK_COND(mat1_sizes.size() == 2);
+  VK_CHECK_COND(mat1_sizes.size() == mat2_sizes.size());
+
+  VK_CHECK_COND(graph.memory_layout_of(mat1) == utils::kWidthPacked);
+  VK_CHECK_COND(graph.memory_layout_of(mat2_data) == utils::kWidthPacked);
+  VK_CHECK_COND(
+      graph.memory_layout_of(scales_and_zeros) == utils::kWidthPacked);
+
+  if (graph.storage_type_of(out) == utils::kBuffer) {
+    VK_CHECK_COND(graph.memory_layout_of(out) == utils::kWidthPacked);
+  } else {
+    VK_CHECK_COND(graph.memory_layout_of(out) == utils::kChannelsPacked);
+  }
+
+  const int mat1_K = utils::val_at(-1, mat1_sizes);
+  const int mat2_K = utils::val_at(-1, mat2_sizes) * 2;
+  const int N = utils::val_at(-2, mat2_sizes);
+
+  VK_CHECK_COND(mat1_K == mat2_K);
+
+  VK_CHECK_COND(mat2_K % group_size == 0);
+
+  const uint32_t k_groups = mat2_K / group_size;
+
+  VK_CHECK_COND(scales_and_zeros_sizes.size() == 3);
+  VK_CHECK_COND(utils::val_at(-1, scales_and_zeros_sizes) == k_groups);
+  VK_CHECK_COND(utils::val_at(-2, scales_and_zeros_sizes) == N);
+  VK_CHECK_COND(utils::val_at(-3, scales_and_zeros_sizes) == 2);
+
+  // Match https://fburl.com/code/6ostkknm
+  std::vector<uint32_t> valid_group_sizes = {32, 64, 128, 256};
+
+  bool is_valid_group_size = false;
+  for (auto valid_group_size : valid_group_sizes) {
+    if (group_size == valid_group_size) {
+      is_valid_group_size = true;
+      break;
+    }
+  }
+
+  VK_CHECK_COND(is_valid_group_size);
+}
+
+void resize_q_matmul_node(
+    ComputeGraph* graph,
+    const std::vector<ArgGroup>& args,
+    const std::vector<ValueRef>& extra_args) {
+  (void)extra_args;
+
+  vTensorPtr out = graph->get_tensor(args[0].refs[0]);
+  vTensorPtr mat1 = graph->get_tensor(args[1].refs[0]);
+  vTensorPtr mat2 = graph->get_tensor(args[1].refs[1]);
+
+  const int out_cols = utils::val_at(-2, mat1->sizes());
+  const int out_rows = utils::val_at(-2, mat2->sizes());
+
+  std::vector<int64_t> new_out_sizes(3);
+  if (mat1->sizes().size() == 2) {
+    new_out_sizes.resize(2);
+    new_out_sizes.at(0) = out_cols;
+    new_out_sizes.at(1) = out_rows;
+  } else {
+    new_out_sizes.at(0) = mat1->sizes().at(0);
+    new_out_sizes.at(1) = out_cols;
+    new_out_sizes.at(2) = out_rows;
+  }
+
+  out->virtual_resize(new_out_sizes);
+}
+
+void add_q_matmul_node(
+    ComputeGraph& graph,
+    const ValueRef mat1,
+    const ValueRef mat2_data,
+    const ValueRef group_size,
+    const ValueRef scales_and_zeros_data,
+    const ValueRef out) {
+  auto storage_type = graph.storage_type_of(out);
+
+  ValueRef mat2;
+
+  if (storage_type == utils::kBuffer) {
+    mat2 = prepack_buffer_if_tensor_ref(graph, mat2_data, utils::kWidthPacked);
+  } else {
+    mat2 = prepack_if_tensor_ref(graph, mat2_data, utils::kWidthPacked);
+  }
+
+  ValueRef scales_and_zeros =
+      prepack_if_tensor_ref(graph, scales_and_zeros_data, utils::kWidthPacked);
+
+  std::string kernel_name = "q_4w_linear";
+
+  add_dtype_suffix(kernel_name, graph.dtype_of(out));
+  add_storage_type_suffix(kernel_name, storage_type);
+
+  const uint32_t group_size_val = graph.extract_scalar<uint32_t>(group_size);
+
+  vkapi::ParamsBindList ubos({});
+  if (storage_type == utils::kBuffer) {
+    ubos.append(graph.sizes_ubo(out));
+    ubos.append(graph.strides_ubo(out));
+    ubos.append(graph.sizes_ubo(mat1));
+    ubos.append(graph.strides_ubo(mat1));
+    ubos.append(graph.strides_ubo(mat2));
+    ubos.append(graph.strides_ubo(scales_and_zeros));
+  } else {
+    ubos.append(graph.sizes_ubo(out));
+    ubos.append(graph.sizes_ubo(mat1));
+    ubos.append(graph.strides_ubo(scales_and_zeros));
+  }
+
+  auto out_sizes = graph.sizes_of(out);
+  uint32_t N = utils::val_at(-1, out_sizes);
+  uint32_t M = utils::val_at(-2, out_sizes);
+
+  utils::uvec3 global_wg_size = {N, M, 1};
+
+  utils::uvec3 local_wg_size = adaptive_work_group_size(global_wg_size);
+
+  graph.execute_nodes().emplace_back(new ExecuteNode(
+      graph,
+      VK_KERNEL_FROM_STR(kernel_name),
+      global_wg_size,
+      local_wg_size,
+      // Inputs and Outputs
+      {{out, vkapi::MemoryAccessType::WRITE},
+       {{mat1, mat2, scales_and_zeros}, vkapi::MemoryAccessType::READ}},
+      // Shader params buffers
+      ubos,
+      // Specialization Constants
+      {SV(group_size_val)},
+      // Resizing Logic
+      resize_q_matmul_node,
+      {}));
+}
+
+void int4pack_mm(ComputeGraph& graph, const std::vector<ValueRef>& args) {
+  check_q_matmul_args(graph, args[0], args[1], args[2], args[3], args[4]);
+  return add_q_matmul_node(
+      graph,
+      args[0], // mat1
+      args[1], // mat2
+      args[2], // group_size
+      args[3], // scales_and_zeros
+      args[4] // out
+  );
+}
+
+REGISTER_OPERATORS {
+  VK_REGISTER_OP(aten._weight_int4pack_mm.default, int4pack_mm);
+}
+
+} // namespace vkcompute
diff --git a/backends/vulkan/runtime/graph/ops/impl/Repeat.cpp b/backends/vulkan/runtime/graph/ops/impl/Repeat.cpp
index 0eda7d8260..6a19e27ae8 100644
--- a/backends/vulkan/runtime/graph/ops/impl/Repeat.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/Repeat.cpp
@@ -83,8 +83,7 @@ void add_repeat_channel_node(
   utils::ivec4 in_whcn_sizes{in_width, in_height, in_channel, in_batch};
 
   // Channel packed global work ids
-  running_range.data[2] =
-      out_whcn_sizes.data[3] * utils::div_up_4(out_whcn_sizes.data[2]);
+  running_range[2] = out_whcn_sizes[3] * utils::div_up_4(out_whcn_sizes[2]);
   utils::uvec3 global_size = utils::make_uvec3(running_range);
   utils::uvec3 local_size = adaptive_work_group_size(global_size);
 
@@ -131,7 +130,7 @@ void add_repeat_node(
   // After expanding a dimension, we will update the "running_range" since we
   // will need to copy the "expanded" area.
 
-  utils::ivec3 running_range = t_in->texture_limits();
+  utils::ivec3 running_range = t_in->logical_limits();
 
   const std::vector<int64_t>& in_sizes = t_in->sizes();
 
@@ -165,7 +164,7 @@ void add_repeat_node(
           graph, out, running_range, src_offset, dst_offset, out);
     }
 
-    running_range.data[0] = running_range.data[0] * width_repeat;
+    running_range[0] = running_range[0] * width_repeat;
   }
 
   // Height
@@ -179,7 +178,7 @@ void add_repeat_node(
           graph, out, running_range, src_offset, dst_offset, out);
     }
 
-    running_range.data[1] = running_range.data[1] * height_repeat;
+    running_range[1] = running_range[1] * height_repeat;
   }
 
   // Batch
@@ -187,13 +186,13 @@ void add_repeat_node(
     utils::ivec3 src_offset{0, 0, 0};
 
     for (int i = 1; i < batch_repeat; ++i) {
-      utils::ivec3 dst_offset = {0, 0, i * running_range.data[2]};
+      utils::ivec3 dst_offset = {0, 0, i * running_range[2]};
 
       add_copy_offset_node(
           graph, out, running_range, src_offset, dst_offset, out);
     }
 
-    running_range.data[2] = running_range.data[2] * batch_repeat;
+    running_range[2] = running_range[2] * batch_repeat;
   }
 }
 
diff --git a/backends/vulkan/runtime/graph/ops/impl/Select.cpp b/backends/vulkan/runtime/graph/ops/impl/Select.cpp
index 351db0d192..1d0be47e38 100644
--- a/backends/vulkan/runtime/graph/ops/impl/Select.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/Select.cpp
@@ -112,7 +112,7 @@ void add_select_int_node(
       {{out, vkapi::MemoryAccessType::WRITE},
        {in, vkapi::MemoryAccessType::READ}},
       // Parameter buffers
-      {t_out->texture_limits_ubo(),
+      {t_out->logical_limits_ubo(),
        t_out->sizes_ubo(),
        // TODO: num_batches and num_texel_per_batch are provided by
        // t_out->sizes. Can change the following to reduce params
diff --git a/backends/vulkan/runtime/graph/ops/impl/Slice.cpp b/backends/vulkan/runtime/graph/ops/impl/Slice.cpp
index 8b323bafed..6aed81a591 100644
--- a/backends/vulkan/runtime/graph/ops/impl/Slice.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/Slice.cpp
@@ -123,7 +123,7 @@ void add_slice_tensor_out_node(
     kernel_name.reserve(kShaderNameReserve);
     add_dtype_suffix(kernel_name, *t_out);
 
-    utils::uvec3 global_size = t_out->image_extents();
+    utils::uvec3 global_size = t_out->logical_limits();
     utils::uvec3 local_size = adaptive_work_group_size(global_size);
 
     const struct Block final {
diff --git a/backends/vulkan/runtime/graph/ops/impl/Softmax.cpp b/backends/vulkan/runtime/graph/ops/impl/Softmax.cpp
index fa4d3df944..dd2fb43e65 100644
--- a/backends/vulkan/runtime/graph/ops/impl/Softmax.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/Softmax.cpp
@@ -64,7 +64,7 @@ void add_softmax_node(
       {{out, vkapi::MemoryAccessType::WRITE},
        {in_arg, vkapi::MemoryAccessType::READ}},
       // Shader params buffers
-      {t_out->texture_limits_ubo(),
+      {t_out->logical_limits_ubo(),
        t_in->sizes_ubo(),
        graph.create_params_buffer(utils::make_ivec2({in_dim, softmax_dim}))},
       // Specialization Constants
diff --git a/backends/vulkan/runtime/graph/ops/impl/Split.cpp b/backends/vulkan/runtime/graph/ops/impl/Split.cpp
index 9e3ae2e6a7..49abd63d75 100644
--- a/backends/vulkan/runtime/graph/ops/impl/Split.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/Split.cpp
@@ -50,10 +50,10 @@ void add_split_with_sizes_default_node(
       // Doesn't need to use split_size since we have already verified that the
       // output tensor's size matches with the split_size.
       vTensorPtr t_out = graph.get_tensor(out_ref);
-      utils::ivec3 range = t_out->texture_limits();
+      utils::ivec3 range = t_out->logical_limits();
       add_copy_offset_node(graph, in, range, src_offset, dst_offset, out_ref);
 
-      src_offset.data[0] += range.data[0];
+      src_offset[0] += range[0];
     }
   } else if (dim_index == kHeight4D) {
     utils::ivec3 src_offset = utils::make_ivec3({0, 0, 0}, false);
@@ -61,10 +61,10 @@ void add_split_with_sizes_default_node(
 
     for (ValueRef out_ref : *out_list) {
       vTensorPtr t_out = graph.get_tensor(out_ref);
-      utils::ivec3 range = t_out->texture_limits();
+      utils::ivec3 range = t_out->logical_limits();
       add_copy_offset_node(graph, in, range, src_offset, dst_offset, out_ref);
 
-      src_offset.data[1] += range.data[1];
+      src_offset[1] += range[1];
     }
   } else if (dim_index == kBatch4D) {
     utils::ivec3 src_offset = utils::make_ivec3({0, 0, 0}, false);
@@ -72,10 +72,10 @@ void add_split_with_sizes_default_node(
 
     for (ValueRef out_ref : *out_list) {
       vTensorPtr t_out = graph.get_tensor(out_ref);
-      utils::ivec3 range = t_out->texture_limits();
+      utils::ivec3 range = t_out->logical_limits();
       add_copy_offset_node(graph, in, range, src_offset, dst_offset, out_ref);
 
-      src_offset.data[2] += range.data[2];
+      src_offset[2] += range[2];
     }
   } else if (dim_index == kChannel4D) {
     int32_t src_offset = 0;
diff --git a/backends/vulkan/runtime/graph/ops/impl/Staging.cpp b/backends/vulkan/runtime/graph/ops/impl/Staging.cpp
index 2e5e9addfb..047e0d0f1f 100644
--- a/backends/vulkan/runtime/graph/ops/impl/Staging.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/Staging.cpp
@@ -21,15 +21,17 @@ void add_staging_to_tensor_node(
     const ValueRef out_tensor) {
   VK_CHECK_COND(graph.val_is_staging(in_staging));
 
-  vkapi::ShaderInfo shader =
-      get_nchw_to_tensor_shader(*graph.get_tensor(out_tensor));
+  vkapi::ShaderInfo shader = get_nchw_to_tensor_shader(
+      *graph.get_tensor(out_tensor), graph.int8_buffers_enabled());
 
-  vkapi::ParamsBindList ubos({graph.sizes_ubo(out_tensor)});
+  vkapi::ParamsBindList ubos;
   if (graph.is_buffer_storage(out_tensor)) {
-    ubos.append({
-        graph.texel_strides_ubo(out_tensor),
-        graph.ntexels_ubo(out_tensor),
-    });
+    ubos.append(
+        {graph.sizes_ubo(out_tensor),
+         graph.strides_ubo(out_tensor),
+         graph.numel_ubo(out_tensor)});
+  } else {
+    ubos.append({graph.sizes_ubo(out_tensor), graph.axis_map_ubo(out_tensor)});
   }
 
   graph.execute_nodes().emplace_back(new ExecuteNode(
@@ -55,25 +57,43 @@ void add_tensor_to_staging_node(
     const ValueRef out_staging) {
   VK_CHECK_COND(graph.val_is_staging(out_staging));
 
-  vkapi::ShaderInfo shader =
-      get_tensor_to_nchw_shader(*graph.get_tensor(in_tensor));
+  vkapi::ShaderInfo shader = get_tensor_to_nchw_shader(
+      *graph.get_tensor(in_tensor), graph.int8_buffers_enabled());
+
+  utils::uvec3 global_wg_size = graph.create_global_wg_size(in_tensor);
 
-  vkapi::ParamsBindList ubos({graph.sizes_ubo(in_tensor)});
+  vkapi::ParamsBindList ubos;
   if (graph.is_buffer_storage(in_tensor)) {
-    ubos.append({
-        graph.texel_strides_ubo(in_tensor),
-        graph.ntexels_ubo(in_tensor),
-    });
+    ubos.append(
+        {graph.sizes_ubo(in_tensor),
+         graph.strides_ubo(in_tensor),
+         graph.numel_ubo(in_tensor)});
+  } else {
+    ubos.append({graph.sizes_ubo(in_tensor), graph.axis_map_ubo(in_tensor)});
+  }
+
+  // Normally, the image_to_nchw shader is structured so that each thread reads
+  // one texel from the input texture and writes each component of the texel
+  // into the corresponding location in the output buffer. However, this shader
+  // is structured slightly differently in that each thread writes out a
+  // complete 32 bit integer (containing 4 packed 8-bit integers) into the
+  // output buffer. Therefore, the global work group size for this shader will
+  // be the number of elements in the output buffer divided by 4, as opposed to
+  // the extents of the input texture.
+  if (shader.kernel_name == "int8_image_to_nchw_noint8") {
+    uint32_t buffer_len = graph.get_staging(out_staging)->numel() / 4;
+    global_wg_size = {buffer_len, 1, 1};
+    ubos.append({graph.numel_ubo(in_tensor)});
   }
 
   graph.execute_nodes().emplace_back(new ExecuteNode(
       graph,
       shader,
-      graph.create_global_wg_size(in_tensor),
-      graph.create_local_wg_size(in_tensor),
+      global_wg_size,
+      graph.create_local_wg_size(global_wg_size),
       // Input and Outputs
-      {{in_tensor, vkapi::MemoryAccessType::READ},
-       {out_staging, vkapi::MemoryAccessType::WRITE}},
+      {{out_staging, vkapi::MemoryAccessType::WRITE},
+       {in_tensor, vkapi::MemoryAccessType::READ}},
       // Parameter Buffers
       ubos,
       // Specialization Constants
@@ -86,14 +106,14 @@ ValueRef prepack(
     const utils::GPUMemoryLayout layout) {
   ValueRef v = graph.add_tensor_like(vref, layout);
 
-  vkapi::ShaderInfo shader = get_nchw_to_tensor_shader(*graph.get_tensor(v));
+  vkapi::ShaderInfo shader = get_nchw_to_tensor_shader(
+      *graph.get_tensor(v), graph.int8_buffers_enabled());
 
-  vkapi::ParamsBindList ubos({graph.sizes_ubo(v)});
+  vkapi::ParamsBindList ubos;
   if (graph.is_buffer_storage(v)) {
-    ubos.append({
-        graph.texel_strides_ubo(v),
-        graph.ntexels_ubo(v),
-    });
+    ubos.append({graph.sizes_ubo(v), graph.strides_ubo(v), graph.numel_ubo(v)});
+  } else {
+    ubos.append({graph.sizes_ubo(v), graph.axis_map_ubo(v)});
   }
 
   graph.prepack_nodes().emplace_back(new PrepackNode(
@@ -112,6 +132,33 @@ ValueRef prepack(
   return v;
 }
 
+ValueRef prepack_buffer(
+    ComputeGraph& graph,
+    const ValueRef vref,
+    const utils::GPUMemoryLayout layout) {
+  ValueRef v = graph.add_tensor_like(vref, utils::kBuffer, layout);
+
+  vkapi::ShaderInfo shader = VK_KERNEL_FROM_STR("buffer_to_buffer");
+
+  vkapi::ParamsBindList ubos;
+  ubos.append({graph.numel_ubo(v)});
+
+  graph.prepack_nodes().emplace_back(new PrepackNode(
+      graph,
+      shader,
+      graph.create_global_wg_size(v),
+      graph.create_local_wg_size(v),
+      // Input and Outputs
+      vref,
+      v,
+      // Parameter Buffers
+      ubos,
+      // Specialization Constants
+      {}));
+
+  return v;
+}
+
 ValueRef prepack_if_tensor_ref(
     ComputeGraph& graph,
     const ValueRef v,
@@ -123,6 +170,17 @@ ValueRef prepack_if_tensor_ref(
   }
 }
 
+ValueRef prepack_buffer_if_tensor_ref(
+    ComputeGraph& graph,
+    const ValueRef v,
+    const utils::GPUMemoryLayout layout) {
+  if (graph.val_is_tref(v)) {
+    return prepack_buffer(graph, v, layout);
+  } else {
+    return v;
+  }
+}
+
 ValueRef prepack_if_tensor_ref(ComputeGraph& graph, const ValueRef v) {
   if (graph.val_is_tref(v)) {
     utils::GPUMemoryLayout layout =
@@ -133,4 +191,14 @@ ValueRef prepack_if_tensor_ref(ComputeGraph& graph, const ValueRef v) {
   }
 }
 
+ValueRef prepack_buffer_if_tensor_ref(ComputeGraph& graph, const ValueRef v) {
+  if (graph.val_is_tref(v)) {
+    utils::GPUMemoryLayout layout =
+        graph.suggested_memory_layout(graph.get_tref(v)->sizes);
+    return prepack_buffer(graph, v, layout);
+  } else {
+    return v;
+  }
+}
+
 } // namespace vkcompute
diff --git a/backends/vulkan/runtime/graph/ops/impl/Staging.h b/backends/vulkan/runtime/graph/ops/impl/Staging.h
index fc875de80d..88a9630239 100644
--- a/backends/vulkan/runtime/graph/ops/impl/Staging.h
+++ b/backends/vulkan/runtime/graph/ops/impl/Staging.h
@@ -29,6 +29,13 @@ ValueRef prepack_if_tensor_ref(
     const ValueRef v,
     const utils::GPUMemoryLayout layout);
 
+ValueRef prepack_buffer_if_tensor_ref(
+    ComputeGraph& graph,
+    const ValueRef v,
+    const utils::GPUMemoryLayout layout);
+
 ValueRef prepack_if_tensor_ref(ComputeGraph& graph, const ValueRef v);
 
+ValueRef prepack_buffer_if_tensor_ref(ComputeGraph& graph, const ValueRef v);
+
 } // namespace vkcompute
diff --git a/backends/vulkan/runtime/graph/ops/impl/Sum.cpp b/backends/vulkan/runtime/graph/ops/impl/Sum.cpp
index b466f404ad..b65845c223 100644
--- a/backends/vulkan/runtime/graph/ops/impl/Sum.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/Sum.cpp
@@ -85,7 +85,7 @@ void add_sum_dim_node(
       {{out, vkapi::MemoryAccessType::WRITE},
        {arg, vkapi::MemoryAccessType::READ}},
       // Shader params buffers
-      {t_out->texture_limits_ubo(),
+      {t_out->logical_limits_ubo(),
        graph.create_params_buffer(dim + 4 - in_dim),
        graph.create_params_buffer(dim_size),
        graph.create_params_buffer(int(ceil(channel / 4.0)))},
diff --git a/backends/vulkan/runtime/graph/ops/impl/UnaryOp.cpp b/backends/vulkan/runtime/graph/ops/impl/UnaryOp.cpp
index 4342be7229..ea27183ead 100644
--- a/backends/vulkan/runtime/graph/ops/impl/UnaryOp.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/UnaryOp.cpp
@@ -44,9 +44,9 @@ void add_unary_op_node(
 
   vkapi::ParamsBindList ubos({});
   if (graph.is_buffer_storage(out)) {
-    ubos.append({graph.ntexels_ubo(out)});
+    ubos.append({graph.numel_ubo(out)});
   } else {
-    ubos.append({graph.texture_limits_ubo(out)});
+    ubos.append({graph.logical_limits_ubo(out)});
   }
   ubos.append(
       {graph.create_params_buffer(min), graph.create_params_buffer(max)});
@@ -114,12 +114,6 @@ float get_val_or_inf(ComputeGraph& graph, const ValueRef& val, bool max) {
         "hardshrink");                                                   \
   }
 
-#define DEFINE_HARDSWISH_FN(op_name)                                     \
-  void op_name(ComputeGraph& graph, const std::vector<ValueRef>& args) { \
-    return add_unary_op_node(                                            \
-        graph, args[0], kDummyFloat, kDummyFloat, args[1], #op_name);    \
-  }
-
 void gelu(ComputeGraph& graph, const std::vector<ValueRef>& args) {
   // args[1] is the `approximate` string
   // https://fburl.com/code/9omngmyo
@@ -140,7 +134,8 @@ DEFINE_CLAMP_FN(clamp);
 DEFINE_CLAMP_FN(hardtanh);
 DEFINE_RELU_FN(relu);
 DEFINE_HARDSHRINK_FN(hardshrink);
-DEFINE_HARDSWISH_FN(hardswish);
+DEFINE_ACTIVATION_FN(hardswish);
+DEFINE_ACTIVATION_FN(hardsigmoid);
 
 REGISTER_OPERATORS {
   VK_REGISTER_OP(aten.abs.default, abs);
@@ -157,6 +152,7 @@ REGISTER_OPERATORS {
   VK_REGISTER_OP(aten.tanh.default, tanh);
   VK_REGISTER_OP(aten.hardshrink.default, hardshrink);
   VK_REGISTER_OP(aten.hardswish.default, hardswish);
+  VK_REGISTER_OP(aten.hardsigmoid.default, hardsigmoid);
 }
 
 } // namespace vkcompute
diff --git a/backends/vulkan/runtime/graph/ops/impl/Upsample.cpp b/backends/vulkan/runtime/graph/ops/impl/Upsample.cpp
index 29baff4bde..f7fe5282e0 100644
--- a/backends/vulkan/runtime/graph/ops/impl/Upsample.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/Upsample.cpp
@@ -66,11 +66,11 @@ void add_upsample_nearest2d_node(
   ValueRef arg_in = prepack_if_tensor_ref(graph, in);
 
   vTensorPtr t_in = graph.get_tensor(in);
-  utils::uvec3 input_sizes = t_in->image_extents();
+  utils::uvec3 input_sizes = t_in->logical_limits();
 
   utils::ivec2 input_size = {
-      utils::safe_downcast<int32_t>(input_sizes.data[0]),
-      utils::safe_downcast<int32_t>(input_sizes.data[1])};
+      utils::safe_downcast<int32_t>(input_sizes[0]),
+      utils::safe_downcast<int32_t>(input_sizes[1])};
   utils::vec2 rev_scales = {
       utils::safe_downcast<float>(1.0), utils::safe_downcast<float>(1.0)};
 
@@ -79,9 +79,9 @@ void add_upsample_nearest2d_node(
     auto output_size_ref = graph.get_int_list(output_sizes);
     rev_scales = {
         utils::safe_downcast<float>(
-            (float)input_size.data[0] / output_size_ref->at(1)),
+            (float)input_size[0] / output_size_ref->at(1)),
         utils::safe_downcast<float>(
-            (float)input_size.data[1] / output_size_ref->at(0))};
+            (float)input_size[1] / output_size_ref->at(0))};
 
   } else {
     auto scales = graph.get_double_list(scale_factors);
@@ -105,7 +105,7 @@ void add_upsample_nearest2d_node(
       {{out, vkapi::MemoryAccessType::WRITE},
        {arg_in, vkapi::MemoryAccessType::READ}},
       // Shader params buffers
-      {t_out->texture_limits_ubo(),
+      {t_out->logical_limits_ubo(),
        graph.create_params_buffer(input_size),
        graph.create_params_buffer(rev_scales)},
       // Specialization Constants
diff --git a/backends/vulkan/runtime/graph/ops/impl/utils/DimUtils.h b/backends/vulkan/runtime/graph/ops/impl/utils/DimUtils.h
index 45dfceb3f0..4bd8e9b900 100644
--- a/backends/vulkan/runtime/graph/ops/impl/utils/DimUtils.h
+++ b/backends/vulkan/runtime/graph/ops/impl/utils/DimUtils.h
@@ -32,7 +32,8 @@ constexpr DimIndex kChannel4D = DimIndex::DIM_3RD_LAST;
 constexpr DimIndex kBatch4D = DimIndex::DIM_4TH_LAST;
 
 inline DimIndex normalize_to_dim_index(const api::vTensor& v_in, int32_t dim) {
-  return static_cast<DimIndex>(dim - v_in.dim());
+  return dim < 0 ? static_cast<DimIndex>(dim)
+                 : static_cast<DimIndex>(dim - v_in.dim());
 }
 
 /*
diff --git a/backends/vulkan/runtime/graph/ops/impl/utils/KernelUtils.cpp b/backends/vulkan/runtime/graph/ops/impl/utils/KernelUtils.cpp
index c5cef52f7a..2fb0f60b24 100644
--- a/backends/vulkan/runtime/graph/ops/impl/utils/KernelUtils.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/utils/KernelUtils.cpp
@@ -85,18 +85,18 @@ std::vector<int64_t> calc_out_sizes_hw(
   // Height
   out_sizes.at(0) = calc_out_size(
       in_sizes.at(ndim - 2),
-      kernel_size.data[1],
-      stride.data[1],
-      padding.data[1],
-      dilation.data[1],
+      kernel_size[1],
+      stride[1],
+      padding[1],
+      dilation[1],
       ceil_mode);
   // Width
   out_sizes.at(1) = calc_out_size(
       in_sizes.at(ndim - 1),
-      kernel_size.data[0],
-      stride.data[0],
-      padding.data[0],
-      dilation.data[0],
+      kernel_size[0],
+      stride[0],
+      padding[0],
+      dilation[0],
       ceil_mode);
 
   return out_sizes;
@@ -128,19 +128,19 @@ std::vector<int64_t> calc_transpose_out_sizes_hw(
   // Height
   out_sizes.at(0) = calc_transpose_out_size(
       in_sizes.at(ndim - 2),
-      kernel_size.data[1],
-      stride.data[1],
-      padding.data[1],
-      dilation.data[1],
-      output_padding.data[1]);
+      kernel_size[1],
+      stride[1],
+      padding[1],
+      dilation[1],
+      output_padding[1]);
   // Width
   out_sizes.at(1) = calc_transpose_out_size(
       in_sizes.at(ndim - 1),
-      kernel_size.data[0],
-      stride.data[0],
-      padding.data[0],
-      dilation.data[0],
-      output_padding.data[0]);
+      kernel_size[0],
+      stride[0],
+      padding[0],
+      dilation[0],
+      output_padding[0]);
 
   return out_sizes;
 }
diff --git a/backends/vulkan/runtime/graph/ops/impl/utils/QPackUtils.cpp b/backends/vulkan/runtime/graph/ops/impl/utils/QPackUtils.cpp
new file mode 100644
index 0000000000..4cf678a9dc
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/impl/utils/QPackUtils.cpp
@@ -0,0 +1,72 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/backends/vulkan/runtime/graph/ops/impl/utils/QPackUtils.h>
+
+namespace vkcompute {
+
+void pack4(const uint8_t* w_ptr, uint8_t* b_ptr, uint32_t N, uint32_t K) {
+  for (int32_t n = 0; n < N; n++) {
+    for (int32_t k2 = 0; k2 < K / 2; k2++) {
+      uint8_t src_val0 = w_ptr[n * K + k2 * 2];
+      uint8_t src_val1 = w_ptr[n * K + k2 * 2 + 1];
+      b_ptr[n * (K / 2) + k2] = (uint8_t(src_val1) << 4) | uint8_t(src_val0);
+    }
+  }
+}
+
+std::vector<uint8_t> int4mm_pack_weights(
+    const std::vector<int64_t>& W_sizes,
+    const uint8_t* w_ptr) {
+  const int32_t N = utils::val_at(-1, W_sizes);
+  const int32_t K = utils::val_at(-2, W_sizes);
+
+  const auto numel = K * N;
+  std::vector<uint8_t> w_ptr_T(numel);
+  std::vector<uint8_t> b_ptr(utils::div_up(numel, 2));
+
+  // Transpose the weights
+  for (int32_t k = 0; k < K; k++) {
+    for (int32_t n = 0; n < N; n++) {
+      w_ptr_T[n * K + k] = w_ptr[k * N + n];
+    }
+  }
+
+  // Pack two int4s into each int8
+  pack4(w_ptr_T.data(), b_ptr.data(), N, K);
+
+  return b_ptr;
+}
+
+std::vector<float> int4mm_dequantize_weights(
+    const std::vector<int64_t>& W_sizes,
+    const uint8_t* w_ptr,
+    const uint32_t group_size,
+    const float* scales_and_zeros) {
+  const int64_t N = utils::val_at(-1, W_sizes);
+  const int64_t K = utils::val_at(-2, W_sizes);
+
+  std::vector<float> w_ptr_deq(K * N);
+  const int k_groups = K / group_size;
+  const int zeros_stride = k_groups * N;
+
+  for (int k = 0; k < K; k++) {
+    for (int n = 0; n < N; n++) {
+      const int kb = k / group_size;
+      const int scale_idx = k_groups * n + kb;
+      const float scale = scales_and_zeros[scale_idx];
+      const float zero =
+          scales_and_zeros[scale_idx + zeros_stride] - scale * 8.0;
+      w_ptr_deq[k * N + n] = w_ptr[k * N + n] * scale + zero;
+    }
+  }
+
+  return w_ptr_deq;
+}
+
+} // namespace vkcompute
diff --git a/backends/vulkan/runtime/graph/ops/impl/utils/QPackUtils.h b/backends/vulkan/runtime/graph/ops/impl/utils/QPackUtils.h
new file mode 100644
index 0000000000..4c4cf26d50
--- /dev/null
+++ b/backends/vulkan/runtime/graph/ops/impl/utils/QPackUtils.h
@@ -0,0 +1,25 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <executorch/backends/vulkan/runtime/graph/ComputeGraph.h>
+
+namespace vkcompute {
+
+std::vector<uint8_t> int4mm_pack_weights(
+    const std::vector<int64_t>& W_sizes,
+    const uint8_t* w_ptr);
+
+std::vector<float> int4mm_dequantize_weights(
+    const std::vector<int64_t>& W_sizes,
+    const uint8_t* w_ptr,
+    const uint32_t group_size,
+    const float* scales_and_zeros);
+
+} // namespace vkcompute
diff --git a/backends/vulkan/runtime/graph/ops/impl/utils/TensorUtils.cpp b/backends/vulkan/runtime/graph/ops/impl/utils/TensorUtils.cpp
index 8d86c8287f..2737a86a1a 100644
--- a/backends/vulkan/runtime/graph/ops/impl/utils/TensorUtils.cpp
+++ b/backends/vulkan/runtime/graph/ops/impl/utils/TensorUtils.cpp
@@ -101,15 +101,15 @@ utils::ivec2 create_broadcast_params(
 
 utils::uvec3 adaptive_work_group_size(const utils::uvec3& global_work_group) {
   utils::uvec3 local_group_size = {4, 4, 4};
-  if (global_work_group.data[2u] == 1) {
-    if (global_work_group.data[1u] < 8) {
-      local_group_size.data[0u] = 16;
-      local_group_size.data[1u] = 4;
-      local_group_size.data[2u] = 1;
+  if (global_work_group[2u] == 1) {
+    if (global_work_group[1u] < 8) {
+      local_group_size[0u] = 16;
+      local_group_size[1u] = 4;
+      local_group_size[2u] = 1;
     } else {
-      local_group_size.data[0u] = 8;
-      local_group_size.data[1u] = 8;
-      local_group_size.data[2u] = 1;
+      local_group_size[0u] = 8;
+      local_group_size[1u] = 8;
+      local_group_size[2u] = 1;
     }
   }
   return local_group_size;
diff --git a/backends/vulkan/runtime/graph/ops/utils/BindingUtils.cpp b/backends/vulkan/runtime/graph/ops/utils/BindingUtils.cpp
index b0964ace22..2cfb34a052 100644
--- a/backends/vulkan/runtime/graph/ops/utils/BindingUtils.cpp
+++ b/backends/vulkan/runtime/graph/ops/utils/BindingUtils.cpp
@@ -66,7 +66,7 @@ uint32_t bind_params_to_descriptor_set(
 }
 
 void bind_staging_to_descriptor_set(
-    api::StorageBuffer& staging,
+    api::StagingBuffer& staging,
     vkapi::DescriptorSet& descriptor_set,
     const uint32_t idx) {
   descriptor_set.bind(idx, staging.buffer());
diff --git a/backends/vulkan/runtime/graph/ops/utils/BindingUtils.h b/backends/vulkan/runtime/graph/ops/utils/BindingUtils.h
index 3a7ec029da..eed39a9797 100644
--- a/backends/vulkan/runtime/graph/ops/utils/BindingUtils.h
+++ b/backends/vulkan/runtime/graph/ops/utils/BindingUtils.h
@@ -40,7 +40,7 @@ uint32_t bind_params_to_descriptor_set(
     const uint32_t base_idx);
 
 void bind_staging_to_descriptor_set(
-    api::StorageBuffer& staging,
+    api::StagingBuffer& staging,
     vkapi::DescriptorSet& descriptor_set,
     const uint32_t idx);
 
diff --git a/backends/vulkan/runtime/graph/ops/utils/StagingUtils.cpp b/backends/vulkan/runtime/graph/ops/utils/StagingUtils.cpp
index d681618d9d..8804bcf2ef 100644
--- a/backends/vulkan/runtime/graph/ops/utils/StagingUtils.cpp
+++ b/backends/vulkan/runtime/graph/ops/utils/StagingUtils.cpp
@@ -13,104 +13,50 @@
 
 #include <executorch/backends/vulkan/runtime/graph/ops/impl/utils/DimUtils.h>
 
-#include <cstring>
-
 namespace vkcompute {
 
-template <typename T>
-void memcpy_to_mapping_impl(
-    const void* src,
-    vkapi::MemoryMap& dst_mapping,
-    const size_t nbytes) {
-  T* data_ptr = dst_mapping.template data<T>();
-  memcpy(data_ptr, reinterpret_cast<const T*>(src), nbytes);
-}
-
-template <typename T>
-void memcpy_from_mapping_impl(
-    vkapi::MemoryMap& src_mapping,
-    void* dst,
-    const size_t nbytes) {
-  T* data_ptr = src_mapping.template data<T>();
-  memcpy(reinterpret_cast<T*>(dst), data_ptr, nbytes);
-}
-
-void memcpy_to_mapping(
-    const void* src,
-    vkapi::MemoryMap& dst_mapping,
-    const size_t nbytes,
-    const vkapi::ScalarType dtype) {
-#define DTYPE_CASE(ctype, vkformat, name)                    \
-  case vkapi::ScalarType::name:                              \
-    memcpy_to_mapping_impl<ctype>(src, dst_mapping, nbytes); \
-    break;
+vkapi::ShaderInfo get_nchw_to_tensor_shader(
+    const api::vTensor& v_dst,
+    const bool int8_buffer_enabled) {
+  std::string kernel_name;
+  kernel_name.reserve(kShaderNameReserve);
 
-  switch (dtype) {
-    VK_FORALL_SCALAR_TYPES(DTYPE_CASE)
-    default:
-      VK_THROW("Unrecognized dtype!");
+  if (v_dst.dtype() == vkapi::kChar &&
+      v_dst.storage_type() == utils::kTexture3D && !int8_buffer_enabled) {
+    return VK_KERNEL(nchw_to_int8_image_noint8);
   }
-#undef DTYPE_CASE
-}
-
-void memcpy_from_mapping(
-    vkapi::MemoryMap& src_mapping,
-    void* dst,
-    const size_t nbytes,
-    const vkapi::ScalarType dtype) {
-#define DTYPE_CASE(ctype, vkformat, name)                      \
-  case vkapi::ScalarType::name:                                \
-    memcpy_from_mapping_impl<ctype>(src_mapping, dst, nbytes); \
-    break;
 
-  switch (dtype) {
-    VK_FORALL_SCALAR_TYPES(DTYPE_CASE)
-    default:
-      VK_THROW("Unrecognized dtype!");
+  if (v_dst.storage_type() == utils::kBuffer) {
+    kernel_name = "nchw_to_buffer";
+    add_dtype_suffix(kernel_name, v_dst);
+    return VK_KERNEL_FROM_STR(kernel_name);
   }
-#undef DTYPE_CASE
-}
-
-void copy_ptr_to_staging(
-    const void* src,
-    api::StorageBuffer& staging,
-    const size_t nbytes) {
-  vkapi::MemoryMap mapping(staging.buffer(), vkapi::MemoryAccessType::WRITE);
-  mapping.invalidate();
-  memcpy_to_mapping(src, mapping, nbytes, staging.dtype());
-}
 
-void copy_staging_to_ptr(
-    api::StorageBuffer& staging,
-    void* dst,
-    const size_t nbytes) {
-  vkapi::MemoryMap mapping(staging.buffer(), vkapi::MemoryAccessType::READ);
-  mapping.invalidate();
-  memcpy_from_mapping(mapping, dst, nbytes, staging.dtype());
-}
-
-void set_staging_zeros(api::StorageBuffer& staging, const size_t nbytes) {
-  vkapi::MemoryMap mapping(staging.buffer(), vkapi::MemoryAccessType::WRITE);
-  uint8_t* data_ptr = mapping.template data<uint8_t>();
-  memset(data_ptr, 0, staging.nbytes());
-}
-
-vkapi::ShaderInfo get_nchw_to_tensor_shader(const api::vTensor& v_dst) {
-  std::string kernel_name;
-  kernel_name.reserve(kShaderNameReserve);
-
-  kernel_name = "nchw_to_tensor";
+  kernel_name = "nchw_to_image";
   add_dtype_suffix(kernel_name, v_dst);
   add_storage_type_suffix(kernel_name, v_dst);
 
   return VK_KERNEL_FROM_STR(kernel_name);
 }
 
-vkapi::ShaderInfo get_tensor_to_nchw_shader(const api::vTensor& v_src) {
+vkapi::ShaderInfo get_tensor_to_nchw_shader(
+    const api::vTensor& v_src,
+    bool int8_buffer_enabled) {
   std::string kernel_name;
   kernel_name.reserve(kShaderNameReserve);
 
-  kernel_name = "tensor_to_nchw";
+  if (v_src.dtype() == vkapi::kChar &&
+      v_src.storage_type() == utils::kTexture3D && !int8_buffer_enabled) {
+    return VK_KERNEL(int8_image_to_nchw_noint8);
+  }
+
+  if (v_src.storage_type() == utils::kBuffer) {
+    kernel_name = "buffer_to_nchw";
+    add_dtype_suffix(kernel_name, v_src);
+    return VK_KERNEL_FROM_STR(kernel_name);
+  }
+
+  kernel_name = "image_to_nchw";
   add_dtype_suffix(kernel_name, v_src);
   add_storage_type_suffix(kernel_name, v_src);
 
diff --git a/backends/vulkan/runtime/graph/ops/utils/StagingUtils.h b/backends/vulkan/runtime/graph/ops/utils/StagingUtils.h
index dfe86a9e26..8d63958a73 100644
--- a/backends/vulkan/runtime/graph/ops/utils/StagingUtils.h
+++ b/backends/vulkan/runtime/graph/ops/utils/StagingUtils.h
@@ -12,26 +12,11 @@
 
 namespace vkcompute {
 
-//
-// Functions to copy data into and out of a staging buffer
-//
-
-void copy_ptr_to_staging(
-    const void* src,
-    api::StorageBuffer& staging,
-    const size_t nbytes);
-void copy_staging_to_ptr(
-    api::StorageBuffer& staging,
-    void* dst,
-    const size_t nbytes);
-
-void set_staging_zeros(api::StorageBuffer& staging, const size_t nbytes);
-
-//
-// Functions to get shaders
-//
-
-vkapi::ShaderInfo get_nchw_to_tensor_shader(const api::vTensor& v_dst);
-vkapi::ShaderInfo get_tensor_to_nchw_shader(const api::vTensor& v_src);
+vkapi::ShaderInfo get_nchw_to_tensor_shader(
+    const api::vTensor& v_dst,
+    bool int8_buffer_enabled = true);
+vkapi::ShaderInfo get_tensor_to_nchw_shader(
+    const api::vTensor& v_src,
+    bool int8_buffer_enabled = true);
 
 } // namespace vkcompute
diff --git a/backends/vulkan/runtime/utils/VecUtils.h b/backends/vulkan/runtime/utils/VecUtils.h
index bc0179e4a4..ad4434cf5a 100644
--- a/backends/vulkan/runtime/utils/VecUtils.h
+++ b/backends/vulkan/runtime/utils/VecUtils.h
@@ -237,6 +237,38 @@ template <typename Type, uint32_t N>
 struct vec final {
   // NOLINTNEXTLINE
   Type data[N];
+
+  vec() = default;
+
+  // Standard constructor with initializer list
+  vec(std::initializer_list<Type> values) {
+    VK_CHECK_COND(values.size() == N);
+    std::copy(values.begin(), values.end(), data);
+  }
+
+  // Conversion constructor from an _integral_ vec type. Note that this is only
+  // defined if `OtherType` is an integral type to disallow implicit narrowing.
+  template <
+      typename OtherType,
+      typename std::enable_if<
+          !std::is_same<Type, OtherType>::value &&
+              std::is_integral<OtherType>::value,
+          int>::type = 0>
+  /* implicit */ vec(const vec<OtherType, N>& other) {
+    for (int i = 0; i < N; ++i) {
+      data[i] = safe_downcast<Type>(other[i]);
+    }
+  }
+
+  const Type& operator[](const uint32_t& i) const {
+    VK_CHECK_COND(i >= 0 && i < N, "Index out of bounds!");
+    return data[i];
+  }
+
+  Type& operator[](const uint32_t& i) {
+    VK_CHECK_COND(i >= 0 && i < N, "Index out of bounds!");
+    return data[i];
+  }
 };
 
 } // namespace detail
@@ -261,24 +293,22 @@ using vec4 = vec<4u>;
 
 // uvec3 is the type representing tensor extents. Useful for debugging.
 inline std::ostream& operator<<(std::ostream& os, const uvec3& v) {
-  os << "(" << v.data[0u] << ", " << v.data[1u] << ", " << v.data[2u] << ")";
+  os << "(" << v[0u] << ", " << v[1u] << ", " << v[2u] << ")";
   return os;
 }
 
 inline std::ostream& operator<<(std::ostream& os, const ivec3& v) {
-  os << "(" << v.data[0u] << ", " << v.data[1u] << ", " << v.data[2u] << ")";
+  os << "(" << v[0u] << ", " << v[1u] << ", " << v[2u] << ")";
   return os;
 }
 
 inline std::ostream& operator<<(std::ostream& os, const uvec4& v) {
-  os << "(" << v.data[0u] << ", " << v.data[1u] << ", " << v.data[2u] << ", "
-     << v.data[3u] << ")";
+  os << "(" << v[0u] << ", " << v[1u] << ", " << v[2u] << ", " << v[3u] << ")";
   return os;
 }
 
 inline std::ostream& operator<<(std::ostream& os, const ivec4& v) {
-  os << "(" << v.data[0u] << ", " << v.data[1u] << ", " << v.data[2u] << ", "
-     << v.data[3u] << ")";
+  os << "(" << v[0u] << ", " << v[1u] << ", " << v[2u] << ", " << v[3u] << ")";
   return os;
 }
 
@@ -288,7 +318,7 @@ inline detail::vec<T, N> divup_vec(
     const detail::vec<T, N>& b) {
   detail::vec<T, N> result;
   for (uint32_t i = 0; i < N; ++i) {
-    result.data[i] = utils::div_up(a.data[i], b.data[i]);
+    result[i] = utils::div_up(a[i], b[i]);
   }
   return result;
 }
@@ -369,7 +399,7 @@ inline ivec4 make_ivec4_prepadded1(const std::vector<int64_t>& ints) {
   ivec4 result = {1, 1, 1, 1};
   size_t base = 4 - ints.size();
   for (size_t i = 0; i < ints.size(); ++i) {
-    result.data[i + base] = safe_downcast<int32_t>(ints[i]);
+    result[i + base] = safe_downcast<int32_t>(ints[i]);
   }
 
   return result;
@@ -377,16 +407,16 @@ inline ivec4 make_ivec4_prepadded1(const std::vector<int64_t>& ints) {
 
 inline ivec3 make_ivec3(uvec3 ints) {
   return {
-      safe_downcast<int32_t>(ints.data[0u]),
-      safe_downcast<int32_t>(ints.data[1u]),
-      safe_downcast<int32_t>(ints.data[2u])};
+      safe_downcast<int32_t>(ints[0u]),
+      safe_downcast<int32_t>(ints[1u]),
+      safe_downcast<int32_t>(ints[2u])};
 }
 
 inline uvec3 make_uvec3(ivec3 ints) {
   return {
-      safe_downcast<uint32_t>(ints.data[0u]),
-      safe_downcast<uint32_t>(ints.data[1u]),
-      safe_downcast<uint32_t>(ints.data[2u])};
+      safe_downcast<uint32_t>(ints[0u]),
+      safe_downcast<uint32_t>(ints[1u]),
+      safe_downcast<uint32_t>(ints[2u])};
 }
 
 /*
diff --git a/backends/vulkan/runtime/vk_api/Command.cpp b/backends/vulkan/runtime/vk_api/Command.cpp
index 2803e3fc8d..713fd9917e 100644
--- a/backends/vulkan/runtime/vk_api/Command.cpp
+++ b/backends/vulkan/runtime/vk_api/Command.cpp
@@ -171,13 +171,10 @@ void CommandBuffer::dispatch(const utils::uvec3& global_workgroup_size) {
 
   vkCmdDispatch(
       handle_,
+      utils::div_up(global_workgroup_size[0u], bound_.local_workgroup_size[0u]),
+      utils::div_up(global_workgroup_size[1u], bound_.local_workgroup_size[1u]),
       utils::div_up(
-          global_workgroup_size.data[0u], bound_.local_workgroup_size.data[0u]),
-      utils::div_up(
-          global_workgroup_size.data[1u], bound_.local_workgroup_size.data[1u]),
-      utils::div_up(
-          global_workgroup_size.data[2u],
-          bound_.local_workgroup_size.data[2u]));
+          global_workgroup_size[2u], bound_.local_workgroup_size[2u]));
 
   state_ = CommandBuffer::State::RECORDING;
 }
diff --git a/backends/vulkan/runtime/vk_api/Descriptor.cpp b/backends/vulkan/runtime/vk_api/Descriptor.cpp
index 3d64fbf292..03b01c3fa8 100644
--- a/backends/vulkan/runtime/vk_api/Descriptor.cpp
+++ b/backends/vulkan/runtime/vk_api/Descriptor.cpp
@@ -38,6 +38,10 @@ ParamsBindList::ParamsBindList(
   std::copy(init_list.begin(), init_list.end(), bind_infos.begin());
 }
 
+void ParamsBindList::append(const BufferBindInfo& bind_info) {
+  bind_infos.emplace_back(bind_info);
+}
+
 void ParamsBindList::append(const ParamsBindList& other) {
   bind_infos.insert(
       bind_infos.end(), other.bind_infos.begin(), other.bind_infos.end());
diff --git a/backends/vulkan/runtime/vk_api/Descriptor.h b/backends/vulkan/runtime/vk_api/Descriptor.h
index 28a89149d4..418d79a6b3 100644
--- a/backends/vulkan/runtime/vk_api/Descriptor.h
+++ b/backends/vulkan/runtime/vk_api/Descriptor.h
@@ -39,8 +39,10 @@ struct BufferBindInfo final {
 struct ParamsBindList final {
   std::vector<BufferBindInfo> bind_infos;
 
+  ParamsBindList() = default;
   ParamsBindList(std::initializer_list<const BufferBindInfo> init_list);
 
+  void append(const BufferBindInfo& bind_info);
   void append(const ParamsBindList& other);
 };
 
diff --git a/backends/vulkan/runtime/vk_api/Shader.h b/backends/vulkan/runtime/vk_api/Shader.h
index 34c2d95c93..1e3b2a799f 100644
--- a/backends/vulkan/runtime/vk_api/Shader.h
+++ b/backends/vulkan/runtime/vk_api/Shader.h
@@ -53,8 +53,8 @@ class ShaderLayout final {
 
 struct ShaderInfo final {
   struct {
-    const uint32_t* bin;
-    uint32_t size;
+    const uint32_t* bin = nullptr;
+    uint32_t size = 0u;
   } src_code;
 
   std::string kernel_name{""};
@@ -71,6 +71,10 @@ struct ShaderInfo final {
       const uint32_t,
       std::vector<VkDescriptorType>,
       const utils::uvec3 tile_size);
+
+  operator bool() const {
+    return src_code.bin != nullptr;
+  };
 };
 
 bool operator==(const ShaderInfo& _1, const ShaderInfo& _2);
diff --git a/backends/vulkan/runtime/vk_api/VkUtils.h b/backends/vulkan/runtime/vk_api/VkUtils.h
index 2b9b48d9ff..b765d417d4 100644
--- a/backends/vulkan/runtime/vk_api/VkUtils.h
+++ b/backends/vulkan/runtime/vk_api/VkUtils.h
@@ -14,7 +14,7 @@ namespace vkcompute {
 namespace vkapi {
 
 inline VkExtent3D create_extent3d(const utils::uvec3& extents) {
-  return VkExtent3D{extents.data[0u], extents.data[1u], extents.data[2u]};
+  return VkExtent3D{extents[0u], extents[1u], extents[2u]};
 }
 
 } // namespace vkapi
diff --git a/backends/vulkan/runtime/vk_api/memory/Allocation.cpp b/backends/vulkan/runtime/vk_api/memory/Allocation.cpp
index aef6785466..908feb0d3f 100644
--- a/backends/vulkan/runtime/vk_api/memory/Allocation.cpp
+++ b/backends/vulkan/runtime/vk_api/memory/Allocation.cpp
@@ -26,38 +26,35 @@ namespace vkcompute {
 namespace vkapi {
 
 Allocation::Allocation()
-    : memory_requirements{},
-      create_info{},
-      allocator(VK_NULL_HANDLE),
-      allocation(VK_NULL_HANDLE) {}
+    : allocator(VK_NULL_HANDLE), allocation(VK_NULL_HANDLE), is_copy_(false) {}
 
 Allocation::Allocation(
     VmaAllocator vma_allocator,
     const VkMemoryRequirements& mem_props,
     const VmaAllocationCreateInfo& create_info)
-    : memory_requirements(mem_props),
-      create_info(create_info),
-      allocator(vma_allocator),
-      allocation(VK_NULL_HANDLE) {
+    : allocator(vma_allocator), allocation(VK_NULL_HANDLE), is_copy_(false) {
   VK_CHECK(vmaAllocateMemory(
-      allocator, &memory_requirements, &create_info, &allocation, nullptr));
+      allocator, &mem_props, &create_info, &allocation, nullptr));
 }
 
+Allocation::Allocation(const Allocation& other) noexcept
+    : allocator(other.allocator),
+      allocation(other.allocation),
+      is_copy_(true) {}
+
 Allocation::Allocation(Allocation&& other) noexcept
-    : memory_requirements(other.memory_requirements),
-      create_info(other.create_info),
-      allocator(other.allocator),
-      allocation(other.allocation) {
+    : allocator(other.allocator),
+      allocation(other.allocation),
+      is_copy_(other.is_copy_) {
   other.allocation = VK_NULL_HANDLE;
 }
 
 Allocation& Allocation::operator=(Allocation&& other) noexcept {
   VmaAllocation tmp_allocation = allocation;
 
-  memory_requirements = other.memory_requirements;
-  create_info = other.create_info;
   allocator = other.allocator;
   allocation = other.allocation;
+  is_copy_ = other.is_copy_;
 
   other.allocation = tmp_allocation;
 
@@ -65,7 +62,10 @@ Allocation& Allocation::operator=(Allocation&& other) noexcept {
 }
 
 Allocation::~Allocation() {
-  if (VK_NULL_HANDLE != allocation) {
+  // Do not destroy the VmaAllocation if this class instance is a copy of some
+  // other class instance, since this means that this class instance does not
+  // have ownership of the underlying resource.
+  if (VK_NULL_HANDLE != allocation && !is_copy_) {
     vmaFreeMemory(allocator, allocation);
   }
 }
diff --git a/backends/vulkan/runtime/vk_api/memory/Allocation.h b/backends/vulkan/runtime/vk_api/memory/Allocation.h
index 6a3fec9e73..e56605e14b 100644
--- a/backends/vulkan/runtime/vk_api/memory/Allocation.h
+++ b/backends/vulkan/runtime/vk_api/memory/Allocation.h
@@ -31,7 +31,23 @@ struct Allocation final {
       const VkMemoryRequirements&,
       const VmaAllocationCreateInfo&);
 
-  Allocation(const Allocation&) = delete;
+ protected:
+  /*
+   * The Copy constructor allows for creation of a class instance that are
+   * "aliases" of another class instance. The resulting class instance will not
+   * have ownership of the underlying VmaAllocation.
+   *
+   * This behaviour is analogous to creating a copy of a pointer, thus it is
+   * unsafe, as the original class instance may be destroyed before the copy.
+   * These constructors are therefore marked protected so that they may be used
+   * only in situations where the lifetime of the original class instance is
+   * guaranteed to exceed, or at least be the same as, the lifetime of the
+   * copied class instance.
+   */
+  Allocation(const Allocation&) noexcept;
+
+ public:
+  // To discourage creating copies, the assignment operator is still deleted.
   Allocation& operator=(const Allocation&) = delete;
 
   Allocation(Allocation&&) noexcept;
@@ -39,17 +55,27 @@ struct Allocation final {
 
   ~Allocation();
 
-  VkMemoryRequirements memory_requirements;
-  // The properties this allocation was created with
-  VmaAllocationCreateInfo create_info;
   // The allocator object this was allocated from
   VmaAllocator allocator;
   // Handles to the allocated memory
   VmaAllocation allocation;
 
+ private:
+  // Indicates whether this class instance is a copy of another class instance,
+  // in which case it does not have ownership of the underlying VmaAllocation
+  bool is_copy_;
+
+ public:
   operator bool() const {
     return (allocation != VK_NULL_HANDLE);
   }
+
+  inline bool is_copy() const {
+    return is_copy_;
+  }
+
+  friend class VulkanBuffer;
+  friend class VulkanImage;
 };
 
 } // namespace vkapi
diff --git a/backends/vulkan/runtime/vk_api/memory/Allocator.cpp b/backends/vulkan/runtime/vk_api/memory/Allocator.cpp
index 1dadca27a0..6533f06164 100644
--- a/backends/vulkan/runtime/vk_api/memory/Allocator.cpp
+++ b/backends/vulkan/runtime/vk_api/memory/Allocator.cpp
@@ -58,6 +58,13 @@ Allocator::~Allocator() {
   vmaDestroyAllocator(allocator_);
 }
 
+VmaAllocationCreateInfo Allocator::gpuonly_resource_create_info() {
+  VmaAllocationCreateInfo alloc_create_info = {};
+  alloc_create_info.flags = DEFAULT_ALLOCATION_STRATEGY;
+  alloc_create_info.usage = VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE;
+  return alloc_create_info;
+}
+
 Allocation Allocator::create_allocation(
     const VkMemoryRequirements& memory_requirements,
     const VmaAllocationCreateInfo& create_info) {
@@ -103,9 +110,7 @@ VulkanImage Allocator::create_image(
         (VK_IMAGE_USAGE_TRANSFER_SRC_BIT | VK_IMAGE_USAGE_TRANSFER_DST_BIT);
   }
 
-  VmaAllocationCreateInfo alloc_create_info = {};
-  alloc_create_info.flags = DEFAULT_ALLOCATION_STRATEGY;
-  alloc_create_info.usage = VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE;
+  VmaAllocationCreateInfo alloc_create_info = gpuonly_resource_create_info();
 
   const VulkanImage::ImageProperties image_props{
       image_type,
@@ -132,45 +137,34 @@ VulkanImage Allocator::create_image(
       allocate_memory);
 }
 
-VulkanBuffer Allocator::create_storage_buffer(
-    const VkDeviceSize size,
-    const bool gpu_only,
-    const bool allocate_memory) {
+VulkanBuffer Allocator::create_staging_buffer(const VkDeviceSize size) {
   const VkBufferUsageFlags buffer_usage = VK_BUFFER_USAGE_STORAGE_BUFFER_BIT;
 
   VmaAllocationCreateInfo alloc_create_info = {};
   alloc_create_info.flags = DEFAULT_ALLOCATION_STRATEGY;
   alloc_create_info.usage = VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE;
 
-  // The create storage buffer will be accessed by both the CPU and GPU, so set
-  // the appropriate flags to indicate that the host device will be accessing
+  // Staging buffers are accessed by both the CPU and GPU, so set the
+  // appropriate flags to indicate that the host device will be accessing
   // the data from this buffer.
-  if (!gpu_only) {
-    // Deferred memory allocation should only be used for GPU only buffers.
-    VK_CHECK_COND(
-        allocate_memory,
-        "Only GPU-only buffers should use deferred memory allocation");
-
-    alloc_create_info.flags |= VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT;
-    alloc_create_info.usage = VMA_MEMORY_USAGE_AUTO_PREFER_HOST;
-    alloc_create_info.requiredFlags = VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT;
-    alloc_create_info.preferredFlags = VK_MEMORY_PROPERTY_HOST_COHERENT_BIT |
-        VK_MEMORY_PROPERTY_HOST_CACHED_BIT;
-  }
+  alloc_create_info.flags |= VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT |
+      VMA_ALLOCATION_CREATE_MAPPED_BIT;
+  alloc_create_info.usage = VMA_MEMORY_USAGE_AUTO_PREFER_HOST;
+  alloc_create_info.requiredFlags = VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT;
+  alloc_create_info.preferredFlags =
+      VK_MEMORY_PROPERTY_HOST_COHERENT_BIT | VK_MEMORY_PROPERTY_HOST_CACHED_BIT;
 
-  return VulkanBuffer(
-      allocator_, size, alloc_create_info, buffer_usage, allocate_memory);
+  return VulkanBuffer(allocator_, size, alloc_create_info, buffer_usage);
 }
 
-VulkanBuffer Allocator::create_staging_buffer(const VkDeviceSize size) {
-  VmaAllocationCreateInfo alloc_create_info = {};
-  alloc_create_info.flags = DEFAULT_ALLOCATION_STRATEGY;
-  alloc_create_info.usage = VMA_MEMORY_USAGE_AUTO_PREFER_HOST;
-
-  VkBufferUsageFlags buffer_usage =
-      VK_BUFFER_USAGE_TRANSFER_SRC_BIT | VK_BUFFER_USAGE_TRANSFER_DST_BIT;
+VulkanBuffer Allocator::create_storage_buffer(
+    const VkDeviceSize size,
+    const bool allocate_memory) {
+  const VkBufferUsageFlags buffer_usage = VK_BUFFER_USAGE_STORAGE_BUFFER_BIT;
 
-  return VulkanBuffer(allocator_, size, alloc_create_info, buffer_usage);
+  VmaAllocationCreateInfo alloc_create_info = gpuonly_resource_create_info();
+  return VulkanBuffer(
+      allocator_, size, alloc_create_info, buffer_usage, allocate_memory);
 }
 
 VulkanBuffer Allocator::create_uniform_buffer(const VkDeviceSize size) {
@@ -181,9 +175,7 @@ VulkanBuffer Allocator::create_uniform_buffer(const VkDeviceSize size) {
 
   VkBufferUsageFlags buffer_usage = VK_BUFFER_USAGE_UNIFORM_BUFFER_BIT;
 
-  VulkanBuffer uniform_buffer(
-      allocator_, size, alloc_create_info, buffer_usage);
-  return uniform_buffer;
+  return VulkanBuffer(allocator_, size, alloc_create_info, buffer_usage);
 }
 
 } // namespace vkapi
diff --git a/backends/vulkan/runtime/vk_api/memory/Allocator.h b/backends/vulkan/runtime/vk_api/memory/Allocator.h
index 904163cefb..56385eb54d 100644
--- a/backends/vulkan/runtime/vk_api/memory/Allocator.h
+++ b/backends/vulkan/runtime/vk_api/memory/Allocator.h
@@ -48,6 +48,8 @@ class Allocator final {
   VmaAllocator allocator_;
 
  public:
+  VmaAllocationCreateInfo gpuonly_resource_create_info();
+
   Allocation create_allocation(
       const VkMemoryRequirements& memory_requirements,
       const VmaAllocationCreateInfo& create_info);
@@ -62,13 +64,12 @@ class Allocator final {
       const bool allow_transfer = false,
       const bool allocate_memory = true);
 
+  VulkanBuffer create_staging_buffer(const VkDeviceSize);
+
   VulkanBuffer create_storage_buffer(
       const VkDeviceSize,
-      const bool gpu_only = true,
       const bool allocate_memory = true);
 
-  VulkanBuffer create_staging_buffer(const VkDeviceSize);
-
   /*
    * Create a uniform buffer with a specified size
    */
diff --git a/backends/vulkan/runtime/vk_api/memory/Buffer.cpp b/backends/vulkan/runtime/vk_api/memory/Buffer.cpp
index 29b0e9e3ac..2af3d9efe3 100644
--- a/backends/vulkan/runtime/vk_api/memory/Buffer.cpp
+++ b/backends/vulkan/runtime/vk_api/memory/Buffer.cpp
@@ -20,6 +20,7 @@ VulkanBuffer::VulkanBuffer()
       allocator_(VK_NULL_HANDLE),
       memory_{},
       owns_memory_(false),
+      is_copy_(false),
       handle_(VK_NULL_HANDLE) {}
 
 VulkanBuffer::VulkanBuffer(
@@ -37,6 +38,7 @@ VulkanBuffer::VulkanBuffer(
       allocator_(vma_allocator),
       memory_{},
       owns_memory_(allocate_memory),
+      is_copy_(false),
       handle_(VK_NULL_HANDLE) {
   // If the buffer size is 0, allocate a buffer with a size of 1 byte. This is
   // to ensure that there will be some resource that can be bound to a shader.
@@ -56,8 +58,6 @@ VulkanBuffer::VulkanBuffer(
       nullptr, // pQueueFamilyIndices
   };
 
-  memory_.create_info = allocation_create_info;
-
   if (allocate_memory) {
     VK_CHECK(vmaCreateBuffer(
         allocator_,
@@ -74,11 +74,29 @@ VulkanBuffer::VulkanBuffer(
   }
 }
 
+VulkanBuffer::VulkanBuffer(
+    const VulkanBuffer& other,
+    const VkDeviceSize offset,
+    const VkDeviceSize range) noexcept
+    : buffer_properties_(other.buffer_properties_),
+      allocator_(other.allocator_),
+      memory_(other.memory_),
+      owns_memory_(false),
+      is_copy_(true),
+      handle_(other.handle_) {
+  // TODO: set the offset and range appropriately
+  buffer_properties_.mem_offset = other.buffer_properties_.mem_offset + offset;
+  if (range != VK_WHOLE_SIZE) {
+    buffer_properties_.mem_range = range;
+  }
+}
+
 VulkanBuffer::VulkanBuffer(VulkanBuffer&& other) noexcept
     : buffer_properties_(other.buffer_properties_),
       allocator_(other.allocator_),
       memory_(std::move(other.memory_)),
       owns_memory_(other.owns_memory_),
+      is_copy_(other.is_copy_),
       handle_(other.handle_) {
   other.handle_ = VK_NULL_HANDLE;
 }
@@ -91,6 +109,7 @@ VulkanBuffer& VulkanBuffer::operator=(VulkanBuffer&& other) noexcept {
   allocator_ = other.allocator_;
   memory_ = std::move(other.memory_);
   owns_memory_ = other.owns_memory_;
+  is_copy_ = other.is_copy_;
   handle_ = other.handle_;
 
   other.handle_ = tmp_buffer;
@@ -100,7 +119,10 @@ VulkanBuffer& VulkanBuffer::operator=(VulkanBuffer&& other) noexcept {
 }
 
 VulkanBuffer::~VulkanBuffer() {
-  if (VK_NULL_HANDLE != handle_) {
+  // Do not destroy the VkBuffer if this class instance is a copy of another
+  // class instance, since this means that this class instance does not have
+  // ownership of the underlying resource.
+  if (VK_NULL_HANDLE != handle_ && !is_copy_) {
     if (owns_memory_) {
       vmaDestroyBuffer(allocator_, handle_, memory_.allocation);
     } else {
@@ -113,6 +135,12 @@ VulkanBuffer::~VulkanBuffer() {
   }
 }
 
+VmaAllocationInfo VulkanBuffer::allocation_info() const {
+  VmaAllocationInfo info;
+  vmaGetAllocationInfo(allocator_, memory_.allocation, &info);
+  return info;
+}
+
 VkMemoryRequirements VulkanBuffer::get_memory_requirements() const {
   VkMemoryRequirements memory_requirements;
   vkGetBufferMemoryRequirements(this->device(), handle_, &memory_requirements);
diff --git a/backends/vulkan/runtime/vk_api/memory/Buffer.h b/backends/vulkan/runtime/vk_api/memory/Buffer.h
index d868ed0ac7..6197a02d40 100644
--- a/backends/vulkan/runtime/vk_api/memory/Buffer.h
+++ b/backends/vulkan/runtime/vk_api/memory/Buffer.h
@@ -19,6 +19,12 @@
 #include <executorch/backends/vulkan/runtime/vk_api/memory/Allocation.h>
 
 namespace vkcompute {
+
+// Forward declare vTensor classes such that they can be set as friend classes
+namespace api {
+class vTensorStorage;
+} // namespace api
+
 namespace vkapi {
 
 using MemoryAccessFlags = uint8_t;
@@ -47,8 +53,27 @@ class VulkanBuffer final {
       const VkBufferUsageFlags,
       const bool allocate_memory = true);
 
-  VulkanBuffer(const VulkanBuffer&) = delete;
-  VulkanBuffer& operator=(const VulkanBuffer&) = delete;
+ protected:
+  /*
+   * The Copy constructor and allows for creation of a class instance that are
+   * "aliases" of another class instance. The resulting class instance will not
+   * have ownership of the underlying VkBuffer.
+   *
+   * This behaviour is analogous to creating a copy of a pointer, thus it is
+   * unsafe, as the original class instance may be destroyed before the copy.
+   * These constructors are therefore marked protected so that they may be used
+   * only in situations where the lifetime of the original class instance is
+   * guaranteed to exceed, or at least be the same as, the lifetime of the
+   * copied class instance.
+   */
+  VulkanBuffer(
+      const VulkanBuffer& other,
+      const VkDeviceSize offset = 0u,
+      const VkDeviceSize range = VK_WHOLE_SIZE) noexcept;
+
+ public:
+  // To discourage creating copies, the assignment operator is still deleted.
+  VulkanBuffer& operator=(const VulkanBuffer& other) = delete;
 
   VulkanBuffer(VulkanBuffer&&) noexcept;
   VulkanBuffer& operator=(VulkanBuffer&&) noexcept;
@@ -69,6 +94,9 @@ class VulkanBuffer final {
   Allocation memory_;
   // Indicates whether the underlying memory is owned by this resource
   bool owns_memory_;
+  // Indicates whether this VulkanBuffer was copied from another VulkanBuffer,
+  // thus it does not have ownership of the underlying VKBuffer
+  bool is_copy_;
   VkBuffer handle_;
 
  public:
@@ -86,9 +114,7 @@ class VulkanBuffer final {
     return memory_.allocation;
   }
 
-  inline VmaAllocationCreateInfo allocation_create_info() const {
-    return VmaAllocationCreateInfo(memory_.create_info);
-  }
+  VmaAllocationInfo allocation_info() const;
 
   inline VkBuffer handle() const {
     return handle_;
@@ -114,10 +140,18 @@ class VulkanBuffer final {
     return owns_memory_;
   }
 
+  inline bool is_copy() const {
+    return is_copy_;
+  }
+
   operator bool() const {
     return (handle_ != VK_NULL_HANDLE);
   }
 
+  inline bool is_copy_of(const VulkanBuffer& other) const {
+    return (handle_ == other.handle_) && is_copy_;
+  }
+
   inline void bind_allocation(const Allocation& memory) {
     VK_CHECK_COND(!memory_, "Cannot bind an already bound allocation!");
     VK_CHECK(vmaBindBufferMemory(allocator_, memory.allocation, handle_));
@@ -125,6 +159,8 @@ class VulkanBuffer final {
   }
 
   VkMemoryRequirements get_memory_requirements() const;
+
+  friend class api::vTensorStorage;
 };
 
 class MemoryMap final {
diff --git a/backends/vulkan/runtime/vk_api/memory/Image.cpp b/backends/vulkan/runtime/vk_api/memory/Image.cpp
index 42352cfb7e..5029d16616 100644
--- a/backends/vulkan/runtime/vk_api/memory/Image.cpp
+++ b/backends/vulkan/runtime/vk_api/memory/Image.cpp
@@ -98,6 +98,7 @@ VulkanImage::VulkanImage()
       allocator_(VK_NULL_HANDLE),
       memory_{},
       owns_memory_(false),
+      is_copy_(false),
       handles_{
           VK_NULL_HANDLE,
           VK_NULL_HANDLE,
@@ -120,6 +121,7 @@ VulkanImage::VulkanImage(
       allocator_(vma_allocator),
       memory_{},
       owns_memory_{allocate_memory},
+      is_copy_(false),
       handles_{
           VK_NULL_HANDLE,
           VK_NULL_HANDLE,
@@ -157,8 +159,6 @@ VulkanImage::VulkanImage(
       layout_, // initialLayout
   };
 
-  memory_.create_info = allocation_create_info;
-
   if (allocate_memory) {
     VK_CHECK(vmaCreateImage(
         allocator_,
@@ -175,6 +175,17 @@ VulkanImage::VulkanImage(
   }
 }
 
+VulkanImage::VulkanImage(const VulkanImage& other) noexcept
+    : image_properties_(other.image_properties_),
+      view_properties_(other.view_properties_),
+      sampler_properties_(other.sampler_properties_),
+      allocator_(other.allocator_),
+      memory_(other.memory_),
+      owns_memory_{false},
+      is_copy_(true),
+      handles_(other.handles_),
+      layout_(other.layout_) {}
+
 VulkanImage::VulkanImage(VulkanImage&& other) noexcept
     : image_properties_(other.image_properties_),
       view_properties_(other.view_properties_),
@@ -182,6 +193,7 @@ VulkanImage::VulkanImage(VulkanImage&& other) noexcept
       allocator_(other.allocator_),
       memory_(std::move(other.memory_)),
       owns_memory_(other.owns_memory_),
+      is_copy_(other.is_copy_),
       handles_(other.handles_),
       layout_(other.layout_) {
   other.handles_.image = VK_NULL_HANDLE;
@@ -201,6 +213,7 @@ VulkanImage& VulkanImage::operator=(VulkanImage&& other) noexcept {
   allocator_ = other.allocator_;
   memory_ = std::move(other.memory_);
   owns_memory_ = other.owns_memory_;
+  is_copy_ = other.is_copy_;
   handles_ = other.handles_;
   layout_ = other.layout_;
 
@@ -212,6 +225,13 @@ VulkanImage& VulkanImage::operator=(VulkanImage&& other) noexcept {
 }
 
 VulkanImage::~VulkanImage() {
+  // Do not destroy any resources if this class instance is a copy of another
+  // class instance, since this means that this class instance does not have
+  // ownership of the underlying resource.
+  if (is_copy_) {
+    return;
+  }
+
   if (VK_NULL_HANDLE != handles_.image_view) {
     vkDestroyImageView(this->device(), handles_.image_view, nullptr);
   }
diff --git a/backends/vulkan/runtime/vk_api/memory/Image.h b/backends/vulkan/runtime/vk_api/memory/Image.h
index 1e78f84a5c..447e980595 100644
--- a/backends/vulkan/runtime/vk_api/memory/Image.h
+++ b/backends/vulkan/runtime/vk_api/memory/Image.h
@@ -22,6 +22,12 @@
 #include <unordered_map>
 
 namespace vkcompute {
+
+// Forward declare vTensor classes such that they can be set as friend classes
+namespace api {
+class vTensorStorage;
+} // namespace api
+
 namespace vkapi {
 
 class ImageSampler final {
@@ -96,7 +102,23 @@ class VulkanImage final {
       VkSampler,
       const bool allocate_memory = true);
 
-  VulkanImage(const VulkanImage&) = delete;
+ protected:
+  /*
+   * The Copy constructor allows for creation of a class instance that are
+   * "aliases" of another class instance. The resulting class instance will not
+   * have ownership of the underlying VkImage.
+   *
+   * This behaviour is analogous to creating a copy of a pointer, thus it is
+   * unsafe, as the original class instance may be destroyed before the copy.
+   * These constructors are therefore marked protected so that they may be used
+   * only in situations where the lifetime of the original class instance is
+   * guaranteed to exceed, or at least be the same as, the lifetime of the
+   * copied class instance.
+   */
+  VulkanImage(const VulkanImage& other) noexcept;
+
+ public:
+  // To discourage creating copies, the assignment operator is still deleted.
   VulkanImage& operator=(const VulkanImage&) = delete;
 
   VulkanImage(VulkanImage&&) noexcept;
@@ -123,6 +145,9 @@ class VulkanImage final {
   Allocation memory_;
   // Indicates whether the underlying memory is owned by this resource
   bool owns_memory_;
+  // Indicates whether this VulkanImage was copied from another VulkanImage,
+  // thus it does not have ownership of the underlying VKBuffer
+  bool is_copy_;
   Handles handles_;
   // Layout
   VkImageLayout layout_;
@@ -144,10 +169,6 @@ class VulkanImage final {
     return memory_.allocation;
   }
 
-  inline VmaAllocationCreateInfo allocation_create_info() const {
-    return VmaAllocationCreateInfo(memory_.create_info);
-  }
-
   inline VkFormat format() const {
     return image_properties_.image_format;
   }
@@ -193,10 +214,18 @@ class VulkanImage final {
     return owns_memory_;
   }
 
+  inline bool is_copy() const {
+    return is_copy_;
+  }
+
   inline operator bool() const {
     return (handles_.image != VK_NULL_HANDLE);
   }
 
+  inline bool is_copy_of(const VulkanImage& other) const {
+    return (handles_.image == other.handles_.image) && is_copy_;
+  }
+
   inline void bind_allocation(const Allocation& memory) {
     VK_CHECK_COND(!memory_, "Cannot bind an already bound allocation!");
     VK_CHECK(vmaBindImageMemory(allocator_, memory.allocation, handles_.image));
@@ -207,6 +236,8 @@ class VulkanImage final {
   }
 
   VkMemoryRequirements get_memory_requirements() const;
+
+  friend class api::vTensorStorage;
 };
 
 struct ImageMemoryBarrier final {
diff --git a/backends/vulkan/serialization/vulkan_graph_builder.py b/backends/vulkan/serialization/vulkan_graph_builder.py
index da40f0a720..20d09f1df5 100644
--- a/backends/vulkan/serialization/vulkan_graph_builder.py
+++ b/backends/vulkan/serialization/vulkan_graph_builder.py
@@ -24,6 +24,9 @@
     Node, NoneType, _ScalarType, TensorSpec, List[_ScalarType], List[Node], str
 ]
 
+logger: logging.Logger = logging.getLogger("")
+logger.setLevel(logging.INFO)
+
 
 class VkGraphBuilder:
     def __init__(
@@ -351,9 +354,9 @@ def build_graph(self) -> vk_graph_schema.VkGraph:
             self.process_node(node, call_node_debug_hdl)
             call_node_debug_hdl += 1
 
-        logging.info("Operators included in this Vulkan partition: ")
+        logger.info("Operators included in this Vulkan partition: ")
         for op in self.seen_ops:
-            logging.info(f"    {op.__name__}")
+            logger.info(f"    {op.__name__}")
 
         return vk_graph_schema.VkGraph(
             version="0",
diff --git a/backends/vulkan/test/glsl/all_shaders.yaml b/backends/vulkan/test/glsl/all_shaders.yaml
index edba41b7ea..37403c97ac 100644
--- a/backends/vulkan/test/glsl/all_shaders.yaml
+++ b/backends/vulkan/test/glsl/all_shaders.yaml
@@ -47,21 +47,12 @@ idx_fill_buffer:
 idx_fill_texture:
   parameter_names_with_default_values:
     DTYPE: float
-    NDIM: 3
-    PACKING: CHANNELS_PACKED
   generate_variant_forall:
-    PACKING:
-      - VALUE: "CHANNELS_PACKED"
-        SUFFIX: "C_packed"
-      - VALUE: "WIDTH_PACKED"
-        SUFFIX: "W_packed"
-      - VALUE: "HEIGHT_PACKED"
-        SUFFIX: "H_packed"
     DTYPE:
-      - VALUE: "half"
-        SUFFIX: "half"
-      - VALUE: "float"
-        SUFFIX: "float"
+      - VALUE: half
+      - VALUE: float
+      - VALUE: int
+      - VALUE: int8
   shader_variants:
     - NAME: idx_fill_texture
 
diff --git a/backends/vulkan/test/glsl/idx_fill_buffer.glsl b/backends/vulkan/test/glsl/idx_fill_buffer.glsl
index 98cf04e338..d32c52c205 100644
--- a/backends/vulkan/test/glsl/idx_fill_buffer.glsl
+++ b/backends/vulkan/test/glsl/idx_fill_buffer.glsl
@@ -10,39 +10,24 @@
 
 #define PRECISION ${PRECISION}
 
-#define VEC4_T ${buffer_gvec_type(DTYPE, 4)}
+#define T ${buffer_scalar_type(DTYPE)}
 
 #include "indexing_utils.h"
 
-$if DTYPE == "half":
-  #extension GL_EXT_shader_16bit_storage : require
-  #extension GL_EXT_shader_explicit_arithmetic_types_float16 : require
-$elif DTYPE == "int8":
-  #extension GL_EXT_shader_8bit_storage : require
-  #extension GL_EXT_shader_explicit_arithmetic_types_int8 : require
-$elif DTYPE == "uint8":
-  #extension GL_EXT_shader_8bit_storage : require
-  #extension GL_EXT_shader_explicit_arithmetic_types_uint8 : require
+${define_required_extensions(DTYPE)}
 
 layout(std430) buffer;
 
-layout(set = 0, binding = 0) buffer  PRECISION restrict writeonly Buffer {
-  VEC4_T data[];
-}
-buffer_in;
-
-layout(set = 0, binding = 1) uniform PRECISION restrict Params {
-  int len;
-}
-params;
+${layout_declare_buffer(0, "w", "out_buf", DTYPE, PRECISION, True)}
+${layout_declare_ubo(1, "int", "numel")}
 
 layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
 
 void main() {
-  const int i = ivec3(gl_GlobalInvocationID).x;
-
-  const int base = 4 * i;
-  if (base < params.len) {
-    buffer_in.data[i] = VEC4_T(base, base + 1, base + 2, base + 3);
+  const int t_id = ivec3(gl_GlobalInvocationID).x;
+  if (t_id >= numel) {
+    return;
   }
+
+  out_buf[t_id] = T(t_id);
 }
diff --git a/backends/vulkan/test/glsl/idx_fill_texture.glsl b/backends/vulkan/test/glsl/idx_fill_texture.glsl
index 1f75cadf49..8914d2b892 100644
--- a/backends/vulkan/test/glsl/idx_fill_texture.glsl
+++ b/backends/vulkan/test/glsl/idx_fill_texture.glsl
@@ -12,21 +12,17 @@
 
 #define VEC4_T ${texel_type(DTYPE)}
 
-#define POS ${get_pos[NDIM]("pos")}
-
 #include "indexing_utils.h"
 
 layout(std430) buffer;
 
-layout(set = 0, binding = 0, ${IMAGE_FORMAT[DTYPE]}) uniform PRECISION restrict writeonly ${IMAGE_T[NDIM][DTYPE]} image_out;
-
-layout(set = 0, binding = 1) uniform PRECISION restrict Sizes {
-  ivec4 sizes;
-};
+${layout_declare_tensor(0, "w", "image_out", DTYPE, "texture3d")}
+${layout_declare_ubo(1, "ivec4", "sizes")}
 
 layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
 
 layout(constant_id = 3) const int packed_dim = C_DIM;
+layout(constant_id = 4) const int offset = 10;
 
 void main() {
   const ivec3 pos = ivec3(gl_GlobalInvocationID);
@@ -37,6 +33,6 @@ void main() {
   }
 
   const ivec4 buf_indices = get_texel_nchw_buffer_ixs(idx, sizes, packed_dim);
-  VEC4_T texel = VEC4_T(buf_indices);
-  imageStore(image_out, POS, texel);
+  VEC4_T texel = VEC4_T(buf_indices) + offset;
+  imageStore(image_out, pos, texel);
 }
diff --git a/backends/vulkan/test/glsl/reference_matmul.glsl b/backends/vulkan/test/glsl/reference_matmul.glsl
new file mode 100644
index 0000000000..5278b3abc5
--- /dev/null
+++ b/backends/vulkan/test/glsl/reference_matmul.glsl
@@ -0,0 +1,48 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#version 450 core
+
+#define PRECISION highp
+
+layout(std430) buffer;
+
+${layout_declare_tensor(0, "w", "t_out", "float", "buffer")}
+${layout_declare_tensor(1, "r", "t_mat1", "float", "buffer")}
+${layout_declare_tensor(2, "r", "t_mat2", "float", "buffer")}
+${layout_declare_ubo(3, "ivec4", "out_sizes")}
+${layout_declare_ubo(4, "ivec4", "out_strides")}
+${layout_declare_ubo(5, "ivec4", "mat1_sizes")}
+${layout_declare_ubo(6, "ivec4", "mat1_strides")}
+${layout_declare_ubo(7, "ivec4", "mat2_sizes")}
+${layout_declare_ubo(8, "ivec4", "mat2_strides")}
+
+layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
+
+void main() {
+  const ivec2 out_idx = ivec2(gl_GlobalInvocationID.x, gl_GlobalInvocationID.y);
+  if (any(greaterThanEqual(out_idx, out_sizes.xy))) {
+    return;
+  }
+
+  // Initial idx for mat1 is (0, out_idx.y)
+  int mat1_id = out_idx.y * mat1_strides.y;
+  // Initial idx for mat2 is (out_idx.x, 0)
+  int mat2_id = out_idx.x * mat2_strides.x;
+
+  float sum = 0.0;
+  for (int i = 0; i < mat1_sizes.x; ++i) {
+    sum += t_mat1[mat1_id] * t_mat2[mat2_id];
+
+    mat1_id += mat1_strides.x;
+    mat2_id += mat2_strides.y;
+  }
+
+  const int out_id = out_idx.x * out_strides.x + out_idx.y * out_strides.y;
+  t_out[out_id] = sum;
+}
diff --git a/backends/vulkan/test/glsl/scalar_add_buffer.glsl b/backends/vulkan/test/glsl/scalar_add_buffer.glsl
index 7f6cb2db47..cd3a85a165 100644
--- a/backends/vulkan/test/glsl/scalar_add_buffer.glsl
+++ b/backends/vulkan/test/glsl/scalar_add_buffer.glsl
@@ -10,22 +10,14 @@
 
 #define PRECISION ${PRECISION}
 
-#define VEC4_T ${texel_load_type(DTYPE, "buffer")}
-
-$if DTYPE == "half":
-  #extension GL_EXT_shader_16bit_storage : require
-  #extension GL_EXT_shader_explicit_arithmetic_types_float16 : require
-$elif DTYPE == "int8":
-  #extension GL_EXT_shader_8bit_storage : require
-  #extension GL_EXT_shader_explicit_arithmetic_types_int8 : require
-$elif DTYPE == "uint8":
-  #extension GL_EXT_shader_8bit_storage : require
-  #extension GL_EXT_shader_explicit_arithmetic_types_uint8 : require
+${define_required_extensions(DTYPE)}
+
+#define T ${buffer_scalar_type(DTYPE)}
 
 layout(std430) buffer;
 
 ${layout_declare_tensor(0, "rw", "buffer_in", DTYPE, "buffer")}
-${layout_declare_ubo(1, "int", "ntexels")}
+${layout_declare_ubo(1, "int", "numel")}
 
 layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
 
@@ -33,9 +25,9 @@ layout(constant_id = 3) const float scalar = 2.0;
 
 void main() {
   const int t_id = ivec3(gl_GlobalInvocationID).x;
-  if (t_id >= ntexels) {
+  if (t_id >= numel) {
     return;
   }
 
-  buffer_in[t_id] = buffer_in[t_id] + VEC4_T(scalar);// buffer_in[t_id];
+  buffer_in[t_id] = buffer_in[t_id] + T(scalar);
 }
diff --git a/backends/vulkan/test/glsl/scalar_add_texture.glsl b/backends/vulkan/test/glsl/scalar_add_texture.glsl
new file mode 100644
index 0000000000..aa2b22c81f
--- /dev/null
+++ b/backends/vulkan/test/glsl/scalar_add_texture.glsl
@@ -0,0 +1,29 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#version 450 core
+
+#define PRECISION ${PRECISION}
+
+layout(std430) buffer;
+
+${layout_declare_tensor(0, "rw", "t_in", "float", "texture3d")}
+${layout_declare_ubo(1, "uvec3", "extents")}
+${layout_declare_ubo(2, "int", "scalar")}
+
+layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
+
+void main() {
+  const ivec3 pos = ivec3(gl_GlobalInvocationID);
+  if (any(greaterThanEqual(pos, extents))) {
+    return;
+  }
+
+  vec4 in_tex = imageLoad(t_in, pos);
+  imageStore(t_in, pos, imageLoad(t_in, pos) + float(scalar));
+}
diff --git a/backends/vulkan/test/op_tests/cases.py b/backends/vulkan/test/op_tests/cases.py
index ff5c7a60e0..f2276b0247 100644
--- a/backends/vulkan/test/op_tests/cases.py
+++ b/backends/vulkan/test/op_tests/cases.py
@@ -49,6 +49,7 @@ def get_binary_elementwise_inputs():
             ((S, S1, S2), (S, S1, S2)),
             ((S, S1, S2), (S, S1, 1), 2.0),
             ((S, S1, S2), (S, 1, S2), 2.0),
+            ((XS, S, S1, S2), (XS, S, 1, 1), 2.0),
         ]
     )
     test_suite.layouts = [
@@ -70,6 +71,7 @@ def get_mm_inputs():
     test_suite.prepacked_args = ["mat2"]
     # ATen matmul doesn't support half
     test_suite.dtypes = ["at::kFloat"]
+    test_suite.storage_types = ["utils::kTexture3D", "utils::kBuffer"]
     test_suite.layouts = [
         "utils::kWidthPacked",
         "utils::kChannelsPacked",
@@ -877,6 +879,7 @@ def get_softmax_inputs():
         "aten.neg.default",
         "aten.cos.default",
         "aten.hardswish.default",
+        "aten.hardsigmoid.default",
     ]
 )
 def get_unary_ops_inputs():
diff --git a/backends/vulkan/test/test_vulkan_delegate.py b/backends/vulkan/test/test_vulkan_delegate.py
index 778ce67787..e6ddf1cdb8 100644
--- a/backends/vulkan/test/test_vulkan_delegate.py
+++ b/backends/vulkan/test/test_vulkan_delegate.py
@@ -25,7 +25,7 @@
 ctypes.CDLL("libvulkan.so.1")
 
 
-from executorch.exir.program._program import _to_edge_transform_and_lower
+from executorch.exir import to_edge_transform_and_lower
 from executorch.extension.pybindings.portable_lib import (  # @manual
     _load_for_executorch_from_buffer,
 )
@@ -120,7 +120,7 @@ def run_test(memory_layout):
                 model, sample_inputs, dynamic_shapes=dynamic_shapes
             )
 
-            edge_program = _to_edge_transform_and_lower(
+            edge_program = to_edge_transform_and_lower(
                 program,
                 transform_passes=[
                     I64toI32(self._edge_compile_config._skip_dim_order),
@@ -204,6 +204,16 @@ def forward(self, x, y, w):
 
         self.lower_module_and_test_output(add_module, sample_inputs)
 
+        sample_inputs = (
+            torch.rand(size=(4, 5, 2, 3), dtype=torch.float32),
+            torch.rand(size=(4, 5, 2, 3), dtype=torch.float32),
+            torch.rand(
+                size=(2, 3), dtype=torch.float32
+            ),  # test broadcasting on packed dim
+        )
+
+        self.lower_module_and_test_output(add_module, sample_inputs)
+
     def test_vulkan_backend_add_int(self):
         class AddIntModule(torch.nn.Module):
             def __init__(self):
@@ -1632,3 +1642,57 @@ def forward(self, x):
             (torch.tensor([[[0, 1], [0, 1]], [[4, 2], [3, 3]]]),),
             memory_layouts=[vk_graph_schema.VkMemoryLayout.TENSOR_CHANNELS_PACKED],
         )
+
+    def test_vulkan_backend_conv_with_clamp(self):
+        class ConvWithClampModule(torch.nn.Module):
+            def __init__(self):
+                super().__init__()
+                self.weight = torch.randn(6, 8, 3, 3)
+                self.bias = torch.randn(8)
+                self.stride = (1, 2)
+                self.padding = (2, 3)
+                self.dilation = (1, 1)
+                self.transposed = True
+                self.output_padding = (0, 1)
+                self.groups = 1
+                self.output_min = 0
+                self.output_max = 10
+
+            def forward(self, x):
+                return torch.ops.et_vk.conv_with_clamp(
+                    x,
+                    self.weight,
+                    self.bias,
+                    self.stride,
+                    self.padding,
+                    self.dilation,
+                    self.transposed,
+                    self.output_padding,
+                    self.groups,
+                    self.output_min,
+                    self.output_max,
+                )
+
+        self.lower_module_and_test_output(
+            ConvWithClampModule(),
+            (torch.randn(size=(1, 6, 40, 50), dtype=torch.float32),),
+            memory_layouts=[vk_graph_schema.VkMemoryLayout.TENSOR_CHANNELS_PACKED],
+        )
+
+    def test_vulkan_backend_grid_priors(self):
+        class GridPriorsModule(torch.nn.Module):
+            def __init__(self):
+                super().__init__()
+
+            def forward(self, x):
+                return torch.ops.et_vk.grid_priors(
+                    x,
+                    stride=8,
+                    offset=0.5,
+                )
+
+        self.lower_module_and_test_output(
+            GridPriorsModule(),
+            (torch.rand(size=[1, 5, 2, 3]),),
+            memory_layouts=[vk_graph_schema.VkMemoryLayout.TENSOR_CHANNELS_PACKED],
+        )
diff --git a/backends/vulkan/test/utils/test_utils.cpp b/backends/vulkan/test/utils/test_utils.cpp
index c55c286acc..1b91e1ff4e 100644
--- a/backends/vulkan/test/utils/test_utils.cpp
+++ b/backends/vulkan/test/utils/test_utils.cpp
@@ -8,11 +8,14 @@
 
 #include <executorch/backends/vulkan/test/utils/test_utils.h>
 
-#include <executorch/runtime/core/portable_type/half.h>
+#include <executorch/runtime/core/exec_aten/exec_aten.h>
 
 #include <executorch/backends/vulkan/runtime/graph/ops/impl/utils/TensorUtils.h>
 
 #include <cassert>
+#include <random>
+
+using namespace vkcompute;
 
 //
 // Operator Recording Functions
@@ -23,15 +26,13 @@ void record_nchw_to_buffer_op(
     vkapi::VulkanBuffer& src_buffer,
     api::vTensor& v_dst) {
   vkapi::PipelineBarrier pipeline_barrier{};
-  vkapi::SpecVarList specialization_constants = {
-      SV(v_dst.packed_dim_whcn_idx())};
 
   context->submit_compute_job(
       get_nchw_to_tensor_shader(v_dst),
       pipeline_barrier,
-      {uint32_t(v_dst.texel_numel()), 1, 1},
+      {uint32_t(v_dst.numel()), 1, 1},
       {64, 1, 1},
-      specialization_constants,
+      {},
       VK_NULL_HANDLE,
       0,
       v_dst.buffer(
@@ -40,8 +41,8 @@ void record_nchw_to_buffer_op(
           vkapi::MemoryAccessType::WRITE),
       src_buffer,
       v_dst.sizes_ubo(),
-      v_dst.texel_strides_ubo(),
-      v_dst.ntexels_ubo());
+      v_dst.strides_ubo(),
+      v_dst.numel_ubo());
 }
 
 void record_buffer_to_nchw_op(
@@ -49,22 +50,19 @@ void record_buffer_to_nchw_op(
     api::vTensor& v_src,
     vkapi::VulkanBuffer& dst_buffer) {
   vkapi::PipelineBarrier pipeline_barrier{};
-  vkapi::SpecVarList specialization_constants = {
-      SV(v_src.packed_dim_whcn_idx())};
-
   context->submit_compute_job(
       get_tensor_to_nchw_shader(v_src),
       pipeline_barrier,
-      {uint32_t(v_src.texel_numel()), 1, 1},
+      {uint32_t(v_src.numel()), 1, 1},
       {64, 1, 1},
-      specialization_constants,
+      {},
       VK_NULL_HANDLE,
       0,
-      v_src.buffer(pipeline_barrier, vkapi::PipelineStage::COMPUTE),
       dst_buffer,
+      v_src.buffer(pipeline_barrier, vkapi::PipelineStage::COMPUTE),
       v_src.sizes_ubo(),
-      v_src.texel_strides_ubo(),
-      v_src.ntexels_ubo());
+      v_src.strides_ubo(),
+      v_src.numel_ubo());
 }
 
 void record_nchw_to_image_op(
@@ -76,10 +74,11 @@ void record_nchw_to_image_op(
       SV(v_dst.packed_dim_whcn_idx())};
 
   context->submit_compute_job(
-      get_nchw_to_tensor_shader(v_dst),
+      get_nchw_to_tensor_shader(
+          v_dst, context->adapter_ptr()->has_full_int8_buffers_support()),
       pipeline_barrier,
-      v_dst.image_extents(),
-      adaptive_work_group_size(v_dst.image_extents()),
+      v_dst.logical_limits(),
+      adaptive_work_group_size(v_dst.logical_limits()),
       specialization_constants,
       VK_NULL_HANDLE,
       0,
@@ -88,7 +87,8 @@ void record_nchw_to_image_op(
           vkapi::PipelineStage::COMPUTE,
           vkapi::MemoryAccessType::WRITE),
       src_buffer,
-      v_dst.sizes_ubo());
+      v_dst.sizes_ubo(),
+      v_dst.axis_map_ubo());
 }
 
 void record_image_to_nchw_op(
@@ -102,14 +102,37 @@ void record_image_to_nchw_op(
   context->submit_compute_job(
       get_tensor_to_nchw_shader(v_src),
       pipeline_barrier,
-      v_src.image_extents(),
-      adaptive_work_group_size(v_src.image_extents()),
+      v_src.logical_limits(),
+      adaptive_work_group_size(v_src.logical_limits()),
       specialization_constants,
       VK_NULL_HANDLE,
       0,
-      v_src.image(pipeline_barrier, vkapi::PipelineStage::COMPUTE),
       dst_buffer,
-      v_src.sizes_ubo());
+      v_src.image(pipeline_barrier, vkapi::PipelineStage::COMPUTE),
+      v_src.sizes_ubo(),
+      v_src.axis_map_ubo());
+}
+
+void record_int8_image_to_nchw_noint8_op(
+    api::Context* const context,
+    api::vTensor& v_src,
+    api::StagingBuffer& dst_buffer) {
+  vkapi::PipelineBarrier pipeline_barrier{};
+  uint32_t buffer_len = utils::safe_downcast<uint32_t>(dst_buffer.numel() / 4);
+  utils::uvec3 global_wg_size = {buffer_len, 1, 1};
+  context->submit_compute_job(
+      VK_KERNEL(int8_image_to_nchw_noint8),
+      pipeline_barrier,
+      global_wg_size,
+      adaptive_work_group_size(global_wg_size),
+      {v_src.packed_dim_whcn_idx()},
+      VK_NULL_HANDLE,
+      0,
+      dst_buffer.buffer(),
+      v_src.image(pipeline_barrier, vkapi::PipelineStage::COMPUTE),
+      v_src.sizes_ubo(),
+      v_src.axis_map_ubo(),
+      v_src.numel_ubo());
 }
 
 void record_conv2d_prepack_weights_op(
@@ -137,8 +160,8 @@ void record_conv2d_prepack_weights_op(
   context->submit_compute_job(
       shader,
       pipeline_barrier,
-      v_dst.image_extents(),
-      adaptive_work_group_size(v_dst.image_extents()),
+      v_dst.logical_limits(),
+      adaptive_work_group_size(v_dst.logical_limits()),
       specialization_constants,
       VK_NULL_HANDLE,
       0,
@@ -165,8 +188,8 @@ void record_binary_op(
   context->submit_compute_job(
       VK_KERNEL_FROM_STR(kernel_name),
       pipeline_barrier,
-      v_dst.image_extents(),
-      adaptive_work_group_size(v_dst.image_extents()),
+      v_dst.logical_limits(),
+      adaptive_work_group_size(v_dst.logical_limits()),
       specialization_constants,
       VK_NULL_HANDLE,
       0,
@@ -229,7 +252,7 @@ void record_index_fill_buffer(api::Context* context, api::vTensor& v_ten) {
     api::context()->submit_compute_job(
         VK_KERNEL_FROM_STR(kernel_name),
         pipeline_barrier,
-        {uint32_t(v_ten.texel_numel()), 1, 1},
+        {uint32_t(v_ten.numel()), 1, 1},
         {64, 1, 1},
         specialization_constants,
         VK_NULL_HANDLE,
@@ -253,7 +276,7 @@ void record_scalar_add_buffer(
   api::context()->submit_compute_job(
       VK_KERNEL_FROM_STR(kernel),
       pipeline_barrier,
-      {uint32_t(v_ten.texel_numel()), 1, 1},
+      {uint32_t(v_ten.numel()), 1, 1},
       {64, 1, 1},
       specialization_constants,
       VK_NULL_HANDLE,
@@ -262,7 +285,73 @@ void record_scalar_add_buffer(
           pipeline_barrier,
           vkapi::PipelineStage::COMPUTE,
           vkapi::MemoryAccessType::READ | vkapi::MemoryAccessType::WRITE),
-      v_ten.ntexels_ubo());
+      v_ten.numel_ubo());
+}
+
+void record_reference_matmul(
+    api::Context* context,
+    api::vTensor& out,
+    api::vTensor& mat1,
+    api::vTensor& mat2) {
+  vkapi::PipelineBarrier pipeline_barrier{};
+  api::context()->submit_compute_job(
+      VK_KERNEL(reference_matmul),
+      pipeline_barrier,
+      {uint32_t(out.size(1)), uint32_t(out.size(0)), 1},
+      {64, 1, 1},
+      {},
+      VK_NULL_HANDLE,
+      0,
+      out.buffer(
+          pipeline_barrier,
+          vkapi::PipelineStage::COMPUTE,
+          vkapi::MemoryAccessType::WRITE),
+      mat1.buffer(pipeline_barrier, vkapi::PipelineStage::COMPUTE),
+      mat2.buffer(pipeline_barrier, vkapi::PipelineStage::COMPUTE),
+      out.sizes_ubo(),
+      out.strides_ubo(),
+      mat1.sizes_ubo(),
+      mat1.strides_ubo(),
+      mat2.sizes_ubo(),
+      mat2.strides_ubo());
+}
+
+void record_matmul_texture3d(
+    api::Context* context,
+    api::vTensor& out,
+    api::vTensor& mat1,
+    api::vTensor& mat2) {
+  std::string kernel_name = "matmul_naive";
+  kernel_name.reserve(kShaderNameReserve);
+  add_storage_type_suffix(kernel_name, out.storage_type());
+  add_dtype_suffix(kernel_name, out.dtype());
+
+  utils::uvec3 global_wg_size = out.logical_limits();
+
+  vkapi::PipelineBarrier pipeline_barrier{};
+  api::context()->submit_compute_job(
+      VK_KERNEL_FROM_STR(kernel_name),
+      pipeline_barrier,
+      global_wg_size,
+      {8, 8, 1},
+      {out.packed_dim_whcn_idx(),
+       mat1.packed_dim_whcn_idx(),
+       mat2.packed_dim_whcn_idx()},
+      VK_NULL_HANDLE,
+      0,
+      out.image(
+          pipeline_barrier,
+          vkapi::PipelineStage::COMPUTE,
+          vkapi::MemoryAccessType::WRITE),
+      mat1.image(pipeline_barrier, vkapi::PipelineStage::COMPUTE),
+      mat2.image(pipeline_barrier, vkapi::PipelineStage::COMPUTE),
+      out.sizes_ubo(),
+      out.logical_limits_ubo(),
+      out.axis_map_ubo(),
+      mat1.sizes_ubo(),
+      mat1.axis_map_ubo(),
+      mat2.sizes_ubo(),
+      mat2.axis_map_ubo());
 }
 
 //
@@ -273,22 +362,22 @@ void record_scalar_add_buffer(
   _(uint8_t, Byte)                \
   _(int8_t, Char)                 \
   _(int32_t, Int)                 \
-  _(torch::executor::Half, Half)  \
+  _(exec_aten::Half, Half)        \
   _(float, Float)                 \
   _(int8_t, QInt8)
 
 void fill_vtensor(api::vTensor& vten, std::vector<float>& data) {
-  api::StorageBuffer staging_buffer(api::context(), vten.dtype(), data.size());
-
-#define CASE(ctype, name)                                          \
-  case vkapi::ScalarType::name: {                                  \
-    std::vector<ctype> data_converted;                             \
-    data_converted.resize(data.size());                            \
-    for (int i = 0; i < data.size(); ++i) {                        \
-      data_converted[i] = ctype(data[i]);                          \
-    }                                                              \
-    copy_ptr_to_staging(                                           \
-        data_converted.data(), staging_buffer, vten.gpu_nbytes()); \
+  api::StagingBuffer staging_buffer(api::context(), vten.dtype(), data.size());
+
+#define CASE(ctype, name)                                     \
+  case vkapi::ScalarType::name: {                             \
+    std::vector<ctype> data_converted;                        \
+    data_converted.resize(data.size());                       \
+    for (int i = 0; i < data.size(); ++i) {                   \
+      data_converted[i] = ctype(data[i]);                     \
+    }                                                         \
+    staging_buffer.copy_from(                                 \
+        data_converted.data(), vten.staging_buffer_nbytes()); \
   } break;
 
   switch (vten.dtype()) {
@@ -307,7 +396,7 @@ void fill_vtensor(api::vTensor& vten, std::vector<float>& data) {
 }
 
 void fill_vtensor(api::vTensor& vten, float val, bool iota) {
-  std::vector<float> vten_data(vten.gpu_numel());
+  std::vector<float> vten_data(vten.staging_buffer_numel());
   if (iota) {
     std::iota(vten_data.begin(), vten_data.end(), val);
   } else {
@@ -317,12 +406,44 @@ void fill_vtensor(api::vTensor& vten, float val, bool iota) {
   fill_vtensor(vten, vten_data);
 }
 
+std::vector<float> create_random_float_buffer(
+    const size_t numel,
+    const float min,
+    const float max) {
+  std::vector<float> data(numel);
+  std::default_random_engine rng;
+  std::uniform_real_distribution<float> dist(min, max);
+
+  for (size_t i = 0; i < data.size(); ++i) {
+    data[i] = dist(rng);
+  }
+  return data;
+}
+
+std::vector<uint8_t> create_random_uint8_buffer(
+    const size_t numel,
+    const uint8_t min,
+    const uint8_t max) {
+  std::vector<uint8_t> data(numel);
+  std::default_random_engine rng;
+  std::uniform_real_distribution<float> dist(min, max);
+
+  for (size_t i = 0; i < data.size(); ++i) {
+    data[i] = (uint8_t)dist(rng);
+  }
+  return data;
+}
+
 void fill_vtensor(
     ComputeGraph& graph,
     const IOValueRef idx,
     float val,
     bool iota) {
-  std::vector<float> data(graph.get_tensor(idx.value)->gpu_numel());
+  vTensorPtr t = graph.get_tensor(idx.value);
+  std::vector<float> data(t->numel());
+  if (t->storage_type() != utils::kBuffer) {
+    data.resize(t->staging_buffer_numel());
+  }
   if (iota) {
     std::iota(data.begin(), data.end(), val);
   } else {
@@ -333,8 +454,8 @@ void fill_vtensor(
 }
 
 void extract_vtensor(api::vTensor& vten, std::vector<float>& data) {
-  api::StorageBuffer staging_buffer(
-      api::context(), vten.dtype(), vten.gpu_numel());
+  api::StagingBuffer staging_buffer(
+      api::context(), vten.dtype(), vten.staging_buffer_numel());
 
   if (vten.storage_type() == utils::StorageType::BUFFER) {
     record_buffer_to_nchw_op(api::context(), vten, staging_buffer.buffer());
@@ -346,14 +467,14 @@ void extract_vtensor(api::vTensor& vten, std::vector<float>& data) {
   api::context()->submit_cmd_to_gpu(fence.get_submit_handle());
   fence.wait();
 
-#define CASE(ctype, name)                                          \
-  case vkapi::ScalarType::name: {                                  \
-    std::vector<ctype> data_converted(data.size());                \
-    copy_staging_to_ptr(                                           \
-        staging_buffer, data_converted.data(), vten.gpu_nbytes()); \
-    for (int i = 0; i < data.size(); ++i) {                        \
-      data[i] = float(data_converted[i]);                          \
-    }                                                              \
+#define CASE(ctype, name)                                     \
+  case vkapi::ScalarType::name: {                             \
+    std::vector<ctype> data_converted(data.size());           \
+    staging_buffer.copy_to(                                   \
+        data_converted.data(), vten.staging_buffer_nbytes()); \
+    for (int i = 0; i < data.size(); ++i) {                   \
+      data[i] = float(data_converted[i]);                     \
+    }                                                         \
   } break;
 
   switch (vten.dtype()) {
@@ -376,8 +497,10 @@ void submit_to_gpu() {
 }
 
 vkapi::Allocation allocate_memory_for(const api::vTensor& vten) {
+  VmaAllocationCreateInfo alloc_create_info =
+      api::context()->adapter_ptr()->vma().gpuonly_resource_create_info();
   return api::context()->adapter_ptr()->vma().create_allocation(
-      vten.get_memory_requirements(), vten.get_allocation_create_info());
+      vten.get_memory_requirements(), alloc_create_info);
 }
 
 VmaTotalStatistics get_vma_stats() {
@@ -409,7 +532,7 @@ void execute_graph_and_check_output(
     IOValueRef out_ioval = graph.outputs().at(i);
     vTensorPtr t_out = graph.get_tensor(out_ioval.value);
 
-    std::vector<float> output_data(t_out->gpu_numel());
+    std::vector<float> output_data(t_out->staging_buffer_numel());
     graph.copy_from_staging(
         out_ioval.staging, output_data.data(), output_data.size());
 
@@ -418,3 +541,9 @@ void execute_graph_and_check_output(
     }
   }
 }
+
+bool check_close(float a, float b, float atol, float rtol) {
+  float max = std::max(std::abs(a), std::abs(b));
+  float diff = std::abs(a - b);
+  return diff <= (atol + rtol * max);
+}
diff --git a/backends/vulkan/test/utils/test_utils.h b/backends/vulkan/test/utils/test_utils.h
index 89e16131c9..d9d83a9620 100644
--- a/backends/vulkan/test/utils/test_utils.h
+++ b/backends/vulkan/test/utils/test_utils.h
@@ -16,11 +16,9 @@
 #include <executorch/backends/vulkan/runtime/graph/ops/utils/ShaderNameUtils.h>
 #include <executorch/backends/vulkan/runtime/graph/ops/utils/StagingUtils.h>
 
-using namespace vkcompute;
-
 #define CREATE_FLOAT_TEXTURE(sizes, allocate_memory)  \
-  api::vTensor(                                       \
-      api::context(),                                 \
+  vkcompute::api::vTensor(                            \
+      vkcompute::api::context(),                      \
       sizes,                                          \
       vkapi::kFloat,                                  \
       utils::StorageType::TEXTURE_3D,                 \
@@ -28,8 +26,8 @@ using namespace vkcompute;
       allocate_memory);
 
 #define CREATE_FLOAT_BUFFER(sizes, allocate_memory) \
-  api::vTensor(                                     \
-      api::context(),                               \
+  vkcompute::api::vTensor(                          \
+      vkcompute::api::context(),                    \
       sizes,                                        \
       vkapi::kFloat,                                \
       utils::StorageType::BUFFER,                   \
@@ -37,16 +35,20 @@ using namespace vkcompute;
       allocate_memory);
 
 #define DEFINE_STAGING_BUFFER_AND_RECORD_TO_GPU_FOR(tensor) \
-  api::StorageBuffer staging_buffer_##tensor(               \
-      api::context(), vkapi::kFloat, tensor.gpu_numel());   \
+  vkcompute::api::StagingBuffer staging_buffer_##tensor(    \
+      vkcompute::api::context(),                            \
+      vkapi::kFloat,                                        \
+      tensor.staging_buffer_numel());                       \
   record_nchw_to_image_op(                                  \
-      api::context(), staging_buffer_##tensor.buffer(), tensor);
+      vkcompute::api::context(), staging_buffer_##tensor.buffer(), tensor);
 
 #define DEFINE_STAGING_BUFFER_AND_RECORD_FROM_GPU_FOR(tensor) \
-  api::StorageBuffer staging_buffer_##tensor(                 \
-      api::context(), vkapi::kFloat, tensor.gpu_numel());     \
+  vkcompute::api::StagingBuffer staging_buffer_##tensor(      \
+      vkcompute::api::context(),                              \
+      vkapi::kFloat,                                          \
+      tensor.staging_buffer_numel());                         \
   record_image_to_nchw_op(                                    \
-      api::context(), tensor, staging_buffer_##tensor.buffer());
+      vkcompute::api::context(), tensor, staging_buffer_##tensor.buffer());
 
 #define CHECK_VALUE(data, idx, expected)                          \
   do {                                                            \
@@ -63,92 +65,125 @@ using namespace vkcompute;
 //
 
 void record_nchw_to_buffer_op(
-    api::Context* const context,
-    vkapi::VulkanBuffer& src_buffer,
-    api::vTensor& v_dst);
+    vkcompute::api::Context* const context,
+    vkcompute::vkapi::VulkanBuffer& src_buffer,
+    vkcompute::api::vTensor& v_dst);
 
 void record_buffer_to_nchw_op(
-    api::Context* const context,
-    api::vTensor& v_src,
-    vkapi::VulkanBuffer& dst_buffer);
+    vkcompute::api::Context* const context,
+    vkcompute::api::vTensor& v_src,
+    vkcompute::vkapi::VulkanBuffer& dst_buffer);
 
 void record_nchw_to_image_op(
-    api::Context* const context,
-    vkapi::VulkanBuffer& src_buffer,
-    api::vTensor& v_dst);
+    vkcompute::api::Context* const context,
+    vkcompute::vkapi::VulkanBuffer& src_buffer,
+    vkcompute::api::vTensor& v_dst);
 
 void record_image_to_nchw_op(
-    api::Context* const context,
-    api::vTensor& v_src,
-    vkapi::VulkanBuffer& dst_buffer);
+    vkcompute::api::Context* const context,
+    vkcompute::api::vTensor& v_src,
+    vkcompute::vkapi::VulkanBuffer& dst_buffer);
+
+void record_int8_image_to_nchw_noint8_op(
+    vkcompute::api::Context* const context,
+    vkcompute::api::vTensor& v_src,
+    vkcompute::api::StagingBuffer& dst_buffer);
 
 void record_conv2d_prepack_weights_op(
-    api::Context* const context,
-    vkapi::VulkanBuffer& src_buffer,
-    api::vTensor& v_dst,
+    vkcompute::api::Context* const context,
+    vkcompute::vkapi::VulkanBuffer& src_buffer,
+    vkcompute::api::vTensor& v_dst,
     const std::vector<int64_t>& original_sizes,
     const bool transposed);
 
 void record_binary_op(
-    api::Context* const context,
+    vkcompute::api::Context* const context,
     const std::string& op_name,
-    api::vTensor& v_in1,
-    api::vTensor& v_in2,
-    api::vTensor& v_dst);
+    vkcompute::api::vTensor& v_in1,
+    vkcompute::api::vTensor& v_in2,
+    vkcompute::api::vTensor& v_dst);
 
 void execute_and_check_add(
-    api::vTensor& a,
-    api::vTensor& b,
-    api::vTensor& c,
+    vkcompute::api::vTensor& a,
+    vkcompute::api::vTensor& b,
+    vkcompute::api::vTensor& c,
     float a_val,
     float b_val);
 
-void record_index_fill_buffer(api::Context* const context, api::vTensor& v_ten);
+void record_index_fill_buffer(
+    vkcompute::api::Context* const context,
+    vkcompute::api::vTensor& v_ten);
 
 void record_scalar_add_buffer(
-    api::Context* context,
-    api::vTensor& v_ten,
+    vkcompute::api::Context* context,
+    vkcompute::api::vTensor& v_ten,
     float offset);
 
+void record_reference_matmul(
+    vkcompute::api::Context* context,
+    vkcompute::api::vTensor& out,
+    vkcompute::api::vTensor& mat1,
+    vkcompute::api::vTensor& mat2);
+
+void record_matmul_texture3d(
+    vkcompute::api::Context* context,
+    vkcompute::api::vTensor& out,
+    vkcompute::api::vTensor& mat1,
+    vkcompute::api::vTensor& mat2);
+
 //
 // Input & Output Utilities
 //
 
-inline void
-fill_staging(api::StorageBuffer& staging, float val, int numel = -1) {
+inline void fill_staging(
+    vkcompute::api::StagingBuffer& staging,
+    float val,
+    int numel = -1) {
   if (numel < 0) {
     numel = staging.numel();
   }
   std::vector<float> data(numel);
   std::fill(data.begin(), data.end(), val);
-  copy_ptr_to_staging(data.data(), staging, sizeof(float) * numel);
+  staging.copy_from(data.data(), sizeof(float) * numel);
 }
 
-void fill_vtensor(api::vTensor& vten, std::vector<float>& data);
+void fill_vtensor(vkcompute::api::vTensor& vten, std::vector<float>& data);
+
+void fill_vtensor(vkcompute::api::vTensor& vten, float val, bool iota = false);
 
-void fill_vtensor(api::vTensor& vten, float val, bool iota = false);
+std::vector<float> create_random_float_buffer(
+    const size_t numel,
+    const float min = 0,
+    const float max = 1);
+
+std::vector<uint8_t> create_random_uint8_buffer(
+    const size_t numel,
+    const uint8_t min = 0,
+    const uint8_t max = 255);
 
 void fill_vtensor(
-    ComputeGraph& graph,
-    const IOValueRef idx,
+    vkcompute::ComputeGraph& graph,
+    const vkcompute::IOValueRef idx,
     float val,
     bool iota = false);
 
-void extract_vtensor(api::vTensor& vten, std::vector<float>& data);
+void extract_vtensor(vkcompute::api::vTensor& vten, std::vector<float>& data);
 
-inline std::vector<float> extract_vtensor(api::vTensor& vten) {
-  std::vector<float> data_out(vten.gpu_numel());
+inline std::vector<float> extract_vtensor(vkcompute::api::vTensor& vten) {
+  std::vector<float> data_out(vten.staging_buffer_numel());
   extract_vtensor(vten, data_out);
   return data_out;
 }
 
-inline void
-check_staging_buffer(api::StorageBuffer& staging, float val, int numel = -1) {
+inline void check_staging_buffer(
+    vkcompute::api::StagingBuffer& staging,
+    float val,
+    int numel = -1) {
   if (numel < 0) {
     numel = staging.numel();
   }
   std::vector<float> data(numel);
-  copy_staging_to_ptr(staging, data.data(), sizeof(float) * numel);
+  staging.copy_to(data.data(), sizeof(float) * numel);
 
   for (size_t i = 0; i < data.size(); ++i) {
     CHECK_VALUE(data, i, val);
@@ -156,21 +191,21 @@ check_staging_buffer(api::StorageBuffer& staging, float val, int numel = -1) {
 }
 
 inline int64_t get_buf_idx(
-    ComputeGraph& graph,
-    IOValueRef ref,
+    vkcompute::ComputeGraph& graph,
+    vkcompute::IOValueRef ref,
     const std::vector<int64_t>& tensor_coor) {
-  vTensorPtr vten_ptr = graph.get_tensor(ref.value);
+  vkcompute::vTensorPtr vten_ptr = graph.get_tensor(ref.value);
 
   const std::vector<int64_t>& sizes = vten_ptr->sizes();
 
-  int64_t c = dim_at<kChannel4D>(sizes);
-  int64_t h = dim_at<kHeight4D>(sizes);
-  int64_t w = dim_at<kWidth4D>(sizes);
+  int64_t c = vkcompute::dim_at<vkcompute::kChannel4D>(sizes);
+  int64_t h = vkcompute::dim_at<vkcompute::kHeight4D>(sizes);
+  int64_t w = vkcompute::dim_at<vkcompute::kWidth4D>(sizes);
 
-  int64_t ni = dim_at<kBatch4D>(tensor_coor);
-  int64_t ci = dim_at<kChannel4D>(tensor_coor);
-  int64_t hi = dim_at<kHeight4D>(tensor_coor);
-  int64_t wi = dim_at<kWidth4D>(tensor_coor);
+  int64_t ni = vkcompute::dim_at<vkcompute::kBatch4D>(tensor_coor);
+  int64_t ci = vkcompute::dim_at<vkcompute::kChannel4D>(tensor_coor);
+  int64_t hi = vkcompute::dim_at<vkcompute::kHeight4D>(tensor_coor);
+  int64_t wi = vkcompute::dim_at<vkcompute::kWidth4D>(tensor_coor);
 
   return (ni * c * h * w + ci * h * w + hi * w + wi);
 }
@@ -181,7 +216,8 @@ inline int64_t get_buf_idx(
 
 void submit_to_gpu();
 
-vkapi::Allocation allocate_memory_for(const api::vTensor& vten);
+vkcompute::vkapi::Allocation allocate_memory_for(
+    const vkcompute::api::vTensor& vten);
 
 VmaTotalStatistics get_vma_stats();
 
@@ -192,7 +228,7 @@ size_t get_vma_allocation_count();
 //
 
 void execute_graph_and_check_output(
-    ComputeGraph& graph,
+    vkcompute::ComputeGraph& graph,
     std::vector<float> input_vals,
     std::vector<float> expected_outputs);
 
@@ -226,3 +262,9 @@ void print_vector(
   }
   std::cout << std::endl;
 }
+
+//
+// Misc. Utilities
+//
+
+bool check_close(float a, float b, float atol = 1e-4, float rtol = 1e-5);
diff --git a/backends/vulkan/test/vulkan_compute_api_test.cpp b/backends/vulkan/test/vulkan_compute_api_test.cpp
index 9260475ab6..32177c9c3d 100644
--- a/backends/vulkan/test/vulkan_compute_api_test.cpp
+++ b/backends/vulkan/test/vulkan_compute_api_test.cpp
@@ -11,7 +11,7 @@
 #include <utility>
 #include <vector>
 
-#include <executorch/runtime/core/portable_type/half.h>
+#include <executorch/runtime/core/exec_aten/exec_aten.h>
 
 #include <executorch/backends/vulkan/runtime/api/api.h>
 
@@ -21,10 +21,42 @@
 
 #include <executorch/backends/vulkan/runtime/graph/ops/impl/utils/TensorUtils.h>
 
+#include <executorch/backends/vulkan/runtime/graph/ops/impl/utils/QPackUtils.h>
+
 #include <executorch/backends/vulkan/test/utils/test_utils.h>
 
+using namespace vkcompute;
 using namespace vkcompute::api;
 
+std::vector<float>
+transpose_matrix(std::vector<float>& mat, const int H, const int W) {
+  std::vector<float> out(W * H);
+  for (int out_y = 0; out_y < H; ++out_y) {
+    for (int out_x = 0; out_x < W; ++out_x) {
+      out[out_x * H + out_y] = mat[out_y * W + out_x];
+    }
+  }
+  return out;
+}
+
+std::vector<float> compute_reference_matmul(
+    std::vector<float>& mat1,
+    std::vector<float>& mat2,
+    const int M,
+    const int K,
+    const int N) {
+  std::vector<float> out(M * N);
+  for (int out_y = 0; out_y < M; ++out_y) {
+    for (int out_x = 0; out_x < N; ++out_x) {
+      out[out_y * N + out_x] = 0;
+      for (int k = 0; k < K; ++k) {
+        out[out_y * N + out_x] += mat1[out_y * K + k] * mat2[k * N + out_x];
+      }
+    }
+  }
+  return out;
+}
+
 std::vector<std::vector<int64_t>> standard_sizes_to_test = {
     // 2D
     {7, 11},
@@ -69,22 +101,27 @@ TEST_F(VulkanComputeAPITest, print_adapter) {
 std::vector<int64_t> get_reference_strides(
     const std::vector<int64_t>& sizes,
     const utils::GPUMemoryLayout layout,
-    const bool texel_strides) {
+    const bool unsqueezed = false) {
   int64_t C = utils::val_at(-3, sizes);
   int64_t H = utils::val_at(-2, sizes);
   int64_t W = utils::val_at(-1, sizes);
 
+  int64_t numel = utils::multiply_integers(sizes);
+
   switch (layout) {
     case utils::kWidthPacked:
-      if (texel_strides) {
-        W = utils::div_up(W, INT64_C(4));
-      }
       switch (sizes.size()) {
         case 1:
+          if (unsqueezed)
+            return {numel, numel, numel, 1};
           return {1};
         case 2:
+          if (unsqueezed)
+            return {numel, numel, W, 1};
           return {W, 1};
         case 3:
+          if (unsqueezed)
+            return {numel, H * W, W, 1};
           return {H * W, W, 1};
         case 4:
           return {C * H * W, H * W, W, 1};
@@ -93,15 +130,18 @@ std::vector<int64_t> get_reference_strides(
       }
       break;
     case utils::kHeightPacked:
-      if (texel_strides) {
-        H = utils::div_up(H, INT64_C(4));
-      }
       switch (sizes.size()) {
         case 1:
+          if (unsqueezed)
+            return {numel, numel, numel, 1};
           return {1};
         case 2:
+          if (unsqueezed)
+            return {numel, numel, 1, H};
           return {1, H};
         case 3:
+          if (unsqueezed)
+            return {numel, H * W, 1, H};
           return {W * H, 1, H};
         case 4:
           return {C * W * H, W * H, 1, H};
@@ -109,15 +149,18 @@ std::vector<int64_t> get_reference_strides(
           return {};
       }
     case utils::kChannelsPacked:
-      if (texel_strides) {
-        C = utils::div_up(C, INT64_C(4));
-      }
       switch (sizes.size()) {
         case 1:
+          if (unsqueezed)
+            return {numel, numel, numel, 1};
           return {1};
         case 2:
+          if (unsqueezed)
+            return {numel, numel, W, 1};
           return {W, 1};
         case 3:
+          if (unsqueezed)
+            return {numel, 1, W * C, C};
           return {1, W * C, C};
         case 4:
           return {H * W * C, 1, W * C, C};
@@ -128,33 +171,202 @@ std::vector<int64_t> get_reference_strides(
   return {};
 }
 
+TEST_F(VulkanComputeAPITest, empty_init_shader_info_test) {
+  vkapi::ShaderInfo empty_shader_info;
+  EXPECT_FALSE(empty_shader_info);
+  EXPECT_TRUE(empty_shader_info.src_code.bin == nullptr);
+  EXPECT_TRUE(empty_shader_info.src_code.size == 0u);
+}
+
+TEST_F(VulkanComputeAPITest, calculate_dim_order_test) {
+  // ndim, GPUMemoryLayout, expected dim order pairs
+  std::vector<std::tuple<size_t, utils::GPUMemoryLayout, std::vector<int64_t>>>
+      test_cases = {
+          {1, utils::kWidthPacked, {0}},
+          {1, utils::kHeightPacked, {0}},
+          {1, utils::kChannelsPacked, {0}},
+          {2, utils::kWidthPacked, {0, 1}},
+          {2, utils::kHeightPacked, {1, 0}},
+          {2, utils::kChannelsPacked, {0, 1}},
+          {3, utils::kWidthPacked, {0, 1, 2}},
+          {3, utils::kHeightPacked, {0, 2, 1}},
+          {3, utils::kChannelsPacked, {1, 2, 0}},
+          {4, utils::kWidthPacked, {0, 1, 2, 3}},
+          {4, utils::kHeightPacked, {0, 1, 3, 2}},
+          {4, utils::kChannelsPacked, {0, 2, 3, 1}},
+      };
+
+  for (const auto& test_case : test_cases) {
+    const size_t& ndim = std::get<0>(test_case);
+    const utils::GPUMemoryLayout& layout = std::get<1>(test_case);
+    const auto& expected_dim_order = std::get<2>(test_case);
+    std::vector<int64_t> dim_order = calculate_dim_order(ndim, layout);
+
+    ASSERT_TRUE(dim_order == expected_dim_order);
+  }
+}
+
 TEST_F(VulkanComputeAPITest, calculate_tensor_strides_test) {
+  vTensor v_tensor_to_resize(
+      context(),
+      {25, 25, 25, 25},
+      vkapi::kFloat,
+      utils::kBuffer,
+      utils::kWidthPacked,
+      /*allocate_memory = */ false);
+
   for (const auto& sizes : standard_sizes_to_test) {
     if (sizes.size() < 3) {
       continue;
     }
     for (const auto& layout :
          {utils::kWidthPacked, utils::kHeightPacked, utils::kChannelsPacked}) {
-      // texel_strides = true
       {
-        std::vector<int64_t> strides = calculate_strides(sizes, layout);
-        std::vector<int64_t> ref_strides =
+        std::vector<int64_t> dim_order =
+            calculate_dim_order(sizes.size(), layout);
+        std::vector<int64_t> strides = calculate_strides(sizes, dim_order);
+        std::vector<int64_t> ref_strides = get_reference_strides(sizes, layout);
+        ASSERT_TRUE(strides == ref_strides);
+
+        int64_t numel = utils::multiply_integers(sizes);
+        std::vector<int64_t> unsqueezed_strides =
+            unsqueeze_strides(strides, numel);
+        std::vector<int64_t> ref_unsqueezed_strides =
             get_reference_strides(sizes, layout, true);
 
-        ASSERT_TRUE(strides == ref_strides);
+        ASSERT_TRUE(unsqueezed_strides == ref_unsqueezed_strides);
+
+        // Create new vTensor and check that the strides are correct
+        vTensor new_v_tensor(
+            context(),
+            sizes,
+            vkapi::kFloat,
+            utils::kBuffer,
+            layout,
+            /*allocate_memory = */ false);
+
+        ASSERT_TRUE(new_v_tensor.strides() == ref_strides);
+        ASSERT_TRUE(
+            new_v_tensor.unsqueezed_strides() == ref_unsqueezed_strides);
+
+        // Resize vtensor and check that updated metadata is correct
+        v_tensor_to_resize.virtual_reconfigure(sizes, dim_order);
+        ASSERT_TRUE(v_tensor_to_resize.strides() == ref_strides);
+        ASSERT_TRUE(
+            v_tensor_to_resize.unsqueezed_strides() == ref_unsqueezed_strides);
       }
+    }
+  }
+}
 
-      // texel_strides = false
-      {
-        std::vector<int64_t> strides = calculate_strides(sizes, layout, false);
-        std::vector<int64_t> ref_strides =
-            get_reference_strides(sizes, layout, false);
-        ASSERT_TRUE(strides == ref_strides);
-      }
+TEST_F(VulkanComputeAPITest, virtual_transpose_test) {
+  std::vector<int64_t> sizes = {7, 9, 11, 13};
+  // (dim0, dim1), new_sizes, new_dim_order, new_axis_map, new_packed_dim_idx
+  std::vector<std::vector<std::vector<int64_t>>> test_cases = {
+      {{2, 3}, {7, 9, 13, 11}, {0, 1, 3, 2}, {1, 0, 2, 2}, {1}},
+      {{2, 1}, {7, 11, 9, 13}, {0, 2, 1, 3}, {0, 2, 1, 2}, {0}},
+      {{1, 3}, {7, 13, 11, 9}, {0, 3, 2, 1}, {2, 1, 0, 2}, {2}},
+  };
+
+  for (const auto& test_case : test_cases) {
+    const int dim0 = test_case.at(0).at(0);
+    const int dim1 = test_case.at(0).at(1);
+
+    const auto& expected_sizes = test_case.at(1);
+    const auto& expected_dim_order = test_case.at(2);
+    const auto& expected_axis_map = test_case.at(3);
+    const int expected_packed_dim = test_case.at(4).at(0);
+
+    {
+      vTensor a_buffer = vTensor(
+          context(), sizes, vkapi::kFloat, utils::kBuffer, utils::kWidthPacked);
+
+      a_buffer.virtual_transpose(dim0, dim1);
+      EXPECT_TRUE(a_buffer.sizes() == expected_sizes);
+      EXPECT_TRUE(a_buffer.dim_order() == expected_dim_order);
+    }
+
+    {
+      vTensor a_texture = vTensor(
+          context(),
+          sizes,
+          vkapi::kFloat,
+          utils::kTexture3D,
+          utils::kWidthPacked);
+      a_texture.virtual_transpose(dim0, dim1);
+      EXPECT_TRUE(a_texture.sizes() == expected_sizes);
+      EXPECT_TRUE(a_texture.axis_map() == expected_axis_map);
+      EXPECT_TRUE(a_texture.packed_dim_whcn_idx() == expected_packed_dim);
     }
   }
 }
 
+utils::ivec3 make_temp_ivec3(int x, int y, int z) {
+  return utils::ivec3{x, y, z};
+}
+
+TEST_F(VulkanComputeAPITest, vec_test) {
+  {
+    utils::vec3 v3({1, 2, 3});
+    ASSERT_TRUE(v3[0] == 1);
+    ASSERT_TRUE(v3[1] == 2);
+    ASSERT_TRUE(v3[2] == 3);
+    v3 = {4, 5, 6};
+    ASSERT_TRUE(v3[0] == 4);
+    ASSERT_TRUE(v3[1] == 5);
+    ASSERT_TRUE(v3[2] == 6);
+  }
+
+  {
+    utils::uvec4 uv4({4, 3, 2, 1});
+    ASSERT_TRUE(uv4[0] == 4);
+    ASSERT_TRUE(uv4[1] == 3);
+    ASSERT_TRUE(uv4[2] == 2);
+    ASSERT_TRUE(uv4[3] == 1);
+    uv4 = {11, 13, 12, 88};
+    ASSERT_TRUE(uv4[0] == 11);
+    ASSERT_TRUE(uv4[1] == 13);
+    ASSERT_TRUE(uv4[2] == 12);
+    ASSERT_TRUE(uv4[3] == 88);
+  }
+
+  // Test copy from same type
+  {
+    utils::ivec3 v{5, 6, 8};
+    utils::ivec3 v2 = v;
+
+    ASSERT_TRUE(v2[0] == 5);
+    ASSERT_TRUE(v2[1] == 6);
+    ASSERT_TRUE(v2[2] == 8);
+  }
+
+  // Test copy from different type
+  {
+    utils::uvec3 v{5, 6, 8};
+    utils::ivec3 v2 = v;
+
+    ASSERT_TRUE(v2[0] == 5);
+    ASSERT_TRUE(v2[1] == 6);
+    ASSERT_TRUE(v2[2] == 8);
+  }
+
+  // Test construction from temporary vec
+  {
+    utils::uvec3 v{make_temp_ivec3(4, 5, 10)};
+    ASSERT_TRUE(v[0] == 4);
+    ASSERT_TRUE(v[1] == 5);
+    ASSERT_TRUE(v[2] == 10);
+  }
+
+  // Test initalization from temporary vec
+  {
+    utils::uvec3 v = make_temp_ivec3(4, 5, 10);
+    ASSERT_TRUE(v[0] == 4);
+    ASSERT_TRUE(v[1] == 5);
+    ASSERT_TRUE(v[2] == 10);
+  }
+}
+
 TEST_F(VulkanComputeAPITest, retrieve_custom_shader_test) {
   // Try to get shader from custom shader library
   const vkapi::ShaderInfo& kernel = VK_KERNEL(test_shader);
@@ -211,7 +423,7 @@ TEST_F(VulkanComputeAPITest, spec_var_classes_test) {
 
 TEST_F(VulkanComputeAPITest, spec_var_shader_test) {
   size_t len = 16;
-  StorageBuffer buffer(context(), vkapi::kFloat, len);
+  StagingBuffer buffer(context(), vkapi::kFloat, len);
 
   float scale = 3.0f;
   float offset = 1.5f;
@@ -235,7 +447,7 @@ TEST_F(VulkanComputeAPITest, spec_var_shader_test) {
   submit_to_gpu();
 
   std::vector<float> data(len);
-  copy_staging_to_ptr(buffer, data.data(), buffer.nbytes());
+  buffer.copy_to(data.data(), buffer.nbytes());
 
   for (size_t i = 0; i < len; ++i) {
     CHECK_VALUE(data, i, scale * i + offset);
@@ -282,7 +494,8 @@ TEST_F(VulkanComputeAPITest, update_params_between_submit) {
         params.buffer());
   }
 
-  StorageBuffer staging_buffer(context(), vkapi::kFloat, a.gpu_numel());
+  StagingBuffer staging_buffer(
+      context(), vkapi::kFloat, a.staging_buffer_numel());
   record_image_to_nchw_op(context(), a, staging_buffer.buffer());
 
   submit_to_gpu();
@@ -302,7 +515,7 @@ TEST_F(VulkanComputeAPITest, update_params_between_submit) {
 
 template <typename T, vkapi::ScalarType dtype>
 void test_storage_buffer_type(const size_t len) {
-  StorageBuffer buffer(context(), dtype, len);
+  StagingBuffer buffer(context(), dtype, len);
 
   std::string kernel_name("idx_fill_buffer");
   switch (dtype) {
@@ -344,7 +557,7 @@ void test_storage_buffer_type(const size_t len) {
   submit_to_gpu();
 
   std::vector<T> data(len);
-  copy_staging_to_ptr(buffer, data.data(), buffer.nbytes());
+  buffer.copy_to(data.data(), buffer.nbytes());
 
   for (size_t i = 0; i < len; ++i) {
     CHECK_VALUE(data, i, T(i));
@@ -359,7 +572,7 @@ TEST_F(VulkanComputeAPITest, test_buffer_float16) {
   if (!context()->adapter_ptr()->has_full_float16_buffers_support()) {
     GTEST_SKIP();
   }
-  test_storage_buffer_type<torch::executor::Half, vkapi::kHalf>(16);
+  test_storage_buffer_type<exec_aten::Half, vkapi::kHalf>(16);
 }
 
 TEST_F(VulkanComputeAPITest, test_buffer_int8) {
@@ -441,7 +654,7 @@ TEST_F(VulkanComputeAPITest, buffer_tensor_sanity_check) {
             run_buffer_tensor_sanity_check<float>(a);
             break;
           case vkapi::kHalf:
-            run_buffer_tensor_sanity_check<torch::executor::Half>(a);
+            run_buffer_tensor_sanity_check<exec_aten::Half>(a);
             break;
           case vkapi::kChar:
             run_buffer_tensor_sanity_check<int8_t>(a);
@@ -478,6 +691,146 @@ TEST_F(VulkanComputeAPITest, texture_add_sanity_check) {
   }
 }
 
+TEST_F(VulkanComputeAPITest, tensor_alias_test) {
+  for (utils::StorageType storage_type : {utils::kTexture3D, utils::kBuffer}) {
+    std::vector<int64_t> sizes = {9, 9};
+
+    const size_t alloc_count_before = get_vma_allocation_count();
+
+    vTensor original = vTensor(context(), sizes, vkapi::kFloat, storage_type);
+
+    vTensor copy = vTensor(original);
+
+    // Two tensors but only one additional allocation.
+    EXPECT_TRUE(get_vma_allocation_count() == alloc_count_before + 1);
+    EXPECT_TRUE(copy.is_view_of(original));
+
+    // Fill original tensor with some data
+    fill_vtensor(original, 2.5f, true);
+
+    std::vector<float> data_out(copy.staging_buffer_numel());
+    // Extract the copy tensor; should contain the data of the original tensor
+    extract_vtensor(copy, data_out);
+
+    for (size_t i = 0; i < original.numel(); ++i) {
+      CHECK_VALUE(data_out, i, 2.5f + i);
+    }
+  }
+}
+
+TEST_F(VulkanComputeAPITest, tensor_no_copy_transpose_test) {
+  constexpr int M = 11;
+  constexpr int K = 23;
+  constexpr int N = 17;
+  std::vector<int64_t> mat1_sizes = {M, K};
+  std::vector<int64_t> mat2_sizes = {N, K};
+  std::vector<int64_t> out_sizes = {M, N};
+
+  for (const auto storage_type : {utils::kTexture3D, utils::kBuffer}) {
+    vTensor mat1 = vTensor(
+        context(),
+        mat1_sizes,
+        vkapi::kFloat,
+        storage_type,
+        utils::kWidthPacked);
+    vTensor mat2 = vTensor(
+        context(),
+        mat2_sizes,
+        vkapi::kFloat,
+        storage_type,
+        utils::kWidthPacked);
+    vTensor out = vTensor(
+        context(), out_sizes, vkapi::kFloat, storage_type, utils::kWidthPacked);
+
+    // Generate data
+    std::vector<float> mat1_data =
+        create_random_float_buffer(mat1.staging_buffer_numel());
+    std::vector<float> mat2_data =
+        create_random_float_buffer(mat2.staging_buffer_numel());
+
+    // Create direct view and modify sizes and strides later
+    vTensor mat2_t = vTensor(mat2);
+    // Update sizes and strides of mat2_t to be that of a transposed tensor
+    mat2_t.virtual_transpose(0, 1);
+
+    EXPECT_TRUE(mat2_t.gpu_memory_layout() == utils::kHeightPacked);
+
+    std::vector<float> mat2_t_data = transpose_matrix(mat2_data, N, K);
+    std::vector<float> ref_out =
+        compute_reference_matmul(mat1_data, mat2_t_data, M, K, N);
+
+    // Fill original tensor with some data
+    fill_vtensor(mat1, mat1_data);
+    fill_vtensor(mat2, mat2_data);
+
+    if (storage_type == utils::kTexture3D) {
+      record_matmul_texture3d(context(), out, mat1, mat2_t);
+    } else {
+      record_reference_matmul(context(), out, mat1, mat2_t);
+    }
+
+    std::vector<float> data_out(out.staging_buffer_numel());
+    // Extract the copy tensor; should contain the data of the original tensor
+    extract_vtensor(out, data_out);
+
+    for (size_t i = 0; i < ref_out.size(); ++i) {
+      EXPECT_TRUE(check_close(data_out[i], ref_out[i]));
+    }
+  }
+}
+
+TEST_F(VulkanComputeAPITest, tensor_no_copy_slice_test) {
+  constexpr int L = 31;
+
+  // S{N} refers to slice {N}
+  constexpr int L_S1 = 17;
+  constexpr int O_S1 = 5;
+
+  constexpr int L_S2 = 7;
+  constexpr int O_S2 = 3;
+
+  std::vector<int64_t> dim_order = {0};
+
+  std::vector<int64_t> t_sizes = {L};
+  std::vector<int64_t> s1_sizes = {L_S1};
+  std::vector<int64_t> s2_sizes = {L_S2};
+
+  vTensor orig = CREATE_FLOAT_BUFFER(t_sizes, /*allocate_memory=*/true);
+
+  fill_vtensor(orig, 0);
+
+  vTensor s1 = vTensor(orig, s1_sizes, dim_order, O_S1);
+  vTensor s2 = vTensor(s1, s2_sizes, dim_order, O_S2);
+
+  record_scalar_add_buffer(api::context(), s1, 4.5f);
+  record_scalar_add_buffer(api::context(), s2, 7.5f);
+
+  std::vector<float> orig_data(orig.staging_buffer_numel());
+  extract_vtensor(orig, orig_data);
+
+  int id = 0;
+  while (id < O_S1) {
+    EXPECT_TRUE(orig_data[id] == 0);
+    ++id;
+  }
+  while (id < O_S1 + O_S2) {
+    EXPECT_TRUE(orig_data[id] == 4.5);
+    ++id;
+  }
+  while (id < O_S1 + O_S2 + L_S2) {
+    EXPECT_TRUE(orig_data[id] == 12);
+    ++id;
+  }
+  while (id < O_S1 + L_S1) {
+    EXPECT_TRUE(orig_data[id] == 4.5);
+    ++id;
+  }
+  while (id < L) {
+    EXPECT_TRUE(orig_data[id] == 0);
+    ++id;
+  }
+}
+
 TEST_F(VulkanComputeAPITest, texture_deferred_allocation_test) {
   // This test is the same as texture_add_sanity_check, except that the tensor
   // memory is allocated in a deferred fashion
@@ -490,9 +843,9 @@ TEST_F(VulkanComputeAPITest, texture_deferred_allocation_test) {
   // No allocations made so far
   EXPECT_TRUE(get_vma_allocation_count() == 0);
 
-  std::vector<float> data_a(a.gpu_numel());
+  std::vector<float> data_a(a.staging_buffer_numel());
   std::fill(data_a.begin(), data_a.end(), 2.5f);
-  std::vector<float> data_b(b.gpu_numel());
+  std::vector<float> data_b(b.staging_buffer_numel());
   std::fill(data_b.begin(), data_b.end(), 1.5f);
 
   // Allocate memory at the last possible opportunity
@@ -511,7 +864,7 @@ TEST_F(VulkanComputeAPITest, texture_deferred_allocation_test) {
 
   record_binary_op(context(), "add", a, b, c);
 
-  std::vector<float> data_c(c.gpu_numel());
+  std::vector<float> data_c(c.staging_buffer_numel());
   extract_vtensor(c, data_c);
 
   for (size_t i = 0; i < data_c.size(); ++i) {
@@ -551,11 +904,11 @@ TEST_F(VulkanComputeAPITest, texture_resource_aliasing_test) {
   EXPECT_TRUE(get_vma_allocation_count() == 3);
 
   // Specify input data
-  std::vector<float> data_a(a.gpu_numel());
+  std::vector<float> data_a(a.staging_buffer_numel());
   std::fill(data_a.begin(), data_a.end(), 2.5f);
-  std::vector<float> data_b(b.gpu_numel());
+  std::vector<float> data_b(b.staging_buffer_numel());
   std::fill(data_b.begin(), data_b.end(), 1.5f);
-  std::vector<float> data_d(b.gpu_numel());
+  std::vector<float> data_d(b.staging_buffer_numel());
   std::fill(data_d.begin(), data_d.end(), 1.0f);
 
   // First, fill a and b with data
@@ -572,7 +925,7 @@ TEST_F(VulkanComputeAPITest, texture_resource_aliasing_test) {
   record_binary_op(context(), "add", c, d, e);
 
   // Extract data from e
-  std::vector<float> data_e(e.gpu_numel());
+  std::vector<float> data_e(e.staging_buffer_numel());
   extract_vtensor(e, data_e);
 
   // Sanity check that the values are correct
@@ -625,71 +978,13 @@ TEST_F(VulkanComputeAPITest, use_non_bound_textures_fails) {
   // No allocations yet
   EXPECT_TRUE(get_vma_allocation_count() == 0);
 
-  std::vector<float> data_a(a.gpu_numel());
+  std::vector<float> data_a(a.staging_buffer_numel());
   std::fill(data_a.begin(), data_a.end(), 2.5f);
 
   // Encoding a command buffer with a vTensor without memory should throw
   EXPECT_THROW(fill_vtensor(a, data_a), vkapi::Error);
 }
 
-TEST_F(VulkanComputeAPITest, tensor_reallocation_test) {
-  std::vector<int64_t> sizes = {4, 4, 1};
-  vTensor a = CREATE_FLOAT_TEXTURE(sizes, /*allocate_memory = */ true);
-  vTensor b = CREATE_FLOAT_TEXTURE(sizes, /*allocate_memory = */ true);
-  vTensor c = CREATE_FLOAT_TEXTURE(sizes, /*allocate_memory = */ true);
-
-  execute_and_check_add(a, b, c, 3.0f, 5.0f);
-
-  // Redo with new sizes
-  std::vector<int64_t> new_sizes = {4, 6, 3};
-  a.reallocate(new_sizes);
-  b.reallocate(new_sizes);
-  c.reallocate(new_sizes);
-
-  // Flush everything
-  context()->flush();
-
-  execute_and_check_add(a, b, c, 12.0f, 10.0f);
-}
-
-TEST_F(
-    VulkanComputeAPITest,
-    tensor_reallocation_with_deferred_allocation_test) {
-  std::vector<int64_t> sizes = {8, 8, 8};
-  vTensor a = CREATE_FLOAT_TEXTURE(sizes, /*allocate_memory = */ false);
-  vTensor b = CREATE_FLOAT_TEXTURE(sizes, /*allocate_memory = */ false);
-  vTensor c = CREATE_FLOAT_TEXTURE(sizes, /*allocate_memory = */ false);
-
-  vkapi::Allocation a_mem = allocate_memory_for(a);
-  a.image().bind_allocation(a_mem);
-  vkapi::Allocation b_mem = allocate_memory_for(b);
-  b.image().bind_allocation(b_mem);
-  vkapi::Allocation c_mem = allocate_memory_for(c);
-  c.image().bind_allocation(c_mem);
-
-  execute_and_check_add(a, b, c, 4.0f, 8.0f);
-
-  std::vector<std::vector<int64_t>> new_sizes_list = {
-      {4, 3, 5}, {4, 1, 7}, {8, 3, 2}, {8, 7, 2}};
-
-  for (auto& new_sizes : new_sizes_list) {
-    // Redo with new sizes
-    a.reallocate(new_sizes);
-    b.reallocate(new_sizes);
-    c.reallocate(new_sizes);
-
-    // Flush everything
-    context()->flush();
-
-    a.image().bind_allocation(a_mem);
-    b.image().bind_allocation(b_mem);
-    c.image().bind_allocation(c_mem);
-
-    execute_and_check_add(
-        a, b, c, float(new_sizes[1] + 4.5f), float(new_sizes[2] + 13.0f));
-  }
-}
-
 TEST_F(VulkanComputeAPITest, texture_virtual_resize) {
   context()->set_cmd(/*reusable = */ true);
   std::vector<int64_t> sizes = {8, 12, 12};
@@ -718,14 +1013,18 @@ TEST_F(VulkanComputeAPITest, texture_virtual_resize) {
     b.virtual_resize(new_sizes);
     c.virtual_resize(new_sizes);
 
-    fill_staging(staging_buffer_a, float(new_sizes[1] + 1.5f), a.gpu_numel());
-    fill_staging(staging_buffer_b, float(new_sizes[2] + 55.0f), b.gpu_numel());
+    fill_staging(
+        staging_buffer_a, float(new_sizes[1] + 1.5f), a.staging_buffer_numel());
+    fill_staging(
+        staging_buffer_b,
+        float(new_sizes[2] + 55.0f),
+        b.staging_buffer_numel());
 
     submit_to_gpu();
     check_staging_buffer(
         staging_buffer_c,
         float(new_sizes[1] + new_sizes[2] + 56.5f),
-        c.gpu_numel());
+        c.staging_buffer_numel());
   }
 }
 
@@ -733,10 +1032,39 @@ TEST_F(VulkanComputeAPITest, texture_virtual_resize) {
 // Compute Graph Tests
 //
 
-#define EXTRACT_TENSOR(name)                                                 \
-  std::vector<float> data_##name(graph.get_tensor(name.value)->gpu_numel()); \
+#define EXTRACT_TENSOR(name)                                 \
+  std::vector<float> data_##name(                            \
+      graph.get_tensor(name.value)->staging_buffer_numel()); \
   graph.copy_from_staging(name.staging, data_##name.data(), data_##name.size());
 
+// The purpose of this test is simply to track the size of various classes over
+// time, in the interest of making sure that they doesn't grow too large.
+TEST_F(VulkanComputeAPITest, print_object_sizes) {
+#define PRINT_SIZE(name) \
+  std::cout << #name << " size: " << sizeof(name) << " B" << std::endl
+  PRINT_SIZE(vTensor);
+  PRINT_SIZE(Value);
+  PRINT_SIZE(StagingBuffer);
+  PRINT_SIZE(ComputeGraph);
+  PRINT_SIZE(ExecuteNode);
+#undef PRINT_SIZE
+
+  // The actual sizes of each object is dependent on the platform. However, we
+  // can alert ourselves to any significant changes in the sizes of these
+  // objects by checking the `sizeof()` the class against some loose thresholds.
+
+  // Current known size on 64 bit system: 1040 B
+  EXPECT_TRUE(sizeof(vTensor) < 1200);
+  // Current known size on 64 bit system: 1056 B
+  EXPECT_TRUE(sizeof(Value) < 1200);
+  // Current known size on 64 bit system: 120 B
+  EXPECT_TRUE(sizeof(StagingBuffer) < 500);
+  // Current known size on 64 bit system: 384 B
+  EXPECT_TRUE(sizeof(ComputeGraph) < 500);
+  // Current known size on 64 bit system: 248 B
+  EXPECT_TRUE(sizeof(ExecuteNode) < 500);
+}
+
 TEST(VulkanComputeGraphTest, test_values_scalars) {
   GraphConfig config;
   ComputeGraph graph(config);
@@ -791,6 +1119,19 @@ TEST(VulkanComputeGraphTest, test_values_string) {
   EXPECT_TRUE(stored == "hello, world");
 }
 
+TEST(VulkanComputeGraphTest, empty_init_executenode_test) {
+  ExecuteNode node(nullptr, {});
+  EXPECT_FALSE(node);
+
+  GraphConfig config;
+  ComputeGraph graph(config);
+
+  // Encode an empty ExecuteNode and check that command buffer encoding does not
+  // crash.
+  graph.execute_nodes().emplace_back(new ExecuteNode(nullptr, {}));
+  EXPECT_NO_FATAL_FAILURE(graph.encode_execute());
+}
+
 TEST(VulkanComputeGraphTest, test_zero_dim_tensor) {
   GraphConfig config;
   ComputeGraph graph(config);
@@ -877,12 +1218,68 @@ TEST(VulkanComputeGraphTest, test_simple_graph_with_buffer) {
   }
 }
 
+TEST(VulkanComputeGraphTest, test_simple_graph_with_view) {
+  constexpr int W = 7;
+  constexpr int H = 7;
+  // slice height
+  constexpr int S_H = 2;
+  // slice offset
+  constexpr int S_O = 3;
+
+  GraphConfig config;
+  config.set_storage_type_override(utils::kBuffer);
+  ComputeGraph graph(config);
+
+  std::vector<int64_t> dim_order = {0, 1};
+
+  std::vector<int64_t> orig_sizes = {H, W};
+  std::vector<int64_t> slice_sizes = {S_H, W};
+  const int offset = S_O * W;
+
+  // Build graph
+
+  IOValueRef orig = graph.add_input_tensor(orig_sizes, vkapi::kFloat);
+  ValueRef slice =
+      graph.add_tensor_view(orig.value, slice_sizes, dim_order, offset);
+
+  EXPECT_TRUE(graph.val_is_view_of(slice, orig.value));
+
+  IOValueRef out = {};
+
+  out.value = graph.add_tensor(slice_sizes, vkapi::kFloat);
+
+  auto opFn = VK_GET_OP_FN("aten.abs.default");
+  opFn(graph, {slice, out.value, kDummyValueRef, kDummyValueRef});
+
+  out.staging = graph.set_output_tensor(out.value);
+
+  graph.prepare();
+  graph.encode_execute();
+
+  // Run graph
+
+  for (float i = 5.0f; i < 30.0f; i += 10.0f) {
+    float start_val = -130 + i;
+
+    fill_vtensor(graph, orig, start_val, true);
+
+    graph.execute();
+
+    EXTRACT_TENSOR(out);
+
+    for (size_t i = 0; i < graph.get_tensor(out.value)->numel(); ++i) {
+      const float expected_val = std::abs(start_val) - float(offset) - i;
+      CHECK_VALUE(data_out, i, expected_val);
+    }
+  }
+}
+
 TEST(VulkanComputeGraphTest, test_simple_graph) {
   GraphConfig config;
   ComputeGraph graph(config);
 
-  std::vector<int64_t> size_big = {8, 64, 124};
-  std::vector<int64_t> size_small = {8, 1, 124};
+  std::vector<int64_t> size_big = {1, 8, 8};
+  std::vector<int64_t> size_small = {1, 1, 8};
 
   // Build graph
 
@@ -922,6 +1319,64 @@ TEST(VulkanComputeGraphTest, test_simple_graph) {
   }
 }
 
+TEST(VulkanComputeGraphTest, test_simple_graph_with_symint) {
+  GraphConfig config;
+  config.set_storage_type_override(utils::kTexture3D);
+  ComputeGraph graph(config);
+
+  std::vector<int64_t> sizes = {8, 64, 124};
+
+  // Build graph
+
+  ValueRef scalar = graph.add_symint(1);
+  IOValueRef a = graph.add_input_tensor(sizes, vkapi::kFloat);
+
+  IOValueRef out = {};
+  out.value = a.value;
+
+  graph.execute_nodes().emplace_back(new ExecuteNode(
+      graph,
+      VK_KERNEL_FROM_STR("scalar_add_texture"),
+      graph.create_global_wg_size(a.value),
+      graph.create_local_wg_size(a.value),
+      // Inputs and Outputs
+      {{out.value, vkapi::MemoryAccessType::WRITE}},
+      // Shader params buffers
+      {graph.logical_limits_ubo(a.value),
+       graph.get_or_create_int_param_buffer(scalar)},
+      // Specialization Constants
+      {},
+      // Resizing Logic
+      nullptr,
+      {}));
+
+  out.staging = graph.set_output_tensor(out.value);
+
+  graph.prepare();
+  graph.encode_execute();
+
+  // Run graph
+
+  for (float i = 5.0f; i < 30.0f; i += 10.0f) {
+    int scalar_val = i - 3.0f;
+    graph.set_symint(scalar, scalar_val);
+
+    float val_a = i + 2.0f;
+    float val_out = val_a + scalar_val;
+
+    fill_vtensor(graph, a, val_a);
+
+    graph.execute();
+
+    EXTRACT_TENSOR(out);
+
+    // Sanity check that the values are correct
+    for (size_t i = 0; i < graph.get_tensor(out.value)->numel(); ++i) {
+      CHECK_VALUE(data_out, i, val_out);
+    }
+  }
+}
+
 #define CREATE_WEIGHT_TENSOR(name, sizes, dtype, val)              \
   std::vector<float> data_##name(utils::multiply_integers(sizes)); \
   std::fill(data_##name.begin(), data_##name.end(), val);          \
@@ -989,6 +1444,7 @@ TEST(VulkanComputeGraphTest, test_simple_prepacked_graph) {
 TEST(VulkanComputeGraphTest, test_simple_shared_objects_with_resize) {
   GraphConfig config;
   ComputeGraph graph(config);
+  size_t expected_vma_allocation_count = 0;
 
   std::vector<int64_t> size_big = {12, 64, 64};
   std::vector<int64_t> size_small = {12, 64, 64};
@@ -1005,8 +1461,10 @@ TEST(VulkanComputeGraphTest, test_simple_shared_objects_with_resize) {
       /*shared_object_idx = */ 4);
 
   // +2: t.sizes_ubo() for each staging shader
+  // +2: t.axis_map_ubo() for each staging shader
   // +2: staging buffer for each input tensor
-  EXPECT_TRUE(get_vma_allocation_count() == 4);
+  expected_vma_allocation_count += 6;
+  EXPECT_EQ(get_vma_allocation_count(), expected_vma_allocation_count);
 
   ValueRef c = graph.add_tensor(
       size_big,
@@ -1016,15 +1474,22 @@ TEST(VulkanComputeGraphTest, test_simple_shared_objects_with_resize) {
   auto addFn = VK_GET_OP_FN("aten.add.Tensor");
   addFn(graph, {a.value, b.value, kDummyValueRef, c});
 
+  // +2: alpha UBO, broadcast UBO for arithmetic shader
+  // +1: t.sizes_ubo() for arithmetic shader output c
+  // +1: t.axis_map_ubo() for arithmetic shader output c
+  expected_vma_allocation_count += 4;
+  EXPECT_EQ(get_vma_allocation_count(), expected_vma_allocation_count);
+
   IOValueRef d = graph.add_input_tensor(
       size_small,
       vkapi::kFloat,
       /*shared_object_idx = */ 2);
 
-  // +2: alpha UBO, broadcast UBO for arithmetic shader
   // +1: t.sizes_ubo() uniform buffer for staging shader
+  // +1: t.axis_map_ubo() uniform buffer for staging shader
   // +1: staging buffer for the input tensor
-  EXPECT_TRUE(get_vma_allocation_count() == 9);
+  expected_vma_allocation_count += 3;
+  EXPECT_EQ(get_vma_allocation_count(), expected_vma_allocation_count);
 
   ValueRef e = graph.add_tensor(
       size_big,
@@ -1034,20 +1499,26 @@ TEST(VulkanComputeGraphTest, test_simple_shared_objects_with_resize) {
   auto mulFn = VK_GET_OP_FN("aten.mul.Tensor");
   mulFn(graph, {c, d.value, e});
 
+  // +2: alpha UBO, broadcast UBO for arithmetic shader
+  // +1: t.sizes_ubo() for arithmetic shader output e
+  // +1: t.axis_map_ubo() for arithmetic shader output e
+  expected_vma_allocation_count += 4;
+  EXPECT_EQ(get_vma_allocation_count(), expected_vma_allocation_count);
+
   IOValueRef out = {};
   out.value = e;
   out.staging = graph.set_output_tensor(out.value);
 
-  // +2: alpha UBO, broadcast UBO for arithmetic shader
-  // +1: t.sizes_ubo() for staging shader
-  // +1 staging buffer for the input tensor
-  EXPECT_TRUE(get_vma_allocation_count() == 13);
+  // +1: staging buffer for the output tensor
+  expected_vma_allocation_count += 1;
+  EXPECT_EQ(get_vma_allocation_count(), expected_vma_allocation_count);
 
   graph.prepare();
   graph.encode_execute();
 
   // +3: shared memory allocations for tensors
-  EXPECT_TRUE(get_vma_allocation_count() == 16);
+  expected_vma_allocation_count += 3;
+  EXPECT_EQ(get_vma_allocation_count(), expected_vma_allocation_count);
 
   // Run graph
 
@@ -1114,6 +1585,105 @@ TEST(VulkanComputeGraphTest, test_simple_shared_objects_with_resize) {
   }
 }
 
+TEST(VulkanComputeGraphTest, test_simple_graph_with_tmp_tensors) {
+  GraphConfig config;
+  ComputeGraph graph(config);
+
+  std::vector<int64_t> size_big = {8, 64, 124};
+  std::vector<int64_t> size_small = {8, 1, 124};
+
+  // Build graph
+
+  IOValueRef a = graph.add_input_tensor(
+      size_big, vkapi::kFloat, /*shared_object_idx = */ 0);
+  IOValueRef b = graph.add_input_tensor(
+      size_small, vkapi::kFloat, /*shared_object_idx = */ 1);
+
+  IOValueRef out = {};
+
+  out.value =
+      graph.add_tensor(size_big, vkapi::kFloat, /*shared_object_idx = */ 2);
+
+  // Perform the following compute
+  //
+  // a, b, out;
+  // {
+  //   inter;
+  //   {
+  //     tmp = a + b
+  //     tmp2 = tmp + a
+  //     inter = tmp2 + b
+  //   }
+  //   {
+  //     tmp = inter + b;
+  //     tmp2 = tmp + a
+  //     out = tmp2 + b;
+  //   }
+  // }
+  {
+    TmpTensor inter(&graph, size_big, vkapi::kFloat);
+    EXPECT_TRUE(inter.sobj_idx == 3);
+    {
+      TmpTensor tmp(&graph, size_big, vkapi::kFloat);
+      EXPECT_TRUE(tmp.sobj_idx == 4);
+      VK_GET_OP_FN("aten.add.Tensor")
+      (graph, {a, b, kDummyValueRef, tmp});
+
+      TmpTensor tmp2(&graph, size_big, vkapi::kFloat);
+      EXPECT_TRUE(tmp2.sobj_idx == 5);
+      VK_GET_OP_FN("aten.add.Tensor")
+      (graph, {tmp, a, kDummyValueRef, tmp2});
+
+      VK_GET_OP_FN("aten.add.Tensor")
+      (graph, {tmp2, b, kDummyValueRef, inter});
+    }
+    {
+      TmpTensor tmp(&graph, size_big, vkapi::kFloat);
+      EXPECT_TRUE(tmp.sobj_idx == 4);
+      VK_GET_OP_FN("aten.add.Tensor")
+      (graph, {inter, b, kDummyValueRef, tmp});
+
+      TmpTensor tmp2(&graph, size_big, vkapi::kFloat);
+      EXPECT_TRUE(tmp2.sobj_idx == 5);
+      VK_GET_OP_FN("aten.add.Tensor")
+      (graph, {tmp, a, kDummyValueRef, tmp2});
+
+      VK_GET_OP_FN("aten.add.Tensor")
+      (graph, {tmp2, b, kDummyValueRef, out});
+    }
+  }
+
+  out.staging = graph.set_output_tensor(out.value);
+
+  graph.prepare();
+  graph.encode_execute();
+
+  // Run graph
+
+  for (float i = 5.0f; i < 30.0f; i += 10.0f) {
+    float val_a = i + 2.0f;
+    float val_b = i + 1.5f;
+    float val_tmp = val_a + val_b;
+    float val_tmp2 = val_tmp + val_a;
+    float val_inter = val_tmp2 + val_b;
+    float val_tmp_2 = val_inter + val_b;
+    float val_tmp2_2 = val_tmp_2 + val_a;
+    float val_out = val_tmp2_2 + val_b;
+
+    fill_vtensor(graph, a, val_a);
+    fill_vtensor(graph, b, val_b);
+
+    graph.execute();
+
+    EXTRACT_TENSOR(out);
+
+    // Sanity check that the values are correct
+    for (size_t i = 0; i < graph.get_tensor(out.value)->numel(); ++i) {
+      CHECK_VALUE(data_out, i, val_out);
+    }
+  }
+}
+
 TEST(VulkanComputeGraphTest, test_large_graph) {
   auto build_start_time = std::chrono::system_clock::now();
   GraphConfig config;
@@ -1692,25 +2262,21 @@ void run_from_gpu_test(
   if (dtype == vkapi::kHalf && !context()->adapter_ptr()->has_16bit_storage()) {
     return;
   }
-  if ((dtype == vkapi::kChar || dtype == vkapi::kQInt8) &&
-      !context()->adapter_ptr()->has_full_int8_buffers_support()) {
-    return;
-  }
   vTensor vten = vTensor(context(), sizes, dtype, storage_type, memory_layout);
 
   std::string kernel_name("idx_fill_texture");
-  add_memory_layout_suffix(kernel_name, vten);
   add_dtype_suffix(kernel_name, vten);
 
+  int32_t offset = -50;
+
   {
     vkapi::PipelineBarrier pipeline_barrier{};
-    vkapi::SpecVarList specialization_constants = {vten.packed_dim_whcn_idx()};
     context()->submit_compute_job(
         VK_KERNEL_FROM_STR(kernel_name),
         pipeline_barrier,
-        vten.image_extents(),
+        vten.logical_limits(),
         {4, 4, 4},
-        specialization_constants,
+        {vten.packed_dim_whcn_idx(), offset},
         VK_NULL_HANDLE,
         0,
         vten.image(
@@ -1720,22 +2286,27 @@ void run_from_gpu_test(
         vten.sizes_ubo());
   }
 
-  StorageBuffer staging_buffer(context(), dtype, vten.gpu_numel());
+  StagingBuffer staging_buffer(context(), dtype, vten.staging_buffer_numel());
 
-  record_image_to_nchw_op(context(), vten, staging_buffer.buffer());
+  if (dtype == vkapi::kChar &&
+      !context()->adapter_ptr()->has_full_int8_buffers_support()) {
+    record_int8_image_to_nchw_noint8_op(context(), vten, staging_buffer);
+  } else {
+    record_image_to_nchw_op(context(), vten, staging_buffer.buffer());
+  }
 
   submit_to_gpu();
 
   std::vector<T> data_out(staging_buffer.numel());
-  copy_staging_to_ptr(staging_buffer, data_out.data(), staging_buffer.nbytes());
+  staging_buffer.copy_to(data_out.data(), staging_buffer.nbytes());
 
   for (int i = 0; i < vten.numel(); i++) {
-    CHECK_VALUE(data_out, i, i);
+    CHECK_VALUE(data_out, i, i + offset);
   }
 }
 
 template <typename T>
-void run_to_gpu_test(
+void round_trip_test(
     std::vector<int64_t>& sizes,
     utils::GPUMemoryLayout memory_layout =
         utils::GPUMemoryLayout::TENSOR_CHANNELS_PACKED,
@@ -1744,44 +2315,87 @@ void run_to_gpu_test(
   if (dtype == vkapi::kHalf && !context()->adapter_ptr()->has_16bit_storage()) {
     return;
   }
-  if ((dtype == vkapi::kChar || dtype == vkapi::kQInt8) &&
-      !context()->adapter_ptr()->has_full_int8_buffers_support()) {
-    return;
-  }
 
   vTensor vten = vTensor(context(), sizes, dtype, storage_type, memory_layout);
 
   // Create and fill input staging buffer
-  StorageBuffer staging_buffer_in(context(), dtype, vten.gpu_numel());
+  StagingBuffer staging_buffer_in(
+      context(), dtype, vten.staging_buffer_numel());
 
   std::vector<T> data_in(staging_buffer_in.numel());
   for (int i = 0; i < staging_buffer_in.numel(); i++) {
-    data_in[i] = i;
+    data_in[i] = T(i * -1);
   }
-  copy_ptr_to_staging(data_in.data(), staging_buffer_in, vten.gpu_nbytes());
+  staging_buffer_in.copy_from(data_in.data(), vten.staging_buffer_nbytes());
 
   // Output staging buffer
-  StorageBuffer staging_buffer_out(context(), dtype, vten.gpu_numel());
+  StagingBuffer staging_buffer_out(
+      context(), dtype, vten.staging_buffer_numel());
 
-  // Copy data in and out of the tensor
   record_nchw_to_image_op(context(), staging_buffer_in.buffer(), vten);
-  record_image_to_nchw_op(context(), vten, staging_buffer_out.buffer());
+
+  // Copy data in and out of the tensor
+  if (dtype == vkapi::kChar &&
+      !context()->adapter_ptr()->has_full_int8_buffers_support()) {
+    record_int8_image_to_nchw_noint8_op(context(), vten, staging_buffer_out);
+  } else {
+    record_image_to_nchw_op(context(), vten, staging_buffer_out.buffer());
+  }
 
   // Execute command buffer
   submit_to_gpu();
 
   // Extract data from output staging buffer
   std::vector<T> data_out(staging_buffer_out.numel());
-  copy_staging_to_ptr(
-      staging_buffer_out, data_out.data(), staging_buffer_out.nbytes());
+  staging_buffer_out.copy_to(data_out.data(), staging_buffer_out.nbytes());
 
   // All indices should be equal to the input data
   for (int i = 0; i < vten.numel(); i++) {
-    CHECK_VALUE(data_out, i, i);
+    CHECK_VALUE(data_out, i, data_in[i]);
   }
 }
 
-TEST(VulkanToFromGPUShaderTest, to_gpu_and_from_gpu_test_texture) {
+template <typename T>
+void compute_graph_round_trip_test(
+    std::vector<int64_t>& sizes,
+    utils::GPUMemoryLayout memory_layout =
+        utils::GPUMemoryLayout::TENSOR_CHANNELS_PACKED,
+    vkapi::ScalarType dtype = vkapi::kFloat,
+    utils::StorageType storage_type = utils::StorageType::TEXTURE_3D) {
+  if (dtype == vkapi::kHalf && !context()->adapter_ptr()->has_16bit_storage()) {
+    return;
+  }
+
+  GraphConfig config;
+  ComputeGraph graph(config);
+
+  ValueRef r_tensor =
+      graph.add_tensor(sizes, dtype, storage_type, memory_layout);
+  ValueRef r_staging_in = graph.set_input_tensor(r_tensor);
+  ValueRef r_staging_out = graph.set_output_tensor(r_tensor);
+
+  graph.prepare();
+  graph.encode_execute();
+
+  vTensorPtr tensor = graph.get_tensor(r_tensor);
+
+  std::vector<T> data_in(tensor->numel());
+  for (int i = 0; i < data_in.size(); i++) {
+    data_in[i] = T(i * -1);
+  }
+  graph.copy_into_staging(r_staging_in, data_in.data(), data_in.size());
+
+  graph.execute();
+
+  std::vector<T> data_out(tensor->staging_buffer_numel());
+  graph.copy_from_staging(r_staging_out, data_out.data(), data_out.size());
+
+  for (int i = 0; i < data_in.size(); i++) {
+    CHECK_VALUE(data_out, i, data_in[i]);
+  }
+}
+
+TEST(VulkanToFromGPUShaderTest, round_trip_tests) {
   // The below tests will fill each texel element with the value of the linear
   // buffer index that corresponds to it. The texel at position (0, 0, 0) will
   // be filled with the values [0, 1, 2, 3], the texel at position (1, 0, 0)
@@ -1824,16 +2438,22 @@ TEST(VulkanToFromGPUShaderTest, to_gpu_and_from_gpu_test_texture) {
   };
 
 #define RUN_TESTS(ctype, dtype)                                      \
-  run_to_gpu_test<ctype>(                                            \
+  round_trip_test<ctype>(                                            \
+      sizes, utils::GPUMemoryLayout::TENSOR_CHANNELS_PACKED, dtype); \
+  round_trip_test<ctype>(                                            \
+      sizes, utils::GPUMemoryLayout::TENSOR_WIDTH_PACKED, dtype);    \
+  round_trip_test<ctype>(                                            \
+      sizes, utils::GPUMemoryLayout::TENSOR_HEIGHT_PACKED, dtype);   \
+  compute_graph_round_trip_test<ctype>(                              \
       sizes, utils::GPUMemoryLayout::TENSOR_CHANNELS_PACKED, dtype); \
-  run_to_gpu_test<ctype>(                                            \
+  compute_graph_round_trip_test<ctype>(                              \
       sizes, utils::GPUMemoryLayout::TENSOR_WIDTH_PACKED, dtype);    \
-  run_to_gpu_test<ctype>(                                            \
+  compute_graph_round_trip_test<ctype>(                              \
       sizes, utils::GPUMemoryLayout::TENSOR_HEIGHT_PACKED, dtype);
 
   for (auto& sizes : to_test) {
     RUN_TESTS(float, vkapi::kFloat)
-    RUN_TESTS(torch::executor::Half, vkapi::kHalf)
+    RUN_TESTS(exec_aten::Half, vkapi::kHalf)
   }
 
   for (auto& sizes : to_test_int8) {
@@ -1911,24 +2531,28 @@ void test_binary_op(
   }
 }
 
-#define CALL_TEST_FN_FORALL_CONDITIONS(_)                                 \
-  _(vkapi::kFloat, utils::GPUMemoryLayout::TENSOR_WIDTH_PACKED, false)    \
-  _(vkapi::kFloat, utils::GPUMemoryLayout::TENSOR_HEIGHT_PACKED, false)   \
-  _(vkapi::kFloat, utils::GPUMemoryLayout::TENSOR_CHANNELS_PACKED, false) \
-  _(vkapi::kFloat, utils::GPUMemoryLayout::TENSOR_WIDTH_PACKED, true)     \
-  _(vkapi::kFloat, utils::GPUMemoryLayout::TENSOR_HEIGHT_PACKED, true)    \
-  _(vkapi::kFloat, utils::GPUMemoryLayout::TENSOR_CHANNELS_PACKED, true)
-
-#define CALL_TEST_FN_FOR_W_PACKED(_)                                   \
-  _(vkapi::kFloat, utils::GPUMemoryLayout::TENSOR_WIDTH_PACKED, false) \
-  _(vkapi::kFloat, utils::GPUMemoryLayout::TENSOR_WIDTH_PACKED, true)
-
-#define CALL_TEST_FN_FOR_C_PACKED(_)                                      \
-  _(vkapi::kFloat, utils::GPUMemoryLayout::TENSOR_CHANNELS_PACKED, false) \
-  _(vkapi::kFloat, utils::GPUMemoryLayout::TENSOR_CHANNELS_PACKED, true)
+#define CALL_TEST_FN_FORALL_CONDITIONS(_)                            \
+  _(vkapi::kFloat, utils::kTexture3D, utils::kWidthPacked, false)    \
+  _(vkapi::kFloat, utils::kTexture3D, utils::kHeightPacked, false)   \
+  _(vkapi::kFloat, utils::kTexture3D, utils::kChannelsPacked, false) \
+  _(vkapi::kFloat, utils::kTexture3D, utils::kWidthPacked, true)     \
+  _(vkapi::kFloat, utils::kTexture3D, utils::kHeightPacked, true)    \
+  _(vkapi::kFloat, utils::kTexture3D, utils::kChannelsPacked, true)
+
+#define CALL_TEST_FN_FOR_W_PACKED(_)                              \
+  _(vkapi::kFloat, utils::kTexture3D, utils::kWidthPacked, false) \
+  _(vkapi::kFloat, utils::kTexture3D, utils::kWidthPacked, true)  \
+  _(vkapi::kFloat, utils::kBuffer, utils::kWidthPacked, false)    \
+  _(vkapi::kFloat, utils::kBuffer, utils::kWidthPacked, true)
+
+#define CALL_TEST_FN_FOR_C_PACKED(_)                                 \
+  _(vkapi::kFloat, utils::kTexture3D, utils::kChannelsPacked, false) \
+  _(vkapi::kFloat, utils::kTexture3D, utils::kChannelsPacked, true)  \
+  _(vkapi::kFloat, utils::kBuffer, utils::kChannelsPacked, false)    \
+  _(vkapi::kFloat, utils::kBuffer, utils::kChannelsPacked, true)
 
 TEST(VulkanComputeGraphOpsTest, add_smoke_test) {
-#define RUN_TESTS(dtype, layout, prepack)                                  \
+#define RUN_TESTS(dtype, storage, layout, prepack)                         \
   test_binary_op("add", {17, 21}, {17, 21}, dtype, layout, prepack);       \
   test_binary_op("add", {17, 21}, {1, 1}, dtype, layout, prepack);         \
   test_binary_op("sub", {11, 22}, {11, 22}, dtype, layout, prepack);       \
@@ -1949,9 +2573,11 @@ void test_mm(
     int K,
     int N,
     vkapi::ScalarType dtype,
+    utils::StorageType storage_type,
     utils::GPUMemoryLayout memory_layout,
     bool prepack = true) {
   GraphConfig config;
+  config.set_storage_type_override(storage_type);
   ComputeGraph graph(config);
 
   std::vector<int64_t> mat1_size = {M, K};
@@ -2008,38 +2634,42 @@ void test_mm(
 }
 
 TEST(VulkanComputeGraphOpsTest, mm_smoke_test) {
-#define RUN_TESTS(dtype, layout, prepack) \
-  test_mm(                                \
-      /*B = */ 1,                         \
-      /*M = */ 31,                        \
-      /*K = */ 127,                       \
-      /*N = */ 23,                        \
-      dtype,                              \
-      layout,                             \
-      prepack);                           \
-  test_mm(                                \
-      /*B = */ 5,                         \
-      /*M = */ 31,                        \
-      /*K = */ 127,                       \
-      /*N = */ 23,                        \
-      dtype,                              \
-      layout,                             \
-      prepack);                           \
-  test_mm(                                \
-      /*B = */ 7,                         \
-      /*M = */ 13,                        \
-      /*K = */ 89,                        \
-      /*N = */ 17,                        \
-      dtype,                              \
-      layout,                             \
-      prepack);                           \
-  test_mm(                                \
-      /*B = */ 1,                         \
-      /*M = */ 13,                        \
-      /*K = */ 89,                        \
-      /*N = */ 17,                        \
-      dtype,                              \
-      layout,                             \
+#define RUN_TESTS(dtype, storage_type, layout, prepack) \
+  test_mm(                                              \
+      /*B = */ 1,                                       \
+      /*M = */ 31,                                      \
+      /*K = */ 127,                                     \
+      /*N = */ 23,                                      \
+      dtype,                                            \
+      storage_type,                                     \
+      layout,                                           \
+      prepack);                                         \
+  test_mm(                                              \
+      /*B = */ 5,                                       \
+      /*M = */ 31,                                      \
+      /*K = */ 127,                                     \
+      /*N = */ 23,                                      \
+      dtype,                                            \
+      storage_type,                                     \
+      layout,                                           \
+      prepack);                                         \
+  test_mm(                                              \
+      /*B = */ 7,                                       \
+      /*M = */ 13,                                      \
+      /*K = */ 89,                                      \
+      /*N = */ 17,                                      \
+      dtype,                                            \
+      storage_type,                                     \
+      layout,                                           \
+      prepack);                                         \
+  test_mm(                                              \
+      /*B = */ 1,                                       \
+      /*M = */ 13,                                      \
+      /*K = */ 89,                                      \
+      /*N = */ 17,                                      \
+      dtype,                                            \
+      storage_type,                                     \
+      layout,                                           \
       prepack);
 
   CALL_TEST_FN_FOR_W_PACKED(RUN_TESTS);
@@ -2097,18 +2727,18 @@ void test_max_pool2d(
   fill_vtensor(graph, graph.inputs().at(0), base_val, /*iota = */ true);
 
   vTensorPtr t_in = graph.get_tensor(in_ioval.value);
-  std::vector<float> input_data(t_in->gpu_numel());
+  std::vector<float> input_data(t_in->staging_buffer_numel());
   graph.copy_from_staging(
       in_ioval.staging, input_data.data(), input_data.size());
 
   graph.execute();
 
   vTensorPtr t_out = graph.get_tensor(out_ioval.value);
-  std::vector<float> output_data(t_out->gpu_numel());
+  std::vector<float> output_data(t_out->staging_buffer_numel());
   graph.copy_from_staging(
       out_ioval.staging, output_data.data(), output_data.size());
   vTensorPtr t_idx = graph.get_tensor(idx_ioval.value);
-  std::vector<int> index_data(t_idx->gpu_numel());
+  std::vector<int> index_data(t_idx->staging_buffer_numel());
   graph.copy_from_staging(
       idx_ioval.staging, index_data.data(), index_data.size());
 
@@ -2152,19 +2782,18 @@ void test_conv2d(
 
   // Create and fill input staging buffer
   const int64_t in_numel = utils::multiply_integers(original_sizes);
-  StorageBuffer staging_buffer_in(context(), vkapi::kFloat, in_numel);
+  StagingBuffer staging_buffer_in(context(), vkapi::kFloat, in_numel);
 
   std::vector<float> data_in(in_numel);
   for (int i = 0; i < in_numel; i++) {
     data_in[i] = i + 1;
   }
-  copy_ptr_to_staging(
-      data_in.data(), staging_buffer_in, sizeof(float) * in_numel);
+  staging_buffer_in.copy_from(data_in.data(), sizeof(float) * in_numel);
 
   // Output staging buffer
   const int64_t out_numel =
       padded_sizes[0] * padded_sizes[1] * original_sizes[2] * original_sizes[3];
-  StorageBuffer staging_buffer_out(context(), vkapi::kFloat, out_numel);
+  StagingBuffer staging_buffer_out(context(), vkapi::kFloat, out_numel);
 
   // Copy data in and out of the tensor
   record_conv2d_prepack_weights_op(
@@ -2176,8 +2805,7 @@ void test_conv2d(
 
   // Extract data from output staging buffer
   std::vector<float> data_out(out_numel);
-  copy_staging_to_ptr(
-      staging_buffer_out, data_out.data(), sizeof(float) * out_numel);
+  staging_buffer_out.copy_to(data_out.data(), sizeof(float) * out_numel);
 
   // Check data matches results copied from ATen-VK
   for (int i = 0; i < vten.numel(); i++) {
@@ -2203,3 +2831,201 @@ TEST(VulkanComputeGraphOpsTest, conv2d_prepack_test) {
                                 0, 3, 9, 0, 0, 6, 12, 0, 0, 5,  11,
                                 0, 0, 0, 0, 0, 0, 0,  0, 0, 0});
 }
+
+void test_grid_priors(
+    std::vector<int64_t> input_sizes,
+    std::vector<int64_t> output_sizes,
+    int stride,
+    double offset,
+    const std::vector<float>& data_out_expected) {
+  GraphConfig config;
+  ComputeGraph graph(config);
+
+  // Build graph
+  IOValueRef in = graph.add_input_tensor(
+      input_sizes,
+      vkapi::kFloat,
+      utils::GPUMemoryLayout::TENSOR_CHANNELS_PACKED);
+  IOValueRef out;
+  out.value = graph.add_tensor(
+      output_sizes,
+      vkapi::kFloat,
+      utils::GPUMemoryLayout::TENSOR_CHANNELS_PACKED);
+
+  VK_GET_OP_FN("et_vk.grid_priors.default")
+  (graph,
+   {in.value,
+    graph.add_scalar<int64_t>(stride),
+    graph.add_scalar<double>(offset),
+    out.value});
+
+  out.staging = graph.set_output_tensor(out.value);
+
+  graph.prepare();
+  graph.encode_prepack();
+  graph.prepack();
+  graph.encode_execute();
+
+  vTensorPtr t_in = graph.get_tensor(in.value);
+  vTensorPtr t_out = graph.get_tensor(out.value);
+  // Resize input
+  graph.propagate_resize();
+
+  // run graph
+  graph.execute();
+
+  std::vector<float> output_data(t_out->staging_buffer_numel());
+  graph.copy_from_staging(out.staging, output_data.data(), output_data.size());
+
+  // check results
+  int h_out = utils::val_at(-2, t_out->sizes());
+  int w_out = utils::val_at(-1, t_out->sizes());
+  for (size_t i = 0; i < h_out; ++i) {
+    for (size_t j = 0; j < w_out; ++j) {
+      size_t idx_out = i * w_out + j;
+      CHECK_VALUE(output_data, idx_out, data_out_expected[idx_out]);
+    }
+  }
+}
+
+TEST(VulkanComputeGraphOpsTest, grid_priors_test) {
+  test_grid_priors(
+      /*input size = */ {1, 5, 2, 3},
+      /*output size = */ {6, 2},
+      /*stride = */ 1,
+      /*offset = */ 0.0,
+      /*data_out_expected = */ {0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 2, 1});
+
+  test_grid_priors(
+      /*input size = */ {1, 5, 2, 3},
+      /*output size = */ {6, 2},
+      /*stride = */ 8,
+      /*offset = */ 0.5,
+      /*data_out_expected = */ {4, 4, 12, 4, 20, 4, 4, 12, 12, 12, 20, 12});
+}
+
+void test_int4pack_mm(
+    std::vector<uint32_t> MKN,
+    uint32_t group_size,
+    utils::StorageType storage_type) {
+  GraphConfig config;
+  ComputeGraph graph(config);
+
+  const uint32_t M = MKN[0];
+  const uint32_t K = MKN[1];
+  const uint32_t N = MKN[2];
+
+  const std::vector<int64_t> mat1_size = {M, K};
+  const std::vector<int64_t> mat2_size = {K, N};
+  const std::vector<int64_t> mat2_q_size = {N, K / 2}; // Transposed and packed
+  const std::vector<int64_t> out_size = {M, N};
+
+  std::vector<float> A_data = create_random_float_buffer(M * K);
+  IOValueRef A = graph.add_input_tensor(mat1_size, vkapi::kFloat, storage_type);
+  graph.copy_into_staging(A.staging, A_data.data(), A_data.size());
+
+  // Quantized but un-packed weights
+  std::vector<uint8_t> B_quant_data = create_random_uint8_buffer(K * N, 0, 16);
+
+  // Pack and transpose weights to correspond to int4 weight format
+  std::vector<uint8_t> B_int4_data =
+      int4mm_pack_weights(mat2_size, B_quant_data.data());
+
+  IOValueRef B_int4 =
+      graph.add_input_tensor(mat2_q_size, vkapi::kQInt8, storage_type);
+  graph.copy_into_staging(
+      B_int4.staging, B_int4_data.data(), B_int4_data.size());
+
+  const int k_groups = K / group_size;
+
+  // Random scales and zeroes. Keep scales small to avoid overflow and zeroes in
+  // int4 range
+  IOValueRef scales_and_zeros =
+      graph.add_input_tensor({2, N, k_groups}, vkapi::kFloat, storage_type);
+  std::vector<float> s_data(graph.numel_of(scales_and_zeros.value));
+  const int zeros_stride = s_data.size() / 2;
+  for (size_t i = 0; i < zeros_stride; i++) {
+    s_data[i] = rand() % 100;
+    s_data[i + zeros_stride] = rand() % 16;
+  }
+
+  graph.copy_into_staging(
+      scales_and_zeros.staging, s_data.data(), s_data.size());
+
+  IOValueRef out_int4;
+
+  if (storage_type == utils::kBuffer) {
+    out_int4.value = graph.add_tensor(out_size, vkapi::kFloat, utils::kBuffer);
+  } else {
+    out_int4.value =
+        graph.add_tensor(out_size, vkapi::kFloat, utils::kChannelsPacked);
+  }
+
+  VK_GET_OP_FN("aten._weight_int4pack_mm.default")
+  (graph,
+   {A.value,
+    B_int4.value,
+    graph.add_scalar<int64_t>(group_size),
+    scales_and_zeros.value,
+    out_int4.value});
+
+  out_int4.staging = graph.set_output_tensor(out_int4.value);
+
+  // Dequantized matmul for comparison
+  IOValueRef B_deq =
+      graph.add_input_tensor(mat2_size, vkapi::kFloat, storage_type);
+  std::vector<float> B_deq_data = int4mm_dequantize_weights(
+      mat2_size, B_quant_data.data(), group_size, s_data.data());
+  graph.copy_into_staging(B_deq.staging, B_deq_data.data(), B_deq_data.size());
+
+  IOValueRef out_deq;
+  out_deq.value = graph.add_tensor(out_size, vkapi::kFloat, storage_type);
+
+  VK_GET_OP_FN("aten.mm.default")
+  (graph, {A.value, B_deq.value, out_deq.value});
+
+  out_deq.staging = graph.set_output_tensor(out_deq.value);
+
+  graph.prepare();
+  graph.encode_prepack();
+  graph.prepack();
+  graph.encode_execute();
+  graph.propagate_resize();
+  graph.execute();
+
+  // Compare outputs
+  std::vector<float> out_int4_data(graph.numel_of(out_int4.value));
+  graph.copy_from_staging(
+      out_int4.staging, out_int4_data.data(), out_int4_data.size());
+
+  std::vector<float> out_deq_data(graph.numel_of(out_deq.value));
+  graph.copy_from_staging(
+      out_deq.staging, out_deq_data.data(), out_deq_data.size());
+
+  for (int i = 0; i < out_int4_data.size(); i++) {
+    CHECK_VALUE(out_int4_data, i, out_deq_data[i]);
+  }
+}
+
+TEST(VulkanComputeGraphOpsTest, int4pack_mm_test) {
+  if (!context()->adapter_ptr()->has_full_int8_buffers_support()) {
+    GTEST_SKIP();
+  }
+
+  for (auto storage_type : {utils::kBuffer, utils::kTexture3D}) {
+    // Vector multiplication, single group per row
+    test_int4pack_mm({1, 32, 1}, 32, storage_type);
+
+    // Vector multiplication, multiple groups per row
+    test_int4pack_mm({1, 256, 1}, 64, storage_type);
+
+    // Square matrices, single group per row
+    test_int4pack_mm({32, 32, 32}, 32, storage_type);
+
+    // Irregular matrices, single group per row
+    test_int4pack_mm({37, 32, 19}, 32, storage_type);
+
+    // Irregular matrices, multiple groups per row
+    test_int4pack_mm({37, 256, 19}, 64, storage_type);
+  }
+}
diff --git a/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.glsl b/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.glsl
index c16ad5d14b..38c9befec6 100644
--- a/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.glsl
+++ b/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.glsl
@@ -26,6 +26,11 @@ layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
 layout(constant_id = 3) const int niter = 1;
 layout(constant_id = 4) const int nvec = 1;
 layout(constant_id = 5) const int local_group_size = 1;
+// The address mask works as a modulo because x % 2^n == x & (2^n - 1).
+// This will help us limit address accessing to a specific set of unique
+// addresses depending on the access size we want to measure.
+layout(constant_id = 6) const int addr_mask = 1;
+layout(constant_id = 7) const int workgroup_width = 1;
 
 $if MEMTYPE == "shared":
     shared vec4 A[nvec];
@@ -36,15 +41,7 @@ void main() {
         A[gl_LocalInvocationID[0]][0] = gl_LocalInvocationID[0];
         memoryBarrierShared();
 
-    // The address mask works as a modulo because x % 2^n == x & (2^n - 1).
-    // This will help us limit address accessing to a specific set of unique
-    // addresses depending on the access size we want to measure.
-    const int addr_mask = nvec - 1;
     vec4 sum = vec4(0);
-
-    // This is to distribute the accesses to unique addresses across the workgroups, once the
-    // size of the access excedes the workgroup width.
-    const uint workgroup_width = local_group_size * niter * ${NUNROLL};
     uint offset = (gl_WorkGroupID[0] * workgroup_width  + gl_LocalInvocationID[0]) & addr_mask;
 
     int i = 0;
diff --git a/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.glsl b/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.glsl
index d848fc0475..7ab67bd2d0 100644
--- a/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.glsl
+++ b/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.glsl
@@ -21,17 +21,14 @@ layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
 layout(constant_id = 3) const int niter = 1;
 layout(constant_id = 4) const int nvec = 1;
 layout(constant_id = 5) const int local_group_size = 1;
+// The address mask works as a modulo because x % 2^n == x & (2^n - 1).
+// This will help us limit address accessing to a specific set of unique
+// addresses depending on the access size we want to measure.
+layout(constant_id = 6) const int addr_mask = 1;
+layout(constant_id = 7) const int workgroup_width = 1;
 
 void main() {
-    // The address mask works as a modulo because x % 2^n == x & (2^n - 1).
-    // This will help us limit address accessing to a specific set of unique
-    // addresses depending on the access size we want to measure.
-    const int addr_mask = nvec - 1;
     vec4 sum = vec4(0);
-
-    // This is to distribute the accesses to unique addresses across the workgroups, once the
-    // size of the access excedes the workgroup width.
-    const uint workgroup_width = local_group_size * niter * ${NUNROLL};
     uint offset = (gl_WorkGroupID[0] * workgroup_width  + gl_LocalInvocationID[0]) & addr_mask;
 
     int i = 0;
diff --git a/backends/vulkan/tools/gpuinfo/include/architecture.h b/backends/vulkan/tools/gpuinfo/include/architecture.h
index 0d312ee87c..9af908eb17 100644
--- a/backends/vulkan/tools/gpuinfo/include/architecture.h
+++ b/backends/vulkan/tools/gpuinfo/include/architecture.h
@@ -40,7 +40,7 @@ void reg_count(const App& app) {
   uint32_t NITER;
 
   auto bench = [&](uint32_t ngrp, uint32_t nreg) {
-    StorageBuffer buffer(context(), vkapi::kFloat, 1);
+    StagingBuffer buffer(context(), vkapi::kFloat, 1);
     vkapi::PipelineBarrier pipeline_barrier{};
 
     auto shader_name = "reg_count_" + std::to_string(nreg);
@@ -164,7 +164,7 @@ void warp_size(const App& app, const bool verbose = false) {
   uint32_t NITER;
 
   auto bench = [&](uint32_t nthread) {
-    StorageBuffer out_buf(context(), vkapi::kInt, app.nthread_logic);
+    StagingBuffer out_buf(context(), vkapi::kInt, app.nthread_logic);
     vkapi::PipelineBarrier pipeline_barrier{};
 
     auto shader_name = "warp_size_physical";
@@ -224,7 +224,7 @@ void warp_size(const App& app, const bool verbose = false) {
   // doesn't depend on kernel timing, so the extra wait time doesn't lead to
   // inaccuracy.
   auto bench_sm = [&](uint32_t nthread) {
-    StorageBuffer out_buf(context(), vkapi::kInt, app.nthread_logic);
+    StagingBuffer out_buf(context(), vkapi::kInt, app.nthread_logic);
     vkapi::PipelineBarrier pipeline_barrier{};
 
     auto shader_name = "warp_size_scheduler";
@@ -242,7 +242,7 @@ void warp_size(const App& app, const bool verbose = false) {
     });
 
     std::vector<int32_t> data(app.nthread_logic);
-    copy_staging_to_ptr(out_buf, data.data(), out_buf.nbytes());
+    out_buf.copy_to(data.data(), out_buf.nbytes());
 
     if (verbose) {
       std::stringstream ss;
diff --git a/backends/vulkan/tools/gpuinfo/include/buffers.h b/backends/vulkan/tools/gpuinfo/include/buffers.h
index 8cb0da49ca..31137b11ee 100644
--- a/backends/vulkan/tools/gpuinfo/include/buffers.h
+++ b/backends/vulkan/tools/gpuinfo/include/buffers.h
@@ -35,8 +35,8 @@ void buf_cacheline_size(const App& app) {
   uint32_t NITER;
 
   auto bench = [&](int stride) {
-    StorageBuffer in_buf(context(), vkapi::kFloat, BUF_SIZE);
-    StorageBuffer out_buf(context(), vkapi::kFloat, 1);
+    StagingBuffer in_buf(context(), vkapi::kFloat, BUF_SIZE);
+    StagingBuffer out_buf(context(), vkapi::kFloat, 1);
     vkapi::PipelineBarrier pipeline_barrier{};
 
     auto shader_name = "buf_cacheline_size";
@@ -123,8 +123,17 @@ void _bandwidth(
     // Number of vectors that fit in this iteration
     const uint32_t nvec_access = access_size / VEC_SIZE;
 
-    StorageBuffer in_buf(context(), vkapi::kFloat, range / sizeof(float));
-    StorageBuffer out_buf(
+    // The address mask works as a modulo because x % 2^n == x & (2^n - 1).
+    // This will help us limit address accessing to a specific set of unique
+    // addresses depending on the access size we want to measure.
+    const uint32_t addr_mask = nvec_access - 1;
+
+    // This is to distribute the accesses to unique addresses across the
+    // workgroups, once the size of the access excedes the workgroup width.
+    const uint32_t workgroup_width = local_x * NITER * NUNROLL;
+
+    StagingBuffer in_buf(context(), vkapi::kFloat, range / sizeof(float));
+    StagingBuffer out_buf(
         context(), vkapi::kFloat, VEC_WIDTH * app.nthread_logic);
     vkapi::PipelineBarrier pipeline_barrier{};
 
@@ -136,7 +145,11 @@ void _bandwidth(
           pipeline_barrier,
           {global_x, 1, 1},
           {local_x, 1, 1},
-          {SV(NITER), SV(nvec_access), SV(local_x)},
+          {SV(NITER),
+           SV(nvec_access),
+           SV(local_x),
+           SV(addr_mask),
+           SV(workgroup_width)},
           VK_NULL_HANDLE,
           0,
           in_buf.buffer(),
diff --git a/backends/vulkan/tools/gpuinfo/include/textures.h b/backends/vulkan/tools/gpuinfo/include/textures.h
index bb8a3371a9..c9ff133f1e 100644
--- a/backends/vulkan/tools/gpuinfo/include/textures.h
+++ b/backends/vulkan/tools/gpuinfo/include/textures.h
@@ -61,7 +61,7 @@ void tex_cacheline_concurr(const App& app) {
       vTensor in_tensor =
           api::vTensor(api::context(), sizes_nchw, vkapi::kFloat);
 
-      StorageBuffer out_buf(context(), vkapi::kFloat, TEXEL_WIDTH);
+      StagingBuffer out_buf(context(), vkapi::kFloat, TEXEL_WIDTH);
 
       vkapi::PipelineBarrier pipeline_barrier{};
 
@@ -164,7 +164,16 @@ void tex_bandwidth(const App& app) {
       // Number of texels that fit in this iteration
       const uint32_t ntexel_access = access_size / VEC_SIZE;
 
-      StorageBuffer out_buf(
+      // The address mask works as a modulo because x % 2^n == x & (2^n - 1).
+      // This will help us limit address accessing to a specific set of unique
+      // addresses depending on the access size we want to measure.
+      const uint32_t addr_mask = ntexel_access - 1;
+
+      // This is to distribute the accesses to unique addresses across the
+      // workgroups, once the size of the access excedes the workgroup width.
+      const uint32_t workgroup_width = local_x * NITER * NUNROLL;
+
+      StagingBuffer out_buf(
           context(), vkapi::kFloat, VEC_WIDTH * app.nthread_logic);
       vkapi::PipelineBarrier pipeline_barrier{};
 
@@ -174,7 +183,11 @@ void tex_bandwidth(const App& app) {
             pipeline_barrier,
             {global_x, 1, 1},
             {local_x, 1, 1},
-            {SV(NITER), SV(ntexel_access), SV(local_x), SV(dim)},
+            {SV(NITER),
+             SV(ntexel_access),
+             SV(local_x),
+             SV(addr_mask),
+             SV(workgroup_width)},
             VK_NULL_HANDLE,
             0,
             in_tensor.image(),
diff --git a/backends/vulkan/vulkan_preprocess.py b/backends/vulkan/vulkan_preprocess.py
index 1865c32acd..7e85c25fae 100644
--- a/backends/vulkan/vulkan_preprocess.py
+++ b/backends/vulkan/vulkan_preprocess.py
@@ -57,7 +57,7 @@ def preprocess(  # noqa: C901
             MeanToSumDiv(),
             SpecPropPass(),
             ConstraintBasedSymShapeEvalPass(),
-            MemoryPlanningPass("greedy"),
+            MemoryPlanningPass(),
         ]
 
         new_gm = program.graph_module
diff --git a/backends/xnnpack/CMakeLists.txt b/backends/xnnpack/CMakeLists.txt
index 1ac7867f3c..98870bf0e1 100644
--- a/backends/xnnpack/CMakeLists.txt
+++ b/backends/xnnpack/CMakeLists.txt
@@ -32,6 +32,15 @@ if(NOT PYTHON_EXECUTABLE)
   resolve_python_executable()
 endif()
 
+# NB: Enabling this will serialize execution of delegate instances Keeping this
+# OFF by default to maintain existing behavior, to be revisited.
+option(EXECUTORCH_XNNPACK_SHARED_WORKSPACE
+       "Enable workspace sharing across different delegate instances" OFF
+)
+if(EXECUTORCH_XNNPACK_SHARED_WORKSPACE)
+  add_definitions(-DENABLE_XNNPACK_SHARED_WORKSPACE)
+endif()
+
 set(_common_include_directories ${EXECUTORCH_ROOT}/..)
 set(_common_compile_options -Wno-deprecated-declarations -fPIC)
 
diff --git a/backends/xnnpack/README.md b/backends/xnnpack/README.md
index 33a0bfaf30..0c3d7e1442 100644
--- a/backends/xnnpack/README.md
+++ b/backends/xnnpack/README.md
@@ -105,9 +105,10 @@ mkdir cmake-out
 cmake \
     -DCMAKE_INSTALL_PREFIX=cmake-out \
     -DCMAKE_BUILD_TYPE=Release \
+    -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
     -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
     -DEXECUTORCH_BUILD_XNNPACK=ON \
-    -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
     -DEXECUTORCH_ENABLE_LOGGING=ON \
     -DPYTHON_EXECUTABLE=python \
     -Bcmake-out .
diff --git a/backends/xnnpack/cmake/Dependencies.cmake b/backends/xnnpack/cmake/Dependencies.cmake
index 40e4e72c38..b76c54bee6 100644
--- a/backends/xnnpack/cmake/Dependencies.cmake
+++ b/backends/xnnpack/cmake/Dependencies.cmake
@@ -36,6 +36,10 @@ set(XNNPACK_ENABLE_AVXVNNI
     OFF
     CACHE BOOL ""
 )
+set(XNNPACK_ENABLE_KLEIDIAI
+    OFF
+    CACHE BOOL ""
+)
 add_subdirectory("${XNNPACK_SOURCE_DIR}")
 include_directories(SYSTEM ${XNNPACK_INCLUDE_DIR})
 list(APPEND xnnpack_third_party XNNPACK)
diff --git a/backends/xnnpack/operators/__init__.py b/backends/xnnpack/operators/__init__.py
index d25cc58d5a..b2653a5fdc 100644
--- a/backends/xnnpack/operators/__init__.py
+++ b/backends/xnnpack/operators/__init__.py
@@ -10,6 +10,7 @@
     op_add,
     op_addmm,
     op_avg_pooling2d,
+    op_bmm,
     op_cat,
     op_ceiling,
     op_clamp,
diff --git a/backends/xnnpack/operators/op_bmm.py b/backends/xnnpack/operators/op_bmm.py
new file mode 100644
index 0000000000..8c008a5554
--- /dev/null
+++ b/backends/xnnpack/operators/op_bmm.py
@@ -0,0 +1,54 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+from typing import Dict
+
+import torch
+from executorch.backends.xnnpack.operators.node_visitor import (
+    NodeVisitor,
+    register_node_visitor,
+)
+from executorch.backends.xnnpack.serialization.xnnpack_graph_schema import (
+    XNNBatchMatrixMultiply,
+    XNNGraph,
+    XNode,
+)
+from executorch.backends.xnnpack.utils.utils import get_input_node
+
+
+@register_node_visitor
+class BMMVisitor(NodeVisitor):
+    target = "aten.bmm.default"
+
+    def __init__(self, *args) -> None:
+        super().__init__(*args)
+
+    def define_node(
+        self,
+        node: torch.fx.Node,
+        xnn_graph: XNNGraph,
+        vals_to_ids: Dict[torch.fx.Node, int],
+        debug_handle: int,
+    ) -> None:
+
+        self.define_nodes_tensor_inputs_outputs(node, xnn_graph, vals_to_ids)
+
+        # input1
+        input1_id = vals_to_ids[get_input_node(node, 0)]
+
+        # input2
+        input2_id = vals_to_ids[get_input_node(node, 1)]
+
+        # output
+        output_id = vals_to_ids[node]
+
+        ser_node = XNode(
+            xnode_union=XNNBatchMatrixMultiply(
+                input1_id=input1_id, input2_id=input2_id, output_id=output_id, flags=0
+            ),
+            debug_handle=debug_handle,
+        )
+        xnn_graph.xnodes.append(ser_node)
diff --git a/backends/xnnpack/operators/op_conv2d.py b/backends/xnnpack/operators/op_conv2d.py
index 5661a9a4d3..28da480574 100644
--- a/backends/xnnpack/operators/op_conv2d.py
+++ b/backends/xnnpack/operators/op_conv2d.py
@@ -52,6 +52,9 @@ def define_node(
         )  # NHWC input
         kwargs["input1_id"] = vals_to_ids[get_input_node(node, 0)]
 
+        # filter shape for pytorch convolution is (oc, inc/groups, height, width)
+        # shape for xnnpack convolution is (oc, height, width, inc/groups), to convert
+        # to the proper shape, this is essentially a NCHW to NHWC conversion
         kernel_node = get_input_node(node, 1)
         kernel_shape = get_shape(kernel_node)
         groups = cast(int, node.args[8])
@@ -65,19 +68,13 @@ def define_node(
         is_depthwise_conv = (group_input_channels == 1) and (
             group_output_channels % group_input_channels == 0
         )
-        # filter
-        # filter shape for pytorch convolution is (oc, inc/groups, height, width)
-        # shape for xnnpack convolution is (oc, height, width, inc/groups), to convert
-        # to the proper shape, this is essentially a NCHW to NHWC conversion
-        weight_node = get_input_node(node, 1)
         weight_quant_params = QuantParams.from_weights(
-            weight_node, self._exported_program
+            kernel_node, self._exported_program
         )
-
-        fp32_static_weights = weight_node.meta["val"].dtype == torch.float16
+        fp32_static_weights = kernel_node.meta["val"].dtype == torch.float16
 
         self.define_tensor(
-            weight_node,
+            kernel_node,
             xnn_graph,
             vals_to_ids,
             convert_to_nhwc=True,
diff --git a/backends/xnnpack/operators/op_dynamic_dequantize_ops.py b/backends/xnnpack/operators/op_dynamic_dequantize_ops.py
index d47f9f479e..f8f0c54ee6 100644
--- a/backends/xnnpack/operators/op_dynamic_dequantize_ops.py
+++ b/backends/xnnpack/operators/op_dynamic_dequantize_ops.py
@@ -12,7 +12,15 @@
     register_node_visitor,
 )
 from executorch.backends.xnnpack.serialization.xnnpack_graph_schema import XNNGraph
-from executorch.backends.xnnpack.utils.utils import get_input_node
+from executorch.backends.xnnpack.utils.quant_utils import (
+    is_per_channel_group,
+    is_per_token,
+)
+from executorch.backends.xnnpack.utils.utils import (
+    check_or_raise,
+    get_input_node,
+    is_param_node,
+)
 
 
 @register_node_visitor
@@ -65,3 +73,40 @@ def define_node(
         dq_input = get_input_node(node, 0)
         if dq_input in vals_to_ids:
             vals_to_ids[node] = vals_to_ids[dq_input]
+
+
+@register_node_visitor
+class OpDequantizeAffine(NodeVisitor):
+    target = "quant.dequantize_affine.default"
+
+    def __init__(self, *args) -> None:
+        super().__init__(*args)
+
+    def define_node(
+        self,
+        node: torch.fx.Node,
+        xnn_graph: XNNGraph,
+        vals_to_ids: Dict[torch.fx.Node, int],
+        debug_handle: int,
+    ) -> None:
+        """
+        We always define dequantize affine nodes because they are always explicit
+        """
+        if is_per_channel_group(node):
+            check_or_raise(
+                is_param_node(self._exported_program, node.all_input_nodes[0]),
+                f"Expected quantize affine node with per-token semantics to be used "
+                f"in front of a weight node, but found node {node.all_input_nodes[0]}",
+            )
+            # Affine dequantize was recognized as per channel group which means that it should
+            # be skipped as this means it is used in front of a weight node
+            return
+
+        check_or_raise(
+            is_per_token(node),
+            "Expecting Affine Dequantized Op to have per-token semantics",
+        )
+        # This must be a per-token affine dequantized node, so let us serialize as such
+        dq_input = get_input_node(node, 0)
+        if dq_input in vals_to_ids:
+            vals_to_ids[node] = vals_to_ids[dq_input]
diff --git a/backends/xnnpack/operators/op_dynamic_quantize_ops.py b/backends/xnnpack/operators/op_dynamic_quantize_ops.py
index bf5f3b7b09..23047e731f 100644
--- a/backends/xnnpack/operators/op_dynamic_quantize_ops.py
+++ b/backends/xnnpack/operators/op_dynamic_quantize_ops.py
@@ -17,6 +17,10 @@
     XNNGraph,
     XNode,
 )
+from executorch.backends.xnnpack.utils.quant_utils import (
+    is_per_channel_group,
+    is_per_token,
+)
 from executorch.backends.xnnpack.utils.utils import check_or_raise, get_input_node
 
 
@@ -118,3 +122,56 @@ def define_node(
             debug_handle=debug_handle,
         )
         xnn_graph.xnodes.append(ser_node)
+
+
+@register_node_visitor
+class OpQuantizeAffine(NodeVisitor):
+    target = "quant.quantize_affine.default"
+
+    def define_node(
+        self,
+        node: torch.fx.Node,
+        xnn_graph: XNNGraph,
+        vals_to_ids: Dict[torch.fx.Node, int],
+        debug_handle: int,
+    ) -> None:
+        """
+        We always define quantize affine nodes because they are always explicit
+        """
+        if is_per_channel_group(node):
+            # Affine quantized was recognized as per channel group which means that it should
+            # be skipped as this means it is used in front of a weight node
+            return
+
+        check_or_raise(
+            is_per_token(node),
+            "Encountered affine quantized op which does not have per-token semantics",
+        )
+        # Treat this node as dynamic per-token quantization
+        q_input = get_input_node(node, 0)
+
+        # fp32 input
+        self.define_tensor(q_input, xnn_graph, vals_to_ids)
+        input_id = vals_to_ids[q_input]
+
+        # dynamic quantized output
+        input_quant_params = QuantParams.from_q_dq_node(node)
+        # qinput isn't needed for dynamically quantized nodes since it will always be
+        # the output of a convert node. Instead we set q_input to the node itself so
+        # we can extract the shape from the dq output
+        input_quant_params.q_input = node
+        input_quant_params.is_input = False
+        check_or_raise(
+            input_quant_params.is_dynamic,
+            "Internal Error, dynamically quantized node expected dynamic quantized params",
+        )
+        self.define_tensor(
+            node, xnn_graph, vals_to_ids, quant_params=input_quant_params
+        )
+        output_id = vals_to_ids[node]
+
+        ser_node = XNode(
+            xnode_union=XNNConvert(input_id=input_id, output_id=output_id, flags=0),
+            debug_handle=debug_handle,
+        )
+        xnn_graph.xnodes.append(ser_node)
diff --git a/backends/xnnpack/operators/op_prelu.py b/backends/xnnpack/operators/op_prelu.py
index 213ffdb9c5..2d3fdc2258 100644
--- a/backends/xnnpack/operators/op_prelu.py
+++ b/backends/xnnpack/operators/op_prelu.py
@@ -23,7 +23,7 @@
 
 @register_node_visitor
 class PReLUVisitor(NodeVisitor):
-    target = "aten._prelu_kernel.default"
+    target = "aten.prelu.default"
 
     def __init__(self, *args) -> None:
         super().__init__(*args)
diff --git a/backends/xnnpack/operators/op_sdpa.py b/backends/xnnpack/operators/op_sdpa.py
index 3f4149aca6..e0ec7b37b3 100644
--- a/backends/xnnpack/operators/op_sdpa.py
+++ b/backends/xnnpack/operators/op_sdpa.py
@@ -66,9 +66,12 @@ def define_node(
 
         # Hack to broadcast the scale
         q_shape = get_shape(get_input_node(node, 0))
-        scale = cast(float, node.kwargs["scale"])
+        embedding_dim = q_shape[-1]
+        scale = 1 / (embedding_dim**0.5)
+        if "scale" in node.kwargs and node.kwargs["scale"]:
+            scale = cast(float, node.kwargs["scale"])
 
-        t = torch.full((q_shape[-1],), scale, dtype=mask_dtype)
+        t = torch.full((embedding_dim,), scale, dtype=mask_dtype)
         scale_node = self.get_fake_attr("scale", t)
         self.define_tensor(
             scale_node,
diff --git a/backends/xnnpack/operators/op_skip_ops.py b/backends/xnnpack/operators/op_skip_ops.py
index d6a54c901e..6597c0568e 100644
--- a/backends/xnnpack/operators/op_skip_ops.py
+++ b/backends/xnnpack/operators/op_skip_ops.py
@@ -97,6 +97,15 @@ class OpSymSizeInt(OpSkipOps):
     target = "sym_size.int"
 
 
+@register_node_visitor
+class OpChooseQparamsAffine(OpSkipOps):
+    """
+    do nothing if node is choose_qparams_affine.default
+    """
+
+    target = "quant.choose_qparams_affine.default"
+
+
 @register_node_visitor
 class OpChooseQparamsToken(OpSkipOps):
     """
diff --git a/backends/xnnpack/operators/op_static_resize_bilinear_2d.py b/backends/xnnpack/operators/op_static_resize_bilinear_2d.py
index 96e6875078..83f3f0ea05 100644
--- a/backends/xnnpack/operators/op_static_resize_bilinear_2d.py
+++ b/backends/xnnpack/operators/op_static_resize_bilinear_2d.py
@@ -4,7 +4,7 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
-from typing import cast, Dict, List
+from typing import cast, Dict
 
 import torch
 from executorch.backends.xnnpack.operators.node_visitor import (
@@ -23,7 +23,7 @@
 
 @register_node_visitor
 class StaticResizeBilinear2DVisitor(NodeVisitor):
-    target = "aten.upsample_bilinear2d.default"
+    target = "aten.upsample_bilinear2d.vec"
 
     def __init__(self, *args) -> None:
         super().__init__(*args)
@@ -44,7 +44,7 @@ def define_node(
         # output
         output_id = vals_to_ids[node]
 
-        new_size = cast(List[int], node.args[1])
+        new_size = node.meta["val"].shape[-2:]
 
         flags = XNN_FLAG_ALIGN_CORNERS if cast(bool, node.args[2]) else 0
 
diff --git a/backends/xnnpack/operators/quant_params.py b/backends/xnnpack/operators/quant_params.py
index d60c300276..44908ac7fc 100644
--- a/backends/xnnpack/operators/quant_params.py
+++ b/backends/xnnpack/operators/quant_params.py
@@ -10,7 +10,15 @@
 
 import torch
 from executorch.backends.xnnpack.passes.tag_implicit_q_dq_pass import TagImplicitQDqPass
-from executorch.backends.xnnpack.utils.quant_utils import is_dequant, is_quant
+from executorch.backends.xnnpack.utils.quant_utils import (
+    extract_qdq_affine_op_args_for_decomposed_ops,
+    is_affine_qdq,
+    is_dequant,
+    is_dynamic_qdq,
+    is_per_channel,
+    is_per_channel_group,
+    is_quant,
+)
 from executorch.backends.xnnpack.utils.utils import (
     check_or_raise,
     get_param_tensor,
@@ -154,30 +162,18 @@ def from_q_dq_node(
         q_input = quant_node.all_input_nodes[0]
 
         # TODO: Use presence of choose_qparam node to determine if this is a dynamic quantization
-        if quant_node.target in [
-            exir_ops.edge.quantized_decomposed.quantize_per_tensor.tensor,
-            exir_ops.edge.quantized_decomposed.dequantize_per_tensor.tensor,
-            exir_ops.edge.quantized_decomposed.quantize_per_token.default,
-            exir_ops.edge.quantized_decomposed.dequantize_per_token.default,
-        ]:
+        if is_dynamic_qdq(quant_node):
             return cls._from_dynamic_input_node(quant_node)
 
-        per_channel = quant_node.target in [
-            exir_ops.edge.quantized_decomposed.quantize_per_channel.default,
-            exir_ops.edge.quantized_decomposed.dequantize_per_channel.default,
-        ]
-
-        _groupwise = False
-        if quant_node.target in [
-            exir_ops.edge.quantized_decomposed.quantize_per_channel_group.default,
-            exir_ops.edge.quantized_decomposed.dequantize_per_channel_group.default,
-        ]:
-            # This is a sub-category of per channel quantization
-            per_channel = True
-            _groupwise = True
-
-        scale = quant_node.args[1]
-        zp = quant_node.args[2]
+        per_channel = is_per_channel(quant_node)
+
+        _groupwise = is_per_channel_group(quant_node)
+        quant_node_args = quant_node.args
+        if _groupwise and is_affine_qdq(quant_node):
+            quant_node_args = extract_qdq_affine_op_args_for_decomposed_ops(quant_node)
+
+        scale = quant_node_args[1]
+        zp = quant_node_args[2]
         axis = 0
         if per_channel:
             assert isinstance(scale, torch.fx.Node) and isinstance(scale.target, str)
@@ -193,10 +189,15 @@ def _get_tensor(node):
 
             scale = _get_tensor(scale)
             zp = _get_tensor(zp)
-            axis = cast(int, quant_node.args[3])
+            axis = cast(int, quant_node_args[3])
 
             if _groupwise:
                 scale_tensor = cast(torch.Tensor, scale)
+                if scale_tensor.ndim == 1:
+                    scale_tensor = scale_tensor.reshape(-1, 1)
+                    zp = zp.reshape(-1, 1)
+                    scale = scale_tensor
+
                 assert (
                     scale_tensor.ndim == 2
                 ), "Weight scale must be 2D for per_channel_group [de]quant node, got {scale.ndim}D"
@@ -204,23 +205,23 @@ def _get_tensor(node):
 
         check_or_raise(
             bool(
-                quant_node.args[-1] != torch.uint8
-                or quant_node.args[-1] != torch.quint8
+                quant_node_args[-1] != torch.uint8
+                or quant_node_args[-1] != torch.quint8
             ),
             "XNNPACK does not support unsigned quantization",
         )
 
         if _groupwise:
-            _ = quant_node.args[-1]  # output dtype - not used
-            group_size = cast(int, quant_node.args[-2])
-            dtype = cast(torch.dtype, quant_node.args[-3])
-            qmax = cast(int, quant_node.args[-4])
-            qmin = cast(int, quant_node.args[-5])
+            _ = quant_node_args[-1]  # output dtype - not used
+            group_size = cast(int, quant_node_args[-2])
+            dtype = cast(torch.dtype, quant_node_args[-3])
+            qmax = cast(int, quant_node_args[-4])
+            qmin = cast(int, quant_node_args[-5])
         else:
             group_size = 0
-            dtype = cast(torch.dtype, quant_node.args[-1])
-            qmax = cast(int, quant_node.args[-2])
-            qmin = cast(int, quant_node.args[-3])
+            dtype = cast(torch.dtype, quant_node_args[-1])
+            qmax = cast(int, quant_node_args[-2])
+            qmin = cast(int, quant_node_args[-3])
 
         is_output = any(
             user_node.op == "output" for user_node in quant_node.users.keys()
@@ -244,26 +245,14 @@ def _get_tensor(node):
     def from_weights(
         cls, tensor_node: torch.fx.Node, ep: Optional[ExportedProgram] = None
     ) -> Optional[QuantParams]:
-        # Ignore transpose for weights
-        # TODO:T148540997 remove the t_copy/permute_copy check when convert addmm to linear
-        dq = (
-            tensor_node.all_input_nodes[0]
-            if tensor_node.target
-            in (
-                exir_ops.edge.aten.permute_copy.default,
-                exir_ops.edge.aten.t_copy.default,
-            )
-            else tensor_node
-        )
-        # check input of t_copy/permute_copy is dequant
-        if not is_dequant(dq):
+        if not is_dequant(tensor_node):
             return None
 
         # source node for quant params
-        src = dq
+        src = tensor_node
 
         # is input of dq is q?
-        dq_input = dq.all_input_nodes[0]
+        dq_input = src.all_input_nodes[0]
         if is_quant(dq_input):
             src = dq_input
 
diff --git a/backends/xnnpack/partition/TARGETS b/backends/xnnpack/partition/TARGETS
index f11695460f..bed4aa3ea4 100644
--- a/backends/xnnpack/partition/TARGETS
+++ b/backends/xnnpack/partition/TARGETS
@@ -15,6 +15,7 @@ runtime.python_library(
         ":configs",
         ":partitioner_graphs",
         "//executorch/backends/xnnpack:xnnpack_preprocess",
+        "//executorch/backends/xnnpack/partition/config:xnnpack_partitioner_configs",
         "//executorch/exir:delegate",
         "//executorch/exir:lib",
         "//executorch/exir/backend:partitioner",
diff --git a/backends/xnnpack/partition/config/TARGETS b/backends/xnnpack/partition/config/TARGETS
new file mode 100644
index 0000000000..adfbf95a72
--- /dev/null
+++ b/backends/xnnpack/partition/config/TARGETS
@@ -0,0 +1,20 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+oncall("executorch")
+
+runtime.python_library(
+    name = "xnnpack_partitioner_configs",
+    srcs = glob([
+        "*.py",
+    ]),
+    visibility = [
+        "//executorch/...",
+        "@EXECUTORCH_CLIENTS",
+    ],
+    deps = [
+        "//executorch/exir:lib",
+        "//executorch/exir/backend:partitioner",
+        "//executorch/exir/backend:utils",
+        "//executorch/exir/backend/canonical_partitioners:config_partitioner_lib",
+    ],
+)
diff --git a/backends/xnnpack/partition/config/__init__.py b/backends/xnnpack/partition/config/__init__.py
new file mode 100644
index 0000000000..ed105dc1f5
--- /dev/null
+++ b/backends/xnnpack/partition/config/__init__.py
@@ -0,0 +1,110 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+
+from typing import List, Type
+
+from executorch.backends.xnnpack.partition.config.gemm_configs import (
+    AddmmConfig,
+    ConvolutionConfig,
+    LinearConfig,
+    MMConfig,
+)
+
+from executorch.backends.xnnpack.partition.config.generic_node_configs import (
+    AbsConfig,
+    AddConfig,
+    AvgPoolingConfig,
+    BMMConfig,
+    CatConfig,
+    CeilConfig,
+    ClampConfig,
+    ConstantPadConfig,
+    DeQuantizedPerTensorConfig,
+    DivConfig,
+    FloorConfig,
+    HardswishConfig,
+    # EluConfig,
+    HardtanhConfig,
+    LeakyReLUConfig,
+    MaximumConfig,
+    MaxPool2dConfig,
+    MeanDimConfig,
+    MinimumConfig,
+    MulConfig,
+    NegConfig,
+    PermuteConfig,
+    PowConfig,
+    QuantizedPerTensorConfig,
+    ReLUConfig,
+    # SDPAConfig, TODO: D60553559: preserving SDPA for fairseq fails
+    SigmoidConfig,
+    SliceCopyConfig,
+    SoftmaxConfig,
+    SquareRootConfig,
+    SubConfig,
+    UpsampleBilinear2dConfig,
+)
+from executorch.backends.xnnpack.partition.config.node_configs import (
+    BatchNormConfig,
+    MaxDimConfig,
+    PreluConfig,
+)
+from executorch.backends.xnnpack.partition.config.quant_affine_configs import (
+    ChooseQParamsAffineConfig,
+    DeQuantizeAffineConfig,
+    QuantizeAffineConfig,
+)
+from executorch.backends.xnnpack.partition.config.xnnpack_config import (
+    XNNPartitionerConfig,
+)
+
+ALL_PARTITIONER_CONFIGS: List[Type[XNNPartitionerConfig]] = [
+    AbsConfig,
+    AddConfig,
+    AddmmConfig,
+    AvgPoolingConfig,
+    BatchNormConfig,
+    BMMConfig,
+    CatConfig,
+    CeilConfig,
+    ConstantPadConfig,
+    ConvolutionConfig,
+    ClampConfig,
+    DivConfig,
+    # EluConfig, # Waiting for PyTorch Pin Update
+    FloorConfig,
+    HardtanhConfig,
+    HardswishConfig,
+    LeakyReLUConfig,
+    LinearConfig,
+    MaxDimConfig,
+    MaximumConfig,
+    MaxPool2dConfig,
+    MeanDimConfig,
+    MinimumConfig,
+    MMConfig,
+    MulConfig,
+    NegConfig,
+    PermuteConfig,
+    PowConfig,
+    PreluConfig,
+    ReLUConfig,
+    # SDPAConfig, TODO: D60553559: preserving SDPA for fairseq fails
+    SigmoidConfig,
+    SliceCopyConfig,
+    SoftmaxConfig,
+    SquareRootConfig,
+    SubConfig,
+    UpsampleBilinear2dConfig,
+    # Quant/Dequant Op Configs
+    QuantizedPerTensorConfig,
+    DeQuantizedPerTensorConfig,
+    # Quant Affine Configs to preserve decomp
+    QuantizeAffineConfig,
+    DeQuantizeAffineConfig,
+    ChooseQParamsAffineConfig,
+]
diff --git a/backends/xnnpack/partition/config/gemm_configs.py b/backends/xnnpack/partition/config/gemm_configs.py
new file mode 100644
index 0000000000..cbcb14899d
--- /dev/null
+++ b/backends/xnnpack/partition/config/gemm_configs.py
@@ -0,0 +1,444 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import logging
+from itertools import chain
+from typing import cast, List, Optional, Tuple
+
+import torch
+from executorch.backends.xnnpack.partition.config.xnnpack_config import (
+    ConfigPrecisionType,
+    XNNPartitionerConfig,
+)
+from executorch.backends.xnnpack.utils.quant_utils import (
+    extract_qdq_affine_op_args_for_decomposed_ops,
+    is_affine_qdq,
+    is_dequant,
+    is_dynamic_qdq,
+    is_per_channel,
+    is_per_channel_group,
+    is_qparam,
+    is_quant,
+)
+from executorch.backends.xnnpack.utils.utils import (
+    get_input_node,
+    is_getitem,
+    is_node,
+    is_param_node,
+)
+from executorch.exir.backend.canonical_partitioners.config_partitioner import (
+    format_target_name,
+)
+from executorch.exir.backend.utils import WhyNoPartition
+from torch.export import ExportedProgram
+from torch.fx.passes.utils.source_matcher_utils import (
+    get_source_partitions,
+    SourcePartition,
+)
+
+logger = logging.getLogger(__name__)
+why = WhyNoPartition(logger=logger)
+
+
+class GEMMConfig(XNNPartitionerConfig):
+    """
+    GEMM-like ops like Convolution, Addmm, Linear, mostly behave in the same way, in which we
+    have some weight, bias, and activation node. The only difference between these types
+    of ops are that the weight, bias, and activations are in different indicies of the
+    nodes arguments, this class helps to generalize the logic needed to partition these
+    different ops
+    """
+
+    def __init__(self, weight_idx, bias_idx, act_idx, fused_acts, **kwargs):
+        super().__init__(**kwargs)
+        self.weight_idx = weight_idx
+        self.bias_idx = bias_idx
+        self.act_idx = act_idx
+        self.fused_acts = fused_acts
+
+    def check_constraints(self, node: torch.fx.Node, ep: ExportedProgram) -> bool:
+        if not self.check_common_constraints(node, ep):
+            # short circuit if we don't pass common constraints
+            return False
+
+        is_valid, _ = self.get_deps(node, ep)
+        if not is_valid:
+            why(node, "Failed to get valid dependent nodes.")
+        return is_valid
+
+    def get_node_and_deps(
+        self, node: torch.fx.Node, ep: ExportedProgram
+    ) -> List[torch.fx.Node]:
+        partition = [node]
+        _, deps = self.get_deps(node, ep)
+        partition.extend(deps)
+
+        return partition
+
+    def get_original_aten(self) -> Optional[torch._ops.OpOverload]:
+        return None
+
+    def _detect_precision(self, node: torch.fx.Node) -> ConfigPrecisionType:
+        weight = get_input_node(node, self.weight_idx)
+
+        if not is_dequant(weight):
+            return ConfigPrecisionType.FP32
+
+        activation = get_input_node(node, self.act_idx)
+        if is_dynamic_qdq(activation):
+            return ConfigPrecisionType.DYNAMIC_QUANT
+
+        return ConfigPrecisionType.STATIC_QUANT
+
+    def get_deps(
+        self,
+        node: torch.fx.Node,
+        ep: ExportedProgram,
+    ) -> Tuple[bool, List[torch.fx.Node]]:
+        """
+        Gets all dependencies for this gemm partition. Returns a tuple of
+        a bool indicating if the deps are valid and a list of all the
+        dep nodes
+        """
+        precision = self._detect_precision(node)
+        if precision not in self.supported_precision_types():
+            # detected precision but it is either disabled or not supported
+            return (False, [])
+
+        valid_bias, bias_deps = self._get_bias_deps(node, ep, precision)
+        valid_weight, weight_deps = self._get_weight_deps(node, ep, precision)
+        valid_act, act_deps = self._get_act_deps(node, ep, precision)
+        valid_output, output_deps = self._get_output_deps(node, ep, precision)
+
+        valid_deps = valid_bias and valid_weight and valid_act and valid_output
+        deps = list(chain(bias_deps, weight_deps, act_deps, output_deps))
+
+        return valid_deps, deps
+
+    def _get_weight_deps(
+        self, node: torch.fx.Node, ep: ExportedProgram, precision: ConfigPrecisionType
+    ) -> Tuple[bool, List[torch.fx.Node]]:
+        gemm_deps = []
+        if precision == ConfigPrecisionType.FP32:
+            # First find the weight
+            weight_node = get_input_node(node, self.weight_idx)
+            if not is_param_node(ep, weight_node):
+                return (False, [])  # weight must be a static param
+            gemm_deps.append(weight_node)
+
+            return (True, gemm_deps)
+        else:
+            # Quantized Weight deps
+            dequant_node = get_input_node(node, self.weight_idx)
+            if not is_dequant(dequant_node):
+                return False, []
+            gemm_deps.append(dequant_node)
+            weight = get_input_node(dequant_node, 0)
+            if not is_param_node(ep, weight):
+                return False, []
+            gemm_deps.append(weight)
+
+            if is_per_channel(dequant_node) or is_per_channel_group(dequant_node):
+                if len(dequant_node.all_input_nodes) < 2:
+                    # Expected channel quantized to have scale/zp nodes
+                    return False, []
+
+                gemm_deps.extend(dequant_node.all_input_nodes[1:3])
+            return (True, gemm_deps)
+
+    def _get_output_deps(
+        self, node: torch.fx.Node, ep: ExportedProgram, precision: ConfigPrecisionType
+    ) -> Tuple[bool, List[torch.fx.Node]]:
+        gemm_deps = []
+        if precision == ConfigPrecisionType.STATIC_QUANT:
+            # Look for fused activations and tail end quant node
+            node_users = list(node.users.keys())
+            if len(node_users) != 1:
+                # Expect quantized node to have a single output (fused act or dequant)
+                return False, []
+
+            # Check if the quantized pattern has a fused activation
+            n_output = node_users[0]
+            if (
+                n_output.op == "call_function"
+                and format_target_name(n_output.target.__name__) in self.fused_acts
+            ):
+                gemm_deps.append(n_output)
+                fused_out_users = list(n_output.users.keys())
+                if len(fused_out_users) == 1:
+                    n_output = fused_out_users[0]
+
+            if not is_quant(n_output):
+                # Expected gemm_node --> fused_act (optional) --> dequant
+                return (False, [])
+            gemm_deps.append(n_output)
+        elif precision == ConfigPrecisionType.FP32:
+            # Look for fused activations only, and partition with fp32 op
+            node_users = list(node.users.keys())
+            if len(node_users) == 1:
+                n_output = node_users[0]
+                if (
+                    n_output.op == "call_function"
+                    and format_target_name(n_output.target.__name__) in self.fused_acts
+                ):
+                    gemm_deps.append(n_output)
+
+        # FP32 and Dynamic Quant have no output dependencies
+        return (True, gemm_deps)
+
+    def _get_bias_deps(
+        self, node: torch.fx.Node, ep: ExportedProgram, precision: ConfigPrecisionType
+    ) -> Tuple[bool, List[torch.fx.Node]]:
+        gemm_deps = []
+        if len(node.all_input_nodes) > 2 and self.bias_idx:
+            bias_node = get_input_node(node, self.bias_idx)
+            if bias_node:
+                if not is_param_node(ep, bias_node):
+                    return (False, [])  # bias node must be a static param
+                gemm_deps.append(bias_node)
+
+        return (True, gemm_deps)
+
+    def _get_act_deps(
+        self, node: torch.fx.Node, ep: ExportedProgram, precision: ConfigPrecisionType
+    ) -> Tuple[bool, List[torch.fx.Node]]:
+        gemm_deps = []
+        if precision == ConfigPrecisionType.FP32:
+            return (True, [])
+        else:
+            dq_input = get_input_node(node, self.act_idx)
+            if not is_dequant(dq_input):
+                # Expected static quant input to be dequant node
+                return False, []
+            gemm_deps.append(dq_input)
+            if precision == ConfigPrecisionType.STATIC_QUANT:
+                # if static quant we are done after finding first dq_input
+                return (True, gemm_deps)
+
+            # q input node
+            q_input = get_input_node(dq_input, 0)
+            if not is_quant(q_input):
+                return (False, [])
+
+            gemm_deps.append(q_input)
+            q_input_args = q_input.args
+            if is_affine_qdq(q_input):
+                q_input_args = extract_qdq_affine_op_args_for_decomposed_ops(q_input)
+            if not (is_node(q_input_args[1]) and is_node(q_input_args[2])):
+                # expected to find getitem node from choose qparam
+                return (False, [])
+
+            getitem1 = q_input_args[1]
+            getitem2 = q_input_args[2]
+
+            if not (is_getitem(getitem1) and is_getitem(getitem2)):
+                # expected getitem node from choose qparam
+                return (False, [])
+
+            gemm_deps.extend([getitem1, getitem2])
+            choose_qparam = get_input_node(getitem1, 0)
+            if not is_qparam(choose_qparam):
+                # expected to find choose_qparam node
+                return (False, [])
+            gemm_deps.append(choose_qparam)
+            return (True, gemm_deps)
+
+
+class LinearConfig(GEMMConfig):
+    target_name = "linear.default"
+
+    def __init__(self, **kwargs):
+        super().__init__(
+            weight_idx=1,
+            bias_idx=2,
+            act_idx=0,
+            fused_acts=["relu.default", "hardtanh.default"],
+            **kwargs,
+        )
+
+    def get_original_aten(self) -> Optional[torch._ops.OpOverload]:
+        return torch.ops.aten.linear.default
+
+    def _get_weight_deps(
+        self, node: torch.fx.Node, ep: ExportedProgram, precision: ConfigPrecisionType
+    ) -> Tuple[bool, List[torch.fx.Node]]:
+        if precision == ConfigPrecisionType.FP32 and self.force_fp32_dynamic_linear:
+            # if force fp32_dynamic_linear is on and we detected this as fp32, then we
+            # do not partition the weight node
+            return (True, [])
+
+        return super()._get_weight_deps(node, ep, precision)
+
+    def supported_precision_types(self):
+        return [
+            ConfigPrecisionType.DYNAMIC_QUANT,
+            ConfigPrecisionType.FP32,
+            ConfigPrecisionType.STATIC_QUANT,
+        ]
+
+
+class ConvolutionConfig(GEMMConfig):
+    target_name = "convolution.default"
+
+    def __init__(self, **kwargs):
+        super().__init__(
+            weight_idx=1,
+            bias_idx=2,
+            act_idx=0,
+            fused_acts=["relu.default", "hardtanh.default"],
+            **kwargs,
+        )
+
+    def check_constraints(self, node: torch.fx.Node, ep: ExportedProgram) -> bool:
+        """
+        Currently we have no support for convolution 3d and transposed convolution
+        """
+        if not super().check_constraints(node, ep):
+            return False
+
+        conv_stride = cast(List[int], node.args[3])
+        if len(conv_stride) > 2:
+            why(node, "Only support 1D + 2D Conv")
+            return False  # Only support 1D + 2D Conv
+
+        transposed = cast(bool, node.args[6])
+        if transposed:
+            why(node, "Transposed Conv is not supported")
+            return False  # Currently don't support transposed conv
+
+        return True
+
+    def supported_precision_types(self):
+        return [
+            ConfigPrecisionType.FP32,
+            ConfigPrecisionType.STATIC_QUANT,
+        ]
+
+
+class AddmmConfig(GEMMConfig):
+    """
+    We will handle the legacy form of addmm partitioning which will include
+    partitioning using source partitions.
+    """
+
+    target_name = "addmm.default"
+
+    def __init__(self, **kwargs):
+        super().__init__(
+            weight_idx=2,
+            bias_idx=0,
+            act_idx=1,
+            fused_acts=["relu.default", "hardtanh.default"],
+            **kwargs,
+        )
+        self.src_partitions = None
+        self.linear_modules = [torch.nn.functional.linear, torch.nn.Linear]
+
+    def get_deps(
+        self,
+        node: torch.fx.Node,
+        ep: ExportedProgram,
+    ) -> Tuple[bool, List[torch.fx.Node]]:
+        """
+        Gets all dependencies for this gemm partition. Returns a tuple of
+        a bool indicating if the deps are valid and a list of all the
+        dep nodes. This handles the src partition for
+        """
+        if self.src_partitions is None:
+            # Cache src partitions so we don't have to recompute them every time
+            self.src_partitions = get_source_partitions(ep.graph, self.linear_modules)
+
+        # src_partition is None if node is not in source partition,
+        # otherwise gives us the linear source partition it belongs to
+        src_partition = None
+        for partition_list in self.src_partitions.values():
+            for partition in partition_list:
+                if node in partition.nodes:
+                    src_partition = partition
+
+        if src_partition:
+            # if addmm belongs to linear src partition, then partition the
+            # src partition and get its deps
+            return self.get_deps_from_src_partition(node, ep, src_partition)
+
+        return super().get_deps(node, ep)
+
+    def get_deps_from_src_partition(
+        self, node: torch.fx.Node, ep: ExportedProgram, src_partition: SourcePartition
+    ):
+        """
+        Gets all the dependencies for the src partition. This is done by simulating the
+        linear node from the src partition. We find the associated weights, act, bias
+        from the linear src partition, and plug those in as the addmm node's args. We also
+        take the users of the src partitions output node as the addmm node's users. Finally
+        we just run the GEMMConfig's get_deps method no this faked linear node. After
+        getting the deps, we return the addmm nodes users and args back.
+        """
+
+        def find_partition_args(input_node):
+            while (
+                len(input_node.all_input_nodes) != 0
+                and input_node not in src_partition.input_nodes
+            ):
+                input_node = input_node.all_input_nodes[0]
+            return input_node
+
+        old_args, old_users = node.args, node.users
+
+        fake_args = []
+        for arg in node.args:
+            # map addmm's args to the source partition's inputs
+            # basically simulating what the args of the linear node would be
+            fake_args.append(find_partition_args(arg))
+
+        # validate source partition
+        if (
+            # bias must be in source partition
+            (self.bias_idx and fake_args[self.bias_idx] not in src_partition.nodes)
+            # activation input must be an input node to partition
+            or fake_args[self.act_idx] not in src_partition.input_nodes
+            # weight can either be in the nodes or input_nodes
+            or fake_args[self.weight_idx]
+            not in (src_partition.nodes + src_partition.input_nodes)
+            # there can only be a single output node in partition
+            or len(src_partition.output_nodes) != 1
+        ):
+            return (False, [])
+
+        # map addmm's args to the source partition linear's inputs and users
+        node.args = tuple(fake_args)
+        node.users = src_partition.output_nodes[0].users
+        valid_deps, deps = super().get_deps(node, ep)
+
+        # Reset addmm node back to old args and users
+        node.args = old_args
+        node.users = old_users
+
+        return valid_deps, list(set(deps) | set(src_partition.nodes))
+
+    def supported_precision_types(self):
+        return [
+            ConfigPrecisionType.FP32,
+            ConfigPrecisionType.STATIC_QUANT,
+            ConfigPrecisionType.DYNAMIC_QUANT,
+        ]
+
+
+class MMConfig(AddmmConfig):
+    target_name = "mm.default"
+
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+        self.bias_idx = None
+        self.weight_idx = 1
+        self.act_idx = 0
+
+    def supported_precision_types(self):
+        return [
+            ConfigPrecisionType.FP32,
+            ConfigPrecisionType.STATIC_QUANT,
+            ConfigPrecisionType.DYNAMIC_QUANT,
+        ]
diff --git a/backends/xnnpack/partition/config/generic_node_configs.py b/backends/xnnpack/partition/config/generic_node_configs.py
new file mode 100644
index 0000000000..b95d7c5b89
--- /dev/null
+++ b/backends/xnnpack/partition/config/generic_node_configs.py
@@ -0,0 +1,512 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import logging
+from typing import cast, List, Optional
+
+import torch
+from executorch.backends.xnnpack.partition.config.xnnpack_config import (
+    ConfigPrecisionType,
+    XNNPartitionerConfig,
+)
+from executorch.backends.xnnpack.utils.quant_utils import is_dequant, is_quant
+from executorch.backends.xnnpack.utils.utils import get_input_node
+from executorch.exir.backend.canonical_partitioners.config_partitioner import (
+    format_target_name,
+)
+from executorch.exir.backend.utils import WhyNoPartition
+from torch.export import ExportedProgram
+
+logger = logging.getLogger(__name__)
+why = WhyNoPartition(logger=logger)
+
+
+class GenericNodePartitionerConfig(XNNPartitionerConfig):
+    def __init__(self, fused_act: Optional[List[str]] = None, **kwargs):
+        """
+        fused_act is a list of node target names that can be fused with this
+        node under quantization
+        """
+        self.fused_acts = fused_act or []
+        super().__init__(**kwargs)
+
+    def check_constraints(self, node: torch.fx.Node, ep: ExportedProgram) -> bool:
+        return self.check_common_constraints(node, ep)
+
+    def get_node_and_deps(
+        self, node: torch.fx.Node, ep: ExportedProgram
+    ) -> List[torch.fx.Node]:
+        deps = [node]
+        quantized_deps = []
+        if ConfigPrecisionType.STATIC_QUANT in self.enabled_precision_types:
+            # try to partition dequant inputs and quant outputs if static quant is enabled
+            if [(is_dequant(dq_input)) for dq_input in node.all_input_nodes].count(
+                False
+            ):
+                # if not all inputs are dequant nodes then it isn't quantized
+                return deps
+
+            quantized_deps.extend(node.all_input_nodes)
+
+            # check if quantized pattern has fused activation
+            if len(node.users) != 1:
+                return deps
+
+            node_output = list(node.users)[0]
+            if (
+                node_output.op == "call_function"
+                and format_target_name(node_output.target.__name__) in self.fused_acts
+            ):
+                quantized_deps.append(node_output)
+                fused_out_users = list(node_output.users.keys())
+                if len(fused_out_users) == 1:
+                    node_output = fused_out_users[0]
+
+            if not is_quant(node_output):
+                # Expected node --> fused_act (optional) --> dequant
+                return deps
+
+            quantized_deps.append(node_output)
+
+        return deps + quantized_deps
+
+
+class QuantizedPerTensorConfig(GenericNodePartitionerConfig):
+    target_name = "quantize_per_tensor.default"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.STATIC_QUANT]
+
+
+class DeQuantizedPerTensorConfig(GenericNodePartitionerConfig):
+    target_name = "dequantize_per_tensor.default"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.STATIC_QUANT]
+
+
+class HardtanhConfig(GenericNodePartitionerConfig):
+    target_name = "hardtanh.default"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32, ConfigPrecisionType.STATIC_QUANT]
+
+
+class AddConfig(GenericNodePartitionerConfig):
+    target_name = "add.Tensor"
+
+    def __init__(self, **kwargs):
+        super().__init__(fused_act=["relu.default"], **kwargs)
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32, ConfigPrecisionType.STATIC_QUANT]
+
+
+class ReLUConfig(GenericNodePartitionerConfig):
+    target_name = "relu.default"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32, ConfigPrecisionType.STATIC_QUANT]
+
+
+class AbsConfig(GenericNodePartitionerConfig):
+    target_name = "abs.default"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
+
+
+class AvgPoolingConfig(GenericNodePartitionerConfig):
+    target_name = "avg_pool2d.default"
+
+    def check_constraints(self, node: torch.fx.Node, ep: ExportedProgram) -> bool:
+        """
+        XNNPACK does not support ceil_mode = True and count_include_pad = True
+        Additionally, we only support divisor_override if divisor_override = pooling region
+        """
+        if not self.check_common_constraints(node, ep):
+            return False
+
+        args = node.args
+
+        ceil_mode = False  # default is False
+        if len(args) >= 5:
+            ceil_mode = cast(bool, args[4])
+
+        count_include_pad = True  # default is True
+        if len(args) >= 6:
+            count_include_pad = cast(bool, args[5])
+
+        kernel_size = cast(List[int], args[1])
+        pooling_region = kernel_size[0] * kernel_size[1]
+        divisor_override = pooling_region  # Default divisor is pooling_region
+        if len(args) >= 7:
+            divisor_override = cast(int, args[6])
+
+        if ceil_mode:
+            why(node, reason="ceil mode is not supported")
+            return False
+
+        if count_include_pad:
+            why(
+                node,
+                reason="zero-padding in the averaging calculation is not supported",
+            )
+            return False
+
+        if divisor_override != pooling_region:
+            why(node, reason="divisor override is not supported")
+            return False
+
+        return True
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
+
+
+class CatConfig(GenericNodePartitionerConfig):
+    target_name = "cat.default"
+
+    def check_constraints(self, node: torch.fx.Node, ep: ExportedProgram) -> bool:
+        """
+        Only support concatenation of 2 - 4 tensors
+        """
+        if not self.check_common_constraints(node, ep):
+            return False
+
+        num_tensors = len(node.all_input_nodes)
+
+        if not (num_tensors >= 2 and num_tensors <= 4):
+            why(
+                node,
+                reason=f"only support concatenation of 2 - 4 tensors, got {num_tensors} tensors",
+            )
+            return False
+
+        return True
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32, ConfigPrecisionType.STATIC_QUANT]
+
+
+class CeilConfig(GenericNodePartitionerConfig):
+    target_name = "ceil.default"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
+
+
+class ClampConfig(GenericNodePartitionerConfig):
+    target_name = "clamp.default"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32, ConfigPrecisionType.STATIC_QUANT]
+
+
+class DivConfig(GenericNodePartitionerConfig):
+    target_name = "div.Tensor"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
+
+
+class EluConfig(GenericNodePartitionerConfig):
+    target_name = "elu.default"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32, ConfigPrecisionType.STATIC_QUANT]
+
+    def get_original_aten(self) -> Optional[torch._ops.OpOverload]:
+        return torch.ops.aten.elu.default
+
+
+class SoftmaxConfig(GenericNodePartitionerConfig):
+    target_name = "_softmax.default"
+
+    def check_constraints(self, node: torch.fx.Node, ep: ExportedProgram) -> bool:
+        """
+        Check that dim is always the last dim
+        """
+        if not self.check_common_constraints(node, ep):
+            return False
+
+        dim = cast(int, node.args[1])
+        node_input = node.all_input_nodes[0]
+        tensor_dims = node_input.meta["val"].dim()
+
+        if not (dim == -1 or dim == tensor_dims - 1):
+            why(
+                node,
+                reason=f"dim must be the last dim, got dim = {dim} for tensor of rank {tensor_dims}",
+            )
+            return False
+        return True
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
+
+
+class PermuteConfig(GenericNodePartitionerConfig):
+    target_name = "permute_copy.default"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32, ConfigPrecisionType.STATIC_QUANT]
+
+
+class SigmoidConfig(GenericNodePartitionerConfig):
+    target_name = "sigmoid.default"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
+
+
+class MulConfig(GenericNodePartitionerConfig):
+    target_name = "mul.Tensor"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32, ConfigPrecisionType.STATIC_QUANT]
+
+
+class MaximumConfig(GenericNodePartitionerConfig):
+    target_name = "maximum.default"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
+
+
+class MaxPool2dConfig(GenericNodePartitionerConfig):
+    target_name = "max_pool2d.default"
+
+    def check_constraints(self, node: torch.fx.Node, ep: ExportedProgram) -> bool:
+        """
+        XNNPACK's maxpool2d does not support ceil mode
+        """
+        if not self.check_common_constraints(node, ep):
+            return False
+
+        is_ceil_mode = len(node.args) >= 6 and cast(bool, node.args[5])
+        if is_ceil_mode:
+            why(node, reason="ceil mode is not supported")
+            return False
+        return True
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32, ConfigPrecisionType.STATIC_QUANT]
+
+    def get_original_aten(self) -> Optional[torch._ops.OpOverload]:
+        return torch.ops.aten.max_pool2d.default
+
+
+class UpsampleBilinear2dConfig(GenericNodePartitionerConfig):
+    target_name = "upsample_bilinear2d.vec"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
+
+    def get_original_aten(self) -> Optional[torch._ops.OpOverload]:
+        return torch.ops.aten.upsample_bilinear2d.vec
+
+
+class FloorConfig(GenericNodePartitionerConfig):
+    target_name = "floor.default"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
+
+
+class HardswishConfig(GenericNodePartitionerConfig):
+    target_name = "hardswish.default"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
+
+
+class LeakyReLUConfig(GenericNodePartitionerConfig):
+    target_name = "leaky_relu.default"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
+
+
+class MeanDimConfig(GenericNodePartitionerConfig):
+    target_name = "mean.dim"
+
+    def check_constraints(self, node: torch.fx.Node, ep: ExportedProgram) -> bool:
+        """
+        Mean Dim currently only supports averaging 4D tensors across the innermost
+        dimensions
+        """
+        if not self.check_common_constraints(node, ep):
+            return False
+
+        dims = node.args[1]
+        output_dims = node.meta["val"].dim()
+
+        if dims not in ([-2, -1], [-1, -2]):
+            why(
+                node,
+                reason="mean.dim only supports averaging 4D tensors across the innermost dimensions",
+            )
+            return False
+
+        if output_dims != 4:
+            why(
+                node,
+                reason=f"mean.dim only supports averaging 4D tensors, got tensor of rank {output_dims}",
+            )
+            return False
+        return True
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32, ConfigPrecisionType.STATIC_QUANT]
+
+
+class MinimumConfig(GenericNodePartitionerConfig):
+    target_name = "minimum.default"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
+
+
+class NegConfig(GenericNodePartitionerConfig):
+    target_name = "neg.default"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
+
+
+class PowConfig(GenericNodePartitionerConfig):
+    target_name = "pow.Tensor_Scalar"
+
+    def check_constraints(self, node: torch.fx.Node, ep: ExportedProgram) -> bool:
+        """
+        Only support powers of two
+        """
+        if not self.check_common_constraints(node, ep):
+            return False
+
+        power = node.args[1]
+
+        if not isinstance(power, int):
+            why(node, reason=f"only support int powers, got {power}")
+            return False
+
+        if power != 2:
+            why(node, reason=f"only support power == 2, got {power}")
+            return False
+        return True
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
+
+
+class SliceCopyConfig(GenericNodePartitionerConfig):
+    target_name = "slice_copy.Tensor"
+
+    def check_constraints(self, node: torch.fx.Node, ep: ExportedProgram) -> bool:
+        """
+        Support slicing with stride = 1, no zero-dim tensors, Slice isn't supported
+        if the input or output is dynamic
+        """
+        if not self.check_common_constraints(node, ep):
+            return False
+
+        stride = 1
+        if len(node.args) > 4:
+            stride = cast(int, node.args[4])
+
+        if stride != 1:
+            return False
+
+        input_node = get_input_node(node, 0)
+        output_node = node
+
+        input_shape = list(input_node.meta["val"].shape)
+        output_shape = list(output_node.meta["val"].shape)
+
+        for dim in input_shape:
+            if not isinstance(dim, int) or dim == 0:
+                why(
+                    node,
+                    reason=f"input tensor has invalid shape, dim: {dim} of type {type(dim)}. Expecting non-zero, int values.",
+                )
+                return False
+
+        for dim in output_shape:
+            if not isinstance(dim, int) or dim == 0:
+                why(
+                    node,
+                    reason=f"output tensor has invalid shape, dim: {dim} of type {type(dim)}. Expecting non-zero, int values.",
+                )
+                return False
+
+        return True
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32, ConfigPrecisionType.STATIC_QUANT]
+
+
+class SquareRootConfig(GenericNodePartitionerConfig):
+    target_name = "sqrt.default"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
+
+
+class ConstantPadConfig(GenericNodePartitionerConfig):
+    target_name = "constant_pad_nd.default"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
+
+
+class SubConfig(GenericNodePartitionerConfig):
+    target_name = "sub.Tensor"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32, ConfigPrecisionType.STATIC_QUANT]
+
+
+class BMMConfig(GenericNodePartitionerConfig):
+    """
+    Despite being a GEMM Kernel, BMM Can be partitioned like a single node partitioner
+    because it does not perform any packing on the inputs being matrix multiplied
+    """
+
+    target_name = "bmm.default"
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
+
+
+class SDPAConfig(GenericNodePartitionerConfig):
+    target_name = "scaled_dot_product_attention.default"
+
+    def check_constraints(self, node: torch.fx.Node, ep: ExportedProgram) -> bool:
+        """
+        Requires Mask to have Rank 2
+        """
+        if not self.check_common_constraints(node, ep):
+            return False
+
+        if len(node.all_input_nodes) < 4:
+            return False
+        mask_node = node.all_input_nodes[3]
+        mask_rank = mask_node.meta["val"].dim()
+        if mask_rank != 2:
+            why(
+                node,
+                reason=f"mask must have rank 2, got mask of rank {mask_rank}",
+            )
+            return False
+
+        return True
+
+    def get_original_aten(self) -> Optional[torch._ops.OpOverload]:
+        return torch.ops.aten.scaled_dot_product_attention.default
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
diff --git a/backends/xnnpack/partition/config/node_configs.py b/backends/xnnpack/partition/config/node_configs.py
new file mode 100644
index 0000000000..2449d9d644
--- /dev/null
+++ b/backends/xnnpack/partition/config/node_configs.py
@@ -0,0 +1,150 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import logging
+import operator
+from typing import List, Optional
+
+import torch
+from executorch.backends.xnnpack.partition.config.xnnpack_config import (
+    ConfigPrecisionType,
+    XNNPartitionerConfig,
+)
+from executorch.backends.xnnpack.passes.fuse_batch_norm_with_conv import (
+    FuseBatchNormWithConvPass,
+)
+from executorch.backends.xnnpack.utils.utils import is_param_node
+from executorch.exir.backend.canonical_partitioners.config_partitioner import (
+    format_target_name,
+)
+from executorch.exir.backend.utils import WhyNoPartition
+from torch.export import ExportedProgram
+
+logger = logging.getLogger(__name__)
+why = WhyNoPartition(logger=logger)
+
+
+class BatchNormConfig(XNNPartitionerConfig):
+    target_name = "_native_batch_norm_legit_no_training.default"
+
+    def check_constraints(self, node: torch.fx.Node, ep: ExportedProgram) -> bool:
+        if not self.check_common_constraints(node, ep):
+            return False
+
+        bn = node
+        conv = node.all_input_nodes[0]
+
+        if conv.op != "call_function":
+            return False
+
+        conv_name = format_target_name(conv.target.__name__)  # pyre-ignore
+
+        if conv_name not in ["convolution.default"]:
+            why(node, f"Invalid conv target {conv_name}")
+            return False
+
+        can_fuse = FuseBatchNormWithConvPass.can_fuse(conv, bn, ep)
+        if not can_fuse:
+            why(node, "BatchNorm cannot be fused with Convolution")
+            return False
+
+        return True
+
+    def get_node_and_deps(
+        self, node: torch.fx.Node, ep: ExportedProgram
+    ) -> List[torch.fx.Node]:
+        deps = [node]
+
+        # weight, bias, running_mean, running_var
+        deps.extend(node.all_input_nodes[1:5])
+
+        # All the users of batchnorm node must be getitem ops. batchnorm
+        # returns a 3-element tuple. Each user must only access the first
+        # element of the tuple.
+        if [
+            (user.target == operator.getitem and user.args[1] == 0)
+            for user in node.users
+        ].count(False):
+            return []
+
+        deps.extend(list(node.users.keys()))
+        return deps
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
+
+
+class MaxDimConfig(XNNPartitionerConfig):
+    target_name = "max.dim"
+
+    def check_constraints(self, node: torch.fx.Node, ep: ExportedProgram) -> bool:
+        # We support max_dim as long as we don't return indices
+        supported_dtypes = {torch.float32, torch.float16, torch.int8, torch.qint8}
+        node_val = node.meta.get("val")
+        output_0 = node_val[0]
+
+        input_node = node.all_input_nodes[0]
+        if len(input_node.meta.get("val").shape) != 4:
+            why(node, f"Unsupported input rank {input_node.meta.get('val').shape}")
+            return False
+        # Don't check indicies dtype
+        if output_0.dtype not in supported_dtypes:
+            why(node, f"Unsupported output dtype {output_0.dtype}")
+            return False
+
+        max_input = node.all_input_nodes[0]
+        if max_input.meta.get("val").dtype not in supported_dtypes:
+            why(node, f"Unsupported input dtype {max_input.meta.get('val').dtype}")
+            return False
+
+        # Make sure that all users are getitems of the first output
+        for user in node.users:
+            if not (user.target == operator.getitem and user.args[1] == 0):
+                why(node, "Unsupported user of max.dim")
+                return False
+
+        return True
+
+    def get_node_and_deps(
+        self, node: torch.fx.Node, ep: ExportedProgram
+    ) -> List[torch.fx.Node]:
+        getitems = list(node.users)
+
+        return [node] + getitems
+
+    def get_original_aten(self) -> Optional[torch._ops.OpOverload]:
+        return None
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
+
+
+class PreluConfig(XNNPartitionerConfig):
+    target_name = "prelu.default"
+
+    def check_constraints(self, node: torch.fx.Node, ep: ExportedProgram) -> bool:
+        if not self.check_common_constraints(node, ep):
+            return False
+
+        weight = node.all_input_nodes[1]
+        is_param = is_param_node(ep, weight)
+        if not is_param:
+            why(node, "Prelu weight must be a parameter")
+            return False
+        return True
+
+    def get_original_aten(self) -> Optional[torch._ops.OpOverload]:
+        return torch.ops.aten.prelu.default
+
+    def get_node_and_deps(
+        self, node: torch.fx.Node, ep: ExportedProgram
+    ) -> List[torch.fx.Node]:
+        weight = node.all_input_nodes[1]
+
+        return [node, weight]
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.FP32]
diff --git a/backends/xnnpack/partition/config/quant_affine_configs.py b/backends/xnnpack/partition/config/quant_affine_configs.py
new file mode 100644
index 0000000000..d9e789104b
--- /dev/null
+++ b/backends/xnnpack/partition/config/quant_affine_configs.py
@@ -0,0 +1,65 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+from typing import List, Optional
+
+import torch
+from executorch.backends.xnnpack.partition.config.xnnpack_config import (
+    ConfigPrecisionType,
+    XNNPartitionerConfig,
+)
+from torch.export import ExportedProgram
+
+
+class QDQAffineConfigs(XNNPartitionerConfig):
+    def check_constraints(self, node: torch.fx.Node, ep: ExportedProgram) -> bool:
+        return True
+
+    def get_node_and_deps(
+        self, node: torch.fx.Node, ep: ExportedProgram
+    ) -> List[torch.fx.Node]:
+        # Do not return anything from this because we only use this to
+        # preserve the decomposition
+        return []
+
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        return [ConfigPrecisionType.DYNAMIC_QUANT]
+
+
+class QuantizeAffineConfig(QDQAffineConfigs):
+    target_name = "quantize_affine.default"
+
+    def get_original_aten(self) -> Optional[torch._ops.OpOverload]:
+        try:
+            import torchao.quantization.quant_primitives  # noqa
+
+            return torch.ops.quant.quantize_affine.default
+        except:
+            return None
+
+
+class DeQuantizeAffineConfig(QDQAffineConfigs):
+    target_name = "dequantize_affine.default"
+
+    def get_original_aten(self) -> Optional[torch._ops.OpOverload]:
+        try:
+            import torchao.quantization.quant_primitives  # noqa
+
+            return torch.ops.quant.dequantize_affine.default
+        except:
+            return None
+
+
+class ChooseQParamsAffineConfig(QDQAffineConfigs):
+    target_name = "choose_qparams_affine.default"
+
+    def get_original_aten(self) -> Optional[torch._ops.OpOverload]:
+        try:
+            import torchao.quantization.quant_primitives  # noqa
+
+            return torch.ops.quant.choose_qparams_affine.default
+        except:
+            return None
diff --git a/backends/xnnpack/partition/config/xnnpack_config.py b/backends/xnnpack/partition/config/xnnpack_config.py
new file mode 100644
index 0000000000..d261416a76
--- /dev/null
+++ b/backends/xnnpack/partition/config/xnnpack_config.py
@@ -0,0 +1,211 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import logging
+from abc import abstractmethod
+from enum import Enum
+from typing import List, Optional
+
+import torch
+from executorch.exir.backend.canonical_partitioners.config_partitioner import (
+    format_target_name,
+    PartitionerConfig,
+)
+from executorch.exir.backend.utils import WhyNoPartition
+from torch.export import ExportedProgram
+
+logger = logging.getLogger(__name__)
+why = WhyNoPartition(logger=logger)
+
+
+class ConfigPrecisionType(Enum):
+    FP32 = 1
+    STATIC_QUANT = 2
+    DYNAMIC_QUANT = 3
+
+
+class XNNPartitionerConfig(PartitionerConfig):
+    """
+    Base partitioner config for XNNPACK Partitioner Configs. Base wrapper class
+    for all XNNPACK Partitioner Configs allows us to apply control over
+    all PartitionerConfigs. XNNPACK Partitioner config also sets a property
+    for supported precision types. This allows partitioner configs to set
+    the precision types they support, and let users toggle which precision
+    types they want to enable
+    """
+
+    def __init__(self, **kwargs):
+        super().__init__()
+        self.enabled_precision_types = self.supported_precision_types()
+        # Flag used in GEMMConfig()
+        self.force_fp32_dynamic_linear = kwargs.get("force_fp32_dynamic_linear", False)
+
+    def get_partition(
+        self, node: torch.fx.Node, ep: ExportedProgram
+    ) -> List[torch.fx.Node]:
+        """
+        Overriding abstract method get_partition.
+
+        Returns the partitioned nodes from get_node_and_deps, but also labels them
+        with the name of the XNNPartitionerConfig class which return this set of nodes.
+        This enforces that all partitions returned by XNNPartitioner configs are labeled
+        with the partitioner config which returned them
+        """
+        partitioned_nodes = self.get_node_and_deps(node, ep)
+        # label partitioned nodes with the name of the partitioner config
+        for node in partitioned_nodes:
+            if "xnn_partitioner_config" in node.meta:
+                node.meta["xnn_partitioner_config"].append(self.__class__.__name__)
+            else:
+                node.meta["xnn_partitioner_config"] = [self.__class__.__name__]
+
+        return partitioned_nodes
+
+    def get_original_aten(self) -> Optional[torch._ops.OpOverload]:
+        # By default if not specified, we do not halt decomposition for those configs
+        return None
+
+    @abstractmethod
+    def supported_precision_types(self) -> List[ConfigPrecisionType]:
+        """
+        Returns the supported PrecisionType of this partitioner config
+        """
+        pass
+
+    @abstractmethod
+    def get_node_and_deps(
+        self, node: torch.fx.Node, ep: ExportedProgram
+    ) -> List[torch.fx.Node]:
+        """
+        Takes in a node and its exported program and returns a list of nodes
+        and its dependencies that need to be partitioned together
+
+        Args:
+            node: Node to be partitioned
+            ep: Exported program of the graph module
+        Returns:
+            List of nodes that can be partitioned
+        """
+        pass
+
+    def set_enabled_precision_types(
+        self, precision_types: Optional[List[ConfigPrecisionType]]
+    ):
+        """
+        Set the enabled precisions.
+
+        We take the intersection of the precision_types we wish to enable with
+        the precision types that this config supports. If enabled_precisions is empty, i.e.
+        the config does not support any of the precision types we want to enable,
+        then we will not partition nothing and return false at the common constraints
+        """
+
+        if precision_types:
+            enabled_precisions = []
+            for precision in precision_types:
+                if precision in self.supported_precision_types():
+                    enabled_precisions.append(precision)
+
+            self.enabled_precision_types = enabled_precisions
+
+    def check_common_constraints(
+        self, node: torch.fx.Node, ep: ExportedProgram
+    ) -> bool:
+        """
+        Checks common xnnpack constraints
+
+        Args:
+            node (torch.fx.Node): Node to check common constraints against
+            ep (ExportedProgram): Exported Program to check constraints against
+
+        Returns:
+            True or False whether this node is partitionable
+        """
+        assert (
+            node.op == "call_function"
+            and format_target_name(node.target.__name__)  # pyre-ignore
+            == self.target_name
+        )
+
+        if len(self.enabled_precision_types) == 0:
+            why(node, reason="not enabled precision types")
+            return False
+
+        has_valid_dtypes = self._check_node_has_valid_dtype(node)
+        if not has_valid_dtypes:
+            why(node, reason="invalid dtype")
+            return False
+
+        return True
+
+    def _check_inputs_are_valid_dtypes(self, node, valid_dtypes):
+        # Check inputs are valid dtypes
+        # Gather all args which are nodes
+        args_to_check = []
+        for arg in node.args:
+            if isinstance(arg, list) or isinstance(arg, tuple):
+                for item in arg:
+                    if isinstance(item, torch.fx.Node):
+                        args_to_check.append(item)
+
+            if isinstance(arg, torch.fx.Node):
+                args_to_check.append(arg)
+
+        for arg in args_to_check:
+            arg_val = arg.meta.get("val", None)
+
+            if arg_val is None or isinstance(arg_val, tuple):
+                continue
+
+            # Being conservative for now, UX >> Perf
+            # TODO: We need a pass to scrub these out.
+            if not isinstance(arg_val, torch.Tensor):
+                return False
+
+            # XNNPACK does not support empty tensors
+            if arg_val.numel() == 0:
+                return False
+
+            if arg_val.dtype not in valid_dtypes:
+                return False
+
+        return True
+
+    def _check_outputs_are_valid_dtypes(self, node, valid_dtypes):
+        # Check outputs are valid dtype
+        node_val = node.meta.get("val", None)
+        if node_val is None:
+            return True
+
+        if not isinstance(node_val, tuple):
+            node_val = (node_val,)
+
+        for val in node_val:
+            if not isinstance(val, torch.Tensor):
+                return False
+
+            if val.dtype not in valid_dtypes:
+                return False
+
+        return True
+
+    def _check_node_has_valid_dtype(self, node):
+        valid_dtypes = {
+            torch.float32,
+            torch.float16,
+            torch.int8,
+            torch.qint8,
+        }
+        if (
+            node.op != "placeholder"
+            and node.op != "call_function"
+            and node.op != "get_attr"
+        ):
+            return False
+
+        return self._check_inputs_are_valid_dtypes(
+            node, valid_dtypes
+        ) and self._check_outputs_are_valid_dtypes(node, valid_dtypes)
diff --git a/backends/xnnpack/partition/configs.py b/backends/xnnpack/partition/configs.py
index 46e0e3b4f0..2629695518 100644
--- a/backends/xnnpack/partition/configs.py
+++ b/backends/xnnpack/partition/configs.py
@@ -101,6 +101,8 @@
     exir_ops.edge.aten.addmm.default,  # TODO(T163877189) add constraint for addmm
 ]
 
+# This set is used to determine if an op is a supported Quantized Op. This is
+# used to determine whether a quantization op is implicit or explicit.
 SUPPORTED_IMPLICIT_Q_DQ_OP_NAMES_SET = {
     op.name()
     for op in (
@@ -108,6 +110,7 @@
         + [
             exir_ops.edge.aten._to_copy.default,
             exir_ops.edge.aten.linear.default,
+            exir_ops.edge.aten.convolution.default,
         ]
     )
 }
diff --git a/backends/xnnpack/partition/graphs/bilinear_2d.py b/backends/xnnpack/partition/graphs/bilinear_2d.py
index a971cb9244..0040439f84 100644
--- a/backends/xnnpack/partition/graphs/bilinear_2d.py
+++ b/backends/xnnpack/partition/graphs/bilinear_2d.py
@@ -37,12 +37,15 @@ def forward(self, x):
     ]
     for align_corners in [True, False]:
         for config in capture_configs:
-            edge = exir.capture(
-                bilinear2d(align_corners), sample_inputs, config
-            ).to_edge(
-                config=get_xnnpack_edge_compile_config(),
-            )
-            _bilinear2d_graphs[edge.exported_program.graph_module] = align_corners
+            for skip_dim_order_flag in [True, False]:
+                edge = exir.capture(
+                    bilinear2d(align_corners), sample_inputs, config
+                ).to_edge(
+                    config=get_xnnpack_edge_compile_config(
+                        skip_dim_order=skip_dim_order_flag
+                    )
+                )
+                _bilinear2d_graphs[edge.exported_program.graph_module] = align_corners
     return _bilinear2d_graphs
 
 
diff --git a/backends/xnnpack/partition/xnnpack_partitioner.py b/backends/xnnpack/partition/xnnpack_partitioner.py
index 6cee53b86e..700c7d1b75 100644
--- a/backends/xnnpack/partition/xnnpack_partitioner.py
+++ b/backends/xnnpack/partition/xnnpack_partitioner.py
@@ -5,1201 +5,115 @@
 # LICENSE file in the root directory of this source tree.
 
 import itertools
-import logging
-import operator
-from typing import Any, Callable, cast, Dict, List, Optional, Set, Union
-
-import torch
 
-from executorch.backends.xnnpack.partition.configs import (
-    STATIC_MODULES,
-    STATIC_OPS,
-    SUPPORTED_DYN_QUANT_LINEAR_MODULES,
-    SUPPORTED_DYN_QUANT_MODULES,
-    SUPPORTED_MODULES,
-    SUPPORTED_OPS,
-    SUPPORTED_QUANT_MODULES,
-    SUPPORTED_QUANT_OPS,
-    UNSUPPORTED_QUANT_MODULES,
-)
-from executorch.backends.xnnpack.partition.graphs import bilinear_2d, sdpa
-from executorch.backends.xnnpack.passes.fuse_batch_norm_with_conv import (
-    FuseBatchNormWithConvPass,
-)
-from executorch.backends.xnnpack.utils.quant_utils import is_dequant
-from executorch.backends.xnnpack.utils.utils import (
-    get_input_node,
-    get_source_fn,
-    is_param_node,
-)
-from executorch.backends.xnnpack.xnnpack_preprocess import XnnpackBackend
+import logging
+from typing import List, Optional, Type, Union
 
-from executorch.exir.backend.canonical_partitioners.pattern_op_partitioner import (
-    generate_partitions_from_list_of_nodes,
-    generate_pattern_op_partitions,
+from executorch.backends.xnnpack.partition.config import ALL_PARTITIONER_CONFIGS
+from executorch.backends.xnnpack.partition.config.xnnpack_config import (
+    ConfigPrecisionType,
+    XNNPartitionerConfig,
 )
-from executorch.exir.backend.compile_spec_schema import CompileSpec
 
-from executorch.exir.backend.partitioner import (
-    DelegationSpec,
-    Partitioner,
-    PartitionResult,
+from executorch.backends.xnnpack.xnnpack_preprocess import XnnpackBackend
+from executorch.exir.backend.backend_details import ExportedProgram
+from executorch.exir.backend.canonical_partitioners.config_partitioner import (
+    ConfigerationBasedPartitioner,
 )
-from executorch.exir.dialects._ops import ops as exir_ops
-from torch.export import ExportedProgram
+from executorch.exir.backend.partitioner import DelegationSpec
 from torch.fx.passes.infra.partitioner import Partition
-from torch.fx.passes.operator_support import OperatorSupportBase
-
-from torch.fx.passes.utils.source_matcher_utils import (
-    get_source_partitions,
-    SourcePartition,
-)
-
-logging.basicConfig(level=logging.INFO)
-log = logging.getLogger(__name__)
-
-# TODO - Remove asserts - partitioner shouldn't assert, just not partition that part of the graph
-
-"""
-Per op Constraints
-------------------
-
-These constraints are used to filter out nodes from a partition when specific
-conditions are not met. Indirectly, they specify constrains under which a node
-should be lowerable to XNNPACK. If a constraint is not specified here, we will
-always lower it. Nodes inside a decomposed subgraph i.e. linear subgraph will
-also get test.
 
-Interface: Callable[[torch.fx.Node], bool]
+logging.basicConfig(level=logging.WARNING)
+logger = logging.getLogger(__name__)
 
-Note: Constraint fns are shared for both module based, op support based and
-graph based (for now) partitioner implementations. Given that these stem from
-XNNPACK limitations it should be ok to share the same constraint across both.
 
-For module based partitioner - if any node fails to qualify, we discard that
-instance of the module.
-
-Don't update this global dict directly. It is updated through decorator
-`XnnpackOperatorSupport._constraint`
-"""
-_OP_SUPPORT_CONSTRAINTS = {}
-
-
-class XnnpackOperatorSupport(OperatorSupportBase):
+class XnnpackPartitioner(ConfigerationBasedPartitioner):
     def __init__(
         self,
-        ep: ExportedProgram,
-        constraints_dict: Dict[
-            Any, Callable[[torch.fx.Node], bool]
-        ] = _OP_SUPPORT_CONSTRAINTS,
-        supported_ops: Optional[List] = None,
-        unsupported_modules: Optional[List] = None,
+        configs: Optional[List[Type[XNNPartitionerConfig]]] = None,
+        config_precisions: Optional[
+            Union[ConfigPrecisionType, List[ConfigPrecisionType]]
+        ] = None,
+        per_op_mode=False,
+        verbose: bool = False,
+        **kwargs,
     ):
         """
-        @Arg constraints_dict: Dict mapping each node to a lambda function that
-             returns True if backend constraints are met for that instance of the
-             node.
-        @Arg supported_ops: List of supported operators for partitioning
-        """
-        self.unsupported_modules = unsupported_modules
-        self.supported_ops = supported_ops
-        self.constraints = constraints_dict
-        self.ep = ep
-        self.nodes_with_packed_weights = {
-            exir_ops.edge.aten.convolution.default,
-            exir_ops.edge.aten.addmm.default,
-            exir_ops.edge.aten.mm.default,
-            exir_ops.edge.aten.bmm.default,
-        }
-        assert len(self.constraints)
-
-    def _check_inputs_are_valid_dtypes(self, node, valid_dtypes):
-        # Check inputs are valid dtypes
-
-        # Gather all args which are nodes
-        args_to_check = []
-        for arg in node.args:
-            if isinstance(arg, list) or isinstance(arg, tuple):
-                for item in arg:
-                    if isinstance(item, torch.fx.Node):
-                        args_to_check.append(item)
-
-            if isinstance(arg, torch.fx.Node):
-                args_to_check.append(arg)
-
-        for arg in args_to_check:
-            arg_val = arg.meta.get("val", None)
-
-            if arg_val is None or isinstance(arg_val, tuple):
-                continue
-
-            # Being conservative for now, UX >> Perf
-            # TODO: We need a pass to scrub these out.
-            if not isinstance(arg_val, torch.Tensor):
-                return False
-
-            # XNNPACK does not support empty tensors
-            if arg_val.numel() == 0:
-                return False
-
-            if arg_val.dtype not in valid_dtypes:
-                return False
-
-        return True
-
-    def _check_outputs_are_valid_dtypes(self, node, valid_dtypes):
-        # Check outputs are valid dtype
-        node_val = node.meta.get("val", None)
-        if node_val is None:
-            return True
-
-        if not isinstance(node_val, tuple):
-            node_val = (node_val,)
-
-        for val in node_val:
-            if not isinstance(val, torch.Tensor):
-                return False
-
-            if val.dtype not in valid_dtypes:
-                return False
-
-        return True
-
-    def check_node_has_valid_dtype(self, node):
-        # max_pool2d_with_indicies returns indicies which is int64
-        # this is supportable within XNNPACK
-        if node.target in {exir_ops.edge.aten.max_pool2d_with_indices.default}:
-            return True
-
-        valid_dtypes = {
-            torch.float32,
-            torch.float16,
-            torch.int8,
-            torch.qint8,
-        }
-        if (
-            node.op != "placeholder"
-            and node.op != "call_function"
-            and node.op != "get_attr"
-        ):
-            return False
-
-        return self._check_inputs_are_valid_dtypes(
-            node, valid_dtypes
-        ) and self._check_outputs_are_valid_dtypes(node, valid_dtypes)
-
-    def check_common_constraints(self, node) -> bool:
-        has_valid_dtypes = self.check_node_has_valid_dtype(node)
-
-        return has_valid_dtypes
-
-    @staticmethod
-    def check_constraint(node, ep) -> bool:
-        """
-        This node is from a partitioned subgraph by one of the partitioners so
-        should be a valid node otherwise, let's make sure the constraint is met
-        if specified
-        """
-        return _OP_SUPPORT_CONSTRAINTS.get(node.target, lambda node, ep: True)(node, ep)
-
-    def is_node_supported(self, submodules, node: torch.fx.Node) -> bool:
-        # Parameters are supported if any of their users are supported
-        if is_param_node(self.ep, node):
-            for user in node.users.keys():
-                user_of_param = user
-                if is_dequant(user):
-                    user_of_param = list(user.users.keys())[0]
-                if (
-                    self.is_node_supported(submodules, user_of_param)
-                    and user_of_param.target in self.nodes_with_packed_weights
-                ):
-                    return True
-
-            return False
-
-        # TODO - other ops?
-        if node.op != "call_function":
-            return False
-
-        # Specifying supported ops is optional
-        if self.supported_ops and node.target not in self.supported_ops:
-            return False
-
-        return self.check_constraint(node, self.ep) and self.check_common_constraints(
-            node
-        )
-
-    @staticmethod
-    def _constraint(target):  # noqa
-        """
-        Decorator to register a constraint fn for a node
+        @verbose: if True, print out more information about the partitioner.
+            Default level is WARNING. If verbose is True, level is set to DEBUG.
         """
+        if verbose:
+            logger.setLevel(logging.DEBUG)
+            logger.debug("Verbose logging enabled for XNNPACK partitioner.")
 
-        def register(func: Callable[[torch.fx.Node, ExportedProgram], bool]):
-            """
-            Pass through registration for the constraint fn
-            """
-            _OP_SUPPORT_CONSTRAINTS[target] = func
-            return staticmethod(func)
-
-        return register
-
-    """
-    Define per op constraints functions below
+        delegation_spec = DelegationSpec(XnnpackBackend.__name__, [])
+        configs_to_use = configs or ALL_PARTITIONER_CONFIGS
+        # Can do logic and have extra args to filter/delete/select
+        # Certain configs based on user specification
+        initialized_configs = []
+        if isinstance(config_precisions, ConfigPrecisionType):
+            config_precisions = [config_precisions]
 
-    These constraint functions are staticmethods, which are registered through
-    the decorator in a global dict. And called through `check_constraint()`
-    method. These are not directly related to the class or the class instance
-    but they are logically connected.
-
-    Marked as `noqa` because Flake doesn't understand the staticmethod tag and
-    complains about self not being the first arg.
-    """
-
-    @_constraint(exir_ops.edge.aten.mean.dim)
-    def mean_dim(node: torch.fx.Node, ep: ExportedProgram) -> bool:  # noqa
-        """
-        Only select 2d cases are supported by XNNPACK
-        """
-        dims = node.args[1]
-        return dims in ([-2, -1], [-1, -2])
+        for config in configs_to_use:
+            # Config Classes given to XnnpackPartitioner should no longer be abstract
+            initialized = config(**kwargs)  #  pyre-ignore
+            initialized.set_enabled_precision_types(config_precisions)
+            initialized_configs.append(initialized)
 
-    @_constraint(exir_ops.edge.aten.max_pool2d_with_indices.default)
-    def maxpool2d_with_indices(
-        node: torch.fx.Node, ep: ExportedProgram  # noqa
-    ) -> bool:
-        """
-        Only if the first output value is consumed in the graph
-        and it is not in ceil mode
-        """
-        users = list(node.users.keys())
-        is_ceil_mode = len(node.args) >= 6 and node.args[5]
-        return (
-            True
-            if len(users) == 1
-            and users[0].target == operator.getitem
-            and users[0].args[1] == 0
-            and not is_ceil_mode
-            else False
-        )
+        # per_op_mode takes the first match from a partitioner config, any
+        # subsequent matches that overlap with the first match are not partitioned
+        self.per_op_mode = per_op_mode
+        super().__init__(delegation_spec, initialized_configs)
 
-    @_constraint(exir_ops.edge.quantized_decomposed.quantize_per_tensor.default)
-    def quant_per_tensor_default(q: torch.fx.Node, ep: ExportedProgram) -> bool:  # noqa
+    def generate_partitions(self, ep: ExportedProgram) -> List[Partition]:
         """
-        Decide if we want to pull this q node or not in the partition.
-        Given, op1 -> q -> dq -> op2
-        For node q, if op1 or op2 is good, q should be good
-        TODO: q -> op -> dq, real q not handled right now
+        generate_partitions is different if partitioner is set to per_op_mode
+        for per_op_mode we only need to generate unmerged partitions instead
+        of using the default generate_partitions method.
         """
-        if XnnpackOperatorSupport.check_constraint(q.args[0], ep):
-            return True
+        if self.per_op_mode:
+            return self.generate_per_op_partitions(ep)
         else:
-            dq = list(q.users.keys())[0]
-            op2 = list(dq.users.keys())[0]
-            return XnnpackOperatorSupport.check_constraint(op2, ep)
-
-    @_constraint(exir_ops.edge.quantized_decomposed.dequantize_per_tensor.default)
-    def dequant_per_tensor_default(
-        dq: torch.fx.Node, ep: ExportedProgram  # noqa
-    ) -> bool:
-        """
-        Decide if we want to pull this dq node or not.
-        """
-        return XnnpackOperatorSupport.check_constraint(dq.args[0], ep)
-
-    @_constraint(exir_ops.edge.quantized_decomposed.quantize_per_channel.default)
-    def quant_per_channel_default(
-        q: torch.fx.Node, ep: ExportedProgram  # noqa
-    ) -> bool:
-        return XnnpackOperatorSupport.quant_per_tensor_default(q, ep)
-
-    @_constraint(exir_ops.edge.quantized_decomposed.dequantize_per_channel.default)
-    def dequant_per_channel_default(
-        dq: torch.fx.Node, ep: ExportedProgram  # noqa
-    ) -> bool:
-        return XnnpackOperatorSupport.dequant_per_tensor_default(dq, ep)
-
-    @_constraint(exir_ops.edge.quantized_decomposed.quantize_per_tensor.tensor)
-    def quant_per_tensor_tensor(q: torch.fx.Node, ep: ExportedProgram) -> bool:  # noqa
-        return XnnpackOperatorSupport.quant_per_tensor_default(q, ep)
+            return super().generate_partitions(ep)
 
-    @_constraint(exir_ops.edge.quantized_decomposed.dequantize_per_tensor.tensor)
-    def dequant_per_tensor_tensor(
-        dq: torch.fx.Node, ep: ExportedProgram  # noqa
-    ) -> bool:
-        return XnnpackOperatorSupport.dequant_per_tensor_default(dq, ep)
-
-    @_constraint(exir_ops.edge.quantized_decomposed.choose_qparams.tensor)
-    def choose_qparams_tensor(cqp: torch.fx.Node, ep: ExportedProgram) -> bool:  # noqa
+    def generate_per_op_partitions(self, ep: ExportedProgram) -> List[Partition]:
         """
-        Given, cqp -> getitem -> q -> dq -> op2
-        Just check q, because it will check op2
+        Uses configs to generate per_op_partitions. That is no partitions are
+        merged together. All partitions (node + deps) returned by PartitionerConfigs
+        are put into their own partition.
         """
-        getitem0 = list(cqp.users.keys())[0]
-        q = list(getitem0.users.keys())[0]
-        return XnnpackOperatorSupport.check_constraint(q, ep)
-
-    @_constraint(exir_ops.edge.quantized_decomposed.dequantize_per_token.default)
-    def dequant_per_token(dq: torch.fx.Node, ep: ExportedProgram) -> bool:  # noqa
-        node = list(dq.users.keys())[0]
-        assert isinstance(node, torch.fx.Node)
-        return (
-            node.target
-            in [
-                exir_ops.edge.aten.mm.default,
-                exir_ops.edge.aten.addmm.default,
-            ]
-            or get_source_fn(node) in SUPPORTED_DYN_QUANT_LINEAR_MODULES
-        )
-
-    @_constraint(exir_ops.edge.quantized_decomposed.quantize_per_token.default)
-    def quant_per_token(q: torch.fx.Node, ep: ExportedProgram) -> bool:  # noqa
-        dq = list(q.users.keys())[0]
-        return (
-            dq.target == exir_ops.edge.quantized_decomposed.dequantize_per_token.default
-            and XnnpackOperatorSupport.dequant_per_token(dq, ep)
-        )
-
-    @_constraint(
-        exir_ops.edge.quantized_decomposed.choose_qparams_per_token_asymmetric.default
-    )
-    def choose_qparams_per_token_asymmetric(
-        cqp: torch.fx.Node, ep: ExportedProgram  # noqa
-    ) -> bool:
-        """
-        Given, cqp -> getitem -> q -> dq -> {mm, addmm}
-        Just check q, because it will check dq
-        """
-        getitem0 = list(cqp.users.keys())[0]
-        q = list(getitem0.users.keys())[0]
-        return (
-            q.target == exir_ops.edge.quantized_decomposed.quantize_per_token.default
-            and XnnpackOperatorSupport.check_constraint(q, ep)
-        )
-
-    @_constraint(
-        exir_ops.edge.quantized_decomposed.dequantize_per_channel_group.default
-    )
-    def dequant_per_channel_group_default(
-        dq: torch.fx.Node, ep: ExportedProgram  # noqa
-    ) -> bool:
-        # Currently only supported by dqlinear weights
-        permute_node = list(dq.users.keys())[0]
-        assert isinstance(permute_node, torch.fx.Node)
-        # We must have a transpose on [add]mm weights
-        if permute_node.target != exir_ops.edge.aten.permute_copy.default:
-            return False
-        mm_node = list(permute_node.users.keys())[0]
-        assert isinstance(mm_node, torch.fx.Node)
-        return mm_node.target in [
-            exir_ops.edge.aten.mm.default,
-            exir_ops.edge.aten.addmm.default,
-        ]
-
-    @_constraint(exir_ops.edge.quantized_decomposed.quantize_per_channel_group.default)
-    def quant_per_channel_group_default(
-        q: torch.fx.Node, ep: ExportedProgram  # noqa
-    ) -> bool:
-        # we shouldn't have this with folded quant weights but doesn't hurt to lower it
-        dq = list(q.users.keys())[0]
-        assert isinstance(dq, torch.fx.Node)
-        return (
-            dq.target
-            == exir_ops.edge.quantized_decomposed.dequantize_per_channel_group.default
-            and XnnpackOperatorSupport.dequant_per_channel_default(dq, ep)
-        )
-
-    @_constraint(exir_ops.edge.aten.pow.Tensor_Scalar)
-    def pow_tensor_scalar(node: torch.fx.Node, ep: ExportedProgram) -> bool:  # noqa
-        """
-        Only supports square, when args_2 = 2
-        """
-        power = node.args[1]
-        return isinstance(power, int) and power == 2
-
-    @_constraint(exir_ops.edge.aten.avg_pool2d.default)
-    def avg_pool_2d(node: torch.fx.Node, ep: ExportedProgram) -> bool:  # noqa
-        """
-        Arguments to avg_pool2d.default node are as follows:
-            - input,
-            - kernel_size,
-            - stride,
-            - padding,
-            - ceil_mode,
-            - count_include_pad,
-            - divisor_override,
-
-        XNNPACK does not support ceil_mode = True and count_include_pad = True
-        Additionally, we only support divisor_override if divisor_override = pooling region
-        """
-        args = node.args
-
-        ceil_mode = False  # default is False
-        if len(args) >= 5:
-            ceil_mode = cast(bool, args[4])
-
-        count_include_pad = True  # default is True
-        if len(args) >= 6:
-            count_include_pad = cast(bool, args[5])
-
-        kernel_size = cast(List[int], args[1])
-        pooling_region = kernel_size[0] * kernel_size[1]
-        divisor_override = pooling_region  # Default divisor is pooling_region
-        if len(args) >= 7:
-            divisor_override = cast(int, args[6])
-
-        return (
-            not (ceil_mode or count_include_pad) and divisor_override == pooling_region
-        )
-
-    @_constraint(exir_ops.edge.aten._prelu_kernel.default)
-    def prelu(node: torch.fx.Node, ep: ExportedProgram) -> bool:  # noqa
-        """
-        Input and Weight must be 4-dimensional
-        """
-        input_dim = cast(torch.fx.Node, node.args[0]).meta["val"].dim()
-        weight_dim = cast(torch.fx.Node, node.args[1]).meta["val"].dim()
-        return input_dim == 4 and weight_dim == 4
-
-    @_constraint(exir_ops.edge.aten.cat.default)
-    def cat(node: torch.fx.Node, ep: ExportedProgram) -> bool:  # noqa
-        """
-        Only support concatenation of 2 - 4 tensors
-        """
-        num_tensors = len(cast(List[torch.fx.Node], node.args[0]))
-        return num_tensors >= 2 and num_tensors <= 4
-
-    @_constraint(exir_ops.edge.aten.slice_copy.Tensor)
-    def slice_copy(node: torch.fx.Node, ep: ExportedProgram) -> bool:  # noqa
-        """
-        Support slicing with stride = 1, no zero-dim tensors
-        """
-        stride = 1
-        if len(node.args) > 4:
-            stride = cast(int, node.args[4])
-
-        if stride != 1:
-            return False
-
-        input_node = get_input_node(node, 0)
-        output_node = node
-
-        input_shape = list(input_node.meta["val"].shape)
-        output_shape = list(output_node.meta["val"].shape)
-
-        for dim in input_shape:
-            if dim == 0:
-                return False
-
-        for dim in output_shape:
-            if dim == 0:
-                return False
-
-        return True
-
-    @_constraint(exir_ops.edge.aten.amax.default)
-    def amax(node: torch.fx.Node, ep: ExportedProgram) -> bool:  # noqa
-        """
-        A: Only with keep_dim == True
-        B: Only support with dim == 2 or dim == 3
-        valid iff, A && B
-        """
-        is_keep_dim = (len(node.args) == 3) and (cast(bool, node.args[3]) is True)
-        dim_arg_val = cast(int, node.args[1])
-        return is_keep_dim and (dim_arg_val == 2 or dim_arg_val == 3)
-
-    @_constraint(exir_ops.edge.aten._native_batch_norm_legit_no_training.default)
-    def batch_norm(node: torch.fx.Node, ep: ExportedProgram) -> bool:  # noqa
-        """
-        Only support batch norms that can be fused with convolutions.
-        This will be removed once standalone batch norm is supported.
-        """
-
-        # TODO(gjcomer) Remove after standalone batch norm (T171796544).
-
-        conv_node = node.args[0]
-        assert isinstance(conv_node, torch.fx.Node)
-
-        if conv_node.target != exir_ops.edge.aten.convolution.default:
-            return False
-
-        return FuseBatchNormWithConvPass.can_fuse(conv_node, node, ep)
-
-
-class XnnpackFloatingPointPartitioner(Partitioner):
-    """
-    Module and Opname based partitioner for FP32 modules/ops listed in
-    SUPPORTED_MODULES and SUPPORTED_OPS.
-    """
-
-    def __init__(
-        self,
-        supported_modules: List[Callable] = SUPPORTED_MODULES,
-        supported_ops: Optional[List[Callable]] = SUPPORTED_OPS,
-        unsupported_modules: Optional[List[Callable]] = None,
-    ):
-        super().__init__()
-        self.supported_modules = set(supported_modules)
-        self.unsupported_modules = unsupported_modules
-        self.supported_ops = set(supported_ops or [])
-
-        self.delegation_spec = DelegationSpec(XnnpackBackend.__name__, [])
-
-    @staticmethod
-    def check_partitions(partitions: Union[dict, list]) -> bool:
-        """
-        Warn users if there aren't any matches
-
-        TODO: convert this into a stronger validation, may need a flag in
-        `to_backend()` or partitioner __init__()
-        """
-        pl = len(partitions)
-        if pl == 0:
-            log.warning("Nothing can be partitioned!")
-        else:
-            log.info(f"Found {pl} subgraphs to be partitioned.")
-        return pl != 0
-
-    def get_input_deps(  # noqa
-        self, input_nodes: List[torch.fx.Node], ep: ExportedProgram
-    ) -> List[torch.fx.Node]:
-        """
-        For each input node, walk up and pull necessary param/attr nodes in the partition
-        """
-        nodes = set()
-
-        def is_param(ep: ExportedProgram, node) -> bool:
-            return isinstance(node, torch.fx.Node) and is_param_node(ep, node)
-
-        for inp in input_nodes:
-            if is_param(ep, inp):
-                nodes.add(inp)
-
-        return list(nodes)
-
-    def get_nodes(
-        self, src_partition: SourcePartition, ep: ExportedProgram
-    ) -> List[torch.fx.Node]:
-        """
-        Return nodes from the source partition.
-
-        This is a wrapper to allow derived classes to add their own custom
-        logic to extend the src_partition nodes list.
-        """
-        return src_partition.nodes + self.get_input_deps(src_partition.input_nodes, ep)
-
-    def qualify_nodes(
-        self, input_nodes: List[torch.fx.Node], ep: ExportedProgram
-    ) -> bool:
-        """
-        Each node in the module (post decomposition) must satisfy the
-        constraints specified for XNNPACK.
-
-        Disqualify the whole module if one of the nodes fails to satisfy.
-        """
-        return all(
-            XnnpackOperatorSupport.check_constraint(node, ep) for node in input_nodes
-        )
-
-    def get_module_partitions(self, ep: ExportedProgram) -> List[List[torch.fx.Node]]:
-        """
-        Get all partitions in the torch.fx.GraphModule for the supported
-        modules.
-        """
-        graph_module = ep.graph_module
-        src_partition_dict = get_source_partitions(
-            graph_module.graph, self.supported_modules
-        )
-        all_partitions = src_partition_dict.values()
-
-        module_partitions = []
-        for src_partitions in all_partitions:
-            for src_partition in src_partitions:
-                partition_nodes = self.get_nodes(src_partition, ep)
-                if self.qualify_nodes(partition_nodes, ep):
-                    module_partitions.append(partition_nodes)
-
-        return module_partitions
-
-    def generate_partitions(self, ep: ExportedProgram) -> List[Any]:
-        """
-        Generate a list of partitions for an torch.fx.GraphModule.
-        Also pass the supported ops to match.
-        """
-        graph_module = ep.graph_module
-        matched_module_nodes = self.get_module_partitions(ep)
-        return generate_partitions_from_list_of_nodes(
-            graph_module,
-            matched_module_nodes,
-            XnnpackOperatorSupport(
-                ep=ep,
-                supported_ops=self.supported_ops,
-                unsupported_modules=self.unsupported_modules,
-            ),
-        )
-
-    def tag_nodes(self, partitions: List[Partition]) -> Dict[str, DelegationSpec]:
-        """
-        Tag each partition in the list with its delegation tag.
-        """
-        partition_tags: Dict[str, DelegationSpec] = {}
-        for partition in partitions:
-            # Add delegation tags
-            for node in partition.nodes:
-                delegation_tag = f"tag{partition.id}"
-                node.meta["delegation_tag"] = delegation_tag
-                partition_tags[delegation_tag] = self.delegation_spec
-        return partition_tags
-
-    # override
-    def partition(self, exported_program: ExportedProgram) -> PartitionResult:
-        """
-        Run the partitioner on the given graph module, then tag each partition
-        with its delegation tag (and partition id)
-        """
-        partitions = self.generate_partitions(exported_program)
-        partition_tags: Dict[str, DelegationSpec] = {}
-        if self.check_partitions(partitions):
-            partition_tags = self.tag_nodes(partitions)
-        return PartitionResult(
-            tagged_exported_program=exported_program, partition_tags=partition_tags
-        )
-
-
-# TODO: Merge XnnpackQuantizedPartitioner and XnnpackFloatingPointPartitioner
-class XnnpackQuantizedPartitioner(XnnpackFloatingPointPartitioner):
-    """
-    Module and Opname based partitioner for statically quantized modules/ops listed in SUPPORTED_QUANT_MODULES and SUPPORTED_QUANT_OPS.
-    """
-
-    _Q_OPS = [
-        exir_ops.edge.quantized_decomposed.quantize_per_tensor.default,
-        exir_ops.edge.quantized_decomposed.quantize_per_channel.default,
-        exir_ops.edge.quantized_decomposed.quantize_per_channel_group.default,
-        exir_ops.edge.quantized_decomposed.quantize_per_tensor.tensor,
-        exir_ops.edge.quantized_decomposed.quantize_per_token.default,
-    ]
-
-    _DQ_OPS = [
-        exir_ops.edge.quantized_decomposed.dequantize_per_tensor.default,
-        exir_ops.edge.quantized_decomposed.dequantize_per_channel.default,
-        exir_ops.edge.quantized_decomposed.dequantize_per_channel_group.default,
-        exir_ops.edge.quantized_decomposed.dequantize_per_tensor.tensor,
-        exir_ops.edge.quantized_decomposed.dequantize_per_token.default,
-    ]
-
-    _QPARAM_OPS = [
-        exir_ops.edge.quantized_decomposed.choose_qparams.tensor,
-        exir_ops.edge.quantized_decomposed.choose_qparams_per_token_asymmetric.default,
-    ]
-
-    _QUANT_OPS = _Q_OPS + _DQ_OPS + _QPARAM_OPS
-
-    def __init__(
-        self,
-        supported_modules=SUPPORTED_QUANT_MODULES,
-        supported_ops=SUPPORTED_QUANT_OPS,
-        unsupported_modules=UNSUPPORTED_QUANT_MODULES,
-    ):
-        supported_ops = supported_ops or []
+        partitions = []
+        matched_nodes = self.get_matched_nodes_from_configs(ep)
+        partition_id = itertools.count()
+        nodes_seen = set()
+        for match in matched_nodes:
+            match_set = set(match)
+            # We only create partitions from the first PartitionerConfig match
+            # if a subsequent partitioner match contains the same node, we do
+            # not create a partition for it
+            if match_set.isdisjoint(nodes_seen):
+                partitions.append(
+                    Partition(
+                        id=next(partition_id),
+                        nodes=match_set,
+                    )
+                )
+                nodes_seen.update(match_set)
+        return partitions
+
+
+class XnnpackDynamicallyQuantizedPartitioner(XnnpackPartitioner):
+    def __init__(self):
         super().__init__(
-            supported_modules, supported_ops + self._QUANT_OPS, unsupported_modules
-        )
-
-    def get_input_deps(  # noqa
-        self, input_nodes: List[torch.fx.Node], ep: ExportedProgram
-    ) -> List[torch.fx.Node]:
-        """
-        For each input node, walk up and pull necessary quant/attr nodes in the partition
-        """
-        nodes = set()
-
-        def is_param(ep: ExportedProgram, node) -> bool:
-            return isinstance(node, torch.fx.Node) and is_param_node(ep, node)
-
-        def is_q(ep: ExportedProgram, node) -> bool:
-            return isinstance(node, torch.fx.Node) and node.target in self._Q_OPS
-
-        def is_dq(ep: ExportedProgram, node) -> bool:
-            return isinstance(node, torch.fx.Node) and node.target in self._DQ_OPS
-
-        def is_qparam(node) -> bool:
-            return isinstance(node, torch.fx.Node) and node.target in self._QPARAM_OPS
-
-        def is_getitem(node) -> bool:
-            return (
-                isinstance(node, torch.fx.Node)
-                and node.op == "call_function"
-                and node.target == operator.getitem
-            )
-
-        for inp in input_nodes:
-            if is_dq(ep, inp):
-                dq = inp
-
-                # Possible graph we want to partition
-                #                  op(...)
-                #                     ^
-                #                     |
-                #                     dq(0,   1, 2)
-                #                        ^    ^  ^
-                #                        |    |  |
-                #                        q(0, 1, 2) # optional, only when not folded by the quantizer
-                #                          ^  ^  ^
-                #                          |  |  |
-                # parameter ---------------'  |  |
-                #                  [choose_qparams --> get_item(s)]  # optional, only with dynamic quant
-                # per_channel_zp* ------------'  |
-                # per_channel_scale* ------------'
-
-                # The dequant node
-                nodes.add(dq)
-
-                # possible per_channel scale/zp for the dequant node args{1, 2}
-                for i in [1, 2]:
-                    node = dq.args[i]
-                    if is_param(ep, node):
-                        nodes.add(node)
-
-                # is it quant or param node?
-                prod = dq.args[0]
-
-                assert is_q(ep, prod) or is_param(
-                    ep, prod
-                ), f"Expecting quant or param node as an input to a dq node, but got {prod.target} for {prod} node"
-
-                nodes.add(prod)
-
-                if is_q(ep, prod):
-                    # possible nodes for quant node args{0, 1, 2}: 0: weight, 1: scale, 2: zero_point
-                    for i in [0, 1, 2]:
-                        node = prod.args[i]  # pyre-ignore
-
-                        # possible choose_qparam
-                        if is_getitem(node) and is_qparam(node.args[0]):
-                            nodes.add(node)
-                            nodes.add(node.args[0])
-
-                        # weights or possible per_channel scale/zp for the quant node
-                        elif is_param(ep, node):
-                            nodes.add(node)
-        return list(nodes)
-
-    def get_output_deps(
-        self, output_nodes: List[torch.fx.Node], exported_program
-    ) -> List[torch.fx.Node]:
-        """
-        For each output node, check all the users and insert them into the partition if needed
-        """
-        nodes = []
-        for output in output_nodes:
-            for node in output.users:
-                if node.target in self._Q_OPS:
-                    nodes.append(node)
-                    users = list(node.users.keys())
-                    for dq_user in users:
-                        assert (
-                            dq_user.target in self._DQ_OPS
-                        ), "Expecting a dq node(s) after a q node, but got target {dq_user.target} for {dq_user} node"
-                        nodes.append(dq_user)
-        return nodes
-
-    # override
-    def get_nodes(
-        self, src_partition: SourcePartition, ep: ExportedProgram
-    ) -> List[torch.fx.Node]:  # noqa
-        """
-        Insert quantization ops into src_partition by following the input, output node.
-        """
-        return (
-            src_partition.nodes
-            + self.get_input_deps(src_partition.input_nodes, ep)
-            + self.get_output_deps(src_partition.output_nodes, ep)
-        )
-
-
-class XnnpackPartitioner(Partitioner):
-    """
-    Module and Opname based partitioner for FP32 modules/ops listed in
-    SUPPORTED_MODULES and SUPPORTED_OPS and statically quantized modules/ops listed in
-    SUPPORTED_QUANT_MODULES and SUPPORTED_QUANT_OPS.
-    """
-
-    _Q_OPS = [
-        exir_ops.edge.quantized_decomposed.quantize_per_tensor.default,
-        exir_ops.edge.quantized_decomposed.quantize_per_channel.default,
-        exir_ops.edge.quantized_decomposed.quantize_per_channel_group.default,
-        exir_ops.edge.quantized_decomposed.quantize_per_tensor.tensor,
-        exir_ops.edge.quantized_decomposed.quantize_per_token.default,
-    ]
-
-    _DQ_OPS = [
-        exir_ops.edge.quantized_decomposed.dequantize_per_tensor.default,
-        exir_ops.edge.quantized_decomposed.dequantize_per_channel.default,
-        exir_ops.edge.quantized_decomposed.quantize_per_channel_group.default,
-        exir_ops.edge.quantized_decomposed.dequantize_per_tensor.tensor,
-        exir_ops.edge.quantized_decomposed.dequantize_per_token.default,
-    ]
-
-    _QPARAM_OPS = [
-        exir_ops.edge.quantized_decomposed.choose_qparams.tensor,
-    ]
-
-    _QUANT_OPS = _Q_OPS + _DQ_OPS + _QPARAM_OPS
-
-    def __init__(
-        self,
-        *,
-        supported_modules: List[Callable] = SUPPORTED_MODULES,
-        supported_ops: Optional[List[Callable]] = SUPPORTED_OPS,
-        supported_quant_modules: List[Callable] = SUPPORTED_QUANT_MODULES,
-        supported_quant_ops: Optional[List[Callable]] = SUPPORTED_QUANT_OPS,
-        quant: Optional[bool] = None,
-        has_dynamic_shapes: bool = False,
-        _lower_recomposed_sdpa: Optional[bool] = True,
-    ):
-        super().__init__()
-        self.supported_modules = set(supported_modules)
-        self.supported_ops = set(supported_ops or [])
-        self.supported_quant_modules = set(supported_quant_modules)
-
-        supported_quant_ops = supported_quant_ops or []
-        self.supported_quant_ops = set(supported_quant_ops + self._QUANT_OPS)
-
-        self.quant = quant
-
-        # TODO(T174256335) - remove this once we have a better way to handle >2d Mask
-        self._lower_recomposed_sdpa: bool = (
-            _lower_recomposed_sdpa if _lower_recomposed_sdpa is not None else True
-        )
-
-        self.delegation_spec = DelegationSpec(XnnpackBackend.__name__, [])
-        self.partition_tags: Dict[str, DelegationSpec] = {}
-
-        self.has_dynamic_shapes = has_dynamic_shapes
-        if has_dynamic_shapes:
-            self.supported_ops = self.supported_ops - set(STATIC_OPS)
-            self.supported_modules = self.supported_modules - set(STATIC_MODULES)
-            self.supported_quant_ops = self.supported_quant_ops - set(STATIC_OPS)
-            self.supported_quant_modules = self.supported_quant_modules - set(
-                STATIC_MODULES
-            )
-
-    def get_supported_modules(self, quant: bool) -> Set[Callable]:
-        """
-        Get supported modules
-        """
-        if quant is True:
-            return self.supported_quant_modules
-        elif quant is False:
-            return self.supported_modules
-        else:
-            return self.supported_modules | self.supported_quant_modules
-
-    def get_supported_ops(self, quant: Optional[bool]) -> Set[Callable]:
-        """
-        Get supported ops
-        """
-        if quant is True:
-            return self.supported_quant_ops
-        elif quant is False:
-            return self.supported_ops
-        else:
-            return self.supported_ops | self.supported_quant_ops
-
-    @staticmethod
-    def check_partitions(partitions: Union[dict, list]) -> bool:
-        """
-        Warn users if there aren't any matches
-
-        TODO: convert this into a stronger validation, may need a flag in
-        `to_backend()` or partitioner __init__()
-        """
-        pl = len(partitions)
-        if pl == 0:
-            log.warning("Nothing can be partitioned!")
-        else:
-            log.info(f"Found {pl} subgraphs to be partitioned.")
-        return pl != 0
-
-    def get_input_deps(  # noqa
-        self, input_nodes: List[torch.fx.Node], ep: ExportedProgram
-    ) -> List[torch.fx.Node]:
-        """
-        For each input node, walk up and pull necessary quant/attr nodes in the partition
-        """
-        nodes = set()
-
-        def is_param(ep: ExportedProgram, node) -> bool:
-            return isinstance(node, torch.fx.Node) and is_param_node(ep, node)
-
-        def is_q(ep: ExportedProgram, node) -> bool:
-            return isinstance(node, torch.fx.Node) and node.target in self._Q_OPS
-
-        def is_dq(ep: ExportedProgram, node) -> bool:
-            return isinstance(node, torch.fx.Node) and node.target in self._DQ_OPS
-
-        def is_qparam(node) -> bool:
-            return isinstance(node, torch.fx.Node) and node.target in self._QPARAM_OPS
-
-        def is_getitem(node) -> bool:
-            return (
-                isinstance(node, torch.fx.Node)
-                and node.op == "call_function"
-                and node.target == operator.getitem
-            )
-
-        for inp in input_nodes:
-            if is_dq(ep, inp):
-                dq = inp
-
-                # Possible graph we want to partition
-                #                  op(...)
-                #                     ^
-                #                     |
-                #                     dq(0,   1, 2)
-                #                        ^    ^  ^
-                #                        |    |  |
-                #                        q(0, 1, 2) # optional, only when not folded by the quantizer
-                #                          ^  ^  ^
-                #                          |  |  |
-                # parameter ---------------'  |  |
-                #                  [choose_qparams --> get_item(s)]  # optional, only with dynamic quant
-                # per_channel_zp* ------------'  |
-                # per_channel_scale* ------------'
-
-                # The dequant node
-                nodes.add(dq)
-
-                # possible per_channel scale/zp for the dequant node args{1, 2}
-                for i in [1, 2]:
-                    node = dq.args[i]
-                    if is_param(ep, node):
-                        nodes.add(node)
-
-                # is it quant or param node?
-                prod = dq.args[0]
-
-                assert is_q(ep, prod) or is_param(
-                    ep, prod
-                ), f"Expecting quant or param node as an input to a dq node, but got {prod.target} for {prod} node"
-
-                nodes.add(prod)
-
-                if is_q(ep, prod):
-                    # possible nodes for quant node args{0, 1, 2}: 0: weight, 1: scale, 2: zero_point
-                    for i in [0, 1, 2]:
-                        node = prod.args[i]  # pyre-ignore
-
-                        # possible choose_qparam
-                        if is_getitem(node) and is_qparam(node.args[0]):
-                            nodes.add(node)
-                            nodes.add(node.args[0])
-
-                        # weights or possible per_channel scale/zp for the quant node
-                        elif is_param(ep, node):
-                            nodes.add(node)
-        return list(nodes)
-
-    def get_output_deps(
-        self, output_nodes: List[torch.fx.Node], ep: ExportedProgram
-    ) -> List[torch.fx.Node]:
-        """
-        For each output node, check all the users and insert them into the partition if needed
-        """
-        nodes = []
-        for output in output_nodes:
-            for node in output.users:
-                if node.target in self._Q_OPS:
-                    nodes.append(node)
-                    users = list(node.users.keys())
-                    for dq_user in users:
-                        assert (
-                            dq_user.target in self._DQ_OPS
-                        ), "Expecting a dq node(s) after a q node, but got target {dq_user.target} for {dq_user} node"
-                        nodes.append(dq_user)
-        return nodes
-
-    def get_nodes(
-        self, src_partition: SourcePartition, ep: ExportedProgram, quant: bool
-    ) -> List[torch.fx.Node]:
-        """
-        Return nodes from the source partition.
-        """
-        if quant:
-            # Insert quantization ops into src_partition by following the input, output node.
-            return (
-                src_partition.nodes
-                + self.get_input_deps(src_partition.input_nodes, ep)
-                + self.get_output_deps(src_partition.output_nodes, ep)
-            )
-        else:
-            return src_partition.nodes
-
-    def qualify_nodes(
-        self, input_nodes: List[torch.fx.Node], ep: ExportedProgram
-    ) -> bool:
-        """
-        Each node in the module (post decomposition) must satisfy the
-        constraints specified for XNNPACK.
-
-        Disqualify the whole module if one of the nodes fails to satisfy.
-        """
-        return all(
-            XnnpackOperatorSupport.check_constraint(node, ep) for node in input_nodes
-        )
-
-    def get_module_partitions(
-        self,
-        ep: ExportedProgram,
-        quant: Optional[bool],
-    ) -> List[List[torch.fx.Node]]:
-        """
-        Get all partitions in the torch.fx.GraphModule for the supported
-        modules.
-        """
-        graph_module = ep.graph_module
-        if quant is None:
-            module_partitions = self.get_module_partitions(ep, True)
-            for node_list in module_partitions:
-                for node in node_list:
-                    node.meta["quant_match"] = True
-            fp32_module_partitions = self.get_module_partitions(ep, False)
-            for node_list in fp32_module_partitions:
-                for node in node_list:
-                    if node.meta.get("quant_match", False):
-                        break
-                else:
-                    module_partitions.append(node_list)
-            for node_list in module_partitions:
-                for node in node_list:
-                    node.meta.pop("quant_match", False)
-            return module_partitions
-
-        src_partition_dict = get_source_partitions(
-            graph_module.graph, self.get_supported_modules(quant)
-        )
-        all_partitions = src_partition_dict.values()
-
-        module_partitions = []
-        for src_partitions in all_partitions:
-            for src_partition in src_partitions:
-                partition_nodes = self.get_nodes(src_partition, ep, quant)
-                if self.qualify_nodes(partition_nodes, ep):
-                    module_partitions.append(partition_nodes)
-
-        return module_partitions
-
-    def get_graph_partitions(
-        self, ep, quant: Optional[bool]
-    ) -> List[List[torch.fx.Node]]:
-        graph_module = ep.graph_module
-        graphs = bilinear_2d.get_graphs()
-
-        # Temporary for lowering SDPA
-        if self._lower_recomposed_sdpa:
-            graphs += sdpa.get_graphs()
-
-        graph_patterns = [gm_pattern.graph for gm_pattern in graphs]
-        partitions = generate_pattern_op_partitions(
-            graph_module, graph_patterns, ignore_literals=True
+            config_precisions=ConfigPrecisionType.DYNAMIC_QUANT, per_op_mode=True
         )
-        graph_partitions = []
-        for src_partition in partitions:
-            graph_partitions.append(src_partition.nodes)
 
-        return graph_partitions
 
-    def generate_partitions(
-        self, ep: ExportedProgram, quant: Optional[bool]
-    ) -> List[Any]:
-        """
-        Generate a list of partitions for an torch.fx.GraphModule.
-        Also pass the supported ops to match.
-        """
-        graph_module = ep.graph_module
-        matched_module_nodes = self.get_module_partitions(ep, quant)
-        matched_graph_nodes = self.get_graph_partitions(ep, quant)
-        return generate_partitions_from_list_of_nodes(
-            graph_module,
-            matched_module_nodes + matched_graph_nodes,
-            XnnpackOperatorSupport(
-                ep=ep, supported_ops=list(self.get_supported_ops(quant))
-            ),
-        )
+class XnnpackFloatingPointPartitioner(XnnpackPartitioner):
+    def __init__(self):
+        super().__init__(config_precisions=ConfigPrecisionType.FP32)
 
-    def tag_nodes(self, partitions: List[Partition]) -> Dict[str, DelegationSpec]:
-        """
-        Tag each partition in the list with its delegation tag.
-        """
-        partition_tags: Dict[str, DelegationSpec] = {}
-        for partition in partitions:
-            # Add delegation tags
-            skip = False
-            for node in partition.nodes:
-                if "delegation_tag" in node.meta:
-                    skip = True
-            if skip:
-                continue
-            for node in partition.nodes:
-                delegation_tag = f"tag{partition.id}"
-                node.meta["delegation_tag"] = delegation_tag
-                partition_tags[delegation_tag] = self.delegation_spec
-        return partition_tags
 
-    # override
-    def _partition(
-        self, exported_program: ExportedProgram, quant: Optional[bool]
-    ) -> PartitionResult:
-        """
-        Run the partitioner on the given graph module, then tag each partition
-        with its delegation tag (and partition id)
-        """
-        partitions = self.generate_partitions(exported_program, quant)
-        partition_tags: Dict[str, DelegationSpec] = {}
-        if self.check_partitions(partitions):
-            partition_tags = self.tag_nodes(partitions)
-        return PartitionResult(
-            tagged_exported_program=exported_program, partition_tags=partition_tags
-        )
-
-    def partition(self, exported_program: ExportedProgram) -> PartitionResult:
-        ret: PartitionResult = self._partition(exported_program, self.quant)
-        return ret
-
-
-class XnnpackDynamicallyQuantizedPartitioner(XnnpackQuantizedPartitioner):
-    def __init__(
-        self,
-        supported_modules=SUPPORTED_DYN_QUANT_MODULES,
-        supported_ops=None,  # no other ops are supported
-    ):
-        super().__init__(supported_modules, supported_ops)
-
-    # override
-    def partition(self, exported_program: ExportedProgram) -> PartitionResult:
-        """
-        Run the partitioner on the given graph module, then tag each partition with its delegegation tag (and partition id)
-
-        We don't want to use `generate_*_partitions` helpers because we don't want these modules to fuse in the same delegate.
-        """
-        partition_id = itertools.count()
-        partitions = [
-            Partition(
-                id=next(partition_id),
-                nodes=set(
-                    filter(lambda x: x.target != torch.ops.aten.sym_size.int, match)
-                ),
-            )
-            for match in self.get_module_partitions(exported_program)
-        ]
-        partition_tags: Dict[str, DelegationSpec] = {}
-        self.delegation_spec = DelegationSpec(
-            XnnpackBackend.__name__, [CompileSpec("dqlinear_partitioner", bytes())]
-        )
-
-        if self.check_partitions(partitions):
-            partition_tags = self.tag_nodes(partitions)
-        return PartitionResult(
-            tagged_exported_program=exported_program, partition_tags=partition_tags
-        )
+class XnnpackQuantizedPartitioner(XnnpackPartitioner):
+    def __init__(self):
+        super().__init__(config_precisions=ConfigPrecisionType.STATIC_QUANT)
diff --git a/backends/xnnpack/passes/TARGETS b/backends/xnnpack/passes/TARGETS
index e91614c735..6bc3742abe 100644
--- a/backends/xnnpack/passes/TARGETS
+++ b/backends/xnnpack/passes/TARGETS
@@ -30,6 +30,7 @@ python_library(
         "//executorch/exir:pass_base",
         "//executorch/exir/dialects:lib",
         "//executorch/exir/passes:const_prop_pass",
+        "//executorch/exir/passes:memory_format_ops_pass",
         "//executorch/exir/program:program",
     ],
 )
diff --git a/backends/xnnpack/passes/__init__.py b/backends/xnnpack/passes/__init__.py
index 1ca4fe307f..c3a85e4aa8 100644
--- a/backends/xnnpack/passes/__init__.py
+++ b/backends/xnnpack/passes/__init__.py
@@ -27,6 +27,7 @@
 from executorch.exir.pass_base import ExportPass
 
 from executorch.exir.passes.const_prop_pass import ConstPropPass
+from executorch.exir.passes.memory_format_ops_pass import DimOrderOpsRevertPass
 
 from executorch.exir.program._program import _transform
 from torch._export.pass_base import PassType
@@ -50,6 +51,8 @@ def __init__(
         if not passes:
             # All the XNNPACK passes
             self.passes = [
+                # TODO - remove this pass once we have a better support for dim_order ops lowering
+                DimOrderOpsRevertPass,
                 ConvertToUpsampleBilinear2d,
                 ConvertToLinearPass,
                 ConvertToSDPAPass,
diff --git a/backends/xnnpack/passes/channels_last_tagged_reshape_pass.py b/backends/xnnpack/passes/channels_last_tagged_reshape_pass.py
index 1816d6ccfc..692f1a9d14 100644
--- a/backends/xnnpack/passes/channels_last_tagged_reshape_pass.py
+++ b/backends/xnnpack/passes/channels_last_tagged_reshape_pass.py
@@ -44,13 +44,13 @@ class ChannelsLastTaggedReshapePass(XNNPACKPass):
     # Set of ops that require memory format to be channels last (NHWC)
     memory_sensitive_ops_nhwc = {
         exir_ops.edge.aten.convolution.default,
-        exir_ops.edge.aten.upsample_bilinear2d.default,
+        exir_ops.edge.aten.upsample_bilinear2d.vec,
         exir_ops.edge.aten.mean.dim,
         exir_ops.edge.aten.max_pool2d.default,
         exir_ops.edge.aten.amax.default,
         exir_ops.edge.aten.max.dim,
         exir_ops.edge.aten.avg_pool2d.default,
-        exir_ops.edge.aten._prelu_kernel.default,
+        exir_ops.edge.aten.prelu.default,
     }
 
     # Set of ops that require memory format to be NCHW
@@ -124,7 +124,7 @@ def create_call_function_node(
             "call_function",
             target=target,
             args=args,
-            kwargs=(
+            kwargs=(  # pyre-fixme[6]
                 {"memory_format": memory_format} if memory_format is not None else {}
             ),
         )
diff --git a/backends/xnnpack/passes/convert_to_linear.py b/backends/xnnpack/passes/convert_to_linear.py
index 69f882523c..2cef71bf92 100644
--- a/backends/xnnpack/passes/convert_to_linear.py
+++ b/backends/xnnpack/passes/convert_to_linear.py
@@ -13,9 +13,8 @@
 from executorch.backends.transforms.addmm_mm_to_linear import (
     apply_addmm_mm_to_linear_transform,
 )
-from executorch.backends.xnnpack.passes.xnnpack_pass import XNNPACKPass
-from executorch.backends.xnnpack.utils.utils import is_param_node
 from executorch.exir.dialects._ops import ops as exir_ops
+from executorch.exir.pass_base import ExportPass
 
 from torch.fx.passes.infra.pass_base import PassResult
 from torch.fx.passes.utils.source_matcher_utils import (
@@ -27,7 +26,7 @@
 logger.setLevel(logging.WARNING)
 
 
-class ConvertToLinearPass(XNNPACKPass):
+class ConvertToLinearPass(ExportPass):
     linear_modules = [
         torch.nn.Linear,
         torch.nn.functional.linear,
@@ -71,28 +70,24 @@ def get_arg(node: torch.fx.Node, arg: str):
             map_ = {"input": 0, "weight": 1}
             return None if arg == "bias" else node.args[map_[arg]]
 
-    def find_bias_for_mm(self, src_partition: SourcePartition, weight: torch.fx.Node):
+    def find_bias_for_mm(self, src_partition: SourcePartition, mm_node: torch.fx.Node):
         """
         For linear decomposed with mm + add, find bias in src partition
         """
-        out_channels = get_shape(weight)[0]
-        bias = None
-
-        # Try to find bias node in all nodes
-        for node in src_partition.nodes:
-            if is_param_node(self.exported_program, node) and node != weight:
-                bias = node
-
-        if bias is not None:
-            assert get_shape(bias) == [
-                out_channels
-            ], f"Expected bias shape {[out_channels]} but got {get_shape(bias)}"
-        else:
-            assert exir_ops.edge.aten.add.Tensor not in [
-                node.target for node in src_partition.nodes
-            ], f"Expecting to find bias for Linear module: {src_partition} but could not find it"
 
-        return bias
+        mm_users = list(mm_node.users.keys())
+        if len(mm_users) != 1:
+            return None
+
+        add_node = mm_users[0]
+        if add_node.target != exir_ops.edge.aten.add.Tensor:
+            return None
+
+        for arg in add_node.all_input_nodes:
+            if arg != mm_node and arg in src_partition.input_nodes:
+                return arg
+
+        return None
 
     def create_linear(
         self,
@@ -119,7 +114,7 @@ def create_linear(
             src_partition.input_nodes + src_partition.params,  # bias can be in params
         )
         if linear_bias is None and node.target == exir_ops.edge.aten.mm.default:
-            linear_bias = self.find_bias_for_mm(src_partition, linear_weight)
+            linear_bias = self.find_bias_for_mm(src_partition, node)
 
         logger.debug(f"Found bias(?): {linear_bias} from node {node}")
 
diff --git a/backends/xnnpack/passes/convert_to_sdpa.py b/backends/xnnpack/passes/convert_to_sdpa.py
index 76bb24cc94..97aca5491d 100644
--- a/backends/xnnpack/passes/convert_to_sdpa.py
+++ b/backends/xnnpack/passes/convert_to_sdpa.py
@@ -83,7 +83,7 @@ def create_sdpa(
                 kwargs={"scale": scale},
             )
 
-        sdpa_node.meta["val"] = sdpa_node.target(
+        sdpa_node.meta["val"] = sdpa_node.target(  # pyre-fixme[29]
             *[n.meta["val"] for n in match.placeholder_nodes],
             scale=scale,
         )
diff --git a/backends/xnnpack/passes/convert_to_upsample_bilinear2d.py b/backends/xnnpack/passes/convert_to_upsample_bilinear2d.py
index 065f3254ce..45956ee6f6 100644
--- a/backends/xnnpack/passes/convert_to_upsample_bilinear2d.py
+++ b/backends/xnnpack/passes/convert_to_upsample_bilinear2d.py
@@ -36,7 +36,7 @@ def create_upsample_bilinear_2d(
         with graph_module.graph.inserting_before(output):
             upsample_node = graph_module.graph.create_node(
                 "call_function",
-                exir_ops.edge.aten.upsample_bilinear2d.default,
+                exir_ops.edge.aten.upsample_bilinear2d.vec,
                 # TODO(T166527012): Using output_h and output_w here only works with static shapes
                 args=(input_node, [output_h, output_w], align_corners, None),
             )
diff --git a/backends/xnnpack/passes/tag_implicit_q_dq_pass.py b/backends/xnnpack/passes/tag_implicit_q_dq_pass.py
index 2d41429eb1..ac6ccc9b89 100644
--- a/backends/xnnpack/passes/tag_implicit_q_dq_pass.py
+++ b/backends/xnnpack/passes/tag_implicit_q_dq_pass.py
@@ -12,7 +12,11 @@
     SUPPORTED_IMPLICIT_Q_DQ_OP_NAMES_SET,
 )
 from executorch.backends.xnnpack.passes.xnnpack_pass import XNNPACKPass
-from executorch.backends.xnnpack.utils.quant_utils import is_dequant, is_quant
+from executorch.backends.xnnpack.utils.quant_utils import (
+    is_dequant,
+    is_dynamic_qdq,
+    is_quant,
+)
 from executorch.backends.xnnpack.utils.utils import is_param_node
 from executorch.exir.dialects._ops import ops as exir_ops
 from executorch.exir.pass_base import PassResult
@@ -76,18 +80,7 @@ def is_output_node(self, node: torch.fx.Node) -> bool:
         return node.op == "output"
 
     def is_dynamically_quantized(self, node: torch.fx.Node) -> bool:
-        return any(
-            is_dequant(input_node)
-            and (
-                cast(
-                    torch._ops.OpOverload, input_node.target
-                )._schema.schema.overload_name
-                == "tensor"
-                or input_node.target
-                == exir_ops.edge.quantized_decomposed.dequantize_per_token.default
-            )
-            for input_node in node.all_input_nodes
-        )
+        return is_dynamic_qdq(node)
 
     def is_supported_quant_op(self, node: torch.fx.Node) -> bool:
         return (
@@ -139,10 +132,8 @@ def get_ending_implicit_q_nodes(
             ):
                 return [next_node]
         elif self.is_output_node(next_node):
-            # Check if second_node (which is between dq and output nodes)
-            # is aten.linear.default
-            if self.is_dynamically_quantized(start_node):
-                return []
+            # if node following dq is output node
+            return None
         else:
             # Check if nodes between the dq node and the next q match
             # a supported quant chain
@@ -193,6 +184,9 @@ def call(self, graph_module: torch.fx.GraphModule) -> PassResult:
 
             ending_implicit_q_nodes = []
             for user in first_node.users:
+                if self.is_dynamically_quantized(first_node):
+                    # if the dq is a dynamic dq, then it is implicit
+                    break
                 user_end_nodes = self.get_ending_implicit_q_nodes(user)
                 if user_end_nodes is None:
                     # This user isn't part of a "supported" group
diff --git a/backends/xnnpack/runtime/XNNCompiler.cpp b/backends/xnnpack/runtime/XNNCompiler.cpp
index 8c8db60065..2145ea1519 100644
--- a/backends/xnnpack/runtime/XNNCompiler.cpp
+++ b/backends/xnnpack/runtime/XNNCompiler.cpp
@@ -9,7 +9,7 @@
 #include <executorch/backends/xnnpack/runtime/XNNCompiler.h>
 #include <executorch/backends/xnnpack/runtime/XNNHeader.h>
 #include <executorch/backends/xnnpack/serialization/schema_generated.h>
-#include <executorch/backends/xnnpack/threadpool/threadpool.h>
+#include <executorch/extension/threadpool/threadpool.h>
 #include <executorch/runtime/core/exec_aten/util/scalar_type_util.h>
 #include <unordered_map>
 
@@ -21,6 +21,25 @@ namespace executor {
 namespace xnnpack {
 namespace delegate {
 
+/*
+ * Provide compile-time allocation.
+ */
+class CompileAllocator {
+ public:
+  /*
+   * Allocate memory which will be automatically freed at the end
+   * of the compilation process.
+   */
+  void* allocateTemporary(size_t size) {
+    auto mem = new uint8_t[size];
+    temporaries_.emplace_back(mem);
+    return mem;
+  }
+
+ private:
+  std::vector<std::unique_ptr<uint8_t[]>> temporaries_;
+};
+
 // Flatbuffer types
 using ValuePtr = const fb_xnnpack::XValue*;
 using NodePtr = const fb_xnnpack::XNode*;
@@ -35,6 +54,23 @@ using DefineNodeFunc = Error (*)(
     const std::unordered_map<uint32_t, uint32_t>&,
     NodePtr) noexcept;
 
+/*
+Convert a tensor from fp32 to bf16.
+*/
+void convertF32TensorToBF16(
+    const float* f32_data,
+    uint16_t* bf16_data_out,
+    size_t numel) {
+  for (auto i = 0u; i < numel; i++) {
+    // Adjust the f32 value such that it rounds properly after truncation.
+    // Constant factor scales 1+2^-8 to 1+2e-7.
+    float f32_adjusted = f32_data[i] * 1.00389105f;
+    uint32_t f32_bits;
+    memcpy(&f32_bits, &f32_adjusted, sizeof(float));
+    bf16_data_out[i] = static_cast<uint16_t>(f32_bits >> 16);
+  }
+}
+
 /*
 Gets the output min and output max for a given node operator
 */
@@ -152,7 +188,8 @@ Error defineTensor(
     GraphPtr flatbuffer_graph,
     const uint8_t* constant_data_ptr,
     std::vector<uint32_t>& input_ids,
-    std::vector<uint32_t>& output_ids) {
+    std::vector<uint32_t>& output_ids,
+    CompileAllocator& allocator) {
   const fb_xnnpack::XNNTensorValue* tensor_value = nullptr;
   const fb_xnnpack::XNNQuantizedTensorValue* qtensor_value = nullptr;
 
@@ -356,12 +393,31 @@ Error defineTensor(
         size_t group_size = qparams->group_size();
         size_t output_channels = tensor_value->dims()->Get(0);
         size_t input_channels = tensor_value->dims()->Get(1);
+
+        const uint16_t* scale_data = nullptr;
+        uint32_t scale_numel = 0;
+
+        // Block scales are preferably serialized as bf16 but can also be
+        // serialized as fp32 for backwards compatability.
+        if (qparams->scale_bf16() != nullptr) {
+          scale_data =
+              static_cast<const uint16_t*>(qparams->scale_bf16()->data());
+          scale_numel = qparams->scale_bf16()->size();
+        } else {
+          // Read fp32 scales, convert to bf16.
+          auto conv_buffer = static_cast<uint16_t*>(allocator.allocateTemporary(
+              qparams->scale()->size() * sizeof(uint16_t)));
+          scale_numel = qparams->scale()->size();
+          convertF32TensorToBF16(
+              qparams->scale()->data(), conv_buffer, scale_numel);
+          scale_data = conv_buffer;
+        }
+
         ET_CHECK_OR_RETURN_ERROR(
-            qparams->scale()->size() ==
-                output_channels * input_channels / group_size,
+            scale_numel == output_channels * input_channels / group_size,
             Internal,
             "scale size %zu != output channels %zu * group size %zu",
-            (size_t)qparams->scale()->size(),
+            static_cast<size_t>(scale_numel),
             output_channels,
             group_size);
         int32_t zero_point =
@@ -370,18 +426,19 @@ Error defineTensor(
             Debug,
             "define quant tensor (per channel group): buffer_ptr: %p, scale.numel(): %u, channel_dim: %u, grpup_size: %zu, output_channels: %zu, dtype: %u, zero_point: %d, datatype: %d\n",
             buffer_ptr,
-            qparams->scale()->size(),
+            scale_numel,
             qparams->channel_dim(),
             group_size,
             output_channels,
             datatype,
             zero_point,
             datatype);
+
         status = xnn_define_blockwise_quantized_tensor_value(
             /*subgraph=*/subgraph_ptr,
             /*datatype=*/datatype,
             /*zero_point=*/zero_point,
-            /*scale=*/qparams->scale()->data(),
+            /*scale=*/scale_data,
             /*num_dims=*/tensor_value->num_dims(),
             /*channel_dim=*/qparams->channel_dim(),
             /*block_size=*/qparams->group_size(),
@@ -1504,6 +1561,35 @@ Error defineScaledDotProductAttentionNode(
 
   return Error::Ok;
 }
+
+/*
+Defines batch matrix multiply node into the subgraph,
+using the remapped ids to map the serialized ids,
+to the new ids generated when defining the tensor value
+*/
+Error defineBatchMatrixMultiplyNode(
+    xnn_subgraph_t subgraph_ptr,
+    const std::unordered_map<uint32_t, uint32_t>& remapped_ids,
+    const NodePtr node) noexcept {
+  auto graph_node = node->xnode_union_as_XNNBatchMatrixMultiply();
+
+  xnn_status status = xnn_define_batch_matrix_multiply(
+      subgraph_ptr,
+      remapped_ids.at(graph_node->input1_id()),
+      remapped_ids.at(graph_node->input2_id()),
+      remapped_ids.at(graph_node->output_id()),
+      graph_node->flags());
+
+  ET_CHECK_OR_RETURN_ERROR(
+      status == xnn_status_success,
+      Internal,
+      "Failed to create BMM node %i with code: %s",
+      node->debug_handle(),
+      xnn_status_to_string(status));
+
+  return Error::Ok;
+}
+
 /*
 Returns not Implemented Error code. This function is meant to be
 called when the compiler encountes a XNodeType from the flatbuffer
@@ -1566,6 +1652,7 @@ DefineNodeFunc getDefineNodeFunc(fb_xnnpack::XNodeUnion nodeType) {
     _DEFINE(Concatenate4)
     _DEFINE(StaticSlice)
     _DEFINE(ScaledDotProductAttention)
+    _DEFINE(BatchMatrixMultiply)
     case fb_xnnpack::XNodeUnion::NONE:
     default: // Adding here as a catch all, just in case
       return &defineNotImplementedNode;
@@ -1578,14 +1665,16 @@ Builds the xnnpack runtime object using the buffer pointer. The buffer pointer
 must be a valid pointer to the serialized xnnpack object. It also fills the
 XNNExecutor object with the built xnn_runtime and the input/output ids.
 */
-__ET_NODISCARD Error XNNCompiler::compileModel(
+ET_NODISCARD Error XNNCompiler::compileModel(
     const void* buffer_pointer,
     size_t num_bytes,
     XNNExecutor* executor,
-    MemoryAllocator* runtime_allocator) {
+    MemoryAllocator* runtime_allocator,
+    xnn_workspace_t workspace) {
   Result<XNNHeader> header = XNNHeader::Parse(buffer_pointer, num_bytes);
   const uint8_t* flatbuffer_data = nullptr;
   const uint8_t* constant_data = nullptr;
+  CompileAllocator compile_allocator;
 
   // Header status can only either be Error::Ok or Error::NotFound
   if (header.ok()) {
@@ -1657,7 +1746,8 @@ __ET_NODISCARD Error XNNCompiler::compileModel(
         flatbuffer_graph,
         constant_data,
         input_ids,
-        output_ids);
+        output_ids,
+        compile_allocator);
 
     if (err != Error::Ok) {
       return err;
@@ -1678,11 +1768,26 @@ __ET_NODISCARD Error XNNCompiler::compileModel(
 #endif
 
   xnn_runtime_t runtime_ptr = nullptr;
-  status = xnn_create_runtime_v2(
+
+#ifdef ENABLE_XNNPACK_SHARED_WORKSPACE
+  ET_CHECK_OR_RETURN_ERROR(
+      workspace != nullptr, Internal, "Failed to initialize XNNPACK workspace");
+  status = xnn_create_runtime_v4(
       subgraph.get(),
+      /*weight_cache=*/nullptr, // TODO - support weight cache
+      workspace,
       torch::executorch::threadpool::get_pthreadpool(),
       runtime_flags,
       &runtime_ptr);
+#else
+  status = xnn_create_runtime_v3(
+      subgraph.get(),
+      /*weight_cache=*/nullptr, // TODO - support weight cache
+      torch::executorch::threadpool::get_pthreadpool(),
+      runtime_flags,
+      &runtime_ptr);
+#endif
+
   ET_CHECK_OR_RETURN_ERROR(
       xnn_status_success == status,
       Internal,
diff --git a/backends/xnnpack/runtime/XNNCompiler.h b/backends/xnnpack/runtime/XNNCompiler.h
index 945022ae89..94deda5263 100644
--- a/backends/xnnpack/runtime/XNNCompiler.h
+++ b/backends/xnnpack/runtime/XNNCompiler.h
@@ -25,11 +25,12 @@ class XNNCompiler {
   // Takes Flatbuffer Serialized XNNPACK Model and rebuilds the xnn-subgraph
   // returns an executor object that holds the xnn runtime object which we
   // can then use to set inputs and run inference using the xnn graph.
-  __ET_NODISCARD static Error compileModel(
+  ET_NODISCARD static Error compileModel(
       const void* buffer_pointer,
       size_t num_bytes,
       XNNExecutor* executor,
-      MemoryAllocator* runtime_allocator);
+      MemoryAllocator* runtime_allocator,
+      xnn_workspace_t workspace);
 };
 
 } // namespace delegate
diff --git a/backends/xnnpack/runtime/XNNExecutor.cpp b/backends/xnnpack/runtime/XNNExecutor.cpp
index 0311489d9d..2ca1c7d4b2 100644
--- a/backends/xnnpack/runtime/XNNExecutor.cpp
+++ b/backends/xnnpack/runtime/XNNExecutor.cpp
@@ -22,7 +22,7 @@ using SizesType = exec_aten::SizesType;
  * inputs/outputs externals_ is resized to the total number of inputs and
  * outputs
  */
-__ET_NODISCARD Error XNNExecutor::initialize(
+ET_NODISCARD Error XNNExecutor::initialize(
     xnn_runtime_t runtime,
     std::vector<uint32_t>&& input_ids,
     std::vector<uint32_t>&& output_ids) {
@@ -62,7 +62,7 @@ __ET_NODISCARD Error XNNExecutor::initialize(
  * runtime correspond to their index in the list of arg passed into
  * delegate->execute()
  */
-__ET_NODISCARD Error XNNExecutor::prepare_args(EValue** args) {
+ET_NODISCARD Error XNNExecutor::prepare_args(EValue** args) {
   // Create xnn_externals_value from evalue args
   xnn_status status;
   for (uint32_t i = 0; i < externals_.size(); ++i) {
@@ -86,6 +86,11 @@ __ET_NODISCARD Error XNNExecutor::prepare_args(EValue** args) {
     // Reshape runtime inputs
     if (i < input_ids_.size()) {
       size_t num_dims = tensor->dim();
+      ET_CHECK_OR_RETURN_ERROR(
+          is_contiguous_dim_order(tensor->dim_order().data(), tensor->dim()),
+          Internal,
+          "Expecting default dim_order but got a non default dim_order tensor for external input %u",
+          i);
       size_t dims[XNN_MAX_TENSOR_DIMS];
       ET_CHECK_OR_RETURN_ERROR(
           num_dims <= XNN_MAX_TENSOR_DIMS,
@@ -123,7 +128,7 @@ __ET_NODISCARD Error XNNExecutor::prepare_args(EValue** args) {
  * We first setup the runtime by feeding the externals_ to runtime setup.
  * After which we then execute the runtime through invoke_runtime.
  */
-__ET_NODISCARD Error XNNExecutor::forward(BackendExecutionContext& context) {
+ET_NODISCARD Error XNNExecutor::forward(BackendExecutionContext& context) {
   ET_CHECK_OR_RETURN_ERROR(
       runtime_ != nullptr,
       Internal,
@@ -175,7 +180,7 @@ __ET_NODISCARD Error XNNExecutor::forward(BackendExecutionContext& context) {
  * XNNPACK gives the index tensor to us as int32, we need to convert it
  * back to int64 for ExecuTorch.
  */
-__ET_NODISCARD Error XNNExecutor::resize_outputs(EValue** args) const {
+ET_NODISCARD Error XNNExecutor::resize_outputs(EValue** args) const {
   size_t output_idx_start = input_ids_.size();
   for (size_t i = output_idx_start; i < externals_.size(); ++i) {
     uint32_t ext_id = externals_[i].id;
diff --git a/backends/xnnpack/runtime/XNNExecutor.h b/backends/xnnpack/runtime/XNNExecutor.h
index b13951bdd1..c35307cb91 100644
--- a/backends/xnnpack/runtime/XNNExecutor.h
+++ b/backends/xnnpack/runtime/XNNExecutor.h
@@ -51,7 +51,7 @@ class XNNExecutor {
    * The input/output ids are expected to be sorted in order of their
    * flatbuffer id_outs
    */
-  __ET_NODISCARD Error initialize(
+  ET_NODISCARD Error initialize(
       xnn_runtime_t runtime,
       std::vector<uint32_t>&& input_ids,
       std::vector<uint32_t>&& output_ids);
@@ -62,19 +62,19 @@ class XNNExecutor {
    * input shapes will be propagated through the runtime, and perform
    * any additional memory planning as needed
    */
-  __ET_NODISCARD Error prepare_args(EValue** args);
+  ET_NODISCARD Error prepare_args(EValue** args);
 
   /**
    * Executes the graph using the args prepared at prepare_args().
    */
-  __ET_NODISCARD Error forward(BackendExecutionContext& context);
+  ET_NODISCARD Error forward(BackendExecutionContext& context);
 
   /**
    * Prepares the outputs to be returned by the delegate
    *
    * Performs any post processing of outputs like tensor resizing
    */
-  __ET_NODISCARD Error resize_outputs(EValue** args) const;
+  ET_NODISCARD Error resize_outputs(EValue** args) const;
 
   friend class XNNCompiler;
 };
diff --git a/backends/xnnpack/runtime/XNNPACKBackend.cpp b/backends/xnnpack/runtime/XNNPACKBackend.cpp
index c22dd219b7..c817c010e2 100644
--- a/backends/xnnpack/runtime/XNNPACKBackend.cpp
+++ b/backends/xnnpack/runtime/XNNPACKBackend.cpp
@@ -11,17 +11,49 @@
 #include <executorch/runtime/core/error.h>
 #include <executorch/runtime/core/evalue.h>
 #include <executorch/runtime/platform/profiler.h>
+
 #include <memory>
+#include <mutex>
 
 #pragma clang diagnostic ignored "-Wglobal-constructors"
 
 namespace torch {
 namespace executor {
 
-class XnnpackBackend final : public PyTorchBackendInterface {
+class XnnpackBackend final : public ::executorch::runtime::BackendInterface {
  public:
   ~XnnpackBackend() = default;
 
+  XnnpackBackend() {
+    // Initialize XNNPACK
+    xnn_status status = xnn_initialize(/*allocator=*/nullptr);
+    if (status != xnn_status_success) {
+      ET_LOG(
+          Error,
+          "Failed to initialize, XNNPACK status: 0x%x",
+          (unsigned int)status);
+      return;
+    }
+
+#ifdef ENABLE_XNNPACK_SHARED_WORKSPACE
+    // Create a workspace for the XNNExecutor to use. This workspace will be
+    // shared across all delegate instances.
+    ET_LOG(Debug, "Creating XNN workspace");
+    xnn_workspace_t workspace = nullptr;
+    status = xnn_create_workspace(&workspace);
+    if (status != xnn_status_success) {
+      ET_LOG(
+          Error,
+          "Failed to create XNN workspace, XNNPACK status: 0x%x",
+          (unsigned int)status);
+      workspace = nullptr;
+      return;
+    }
+    workspace_.reset(workspace);
+    ET_LOG(Debug, "Created XNN workspace: %p", workspace_.get());
+#endif // ENABLE_XNNPACK_SHARED_WORKSPACE
+  }
+
   bool is_available() const override {
     return xnn_status_success == xnn_initialize(/*allocator=*/nullptr);
   }
@@ -38,12 +70,12 @@ class XnnpackBackend final : public PyTorchBackendInterface {
     // new and since this type is not trivially destructible, we must call the
     // destructor manually in destroy().
     new (executor) xnnpack::delegate::XNNExecutor;
-
     Error err = xnnpack::delegate::XNNCompiler::compileModel(
         processed->data(),
         processed->size(),
         executor,
-        context.get_runtime_allocator());
+        context.get_runtime_allocator(),
+        workspace_.get());
     // This backend does not need its processed data after compiling the model.
     processed->Free();
 
@@ -65,6 +97,10 @@ class XnnpackBackend final : public PyTorchBackendInterface {
       EValue** args) const override {
     auto executor = static_cast<xnnpack::delegate::XNNExecutor*>(handle);
 
+#ifdef ENABLE_XNNPACK_SHARED_WORKSPACE
+    const std::lock_guard<std::mutex> lock(workspace_mutex_);
+#endif
+
     // Prepare Inputs/Outputs and Propagate Input Shapes
     Error err = executor->prepare_args(args);
     if (err != Error::Ok) {
@@ -94,6 +130,13 @@ class XnnpackBackend final : public PyTorchBackendInterface {
       executor->~XNNExecutor();
     }
   }
+
+ private:
+  // This is a global workspace for all delegate instances.
+  mutable std::mutex workspace_mutex_;
+  std::unique_ptr<xnn_workspace, decltype(&xnn_release_workspace)> workspace_{
+      nullptr,
+      &xnn_release_workspace};
 };
 
 namespace {
diff --git a/backends/xnnpack/serialization/runtime_schema.fbs b/backends/xnnpack/serialization/runtime_schema.fbs
index 5ace211149..efe717e085 100644
--- a/backends/xnnpack/serialization/runtime_schema.fbs
+++ b/backends/xnnpack/serialization/runtime_schema.fbs
@@ -63,6 +63,7 @@ table PerChannelGroupQuant {
   scale:[float];
   channel_dim:int;
   group_size:int;
+  scale_bf16:[ushort];
 }
 
 table XNNTensorValue {
@@ -134,6 +135,7 @@ union XNodeUnion {
   XNNConcatenate4: _XNNCat,
   XNNStaticSlice,
   XNNScaledDotProductAttention,
+  XNNBatchMatrixMultiply: _XNNNode2x1,
 }
 
 union XValueUnion {
diff --git a/backends/xnnpack/serialization/schema.fbs b/backends/xnnpack/serialization/schema.fbs
index b968c6d9e9..33571195d6 100644
--- a/backends/xnnpack/serialization/schema.fbs
+++ b/backends/xnnpack/serialization/schema.fbs
@@ -48,6 +48,7 @@ table PerChannelGroupQuant {
   scale:[float];
   channel_dim:int;
   group_size:int;
+  scale_bf16:[ushort];
 }
 
 table PerChannelQuant {
@@ -130,6 +131,7 @@ union XNodeUnion {
   XNNConcatenate4: _XNNCat,
   XNNStaticSlice,
   XNNScaledDotProductAttention,
+  XNNBatchMatrixMultiply: _XNNNode2x1,
 }
 
 union XValueUnion {
diff --git a/backends/xnnpack/serialization/xnnpack_graph_schema.py b/backends/xnnpack/serialization/xnnpack_graph_schema.py
index 9127474c91..e3e699c58f 100644
--- a/backends/xnnpack/serialization/xnnpack_graph_schema.py
+++ b/backends/xnnpack/serialization/xnnpack_graph_schema.py
@@ -177,6 +177,11 @@ class XNNConcatenate4(XNNCat):
     pass
 
 
+@dataclass
+class XNNBatchMatrixMultiply(XNNNode2x1):
+    pass
+
+
 @dataclass
 class XNNStaticTranspose:
     num_dims: int
@@ -354,6 +359,7 @@ class XNNScaledDotProductAttention:
     XNNConcatenate4,
     XNNStaticSlice,
     XNNScaledDotProductAttention,
+    XNNBatchMatrixMultiply,
 ]
 
 
diff --git a/backends/xnnpack/targets.bzl b/backends/xnnpack/targets.bzl
index 64439ed8a3..dc8cd5917b 100644
--- a/backends/xnnpack/targets.bzl
+++ b/backends/xnnpack/targets.bzl
@@ -36,7 +36,10 @@ def define_common_targets():
             "@EXECUTORCH_CLIENTS",
         ],
         preprocessor_flags = [
+            # Uncomment to enable per operator timings
             # "-DENABLE_XNNPACK_PROFILING",
+            # Uncomment to enable workspace sharing across delegates
+            # "-DENABLE_XNNPACK_SHARED_WORKSPACE"
         ],
         exported_deps = [
             "//executorch/runtime/backend:interface",
@@ -44,7 +47,7 @@ def define_common_targets():
         deps = [
             third_party_dep("XNNPACK"),
             "//executorch/backends/xnnpack/serialization:xnnpack_flatbuffer_header",
-            "//executorch/backends/xnnpack/threadpool:threadpool",
+            "//executorch/extension/threadpool:threadpool",
             "//executorch/runtime/core/exec_aten/util:tensor_util",
         ],
         # XnnpackBackend.cpp needs to compile with executor as whole
diff --git a/backends/xnnpack/test/CMakeLists.txt b/backends/xnnpack/test/CMakeLists.txt
index d0fbddae23..02852871fe 100644
--- a/backends/xnnpack/test/CMakeLists.txt
+++ b/backends/xnnpack/test/CMakeLists.txt
@@ -23,8 +23,10 @@ include(${EXECUTORCH_ROOT}/build/Test.cmake)
 
 set(_test_srcs # We can't put runtime/test_runtime_utils.cpp because we don't
                # build aten
-    runtime/test_xnnexecutor.cpp ../threadpool/threadpool.cpp
-    ../threadpool/threadpool_guard.cpp ../threadpool/test/threadpool_test.cpp
+    runtime/test_xnnexecutor.cpp
+    ${EXECUTORCH_ROOT}/extension/threadpool/threadpool.cpp
+    ${EXECUTORCH_ROOT}/extension/threadpool/threadpool_guard.cpp
+    ${EXECUTORCH_ROOT}/extension/threadpool/test/threadpool_test.cpp
 )
 
 et_cxx_test(
@@ -32,6 +34,7 @@ et_cxx_test(
   SOURCES
   ${_test_srcs}
   EXTRA_LIBS
+  extension_threadpool
   xnnpack_backend
   XNNPACK
   pthreadpool
diff --git a/backends/xnnpack/test/TARGETS b/backends/xnnpack/test/TARGETS
index abedffb8e6..629ac8275b 100644
--- a/backends/xnnpack/test/TARGETS
+++ b/backends/xnnpack/test/TARGETS
@@ -36,10 +36,10 @@ runtime.python_test(
     deps = [
         "//executorch/backends/xnnpack/partition:xnnpack_partitioner",
         "//executorch/backends/xnnpack/test/tester:tester",
+        "//executorch/devtools:lib",
+        "//executorch/devtools/bundled_program:config",
+        "//executorch/devtools/bundled_program/serialize:lib",
         "//executorch/exir/passes:constant_prop_pass",
-        "//executorch/sdk:lib",
-        "//executorch/sdk/bundled_program:config",
-        "//executorch/sdk/bundled_program/serialize:lib",
         "//pytorch/ao:torchao",  # @manual
     ],
     external_deps = [
diff --git a/backends/xnnpack/test/models/deeplab_v3.py b/backends/xnnpack/test/models/deeplab_v3.py
index a3e6ac5f5b..9913296521 100644
--- a/backends/xnnpack/test/models/deeplab_v3.py
+++ b/backends/xnnpack/test/models/deeplab_v3.py
@@ -32,8 +32,7 @@ def test_fp32_dl3(self):
         (
             Tester(self.dl3, self.model_inputs)
             .export()
-            .to_edge()
-            .partition()
+            .to_edge_transform_and_lower()
             .to_executorch()
             .serialize()
             .run_method_and_compare_outputs()
diff --git a/backends/xnnpack/test/models/edsr.py b/backends/xnnpack/test/models/edsr.py
index 93bf5520a8..34b5898cf4 100644
--- a/backends/xnnpack/test/models/edsr.py
+++ b/backends/xnnpack/test/models/edsr.py
@@ -21,8 +21,7 @@ def test_fp32_edsr(self):
         (
             Tester(self.edsr, self.model_inputs)
             .export()
-            .to_edge()
-            .partition()
+            .to_edge_transform_and_lower()
             .to_executorch()
             .serialize()
             .run_method_and_compare_outputs()
@@ -34,8 +33,7 @@ def _test_qs8_edsr(self):
             Tester(self.edsr, self.model_inputs)
             .quantize()
             .export()
-            .to_edge()
-            .partition()
+            .to_edge_transform_and_lower()
             .to_executorch()
             .serialize()
             .run_method_and_compare_outputs()
@@ -47,8 +45,7 @@ def test_qs8_edsr_no_calibrate(self):
             Tester(self.edsr, self.model_inputs)
             .quantize(Quantize(calibrate=False))
             .export()
-            .to_edge()
-            .partition()
+            .to_edge_transform_and_lower()
             .to_executorch()
             .serialize()
             .run_method_and_compare_outputs()
diff --git a/backends/xnnpack/test/models/emformer_rnnt.py b/backends/xnnpack/test/models/emformer_rnnt.py
index 27e278dd2e..5cf4337307 100644
--- a/backends/xnnpack/test/models/emformer_rnnt.py
+++ b/backends/xnnpack/test/models/emformer_rnnt.py
@@ -38,8 +38,7 @@ def test_fp32_emformer_joiner(self):
         (
             Tester(joiner, joiner.get_example_inputs())
             .export()
-            .to_edge()
-            .partition()
+            .to_edge_transform_and_lower()
             .check(["torch.ops.higher_order.executorch_call_delegate"])
             .to_executorch()
             .serialize()
@@ -65,8 +64,7 @@ def _test_fp32_emformer_predictor(self):
         (
             Tester(predictor, predictor.get_example_inputs())
             .export()
-            .to_edge()
-            .partition()
+            .to_edge_transform_and_lower()
             .check(["torch.ops.higher_order.executorch_call_delegate"])
             .to_executorch()
             .serialize()
@@ -89,8 +87,7 @@ def test_fp32_emformer_transcriber(self):
         (
             Tester(transcriber, transcriber.get_example_inputs())
             .export()
-            .to_edge()
-            .partition()
+            .to_edge_transform_and_lower()
             .check(["torch.ops.higher_order.executorch_call_delegate"])
             .to_executorch()
             .serialize()
diff --git a/backends/xnnpack/test/models/inception_v3.py b/backends/xnnpack/test/models/inception_v3.py
index 7f1a728fa8..59fd56d6af 100644
--- a/backends/xnnpack/test/models/inception_v3.py
+++ b/backends/xnnpack/test/models/inception_v3.py
@@ -34,9 +34,7 @@ def test_fp32_ic3(self):
         (
             Tester(self.ic3, self.model_inputs)
             .export()
-            .to_edge()
-            .check(list(self.all_operators))
-            .partition()
+            .to_edge_transform_and_lower()
             .check(["torch.ops.higher_order.executorch_call_delegate"])
             .check_not(list(self.all_operators))
             .to_executorch()
@@ -55,9 +53,7 @@ def _test_qs8_ic3(self):
             Tester(self.ic3, self.model_inputs)
             .quantize()
             .export()
-            .to_edge()
-            .check(list(ops_after_quantization))
-            .partition()
+            .to_edge_transform_and_lower()
             .check(["torch.ops.higher_order.executorch_call_delegate"])
             .check_not(list(ops_after_quantization))
             .to_executorch()
@@ -76,9 +72,7 @@ def test_qs8_ic3_no_calibration(self):
             Tester(self.ic3, self.model_inputs)
             .quantize(Quantize(calibrate=False))
             .export()
-            .to_edge()
-            .check(list(ops_after_quantization))
-            .partition()
+            .to_edge_transform_and_lower()
             .check(["torch.ops.higher_order.executorch_call_delegate"])
             .check_not(list(ops_after_quantization))
             .to_executorch()
diff --git a/backends/xnnpack/test/models/inception_v4.py b/backends/xnnpack/test/models/inception_v4.py
index 2b9b183468..e8a785116a 100644
--- a/backends/xnnpack/test/models/inception_v4.py
+++ b/backends/xnnpack/test/models/inception_v4.py
@@ -32,9 +32,7 @@ def test_fp32_ic4(self):
         (
             Tester(self.ic4, self.model_inputs)
             .export()
-            .to_edge()
-            .check(list(self.all_operators))
-            .partition()
+            .to_edge_transform_and_lower()
             .check(["torch.ops.higher_order.executorch_call_delegate"])
             .check_not(list(self.all_operators))
             .to_executorch()
@@ -52,9 +50,7 @@ def test_qs8_ic4(self):
             Tester(self.ic4, self.model_inputs)
             .quantize()
             .export()
-            .to_edge()
-            .check(list(ops_after_quantization))
-            .partition()
+            .to_edge_transform_and_lower()
             .check(["torch.ops.higher_order.executorch_call_delegate"])
             .check_not(list(ops_after_quantization))
             .to_executorch()
diff --git a/backends/xnnpack/test/models/llama2_et_example.py b/backends/xnnpack/test/models/llama2_et_example.py
index 286750b38d..6948321d53 100644
--- a/backends/xnnpack/test/models/llama2_et_example.py
+++ b/backends/xnnpack/test/models/llama2_et_example.py
@@ -39,10 +39,7 @@ def _test(self, dtype: torch.dtype = torch.float):
         (
             Tester(model, example_inputs)
             .export()
-            .to_edge()
-            .dump_artifact()
-            .partition()
-            .dump_artifact()
+            .to_edge_transform_and_lower()
             .to_executorch()
             .serialize()
             .run_method_and_compare_outputs(atol=5e-2, inputs=example_inputs)
diff --git a/backends/xnnpack/test/models/mobilebert.py b/backends/xnnpack/test/models/mobilebert.py
index dee351f34d..ca18e6c265 100644
--- a/backends/xnnpack/test/models/mobilebert.py
+++ b/backends/xnnpack/test/models/mobilebert.py
@@ -7,7 +7,7 @@
 import unittest
 
 import torch
-from executorch.backends.xnnpack.test.tester import Tester
+from executorch.backends.xnnpack.test.tester import Quantize, Tester
 from transformers import MobileBertConfig, MobileBertModel  # @manual
 
 
@@ -32,9 +32,19 @@ def test_fp32_mobilebert(self):
         (
             Tester(self.mobilebert, self.example_inputs)
             .export()
-            .to_edge()
-            .check(list(self.supported_ops))
-            .partition()
+            .to_edge_transform_and_lower()
+            .check_not(list(self.supported_ops))
+            .to_executorch()
+            .serialize()
+            .run_method_and_compare_outputs(inputs=self.example_inputs)
+        )
+
+    def test_qs8_mobilebert(self):
+        (
+            Tester(self.mobilebert, self.example_inputs)
+            .quantize(Quantize(calibrate=False))
+            .export()
+            .to_edge_transform_and_lower()
             .check_not(list(self.supported_ops))
             .to_executorch()
             .serialize()
diff --git a/backends/xnnpack/test/models/mobilenet_v2.py b/backends/xnnpack/test/models/mobilenet_v2.py
index 799f5c8110..4ee28af6b9 100644
--- a/backends/xnnpack/test/models/mobilenet_v2.py
+++ b/backends/xnnpack/test/models/mobilenet_v2.py
@@ -39,9 +39,7 @@ def test_fp32_mv2(self):
         (
             Tester(self.mv2, self.model_inputs, dynamic_shapes=dynamic_shapes)
             .export()
-            .to_edge()
-            .check(list(self.all_operators))
-            .partition()
+            .to_edge_transform_and_lower()
             .check(["torch.ops.higher_order.executorch_call_delegate"])
             .check_not(list(self.all_operators))
             .to_executorch()
@@ -67,9 +65,7 @@ def _test_qs8_mv2(self):
             Tester(self.mv2, self.model_inputs, dynamic_shapes=dynamic_shapes)
             .quantize()
             .export()
-            .to_edge()
-            .check(list(ops_after_quantization))
-            .partition()
+            .to_edge_transform_and_lower()
             .check(["torch.ops.higher_order.executorch_call_delegate"])
             .check_not(list(ops_after_quantization))
             .to_executorch()
@@ -95,9 +91,7 @@ def test_qs8_mv2_no_calibration(self):
             Tester(self.mv2, self.model_inputs, dynamic_shapes=dynamic_shapes)
             .quantize(Quantize(calibrate=False))
             .export()
-            .to_edge()
-            .check(list(ops_after_quantization))
-            .partition()
+            .to_edge_transform_and_lower()
             .check(["torch.ops.higher_order.executorch_call_delegate"])
             .check_not(list(ops_after_quantization))
             .to_executorch()
diff --git a/backends/xnnpack/test/models/mobilenet_v3.py b/backends/xnnpack/test/models/mobilenet_v3.py
index ce67f44cca..cacd8b5cc8 100644
--- a/backends/xnnpack/test/models/mobilenet_v3.py
+++ b/backends/xnnpack/test/models/mobilenet_v3.py
@@ -28,7 +28,6 @@ class TestMobileNetV3(unittest.TestCase):
         "executorch_exir_dialects_edge__ops_aten_clamp_default",
         "executorch_exir_dialects_edge__ops_aten_permute_copy_default",
         "executorch_exir_dialects_edge__ops_aten_addmm_default",
-        "executorch_exir_dialects_edge__ops_aten__to_copy_default",
         "executorch_exir_dialects_edge__ops_aten_convolution_default",
         "executorch_exir_dialects_edge__ops_aten_relu_default",
         "executorch_exir_dialects_edge__ops_aten_add_Tensor",
@@ -41,9 +40,7 @@ def test_fp32_mv3(self):
         (
             Tester(self.mv3, self.model_inputs, dynamic_shapes=self.dynamic_shapes)
             .export()
-            .to_edge()
-            .check(list(self.all_operators))
-            .partition()
+            .to_edge_transform_and_lower()
             .check(["torch.ops.higher_order.executorch_call_delegate"])
             .check_not(list(self.all_operators))
             .to_executorch()
@@ -53,18 +50,13 @@ def test_fp32_mv3(self):
 
     @unittest.skip("T187799178: Debugging Numerical Issues with Calibration")
     def _test_qs8_mv3(self):
-        ops_after_quantization = self.all_operators - {
-            "executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default",
-        }
         ops_after_lowering = self.all_operators
 
         (
             Tester(self.mv3, self.model_inputs, dynamic_shapes=self.dynamic_shapes)
             .quantize()
             .export()
-            .to_edge()
-            .check(list(ops_after_quantization))
-            .partition()
+            .to_edge_tranform_and_lower()
             .check(["torch.ops.higher_order.executorch_call_delegate"])
             .check_not(list(ops_after_lowering))
             .to_executorch()
@@ -74,18 +66,13 @@ def _test_qs8_mv3(self):
 
     # TODO: Delete and only used calibrated test after T187799178
     def test_qs8_mv3_no_calibration(self):
-        ops_after_quantization = self.all_operators - {
-            "executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default",
-        }
         ops_after_lowering = self.all_operators
 
         (
             Tester(self.mv3, self.model_inputs, dynamic_shapes=self.dynamic_shapes)
             .quantize(Quantize(calibrate=False))
             .export()
-            .to_edge()
-            .check(list(ops_after_quantization))
-            .partition()
+            .to_edge_transform_and_lower()
             .check(["torch.ops.higher_order.executorch_call_delegate"])
             .check_not(list(ops_after_lowering))
             .to_executorch()
diff --git a/backends/xnnpack/test/models/resnet.py b/backends/xnnpack/test/models/resnet.py
index 616655a9d7..4ad6a7d5f4 100644
--- a/backends/xnnpack/test/models/resnet.py
+++ b/backends/xnnpack/test/models/resnet.py
@@ -39,8 +39,7 @@ def forward(self, x):
     def _test_exported_resnet(self, tester):
         (
             tester.export()
-            .to_edge()
-            .partition()
+            .to_edge_transform_and_lower()
             .check_not(
                 [
                     "executorch_exir_dialects_edge__ops_aten_convolution_default",
diff --git a/backends/xnnpack/test/models/torchvision_vit.py b/backends/xnnpack/test/models/torchvision_vit.py
index 2502c35f6b..6bebd284e5 100644
--- a/backends/xnnpack/test/models/torchvision_vit.py
+++ b/backends/xnnpack/test/models/torchvision_vit.py
@@ -73,9 +73,7 @@ def _test_exported_vit(self, tester, check_nots=None):
         }
         (
             tester.export()
-            .to_edge()
-            .check(list(self.all_operators))
-            .partition()
+            .to_edge_transform_and_lower()
             .check(["torch.ops.higher_order.executorch_call_delegate"])
             .check_not(list(lowerable_xnn_operators))
             .check_not(check_nots)
diff --git a/backends/xnnpack/test/models/very_big_model.py b/backends/xnnpack/test/models/very_big_model.py
index ccf98808df..3545287c62 100644
--- a/backends/xnnpack/test/models/very_big_model.py
+++ b/backends/xnnpack/test/models/very_big_model.py
@@ -34,8 +34,7 @@ def _test_very_big_model(self):
         (
             Tester(self.BigModel(), (torch.randn(1, 5000),))
             .export()
-            .to_edge()
-            .partition()
+            .to_edge_transform_and_lower()
             .check(["torch.ops.higher_order.executorch_call_delegate"])
             .to_executorch()
             .serialize()
diff --git a/backends/xnnpack/test/models/w2l.py b/backends/xnnpack/test/models/w2l.py
index 7f63d0b15f..07b3bf56b3 100644
--- a/backends/xnnpack/test/models/w2l.py
+++ b/backends/xnnpack/test/models/w2l.py
@@ -25,8 +25,7 @@ def test_fp32_w2l(self):
         (
             Tester(self.wav2letter, self.model_inputs, self.dynamic_shape)
             .export()
-            .to_edge()
-            .partition()
+            .to_edge_transform_and_lower()
             .check_not(
                 [
                     "executorch_exir_dialectes_edge__ops_aten_convolution_default",
@@ -44,8 +43,7 @@ def test_qs8_w2l(self):
             Tester(self.wav2letter.eval(), self.model_inputs, self.dynamic_shape)
             .quantize()
             .export()
-            .to_edge()
-            .partition()
+            .to_edge_transform_and_lower()
             .check_not(
                 [
                     "executorch_exir_dialectes_edge__ops_aten_convolution_default",
diff --git a/backends/xnnpack/test/ops/abs.py b/backends/xnnpack/test/ops/abs.py
index 2906654dfb..fba91db05c 100644
--- a/backends/xnnpack/test/ops/abs.py
+++ b/backends/xnnpack/test/ops/abs.py
@@ -24,9 +24,7 @@ def _test_abs(self, inputs):
             Tester(self.Abs(), inputs)
             .export()
             .check_count({"torch.ops.aten.abs.default": 1})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_abs_default": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_abs_default"])
             .to_executorch()
diff --git a/backends/xnnpack/test/ops/add.py b/backends/xnnpack/test/ops/add.py
index f8c202bd7f..784a9d3bbf 100644
--- a/backends/xnnpack/test/ops/add.py
+++ b/backends/xnnpack/test/ops/add.py
@@ -47,9 +47,7 @@ def _test_add(self, inputs):
             Tester(self.Add(), inputs)
             .export()
             .check_count({"torch.ops.aten.add.Tensor": 4})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_add_Tensor": 4})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_add_Tensor"])
             .to_executorch()
@@ -71,9 +69,7 @@ def test_fp32_add_constant(self):
             Tester(self.AddConstant(torch.randn(4, 4, 4)), inputs)
             .export()
             .check_count({"torch.ops.aten.add.Tensor": 4})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_add_Tensor": 4})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_add_Tensor"])
             .to_executorch()
@@ -88,9 +84,7 @@ def test_qs8_add_constant(self):
             .quantize()
             .export()
             .check_count({"torch.ops.aten.add.Tensor": 4})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_add_Tensor": 4})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_add_Tensor"])
             .to_executorch()
@@ -106,9 +100,7 @@ def test_qs8_add(self):
             .export()
             .check_count({"torch.ops.aten.add.Tensor": 4})
             .check(["torch.ops.quantized_decomposed"])
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_add_Tensor": 4})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
@@ -129,9 +121,7 @@ def test_qs8_add2(self):
             .export()
             .check_count({"torch.ops.aten.add.Tensor": 1})
             .check(["torch.ops.quantized_decomposed"])
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_add_Tensor": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
@@ -152,9 +142,7 @@ def test_qs8_add3(self):
             .export()
             .check_count({"torch.ops.aten.add.Tensor": 4})
             .check(["torch.ops.quantized_decomposed"])
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_add_Tensor": 4})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
@@ -179,10 +167,7 @@ def test_fp32_add_relu(self):
             .export()
             .check_count({"torch.ops.aten.add.Tensor": 1})
             .check_count({"torch.ops.aten.relu.default": 1})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_add_Tensor": 1})
-            .check_count({"executorch_exir_dialects_edge__ops_aten_relu_default": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_not(["executorch_exir_dialects_edge__ops_aten_add_Tensor"])
             .check_not(["executorch_exir_dialects_edge__ops_aten_relu_default"])
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
@@ -200,10 +185,7 @@ def test_qs8_add_relu(self):
             .check_count({"torch.ops.aten.add.Tensor": 1})
             .check_count({"torch.ops.aten.relu.default": 1})
             .check(["torch.ops.quantized_decomposed"])
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_add_Tensor": 1})
-            .check_count({"executorch_exir_dialects_edge__ops_aten_relu_default": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .to_executorch()
             .serialize()
@@ -246,10 +228,7 @@ def forward(self, x, z):
                 {"torch.ops.aten.add.Tensor": 1, "torch.ops.aten.relu.default": 1}
             )
             .check(["torch.ops.quantized_decomposed"])
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_add_Tensor": 1})
-            .check_count({"executorch_exir_dialects_edge__ops_aten_relu_default": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .to_executorch()
             .serialize()
diff --git a/backends/xnnpack/test/ops/avgpool2d.py b/backends/xnnpack/test/ops/avgpool2d.py
index edb92d09a3..b471fd914c 100644
--- a/backends/xnnpack/test/ops/avgpool2d.py
+++ b/backends/xnnpack/test/ops/avgpool2d.py
@@ -33,11 +33,7 @@ def _test_argpool2d(self, inputs):
             Tester(self.AvgPool2d(), inputs)
             .export()
             .check_count({"torch.ops.aten.avg_pool2d.default": 1})
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_avg_pool2d_default": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_avg_pool2d_default"])
             .to_executorch()
@@ -62,11 +58,7 @@ def test_fp32_avgpool2d_ceil_mode_unsupported(self):
             Tester(self.AvgPool2d(ceil_mode=True), inputs)
             .export()
             .check_count({"torch.ops.aten.avg_pool2d.default": 1})
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_avg_pool2d_default": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_not(["torch.ops.higher_order.executorch_call_delegate"])
         )
 
@@ -79,11 +71,7 @@ def test_fp32_avgpool2d_count_include_pad_unsupported(self):
             Tester(self.AvgPool2d(count_include_pad=True), inputs)
             .export()
             .check_count({"torch.ops.aten.avg_pool2d.default": 1})
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_avg_pool2d_default": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_not(["torch.ops.higher_order.executorch_call_delegate"])
         )
 
@@ -96,10 +84,6 @@ def test_fp32_avgpool2d_divisor_override(self):
             Tester(self.AvgPool2d(divisor_override=5), inputs)
             .export()
             .check_count({"torch.ops.aten.avg_pool2d.default": 1})
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_avg_pool2d_default": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_not(["torch.ops.higher_order.executorch_call_delegate"])
         )
diff --git a/backends/xnnpack/test/ops/bilinear2d.py b/backends/xnnpack/test/ops/bilinear2d.py
index ab9d3d3c11..bf89e2196f 100644
--- a/backends/xnnpack/test/ops/bilinear2d.py
+++ b/backends/xnnpack/test/ops/bilinear2d.py
@@ -65,12 +65,15 @@ def forward(self, x):
             )
             return a
 
+    # Since we may or may not enable dim order, use these ops only for
+    # check_not since we have `to_copy` and `to_dim_order_copy` in the list.
     ops = {
         "executorch_exir_dialects_edge__ops_aten_sub_Tensor",
         "executorch_exir_dialects_edge__ops_aten_mul_Tensor",
         "executorch_exir_dialects_edge__ops_aten_index_Tensor",
         "executorch_exir_dialects_edge__ops_aten_arange_start_step",
         "executorch_exir_dialects_edge__ops_aten__to_copy_default",
+        "executorch_exir_dialects_edge__ops_dim_order_ops__to_dim_order_copy_default",
         "executorch_exir_dialects_edge__ops_aten_add_Tensor",
         "executorch_exir_dialects_edge__ops_aten_clamp_default",
     }
@@ -80,9 +83,7 @@ def test_fp32_static_resize_bilinear2d(self):
         (
             Tester(self.StaticResizeBilinear2dModule(), example_inputs)
             .export()
-            .to_edge()
-            .check(self.ops)
-            .partition()
+            .to_edge_transform_and_lower()
             .check_not(self.ops)
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .to_executorch()
@@ -90,14 +91,12 @@ def test_fp32_static_resize_bilinear2d(self):
             .run_method_and_compare_outputs()
         )
 
-    def test_fp32_static_resize_bilinear2d_with_align_cornesr(self):
+    def test_fp32_static_resize_bilinear2d_with_align_corners(self):
         example_inputs = (torch.randn(2, 3, 4, 5),)
         (
             Tester(self.StaticResizeBilinear2dModuleWithAlignCorners(), example_inputs)
             .export()
-            .to_edge()
-            .check(self.ops)
-            .partition()
+            .to_edge_transform_and_lower()
             .check_not(self.ops)
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .to_executorch()
@@ -111,13 +110,7 @@ def test_fp32_static_resize_bilinear2d_antialiased(self):
         (
             Tester(self.Bilinear2dAntiAlias(), example_inputs)
             .export()
-            .to_edge()
-            .check_count(
-                {
-                    "executorch_exir_dialects_edge__ops_aten__upsample_bilinear2d_aa_default": 2
-                }
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count(
                 {
                     "executorch_exir_dialects_edge__ops_aten__upsample_bilinear2d_aa_default": 2
diff --git a/backends/xnnpack/test/ops/bmm.py b/backends/xnnpack/test/ops/bmm.py
new file mode 100644
index 0000000000..1c6235e5f7
--- /dev/null
+++ b/backends/xnnpack/test/ops/bmm.py
@@ -0,0 +1,46 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import unittest
+
+import torch
+from executorch.backends.xnnpack.test.tester import Tester
+
+
+class TestBMM(unittest.TestCase):
+    class BMM(torch.nn.Module):
+        def __init__(self):
+            super().__init__()
+
+        def forward(self, x, y):
+            return torch.bmm(x, y)
+
+    def _test_bmm(self, inputs):
+        (
+            Tester(self.BMM(), inputs)
+            .export()
+            .check_count({"torch.ops.aten.bmm.default": 1})
+            .to_edge_transform_and_lower()
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
+            .check_not(["executorch_exir_dialects_edge__ops_aten_bmm_default"])
+            .to_executorch()
+            .serialize()
+            .run_method_and_compare_outputs()
+        )
+
+    def test_fp16_bmm(self):
+        inputs = (
+            torch.randn(2, 3, 4).to(torch.float16),
+            torch.randn(2, 4, 6).to(torch.float16),
+        )
+        self._test_bmm(inputs)
+
+    def test_fp32_bmm(self):
+        inputs = (
+            torch.randn(2, 3, 4),
+            torch.randn(2, 4, 6),
+        )
+        self._test_bmm(inputs)
diff --git a/backends/xnnpack/test/ops/cat.py b/backends/xnnpack/test/ops/cat.py
index 15524c0134..23fca91f5b 100644
--- a/backends/xnnpack/test/ops/cat.py
+++ b/backends/xnnpack/test/ops/cat.py
@@ -56,11 +56,7 @@ def _test_cat(self, module, inputs, cat_num=1, quant=False, quant_ops=2):
                 }
             )
 
-        (
-            tester.to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_cat": 1})
-            .partition()
-        )
+        tester.to_edge_transform_and_lower()
 
         if quant:
             tester.check_not(["torch.ops.quantized_decomposed"])
@@ -155,9 +151,7 @@ def test_fp32_cat_unsupported(self):
             Tester(self.Cat5(), inputs)
             .export()
             .check_count({"torch.ops.aten.cat": 1})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_cat": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"executorch_exir_dialects_edge__ops_aten_cat": 1})
         )
 
diff --git a/backends/xnnpack/test/ops/ceil.py b/backends/xnnpack/test/ops/ceil.py
index 8d59f3b35d..6dbebf3650 100644
--- a/backends/xnnpack/test/ops/ceil.py
+++ b/backends/xnnpack/test/ops/ceil.py
@@ -24,9 +24,7 @@ def _test_ceil(self, inputs):
             Tester(self.Ceil(), inputs)
             .export()
             .check_count({"torch.ops.aten.ceil.default": 1})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_ceil_default": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_ceil_default"])
             .to_executorch()
diff --git a/backends/xnnpack/test/ops/clamp.py b/backends/xnnpack/test/ops/clamp.py
index c52fd011f8..9fb8935553 100644
--- a/backends/xnnpack/test/ops/clamp.py
+++ b/backends/xnnpack/test/ops/clamp.py
@@ -26,9 +26,7 @@ def _test_clamp(self, module, inputs):
             Tester(module, inputs)
             .export()
             .check_count({"torch.ops.aten.clamp.default": 1})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_clamp_default": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_clamp_default"])
             .to_executorch()
@@ -64,9 +62,7 @@ def test_qs8_clamp(self):
             .export()
             .check_count({"torch.ops.aten.clamp.default": 1})
             .check(["torch.ops.quantized_decomposed"])
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_clamp_default": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
diff --git a/backends/xnnpack/test/ops/conv1d.py b/backends/xnnpack/test/ops/conv1d.py
index 1759b1452d..833ad69da6 100644
--- a/backends/xnnpack/test/ops/conv1d.py
+++ b/backends/xnnpack/test/ops/conv1d.py
@@ -7,13 +7,14 @@
 import unittest
 
 import torch
-from executorch.backends.xnnpack.partition.xnnpack_partitioner import (
-    XnnpackFloatingPointPartitioner,
+from executorch.backends.xnnpack.partition.config.xnnpack_config import (
+    ConfigPrecisionType,
 )
+from executorch.backends.xnnpack.partition.xnnpack_partitioner import XnnpackPartitioner
 from executorch.backends.xnnpack.test.test_xnnpack_utils import randomize_bn
 
 from executorch.backends.xnnpack.test.tester import RunPasses, Tester
-from executorch.backends.xnnpack.test.tester.tester import Partition
+from executorch.backends.xnnpack.test.tester.tester import ToEdgeTransformAndLower
 from executorch.exir.passes.constant_prop_pass import constant_prop_pass
 
 
@@ -93,8 +94,8 @@ def _test_conv1d(
         conv_count,
         quantized=False,
         dynamic_shape=None,
-        partition=None,
         passes=None,
+        stage=None,
         skip_to_executorch=False,
     ):
         tester = (
@@ -104,15 +105,9 @@ def _test_conv1d(
                 else Tester(module, inputs)
             )
             .export()
-            .check_count({"torch.ops.aten.conv1d.default": conv_count})
-            .to_edge()
-            .check_count(
-                {
-                    "executorch_exir_dialects_edge__ops_aten_convolution_default": conv_count
-                }
-            )
             .run_passes(passes)
-            .partition(partition)
+            .check_count({"torch.ops.aten.conv1d.default": conv_count})
+            .to_edge_transform_and_lower(stage)
             .check_not(["executorch_exir_dialects_edge__ops_aten_convolution_default"])
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
         )
@@ -170,7 +165,11 @@ def test_qs8_conv1d_with_floating_point_partitioner(self):
             1,
             quantized=True,
             dynamic_shape=dynamic_shapes,
-            partition=Partition(XnnpackFloatingPointPartitioner()),
+            stage=ToEdgeTransformAndLower(
+                partitioners=[
+                    XnnpackPartitioner(config_precisions=ConfigPrecisionType.FP32)
+                ]
+            ),
             passes=RunPasses(pass_functions=[constant_prop_pass]),
             skip_to_executorch=True,
         )
diff --git a/backends/xnnpack/test/ops/conv2d.py b/backends/xnnpack/test/ops/conv2d.py
index 4a281e2265..95b22bb3f8 100644
--- a/backends/xnnpack/test/ops/conv2d.py
+++ b/backends/xnnpack/test/ops/conv2d.py
@@ -164,14 +164,13 @@ def _test(
         (
             tester.export()
             .check_count({"torch.ops.aten.conv2d": conv_count})
-            .to_edge()
-            .check_count(
-                {
-                    "executorch_exir_dialects_edge__ops_aten_convolution_default": conv_count
-                }
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_not(["executorch_exir_dialects_edge__ops_aten_convolution_default"])
+            .check_not(
+                [
+                    "executorch_exir_dialects_edge__ops__native_batch_norm_legit_no_training_default"
+                ]
+            )
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .to_executorch()
             .serialize()
diff --git a/backends/xnnpack/test/ops/div.py b/backends/xnnpack/test/ops/div.py
index 3815b2f084..9bca5feed4 100644
--- a/backends/xnnpack/test/ops/div.py
+++ b/backends/xnnpack/test/ops/div.py
@@ -32,9 +32,7 @@ def _test_div(self, inputs):
             Tester(self.Div(), inputs)
             .export()
             .check_count({"torch.ops.aten.div.Tensor": 1})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_div_Tensor": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_div_Tensor"])
             .to_executorch()
@@ -62,9 +60,7 @@ def test_fp32_div_single_input(self):
             Tester(self.DivSingleInput(), inputs)
             .export()
             .check_count({"torch.ops.aten.div.Tensor": 1})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_div_Tensor": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_div_Tensor"])
             .to_executorch()
diff --git a/backends/xnnpack/test/ops/elu.py b/backends/xnnpack/test/ops/elu.py
index 03bdfc508d..f976c29d79 100644
--- a/backends/xnnpack/test/ops/elu.py
+++ b/backends/xnnpack/test/ops/elu.py
@@ -28,9 +28,7 @@ def _test_elu(self, inputs):
             Tester(self.ELU(), inputs)
             .export()
             .check_count({"torch.ops.aten.elu.default": 1})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_elu_default": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
@@ -42,17 +40,17 @@ def _test_elu(self, inputs):
             .run_method_and_compare_outputs()
         )
 
-    @unittest.skip("T171810227 - Missing recomposition for ELU")
+    @unittest.skip("PyTorch Pin Update Required")
     def _test_fp16_elu(self):
         inputs = (torch.randn(1, 3, 3).to(torch.float16),)
         self._test_elu(inputs)
 
-    @unittest.skip("T171810227 - Missing recomposition for ELU")
+    @unittest.skip("PyTorch Pin Update Required")
     def _test_fp32_elu(self):
         inputs = (torch.randn(1, 3, 3),)
         self._test_elu(inputs)
 
-    @unittest.skip("T171810227 - Missing recomposition for ELU")
+    @unittest.skip("Update Quantizer to quantize Elu")
     def _test_qs8_elu(self):
         inputs = (torch.randn(1, 3, 4, 4),)
         (
@@ -61,9 +59,7 @@ def _test_qs8_elu(self):
             .export()
             .check_count({"torch.ops.aten.elu.default": 1})
             .check(["torch.ops.quantized_decomposed"])
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_elu_default": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
@@ -76,7 +72,7 @@ def _test_qs8_elu(self):
             .run_method_and_compare_outputs()
         )
 
-    @unittest.skip("T171810227 - Missing recomposition for ELU")
+    @unittest.skip("Update Quantizer to quantize Elu")
     def _test_qs8_elu_functional(self):
         inputs = (torch.randn(1, 3, 4, 4),)
         (
@@ -85,9 +81,7 @@ def _test_qs8_elu_functional(self):
             .export()
             .check_count({"torch.ops.aten.elu.default": 1})
             .check(["torch.ops.quantized_decomposed"])
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_elu_default": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
diff --git a/backends/xnnpack/test/ops/floor.py b/backends/xnnpack/test/ops/floor.py
index cb65ca2aa5..dfbe7fb18c 100644
--- a/backends/xnnpack/test/ops/floor.py
+++ b/backends/xnnpack/test/ops/floor.py
@@ -24,9 +24,7 @@ def _test_floor(self, inputs):
             Tester(self.Floor(), inputs)
             .export()
             .check_count({"torch.ops.aten.floor.default": 1})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_floor_default": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_floor_default"])
             .to_executorch()
diff --git a/backends/xnnpack/test/ops/hardswish.py b/backends/xnnpack/test/ops/hardswish.py
index 7b54810f03..899a119ed4 100644
--- a/backends/xnnpack/test/ops/hardswish.py
+++ b/backends/xnnpack/test/ops/hardswish.py
@@ -28,11 +28,7 @@ def _test_hardswish(self, inputs):
             Tester(self.Hardswish(), inputs)
             .export()
             .check_count({"torch.ops.aten.hardswish.default": 1})
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_hardswish_default": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
@@ -44,28 +40,21 @@ def _test_hardswish(self, inputs):
             .run_method_and_compare_outputs()
         )
 
-    @unittest.skip("T158969708 - Missing recomposition pass for hardswish")
-    def _test_fp16_hardswish(self):
+    def test_fp16_hardswish(self):
         inputs = (torch.randn(1, 3, 3).to(torch.float16),)
         self._test_hardswish(inputs)
 
-    @unittest.skip("T158969708 - Missing recomposition pass for hardswish")
-    def _test_fp32_hardswish(self):
+    def test_fp32_hardswish(self):
         inputs = (torch.randn(1, 3, 3),)
         self._test_hardswish(inputs)
 
-    @unittest.skip("T158969708 - Missing recomposition pass for hardswish")
-    def _test_fp32_hardswish_functional(self):
+    def test_fp32_hardswish_functional(self):
         inputs = (torch.randn(1, 3, 3),)
         (
             Tester(self.HardswishFunctional(), inputs)
             .export()
             .check_count({"torch.ops.aten.hardswish.default": 1})
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_hardswish_default": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
diff --git a/backends/xnnpack/test/ops/hardtanh.py b/backends/xnnpack/test/ops/hardtanh.py
index d13624663c..e35e840e3c 100644
--- a/backends/xnnpack/test/ops/hardtanh.py
+++ b/backends/xnnpack/test/ops/hardtanh.py
@@ -29,11 +29,7 @@ def test_fp32_hardtanh(self):
                 Tester(self.HardTanh(), (input,))
                 .export()
                 .check_count({"torch.ops.aten.hardtanh.default": 1})
-                .to_edge()
-                .check_count(
-                    {"executorch_exir_dialects_edge__ops_aten_hardtanh_default": 1}
-                )
-                .partition()
+                .to_edge_transform_and_lower()
                 .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
                 .check_not(["executorch_exir_dialects_edge__ops_aten_hardtanh_default"])
                 .to_executorch()
@@ -48,11 +44,7 @@ def test_fp32_hardtanh_bound(self):
                 Tester(self.HardTanh(-2.0, 2.0), (input,))
                 .export()
                 .check_count({"torch.ops.aten.hardtanh.default": 1})
-                .to_edge()
-                .check_count(
-                    {"executorch_exir_dialects_edge__ops_aten_hardtanh_default": 1}
-                )
-                .partition()
+                .to_edge_transform_and_lower()
                 .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
                 .check_not(["executorch_exir_dialects_edge__ops_aten_hardtanh_default"])
                 .to_executorch()
@@ -74,11 +66,7 @@ def test_qs8_hardtanh(self):
                         torch.ops.aten.hardtanh.default: 1,
                     }
                 )
-                .to_edge()
-                .check_count(
-                    {"executorch_exir_dialects_edge__ops_aten_hardtanh_default": 1}
-                )
-                .partition()
+                .to_edge_transform_and_lower()
                 .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
                 .check_not(
                     [
diff --git a/backends/xnnpack/test/ops/leaky_relu.py b/backends/xnnpack/test/ops/leaky_relu.py
index ae5f2e3197..32f7348697 100644
--- a/backends/xnnpack/test/ops/leaky_relu.py
+++ b/backends/xnnpack/test/ops/leaky_relu.py
@@ -30,11 +30,7 @@ def _test_leaky_relu(self, module, inputs):
             Tester(module, inputs)
             .export()
             .check_count({"torch.ops.aten.leaky_relu.default": 1})
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_leaky_relu_default": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
@@ -62,11 +58,7 @@ def test_fp32_leaky_relu_functional(self):
             Tester(self.LeakyReLUFunctional(), inputs)
             .export()
             .check_count({"torch.ops.aten.leaky_relu.default": 1})
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_leaky_relu_default": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
@@ -79,7 +71,7 @@ def test_fp32_leaky_relu_functional(self):
         )
 
     @unittest.skip("T172863987 - Missing quantizer support.")
-    def test_qs8_leaky_relu(self):
+    def _test_qs8_leaky_relu(self):
         inputs = (torch.randn(1, 3, 3),)
         (
             Tester(self.LeakyReLU(negative_slope=0.2), inputs)
@@ -91,11 +83,7 @@ def test_qs8_leaky_relu(self):
                     "quantized_decomposed::quantize_per_tensor": 3,
                 }
             )
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_leaky_relu_default": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
@@ -109,7 +97,7 @@ def test_qs8_leaky_relu(self):
         )
 
     @unittest.skip("T172863987 - Missing quantizer support.")
-    def test_qs8_leaky_relu_default_slope(self):
+    def _test_qs8_leaky_relu_default_slope(self):
         """
         The leaky_relu visitor has logic to handle the default slope, since it's apparently not
         passed through on export. This test ensures that this matches the eager mode behavior.
@@ -126,11 +114,7 @@ def test_qs8_leaky_relu_default_slope(self):
                     "quantized_decomposed::quantize_per_tensor": 3,
                 }
             )
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_leaky_relu_default": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
diff --git a/backends/xnnpack/test/ops/linear.py b/backends/xnnpack/test/ops/linear.py
index 2ce1c2d3c3..d8de79f283 100644
--- a/backends/xnnpack/test/ops/linear.py
+++ b/backends/xnnpack/test/ops/linear.py
@@ -10,20 +10,183 @@
 from typing import Optional, Tuple
 
 import torch
-from executorch.backends.xnnpack.partition.xnnpack_partitioner import (
-    XnnpackDynamicallyQuantizedPartitioner,
+from executorch.backends.xnnpack.partition.config.xnnpack_config import (
+    ConfigPrecisionType,
 )
+from executorch.backends.xnnpack.partition.xnnpack_partitioner import XnnpackPartitioner
 
 from executorch.backends.xnnpack.test.tester import Quantize, Tester
-from executorch.backends.xnnpack.test.tester.tester import Partition
+from executorch.backends.xnnpack.test.tester.tester import (
+    Partition,
+    ToEdgeTransformAndLower,
+)
 
 from torch.ao.quantization.quantizer.xnnpack_quantizer import (
     get_symmetric_quantization_config,
 )
 from torch.ao.quantization.quantizer.xnnpack_quantizer_utils import QuantizationConfig
 
+try:
+    from torchao.quantization.quant_api import (
+        int8_dynamic_activation_int4_weight,
+        quantize_,
+        unwrap_tensor_subclass,
+    )
+
+    torchao_installed = True
+except:
+    torchao_installed = False
+
+
+# Pytorch Modules Used for Testing
+class BaseLinear(torch.nn.Module):
+    def __init__(
+        self,
+        in_size: int = 2,
+        input_channels: int = 4,
+        output_channels: int = 4,
+        dtype: torch.dtype = torch.float,
+        use_bias: bool = False,
+    ):
+        super().__init__()
+        self.linear = torch.nn.Linear(
+            input_channels, output_channels, bias=use_bias
+        ).to(dtype=dtype)
+
+        self.ic = input_channels
+        self.oc = output_channels
+
+        assert dtype in [torch.float, torch.half], "Unsupported op dtype"
+        self.op_dtype = dtype
+        self.in_size = in_size
+
+    def forward(self, x):
+        return self.linear(x)
+
+    def get_inputs(self):
+        return (torch.randn(1, self.in_size, self.ic).to(self.op_dtype),)
+
+
+class AddMMModule(torch.nn.Module):
+    def __init__(self, in_size, out_size):
+        super().__init__()
+        self.mat = torch.nn.Parameter(torch.randn(in_size, out_size))
+        self.bias = torch.nn.Parameter(torch.randn(1, out_size))
+
+    def forward(self, x):
+        return torch.addmm(self.bias, x, self.mat)
+
+
+class LinearReluModule(torch.nn.Module):
+    def __init__(self, in_size, out_size, use_bias, dtype=torch.float):
+        super().__init__()
+        self.dtype = dtype
+        self.linear = torch.nn.Linear(in_size, out_size, bias=use_bias).to(dtype=dtype)
+
+    def forward(self, x):
+        return torch.nn.functional.relu(self.linear(x))
+
+    def get_inputs(self):
+        return (torch.randn(1, self.in_size, self.ic).to(self.op_dtype),)
+
+
+class LinearParallelSequentialModule(torch.nn.Module):
+    def __init__(
+        self,
+        in_size=2,
+        input_size=4,
+        intermediate_size=5,
+        output_size=3,
+        dtype=torch.float,
+    ):
+        super().__init__()
+        self.linear1_weight = torch.nn.Parameter(
+            torch.rand(intermediate_size, input_size)
+        )
+        self.linear1_bias = torch.nn.Parameter(torch.rand(intermediate_size))
+
+        self.linear2_weight = torch.nn.Parameter(
+            torch.rand(intermediate_size, input_size)
+        )
+        self.linear2_bias = torch.nn.Parameter(torch.rand(intermediate_size))
+
+        self.linear3_weight = torch.nn.Parameter(
+            torch.rand(output_size, intermediate_size)
+        )
+        self.linear3_bias = torch.nn.Parameter(torch.rand(output_size))
+        self.in_size = in_size
+        self.input_size = input_size
+        self.dtype = torch.float
+
+    def forward(self, x, y):
+        a = torch.nn.functional.linear(x, self.linear1_weight, self.linear1_bias)
+        b = torch.nn.functional.linear(y, self.linear2_weight, self.linear2_bias)
+        c = torch.nn.functional.linear(b, self.linear3_weight, self.linear3_bias)
+        return (a, c)
+
+    def get_inputs(self):
+        return (
+            torch.rand(self.in_size, self.input_size, dtype=self.dtype),
+            torch.rand(self.in_size, self.input_size, dtype=self.dtype),
+        )
+
+
+class LinearSequential(torch.nn.Module):
+    def __init__(
+        self,
+        in_size=2,
+        input_size=4,
+        intermediate_size=5,
+        output_size=3,
+        dtype=torch.float,
+    ):
+        super().__init__()
+        self.linear1_weight = torch.nn.Parameter(
+            torch.rand(intermediate_size, input_size)
+        )
+        self.linear1_bias = torch.nn.Parameter(torch.rand(intermediate_size))
+
+        self.linear2_weight = torch.nn.Parameter(
+            torch.rand(output_size, intermediate_size)
+        )
+        self.linear2_bias = torch.nn.Parameter(torch.rand(output_size))
+        self.in_size = in_size
+        self.input_size = input_size
+        self.dtype = torch.float
+
+    def forward(self, x):
+        a = torch.nn.functional.linear(x, self.linear1_weight, self.linear1_bias)
+        b = torch.nn.functional.linear(a, self.linear2_weight, self.linear2_bias)
+        return b
+
+    def get_inputs(self):
+        return (torch.rand(self.in_size, self.input_size, dtype=torch.float),)
+
 
 class TestLinear(unittest.TestCase):
+    """
+    Test Class for XNNPACK Linear Operators.
+
+    Notes:
+        - XNNPACK Does not support Per Tensor Quantized Weights with Dynamic Activations
+        - XNNPACK Only supports Per-Token Activation, so Dynamic per-tensor Quantization
+          As done by the default dynamic quantization flow does Per-Token Quantization
+          Activation under the hood, where the torch.nn.Module is doing Per-Tensor Quantization
+          on the Activation. This is sufficient because Per-Token Quantization on Activations
+          should produce strictly better results compared to Per-Tensor Quantization
+    """
+
+    @staticmethod
+    def _get_4b_dqconfig() -> QuantizationConfig:
+        # Returns a QuantizationConfig for 4b dynamic quantization for XNNPACK.
+        qconfig: QuantizationConfig = get_symmetric_quantization_config(
+            is_per_channel=True,
+            is_dynamic=True,
+            weight_qmin=-8,
+            weight_qmax=7,
+        )
+        return qconfig
+
     def test_fp16_linear(self):
         for use_bias in (True, False):
             for num_batch_dims in range(1, 3):
@@ -61,33 +224,13 @@ def test_qc8_linear(self):
                 )
 
     def test_fp32_addmm(self):
-        """
-        Note that the ConvertToLinear pass requires the weight matrix to be transposed.
-        """
-
-        class AddMMModule(torch.nn.Module):
-            def __init__(self, in_size, out_size):
-                super().__init__()
-                self.mat = torch.nn.Parameter(torch.randn(out_size, in_size))
-                self.bias = torch.nn.Parameter(torch.randn(1, out_size))
-
-            def forward(self, x):
-                return torch.addmm(self.bias, x, torch.transpose(self.mat, 0, 1))
-
+        # Note that the ConvertToLinear pass requires the weight matrix to be transposed.
         self._test_linear(
             lambda in_size, out_size: AddMMModule(in_size, out_size),
             uses_bias=True,
         )
 
     def test_fp32_linear_fused_relu(self):
-        class LinearReluModule(torch.nn.Module):
-            def __init__(self, in_size, out_size, use_bias):
-                super().__init__()
-                self.linear = torch.nn.Linear(in_size, out_size, bias=use_bias)
-
-            def forward(self, x):
-                return torch.nn.functional.relu(self.linear(x))
-
         for use_bias in (True, False):
             for num_batch_dims in range(1, 3):
                 self._test_linear(
@@ -101,14 +244,6 @@ def forward(self, x):
                 )
 
     def test_qs8_linear_fused_relu(self):
-        class LinearReluModule(torch.nn.Module):
-            def __init__(self, in_size, out_size, use_bias):
-                super().__init__()
-                self.linear = torch.nn.Linear(in_size, out_size, bias=use_bias)
-
-            def forward(self, x):
-                return torch.nn.functional.relu(self.linear(x))
-
         for use_bias in (True, False):
             for num_batch_dims in range(1, 3):
                 self._test_linear(
@@ -134,21 +269,6 @@ def test_qs8_linear(self):
                     quant_type="per_tensor",
                 )
 
-    @unittest.skip("XNNPACK currently only supports per-channel dynamic quantization.")
-    def _test_qd8_per_tensor_linear(self):
-        for uses_bias in (False, True):
-            inputs = (torch.randn(2, 4),)
-            module = torch.nn.Linear(4, 5, bias=uses_bias)
-            dynamic_shapes = ({0: torch.export.Dim("batch", max=100)},)
-
-            self._test_dqlinear(
-                module,
-                inputs,
-                dynamic_shapes=dynamic_shapes,
-                is_per_channel=False,
-                uses_bias=uses_bias,
-            )
-
     def test_qd8_per_channel_linear(self):
         for uses_bias in (False, True):
             inputs = (torch.randn(2, 4),)
@@ -162,19 +282,6 @@ def test_qd8_per_channel_linear(self):
                 uses_bias=uses_bias,
             )
 
-    @staticmethod
-    def _get_4b_dqconfig() -> QuantizationConfig:
-        """
-        Returns a QuantizationConfig for 4b dynamic quantization for XNNPACK.
-        """
-        qconfig: QuantizationConfig = get_symmetric_quantization_config(
-            is_per_channel=True,
-            is_dynamic=True,
-            weight_qmin=-8,
-            weight_qmax=7,
-        )
-        return qconfig
-
     def test_qd8_per_channel_4w_linear(self):
         qconfig = self._get_4b_dqconfig()
         input_channels = [2, 63]
@@ -263,38 +370,12 @@ def test_qd8_per_channel_linear_with_two_batch(self):
         )
 
     def test_qd8_per_channel_linear_sequential(self):
-        in_size = 2
-        input_size = 4
-        intermediate_size = 5
-        output_size = 3
-
-        class LinearSequential(torch.nn.Module):
-            def __init__(self):
-                super().__init__()
-                self.linear1_weight = torch.nn.Parameter(
-                    torch.rand(intermediate_size, input_size)
-                )
-                self.linear1_bias = torch.nn.Parameter(torch.rand(intermediate_size))
-
-                self.linear2_weight = torch.nn.Parameter(
-                    torch.rand(output_size, intermediate_size)
-                )
-                self.linear2_bias = torch.nn.Parameter(torch.rand(output_size))
-
-            def forward(self, x):
-                a = torch.nn.functional.linear(
-                    x, self.linear1_weight, self.linear1_bias
-                )
-                b = torch.nn.functional.linear(
-                    a, self.linear2_weight, self.linear2_bias
-                )
-                return b
-
-        inputs = (torch.rand(in_size, input_size, dtype=torch.float),)
+        lin_mod = LinearSequential()
+        inputs = lin_mod.get_inputs()
         dynamic_shapes = ({0: torch.export.Dim("batch", max=100)},)
 
         self._test_dqlinear(
-            LinearSequential(),
+            lin_mod,
             inputs,
             dynamic_shapes=dynamic_shapes,
             linear_count=2,
@@ -303,53 +384,16 @@ def forward(self, x):
             atol=1e-1,
         )
 
-    def test_qd8_per_channel_linear_parellel_and_sequential(self):
-        in_size = 2
-        input_size = 4
-        intermediate_size = 5
-        output_size = 3
-
-        class LinearModule(torch.nn.Module):
-            def __init__(self):
-                super().__init__()
-                self.linear1_weight = torch.nn.Parameter(
-                    torch.rand(intermediate_size, input_size)
-                )
-                self.linear1_bias = torch.nn.Parameter(torch.rand(intermediate_size))
-
-                self.linear2_weight = torch.nn.Parameter(
-                    torch.rand(intermediate_size, input_size)
-                )
-                self.linear2_bias = torch.nn.Parameter(torch.rand(intermediate_size))
-
-                self.linear3_weight = torch.nn.Parameter(
-                    torch.rand(output_size, intermediate_size)
-                )
-                self.linear3_bias = torch.nn.Parameter(torch.rand(output_size))
-
-            def forward(self, x, y):
-                a = torch.nn.functional.linear(
-                    x, self.linear1_weight, self.linear1_bias
-                )
-                b = torch.nn.functional.linear(
-                    y, self.linear2_weight, self.linear2_bias
-                )
-                c = torch.nn.functional.linear(
-                    b, self.linear3_weight, self.linear3_bias
-                )
-                return (a, c)
-
-        inputs = (
-            torch.rand(in_size, input_size, dtype=torch.float),
-            torch.rand(in_size, input_size, dtype=torch.float),
-        )
+    def test_qd8_per_channel_linear_parallel_and_sequential(self):
+        lin_mod = LinearParallelSequentialModule()
+        inputs = lin_mod.get_inputs()
         dynamic_shapes = (
             {0: torch.export.Dim("batch", max=100)},
             {0: torch.export.Dim("batch2", max=100)},
         )
 
         self._test_dqlinear(
-            LinearModule(),
+            lin_mod,
             inputs,
             dynamic_shapes=dynamic_shapes,
             linear_count=3,
@@ -358,413 +402,59 @@ def forward(self, x, y):
             atol=1e-1,
         )
 
-    class ManualDQLinear(torch.nn.Module):
-        def __init__(
-            self,
-            input_channels: int = 4,
-            output_channels: int = 4,
-            dtype: torch.dtype = torch.float,
-            weight_n_bit: int = 4,
-            group_size: int = 0,
-            force_groupwise_quant: bool = False,
-            use_bias: bool = False,
-        ):
-            super().__init__()
-
-            self.ic = input_channels
-            self.oc = output_channels
-
-            assert dtype in [torch.float, torch.half], "Unsupported op dtype"
-            self.op_dtype = dtype
-
-            self.group_size = self.ic if group_size == 0 else group_size
-            self.num_groups = 1
-            if self.group_size != self.ic:
-                assert self.ic % self.group_size == 0
-                assert self.group_size % 8 == 0  # TODO make this 16
-                self.num_groups = self.ic // self.group_size
-
-            assert weight_n_bit in [4, 8], "Unsupported weight_n_bit"
-            self.w_n_bit = weight_n_bit
-            self.w_quant_min, self.w_quant_max = self.get_min_max(self.w_n_bit)
-
-            self.w = torch.nn.Parameter(
-                torch.randn(self.oc, self.ic), requires_grad=False
-            )
-            self.w_q = torch.nn.Parameter(
-                torch.zeros(self.oc, self.ic), requires_grad=False
-            )
-            # Quantize the weights as per folded setup
-            if self.group_size != self.ic or force_groupwise_quant:
-                self.w_scales = torch.nn.Parameter(
-                    torch.zeros(self.oc, self.num_groups), requires_grad=False
-                )
-                self.w_zero_points = torch.nn.Parameter(
-                    torch.zeros(self.oc, self.num_groups), requires_grad=False
-                )
-                self.quant_weight_per_channel_group()
-            else:  # per_channel quantization
-                self.w_scales = torch.nn.Parameter(
-                    torch.zeros(self.oc), requires_grad=False
-                )
-                self.w_zero_points = torch.nn.Parameter(
-                    torch.zeros(self.oc), requires_grad=False
-                )
-                self.quant_weight_per_channel()
-
-            self.bias = (
-                torch.nn.Parameter(
-                    torch.randn(self.oc).to(self.op_dtype), requires_grad=False
-                )
-                if use_bias
-                else None
-            )
-
-        def get_min_max(self, n_bit: int = 4):
-            max_int = 2 ** (n_bit - 1) - 1
-            min_int = -(2 ** (n_bit - 1))
-            return min_int, max_int
-
-        def get_channel_qparams_symmetric(
-            self,
-            w: torch.Tensor,
-            n_bit: int = 4,
-            precision: torch.dtype = torch.float32,
-        ):
-            assert w.dim() == 2
-
-            to_quant = w.to(precision)
-            assert torch.isnan(to_quant).sum() == 0
-
-            max_val = to_quant.amax(dim=1, keepdim=True)
-            min_val = to_quant.amin(dim=1, keepdim=True)
-            min_val_neg = torch.min(min_val, torch.zeros_like(min_val))
-            max_val_pos = torch.max(max_val, torch.zeros_like(max_val))
-
-            min_int, max_int = self.get_min_max(n_bit)
-
-            max_val_abs = torch.max(-min_val_neg, max_val_pos)
-            scales = max_val_abs / (float(max_int - min_int) / 2)
-            scales = torch.max(
-                scales, torch.full_like(scales, torch.finfo(torch.float32).eps)
-            )
-            zeros = torch.full_like(scales, 0)
-            return scales.to(precision).reshape(w.shape[0]), zeros.to(
-                precision
-            ).reshape(w.shape[0]).reshape(w.shape[0])
-
-        # Note: not using from torchao.quantization.quant_primitives because it will run into op registraion issues
-        def get_group_qparams_symmetric(
-            self, w, n_bit=4, groupsize=128, precision=torch.float32
-        ):
-            # needed for GPTQ with padding
-            if groupsize > w.shape[-1]:
-                groupsize = w.shape[-1]
-            assert groupsize > 1
-            assert w.shape[-1] % groupsize == 0
-            assert w.dim() == 2
-
-            to_quant = w.reshape(-1, groupsize)
-            assert torch.isnan(to_quant).sum() == 0
-
-            max_val = to_quant.amax(dim=1, keepdim=True)
-            min_val = to_quant.amin(dim=1, keepdim=True)
-            min_val_neg = torch.min(min_val, torch.zeros_like(min_val))
-            max_val_pos = torch.max(max_val, torch.zeros_like(max_val))
-
-            max_val_abs = torch.max(-min_val_neg, max_val_pos)
-            max_int = 2 ** (n_bit - 1) - 1
-            min_int = -(2 ** (n_bit - 1))
-
-            scales = max_val_abs / (float(max_int - min_int) / 2)
-            scales = torch.max(
-                scales, torch.full_like(scales, torch.finfo(torch.float32).eps)
-            )
-            # TODO: make sure abs(scales) is not too small?
-            zeros = torch.full_like(scales, 0)
-            return scales.to(precision).reshape(w.shape[0], -1), zeros.to(
-                precision
-            ).reshape(w.shape[0], -1)
-
-        # Note: not using from torchao.quantization.quant_primitives because it will run into op registraion issues
-        def group_quantize_tensor_symmetric(
-            self, w, n_bit=4, group_size=128, precision=torch.float32
-        ):
-            scales, zeros = self.get_group_qparams_symmetric(
-                w, n_bit, group_size, precision
-            )
-            n_bit = 4
-            max_int = 2 ** (n_bit - 1) - 1
-            min_int = -(2 ** (n_bit - 1))
-            # TODO: currently we don't know how to express torch.int4, we'll
-            # add torch.int4 to core later
-            w_int8 = torch.ops.quantized_decomposed.quantize_per_channel_group(
-                w, scales, zeros, min_int, max_int, torch.int8, group_size
-            )
-
-            return w_int8, scales, zeros
-
-        def fwd_input_per_token(self, input: torch.Tensor) -> torch.Tensor:
-            ip_quant_min = -128
-            ip_quant_max = 127
-            input = input.to(self.op_dtype)
-            (
-                ip_scales,
-                ip_zero_points,
-            ) = torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric(
-                input, torch.int8
-            )
-
-            input = torch.ops.quantized_decomposed.quantize_per_token(
-                input,
-                ip_scales,
-                ip_zero_points,
-                ip_quant_min,
-                ip_quant_max,
-                torch.int8,
-            )
-            input = torch.ops.quantized_decomposed.dequantize_per_token(
-                input,
-                ip_scales,
-                ip_zero_points,
-                ip_quant_min,
-                ip_quant_max,
-                torch.int8,
-                self.op_dtype,
-            )
-            input = input.to(self.op_dtype)
-            return input
-
-        def quant_weight_per_channel(self):
-            (
-                self.w_scales.data,
-                self.w_zero_points.data,
-            ) = self.get_channel_qparams_symmetric(
-                self.w, n_bit=self.w_n_bit, precision=self.op_dtype
-            )
-            self.w_q.data = torch.ops.quantized_decomposed.quantize_per_channel(
-                self.w,
-                self.w_scales,
-                self.w_zero_points,
-                axis=0,
-                quant_min=self.w_quant_min,
-                quant_max=self.w_quant_max,
-                dtype=torch.int8,
-            )
-
-        def quant_weight_per_channel_group(self):
-            self.w_q.data, w, zp = self.group_quantize_tensor_symmetric(
-                self.w,
-                n_bit=self.w_n_bit,
-                group_size=self.group_size,
-            )
-            expected_min, expected_max = self.get_min_max(self.w_n_bit)
-            assert (
-                torch.min(self.w_q.data) >= expected_min
-            ), "Found smaller than min element in quantized weight tensor"
-            assert (
-                torch.max(self.w_q.data) <= expected_max
-            ), "Found larger than max element in quantized weight tensor"
-            assert (
-                w.ndim == 2 and zp.ndim == 2
-            ), f"Expecting 2d scales and zp tensors, but got {w.shape}, {zp.shape}"
-            self.w_scales.data, self.w_zero_points.data = w, zp
-
-        def fwd_weight_per_channel(self) -> torch.Tensor:
-            # This is HACKY because the dequant will produce fp32
-            return torch.ops.quantized_decomposed.dequantize_per_channel(
-                self.w_q,
-                self.w_scales,
-                self.w_zero_points,
-                axis=0,
-                quant_min=self.w_quant_min,
-                quant_max=self.w_quant_max,
-                dtype=torch.int8,  # Regardless of w_n_bit, convert to 4b later
-            )
-
-        def fwd_weight_per_channel_group(self) -> torch.Tensor:
-            return torch.ops.quantized_decomposed.dequantize_per_channel_group(
-                self.w_q,
-                self.w_scales,
-                self.w_zero_points,
-                self.w_quant_min,
-                self.w_quant_max,
-                dtype=torch.int8,  # Regardless of w_n_bit, convert to 4b later
-                group_size=self.group_size,
-                output_dtype=self.op_dtype,
-            )
-
-        def forward(self, input: torch.Tensor) -> torch.Tensor:
-            # Input
-            input = self.fwd_input_per_token(input).to(self.op_dtype)
-
-            # Weights
-            w = (
-                self.fwd_weight_per_channel_group()
-                if self.w_scales.ndim == 2
-                else self.fwd_weight_per_channel()
-            ).to(self.op_dtype)
-            assert isinstance(w, torch.Tensor)
-            return torch.nn.functional.linear(input, w, self.bias)
-
-    def _test_manual_dq_linear(
-        self,
-        mod: torch.nn.Module,
-        inputs: Tuple[torch.Tensor],
-        weight_groupwise: bool = False,
-        use_bias: bool = False,
-        atol: float = 1e-3,
-        rtol: float = 1e-3,
-    ):
-        linear_edge_op = (
-            "executorch_exir_dialects_edge__ops_aten_addmm_default"
-            if use_bias
-            else "executorch_exir_dialects_edge__ops_aten_mm_default"
-        )
-
-        weight_dq_edge_op = (
-            "executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_channel_group_default"
-            if weight_groupwise
-            else "executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_channel_default"
-        )
-
-        (
-            Tester(mod, inputs)
-            .export()
-            .to_edge()
-            .check_count(
-                {
-                    "executorch_exir_dialects_edge__ops_quantized_decomposed_choose_qparams_per_token_asymmetric_default": 1,
-                    "executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_token_default": 1,
-                    "executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_token_default": 1,
-                    weight_dq_edge_op: 1,
-                    linear_edge_op: 1,
-                }
-            )
-            .partition(Partition(partitioner=XnnpackDynamicallyQuantizedPartitioner()))
-            .check_count(
-                {
-                    "torch.ops.higher_order.executorch_call_delegate": 1,
-                }
-            )
-            .check_not(
-                [
-                    "executorch_exir_dialects_edge__ops_quantized_decomposed_choose_qparams_per_token_asymmetric_default",
-                    "executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_token_default",
-                    "executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_token_default",
-                    weight_dq_edge_op,
-                    linear_edge_op,
-                ]
-            )
-            .to_executorch()
-            .serialize()
-            .run_method_and_compare_outputs(atol=atol, rtol=rtol)
-        )
-
-    def _run_manual_dqlinear_tests(self, weight_n_bit: int, op_dtype: torch.dtype):
-        in_sizes = [1, 4, 4]
-        input_sizes = [4, 37, 17]
-        output_sizes = [4, 17, 37]
-
-        for use_bias in [True, False]:
-            for i, _ in enumerate(in_sizes):
-                in_size = int(in_sizes[i])
-                input_size = int(input_sizes[i])
-                output_size = int(output_sizes[i])
-                mod = self.ManualDQLinear(
-                    input_channels=input_size,
-                    output_channels=output_size,
-                    weight_n_bit=weight_n_bit,
-                    dtype=op_dtype,
-                    use_bias=use_bias,
-                )
-
-                inputs = (torch.randn(1, in_size, input_size).to(op_dtype),)
-                self._test_manual_dq_linear(mod, inputs, use_bias=use_bias)
-
-    def test_qd8_fp32_per_token_weight_per_channel_int8(self):
-        self._run_manual_dqlinear_tests(8, torch.float)
-
-    def test_qd8_fp32_per_token_weight_per_channel_int4(self):
-        self._run_manual_dqlinear_tests(4, torch.float)
-
-    # This fails because the output tensor dtype is different, but if you squint and ignore that and look at the values,
-    # it is not too bad.
-    # Difference: max: 0.042601585388183594, abs: 0.042601585388183594.
-    # -- Model vs. Reference --
-    #  Numel: 68, 68
-    # Median: -0.7754800915718079, -0.7755751013755798
-    #   Mean: -0.6128872036933899, -0.6143574714660645
-    #    Max: 12.518657684326172, 12.516003608703613
-    #    Min: -20.070953369140625, -20.077701568603516
-    @unittest.skip("Need to fix the dq_per_channel output dtype")
-    def _test_qd8_fp16_per_token_weight_per_channel_int8(self):
-        self._run_manual_dqlinear_tests(8, torch.float16)
-
-    @unittest.skip("Need to fix the dq_per_channel output dtype")
-    def _test_qd8_fp16_per_token_weight_per_channel_int4(self):
-        self._run_manual_dqlinear_tests(4, torch.float16)
-
+    @unittest.skipIf(
+        not torchao_installed, "Per Channel Group Quantization Required TorchAO"
+    )
     def test_qd8_fp32_per_token_weight_per_channel_group_int4(self):
         M_sizes = [1, 2, 17, 31]
-        K_sizes = [8, 32, 64, 128]
-        bl_sizes = [8, 16, 16, 32]
+        K_sizes = [32, 32, 64, 128]
+        bl_sizes = [32, 32, 32, 64]
         N_sizes = [2, 17, 92, 128]
 
         for use_bias in [True, False]:
-            for i, _ in enumerate(M_sizes):
-                M = int(M_sizes[i])
-                K = int(K_sizes[i])
-                N = int(N_sizes[i])
-                bl = int(bl_sizes[i])
-                mod = self.ManualDQLinear(
+            for M, K, bl, N in zip(M_sizes, K_sizes, bl_sizes, N_sizes):
+                lin_mod = BaseLinear(
                     input_channels=K,
                     output_channels=N,
-                    weight_n_bit=4,
                     dtype=torch.float,
-                    group_size=bl,
-                    force_groupwise_quant=True,
                     use_bias=use_bias,
                 )
 
                 inputs = (torch.randn(1, M, K),)
-                self._test_manual_dq_linear(
-                    mod,
-                    inputs,
-                    weight_groupwise=True,
-                    use_bias=use_bias,
+                self._test_groupwise_dq_linear(
+                    lin_mod, inputs, group_size=bl, use_bias=use_bias
                 )
 
+    @unittest.skipIf(
+        not torchao_installed, "Per Channel Group Quantization Required TorchAO"
+    )
     def test_qd8_fp16_per_token_weight_per_channel_group_int4(self):
         M_sizes = [1, 2, 17, 31]
-        K_sizes = [8, 32, 64, 128]
-        bl_sizes = [8, 16, 16, 32]
+        K_sizes = [32, 32, 64, 128]
+        bl_sizes = [32, 32, 32, 64]
         N_sizes = [2, 17, 92, 128]
 
         for use_bias in [True, False]:
-            for i, _ in enumerate(M_sizes):
-                M = int(M_sizes[i])
-                K = int(K_sizes[i])
-                N = int(N_sizes[i])
-                bl = int(bl_sizes[i])
-                mod = self.ManualDQLinear(
+            for M, K, bl, N in zip(M_sizes, K_sizes, bl_sizes, N_sizes):
+                lin_mod = BaseLinear(
+                    in_size=M,
                     input_channels=K,
                     output_channels=N,
-                    weight_n_bit=4,
                     dtype=torch.float16,
-                    group_size=bl,
-                    force_groupwise_quant=True,
                     use_bias=use_bias,
                 )
 
-                inputs = (torch.randn(1, M, K, dtype=torch.float16),)
-                self._test_manual_dq_linear(
-                    mod,
-                    inputs,
-                    weight_groupwise=True,
-                    use_bias=use_bias,
-                    atol=0.1,
-                    rtol=0.1,
+                inputs = lin_mod.get_inputs()
+                # This requires slightly higher atol, but if you look at error it is not that bad:
+                # Difference: max: 0.00140380859375, abs: 0.00140380859375, mean abs error: 0.00042724609375.
+                # -- Model vs. Reference --
+                # Numel: 4, 4
+                # Median: -0.05023193359375, -0.0516357421875
+                # Mean: 0.2373046875, 0.237060546875
+                # Max: 1.0078125, 1.0078125
+                # Min: -0.08465576171875, -0.08441162109375
+                self._test_groupwise_dq_linear(
+                    lin_mod, inputs, group_size=bl, use_bias=use_bias, atol=1e-2
                 )
 
     def _test_linear(
@@ -776,23 +466,30 @@ def _test_linear(
         dtype: torch.dtype = torch.float,
         atol=1e-03,
     ):
-        aten_op, edge_op = (
-            (
-                "aten.addmm.default",
-                "executorch_exir_dialects_edge__ops_aten_addmm_default",
-            )
+        edge_op = (
+            "executorch_exir_dialects_edge__ops_aten_addmm_default"
             if uses_bias
-            else (
-                "aten.mm.default",
-                "executorch_exir_dialects_edge__ops_aten_mm_default",
-            )
+            else "executorch_exir_dialects_edge__ops_aten_mm_default"
         )
 
         in_sizes = [3, 4, 4]
         input_sizes = [4, 37, 17]
         output_sizes = [4, 17, 37]
 
-        quant = quant_type is not None
+        quant_config = None
+        if quant_type is not None:
+            if quant_type == "per_channel":
+                quant_config = get_symmetric_quantization_config(
+                    is_per_channel=True,
+                    is_dynamic=False,
+                )
+            elif quant_type == "per_tensor":
+                quant_config = get_symmetric_quantization_config(
+                    is_per_channel=False,
+                    is_dynamic=False,
+                )
+            else:
+                raise ValueError(f"Unsupported quant type {quant_type}")
 
         """
         Note that torch.nn.Linear maps to aten.mm.default (no bias) or aten.addmm.default (bias),
@@ -803,7 +500,6 @@ def _test_linear(
             input_size = int(input_sizes[i])
             output_size = int(output_sizes[i])
             input_shape = [in_size] * num_batch_dims + [input_size]
-            print(f"Testing input_shape {input_shape} with {output_size} out_channels")
 
             module = make_module(input_size, output_size).eval().to(dtype)
             inputs = (torch.randn(input_shape).to(dtype),)
@@ -812,42 +508,41 @@ def _test_linear(
                 dynamic_shape[i] = torch.export.Dim(f"batch{i}", min=2, max=in_size)
 
             dynamic_shape = (dynamic_shape,)
-            print(dynamic_shape)
 
-            tester = Tester(module, inputs, dynamic_shapes=dynamic_shape)
+            for legacy_mode in (True, False):
+                tester = Tester(module, inputs, dynamic_shapes=dynamic_shape)
 
-            if quant:
-                if quant_type == "per_channel":
-                    quant_config = get_symmetric_quantization_config(
-                        is_per_channel=True,
-                        is_dynamic=False,
-                    )
-                elif quant_type == "per_tensor":
-                    quant_config = get_symmetric_quantization_config(
-                        is_per_channel=False,
-                        is_dynamic=False,
-                    )
-                else:
-                    raise ValueError(f"Unsupported quant type {quant_type}")
-                tester.quantize(Quantize(quantization_config=quant_config))
-
-            tester.export()
-            if quant:
-                tester.check(["torch.ops.quantized_decomposed"])
+                if quant_config:
+                    tester.quantize(Quantize(quantization_config=quant_config))
 
-            tester.to_edge()
-            tester.check_count({edge_op: 1})
+                tester.export()
+                if quant_config:
+                    tester.check(["torch.ops.quantized_decomposed"])
 
-            tester.partition()
-            tester.check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
-            tester.check_not([edge_op])
+                if legacy_mode:
+                    tester.to_edge()
+                    tester.partition()
+                else:
+                    tester.to_edge_transform_and_lower()
 
-            if quant:
-                tester.check_not([edge_op, "torch.ops.quantized_decomposed"])
+                tester.check_count(
+                    {"torch.ops.higher_order.executorch_call_delegate": 1}
+                )
+                tester.check_not([edge_op])
+
+                if quant_config:
+                    tester.check_not(
+                        [
+                            "executorch_exir_dialects_edge__ops_aten_mm_default",
+                            "executorch_exir_dialects_edge__ops_aten_addmm_default",
+                        ]
+                    )
 
-            tester.to_executorch()
-            tester.serialize()
-            tester.run_method_and_compare_outputs(qtol=quant, atol=atol)
+                tester.to_executorch()
+                tester.serialize()
+                tester.run_method_and_compare_outputs(
+                    qtol=bool(quant_config), atol=atol
+                )
 
     def _test_dqlinear(
         self,
@@ -860,36 +555,96 @@ def _test_dqlinear(
         qconfig: Optional[QuantizationConfig] = None,
         atol=5e-02,
     ):
-        aten_op, edge_op = (
-            (
-                "aten.addmm.default",
-                "executorch_exir_dialects_edge__ops_aten_addmm_default",
-            )
-            if uses_bias
-            else (
-                "aten.mm.default",
-                "executorch_exir_dialects_edge__ops_aten_mm_default",
-            )
-        )
-
         quant_config = qconfig or get_symmetric_quantization_config(
             is_per_channel=is_per_channel,
             is_dynamic=True,
         )
+        for legacy_partitioner in (True, False):
+            for per_op_mode in (True, False):
+                DynamicallyQuantizedPartitioner = XnnpackPartitioner(
+                    config_precisions=ConfigPrecisionType.DYNAMIC_QUANT,
+                    per_op_mode=per_op_mode,
+                )
 
-        tester = Tester(module, inputs, dynamic_shapes=dynamic_shapes)
-        tester.quantize(Quantize(quantization_config=quant_config))
+                tester = Tester(module, inputs, dynamic_shapes=dynamic_shapes)
+                tester.quantize(Quantize(quantization_config=quant_config))
+                tester.export()
 
-        tester.export()
-        tester.to_edge()
-        tester.check_count({edge_op: linear_count})
+                if legacy_partitioner:
+                    tester.to_edge()
+                    tester.partition(Partition(DynamicallyQuantizedPartitioner))
+                else:
+                    tester.to_edge_transform_and_lower(
+                        ToEdgeTransformAndLower([DynamicallyQuantizedPartitioner])
+                    )
+                tester.check_count(
+                    {
+                        "torch.ops.higher_order.executorch_call_delegate": (
+                            linear_count if per_op_mode else 1
+                        )
+                    }
+                )
+                tester.check_not(
+                    [
+                        "executorch_exir_dialects_edge__ops_aten_mm_default",
+                        "executorch_exir_dialects_edge__ops_aten_addmm_default",
+                    ]
+                )
 
-        tester.partition(
-            Partition(partitioner=XnnpackDynamicallyQuantizedPartitioner())
+                tester.to_executorch()
+                tester.serialize()
+                tester.run_method_and_compare_outputs(atol=atol)
+
+    def _test_groupwise_dq_linear(
+        self,
+        mod: torch.nn.Module,
+        inputs: Tuple[torch.Tensor],
+        use_bias: bool = False,
+        group_size: int = 8,
+        num_linears: int = 1,
+        atol: float = 5e-3,
+        rtol: float = 5e-3,
+    ):
+        quantize_(mod, int8_dynamic_activation_int4_weight(group_size=group_size))
+        unwrap_tensor_subclass(mod)
+        DynamicallyQuantizedPartitioner = XnnpackPartitioner(
+            config_precisions=ConfigPrecisionType.DYNAMIC_QUANT,
+            per_op_mode=True,
+        )
+        tester = (
+            Tester(mod, inputs)
+            .export()
+            .check_count(
+                {
+                    "torch.ops.quant.choose_qparams_affine.default": 1 * num_linears,
+                    "torch.ops.quant.quantize_affine.default": 1 * num_linears,
+                    "torch.ops.quant.dequantize_affine.default": 2 * num_linears,
+                    "torch.ops.aten.linear.default": 1 * num_linears,
+                }
+            )
+        )
+        (
+            tester.to_edge_transform_and_lower(
+                ToEdgeTransformAndLower([DynamicallyQuantizedPartitioner])
+            )
         )
-        tester.check(["torch.ops.higher_order.executorch_call_delegate"])
-        tester.check_not([edge_op])
 
-        tester.to_executorch()
-        tester.serialize()
-        tester.run_method_and_compare_outputs(atol=atol)
+        (
+            tester.check_count(
+                {
+                    "torch.ops.higher_order.executorch_call_delegate": 1,
+                }
+            )
+            .check_not(
+                [
+                    "executorch_exir_dialects_edge__ops_quant_choose_qparams_affine_default",
+                    "executorch_exir_dialects_edge__ops_quant_quantize_affine_default",
+                    "executorch_exir_dialects_edge__ops_quant_dequantize_affine_default",
+                    "executorch_exir_dialects_edge__ops_aten_mm_default",
+                    "executorch_exir_dialects_edge__ops_aten_addmm_default",
+                ]
+            )
+            .to_executorch()
+            .serialize()
+            .run_method_and_compare_outputs(atol=atol, rtol=rtol)
+        )
diff --git a/backends/xnnpack/test/ops/lstm.py b/backends/xnnpack/test/ops/lstm.py
new file mode 100644
index 0000000000..bfc6113c41
--- /dev/null
+++ b/backends/xnnpack/test/ops/lstm.py
@@ -0,0 +1,63 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import unittest
+
+import torch
+from executorch.backends.xnnpack.partition.xnnpack_partitioner import XnnpackPartitioner
+
+from executorch.backends.xnnpack.test.tester import Tester
+from executorch.backends.xnnpack.test.tester.tester import ToEdgeTransformAndLower
+
+
+class TestLSTM(unittest.TestCase):
+    class LSTMLinear(torch.nn.Module):
+        def __init__(self, input_size, hidden_size, out_size):
+            super().__init__()
+            self.lstm = torch.nn.LSTM(
+                input_size=input_size, hidden_size=hidden_size, batch_first=True
+            )
+            self.linear = torch.nn.Linear(hidden_size, hidden_size)
+            self.linear2 = torch.nn.Linear(hidden_size, out_size)
+
+        def forward(self, x):
+            x, hs = self.lstm(x)
+            x = self.linear(x[:, -1, :])
+            x = self.linear2(x)
+            return torch.nn.functional.log_softmax(x, dim=1)
+
+    def test_fp32_lstm(self):
+        (
+            Tester(self.LSTMLinear(32, 32, 10), (torch.rand(1, 32, 32),))
+            .export()
+            .to_edge_transform_and_lower()
+            .check_not(["executorch_exir_dialects_edge__ops_aten_addmm_default"])
+            .check_not(
+                ["p_lstm_weight", "p_lstm_bias"]
+            )  # These Should be Consumed by Delegate
+            .to_executorch()
+            .serialize()
+            .run_method_and_compare_outputs()
+        )
+
+    def test_fp32_lstm_force_dynamic_linear(self):
+        (
+            Tester(self.LSTMLinear(32, 32, 10), (torch.rand(1, 32, 32),))
+            .export()
+            .to_edge_transform_and_lower(
+                ToEdgeTransformAndLower(
+                    partitioners=[XnnpackPartitioner(force_fp32_dynamic_linear=True)]
+                )
+            )
+            .check_not(["executorch_exir_dialects_edge__ops_aten_addmm_default"])
+            # Weights are supplied as input to linears
+            .check(["p_lstm_weight_hh_l0", "p_lstm_weight_ih_l0"])
+            # Biases are owned by delegates
+            .check_not(["p_lstm_bias"])
+            .to_executorch()
+            .serialize()
+            .run_method_and_compare_outputs()
+        )
diff --git a/backends/xnnpack/test/ops/max_dim.py b/backends/xnnpack/test/ops/max_dim.py
index e16a4f8b15..c660a5a6d2 100644
--- a/backends/xnnpack/test/ops/max_dim.py
+++ b/backends/xnnpack/test/ops/max_dim.py
@@ -13,14 +13,12 @@
 class TestMaxDim(unittest.TestCase):
     class Max(torch.nn.Module):
         def forward(self, x):
-            x = torch.add(x, x)
             max_values_1, max_indices_1 = torch.max(x, dim=2, keepdim=True)
             max_values_2, max_indices_2 = torch.max(x, dim=3, keepdim=True)
             return (max_values_1, max_indices_1, max_values_2, max_indices_2)
 
     class MaxNoIndices(torch.nn.Module):
         def forward(self, x):
-            x = torch.add(x, x)
             max_values_1, _ = torch.max(x, dim=2, keepdim=True)
             max_values_2, _ = torch.max(x, dim=3, keepdim=True)
             return (max_values_1, max_values_2)
@@ -30,39 +28,36 @@ def _test_max_dim(self, inputs):
             Tester(self.Max(), inputs)
             .export()
             .check_count({"torch.ops.aten.max.dim": 2})
-            .to_edge()
+            .to_edge_transform_and_lower()
+            .check_not(["torch.ops.higher_order.executorch_call_delegate"])
             .check_count({"executorch_exir_dialects_edge__ops_aten_max_dim": 2})
-            .partition()
-            .check_count({"torch.ops.higher_order.executorch_call_delegate": 2})
+        )
+
+    def _test_max_dim_no_indicies(self, inputs):
+        (
+            Tester(self.MaxNoIndices(), inputs)
+            .export()
+            .check_count({"torch.ops.aten.max.dim": 2})
+            .to_edge_transform_and_lower()
+            .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_max_dim"])
             .to_executorch()
             .serialize()
             .run_method_and_compare_outputs()
         )
 
-    @unittest.skip("T171468483 - Fails to partition due to index output dtype.")
-    def _test_fp16_max_dim(self):
+    def test_fp16_max_dim_with_indicies(self):
         inputs = (torch.randn(16, 3, 12, 12).to(torch.float16),)
         self._test_max_dim(inputs)
 
-    @unittest.skip("T171468483 - Fails to partition due to index output dtype.")
-    def _test_fp32_max_dim(self):
+    def test_fp32_max_dim_with_indices(self):
         inputs = (torch.randn(16, 3, 12, 12),)
         self._test_max_dim(inputs)
 
-    @unittest.skip("T171468483 - Fails to partition due to index output dtype.")
-    def _test_fp32_max_dim_no_indices(self):
+    def test_fp32_max_dim_no_indices(self):
         inputs = (torch.randn(16, 3, 12, 12),)
-        (
-            Tester(self.MaxNoIndices(), inputs)
-            .export()
-            .check_count({"torch.ops.aten.max.dim": 2})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_max_dim": 2})
-            .partition()
-            .check_count({"torch.ops.higher_order.executorch_call_delegate": 2})
-            .check_not(["executorch_exir_dialects_edge__ops_aten_max_dim"])
-            .to_executorch()
-            .serialize()
-            .run_method_and_compare_outputs()
-        )
+        self._test_max_dim_no_indicies(inputs)
+
+    def test_fp16_max_dim_no_indices(self):
+        inputs = (torch.randn(16, 3, 12, 12).to(torch.float16),)
+        self._test_max_dim_no_indicies(inputs)
diff --git a/backends/xnnpack/test/ops/maximum.py b/backends/xnnpack/test/ops/maximum.py
index feff02744d..30dfa5503a 100644
--- a/backends/xnnpack/test/ops/maximum.py
+++ b/backends/xnnpack/test/ops/maximum.py
@@ -23,9 +23,7 @@ def _test_maximum(self, inputs):
             Tester(self.Maximum(), inputs)
             .export()
             .check_count({"torch.ops.aten.maximum.default": 1})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_maximum_default": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_maximum_default"])
             .to_executorch()
@@ -56,9 +54,7 @@ def test_fp32_maximum_broadcast(self):
             Tester(self.Maximum(), inputs)
             .export()
             .check_count({"torch.ops.aten.maximum.default": 1})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_maximum_default": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_maximum_default"])
             .to_executorch()
diff --git a/backends/xnnpack/test/ops/maxpool2d.py b/backends/xnnpack/test/ops/maxpool2d.py
index bbc76743b0..1031852176 100644
--- a/backends/xnnpack/test/ops/maxpool2d.py
+++ b/backends/xnnpack/test/ops/maxpool2d.py
@@ -55,14 +55,7 @@ def _test_maxpool2d(self, inputs):
             Tester(self.MaxPool2d(3, 1, 0, 1), inputs)
             .export()
             .check_count({"torch.ops.aten.max_pool2d.default": 1})
-            .to_edge()
-            .check_count(
-                {
-                    "executorch_exir_dialects_edge__ops_aten_max_pool2d_with_indices_default": 1,
-                }
-            )
-            .check(["getitem"])
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
@@ -91,13 +84,7 @@ def test_fp32_maxpool2d_unsupported(self):
             Tester(self.MaxPool2dUnsupported(), inputs)
             .export()
             .check_count({"torch.ops.aten.max_pool2d_with_indices.default": 1})
-            .to_edge()
-            .check_count(
-                {
-                    "executorch_exir_dialects_edge__ops_aten_max_pool2d_with_indices_default": 1
-                }
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             # We expect it not be be delegated.
             .check_count(
                 {
@@ -115,13 +102,7 @@ def test_fp32_maxpool2d_unsupported_ceilmode(self):
             Tester(self.MaxPool2dUnsupportedCeilMode(), inputs)
             .export()
             .check_count({"torch.ops.aten.max_pool2d.default": 1})
-            .to_edge()
-            .check_count(
-                {
-                    "executorch_exir_dialects_edge__ops_aten_max_pool2d_with_indices_default": 1
-                }
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             # We expect it not be be delegated.
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 0})
             .check_count(
@@ -153,13 +134,7 @@ def forward(self, x):
                 .export()
                 .check_count({"torch.ops.aten.max_pool2d.default": 1})
                 .check(["torch.ops.quantized_decomposed"])
-                .to_edge()
-                .check_count(
-                    {
-                        "executorch_exir_dialects_edge__ops_aten_max_pool2d_with_indices_default": 1
-                    }
-                )
-                .partition()
+                .to_edge_transform_and_lower()
                 .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
                 .check_not(
                     [
diff --git a/backends/xnnpack/test/ops/mean_dim.py b/backends/xnnpack/test/ops/mean_dim.py
index 750b0e8f50..3bac5f3239 100644
--- a/backends/xnnpack/test/ops/mean_dim.py
+++ b/backends/xnnpack/test/ops/mean_dim.py
@@ -26,9 +26,7 @@ def _test_mean_dim(self, inputs):
             Tester(self.MeanDim((-1, -2)), inputs)
             .export()
             .check_count({"torch.ops.aten.mean.dim": 1})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_mean_dim": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_mean_dim"])
             .to_executorch()
@@ -54,9 +52,20 @@ def test_fp32_mean_dim_unsupported(self):
             Tester(self.MeanDim((3)), inputs)
             .export()
             .check_count({"torch.ops.aten.mean.dim": 1})
-            .to_edge()
+            .to_edge_transform_and_lower()
             .check_count({"executorch_exir_dialects_edge__ops_aten_mean_dim": 1})
-            .partition()
+        )
+
+    def test_fp32_mean_dim_unsupported_3d(self):
+        """
+        XNNPack mean.dim implementation only supports 4D tensors.
+        """
+        inputs = (torch.randn(1, 5, 4),)
+        (
+            Tester(self.MeanDim((-1, -2)), inputs)
+            .export()
+            .check_count({"torch.ops.aten.mean.dim": 1})
+            .to_edge_transform_and_lower()
             .check_count({"executorch_exir_dialects_edge__ops_aten_mean_dim": 1})
         )
 
@@ -72,9 +81,7 @@ def test_qs8_mean_dim(self):
                     torch.ops.quantized_decomposed.quantize_per_tensor.default: 3,
                 }
             )
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_mean_dim": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
diff --git a/backends/xnnpack/test/ops/minimum.py b/backends/xnnpack/test/ops/minimum.py
index 121fbeb185..406ac8485e 100644
--- a/backends/xnnpack/test/ops/minimum.py
+++ b/backends/xnnpack/test/ops/minimum.py
@@ -23,9 +23,7 @@ def _test_minimum(self, inputs):
             Tester(self.Minimum(), inputs)
             .export()
             .check_count({"torch.ops.aten.minimum.default": 1})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_minimum_default": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_minimum_default"])
             .to_executorch()
diff --git a/backends/xnnpack/test/ops/multiply.py b/backends/xnnpack/test/ops/multiply.py
index d151f58bd6..db50bc5dd4 100644
--- a/backends/xnnpack/test/ops/multiply.py
+++ b/backends/xnnpack/test/ops/multiply.py
@@ -36,9 +36,7 @@ def _test_mul(self, inputs):
             Tester(self.Mul(), inputs)
             .export()
             .check_count({"torch.ops.aten.mul.Tensor": 1})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_mul_Tensor": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_mul_Tensor"])
             .to_executorch()
@@ -65,9 +63,7 @@ def test_qs8_mul(self):
             .export()
             .check_count({"torch.ops.aten.mul.Tensor": 1})
             .check(["torch.ops.quantized_decomposed"])
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_mul_Tensor": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
@@ -88,9 +84,7 @@ def test_qs8_mul2(self):
             .export()
             .check_count({"torch.ops.aten.mul.Tensor": 1})
             .check(["torch.ops.quantized_decomposed"])
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_mul_Tensor": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
@@ -111,9 +105,7 @@ def test_qs8_mul_functional(self):
             .export()
             .check_count({"torch.ops.aten.mul.Tensor": 3})
             .check(["torch.ops.quantized_decomposed"])
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_mul_Tensor": 3})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
@@ -139,9 +131,7 @@ def test_qs8_mul_relu(self):
                 }
             )
             .check(["torch.ops.quantized_decomposed"])
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_mul_Tensor": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
diff --git a/backends/xnnpack/test/ops/negate.py b/backends/xnnpack/test/ops/negate.py
index c4a47bb93c..4d158612e9 100644
--- a/backends/xnnpack/test/ops/negate.py
+++ b/backends/xnnpack/test/ops/negate.py
@@ -24,9 +24,7 @@ def _test_negate(self, inputs):
             Tester(self.Negate(), inputs)
             .export()
             .check_count({"torch.ops.aten.neg.default": 1})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_neg_default": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_neg_default"])
             .to_executorch()
diff --git a/backends/xnnpack/test/ops/permute.py b/backends/xnnpack/test/ops/permute.py
index 2c99537675..b348fc8af6 100644
--- a/backends/xnnpack/test/ops/permute.py
+++ b/backends/xnnpack/test/ops/permute.py
@@ -36,11 +36,7 @@ def _test_permute(self, inputs):
             Tester(self.Permute([0, 2, 3, 1]), inputs)
             .export()
             .check_count({"torch.ops.aten.permute.default": 1})
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_permute_copy_default": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_permute_copy_default"])
             .to_executorch()
@@ -62,11 +58,7 @@ def test_fp32_permute_copy(self):
             Tester(self.PermuteCopy([0, 2, 3, 1]), inputs)
             .export()
             .check_count({"torch.ops.aten.permute_copy.default": 1})
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_permute_copy_default": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_permute_copy_default"])
             .to_executorch()
@@ -86,11 +78,7 @@ def test_qs8_permute(self):
                     torch.ops.quantized_decomposed.quantize_per_tensor.default: 3,
                 }
             )
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_permute_copy_default": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
@@ -115,11 +103,7 @@ def test_qs8_permute_copy(self):
                     torch.ops.quantized_decomposed.quantize_per_tensor.default: 3,
                 }
             )
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_permute_copy_default": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
diff --git a/backends/xnnpack/test/ops/pow.py b/backends/xnnpack/test/ops/pow.py
index cbe637a6e7..ac902ae44b 100644
--- a/backends/xnnpack/test/ops/pow.py
+++ b/backends/xnnpack/test/ops/pow.py
@@ -25,11 +25,7 @@ def _test_pow2(self, inputs):
             Tester(self.Pow(2), inputs)
             .export()
             .check_count({"torch.ops.aten.pow.Tensor_Scalar": 1})
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar"])
             .to_executorch()
@@ -58,10 +54,6 @@ def test_fp32_pow_unsupported(self):
             Tester(self.Pow(3), inputs)
             .export()
             .check_count({"torch.ops.aten.pow.Tensor_Scalar": 1})
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_not(["torch.ops.higher_order.executorch_call_delegate"])
         )
diff --git a/backends/xnnpack/test/ops/prelu.py b/backends/xnnpack/test/ops/prelu.py
index 985ddecf36..f73648dfa2 100644
--- a/backends/xnnpack/test/ops/prelu.py
+++ b/backends/xnnpack/test/ops/prelu.py
@@ -24,12 +24,8 @@ def _test_prelu(self, module, inputs):
         (
             Tester(module, inputs)
             .export()
-            .check_count({"torch.ops.aten._prelu_kernel.default": 1})
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten__prelu_kernel_default": 1}
-            )
-            .partition()
+            .check_count({"torch.ops.aten.prelu.default": 1})
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 ["executorch_exir_dialects_edge__ops_aten__prelu_kernel_default"]
@@ -39,13 +35,12 @@ def _test_prelu(self, module, inputs):
             .run_method_and_compare_outputs()
         )
 
-    @unittest.skip("T158653285 - Missing recomposition for PReLU")
-    def test_fp16_prelu(self):
+    @unittest.skip("XNNPACK Expects FP16 inputs but FP32 weights")
+    def _test_fp16_prelu(self):
         module = self.PReLU().to(torch.float16)
         inputs = (torch.randn(1, 5, 3, 2).to(torch.float16),)
         self._test_prelu(module, inputs)
 
-    @unittest.skip("T158653285 - Missing recomposition for PReLU")
     def test_fp32_prelu(self):
         module = self.PReLU()
         inputs = (torch.randn(1, 5, 3, 2),)
diff --git a/backends/xnnpack/test/ops/quantize_per_tensor.py b/backends/xnnpack/test/ops/quantize_per_tensor.py
index f912428a8a..c211798753 100644
--- a/backends/xnnpack/test/ops/quantize_per_tensor.py
+++ b/backends/xnnpack/test/ops/quantize_per_tensor.py
@@ -24,13 +24,7 @@ def forward(self, x):
         (
             Tester(Quant(), inputs)
             .export()
-            .to_edge()
-            .check_count(
-                {
-                    "executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default": 1
-                }
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
@@ -60,13 +54,7 @@ def forward(self, x):
         (
             Tester(Dequant(), inputs)
             .export()
-            .to_edge()
-            .check_count(
-                {
-                    "executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default": 1
-                }
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
diff --git a/backends/xnnpack/test/ops/relu.py b/backends/xnnpack/test/ops/relu.py
index 3ab1c72b57..8672b1d3e4 100644
--- a/backends/xnnpack/test/ops/relu.py
+++ b/backends/xnnpack/test/ops/relu.py
@@ -26,9 +26,7 @@ def test_fp32_relu(self):
             Tester(self.Relu(), inputs)
             .export()
             .check_count({"torch.ops.aten.relu.default": 1})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_relu_default": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_relu_default"])
             .to_executorch()
diff --git a/backends/xnnpack/test/ops/sdpa.py b/backends/xnnpack/test/ops/sdpa.py
index d68bcab208..de5c7174ab 100644
--- a/backends/xnnpack/test/ops/sdpa.py
+++ b/backends/xnnpack/test/ops/sdpa.py
@@ -8,7 +8,10 @@
 from typing import Optional
 
 import torch
+from executorch.backends.xnnpack.partition.config.generic_node_configs import SDPAConfig
+from executorch.backends.xnnpack.partition.xnnpack_partitioner import XnnpackPartitioner
 from executorch.backends.xnnpack.test.tester import Tester
+from executorch.backends.xnnpack.test.tester.tester import ToEdgeTransformAndLower
 
 
 class TestSDPA(unittest.TestCase):
@@ -61,9 +64,9 @@ def _test(self, module, inputs, atol=1e-03, rtol=1e-03):
         (
             Tester(module, inputs)
             .export()
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_bmm_default": 2})
-            .partition()
+            .to_edge_transform_and_lower(
+                ToEdgeTransformAndLower([XnnpackPartitioner(configs=[SDPAConfig])])
+            )
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 ["executorch_exir_dialects_edge__ops_aten_bmm_default"],
diff --git a/backends/xnnpack/test/ops/sigmoid.py b/backends/xnnpack/test/ops/sigmoid.py
index 3dde395922..a9acd4df6d 100644
--- a/backends/xnnpack/test/ops/sigmoid.py
+++ b/backends/xnnpack/test/ops/sigmoid.py
@@ -25,9 +25,7 @@ def _test_sigmoid(self, inputs):
             Tester(self.Sigmoid(), inputs)
             .export()
             .check_count({"torch.ops.aten.sigmoid.default": 1})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_sigmoid_default": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_sigmoid_default"])
             .to_executorch()
diff --git a/backends/xnnpack/test/ops/slice_copy.py b/backends/xnnpack/test/ops/slice_copy.py
index 50c8610b9c..8ff3736857 100644
--- a/backends/xnnpack/test/ops/slice_copy.py
+++ b/backends/xnnpack/test/ops/slice_copy.py
@@ -7,8 +7,7 @@
 import unittest
 
 import torch
-from executorch.backends.xnnpack.partition.xnnpack_partitioner import XnnpackPartitioner
-from executorch.backends.xnnpack.test.tester import Partition, Tester
+from executorch.backends.xnnpack.test.tester import Tester
 
 
 class TestSliceCopy(unittest.TestCase):
@@ -82,11 +81,7 @@ def forward(self, x):
             Tester(module, inputs)
             .export()
             .check_count({"torch.ops.aten.slice.Tensor": 3})
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_not(["torch.ops.higher_order.executorch_call_delegate"])
         )
 
@@ -105,11 +100,7 @@ def forward(self, x):
             Tester(module, inputs)
             .export()
             .check_count({"torch.ops.aten.slice.Tensor": 3})
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor": 3}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_not(["torch.ops.higher_order.executorch_call_delegate"])
         )
 
@@ -124,12 +115,13 @@ def forward(self, x):
 
         inputs = (torch.randn(5, 5, 5),)
         (
-            Tester(SliceCopy(), inputs)
-            .export()
-            .to_edge()
-            .partition(
-                Partition(partitioner=XnnpackPartitioner(has_dynamic_shapes=True))
+            Tester(
+                SliceCopy(),
+                inputs,
+                dynamic_shapes=({2: torch.export.Dim("dim_2", min=4, max=100)},),
             )
+            .export()
+            .to_edge_transform_and_lower()
             .check_not(["torch.ops.higher_order.executorch_call_delegate"])
         )
 
@@ -154,11 +146,7 @@ def forward(self, x):
                     "quantized_decomposed::quantize_per_tensor": 3,
                 }
             )
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor": 3}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor"])
             .to_executorch()
diff --git a/backends/xnnpack/test/ops/softmax.py b/backends/xnnpack/test/ops/softmax.py
index 697b6f9294..cc544a28a2 100644
--- a/backends/xnnpack/test/ops/softmax.py
+++ b/backends/xnnpack/test/ops/softmax.py
@@ -29,11 +29,7 @@ def _test_softmax(self, inputs):
                 Tester(self.Softmax(dim), inputs)
                 .export()
                 .check_count({"torch.ops.aten.softmax": 1})
-                .to_edge()
-                .check_count(
-                    {"executorch_exir_dialects_edge__ops_aten__softmax_default": 1}
-                )
-                .partition()
+                .to_edge_transform_and_lower()
                 .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
                 .check_not(["executorch_exir_dialects_edge__ops_aten__softmax_default"])
                 .to_executorch()
@@ -63,11 +59,7 @@ def test_fp32_softmax_unsupported(self):
                 Tester(self.Softmax(dim), inputs)
                 .export()
                 .check_count({"torch.ops.aten.softmax": 1})
-                .to_edge()
-                .check_count(
-                    {"executorch_exir_dialects_edge__ops_aten__softmax_default": 1}
-                )
-                .partition()
+                .to_edge_transform_and_lower()
                 # Should not be delegated
                 .check(["executorch_exir_dialects_edge__ops_aten__softmax_default"])
             )
diff --git a/backends/xnnpack/test/ops/sqrt.py b/backends/xnnpack/test/ops/sqrt.py
index e2a5f4ac2f..eaeb3b9f70 100644
--- a/backends/xnnpack/test/ops/sqrt.py
+++ b/backends/xnnpack/test/ops/sqrt.py
@@ -25,9 +25,7 @@ def _test_sqrt(self, inputs):
             Tester(self.Sqrt(), inputs)
             .export()
             .check_count({"torch.ops.aten.sqrt.default": 1})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_sqrt_default": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_sqrt_default"])
             .to_executorch()
diff --git a/backends/xnnpack/test/ops/square.py b/backends/xnnpack/test/ops/square.py
index 5a7ffbc2cd..32a1963934 100644
--- a/backends/xnnpack/test/ops/square.py
+++ b/backends/xnnpack/test/ops/square.py
@@ -28,11 +28,7 @@ def _test_square(self, inputs):
             Tester(self.Square(), inputs)
             .export()
             .check_count({"torch.ops.aten.square.default": 1})
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar"])
             .to_executorch()
diff --git a/backends/xnnpack/test/ops/static_constant_pad.py b/backends/xnnpack/test/ops/static_constant_pad.py
index 2917d681ab..a0a74e3840 100644
--- a/backends/xnnpack/test/ops/static_constant_pad.py
+++ b/backends/xnnpack/test/ops/static_constant_pad.py
@@ -88,11 +88,7 @@ def _test_static_constant_pad_functional(self, inputs):
             Tester(self.StaticConstantPadFunctional(), inputs)
             .export()
             .check_count({"torch.ops.aten.pad.default": 8})
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_constant_pad_nd_default": 8}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 ["executorch_exir_dialects_edge__ops_aten_constant_pad_nd_default"]
@@ -139,11 +135,7 @@ def forward(self, x):
             .export()
             .check_count({"torch.ops.aten.pad.default": 1})
             .check(["torch.ops.quantized_decomposed"])
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_constant_pad_nd_default": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
@@ -164,11 +156,7 @@ def test_qs8_static_constant_pad_2d(self):
             .export()
             .check_count({"torch.ops.aten.pad.default": 1})
             .check(["torch.ops.quantized_decomposed"])
-            .to_edge()
-            .check_count(
-                {"executorch_exir_dialects_edge__ops_aten_constant_pad_nd_default": 1}
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
diff --git a/backends/xnnpack/test/ops/sub.py b/backends/xnnpack/test/ops/sub.py
index d4d64168bb..fb3d3d3f94 100644
--- a/backends/xnnpack/test/ops/sub.py
+++ b/backends/xnnpack/test/ops/sub.py
@@ -32,9 +32,7 @@ def _test_sub(self, inputs):
             Tester(self.Sub(), inputs)
             .export()
             .check_count({"torch.ops.aten.sub.Tensor": 1})
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_sub_Tensor": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(["executorch_exir_dialects_edge__ops_aten_sub_Tensor"])
             .to_executorch()
@@ -62,9 +60,7 @@ def _test_qs8_sub(self):
             .export()
             .check_count({"torch.ops.aten.sub.Tensor": 1})
             .check(["torch.ops.quantized_decomposed"])
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_sub_Tensor": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
@@ -86,9 +82,7 @@ def _test_qs8_sub2(self):
             .export()
             .check_count({"torch.ops.aten.sub.Tensor": 1})
             .check(["torch.ops.quantized_decomposed"])
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_sub_Tensor": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
@@ -110,9 +104,7 @@ def _test_qs8_sub3(self):
             .export()
             .check_count({"torch.ops.aten.sub.Tensor": 1})
             .check(["torch.ops.quantized_decomposed"])
-            .to_edge()
-            .check_count({"executorch_exir_dialects_edge__ops_aten_sub_Tensor": 1})
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
@@ -144,14 +136,7 @@ def forward(self, x, y):
                 }
             )
             .check(["torch.ops.quantized_decomposed"])
-            .to_edge()
-            .check_count(
-                {
-                    "executorch_exir_dialects_edge__ops_aten_sub_Tensor": 1,
-                    "executorch_exir_dialects_edge__ops_aten_relu_default": 1,
-                }
-            )
-            .partition()
+            .to_edge_transform_and_lower()
             .check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
             .check_not(
                 [
diff --git a/backends/xnnpack/test/test_xnnpack_utils.py b/backends/xnnpack/test/test_xnnpack_utils.py
index c6b1513d31..ea9217e04a 100644
--- a/backends/xnnpack/test/test_xnnpack_utils.py
+++ b/backends/xnnpack/test/test_xnnpack_utils.py
@@ -25,6 +25,12 @@
 
 # import the xnnpack backend implementation
 from executorch.backends.xnnpack.xnnpack_preprocess import XnnpackBackend
+from executorch.devtools import BundledProgram
+
+from executorch.devtools.bundled_program.config import MethodTestCase, MethodTestSuite
+from executorch.devtools.bundled_program.serialize import (
+    serialize_from_bundled_program_to_flatbuffer,
+)
 from executorch.exir import ExecutorchProgram, ExirExportedProgram
 from executorch.exir.backend.backend_api import to_backend, validation_disabled
 
@@ -34,12 +40,6 @@
     _load_for_executorch_from_buffer,
 )
 from executorch.extension.pytree import tree_flatten
-from executorch.sdk import BundledProgram
-
-from executorch.sdk.bundled_program.config import MethodTestCase, MethodTestSuite
-from executorch.sdk.bundled_program.serialize import (
-    serialize_from_bundled_program_to_flatbuffer,
-)
 
 from torch.ao.quantization import (  # @manual
     default_per_channel_symmetric_qnnpack_qconfig,
@@ -72,6 +72,7 @@
     get_symmetric_quantization_config,
     XNNPACKQuantizer,
 )
+from torch.export import export_for_training
 
 from torch.testing import FileCheck
 
@@ -315,10 +316,11 @@ def quantize_and_test_model_with_quantizer(
     ):
         module.eval()
         # program capture
-        m = torch._export.capture_pre_autograd_graph(
+
+        m = export_for_training(
             module,
             example_inputs,
-        )
+        ).module()
 
         quantizer = XNNPACKQuantizer()
         quantization_config = get_symmetric_quantization_config()
diff --git a/backends/xnnpack/test/tester/tester.py b/backends/xnnpack/test/tester/tester.py
index a93c20a6b1..7586c4f231 100644
--- a/backends/xnnpack/test/tester/tester.py
+++ b/backends/xnnpack/test/tester/tester.py
@@ -11,10 +11,9 @@
 import sys
 from abc import ABC, abstractmethod
 from collections import Counter, OrderedDict
-from typing import Any, Callable, Dict, List, Optional, Tuple, Type
+from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union
 
 import torch
-import torch.export._trace as export_trace
 from executorch.backends.xnnpack.partition.xnnpack_partitioner import XnnpackPartitioner
 from executorch.backends.xnnpack.passes import XNNPACKPassManager
 from executorch.backends.xnnpack.utils.configs import get_xnnpack_edge_compile_config
@@ -24,11 +23,14 @@
     ExecutorchBackendConfig,
     ExecutorchProgramManager,
     to_edge,
+    to_edge_transform_and_lower,
 )
 from executorch.exir.backend.backend_api import validation_disabled
 from executorch.exir.backend.partitioner import Partitioner
 from executorch.exir.passes.sym_shape_eval_pass import ConstraintBasedSymShapeEvalPass
+
 from executorch.exir.print_program import pretty_print, print_program
+from torch.export import export_for_training
 
 logger = logging.getLogger(__name__)
 logger.setLevel(logging.INFO)
@@ -40,6 +42,7 @@
     logger.warning(f"{e=}")
     pass
 
+from executorch.exir.program._program import _transform
 from torch._export.pass_base import PassType
 from torch.ao.quantization.quantize_pt2e import convert_pt2e, prepare_pt2e
 from torch.ao.quantization.quantizer.quantizer import Quantizer
@@ -154,10 +157,10 @@ def __init__(
     def run(
         self, artifact: torch.nn.Module, inputs: Optional[Tuple[torch.Tensor]]
     ) -> None:
-        captured_graph = export_trace._export(
-            artifact, inputs, pre_dispatch=True
-        ).module()
+        assert inputs is not None
+        captured_graph = export_for_training(artifact, inputs).module()
 
+        assert isinstance(captured_graph, torch.fx.GraphModule)
         prepared = prepare_pt2e(captured_graph, self.quantizer)
 
         if self.calibrate:
@@ -234,23 +237,72 @@ def __init__(
     ):
         self.pass_list = pass_list
         self.pass_functions = pass_functions
-        self.edge_dialect_program = None
+        self.edge_or_aten_program = None
 
-    def run(self, artifact: EdgeProgramManager, inputs=None) -> None:
-        self.edge_dialect_program = artifact
-        if self.pass_list:
-            pass_manager = XNNPACKPassManager(
-                artifact.exported_program(), self.pass_list
-            )
-            self.edge_dialect_program._edge_programs["forward"] = (
-                pass_manager.transform()
-            )
-        if self.pass_functions:
-            assert isinstance(self.pass_functions, list)
-            for pass_function in self.pass_functions:
-                self.edge_dialect_program._edge_programs["forward"] = pass_function(
-                    self.edge_dialect_program.exported_program()
+    def run(
+        self, artifact: Union[EdgeProgramManager, ExportedProgram], inputs=None
+    ) -> None:
+        if isinstance(artifact, EdgeProgramManager):
+            self.edge_or_aten_program = artifact
+            if self.pass_list:
+                pass_manager = XNNPACKPassManager(
+                    artifact.exported_program(), self.pass_list
+                )
+                self.edge_or_aten_program._edge_programs["forward"] = (
+                    pass_manager.transform()
                 )
+            if self.pass_functions:
+                assert isinstance(self.pass_functions, list)
+                for pass_function in self.pass_functions:
+                    self.edge_or_aten_program._edge_programs["forward"] = pass_function(
+                        self.edge_or_aten_program.exported_program()
+                    )
+        else:
+            transformed_ep = artifact
+            if self.pass_list:
+                assert isinstance(self.pass_list, list)
+                for pass_ in self.pass_list:
+                    transformed_ep = _transform(transformed_ep, pass_())
+
+            if self.pass_functions:
+                assert isinstance(self.pass_functions, list)
+                for pass_function in self.pass_functions:
+                    transformed_ep = pass_function(transformed_ep)
+
+            self.edge_or_aten_program = transformed_ep
+
+    @property
+    def artifact(self) -> Union[EdgeProgramManager, ExportedProgram]:
+        return self.edge_or_aten_program
+
+    @property
+    def graph_module(self) -> str:
+        if isinstance(self.edge_or_aten_program, EdgeProgramManager):
+            return self.edge_or_aten_program.exported_program().graph_module
+        else:
+            return self.edge_or_aten_program.graph_module
+
+
+@register_stage
+class ToEdgeTransformAndLower(Stage):
+    def __init__(
+        self,
+        partitioners: Optional[List[Partitioner]] = None,
+        edge_compile_config: Optional[EdgeCompileConfig] = None,
+    ):
+        self.partitioners = partitioners or [XnnpackPartitioner()]
+        self.edge_compile_conf = (
+            edge_compile_config or get_xnnpack_edge_compile_config()
+        )
+        self.edge_dialect_program = None
+
+    def run(self, artifact: ExportedProgram, inputs=None) -> None:
+        artifact_to_run = copy.deepcopy(artifact)
+        self.edge_dialect_program = to_edge_transform_and_lower(
+            artifact_to_run,
+            compile_config=self.edge_compile_conf,
+            partitioner=self.partitioners,
+        )
 
     @property
     def artifact(self) -> EdgeProgramManager:
@@ -372,13 +424,22 @@ def __init__(
         self.pipeline = {
             self.stage_name(Quantize): [self.stage_name(Export)],
             self.stage_name(Export): [
+                self.stage_name(RunPasses),
                 self.stage_name(ToEdge),
+                self.stage_name(ToEdgeTransformAndLower),
+            ],
+            self.stage_name(ToEdgeTransformAndLower): [
+                self.stage_name(RunPasses),
+                self.stage_name(ToExecutorch),
             ],
             self.stage_name(ToEdge): [
                 self.stage_name(Partition),
                 self.stage_name(RunPasses),
             ],
-            self.stage_name(RunPasses): [self.stage_name(Partition)],
+            self.stage_name(RunPasses): [
+                self.stage_name(Partition),
+                self.stage_name(ToEdgeTransformAndLower),
+            ],
             # TODO Make this Stage optional
             self.stage_name(Partition): [self.stage_name(ToExecutorch)],
             self.stage_name(ToExecutorch): [self.stage_name(Serialize)],
@@ -500,7 +561,13 @@ def to_edge(self, to_edge_stage: Optional[ToEdge] = None):
         if not to_edge_stage:
             to_edge_stage = ToEdge()
         to_edge_stage.edge_compile_conf._skip_dim_order = True
-        return self._run_stage(to_edge_stage)
+        res = self._run_stage(to_edge_stage)
+        return res
+
+    def to_edge_transform_and_lower(
+        self, to_edge_and_transform_stage: Optional[ToEdgeTransformAndLower] = None
+    ):
+        return self._run_stage(to_edge_and_transform_stage or ToEdgeTransformAndLower())
 
     def run_passes(self, run_passes_stage: Optional[RunPasses] = None):
         return self._run_stage(run_passes_stage or RunPasses())
diff --git a/backends/xnnpack/third-party/XNNPACK b/backends/xnnpack/third-party/XNNPACK
index 1d139a3b4b..87ee0b46b8 160000
--- a/backends/xnnpack/third-party/XNNPACK
+++ b/backends/xnnpack/third-party/XNNPACK
@@ -1 +1 @@
-Subproject commit 1d139a3b4b7155889c88c31f370a82c48e7ca89c
+Subproject commit 87ee0b46b834f67bad9025d4a82ed5654f3403d3
diff --git a/backends/xnnpack/third-party/cpuinfo b/backends/xnnpack/third-party/cpuinfo
index d6860c477c..16bfc1622c 160000
--- a/backends/xnnpack/third-party/cpuinfo
+++ b/backends/xnnpack/third-party/cpuinfo
@@ -1 +1 @@
-Subproject commit d6860c477c99f1fce9e28eb206891af3c0e1a1d7
+Subproject commit 16bfc1622c6902d6f91d316ec54894910c620325
diff --git a/backends/xnnpack/third-party/generate-xnnpack-wrappers.py b/backends/xnnpack/third-party/generate-xnnpack-wrappers.py
index bda7952717..e9b23e4a78 100644
--- a/backends/xnnpack/third-party/generate-xnnpack-wrappers.py
+++ b/backends/xnnpack/third-party/generate-xnnpack-wrappers.py
@@ -1,6 +1,7 @@
 #!/usr/bin/env python3
 
 from __future__ import print_function
+from pathlib import Path
 import collections
 import os
 import sys
@@ -36,8 +37,8 @@
     "PROD_AVX512F_MICROKERNEL_SRCS": "defined(__i386__) || defined(__i686__) || defined(__x86_64__)",
     "PROD_AVX512SKX_MICROKERNEL_SRCS": "defined(__i386__) || defined(__i686__) || defined(__x86_64__)",
     "PROD_AVX512VBMI_MICROKERNEL_SRCS": "defined(__i386__) || defined(__i686__) || defined(__x86_64__)",
-    "PROD_AVX512VNNIGFNI_MICROKERNEL_SRCS": "defined(__i386__) || defined(__i686__) || defined(__x86_64__)",
     "PROD_AVX512VNNI_MICROKERNEL_SRCS": "defined(__i386__) || defined(__i686__) || defined(__x86_64__)",
+    "PROD_AVX512VNNIGFNI_MICROKERNEL_SRCS": "defined(__i386__) || defined(__i686__) || defined(__x86_64__)",
     "PROD_RVV_MICROKERNEL_SRCS": "defined(__riscv) || defined(__riscv__)",
     "PROD_AVXVNNI_MICROKERNEL_SRCS": "defined(__i386__) || defined(__i686__) || defined(__x86_64__)",
     "AARCH32_ASM_MICROKERNEL_SRCS": "defined(__arm__)",
@@ -46,7 +47,7 @@
     # add non-prod microkernel sources here:
 }
 
-SRC_NAMES = set([
+SRC_NAMES = {
     "OPERATOR_SRCS",
     "SUBGRAPH_SRCS",
     "LOGGING_SRCS",
@@ -81,30 +82,42 @@
     "PROD_AVX512F_MICROKERNEL_SRCS",
     "PROD_AVX512SKX_MICROKERNEL_SRCS",
     "PROD_AVX512VBMI_MICROKERNEL_SRCS",
-    "PROD_AVX512VNNIGFNI_MICROKERNEL_SRCS",
     "PROD_AVX512VNNI_MICROKERNEL_SRCS",
+    "PROD_AVX512VNNIGFNI_MICROKERNEL_SRCS",
     "PROD_RVV_MICROKERNEL_SRCS",
     "PROD_AVXVNNI_MICROKERNEL_SRCS",
     "AARCH32_ASM_MICROKERNEL_SRCS",
     "AARCH64_ASM_MICROKERNEL_SRCS",
 
     # add non-prod microkernel sources here:
-])
+}
 
 def handle_singleline_parse(line):
     start_index = line.find("(")
     end_index = line.find(")")
     line = line[start_index+1:end_index]
     key_val = line.split(" ")
-    return key_val[0], list(map(lambda x: x[4:], key_val[1:]))
+    return key_val[0], [x[4:] for x in key_val[1:]]
 
 def update_sources(xnnpack_path, cmakefile = "XNNPACK/CMakeLists.txt"):
+    print(f"Updating sources from {cmakefile}")
     sources = collections.defaultdict(list)
     with open(os.path.join(xnnpack_path, cmakefile)) as cmake:
         lines = cmake.readlines()
         i = 0
         while i < len(lines):
             line = lines[i]
+            
+            if lines[i].startswith("INCLUDE"):
+                file, _ = handle_singleline_parse(line)
+                if file.startswith("cmake/gen/"):
+                    path = Path(xnnpack_path) / "XNNPACK" / file
+                    local_sources = update_sources(xnnpack_path, path.absolute().as_posix())
+                    for k,v in local_sources.items():
+                        if k in sources:
+                            sources[k] = sources[k] + local_sources[k]
+                        else:
+                            sources[k] = local_sources[k]
 
             if lines[i].startswith("SET") and "src/" in lines[i]:
                 name, val = handle_singleline_parse(line)
@@ -132,7 +145,7 @@ def gen_wrappers(xnnpack_path):
     xnnpack_sources = collections.defaultdict(list)
     sources = update_sources(xnnpack_path)
 
-    microkernels_sources = update_sources(xnnpack_path, "XNNPACK/cmake/microkernels.cmake")
+    microkernels_sources = update_sources(xnnpack_path, "XNNPACK/cmake/gen/microkernels.cmake")
     for key in  microkernels_sources:
         sources[key] = microkernels_sources[key]
 
@@ -186,6 +199,8 @@ def gen_wrappers(xnnpack_path):
 
 
 def main(argv):
+    print("Generating wrappers...")
+
     if argv is None or len(argv) == 0:
         gen_wrappers(".")
     else:
diff --git a/backends/xnnpack/third-party/xnnpack.buck.bzl b/backends/xnnpack/third-party/xnnpack.buck.bzl
index a1add44664..7f0a8ca6f2 100644
--- a/backends/xnnpack/third-party/xnnpack.buck.bzl
+++ b/backends/xnnpack/third-party/xnnpack.buck.bzl
@@ -1,7 +1,6 @@
 load("//third-party:glob_defs.bzl", "subdir_glob")
 load(
     ":xnnpack_src_defs.bzl",
-    "JIT_SRCS",
     "LOGGING_SRCS",
     "OPERATOR_SRCS",
     "SUBGRAPH_SRCS",
@@ -69,27 +68,6 @@ def define_xnnpack():
         ],
     )
 
-    # @lint-ignore BUCKLINT: native and fb_native are explicitly forbidden in fbcode.
-    native.cxx_library(
-        name = "jit_memory",
-        srcs = JIT_SRCS,
-        headers = subdir_glob([
-            ("XNNPACK/src", "**/*.h"),
-        ]),
-        header_namespace = "",
-        compiler_flags = [
-            "-std=c++17",
-        ],
-        preferred_linkage = "static",
-        preprocessor_flags = [
-            "-DXNN_LOG_LEVEL=0",
-        ],
-        exported_deps = [
-            ":clog",
-            ":interface",
-        ],
-    )
-
     # @lint-ignore BUCKLINT: native and fb_native are explicitly forbidden in fbcode.
     native.cxx_library(
         name = "operators",
@@ -139,7 +117,6 @@ def define_xnnpack():
         preferred_linkage = "static",
         preprocessor_flags = [
             "-DXNN_LOG_LEVEL=0",
-            "-DXNN_ENABLE_JIT=0",
             "-DXNN_ENABLE_SPARSE=0",
             "-DXNN_ENABLE_GEMM_M_SPECIALIZATION=0",
             "-DXNN_ENABLE_MEMOPT",
@@ -1223,7 +1200,6 @@ def define_xnnpack():
     ]
 
     ARM_XNNPACK_DEPS = [
-        ":jit_memory",
         ":ukernels_armsimd32",
         ":ukernels_fp16arith",
         ":ukernels_asm",
@@ -1246,11 +1222,10 @@ def define_xnnpack():
             "XNNPACK/src/configs/hardware-config.c",
             "XNNPACK/src/microparams-init.c",
             "XNNPACK/src/operator-run.c",
-            "XNNPACK/src/operators/post-operation.c",
             "XNNPACK/src/microkernel-utils.c",
         ],
         headers = subdir_glob([
-            ("XNNPACK/src", "xnnpack/*.h"),
+            ("XNNPACK/src", "**/*.h"),
             ("XNNPACK/include", "**/*.h"),
         ]),
         exported_headers = {
@@ -1271,7 +1246,6 @@ def define_xnnpack():
             "-DXNN_NO_X8_OPERATORS",
             "-DXNN_ENABLE_MEMOPT",
             "-DXNN_ENABLE_SPARSE=0",
-            "-DXNN_ENABLE_JIT=0",
             "-DXNN_ENABLE_ASSEMBLY",
             "-DXNN_ENABLE_GEMM_M_SPECIALIZATION",
             "-DXNN_ENABLE_ARM_DOTPROD",
diff --git a/backends/xnnpack/third-party/xnnpack_src_defs.bzl b/backends/xnnpack/third-party/xnnpack_src_defs.bzl
index 0a0beba7ef..d8ebe7c72b 100644
--- a/backends/xnnpack/third-party/xnnpack_src_defs.bzl
+++ b/backends/xnnpack/third-party/xnnpack_src_defs.bzl
@@ -200,7 +200,6 @@ PROD_F16C_MICROKERNEL_SRCS = [
 ]
 
 PROD_XOP_MICROKERNEL_SRCS = [
-    "XNNPACK/src/amalgam/gen/xop.c",
 ]
 
 PROD_AVX512F_MICROKERNEL_SRCS = [
@@ -493,30 +492,18 @@ AARCH64_ASM_MICROKERNEL_SRCS = [
     "XNNPACK/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-4x16c4-minmax-fp32-asm-aarch64-neondot-cortex-a55.S",
     "XNNPACK/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-4x16c4-minmax-fp32-asm-aarch64-neondot-ld64.S",
     "XNNPACK/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-4x16c4-minmax-fp32-asm-aarch64-neondot-ld128.S",
-    "XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x8c4-minmax-rndnu-asm-aarch64-neondot-cortex-a55.S",
-    "XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x8c4-minmax-rndnu-asm-aarch64-neondot-ld128.S",
     "XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-cortex-a53-prfm.S",
     "XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-cortex-a53.S",
     "XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-cortex-a75-prfm.S",
     "XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-cortex-a75.S",
     "XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-ld64-prfm.S",
     "XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-ld64.S",
-    "XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x16c4-minmax-fp32-asm-aarch64-neondot-cortex-a55.S",
-    "XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x16c4-minmax-fp32-asm-aarch64-neondot-ld128.S",
-    "XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x16c4-minmax-rndnu-asm-aarch64-neondot-cortex-a55.S",
-    "XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x16c4-minmax-rndnu-asm-aarch64-neondot-ld128.S",
-    "XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x8c4-minmax-rndnu-asm-aarch64-neondot-cortex-a55.S",
-    "XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x8c4-minmax-rndnu-asm-aarch64-neondot-ld128.S",
     "XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-cortex-a53-prfm.S",
     "XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-cortex-a53.S",
     "XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-cortex-a75-prfm.S",
     "XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-cortex-a75.S",
     "XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-ld64-prfm.S",
     "XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-ld64.S",
-    "XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x16c4-minmax-fp32-asm-aarch64-neondot-cortex-a55.S",
-    "XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x16c4-minmax-fp32-asm-aarch64-neondot-ld128.S",
-    "XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x16c4-minmax-rndnu-asm-aarch64-neondot-cortex-a55.S",
-    "XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x16c4-minmax-rndnu-asm-aarch64-neondot-ld128.S",
 ]
 
 XNNPACK_SRCS = [
diff --git a/backends/xnnpack/third-party/xnnpack_wrapper_defs.bzl b/backends/xnnpack/third-party/xnnpack_wrapper_defs.bzl
index 2dbb41ff01..a9d4af95cc 100644
--- a/backends/xnnpack/third-party/xnnpack_wrapper_defs.bzl
+++ b/backends/xnnpack/third-party/xnnpack_wrapper_defs.bzl
@@ -92,7 +92,6 @@ PROD_F16C_MICROKERNEL_SRCS = [
 ]
 
 PROD_XOP_MICROKERNEL_SRCS = [
-    "xnnpack_wrappers/amalgam/gen/xop.c",
 ]
 
 PROD_FMA3_MICROKERNEL_SRCS = [
@@ -447,28 +446,16 @@ AARCH64_ASM_MICROKERNEL_SRCS = [
     "xnnpack_wrappers/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-4x16c4-minmax-fp32-asm-aarch64-neondot-cortex-a55.S",
     "xnnpack_wrappers/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-4x16c4-minmax-fp32-asm-aarch64-neondot-ld64.S",
     "xnnpack_wrappers/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-4x16c4-minmax-fp32-asm-aarch64-neondot-ld128.S",
-    "xnnpack_wrappers/qu8-gemm/gen/qu8-gemm-4x8c4-minmax-rndnu-asm-aarch64-neondot-cortex-a55.S",
-    "xnnpack_wrappers/qu8-gemm/gen/qu8-gemm-4x8c4-minmax-rndnu-asm-aarch64-neondot-ld128.S",
     "xnnpack_wrappers/qu8-gemm/gen/qu8-gemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-cortex-a53-prfm.S",
     "xnnpack_wrappers/qu8-gemm/gen/qu8-gemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-cortex-a53.S",
     "xnnpack_wrappers/qu8-gemm/gen/qu8-gemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-cortex-a75-prfm.S",
     "xnnpack_wrappers/qu8-gemm/gen/qu8-gemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-cortex-a75.S",
     "xnnpack_wrappers/qu8-gemm/gen/qu8-gemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-ld64-prfm.S",
     "xnnpack_wrappers/qu8-gemm/gen/qu8-gemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-ld64.S",
-    "xnnpack_wrappers/qu8-gemm/gen/qu8-gemm-4x16c4-minmax-fp32-asm-aarch64-neondot-cortex-a55.S",
-    "xnnpack_wrappers/qu8-gemm/gen/qu8-gemm-4x16c4-minmax-fp32-asm-aarch64-neondot-ld128.S",
-    "xnnpack_wrappers/qu8-gemm/gen/qu8-gemm-4x16c4-minmax-rndnu-asm-aarch64-neondot-cortex-a55.S",
-    "xnnpack_wrappers/qu8-gemm/gen/qu8-gemm-4x16c4-minmax-rndnu-asm-aarch64-neondot-ld128.S",
-    "xnnpack_wrappers/qu8-igemm/gen/qu8-igemm-4x8c4-minmax-rndnu-asm-aarch64-neondot-cortex-a55.S",
-    "xnnpack_wrappers/qu8-igemm/gen/qu8-igemm-4x8c4-minmax-rndnu-asm-aarch64-neondot-ld128.S",
     "xnnpack_wrappers/qu8-igemm/gen/qu8-igemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-cortex-a53-prfm.S",
     "xnnpack_wrappers/qu8-igemm/gen/qu8-igemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-cortex-a53.S",
     "xnnpack_wrappers/qu8-igemm/gen/qu8-igemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-cortex-a75-prfm.S",
     "xnnpack_wrappers/qu8-igemm/gen/qu8-igemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-cortex-a75.S",
     "xnnpack_wrappers/qu8-igemm/gen/qu8-igemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-ld64-prfm.S",
     "xnnpack_wrappers/qu8-igemm/gen/qu8-igemm-4x16-minmax-rndnu-asm-aarch64-neon-mlal-lane-ld64.S",
-    "xnnpack_wrappers/qu8-igemm/gen/qu8-igemm-4x16c4-minmax-fp32-asm-aarch64-neondot-cortex-a55.S",
-    "xnnpack_wrappers/qu8-igemm/gen/qu8-igemm-4x16c4-minmax-fp32-asm-aarch64-neondot-ld128.S",
-    "xnnpack_wrappers/qu8-igemm/gen/qu8-igemm-4x16c4-minmax-rndnu-asm-aarch64-neondot-cortex-a55.S",
-    "xnnpack_wrappers/qu8-igemm/gen/qu8-igemm-4x16c4-minmax-rndnu-asm-aarch64-neondot-ld128.S",
 ]
diff --git a/backends/xnnpack/threadpool/test/targets.bzl b/backends/xnnpack/threadpool/test/targets.bzl
deleted file mode 100644
index 7bbcd8c4c0..0000000000
--- a/backends/xnnpack/threadpool/test/targets.bzl
+++ /dev/null
@@ -1,20 +0,0 @@
-load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
-
-def define_common_targets():
-    """Defines targets that should be shared between fbcode and xplat.
-
-    The directory containing this targets.bzl file should also contain both
-    TARGETS and BUCK files that call this function.
-    """
-
-    _THREADPOOL_TESTS = [
-        "threadpool_test.cpp",
-    ] + (["fb/threadpool_use_n_threads_test.cpp"] if not runtime.is_oss else [])
-
-    runtime.cxx_test(
-        name = "threadpool_test",
-        srcs = _THREADPOOL_TESTS,
-        deps = [
-            "//executorch/backends/xnnpack/threadpool:threadpool",
-        ],
-    )
diff --git a/backends/xnnpack/utils/TARGETS b/backends/xnnpack/utils/TARGETS
index b542006e3b..55615e1106 100644
--- a/backends/xnnpack/utils/TARGETS
+++ b/backends/xnnpack/utils/TARGETS
@@ -9,6 +9,7 @@ python_library(
         "//caffe2:torch",
         "//executorch/exir:lib",
         "//executorch/exir:pass_manager",
+        "//executorch/exir/backend/canonical_partitioners:config_partitioner_lib",
         "//executorch/exir/dialects:lib",
         "//pytorch/ao:torchao",  # @manual
     ],
diff --git a/backends/xnnpack/utils/configs.py b/backends/xnnpack/utils/configs.py
index 3fe290606c..9dda84c5e5 100644
--- a/backends/xnnpack/utils/configs.py
+++ b/backends/xnnpack/utils/configs.py
@@ -12,8 +12,12 @@
 
 
 ### XNNPACK Configs ###
-def get_xnnpack_edge_compile_config() -> exir.EdgeCompileConfig:
-    return exir.EdgeCompileConfig(_check_ir_validity=False, _skip_dim_order=True)
+def get_xnnpack_edge_compile_config(
+    skip_dim_order: bool = True,
+) -> exir.EdgeCompileConfig:
+    return exir.EdgeCompileConfig(
+        _check_ir_validity=False, _skip_dim_order=skip_dim_order
+    )
 
 
 def get_transform_passes(additional_passes=None) -> List[PassType]:
diff --git a/backends/xnnpack/utils/quant_utils.py b/backends/xnnpack/utils/quant_utils.py
index 0b6e7e496a..7c035757a6 100644
--- a/backends/xnnpack/utils/quant_utils.py
+++ b/backends/xnnpack/utils/quant_utils.py
@@ -4,29 +4,185 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+import operator
+from itertools import accumulate
+from typing import cast
+
 import torch
-from executorch.exir.dialects._ops import ops as exir_ops
-
-DQ_TARGETS = {
-    exir_ops.edge.quantized_decomposed.dequantize_per_tensor.default,
-    exir_ops.edge.quantized_decomposed.dequantize_per_tensor.tensor,
-    exir_ops.edge.quantized_decomposed.dequantize_per_channel.default,
-    exir_ops.edge.quantized_decomposed.dequantize_per_channel_group.default,
-    exir_ops.edge.quantized_decomposed.dequantize_per_token.default,
+from executorch.exir.backend.canonical_partitioners.config_partitioner import (
+    format_target_name,
+)
+
+_Q_OPS = {
+    "quantize_per_tensor.tensor",
+    "quantize_per_tensor.default",
+    "quantize_per_channel.default",
+    "quantize_per_channel_group.default",
+    "quantize_per_token.default",
+    "quantize_affine.default",
+}
+
+_DQ_OPS = {
+    "dequantize_per_tensor.tensor",
+    "dequantize_per_tensor.default",
+    "dequantize_per_channel.default",
+    "dequantize_per_channel_group.default",
+    "dequantize_per_token.default",
+    "dequantize_affine.default",
 }
 
-Q_TARGETS = {
-    exir_ops.edge.quantized_decomposed.quantize_per_tensor.default,
-    exir_ops.edge.quantized_decomposed.quantize_per_tensor.tensor,
-    exir_ops.edge.quantized_decomposed.quantize_per_channel.default,
-    exir_ops.edge.quantized_decomposed.quantize_per_channel_group.default,
-    exir_ops.edge.quantized_decomposed.quantize_per_token.default,
+
+_QPARAM_OPS = {
+    "choose_qparams.tensor",
+    "choose_qparams_per_token_asymmetric.default",
+    "choose_qparams_affine.default",
 }
 
+_DYNAMIC_OPS = {
+    "quantize_per_tensor.tensor",
+    "quantize_per_token.default",
+    "dequantize_per_tensor.tensor",
+    "dequantize_per_token.default",
+}
+
+
+def is_dynamic_qdq(node: torch.fx.Node) -> bool:
+    if node.op != "call_function":
+        return False
+    node_name = format_target_name(node.target.__name__)  # pyre-ignore
+    is_dynamic_affine = is_per_token(node) and not is_per_channel_group(node)
+
+    return node_name in _DYNAMIC_OPS or is_dynamic_affine
+
+
+def is_qparam(node: torch.fx.Node) -> bool:
+    if node.op != "call_function":
+        return False
+    node_name = format_target_name(node.target.__name__)  # pyre-ignore
+
+    return node_name in _QPARAM_OPS
+
+
+def is_quant(node: torch.fx.Node) -> bool:
+    if node.op != "call_function":
+        return False
+    node_name = format_target_name(node.target.__name__)  # pyre-ignore
+
+    return node_name in _Q_OPS
+
+
+def is_dequant(node: torch.fx.Node) -> bool:
+    if node.op != "call_function":
+        return False
+    node_name = format_target_name(node.target.__name__)  # pyre-ignore
+
+    return node_name in _DQ_OPS
+
+
+def is_per_channel(node: torch.fx.Node) -> bool:
+    if not (is_quant(node) or is_dequant(node)):
+        return False
+
+    is_affine_per_channel_group = is_per_channel_group(node)
+    is_per_channel = "per_channel" in node.target.__name__  # pyre-ignore
+
+    return is_per_channel or is_affine_per_channel_group
+
+
+def is_affine_qdq(node: torch.fx.Node) -> bool:
+    if not (is_quant(node) or is_dequant(node)):
+        return False
+
+    return "quantize_affine" in node.target.__name__  # pyre-ignore
+
+
+def _get_block_size_input_scale(node: torch.fx.Node):
+    assert is_affine_qdq(node)
+    block_size = node.args[1]
+    input_val = node.all_input_nodes[0].meta["val"]
+    scale_val = node.all_input_nodes[1].meta["val"]
+    return block_size, input_val, scale_val
+
+
+def is_per_token(node: torch.fx.Node):
+    if not (is_quant(node) or is_dequant(node)):
+        return False
+
+    if "per_token" in node.target.__name__:  # pyre-ignore
+        return True
+    elif is_affine_qdq(node):
+        block_size, input_val, scale_val = _get_block_size_input_scale(node)
+        flag = True
+        scale_numel_expected = 1
+        for i in range(len(block_size) - 1):
+            flag &= block_size[i] == 1
+            scale_numel_expected *= input_val.shape[i]
+
+        flag &= block_size[-1] == input_val.shape[-1]
+        flag &= scale_val.numel() == scale_numel_expected
+        return flag
+
+    return False
+
+
+def is_per_channel_group(node: torch.fx.Node):
+    if not (is_quant(node) or is_dequant(node)):
+        return False
+
+    if "per_channel_group" in node.target.__name__:  # pyre-ignore
+        return True
+    elif is_affine_qdq(node):
+        block_size, input_val, scale_val = _get_block_size_input_scale(node)
+        flag = True
+        flag &= len(block_size) == 2
+        flag &= block_size[0] == 1
+        group_size = block_size[1]
+        scale_numel = list(accumulate(scale_val.shape, operator.mul))[-1]
+        input_numel = list(accumulate(input_val.shape, operator.mul))[-1]
+        flag &= input_numel == group_size * scale_numel
+        return flag
+
+    return False
+
+
+def extract_qdq_affine_op_args_for_decomposed_ops(node: torch.fx.Node):
+    if not is_affine_qdq(node):
+        return None, None
+    # make sure input_dtype and zero_point_domain have expected values
+    input_node = node.args[0]
+    scale_node = node.args[2]
+    zero_point_node = node.args[3]
+    args = [input_node, scale_node, zero_point_node]
+    assert (
+        len(node.args) > 4
+    ), f"expecting at least 6 args, got node: {node.format_node()}"
+
+    if node.args[4] != torch.int8:
+        return None, None
+    target_dtype = cast(torch.dtype, node.args[4])
+
+    if len(node.args) > 6:
+        # quant_min
+        args.append(node.args[5])
+        # quant_max
+        args.append(node.args[6])
+    else:
+        dtype_info = torch.iinfo(target_dtype)
+        quant_min = dtype_info.min
+        quant_max = dtype_info.max
+        args.append(quant_min)
+        args.append(quant_max)
+
+    # add target_dtype_node after quant_min/quant_max
+    args.append(target_dtype)
+    # zero_point_domain
+    if len(node.args) > 7 and node.args[7] != "INT":
+        return None, None
 
-def is_quant(tensor: torch.fx.Node) -> bool:
-    return tensor.target in Q_TARGETS
+    if is_per_channel_group(node):
+        block_sizes = cast(list[int], node.args[1])
+        args.append(block_sizes[-1])
 
+    args.append(node.args[-1])
 
-def is_dequant(tensor: torch.fx.Node) -> bool:
-    return tensor.target in DQ_TARGETS
+    return args
diff --git a/backends/xnnpack/utils/utils.py b/backends/xnnpack/utils/utils.py
index 5c76922472..b802d73c16 100644
--- a/backends/xnnpack/utils/utils.py
+++ b/backends/xnnpack/utils/utils.py
@@ -4,7 +4,7 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
-from typing import cast, Optional, Tuple
+from typing import Any, cast, Optional, Tuple
 
 import executorch.exir as exir
 import torch
@@ -62,6 +62,20 @@ def check_or_raise(condition: bool, err: str) -> None:
         raise RuntimeError(err)
 
 
+def is_node(node: Any) -> bool:
+    """
+    returns true if node is a torch.fx.Node, otherwise false
+    """
+    return isinstance(node, torch.fx.Node)
+
+
+def is_getitem(node: torch.fx.Node) -> bool:
+    if node.op != "call_function":
+        return False
+
+    return node.target.__name__ == "getitem"  # pyre-ignore
+
+
 def get_input_node(node: torch.fx.Node, input_index: int) -> torch.fx.Node:
     return cast(torch.fx.Node, node.args[input_index])
 
diff --git a/backends/xnnpack/xnnpack_preprocess.py b/backends/xnnpack/xnnpack_preprocess.py
index 5d4c05a535..b7ee440c28 100644
--- a/backends/xnnpack/xnnpack_preprocess.py
+++ b/backends/xnnpack/xnnpack_preprocess.py
@@ -78,6 +78,22 @@ def generate_node_to_external_map(
     return node_to_external_map
 
 
+def assert_default_dim_order(edge_graph_module: torch.fx.GraphModule) -> None:
+    for node in edge_graph_module.graph.nodes:
+        if node.op != "placeholder":
+            continue
+
+        # We expect the default dim order for all tensor-like inputs i.e. inputs, buffers, and params
+        t = node.meta.get("val", None)
+        if t is not None and getattr(t, "dim_order", None) is not None:
+            default_dim_order = tuple(range(t.dim()))
+            if t.dim_order() != default_dim_order:
+                raise RuntimeError(
+                    f"XNNPACK backend only supports contiguous memory format for inputs."
+                    f"Expecting dim_order: {default_dim_order}, but got {node.meta['val'].dim_order()} for a placeholder node {node}."
+                )
+
+
 @final
 class XnnpackBackend(BackendDetails):
     @staticmethod
@@ -126,6 +142,9 @@ def preprocess(
 
         node_to_external_map = generate_node_to_external_map(ep, graph_module)
 
+        # Make sure all inputs are contiguous_format or NCHW or default dim order
+        assert_default_dim_order(graph_module)
+
         # TODO retrace the graph module to lift the new params may have
         # been added to the graph in passes
 
diff --git a/build/Codegen.cmake b/build/Codegen.cmake
index 01f35718b8..381cd0958f 100644
--- a/build/Codegen.cmake
+++ b/build/Codegen.cmake
@@ -78,7 +78,8 @@ function(generate_bindings_for_kernels)
   # Executorch runtime.
   execute_process(
     COMMAND
-      "${PYTHON_EXECUTABLE}" -c "from distutils.sysconfig import get_python_lib;print(get_python_lib())"
+      "${PYTHON_EXECUTABLE}" -c
+      "from distutils.sysconfig import get_python_lib;print(get_python_lib())"
     OUTPUT_VARIABLE site-packages-out
     ERROR_VARIABLE site-packages-out-error
     RESULT_VARIABLE site-packages-result
@@ -150,9 +151,8 @@ function(gen_custom_ops_aot_lib)
   include(${EXECUTORCH_ROOT}/build/Utils.cmake)
 
   target_link_options_shared_lib(${GEN_LIB_NAME})
-  if(EXECUTORCH_BUILD_PYBIND AND APPLE)
-    target_link_libraries(${GEN_LIB_NAME} PRIVATE executorch_no_prim_ops_shared)
-    target_link_options(${GEN_LIB_NAME} PRIVATE -undefined dynamic_lookup)
+  if(TARGET portable_lib)
+    target_link_libraries(${GEN_LIB_NAME} PRIVATE portable_lib)
   else()
     target_link_libraries(${GEN_LIB_NAME} PRIVATE executorch_no_prim_ops)
   endif()
diff --git a/build/Test.cmake b/build/Test.cmake
index b2b23cb03a..d6ef124793 100644
--- a/build/Test.cmake
+++ b/build/Test.cmake
@@ -5,8 +5,8 @@
 # LICENSE file in the root directory of this source tree.
 
 #
-# This file is intended to have helper functions for test-related
-# CMakeLists.txt files.
+# This file is intended to have helper functions for test-related CMakeLists.txt
+# files.
 #
 # ### Editing this file ###
 #
@@ -25,61 +25,66 @@ find_package(executorch CONFIG REQUIRED)
 enable_testing()
 find_package(GTest CONFIG REQUIRED)
 
+target_link_options_shared_lib(cpuinfo)
 target_link_options_shared_lib(extension_data_loader)
 target_link_options_shared_lib(portable_kernels)
 target_link_options_shared_lib(portable_ops_lib)
+target_link_options_shared_lib(pthreadpool)
 target_link_options_shared_lib(quantized_ops_lib)
 
 # Add code coverage flags to supported compilers
 if(EXECUTORCH_USE_CPP_CODE_COVERAGE)
   if("${CMAKE_CXX_COMPILER_ID}" STREQUAL "GNU")
-    string(APPEND CMAKE_C_FLAGS  " --coverage -fprofile-abs-path")
-    string(APPEND CMAKE_CXX_FLAGS  " --coverage -fprofile-abs-path")
+    string(APPEND CMAKE_C_FLAGS " --coverage -fprofile-abs-path")
+    string(APPEND CMAKE_CXX_FLAGS " --coverage -fprofile-abs-path")
   elseif("${CMAKE_CXX_COMPILER_ID}" MATCHES "Clang")
-    string(APPEND CMAKE_C_FLAGS  " -fprofile-instr-generate -fcoverage-mapping")
-    string(APPEND CMAKE_CXX_FLAGS " -fprofile-instr-generate -fcoverage-mapping")
+    string(APPEND CMAKE_C_FLAGS " -fprofile-instr-generate -fcoverage-mapping")
+    string(APPEND CMAKE_CXX_FLAGS
+           " -fprofile-instr-generate -fcoverage-mapping"
+    )
   else()
-    message(ERROR "Code coverage for compiler ${CMAKE_CXX_COMPILER_ID} is unsupported")
+    message(ERROR
+            "Code coverage for compiler ${CMAKE_CXX_COMPILER_ID} is unsupported"
+    )
   endif()
 endif()
 
-# A helper function to generate a gtest cxx executable target
-# @param target_name: name for the executable
-# @param SOURCES <list_of_sources>: test sources to be compiled. Sometimes
-# util sources are used as well
-# @param EXTRA LIBS <list_of_libs>: additional libraries to be linked against
-# the target. gtest, gmock, executorch are linked by default, but Sometimes
-# user may need additional libraries like kernels.
-# We use CMake package executorch in this helper, so user can easily add
-# installed libraries.
+# A helper function to generate a gtest cxx executable target @param
+# target_name: name for the executable @param SOURCES <list_of_sources>: test
+# sources to be compiled. Sometimes util sources are used as well @param EXTRA
+# LIBS <list_of_libs>: additional libraries to be linked against the target.
+# gtest, gmock, executorch are linked by default, but Sometimes user may need
+# additional libraries like kernels. We use CMake package executorch in this
+# helper, so user can easily add installed libraries.
 #
-# Example:
-# et_cxx_test(my_test SOURCES my_test.cpp EXTRA_LIBS portable_kernels)
+# Example: et_cxx_test(my_test SOURCES my_test.cpp EXTRA_LIBS portable_kernels)
 #
 # This defines a gtest executable my_test, compiling my_test.cpp, and linking
 # against libportable_kernels.a.
 #
 function(et_cxx_test target_name)
 
-set(multi_arg_names SOURCES EXTRA_LIBS)
-cmake_parse_arguments(ET_CXX_TEST "" "" "${multi_arg_names}" ${ARGN})
+  set(multi_arg_names SOURCES EXTRA_LIBS)
+  cmake_parse_arguments(ET_CXX_TEST "" "" "${multi_arg_names}" ${ARGN})
 
-# Let files say "include <executorch/path/to/header.h>".
-target_include_directories(executorch INTERFACE ${EXECUTORCH_ROOT}/..)
+  # Let files say "include <executorch/path/to/header.h>".
+  target_include_directories(executorch INTERFACE ${EXECUTORCH_ROOT}/..)
 
-set(ET_TEST_UTIL_SOURCES ${EXECUTORCH_ROOT}/runtime/core/exec_aten/testing_util/tensor_util.cpp)
+  set(ET_TEST_UTIL_SOURCES
+      ${EXECUTORCH_ROOT}/runtime/core/exec_aten/testing_util/tensor_util.cpp
+  )
 
-add_executable(${target_name} ${ET_CXX_TEST_SOURCES} ${ET_TEST_UTIL_SOURCES})
-# Includes gtest, gmock, executorch by default
-target_link_libraries(
-  ${target_name} GTest::gtest GTest::gtest_main GTest::gmock executorch
-  ${ET_CXX_TEST_EXTRA_LIBS}
-)
+  add_executable(${target_name} ${ET_CXX_TEST_SOURCES} ${ET_TEST_UTIL_SOURCES})
+  # Includes gtest, gmock, executorch by default
+  target_link_libraries(
+    ${target_name} GTest::gtest GTest::gtest_main GTest::gmock executorch
+    ${ET_CXX_TEST_EXTRA_LIBS}
+  )
 
-# add_test adds a test target to be used by ctest.
-# We use `ExecuTorchTest` as the ctest target name for the test executable
-# Usage: cd cmake-out/path/to/test/; ctest
-# Note: currently we directly invoke the test target, without using ctest
-add_test(ExecuTorchTest ${target_name})
+  # add_test adds a test target to be used by ctest. We use `ExecuTorchTest` as
+  # the ctest target name for the test executable Usage: cd
+  # cmake-out/path/to/test/; ctest Note: currently we directly invoke the test
+  # target, without using ctest
+  add_test(ExecuTorchTest ${target_name})
 
 endfunction()
diff --git a/build/Utils.cmake b/build/Utils.cmake
index 56fc1e104b..3ea616d590 100644
--- a/build/Utils.cmake
+++ b/build/Utils.cmake
@@ -65,6 +65,12 @@ function(executorch_print_configuration_summary)
   message(STATUS "  EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : "
                  "${EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL}"
   )
+  message(STATUS "  EXECUTORCH_BUILD_EXTENSION_TENSOR      : "
+                 "${EXECUTORCH_BUILD_EXTENSION_TENSOR}"
+  )
+  message(STATUS "  EXECUTORCH_BUILD_EXTENSION_TRAINING      : "
+                 "${EXECUTORCH_BUILD_EXTENSION_TRAINING}"
+  )
   message(
     STATUS
       "  EXECUTORCH_BUILD_FLATC                 : ${EXECUTORCH_BUILD_FLATC}"
@@ -97,7 +103,7 @@ function(executorch_print_configuration_summary)
                  "${EXECUTORCH_BUILD_KERNELS_QUANTIZED}"
   )
   message(
-    STATUS "  EXECUTORCH_BUILD_SDK                   : ${EXECUTORCH_BUILD_SDK}"
+    STATUS "  EXECUTORCH_BUILD_DEVTOOLS              : ${EXECUTORCH_BUILD_DEVTOOLS}"
   )
   message(
     STATUS
@@ -143,11 +149,21 @@ function(macos_kernel_link_options target_name)
   )
 endfunction()
 
+# Same as kernel_link_options but it's for MSVC linker
+function(msvc_kernel_link_options target_name)
+  target_link_options(
+    ${target_name} INTERFACE
+    "SHELL:LINKER:/WHOLEARCHIVE:$<TARGET_FILE:${target_name}>"
+  )
+endfunction()
+
 # Ensure that the load-time constructor functions run. By default, the linker
 # would remove them since there are no other references to them.
 function(target_link_options_shared_lib target_name)
   if(APPLE)
     macos_kernel_link_options(${target_name})
+  elseif(MSVC)
+    msvc_kernel_link_options(${target_name})
   else()
     kernel_link_options(${target_name})
   endif()
@@ -171,11 +187,20 @@ function(extract_sources sources_file)
       set(executorch_root ${CMAKE_CURRENT_SOURCE_DIR})
     endif()
 
+    if(ANDROID_ABI)
+      if("${ANDROID_ABI}" STREQUAL "arm64-v8a")
+        set(target_platforms_arg "--target-platforms=shim//:android-arm64")
+      elseif("${ANDROID_ABI}" STREQUAL "x86_64")
+        set(target_platforms_arg "--target-platforms=shim//:android-x86_64")
+      else()
+        message(FATAL_ERROR "Unsupported ANDROID_ABI setting ${ANDROID_ABI}. Please add it here!")
+      endif()
+    endif()
     execute_process(
       COMMAND
         ${PYTHON_EXECUTABLE} ${executorch_root}/build/extract_sources.py
         --config=${executorch_root}/build/cmake_deps.toml --out=${sources_file}
-        --buck2=${BUCK2}
+        --buck2=${BUCK2} ${target_platforms_arg}
       OUTPUT_VARIABLE gen_srcs_output
       ERROR_VARIABLE gen_srcs_error
       RESULT_VARIABLE gen_srcs_exit_code
diff --git a/build/build_android_llm_demo.sh b/build/build_android_llm_demo.sh
index 5bba039a31..42034c254f 100644
--- a/build/build_android_llm_demo.sh
+++ b/build/build_android_llm_demo.sh
@@ -17,25 +17,33 @@ build_jar() {
 
 build_android_native_library() {
   ANDROID_ABI="$1"
-  TOKENIZER="$2"
   ANDROID_NDK="${ANDROID_NDK:-/opt/ndk}"
   CMAKE_OUT="cmake-out-android-${ANDROID_ABI}"
-  if [[ $TOKENIZER == "tiktoken" ]]; then
-    EXECUTORCH_USE_TIKTOKEN=ON
+  QNN_SDK_ROOT="${QNN_SDK_ROOT:-}"
+  if [ -n "$QNN_SDK_ROOT" ]; then
+    EXECUTORCH_BUILD_QNN=ON
   else
-    EXECUTORCH_USE_TIKTOKEN=OFF
+    EXECUTORCH_BUILD_QNN=OFF
   fi
 
+
   cmake . -DCMAKE_INSTALL_PREFIX="${CMAKE_OUT}" \
     -DCMAKE_TOOLCHAIN_FILE="${ANDROID_NDK}/build/cmake/android.toolchain.cmake" \
     -DANDROID_ABI="${ANDROID_ABI}" \
     -DANDROID_PLATFORM=android-23 \
+    -DEXECUTORCH_ENABLE_LOGGING=ON \
+    -DEXECUTORCH_LOG_LEVEL=Info \
     -DEXECUTORCH_BUILD_XNNPACK=ON \
+    -DEXECUTORCH_XNNPACK_SHARED_WORKSPACE=ON \
     -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
     -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
     -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
     -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
     -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
+    -DEXECUTORCH_BUILD_QNN="${EXECUTORCH_BUILD_QNN}" \
+    -DQNN_SDK_ROOT="${QNN_SDK_ROOT}" \
     -DCMAKE_BUILD_TYPE=Release \
     -B"${CMAKE_OUT}"
 
@@ -46,27 +54,15 @@ build_android_native_library() {
   fi
   cmake --build "${CMAKE_OUT}" -j "${CMAKE_JOBS}" --target install --config Release
 
-  cmake examples/models/llama2 \
-    -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake \
-    -DANDROID_ABI="$ANDROID_ABI" \
-    -DANDROID_PLATFORM=android-23 \
-    -DCMAKE_INSTALL_PREFIX="${CMAKE_OUT}" \
-    -DEXECUTORCH_USE_TIKTOKEN="${EXECUTORCH_USE_TIKTOKEN}" \
-    -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
-    -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
-    -DEXECUTORCH_BUILD_XNNPACK=ON \
-    -DCMAKE_BUILD_TYPE=Release \
-    -B"${CMAKE_OUT}"/examples/models/llama2
-
-  cmake --build "${CMAKE_OUT}"/examples/models/llama2 -j "${CMAKE_JOBS}" --config Release
-
   cmake extension/android \
     -DCMAKE_TOOLCHAIN_FILE=${ANDROID_NDK}/build/cmake/android.toolchain.cmake \
     -DANDROID_ABI="${ANDROID_ABI}" \
     -DANDROID_PLATFORM=android-23 \
     -DCMAKE_INSTALL_PREFIX="${CMAKE_OUT}" \
+    -DEXECUTORCH_ENABLE_LOGGING=ON \
+    -DEXECUTORCH_LOG_LEVEL=Info \
+    -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
     -DEXECUTORCH_BUILD_LLAMA_JNI=ON \
-    -DEXECUTORCH_USE_TIKTOKEN="${EXECUTORCH_USE_TIKTOKEN}" \
     -DCMAKE_BUILD_TYPE=Release \
     -B"${CMAKE_OUT}"/extension/android
 
@@ -75,6 +71,19 @@ build_android_native_library() {
   # Copy artifacts to ABI specific directory
   mkdir -p "${BUILD_AAR_DIR}/jni/${ANDROID_ABI}"
   cp "${CMAKE_OUT}"/extension/android/*.so "${BUILD_AAR_DIR}/jni/${ANDROID_ABI}/"
+
+  # Copy QNN related so library
+  if [ -n "$QNN_SDK_ROOT" ] && [ "$ANDROID_ABI" == "arm64-v8a" ]; then
+    cp "${CMAKE_OUT}"/lib/libqnn_executorch_backend.so "${BUILD_AAR_DIR}/jni/${ANDROID_ABI}/"
+    cp "${QNN_SDK_ROOT}"/lib/aarch64-android/libQnnHtp.so "${BUILD_AAR_DIR}/jni/${ANDROID_ABI}/"
+    cp "${QNN_SDK_ROOT}"/lib/aarch64-android/libQnnSystem.so "${BUILD_AAR_DIR}/jni/${ANDROID_ABI}/"
+    cp "${QNN_SDK_ROOT}"/lib/aarch64-android/libQnnHtpV69Stub.so "${BUILD_AAR_DIR}/jni/${ANDROID_ABI}/"
+    cp "${QNN_SDK_ROOT}"/lib/aarch64-android/libQnnHtpV73Stub.so "${BUILD_AAR_DIR}/jni/${ANDROID_ABI}/"
+    cp "${QNN_SDK_ROOT}"/lib/aarch64-android/libQnnHtpV75Stub.so "${BUILD_AAR_DIR}/jni/${ANDROID_ABI}/"
+    cp "${QNN_SDK_ROOT}"/lib/hexagon-v69/unsigned/libQnnHtpV69Skel.so "${BUILD_AAR_DIR}/jni/${ANDROID_ABI}/"
+    cp "${QNN_SDK_ROOT}"/lib/hexagon-v73/unsigned/libQnnHtpV73Skel.so "${BUILD_AAR_DIR}/jni/${ANDROID_ABI}/"
+    cp "${QNN_SDK_ROOT}"/lib/hexagon-v75/unsigned/libQnnHtpV75Skel.so "${BUILD_AAR_DIR}/jni/${ANDROID_ABI}/"
+  fi
 }
 
 build_aar() {
@@ -87,23 +96,28 @@ build_aar() {
   # between Java and JNI
   find jni -type f -name "libexecutorch_jni.so" -exec bash -c 'mv "$1" "${1/_jni/}"' bash {} \;
   # Zip all necessary files into the AAR file
-  zip -r executorch.aar libs jni/*/libexecutorch.so AndroidManifest.xml
-  zip -r executorch-llama.aar libs jni/*/libexecutorch_llama_jni.so AndroidManifest.xml
+  zip -r executorch.aar libs jni/*/libexecutorch.so jni/*/libqnn*.so jni/*/libQnn*.so AndroidManifest.xml
+  cp executorch.aar executorch-llama.aar
   popd
 }
 
-build_android_llm_demo_app() {
+build_android_demo_apps() {
   mkdir -p examples/demo-apps/android/LlamaDemo/app/libs
   cp ${BUILD_AAR_DIR}/executorch-llama.aar examples/demo-apps/android/LlamaDemo/app/libs
   pushd examples/demo-apps/android/LlamaDemo
   ANDROID_HOME="${ANDROID_SDK:-/opt/android/sdk}" ./gradlew build assembleAndroidTest
   popd
+
+  mkdir -p extension/android/benchmark/app/libs
+  cp ${BUILD_AAR_DIR}/executorch.aar extension/android/benchmark/app/libs
+  pushd extension/android/benchmark
+  ANDROID_HOME="${ANDROID_SDK:-/opt/android/sdk}" ./gradlew build assembleAndroidTest
+  popd
 }
 
 collect_artifacts_to_be_uploaded() {
-  TOKENIZER="$1"
-  ARTIFACTS_DIR_NAME="$2"
-  DEMO_APP_DIR="${ARTIFACTS_DIR_NAME}/llm_demo_${TOKENIZER}"
+  ARTIFACTS_DIR_NAME="$1"
+  DEMO_APP_DIR="${ARTIFACTS_DIR_NAME}/llm_demo"
   # The app directory is named using its build flavor as a suffix.
   mkdir -p "${DEMO_APP_DIR}"
   # Collect the app and its test suite
@@ -118,20 +132,26 @@ collect_artifacts_to_be_uploaded() {
   # Collect JAR and AAR
   cp extension/android/build/libs/executorch.jar "${DEMO_APP_DIR}"
   find "${BUILD_AAR_DIR}/" -name 'executorch*.aar' -exec cp {} "${DEMO_APP_DIR}" \;
+  # Collect MiniBench APK
+  MINIBENCH_APP_DIR="${ARTIFACTS_DIR_NAME}/minibench"
+  mkdir -p "${MINIBENCH_APP_DIR}"
+  cp extension/android/benchmark/app/build/outputs/apk/debug/*.apk "${MINIBENCH_APP_DIR}"
+  cp extension/android/benchmark/app/build/outputs/apk/androidTest/debug/*.apk "${MINIBENCH_APP_DIR}"
 }
 
 BUILD_AAR_DIR="$(mktemp -d)"
 export BUILD_AAR_DIR
-ANDROID_ABIS=("arm64-v8a" "x86_64")
+if [ -z "$ANDROID_ABIS" ]; then
+  ANDROID_ABIS=("arm64-v8a" "x86_64")
+fi
 export ANDROID_ABIS
 
-TOKENIZER="${1:-bpe}"
-ARTIFACTS_DIR_NAME="$2"
+ARTIFACTS_DIR_NAME="$1"
 
 build_jar
 for ANDROID_ABI in "${ANDROID_ABIS[@]}"; do
-  build_android_native_library ${ANDROID_ABI} ${TOKENIZER}
+  build_android_native_library ${ANDROID_ABI}
 done
 build_aar
-build_android_llm_demo_app
-collect_artifacts_to_be_uploaded ${TOKENIZER} ${ARTIFACTS_DIR_NAME}
+build_android_demo_apps
+collect_artifacts_to_be_uploaded ${ARTIFACTS_DIR_NAME}
diff --git a/build/build_apple_frameworks.sh b/build/build_apple_frameworks.sh
index 73635c3f90..348111e2b4 100755
--- a/build/build_apple_frameworks.sh
+++ b/build/build_apple_frameworks.sh
@@ -33,6 +33,7 @@ libexecutorch_no_prim_ops.a,\
 libextension_apple.a,\
 libextension_data_loader.a,\
 libextension_module.a,\
+libextension_tensor.a,\
 :$HEADERS_PATH"
 
 FRAMEWORK_BACKEND_COREML="backend_coreml:\
@@ -76,7 +77,7 @@ usage() {
   echo
   echo "Options:"
   echo "  --output=DIR         Output directory. Default: 'cmake-out'"
-  echo "  --Debug              Use Debug build mode. Default: 'Release'"
+  echo "  --Debug              Use Debug build mode. Default: Uses Release build mode."
   echo "  --toolchain=FILE     Cmake toolchain file. Default: '\$SOURCE_ROOT_DIR/third-party/ios-cmake/ios.toolchain.cmake'"
   echo "  --buck2=FILE         Buck2 executable path. Default: Path of buck2 found in the current \$PATH"
   echo "  --python=FILE        Python executable path. Default: Path of python3 found in the current \$PATH"
@@ -90,7 +91,7 @@ usage() {
   echo "  --xnnpack            Include this flag to build the XNNPACK backend."
   echo
   echo "Example:"
-  echo "  $0 /path/to/source/root --output=cmake-out --Release --toolchain=/path/to/cmake/toolchain --buck2=/path/to/buck2 --python=/path/to/python3 --coreml --mps --xnnpack"
+  echo "  $0 /path/to/source/root --output=cmake-out --toolchain=/path/to/cmake/toolchain --buck2=/path/to/buck2 --python=/path/to/python3 --coreml --mps --xnnpack"
   exit 0
 }
 
@@ -162,9 +163,11 @@ cmake_build() {
         -DEXECUTORCH_BUILD_COREML=$COREML \
         -DEXECUTORCH_BUILD_MPS=$MPS \
         -DEXECUTORCH_BUILD_XNNPACK=$XNNPACK \
+        -DEXECUTORCH_XNNPACK_SHARED_WORKSPACE=ON \
         -DEXECUTORCH_BUILD_EXTENSION_APPLE=ON \
         -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
         -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+        -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
         -DEXECUTORCH_BUILD_KERNELS_CUSTOM=$CUSTOM \
         -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=$OPTIMIZED \
         -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=$QUANTIZED \
@@ -188,6 +191,7 @@ mkdir -p "$HEADERS_PATH"
 
 "$SOURCE_ROOT_DIR"/build/print_exported_headers.py --buck2="$BUCK2" --targets \
   //extension/module: \
+  //extension/tensor: \
 | rsync -av --files-from=- "$SOURCE_ROOT_DIR" "$HEADERS_PATH/executorch"
 
 cp "$SOURCE_ROOT_DIR/extension/apple/ExecuTorch/Exported/"*.h "$HEADERS_PATH/executorch"
diff --git a/build/build_apple_llm_demo.sh b/build/build_apple_llm_demo.sh
new file mode 100755
index 0000000000..9fe1c1bcd7
--- /dev/null
+++ b/build/build_apple_llm_demo.sh
@@ -0,0 +1,58 @@
+#!/bin/bash
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+set -euo pipefail
+
+ARTIFACTS_DIR_NAME="$1"
+APP_PATH="extension/apple/Benchmark/Benchmark"
+
+xcodebuild build-for-testing \
+  -project "${APP_PATH}.xcodeproj" \
+  -scheme Benchmark \
+  -destination "platform=iOS" \
+  -sdk iphoneos \
+  -allowProvisioningUpdates \
+  DEVELOPMENT_TEAM=78E7V7QP35 \
+  CODE_SIGN_STYLE=Manual \
+  PROVISIONING_PROFILE_SPECIFIER="ExecuTorch Benchmark" \
+  CODE_SIGN_IDENTITY="iPhone Distribution" \
+  CODE_SIGNING_REQUIRED=No \
+  CODE_SIGNING_ALLOWED=No
+
+# The hack to figure out where the xctest package locates
+BUILD_DIR=$(xcodebuild -showBuildSettings -project "$APP_PATH.xcodeproj" -json | jq -r ".[0].buildSettings.BUILD_DIR")
+
+# Prepare the demo app, debug mode here is the default from xcodebuild and match
+# with what we have in the test spec
+MODE="Release"
+PLATFORM="iphoneos"
+pushd "${BUILD_DIR}/${MODE}-${PLATFORM}"
+
+rm -rf Payload && mkdir Payload
+APP_NAME=Benchmark
+
+ls -lah
+cp -r "${APP_NAME}.app" Payload && zip -vr "${APP_NAME}.ipa" Payload
+
+popd
+
+# Prepare the test suite
+pushd "${BUILD_DIR}"
+
+ls -lah
+zip -vr "${APP_NAME}.xctestrun.zip" *.xctestrun
+
+popd
+
+if [[ -n "${ARTIFACTS_DIR_NAME}" ]]; then
+  mkdir -p "${ARTIFACTS_DIR_NAME}"
+  # Prepare all the artifacts to upload
+  cp "${BUILD_DIR}/${MODE}-${PLATFORM}/${APP_NAME}.ipa" "${ARTIFACTS_DIR_NAME}/"
+  cp "${BUILD_DIR}/${APP_NAME}.xctestrun.zip" "${ARTIFACTS_DIR_NAME}/"
+
+  ls -lah "${ARTIFACTS_DIR_NAME}/"
+fi
diff --git a/build/cmake_deps.toml b/build/cmake_deps.toml
index 80abd46409..c0011f175e 100644
--- a/build/cmake_deps.toml
+++ b/build/cmake_deps.toml
@@ -73,6 +73,7 @@ excludes = [
 deps = [
   "executorch",
   "executorch_no_prim_ops",
+  "extension_threadpool",
   "portable_kernels",
 ]
 
@@ -116,6 +117,20 @@ deps = [
   "executorch",
 ]
 
+[targets.optimized_native_cpu_ops_oss]
+buck_targets = [
+  "//configurations:optimized_native_cpu_ops_oss",
+]
+filters = [
+  ".cpp$",
+]
+excludes = [
+]
+deps = [
+  "executorch_no_prim_ops",
+  "executorch",
+  "portable_kernels",
+]
 # ---------------------------------- core end ----------------------------------
 # ---------------------------------- extension start ----------------------------------
 [targets.extension_data_loader]
@@ -158,6 +173,71 @@ deps = [
   "executorch_no_prim_ops",
 ]
 
+[targets.extension_llm_runner]
+buck_targets = [
+  "//extension/llm/runner:runner_lib",
+]
+filters = [
+  ".cpp$",
+]
+deps = [
+  "executorch",
+  "executorch_no_prim_ops",
+  "extension_module",
+  "extension_runner_util",
+]
+
+[targets.extension_tensor]
+buck_targets = [
+  "//extension/tensor:tensor",
+]
+filters = [
+  ".cpp$",
+]
+deps = [
+  "executorch",
+  "executorch_no_prim_ops",
+]
+
+[targets.extension_threadpool]
+buck_targets = [
+  "//extension/threadpool:threadpool",
+]
+filters = [
+  ".cpp$",
+]
+deps = [
+  "executorch",
+  "executorch_no_prim_ops",
+]
+
+[targets.extension_training]
+buck_targets = [
+  "//extension/training/module:training_module",
+  "//extension/training/optimizer:sgd",
+]
+filters = [
+  ".cpp$",
+]
+deps = [
+  "executorch_no_prim_ops",
+]
+
+[targets.train_xor]
+buck_targets = [
+  "//extension/training/examples/XOR:train_xor",
+]
+filters = [
+  ".cpp$",
+]
+excludes = [
+  "^codegen",
+]
+deps = [
+  "executorch",
+  "executorch_no_prim_ops",
+  "portable_kernels",
+]
 # ---------------------------------- extension end ----------------------------------
 # ---------------------------------- binary start ----------------------------------
 
@@ -282,10 +362,13 @@ filters = [
 # ---------------------------------- LLama start ----------------------------------
 [targets.custom_ops]
 buck_targets = [
-  "//examples/models/llama2/custom_ops:custom_ops",
+  "//extension/llm/custom_ops:custom_ops",
 ]
 filters = [
-  ".cpp$",
+  # Second clause is to pick up fht_neon.c/fht_avx.c from FFHT. TODO:
+  # remove filters and patch extract_sources.py's Buck query to fetch
+  # srcs; presumably filters is here to remove .h files.
+  "(.cpp$)|(fht.*\\.c$)",
 ]
 excludes = [
   "^codegen",
@@ -294,6 +377,7 @@ deps = [
   "executorch",
   "executorch_no_prim_ops",
   "optimized_kernels",
+  "extension_threadpool",
   "xnnpack_backend",
 ]
 
@@ -316,5 +400,6 @@ deps = [
   "portable_kernels",
   "quantized_kernels",
   "xnnpack_backend",
+  "optimized_native_cpu_ops_oss",
 ]
 # ---------------------------------- LLama end ----------------------------------
diff --git a/build/constraints/TARGETS b/build/constraints/TARGETS
new file mode 100644
index 0000000000..fd09ad5ebd
--- /dev/null
+++ b/build/constraints/TARGETS
@@ -0,0 +1 @@
+oncall("executorch")
diff --git a/build/executorch-config.cmake b/build/executorch-config.cmake
index 962990d7c8..18b6c7801b 100644
--- a/build/executorch-config.cmake
+++ b/build/executorch-config.cmake
@@ -46,6 +46,9 @@ set(lib_list
     extension_module
     extension_module_static
     extension_runner_util
+    extension_tensor
+    extension_threadpool
+    extension_training
     xnnpack_backend
     XNNPACK
     cpuinfo
diff --git a/build/extract_sources.py b/build/extract_sources.py
index ce8b3de981..5004fe0c50 100755
--- a/build/extract_sources.py
+++ b/build/extract_sources.py
@@ -11,7 +11,7 @@
 import re
 
 from enum import Enum
-from typing import Any, Optional, Sequence
+from typing import Any, List, Optional, Sequence
 
 from buck_util import Buck2Runner
 
@@ -96,7 +96,12 @@ def __init__(
             else:
                 self._config[k] = v
 
-    def get_sources(self, graph: "Graph", runner: Buck2Runner) -> frozenset[str]:
+    def get_sources(
+        self, graph: "Graph", runner: Buck2Runner, buck_args: Optional[List[str]]
+    ) -> frozenset[str]:
+        if buck_args is None:
+            buck_args = []
+
         if self._state == Target._InitState.READY:
             return self._sources
         # Detect cycles.
@@ -113,7 +118,7 @@ def get_sources(self, graph: "Graph", runner: Buck2Runner) -> frozenset[str]:
         )
 
         # Get the complete list of source files that this target depends on.
-        sources: set[str] = set(runner.run(["cquery", query]))
+        sources: set[str] = set(runner.run(["cquery", query] + buck_args))
 
         # Keep entries that match all of the filters.
         filters = [re.compile(p) for p in self._config.get("filters", [])]
@@ -128,7 +133,9 @@ def get_sources(self, graph: "Graph", runner: Buck2Runner) -> frozenset[str]:
         # its deps. Remove entries that are already covered by the transitive
         # set of dependencies.
         for dep in self._config.get("deps", []):
-            sources.difference_update(graph.by_name[dep].get_sources(graph, runner))
+            sources.difference_update(
+                graph.by_name[dep].get_sources(graph, runner, buck_args)
+            )
 
         self._sources = frozenset(sources)
         self._state = Target._InitState.READY
@@ -173,6 +180,9 @@ def parse_args() -> argparse.Namespace:
         metavar="file",
         help="Path to the file to generate.",
     )
+    parser.add_argument(
+        "--target-platforms", help="--target-platforms to pass to buck cquery, if any."
+    )
     return parser.parse_args()
 
 
@@ -199,8 +209,12 @@ def main():
     # Run the queries and get the lists of source files.
     target_to_srcs: dict[str, list[str]] = {}
     runner: Buck2Runner = Buck2Runner(args.buck2)
+    buck_args = []
+    if args.target_platforms:
+        buck_args = ["--target-platforms"]
+        buck_args.append(args.target_platforms)
     for name, target in graph.by_name.items():
-        target_to_srcs[name] = sorted(target.get_sources(graph, runner))
+        target_to_srcs[name] = sorted(target.get_sources(graph, runner, buck_args))
 
     # Generate the requested format.
     output: bytes
diff --git a/build/packaging/post_build_script.sh b/build/packaging/post_build_script.sh
index fd71b18565..c785139b3d 100644
--- a/build/packaging/post_build_script.sh
+++ b/build/packaging/post_build_script.sh
@@ -7,4 +7,8 @@
 
 set -eux
 
-echo "This script is run after building ExecuTorch binaries"
+# This script is run after building ExecuTorch binaries
+
+# Rename pip-out directory, to avoid using shared libraries in pip-out during
+# smoke test.
+mv pip-out BACKUP-pip-out
diff --git a/build/pip_data_bin_init.py.in b/build/pip_data_bin_init.py.in
index 9644c5621d..0c9d60e049 100644
--- a/build/pip_data_bin_init.py.in
+++ b/build/pip_data_bin_init.py.in
@@ -21,7 +21,9 @@ def _find_executable_files_under(dir):
     for filename in os.listdir(dir):
         filepath = os.path.join(dir, filename)
         if os.path.isfile(filepath) and os.access(filepath, os.X_OK):
-            bin_names.append(filename)
+            # Remove .exe suffix on windows.
+            filename_without_ext = os.path.splitext(filename)[0]
+            bin_names.append(filename_without_ext)
     return bin_names
 
 # The list of binaries to create wrapper functions for.
diff --git a/build/test_ios_ci.sh b/build/test_ios_ci.sh
index 5fa6ef7d24..50c6448d4b 100755
--- a/build/test_ios_ci.sh
+++ b/build/test_ios_ci.sh
@@ -11,6 +11,9 @@ APP_PATH="examples/demo-apps/apple_ios/ExecuTorchDemo/ExecuTorchDemo"
 MODEL_NAME="mv3"
 SIMULATOR_NAME="executorch"
 
+# If this is set, copy the build artifacts to this directory
+ARTIFACTS_DIR_NAME="$1"
+
 finish() {
   EXIT_STATUS=$?
   if xcrun simctl list | grep -q "$SIMULATOR_NAME"; then
@@ -64,3 +67,49 @@ xcodebuild test \
   -project "$APP_PATH.xcodeproj" \
   -scheme MobileNetClassifierTest \
   -destination name="$SIMULATOR_NAME"
+
+# NB: https://docs.aws.amazon.com/devicefarm/latest/developerguide/test-types-ios-xctest-ui.html
+say "Package The Test Suite"
+
+xcodebuild build-for-testing \
+  -project "$APP_PATH.xcodeproj" \
+  -scheme MobileNetClassifierTest \
+  -destination platform="iOS" \
+  -allowProvisioningUpdates \
+  DEVELOPMENT_TEAM=78E7V7QP35 \
+  CODE_SIGN_STYLE=Manual \
+  PROVISIONING_PROFILE_SPECIFIER=ExecuTorchDemo \
+  CODE_SIGN_IDENTITY="iPhone Distribution"
+
+# The hack to figure out where the xctest package locates
+BUILD_DIR=$(xcodebuild -showBuildSettings -project "$APP_PATH.xcodeproj" -json | jq -r ".[0].buildSettings.BUILD_DIR")
+
+# Prepare the demo app
+MODE="Debug"
+PLATFORM="iphoneos"
+pushd "${BUILD_DIR}/${MODE}-${PLATFORM}"
+
+rm -rf Payload && mkdir Payload
+MOCK_APP_NAME=ExecuTorchDemo
+
+ls -lah
+cp -r "${MOCK_APP_NAME}.app" Payload && zip -vr "${MOCK_APP_NAME}.ipa" Payload
+
+popd
+
+# Prepare the test suite
+pushd "${BUILD_DIR}"
+
+ls -lah
+zip -vr "${MOCK_APP_NAME}.xctestrun.zip" *.xctestrun
+
+popd
+
+if [[ -n "${ARTIFACTS_DIR_NAME}" ]]; then
+  mkdir -p "${ARTIFACTS_DIR_NAME}"
+  # Prepare all the artifacts to upload
+  cp "${BUILD_DIR}/${MODE}-${PLATFORM}/${MOCK_APP_NAME}.ipa" "${ARTIFACTS_DIR_NAME}/"
+  cp "${BUILD_DIR}/${MOCK_APP_NAME}.xctestrun.zip" "${ARTIFACTS_DIR_NAME}/"
+
+  ls -lah "${ARTIFACTS_DIR_NAME}/"
+fi
diff --git a/codegen/templates/RegisterCodegenUnboxedKernels.cpp b/codegen/templates/RegisterCodegenUnboxedKernels.cpp
index a7790be7fe..3076cde1a9 100644
--- a/codegen/templates/RegisterCodegenUnboxedKernels.cpp
+++ b/codegen/templates/RegisterCodegenUnboxedKernels.cpp
@@ -8,6 +8,7 @@
 
 #include <executorch/runtime/core/evalue.h>
 #include <executorch/runtime/core/exec_aten/exec_aten.h>
+#include <executorch/runtime/core/span.h>
 #include <executorch/runtime/kernel/operator_registry.h>
 #include <executorch/runtime/platform/profiler.h>
 #include "${fn_header}" // Generated Function import headers
@@ -21,7 +22,8 @@
 // JIT op registry instead of c10 dispatcher. JIT op registry only takes boxed
 // kernels, so we are calling unboxing functions in UnboxingFunctions.h to cast
 // arguments into C++ types (instead of IValue) and delegate to unboxed kernels.
-using KernelArrayRef = ::torch::executor::ArrayRef<::torch::executor::Kernel>;
+using KernelSpan =
+    ::executorch::runtime::Span<const ::executorch::runtime::Kernel>;
 namespace torch {
 namespace executor {
 namespace function {
@@ -31,15 +33,15 @@ static Kernel kernels_to_register[] = {
     ${unboxed_kernels} // Generated kernels
 };
 
-// Explicitly convert to ArrayRef, so that the API can take an empty C array of
+// Explicitly convert to Span, so that the API can take an empty C array of
 // Kernels.
-static KernelArrayRef kernel_array_ref(
+static KernelSpan kernel_span(
     kernels_to_register,
     kernels_to_register + sizeof(kernels_to_register) / sizeof(Kernel));
 
 // Return value not used. Keep the static variable assignment to register
 // kernels in static initialization time.
-static auto success_with_kernel_reg = register_kernels(kernel_array_ref);
+static auto success_with_kernel_reg = register_kernels(kernel_span);
 } // namespace
 } // namespace function
 } // namespace executor
diff --git a/codegen/templates/RegisterKernels.cpp b/codegen/templates/RegisterKernels.cpp
index 2313a30a30..91eac20022 100644
--- a/codegen/templates/RegisterKernels.cpp
+++ b/codegen/templates/RegisterKernels.cpp
@@ -19,7 +19,8 @@ Error register_all_kernels() {
   Kernel kernels_to_register[] = {
       ${unboxed_kernels} // Generated kernels
   };
-  Error success_with_kernel_reg = register_kernels(kernels_to_register);
+  Error success_with_kernel_reg =
+      ::executorch::runtime::register_kernels({kernels_to_register});
   if (success_with_kernel_reg != Error::Ok) {
     ET_LOG(Error, "Failed register all kernels");
     return success_with_kernel_reg;
diff --git a/codegen/tools/gen_oplist.py b/codegen/tools/gen_oplist.py
index f21fb8dc6b..fbb191a6a8 100644
--- a/codegen/tools/gen_oplist.py
+++ b/codegen/tools/gen_oplist.py
@@ -230,7 +230,7 @@ def gen_oplist(
     if model_file_path:
         assert os.path.isfile(
             model_file_path
-        ), "The value for --model_file_path needs to be a valid file."
+        ), f"The value for --model_file_path needs to be a valid file, got {model_file_path}"
         op_set.update(_get_operators(model_file_path))
         source_name = model_file_path
         et_kernel_metadata = merge_et_kernel_metadata(
@@ -239,7 +239,7 @@ def gen_oplist(
     if ops_schema_yaml_path:
         assert os.path.isfile(
             ops_schema_yaml_path
-        ), "The value for --ops_schema_yaml_path needs to be a valid file."
+        ), f"The value for --ops_schema_yaml_path needs to be a valid file, got {ops_schema_yaml_path}"
         et_kernel_metadata = merge_et_kernel_metadata(
             et_kernel_metadata,
             _get_et_kernel_metadata_from_ops_yaml(ops_schema_yaml_path),
@@ -300,14 +300,33 @@ def main(args: List[Any]) -> None:
     )
     options = parser.parse_args(args)
 
-    gen_oplist(
-        output_path=options.output_path,
-        model_file_path=options.model_file_path,
-        ops_schema_yaml_path=options.ops_schema_yaml_path,
-        root_ops=options.root_ops,
-        ops_dict=options.ops_dict,
-        include_all_operators=options.include_all_operators,
-    )
+    try:
+        gen_oplist(
+            output_path=options.output_path,
+            model_file_path=options.model_file_path,
+            ops_schema_yaml_path=options.ops_schema_yaml_path,
+            root_ops=options.root_ops,
+            ops_dict=options.ops_dict,
+            include_all_operators=options.include_all_operators,
+        )
+    except Exception as e:
+        command = ["python codegen/tools/gen_oplist.py"]
+        if options.model_file_path:
+            command.append(f"--model_file_path {options.model_file_path}")
+        if options.ops_schema_yaml_path:
+            command.append(f"--ops_schema_yaml_path {options.ops_schema_yaml_path}")
+        if options.root_ops:
+            command.append(f"--root_ops {options.root_ops}")
+        if options.ops_dict:
+            command.append(f"--ops_dict {options.ops_dict}")
+        if options.include_all_operators:
+            command.append("--include-all-operators")
+        repro_command = " ".join(command)
+        raise RuntimeError(
+            f"""Failed to generate selected_operators.yaml. Repro command:
+            {repro_command}
+            """
+        ) from e
 
 
 if __name__ == "__main__":
diff --git a/codegen/tools/test/test_gen_oplist.py b/codegen/tools/test/test_gen_oplist.py
index d455ddb689..bd1d008248 100644
--- a/codegen/tools/test/test_gen_oplist.py
+++ b/codegen/tools/test/test_gen_oplist.py
@@ -42,7 +42,7 @@ def test_gen_op_list_with_wrong_path(
         mock_get_operators: NonCallableMock,
     ) -> None:
         args = ["--output_path=wrong_path", "--model_file_path=path2"]
-        with self.assertRaises(AssertionError):
+        with self.assertRaises(RuntimeError):
             gen_oplist.main(args)
 
     @patch("executorch.codegen.tools.gen_oplist._get_kernel_metadata_for_model")
diff --git a/configurations/targets.bzl b/configurations/targets.bzl
index dc88c13744..6a5341c290 100644
--- a/configurations/targets.bzl
+++ b/configurations/targets.bzl
@@ -20,7 +20,7 @@ def define_common_targets():
     runtime.cxx_library(
         name = "executor_cpu_optimized",
         exported_deps = [
-            "//executorch/backends/xnnpack/threadpool:threadpool",
+            "//executorch/extension/threadpool:threadpool",
         ] + get_all_cpu_backend_targets(),
         visibility = [
             "//executorch/test/...",
@@ -28,7 +28,7 @@ def define_common_targets():
         ],
     )
 
-    # Add a commong configuration of cpu optimized operators. This adds a bit of confusion
+    # Add a common configuration of cpu optimized operators. This adds a bit of confusion
     # with the above executorch_cpu_optimized target. Generally it would make sense
     # to just add optimized operators to that target but because executorch_cpu_optimized
     # might be used elsewhere, I dont want to include ops in that target and find out
@@ -50,3 +50,21 @@ def define_common_targets():
             "@EXECUTORCH_CLIENTS",
         ],
     )
+
+    # TODO(T183193812): delete this target after optimized-oss.yaml is gone
+    executorch_generated_lib(
+        name = "optimized_native_cpu_ops_oss",
+        deps = [
+            "//executorch/kernels/optimized:optimized_operators",
+            "//executorch/kernels/optimized:optimized_oplist",
+            "//executorch/kernels/portable:executorch_aten_ops",
+            "//executorch/kernels/portable:operators",
+        ],
+        functions_yaml_target = "//executorch/kernels/optimized:optimized-oss.yaml",
+        fallback_yaml_target = "//executorch/kernels/portable:functions.yaml",
+        define_static_targets = True,
+        visibility = [
+            "//executorch/examples/...",
+            "@EXECUTORCH_CLIENTS",
+        ],
+    )
diff --git a/devtools/CMakeLists.txt b/devtools/CMakeLists.txt
new file mode 100644
index 0000000000..776d421a8d
--- /dev/null
+++ b/devtools/CMakeLists.txt
@@ -0,0 +1,220 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# Please this file formatted by running:
+# ~~~
+# cmake-format -i CMakeLists.txt
+# ~~~
+
+cmake_minimum_required(VERSION 3.19)
+
+set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
+
+if(NOT CMAKE_CXX_STANDARD)
+  set(CMAKE_CXX_STANDARD 17)
+endif()
+
+if(NOT FLATCC_EXECUTABLE)
+  set(FLATCC_EXECUTABLE flatcc)
+endif()
+
+# Source root directory for executorch.
+if(NOT EXECUTORCH_ROOT)
+  set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/..)
+endif()
+
+include(${EXECUTORCH_ROOT}/build/Utils.cmake)
+
+if(NOT PYTHON_EXECUTABLE)
+  resolve_python_executable()
+endif()
+
+if(NOT FLATC_EXECUTABLE)
+  set(FLATC_EXECUTABLE flatc)
+endif()
+
+# Paths to headers generated from the .fbs files. set(_etdump_schemas
+# etdump_schema_flatcc.fbs scalar_type.fbs)
+
+set(_etdump_schema_names "etdump_schema_flatcc.fbs" "scalar_type.fbs")
+set(_bundled_input_schema_names "bundled_program_schema.fbs" "scalar_type.fbs")
+
+foreach(schema_file ${_etdump_schema_names})
+  list(APPEND _etdump_schema__srcs
+       "${CMAKE_CURRENT_SOURCE_DIR}/etdump/${schema_file}"
+  )
+endforeach()
+
+foreach(schema_file ${_bundled_input_schema_names})
+  list(APPEND _bundled_program_schema__srcs
+       "${CMAKE_CURRENT_SOURCE_DIR}/bundled_program/schema/${schema_file}"
+  )
+endforeach()
+
+set(FLATCC_TEST
+    OFF
+    CACHE BOOL ""
+)
+set(FLATCC_REFLECTION
+    OFF
+    CACHE BOOL ""
+)
+set(FLATCC_DEBUG_CLANG_SANITIZE
+    OFF
+    CACHE BOOL ""
+)
+set(_flatcc_source_dir ${CMAKE_CURRENT_SOURCE_DIR}/../third-party/flatcc)
+add_subdirectory(${_flatcc_source_dir} ${CMAKE_BINARY_DIR}/third-party/flatcc)
+
+# Fix for "relocation R_X86_64_32 against `.rodata' can not be used when making
+# a shared object; recompile with -fPIC" when building on some x86 linux
+# systems.
+set_property(TARGET flatccrt PROPERTY POSITION_INDEPENDENT_CODE ON)
+
+# Assume we are cross-compiling and the CMAKE_TOOLCHAIN_FILE is set
+include(ExternalProject)
+
+# The include directory that will contain the generated schema headers.
+set(_program_schema__include_dir "${CMAKE_BINARY_DIR}/devtools/include")
+set(_bundled_schema__include_dir "${CMAKE_BINARY_DIR}/devtools/bundled_program")
+
+# TODO(dbort): Only enable this when cross-compiling. It can cause build race
+# conditions (libflatcc.a errors) when enabled.
+option(EXECUTORCH_SEPARATE_FLATCC_HOST_PROJECT
+       "Whether to build the flatcc commandline tool as a separate project" ON
+)
+
+if(EXECUTORCH_SEPARATE_FLATCC_HOST_PROJECT)
+  # Add the host project. We build this separately so that we can generate
+  # headers on the host during the build, even if we're cross-compiling the
+  # flatcc runtime to a different architecture.
+  execute_process(
+    COMMAND
+      ${CMAKE_COMMAND} ${_flatcc_source_dir} -DFLATCC_TEST=OFF
+      -DFLATCC_REFLECTION=OFF
+      # See above comment about POSITION_INDEPENDENT_CODE.
+      -DCMAKE_POSITION_INDEPENDENT_CODE=ON -B${CMAKE_BINARY_DIR}/_host_build
+  )
+  execute_process(
+    COMMAND ${CMAKE_COMMAND} --build ${CMAKE_BINARY_DIR}/_host_build
+  )
+  set(_etdump_schema_gen_dep)
+  # TODO(dbort): flatcc installs its files directly in its source directory
+  # instead of under CMAKE_BINARY_DIR, and it has no options to avoid doing
+  # this. We build flatcc twice in the executorch build: once to get the
+  # `flatcc` host commandline tool, and once to get the (potentially
+  # cross-compiled) target runtime library. The host build will put its outputs
+  # in the source tree, making the cross-compiling target build think that the
+  # outputs have already been built. It will then try to link against the
+  # host-architecture libraries, failing when cross-compiling. To work around
+  # this, delete the host outputs after running this command (which only runs
+  # when setting up the cmake files, not when actually building). This leaves
+  # room for the target build to put its own files in the source tree. We should
+  # try to remove this hack, ideally by submitting an upstream PR that adds an
+  # option to change the installation location.
+  set(_etdump_schema_cleanup_paths ${_flatcc_source_dir}/bin/*
+                                   ${_flatcc_source_dir}/lib/*
+  )
+else()
+  # If we're not cross-compiling, we can just use the plain commandline target.
+  set(_etdump_schema_gen_dep flatcc_cli)
+  set(_etdump_schema_cleanup_paths "")
+endif()
+
+set(_etdump_schema__outputs)
+foreach(fbs_file ${_etdump_schema_names})
+  string(REGEX REPLACE "[.]fbs$" "_reader.h" generated "${fbs_file}")
+  list(APPEND _etdump_schema__outputs
+       "${_program_schema__include_dir}/executorch/devtools/etdump/${generated}"
+  )
+  string(REGEX REPLACE "[.]fbs$" "_builder.h" generated "${fbs_file}")
+  list(APPEND _etdump_schema__outputs
+       "${_program_schema__include_dir}/executorch/devtools/etdump/${generated}"
+  )
+endforeach()
+
+# lint_cmake: -linelength
+set(_bundled_program_schema__outputs)
+foreach(fbs_file ${_bundled_input_schema_names})
+  string(REGEX REPLACE "[.]fbs$" "_generated.h" generated "${fbs_file}")
+  list(
+    APPEND
+    _bundled_program_schema__outputs
+    "${_bundled_schema__include_dir}/executorch/devtools/bundled_program/schema/${generated}"
+  )
+endforeach()
+
+add_library(etdump_schema INTERFACE ${_etdump_schema__outputs})
+add_library(
+  bundled_program_schema INTERFACE ${_bundled_program_schema__outputs}
+)
+
+file(MAKE_DIRECTORY ${_program_schema__include_dir}/executorch/devtools/etdump)
+file(MAKE_DIRECTORY
+     ${_program_schema__include_dir}/executorch/devtools/bundled_program
+)
+
+add_custom_command(
+  OUTPUT ${_etdump_schema__outputs}
+  COMMAND
+    # Note that the flatcc project actually writes its outputs into the source
+    # tree instead of under the binary directory, and there's no way to change
+    # that behavior.
+    ${_flatcc_source_dir}/bin/flatcc -cwr -o
+    ${_program_schema__include_dir}/executorch/devtools/etdump
+    ${_etdump_schema__srcs}
+  COMMAND rm -f ${_etdump_schema_cleanup_paths}
+  DEPENDS ${_etdump_schema_gen_dep}
+  COMMENT "Generating etdump headers"
+)
+
+add_library(
+  etdump ${CMAKE_CURRENT_SOURCE_DIR}/etdump/etdump_flatcc.cpp
+         ${CMAKE_CURRENT_SOURCE_DIR}/etdump/emitter.cpp
+)
+
+target_link_libraries(
+  etdump
+  PUBLIC etdump_schema flatccrt
+  PRIVATE executorch
+)
+
+add_custom_command(
+  OUTPUT ${_bundled_program_schema__outputs}
+  COMMAND
+    ${FLATC_EXECUTABLE} --cpp --cpp-std c++11 --gen-mutable --scoped-enums -o
+    "${_bundled_schema__include_dir}/executorch/devtools/bundled_program/schema"
+    ${_bundled_program_schema__srcs}
+  WORKING_DIRECTORY ${CMAKE_BINARY_DIR}/devtools
+  DEPENDS ${FLATC_EXECUTABLE} ${_bundled_program_schema__srcs}
+  COMMENT "Generating bundled_program headers"
+  VERBATIM
+)
+
+# add_library(bundled_program INTERFACE ${_bundled_program_schema__outputs})
+add_library(
+  bundled_program
+  ${CMAKE_CURRENT_SOURCE_DIR}/bundled_program/bundled_program.cpp
+)
+target_link_libraries(bundled_program executorch bundled_program_schema)
+
+set_target_properties(bundled_program PROPERTIES LINKER_LANGUAGE CXX)
+target_include_directories(
+  bundled_program PUBLIC ${_bundled_schema__include_dir}
+                         ${EXECUTORCH_ROOT}/third-party/flatbuffers/include
+)
+
+target_include_directories(
+  etdump PUBLIC ${_program_schema__include_dir} ${_flatcc_source_dir}/include
+)
+
+# Install libraries
+install(
+  TARGETS bundled_program etdump flatccrt
+  DESTINATION ${CMAKE_BINARY_DIR}/lib
+  INCLUDES
+  DESTINATION ${_common_include_directories}
+)
diff --git a/devtools/TARGETS b/devtools/TARGETS
new file mode 100644
index 0000000000..06964b8387
--- /dev/null
+++ b/devtools/TARGETS
@@ -0,0 +1,13 @@
+load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
+
+oncall("executorch")
+
+python_library(
+    name = "lib",
+    srcs = ["__init__.py"],
+    deps = [
+        "//executorch/devtools/bundled_program:core",
+        "//executorch/devtools/etrecord:etrecord",
+        "//executorch/devtools/inspector:lib",
+    ],
+)
diff --git a/devtools/__init__.py b/devtools/__init__.py
new file mode 100644
index 0000000000..821d75901f
--- /dev/null
+++ b/devtools/__init__.py
@@ -0,0 +1,19 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import executorch.devtools.inspector as inspector
+from executorch.devtools.bundled_program.core import BundledProgram
+from executorch.devtools.etrecord import ETRecord, generate_etrecord, parse_etrecord
+from executorch.devtools.inspector import Inspector
+
+__all__ = [
+    "ETRecord",
+    "Inspector",
+    "generate_etrecord",
+    "parse_etrecord",
+    "inspector",
+    "BundledProgram",
+]
diff --git a/devtools/backend_debug/TARGETS b/devtools/backend_debug/TARGETS
new file mode 100644
index 0000000000..95529192a3
--- /dev/null
+++ b/devtools/backend_debug/TARGETS
@@ -0,0 +1,23 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+oncall("executorch")
+
+runtime.python_library(
+    name = "delegation_info",
+    srcs = [
+        "__init__.py",
+        "delegation_info.py",
+    ],
+    visibility = [
+        "//executorch/...",
+        "//executorch/exir/backend/...",
+        "//executorch/test/...",
+        "@EXECUTORCH_CLIENTS",
+    ],
+    deps = [
+        "fbsource//third-party/pypi/pandas:pandas",
+        "//caffe2:torch",
+        "//executorch/exir:lowered_backend_module",
+        "//executorch/exir/backend/canonical_partitioners:duplicate_constant_node_pass",
+    ],
+)
diff --git a/devtools/backend_debug/__init__.py b/devtools/backend_debug/__init__.py
new file mode 100644
index 0000000000..b457b7d11d
--- /dev/null
+++ b/devtools/backend_debug/__init__.py
@@ -0,0 +1,12 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+from executorch.devtools.backend_debug.delegation_info import (
+    DelegationBreakdown,
+    get_delegation_info,
+)
+
+__all__ = ["DelegationBreakdown", "get_delegation_info"]
diff --git a/devtools/backend_debug/delegation_info.py b/devtools/backend_debug/delegation_info.py
new file mode 100644
index 0000000000..b237d162f7
--- /dev/null
+++ b/devtools/backend_debug/delegation_info.py
@@ -0,0 +1,176 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import re
+from collections import defaultdict
+from dataclasses import asdict, dataclass
+from typing import Dict
+
+import pandas as pd
+import torch
+
+
+# Column names of the DataFrame returned by DelegationInfo.get_operator_delegation_dataframe()
+# which describes the summarized delegation information grouped by each operator type
+_OCCURRENCES_IN_DELEGATED_GRAPHS = "occurrences_in_delegated_graphs"
+_OCCURRENCES_IN_NON_DELEGATED_GRAPHS = "occurrences_in_non_delegated_graphs"
+
+
+@dataclass
+class DelegationBreakdown:
+    """
+    DelegationBreakdown contains the number of delegated and non-delegated nodes
+    of the operator type op_type.
+
+    Args:
+        delegated: The number of delegated nodes.
+        non_delegated: The number of non-delegated nodes.
+    """
+
+    op_type: str = ""
+    delegated: int = 0
+    non_delegated: int = 0
+
+
+@dataclass
+class DelegationInfo:
+    """
+    DelegationInfo contains information of a delegated graph module.
+
+    Args:
+        num_delegated_subgraphs: The number of delegated subgraphs.
+        num_delegated_nodes: The number of delegated nodes.
+        num_non_delegated_nodes: The number of non-delegated nodes.
+        delegation_by_operator: A dictionary of operator type to DelegationBreakdown.
+    """
+
+    num_delegated_subgraphs: int
+    num_delegated_nodes: int
+    num_non_delegated_nodes: int
+    delegation_by_operator: Dict[str, DelegationBreakdown]
+
+    def get_summary(self) -> str:
+        """
+        Get a summary of the delegation information in string format.
+
+        Args:
+            None
+
+        Returns:
+            A string containing information of some class attributes for easy print-out.
+        """
+
+        # Assemble and return the summary string
+        summary_str = f"Total delegated subgraphs: {self.num_delegated_subgraphs}\n"
+        summary_str += f"Number of delegated nodes: {self.num_delegated_nodes}\n"
+        summary_str += (
+            f"Number of non-delegated nodes: {self.num_non_delegated_nodes}\n"
+        )
+        return summary_str
+
+    def get_operator_delegation_dataframe(self) -> pd.DataFrame:
+        """
+        Get the delegation information grouped by operator type in a pandas DataFrame.
+
+        Args:
+            None
+
+        Returns:
+            Returns a pandas DataFrame containing the following columns:
+            - op_type: The operator type, with the last row being "Total".
+            - occurrences_in_delegated_graphs: The number of occurrences of the op_type in delegated subgraphs.
+            - occurrences_in_non_delegated_graphs: The number of occurrences of the op_type not in delegated subgraphs.
+            With the last row being the total number of delegated and non-delegated occurrences of each op_type.
+        """
+
+        # Convert the dict to a dataframe
+        list_of_dicts = [
+            asdict(breakdown) for breakdown in self.delegation_by_operator.values()
+        ]
+        df = pd.DataFrame(list_of_dicts)
+        # Rename columns for better understandability
+        df = df.rename(
+            columns={
+                "delegated": _OCCURRENCES_IN_DELEGATED_GRAPHS,
+                "non_delegated": _OCCURRENCES_IN_NON_DELEGATED_GRAPHS,
+            }
+        )
+        df = df.sort_values(by="op_type", ignore_index=True)
+
+        # Add a Total row at the bottom
+        total_delegated_nodes = df[_OCCURRENCES_IN_DELEGATED_GRAPHS].sum()
+        total_non_delegated_nodes = df[_OCCURRENCES_IN_NON_DELEGATED_GRAPHS].sum()
+        df.loc[len(df)] = ["Total", total_delegated_nodes, total_non_delegated_nodes]
+
+        return df
+
+
+def get_delegation_info(
+    graph_module: torch.fx.GraphModule,
+) -> DelegationInfo:
+    """
+    Util function to get the delegation information of the given graph module.
+
+    Args:
+        graph_module: The lowered graph module to get the delegation information from.
+
+    Returns:
+        Return a DelegationInfo object containing the delegation information.
+    """
+
+    def _get_op_type(node_name: str) -> str:
+        # node_name is in format <op_type> or <op_type>_x in which x is an integer suffix.
+        return re.sub(r"_[\d]+$", "", node_name)
+
+    op_occurrences_dict = defaultdict(lambda: DelegationBreakdown())
+
+    def _insert_op_occurrences_dict(node_name: str, delegated: bool) -> None:
+        op_type = _get_op_type(node_name)
+        op_occurrences_dict[op_type].op_type = op_type
+        if delegated:
+            op_occurrences_dict[op_type].delegated += 1
+        else:
+            op_occurrences_dict[op_type].non_delegated += 1
+
+    delegated_subgraph_counter = 0
+
+    lowered_module_dict = {
+        node.name: getattr(graph_module, node.name)
+        for node in graph_module.graph.nodes
+        if node.op == "get_attr" and node.name.startswith("lowered_module_")
+    }
+
+    for node in graph_module.graph.nodes:
+        if (
+            node.op == "call_function"
+            and _get_op_type(node.name) != "executorch_call_delegate"
+        ):
+            # Non-delegated node
+            _insert_op_occurrences_dict(node_name=node.name, delegated=False)
+        # Check if the node is a lowered module
+        if node.op == "get_attr" and node.name.startswith("lowered_module_"):
+            lowered_module = lowered_module_dict[node.name]
+            delegated_subgraph_counter += 1
+            for node_in_lowered_module in lowered_module.original_module.graph.nodes:
+                if node_in_lowered_module.op == "call_function":
+                    # Delegated node
+                    _insert_op_occurrences_dict(
+                        node_name=node_in_lowered_module.name, delegated=True
+                    )
+
+    # Calculate the total number of delegated and non-delegated nodes
+    num_delegated_nodes = 0
+    num_non_delegated_nodes = 0
+    for value in op_occurrences_dict.values():
+        num_delegated_nodes += value.delegated
+        num_non_delegated_nodes += value.non_delegated
+
+    return DelegationInfo(
+        num_delegated_nodes=num_delegated_nodes,
+        num_non_delegated_nodes=num_non_delegated_nodes,
+        num_delegated_subgraphs=delegated_subgraph_counter,
+        delegation_by_operator=op_occurrences_dict,
+    )
diff --git a/devtools/backend_debug/tests/TARGETS b/devtools/backend_debug/tests/TARGETS
new file mode 100644
index 0000000000..ae234df8ce
--- /dev/null
+++ b/devtools/backend_debug/tests/TARGETS
@@ -0,0 +1,17 @@
+load("@fbcode_macros//build_defs:python_unittest.bzl", "python_unittest")
+
+oncall("executorch")
+
+python_unittest(
+    name = "test_delegation_info",
+    srcs = [
+        "test_delegation_info.py",
+    ],
+    deps = [
+        "fbsource//third-party/pypi/pandas:pandas",
+        "//caffe2:torch",
+        "//executorch/devtools/backend_debug:delegation_info",
+        "//executorch/exir:lib",
+        "//executorch/exir/backend/test:op_partitioner_demo",
+    ],
+)
diff --git a/devtools/backend_debug/tests/test_delegation_info.py b/devtools/backend_debug/tests/test_delegation_info.py
new file mode 100644
index 0000000000..6ff5169094
--- /dev/null
+++ b/devtools/backend_debug/tests/test_delegation_info.py
@@ -0,0 +1,79 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import unittest
+
+import pandas as pd
+
+import torch
+from executorch.devtools.backend_debug import DelegationBreakdown, get_delegation_info
+from executorch.exir import to_edge
+from executorch.exir.backend.test.op_partitioner_demo import AddMulPartitionerDemo
+from pandas.testing import assert_frame_equal
+
+
+class TestUtils(unittest.TestCase):
+    def test_get_delegation_info(self):
+        class Model(torch.nn.Module):
+            def __init__(self):
+                super().__init__()
+
+            def forward(self, a, x, b):
+                y = torch.mm(a, x)
+                z = y + b
+                a = z - a
+                y = torch.mm(a, x)
+                z = y + b
+                return z
+
+        m = Model()
+        inputs = (torch.randn(2, 2), torch.randn(2, 2), torch.randn(2, 2))
+        edge = to_edge(torch.export.export(m, inputs)).to_backend(
+            AddMulPartitionerDemo()
+        )
+        delegation_info = get_delegation_info(edge.exported_program().graph_module)
+
+        self.assertEqual(delegation_info.num_delegated_subgraphs, 2)
+        self.assertEqual(delegation_info.num_delegated_nodes, 4)
+        self.assertEqual(delegation_info.num_non_delegated_nodes, 3)
+        expected_delegation_by_op_dict = {
+            "aten_add_tensor": DelegationBreakdown(
+                op_type="aten_add_tensor", delegated=2, non_delegated=0
+            ),
+            "aten_mm_default": DelegationBreakdown(
+                op_type="aten_mm_default", delegated=2, non_delegated=0
+            ),
+            "aten_sub_tensor": DelegationBreakdown(
+                op_type="aten_sub_tensor", delegated=0, non_delegated=1
+            ),
+            "getitem": DelegationBreakdown(
+                op_type="getitem", delegated=0, non_delegated=2
+            ),
+        }
+        self.assertEqual(
+            delegation_info.delegation_by_operator, expected_delegation_by_op_dict
+        )
+
+        self.assertIn(
+            "Total delegated subgraphs",
+            delegation_info.get_summary(),
+        )
+
+        df = delegation_info.get_operator_delegation_dataframe()
+        expected_df = pd.DataFrame(
+            {
+                "op_type": [
+                    "aten_add_tensor",
+                    "aten_mm_default",
+                    "aten_sub_tensor",
+                    "getitem",
+                    "Total",
+                ],
+                "occurrences_in_delegated_graphs": [2, 2, 0, 0, 4],
+                "occurrences_in_non_delegated_graphs": [0, 0, 1, 2, 3],
+            }
+        )
+        assert_frame_equal(expected_df, df)
diff --git a/devtools/bundled_program/TARGETS b/devtools/bundled_program/TARGETS
new file mode 100644
index 0000000000..27560f7087
--- /dev/null
+++ b/devtools/bundled_program/TARGETS
@@ -0,0 +1,51 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+load(":targets.bzl", "define_common_targets")
+
+oncall("executorch")
+
+define_common_targets()
+
+runtime.python_library(
+    name = "core",
+    srcs = [
+        "core.py",
+    ],
+    visibility = [
+        "//executorch/...",
+        "@EXECUTORCH_CLIENTS",
+    ],
+    deps = [
+        ":config",
+        ":version",
+        "//caffe2:torch",
+        "//executorch/devtools/bundled_program/schema:bundled_program_schema_py",
+        "//executorch/exir:schema",
+        "//executorch/exir:tensor",
+        "//executorch/exir/_serialize:lib",
+    ],
+)
+
+runtime.python_library(
+    name = "config",
+    srcs = [
+        "config.py",
+    ],
+    visibility = [
+        "//executorch/...",
+        "@EXECUTORCH_CLIENTS",
+    ],
+    deps = [
+        "fbsource//third-party/pypi/typing-extensions:typing-extensions",
+        "//caffe2:torch",
+    ],
+)
+
+runtime.python_library(
+    name = "version",
+    srcs = [
+        "version.py",
+    ],
+    visibility = [
+        "//executorch/devtools/...",
+    ],
+)
diff --git a/sdk/bundled_program/bundled_program.cpp b/devtools/bundled_program/bundled_program.cpp
similarity index 91%
rename from sdk/bundled_program/bundled_program.cpp
rename to devtools/bundled_program/bundled_program.cpp
index 39e6ea960e..54f84f6fef 100644
--- a/sdk/bundled_program/bundled_program.cpp
+++ b/devtools/bundled_program/bundled_program.cpp
@@ -6,7 +6,7 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-#include <executorch/sdk/bundled_program/bundled_program.h>
+#include <executorch/devtools/bundled_program/bundled_program.h>
 
 #include <cmath>
 #include <cstddef>
@@ -16,20 +16,28 @@
 #include <ATen/ATen.h>
 #endif // USE_ATEN_LIB
 
+#include <executorch/devtools/bundled_program/schema/bundled_program_schema_generated.h>
 #include <executorch/runtime/core/event_tracer_hooks.h>
 #include <executorch/runtime/core/exec_aten/util/dim_order_util.h>
 #include <executorch/runtime/core/memory_allocator.h>
 #include <executorch/runtime/executor/method.h>
 #include <executorch/runtime/platform/log.h>
-#include <executorch/sdk/bundled_program/schema/bundled_program_schema_generated.h>
 
-namespace torch {
-namespace executor {
+using exec_aten::ArrayRef;
+using exec_aten::Half;
+using exec_aten::ScalarType;
+using exec_aten::Tensor;
+using ::executorch::runtime::Error;
+using ::executorch::runtime::EValue;
+using ::executorch::runtime::Method;
+using ::executorch::runtime::Result;
+
+namespace executorch {
 namespace bundled_program {
 
 namespace {
 
-#define kMaxDim 16
+constexpr size_t kMaxDim = 16;
 
 #ifdef USE_ATEN_LIB
 
@@ -53,6 +61,7 @@ at::Tensor tensor_like(bundled_program_flatbuffer::Tensor* bundled_tensor) {
 }
 
 #else // !USE_ATEN_LIB
+using torch::executor::TensorImpl;
 // Create a tensorimpl with same content using bundled tensor
 TensorImpl impl_like(bundled_program_flatbuffer::Tensor* bundled_tensor) {
   ScalarType scalar_type =
@@ -234,9 +243,9 @@ get_method_test_suite(
 } // namespace
 
 // Load testset_idx-th bundled data into the Method
-__ET_NODISCARD Error LoadBundledInput(
+ET_NODISCARD Error load_bundled_input(
     Method& method,
-    serialized_bundled_program* bundled_program_ptr,
+    SerializedBundledProgram* bundled_program_ptr,
     size_t testset_idx) {
   ET_CHECK_OR_RETURN_ERROR(
       bundled_program_flatbuffer::BundledProgramBufferHasIdentifier(
@@ -319,19 +328,19 @@ __ET_NODISCARD Error LoadBundledInput(
     ET_CHECK_OR_RETURN_ERROR(
         status == Error::Ok,
         NotSupported,
-        "set_input failed during load bundled inputs with status %" PRIu32,
-        static_cast<error_code_t>(status));
+        "set_input failed during load bundled inputs with status 0%" PRIx32,
+        static_cast<uint32_t>(status));
   }
 
-  internal::event_tracer_set_bundled_input_index(
+  ::executorch::runtime::internal::event_tracer_set_bundled_input_index(
       method.get_event_tracer(), testset_idx);
 
   return Error::Ok;
 }
 
-__ET_NODISCARD Error VerifyResultWithBundledExpectedOutput(
+ET_NODISCARD Error verify_method_outputs(
     Method& method,
-    serialized_bundled_program* bundled_program_ptr,
+    SerializedBundledProgram* bundled_program_ptr,
     size_t testset_idx,
     double rtol,
     double atol) {
@@ -390,12 +399,12 @@ __ET_NODISCARD Error VerifyResultWithBundledExpectedOutput(
   return Error::Ok;
 }
 
-__ET_NODISCARD Error GetProgramData(
+ET_NODISCARD Error get_program_data(
     void* file_data,
     size_t file_data_len,
     const void** out_program_data,
     size_t* out_program_data_len) {
-  if (IsBundledProgram(file_data)) {
+  if (is_bundled_program(file_data, file_data_len)) {
     auto program_bundled =
         bundled_program_flatbuffer::GetBundledProgram(file_data);
     *out_program_data = program_bundled->program()->data();
@@ -410,11 +419,13 @@ __ET_NODISCARD Error GetProgramData(
   return Error::Ok;
 }
 
-bool IsBundledProgram(void* file_data) {
+bool is_bundled_program(void* file_data, ET_UNUSED size_t file_data_len) {
+  // Even though the flatbuffer API doesn't accept a length, it's important to
+  // require one so that we could change the internal representation, or use a
+  // future API that does require a length.
   return bundled_program_flatbuffer::BundledProgramBufferHasIdentifier(
       file_data);
 }
 
 } // namespace bundled_program
-} // namespace executor
-} // namespace torch
+} // namespace executorch
diff --git a/devtools/bundled_program/bundled_program.h b/devtools/bundled_program/bundled_program.h
new file mode 100644
index 0000000000..884ca6f21b
--- /dev/null
+++ b/devtools/bundled_program/bundled_program.h
@@ -0,0 +1,142 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <executorch/runtime/core/memory_allocator.h>
+#include <executorch/runtime/executor/method.h>
+
+namespace executorch {
+namespace bundled_program {
+
+/**
+ * An opaque pointer to a serialized bundled program.
+ */
+using SerializedBundledProgram = const void;
+
+/**
+ * Load testset_idx-th bundled input of method_idx-th Method test in
+ * bundled_program_ptr to given Method.
+ *
+ * @param[in] method The Method to verify.
+ * @param[in] bundled_program_ptr The bundled program contains expected output.
+ * @param[in] testset_idx  The index of input needs to be set into given Method.
+ *
+ * @returns Return Error::Ok if load successfully, or the error happens during
+ * execution.
+ */
+ET_NODISCARD ::executorch::runtime::Error load_bundled_input(
+    ::executorch::runtime::Method& method,
+    SerializedBundledProgram* bundled_program_ptr,
+    size_t testset_idx);
+
+/**
+ * Compare the Method's output with testset_idx-th bundled expected
+ * output in method_idx-th Method test.
+ *
+ * @param[in] method The Method to extract outputs from.
+ * @param[in] bundled_program_ptr The bundled program contains expected output.
+ * @param[in] testset_idx  The index of expected output needs to be compared.
+ * @param[in] rtol Relative tolerance used for data comparsion.
+ * @param[in] atol Absolute tolerance used for data comparsion.
+ *
+ * @returns Return Error::Ok if two outputs match, or the error happens during
+ * execution.
+ */
+ET_NODISCARD ::executorch::runtime::Error verify_method_outputs(
+    ::executorch::runtime::Method& method,
+    SerializedBundledProgram* bundled_program_ptr,
+    size_t testset_idx,
+    double rtol = 1e-5,
+    double atol = 1e-8);
+
+/**
+ * Finds the serialized ExecuTorch program data in the provided bundled program
+ * file data.
+ *
+ * The returned buffer is appropriate for constructing a
+ * torch::executor::Program.
+ *
+ * @param[in] file_data The contents of an ExecuTorch program or bundled program
+ *                      file.
+ * @param[in] file_data_len The length of file_data, in bytes.
+ * @param[out] out_program_data The serialized Program data, if found.
+ * @param[out] out_program_data_len The length of out_program_data, in bytes.
+ *
+ * @returns Error::Ok if the given file is bundled program, a program was found
+ * in it, and out_program_data/out_program_data_len point to the data. Other
+ * values on failure.
+ */
+ET_NODISCARD ::executorch::runtime::Error get_program_data(
+    void* file_data,
+    size_t file_data_len,
+    const void** out_program_data,
+    size_t* out_program_data_len);
+
+/**
+ * Checks whether the given file is a bundled program.
+ *
+ * @param[in] file_data The contents of the given file.
+ * @param[in] file_data_len The length of file_data, in bytes.
+ *
+ * @returns true if the given file is a bundled program, false otherwise
+ */
+bool is_bundled_program(void* file_data, size_t file_data_len);
+
+/// DEPRECATED: Use the version with the file_data_len parameter.
+ET_DEPRECATED inline bool is_bundled_program(void* file_data) {
+  // 128 is enough data to contain the identifier in the flatbuffer header.
+  return is_bundled_program(file_data, 128);
+}
+
+} // namespace bundled_program
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+namespace bundled_program {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using serialized_bundled_program =
+    ::executorch::bundled_program::SerializedBundledProgram;
+
+ET_NODISCARD inline ::executorch::runtime::Error LoadBundledInput(
+    ::executorch::runtime::Method& method,
+    serialized_bundled_program* bundled_program_ptr,
+    size_t testset_idx) {
+  return ::executorch::bundled_program::load_bundled_input(
+      method, bundled_program_ptr, testset_idx);
+}
+
+ET_NODISCARD inline ::executorch::runtime::Error
+VerifyResultWithBundledExpectedOutput(
+    ::executorch::runtime::Method& method,
+    serialized_bundled_program* bundled_program_ptr,
+    size_t testset_idx,
+    double rtol = 1e-5,
+    double atol = 1e-8) {
+  return ::executorch::bundled_program::verify_method_outputs(
+      method, bundled_program_ptr, testset_idx, rtol, atol);
+}
+
+ET_NODISCARD inline ::executorch::runtime::Error GetProgramData(
+    void* file_data,
+    size_t file_data_len,
+    const void** out_program_data,
+    size_t* out_program_data_len) {
+  return ::executorch::bundled_program::get_program_data(
+      file_data, file_data_len, out_program_data, out_program_data_len);
+}
+
+inline bool IsBundledProgram(void* file_data) {
+  // 128 is enough data to contain the identifier in the flatbuffer header.
+  return ::executorch::bundled_program::is_bundled_program(file_data, 128);
+}
+} // namespace bundled_program
+} // namespace executor
+} // namespace torch
diff --git a/sdk/bundled_program/config.py b/devtools/bundled_program/config.py
similarity index 88%
rename from sdk/bundled_program/config.py
rename to devtools/bundled_program/config.py
index 3bfbe7bc69..9756317760 100644
--- a/sdk/bundled_program/config.py
+++ b/devtools/bundled_program/config.py
@@ -39,7 +39,7 @@
 """
 All supported types for input/expected output of MethodTestCase.
 
-Namedtuple is also supported and listed implicity since it is a subclass of tuple.
+Namedtuple is also supported and listed implicitly since it is a subclass of tuple.
 """
 
 # pyre-ignore
@@ -59,23 +59,23 @@ def __init__(
         """Single test case for verifying specific method
 
         Args:
-            input: All inputs required by eager_model with specific inference method for one-time execution.
+            inputs: All inputs required by eager_model with specific inference method for one-time execution.
 
                     It is worth mentioning that, although both bundled program and ET runtime apis support setting input
                     other than `torch.tensor` type, only the input in `torch.tensor` type will be actually updated in
                     the method, and the rest of the inputs will just do a sanity check if they match the default value in method.
 
-            expected_output: Expected output of given input for verification. It can be None if user only wants to use the test case for profiling.
+            expected_outputs: Expected output of given input for verification. It can be None if user only wants to use the test case for profiling.
 
         Returns:
             self
         """
         # TODO(gasoonjia): Update type check logic.
-        # pyre-ignore [6]: Misalign data type for between MethodTestCase attribute and sannity check.
+        # pyre-ignore [6]: Misalign data type for between MethodTestCase attribute and sanity check.
         self.inputs: List[ConfigValue] = self._flatten_and_sanity_check(inputs)
         self.expected_outputs: List[ConfigValue] = []
         if expected_outputs is not None:
-            # pyre-ignore [6]: Misalign data type for between MethodTestCase attribute and sannity check.
+            # pyre-ignore [6]: Misalign data type for between MethodTestCase attribute and sanity check.
             self.expected_outputs = self._flatten_and_sanity_check(expected_outputs)
 
     def _flatten_and_sanity_check(
diff --git a/sdk/bundled_program/core.py b/devtools/bundled_program/core.py
similarity index 98%
rename from sdk/bundled_program/core.py
rename to devtools/bundled_program/core.py
index 4fede5e595..c775fb1510 100644
--- a/sdk/bundled_program/core.py
+++ b/devtools/bundled_program/core.py
@@ -8,19 +8,19 @@
 import typing
 from typing import Dict, List, Optional, Sequence, Type, Union
 
-import executorch.exir.schema as core_schema
+import executorch.devtools.bundled_program.schema as bp_schema
 
-import executorch.sdk.bundled_program.schema as bp_schema
+import executorch.exir.schema as core_schema
 
 import torch
 import torch.fx
+from executorch.devtools.bundled_program.config import ConfigValue, MethodTestSuite
+
+from executorch.devtools.bundled_program.version import BUNDLED_PROGRAM_SCHEMA_VERSION
 
 from executorch.exir import ExecutorchProgram, ExecutorchProgramManager
 from executorch.exir._serialize import _serialize_pte_binary
 from executorch.exir.tensor import get_scalar_type, scalar_type_enum, TensorSpec
-from executorch.sdk.bundled_program.config import ConfigValue, MethodTestSuite
-
-from executorch.sdk.bundled_program.version import BUNDLED_PROGRAM_SCHEMA_VERSION
 
 # pyre-ignore
 supported_program_type_table: Dict[Type[core_schema.KernelTypes], ConfigValue] = {
@@ -230,7 +230,7 @@ def _assert_valid_bundle(
         Other checks not related to correspondence are done in config.py
 
         Args:
-            program: The program to be bundled.
+            executorch_program: The program to be bundled.
             method_test_suites: The testcases for specific methods to be bundled.
         """
 
diff --git a/sdk/bundled_program/schema/README.md b/devtools/bundled_program/schema/README.md
similarity index 100%
rename from sdk/bundled_program/schema/README.md
rename to devtools/bundled_program/schema/README.md
diff --git a/devtools/bundled_program/schema/TARGETS b/devtools/bundled_program/schema/TARGETS
new file mode 100644
index 0000000000..51c004cbec
--- /dev/null
+++ b/devtools/bundled_program/schema/TARGETS
@@ -0,0 +1,24 @@
+# Any targets that should be shared between fbcode and xplat must be defined in
+# targets.bzl. This file can contain fbcode-only targets.
+
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+load(":targets.bzl", "define_common_targets")
+
+oncall("executorch")
+
+define_common_targets()
+
+runtime.python_library(
+    name = "bundled_program_schema_py",
+    srcs = [
+        "__init__.py",
+        "bundled_program_schema.py",
+    ],
+    visibility = [
+        "//executorch/devtools/bundled_program/...",
+        "//executorch/devtools/etrecord/...",
+    ],
+    deps = [
+        "//executorch/exir:scalar_type",
+    ],
+)
diff --git a/sdk/bundled_program/schema/__init__.py b/devtools/bundled_program/schema/__init__.py
similarity index 100%
rename from sdk/bundled_program/schema/__init__.py
rename to devtools/bundled_program/schema/__init__.py
diff --git a/sdk/bundled_program/schema/bundled_program_schema.fbs b/devtools/bundled_program/schema/bundled_program_schema.fbs
similarity index 100%
rename from sdk/bundled_program/schema/bundled_program_schema.fbs
rename to devtools/bundled_program/schema/bundled_program_schema.fbs
diff --git a/sdk/bundled_program/schema/bundled_program_schema.py b/devtools/bundled_program/schema/bundled_program_schema.py
similarity index 100%
rename from sdk/bundled_program/schema/bundled_program_schema.py
rename to devtools/bundled_program/schema/bundled_program_schema.py
diff --git a/sdk/bundled_program/schema/scalar_type.fbs b/devtools/bundled_program/schema/scalar_type.fbs
similarity index 100%
rename from sdk/bundled_program/schema/scalar_type.fbs
rename to devtools/bundled_program/schema/scalar_type.fbs
diff --git a/devtools/bundled_program/schema/targets.bzl b/devtools/bundled_program/schema/targets.bzl
new file mode 100644
index 0000000000..532a01e039
--- /dev/null
+++ b/devtools/bundled_program/schema/targets.bzl
@@ -0,0 +1,83 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+BUNLDED_STEM = "bundled_program_schema"
+SCALAR_TYPE_STEM = "scalar_type"
+
+INPUT_BUNDLED = BUNLDED_STEM + ".fbs"
+INPUT_SCALAR_TYPE = SCALAR_TYPE_STEM + ".fbs"
+
+OUTPUT_BUNDLED_HEADER = BUNLDED_STEM + "_generated.h"
+OUTPUT_SCALAR_TYPE_HEADER = SCALAR_TYPE_STEM + "_generated.h"
+
+BUNDLED_GEN_RULE_NAME = "generate_bundled_program"
+
+BUNDLED_LIBRARY_NAME = BUNLDED_STEM + "_fbs"
+
+def _generate_schema_header(rule_name, srcs, headers, default_header):
+    """Generate header file given flatbuffer schema
+    """
+    runtime.genrule(
+        name = rule_name,
+        srcs = srcs,
+        # We're only generating a single file, so it seems like we could use
+        # `out`, but `flatc` takes a directory as a parameter, not a single
+        # file. Use `outs` so that `${OUT}` is expanded as the containing
+        # directory instead of the file itself.
+        outs = {header: [header] for header in headers},
+        default_outs = [default_header],
+        cmd = " ".join([
+            "$(exe {})".format(runtime.external_dep_location("flatc")),
+            "--cpp",
+            "--cpp-std c++11",
+            "--gen-mutable",
+            "--scoped-enums",
+            "-o ${OUT}",
+            "${SRCS}",
+            # Let our infra know that the file was generated.
+            " ".join(["&& echo // @" + "generated >> ${OUT}/" + header for header in headers]),
+        ]),
+        visibility = [],  # Private
+    )
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+
+    runtime.export_file(
+        name = INPUT_BUNDLED,
+        visibility = [
+            "//executorch/devtools/bundled_program/serialize/...",
+        ],
+    )
+
+    runtime.export_file(
+        name = INPUT_SCALAR_TYPE,
+        visibility = [
+            "//executorch/devtools/bundled_program/serialize/...",
+        ],
+    )
+
+    _generate_schema_header(
+        BUNDLED_GEN_RULE_NAME,
+        [INPUT_BUNDLED, INPUT_SCALAR_TYPE],
+        [OUTPUT_BUNDLED_HEADER, OUTPUT_SCALAR_TYPE_HEADER],
+        OUTPUT_BUNDLED_HEADER,
+    )
+
+    # Header-only library target with the generate bundled program schema header.
+    runtime.cxx_library(
+        name = BUNDLED_LIBRARY_NAME,
+        srcs = [],
+        visibility = [
+            "//executorch/devtools/bundled_program/...",
+            "//executorch/extension/pybindings/...",
+        ],
+        exported_headers = {
+            OUTPUT_BUNDLED_HEADER: ":{}[{}]".format(BUNDLED_GEN_RULE_NAME, OUTPUT_BUNDLED_HEADER),
+            OUTPUT_SCALAR_TYPE_HEADER: ":{}[{}]".format(BUNDLED_GEN_RULE_NAME, OUTPUT_SCALAR_TYPE_HEADER),
+        },
+        exported_external_deps = ["flatbuffers-api"],
+    )
diff --git a/sdk/bundled_program/schema/test/TARGETS b/devtools/bundled_program/schema/test/TARGETS
similarity index 100%
rename from sdk/bundled_program/schema/test/TARGETS
rename to devtools/bundled_program/schema/test/TARGETS
diff --git a/sdk/bundled_program/schema/test/test_schema.py b/devtools/bundled_program/schema/test/test_schema.py
similarity index 79%
rename from sdk/bundled_program/schema/test/test_schema.py
rename to devtools/bundled_program/schema/test/test_schema.py
index ab3d2760d2..c2a19adef7 100644
--- a/sdk/bundled_program/schema/test/test_schema.py
+++ b/devtools/bundled_program/schema/test/test_schema.py
@@ -20,8 +20,8 @@ def test_schema_sync(self) -> None:
 
         self.assertTrue(
             filecmp.cmp(
-                prefix + "sdk/bundled_program/schema/scalar_type.fbs",
+                prefix + "devtools/bundled_program/schema/scalar_type.fbs",
                 prefix + "schema/scalar_type.fbs",
             ),
-            'Please run "hg cp fbcode//executorch/schema/scalar_type.fbs fbcode//executorch/sdk/bundled_program/schema/scalar_type.fbs" to sync schema changes.',
+            'Please run "hg cp fbcode//executorch/schema/scalar_type.fbs fbcode//executorch/devtools/bundled_program/schema/scalar_type.fbs" to sync schema changes.',
         )
diff --git a/devtools/bundled_program/serialize/TARGETS b/devtools/bundled_program/serialize/TARGETS
new file mode 100644
index 0000000000..11c5839977
--- /dev/null
+++ b/devtools/bundled_program/serialize/TARGETS
@@ -0,0 +1,37 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+oncall("executorch")
+
+# Use runtime.python_library instead of the one defined in python_library.bzl,
+# so we can have access to EXECUTORCH_CLIENTS list.
+runtime.python_library(
+    name = "lib",
+    srcs = [
+        "__init__.py",
+    ],
+    resources = {
+        "//executorch/devtools/bundled_program/schema:bundled_program_schema.fbs": "bundled_program_schema.fbs",
+        "//executorch/devtools/bundled_program/schema:scalar_type.fbs": "scalar_type.fbs",
+    },
+    # Currently serialization API should only be used in some dedicated targets,
+    # to avoid ODR violation when linking with another Flatbuffers library.
+    # Please ask before changing this.
+    visibility = [
+        "//executorch/bacends/...",
+        "//executorch/backends/xnnpack/test/...",
+        "//executorch/codegen/...",
+        "//executorch/devtools/bundled_program/tests/...",
+        "//executorch/examples/async_exec:emit_program_lib",
+        "//executorch/exir:lib",
+        "//executorch/extension/pybindings/test:test",
+        "//executorch/extension/pybindings/test:test-library",
+        "//executorch/profiler/...",
+        "//executorch/test/...",
+        "@EXECUTORCH_CLIENTS",
+    ],
+    deps = [
+        "fbsource//third-party/pypi/setuptools:setuptools",
+        "//executorch/devtools/bundled_program/schema:bundled_program_schema_py",
+        "//executorch/exir/_serialize:lib",
+    ],
+)
diff --git a/devtools/bundled_program/serialize/__init__.py b/devtools/bundled_program/serialize/__init__.py
new file mode 100644
index 0000000000..075436e9c1
--- /dev/null
+++ b/devtools/bundled_program/serialize/__init__.py
@@ -0,0 +1,122 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-strict
+
+# TODO(T138924864): Refactor to unify the serialization for bundled program and executorch program.
+
+import json
+import os
+import tempfile
+
+import executorch.devtools.bundled_program.schema as bp_schema
+
+# @manual=fbsource//third-party/pypi/setuptools:setuptools
+import pkg_resources
+from executorch.devtools.bundled_program.core import BundledProgram
+
+from executorch.exir._serialize._dataclass import _DataclassEncoder, _json_to_dataclass
+from executorch.exir._serialize._flatbuffer import _flatc_compile, _flatc_decompile
+
+# The prefix of schema files used for bundled program
+BUNDLED_PROGRAM_SCHEMA_NAME = "bundled_program_schema"
+SCALAR_TYPE_SCHEMA_NAME = "scalar_type"
+
+
+def write_schema(d: str, schema_name: str) -> None:
+    schema_path = os.path.join(d, "{}.fbs".format(schema_name))
+    with open(schema_path, "wb") as schema_file:
+        schema_file.write(
+            pkg_resources.resource_string(__name__, "{}.fbs".format(schema_name))
+        )
+
+
+def serialize_from_bundled_program_to_json(
+    bundled_program: bp_schema.BundledProgram,
+) -> str:
+    return json.dumps(bundled_program, cls=_DataclassEncoder)
+
+
+def deserialize_from_json_to_bundled_program(
+    program_json: bytes,
+) -> bp_schema.BundledProgram:
+    program_json = json.loads(program_json)
+    return _json_to_dataclass(program_json, bp_schema.BundledProgram)
+
+
+def convert_to_flatbuffer(program_json: str) -> bytes:
+    with tempfile.TemporaryDirectory() as d:
+        # load given and common schema
+        write_schema(d, BUNDLED_PROGRAM_SCHEMA_NAME)
+        write_schema(d, SCALAR_TYPE_SCHEMA_NAME)
+
+        schema_path = os.path.join(d, "{}.fbs".format(BUNDLED_PROGRAM_SCHEMA_NAME))
+        json_path = os.path.join(d, "{}.json".format(BUNDLED_PROGRAM_SCHEMA_NAME))
+        with open(json_path, "wb") as json_file:
+            json_file.write(program_json.encode("ascii"))
+        _flatc_compile(d, schema_path, json_path)
+        output_path = os.path.join(d, "{}.bpte".format(BUNDLED_PROGRAM_SCHEMA_NAME))
+        with open(output_path, "rb") as output_file:
+            return output_file.read()
+
+
+def convert_from_flatbuffer(program_flatbuffer: bytes) -> bytes:
+    with tempfile.TemporaryDirectory() as d:
+        write_schema(d, BUNDLED_PROGRAM_SCHEMA_NAME)
+        write_schema(d, SCALAR_TYPE_SCHEMA_NAME)
+
+        schema_path = os.path.join(d, "{}.fbs".format(BUNDLED_PROGRAM_SCHEMA_NAME))
+        bin_path = os.path.join(d, "schema.bin")
+        with open(bin_path, "wb") as bin_file:
+            bin_file.write(program_flatbuffer)
+        _flatc_decompile(d, schema_path, bin_path)
+        output_path = os.path.join(d, "schema.json")
+        with open(output_path, "rb") as output_file:
+            return output_file.read()
+
+
+# from bundled program to flatbuffer
+def serialize_from_bundled_program_to_flatbuffer(
+    bundled_program: BundledProgram,
+) -> bytes:
+    """
+    Serialize a BundledProgram into FlatBuffer binary format.
+
+    Args:
+        bundled_program (BundledProgram): The `BundledProgram` variable to be serialized.
+
+    Returns:
+        The serialized FlatBuffer binary data in bytes.
+    """
+
+    bundled_program_in_schema = bundled_program.serialize_to_schema()
+
+    return convert_to_flatbuffer(
+        serialize_from_bundled_program_to_json(bundled_program_in_schema)
+    )
+
+
+# From flatbuffer to bundled program in schema.
+# Please notice here the bundled program is the one in our schema (bp_schema.BundledProgram),
+# not the bundled program user interact with (core.bundled_program).
+# However there're two concerns for current design:
+# 1. the misalignment of serialization input and deserialization out, which may confuse our user.
+# 2. the mis-exposion of schema.bundled_program. all classes in schema should not directly
+#    interact with user, but the deserialization api returns one.
+# TODO(T170042248): Solve the above issues.
+def deserialize_from_flatbuffer_to_bundled_program(
+    flatbuffer: bytes,
+) -> bp_schema.BundledProgram:
+    """
+    Deserialize a FlatBuffer binary format into a BundledProgram.
+
+    Args:
+        flatbuffer (bytes): The FlatBuffer binary data in bytes.
+
+    Returns:
+        A `BundledProgram` instance.
+    """
+    return deserialize_from_json_to_bundled_program(convert_from_flatbuffer(flatbuffer))
diff --git a/devtools/bundled_program/serialize/test/TARGETS b/devtools/bundled_program/serialize/test/TARGETS
new file mode 100644
index 0000000000..dd92f63f2d
--- /dev/null
+++ b/devtools/bundled_program/serialize/test/TARGETS
@@ -0,0 +1,17 @@
+# @noautodeps
+
+load("@fbcode_macros//build_defs:python_unittest.bzl", "python_unittest")
+
+oncall("executorch")
+
+python_unittest(
+    name = "serialize",
+    srcs = [
+        "test_serialize.py",
+    ],
+    deps = [
+        "//executorch/devtools/bundled_program:core",
+        "//executorch/devtools/bundled_program/serialize:lib",
+        "//executorch/devtools/bundled_program/util:test_util",
+    ],
+)
diff --git a/sdk/bundled_program/serialize/test/test_serialize.py b/devtools/bundled_program/serialize/test/test_serialize.py
similarity index 82%
rename from sdk/bundled_program/serialize/test/test_serialize.py
rename to devtools/bundled_program/serialize/test/test_serialize.py
index 1db6871fc0..48a914d144 100644
--- a/sdk/bundled_program/serialize/test/test_serialize.py
+++ b/devtools/bundled_program/serialize/test/test_serialize.py
@@ -8,13 +8,15 @@
 
 import unittest
 
-from executorch.sdk.bundled_program.core import BundledProgram
+from executorch.devtools.bundled_program.core import BundledProgram
 
-from executorch.sdk.bundled_program.serialize import (
+from executorch.devtools.bundled_program.serialize import (
     deserialize_from_flatbuffer_to_bundled_program,
     serialize_from_bundled_program_to_flatbuffer,
 )
-from executorch.sdk.bundled_program.util.test_util import get_common_executorch_program
+from executorch.devtools.bundled_program.util.test_util import (
+    get_common_executorch_program,
+)
 
 
 class TestSerialize(unittest.TestCase):
diff --git a/devtools/bundled_program/targets.bzl b/devtools/bundled_program/targets.bzl
new file mode 100644
index 0000000000..7035b3b31f
--- /dev/null
+++ b/devtools/bundled_program/targets.bzl
@@ -0,0 +1,28 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+
+    for aten_mode in (True, False):
+        aten_suffix = ("_aten" if aten_mode else "")
+        runtime.cxx_library(
+            name = "runtime" + aten_suffix,
+            srcs = ["bundled_program.cpp"],
+            exported_headers = ["bundled_program.h"],
+            visibility = [
+                "//executorch/...",
+                "@EXECUTORCH_CLIENTS",
+            ],
+            deps = [
+                "//executorch/runtime/core/exec_aten/util:dim_order_util" + aten_suffix,
+                "//executorch/devtools/bundled_program/schema:bundled_program_schema_fbs",
+            ],
+            exported_deps = [
+                "//executorch/runtime/core:memory_allocator",
+                "//executorch/runtime/executor:program" + aten_suffix,
+            ],
+        )
diff --git a/devtools/bundled_program/test/TARGETS b/devtools/bundled_program/test/TARGETS
new file mode 100644
index 0000000000..652c74b8f4
--- /dev/null
+++ b/devtools/bundled_program/test/TARGETS
@@ -0,0 +1,63 @@
+# @noautodeps
+
+load("@fbcode_macros//build_defs:python_unittest.bzl", "python_unittest")
+
+oncall("executorch")
+
+python_unittest(
+    name = "bundle_data",
+    srcs = [
+        "test_bundle_data.py",
+    ],
+    deps = [
+        "//caffe2:torch",
+        "//executorch/devtools/bundled_program:config",
+        "//executorch/devtools/bundled_program:core",
+        "//executorch/devtools/bundled_program/schema:bundled_program_schema_py",
+        "//executorch/devtools/bundled_program/util:test_util",
+        "//executorch/exir/_serialize:lib",
+    ],
+)
+
+python_unittest(
+    name = "config",
+    srcs = [
+        "test_config.py",
+    ],
+    deps = [
+        "//caffe2:torch",
+        "//executorch/devtools/bundled_program:config",
+        "//executorch/devtools/bundled_program/util:test_util",
+        "//executorch/extension/pytree:pylib",
+    ],
+)
+
+python_unittest(
+    name = "end2end",
+    srcs = [
+        "test_end2end.py",
+    ],
+    deps = [
+        "//caffe2:torch",
+        "//executorch/devtools/bundled_program:config",
+        "//executorch/devtools/bundled_program:core",
+        "//executorch/devtools/bundled_program/serialize:lib",
+        "//executorch/devtools/bundled_program/util:test_util",
+        "//executorch/exir:dynamic_shape",
+        "//executorch/exir:lib",
+        "//executorch/exir:memory",
+        "//executorch/exir:pass_manager",
+        "//executorch/exir:print_program",
+        "//executorch/exir:tensor",
+        "//executorch/exir/_serialize:lib",
+        "//executorch/exir/emit:lib",
+        "//executorch/exir/passes:lib",
+        "//executorch/exir/tests:control_flow_models",
+        "//executorch/exir/tests:dynamic_shape_models",
+        "//executorch/exir/tests:models",
+        "//executorch/exir/tests:transformer",
+        "//executorch/extension/pybindings:portable_lib",
+        "//executorch/extension/pytree:pybindings",
+        "//executorch/kernels/portable:custom_ops_generated_lib",
+    ],
+)
diff --git a/sdk/bundled_program/test/test_bundle_data.py b/devtools/bundled_program/test/test_bundle_data.py
similarity index 93%
rename from sdk/bundled_program/test/test_bundle_data.py
rename to devtools/bundled_program/test/test_bundle_data.py
index a8d9485c5f..565539cbf1 100644
--- a/sdk/bundled_program/test/test_bundle_data.py
+++ b/devtools/bundled_program/test/test_bundle_data.py
@@ -9,13 +9,15 @@
 import unittest
 from typing import List
 
-import executorch.sdk.bundled_program.schema as bp_schema
+import executorch.devtools.bundled_program.schema as bp_schema
 
 import torch
+from executorch.devtools.bundled_program.config import ConfigValue
+from executorch.devtools.bundled_program.core import BundledProgram
+from executorch.devtools.bundled_program.util.test_util import (
+    get_common_executorch_program,
+)
 from executorch.exir._serialize import _serialize_pte_binary
-from executorch.sdk.bundled_program.config import ConfigValue
-from executorch.sdk.bundled_program.core import BundledProgram
-from executorch.sdk.bundled_program.util.test_util import get_common_executorch_program
 
 
 class TestBundle(unittest.TestCase):
diff --git a/sdk/bundled_program/test/test_config.py b/devtools/bundled_program/test/test_config.py
similarity index 97%
rename from sdk/bundled_program/test/test_config.py
rename to devtools/bundled_program/test/test_config.py
index 3183ad907f..21f3d48042 100644
--- a/sdk/bundled_program/test/test_config.py
+++ b/devtools/bundled_program/test/test_config.py
@@ -10,14 +10,14 @@
 from typing import get_args, List, Union
 
 import torch
-from executorch.extension.pytree import tree_flatten
-from executorch.sdk.bundled_program.config import DataContainer
+from executorch.devtools.bundled_program.config import DataContainer
 
-from executorch.sdk.bundled_program.util.test_util import (
+from executorch.devtools.bundled_program.util.test_util import (
     get_random_test_suites,
     get_random_test_suites_with_eager_model,
     SampleModel,
 )
+from executorch.extension.pytree import tree_flatten
 
 
 class TestConfig(unittest.TestCase):
diff --git a/sdk/bundled_program/test/test_end2end.py b/devtools/bundled_program/test/test_end2end.py
similarity index 88%
rename from sdk/bundled_program/test/test_end2end.py
rename to devtools/bundled_program/test/test_end2end.py
index 99d58ee15c..7cee073be0 100644
--- a/sdk/bundled_program/test/test_end2end.py
+++ b/devtools/bundled_program/test/test_end2end.py
@@ -21,12 +21,12 @@
 
 import torch
 
-from executorch.sdk.bundled_program.core import BundledProgram
-from executorch.sdk.bundled_program.serialize import (
+from executorch.devtools.bundled_program.core import BundledProgram
+from executorch.devtools.bundled_program.serialize import (
     serialize_from_bundled_program_to_flatbuffer,
 )
 
-from executorch.sdk.bundled_program.util.test_util import (
+from executorch.devtools.bundled_program.util.test_util import (
     get_common_executorch_program,
     SampleModel,
 )
@@ -45,7 +45,7 @@
     pass
 
 try:
-    from executorch.extension.pybindings.aten_lib import (
+    from executorch.extension.pybindings.aten_lib import (  # @manual=//executorch/extension/pybindings:aten_lib
         _load_bundled_program_from_buffer,
         _load_for_executorch_from_buffer,
         _load_for_executorch_from_bundled_program,
diff --git a/devtools/bundled_program/util/TARGETS b/devtools/bundled_program/util/TARGETS
new file mode 100644
index 0000000000..7d019ce30f
--- /dev/null
+++ b/devtools/bundled_program/util/TARGETS
@@ -0,0 +1,16 @@
+load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
+
+oncall("executorch")
+
+python_library(
+    name = "test_util",
+    srcs = [
+        "test_util.py",
+    ],
+    visibility = ["//executorch/devtools/bundled_program/..."],
+    deps = [
+        "//caffe2:torch",
+        "//executorch/devtools/bundled_program:config",
+        "//executorch/exir:lib",
+    ],
+)
diff --git a/sdk/bundled_program/util/test_util.py b/devtools/bundled_program/util/test_util.py
similarity index 99%
rename from sdk/bundled_program/util/test_util.py
rename to devtools/bundled_program/util/test_util.py
index bfea8158ac..505186f3a0 100644
--- a/sdk/bundled_program/util/test_util.py
+++ b/devtools/bundled_program/util/test_util.py
@@ -10,14 +10,14 @@
 from typing import List, Tuple
 
 import torch
-
-from executorch.exir import ExecutorchProgramManager, to_edge
-from executorch.sdk.bundled_program.config import (
+from executorch.devtools.bundled_program.config import (
     MethodInputType,
     MethodOutputType,
     MethodTestCase,
     MethodTestSuite,
 )
+
+from executorch.exir import ExecutorchProgramManager, to_edge
 from torch.export import export
 from torch.export.unflatten import _assign_attr, _AttrKind
 
diff --git a/sdk/bundled_program/version.py b/devtools/bundled_program/version.py
similarity index 100%
rename from sdk/bundled_program/version.py
rename to devtools/bundled_program/version.py
diff --git a/sdk/debug_format/TARGETS b/devtools/debug_format/TARGETS
similarity index 100%
rename from sdk/debug_format/TARGETS
rename to devtools/debug_format/TARGETS
diff --git a/sdk/debug_format/base_schema.py b/devtools/debug_format/base_schema.py
similarity index 94%
rename from sdk/debug_format/base_schema.py
rename to devtools/debug_format/base_schema.py
index b987c28874..9b6247051e 100644
--- a/sdk/debug_format/base_schema.py
+++ b/devtools/debug_format/base_schema.py
@@ -4,8 +4,10 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 """
-Base Intermediate Representation for Productivity SDK consumers
+Base Intermediate Representation for Developer Tools consumers
 (e.g. TensorBoard, Terminal Debugger)
 """
 
diff --git a/sdk/debug_format/et_schema.py b/devtools/debug_format/et_schema.py
similarity index 99%
rename from sdk/debug_format/et_schema.py
rename to devtools/debug_format/et_schema.py
index 9a6af4edba..bb15d70abc 100644
--- a/sdk/debug_format/et_schema.py
+++ b/devtools/debug_format/et_schema.py
@@ -4,8 +4,10 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 """
-Intermediate Representation of ExecuTorch Concepts in Productivity SDK
+Intermediate Representation of ExecuTorch Concepts in Developer Tools
 """
 
 from __future__ import annotations
@@ -21,7 +23,7 @@
 
 import torch
 from executorch import exir
-from executorch.sdk.debug_format.base_schema import (
+from executorch.devtools.debug_format.base_schema import (
     Node,
     OperatorGraph,
     OperatorNode,
diff --git a/devtools/etdump/TARGETS b/devtools/etdump/TARGETS
new file mode 100644
index 0000000000..7dcc4c1e84
--- /dev/null
+++ b/devtools/etdump/TARGETS
@@ -0,0 +1,38 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+load(":targets.bzl", "define_common_targets")
+
+oncall("executorch")
+
+define_common_targets()
+
+runtime.python_library(
+    name = "schema_flatcc",
+    srcs = [
+        "schema_flatcc.py",
+    ],
+    visibility = [
+        "//executorch/devtools/...",
+    ],
+    deps = [
+        "//executorch/exir:scalar_type",
+    ],
+)
+
+runtime.python_library(
+    name = "serialize",
+    srcs = [
+        "serialize.py",
+    ],
+    resources = {
+        "//executorch/devtools/etdump:etdump_schema_flatcc.fbs": "etdump_schema_flatcc.fbs",
+        "//executorch/schema:scalar_type.fbs": "scalar_type.fbs",
+    },
+    visibility = [
+        "//executorch/devtools/...",
+    ],
+    deps = [
+        "fbsource//third-party/pypi/setuptools:setuptools",
+        ":schema_flatcc",
+        "//executorch/exir/_serialize:lib",
+    ],
+)
diff --git a/devtools/etdump/emitter.cpp b/devtools/etdump/emitter.cpp
new file mode 100644
index 0000000000..653c75cb08
--- /dev/null
+++ b/devtools/etdump/emitter.cpp
@@ -0,0 +1,167 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/devtools/etdump/emitter.h>
+
+#include <cstdint>
+#include <cstring>
+
+#include <executorch/devtools/etdump/etdump_flatcc.h>
+#include <executorch/runtime/platform/assert.h>
+
+#include <flatcc/flatcc_builder.h>
+
+using executorch::etdump::internal::ETDumpStaticAllocator;
+
+namespace executorch {
+namespace etdump {
+namespace internal {
+
+namespace {
+
+int allocator_fn(
+    void* alloc_context,
+    flatcc_iovec_t* b,
+    size_t request,
+    int zero_fill,
+    int hint) {
+  void* p;
+  size_t n;
+
+  ETDumpStaticAllocator* state =
+      reinterpret_cast<ETDumpStaticAllocator*>(alloc_context);
+
+  // This allocator doesn't support freeing memory.
+  if (request == 0) {
+    if (b->iov_base) {
+      b->iov_base = nullptr;
+      b->iov_len = 0;
+    }
+    return 0;
+  }
+
+  switch (hint) {
+    case flatcc_builder_alloc_ds:
+      n = 256;
+      break;
+    case flatcc_builder_alloc_ht:
+      /* Should be exact size, or space size is just wasted. */
+      n = request;
+      break;
+    case flatcc_builder_alloc_fs:
+      n = sizeof(__flatcc_builder_frame_t) * 8;
+      break;
+    case flatcc_builder_alloc_us:
+      n = 64;
+      break;
+    case flatcc_builder_alloc_vd:
+      n = 64;
+      break;
+    default:
+      /*
+       * We have many small structures - vs stack for tables with few
+       * elements, and few offset fields in patch log. No need to
+       * overallocate in case of busy small messages.
+       */
+      n = 32;
+      break;
+  }
+
+  while (n < request) {
+    n *= 2;
+  }
+
+  if (b->iov_base != nullptr) {
+    if (request > b->iov_len) {
+      // We don't support reallocating larger buffers.
+      if (((uintptr_t)b->iov_base + b->iov_len) ==
+          (uintptr_t)&state->data[state->allocated]) {
+        if ((state->allocated + n - b->iov_len) > state->data_size) {
+          return -1;
+        }
+        state->allocated += n - b->iov_len;
+      } else {
+        if ((state->allocated + n) > state->data_size) {
+          return -1;
+        }
+        memcpy((void*)&state->data[state->allocated], b->iov_base, b->iov_len);
+        b->iov_base = &state->data[state->allocated];
+        state->allocated += n;
+      }
+      if (zero_fill) {
+        memset((uint8_t*)b->iov_base + b->iov_len, 0, n - b->iov_len);
+      }
+      b->iov_len = n;
+    }
+
+    // Ignore request to resize buffers down.
+    return 0;
+  }
+
+  if ((state->allocated + n) > state->data_size) {
+    return -1;
+  }
+
+  p = &state->data[state->allocated];
+  state->allocated += n;
+
+  if (zero_fill) {
+    memset((void*)p, 0, n);
+  }
+
+  b->iov_base = p;
+  b->iov_len = n;
+
+  return 0;
+}
+
+// This emitter implementation emits to a fixed size buffer and will fail if it
+// runs out of room on either end.
+int emitter_fn(
+    void* emit_context,
+    const flatcc_iovec_t* iov,
+    int iov_count,
+    flatbuffers_soffset_t offset,
+    size_t len) {
+  ETDumpStaticAllocator* E =
+      reinterpret_cast<ETDumpStaticAllocator*>(emit_context);
+  uint8_t* p;
+
+  if (offset < 0) {
+    if (len > E->front_left) {
+      return -1;
+    }
+    E->front_cursor -= len;
+    E->front_left -= len;
+    p = E->front_cursor;
+  } else {
+    ET_CHECK_MSG(
+        0, "Moving the back pointer is currently not supported in ETDump.");
+  }
+
+  while (iov_count--) {
+    memcpy(p, iov->iov_base, iov->iov_len);
+    p += iov->iov_len;
+    ++iov;
+  }
+
+  return 0;
+}
+
+} // namespace
+
+int etdump_flatcc_custom_init(
+    flatcc_builder_t* builder,
+    struct ETDumpStaticAllocator* alloc) {
+  return flatcc_builder_custom_init(
+      builder, emitter_fn, alloc, allocator_fn, alloc);
+}
+
+} // namespace internal
+} // namespace etdump
+} // namespace executorch
diff --git a/devtools/etdump/emitter.h b/devtools/etdump/emitter.h
new file mode 100644
index 0000000000..09c1b56aa5
--- /dev/null
+++ b/devtools/etdump/emitter.h
@@ -0,0 +1,28 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <cstdint>
+#include <cstdlib>
+
+#include <executorch/devtools/etdump/etdump_flatcc.h>
+
+typedef struct flatcc_builder flatcc_builder_t;
+
+namespace executorch {
+namespace etdump {
+namespace internal {
+
+int etdump_flatcc_custom_init(
+    flatcc_builder_t* builder,
+    internal::ETDumpStaticAllocator* alloc);
+
+} // namespace internal
+} // namespace etdump
+} // namespace executorch
diff --git a/devtools/etdump/etdump_flatcc.cpp b/devtools/etdump/etdump_flatcc.cpp
new file mode 100644
index 0000000000..4c05bb5ace
--- /dev/null
+++ b/devtools/etdump/etdump_flatcc.cpp
@@ -0,0 +1,635 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/devtools/etdump/etdump_flatcc.h>
+
+#include <cstring>
+
+#include <executorch/devtools/etdump/emitter.h>
+#include <executorch/devtools/etdump/etdump_schema_flatcc_builder.h>
+#include <executorch/devtools/etdump/etdump_schema_flatcc_reader.h>
+#include <executorch/runtime/core/exec_aten/exec_aten.h>
+#include <executorch/runtime/core/exec_aten/util/scalar_type_util.h>
+#include <executorch/runtime/platform/assert.h>
+
+#include <flatcc/flatcc_types.h>
+
+using ::exec_aten::Tensor;
+using ::executorch::runtime::AllocatorID;
+using ::executorch::runtime::ArrayRef;
+using ::executorch::runtime::ChainID;
+using ::executorch::runtime::DebugHandle;
+using ::executorch::runtime::DelegateDebugIdType;
+using ::executorch::runtime::EValue;
+using ::executorch::runtime::EventTracerEntry;
+using ::executorch::runtime::LoggedEValueType;
+using ::executorch::runtime::Span;
+using ::executorch::runtime::Tag;
+
+namespace executorch {
+namespace etdump {
+
+namespace {
+
+executorch_flatbuffer_ScalarType_enum_t get_flatbuffer_scalar_type(
+    exec_aten::ScalarType tensor_scalar_type) {
+  switch (tensor_scalar_type) {
+    case exec_aten::ScalarType::Byte:
+      return executorch_flatbuffer_ScalarType_BYTE;
+    case exec_aten::ScalarType::Char:
+      return executorch_flatbuffer_ScalarType_CHAR;
+    case exec_aten::ScalarType::Short:
+      return executorch_flatbuffer_ScalarType_SHORT;
+    case exec_aten::ScalarType::Float:
+      return executorch_flatbuffer_ScalarType_FLOAT;
+    case exec_aten::ScalarType::Int:
+      return executorch_flatbuffer_ScalarType_INT;
+    case exec_aten::ScalarType::Long:
+      return executorch_flatbuffer_ScalarType_LONG;
+    case exec_aten::ScalarType::Double:
+      return executorch_flatbuffer_ScalarType_DOUBLE;
+    case exec_aten::ScalarType::Bool:
+      return executorch_flatbuffer_ScalarType_BOOL;
+    default:
+      ET_CHECK_MSG(
+          0,
+          "This ScalarType = %hhd is not yet supported in ETDump",
+          static_cast<char>(tensor_scalar_type));
+  }
+}
+
+etdump_Tensor_ref_t add_tensor_entry(
+    flatcc_builder_t* builder_,
+    const exec_aten::Tensor& tensor,
+    long offset) {
+  etdump_Tensor_start(builder_);
+
+  etdump_Tensor_scalar_type_add(
+      builder_, get_flatbuffer_scalar_type(tensor.scalar_type()));
+  etdump_Tensor_sizes_start(builder_);
+
+  for (auto dim : tensor.sizes()) {
+    int64_t cast_dim = static_cast<int64_t>(dim);
+    etdump_Tensor_sizes_push(builder_, &cast_dim);
+  }
+  etdump_Tensor_sizes_end(builder_);
+
+  etdump_Tensor_strides_start(builder_);
+  for (auto dim : tensor.strides()) {
+    int64_t cast_dim = static_cast<int64_t>(dim);
+    etdump_Tensor_strides_push(builder_, &cast_dim);
+  }
+  etdump_Tensor_strides_end(builder_);
+  etdump_Tensor_offset_add(builder_, offset);
+
+  return etdump_Tensor_end(builder_);
+}
+
+static uint8_t* alignPointer(void* ptr, size_t alignment) {
+  intptr_t addr = reinterpret_cast<intptr_t>(ptr);
+  if ((addr & (alignment - 1)) == 0) {
+    // Already aligned.
+    return reinterpret_cast<uint8_t*>(ptr);
+  }
+  addr = (addr | (alignment - 1)) + 1;
+  return reinterpret_cast<uint8_t*>(addr);
+}
+
+} // namespace
+
+// Constructor implementation
+ETDumpGen::ETDumpGen(Span<uint8_t> buffer) {
+  constexpr size_t max_alloc_buf_size = 128 * 1024;
+
+  // Initialize the flatcc builder_ using the buffer and buffer size.
+
+  if (buffer.data() != nullptr) {
+    builder_ = (struct flatcc_builder*)alignPointer(buffer.data(), 64);
+    uintptr_t buffer_with_builder =
+        (uintptr_t)alignPointer(builder_ + sizeof(struct flatcc_builder), 64);
+    size_t buffer_size = buffer.size() -
+        (size_t)(buffer_with_builder - (uintptr_t)buffer.data());
+    alloc_.set_buffer(
+        (uint8_t*)buffer_with_builder,
+        buffer_size,
+        (size_t)((buffer_size / 4 > max_alloc_buf_size) ? max_alloc_buf_size
+                                                        : buffer_size / 4));
+    internal::etdump_flatcc_custom_init(builder_, &alloc_);
+  } else {
+    builder_ = (struct flatcc_builder*)malloc(sizeof(struct flatcc_builder));
+    ET_CHECK_MSG(
+        builder_ != nullptr, "Failed to allocate memory for flatcc builder_.");
+    flatcc_builder_init(builder_);
+  }
+  reset();
+}
+
+ETDumpGen::~ETDumpGen() {
+  flatcc_builder_clear(builder_);
+  if (!is_static_etdump()) {
+    free(builder_);
+  }
+}
+
+void ETDumpGen::reset() {
+  state_ = State::Init;
+  num_blocks_ = 0;
+  flatcc_builder_reset(builder_);
+  flatbuffers_buffer_start(builder_, etdump_ETDump_file_identifier);
+  etdump_ETDump_start_as_root_with_size(builder_);
+  etdump_ETDump_version_add(builder_, ETDUMP_VERSION);
+  etdump_ETDump_run_data_start(builder_);
+  etdump_ETDump_run_data_push_start(builder_);
+}
+
+void ETDumpGen::create_event_block(const char* name) {
+  if (state_ == State::AddingEvents) {
+    etdump_RunData_events_end(builder_);
+  } else if (state_ == State::Done) {
+    reset();
+  }
+  if (num_blocks_ > 0) {
+    etdump_ETDump_run_data_push_end(builder_);
+    etdump_ETDump_run_data_push_start(builder_);
+  }
+  ++num_blocks_;
+  etdump_RunData_name_create_strn(builder_, name, strlen(name));
+  if (bundled_input_index_ != -1) {
+    etdump_RunData_bundled_input_index_add(builder_, bundled_input_index_);
+  }
+  state_ = State::BlockCreated;
+}
+
+int64_t ETDumpGen::create_string_entry(const char* name) {
+  return flatbuffers_string_create_str(builder_, name);
+}
+
+// ETDumpGen has the following possible states, ETDumpGen_Init,
+// ETDumpGen_Block_Created, ETDumpGen_Adding_Allocators,
+// ETDumpGen_Adding_Events. Right after boot-up the state of ETDump will be
+// ETDumpGen_Init. At this point we have an option of adding allocators that
+// we want to track. Once we've completed adding the allocators we want to track
+// we will close the allocators table and move ETDumpGen to the
+// ETDumpGen_Adding_Events state. After this point we can start adding events to
+// ETDump as we wish.
+// The reason we need to maintain this state machine inside of ETDumpGen is
+// because, once a table of one type has been closed and another table of a
+// different type is opened after it we cannot open another table of the first
+// type again. In this case once we close the allocators table and start pushing
+// to the events table we cannot push to the allocators table again.
+void ETDumpGen::check_ready_to_add_events() {
+  if (state_ != State::AddingEvents) {
+    ET_CHECK_MSG(
+        (state_ == State::AddingAllocators || state_ == State::BlockCreated),
+        "ETDumpGen in an invalid state. Cannot add new events now.");
+    if (state_ == State::AddingAllocators) {
+      etdump_RunData_allocators_end(builder_);
+    }
+    etdump_RunData_events_start(builder_);
+    state_ = State::AddingEvents;
+  }
+}
+
+EventTracerEntry ETDumpGen::start_profiling(
+    const char* name,
+    ChainID chain_id,
+    DebugHandle debug_handle) {
+  EventTracerEntry prof_entry;
+  prof_entry.event_id = name != nullptr ? create_string_entry(name) : -1;
+  prof_entry.delegate_event_id_type = DelegateDebugIdType::kNone;
+
+  if (chain_id == -1) {
+    prof_entry.chain_id = chain_id_;
+    prof_entry.debug_handle = debug_handle_;
+  } else {
+    prof_entry.chain_id = chain_id;
+    prof_entry.debug_handle = debug_handle;
+  }
+  prof_entry.start_time = et_pal_current_ticks();
+  return prof_entry;
+}
+
+// TODO: Update all occurrences of the ProfileEvent calls once the
+// EventTracerEntry struct is updated.
+EventTracerEntry ETDumpGen::start_profiling_delegate(
+    const char* name,
+    DebugHandle delegate_debug_index) {
+  ET_CHECK_MSG(
+      (name == nullptr) ^ (delegate_debug_index == -1),
+      "Only name or delegate_debug_index can be valid. Check DelegateMappingBuilder documentation for more details.");
+  check_ready_to_add_events();
+  EventTracerEntry prof_entry;
+  DelegateDebugIdType delegate_event_id_type =
+      name == nullptr ? DelegateDebugIdType::kInt : DelegateDebugIdType::kStr;
+  prof_entry.delegate_event_id_type = delegate_event_id_type;
+  prof_entry.chain_id = chain_id_;
+  prof_entry.debug_handle = debug_handle_;
+  prof_entry.event_id = delegate_debug_index == static_cast<unsigned int>(-1)
+      ? create_string_entry(name)
+      : delegate_debug_index;
+  prof_entry.start_time = et_pal_current_ticks();
+  return prof_entry;
+}
+
+void ETDumpGen::end_profiling_delegate(
+    EventTracerEntry event_tracer_entry,
+    const void* metadata,
+    size_t metadata_len) {
+  et_timestamp_t end_time = et_pal_current_ticks();
+  check_ready_to_add_events();
+
+  // Start building the ProfileEvent entry.
+  etdump_ProfileEvent_start(builder_);
+  etdump_ProfileEvent_start_time_add(builder_, event_tracer_entry.start_time);
+  etdump_ProfileEvent_end_time_add(builder_, end_time);
+  etdump_ProfileEvent_chain_index_add(builder_, chain_id_);
+  etdump_ProfileEvent_instruction_id_add(builder_, debug_handle_);
+  // Delegate debug identifier can either be of a string type or an integer
+  // type. If it's a string type then it's a value of type
+  // flatbuffers_string_ref_t type, whereas if it's an integer type then we
+  // write the integer value directly.
+  if (event_tracer_entry.delegate_event_id_type == DelegateDebugIdType::kInt) {
+    etdump_ProfileEvent_delegate_debug_id_int_add(
+        builder_, event_tracer_entry.event_id);
+  } else {
+    etdump_ProfileEvent_delegate_debug_id_str_add(
+        builder_, event_tracer_entry.event_id);
+  }
+  flatbuffers_uint8_vec_ref_t vec_ref = flatbuffers_uint8_vec_create_pe(
+      builder_, (const uint8_t*)metadata, metadata_len);
+  etdump_ProfileEvent_delegate_debug_metadata_add(builder_, vec_ref);
+  etdump_ProfileEvent_ref_t id = etdump_ProfileEvent_end(builder_);
+  etdump_RunData_events_push_start(builder_);
+  etdump_Event_profile_event_add(builder_, id);
+  etdump_RunData_events_push_end(builder_);
+}
+
+void ETDumpGen::log_profiling_delegate(
+    const char* name,
+    DebugHandle delegate_debug_index,
+    et_timestamp_t start_time,
+    et_timestamp_t end_time,
+    const void* metadata,
+    size_t metadata_len) {
+  ET_CHECK_MSG(
+      (name == nullptr) ^ (delegate_debug_index == -1),
+      "Only name or delegate_debug_index can be valid. Check DelegateMappingBuilder documentation for more details.");
+  check_ready_to_add_events();
+  int64_t string_id = name != nullptr ? create_string_entry(name) : -1;
+  etdump_ProfileEvent_start(builder_);
+  etdump_ProfileEvent_start_time_add(builder_, start_time);
+  etdump_ProfileEvent_end_time_add(builder_, end_time);
+  etdump_ProfileEvent_chain_index_add(builder_, chain_id_);
+  etdump_ProfileEvent_instruction_id_add(builder_, debug_handle_);
+  if (string_id == -1) {
+    etdump_ProfileEvent_delegate_debug_id_int_add(
+        builder_, delegate_debug_index);
+  } else {
+    etdump_ProfileEvent_delegate_debug_id_str_add(builder_, string_id);
+  }
+  flatbuffers_uint8_vec_ref_t vec_ref = flatbuffers_uint8_vec_create_pe(
+      builder_, (const uint8_t*)metadata, metadata_len);
+  etdump_ProfileEvent_delegate_debug_metadata_add(builder_, vec_ref);
+  etdump_ProfileEvent_ref_t id = etdump_ProfileEvent_end(builder_);
+  etdump_RunData_events_push_start(builder_);
+  etdump_Event_profile_event_add(builder_, id);
+  etdump_RunData_events_push_end(builder_);
+}
+
+void ETDumpGen::log_intermediate_output_delegate(
+    const char* name,
+    DebugHandle delegate_debug_index,
+    const Tensor& output) {
+  log_intermediate_output_delegate_helper(name, delegate_debug_index, output);
+}
+
+void ETDumpGen::log_intermediate_output_delegate(
+    const char* name,
+    DebugHandle delegate_debug_index,
+    const ArrayRef<Tensor> output) {
+  log_intermediate_output_delegate_helper(name, delegate_debug_index, output);
+}
+
+void ETDumpGen::log_intermediate_output_delegate(
+    const char* name,
+    DebugHandle delegate_debug_index,
+    const int& output) {
+  log_intermediate_output_delegate_helper(name, delegate_debug_index, output);
+}
+
+void ETDumpGen::log_intermediate_output_delegate(
+    const char* name,
+    DebugHandle delegate_debug_index,
+    const bool& output) {
+  log_intermediate_output_delegate_helper(name, delegate_debug_index, output);
+}
+
+void ETDumpGen::log_intermediate_output_delegate(
+    const char* name,
+    DebugHandle delegate_debug_index,
+    const double& output) {
+  log_intermediate_output_delegate_helper(name, delegate_debug_index, output);
+}
+
+template <typename T>
+void ETDumpGen::log_intermediate_output_delegate_helper(
+    const char* name,
+    DebugHandle delegate_debug_index,
+    const T& output) {
+  ET_CHECK_MSG(
+      (name == nullptr) ^ (delegate_debug_index == -1),
+      "Only name or delegate_debug_index can be valid. Check DelegateMappingBuilder documentation for more details.");
+  if (debug_buffer_.empty()) {
+    ET_CHECK_MSG(0, "Must pre-set debug buffer with set_debug_buffer()\n");
+    return;
+  }
+
+  check_ready_to_add_events();
+  int64_t string_id = name != nullptr ? create_string_entry(name) : -1;
+
+  etdump_DebugEvent_start(builder_);
+
+  etdump_DebugEvent_chain_index_add(builder_, chain_id_);
+  etdump_DebugEvent_instruction_id_add(builder_, debug_handle_);
+  if (string_id == -1) {
+    etdump_DebugEvent_delegate_debug_id_int_add(builder_, delegate_debug_index);
+  } else {
+    etdump_DebugEvent_delegate_debug_id_str_add(builder_, string_id);
+  }
+
+  // Check the type of `output` then call the corresponding logging functions
+  if constexpr (std::is_same<T, Tensor>::value) {
+    long offset = copy_tensor_to_debug_buffer(output);
+    etdump_Tensor_ref_t tensor_ref = add_tensor_entry(builder_, output, offset);
+
+    etdump_Value_start(builder_);
+    etdump_Value_val_add(builder_, etdump_ValueType_Tensor);
+    etdump_Value_tensor_add(builder_, tensor_ref);
+
+  } else if constexpr (std::is_same<T, ArrayRef<Tensor>>::value) {
+    etdump_Tensor_vec_start(builder_);
+    for (size_t i = 0; i < output.size(); ++i) {
+      long offset = copy_tensor_to_debug_buffer(output[i]);
+      etdump_Tensor_vec_push(
+          builder_, add_tensor_entry(builder_, output[i], offset));
+    }
+    etdump_Tensor_vec_ref_t tensor_vec_ref = etdump_Tensor_vec_end(builder_);
+    etdump_TensorList_ref_t tensor_list_ref =
+        etdump_TensorList_create(builder_, tensor_vec_ref);
+
+    etdump_Value_start(builder_);
+    etdump_Value_val_add(builder_, etdump_ValueType_TensorList);
+    etdump_Value_tensor_list_add(builder_, tensor_list_ref);
+  } else if constexpr (std::is_same<T, int>::value) {
+    auto int_ref = etdump_Int_create(builder_, output);
+
+    etdump_Value_start(builder_);
+    etdump_Value_val_add(builder_, etdump_ValueType_Int);
+    etdump_Value_int_value_add(builder_, int_ref);
+  } else if constexpr (std::is_same<T, double>::value) {
+    auto double_ref = etdump_Double_create(builder_, output);
+
+    etdump_Value_start(builder_);
+    etdump_Value_double_value_add(builder_, double_ref);
+    etdump_Value_val_add(builder_, etdump_ValueType_Double);
+  } else if constexpr (std::is_same<T, bool>::value) {
+    flatbuffers_bool_t flatbuffer_bool_val =
+        output ? FLATBUFFERS_TRUE : FLATBUFFERS_FALSE;
+    auto bool_ref = etdump_Bool_create(builder_, flatbuffer_bool_val);
+
+    etdump_Value_start(builder_);
+    etdump_Value_bool_value_add(builder_, bool_ref);
+    etdump_Value_val_add(builder_, etdump_ValueType_Bool);
+  } else {
+    ET_CHECK_MSG(0, "Unsupported output type for intermediate logging\n");
+  }
+
+  auto value_ref = etdump_Value_end(builder_);
+  etdump_DebugEvent_debug_entry_add(builder_, value_ref);
+
+  etdump_DebugEvent_ref_t debug_event = etdump_DebugEvent_end(builder_);
+
+  etdump_RunData_events_push_start(builder_);
+  etdump_Event_debug_event_add(builder_, debug_event);
+  etdump_RunData_events_push_end(builder_);
+}
+
+void ETDumpGen::end_profiling(EventTracerEntry prof_entry) {
+  et_timestamp_t end_time = et_pal_current_ticks();
+  ET_CHECK_MSG(
+      prof_entry.delegate_event_id_type == DelegateDebugIdType::kNone,
+      "Delegate events must use end_profiling_delegate to mark the end of a delegate profiling event.");
+  check_ready_to_add_events();
+
+  etdump_ProfileEvent_start(builder_);
+  etdump_ProfileEvent_start_time_add(builder_, prof_entry.start_time);
+  etdump_ProfileEvent_end_time_add(builder_, end_time);
+  etdump_ProfileEvent_chain_index_add(builder_, prof_entry.chain_id);
+  etdump_ProfileEvent_instruction_id_add(builder_, prof_entry.debug_handle);
+  if (prof_entry.event_id != -1) {
+    etdump_ProfileEvent_name_add(builder_, prof_entry.event_id);
+  }
+  etdump_ProfileEvent_ref_t id = etdump_ProfileEvent_end(builder_);
+  etdump_RunData_events_push_start(builder_);
+  etdump_Event_profile_event_add(builder_, id);
+  etdump_RunData_events_push_end(builder_);
+}
+
+AllocatorID ETDumpGen::track_allocator(const char* name) {
+  ET_CHECK_MSG(
+      (state_ == State::BlockCreated || state_ == State::AddingAllocators),
+      "Allocators can only be added immediately after a new block is created and before any events are added.");
+  if (state_ != State::AddingAllocators) {
+    etdump_RunData_allocators_start(builder_);
+    state_ = State::AddingAllocators;
+  }
+  flatbuffers_string_ref_t ref = create_string_entry(name);
+  etdump_RunData_allocators_push_create(builder_, ref);
+  return etdump_RunData_allocators_reserved_len(builder_);
+}
+
+void ETDumpGen::track_allocation(
+    AllocatorID allocator_id,
+    size_t allocation_size) {
+  check_ready_to_add_events();
+
+  etdump_RunData_events_push_start(builder_);
+  etdump_Event_allocation_event_create(builder_, allocator_id, allocation_size);
+  etdump_RunData_events_push_end(builder_);
+}
+
+ETDumpResult ETDumpGen::get_etdump_data() {
+  ETDumpResult result;
+  if (state_ == State::AddingEvents) {
+    etdump_RunData_events_end(builder_);
+  } else if (state_ == State::AddingAllocators) {
+    etdump_RunData_allocators_end(builder_);
+  } else if (state_ == State::Init) {
+    result.buf = nullptr;
+    result.size = 0;
+    return result;
+  }
+  etdump_ETDump_run_data_push_end(builder_);
+  etdump_ETDump_run_data_end(builder_);
+  etdump_ETDump_ref_t root = etdump_ETDump_end(builder_);
+  flatbuffers_buffer_end(builder_, root);
+  if (num_blocks_ == 0) {
+    result = {nullptr, 0};
+  } else {
+    if (alloc_.data) {
+      result.buf = alloc_.front_cursor;
+      result.size = alloc_.out_size - alloc_.front_left;
+    } else {
+      result.buf =
+          flatcc_builder_finalize_aligned_buffer(builder_, &result.size);
+    }
+  }
+  state_ = State::Done;
+  return result;
+}
+
+void ETDumpGen::set_debug_buffer(Span<uint8_t> buffer) {
+  debug_buffer_ = buffer;
+}
+
+size_t ETDumpGen::copy_tensor_to_debug_buffer(exec_aten::Tensor tensor) {
+  if (tensor.nbytes() == 0) {
+    return static_cast<size_t>(-1);
+  }
+  uint8_t* offset_ptr =
+      alignPointer(debug_buffer_.data() + debug_buffer_offset_, 64);
+  debug_buffer_offset_ = (offset_ptr - debug_buffer_.data()) + tensor.nbytes();
+  ET_CHECK_MSG(
+      debug_buffer_offset_ <= debug_buffer_.size(),
+      "Ran out of space to store intermediate outputs.");
+  memcpy(offset_ptr, tensor.const_data_ptr(), tensor.nbytes());
+  return (size_t)(offset_ptr - debug_buffer_.data());
+}
+
+void ETDumpGen::log_evalue(const EValue& evalue, LoggedEValueType evalue_type) {
+  if (debug_buffer_.empty()) {
+    return;
+  }
+
+  check_ready_to_add_events();
+
+  etdump_DebugEvent_start(builder_);
+
+  etdump_DebugEvent_chain_index_add(builder_, chain_id_);
+  etdump_DebugEvent_instruction_id_add(builder_, debug_handle_);
+
+  switch (evalue.tag) {
+    case Tag::Tensor: {
+      exec_aten::Tensor tensor = evalue.toTensor();
+      long offset = copy_tensor_to_debug_buffer(tensor);
+      etdump_Tensor_ref_t tensor_ref =
+          add_tensor_entry(builder_, tensor, offset);
+
+      etdump_Value_start(builder_);
+      etdump_Value_val_add(builder_, etdump_ValueType_Tensor);
+      etdump_Value_tensor_add(builder_, tensor_ref);
+      if (evalue_type == LoggedEValueType::kProgramOutput) {
+        auto bool_ref = etdump_Bool_create(builder_, FLATBUFFERS_TRUE);
+        etdump_Value_output_add(builder_, bool_ref);
+      }
+      auto value_ref = etdump_Value_end(builder_);
+
+      etdump_DebugEvent_debug_entry_add(builder_, value_ref);
+      break;
+    }
+
+    case Tag::ListTensor: {
+      exec_aten::ArrayRef<exec_aten::Tensor> tensors = evalue.toTensorList();
+      etdump_Tensor_vec_start(builder_);
+      for (size_t i = 0; i < tensors.size(); ++i) {
+        long offset = copy_tensor_to_debug_buffer(tensors[i]);
+        etdump_Tensor_vec_push(
+            builder_, add_tensor_entry(builder_, tensors[i], offset));
+      }
+      etdump_Tensor_vec_ref_t tensor_vec_ref = etdump_Tensor_vec_end(builder_);
+      etdump_TensorList_ref_t tensor_list_ref =
+          etdump_TensorList_create(builder_, tensor_vec_ref);
+
+      etdump_Value_start(builder_);
+      etdump_Value_val_add(builder_, etdump_ValueType_TensorList);
+      etdump_Value_tensor_list_add(builder_, tensor_list_ref);
+      if (evalue_type == LoggedEValueType::kProgramOutput) {
+        auto bool_ref = etdump_Bool_create(builder_, FLATBUFFERS_TRUE);
+        etdump_Value_output_add(builder_, bool_ref);
+      }
+      auto value_ref = etdump_Value_end(builder_);
+
+      etdump_DebugEvent_debug_entry_add(builder_, value_ref);
+      break;
+    }
+
+    case Tag::Int: {
+      int64_t val = evalue.toInt();
+      auto int_ref = etdump_Int_create(builder_, val);
+
+      etdump_Value_start(builder_);
+      etdump_Value_val_add(builder_, etdump_ValueType_Int);
+      etdump_Value_int_value_add(builder_, int_ref);
+      auto value_ref = etdump_Value_end(builder_);
+      etdump_DebugEvent_debug_entry_add(builder_, value_ref);
+
+      break;
+    }
+
+    case Tag::Double: {
+      double val = evalue.toDouble();
+      auto double_ref = etdump_Double_create(builder_, val);
+
+      etdump_Value_start(builder_);
+      etdump_Value_double_value_add(builder_, double_ref);
+      etdump_Value_val_add(builder_, etdump_ValueType_Double);
+      auto value_ref = etdump_Value_end(builder_);
+      etdump_DebugEvent_debug_entry_add(builder_, value_ref);
+
+      break;
+    }
+
+    case Tag::Bool: {
+      flatbuffers_bool_t flatbuffer_bool_val =
+          evalue.toBool() ? FLATBUFFERS_TRUE : FLATBUFFERS_FALSE;
+      auto bool_ref = etdump_Bool_create(builder_, flatbuffer_bool_val);
+
+      etdump_Value_start(builder_);
+      etdump_Value_bool_value_add(builder_, bool_ref);
+      etdump_Value_val_add(builder_, etdump_ValueType_Bool);
+      auto value_ref = etdump_Value_end(builder_);
+      etdump_DebugEvent_debug_entry_add(builder_, value_ref);
+
+      break;
+    }
+
+    default:
+      ET_CHECK_MSG(
+          0,
+          "This EValue type = %d is not yet supported for logging\n",
+          static_cast<int>(evalue.tag));
+      break;
+  }
+
+  etdump_DebugEvent_ref_t debug_event = etdump_DebugEvent_end(builder_);
+
+  etdump_RunData_events_push_start(builder_);
+  etdump_Event_debug_event_add(builder_, debug_event);
+  etdump_RunData_events_push_end(builder_);
+}
+
+size_t ETDumpGen::get_num_blocks() {
+  return num_blocks_;
+}
+
+bool ETDumpGen::is_static_etdump() {
+  return alloc_.data != nullptr;
+}
+
+} // namespace etdump
+} // namespace executorch
diff --git a/devtools/etdump/etdump_flatcc.h b/devtools/etdump/etdump_flatcc.h
new file mode 100644
index 0000000000..0bd891a097
--- /dev/null
+++ b/devtools/etdump/etdump_flatcc.h
@@ -0,0 +1,187 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <cstdint>
+
+#include <executorch/runtime/core/event_tracer.h>
+#include <executorch/runtime/core/span.h>
+#include <executorch/runtime/platform/platform.h>
+
+#define ETDUMP_VERSION 0
+
+struct flatcc_builder;
+
+namespace executorch {
+namespace etdump {
+
+namespace internal {
+struct ETDumpStaticAllocator {
+  ETDumpStaticAllocator() = default;
+
+  void
+  set_buffer(uint8_t* buffer, size_t total_buf_size, size_t alloc_buf_size) {
+    data = buffer;
+    data_size = alloc_buf_size;
+    allocated = 0;
+    out_size = total_buf_size - alloc_buf_size;
+    front_cursor = &buffer[alloc_buf_size];
+    front_left = out_size / 2;
+  }
+
+  // Pointer to backing buffer to allocate from.
+  uint8_t* data{nullptr};
+
+  // Size of backing buffer.
+  size_t data_size{0};
+
+  // Current allocation offset.
+  size_t allocated{0};
+
+  // Size of build buffer.
+  size_t out_size{0};
+
+  // Pointer to front of build buffer.
+  uint8_t* front_cursor{nullptr};
+
+  // Bytes left in front of front_cursor.
+  size_t front_left{0};
+};
+} // namespace internal
+
+struct ETDumpResult {
+  void* buf;
+  size_t size;
+};
+
+class ETDumpGen : public ::executorch::runtime::EventTracer {
+ public:
+  ETDumpGen(::executorch::runtime::Span<uint8_t> buffer = {nullptr, (size_t)0});
+  ~ETDumpGen() override;
+  void clear_builder();
+
+  void create_event_block(const char* name) override;
+  virtual ::executorch::runtime::EventTracerEntry start_profiling(
+      const char* name,
+      ::executorch::runtime::ChainID chain_id = -1,
+      ::executorch::runtime::DebugHandle debug_handle = 0) override;
+  virtual void end_profiling(
+      ::executorch::runtime::EventTracerEntry prof_entry) override;
+  virtual ::executorch::runtime::EventTracerEntry start_profiling_delegate(
+      const char* name,
+      ::executorch::runtime::DebugHandle delegate_debug_index) override;
+  virtual void end_profiling_delegate(
+      ::executorch::runtime::EventTracerEntry prof_entry,
+      const void* metadata,
+      size_t metadata_len) override;
+  virtual void log_profiling_delegate(
+      const char* name,
+      ::executorch::runtime::DebugHandle delegate_debug_index,
+      et_timestamp_t start_time,
+      et_timestamp_t end_time,
+      const void* metadata,
+      size_t metadata_len) override;
+  virtual void track_allocation(
+      ::executorch::runtime::AllocatorID id,
+      size_t size) override;
+  virtual ::executorch::runtime::AllocatorID track_allocator(
+      const char* name) override;
+  virtual void log_evalue(
+      const ::executorch::runtime::EValue& evalue,
+      ::executorch::runtime::LoggedEValueType evalue_type =
+          ::executorch::runtime::LoggedEValueType::kIntermediateOutput)
+      override;
+  /**
+   * Log an intermediate tensor output from a delegate.
+   */
+  virtual void log_intermediate_output_delegate(
+      const char* name,
+      ::executorch::runtime::DebugHandle delegate_debug_index,
+      const exec_aten::Tensor& output) override;
+
+  /**
+   * Log an intermediate tensor array output from a delegate.
+   */
+  virtual void log_intermediate_output_delegate(
+      const char* name,
+      ::executorch::runtime::DebugHandle delegate_debug_index,
+      const ::executorch::runtime::ArrayRef<exec_aten::Tensor> output) override;
+
+  /**
+   * Log an intermediate int output from a delegate.
+   */
+  virtual void log_intermediate_output_delegate(
+      const char* name,
+      ::executorch::runtime::DebugHandle delegate_debug_index,
+      const int& output) override;
+
+  /**
+   * Log an intermediate bool output from a delegate.
+   */
+  virtual void log_intermediate_output_delegate(
+      const char* name,
+      ::executorch::runtime::DebugHandle delegate_debug_index,
+      const bool& output) override;
+
+  /**
+   * Log an intermediate double output from a delegate.
+   */
+  virtual void log_intermediate_output_delegate(
+      const char* name,
+      ::executorch::runtime::DebugHandle delegate_debug_index,
+      const double& output) override;
+  void set_debug_buffer(::executorch::runtime::Span<uint8_t> buffer);
+  ETDumpResult get_etdump_data();
+  size_t get_num_blocks();
+  bool is_static_etdump();
+  void reset();
+
+ private:
+  enum class State {
+    Init,
+    BlockCreated,
+    AddingAllocators,
+    AddingEvents,
+    Done,
+  };
+
+  void check_ready_to_add_events();
+  int64_t create_string_entry(const char* name);
+  size_t copy_tensor_to_debug_buffer(exec_aten::Tensor tensor);
+
+  /**
+   * Templated helper function used to log various types of intermediate output.
+   * Supported types include tensor, tensor array, int, bool and double.
+   */
+  template <typename T>
+  void log_intermediate_output_delegate_helper(
+      const char* name,
+      ::executorch::runtime::DebugHandle delegate_debug_index,
+      const T& output);
+
+  struct flatcc_builder* builder_;
+  size_t num_blocks_ = 0;
+  ::executorch::runtime::Span<uint8_t> debug_buffer_;
+  size_t debug_buffer_offset_ = 0;
+  int bundled_input_index_ = -1;
+  State state_ = State::Init;
+  struct internal::ETDumpStaticAllocator alloc_;
+};
+
+} // namespace etdump
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using etdump_result = ::executorch::etdump::ETDumpResult;
+using ::executorch::etdump::ETDumpGen;
+} // namespace executor
+} // namespace torch
diff --git a/sdk/etdump/etdump_schema_flatcc.fbs b/devtools/etdump/etdump_schema_flatcc.fbs
similarity index 96%
rename from sdk/etdump/etdump_schema_flatcc.fbs
rename to devtools/etdump/etdump_schema_flatcc.fbs
index d90d278f5f..1244ebd4ae 100644
--- a/sdk/etdump/etdump_schema_flatcc.fbs
+++ b/devtools/etdump/etdump_schema_flatcc.fbs
@@ -76,6 +76,10 @@ table DebugEvent {
 
   // String based delegate debug identifier.
   delegate_debug_id_str:string;
+
+  // Name assigned to this debug event by the runtime. If it is an operator
+  // call this will just be the name of the operator that was executed.
+  name:string;
 }
 
 // All the details pertaining to an allocation done in the runtime. The main
diff --git a/sdk/etdump/scalar_type.fbs b/devtools/etdump/scalar_type.fbs
similarity index 97%
rename from sdk/etdump/scalar_type.fbs
rename to devtools/etdump/scalar_type.fbs
index fdfe550e9e..a8da080c67 100644
--- a/sdk/etdump/scalar_type.fbs
+++ b/devtools/etdump/scalar_type.fbs
@@ -14,6 +14,7 @@ enum ScalarType : byte {
   SHORT = 2,
   INT = 3,
   LONG = 4,
+  HALF = 5,
   FLOAT = 6,
   DOUBLE = 7,
   BOOL = 11,
@@ -24,7 +25,6 @@ enum ScalarType : byte {
   QUINT4X2 = 16,
   QUINT2X4 = 17,
   // Types currently not implemented.
-  // Half = 5,
   // COMPLEXHALF = 8,
   // COMPLEXFLOAT = 9,
   // COMPLEXDOUBLE = 10,
diff --git a/sdk/etdump/schema_flatcc.py b/devtools/etdump/schema_flatcc.py
similarity index 96%
rename from sdk/etdump/schema_flatcc.py
rename to devtools/etdump/schema_flatcc.py
index eaad876a53..404fa1c975 100644
--- a/sdk/etdump/schema_flatcc.py
+++ b/devtools/etdump/schema_flatcc.py
@@ -7,7 +7,7 @@
 # pyre-strict
 """
 This file is the python representation of the schema contained in
-executorch/sdk/etdump/etdump_schema.fbs. Any changes made to that
+executorch/devtools/etdump/etdump_schema.fbs. Any changes made to that
 flatbuffer schema should accordingly be reflected here also.
 """
 
@@ -93,6 +93,7 @@ class Value:
 
 @dataclass
 class DebugEvent:
+    name: Optional[str]
     chain_index: int
     instruction_id: int
     delegate_debug_id_int: Optional[int]
diff --git a/sdk/etdump/serialize.py b/devtools/etdump/serialize.py
similarity index 98%
rename from sdk/etdump/serialize.py
rename to devtools/etdump/serialize.py
index 0cc6682bfc..4ed63bc385 100644
--- a/sdk/etdump/serialize.py
+++ b/devtools/etdump/serialize.py
@@ -11,11 +11,11 @@
 import tempfile
 
 import pkg_resources
+from executorch.devtools.etdump.schema_flatcc import ETDumpFlatCC
 
 from executorch.exir._serialize._dataclass import _DataclassEncoder, _json_to_dataclass
 
 from executorch.exir._serialize._flatbuffer import _flatc_compile, _flatc_decompile
-from executorch.sdk.etdump.schema_flatcc import ETDumpFlatCC
 
 # The prefix of schema files used for etdump
 ETDUMP_FLATCC_SCHEMA_NAME = "etdump_schema_flatcc"
diff --git a/devtools/etdump/targets.bzl b/devtools/etdump/targets.bzl
new file mode 100644
index 0000000000..ddbb35eab7
--- /dev/null
+++ b/devtools/etdump/targets.bzl
@@ -0,0 +1,116 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+SCALAR_TYPE_STEM = "scalar_type"
+SCALAR_TYPE = SCALAR_TYPE_STEM + ".fbs"
+
+# flatcc
+ETDUMP_STEM_FLATCC = "etdump_schema_flatcc"
+ETDUMP_SCHEMA_FLATCC = ETDUMP_STEM_FLATCC + ".fbs"
+ETDUMP_GEN_RULE_NAME_FLATCC = "generate_etdump" + "_flatcc"
+
+ETDUMP_SCHEMA_FLATCC_BUILDER = ETDUMP_STEM_FLATCC + "_builder.h"
+ETDUMP_SCHEMA_FLATCC_READER = ETDUMP_STEM_FLATCC + "_reader.h"
+ETDUMP_SCHEMA_FLATCC_VERIFIER = ETDUMP_STEM_FLATCC + "_verifier.h"
+
+SCALAR_TYPE_BUILDER = SCALAR_TYPE_STEM + "_builder.h"
+SCALAR_TYPE_READER = SCALAR_TYPE_STEM + "_reader.h"
+SCALAR_TYPE_VERIFIER = SCALAR_TYPE_STEM + "_verifier.h"
+
+FLATBUFFERS_COMMON_STEM = "flatbuffers_common"
+FLATBUFFERS_COMMON_BUILDER = FLATBUFFERS_COMMON_STEM + "_builder.h"
+FLATBUFFERS_COMMON_READER = FLATBUFFERS_COMMON_STEM + "_reader.h"
+
+def generate_schema_header_flatcc(rule_name, srcs, headers, default_headers):
+    """
+    Generate header files for ETDump schema
+    """
+    runtime.genrule(
+        name = rule_name,
+        srcs = srcs,
+        outs = {header: [header] for header in headers},
+        default_outs = default_headers,
+        cmd = " ".join([
+            "$(exe {})".format(runtime.external_dep_location("flatcc-cli")),
+            "-cwr",
+            "-o ${OUT}",
+            "${SRCS}",
+            # Let our infra know that the file was generated.
+            " ".join(["&& echo // @" + "generated >> ${OUT}/" + header for header in headers]),
+        ]),
+    )
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+    runtime.export_file(
+        name = ETDUMP_SCHEMA_FLATCC,
+        visibility = ["@EXECUTORCH_CLIENTS"],
+    )
+
+    generate_schema_header_flatcc(
+        ETDUMP_GEN_RULE_NAME_FLATCC,
+        [ETDUMP_SCHEMA_FLATCC, SCALAR_TYPE],
+        [
+            ETDUMP_SCHEMA_FLATCC_BUILDER,
+            ETDUMP_SCHEMA_FLATCC_READER,
+            ETDUMP_SCHEMA_FLATCC_VERIFIER,
+            SCALAR_TYPE_BUILDER,
+            SCALAR_TYPE_READER,
+            SCALAR_TYPE_VERIFIER,
+            FLATBUFFERS_COMMON_BUILDER,
+            FLATBUFFERS_COMMON_READER,
+        ],
+        [
+            ETDUMP_SCHEMA_FLATCC_BUILDER,
+            ETDUMP_SCHEMA_FLATCC_READER,
+            ETDUMP_SCHEMA_FLATCC_VERIFIER,
+        ],
+    )
+
+    runtime.cxx_library(
+        name = ETDUMP_STEM_FLATCC,
+        srcs = [],
+        visibility = ["//executorch/...", "@EXECUTORCH_CLIENTS"],
+        exported_headers = {
+            ETDUMP_SCHEMA_FLATCC_BUILDER: ":{}[{}]".format(ETDUMP_GEN_RULE_NAME_FLATCC, ETDUMP_SCHEMA_FLATCC_BUILDER),
+            ETDUMP_SCHEMA_FLATCC_READER: ":{}[{}]".format(ETDUMP_GEN_RULE_NAME_FLATCC, ETDUMP_SCHEMA_FLATCC_READER),
+            ETDUMP_SCHEMA_FLATCC_VERIFIER: ":{}[{}]".format(ETDUMP_GEN_RULE_NAME_FLATCC, ETDUMP_SCHEMA_FLATCC_VERIFIER),
+            SCALAR_TYPE_BUILDER: ":{}[{}]".format(ETDUMP_GEN_RULE_NAME_FLATCC, SCALAR_TYPE_BUILDER),
+            SCALAR_TYPE_READER: ":{}[{}]".format(ETDUMP_GEN_RULE_NAME_FLATCC, SCALAR_TYPE_READER),
+            SCALAR_TYPE_VERIFIER: ":{}[{}]".format(ETDUMP_GEN_RULE_NAME_FLATCC, SCALAR_TYPE_VERIFIER),
+            FLATBUFFERS_COMMON_BUILDER: ":{}[{}]".format(ETDUMP_GEN_RULE_NAME_FLATCC, FLATBUFFERS_COMMON_BUILDER),
+            FLATBUFFERS_COMMON_READER: ":{}[{}]".format(ETDUMP_GEN_RULE_NAME_FLATCC, FLATBUFFERS_COMMON_READER),
+        },
+        exported_external_deps = ["flatccrt"],
+    )
+
+    for aten_mode in (True, False):
+        aten_suffix = "_aten" if aten_mode else ""
+        runtime.cxx_library(
+            name = "etdump_flatcc" + aten_suffix,
+            srcs = [
+                "etdump_flatcc.cpp",
+                "emitter.cpp",
+            ],
+            headers = [
+                "emitter.h",
+            ],
+            exported_headers = [
+                "etdump_flatcc.h",
+            ],
+            deps = [
+                "//executorch/runtime/platform:platform",
+            ],
+            exported_deps = [
+                ":etdump_schema_flatcc",
+                "//executorch/runtime/core:event_tracer" + aten_suffix,
+                "//executorch/runtime/core/exec_aten/util:scalar_type_util" + aten_suffix,
+            ],
+            visibility = [
+                "//executorch/...",
+                "@EXECUTORCH_CLIENTS",
+            ],
+        )
diff --git a/sdk/etdump/tests/CMakeLists.txt b/devtools/etdump/tests/CMakeLists.txt
similarity index 100%
rename from sdk/etdump/tests/CMakeLists.txt
rename to devtools/etdump/tests/CMakeLists.txt
diff --git a/devtools/etdump/tests/TARGETS b/devtools/etdump/tests/TARGETS
new file mode 100644
index 0000000000..51e807891d
--- /dev/null
+++ b/devtools/etdump/tests/TARGETS
@@ -0,0 +1,18 @@
+load("@fbcode_macros//build_defs:python_unittest.bzl", "python_unittest")
+load(":targets.bzl", "define_common_targets")
+
+oncall("executorch")
+
+define_common_targets()
+
+python_unittest(
+    name = "serialize_test",
+    srcs = [
+        "serialize_test.py",
+    ],
+    deps = [
+        "//executorch/devtools/etdump:schema_flatcc",
+        "//executorch/devtools/etdump:serialize",
+        "//executorch/exir/_serialize:lib",
+    ],
+)
diff --git a/sdk/etdump/tests/etdump_test.cpp b/devtools/etdump/tests/etdump_test.cpp
similarity index 94%
rename from sdk/etdump/tests/etdump_test.cpp
rename to devtools/etdump/tests/etdump_test.cpp
index d30bd9a303..b750e21eb0 100644
--- a/sdk/etdump/tests/etdump_test.cpp
+++ b/devtools/etdump/tests/etdump_test.cpp
@@ -9,19 +9,31 @@
 #include <gtest/gtest.h>
 #include <cstdio>
 
+#include <executorch/devtools/etdump/etdump_flatcc.h>
+#include <executorch/devtools/etdump/etdump_schema_flatcc_builder.h>
+#include <executorch/devtools/etdump/etdump_schema_flatcc_reader.h>
 #include <executorch/runtime/core/exec_aten/testing_util/tensor_factory.h>
 #include <executorch/runtime/core/span.h>
 #include <executorch/runtime/platform/runtime.h>
-#include <executorch/sdk/etdump/etdump_flatcc.h>
-#include <executorch/sdk/etdump/etdump_schema_flatcc_builder.h>
-#include <executorch/sdk/etdump/etdump_schema_flatcc_reader.h>
 #include <executorch/test/utils/DeathTest.h>
 #include <cstdint>
 #include <cstring>
 #include <memory>
 
-namespace torch {
-namespace executor {
+using ::exec_aten::ScalarType;
+using ::exec_aten::Tensor;
+using ::executorch::etdump::ETDumpGen;
+using ::executorch::etdump::ETDumpResult;
+using ::executorch::runtime::AllocatorID;
+using ::executorch::runtime::ArrayRef;
+using ::executorch::runtime::BoxedEvalueList;
+using ::executorch::runtime::DelegateDebugIdType;
+using ::executorch::runtime::EValue;
+using ::executorch::runtime::EventTracerEntry;
+using ::executorch::runtime::LoggedEValueType;
+using ::executorch::runtime::Span;
+using ::executorch::runtime::Tag;
+using ::executorch::runtime::testing::TensorFactory;
 
 class ProfilerETDumpTest : public ::testing::Test {
  protected:
@@ -49,7 +61,7 @@ TEST_F(ProfilerETDumpTest, SingleProfileEvent) {
     EventTracerEntry entry = etdump_gen[i]->start_profiling("test_event", 0, 1);
     etdump_gen[i]->end_profiling(entry);
 
-    etdump_result result = etdump_gen[i]->get_etdump_data();
+    ETDumpResult result = etdump_gen[i]->get_etdump_data();
     ASSERT_TRUE(result.buf != nullptr);
     ASSERT_TRUE(result.size != 0);
 
@@ -105,7 +117,7 @@ TEST_F(ProfilerETDumpTest, EmptyBlocks) {
         etdump_gen[i]->start_profiling("test_event_1", 0, 1);
     etdump_gen[i]->end_profiling(entry);
 
-    etdump_result result = etdump_gen[i]->get_etdump_data();
+    ETDumpResult result = etdump_gen[i]->get_etdump_data();
     ASSERT_TRUE(result.buf != nullptr);
     ASSERT_TRUE(result.size != 0);
 
@@ -160,7 +172,7 @@ TEST_F(ProfilerETDumpTest, AllocationEvents) {
 
 TEST_F(ProfilerETDumpTest, DebugEvent) {
   for (size_t i = 0; i < 2; i++) {
-    testing::TensorFactory<ScalarType::Float> tf;
+    TensorFactory<ScalarType::Float> tf;
     EValue evalue(tf.ones({3, 2}));
 
     etdump_gen[i]->create_event_block("test_block");
@@ -189,7 +201,7 @@ TEST_F(ProfilerETDumpTest, DebugEvent) {
 
 TEST_F(ProfilerETDumpTest, DebugEventTensorList) {
   for (size_t i = 0; i < 2; i++) {
-    testing::TensorFactory<ScalarType::Int> tf;
+    TensorFactory<ScalarType::Int> tf;
     exec_aten::Tensor storage[2] = {tf.ones({3, 2}), tf.ones({3, 2})};
     EValue evalue_1(storage[0]);
     EValue evalue_2(storage[1]);
@@ -212,7 +224,7 @@ TEST_F(ProfilerETDumpTest, DebugEventTensorList) {
 }
 
 TEST_F(ProfilerETDumpTest, VerifyLogging) {
-  testing::TensorFactory<ScalarType::Float> tf;
+  TensorFactory<ScalarType::Float> tf;
   EValue evalue(tf.ones({3, 2}));
 
   for (size_t i = 0; i < 2; i++) {
@@ -225,7 +237,7 @@ TEST_F(ProfilerETDumpTest, VerifyLogging) {
     etdump_gen[i]->log_evalue(evalue);
     etdump_gen[i]->log_evalue(evalue, LoggedEValueType::kProgramOutput);
 
-    etdump_result result = etdump_gen[i]->get_etdump_data();
+    ETDumpResult result = etdump_gen[i]->get_etdump_data();
     ASSERT_TRUE(result.buf != nullptr);
     ASSERT_TRUE(result.size != 0);
 
@@ -297,7 +309,7 @@ TEST_F(ProfilerETDumpTest, MultipleBlocksWithEvents) {
     entry = etdump_gen[i]->start_profiling("test_event", 0, 1);
     etdump_gen[i]->end_profiling(entry);
 
-    etdump_result result = etdump_gen[i]->get_etdump_data();
+    ETDumpResult result = etdump_gen[i]->get_etdump_data();
     ASSERT_TRUE(result.buf != nullptr);
     ASSERT_TRUE(result.size != 0);
 
@@ -363,7 +375,7 @@ TEST_F(ProfilerETDumpTest, VerifyData) {
     entry = etdump_gen[i]->start_profiling("test_event2", 0, 1);
     etdump_gen[i]->end_profiling(entry);
 
-    etdump_result result = etdump_gen[i]->get_etdump_data();
+    ETDumpResult result = etdump_gen[i]->get_etdump_data();
     ASSERT_TRUE(result.buf != nullptr);
     ASSERT_TRUE(result.size != 0);
 
@@ -421,7 +433,7 @@ TEST_F(ProfilerETDumpTest, LogDelegateIntermediateOutput) {
     Span<uint8_t> buffer((uint8_t*)ptr, 2048);
 
     etdump_gen[i]->create_event_block("test_block");
-    testing::TensorFactory<ScalarType::Float> tf;
+    TensorFactory<ScalarType::Float> tf;
 
     ET_EXPECT_DEATH(
         etdump_gen[i]->log_intermediate_output_delegate(
@@ -462,7 +474,7 @@ TEST_F(ProfilerETDumpTest, LogDelegateIntermediateOutput) {
         static_cast<torch::executor::DebugHandle>(-1),
         true);
 
-    etdump_result result = etdump_gen[i]->get_etdump_data();
+    ETDumpResult result = etdump_gen[i]->get_etdump_data();
     ASSERT_TRUE(result.buf != nullptr);
     ASSERT_TRUE(result.size != 0);
 
@@ -474,7 +486,7 @@ TEST_F(ProfilerETDumpTest, LogDelegateIntermediateOutput) {
 }
 
 TEST_F(ProfilerETDumpTest, VerifyDelegateIntermediateLogging) {
-  testing::TensorFactory<ScalarType::Float> tf;
+  TensorFactory<ScalarType::Float> tf;
   EValue evalue(tf.ones({3, 2}));
 
   for (size_t i = 0; i < 2; i++) {
@@ -492,7 +504,7 @@ TEST_F(ProfilerETDumpTest, VerifyDelegateIntermediateLogging) {
     etdump_gen[i]->log_intermediate_output_delegate(
         nullptr, 258, tf.ones({5, 6}));
 
-    etdump_result result = etdump_gen[i]->get_etdump_data();
+    ETDumpResult result = etdump_gen[i]->get_etdump_data();
     ASSERT_TRUE(result.buf != nullptr);
     ASSERT_TRUE(result.size != 0);
 
@@ -603,7 +615,7 @@ TEST_F(ProfilerETDumpTest, LogDelegateEvents) {
         etdump_gen[i]->end_profiling(entry),
         "Delegate events must use end_profiling_delegate to mark the end of a delegate profiling event.");
 
-    etdump_result result = etdump_gen[i]->get_etdump_data();
+    ETDumpResult result = etdump_gen[i]->get_etdump_data();
     ASSERT_TRUE(result.buf != nullptr);
     ASSERT_TRUE(result.size != 0);
 
@@ -681,7 +693,7 @@ TEST_F(ProfilerETDumpTest, WriteAfterGetETDumpData) {
           etdump_gen[i]->start_profiling("test_event", 0, 1);
       etdump_gen[i]->end_profiling(entry);
 
-      etdump_result result = etdump_gen[i]->get_etdump_data();
+      ETDumpResult result = etdump_gen[i]->get_etdump_data();
       ASSERT_TRUE(result.buf != nullptr);
       ASSERT_TRUE(result.size != 0);
 
@@ -712,6 +724,3 @@ TEST_F(ProfilerETDumpTest, WriteAfterGetETDumpData) {
     }
   }
 }
-
-} // namespace executor
-} // namespace torch
diff --git a/sdk/etdump/tests/serialize_test.py b/devtools/etdump/tests/serialize_test.py
similarity index 96%
rename from sdk/etdump/tests/serialize_test.py
rename to devtools/etdump/tests/serialize_test.py
index 2b1497f597..5cab3e5b2b 100644
--- a/sdk/etdump/tests/serialize_test.py
+++ b/devtools/etdump/tests/serialize_test.py
@@ -12,13 +12,13 @@
 from pprint import pformat
 from typing import List
 
-import executorch.sdk.etdump.schema_flatcc as flatcc
-from executorch.exir._serialize._dataclass import _DataclassEncoder
+import executorch.devtools.etdump.schema_flatcc as flatcc
 
-from executorch.sdk.etdump.serialize import (
+from executorch.devtools.etdump.serialize import (
     deserialize_from_etdump_flatcc,
     serialize_to_etdump_flatcc,
 )
+from executorch.exir._serialize._dataclass import _DataclassEncoder
 
 
 def diff_jsons(a: str, b: str) -> List[str]:
@@ -83,6 +83,7 @@ def get_sample_etdump_flatcc() -> flatcc.ETDumpFlatCC:
                         profile_event=None,
                         allocation_event=None,
                         debug_event=flatcc.DebugEvent(
+                            name="test_debug_event",
                             chain_index=1,
                             instruction_id=0,
                             delegate_debug_id_str="56",
diff --git a/devtools/etdump/tests/targets.bzl b/devtools/etdump/tests/targets.bzl
new file mode 100644
index 0000000000..5299b7c1cb
--- /dev/null
+++ b/devtools/etdump/tests/targets.bzl
@@ -0,0 +1,21 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+
+    runtime.cxx_test(
+        name = "etdump_test",
+        srcs = [
+            "etdump_test.cpp",
+        ],
+        deps = [
+            "//executorch/devtools/etdump:etdump_flatcc",
+            "//executorch/devtools/etdump:etdump_schema_flatcc",
+            "//executorch/runtime/platform:platform",
+            "//executorch/runtime/core/exec_aten/testing_util:tensor_util",
+        ],
+    )
diff --git a/devtools/etrecord/TARGETS b/devtools/etrecord/TARGETS
new file mode 100644
index 0000000000..09fc3212bf
--- /dev/null
+++ b/devtools/etrecord/TARGETS
@@ -0,0 +1,18 @@
+load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
+
+oncall("executorch")
+
+python_library(
+    name = "etrecord",
+    srcs = [
+        "__init__.py",
+        "_etrecord.py",
+    ],
+    deps = [
+        "//executorch/devtools/bundled_program:core",
+        "//executorch/devtools/bundled_program/schema:bundled_program_schema_py",
+        "//executorch/exir:lib",
+        "//executorch/exir/emit:emit",
+        "//executorch/exir/serde:serialize",
+    ],
+)
diff --git a/devtools/etrecord/__init__.py b/devtools/etrecord/__init__.py
new file mode 100644
index 0000000000..59ff4e44c2
--- /dev/null
+++ b/devtools/etrecord/__init__.py
@@ -0,0 +1,13 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+from executorch.devtools.etrecord._etrecord import (
+    ETRecord,
+    generate_etrecord,
+    parse_etrecord,
+)
+
+__all__ = ["ETRecord", "generate_etrecord", "parse_etrecord"]
diff --git a/sdk/etrecord/_etrecord.py b/devtools/etrecord/_etrecord.py
similarity index 96%
rename from sdk/etrecord/_etrecord.py
rename to devtools/etrecord/_etrecord.py
index 55e231f216..de7cf93990 100644
--- a/sdk/etrecord/_etrecord.py
+++ b/devtools/etrecord/_etrecord.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import json
 import os
 import pickle
@@ -12,6 +14,9 @@
 from zipfile import BadZipFile, ZipFile
 
 from executorch import exir
+from executorch.devtools.bundled_program.core import BundledProgram
+
+from executorch.devtools.bundled_program.schema.bundled_program_schema import Value
 from executorch.exir import (
     EdgeProgramManager,
     ExecutorchProgram,
@@ -23,9 +28,6 @@
 
 from executorch.exir.serde.export_serialize import SerializedArtifact
 from executorch.exir.serde.serialize import deserialize, serialize
-from executorch.sdk.bundled_program.core import BundledProgram
-
-from executorch.sdk.bundled_program.schema.bundled_program_schema import Value
 
 ProgramOutput = List[Value]
 
@@ -182,13 +184,13 @@ def generate_etrecord(
     is the closest graph module representation of what is eventually run on the device.
     In addition to all the graph modules, we also serialize the program buffer, which the users
     can provide to the ExecuTorch runtime to run the model, and the debug handle map
-    for SDK tooling usage.
+    for Developer Tools usage.
 
     Args:
-        etrecord_path: Path to where the `ETRecord` file will be saved to.
+        et_record: Path to where the `ETRecord` file will be saved to.
         edge_dialect_program: `EdgeProgramManager` for this model returned by the call to to_edge()
         executorch_program: The ExecuTorch program for this model returned by the call to `to_executorch()` or the `BundledProgram` of this model
-        export_modules[Optional]: **Should be ignored by OSS users**. A dictionary of graph modules with the key being the user provided name and the
+        export_modules [Optional]: **Should be ignored by OSS users**. A dictionary of graph modules with the key being the user provided name and the
             value being the corresponding exported module. The exported graph modules can be either the
             output of `torch.export()` or `exir.to_edge()`.
 
@@ -201,7 +203,7 @@ def generate_etrecord(
 
     etrecord_zip = ZipFile(et_record, "w")
     # Write the magic file identifier that will be used to verify that this file
-    # is an etrecord when it's used later in the SDK tooling.
+    # is an etrecord when it's used later in the Developer Tools.
     etrecord_zip.writestr(ETRecordReservedFileNames.ETRECORD_IDENTIFIER, "")
 
     if export_modules is not None:
diff --git a/devtools/etrecord/tests/TARGETS b/devtools/etrecord/tests/TARGETS
new file mode 100644
index 0000000000..fffa7f1834
--- /dev/null
+++ b/devtools/etrecord/tests/TARGETS
@@ -0,0 +1,30 @@
+load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
+load("@fbcode_macros//build_defs:python_unittest.bzl", "python_unittest")
+
+oncall("executorch")
+
+python_unittest(
+    name = "etrecord_test",
+    srcs = ["etrecord_test.py"],
+    deps = [
+        "//caffe2:torch",
+        "//executorch/devtools/bundled_program:config",
+        "//executorch/devtools/bundled_program:core",
+        "//executorch/devtools/etrecord:etrecord",
+        "//executorch/exir:lib",
+        "//executorch/exir/tests:models",
+    ],
+)
+
+python_library(
+    name = "etrecord_test_library",
+    srcs = ["etrecord_test.py"],
+    deps = [
+        "//caffe2:torch",
+        "//executorch/devtools/bundled_program:config",
+        "//executorch/devtools/bundled_program:core",
+        "//executorch/devtools/etrecord:etrecord",
+        "//executorch/exir:lib",
+        "//executorch/exir/tests:models",
+    ],
+)
diff --git a/sdk/etrecord/tests/etrecord_test.py b/devtools/etrecord/tests/etrecord_test.py
similarity index 95%
rename from sdk/etrecord/tests/etrecord_test.py
rename to devtools/etrecord/tests/etrecord_test.py
index bc534fd487..daef7c3e1e 100644
--- a/sdk/etrecord/tests/etrecord_test.py
+++ b/devtools/etrecord/tests/etrecord_test.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import copy
 import json
 import tempfile
@@ -12,14 +14,14 @@
 import executorch.exir.tests.models as models
 import torch
 from executorch import exir
-from executorch.exir import EdgeCompileConfig, EdgeProgramManager, to_edge
-from executorch.sdk.bundled_program.config import MethodTestCase, MethodTestSuite
-from executorch.sdk.bundled_program.core import BundledProgram
-from executorch.sdk.etrecord import generate_etrecord, parse_etrecord
-from executorch.sdk.etrecord._etrecord import (
+from executorch.devtools.bundled_program.config import MethodTestCase, MethodTestSuite
+from executorch.devtools.bundled_program.core import BundledProgram
+from executorch.devtools.etrecord import generate_etrecord, parse_etrecord
+from executorch.devtools.etrecord._etrecord import (
     _get_reference_outputs,
     ETRecordReservedFileNames,
 )
+from executorch.exir import EdgeCompileConfig, EdgeProgramManager, to_edge
 from torch.export import export
 
 
@@ -75,7 +77,7 @@ def get_test_model_with_manager(self):
         return (aten_dialect, edge_program_copy, edge_program.to_executorch())
 
     # Serialized and deserialized graph modules are not completely the same, so we check
-    # that they are close enough and match especially on the parameters we care about in the SDK.
+    # that they are close enough and match especially on the parameters we care about in the Developer Tools.
     def check_graph_closeness(self, graph_a, graph_b):
         self.assertEqual(len(graph_a.graph.nodes), len(graph_b.graph.nodes))
         for node_a, node_b in zip(graph_a.graph.nodes, graph_b.graph.nodes):
diff --git a/devtools/inspector/TARGETS b/devtools/inspector/TARGETS
new file mode 100644
index 0000000000..bba5f7f895
--- /dev/null
+++ b/devtools/inspector/TARGETS
@@ -0,0 +1,58 @@
+load("@fbcode_macros//build_defs:python_binary.bzl", "python_binary")
+load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
+
+oncall("executorch")
+
+python_library(
+    name = "inspector",
+    srcs = [
+        "_inspector.py",
+    ],
+    deps = [
+        "fbsource//third-party/pypi/ipython:ipython",
+        "fbsource//third-party/pypi/numpy:numpy",
+        "fbsource//third-party/pypi/pandas:pandas",
+        "fbsource//third-party/pypi/tabulate:tabulate",
+        ":inspector_utils",
+        "//executorch/devtools/debug_format:et_schema",
+        "//executorch/devtools/etdump:schema_flatcc",
+        "//executorch/devtools/etrecord:etrecord",
+        "//executorch/exir:lib",
+    ],
+)
+
+python_binary(
+    name = "inspector_cli",
+    main_function = ".inspector_cli.main",
+    main_src = "inspector_cli.py",
+    deps = [
+        "//executorch/devtools:lib",
+        "//executorch/devtools/inspector:lib",
+    ],
+)
+
+python_library(
+    name = "inspector_utils",
+    srcs = [
+        "_inspector_utils.py",
+    ],
+    deps = [
+        "fbsource//third-party/pypi/matplotlib:matplotlib",
+        "fbsource//third-party/pypi/numpy:numpy",
+        "//caffe2:torch",
+        "//executorch/devtools/debug_format:base_schema",
+        "//executorch/devtools/debug_format:et_schema",
+        "//executorch/devtools/etdump:schema_flatcc",
+        "//executorch/devtools/etdump:serialize",
+        "//executorch/devtools/etrecord:etrecord",
+    ],
+)
+
+python_library(
+    name = "lib",
+    srcs = ["__init__.py"],
+    deps = [
+        ":inspector",
+        ":inspector_utils",
+    ],
+)
diff --git a/devtools/inspector/__init__.py b/devtools/inspector/__init__.py
new file mode 100644
index 0000000000..375123a0a5
--- /dev/null
+++ b/devtools/inspector/__init__.py
@@ -0,0 +1,24 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+
+from executorch.devtools.inspector._inspector import (
+    Event,
+    EventBlock,
+    Inspector,
+    PerfData,
+)
+from executorch.devtools.inspector._inspector_utils import compare_results, TimeScale
+
+__all__ = [
+    "Event",
+    "EventBlock",
+    "Inspector",
+    "PerfData",
+    "compare_results",
+    "TimeScale",
+]
diff --git a/sdk/inspector/_inspector.py b/devtools/inspector/_inspector.py
similarity index 94%
rename from sdk/inspector/_inspector.py
rename to devtools/inspector/_inspector.py
index 5f9bfafee7..0539d4f5e4 100644
--- a/sdk/inspector/_inspector.py
+++ b/devtools/inspector/_inspector.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import dataclasses
 import logging
 import sys
@@ -26,16 +28,20 @@
     Union,
 )
 
-import executorch.sdk.etdump.schema_flatcc as flatcc
+import executorch.devtools.etdump.schema_flatcc as flatcc
 
 import numpy as np
 import pandas as pd
-from executorch.exir import ExportedProgram
 
-from executorch.sdk.debug_format.et_schema import OperatorGraph, OperatorNode
-from executorch.sdk.etdump.schema_flatcc import DebugEvent, ETDumpFlatCC, ProfileEvent
-from executorch.sdk.etrecord import ETRecord, parse_etrecord
-from executorch.sdk.inspector._inspector_utils import (
+from executorch.devtools.debug_format.et_schema import OperatorGraph, OperatorNode
+from executorch.devtools.etdump.schema_flatcc import (
+    DebugEvent,
+    ETDumpFlatCC,
+    ProfileEvent,
+)
+from executorch.devtools.etrecord import ETRecord, parse_etrecord
+from executorch.devtools.inspector._inspector_utils import (
+    calculate_time_scale_factor,
     create_debug_handle_to_op_node_mapping,
     EDGE_DIALECT_GRAPH_KEY,
     EXCLUDED_COLUMNS_WHEN_PRINTING,
@@ -49,10 +55,10 @@
     is_inference_output_equal,
     ProgramOutput,
     RESERVED_FRAMEWORK_EVENT_NAMES,
-    TIME_SCALE_DICT,
     TimeScale,
     verify_debug_data_equivalence,
 )
+from executorch.exir import ExportedProgram
 
 from tabulate import tabulate
 
@@ -146,6 +152,7 @@ def _gen_from_event(event: ProfileEvent) -> "ProfileEventSignature":
 # Signature of a DebugEvent
 @dataclass(frozen=True, order=True)
 class DebugEventSignature:
+    name: str = ""
     instruction_id: Optional[int] = -1
     delegate_id: Optional[int] = None
     delegate_id_str: Optional[str] = None
@@ -159,6 +166,7 @@ def _gen_from_event(event: DebugEvent) -> "DebugEventSignature":
         The Signature will convert these back to the intended None value
         """
         return DebugEventSignature(
+            event.name or "",
             event.instruction_id if event.instruction_id != -1 else None,
             event.delegate_debug_id_int if event.delegate_debug_id_int != -1 else None,
             event.delegate_debug_id_str if event.delegate_debug_id_str != "" else None,
@@ -464,46 +472,63 @@ def _calculate_elapsed_time(start_time, end_time):
         return elapsed_time
 
     @staticmethod
-    def _populate_profiling_related_fields(
+    def _populate_event_signature_fields(
         ret_event: "Event",
-        profile_event_signature: Optional[ProfileEventSignature],
-        events: List[InstructionEvent],
-        scale_factor: float,
+        event_signature: Optional[Union[ProfileEventSignature, DebugEventSignature]],
     ) -> None:
         """
         Given a partially constructed Event, populate the fields related to
-        the profile events
+        the profile event signature or debug event signature
 
         Fields Updated:
             name
             delegate_debug_identifier
             is_delegated_op
-            perf_data
-            delegate_debug_metadatas
         """
-
-        # Fill out fields from profile event signature
-        if profile_event_signature is not None:
-            if profile_event_signature.delegate_id is not None:  # 0 is a valid value
-                delegate_debug_identifier = profile_event_signature.delegate_id
+        # TODO: T201347372 Push the None check to ealier in the stack.
+        if event_signature is not None:
+            if event_signature.delegate_id is not None:  # 0 is a valid value
+                delegate_debug_identifier = event_signature.delegate_id
             else:
-                delegate_debug_identifier = (
-                    profile_event_signature.delegate_id_str or None
-                )
+                delegate_debug_identifier = event_signature.delegate_id_str or None
 
             # Use the delegate identifier as the event name if delegated
             is_delegated_op = delegate_debug_identifier is not None
             name = (
-                profile_event_signature.name
+                event_signature.name
                 if not is_delegated_op
                 else str(delegate_debug_identifier)
             )
 
             # Update fields
-            ret_event.name = name
+            # This is for older version of etdump that doesn't have the name field for debug events, we don't update the name field
+            if name:
+                ret_event.name = name
             ret_event.delegate_debug_identifier = delegate_debug_identifier
             ret_event.is_delegated_op = is_delegated_op
 
+    @staticmethod
+    def _populate_profiling_related_fields(
+        ret_event: "Event",
+        profile_event_signature: Optional[ProfileEventSignature],
+        events: List[InstructionEvent],
+        scale_factor: float,
+    ) -> None:
+        """
+        Given a partially constructed Event, populate the fields related to
+        the profile events
+
+        Fields Updated:
+            name
+            delegate_debug_identifier
+            is_delegated_op
+            perf_data
+            delegate_debug_metadatas
+        """
+
+        # Fill out fields from profile event signature
+        Event._populate_event_signature_fields(ret_event, profile_event_signature)
+
         # Fill out fields from profile event
         data = []
         delegate_debug_metadatas = []
@@ -571,9 +596,15 @@ def _populate_debugging_related_fields(
         the debug events
 
         Fields Updated:
+            name
+            delegate_debug_identifier
+            is_delegated_op
             debug_data
         """
 
+        # Fill out fields from debug event signature
+        Event._populate_event_signature_fields(ret_event, debug_event_signature)
+
         debug_data: List[flatcc.Value] = []
         for event in events:
             if (debug_events := event.debug_events) is None:
@@ -795,9 +826,7 @@ class GroupedRunInstances:
 
         # Construct the EventBlocks
         event_blocks = []
-        scale_factor = (
-            TIME_SCALE_DICT[source_time_scale] / TIME_SCALE_DICT[target_time_scale]
-        )
+        scale_factor = calculate_time_scale_factor(source_time_scale, target_time_scale)
         for run_signature, grouped_run_instance in run_groups.items():
             run_group: OrderedDict[EventSignature, List[InstructionEvent]] = (
                 grouped_run_instance.events
@@ -962,6 +991,9 @@ def __init__(
             debug_buffer_path: Debug buffer file path that contains the debug data referenced by ETDump for intermediate and program outputs.
             delegate_metadata_parser: Optional function to parse delegate metadata from an Profiling Event. Expected signature of the function is:
                     (delegate_metadata_list: List[bytes]) -> Union[List[str], Dict[str, Any]]
+            delegate_time_scale_converter: Optional function to convert the time scale of delegate profiling data. If not given, use the conversion ratio of
+                    target_time_scale/source_time_scale.
+            enable_module_hierarchy: Enable submodules in the operator graph. Defaults to False.
 
         Returns:
             None
@@ -976,6 +1008,14 @@ def __init__(
         self._source_time_scale = source_time_scale
         self._target_time_scale = target_time_scale
 
+        if delegate_time_scale_converter is None:
+            scale_factor = calculate_time_scale_factor(
+                source_time_scale, target_time_scale
+            )
+            delegate_time_scale_converter = (
+                lambda event_name, input_time: input_time / scale_factor
+            )
+
         if etrecord is None:
             self._etrecord = None
         elif isinstance(etrecord, ETRecord):
@@ -998,10 +1038,10 @@ def __init__(
             )
 
         self.event_blocks = EventBlock._gen_from_etdump(
-            etdump,
-            self._source_time_scale,
-            self._target_time_scale,
-            output_buffer,
+            etdump=etdump,
+            source_time_scale=self._source_time_scale,
+            target_time_scale=self._target_time_scale,
+            output_buffer=output_buffer,
             delegate_metadata_parser=delegate_metadata_parser,
             delegate_time_scale_converter=delegate_time_scale_converter,
         )
diff --git a/sdk/inspector/_inspector_utils.py b/devtools/inspector/_inspector_utils.py
similarity index 95%
rename from sdk/inspector/_inspector_utils.py
rename to devtools/inspector/_inspector_utils.py
index 6879e85505..5f04e2d041 100644
--- a/sdk/inspector/_inspector_utils.py
+++ b/devtools/inspector/_inspector_utils.py
@@ -4,18 +4,20 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import math
 from enum import Enum
 from typing import Dict, List, Mapping, Optional, Tuple, TypeAlias, Union
 
-import executorch.sdk.etdump.schema_flatcc as flatcc
+import executorch.devtools.etdump.schema_flatcc as flatcc
 
 import torch
 
-from executorch.sdk.debug_format.base_schema import OperatorNode
+from executorch.devtools.debug_format.base_schema import OperatorNode
 
-from executorch.sdk.debug_format.et_schema import FXOperatorGraph, OperatorGraph
-from executorch.sdk.etdump.schema_flatcc import (
+from executorch.devtools.debug_format.et_schema import FXOperatorGraph, OperatorGraph
+from executorch.devtools.etdump.schema_flatcc import (
     DebugEvent,
     ETDumpFlatCC,
     ProfileEvent,
@@ -25,8 +27,8 @@
     ValueType,
 )
 
-from executorch.sdk.etdump.serialize import deserialize_from_etdump_flatcc
-from executorch.sdk.etrecord import ETRecord
+from executorch.devtools.etdump.serialize import deserialize_from_etdump_flatcc
+from executorch.devtools.etrecord import ETRecord
 
 FORWARD = "forward"
 EDGE_DIALECT_GRAPH_KEY = "edge_dialect_graph_module"
@@ -63,6 +65,15 @@ class TimeScale(Enum):
 }
 
 
+def calculate_time_scale_factor(
+    source_time_scale: TimeScale, target_time_scale: TimeScale
+) -> float:
+    """
+    Calculate the factor (source divided by target) between two time scales
+    """
+    return TIME_SCALE_DICT[source_time_scale] / TIME_SCALE_DICT[target_time_scale]
+
+
 # Model Debug Output
 InferenceOutput: TypeAlias = Union[
     torch.Tensor, List[torch.Tensor], int, float, str, bool, None
diff --git a/sdk/inspector/inspector_cli.py b/devtools/inspector/inspector_cli.py
similarity index 93%
rename from sdk/inspector/inspector_cli.py
rename to devtools/inspector/inspector_cli.py
index d6c8d5442f..db3536a84b 100644
--- a/sdk/inspector/inspector_cli.py
+++ b/devtools/inspector/inspector_cli.py
@@ -4,10 +4,12 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import argparse
 
-from executorch.sdk import Inspector
-from executorch.sdk.inspector._inspector_utils import compare_results, TimeScale
+from executorch.devtools import Inspector
+from executorch.devtools.inspector import compare_results, TimeScale
 
 
 def main() -> None:
diff --git a/devtools/inspector/tests/TARGETS b/devtools/inspector/tests/TARGETS
new file mode 100644
index 0000000000..eada6817bc
--- /dev/null
+++ b/devtools/inspector/tests/TARGETS
@@ -0,0 +1,41 @@
+load("@fbcode_macros//build_defs:python_unittest.bzl", "python_unittest")
+
+oncall("executorch")
+
+python_unittest(
+    name = "inspector_test",
+    srcs = ["inspector_test.py"],
+    deps = [
+        "//executorch/devtools:lib",
+        "//executorch/devtools/debug_format:et_schema",
+        "//executorch/devtools/etdump:schema_flatcc",
+        "//executorch/devtools/etrecord/tests:etrecord_test_library",
+        "//executorch/devtools/inspector:inspector",
+        "//executorch/devtools/inspector:lib",
+        "//executorch/exir:lib",
+    ],
+)
+
+python_unittest(
+    name = "event_blocks_test",
+    srcs = ["event_blocks_test.py"],
+    deps = [
+        "//executorch/devtools/etdump:schema_flatcc",
+        "//executorch/devtools/inspector:inspector",
+        "//executorch/devtools/inspector:lib",
+    ],
+)
+
+python_unittest(
+    name = "inspector_utils_test",
+    srcs = ["inspector_utils_test.py"],
+    deps = [
+        "//caffe2:torch",
+        "//executorch/devtools:lib",
+        "//executorch/devtools/debug_format:base_schema",
+        "//executorch/devtools/debug_format:et_schema",
+        "//executorch/devtools/etdump:schema_flatcc",
+        "//executorch/devtools/etrecord/tests:etrecord_test_library",
+        "//executorch/devtools/inspector:inspector_utils",
+    ],
+)
diff --git a/sdk/inspector/tests/event_blocks_test.py b/devtools/inspector/tests/event_blocks_test.py
similarity index 89%
rename from sdk/inspector/tests/event_blocks_test.py
rename to devtools/inspector/tests/event_blocks_test.py
index 7c7da00186..85b65aa5f3 100644
--- a/sdk/inspector/tests/event_blocks_test.py
+++ b/devtools/inspector/tests/event_blocks_test.py
@@ -8,10 +8,10 @@
 import unittest
 from typing import List, Optional, Tuple, Union
 
-import executorch.sdk.etdump.schema_flatcc as flatcc
-from executorch.sdk.etdump.schema_flatcc import ETDumpFlatCC, ProfileEvent
-from executorch.sdk.inspector import Event, EventBlock, PerfData
-from executorch.sdk.inspector._inspector import (
+import executorch.devtools.etdump.schema_flatcc as flatcc
+from executorch.devtools.etdump.schema_flatcc import ETDumpFlatCC, ProfileEvent
+from executorch.devtools.inspector import Event, EventBlock, PerfData
+from executorch.devtools.inspector._inspector import (
     DelegateMetadata,
     EventSignature,
     InstructionEvent,
@@ -62,6 +62,7 @@ def _gen_sample_profile_event(
     def _gen_sample_debug_event(
         instruction_id: int,
         delegate_debug_id: Optional[Union[int, str]] = None,
+        name: str = "test_debug_event",
     ) -> flatcc.DebugEvent:
         """
         Helper for generating test DebugEvents
@@ -77,6 +78,7 @@ def _gen_sample_debug_event(
         )
 
         return flatcc.DebugEvent(
+            name=name,
             chain_index=0,
             instruction_id=instruction_id,
             delegate_debug_id_int=delegate_debug_id_int,
@@ -299,6 +301,42 @@ def _get_sample_etdump_flatcc_profiling_and_debugging() -> flatcc.ETDumpFlatCC:
 
         return ETDumpFlatCC(version=0, run_data=[run_data_1, run_data_2, run_data_3])
 
+    @staticmethod
+    def _get_sample_etdump_flatcc_debug_events_only(
+        event_name: str,
+        delegate_debug_id: str,
+    ) -> flatcc.ETDumpFlatCC:
+        """
+        Helper for getting a sample ETDumpFlatCC object with RunData signature_a
+        and (debug_event_delegated, debug_event_non_delegated, no profile event)
+        """
+
+        debug_event_delegated = TestEventBlock._gen_sample_debug_event(
+            instruction_id=1, delegate_debug_id=delegate_debug_id, name=event_name
+        )
+        debug_event_non_delegated = TestEventBlock._gen_sample_debug_event(
+            instruction_id=1, name=event_name
+        )
+        run_data_1 = flatcc.RunData(
+            name="signature_a",
+            bundled_input_index=-1,
+            allocators=[],
+            events=[
+                flatcc.Event(
+                    allocation_event=None,
+                    debug_event=debug_event_delegated,
+                    profile_event=None,
+                ),
+                flatcc.Event(
+                    allocation_event=None,
+                    debug_event=debug_event_non_delegated,
+                    profile_event=None,
+                ),
+            ],
+        )
+
+        return ETDumpFlatCC(version=0, run_data=[run_data_1])
+
     # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Tests ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
     def test_gen_from_etdump(self) -> None:
@@ -370,6 +408,30 @@ def test_gen_from_etdump_inconsistent_debug_data(self) -> None:
         with self.assertRaises(AssertionError):
             EventBlock._gen_from_etdump(etdump)
 
+    def test_gen_from_etdump_debug_events_only(self) -> None:
+        """
+        Test generation of EventBlocks given an ETDump with only debugging events
+
+        Specifically it tests:
+        - Correct number of EventBlocks and Events
+        - Correct name of each Event
+        """
+        event_name = "test_debug_event_only"
+        delegate_debug_id = "debug_id"
+        etdump: ETDumpFlatCC = (
+            TestEventBlock._get_sample_etdump_flatcc_debug_events_only(
+                event_name=event_name,
+                delegate_debug_id=delegate_debug_id,
+            )
+        )
+        event_blocks = EventBlock._gen_from_etdump(etdump)
+        self.assertEqual(len(event_blocks), 1)
+        self.assertEqual(len(event_blocks[0].events), 2)
+        # Delegated event uses delegate_debug_id as event name
+        self.assertEqual(event_blocks[0].events[0].name, delegate_debug_id)
+        # Non delegated event uses event_name as event name
+        self.assertEqual(event_blocks[0].events[1].name, event_name)
+
     def test_inspector_event_generation(self) -> None:
         """
         Test Inspector.Event derivation from various ProfileEvent cases
diff --git a/sdk/inspector/tests/inspector_test.py b/devtools/inspector/tests/inspector_test.py
similarity index 89%
rename from sdk/inspector/tests/inspector_test.py
rename to devtools/inspector/tests/inspector_test.py
index a372c7c569..34c96eef53 100644
--- a/sdk/inspector/tests/inspector_test.py
+++ b/devtools/inspector/tests/inspector_test.py
@@ -4,31 +4,41 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import random
 import statistics
 import tempfile
 import unittest
 from contextlib import redirect_stdout
 
-from typing import List
+from typing import Callable, List
 
 from unittest.mock import patch
 
-from executorch.exir import ExportedProgram
-from executorch.sdk import generate_etrecord, parse_etrecord
-from executorch.sdk.debug_format.et_schema import OperatorNode
-from executorch.sdk.etdump.schema_flatcc import ProfileEvent
-from executorch.sdk.etrecord.tests.etrecord_test import TestETRecord
-
-from executorch.sdk.inspector import _inspector, Event, EventBlock, Inspector, PerfData
-from executorch.sdk.inspector._inspector import (
+from executorch.devtools import generate_etrecord, parse_etrecord
+from executorch.devtools.debug_format.et_schema import OperatorNode
+from executorch.devtools.etdump.schema_flatcc import ProfileEvent
+from executorch.devtools.etrecord.tests.etrecord_test import TestETRecord
+
+from executorch.devtools.inspector import (
+    _inspector,
+    Event,
+    EventBlock,
+    Inspector,
+    PerfData,
+)
+from executorch.devtools.inspector._inspector import (
     DebugEventSignature,
     flatcc,
     InstructionEvent,
     InstructionEventSignature,
     ProfileEventSignature,
+    TimeScale,
 )
 
+from executorch.exir import ExportedProgram
+
 
 OP_TYPE = "aten::add"
 EVENT_BLOCK_NAME = "block_0"
@@ -81,6 +91,33 @@ def test_inspector_constructor(self):
             # Because we mocked parse_etrecord() to return None, this method shouldn't be called
             mock_gen_graphs_from_etrecord.assert_not_called()
 
+    def test_default_delegate_time_scale_converter(self):
+        # Create a context manager to patch functions called by Inspector.__init__
+        with patch.object(
+            _inspector, "parse_etrecord", return_value=None
+        ), patch.object(
+            _inspector, "gen_etdump_object", return_value=None
+        ), patch.object(
+            EventBlock, "_gen_from_etdump"
+        ) as mock_gen_from_etdump, patch.object(
+            _inspector, "gen_graphs_from_etrecord"
+        ), patch.object(
+            _inspector, "create_debug_handle_to_op_node_mapping"
+        ):
+            # Call the constructor of Inspector
+            Inspector(
+                etdump_path=ETDUMP_PATH,
+                etrecord=ETRECORD_PATH,
+                source_time_scale=TimeScale.US,
+                target_time_scale=TimeScale.S,
+            )
+
+            # Verify delegate_time_scale_converter is set to be a callable
+            self.assertIsInstance(
+                mock_gen_from_etdump.call_args.get("delegate_time_scale_converter"),
+                Callable,
+            )
+
     def test_inspector_print_data_tabular(self):
         # Create a context manager to patch functions called by Inspector.__init__
         with patch.object(
@@ -281,6 +318,7 @@ def test_populate_debugging_related_fields_raises_for_inconsistent_events(self):
         )
 
         debug_event_0 = flatcc.DebugEvent(
+            name="event",
             chain_index=1,
             instruction_id=0,
             delegate_debug_id_int=1,
@@ -304,6 +342,7 @@ def test_populate_debugging_related_fields_raises_for_inconsistent_events(self):
 
         # Note the sizes of this tensor are different from the previous one
         debug_event_1 = flatcc.DebugEvent(
+            name="event",
             chain_index=1,
             instruction_id=0,
             delegate_debug_id_int=1,
@@ -348,6 +387,7 @@ def test_populate_debugging_related_fields_passes_for_consistent_events(self):
         )
 
         debug_event_0 = flatcc.DebugEvent(
+            name="event",
             chain_index=1,
             instruction_id=0,
             delegate_debug_id_int=1,
@@ -371,6 +411,7 @@ def test_populate_debugging_related_fields_passes_for_consistent_events(self):
 
         # Same as the event above except for offset
         debug_event_1 = flatcc.DebugEvent(
+            name="event",
             chain_index=1,
             instruction_id=0,
             delegate_debug_id_int=1,
diff --git a/sdk/inspector/tests/inspector_utils_test.py b/devtools/inspector/tests/inspector_utils_test.py
similarity index 88%
rename from sdk/inspector/tests/inspector_utils_test.py
rename to devtools/inspector/tests/inspector_utils_test.py
index b5b9b54d6c..73511f5fcd 100644
--- a/sdk/inspector/tests/inspector_utils_test.py
+++ b/devtools/inspector/tests/inspector_utils_test.py
@@ -4,30 +4,34 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import tempfile
 import unittest
 from typing import Dict, Tuple
 
 import torch
 
-from executorch.sdk import generate_etrecord, parse_etrecord
+from executorch.devtools import generate_etrecord, parse_etrecord
 
-from executorch.sdk.debug_format.base_schema import (
+from executorch.devtools.debug_format.base_schema import (
     OperatorGraph,
     OperatorNode,
     ValueNode,
 )
 
-from executorch.sdk.debug_format.et_schema import FXOperatorGraph
-from executorch.sdk.etdump import schema_flatcc as flatcc
+from executorch.devtools.debug_format.et_schema import FXOperatorGraph
+from executorch.devtools.etdump import schema_flatcc as flatcc
 
-from executorch.sdk.etrecord.tests.etrecord_test import TestETRecord
-from executorch.sdk.inspector._inspector_utils import (
+from executorch.devtools.etrecord.tests.etrecord_test import TestETRecord
+from executorch.devtools.inspector._inspector_utils import (
+    calculate_time_scale_factor,
     create_debug_handle_to_op_node_mapping,
     EDGE_DIALECT_GRAPH_KEY,
     find_populated_event,
     gen_graphs_from_etrecord,
     is_inference_output_equal,
+    TimeScale,
 )
 
 
@@ -74,6 +78,7 @@ def test_find_populated_event(self):
             end_time=2002,
         )
         debug_event = flatcc.DebugEvent(
+            name="test_debug_event",
             chain_index=1,
             instruction_id=0,
             delegate_debug_id_str="56",
@@ -170,6 +175,19 @@ def test_is_inference_output_equal_returns_true_for_same_strs(self):
             )
         )
 
+    def test_calculate_time_scale_factor_second_based(self):
+        self.assertEqual(
+            calculate_time_scale_factor(TimeScale.NS, TimeScale.MS), 1000000
+        )
+        self.assertEqual(
+            calculate_time_scale_factor(TimeScale.MS, TimeScale.NS), 1 / 1000000
+        )
+
+    def test_calculate_time_scale_factor_cycles(self):
+        self.assertEqual(
+            calculate_time_scale_factor(TimeScale.CYCLES, TimeScale.CYCLES), 1
+        )
+
 
 def gen_mock_operator_graph_with_expected_map() -> (
     Tuple[OperatorGraph, Dict[int, OperatorNode]]
diff --git a/devtools/size_analysis_tool/TARGETS b/devtools/size_analysis_tool/TARGETS
new file mode 100644
index 0000000000..c365ba152d
--- /dev/null
+++ b/devtools/size_analysis_tool/TARGETS
@@ -0,0 +1,51 @@
+load("@fbcode_macros//build_defs:python_binary.bzl", "python_binary")
+load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
+load("@fbcode_macros//build_defs:python_unittest.bzl", "python_unittest")
+
+oncall("executorch")
+
+python_library(
+    name = "size_analysis_tool_lib",
+    srcs = [
+        "size_analysis_tool.py",
+    ],
+    visibility = ["PUBLIC"],
+    deps = [
+        "//caffe2:torch",
+        "//executorch/devtools:lib",
+        "//executorch/exir:lib",
+        "//executorch/exir/backend:backend_api",
+    ],
+)
+
+python_binary(
+    name = "size_analysis_tool",
+    srcs = [
+        "size_analysis_tool.py",
+    ],
+    main_function = "executorch.devtools.size_analysis_tool.size_analysis_tool.main",
+    visibility = ["PUBLIC"],
+    deps = [
+        "//caffe2:torch",
+        "//executorch/devtools:lib",
+        "//executorch/exir:lib",
+        "//executorch/exir/backend:backend_api",
+    ],
+)
+
+python_unittest(
+    name = "size_analysis_tool_test",
+    srcs = [
+        "size_analysis_tool.py",
+        "size_analysis_tool_test.py",
+    ],
+    deps = [
+        "//caffe2:torch",
+        "//executorch/backends/xnnpack/partition:xnnpack_partitioner",
+        "//executorch/backends/xnnpack/utils:xnnpack_utils",
+        "//executorch/devtools:lib",
+        "//executorch/exir:lib",
+        "//executorch/exir/backend:backend_api",
+        "//executorch/exir/passes:spec_prop_pass",
+    ],
+)
diff --git a/sdk/size_analysis_tool/size_analysis_tool.py b/devtools/size_analysis_tool/size_analysis_tool.py
similarity index 99%
rename from sdk/size_analysis_tool/size_analysis_tool.py
rename to devtools/size_analysis_tool/size_analysis_tool.py
index d17ec5ac47..8ea8ddbbf4 100644
--- a/sdk/size_analysis_tool/size_analysis_tool.py
+++ b/devtools/size_analysis_tool/size_analysis_tool.py
@@ -9,10 +9,10 @@
 from typing import Any, Callable, Dict, List, Optional, Tuple
 
 import torch
+from executorch.devtools import parse_etrecord
 
 from executorch.exir import ExportedProgram
 from executorch.exir.backend.backend_api import LoweredBackendModule
-from executorch.sdk import parse_etrecord
 
 
 def _get_tensor_data(node: torch.fx.Node, tensor: torch.Tensor) -> Dict[str, Any]:
diff --git a/sdk/size_analysis_tool/size_analysis_tool_test.py b/devtools/size_analysis_tool/size_analysis_tool_test.py
similarity index 98%
rename from sdk/size_analysis_tool/size_analysis_tool_test.py
rename to devtools/size_analysis_tool/size_analysis_tool_test.py
index 3e1efec77b..96feae7e42 100644
--- a/sdk/size_analysis_tool/size_analysis_tool_test.py
+++ b/devtools/size_analysis_tool/size_analysis_tool_test.py
@@ -14,12 +14,12 @@
     get_xnnpack_executorch_backend_config,
 )
 from executorch.backends.xnnpack.utils.utils import capture_graph_for_xnnpack
-from executorch.exir.backend.backend_api import to_backend, validation_disabled
-from executorch.exir.passes.spec_prop_pass import SpecPropPass
 
-from executorch.sdk.size_analysis_tool.size_analysis_tool import (
+from executorch.devtools.size_analysis_tool.size_analysis_tool import (
     generate_model_size_information,
 )
+from executorch.exir.backend.backend_api import to_backend, validation_disabled
+from executorch.exir.passes.spec_prop_pass import SpecPropPass
 
 
 class SizeAnalysisToolTest(unittest.TestCase):
diff --git a/devtools/targets.bzl b/devtools/targets.bzl
new file mode 100644
index 0000000000..17d9e89cad
--- /dev/null
+++ b/devtools/targets.bzl
@@ -0,0 +1,8 @@
+def build_sdk():
+    return native.read_config("executorch", "build_sdk", "false") == "true"
+
+def get_sdk_flags():
+    sdk_flags = []
+    if build_sdk():
+        sdk_flags += ["-DEXECUTORCH_BUILD_DEVTOOLS"]
+    return sdk_flags
diff --git a/docs/Makefile b/docs/Makefile
index ae8470b58c..219998d4b4 100644
--- a/docs/Makefile
+++ b/docs/Makefile
@@ -2,7 +2,7 @@
 #
 
 # You can set these variables from the command line.
-# SPHINXOPTS    = -WT --keep-going TODO(T165752164) fix sphinx warnings around preprocess macros in cpp like __ET_DEPRECATED
+# SPHINXOPTS    = -WT --keep-going TODO(T165752164) fix sphinx warnings around preprocess macros in cpp like ET_DEPRECATED
 SPHINXBUILD   = sphinx-build
 SPHINXPROJ    = ExecuTorch
 SOURCEDIR     = source
diff --git a/docs/source/Doxyfile b/docs/source/Doxyfile
index b741509197..e662105b83 100644
--- a/docs/source/Doxyfile
+++ b/docs/source/Doxyfile
@@ -964,8 +964,7 @@ INPUT                  = ../runtime/executor/memory_manager.h \
                          ../runtime/core/tensor_shape_dynamism.h \
                          ../runtime/platform/compiler.h \
                          ../runtime/executor/ \
-                         ../runtime/platform/ \
-                         ../util/
+                         ../runtime/platform/
 
 
 
diff --git a/docs/source/_static/img/api_life_cycle.png b/docs/source/_static/img/api_life_cycle.png
new file mode 100644
index 0000000000..47b8e7c318
Binary files /dev/null and b/docs/source/_static/img/api_life_cycle.png differ
diff --git a/docs/source/_static/img/benchmark-infra.png b/docs/source/_static/img/benchmark-infra.png
new file mode 100644
index 0000000000..a5d3077425
Binary files /dev/null and b/docs/source/_static/img/benchmark-infra.png differ
diff --git a/docs/source/_static/img/chat.png b/docs/source/_static/img/chat.png
new file mode 100644
index 0000000000..e7ed934519
Binary files /dev/null and b/docs/source/_static/img/chat.png differ
diff --git a/docs/source/_static/img/chat_response.png b/docs/source/_static/img/chat_response.png
new file mode 100644
index 0000000000..714265276f
Binary files /dev/null and b/docs/source/_static/img/chat_response.png differ
diff --git a/docs/source/_static/img/llava_example.png b/docs/source/_static/img/llava_example.png
new file mode 100644
index 0000000000..ccac335ee6
Binary files /dev/null and b/docs/source/_static/img/llava_example.png differ
diff --git a/docs/source/_static/img/load_complete_and_start_prompt.png b/docs/source/_static/img/load_complete_and_start_prompt.png
new file mode 100644
index 0000000000..43d81f10d0
Binary files /dev/null and b/docs/source/_static/img/load_complete_and_start_prompt.png differ
diff --git a/docs/source/_static/img/logs.png b/docs/source/_static/img/logs.png
new file mode 100644
index 0000000000..e35227a1c0
Binary files /dev/null and b/docs/source/_static/img/logs.png differ
diff --git a/docs/source/_static/img/mtk_changes_to_shell_file.png b/docs/source/_static/img/mtk_changes_to_shell_file.png
new file mode 100644
index 0000000000..7fa4e46186
Binary files /dev/null and b/docs/source/_static/img/mtk_changes_to_shell_file.png differ
diff --git a/docs/source/_static/img/mtk_output.png b/docs/source/_static/img/mtk_output.png
new file mode 100644
index 0000000000..e41d54c356
Binary files /dev/null and b/docs/source/_static/img/mtk_output.png differ
diff --git a/docs/source/_static/img/opening_the_app_details.png b/docs/source/_static/img/opening_the_app_details.png
new file mode 100644
index 0000000000..60494ecc69
Binary files /dev/null and b/docs/source/_static/img/opening_the_app_details.png differ
diff --git a/docs/source/_static/img/settings_menu.png b/docs/source/_static/img/settings_menu.png
new file mode 100644
index 0000000000..028e6b55cd
Binary files /dev/null and b/docs/source/_static/img/settings_menu.png differ
diff --git a/docs/source/api-life-cycle.md b/docs/source/api-life-cycle.md
new file mode 100644
index 0000000000..1836ba77d7
--- /dev/null
+++ b/docs/source/api-life-cycle.md
@@ -0,0 +1,217 @@
+# ExecuTorch API Life Cycle and Deprecation Policy
+
+## API Life Cycle
+
+![name](_static/img/api_life_cycle.png)
+
+Each API of ExecuTorch falls into one of the following life cycle states:
+
+_Experimental_
+
+- APIs in this stage are under active development and may change or be removed
+  at any time. That said, the expectation is that we will eventually promote it
+  to _Stable_, unless sufficient negative signals have been collected from the
+  community or better alternatives have been found.
+- _Experimental_ APIs will be clearly marked (see the “How to Mark API State”
+  section below).
+- _Experimental_ APIs may be changed or removed without notice, and developers
+  should expect no stability guarantees.
+
+_Stable_
+
+- APIs are considered to be _Stable_ if they are not marked as _Experimental_ or
+  _Deprecated._
+- APIs in this stage have been thoroughly tested and are considered ready for
+  production use.
+- The recommended best practice is to not deprecate stable APIs. When writing an
+  API, write it in such a way that it doesn’t need to be deprecated in the
+  future.
+- _Stable_ APIs can be changed, but not in a breaking way. If breaking changes
+  have to be made, _Stable_ APIs will always transition to _Deprecated_ before
+  being broken/removed from the library.
+
+_Deprecated_
+
+- APIs in this stage are no longer recommended for use and will be removed in a
+  future version of ExecuTorch.
+- _Deprecated_ APIs will be clearly marked (see the “How to Mark API State”
+  section below).
+- _Deprecated_ APIs will remain functional for at least the _deprecation period_
+  (see the “Deprecation Period” section below) to allow developers time to
+  migrate to alternative APIs.
+
+_Deleted_
+
+- APIs whose removal are made permanent. Cleaned up from both code and
+  documentation.
+
+## Deprecation Policy
+
+Follow these steps to deprecate and remove an API:
+
+1. Discuss the change and collect initial feedback.
+2. Clearly mark the API deprecated in code and documentation (See “How to Mark
+   API State” below).
+3. Listen to user feedback after the first release that deprecates the API.
+   Users who weren't involved in the original discussion may have good arguments
+   for not deprecating or removing the API.
+4. Once the deprecation period has passed, the API may be removed (See
+   “Deprecation Period” below). Be sure to also remove references from the
+   documentation.
+
+
+We also use deprecation as a way to make breaking changes to an existing
+interface: for example, if adding a non-optional parameter to a method. To do
+this without breaking existing users:
+
+1. In a single commit:
+   - Create a new API that meets the new requirements.
+   - Deprecate the old API and recommend that users move to the new API.
+2. Migrate use cases from the old API to the new API.
+3. Delete the old API after the deprecation period.
+
+## How to Mark API State
+
+When possible, the ExecuTorch code uses language-standard ways to annotate API
+lifecycle state in the code. This makes it easier for IDEs and other tools to
+communicate state to developers.
+
+<table>
+  <tr>
+   <td><strong>Language</strong>
+   </td>
+   <td><strong>Code</strong>
+   </td>
+   <td><strong>Documentation</strong>
+   </td>
+  </tr>
+  <tr>
+   <td>Python
+   </td>
+   <td>
+
+Use the
+<a href="https://github.com/pytorch/executorch/blob/main/exir/_warnings.py">executorch.exir._warnings.deprecated</a>
+decorator.
+
+<p>
+Use the
+<a href="https://github.com/pytorch/executorch/blob/main/exir/_warnings.py">executorch.exir._warnings.experimental</a>
+decorator.
+
+   </td>
+   <td>
+
+Use <code>.. warning::</code> in the docstrings of deprecated and experimental
+APIs. See
+<a href="https://github.com/pytorch/pytorch/blob/cd8bbdc71a0258292381a7d54c8b353988d02ff4/torch/nn/utils/stateless.py#L170">example
+usage</a>.
+
+</ul>
+   </td>
+  </tr>
+  <tr>
+   <td>C++
+   </td>
+   <td>
+
+Use the <code>ET_DEPRECATED</code> annotation macro. See <a href="https://github.com/pytorch/executorch/blob/8e0f856ee269b319ac4195509cf31e3f548aa0e8/runtime/executor/program.h#L81">example usage</a>.
+
+<p>
+<p>
+Use the <code>ET_EXPERIMENTAL</code> annotation macro.
+</ul>
+   </td>
+   <td>
+
+Start Doxygen comments with <code>DEPRECATED:</code> See
+<a href="https://github.com/pytorch/executorch/blob/9d859653ae916d0a72f6b2b5c5925bed38832140/runtime/executor/program.h#L139">example
+usage</a>.
+
+<p>
+<p>
+Start Doxygen comments with <code>EXPERIMENTAL:</code>.
+   </td>
+  </tr>
+  <tr>
+   <td>Java
+   </td>
+   <td>
+
+Use <a href="https://docs.oracle.com/javase/9/docs/api/java/lang/Deprecated.html">java.lang.Deprecated</a>.
+
+<p>
+<p>
+
+Use <a href="https://cs.android.com/androidx/platform/frameworks/support/+/androidx-main:docs/api_guidelines/annotations.md">androidx.annotation.RequiresOptIn</a>.
+
+   </td>
+   <td>
+<p>
+<pre><code>/**
+* @deprecated Use {@link #newMethod()} instead.
+*/
+</code></pre>
+<p>
+<pre><code>/**
+* Warning: This API is experimental.
+*/</code></pre>
+   </td>
+  </tr>
+  <tr>
+   <td>Objective-C
+   </td>
+   <td>
+<p>
+<code>__attribute__((deprecated("Use newMethod instead")));</code>
+<p>
+<p>
+<code>__attribute__((deprecated("This API is experimental and may change without notice.")));</code>
+   </td>
+   <td>
+<p>
+<pre><code>
+/**
+* @deprecated Use `newMethod` instead.
+*/
+</code></pre>
+<p>
+<pre><code>
+/**
+* @experimental This API is experimental.
+*/</code></pre>
+<p>
+   </td>
+  </tr>
+  <tr>
+   <td>Swift
+   </td>
+   <td>
+<p>
+<code>@available(*, deprecated, message: "Use newMethod instead")</code>
+<p>
+<p>
+<code>@available(*, message: "This API is experimental")</code>
+   </td>
+   <td>
+<p>
+<code>/// - Warning: Deprecated. Use `newMethod()` instead.</code>
+<p>
+<code>/// - Warning: This API is experimental.</code>
+   </td>
+  </tr>
+</table>
+
+The annotations would trigger static and/or runtime warning that contains at
+least these information:
+
+1. Clearly point to the non-deprecated alternative to migrate to, or be clear if
+   there is no alternative;
+2. Specify the earliest version in which the API may actually be removed (See
+   “Deprecation Period” below).
+
+## Deprecation Period
+
+Here we recommend waiting for at least 2 minor releases before the removal. For
+example, if a function is marked as _deprecated_ in release 1.3.x, then it can
+be _deleted_ in 1.5.x or later.
diff --git a/docs/source/build-run-coreml.md b/docs/source/build-run-coreml.md
index 39794ac06c..52755773ee 100644
--- a/docs/source/build-run-coreml.md
+++ b/docs/source/build-run-coreml.md
@@ -127,7 +127,7 @@ python examples/apple/coreml/scripts/inspector_cli.py --etdump_path etdump.etdp
 1. Build frameworks, running the following will create a `executorch.xcframework` and `coreml_backend.xcframework` in the `cmake-out` directory.
 ```bash
 cd executorch
-./build/build_apple_frameworks.sh --Release --coreml
+./build/build_apple_frameworks.sh --coreml
 ```
 2. Create a new [Xcode project](https://developer.apple.com/documentation/xcode/creating-an-xcode-project-for-an-app#) or open an existing project.
 
diff --git a/docs/source/build-run-qualcomm-ai-engine-direct-backend.md b/docs/source/build-run-qualcomm-ai-engine-direct-backend.md
index ff5cb51595..94a936b2e7 100644
--- a/docs/source/build-run-qualcomm-ai-engine-direct-backend.md
+++ b/docs/source/build-run-qualcomm-ai-engine-direct-backend.md
@@ -5,6 +5,7 @@ build ExecuTorch for Qualcomm AI Engine Direct and running a model on it.
 
 Qualcomm AI Engine Direct is also referred to as QNN in the source and documentation.
 
+
 <!----This will show a grid card on the page----->
 ::::{grid} 2
 :::{grid-item-card}  What you will learn in this tutorial:
@@ -35,11 +36,10 @@ Currently, this ExecuTorch Backend can delegate AI computations to Hexagon proce
 
 ### Host OS
 
-The Linux host operating system that QNN Backend is verified with is Ubuntu 20.04 LTS x64.
-
-However, because Qualcomm Package Manager(QPM) used to download necessary SDK (see below)
-only support Ubuntu, we recommend users to exercise this tutorial exacly
-on Ubuntu 20.04.
+The Linux host operating system that QNN Backend is verified with is Ubuntu 22.04 LTS x64
+at the moment of updating this tutorial.
+Usually, we verified the backend on the same OS version which QNN is verified with.
+The version is documented in QNN SDK.
 
 ### Hardware:
 You will need an Android smartphone with adb-connected running on one of below Qualcomm SoCs:
@@ -53,20 +53,16 @@ This example is verified with SM8550 and SM8450.
 ### Software:
 
  - Follow ExecuTorch recommended Python version.
- - A compiler to compile AOT parts. GCC 9.4 come with Ubuntu20.04 is verified.
- - [Android NDK](https://developer.android.com/ndk). This example is verified with NDK 25c.
+ - A compiler to compile AOT parts, e.g., the GCC compiler comes with Ubuntu LTS.
+ - [Android NDK](https://developer.android.com/ndk). This example is verified with NDK 26c.
  - [Qualcomm AI Engine Direct SDK](https://developer.qualcomm.com/software/qualcomm-ai-engine-direct-sdk)
-   - Follow the download button. After logging in, search Qualcomm AI Stack at the *Tool* panel.
-   - You can find Qualcomm AI Engine Direct SDK under the AI Stack group.
-   - Please download the Linux version, and follow instructions on the page to extract the file.
-   - The SDK should be installed to somewhere `/opt/qcom/aistack/qnn` by default.
-   - It's also OK to place it somewhere else. We don't have assumption about the absolute path of the SDK.
-   - This example is verified with version 2.12.0.
+   - Click the "Get Software" button to download a version of QNN SDK.
+   - However, at the moment of updating this tutorial, the above website doesn't provide QNN SDK newer than 2.22.6.
+   - The below is public links to download various QNN versions. Hope they can be publicly discoverable soon.
+   - [QNN 2.26.0](https://softwarecenter.qualcomm.com/api/download/software/qualcomm_neural_processing_sdk/v2.26.0.240828.zip)
 
 The directory with installed Qualcomm AI Engine Direct SDK looks like:
 ```
-$ tree -L 1 /opt/qcom/aistack/qnn/<version>/
-/opt/qcom/aistack/qnn/<version>/
 ├── benchmarks
 ├── bin
 ├── docs
@@ -74,11 +70,15 @@ $ tree -L 1 /opt/qcom/aistack/qnn/<version>/
 ├── include
 ├── lib
 ├── LICENSE.pdf
+├── NOTICE.txt
+├── NOTICE_WINDOWS.txt
 ├── QNN_NOTICE.txt
 ├── QNN_README.txt
 ├── QNN_ReleaseNotes.txt
-├── share
-└── Uninstall
+├── ReleaseNotes.txt
+├── ReleaseNotesWindows.txt
+├── sdk.yaml
+└── share
 ```
 
 
@@ -89,7 +89,7 @@ $ tree -L 1 /opt/qcom/aistack/qnn/<version>/
 `$QNN_SDK_ROOT` refers to the root of Qualcomm AI Engine Direct SDK,
 i.e., the directory containing `QNN_README.txt`.
 
-`$ANDROID_NDK` refers to the root of Android NDK.
+`$ANDROID_NDK_ROOT` refers to the root of Android NDK.
 
 `$EXECUTORCH_ROOT` refers to the root of executorch git repository.
 
@@ -107,7 +107,16 @@ export PYTHONPATH=$EXECUTORCH_ROOT/..
 
 ## Build
 
-An example script for below building instructions is [here](https://github.com/pytorch/executorch/blob/main/backends/qualcomm/scripts/build.sh).
+An example script for the below building instructions is [here](https://github.com/pytorch/executorch/blob/main/backends/qualcomm/scripts/build.sh).
+We recommend to use the script because the ExecuTorch build-command can change from time to time.
+The above script is actively used. It is updated more frquently than this tutorial.
+An example usage is
+```bash
+cd $EXECUTORCH_ROOT
+./backends/qualcomm/scripts/build.sh
+# or
+./backends/qualcomm/scripts/build.sh --release
+```
 
 ### AOT (Ahead-of-time) components:
 
@@ -115,14 +124,24 @@ Python APIs on x64 are required to compile models to Qualcomm AI Engine Direct b
 
 ```bash
 cd $EXECUTORCH_ROOT
-# Workaround for fbs files in exir/_serialize
-cp schema/program.fbs exir/_serialize/program.fbs
-cp schema/scalar_type.fbs exir/_serialize/scalar_type.fbs
-
-mkdir build_x86_64
-cd build_x86_64
-cmake .. -DEXECUTORCH_BUILD_QNN=ON -DQNN_SDK_ROOT=${QNN_SDK_ROOT}
-cmake --build . -t "PyQnnManagerAdaptor" "PyQnnWrapperAdaptor" -j8
+mkdir build-x86
+cd build-x86
+# Note that the below command might change.
+# Please refer to the above build.sh for latest workable commands.
+cmake .. \
+  -DCMAKE_INSTALL_PREFIX=$PWD \
+  -DEXECUTORCH_BUILD_QNN=ON \
+  -DQNN_SDK_ROOT=${QNN_SDK_ROOT} \
+  -DEXECUTORCH_BUILD_DEVTOOLS=ON \
+  -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+  -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
+  -DEXECUTORCH_ENABLE_EVENT_TRACER=ON \
+  -DPYTHON_EXECUTABLE=python3 \
+  -DEXECUTORCH_SEPARATE_FLATCC_HOST_PROJECT=OFF
+
+# nproc is used to detect the number of available CPU.
+# If it is not applicable, please feel free to use the number you want.
+cmake --build $PWD --target "PyQnnManagerAdaptor" "PyQnnWrapperAdaptor" -j$(nproc)
 
 # install Python APIs to correct import path
 # The filename might vary depending on your Python and host version.
@@ -138,49 +157,59 @@ Commands to build `qnn_executor_runner` for Android:
 
 ```bash
 cd $EXECUTORCH_ROOT
-mkdir build_android
-cd build_android
+mkdir build-android
+cd build-android
 # build executorch & qnn_executorch_backend
 cmake .. \
     -DCMAKE_INSTALL_PREFIX=$PWD \
-    -DEXECUTORCH_BUILD_SDK=ON \
     -DEXECUTORCH_BUILD_QNN=ON \
-    -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
     -DQNN_SDK_ROOT=$QNN_SDK_ROOT \
-    -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake \
+    -DEXECUTORCH_BUILD_DEVTOOLS=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
+    -DEXECUTORCH_ENABLE_EVENT_TRACER=ON \
+    -DPYTHON_EXECUTABLE=python3 \
+    -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK_ROOT/build/cmake/android.toolchain.cmake \
     -DANDROID_ABI='arm64-v8a' \
-    -DANDROID_NATIVE_API_LEVEL=23 \
-    -B$PWD
+    -DANDROID_NATIVE_API_LEVEL=23
 
-cmake --build $PWD -j16 --target install
+# nproc is used to detect the number of available CPU.
+# If it is not applicable, please feel free to use the number you want.
+cmake --build $PWD --target install -j$(nproc)
 
 cmake ../examples/qualcomm \
-    -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake \
+    -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK_ROOT/build/cmake/android.toolchain.cmake \
     -DANDROID_ABI='arm64-v8a' \
     -DANDROID_NATIVE_API_LEVEL=23 \
     -DCMAKE_PREFIX_PATH="$PWD/lib/cmake/ExecuTorch;$PWD/third-party/gflags;" \
     -DCMAKE_FIND_ROOT_PATH_MODE_PACKAGE=BOTH \
+    -DPYTHON_EXECUTABLE=python3 \
     -Bexamples/qualcomm
 
-cmake --build examples/qualcomm -j16
+cmake --build examples/qualcomm -j$(nproc)
+
+# qnn_executor_runner can be found under examples/qualcomm
+# The full path is $EXECUTORCH_ROOT/build-android/examples/qualcomm/qnn_executor_runner
+ls examples/qualcomm
 ```
 
 **Note:** If you want to build for release, add `-DCMAKE_BUILD_TYPE=Release` to the `cmake` command options.
 
-You can find `qnn_executor_runner` under `build_android/examples/qualcomm/`.
-
-The build script is also available [here](https://github.com/pytorch/executorch/blob/main/backends/qualcomm/scripts/build.sh).
 
 ## Deploying and running on device
 
 ### AOT compile a model
 
-You can refer to [this script](https://github.com/pytorch/executorch/blob/main/examples/qualcomm/scripts/deeplab_v3.py) for the exact flow.
+Refer to [this script](https://github.com/pytorch/executorch/blob/main/examples/qualcomm/scripts/deeplab_v3.py) for the exact flow.
 We use deeplab-v3-resnet101 as an example in this tutorial. Run below commands to compile:
 
-```
+```bash
 cd $EXECUTORCH_ROOT
-python -m examples.qualcomm.scripts.deeplab_v3 -b build_android -m SM8550 --compile_only --download
+# Workaround for fbs files in exir/_serialize
+cp schema/program.fbs exir/_serialize/program.fbs
+cp schema/scalar_type.fbs exir/_serialize/scalar_type.fbs
+
+python -m examples.qualcomm.scripts.deeplab_v3 -b build-android -m SM8550 --compile_only --download
 ```
 
 You might see something like below:
@@ -203,6 +232,58 @@ output         output                    output                       ([getitem_
 The compiled model is `./deeplab_v3/dlv3_qnn.pte`.
 
 
+### Test model inference on QNN HTP emulator
+
+We can test model inferences before deploying it to a device by HTP emulator.
+
+Let's build `qnn_executor_runner` for a x64 host:
+```bash
+# assuming the AOT component is built.
+cd $EXECUTORCH_ROOT/build-x86
+cmake ../examples/qualcomm \
+  -DCMAKE_PREFIX_PATH="$PWD/lib/cmake/ExecuTorch;$PWD/third-party/gflags;" \
+  -DCMAKE_FIND_ROOT_PATH_MODE_PACKAGE=BOTH \
+  -DPYTHON_EXECUTABLE=python3 \
+  -Bexamples/qualcomm
+
+cmake --build examples/qualcomm -j$(nproc)
+
+# qnn_executor_runner can be found under examples/qualcomm
+# The full path is $EXECUTORCH_ROOT/build-x86/examples/qualcomm/qnn_executor_runner
+ls examples/qualcomm/
+```
+
+To run the HTP emulator, the dynamic linker need to access QNN libraries and `libqnn_executorch_backend.so`.
+We set the below two paths to `LD_LIBRARY_PATH` environment variable:
+  1. `$QNN_SDK_ROOT/lib/x86_64-linux-clang/`
+  2. `$EXECUTORCH_ROOT/build-x86/lib/`
+
+The first path is for QNN libraries including HTP emulator. It has been configured in the AOT compilation section.
+
+The second path is for `libqnn_executorch_backend.so`.
+
+So, we can run `./deeplab_v3/dlv3_qnn.pte` by:
+```bash
+cd $EXECUTORCH_ROOT/build-x86
+export LD_LIBRARY_PATH=$EXECUTORCH_ROOT/build-x86/lib/:$LD_LIBRARY_PATH
+examples/qualcomm/qnn_executor_runner --model_path ../deeplab_v3/dlv3_qnn.pte
+```
+
+We should see some outputs like the below. Note that the emulator can take some time to finish.
+```bash
+I 00:00:00.354662 executorch:qnn_executor_runner.cpp:213] Method loaded.
+I 00:00:00.356460 executorch:qnn_executor_runner.cpp:261] ignoring error from set_output_data_ptr(): 0x2
+I 00:00:00.357991 executorch:qnn_executor_runner.cpp:261] ignoring error from set_output_data_ptr(): 0x2
+I 00:00:00.357996 executorch:qnn_executor_runner.cpp:265] Inputs prepared.
+
+I 00:01:09.328144 executorch:qnn_executor_runner.cpp:414] Model executed successfully.
+I 00:01:09.328159 executorch:qnn_executor_runner.cpp:421] Write etdump to etdump.etdp, Size = 424
+[INFO] [Qnn ExecuTorch]: Destroy Qnn backend parameters
+[INFO] [Qnn ExecuTorch]: Destroy Qnn context
+[INFO] [Qnn ExecuTorch]: Destroy Qnn device
+[INFO] [Qnn ExecuTorch]: Destroy Qnn backend
+```
+
 ### Run model inference on an Android smartphone with Qualcomm SoCs
 
 ***Step 1***. We need to push required QNN libraries to the device.
@@ -212,11 +293,13 @@ The compiled model is `./deeplab_v3/dlv3_qnn.pte`.
 DEVICE_DIR=/data/local/tmp/executorch_qualcomm_tutorial/
 adb shell "mkdir -p ${DEVICE_DIR}"
 adb push ${QNN_SDK_ROOT}/lib/aarch64-android/libQnnHtp.so ${DEVICE_DIR}
+adb push ${QNN_SDK_ROOT}/lib/aarch64-android/libQnnSystem.so ${DEVICE_DIR}
 adb push ${QNN_SDK_ROOT}/lib/aarch64-android/libQnnHtpV69Stub.so ${DEVICE_DIR}
 adb push ${QNN_SDK_ROOT}/lib/aarch64-android/libQnnHtpV73Stub.so ${DEVICE_DIR}
-adb push ${QNN_SDK_ROOT}/lib/aarch64-android/libQnnSystem.so ${DEVICE_DIR}
+adb push ${QNN_SDK_ROOT}/lib/aarch64-android/libQnnHtpV75Stub.so ${DEVICE_DIR}
 adb push ${QNN_SDK_ROOT}/lib/hexagon-v69/unsigned/libQnnHtpV69Skel.so ${DEVICE_DIR}
 adb push ${QNN_SDK_ROOT}/lib/hexagon-v73/unsigned/libQnnHtpV73Skel.so ${DEVICE_DIR}
+adb push ${QNN_SDK_ROOT}/lib/hexagon-v75/unsigned/libQnnHtpV75Skel.so ${DEVICE_DIR}
 ```
 
 ***Step 2***.  We also need to indicate dynamic linkers on Android and Hexagon
@@ -225,8 +308,8 @@ So, we can run `qnn_executor_runner` like
 
 ```bash
 adb push ./deeplab_v3/dlv3_qnn.pte ${DEVICE_DIR}
-adb push ${EXECUTORCH_ROOT}/build_android/examples/qualcomm/qnn_executor_runner ${DEVICE_DIR}
-adb push ${EXECUTORCH_ROOT}/build_android/lib/libqnn_executorch_backend.so ${DEVICE_DIR}
+adb push ${EXECUTORCH_ROOT}/build-android/examples/qualcomm/executor_runner/qnn_executor_runner ${DEVICE_DIR}
+adb push ${EXECUTORCH_ROOT}/build-android/lib/libqnn_executorch_backend.so ${DEVICE_DIR}
 adb shell "cd ${DEVICE_DIR} \
            && export LD_LIBRARY_PATH=${DEVICE_DIR} \
            && export ADSP_LIBRARY_PATH=${DEVICE_DIR} \
@@ -236,12 +319,28 @@ adb shell "cd ${DEVICE_DIR} \
 You should see something like below:
 
 ```
-I 00:00:01.835706 executorch:qnn_executor_runner.cpp:298] 100 inference took 1096.626000 ms, avg 10.966260 ms
-[INFO][Qnn ExecuTorch] Destroy Qnn backend parameters
-[INFO][Qnn ExecuTorch] Destroy Qnn context
-[INFO][Qnn ExecuTorch] Destroy Qnn device
-[INFO][Qnn ExecuTorch] Destroy Qnn backend
+I 00:00:00.257354 executorch:qnn_executor_runner.cpp:213] Method loaded.
+I 00:00:00.323502 executorch:qnn_executor_runner.cpp:262] ignoring error from set_output_data_ptr(): 0x2
+I 00:00:00.357496 executorch:qnn_executor_runner.cpp:262] ignoring error from set_output_data_ptr(): 0x2
+I 00:00:00.357555 executorch:qnn_executor_runner.cpp:265] Inputs prepared.
+I 00:00:00.364824 executorch:qnn_executor_runner.cpp:414] Model executed successfully.
+I 00:00:00.364875 executorch:qnn_executor_runner.cpp:425] Write etdump to etdump.etdp, Size = 424
+[INFO] [Qnn ExecuTorch]: Destroy Qnn backend parameters
+[INFO] [Qnn ExecuTorch]: Destroy Qnn context
+[INFO] [Qnn ExecuTorch]: Destroy Qnn backend
+```
+
+The model is merely executed. If we want to feed real inputs and get model outputs, we can use
+```bash
+cd $EXECUTORCH_ROOT
+python -m examples.qualcomm.scripts.deeplab_v3 -b build-android -m SM8550 --download -s <device_serial>
 ```
+The `<device_serial>` can be found by `adb devices` command.
+
+After the above command, pre-processed inputs and outputs are put in `$EXECUTORCH_ROOT/deeplab_v3` and `$EXECUTORCH_ROOT/deeplab_v3/outputs` folder.
+
+The command-line arguents are written in [utils.py](https://github.com/pytorch/executorch/blob/main/examples/qualcomm/scripts/utils.py#L127).
+The model, inputs, and output location are passed to `qnn_executorch_runner` by `--model_path`, `--input_list_path`, and `--output_folder_path`.
 
 
 ### Running a model via ExecuTorch's android demo-app
@@ -249,11 +348,14 @@ I 00:00:01.835706 executorch:qnn_executor_runner.cpp:298] 100 inference took 109
 An Android demo-app using Qualcomm AI Engine Direct Backend can be found in
 `examples`. Please refer to android demo app [tutorial](https://pytorch.org/executorch/stable/demo-apps-android.html).
 
+## Supported model list
+
+Please refer to `$EXECUTORCH_ROOT/examples/qualcomm/scripts/` and `EXECUTORCH_ROOT/examples/qualcomm/oss_scripts/` to the list of supported models.
 
 ## What is coming?
 
- - [An example using quantized mobilebert](https://github.com/pytorch/executorch/pull/1043) to solve multi-class text classification.
- - More Qualcomm AI Engine Direct accelerators, e.g., GPU.
+ - Improve the performance for llama3-8B-Instruct and support batch prefill.
+ - We will support pre-compiled binaries from [Qualcomm AI Hub](https://aihub.qualcomm.com/).
 
 ## FAQ
 
diff --git a/docs/source/compiler-delegate-and-partitioner.md b/docs/source/compiler-delegate-and-partitioner.md
index 52a515aa7f..c82af7d98f 100644
--- a/docs/source/compiler-delegate-and-partitioner.md
+++ b/docs/source/compiler-delegate-and-partitioner.md
@@ -87,22 +87,22 @@ function which will be called when the program is out of its lifespan.
 
 ```cpp
 // Runtime check
-__ET_NODISCARD bool is_available();
+ET_NODISCARD bool is_available();
 
 // Runtime initialization
-__ET_NODISCARD virtual Result<DelegateHandle*> init(
+ET_NODISCARD virtual Result<DelegateHandle*> init(
     BackendInitContext& context,
     FreeableBuffer* processed,
     ArrayRef<CompileSpec> compile_specs);
 
 // Runtime execution
-__ET_NODISCARD virtual Error execute(
+ET_NODISCARD virtual Error execute(
     BackendExecutionContext& context,
     DelegateHandle* handle,
     EValue** args);
 
 // [optional] Runtime destroy. Destroy the resource held by the backend
-virtual void destroy(__ET_UNUSED DelegateHandle* handle);
+virtual void destroy(ET_UNUSED DelegateHandle* handle);
 ```
 
 The diagram looks like following
@@ -114,7 +114,7 @@ The diagram looks like following
 
 In order to make backend available to ExecuTorch runtime, it must be registered via the `register_backend` API:
 ```cpp
-__ET_NODISCARD Error register_backend(const Backend& backend);
+ET_NODISCARD Error register_backend(const Backend& backend);
 ```
 
 Static registeration, i.e., at libraray init or load time, of a backend can be achieved as follows:
@@ -127,13 +127,13 @@ static auto success_with_compiler = register_backend(backend);
 ```
 
 
-## SDK Integration: Debuggability
+## Developer Tools Integration: Debuggability
 
-Providing consistent debugging experience, be it for runtime failures or performance profiling, is important. ExecuTorch employs native SDK (Software Development Kit) for this purpose, which enables correlating program instructions to original PyTorch code, via debug handles. You can read more about it [here](./sdk-etrecord).
+Providing consistent debugging experience, be it for runtime failures or performance profiling, is important. ExecuTorch employs native Developer Tools for this purpose, which enables correlating program instructions to original PyTorch code, via debug handles. You can read more about it [here](./sdk-etrecord).
 
-Delegated program or subgraphs are opaque to ExecuTorch runtime and appear as a special `call_delegate` instruction, which asks corresponding backend to handle the execution of the subgraph or program. Due to the opaque nature of backend delgates, native SDK does not have visibility into delegated program. Thus the debugging, functional or performance, experiences of delegated execution suffers significantly as compared to it's non-delegated counterpart.
+Delegated program or subgraphs are opaque to ExecuTorch runtime and appear as a special `call_delegate` instruction, which asks corresponding backend to handle the execution of the subgraph or program. Due to the opaque nature of backend delgates, native Developer Tools does not have visibility into delegated program. Thus the debugging, functional or performance, experiences of delegated execution suffers significantly as compared to it's non-delegated counterpart.
 
-In order to provide consistent debugging experience to users, regardless of the use of delegation for a model, SDK provides an interface to correlate delegated (sub)graph to original (sub)graph. The SDK does so via debug handles map which allows delegates to generate internal handles that can be associated with the original (sub)graph consumed by the delegate. Then at runtime, backend developer can report error or profiling information using the internal handle, which will be mapped to original (sub)graph using the debug handle map. For more information, please refer to [SDK delegate integration](./sdk-delegate-integration).
+In order to provide consistent debugging experience to users, regardless of the use of delegation for a model, Developer Tools provide an interface to correlate delegated (sub)graph to original (sub)graph. The Developer Tools do so via debug handles map which allows delegates to generate internal handles that can be associated with the original (sub)graph consumed by the delegate. Then at runtime, backend developer can report error or profiling information using the internal handle, which will be mapped to original (sub)graph using the debug handle map. For more information, please refer to [Developer Tools Delegate Integration](./sdk-delegate-integration).
 
 By leveraging the debug identifier, backend developer can embed the debug as part of the delegated blob
 
diff --git a/docs/source/compiler-memory-planning.md b/docs/source/compiler-memory-planning.md
index 1dad3b032f..fcad2eca58 100644
--- a/docs/source/compiler-memory-planning.md
+++ b/docs/source/compiler-memory-planning.md
@@ -32,7 +32,6 @@ The `MemoryPlanningPass` exposes the option to not memory plan program inputs an
 program = edge_program.to_executorch(
             exir.ExecutorchBackendConfig(
                 memory_planning_pass=MemoryPlanningPass(
-                    memory_planning_algo="greedy",
                     alloc_graph_input=False, # Inputs will not be memory planned, the data_ptr for input tensors after model load will be nullptr
                     alloc_graph_output=True, # Outputs will be memory planned, the data_ptr for input tensors after model load will be in the `planned_memory`.
                 )
@@ -77,7 +76,7 @@ Then later when lowering to ExecuTorch you can use your custom plan in the follo
 program = edge_program.to_executorch(
             exir.ExecutorchBackendConfig(
                 memory_planning_pass=CustomPoolMemoryPlanningPass(
-                    memory_planning_algo="greedy",
+                    memory_planning_algo=greedy,
                 )
             )
         )
diff --git a/docs/source/concepts.md b/docs/source/concepts.md
index 33d944c376..c085505b61 100644
--- a/docs/source/concepts.md
+++ b/docs/source/concepts.md
@@ -283,9 +283,9 @@ Techniques for performing computations and memory accesses on tensors with lower
 
 The ExecuTorch runtime executes models on edge devices. It is responsible for program initialization, program execution and, optionally, destruction (releasing backend owned resources).
 
-## [SDK](./sdk-overview.md)
+## [Developer Tools](./devtools-overview.md)
 
-Software Development Kit. The tooling users need to profile, debug and visualize programs that are running with ExecuTorch.
+A collection of tools users need to profile, debug and visualize programs that are running with ExecuTorch.
 
 ## [Selective build](./kernel-library-selective-build.md)
 
diff --git a/docs/source/devtools-overview.md b/docs/source/devtools-overview.md
new file mode 100644
index 0000000000..13fd8e0059
--- /dev/null
+++ b/docs/source/devtools-overview.md
@@ -0,0 +1,44 @@
+# Introduction to the ExecuTorch Developer Tools
+
+ExecuTorch has been designed with [productivity](./intro-overview.md) as one of its core objectives and the ExecuTorch Developer Tools enable this through the comprehensive suite of tools it provides users to help them profile, debug, and visualize models that they have onboarded onto ExecuTorch.
+
+All the components of the Developer Tools have been designed from the ground up with deep integration in both the export process and the runtime. This enables us to provide unique features such as linking back operator execution in the runtime to the line of code in the original eager model that this operator originated from.
+
+## Developer Tools Features
+
+The ExecuTorch Developer Tools support the following features:
+
+- **BundledProgram** is a utility tool for exporting the model bundled with a sample set of (representative) inputs and expected outputs, so that during runtime users can validate that the actual output is in fact the same as the expected output.
+- **Profiling** models with operator level breakdown of performance stats
+    - Linking back operator performance stats to source code and module hierarchy
+    - Model loading and execution time
+- **Delegate Integration** - Surfacing performance details from delegate backends
+    - Link back delegate operator execution to the nodes they represent in the edge dialect graph (and subsequently linking back to source code and module hierarchy)
+- **Debugging** - Intermediate outputs and output quality analysis
+- **Visualization** - Coming soon
+
+## Fundamental components of the Developer Tools
+
+In order to fully understand and leverage the power of the Developer Tools in this section, the fundamental components that power the Developer Tools will be detailed.
+
+### ETRecord
+ETRecord (ExecuTorch Record) is an artifact generated during the export process that stores the graphs and other metadata that is critical for the Developer Tools to be able to link back the performance/debug data sourced from the runtime to the source code of the eager model.
+
+To draw a rough equivalence to conventional software development ETRecord can be considered as the binary built with debug symbols that is used for debugging in GNU Project debugger (gdb).
+
+More details are available in the [ETRecord documentation](sdk-etrecord.rst) on how to generate and store an ETRecord.
+
+### ETDump
+ETDump (ExecuTorch Dump) is the binary blob that is generated by the runtime after running a model. Similarly as above, to draw a rough equivalence to conventional software development, ETDump can be considered as the coredump of ExecuTorch, but in this case within ETDump we store all the performance and debug data that was generated by the runtime during model execution.
+
+```{note}
+If you only care about looking at the raw performance data without linking back to source code and other extensive features, an ETDump alone will be enough to leverage the basic features of the Developer Tools. For the full experience, it is recommended that the users also generate an ETRecord.
+```
+
+More details are available in the [ETDump documentation](sdk-etdump.md) on how to generate and store an ETDump from the runtime.
+
+
+### Inspector APIs
+The Inspector Python APIs are the main user enrty point into the Developer Tools. They join the data sourced from ETDump and ETRecord to give users access to all the performance and debug data sourced from the runtime along with linkage back to eager model source code and module hierarchy in an easy to use API.
+
+More details are available in the [Inspector API documentation](sdk-inspector.rst) on how to use the Inspector APIs.
diff --git a/docs/source/devtools-tutorial.md b/docs/source/devtools-tutorial.md
new file mode 100644
index 0000000000..33d78cf58d
--- /dev/null
+++ b/docs/source/devtools-tutorial.md
@@ -0,0 +1,3 @@
+## Developer Tools Usage Tutorial
+
+Please refer to the [Developer Tools tutorial](./tutorials/devtools-integration-tutorial) for a walkthrough on how to profile a model in ExecuTorch using the Developer Tools.
diff --git a/docs/source/executorch-runtime-api-reference.rst b/docs/source/executorch-runtime-api-reference.rst
index 20dbc631f2..008030b84d 100644
--- a/docs/source/executorch-runtime-api-reference.rst
+++ b/docs/source/executorch-runtime-api-reference.rst
@@ -6,6 +6,8 @@ The ExecuTorch C++ API provides an on-device execution framework for exported Py
 For a tutorial style introduction to the runtime API, check out the
 `runtime tutorial <running-a-model-cpp-tutorial.html>`__ and its `simplified <extension-module.html>`__ version.
 
+For detailed information on how APIs evolve and the deprecation process, please refer to the `ExecuTorch API Life Cycle and Deprecation Policy <api-life-cycle.html>`__.
+
 Model Loading and Execution
 ---------------------------
 
diff --git a/docs/source/export-to-executorch-api-reference.rst b/docs/source/export-to-executorch-api-reference.rst
index 2150ac7f8c..5560e75e21 100644
--- a/docs/source/export-to-executorch-api-reference.rst
+++ b/docs/source/export-to-executorch-api-reference.rst
@@ -1,6 +1,8 @@
 Export to ExecuTorch API Reference
 ----------------------------------
 
+For detailed information on how APIs evolve and the deprecation process, please refer to the `ExecuTorch API Life Cycle and Deprecation Policy <api-life-cycle.html>`__.
+
 .. automodule:: executorch.exir
 .. autofunction:: to_edge
 
diff --git a/docs/source/extension-module.md b/docs/source/extension-module.md
index 9e236e8e48..7516184d1c 100644
--- a/docs/source/extension-module.md
+++ b/docs/source/extension-module.md
@@ -22,7 +22,7 @@ Tensor::SizesType sizes[] = {1, 3, 256, 256};
 TensorImpl tensor(ScalarType::Float, std::size(sizes), sizes, input);
 
 // Perform an inference.
-const auto result = module.forward({EValue(Tensor(&tensor))});
+const auto result = module.forward(Tensor(&tensor));
 
 // Check for success or failure.
 if (result.ok()) {
@@ -105,13 +105,13 @@ Note: `method_meta()` will try to force-load the `Method` when called for the fi
 Assuming that the `Program`'s method names and their input format is known ahead of time, we rarely need to query for those and can run the methods directly by name using the `execute()` function:
 
 ```cpp
-const auto result = module.execute("forward", {EValue(Tensor(&tensor))});
+const auto result = module.execute("forward", Tensor(&tensor));
 ```
 
 Which can also be simplified for the standard `forward()` method name as:
 
 ```cpp
-const auto result = module.forward({EValue(Tensor(&tensor))});
+const auto result = module.forward(Tensor(&tensor));
 ```
 
 Note: `execute()` or `forward()` will try to force load the `Program` and the `Method` when called for the first time. Therefore, the first inference will take more time than subsequent ones as it loads the model lazily and prepares it for execution unless the `Program` or `Method` was loaded explicitly earlier using the corresponding functions.
@@ -132,7 +132,7 @@ Use [ExecuTorch Dump](sdk-etdump.md) to trace model execution. Create an instanc
 #include <fstream>
 #include <memory>
 #include <executorch/extension/module/module.h>
-#include <executorch/sdk/etdump/etdump_flatcc.h>
+#include <executorch/devtools/etdump/etdump_flatcc.h>
 
 using namespace ::torch::executor;
 
diff --git a/docs/source/getting-started-architecture.md b/docs/source/getting-started-architecture.md
index 2c3f85aff1..937b5b389f 100644
--- a/docs/source/getting-started-architecture.md
+++ b/docs/source/getting-started-architecture.md
@@ -87,8 +87,8 @@ The ExecuTorch runtime is written in C++ with minimal dependencies for portabili
 
 _Executor_ is the entry point to load the program and execute it. The execution triggers corresponding operator kernels or backend execution from this very minimal runtime.
 
-## SDK
+## Developer Tools
 
-It should be efficient for users to go from research to production using the flow above. Productivity is essentially important, for users to author, optimize and deploy their models. We provide [ExecuTorch SDK](./sdk-overview.md) to improve productivity. The SDK is not in the diagram. Instead it's a tool set that covers the developer workflow in all three phases.
+It should be efficient for users to go from research to production using the flow above. Productivity is essentially important, for users to author, optimize and deploy their models. We provide [ExecuTorch Developer Tools](./devtools-overview.md) to improve productivity. The Developer Tools are not in the diagram. Instead it's a tool set that covers the developer workflow in all three phases.
 
-During the program preparation and execution, users can use the ExecuTorch SDK to profile, debug, or visualize the program. Since the end-to-end flow is within the PyTorch ecosystem, users can correlate and display performance data along with graph visualization as well as direct references to the program source code and model hierarchy. We consider this to be a critical component for quickly iterating and lowering PyTorch programs to edge devices and environments.
+During the program preparation and execution, users can use the ExecuTorch Developer Tools to profile, debug, or visualize the program. Since the end-to-end flow is within the PyTorch ecosystem, users can correlate and display performance data along with graph visualization as well as direct references to the program source code and model hierarchy. We consider this to be a critical component for quickly iterating and lowering PyTorch programs to edge devices and environments.
diff --git a/docs/source/getting-started-setup.md b/docs/source/getting-started-setup.md
index d610f020ef..15fa084e33 100644
--- a/docs/source/getting-started-setup.md
+++ b/docs/source/getting-started-setup.md
@@ -59,13 +59,11 @@ also work in similar environments.
   - We recommend `conda` as it provides cross-language
     support and integrates smoothly with `pip` (Python's built-in package manager)
   - Otherwise, Python's built-in virtual environment manager `python venv` is a good alternative.
-* `g++` version 8 or higher, `clang++` version 8 or higher, or another
-  C++17-compatible toolchain that supports GNU C-style [statement
-  expressions](https://gcc.gnu.org/onlinedocs/gcc/Statement-Exprs.html) (`({ ...
-  })` syntax).
+* `g++` version 7 or higher, `clang++` version 5 or higher, or another
+  C++17-compatible toolchain.
 
 Note that the cross-compilable core runtime code supports a wider range of
-toolchains, down to C++11. See the [Runtime Overview](./runtime-overview.md) for
+toolchains, down to C++17. See the [Runtime Overview](./runtime-overview.md) for
 portability details.
 
 ## Quick Setup: Colab/Jupyter Notebook Prototype
@@ -112,6 +110,23 @@ Alternatively, if you would like to experiment with ExecuTorch quickly and easil
    ```
 After setting up your environment, you are ready to convert your PyTorch programs
 to ExecuTorch.
+
+> **_NOTE:_**  Cleaning the build system
+>
+> When fetching a new version of the upstream repo (via `git fetch` or `git
+> pull`) it is a good idea to clean the old build artifacts. The build system
+> does not currently adapt well to changes in build dependencies.
+>
+> You should also update and pull the submodules again, in case their versions
+> have changed.
+>
+> ```bash
+> # From the root of the executorch repo:
+> rm -rf cmake-out pip-out
+> git submodule sync
+> git submodule update --init
+> ```
+
 ## Create an ExecuTorch program
 
 After setting up your environment, you are ready to convert your PyTorch programs
@@ -171,13 +186,30 @@ For now, let's use [`executor_runner`](https://github.com/pytorch/executorch/blo
 ### Build Tooling Setup
 The ExecuTorch repo uses CMake to build its C++ code. Here, we'll configure it to build the `executor_runner` tool to run it on our desktop OS.
   ```bash
-  # Clean and configure the CMake build system. Compiled programs will appear in the executorch/cmake-out directory we create here.
+  # Clean and configure the CMake build system. Compiled programs will
+  # appear in the executorch/cmake-out directory we create here.
   (rm -rf cmake-out && mkdir cmake-out && cd cmake-out && cmake ..)
 
   # Build the executor_runner target
   cmake --build cmake-out --target executor_runner -j9
   ```
 
+> **_NOTE:_**  Cleaning the build system
+>
+> When fetching a new version of the upstream repo (via `git fetch` or `git
+> pull`) it is a good idea to clean the old build artifacts. The build system
+> does not currently adapt well to changes in build dependencies.
+>
+> You should also update and pull the submodules again, in case their versions
+> have changed.
+>
+> ```bash
+> # From the root of the executorch repo:
+> rm -rf cmake-out pip-out
+> git submodule sync
+> git submodule update --init
+> ```
+
 ### Run Your Program
 
 Now that we've exported a program and built the runtime, let's execute it!
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 57dc2c4bcc..7379c35bd2 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -94,7 +94,7 @@ Topics in this section will help you get started with ExecuTorch.
    tutorials/export-to-executorch-tutorial
    running-a-model-cpp-tutorial
    extension-module
-   tutorials/sdk-integration-tutorial
+   tutorials/devtools-integration-tutorial
    apple-runtime
    demo-apps-ios
    demo-apps-android
@@ -126,6 +126,7 @@ Topics in this section will help you get started with ExecuTorch.
 
    export-to-executorch-api-reference
    executorch-runtime-api-reference
+   api-life-cycle
 
 .. toctree::
    :glob:
@@ -192,10 +193,10 @@ Topics in this section will help you get started with ExecuTorch.
 .. toctree::
    :glob:
    :maxdepth: 1
-   :caption: SDK
+   :caption: Developer Tools
    :hidden:
 
-   sdk-overview
+   devtools-overview
    sdk-bundled-io
    sdk-etrecord
    sdk-etdump
@@ -203,7 +204,7 @@ Topics in this section will help you get started with ExecuTorch.
    sdk-debugging
    sdk-inspector
    sdk-delegate-integration
-   sdk-tutorial
+   devtools-tutorial
 
 .. toctree::
    :glob:
@@ -243,11 +244,11 @@ ExecuTorch tutorials.
    :tags:
 
 .. customcarditem::
-   :header: Using the ExecuTorch SDK to Profile a Model
-   :card_description: A tutorial for using the ExecuTorch SDK to profile and analyze a model with linkage back to source code.
+   :header: Using the ExecuTorch Developer Tools to Profile a Model
+   :card_description: A tutorial for using the ExecuTorch Developer Tools to profile and analyze a model with linkage back to source code.
    :image: _static/img/generic-pytorch-logo.png
-   :link: tutorials/sdk-integration-tutorial.html
-   :tags: SDK
+   :link: tutorials/devtools-integration-tutorial.html
+   :tags: devtools
 
 .. customcarditem::
    :header: Integrating and Running ExecuTorch on Apple Platforms
diff --git a/docs/source/intro-overview.md b/docs/source/intro-overview.md
index f80caff467..96c7982b8f 100644
--- a/docs/source/intro-overview.md
+++ b/docs/source/intro-overview.md
@@ -10,9 +10,9 @@ Key value propositions of ExecuTorch are:
 - **Portability:** Compatibility with a wide variety of computing platforms,
   from high-end mobile phones to highly constrained embedded systems and
   microcontrollers.
-- **Productivity:** Enabling developers to use the same toolchains and SDK from
-  PyTorch model authoring and conversion, to debugging and deployment to a wide
-  variety of platforms.
+- **Productivity:** Enabling developers to use the same toolchains and Developer
+  Tools from PyTorch model authoring and conversion, to debugging and deployment
+  to a wide variety of platforms.
 - **Performance:** Providing end users with a seamless and high-performance
   experience due to a lightweight runtime and utilizing full hardware
   capabilities such as CPUs, NPUs, and DSPs.
diff --git a/docs/source/kernel-library-custom-aten-kernel.md b/docs/source/kernel-library-custom-aten-kernel.md
index 8fb4ed96cd..0f060d1c5e 100644
--- a/docs/source/kernel-library-custom-aten-kernel.md
+++ b/docs/source/kernel-library-custom-aten-kernel.md
@@ -3,23 +3,49 @@
 
 At the last stage of [ExecuTorch model exporting](./export-overview.md), we lower the operators in the dialect to the _out variants_ of the [core ATen operators](./ir-ops-set-definition.md). Then we serialize these operator names into the model artifact. During runtime execution, for each operator name we will need to find the actual _kernels_, i.e., the C++ functions that do the heavy-lifting calculations and return results.
 
-Portable kernel library is the in-house default kernel library, it’s easy to use and portable for most of the target backends. However it’s not optimized for performance, because it’s not specialized for any certain target. Therefore we provide kernel registration APIs for ExecuTorch users to easily register their own optimized kernels.
+## Kernel Libraries
+### First-party kernel libraries:
 
+**[Portable kernel library](https://github.com/pytorch/executorch/tree/main/kernels/portable)** is the in-house default kernel library that covers most of the core ATen operators. It’s easy to use/read and is written in portable C++17. However it’s not optimized for performance, because it’s not specialized for any certain target. Therefore we provide kernel registration APIs for ExecuTorch users to easily register their own optimized kernels.
 
-## Design Principles
+**[Optimized kernel library](https://github.com/pytorch/executorch/tree/main/kernels/optimized)** specializes on performance for some of the operators, leveraging existing third party libraries such as [EigenBLAS](https://gitlab.com/libeigen/eigen). This works best along with the portable kernel library, with a good balance on portability and performance. One example of combining these two libraries can be found [here](https://github.com/pytorch/executorch/blob/main/configurations/CMakeLists.txt).
 
-**What do we support?** On the operator coverage side, the kernel registration APIs allow users to register kernels for all core ATen ops as well as custom ops, as long as the custom ops schemas are specified.
+**[Quantized kernel library](https://github.com/pytorch/executorch/tree/main/kernels/quantized)** implements operators for quantization and dequantization. These are out of core ATen operators but are vital to most of the production use cases.
 
-Notice that we also support _partial kernels, _for example the kernel only supports a subset of tensor dtypes and/or dim orders.
+### Custom kernel libraries:
 
-**Kernel contract**: kernels need to comply with the following requirements:
+**Custom kernels implementing core ATen ops**. Even though we don't have an internal example for custom kernels for core ATen ops, the optimized kernel library can be viewed as a good example. We have optimized [`add.out`](https://github.com/pytorch/executorch/blob/main/kernels/optimized/cpu/op_add.cpp) and a portable [`add.out`](https://github.com/pytorch/executorch/blob/main/kernels/portable/cpu/op_add.cpp). When user is combining these two libraries, we provide APIs to choose which kernel to use for `add.out`. In order to author and use custom kernels implementing core ATen ops, using the [YAML based approach](#yaml-entry-for-core-aten-op-out-variant) is recommended, because it provides full fledged support on
+  1. combining kernel libraries and define fallback kernels;
+  2. using selective build to minimize the kernel size.
+
+A **[Custom operator](https://github.com/pytorch/executorch/tree/main/extension/llm/custom_ops)** is any operator that an ExecuTorch user defines outside of PyTorch's [`native_functions.yaml`](https://github.com/pytorch/pytorch/blob/main/aten/src/ATen/native/native_functions.yaml).
+
+## Operator & Kernel Contract
+
+All the kernels mentioned above, whether they are in-house or customized, should comply with the following requirements:
 
 * Match the calling convention derived from operator schema. The kernel registration API will generate headers for the custom kernels as references.
-* Satisfy the dtype constraints defined in edge dialect. For tensors with certain dtypes as arguments, the result of a custom kernel needs to match  the expected dtypes. The constraints are available in edge dialect ops.
-* Gives correct result. We will provide a testing framework to automatically test the custom kernels.
+* Satisfy the dtype constraints defined in edge dialect. For tensors with certain dtypes as arguments, the result of a custom kernel needs to match the expected dtypes. The constraints are available in edge dialect ops.
+* Give correct result. We will provide a testing framework to automatically test the custom kernels.
+
+
+## APIs
+
+These are the APIs available to register kernels/custom kernels/custom ops into ExecuTorch:
+
+* [YAML Entry API](#yaml-entry-api-high-level-architecture)
+  - [for core ATen op with custom kernels](#yaml-entry-api-for-core-aten-op-out-variant)
+  - [for custom ops](#yaml-entry-api-for-custom-ops)
+  - [CMake Macros](#cmake-macros)
+* C++ API
+  - [for custom ops](#c-api-for-custom-ops)
+  - [CMake Example](#compile-and-link-the-custom-kernel)
+
+If it's not clear which API to use, please see [Best Practices](#custom-ops-api-best-practices).
+
 
 
-## High Level Architecture
+### YAML Entry API High Level Architecture
 
 ![](./_static/img/kernel-library-custom-aten-kernel.png)
 
@@ -27,10 +53,10 @@ ExecuTorch users are asked to provide:
 
 1. the custom kernel library with C++ implementations
 
-2. a yaml file associated with the library that describes what operators are being implemented by this library. For partial kernels, the yaml file also contains information on the dtypes and dim orders supported by the  kernel. More details in the API section.
+2. a YAML file associated with the library that describes what operators are being implemented by this library. For partial kernels, the yaml file also contains information on the dtypes and dim orders supported by the  kernel. More details in the API section.
 
 
-### Workflow
+### YAML Entry API Workflow
 
 At build time, the yaml files associated with kernel libraries will be passed to the _kernel resolver_ along with the model op info (see selective build doc) and the outcome is a mapping between a combination of operator names and tensor metadata, to kernel symbols. Then codegen tools will use this mapping to generate C++ bindings that connect the kernels to ExecuTorch runtime. ExecuTorch users need to link this generated library into their application to use these kernels.
 
@@ -38,18 +64,10 @@ At static object initialization time, kernels will be registered into the ExecuT
 
 At runtime initialization stage, ExecuTorch will use the operator name and argument metadata as a key to lookup for the kernels. For example, with “aten::add.out” and inputs being float tensors with dim order (0, 1, 2, 3), ExecuTorch will go into the kernel registry and lookup for a kernel that matches the name and the input metadata.
 
-
-## APIs
-
-There are two sets of APIs: yaml files that describe kernel - operator mappings and codegen tools to consume these mappings.
-
-
-### Yaml Entry for Core ATen Op Out Variant
+### YAML Entry API for Core ATen Op Out Variant
 
 Top level attributes:
 
-
-
 * `op` (if the operator appears in `native_functions.yaml`) or `func` for custom operator. The value for this key needs to be the full operator name (including overload name) for `op` key, or a full operator schema (namespace, operator name, operator overload name and schema string), if we are describing a custom operator. For schema syntax please refer to this [instruction](https://github.com/pytorch/pytorch/blob/main/aten/src/ATen/native/README.md).
 * `kernels`: defines kernel information. It consists of `arg_meta` and `kernel_name`, which are bound together to describe "for input tensors with these metadata, use this kernel".
 * `type_alias`(optional): we are giving aliases to possible dtype options. `T0: [Double, Float]` means `T0` can be one of `Double` or `Float`.
@@ -86,86 +104,9 @@ ATen operator with a dtype/dim order specialized kernel (works for `Double` dtyp
       kernel_name: torch::executor::add_out
 
 ```
-### Custom Ops C++ API
-
-For a custom kernel that implements a custom operator, we provides 2 ways to register it into ExecuTorch runtime:
-1. Using `EXECUTORCH_LIBRARY` and `WRAP_TO_ATEN` C++ macros, covered by this section.
-2. Using `functions.yaml` and codegen'd C++ libraries, covered by [next section](#custom-ops-yaml-entry).
-
-Please refer to [Custom Ops Best Practices](#custom-ops-api-best-practices) on which API to use.
-
-The first option requires C++17 and doesn't have selective build support yet, but it's faster than the second option where we have to go through yaml authoring and build system tweaking.
-
-The first option is particularly suitable for fast prototyping but can also be used in production.
-
-Similar to `TORCH_LIBRARY`, `EXECUTORCH_LIBRARY` takes the operator name and the C++ function name and register them into ExecuTorch runtime.
-
-#### Prepare custom kernel implementation
-
-Define your custom operator schema for both functional variant (used in AOT compilation) and out variant (used in ExecuTorch runtime). The schema needs to follow PyTorch ATen convention (see native_functions.yaml). For example:
-
-```yaml
-custom_linear(Tensor weight, Tensor input, Tensor(?) bias) -> Tensor
-custom_linear.out(Tensor weight, Tensor input, Tensor(?) bias, *, Tensor(a!) out) -> Tensor(a!)
-```
-
-Then write your custom kernel according to the schema using ExecuTorch types, along with APIs to register to ExecuTorch runtime:
-
-
-```c++
-// custom_linear.h/custom_linear.cpp
-#include <executorch/runtime/kernel/kernel_includes.h>
-Tensor& custom_linear_out(const Tensor& weight, const Tensor& input, optional<Tensor> bias, Tensor& out) {
-   // calculation
-   return out;
-}
-```
-#### Use a C++ macro to register it into PyTorch & ExecuTorch
-
-Append the following line in the example above:
-```c++
-// custom_linear.h/custom_linear.cpp
-// opset namespace myop
-EXECUTORCH_LIBRARY(myop, "custom_linear.out", custom_linear_out);
-```
-
-Now we need to write some wrapper for this op to show up in PyTorch, but don’t worry we don’t need to rewrite the kernel. Create a separate .cpp for this purpose:
-
-```c++
-// custom_linear_pytorch.cpp
-#include "custom_linear.h"
-#include <torch/library.h>
-
-at::Tensor custom_linear(const at::Tensor& weight, const at::Tensor& input, std::optional<at::Tensor> bias) {
-    // initialize out
-    at::Tensor out = at::empty({weight.size(1), input.size(1)});
-    // wrap kernel in custom_linear.cpp into ATen kernel
-    WRAP_TO_ATEN(custom_linear_out, 3)(weight, input, bias, out);
-    return out;
-}
-// standard API to register ops into PyTorch
-TORCH_LIBRARY(myop, m) {
-    m.def("custom_linear(Tensor weight, Tensor input, Tensor(?) bias) -> Tensor", custom_linear);
-    m.def("custom_linear.out(Tensor weight, Tensor input, Tensor(?) bias, *, Tensor(a!) out) -> Tensor(a!)", WRAP_TO_ATEN(custom_linear_out, 3));
-}
-```
-
-#### Compile and link the custom kernel
-
-Link it into ExecuTorch runtime: In our `CMakeLists.txt`` that builds the binary/application, we just need to add custom_linear.h/cpp into the binary target. We can build a dynamically loaded library (.so or .dylib) and link it as well.
-
-Link it into PyTorch runtime: We need to package custom_linear.h, custom_linear.cpp and custom_linear_pytorch.cpp into a dynamically loaded library (.so or .dylib) and load it into our python environment. One way of doing this is:
-
-```python
-import torch
-torch.ops.load_library("libcustom_linear.so/dylib")
-
-# Now we have access to the custom op, backed by kernel implemented in custom_linear.cpp.
-op = torch.ops.myop.custom_linear.default
-```
 
 
-### Custom Ops Yaml Entry
+### YAML Entry API for Custom Ops
 
 As mentioned above, this option provides more support in terms of selective build and features such as merging operator libraries.
 
@@ -215,14 +156,11 @@ ExecuTorch does not support all of the argument types that core PyTorch supports
 * List<Optional<Type>>
 * Optional<List<Type>>
 
-
-### Build Tool Macros
+#### CMake Macros
 
 We provide build time macros to help users to build their kernel registration library. The macro takes the yaml file describing the kernel library as well as model operator metadata, and packages the generated C++ bindings into a C++ library. The macro is available on CMake.
 
 
-#### CMake
-
 `generate_bindings_for_kernels(FUNCTIONS_YAML functions_yaml CUSTOM_OPS_YAML custom_ops_yaml)` takes a yaml file for core ATen op out variants and also a yaml file for custom ops, generate C++ bindings for kernel registration. It also depends on the selective build artifact generated by `gen_selected_ops()`, see selective build doc for more information. Then `gen_operators_lib` will package those bindings to be a C++ library. As an example:
 ```cmake
 # SELECT_OPS_LIST: aten::add.out,aten::mm.out
@@ -263,6 +201,103 @@ And out fallback:
 
 The merged yaml will have the entry in functions.yaml.
 
+### C++ API for Custom Ops
+
+Unlike the YAML entry API, the C++ API only uses C++ macros `EXECUTORCH_LIBRARY` and `WRAP_TO_ATEN` for kernel registration, also without selective build support. It makes this API faster in terms of development speed, since users don't have to do YAML authoring and build system tweaking.
+
+Please refer to [Custom Ops Best Practices](#custom-ops-api-best-practices) on which API to use.
+
+Similar to [`TORCH_LIBRARY`](https://pytorch.org/cppdocs/library.html#library_8h_1a0bd5fb09d25dfb58e750d712fc5afb84) in PyTorch, `EXECUTORCH_LIBRARY` takes the operator name and the C++ function name and register them into ExecuTorch runtime.
+
+#### Prepare custom kernel implementation
+
+Define your custom operator schema for both functional variant (used in AOT compilation) and out variant (used in ExecuTorch runtime). The schema needs to follow PyTorch ATen convention (see `native_functions.yaml`). For example:
+
+```yaml
+custom_linear(Tensor weight, Tensor input, Tensor(?) bias) -> Tensor
+custom_linear.out(Tensor weight, Tensor input, Tensor(?) bias, *, Tensor(a!) out) -> Tensor(a!)
+```
+
+Then write your custom kernel according to the schema using ExecuTorch types, along with APIs to register to ExecuTorch runtime:
+
+
+```c++
+// custom_linear.h/custom_linear.cpp
+#include <executorch/runtime/kernel/kernel_includes.h>
+Tensor& custom_linear_out(const Tensor& weight, const Tensor& input, optional<Tensor> bias, Tensor& out) {
+   // calculation
+   return out;
+}
+```
+#### Use a C++ macro to register it into ExecuTorch
+
+Append the following line in the example above:
+```c++
+// custom_linear.h/custom_linear.cpp
+// opset namespace myop
+EXECUTORCH_LIBRARY(myop, "custom_linear.out", custom_linear_out);
+```
+
+Now we need to write some wrapper for this op to show up in PyTorch, but don’t worry we don’t need to rewrite the kernel. Create a separate .cpp for this purpose:
+
+```c++
+// custom_linear_pytorch.cpp
+#include "custom_linear.h"
+#include <torch/library.h>
+
+at::Tensor custom_linear(const at::Tensor& weight, const at::Tensor& input, std::optional<at::Tensor> bias) {
+    // initialize out
+    at::Tensor out = at::empty({weight.size(1), input.size(1)});
+    // wrap kernel in custom_linear.cpp into ATen kernel
+    WRAP_TO_ATEN(custom_linear_out, 3)(weight, input, bias, out);
+    return out;
+}
+// standard API to register ops into PyTorch
+TORCH_LIBRARY(myop, m) {
+    m.def("custom_linear(Tensor weight, Tensor input, Tensor(?) bias) -> Tensor", custom_linear);
+    m.def("custom_linear.out(Tensor weight, Tensor input, Tensor(?) bias, *, Tensor(a!) out) -> Tensor(a!)", WRAP_TO_ATEN(custom_linear_out, 3));
+}
+```
+
+#### Compile and link the custom kernel
+
+Link it into ExecuTorch runtime: In our `CMakeLists.txt` that builds the binary/application, we need to add custom_linear.h/cpp into the binary target. We can build a dynamically loaded library (.so or .dylib) and link it as well.
+
+Here's an example to do it:
+
+```cmake
+# For target_link_options_shared_lib
+include(${EXECUTORCH_ROOT}/build/Utils.cmake)
+
+# Add a custom op library
+add_library(custom_op_lib SHARED ${CMAKE_CURRENT_SOURCE_DIR}/custom_op.cpp)
+
+# Include the header
+target_include_directory(custom_op_lib PUBLIC ${CMAKE_CURRENT_SOURCE_DIR}/include)
+
+# Link ExecuTorch library
+target_link_libraries(custom_op_lib PUBLIC executorch)
+
+# Define a binary target
+add_executable(custom_op_runner PUBLIC main.cpp)
+
+# Link this library with --whole-archive !! IMPORTANT !! this is to avoid the operators being stripped by linker
+target_link_options_shared_lib(custom_op_lib)
+
+# Link custom op lib
+target_link_libraries(custom_op_runner PUBLIC custom_op_lib)
+
+```
+
+Link it into the PyTorch runtime: We need to package custom_linear.h, custom_linear.cpp and custom_linear_pytorch.cpp into a dynamically loaded library (.so or .dylib) and load it into our python environment. One way of doing this is:
+
+```python
+import torch
+torch.ops.load_library("libcustom_linear.so/dylib")
+
+# Now we have access to the custom op, backed by kernel implemented in custom_linear.cpp.
+op = torch.ops.myop.custom_linear.default
+```
 
 ### Custom Ops API Best Practices
 
diff --git a/docs/source/llm/build-run-llama3-qualcomm-ai-engine-direct-backend.md b/docs/source/llm/build-run-llama3-qualcomm-ai-engine-direct-backend.md
new file mode 100644
index 0000000000..ac95fb21bd
--- /dev/null
+++ b/docs/source/llm/build-run-llama3-qualcomm-ai-engine-direct-backend.md
@@ -0,0 +1,128 @@
+# Building and Running Llama 3 8B Instruct with Qualcomm AI Engine Direct Backend
+
+This tutorial demonstrates how to export Llama 3 8B Instruct for Qualcomm AI Engine Direct Backend and running the model on a Qualcomm device.
+
+## Prerequisites
+
+- Set up your ExecuTorch repo and environment if you haven’t done so by following [the Setting up ExecuTorch](../getting-started-setup.md) to set up the repo and dev environment.
+- Read [the Building and Running ExecuTorch with Qualcomm AI Engine Direct Backend page](../build-run-qualcomm-ai-engine-direct-backend.md) to understand how to export and run a model with Qualcomm AI Engine Direct Backend on Qualcomm device.
+- Follow [the README for executorch llama](https://github.com/pytorch/executorch/tree/main/examples/models/llama2) to know how to run a llama model on mobile via ExecuTorch.
+- A Qualcomm device with 16GB RAM
+  - We are continuing to optimize our memory usage to ensure compatibility with lower memory devices.
+- The version of [Qualcomm AI Engine Direct SDK](https://developer.qualcomm.com/software/qualcomm-ai-engine-direct-sdk) is 2.26.0 or above.
+
+## Instructions
+
+### Step1: Prepare the checkpoint of the model and optimized matrix from [Spin Quant](https://github.com/facebookresearch/SpinQuant)
+
+1. For Llama 3 tokenizer and checkpoint, please refer to https://github.com/meta-llama/llama-models/blob/main/README.md for further instructions on how to download `tokenizer.model`, `consolidated.00.pth` and `params.json`.
+2. To get the optimized matrix, please refer to [SpinQuant on GitHub](https://github.com/facebookresearch/SpinQuant). You can download the optimized rotation matrices in the Quantized Models section. Please choose **LLaMA-3-8B/8B_W4A16KV16_lr_1.5_seed_0**.
+
+### Step2: Export to ExecuTorch with Qualcomm AI Engine Direct Backend
+Deploying large language models like Llama 3 on-device presents the following challenges:
+
+1. The model size is too large to fit in device memory for inference.
+2. High model loading and inference time.
+3. Difficulty in quantization.
+
+To address these challenges, we have implemented the following solutions:
+1. Using `--pt2e_quantize qnn_16a4w` to quantize activations and weights, thereby reducing the on-disk model size and alleviating memory pressure during inference.
+2. Using `--num_sharding 8` to shard the model into sub-parts.
+3. Performing graph transformations to convert or decompose operations into more accelerator-friendly operations.
+4. Using `--optimized_rotation_path <path_to_optimized_matrix>` to apply R1 and R2 of [Spin Quant](https://github.com/facebookresearch/SpinQuant) to improve accuracy.
+5. Using `--calibration_data "<|start_header_id|>system<|end_header_id|..."` to ensure that during the quantization of Llama 3 8B instruct, the calibration includes special tokens in the prompt template. For more details on the prompt template, refer to [the model card of meta llama3 instruct](https://llama.meta.com/docs/model-cards-and-prompt-formats/meta-llama-3/).
+
+To export Llama 3 8B instruct with the Qualcomm AI Engine Direct Backend, ensure the following:
+
+1. The host machine has more than 100GB of memory (RAM + swap space).
+2. The entire process takes a few hours.
+
+```bash
+# Please note that calibration_data must include the prompt template for special tokens.
+python -m examples.models.llama2.export_llama  -t <path_to_tokenizer.model>
+llama3/Meta-Llama-3-8B-Instruct/tokenizer.model -p <path_to_params.json> -c <path_to_checkpoint_for_Meta-Llama-3-8B-Instruct>  --use_kv_cache  --qnn --pt2e_quantize qnn_16a4w --disable_dynamic_shape --num_sharding 8 --calibration_tasks wikitext --calibration_limit 1 --calibration_seq_length 128 --optimized_rotation_path <path_to_optimized_matrix> --calibration_data "<|start_header_id|>system<|end_header_id|>\n\nYou are a funny chatbot.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nCould you tell me about Facebook?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n"
+```
+
+### Step3: Invoke the Runtime on an Android smartphone with Qualcomm SoCs
+1. Build executorch with Qualcomm AI Engine Direct Backend for android
+    ```bash
+    cmake \
+        -DCMAKE_TOOLCHAIN_FILE="${ANDROID_NDK_ROOT}/build/cmake/android.toolchain.cmake" \
+        -DANDROID_ABI=arm64-v8a \
+        -DANDROID_PLATFORM=android-23 \
+        -DCMAKE_INSTALL_PREFIX=cmake-android-out \
+        -DCMAKE_BUILD_TYPE=Release \
+        -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
+        -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+        -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
+        -DEXECUTORCH_BUILD_QNN=ON \
+        -DQNN_SDK_ROOT=${QNN_SDK_ROOT} \
+        -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
+        -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
+        -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
+        -Bcmake-android-out .
+
+    cmake --build cmake-android-out -j16 --target install --config Release
+    ```
+2. Build llama runner for android
+```bash
+    cmake \
+        -DCMAKE_TOOLCHAIN_FILE="${ANDROID_NDK_ROOT}"/build/cmake/android.toolchain.cmake  \
+        -DANDROID_ABI=arm64-v8a \
+        -DANDROID_PLATFORM=android-23 \
+        -DCMAKE_INSTALL_PREFIX=cmake-android-out \
+        -DCMAKE_BUILD_TYPE=Release -DPYTHON_EXECUTABLE=python \
+        -DEXECUTORCH_BUILD_QNN=ON \
+        -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
+        -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
+        -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
+        -Bcmake-android-out/examples/models/llama2 examples/models/llama2
+
+    cmake --build cmake-android-out/examples/models/llama2 -j16 --config Release
+```
+3. Run on Android via adb shell
+*Pre-requisite*: Make sure you enable USB debugging via developer options on your phone
+
+**3.1 Connect your android phone**
+
+**3.2 We need to push required QNN libraries to the device.**
+```bash
+# make sure you have write-permission on below path.
+DEVICE_DIR=/data/local/tmp/llama
+adb shell mkdir -p ${DEVICE_DIR}
+adb push ${QNN_SDK_ROOT}/lib/aarch64-android/libQnnHtp.so ${DEVICE_DIR}
+adb push ${QNN_SDK_ROOT}/lib/aarch64-android/libQnnSystem.so ${DEVICE_DIR}
+adb push ${QNN_SDK_ROOT}/lib/aarch64-android/libQnnHtpV69Stub.so ${DEVICE_DIR}
+adb push ${QNN_SDK_ROOT}/lib/aarch64-android/libQnnHtpV73Stub.so ${DEVICE_DIR}
+adb push ${QNN_SDK_ROOT}/lib/aarch64-android/libQnnHtpV75Stub.so ${DEVICE_DIR}
+adb push ${QNN_SDK_ROOT}/lib/hexagon-v69/unsigned/libQnnHtpV69Skel.so ${DEVICE_DIR}
+adb push ${QNN_SDK_ROOT}/lib/hexagon-v73/unsigned/libQnnHtpV73Skel.so ${DEVICE_DIR}
+adb push ${QNN_SDK_ROOT}/lib/hexagon-v75/unsigned/libQnnHtpV75Skel.so ${DEVICE_DIR}
+```
+
+**3.3 Upload model, tokenizer and llama runner binary to phone**
+```bash
+adb push <model.pte> ${DEVICE_DIR}
+adb push <tokenizer.model> ${DEVICE_DIR}
+adb push cmake-android-out/lib/libqnn_executorch_backend.so ${DEVICE_DIR}
+adb push cmake-out-android/examples/models/llama2/llama_main ${DEVICE_DIR}
+```
+
+**3.4 Run model**
+```bash
+adb shell "cd ${DEVICE_DIR} && ./llama_main --model_path <model.pte> --tokenizer_path <tokenizer.model> --prompt \"<|start_header_id|>system<|end_header_id|>\n\nYou are a funny chatbot.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nCould you tell me about Facebook?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n\" --seq_len 128"
+```
+You should see the message:
+```
+<|start_header_id|>system<|end_header_id|>\n\nYou are a funny chatbot.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nCould you tell me about Facebook?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\nHello! I'd be delighted to chat with you about Facebook. Facebook is a social media platform that was created in 2004 by Mark Zuckerberg and his colleagues while he was a student at Harvard University. It was initially called "Facemaker" but later changed to Facebook, which is a combination of the words "face" and "book". The platform was initially intended for people to share their thoughts and share information with their friends, but it quickly grew to become one of the
+```
+
+## What is coming?
+- Improve the performance for Llama 3 Instruct
+- Reduce the memory pressure during inference to support 12GB Qualcomm devices
+- Support more LLMs
+
+## FAQ
+
+If you encounter any issues while reproducing the tutorial, please file a github
+issue on ExecuTorch repo and tag use `#qcom_aisw` tag
diff --git a/docs/source/llm/getting-started.md b/docs/source/llm/getting-started.md
index 5fffb7e8ca..771bf489a9 100644
--- a/docs/source/llm/getting-started.md
+++ b/docs/source/llm/getting-started.md
@@ -198,25 +198,21 @@ Create a file called main.cpp with the following contents:
 // main.cpp
 
 #include <cstdint>
-#include <functional>
-#include <memory>
-#include <unordered_map>
 
-#include "basic_tokenizer.h"
 #include "basic_sampler.h"
-#include "managed_tensor.h"
+#include "basic_tokenizer.h"
 
 #include <executorch/extension/module/module.h>
-#include <executorch/extension/evalue_util/print_evalue.h>
+#include <executorch/extension/tensor/tensor.h>
+#include <executorch/runtime/core/evalue.h>
 #include <executorch/runtime/core/exec_aten/exec_aten.h>
-#include <executorch/runtime/core/exec_aten/util/dim_order_util.h>
-#include <executorch/runtime/core/exec_aten/util/tensor_util.h>
-
-using namespace torch::executor;
+#include <executorch/runtime/core/result.h>
 
-using SizesType = exec_aten::SizesType;
-using DimOrderType = exec_aten::DimOrderType;
-using StridesType = exec_aten::StridesType;
+using exec_aten::ScalarType;
+using exec_aten::Tensor;
+using executorch::extension::Module;
+using executorch::runtime::EValue;
+using executorch::runtime::Result;
 ```
 
 The model inputs and outputs take the form of tensors. A tensor can be thought of as an multi-dimensional array.
@@ -248,14 +244,13 @@ std::string generate(
     for (auto i = 0u; i < max_output_length; i++) {
         // Convert the input_tokens from a vector of int64_t to EValue.
         // EValue is a unified data type in the ExecuTorch runtime.
-        ManagedTensor tensor_tokens(
+        auto inputs = from_blob(
             input_tokens.data(),
             {1, static_cast<int>(input_tokens.size())},
             ScalarType::Long);
-        std::vector<EValue> inputs = {tensor_tokens.get_tensor()};
 
         // Run the model. It will return a tensor of logits (log-probabilities).
-        Result<std::vector<EValue>> logits_evalue = llm_model.forward(inputs);
+        auto logits_evalue = llm_model.forward(inputs);
 
         // Convert the output logits from EValue to std::vector, which is what
         // the sampler expects.
@@ -343,7 +338,6 @@ Finally, download the following files into the same directory as main.h:
 ```
 curl -O https://raw.githubusercontent.com/pytorch/executorch/main/examples/llm_manual/basic_sampler.h
 curl -O https://raw.githubusercontent.com/pytorch/executorch/main/examples/llm_manual/basic_tokenizer.h
-curl -O https://raw.githubusercontent.com/pytorch/executorch/main/examples/llm_manual/managed_tensor.h
 ```
 
 To learn more, see the [Runtime APIs Tutorial](../extension-module.md).
@@ -368,6 +362,7 @@ set(CMAKE_CXX_STANDARD_REQUIRED True)
 # Set options for executorch build.
 option(EXECUTORCH_BUILD_EXTENSION_DATA_LOADER "" ON)
 option(EXECUTORCH_BUILD_EXTENSION_MODULE "" ON)
+option(EXECUTORCH_BUILD_EXTENSION_TENSOR "" ON)
 option(EXECUTORCH_BUILD_KERNELS_OPTIMIZED "" ON)
 
 # Include the executorch subdirectory.
@@ -381,6 +376,7 @@ target_link_libraries(
     PRIVATE
     executorch
     extension_module_static # Provides the Module class
+    extension_tensor # Provides the TensorPtr class
     optimized_native_cpu_ops_lib) # Provides baseline cross-platform kernels
 ```
 
@@ -390,7 +386,6 @@ At this point, the working directory should contain the following files:
 - main.cpp
 - basic_tokenizer.h
 - basic_sampler.h
-- managed_tensor.h
 - export_nanogpt.py
 - model.py
 - vocab.json
@@ -522,6 +517,7 @@ set(CMAKE_CXX_STANDARD_REQUIRED True)
 # Set options for executorch build.
 option(EXECUTORCH_BUILD_EXTENSION_DATA_LOADER "" ON)
 option(EXECUTORCH_BUILD_EXTENSION_MODULE "" ON)
+option(EXECUTORCH_BUILD_EXTENSION_TENSOR "" ON)
 option(EXECUTORCH_BUILD_KERNELS_OPTIMIZED "" ON)
 option(EXECUTORCH_BUILD_XNNPACK "" ON) # Build with Xnnpack backend
 
@@ -538,6 +534,7 @@ target_link_libraries(
     PRIVATE
     executorch
     extension_module_static # Provides the Module class
+    extension_tensor # Provides the TensorPtr class
     optimized_native_cpu_ops_lib # Provides baseline cross-platform kernels
     xnnpack_backend) # Provides the XNNPACK CPU acceleration backend
 ```
@@ -552,7 +549,6 @@ At this point, the working directory should contain the following files:
 - main.cpp
 - basic_tokenizer.h
 - basic_sampler.h
-- managed_tensor.h
 - export_nanogpt.py
 - model.py
 - vocab.json
@@ -591,8 +587,8 @@ I'm not sure if you've heard of the "Curse of the Dragon" or not, but it's a ver
 The delegated model should be noticeably faster compared to the non-delegated model.
 
 For more information regarding backend delegateion, see the ExecuTorch guides
-for the [XNNPACK Backend](../tutorial-xnnpack-delegate-lowering.md) and [Core ML
-Backend](../build-run-coreml.md).
+for the [XNNPACK Backend](../tutorial-xnnpack-delegate-lowering.md),  [Core ML
+Backend](../build-run-coreml.md) and [Qualcomm AI Engine Direct Backend](build-run-llama3-qualcomm-ai-engine-direct-backend.md).
 
 ## Quantization
 
@@ -750,7 +746,7 @@ In the fragment of the output for nanoGPT below, observe that embedding and add
 
 ### Performance Analysis
 
-Through the ExecuTorch SDK, users are able to profile model execution, giving timing information for each operator in the model.
+Through the ExecuTorch Developer Tools, users are able to profile model execution, giving timing information for each operator in the model.
 
 #### Prerequisites
 
@@ -763,7 +759,7 @@ In your export script, after calling `to_edge()` and `to_executorch()`, call `ge
 
 ```
 import copy
-from executorch.sdk import generate_etrecord
+from executorch.devtools import generate_etrecord
 
 # Make the deep copy immediately after to to_edge()
 edge_manager_copy = copy.deepcopy(edge_manager)
@@ -784,7 +780,7 @@ Include the ETDump header in your code.
 ```cpp
 // main.cpp
 
-#include <executorch/sdk/etdump/etdump_flatcc.h>
+#include <executorch/devtools/etdump/etdump_flatcc.h>
 ```
 
 Create an Instance of the ETDumpGen class and pass it to the Module constructor.
@@ -809,10 +805,10 @@ if (result.buf != nullptr && result.size > 0) {
 }
 ```
 
-Additionally, update CMakeLists.txt to build with SDK and enable events to be traced and logged into ETDump:
+Additionally, update CMakeLists.txt to build with Developer Tools and enable events to be traced and logged into ETDump:
 
 ```
-option(EXECUTORCH_BUILD_SDK "" ON)
+option(EXECUTORCH_BUILD_DEVTOOLS "" ON)
 
 # ...
 
@@ -835,7 +831,7 @@ Run the runner, you will see “etdump.etdp” generated.
 Once you’ve collected debug artifacts ETDump (and optionally an ETRecord), you can use the Inspector API to view performance information.
 
 ```python
-from executorch.sdk import Inspector
+from executorch.devtools import Inspector
 
 inspector = Inspector(etdump_path="etdump.etdp")
 # If you also generated an ETRecord, then pass that in as well: `inspector = Inspector(etdump_path="etdump.etdp", etrecord="etrecord.bin")`
diff --git a/docs/source/llm/llama-demo-android.md b/docs/source/llm/llama-demo-android.md
index 023f82baf3..ce2d25a4a8 100644
--- a/docs/source/llm/llama-demo-android.md
+++ b/docs/source/llm/llama-demo-android.md
@@ -1,2 +1,141 @@
-```{include} ../../../examples/demo-apps/android/LlamaDemo/README.md
+# ExecuTorch Llama Android Demo App
+
+We’re excited to share that the newly revamped Android demo app is live and includes many new updates to provide a more intuitive and smoother user experience with a chat use case! The primary goal of this app is to showcase how easily ExecuTorch can be integrated into an Android demo app and how to exercise the many features ExecuTorch and Llama models have to offer.
+
+This app serves as a valuable resource to inspire your creativity and provide foundational code that you can customize and adapt for your particular use case.
+
+Please dive in and start exploring our demo app today! We look forward to any feedback and are excited to see your innovative ideas.
+
+
+## Key Concepts
+From this demo app, you will learn many key concepts such as:
+* How to prepare Llama models, build the ExecuTorch library, and model inferencing across delegates
+* Expose the ExecuTorch library via JNI layer
+* Familiarity with current ExecuTorch app-facing capabilities
+
+The goal is for you to see the type of support ExecuTorch provides and feel comfortable with leveraging it for your use cases.
+
+## Supporting Models
+As a whole, the models that this app supports are (varies by delegate):
+* Llama 3.1 8B
+* Llama 3 8B
+* Llama 2 7B
+* LLaVA-1.5 vision model (only XNNPACK)
+
+
+## Building the APK
+First it’s important to note that currently ExecuTorch provides support across 3 delegates. Once you identify the delegate of your choice, select the README link to get a complete end-to-end instructions for environment set-up to exporting the models to build ExecuTorch libraries and apps to run on device:
+
+| Delegate      | Resource |
+| ------------- | ------------- |
+| XNNPACK (CPU-based library)  | [link](docs/delegates/xnnpack_README.md) |
+| QNN (Qualcomm AI Accelerators)  | [link](docs/delegates/qualcomm_README.md) |
+| MediaTek (MediaTek AI Accelerators)  | [link](docs/delegates/mediatek_README.md)  |
+
+## How to Use the App
+
+This section will provide the main steps to use the app, along with a code snippet of the ExecuTorch API.
+
+For loading the app, development, and running on device we recommend Android Studio:
+1. Open Android Studio and select "Open an existing Android Studio project" to open examples/demo-apps/android/LlamaDemo.
+2. Run the app (^R). This builds and launches the app on the phone.
+
+### Opening the App
+
+Below are the UI features for the app.
+
+Select the settings widget to get started with picking a model, its parameters and any prompts.
+<p align="center">
+<img src="../_static/img/opening_the_app_details.png" width=800>
+</p>
+
+
+
+### Select Models and Parameters
+
+Once you've selected the model, tokenizer, and model type you are ready to click on "Load Model" to have the app load the model and go back to the main Chat activity.
+<p align="center">
+      <img src="../_static/img/settings_menu.png" width=300>
+</p>
+
+
+
+Optional Parameters:
+* Temperature: Defaulted to 0, you can adjust the temperature for the model as well. The model will reload upon any adjustments.
+* System Prompt: Without any formatting, you can enter in a system prompt. For example, "you are a travel assistant" or "give me a response in a few sentences".
+* User Prompt: More for the advanced user, if you would like to manually input a prompt then you can do so by modifying the `{{user prompt}}`. You can also modify the special tokens as well. Once changed then go back to the main Chat activity to send.
+
+> [!TIP]
+> Helpful ExecuTorch API in app
+
+```java
+// Upon returning to the Main Chat Activity
+mModule = new LlamaModule(
+            ModelUtils.getModelCategory(mCurrentSettingsFields.getModelType()),
+            modelPath,
+            tokenizerPath,
+            temperature);
+int loadResult = mModule.load();
 ```
+
+* `modelCategory`: Indicate whether it’s a text-only or vision model
+* `modePath`: path to the .pte file
+* `tokenizerPath`: path to the tokenizer .bin file
+* `temperature`: model parameter to adjust the randomness of the model’s output
+
+
+### User Prompt
+Once model is successfully loaded then enter any prompt and click the send (i.e. generate) button to send it to the model.
+<p align="center">
+<img src="../_static/img/load_complete_and_start_prompt.png" width=300>
+</p>
+
+You can provide it more follow-up questions as well.
+<p align="center">
+<img src="../_static/img/chat.png" width=300>
+</p>
+
+> [!TIP]
+> Helpful ExecuTorch API in app
+```java
+mModule.generate(prompt,sequence_length, MainActivity.this);
+```
+* `prompt`: User formatted prompt
+* `sequence_length`: Number of tokens to generate in response to a prompt
+* `MainActivity.this`: Indicate that the callback functions (OnResult(), OnStats()) are present in this class.
+
+[*LLaVA-1.5: Only for XNNPACK delegate*]
+
+For LLaVA-1.5 implementation, select the exported LLaVA .pte and tokenizer file in the Settings menu and load the model. After this you can send an image from your gallery or take a live picture along with a text prompt to the model.
+
+<p align="center">
+<img src="../_static/img/llava_example.png" width=300>
+</p>
+
+
+### Output Generated
+To show completion of the follow-up question, here is the complete detailed response from the model.
+<p align="center">
+<img src="../_static/img/chat_response.png" width=300>
+</p>
+
+> [!TIP]
+> Helpful ExecuTorch API in app
+
+Ensure you have the following functions in your callback class that you provided in the `mModule.generate()`. For this example, it is `MainActivity.this`.
+```java
+  @Override
+  public void onResult(String result) {
+    //...result contains token from response
+    //.. onResult will continue to be invoked until response is complete
+  }
+
+  @Override
+  public void onStats(float tps) {
+    //...tps (tokens per second) stats is provided by framework
+  }
+
+```
+
+## Reporting Issues
+If you encountered any bugs or issues following this tutorial please file a bug/issue here on [Github](https://github.com/pytorch/executorch/issues/new).
diff --git a/docs/source/native-delegates-executorch-xnnpack-delegate.md b/docs/source/native-delegates-executorch-xnnpack-delegate.md
index 1d12daef9d..41de29687e 100644
--- a/docs/source/native-delegates-executorch-xnnpack-delegate.md
+++ b/docs/source/native-delegates-executorch-xnnpack-delegate.md
@@ -74,7 +74,7 @@ Since weight packing creates an extra copy of the weights inside XNNPACK, We fre
 When executing the XNNPACK subgraphs, we prepare the tensor inputs and outputs and feed them to the XNNPACK runtime graph. After executing the runtime graph, the output pointers are filled with the computed tensors.
 
 #### **Profiling**
-We have enabled basic profiling for XNNPACK delegate that can be enabled with the following compiler flag `-DENABLE_XNNPACK_PROFILING`. With ExecuTorch's SDK integration, you can also now use the SDK tools to profile the model. You can follow the steps in [Using the ExecuTorch SDK to Profile a Model](./tutorials/sdk-integration-tutorial) on how to profile ExecuTorch models and use SDK's Inspector API to view XNNPACK's internal profiling information.
+We have enabled basic profiling for XNNPACK delegate that can be enabled with the following compiler flag `-DENABLE_XNNPACK_PROFILING`. With ExecuTorch's Developer Tools integration, you can also now use the Developer Tools to profile the model. You can follow the steps in [Using the ExecuTorch Developer Tools to Profile a Model](./tutorials/devtools-integration-tutorial) on how to profile ExecuTorch models and use Developer Tools' Inspector API to view XNNPACK's internal profiling information.
 
 
 [comment]: <> (TODO: Refactor quantizer to a more official quantization doc)
@@ -110,9 +110,9 @@ quantizer.set_global(quantization_config)
 ### Quantizing your model with the XNNPACKQuantizer
 After configuring our quantizer, we are now ready to quantize our model
 ```python
-from torch._export import capture_pre_autograd_graph
+from torch.export import export_for_training
 
-exported_model = capture_pre_autograd_graph(model_to_quantize, example_inputs)
+exported_model = export_for_training(model_to_quantize, example_inputs).module()
 prepared_model = prepare_pt2e(exported_model, quantizer)
 print(prepared_model.graph)
 ```
diff --git a/docs/source/runtime-overview.md b/docs/source/runtime-overview.md
index 7bc8b4dd8b..6766e678e0 100644
--- a/docs/source/runtime-overview.md
+++ b/docs/source/runtime-overview.md
@@ -96,7 +96,7 @@ can build it for a wide variety of target systems.
 
 #### C++ Language Considerations
 
-* The code is C++11-compatible to work with older toolchains.
+* The code is C++17-compatible to work with older toolchains.
 * The runtime does not use exceptions or RTTI, although it is not antagonistic
   to them.
 * The code is compatible with GCC and Clang, and has also been built with
diff --git a/docs/source/sdk-bundled-io.md b/docs/source/sdk-bundled-io.md
index 33deae3904..776c37a5da 100644
--- a/docs/source/sdk-bundled-io.md
+++ b/docs/source/sdk-bundled-io.md
@@ -28,7 +28,7 @@ In `BundledProgram`, we create two new classes, `MethodTestCase` and `MethodTest
 :::{dropdown} `MethodTestCase`
 
 ```{eval-rst}
-.. autofunction:: executorch.sdk.bundled_program.config.MethodTestCase.__init__
+.. autofunction:: executorch.devtools.bundled_program.config.MethodTestCase.__init__
     :noindex:
 ```
 :::
@@ -38,7 +38,7 @@ In `BundledProgram`, we create two new classes, `MethodTestCase` and `MethodTest
 :::{dropdown} `MethodTestSuite`
 
 ```{eval-rst}
-.. autofunction:: executorch.sdk.bundled_program.config.MethodTestSuite
+.. autofunction:: executorch.devtools.bundled_program.config.MethodTestSuite
     :noindex:
 ```
 :::
@@ -48,13 +48,13 @@ Since each model may have multiple inference methods, we need to generate `List[
 
 ### Step 3: Generate `BundledProgram`
 
-We provide `BundledProgram` class under `executorch/sdk/bundled_program/core.py` to bundled the `ExecutorchProgram`-like variable, including
+We provide `BundledProgram` class under `executorch/devtools/bundled_program/core.py` to bundled the `ExecutorchProgram`-like variable, including
                             `ExecutorchProgram`, `MultiMethodExecutorchProgram` or `ExecutorchProgramManager`, with the `List[MethodTestSuite]`:
 
 :::{dropdown} `BundledProgram`
 
 ```{eval-rst}
-.. autofunction:: executorch.sdk.bundled_program.core.BundledProgram.__init__
+.. autofunction:: executorch.devtools.bundled_program.core.BundledProgram.__init__
     :noindex:
 ```
 :::
@@ -65,18 +65,18 @@ Construtor of `BundledProgram `will do sannity check internally to see if the gi
 
 ### Step 4: Serialize `BundledProgram` to Flatbuffer.
 
-To serialize `BundledProgram` to make runtime APIs use it, we provide two APIs, both under `executorch/sdk/bundled_program/serialize/__init__.py`.
+To serialize `BundledProgram` to make runtime APIs use it, we provide two APIs, both under `executorch/devtools/bundled_program/serialize/__init__.py`.
 
 :::{dropdown} Serialize and Deserialize
 
 ```{eval-rst}
-.. currentmodule:: executorch.sdk.bundled_program.serialize
+.. currentmodule:: executorch.devtools.bundled_program.serialize
 .. autofunction:: serialize_from_bundled_program_to_flatbuffer
     :noindex:
 ```
 
 ```{eval-rst}
-.. currentmodule:: executorch.sdk.bundled_program.serialize
+.. currentmodule:: executorch.devtools.bundled_program.serialize
 .. autofunction:: deserialize_from_flatbuffer_to_bundled_program
     :noindex:
 ```
@@ -90,14 +90,13 @@ Here is a flow highlighting how to generate a `BundledProgram` given a PyTorch m
 import torch
 
 from executorch.exir import to_edge
-from executorch.sdk import BundledProgram
+from executorch.devtools import BundledProgram
 
-from executorch.sdk.bundled_program.config import MethodTestCase, MethodTestSuite
-from executorch.sdk.bundled_program.serialize import (
+from executorch.devtools.bundled_program.config import MethodTestCase, MethodTestSuite
+from executorch.devtools.bundled_program.serialize import (
     serialize_from_bundled_program_to_flatbuffer,
 )
-from torch._export import capture_pre_autograd_graph
-from torch.export import export
+from torch.export import export, export_for_training
 
 
 # Step 1: ExecuTorch Program Export
@@ -131,7 +130,7 @@ capture_input = (
 
 # Export method's FX Graph.
 method_graph = export(
-    capture_pre_autograd_graph(model, capture_input),
+    export_for_training(model, capture_input).module(),
     capture_input,
 )
 
@@ -187,7 +186,7 @@ with open(save_path, "wb") as f:
 We can also regenerate `BundledProgram` from flatbuffer file if needed:
 
 ```python
-from executorch.sdk.bundled_program.serialize import deserialize_from_flatbuffer_to_bundled_program
+from executorch.devtools.bundled_program.serialize import deserialize_from_flatbuffer_to_bundled_program
 save_path = "bundled_program.bpte"
 with open(save_path, "rb") as f:
     serialized_bundled_program = f.read()
@@ -211,21 +210,19 @@ We need the pointer to ExecuTorch program to do the execution. To unify the proc
 
 Here's an example of how to use the `GetProgramData` API:
 ```c++
-std::shared_ptr<char> buff_ptr;
-size_t buff_len;
-
-// FILE_PATH here can be either BundledProgram or Program flatbuffer file.
-Error status = torch::executor::util::read_file_content(
-    FILE_PATH, &buff_ptr, &buff_len);
-ET_CHECK_MSG(
-    status == Error::Ok,
-    "read_file_content() failed with status 0x%" PRIx32,
-    status);
-
+// Assume that the user has read the contents of the file into file_data using
+// whatever method works best for their application. The file could contain
+// either BundledProgram data or Program data.
+void* file_data = ...;
+size_t file_data_len = ...;
+
+// If file_data contains a BundledProgram, GetProgramData() will return a
+// pointer to the Program data embedded inside it. Otherwise it will return
+// file_data, which already pointed to Program data.
 const void* program_ptr;
 size_t program_len;
 status = torch::executor::bundled_program::GetProgramData(
-    buff_ptr.get(), buff_len, &program_ptr, &program_len);
+    file_data, file_data_len, &program_ptr, &program_len);
 ET_CHECK_MSG(
     status == Error::Ok,
     "GetProgramData() failed with status 0x%" PRIx32,
@@ -255,7 +252,7 @@ We call `torch::executor::bundled_program::VerifyResultWithBundledExpectedOutput
 
 ### Runtime Example
 
-Here we provide an example about how to run the bundled program step by step. Most of the code is borrowed from [executor_runner](https://github.com/pytorch/executorch/blob/main/examples/sdk/sdk_example_runner/sdk_example_runner.cpp), and please review that file if you need more info and context:
+Here we provide an example about how to run the bundled program step by step. Most of the code is borrowed from [executor_runner](https://github.com/pytorch/executorch/blob/main/examples/devtools/example_runner/example_runner.cpp), and please review that file if you need more info and context:
 
 ```c++
 // method_name is the name for the method we want to test
@@ -313,9 +310,9 @@ Here's the example of the dtype of test input not meet model's requirement:
 import torch
 
 from executorch.exir import to_edge
-from executorch.sdk import BundledProgram
+from executorch.devtools import BundledProgram
 
-from executorch.sdk.bundled_program.config import MethodTestCase, MethodTestSuite
+from executorch.devtools.bundled_program.config import MethodTestCase, MethodTestSuite
 from torch.export import export
 
 
@@ -340,7 +337,7 @@ inputs = (torch.ones(2, 2, dtype=torch.float), )
 
 # Find each method of model needs to be traced my its name, export its FX Graph.
 method_graph = export(
-    capture_pre_autograd_graph(model, inputs),
+    export_for_training(model, inputs).module(),
     inputs,
 )
 
@@ -400,7 +397,7 @@ Cell In[1], line 72
      68 ]
      70 # Step 3: Generate BundledProgram
 ---> 72 bundled_program = create_bundled_program(program, method_test_suites)
-File /executorch/sdk/bundled_program/core.py:276, in create_bundled_program(program, method_test_suites)
+File /executorch/devtools/bundled_program/core.py:276, in create_bundled_program(program, method_test_suites)
     264 """Create bp_schema.BundledProgram by bundling the given program and method_test_suites together.
     265
     266 Args:
@@ -411,7 +408,7 @@ File /executorch/sdk/bundled_program/core.py:276, in create_bundled_program(prog
 --> 276 assert_valid_bundle(program, method_test_suites)
     278 bundled_method_test_suites: List[bp_schema.BundledMethodTestSuite] = []
     280 # Emit data and metadata of bundled tensor
-File /executorch/sdk/bundled_program/core.py:219, in assert_valid_bundle(program, method_test_suites)
+File /executorch/devtools/bundled_program/core.py:219, in assert_valid_bundle(program, method_test_suites)
     215 # type of tensor input should match execution plan
     216 if type(cur_plan_test_inputs[j]) == torch.Tensor:
     217     # pyre-fixme[16]: Undefined attribute [16]: Item `bool` of `typing.Union[bool, float, int, torch._tensor.Tensor]`
@@ -449,9 +446,9 @@ Another common error would be the method name in any `MethodTestSuite` does not
 import torch
 
 from executorch.exir import to_edge
-from executorch.sdk import BundledProgram
+from executorch.devtools import BundledProgram
 
-from executorch.sdk.bundled_program.config import MethodTestCase, MethodTestSuite
+from executorch.devtools.bundled_program.config import MethodTestCase, MethodTestSuite
 from torch.export import export
 
 
@@ -476,7 +473,7 @@ inputs = (torch.ones(2, 2, dtype=torch.float),)
 
 # Find each method of model needs to be traced my its name, export its FX Graph.
 method_graph = export(
-    capture_pre_autograd_graph(model, inputs),
+    export_for_training(model, inputs).module(),
     inputs,
 )
 
@@ -532,7 +529,7 @@ Cell In[3], line 73
      70 method_test_suites[0].method_name = "MISSING_METHOD_NAME"
      72 # Generate BundledProgram
 ---> 73 bundled_program = create_bundled_program(program, method_test_suites)
-File /executorch/sdk/bundled_program/core.py:276, in create_bundled_program(program, method_test_suites)
+File /executorch/devtools/bundled_program/core.py:276, in create_bundled_program(program, method_test_suites)
     264 """Create bp_schema.BundledProgram by bundling the given program and method_test_suites together.
     265
     266 Args:
@@ -543,7 +540,7 @@ File /executorch/sdk/bundled_program/core.py:276, in create_bundled_program(prog
 --> 276 assert_valid_bundle(program, method_test_suites)
     278 bundled_method_test_suites: List[bp_schema.BundledMethodTestSuite] = []
     280 # Emit data and metadata of bundled tensor
-File /executorch/sdk/bundled_program/core.py:141, in assert_valid_bundle(program, method_test_suites)
+File /executorch/devtools/bundled_program/core.py:141, in assert_valid_bundle(program, method_test_suites)
     138 method_name_of_program = {e.name for e in program.execution_plan}
     139 method_name_of_test_suites = {t.method_name for t in method_test_suites}
 --> 141 assert method_name_of_test_suites.issubset(
diff --git a/docs/source/sdk-debugging.md b/docs/source/sdk-debugging.md
index 45e50b44e8..4707b4a2f9 100644
--- a/docs/source/sdk-debugging.md
+++ b/docs/source/sdk-debugging.md
@@ -1,6 +1,6 @@
 # Debugging Models in ExecuTorch
 
-With the ExecuTorch SDK, users can debug their models for numerical inaccurcies and extract model outputs from their device to do quality analysis (such as Signal-to-Noise, Mean square error etc.).
+With the ExecuTorch Developer Tools, users can debug their models for numerical inaccurcies and extract model outputs from their device to do quality analysis (such as Signal-to-Noise, Mean square error etc.).
 
 Currently, ExecuTorch supports the following debugging flows:
 - Extraction of model level outputs via ETDump.
@@ -11,7 +11,7 @@ Currently, ExecuTorch supports the following debugging flows:
 ## Steps to debug a model in ExecuTorch
 
 ### Runtime
-For a real example reflecting the steps below, please refer to [sdk_example_runner.cpp](https://github.com/pytorch/executorch/blob/main/examples/sdk/sdk_example_runner/sdk_example_runner.cpp).
+For a real example reflecting the steps below, please refer to [example_runner.cpp](https://github.com/pytorch/executorch/blob/main/examples/devtools/example_runner/example_runner.cpp).
 
 1. [Optional] Generate an [ETRecord](./sdk-etrecord.rst) while exporting your model. When provided, this enables users to link profiling information back to the eager model source code (with stack traces and module hierarchy).
 2. Integrate [ETDump generation](./sdk-etdump.md) into the runtime and set the debugging level by configuring the `ETDumpGen` object. Then, provide an additional buffer to which intermediate outputs and program outputs will be written. Currently we support two levels of debugging:
@@ -38,7 +38,7 @@ For a real example reflecting the steps below, please refer to [sdk_example_runn
 Once a model has been run, using the generated ETDump and debug buffers, users can leverage the [Inspector API's](./sdk-inspector.rst) to inspect these debug outputs.
 
 ```python
-from executorch.sdk import Inspector
+from executorch.devtools import Inspector
 
 # Create an Inspector instance with etdump and the debug buffer.
 inspector = Inspector(etdump_path=etdump_path,
@@ -67,7 +67,7 @@ We've also provided a simple set of utilities that let users perform quality ana
 
 
 ```python
-from executorch.sdk.inspector._inspector_utils import compare_results
+from executorch.devtools.inspector import compare_results
 
 # Run a simple quality analysis between the model outputs sourced from the
 # runtime and a set of reference outputs.
diff --git a/docs/source/sdk-delegate-integration.md b/docs/source/sdk-delegate-integration.md
index 8003371155..a2f67157c8 100644
--- a/docs/source/sdk-delegate-integration.md
+++ b/docs/source/sdk-delegate-integration.md
@@ -1,4 +1,4 @@
-# SDK Delegate Integration
+# Developer Tools Delegate Integration
 
 [Delegate backends](compiler-delegate-and-partitioner.md) are a prominent component of on-device models due to their flexibility in defining behavior. A side effect of this flexibility is that it operates as an opaque transformation. This obfuscates rich associations and mutations that are valuable in post-processing.
 - For example, if two different operator fusions were to occur within a delegate, post processing wouldn’t be able to separate the two transformations.
diff --git a/docs/source/sdk-etdump.md b/docs/source/sdk-etdump.md
index 4eacb18b14..c58efb40de 100644
--- a/docs/source/sdk-etdump.md
+++ b/docs/source/sdk-etdump.md
@@ -1,6 +1,6 @@
 # Prerequisite | ETDump - ExecuTorch Dump
 
-ETDump (ExecuTorch Dump) is one of the core components of the ExecuTorch SDK experience. It is the mechanism through which all forms of profiling and debugging data is extracted from the runtime. Users can't parse ETDump directly; instead, they should pass it into the Inspector API, which deserializes the data, offering interfaces for flexible analysis and debugging.
+ETDump (ExecuTorch Dump) is one of the core components of the ExecuTorch Developer Tools. It is the mechanism through which all forms of profiling and debugging data is extracted from the runtime. Users can't parse ETDump directly; instead, they should pass it into the Inspector API, which deserializes the data, offering interfaces for flexible analysis and debugging.
 
 
 ## Generating an ETDump
@@ -9,7 +9,7 @@ Generating an ETDump is a relatively straightforward process. Users can follow t
 
 1. ***Include*** the ETDump header in your code.
 ```C++
-#include <executorch/sdk/etdump/etdump_flatcc.h>
+#include <executorch/devtools/etdump/etdump_flatcc.h>
 ```
 
 2. ***Create*** an Instance of the ETDumpGen class and pass it into the `load_method` call that is invoked in the runtime.
diff --git a/docs/source/sdk-etrecord.rst b/docs/source/sdk-etrecord.rst
index 43ed5095c6..63546f43ca 100644
--- a/docs/source/sdk-etrecord.rst
+++ b/docs/source/sdk-etrecord.rst
@@ -9,7 +9,7 @@ users ahead of time (when they export their model to run on ExecuTorch).
 To draw a rough equivalent to conventional software development,
 ``ETRecord`` can be considered as the binary built with debug symbols
 that is used for debugging in GNU Debugger (gdb). It is expected that
-the user will supply this to the ExecuTorch SDK tooling in order for
+the user will supply this to the ExecuTorch Developer Tools in order for
 them to debug and visualize their model.
 
 ``ETRecord`` contains numerous components such as:
@@ -31,7 +31,7 @@ they are interested in working with via our tooling.
 .. warning::
     Users should do a deepcopy of the output of ``to_edge()`` and pass in the deepcopy to the ``generate_etrecord`` API. This is needed because the subsequent call, ``to_executorch()``, does an in-place mutation and will lose debug data in the process.
 
-.. currentmodule:: executorch.sdk.etrecord._etrecord
+.. currentmodule:: executorch.devtools.etrecord._etrecord
 .. autofunction:: generate_etrecord
 
 Using an ``ETRecord``
diff --git a/docs/source/sdk-inspector.rst b/docs/source/sdk-inspector.rst
index e15c1f2a39..4f55271b3f 100644
--- a/docs/source/sdk-inspector.rst
+++ b/docs/source/sdk-inspector.rst
@@ -17,7 +17,7 @@ APIs:
 * By accessing the `public attributes <#inspector-attributes>`__ of the ``Inspector``, ``EventBlock``, and ``Event`` classes.
 * By using a `CLI <#cli>`__ tool for basic functionalities.
 
-Please refer to the `e2e use case doc <tutorials/sdk-integration-tutorial.html>`__ get an understanding of how to use these in a real world example.
+Please refer to the `e2e use case doc <tutorials/devtools-integration-tutorial.html>`__ get an understanding of how to use these in a real world example.
 
 
 Inspector Methods
@@ -26,26 +26,26 @@ Inspector Methods
 Constructor
 ~~~~~~~~~~~
 
-.. autofunction:: executorch.sdk.Inspector.__init__
+.. autofunction:: executorch.devtools.Inspector.__init__
 
 **Example Usage:**
 
 .. code:: python
 
-    from executorch.sdk import Inspector
+    from executorch.devtools import Inspector
 
     inspector = Inspector(etdump_path="/path/to/etdump.etdp", etrecord="/path/to/etrecord.bin")
 
 to_dataframe
 ~~~~~~~~~~~~~~~~
 
-.. autofunction:: executorch.sdk.Inspector.to_dataframe
+.. autofunction:: executorch.devtools.Inspector.to_dataframe
 
 
 print_data_tabular
 ~~~~~~~~~~~~~~~~~~
 
-.. autofunction:: executorch.sdk.Inspector.print_data_tabular
+.. autofunction:: executorch.devtools.Inspector.print_data_tabular
 
 .. _example-usage-1:
 
@@ -62,7 +62,7 @@ Note that the unit of delegate profiling events is "cycles". We're working on pr
 find_total_for_module
 ~~~~~~~~~~~~~~~~~~~~~
 
-.. autofunction:: executorch.sdk.Inspector.find_total_for_module
+.. autofunction:: executorch.devtools.Inspector.find_total_for_module
 
 .. _example-usage-2:
 
@@ -80,7 +80,7 @@ find_total_for_module
 get_exported_program
 ~~~~~~~~~~~~~~~~~~~~
 
-.. autofunction:: executorch.sdk.Inspector.get_exported_program
+.. autofunction:: executorch.devtools.Inspector.get_exported_program
 
 .. _example-usage-3:
 
@@ -119,7 +119,7 @@ of an ``Inspector`` instance, for example:
 
     inspector.event_blocks
 
-.. autoclass:: executorch.sdk.inspector.EventBlock
+.. autoclass:: executorch.devtools.inspector.EventBlock
 
 ``Event`` Class
 ~~~~~~~~~~~~~~~
@@ -127,7 +127,7 @@ of an ``Inspector`` instance, for example:
 Access ``Event`` instances through the ``events`` attribute of an
 ``EventBlock`` instance.
 
-.. autoclass:: executorch.sdk.inspector.Event
+.. autoclass:: executorch.devtools.inspector.Event
 
 **Example Usage:**
 
@@ -152,7 +152,7 @@ table. This command produces the identical table output as calling the
 
 .. code:: bash
 
-    python3 -m sdk.inspector.inspector_cli --etdump_path <path_to_etdump> --etrecord_path <path_to_etrecord>
+    python3 -m devtools.inspector.inspector_cli --etdump_path <path_to_etdump> --etrecord_path <path_to_etrecord>
 
 Note that the `etrecord_path` argument is optional.
 
diff --git a/docs/source/sdk-overview.md b/docs/source/sdk-overview.md
index 53f7d88613..1e8f1fae1b 100644
--- a/docs/source/sdk-overview.md
+++ b/docs/source/sdk-overview.md
@@ -1,44 +1,3 @@
-# Introduction to the ExecuTorch SDK
+# Introduction to the ExecuTorch Developer Tools
 
-ExecuTorch has been designed with [productivity](./intro-overview.md) as one of its core objectives and the ExecuTorch SDK enables this through the comprehensive suite of tools it provides users to help them profile, debug, and visualize models that they have onboarded onto ExecuTorch.
-
-All the components of the SDK have been designed from the ground up with deep integration in both the export process and the runtime. This enables us to provide unique features such as linking back operator execution in the runtime to the line of code in the original eager model that this operator originated from.
-
-## SDK Features
-
-The ExecuTorch SDK supports the following features:
-
-- **BundledProgram** is a utility tool for exporting the model bundled with a sample set of (representative) inputs and expected outputs, so that during runtime users can validate that the actual output is in fact the same as the expected output.
-- **Profiling** models with operator level breakdown of performance stats
-    - Linking back operator performance stats to source code and module hierarchy
-    - Model loading and execution time
-- **Delegate Integration** - Surfacing performance details from delegate backends
-    - Link back delegate operator execution to the nodes they represent in the edge dialect graph (and subsequently linking back to source code and module hierarchy)
-- **Debugging** - Intermediate outputs and output quality analysis
-- **Visualization** - Coming soon
-
-## Fundamental components of the SDK
-
-In order to fully understand and leverage the power of the SDK in this section, the fundamental components that power the SDK will be detailed.
-
-### ETRecord
-ETRecord (ExecuTorch Record) is an artifact generated during the export process that stores the graphs and other metadata that is critical for the SDK tooling to be able to link back the performance/debug data sourced from the runtime to the source code of the eager model.
-
-To draw a rough equivalence to conventional software development ETRecord can be considered as the binary built with debug symbols that is used for debugging in GNU Project debugger (gdb).
-
-More details are available in the [ETRecord documentation](sdk-etrecord.rst) on how to generate and store an ETRecord.
-
-### ETDump
-ETDump (ExecuTorch Dump) is the binary blob that is generated by the runtime after running a model. Similarly as above, to draw a rough equivalence to conventional software development, ETDump can be considered as the coredump of ExecuTorch, but in this case within ETDump we store all the performance and debug data that was generated by the runtime during model execution.
-
-```{note}
-If you only care about looking at the raw performance data without linking back to source code and other extensive features, an ETDump alone will be enough to leverage the basic features of the SDK. For the full experience, it is recommended that the users also generate an ETRecord.
-```
-
-More details are available in the [ETDump documentation](sdk-etdump.md) on how to generate and store an ETDump from the runtime.
-
-
-### Inspector APIs
-The Inspector Python APIs are the main user enrty point into the SDK. They join the data sourced from ETDump and ETRecord to give users access to all the performance and debug data sourced from the runtime along with linkage back to eager model source code and module hierarchy in an easy to use API.
-
-More details are available in the [Inspector API documentation](sdk-inspector.rst) on how to use the Inspector APIs.
+Please update your link to <https://pytorch.org/executorch/main/devtools-overview.html>. This URL will be deleted after v0.4.0.
diff --git a/docs/source/sdk-profiling.md b/docs/source/sdk-profiling.md
index 83276d8d18..e17fb1ae48 100644
--- a/docs/source/sdk-profiling.md
+++ b/docs/source/sdk-profiling.md
@@ -4,7 +4,7 @@ Profiling in ExecuTorch gives users access to these runtime metrics:
 - Model Load Time.
 - Operator Level Execution Time.
 - Delegate Execution Time.
-  - If the delegate that the user is calling into has been integrated with the [SDK](./sdk-delegate-integration.md), then users will also be able to access delegated operator execution time.
+  - If the delegate that the user is calling into has been integrated with the [Developer Tools](./sdk-delegate-integration.md), then users will also be able to access delegated operator execution time.
 - End-to-end Inference Execution Time.
 
 One uniqe aspect of ExecuTorch Profiling is the ability to link every runtime executed operator back to the exact line of python code from which this operator originated. This capability enables users to easily identify hotspots in their model, source them back to the exact line of Python code, and optimize if chosen to.
@@ -20,4 +20,4 @@ We provide access to all the profiling data via the Python [Inspector API](./sdk
     - Through the Inspector API, users can do a wide range of analysis varying from printing out performance details to doing more finer granular calculation on module level.
 
 
-Please refer to the [SDK tutorial](./tutorials/sdk-integration-tutorial.rst) for a step-by-step walkthrough of the above process on a sample model.
+Please refer to the [Developer Tools tutorial](./tutorials/devtools-integration-tutorial.rst) for a step-by-step walkthrough of the above process on a sample model.
diff --git a/docs/source/sdk-tutorial.md b/docs/source/sdk-tutorial.md
index 90c9ed6d34..457d3b47eb 100644
--- a/docs/source/sdk-tutorial.md
+++ b/docs/source/sdk-tutorial.md
@@ -1,3 +1,3 @@
-## SDK usage tutorial
+## Developer Tools Usage Tutorial
 
-Please refer to the [SDK tutorial](./tutorials/sdk-integration-tutorial) for a walkthrough on how to profile a model in ExecuTorch using the SDK.
+Please update your link to <https://pytorch.org/executorch/main/devtools-tutorial.html>. This URL will be deleted after v0.4.0.
diff --git a/docs/source/tutorial-xnnpack-delegate-lowering.md b/docs/source/tutorial-xnnpack-delegate-lowering.md
index 4491a6e8c8..666ee23aa3 100644
--- a/docs/source/tutorial-xnnpack-delegate-lowering.md
+++ b/docs/source/tutorial-xnnpack-delegate-lowering.md
@@ -74,13 +74,13 @@ After lowering to the XNNPACK Program, we can then prepare it for executorch and
 The XNNPACK delegate can also execute symmetrically quantized models. To understand the quantization flow and learn how to quantize models, refer to [Custom Quantization](quantization-custom-quantization.md) note. For the sake of this tutorial, we will leverage the `quantize()` python helper function conveniently added to the `executorch/executorch/examples` folder.
 
 ```python
-from torch._export import capture_pre_autograd_graph
+from torch.export import export_for_training
 from executorch.exir import EdgeCompileConfig
 
 mobilenet_v2 = models.mobilenetv2.mobilenet_v2(weights=MobileNet_V2_Weights.DEFAULT).eval()
 sample_inputs = (torch.randn(1, 3, 224, 224), )
 
-mobilenet_v2 = capture_pre_autograd_graph(mobilenet_v2, sample_inputs) # 2-stage export for quantization path
+mobilenet_v2 = export_for_training(mobilenet_v2, sample_inputs).module() # 2-stage export for quantization path
 
 from torch.ao.quantization.quantize_pt2e import convert_pt2e, prepare_pt2e
 from torch.ao.quantization.quantizer.xnnpack_quantizer import (
@@ -107,7 +107,7 @@ def quantize(model, example_inputs):
 quantized_mobilenetv2 = quantize(mobilenet_v2, sample_inputs)
 ```
 
-Quantization requires a two stage export. First we use the `capture_pre_autograd_graph` API to capture the model before giving it to `quantize` utility function. After performing the quantization step, we can now leverage the XNNPACK delegate to lower the quantized exported model graph. From here, the procedure is the same as for the non-quantized model lowering to XNNPACK.
+Quantization requires a two stage export. First we use the `export_for_training` API to capture the model before giving it to `quantize` utility function. After performing the quantization step, we can now leverage the XNNPACK delegate to lower the quantized exported model graph. From here, the procedure is the same as for the non-quantized model lowering to XNNPACK.
 
 ```python
 # Continued from earlier...
@@ -149,9 +149,10 @@ mkdir cmake-out
 cmake \
     -DCMAKE_INSTALL_PREFIX=cmake-out \
     -DCMAKE_BUILD_TYPE=Release \
+    -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
     -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
     -DEXECUTORCH_BUILD_XNNPACK=ON \
-    -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
     -DEXECUTORCH_ENABLE_LOGGING=ON \
     -DPYTHON_EXECUTABLE=python \
     -Bcmake-out .
diff --git a/docs/source/tutorials_source/devtools-integration-tutorial.py b/docs/source/tutorials_source/devtools-integration-tutorial.py
new file mode 100644
index 0000000000..b5e335b43d
--- /dev/null
+++ b/docs/source/tutorials_source/devtools-integration-tutorial.py
@@ -0,0 +1,301 @@
+# -*- coding: utf-8 -*-
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+"""
+Using the ExecuTorch Developer Tools to Profile a Model
+========================
+
+**Author:** `Jack Khuu <https://github.com/Jack-Khuu>`__
+"""
+
+######################################################################
+# The `ExecuTorch Developer Tools <../devtools-overview.html>`__ is a set of tools designed to
+# provide users with the ability to profile, debug, and visualize ExecuTorch
+# models.
+#
+# This tutorial will show a full end-to-end flow of how to utilize the Developer Tools to profile a model.
+# Specifically, it will:
+#
+# 1. Generate the artifacts consumed by the Developer Tools (`ETRecord <../sdk-etrecord.html>`__, `ETDump <../sdk-etdump.html>`__).
+# 2. Create an Inspector class consuming these artifacts.
+# 3. Utilize the Inspector class to analyze the model profiling result.
+
+######################################################################
+# Prerequisites
+# -------------
+#
+# To run this tutorial, you’ll first need to
+# `Set up your ExecuTorch environment <../getting-started-setup.html>`__.
+#
+
+######################################################################
+# Generate ETRecord (Optional)
+# ----------------------------
+#
+# The first step is to generate an ``ETRecord``. ``ETRecord`` contains model
+# graphs and metadata for linking runtime results (such as profiling) to
+# the eager model. This is generated via ``executorch.devtools.generate_etrecord``.
+#
+# ``executorch.devtools.generate_etrecord`` takes in an output file path (str), the
+# edge dialect model (``EdgeProgramManager``), the ExecuTorch dialect model
+# (``ExecutorchProgramManager``), and an optional dictionary of additional models.
+#
+# In this tutorial, an example model (shown below) is used to demonstrate.
+
+import copy
+
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+from executorch.devtools import generate_etrecord
+
+from executorch.exir import (
+    EdgeCompileConfig,
+    EdgeProgramManager,
+    ExecutorchProgramManager,
+    to_edge,
+)
+from torch.export import export, ExportedProgram
+
+
+# Generate Model
+class Net(nn.Module):
+    def __init__(self):
+        super(Net, self).__init__()
+        # 1 input image channel, 6 output channels, 5x5 square convolution
+        # kernel
+        self.conv1 = nn.Conv2d(1, 6, 5)
+        self.conv2 = nn.Conv2d(6, 16, 5)
+        # an affine operation: y = Wx + b
+        self.fc1 = nn.Linear(16 * 5 * 5, 120)  # 5*5 from image dimension
+        self.fc2 = nn.Linear(120, 84)
+        self.fc3 = nn.Linear(84, 10)
+
+    def forward(self, x):
+        # Max pooling over a (2, 2) window
+        x = F.max_pool2d(F.relu(self.conv1(x)), (2, 2))
+        # If the size is a square, you can specify with a single number
+        x = F.max_pool2d(F.relu(self.conv2(x)), 2)
+        x = torch.flatten(x, 1)  # flatten all dimensions except the batch dimension
+        x = F.relu(self.fc1(x))
+        x = F.relu(self.fc2(x))
+        x = self.fc3(x)
+        return x
+
+
+model = Net()
+
+aten_model: ExportedProgram = export(
+    model,
+    (torch.randn(1, 1, 32, 32),),
+)
+
+edge_program_manager: EdgeProgramManager = to_edge(
+    aten_model, compile_config=EdgeCompileConfig(_check_ir_validity=True)
+)
+edge_program_manager_copy = copy.deepcopy(edge_program_manager)
+et_program_manager: ExecutorchProgramManager = edge_program_manager.to_executorch()
+
+
+# Generate ETRecord
+etrecord_path = "etrecord.bin"
+generate_etrecord(etrecord_path, edge_program_manager_copy, et_program_manager)
+
+# sphinx_gallery_start_ignore
+from unittest.mock import patch
+
+# sphinx_gallery_end_ignore
+
+######################################################################
+#
+# .. warning::
+#    Users should do a deepcopy of the output of ``to_edge()`` and pass in the
+#    deepcopy to the ``generate_etrecord`` API. This is needed because the
+#    subsequent call, ``to_executorch()``, does an in-place mutation and will
+#    lose debug data in the process.
+#
+
+######################################################################
+# Generate ETDump
+# ---------------
+#
+# Next step is to generate an ``ETDump``. ``ETDump`` contains runtime results
+# from executing a `Bundled Program Model <../sdk-bundled-io.html>`__.
+#
+# In this tutorial, a `Bundled Program` is created from the example model above.
+
+import torch
+from executorch.devtools import BundledProgram
+
+from executorch.devtools.bundled_program.config import MethodTestCase, MethodTestSuite
+from executorch.devtools.bundled_program.serialize import (
+    serialize_from_bundled_program_to_flatbuffer,
+)
+
+from executorch.exir import to_edge
+from torch.export import export
+
+# Step 1: ExecuTorch Program Export
+m_name = "forward"
+method_graphs = {m_name: export(model, (torch.randn(1, 1, 32, 32),))}
+
+# Step 2: Construct Method Test Suites
+inputs = [[torch.randn(1, 1, 32, 32)] for _ in range(2)]
+
+method_test_suites = [
+    MethodTestSuite(
+        method_name=m_name,
+        test_cases=[
+            MethodTestCase(inputs=inp, expected_outputs=getattr(model, m_name)(*inp))
+            for inp in inputs
+        ],
+    )
+]
+
+# Step 3: Generate BundledProgram
+executorch_program = to_edge(method_graphs).to_executorch()
+bundled_program = BundledProgram(executorch_program, method_test_suites)
+
+# Step 4: Serialize BundledProgram to flatbuffer.
+serialized_bundled_program = serialize_from_bundled_program_to_flatbuffer(
+    bundled_program
+)
+save_path = "bundled_program.bp"
+with open(save_path, "wb") as f:
+    f.write(serialized_bundled_program)
+
+######################################################################
+# Use CMake (follow `these instructions <../runtime-build-and-cross-compilation.html#configure-the-cmake-build>`__ to set up cmake) to execute the Bundled Program to generate the ``ETDump``::
+#
+#       cd executorch
+#       ./examples/devtools/build_example_runner.sh
+#       cmake-out/examples/devtools/example_runner --bundled_program_path="bundled_program.bp"
+
+######################################################################
+# Creating an Inspector
+# ---------------------
+#
+# Final step is to create the ``Inspector`` by passing in the artifact paths.
+# Inspector takes the runtime results from ``ETDump`` and correlates them to
+# the operators of the Edge Dialect Graph.
+#
+# Recall: An ``ETRecord`` is not required. If an ``ETRecord`` is not provided,
+# the Inspector will show runtime results without operator correlation.
+#
+# To visualize all runtime events, call Inspector's ``print_data_tabular``.
+
+from executorch.devtools import Inspector
+
+# sphinx_gallery_start_ignore
+inspector_patch = patch.object(Inspector, "__init__", return_value=None)
+inspector_patch_print = patch.object(Inspector, "print_data_tabular", return_value="")
+inspector_patch.start()
+inspector_patch_print.start()
+# sphinx_gallery_end_ignore
+etrecord_path = "etrecord.bin"
+etdump_path = "etdump.etdp"
+inspector = Inspector(etdump_path=etdump_path, etrecord=etrecord_path)
+# sphinx_gallery_start_ignore
+inspector.event_blocks = []
+# sphinx_gallery_end_ignore
+inspector.print_data_tabular()
+
+# sphinx_gallery_start_ignore
+inspector_patch.stop()
+inspector_patch_print.stop()
+# sphinx_gallery_end_ignore
+
+######################################################################
+# Analyzing with an Inspector
+# ---------------------------
+#
+# ``Inspector`` provides 2 ways of accessing ingested information: `EventBlocks <../sdk-inspector#eventblock-class>`__
+# and ``DataFrames``. These mediums give users the ability to perform custom
+# analysis about their model performance.
+#
+# Below are examples usages, with both ``EventBlock`` and ``DataFrame`` approaches.
+
+# Set Up
+import pprint as pp
+
+import pandas as pd
+
+pd.set_option("display.max_colwidth", None)
+pd.set_option("display.max_columns", None)
+
+######################################################################
+# If a user wants the raw profiling results, they would do something similar to
+# finding the raw runtime data of an ``addmm.out`` event.
+
+for event_block in inspector.event_blocks:
+    # Via EventBlocks
+    for event in event_block.events:
+        if event.name == "native_call_addmm.out":
+            print(event.name, event.perf_data.raw)
+
+    # Via Dataframe
+    df = event_block.to_dataframe()
+    df = df[df.event_name == "native_call_addmm.out"]
+    print(df[["event_name", "raw"]])
+    print()
+
+######################################################################
+# If a user wants to trace an operator back to their model code, they would do
+# something similar to finding the module hierarchy and stack trace of the
+# slowest ``convolution.out`` call.
+
+for event_block in inspector.event_blocks:
+    # Via EventBlocks
+    slowest = None
+    for event in event_block.events:
+        if event.name == "native_call_convolution.out":
+            if slowest is None or event.perf_data.p50 > slowest.perf_data.p50:
+                slowest = event
+    if slowest is not None:
+        print(slowest.name)
+        print()
+        pp.pprint(slowest.stack_traces)
+        print()
+        pp.pprint(slowest.module_hierarchy)
+
+    # Via Dataframe
+    df = event_block.to_dataframe()
+    df = df[df.event_name == "native_call_convolution.out"]
+    if len(df) > 0:
+        slowest = df.loc[df["p50"].idxmax()]
+        print(slowest.event_name)
+        print()
+        pp.pprint(slowest.stack_traces)
+        print()
+        pp.pprint(slowest.module_hierarchy)
+
+######################################################################
+# If a user wants the total runtime of a module, they can use
+# ``find_total_for_module``.
+
+print(inspector.find_total_for_module("L__self__"))
+print(inspector.find_total_for_module("L__self___conv2"))
+
+######################################################################
+# Note: ``find_total_for_module`` is a special first class method of
+# `Inspector <../sdk-inspector.html>`__
+
+######################################################################
+# Conclusion
+# ----------
+#
+# In this tutorial, we learned about the steps required to consume an ExecuTorch
+# model with the ExecuTorch Developer Tools. It also showed how to use the Inspector APIs
+# to analyze the model run results.
+#
+# Links Mentioned
+# ^^^^^^^^^^^^^^^
+#
+# - `ExecuTorch Developer Tools Overview <../devtools-overview.html>`__
+# - `ETRecord <../sdk-etrecord.html>`__
+# - `ETDump <../sdk-etdump.html>`__
+# - `Inspector <../sdk-inspector.html>`__
diff --git a/docs/source/tutorials_source/export-to-executorch-tutorial.py b/docs/source/tutorials_source/export-to-executorch-tutorial.py
index 2071567ddd..fac3eab08e 100644
--- a/docs/source/tutorials_source/export-to-executorch-tutorial.py
+++ b/docs/source/tutorials_source/export-to-executorch-tutorial.py
@@ -179,8 +179,8 @@ def forward(self, x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
 # -----------------------
 #
 # To quantize a model, we first need to capture the graph with
-# ``torch._export.capture_pre_autograd_graph``, perform quantization, and then
-# call ``torch.export``. ``torch._export.capture_pre_autograd_graph`` returns a
+# ``torch.export.export_for_training``, perform quantization, and then
+# call ``torch.export``. ``torch.export.export_for_training`` returns a
 # graph which contains ATen operators which are Autograd safe, meaning they are
 # safe for eager-mode training, which is needed for quantization. We will call
 # the graph at this level, the ``Pre-Autograd ATen Dialect`` graph.
@@ -193,10 +193,10 @@ def forward(self, x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
 # will annotate the nodes in the graph with information needed to quantize the
 # model properly for a specific backend.
 
-from torch._export import capture_pre_autograd_graph
+from torch.export import export_for_training
 
 example_args = (torch.randn(1, 3, 256, 256),)
-pre_autograd_aten_dialect = capture_pre_autograd_graph(SimpleConv(), example_args)
+pre_autograd_aten_dialect = export_for_training(SimpleConv(), example_args).module()
 print("Pre-Autograd ATen Dialect Graph")
 print(pre_autograd_aten_dialect)
 
@@ -523,9 +523,7 @@ def forward(self, a, x, b):
 executorch_program: ExecutorchProgramManager = edge_program.to_executorch(
     ExecutorchBackendConfig(
         passes=[],  # User-defined passes
-        memory_planning_pass=MemoryPlanningPass(
-            "greedy"
-        ),  # Default memory planning pass
+        memory_planning_pass=MemoryPlanningPass(),  # Default memory planning pass
     )
 )
 
@@ -562,8 +560,7 @@ def forward(self, a, x, b):
 # Here is an example for an entire end-to-end workflow:
 
 import torch
-from torch._export import capture_pre_autograd_graph
-from torch.export import export, ExportedProgram
+from torch.export import export, export_for_training, ExportedProgram
 
 
 class M(torch.nn.Module):
@@ -577,7 +574,7 @@ def forward(self, x):
 
 
 example_args = (torch.randn(3, 4),)
-pre_autograd_aten_dialect = capture_pre_autograd_graph(M(), example_args)
+pre_autograd_aten_dialect = export_for_training(M(), example_args).module()
 # Optionally do quantization:
 # pre_autograd_aten_dialect = convert_pt2e(prepare_pt2e(pre_autograd_aten_dialect, CustomBackendQuantizer))
 aten_dialect: ExportedProgram = export(pre_autograd_aten_dialect, example_args)
diff --git a/docs/source/tutorials_source/sdk-integration-tutorial.py b/docs/source/tutorials_source/sdk-integration-tutorial.py
index ccc2e480ad..b9a8009c64 100644
--- a/docs/source/tutorials_source/sdk-integration-tutorial.py
+++ b/docs/source/tutorials_source/sdk-integration-tutorial.py
@@ -6,295 +6,8 @@
 # LICENSE file in the root directory of this source tree.
 
 """
-Using the ExecuTorch SDK to Profile a Model
+Using the ExecuTorch Developer Tools to Profile a Model
 ========================
 
-**Author:** `Jack Khuu <https://github.com/Jack-Khuu>`__
+Please update your link to <https://pytorch.org/executorch/main/tutorials/devtools-integration-tutorial.html>. This URL will be deleted after v0.4.0.
 """
-
-######################################################################
-# The `ExecuTorch SDK <../sdk-overview.html>`__ is a set of tools designed to
-# provide users with the ability to profile, debug, and visualize ExecuTorch
-# models.
-#
-# This tutorial will show a full end-to-end flow of how to utilize the SDK.
-# Specifically, it will:
-#
-# 1. Generate the artifacts consumed by the SDK (`ETRecord <../sdk-etrecord.html>`__, `ETDump <../sdk-etdump.html>`__).
-# 2. Create an Inspector class consuming these artifacts.
-# 3. Utilize the Inspector class to analyze the model.
-
-######################################################################
-# Prerequisites
-# -------------
-#
-# To run this tutorial, you’ll first need to
-# `Set up your ExecuTorch environment <../getting-started-setup.html>`__.
-#
-
-######################################################################
-# Generate ETRecord (Optional)
-# ----------------------------
-#
-# The first step is to generate an ``ETRecord``. ``ETRecord`` contains model
-# graphs and metadata for linking runtime results (such as profiling) to
-# the eager model. This is generated via ``executorch.sdk.generate_etrecord``.
-#
-# ``executorch.sdk.generate_etrecord`` takes in an output file path (str), the
-# edge dialect model (``EdgeProgramManager``), the ExecuTorch dialect model
-# (``ExecutorchProgramManager``), and an optional dictionary of additional models.
-#
-# In this tutorial, an example model (shown below) is used to demonstrate.
-
-import copy
-
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-
-from executorch.exir import (
-    EdgeCompileConfig,
-    EdgeProgramManager,
-    ExecutorchProgramManager,
-    to_edge,
-)
-from executorch.sdk import generate_etrecord
-from torch.export import export, ExportedProgram
-
-
-# Generate Model
-class Net(nn.Module):
-    def __init__(self):
-        super(Net, self).__init__()
-        # 1 input image channel, 6 output channels, 5x5 square convolution
-        # kernel
-        self.conv1 = nn.Conv2d(1, 6, 5)
-        self.conv2 = nn.Conv2d(6, 16, 5)
-        # an affine operation: y = Wx + b
-        self.fc1 = nn.Linear(16 * 5 * 5, 120)  # 5*5 from image dimension
-        self.fc2 = nn.Linear(120, 84)
-        self.fc3 = nn.Linear(84, 10)
-
-    def forward(self, x):
-        # Max pooling over a (2, 2) window
-        x = F.max_pool2d(F.relu(self.conv1(x)), (2, 2))
-        # If the size is a square, you can specify with a single number
-        x = F.max_pool2d(F.relu(self.conv2(x)), 2)
-        x = torch.flatten(x, 1)  # flatten all dimensions except the batch dimension
-        x = F.relu(self.fc1(x))
-        x = F.relu(self.fc2(x))
-        x = self.fc3(x)
-        return x
-
-
-model = Net()
-
-aten_model: ExportedProgram = export(
-    model,
-    (torch.randn(1, 1, 32, 32),),
-)
-
-edge_program_manager: EdgeProgramManager = to_edge(
-    aten_model, compile_config=EdgeCompileConfig(_check_ir_validity=True)
-)
-edge_program_manager_copy = copy.deepcopy(edge_program_manager)
-et_program_manager: ExecutorchProgramManager = edge_program_manager.to_executorch()
-
-
-# Generate ETRecord
-etrecord_path = "etrecord.bin"
-generate_etrecord(etrecord_path, edge_program_manager_copy, et_program_manager)
-
-# sphinx_gallery_start_ignore
-from unittest.mock import patch
-
-# sphinx_gallery_end_ignore
-
-######################################################################
-#
-# .. warning::
-#    Users should do a deepcopy of the output of ``to_edge()`` and pass in the
-#    deepcopy to the ``generate_etrecord`` API. This is needed because the
-#    subsequent call, ``to_executorch()``, does an in-place mutation and will
-#    lose debug data in the process.
-#
-
-######################################################################
-# Generate ETDump
-# ---------------
-#
-# Next step is to generate an ``ETDump``. ``ETDump`` contains runtime results
-# from executing a `Bundled Program Model <../sdk-bundled-io.html>`__.
-#
-# In this tutorial, a `Bundled Program` is created from the example model above.
-
-import torch
-
-from executorch.exir import to_edge
-from executorch.sdk import BundledProgram
-
-from executorch.sdk.bundled_program.config import MethodTestCase, MethodTestSuite
-from executorch.sdk.bundled_program.serialize import (
-    serialize_from_bundled_program_to_flatbuffer,
-)
-from torch.export import export
-
-# Step 1: ExecuTorch Program Export
-m_name = "forward"
-method_graphs = {m_name: export(model, (torch.randn(1, 1, 32, 32),))}
-
-# Step 2: Construct Method Test Suites
-inputs = [[torch.randn(1, 1, 32, 32)] for _ in range(2)]
-
-method_test_suites = [
-    MethodTestSuite(
-        method_name=m_name,
-        test_cases=[
-            MethodTestCase(inputs=inp, expected_outputs=getattr(model, m_name)(*inp))
-            for inp in inputs
-        ],
-    )
-]
-
-# Step 3: Generate BundledProgram
-executorch_program = to_edge(method_graphs).to_executorch()
-bundled_program = BundledProgram(executorch_program, method_test_suites)
-
-# Step 4: Serialize BundledProgram to flatbuffer.
-serialized_bundled_program = serialize_from_bundled_program_to_flatbuffer(
-    bundled_program
-)
-save_path = "bundled_program.bp"
-with open(save_path, "wb") as f:
-    f.write(serialized_bundled_program)
-
-######################################################################
-# Use CMake (follow `these instructions <../runtime-build-and-cross-compilation.html#configure-the-cmake-build>`__ to set up cmake) to execute the Bundled Program to generate the ``ETDump``::
-#
-#       cd executorch
-#       ./examples/sdk/build_sdk_example_runner.sh
-#       cmake-out/examples/sdk/sdk_example_runner --bundled_program_path="bundled_program.bp"
-
-######################################################################
-# Creating an Inspector
-# ---------------------
-#
-# Final step is to create the ``Inspector`` by passing in the artifact paths.
-# Inspector takes the runtime results from ``ETDump`` and correlates them to
-# the operators of the Edge Dialect Graph.
-#
-# Recall: An ``ETRecord`` is not required. If an ``ETRecord`` is not provided,
-# the Inspector will show runtime results without operator correlation.
-#
-# To visualize all runtime events, call Inspector's ``print_data_tabular``.
-
-from executorch.sdk import Inspector
-
-# sphinx_gallery_start_ignore
-inspector_patch = patch.object(Inspector, "__init__", return_value=None)
-inspector_patch_print = patch.object(Inspector, "print_data_tabular", return_value="")
-inspector_patch.start()
-inspector_patch_print.start()
-# sphinx_gallery_end_ignore
-etdump_path = "etdump.etdp"
-inspector = Inspector(etdump_path=etdump_path, etrecord=etrecord_path)
-# sphinx_gallery_start_ignore
-inspector.event_blocks = []
-# sphinx_gallery_end_ignore
-inspector.print_data_tabular()
-
-# sphinx_gallery_start_ignore
-inspector_patch.stop()
-inspector_patch_print.stop()
-# sphinx_gallery_end_ignore
-
-######################################################################
-# Analyzing with an Inspector
-# ---------------------------
-#
-# ``Inspector`` provides 2 ways of accessing ingested information: `EventBlocks <../sdk-inspector#eventblock-class>`__
-# and ``DataFrames``. These mediums give users the ability to perform custom
-# analysis about their model performance.
-#
-# Below are examples usages, with both ``EventBlock`` and ``DataFrame`` approaches.
-
-# Set Up
-import pprint as pp
-
-import pandas as pd
-
-pd.set_option("display.max_colwidth", None)
-pd.set_option("display.max_columns", None)
-
-######################################################################
-# If a user wants the raw profiling results, they would do something similar to
-# finding the raw runtime data of an ``addmm.out`` event.
-
-for event_block in inspector.event_blocks:
-    # Via EventBlocks
-    for event in event_block.events:
-        if event.name == "native_call_addmm.out":
-            print(event.name, event.perf_data.raw)
-
-    # Via Dataframe
-    df = event_block.to_dataframe()
-    df = df[df.event_name == "native_call_addmm.out"]
-    print(df[["event_name", "raw"]])
-    print()
-
-######################################################################
-# If a user wants to trace an operator back to their model code, they would do
-# something similar to finding the module hierarchy and stack trace of the
-# slowest ``convolution.out`` call.
-
-for event_block in inspector.event_blocks:
-    # Via EventBlocks
-    slowest = None
-    for event in event_block.events:
-        if event.name == "native_call_convolution.out":
-            if slowest is None or event.perf_data.p50 > slowest.perf_data.p50:
-                slowest = event
-    if slowest is not None:
-        print(slowest.name)
-        print()
-        pp.pprint(slowest.stack_traces)
-        print()
-        pp.pprint(slowest.module_hierarchy)
-
-    # Via Dataframe
-    df = event_block.to_dataframe()
-    df = df[df.event_name == "native_call_convolution.out"]
-    if len(df) > 0:
-        slowest = df.loc[df["p50"].idxmax()]
-        print(slowest.event_name)
-        print()
-        pp.pprint(slowest.stack_traces)
-        print()
-        pp.pprint(slowest.module_hierarchy)
-
-######################################################################
-# If a user wants the total runtime of a module, they can use
-# ``find_total_for_module``.
-
-print(inspector.find_total_for_module("L__self__"))
-print(inspector.find_total_for_module("L__self___conv2"))
-
-######################################################################
-# Note: ``find_total_for_module`` is a special first class method of
-# `Inspector <../sdk-inspector.html>`__
-
-######################################################################
-# Conclusion
-# ----------
-#
-# In this tutorial, we learned about the steps required to consume an ExecuTorch
-# model with the ExecuTorch SDK. It also showed how to use the Inspector APIs
-# to analyze the model run results.
-#
-# Links Mentioned
-# ^^^^^^^^^^^^^^^
-#
-# - `ExecuTorch SDK <../sdk-overview.html>`__
-# - `ETRecord <../sdk-etrecord.html>`__
-# - `ETDump <../sdk-etdump.html>`__
-# - `Inspector <../sdk-inspector.html>`__
diff --git a/docs/website/docs/tutorials/bundled_program.md b/docs/website/docs/tutorials/bundled_program.md
index 9dd2a8a95a..e477d8e6a6 100644
--- a/docs/website/docs/tutorials/bundled_program.md
+++ b/docs/website/docs/tutorials/bundled_program.md
@@ -49,19 +49,15 @@ Error GetProgramData(
 
 Here's an example of how to use the GetProgramData API:
 ```c++
-  std::shared_ptr<char> buff_ptr;
-  size_t buff_len;
-
-// FILE_PATH here can be either BundledProgram or Program flatbuffer file.
-  Error status = torch::executor::util::read_file_content(
-      FILE_PATH, &buff_ptr, &buff_len);
-  ET_CHECK_MSG(
-      status == Error::Ok,
-      "read_file_content() failed with status 0x%" PRIx32,
-      status);
-
-  uint32_t prof_tok = EXECUTORCH_BEGIN_PROF("de-serialize model");
-
+  // Assume that the user has read the contents of the file into file_data using
+  // whatever method works best for their application. The file could contain
+  // either BundledProgram data or Program data.
+  void* file_data = ...;
+  size_t file_data_len = ...;
+
+  // If file_data contains a BundledProgram, GetProgramData() will return a
+  // pointer to the Program data embedded inside it. Otherwise it will return
+  // file_data, which already pointed to Program data.
   const void* program_ptr;
   size_t program_len;
   status = torch::executor::bundled_program::GetProgramData(
@@ -88,7 +84,7 @@ To execute the program on the bundled input, we need to load the bundled input i
  * @returns Return Error::Ok if load successfully, or the error happens during
  * execution.
  */
-__ET_NODISCARD Error LoadBundledInput(
+ET_NODISCARD Error LoadBundledInput(
     Method& method,
     serialized_bundled_program* bundled_program_ptr,
     size_t testset_idx);
@@ -111,7 +107,7 @@ We call `torch::executor::bundled_program::VerifyResultWithBundledExpectedOutput
  * @returns Return Error::Ok if two outputs match, or the error happens during
  * execution.
  */
-__ET_NODISCARD Error VerifyResultWithBundledExpectedOutput(
+ET_NODISCARD Error VerifyResultWithBundledExpectedOutput(
     Method& method,
     serialized_bundled_program* bundled_program_ptr,
     size_t testset_idx,
@@ -122,14 +118,13 @@ __ET_NODISCARD Error VerifyResultWithBundledExpectedOutput(
 
 ### Example
 
-Here we provide an example about how to run the bundled program step by step. Most of the code are borrowed from "fbcode/executorch/sdk/fb/runners/executor_runner.cpp" and please review that file if you need more info and context:
+Here we provide an example about how to run the bundled program step by step.
 
 ```c++
     // method_name is the name for the method we want to test
     // memory_manager is the executor::MemoryManager variable for executor memory allocation.
     // program is the executorch program.
     Result<Method> method = program->load_method(method_name, &memory_manager);
-    EXECUTORCH_END_PROF(prof_tok);
     ET_CHECK_MSG(
         method.ok(),
         "load_method() failed with status 0x%" PRIx32,
diff --git a/examples/README.md b/examples/README.md
index 0b0ff0daf3..e3a18cf5a0 100644
--- a/examples/README.md
+++ b/examples/README.md
@@ -13,7 +13,7 @@ examples
 ├── models                            # Contains a set of popular and representative PyTorch models
 ├── portable                          # Contains end-to-end demos for ExecuTorch in portable mode
 ├── selective_build                   # Contains demos of selective build for optimizing the binary size of the ExecuTorch runtime
-├── sdk                               # Contains demos of BundledProgram and ETDump
+├── devtools                          # Contains demos of BundledProgram and ETDump
 ├── demo-apps                         # Contains demo apps for Android and iOS
 ├── xnnpack                           # Contains end-to-end ExecuTorch demos with first-party optimization using XNNPACK
 ├── apple
@@ -35,13 +35,17 @@ A user's journey may commence by exploring the demos located in the [`portable/`
 
 [This page](./models/llama2/README.md) demonstrates how to run Llama 2 7B and Llama 3 8B models on mobile via ExecuTorch. We use XNNPACK to accelerate the performance and 4-bit groupwise PTQ quantization to fit the model on Android and iOS mobile phones.
 
+## Demo of Llava1.5 7B
+
+[This page](./models/llava/README.md) demonstrates how to run [Llava 1.5 7B](https://github.com/haotian-liu/LLaVA) model on mobile via ExecuTorch. We use XNNPACK to accelerate the performance and 4-bit groupwise PTQ quantization to fit the model on Android and iOS mobile phones.
+
 ## Demo of Selective Build
 
 To understand how to deploy the ExecuTorch runtime with optimization for binary size, explore the demos available in the [`selective_build/`](./selective_build) directory. These demos are specifically designed to illustrate the [Selective Build](../docs/source/kernel-library-selective_build.md), offering insights into reducing the binary size while maintaining efficiency.
 
-## Demo of ExecuTorch SDK
+## Demo of ExecuTorch Developer Tools
 
-You will find demos of [ExecuTorch SDK](./sdk/) in the [`sdk/`](./sdk/) directory. The examples focuses on exporting and executing BundledProgram for ExecuTorch model verification and ETDump for collecting profiling and debug data.
+You will find demos of [ExecuTorch Developer Tools](./devtools/) in the [`devtools/`](./devtools/) directory. The examples focuses on exporting and executing BundledProgram for ExecuTorch model verification and ETDump for collecting profiling and debug data.
 
 ## Demo Apps
 
@@ -63,9 +67,9 @@ The [`arm/`](./arm) directory contains scripts to help you run a PyTorch model o
 
 You will find demos of [ExecuTorch QNN Backend](./qualcomm) in the [`qualcomm/`](./qualcomm) directory.
 
-## Demo of ExecuTorch on Xtensa HiFi4 DSP
+## Demo of ExecuTorch on Cadence HiFi4 DSP
 
-The [`xtensa/`](./xtensa) directory hosts a demo that showcases the process of exporting and executing a model on Xtensa Hifi4 DSP. You can utilize [this tutorial](../docs/source/build-run-xtensa.md) to guide you in configuring the demo and running it.
+The [`Cadence/`](./cadence) directory hosts a demo that showcases the process of exporting and executing a model on Xtensa Hifi4 DSP. You can utilize [this tutorial](../docs/source/build-run-xtensa.md) to guide you in configuring the demo and running it.
 
 ## Dependencies
 
diff --git a/examples/apple/coreml/executor_runner/main.mm b/examples/apple/coreml/executor_runner/main.mm
index 346c59637a..405bfb9c6c 100644
--- a/examples/apple/coreml/executor_runner/main.mm
+++ b/examples/apple/coreml/executor_runner/main.mm
@@ -13,8 +13,7 @@
 #import <executorch/runtime/executor/program.h>
 #import <executorch/runtime/platform/log.h>
 #import <executorch/runtime/platform/runtime.h>
-#import <executorch/sdk/etdump/etdump_flatcc.h>
-#import <executorch/util/util.h>
+#import <executorch/devtools/etdump/etdump_flatcc.h>
 #import <memory>
 #import <numeric>
 #import <string>
@@ -25,8 +24,25 @@ static inline id check_class(id obj, Class cls) {
 
 #define SAFE_CAST(Object, Type) ((Type *)check_class(Object, [Type class]))
 
-using namespace torch::executor;
-using torch::executor::util::FileDataLoader;
+using executorch::etdump::ETDumpGen;
+using executorch::etdump::ETDumpResult;
+using executorch::extension::FileDataLoader;
+using executorch::runtime::DataLoader;
+using executorch::runtime::EValue;
+using executorch::runtime::Error;
+using executorch::runtime::EventTracer;
+using executorch::runtime::EventTracerDebugLogLevel;
+using executorch::runtime::FreeableBuffer;
+using executorch::runtime::HierarchicalAllocator;
+using executorch::runtime::MemoryAllocator;
+using executorch::runtime::MemoryManager;
+using executorch::runtime::Method;
+using executorch::runtime::MethodMeta;
+using executorch::runtime::Program;
+using executorch::runtime::Result;
+using executorch::runtime::Span;
+using executorch::runtime::TensorInfo;
+using torch::executor::CoreMLBackendDelegate;
 
 static constexpr size_t kRuntimeMemorySize = 16 * 1024U * 1024U; // 16 MB
 
@@ -154,13 +170,13 @@ Args parse_command_line_args(NSArray<NSString *> *args) {
     return data;
 }
 
-class DataLoaderImpl: public DataLoader {
+class DataLoaderImpl final : public DataLoader {
 public:
     DataLoaderImpl(const std::string& filePath)
     :data_(read_data(filePath))
     {}
 
-    Result<FreeableBuffer> load(size_t offset, size_t size, __ET_UNUSED const DataLoader::SegmentInfo& segment_info) override {
+    Result<FreeableBuffer> load(size_t offset, size_t size, ET_UNUSED const DataLoader::SegmentInfo& segment_info) const override {
         NSData *subdata = [data_ subdataWithRange:NSMakeRange(offset, size)];
         return FreeableBuffer(subdata.bytes, size, nullptr);
     }
@@ -170,7 +186,7 @@ Args parse_command_line_args(NSArray<NSString *> *args) {
     }
 
 private:
-    NSData *data_;
+    NSData * const data_;
 };
 
 using Buffer = std::vector<uint8_t>;
@@ -295,7 +311,7 @@ bool is_model_analysis_enabled(const Args& args) {
 }
 
 void dump_etdump_gen(ETDumpGen *etdump_gen, const Buffer& debug_buffer, const Args& args) {
-    etdump_result result = (etdump_gen != nullptr) ? etdump_gen->get_etdump_data() : etdump_result{.buf = nullptr, .size = 0};
+    ETDumpResult result = (etdump_gen != nullptr) ? etdump_gen->get_etdump_data() : ETDumpResult{.buf = nullptr, .size = 0};
     if (result.size == 0) {
         return;
     }
@@ -317,7 +333,7 @@ void dump_etdump_gen(ETDumpGen *etdump_gen, const Buffer& debug_buffer, const Ar
 
 int main(int argc, char * argv[]) {
     @autoreleasepool {
-        runtime_init();
+        executorch::runtime::runtime_init();
 
         auto args = parse_command_line_args([[NSProcessInfo processInfo] arguments]);
         if (args.purge_models_cache) {
diff --git a/examples/apple/coreml/scripts/build_executor_runner.sh b/examples/apple/coreml/scripts/build_executor_runner.sh
index 86ff5f6edb..89cd45ea6b 100755
--- a/examples/apple/coreml/scripts/build_executor_runner.sh
+++ b/examples/apple/coreml/scripts/build_executor_runner.sh
@@ -29,17 +29,18 @@ rm -rf "$CMAKE_BUILD_DIR_PATH"
 # Build executorch
 echo "ExecuTorch: Building executorch"
 cmake "$EXECUTORCH_ROOT_PATH" -B"$CMAKE_BUILD_DIR_PATH" \
+-DCMAKE_BUILD_TYPE=Release \
 -DCMAKE_TOOLCHAIN_FILE="$IOS_TOOLCHAIN_PATH" \
 -DPLATFORM=MAC_UNIVERSAL \
 -DDEPLOYMENT_TARGET=13.0 \
 -DFLATC_EXECUTABLE="$(which flatc)" \
 -DEXECUTORCH_BUILD_EXECUTOR_RUNNER=OFF \
 -DEXECUTORCH_BUILD_XNNPACK=OFF \
--DEXECUTORCH_BUILD_SDK=ON \
+-DEXECUTORCH_BUILD_DEVTOOLS=ON \
 -DEXECUTORCH_BUILD_COREML=ON \
--DCOREML_BUILD_EXECUTOR_RUNNER=ON \
 -Dprotobuf_BUILD_TESTS=OFF \
 -Dprotobuf_BUILD_EXAMPLES=OFF \
+-DCOREML_BUILD_EXECUTOR_RUNNER=ON \
 -DCMAKE_MACOSX_BUNDLE=OFF \
 
 cmake --build "$CMAKE_BUILD_DIR_PATH" -j9 -t coremldelegate
@@ -55,7 +56,7 @@ mkdir -p "$EXECUTORCH_INCLUDE_DIR_PATH"
 find extension \( -name "*.h" -o -name "*.hpp" \) -exec rsync -R '{}' "$EXECUTORCH_INCLUDE_DIR_PATH" \;
 find runtime \( -name "*.h" -o -name "*.hpp" \) -exec rsync -R '{}' "$EXECUTORCH_INCLUDE_DIR_PATH" \;
 find util \( -name "*.h" -o -name "*.hpp" \) -exec rsync -R '{}' "$EXECUTORCH_INCLUDE_DIR_PATH" \;
-find sdk \( -name "*.h" -o -name "*.hpp" \) -exec rsync -R '{}' "$EXECUTORCH_INCLUDE_DIR_PATH" \;
+find devtools \( -name "*.h" -o -name "*.hpp" \) -exec rsync -R '{}' "$EXECUTORCH_INCLUDE_DIR_PATH" \;
 cp -rf "$COREML_DIR_PATH/runtime/include/" "$INCLUDE_DIR_PATH"
 
 # Copy required libraries
diff --git a/examples/apple/coreml/scripts/debugger_cli.py b/examples/apple/coreml/scripts/debugger_cli.py
new file mode 100644
index 0000000000..88390f8d8c
--- /dev/null
+++ b/examples/apple/coreml/scripts/debugger_cli.py
@@ -0,0 +1,181 @@
+# Copyright © 2024 Apple Inc. All rights reserved.
+#
+# Please refer to the license found in the LICENSE file in the root directory of the source tree.
+
+import argparse
+import sys
+import tempfile
+from pathlib import Path
+from typing import List, Tuple
+
+import coremltools as ct
+from executorch.backends.apple.coreml.compiler import CoreMLBackend
+from executorch.exir import EdgeProgramManager
+
+from executorch.exir.backend.compile_spec_schema import CompileSpec
+from executorch.exir.tracer import Value
+from tabulate import tabulate
+
+
+def get_root_dir_path() -> Path:
+    return Path(__file__).resolve().parent.parent.parent.parent.parent
+
+
+sys.path.append(str((get_root_dir_path() / "examples").resolve()))
+
+from inspector_utils import (
+    build_devtools_runner_including_coreml,
+    ComparisonResult,
+    create_inspector_coreml,
+    create_inspector_reference,
+    get_comparison_result,
+    module_to_edge,
+)
+
+from models import MODEL_NAME_TO_MODEL
+from models.model_factory import EagerModelFactory
+
+
+def args_parser() -> argparse.ArgumentParser:
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "-m",
+        "--model_name",
+        required=True,
+        help=f"Provide model name. Valid ones: {list(MODEL_NAME_TO_MODEL.keys())}",
+    )
+
+    parser.add_argument(
+        "-c",
+        "--compute_unit",
+        required=False,
+        default=ct.ComputeUnit.ALL.name.lower(),
+        help=f"Provide compute unit for the model. Valid ones: {[[compute_unit.name.lower() for compute_unit in ct.ComputeUnit]]}",
+    )
+
+    parser.add_argument(
+        "-precision",
+        "--compute_precision",
+        required=False,
+        default=ct.precision.FLOAT16.value,
+        help=f"Provide compute precision for the model. Valid ones: {[[precision.value for precision in ct.precision]]}",
+    )
+
+    parser.add_argument(
+        "--compile",
+        action=argparse.BooleanOptionalAction,
+        required=False,
+        default=False,
+    )
+
+    parser.add_argument(
+        "-env",
+        "--conda_environment_name",
+        required=False,
+        default="executorch",
+        help="Provide conda environment name.",
+    )
+
+    return parser
+
+
+def get_compile_specs_from_args(args):
+    model_type = CoreMLBackend.MODEL_TYPE.MODEL
+    if args.compile:
+        model_type = CoreMLBackend.MODEL_TYPE.COMPILED_MODEL
+
+    compute_precision = ct.precision(args.compute_precision)
+    compute_unit = ct.ComputeUnit[args.compute_unit.upper()]
+
+    return CoreMLBackend.generate_compile_specs(
+        compute_precision=compute_precision,
+        compute_unit=compute_unit,
+        model_type=model_type,
+        minimum_deployment_target=ct.target.iOS17,
+    )
+
+
+def compare_intermediate_tensors(
+    edge_program: EdgeProgramManager,
+    example_inputs: Tuple[Value, ...],
+    coreml_compile_specs: List[CompileSpec],
+    model_name: str,
+    working_dir_path: Path,
+) -> ComparisonResult:
+    inspector_coreml = create_inspector_coreml(
+        edge_program=edge_program,
+        compile_specs=coreml_compile_specs,
+        example_inputs=example_inputs,
+        model_name=model_name,
+        working_dir_path=working_dir_path,
+        root_dir_path=get_root_dir_path(),
+    )
+
+    inspector_reference = create_inspector_reference(
+        edge_program=edge_program,
+        example_inputs=example_inputs,
+        model_name=model_name,
+        working_dir_path=working_dir_path,
+        root_dir_path=get_root_dir_path(),
+    )
+
+    return get_comparison_result(
+        inspector1=inspector_reference,
+        tag1="reference",
+        inspector2=inspector_coreml,
+        tag2="coreml",
+    )
+
+
+def main() -> None:
+    parser = args_parser()
+    args = parser.parse_args()
+
+    if args.model_name not in MODEL_NAME_TO_MODEL:
+        raise RuntimeError(
+            f"Model {args.model_name} is not a valid name. "
+            f"Available models are {list(MODEL_NAME_TO_MODEL.keys())}."
+        )
+
+    valid_compute_units = [compute_unit.name.lower() for compute_unit in ct.ComputeUnit]
+    if args.compute_unit not in valid_compute_units:
+        raise RuntimeError(
+            f"{args.compute_unit} is invalid. "
+            f"Valid compute units are {valid_compute_units}."
+        )
+
+    build_devtools_runner_including_coreml(
+        root_dir_path=get_root_dir_path(), conda_env_name=args.conda_environment_name
+    )
+
+    model, example_inputs, _ = EagerModelFactory.create_model(
+        *MODEL_NAME_TO_MODEL[args.model_name]
+    )
+
+    model.eval()
+    edge_program = module_to_edge(
+        module=model,
+        example_inputs=example_inputs,
+    )
+
+    coreml_compile_specs = get_compile_specs_from_args(args)
+
+    with tempfile.TemporaryDirectory() as temp_dir_name:
+        working_dir_path = Path(temp_dir_name) / "debugger"
+        working_dir_path.mkdir(parents=True, exist_ok=True)
+        comparison_result = compare_intermediate_tensors(
+            edge_program=edge_program,
+            example_inputs=example_inputs,
+            coreml_compile_specs=coreml_compile_specs,
+            model_name=args.model_name,
+            working_dir_path=working_dir_path,
+        )
+
+        print(
+            tabulate(comparison_result.to_dataframe(), headers="keys", tablefmt="grid")
+        )
+
+
+if __name__ == "__main__":
+    main()  # pragma: no cover
diff --git a/examples/apple/coreml/scripts/export.py b/examples/apple/coreml/scripts/export.py
index 4bf26a7f3e..e906c0704c 100644
--- a/examples/apple/coreml/scripts/export.py
+++ b/examples/apple/coreml/scripts/export.py
@@ -17,10 +17,10 @@
 from executorch.backends.apple.coreml.compiler import CoreMLBackend
 
 from executorch.backends.apple.coreml.partition import CoreMLPartitioner
+from executorch.devtools.etrecord import generate_etrecord
 from executorch.exir import to_edge
 
 from executorch.exir.backend.backend_api import to_backend
-from executorch.sdk.etrecord import generate_etrecord
 from torch.export import export
 
 REPO_ROOT = pathlib.Path(__file__).resolve().parent.parent.parent.parent.parent
@@ -104,11 +104,7 @@ def export_lowered_module_to_executorch_program(lowered_module, example_inputs):
     lowered_module(*example_inputs)
     exec_prog = to_edge(
         export(lowered_module, example_inputs), compile_config=_EDGE_COMPILE_CONFIG
-    ).to_executorch(
-        config=exir.ExecutorchBackendConfig(
-            extract_constant_segment=False, extract_delegate_segments=True
-        )
-    )
+    ).to_executorch(config=exir.ExecutorchBackendConfig(extract_delegate_segments=True))
 
     return exec_prog
 
@@ -178,9 +174,7 @@ def generate_compile_specs_from_args(args):
         )
         delegated_program_manager = edge_program_manager.to_backend(partitioner)
         exec_program = delegated_program_manager.to_executorch(
-            config=exir.ExecutorchBackendConfig(
-                extract_constant_segment=False, extract_delegate_segments=True
-            )
+            config=exir.ExecutorchBackendConfig(extract_delegate_segments=True)
         )
     else:
         lowered_module, edge_copy = lower_module_to_coreml(
diff --git a/examples/apple/coreml/scripts/extract_coreml_models.py b/examples/apple/coreml/scripts/extract_coreml_models.py
index 6317b0f3d3..d2812d37ab 100644
--- a/examples/apple/coreml/scripts/extract_coreml_models.py
+++ b/examples/apple/coreml/scripts/extract_coreml_models.py
@@ -57,7 +57,7 @@ def extract_coreml_models(pte_data: bytes):
         model_index += 1
 
     if len(coreml_delegates) == 0:
-        print("The model isn't delegated to CoreML.")
+        print("The model isn't delegated to Core ML.")
 
 
 if __name__ == "__main__":
diff --git a/examples/apple/coreml/scripts/inspector_cli.py b/examples/apple/coreml/scripts/inspector_cli.py
index 077c8c26ef..c63d4791fc 100644
--- a/examples/apple/coreml/scripts/inspector_cli.py
+++ b/examples/apple/coreml/scripts/inspector_cli.py
@@ -1,43 +1,24 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
+# Copyright © 2024 Apple Inc. All rights reserved.
 #
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
+# Please refer to the license found in the LICENSE file in the root directory of the source tree.
 
 import argparse
-import json
 
-from typing import Any, Dict, Final, List, Tuple, Union
+import sys
 
-from executorch.sdk import Inspector
-from executorch.sdk.inspector._inspector_utils import compare_results
+from pathlib import Path
 
-COREML_METADATA_KEYS: Final[List[Tuple[str, str]]] = [
-    ("operatorName", "coreml_operator"),
-    ("estimatedCost", "coreml_estimated_cost"),
-    ("preferredComputeUnit", "coreml_preferred_device"),
-    ("supportedComputeUnits", "coreml_supported_devices"),
-]
+from executorch.devtools import Inspector
+from executorch.devtools.inspector import compare_results
 
 
-def parse_coreml_delegate_metadata(delegate_metadatas: List[str]) -> Dict[str, Any]:
-    try:
-        coreml_metadata: Dict[str, Any] = json.loads(delegate_metadatas[0])
-        result: Dict[str, str] = {}
-        for col_key, col_name in COREML_METADATA_KEYS:
-            value = coreml_metadata.get(col_key, None)
-            if value is not None:
-                result[col_name] = value
-        return result
+def get_root_dir_path() -> Path:
+    return Path().resolve().parent.parent.parent.parent
 
-    except ValueError:
-        return {}
 
+sys.path.append(str((get_root_dir_path() / "examples").resolve()))
 
-def convert_coreml_delegate_time(
-    event_name: Union[str, int], input_time: Union[int, float]
-) -> Union[int, float]:
-    return input_time / (1000 * 1000)
+from inspector_utils import convert_coreml_delegate_time, parse_coreml_delegate_metadata
 
 
 def main() -> None:
@@ -55,7 +36,7 @@ def main() -> None:
     parser.add_argument(
         "--debug_buffer_path",
         required=False,
-        help="Provide an optional buffer file path.",
+        help="Provide an optional debug buffer file path.",
     )
     parser.add_argument("--compare_results", action="store_true")
 
diff --git a/examples/apple/coreml/scripts/inspector_utils.py b/examples/apple/coreml/scripts/inspector_utils.py
new file mode 100644
index 0000000000..08af6fb348
--- /dev/null
+++ b/examples/apple/coreml/scripts/inspector_utils.py
@@ -0,0 +1,428 @@
+# Copyright © 2024 Apple Inc. All rights reserved.
+#
+# Please refer to the license found in the LICENSE file in the root directory of the source tree.
+
+import copy
+import errno
+import json
+import os
+
+import subprocess
+from dataclasses import dataclass
+from pathlib import Path
+
+from typing import Any, Dict, Final, List, Optional, Tuple, Union
+
+import executorch.exir as exir
+
+import pandas as pd
+import torch
+from executorch.backends.apple.coreml.compiler import CoreMLBackend
+from executorch.backends.apple.coreml.partition import CoreMLPartitioner
+
+from executorch.devtools import BundledProgram, generate_etrecord, Inspector
+from executorch.devtools.bundled_program.config import MethodTestCase, MethodTestSuite
+from executorch.devtools.bundled_program.serialize import (
+    serialize_from_bundled_program_to_flatbuffer,
+)
+from executorch.devtools.inspector import Event
+
+from executorch.exir import (
+    EdgeProgramManager,
+    ExecutorchBackendConfig,
+    ExecutorchProgramManager,
+    ExirExportedProgram,
+    to_edge,
+)
+from executorch.exir.backend.compile_spec_schema import CompileSpec
+from executorch.exir.tracer import Value
+
+from torch.export import export, ExportedProgram
+
+COREML_METADATA_KEYS: Final[List[Tuple[str, str]]] = [
+    ("operatorName", "coreml_operator"),
+    ("estimatedCost", "coreml_estimated_cost"),
+    ("preferredComputeUnit", "coreml_preferred_device"),
+    ("supportedComputeUnits", "coreml_supported_devices"),
+]
+
+
+def build_devtools_runner_including_coreml(
+    root_dir_path: Path,
+    conda_env_name: str,
+    force: bool = False,
+):
+    if not force:
+        devtools_executable_path = (
+            root_dir_path / "cmake-out" / "examples" / "devtools" / "example_runner"
+        )
+        print(devtools_executable_path)
+        if devtools_executable_path.is_file():
+            return
+
+    cd_root_command: str = f"cd {root_dir_path.resolve()}"
+    conda_activate_env_command: str = f"source conda activate {conda_env_name}"
+    build_devtools_runner_command: str = (
+        "./examples/devtools/build_example_runner.sh --coreml"
+    )
+    build_command: str = (
+        f"{cd_root_command} && {conda_activate_env_command} && {build_devtools_runner_command}"
+    )
+    subprocess.run(
+        f'bash -c "{build_command}"', shell=True, check=True
+    ).check_returncode()
+
+
+_EDGE_COMPILE_CONFIG = exir.EdgeCompileConfig(
+    _check_ir_validity=False,
+    _skip_dim_order=True,
+)
+
+_EDGE_BACKEND_CONFIG = exir.ExecutorchBackendConfig(
+    extract_delegate_segments=True,
+)
+
+
+def to_core_aten(
+    module: torch.nn.Module,
+    example_inputs: Tuple[Value, ...],
+) -> ExportedProgram:
+    core_aten_program = export(
+        mod=module,
+        args=example_inputs,
+    )
+    return core_aten_program
+
+
+def core_aten_to_edge(
+    core_aten_program: ExportedProgram,
+    edge_compile_config: exir.EdgeCompileConfig,
+) -> EdgeProgramManager:
+    edge_manager = to_edge(
+        programs=core_aten_program,
+        compile_config=edge_compile_config,
+    )
+    return edge_manager
+
+
+def module_to_edge(
+    module: torch.nn.Module,
+    example_inputs: Tuple[Value, ...],
+    edge_compile_config: exir.EdgeCompileConfig = _EDGE_COMPILE_CONFIG,
+) -> EdgeProgramManager:
+    module.eval()
+    core_aten_program = to_core_aten(
+        module=module,
+        example_inputs=example_inputs,
+    )
+    return core_aten_to_edge(
+        core_aten_program=core_aten_program,
+        edge_compile_config=edge_compile_config,
+    )
+
+
+def lower_and_export_edge_to_coreml(
+    edge_program: EdgeProgramManager,
+    compile_specs: List[CompileSpec],
+    config: ExecutorchBackendConfig,
+    skip_ops_for_coreml_delegation: Optional[List[str]] = None,
+) -> ExirExportedProgram:
+    partitioner = CoreMLPartitioner(
+        skip_ops_for_coreml_delegation=skip_ops_for_coreml_delegation,
+        compile_specs=compile_specs,
+    )
+    delegated_program_manager = edge_program.to_backend(
+        partitioner,
+    )
+    executorch_program = delegated_program_manager.to_executorch(
+        config=config,
+    )
+    return executorch_program
+
+
+def write_to_file(buffer: bytes, file_path: Path):
+    with open(file_path.resolve(), "wb") as file:
+        file.write(buffer)
+
+
+def generate_bundled_program(
+    executorch_program: ExecutorchProgramManager,
+    example_inputs: Tuple[Value, ...],
+    method_name: str,
+    bundled_program_path: Path,
+):
+    method_test_suites = [
+        MethodTestSuite(
+            method_name=method_name,
+            test_cases=[MethodTestCase(inputs=example_inputs)],
+        )
+    ]
+
+    bundled_program = BundledProgram(executorch_program, method_test_suites)
+    bundled_program_buffer = serialize_from_bundled_program_to_flatbuffer(
+        bundled_program
+    )
+
+    write_to_file(buffer=bundled_program_buffer, file_path=bundled_program_path)
+
+
+def generate_etdump_with_intermediate_values(
+    root_dir_path: Path,
+    bundled_program_path: Path,
+    et_dump_path: Path,
+    debug_buffer_path: Path,
+    debug_buffer_size: int,
+):
+    devtools_executable_path = (
+        root_dir_path / "cmake-out" / "examples" / "devtools" / "example_runner"
+    )
+    if not devtools_executable_path.is_file():
+        raise FileNotFoundError(
+            errno.ENOENT,
+            os.strerror(errno.ENOENT),
+            str(devtools_executable_path.resolve()),
+        )
+
+    devtools_runner_command: str = f"""
+    {devtools_executable_path.resolve()} -dump_intermediate_outputs\
+    -bundled_program_path {bundled_program_path.resolve()}\
+    -etdump_path {et_dump_path.resolve()}\
+    -debug_output_path {debug_buffer_path.resolve()}\
+    -debug_buffer_size {debug_buffer_size}"""
+    subprocess.run(
+        f'bash -c "{devtools_runner_command}"', shell=True, check=True
+    ).check_returncode()
+
+
+def create_inspector(
+    edge_program: EdgeProgramManager,
+    executorch_program: ExecutorchProgramManager,
+    example_inputs: Tuple[Value, ...],
+    model_name: str,
+    root_dir_path: Path,
+    working_dir_path: Path,
+    method_name: str = "forward",
+    debug_buffer_size: int = 1 * 1024 * 1024 * 1024,
+    delegate_metadata_parser=None,
+    delegate_time_scale_converter=None,
+) -> Inspector:
+    et_record_path = working_dir_path / f"{model_name}_etrecord.bin"
+    generate_etrecord(
+        et_record=et_record_path.resolve(),
+        edge_dialect_program=edge_program,
+        executorch_program=executorch_program,
+    )
+
+    bundled_program_path = working_dir_path / f"{model_name}.bpte"
+    generate_bundled_program(
+        executorch_program=executorch_program,
+        example_inputs=example_inputs,
+        method_name=method_name,
+        bundled_program_path=bundled_program_path,
+    )
+
+    et_dump_path: Path = working_dir_path / f"{model_name}_etdump.etdp"
+    debug_buffer_path: Path = working_dir_path / f"{model_name}_debug_output.bin"
+    generate_etdump_with_intermediate_values(
+        root_dir_path=root_dir_path,
+        bundled_program_path=bundled_program_path,
+        et_dump_path=et_dump_path,
+        debug_buffer_path=debug_buffer_path,
+        debug_buffer_size=debug_buffer_size,
+    )
+
+    return Inspector(
+        etdump_path=str(et_dump_path.resolve()),
+        etrecord=str(et_record_path.resolve()),
+        debug_buffer_path=str(debug_buffer_path.resolve()),
+        enable_module_hierarchy=True,
+        delegate_metadata_parser=delegate_metadata_parser,
+        delegate_time_scale_converter=delegate_time_scale_converter,
+    )
+
+
+def parse_coreml_delegate_metadata(delegate_metadatas: List[str]) -> Dict[str, Any]:
+    if len(delegate_metadatas) == 0:
+        return
+    try:
+        coreml_metadata: Dict[str, Any] = json.loads(delegate_metadatas[0])
+        result: Dict[str, str] = {}
+        for col_key, col_name in COREML_METADATA_KEYS:
+            value = coreml_metadata.get(col_key, None)
+            if value is not None:
+                result[col_name] = value
+        return result
+
+    except ValueError:
+        return {}
+
+
+def convert_coreml_delegate_time(
+    event_name: Union[str, int], input_time: Union[int, float]
+) -> Union[int, float]:
+    return input_time / (1000 * 1000)
+
+
+def create_inspector_coreml(
+    edge_program: EdgeProgramManager,
+    compile_specs: List[CompileSpec],
+    example_inputs: Tuple[Value, ...],
+    model_name: str,
+    root_dir_path: Path,
+    working_dir_path: Path,
+    method_name: str = "forward",
+    debug_buffer_size: int = 1 * 1024 * 1024 * 1024,
+) -> Inspector:
+    edge_program_copy = copy.deepcopy(edge_program)
+    executorch_program = lower_and_export_edge_to_coreml(
+        edge_program=edge_program_copy,
+        compile_specs=compile_specs,
+        config=_EDGE_BACKEND_CONFIG,
+    )
+    return create_inspector(
+        edge_program=edge_program,
+        executorch_program=executorch_program,
+        example_inputs=example_inputs,
+        root_dir_path=root_dir_path,
+        model_name=f"{model_name}_coreml",
+        working_dir_path=working_dir_path,
+        method_name=method_name,
+        debug_buffer_size=debug_buffer_size,
+        delegate_metadata_parser=parse_coreml_delegate_metadata,
+        delegate_time_scale_converter=convert_coreml_delegate_time,
+    )
+
+
+def create_inspector_reference(
+    edge_program: EdgeProgramManager,
+    example_inputs: Tuple[Value, ...],
+    model_name: str,
+    root_dir_path: Path,
+    working_dir_path: Path,
+    method_name: str = "forward",
+    debug_buffer_size: int = 1 * 1024 * 1024 * 1024,
+) -> Inspector:
+    edge_program_copy = copy.deepcopy(edge_program)
+    return create_inspector(
+        edge_program=edge_program,
+        executorch_program=edge_program_copy.to_executorch(),
+        example_inputs=example_inputs,
+        root_dir_path=root_dir_path,
+        model_name=f"{model_name}_default",
+        working_dir_path=working_dir_path,
+        method_name=method_name,
+        debug_buffer_size=debug_buffer_size,
+    )
+
+
+def get_debug_handle_to_event_map(
+    inspector: Inspector,
+    event_block_name: str = "Execute",
+) -> Dict[int, Event]:
+    result = {}
+
+    def is_not_blank(s):
+        return bool(s and not s.isspace())
+
+    event_names_to_ignore = {"DELEGATE_CALL", "OPERATOR_CALL"}
+    for event_block in inspector.event_blocks:
+        if event_block.name == event_block_name:
+            for event in event_block.events:
+                if is_not_blank(event.name) and event.name not in event_names_to_ignore:
+                    debug_handles = []
+                    if isinstance(event.debug_handles, int):
+                        debug_handles.append(event.debug_handles)
+                    elif isinstance(event.debug_handles, list):
+                        debug_handles.extend(event.debug_handles)
+                    debug_handles.sort()
+                    for debug_handle in debug_handles:
+                        if len(event.debug_data) > 0:
+                            result[debug_handle] = event
+    return result
+
+
+@dataclass
+class EventData:
+    tag: str
+    event: Event
+
+
+@dataclass
+class ComparisonResult:
+    datas: List[tuple[EventData, EventData]]
+
+    def to_dataframe(
+        self,
+        atol: float = 1e-3,
+        rtol: float = 1e-3,
+    ) -> pd.DataFrame:
+        def get_compute_device(event: Event) -> str:
+            if event.delegate_backend_name == CoreMLBackend.__name__:
+                return event.delegate_debug_metadatas.get(
+                    "coreml_preferred_device", "CPU"
+                )
+
+            return "CPU"
+
+        if len(self.datas) == 0:
+            return
+
+        (data1, data2) = self.datas[0]
+        dict = {
+            data1.tag: [],
+            f"{data1.tag}_compute_unit": [],
+            data2.tag: [],
+            f"{data2.tag}_compute_unit": [],
+            "max_diff": [],
+        }
+
+        for data1, data2 in self.datas:
+            event1 = data1.event
+            event2 = data2.event
+            debug_data1 = event1.debug_data[0]
+            debug_data2 = event2.debug_data[0]
+
+            if debug_data1.size() != debug_data2.size():
+                continue
+
+            max_diff = 0.0
+            indices = torch.isclose(
+                debug_data1, debug_data2, atol=atol, rtol=rtol
+            ).logical_not()
+
+            # Find the maximum difference
+            if torch.count_nonzero(indices) > 0:
+                values1 = torch.masked_select(debug_data1, indices)
+                values2 = torch.masked_select(debug_data2, indices)
+                diff = torch.abs(values1 - values2)
+                max_diff = torch.max(diff).item()
+
+            dict[f"{data1.tag}_compute_unit"].append(get_compute_device(event1))
+            dict[f"{data2.tag}_compute_unit"].append(get_compute_device(event2))
+            dict["max_diff"].append(max_diff)
+            dict[data1.tag].append(event1.name)
+            dict[data2.tag].append(event2.name)
+
+        return pd.DataFrame(dict)
+
+
+def get_comparison_result(
+    inspector1: Inspector,
+    tag1: str,
+    inspector2: Inspector,
+    tag2: str,
+) -> ComparisonResult:
+    debug_handle_event_map_1 = get_debug_handle_to_event_map(inspector1)
+    debug_handle_event_map_2 = get_debug_handle_to_event_map(inspector2)
+
+    event_datas = []
+    for handle, event1 in debug_handle_event_map_1.items():
+        event2 = debug_handle_event_map_2.get(handle, None)
+        if event2 is None:
+            continue
+
+        event_data1 = EventData(tag=tag1, event=event1)
+        event_data2 = EventData(tag=tag2, event=event2)
+        event_datas.append((event_data1, event_data2))
+
+    return ComparisonResult(datas=event_datas)
diff --git a/examples/apple/mps/CMakeLists.txt b/examples/apple/mps/CMakeLists.txt
index 9ae528668c..319d8159ce 100644
--- a/examples/apple/mps/CMakeLists.txt
+++ b/examples/apple/mps/CMakeLists.txt
@@ -92,8 +92,8 @@ if(NOT CMAKE_TOOLCHAIN_FILE MATCHES ".*(iOS|ios\.toolchain)\.cmake$")
   include(${EXECUTORCH_SRCS_FILE})
   target_include_directories(
     bundled_program
-    INTERFACE ${CMAKE_CURRENT_BINARY_DIR}/../../../sdk/include
-              ${CMAKE_CURRENT_BINARY_DIR}/../../../sdk/bundled_program
+    INTERFACE ${CMAKE_CURRENT_BINARY_DIR}/../../../devtools/include
+              ${CMAKE_CURRENT_BINARY_DIR}/../../../devtools/bundled_program
               ${EXECUTORCH_ROOT}/third-party/flatbuffers/include
               ${EXECUTORCH_ROOT}/third-party/flatcc/include
               ${_mps_schema_headers}
@@ -107,6 +107,10 @@ if(NOT CMAKE_TOOLCHAIN_FILE MATCHES ".*(iOS|ios\.toolchain)\.cmake$")
     set(FLATCC_LIB flatccrt)
   endif()
 
+  if(CMAKE_BUILD_TYPE MATCHES "Debug")
+    target_link_options(mps_executor_runner PUBLIC -fsanitize=undefined)
+  endif()
+
   target_link_libraries(
     mps_executor_runner
     bundled_program
diff --git a/examples/apple/mps/README.md b/examples/apple/mps/README.md
index bebd1329be..dc01d585f8 100644
--- a/examples/apple/mps/README.md
+++ b/examples/apple/mps/README.md
@@ -30,7 +30,7 @@ Once we have the model binary file, then let's run it with the ExecuTorch runtim
 # Build and install executorch
 cmake -DCMAKE_INSTALL_PREFIX=cmake-out \
           -DCMAKE_BUILD_TYPE=Release \
-          -DEXECUTORCH_BUILD_SDK=ON \
+          -DEXECUTORCH_BUILD_DEVTOOLS=ON \
           -DEXECUTORCH_ENABLE_EVENT_TRACER=ON \
           -DEXECUTORCH_BUILD_MPS=ON \
           -DPYTHON_EXECUTABLE="$PYTHON_EXECUTABLE" \
diff --git a/examples/apple/mps/executor_runner/mps_executor_runner.mm b/examples/apple/mps/executor_runner/mps_executor_runner.mm
index 604419a620..e3d0e2978b 100644
--- a/examples/apple/mps/executor_runner/mps_executor_runner.mm
+++ b/examples/apple/mps/executor_runner/mps_executor_runner.mm
@@ -30,8 +30,8 @@
 #include <executorch/runtime/platform/profiler.h>
 #include <executorch/runtime/platform/runtime.h>
 #include <executorch/runtime/platform/runtime.h>
-#include <executorch/sdk/bundled_program/bundled_program.h>
-#include <executorch/sdk/etdump/etdump_flatcc.h>
+#include <executorch/devtools/bundled_program/bundled_program.h>
+#include <executorch/devtools/etdump/etdump_flatcc.h>
 
 #include <chrono>
 using namespace std::chrono;
@@ -97,8 +97,26 @@
     262144, // 256 KB
     "Size of the debug buffer in bytes to allocate for intermediate outputs and program outputs logging.");
 
-using namespace torch::executor;
-using torch::executor::util::FileDataLoader;
+using executorch::etdump::ETDumpGen;
+using executorch::etdump::ETDumpResult;
+using executorch::extension::BufferCleanup;
+using executorch::extension::BufferDataLoader;
+using executorch::extension::FileDataLoader;
+using executorch::runtime::DataLoader;
+using executorch::runtime::EValue;
+using executorch::runtime::Error;
+using executorch::runtime::EventTracerDebugLogLevel;
+using executorch::runtime::FreeableBuffer;
+using executorch::runtime::HierarchicalAllocator;
+using executorch::runtime::MemoryAllocator;
+using executorch::runtime::MemoryManager;
+using executorch::runtime::Method;
+using executorch::runtime::MethodMeta;
+using executorch::runtime::Program;
+using executorch::runtime::Result;
+using executorch::runtime::Span;
+
+namespace bundled_program = executorch::bundled_program;
 
 int main(int argc, char** argv) {
   {
@@ -113,7 +131,7 @@ int main(int argc, char** argv) {
     return 1;
   }
 
-  runtime_init();
+  executorch::runtime::runtime_init();
 
   gflags::ParseCommandLineFlags(&argc, &argv, true);
   if (argc != 1) {
@@ -144,20 +162,20 @@ int main(int argc, char** argv) {
   // Find the offset to the embedded Program.
   const void* program_data;
   size_t program_data_len;
-  Error status = torch::executor::bundled_program::GetProgramData(
+  Error status = bundled_program::get_program_data(
       const_cast<void*>(file_data->data()),
       file_data->size(),
       &program_data,
       &program_data_len);
   ET_CHECK_MSG(
       status == Error::Ok,
-      "GetProgramData() failed on file '%s': 0x%x",
+      "get_program_data() failed on file '%s': 0x%x",
       model_path,
       (unsigned int)status);
 
   // Wrap the buffer in a DataLoader.
   auto buffer_data_loader =
-      util::BufferDataLoader(program_data, program_data_len);
+      BufferDataLoader(program_data, program_data_len);
 
   // Parse the program file. This is immutable, and can also be reused between
   // multiple execution invocations across multiple threads.
@@ -239,7 +257,7 @@ HierarchicalAllocator planned_memory(
   // be used by a single thread at at time, but it can be reused.
   //
 
-  torch::executor::ETDumpGen etdump_gen = torch::executor::ETDumpGen();
+  ETDumpGen etdump_gen;
   Result<Method> method =
       program->load_method(method_name, &memory_manager, &etdump_gen);
   ET_CHECK_MSG(
@@ -263,11 +281,11 @@ HierarchicalAllocator planned_memory(
   }
 
   // Prepare the inputs.
-  std::unique_ptr<util::BufferCleanup> inputs;
+  std::unique_ptr<BufferCleanup> inputs;
   if (FLAGS_bundled_program) {
     ET_LOG(Info, "Loading bundled program...");
     // Use the inputs embedded in the bundled program.
-    status = torch::executor::bundled_program::LoadBundledInput(
+    status = bundled_program::load_bundled_input(
         *method,
         file_data->data(),
         FLAGS_testset_idx);
@@ -278,11 +296,11 @@ HierarchicalAllocator planned_memory(
   } else {
     ET_LOG(Info, "Loading non-bundled program...\n");
     // Use ones-initialized inputs.
-    auto inputs_result = torch::executor::util::prepare_input_tensors(*method);
+    auto inputs_result = executorch::extension::prepare_input_tensors(*method);
     if (inputs_result.ok()) {
       // Will free the inputs when destroyed.
       inputs =
-          std::make_unique<util::BufferCleanup>(std::move(inputs_result.get()));
+          std::make_unique<BufferCleanup>(std::move(inputs_result.get()));
     }
   }
   ET_LOG(Info, "Inputs prepared.");
@@ -322,14 +340,14 @@ HierarchicalAllocator planned_memory(
   status = method->get_outputs(outputs.data(), outputs.size());
   ET_CHECK(status == Error::Ok);
   // Print the first and last 100 elements of long lists of scalars.
-  std::cout << torch::executor::util::evalue_edge_items(100);
+  std::cout << executorch::extension::evalue_edge_items(100);
   for (int i = 0; i < outputs.size(); ++i) {
     std::cout << "Output " << i << ": " << outputs[i] << std::endl;
   }
 
   // Dump the etdump data containing profiling/debugging data to the specified
   // file.
-  etdump_result result = etdump_gen.get_etdump_data();
+  ETDumpResult result = etdump_gen.get_etdump_data();
   if (result.buf != nullptr && result.size > 0) {
     FILE* f = fopen(FLAGS_etdump_path.c_str(), "w+");
     fwrite((uint8_t*)result.buf, 1, result.size, f);
@@ -362,7 +380,7 @@ HierarchicalAllocator planned_memory(
       atol = 1e-01;
       rtol = 1e-01;
     }
-    status = torch::executor::bundled_program::VerifyResultWithBundledExpectedOutput(
+    status = bundled_program::verify_method_outputs(
         *method,
         file_data->data(),
         FLAGS_testset_idx,
diff --git a/examples/apple/mps/executor_runner/targets.bzl b/examples/apple/mps/executor_runner/targets.bzl
index fd0a7a5046..14399411ae 100644
--- a/examples/apple/mps/executor_runner/targets.bzl
+++ b/examples/apple/mps/executor_runner/targets.bzl
@@ -28,9 +28,9 @@ def define_common_targets():
                 "//executorch/extension/data_loader:file_data_loader",
                 "//executorch/kernels/portable:generated_lib",
                 "//executorch/extension/data_loader:file_data_loader",
-                "//executorch/sdk/etdump:etdump_flatcc",
+                "//executorch/devtools/etdump:etdump_flatcc",
                 "//executorch/extension/data_loader:buffer_data_loader",
-                "//executorch/sdk/bundled_program:runtime",
+                "//executorch/devtools/bundled_program:runtime",
             ],
             external_deps = [
                 "gflags",
diff --git a/examples/apple/mps/scripts/bench_utils.py b/examples/apple/mps/scripts/bench_utils.py
index 792e3b6d82..7eca984f82 100644
--- a/examples/apple/mps/scripts/bench_utils.py
+++ b/examples/apple/mps/scripts/bench_utils.py
@@ -5,36 +5,13 @@
 
 import logging
 import time
+from typing import Tuple
 
 import torch
+from executorch.backends.apple.mps.test.test_mps_utils import TestMPS
 from torch.export.exported_program import ExportedProgram
 
 
-def assert_outputs_equal(model_output, ref_output):
-    """
-    Helper testing function that asserts that the model output and the reference output
-    are equal with some tolerance. Due to numerical differences between eager mode and
-    the MPS's backend, we relax the detal such that absolute tolerance is 1e-3. and
-    relative tolerance is 1e-3.
-    """
-
-    # Compare the result from executor and eager mode direclty
-    if isinstance(ref_output, tuple) or isinstance(ref_output, list):
-        # Multiple outputs executor always returns tuple, even if there is one output
-        assert len(ref_output) == len(
-            model_output
-        ), "Length of outputs is not matching!"
-        for i in range(len(ref_output)):
-            assert torch.allclose(
-                model_output[i], ref_output[i], atol=1e-03, rtol=1e-03
-            )
-    else:
-        # If one output, eager returns tensor while executor tuple of size 1
-        assert torch.allclose(
-            model_output[0], ref_output, atol=1e-03, rtol=1e-03
-        ), "Outputs are not matching!"
-
-
 def bench_forward(func, *args):
     # warmup
     for _ in range(10):
@@ -101,17 +78,31 @@ def bench_torch(executorch_program: ExportedProgram, model, inputs, model_name):
         )
 
 
-def compare_outputs(executorch_program: ExportedProgram, model, inputs, model_name):
+def compare_outputs(
+    executorch_program: ExportedProgram,
+    model: torch.nn.Module,
+    inputs: Tuple[torch.tensor],
+    model_name: str,
+    use_fp16: bool,
+):
+    test_module = TestMPS()
     inputs_copy = []
+    if use_fp16:
+        model = model.to(torch.float16)
+    model = model
     for t in inputs:
-        inputs_copy.append(t.detach().clone())
+        tensor = t.detach().clone()
+        if use_fp16 and tensor.dtype == torch.float32:
+            tensor = tensor.to(torch.float16)
+        inputs_copy.append(tensor)
     inputs_copy = tuple(inputs_copy)
 
-    pytorch_results = model(*inputs)
+    pytorch_results = model(*inputs_copy)
+
     executorch_model = get_executorch_model(executorch_program)
     if executorch_model is not None:
-        executorch_results = executorch_model.forward(inputs_copy)
-        assert_outputs_equal(executorch_results, pytorch_results)
+        executorch_results = executorch_model.forward(inputs)
+        test_module.assert_outputs_equal(executorch_results, pytorch_results, use_fp16)
         logging.info(
             f"Results between ExecuTorch forward pass with MPS backend and PyTorch forward pass for {model_name} are matching!"
         )
diff --git a/examples/apple/mps/scripts/build_mps_executor_runner.sh b/examples/apple/mps/scripts/build_mps_executor_runner.sh
index 16754588b6..31ab54fd4d 100755
--- a/examples/apple/mps/scripts/build_mps_executor_runner.sh
+++ b/examples/apple/mps/scripts/build_mps_executor_runner.sh
@@ -41,7 +41,7 @@ rm -rf "$OUTPUT"
 cmake -DBUCK2="$BUCK" \
           -DCMAKE_INSTALL_PREFIX=cmake-out \
           -DCMAKE_BUILD_TYPE="$MODE" \
-          -DEXECUTORCH_BUILD_SDK=ON \
+          -DEXECUTORCH_BUILD_DEVTOOLS=ON \
           -DEXECUTORCH_ENABLE_EVENT_TRACER=ON \
           -DEXECUTORCH_BUILD_MPS=ON \
           -DPYTHON_EXECUTABLE="$PYTHON_EXECUTABLE" \
diff --git a/examples/apple/mps/scripts/mps_example.py b/examples/apple/mps/scripts/mps_example.py
index 293c6f1404..d6416e0ffc 100644
--- a/examples/apple/mps/scripts/mps_example.py
+++ b/examples/apple/mps/scripts/mps_example.py
@@ -14,6 +14,11 @@
 from executorch import exir
 from executorch.backends.apple.mps import MPSBackend
 from executorch.backends.apple.mps.partition import MPSPartitioner
+from executorch.devtools import BundledProgram, generate_etrecord
+from executorch.devtools.bundled_program.config import MethodTestCase, MethodTestSuite
+from executorch.devtools.bundled_program.serialize import (
+    serialize_from_bundled_program_to_flatbuffer,
+)
 
 from executorch.exir import (
     EdgeCompileConfig,
@@ -24,11 +29,6 @@
 from executorch.exir.backend.backend_details import CompileSpec
 from executorch.exir.capture._config import ExecutorchBackendConfig
 from executorch.extension.export_util.utils import export_to_edge, save_pte_program
-from executorch.sdk import BundledProgram, generate_etrecord
-from executorch.sdk.bundled_program.config import MethodTestCase, MethodTestSuite
-from executorch.sdk.bundled_program.serialize import (
-    serialize_from_bundled_program_to_flatbuffer,
-)
 
 from ....models import MODEL_NAME_TO_MODEL
 from ....models.model_factory import EagerModelFactory
@@ -155,6 +155,8 @@ def get_model_config(args):
     model, example_inputs, _ = EagerModelFactory.create_model(**model_config)
 
     model = model.eval()
+
+    # Deep copy the model inputs to check against PyTorch forward pass
     if args.check_correctness or args.bench_pytorch:
         model_copy = copy.deepcopy(model)
         inputs_copy = []
@@ -181,9 +183,7 @@ def get_model_config(args):
         logging.info(f"Lowered graph:\n{edge.exported_program().graph}")
 
         executorch_program = edge.to_executorch(
-            config=ExecutorchBackendConfig(
-                extract_delegate_segments=False, extract_constant_segment=False
-            )
+            config=ExecutorchBackendConfig(extract_delegate_segments=False)
         )
     else:
         lowered_module = to_backend(
@@ -193,11 +193,7 @@ def get_model_config(args):
             lowered_module,
             example_inputs,
             edge_compile_config=exir.EdgeCompileConfig(_check_ir_validity=False),
-        ).to_executorch(
-            config=ExecutorchBackendConfig(
-                extract_delegate_segments=False, extract_constant_segment=False
-            )
-        )
+        ).to_executorch(config=ExecutorchBackendConfig(extract_delegate_segments=False))
 
     model_name = f"{args.model_name}_mps"
 
@@ -228,4 +224,6 @@ def get_model_config(args):
         bench_torch(executorch_program, model_copy, example_inputs, model_name)
 
     if args.check_correctness:
-        compare_outputs(executorch_program, model_copy, inputs_copy, model_name)
+        compare_outputs(
+            executorch_program, model_copy, inputs_copy, model_name, args.use_fp16
+        )
diff --git a/examples/apple/mps/test_mps.sh b/examples/apple/mps/test_mps.sh
index 55712089e0..555161dd3f 100755
--- a/examples/apple/mps/test_mps.sh
+++ b/examples/apple/mps/test_mps.sh
@@ -11,14 +11,14 @@ set -e
 
 # shellcheck source=/dev/null
 source "$(dirname "${BASH_SOURCE[0]}")/../../../.ci/scripts/utils.sh"
-cmake_install_executorch_sdk_lib() {
+cmake_install_executorch_devtools_lib() {
   echo "Installing libexecutorch.a, libportable_kernels.a, libetdump.a, libbundled_program.a"
   rm -rf cmake-out
 
   retry cmake -DBUCK2="$BUCK" \
           -DCMAKE_INSTALL_PREFIX=cmake-out \
           -DCMAKE_BUILD_TYPE=Release \
-          -DEXECUTORCH_BUILD_SDK=ON \
+          -DEXECUTORCH_BUILD_DEVTOOLS=ON \
           -DEXECUTORCH_BUILD_MPS=ON \
           -DEXECUTORCH_ENABLE_EVENT_TRACER=ON \
           -DPYTHON_EXECUTABLE="$PYTHON_EXECUTABLE" \
@@ -60,5 +60,5 @@ then
 fi
 
 
-cmake_install_executorch_sdk_lib
+cmake_install_executorch_devtools_lib
 test_cmake_mps
diff --git a/examples/arm/aot_arm_compiler.py b/examples/arm/aot_arm_compiler.py
index f854a081fa..4d77e81908 100644
--- a/examples/arm/aot_arm_compiler.py
+++ b/examples/arm/aot_arm_compiler.py
@@ -226,9 +226,7 @@ def forward(self, x):
 
     try:
         exec_prog = edge.to_executorch(
-            config=ExecutorchBackendConfig(
-                extract_delegate_segments=False, extract_constant_segment=False
-            )
+            config=ExecutorchBackendConfig(extract_delegate_segments=False)
         )
     except RuntimeError as e:
         if "Missing out variants" in str(e.args[0]):
diff --git a/examples/arm/executor_runner/CMakeLists.txt b/examples/arm/executor_runner/CMakeLists.txt
index 1f42eda9fb..68c5435dff 100644
--- a/examples/arm/executor_runner/CMakeLists.txt
+++ b/examples/arm/executor_runner/CMakeLists.txt
@@ -9,25 +9,38 @@ project(arm_executor_runner)
 option(SEMIHOSTING "Enable semihosting" OFF)
 
 if(NOT DEFINED ET_PTE_FILE_PATH AND NOT ${SEMIHOSTING})
-  message(FATAL_ERROR
-    "ET_PTE_FILE_PATH must specify a model .pte, for bare metal systems the "
-    "model is built into the binary.")
+  message(
+    FATAL_ERROR
+      "ET_PTE_FILE_PATH must specify a model .pte, for bare metal systems the "
+      "model is built into the binary."
+  )
 endif()
 
 # Example ExecuTorch demo for bare metal Cortex-M based systems
-set(ET_DIR_PATH "../../.." CACHE PATH
-  "Path to ExecuTorch dir")
-set(ET_BUILD_DIR_PATH "${ET_DIR_PATH}/cmake-out" CACHE PATH
-  "Path to ExecuTorch build dir")
-set(ET_INCLUDE_PATH "${ET_DIR_PATH}/.." CACHE PATH
-  "Path to ExecuTorch headers")
-set(ET_PTE_FILE_PATH "" CACHE PATH
-  "Path to ExecuTorch model pte")
-set(ETHOS_SDK_PATH "${ET_DIR_PATH}/examples/arm/ethos-u-scratch/ethos-u" CACHE PATH
-  "Path to Ethos-U bare metal driver/env")
-set(PYTHON_EXECUTABLE "python" CACHE PATH
-  "Define to override python executable used")
-
+set(ET_DIR_PATH
+    "../../.."
+    CACHE PATH "Path to ExecuTorch dir"
+)
+set(ET_BUILD_DIR_PATH
+    "${ET_DIR_PATH}/cmake-out"
+    CACHE PATH "Path to ExecuTorch build dir"
+)
+set(ET_INCLUDE_PATH
+    "${ET_DIR_PATH}/.."
+    CACHE PATH "Path to ExecuTorch headers"
+)
+set(ET_PTE_FILE_PATH
+    ""
+    CACHE PATH "Path to ExecuTorch model pte"
+)
+set(ETHOS_SDK_PATH
+    "${ET_DIR_PATH}/examples/arm/ethos-u-scratch/ethos-u"
+    CACHE PATH "Path to Ethos-U bare metal driver/env"
+)
+set(PYTHON_EXECUTABLE
+    "python"
+    CACHE PATH "Define to override python executable used"
+)
 
 get_filename_component(ET_BUILD_DIR_PATH ${ET_BUILD_DIR_PATH} REALPATH)
 get_filename_component(ET_DIR_PATH ${ET_DIR_PATH} REALPATH)
@@ -104,23 +117,25 @@ set_property(
 
 # Convert pte to header
 if(NOT ${SEMIHOSTING})
-  add_custom_target(gen_model_header
-      DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/model_pte.h)
+  add_custom_target(
+    gen_model_header DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/model_pte.h
+  )
 
   add_custom_command(
-      OUTPUT ${CMAKE_CURRENT_BINARY_DIR}/model_pte.h
-      COMMAND ${PYTHON_EXECUTABLE} ${CMAKE_SOURCE_DIR}/pte_to_header.py
-      --pte ${ET_PTE_FILE_PATH}
-      --outdir ${CMAKE_CURRENT_BINARY_DIR}
-      DEPENDS ${ET_PTE_FILE_PATH}
-      WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
+    OUTPUT ${CMAKE_CURRENT_BINARY_DIR}/model_pte.h
+    COMMAND ${PYTHON_EXECUTABLE} ${CMAKE_SOURCE_DIR}/pte_to_header.py --pte
+            ${ET_PTE_FILE_PATH} --outdir ${CMAKE_CURRENT_BINARY_DIR}
+    DEPENDS ${ET_PTE_FILE_PATH}
+    WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
   )
 endif()
 
 # The arm_executor_runner executable
 add_executable(arm_executor_runner)
 
-target_sources(arm_executor_runner PRIVATE arm_executor_runner.cpp)
+target_sources(
+  arm_executor_runner PRIVATE arm_executor_runner.cpp arm_perf_monitor.cpp
+)
 
 # Include the target's bare-metal linker script
 ethosu_eval_link_options(arm_executor_runner)
@@ -146,19 +161,17 @@ target_include_directories(
   arm_executor_runner PRIVATE ${ET_INCLUDE_PATH} ${CMAKE_CURRENT_BINARY_DIR}
 )
 
-
-
 if(SEMIHOSTING)
-target_compile_definitions(arm_executor_runner PUBLIC SEMIHOSTING)
+  target_compile_definitions(arm_executor_runner PUBLIC SEMIHOSTING)
 else()
-add_dependencies(arm_executor_runner gen_model_header)
+  add_dependencies(arm_executor_runner gen_model_header)
 endif()
 
 # Fixup compilation of retarget.c
 if(SEMIHOSTING)
-# Remove this when MLBEDSW-8910 is closed.
-set_source_files_properties(
-  ${ETHOS_SDK_PATH}/core_platform/targets/corstone-300/retarget.c
-  PROPERTIES HEADER_FILE_ONLY TRUE
-)
+  # Remove this when MLBEDSW-8910 is closed.
+  set_source_files_properties(
+    ${ETHOS_SDK_PATH}/core_platform/targets/corstone-300/retarget.c
+    PROPERTIES HEADER_FILE_ONLY TRUE
+  )
 endif()
diff --git a/examples/arm/executor_runner/arm_executor_runner.cpp b/examples/arm/executor_runner/arm_executor_runner.cpp
index c5528b2519..7cc27c7cce 100644
--- a/examples/arm/executor_runner/arm_executor_runner.cpp
+++ b/examples/arm/executor_runner/arm_executor_runner.cpp
@@ -20,23 +20,28 @@
 #include <executorch/runtime/platform/platform.h>
 #include <executorch/runtime/platform/runtime.h>
 
-/**
- * This header file is generated by the build process based on the .pte file
- * specified in the ET_PTE_FILE_PATH variable to the cmake build.
- * Control of the action of the .pte, it's use of operators and delegates, and
- * which are included in the bare metal build are also orchestrated by the
- * CMakeLists file. For example use see examples/arm/run.sh
- */
+#include "arm_perf_monitor.h"
+
 #ifdef SEMIHOSTING
-// TODO: Verify the section attribute to match the linker script
-//       pending MLETORCH-39
-const size_t input_allocation_pool_size = 1 * 1024 * 1024;
+// In our unit test flow, we have the capability to provide an enitre model to
+// the Corstone-3xx FVP using semi hosting. Hence, the input allocation pool
+// needs to be large enough to take an entire model. On the FVP,
+// network_model_sec is linked to the DDR, which is large (256MB on
+// Corstone-300).
+const size_t input_allocation_pool_size = 100 * 1024 * 1024;
 unsigned char __attribute__((
     section("network_model_sec"),
     aligned(16))) input_allocation_pool[input_allocation_pool_size];
 // memory for the model will be allocated from the input_allocation_pool
 char* model_pte = nullptr;
 #else
+/**
+ * This header file is generated by the build process based on the .pte file
+ * specified in the ET_PTE_FILE_PATH variable to the cmake build.
+ * Control of the action of the .pte, it's use of operators and delegates, and
+ * which are included in the bare metal build are also orchestrated by the
+ * CMakeLists file. For example use see examples/arm/run.sh
+ */
 #include "model_pte.h"
 #endif
 
@@ -50,9 +55,14 @@ unsigned char __attribute__((
     section("network_model_sec"),
     aligned(16))) method_allocation_pool[METHOD_ALLOCATOR_POOL_SIZE];
 
+const size_t temp_allocation_pool_size = 1 * 1024 * 1024;
+unsigned char __attribute__((
+    section("network_model_sec"),
+    aligned(16))) temp_allocation_pool[temp_allocation_pool_size];
+
 void et_pal_init(void) {}
 
-__ET_NORETURN void et_pal_abort(void) {
+ET_NORETURN void et_pal_abort(void) {
 #ifndef SEMIHOSTING
   __builtin_trap();
 #else
@@ -64,14 +74,15 @@ __ET_NORETURN void et_pal_abort(void) {
  * Emit a log message via platform output (serial port, console, etc).
  */
 void et_pal_emit_log_message(
-    __ET_UNUSED et_timestamp_t timestamp,
+    ET_UNUSED et_timestamp_t timestamp,
     et_pal_log_level_t level,
     const char* filename,
-    __ET_UNUSED const char* function,
+    ET_UNUSED const char* function,
     size_t line,
     const char* message,
-    __ET_UNUSED size_t length) {
-  fprintf(stderr, "%c executorch:%s:%zu] %s\n", level, filename, line, message);
+    ET_UNUSED size_t length) {
+  fprintf(
+      stderr, "%c [executorch:%s:%zu] %s\n", level, filename, line, message);
 }
 
 namespace {
@@ -85,10 +96,12 @@ Result<util::BufferCleanup> prepare_input_tensors(
   size_t num_inputs = method_meta.num_inputs();
   size_t num_allocated = 0;
 
+#ifdef SEMIHOSTING
   ET_CHECK_OR_RETURN_ERROR(
       input_buffers.size() > 0 && num_inputs == input_buffers.size(),
       InvalidArgument,
       "Wrong number of inputs allocated compared to method");
+#endif
 
   void** inputs =
       static_cast<void**>(allocator.allocate(num_inputs * sizeof(void*)));
@@ -320,8 +333,11 @@ int main(int argc, const char* argv[]) {
   torch::executor::HierarchicalAllocator planned_memory(
       {planned_spans.data(), planned_spans.size()});
 
+  torch::executor::MemoryAllocator temp_allocator(
+      temp_allocation_pool_size, temp_allocation_pool);
+
   torch::executor::MemoryManager memory_manager(
-      &method_allocator, &planned_memory);
+      &method_allocator, &planned_memory, &temp_allocator);
 
   Result<torch::executor::Method> method =
       program->load_method(method_name, &memory_manager);
@@ -349,7 +365,10 @@ int main(int argc, const char* argv[]) {
   ET_LOG(Info, "Input prepared.");
 
   ET_LOG(Info, "Starting the model execution...");
+  StartMeasurements();
   Error status = method->execute();
+  StopMeasurements();
+
   if (status != Error::Ok) {
     ET_LOG(
         Info,
@@ -367,6 +386,8 @@ int main(int argc, const char* argv[]) {
   for (int i = 0; i < outputs.size(); ++i) {
     Tensor t = outputs[i].toTensor();
 #ifndef SEMIHOSTING
+    // The output might be collected and parsed so printf() is used instead
+    // of ET_LOG() here
     for (int j = 0; j < outputs[i].toTensor().numel(); ++j) {
       if (t.scalar_type() == ScalarType::Int) {
         printf(
diff --git a/examples/arm/executor_runner/arm_perf_monitor.cpp b/examples/arm/executor_runner/arm_perf_monitor.cpp
new file mode 100644
index 0000000000..c53d28baab
--- /dev/null
+++ b/examples/arm/executor_runner/arm_perf_monitor.cpp
@@ -0,0 +1,173 @@
+/* Copyright 2024 Arm Limited and/or its affiliates.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <cinttypes>
+#include <vector>
+
+#include "arm_perf_monitor.h"
+
+#ifdef ETHOSU
+#include <ethosu_driver.h>
+#include <executorch/runtime/platform/log.h>
+#include <pmu_ethosu.h>
+
+static uint32_t ethosu_inference_count = 0;
+static uint64_t ethosu_ArmBackendExecuteCycleCountStart = 0;
+static uint64_t ethosu_ArmBackendExecuteCycleCount = 0;
+static uint64_t ethosu_ArmWhenNPURunCycleCountStart = 0;
+static uint64_t ethosu_ArmWhenNPURunCycleCount = 0;
+static uint64_t ethosu_pmuCycleCount = 0;
+static std::vector<uint64_t> ethosu_pmuEventCounts(
+    ETHOSU_PMU_Get_NumEventCounters(),
+    0);
+
+static const uint32_t ethosu_pmuCountersUsed = 4;
+// ethosu_pmuCountersUsed should match numbers of counters setup in
+// ethosu_inference_begin() and not be more then the HW supports
+static_assert(ETHOSU_PMU_NCOUNTERS >= ethosu_pmuCountersUsed);
+
+extern "C" {
+
+// Callback invoked at start of NPU execution
+void ethosu_inference_begin(struct ethosu_driver* drv, void*) {
+  // Enable PMU
+  ETHOSU_PMU_Enable(drv);
+  ETHOSU_PMU_PMCCNTR_CFG_Set_Stop_Event(drv, ETHOSU_PMU_NPU_IDLE);
+  ETHOSU_PMU_PMCCNTR_CFG_Set_Start_Event(drv, ETHOSU_PMU_NPU_ACTIVE);
+
+  // Setup 4 counters
+  ETHOSU_PMU_Set_EVTYPER(drv, 0, ETHOSU_PMU_AXI0_RD_DATA_BEAT_RECEIVED);
+  ETHOSU_PMU_Set_EVTYPER(drv, 1, ETHOSU_PMU_AXI1_RD_DATA_BEAT_RECEIVED);
+  ETHOSU_PMU_Set_EVTYPER(drv, 2, ETHOSU_PMU_AXI0_WR_DATA_BEAT_WRITTEN);
+  ETHOSU_PMU_Set_EVTYPER(drv, 3, ETHOSU_PMU_NPU_IDLE);
+  // Enable 4 counters
+  ETHOSU_PMU_CNTR_Enable(drv, 0xf);
+
+  ETHOSU_PMU_CNTR_Enable(drv, ETHOSU_PMU_CCNT_Msk);
+  ETHOSU_PMU_CYCCNT_Reset(drv);
+
+  // Reset all counters
+  ETHOSU_PMU_EVCNTR_ALL_Reset(drv);
+
+  // Save Cortex-M cycle clock to calculate total CPU cycles used in
+  // ethosu_inference_end()
+  ethosu_ArmWhenNPURunCycleCountStart = ARM_PMU_Get_CCNTR();
+}
+
+// Callback invoked at end of NPU execution
+void ethosu_inference_end(struct ethosu_driver* drv, void*) {
+  ethosu_inference_count++;
+  ethosu_pmuCycleCount += ETHOSU_PMU_Get_CCNTR(drv);
+
+  for (size_t i = 0; i < ethosu_pmuCountersUsed; i++) {
+    ethosu_pmuEventCounts[i] += ETHOSU_PMU_Get_EVCNTR(drv, i);
+  }
+  ETHOSU_PMU_Disable(drv);
+  // Add Cortex-M cycle clock used during this NPU execution
+  ethosu_ArmWhenNPURunCycleCount +=
+      (ARM_PMU_Get_CCNTR() - ethosu_ArmWhenNPURunCycleCountStart);
+}
+
+// Callback invoked at start of ArmBackend::execute()
+void ArmBackend_execute_begin() {
+  // Save Cortex-M cycle clock to calculate total CPU cycles used in
+  // ArmBackend_execute_end()
+  ethosu_ArmBackendExecuteCycleCountStart = ARM_PMU_Get_CCNTR();
+}
+
+// Callback invoked at end of ArmBackend::execute()
+void ArmBackend_execute_end() {
+  // Add Cortex-M cycle clock used during this ArmBackend::execute()
+  ethosu_ArmBackendExecuteCycleCount +=
+      (ARM_PMU_Get_CCNTR() - ethosu_ArmBackendExecuteCycleCountStart);
+}
+}
+
+void StartMeasurements() {
+  ethosu_ArmBackendExecuteCycleCount = 0;
+  ethosu_ArmWhenNPURunCycleCount = 0;
+  ethosu_pmuCycleCount = 0;
+
+  for (size_t i = 0; i < ethosu_pmuCountersUsed; i++) {
+    ethosu_pmuEventCounts[i] = 0;
+  }
+  ARM_PMU_Enable();
+  DCB->DEMCR |= DCB_DEMCR_TRCENA_Msk; // Trace enable
+  ARM_PMU_CYCCNT_Reset();
+  ARM_PMU_CNTR_Enable(PMU_CNTENSET_CCNTR_ENABLE_Msk);
+}
+
+void StopMeasurements() {
+  ARM_PMU_CNTR_Disable(
+      PMU_CNTENCLR_CCNTR_ENABLE_Msk | PMU_CNTENCLR_CNT0_ENABLE_Msk |
+      PMU_CNTENCLR_CNT1_ENABLE_Msk);
+  uint32_t cycle_count = ARM_PMU_Get_CCNTR();
+
+  // Number of comand streams handled by the NPU
+  ET_LOG(Info, "NPU Inferences : %d", ethosu_inference_count);
+  ET_LOG(Info, "Profiler report, CPU cycles per operator:");
+  // This is number of CPU cycles for the ethos-u operator from start to finish
+  // in the framework If there is more then one commandstream the time is added
+  // together
+  ET_LOG(
+      Info,
+      "ethos-u : cycle_cnt : %d cycles",
+      ethosu_ArmBackendExecuteCycleCount);
+  // We could print a list of the cycles used by the other delegates here in the
+  // future but now we only print ethos-u: this means that "Operator(s) total:
+  // ..." will be the same number as ethos-u : cycle_cnt and not the sum of all
+  ET_LOG(
+      Info,
+      "Operator(s) total: %d CPU cycles",
+      ethosu_ArmBackendExecuteCycleCount);
+  // Total CPU cycles used in the executorch method->execute()
+  // Other delegates and no delegates are counted in this
+  ET_LOG(Info, "Inference runtime: %d CPU cycles total", cycle_count);
+
+  ET_LOG(
+      Info,
+      "NOTE: CPU cycle values and ratio calculations require FPGA and identical CPU/NPU frequency");
+
+  // Avoid division with zero if ARM_PMU_Get_CCNTR() is not enabled properly.
+  if (cycle_count == 0) {
+    ET_LOG(Info, "Inference CPU ratio: ?.?? %%");
+    ET_LOG(Info, "Inference NPU ratio: ?.?? %%");
+  } else {
+    ET_LOG(
+        Info,
+        "Inference CPU ratio: %.2f %%",
+        100.0 * (cycle_count - ethosu_ArmWhenNPURunCycleCount) / cycle_count);
+    ET_LOG(
+        Info,
+        "Inference NPU ratio: %.2f %%",
+        100.0 * ethosu_ArmWhenNPURunCycleCount / cycle_count);
+  }
+
+  // CPU cycles used by NPU, e.g. number of CPU cycles used between
+  // ethosu_inference_begin() and ethosu_inference_end()
+  // If there is more then one commandstream the time is added together
+  ET_LOG(
+      Info,
+      "cpu_wait_for_npu_cntr : %" PRIu64 " CPU cycles",
+      ethosu_ArmWhenNPURunCycleCount);
+
+  ET_LOG(Info, "Ethos-U PMU report:");
+  ET_LOG(Info, "ethosu_pmu_cycle_cntr : %" PRIu64, ethosu_pmuCycleCount);
+
+  for (size_t i = 0; i < ethosu_pmuCountersUsed; i++) {
+    ET_LOG(Info, "ethosu_pmu_cntr%zd : %" PRIu64, i, ethosu_pmuEventCounts[i]);
+  }
+  ET_LOG(
+      Info,
+      "Ethos-U PMU Events:[ETHOSU_PMU_AXI0_RD_DATA_BEAT_RECEIVED, ETHOSU_PMU_AXI1_RD_DATA_BEAT_RECEIVED, ETHOSU_PMU_AXI0_WR_DATA_BEAT_WRITTEN, ETHOSU_PMU_NPU_IDLE]");
+}
+
+#else
+void StartMeasurements() {}
+
+void StopMeasurements() {}
+
+#endif
diff --git a/examples/arm/executor_runner/arm_perf_monitor.h b/examples/arm/executor_runner/arm_perf_monitor.h
new file mode 100644
index 0000000000..3925a9a571
--- /dev/null
+++ b/examples/arm/executor_runner/arm_perf_monitor.h
@@ -0,0 +1,10 @@
+/* Copyright 2024 Arm Limited and/or its affiliates.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+void StartMeasurements();
+void StopMeasurements();
diff --git a/examples/arm/setup.sh b/examples/arm/setup.sh
index 272ddcfc0c..8c39a3a866 100755
--- a/examples/arm/setup.sh
+++ b/examples/arm/setup.sh
@@ -91,6 +91,7 @@ fi
 ### Optional user args
 ########
 root_dir=${1:-"${script_dir}/ethos-u-scratch"}
+mkdir -p ${root_dir}
 root_dir=$(realpath ${root_dir})
 
 ########
@@ -215,7 +216,7 @@ function setup_vela() {
     if [[ ! -e ethos-u-vela ]]; then
         git clone https://review.mlplatform.org/ml/ethos-u/ethos-u-vela
         repo_dir="${root_dir}/ethos-u-vela"
-        base_rev=7706c1281166e7611f4300ed26338087152a33c9
+        base_rev=d362f5443f67b1e6213a9d8f124edff758efac96
         patch_repo
     fi
     cd "${root_dir}/ethos-u-vela"
@@ -246,7 +247,6 @@ fi
 cd "${script_dir}"
 
 # Setup the root dir
-mkdir -p "${root_dir}"
 cd "${root_dir}"
 echo "[main] Using root dir ${root_dir}"
 
diff --git a/examples/cadence/models/wav2vec2.py b/examples/cadence/models/wav2vec2.py
new file mode 100644
index 0000000000..5db9ea2a6d
--- /dev/null
+++ b/examples/cadence/models/wav2vec2.py
@@ -0,0 +1,65 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# Example script for exporting simple models to flatbuffer
+
+import logging
+
+from executorch.backends.cadence.aot.ops_registrations import *  # noqa
+
+import torch
+
+from executorch.backends.cadence.aot.export_example import export_model
+from torchaudio.models.wav2vec2.model import wav2vec2_model, Wav2Vec2Model
+
+FORMAT = "[%(levelname)s %(asctime)s %(filename)s:%(lineno)s] %(message)s"
+logging.basicConfig(level=logging.INFO, format=FORMAT)
+
+
+def main() -> None:
+    # The wrapper is needed to avoid issues with the optional second arguments
+    # of Wav2Vec2Models.
+    class Wav2Vec2ModelWrapper(torch.nn.Module):
+        def __init__(self, model: Wav2Vec2Model):
+            super().__init__()
+            self.model = model
+
+        def forward(self, x):
+            out, _ = self.model(x)
+            return out
+
+    _model = wav2vec2_model(
+        extractor_mode="layer_norm",
+        extractor_conv_layer_config=None,
+        extractor_conv_bias=False,
+        encoder_embed_dim=768,
+        encoder_projection_dropout=0.1,
+        encoder_pos_conv_kernel=128,
+        encoder_pos_conv_groups=16,
+        encoder_num_layers=12,
+        encoder_num_heads=12,
+        encoder_attention_dropout=0.1,
+        encoder_ff_interm_features=3072,
+        encoder_ff_interm_dropout=0.0,
+        encoder_dropout=0.1,
+        encoder_layer_norm_first=False,
+        encoder_layer_drop=0.1,
+        aux_num_out=None,
+    )
+    _model.eval()
+
+    model = Wav2Vec2ModelWrapper(_model)
+    model.eval()
+
+    # test input
+    audio_len = 1680
+    example_inputs = (torch.rand(1, audio_len),)
+
+    export_model(model, example_inputs)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/examples/demo-apps/android/ExecuTorchDemo/README.md b/examples/demo-apps/android/ExecuTorchDemo/README.md
index 1d993da3d4..a60307dd90 100644
--- a/examples/demo-apps/android/ExecuTorchDemo/README.md
+++ b/examples/demo-apps/android/ExecuTorchDemo/README.md
@@ -53,7 +53,7 @@ For delegating to Qualcomm Hexagon NPU, please follow the tutorial [here](build-
 After generating the model, copy the model to `assets` directory.
 
 ```bash
-python -m examples.qualcomm.scripts.deeplab_v3 -b build_android -m SM8450 -s <adb_connected_device_serial>
+python -m examples.qualcomm.scripts.deeplab_v3 -b build-android -m SM8450 -s <adb_connected_device_serial>
 cp deeplab_v3/dlv3_qnn.pte examples/demo-apps/android/ExecuTorchDemo/app/src/main/assets/
 ```
 
@@ -78,6 +78,8 @@ cmake . -DCMAKE_INSTALL_PREFIX=cmake-android-out \
   -DEXECUTORCH_BUILD_XNNPACK=ON \
   -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
   -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+  -DEXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL=ON \
+  -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
   -Bcmake-android-out
 
 cmake --build cmake-android-out -j16 --target install
@@ -119,6 +121,8 @@ cmake . -DCMAKE_INSTALL_PREFIX=cmake-android-out \
     -DQNN_SDK_ROOT="${QNN_SDK_ROOT}" \
     -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
     -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
     -Bcmake-android-out
 
 cmake --build cmake-android-out -j16 --target install
diff --git a/examples/demo-apps/android/ExecuTorchDemo/app/src/main/BUCK b/examples/demo-apps/android/ExecuTorchDemo/app/src/main/BUCK
new file mode 100644
index 0000000000..2b33cef732
--- /dev/null
+++ b/examples/demo-apps/android/ExecuTorchDemo/app/src/main/BUCK
@@ -0,0 +1,67 @@
+load("@fbsource//tools/build_defs:manifold.bzl", "manifold_get")
+load("@fbsource//tools/build_defs/android:fb_android_binary.bzl", "fb_android_binary")
+load("@fbsource//tools/build_defs/android:fb_android_library.bzl", "fb_android_library")
+load("@fbsource//tools/build_defs/android:fb_android_resource.bzl", "fb_android_resource")
+
+manifold_get(
+    name = "dl3_xnnpack_fp32",
+    out = "dl3_xnnpack_fp32.pte",
+    api_key = "executorch-key",
+    artifact_path = "tree/models/benchmarking/executorch/dl3_xnnpack_fp32.pte",
+    bucket_name = "executorch",
+    sha1 = "3e7af1d8f5ec4acb6de156d361715e16e5f53783",
+    timeout_msec = 120000,
+)
+
+fb_android_resource(
+    name = "app_res",
+    assets = "assets",
+    package = "com.example.executorchdemo",
+    res = "res",
+)
+
+fb_android_resource(
+    name = "model_res",
+    assets = {"dl3_xnnpack_fp32.pte": ":dl3_xnnpack_fp32"},
+    package = "com.example.executorchdemo",
+    res = "res",
+)
+
+fb_android_library(
+    name = "app_lib",
+    srcs = [
+        "java/com/example/executorchdemo/ClassificationActivity.java",
+        "java/com/example/executorchdemo/ImageNetClasses.java",
+        "java/com/example/executorchdemo/MainActivity.java",
+        "java/com/example/executorchdemo/TensorImageUtils.java",
+    ],
+    autoglob = False,
+    language = "JAVA",
+    deps = [
+        ":app_res",
+        "//xplat/executorch/extension/android:executorch",
+    ],
+)
+
+fb_android_binary(
+    name = "ExecuTorchDemo",
+    keystore = "//fbandroid/keystores:debug",
+    manifest = "AndroidManifest.xml",
+    manifest_entries = {
+        "min_sdk_version": 19,  # Android supports 19 for minimum
+        "target_sdk_version": 34,
+        "version_code": "1",
+        "version_name": "1.0",
+    },
+    package_type = "release",
+    skip_proguard = True,
+    deps = [
+        ":app_lib",
+        ":app_res",
+        ":model_res",
+        "//third-party/java/androidx/appcompat/appcompat:appcompat",
+        "//third-party/java/androidx/constraintlayout/constraintlayout:constraintlayout",
+        "//xplat/executorch/extension/android:executorch",
+        "//xplat/executorch/extension/android/jni:executorch_jni_full",
+    ],
+)
diff --git a/examples/demo-apps/android/ExecuTorchDemo/setup.sh b/examples/demo-apps/android/ExecuTorchDemo/setup.sh
index 05dc3e4492..00d9201b09 100644
--- a/examples/demo-apps/android/ExecuTorchDemo/setup.sh
+++ b/examples/demo-apps/android/ExecuTorchDemo/setup.sh
@@ -15,6 +15,7 @@ cmake . -DCMAKE_INSTALL_PREFIX="${CMAKE_OUT}" \
   -DEXECUTORCH_BUILD_XNNPACK=ON \
   -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
   -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+  -DEXECUTORCH_BUILD_EXTENSION_TESNOR=ON \
   -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
   -DCMAKE_BUILD_TYPE=Release \
   -B"${CMAKE_OUT}"
diff --git a/examples/demo-apps/android/LlamaDemo/README.md b/examples/demo-apps/android/LlamaDemo/README.md
index 7bb36657da..1d4dc6d576 100644
--- a/examples/demo-apps/android/LlamaDemo/README.md
+++ b/examples/demo-apps/android/LlamaDemo/README.md
@@ -1,111 +1,141 @@
-# Building ExecuTorch LLaMA Android Demo App
-
-This app demonstrates the use of the LLaMA chat app demonstrating local inference use case with ExecuTorch.
-
-## Prerequisites
-* Set up your ExecuTorch repo and environment if you haven’t done so by following the [Setting up ExecuTorch](https://pytorch.org/executorch/stable/getting-started-setup) to set up the repo and dev environment.
-* Install [Java 17 JDK](https://www.oracle.com/java/technologies/javase/jdk17-archive-downloads.html).
-* Install the [Android SDK API Level 34](https://developer.android.com/about/versions/14/setup-sdk) and
-  [Android NDK 25.0.8775105](https://developer.android.com/studio/projects/install-ndk).
- * If you have Android Studio set up, you can install them with
-   * Android Studio Settings -> Language & Frameworks -> Android SDK -> SDK Platforms -> Check the row with API Level 34.
-   * Android Studio Settings -> Language & Frameworks -> Android SDK -> SDK Tools -> Check NDK (Side by side) row.
- * Alternatively, you can follow [this guide](https://github.com/pytorch/executorch/blob/856e085b9344c8b0bf220a97976140a5b76356aa/examples/demo-apps/android/LlamaDemo/SDK.md) to set up Java/SDK/NDK with CLI.
-* Supported Host OS: CentOS, macOS Sonoma on Apple Silicon.
-
-Note: This demo app and tutorial has only been validated with arm64-v8a [ABI](https://developer.android.com/ndk/guides/abis), with NDK 25.0.8775105.
-
-## Getting models
-Please refer to the [ExecuTorch Llama2 docs](https://github.com/pytorch/executorch/blob/main/examples/models/llama2/README.md) to export the model.
-
-After you export the model and generate tokenizer.bin, push them device:
-```bash
-adb shell mkdir -p /data/local/tmp/llama
-adb push llama2.pte /data/local/tmp/llama
-adb push tokenizer.bin /data/local/tmp/llama
-```
-
-Note: The demo app searches in `/data/local/tmp/llama` for .pte and .bin files as LLAMA model and tokenizer.
+# ExecuTorch Llama Android Demo App
 
-## Build library
-For the demo app to build, we need to build the ExecuTorch AAR library first.
+We’re excited to share that the newly revamped Android demo app is live and includes many new updates to provide a more intuitive and smoother user experience with a chat use case! The primary goal of this app is to showcase how easily ExecuTorch can be integrated into an Android demo app and how to exercise the many features ExecuTorch and Llama models have to offer.
 
-The AAR library contains the required Java package and the corresponding JNI
-library for using ExecuTorch in your Android app.
+This app serves as a valuable resource to inspire your creativity and provide foundational code that you can customize and adapt for your particular use case.
 
-### Alternative 1: Use prebuilt AAR library (recommended)
+Please dive in and start exploring our demo app today! We look forward to any feedback and are excited to see your innovative ideas.
 
-1. Open a terminal window and navigate to the root directory of the `executorch`.
-2. Run the following command to download the prebuilt library:
-```bash
-bash examples/demo-apps/android/LlamaDemo/download_prebuilt_lib.sh
-```
 
-The prebuilt AAR library contains the Java library and the JNI binding for
-NativePeer.java and ExecuTorch native library, including core ExecuTorch
-runtime libraries, XNNPACK backend, Portable kernels, Optimized kernels,
-and Quantized kernels. It comes with two ABI variants, arm64-v8a and x86_64.
+## Key Concepts
+From this demo app, you will learn many key concepts such as:
+* How to prepare Llama models, build the ExecuTorch library, and model inferencing across delegates
+* Expose the ExecuTorch library via JNI layer
+* Familiarity with current ExecuTorch app-facing capabilities
 
-If you want to use the prebuilt library for your own app, please refer to
-[Using Android prebuilt libraries (AAR)](./android-prebuilt-library.md) for
-tutorial.
+The goal is for you to see the type of support ExecuTorch provides and feel comfortable with leveraging it for your use cases.
 
-If you need to use other dependencies (like tokenizer), please refer to
-Alternative 2: Build from local machine option.
+## Supporting Models
+As a whole, the models that this app supports are (varies by delegate):
+* Llama 3.1 8B
+* Llama 3 8B
+* Llama 2 7B
+* LLaVA-1.5 vision model (only XNNPACK)
 
-### Alternative 2: Build from local machine
-1. Open a terminal window and navigate to the root directory of the `executorch`.
-2. Set the following environment variables:
-```bash
-export ANDROID_NDK=<path_to_android_ndk>
-export ANDROID_ABI=arm64-v8a
-```
-Note: `<path_to_android_ndk>` is the root for the NDK, which is usually under
-`~/Library/Android/sdk/ndk/XX.Y.ZZZZZ` for macOS, and contains NOTICE and README.md.
-We use `<path_to_android_ndk>/build/cmake/android.toolchain.cmake` for CMake to cross-compile.
 
-3. (Optional) If you need to use tiktoken as the tokenizer (for LLaMA3), set
-`EXECUTORCH_USE_TIKTOKEN=ON` and later CMake will use it as the tokenizer.
-If you need to run other models like LLaMA2, skip this skip.
+## Building the APK
+First it’s important to note that currently ExecuTorch provides support across 3 delegates. Once you identify the delegate of your choice, select the README link to get a complete end-to-end instructions for environment set-up to exporting the models to build ExecuTorch libraries and apps to run on device:
 
-```bash
-export EXECUTORCH_USE_TIKTOKEN=ON # Only for LLaMA3
-```
+| Delegate      | Resource |
+| ------------- | ------------- |
+| XNNPACK (CPU-based library)  | [link](docs/delegates/xnnpack_README.md) |
+| QNN (Qualcomm AI Accelerators)  | [link](docs/delegates/qualcomm_README.md) |
+| MediaTek (MediaTek AI Accelerators)  | [link](docs/delegates/mediatek_README.md)  |
 
-4. Build the Android Java extension code:
-```bash
-pushd extension/android
-./gradlew build
-popd
-```
+## How to Use the App
 
-5. Run the following command set up the required JNI library:
-```bash
-pushd examples/demo-apps/android/LlamaDemo
-./gradlew :app:setup
-popd
-```
-This is running the shell script [setup.sh](./setup.sh) which configures the required core ExecuTorch, LLAMA2, and Android libraries, builds them, and copy to jniLibs.
+This section will provide the main steps to use the app, along with a code snippet of the ExecuTorch API.
 
-## Build APK
-### Alternative 1: Android Studio (Recommended)
+For loading the app, development, and running on device we recommend Android Studio:
 1. Open Android Studio and select "Open an existing Android Studio project" to open examples/demo-apps/android/LlamaDemo.
 2. Run the app (^R). This builds and launches the app on the phone.
 
-### Alternative 2: Command line
-Without Android Studio UI, we can run gradle directly to build the app. We need to set up the Android SDK path and invoke gradle.
-```bash
-export ANDROID_HOME=<path_to_android_sdk_home>
-pushd examples/demo-apps/android/LlamaDemo
-./gradlew :app:installDebug
-popd
+### Opening the App
+
+Below are the UI features for the app.
+
+Select the settings widget to get started with picking a model, its parameters and any prompts.
+<p align="center">
+<img src="docs/screenshots/opening_the_app_details.png" width=800>
+</p>
+
+
+
+### Select Models and Parameters
+
+Once you've selected the model, tokenizer, and model type you are ready to click on "Load Model" to have the app load the model and go back to the main Chat activity.
+<p align="center">
+      <img src="docs/screenshots/settings_menu.png" width=300>
+</p>
+
+
+
+Optional Parameters:
+* Temperature: Defaulted to 0, you can adjust the temperature for the model as well. The model will reload upon any adjustments.
+* System Prompt: Without any formatting, you can enter in a system prompt. For example, "you are a travel assistant" or "give me a response in a few sentences".
+* User Prompt: More for the advanced user, if you would like to manually input a prompt then you can do so by modifying the `{{user prompt}}`. You can also modify the special tokens as well. Once changed then go back to the main Chat activity to send.
+
+> [!TIP]
+> Helpful ExecuTorch API in app
+
+```java
+// Upon returning to the Main Chat Activity
+mModule = new LlamaModule(
+            ModelUtils.getModelCategory(mCurrentSettingsFields.getModelType()),
+            modelPath,
+            tokenizerPath,
+            temperature);
+int loadResult = mModule.load();
+```
+
+* `modelCategory`: Indicate whether it’s a text-only or vision model
+* `modePath`: path to the .pte file
+* `tokenizerPath`: path to the tokenizer .bin file
+* `temperature`: model parameter to adjust the randomness of the model’s output
+
+
+### User Prompt
+Once model is successfully loaded then enter any prompt and click the send (i.e. generate) button to send it to the model.
+<p align="center">
+<img src="docs/screenshots/load_complete_and_start_prompt.png" width=300>
+</p>
+
+You can provide it more follow-up questions as well.
+<p align="center">
+<img src="docs/screenshots/chat.png" width=300>
+</p>
+
+> [!TIP]
+> Helpful ExecuTorch API in app
+```java
+mModule.generate(prompt,sequence_length, MainActivity.this);
 ```
+* `prompt`: User formatted prompt
+* `sequence_length`: Number of tokens to generate in response to a prompt
+* `MainActivity.this`: Indicate that the callback functions (OnResult(), OnStats()) are present in this class.
 
-On the phone or emulator, you can try running the model:
-<img src="../_static/img/android_llama_app.png" alt="Android LLaMA App" /><br>
+[*LLaVA-1.5: Only for XNNPACK delegate*]
 
-## Takeaways
-Through this tutorial we've learnt how to build the ExecuTorch LLAMA library, and expose it to JNI layer to build the Android app.
+For LLaVA-1.5 implementation, select the exported LLaVA .pte and tokenizer file in the Settings menu and load the model. After this you can send an image from your gallery or take a live picture along with a text prompt to the model.
+
+<p align="center">
+<img src="docs/screenshots/llava_example.png" width=300>
+</p>
+
+
+### Output Generated
+To show completion of the follow-up question, here is the complete detailed response from the model.
+<p align="center">
+<img src="docs/screenshots/chat_response.png" width=300>
+</p>
+
+> [!TIP]
+> Helpful ExecuTorch API in app
+
+Ensure you have the following functions in your callback class that you provided in the `mModule.generate()`. For this example, it is `MainActivity.this`.
+```java
+  @Override
+  public void onResult(String result) {
+    //...result contains token from response
+    //.. onResult will continue to be invoked until response is complete
+  }
+
+  @Override
+  public void onStats(float tps) {
+    //...tps (tokens per second) stats is provided by framework
+  }
+
+```
 
 ## Reporting Issues
 If you encountered any bugs or issues following this tutorial please file a bug/issue here on [Github](https://github.com/pytorch/executorch/issues/new).
diff --git a/examples/demo-apps/android/LlamaDemo/android-llama2-device-farm-test-spec.yml b/examples/demo-apps/android/LlamaDemo/android-llama2-device-farm-test-spec.yml
deleted file mode 100644
index 4df9f18cc5..0000000000
--- a/examples/demo-apps/android/LlamaDemo/android-llama2-device-farm-test-spec.yml
+++ /dev/null
@@ -1,76 +0,0 @@
-version: 0.1
-
-android_test_host: amazon_linux_2
-
-phases:
-  install:
-    commands:
-
-  pre_test:
-    commands:
-      # Prepare the model and the tokenizer
-      - adb -s $DEVICEFARM_DEVICE_UDID shell "ls -la /sdcard/"
-      - adb -s $DEVICEFARM_DEVICE_UDID shell "mkdir -p /data/local/tmp/llama/"
-      - adb -s $DEVICEFARM_DEVICE_UDID shell "mv /sdcard/tokenizer.bin /data/local/tmp/llama/tokenizer.bin"
-      - adb -s $DEVICEFARM_DEVICE_UDID shell "mv /sdcard/xnnpack_llama2.pte /data/local/tmp/llama/xnnpack_llama2.pte"
-      - adb -s $DEVICEFARM_DEVICE_UDID shell "chmod 664 /data/local/tmp/llama/tokenizer.bin"
-      - adb -s $DEVICEFARM_DEVICE_UDID shell "chmod 664 /data/local/tmp/llama/xnnpack_llama2.pte"
-      - adb -s $DEVICEFARM_DEVICE_UDID shell "ls -la /data/local/tmp/llama/"
-
-  test:
-    commands:
-      # By default, the following ADB command is used by Device Farm to run your Instrumentation test.
-      # Please refer to Android's documentation for more options on running instrumentation tests with adb:
-      # https://developer.android.com/studio/test/command-line#run-tests-with-adb
-      - echo "Starting the Instrumentation test"
-      - |
-        adb -s $DEVICEFARM_DEVICE_UDID shell "am instrument -r -w --no-window-animation \
-        $DEVICEFARM_TEST_PACKAGE_NAME/$DEVICEFARM_TEST_PACKAGE_RUNNER 2>&1 || echo \": -1\"" |
-        tee $DEVICEFARM_LOG_DIR/instrument.log
-
-      # Parse the results
-      - |-
-        INSTRUMENT_LOG="$DEVICEFARM_LOG_DIR/instrument.log"
-
-        DID_ANY_TESTS_START=$(grep "INSTRUMENTATION_STATUS_CODE: 1" $INSTRUMENT_LOG | wc -l);
-        TESTS_PASSED=$(grep "INSTRUMENTATION_STATUS_CODE: 0" $INSTRUMENT_LOG | wc -l);
-        TESTS_ERRORED=$(grep "INSTRUMENTATION_STATUS_CODE: -1" $INSTRUMENT_LOG | wc -l);
-        TESTS_FAILED=$(grep "INSTRUMENTATION_STATUS_CODE: -2" $INSTRUMENT_LOG | wc -l);
-        TESTS_IGNORED=$(grep "INSTRUMENTATION_STATUS_CODE: -3" $INSTRUMENT_LOG | wc -l);
-        TESTS_ASSUMPTION_FAILED=$(grep "INSTRUMENTATION_STATUS_CODE: -4" $INSTRUMENT_LOG | wc -l);
-        TESTS_PROCESSES_CRASHED=$(grep "INSTRUMENTATION_RESULT: shortMsg=Process crashed." $INSTRUMENT_LOG | wc -l);
-
-      # And print the results so that the CI job can show them later
-      - |
-        INSTRUMENT_LOG="$DEVICEFARM_LOG_DIR/instrument.log"
-
-        if [ $DID_ANY_TESTS_START -eq 0 ];
-        then
-          echo "[PyTorch] Marking the test suite as failed because no tests started!";
-          false;
-        elif [ $TESTS_FAILED -ne 0 ];
-        then
-          OBSERVED_TPS=$(grep "The observed TPS " $INSTRUMENT_LOG | tail -n 1)
-
-          if [ -n "${OBSERVED_TPS}" ];
-          then
-            echo "[PyTorch] ${OBSERVED_TPS}";
-          else
-            echo "[PyTorch] Marking the test suite as failed because it failed to load the model";
-          fi
-        elif [ $TESTS_ERRORED -ne 0 ];
-        then
-          echo "[PyTorch] Marking the test suite as failed because $TESTS_ERRORED tests errored!";
-          false;
-        elif [ $TESTS_PROCESSES_CRASHED -ne 0 ];
-        then
-          echo "[PyTorch] Marking the test suite as failed because the app crashed due to OOM!";
-          false;
-        fi;
-
-  post_test:
-    commands:
-
-artifacts:
-  # By default, Device Farm will collect your artifacts from the $DEVICEFARM_LOG_DIR directory.
-  - $DEVICEFARM_LOG_DIR
diff --git a/examples/demo-apps/android/LlamaDemo/app/build.gradle.kts b/examples/demo-apps/android/LlamaDemo/app/build.gradle.kts
index 3c168689f7..37c8cbf0ba 100644
--- a/examples/demo-apps/android/LlamaDemo/app/build.gradle.kts
+++ b/examples/demo-apps/android/LlamaDemo/app/build.gradle.kts
@@ -17,7 +17,7 @@ android {
 
   defaultConfig {
     applicationId = "com.example.executorchllamademo"
-    minSdk = 24
+    minSdk = 28
     targetSdk = 33
     versionCode = 1
     versionName = "1.0"
@@ -56,7 +56,10 @@ dependencies {
   implementation("androidx.camera:camera-core:1.3.0-rc02")
   implementation("androidx.constraintlayout:constraintlayout:2.2.0-alpha12")
   implementation("com.facebook.fbjni:fbjni:0.5.1")
+  implementation("com.google.code.gson:gson:2.8.6")
   implementation(files("libs/executorch-llama.aar"))
+  implementation("com.google.android.material:material:1.12.0")
+  implementation("androidx.activity:activity:1.9.0")
   testImplementation("junit:junit:4.13.2")
   androidTestImplementation("androidx.test.ext:junit:1.1.5")
   androidTestImplementation("androidx.test.espresso:espresso-core:3.5.1")
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/androidTest/java/com/example/executorchllamademo/PerfTest.java b/examples/demo-apps/android/LlamaDemo/app/src/androidTest/java/com/example/executorchllamademo/PerfTest.java
index b8988d1f4b..221a9bd741 100644
--- a/examples/demo-apps/android/LlamaDemo/app/src/androidTest/java/com/example/executorchllamademo/PerfTest.java
+++ b/examples/demo-apps/android/LlamaDemo/app/src/androidTest/java/com/example/executorchllamademo/PerfTest.java
@@ -8,12 +8,15 @@
 
 package com.example.executorchllamademo;
 
-import static junit.framework.TestCase.assertTrue;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertFalse;
 
+import android.os.Bundle;
 import androidx.test.ext.junit.runners.AndroidJUnit4;
+import androidx.test.platform.app.InstrumentationRegistry;
+import java.io.File;
 import java.util.ArrayList;
+import java.util.Arrays;
 import java.util.List;
 import org.junit.Test;
 import org.junit.runner.RunWith;
@@ -24,33 +27,35 @@
 public class PerfTest implements LlamaCallback {
 
   private static final String RESOURCE_PATH = "/data/local/tmp/llama/";
-  private static final String MODEL_NAME = "xnnpack_llama2.pte";
   private static final String TOKENIZER_BIN = "tokenizer.bin";
 
-  // From https://github.com/pytorch/executorch/blob/main/examples/models/llama2/README.md
-  private static final Float EXPECTED_TPS = 10.0F;
-
   private final List<String> results = new ArrayList<>();
   private final List<Float> tokensPerSecond = new ArrayList<>();
 
   @Test
   public void testTokensPerSecond() {
-    String modelPath = RESOURCE_PATH + MODEL_NAME;
     String tokenizerPath = RESOURCE_PATH + TOKENIZER_BIN;
-    LlamaModule mModule = new LlamaModule(modelPath, tokenizerPath, 0.8f);
+    // Find out the model name
+    File directory = new File(RESOURCE_PATH);
+    Arrays.stream(directory.listFiles())
+        .filter(file -> file.getName().endsWith(".pte"))
+        .forEach(
+            model -> {
+              LlamaModule mModule = new LlamaModule(model.getPath(), tokenizerPath, 0.8f);
+              // Print the model name because there might be more than one of them
+              report("ModelName", model.getName());
 
-    int loadResult = mModule.load();
-    // Check that the model can be load successfully
-    assertEquals(0, loadResult);
+              int loadResult = mModule.load();
+              // Check that the model can be load successfully
+              assertEquals(0, loadResult);
 
-    // Run a testing prompt
-    mModule.generate("How do you do! I'm testing llama2 on mobile device", PerfTest.this);
-    assertFalse(tokensPerSecond.isEmpty());
+              // Run a testing prompt
+              mModule.generate("How do you do! I'm testing llama2 on mobile device", PerfTest.this);
+              assertFalse(tokensPerSecond.isEmpty());
 
-    final Float tps = tokensPerSecond.get(tokensPerSecond.size() - 1);
-    assertTrue(
-        "The observed TPS " + tps + " is less than the expected TPS " + EXPECTED_TPS,
-        tps >= EXPECTED_TPS);
+              final Float tps = tokensPerSecond.get(tokensPerSecond.size() - 1);
+              report("TPS", tps);
+            });
   }
 
   @Override
@@ -62,4 +67,16 @@ public void onResult(String result) {
   public void onStats(float tps) {
     tokensPerSecond.add(tps);
   }
+
+  private void report(final String metric, final Float value) {
+    Bundle bundle = new Bundle();
+    bundle.putFloat(metric, value);
+    InstrumentationRegistry.getInstrumentation().sendStatus(0, bundle);
+  }
+
+  private void report(final String key, final String value) {
+    Bundle bundle = new Bundle();
+    bundle.putString(key, value);
+    InstrumentationRegistry.getInstrumentation().sendStatus(0, bundle);
+  }
 }
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/AndroidManifest.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/AndroidManifest.xml
index 3eaf301b5a..02d8503a4d 100644
--- a/examples/demo-apps/android/LlamaDemo/app/src/main/AndroidManifest.xml
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/AndroidManifest.xml
@@ -3,38 +3,59 @@
     xmlns:tools="http://schemas.android.com/tools"
     package="com.example.executorchllamademo">
 
-    <uses-sdk android:minSdkVersion="19"
-          android:targetSdkVersion="34"
-          android:maxSdkVersion="40" />
+    <uses-sdk
+        android:maxSdkVersion="40"
+        android:minSdkVersion="28"
+        android:targetSdkVersion="34" />
 
     <uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE" />
+    <uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE" />
+    <uses-permission android:name="android.permission.CAMERA" />
+
+    <uses-feature android:name="android.hardware.camera" />
 
     <application
+        android:name=".ETLogging"
         android:allowBackup="true"
         android:dataExtractionRules="@xml/data_extraction_rules"
+        android:extractNativeLibs="true"
         android:fullBackupContent="@xml/backup_rules"
-        android:icon="@mipmap/ic_launcher"
+        android:icon="@drawable/logo"
         android:label="@string/app_name"
-        android:roundIcon="@mipmap/ic_launcher_round"
         android:supportsRtl="true"
-        android:theme="@style/Theme.ExecuTorchLlamaDemo"
-        android:extractNativeLibs="true"
+        android:theme="@style/Theme.AppCompat.Light.NoActionBar"
         tools:targetApi="34">
+        <activity
+            android:name=".LogsActivity"
+            android:exported="false" />
+        <activity
+            android:name=".SettingsActivity"
+            android:exported="false" />
 
-        <uses-native-library android:name="libcdsprpc.so"
-            android:required="false"/>
+        <uses-native-library
+            android:name="libcdsprpc.so"
+            android:required="false" />
 
         <activity
             android:name=".MainActivity"
             android:exported="true"
             android:label="@string/app_name"
-            android:theme="@style/Theme.ExecuTorchLlamaDemo">
+            android:theme="@style/Theme.AppCompat.Light.NoActionBar">
             <intent-filter>
                 <action android:name="android.intent.action.MAIN" />
 
                 <category android:name="android.intent.category.LAUNCHER" />
             </intent-filter>
         </activity>
+
+        <activity
+            android:name=".LlmBenchmarkRunner"
+            android:exported="true">
+            <intent-filter>
+                <action android:name="com.example.executorchllamademo.BENCHMARK" />
+            </intent-filter>
+        </activity>
+
     </application>
 
 </manifest>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/BUCK b/examples/demo-apps/android/LlamaDemo/app/src/main/BUCK
new file mode 100644
index 0000000000..80315c4104
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/BUCK
@@ -0,0 +1,65 @@
+load("@fbsource//tools/build_defs/android:fb_android_binary.bzl", "fb_android_binary")
+load("@fbsource//tools/build_defs/android:fb_android_library.bzl", "fb_android_library")
+load("@fbsource//tools/build_defs/android:fb_android_resource.bzl", "fb_android_resource")
+
+oncall("executorch")
+
+fb_android_resource(
+    name = "app_res",
+    package = "com.example.executorchllamademo",
+    res = "res",
+)
+
+fb_android_library(
+    name = "app_lib",
+    srcs = [
+        "java/com/example/executorchllamademo/AppLog.java",
+        "java/com/example/executorchllamademo/DemoSharedPreferences.java",
+        "java/com/example/executorchllamademo/ETImage.java",
+        "java/com/example/executorchllamademo/ETLogging.java",
+        "java/com/example/executorchllamademo/LlmBenchmarkRunner.java",
+        "java/com/example/executorchllamademo/LogsActivity.java",
+        "java/com/example/executorchllamademo/LogsAdapter.java",
+        "java/com/example/executorchllamademo/MainActivity.java",
+        "java/com/example/executorchllamademo/Message.java",
+        "java/com/example/executorchllamademo/MessageAdapter.java",
+        "java/com/example/executorchllamademo/MessageType.java",
+        "java/com/example/executorchllamademo/ModelRunner.java",
+        "java/com/example/executorchllamademo/ModelRunnerCallback.java",
+        "java/com/example/executorchllamademo/ModelType.java",
+        "java/com/example/executorchllamademo/ModelUtils.java",
+        "java/com/example/executorchllamademo/PromptFormat.java",
+        "java/com/example/executorchllamademo/SettingsActivity.java",
+        "java/com/example/executorchllamademo/SettingsFields.java",
+    ],
+    autoglob = False,
+    language = "JAVA",
+    deps = [
+        ":app_res",
+        "//third-party/java/androidx/constraintlayout/constraintlayout:constraintlayout",
+        "//third-party/java/com/google/code/gson/gson:gson",
+        "//xplat/executorch/extension/android:executorch_llama",
+    ],
+)
+
+fb_android_binary(
+    name = "ExecuTorchLlamaDemo",
+    keystore = "//fbandroid/keystores:debug",
+    manifest = "AndroidManifest.xml",
+    manifest_entries = {
+        "min_sdk_version": 21,
+        "target_sdk_version": 34,
+        "version_code": "1",
+        "version_name": "1.0",
+    },
+    package_type = "release",
+    skip_proguard = True,
+    deps = [
+        ":app_lib",
+        ":app_res",
+        "//third-party/java/androidx/appcompat/appcompat:appcompat",
+        "//third-party/java/com/google/code/gson/gson:gson",
+        "//xplat/executorch/extension/android:executorch_llama",
+        "//xplat/executorch/extension/android/jni:executorch_llama_jni",
+    ],
+)
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/AppLog.java b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/AppLog.java
new file mode 100644
index 0000000000..36d0741938
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/AppLog.java
@@ -0,0 +1,49 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package com.example.executorchllamademo;
+
+import java.text.SimpleDateFormat;
+import java.util.Date;
+import java.util.Locale;
+
+public class AppLog {
+  private final Long timestamp;
+  private final String message;
+
+  public AppLog(String message) {
+    this.timestamp = getCurrentTimeStamp();
+    this.message = message;
+  }
+
+  public Long getTimestamp() {
+    return timestamp;
+  }
+
+  public String getMessage() {
+    return message;
+  }
+
+  public String getFormattedLog() {
+    return "[" + getFormattedTimeStamp() + "] " + message;
+  }
+
+  private Long getCurrentTimeStamp() {
+    return System.currentTimeMillis();
+  }
+
+  private String getFormattedTimeStamp() {
+    return formatDate(timestamp);
+  }
+
+  private String formatDate(long milliseconds) {
+    SimpleDateFormat formatter = new SimpleDateFormat("yyyy-MM-dd  HH:mm:ss", Locale.getDefault());
+    Date date = new Date(milliseconds);
+    return formatter.format(date);
+  }
+}
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/DemoSharedPreferences.java b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/DemoSharedPreferences.java
new file mode 100644
index 0000000000..99a94c00eb
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/DemoSharedPreferences.java
@@ -0,0 +1,90 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package com.example.executorchllamademo;
+
+import android.content.Context;
+import android.content.SharedPreferences;
+import com.google.gson.Gson;
+import com.google.gson.reflect.TypeToken;
+import java.lang.reflect.Type;
+import java.util.ArrayList;
+
+public class DemoSharedPreferences {
+  Context context;
+  SharedPreferences sharedPreferences;
+
+  public DemoSharedPreferences(Context context) {
+    this.context = context;
+    this.sharedPreferences = getSharedPrefs();
+  }
+
+  private SharedPreferences getSharedPrefs() {
+    return context.getSharedPreferences(
+        context.getString(R.string.demo_pref_file_key), Context.MODE_PRIVATE);
+  }
+
+  public String getSavedMessages() {
+    return sharedPreferences.getString(context.getString(R.string.saved_messages_json_key), "");
+  }
+
+  public void addMessages(MessageAdapter messageAdapter) {
+    SharedPreferences.Editor editor = sharedPreferences.edit();
+    Gson gson = new Gson();
+    String msgJSON = gson.toJson(messageAdapter.getSavedMessages());
+    editor.putString(context.getString(R.string.saved_messages_json_key), msgJSON);
+    editor.apply();
+  }
+
+  public void removeExistingMessages() {
+    SharedPreferences.Editor editor = sharedPreferences.edit();
+    editor.remove(context.getString(R.string.saved_messages_json_key));
+    editor.apply();
+  }
+
+  public void addSettings(SettingsFields settingsFields) {
+    SharedPreferences.Editor editor = sharedPreferences.edit();
+    Gson gson = new Gson();
+    String settingsJSON = gson.toJson(settingsFields);
+    editor.putString(context.getString(R.string.settings_json_key), settingsJSON);
+    editor.apply();
+  }
+
+  public String getSettings() {
+    return sharedPreferences.getString(context.getString(R.string.settings_json_key), "");
+  }
+
+  public void saveLogs() {
+    SharedPreferences.Editor editor = sharedPreferences.edit();
+    Gson gson = new Gson();
+    String msgJSON = gson.toJson(ETLogging.getInstance().getLogs());
+    editor.putString(context.getString(R.string.logs_json_key), msgJSON);
+    editor.apply();
+  }
+
+  public void removeExistingLogs() {
+    SharedPreferences.Editor editor = sharedPreferences.edit();
+    editor.remove(context.getString(R.string.logs_json_key));
+    editor.apply();
+  }
+
+  public ArrayList<AppLog> getSavedLogs() {
+    String logsJSONString =
+        sharedPreferences.getString(context.getString(R.string.logs_json_key), null);
+    if (logsJSONString == null || logsJSONString.isEmpty()) {
+      return new ArrayList<>();
+    }
+    Gson gson = new Gson();
+    Type type = new TypeToken<ArrayList<AppLog>>() {}.getType();
+    ArrayList<AppLog> appLogs = gson.fromJson(logsJSONString, type);
+    if (appLogs == null) {
+      return new ArrayList<>();
+    }
+    return appLogs;
+  }
+}
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/ETImage.java b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/ETImage.java
new file mode 100644
index 0000000000..e68c847262
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/ETImage.java
@@ -0,0 +1,126 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package com.example.executorchllamademo;
+
+import android.content.ContentResolver;
+import android.graphics.Bitmap;
+import android.graphics.BitmapFactory;
+import android.graphics.Color;
+import android.net.Uri;
+import androidx.annotation.Nullable;
+import java.io.FileNotFoundException;
+import java.io.InputStream;
+
+public class ETImage {
+  private int width;
+  private int height;
+  private final byte[] bytes;
+  private final Uri uri;
+  private final ContentResolver contentResolver;
+
+  ETImage(ContentResolver contentResolver, Uri uri) {
+    this.contentResolver = contentResolver;
+    this.uri = uri;
+    bytes = getBytesFromImageURI(uri);
+  }
+
+  public int getWidth() {
+    return width;
+  }
+
+  public int getHeight() {
+    return height;
+  }
+
+  public Uri getUri() {
+    return uri;
+  }
+
+  public byte[] getBytes() {
+    return bytes;
+  }
+
+  public int[] getInts() {
+    // We need to convert the byte array to an int array because
+    // the runner expects an int array as input.
+    int[] intArray = new int[bytes.length];
+    for (int i = 0; i < bytes.length; i++) {
+      intArray[i] = (bytes[i++] & 0xFF);
+    }
+    return intArray;
+  }
+
+  private byte[] getBytesFromImageURI(Uri uri) {
+    try {
+      int RESIZED_IMAGE_WIDTH = 336;
+      Bitmap bitmap = resizeImage(uri, RESIZED_IMAGE_WIDTH);
+
+      if (bitmap == null) {
+        ETLogging.getInstance().log("Unable to get bytes from Image URI. Bitmap is null");
+        return new byte[0];
+      }
+
+      width = bitmap.getWidth();
+      height = bitmap.getHeight();
+
+      byte[] rgbValues = new byte[width * height * 3];
+
+      for (int y = 0; y < height; y++) {
+        for (int x = 0; x < width; x++) {
+          // Get the color of the current pixel
+          int color = bitmap.getPixel(x, y);
+
+          // Extract the RGB values from the color
+          int red = Color.red(color);
+          int green = Color.green(color);
+          int blue = Color.blue(color);
+
+          // Store the RGB values in the byte array
+          rgbValues[y * width + x] = (byte) red;
+          rgbValues[(y * width + x) + height * width] = (byte) green;
+          rgbValues[(y * width + x) + 2 * height * width] = (byte) blue;
+        }
+      }
+      return rgbValues;
+    } catch (FileNotFoundException e) {
+      throw new RuntimeException(e);
+    }
+  }
+
+  @Nullable
+  private Bitmap resizeImage(Uri uri, int maxLength) throws FileNotFoundException {
+    InputStream inputStream = contentResolver.openInputStream(uri);
+    if (inputStream == null) {
+      ETLogging.getInstance().log("Unable to resize image, input streams is null");
+      return null;
+    }
+    Bitmap bitmap = BitmapFactory.decodeStream(inputStream);
+    if (bitmap == null) {
+      ETLogging.getInstance().log("Unable to resize image, bitmap during decode stream is null");
+      return null;
+    }
+
+    float aspectRatio;
+    int finalWidth, finalHeight;
+
+    if (bitmap.getWidth() > bitmap.getHeight()) {
+      // width > height --> width = maxLength, height scale with aspect ratio
+      aspectRatio = bitmap.getWidth() / (float) bitmap.getHeight();
+      finalWidth = maxLength;
+      finalHeight = Math.round(maxLength / aspectRatio);
+    } else {
+      // height >= width --> height = maxLength, width scale with aspect ratio
+      aspectRatio = bitmap.getHeight() / (float) bitmap.getWidth();
+      finalHeight = maxLength;
+      finalWidth = Math.round(maxLength / aspectRatio);
+    }
+
+    return Bitmap.createScaledBitmap(bitmap, finalWidth, finalHeight, false);
+  }
+}
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/ETLogging.java b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/ETLogging.java
new file mode 100644
index 0000000000..e595348945
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/ETLogging.java
@@ -0,0 +1,54 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package com.example.executorchllamademo;
+
+import android.app.Application;
+import android.util.Log;
+import java.util.ArrayList;
+
+public class ETLogging extends Application {
+  private static ETLogging singleton;
+
+  private ArrayList<AppLog> logs;
+  private DemoSharedPreferences mDemoSharedPreferences;
+
+  @Override
+  public void onCreate() {
+    super.onCreate();
+    singleton = this;
+    mDemoSharedPreferences = new DemoSharedPreferences(this.getApplicationContext());
+    logs = mDemoSharedPreferences.getSavedLogs();
+    if (logs == null) { // We don't have existing sharedPreference stored
+      logs = new ArrayList<>();
+    }
+  }
+
+  public static ETLogging getInstance() {
+    return singleton;
+  }
+
+  public void log(String message) {
+    AppLog appLog = new AppLog(message);
+    logs.add(appLog);
+    Log.d("ETLogging", appLog.getMessage());
+  }
+
+  public ArrayList<AppLog> getLogs() {
+    return logs;
+  }
+
+  public void clearLogs() {
+    logs.clear();
+    mDemoSharedPreferences.removeExistingLogs();
+  }
+
+  public void saveLogs() {
+    mDemoSharedPreferences.saveLogs();
+  }
+}
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/LlmBenchmarkRunner.java b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/LlmBenchmarkRunner.java
new file mode 100644
index 0000000000..7236fe317b
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/LlmBenchmarkRunner.java
@@ -0,0 +1,223 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package com.example.executorchllamademo;
+
+import android.app.Activity;
+import android.app.ActivityManager;
+import android.content.Intent;
+import android.os.Build;
+import android.os.Bundle;
+import android.util.Log;
+import android.widget.TextView;
+import androidx.annotation.NonNull;
+import com.google.gson.Gson;
+import java.io.File;
+import java.io.FileWriter;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
+
+public class LlmBenchmarkRunner extends Activity implements ModelRunnerCallback {
+  ModelRunner mModelRunner;
+
+  String mPrompt;
+  TextView mTextView;
+  StatsDump mStatsDump;
+
+  @Override
+  protected void onCreate(Bundle savedInstanceState) {
+    super.onCreate(savedInstanceState);
+    setContentView(R.layout.activity_benchmarking);
+    mTextView = findViewById(R.id.log_view);
+
+    Intent intent = getIntent();
+
+    File modelDir = new File(intent.getStringExtra("model_dir"));
+    File model =
+        Arrays.stream(modelDir.listFiles())
+            .filter(file -> file.getName().endsWith(".pte"))
+            .findFirst()
+            .get();
+    String tokenizerPath = intent.getStringExtra("tokenizer_path");
+
+    float temperature = intent.getFloatExtra("temperature", 0.8f);
+    mPrompt = intent.getStringExtra("prompt");
+    if (mPrompt == null) {
+      mPrompt = "The ultimate answer";
+    }
+
+    mStatsDump = new StatsDump();
+    mStatsDump.modelName = model.getName().replace(".pte", "");
+    mModelRunner = new ModelRunner(model.getPath(), tokenizerPath, temperature, this);
+    mStatsDump.loadStart = System.nanoTime();
+  }
+
+  @Override
+  public void onModelLoaded(int status) {
+    mStatsDump.loadEnd = System.nanoTime();
+    mStatsDump.loadStatus = status;
+    if (status != 0) {
+      Log.e("LlmBenchmarkRunner", "Loaded failed: " + status);
+      onGenerationStopped();
+      return;
+    }
+    mStatsDump.generateStart = System.nanoTime();
+    mModelRunner.generate(mPrompt);
+  }
+
+  @Override
+  public void onTokenGenerated(String token) {
+    runOnUiThread(
+        () -> {
+          mTextView.append(token);
+        });
+  }
+
+  @Override
+  public void onStats(String stats) {
+    mStatsDump.tokens = stats;
+  }
+
+  @Override
+  public void onGenerationStopped() {
+    mStatsDump.generateEnd = System.nanoTime();
+    runOnUiThread(
+        () -> {
+          mTextView.append(mStatsDump.toString());
+        });
+
+    final BenchmarkMetric.BenchmarkModel benchmarkModel =
+        BenchmarkMetric.extractBackendAndQuantization(mStatsDump.modelName);
+    final List<BenchmarkMetric> results = new ArrayList<>();
+    // The list of metrics we have atm includes:
+    // Load status
+    results.add(new BenchmarkMetric(benchmarkModel, "load_status", mStatsDump.loadStatus, 0));
+    // Model load time
+    results.add(
+        new BenchmarkMetric(
+            benchmarkModel,
+            "model_load_time(ms)",
+            (mStatsDump.loadEnd - mStatsDump.loadStart) * 1e-6,
+            0.0f));
+    // LLM generate time
+    results.add(
+        new BenchmarkMetric(
+            benchmarkModel,
+            "generate_time(ms)",
+            (mStatsDump.generateEnd - mStatsDump.generateStart) * 1e-6,
+            0.0f));
+    // Token per second
+    results.add(
+        new BenchmarkMetric(benchmarkModel, "token_per_sec", extractTPS(mStatsDump.tokens), 0.0f));
+
+    try (FileWriter writer = new FileWriter(getFilesDir() + "/benchmark_results.json")) {
+      Gson gson = new Gson();
+      writer.write(gson.toJson(results));
+    } catch (IOException e) {
+      e.printStackTrace();
+    }
+  }
+
+  private double extractTPS(final String tokens) {
+    final Matcher m = Pattern.compile("\\d+\\.?\\d*").matcher(tokens);
+    if (m.find()) {
+      return Double.parseDouble(m.group());
+    } else {
+      return 0.0f;
+    }
+  }
+}
+
+class BenchmarkMetric {
+  public static class BenchmarkModel {
+    // The model name, i.e. stories110M
+    String name;
+    String backend;
+    String quantization;
+
+    public BenchmarkModel(final String name, final String backend, final String quantization) {
+      this.name = name;
+      this.backend = backend;
+      this.quantization = quantization;
+    }
+  }
+
+  BenchmarkModel benchmarkModel;
+
+  // The metric name, i.e. TPS
+  String metric;
+
+  // The actual value and the option target value
+  double actualValue;
+  double targetValue;
+
+  public static class DeviceInfo {
+    // Let's see which information we want to include here
+    final String device = Build.BRAND;
+    // The phone model and Android release version
+    final String arch = Build.MODEL;
+    final String os = "Android " + Build.VERSION.RELEASE;
+    final long totalMem = new ActivityManager.MemoryInfo().totalMem;
+    final long availMem = new ActivityManager.MemoryInfo().availMem;
+  }
+
+  DeviceInfo deviceInfo = new DeviceInfo();
+
+  public BenchmarkMetric(
+      final BenchmarkModel benchmarkModel,
+      final String metric,
+      final double actualValue,
+      final double targetValue) {
+    this.benchmarkModel = benchmarkModel;
+    this.metric = metric;
+    this.actualValue = actualValue;
+    this.targetValue = targetValue;
+  }
+
+  // TODO (huydhn): Figure out a way to extract the backend and quantization information from
+  // the .pte model itself instead of parsing its name
+  public static BenchmarkMetric.BenchmarkModel extractBackendAndQuantization(final String model) {
+    final Matcher m =
+        Pattern.compile("(?<name>\\w+)_(?<backend>\\w+)_(?<quantization>\\w+)").matcher(model);
+    if (m.matches()) {
+      return new BenchmarkMetric.BenchmarkModel(
+          m.group("name"), m.group("backend"), m.group("quantization"));
+    } else {
+      return new BenchmarkMetric.BenchmarkModel(model, "", "");
+    }
+  }
+}
+
+class StatsDump {
+  int loadStatus;
+  long loadStart;
+  long loadEnd;
+  long generateStart;
+  long generateEnd;
+  String tokens;
+  String modelName;
+
+  @NonNull
+  @Override
+  public String toString() {
+    return "loadStart: "
+        + loadStart
+        + "\nloadEnd: "
+        + loadEnd
+        + "\ngenerateStart: "
+        + generateStart
+        + "\ngenerateEnd: "
+        + generateEnd
+        + "\n"
+        + tokens;
+  }
+}
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/LogsActivity.java b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/LogsActivity.java
new file mode 100644
index 0000000000..7777b275e6
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/LogsActivity.java
@@ -0,0 +1,92 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package com.example.executorchllamademo;
+
+import android.app.AlertDialog;
+import android.content.DialogInterface;
+import android.os.Build;
+import android.os.Bundle;
+import android.widget.ImageButton;
+import android.widget.ListView;
+import androidx.appcompat.app.AppCompatActivity;
+import androidx.core.content.ContextCompat;
+import androidx.core.graphics.Insets;
+import androidx.core.view.ViewCompat;
+import androidx.core.view.WindowInsetsCompat;
+
+public class LogsActivity extends AppCompatActivity {
+
+  private LogsAdapter mLogsAdapter;
+
+  @Override
+  protected void onCreate(Bundle savedInstanceState) {
+    super.onCreate(savedInstanceState);
+    setContentView(R.layout.activity_logs);
+    if (Build.VERSION.SDK_INT >= 21) {
+      getWindow().setStatusBarColor(ContextCompat.getColor(this, R.color.status_bar));
+      getWindow().setNavigationBarColor(ContextCompat.getColor(this, R.color.nav_bar));
+    }
+    ViewCompat.setOnApplyWindowInsetsListener(
+        requireViewById(R.id.main),
+        (v, insets) -> {
+          Insets systemBars = insets.getInsets(WindowInsetsCompat.Type.systemBars());
+          v.setPadding(systemBars.left, systemBars.top, systemBars.right, systemBars.bottom);
+          return insets;
+        });
+
+    setupLogs();
+    setupClearLogsButton();
+  }
+
+  @Override
+  public void onResume() {
+    super.onResume();
+    mLogsAdapter.clear();
+    mLogsAdapter.addAll(ETLogging.getInstance().getLogs());
+    mLogsAdapter.notifyDataSetChanged();
+  }
+
+  private void setupLogs() {
+    ListView mLogsListView = requireViewById(R.id.logsListView);
+    mLogsAdapter = new LogsAdapter(this, R.layout.logs_message);
+
+    mLogsListView.setAdapter(mLogsAdapter);
+    mLogsAdapter.addAll(ETLogging.getInstance().getLogs());
+    mLogsAdapter.notifyDataSetChanged();
+  }
+
+  private void setupClearLogsButton() {
+    ImageButton clearLogsButton = requireViewById(R.id.clearLogsButton);
+    clearLogsButton.setOnClickListener(
+        view -> {
+          new AlertDialog.Builder(this)
+              .setTitle("Delete Logs History")
+              .setMessage("Do you really want to delete logs history?")
+              .setIcon(android.R.drawable.ic_dialog_alert)
+              .setPositiveButton(
+                  android.R.string.yes,
+                  new DialogInterface.OnClickListener() {
+                    public void onClick(DialogInterface dialog, int whichButton) {
+                      // Clear the messageAdapter and sharedPreference
+                      ETLogging.getInstance().clearLogs();
+                      mLogsAdapter.clear();
+                      mLogsAdapter.notifyDataSetChanged();
+                    }
+                  })
+              .setNegativeButton(android.R.string.no, null)
+              .show();
+        });
+  }
+
+  @Override
+  protected void onDestroy() {
+    super.onDestroy();
+    ETLogging.getInstance().saveLogs();
+  }
+}
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/LogsAdapter.java b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/LogsAdapter.java
new file mode 100644
index 0000000000..76c6a1aa1b
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/LogsAdapter.java
@@ -0,0 +1,45 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package com.example.executorchllamademo;
+
+import android.view.LayoutInflater;
+import android.view.View;
+import android.view.ViewGroup;
+import android.widget.ArrayAdapter;
+import android.widget.TextView;
+import androidx.annotation.NonNull;
+import java.util.Objects;
+
+public class LogsAdapter extends ArrayAdapter<AppLog> {
+  public LogsAdapter(android.content.Context context, int resource) {
+    super(context, resource);
+  }
+
+  static class ViewHolder {
+    private TextView logTextView;
+  }
+
+  @NonNull
+  @Override
+  public View getView(int position, View convertView, @NonNull ViewGroup parent) {
+    ViewHolder mViewHolder = null;
+
+    String logMessage = Objects.requireNonNull(getItem(position)).getFormattedLog();
+
+    if (convertView == null || convertView.getTag() == null) {
+      mViewHolder = new ViewHolder();
+      convertView = LayoutInflater.from(getContext()).inflate(R.layout.logs_message, parent, false);
+      mViewHolder.logTextView = convertView.requireViewById(R.id.logsTextView);
+    } else {
+      mViewHolder = (ViewHolder) convertView.getTag();
+    }
+    mViewHolder.logTextView.setText(logMessage);
+    return convertView;
+  }
+}
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/MainActivity.java b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/MainActivity.java
index 2c94c242ed..f5e50845ec 100644
--- a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/MainActivity.java
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/MainActivity.java
@@ -8,37 +8,91 @@
 
 package com.example.executorchllamademo;
 
-import android.app.Activity;
+import android.Manifest;
 import android.app.ActivityManager;
 import android.app.AlertDialog;
-import android.content.Context;
+import android.content.ContentResolver;
+import android.content.ContentValues;
+import android.content.Intent;
+import android.content.pm.PackageManager;
+import android.net.Uri;
+import android.os.Build;
 import android.os.Bundle;
+import android.os.Handler;
+import android.os.Looper;
+import android.os.Process;
+import android.provider.MediaStore;
 import android.system.ErrnoException;
 import android.system.Os;
-import android.widget.Button;
+import android.util.Log;
+import android.view.View;
 import android.widget.EditText;
 import android.widget.ImageButton;
+import android.widget.ImageView;
+import android.widget.LinearLayout;
 import android.widget.ListView;
-import java.io.File;
+import android.widget.TextView;
+import android.widget.Toast;
+import androidx.activity.result.ActivityResultLauncher;
+import androidx.activity.result.PickVisualMediaRequest;
+import androidx.activity.result.contract.ActivityResultContracts;
+import androidx.annotation.NonNull;
+import androidx.appcompat.app.AppCompatActivity;
+import androidx.constraintlayout.widget.ConstraintLayout;
+import androidx.core.app.ActivityCompat;
+import androidx.core.content.ContextCompat;
+import com.google.gson.Gson;
+import com.google.gson.reflect.TypeToken;
+import java.lang.reflect.Type;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.concurrent.Executor;
+import java.util.concurrent.Executors;
 import org.pytorch.executorch.LlamaCallback;
 import org.pytorch.executorch.LlamaModule;
 
-public class MainActivity extends Activity implements Runnable, LlamaCallback {
+public class MainActivity extends AppCompatActivity implements Runnable, LlamaCallback {
   private EditText mEditTextMessage;
-  private Button mSendButton;
-  private ImageButton mModelButton;
+  private ImageButton mSendButton;
+  private ImageButton mGalleryButton;
+  private ImageButton mCameraButton;
   private ListView mMessagesView;
   private MessageAdapter mMessageAdapter;
   private LlamaModule mModule = null;
   private Message mResultMessage = null;
-
-  private String mModelFilePath = "";
-  private String mTokenizerFilePath = "";
+  private ImageButton mSettingsButton;
+  private TextView mMemoryView;
+  private ActivityResultLauncher<PickVisualMediaRequest> mPickGallery;
+  private ActivityResultLauncher<Uri> mCameraRoll;
+  private List<Uri> mSelectedImageUri;
+  private ConstraintLayout mMediaPreviewConstraintLayout;
+  private LinearLayout mAddMediaLayout;
+  private static final int MAX_NUM_OF_IMAGES = 5;
+  private static final int REQUEST_IMAGE_CAPTURE = 1;
+  private Uri cameraImageUri;
+  private DemoSharedPreferences mDemoSharedPreferences;
+  private SettingsFields mCurrentSettingsFields;
+  private Handler mMemoryUpdateHandler;
+  private Runnable memoryUpdater;
+  private int promptID = 0;
+  private long startPos = 0;
+  private static final int CONVERSATION_HISTORY_MESSAGE_LOOKBACK = 2;
+  private Executor executor;
 
   @Override
   public void onResult(String result) {
-    mResultMessage.appendText(result);
-    run();
+    if (result.equals(PromptFormat.getStopToken(mCurrentSettingsFields.getModelType()))) {
+      return;
+    }
+    if (result.equals("\n\n") || result.equals("\n")) {
+      if (!mResultMessage.getText().isEmpty()) {
+        mResultMessage.appendText(result);
+        run();
+      }
+    } else {
+      mResultMessage.appendText(result);
+      run();
+    }
   }
 
   @Override
@@ -52,23 +106,13 @@ public void onStats(float tps) {
         });
   }
 
-  private static String[] listLocalFile(String path, String suffix) {
-    File directory = new File(path);
-    if (directory.exists() && directory.isDirectory()) {
-      File[] files = directory.listFiles((dir, name) -> name.toLowerCase().endsWith(suffix));
-      String[] result = new String[files.length];
-      for (int i = 0; i < files.length; i++) {
-        if (files[i].isFile() && files[i].getName().endsWith(suffix)) {
-          result[i] = files[i].getAbsolutePath();
-        }
-      }
-      return result;
+  private void setLocalModel(String modelPath, String tokenizerPath, float temperature) {
+    if (mModule != null) {
+      mModule.resetNative();
+      mModule = null;
     }
-    return new String[0];
-  }
-
-  private void setLocalModel(String modelPath, String tokenizerPath) {
-    Message modelLoadingMessage = new Message("Loading model...", false);
+    Message modelLoadingMessage = new Message("Loading model...", false, MessageType.SYSTEM, 0);
+    ETLogging.getInstance().log("Loading model " + modelPath + " with tokenizer " + tokenizerPath);
     runOnUiThread(
         () -> {
           mSendButton.setEnabled(false);
@@ -76,9 +120,20 @@ private void setLocalModel(String modelPath, String tokenizerPath) {
           mMessageAdapter.notifyDataSetChanged();
         });
     long runStartTime = System.currentTimeMillis();
-    mModule = new LlamaModule(modelPath, tokenizerPath, 0.8f);
+    mModule =
+        new LlamaModule(
+            ModelUtils.getModelCategory(mCurrentSettingsFields.getModelType()),
+            modelPath,
+            tokenizerPath,
+            temperature);
     int loadResult = mModule.load();
+    long loadDuration = System.currentTimeMillis() - runStartTime;
+    String modelLoadError = "";
+    String modelInfo = "";
     if (loadResult != 0) {
+      // TODO: Map the error code to a reason to let the user know why model loading failed
+      modelInfo = "*Model could not load (Error Code: " + loadResult + ")*" + "\n";
+      loadDuration = 0;
       AlertDialog.Builder builder = new AlertDialog.Builder(this);
       builder.setTitle("Load failed: " + loadResult);
       runOnUiThread(
@@ -86,18 +141,43 @@ private void setLocalModel(String modelPath, String tokenizerPath) {
             AlertDialog alert = builder.create();
             alert.show();
           });
+    } else {
+      String[] segments = modelPath.split("/");
+      String pteName = segments[segments.length - 1];
+      segments = tokenizerPath.split("/");
+      String tokenizerName = segments[segments.length - 1];
+      modelInfo =
+          "Successfully loaded model. "
+              + pteName
+              + " and tokenizer "
+              + tokenizerName
+              + " in "
+              + (float) loadDuration / 1000
+              + " sec."
+              + " You can send text or image for inference";
+
+      if (mCurrentSettingsFields.getModelType() == ModelType.LLAVA_1_5) {
+        ETLogging.getInstance().log("Llava start prefill prompt");
+        startPos = mModule.prefillPrompt(PromptFormat.getLlavaPresetPrompt(), 0, 1, 0);
+        ETLogging.getInstance().log("Llava completes prefill prompt");
+      }
     }
 
-    long loadDuration = System.currentTimeMillis() - runStartTime;
-    String modelInfo =
-        "Model path: "
+    Message modelLoadedMessage = new Message(modelInfo, false, MessageType.SYSTEM, 0);
+
+    String modelLoggingInfo =
+        modelLoadError
+            + "Model path: "
             + modelPath
             + "\nTokenizer path: "
             + tokenizerPath
+            + "\nTemperature: "
+            + temperature
             + "\nModel loaded time: "
             + loadDuration
             + " ms";
-    Message modelLoadedMessage = new Message(modelInfo, false);
+    ETLogging.getInstance().log("Load complete. " + modelLoggingInfo);
+
     runOnUiThread(
         () -> {
           mSendButton.setEnabled(true);
@@ -107,55 +187,31 @@ private void setLocalModel(String modelPath, String tokenizerPath) {
         });
   }
 
-  private String memoryInfo() {
-    final ActivityManager am = (ActivityManager) getSystemService(Context.ACTIVITY_SERVICE);
-    ActivityManager.MemoryInfo memInfo = new ActivityManager.MemoryInfo();
-    am.getMemoryInfo(memInfo);
-    return "Total RAM: "
-        + Math.floorDiv(memInfo.totalMem, 1000000)
-        + " MB. Available RAM: "
-        + Math.floorDiv(memInfo.availMem, 1000000)
-        + " MB.";
-  }
-
-  private void modelDialog() {
-    String[] pteFiles = listLocalFile("/data/local/tmp/llama/", ".pte");
-    String[] binFiles = listLocalFile("/data/local/tmp/llama/", ".bin");
-    String[] modelFiles = listLocalFile("/data/local/tmp/llama/", ".model");
-    String[] tokenizerFiles = new String[binFiles.length + modelFiles.length];
-    System.arraycopy(binFiles, 0, tokenizerFiles, 0, binFiles.length);
-    System.arraycopy(modelFiles, 0, tokenizerFiles, binFiles.length, modelFiles.length);
-    AlertDialog.Builder modelPathBuilder = new AlertDialog.Builder(this);
-    modelPathBuilder.setTitle("Select model path");
-    AlertDialog.Builder tokenizerPathBuilder = new AlertDialog.Builder(this);
-    tokenizerPathBuilder.setTitle("Select tokenizer path");
-    modelPathBuilder.setSingleChoiceItems(
-        pteFiles,
-        -1,
-        (dialog, item) -> {
-          mModelFilePath = pteFiles[item];
-          mEditTextMessage.setText("");
-          dialog.dismiss();
-          tokenizerPathBuilder.create().show();
-        });
+  private void loadLocalModelAndParameters(
+      String modelFilePath, String tokenizerFilePath, float temperature) {
+    Runnable runnable =
+        new Runnable() {
+          @Override
+          public void run() {
+            setLocalModel(modelFilePath, tokenizerFilePath, temperature);
+          }
+        };
+    new Thread(runnable).start();
+  }
 
-    tokenizerPathBuilder.setSingleChoiceItems(
-        tokenizerFiles,
-        -1,
-        (dialog, item) -> {
-          mTokenizerFilePath = tokenizerFiles[item];
-          Runnable runnable =
-              new Runnable() {
-                @Override
-                public void run() {
-                  setLocalModel(mModelFilePath, mTokenizerFilePath);
-                }
-              };
-          new Thread(runnable).start();
-          dialog.dismiss();
-        });
+  private void populateExistingMessages(String existingMsgJSON) {
+    Gson gson = new Gson();
+    Type type = new TypeToken<ArrayList<Message>>() {}.getType();
+    ArrayList<Message> savedMessages = gson.fromJson(existingMsgJSON, type);
+    for (Message msg : savedMessages) {
+      mMessageAdapter.add(msg);
+    }
+    mMessageAdapter.notifyDataSetChanged();
+  }
+
+  private int setPromptID() {
 
-    modelPathBuilder.create().show();
+    return mMessageAdapter.getMaxPromptID() + 1;
   }
 
   @Override
@@ -163,33 +219,436 @@ protected void onCreate(Bundle savedInstanceState) {
     super.onCreate(savedInstanceState);
     setContentView(R.layout.activity_main);
 
+    if (Build.VERSION.SDK_INT >= 21) {
+      getWindow().setStatusBarColor(ContextCompat.getColor(this, R.color.status_bar));
+      getWindow().setNavigationBarColor(ContextCompat.getColor(this, R.color.nav_bar));
+    }
+
     try {
       Os.setenv("ADSP_LIBRARY_PATH", getApplicationInfo().nativeLibraryDir, true);
     } catch (ErrnoException e) {
       finish();
     }
 
-    mEditTextMessage = findViewById(R.id.editTextMessage);
-    mSendButton = findViewById(R.id.sendButton);
+    mEditTextMessage = requireViewById(R.id.editTextMessage);
+    mSendButton = requireViewById(R.id.sendButton);
     mSendButton.setEnabled(false);
-    mModelButton = findViewById(R.id.modelButton);
-    mMessagesView = findViewById(R.id.messages_view);
-    mMessageAdapter = new MessageAdapter(this, R.layout.sent_message);
+    mMessagesView = requireViewById(R.id.messages_view);
+    mMessageAdapter = new MessageAdapter(this, R.layout.sent_message, new ArrayList<Message>());
     mMessagesView.setAdapter(mMessageAdapter);
-    mModelButton.setOnClickListener(
+    mDemoSharedPreferences = new DemoSharedPreferences(this.getApplicationContext());
+    String existingMsgJSON = mDemoSharedPreferences.getSavedMessages();
+    if (!existingMsgJSON.isEmpty()) {
+      populateExistingMessages(existingMsgJSON);
+      promptID = setPromptID();
+    }
+    mSettingsButton = requireViewById(R.id.settings);
+    mSettingsButton.setOnClickListener(
         view -> {
-          mModule.stop();
-          mMessageAdapter.clear();
-          mMessageAdapter.notifyDataSetChanged();
-          modelDialog();
+          Intent myIntent = new Intent(MainActivity.this, SettingsActivity.class);
+          MainActivity.this.startActivity(myIntent);
         });
 
+    mCurrentSettingsFields = new SettingsFields();
+    mMemoryUpdateHandler = new Handler(Looper.getMainLooper());
     onModelRunStopped();
-    modelDialog();
+    setupMediaButton();
+    setupGalleryPicker();
+    setupCameraRoll();
+    startMemoryUpdate();
+    setupShowLogsButton();
+    executor = Executors.newSingleThreadExecutor();
+  }
+
+  @Override
+  protected void onPause() {
+    super.onPause();
+    mDemoSharedPreferences.addMessages(mMessageAdapter);
+  }
+
+  @Override
+  protected void onResume() {
+    super.onResume();
+    // Check for if settings parameters have changed
+    Gson gson = new Gson();
+    String settingsFieldsJSON = mDemoSharedPreferences.getSettings();
+    if (!settingsFieldsJSON.isEmpty()) {
+      SettingsFields updatedSettingsFields =
+          gson.fromJson(settingsFieldsJSON, SettingsFields.class);
+      if (updatedSettingsFields == null) {
+        // Added this check, because gson.fromJson can return null
+        askUserToSelectModel();
+        return;
+      }
+      boolean isUpdated = !mCurrentSettingsFields.equals(updatedSettingsFields);
+      boolean isLoadModel = updatedSettingsFields.getIsLoadModel();
+      if (isUpdated) {
+        if (isLoadModel) {
+          // If users change the model file, but not pressing loadModelButton, we won't load the new
+          // model
+          checkForUpdateAndReloadModel(updatedSettingsFields);
+        } else {
+          askUserToSelectModel();
+        }
+        checkForClearChatHistory(updatedSettingsFields);
+        // Update current to point to the latest
+        mCurrentSettingsFields = new SettingsFields(updatedSettingsFields);
+      }
+    } else {
+      askUserToSelectModel();
+    }
+  }
+
+  private void checkForClearChatHistory(SettingsFields updatedSettingsFields) {
+    if (updatedSettingsFields.getIsClearChatHistory()) {
+      mMessageAdapter.clear();
+      mMessageAdapter.notifyDataSetChanged();
+      mDemoSharedPreferences.removeExistingMessages();
+      // changing to false since chat history has been cleared.
+      updatedSettingsFields.saveIsClearChatHistory(false);
+      mDemoSharedPreferences.addSettings(updatedSettingsFields);
+    }
+  }
+
+  private void checkForUpdateAndReloadModel(SettingsFields updatedSettingsFields) {
+    // TODO need to add 'load model' in settings and queue loading based on that
+    String modelPath = updatedSettingsFields.getModelFilePath();
+    String tokenizerPath = updatedSettingsFields.getTokenizerFilePath();
+    double temperature = updatedSettingsFields.getTemperature();
+    if (!modelPath.isEmpty() && !tokenizerPath.isEmpty()) {
+      if (updatedSettingsFields.getIsLoadModel()
+          || !modelPath.equals(mCurrentSettingsFields.getModelFilePath())
+          || !tokenizerPath.equals(mCurrentSettingsFields.getTokenizerFilePath())
+          || temperature != mCurrentSettingsFields.getTemperature()) {
+        loadLocalModelAndParameters(
+            updatedSettingsFields.getModelFilePath(),
+            updatedSettingsFields.getTokenizerFilePath(),
+            (float) updatedSettingsFields.getTemperature());
+        updatedSettingsFields.saveLoadModelAction(false);
+        mDemoSharedPreferences.addSettings(updatedSettingsFields);
+      }
+    } else {
+      askUserToSelectModel();
+    }
+  }
+
+  private void askUserToSelectModel() {
+    String askLoadModel =
+        "To get started, select your desired model and tokenizer " + "from the top right corner";
+    Message askLoadModelMessage = new Message(askLoadModel, false, MessageType.SYSTEM, 0);
+    ETLogging.getInstance().log(askLoadModel);
+    runOnUiThread(
+        () -> {
+          mMessageAdapter.add(askLoadModelMessage);
+          mMessageAdapter.notifyDataSetChanged();
+        });
+  }
+
+  private void setupShowLogsButton() {
+    ImageButton showLogsButton = requireViewById(R.id.showLogsButton);
+    showLogsButton.setOnClickListener(
+        view -> {
+          Intent myIntent = new Intent(MainActivity.this, LogsActivity.class);
+          MainActivity.this.startActivity(myIntent);
+        });
+  }
+
+  private void setupMediaButton() {
+    mAddMediaLayout = requireViewById(R.id.addMediaLayout);
+    mAddMediaLayout.setVisibility(View.GONE); // We hide this initially
+
+    ImageButton addMediaButton = requireViewById(R.id.addMediaButton);
+    addMediaButton.setOnClickListener(
+        view -> {
+          mAddMediaLayout.setVisibility(View.VISIBLE);
+        });
+
+    mGalleryButton = requireViewById(R.id.galleryButton);
+    mGalleryButton.setOnClickListener(
+        view -> {
+          // Launch the photo picker and let the user choose only images.
+          mPickGallery.launch(
+              new PickVisualMediaRequest.Builder()
+                  .setMediaType(ActivityResultContracts.PickVisualMedia.ImageOnly.INSTANCE)
+                  .build());
+        });
+    mCameraButton = requireViewById(R.id.cameraButton);
+    mCameraButton.setOnClickListener(
+        view -> {
+          Log.d("CameraRoll", "Check permission");
+          if (ContextCompat.checkSelfPermission(MainActivity.this, Manifest.permission.CAMERA)
+              != PackageManager.PERMISSION_GRANTED) {
+            ActivityCompat.requestPermissions(
+                MainActivity.this,
+                new String[] {Manifest.permission.CAMERA},
+                REQUEST_IMAGE_CAPTURE);
+          } else {
+            launchCamera();
+          }
+        });
+  }
+
+  private void setupCameraRoll() {
+    // Registers a camera roll activity launcher.
+    mCameraRoll =
+        registerForActivityResult(
+            new ActivityResultContracts.TakePicture(),
+            result -> {
+              if (result && cameraImageUri != null) {
+                Log.d("CameraRoll", "Photo saved to uri: " + cameraImageUri);
+                mAddMediaLayout.setVisibility(View.GONE);
+                List<Uri> uris = new ArrayList<>();
+                uris.add(cameraImageUri);
+                showMediaPreview(uris);
+              } else {
+                // Delete the temp image file based on the url since the photo is not successfully
+                // taken
+                if (cameraImageUri != null) {
+                  ContentResolver contentResolver = MainActivity.this.getContentResolver();
+                  contentResolver.delete(cameraImageUri, null, null);
+                  Log.d("CameraRoll", "No photo taken. Delete temp uri");
+                }
+              }
+            });
+    mMediaPreviewConstraintLayout = requireViewById(R.id.mediaPreviewConstraintLayout);
+    ImageButton mediaPreviewCloseButton = requireViewById(R.id.mediaPreviewCloseButton);
+    mediaPreviewCloseButton.setOnClickListener(
+        view -> {
+          mMediaPreviewConstraintLayout.setVisibility(View.GONE);
+          mSelectedImageUri = null;
+        });
+
+    ImageButton addMoreImageButton = requireViewById(R.id.addMoreImageButton);
+    addMoreImageButton.setOnClickListener(
+        view -> {
+          Log.d("addMore", "clicked");
+          mMediaPreviewConstraintLayout.setVisibility(View.GONE);
+          // Direct user to select type of input
+          mCameraButton.callOnClick();
+        });
+  }
+
+  private String updateMemoryUsage() {
+    ActivityManager.MemoryInfo memoryInfo = new ActivityManager.MemoryInfo();
+    ActivityManager activityManager = (ActivityManager) getSystemService(ACTIVITY_SERVICE);
+    if (activityManager == null) {
+      return "---";
+    }
+    activityManager.getMemoryInfo(memoryInfo);
+    long totalMem = memoryInfo.totalMem / (1024 * 1024);
+    long availableMem = memoryInfo.availMem / (1024 * 1024);
+    long usedMem = totalMem - availableMem;
+    return usedMem + "MB";
+  }
+
+  private void startMemoryUpdate() {
+    mMemoryView = requireViewById(R.id.ram_usage_live);
+    memoryUpdater =
+        new Runnable() {
+          @Override
+          public void run() {
+            mMemoryView.setText(updateMemoryUsage());
+            mMemoryUpdateHandler.postDelayed(this, 1000);
+          }
+        };
+    mMemoryUpdateHandler.post(memoryUpdater);
+  }
+
+  @Override
+  public void onRequestPermissionsResult(
+      int requestCode, @NonNull String[] permissions, @NonNull int[] grantResults) {
+    super.onRequestPermissionsResult(requestCode, permissions, grantResults);
+    if (requestCode == REQUEST_IMAGE_CAPTURE && grantResults.length != 0) {
+      if (grantResults[0] == PackageManager.PERMISSION_GRANTED) {
+        launchCamera();
+      } else if (grantResults[0] == PackageManager.PERMISSION_DENIED) {
+        Log.d("CameraRoll", "Permission denied");
+      }
+    }
+  }
+
+  private void launchCamera() {
+    ContentValues values = new ContentValues();
+    values.put(MediaStore.Images.Media.TITLE, "New Picture");
+    values.put(MediaStore.Images.Media.DESCRIPTION, "From Camera");
+    values.put(MediaStore.Images.Media.RELATIVE_PATH, "DCIM/Camera/");
+    cameraImageUri =
+        MainActivity.this
+            .getContentResolver()
+            .insert(MediaStore.Images.Media.EXTERNAL_CONTENT_URI, values);
+    mCameraRoll.launch(cameraImageUri);
+  }
+
+  private void setupGalleryPicker() {
+    // Registers a photo picker activity launcher in single-select mode.
+    mPickGallery =
+        registerForActivityResult(
+            new ActivityResultContracts.PickMultipleVisualMedia(MAX_NUM_OF_IMAGES),
+            uris -> {
+              if (!uris.isEmpty()) {
+                Log.d("PhotoPicker", "Selected URIs: " + uris);
+                mAddMediaLayout.setVisibility(View.GONE);
+                for (Uri uri : uris) {
+                  MainActivity.this
+                      .getContentResolver()
+                      .takePersistableUriPermission(uri, Intent.FLAG_GRANT_READ_URI_PERMISSION);
+                }
+                showMediaPreview(uris);
+              } else {
+                Log.d("PhotoPicker", "No media selected");
+              }
+            });
+
+    mMediaPreviewConstraintLayout = requireViewById(R.id.mediaPreviewConstraintLayout);
+    ImageButton mediaPreviewCloseButton = requireViewById(R.id.mediaPreviewCloseButton);
+    mediaPreviewCloseButton.setOnClickListener(
+        view -> {
+          mMediaPreviewConstraintLayout.setVisibility(View.GONE);
+          mSelectedImageUri = null;
+        });
+
+    ImageButton addMoreImageButton = requireViewById(R.id.addMoreImageButton);
+    addMoreImageButton.setOnClickListener(
+        view -> {
+          Log.d("addMore", "clicked");
+          mMediaPreviewConstraintLayout.setVisibility(View.GONE);
+          mGalleryButton.callOnClick();
+        });
+  }
+
+  private List<ETImage> getProcessedImagesForModel(List<Uri> uris) {
+    List<ETImage> imageList = new ArrayList<>();
+    if (uris != null) {
+      uris.forEach(
+          (uri) -> {
+            imageList.add(new ETImage(this.getContentResolver(), uri));
+          });
+    }
+    return imageList;
+  }
+
+  private void showMediaPreview(List<Uri> uris) {
+    if (mSelectedImageUri == null) {
+      mSelectedImageUri = uris;
+    } else {
+      mSelectedImageUri.addAll(uris);
+    }
+
+    if (mSelectedImageUri.size() > MAX_NUM_OF_IMAGES) {
+      mSelectedImageUri = mSelectedImageUri.subList(0, MAX_NUM_OF_IMAGES);
+      Toast.makeText(
+              this, "Only max " + MAX_NUM_OF_IMAGES + " images are allowed", Toast.LENGTH_SHORT)
+          .show();
+    }
+    Log.d("mSelectedImageUri", mSelectedImageUri.size() + " " + mSelectedImageUri);
+
+    mMediaPreviewConstraintLayout.setVisibility(View.VISIBLE);
+
+    List<ImageView> imageViews = new ArrayList<ImageView>();
+
+    // Pre-populate all the image views that are available from the layout (currently max 5)
+    imageViews.add(requireViewById(R.id.mediaPreviewImageView1));
+    imageViews.add(requireViewById(R.id.mediaPreviewImageView2));
+    imageViews.add(requireViewById(R.id.mediaPreviewImageView3));
+    imageViews.add(requireViewById(R.id.mediaPreviewImageView4));
+    imageViews.add(requireViewById(R.id.mediaPreviewImageView5));
+
+    // Hide all the image views (reset state)
+    for (int i = 0; i < imageViews.size(); i++) {
+      imageViews.get(i).setVisibility(View.GONE);
+    }
+
+    // Only show/render those that have proper Image URIs
+    for (int i = 0; i < mSelectedImageUri.size(); i++) {
+      imageViews.get(i).setVisibility(View.VISIBLE);
+      imageViews.get(i).setImageURI(mSelectedImageUri.get(i));
+    }
+
+    // For LLava, we want to call prefill_image as soon as an image is selected
+    // Llava only support 1 image for now
+    if (mCurrentSettingsFields.getModelType() == ModelType.LLAVA_1_5) {
+      List<ETImage> processedImageList = getProcessedImagesForModel(mSelectedImageUri);
+      if (!processedImageList.isEmpty()) {
+        mMessageAdapter.add(
+            new Message("Llava - Starting image Prefill.", false, MessageType.SYSTEM, 0));
+        mMessageAdapter.notifyDataSetChanged();
+        Runnable runnable =
+            () -> {
+              Process.setThreadPriority(Process.THREAD_PRIORITY_MORE_FAVORABLE);
+              ETLogging.getInstance().log("Starting runnable prefill image");
+              ETImage img = processedImageList.get(0);
+              ETLogging.getInstance().log("Llava start prefill image");
+              startPos =
+                  mModule.prefillImages(
+                      img.getInts(),
+                      img.getWidth(),
+                      img.getHeight(),
+                      ModelUtils.VISION_MODEL_IMAGE_CHANNELS,
+                      startPos);
+            };
+        executor.execute(runnable);
+      }
+    }
+  }
+
+  private void addSelectedImagesToChatThread(List<Uri> selectedImageUri) {
+    if (selectedImageUri == null) {
+      return;
+    }
+    mMediaPreviewConstraintLayout.setVisibility(View.GONE);
+    for (int i = 0; i < selectedImageUri.size(); i++) {
+      Uri imageURI = selectedImageUri.get(i);
+      Log.d("image uri ", "test " + imageURI.getPath());
+      mMessageAdapter.add(new Message(imageURI.toString(), true, MessageType.IMAGE, 0));
+    }
+    mMessageAdapter.notifyDataSetChanged();
+  }
+
+  private String getConversationHistory() {
+    String conversationHistory = "";
+
+    ArrayList<Message> conversations =
+        mMessageAdapter.getRecentSavedTextMessages(CONVERSATION_HISTORY_MESSAGE_LOOKBACK);
+    if (conversations.isEmpty()) {
+      return conversationHistory;
+    }
+
+    int prevPromptID = conversations.get(0).getPromptID();
+    String conversationFormat =
+        PromptFormat.getConversationFormat(mCurrentSettingsFields.getModelType());
+    String format = conversationFormat;
+    for (int i = 0; i < conversations.size(); i++) {
+      Message conversation = conversations.get(i);
+      int currentPromptID = conversation.getPromptID();
+      if (currentPromptID != prevPromptID) {
+        conversationHistory = conversationHistory + format;
+        format = conversationFormat;
+        prevPromptID = currentPromptID;
+      }
+      if (conversation.getIsSent()) {
+        format = format.replace(PromptFormat.USER_PLACEHOLDER, conversation.getText());
+      } else {
+        format = format.replace(PromptFormat.ASSISTANT_PLACEHOLDER, conversation.getText());
+      }
+    }
+    conversationHistory = conversationHistory + format;
+
+    return conversationHistory;
+  }
+
+  private String getTotalFormattedPrompt(String conversationHistory, String rawPrompt) {
+    if (conversationHistory.isEmpty()) {
+      return mCurrentSettingsFields.getFormattedSystemAndUserPrompt(rawPrompt);
+    }
+
+    return mCurrentSettingsFields.getFormattedSystemPrompt()
+        + conversationHistory
+        + mCurrentSettingsFields.getFormattedUserPrompt(rawPrompt);
   }
 
   private void onModelRunStarted() {
-    mSendButton.setText("Stop");
+    mSendButton.setClickable(false);
+    mSendButton.setImageResource(R.drawable.baseline_stop_24);
     mSendButton.setOnClickListener(
         view -> {
           mModule.stop();
@@ -197,20 +656,31 @@ private void onModelRunStarted() {
   }
 
   private void onModelRunStopped() {
-    setTitle(memoryInfo());
-    mSendButton.setText("Generate");
+    mSendButton.setClickable(true);
+    mSendButton.setImageResource(R.drawable.baseline_send_24);
     mSendButton.setOnClickListener(
         view -> {
-          String prompt = mEditTextMessage.getText().toString();
-          mMessageAdapter.add(new Message(prompt, true));
+          addSelectedImagesToChatThread(mSelectedImageUri);
+          String rawPrompt = mEditTextMessage.getText().toString();
+          // We store raw prompt into message adapter, because we don't want to show the extra
+          // tokens from system prompt
+          mMessageAdapter.add(new Message(rawPrompt, true, MessageType.TEXT, promptID));
           mMessageAdapter.notifyDataSetChanged();
           mEditTextMessage.setText("");
-          mResultMessage = new Message("", false);
+          mResultMessage = new Message("", false, MessageType.TEXT, promptID);
           mMessageAdapter.add(mResultMessage);
+          // Scroll to bottom of the list
+          mMessagesView.smoothScrollToPosition(mMessageAdapter.getCount() - 1);
+          // After images are added to prompt and chat thread, we clear the imageURI list
+          // Note: This has to be done after imageURIs are no longer needed by LlamaModule
+          mSelectedImageUri = null;
+          promptID++;
           Runnable runnable =
               new Runnable() {
                 @Override
                 public void run() {
+                  Process.setThreadPriority(Process.THREAD_PRIORITY_MORE_FAVORABLE);
+                  ETLogging.getInstance().log("starting runnable generate()");
                   runOnUiThread(
                       new Runnable() {
                         @Override
@@ -218,9 +688,28 @@ public void run() {
                           onModelRunStarted();
                         }
                       });
+                  long generateStartTime = System.currentTimeMillis();
+                  if (ModelUtils.getModelCategory(mCurrentSettingsFields.getModelType())
+                      == ModelUtils.VISION_MODEL) {
+                    mModule.generateFromPos(
+                        mCurrentSettingsFields.getFormattedSystemAndUserPrompt(rawPrompt),
+                        ModelUtils.VISION_MODEL_SEQ_LEN,
+                        startPos,
+                        MainActivity.this,
+                        false);
+                  } else {
+                    String finalPrompt =
+                        getTotalFormattedPrompt(getConversationHistory(), rawPrompt);
+                    ETLogging.getInstance().log("Running inference.. prompt=" + finalPrompt);
+                    mModule.generate(
+                        finalPrompt,
+                        (int) (finalPrompt.length() * 0.75) + 64,
+                        MainActivity.this,
+                        false);
+                  }
 
-                  mModule.generate(prompt, MainActivity.this);
-
+                  long generateDuration = System.currentTimeMillis() - generateStartTime;
+                  mResultMessage.setTotalGenerationTime(generateDuration);
                   runOnUiThread(
                       new Runnable() {
                         @Override
@@ -228,9 +717,10 @@ public void run() {
                           onModelRunStopped();
                         }
                       });
+                  ETLogging.getInstance().log("Inference completed");
                 }
               };
-          new Thread(runnable).start();
+          executor.execute(runnable);
         });
     mMessageAdapter.notifyDataSetChanged();
   }
@@ -242,8 +732,27 @@ public void run() {
           @Override
           public void run() {
             mMessageAdapter.notifyDataSetChanged();
-            setTitle(memoryInfo());
           }
         });
   }
+
+  @Override
+  public void onBackPressed() {
+    super.onBackPressed();
+    if (mAddMediaLayout != null && mAddMediaLayout.getVisibility() == View.VISIBLE) {
+      mAddMediaLayout.setVisibility(View.GONE);
+    } else {
+      // Default behavior of back button
+      finish();
+    }
+  }
+
+  @Override
+  protected void onDestroy() {
+    super.onDestroy();
+    mMemoryUpdateHandler.removeCallbacks(memoryUpdater);
+    // This is to cover the case where the app is shutdown when user is on MainActivity but
+    // never clicked on the logsActivity
+    ETLogging.getInstance().saveLogs();
+  }
 }
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/Message.java b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/Message.java
index 81b77b1aba..b2e5380e2a 100644
--- a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/Message.java
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/Message.java
@@ -8,14 +8,50 @@
 
 package com.example.executorchllamademo;
 
+import java.text.SimpleDateFormat;
+import java.util.Date;
+import java.util.Locale;
+
 public class Message {
   private String text;
-  private boolean isSent;
+  private final boolean isSent;
   private float tokensPerSecond;
+  private long totalGenerationTime;
+  private final long timestamp;
+  private final MessageType messageType;
+  private String imagePath;
+  private final int promptID;
+
+  private static final String TIMESTAMP_FORMAT = "hh:mm a"; // example: 2:23 PM
 
-  public Message(String text, boolean isSent) {
-    this.text = text;
+  public Message(String text, boolean isSent, MessageType messageType, int promptID) {
     this.isSent = isSent;
+    this.messageType = messageType;
+    this.promptID = promptID;
+
+    if (messageType == MessageType.IMAGE) {
+      this.imagePath = text;
+    } else {
+      this.text = text;
+    }
+
+    if (messageType != MessageType.SYSTEM) {
+      this.timestamp = System.currentTimeMillis();
+    } else {
+      this.timestamp = (long) 0;
+    }
+  }
+
+  public int getPromptID() {
+    return promptID;
+  }
+
+  public MessageType getMessageType() {
+    return messageType;
+  }
+
+  public String getImagePath() {
+    return imagePath;
   }
 
   public String getText() {
@@ -34,7 +70,25 @@ public void setTokensPerSecond(float tokensPerSecond) {
     this.tokensPerSecond = tokensPerSecond;
   }
 
+  public void setTotalGenerationTime(long totalGenerationTime) {
+    this.totalGenerationTime = totalGenerationTime;
+  }
+
   public float getTokensPerSecond() {
     return tokensPerSecond;
   }
+
+  public long getTotalGenerationTime() {
+    return totalGenerationTime;
+  }
+
+  public long getTimestamp() {
+    return timestamp;
+  }
+
+  public String getFormattedTimestamp() {
+    SimpleDateFormat formatter = new SimpleDateFormat(TIMESTAMP_FORMAT, Locale.getDefault());
+    Date date = new Date(timestamp);
+    return formatter.format(date);
+  }
 }
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/MessageAdapter.java b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/MessageAdapter.java
index 656da1967d..2538c852e4 100644
--- a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/MessageAdapter.java
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/MessageAdapter.java
@@ -8,33 +8,124 @@
 
 package com.example.executorchllamademo;
 
+import android.net.Uri;
 import android.view.LayoutInflater;
 import android.view.View;
 import android.view.ViewGroup;
 import android.widget.ArrayAdapter;
+import android.widget.ImageView;
 import android.widget.TextView;
+import java.util.ArrayList;
+import java.util.Collections;
 
 public class MessageAdapter extends ArrayAdapter<Message> {
-  public MessageAdapter(android.content.Context context, int resource) {
+
+  private final ArrayList<Message> savedMessages;
+
+  public MessageAdapter(
+      android.content.Context context, int resource, ArrayList<Message> savedMessages) {
     super(context, resource);
+    this.savedMessages = savedMessages;
   }
 
   @Override
   public View getView(int position, View convertView, ViewGroup parent) {
     Message currentMessage = getItem(position);
+    int layoutIdForListItem;
 
-    int layoutIdForListItem =
-        currentMessage.getIsSent() ? R.layout.sent_message : R.layout.received_message;
+    if (currentMessage.getMessageType() == MessageType.SYSTEM) {
+      layoutIdForListItem = R.layout.system_message;
+    } else {
+      layoutIdForListItem =
+          currentMessage.getIsSent() ? R.layout.sent_message : R.layout.received_message;
+    }
     View listItemView =
         LayoutInflater.from(getContext()).inflate(layoutIdForListItem, parent, false);
-    TextView messageTextView = listItemView.findViewById(R.id.message_text);
-    messageTextView.setText(currentMessage.getText());
+    if (currentMessage.getMessageType() == MessageType.IMAGE) {
+      ImageView messageImageView = listItemView.requireViewById(R.id.message_image);
+      messageImageView.setImageURI(Uri.parse(currentMessage.getImagePath()));
+      TextView messageTextView = listItemView.requireViewById(R.id.message_text);
+      messageTextView.setVisibility(View.GONE);
+    } else {
+      TextView messageTextView = listItemView.requireViewById(R.id.message_text);
+      messageTextView.setText(currentMessage.getText());
+    }
 
+    String metrics = "";
+    TextView tokensView;
     if (currentMessage.getTokensPerSecond() > 0) {
-      TextView tokensView = listItemView.findViewById(R.id.tokens_per_second);
-      tokensView.setText("" + currentMessage.getTokensPerSecond() + " t/s");
+      metrics = String.format("%.2f", currentMessage.getTokensPerSecond()) + "t/s  ";
+    }
+
+    if (currentMessage.getTotalGenerationTime() > 0) {
+      metrics = metrics + (float) currentMessage.getTotalGenerationTime() / 1000 + "s  ";
+    }
+
+    if (currentMessage.getTokensPerSecond() > 0 || currentMessage.getTotalGenerationTime() > 0) {
+      tokensView = listItemView.requireViewById(R.id.generation_metrics);
+      tokensView.setText(metrics);
+      TextView separatorView = listItemView.requireViewById(R.id.bar);
+      separatorView.setVisibility(View.VISIBLE);
+    }
+
+    if (currentMessage.getTimestamp() > 0) {
+      TextView timestampView = listItemView.requireViewById(R.id.timestamp);
+      timestampView.setText(currentMessage.getFormattedTimestamp());
     }
 
     return listItemView;
   }
+
+  @Override
+  public void add(Message msg) {
+    super.add(msg);
+    savedMessages.add(msg);
+  }
+
+  @Override
+  public void clear() {
+    super.clear();
+    savedMessages.clear();
+  }
+
+  public ArrayList<Message> getSavedMessages() {
+    return savedMessages;
+  }
+
+  public ArrayList<Message> getRecentSavedTextMessages(int numOfLatestPromptMessages) {
+    ArrayList<Message> recentMessages = new ArrayList<Message>();
+    int lastIndex = savedMessages.size() - 1;
+    Message messageToAdd = savedMessages.get(lastIndex);
+    int oldPromptID = messageToAdd.getPromptID();
+
+    for (int i = 0; i < savedMessages.size(); i++) {
+      messageToAdd = savedMessages.get(lastIndex - i);
+      if (messageToAdd.getMessageType() != MessageType.SYSTEM) {
+        if (messageToAdd.getPromptID() != oldPromptID) {
+          numOfLatestPromptMessages--;
+          oldPromptID = messageToAdd.getPromptID();
+        }
+        if (numOfLatestPromptMessages > 0) {
+          if (messageToAdd.getMessageType() == MessageType.TEXT) {
+            recentMessages.add(messageToAdd);
+          }
+        } else {
+          break;
+        }
+      }
+    }
+
+    // To place the order in [input1, output1, input2, output2...]
+    Collections.reverse(recentMessages);
+    return recentMessages;
+  }
+
+  public int getMaxPromptID() {
+    int maxPromptID = -1;
+    for (Message msg : savedMessages) {
+
+      maxPromptID = Math.max(msg.getPromptID(), maxPromptID);
+    }
+    return maxPromptID;
+  }
 }
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/MessageType.java b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/MessageType.java
new file mode 100644
index 0000000000..6042acb572
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/MessageType.java
@@ -0,0 +1,15 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package com.example.executorchllamademo;
+
+public enum MessageType {
+  TEXT,
+  IMAGE,
+  SYSTEM
+}
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/ModelRunner.java b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/ModelRunner.java
new file mode 100644
index 0000000000..4dc32d1475
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/ModelRunner.java
@@ -0,0 +1,98 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package com.example.executorchllamademo;
+
+import android.os.Handler;
+import android.os.HandlerThread;
+import android.os.Looper;
+import android.os.Message;
+import androidx.annotation.NonNull;
+import org.pytorch.executorch.LlamaCallback;
+import org.pytorch.executorch.LlamaModule;
+
+/** A helper class to handle all model running logic within this class. */
+public class ModelRunner implements LlamaCallback {
+  LlamaModule mModule = null;
+
+  String mModelFilePath = "";
+  String mTokenizerFilePath = "";
+
+  ModelRunnerCallback mCallback = null;
+
+  HandlerThread mHandlerThread = null;
+  Handler mHandler = null;
+
+  /**
+   * ] Helper class to separate between UI logic and model runner logic. Automatically handle
+   * generate() request on worker thread.
+   *
+   * @param modelFilePath
+   * @param tokenizerFilePath
+   * @param callback
+   */
+  ModelRunner(
+      String modelFilePath,
+      String tokenizerFilePath,
+      float temperature,
+      ModelRunnerCallback callback) {
+    mModelFilePath = modelFilePath;
+    mTokenizerFilePath = tokenizerFilePath;
+    mCallback = callback;
+
+    mModule = new LlamaModule(mModelFilePath, mTokenizerFilePath, 0.8f);
+    mHandlerThread = new HandlerThread("ModelRunner");
+    mHandlerThread.start();
+    mHandler = new ModelRunnerHandler(mHandlerThread.getLooper(), this);
+
+    mHandler.sendEmptyMessage(ModelRunnerHandler.MESSAGE_LOAD_MODEL);
+  }
+
+  int generate(String prompt) {
+    Message msg = Message.obtain(mHandler, ModelRunnerHandler.MESSAGE_GENERATE, prompt);
+    msg.sendToTarget();
+    return 0;
+  }
+
+  void stop() {
+    mModule.stop();
+  }
+
+  @Override
+  public void onResult(String result) {
+    mCallback.onTokenGenerated(result);
+  }
+
+  @Override
+  public void onStats(float tps) {
+    mCallback.onStats("tokens/second: " + tps);
+  }
+}
+
+class ModelRunnerHandler extends Handler {
+  public static int MESSAGE_LOAD_MODEL = 1;
+  public static int MESSAGE_GENERATE = 2;
+
+  private final ModelRunner mModelRunner;
+
+  public ModelRunnerHandler(Looper looper, ModelRunner modelRunner) {
+    super(looper);
+    mModelRunner = modelRunner;
+  }
+
+  @Override
+  public void handleMessage(@NonNull android.os.Message msg) {
+    if (msg.what == MESSAGE_LOAD_MODEL) {
+      int status = mModelRunner.mModule.load();
+      mModelRunner.mCallback.onModelLoaded(status);
+    } else if (msg.what == MESSAGE_GENERATE) {
+      mModelRunner.mModule.generate((String) msg.obj, mModelRunner);
+      mModelRunner.mCallback.onGenerationStopped();
+    }
+  }
+}
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/ModelRunnerCallback.java b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/ModelRunnerCallback.java
new file mode 100644
index 0000000000..c8bdc53075
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/ModelRunnerCallback.java
@@ -0,0 +1,24 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package com.example.executorchllamademo;
+
+/**
+ * A helper interface within the app for MainActivity and Benchmarking to handle callback from
+ * ModelRunner.
+ */
+public interface ModelRunnerCallback {
+
+  void onModelLoaded(int status);
+
+  void onTokenGenerated(String token);
+
+  void onStats(String token);
+
+  void onGenerationStopped();
+}
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/ModelType.java b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/ModelType.java
new file mode 100644
index 0000000000..91e84be059
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/ModelType.java
@@ -0,0 +1,15 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package com.example.executorchllamademo;
+
+public enum ModelType {
+  LLAMA_3,
+  LLAMA_3_1,
+  LLAVA_1_5,
+}
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/ModelUtils.java b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/ModelUtils.java
new file mode 100644
index 0000000000..ab1f1bc92f
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/ModelUtils.java
@@ -0,0 +1,28 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package com.example.executorchllamademo;
+
+public class ModelUtils {
+  static final int TEXT_MODEL = 1;
+  static final int VISION_MODEL = 2;
+  static final int VISION_MODEL_IMAGE_CHANNELS = 3;
+  static final int VISION_MODEL_SEQ_LEN = 768;
+  static final int TEXT_MODEL_SEQ_LEN = 256;
+
+  public static int getModelCategory(ModelType modelType) {
+    switch (modelType) {
+      case LLAVA_1_5:
+        return VISION_MODEL;
+      case LLAMA_3:
+      case LLAMA_3_1:
+      default:
+        return TEXT_MODEL;
+    }
+  }
+}
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/PromptFormat.java b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/PromptFormat.java
new file mode 100644
index 0000000000..36e738c3d0
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/PromptFormat.java
@@ -0,0 +1,75 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package com.example.executorchllamademo;
+
+public class PromptFormat {
+
+  public static final String SYSTEM_PLACEHOLDER = "{{ system_prompt }}";
+  public static final String USER_PLACEHOLDER = "{{ user_prompt }}";
+  public static final String ASSISTANT_PLACEHOLDER = "{{ assistant_response }}";
+  public static final String DEFAULT_SYSTEM_PROMPT = "Answer the questions in a few sentences";
+
+  public static String getSystemPromptTemplate(ModelType modelType) {
+    switch (modelType) {
+      case LLAMA_3:
+      case LLAMA_3_1:
+        return "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n"
+            + SYSTEM_PLACEHOLDER
+            + "<|eot_id|>";
+      case LLAVA_1_5:
+        return "USER: ";
+      default:
+        return SYSTEM_PLACEHOLDER;
+    }
+  }
+
+  public static String getUserPromptTemplate(ModelType modelType) {
+    switch (modelType) {
+      case LLAMA_3:
+      case LLAMA_3_1:
+        return "<|start_header_id|>user<|end_header_id|>\n"
+            + USER_PLACEHOLDER
+            + "<|eot_id|>"
+            + "<|start_header_id|>assistant<|end_header_id|>";
+
+      case LLAVA_1_5:
+      default:
+        return USER_PLACEHOLDER;
+    }
+  }
+
+  public static String getConversationFormat(ModelType modelType) {
+    switch (modelType) {
+      case LLAMA_3:
+      case LLAMA_3_1:
+        return getUserPromptTemplate(modelType) + "\n" + ASSISTANT_PLACEHOLDER + "<|eot_id|>";
+      case LLAVA_1_5:
+        return USER_PLACEHOLDER + " ASSISTANT:";
+      default:
+        return USER_PLACEHOLDER;
+    }
+  }
+
+  public static String getStopToken(ModelType modelType) {
+    switch (modelType) {
+      case LLAMA_3:
+      case LLAMA_3_1:
+        return "<|eot_id|>";
+      case LLAVA_1_5:
+        return "</s>";
+      default:
+        return "";
+    }
+  }
+
+  public static String getLlavaPresetPrompt() {
+    return "A chat between a curious human and an artificial intelligence assistant. The assistant"
+        + " gives helpful, detailed, and polite answers to the human's questions. USER: ";
+  }
+}
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/SettingsActivity.java b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/SettingsActivity.java
new file mode 100644
index 0000000000..773fef19dd
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/SettingsActivity.java
@@ -0,0 +1,393 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package com.example.executorchllamademo;
+
+import android.app.AlertDialog;
+import android.content.DialogInterface;
+import android.os.Build;
+import android.os.Bundle;
+import android.text.Editable;
+import android.text.TextWatcher;
+import android.widget.Button;
+import android.widget.EditText;
+import android.widget.ImageButton;
+import android.widget.TextView;
+import androidx.appcompat.app.AppCompatActivity;
+import androidx.core.content.ContextCompat;
+import androidx.core.graphics.Insets;
+import androidx.core.view.ViewCompat;
+import androidx.core.view.WindowInsetsCompat;
+import com.google.gson.Gson;
+import java.io.File;
+import java.util.ArrayList;
+import java.util.List;
+
+public class SettingsActivity extends AppCompatActivity {
+
+  private String mModelFilePath = "";
+  private String mTokenizerFilePath = "";
+  private TextView mModelTextView;
+  private TextView mTokenizerTextView;
+  private TextView mModelTypeTextView;
+  private EditText mSystemPromptEditText;
+  private EditText mUserPromptEditText;
+  private Button mLoadModelButton;
+  private double mSetTemperature;
+  private String mSystemPrompt;
+  private String mUserPrompt;
+  private ModelType mModelType;
+  public SettingsFields mSettingsFields;
+
+  private DemoSharedPreferences mDemoSharedPreferences;
+  public static double TEMPERATURE_MIN_VALUE = 0.0;
+
+  @Override
+  protected void onCreate(Bundle savedInstanceState) {
+    super.onCreate(savedInstanceState);
+    setContentView(R.layout.activity_settings);
+    if (Build.VERSION.SDK_INT >= 21) {
+      getWindow().setStatusBarColor(ContextCompat.getColor(this, R.color.status_bar));
+      getWindow().setNavigationBarColor(ContextCompat.getColor(this, R.color.nav_bar));
+    }
+    ViewCompat.setOnApplyWindowInsetsListener(
+        requireViewById(R.id.main),
+        (v, insets) -> {
+          Insets systemBars = insets.getInsets(WindowInsetsCompat.Type.systemBars());
+          v.setPadding(systemBars.left, systemBars.top, systemBars.right, systemBars.bottom);
+          return insets;
+        });
+    mDemoSharedPreferences = new DemoSharedPreferences(getBaseContext());
+    mSettingsFields = new SettingsFields();
+    setupSettings();
+  }
+
+  private void setupSettings() {
+    mModelTextView = requireViewById(R.id.modelTextView);
+    mTokenizerTextView = requireViewById(R.id.tokenizerTextView);
+    mModelTypeTextView = requireViewById(R.id.modelTypeTextView);
+    ImageButton modelImageButton = requireViewById(R.id.modelImageButton);
+    ImageButton tokenizerImageButton = requireViewById(R.id.tokenizerImageButton);
+    ImageButton modelTypeImageButton = requireViewById(R.id.modelTypeImageButton);
+    mSystemPromptEditText = requireViewById(R.id.systemPromptText);
+    mUserPromptEditText = requireViewById(R.id.userPromptText);
+    loadSettings();
+
+    // TODO: The two setOnClickListeners will be removed after file path issue is resolved
+    modelImageButton.setOnClickListener(
+        view -> {
+          setupModelSelectorDialog();
+        });
+    tokenizerImageButton.setOnClickListener(
+        view -> {
+          setupTokenizerSelectorDialog();
+        });
+    modelTypeImageButton.setOnClickListener(
+        view -> {
+          setupModelTypeSelectorDialog();
+        });
+    mModelFilePath = mSettingsFields.getModelFilePath();
+    if (!mModelFilePath.isEmpty()) {
+      mModelTextView.setText(getFilenameFromPath(mModelFilePath));
+    }
+    mTokenizerFilePath = mSettingsFields.getTokenizerFilePath();
+    if (!mTokenizerFilePath.isEmpty()) {
+      mTokenizerTextView.setText(getFilenameFromPath(mTokenizerFilePath));
+    }
+    mModelType = mSettingsFields.getModelType();
+    ETLogging.getInstance().log("mModelType from settings " + mModelType);
+    if (mModelType != null) {
+      mModelTypeTextView.setText(mModelType.toString());
+    }
+
+    setupParameterSettings();
+    setupPromptSettings();
+    setupClearChatHistoryButton();
+    setupLoadModelButton();
+  }
+
+  private void setupLoadModelButton() {
+    mLoadModelButton = requireViewById(R.id.loadModelButton);
+    mLoadModelButton.setEnabled(true);
+    mLoadModelButton.setOnClickListener(
+        view -> {
+          new AlertDialog.Builder(this)
+              .setTitle("Load Model")
+              .setMessage("Do you really want to load the new model?")
+              .setIcon(android.R.drawable.ic_dialog_alert)
+              .setPositiveButton(
+                  android.R.string.yes,
+                  new DialogInterface.OnClickListener() {
+                    public void onClick(DialogInterface dialog, int whichButton) {
+                      mSettingsFields.saveLoadModelAction(true);
+                      mLoadModelButton.setEnabled(false);
+                      onBackPressed();
+                    }
+                  })
+              .setNegativeButton(android.R.string.no, null)
+              .show();
+        });
+  }
+
+  private void setupClearChatHistoryButton() {
+    Button clearChatButton = requireViewById(R.id.clearChatButton);
+    clearChatButton.setOnClickListener(
+        view -> {
+          new AlertDialog.Builder(this)
+              .setTitle("Delete Chat History")
+              .setMessage("Do you really want to delete chat history?")
+              .setIcon(android.R.drawable.ic_dialog_alert)
+              .setPositiveButton(
+                  android.R.string.yes,
+                  new DialogInterface.OnClickListener() {
+                    public void onClick(DialogInterface dialog, int whichButton) {
+                      mSettingsFields.saveIsClearChatHistory(true);
+                    }
+                  })
+              .setNegativeButton(android.R.string.no, null)
+              .show();
+        });
+  }
+
+  private void setupParameterSettings() {
+    setupTemperatureSettings();
+  }
+
+  private void setupTemperatureSettings() {
+    mSetTemperature = mSettingsFields.getTemperature();
+    EditText temperatureEditText = requireViewById(R.id.temperatureEditText);
+    temperatureEditText.setText(String.valueOf(mSetTemperature));
+    temperatureEditText.addTextChangedListener(
+        new TextWatcher() {
+          @Override
+          public void beforeTextChanged(CharSequence s, int start, int count, int after) {}
+
+          @Override
+          public void onTextChanged(CharSequence s, int start, int before, int count) {}
+
+          @Override
+          public void afterTextChanged(Editable s) {
+            mSetTemperature = Double.parseDouble(s.toString());
+            // This is needed because temperature is changed together with model loading
+            // Once temperature is no longer in LlamaModule constructor, we can remove this
+            mSettingsFields.saveLoadModelAction(true);
+            saveSettings();
+          }
+        });
+  }
+
+  private void setupPromptSettings() {
+    setupSystemPromptSettings();
+    setupUserPromptSettings();
+  }
+
+  private void setupSystemPromptSettings() {
+    mSystemPrompt = mSettingsFields.getSystemPrompt();
+    mSystemPromptEditText.setText(mSystemPrompt);
+    mSystemPromptEditText.addTextChangedListener(
+        new TextWatcher() {
+          @Override
+          public void beforeTextChanged(CharSequence s, int start, int count, int after) {}
+
+          @Override
+          public void onTextChanged(CharSequence s, int start, int before, int count) {}
+
+          @Override
+          public void afterTextChanged(Editable s) {
+            mSystemPrompt = s.toString();
+          }
+        });
+
+    ImageButton resetSystemPrompt = requireViewById(R.id.resetSystemPrompt);
+    resetSystemPrompt.setOnClickListener(
+        view -> {
+          new AlertDialog.Builder(this)
+              .setTitle("Reset System Prompt")
+              .setMessage("Do you really want to reset system prompt?")
+              .setIcon(android.R.drawable.ic_dialog_alert)
+              .setPositiveButton(
+                  android.R.string.yes,
+                  new DialogInterface.OnClickListener() {
+                    public void onClick(DialogInterface dialog, int whichButton) {
+                      // Clear the messageAdapter and sharedPreference
+                      mSystemPromptEditText.setText(PromptFormat.DEFAULT_SYSTEM_PROMPT);
+                    }
+                  })
+              .setNegativeButton(android.R.string.no, null)
+              .show();
+        });
+  }
+
+  private void setupUserPromptSettings() {
+    mUserPrompt = mSettingsFields.getUserPrompt();
+    mUserPromptEditText.setText(mUserPrompt);
+    mUserPromptEditText.addTextChangedListener(
+        new TextWatcher() {
+          @Override
+          public void beforeTextChanged(CharSequence s, int start, int count, int after) {}
+
+          @Override
+          public void onTextChanged(CharSequence s, int start, int before, int count) {}
+
+          @Override
+          public void afterTextChanged(Editable s) {
+            if (isValidUserPrompt(s.toString())) {
+              mUserPrompt = s.toString();
+            } else {
+              showInvalidPromptDialog();
+            }
+          }
+        });
+
+    ImageButton resetUserPrompt = requireViewById(R.id.resetUserPrompt);
+    resetUserPrompt.setOnClickListener(
+        view -> {
+          new AlertDialog.Builder(this)
+              .setTitle("Reset Prompt Template")
+              .setMessage("Do you really want to reset the prompt template?")
+              .setIcon(android.R.drawable.ic_dialog_alert)
+              .setPositiveButton(
+                  android.R.string.yes,
+                  new DialogInterface.OnClickListener() {
+                    public void onClick(DialogInterface dialog, int whichButton) {
+                      // Clear the messageAdapter and sharedPreference
+                      mUserPromptEditText.setText(PromptFormat.getUserPromptTemplate(mModelType));
+                    }
+                  })
+              .setNegativeButton(android.R.string.no, null)
+              .show();
+        });
+  }
+
+  private boolean isValidUserPrompt(String userPrompt) {
+    return userPrompt.contains(PromptFormat.USER_PLACEHOLDER);
+  }
+
+  private void showInvalidPromptDialog() {
+    new AlertDialog.Builder(this)
+        .setTitle("Invalid Prompt Format")
+        .setMessage(
+            "Prompt format must contain "
+                + PromptFormat.USER_PLACEHOLDER
+                + ". Do you want to reset prompt format?")
+        .setIcon(android.R.drawable.ic_dialog_alert)
+        .setPositiveButton(
+            android.R.string.yes,
+            (dialog, whichButton) -> {
+              mUserPromptEditText.setText(PromptFormat.getUserPromptTemplate(mModelType));
+            })
+        .setNegativeButton(android.R.string.no, null)
+        .show();
+  }
+
+  private void setupModelSelectorDialog() {
+    String[] pteFiles = listLocalFile("/data/local/tmp/llama/", ".pte");
+    AlertDialog.Builder modelPathBuilder = new AlertDialog.Builder(this);
+    modelPathBuilder.setTitle("Select model path");
+
+    modelPathBuilder.setSingleChoiceItems(
+        pteFiles,
+        -1,
+        (dialog, item) -> {
+          mModelFilePath = pteFiles[item];
+          mModelTextView.setText(getFilenameFromPath(mModelFilePath));
+          mLoadModelButton.setEnabled(true);
+          dialog.dismiss();
+        });
+
+    modelPathBuilder.create().show();
+  }
+
+  private static String[] listLocalFile(String path, String suffix) {
+    File directory = new File(path);
+    if (directory.exists() && directory.isDirectory()) {
+      File[] files = directory.listFiles((dir, name) -> name.toLowerCase().endsWith(suffix));
+      String[] result = new String[files.length];
+      for (int i = 0; i < files.length; i++) {
+        if (files[i].isFile() && files[i].getName().endsWith(suffix)) {
+          result[i] = files[i].getAbsolutePath();
+        }
+      }
+      return result;
+    }
+    return null;
+  }
+
+  private void setupModelTypeSelectorDialog() {
+    // Convert enum to list
+    List<String> modelTypesList = new ArrayList<>();
+    for (ModelType modelType : ModelType.values()) {
+      modelTypesList.add(modelType.toString());
+    }
+    // Alert dialog builder takes in arr of string instead of list
+    String[] modelTypes = modelTypesList.toArray(new String[0]);
+    AlertDialog.Builder modelTypeBuilder = new AlertDialog.Builder(this);
+    modelTypeBuilder.setTitle("Select model type");
+    modelTypeBuilder.setSingleChoiceItems(
+        modelTypes,
+        -1,
+        (dialog, item) -> {
+          mModelTypeTextView.setText(modelTypes[item]);
+          mModelType = ModelType.valueOf(modelTypes[item]);
+          mUserPromptEditText.setText(PromptFormat.getUserPromptTemplate(mModelType));
+          dialog.dismiss();
+        });
+
+    modelTypeBuilder.create().show();
+  }
+
+  private void setupTokenizerSelectorDialog() {
+    String[] binFiles = listLocalFile("/data/local/tmp/llama/", ".bin");
+    String[] tokenizerFiles = new String[binFiles.length];
+    System.arraycopy(binFiles, 0, tokenizerFiles, 0, binFiles.length);
+    AlertDialog.Builder tokenizerPathBuilder = new AlertDialog.Builder(this);
+    tokenizerPathBuilder.setTitle("Select tokenizer path");
+    tokenizerPathBuilder.setSingleChoiceItems(
+        tokenizerFiles,
+        -1,
+        (dialog, item) -> {
+          mTokenizerFilePath = tokenizerFiles[item];
+          mTokenizerTextView.setText(getFilenameFromPath(mTokenizerFilePath));
+          mLoadModelButton.setEnabled(true);
+          dialog.dismiss();
+        });
+
+    tokenizerPathBuilder.create().show();
+  }
+
+  private String getFilenameFromPath(String uriFilePath) {
+    String[] segments = uriFilePath.split("/");
+    if (segments.length > 0) {
+      return segments[segments.length - 1]; // get last element (aka filename)
+    }
+    return "";
+  }
+
+  private void loadSettings() {
+    Gson gson = new Gson();
+    String settingsFieldsJSON = mDemoSharedPreferences.getSettings();
+    if (!settingsFieldsJSON.isEmpty()) {
+      mSettingsFields = gson.fromJson(settingsFieldsJSON, SettingsFields.class);
+    }
+  }
+
+  private void saveSettings() {
+    mSettingsFields.saveModelPath(mModelFilePath);
+    mSettingsFields.saveTokenizerPath(mTokenizerFilePath);
+    mSettingsFields.saveParameters(mSetTemperature);
+    mSettingsFields.savePrompts(mSystemPrompt, mUserPrompt);
+    mSettingsFields.saveModelType(mModelType);
+    mDemoSharedPreferences.addSettings(mSettingsFields);
+  }
+
+  @Override
+  public void onBackPressed() {
+    super.onBackPressed();
+    saveSettings();
+  }
+}
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/SettingsFields.java b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/SettingsFields.java
new file mode 100644
index 0000000000..b71799981b
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/SettingsFields.java
@@ -0,0 +1,131 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package com.example.executorchllamademo;
+
+public class SettingsFields {
+
+  public String getModelFilePath() {
+    return modelFilePath;
+  }
+
+  public String getTokenizerFilePath() {
+    return tokenizerFilePath;
+  }
+
+  public double getTemperature() {
+    return temperature;
+  }
+
+  public String getSystemPrompt() {
+    return systemPrompt;
+  }
+
+  public ModelType getModelType() {
+    return modelType;
+  }
+
+  public String getUserPrompt() {
+    return userPrompt;
+  }
+
+  public String getFormattedSystemAndUserPrompt(String prompt) {
+    return getFormattedSystemPrompt() + getFormattedUserPrompt(prompt);
+  }
+
+  public String getFormattedSystemPrompt() {
+    return PromptFormat.getSystemPromptTemplate(modelType)
+        .replace(PromptFormat.SYSTEM_PLACEHOLDER, systemPrompt);
+  }
+
+  public String getFormattedUserPrompt(String prompt) {
+    return userPrompt.replace(PromptFormat.USER_PLACEHOLDER, prompt);
+  }
+
+  public boolean getIsClearChatHistory() {
+    return isClearChatHistory;
+  }
+
+  public boolean getIsLoadModel() {
+    return isLoadModel;
+  }
+
+  private String modelFilePath;
+  private String tokenizerFilePath;
+  private double temperature;
+  private String systemPrompt;
+  private String userPrompt;
+  private boolean isClearChatHistory;
+  private boolean isLoadModel;
+  private ModelType modelType;
+
+  public SettingsFields() {
+    ModelType DEFAULT_MODEL = ModelType.LLAMA_3;
+
+    modelFilePath = "";
+    tokenizerFilePath = "";
+    temperature = SettingsActivity.TEMPERATURE_MIN_VALUE;
+    systemPrompt = "";
+    userPrompt = PromptFormat.getUserPromptTemplate(DEFAULT_MODEL);
+    isClearChatHistory = false;
+    isLoadModel = false;
+    modelType = DEFAULT_MODEL;
+  }
+
+  public SettingsFields(SettingsFields settingsFields) {
+    this.modelFilePath = settingsFields.modelFilePath;
+    this.tokenizerFilePath = settingsFields.tokenizerFilePath;
+    this.temperature = settingsFields.temperature;
+    this.systemPrompt = settingsFields.getSystemPrompt();
+    this.userPrompt = settingsFields.getUserPrompt();
+    this.isClearChatHistory = settingsFields.getIsClearChatHistory();
+    this.isLoadModel = settingsFields.getIsLoadModel();
+    this.modelType = settingsFields.modelType;
+  }
+
+  public void saveModelPath(String modelFilePath) {
+    this.modelFilePath = modelFilePath;
+  }
+
+  public void saveTokenizerPath(String tokenizerFilePath) {
+    this.tokenizerFilePath = tokenizerFilePath;
+  }
+
+  public void saveModelType(ModelType modelType) {
+    this.modelType = modelType;
+  }
+
+  public void saveParameters(Double temperature) {
+    this.temperature = temperature;
+  }
+
+  public void savePrompts(String systemPrompt, String userPrompt) {
+    this.systemPrompt = systemPrompt;
+    this.userPrompt = userPrompt;
+  }
+
+  public void saveIsClearChatHistory(boolean needToClear) {
+    this.isClearChatHistory = needToClear;
+  }
+
+  public void saveLoadModelAction(boolean shouldLoadModel) {
+    this.isLoadModel = shouldLoadModel;
+  }
+
+  public boolean equals(SettingsFields anotherSettingsFields) {
+    if (this == anotherSettingsFields) return true;
+    return modelFilePath.equals(anotherSettingsFields.modelFilePath)
+        && tokenizerFilePath.equals(anotherSettingsFields.tokenizerFilePath)
+        && temperature == anotherSettingsFields.temperature
+        && systemPrompt.equals(anotherSettingsFields.systemPrompt)
+        && userPrompt.equals(anotherSettingsFields.userPrompt)
+        && isClearChatHistory == anotherSettingsFields.isClearChatHistory
+        && isLoadModel == anotherSettingsFields.isLoadModel
+        && modelType == anotherSettingsFields.modelType;
+  }
+}
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/banner_shape.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/banner_shape.xml
new file mode 100644
index 0000000000..0868ffffa6
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/banner_shape.xml
@@ -0,0 +1,5 @@
+<?xml version="1.0" encoding="utf-8"?>
+<shape xmlns:android="http://schemas.android.com/apk/res/android"
+    android:shape="rectangle">
+    <solid android:color="#16293D" />
+</shape>
\ No newline at end of file
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_add_24.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_add_24.xml
new file mode 100644
index 0000000000..2ae27b8409
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_add_24.xml
@@ -0,0 +1,5 @@
+<vector xmlns:android="http://schemas.android.com/apk/res/android" android:height="24dp" android:tint="#FFFFFF" android:viewportHeight="24" android:viewportWidth="24" android:width="24dp">
+      
+    <path android:fillColor="@android:color/white" android:pathData="M19,13h-6v6h-2v-6H5v-2h6V5h2v6h6v2z"/>
+    
+</vector>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_add_photo_alternate_24.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_add_photo_alternate_24.xml
new file mode 100644
index 0000000000..7077fedd48
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_add_photo_alternate_24.xml
@@ -0,0 +1,5 @@
+<vector xmlns:android="http://schemas.android.com/apk/res/android" android:height="24dp" android:tint="#FFFFFF" android:viewportHeight="24" android:viewportWidth="24" android:width="24dp">
+      
+    <path android:fillColor="@android:color/white" android:pathData="M19,7v2.99s-1.99,0.01 -2,0L17,7h-3s0.01,-1.99 0,-2h3L17,2h2v3h3v2h-3zM16,11L16,8h-3L13,5L5,5c-1.1,0 -2,0.9 -2,2v12c0,1.1 0.9,2 2,2h12c1.1,0 2,-0.9 2,-2v-8h-3zM5,19l3,-4 2,3 3,-4 4,5L5,19z"/>
+    
+</vector>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_article_24.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_article_24.xml
new file mode 100644
index 0000000000..a6837b9c69
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_article_24.xml
@@ -0,0 +1,6 @@
+<vector xmlns:android="http://schemas.android.com/apk/res/android" android:autoMirrored="true" android:height="24dp" android:tint="#FFFFFF
+" android:viewportHeight="24" android:viewportWidth="24" android:width="24dp">
+      
+    <path android:fillColor="@android:color/white" android:pathData="M19,3L5,3c-1.1,0 -2,0.9 -2,2v14c0,1.1 0.9,2 2,2h14c1.1,0 2,-0.9 2,-2L21,5c0,-1.1 -0.9,-2 -2,-2zM14,17L7,17v-2h7v2zM17,13L7,13v-2h10v2zM17,9L7,9L7,7h10v2z"/>
+    
+</vector>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_close_24.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_close_24.xml
new file mode 100644
index 0000000000..fb902d4331
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_close_24.xml
@@ -0,0 +1,6 @@
+<vector xmlns:android="http://schemas.android.com/apk/res/android" android:height="24dp" android:tint="#FFFFFF
+" android:viewportHeight="24" android:viewportWidth="24" android:width="24dp">
+      
+    <path android:fillColor="@android:color/white" android:pathData="M19,6.41L17.59,5 12,10.59 6.41,5 5,6.41 10.59,12 5,17.59 6.41,19 12,13.41 17.59,19 19,17.59 13.41,12z"/>
+    
+</vector>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_delete_forever_24.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_delete_forever_24.xml
new file mode 100644
index 0000000000..4680bc6629
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_delete_forever_24.xml
@@ -0,0 +1,5 @@
+<vector xmlns:android="http://schemas.android.com/apk/res/android" android:height="24dp" android:tint="#FFFFFF" android:viewportHeight="24" android:viewportWidth="24" android:width="24dp">
+      
+    <path android:fillColor="@android:color/white" android:pathData="M6,19c0,1.1 0.9,2 2,2h8c1.1,0 2,-0.9 2,-2L18,7L6,7v12zM8.46,11.88l1.41,-1.41L12,12.59l2.12,-2.12 1.41,1.41L13.41,14l2.12,2.12 -1.41,1.41L12,15.41l-2.12,2.12 -1.41,-1.41L10.59,14l-2.13,-2.12zM15.5,4l-1,-1h-5l-1,1L5,4v2h14L19,4z"/>
+    
+</vector>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_restart_alt_24.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_restart_alt_24.xml
new file mode 100644
index 0000000000..860470ab10
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_restart_alt_24.xml
@@ -0,0 +1,6 @@
+<vector android:height="24dp" android:tint="#FFFFFF"
+    android:viewportHeight="24" android:viewportWidth="24"
+    android:width="24dp" xmlns:android="http://schemas.android.com/apk/res/android">
+    <path android:fillColor="@android:color/white" android:pathData="M12,5V2L8,6l4,4V7c3.31,0 6,2.69 6,6c0,2.97 -2.17,5.43 -5,5.91v2.02c3.95,-0.49 7,-3.85 7,-7.93C20,8.58 16.42,5 12,5z"/>
+    <path android:fillColor="@android:color/white" android:pathData="M6,13c0,-1.65 0.67,-3.15 1.76,-4.24L6.34,7.34C4.9,8.79 4,10.79 4,13c0,4.08 3.05,7.44 7,7.93v-2.02C8.17,18.43 6,15.97 6,13z"/>
+</vector>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_send_24.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_send_24.xml
new file mode 100644
index 0000000000..2de1f64208
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_send_24.xml
@@ -0,0 +1,6 @@
+<vector android:autoMirrored="true" android:height="24dp"
+    android:tint="#FFFFFF
+" android:viewportHeight="24"
+    android:viewportWidth="24" android:width="24dp" xmlns:android="http://schemas.android.com/apk/res/android">
+    <path android:fillColor="@android:color/white" android:pathData="M2.01,21L23,12 2.01,3 2,10l15,2 -15,2z"/>
+</vector>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_settings_24.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_settings_24.xml
new file mode 100644
index 0000000000..c51d84b9f4
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_settings_24.xml
@@ -0,0 +1,11 @@
+<vector xmlns:android="http://schemas.android.com/apk/res/android"
+    android:width="24dp"
+    android:height="24dp"
+    android:viewportWidth="960"
+    android:viewportHeight="960"
+    android:tint="#FFFFFF
+">
+    <path
+        android:fillColor="@android:color/black"
+        android:pathData="M387.69,860L372.46,738.15Q356.39,732.77 339.5,723.08Q322.62,713.38 309.31,702.31L196.46,750L104.16,590L201.77,516.23Q200.39,507.31 199.81,498.31Q199.23,489.31 199.23,480.38Q199.23,471.85 199.81,463.04Q200.39,454.23 201.77,443.77L104.16,370L196.46,210.77L308.92,258.08Q323.39,246.62 339.81,237.12Q356.23,227.62 372.08,221.85L387.69,100L572.31,100L587.54,222.23Q605.54,228.77 620.11,237.5Q634.69,246.23 649.54,258.08L763.54,210.77L855.84,370L756.69,444.92Q758.84,454.61 759.04,463.04Q759.23,471.46 759.23,480Q759.23,488.15 758.84,496.58Q758.46,505 756.08,515.85L854.46,590L762.15,750L649.54,701.92Q634.69,713.77 619.23,722.88Q603.77,732 587.54,737.77L572.31,860L387.69,860ZM440,800L518.62,800L533,692.85Q563.62,684.85 588.96,670.12Q614.31,655.38 637.85,632.23L737.23,674L776.62,606L689.85,540.62Q694.85,525.08 696.65,510.15Q698.46,495.23 698.46,480Q698.46,464.38 696.65,449.85Q694.85,435.31 689.85,420.15L777.38,354L738,286L637.46,328.38Q617.38,306.92 589.35,290.46Q561.31,274 532.62,267.15L520,160L440.62,160L427.38,266.77Q396.77,274 370.85,288.92Q344.92,303.85 321.38,327.38L222,286L182.62,354L269,418.38Q264,432.62 262,448Q260,463.38 260,480.38Q260,496 262,511Q264,526 268.62,540.62L182.62,606L222,674L321,632Q343.77,655.38 369.69,670.31Q395.62,685.23 427,693.23L440,800ZM480.46,600Q530.38,600 565.42,564.96Q600.46,529.92 600.46,480Q600.46,430.08 565.42,395.04Q530.38,360 480.46,360Q429.92,360 395.19,395.04Q360.46,430.08 360.46,480Q360.46,529.92 395.19,564.96Q429.92,600 480.46,600ZM480,480L480,480Q480,480 480,480Q480,480 480,480L480,480L480,480L480,480Q480,480 480,480Q480,480 480,480Q480,480 480,480Q480,480 480,480L480,480L480,480L480,480Q480,480 480,480Q480,480 480,480L480,480L480,480L480,480Q480,480 480,480Q480,480 480,480L480,480L480,480L480,480Q480,480 480,480Q480,480 480,480Q480,480 480,480Q480,480 480,480L480,480L480,480L480,480Q480,480 480,480Q480,480 480,480L480,480Z"/>
+</vector>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_stop_24.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_stop_24.xml
new file mode 100644
index 0000000000..832e258595
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/baseline_stop_24.xml
@@ -0,0 +1,6 @@
+<vector xmlns:android="http://schemas.android.com/apk/res/android" android:height="24dp" android:tint="#FFFFFF
+" android:viewportHeight="24" android:viewportWidth="24" android:width="24dp">
+      
+    <path android:fillColor="@android:color/white" android:pathData="M6,6h12v12H6z"/>
+    
+</vector>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/btn.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/btn.xml
new file mode 100644
index 0000000000..ceb3ac56c9
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/btn.xml
@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="utf-8"?>
+<selector xmlns:android="http://schemas.android.com/apk/res/android">
+    <!-- Disable background -->
+    <item android:state_enabled="false"
+        android:color="@color/btn_disabled"/>
+    <!-- Enabled background -->
+    <item android:color="@color/btn_enabled"/>
+</selector>
\ No newline at end of file
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/chat_background.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/chat_background.xml
new file mode 100644
index 0000000000..eb8b9d1f1a
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/chat_background.xml
@@ -0,0 +1,21 @@
+<vector xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:aapt="http://schemas.android.com/aapt"
+    android:width="412dp"
+    android:height="893dp"
+    android:viewportWidth="412"
+    android:viewportHeight="893">
+  <path
+      android:pathData="M0,0h412v893h-412z">
+    <aapt:attr name="android:fillColor">
+      <gradient 
+          android:startX="206"
+          android:startY="0"
+          android:endX="206"
+          android:endY="893"
+          android:type="linear">
+        <item android:offset="0.05" android:color="#FF16293D"/>
+        <item android:offset="0.9" android:color="#FF192E4D"/>
+      </gradient>
+    </aapt:attr>
+  </path>
+</vector>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/custom_button_round.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/custom_button_round.xml
new file mode 100644
index 0000000000..87c82d2a38
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/custom_button_round.xml
@@ -0,0 +1,7 @@
+<?xml version="1.0" encoding="utf-8"?>
+<shape xmlns:android="http://schemas.android.com/apk/res/android" android:shape="rectangle">
+    <solid android:color="#6080F0"/>
+    <corners android:radius="500dp"/>
+    <size android:width="100dp"
+        android:height="100dp"/>
+</shape>
\ No newline at end of file
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/expand_circle_down.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/expand_circle_down.xml
new file mode 100644
index 0000000000..0a7a71f070
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/expand_circle_down.xml
@@ -0,0 +1,9 @@
+<vector xmlns:android="http://schemas.android.com/apk/res/android"
+    android:width="24dp"
+    android:height="18dp"
+    android:viewportWidth="15"
+    android:viewportHeight="10">
+  <path
+      android:pathData="M15,2.373L7.5,10L0,2.373L2.375,0L7.5,5.212L12.625,0L15,2.373Z"
+      android:fillColor="#F4F4F4"/>
+</vector>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/input_text_shape.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/input_text_shape.xml
new file mode 100644
index 0000000000..35c778a437
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/input_text_shape.xml
@@ -0,0 +1,7 @@
+<?xml version="1.0" encoding="utf-8"?>
+<shape xmlns:android="http://schemas.android.com/apk/res/android"
+    android:shape="rectangle">
+    <solid android:color="#081D2C" />
+    <corners android:radius="20dp"/>
+    <padding android:layout_marginTop="5dp" android:layout_marginBottom="5dp" android:left="10dp" android:right="10dp"/>
+</shape>
\ No newline at end of file
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/logo.png b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/logo.png
new file mode 100644
index 0000000000..60e3e5174e
Binary files /dev/null and b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/logo.png differ
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/outline_add_box_48.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/outline_add_box_48.xml
new file mode 100644
index 0000000000..bb45d63d85
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/outline_add_box_48.xml
@@ -0,0 +1,6 @@
+<vector xmlns:android="http://schemas.android.com/apk/res/android" android:height="48dp" android:tint="#ffffff
+" android:viewportHeight="24" android:viewportWidth="24" android:width="48dp">
+      
+    <path android:fillColor="@android:color/white" android:pathData="M19,3L5,3c-1.11,0 -2,0.9 -2,2v14c0,1.1 0.89,2 2,2h14c1.1,0 2,-0.9 2,-2L21,5c0,-1.1 -0.9,-2 -2,-2zM19,19L5,19L5,5h14v14zM11,17h2v-4h4v-2h-4L13,7h-2v4L7,11v2h4z"/>
+    
+</vector>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/outline_camera_alt_48.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/outline_camera_alt_48.xml
new file mode 100644
index 0000000000..c7b4b2e4a1
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/outline_camera_alt_48.xml
@@ -0,0 +1,5 @@
+<vector xmlns:android="http://schemas.android.com/apk/res/android" android:height="48dp" android:tint="#000000" android:viewportHeight="24" android:viewportWidth="24" android:width="48dp">
+      
+    <path android:fillColor="@android:color/white" android:pathData="M20,4h-3.17L15,2L9,2L7.17,4L4,4c-1.1,0 -2,0.9 -2,2v12c0,1.1 0.9,2 2,2h16c1.1,0 2,-0.9 2,-2L22,6c0,-1.1 -0.9,-2 -2,-2zM20,18L4,18L4,6h4.05l1.83,-2h4.24l1.83,2L20,6v12zM12,7c-2.76,0 -5,2.24 -5,5s2.24,5 5,5 5,-2.24 5,-5 -2.24,-5 -5,-5zM12,15c-1.65,0 -3,-1.35 -3,-3s1.35,-3 3,-3 3,1.35 3,3 -1.35,3 -3,3z"/>
+    
+</vector>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/outline_image_48.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/outline_image_48.xml
new file mode 100644
index 0000000000..a8bb4b2f64
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/outline_image_48.xml
@@ -0,0 +1,5 @@
+<vector xmlns:android="http://schemas.android.com/apk/res/android" android:height="48dp" android:tint="#000000" android:viewportHeight="24" android:viewportWidth="24" android:width="48dp">
+      
+    <path android:fillColor="@android:color/white" android:pathData="M19,5v14L5,19L5,5h14m0,-2L5,3c-1.1,0 -2,0.9 -2,2v14c0,1.1 0.9,2 2,2h14c1.1,0 2,-0.9 2,-2L21,5c0,-1.1 -0.9,-2 -2,-2zM14.14,11.86l-3,3.87L9,13.14 6,17h12l-3.86,-5.14z"/>
+    
+</vector>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/prompt_shape.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/prompt_shape.xml
new file mode 100644
index 0000000000..5f81396e38
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/prompt_shape.xml
@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="utf-8"?>
+<shape xmlns:android="http://schemas.android.com/apk/res/android"
+android:shape="rectangle">
+<solid android:color="#081D2C" />
+<corners android:radius="4dp" />
+</shape>
\ No newline at end of file
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/received_message.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/received_message.xml
index ea2d1bbfa1..c2288b5bfc 100644
--- a/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/received_message.xml
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/drawable/received_message.xml
@@ -1,6 +1,6 @@
 <?xml version="1.0" encoding="utf-8"?>
 <shape xmlns:android="http://schemas.android.com/apk/res/android"
     android:shape="rectangle">
-    <solid android:color="#fff" />
+    <solid android:color="#081D2C" />
     <corners android:radius="10dp" />
 </shape>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/activity_benchmarking.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/activity_benchmarking.xml
new file mode 100644
index 0000000000..6e48b5de8b
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/activity_benchmarking.xml
@@ -0,0 +1,16 @@
+<?xml version="1.0" encoding="utf-8"?>
+<LinearLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:tools="http://schemas.android.com/tools"
+    android:layout_width="match_parent"
+    android:layout_height="match_parent"
+    android:orientation="vertical"
+    android:clipToPadding="false"
+    android:focusableInTouchMode="true"
+    tools:context=".LlmBenchmarkRunner">
+
+    <TextView
+        android:layout_width="match_parent"
+        android:layout_height="match_parent"
+        android:id="@+id/log_view" />
+
+</LinearLayout>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/activity_logs.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/activity_logs.xml
new file mode 100644
index 0000000000..b327a544f2
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/activity_logs.xml
@@ -0,0 +1,55 @@
+<?xml version="1.0" encoding="utf-8"?>
+<androidx.constraintlayout.widget.ConstraintLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:app="http://schemas.android.com/apk/res-auto"
+    xmlns:tools="http://schemas.android.com/tools"
+    android:id="@+id/main"
+    android:layout_width="match_parent"
+    android:layout_height="match_parent"
+    tools:context=".LogsActivity">
+
+    <LinearLayout
+        android:layout_width="match_parent"
+        android:layout_height="match_parent"
+        android:orientation="vertical">
+
+        <LinearLayout
+            android:id="@+id/top_banner"
+            android:layout_width="match_parent"
+            android:layout_height="wrap_content"
+            android:background="@drawable/banner_shape"
+            android:orientation="horizontal">
+
+            <TextView
+                android:layout_width="wrap_content"
+                android:layout_height="wrap_content"
+                android:paddingLeft="10dp"
+                android:paddingTop="20dp"
+                android:paddingBottom="7dp"
+                android:text="Logs"
+                android:textColor="@android:color/white"
+                android:textSize="20sp"
+                android:textStyle="bold" />
+            <View
+                android:layout_width="0dp"
+                android:layout_height="0dp"
+                android:layout_weight="1"
+                />
+            <ImageButton
+                android:id="@+id/clearLogsButton"
+                android:layout_width="wrap_content"
+                android:layout_height="wrap_content"
+                android:paddingTop="20dp"
+                android:backgroundTint="@android:color/transparent"
+                android:src="@drawable/baseline_delete_forever_24"
+                />
+        </LinearLayout>
+
+        <ListView
+            android:id="@+id/logsListView"
+            android:layout_width="match_parent"
+            android:layout_height="match_parent">
+
+        </ListView>
+    </LinearLayout>
+
+</androidx.constraintlayout.widget.ConstraintLayout>
\ No newline at end of file
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/activity_main.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/activity_main.xml
index 089acb572b..7b8b8d1760 100644
--- a/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/activity_main.xml
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/activity_main.xml
@@ -1,44 +1,233 @@
 <?xml version="1.0" encoding="utf-8"?>
 <LinearLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:app="http://schemas.android.com/apk/res-auto"
     xmlns:tools="http://schemas.android.com/tools"
-    android:layout_width="match_parent"
+    android:layout_width="wrap_content"
     android:layout_height="match_parent"
-    android:orientation="vertical"
+    android:background="#DCD7D7"
     android:clipToPadding="false"
     android:focusableInTouchMode="true"
+    android:orientation="vertical"
     tools:context=".MainActivity">
 
-    <ListView
-        android:layout_width="match_parent"
-        android:id="@+id/messages_view"
-        android:layout_weight="2"
-        android:divider="#fff"
-        android:layout_height="wrap_content"
-        />
-    <LinearLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    <LinearLayout
+        android:id="@+id/top_banner"
         android:layout_width="match_parent"
         android:layout_height="wrap_content"
-        android:background="#fff"
+        android:background="@drawable/banner_shape"
         android:orientation="horizontal">
+
+        <TextView
+            android:layout_width="wrap_content"
+            android:layout_height="wrap_content"
+            android:paddingLeft="20dp"
+            android:paddingTop="20dp"
+            android:text="Chat with Llama"
+            android:textColor="@android:color/white"
+            android:textSize="16sp"
+            android:textStyle="bold" />
+
+        <TextView
+            android:id="@+id/ram_usage_live"
+            android:layout_width="wrap_content"
+            android:layout_height="wrap_content"
+            android:layout_weight="1"
+            android:fontFamily="sans-serif-black"
+            android:paddingLeft="5dp"
+            android:text="0 MB"
+            android:textAlignment="viewEnd"
+            android:textColor="#FFFFFF"
+            android:textSize="14sp" />
+
+        <ImageButton
+            android:id="@+id/showLogsButton"
+            android:layout_width="wrap_content"
+            android:layout_height="wrap_content"
+            android:backgroundTint="@android:color/transparent"
+            android:paddingTop="20dp"
+            android:src="@drawable/baseline_article_24" />
+
         <ImageButton
-            android:id="@+id/modelButton"
+            android:id="@+id/settings"
             android:layout_width="wrap_content"
             android:layout_height="wrap_content"
-            android:src="@drawable/three_dots" />
-        <EditText
-            android:id="@+id/editTextMessage"
+            android:layout_alignParentRight="true"
+            android:backgroundTint="@android:color/transparent"
+            android:paddingTop="20dp"
+            android:src="@drawable/baseline_settings_24" />
+
+    </LinearLayout>
+
+    <LinearLayout
+        android:layout_width="match_parent"
+        android:layout_height="match_parent"
+        android:orientation="vertical">
+
+        <ListView
+            android:id="@+id/messages_view"
             android:layout_width="match_parent"
             android:layout_height="wrap_content"
             android:layout_weight="2"
-            android:ems="10"
-            android:hint="Prompt"
-            android:inputType="text"
-            android:paddingHorizontal="10dp"
-            android:text="" />
-        <Button
-            android:id="@+id/sendButton"
-            android:layout_width="wrap_content"
+            android:background="@drawable/chat_background"
+            android:divider="#fff"
+            android:stackFromBottom="true"
+            android:transcriptMode="alwaysScroll" />
+
+        <androidx.constraintlayout.widget.ConstraintLayout
+            android:id="@+id/mediaPreviewConstraintLayout"
+            android:layout_width="match_parent"
             android:layout_height="wrap_content"
-            android:text="Generate" />
+            android:background="#16293D"
+            android:visibility="gone">
+
+            <HorizontalScrollView
+                android:id="@+id/mediaPreviewScrollView"
+                android:layout_width="match_parent"
+                android:layout_height="wrap_content"
+                android:padding="5dp"
+                app:layout_constraintEnd_toStartOf="@id/mediaPreviewCloseButton"
+                app:layout_constraintStart_toStartOf="parent"
+                app:layout_constraintTop_toTopOf="parent">
+
+                <LinearLayout
+                    android:layout_width="wrap_content"
+                    android:layout_height="wrap_content"
+                    android:orientation="horizontal">
+
+                    <ImageView
+                        android:id="@+id/mediaPreviewImageView1"
+                        android:layout_width="80dp"
+                        android:layout_height="80dp"
+                        android:visibility="gone"
+                        app:srcCompat="@drawable/ic_launcher_foreground" />
+
+                    <ImageView
+                        android:id="@+id/mediaPreviewImageView2"
+                        android:layout_width="80dp"
+                        android:layout_height="80dp"
+                        android:layout_marginStart="10dp"
+                        android:visibility="gone"
+                        app:srcCompat="@drawable/ic_launcher_foreground" />
+
+                    <ImageView
+                        android:id="@+id/mediaPreviewImageView3"
+                        android:layout_width="80dp"
+                        android:layout_height="80dp"
+                        android:layout_marginStart="10dp"
+                        android:visibility="gone"
+                        app:srcCompat="@drawable/ic_launcher_foreground" />
+
+                    <ImageView
+                        android:id="@+id/mediaPreviewImageView4"
+                        android:layout_width="80dp"
+                        android:layout_height="80dp"
+                        android:layout_marginStart="10dp"
+                        android:visibility="gone"
+                        app:srcCompat="@drawable/ic_launcher_foreground" />
+
+                    <ImageView
+                        android:id="@+id/mediaPreviewImageView5"
+                        android:layout_width="80dp"
+                        android:layout_height="80dp"
+                        android:layout_marginStart="10dp"
+                        android:visibility="gone"
+                        app:srcCompat="@drawable/ic_launcher_foreground" />
+
+                    <ImageButton
+                        android:id="@+id/addMoreImageButton"
+                        android:layout_width="80dp"
+                        android:layout_height="80dp"
+                        android:background="#16293D"
+                        android:padding="5dp"
+                        android:src="@drawable/outline_add_box_48" />
+
+
+                </LinearLayout>
+
+
+            </HorizontalScrollView>
+
+            <ImageButton
+                android:id="@+id/mediaPreviewCloseButton"
+                android:layout_width="24dp"
+                android:layout_height="24dp"
+                android:background="@android:color/transparent"
+                android:padding="5dp"
+                android:src="@drawable/baseline_close_24"
+                app:layout_constraintEnd_toEndOf="parent"
+                app:layout_constraintTop_toTopOf="parent" />
+
+
+        </androidx.constraintlayout.widget.ConstraintLayout>
+
+        <LinearLayout
+            android:layout_width="match_parent"
+            android:layout_height="wrap_content"
+            android:background="#16293D"
+            android:orientation="horizontal">
+
+            <ImageButton
+                android:id="@+id/addMediaButton"
+                android:layout_width="wrap_content"
+                android:layout_height="wrap_content"
+                android:background="@android:color/transparent"
+                android:padding="10dp"
+                android:src="@drawable/baseline_add_24" />
+
+            <EditText
+                android:id="@+id/editTextMessage"
+                android:layout_width="match_parent"
+                android:layout_height="35dp"
+                android:layout_weight="2"
+                android:background="@drawable/input_text_shape"
+                android:ems="8"
+                android:inputType="text"
+                android:paddingHorizontal="10dp"
+                android:text=""
+                android:textColor="#ffffff"
+                android:textColorHint="#ffffff"
+                android:translationY="5dp" />
+
+            <ImageButton
+                android:id="@+id/sendButton"
+                android:layout_width="wrap_content"
+                android:layout_height="wrap_content"
+                android:background="@android:color/transparent"
+                android:padding="10dp"
+                android:src="@drawable/baseline_send_24" />
+        </LinearLayout>
+
+        <LinearLayout
+            android:id="@+id/addMediaLayout"
+            android:layout_width="match_parent"
+            android:layout_height="wrap_content"
+            android:background="#16293D"
+            android:orientation="vertical">
+
+            <LinearLayout
+                android:layout_width="wrap_content"
+                android:layout_height="match_parent"
+                android:layout_gravity="center"
+                android:orientation="horizontal"
+                android:paddingTop="20dp"
+                android:paddingBottom="20dp">
+
+                <ImageButton
+                    android:id="@+id/cameraButton"
+                    android:layout_width="80dp"
+                    android:layout_height="80dp"
+                    android:background="@drawable/custom_button_round"
+                    android:src="@drawable/outline_camera_alt_48" />
+
+                <ImageButton
+                    android:id="@+id/galleryButton"
+                    android:layout_width="80dp"
+                    android:layout_height="80dp"
+                    android:layout_marginStart="40dp"
+                    android:background="@drawable/custom_button_round"
+                    android:src="@drawable/outline_image_48" />
+            </LinearLayout>
+        </LinearLayout>
+
     </LinearLayout>
 </LinearLayout>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/activity_settings.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/activity_settings.xml
new file mode 100644
index 0000000000..7d5c3b1b6d
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/activity_settings.xml
@@ -0,0 +1,295 @@
+<?xml version="1.0" encoding="utf-8"?>
+<androidx.constraintlayout.widget.ConstraintLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:app="http://schemas.android.com/apk/res-auto"
+    xmlns:tools="http://schemas.android.com/tools"
+    android:id="@+id/main"
+    android:layout_width="match_parent"
+    android:layout_height="match_parent"
+    tools:context=".SettingsActivity">
+
+    <LinearLayout
+        android:layout_width="match_parent"
+        android:layout_height="match_parent"
+        android:background="#16293D"
+        android:orientation="vertical"
+        app:layout_constraintTop_toTopOf="parent"
+        tools:layout_editor_absoluteX="1dp">
+
+        <TextView
+            android:id="@+id/textView"
+            android:layout_width="match_parent"
+            android:layout_height="wrap_content"
+            android:fontFamily="sans-serif-medium"
+            android:text="Settings"
+            android:textAlignment="viewStart"
+            android:textColor="#FFFFFF"
+            android:textSize="22sp"
+            android:translationX="5dp"
+            android:translationY="5dp" />
+
+        <LinearLayout
+            android:layout_width="match_parent"
+            android:layout_height="wrap_content"
+            android:layout_marginTop="40dp"
+            android:orientation="horizontal">
+
+            <TextView
+                android:id="@+id/modelLabel"
+                android:layout_width="wrap_content"
+                android:layout_height="wrap_content"
+                android:gravity="center_vertical"
+                android:text="Model"
+                android:textColor="#FFFFFF"
+                android:textSize="16sp"
+                android:translationX="5dp" />
+
+            <TextView
+                android:id="@+id/modelTextView"
+                android:layout_width="0dp"
+                android:layout_height="match_parent"
+                android:layout_weight="1"
+                android:gravity="center_vertical|end"
+                android:text="no model selected"
+                android:textColor="#FFFFFF" />
+
+            <ImageButton
+                android:id="@+id/modelImageButton"
+                android:layout_width="wrap_content"
+                android:layout_height="wrap_content"
+                android:layout_marginStart="5dp"
+                android:background="#00FFFFFF"
+                android:scaleType="center"
+                android:scaleX="0.7"
+                android:scaleY="0.7"
+                android:src="@drawable/expand_circle_down" />
+
+        </LinearLayout>
+
+        <LinearLayout
+            android:layout_width="match_parent"
+            android:layout_height="wrap_content"
+            android:layout_marginTop="20dp"
+            android:orientation="horizontal">
+
+            <TextView
+                android:id="@+id/tokenizerLabel"
+                android:layout_width="wrap_content"
+                android:layout_height="wrap_content"
+                android:gravity="center_vertical"
+                android:text="Tokenizer"
+                android:textColor="#FDFDFD"
+                android:textSize="16sp"
+                android:translationX="5dp" />
+
+            <TextView
+                android:id="@+id/tokenizerTextView"
+                android:layout_width="0dp"
+                android:layout_height="match_parent"
+                android:layout_weight="1"
+                android:gravity="center_vertical|end"
+                android:text="no tokenizer selected"
+                android:textColor="#FFFFFF" />
+
+            <ImageButton
+                android:id="@+id/tokenizerImageButton"
+                android:layout_width="wrap_content"
+                android:layout_height="wrap_content"
+                android:layout_marginStart="5dp"
+                android:background="#00FFFFFF"
+                android:scaleX="0.7"
+                android:scaleY="0.7"
+                android:src="@drawable/expand_circle_down" />
+
+        </LinearLayout>
+
+        <LinearLayout
+            android:layout_width="match_parent"
+            android:layout_height="wrap_content"
+            android:layout_marginTop="20dp"
+            android:orientation="horizontal">
+
+            <TextView
+                android:id="@+id/modelTypeLabel"
+                android:layout_width="wrap_content"
+                android:layout_height="wrap_content"
+                android:gravity="center_vertical"
+                android:text="Model Type"
+                android:textColor="#FFFFFF"
+                android:textSize="16sp"
+                android:translationX="5dp" />
+
+            <TextView
+                android:id="@+id/modelTypeTextView"
+                android:layout_width="0dp"
+                android:layout_height="match_parent"
+                android:layout_weight="1"
+                android:gravity="center_vertical|end"
+                android:text="no model type selected"
+                android:textColor="#FFFFFF" />
+
+            <ImageButton
+                android:id="@+id/modelTypeImageButton"
+                android:layout_width="wrap_content"
+                android:layout_height="wrap_content"
+                android:layout_marginStart="5dp"
+                android:background="#00FFFFFF"
+                android:scaleX="0.7"
+                android:scaleY="0.7"
+                android:src="@drawable/expand_circle_down" />
+
+        </LinearLayout>
+
+        <Button
+            android:id="@+id/loadModelButton"
+            android:layout_width="wrap_content"
+            android:layout_height="wrap_content"
+            android:layout_gravity="center"
+            android:layout_marginTop="10dp"
+            android:paddingHorizontal="10dp"
+            android:text="Load Model"
+            android:textColor="@android:color/white"
+            android:textSize="14sp"
+            android:theme="@style/DefaultButton" />
+
+        <TextView
+            android:id="@+id/textView4"
+            android:layout_width="match_parent"
+            android:layout_height="wrap_content"
+            android:layout_marginTop="20dp"
+            android:layout_marginBottom="20dp"
+            android:text="Parameters"
+            android:textColor="#FFFFFF"
+            android:textSize="18sp"
+            android:textStyle="bold"
+            android:translationX="5dp" />
+
+        <LinearLayout
+            android:layout_width="match_parent"
+            android:layout_height="wrap_content"
+            android:layout_marginBottom="10dp"
+            android:orientation="horizontal">
+
+            <TextView
+                android:id="@+id/textView5"
+                android:layout_width="150dp"
+                android:layout_height="wrap_content"
+                android:text="Temperature"
+                android:textColor="#FFFFFF"
+                android:textSize="16sp"
+                android:translationX="5dp" />
+
+            <EditText
+                android:id="@+id/temperatureEditText"
+                android:layout_width="wrap_content"
+                android:layout_height="wrap_content"
+                android:layout_weight="1"
+                android:ems="10"
+                android:inputType="numberDecimal"
+                android:text="0.1"
+                android:textAlignment="textEnd"
+                android:textColor="#FFFFFF"
+                android:textColorHint="#FFFFFF"
+                android:textSize="16sp" />
+        </LinearLayout>
+
+        <LinearLayout
+            android:layout_width="match_parent"
+            android:layout_height="wrap_content"
+            android:layout_marginBottom="10dp"
+            android:orientation="vertical">
+
+            <LinearLayout
+                android:layout_width="match_parent"
+                android:layout_height="wrap_content"
+                android:orientation="horizontal">
+
+                <TextView
+                    android:id="@+id/systemPromptTitle"
+                    android:layout_width="wrap_content"
+                    android:layout_height="wrap_content"
+                    android:layout_marginTop="20dp"
+                    android:layout_marginBottom="20dp"
+                    android:text="System Prompt"
+                    android:textColor="#FFFAFA"
+                    android:textSize="18sp"
+                    android:textStyle="bold"
+                    android:translationX="5dp" />
+
+                <ImageButton
+                    android:id="@+id/resetSystemPrompt"
+                    android:layout_width="wrap_content"
+                    android:layout_height="wrap_content"
+                    android:layout_marginTop="10dp"
+                    android:backgroundTint="@android:color/transparent"
+                    android:src="@drawable/baseline_restart_alt_24" />
+            </LinearLayout>
+
+
+            <EditText
+                android:id="@+id/systemPromptText"
+                android:layout_width="match_parent"
+                android:layout_height="wrap_content"
+                android:height="60dp"
+                android:background="@drawable/prompt_shape"
+                android:hint="Type custom system prompt"
+                android:textColor="#FFFFFF"
+                android:textColorHint="#FFFCFC"
+                android:textSize="16sp" />
+        </LinearLayout>
+
+        <LinearLayout
+            android:layout_width="match_parent"
+            android:layout_height="wrap_content"
+            android:layout_marginBottom="10dp"
+            android:orientation="vertical">
+
+            <LinearLayout
+                android:layout_width="match_parent"
+                android:layout_height="wrap_content"
+                android:orientation="horizontal">
+
+                <TextView
+                    android:id="@+id/userPromptTitle"
+                    android:layout_width="wrap_content"
+                    android:layout_height="wrap_content"
+                    android:layout_marginTop="20dp"
+                    android:layout_marginBottom="20dp"
+                    android:text="Prompt Format"
+                    android:textColor="#FFFFFF"
+                    android:textSize="18sp"
+                    android:textStyle="bold"
+                    android:translationX="5dp" />
+
+                <ImageButton
+                    android:id="@+id/resetUserPrompt"
+                    android:layout_width="wrap_content"
+                    android:layout_height="wrap_content"
+                    android:layout_marginTop="10dp"
+                    android:backgroundTint="@android:color/transparent"
+                    android:src="@drawable/baseline_restart_alt_24" />
+
+            </LinearLayout>
+
+            <EditText
+                android:id="@+id/userPromptText"
+                android:layout_width="match_parent"
+                android:layout_height="69dp"
+                android:background="@drawable/prompt_shape"
+                android:text="USER_PROMPT tags"
+                android:textColor="#FFFFFF"
+                android:textSize="16sp" />
+        </LinearLayout>
+
+        <Button
+            android:id="@+id/clearChatButton"
+            android:layout_width="wrap_content"
+            android:layout_height="wrap_content"
+            android:layout_gravity="center"
+            android:text="Clear Chat History"
+            android:textColor="@android:color/white"
+            android:theme="@style/DefaultButton" />
+
+    </LinearLayout>
+
+
+</androidx.constraintlayout.widget.ConstraintLayout>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/logs_message.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/logs_message.xml
new file mode 100644
index 0000000000..3f80f58db6
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/logs_message.xml
@@ -0,0 +1,16 @@
+<?xml version="1.0" encoding="utf-8"?>
+<LinearLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:app="http://schemas.android.com/apk/res-auto"
+    xmlns:tools="http://schemas.android.com/tools"
+    android:layout_width="match_parent"
+    android:layout_height="wrap_content"
+    android:layout_marginTop="10dp">
+
+        <TextView
+            android:id="@+id/logsTextView"
+            android:layout_width="match_parent"
+            android:layout_height="wrap_content"
+            android:padding="8dp"
+            android:text="TextView" />
+
+</LinearLayout>
\ No newline at end of file
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/received_message.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/received_message.xml
index 770a257ca8..bffedf30c8 100644
--- a/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/received_message.xml
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/received_message.xml
@@ -9,34 +9,62 @@
 
     <TextView
         android:id="@+id/name"
-        android:layout_marginLeft="15dp"
         android:layout_width="wrap_content"
         android:layout_height="wrap_content"
+        android:layout_marginLeft="15dp"
         android:paddingBottom="4dp"
-        android:text="LLaMA"/>
+        android:text="Llama"
+        android:textColor="#FFFFFF" />
 
     <TextView
+        android:id="@+id/message_text"
         android:layout_width="wrap_content"
         android:layout_height="wrap_content"
-        android:id="@+id/message_text"
         android:layout_below="@+id/name"
         android:layout_alignLeft="@+id/name"
         android:background="@drawable/received_message"
-        android:paddingVertical="12dp"
-        android:paddingHorizontal="16dp"
         android:elevation="2dp"
-        android:textSize="18dp"
+        android:paddingHorizontal="16dp"
+        android:paddingVertical="12dp"
         android:text="Generated text"
-        />
-
+        android:textColor="#FFFFFF"
+        android:textSize="16sp" />
 
-    <TextView
-        android:id="@+id/tokens_per_second"
-        android:layout_marginLeft="15dp"
+    <LinearLayout
+        android:id="@+id/subtitles"
         android:layout_width="wrap_content"
         android:layout_height="wrap_content"
-        android:layout_below="@+id/message_text"
-        android:paddingBottom="4dp"
-        android:text=""/>
+        android:layout_below="@+id/message_text">
+
+        <TextView
+            android:id="@+id/timestamp"
+            android:layout_width="wrap_content"
+            android:layout_height="wrap_content"
+            android:layout_marginLeft="15dp"
+            android:paddingLeft="4dp"
+            android:paddingBottom="4dp"
+            android:text=""
+            android:textColor="#FFFFFF" />
+
+        <TextView
+            android:id="@+id/bar"
+            android:layout_width="wrap_content"
+            android:layout_height="wrap_content"
+            android:layout_marginLeft="15dp"
+            android:paddingLeft="4dp"
+            android:paddingBottom="4dp"
+            android:text="|"
+            android:textColor="#FFFFFF"
+            android:visibility="gone" />
 
+        <TextView
+            android:id="@+id/generation_metrics"
+            android:layout_width="wrap_content"
+            android:layout_height="wrap_content"
+            android:layout_marginLeft="15dp"
+            android:layout_toRightOf="@+id/bar"
+            android:paddingBottom="4dp"
+            android:text=""
+            android:textColor="#FDFDFD" />
+    </LinearLayout>
 </RelativeLayout>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/sent_message.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/sent_message.xml
index b8121e973e..a04254e38a 100644
--- a/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/sent_message.xml
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/sent_message.xml
@@ -1,5 +1,7 @@
 <?xml version="1.0" encoding="utf-8"?>
 <RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:app="http://schemas.android.com/apk/res-auto"
+    xmlns:tools="http://schemas.android.com/tools"
     android:layout_width="match_parent"
     android:layout_height="wrap_content"
     android:paddingVertical="10dp"
@@ -7,28 +9,55 @@
     android:paddingLeft="60dp"
     android:clipToPadding="false">
 
-    <TextView
-        android:id="@+id/name"
-        android:layout_marginRight="15dp"
+    <LinearLayout
+        android:id="@+id/message_content"
         android:layout_width="wrap_content"
         android:layout_height="wrap_content"
-        android:paddingBottom="4dp"
         android:layout_alignParentRight="true"
-        android:text="Prompt"/>
+        android:orientation="vertical">
+
+        <TextView
+            android:id="@+id/name"
+            android:layout_width="wrap_content"
+            android:layout_height="wrap_content"
+            android:layout_above="@+id/message_text"
+            android:layout_alignParentTop="true"
+            android:layout_alignParentRight="true"
+            android:layout_marginRight="15dp"
+            android:paddingBottom="4dp"
+            android:textColor="#FFFFFF" />
+
+        <TextView
+            android:id="@+id/message_text"
+            android:layout_width="wrap_content"
+            android:layout_height="wrap_content"
+            android:layout_alignParentRight="true"
+            android:background="@drawable/sent_message"
+            android:elevation="2dp"
+            android:padding="10dp"
+            android:text="My prompt"
+            android:textColor="#fff"
+            android:textSize="16sp" />
+
+        <ImageView
+            android:id="@+id/message_image"
+            android:layout_width="wrap_content"
+            android:layout_height="wrap_content"
+            android:layout_alignParentEnd="true"
+            android:adjustViewBounds="true"
+            tools:srcCompat="@tools:sample/avatars" />
+
+    </LinearLayout>
 
     <TextView
+        android:id="@+id/timestamp"
         android:layout_width="wrap_content"
         android:layout_height="wrap_content"
-        android:id="@+id/message_text"
-        android:layout_below="@+id/name"
-        android:layout_alignRight="@+id/name"
-        android:background="@drawable/sent_message"
-        android:textColor="#fff"
-        android:padding="10dp"
-        android:elevation="2dp"
-        android:textSize="18dp"
+        android:layout_below="@+id/message_content"
         android:layout_alignParentRight="true"
-        android:text="My prompt"
-        />
+        android:layout_marginRight="10dp"
+        android:paddingBottom="4dp"
+        android:text=""
+        android:textColor="#FFFFFF" />
 
 </RelativeLayout>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/system_message.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/system_message.xml
new file mode 100644
index 0000000000..bd3cfef228
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/layout/system_message.xml
@@ -0,0 +1,23 @@
+<?xml version="1.0" encoding="utf-8"?>
+<RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    android:layout_width="match_parent"
+    android:layout_height="wrap_content"
+    android:paddingVertical="10dp"
+    android:paddingLeft="15dp"
+    android:paddingRight="60dp"
+    android:clipToPadding="false">
+
+    <TextView
+        android:id="@+id/message_text"
+        android:layout_width="wrap_content"
+        android:layout_height="wrap_content"
+        android:layout_centerHorizontal="true"
+        android:elevation="2dp"
+        android:paddingHorizontal="16dp"
+        android:paddingVertical="12dp"
+        android:text="Generated text"
+        android:textAlignment="center"
+        android:textColor="#9C9C9C"
+        android:textSize="15dp" />
+
+</RelativeLayout>
\ No newline at end of file
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/values/colors.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/values/colors.xml
index 4faecfa80d..069727f3eb 100644
--- a/examples/demo-apps/android/LlamaDemo/app/src/main/res/values/colors.xml
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/values/colors.xml
@@ -1,6 +1,10 @@
 <?xml version="1.0" encoding="utf-8"?>
 <resources>
-    <color name="colorPrimary">#6200EE</color>
+    <color name="colorPrimary">#4294F0</color>
     <color name="colorPrimaryDark">#3700B3</color>
     <color name="colorAccent">#03DAC5</color>
-</resources>
\ No newline at end of file
+    <color name="btn_enabled">#007CBA</color>
+    <color name="btn_disabled">#A2A4B6</color>
+    <color name="nav_bar">#16293D</color>
+    <color name="status_bar">#16293D</color>
+</resources>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/values/strings.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/values/strings.xml
index 83f46e62b2..93eac791b7 100644
--- a/examples/demo-apps/android/LlamaDemo/app/src/main/res/values/strings.xml
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/values/strings.xml
@@ -1,3 +1,7 @@
 <resources>
     <string name="app_name">ExecuTorchLlamaDemo</string>
+    <string name="demo_pref_file_key">DemoPrefFileKey</string>
+    <string name="saved_messages_json_key">SavedMessagesJsonKey</string>
+    <string name="settings_json_key">SettingsJsonKey</string>
+    <string name="logs_json_key">LogsJsonKey</string>
 </resources>
diff --git a/examples/demo-apps/android/LlamaDemo/app/src/main/res/values/styles.xml b/examples/demo-apps/android/LlamaDemo/app/src/main/res/values/styles.xml
index 391ec9ae3b..387804aa1c 100644
--- a/examples/demo-apps/android/LlamaDemo/app/src/main/res/values/styles.xml
+++ b/examples/demo-apps/android/LlamaDemo/app/src/main/res/values/styles.xml
@@ -7,4 +7,8 @@
         <item name="colorAccent">@color/colorAccent</item>
     </style>
 
+    <style name="DefaultButton" parent="Theme.AppCompat.Light.DarkActionBar">
+        <item name="colorButtonNormal">@drawable/btn</item>
+        <item name="android:textColor">@color/colorPrimaryDark</item>
+    </style>
 </resources>
diff --git a/examples/demo-apps/android/LlamaDemo/docs/delegates/mediatek_README.md b/examples/demo-apps/android/LlamaDemo/docs/delegates/mediatek_README.md
new file mode 100644
index 0000000000..44b7636060
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/docs/delegates/mediatek_README.md
@@ -0,0 +1,157 @@
+# Building ExecuTorch Android Demo for Llama running MediaTek
+This tutorial covers the end to end workflow for running Llama 3-8B-instruct inference on MediaTek AI accelerators on an Android device.
+More specifically, it covers:
+1. Export and quantization of Llama models against the MediaTek backend.
+2. Building and linking libraries that are required to inference on-device for Android platform using MediaTek AI accelerators.
+3. Loading the needed files on the device and running inference.
+
+Verified on MacOS, Linux CentOS (model export), Python 3.10, Android NDK 25.0.8775105
+Phone verified: MediaTek Dimensity 9300 (D9300) chip.
+
+## Prerequisites
+* Download and link the Buck2 build, Android NDK, and MediaTek ExecuTorch Libraries from the MediaTek Backend Readme ([link](https://github.com/pytorch/executorch/tree/main/backends/mediatek/scripts#prerequisites)).
+* MediaTek Dimensity 9300 (D9300) chip device
+* Desired Llama 3 model weights. You can download them on HuggingFace [Example](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)).
+* `libneuronusdk_adapter.mtk.so`,  `libneuron_buffer_allocator.so`, and `.whl` files  (will be available soon by MediaTek)
+
+## Setup ExecuTorch
+In this section, we will need to set up the ExecuTorch repo first with Conda environment management. Make sure you have Conda available in your system (or follow the instructions to install it [here](https://anaconda.org/anaconda/conda)). The commands below are running on Linux (CentOS).
+
+Create a Conda environment
+```
+conda create -yn et_mtk python=3.10.0
+conda activate et_mtk
+```
+
+Checkout ExecuTorch repo and sync submodules
+```
+git clone https://github.com/pytorch/executorch.git
+cd executorch
+git submodule sync
+git submodule update --init
+```
+Install dependencies
+```
+./install_requirements.sh
+```
+## Setup Environment Variables
+### Download Buck2 and make executable
+* Download Buck2 from the official [Release Page](https://github.com/facebook/buck2/releases/tag/2024-02-01)
+* Create buck2 executable
+```
+zstd -cdq "<downloaded_buck2_file>.zst" > "<path_to_store_buck2>/buck2" && chmod +x "<path_to_store_buck2>/buck2"
+```
+
+### MediaTek ExecuTorch Libraries
+The following libraries will be available soon by MediaTek:
+libneuronusdk_adapter.mtk.so: This universal SDK contains the implementation required for executing target-dependent code on the MediaTek chip.
+libneuron_buffer_allocator.so: This utility library is designed for allocating DMA buffers necessary for model inference.
+
+### Set Environment Variables
+```
+export BUCK2=path_to_buck/buck2 # Download BUCK2 and create BUCK2 executable
+export ANDROID_NDK=path_to_android_ndk
+export NEURON_BUFFER_ALLOCATOR_LIB=path_to_buffer_allocator/libneuron_buffer_allocator.so
+```
+
+## Build Backend and MTK Llama Runner
+Next we need to build and compile the MTK backend and MTK Llama runner.
+```
+cd examples/mediatek
+./mtk_build_examples.sh
+```
+
+This will generate a cmake-android-out folder that will contain a runner executable for inferring with Llama models and another library file:
+* `cmake-android-out/examples/mediatek/mtk_llama_executor_runner`
+* `cmake-android-out/backends/mediatek/libneuron_backend.so`
+
+## Export Llama Model
+MTK currently supports Llama 3 exporting.
+
+### Set up Environment
+1. Follow the ExecuTorch set-up environment instructions found on the [Getting Started](https://pytorch.org/executorch/stable/getting-started-setup.html) page
+2. Set-up MTK AoT environment
+```
+// Ensure that you are inside executorch/examples/mediatek directory
+pip3 install -r requirements.txt
+
+// The following .whl file will be available soon
+pip3 install mtk_neuron-8.2.2-py3-none-linux_x86_64.whl
+pip3 install mtk_converter-8.8.0.dev20240723+public.d1467db9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
+```
+
+This was tested with transformers version 4.40 and numpy version 1.23. If you do not have these version then, use the following commands:
+```
+pip install transformers==4.40
+
+pip install numpy=1.23
+```
+
+### Running Export
+Prior to exporting, place the config.json, relevant tokenizer files and .bin or .safetensor weight files in `examples/mediatek/models/llm_models/weights`.
+
+Here is an export example ([details](https://github.com/pytorch/executorch/tree/main/examples/mediatek#aot-flow)):
+```
+cd examples/mediatek
+# num_chunks=4, num_tokens=128, cache_size=512
+source shell_scripts/export_llama.sh llama3 "" "" "" alpaca.txt
+```
+
+There will be 3 main set of files generated:
+* num_chunks*2 pte files: half are for prompt and the other half are for generation. Generation pte files are denoted by “1t” in the file name.
+* Token embedding bin file: located in the weights folder where `config.json` is placed (`examples/mediatek/modes/llm_models/weight/<model_name>/embedding_<model_name>_fp32.bin`)
+* Tokenizer file: `tokenizer.model` file
+
+Note: Exporting model flow can take 2.5 hours (114GB RAM for num_chunks=4) to complete. (Results may vary depending on hardware)
+
+Before continuing forward, make sure to modify the tokenizer, token embedding, and model paths in the  examples/mediatek/executor_runner/run_llama3_sample.sh.
+
+## Deploy Files on Device
+
+### Prepare to Deploy
+Prior to deploying the files on device, make sure to modify the tokenizer, token embedding, and model file names in  examples/mediatek/executor_runner/run_llama3_sample.sh reflect what was generated during the Export Llama Model step.
+
+<p align="center">
+<img src="../screenshots/mtk_changes_to_shell_file.png" width=600>
+</p>
+
+In addition, create a sample_prompt.txt file with a prompt. This will be deployed to the device in the next step.
+* Example content of a sample_prompt.txt file:
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+You are a helpful AI assistant for travel tips and recommendations<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+What can you help me with?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+```
+
+### Deploy
+First, make sure your Android phone’s chipset version is compatible with this demo (MediaTek Dimensity 9300 (D9300)) chip. Once you have the model, tokenizer, and runner generated ready, you can push them and the .so files to the device before we start running using the runner via shell.
+
+```
+adb shell mkdir -p /data/local/tmp/llama
+adb push examples/mediatek/executor_runner/run_llama3_sample.sh /data/local/tmp/llama
+adb push sample_prompt.txt /data/local/tmp/llama
+adb push cmake-android-out/examples/mediatek/mtk_llama_executor_runner /data/local/tmp/llama
+adb push cmake-android-out/backends/mediatek/libneuron_backend.so /data/local/tmp/llama
+adb push libneuron_buffer_allocator.so /data/local/tmp/llama
+adb push libneuronusdk_adapter.mtk.so /data/local/tmp/llama
+adb push embedding_<model_name>_fp32.bin /data/local/tmp/llama
+adb push tokenizer.model /data/local/tmp/llama
+```
+
+## Run Demo
+At this point we have pushed all the required files on the device and we are ready to run the demo!
+```
+adb shell
+
+<android_device>:/ $ cd data/local/tmp/llama
+<android_device>:/data/local/tmp/llama $ sh run_llama3_sample.sh
+```
+
+<p align="center">
+<img src="../screenshots/mtk_output.png" width=800>
+</p>
+
+## Reporting Issues
+If you encountered any bugs or issues following this tutorial please file a bug/issue here on [Github](https://github.com/pytorch/executorch/issues/new).
diff --git a/examples/demo-apps/android/LlamaDemo/docs/delegates/qualcomm_README.md b/examples/demo-apps/android/LlamaDemo/docs/delegates/qualcomm_README.md
new file mode 100644
index 0000000000..18cd32877a
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/docs/delegates/qualcomm_README.md
@@ -0,0 +1,228 @@
+# Building ExecuTorch Android Demo App for Llama running Qualcomm
+
+This tutorial covers the end to end workflow for building an android demo app using Qualcomm AI accelerators on device.
+More specifically, it covers:
+1. Export and quantization of Llama models against the Qualcomm backend.
+2. Building and linking libraries that are required to inference on-device for Android platform using Qualcomm AI accelerators.
+3. Building the Android demo app itself.
+
+Verified on Linux CentOS, QNN SDK [v2.26](https://softwarecenter.qualcomm.com/api/download/software/qualcomm_neural_processing_sdk/v2.26.0.240828.zip), python 3.10, Android SDK r27 and r26b.
+
+Phone verified: OnePlus 12, Samsung 24+, Samsung 23
+
+## Prerequisites
+* Download and unzip QNN SDK [v2.26](https://softwarecenter.qualcomm.com/api/download/software/qualcomm_neural_processing_sdk/v2.26.0.240828.zip)
+* Download and unzip Android SDK [r27](https://developer.android.com/ndk/downloads)
+* Android phone with Snapdragon8 Gen3 (SM8650) or Gen2 (SM8550). Gen 1 and lower SoC might be supported but not fully validated.
+* Desired Llama model weights in .PTH format. You can download them on HuggingFace ([Example](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)).
+
+## Setup ExecuTorch
+In this section, we will need to set up the ExecuTorch repo first with Conda environment management. Make sure you have Conda available in your system (or follow the instructions to install it [here](https://anaconda.org/anaconda/conda)). The commands below are running on Linux (CentOS).
+
+Create a Conda environment
+```
+conda create -n et_qnn python=3.10.0
+conda activate et_qnn
+```
+
+Checkout ExecuTorch repo and sync submodules
+```
+git clone https://github.com/pytorch/executorch.git
+cd executorch
+git submodule sync
+git submodule update --init
+```
+Install dependencies
+```
+./install_requirements.sh
+```
+
+## Setup QNN
+```
+# Set these variables correctly for your environment
+export ANDROID_NDK_ROOT=$HOME/android-ndk-r27 # Download android SDK and unzip to home directory
+export QNN_SDK_ROOT=$HOME/Your-SDK-Root #Folder contains lib
+export EXECUTORCH_ROOT=$HOME/repos/executorch
+export LD_LIBRARY_PATH=$QNN_SDK_ROOT/lib/x86_64-linux-clang/:$LD_LIBRARY_PATH
+export PYTHONPATH=$EXECUTORCH_ROOT/..
+cp schema/program.fbs exir/_serialize/program.fbs
+cp schema/scalar_type.fbs exir/_serialize/scalar_type.fbs
+```
+
+### Build QNN backend with ExecuTorch
+```
+./backends/qualcomm/scripts/build.sh --release
+
+cmake -DPYTHON_EXECUTABLE=python \
+    -DCMAKE_INSTALL_PREFIX=cmake-out \
+    -DEXECUTORCH_ENABLE_LOGGING=1 \
+    -DCMAKE_BUILD_TYPE=Release \
+    -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
+    -DEXECUTORCH_BUILD_QNN=ON \
+    -DQNN_SDK_ROOT=${QNN_SDK_ROOT} \
+    -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
+    -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
+    -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
+    -Bcmake-out .
+cmake --build cmake-out -j16 --target install --config Release
+```
+
+
+
+### Setup Llama Runner
+Next we need to build and compile the Llama runner. This is similar to the requirements for running Llama with XNNPack.
+```
+sh examples/models/llama2/install_requirements.sh
+
+cmake -DPYTHON_EXECUTABLE=python \
+    -DCMAKE_INSTALL_PREFIX=cmake-out \
+    -DCMAKE_BUILD_TYPE=Release \
+    -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
+    -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
+    -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
+    -DEXECUTORCH_BUILD_QNN=ON \
+    -Bcmake-out/examples/models/llama2 \
+    examples/models/llama2
+cmake --build cmake-out/examples/models/llama2 -j16 --config Release
+```
+
+## Export Llama Model
+QNN backend currently supports exporting to these data types: fp32, int4/ int8 with PTQ, int4 with SpinQuant (Llama 3 only).
+
+We also support export for different Qualcomm SoC. We have verified SM8650(V75) and SM8550(V73). To export for different SoC, add “--soc_model SM8550” in your export command. Without setting this flag, the export will default to SM8650.
+
+### Export with PTQ
+We support PTQ by default. The entire export may take ~20 minutes (Llama 3.1 8B). However, there is accuracy regression and we are working on improving it.
+8B models might need 16GB RAM on the device to run.
+
+Examples:
+```
+# 4 bits weight only quantize
+python -m examples.models.llama2.export_llama --checkpoint "${MODEL_DIR}/consolidated.00.pth" -p "${MODEL_DIR}/params.json" -kv --disable_dynamic_shape --qnn --pt2e_quantize qnn_16a4w -d fp32 --metadata '{"get_bos_id":128000, "get_eos_ids":[128009, 128001]}' --output_name="test.pte”
+```
+If the model is really big, it may require model sharding because the Qualcomm DSP is a 32bit system and has a 4GB size limit . For example for Llama 3 8B models, we need to shard the model into 4, but ExecuTorch still packages it into one PTE file. Here is an example:
+```
+# 8 bits quantization with 4 shards
+python -m examples.models.llama2.export_llama --checkpoint "${MODEL_DIR}/consolidated.00.pth" -p "${MODEL_DIR}/params.json" -kv --disable_dynamic_shape --qnn --pt2e_quantize qnn_8a8w -d fp32 --num_sharding 4 --metadata '{"get_bos_id":128000, "get_eos_ids":[128009, 128001]}' --output_name="test.pte”
+```
+Note: if you encountered issues below
+```
+[ERROR] [Qnn ExecuTorch]: Cannot Open QNN library libQnnHtp.so, with error: libc++.so.1: cannot open shared object file: No such file or directory
+```
+
+Resolve by:
+
+* Install older QNN such as 2.23 or below and copy it from ${QNN_SDK_ROOT}/lib/x86_64-linux-clang
+* Install it with apt-get by yourself
+* Install it with script in ${QNN_SDK_ROOT}/bin/check-linux-dependency.sh
+You could refer to [QNN SDK document](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/setup.html?product=1601111740009302#linux-platform-dependencies)
+* Install it with Conda:
+```
+conda install -c conda-forge libcxx=14.0.0
+```
+
+After installment, you will need to check libc++.so.1 in your LD_LIBRARY_PATH or system lib. Refer to this [PR](https://github.com/pytorch/executorch/issues/5120) for more detail.
+
+You may also wonder what the "--metadata" flag is doing. This flag helps export the model with proper special tokens added that the runner can detect EOS tokens easily.
+
+Convert tokenizer for Llama 2
+```
+python -m extension.llm.tokenizer.tokenizer -t <tokenizer.model> -o tokenizer.bin
+```
+Convert tokenizer for Llama 3 - Rename tokenizer.model to tokenizer.bin.
+
+
+### Export with Spinquant (Llama 3 8B only)
+We also support Llama 3 8B for Spinquant where the accuracy regression is minimal.
+
+Deploying large language models like Llama 3 on-device presents the following challenges:
+* The model size is too large to fit in device memory for inference.
+* High model loading and inference time.
+* Difficulty in quantization.
+
+To address these challenges, we have implemented the following solutions:
+* Using --pt2e_quantize qnn_16a4w to quantize activations and weights, thereby reducing the on-disk model size and alleviating memory pressure during inference.
+* Using --num_sharding 8 to shard the model into sub-parts.
+* Performing graph transformations to convert or decompose operations into more accelerator-friendly operations.
+* Using --optimized_rotation_path <path_to_optimized_matrix> to apply R1 and R2 of [Spin Quant](https://github.com/facebookresearch/SpinQuant) to improve accuracy.
+* Using --calibration_data "<|start_header_id|>system<|end_header_id|..." to ensure that during the quantization of Llama 3 8B Instruct, the calibration includes special tokens in the prompt template. For more details on the prompt template, refer to the [model card](https://llama.meta.com/docs/model-cards-and-prompt-formats/meta-llama-3/) of meta llama3 instruct.
+
+To get the optimized matrix, please refer to [SpinQuant](https://github.com/facebookresearch/SpinQuant) on GitHub. You can download the optimized rotation matrices in the Quantized Models section. Please choose "LLaMA-3-8B/8B_W4A16KV16_lr_1.5_seed_0".
+
+To export Llama 3 8B instruct with the Qualcomm AI Engine Direct Backend, ensure the following:
+* The host machine has more than 100GB of memory (RAM + swap space).
+* The entire process takes a few hours.
+* 8B models might need 16GB RAM on the device to run.
+```
+# Please note that calibration_data must include the prompt template for special tokens.
+python -m examples.models.llama2.export_llama  -t <path_to_tokenizer.model> -p <path_to_params.json> -c <path_to_checkpoint_for_Meta-Llama-3-8B-Instruct>  --use_kv_cache  --qnn --pt2e_quantize qnn_16a4w --disable_dynamic_shape --num_sharding 8 --calibration_tasks wikitext --calibration_limit 1 --calibration_seq_length 128 --optimized_rotation_path <path_to_optimized_matrix> --calibration_data "<|start_header_id|>system<|end_header_id|>\n\nYou are a funny chatbot.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nCould you tell me about Facebook?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n"
+```
+
+## Pushing Model and Tokenizer
+
+Once you have the model and tokenizer ready, you can push them to the device before we start building the android demo app.
+```
+adb shell mkdir -p /data/local/tmp/llama
+adb push llama-exported.pte /data/local/tmp/llama
+adb push tokenizer.bin /data/local/tmp/llama
+```
+
+
+
+## Build AAR Library
+Open a terminal window and navigate to the root directory of the executorch.
+Set the following environment variables:
+```
+export ANDROID_NDK=<path_to_android_ndk>
+export ANDROID_ABI=arm64-v8a
+```
+Note: <path_to_android_ndk> is the root for the NDK, which is usually under ~/Library/Android/sdk/ndk/XX.Y.ZZZZZ for macOS, and contains NOTICE and README.md. We use <path_to_android_ndk>/build/cmake/android.toolchain.cmake for CMake to cross-compile.
+Build the Android Java extension code:
+```
+pushd extension/android
+./gradlew build
+popd
+```
+Run the following command set up the required JNI library:
+```
+pushd examples/demo-apps/android/LlamaDemo
+./gradlew :app:setupQnn
+popd
+```
+Alternative you can also just run the shell script directly as in the root directory:
+```
+sh examples/demo-apps/android/LlamaDemo/setup-with-qnn.sh
+```
+This is running the shell script which configures the required core ExecuTorch, Llama2/3, and Android libraries, builds them, and copies them to jniLibs.
+Note: If you are building the Android app mentioned in the next section on a separate machine (i.e. MacOS but building and exporting for QNN backend on Linux), make sure you copy the aar file generated from setup-with-qnn script to “examples/demo-apps/android/LlamaDemo/app/libs” before building the Android app.
+
+
+## Run the Android Demo App
+
+First, make sure your Android phone’s chipset version is compatible with this demo (SM8650, SM8550). You can find the Qualcomm chipset version here in the [mapping](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/overview.html).
+
+If you build and run the setup-with-qnn script on a separate machine rather than where you are building the Android app, make sure you copy the aar file it generated into “examples/demo-apps/android/LlamaDemo/app/libs”
+
+### Alternative 1: Android Studio (Recommended)
+Open Android Studio and select “Open an existing Android Studio project” to open examples/demo-apps/android/LlamaDemo.
+Run the app (^R). This builds and launches the app on the phone.
+
+### Alternative 2: Command line
+Without Android Studio UI, we can run gradle directly to build the app. We need to set up the Android SDK path and invoke gradle.
+```
+export ANDROID_HOME=<path_to_android_sdk_home>
+pushd examples/demo-apps/android/LlamaDemo
+./gradlew :app:installDebug
+popd
+```
+If the app successfully run on your device, you should see something like below:
+
+<p align="center">
+<img src="https://github.com/pytorch/executorch/blob/main/examples/demo-apps/android/LlamaDemo/docs/screenshots/opening_the_app_details.png" width=800>
+</p>
+
+## Reporting Issues
+If you encountered any bugs or issues following this tutorial please file a bug/issue here on Github.
diff --git a/examples/demo-apps/android/LlamaDemo/docs/delegates/xnnpack_README.md b/examples/demo-apps/android/LlamaDemo/docs/delegates/xnnpack_README.md
new file mode 100644
index 0000000000..754acba4b8
--- /dev/null
+++ b/examples/demo-apps/android/LlamaDemo/docs/delegates/xnnpack_README.md
@@ -0,0 +1,156 @@
+# Building ExecuTorch Android Demo App for Llama running XNNPack
+
+This tutorial covers the end to end workflow for building an android demo app using CPU on device via XNNPack framework.
+More specifically, it covers:
+1. Export and quantization of Llama and Llava models against the XNNPack backend.
+2. Building and linking libraries that are required to inference on-device for Android platform.
+3. Building the Android demo app itself.
+
+Phone verified: OnePlus 12. Samsung S23 (Llama only), Samsung S24+ (Llama only), Pixel 8 Pro (Llama only)
+
+
+## Known Issues
+* With prompts like “What is the maxwell equation” the runner+jni is unable to handle odd unicodes.
+
+## Prerequisites
+* Install [Java 17 JDK](https://www.oracle.com/java/technologies/javase/jdk17-archive-downloads.html).
+* Install the [Android SDK API Level 34](https://developer.android.com/about/versions/14/setup-sdk) and [Android NDK 25.0.8775105](https://developer.android.com/studio/projects/install-ndk).
+* If you have Android Studio set up, you can install them with
+  * Android Studio Settings -> Language & Frameworks -> Android SDK -> SDK Platforms -> Check the row with API Level 34.
+  * Android Studio Settings -> Language & Frameworks -> Android SDK -> SDK Tools -> Check NDK (Side by side) row.
+* Alternatively, you can follow [this guide](https://github.com/pytorch/executorch/blob/856e085b9344c8b0bf220a97976140a5b76356aa/examples/demo-apps/android/LlamaDemo/SDK.md) to set up Java/SDK/NDK with CLI.
+Supported Host OS: CentOS, macOS Sonoma on Apple Silicon.
+
+
+Note: This demo app and tutorial has only been validated with arm64-v8a [ABI](https://developer.android.com/ndk/guides/abis), with NDK 25.0.8775105.
+
+
+
+## Setup ExecuTorch
+In this section, we will need to set up the ExecuTorch repo first with Conda environment management. Make sure you have Conda available in your system (or follow the instructions to install it [here](https://anaconda.org/anaconda/conda)). The commands below are running on Linux (CentOS).
+
+Create a Conda environment
+```
+conda create -yn executorch python=3.10.0
+conda activate executorch
+```
+
+Checkout ExecuTorch repo and sync submodules
+```
+git clone https://github.com/pytorch/executorch.git
+cd executorch
+git submodule sync
+git submodule update --init
+```
+Install dependencies
+```
+./install_requirements.sh
+```
+
+Optional: Use the --pybind flag to install with pybindings.
+```
+./install_requirements.sh --pybind xnnpack
+```
+
+
+## Prepare Models
+In this demo app, we support text-only inference with up-to-date Llama models and image reasoning inference with LLaVA 1.5.
+
+### For Llama model
+* You can download original model weights for Llama through Meta official [website](https://llama.meta.com/), or via Huggingface ([Llama 3.1 8B Instruction](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct))
+* For Llama 2 models, Edit params.json file. Replace "vocab_size": -1 with "vocab_size": 32000. This is a short-term workaround
+* Run `examples/models/llama2/install_requirements.sh` to install dependencies.
+* Export Llama model and generate .pte file
+
+```
+python -m examples.models.llama2.export_llama --checkpoint <checkpoint.pth> --params <params.json> -kv --use_sdpa_with_kv_cache -X -qmode 8da4w --group_size 128 -d fp32 --metadata '{"get_bos_id":128000, "get_eos_ids":[128009, 128001]}' --output_name="llama.pte"
+```
+
+You may wonder what the ‘--metadata’ flag is doing. This flag helps export the model with proper special tokens added that the runner can detect EOS tokens easily.
+
+* Convert tokenizer for Llama 2
+```
+python -m extension.llm.tokenizer.tokenizer -t <tokenizer.model> -o tokenizer.bin
+```
+* Convert tokenizer for Llama 3 - Rename `tokenizer.model` to `tokenizer.bin`.
+
+### For LLaVA model
+* For the Llava 1.5 model, you can get it from Huggingface [here](https://huggingface.co/llava-hf/llava-1.5-7b-hf).
+* Run `examples/models/llava/install_requirements.sh` to install dependencies.
+* Run the following command to generate llava.pte, tokenizer.bin and an image tensor (serialized in TorchScript) image.pt.
+
+```
+python -m executorch.examples.models.llava.export_llava --pte-name llava.pte --with-artifacts
+```
+* You can find more information [here](https://github.com/pytorch/executorch/tree/main/examples/models/llava).
+
+
+## Pushing Model and Tokenizer
+Once you have the model and tokenizer ready, you can push them to the device before we start building the Android demo app.
+```
+adb shell mkdir -p /data/local/tmp/llama
+adb push llama.pte /data/local/tmp/llama
+adb push tokenizer.bin /data/local/tmp/llama
+```
+
+## Build AAR Library
+1. Open a terminal window and navigate to the root directory of the executorch
+2. Set the following environment variables:
+```
+export ANDROID_NDK=<path_to_android_ndk>
+export ANDROID_ABI=arm64-v8a
+```
+*Note: <path_to_android_ndk> is the root for the NDK, which is usually under ~/Library/Android/sdk/ndk/XX.Y.ZZZZZ for macOS, and contains NOTICE and README.md. We use <path_to_android_ndk>/build/cmake/android.toolchain.cmake for CMake to cross-compile.*
+3. Build the Android Java extension code:
+```
+pushd extension/android
+./gradlew build
+popd
+```
+4. Run the following command set up the required JNI library:
+```
+pushd examples/demo-apps/android/LlamaDemo
+./gradlew :app:setup
+popd
+```
+Alternative you can also just run the shell script directly as in the root directory:
+```
+sh examples/demo-apps/android/LlamaDemo/setup.sh
+```
+
+This is running the shell script which configures the required core ExecuTorch, Llama2/3, and Android libraries, builds them, and copies them to jniLibs.
+
+**Output**: The executorch-llama.aar file will be generated in a newly created folder in the example/demo-apps/android/LlamaDemo/app/libs directory. This is the path that the Android app expects it to be in.
+
+**Note**: If you are building the Android app mentioned in the next section on a separate machine (i.e. MacOS but building and exporting on Linux), make sure you copy the aar file generated from setup script to “examples/demo-apps/android/LlamaDemo/app/libs” before building the Android app.
+
+### Alternative: Use prebuilt AAR library
+1. Open a terminal window and navigate to the root directory of the executorch.
+2. Run the following command to download the prebuilt library
+```
+bash examples/demo-apps/android/LlamaDemo/download_prebuilt_lib.sh
+```
+The prebuilt AAR library contains the Java library and the JNI binding for NativePeer.java and ExecuTorch native library, including core ExecuTorch runtime libraries, XNNPACK backend, Portable kernels, Optimized kernels, and Quantized kernels. It comes with two ABI variants, arm64-v8a and x86_64.
+If you need to use other dependencies (like tokenizer), please build from the local machine option.
+
+## Run the Android Demo App
+### Alternative 1: Android Studio (Recommended)
+1. Open Android Studio and select “Open an existing Android Studio project” to open examples/demo-apps/android/LlamaDemo.
+2. Run the app (^R). This builds and launches the app on the phone.
+
+### Alternative 2: Command line
+Without Android Studio UI, we can run gradle directly to build the app. We need to set up the Android SDK path and invoke gradle.
+```
+export ANDROID_HOME=<path_to_android_sdk_home>
+pushd examples/demo-apps/android/LlamaDemo
+./gradlew :app:installDebug
+popd
+```
+If the app successfully run on your device, you should see something like below:
+
+<p align="center">
+<img src="../screenshots/opening_the_app_details.png" width=800>
+</p>
+
+## Reporting Issues
+If you encountered any bugs or issues following this tutorial please file a bug/issue here on [Github](https://github.com/pytorch/executorch/issues/new).
diff --git a/examples/demo-apps/android/LlamaDemo/docs/screenshots/chat.png b/examples/demo-apps/android/LlamaDemo/docs/screenshots/chat.png
new file mode 100644
index 0000000000..e7ed934519
Binary files /dev/null and b/examples/demo-apps/android/LlamaDemo/docs/screenshots/chat.png differ
diff --git a/examples/demo-apps/android/LlamaDemo/docs/screenshots/chat_response.png b/examples/demo-apps/android/LlamaDemo/docs/screenshots/chat_response.png
new file mode 100644
index 0000000000..714265276f
Binary files /dev/null and b/examples/demo-apps/android/LlamaDemo/docs/screenshots/chat_response.png differ
diff --git a/examples/demo-apps/android/LlamaDemo/docs/screenshots/llava_example.png b/examples/demo-apps/android/LlamaDemo/docs/screenshots/llava_example.png
new file mode 100644
index 0000000000..ccac335ee6
Binary files /dev/null and b/examples/demo-apps/android/LlamaDemo/docs/screenshots/llava_example.png differ
diff --git a/examples/demo-apps/android/LlamaDemo/docs/screenshots/load_complete_and_start_prompt.png b/examples/demo-apps/android/LlamaDemo/docs/screenshots/load_complete_and_start_prompt.png
new file mode 100644
index 0000000000..43d81f10d0
Binary files /dev/null and b/examples/demo-apps/android/LlamaDemo/docs/screenshots/load_complete_and_start_prompt.png differ
diff --git a/examples/demo-apps/android/LlamaDemo/docs/screenshots/logs.png b/examples/demo-apps/android/LlamaDemo/docs/screenshots/logs.png
new file mode 100644
index 0000000000..e35227a1c0
Binary files /dev/null and b/examples/demo-apps/android/LlamaDemo/docs/screenshots/logs.png differ
diff --git a/examples/demo-apps/android/LlamaDemo/docs/screenshots/mtk_changes_to_shell_file.png b/examples/demo-apps/android/LlamaDemo/docs/screenshots/mtk_changes_to_shell_file.png
new file mode 100644
index 0000000000..7fa4e46186
Binary files /dev/null and b/examples/demo-apps/android/LlamaDemo/docs/screenshots/mtk_changes_to_shell_file.png differ
diff --git a/examples/demo-apps/android/LlamaDemo/docs/screenshots/mtk_output.png b/examples/demo-apps/android/LlamaDemo/docs/screenshots/mtk_output.png
new file mode 100644
index 0000000000..e41d54c356
Binary files /dev/null and b/examples/demo-apps/android/LlamaDemo/docs/screenshots/mtk_output.png differ
diff --git a/examples/demo-apps/android/LlamaDemo/docs/screenshots/opening_the_app_details.png b/examples/demo-apps/android/LlamaDemo/docs/screenshots/opening_the_app_details.png
new file mode 100644
index 0000000000..60494ecc69
Binary files /dev/null and b/examples/demo-apps/android/LlamaDemo/docs/screenshots/opening_the_app_details.png differ
diff --git a/examples/demo-apps/android/LlamaDemo/docs/screenshots/settings_menu.png b/examples/demo-apps/android/LlamaDemo/docs/screenshots/settings_menu.png
new file mode 100644
index 0000000000..028e6b55cd
Binary files /dev/null and b/examples/demo-apps/android/LlamaDemo/docs/screenshots/settings_menu.png differ
diff --git a/examples/demo-apps/android/LlamaDemo/setup-with-qnn.sh b/examples/demo-apps/android/LlamaDemo/setup-with-qnn.sh
index c6ada79553..df70725942 100644
--- a/examples/demo-apps/android/LlamaDemo/setup-with-qnn.sh
+++ b/examples/demo-apps/android/LlamaDemo/setup-with-qnn.sh
@@ -15,6 +15,9 @@ cmake . -DCMAKE_INSTALL_PREFIX="${CMAKE_OUT}" \
   -DEXECUTORCH_BUILD_XNNPACK=ON \
   -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
   -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+  -DEXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL=ON \
+  -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
+  -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
   -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
   -DEXECUTORCH_BUILD_QNN=ON \
   -DQNN_SDK_ROOT="${QNN_SDK_ROOT}" \
@@ -28,20 +31,14 @@ else
 fi
 cmake --build "${CMAKE_OUT}" -j "${CMAKE_JOBS}" --target install --config Release
 
-cmake examples/models/llama2 \
-         -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake \
-         -DANDROID_ABI="$ANDROID_ABI" \
-         -DCMAKE_INSTALL_PREFIX="${CMAKE_OUT}" \
-         -DCMAKE_BUILD_TYPE=Release \
-         -B"${CMAKE_OUT}"/examples/models/llama2
-
-cmake --build "${CMAKE_OUT}"/examples/models/llama2 -j "${CMAKE_JOBS}" --config Release
-
 cmake extension/android \
   -DCMAKE_TOOLCHAIN_FILE=${ANDROID_NDK}/build/cmake/android.toolchain.cmake \
   -DANDROID_ABI="${ANDROID_ABI}" \
   -DCMAKE_INSTALL_PREFIX="${CMAKE_OUT}" \
   -DEXECUTORCH_BUILD_LLAMA_JNI=ON \
+  -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
+  -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
+  -DEXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL=ON \
   -DCMAKE_BUILD_TYPE=Release \
   -B"${CMAKE_OUT}"/extension/android
 
@@ -53,7 +50,7 @@ mkdir -p "${JNI_LIBS_PATH}/${ANDROID_ABI}"
 BUILD_AAR_DIR="$(mktemp -d)"
 mkdir -p "${BUILD_AAR_DIR}/jni/${ANDROID_ABI}" "${BUILD_AAR_DIR}/libs"
 JNI_LIBS_PATH="${BUILD_AAR_DIR}/jni"
-cp "${CMAKE_OUT}"/extension/android/libexecutorch_llama_jni.so "${JNI_LIBS_PATH}/${ANDROID_ABI}/"
+cp "${CMAKE_OUT}"/extension/android/libexecutorch_jni.so "${JNI_LIBS_PATH}/${ANDROID_ABI}/libexecutorch.so"
 cp "${CMAKE_OUT}"/lib/libqnn_executorch_backend.so "${JNI_LIBS_PATH}/${ANDROID_ABI}/"
 cp "${QNN_SDK_ROOT}"/lib/aarch64-android/libQnnHtp.so "${JNI_LIBS_PATH}/${ANDROID_ABI}/"
 cp "${QNN_SDK_ROOT}"/lib/aarch64-android/libQnnSystem.so "${JNI_LIBS_PATH}/${ANDROID_ABI}/"
diff --git a/examples/demo-apps/android/LlamaDemo/setup.sh b/examples/demo-apps/android/LlamaDemo/setup.sh
index 39a50f9b96..b89c182994 100644
--- a/examples/demo-apps/android/LlamaDemo/setup.sh
+++ b/examples/demo-apps/android/LlamaDemo/setup.sh
@@ -8,7 +8,6 @@
 set -eu
 
 CMAKE_OUT="${CMAKE_OUT:-cmake-out-android}"
-EXECUTORCH_USE_TIKTOKEN="${EXECUTORCH_USE_TIKTOKEN:-OFF}"
 # Note: Set up ANDROID_NDK and ANDROID_ABI
 cmake . -DCMAKE_INSTALL_PREFIX="${CMAKE_OUT}" \
   -DCMAKE_TOOLCHAIN_FILE="${ANDROID_NDK}/build/cmake/android.toolchain.cmake" \
@@ -17,6 +16,8 @@ cmake . -DCMAKE_INSTALL_PREFIX="${CMAKE_OUT}" \
   -DEXECUTORCH_BUILD_XNNPACK=ON \
   -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
   -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+  -DEXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL=ON \
+  -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
   -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
   -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
   -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
@@ -30,27 +31,14 @@ else
 fi
 cmake --build "${CMAKE_OUT}" -j "${CMAKE_JOBS}" --target install --config Release
 
-cmake examples/models/llama2 \
-         -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake \
-         -DANDROID_ABI="$ANDROID_ABI" \
-         -DANDROID_PLATFORM=android-23 \
-         -DCMAKE_INSTALL_PREFIX="${CMAKE_OUT}" \
-         -DEXECUTORCH_USE_TIKTOKEN="${EXECUTORCH_USE_TIKTOKEN}" \
-         -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
-         -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
-         -DEXECUTORCH_BUILD_XNNPACK=ON \
-         -DCMAKE_BUILD_TYPE=Release \
-         -B"${CMAKE_OUT}"/examples/models/llama2
-
-cmake --build "${CMAKE_OUT}"/examples/models/llama2 -j "${CMAKE_JOBS}" --config Release
-
 cmake extension/android \
   -DCMAKE_TOOLCHAIN_FILE=${ANDROID_NDK}/build/cmake/android.toolchain.cmake \
   -DANDROID_ABI="${ANDROID_ABI}" \
   -DANDROID_PLATFORM=android-23 \
   -DCMAKE_INSTALL_PREFIX="${CMAKE_OUT}" \
+  -DEXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL=ON \
+  -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
   -DEXECUTORCH_BUILD_LLAMA_JNI=ON \
-  -DEXECUTORCH_USE_TIKTOKEN="${EXECUTORCH_USE_TIKTOKEN}" \
   -DCMAKE_BUILD_TYPE=Release \
   -B"${CMAKE_OUT}"/extension/android
 
@@ -58,7 +46,7 @@ cmake --build "${CMAKE_OUT}"/extension/android -j "${CMAKE_JOBS}" --config Relea
 
 BUILD_AAR_DIR="$(mktemp -d)"
 mkdir -p "${BUILD_AAR_DIR}/jni/${ANDROID_ABI}" "${BUILD_AAR_DIR}/libs"
-cp "${CMAKE_OUT}"/extension/android/libexecutorch_llama_jni.so "${BUILD_AAR_DIR}/jni/${ANDROID_ABI}"
+cp "${CMAKE_OUT}"/extension/android/libexecutorch_jni.so "${BUILD_AAR_DIR}/jni/${ANDROID_ABI}/libexecutorch.so"
 cp extension/android/build/libs/executorch.jar "${BUILD_AAR_DIR}/libs"
 echo \<manifest xmlns:android=\"http://schemas.android.com/apk/res/android\" \
   package=\"org.pytorch.executorch\"\> \
diff --git a/examples/demo-apps/apple_ios/ExecuTorchDemo/ExecuTorchDemo.xcodeproj/project.pbxproj b/examples/demo-apps/apple_ios/ExecuTorchDemo/ExecuTorchDemo.xcodeproj/project.pbxproj
index cbcb03a3b7..857c525284 100644
--- a/examples/demo-apps/apple_ios/ExecuTorchDemo/ExecuTorchDemo.xcodeproj/project.pbxproj
+++ b/examples/demo-apps/apple_ios/ExecuTorchDemo/ExecuTorchDemo.xcodeproj/project.pbxproj
@@ -59,6 +59,13 @@
 			remoteGlobalIDString = 03C818302AC79FCD0084CC29;
 			remoteInfo = ImageClassification;
 		};
+		84EF1FE92C7850B6005922B4 /* PBXContainerItemProxy */ = {
+			isa = PBXContainerItemProxy;
+			containerPortal = 032C01672AC228E5002955E1 /* Project object */;
+			proxyType = 1;
+			remoteGlobalIDString = 032C016E2AC228E6002955E1;
+			remoteInfo = App;
+		};
 /* End PBXContainerItemProxy section */
 
 /* Begin PBXCopyFilesBuildPhase section */
@@ -330,6 +337,7 @@
 			buildRules = (
 			);
 			dependencies = (
+				84EF1FEA2C7850B6005922B4 /* PBXTargetDependency */,
 			);
 			name = MobileNetClassifierTest;
 			packageProductDependencies = (
@@ -489,6 +497,11 @@
 			target = 03C818302AC79FCD0084CC29 /* ImageClassification */;
 			targetProxy = 03C818452AC7A0DB0084CC29 /* PBXContainerItemProxy */;
 		};
+		84EF1FEA2C7850B6005922B4 /* PBXTargetDependency */ = {
+			isa = PBXTargetDependency;
+			target = 032C016E2AC228E6002955E1 /* App */;
+			targetProxy = 84EF1FE92C7850B6005922B4 /* PBXContainerItemProxy */;
+		};
 /* End PBXTargetDependency section */
 
 /* Begin XCBuildConfiguration section */
@@ -633,7 +646,7 @@
 				INFOPLIST_KEY_UIRequiresFullScreen = YES;
 				INFOPLIST_KEY_UISupportedInterfaceOrientations = UIInterfaceOrientationPortrait;
 				MARKETING_VERSION = 1.0;
-				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.demo;
+				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.demo.test;
 				PRODUCT_NAME = "$(PROJECT_NAME)";
 				PROVISIONING_PROFILE_SPECIFIER = "";
 				SUPPORTED_PLATFORMS = "iphoneos iphonesimulator";
@@ -661,7 +674,7 @@
 				INFOPLIST_KEY_UIRequiresFullScreen = YES;
 				INFOPLIST_KEY_UISupportedInterfaceOrientations = UIInterfaceOrientationPortrait;
 				MARKETING_VERSION = 1.0;
-				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.demo;
+				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.demo.test;
 				PRODUCT_NAME = "$(PROJECT_NAME)";
 				PROVISIONING_PROFILE_SPECIFIER = "";
 				SUPPORTED_PLATFORMS = "iphoneos iphonesimulator";
@@ -703,6 +716,7 @@
 				SUPPORTS_MACCATALYST = NO;
 				SUPPORTS_MAC_DESIGNED_FOR_IPHONE_IPAD = NO;
 				SWIFT_OPTIMIZATION_LEVEL = "-Onone";
+				TEST_HOST = "$(BUILT_PRODUCTS_DIR)/ExecuTorchDemo.app/$(BUNDLE_EXECUTABLE_FOLDER_PATH)/ExecuTorchDemo";
 			};
 			name = Debug;
 		};
@@ -717,6 +731,7 @@
 				PRODUCT_NAME = "$(TARGET_NAME)";
 				SUPPORTS_MACCATALYST = NO;
 				SUPPORTS_MAC_DESIGNED_FOR_IPHONE_IPAD = NO;
+				TEST_HOST = "$(BUILT_PRODUCTS_DIR)/ExecuTorchDemo.app/$(BUNDLE_EXECUTABLE_FOLDER_PATH)/ExecuTorchDemo";
 			};
 			name = Release;
 		};
diff --git a/examples/demo-apps/apple_ios/ExecuTorchDemo/ExecuTorchDemo/Sources/MobileNet/MobileNetClassifier.mm b/examples/demo-apps/apple_ios/ExecuTorchDemo/ExecuTorchDemo/Sources/MobileNet/MobileNetClassifier.mm
index cc5a5c8139..59b66e510b 100644
--- a/examples/demo-apps/apple_ios/ExecuTorchDemo/ExecuTorchDemo/Sources/MobileNet/MobileNetClassifier.mm
+++ b/examples/demo-apps/apple_ios/ExecuTorchDemo/ExecuTorchDemo/Sources/MobileNet/MobileNetClassifier.mm
@@ -9,8 +9,9 @@
 #import "MobileNetClassifier.h"
 
 #import <executorch/extension/module/module.h>
+#import <executorch/extension/tensor/tensor.h>
 
-using namespace ::torch::executor;
+using namespace ::executorch::extension;
 
 NSErrorDomain const ETMobileNetClassifierErrorDomain =
     @"MobileNetClassifierErrorDomain";
@@ -33,9 +34,8 @@ - (BOOL)classifyWithInput:(float*)input
                    output:(float*)output
                outputSize:(NSInteger)outputSize
                     error:(NSError**)error {
-  int32_t sizes[] = {1, kChannels, kSize, kSize};
-  TensorImpl inputTensor(ScalarType::Float, std::size(sizes), sizes, input);
-  const auto result = _module->forward({EValue(Tensor(&inputTensor))});
+  const auto result =
+      _module->forward(from_blob(input, {1, kChannels, kSize, kSize}));
 
   if (!result.ok()) {
     if (error) {
diff --git a/examples/demo-apps/apple_ios/LLaMA/LLaMA.xcodeproj/project.pbxproj b/examples/demo-apps/apple_ios/LLaMA/LLaMA.xcodeproj/project.pbxproj
index 7152dbfb70..b64f9e2aa5 100644
--- a/examples/demo-apps/apple_ios/LLaMA/LLaMA.xcodeproj/project.pbxproj
+++ b/examples/demo-apps/apple_ios/LLaMA/LLaMA.xcodeproj/project.pbxproj
@@ -43,12 +43,38 @@
 		03729F132BB2042B00152F2E /* sampler.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 03729F112BB2042B00152F2E /* sampler.cpp */; };
 		03729F162BB2043600152F2E /* bpe_tokenizer.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 03729F142BB2043600152F2E /* bpe_tokenizer.cpp */; };
 		03729F172BB2043600152F2E /* tokenizer.h in Headers */ = {isa = PBXBuildFile; fileRef = 03729F152BB2043600152F2E /* tokenizer.h */; };
+		0372C3112C893FE900CD942A /* CoreGraphics.framework in Frameworks */ = {isa = PBXBuildFile; fileRef = 0372C3102C893FE900CD942A /* CoreGraphics.framework */; };
+		0372C3142C89418E00CD942A /* llava_runner.h in Headers */ = {isa = PBXBuildFile; fileRef = 0372C3122C89418E00CD942A /* llava_runner.h */; };
+		0372C3152C89418E00CD942A /* llava_runner.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 0372C3132C89418E00CD942A /* llava_runner.cpp */; };
 		038D678C2C482C1E00B88CF2 /* llama_tiktoken.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 038D678A2C482C1D00B88CF2 /* llama_tiktoken.cpp */; };
 		038D678D2C482C1E00B88CF2 /* llama_tiktoken.h in Headers */ = {isa = PBXBuildFile; fileRef = 038D678B2C482C1E00B88CF2 /* llama_tiktoken.h */; };
 		03BADE202BD2E88600DDFDC2 /* bpe_tokenizer.h in Headers */ = {isa = PBXBuildFile; fileRef = 03BADE1F2BD2E88600DDFDC2 /* bpe_tokenizer.h */; };
 		03BADE232BD2EB6700DDFDC2 /* tiktoken.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 03BADE212BD2EB6600DDFDC2 /* tiktoken.cpp */; };
 		03BADE242BD2EB6700DDFDC2 /* tiktoken.h in Headers */ = {isa = PBXBuildFile; fileRef = 03BADE222BD2EB6700DDFDC2 /* tiktoken.h */; };
+		03D03DA72C7823620088D6A7 /* text_prefiller.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 03D03DA52C7823620088D6A7 /* text_prefiller.cpp */; };
+		03D03DA82C7823620088D6A7 /* text_prefiller.h in Headers */ = {isa = PBXBuildFile; fileRef = 03D03DA62C7823620088D6A7 /* text_prefiller.h */; };
+		03D03DAB2C7823830088D6A7 /* text_decoder_runner.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 03D03DA92C7823830088D6A7 /* text_decoder_runner.cpp */; };
+		03D03DAC2C7823830088D6A7 /* text_decoder_runner.h in Headers */ = {isa = PBXBuildFile; fileRef = 03D03DAA2C7823830088D6A7 /* text_decoder_runner.h */; };
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+				84DD949B2C81060E00C765A6 /* kernels_portable_debug in Frameworks */,
+				84DD949F2C81060E00C765A6 /* kernels_quantized_debug in Frameworks */,
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+				84DD94992C81060E00C765A6 /* kernels_portable in Frameworks */,
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 				0324D6882BAACB6900DEF36F /* ResourceMonitor.swift */,
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 				03729ED52BB1F8DE00152F2E /* LLaMARunner.framework */,
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+				84DD94722C8105EB00C765A6 /* LLaMAPerfBenchmark */,
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@@ -233,12 +333,18 @@
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 			isa = PBXGroup;
 			children = (
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+				0372C3122C89418E00CD942A /* llava_runner.h */,
 				03729F072BB203B300152F2E /* runner.cpp */,
 				03729F082BB203B300152F2E /* runner.h */,
+				03D03DA92C7823830088D6A7 /* text_decoder_runner.cpp */,
+				03D03DAA2C7823830088D6A7 /* text_decoder_runner.h */,
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 				03729F092BB203B300152F2E /* util.h */,
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 			name = runner;
-			path = ../../../../../models/llama2/runner;
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 			sourceTree = "<group>";
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@@ -264,7 +370,32 @@
 				03729F102BB2042B00152F2E /* sampler.h */,
 			);
 			name = sampler;
-			path = ../../../../../models/llama2/sampler;
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 				03729EE22BB1F93E00152F2E /* LLaMARunner.h in Headers */,
+				03D03DA82C7823620088D6A7 /* text_prefiller.h in Headers */,
+				03D03DAC2C7823830088D6A7 /* text_decoder_runner.h in Headers */,
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 				03729F0C2BB203B300152F2E /* util.h in Headers */,
 				03729F0B2BB203B300152F2E /* runner.h in Headers */,
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@@ -362,6 +549,13 @@
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 			};
 			buildConfigurationList = 032C016A2AC228E5002955E1 /* Build configuration list for PBXProject "LLaMA" */;
@@ -382,6 +576,8 @@
 			targets = (
 				032C016E2AC228E6002955E1 /* LLaMA */,
 				03729ED42BB1F8DE00152F2E /* LLaMARunner */,
+				84DD94702C8105EB00C765A6 /* LLaMAPerfBenchmark */,
+				84DD94AB2C811E3E00C765A6 /* LLaMAPerfBenchmarkTests */,
 			);
 		};
 /* End PBXProject section */
@@ -402,6 +598,20 @@
 			);
 			runOnlyForDeploymentPostprocessing = 0;
 		};
+		84DD946F2C8105EB00C765A6 /* Resources */ = {
+			isa = PBXResourcesBuildPhase;
+			buildActionMask = 2147483647;
+			files = (
+			);
+			runOnlyForDeploymentPostprocessing = 0;
+		};
+		84DD94AA2C811E3E00C765A6 /* Resources */ = {
+			isa = PBXResourcesBuildPhase;
+			buildActionMask = 2147483647;
+			files = (
+			);
+			runOnlyForDeploymentPostprocessing = 0;
+		};
 /* End PBXResourcesBuildPhase section */
 
 /* Begin PBXShellScriptBuildPhase section */
@@ -438,6 +648,7 @@
 				0324D6922BAACB6900DEF36F /* ResourceManager.swift in Sources */,
 				0324D68C2BAACB6900DEF36F /* ContentView.swift in Sources */,
 				0324D6902BAACB6900DEF36F /* MessageListView.swift in Sources */,
+				26A6A4282C8A3769005A761E /* ImagePicker.swift in Sources */,
 				0324D6912BAACB6900DEF36F /* MessageView.swift in Sources */,
 				0324D68B2BAACB6900DEF36F /* App.swift in Sources */,
 			);
@@ -450,9 +661,28 @@
 				03729EE12BB1F93800152F2E /* LLaMARunner.mm in Sources */,
 				03BADE232BD2EB6700DDFDC2 /* tiktoken.cpp in Sources */,
 				038D678C2C482C1E00B88CF2 /* llama_tiktoken.cpp in Sources */,
+				0372C3152C89418E00CD942A /* llava_runner.cpp in Sources */,
+				03D03DAB2C7823830088D6A7 /* text_decoder_runner.cpp in Sources */,
 				03729F162BB2043600152F2E /* bpe_tokenizer.cpp in Sources */,
 				03729F0A2BB203B300152F2E /* runner.cpp in Sources */,
 				03729F132BB2042B00152F2E /* sampler.cpp in Sources */,
+				03D03DA72C7823620088D6A7 /* text_prefiller.cpp in Sources */,
+			);
+			runOnlyForDeploymentPostprocessing = 0;
+		};
+		84DD946D2C8105EB00C765A6 /* Sources */ = {
+			isa = PBXSourcesBuildPhase;
+			buildActionMask = 2147483647;
+			files = (
+				84DD94742C8105EB00C765A6 /* LLaMAPerfBenchmarkApp.swift in Sources */,
+			);
+			runOnlyForDeploymentPostprocessing = 0;
+		};
+		84DD94A82C811E3E00C765A6 /* Sources */ = {
+			isa = PBXSourcesBuildPhase;
+			buildActionMask = 2147483647;
+			files = (
+				84DD94AF2C811E3E00C765A6 /* LLaMAPerfBenchmarkTests.swift in Sources */,
 			);
 			runOnlyForDeploymentPostprocessing = 0;
 		};
@@ -464,6 +694,16 @@
 			target = 03729ED42BB1F8DE00152F2E /* LLaMARunner */;
 			targetProxy = 03729ED92BB1F8DE00152F2E /* PBXContainerItemProxy */;
 		};
+		84DD94A32C81061100C765A6 /* PBXTargetDependency */ = {
+			isa = PBXTargetDependency;
+			target = 03729ED42BB1F8DE00152F2E /* LLaMARunner */;
+			targetProxy = 84DD94A22C81061100C765A6 /* PBXContainerItemProxy */;
+		};
+		84DD94B12C811E3E00C765A6 /* PBXTargetDependency */ = {
+			isa = PBXTargetDependency;
+			target = 84DD94702C8105EB00C765A6 /* LLaMAPerfBenchmark */;
+			targetProxy = 84DD94B02C811E3E00C765A6 /* PBXContainerItemProxy */;
+		};
 /* End PBXTargetDependency section */
 
 /* Begin XCBuildConfiguration section */
@@ -650,7 +890,7 @@
 					"-force_load",
 					"$(BUILT_PRODUCTS_DIR)/libbackend_mps-simulator-debug.a",
 				);
-				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.llama;
+				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.illama;
 				PRODUCT_NAME = "$(PROJECT_NAME)";
 				PROVISIONING_PROFILE_SPECIFIER = "";
 				SUPPORTED_PLATFORMS = "iphoneos iphonesimulator";
@@ -712,7 +952,7 @@
 					"-force_load",
 					"$(BUILT_PRODUCTS_DIR)/libbackend_mps-simulator-release.a",
 				);
-				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.llama;
+				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.illama;
 				PRODUCT_NAME = "$(PROJECT_NAME)";
 				PROVISIONING_PROFILE_SPECIFIER = "";
 				SUPPORTED_PLATFORMS = "iphoneos iphonesimulator";
@@ -765,7 +1005,7 @@
 					"-force_load",
 					"$(BUILT_PRODUCTS_DIR)/libexecutorch-simulator-debug.a",
 				);
-				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.llama.LLaMARunner;
+				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.illama.LLaMARunner;
 				PRODUCT_NAME = "$(TARGET_NAME:c99extidentifier)";
 				SKIP_INSTALL = YES;
 				SUPPORTED_PLATFORMS = "iphoneos iphonesimulator";
@@ -817,7 +1057,7 @@
 					"-force_load",
 					"$(BUILT_PRODUCTS_DIR)/libexecutorch-simulator-debug.a",
 				);
-				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.llama.LLaMARunner;
+				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.illama.LLaMARunner;
 				PRODUCT_NAME = "$(TARGET_NAME:c99extidentifier)";
 				SKIP_INSTALL = YES;
 				SUPPORTED_PLATFORMS = "iphoneos iphonesimulator";
@@ -831,6 +1071,164 @@
 			};
 			name = Release;
 		};
+		84DD947D2C8105EC00C765A6 /* Debug */ = {
+			isa = XCBuildConfiguration;
+			buildSettings = {
+				ASSETCATALOG_COMPILER_APPICON_NAME = AppIcon;
+				ASSETCATALOG_COMPILER_GLOBAL_ACCENT_COLOR_NAME = AccentColor;
+				CLANG_CXX_LANGUAGE_STANDARD = "gnu++20";
+				CODE_SIGN_ENTITLEMENTS = LLaMAPerfBenchmark/LLaMAPerfBenchmark.entitlements;
+				CODE_SIGN_STYLE = Automatic;
+				CURRENT_PROJECT_VERSION = 1;
+				DEVELOPMENT_ASSET_PATHS = "";
+				ENABLE_PREVIEWS = YES;
+				GCC_C_LANGUAGE_STANDARD = gnu17;
+				GENERATE_INFOPLIST_FILE = YES;
+				INFOPLIST_KEY_UIApplicationSceneManifest_Generation = YES;
+				INFOPLIST_KEY_UIApplicationSupportsIndirectInputEvents = YES;
+				INFOPLIST_KEY_UILaunchScreen_Generation = YES;
+				INFOPLIST_KEY_UISupportedInterfaceOrientations_iPad = "UIInterfaceOrientationPortrait UIInterfaceOrientationPortraitUpsideDown UIInterfaceOrientationLandscapeLeft UIInterfaceOrientationLandscapeRight";
+				INFOPLIST_KEY_UISupportedInterfaceOrientations_iPhone = "UIInterfaceOrientationPortrait UIInterfaceOrientationLandscapeLeft UIInterfaceOrientationLandscapeRight";
+				IPHONEOS_DEPLOYMENT_TARGET = 17.0;
+				LD_RUNPATH_SEARCH_PATHS = (
+					"$(inherited)",
+					"@executable_path/Frameworks",
+				);
+				MARKETING_VERSION = 1.0;
+				"OTHER_LDFLAGS[sdk=iphoneos*]" = (
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libkernels_portable-ios-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libkernels_custom-ios-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libkernels_quantized-ios-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libbackend_xnnpack-ios-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libbackend_coreml-ios-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libbackend_mps-ios-debug.a",
+				);
+				"OTHER_LDFLAGS[sdk=iphonesimulator*]" = (
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libkernels_portable-simulator-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libkernels_custom-simulator-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libkernels_quantized-simulator-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libbackend_xnnpack-simulator-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libbackend_coreml-simulator-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libbackend_mps-simulator-debug.a",
+				);
+				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.illama;
+				PRODUCT_NAME = "$(TARGET_NAME)";
+				SWIFT_EMIT_LOC_STRINGS = YES;
+				SWIFT_VERSION = 5.0;
+				TARGETED_DEVICE_FAMILY = "1,2";
+			};
+			name = Debug;
+		};
+		84DD947E2C8105EC00C765A6 /* Release */ = {
+			isa = XCBuildConfiguration;
+			buildSettings = {
+				ASSETCATALOG_COMPILER_APPICON_NAME = AppIcon;
+				ASSETCATALOG_COMPILER_GLOBAL_ACCENT_COLOR_NAME = AccentColor;
+				CLANG_CXX_LANGUAGE_STANDARD = "gnu++20";
+				CODE_SIGN_ENTITLEMENTS = LLaMAPerfBenchmark/LLaMAPerfBenchmark.entitlements;
+				CODE_SIGN_STYLE = Automatic;
+				CURRENT_PROJECT_VERSION = 1;
+				DEVELOPMENT_ASSET_PATHS = "";
+				ENABLE_PREVIEWS = YES;
+				GCC_C_LANGUAGE_STANDARD = gnu17;
+				GENERATE_INFOPLIST_FILE = YES;
+				INFOPLIST_KEY_UIApplicationSceneManifest_Generation = YES;
+				INFOPLIST_KEY_UIApplicationSupportsIndirectInputEvents = YES;
+				INFOPLIST_KEY_UILaunchScreen_Generation = YES;
+				INFOPLIST_KEY_UISupportedInterfaceOrientations_iPad = "UIInterfaceOrientationPortrait UIInterfaceOrientationPortraitUpsideDown UIInterfaceOrientationLandscapeLeft UIInterfaceOrientationLandscapeRight";
+				INFOPLIST_KEY_UISupportedInterfaceOrientations_iPhone = "UIInterfaceOrientationPortrait UIInterfaceOrientationLandscapeLeft UIInterfaceOrientationLandscapeRight";
+				IPHONEOS_DEPLOYMENT_TARGET = 17.0;
+				LD_RUNPATH_SEARCH_PATHS = (
+					"$(inherited)",
+					"@executable_path/Frameworks",
+				);
+				MARKETING_VERSION = 1.0;
+				"OTHER_LDFLAGS[sdk=iphoneos*]" = (
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libkernels_portable-ios-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libkernels_custom-ios-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libkernels_quantized-ios-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libbackend_xnnpack-ios-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libbackend_coreml-ios-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libbackend_mps-ios-debug.a",
+				);
+				"OTHER_LDFLAGS[sdk=iphonesimulator*]" = (
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libkernels_portable-simulator-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libkernels_custom-simulator-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libkernels_quantized-simulator-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libbackend_xnnpack-simulator-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libbackend_coreml-simulator-debug.a",
+					"-force_load",
+					"$(BUILT_PRODUCTS_DIR)/libbackend_mps-simulator-debug.a",
+				);
+				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.illama;
+				PRODUCT_NAME = "$(TARGET_NAME)";
+				SWIFT_EMIT_LOC_STRINGS = YES;
+				SWIFT_VERSION = 5.0;
+				TARGETED_DEVICE_FAMILY = "1,2";
+			};
+			name = Release;
+		};
+		84DD94B32C811E3E00C765A6 /* Debug */ = {
+			isa = XCBuildConfiguration;
+			buildSettings = {
+				CLANG_CXX_LANGUAGE_STANDARD = "gnu++20";
+				CODE_SIGN_STYLE = Automatic;
+				CURRENT_PROJECT_VERSION = 1;
+				GCC_C_LANGUAGE_STANDARD = gnu17;
+				GENERATE_INFOPLIST_FILE = YES;
+				IPHONEOS_DEPLOYMENT_TARGET = 17.0;
+				MARKETING_VERSION = 1.0;
+				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.illama;
+				PRODUCT_NAME = "$(TARGET_NAME)";
+				SWIFT_EMIT_LOC_STRINGS = NO;
+				SWIFT_VERSION = 5.0;
+				TARGETED_DEVICE_FAMILY = "1,2";
+				TEST_HOST = "$(BUILT_PRODUCTS_DIR)/LLaMAPerfBenchmark.app/$(BUNDLE_EXECUTABLE_FOLDER_PATH)/LLaMAPerfBenchmark";
+			};
+			name = Debug;
+		};
+		84DD94B42C811E3E00C765A6 /* Release */ = {
+			isa = XCBuildConfiguration;
+			buildSettings = {
+				CLANG_CXX_LANGUAGE_STANDARD = "gnu++20";
+				CODE_SIGN_STYLE = Automatic;
+				CURRENT_PROJECT_VERSION = 1;
+				GCC_C_LANGUAGE_STANDARD = gnu17;
+				GENERATE_INFOPLIST_FILE = YES;
+				IPHONEOS_DEPLOYMENT_TARGET = 17.0;
+				MARKETING_VERSION = 1.0;
+				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.illama;
+				PRODUCT_NAME = "$(TARGET_NAME)";
+				SWIFT_EMIT_LOC_STRINGS = NO;
+				SWIFT_VERSION = 5.0;
+				TARGETED_DEVICE_FAMILY = "1,2";
+				TEST_HOST = "$(BUILT_PRODUCTS_DIR)/LLaMAPerfBenchmark.app/$(BUNDLE_EXECUTABLE_FOLDER_PATH)/LLaMAPerfBenchmark";
+			};
+			name = Release;
+		};
 /* End XCBuildConfiguration section */
 
 /* Begin XCConfigurationList section */
@@ -861,6 +1259,24 @@
 			defaultConfigurationIsVisible = 0;
 			defaultConfigurationName = Release;
 		};
+		84DD947C2C8105EC00C765A6 /* Build configuration list for PBXNativeTarget "LLaMAPerfBenchmark" */ = {
+			isa = XCConfigurationList;
+			buildConfigurations = (
+				84DD947D2C8105EC00C765A6 /* Debug */,
+				84DD947E2C8105EC00C765A6 /* Release */,
+			);
+			defaultConfigurationIsVisible = 0;
+			defaultConfigurationName = Release;
+		};
+		84DD94B22C811E3E00C765A6 /* Build configuration list for PBXNativeTarget "LLaMAPerfBenchmarkTests" */ = {
+			isa = XCConfigurationList;
+			buildConfigurations = (
+				84DD94B32C811E3E00C765A6 /* Debug */,
+				84DD94B42C811E3E00C765A6 /* Release */,
+			);
+			defaultConfigurationIsVisible = 0;
+			defaultConfigurationName = Release;
+		};
 /* End XCConfigurationList section */
 
 /* Begin XCRemoteSwiftPackageReference section */
@@ -950,6 +1366,76 @@
 			package = 03312C172BBFC940002106EF /* XCRemoteSwiftPackageReference "executorch" */;
 			productName = executorch_debug;
 		};
+		84DD94802C81060E00C765A6 /* backend_coreml */ = {
+			isa = XCSwiftPackageProductDependency;
+			package = 03312C172BBFC940002106EF /* XCRemoteSwiftPackageReference "executorch" */;
+			productName = backend_coreml;
+		};
+		84DD94822C81060E00C765A6 /* backend_coreml_debug */ = {
+			isa = XCSwiftPackageProductDependency;
+			package = 03312C172BBFC940002106EF /* XCRemoteSwiftPackageReference "executorch" */;
+			productName = backend_coreml_debug;
+		};
+		84DD94842C81060E00C765A6 /* backend_mps */ = {
+			isa = XCSwiftPackageProductDependency;
+			package = 03312C172BBFC940002106EF /* XCRemoteSwiftPackageReference "executorch" */;
+			productName = backend_mps;
+		};
+		84DD94862C81060E00C765A6 /* backend_mps_debug */ = {
+			isa = XCSwiftPackageProductDependency;
+			package = 03312C172BBFC940002106EF /* XCRemoteSwiftPackageReference "executorch" */;
+			productName = backend_mps_debug;
+		};
+		84DD94882C81060E00C765A6 /* backend_xnnpack */ = {
+			isa = XCSwiftPackageProductDependency;
+			package = 03312C172BBFC940002106EF /* XCRemoteSwiftPackageReference "executorch" */;
+			productName = backend_xnnpack;
+		};
+		84DD948A2C81060E00C765A6 /* backend_xnnpack_debug */ = {
+			isa = XCSwiftPackageProductDependency;
+			package = 03312C172BBFC940002106EF /* XCRemoteSwiftPackageReference "executorch" */;
+			productName = backend_xnnpack_debug;
+		};
+		84DD94902C81060E00C765A6 /* kernels_custom */ = {
+			isa = XCSwiftPackageProductDependency;
+			package = 03312C172BBFC940002106EF /* XCRemoteSwiftPackageReference "executorch" */;
+			productName = kernels_custom;
+		};
+		84DD94922C81060E00C765A6 /* kernels_custom_debug */ = {
+			isa = XCSwiftPackageProductDependency;
+			package = 03312C172BBFC940002106EF /* XCRemoteSwiftPackageReference "executorch" */;
+			productName = kernels_custom_debug;
+		};
+		84DD94942C81060E00C765A6 /* kernels_optimized */ = {
+			isa = XCSwiftPackageProductDependency;
+			package = 03312C172BBFC940002106EF /* XCRemoteSwiftPackageReference "executorch" */;
+			productName = kernels_optimized;
+		};
+		84DD94962C81060E00C765A6 /* kernels_optimized_debug */ = {
+			isa = XCSwiftPackageProductDependency;
+			package = 03312C172BBFC940002106EF /* XCRemoteSwiftPackageReference "executorch" */;
+			productName = kernels_optimized_debug;
+		};
+		84DD94982C81060E00C765A6 /* kernels_portable */ = {
+			isa = XCSwiftPackageProductDependency;
+			package = 03312C172BBFC940002106EF /* XCRemoteSwiftPackageReference "executorch" */;
+			productName = kernels_portable;
+		};
+		84DD949A2C81060E00C765A6 /* kernels_portable_debug */ = {
+			isa = XCSwiftPackageProductDependency;
+			package = 03312C172BBFC940002106EF /* XCRemoteSwiftPackageReference "executorch" */;
+			productName = kernels_portable_debug;
+		};
+		84DD949C2C81060E00C765A6 /* kernels_quantized */ = {
+			isa = XCSwiftPackageProductDependency;
+			package = 03312C172BBFC940002106EF /* XCRemoteSwiftPackageReference "executorch" */;
+			productName = kernels_quantized;
+		};
+		84DD949E2C81060E00C765A6 /* kernels_quantized_debug */ = {
+			isa = XCSwiftPackageProductDependency;
+			package = 03312C172BBFC940002106EF /* XCRemoteSwiftPackageReference "executorch" */;
+			productName = kernels_quantized_debug;
+		};
 /* End XCSwiftPackageProductDependency section */
 	};
 	rootObject = 032C01672AC228E5002955E1 /* Project object */;
diff --git a/examples/demo-apps/apple_ios/LLaMA/LLaMA/Application/ContentView.swift b/examples/demo-apps/apple_ios/LLaMA/LLaMA/Application/ContentView.swift
index 02f28b88b8..a4fe82b138 100644
--- a/examples/demo-apps/apple_ios/LLaMA/LLaMA/Application/ContentView.swift
+++ b/examples/demo-apps/apple_ios/LLaMA/LLaMA/Application/ContentView.swift
@@ -13,6 +13,73 @@ import LLaMARunner
 
 class RunnerHolder: ObservableObject {
   var runner: Runner?
+  var llavaRunner: LLaVARunner?
+}
+
+extension UIImage {
+  func resized(to newSize: CGSize) -> UIImage {
+    let format = UIGraphicsImageRendererFormat.default()
+    let renderer = UIGraphicsImageRenderer(size: newSize, format: format)
+    let image = renderer.image { _ in
+      draw(in: CGRect(origin: .zero, size: newSize))
+    }
+    return image
+  }
+
+  func toRGBArray() -> [UInt8]? {
+    guard let cgImage = self.cgImage else {
+      NSLog("Failed to get CGImage from UIImage")
+      return nil
+    }
+
+    let width = cgImage.width
+    let height = cgImage.height
+    let colorSpace = CGColorSpaceCreateDeviceRGB()
+    let bytesPerPixel = 4
+    let bytesPerRow = bytesPerPixel * width
+    let bitsPerComponent = 8
+    let bitmapInfo = CGImageAlphaInfo.premultipliedLast.rawValue
+
+    guard let context = CGContext(
+      data: nil,
+      width: width,
+      height: height,
+      bitsPerComponent: bitsPerComponent,
+      bytesPerRow: bytesPerRow,
+      space: colorSpace,
+      bitmapInfo: bitmapInfo
+    ) else {
+      NSLog("Failed to create CGContext")
+      return nil
+    }
+
+    context.draw(cgImage, in: CGRect(x: 0, y: 0, width: width, height: height))
+
+    guard let pixelBuffer = context.data else {
+      NSLog("Failed to get pixel data from CGContext")
+      return nil
+    }
+
+    let pixelData = pixelBuffer.bindMemory(to: UInt8.self, capacity: width * height * bytesPerPixel)
+
+    var rgbArray = [UInt8](repeating: 0, count: width * height * 3)
+
+    for y in 0..<height {
+      for x in 0..<width {
+        let pixelIndex = (y * width + x) * bytesPerPixel
+        let r = UInt8(pixelData[pixelIndex])
+        let g = UInt8(pixelData[pixelIndex + 1])
+        let b = UInt8(pixelData[pixelIndex + 2])
+
+        let rgbIndex = (y * width + x)
+        rgbArray[rgbIndex] = r
+        rgbArray[rgbIndex + height * width] = g
+        rgbArray[rgbIndex + 2 * height * width] = b
+      }
+    }
+
+    return rgbArray
+  }
 }
 
 struct ContentView: View {
@@ -22,12 +89,19 @@ struct ContentView: View {
   @State private var pickerType: PickerType?
   @State private var isGenerating = false
   @State private var shouldStopGenerating = false
+  @State private var shouldStopShowingToken = false
   private let runnerQueue = DispatchQueue(label: "org.pytorch.executorch.llama")
   @StateObject private var runnerHolder = RunnerHolder()
   @StateObject private var resourceManager = ResourceManager()
   @StateObject private var resourceMonitor = ResourceMonitor()
   @StateObject private var logManager = LogManager()
 
+  @State private var isImagePickerPresented = false
+  @State private var selectedImage: UIImage?
+  @State private var imagePickerSourceType: UIImagePickerController.SourceType = .photoLibrary
+
+  @State private var showingSettings = false
+
   enum PickerType {
     case model
     case tokenizer
@@ -54,6 +128,23 @@ struct ContentView: View {
   var body: some View {
     NavigationView {
       VStack {
+        if showingSettings {
+          VStack(spacing: 20) {
+            Form {
+              Section(header: Text("Model and Tokenizer")
+                        .font(.headline)
+                        .foregroundColor(.primary)) {
+                Button(action: { pickerType = .model }) {
+                  Label(resourceManager.modelName == "" ? modelTitle : resourceManager.modelName, systemImage: "doc")
+                }
+                Button(action: { pickerType = .tokenizer }) {
+                  Label(resourceManager.tokenizerName == "" ? tokenizerTitle : resourceManager.tokenizerName, systemImage: "doc")
+                }
+              }
+            }
+          }
+        }
+
         MessageListView(messages: $messages)
           .gesture(
             DragGesture().onChanged { value in
@@ -63,24 +154,33 @@ struct ContentView: View {
             }
           )
         HStack {
-          Menu {
-            Section(header: Text("Model")) {
-              Button(action: { pickerType = .model }) {
-                Label(modelTitle, systemImage: "doc")
-              }
-            }
-            Section(header: Text("Tokenizer")) {
-              Button(action: { pickerType = .tokenizer }) {
-                Label(tokenizerTitle, systemImage: "doc")
-              }
+          Button(action: {
+            imagePickerSourceType = .photoLibrary
+            isImagePickerPresented = true
+          }) {
+            Image(systemName: "photo.on.rectangle")
+              .resizable()
+              .scaledToFit()
+              .frame(width: 24, height: 24)
+          }
+          .background(Color.clear)
+          .cornerRadius(8)
+
+          Button(action: {
+            if UIImagePickerController.isSourceTypeAvailable(.camera) {
+              imagePickerSourceType = .camera
+              isImagePickerPresented = true
+            } else {
+              print("Camera not available")
             }
-          } label: {
-            Image(systemName: "ellipsis.circle")
+          }) {
+            Image(systemName: "camera")
               .resizable()
-              .aspectRatio(contentMode: .fit)
-              .frame(height: 28)
+              .scaledToFit()
+              .frame(width: 24, height: 24)
           }
-          .disabled(isGenerating)
+          .background(Color.clear)
+          .cornerRadius(8)
 
           TextField(placeholder, text: $prompt, axis: .vertical)
             .padding(8)
@@ -102,8 +202,18 @@ struct ContentView: View {
           .disabled(isGenerating ? shouldStopGenerating : (!isInputEnabled || prompt.isEmpty))
         }
         .padding([.leading, .trailing, .bottom], 10)
+        .sheet(isPresented: $isImagePickerPresented, onDismiss: addSelectedImageMessage) {
+          ImagePicker(selectedImage: $selectedImage, sourceType: imagePickerSourceType)
+        }
       }
       .navigationBarTitle(title, displayMode: .inline)
+      .navigationBarItems(leading:
+                            Button(action: {
+                              showingSettings.toggle()
+                            }) {
+                              Image(systemName: "gearshape")
+                                .imageScale(.large)
+                            })
       .navigationBarItems(trailing:
                             HStack {
                               Menu {
@@ -153,18 +263,26 @@ struct ContentView: View {
     .navigationViewStyle(StackNavigationViewStyle())
   }
 
+  private func addSelectedImageMessage() {
+    if let selectedImage {
+      messages.append(Message(image: selectedImage))
+    }
+  }
+
   private func generate() {
     guard !prompt.isEmpty else { return }
     isGenerating = true
     shouldStopGenerating = false
-    let text = prompt.trimmingCharacters(in: .whitespacesAndNewlines)
-    let seq_len = 128
-    prompt = ""
+    shouldStopShowingToken = false
+    let text = prompt
+    let seq_len = 768 // text: 256, vision: 768
     let modelPath = resourceManager.modelPath
     let tokenizerPath = resourceManager.tokenizerPath
+    let useLlama = modelPath.range(of: "llama", options: .caseInsensitive) != nil
 
-    messages.append(Message(text: text))
-    messages.append(Message(type: .generated))
+    prompt = ""
+    hideKeyboard()
+    showingSettings = false
 
     runnerQueue.async {
       defer {
@@ -172,36 +290,82 @@ struct ContentView: View {
           isGenerating = false
         }
       }
-      runnerHolder.runner = runnerHolder.runner ?? Runner(modelPath: modelPath, tokenizerPath: tokenizerPath)
+
+      if useLlama {
+        runnerHolder.runner = runnerHolder.runner ?? Runner(modelPath: modelPath, tokenizerPath: tokenizerPath)
+      } else {
+        runnerHolder.llavaRunner = runnerHolder.llavaRunner ?? LLaVARunner(modelPath: modelPath, tokenizerPath: tokenizerPath)
+      }
+
       guard !shouldStopGenerating else { return }
-      if let runner = runnerHolder.runner, !runner.isloaded() {
-        var error: Error?
-        let startLoadTime = Date()
-        do {
-          try runner.load()
-        } catch let loadError {
-          error = loadError
-        }
-        let loadTime = Date().timeIntervalSince(startLoadTime)
-        DispatchQueue.main.async {
-          withAnimation {
-            var message = messages.removeLast()
-            message.type = .info
-            if let error {
-              message.text = "Model loading failed: error \((error as NSError).code)"
-            } else {
-              message.text = "Model loaded in \(String(format: "%.2f", loadTime)) s"
-            }
-            messages.append(message)
-            if error == nil {
-              messages.append(Message(type: .generated))
+      if useLlama {
+        messages.append(Message(text: text))
+        messages.append(Message(type: .llamagenerated))
+
+        if let runner = runnerHolder.runner, !runner.isloaded() {
+          var error: Error?
+          let startLoadTime = Date()
+          do {
+            try runner.load()
+          } catch let loadError {
+            error = loadError
+          }
+
+          let loadTime = Date().timeIntervalSince(startLoadTime)
+          DispatchQueue.main.async {
+            withAnimation {
+              var message = messages.removeLast()
+              message.type = .info
+              if let error {
+                message.text = "Model loading failed: error \((error as NSError).code)"
+              } else {
+                message.text = "Model loaded in \(String(format: "%.2f", loadTime)) s"
+              }
+              messages.append(message)
+              if error == nil {
+                messages.append(Message(type: .llamagenerated))
+              }
             }
           }
+          if error != nil {
+            return
+          }
         }
-        if error != nil {
-          return
+      } else {
+        messages.append(Message(text: text))
+        messages.append(Message(type: .llavagenerated))
+
+        if let runner = runnerHolder.llavaRunner, !runner.isloaded() {
+          var error: Error?
+          let startLoadTime = Date()
+          do {
+            try runner.load()
+          } catch let loadError {
+            error = loadError
+          }
+
+          let loadTime = Date().timeIntervalSince(startLoadTime)
+          DispatchQueue.main.async {
+            withAnimation {
+              var message = messages.removeLast()
+              message.type = .info
+              if let error {
+                message.text = "Model loading failed: error \((error as NSError).code)"
+              } else {
+                message.text = "Model loaded in \(String(format: "%.2f", loadTime)) s"
+              }
+              messages.append(message)
+              if error == nil {
+                messages.append(Message(type: .llavagenerated))
+              }
+            }
+          }
+          if error != nil {
+            return
+          }
         }
       }
+
       guard !shouldStopGenerating else {
         DispatchQueue.main.async {
           withAnimation {
@@ -212,24 +376,79 @@ struct ContentView: View {
       }
       do {
         var tokens: [String] = []
-        try runnerHolder.runner?.generate(text, sequenceLength: seq_len) { token in
-          tokens.append(token)
-          if tokens.count > 2 {
-            let text = tokens.joined()
-            let count = tokens.count
-            tokens = []
-            DispatchQueue.main.async {
-              withAnimation {
-                var message = messages.removeLast()
-                message.text += text
-                message.tokenCount += count
-                message.dateUpdated = Date()
-                messages.append(message)
+        var rgbArray: [UInt8]?
+        let MAX_WIDTH = 336.0
+        var newHeight = 0.0
+        var imageBuffer: UnsafeMutableRawPointer?
+
+        if let img = selectedImage {
+          let llava_prompt = "\(text) ASSISTANT"
+
+          newHeight = MAX_WIDTH * img.size.height / img.size.width
+          let resizedImage = img.resized(to: CGSize(width: MAX_WIDTH, height: newHeight))
+          rgbArray = resizedImage.toRGBArray()
+          imageBuffer = UnsafeMutableRawPointer(mutating: rgbArray)
+
+          try runnerHolder.llavaRunner?.generate(imageBuffer!, width: MAX_WIDTH, height: newHeight, prompt: llava_prompt, sequenceLength: seq_len) { token in
+
+            if token != llava_prompt {
+              if token == "</s>" {
+                shouldStopGenerating = true
+                runnerHolder.runner?.stop()
+              } else {
+                tokens.append(token)
+                if tokens.count > 2 {
+                  let text = tokens.joined()
+                  let count = tokens.count
+                  tokens = []
+                  DispatchQueue.main.async {
+                    withAnimation {
+                      var message = messages.removeLast()
+                      message.text += text
+                      message.tokenCount += count
+                      message.dateUpdated = Date()
+                      messages.append(message)
+                    }
+                  }
+                }
+                if shouldStopGenerating {
+                  runnerHolder.runner?.stop()
+                }
               }
             }
           }
-          if shouldStopGenerating {
-            runnerHolder.runner?.stop()
+        } else {
+          let llama3_prompt = "<|begin_of_text|><|start_header_id|>user<|end_header_id|>\(text)<|eot_id|><|start_header_id|>assistant<|end_header_id|>"
+
+          try runnerHolder.runner?.generate(llama3_prompt, sequenceLength: seq_len) { token in
+
+            NSLog(">>> token={\(token)}")
+            if token != llama3_prompt && !shouldStopShowingToken {
+              // hack to fix the issue that extension/llm/runner/text_token_generator.h
+              // keeps generating after <|eot_id|>
+              if token == "<|eot_id|>" {
+                shouldStopShowingToken = true
+              } else {
+                tokens.append(token.trimmingCharacters(in: .newlines))
+                if tokens.count > 2 {
+                  let text = tokens.joined()
+                  let count = tokens.count
+                  tokens = []
+                  DispatchQueue.main.async {
+                    withAnimation {
+                      var message = messages.removeLast()
+                      message.text += text
+                      message.tokenCount += count
+                      message.dateUpdated = Date()
+                      messages.append(message)
+                    }
+                  }
+                }
+                if shouldStopGenerating {
+                  runnerHolder.runner?.stop()
+                }
+              }
+            }
           }
         }
       } catch {
@@ -284,3 +503,9 @@ struct ContentView: View {
     }
   }
 }
+
+extension View {
+  func hideKeyboard() {
+    UIApplication.shared.sendAction(#selector(UIResponder.resignFirstResponder), to: nil, from: nil, for: nil)
+  }
+}
diff --git a/examples/demo-apps/apple_ios/LLaMA/LLaMA/Application/ImagePicker.swift b/examples/demo-apps/apple_ios/LLaMA/LLaMA/Application/ImagePicker.swift
new file mode 100644
index 0000000000..57d71f6686
--- /dev/null
+++ b/examples/demo-apps/apple_ios/LLaMA/LLaMA/Application/ImagePicker.swift
@@ -0,0 +1,50 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+import SwiftUI
+import UIKit
+
+struct ImagePicker: UIViewControllerRepresentable {
+  class Coordinator: NSObject, UINavigationControllerDelegate, UIImagePickerControllerDelegate {
+    let parent: ImagePicker
+
+    init(parent: ImagePicker) {
+      self.parent = parent
+    }
+
+    func imagePickerController(_ picker: UIImagePickerController, didFinishPickingMediaWithInfo info: [UIImagePickerController.InfoKey: Any]) {
+      if let image = info[.originalImage] as? UIImage {
+        parent.selectedImage = image
+      }
+
+      parent.presentationMode.wrappedValue.dismiss()
+    }
+
+    func imagePickerControllerDidCancel(_ picker: UIImagePickerController) {
+      parent.selectedImage = nil
+      parent.presentationMode.wrappedValue.dismiss()
+    }
+  }
+
+  @Environment(\.presentationMode) var presentationMode
+  @Binding var selectedImage: UIImage?
+  var sourceType: UIImagePickerController.SourceType = .photoLibrary
+
+  func makeCoordinator() -> Coordinator {
+    Coordinator(parent: self)
+  }
+
+  func makeUIViewController(context: Context) -> UIImagePickerController {
+    let picker = UIImagePickerController()
+    picker.delegate = context.coordinator
+    picker.sourceType = sourceType
+    return picker
+  }
+
+  func updateUIViewController(_ uiViewController: UIImagePickerController, context: Context) {}
+}
diff --git a/examples/demo-apps/apple_ios/LLaMA/LLaMA/Application/Message.swift b/examples/demo-apps/apple_ios/LLaMA/LLaMA/Application/Message.swift
index b7e1b88c6a..400941f496 100644
--- a/examples/demo-apps/apple_ios/LLaMA/LLaMA/Application/Message.swift
+++ b/examples/demo-apps/apple_ios/LLaMA/LLaMA/Application/Message.swift
@@ -6,11 +6,12 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-import Foundation
+import UIKit
 
 enum MessageType {
   case prompted
-  case generated
+  case llamagenerated
+  case llavagenerated
   case info
 }
 
@@ -21,4 +22,5 @@ struct Message: Identifiable, Equatable {
   var type: MessageType = .prompted
   var text = ""
   var tokenCount = 0
+  var image: UIImage?
 }
diff --git a/examples/demo-apps/apple_ios/LLaMA/LLaMA/Application/MessageView.swift b/examples/demo-apps/apple_ios/LLaMA/LLaMA/Application/MessageView.swift
index e9ebbe953a..542a88377b 100644
--- a/examples/demo-apps/apple_ios/LLaMA/LLaMA/Application/MessageView.swift
+++ b/examples/demo-apps/apple_ios/LLaMA/LLaMA/Application/MessageView.swift
@@ -19,21 +19,34 @@ struct MessageView: View {
           .foregroundColor(.secondary)
           .padding([.leading, .trailing], 10)
       } else {
-        VStack(alignment: message.type == .generated ? .leading : .trailing) {
-          Text(message.type == .generated ? "LLaMA" : "Prompt")
-            .font(.caption)
-            .foregroundColor(.secondary)
-            .padding(message.type == .generated ? .trailing : .leading, 20)
+        VStack(alignment: message.type == .llamagenerated || message.type == .llavagenerated ? .leading : .trailing) {
+          if message.type == .llamagenerated || message.type == .llavagenerated || message.type == .prompted {
+            Text(message.type == .llamagenerated ? "Llama" : (message.type == .llavagenerated ? "Llava" : "Prompt"))
+              .font(.caption)
+              .foregroundColor(.secondary)
+              .padding(message.type == .llamagenerated || message.type == .llavagenerated ? .trailing : .leading, 20)
+          }
           HStack {
-            if message.type != .generated { Spacer() }
+            if message.type != .llamagenerated && message.type != .llavagenerated { Spacer() }
             if message.text.isEmpty {
-              ProgressView()
-                .progressViewStyle(CircularProgressViewStyle())
+              if let img = message.image {
+                Image(uiImage: img)
+                  .resizable()
+                  .scaledToFit()
+                  .frame(maxWidth: 200, maxHeight: 200)
+                  .padding()
+                  .background(Color.gray.opacity(0.2))
+                  .cornerRadius(8)
+                  .padding(.vertical, 2)
+              } else {
+                ProgressView()
+                  .progressViewStyle(CircularProgressViewStyle())
+              }
             } else {
               Text(message.text)
                 .padding(10)
-                .foregroundColor(message.type == .generated ? .primary : .white)
-                .background(message.type == .generated ? Color(UIColor.secondarySystemBackground) : Color.blue)
+                .foregroundColor(message.type == .llamagenerated || message.type == .llavagenerated ? .primary : .white)
+                .background(message.type == .llamagenerated || message.type == .llavagenerated ? Color(UIColor.secondarySystemBackground) : Color.blue)
                 .cornerRadius(20)
                 .contextMenu {
                   Button(action: {
@@ -44,14 +57,14 @@ struct MessageView: View {
                   }
                 }
             }
-            if message.type == .generated { Spacer() }
+            if message.type == .llamagenerated || message.type == .llavagenerated { Spacer() }
           }
           let elapsedTime = message.dateUpdated.timeIntervalSince(message.dateCreated)
           if elapsedTime > 0 && message.type != .info {
             Text(String(format: "%.1f t/s", Double(message.tokenCount) / elapsedTime))
               .font(.caption)
               .foregroundColor(.secondary)
-              .padding(message.type == .generated ? .trailing : .leading, 20)
+              .padding(message.type == .llamagenerated || message.type == .llavagenerated ? .trailing : .leading, 20)
           }
         }.padding([.leading, .trailing], message.type == .info ? 0 : 10)
       }
diff --git a/examples/demo-apps/apple_ios/LLaMA/LLaMAPerfBenchmark/LLaMAPerfBenchmark.entitlements b/examples/demo-apps/apple_ios/LLaMA/LLaMAPerfBenchmark/LLaMAPerfBenchmark.entitlements
new file mode 100644
index 0000000000..99f471672d
--- /dev/null
+++ b/examples/demo-apps/apple_ios/LLaMA/LLaMAPerfBenchmark/LLaMAPerfBenchmark.entitlements
@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
+<plist version="1.0">
+<dict>
+	<key>com.apple.developer.kernel.increased-memory-limit</key>
+	<true/>
+</dict>
+</plist>
diff --git a/examples/demo-apps/apple_ios/LLaMA/LLaMAPerfBenchmark/LLaMAPerfBenchmarkApp.swift b/examples/demo-apps/apple_ios/LLaMA/LLaMAPerfBenchmark/LLaMAPerfBenchmarkApp.swift
new file mode 100644
index 0000000000..b09321f155
--- /dev/null
+++ b/examples/demo-apps/apple_ios/LLaMA/LLaMAPerfBenchmark/LLaMAPerfBenchmarkApp.swift
@@ -0,0 +1,16 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+import SwiftUI
+
+@main
+struct LLaMAPerfBenchmarkApp: SwiftUI.App {
+  var body: some Scene {
+    WindowGroup { }
+  }
+}
diff --git a/examples/demo-apps/apple_ios/LLaMA/LLaMAPerfBenchmarkTests/LLaMAPerfBenchmarkTests.swift b/examples/demo-apps/apple_ios/LLaMA/LLaMAPerfBenchmarkTests/LLaMAPerfBenchmarkTests.swift
new file mode 100644
index 0000000000..fa798f019d
--- /dev/null
+++ b/examples/demo-apps/apple_ios/LLaMA/LLaMAPerfBenchmarkTests/LLaMAPerfBenchmarkTests.swift
@@ -0,0 +1,50 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+import LLaMARunner
+import XCTest
+
+final class LLaMAPerfBenchmarkTests: XCTestCase {
+  func testLlama2() throws {
+    guard
+      let modelPath = Bundle.main.path(
+        forResource: "llama2",
+        ofType: "pte",
+        inDirectory: "aatp/data"
+      )
+    else {
+      XCTFail("Failed to get model path")
+      return
+    }
+
+    guard
+      let tokenizerPath = Bundle.main.path(
+        forResource: "tokenizer",
+        ofType: "bin",
+        inDirectory: "aatp/data"
+      )
+    else {
+      XCTFail("Failed to get tokenizer path")
+      return
+    }
+
+    let runner = Runner(modelPath: modelPath, tokenizerPath: tokenizerPath)
+    do {
+      try runner.load()
+    } catch let loadError {
+      XCTFail("Failed to load the model: \(loadError)")
+    }
+    XCTAssertTrue(runner.isloaded())
+
+    let seq_len = 128
+    var tokens: [String] = []
+    try runner.generate("How do you do! I'm testing llama2 on mobile device", sequenceLength: seq_len) { token in
+      tokens.append(token)
+    }
+  }
+}
diff --git a/examples/demo-apps/apple_ios/LLaMA/LLaMARunner/LLaMARunner/Exported/LLaMARunner.h b/examples/demo-apps/apple_ios/LLaMA/LLaMARunner/LLaMARunner/Exported/LLaMARunner.h
index b34fa0fe60..c4edea2af9 100644
--- a/examples/demo-apps/apple_ios/LLaMA/LLaMARunner/LLaMARunner/Exported/LLaMARunner.h
+++ b/examples/demo-apps/apple_ios/LLaMA/LLaMARunner/LLaMARunner/Exported/LLaMARunner.h
@@ -6,11 +6,12 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-#import <Foundation/Foundation.h>
+#import <UIKit/UIKit.h>
 
 NS_ASSUME_NONNULL_BEGIN
 
 FOUNDATION_EXPORT NSErrorDomain const LLaMARunnerErrorDomain;
+FOUNDATION_EXPORT NSErrorDomain const LLaVARunnerErrorDomain;
 
 NS_SWIFT_NAME(Runner)
 @interface LLaMARunner : NSObject
@@ -30,4 +31,25 @@ NS_SWIFT_NAME(Runner)
 
 @end
 
+NS_SWIFT_NAME(LLaVARunner)
+@interface LLaVARunner : NSObject
+
+- (instancetype)initWithModelPath:(NSString*)filePath
+                    tokenizerPath:(NSString*)tokenizerPath;
+- (BOOL)isloaded;
+- (BOOL)loadWithError:(NSError**)error;
+- (BOOL)generate:(void*)imageBuffer
+                width:(CGFloat)width
+               height:(CGFloat)height
+               prompt:(NSString*)prompt
+       sequenceLength:(NSInteger)seq_len
+    withTokenCallback:(nullable void (^)(NSString*))callback
+                error:(NSError**)error;
+- (void)stop;
+
++ (instancetype)new NS_UNAVAILABLE;
+- (instancetype)init NS_UNAVAILABLE;
+
+@end
+
 NS_ASSUME_NONNULL_END
diff --git a/examples/demo-apps/apple_ios/LLaMA/LLaMARunner/LLaMARunner/Exported/LLaMARunner.mm b/examples/demo-apps/apple_ios/LLaMA/LLaMARunner/LLaMARunner/Exported/LLaMARunner.mm
index 07b6dce0aa..31b0df6998 100644
--- a/examples/demo-apps/apple_ios/LLaMA/LLaMARunner/LLaMARunner/Exported/LLaMARunner.mm
+++ b/examples/demo-apps/apple_ios/LLaMA/LLaMARunner/LLaMARunner/Exported/LLaMARunner.mm
@@ -10,16 +10,18 @@
 
 #import <ExecuTorch/ExecuTorchLog.h>
 #import <executorch/examples/models/llama2/runner/runner.h>
+#import <executorch/examples/models/llava/runner/llava_runner.h>
 
 using namespace ::torch::executor;
 
 NSErrorDomain const LLaMARunnerErrorDomain = @"LLaMARunnerErrorDomain";
+NSErrorDomain const LLaVARunnerErrorDomain = @"LLaVARunnerErrorDomain";
 
 @interface LLaMARunner ()<ExecuTorchLogSink>
 @end
 
 @implementation LLaMARunner {
-  std::unique_ptr<Runner> _runner;
+  std::unique_ptr<example::Runner> _runner;
 }
 
 - (instancetype)initWithModelPath:(NSString*)modelPath
@@ -27,7 +29,7 @@ - (instancetype)initWithModelPath:(NSString*)modelPath
   self = [super init];
   if (self) {
     [ExecuTorchLog.sharedLog addSink:self];
-    _runner = std::make_unique<Runner>(
+    _runner = std::make_unique<example::Runner>(
         modelPath.UTF8String, tokenizerPath.UTF8String);
   }
   return self;
@@ -102,3 +104,101 @@ - (void)logWithLevel:(ExecuTorchLogLevel)level
 }
 
 @end
+
+@interface LLaVARunner ()<ExecuTorchLogSink>
+@end
+
+@implementation LLaVARunner {
+  std::unique_ptr<example::LlavaRunner> _runner;
+}
+
+- (instancetype)initWithModelPath:(NSString*)modelPath
+                    tokenizerPath:(NSString*)tokenizerPath {
+  self = [super init];
+  if (self) {
+    [ExecuTorchLog.sharedLog addSink:self];
+    _runner = std::make_unique<example::LlavaRunner>(
+        modelPath.UTF8String, tokenizerPath.UTF8String);
+  }
+  return self;
+}
+
+- (void)dealloc {
+  [ExecuTorchLog.sharedLog removeSink:self];
+}
+
+- (BOOL)isloaded {
+  return _runner->is_loaded();
+}
+
+- (BOOL)loadWithError:(NSError**)error {
+  const auto status = _runner->load();
+  if (status != Error::Ok) {
+    if (error) {
+      *error = [NSError errorWithDomain:LLaVARunnerErrorDomain
+                                   code:(NSInteger)status
+                               userInfo:nil];
+    }
+    return NO;
+  }
+  return YES;
+}
+
+- (BOOL)generate:(void*)imageBuffer
+                width:(CGFloat)width
+               height:(CGFloat)height
+               prompt:(NSString*)prompt
+       sequenceLength:(NSInteger)seq_len
+    withTokenCallback:(nullable void (^)(NSString*))callback
+                error:(NSError**)error {
+  const auto* data = static_cast<uint8_t*>(imageBuffer);
+  const auto status = _runner->generate(
+      {Image{
+          std::vector<uint8_t>(
+              data, data + (int32_t)width * (int32_t)height * 3),
+          (int32_t)width,
+          (int32_t)height,
+          3}},
+      prompt.UTF8String,
+      seq_len,
+      [callback](const std::string& token) { callback(@(token.c_str())); });
+  if (status != Error::Ok) {
+    if (error) {
+      *error = [NSError errorWithDomain:LLaMARunnerErrorDomain
+                                   code:(NSInteger)status
+                               userInfo:nil];
+      return NO;
+    }
+  }
+  return YES;
+}
+
+- (void)stop {
+  _runner->stop();
+}
+
+#pragma mark - ExecuTorchLogSink
+
+- (void)logWithLevel:(ExecuTorchLogLevel)level
+           timestamp:(NSTimeInterval)timestamp
+            filename:(NSString*)filename
+                line:(NSUInteger)line
+             message:(NSString*)message {
+  NSUInteger totalSeconds = (NSUInteger)timestamp;
+  NSUInteger hours = (totalSeconds / 3600) % 24;
+  NSUInteger minutes = (totalSeconds / 60) % 60;
+  NSUInteger seconds = totalSeconds % 60;
+  NSUInteger microseconds = (timestamp - totalSeconds) * 1000000;
+  NSLog(
+      @"%c %02lu:%02lu:%02lu.%06lu executorch:%s:%zu] %s",
+      (char)level,
+      hours,
+      minutes,
+      seconds,
+      microseconds,
+      filename.UTF8String,
+      line,
+      message.UTF8String);
+}
+
+@end
diff --git a/examples/demo-apps/apple_ios/LLaMA/README.md b/examples/demo-apps/apple_ios/LLaMA/README.md
index ddd542a006..af91239124 100644
--- a/examples/demo-apps/apple_ios/LLaMA/README.md
+++ b/examples/demo-apps/apple_ios/LLaMA/README.md
@@ -1,52 +1,95 @@
-# Building ExecuTorch LLaMA iOS Demo App
+# ExecuTorch Llama iOS Demo App
 
-This app demonstrates the use of the LLaMA chat app demonstrating local inference use case with ExecuTorch.
+We’re excited to share that the newly revamped iOS demo app is live and includes many new updates to provide a more intuitive and smoother user experience with a chat use case! The primary goal of this app is to showcase how easily ExecuTorch can be integrated into an iOS demo app and how to exercise the many features ExecuTorch and Llama models have to offer.
 
-## Prerequisites
-* [Xcode 15](https://developer.apple.com/xcode)
-* [iOS 17 SDK](https://developer.apple.com/ios)
-* Set up your ExecuTorch repo and environment if you haven’t done so by following the [Setting up ExecuTorch](https://pytorch.org/executorch/stable/getting-started-setup) to set up the repo and dev environment:
+This app serves as a valuable resource to inspire your creativity and provide foundational code that you can customize and adapt for your particular use case.
 
-```bash
-git clone -b release/0.2 https://github.com/pytorch/executorch.git
-cd executorch
-git submodule update --init
+Please dive in and start exploring our demo app today! We look forward to any feedback and are excited to see your innovative ideas.
 
-python3 -m venv .venv && source .venv/bin/activate
+## Key Concepts
+From this demo app, you will learn many key concepts such as:
+* How to prepare Llama models, build the ExecuTorch library, and perform model inference across delegates
+* Expose the ExecuTorch library via Swift Package Manager
+* Familiarity with current ExecuTorch app-facing capabilities
 
-./install_requirements.sh
-```
+The goal is for you to see the type of support ExecuTorch provides and feel comfortable with leveraging it for your use cases.
+
+## Supported Models
+
+As a whole, the models that this app supports are (varies by delegate):
+* Llama 3.1 8B
+* Llama 3 8B
+* Llama 2 7B
+* Llava 1.5 (only XNNPACK)
+
+## Building the application
+First it’s important to note that currently ExecuTorch provides support across several delegates. Once you identify the delegate of your choice, select the README link to get a complete end-to-end instructions for environment set-up to export the models to build ExecuTorch libraries and apps to run on device:
 
-## Exporting models
-Please refer to the [ExecuTorch Llama2 docs](https://github.com/pytorch/executorch/blob/main/examples/models/llama2/README.md) to export the model.
+| Delegate                       | Resource                           |
+| ------------------------------ | ---------------------------------  |
+| XNNPACK (CPU-based library)    | [link](docs/delegates/xnnpack_README.md)|
+| MPS (Metal Performance Shader) | [link](docs/delegates/mps_README.md)    |
 
-## Run the App
+## How to Use the App
+This section will provide the main steps to use the app, along with a code snippet of the ExecuTorch API.
 
-1. Open the [project](https://github.com/pytorch/executorch/blob/main/examples/demo-apps/apple_ios/LLaMA/LLaMA.xcodeproj) in Xcode.
-2. Run the app (cmd+R).
-3. In app UI pick a model and tokenizer to use, type a prompt and tap the arrow buton
+### Swift Package Manager
 
-```{note}
 ExecuTorch runtime is distributed as a Swift package providing some .xcframework as prebuilt binary targets.
-Xcode will dowload and cache the package on the first run, which will take some time.
+Xcode will download and cache the package on the first run, which will take some time.
+
+Note: If you're running into any issues related to package dependencies, quit Xcode entirely, delete the whole executorch repo, clean the caches by running the command below in terminal and clone the repo again.
+
+```rm -rf \
+  ~/Library/org.swift.swiftpm \
+  ~/Library/Caches/org.swift.swiftpm \
+  ~/Library/Caches/com.apple.dt.Xcode \
+  ~/Library/Developer/Xcode/DerivedData
 ```
 
+Link your binary with the ExecuTorch runtime and any backends or kernels used by the exported ML model. It is recommended to link the core runtime to the components that use ExecuTorch directly, and link kernels and backends against the main app target.
+
+Note: To access logs, link against the Debug build of the ExecuTorch runtime, i.e., the executorch_debug framework. For optimal performance, always link against the Release version of the deliverables (those without the _debug suffix), which have all logging overhead removed.
+
+For more details integrating and Running ExecuTorch on Apple Platforms, checkout this [link](https://pytorch.org/executorch/main/apple-runtime.html).
+
+### XCode
+* Open XCode and select "Open an existing project" to open `examples/demo-apps/apple_ios/LLama`.
+* Ensure that the ExecuTorch package dependencies are installed correctly, then select which ExecuTorch framework should link against which target.
+
+<p align="center">
+<img src="docs/screenshots/ios_demo_app_swift_pm.png" alt="iOS LLaMA App Swift PM" width="600">
+</p>
+
+<p align="center">
+<img src="docs/screenshots/ios_demo_app_choosing_package.png" alt="iOS LLaMA App Choosing package" width="600">
+</p>
+
+* Run the app. This builds and launches the app on the phone.
+* In app UI pick a model and tokenizer to use, type a prompt and tap the arrow buton
+
 ## Copy the model to Simulator
 
-1. Drag&drop the model and tokenizer files onto the Simulator window and save them somewhere inside the iLLaMA folder.
-2. Pick the files in the app dialog, type a prompt and click the arrow-up button.
+* Drag&drop the model and tokenizer files onto the Simulator window and save them somewhere inside the iLLaMA folder.
+* Pick the files in the app dialog, type a prompt and click the arrow-up button.
 
 ## Copy the model to Device
 
-1. Wire-connect the device and open the contents in Finder.
-2. Navigate to the Files tab and drag&drop the model and tokenizer files onto the iLLaMA folder.
-3. Wait until the files are copied.
+* Wire-connect the device and open the contents in Finder.
+* Navigate to the Files tab and drag&drop the model and tokenizer files onto the iLLaMA folder.
+* Wait until the files are copied.
+
+If the app successfully run on your device, you should see something like below:
+
+<p align="center">
+<img src="./docs/screenshots/ios_demo_app.jpg" alt="iOS LLaMA App" width="300">
+</p>
 
-Click the image below to see it in action!
+For Llava 1.5 models, you can select and image (via image/camera selector button) before typing prompt and send button.
 
-<a href="https://pytorch.org/executorch/main/_static/img/llama_ios_app.mp4">
-  <img src="https://pytorch.org/executorch/main/_static/img/llama_ios_app.png" width="600" alt="iOS app running a LlaMA model">
-</a>
+<p align="center">
+<img src="./docs/screenshots/ios_demo_app_llava.jpg" alt="iOS LLaMA App" width="300">
+</p>
 
 ## Reporting Issues
 If you encountered any bugs or issues following this tutorial please file a bug/issue here on [Github](https://github.com/pytorch/executorch/issues/new).
diff --git a/examples/demo-apps/apple_ios/LLaMA/docs/delegates/mps_README.md b/examples/demo-apps/apple_ios/LLaMA/docs/delegates/mps_README.md
new file mode 100644
index 0000000000..c327e2175f
--- /dev/null
+++ b/examples/demo-apps/apple_ios/LLaMA/docs/delegates/mps_README.md
@@ -0,0 +1,113 @@
+# Building Llama iOS Demo for MPS Backend
+
+This tutorial covers the end to end workflow for building an iOS demo app using MPS backend on device.
+More specifically, it covers:
+1. Export and quantization of Llama models against the MPS backend.
+2. Building and linking libraries that are required to inference on-device for iOS platform using MPS.
+3. Building the iOS demo app itself.
+
+## Prerequisites
+* [Xcode 15](https://developer.apple.com/xcode)
+* [iOS 18 SDK](https://developer.apple.com/ios)
+* Set up your ExecuTorch repo and environment if you haven’t done so by following the [Setting up ExecuTorch](https://pytorch.org/executorch/stable/getting-started-setup) to set up the repo and dev environment:
+
+## Setup ExecuTorch
+In this section, we will need to set up the ExecuTorch repo first with Conda environment management. Make sure you have Conda available in your system (or follow the instructions to install it [here](https://conda.io/projects/conda/en/latest/user-guide/install/index.html)). The commands below are running on Linux (CentOS).
+
+Create a Conda environment
+
+```
+conda create -n et_mps python=3.10.0
+conda activate et_mps
+```
+
+Checkout ExecuTorch repo and sync submodules
+
+```
+git clone https://github.com/pytorch/executorch.git
+cd executorch
+git submodule sync
+git submodule update --init
+```
+
+Install dependencies
+
+```
+./install_requirements.sh
+```
+
+## Prepare Models
+In this demo app, we support text-only inference with Llama 3.1, Llama 3, and Llama 2 models.
+
+Install the required packages to export the model
+
+```
+sh examples/models/llama2/install_requirements.sh
+```
+
+Export the model
+```
+python -m examples.models.llama2.export_llama --checkpoint "${MODEL_DIR}/consolidated.00.pth" --params "${MODEL_DIR}/params.json" -kv --use_sdpa_with_kv_cache --mps -d fp32 --disable_dynamic_shape -qmode 8da4w -G 32
+```
+
+## Pushing Model and Tokenizer
+
+### Copy the model to Simulator
+* Drag&drop the model and tokenizer files onto the Simulator window and save them somewhere inside the iLLaMA folder.
+* Pick the files in the app dialog, type a prompt and click the arrow-up button.
+
+### Copy the model to Device
+* Wire-connect the device and open the contents in Finder.
+* Navigate to the Files tab and drag & drop the model and tokenizer files onto the iLLaMA folder.
+* Wait until the files are copied.
+
+## Configure the XCode Project
+
+### Install CMake
+Download and open the macOS .dmg installer at https://cmake.org/download and move the Cmake app to /Applications folder.
+Install Cmake command line tools:
+
+```
+sudo /Applications/CMake.app/Contents/bin/cmake-gui --install
+```
+
+
+### Swift Package Manager
+The prebuilt ExecuTorch runtime, backend, and kernels are available as a Swift PM package.
+
+### Xcode
+Open the project in Xcode.In Xcode, go to `File > Add Package Dependencies`. Paste the URL of the ExecuTorch repo into the search bar and select it. Make sure to change the branch name to the desired ExecuTorch version, e.g., “0.3.0”, or just use the “latest” branch name for the latest stable build.
+
+Note: If you're running into any issues related to package dependencies, quit Xcode entirely, delete the whole executorch repo, clean the caches by running the command below in terminal and clone the repo again.
+
+```rm -rf \
+  ~/Library/org.swift.swiftpm \
+  ~/Library/Caches/org.swift.swiftpm \
+  ~/Library/Caches/com.apple.dt.Xcode \
+  ~/Library/Developer/Xcode/DerivedData
+```
+
+Link your binary with the ExecuTorch runtime and any backends or kernels used by the exported ML model. It is recommended to link the core runtime to the components that use ExecuTorch directly, and link kernels and backends against the main app target.
+
+Note: To access logs, link against the Debug build of the ExecuTorch runtime, i.e., the executorch_debug framework. For optimal performance, always link against the Release version of the deliverables (those without the _debug suffix), which have all logging overhead removed.
+
+For more details integrating and Running ExecuTorch on Apple Platforms, checkout this [link](https://pytorch.org/executorch/main/apple-runtime.html).
+
+<p align="center">
+<img src="../screenshots/ios_demo_app_swift_pm.png" alt="iOS LLaMA App Swift PM" width="600">
+</p>
+
+Then select which ExecuTorch framework should link against which target.
+
+<p align="center">
+<img src="../screenshots/ios_demo_app_choosing_package.png" alt="iOS LLaMA App Choosing package" width="600">
+</p>
+
+Click “Run” to build the app and run in on your iPhone. If the app successfully run on your device, you should see something like below:
+
+<p align="center">
+<img src="../screenshots/ios_demo_app_mps.jpg" alt="iOS LLaMA App mps" width="300">
+</p>
+
+## Reporting Issues
+If you encountered any bugs or issues following this tutorial please file a bug/issue here on [Github](https://github.com/pytorch/executorch/issues/new).
diff --git a/examples/demo-apps/apple_ios/LLaMA/docs/delegates/xnnpack_README.md b/examples/demo-apps/apple_ios/LLaMA/docs/delegates/xnnpack_README.md
new file mode 100644
index 0000000000..cf4b931cf1
--- /dev/null
+++ b/examples/demo-apps/apple_ios/LLaMA/docs/delegates/xnnpack_README.md
@@ -0,0 +1,119 @@
+# Building Llama iOS Demo for XNNPack Backend
+
+This tutorial covers the end to end workflow for building an iOS demo app using XNNPack backend on device.
+More specifically, it covers:
+1. Export and quantization of Llama models against the XNNPack backend.
+2. Building and linking libraries that are required to inference on-device for iOS platform using XNNPack.
+3. Building the iOS demo app itself.
+
+## Prerequisites
+* [Xcode 15](https://developer.apple.com/xcode)
+* [iOS 17 SDK](https://developer.apple.com/ios)
+* Set up your ExecuTorch repo and environment if you haven’t done so by following the [Setting up ExecuTorch](https://pytorch.org/executorch/stable/getting-started-setup) to set up the repo and dev environment:
+
+## Setup ExecuTorch
+In this section, we will need to set up the ExecuTorch repo first with Conda environment management. Make sure you have Conda available in your system (or follow the instructions to install it [here](https://conda.io/projects/conda/en/latest/user-guide/install/index.html)). The commands below are running on Linux (CentOS).
+
+Create a Conda environment
+
+```
+conda create -n et_xnnpack python=3.10.0
+conda activate et_xnnpack
+```
+
+Checkout ExecuTorch repo and sync submodules
+
+```
+git clone https://github.com/pytorch/executorch.git
+cd executorch
+git submodule sync
+git submodule update --init
+```
+
+Install dependencies
+
+```
+./install_requirements.sh
+```
+
+## Prepare Models
+In this demo app, we support text-only inference with up-to-date Llama models.
+
+Install the required packages to export the model
+
+```
+sh examples/models/llama2/install_requirements.sh
+```
+
+Export the model
+```
+python -m examples.models.llama2.export_llama --checkpoint <consolidated.00.pth> -p <params.json> -kv --use_sdpa_with_kv_cache -X -qmode 8da4w  --group_size 128 -d fp32 --metadata '{"get_bos_id":128000, "get_eos_ids":[128009, 128001]}' --embedding-quantize 4,32 --output_name="llama3_kv_sdpa_xnn_qe_4_32.pte"
+```
+
+## Pushing Model and Tokenizer
+
+### Copy the model to Simulator
+* Drag&drop the model and tokenizer files onto the Simulator window and save them somewhere inside the iLLaMA folder.
+* Pick the files in the app dialog, type a prompt and click the arrow-up button.
+
+### Copy the model to Device
+* Wire-connect the device and open the contents in Finder.
+* Navigate to the Files tab and drag & drop the model and tokenizer files onto the iLLaMA folder.
+* Wait until the files are copied.
+
+## Configure the XCode Project
+
+### Install CMake
+Download and open the macOS .dmg installer at https://cmake.org/download and move the Cmake app to /Applications folder.
+Install Cmake command line tools:
+
+```
+sudo /Applications/CMake.app/Contents/bin/cmake-gui --install
+```
+
+
+### Swift Package Manager
+The prebuilt ExecuTorch runtime, backend, and kernels are available as a Swift PM package.
+
+### Xcode
+Open the project in Xcode.In Xcode, go to `File > Add Package Dependencies`. Paste the URL of the ExecuTorch repo into the search bar and select it. Make sure to change the branch name to the desired ExecuTorch version, e.g., “0.3.0”, or just use the “latest” branch name for the latest stable build.
+
+Note: If you're running into any issues related to package dependencies, quit Xcode entirely, delete the whole executorch repo, clean the caches by running the command below in terminal and clone the repo again.
+
+```rm -rf \
+  ~/Library/org.swift.swiftpm \
+  ~/Library/Caches/org.swift.swiftpm \
+  ~/Library/Caches/com.apple.dt.Xcode \
+  ~/Library/Developer/Xcode/DerivedData
+```
+
+Link your binary with the ExecuTorch runtime and any backends or kernels used by the exported ML model. It is recommended to link the core runtime to the components that use ExecuTorch directly, and link kernels and backends against the main app target.
+
+Note: To access logs, link against the Debug build of the ExecuTorch runtime, i.e., the executorch_debug framework. For optimal performance, always link against the Release version of the deliverables (those without the _debug suffix), which have all logging overhead removed.
+
+For more details integrating and Running ExecuTorch on Apple Platforms, checkout this [link](https://pytorch.org/executorch/main/apple-runtime.html).
+
+<p align="center">
+<img src="../screenshots/ios_demo_app_swift_pm.png" alt="iOS LLaMA App Swift PM" width="600">
+</p>
+
+Then select which ExecuTorch framework should link against which target.
+
+<p align="center">
+<img src="../screenshots/ios_demo_app_choosing_package.png" alt="iOS LLaMA App Choosing package" width="600">
+</p>
+
+Click “Run” to build the app and run in on your iPhone. If the app successfully run on your device, you should see something like below:
+
+<p align="center">
+<img src="../screenshots/ios_demo_app.jpg" alt="iOS LLaMA App" width="300">
+</p>
+
+For Llava 1.5 models, you can select and image (via image/camera selector button) before typing prompt and send button.
+
+<p align="center">
+<img src="../screenshots/ios_demo_app_llava.jpg" alt="iOS LLaMA App" width="300">
+</p>
+
+## Reporting Issues
+If you encountered any bugs or issues following this tutorial please file a bug/issue here on [Github](https://github.com/pytorch/executorch/issues/new).
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diff --git a/examples/demo-apps/apple_ios/LLaMA/llama31.png b/examples/demo-apps/apple_ios/LLaMA/llama31.png
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/examples/demo-apps/apple_ios/LLaMA/llava.png b/examples/demo-apps/apple_ios/LLaMA/llava.png
new file mode 100644
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diff --git a/examples/demo-apps/apple_ios/default-ios-device-farm-appium-test-spec.yml b/examples/demo-apps/apple_ios/default-ios-device-farm-appium-test-spec.yml
new file mode 100644
index 0000000000..fcb2e7a978
--- /dev/null
+++ b/examples/demo-apps/apple_ios/default-ios-device-farm-appium-test-spec.yml
@@ -0,0 +1,33 @@
+version: 0.1
+
+# Phases are collection of commands that get executed on Device Farm.
+phases:
+  # The install phase includes commands that install dependencies that your tests use.
+  # Default dependencies for testing frameworks supported on Device Farm are already installed.
+  install:
+    commands:
+
+  # The pre-test phase includes commands that setup your test environment.
+  pre_test:
+    commands:
+      - mkdir $DEVICEFARM_TEST_PACKAGE_PATH/Debug-iphoneos
+      - mkdir $DEVICEFARM_TEST_PACKAGE_PATH/Release-iphoneos
+      - unzip $DEVICEFARM_APP_PATH -d /tmp
+      - cp -r /tmp/Payload/*.app $DEVICEFARM_TEST_PACKAGE_PATH/Debug-iphoneos/
+      - cp -r /tmp/Payload/*.app $DEVICEFARM_TEST_PACKAGE_PATH/Release-iphoneos/
+
+  # The test phase includes commands that run your test suite execution.
+  test:
+    commands:
+      - xcodebuild test-without-building -destination id=$DEVICEFARM_DEVICE_UDID -xctestrun $DEVICEFARM_TEST_PACKAGE_PATH/*.xctestrun -derivedDataPath $DEVICEFARM_LOG_DIR
+
+  # The post test phase includes are commands that are run after your tests are executed.
+  post_test:
+    commands:
+
+# The artifacts phase lets you specify the location where your tests logs, device logs will be stored.
+# And also let you specify the location of your test logs and artifacts which you want to be collected by Device Farm.
+# These logs and artifacts will be available through ListArtifacts API in Device Farm.
+artifacts:
+  # By default, Device Farm will collect your artifacts from following directories
+  - $DEVICEFARM_LOG_DIR
diff --git a/examples/devtools/CMakeLists.txt b/examples/devtools/CMakeLists.txt
new file mode 100644
index 0000000000..7ed5232ba4
--- /dev/null
+++ b/examples/devtools/CMakeLists.txt
@@ -0,0 +1,92 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# Example CMakeLists.txt for building executor_runner with Developer Tools
+# support. In this example we link devtools and bundled_program libraries into
+# executor_runner binary
+cmake_minimum_required(VERSION 3.19)
+project(devtools_example)
+
+option(EXECUTORCH_BUILD_COREML "Build the Core ML backend" OFF)
+
+set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
+if(NOT CMAKE_CXX_STANDARD)
+  set(CMAKE_CXX_STANDARD 17)
+endif()
+
+# Source root directory for executorch.
+if(NOT EXECUTORCH_ROOT)
+  set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../..)
+endif()
+
+include(${EXECUTORCH_ROOT}/build/Utils.cmake)
+include(${EXECUTORCH_ROOT}/build/Codegen.cmake)
+
+if(NOT PYTHON_EXECUTABLE)
+  resolve_python_executable()
+endif()
+
+set(_common_compile_options -Wno-deprecated-declarations -fPIC)
+
+# Let files say "include <executorch/path/to/header.h>".
+set(_common_include_directories ${EXECUTORCH_ROOT}/..)
+
+# Find prebuilt libraries. executorch package should contain portable_ops_lib,
+# etdump, bundled_program.
+find_package(executorch CONFIG REQUIRED)
+target_link_options_shared_lib(executorch)
+target_link_options_shared_lib(portable_ops_lib)
+
+target_include_directories(executorch INTERFACE ${_common_include_directories})
+
+find_package(
+  gflags REQUIRED PATHS ${CMAKE_CURRENT_BINARY_DIR}/../../third-party
+)
+
+add_executable(example_runner example_runner/example_runner.cpp)
+target_compile_options(executorch INTERFACE -DET_EVENT_TRACER_ENABLED)
+
+target_include_directories(
+  etdump INTERFACE ${CMAKE_CURRENT_BINARY_DIR}/../../devtools/include
+                   ${EXECUTORCH_ROOT}/third-party/flatcc/include
+)
+target_link_libraries(
+  example_runner
+  executorch
+  gflags
+  etdump
+  extension_data_loader
+  bundled_program
+  flatccrt
+  portable_ops_lib
+  portable_kernels
+)
+
+if(EXECUTORCH_BUILD_COREML)
+  find_library(ACCELERATE_FRAMEWORK Accelerate)
+  find_library(COREML_FRAMEWORK CoreML)
+  find_library(FOUNDATION_FRAMEWORK Foundation)
+  find_library(SQLITE_LIBRARY sqlite3)
+
+  set(PROTOBUF_LIB_DIR
+      ${CMAKE_CURRENT_BINARY_DIR}/../../backends/apple/coreml/third-party/coremltools/deps/protobuf/cmake
+  )
+  find_library(
+    PROTOBUF_LITE REQUIRED
+    NAMES libprotobuf-lite.a
+    PATHS ${PROTOBUF_LIB_DIR}
+    NO_DEFAULT_PATH
+  )
+
+  target_link_libraries(
+    example_runner "-Wl,-force_load" coremldelegate
+  )
+
+  target_link_libraries(
+    example_runner ${PROTOBUF_LITE} ${ACCELERATE_FRAMEWORK}
+    ${COREML_FRAMEWORK} ${FOUNDATION_FRAMEWORK} ${SQLITE_LIBRARY}
+  )
+endif()
diff --git a/examples/devtools/README.md b/examples/devtools/README.md
new file mode 100644
index 0000000000..256fb58157
--- /dev/null
+++ b/examples/devtools/README.md
@@ -0,0 +1,84 @@
+# Developer Tools Examples
+This directory contains examples of BundledProgram and ETDump generation.
+
+## Directory structure
+```bash
+examples/devtools
+├── scripts                           # Python scripts to illustrate export workflow of bundled program.
+├── executor_runner                   # Contains an example for both BundledProgram to verify ExecuTorch model, and generate ETDump for runtime results.
+└── README.md                         # Current file
+```
+
+## BundledProgram
+
+We will use an example model (in `torch.nn.Module`) and its representative inputs, both from [`models/`](../models) directory, to generate a [BundledProgram(`.bpte`)](../../docs/source/sdk-bundled-io.md) file using the [script](scripts/export_bundled_program.py). Then we will use [devtools/example_runner](example_runner/example_runner.cpp) to execute the `.bpte` model on the ExecuTorch runtime and verify the model on BundledProgram API.
+
+
+1. Sets up the basic development environment for ExecuTorch by [Setting up ExecuTorch from GitHub](https://pytorch.org/executorch/stable/getting-started-setup).
+
+2. Using the [script](scripts/export_bundled_program.py) to generate a BundledProgram binary file by retreiving a `torch.nn.Module` model and its representative inputs from the list of available models in the [`models/`](../models) dir.
+
+```bash
+cd executorch # To the top level dir
+
+# To get a list of example models
+python3 -m examples.devtools.scripts.export_bundled_program -h
+
+# To generate a specific `.bpte` model
+python3 -m examples.devtools.scripts.export_bundled_program -m mv2 # for MobileNetv2
+
+# This should generate ./mv2_bundled.bpte file, if successful.
+```
+
+3. Once we have the BundledProgram binary (`.bpte`) file, then let's run and verify it with ExecuTorch runtime and BundledProgram APIs using the [devtools/example_runner](example_runner/example_runner.cpp).
+
+```bash
+   cd executorch
+   ./examples/devtools/build_example_runner.sh
+   ./cmake-out/examples/devtools/example_runner --bundled_program_path mv2_bundled.bpte --output_verification
+   ```
+
+
+## ETDump
+
+### Getting Started
+
+After exporting a `BundledProgram`, runtime profiling and debug data can be collected in an ``ETDump``. An ``ETDump`` is a buffer containing data generated by hooks within the ExecuTorch runtime.
+We offer an example runner that accepts a `BundledProgram` (`.bpte`) and runs a single iteration over the first method defined.
+
+Running the program will generate an `ETDump` file (`.etdp`) at the location specified by `--etdump_path`. Make sure to build the program as specified below to enable the event tracer.
+
+```bash
+   ./cmake-out/examples/devtools/example_runner --bundled_program_path mv2_bundled.bpte --etdump_path mv2_etdump.etdp
+   ```
+
+### Parsing ETDump
+
+Once an `ETDump` has been generated, it can be viewed using the CLI inspector. This will print a tabular view of the data recorded in the ETDump.
+
+```bash
+   python3 -m devtools.inspector.inspector_cli --etdump_path mv2_etdump.etdp
+   ```
+### ETDump C++ API
+
+ETDump profiling can also be used in a custom C++ program. `ETDumpGen` is an implementation of the abstract `EventTracer` class.  Include the header file located at `devtools/etdump/etdump_flatcc.h`. To initialize the ETDump generator, construct it before loading the method from the program.
+
+```cpp
+   torch::executor::ETDumpGen etdump_gen = torch::executor::ETDumpGen();
+   Result<Method> method =
+      program->load_method(method_name, &memory_manager, &etdump_gen);
+   ```
+
+Since the `EventTracer` hooks are embedded within the runtime, profiling and debug data will be automatically recorded.
+
+Once execution has completed, finalize the ETDump buffer. This returns an `etdump_result`, a struct with the finalized buffer and its size.
+
+```cpp
+   etdump_result result = etdump_gen.get_etdump_data();
+   if (result.buf != nullptr && result.size > 0) {
+    FILE* f = fopen(FLAGS_etdump_path.c_str(), "w+");
+    fwrite((uint8_t*)result.buf, 1, result.size, f);
+    fclose(f);
+    free(result.buf);
+  }
+   ```
diff --git a/examples/devtools/build_example_runner.sh b/examples/devtools/build_example_runner.sh
new file mode 100755
index 0000000000..9f35abb1a3
--- /dev/null
+++ b/examples/devtools/build_example_runner.sh
@@ -0,0 +1,82 @@
+#!/bin/bash
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# Builds example_runner and prints its path.
+
+set -euo pipefail
+
+SCRIPT_DIR="$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )"
+readonly SCRIPT_DIR
+
+readonly EXECUTORCH_ROOT="${SCRIPT_DIR}/../.."
+
+# Allow overriding the number of build jobs. Default to 9.
+export CMAKE_BUILD_PARALLEL_LEVEL="${CMAKE_BUILD_PARALLEL_LEVEL:-9}"
+
+BUILD_COREML=OFF
+
+usage() {
+  echo "Builds example runner."
+  echo "Options:"
+  echo "  --coreml             Include this flag to enable Core ML backend when building the Developer Tools."
+  exit 0
+}
+
+for arg in "$@"; do
+  case $arg in
+      -h|--help) usage ;;
+      --coreml) BUILD_COREML=ON ;;
+      *)
+  esac
+done
+
+main() {
+  cd "${EXECUTORCH_ROOT}"
+
+  rm -rf cmake-out
+
+  if [[ "${BUILD_COREML}" == "ON" ]]; then
+    cmake -DCMAKE_INSTALL_PREFIX=cmake-out \
+        -DCMAKE_BUILD_TYPE=Release \
+        -DEXECUTORCH_BUILD_DEVTOOLS=ON \
+        -DEXECUTORCH_ENABLE_EVENT_TRACER=ON \
+        -DEXECUTORCH_BUILD_COREML=ON \
+        -Dprotobuf_BUILD_TESTS=OFF \
+        -Dprotobuf_BUILD_EXAMPLES=OFF \
+        -DEXECUTORCH_ENABLE_LOGGING=ON \
+        -Bcmake-out .
+  else
+   cmake -DCMAKE_INSTALL_PREFIX=cmake-out \
+      -DCMAKE_BUILD_TYPE=Release \
+      -DEXECUTORCH_BUILD_DEVTOOLS=ON \
+      -DEXECUTORCH_ENABLE_EVENT_TRACER=ON \
+      -Bcmake-out .
+  fi
+
+  cmake --build cmake-out --target install --config Release
+
+  local example_dir=examples/devtools
+  local build_dir="cmake-out/${example_dir}"
+  local cmake_prefix_path="${PWD}/cmake-out/lib/cmake/ExecuTorch;${PWD}/cmake-out/third-party/gflags"
+  rm -rf ${build_dir}
+  cmake -DCMAKE_PREFIX_PATH="${cmake_prefix_path}" \
+      -DCMAKE_BUILD_TYPE=Release \
+      -DEXECUTORCH_BUILD_COREML=$BUILD_COREML \
+      -B"${build_dir}" \
+      "${example_dir}"
+  cmake --build "${build_dir}" --config Release
+
+  local runner="${PWD}/${build_dir}/example_runner"
+  if [[ ! -f "${runner}" ]]; then
+    echo "ERROR: Failed to build ${build_dir}/example_runner" >&2
+    exit 1
+  else
+    echo "Built ${build_dir}/example_runner"
+  fi
+}
+
+main "$@"
diff --git a/backends/xnnpack/threadpool/TARGETS b/examples/devtools/example_runner/TARGETS
similarity index 100%
rename from backends/xnnpack/threadpool/TARGETS
rename to examples/devtools/example_runner/TARGETS
diff --git a/examples/devtools/example_runner/example_runner.cpp b/examples/devtools/example_runner/example_runner.cpp
new file mode 100644
index 0000000000..4d0d70ee8b
--- /dev/null
+++ b/examples/devtools/example_runner/example_runner.cpp
@@ -0,0 +1,298 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+/**
+ * @file
+ *
+ * This tool can run ExecuTorch model files that only use operators that
+ * are covered by the portable kernels, with possible delegate to the
+ * test_backend_compiler_lib.
+ *
+ * It sets all input tensor data to ones, and assumes that the outputs are
+ * all fp32 tensors.
+ */
+
+#include <fstream>
+#include <memory>
+
+#include <gflags/gflags.h>
+
+#include <executorch/devtools/bundled_program/bundled_program.h>
+#include <executorch/devtools/etdump/etdump_flatcc.h>
+#include <executorch/extension/data_loader/buffer_data_loader.h>
+#include <executorch/runtime/executor/method.h>
+#include <executorch/runtime/executor/program.h>
+#include <executorch/runtime/platform/log.h>
+#include <executorch/runtime/platform/runtime.h>
+
+static std::array<uint8_t, 4 * 1024U * 1024U> method_allocator_pool; // 4MB
+
+DEFINE_string(
+    bundled_program_path,
+    "model_bundled.bpte",
+    "Model serialized in flatbuffer format.");
+
+DEFINE_int32(
+    testset_idx,
+    0,
+    "Index of bundled verification set to be run "
+    "by bundled model for verification");
+
+DEFINE_string(
+    etdump_path,
+    "etdump.etdp",
+    "If etdump generation is enabled an etdump will be written out to this path");
+
+DEFINE_bool(
+    output_verification,
+    false,
+    "Comapre the model output to the reference outputs present in the BundledProgram.");
+
+DEFINE_bool(
+    print_output,
+    false,
+    "Print the output of the ET model to stdout, if needs.");
+
+DEFINE_bool(dump_outputs, false, "Dump outputs to etdump file");
+
+DEFINE_bool(
+    dump_intermediate_outputs,
+    false,
+    "Dump intermediate outputs to etdump file.");
+
+DEFINE_string(
+    debug_output_path,
+    "debug_output.bin",
+    "Path to dump debug outputs to.");
+
+DEFINE_int32(
+    debug_buffer_size,
+    262144, // 256 KB
+    "Size of the debug buffer in bytes to allocate for intermediate outputs and program outputs logging.");
+
+using namespace torch::executor;
+
+std::vector<uint8_t> load_file_or_die(const char* path) {
+  std::ifstream file(path, std::ios::binary | std::ios::ate);
+  const size_t nbytes = file.tellg();
+  file.seekg(0, std::ios::beg);
+  auto file_data = std::vector<uint8_t>(nbytes);
+  ET_CHECK_MSG(
+      file.read(reinterpret_cast<char*>(file_data.data()), nbytes),
+      "Could not load contents of file '%s'",
+      path);
+  return file_data;
+}
+
+int main(int argc, char** argv) {
+  runtime_init();
+
+  gflags::ParseCommandLineFlags(&argc, &argv, true);
+  if (argc != 1) {
+    std::string msg = "Extra commandline args:";
+    for (int i = 1 /* skip argv[0] (program name) */; i < argc; i++) {
+      msg += std::string(" ") + argv[i];
+    }
+    ET_LOG(Error, "%s", msg.c_str());
+    return 1;
+  }
+
+  // Read in the entire file.
+  const char* bundled_program_path = FLAGS_bundled_program_path.c_str();
+  std::vector<uint8_t> file_data = load_file_or_die(bundled_program_path);
+
+  // Find the offset to the embedded Program.
+  const void* program_data;
+  size_t program_data_len;
+  Error status = torch::executor::bundled_program::GetProgramData(
+      reinterpret_cast<void*>(file_data.data()),
+      file_data.size(),
+      &program_data,
+      &program_data_len);
+  ET_CHECK_MSG(
+      status == Error::Ok,
+      "GetProgramData() failed on file '%s': 0x%x",
+      bundled_program_path,
+      (unsigned int)status);
+
+  auto buffer_data_loader =
+      util::BufferDataLoader(program_data, program_data_len);
+
+  // Parse the program file. This is immutable, and can also be reused
+  // between multiple execution invocations across multiple threads.
+  Result<Program> program = Program::load(&buffer_data_loader);
+  if (!program.ok()) {
+    ET_LOG(Error, "Failed to parse model file %s", bundled_program_path);
+    return 1;
+  }
+  ET_LOG(Info, "Model file %s is loaded.", bundled_program_path);
+
+  // Use the first method in the program.
+  const char* method_name = nullptr;
+  {
+    const auto method_name_result = program->get_method_name(0);
+    ET_CHECK_MSG(method_name_result.ok(), "Program has no methods");
+    method_name = *method_name_result;
+  }
+  ET_LOG(Info, "Running method %s", method_name);
+
+  // MethodMeta describes the memory requirements of the method.
+  Result<MethodMeta> method_meta = program->method_meta(method_name);
+  ET_CHECK_MSG(
+      method_meta.ok(),
+      "Failed to get method_meta for %s: 0x%x",
+      method_name,
+      (unsigned int)method_meta.error());
+
+  //
+  // The runtime does not use malloc/new; it allocates all memory using the
+  // MemoryManger provided by the client. Clients are responsible for allocating
+  // the memory ahead of time, or providing MemoryAllocator subclasses that can
+  // do it dynamically.
+  //
+
+  // The method allocator is used to allocate all dynamic C++ metadata/objects
+  // used to represent the loaded method. This allocator is only used during
+  // loading a method of the program, which will return an error if there was
+  // not enough memory.
+  //
+  // The amount of memory required depends on the loaded method and the runtime
+  // code itself. The amount of memory here is usually determined by running the
+  // method and seeing how much memory is actually used, though it's possible to
+  // subclass MemoryAllocator so that it calls malloc() under the hood (see
+  // MallocMemoryAllocator).
+  //
+  // In this example we use a statically allocated memory pool.
+  MemoryAllocator method_allocator{MemoryAllocator(
+      sizeof(method_allocator_pool), method_allocator_pool.data())};
+
+  // The memory-planned buffers will back the mutable tensors used by the
+  // method. The sizes of these buffers were determined ahead of time during the
+  // memory-planning pasees.
+  //
+  // Each buffer typically corresponds to a different hardware memory bank. Most
+  // mobile environments will only have a single buffer. Some embedded
+  // environments may have more than one for, e.g., slow/large DRAM and
+  // fast/small SRAM, or for memory associated with particular cores.
+  std::vector<std::unique_ptr<uint8_t[]>> planned_buffers; // Owns the memory
+  std::vector<Span<uint8_t>> planned_spans; // Passed to the allocator
+  size_t num_memory_planned_buffers = method_meta->num_memory_planned_buffers();
+  for (size_t id = 0; id < num_memory_planned_buffers; ++id) {
+    // .get() will always succeed because id < num_memory_planned_buffers.
+    size_t buffer_size =
+        static_cast<size_t>(method_meta->memory_planned_buffer_size(id).get());
+    ET_LOG(Info, "Setting up planned buffer %zu, size %zu.", id, buffer_size);
+    planned_buffers.push_back(std::make_unique<uint8_t[]>(buffer_size));
+    planned_spans.push_back({planned_buffers.back().get(), buffer_size});
+  }
+  HierarchicalAllocator planned_memory(
+      {planned_spans.data(), planned_spans.size()});
+
+  // Assemble all of the allocators into the MemoryManager that the Executor
+  // will use.
+  MemoryManager memory_manager(&method_allocator, &planned_memory);
+
+  //
+  // Load the method from the program, using the provided allocators. Running
+  // the method can mutate the memory-planned buffers, so the method should only
+  // be used by a single thread at at time, but it can be reused.
+  //
+  torch::executor::ETDumpGen etdump_gen = torch::executor::ETDumpGen();
+  Result<Method> method =
+      program->load_method(method_name, &memory_manager, &etdump_gen);
+  ET_CHECK_MSG(
+      method.ok(),
+      "Loading of method %s failed with status 0x%" PRIx32,
+      method_name,
+      method.error());
+  ET_LOG(Info, "Method loaded.");
+
+  void* debug_buffer = malloc(FLAGS_debug_buffer_size);
+  if (FLAGS_dump_intermediate_outputs) {
+    Span<uint8_t> buffer((uint8_t*)debug_buffer, FLAGS_debug_buffer_size);
+    etdump_gen.set_debug_buffer(buffer);
+    etdump_gen.set_event_tracer_debug_level(
+        EventTracerDebugLogLevel::kIntermediateOutputs);
+  } else if (FLAGS_dump_outputs) {
+    Span<uint8_t> buffer((uint8_t*)debug_buffer, FLAGS_debug_buffer_size);
+    etdump_gen.set_debug_buffer(buffer);
+    etdump_gen.set_event_tracer_debug_level(
+        EventTracerDebugLogLevel::kProgramOutputs);
+  }
+  // Use the inputs embedded in the bundled program.
+  status = torch::executor::bundled_program::LoadBundledInput(
+      *method, file_data.data(), FLAGS_testset_idx);
+  ET_CHECK_MSG(
+      status == Error::Ok,
+      "LoadBundledInput failed with status 0x%" PRIx32,
+      status);
+
+  ET_LOG(Info, "Inputs prepared.");
+
+  // Run the model.
+  status = method->execute();
+  ET_CHECK_MSG(
+      status == Error::Ok,
+      "Execution of method %s failed with status 0x%" PRIx32,
+      method_name,
+      status);
+  ET_LOG(Info, "Model executed successfully.");
+
+  // Print the outputs.
+  if (FLAGS_print_output) {
+    std::vector<EValue> outputs(method->outputs_size());
+    status = method->get_outputs(outputs.data(), outputs.size());
+    ET_CHECK(status == Error::Ok);
+    for (EValue& output : outputs) {
+      // TODO(T159700776): This assumes that all outputs are fp32 tensors. Add
+      // support for other EValues and Tensor dtypes, and print tensors in a
+      // more readable way.
+      auto output_tensor = output.toTensor();
+      auto data_output = output_tensor.const_data_ptr<float>();
+      for (size_t j = 0; j < output_tensor.numel(); ++j) {
+        ET_LOG(Info, "%f", data_output[j]);
+      }
+    }
+  }
+
+  // Dump the etdump data containing profiling/debugging data to the specified
+  // file.
+  etdump_result result = etdump_gen.get_etdump_data();
+  if (result.buf != nullptr && result.size > 0) {
+    FILE* f = fopen(FLAGS_etdump_path.c_str(), "w+");
+    fwrite((uint8_t*)result.buf, 1, result.size, f);
+    fclose(f);
+    free(result.buf);
+  }
+
+  if (FLAGS_output_verification) {
+    // Verify the outputs.
+    status =
+        torch::executor::bundled_program::VerifyResultWithBundledExpectedOutput(
+            *method,
+            file_data.data(),
+            FLAGS_testset_idx,
+            1e-3, // rtol
+            1e-5 // atol
+        );
+    ET_CHECK_MSG(
+        status == Error::Ok,
+        "Bundle verification failed with status 0x%" PRIx32,
+        status);
+    ET_LOG(Info, "Model verified successfully.");
+  }
+
+  if (FLAGS_dump_outputs || FLAGS_dump_intermediate_outputs) {
+    FILE* f = fopen(FLAGS_debug_output_path.c_str(), "w+");
+    fwrite((uint8_t*)debug_buffer, 1, FLAGS_debug_buffer_size, f);
+    fclose(f);
+  }
+  free(debug_buffer);
+
+  return 0;
+}
diff --git a/examples/devtools/example_runner/targets.bzl b/examples/devtools/example_runner/targets.bzl
new file mode 100644
index 0000000000..6faf53173d
--- /dev/null
+++ b/examples/devtools/example_runner/targets.bzl
@@ -0,0 +1,30 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "get_oss_build_kwargs", "runtime")
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+
+    # Test driver for models with bundled inputs.
+    runtime.cxx_binary(
+        name = "example_runner",
+        srcs = [
+            "example_runner.cpp",
+        ],
+        deps = [
+            "//executorch/runtime/executor/test:test_backend_compiler_lib",
+            "//executorch/kernels/portable:generated_lib",
+            "//executorch/runtime/executor:program",
+            "//executorch/extension/data_loader:file_data_loader",
+            "//executorch/extension/data_loader:buffer_data_loader",
+            "//executorch/devtools/etdump:etdump_flatcc",
+            "//executorch/devtools/bundled_program:runtime",
+        ],
+        external_deps = [
+            "gflags",
+        ],
+        define_static_target = True,
+        **get_oss_build_kwargs()
+    )
diff --git a/examples/sdk/scripts/etrecord.bin b/examples/devtools/scripts/etrecord.bin
similarity index 100%
rename from examples/sdk/scripts/etrecord.bin
rename to examples/devtools/scripts/etrecord.bin
diff --git a/examples/sdk/scripts/export_bundled_program.py b/examples/devtools/scripts/export_bundled_program.py
similarity index 95%
rename from examples/sdk/scripts/export_bundled_program.py
rename to examples/devtools/scripts/export_bundled_program.py
index 7e118a78c1..143a7b0e66 100644
--- a/examples/sdk/scripts/export_bundled_program.py
+++ b/examples/devtools/scripts/export_bundled_program.py
@@ -6,24 +6,26 @@
 
 # Example script for exporting simple models to flatbuffer
 
+# pyre-unsafe
+
 import argparse
 
 from typing import List
 
 import torch
-
-from executorch.exir import ExecutorchProgramManager
-from executorch.extension.export_util.utils import export_to_exec_prog
-from executorch.sdk import BundledProgram
-from executorch.sdk.bundled_program.config import (
+from executorch.devtools import BundledProgram
+from executorch.devtools.bundled_program.config import (
     MethodInputType,
     MethodTestCase,
     MethodTestSuite,
 )
-from executorch.sdk.bundled_program.serialize import (
+from executorch.devtools.bundled_program.serialize import (
     serialize_from_bundled_program_to_flatbuffer,
 )
 
+from executorch.exir import ExecutorchProgramManager
+from executorch.extension.export_util.utils import export_to_exec_prog
+
 from ...models import MODEL_NAME_TO_MODEL
 from ...models.model_factory import EagerModelFactory
 
@@ -37,7 +39,7 @@ def save_bundled_program(
     Generates a bundled program from the given ET program and saves it to the specified path.
 
     Args:
-        program: The ExecuTorch program to bundle.
+        executorch_program: The ExecuTorch program to bundle.
         method_test_suites: The MethodTestSuites which contains test cases to include in the bundled program.
         output_path: Path to save the bundled program.
     """
diff --git a/examples/sdk/scripts/gen_sample_etrecord.py b/examples/devtools/scripts/gen_sample_etrecord.py
similarity index 91%
rename from examples/sdk/scripts/gen_sample_etrecord.py
rename to examples/devtools/scripts/gen_sample_etrecord.py
index c219ed4094..9194b7caa2 100644
--- a/examples/sdk/scripts/gen_sample_etrecord.py
+++ b/examples/devtools/scripts/gen_sample_etrecord.py
@@ -4,12 +4,15 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 # Generate fixture files
 import argparse
 import copy
 from typing import Any
 
 import torch
+from executorch.devtools import generate_etrecord
 from executorch.exir import (
     EdgeCompileConfig,
     EdgeProgramManager,
@@ -17,8 +20,6 @@
     ExportedProgram,
     to_edge,
 )
-from executorch.exir.capture._config import ExecutorchBackendConfig
-from executorch.sdk import generate_etrecord
 from torch.export import export
 
 from ...models import MODEL_NAME_TO_MODEL
@@ -38,9 +39,7 @@ def gen_etrecord(model: torch.nn.Module, inputs: Any, output_path=None):
         aten_dialect, compile_config=EdgeCompileConfig(_check_ir_validity=True)
     )
     edge_program_copy = copy.deepcopy(edge_program)
-    et_program: ExecutorchProgramManager = edge_program_copy.to_executorch(
-        config=ExecutorchBackendConfig(extract_constant_segment=False)
-    )
+    et_program: ExecutorchProgramManager = edge_program_copy.to_executorch()
     generate_etrecord(
         (DEFAULT_OUTPUT_PATH if not output_path else output_path),
         edge_dialect_program=edge_program,
diff --git a/examples/devtools/test_example_runner.sh b/examples/devtools/test_example_runner.sh
new file mode 100644
index 0000000000..9c9ed782cb
--- /dev/null
+++ b/examples/devtools/test_example_runner.sh
@@ -0,0 +1,62 @@
+#!/bin/bash
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# Test the end-to-end flow of building devtools/example_runner and use it to run
+# an actual model.
+
+
+set -e
+
+# shellcheck source=/dev/null
+source "$(dirname "${BASH_SOURCE[0]}")/../../.ci/scripts/utils.sh"
+
+cmake_install_executorch_devtools_lib() {
+  echo "Installing libexecutorch.a, libportable_kernels.a, libetdump.a, libbundled_program.a"
+  rm -rf cmake-out
+
+  retry cmake -DCMAKE_INSTALL_PREFIX=cmake-out \
+          -DCMAKE_BUILD_TYPE=Release \
+          -DEXECUTORCH_BUILD_DEVTOOLS=ON \
+          -DEXECUTORCH_ENABLE_EVENT_TRACER=ON \
+          -DPYTHON_EXECUTABLE="$PYTHON_EXECUTABLE" \
+          -Bcmake-out .
+  cmake --build cmake-out -j9 --target install --config Release
+}
+
+test_cmake_devtools_example_runner() {
+  echo "Exporting MobilenetV2"
+  ${PYTHON_EXECUTABLE} -m examples.devtools.scripts.export_bundled_program --model_name="mv2"
+  local example_dir=examples/devtools
+  local build_dir=cmake-out/${example_dir}
+  CMAKE_PREFIX_PATH="${PWD}/cmake-out/lib/cmake/ExecuTorch;${PWD}/cmake-out/third-party/gflags"
+  rm -rf ${build_dir}
+  retry cmake \
+        -DCMAKE_PREFIX_PATH="$CMAKE_PREFIX_PATH" \
+        -DCMAKE_BUILD_TYPE=Release \
+        -DPYTHON_EXECUTABLE="$PYTHON_EXECUTABLE" \
+        -B${build_dir} \
+        ${example_dir}
+
+  echo "Building ${example_dir}"
+  cmake --build ${build_dir} -j9 --config Release
+
+  echo 'Running example_runner'
+  ${build_dir}/example_runner --bundled_program_path="./mv2_bundled.bpte"
+}
+
+if [[ -z $PYTHON_EXECUTABLE ]];
+then
+  PYTHON_EXECUTABLE=python3
+fi
+
+if [[ -z $BUCK ]];
+then
+  BUCK=buck2
+fi
+
+cmake_install_executorch_devtools_lib
+test_cmake_devtools_example_runner
diff --git a/examples/llm_manual/CMakeLists.txt b/examples/llm_manual/CMakeLists.txt
index 185665180f..e5054a683a 100644
--- a/examples/llm_manual/CMakeLists.txt
+++ b/examples/llm_manual/CMakeLists.txt
@@ -13,6 +13,7 @@ set(CMAKE_CXX_STANDARD_REQUIRED True)
 # Set options for executorch build.
 option(EXECUTORCH_BUILD_EXTENSION_DATA_LOADER "" ON)
 option(EXECUTORCH_BUILD_EXTENSION_MODULE "" ON)
+option(EXECUTORCH_BUILD_EXTENSION_TENSOR "" ON)
 option(EXECUTORCH_BUILD_KERNELS_OPTIMIZED "" ON)
 option(EXECUTORCH_BUILD_XNNPACK "" ON) # Build with Xnnpack backend
 
@@ -29,6 +30,7 @@ target_link_libraries(
   nanogpt_runner
   PRIVATE executorch
           extension_module_static # Provides the Module class
+          extension_tensor # Provides the TensorPtr class
           optimized_native_cpu_ops_lib # Provides baseline cross-platform
                                        # kernels
           xnnpack_backend
diff --git a/examples/llm_manual/basic_sampler.h b/examples/llm_manual/basic_sampler.h
index a95b823de8..b4fc8fe248 100644
--- a/examples/llm_manual/basic_sampler.h
+++ b/examples/llm_manual/basic_sampler.h
@@ -6,12 +6,14 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#pragma once
+
 #include <algorithm>
 #include <vector>
+
 class BasicSampler {
  public:
-  BasicSampler() {}
-  int64_t sample(std::vector<float> logits) {
+  int64_t sample(const std::vector<float>& logits) {
     // Find the token with the highest log probability.
     int64_t max_index =
         std::max_element(logits.begin(), logits.end()) - logits.begin();
diff --git a/examples/llm_manual/basic_tokenizer.h b/examples/llm_manual/basic_tokenizer.h
index eb51d15fc5..385bfaaca4 100644
--- a/examples/llm_manual/basic_tokenizer.h
+++ b/examples/llm_manual/basic_tokenizer.h
@@ -6,21 +6,22 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#pragma once
+
 #include <fstream>
 #include <iostream>
-#include <sstream>
 #include <string>
 #include <unordered_map>
 #include <vector>
 
 class BasicTokenizer {
  public:
-  BasicTokenizer(const std::string& filePath) {
-    std::ifstream file(filePath);
+  explicit BasicTokenizer(const std::string& file_path) {
+    std::ifstream file(file_path);
 
     if (!file) {
-      std::cerr << "Unable to open file";
-      exit(9); // return with error code
+      std::cerr << "Unable to open file " << file_path << "\n";
+      exit(9);
     }
     std::string str(
         (std::istreambuf_iterator<char>(file)),
diff --git a/examples/llm_manual/main.cpp b/examples/llm_manual/main.cpp
index 992272a416..3c4ecd71af 100644
--- a/examples/llm_manual/main.cpp
+++ b/examples/llm_manual/main.cpp
@@ -6,31 +6,24 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-// main.cpp
-
 #include <cstdint>
-#include <functional>
-#include <memory>
-#include <unordered_map>
 
 #include "basic_sampler.h"
 #include "basic_tokenizer.h"
-#include "managed_tensor.h"
 
-#include <executorch/extension/evalue_util/print_evalue.h>
 #include <executorch/extension/module/module.h>
+#include <executorch/extension/tensor/tensor.h>
+#include <executorch/runtime/core/evalue.h>
 #include <executorch/runtime/core/exec_aten/exec_aten.h>
-#include <executorch/runtime/core/exec_aten/util/dim_order_util.h>
-#include <executorch/runtime/core/exec_aten/util/tensor_util.h>
-
-using namespace torch::executor;
+#include <executorch/runtime/core/result.h>
 
-using SizesType = exec_aten::SizesType;
-using DimOrderType = exec_aten::DimOrderType;
-using StridesType = exec_aten::StridesType;
-
-// main.cpp
+using exec_aten::ScalarType;
+using exec_aten::Tensor;
+using executorch::extension::Module;
+using executorch::runtime::EValue;
+using executorch::runtime::Result;
 
+// The value of the gpt2 `<|endoftext|>` token.
 #define ENDOFTEXT 50256
 
 std::string generate(
@@ -49,14 +42,13 @@ std::string generate(
   for (auto i = 0u; i < max_output_length; i++) {
     // Convert the input_tokens from a vector of int64_t to EValue.
     // EValue is a unified data type in the ExecuTorch runtime.
-    ManagedTensor tensor_tokens(
+    auto inputs = from_blob(
         input_tokens.data(),
         {1, static_cast<int>(input_tokens.size())},
         ScalarType::Long);
-    std::vector<EValue> inputs = {tensor_tokens.get_tensor()};
 
     // Run the model. It will return a tensor of logits (log-probabilities).
-    Result<std::vector<EValue>> logits_evalue = llm_model.forward(inputs);
+    auto logits_evalue = llm_model.forward(inputs);
 
     // Convert the output logits from EValue to std::vector, which is what
     // the sampler expects.
diff --git a/examples/llm_manual/managed_tensor.h b/examples/llm_manual/managed_tensor.h
deleted file mode 100644
index d401ae4d18..0000000000
--- a/examples/llm_manual/managed_tensor.h
+++ /dev/null
@@ -1,74 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#include <executorch/runtime/core/exec_aten/exec_aten.h>
-#include <executorch/runtime/core/exec_aten/util/dim_order_util.h>
-#include <executorch/runtime/core/exec_aten/util/tensor_util.h>
-#include <executorch/runtime/platform/assert.h>
-
-#include <executorch/runtime/core/portable_type/tensor.h>
-
-#pragma once
-
-namespace torch {
-namespace executor {
-
-/**
- * A tensor wrapper takes ownership of all the memory of the necessary metadata
- * for torch::executor::Tensor. Note that it doesn't own the data memory.
- */
-class ManagedTensor {
- public:
-  /// The type used for elements of `sizes()`.
-  using SizesType = exec_aten::SizesType;
-  /// The type used for elements of `dim_order()`.
-  using DimOrderType = exec_aten::DimOrderType;
-  /// The type used for elements of `strides()`.
-  using StridesType = exec_aten::StridesType;
-  ManagedTensor() = delete;
-
-  explicit ManagedTensor(
-      void* data,
-      const std::vector<SizesType>& sizes,
-      ScalarType dtype)
-      : dtype_(dtype), sizes_(sizes), data_ptr_(data) {
-    ssize_t dim = sizes.size();
-    dim_order_.resize(dim);
-    strides_.resize(dim);
-    for (size_t i = 0; i < dim; ++i) {
-      dim_order_[i] = i;
-    }
-    dim_order_to_stride_nocheck(
-        sizes.data(), dim_order_.data(), dim, strides_.data());
-    tensor_impl_ = std::make_unique<TensorImpl>(
-        dtype_,
-        dim,
-        sizes_.data(),
-        data_ptr_,
-        dim_order_.data(),
-        strides_.data(),
-        TensorShapeDynamism::DYNAMIC_BOUND);
-  }
-
-  /**
-   * Get the Tensor object managed by this class.
-   */
-  Tensor get_tensor() {
-    return Tensor(tensor_impl_.get());
-  }
-
- private:
-  void* data_ptr_ = nullptr;
-  std::unique_ptr<TensorImpl> tensor_impl_;
-  std::vector<SizesType> sizes_;
-  std::vector<StridesType> strides_;
-  std::vector<DimOrderType> dim_order_;
-  ScalarType dtype_;
-};
-} // namespace executor
-} // namespace torch
diff --git a/examples/llm_pte_finetuning/TARGETS b/examples/llm_pte_finetuning/TARGETS
new file mode 100644
index 0000000000..fee6791490
--- /dev/null
+++ b/examples/llm_pte_finetuning/TARGETS
@@ -0,0 +1,70 @@
+load("@fbcode_macros//build_defs:python_binary.bzl", "python_binary")
+load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
+
+oncall("papaya_oncall")
+
+python_library(
+    name = "model_loading_lib",
+    srcs = [
+        "model_loading_lib.py",
+    ],
+    deps = [
+        "fbcode//caffe2:torch",
+        "fbcode//executorch/examples/llm_pte_finetuning:training_lib",
+        "fbcode//executorch/exir:lib",
+        "fbcode//executorch/extension/pybindings:aten_lib",  # @manual For PTE loader
+        "fbcode//pytorch/torchtune:lib",
+        "fbsource//third-party/pypi/blobfile:blobfile",  # @manual For tokenizer
+        "fbsource//third-party/pypi/omegaconf:omegaconf",
+        "fbsource//third-party/pypi/tiktoken:tiktoken",  # @manual For tokenizer
+    ],
+)
+
+python_library(
+    name = "training_lib",
+    srcs = [
+        "training_lib.py",
+    ],
+    deps = [
+        "fbcode//caffe2:torch",
+        "fbcode//executorch/extension/pybindings:aten_lib",  # @manual For PTE loader
+        "fbcode//pytorch/torchtune:lib",
+        "fbsource//third-party/pypi/blobfile:blobfile",  # @manual For tokenizer
+        "fbsource//third-party/pypi/tiktoken:tiktoken",  # @manual For tokenizer
+        "fbsource//third-party/pypi/tqdm:tqdm",
+    ],
+)
+
+python_binary(
+    name = "runner",
+    srcs = [
+        "runner.py",
+    ],
+    main_function = "executorch.examples.llm_pte_finetuning.runner.main",
+    deps = [
+        "fbcode//caffe2:torch",
+        "fbcode//executorch/examples/llm_pte_finetuning:training_lib",
+        "fbcode//pytorch/torchtune:lib",
+        "fbsource//third-party/pypi/blobfile:blobfile",  # @manual For tokenizer
+        "fbsource//third-party/pypi/omegaconf:omegaconf",
+        "fbsource//third-party/pypi/tiktoken:tiktoken",  # @manual For tokenizer
+        "fbsource//third-party/pypi/tqdm:tqdm",
+    ],
+)
+
+python_binary(
+    name = "model_exporter",
+    srcs = [
+        "model_exporter.py",
+    ],
+    main_function = "executorch.examples.llm_pte_finetuning.model_exporter.main",
+    deps = [
+        "fbcode//caffe2:torch",
+        "fbcode//executorch/examples/llm_pte_finetuning:model_loading_lib",  # @manual for model loading
+        "fbcode//executorch/examples/llm_pte_finetuning:training_lib",  # @manual for model exporting
+        "fbcode//pytorch/torchtune:lib",
+        "fbsource//third-party/pypi/blobfile:blobfile",  # @manual For tokenizer
+        "fbsource//third-party/pypi/omegaconf:omegaconf",
+        "fbsource//third-party/pypi/tiktoken:tiktoken",  # @manual For tokenizer
+    ],
+)
diff --git a/examples/llm_pte_finetuning/model_exporter.py b/examples/llm_pte_finetuning/model_exporter.py
new file mode 100644
index 0000000000..e7f074c876
--- /dev/null
+++ b/examples/llm_pte_finetuning/model_exporter.py
@@ -0,0 +1,87 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-strict
+
+import argparse
+
+import torch
+from executorch.examples.llm_pte_finetuning.model_loading_lib import (
+    export_model_lora_training,
+    load_checkpoint,
+    setup_model,
+)
+
+from executorch.examples.llm_pte_finetuning.training_lib import (
+    get_dataloader,
+    TrainingModule,
+)
+
+from omegaconf import OmegaConf
+from torch.nn import functional as F
+from torchtune import config
+
+from torchtune.training import MODEL_KEY
+
+parser = argparse.ArgumentParser(
+    prog="ModelExporter",
+    description="Export a LoRA model to ExecuTorch.",
+    epilog="Model exported to be used for fine-tuning.",
+)
+
+parser.add_argument("--cfg", type=str, help="Path to the config file.")
+parser.add_argument("--output_file", type=str, help="Path to the output ET model.")
+
+
+def main() -> None:
+    args = parser.parse_args()
+    config_file = args.cfg
+    output_file = args.output_file
+    cfg = OmegaConf.load(config_file)
+    tokenizer = config.instantiate(
+        cfg.tokenizer,
+    )
+
+    loss_fn = config.instantiate(cfg.loss)
+
+    ds = config.instantiate(cfg.dataset, tokenizer)
+    train_set, val_set = torch.utils.data.random_split(ds, [0.8, 0.2])
+    train_dataloader = get_dataloader(cfg, train_set, tokenizer, loss_fn)
+
+    max_seq_len = cfg.tokenizer.max_seq_len
+
+    # Example inputs, needed for ET export.
+    batch = next(iter(train_dataloader))
+    tokens, labels = batch["tokens"], batch["labels"]
+    token_size = tokens.shape[1]
+    labels_size = labels.shape[1]
+
+    if token_size > max_seq_len:
+        tokens = tokens[:, :max_seq_len]
+    else:
+        tokens = F.pad(tokens, (0, max_seq_len - token_size), value=0)
+
+    if labels_size > max_seq_len:
+        labels = labels[:, :max_seq_len]
+    else:
+        labels = F.pad(labels, (0, max_seq_len - labels_size), value=0)
+
+    # Load pre-trained checkpoint.
+    checkpoint_dict = load_checkpoint(cfg=cfg)
+    model = setup_model(
+        # pyre-ignore
+        cfg=cfg,
+        base_model_state_dict=checkpoint_dict[MODEL_KEY],
+    )
+
+    training_module = TrainingModule(model, loss_fn)
+
+    # Export the model to ExecuTorch for training.
+    export_model_lora_training(training_module, (tokens, labels), output_file)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/examples/llm_pte_finetuning/model_loading_lib.py b/examples/llm_pte_finetuning/model_loading_lib.py
new file mode 100644
index 0000000000..3372a97e26
--- /dev/null
+++ b/examples/llm_pte_finetuning/model_loading_lib.py
@@ -0,0 +1,88 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-strict
+
+from typing import Any, Dict, Tuple
+
+import torch
+from executorch.examples.llm_pte_finetuning.training_lib import TrainingModule
+from executorch.exir import to_edge
+
+from omegaconf import DictConfig
+from torch.export import export, ExportedProgram
+from torch.export.experimental import _export_forward_backward
+from torch.nn.attention import sdpa_kernel, SDPBackend
+from torchtune import config
+from torchtune.modules.peft import get_adapter_params, set_trainable_params
+from torchtune.training.precision import get_dtype, set_default_dtype
+from torchtune.utils._device import get_device
+
+
+def load_checkpoint(cfg: Any) -> Dict[str, Any]:  # pyre-ignore[2]
+    """
+    Extract the checkpoint state from file and validate. This includes the
+    base model weights. If resume_from_checkpoint is True, this also includes
+    the adapter weights and recipe state
+    """
+    checkpointer = config.instantiate(
+        cfg.checkpointer,
+        resume_from_checkpoint=cfg.resume_from_checkpoint,
+    )
+    checkpoint_dict = checkpointer.load_checkpoint()
+    return checkpoint_dict
+
+
+def setup_model(
+    cfg: DictConfig,
+    base_model_state_dict: Dict[str, Any],
+) -> torch.nn.Module:
+    device = get_device(device=cfg.device)
+    dtype = get_dtype(cfg.dtype, device=device)
+    with set_default_dtype(dtype), device:
+        model = config.instantiate(cfg.model)
+
+    adapter_params = get_adapter_params(model)
+    set_trainable_params(model, adapter_params)
+    model.load_state_dict(base_model_state_dict, strict=False)
+    return model
+
+
+def export_model_lora_training(
+    model: TrainingModule,
+    example_args: Tuple[Any, ...],  # pyre-ignore[2]
+    output_file: str,
+) -> None:
+    """
+    Export model with LoRA model to executorch for training, only.
+    """
+
+    # 0. Mark the LoRA layers as trainable (requires_grad = True) in order
+    # to just export the backwards pass for these layers later in the
+    # export process.
+    set_trainable_params(model, get_adapter_params(model))
+
+    print("Exporting model with LoRA for training")
+    # 1. torch.export: Defines the program with the ATen operator set.
+
+    with sdpa_kernel([SDPBackend.MATH]):
+        exported_graph: ExportedProgram = export(model, example_args, strict=False)
+        print("Creating a joint forward-backwards graph for training")
+        joint_graph = _export_forward_backward(exported_graph)
+
+        # 2. to_edge: Make optimizations for Edge devices.
+        print("Lowering to edge dialect")
+        edge_program = to_edge(joint_graph)
+
+        print(edge_program._edge_programs["forward"].graph_module)
+
+    # 3. to_executorch: Convert the graph to an ExecuTorch program.
+    print("Exporting to executorch")
+    executorch_program = edge_program.to_executorch()
+    print(executorch_program.exported_program().graph_signature)
+    print(f"Saving to {output_file}")
+    with open(output_file, "wb") as file:
+        file.write(executorch_program.buffer)
diff --git a/examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml b/examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml
new file mode 100644
index 0000000000..88e5bfac70
--- /dev/null
+++ b/examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml
@@ -0,0 +1,49 @@
+tokenizer:
+  _component_: torchtune.models.phi3.phi3_mini_tokenizer
+  path: /tmp/Phi-3-mini-4k-instruct/tokenizer.model
+  max_seq_len: 1024
+
+dataset:
+  _component_: torchtune.datasets.instruct_dataset
+  template: papaya.toolkit.experimental.llm_pte_finetuning.utils.DatabricksDolly
+  source: iamtarun/python_code_instructions_18k_alpaca
+  split: train
+  column_map:
+    instruction: instruction
+    prompt: prompt
+    input: input
+    output: output
+seed: null
+shuffle: True
+batch_size: 1
+
+loss:
+  _component_: torch.nn.CrossEntropyLoss
+
+model:
+  _component_: torchtune.models.phi3.lora_phi3_mini
+  lora_attn_modules: ['q_proj', 'v_proj']
+  apply_lora_to_mlp: False
+  apply_lora_to_output: False
+  lora_rank: 8
+  lora_alpha: 16
+
+checkpointer:
+  _component_: torchtune.training.FullModelHFCheckpointer
+  checkpoint_dir: /tmp/Phi-3-mini-4k-instruct
+  checkpoint_files: [
+    model-00001-of-00002.safetensors,
+    model-00002-of-00002.safetensors
+  ]
+  recipe_checkpoint: null
+  output_dir: /tmp/Phi-3-mini-4k-instruct/
+  model_type: PHI3_MINI
+
+resume_from_checkpoint: False
+save_adapter_weights_only: False
+
+device: cpu
+dtype: fp32
+
+enable_activation_checkpointing: True
+compile: False
diff --git a/examples/llm_pte_finetuning/phi3_config.yaml b/examples/llm_pte_finetuning/phi3_config.yaml
new file mode 100644
index 0000000000..7417ece79b
--- /dev/null
+++ b/examples/llm_pte_finetuning/phi3_config.yaml
@@ -0,0 +1,40 @@
+tokenizer:
+  _component_: torchtune.models.phi3.phi3_mini_tokenizer
+  path: /tmp/Phi-3-mini-4k-instruct/tokenizer.model
+  max_seq_len: 512
+
+dataset:
+  _component_: torchtune.datasets.alpaca_cleaned_dataset
+seed: null
+shuffle: True
+batch_size: 1
+
+loss:
+  _component_: torch.nn.CrossEntropyLoss
+
+model:
+  _component_: torchtune.models.phi3.lora_phi3_mini
+  lora_attn_modules: ['q_proj', 'v_proj']
+  apply_lora_to_mlp: False
+  apply_lora_to_output: False
+  lora_rank: 8
+  lora_alpha: 16
+
+checkpointer:
+  _component_: torchtune.training.FullModelHFCheckpointer
+  checkpoint_dir: /tmp/Phi-3-mini-4k-instruct
+  checkpoint_files: [
+    model-00001-of-00002.safetensors,
+    model-00002-of-00002.safetensors
+  ]
+  recipe_checkpoint: null
+  output_dir: /tmp/Phi-3-mini-4k-instruct/
+  model_type: PHI3_MINI
+resume_from_checkpoint: False
+save_adapter_weights_only: False
+
+device: cpu
+dtype: fp32
+
+enable_activation_checkpointing: True
+compile: False
diff --git a/examples/llm_pte_finetuning/qwen_05b_config.yaml b/examples/llm_pte_finetuning/qwen_05b_config.yaml
new file mode 100644
index 0000000000..b93517b8fd
--- /dev/null
+++ b/examples/llm_pte_finetuning/qwen_05b_config.yaml
@@ -0,0 +1,39 @@
+tokenizer:
+  _component_: torchtune.models.qwen2.qwen2_tokenizer
+  path: /tmp/Qwen2-0.5B-Instruct/vocab.json
+  merges_file: /tmp/Qwen2-0.5B-Instruct/merges.txt
+  max_seq_len: 512
+
+dataset:
+  _component_: torchtune.datasets.alpaca_cleaned_dataset
+seed: null
+shuffle: True
+batch_size: 1
+
+loss:
+  _component_: torch.nn.CrossEntropyLoss
+
+model:
+  _component_: torchtune.models.qwen2.lora_qwen2_0_5b
+  lora_attn_modules: ['q_proj', 'k_proj', 'v_proj']
+  apply_lora_to_mlp: False
+  lora_rank: 32
+  lora_alpha: 64
+
+checkpointer:
+  _component_: torchtune.training.FullModelHFCheckpointer
+  checkpoint_dir: /tmp/Qwen2-0.5B-Instruct
+  checkpoint_files: [
+    model.safetensors
+  ]
+  recipe_checkpoint: null
+  output_dir: /tmp/Qwen2-0.5B-Instruct
+  model_type: QWEN2
+resume_from_checkpoint: False
+save_adapter_weights_only: False
+
+device: cpu
+dtype: fp32
+
+enable_activation_checkpointing: True
+compile: False
diff --git a/examples/llm_pte_finetuning/runner.py b/examples/llm_pte_finetuning/runner.py
new file mode 100644
index 0000000000..2e01fdafe8
--- /dev/null
+++ b/examples/llm_pte_finetuning/runner.py
@@ -0,0 +1,118 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-strict
+
+import argparse
+
+import torch
+from executorch.examples.llm_pte_finetuning.training_lib import (
+    eval_model,
+    get_dataloader,
+    update_function,
+)
+
+from executorch.extension.pybindings.aten_lib import (  # @manual
+    _load_for_executorch_from_buffer,
+)
+from omegaconf import OmegaConf
+from torch.nn import functional as F
+from torchtune import config
+from tqdm import tqdm
+
+parser = argparse.ArgumentParser(
+    prog="Runner",
+    description="Fine tunes LoRA model using ExecuTorch.",
+    epilog="Model exported to be used for fine-tuning.",
+)
+parser.add_argument("--cfg", type=str, help="Path to the config file.")
+parser.add_argument("--model_file", type=str, help="Path to the ET model file.")
+
+
+def main() -> None:
+    args = parser.parse_args()
+    config_file = args.cfg
+    file = args.model_file
+    cfg = OmegaConf.load(config_file)
+    tokenizer = config.instantiate(
+        cfg.tokenizer,
+    )
+
+    loss_fn = config.instantiate(cfg.loss)
+
+    ds = config.instantiate(cfg.dataset, tokenizer)
+    train_set, val_set = torch.utils.data.random_split(ds, [0.8, 0.2])
+    train_dataloader = get_dataloader(cfg, train_set, tokenizer, loss_fn)
+    val_dataloader = get_dataloader(cfg, val_set, tokenizer, loss_fn)
+
+    max_seq_len = cfg.tokenizer.max_seq_len
+    # Num of steps to run training. Assume 1 epoch
+    num_steps = 100
+    with open(file, "rb") as f:
+        model_bytes = f.read()
+        et_mod = _load_for_executorch_from_buffer(model_bytes)
+
+        # Evaluate the model before training.
+        print("Evaluating the model before training")
+        eval_loss = eval_model(
+            model=et_mod,
+            dataloader=val_dataloader,
+            loss_fn=loss_fn,
+            max_seq_len=max_seq_len,
+            num_eval_steps=10,
+        )
+        print("Eval loss: ", eval_loss)
+
+        # Based on executorch/extension/training/module/training_module.cpp
+        # grads run from [grad_start, param_start]
+        # params run from [param_start, outputs_end]
+        grad_start = et_mod.run_method("__et_training_gradients_index_forward", [])[0]
+        param_start = et_mod.run_method("__et_training_parameters_index_forward", [])[0]
+        learning_rate = 5e-3
+        f.seek(0)
+        losses = []
+        for i, batch in tqdm(enumerate(train_dataloader), total=num_steps):
+            # Run for a limited number of steps.
+            if i >= num_steps:
+                break
+            tokens, labels = batch["tokens"], batch["labels"]
+            token_size = tokens.shape[1]
+            labels_size = labels.shape[1]
+
+            # Fixed length for now. We need to resize as the input shapes
+            # should be the same passed as examples to the export function.
+            if token_size > max_seq_len:
+                tokens = tokens[:, :max_seq_len]
+            else:
+                tokens = F.pad(tokens, (0, max_seq_len - token_size), value=0)
+
+            if labels_size > max_seq_len:
+                labels = labels[:, :max_seq_len]
+            else:
+                labels = F.pad(labels, (0, max_seq_len - labels_size), value=0)
+
+            out = et_mod.forward((tokens, labels))
+
+            loss = out[0]
+            losses.append(loss.item())
+            with torch.no_grad():
+                for grad, param in zip(out[grad_start:param_start], out[param_start:]):
+                    update_function(param, grad, learning_rate)
+
+        print("Losses: ", losses)
+        # Evaluate the model after training.
+        eval_loss = eval_model(
+            model=et_mod,
+            dataloader=val_dataloader,
+            loss_fn=loss_fn,
+            max_seq_len=max_seq_len,
+            num_eval_steps=10,
+        )
+    print("Eval loss: ", eval_loss)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/examples/llm_pte_finetuning/training_lib.py b/examples/llm_pte_finetuning/training_lib.py
new file mode 100644
index 0000000000..6324d93814
--- /dev/null
+++ b/examples/llm_pte_finetuning/training_lib.py
@@ -0,0 +1,170 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-strict
+
+from functools import partial
+from typing import Any, Dict, Mapping, Optional
+
+import torch
+from executorch.extension.pybindings.aten_lib import ExecuTorchModule  # @manual
+
+from torch.nn import functional as F
+from torch.utils.data import DataLoader, Dataset, DistributedSampler
+from torchtune.data import InstructTemplate
+from torchtune.data._collate import padded_collate_sft
+from tqdm import tqdm
+
+
+class TrainingModule(torch.nn.Module):
+    """
+    The model being trained should return the loss from forward(). This
+    class wraps the actual model and computes the loss for an LLM
+    fine-tuning task. The loss is computed as the cross entropy between
+    the tokens and a shifted version of the labels so we learn to predict
+    the next token.
+    """
+
+    def __init__(
+        self, model: torch.nn.Module, loss: torch.nn.modules.loss._Loss
+    ) -> None:
+        super().__init__()
+        self.model = model
+        self.loss = loss
+
+    def forward(self, input: torch.Tensor, labels: torch.Tensor) -> torch.Tensor:
+        # Output is of the shape (seq_len, vocab_size).
+        logits = self.model(input)
+        logits = logits[..., :-1, :].contiguous()
+        labels = labels[..., 1:].contiguous()
+        logits = logits.transpose(1, 2)
+        return self.loss(logits, labels)
+
+
+class DatabricksDolly(InstructTemplate):
+    """
+    Used for the Dolly dataset from Databricks.
+
+    https://huggingface.co/datasets/databricks/databricks-dolly-15k
+    """
+
+    template = "Instruction:\n{instruction}\n\nContext:\n{input}\n\nResponse: "
+
+    @classmethod
+    def format(
+        cls,
+        sample: Mapping[str, Any],
+        column_map: Optional[Dict[str, str]],
+    ) -> str:
+        assert column_map is not None
+        instruction = sample[column_map["instruction"]]
+        input = sample[column_map["input"]]
+        return cls.template.format(instruction=instruction, input=input)
+
+
+class PythonCodeInstructions(InstructTemplate):
+    """
+    https://huggingface.co/datasets/iamtarun/python_code_instructions_18k_alpaca
+    """
+
+    template = (
+        "{prompt}\n\n"
+        "Instruction:\n{instruction}"
+        "\n\nContext:\n{input}\n\nResponse: "
+    )
+
+    @classmethod
+    def format(
+        cls,
+        sample: Mapping[str, Any],
+        column_map: Optional[Dict[str, str]],
+    ) -> str:
+        assert column_map is not None
+        instruction = sample[column_map["instruction"]]
+        input = sample[column_map["input"]]
+        prompt = sample[column_map["prompt"]]
+        return cls.template.format(instruction=instruction, input=input, prompt=prompt)
+
+
+def update_function(
+    param: torch.Tensor,
+    grad: torch.Tensor,
+    learning_rate: float,
+    weight_decay: float = 1.0,
+) -> None:
+    """SGD update function."""
+    grad = grad + weight_decay * param
+    param.sub_(learning_rate * grad)
+
+
+def eval_model(
+    model: ExecuTorchModule,
+    dataloader: DataLoader,
+    loss_fn: torch.nn.modules.loss._Loss,
+    max_seq_len: int,
+    num_eval_steps: int,
+) -> float:
+    total_loss = 0
+    for i, batch in tqdm(enumerate(dataloader), total=num_eval_steps):
+        if i >= num_eval_steps:
+            break
+        tokens, labels = batch["tokens"], batch["labels"]
+        token_size = tokens.shape[1]
+        labels_size = labels.shape[1]
+
+        tokens, labels = batch["tokens"], batch["labels"]
+        token_size = tokens.shape[1]
+        labels_size = labels.shape[1]
+
+        # Fixed length for now. We need to resize as the input shapes
+        # should be the same passed as examples to the export function.
+        if token_size > max_seq_len:
+            tokens = tokens[:, :max_seq_len]
+        else:
+            tokens = F.pad(tokens, (0, max_seq_len - token_size), value=0)
+
+        if labels_size > max_seq_len:
+            labels = labels[:, :max_seq_len]
+        else:
+            labels = F.pad(labels, (0, max_seq_len - labels_size), value=0)
+
+        out = model.forward((tokens, labels))
+        loss = out[0]
+        total_loss += loss
+    return total_loss / num_eval_steps
+
+
+def get_dataloader(
+    cfg: Any,  # pyre-ignore[2]
+    ds: Dataset[Any],  # pyre-ignore[2]
+    tokenizer: Any,  # pyre-ignore[2]
+    loss_fn: torch.nn.modules.loss._Loss,
+) -> DataLoader:
+    """Given a dataset, tokenizer, and loss function, return a dataloader."""
+    packed = cfg.dataset.get("packed", False)
+
+    sampler = DistributedSampler(
+        ds,
+        num_replicas=1,
+        rank=0,
+        shuffle=cfg.shuffle,
+        seed=0,
+    )
+    dataloader = DataLoader(
+        dataset=ds,
+        sampler=sampler,
+        batch_size=cfg.batch_size,
+        collate_fn=(
+            partial(
+                padded_collate_sft,
+                padding_idx=tokenizer.pad_id,
+                ignore_idx=loss_fn.ignore_index,
+            )
+            if not packed
+            else None
+        ),
+    )
+    return dataloader
diff --git a/examples/mediatek/CMakeLists.txt b/examples/mediatek/CMakeLists.txt
new file mode 100644
index 0000000000..1d411f07ca
--- /dev/null
+++ b/examples/mediatek/CMakeLists.txt
@@ -0,0 +1,179 @@
+# Copyright (c) 2024 MediaTek Inc.
+#
+# Licensed under the BSD License (the "License"); you may not use this file
+# except in compliance with the License. See the license file in the root
+# directory of this source tree for more details.
+
+cmake_minimum_required(VERSION 3.19)
+project(mediatek_example)
+
+message(CMAKE_PREFIX_PATH: ${CMAKE_PREFIX_PATH})
+
+set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
+if(NOT CMAKE_CXX_STANDARD)
+  set(CMAKE_CXX_STANDARD 17)
+endif()
+
+# Source root directory for executorch.
+if(NOT EXECUTORCH_ROOT)
+  set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../..)
+endif()
+
+include(${EXECUTORCH_ROOT}/build/Utils.cmake)
+include(${EXECUTORCH_ROOT}/build/Codegen.cmake)
+
+if(NOT PYTHON_EXECUTABLE)
+  resolve_python_executable()
+endif()
+
+set(_common_compile_options -Wno-deprecated-declarations -fPIC)
+
+# Let files say "include <executorch/path/to/header.h>".
+set(_common_include_directories ${EXECUTORCH_ROOT}/..)
+
+#
+# The `_<target>_srcs` lists are defined by including ${EXECUTORCH_SRCS_FILE}.
+#
+set(EXECUTORCH_SRCS_FILE
+    "${CMAKE_CURRENT_BINARY_DIR}/../../executorch_srcs.cmake"
+)
+extract_sources(${EXECUTORCH_SRCS_FILE})
+include(${EXECUTORCH_SRCS_FILE})
+
+# Find prebuilt libraries. executorch package should contain portable_ops_lib,
+# etdump, bundled_program.
+find_package(executorch CONFIG REQUIRED)
+target_compile_options(executorch INTERFACE -DET_EVENT_TRACER_ENABLED)
+find_package(gflags REQUIRED)
+
+link_directories(${EXECUTORCH_ROOT}/cmake-android-out/lib)
+
+if(${ANDROID})
+  message("Build MTK Android Examples")
+
+  get_filename_component(
+    EXECUTORCH_SOURCE_DIR "${CMAKE_CURRENT_LIST_DIR}/../.." ABSOLUTE
+  )
+  set(_mtk_executor_runner__srcs ${_executor_runner__srcs})
+  list(TRANSFORM _mtk_executor_runner__srcs PREPEND "${EXECUTORCH_SOURCE_DIR}/")
+  list(FILTER _mtk_executor_runner__srcs EXCLUDE REGEX ".*executor_runner.cpp$")
+  list(PREPEND _mtk_executor_runner__srcs
+       ${CMAKE_CURRENT_LIST_DIR}/executor_runner/mtk_executor_runner.cpp
+  )
+
+  add_executable(mtk_executor_runner ${_mtk_executor_runner__srcs})
+
+  target_include_directories(
+    mtk_executor_runner
+    PUBLIC ${_common_include_directories}
+           ${EXECUTORCH_ROOT}/cmake-android-out/third-party/gflags/include
+  )
+
+  target_link_libraries(
+    mtk_executor_runner ${_executor_runner_libs} executorch neuron_backend
+    gflags
+  )
+  target_compile_options(mtk_executor_runner PUBLIC ${_common_compile_options})
+
+  set(_mtk_oss_executor_runner__srcs ${_executor_runner__srcs})
+  list(
+      TRANSFORM
+      _mtk_oss_executor_runner__srcs
+      PREPEND
+      "${EXECUTORCH_SOURCE_DIR}/"
+  )
+  list(
+      FILTER
+      _mtk_oss_executor_runner__srcs
+      EXCLUDE REGEX
+      ".*executor_runner.cpp$"
+  )
+  list(
+      PREPEND
+      _mtk_oss_executor_runner__srcs
+      ${CMAKE_CURRENT_LIST_DIR}/executor_runner/mtk_oss_executor_runner.cpp
+  )
+
+  add_executable(mtk_oss_executor_runner ${_mtk_oss_executor_runner__srcs})
+
+  target_include_directories(mtk_oss_executor_runner
+      PUBLIC
+      ${_common_include_directories}
+      ${EXECUTORCH_ROOT}/cmake-android-out/third-party/gflags/include
+  )
+
+  target_link_libraries(mtk_oss_executor_runner
+      ${_executor_runner_libs}
+      executorch
+      neuron_backend
+      gflags
+  )
+  target_compile_options(mtk_oss_executor_runner
+      PUBLIC
+      ${_common_compile_options}
+  )
+
+  set(_mtk_llama_executor_runner__srcs ${_mtk_executor_runner__srcs})
+  list(FILTER _mtk_llama_executor_runner__srcs EXCLUDE REGEX
+       ".*executor_runner.cpp$"
+  )
+  list(PREPEND _mtk_llama_executor_runner__srcs
+       ${CMAKE_CURRENT_LIST_DIR}/executor_runner/mtk_llama_executor_runner.cpp
+  )
+  # Build ABSL and RE2
+  set(EXTENSIONS_LLM_DIR ${CMAKE_CURRENT_SOURCE_DIR}/../../extension/llm)
+  set(THIRD_PARTY_ABSL_DIR ${EXTENSIONS_LLM_DIR}/third-party/abseil-cpp)
+  set(THIRD_PARTY_RE2_DIR ${EXTENSIONS_LLM_DIR}/third-party/re2)
+  set(ABSL_ENABLE_INSTALL ON)
+  set(ABSL_PROPAGATE_CXX_STD ON)
+  set(_pic_flag ${CMAKE_POSITION_INDEPENDENT_CODE})
+  set(CMAKE_POSITION_INDEPENDENT_CODE ON)
+  add_subdirectory(
+    ${THIRD_PARTY_ABSL_DIR} ${CMAKE_CURRENT_BINARY_DIR}/third-party/abseil
+  )
+  add_subdirectory(
+    ${THIRD_PARTY_RE2_DIR} ${CMAKE_CURRENT_BINARY_DIR}/third-party/re2
+  )
+  set(CMAKE_POSITION_INDEPENDENT_CODE ${_pic_flag})
+
+  # Build tokenizers
+  set(LLAMA2_TOKENIZER_DIR ${EXTENSIONS_LLM_DIR}/tokenizer)
+  add_library(tokenizer STATIC)
+  target_include_directories(
+    tokenizer PUBLIC ${_common_include_directories} ${THIRD_PARTY_ABSL_DIR}
+                     ${THIRD_PARTY_RE2_DIR}
+  )
+  target_link_libraries(tokenizer PRIVATE re2::re2)
+  target_sources(
+    tokenizer
+    PRIVATE
+      ${LLAMA2_TOKENIZER_DIR}/tiktoken.cpp
+      ${LLAMA2_TOKENIZER_DIR}/bpe_tokenizer.cpp
+      ${CMAKE_CURRENT_SOURCE_DIR}/../models/llama2/tokenizer/llama_tiktoken.cpp
+  )
+
+  # Include directory for neuron headers
+  include_directories(
+    BEFORE ${_common_include_directories}
+    ${CMAKE_CURRENT_SOURCE_DIR}/../../backends/mediatek/runtime/include
+  )
+
+  # Build Llama Executor static library
+  add_subdirectory(executor_runner/llama_runner)
+
+  # Build Llama Executor Runner
+  add_executable(mtk_llama_executor_runner ${_mtk_llama_executor_runner__srcs})
+
+  target_link_libraries(
+    mtk_llama_executor_runner
+    ${_executor_runner_libs}
+    ${NEURON_BUFFER_ALLOCATOR_LIB}
+    neuron_backend
+    gflags
+    mtk_llama_executor_lib
+    tokenizer
+  )
+  target_compile_options(
+    mtk_llama_executor_runner PUBLIC ${_common_compile_options}
+  )
+endif()
diff --git a/examples/mediatek/README.md b/examples/mediatek/README.md
new file mode 100644
index 0000000000..9727f2587f
--- /dev/null
+++ b/examples/mediatek/README.md
@@ -0,0 +1,149 @@
+# Directory Structure
+
+Below is the layout of the `examples/mediatek` directory, which includes the necessary files for the example applications:
+
+```plaintext
+examples/mediatek
+├── aot_utils                         # Utils for AoT export
+    ├── llm_utils                     # Utils for LLM models
+        ├── preformatter_templates    # Model specific prompt preformatter templates
+        ├── prompts                   # Calibration Prompts
+        ├── tokenizers_               # Model tokenizer scripts
+    ├── oss_utils                     # Utils for oss models
+├── eval_utils                        # Utils for eval oss models
+├── model_export_scripts              # Model specifc export scripts
+├── models                            # Model definitions
+    ├── llm_models                    # LLM model definitions
+        ├── weights                   # LLM model weights location (Offline) [Ensure that config.json, relevant tokenizer files and .bin or .safetensors weights file(s) are placed here]
+├── executor_runner                   # Example C++ wrapper for the ExecuTorch runtime
+├── pte                               # Generated .pte files location
+├── shell_scripts                     # Shell scripts to quickrun model specific exports
+├── CMakeLists.txt                    # CMake build configuration file for compiling examples
+├── requirements.txt                  # MTK and other required packages
+├── mtk_build_examples.sh             # Script for building MediaTek backend and the examples
+└── README.md                         # Documentation for the examples (this file)
+```
+# Examples
+## Build MediaTek examples
+1. Set up the environment by folllowing the instructions in `backends/mediatek/scripts`
+2. Build the backend and the examples by exedcuting the script:
+```bash
+./mtk_build_examples.sh
+```
+
+# AoT
+## Environment Setup
+1. Setup ET Environment
+- Follow the instructions found in: https://pytorch.org/executorch/stable/getting-started-setup.html
+2. Setup MTK AoT Environment
+```bash
+// Ensure that you are inside executorch/examples/mediatek directory
+pip3 install -r requirements.txt
+
+// Download the two whl files from NeuroPilot Portal
+pip3 install mtk_neuron-8.2.2-py3-none-linux_x86_64.whl
+pip3 install mtk_converter-8.8.0.dev20240723+public.d1467db9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
+```
+
+## AoT Flow
+### llama
+##### Note: Verify that localhost connection is available before running AoT Flow
+1. Exporting Models to `.pte`
+- In the `examples/mediatek directory`, run:
+```bash
+source shell_scripts/export_llama.sh <model_name> <num_chunks> <prompt_num_tokens> <cache_size> <calibration_set_name>
+```
+- Defaults:
+    - `model_name` = llama3
+    - `num_chunks` = 4
+    - `prompt_num_tokens` = 128
+    - `cache_size` = 1024
+    - `calibration_set_name` = None
+- Argument Explanations/Options:
+    - `model_name`: llama2/llama3
+    <sub>**Note: Currently Only Tested on Llama2 7B Chat and Llama3 8B Instruct.**</sub>
+    - `num_chunks`: Number of chunks to split the model into. Each chunk contains the same number of decoder layers. Will result in `num_chunks` number of `.pte` files being generated. Typical values are 1, 2 and 4.
+    - `prompt_num_tokens`: Number of tokens (> 1) consumed each forward pass for the prompt processing stage.
+    - `cache_size`: Cache Size.
+    - `calibration_set_name`: Name of calibration dataset with extension that is found inside the `aot_utils/llm_utils/prompts` directory. Example: `alpaca.txt`. If `"None"`, will use dummy data to calibrate.
+    <sub>**Note: Export script example only tested on `.txt` file.**</sub>
+
+2. `.pte` files will be generated in `examples/mediatek/pte`
+    - Users should expect `num_chunks*2` number of pte files (half of them for prompt and half of them for generation).
+    - Generation `.pte` files have "`1t`" in their names.
+    - Additionally, an embedding bin file will be generated in the weights folder where the `config.json` can be found in. [`examples/mediatek/models/llm_models/weights/<model_name>/embedding_<model_config_folder>_fp32.bin`]
+    - eg. For `llama3-8B-instruct`, embedding bin generated in `examples/mediatek/models/llm_models/weights/llama3-8B-instruct/`
+    - AoT flow will take roughly 2.5 hours (114GB RAM for `num_chunks=4`) to complete (Results will vary by device/hardware configurations)
+
+### oss
+1. Exporting Model to `.pte`
+```bash
+bash shell_scripts/export_oss.sh <model_name>
+```
+- Argument Options:
+    - `model_name`: deeplabv3/edsr/inceptionv3/inceptionv4/mobilenetv2/mobilenetv3/resnet18/resnet50
+
+# Runtime
+## Supported Chips
+
+The examples provided in this repository are tested and supported on the following MediaTek chip:
+
+- MediaTek Dimensity 9300 (D9300)
+
+## Environment Setup
+
+To set up the build environment for the `mtk_executor_runner`:
+
+1. Navigate to the `backends/mediatek/scripts` directory within the repository.
+2. Follow the detailed build steps provided in that location.
+3. Upon successful completion of the build steps, the `mtk_executor_runner` binary will be generated.
+
+## Deploying and Running on the Device
+
+### Pushing Files to the Device
+
+Transfer the `.pte` model files and the `mtk_executor_runner` binary to your Android device using the following commands:
+
+```bash
+adb push mtk_executor_runner <PHONE_PATH, e.g. /data/local/tmp>
+adb push <MODEL_NAME>.pte <PHONE_PATH, e.g. /data/local/tmp>
+```
+
+Make sure to replace `<MODEL_NAME>` with the actual name of your model file. And, replace the `<PHONE_PATH>` with the desired detination on the device.
+
+##### Note: For oss models, please push additional files to your Android device
+```bash
+adb push mtk_oss_executor_runner <PHONE_PATH, e.g. /data/local/tmp>
+adb push input_list.txt <PHONE_PATH, e.g. /data/local/tmp>
+for i in input*bin; do adb push "$i" <PHONE_PATH, e.g. /data/local/tmp>; done;
+```
+
+### Executing the Model
+
+Execute the model on your Android device by running:
+
+```bash
+adb shell "/data/local/tmp/mtk_executor_runner --model_path /data/local/tmp/<MODEL_NAME>.pte --iteration <ITER_TIMES>"
+```
+
+In the command above, replace `<MODEL_NAME>` with the name of your model file and `<ITER_TIMES>` with the desired number of iterations to run the model.
+
+##### Note: For llama models, please use `mtk_llama_executor_runner`. Refer to `examples/mediatek/executor_runner/run_llama3_sample.sh` for reference.
+##### Note: For oss models, please use `mtk_oss_executor_runner`.
+```bash
+adb shell "/data/local/tmp/mtk_oss_executor_runner --model_path /data/local/tmp/<MODEL_NAME>.pte --input_list /data/local/tmp/input_list.txt --output_folder /data/local/tmp/output_<MODEL_NAME>"
+adb pull "/data/local/tmp/output_<MODEL_NAME> ./"
+```
+
+### Check oss result on PC
+```bash
+python3 eval_utils/eval_oss_result.py --eval_type <eval_type> --target_f <golden_folder> --output_f <prediction_folder>
+```
+For example:
+```
+python3 eval_utils/eval_oss_result.py --eval_type piq --target_f edsr --output_f output_edsr
+```
+- Argument Options:
+    - `eval_type`: topk/piq/segmentation
+    - `target_f`: folder contain golden data files. file name is `golden_<data_idx>_0.bin`
+    - `output_f`: folder contain model output data files. file name is `output_<data_idx>_0.bin`
diff --git a/examples/mediatek/aot_utils/llm_utils/loggingprinter.py b/examples/mediatek/aot_utils/llm_utils/loggingprinter.py
new file mode 100644
index 0000000000..63e976f15a
--- /dev/null
+++ b/examples/mediatek/aot_utils/llm_utils/loggingprinter.py
@@ -0,0 +1,32 @@
+import sys
+
+
+class LoggingPrinter:
+    def __init__(self, filename=None):
+        self.passthrough = True
+        self.old_stdout = sys.stdout
+        self.filename = filename
+        if filename is not None:
+            self.passthrough = False
+            self.out_file = open(filename, "w")
+
+    def write(self, text):
+        self.old_stdout.write(text)
+        if not self.passthrough:
+            self.out_file.write(text)
+
+    def close(self):
+        if not self.passthrough:
+            sys.stdout = self.old_stdout
+            self.out_file.close()
+
+    def flush(self):
+        pass
+
+    def __enter__(self):
+        sys.stdout = self
+        return self
+
+    def __exit__(self, type, value, traceback):
+        if not self.passthrough:
+            sys.stdout = self.old_stdout
diff --git a/examples/mediatek/aot_utils/llm_utils/preformatter.py b/examples/mediatek/aot_utils/llm_utils/preformatter.py
new file mode 100644
index 0000000000..1ed3da5fea
--- /dev/null
+++ b/examples/mediatek/aot_utils/llm_utils/preformatter.py
@@ -0,0 +1,42 @@
+import json
+import os
+from typing import Union
+
+
+class Preformatter(object):
+    __slots__ = ("template", "name", "_verbose")
+
+    def __init__(self, template_path: str = "", verbose: bool = False):
+        self._verbose = verbose
+        self.name = os.path.basename(template_path).rsplit(".", 1)[0]
+        if not os.path.exists(template_path):
+            raise ValueError(f"Can't read preformatter template json: {template_path}")
+        with open(template_path) as fp:
+            self.template = json.load(fp)
+        if self._verbose:
+            print(
+                f"Using prompt template {template_path}: {self.template['description']}"
+            )
+
+    def generate_prompt(
+        self,
+        instruction: str,
+        input: Union[None, str] = None,
+        label: Union[None, str] = None,
+    ) -> str:
+        # returns the full prompt from instruction and optional input
+        # if a label (=response, =output) is provided, it's also appended.
+        if input is not None:
+            res = self.template["prompt_input"].format(
+                instruction=instruction, input=input
+            )
+        else:
+            res = self.template["prompt_no_input"].format(instruction=instruction)
+        if label:
+            res = f"{res}{label}"
+        if self._verbose:
+            print(res)
+        return res
+
+    def get_response(self, output: str) -> str:
+        return output.split(self.template["response_split"])[1].strip()
diff --git a/examples/mediatek/aot_utils/llm_utils/preformatter_templates/README.md b/examples/mediatek/aot_utils/llm_utils/preformatter_templates/README.md
new file mode 100644
index 0000000000..ab702b2a0d
--- /dev/null
+++ b/examples/mediatek/aot_utils/llm_utils/preformatter_templates/README.md
@@ -0,0 +1,28 @@
+# Prompt templates
+
+This directory contains template styles for the prompts used to finetune LoRA models.
+
+## Format
+
+A template is described via a JSON file with the following keys:
+
+- `prompt_input`: The template to use when input is not None. Uses `{instruction}` and `{input}` placeholders.
+- `prompt_no_input`: The template to use when input is None. Uses `{instruction}` placeholders.
+- `description`: A short description of the template, with possible use cases.
+- `response_split`: The text to use as separator when cutting real response from the model output.
+
+No `{response}` placeholder was used, since the response is always the last element of the template and is just to be concatenated to the rest.
+
+## Example template
+
+The default template, used unless otherwise specified, is `alpaca.json`
+
+```json
+{
+    "description": "Template used by Alpaca-LoRA.",
+    "prompt_input": "Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.\n\n### Instruction:\n{instruction}\n\n### Input:\n{input}\n\n### Response:\n",
+    "prompt_no_input": "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{instruction}\n\n### Response:\n",
+    "response_split": "### Response:"    
+}
+
+```
diff --git a/examples/mediatek/aot_utils/llm_utils/preformatter_templates/llama2.json b/examples/mediatek/aot_utils/llm_utils/preformatter_templates/llama2.json
new file mode 100644
index 0000000000..8a2f73cb4c
--- /dev/null
+++ b/examples/mediatek/aot_utils/llm_utils/preformatter_templates/llama2.json
@@ -0,0 +1,6 @@
+{
+    "description": "Template used by LLaMa2-chat.",
+    "prompt_input": "[INST] <<SYS>>\nYou are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe.  Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.\n<</SYS>>\n\n{instruction} [/INST]",
+    "prompt_no_input": "[INST] <<SYS>>\nYou are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe.  Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.\n<</SYS>>\n\n{instruction} [/INST]",
+    "response_split": "[/INST]"
+}
diff --git a/examples/mediatek/aot_utils/llm_utils/preformatter_templates/llama2_short.json b/examples/mediatek/aot_utils/llm_utils/preformatter_templates/llama2_short.json
new file mode 100644
index 0000000000..4f514b8181
--- /dev/null
+++ b/examples/mediatek/aot_utils/llm_utils/preformatter_templates/llama2_short.json
@@ -0,0 +1,6 @@
+{
+    "description": "Template used by LLaMa2-chat.",
+    "prompt_input": "[INST] {instruction} [/INST]",
+    "prompt_no_input": "[INST] {instruction} [/INST]",
+    "response_split": "[/INST]"
+}
diff --git a/examples/mediatek/aot_utils/llm_utils/preformatter_templates/llama3.json b/examples/mediatek/aot_utils/llm_utils/preformatter_templates/llama3.json
new file mode 100644
index 0000000000..6f58284031
--- /dev/null
+++ b/examples/mediatek/aot_utils/llm_utils/preformatter_templates/llama3.json
@@ -0,0 +1,6 @@
+{
+    "description": "Template used by LLaMa3.",
+    "prompt_input": "<|begin_of_text|><|start_header_id|>user<|end_header_id|>\n\n{instruction}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
+    "prompt_no_input": "<|begin_of_text|><|start_header_id|>user<|end_header_id|>\n\n{instruction}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
+    "response_split": "<|start_header_id|>assistant<|end_header_id|>\n\n"
+}
diff --git a/examples/mediatek/aot_utils/llm_utils/prompts/alpaca.txt b/examples/mediatek/aot_utils/llm_utils/prompts/alpaca.txt
new file mode 100644
index 0000000000..2cf88e6ca0
--- /dev/null
+++ b/examples/mediatek/aot_utils/llm_utils/prompts/alpaca.txt
@@ -0,0 +1,9 @@
+Tell me about alpacas.
+Tell me about the president of Mexico in 2019.
+Tell me about the king of France in 2019.
+List all Canadian provinces in alphabetical order.
+Write a Python program that prints the first 10 Fibonacci numbers.
+Write a program that prints the numbers from 1 to 100. But for multiples of three print 'Fizz' instead of the number and for the multiples of five print 'Buzz'. For numbers which are multiples of both three and five print 'FizzBuzz'.
+Tell me five words that rhyme with 'shock'.
+Translate the sentence 'I have no mouth but I must scream' into Spanish.
+Count up from 1 to 500.
\ No newline at end of file
diff --git a/examples/mediatek/aot_utils/llm_utils/prompts/llama3.txt b/examples/mediatek/aot_utils/llm_utils/prompts/llama3.txt
new file mode 100644
index 0000000000..2b6c917417
--- /dev/null
+++ b/examples/mediatek/aot_utils/llm_utils/prompts/llama3.txt
@@ -0,0 +1,2 @@
+I am going to Paris, what should I see?
+What is the recipe of mayonnaise?
\ No newline at end of file
diff --git a/examples/mediatek/aot_utils/llm_utils/sanity_checks.py b/examples/mediatek/aot_utils/llm_utils/sanity_checks.py
new file mode 100644
index 0000000000..c748a82a04
--- /dev/null
+++ b/examples/mediatek/aot_utils/llm_utils/sanity_checks.py
@@ -0,0 +1,211 @@
+import os
+import sys
+
+if os.getcwd() not in sys.path:
+    sys.path.append(os.getcwd())
+import warnings
+
+from models.llm_models.configuration_base import BaseConfig
+
+
+# flake8: noqa: E721
+
+
+def warning_on_one_line(message, category, filename, lineno, file=None, line=None):
+    return f"{category.__name__}: {message}\n"
+
+
+warnings.formatwarning = warning_on_one_line
+
+
+def check_all_chunks_same_num_layer(num_blocks_per_chunk):
+    for i in range(1, len(num_blocks_per_chunk)):
+        if num_blocks_per_chunk[i] != num_blocks_per_chunk[0]:
+            print("num_blocks_per_chunk:", num_blocks_per_chunk)
+            raise RuntimeError(
+                "This version of the sdk doesn't support different number of "
+                "decoder layers per chunk, as shape fixer stage will fail. If you require this support,"
+                " please contact Mediatek sdk owner."
+            )
+
+
+def check_between_exclusive(num, min_, max_, message=None):
+    if not (type(num) == type(min_) == type(max_)):
+        raise TypeError(
+            f"Got different types for num ({type(num)}), min ({type(min_)}), and max ({type(max_)})"
+        )
+    if not (min_ < num < max_):
+        if message is None:
+            raise ValueError(
+                f"Expected number between {min_} and {max_} exclusive, but got: {num}"
+            )
+        else:
+            raise ValueError(
+                f"{message} must be between {min_} and {max_} exclusive, but got: {num}"
+            )
+
+
+def check_between_inclusive(num, min_, max_, message=None):
+    if not (type(num) == type(min_) == type(max_)):
+        raise TypeError(
+            f"Got different types for num ({type(num)}), min ({type(min_)}), and max ({type(max_)})"
+        )
+    if not (min_ <= num <= max_):
+        if message is None:
+            raise ValueError(
+                f"Expected number between {min_} and {max_} inclusive, but got: {num}"
+            )
+        else:
+            raise ValueError(
+                f"{message} must be between {min_} and {max_} inclusive, but got: {num}"
+            )
+
+
+def check_exist(file_or_folder, message=None):
+    if not os.path.exists(file_or_folder):
+        if message is None:
+            raise FileNotFoundError(f"{file_or_folder} does not exist.")
+        else:
+            raise FileNotFoundError(f"{message} does not exist: {file_or_folder}")
+
+
+def check_ext(file, ext, message=None):
+    if not file.endswith(ext):
+        if message is None:
+            raise RuntimeError(f"Expected {ext} file, but got: {file}")
+        else:
+            raise RuntimeError(f"Expected {ext} file for {message}, but got: {file}")
+
+
+def check_isdir(folder, message=None):
+    if not os.path.isdir(folder):
+        if message is None:
+            raise FileNotFoundError(f"{folder} is not a directory.")
+        else:
+            raise RuntimeError(f"Expected directory for {message}, but got: {folder}")
+
+
+def check_old_arg(path):
+    if os.path.isdir(path):
+        raise RuntimeError(
+            "This package's main usage has changed starting from v0.8.0. Please use"
+            " model's config.json as main argument instead of weight directory."
+        )
+
+
+def check_shapes(shapes):
+    if not isinstance(shapes, list):
+        raise TypeError(f"Expected shapes to be a list, but got {type(shapes)} instead")
+    for shape in shapes:
+        if shape.count("t") != 1 or shape.count("c") != 1:
+            raise RuntimeError(
+                f"Shape {shape} is in the wrong format. Every shape needs to be of"
+                "the format: xtyc where x and y are integers. (e.g. 32t512c)"
+            )
+        try:
+            _ = int(shape.split("t")[0])
+        except ValueError:
+            raise RuntimeError(
+                f"Shape {shape} is in the wrong format. Every shape needs to be of"
+                "the format: xtyc where x and y are integers. (e.g. 32t512c)"
+            )
+
+        try:
+            _ = int(shape.split("t")[1].split("c")[0])
+        except ValueError:
+            raise RuntimeError(
+                f"Shape {shape} is in the wrong format. Every shape needs to be of"
+                "the format: xtyc where x and y are integers. (e.g. 32t512c)"
+            )
+
+
+def check_supported_model(config):
+    SUPPORTED_MODELS = [
+        "llama",
+        "bloom",
+        "baichuan",
+        "qwen",
+        "qwen1.5",
+        "qwen2",
+        "milm",
+    ]
+    if not isinstance(config, BaseConfig):
+        raise RuntimeError(
+            f"Unsupported config class: {type(config)}. "
+            "config needs to be subclassed from BaseConfig"
+        )
+
+    if config.model_type not in SUPPORTED_MODELS:
+        raise RuntimeError(
+            f"Unsupported model: {config.model_type}. Supported models: "
+            f"{SUPPORTED_MODELS}"
+        )
+
+
+def check_supported_tokenizer(config):
+    SUPPORTED_TOKENIZERS = [
+        "default",
+        "bloom",
+        "baichuan",
+        "gpt2",
+        "gpt2_fast",
+        "qwen",
+        "qwen2",
+        "qwen2_fast",
+        "llama",
+        "pretrained_fast",
+    ]
+    if not isinstance(config, BaseConfig):
+        raise RuntimeError(
+            f"Unsupported config class: {type(config)}. "
+            "config needs to be subclassed from BaseConfig"
+        )
+
+    if config.tokenizer not in SUPPORTED_TOKENIZERS:
+        raise RuntimeError(
+            f"Unsupported tokenizer: {config.tokenizer}. Supported tokenizers: "
+            f"{SUPPORTED_TOKENIZERS}"
+        )
+
+
+def check_tokenizer_exist(folder):
+    model = config = False
+    for f in os.listdir(folder):
+        if f == "tokenizer.model" or f == "tokenizer.json" or f.endswith(".tiktoken"):
+            model = True
+        if f == "tokenizer_config.json":
+            config = True
+    if not model:
+        raise FileNotFoundError(
+            f"Tokenizer not found in {folder}. Expected tokenizer.model, "
+            "tokenizer.json, or tokenizer.tiktoken"
+        )
+    if not config:
+        raise FileNotFoundError(
+            f"Tokenizer config not found in {folder}. Expected " "tokenizer_config.json"
+        )
+
+
+def check_weights_exist(weight_dir):
+    if (
+        len(
+            [
+                f
+                for f in os.listdir(weight_dir)
+                if (
+                    (f.startswith("pytorch_model") and f.endswith(".bin"))
+                    or (f.startswith("model") and f.endswith(".safetensors"))
+                )
+            ]
+        )
+        == 0
+    ):
+        raise FileNotFoundError(
+            f"No weight files found in {weight_dir}! Weight files should be either .bin or .safetensors file types."
+        )
+    safetensors_l = [f for f in os.listdir(weight_dir) if f.endswith(".safetensors")]
+    bin_l = [f for f in os.listdir(weight_dir) if f.endswith(".bin")]
+    if len(safetensors_l) & len(bin_l):
+        raise RuntimeError(
+            "Weights should only be in either .bin or .safetensors format, not both."
+        )
diff --git a/examples/mediatek/aot_utils/llm_utils/tokenizers_/tokenization_llama.py b/examples/mediatek/aot_utils/llm_utils/tokenizers_/tokenization_llama.py
new file mode 100644
index 0000000000..9b5ef2c0c8
--- /dev/null
+++ b/examples/mediatek/aot_utils/llm_utils/tokenizers_/tokenization_llama.py
@@ -0,0 +1,529 @@
+# coding=utf-8
+# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
+#
+# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
+# and OPT implementations in this library. It has been modified from its
+# original forms to accommodate minor architectural differences compared
+# to GPT-NeoX and OPT used by the Meta AI team that trained the model.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Tokenization classes for LLaMA."""
+import importlib.util
+import os
+from shutil import copyfile
+from typing import Any, Dict, List, Optional, Tuple
+
+import sentencepiece as spm
+
+from transformers.tokenization_utils import AddedToken, PreTrainedTokenizer
+from transformers.utils import logging
+
+
+def is_protobuf_available():
+    if importlib.util.find_spec("google") is None:
+        return False
+    return importlib.util.find_spec("google.protobuf") is not None
+
+
+def import_protobuf(error_message=""):
+    PROTOBUF_IMPORT_ERROR = """
+        {0} requires the protobuf library but it was not found in your environment. Checkout the instructions on the
+        installation page of its repo: https://github.com/protocolbuffers/protobuf/tree/master/python#installation and follow the ones
+        that match your environment. Please note that you may need to restart your runtime after installation.
+        """
+    if is_protobuf_available():
+        import google.protobuf
+
+        if int(google.protobuf.__version__.split(".")[0]) < 4:
+            from transformers.utils import sentencepiece_model_pb2
+        else:
+            from transformers.utils import (
+                sentencepiece_model_pb2_new as sentencepiece_model_pb2,
+            )
+        return sentencepiece_model_pb2
+    else:
+        raise ImportError(PROTOBUF_IMPORT_ERROR.format(error_message))
+
+
+logger = logging.get_logger(__name__)
+
+VOCAB_FILES_NAMES = {"vocab_file": "tokenizer.model"}
+
+PRETRAINED_VOCAB_FILES_MAP = {
+    "vocab_file": {
+        "hf-internal-testing/llama-tokenizer": "https://huggingface.co/hf-internal-testing/llama-tokenizer/resolve/main/tokenizer.model",
+    },
+    "tokenizer_file": {
+        "hf-internal-testing/llama-tokenizer": "https://huggingface.co/hf-internal-testing/llama-tokenizer/resolve/main/tokenizer_config.json",
+    },
+}
+PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {
+    "hf-internal-testing/llama-tokenizer": 2048,
+}
+SPIECE_UNDERLINE = "▁"
+
+B_INST, E_INST = "[INST]", "[/INST]"
+B_SYS, E_SYS = "<<SYS>>\n", "\n<</SYS>>\n\n"
+
+# fmt: off
+DEFAULT_SYSTEM_PROMPT = """You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your \
+answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure\
+ that your responses are socially unbiased and positive in nature.
+
+If a question does not make any sense, or is not factually coherent, explain why instead of answering something not \
+correct. If you don't know the answer to a question, please don't share false information."""
+# fmt: on
+
+
+class LlamaTokenizer(PreTrainedTokenizer):
+    """
+    Construct a Llama tokenizer. Based on byte-level Byte-Pair-Encoding. The default padding token is unset as there is
+    no padding token in the original model.
+
+    Args:
+        vocab_file (`str`):
+            Path to the vocabulary file.
+        unk_token (`str` or `tokenizers.AddedToken`, *optional*, defaults to `"<unk>"`):
+            The unknown token. A token that is not in the vocabulary cannot be converted to an ID and is set to be this
+            token instead.
+        bos_token (`str` or `tokenizers.AddedToken`, *optional*, defaults to `"<s>"`):
+            The beginning of sequence token that was used during pretraining. Can be used a sequence classifier token.
+        eos_token (`str` or `tokenizers.AddedToken`, *optional*, defaults to `"</s>"`):
+            The end of sequence token.
+        pad_token (`str` or `tokenizers.AddedToken`, *optional*):
+            A special token used to make arrays of tokens the same size for batching purpose. Will then be ignored by
+            attention mechanisms or loss computation.
+        sp_model_kwargs (`Dict[str, Any]`, `Optional`, *optional*):
+            Will be passed to the `SentencePieceProcessor.__init__()` method. The [Python wrapper for
+            SentencePiece](https://github.com/google/sentencepiece/tree/master/python) can be used, among other things,
+            to set:
+
+            - `enable_sampling`: Enable subword regularization.
+            - `nbest_size`: Sampling parameters for unigram. Invalid for BPE-Dropout.
+
+              - `nbest_size = {0,1}`: No sampling is performed.
+              - `nbest_size > 1`: samples from the nbest_size results.
+              - `nbest_size < 0`: assuming that nbest_size is infinite and samples from the all hypothesis (lattice)
+                using forward-filtering-and-backward-sampling algorithm.
+
+            - `alpha`: Smoothing parameter for unigram sampling, and dropout probability of merge operations for
+              BPE-dropout.
+
+        add_bos_token (`bool`, *optional*, defaults to `True`):
+            Whether or not to add an `bos_token` at the start of sequences.
+        add_eos_token (`bool`, *optional*, defaults to `False`):
+            Whether or not to add an `eos_token` at the end of sequences.
+        clean_up_tokenization_spaces (`bool`, *optional*, defaults to `False`):
+            Whether or not to cleanup spaces after decoding, cleanup consists in removing potential artifacts like
+            extra spaces.
+        use_default_system_prompt (`bool`, *optional*, defaults to `False`):
+            Whether or not the default system prompt for Llama should be used.
+        spaces_between_special_tokens (`bool`, *optional*, defaults to `False`):
+            Whether or not to add spaces between special tokens.
+        legacy (`bool`, *optional*):
+            Whether or not the `legacy` behavior of the tokenizer should be used. Legacy is before the merge of #24622
+            and #25224 which includes fixes to properly handle tokens that appear after special tokens. A simple
+            example:
+
+            - `legacy=True`:
+            ```python
+            >>> from transformers import T5Tokenizer
+
+            >>> tokenizer = T5Tokenizer.from_pretrained("t5-base", legacy=True)
+            >>> tokenizer.encode("Hello <extra_id_0>.")
+            [8774, 32099, 3, 5, 1]
+            ```
+            - `legacy=False`:
+            ```python
+            >>> from transformers import T5Tokenizer
+
+            >>> tokenizer = T5Tokenizer.from_pretrained("t5-base", legacy=False)
+            >>> tokenizer.encode("Hello <extra_id_0>.")  # the extra space `[3]` is no longer here
+            [8774, 32099, 5, 1]
+            ```
+            Checkout the [pull request](https://github.com/huggingface/transformers/pull/24565) for more details.
+
+    """
+
+    vocab_files_names = VOCAB_FILES_NAMES
+    pretrained_vocab_files_map = PRETRAINED_VOCAB_FILES_MAP
+    max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
+    model_input_names = ["input_ids", "attention_mask"]
+
+    def __init__(
+        self,
+        vocab_file,
+        unk_token="<unk>",
+        bos_token="<s>",
+        eos_token="</s>",
+        pad_token=None,
+        sp_model_kwargs: Optional[Dict[str, Any]] = None,
+        add_bos_token=True,
+        add_eos_token=False,
+        clean_up_tokenization_spaces=False,
+        use_default_system_prompt=False,
+        spaces_between_special_tokens=False,
+        legacy=None,
+        **kwargs,
+    ):
+        self.sp_model_kwargs = {} if sp_model_kwargs is None else sp_model_kwargs
+        bos_token = (
+            AddedToken(bos_token, normalized=False, special=True)
+            if isinstance(bos_token, str)
+            else bos_token
+        )
+        eos_token = (
+            AddedToken(eos_token, normalized=False, special=True)
+            if isinstance(eos_token, str)
+            else eos_token
+        )
+        unk_token = (
+            AddedToken(unk_token, normalized=False, special=True)
+            if isinstance(unk_token, str)
+            else unk_token
+        )
+        pad_token = (
+            AddedToken(pad_token, normalized=False, special=True)
+            if isinstance(pad_token, str)
+            else pad_token
+        )
+
+        if legacy is None:
+            legacy = True
+
+        self.legacy = legacy
+        self.vocab_file = vocab_file
+        self.add_bos_token = add_bos_token
+        self.add_eos_token = add_eos_token
+        self.use_default_system_prompt = use_default_system_prompt
+        self.sp_model = self.get_spm_processor(kwargs.pop("from_slow", False))
+
+        super().__init__(
+            bos_token=bos_token,
+            eos_token=eos_token,
+            unk_token=unk_token,
+            pad_token=pad_token,
+            add_bos_token=add_bos_token,
+            add_eos_token=add_eos_token,
+            sp_model_kwargs=self.sp_model_kwargs,
+            clean_up_tokenization_spaces=clean_up_tokenization_spaces,
+            use_default_system_prompt=use_default_system_prompt,
+            spaces_between_special_tokens=spaces_between_special_tokens,
+            legacy=legacy,
+            **kwargs,
+        )
+
+    @property
+    def unk_token_length(self):
+        return len(self.sp_model.encode(str(self.unk_token)))
+
+    # Copied from transformers.models.t5.tokenization_t5.T5Tokenizer.get_spm_processor
+    def get_spm_processor(self, from_slow=False):
+        tokenizer = spm.SentencePieceProcessor(**self.sp_model_kwargs)
+        if self.legacy or from_slow:  # no dependency on protobuf
+            tokenizer.Load(self.vocab_file)
+            return tokenizer
+
+        with open(self.vocab_file, "rb") as f:
+            sp_model = f.read()
+            model_pb2 = import_protobuf(
+                f"The new behaviour of {self.__class__.__name__} (with `self.legacy = False`)"
+            )
+            model = model_pb2.ModelProto.FromString(sp_model)
+            normalizer_spec = model_pb2.NormalizerSpec()
+            normalizer_spec.add_dummy_prefix = False
+            model.normalizer_spec.MergeFrom(normalizer_spec)
+            sp_model = model.SerializeToString()
+            tokenizer.LoadFromSerializedProto(sp_model)
+        return tokenizer
+
+    def __getstate__(self):
+        state = self.__dict__.copy()
+        state["sp_model"] = None
+        state["sp_model_proto"] = self.sp_model.serialized_model_proto()
+        return state
+
+    def __setstate__(self, d):
+        self.__dict__ = d
+        self.sp_model = spm.SentencePieceProcessor(**self.sp_model_kwargs)
+        self.sp_model.LoadFromSerializedProto(self.sp_model_proto)
+
+    @property
+    def vocab_size(self):
+        """Returns vocab size"""
+        return self.sp_model.get_piece_size()
+
+    def get_vocab(self):
+        """Returns vocab as a dict"""
+        vocab = {self.convert_ids_to_tokens(i): i for i in range(self.vocab_size)}
+        vocab.update(self.added_tokens_encoder)
+        return vocab
+
+    # Copied from transformers.models.t5.tokenization_t5.T5Tokenizer.tokenize
+    def tokenize(self, text, add_special_tokens=False, **kwargs) -> List[str]:
+        """
+        Converts a string to a list of tokens. If `self.legacy` is set to `False`, a prefix token is added unless the
+        first token is special.
+        """
+        if self.legacy or len(text) == 0:
+            return super().tokenize(text, **kwargs)
+
+        tokens = super().tokenize(
+            SPIECE_UNDERLINE + text.replace(SPIECE_UNDERLINE, " "), **kwargs
+        )
+
+        if (
+            len(tokens) > 1
+            and tokens[0] == SPIECE_UNDERLINE
+            and tokens[1] in self.all_special_tokens
+        ):
+            tokens = tokens[1:]
+        return tokens
+
+    # Copied from transformers.models.t5.tokenization_t5.T5Tokenizer._tokenize
+    def _tokenize(self, text, **kwargs):
+        """
+        Returns a tokenized string.
+
+        We de-activated the `add_dummy_prefix` option, thus the sentencepiece internals will always strip any
+        SPIECE_UNDERLINE. For example: `self.sp_model.encode(f"{SPIECE_UNDERLINE}Hey", out_type = str)` will give
+        `['H', 'e', 'y']` instead of `['▁He', 'y']`. Thus we always encode `f"{unk_token}text"` and strip the
+        `unk_token`. Here is an example with `unk_token = "<unk>"` and `unk_token_length = 4`.
+        `self.tokenizer.sp_model.encode("<unk> Hey", out_type = str)[4:]`.
+        """
+        tokens = self.sp_model.encode(text, out_type=str)
+        if self.legacy or not text.startswith((SPIECE_UNDERLINE, " ")):
+            return tokens
+
+        # 1. Encode string + prefix ex: "<unk> Hey"
+        tokens = self.sp_model.encode(self.unk_token + text, out_type=str)
+        # 2. Remove self.unk_token from ['<','unk','>', '▁Hey']
+        return (
+            tokens[self.unk_token_length :]
+            if len(tokens) >= self.unk_token_length
+            else tokens
+        )
+
+    def _convert_token_to_id(self, token):
+        """Converts a token (str) in an id using the vocab."""
+        return self.sp_model.piece_to_id(token)
+
+    def _convert_id_to_token(self, index):
+        """Converts an index (integer) in a token (str) using the vocab."""
+        token = self.sp_model.IdToPiece(index)
+        return token
+
+    def convert_tokens_to_string(self, tokens):
+        """Converts a sequence of tokens (string) in a single string."""
+        # since we manually add the prefix space, we have to remove it when decoding
+        if tokens[0].startswith(SPIECE_UNDERLINE):
+            tokens[0] = tokens[0][1:]
+
+        current_sub_tokens = []
+        out_string = ""
+        prev_is_special = False
+        for i, token in enumerate(tokens):
+            # make sure that special tokens are not decoded using sentencepiece model
+            if token in self.all_special_tokens:
+                if not prev_is_special and i != 0 and self.legacy:
+                    out_string += " "
+                out_string += self.sp_model.decode(current_sub_tokens) + token
+                prev_is_special = True
+                current_sub_tokens = []
+            else:
+                current_sub_tokens.append(token)
+                prev_is_special = False
+        out_string += self.sp_model.decode(current_sub_tokens)
+        return out_string
+
+    def save_vocabulary(
+        self, save_directory, filename_prefix: Optional[str] = None
+    ) -> Tuple[str]:
+        """
+        Save the vocabulary and special tokens file to a directory.
+
+        Args:
+            save_directory (`str`):
+                The directory in which to save the vocabulary.
+
+        Returns:
+            `Tuple(str)`: Paths to the files saved.
+        """
+        if not os.path.isdir(save_directory):
+            logger.error(f"Vocabulary path ({save_directory}) should be a directory")
+            return
+        out_vocab_file = os.path.join(
+            save_directory,
+            (filename_prefix + "-" if filename_prefix else "")
+            + VOCAB_FILES_NAMES["vocab_file"],
+        )
+
+        if os.path.abspath(self.vocab_file) != os.path.abspath(
+            out_vocab_file
+        ) and os.path.isfile(self.vocab_file):
+            copyfile(self.vocab_file, out_vocab_file)
+        elif not os.path.isfile(self.vocab_file):
+            with open(out_vocab_file, "wb") as fi:
+                content_spiece_model = self.sp_model.serialized_model_proto()
+                fi.write(content_spiece_model)
+
+        return (out_vocab_file,)
+
+    def build_inputs_with_special_tokens(self, token_ids_0, token_ids_1=None):
+        bos_token_id = [self.bos_token_id] if self.add_bos_token else []
+        eos_token_id = [self.eos_token_id] if self.add_eos_token else []
+
+        output = bos_token_id + token_ids_0 + eos_token_id
+
+        if token_ids_1 is not None:
+            output = output + bos_token_id + token_ids_1 + eos_token_id
+
+        return output
+
+    def get_special_tokens_mask(
+        self,
+        token_ids_0: List[int],
+        token_ids_1: Optional[List[int]] = None,
+        already_has_special_tokens: bool = False,
+    ) -> List[int]:
+        """
+        Retrieve sequence ids from a token list that has no special tokens added. This method is called when adding
+        special tokens using the tokenizer `prepare_for_model` method.
+
+        Args:
+            token_ids_0 (`List[int]`):
+                List of IDs.
+            token_ids_1 (`List[int]`, *optional*):
+                Optional second list of IDs for sequence pairs.
+            already_has_special_tokens (`bool`, *optional*, defaults to `False`):
+                Whether or not the token list is already formatted with special tokens for the model.
+
+        Returns:
+            `List[int]`: A list of integers in the range [0, 1]: 1 for a special token, 0 for a sequence token.
+        """
+        if already_has_special_tokens:
+            return super().get_special_tokens_mask(
+                token_ids_0=token_ids_0,
+                token_ids_1=token_ids_1,
+                already_has_special_tokens=True,
+            )
+
+        bos_token_id = [1] if self.add_bos_token else []
+        eos_token_id = [1] if self.add_eos_token else []
+
+        if token_ids_1 is None:
+            return bos_token_id + ([0] * len(token_ids_0)) + eos_token_id
+        return (
+            bos_token_id
+            + ([0] * len(token_ids_0))
+            + eos_token_id
+            + bos_token_id
+            + ([0] * len(token_ids_1))
+            + eos_token_id
+        )
+
+    def create_token_type_ids_from_sequences(
+        self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
+    ) -> List[int]:
+        """
+        Creates a mask from the two sequences passed to be used in a sequence-pair classification task. An ALBERT
+        sequence pair mask has the following format:
+
+        ```
+        0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1
+        | first sequence    | second sequence |
+        ```
+
+        if token_ids_1 is None, only returns the first portion of the mask (0s).
+
+        Args:
+            token_ids_0 (`List[int]`):
+                List of ids.
+            token_ids_1 (`List[int]`, *optional*):
+                Optional second list of IDs for sequence pairs.
+
+        Returns:
+            `List[int]`: List of [token type IDs](../glossary#token-type-ids) according to the given sequence(s).
+        """
+        bos_token_id = [self.bos_token_id] if self.add_bos_token else []
+        eos_token_id = [self.eos_token_id] if self.add_eos_token else []
+
+        output = [0] * len(bos_token_id + token_ids_0 + eos_token_id)
+
+        if token_ids_1 is not None:
+            output += [1] * len(bos_token_id + token_ids_1 + eos_token_id)
+
+        return output
+
+    @property
+    def default_chat_template(self):
+        """
+        LLaMA uses [INST] and [/INST] to indicate user messages, and <<SYS>> and <</SYS>> to indicate system messages.
+        Assistant messages do not have special tokens, because LLaMA chat models are generally trained with strict
+        user/assistant/user/assistant message ordering, and so assistant messages can be identified from the ordering
+        rather than needing special tokens. The system message is partly 'embedded' in the first user message, which
+        results in an unusual token ordering when it is present. This template should definitely be changed if you wish
+        to fine-tune a model with more flexible role ordering!
+
+        The output should look something like:
+
+        <bos>[INST] B_SYS SystemPrompt E_SYS Prompt [/INST] Answer <eos><bos>[INST] Prompt [/INST] Answer <eos>
+        <bos>[INST] Prompt [/INST]
+
+        The reference for this chat template is [this code
+        snippet](https://github.com/facebookresearch/llama/blob/556949fdfb72da27c2f4a40b7f0e4cf0b8153a28/llama/generation.py#L320-L362)
+        in the original repository.
+        """
+        logger.warning_once(
+            "\nNo chat template is defined for this tokenizer - using the default template "
+            f"for the {self.__class__.__name__} class. If the default is not appropriate for "
+            "your model, please set `tokenizer.chat_template` to an appropriate template. "
+            "See https://huggingface.co/docs/transformers/main/chat_templating for more information.\n"
+        )
+        template = (
+            "{% if messages[0]['role'] == 'system' %}"
+            "{% set loop_messages = messages[1:] %}"  # Extract system message if it's present
+            "{% set system_message = messages[0]['content'] %}"
+            "{% elif USE_DEFAULT_PROMPT == true and not '<<SYS>>' in messages[0]['content'] %}"
+            "{% set loop_messages = messages %}"  # Or use the default system message if the flag is set
+            "{% set system_message = 'DEFAULT_SYSTEM_MESSAGE' %}"
+            "{% else %}"
+            "{% set loop_messages = messages %}"
+            "{% set system_message = false %}"
+            "{% endif %}"
+            "{% for message in loop_messages %}"  # Loop over all non-system messages
+            "{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}"
+            "{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}"
+            "{% endif %}"
+            "{% if loop.index0 == 0 and system_message != false %}"  # Embed system message in first message
+            "{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}"
+            "{% else %}"
+            "{% set content = message['content'] %}"
+            "{% endif %}"
+            "{% if message['role'] == 'user' %}"  # After all of that, handle messages/roles in a fairly normal way
+            "{{ bos_token + '[INST] ' + content.strip() + ' [/INST]' }}"
+            "{% elif message['role'] == 'system' %}"
+            "{{ '<<SYS>>\\n' + content.strip() + '\\n<</SYS>>\\n\\n' }}"
+            "{% elif message['role'] == 'assistant' %}"
+            "{{ ' '  + content.strip() + ' ' + eos_token }}"
+            "{% endif %}"
+            "{% endfor %}"
+        )
+        template = template.replace(
+            "USE_DEFAULT_PROMPT", "true" if self.use_default_system_prompt else "false"
+        )
+        default_message = DEFAULT_SYSTEM_PROMPT.replace("\n", "\\n").replace("'", "\\'")
+        template = template.replace("DEFAULT_SYSTEM_MESSAGE", default_message)
+
+        return template
diff --git a/examples/mediatek/aot_utils/llm_utils/tokenizers_/tokenization_utils_fast.py b/examples/mediatek/aot_utils/llm_utils/tokenizers_/tokenization_utils_fast.py
new file mode 100644
index 0000000000..b61466606a
--- /dev/null
+++ b/examples/mediatek/aot_utils/llm_utils/tokenizers_/tokenization_utils_fast.py
@@ -0,0 +1,925 @@
+# coding=utf-8
+# Copyright 2020 The HuggingFace Inc. team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""
+ Tokenization classes for fast tokenizers (provided by HuggingFace's tokenizers library). For slow (python) tokenizers
+ see tokenization_utils.py
+"""
+import copy
+import json
+import os
+from collections import defaultdict
+from typing import Any, Dict, List, Optional, Tuple, Union
+
+import tokenizers.pre_tokenizers as pre_tokenizers_fast
+from tokenizers import Encoding as EncodingFast, Tokenizer as TokenizerFast
+from tokenizers.decoders import Decoder as DecoderFast
+from tokenizers.trainers import (
+    BpeTrainer,
+    UnigramTrainer,
+    WordLevelTrainer,
+    WordPieceTrainer,
+)
+
+from transformers.convert_slow_tokenizer import convert_slow_tokenizer
+from transformers.tokenization_utils import PreTrainedTokenizer
+from transformers.tokenization_utils_base import (
+    AddedToken,
+    BatchEncoding,
+    INIT_TOKENIZER_DOCSTRING,
+    PreTokenizedInput,
+    PreTokenizedInputPair,
+    PreTrainedTokenizerBase,
+    SpecialTokensMixin,
+    TextInput,
+    TextInputPair,
+    TruncationStrategy,
+)
+from transformers.utils import add_end_docstrings, logging, PaddingStrategy
+
+
+# flake8: noqa: C901
+
+
+logger = logging.get_logger(__name__)
+
+# Fast tokenizers (provided by HuggingFace tokenizer's library) can be saved in a single file
+TOKENIZER_FILE = "tokenizer.json"
+SPECIAL_TOKENS_MAP_FILE = "special_tokens_map.json"
+TOKENIZER_CONFIG_FILE = "tokenizer_config.json"
+
+# Slow tokenizers have an additional added tokens files
+ADDED_TOKENS_FILE = "added_tokens.json"
+
+INIT_TOKENIZER_DOCSTRING += """
+        tokenizer_object ([`tokenizers.Tokenizer`]):
+            A [`tokenizers.Tokenizer`] object from 🤗 tokenizers to instantiate from. See [Using tokenizers from 🤗
+            tokenizers](../fast_tokenizers) for more information.
+        tokenizer_file ([`str`]):
+            A path to a local JSON file representing a previously serialized [`tokenizers.Tokenizer`] object from 🤗
+            tokenizers.
+"""
+
+MODEL_TO_TRAINER_MAPPING = {
+    "BPE": BpeTrainer,
+    "Unigram": UnigramTrainer,
+    "WordLevel": WordLevelTrainer,
+    "WordPiece": WordPieceTrainer,
+}
+
+VOCAB_FILES_NAMES = {"tokenizer_file": TOKENIZER_FILE}
+
+
+@add_end_docstrings(INIT_TOKENIZER_DOCSTRING)
+class PreTrainedTokenizerFast(PreTrainedTokenizerBase):
+    """
+    Base class for all fast tokenizers (wrapping HuggingFace tokenizers library).
+
+    Inherits from [`~tokenization_utils_base.PreTrainedTokenizerBase`].
+
+    Handles all the shared methods for tokenization and special tokens, as well as methods for
+    downloading/caching/loading pretrained tokenizers, as well as adding tokens to the vocabulary.
+
+    This class also contains the added tokens in a unified way on top of all tokenizers so we don't have to handle the
+    specific vocabulary augmentation methods of the various underlying dictionary structures (BPE, sentencepiece...).
+    """
+
+    vocab_files_names = VOCAB_FILES_NAMES
+    slow_tokenizer_class: PreTrainedTokenizer = None
+
+    def __init__(self, *args, **kwargs):
+        tokenizer_object = kwargs.pop("tokenizer_object", None)
+        slow_tokenizer = kwargs.pop("__slow_tokenizer", None)
+        fast_tokenizer_file = kwargs.pop("tokenizer_file", None)
+        from_slow = kwargs.pop("from_slow", False)
+        added_tokens_decoder = kwargs.pop("added_tokens_decoder", {})
+
+        if from_slow and slow_tokenizer is None and self.slow_tokenizer_class is None:
+            raise ValueError(
+                "Cannot instantiate this tokenizer from a slow version. If it's based on sentencepiece, make sure you "
+                "have sentencepiece installed."
+            )
+
+        if tokenizer_object is not None:
+            fast_tokenizer = copy.deepcopy(tokenizer_object)
+        elif fast_tokenizer_file is not None and not from_slow:
+            # We have a serialization from tokenizers which let us directly build the backend
+            fast_tokenizer = TokenizerFast.from_file(fast_tokenizer_file)
+        elif slow_tokenizer is not None:
+            # We need to convert a slow tokenizer to build the backend
+            fast_tokenizer = convert_slow_tokenizer(slow_tokenizer)
+        elif self.slow_tokenizer_class is not None:
+            # We need to create and convert a slow tokenizer to build the backend
+            slow_tokenizer = self.slow_tokenizer_class(*args, **kwargs)
+            fast_tokenizer = convert_slow_tokenizer(slow_tokenizer)
+        else:
+            raise ValueError(
+                "Couldn't instantiate the backend tokenizer from one of: \n"
+                "(1) a `tokenizers` library serialization file, \n"
+                "(2) a slow tokenizer instance to convert or \n"
+                "(3) an equivalent slow tokenizer class to instantiate and convert. \n"
+                "You need to have sentencepiece installed to convert a slow tokenizer to a fast one."
+            )
+
+        self._tokenizer = fast_tokenizer
+
+        if slow_tokenizer is not None:
+            kwargs.update(slow_tokenizer.init_kwargs)
+
+        self._decode_use_source_tokenizer = False
+
+        _truncation = self._tokenizer.truncation
+
+        if _truncation is not None:
+            self._tokenizer.enable_truncation(**_truncation)
+            kwargs.setdefault("max_length", _truncation["max_length"])
+            kwargs.setdefault("truncation_side", _truncation["direction"])
+            kwargs.setdefault("stride", _truncation["stride"])
+            kwargs.setdefault("truncation_strategy", _truncation["strategy"])
+        else:
+            self._tokenizer.no_truncation()
+
+        _padding = self._tokenizer.padding
+        if _padding is not None:
+            self._tokenizer.enable_padding(**_padding)
+            kwargs.setdefault("pad_token", _padding["pad_token"])
+            kwargs.setdefault("pad_token_type_id", _padding["pad_type_id"])
+            kwargs.setdefault("padding_side", _padding["direction"])
+            kwargs.setdefault("max_length", _padding["length"])
+            kwargs.setdefault("pad_to_multiple_of", _padding["pad_to_multiple_of"])
+
+        # We call this after having initialized the backend tokenizer because we update it.
+        super().__init__(**kwargs)
+
+        # The following logic will be replace with a single add_tokens once a fix is pushed to tokenizers
+        # allows converting a slow -> fast, non-legacy: if the `tokenizer.json` does not have all the added tokens
+        # uses the information stored in `added_tokens_decoder`.
+        # this is costly for fast tokenizers as we re-compute the regex again. But not all tokens are added tokens
+        tokens_to_add = [
+            token
+            for index, token in sorted(added_tokens_decoder.items(), key=lambda x: x[0])
+            if token not in self.added_tokens_decoder
+        ]
+        encoder = list(self.added_tokens_encoder.keys()) + [
+            str(token) for token in tokens_to_add
+        ]
+        # if some of the special tokens are strings, we check if we don't already have a token
+        tokens_to_add += [
+            token
+            for token in self.all_special_tokens_extended
+            if token not in encoder and token not in tokens_to_add
+        ]
+        if len(tokens_to_add) > 0:
+            # super hack: if a token.special is set, tokenizer ignores it for now so FIXME @ArthurZ
+            # Accumulate added tokens into batches of special/non-special tokens, because calling add_tokens() for
+            # individual tokens would repeatedly rebuild a trie, which can be slow.
+            is_last_special = None
+            tokens = []
+            special_tokens = self.all_special_tokens
+            for token in tokens_to_add:
+                is_special = (
+                    (token.special or str(token) in special_tokens)
+                    if isinstance(token, AddedToken)
+                    else str(token) in special_tokens
+                )
+                if is_last_special is None or is_last_special == is_special:
+                    tokens.append(token)
+                else:
+                    self._add_tokens(tokens, special_tokens=is_last_special)
+                    tokens = [token]
+                is_last_special = is_special
+            if tokens:
+                self._add_tokens(tokens, special_tokens=is_last_special)
+
+    @property
+    def is_fast(self) -> bool:
+        return True
+
+    @property
+    def can_save_slow_tokenizer(self) -> bool:
+        """
+        `bool`: Whether or not the slow tokenizer can be saved. Usually for sentencepiece based slow tokenizer, this
+        can only be `True` if the original `"sentencepiece.model"` was not deleted.
+        """
+        return True
+
+    @property
+    def vocab_size(self) -> int:
+        """
+        `int`: Size of the base vocabulary (without the added tokens).
+        """
+        return self._tokenizer.get_vocab_size(with_added_tokens=False)
+
+    def get_vocab(self) -> Dict[str, int]:
+        return self._tokenizer.get_vocab(with_added_tokens=True)
+
+    @property
+    def vocab(self) -> Dict[str, int]:
+        return self.get_vocab()
+
+    @property
+    def added_tokens_encoder(self) -> Dict[str, int]:
+        """
+        Returns the sorted mapping from string to index. The added tokens encoder is cached for performance
+        optimisation in `self._added_tokens_encoder` for the slow tokenizers.
+        """
+        return {
+            k.content: v
+            for v, k in sorted(
+                self.added_tokens_decoder.items(), key=lambda item: item[0]
+            )
+        }
+
+    @property
+    def added_tokens_decoder(self) -> Dict[int, AddedToken]:
+        """
+        Returns the added tokens in the vocabulary as a dictionary of index to AddedToken.
+
+        Returns:
+            `Dict[str, int]`: The added tokens.
+        """
+        return self._tokenizer.get_added_tokens_decoder()
+
+    def get_added_vocab(self) -> Dict[str, int]:
+        """
+        Returns the added tokens in the vocabulary as a dictionary of token to index.
+
+        Returns:
+            `Dict[str, int]`: The added tokens.
+        """
+        return {
+            k.content: v
+            for v, k in sorted(
+                self.added_tokens_decoder.items(), key=lambda item: item[0]
+            )
+        }
+
+    def __len__(self) -> int:
+        """
+        Size of the full vocabulary with the added tokens.
+        """
+        return self._tokenizer.get_vocab_size(with_added_tokens=True)
+
+    @property
+    def backend_tokenizer(self) -> TokenizerFast:
+        """
+        `tokenizers.implementations.BaseTokenizer`: The Rust tokenizer used as a backend.
+        """
+        return self._tokenizer
+
+    @property
+    def decoder(self) -> DecoderFast:
+        """
+        `tokenizers.decoders.Decoder`: The Rust decoder for this tokenizer.
+        """
+        return self._tokenizer.decoder
+
+    def _convert_encoding(
+        self,
+        encoding: EncodingFast,
+        return_token_type_ids: Optional[bool] = None,
+        return_attention_mask: Optional[bool] = None,
+        return_overflowing_tokens: bool = False,
+        return_special_tokens_mask: bool = False,
+        return_offsets_mapping: bool = False,
+        return_length: bool = False,
+        verbose: bool = True,
+    ) -> Tuple[Dict[str, Any], List[EncodingFast]]:
+        """
+        Convert the encoding representation (from low-level HuggingFace tokenizer output) to a python Dict and a list
+        of encodings, take care of building a batch from overflowing tokens.
+
+        Overflowing tokens are converted to additional examples (like batches) so the output values of the dict are
+        lists (overflows) of lists (tokens).
+
+        Output shape: (overflows, sequence length)
+        """
+        if return_token_type_ids is None:
+            return_token_type_ids = "token_type_ids" in self.model_input_names
+        if return_attention_mask is None:
+            return_attention_mask = "attention_mask" in self.model_input_names
+
+        if return_overflowing_tokens and encoding.overflowing is not None:
+            encodings = [encoding] + encoding.overflowing
+        else:
+            encodings = [encoding]
+
+        encoding_dict = defaultdict(list)
+        for e in encodings:
+            encoding_dict["input_ids"].append(e.ids)
+
+            if return_token_type_ids:
+                encoding_dict["token_type_ids"].append(e.type_ids)
+            if return_attention_mask:
+                encoding_dict["attention_mask"].append(e.attention_mask)
+            if return_special_tokens_mask:
+                encoding_dict["special_tokens_mask"].append(e.special_tokens_mask)
+            if return_offsets_mapping:
+                encoding_dict["offset_mapping"].append(e.offsets)
+            if return_length:
+                encoding_dict["length"].append(len(e.ids))
+
+        return encoding_dict, encodings
+
+    def convert_tokens_to_ids(
+        self, tokens: Union[str, List[str]]
+    ) -> Union[int, List[int]]:
+        """
+        Converts a token string (or a sequence of tokens) in a single integer id (or a sequence of ids), using the
+        vocabulary.
+
+        Args:
+            tokens (`str` or `List[str]`): One or several token(s) to convert to token id(s).
+
+        Returns:
+            `int` or `List[int]`: The token id or list of token ids.
+        """
+        if tokens is None:
+            return None
+
+        if isinstance(tokens, str):
+            return self._convert_token_to_id_with_added_voc(tokens)
+
+        return [self._convert_token_to_id_with_added_voc(token) for token in tokens]
+
+    def _convert_token_to_id_with_added_voc(self, token: str) -> int:
+        index = self._tokenizer.token_to_id(token)
+        if index is None:
+            return self.unk_token_id
+        return index
+
+    def _convert_id_to_token(self, index: int) -> Optional[str]:
+        return self._tokenizer.id_to_token(int(index))
+
+    def _add_tokens(
+        self, new_tokens: List[Union[str, AddedToken]], special_tokens=False
+    ) -> int:
+        if special_tokens:
+            return self._tokenizer.add_special_tokens(new_tokens)
+
+        return self._tokenizer.add_tokens(new_tokens)
+
+    def num_special_tokens_to_add(self, pair: bool = False) -> int:
+        """
+        Returns the number of added tokens when encoding a sequence with special tokens.
+
+        <Tip>
+
+        This encodes a dummy input and checks the number of added tokens, and is therefore not efficient. Do not put
+        this inside your training loop.
+
+        </Tip>
+
+        Args:
+            pair (`bool`, *optional*, defaults to `False`):
+                Whether the number of added tokens should be computed in the case of a sequence pair or a single
+                sequence.
+
+        Returns:
+            `int`: Number of special tokens added to sequences.
+        """
+        return self._tokenizer.num_special_tokens_to_add(pair)
+
+    def convert_ids_to_tokens(
+        self, ids: Union[int, List[int]], skip_special_tokens: bool = False
+    ) -> Union[str, List[str]]:
+        """
+        Converts a single index or a sequence of indices in a token or a sequence of tokens, using the vocabulary and
+        added tokens.
+
+        Args:
+            ids (`int` or `List[int]`):
+                The token id (or token ids) to convert to tokens.
+            skip_special_tokens (`bool`, *optional*, defaults to `False`):
+                Whether or not to remove special tokens in the decoding.
+
+        Returns:
+            `str` or `List[str]`: The decoded token(s).
+        """
+        if isinstance(ids, int):
+            return self._tokenizer.id_to_token(ids)
+        tokens = []
+        for index in ids:
+            index = int(index)
+            if skip_special_tokens and index in self.all_special_ids:
+                continue
+            tokens.append(self._tokenizer.id_to_token(index))
+        return tokens
+
+    def tokenize(
+        self,
+        text: str,
+        pair: Optional[str] = None,
+        add_special_tokens: bool = False,
+        **kwargs,
+    ) -> List[str]:
+        return self.encode_plus(
+            text=text, text_pair=pair, add_special_tokens=add_special_tokens, **kwargs
+        ).tokens()
+
+    def set_truncation_and_padding(
+        self,
+        padding_strategy: PaddingStrategy,
+        truncation_strategy: TruncationStrategy,
+        max_length: Optional[int],
+        stride: int,
+        pad_to_multiple_of: Optional[int],
+    ):
+        """
+        Define the truncation and the padding strategies for fast tokenizers (provided by HuggingFace tokenizers
+        library) and restore the tokenizer settings afterwards.
+
+        The provided tokenizer has no padding / truncation strategy before the managed section. If your tokenizer set a
+        padding / truncation strategy before, then it will be reset to no padding / truncation when exiting the managed
+        section.
+
+        Args:
+            padding_strategy ([`~utils.PaddingStrategy`]):
+                The kind of padding that will be applied to the input
+            truncation_strategy ([`~tokenization_utils_base.TruncationStrategy`]):
+                The kind of truncation that will be applied to the input
+            max_length (`int`):
+                The maximum size of a sequence.
+            stride (`int`):
+                The stride to use when handling overflow.
+            pad_to_multiple_of (`int`, *optional*):
+                If set will pad the sequence to a multiple of the provided value. This is especially useful to enable
+                the use of Tensor Cores on NVIDIA hardware with compute capability `>= 7.5` (Volta).
+        """
+        _truncation = self._tokenizer.truncation
+        _padding = self._tokenizer.padding
+        # Set truncation and padding on the backend tokenizer
+        if truncation_strategy == TruncationStrategy.DO_NOT_TRUNCATE:
+            if _truncation is not None:
+                self._tokenizer.no_truncation()
+        else:
+            target = {
+                "max_length": max_length,
+                "stride": stride,
+                "strategy": truncation_strategy.value,
+                "direction": self.truncation_side,
+            }
+
+            # _truncation might contain more keys that the target `transformers`
+            # supports. Use only the target keys to trigger `enable_truncation`.
+            # This should enable this code to works on various `tokenizers`
+            # targets.
+            if _truncation is None:
+                current = None
+            else:
+                current = {k: _truncation.get(k, None) for k in target}
+
+            if current != target:
+                self._tokenizer.enable_truncation(**target)
+
+        if padding_strategy == PaddingStrategy.DO_NOT_PAD:
+            if _padding is not None:
+                self._tokenizer.no_padding()
+        else:
+            length = (
+                max_length if padding_strategy == PaddingStrategy.MAX_LENGTH else None
+            )
+            target = {
+                "length": length,
+                "direction": self.padding_side,
+                "pad_id": self.pad_token_id,
+                "pad_token": self.pad_token,
+                "pad_type_id": self.pad_token_type_id,
+                "pad_to_multiple_of": pad_to_multiple_of,
+            }
+            if _padding != target:
+                self._tokenizer.enable_padding(**target)
+
+    def _batch_encode_plus(
+        self,
+        batch_text_or_text_pairs: Union[
+            List[TextInput],
+            List[TextInputPair],
+            List[PreTokenizedInput],
+            List[PreTokenizedInputPair],
+        ],
+        add_special_tokens: bool = True,
+        padding_strategy: PaddingStrategy = PaddingStrategy.DO_NOT_PAD,
+        truncation_strategy: TruncationStrategy = TruncationStrategy.DO_NOT_TRUNCATE,
+        max_length: Optional[int] = None,
+        stride: int = 0,
+        is_split_into_words: bool = False,
+        pad_to_multiple_of: Optional[int] = None,
+        return_tensors: Optional[str] = None,
+        return_token_type_ids: Optional[bool] = None,
+        return_attention_mask: Optional[bool] = None,
+        return_overflowing_tokens: bool = False,
+        return_special_tokens_mask: bool = False,
+        return_offsets_mapping: bool = False,
+        return_length: bool = False,
+        verbose: bool = True,
+    ) -> BatchEncoding:
+        if not isinstance(batch_text_or_text_pairs, (tuple, list)):
+            raise TypeError(
+                f"batch_text_or_text_pairs has to be a list or a tuple (got {type(batch_text_or_text_pairs)})"
+            )
+        # Set the truncation and padding strategy and restore the initial configuration
+        self.set_truncation_and_padding(
+            padding_strategy=padding_strategy,
+            truncation_strategy=truncation_strategy,
+            max_length=max_length,
+            stride=stride,
+            pad_to_multiple_of=pad_to_multiple_of,
+        )
+
+        encodings = self._tokenizer.encode_batch(
+            batch_text_or_text_pairs,
+            add_special_tokens=add_special_tokens,
+            is_pretokenized=is_split_into_words,
+        )
+
+        # Convert encoding to dict
+        # `Tokens` has type: Tuple[
+        #                       List[Dict[str, List[List[int]]]] or List[Dict[str, 2D-Tensor]],
+        #                       List[EncodingFast]
+        #                    ]
+        # with nested dimensions corresponding to batch, overflows, sequence length
+        tokens_and_encodings = [
+            self._convert_encoding(
+                encoding=encoding,
+                return_token_type_ids=return_token_type_ids,
+                return_attention_mask=return_attention_mask,
+                return_overflowing_tokens=return_overflowing_tokens,
+                return_special_tokens_mask=return_special_tokens_mask,
+                return_offsets_mapping=return_offsets_mapping,
+                return_length=return_length,
+                verbose=verbose,
+            )
+            for encoding in encodings
+        ]
+
+        # Convert the output to have dict[list] from list[dict] and remove the additional overflows dimension
+        # From (variable) shape (batch, overflows, sequence length) to ~ (batch * overflows, sequence length)
+        # (we say ~ because the number of overflow varies with the example in the batch)
+        #
+        # To match each overflowing sample with the original sample in the batch
+        # we add an overflow_to_sample_mapping array (see below)
+        sanitized_tokens = {}
+        for key in tokens_and_encodings[0][0].keys():
+            stack = [e for item, _ in tokens_and_encodings for e in item[key]]
+            sanitized_tokens[key] = stack
+        sanitized_encodings = [e for _, item in tokens_and_encodings for e in item]
+
+        # If returning overflowing tokens, we need to return a mapping
+        # from the batch idx to the original sample
+        if return_overflowing_tokens:
+            overflow_to_sample_mapping = []
+            for i, (toks, _) in enumerate(tokens_and_encodings):
+                overflow_to_sample_mapping += [i] * len(toks["input_ids"])
+            sanitized_tokens["overflow_to_sample_mapping"] = overflow_to_sample_mapping
+
+        for input_ids in sanitized_tokens["input_ids"]:
+            self._eventual_warn_about_too_long_sequence(input_ids, max_length, verbose)
+        return BatchEncoding(
+            sanitized_tokens, sanitized_encodings, tensor_type=return_tensors
+        )
+
+    def _encode_plus(
+        self,
+        text: Union[TextInput, PreTokenizedInput],
+        text_pair: Optional[Union[TextInput, PreTokenizedInput]] = None,
+        add_special_tokens: bool = True,
+        padding_strategy: PaddingStrategy = PaddingStrategy.DO_NOT_PAD,
+        truncation_strategy: TruncationStrategy = TruncationStrategy.DO_NOT_TRUNCATE,
+        max_length: Optional[int] = None,
+        stride: int = 0,
+        is_split_into_words: bool = False,
+        pad_to_multiple_of: Optional[int] = None,
+        return_tensors: Optional[bool] = None,
+        return_token_type_ids: Optional[bool] = None,
+        return_attention_mask: Optional[bool] = None,
+        return_overflowing_tokens: bool = False,
+        return_special_tokens_mask: bool = False,
+        return_offsets_mapping: bool = False,
+        return_length: bool = False,
+        verbose: bool = True,
+        **kwargs,
+    ) -> BatchEncoding:
+        batched_input = [(text, text_pair)] if text_pair else [text]
+        batched_output = self._batch_encode_plus(
+            batched_input,
+            is_split_into_words=is_split_into_words,
+            add_special_tokens=add_special_tokens,
+            padding_strategy=padding_strategy,
+            truncation_strategy=truncation_strategy,
+            max_length=max_length,
+            stride=stride,
+            pad_to_multiple_of=pad_to_multiple_of,
+            return_tensors=return_tensors,
+            return_token_type_ids=return_token_type_ids,
+            return_attention_mask=return_attention_mask,
+            return_overflowing_tokens=return_overflowing_tokens,
+            return_special_tokens_mask=return_special_tokens_mask,
+            return_offsets_mapping=return_offsets_mapping,
+            return_length=return_length,
+            verbose=verbose,
+            **kwargs,
+        )
+
+        # Return tensor is None, then we can remove the leading batch axis
+        # Overflowing tokens are returned as a batch of output so we keep them in this case
+        if return_tensors is None and not return_overflowing_tokens:
+            batched_output = BatchEncoding(
+                {
+                    key: (
+                        value[0]
+                        if len(value) > 0 and isinstance(value[0], list)
+                        else value
+                    )
+                    for key, value in batched_output.items()
+                },
+                batched_output.encodings,
+            )
+
+        self._eventual_warn_about_too_long_sequence(
+            batched_output["input_ids"], max_length, verbose
+        )
+
+        return batched_output
+
+    def convert_tokens_to_string(self, tokens: List[str]) -> str:
+        return self.backend_tokenizer.decoder.decode(tokens)
+
+    def _decode(
+        self,
+        token_ids: Union[int, List[int]],
+        skip_special_tokens: bool = False,
+        clean_up_tokenization_spaces: bool = None,
+        **kwargs,
+    ) -> str:
+        self._decode_use_source_tokenizer = kwargs.pop("use_source_tokenizer", False)
+
+        if isinstance(token_ids, int):
+            token_ids = [token_ids]
+        text = self._tokenizer.decode(
+            token_ids, skip_special_tokens=skip_special_tokens
+        )
+
+        clean_up_tokenization_spaces = (
+            clean_up_tokenization_spaces
+            if clean_up_tokenization_spaces is not None
+            else self.clean_up_tokenization_spaces
+        )
+        if clean_up_tokenization_spaces:
+            clean_text = self.clean_up_tokenization(text)
+            return clean_text
+        else:
+            return text
+
+    def _save_pretrained(
+        self,
+        save_directory: Union[str, os.PathLike],
+        file_names: Tuple[str],
+        legacy_format: Optional[bool] = None,
+        filename_prefix: Optional[str] = None,
+    ) -> Tuple[str]:
+        """
+        Save a tokenizer using the slow-tokenizer/legacy format: vocabulary + added tokens as well as in a unique JSON
+        file containing {config + vocab + added-tokens}.
+        """
+        save_directory = str(save_directory)
+
+        if self.slow_tokenizer_class is None and legacy_format is True:
+            raise ValueError(
+                "Your tokenizer does not have a legacy version defined and therefore cannot register this version. You"
+                " might consider leaving the legacy_format at `None` or setting it to `False`."
+            )
+
+        save_slow = (
+            (legacy_format is None or legacy_format is True)
+            and self.slow_tokenizer_class is not None
+            and self.can_save_slow_tokenizer
+        )
+        save_fast = legacy_format is None or legacy_format is False
+
+        if save_slow:
+            added_tokens_file = os.path.join(
+                save_directory,
+                (filename_prefix + "-" if filename_prefix else "") + ADDED_TOKENS_FILE,
+            )
+            # make sure to be foward compatible
+            added_vocab = {
+                tok: index
+                for tok, index in self.added_tokens_encoder.items()
+                if index >= self.vocab_size
+            }
+            if added_vocab:
+                with open(added_tokens_file, "w", encoding="utf-8") as f:
+                    out_str = (
+                        json.dumps(
+                            added_vocab, indent=2, sort_keys=True, ensure_ascii=False
+                        )
+                        + "\n"
+                    )
+                    f.write(out_str)
+
+            vocab_files = self.save_vocabulary(
+                save_directory, filename_prefix=filename_prefix
+            )
+            file_names = file_names + vocab_files + (added_tokens_file,)
+
+        if save_fast:
+            tokenizer_file = os.path.join(
+                save_directory,
+                (filename_prefix + "-" if filename_prefix else "") + TOKENIZER_FILE,
+            )
+            self.backend_tokenizer.save(tokenizer_file)
+            file_names = file_names + (tokenizer_file,)
+
+        return file_names
+
+    def train_new_from_iterator(
+        self,
+        text_iterator,
+        vocab_size,
+        length=None,
+        new_special_tokens=None,
+        special_tokens_map=None,
+        **kwargs,
+    ):
+        """
+        Trains a tokenizer on a new corpus with the same defaults (in terms of special tokens or tokenization pipeline)
+        as the current one.
+
+        Args:
+            text_iterator (generator of `List[str]`):
+                The training corpus. Should be a generator of batches of texts, for instance a list of lists of texts
+                if you have everything in memory.
+            vocab_size (`int`):
+                The size of the vocabulary you want for your tokenizer.
+            length (`int`, *optional*):
+                The total number of sequences in the iterator. This is used to provide meaningful progress tracking
+            new_special_tokens (list of `str` or `AddedToken`, *optional*):
+                A list of new special tokens to add to the tokenizer you are training.
+            special_tokens_map (`Dict[str, str]`, *optional*):
+                If you want to rename some of the special tokens this tokenizer uses, pass along a mapping old special
+                token name to new special token name in this argument.
+            kwargs (`Dict[str, Any]`, *optional*):
+                Additional keyword arguments passed along to the trainer from the 🤗 Tokenizers library.
+
+        Returns:
+            [`PreTrainedTokenizerFast`]: A new tokenizer of the same type as the original one, trained on
+            `text_iterator`.
+
+        """
+        tokenizer_json = json.loads(self._tokenizer.to_str())
+        # Remove added tokens for now (uses IDs of tokens)
+        added_tokens = tokenizer_json.pop("added_tokens")
+        # Remove post processor for now (uses IDs of tokens)
+        post_processor = tokenizer_json.pop("post_processor")
+
+        unk_token = None
+        # Remove vocab
+        if tokenizer_json["model"]["type"] == "BPE":
+            tokenizer_json["model"]["vocab"] = {}
+            tokenizer_json["model"]["merges"] = []
+        elif tokenizer_json["model"]["type"] == "Unigram":
+            if tokenizer_json["model"]["unk_id"] is not None:
+                unk_id = tokenizer_json["model"]["unk_id"]
+                unk_token = tokenizer_json["model"]["vocab"][unk_id][0]
+                if special_tokens_map is not None and unk_token in special_tokens_map:
+                    unk_token = special_tokens_map[unk_token]
+                tokenizer_json["model"]["unk_id"] = 0
+                tokenizer_json["model"]["vocab"] = [[unk_token, 0.0]]
+        elif tokenizer_json["model"]["type"] in ["WordLevel", "WordPiece"]:
+            tokenizer_json["model"]["vocab"] = {}
+        else:
+            raise ValueError(
+                f"This method does not support this type of tokenizer (found {tokenizer_json['model']['type']}) "
+                "only BPE, Unigram, WordLevel and WordPiece."
+            )
+
+        if (
+            special_tokens_map is not None
+            and "unk_token" in tokenizer_json["model"]
+            and tokenizer_json["model"]["unk_token"] in special_tokens_map
+        ):
+            tokenizer_json["model"]["unk_token"] = special_tokens_map[
+                tokenizer_json["model"]["unk_token"]
+            ]
+
+        tokenizer = TokenizerFast.from_str(json.dumps(tokenizer_json))
+
+        # Get the special tokens from the current tokenizer if none are specified.
+        special_tokens = []
+        for added_token in added_tokens:
+            special = added_token.pop("special", None)
+            _ = added_token.pop("id", None)
+            if tokenizer_json["model"]["type"] != "Unigram" and not special:
+                continue
+            if (
+                special_tokens_map is not None
+                and added_token["content"] in special_tokens_map
+            ):
+                added_token["content"] = special_tokens_map[added_token["content"]]
+            special_tokens.append(AddedToken(**added_token))
+
+        if new_special_tokens is not None:
+            special_tokens.extend(new_special_tokens)
+
+        # Trainer needs to know the end of word / continuing subword thingies in BPE
+        if (
+            tokenizer_json["model"]["type"] == "BPE"
+            and "continuing_subword_prefix" not in kwargs
+            and tokenizer_json["model"]["continuing_subword_prefix"] is not None
+        ):
+            kwargs["continuing_subword_prefix"] = tokenizer_json["model"][
+                "continuing_subword_prefix"
+            ]
+        if (
+            tokenizer_json["model"]["type"] == "BPE"
+            and "end_of_word_suffix" not in kwargs
+            and tokenizer_json["model"]["end_of_word_suffix"] is not None
+        ):
+            kwargs["end_of_word_suffix"] = tokenizer_json["model"]["end_of_word_suffix"]
+        if tokenizer_json["model"]["type"] == "Unigram" and unk_token is not None:
+            kwargs["unk_token"] = unk_token
+        if (
+            tokenizer_json["pre_tokenizer"] is not None
+            and tokenizer_json["pre_tokenizer"]["type"] == "ByteLevel"
+        ):
+            kwargs["initial_alphabet"] = pre_tokenizers_fast.ByteLevel.alphabet()
+
+        trainer_class = MODEL_TO_TRAINER_MAPPING[tokenizer_json["model"]["type"]]
+        trainer = trainer_class(
+            vocab_size=vocab_size, special_tokens=special_tokens, **kwargs
+        )
+        tokenizer.train_from_iterator(text_iterator, length=length, trainer=trainer)
+
+        if post_processor is not None:
+            trained_tokenizer_json = json.loads(tokenizer.to_str())
+            # Almost done, we just have to adjust the token IDs in the post processor
+            if "special_tokens" in post_processor:
+                for key in post_processor["special_tokens"]:
+                    tokens = post_processor["special_tokens"][key]["tokens"]
+                    if special_tokens_map is not None:
+                        tokens = [
+                            special_tokens_map.get(token, token) for token in tokens
+                        ]
+                    post_processor["special_tokens"][key]["tokens"] = tokens
+                    post_processor["special_tokens"][key]["ids"] = [
+                        tokenizer.token_to_id(token) for token in tokens
+                    ]
+
+            for special_token in ["cls", "sep"]:
+                if special_token in post_processor:
+                    token, _ = post_processor[special_token]
+                    if special_tokens_map is not None and token in special_tokens_map:
+                        token = special_tokens_map[token]
+                    token_id = tokenizer.token_to_id(token)
+                    post_processor[special_token] = [token, token_id]
+
+            trained_tokenizer_json["post_processor"] = post_processor
+            tokenizer = TokenizerFast.from_str(json.dumps(trained_tokenizer_json))
+
+        kwargs = self.init_kwargs.copy()
+        # Map pad/cls/mask token at the Transformers level
+        special_tokens_list = SpecialTokensMixin.SPECIAL_TOKENS_ATTRIBUTES.copy()
+        special_tokens_list.remove("additional_special_tokens")
+        for token in special_tokens_list:
+            # Get the private one to avoid unnecessary warnings.
+            if getattr(self, f"_{token}") is not None:
+                special_token = getattr(self, token)
+                if (
+                    special_tokens_map is not None
+                    and special_token in special_tokens_map
+                ):
+                    special_token = special_tokens_map[special_token]
+
+                special_token_full = getattr(self, f"_{token}")
+                if isinstance(special_token_full, AddedToken):
+                    # Create an added token with the same parameters except the content
+                    kwargs[token] = AddedToken(
+                        special_token,
+                        single_word=special_token_full.single_word,
+                        lstrip=special_token_full.lstrip,
+                        rstrip=special_token_full.rstrip,
+                        normalized=special_token_full.normalized,
+                        special=True,
+                    )
+                else:
+                    kwargs[token] = special_token
+
+        additional_special_tokens = self.additional_special_tokens
+        if new_special_tokens is not None:
+            additional_special_tokens.extend(new_special_tokens)
+        if len(additional_special_tokens) > 0:
+            kwargs["additional_special_tokens"] = additional_special_tokens
+
+        return self.__class__(tokenizer_object=tokenizer, **kwargs)
diff --git a/examples/mediatek/aot_utils/llm_utils/utils.py b/examples/mediatek/aot_utils/llm_utils/utils.py
new file mode 100644
index 0000000000..a7c242559a
--- /dev/null
+++ b/examples/mediatek/aot_utils/llm_utils/utils.py
@@ -0,0 +1,494 @@
+import os
+import sys
+
+if os.getcwd() not in sys.path:
+    sys.path.append(os.getcwd())
+import json
+import math
+
+import numpy as np
+import torch
+from safetensors.torch import load_file
+
+
+# flake8: noqa: C901
+
+
+def _get_embedding_weight(weight_dir, state_dict):
+    try_last = False
+    checkpoint_filename = None
+    if state_dict is None:
+        checkpoint_files = [
+            os.path.join(weight_dir, f)
+            for f in os.listdir(weight_dir)
+            if (
+                (f.startswith("pytorch_model") and f.endswith(".bin"))
+                or (f.startswith("model") and f.endswith(".safetensors"))
+            )
+        ]
+
+        for f in checkpoint_files:
+            if "pytorch_model.bin" in f:
+                checkpoint_filename = f
+                break
+            elif "pytorch_model-00001-of" in f:
+                checkpoint_filename = f
+                break
+            elif "model.safetensors" in f:
+                checkpoint_filename = f
+                break
+            elif "model-00001-of" in f:
+                checkpoint_filename = f
+                break
+        if checkpoint_filename is None:
+            raise FileNotFoundError(
+                f"Unable to find the first checkpoint file in {weight_dir}! "
+                "This folder must have either the file pytorch_model.bin or "
+                "pytorch_model-00001-of-XXXXX.bin or "
+                "model.safetensors or "
+                "model-00001-of-XXXXX.safetensors."
+            )
+
+        if checkpoint_filename.endswith(".bin"):
+            state_dict = torch.load(
+                checkpoint_filename, map_location="cpu", weights_only=True
+            )
+        elif checkpoint_filename.endswith(".safetensors"):
+            state_dict = load_file(checkpoint_filename, device="cpu")
+        try_last = True
+
+    state_dict_keys = list(state_dict.keys())
+
+    expected_embedding_subkey = "embed_tokens.weight"
+
+    embed_key = None
+    for key in state_dict_keys:
+        if expected_embedding_subkey in key:
+            embed_key = key
+            break
+    if embed_key is None:
+        if try_last:
+            if (
+                checkpoint_filename == "pytorch_model.bin"
+                or checkpoint_filename == "model.safetensors"
+            ):
+                print("state_dict keys:", state_dict_keys)
+                raise KeyError(
+                    f"Cannot find embedding layer weight inside {checkpoint_filename}. "
+                    f"Please ensure embedding layer weight key contains {expected_embedding_subkey}"
+                )
+            else:
+                checkpoint_filename = checkpoint_filename.replace(
+                    "00001", checkpoint_filename.split("-")[-1].split(".")[0]
+                )
+                if checkpoint_filename.endswith(".bin"):
+                    state_dict = torch.load(
+                        checkpoint_filename, map_location="cpu", weights_only=True
+                    )
+                elif checkpoint_filename.endswith(".safetensors"):
+                    state_dict = load_file(checkpoint_filename, device="cpu")
+                state_dict_keys = list(state_dict.keys())
+                for key in state_dict_keys:
+                    if expected_embedding_subkey in key:
+                        embed_key = key
+                        break
+                if embed_key is None:
+                    print("state_dict keys:", state_dict_keys)
+                    raise KeyError(
+                        f"Cannot find embedding layer weight inside {checkpoint_filename}. "
+                        f"Please ensure embedding layer weight key contains {expected_embedding_subkey}"
+                    )
+        else:
+            print("state_dict keys:", state_dict_keys)
+            raise KeyError(
+                f"Cannot find embedding layer weight inside state dict. "
+                f"Please ensure embedding layer weight key contains {expected_embedding_subkey}"
+            )
+    return state_dict[embed_key]
+
+
+def chunk_and_tokenize_prompt(
+    prompt,
+    tokenizer,
+    sub_responses,
+    max_len,
+    response_handler,
+    preformatter=None,
+    wikitext=False,
+):
+    if max_len == 0:
+        # No chunking
+        if preformatter is not None:
+            prompt_formatted = preformatter.generate_prompt(prompt, None)
+        else:
+            prompt_formatted = prompt
+
+        if tokenizer is None:
+            with response_handler:
+                print("Prompt tokens:")
+                print(prompt)
+            prompt_tokens = prompt_formatted
+        else:
+            with response_handler:
+                if preformatter is not None:
+                    print(f"Prompt (with {preformatter.name} preformatter):")
+                    print(prompt)
+                else:
+                    print("Prompt:")
+                    print(prompt)
+            prompt_tokens = tokenizer(prompt_formatted, return_tensors="np")[
+                "input_ids"
+            ].astype(np.int32)
+        return prompt_tokens, None
+    else:
+        if wikitext:
+            # Wikitext chunking, tokenized already
+            if prompt.shape[1] < max_len:
+                return prompt, None
+            else:
+                return prompt[:, :max_len], prompt[:, max_len:]
+
+        else:
+            # Oppo streaming prompt chunking
+            sentences = prompt.split("\n")
+            chunked = False
+            curr_chunk = ""
+            prev_chunk = None
+            prev_chunk_tokens = None
+
+            for sentence in sentences:
+                if preformatter is not None:
+                    if len(sub_responses) == 0:
+                        curr_chunk_formatted = preformatter.generate_prompt(
+                            curr_chunk, None
+                        )
+                    else:
+                        curr_chunk_formatted = preformatter.generate_prompt(
+                            curr_chunk, sub_responses[-1]
+                        )
+                else:
+                    curr_chunk_formatted = curr_chunk
+                if tokenizer is None:
+                    curr_chunk_tokens = curr_chunk_formatted
+                else:
+                    curr_chunk_tokens = tokenizer(
+                        curr_chunk_formatted, return_tensors="np"
+                    )["input_ids"].astype(np.int32)
+
+                if curr_chunk_tokens.shape[1] < max_len:
+                    prev_chunk = curr_chunk
+                    prev_chunk_tokens = curr_chunk_tokens
+                    curr_chunk += sentence + "\n"
+                else:
+                    chunked = True
+                    break
+
+            if prev_chunk_tokens is None:
+                raise RuntimeError(
+                    f"Length of a single line ({curr_chunk_tokens.shape[1]}) is more than maximum length to chunk prompt to ({max_len})"
+                )
+
+            if chunked:
+                with response_handler:
+                    if preformatter is not None:
+                        if len(sub_responses) == 0:
+                            print(f"Prompt (with {preformatter.name} preformatter):")
+                            print(prev_chunk)
+                        else:
+                            print(
+                                f"Prompt (with {preformatter.name} preformatter with input):"
+                            )
+                            print(prev_chunk)
+                    else:
+                        print("Prompt:")
+                        print(prev_chunk)
+                return prev_chunk_tokens, prompt.split(prev_chunk)[1]
+            else:
+                with response_handler:
+                    if preformatter is not None:
+                        if len(sub_responses) == 0:
+                            print(f"Prompt (with {preformatter.name} preformatter):")
+                            print(curr_chunk)
+                        else:
+                            print(
+                                f"Prompt (with {preformatter.name} preformatter with input):"
+                            )
+                            print(curr_chunk)
+                    else:
+                        print("Prompt:")
+                        print(curr_chunk)
+                return curr_chunk_tokens, None
+
+
+def dump_embedding_lut_for_cmdline(weight_dir, state_dict, config):
+    model_name = os.path.basename(weight_dir)
+    output_path = os.path.join(weight_dir, f"embedding_{model_name}_fp32.bin")
+    if not os.path.exists(output_path):
+        embedding = (
+            _get_embedding_weight(weight_dir, state_dict)
+            .to(torch.float32)
+            .cpu()
+            .numpy()
+        )
+
+        with open(output_path, "wb") as f:
+            f.write(embedding.flatten().tobytes())
+        print(f"cmdline LUT embedding bin exported to {output_path}")
+
+
+def generate_alibi(
+    cache_size,
+    valid_cache,
+    input_length,
+    valid_input,
+    num_heads,
+    batch_size=1,
+    pytorch=False,
+):
+    assert (
+        valid_input <= input_length
+    ), "valid_input must be less than or equal to input_length"
+    assert (
+        valid_cache <= cache_size
+    ), "valid_cache must be less than or equal to cache_size"
+    valid_seq_length = valid_cache + valid_input
+    total_valid = np.ones((batch_size, valid_seq_length), dtype=np.int32)
+    closest_power_of_2 = 2 ** math.floor(math.log2(num_heads))
+    base = 2 ** ((-(2 ** -(math.log2 - 3))))
+    powers = np.arange(1, 1 + closest_power_of_2, dtype=np.int32)
+    slopes = np.power(base, powers)
+
+    if closest_power_of_2 != num_heads:
+        extra_base = 2 ** ((-(2 ** -(math.log2(2 * closest_power_of_2) - 3))))
+        num_remaining_heads = min(closest_power_of_2, num_heads - closest_power_of_2)
+        extra_powers = np.arange(1, 1 + 2 * num_remaining_heads, 2, dtype=np.int32)
+        slopes = np.concatenate([slopes, np.power(extra_base, extra_powers)], axis=0)
+
+    arange_tensor = ((np.cumsum(total_valid, axis=-1) - 1))[:, None, :]
+    alibi = slopes[..., None] * arange_tensor
+    alibi = alibi.reshape(batch_size, num_heads, 1, valid_seq_length)
+
+    pre_pad_length = cache_size - valid_cache
+    pre_pad_tensor = np.zeros(
+        (batch_size, num_heads, 1, pre_pad_length), dtype=np.float32
+    )
+    post_pad_length = input_length - valid_input
+    post_pad_tensor = np.zeros(
+        (batch_size, num_heads, 1, post_pad_length), dtype=np.float32
+    )
+    alibi = np.concatenate([pre_pad_tensor, alibi, post_pad_tensor], axis=-1).astype(
+        np.float32
+    )
+
+    if pytorch:
+        return torch.from_numpy(alibi.copy())
+    return alibi.copy()
+
+
+def generate_mask(
+    cache_size,
+    valid_cache,
+    input_length,
+    valid_input,
+    batch_size=1,
+    mask_value=-100.0,
+    pytorch=True,
+):
+    assert (
+        valid_cache <= cache_size
+    ), "valid_cache must be less than or equal to cache_size"
+    assert (
+        valid_input <= input_length
+    ), "valid_input must be less than or equal to input_length"
+    # Cache mask portion
+    valid = np.zeros((1, 1, 1, valid_cache + input_length), dtype=np.float32)
+    cache_mask = np.full(
+        (1, 1, 1, cache_size - valid_cache), mask_value, dtype=np.float32
+    )
+    cache_mask = np.concatenate((cache_mask, valid), axis=-1)
+    cache_mask_final_shape = np.broadcast_to(
+        cache_mask, (batch_size, 1, input_length, cache_size + input_length)
+    )
+
+    # Attention mask portion
+    mask_cond = np.arange(valid_input)
+    triangle = mask_cond >= (mask_cond + 1).reshape(valid_input, 1)
+    small_attention_mask = triangle.astype(np.float32) * mask_value
+    attention_mask = np.pad(
+        small_attention_mask,
+        (0, input_length - valid_input),
+        "constant",
+        constant_values=mask_value,
+    )
+    attention_mask_with_cache = np.concatenate(
+        [np.zeros((input_length, cache_size), dtype=np.float32), attention_mask],
+        axis=-1,
+    )
+    attention_mask_final_shape = np.broadcast_to(
+        attention_mask_with_cache[None, None, :, :],
+        (batch_size, 1, input_length, cache_size + input_length),
+    )
+
+    combined_mask = attention_mask_final_shape + cache_mask_final_shape
+
+    if pytorch:
+        return torch.from_numpy(combined_mask.copy())
+    return combined_mask.copy()
+
+
+def get_dest_path(output_folder, exp_name, shape, chunk_idx):
+    dest_folder_root = output_folder + f"_{shape}"
+    os.makedirs(dest_folder_root, exist_ok=True)
+    fname = f"{exp_name}_{shape}_{chunk_idx}.pte"
+    dest_path = os.path.join(dest_folder_root, fname)
+
+    return dest_path
+
+
+def get_dirname(file_path):
+    return os.path.dirname(file_path)
+
+
+def get_exp_name(config_path):
+    weight_dir = get_dirname(config_path)
+    weight_name = os.path.basename(weight_dir)
+    config_name = os.path.basename(config_path).split(".json")[0].replace("config", "")
+    if config_name == "":
+        exp_name = f"{weight_name}"
+    else:
+        if config_name.startswith("_"):
+            config_name = config_name[1:]
+        exp_name = f"{weight_name}_{config_name}"
+    return exp_name
+
+
+def get_embedding_layer(config, weight_dir, state_dict):
+    embedding_weight = _get_embedding_weight(weight_dir, state_dict)
+
+    model = torch.nn.Embedding(config.vocab_size, config.hidden_size, -1)
+    embed_state_dict = {}
+    embed_state_dict["weight"] = embedding_weight.to(torch.float32)
+    model.load_state_dict(embed_state_dict)
+    return model
+
+
+def get_export_shapes(shapes):
+    export_shapes = {}
+    max_num_token = 0
+    max_cache_size = 0
+    for shape in shapes:
+        print(f"Shape: {shape}")
+        num_token = int(shape.split("t")[0])
+        cache_size = int(shape.split("t")[1].split("c")[0])
+        export_shapes[shape] = [num_token, cache_size]
+        max_num_token = num_token if num_token > max_num_token else max_num_token
+        max_cache_size = cache_size if cache_size > max_cache_size else max_cache_size
+
+    return export_shapes, max_num_token, max_cache_size
+
+
+def get_master_rot_emb(config, dtype):
+    rot_dim = int(config.hidden_size / config.num_attention_heads)
+    length = config.max_position_embeddings
+
+    if config.ntk_scaling_factor != 1.0:
+        base = (10000 * config.ntk_scaling_factor) ** (rot_dim / (rot_dim - 2))
+    else:
+        base = 10000
+
+    inv_freq = 1.0 / (
+        base ** (np.arange(0, rot_dim, 2, dtype=np.float32) / rot_dim)
+    )  # (rot_dim/2)
+    t = np.arange(length, dtype=np.float32)  # (len)
+    freqs = np.einsum("i,j->ij", t, inv_freq)  # (len, rot_dim/2)
+    emb = np.concatenate((freqs, freqs), axis=-1)  # (len, rot_dim)
+    master_cos = np.cos(emb)[None, None, :, :]  # (1,1,len,rot_dim)
+    master_sin = np.sin(emb)[None, None, :, :]  # (1,1,len,rot_dim)
+
+    rot_emb = np.concatenate((master_cos, master_sin), axis=1)
+
+    if isinstance(dtype, torch.dtype):
+        return torch.from_numpy(rot_emb).to(dtype)
+    else:
+        return rot_emb.astype(dtype)
+
+
+def get_normalized_config(config_filepath):
+    config_file = json.load(open(config_filepath, "r"))
+    if config_file["model_type"] == "llama":
+        from models.llm_models.configuration_llama import LlamaConfig as config_class
+    config = config_class(**config_file, verbose=False)
+    return config
+
+
+def get_sorted_path_list(folder, ext=".", absolute=False):
+    if absolute:
+        sorted_list = sorted(
+            os.listdir(folder), key=lambda f: int(f.rsplit("_", 1)[1].split(ext)[0])
+        )
+        return [os.path.join(folder, x) for x in sorted_list]
+    else:
+        return sorted(
+            os.listdir(folder), key=lambda f: int(f.rsplit("_", 1)[1].split(ext)[0])
+        )
+
+
+def load_checkpoints(weight_dir):
+    checkpoint_files = [
+        os.path.join(weight_dir, f)
+        for f in os.listdir(weight_dir)
+        if (f.startswith("pytorch_model") and f.endswith(".bin"))
+        or (f.startswith("model") and f.endswith(".safetensors"))
+    ]
+    if len(checkpoint_files) == 0:
+        print("!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!")
+        print("!No model weight files found! Using fake weights!")
+        print("!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!")
+
+    if len(checkpoint_files) == 0:
+        return None
+
+    state_dict = {}
+    print("Loading weights from disk")
+    is_safetensors = checkpoint_files[0].endswith(".safetensors")
+    for i in range(len(checkpoint_files)):
+        if is_safetensors:
+            state_dict = {**state_dict, **load_file(checkpoint_files[i], device="cpu")}
+        else:
+            state_dict = {
+                **state_dict,
+                **torch.load(
+                    checkpoint_files[i], map_location="cpu", weights_only=True
+                ),
+            }
+
+    return state_dict
+
+
+def resolve_model_classes(
+    config_filepath, bypass_tokenizer=False, response_handler=None
+):
+    config_file = json.load(open(config_filepath, "r"))
+    weight_dir = get_dirname(config_filepath)
+    if config_file["model_type"] == "llama":
+        from models.llm_models.configuration_llama import LlamaConfig as config_class
+        from models.llm_models.modeling_llama import LlamaModelChunk as chunk_class
+    config = config_class(**config_file, response_handler=response_handler)
+    if bypass_tokenizer:
+        return config, weight_dir, chunk_class
+    else:
+        if config.tokenizer == "default":
+            if config_file["model_type"] == "llama":
+                from aot_utils.llm_utils.tokenizers_.tokenization_llama import (
+                    LlamaTokenizer as tokenizer_class,
+                )
+        else:
+            if config.tokenizer == "llama":
+                from aot_utils.llm_utils.tokenizers_.tokenization_llama import (
+                    LlamaTokenizer as tokenizer_class,
+                )
+            elif config.tokenizer == "pretrained_fast":
+                from aot_utils.llm_utils.tokenizers_.tokenization_utils_fast import (
+                    PreTrainedTokenizerFast as tokenizer_class,
+                )
+        return config, weight_dir, tokenizer_class, chunk_class
diff --git a/examples/mediatek/aot_utils/oss_utils/utils.py b/examples/mediatek/aot_utils/oss_utils/utils.py
new file mode 100755
index 0000000000..f447b2ac68
--- /dev/null
+++ b/examples/mediatek/aot_utils/oss_utils/utils.py
@@ -0,0 +1,73 @@
+# Copyright (c) MediaTek Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import os
+from typing import Optional
+
+import torch
+from executorch import exir
+from executorch.backends.mediatek import (
+    NeuropilotPartitioner,
+    NeuropilotQuantizer,
+    Precision,
+)
+from torch.ao.quantization.quantize_pt2e import convert_pt2e, prepare_pt2e
+
+
+def build_executorch_binary(
+    model,
+    inputs,
+    file_name,
+    dataset,
+    quant_dtype: Optional[Precision] = None,
+):
+    if quant_dtype is not None:
+        quantizer = NeuropilotQuantizer()
+        quantizer.setup_precision(quant_dtype)
+        if quant_dtype not in Precision:
+            raise AssertionError(f"No support for Precision {quant_dtype}.")
+
+        captured_model = torch._export.capture_pre_autograd_graph(model, inputs)
+        annotated_model = prepare_pt2e(captured_model, quantizer)
+        print("Quantizing the model...")
+        # calibration
+        for data in dataset:
+            annotated_model(*data)
+        quantized_model = convert_pt2e(annotated_model, fold_quantize=False)
+        aten_dialect = torch.export.export(quantized_model, inputs)
+    else:
+        aten_dialect = torch.export.export(model, inputs)
+
+    from executorch.exir.program._program import to_edge_transform_and_lower
+
+    edge_compile_config = exir.EdgeCompileConfig(_check_ir_validity=False)
+    # skipped op names are used for deeplabV3 model
+    neuro_partitioner = NeuropilotPartitioner(
+        [],
+        op_names_to_skip={
+            "aten_convolution_default_106",
+            "aten_convolution_default_107",
+        },
+    )
+    edge_prog = to_edge_transform_and_lower(
+        aten_dialect,
+        compile_config=edge_compile_config,
+        partitioner=[neuro_partitioner],
+    )
+
+    exec_prog = edge_prog.to_executorch(
+        config=exir.ExecutorchBackendConfig(extract_constant_segment=False)
+    )
+    with open(f"{file_name}.pte", "wb") as file:
+        file.write(exec_prog.buffer)
+
+
+def make_output_dir(path: str):
+    if os.path.exists(path):
+        for f in os.listdir(path):
+            os.remove(os.path.join(path, f))
+        os.removedirs(path)
+    os.makedirs(path)
diff --git a/examples/mediatek/eval_utils/eval_oss_result.py b/examples/mediatek/eval_utils/eval_oss_result.py
new file mode 100755
index 0000000000..3e599330b6
--- /dev/null
+++ b/examples/mediatek/eval_utils/eval_oss_result.py
@@ -0,0 +1,198 @@
+# Copyright (c) MediaTek Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import argparse
+import json
+import os
+
+import numpy as np
+import piq
+import torch
+
+
+def check_data(target_f, predict_f):
+    target_files = os.listdir(target_f)
+    predict_files = os.listdir(predict_f)
+    if len(target_files) != len(predict_files):
+        raise RuntimeError(
+            "Data number in target folder and prediction folder must be same"
+        )
+
+    predict_set = set(predict_files)
+    for f in target_files:
+        # target file naming rule is golden_sampleId_outId.bin
+        # predict file naming rule is output_sampleId_outId.bin
+        pred_name = f.replace("golden", "output")
+        try:
+            predict_set.remove(pred_name)
+        except KeyError:
+            raise RuntimeError(f"Cannot find {pred_name} in {predict_f}")
+
+    if predict_set:
+        target_name = next(predict_set).replace("output", "golden")
+        raise RuntimeError(f"Cannot find {target_name} in {target_f}")
+
+
+def eval_topk(target_f, predict_f):
+    def solve(prob, target, k):
+        _, indices = torch.topk(prob, k=k, sorted=True)
+        golden = torch.reshape(target, [-1, 1])
+        correct = golden == indices
+        if torch.any(correct):
+            return 1
+        else:
+            return 0
+
+    target_files = os.listdir(target_f)
+
+    cnt10 = 0
+    cnt50 = 0
+    for target_name in target_files:
+        pred_name = target_name.replace("golden", "output")
+
+        pred_npy = np.fromfile(os.path.join(predict_f, pred_name), dtype=np.float32)
+        target_npy = np.fromfile(os.path.join(target_f, target_name), dtype=np.int64)[0]
+        cnt10 += solve(torch.from_numpy(pred_npy), torch.from_numpy(target_npy), 10)
+        cnt50 += solve(torch.from_numpy(pred_npy), torch.from_numpy(target_npy), 50)
+
+    print("Top10 acc:", cnt10 * 100.0 / len(target_files))
+    print("Top50 acc:", cnt50 * 100.0 / len(target_files))
+
+
+def eval_piq(target_f, predict_f):
+    target_files = os.listdir(target_f)
+
+    psnr_list = []
+    ssim_list = []
+    for target_name in target_files:
+        pred_name = target_name.replace("golden", "output")
+        hr = np.fromfile(os.path.join(target_f, target_name), dtype=np.float32)
+        hr = hr.reshape((1, 448, 448, 3))
+        hr = np.moveaxis(hr, 3, 1)
+        hr = torch.from_numpy(hr)
+
+        sr = np.fromfile(os.path.join(predict_f, pred_name), dtype=np.float32)
+        sr = sr.reshape((1, 448, 448, 3))
+        sr = np.moveaxis(sr, 3, 1)
+        sr = torch.from_numpy(sr).clamp(0, 1)
+
+        psnr_list.append(piq.psnr(hr, sr))
+        ssim_list.append(piq.ssim(hr, sr))
+
+    avg_psnr = sum(psnr_list).item() / len(psnr_list)
+    avg_ssim = sum(ssim_list).item() / len(ssim_list)
+
+    print(f"Avg of PSNR is: {avg_psnr}")
+    print(f"Avg of SSIM is: {avg_ssim}")
+
+
+def eval_segmentation(target_f, predict_f):
+    classes = [
+        "Backround",
+        "Aeroplane",
+        "Bicycle",
+        "Bird",
+        "Boat",
+        "Bottle",
+        "Bus",
+        "Car",
+        "Cat",
+        "Chair",
+        "Cow",
+        "DiningTable",
+        "Dog",
+        "Horse",
+        "MotorBike",
+        "Person",
+        "PottedPlant",
+        "Sheep",
+        "Sofa",
+        "Train",
+        "TvMonitor",
+    ]
+
+    target_files = os.listdir(target_f)
+
+    def make_confusion(goldens, predictions, num_classes):
+        def histogram(golden, predict):
+            mask = golden < num_classes
+            hist = np.bincount(
+                num_classes * golden[mask].astype(int) + predict[mask],
+                minlength=num_classes**2,
+            ).reshape(num_classes, num_classes)
+            return hist
+
+        confusion = np.zeros((num_classes, num_classes))
+        for g, p in zip(goldens, predictions):
+            confusion += histogram(g.flatten(), p.flatten())
+
+        return confusion
+
+    pred_list = []
+    target_list = []
+    for target_name in target_files:
+        pred_name = target_name.replace("golden", "output")
+        target_npy = np.fromfile(os.path.join(target_f, target_name), dtype=np.uint8)
+        target_npy = target_npy.reshape((224, 224))
+        target_list.append(target_npy)
+
+        pred_npy = np.fromfile(os.path.join(predict_f, pred_name), dtype=np.float32)
+        pred_npy = pred_npy.reshape((224, 224, len(classes)))
+        pred_npy = pred_npy.argmax(2).astype(np.uint8)
+        pred_list.append(pred_npy)
+
+    eps = 1e-6
+    confusion = make_confusion(target_list, pred_list, len(classes))
+
+    pa = np.diag(confusion).sum() / (confusion.sum() + eps)
+    mpa = np.mean(np.diag(confusion) / (confusion.sum(axis=1) + eps))
+    iou = np.diag(confusion) / (
+        confusion.sum(axis=1) + confusion.sum(axis=0) - np.diag(confusion) + eps
+    )
+    miou = np.mean(iou)
+    cls_iou = dict(zip(classes, iou))
+
+    print(f"PA   : {pa}")
+    print(f"MPA  : {mpa}")
+    print(f"MIoU : {miou}")
+    print(f"CIoU : \n{json.dumps(cls_iou, indent=2)}")
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "--target_f",
+        help="folder of target data",
+        type=str,
+        required=True,
+    )
+
+    parser.add_argument(
+        "--out_f",
+        help="folder of model prediction data",
+        type=str,
+        required=True,
+    )
+
+    parser.add_argument(
+        "--eval_type",
+        help="Choose eval type from: topk, piq, segmentation",
+        type=str,
+        choices=["topk", "piq", "segmentation"],
+        required=True,
+    )
+
+    args = parser.parse_args()
+
+    check_data(args.target_f, args.out_f)
+
+    if args.eval_type == "topk":
+        eval_topk(args.target_f, args.out_f)
+    elif args.eval_type == "piq":
+        eval_piq(args.target_f, args.out_f)
+    elif args.eval_type == "segmentation":
+        eval_segmentation(args.target_f, args.out_f)
diff --git a/examples/mediatek/executor_runner/llama_runner/CMakeLists.txt b/examples/mediatek/executor_runner/llama_runner/CMakeLists.txt
new file mode 100644
index 0000000000..9d27e685f3
--- /dev/null
+++ b/examples/mediatek/executor_runner/llama_runner/CMakeLists.txt
@@ -0,0 +1,41 @@
+# Copyright (c) 2024 MediaTek Inc.
+#
+# Licensed under the BSD License (the "License"); you may not use this file
+# except in compliance with the License. See the license file in the root
+# directory of this source tree for more details.
+
+# Let include directory as "executorch/..."
+set(_common_include_directories ${CMAKE_CURRENT_SOURCE_DIR}/../../../..)
+include_directories(BEFORE ${_common_include_directories})
+
+# shortcut include directory for neuron headers
+include_directories(
+  BEFORE ${_common_include_directories}/backends/mediatek/runtime/include
+)
+
+add_library(llm_helper STATIC)
+target_sources(
+  llm_helper
+  PRIVATE llm_helper/mask_builder.cpp llm_helper/rotary_embedding.cpp
+          llm_helper/token_embedding.cpp
+)
+
+target_link_libraries(llm_helper PRIVATE executorch)
+target_include_directories(
+  llm_helper PRIVATE ${CMAKE_CURRENT_SOURCE_DIR} llm_helper/include
+)
+target_compile_options(llm_helper PRIVATE ${_common_compile_options})
+
+add_library(mtk_llama_executor_lib STATIC)
+target_link_libraries(
+  mtk_llama_executor_lib
+  PRIVATE ${_executor_runner_libs} ${NEURON_BUFFER_ALLOCATOR_LIB}
+          neuron_backend log llm_helper
+)
+target_sources(
+  mtk_llama_executor_lib
+  INTERFACE MultiModelLoader.h ModelChunk.h LlamaModelChunk.h LlamaRuntime.h
+  PRIVATE MultiModelLoader.cpp ModelChunk.cpp LlamaModelChunk.cpp
+          LlamaRuntime.cpp
+)
+target_compile_options(mtk_llama_executor_lib PUBLIC ${_common_compile_options})
diff --git a/examples/mediatek/executor_runner/llama_runner/FileMemMapper.h b/examples/mediatek/executor_runner/llama_runner/FileMemMapper.h
new file mode 100644
index 0000000000..5fc09428db
--- /dev/null
+++ b/examples/mediatek/executor_runner/llama_runner/FileMemMapper.h
@@ -0,0 +1,100 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#include <executorch/runtime/platform/log.h>
+
+#include <string>
+
+#include <fcntl.h>
+#include <sys/mman.h>
+#include <sys/stat.h>
+#include <unistd.h>
+
+namespace torch::executor {
+
+class FileMemMapper { // Read-only mmap
+ public:
+  explicit FileMemMapper(const std::string& path) {
+    // Get fd
+    mFd = open(path.c_str(), O_RDONLY);
+    if (mFd == -1) {
+      ET_LOG(Error, "Open file fail: %s", path.c_str());
+      return;
+    }
+
+    // Get size
+    struct stat sb;
+    if (fstat(mFd, &sb) == -1) {
+      ET_LOG(Error, "fstat fail");
+      return;
+    }
+    mSize = sb.st_size;
+
+    // Map file data to memory
+    mBuffer = mmap(NULL, mSize, PROT_READ, MAP_SHARED, mFd, 0);
+    if (mBuffer == MAP_FAILED) {
+      ET_LOG(Error, "mmap fail");
+      return;
+    }
+
+    ET_LOG(
+        Debug,
+        "FileMemMapper: Mapped to (fd=%d, size=%zu, addr=%p): %s",
+        mFd,
+        mSize,
+        mBuffer,
+        path.c_str());
+  }
+
+  // Move ctor
+  explicit FileMemMapper(FileMemMapper&& other)
+      : mFd(other.mFd), mBuffer(other.mBuffer), mSize(other.mSize) {
+    other.mFd = -1;
+    other.mBuffer = nullptr;
+    other.mSize = 0;
+  }
+
+  ~FileMemMapper() {
+    if (!mBuffer && mFd == -1) {
+      return;
+    }
+
+    ET_LOG(
+        Debug,
+        "FileMemMapper: Unmapping (fd=%d, size=%zu, addr=%p)",
+        mFd,
+        mSize,
+        mBuffer);
+
+    if (mBuffer && munmap(mBuffer, mSize) == -1) {
+      ET_LOG(Error, "munmap fail");
+      return;
+    }
+
+    if (mFd != -1 && close(mFd) == -1) {
+      ET_LOG(Error, "close fail");
+      return;
+    }
+  }
+
+  template <typename T = void*>
+  T getAddr() const {
+    return reinterpret_cast<T>(mBuffer);
+  }
+
+  size_t getSize() const {
+    return mSize;
+  }
+
+ private:
+  int mFd = -1;
+  void* mBuffer = nullptr;
+  size_t mSize = 0;
+};
+
+} // namespace torch::executor
\ No newline at end of file
diff --git a/examples/mediatek/executor_runner/llama_runner/LlamaConfig.h b/examples/mediatek/executor_runner/llama_runner/LlamaConfig.h
new file mode 100644
index 0000000000..5465299b32
--- /dev/null
+++ b/examples/mediatek/executor_runner/llama_runner/LlamaConfig.h
@@ -0,0 +1,45 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#pragma once
+
+#include <string>
+#include <vector>
+
+#include "llm_helper/include/llm_types.h"
+
+namespace torch::executor {
+
+using llm_helper::LLMType;
+
+struct LlamaModelOptions {
+  // Sizes
+  size_t prompt_token_batch_size = 1;
+  size_t cache_size = 1024;
+  size_t hidden_size = 4096;
+  size_t num_head = 32;
+  size_t num_layer = 32;
+  size_t max_token_length = 2048;
+  double rot_emb_base = 10000.0f;
+
+  // Types
+  LLMType model_input_type = LLMType::INT16;
+  LLMType model_output_type = LLMType::INT16;
+  LLMType cache_type = LLMType::INT16;
+  LLMType mask_type = LLMType::INT16;
+  LLMType rot_emb_type = LLMType::INT16;
+};
+
+struct LlamaModelPaths {
+  std::string tokenizer_path;
+  std::string token_embedding_path;
+  std::vector<std::string> prompt_model_paths;
+  std::vector<std::string> gen_model_paths;
+};
+
+} // namespace torch::executor
\ No newline at end of file
diff --git a/examples/mediatek/executor_runner/llama_runner/LlamaModelChunk.cpp b/examples/mediatek/executor_runner/llama_runner/LlamaModelChunk.cpp
new file mode 100644
index 0000000000..c2d75fd30e
--- /dev/null
+++ b/examples/mediatek/executor_runner/llama_runner/LlamaModelChunk.cpp
@@ -0,0 +1,346 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#include <numeric>
+#include <string>
+#include <unordered_map>
+#include <vector>
+
+#include <executorch/extension/data_loader/file_data_loader.h>
+#include <executorch/extension/evalue_util/print_evalue.h>
+#include <executorch/runtime/executor/method.h>
+#include <executorch/runtime/executor/program.h>
+#include <executorch/runtime/platform/log.h>
+#include <executorch/runtime/platform/profiler.h>
+#include <executorch/runtime/platform/runtime.h>
+
+#include "LlamaConfig.h"
+#include "LlamaModelChunk.h"
+#include "llm_helper/include/llm_types.h"
+
+#include "llm_helper/include/mask_builder.h"
+#include "llm_helper/include/rotary_embedding.h"
+
+namespace torch::executor {
+
+inline std::vector<size_t> getIndexRange(
+    const size_t startIndex,
+    const size_t count) {
+  std::vector<size_t> indexes(count);
+  size_t counter = startIndex;
+  for (auto& idx : indexes) {
+    idx = counter++;
+  }
+  return indexes;
+}
+
+LlamaModelChunk::LlamaModelChunk(
+    const ModelPathMap& modelPathMap,
+    const LlamaModelOptions& modelOptions,
+    const size_t initBatchSize,
+    const size_t numCache,
+    const size_t numRotEmbInputs,
+    const RotaryEmbeddingMasterLut* rotEmbMasterLut)
+    : ModelChunk(modelPathMap, initBatchSize),
+      kMaxTokenLength(modelOptions.max_token_length),
+      kCacheLength(modelOptions.cache_size),
+      kMaskType(modelOptions.mask_type),
+      kRotEmbMasterLut(rotEmbMasterLut),
+      kCacheType(modelOptions.cache_type),
+      kCacheTypeSize(llm_helper::getLLMTypeSize(kCacheType)),
+      kMaskInputIndex(1),
+      kRotEmbInputIndexes(getIndexRange(2, numRotEmbInputs)),
+      kCacheInputIndexes(
+          getIndexRange(kRotEmbInputIndexes.back() + 1, numCache)),
+      kCacheOutputIndexes(getIndexRange(1, numCache)) {}
+
+LlamaModelChunk::~LlamaModelChunk() {}
+
+size_t LlamaModelChunk::GetExpectedInputCount() const {
+  const size_t rotEmbInputCount = kRotEmbInputIndexes.size();
+  const size_t cacheInputCount = kCacheInputIndexes.size();
+  return 2 + rotEmbInputCount + cacheInputCount;
+}
+
+size_t LlamaModelChunk::GetExpectedOutputCount() const {
+  const size_t cacheOutputCount = kCacheOutputIndexes.size();
+  return 1 + cacheOutputCount;
+}
+
+void LlamaModelChunk::Initialize() {
+  LoadModels();
+  GetModelIoInfo();
+  CheckIoCount();
+  PrepareCacheIOs();
+  AllocateIoBuffers();
+  InitMaskBuilder();
+  InitCache();
+
+  SetBackendInputs();
+  SetBackendOutputs();
+  mIsInitialized = true;
+}
+
+void LlamaModelChunk::CheckIoCount() {
+  const auto& method = GetModelMethod();
+  const size_t modelInputCount = method.inputs_size();
+  const size_t modelOutputCount = method.outputs_size();
+  ET_CHECK_MSG(
+      modelInputCount == GetExpectedInputCount(),
+      "Number of inputs does not match (expected %zu but got %zu).",
+      GetExpectedInputCount(),
+      modelInputCount);
+  ET_CHECK_MSG(
+      modelOutputCount == GetExpectedOutputCount(),
+      "Number of outputs does not match (expected %zu but got %zu).",
+      GetExpectedOutputCount(),
+      modelOutputCount);
+}
+
+bool LlamaModelChunk::HotSwapModel(const size_t tokenBatchSize) {
+  const auto status = ModelChunk::HotSwapModel(tokenBatchSize);
+
+  // Force rebuild mask because different batch size values will produce
+  // different mask shapes.
+  mMaskBuilder->markMaskDirty();
+
+  // Update mask size
+  const auto newMaskSizeBytes = mInputBufferInfos[kMaskInputIndex].nbytesUsed;
+  mMaskBuilder->updateMaskSize(newMaskSizeBytes);
+
+  return status;
+}
+
+void LlamaModelChunk::Reset() {
+  mCurrentPadSize = 0;
+  mCurrentTokenIndex = 0;
+  InitCache(); // Reset cache to zeros
+}
+
+void LlamaModelChunk::SetLeftPadding(const size_t leftPadSize) {
+  mCurrentPadSize = leftPadSize;
+  mPaddingMode = PaddingMode::LEFT;
+
+  // Notify mask builder about padding
+  mMaskBuilder->notifyLeftPadding(leftPadSize);
+}
+
+void LlamaModelChunk::SetRightPadding(const size_t rightPadSize) {
+  mCurrentPadSize = rightPadSize;
+  mPaddingMode = PaddingMode::RIGHT;
+
+  // Notify mask builder about padding
+  mMaskBuilder->notifyRightPadding(rightPadSize);
+}
+
+size_t LlamaModelChunk::GetLeftPadding() const {
+  return (mPaddingMode == PaddingMode::LEFT) ? mCurrentPadSize : 0;
+}
+
+size_t LlamaModelChunk::GetRightPadding() const {
+  return (mPaddingMode == PaddingMode::RIGHT) ? mCurrentPadSize : 0;
+}
+
+void LlamaModelChunk::PaddingPostprocess() {
+  if (mCurrentPadSize == 0) {
+    return;
+  }
+
+  if (mPaddingMode == PaddingMode::RIGHT) {
+    RightPaddingCachePostprocess();
+  } else if (mPaddingMode == PaddingMode::LEFT) {
+    LeftPaddingCachePostprocess();
+  }
+}
+
+void LlamaModelChunk::LeftPaddingCachePostprocess() {
+  // NOTE: This part might not actually be needed
+
+  // Stride size is same across caches
+  const size_t strideSizeBytes = GetCacheStrideSize();
+  const size_t rowSize = kCacheLength * strideSizeBytes;
+
+  const size_t numRows = GetCacheNumRows();
+
+  const size_t offset = (kCacheLength - mTokenBatchSize) * strideSizeBytes;
+  const size_t zeroCount = mCurrentPadSize * strideSizeBytes;
+
+  // Fill padded sections with zeros
+  for (const auto cacheInputIdx : kCacheInputIndexes) {
+    auto cacheBuffer =
+        reinterpret_cast<char*>(mInputBufferInfos[cacheInputIdx].data);
+    for (size_t rowIdx = 0; rowIdx < numRows; rowIdx++) {
+      // cacheBufRow points at the start of row
+      auto cacheBufRow = cacheBuffer + rowIdx * rowSize;
+      std::memset(cacheBufRow + offset, 0, zeroCount);
+    }
+  }
+}
+
+void LlamaModelChunk::RightPaddingCachePostprocess() {
+  // NOTE: AdvanceTokenIndex() haven't been called for this inference step yet.
+  const size_t numSeenToken = mCurrentTokenIndex + mTokenBatchSize;
+  RollbackCache(mCurrentPadSize, numSeenToken);
+}
+
+void LlamaModelChunk::RollbackCache(
+    const size_t rollbackTokCount,
+    const size_t numSeenToken) {
+  if (rollbackTokCount == 0) {
+    return; // do nothing
+  }
+
+  const size_t numSeenTokenAlive = std::min(numSeenToken, kCacheLength);
+  const size_t firstNonEmptyIdx = kCacheLength - numSeenTokenAlive;
+  const size_t preserveTokCount = (numSeenTokenAlive > rollbackTokCount)
+      ? numSeenTokenAlive - rollbackTokCount
+      : 0;
+
+  if (!preserveTokCount) {
+    // Clear cache to zeros
+    InitCache();
+    return;
+  }
+
+  const size_t strideSizeBytes = GetCacheStrideSize();
+  const size_t rowSize = kCacheLength * strideSizeBytes;
+  const size_t numRows = GetCacheNumRows();
+
+  // Shift right and truncate rollbackTokCount, then fill left with zeros
+  for (const auto cacheInputIdx : kCacheInputIndexes) {
+    auto cacheBuffer =
+        reinterpret_cast<char*>(mInputBufferInfos[cacheInputIdx].data);
+
+    for (size_t rowIdx = 0; rowIdx < numRows; rowIdx++) {
+      // Get the addr pointing to the start of row
+      auto cacheBufRow = cacheBuffer + rowIdx * rowSize;
+
+      // Move right for the section to be preserved
+      const size_t dstOffset =
+          strideSizeBytes * (firstNonEmptyIdx + rollbackTokCount);
+      const size_t srcOffset = strideSizeBytes * firstNonEmptyIdx;
+      const size_t preserveSize = strideSizeBytes * preserveTokCount;
+      ET_DCHECK(dstOffset + preserveSize <= rowSize);
+      std::memmove(
+          cacheBufRow + dstOffset, cacheBufRow + srcOffset, preserveSize);
+
+      // Then fill zeros to the section being moved out
+      const size_t offset = firstNonEmptyIdx * strideSizeBytes;
+      const size_t zeroCount = rollbackTokCount * strideSizeBytes;
+      std::memset(cacheBufRow + offset, 0, zeroCount);
+    }
+  }
+}
+
+void LlamaModelChunk::UpdatePosEmbAndMask(const size_t numInputToken) {
+  if (mCurrentTokenIndex + numInputToken > kMaxTokenLength) {
+    ET_LOG(
+        Fatal,
+        "Attempting to generate tokens exceeding the supported max token length (%zu)",
+        kMaxTokenLength);
+  }
+  if (mCurrentTokenIndex > 0 && GetLeftPadding() > 0) {
+    ET_LOG(Fatal, "Left-padding is only allowed in the first prompt pass.");
+  }
+  mMaskBuilder->updateMask(mTokenBatchSize, mCurrentTokenIndex, numInputToken);
+  SetPosEmbed(mCurrentTokenIndex);
+}
+
+void LlamaModelChunk::AdvanceTokenIndex() {
+  // Exclude padded tokens
+  const auto numValidInputToken = mTokenBatchSize - mCurrentPadSize;
+  mCurrentTokenIndex += numValidInputToken;
+
+  // Reset padding size
+  mCurrentPadSize = 0;
+}
+
+size_t LlamaModelChunk::GetTokenIndex() const {
+  return mCurrentTokenIndex;
+}
+
+void LlamaModelChunk::Run() {
+  UpdatePosEmbAndMask(mTokenBatchSize);
+  ModelChunk::Run();
+  PaddingPostprocess();
+  AdvanceTokenIndex();
+}
+
+void LlamaModelChunk::SetPosEmbed(const size_t tokenIndex) {
+  if (tokenIndex >= kMaxTokenLength) {
+    ET_LOG(
+        Fatal,
+        "Attempting to set rotaty embedding using index exceeding the supported max token length "
+        "(%zu)",
+        kMaxTokenLength);
+  }
+
+  auto getRotEmbInputs = [&]() {
+    std::vector<void*> rotEmbInputs;
+    rotEmbInputs.reserve(kRotEmbInputIndexes.size());
+    for (const auto inputIdx : kRotEmbInputIndexes)
+      rotEmbInputs.push_back(mInputBufferInfos[inputIdx].data);
+    return rotEmbInputs;
+  };
+  kRotEmbMasterLut->setEmbed(
+      getRotEmbInputs(),
+      tokenIndex,
+      mTokenBatchSize,
+      GetLeftPadding(),
+      GetRightPadding());
+}
+
+void LlamaModelChunk::PrepareCacheIOs() {
+  // Get cache shape
+  const auto method_meta = GetModelMethod().method_meta();
+  const auto firstInCacheIdx = kCacheInputIndexes.front();
+  mCacheShape = method_meta.input_tensor_meta(firstInCacheIdx)->sizes();
+
+  // Link cache IOs
+  const size_t numCaches = kCacheInputIndexes.size();
+  for (size_t i = 0; i < numCaches; i++) {
+    this->LinkModelIO(kCacheInputIndexes[i], kCacheOutputIndexes[i]);
+  }
+}
+
+size_t LlamaModelChunk::GetCacheNumRows() const {
+  return std::reduce(
+      mCacheShape.begin(),
+      mCacheShape.begin() + kCacheLengthDim,
+      1,
+      std::multiplies<>());
+}
+
+size_t LlamaModelChunk::GetCacheStrideSize() const {
+  return std::reduce(
+      mCacheShape.begin() + kCacheLengthDim + 1,
+      mCacheShape.end(),
+      kCacheTypeSize,
+      std::multiplies<>());
+}
+
+void LlamaModelChunk::InitMaskBuilder() {
+  const auto& maskBufferInfo = mInputBufferInfos[kMaskInputIndex];
+  const auto maskBuffer = maskBufferInfo.data;
+  const auto maskSizeBytes = maskBufferInfo.nbytesUsed;
+  mMaskBuilder = std::make_unique<MaskBuilder>(
+      maskBuffer, maskSizeBytes, kMaskType, kCacheLength);
+  mMaskBuilder->buildMask(mTokenBatchSize, mCurrentTokenIndex);
+}
+
+void LlamaModelChunk::InitCache() {
+  // Zero initialization
+  for (const auto cacheIdx : kCacheInputIndexes) {
+    const auto& inputCacheInfo = mInputBufferInfos[cacheIdx];
+    char* cacheBuffer = reinterpret_cast<char*>(inputCacheInfo.data);
+    const size_t cacheSizeBytes = inputCacheInfo.nbytes;
+    std::memset(cacheBuffer, 0, cacheSizeBytes);
+  }
+}
+
+} // namespace torch::executor
diff --git a/examples/mediatek/executor_runner/llama_runner/LlamaModelChunk.h b/examples/mediatek/executor_runner/llama_runner/LlamaModelChunk.h
new file mode 100644
index 0000000000..c8955378cb
--- /dev/null
+++ b/examples/mediatek/executor_runner/llama_runner/LlamaModelChunk.h
@@ -0,0 +1,138 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#pragma once
+
+#include <string>
+#include <unordered_map>
+#include <vector>
+
+#include <executorch/extension/data_loader/file_data_loader.h>
+#include <executorch/extension/evalue_util/print_evalue.h>
+#include <executorch/runtime/executor/method.h>
+#include <executorch/runtime/executor/program.h>
+#include <executorch/runtime/platform/log.h>
+#include <executorch/runtime/platform/profiler.h>
+#include <executorch/runtime/platform/runtime.h>
+
+#include "LlamaConfig.h"
+#include "ModelChunk.h"
+#include "llm_helper/include/llm_types.h"
+
+#include "llm_helper/include/mask_builder.h"
+#include "llm_helper/include/rotary_embedding.h"
+
+namespace torch::executor {
+
+using llm_helper::MaskBuilder;
+using llm_helper::RotaryEmbeddingMasterLut;
+
+using TensorShape = Span<const int32_t>;
+using ModelIndexMap = std::unordered_map<size_t, size_t>;
+
+// Llama decoder chunk
+class LlamaModelChunk : public ModelChunk {
+ private:
+  static constexpr size_t kCacheLengthDim = 2;
+
+ public:
+  explicit LlamaModelChunk(
+      const ModelPathMap& modelPathMap,
+      const LlamaModelOptions& modelOptions,
+      const size_t initBatchSize,
+      const size_t numCache,
+      const size_t numRotEmbInputs,
+      const RotaryEmbeddingMasterLut* rotEmbMasterLut);
+
+  ~LlamaModelChunk();
+
+  virtual void Initialize() override;
+
+  virtual void Run() override;
+
+  virtual bool HotSwapModel(const size_t tokenBatchSize) override;
+
+  void Reset();
+
+  void SetLeftPadding(const size_t leftPadSize);
+
+  void SetRightPadding(const size_t rightPadSize);
+
+  void UpdatePosEmbAndMask(const size_t numInputToken);
+
+  void AdvanceTokenIndex();
+
+  size_t GetTokenIndex() const;
+
+ private:
+  void SetPosEmbed(const size_t tokenIndex);
+
+  void InitMaskBuilder();
+
+  void InitCache();
+
+  void PrepareCacheIOs();
+
+  size_t GetCacheStrideSize() const;
+
+  size_t GetCacheNumRows() const;
+
+  size_t GetLeftPadding() const;
+
+  size_t GetRightPadding() const;
+
+  void PaddingPostprocess();
+
+  virtual void LeftPaddingCachePostprocess();
+
+  virtual void RightPaddingCachePostprocess();
+
+  virtual void RollbackCache(
+      const size_t rollbackTokCount,
+      const size_t numSeenToken);
+
+ private:
+  void CheckIoCount();
+
+  size_t GetExpectedInputCount() const;
+
+  size_t GetExpectedOutputCount() const;
+
+ private:
+  // Input/Output Indexes
+  const size_t kMaskInputIndex;
+  const std::vector<size_t> kRotEmbInputIndexes;
+  const std::vector<size_t> kCacheInputIndexes;
+  const std::vector<size_t> kCacheOutputIndexes;
+
+  // Cache
+  TensorShape mCacheShape;
+  const LLMType kCacheType;
+  const size_t kMaxTokenLength;
+  const size_t kCacheLength;
+  const size_t kCacheTypeSize;
+
+  // Mask
+  const LLMType kMaskType;
+
+  // Padding
+  size_t mCurrentPadSize = 0;
+  enum class PaddingMode { LEFT, RIGHT };
+  PaddingMode mPaddingMode = PaddingMode::RIGHT;
+
+  // Lookup table for rotary embedding
+  const RotaryEmbeddingMasterLut* kRotEmbMasterLut;
+
+  // Mask builder
+  std::unique_ptr<MaskBuilder> mMaskBuilder;
+
+  // Keep track of token index. Its value can also be viewed as numSeenToken.
+  size_t mCurrentTokenIndex = 0;
+};
+
+} // namespace torch::executor
diff --git a/examples/mediatek/executor_runner/llama_runner/LlamaRuntime.cpp b/examples/mediatek/executor_runner/llama_runner/LlamaRuntime.cpp
new file mode 100644
index 0000000000..0d2d5ccd59
--- /dev/null
+++ b/examples/mediatek/executor_runner/llama_runner/LlamaRuntime.cpp
@@ -0,0 +1,204 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#include <string>
+#include <thread>
+#include <vector>
+
+#include <executorch/runtime/platform/log.h>
+
+#include "LlamaRuntime.h"
+#include "Utils.h"
+
+#include "llm_helper/include/rotary_embedding.h"
+#include "llm_helper/include/token_embedding.h"
+
+namespace torch::executor {
+
+void LlamaRuntime::Initialize(
+    const LlamaModelOptions& modelOptions,
+    const LlamaModelPaths& modelPaths) {
+  mModelOptions = modelOptions;
+  const size_t numChunk = modelPaths.gen_model_paths.size();
+  const size_t numCache = 2 * modelOptions.num_layer / numChunk;
+  ET_CHECK_MSG(numChunk > 0, "No model to initialize");
+
+  // Initialize rotary embedding master lookup table
+  const size_t rotEmbDim = modelOptions.hidden_size / modelOptions.num_head;
+  mRotEmbMasterLut = std::make_unique<llm_helper::RotaryEmbeddingMasterLut>(
+      modelOptions.rot_emb_type,
+      modelOptions.max_token_length,
+      rotEmbDim,
+      modelOptions.rot_emb_base);
+  mRotEmbMasterLut->generate();
+
+  constexpr size_t numRotEmbInputs = 1;
+  const bool usePromptModel = !modelPaths.prompt_model_paths.empty();
+  const size_t initBatchSize =
+      usePromptModel ? modelOptions.prompt_token_batch_size : 1;
+  mTokenBatchSize = initBatchSize;
+
+  for (size_t chunkIdx = 0; chunkIdx < numChunk; chunkIdx++) {
+    ModelPathMap modelPathMap;
+    auto addModelPath = [&](const auto& modelPaths, const size_t batchSize) {
+      if (modelPaths.empty())
+        return;
+      modelPathMap[batchSize] = modelPaths[chunkIdx];
+    };
+    addModelPath(
+        modelPaths.prompt_model_paths, modelOptions.prompt_token_batch_size);
+    addModelPath(modelPaths.gen_model_paths, 1);
+    auto llamaChunk = std::make_unique<LlamaModelChunk>(
+        modelPathMap,
+        modelOptions,
+        initBatchSize,
+        numCache,
+        numRotEmbInputs,
+        mRotEmbMasterLut.get());
+    mLlamaModelChunks.push_back(std::move(llamaChunk));
+  }
+
+  for (size_t i = 0; i < numChunk; i++) {
+    auto& modelChunk = mLlamaModelChunks[i];
+    if (i > 0) {
+      const auto& prevModelChunk = mLlamaModelChunks[i - 1];
+      modelChunk->SetInputBuffer(prevModelChunk->GetOutputBuffer());
+    }
+    modelChunk->Initialize();
+    // modelChunk->LogIoSummary();
+  }
+
+  // NOTE: Token embedding type here is assumed to follow the model input
+  // embedding type.
+  mTokenEmbLut = std::make_unique<llm_helper::TokenEmbeddingLut>(
+      modelPaths.token_embedding_path,
+      modelOptions.model_input_type,
+      modelOptions.hidden_size);
+
+  // Link first chunk emb input to token emb lut output
+  const auto& tokenEmbInput = mLlamaModelChunks.front()->GetInputBuffer();
+  mTokenEmbLut->setOutput(tokenEmbInput.data, tokenEmbInput.nbytes);
+}
+
+void LlamaRuntime::Release() {
+  for (auto& llamaChunk : mLlamaModelChunks) {
+    llamaChunk->Release();
+  }
+  mLlamaModelChunks.clear();
+  mRotEmbMasterLut.reset();
+  mTokenEmbLut.reset();
+}
+
+void LlamaRuntime::SwapModel(const size_t batchSize) {
+  auto hotSwapChunk = [&](const auto chunkIdx) {
+    const auto status = mLlamaModelChunks[chunkIdx]->HotSwapModel(batchSize);
+    if (!status)
+      ET_LOG(Error, "Hot swapping failed on chunk %zu", chunkIdx);
+  };
+
+  // Use multi-threading to speedup model swapping
+  std::vector<std::thread> threads;
+  for (size_t i = 0; i < mLlamaModelChunks.size(); i++)
+    threads.emplace_back(hotSwapChunk, i);
+  for (size_t i = 0; i < mLlamaModelChunks.size(); i++)
+    threads[i].join();
+
+  mTokenBatchSize = batchSize;
+}
+
+void LlamaRuntime::Reset() {
+  for (auto& modelChunk : mLlamaModelChunks) {
+    static_cast<LlamaModelChunk*>(modelChunk.get())->Reset();
+  }
+  mTokenIndex = 0;
+}
+
+void* LlamaRuntime::Run(
+    const std::vector<uint64_t>& inputTokens,
+    const bool lastLogits) {
+  const auto& firstLlamaChunk = mLlamaModelChunks.front();
+  const auto tokenIndex =
+      static_cast<LlamaModelChunk*>(firstLlamaChunk.get())->GetTokenIndex();
+  const auto numNewInputToken = inputTokens.size();
+
+  ET_CHECK_MSG(
+      numNewInputToken <= mTokenBatchSize,
+      "Input token length (%zu) > model token batch size (%zu)",
+      numNewInputToken,
+      mTokenBatchSize);
+
+  // Handle padding
+  auto curInputTokens = inputTokens; // Make a copy
+  const size_t padSize = mTokenBatchSize - numNewInputToken;
+  constexpr uint64_t padToken = 0;
+
+  // Use left-padding if possible as it has lower overhead than right-padding.
+  // Right-padding involves cache shifting which incurs additional overhead.
+  const bool isLeftPadAllowed = (tokenIndex == 0);
+  if (padSize > 0) {
+    if (isLeftPadAllowed) {
+      // Pad left since the cache is fresh new.
+      curInputTokens.insert(curInputTokens.begin(), padSize, padToken);
+    } else {
+      // Pad right since left side of cache is occupied either by loaded cache
+      // or previous inference pass.
+      curInputTokens.insert(curInputTokens.end(), padSize, padToken);
+    }
+    ET_LOG(Debug, "Padding size = %zu", padSize);
+  }
+
+  // Begin inference flow
+
+  // Lookup token embedding
+  mTokenEmbLut->lookupEmbedding(curInputTokens);
+
+  // Decoder chunks
+  for (auto& modelChunk : mLlamaModelChunks) {
+    auto llamaChunk = static_cast<LlamaModelChunk*>(modelChunk.get());
+
+    // Set padding if needed.
+    if (isLeftPadAllowed)
+      llamaChunk->SetLeftPadding(padSize);
+    else
+      llamaChunk->SetRightPadding(padSize);
+
+    // Run model chunk
+    llamaChunk->Run();
+  }
+
+  // Only consider valid tokens by ignoring padding
+  mTokenIndex += inputTokens.size();
+
+  // Return logits
+  const auto& finalChunk = mLlamaModelChunks.back();
+  const auto logitsBuffer = finalChunk->GetOutputBuffer();
+  const auto logitsData = reinterpret_cast<char*>(logitsBuffer.data);
+  const auto logitsSize = logitsBuffer.nbytesUsed;
+  size_t offset = 0;
+  const size_t rightPadSize = !isLeftPadAllowed * padSize;
+  if (lastLogits && mTokenBatchSize > 1) {
+    offset =
+        (logitsSize / mTokenBatchSize) * (mTokenBatchSize - 1 - rightPadSize);
+    ET_DCHECK(offset <= logitsSize);
+  }
+  return logitsData + offset;
+}
+
+size_t LlamaRuntime::GetTokenBatchSize() const {
+  return mTokenBatchSize;
+}
+
+size_t LlamaRuntime::GetTokenIndex() const {
+  return mTokenIndex;
+}
+
+const LlamaModelOptions& LlamaRuntime::GetModelOptions() const {
+  return mModelOptions;
+}
+
+} // namespace torch::executor
\ No newline at end of file
diff --git a/examples/mediatek/executor_runner/llama_runner/LlamaRuntime.h b/examples/mediatek/executor_runner/llama_runner/LlamaRuntime.h
new file mode 100644
index 0000000000..d788e73dca
--- /dev/null
+++ b/examples/mediatek/executor_runner/llama_runner/LlamaRuntime.h
@@ -0,0 +1,59 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#pragma once
+
+#include <string>
+#include <vector>
+
+#include <executorch/runtime/platform/log.h>
+
+#include "LlamaConfig.h"
+#include "LlamaModelChunk.h"
+#include "llm_helper/include/llm_types.h"
+
+#include "llm_helper/include/rotary_embedding.h"
+#include "llm_helper/include/token_embedding.h"
+
+namespace torch::executor {
+
+class LlamaRuntime {
+ public:
+  explicit LlamaRuntime() {}
+  ~LlamaRuntime() {}
+
+  void Initialize(
+      const LlamaModelOptions& modelOptions,
+      const LlamaModelPaths& modelPaths);
+
+  void Release();
+
+  void SwapModel(const size_t batchSize);
+
+  void* Run(
+      const std::vector<uint64_t>& inputTokens,
+      const bool lastLogits = true);
+
+  void Reset();
+
+  size_t GetTokenBatchSize() const;
+
+  size_t GetTokenIndex() const;
+
+  const LlamaModelOptions& GetModelOptions() const;
+
+ private:
+  LlamaModelOptions mModelOptions;
+  std::vector<std::unique_ptr<ModelChunk>> mLlamaModelChunks;
+  std::unique_ptr<llm_helper::TokenEmbeddingLut> mTokenEmbLut;
+  std::unique_ptr<llm_helper::RotaryEmbeddingMasterLut> mRotEmbMasterLut;
+  size_t mTokenBatchSize = 1;
+  size_t mTokenIndex = 0;
+};
+
+} // namespace torch::executor
\ No newline at end of file
diff --git a/examples/mediatek/executor_runner/llama_runner/ModelChunk.cpp b/examples/mediatek/executor_runner/llama_runner/ModelChunk.cpp
new file mode 100644
index 0000000000..b09e2c5876
--- /dev/null
+++ b/examples/mediatek/executor_runner/llama_runner/ModelChunk.cpp
@@ -0,0 +1,575 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#include "ModelChunk.h"
+
+#include <sstream>
+
+#include "executorch/backends/mediatek/runtime/include/NeuronBufferAllocator.h"
+
+#include <executorch/extension/data_loader/file_data_loader.h>
+#include <executorch/extension/evalue_util/print_evalue.h>
+#include <executorch/runtime/executor/method.h>
+#include <executorch/runtime/executor/program.h>
+#include <executorch/runtime/platform/log.h>
+#include <executorch/runtime/platform/profiler.h>
+#include <executorch/runtime/platform/runtime.h>
+
+#define ENSURE_INIT \
+  ET_CHECK_MSG(Initialized(), "Error: Model chunk not initialized.");
+
+namespace torch::executor {
+
+using util::FileDataLoader;
+
+static constexpr size_t kMethodAllocatorPoolSize = 4 * 1024U * 1024U; // 4MB
+
+// ExecuTorch model instance
+// The member ordering affects the order of destruction.
+struct ModelInstance {
+  std::unique_ptr<Program> program;
+
+  std::vector<std::unique_ptr<uint8_t[]>> planned_buffers;
+  std::vector<Span<uint8_t>> planned_spans;
+
+  std::vector<uint8_t> method_allocator_pool;
+  std::unique_ptr<MemoryAllocator> method_allocator;
+  std::unique_ptr<HierarchicalAllocator> planned_memory;
+  std::unique_ptr<MemoryManager> memory_manager;
+
+  std::unique_ptr<Method> method;
+};
+
+void ModelChunk::Initialize() {
+  LoadModels();
+  GetModelIoInfo();
+  AllocateIoBuffers();
+  SetBackendInputs();
+  SetBackendOutputs();
+  mIsInitialized = true;
+}
+
+bool ModelChunk::Initialized() {
+  return mIsInitialized;
+}
+
+void ModelChunk::Release() {
+  ENSURE_INIT
+  ReleaseModels();
+  ReleaseIoBuffers();
+}
+
+void ModelChunk::Run() {
+  ENSURE_INIT
+  auto beforeExec = std::chrono::high_resolution_clock::now();
+  Error status = Error::Ok;
+  status = GetModelMethod().execute();
+  auto afterExec = std::chrono::high_resolution_clock::now();
+  const double elapsedTime =
+      std::chrono::duration_cast<std::chrono::microseconds>(
+          afterExec - beforeExec)
+          .count();
+  ET_LOG(Debug, "Inference took %f ms", elapsedTime / 1000.0);
+  ET_CHECK_MSG(
+      status == Error::Ok,
+      "Execution of method failed with status 0x%" PRIx32,
+      status);
+  ET_LOG(Debug, "Model executed successfully.");
+}
+
+bool ModelChunk::HotSwapModel(const size_t tokenBatchSize) {
+  ENSURE_INIT
+  // Save old values
+  const auto oldInstanceBatchSize = GetModelId();
+  const auto oldTokenBatchSize = mTokenBatchSize;
+
+  if (!HasModel(tokenBatchSize)) {
+    ET_LOG(
+        Error,
+        "Model swap: No model with batchSize=%zu is available",
+        tokenBatchSize);
+    return false;
+  }
+
+  if (oldInstanceBatchSize == tokenBatchSize) {
+    ET_LOG(Info, "Model swapping to itself");
+    return true;
+  }
+
+  SelectModel(tokenBatchSize);
+
+  const auto newInstanceBatchSize = GetModelId();
+  if (oldInstanceBatchSize == newInstanceBatchSize) {
+    ET_LOG(
+        Error,
+        "Failed to switch to model with batchSize=%zu. Model currently remain at batchSize=%zu",
+        tokenBatchSize,
+        oldTokenBatchSize);
+    return false;
+  }
+
+  // Update model variables
+  // Mask length = cache size (length) + num input token (token batch size)
+  mTokenBatchSize = tokenBatchSize;
+
+  UpdateModelIoInfo();
+  SetBackendInputs();
+  SetBackendOutputs();
+  return true;
+}
+
+void ModelChunk::SetInputBuffer(
+    const void* data,
+    const size_t size,
+    const size_t index) {
+  ENSURE_INIT
+  auto& targetBufInfo = mInputBufferInfos[index];
+  ET_CHECK_MSG(
+      targetBufInfo.nbytes >= size,
+      "Error: Input[%zu] has only allocated %zu but need to set input with size %zu",
+      index,
+      targetBufInfo.nbytes,
+      size);
+  std::memcpy(targetBufInfo.data, data, size);
+}
+
+void ModelChunk::SetInputBuffer(
+    const BufferInfo& bufferInfo,
+    const size_t index) {
+  // Allow calling this method without initialized first to assign preallocated
+  // buffers.
+  if (index >= mInputBufferInfos.size()) {
+    mInputBufferInfos.resize(index + 1);
+  }
+  // If the existing buffer has been allocated, memory copy the content.
+  // Otherwise, share the input buffer info.
+  auto& targetBufInfo = mInputBufferInfos[index];
+  if (targetBufInfo.data != nullptr) {
+    // Already allocated, do memcpy.
+    SetInputBuffer(bufferInfo.data, bufferInfo.nbytesUsed, index);
+  } else {
+    // Share the buffer info.
+    targetBufInfo = bufferInfo;
+  }
+}
+
+BufferInfo ModelChunk::GetInputBuffer(const size_t index) {
+  ENSURE_INIT
+  ET_CHECK_MSG(
+      index < mInputBufferInfos.size(),
+      "Error: Index out of range: %zu",
+      index);
+  return mInputBufferInfos[index];
+}
+
+BufferInfo ModelChunk::GetOutputBuffer(const size_t index) {
+  ENSURE_INIT
+  ET_CHECK_MSG(
+      index < mOutputBufferInfos.size(),
+      "Error: Index out of range: %zu",
+      index);
+  return mOutputBufferInfos[index];
+}
+
+void ModelChunk::LogIoSummary() {
+  ENSURE_INIT
+  const auto& method = GetModelMethod();
+  const auto method_meta = method.method_meta();
+
+  auto getShapeStr = [](const auto shape) {
+    std::ostringstream ss;
+    ss << "(";
+    for (size_t i = 0; i < shape.size(); i++) {
+      ss << shape[i];
+      if (i < shape.size() - 1)
+        ss << ", ";
+    }
+    ss << ")";
+    return ss.str();
+  };
+
+  ET_LOG(Info, "Model Chunk IO Summary:");
+
+  const size_t input_size = method.inputs_size();
+  const size_t output_size = method.outputs_size();
+
+  for (size_t i = 0; i < input_size; i++) {
+    if (*method_meta.input_tag(i) != Tag::Tensor) {
+      ET_LOG(Info, "  Input %zu: Non-Tensor", i);
+      continue;
+    }
+    const auto nbytes = method_meta.input_tensor_meta(i)->nbytes();
+    const auto shape = getShapeStr(method_meta.input_tensor_meta(i)->sizes());
+    const auto type =
+        static_cast<int>(method_meta.input_tensor_meta(i)->scalar_type());
+    ET_LOG(
+        Info,
+        "  Input %zu: Shape: %s, Size: %zu bytes, Type: %d",
+        i,
+        shape.c_str(),
+        nbytes,
+        type);
+  }
+
+  for (size_t i = 0; i < output_size; i++) {
+    if (*method_meta.output_tag(i) != Tag::Tensor) {
+      ET_LOG(Info, "  Output %zu: Non-Tensor", i);
+      continue;
+    }
+    const auto nbytes = method_meta.output_tensor_meta(i)->nbytes();
+    const auto shape = getShapeStr(method_meta.output_tensor_meta(i)->sizes());
+    const auto type =
+        static_cast<int>(method_meta.output_tensor_meta(i)->scalar_type());
+    ET_LOG(
+        Info,
+        "  Output %zu: Shape: %s, Size: %zu bytes, Type: %d",
+        i,
+        shape.c_str(),
+        nbytes,
+        type);
+  }
+}
+
+void ModelChunk::GetModelIoInfo() {
+  const auto& method = GetModelMethod();
+  const auto method_meta = method.method_meta();
+
+  const size_t input_size = method.inputs_size();
+  const size_t output_size = method.outputs_size();
+
+  mInputBufferInfos.resize(input_size);
+  for (size_t i = 0; i < input_size; i++) {
+    if (*method_meta.input_tag(i) != Tag::Tensor) {
+      ET_LOG(Info, "Input %zu is not a tensor, skipping", i);
+      continue;
+    }
+    auto& bufInfo = mInputBufferInfos[i];
+    const auto nbytes = method_meta.input_tensor_meta(i)->nbytes();
+    if (bufInfo.data != nullptr) {
+      // Already preallocated, so just update the size used by the model.
+      ET_CHECK_MSG(
+          bufInfo.nbytes >= nbytes,
+          "Error: Model input[%zu] requires size=%zu but only preallocated size=%zu",
+          i,
+          nbytes,
+          bufInfo.nbytes);
+      bufInfo.nbytesUsed = nbytes;
+      continue;
+    }
+    bufInfo.nbytes = nbytes;
+    bufInfo.nbytesUsed = nbytes;
+  }
+
+  mOutputBufferInfos.resize(output_size);
+  for (size_t i = 0; i < output_size; i++) {
+    if (*method_meta.output_tag(i) != Tag::Tensor) {
+      ET_LOG(Info, "Output %zu is not a tensor, skipping", i);
+      continue;
+    }
+    auto& bufInfo = mOutputBufferInfos[i];
+    const auto nbytes = method_meta.output_tensor_meta(i)->nbytes();
+    if (bufInfo.data != nullptr) {
+      // Already preallocated, so just update the size used by model.
+      ET_CHECK_MSG(
+          bufInfo.nbytes >= nbytes,
+          "Error: Model output[%zu] requires size of %zu but only preallocated size of %zu",
+          i,
+          nbytes,
+          bufInfo.nbytes);
+      bufInfo.nbytesUsed = nbytes;
+      continue;
+    }
+    bufInfo.nbytes = nbytes;
+    bufInfo.nbytesUsed = nbytes;
+  }
+}
+
+// Update actual used IO sizes by the model
+void ModelChunk::UpdateModelIoInfo() {
+  const auto& method = GetModelMethod();
+  const auto method_meta = method.method_meta();
+
+  const size_t numModelInputs = method.inputs_size();
+  const size_t numModelOutputs = method.outputs_size();
+
+  const size_t numInputBuffers = mInputBufferInfos.size();
+  const size_t numOutputBuffers = mOutputBufferInfos.size();
+
+  if (numInputBuffers != numModelInputs) {
+    ET_LOG(
+        Info,
+        "Existing num inputs (%zu) != new num inputs (%zu)",
+        numInputBuffers,
+        numModelInputs);
+  }
+  if (numOutputBuffers != numModelOutputs) {
+    ET_LOG(
+        Info,
+        "Existing num outputs (%zu) != new num outputs (%zu)",
+        numOutputBuffers,
+        numModelOutputs);
+  }
+  mInputBufferInfos.resize(numModelInputs);
+  for (size_t inputIdx = 0; inputIdx < numModelInputs; inputIdx++) {
+    auto& sizeAllocated = mInputBufferInfos[inputIdx].nbytes;
+    auto& sizeRequired = mInputBufferInfos[inputIdx].nbytesUsed;
+    const auto before = sizeRequired;
+
+    // Update
+    sizeRequired = method_meta.input_tensor_meta(inputIdx)->nbytes();
+    if (sizeAllocated < sizeRequired) {
+      ET_LOG(
+          Error,
+          "Insufficient buffer size for input[%zu]. Requires %zu but only allocated %zu",
+          inputIdx,
+          sizeRequired,
+          sizeAllocated);
+    }
+    if (before != sizeRequired) {
+      ET_LOG(
+          Debug,
+          "Update input[%zu] size:  %zu -> %zu",
+          inputIdx,
+          before,
+          sizeRequired);
+    }
+  }
+  mOutputBufferInfos.resize(numModelOutputs);
+  for (size_t outputIdx = 0; outputIdx < numModelOutputs; outputIdx++) {
+    auto& sizeAllocated = mOutputBufferInfos[outputIdx].nbytes;
+    auto& sizeRequired = mOutputBufferInfos[outputIdx].nbytesUsed;
+    const auto before = sizeRequired;
+
+    // Update
+    sizeRequired = method_meta.output_tensor_meta(outputIdx)->nbytes();
+    if (sizeAllocated < sizeRequired) {
+      ET_LOG(
+          Error,
+          "Insufficient buffer size for output[%zu]. Requires %zu but only allocated %zu",
+          outputIdx,
+          sizeRequired,
+          sizeAllocated);
+    }
+    if (before != sizeRequired) {
+      ET_LOG(
+          Debug,
+          "Update output[%zu] size:  %zu -> %zu",
+          outputIdx,
+          before,
+          sizeRequired);
+    }
+  }
+}
+
+void ModelChunk::LinkModelIO(
+    const size_t inputIndex,
+    const size_t outputIndex) {
+  mModelOutToInIndexLinks.emplace(outputIndex, inputIndex);
+}
+
+std::optional<size_t> ModelChunk::GetLinkedInputIndex(
+    const size_t outputIndex) const {
+  auto hasKey = [](const auto& map, const auto& key) {
+    return map.find(key) != map.end();
+  };
+  if (hasKey(mModelOutToInIndexLinks, outputIndex))
+    return mModelOutToInIndexLinks.at(outputIndex);
+  else
+    return std::nullopt;
+}
+
+void ModelChunk::SetBackendInputs() {
+  auto& method = GetModelMethod();
+  const auto method_meta = method.method_meta();
+  const size_t input_size = method.inputs_size();
+  for (size_t i = 0; i < input_size; i++) {
+    const auto tensor_meta = method_meta.input_tensor_meta(i);
+    auto scalar_type = tensor_meta->scalar_type();
+    auto sizes_raw = tensor_meta->sizes();
+    auto dim = sizes_raw.size();
+    auto dim_order_raw = tensor_meta->dim_order();
+    std::vector sizes(sizes_raw.begin(), sizes_raw.end());
+    std::vector dim_order(dim_order_raw.begin(), dim_order_raw.end());
+    auto buffer_data = mInputBufferInfos[i].data;
+
+    TensorImpl impl = TensorImpl(
+        scalar_type, dim, sizes.data(), buffer_data, dim_order.data());
+    Tensor tensor(&impl);
+    const auto error = method.set_input(tensor, i);
+    ET_CHECK_MSG(
+        error == Error::Ok,
+        "Error: 0x%" PRIx32 " setting input %zu.",
+        error,
+        i);
+  }
+}
+
+void ModelChunk::SetBackendOutputs() {
+  auto& method = GetModelMethod();
+  for (size_t i = 0; i < mOutputBufferInfos.size(); i++) {
+    auto data = mOutputBufferInfos[i].data;
+    const auto nbytes = mOutputBufferInfos[i].nbytes;
+    const auto output_err = method.set_output_data_ptr(data, nbytes, i);
+    ET_CHECK_MSG(
+        output_err == Error::Ok,
+        "Error: 0x%" PRIx32 " setting output %zu.",
+        output_err,
+        i);
+  }
+}
+
+void ModelChunk::AllocateIoBuffers() {
+  auto& buffer_allocator = GET_NEURON_ALLOCATOR;
+
+  // Inputs
+  for (auto& inBufInfo : mInputBufferInfos) {
+    if (inBufInfo.data != nullptr) {
+      continue; // Already allocated
+    }
+    void* ahwb_data = buffer_allocator.Allocate(inBufInfo.nbytes);
+    inBufInfo.data = ahwb_data;
+  }
+
+  // Outputs
+  const auto numOutputBuffers = mOutputBufferInfos.size();
+  for (size_t outputIdx = 0; outputIdx < numOutputBuffers; outputIdx++) {
+    auto& outBufInfo = mOutputBufferInfos[outputIdx];
+    if (outBufInfo.data != nullptr) {
+      continue; // Already allocated
+    }
+    const auto linkedInputIdx = GetLinkedInputIndex(outputIdx);
+    if (linkedInputIdx) {
+      const auto& linkedInBufInfo = mInputBufferInfos[*linkedInputIdx];
+      // Ensure the linked IO sizes match, then reuse the linked input buffer
+      ET_CHECK_MSG(
+          outBufInfo.nbytes == linkedInBufInfo.nbytes,
+          "Error: Mismatch sizes between linked IO. "
+          "Input %zu size is %zu, but Output %zu size is %zu.",
+          *linkedInputIdx,
+          linkedInBufInfo.nbytes,
+          outputIdx,
+          outBufInfo.nbytes);
+      outBufInfo = linkedInBufInfo;
+      continue;
+    }
+    // Allocate output buffer as usual
+    void* ahwb_data = buffer_allocator.Allocate(outBufInfo.nbytes);
+    outBufInfo.data = ahwb_data;
+  }
+}
+
+void ModelChunk::ReleaseIoBuffers() {
+  auto& buffer_allocator = GET_NEURON_ALLOCATOR;
+
+  for (size_t i = 0; i < mInputBufferInfos.size(); i++)
+    buffer_allocator.RemoveBuffer(mInputBufferInfos[i].data);
+
+  for (size_t i = 0; i < mOutputBufferInfos.size(); i++)
+    buffer_allocator.RemoveBuffer(mOutputBufferInfos[i].data);
+}
+
+Method& ModelChunk::GetModelMethod() {
+  auto modelInstance = reinterpret_cast<ModelInstance*>(GetModelInstance());
+  return *(modelInstance->method);
+}
+
+// Override the virtual functions
+void* ModelChunk::CreateModelInstance(const std::string& modelPath) {
+  auto modelInstance = new ModelInstance;
+
+  // Create a loader to get the data of the program file. There are other
+  // DataLoaders that use mmap() or point to data that's already in memory, and
+  // users can create their own DataLoaders to load from arbitrary sources.
+  Result<FileDataLoader> loader = FileDataLoader::from(modelPath.c_str());
+  ET_CHECK_MSG(
+      loader.ok(), "FileDataLoader::from() failed: 0x%" PRIx32, loader.error());
+
+  // Parse the program file. This is immutable, and can also be reused between
+  // multiple execution invocations across multiple threads.
+  Result<Program> program_loaded = Program::load(&loader.get());
+  if (!program_loaded.ok()) {
+    ET_LOG(Error, "Failed to parse model file %s", modelPath.c_str());
+    return nullptr;
+  }
+  ET_LOG(Debug, "Model file %s is loaded.", modelPath.c_str());
+
+  // Extract program out to a persistent storage before calling any of its
+  // methods.
+  modelInstance->program =
+      std::make_unique<Program>(std::move(program_loaded.get()));
+  auto& program = modelInstance->program;
+
+  // Use the first method in the program.
+  const char* method_name = nullptr;
+  {
+    const auto method_name_result = program->get_method_name(0);
+    ET_CHECK_MSG(method_name_result.ok(), "Program has no methods");
+    method_name = *method_name_result;
+  }
+  ET_LOG(Debug, "Using method %s", method_name);
+
+  // MethodMeta describes the memory requirements of the method.
+  Result<MethodMeta> method_meta = program->method_meta(method_name);
+  ET_CHECK_MSG(
+      method_meta.ok(),
+      "Failed to get method_meta for %s: 0x%x",
+      method_name,
+      (unsigned int)method_meta.error());
+
+  modelInstance->method_allocator_pool.resize(kMethodAllocatorPoolSize);
+  modelInstance->method_allocator = std::make_unique<MemoryAllocator>(
+      kMethodAllocatorPoolSize, modelInstance->method_allocator_pool.data());
+  auto& method_allocator = modelInstance->method_allocator;
+  method_allocator->enable_profiling("method allocator");
+
+  auto& planned_buffers = modelInstance->planned_buffers; // Owns the memory
+  auto& planned_spans = modelInstance->planned_spans; // Passed to the allocator
+
+  size_t num_memory_planned_buffers = method_meta->num_memory_planned_buffers();
+  for (size_t id = 0; id < num_memory_planned_buffers; ++id) {
+    // .get() will always succeed because id < num_memory_planned_buffers.
+    size_t buffer_size =
+        static_cast<size_t>(method_meta->memory_planned_buffer_size(id).get());
+    ET_LOG(Debug, "Setting up planned buffer %zu, size %zu.", id, buffer_size);
+    planned_buffers.push_back(std::make_unique<uint8_t[]>(buffer_size));
+    planned_spans.push_back({planned_buffers.back().get(), buffer_size});
+  }
+  modelInstance->planned_memory = std::make_unique<HierarchicalAllocator>(
+      Span<Span<uint8_t>>{planned_spans.data(), planned_spans.size()});
+  auto& planned_memory = modelInstance->planned_memory;
+
+  // Assemble all of the allocators into the MemoryManager that the Executor
+  // will use.
+  auto& neuron_allocator = GET_NEURON_ALLOCATOR;
+  modelInstance->memory_manager = std::make_unique<MemoryManager>(
+      method_allocator.get(),
+      planned_memory.get(),
+      dynamic_cast<MemoryAllocator*>(&neuron_allocator));
+  auto& memory_manager = modelInstance->memory_manager;
+
+  ET_LOG(Debug, "Begin loading method %s", method_name);
+  Result<Method> method =
+      program->load_method(method_name, memory_manager.get());
+  ET_CHECK_MSG(
+      method.ok(),
+      "Loading of method %s failed with status 0x%" PRIx32,
+      method_name,
+      method.error());
+  ET_LOG(Debug, "Method loaded.");
+
+  modelInstance->method = std::make_unique<Method>(std::move(method.get()));
+  return modelInstance;
+}
+
+void ModelChunk::ReleaseModelInstance(void* modelInstance) {
+  if (modelInstance != nullptr) {
+    delete reinterpret_cast<ModelInstance*>(modelInstance);
+  }
+}
+
+} // namespace torch::executor
diff --git a/examples/mediatek/executor_runner/llama_runner/ModelChunk.h b/examples/mediatek/executor_runner/llama_runner/ModelChunk.h
new file mode 100644
index 0000000000..988747e47e
--- /dev/null
+++ b/examples/mediatek/executor_runner/llama_runner/ModelChunk.h
@@ -0,0 +1,122 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#pragma once
+
+#include <optional>
+#include <string>
+#include <vector>
+
+#include <executorch/runtime/executor/method.h>
+
+#include "MultiModelLoader.h"
+
+namespace torch::executor {
+
+struct BufferInfo {
+  void* data = nullptr;
+  size_t nbytes = 0;
+  size_t nbytesUsed = 0;
+};
+
+using MultiTokenSizeModelLoader = MultiModelLoader<size_t>;
+using ModelPathMap = MultiTokenSizeModelLoader::ModelPathMap;
+
+class ModelChunk : protected MultiTokenSizeModelLoader {
+ public:
+  explicit ModelChunk(
+      const ModelPathMap& modelPathMap,
+      const size_t initBatchSize = 1)
+      : MultiTokenSizeModelLoader(modelPathMap, initBatchSize),
+        mTokenBatchSize(initBatchSize) {}
+
+  explicit ModelChunk(
+      const std::string& modelPath,
+      const size_t initBatchSize = 1)
+      : MultiTokenSizeModelLoader(modelPath, initBatchSize),
+        mTokenBatchSize(initBatchSize) {}
+
+  ~ModelChunk() {}
+
+  virtual void Initialize();
+
+  virtual void Release();
+
+  virtual void Run();
+
+  virtual bool HotSwapModel(const size_t tokenBatchSize);
+
+  void
+  SetInputBuffer(const void* data, const size_t size, const size_t index = 0);
+
+  void SetInputBuffer(const BufferInfo& bufferInfo, const size_t index = 0);
+
+  BufferInfo GetInputBuffer(const size_t index = 0);
+
+  BufferInfo GetOutputBuffer(const size_t index = 0);
+
+  void LogIoSummary();
+
+ protected:
+  // Check if model chunk has been initialized
+  bool Initialized();
+
+  // Get model IO info after model has been loaded
+  void GetModelIoInfo();
+
+  // Update IO sizes actually used by the model
+  void UpdateModelIoInfo();
+
+  // Model IO linkage to share the same buffer among a pair of linked input and
+  // output
+  void LinkModelIO(const size_t inputIndex, const size_t outputIndex);
+
+  // Return the input index that the given output should share the same buffer
+  std::optional<size_t> GetLinkedInputIndex(const size_t outputIndex) const;
+
+  // Assign input buffers to model inputs using backend APIs
+  void SetBackendInputs();
+
+  // Assign output buffers to model outputs using backend APIs
+  void SetBackendOutputs();
+
+  // Allocate buffers for model IOs
+  void AllocateIoBuffers();
+
+  // Release allocated buffers for model IOs
+  void ReleaseIoBuffers();
+
+  Method& GetModelMethod();
+
+ private:
+  // Override the virtual functions
+  void* CreateModelInstance(const std::string& modelPath) override;
+
+  void ReleaseModelInstance(void* modelInstance) override;
+
+ private:
+  bool AllowModelsCoexist() const override {
+    return false;
+  }
+
+ protected:
+  // State of initialization
+  bool mIsInitialized = false;
+
+  // The number of input tokens the the fixed-shape model takes
+  size_t mTokenBatchSize = 1;
+
+  // Input/Output buffers info
+  std::vector<BufferInfo> mInputBufferInfos;
+  std::vector<BufferInfo> mOutputBufferInfos;
+
+  // Model IO linkage, where linked IO will share the same buffer
+  std::unordered_map<size_t, size_t> mModelOutToInIndexLinks;
+};
+
+} // namespace torch::executor
\ No newline at end of file
diff --git a/examples/mediatek/executor_runner/llama_runner/MultiModelLoader.cpp b/examples/mediatek/executor_runner/llama_runner/MultiModelLoader.cpp
new file mode 100644
index 0000000000..e0479110a7
--- /dev/null
+++ b/examples/mediatek/executor_runner/llama_runner/MultiModelLoader.cpp
@@ -0,0 +1,177 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#include <executorch/runtime/platform/assert.h>
+#include <executorch/runtime/platform/log.h>
+
+#include "MultiModelLoader.h"
+
+#include <sstream>
+#include <string>
+#include <unordered_map>
+#include <vector>
+
+namespace torch::executor {
+
+template <typename IdType>
+void MultiModelLoader<IdType>::LoadModels() {
+  // Init empty model instance map
+  for (const auto& [id, _] : mModelPathMap) {
+    ET_CHECK_MSG(
+        !HasModel(id),
+        "Model is already initialized before calling LoadModels.");
+    mModelInstanceMap[id] = nullptr;
+  }
+  const size_t numModels = mModelPathMap.size();
+  if (!AllowModelsCoexist()) {
+    SelectModel(mDefaultModelId);
+    ET_CHECK_MSG(
+        GetModelInstance() == nullptr,
+        "Model is already initialized before calling LoadModels.");
+    void* instance = CreateModelInstance(mModelPathMap[mDefaultModelId]);
+    SetModelInstance(instance);
+    ET_LOG(
+        Debug,
+        "LoadModels(): Loaded single exclusive model (Total=%zu)",
+        numModels);
+    return;
+  }
+  for (const auto& [id, modelPath] : mModelPathMap) {
+    SelectModel(id);
+    ET_CHECK_MSG(
+        GetModelInstance() == nullptr,
+        "Model is already initialized before calling LoadModels.");
+    void* instance = CreateModelInstance(modelPath);
+    SetModelInstance(instance);
+  }
+  SelectModel(mDefaultModelId); // Select the default instance
+  ET_LOG(Debug, "LoadModels(): Loaded multiple models (Total=%zu)", numModels);
+}
+
+template <typename IdType>
+void MultiModelLoader<IdType>::ReleaseModels() {
+  if (!AllowModelsCoexist()) {
+    // Select the current instance
+    ReleaseModelInstance(GetModelInstance());
+    SetModelInstance(nullptr);
+    return;
+  }
+
+  for (const auto& [id, _] : mModelInstanceMap) {
+    SelectModel(id);
+    ReleaseModelInstance(GetModelInstance());
+    SetModelInstance(nullptr);
+  }
+}
+
+template <typename IdType>
+void* MultiModelLoader<IdType>::GetModelInstance() const {
+  ET_DCHECK_MSG(
+      HasModel(mCurrentModelId),
+      "Invalid id: %s",
+      GetIdString(mCurrentModelId).c_str());
+  return mModelInstanceMap.at(mCurrentModelId);
+}
+
+template <typename IdType>
+void MultiModelLoader<IdType>::SetModelInstance(void* instance) {
+  ET_DCHECK_MSG(
+      HasModel(mCurrentModelId),
+      "Invalid id: %s",
+      GetIdString(mCurrentModelId).c_str());
+  mModelInstanceMap[mCurrentModelId] = instance;
+}
+
+template <typename IdType>
+void MultiModelLoader<IdType>::SetDefaultModelId(const IdType& id) {
+  mDefaultModelId = id;
+}
+
+template <typename IdType>
+IdType MultiModelLoader<IdType>::GetModelId() const {
+  return mCurrentModelId;
+}
+
+template <typename IdType>
+void MultiModelLoader<IdType>::SelectModel(const IdType& id) {
+  ET_CHECK_MSG(HasModel(id), "Invalid id: %s", GetIdString(id).c_str());
+
+  if (mCurrentModelId == id) {
+    return; // Do nothing
+  } else if (AllowModelsCoexist()) {
+    mCurrentModelId = id;
+    return;
+  }
+
+  // Release current instance if already loaded
+  if (HasModel(mCurrentModelId) && GetModelInstance() != nullptr) {
+    ReleaseModelInstance(GetModelInstance());
+    SetModelInstance(nullptr);
+  }
+
+  // Load new instance
+  mCurrentModelId = id;
+  void* newInstance = CreateModelInstance(mModelPathMap[id]);
+  SetModelInstance(newInstance);
+}
+
+template <typename IdType>
+size_t MultiModelLoader<IdType>::GetNumModels() const {
+  ET_CHECK_MSG(
+      mModelInstanceMap.size() == mModelPathMap.size(),
+      "Please ensure that LoadModels() is called first.");
+  return mModelInstanceMap.size();
+}
+
+template <typename IdType>
+const std::string& MultiModelLoader<IdType>::GetModelPath() const {
+  ET_CHECK_MSG(
+      HasModel(mCurrentModelId),
+      "Invalid id: %s",
+      GetIdString(mCurrentModelId).c_str());
+  return mModelPathMap.at(mCurrentModelId);
+}
+
+template <typename IdType>
+void MultiModelLoader<IdType>::AddModel(
+    const IdType& id,
+    const std::string& modelPath) {
+  if (HasModel(id)) {
+    ET_LOG(
+        Info,
+        "Overlapping model identifier detected. Replacing existing model instance.");
+    auto& oldInstance = mModelInstanceMap[id];
+    if (oldInstance != nullptr)
+      ReleaseModelInstance(oldInstance);
+    oldInstance = nullptr;
+  }
+  mModelPathMap[id] = modelPath;
+
+  // Create runtime immediately if can coexist
+  mModelInstanceMap[id] = AllowModelsCoexist()
+      ? CreateModelInstance(mModelPathMap[mDefaultModelId])
+      : nullptr;
+}
+
+template <typename IdType>
+bool MultiModelLoader<IdType>::HasModel(const IdType& id) const {
+  return mModelInstanceMap.find(id) != mModelInstanceMap.end();
+}
+
+template <typename IdType>
+std::string MultiModelLoader<IdType>::GetIdString(const IdType& id) {
+  std::ostringstream ss;
+  ss << id;
+  return ss.str();
+}
+
+// Explicit instantiation of MultiModelLoader for some integral Id types
+template class MultiModelLoader<int>;
+template class MultiModelLoader<size_t>;
+
+} // namespace torch::executor
\ No newline at end of file
diff --git a/examples/mediatek/executor_runner/llama_runner/MultiModelLoader.h b/examples/mediatek/executor_runner/llama_runner/MultiModelLoader.h
new file mode 100644
index 0000000000..49a400f447
--- /dev/null
+++ b/examples/mediatek/executor_runner/llama_runner/MultiModelLoader.h
@@ -0,0 +1,95 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#pragma once
+
+#include <string>
+#include <unordered_map>
+#include <vector>
+
+namespace torch::executor {
+
+template <typename IdType = size_t>
+class MultiModelLoader {
+ public:
+  using ModelPathMap = std::unordered_map<IdType, std::string>;
+  using ModelInstanceMap = std::unordered_map<IdType, void*>;
+
+  explicit MultiModelLoader(
+      const ModelPathMap& modelPathMap,
+      const IdType defaultModelId = {})
+      : mModelPathMap(modelPathMap),
+        mDefaultModelId(defaultModelId),
+        mCurrentModelId(defaultModelId) {}
+
+  explicit MultiModelLoader(
+      const std::string& modelPath,
+      const IdType defaultModelId = {})
+      : mModelPathMap({{defaultModelId, modelPath}}),
+        mDefaultModelId(defaultModelId),
+        mCurrentModelId(defaultModelId) {}
+
+  virtual ~MultiModelLoader() {}
+
+ protected:
+  // Initialize all models if they can coexist, otherwise initialize the default
+  // model.
+  void LoadModels();
+
+  // Release all active model instances.
+  void ReleaseModels();
+
+  // Get the current model instance.
+  void* GetModelInstance() const;
+
+  // Set the current model instance.
+  void SetModelInstance(void* modelInstance);
+
+  // Set the default active model after LoadModels() has been called.
+  void SetDefaultModelId(const IdType& id);
+
+  // Get the id of the current model instance.
+  IdType GetModelId() const;
+
+  // Select the model of given id to be active.
+  void SelectModel(const IdType& id);
+
+  // Get total number of models.
+  size_t GetNumModels() const;
+
+  // Get the model path of the current active model.
+  const std::string& GetModelPath() const;
+
+  // Add new model post initialization, and returns the model id.
+  void AddModel(const IdType& id, const std::string& modelPath);
+
+  bool HasModel(const IdType& id) const;
+
+  static std::string GetIdString(const IdType& id);
+
+ private:
+  // Create and returns a model instance given a model path. To be implemented
+  // by subclass.
+  virtual void* CreateModelInstance(const std::string& modelPath) = 0;
+
+  // Release a model instance. To be implemented by subclass.
+  virtual void ReleaseModelInstance(void* modelInstance) = 0;
+
+  // Determine whether multiple models are allowed to be alive concurrently.
+  virtual bool AllowModelsCoexist() const {
+    return false;
+  }
+
+ private:
+  ModelPathMap mModelPathMap;
+  ModelInstanceMap mModelInstanceMap;
+  IdType mDefaultModelId = 0;
+  IdType mCurrentModelId = 0;
+};
+
+} // namespace torch::executor
\ No newline at end of file
diff --git a/examples/mediatek/executor_runner/llama_runner/Utils.h b/examples/mediatek/executor_runner/llama_runner/Utils.h
new file mode 100644
index 0000000000..9aed7ec08d
--- /dev/null
+++ b/examples/mediatek/executor_runner/llama_runner/Utils.h
@@ -0,0 +1,116 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#pragma once
+
+#include "llm_helper/include/llm_types.h"
+
+#include <chrono>
+#include <fstream>
+#include <regex>
+#include <sstream>
+#include <string>
+#include <string_view>
+#include <vector>
+
+namespace torch::executor {
+namespace utils {
+
+class Timer {
+ public:
+  explicit Timer(std::function<void(double)> callback) : mCallback(callback) {}
+
+  void Start() {
+    mTimeStart = std::chrono::high_resolution_clock::now();
+  }
+
+  void End() {
+    const auto time_end = std::chrono::high_resolution_clock::now();
+    const double elapsed_time_sec =
+        std::chrono::duration_cast<std::chrono::microseconds>(
+            time_end - mTimeStart)
+            .count() /
+        1000000.0;
+    mCallback(elapsed_time_sec);
+  }
+
+ private:
+  std::chrono::high_resolution_clock::time_point mTimeStart;
+  std::function<void(double)> mCallback;
+};
+
+// Split string via a separator character
+static std::vector<std::string> split(const std::string& str, const char sep) {
+  std::vector<std::string> tokens;
+  std::ostringstream match_pattern;
+  match_pattern << "([^" << sep << "]+)";
+  const std::regex token_pattern(match_pattern.str());
+  std::smatch match;
+  auto cur = str.cbegin();
+  while (std::regex_search(cur, str.cend(), match, token_pattern)) {
+    tokens.push_back(match[0].str());
+    cur = match.suffix().first;
+  }
+  return tokens;
+}
+
+static std::string read_file(const std::string& filepath) {
+  std::ifstream file(filepath);
+  std::stringstream buffer;
+  buffer << file.rdbuf();
+  return buffer.str();
+}
+
+template <typename LogitsType>
+static uint64_t argmax(const void* logits_buffer, const size_t vocab_size) {
+  auto logits = reinterpret_cast<const LogitsType*>(logits_buffer);
+  LogitsType max = logits[0];
+  uint64_t index = 0;
+  for (size_t i = 1; i < vocab_size; i++) {
+    if (logits[i] > max) {
+      max = logits[i];
+      index = i;
+    }
+  }
+  return index;
+}
+
+static uint64_t argmax(
+    const llm_helper::LLMType logitsType,
+    const void* logits_buffer,
+    const size_t vocab_size) {
+  switch (logitsType) {
+    case llm_helper::LLMType::INT16:
+      return argmax<int16_t>(logits_buffer, vocab_size);
+    case llm_helper::LLMType::FP16:
+      return argmax<__fp16>(logits_buffer, vocab_size);
+    case llm_helper::LLMType::FP32:
+      return argmax<float>(logits_buffer, vocab_size);
+    default:
+      ET_LOG(
+          Error,
+          "Unsupported logits type for argmax: %s",
+          getLLMTypeName(logitsType));
+      return 0;
+  }
+}
+
+template <typename T>
+static std::string to_string(const std::vector<T> vec) {
+  std::ostringstream ss;
+  auto iter = vec.cbegin();
+  ss << "{" << *iter++;
+  while (iter != vec.cend()) {
+    ss << ", " << *iter++;
+  }
+  ss << "}";
+  return ss.str();
+}
+
+} // namespace utils
+} // namespace torch::executor
\ No newline at end of file
diff --git a/examples/mediatek/executor_runner/llama_runner/llm_helper/include/llm_types.h b/examples/mediatek/executor_runner/llama_runner/llm_helper/include/llm_types.h
new file mode 100644
index 0000000000..e4cb14a2c9
--- /dev/null
+++ b/examples/mediatek/executor_runner/llama_runner/llm_helper/include/llm_types.h
@@ -0,0 +1,75 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#pragma once
+
+#include <stddef.h>
+#include <strings.h>
+
+namespace torch::executor {
+namespace llm_helper {
+
+typedef enum { INT4, INT8, INT16, FP16, INT32, FP32, INVALID } LLMType;
+
+inline size_t getLLMTypeSize(const LLMType llm_type) {
+#define RETURN_LLMTYPE_SIZE(type, size) \
+  case type:                            \
+    return size;
+
+  switch (llm_type) {
+    RETURN_LLMTYPE_SIZE(INT4, 1) // min 1 byte
+    RETURN_LLMTYPE_SIZE(INT8, 1)
+    RETURN_LLMTYPE_SIZE(INT16, 2)
+    RETURN_LLMTYPE_SIZE(FP16, 2)
+    RETURN_LLMTYPE_SIZE(INT32, 4)
+    RETURN_LLMTYPE_SIZE(FP32, 4)
+    default:
+      return 0; // invalid type
+  }
+
+#undef RETURN_LLMTYPE_SIZE
+}
+
+inline LLMType getLLMTypeFromName(const char* llm_type_name) {
+#define RETURN_LLMTYPE(type)               \
+  if (!strcasecmp(llm_type_name, #type)) { \
+    return LLMType::type;                  \
+  }
+
+  RETURN_LLMTYPE(INT4)
+  RETURN_LLMTYPE(INT8)
+  RETURN_LLMTYPE(INT16)
+  RETURN_LLMTYPE(FP16)
+  RETURN_LLMTYPE(INT32)
+  RETURN_LLMTYPE(FP32)
+
+#undef RETURN_LLMTYPE
+
+  return LLMType::INVALID;
+}
+
+inline const char* getLLMTypeName(const LLMType llm_type) {
+#define RETURN_TYPENAME_STR(type) \
+  case LLMType::type:             \
+    return #type;
+
+  switch (llm_type) {
+    RETURN_TYPENAME_STR(INT4)
+    RETURN_TYPENAME_STR(INT8)
+    RETURN_TYPENAME_STR(INT16)
+    RETURN_TYPENAME_STR(FP16)
+    RETURN_TYPENAME_STR(FP32)
+    RETURN_TYPENAME_STR(INT32)
+    RETURN_TYPENAME_STR(INVALID)
+  }
+
+#undef RETURN_TYPENAME_STR
+}
+
+} // namespace llm_helper
+} // namespace torch::executor
\ No newline at end of file
diff --git a/examples/mediatek/executor_runner/llama_runner/llm_helper/include/mask_builder.h b/examples/mediatek/executor_runner/llama_runner/llm_helper/include/mask_builder.h
new file mode 100644
index 0000000000..14b40619ad
--- /dev/null
+++ b/examples/mediatek/executor_runner/llama_runner/llm_helper/include/mask_builder.h
@@ -0,0 +1,79 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#pragma once
+
+#include "llm_types.h"
+
+#include <string>
+
+namespace torch::executor {
+namespace llm_helper {
+
+class MaskBuilder {
+ public:
+  explicit MaskBuilder(
+      void* maskBuffer,
+      const size_t maskSizeBytes,
+      const LLMType maskType,
+      const size_t cacheLength);
+
+  ~MaskBuilder();
+
+  // Build mask from scratch.
+  void buildMask(const size_t tokenBatchSize, const size_t numSeenToken);
+
+  // Only set mask to true for seen tokens.
+  // Will fallback to buildMask if mask is not updatable.
+  void updateMask(
+      const size_t tokenBatchSize,
+      const size_t numSeenToken,
+      const size_t length);
+
+  void notifyLeftPadding(const size_t padLength);
+
+  void notifyRightPadding(const size_t padLength);
+
+  // Mark mask as non-updatable which forces updateMask to call buildMask.
+  void markMaskDirty();
+
+  // Update the model input mask size. Use raw byte size to account for any HW
+  // alignment.
+  void updateMaskSize(const size_t sizeBytes);
+
+ private:
+  template <typename MaskType>
+  void buildMask(const size_t tokenBatchSize, const size_t numSeenToken);
+
+  template <typename MaskType>
+  void updateMask(
+      const size_t tokenBatchSize,
+      const size_t numSeenToken,
+      const size_t length);
+
+  // Adjust mask for padded input, and returns whether mask is modified for
+  // padding. Used by buildMask/updateMask.
+  template <typename MaskType>
+  bool adjustMaskForPadding(const size_t tokenBatchSize);
+
+ private:
+  void* mMaskBuffer;
+  size_t mMaskSizeBytes;
+  const LLMType kMaskType;
+  const size_t kMaskTypeSize;
+  const size_t kCacheLength;
+
+  // Set by notifyLeftPadding/notifyRightPadding. Reset by adjustMaskForPadding.
+  size_t mLeftPadLength = 0;
+  size_t mRightPadLength = 0;
+
+  bool mIsMaskUpdatable = false;
+};
+
+} // namespace llm_helper
+} // namespace torch::executor
diff --git a/examples/mediatek/executor_runner/llama_runner/llm_helper/include/rotary_embedding.h b/examples/mediatek/executor_runner/llama_runner/llm_helper/include/rotary_embedding.h
new file mode 100644
index 0000000000..cef7ec09e2
--- /dev/null
+++ b/examples/mediatek/executor_runner/llama_runner/llm_helper/include/rotary_embedding.h
@@ -0,0 +1,80 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#pragma once
+
+#include "llm_types.h"
+
+#include <string>
+#include <vector>
+
+namespace torch::executor {
+namespace llm_helper {
+
+class RotaryEmbeddingMasterLut {
+ public:
+  RotaryEmbeddingMasterLut(
+      const LLMType rotEmbType,
+      const size_t length,
+      const size_t headDim,
+      const float rotBase = 10000.0,
+      const float ntkScale = 1.0);
+
+  virtual ~RotaryEmbeddingMasterLut() {}
+
+  void load(const std::string& sinMasterPath, const std::string& cosMasterPath);
+
+  void generate();
+
+  template <typename RotEmbType>
+  void generate();
+
+  virtual void setEmbed(
+      std::vector<void*> rotEmbedBuffers,
+      const size_t tokenIndex,
+      const size_t tokenBatchSize = 1,
+      const size_t leftPadLength = 0,
+      const size_t rightPadLength = 0) const;
+
+  // Single rot emb input with combined cos & sin
+  void setEmbed(
+      void* rotEmbedBuffer,
+      const size_t tokenIndex,
+      const size_t tokenBatchSize = 1,
+      const size_t leftPadLength = 0,
+      const size_t rightPadLength = 0) const;
+
+  // Two rot emb inputs for separated cos & sin
+  void setEmbed(
+      void* rotEmbedCosBuffer,
+      void* rotEmbedSinBuffer,
+      const size_t tokenIndex,
+      const size_t tokenBatchSize = 1,
+      const size_t leftPadLength = 0,
+      const size_t rightPadLength = 0) const;
+
+  size_t getRotEmbedSizeBytes(const size_t tokenBatchSize = 1) const;
+
+  // The rotary embedding length is and determines the largest token size the
+  // model can handle
+  size_t getRotEmbedLength() const;
+
+ private:
+  std::unique_ptr<char[]> mMasterLut; // byte flatten array
+  bool mIsReady = false;
+
+  const LLMType kType;
+  const size_t kTypeSize; // in bytes
+  const size_t kLength;
+  const size_t kHeadDim;
+  const float kRotBase = 10000.0;
+  const float kNtkScale;
+};
+
+} // namespace llm_helper
+} // namespace torch::executor
\ No newline at end of file
diff --git a/examples/mediatek/executor_runner/llama_runner/llm_helper/include/token_embedding.h b/examples/mediatek/executor_runner/llama_runner/llm_helper/include/token_embedding.h
new file mode 100644
index 0000000000..d3ed623f5f
--- /dev/null
+++ b/examples/mediatek/executor_runner/llama_runner/llm_helper/include/token_embedding.h
@@ -0,0 +1,52 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#pragma once
+
+#include "llm_types.h"
+
+#include <string>
+#include <vector>
+
+namespace torch::executor {
+
+class FileMemMapper;
+
+namespace llm_helper {
+
+class TokenEmbeddingLut {
+ public:
+  TokenEmbeddingLut(
+      const std::string& tokenEmbLutPath,
+      const LLMType tokenEmbLutType,
+      const size_t hiddenSize);
+
+  ~TokenEmbeddingLut();
+
+  void setOutput(void* buffer, const size_t size);
+
+  void lookupEmbedding(const std::vector<uint64_t>& tokens);
+
+ private:
+  // Source lookup table
+  uint8_t* mLutBuffer = nullptr;
+  const LLMType kTokenEmbLutType;
+  const size_t kTokenEmbLutTypeSize;
+  const size_t kHiddenSize;
+  const size_t kLutRowSizeBytes;
+  size_t mVocabSize;
+
+  // Output write buffer
+  uint8_t* mOutputBuffer = nullptr;
+  size_t mOutputBufferSize = 0;
+
+  std::unique_ptr<FileMemMapper> mMemMappedEmbFile;
+};
+
+} // namespace llm_helper
+} // namespace torch::executor
\ No newline at end of file
diff --git a/examples/mediatek/executor_runner/llama_runner/llm_helper/mask_builder.cpp b/examples/mediatek/executor_runner/llama_runner/llm_helper/mask_builder.cpp
new file mode 100644
index 0000000000..9a7dafb2b7
--- /dev/null
+++ b/examples/mediatek/executor_runner/llama_runner/llm_helper/mask_builder.cpp
@@ -0,0 +1,263 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#include "llm_helper/include/mask_builder.h"
+
+#include <executorch/runtime/platform/assert.h>
+#include <executorch/runtime/platform/log.h>
+
+namespace torch::executor {
+namespace llm_helper {
+
+// Define mask values for different types
+template <typename T>
+struct MaskVal;
+
+#define __DECL_MASK__(TYPE, TRUE_VAL, FALSE_VAL) \
+  template <>                                    \
+  struct MaskVal<TYPE> {                         \
+    static constexpr TYPE kTrue = TRUE_VAL;      \
+    static constexpr TYPE kFalse = FALSE_VAL;    \
+  };
+
+__DECL_MASK__(bool, true, false)
+__DECL_MASK__(int16_t, 0, -32768)
+__DECL_MASK__(__fp16, 0, -100)
+__DECL_MASK__(float, 0, -100)
+#undef __DECL_MASK__
+
+MaskBuilder::MaskBuilder(
+    void* maskBuffer,
+    const size_t maskSizeBytes,
+    const LLMType maskType,
+    const size_t cacheLength)
+    : mMaskBuffer(maskBuffer),
+      mMaskSizeBytes(maskSizeBytes),
+      kMaskType(maskType),
+      kMaskTypeSize(getLLMTypeSize(maskType)),
+      kCacheLength(cacheLength) {}
+
+MaskBuilder::~MaskBuilder() {}
+
+void MaskBuilder::updateMaskSize(const size_t sizeBytes) {
+  mMaskSizeBytes = sizeBytes;
+}
+
+void MaskBuilder::markMaskDirty() {
+  mIsMaskUpdatable = false;
+}
+
+template <typename MaskType>
+void MaskBuilder::buildMask(
+    const size_t tokenBatchSize,
+    const size_t numSeenToken) {
+  constexpr auto maskTrue = MaskVal<MaskType>::kTrue;
+  constexpr auto maskFalse = MaskVal<MaskType>::kFalse;
+  const size_t maskLength = kCacheLength + tokenBatchSize;
+
+  // The mask is a combination (concat) of input cache mask and attention mask
+  const size_t startTrueIdx =
+      kCacheLength - std::min(kCacheLength, numSeenToken);
+
+  const size_t rowSize = mMaskSizeBytes / tokenBatchSize / kMaskTypeSize;
+
+  const size_t expectedMaskSizeBytes =
+      tokenBatchSize * maskLength * kMaskTypeSize;
+  // Use '<' instead of '!=' because mMaskSizeBytes may be padded by compiler to
+  // fit HW
+  if (mMaskSizeBytes < expectedMaskSizeBytes) {
+    ET_LOG(
+        Info,
+        "Warn: Model input mask size (%zu) < mask size to be built (%zu). "
+        "Please ensure your model options are set correctly.",
+        mMaskSizeBytes,
+        expectedMaskSizeBytes);
+  }
+
+  // There are tokenBatchSize number of rows
+  for (size_t inTokIdx = 0; inTokIdx < tokenBatchSize; inTokIdx++) {
+    const auto& rowIdx = inTokIdx; // For clarity
+    auto curMaskBuffer =
+        reinterpret_cast<MaskType*>(mMaskBuffer) + rowIdx * rowSize;
+    size_t i = 0; // Buffer write index
+
+    // Set the (rectangle) input cache mask
+    while (i < startTrueIdx)
+      curMaskBuffer[i++] = maskFalse;
+    while (i < kCacheLength)
+      curMaskBuffer[i++] = maskTrue;
+
+    // Set the (triangle) attention mask
+    const size_t attnTrueCount = inTokIdx + 1;
+    for (size_t counter = 0; counter < attnTrueCount; counter++) {
+      curMaskBuffer[i++] = maskTrue;
+    }
+    // Fill the remaining with False
+    while (i < maskLength)
+      curMaskBuffer[i++] = maskFalse;
+  }
+
+  // Modify mask for padding if needed. Mask is not updatable if modified for
+  // padding.
+  mIsMaskUpdatable = !adjustMaskForPadding<MaskType>(tokenBatchSize);
+}
+
+template <typename MaskType>
+void MaskBuilder::updateMask(
+    const size_t tokenBatchSize,
+    const size_t numSeenToken,
+    const size_t length) {
+  constexpr auto maskTrue = MaskVal<MaskType>::kTrue;
+
+  if (!mIsMaskUpdatable) {
+    buildMask<MaskType>(tokenBatchSize, numSeenToken);
+    return;
+  }
+
+  // Only set True for seen token
+  const size_t trueCount = std::min(length, numSeenToken);
+  if (!trueCount) {
+    // Modify mask for padding if needed. Mask is not updatable if modified for
+    // padding.
+    mIsMaskUpdatable = !adjustMaskForPadding<MaskType>(tokenBatchSize);
+    return;
+  }
+
+  // The mask is a combination (concat) of input cache mask and attention mask
+  auto maskBuffer = reinterpret_cast<MaskType*>(mMaskBuffer);
+
+  const size_t rowSize = mMaskSizeBytes / tokenBatchSize / kMaskTypeSize;
+
+  // Only modify the left rectangle part
+  const size_t startTrueOffset =
+      kCacheLength - std::min(kCacheLength, numSeenToken);
+
+  for (size_t inTokIdx = 0; inTokIdx < tokenBatchSize; inTokIdx++) {
+    const auto& rowIdx = inTokIdx; // For clarity
+    auto curMaskBuffer = maskBuffer + rowIdx * rowSize + startTrueOffset;
+    std::fill(curMaskBuffer, curMaskBuffer + trueCount, maskTrue);
+  }
+  // Modify mask for padding if needed. Mask is not updatable if modified for
+  // padding.
+  mIsMaskUpdatable = !adjustMaskForPadding<MaskType>(tokenBatchSize);
+}
+
+void MaskBuilder::buildMask(
+    const size_t tokenBatchSize,
+    const size_t numSeenToken) {
+  switch (kMaskType) {
+    case LLMType::INT16:
+      buildMask<int16_t>(tokenBatchSize, numSeenToken);
+      return;
+    case LLMType::FP16:
+      buildMask<__fp16>(tokenBatchSize, numSeenToken);
+      return;
+    case LLMType::FP32:
+      buildMask<float>(tokenBatchSize, numSeenToken);
+      return;
+    default:
+      break;
+  }
+  ET_LOG(
+      Fatal,
+      "Attempting to build mask with type %s. Supported types are INT16, FP16, FP32.",
+      getLLMTypeName(kMaskType));
+}
+
+void MaskBuilder::updateMask(
+    const size_t tokenBatchSize,
+    const size_t numSeenToken,
+    const size_t length) {
+  switch (kMaskType) {
+    case LLMType::INT16:
+      updateMask<int16_t>(tokenBatchSize, numSeenToken, length);
+      return;
+    case LLMType::FP16:
+      updateMask<__fp16>(tokenBatchSize, numSeenToken, length);
+      return;
+    case LLMType::FP32:
+      updateMask<float>(tokenBatchSize, numSeenToken, length);
+      return;
+    default:
+      break;
+  }
+  ET_LOG(
+      Fatal,
+      "Attempting to update with an unsupported mask type. "
+      "Supported types are INT16, FP16, FP32.");
+}
+
+void MaskBuilder::notifyLeftPadding(const size_t padLength) {
+  ET_CHECK_MSG(
+      mRightPadLength == 0,
+      "Attempting to set left pad after right pad has been set.");
+  if (mLeftPadLength > 0) {
+    ET_LOG(
+        Info,
+        "Warn: Calling notifyLeftPadding() multiple times before building/updating mask.");
+  }
+  mLeftPadLength = padLength;
+}
+
+void MaskBuilder::notifyRightPadding(const size_t padLength) {
+  ET_CHECK_MSG(
+      mLeftPadLength == 0,
+      "Attempting to set right pad after left pad has been set.");
+  if (mRightPadLength > 0) {
+    ET_LOG(
+        Info,
+        "Warn: Calling notifyLeftPadding() multiple times before building/updating mask.");
+  }
+  mRightPadLength = padLength;
+}
+
+template <typename MaskType>
+bool MaskBuilder::adjustMaskForPadding(const size_t tokenBatchSize) {
+  if (mLeftPadLength + mRightPadLength == 0) {
+    return false; // No need to modify mask since no padding
+  }
+  ET_DCHECK_MSG(
+      mLeftPadLength == 0 || mRightPadLength == 0,
+      "Only allow setting either left or right pad");
+  constexpr auto maskFalse = MaskVal<MaskType>::kFalse;
+  const size_t maskLength = kCacheLength + tokenBatchSize;
+
+  // The mask is a combination (concat) of input cache mask and attention mask
+  auto maskBuffer = reinterpret_cast<MaskType*>(mMaskBuffer);
+
+  const size_t rowSize = mMaskSizeBytes / tokenBatchSize / kMaskTypeSize;
+
+  if (mLeftPadLength > 0) {
+    // Mask the padded rows
+    for (size_t inTokIdx = 0; inTokIdx < mLeftPadLength; inTokIdx++) {
+      auto curMaskBuffer = maskBuffer + inTokIdx * rowSize;
+      std::fill(curMaskBuffer, curMaskBuffer + maskLength, maskFalse);
+    }
+    // Mask the padded attention region
+    for (size_t inTokIdx = mLeftPadLength; inTokIdx < tokenBatchSize;
+         inTokIdx++) {
+      auto curMaskBuffer = maskBuffer + inTokIdx * rowSize + kCacheLength;
+      // Anything from inTokIdx + 1 onwards is already False, so can skip them.
+      const size_t maskPadCount = std::min(mLeftPadLength, inTokIdx + 1);
+      std::fill(curMaskBuffer, curMaskBuffer + maskPadCount, maskFalse);
+    }
+    mLeftPadLength = 0; // Reset pad length
+  } else if (mRightPadLength > 0) {
+    // Mask the padded rows
+    const auto startIdx = tokenBatchSize - mRightPadLength;
+    for (size_t inTokIdx = startIdx; inTokIdx < tokenBatchSize; inTokIdx++) {
+      auto curMaskBuffer = maskBuffer + inTokIdx * rowSize;
+      std::fill(curMaskBuffer, curMaskBuffer + maskLength, maskFalse);
+    }
+    mRightPadLength = 0; // Reset pad length
+  }
+  return true; // Mask is modified for padding
+}
+
+} // namespace llm_helper
+} // namespace torch::executor
\ No newline at end of file
diff --git a/examples/mediatek/executor_runner/llama_runner/llm_helper/rotary_embedding.cpp b/examples/mediatek/executor_runner/llama_runner/llm_helper/rotary_embedding.cpp
new file mode 100644
index 0000000000..9015d87549
--- /dev/null
+++ b/examples/mediatek/executor_runner/llama_runner/llm_helper/rotary_embedding.cpp
@@ -0,0 +1,397 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#include "llm_helper/include/rotary_embedding.h"
+#include "llm_helper/include/llm_types.h"
+
+#include <executorch/runtime/platform/assert.h>
+#include <executorch/runtime/platform/log.h>
+
+#include <cmath>
+#include <fstream>
+#include <type_traits>
+
+namespace torch::executor {
+namespace llm_helper {
+
+RotaryEmbeddingMasterLut::RotaryEmbeddingMasterLut(
+    const LLMType rotEmbType,
+    const size_t length,
+    const size_t headDim,
+    const float rotBase,
+    const float ntkScale)
+    : kType(rotEmbType),
+      kTypeSize(getLLMTypeSize(kType)),
+      kLength(length),
+      kHeadDim(headDim),
+      kRotBase(rotBase),
+      kNtkScale(ntkScale) {
+  // Shape: (length, 2*headDim), where 2 is sin & cos
+  mMasterLut = std::make_unique<char[]>(kLength * 2 * kHeadDim * kTypeSize);
+}
+
+void RotaryEmbeddingMasterLut::load(
+    const std::string& sinMasterPath,
+    const std::string& cosMasterPath) {
+  if (sinMasterPath.size() == 0 && cosMasterPath.size() == 0) {
+    generate();
+    return;
+  }
+
+  ET_LOG(
+      Debug,
+      "Begin loading rotary embedding lookup table from provided paths.");
+
+  std::ifstream fileCos(cosMasterPath, std::ios::binary);
+  std::ifstream fileSin(sinMasterPath, std::ios::binary);
+
+  // File paths checking
+  if (!fileCos) {
+    ET_LOG(
+        Info,
+        "Warn: Rotary embedding lookup table file not found: %s. "
+        "Will generate rotary embedding lookup table instead.",
+        cosMasterPath.c_str());
+    generate();
+    return;
+  }
+  if (!fileSin) {
+    ET_LOG(
+        Info,
+        "Warn: Rotary embedding lookup table file not found: %s. "
+        "Will generate rotary embedding lookup table instead.",
+        sinMasterPath.c_str());
+    generate();
+    return;
+  }
+
+  const auto rows = kLength;
+  const auto rowSize = 2 * kHeadDim * kTypeSize; // x2 for sin & cos
+  const size_t cosOffset = 0;
+  const size_t sinOffset =
+      rowSize / 2; // Halfway in row because each row is [<cos><sin>]
+  const auto readSize = kHeadDim * kTypeSize;
+
+  // Read lookup table files
+  for (size_t i = 0; i < rows; ++i) {
+    // Read cos then sin
+    fileCos.read(mMasterLut.get() + i * rowSize + cosOffset, readSize);
+    fileSin.read(mMasterLut.get() + i * rowSize + sinOffset, readSize);
+  }
+  mIsReady = true;
+}
+
+// For float and __fp16
+template <typename RotEmbType>
+void RotaryEmbeddingMasterLut::generate() {
+  static_assert(
+      std::is_same<RotEmbType, float>() || std::is_same<RotEmbType, __fp16>(),
+      "Only int16/fp16/fp32 are supported for RotEmbType");
+  ET_LOG(Debug, "Generating floating rotary embedding lookup table");
+
+  const auto rowSize = kHeadDim * 2; // x2 for sin & cos
+  const size_t rotDim = kHeadDim;
+  const size_t rotDimHalf = rotDim / 2;
+
+  const float rotDimFp = static_cast<float>(kHeadDim);
+  const float base = (kNtkScale == 1.0f)
+      ? kRotBase
+      : std::powf(kRotBase * kNtkScale, rotDimFp / (rotDimFp - 2.0f));
+
+  for (int pos = 0; pos < kLength; pos++) { // row in lut
+    for (int dim = 0; dim < rotDimHalf; dim++) {
+      const float freq =
+          float(pos) / std::powf(base, float(dim * 2) / rotDimFp);
+      const RotEmbType embCos = static_cast<RotEmbType>(std::cos(freq));
+      const RotEmbType embSin = static_cast<RotEmbType>(std::sin(freq));
+
+      const auto& row = pos;
+      const auto& col = dim; // At most kHeadDim / 2
+      auto masterLutCurPtr =
+          reinterpret_cast<RotEmbType*>(mMasterLut.get()) + row * rowSize + col;
+
+      // Concat Cos then Sin, and duplicate each
+      // Each row looks like this:
+      //   [<--cos--><--cos--><--sin--><--sin-->]
+      //    |        |        |        |
+      //    0    rotDimHalf   |        |
+      //                    rotDim     |
+      //                        rotDim + rotDimHalf
+      masterLutCurPtr[0] = embCos;
+      masterLutCurPtr[rotDimHalf] = embCos;
+      masterLutCurPtr[rotDim] = embSin;
+      masterLutCurPtr[rotDim + rotDimHalf] = embSin;
+    }
+  }
+  mIsReady = true;
+}
+
+// NOTE: The difference between this and the Python script generated rotary
+// embedding master lut is the rounding mechanism during quantization to INT16.
+// Python's Numpy library uses round-to-even (banker's rounding) whereas the
+// below C++ code uses round-to-nearest.
+template <>
+void RotaryEmbeddingMasterLut::generate<int16_t>() {
+  ET_LOG(Debug, "Generating int16 rotary embedding lookup table");
+
+  const auto rowSize = kHeadDim * 2; // x2 for sin & cos
+  const size_t rotDim = kHeadDim;
+  const size_t rotDimHalf = rotDim / 2;
+
+  const float rotDimFp = static_cast<float>(kHeadDim);
+  const float base = (kNtkScale == 1.0f)
+      ? kRotBase
+      : std::powf(kRotBase * kNtkScale, rotDimFp / (rotDimFp - 2.0f));
+
+  // Minmax=(-1,1), so qscale = 1/32767
+  const float qscale = 0.000030518509447574615;
+
+  auto quantFP32ToINT16 = [&](const float fpval) -> int16_t {
+    const int qmin = -32768; // -2^(outBitwidth-1)
+    const int qmax = +32767; // 2^(outBitwidth-1)-1
+    const int quantized = std::round(fpval / qscale);
+    const int clamped = std::max(qmin, std::min(quantized, qmax));
+    return clamped;
+  };
+
+  for (int pos = 0; pos < kLength; pos++) { // row in lut
+    for (int dim = 0; dim < rotDimHalf; dim++) {
+      const float freq =
+          float(pos) / std::powf(base, float(dim * 2) / rotDimFp);
+      const int16_t embCos = quantFP32ToINT16(std::cos(freq));
+      const int16_t embSin = quantFP32ToINT16(std::sin(freq));
+
+      const auto& row = pos;
+      const auto& col = dim; // At most kHeadDim / 2
+      auto masterLutCurPtr =
+          reinterpret_cast<int16_t*>(mMasterLut.get()) + row * rowSize + col;
+
+      // Concat Cos then Sin, and duplicate each
+      // Each row looks like this:
+      //   [<--cos--><--cos--><--sin--><--sin-->]
+      //    |        |        |        |
+      //    0    rotDimHalf   |        |
+      //                    rotDim     |
+      //                        rotDim + rotDimHalf
+      masterLutCurPtr[0] = embCos;
+      masterLutCurPtr[rotDimHalf] = embCos;
+      masterLutCurPtr[rotDim] = embSin;
+      masterLutCurPtr[rotDim + rotDimHalf] = embSin;
+    }
+  }
+  mIsReady = true;
+}
+
+void RotaryEmbeddingMasterLut::generate() {
+  switch (kType) {
+    case LLMType::INT16:
+      generate<int16_t>();
+      return;
+    case LLMType::FP16:
+      generate<__fp16>();
+      return;
+    case LLMType::FP32:
+      generate<float>();
+      return;
+    default:
+      break;
+  }
+  ET_LOG(
+      Fatal,
+      "Rotary embedding generator not implemented for %s",
+      getLLMTypeName(kType));
+}
+
+// RotaryEmbeddingMasterLut supports 1 or 2 rotary embedding inputs
+void RotaryEmbeddingMasterLut::setEmbed(
+    std::vector<void*> rotEmbedBuffers,
+    const size_t tokenIndex,
+    const size_t tokenBatchSize,
+    const size_t leftPadLength,
+    const size_t rightPadLength) const {
+  const auto numRotEmbInputs = rotEmbedBuffers.size();
+  switch (numRotEmbInputs) {
+    case 1: {
+      const auto rotEmbInput = rotEmbedBuffers[0];
+      setEmbed(
+          rotEmbInput,
+          tokenIndex,
+          tokenBatchSize,
+          leftPadLength,
+          rightPadLength);
+      break;
+    }
+    case 2: {
+      const auto rotEmbCosInput = rotEmbedBuffers[0];
+      const auto rotEmbSinInput = rotEmbedBuffers[1];
+      setEmbed(
+          rotEmbCosInput,
+          rotEmbSinInput,
+          tokenIndex,
+          tokenBatchSize,
+          leftPadLength,
+          rightPadLength);
+      break;
+    }
+    default:
+      ET_LOG(
+          Fatal,
+          "RotaryEmbeddingMasterLut: Unsupported number of rotary embedding inputs (%zu).",
+          numRotEmbInputs);
+  }
+}
+
+void RotaryEmbeddingMasterLut::setEmbed(
+    void* rotEmbedBuffer,
+    const size_t tokenIndex,
+    const size_t tokenBatchSize,
+    const size_t leftPadLength,
+    const size_t rightPadLength) const {
+  // Generate Master Lut if not yet done
+  if (!mIsReady) {
+    ET_LOG(
+        Error,
+        "Attempting to use the rotary embedding lookup table before being initialized.");
+    return;
+  }
+  const auto requestedMaxIndex = tokenIndex + tokenBatchSize - 1;
+  const auto availableLength = getRotEmbedLength();
+  if (requestedMaxIndex >= availableLength) {
+    ET_LOG(
+        Fatal,
+        "Requested rotary embeddings (%zu) exceeds the max available (%zu) "
+        "in the master lookup table. Please ensure that your maxTokenLength option "
+        "is set correctly",
+        requestedMaxIndex,
+        availableLength);
+  }
+  // The model takes in the rot emb as [2, tokenBatchSize, kHeadDim],
+  // but the master lut stores in [tokenIdx, 2, kHeadDim].
+  const auto rowSizeBytes = 2 * kHeadDim * kTypeSize; // cos and sin
+  const auto rowSizeBytesHalf = rowSizeBytes / 2; // one of cos or sin only
+  const auto cosOffset = 0;
+  const auto sinOffset = rowSizeBytesHalf;
+  const auto copySize = rowSizeBytesHalf;
+
+  auto curRotEmbedBuffer = reinterpret_cast<char*>(rotEmbedBuffer);
+  const auto masterLutStart = mMasterLut.get() + tokenIndex * rowSizeBytes;
+
+  ET_DCHECK(tokenBatchSize >= leftPadLength + rightPadLength);
+  const size_t numValidInputToken =
+      tokenBatchSize - leftPadLength - rightPadLength;
+
+  const auto leftPadSize = copySize * leftPadLength;
+  const auto rightPadSize = copySize * rightPadLength;
+
+  // Skip left-padding
+  curRotEmbedBuffer += leftPadSize;
+
+  // cos
+  for (size_t i = 0; i < numValidInputToken; i++) {
+    std::memcpy(
+        curRotEmbedBuffer,
+        masterLutStart + i * rowSizeBytes + cosOffset,
+        copySize);
+    curRotEmbedBuffer += copySize;
+  }
+
+  // Right pad for 'cos', and left pad for 'sin'.
+  std::memset(curRotEmbedBuffer, 0, rightPadSize);
+  curRotEmbedBuffer += leftPadSize + rightPadSize;
+
+  // sin
+  for (size_t i = 0; i < numValidInputToken; i++) {
+    std::memcpy(
+        curRotEmbedBuffer,
+        masterLutStart + i * rowSizeBytes + sinOffset,
+        copySize);
+    curRotEmbedBuffer += copySize;
+  }
+
+  // Right pad for 'sin'
+  std::memset(curRotEmbedBuffer, 0, rightPadSize);
+}
+
+void RotaryEmbeddingMasterLut::setEmbed(
+    void* rotEmbedCosBuffer,
+    void* rotEmbedSinBuffer,
+    const size_t tokenIndex,
+    const size_t tokenBatchSize,
+    const size_t leftPadLength,
+    const size_t rightPadLength) const {
+  // Generate Master Lut if not yet done
+  if (!mIsReady) {
+    ET_LOG(
+        Error,
+        "Attempting to use the rotary embedding lookup table before being initialized.");
+    return;
+  }
+  const auto requestedMaxIndex = tokenIndex + tokenBatchSize - 1;
+  const auto availableLength = getRotEmbedLength();
+  if (requestedMaxIndex >= availableLength) {
+    ET_LOG(
+        Fatal,
+        "Requested rotary embeddings (%zu) exceeds the max available (%zu) "
+        "in the master lookup table. Please ensure that your maxTokenLength option "
+        "is set correctly",
+        requestedMaxIndex,
+        availableLength);
+  }
+  // The model takes in the rot emb as [2, tokenBatchSize, kHeadDim],
+  // but the master lut stores in [tokenIdx, 2, kHeadDim].
+  const auto rowSizeBytes = 2 * kHeadDim * kTypeSize; // cos and sin
+  const auto rowSizeBytesHalf = rowSizeBytes / 2; // one of cos or sin only
+  const auto cosOffset = 0;
+  const auto sinOffset = rowSizeBytesHalf;
+  const auto copySize = rowSizeBytesHalf;
+
+  const auto masterLutStart = mMasterLut.get() + tokenIndex * rowSizeBytes;
+
+  auto curRotEmbedCosBuffer = reinterpret_cast<char*>(rotEmbedCosBuffer);
+  auto curRotEmbedSinBuffer = reinterpret_cast<char*>(rotEmbedSinBuffer);
+
+  ET_DCHECK(tokenBatchSize >= leftPadLength + rightPadLength);
+  const size_t numValidInputToken =
+      tokenBatchSize - leftPadLength - rightPadLength;
+
+  const auto leftPadSize = copySize * leftPadLength;
+  const auto rightPadSize = copySize * rightPadLength;
+
+  // Skip left-padding
+  curRotEmbedCosBuffer += leftPadSize;
+  curRotEmbedSinBuffer += leftPadSize;
+
+  for (size_t i = 0; i < numValidInputToken; i++) {
+    std::memcpy(
+        curRotEmbedCosBuffer,
+        masterLutStart + i * rowSizeBytes + cosOffset,
+        copySize);
+    std::memcpy(
+        curRotEmbedSinBuffer,
+        masterLutStart + i * rowSizeBytes + sinOffset,
+        copySize);
+    curRotEmbedCosBuffer += copySize;
+    curRotEmbedSinBuffer += copySize;
+  }
+  std::memset(curRotEmbedCosBuffer, 0, rightPadSize);
+  std::memset(curRotEmbedSinBuffer, 0, rightPadSize);
+}
+
+size_t RotaryEmbeddingMasterLut::getRotEmbedSizeBytes(
+    const size_t tokenBatchSize) const {
+  return 2 * tokenBatchSize * kHeadDim * kTypeSize;
+}
+
+// The rotary embedding length is and determines the largest token size the
+// model can handle
+size_t RotaryEmbeddingMasterLut::getRotEmbedLength() const {
+  return kLength;
+}
+
+} // namespace llm_helper
+} // namespace torch::executor
\ No newline at end of file
diff --git a/examples/mediatek/executor_runner/llama_runner/llm_helper/token_embedding.cpp b/examples/mediatek/executor_runner/llama_runner/llm_helper/token_embedding.cpp
new file mode 100644
index 0000000000..1e20cc2259
--- /dev/null
+++ b/examples/mediatek/executor_runner/llama_runner/llm_helper/token_embedding.cpp
@@ -0,0 +1,93 @@
+/*
+ * Copyright (c) 2024 MediaTek Inc.
+ *
+ * Licensed under the BSD License (the "License"); you may not use this file
+ * except in compliance with the License. See the license file in the root
+ * directory of this source tree for more details.
+ */
+
+#include "llm_helper/include/token_embedding.h"
+#include "FileMemMapper.h"
+#include "llm_helper/include/llm_types.h"
+
+#include <executorch/runtime/platform/assert.h>
+#include <executorch/runtime/platform/log.h>
+
+#include <filesystem>
+#include <fstream>
+#include <string>
+
+namespace fs = std::filesystem;
+
+namespace torch::executor {
+namespace llm_helper {
+
+TokenEmbeddingLut::TokenEmbeddingLut(
+    const std::string& tokenEmbLutPath,
+    const LLMType tokenEmbLutType,
+    const size_t hiddenSize)
+    : kTokenEmbLutType(tokenEmbLutType),
+      kTokenEmbLutTypeSize(getLLMTypeSize(tokenEmbLutType)),
+      kHiddenSize(hiddenSize),
+      kLutRowSizeBytes(kHiddenSize * kTokenEmbLutTypeSize) {
+  ET_CHECK_MSG(
+      fs::exists(tokenEmbLutPath),
+      "Token embedding lookup table file not found: %s",
+      tokenEmbLutPath.c_str());
+
+  ET_LOG(
+      Debug,
+      "Loading token embedding lookup table: %s",
+      tokenEmbLutPath.c_str());
+
+  mMemMappedEmbFile = std::make_unique<FileMemMapper>(tokenEmbLutPath);
+  mLutBuffer = mMemMappedEmbFile->getAddr<uint8_t*>();
+  const size_t lutFileSize = mMemMappedEmbFile->getSize();
+
+  mVocabSize = lutFileSize / hiddenSize / kTokenEmbLutTypeSize;
+  ET_LOG(Debug, "TokenEmbeddingLut: Vocab size = %zu", mVocabSize);
+}
+
+TokenEmbeddingLut::~TokenEmbeddingLut() {}
+
+void TokenEmbeddingLut::setOutput(void* buffer, const size_t size) {
+  mOutputBuffer = reinterpret_cast<uint8_t*>(buffer);
+  mOutputBufferSize = size;
+}
+
+void TokenEmbeddingLut::lookupEmbedding(const std::vector<uint64_t>& tokens) {
+  const auto numTokens = tokens.size();
+  const size_t requiredOutputSize =
+      numTokens * kHiddenSize * kTokenEmbLutTypeSize;
+  if (mOutputBufferSize < requiredOutputSize) {
+    ET_LOG(
+        Error,
+        "Token embedding buffer size (%zu) is insufficient to hold embedding for %zu tokens "
+        "(requires %zu).",
+        mOutputBufferSize,
+        numTokens,
+        requiredOutputSize);
+    return;
+  }
+  if (mOutputBuffer == nullptr) {
+    ET_LOG(
+        Error,
+        "TokenEmbeddingLut: Output is not yet set for embedding lookup.");
+    return;
+  }
+  size_t outputOffset = 0;
+  for (const auto token : tokens) {
+    // Copy one row from lookup table per token
+    ET_CHECK_MSG(
+        token < mVocabSize, "Token id exceeds embedding lookup table range.");
+    const auto& rowIdx = token;
+    const size_t lutOffset = rowIdx * kLutRowSizeBytes;
+    std::memcpy(
+        mOutputBuffer + outputOffset, mLutBuffer + lutOffset, kLutRowSizeBytes);
+    outputOffset += kLutRowSizeBytes;
+  }
+  return;
+}
+
+} // namespace llm_helper
+} // namespace torch::executor
\ No newline at end of file
diff --git a/examples/mediatek/executor_runner/mtk_executor_runner.cpp b/examples/mediatek/executor_runner/mtk_executor_runner.cpp
new file mode 100644
index 0000000000..a6ab4eedab
--- /dev/null
+++ b/examples/mediatek/executor_runner/mtk_executor_runner.cpp
@@ -0,0 +1,205 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * Copyright (c) 2024 MediaTek Inc.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+/**
+ * @file
+ *
+ * This tool can run ExecuTorch model files that only use operators that
+ * are covered by the portable kernels, with possible delegate to the
+ * test_backend_compiler_lib.
+ *
+ * It sets all input tensor data to ones, and assumes that the outputs are
+ * all fp32 tensors.
+ */
+
+#include <chrono>
+#include <ctime>
+#include <iostream>
+#include <memory>
+
+#include <gflags/gflags.h>
+
+#include <executorch/extension/data_loader/file_data_loader.h>
+#include <executorch/extension/evalue_util/print_evalue.h>
+#include <executorch/extension/runner_util/inputs.h>
+#include <executorch/runtime/executor/method.h>
+#include <executorch/runtime/executor/program.h>
+#include <executorch/runtime/platform/log.h>
+#include <executorch/runtime/platform/runtime.h>
+
+static uint8_t method_allocator_pool[4 * 1024U * 1024U]; // 4 MB
+
+DEFINE_string(
+    model_path,
+    "model.pte",
+    "Model serialized in flatbuffer format.");
+DEFINE_int32(iteration, 1, "Iterations of inference.");
+
+using namespace torch::executor;
+using torch::executor::util::FileDataLoader;
+
+int main(int argc, char** argv) {
+  runtime_init();
+
+  gflags::ParseCommandLineFlags(&argc, &argv, true);
+  if (argc != 1) {
+    std::string msg = "Extra commandline args:";
+    for (int i = 1 /* skip argv[0] (program name) */; i < argc; i++) {
+      msg += std::string(" ") + argv[i];
+    }
+    ET_LOG(Error, "%s", msg.c_str());
+    return 1;
+  }
+
+  // Create a loader to get the data of the program file. There are other
+  // DataLoaders that use mmap() or point to data that's already in memory, and
+  // users can create their own DataLoaders to load from arbitrary sources.
+  const char* model_path = FLAGS_model_path.c_str();
+  Result<FileDataLoader> loader = FileDataLoader::from(model_path);
+  ET_CHECK_MSG(
+      loader.ok(),
+      "FileDataLoader::from() failed: 0x%" PRIx32,
+      (uint32_t)loader.error());
+
+  // Parse the program file. This is immutable, and can also be reused between
+  // multiple execution invocations across multiple threads.
+  Result<Program> program = Program::load(&loader.get());
+  if (!program.ok()) {
+    ET_LOG(Error, "Failed to parse model file %s", model_path);
+    return 1;
+  }
+  ET_LOG(Info, "Model file %s is loaded.", model_path);
+
+  // Use the first method in the program.
+  const char* method_name = nullptr;
+  {
+    const auto method_name_result = program->get_method_name(0);
+    ET_CHECK_MSG(method_name_result.ok(), "Program has no methods");
+    method_name = *method_name_result;
+  }
+  ET_LOG(Info, "Using method %s", method_name);
+
+  // MethodMeta describes the memory requirements of the method.
+  Result<MethodMeta> method_meta = program->method_meta(method_name);
+  ET_CHECK_MSG(
+      method_meta.ok(),
+      "Failed to get method_meta for %s: 0x%" PRIx32,
+      method_name,
+      (uint32_t)method_meta.error());
+
+  //
+  // The runtime does not use malloc/new; it allocates all memory using the
+  // MemoryManger provided by the client. Clients are responsible for allocating
+  // the memory ahead of time, or providing MemoryAllocator subclasses that can
+  // do it dynamically.
+  //
+
+  // The method allocator is used to allocate all dynamic C++ metadata/objects
+  // used to represent the loaded method. This allocator is only used during
+  // loading a method of the program, which will return an error if there was
+  // not enough memory.
+  //
+  // The amount of memory required depends on the loaded method and the runtime
+  // code itself. The amount of memory here is usually determined by running the
+  // method and seeing how much memory is actually used, though it's possible to
+  // subclass MemoryAllocator so that it calls malloc() under the hood (see
+  // MallocMemoryAllocator).
+  //
+  // In this example we use a statically allocated memory pool.
+  MemoryAllocator method_allocator{
+      MemoryAllocator(sizeof(method_allocator_pool), method_allocator_pool)};
+
+  // The memory-planned buffers will back the mutable tensors used by the
+  // method. The sizes of these buffers were determined ahead of time during the
+  // memory-planning pasees.
+  //
+  // Each buffer typically corresponds to a different hardware memory bank. Most
+  // mobile environments will only have a single buffer. Some embedded
+  // environments may have more than one for, e.g., slow/large DRAM and
+  // fast/small SRAM, or for memory associated with particular cores.
+  std::vector<std::unique_ptr<uint8_t[]>> planned_buffers; // Owns the memory
+  std::vector<Span<uint8_t>> planned_spans; // Passed to the allocator
+  size_t num_memory_planned_buffers = method_meta->num_memory_planned_buffers();
+  for (size_t id = 0; id < num_memory_planned_buffers; ++id) {
+    // .get() will always succeed because id < num_memory_planned_buffers.
+    size_t buffer_size =
+        static_cast<size_t>(method_meta->memory_planned_buffer_size(id).get());
+    ET_LOG(Info, "Setting up planned buffer %zu, size %zu.", id, buffer_size);
+    planned_buffers.push_back(std::make_unique<uint8_t[]>(buffer_size));
+    planned_spans.push_back({planned_buffers.back().get(), buffer_size});
+  }
+  HierarchicalAllocator planned_memory(
+      {planned_spans.data(), planned_spans.size()});
+
+  // Assemble all of the allocators into the MemoryManager that the Executor
+  // will use.
+  MemoryManager memory_manager(&method_allocator, &planned_memory);
+
+  //
+  // Load the method from the program, using the provided allocators. Running
+  // the method can mutate the memory-planned buffers, so the method should only
+  // be used by a single thread at at time, but it can be reused.
+  //
+
+  Result<Method> method = program->load_method(method_name, &memory_manager);
+  ET_CHECK_MSG(
+      method.ok(),
+      "Loading of method %s failed with status 0x%" PRIx32,
+      method_name,
+      (uint32_t)method.error());
+  ET_LOG(Info, "Method loaded.");
+
+  // Allocate input tensors and set all of their elements to 1. The `inputs`
+  // variable owns the allocated memory and must live past the last call to
+  // `execute()`.
+  auto inputs = util::prepare_input_tensors(*method);
+  ET_CHECK_MSG(
+      inputs.ok(),
+      "Could not prepare inputs: 0x%" PRIx32,
+      (uint32_t)inputs.error());
+  ET_LOG(Info, "Inputs prepared.");
+
+  // Run the model.
+  auto before_exec = std::chrono::high_resolution_clock::now();
+  Error status = Error::Ok;
+  for (int i = 0; i < FLAGS_iteration; ++i) {
+    status = method->execute();
+  }
+  auto after_exec = std::chrono::high_resolution_clock::now();
+  double elapsed_time = std::chrono::duration_cast<std::chrono::microseconds>(
+                            after_exec - before_exec)
+                            .count() /
+      1000.0;
+
+  ET_LOG(
+      Info,
+      "%d inference took %f ms, avg %f ms",
+      FLAGS_iteration,
+      elapsed_time,
+      elapsed_time / (float)FLAGS_iteration);
+  ET_CHECK_MSG(
+      status == Error::Ok,
+      "Execution of method %s failed with status 0x%" PRIx32,
+      method_name,
+      (uint32_t)status);
+  ET_LOG(Info, "Model executed successfully.");
+
+  // Print the outputs.
+  std::vector<EValue> outputs(method->outputs_size());
+  ET_LOG(Info, "%zu outputs: ", outputs.size());
+  status = method->get_outputs(outputs.data(), outputs.size());
+  ET_CHECK(status == Error::Ok);
+  // Print the first and last 100 elements of long lists of scalars.
+  std::cout << torch::executor::util::evalue_edge_items(100);
+  for (int i = 0; i < outputs.size(); ++i) {
+    std::cout << "Output " << i << ": " << outputs[i] << std::endl;
+  }
+
+  return 0;
+}
diff --git a/examples/mediatek/executor_runner/mtk_llama_executor_runner.cpp b/examples/mediatek/executor_runner/mtk_llama_executor_runner.cpp
new file mode 100644
index 0000000000..e8ffa253dc
--- /dev/null
+++ b/examples/mediatek/executor_runner/mtk_llama_executor_runner.cpp
@@ -0,0 +1,376 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * Copyright (c) 2024 MediaTek Inc.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+/* Copyright Statement:
+ *
+ * This software/firmware and related documentation ("MediaTek Software") are
+ * protected under relevant copyright laws. The information contained herein
+ * is confidential and proprietary to MediaTek Inc. and/or its licensors.
+ * Without the prior written permission of MediaTek inc. and/or its licensors,
+ * any reproduction, modification, use or disclosure of MediaTek Software,
+ * and information contained herein, in whole or in part, shall be strictly
+ * prohibited.
+ */
+/* MediaTek Inc. (C) 2024. All rights reserved.
+ *
+ * BY OPENING THIS FILE, RECEIVER HEREBY UNEQUIVOCALLY ACKNOWLEDGES AND AGREES
+ * THAT THE SOFTWARE/FIRMWARE AND ITS DOCUMENTATIONS ("MEDIATEK SOFTWARE")
+ * RECEIVED FROM MEDIATEK AND/OR ITS REPRESENTATIVES ARE PROVIDED TO RECEIVER ON
+ * AN "AS-IS" BASIS ONLY. MEDIATEK EXPRESSLY DISCLAIMS ANY AND ALL WARRANTIES,
+ * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE IMPLIED WARRANTIES OF
+ * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE OR NONINFRINGEMENT.
+ * NEITHER DOES MEDIATEK PROVIDE ANY WARRANTY WHATSOEVER WITH RESPECT TO THE
+ * SOFTWARE OF ANY THIRD PARTY WHICH MAY BE USED BY, INCORPORATED IN, OR
+ * SUPPLIED WITH THE MEDIATEK SOFTWARE, AND RECEIVER AGREES TO LOOK ONLY TO SUCH
+ * THIRD PARTY FOR ANY WARRANTY CLAIM RELATING THERETO. RECEIVER EXPRESSLY
+ * ACKNOWLEDGES THAT IT IS RECEIVER'S SOLE RESPONSIBILITY TO OBTAIN FROM ANY
+ * THIRD PARTY ALL PROPER LICENSES CONTAINED IN MEDIATEK SOFTWARE. MEDIATEK
+ * SHALL ALSO NOT BE RESPONSIBLE FOR ANY MEDIATEK SOFTWARE RELEASES MADE TO
+ * RECEIVER'S SPECIFICATION OR TO CONFORM TO A PARTICULAR STANDARD OR OPEN
+ * FORUM. RECEIVER'S SOLE AND EXCLUSIVE REMEDY AND MEDIATEK'S ENTIRE AND
+ * CUMULATIVE LIABILITY WITH RESPECT TO THE MEDIATEK SOFTWARE RELEASED HEREUNDER
+ * WILL BE, AT MEDIATEK'S OPTION, TO REVISE OR REPLACE THE MEDIATEK SOFTWARE AT
+ * ISSUE, OR REFUND ANY SOFTWARE LICENSE FEES OR SERVICE CHARGE PAID BY RECEIVER
+ * TO MEDIATEK FOR SUCH MEDIATEK SOFTWARE AT ISSUE.
+ *
+ * The following software/firmware and/or related documentation ("MediaTek
+ * Software") have been modified by MediaTek Inc. All revisions are subject to
+ * any receiver's applicable license agreements with MediaTek Inc.
+ */
+
+#include "executorch/backends/mediatek/runtime/include/NeuronBufferAllocator.h"
+
+#include <ctime>
+#include <iostream>
+#include <memory>
+#include <random>
+
+#include <gflags/gflags.h>
+
+#include <executorch/extension/data_loader/file_data_loader.h>
+#include <executorch/extension/evalue_util/print_evalue.h>
+#include <executorch/runtime/executor/method.h>
+#include <executorch/runtime/executor/program.h>
+#include <executorch/runtime/platform/log.h>
+#include <executorch/runtime/platform/profiler.h>
+#include <executorch/runtime/platform/runtime.h>
+
+#include "llama_runner/LlamaConfig.h"
+#include "llama_runner/LlamaRuntime.h"
+#include "llama_runner/ModelChunk.h"
+#include "llama_runner/Utils.h"
+#include "llama_runner/llm_helper/include/llm_types.h"
+
+#include <executorch/examples/models/llama2/tokenizer/llama_tiktoken.h>
+#include <executorch/extension/llm/tokenizer/bpe_tokenizer.h>
+#include <executorch/extension/llm/tokenizer/tiktoken.h>
+
+// Llama model options
+DEFINE_uint64(
+    prompt_token_batch_size,
+    128,
+    "Token batch size for prompt model.");
+DEFINE_uint64(cache_size, 1024, "Model cache size.");
+DEFINE_uint64(hidden_size, 4096, "Model hidden size.");
+DEFINE_uint64(num_head, 32, "Number of attention heads in each layer.");
+DEFINE_uint64(num_layer, 32, "Number of layers in the model.");
+DEFINE_uint64(
+    max_token_length,
+    2048,
+    "Maximum token length that the model supports.");
+DEFINE_double(
+    rot_emb_base,
+    10000,
+    "Rotary embedding base value, aka 'rope_theta'.");
+
+// Model IO Types
+DEFINE_string(input_type, "int16", "Model input type. Default to 'int16'");
+DEFINE_string(output_type, "int16", "Model output type. Default to 'int16'");
+DEFINE_string(cache_type, "int16", "Model cache type. Default to 'int16'");
+DEFINE_string(mask_type, "int16", "Model mask type. Default to 'int16'");
+DEFINE_string(
+    rot_emb_type,
+    "int16",
+    "Model rotary embedding type. Default to 'int16'");
+
+// Model Paths
+DEFINE_string(
+    token_embedding_path,
+    "embedding.bin",
+    "Input token embedding lookup table path.");
+DEFINE_string(
+    prompt_model_paths,
+    "model_128t.pte",
+    "Comma-separated prompt model paths.");
+DEFINE_string(
+    gen_model_paths,
+    "model_1t.pte",
+    "Comma-separated generative model paths.");
+
+// Tokenizer
+DEFINE_string(tokenizer_path, "tokenizer.model", "tokenizer.model vocab path.");
+DEFINE_string(
+    tokenizer_type,
+    "tiktoken",
+    "Tokenizer type. One of ['bpe', 'tiktoken'].");
+DEFINE_uint64(vocab_size, 128000, "Tokenizer vocab size.");
+DEFINE_uint64(bos_token, 128000, "BOS token id.");
+DEFINE_uint64(eos_token, 128001, "EOS token id.");
+
+// Inference
+DEFINE_uint64(max_response, 50, "Maximum number of tokens to generate.");
+DEFINE_string(prompt_file, "", "File containing the prompt text.");
+
+// Global BOS and EOS option for tokenization (encoding)
+static constexpr int8_t kAddBos = 1;
+static constexpr int8_t kAddEos = 0;
+
+using namespace torch::executor;
+using namespace torch::executor::llm_helper;
+using torch::executor::utils::Timer;
+
+LlamaModelOptions get_model_options() {
+  LlamaModelOptions options = {
+      // Sizes
+      .prompt_token_batch_size = FLAGS_prompt_token_batch_size,
+      .cache_size = FLAGS_cache_size,
+      .hidden_size = FLAGS_hidden_size,
+      .num_head = FLAGS_num_head,
+      .num_layer = FLAGS_num_layer,
+      .max_token_length = FLAGS_max_token_length,
+      .rot_emb_base = FLAGS_rot_emb_base,
+
+      // Types
+      .model_input_type = getLLMTypeFromName(FLAGS_input_type.c_str()),
+      .model_output_type = getLLMTypeFromName(FLAGS_output_type.c_str()),
+      .cache_type = getLLMTypeFromName(FLAGS_cache_type.c_str()),
+      .mask_type = getLLMTypeFromName(FLAGS_mask_type.c_str()),
+      .rot_emb_type = getLLMTypeFromName(FLAGS_rot_emb_type.c_str())};
+  return options;
+}
+
+LlamaModelPaths get_model_paths() {
+  LlamaModelPaths model_paths = {
+      .tokenizer_path = FLAGS_tokenizer_path,
+      .token_embedding_path = FLAGS_token_embedding_path,
+      .prompt_model_paths = utils::split(FLAGS_prompt_model_paths, ','),
+      .gen_model_paths = utils::split(FLAGS_gen_model_paths, ',')};
+  return model_paths;
+}
+
+Result<uint64_t> digest_prompt(
+    LlamaRuntime& llama_runtime,
+    const std::unique_ptr<Tokenizer>& tokenizer,
+    const std::vector<uint64_t> input_tokens) {
+  const auto input_token_count = input_tokens.size();
+  const auto prompt_token_batch_size = llama_runtime.GetTokenBatchSize();
+  size_t cur_token_index = 0;
+
+  Timer timer_digest_prompt([=](const auto elapsed_sec) {
+    // Ideal prompt size is a multiple of prompt batch size
+    const size_t ideal_prompt_size =
+        std::ceil(float(input_token_count) / prompt_token_batch_size) *
+        prompt_token_batch_size;
+    ET_LOG(
+        Info,
+        "Done analyzing prompt in %f sec (%f tok/s)",
+        elapsed_sec,
+        (float)ideal_prompt_size / elapsed_sec);
+  });
+
+  auto getNextTokens = [&]() {
+    const size_t num_tok_remain = input_token_count - cur_token_index;
+    const size_t remainder = num_tok_remain % prompt_token_batch_size;
+    const size_t num_new_tokens =
+        remainder ? remainder : prompt_token_batch_size;
+    const auto start = cur_token_index;
+    const auto end = start + num_new_tokens;
+    return std::vector(
+        input_tokens.begin() + start, input_tokens.begin() + end);
+  };
+
+  void* logits;
+  timer_digest_prompt.Start();
+  while (cur_token_index < input_token_count) {
+    const auto next_tokens = getNextTokens();
+    ET_LOG(
+        Debug,
+        "Digest next tokens (size=%zu), 1st tok=%lu",
+        next_tokens.size(),
+        next_tokens[0]);
+    logits = llama_runtime.Run(next_tokens);
+    cur_token_index += next_tokens.size();
+  }
+  timer_digest_prompt.End();
+
+  const auto vocab_size = tokenizer->vocab_size();
+  const auto logits_type = llama_runtime.GetModelOptions().model_output_type;
+  const auto first_output_token =
+      utils::argmax(logits_type, logits, vocab_size);
+  return first_output_token;
+}
+
+Error gen_response(
+    LlamaRuntime& llama_runtime,
+    const std::unique_ptr<Tokenizer>& tokenizer,
+    const uint64_t input_token) {
+  Timer timer_model_swap(
+      [](const auto elapsed_sec) { ET_LOG(Info, "Model swapped."); });
+
+  // Swap to gen mode
+  timer_model_swap.Start();
+  llama_runtime.SwapModel(1);
+  timer_model_swap.End();
+
+  size_t gen_tok_count = 0;
+  uint64_t prev_token = input_token;
+  uint64_t output_token = input_token;
+
+  auto decode_res = tokenizer->decode(prev_token, output_token);
+  ET_CHECK_OR_RETURN_ERROR(
+      decode_res.ok(),
+      InvalidState,
+      "Tokenizer failed to decode first generated token: %lu",
+      output_token);
+  std::string full_response = std::move(decode_res.get());
+  std::vector<uint64_t> full_response_tokens = {input_token};
+
+  const auto vocab_size = tokenizer->vocab_size();
+  const auto logits_type = llama_runtime.GetModelOptions().model_output_type;
+
+  double gen_total_time_sec = 0;
+  Timer timer_gen_token(
+      [&](const auto elapsed_sec) { gen_total_time_sec += elapsed_sec; });
+
+  // Print first output token
+  std::cout << "\n[Real-time Response]" << std::endl;
+  std::cout << full_response << std::flush;
+
+  while (gen_tok_count++ < FLAGS_max_response &&
+         llama_runtime.GetTokenIndex() < FLAGS_max_token_length) {
+    timer_gen_token.Start();
+    void* logits = llama_runtime.Run({output_token});
+    timer_gen_token.End();
+
+    prev_token = output_token;
+    output_token = utils::argmax(logits_type, logits, vocab_size);
+    full_response_tokens.push_back(output_token);
+
+    // Stop when output is EOS
+    if (output_token == tokenizer->eos_tok()) {
+      std::cout << "</eos>" << std::flush;
+      break;
+    }
+    auto decode_res = tokenizer->decode(prev_token, output_token);
+    ET_CHECK_OR_RETURN_ERROR(
+        decode_res.ok(),
+        InvalidState,
+        "Tokenizer failed to decode generated token %lu",
+        output_token);
+    const std::string tok_str = std::move(decode_res.get());
+    full_response += tok_str;
+    std::cout << tok_str << std::flush;
+  }
+
+  std::cout << "\n\n[Generated Tokens]\n"
+            << utils::to_string(full_response_tokens) << std::endl;
+
+  ET_LOG(
+      Info,
+      "Token generation speed: %f tok/s",
+      gen_tok_count / gen_total_time_sec);
+
+  return Error::Ok;
+}
+
+Error inference(
+    LlamaRuntime& llama_runtime,
+    const std::unique_ptr<Tokenizer>& tokenizer,
+    const std::string& prompt) {
+  // Tokenize input prompt
+  auto encode_res = tokenizer->encode(prompt, kAddBos, kAddEos);
+  ET_CHECK_OR_RETURN_ERROR(
+      encode_res.ok(), InvalidState, "Tokenizer failed to encode prompt");
+  const auto input_tokens = std::move(encode_res.get());
+
+  std::cout << "\n[Input Prompt]\n" << prompt << std::endl;
+
+  // Run prompt mode (pre-fill)
+  auto prefill_res = digest_prompt(llama_runtime, tokenizer, input_tokens);
+  ET_CHECK_OR_RETURN_ERROR(
+      prefill_res.ok(), InvalidState, "Failed to digest prompt");
+  const auto first_output_token = prefill_res.get();
+
+  // run generation mode (decoding)
+  return gen_response(llama_runtime, tokenizer, first_output_token);
+}
+
+std::unique_ptr<Tokenizer> load_tokenizer() {
+  std::unique_ptr<Tokenizer> tokenizer;
+  if (FLAGS_tokenizer_type == "bpe") {
+    tokenizer = std::make_unique<torch::executor::BPETokenizer>();
+  } else if (FLAGS_tokenizer_type == "tiktoken") {
+    tokenizer = example::get_tiktoken_for_llama();
+  }
+  ET_CHECK_MSG(
+      tokenizer, "Invalid tokenizer type: %s", FLAGS_tokenizer_type.c_str());
+  tokenizer->load(FLAGS_tokenizer_path);
+  return tokenizer;
+}
+
+int main(int argc, char** argv) {
+  runtime_init();
+
+  gflags::ParseCommandLineFlags(&argc, &argv, true);
+  if (argc != 1) {
+    std::string msg = "Extra commandline args:";
+    for (int i = 1 /* skip argv[0] (program name) */; i < argc; i++) {
+      msg += std::string(" ") + argv[i];
+    }
+    ET_LOG(Error, "%s", msg.c_str());
+    return 1;
+  }
+
+  LlamaModelOptions model_options = get_model_options();
+  LlamaModelPaths model_paths = get_model_paths();
+
+  if (model_paths.prompt_model_paths.empty()) {
+    model_options.prompt_token_batch_size = 1;
+    ET_LOG(
+        Info,
+        "No prompt model paths provided, overriding prompt_token_batch_size to 1");
+  }
+
+  // Prepare timers
+  Timer timer_init(
+      [](const auto elapsed_sec) { ET_LOG(Info, "Model initialized."); });
+  Timer timer_release(
+      [](const auto elapsed_sec) { ET_LOG(Info, "Model released."); });
+
+  LlamaRuntime llama_runtime;
+
+  // Initialize model
+  ET_LOG(Info, "Begin model loading.");
+  timer_init.Start();
+  const auto tokenizer = load_tokenizer();
+  llama_runtime.Initialize(model_options, model_paths);
+  timer_init.End();
+
+  // Run model
+  ET_CHECK_MSG(!FLAGS_prompt_file.empty(), "No prompt file provided.");
+  std::string prompt = utils::read_file(FLAGS_prompt_file);
+  inference(llama_runtime, tokenizer, prompt);
+
+  // Release model
+  timer_release.Start();
+  llama_runtime.Release();
+  timer_release.End();
+
+  return 0;
+}
diff --git a/examples/mediatek/executor_runner/mtk_oss_executor_runner.cpp b/examples/mediatek/executor_runner/mtk_oss_executor_runner.cpp
new file mode 100755
index 0000000000..3a1ad1d863
--- /dev/null
+++ b/examples/mediatek/executor_runner/mtk_oss_executor_runner.cpp
@@ -0,0 +1,302 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * Copyright (c) 2024 MediaTek Inc.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+/**
+ * @file
+ *
+ * This tool can run ExecuTorch model files that only use operators that
+ * are covered by the portable kernels, with possible delegate to the
+ * test_backend_compiler_lib.
+ *
+ * It sets all input tensor data to ones, and assumes that the outputs are
+ * all fp32 tensors.
+ */
+
+#include <cstdlib>
+#include <ctime>
+#include <filesystem>
+#include <fstream>
+#include <iostream>
+#include <memory>
+
+#include <gflags/gflags.h>
+
+#include <executorch/extension/data_loader/file_data_loader.h>
+#include <executorch/extension/evalue_util/print_evalue.h>
+#include <executorch/extension/runner_util/inputs.h>
+#include <executorch/runtime/executor/method.h>
+#include <executorch/runtime/executor/program.h>
+#include <executorch/runtime/platform/log.h>
+#include <executorch/runtime/platform/runtime.h>
+
+static uint8_t method_allocator_pool[8 * 1024U * 1024U]; // 8 MB
+
+// Model Path
+DEFINE_string(
+    model_path,
+    "model.pte",
+    "Model serialized in flatbuffer format. Default to 'model.pte'");
+DEFINE_string(
+    input_list,
+    "input_list.txt",
+    "Model input list. Default to 'input_list.txt'");
+DEFINE_string(
+    output_folder,
+    "outputs",
+    "Model output folder. Default to 'outputs'");
+
+using namespace torch::executor;
+using torch::executor::MemoryAllocator;
+using torch::executor::util::BufferCleanup;
+using torch::executor::util::FileDataLoader;
+using namespace std::filesystem;
+
+int main(int argc, char** argv) {
+  runtime_init();
+
+  gflags::ParseCommandLineFlags(&argc, &argv, true);
+  if (argc != 1) {
+    std::string msg = "Extra commandline args:";
+    for (int i = 1 /* skip argv[0] (program name) */; i < argc; i++) {
+      msg += std::string(" ") + argv[i];
+    }
+    ET_LOG(Error, "%s", msg.c_str());
+    return 1;
+  }
+
+  // Create output folder
+  create_directories(FLAGS_output_folder);
+
+  // Create a loader to get the data of the program file. There are other
+  // DataLoaders that use mmap() or point to data that's already in memory, and
+  // users can create their own DataLoaders to load from arbitrary sources.
+  const char* model_path = FLAGS_model_path.c_str();
+  Result<FileDataLoader> loader = FileDataLoader::from(model_path);
+  ET_CHECK_MSG(
+      loader.ok(),
+      "FileDataLoader::from() failed: 0x%" PRIx32,
+      (uint32_t)loader.error());
+
+  // Parse the program file. This is immutable, and can also be reused between
+  // multiple execution invocations across multiple threads.
+  Result<Program> program = Program::load(&loader.get());
+  if (!program.ok()) {
+    ET_LOG(Error, "Failed to parse model file %s", model_path);
+    return 1;
+  }
+  ET_LOG(Info, "Model file %s is loaded.", model_path);
+
+  // Use the first method in the program.
+  const char* method_name = nullptr;
+  {
+    const auto method_name_result = program->get_method_name(0);
+    ET_CHECK_MSG(method_name_result.ok(), "Program has no methods");
+    method_name = *method_name_result;
+  }
+  ET_LOG(Info, "Using method %s", method_name);
+
+  // MethodMeta describes the memory requirements of the method.
+  Result<MethodMeta> method_meta_result = program->method_meta(method_name);
+  ET_CHECK_MSG(
+      method_meta_result.ok(),
+      "Failed to get method_meta for %s: 0x%" PRIx32,
+      method_name,
+      (uint32_t)method_meta_result.error());
+
+  //
+  // The runtime does not use malloc/new; it allocates all memory using the
+  // MemoryManger provided by the client. Clients are responsible for allocating
+  // the memory ahead of time, or providing MemoryAllocator subclasses that can
+  // do it dynamically.
+  //
+
+  // The method allocator is used to allocate all dynamic C++ metadata/objects
+  // used to represent the loaded method. This allocator is only used during
+  // loading a method of the program, which will return an error if there was
+  // not enough memory.
+  //
+  // The amount of memory required depends on the loaded method and the runtime
+  // code itself. The amount of memory here is usually determined by running the
+  // method and seeing how much memory is actually used, though it's possible to
+  // subclass MemoryAllocator so that it calls malloc() under the hood (see
+  // MallocMemoryAllocator).
+  //
+  // In this example we use a statically allocated memory pool.
+  MemoryAllocator method_allocator{
+      MemoryAllocator(sizeof(method_allocator_pool), method_allocator_pool)};
+
+  // The memory-planned buffers will back the mutable tensors used by the
+  // method. The sizes of these buffers were determined ahead of time during the
+  // memory-planning pasees.
+  //
+  // Each buffer typically corresponds to a different hardware memory bank. Most
+  // mobile environments will only have a single buffer. Some embedded
+  // environments may have more than one for, e.g., slow/large DRAM and
+  // fast/small SRAM, or for memory associated with particular cores.
+  std::vector<std::unique_ptr<uint8_t[]>> planned_buffers; // Owns the memory
+  std::vector<Span<uint8_t>> planned_spans; // Passed to the allocator
+  size_t num_memory_planned_buffers =
+      method_meta_result->num_memory_planned_buffers();
+  for (size_t id = 0; id < num_memory_planned_buffers; ++id) {
+    // .get() will always succeed because id < num_memory_planned_buffers.
+    size_t buffer_size = static_cast<size_t>(
+        method_meta_result->memory_planned_buffer_size(id).get());
+    ET_LOG(Info, "Setting up planned buffer %zu, size %zu.", id, buffer_size);
+    planned_buffers.push_back(std::make_unique<uint8_t[]>(buffer_size));
+    planned_spans.push_back({planned_buffers.back().get(), buffer_size});
+  }
+  HierarchicalAllocator planned_memory(
+      {planned_spans.data(), planned_spans.size()});
+
+  // Assemble all of the allocators into the MemoryManager that the Executor
+  // will use.
+  MemoryManager memory_manager(&method_allocator, &planned_memory);
+
+  //
+  // Load the method from the program, using the provided allocators. Running
+  // the method can mutate the memory-planned buffers, so the method should only
+  // be used by a single thread at at time, but it can be reused.
+  //
+  Result<Method> method = program->load_method(method_name, &memory_manager);
+  ET_CHECK_MSG(
+      method.ok(),
+      "Loading of method %s failed with status 0x%" PRIx32,
+      method_name,
+      (uint32_t)method.error());
+  ET_LOG(Info, "Method loaded.");
+
+  std::ifstream input_list(FLAGS_input_list);
+  ET_CHECK_MSG(
+      input_list.is_open(),
+      "Error: cannot open input file %s",
+      FLAGS_input_list.c_str());
+
+  auto split = [](std::string s, std::string delimiter) {
+    size_t pos_start = 0, pos_end, delim_len = delimiter.length();
+    std::string token;
+    std::vector<std::string> res;
+
+    while ((pos_end = s.find(delimiter, pos_start)) != std::string::npos) {
+      token = s.substr(pos_start, pos_end - pos_start);
+      pos_start = pos_end + delim_len;
+      res.push_back(token);
+    }
+    res.push_back(s.substr(pos_start));
+    return res;
+  };
+
+  MethodMeta method_meta = method->method_meta();
+  size_t num_inputs = method_meta.num_inputs();
+  std::string file_path;
+  int inference_index = 0;
+  while (std::getline(input_list, file_path)) {
+    auto input_files = split(file_path, " ");
+    if (input_files.size() == 0) {
+      break;
+    }
+    ET_CHECK_MSG(
+        input_files.size() == num_inputs,
+        "Model expect %zu inputs but get %zu from input files",
+        num_inputs,
+        input_files.size());
+
+    // Prepare the inputs.
+    size_t num_allocated = 0;
+    ET_LOG(Info, "Number of inputs: %zu", num_inputs);
+    void** inputs = (void**)malloc(num_inputs * sizeof(void*));
+
+    for (size_t i = 0; i < num_inputs; i++) {
+      auto tag = method_meta.input_tag(i);
+      if (tag.get() != Tag::Tensor) {
+        ET_LOG(Debug, "Skipping malloc non-tensor input %zu", i);
+        continue;
+      }
+      Result<TensorInfo> tensor_meta = method_meta.input_tensor_meta(i);
+      const auto nbytes = tensor_meta->nbytes();
+      // This input is a tensor. Allocate a buffer for it.
+      void* data_ptr = malloc(nbytes);
+
+      // Read data from file
+      std::ifstream fin(input_files[i], std::ios::binary);
+      fin.seekg(0, fin.end);
+      size_t file_size = fin.tellg();
+
+      ET_CHECK_MSG(
+          file_size == nbytes,
+          "Input %zu size mismatch. file bytes: %zu, tensor bytes: %zu",
+          i,
+          file_size,
+          nbytes);
+
+      fin.seekg(0, fin.beg);
+      fin.read(static_cast<char*>(data_ptr), file_size);
+      fin.close();
+      inputs[num_allocated++] = data_ptr;
+
+      // Set backend input
+      auto scalar_type = tensor_meta->scalar_type();
+      auto sizes_raw = tensor_meta->sizes();
+      auto dim = sizes_raw.size();
+      auto dim_order_raw = tensor_meta->dim_order();
+      std::vector sizes(sizes_raw.begin(), sizes_raw.end());
+      std::vector dim_order(dim_order_raw.begin(), dim_order_raw.end());
+
+      TensorImpl impl = TensorImpl(
+          scalar_type, dim, sizes.data(), data_ptr, dim_order.data());
+
+      Tensor tensor(&impl);
+      Error ret = method->set_input(tensor, i);
+      if (ret != Error::Ok) {
+        ET_LOG(Error, "Failed to set input %zu: 0x%" PRIx32, i, (uint32_t)ret);
+        // The BufferCleanup will free the inputs when it goes out of scope.
+        BufferCleanup cleanup({inputs, num_allocated});
+        return 1;
+      }
+    }
+    BufferCleanup({inputs, num_allocated});
+    ET_LOG(Info, "Inputs prepared.");
+
+    // Run the model.
+    auto before_exec = std::chrono::high_resolution_clock::now();
+    Error status = Error::Ok;
+    status = method->execute();
+    auto after_exec = std::chrono::high_resolution_clock::now();
+    double elapsed_time = std::chrono::duration_cast<std::chrono::microseconds>(
+                              after_exec - before_exec)
+                              .count() /
+        1000.0;
+
+    ET_LOG(Info, "Inference took %f ms", elapsed_time);
+    ET_CHECK_MSG(
+        status == Error::Ok,
+        "Execution of method %s failed with status 0x%" PRIx32,
+        method_name,
+        (uint32_t)status);
+    ET_LOG(Info, "Model executed successfully.");
+
+    // Get output data
+    size_t output_size = method->outputs_size();
+    ET_LOG(Info, "Number of outputs: %zu", output_size);
+    std::vector<EValue> outputs(output_size);
+    status = method->get_outputs(outputs.data(), output_size);
+    ET_CHECK(status == Error::Ok);
+    for (size_t i = 0; i < output_size; i++) {
+      auto output_tensor = outputs[i].toTensor();
+      auto output_file_name = FLAGS_output_folder + "/output_" +
+          std::to_string(inference_index) + "_" + std::to_string(i) + ".bin";
+      std::ofstream fout(output_file_name.c_str(), std::ios::binary);
+      fout.write(output_tensor.const_data_ptr<char>(), output_tensor.nbytes());
+      fout.close();
+    }
+
+    inference_index++;
+  }
+
+  return 0;
+}
diff --git a/examples/mediatek/executor_runner/run_llama3_sample.sh b/examples/mediatek/executor_runner/run_llama3_sample.sh
new file mode 100644
index 0000000000..d9d6ea43e3
--- /dev/null
+++ b/examples/mediatek/executor_runner/run_llama3_sample.sh
@@ -0,0 +1,80 @@
+ # Copyright (c) 2024 MediaTek Inc.
+ #
+ # Licensed under the BSD License (the "License"); you may not use this file
+ # except in compliance with the License. See the license file in the root
+ # directory of this source tree for more details.
+
+# Runtime
+MAX_RESPONSE=200
+
+# Model External
+PROMPT_TOKEN_BATCH_SIZE=128
+CACHE_SIZE=512
+
+# Model Internals
+HIDDEN_SIZE=4096
+NUM_HEAD=32
+NUM_LAYER=32
+MAX_TOKEN_LENGTH=8192
+ROT_EMB_BASE=500000
+
+# Model IO Types
+INPUT_TYPE=fp32
+OUTPUT_TYPE=fp32
+CACHE_TYPE=fp32
+MASK_TYPE=fp32
+ROT_EMB_TYPE=fp32
+
+# Tokenizer
+VOCAB_SIZE=128000
+BOS_TOKEN=128000
+EOS_TOKEN=128001
+TOKENIZER_TYPE=tiktoken  # Use "bpe" for LLAMA2, "tiktoken" for LLAMA3
+
+# Paths
+TOKENIZER_PATH="/data/local/tmp/llama3/tokenizer.model"
+TOKEN_EMBEDDING_PATH="/data/local/tmp/llama3/embedding_llama3_8b_instruct_fp32.bin"
+
+# Comma-Separated Paths
+PROMPT_MODEL_PATHS="\
+/data/local/tmp/llama3/llama3_8b_SC_sym4W_sym16A_4_chunks_Overall_128t512c_0.pte,\
+/data/local/tmp/llama3/llama3_8b_SC_sym4W_sym16A_4_chunks_Overall_128t512c_1.pte,\
+/data/local/tmp/llama3/llama3_8b_SC_sym4W_sym16A_4_chunks_Overall_128t512c_2.pte,\
+/data/local/tmp/llama3/llama3_8b_SC_sym4W_sym16A_4_chunks_Overall_128t512c_3.pte,"
+
+# Comma-Separated Paths
+GEN_MODEL_PATHS="\
+/data/local/tmp/llama3/llama3_8b_SC_sym4W_sym16A_4_chunks_Overall_1t512c_0.pte,\
+/data/local/tmp/llama3/llama3_8b_SC_sym4W_sym16A_4_chunks_Overall_1t512c_1.pte,\
+/data/local/tmp/llama3/llama3_8b_SC_sym4W_sym16A_4_chunks_Overall_1t512c_2.pte,\
+/data/local/tmp/llama3/llama3_8b_SC_sym4W_sym16A_4_chunks_Overall_1t512c_3.pte,"
+
+PROMPT_FILE=/data/local/tmp/llama3/sample_prompt.txt
+
+chmod +x mtk_llama_executor_runner
+
+export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$PWD
+
+./mtk_llama_executor_runner \
+    --max_response=$MAX_RESPONSE \
+    --prompt_token_batch_size=$PROMPT_TOKEN_BATCH_SIZE \
+    --cache_size=$CACHE_SIZE \
+    --hidden_size=$HIDDEN_SIZE \
+    --num_head=$NUM_HEAD \
+    --num_layer=$NUM_LAYER \
+    --max_token_length=$MAX_TOKEN_LENGTH \
+    --rot_emb_base=$ROT_EMB_BASE \
+    --input_type=$INPUT_TYPE \
+    --output_type=$OUTPUT_TYPE \
+    --cache_type=$CACHE_TYPE \
+    --mask_type=$MASK_TYPE \
+    --rot_emb_type=$ROT_EMB_TYPE \
+    --vocab_size=$VOCAB_SIZE \
+    --bos_token=$BOS_TOKEN \
+    --eos_token=$EOS_TOKEN \
+    --tokenizer_type=$TOKENIZER_TYPE \
+    --tokenizer_path=$TOKENIZER_PATH \
+    --token_embedding_path=$TOKEN_EMBEDDING_PATH \
+    --prompt_model_paths=$PROMPT_MODEL_PATHS \
+    --gen_model_paths=$GEN_MODEL_PATHS \
+    --prompt_file=$PROMPT_FILE
\ No newline at end of file
diff --git a/examples/mediatek/model_export_scripts/deeplab_v3.py b/examples/mediatek/model_export_scripts/deeplab_v3.py
new file mode 100755
index 0000000000..da6766c0f5
--- /dev/null
+++ b/examples/mediatek/model_export_scripts/deeplab_v3.py
@@ -0,0 +1,124 @@
+# Copyright (c) MediaTek Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import argparse
+import os
+import random
+
+import numpy as np
+
+import torch
+from executorch.backends.mediatek import Precision
+from executorch.examples.mediatek.aot_utils.oss_utils.utils import (
+    build_executorch_binary,
+)
+from executorch.examples.models.deeplab_v3 import DeepLabV3ResNet101Model
+
+
+class NhwcWrappedModel(torch.nn.Module):
+    def __init__(self):
+        super(NhwcWrappedModel, self).__init__()
+        self.deeplabv3 = DeepLabV3ResNet101Model().get_eager_model()
+
+    def forward(self, input1):
+        nchw_input1 = input1.permute(0, 3, 1, 2)
+        nchw_output = self.deeplabv3(nchw_input1)
+        return nchw_output.permute(0, 2, 3, 1)
+
+
+def get_dataset(data_size, dataset_dir, download):
+    from torchvision import datasets, transforms
+
+    input_size = (224, 224)
+    preprocess = transforms.Compose(
+        [
+            transforms.Resize(input_size),
+            transforms.ToTensor(),
+            transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
+        ]
+    )
+    dataset = list(
+        datasets.VOCSegmentation(
+            root=os.path.join(dataset_dir, "voc_image"),
+            year="2009",
+            image_set="val",
+            transform=preprocess,
+            download=download,
+        )
+    )
+
+    # prepare input data
+    random.shuffle(dataset)
+    inputs, targets, input_list = [], [], ""
+    for index, data in enumerate(dataset):
+        if index >= data_size:
+            break
+        image, target = data
+        inputs.append((image.unsqueeze(0).permute(0, 2, 3, 1),))
+        targets.append(np.array(target.resize(input_size)))
+        input_list += f"input_{index}_0.bin\n"
+
+    return inputs, targets, input_list
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "-a",
+        "--artifact",
+        help="path for storing generated artifacts by this example. Default ./deeplab_v3",
+        default="./deeplab_v3",
+        type=str,
+    )
+
+    parser.add_argument(
+        "-d",
+        "--download",
+        help="If specified, download VOCSegmentation dataset by torchvision API",
+        action="store_true",
+        default=False,
+    )
+
+    args = parser.parse_args()
+
+    # ensure the working directory exist.
+    os.makedirs(args.artifact, exist_ok=True)
+
+    data_num = 100
+    inputs, targets, input_list = get_dataset(
+        data_size=data_num, dataset_dir=args.artifact, download=args.download
+    )
+
+    # save data to inference on device
+    input_list_file = f"{args.artifact}/input_list.txt"
+    with open(input_list_file, "w") as f:
+        f.write(input_list)
+        f.flush()
+    for idx, data in enumerate(inputs):
+        for i, d in enumerate(data):
+            file_name = f"{args.artifact}/input_{idx}_{i}.bin"
+            d.detach().numpy().tofile(file_name)
+            if idx == 0:
+                print("inp shape: ", d.detach().numpy().shape)
+                print("inp type: ", d.detach().numpy().dtype)
+    for idx, data in enumerate(targets):
+        file_name = f"{args.artifact}/golden_{idx}_0.bin"
+        data.tofile(file_name)
+        if idx == 0:
+            print("golden shape: ", data.shape)
+            print("golden type: ", data.dtype)
+
+    # build pte
+    pte_filename = "deeplabV3Resnet101_mtk"
+    instance = NhwcWrappedModel()
+    build_executorch_binary(
+        instance.eval(),
+        (torch.randn(1, 224, 224, 3),),
+        f"{args.artifact}/{pte_filename}",
+        inputs,
+        quant_dtype=Precision.A8W8,
+    )
diff --git a/examples/mediatek/model_export_scripts/edsr.py b/examples/mediatek/model_export_scripts/edsr.py
new file mode 100755
index 0000000000..4192d67e56
--- /dev/null
+++ b/examples/mediatek/model_export_scripts/edsr.py
@@ -0,0 +1,170 @@
+# Copyright (c) MediaTek Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import argparse
+import os
+
+import numpy as np
+
+import torch
+from executorch.backends.mediatek import Precision
+from executorch.examples.mediatek.aot_utils.oss_utils.utils import (
+    build_executorch_binary,
+)
+from executorch.examples.models.edsr import EdsrModel
+
+from PIL import Image
+from torch.utils.data import Dataset
+from torchsr.datasets import B100
+from torchvision.transforms.functional import to_tensor
+
+
+class NhwcWrappedModel(torch.nn.Module):
+    def __init__(self):
+        super(NhwcWrappedModel, self).__init__()
+        self.edsr = EdsrModel().get_eager_model()
+
+    def forward(self, input1):
+        nchw_input1 = input1.permute(0, 3, 1, 2)
+        nchw_output = self.edsr(nchw_input1)
+        return nchw_output.permute(0, 2, 3, 1)
+
+
+class SrDataset(Dataset):
+    def __init__(self, hr_dir: str, lr_dir: str):
+        self.input_size = np.asanyarray([224, 224])
+        self.hr = []
+        self.lr = []
+
+        for file in sorted(os.listdir(hr_dir)):
+            self.hr.append(self._resize_img(os.path.join(hr_dir, file), 2))
+
+        for file in sorted(os.listdir(lr_dir)):
+            self.lr.append(self._resize_img(os.path.join(lr_dir, file), 1))
+
+        if len(self.hr) != len(self.lr):
+            raise AssertionError(
+                "The number of high resolution pics is not equal to low "
+                "resolution pics"
+            )
+
+    def __getitem__(self, idx: int):
+        return self.hr[idx], self.lr[idx]
+
+    def __len__(self):
+        return len(self.lr)
+
+    def _resize_img(self, file: str, scale: int):
+        with Image.open(file) as img:
+            return (
+                to_tensor(img.resize(tuple(self.input_size * scale)))
+                .unsqueeze(0)
+                .permute(0, 2, 3, 1)
+            )
+
+    def get_input_list(self):
+        input_list = ""
+        for i in range(len(self.lr)):
+            input_list += f"input_{i}_0.bin\n"
+        return input_list
+
+
+def get_b100(
+    dataset_dir: str,
+):
+    hr_dir = f"{dataset_dir}/sr_bm_dataset/SRBenchmarks/benchmark/B100/HR"
+    lr_dir = f"{dataset_dir}/sr_bm_dataset/SRBenchmarks/benchmark/B100/LR_bicubic/X2"
+
+    if not os.path.exists(hr_dir) or not os.path.exists(lr_dir):
+        B100(root=f"{dataset_dir}/sr_bm_dataset", scale=2, download=True)
+
+    return SrDataset(hr_dir, lr_dir)
+
+
+def get_dataset(hr_dir: str, lr_dir: str, default_dataset: str, dataset_dir: str):
+    if not (lr_dir and hr_dir) and not default_dataset:
+        raise RuntimeError(
+            "Nither custom dataset is provided nor using default dataset."
+        )
+
+    if (lr_dir and hr_dir) and default_dataset:
+        raise RuntimeError("Either use custom dataset, or use default dataset.")
+
+    if default_dataset:
+        return get_b100(dataset_dir)
+
+    return SrDataset(hr_dir, lr_dir)
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "-a",
+        "--artifact",
+        help="path for storing generated artifacts by this example. Default ./edsr",
+        default="./edsr",
+        type=str,
+    )
+
+    parser.add_argument(
+        "-r",
+        "--hr_ref_dir",
+        help="Path to the high resolution images",
+        default="",
+        type=str,
+    )
+
+    parser.add_argument(
+        "-l",
+        "--lr_dir",
+        help="Path to the low resolution image inputs",
+        default="",
+        type=str,
+    )
+
+    parser.add_argument(
+        "-d",
+        "--default_dataset",
+        help="If specified, download and use B100 dataset by torchSR API",
+        action="store_true",
+        default=False,
+    )
+
+    args = parser.parse_args()
+
+    # ensure the working directory exist.
+    os.makedirs(args.artifact, exist_ok=True)
+
+    dataset = get_dataset(
+        args.hr_ref_dir, args.lr_dir, args.default_dataset, args.artifact
+    )
+
+    inputs, targets, input_list = dataset.lr, dataset.hr, dataset.get_input_list()
+
+    # save data to inference on device
+    input_list_file = f"{args.artifact}/input_list.txt"
+    with open(input_list_file, "w") as f:
+        f.write(input_list)
+        f.flush()
+    for idx, data in enumerate(inputs):
+        for i, d in enumerate(data):
+            file_name = f"{args.artifact}/input_{idx}_{i}.bin"
+            d.detach().numpy().tofile(file_name)
+    for idx, data in enumerate(targets):
+        file_name = f"{args.artifact}/golden_{idx}_0.bin"
+        data.detach().numpy().tofile(file_name)
+
+    # build pte
+    pte_filename = "edsr_mtk"
+    instance = NhwcWrappedModel()
+    build_executorch_binary(
+        instance.eval(),
+        (inputs[0],),
+        f"{args.artifact}/{pte_filename}",
+        [(input,) for input in inputs],
+        quant_dtype=Precision.A8W8,
+    )
diff --git a/examples/mediatek/model_export_scripts/inception_v3.py b/examples/mediatek/model_export_scripts/inception_v3.py
new file mode 100755
index 0000000000..c28bd85b40
--- /dev/null
+++ b/examples/mediatek/model_export_scripts/inception_v3.py
@@ -0,0 +1,120 @@
+# Copyright (c) MediaTek Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import argparse
+import os
+
+import torch
+from executorch.backends.mediatek import Precision
+from executorch.examples.mediatek.aot_utils.oss_utils.utils import (
+    build_executorch_binary,
+)
+from executorch.examples.models.inception_v3 import InceptionV3Model
+
+
+class NhwcWrappedModel(torch.nn.Module):
+    def __init__(self):
+        super(NhwcWrappedModel, self).__init__()
+        self.inception = InceptionV3Model().get_eager_model()
+
+    def forward(self, input1):
+        nchw_input1 = input1.permute(0, 3, 1, 2)
+        output = self.inception(nchw_input1)
+        return output
+
+
+def get_dataset(dataset_path, data_size):
+    from torchvision import datasets, transforms
+
+    def get_data_loader():
+        preprocess = transforms.Compose(
+            [
+                transforms.Resize(256),
+                transforms.CenterCrop(224),
+                transforms.ToTensor(),
+                transforms.Normalize(
+                    mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]
+                ),
+            ]
+        )
+        imagenet_data = datasets.ImageFolder(dataset_path, transform=preprocess)
+        return torch.utils.data.DataLoader(
+            imagenet_data,
+            shuffle=True,
+        )
+
+    # prepare input data
+    inputs, targets, input_list = [], [], ""
+    data_loader = get_data_loader()
+    for index, data in enumerate(data_loader):
+        if index >= data_size:
+            break
+        feature, target = data
+        feature = feature.permute(0, 2, 3, 1)  # NHWC
+        inputs.append((feature,))
+        targets.append(target)
+        input_list += f"input_{index}_0.bin\n"
+
+    return inputs, targets, input_list
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "-d",
+        "--dataset",
+        help=(
+            "path to the validation folder of ImageNet dataset. "
+            "e.g. --dataset imagenet-mini/val "
+            "for https://www.kaggle.com/datasets/ifigotin/imagenetmini-1000)"
+        ),
+        type=str,
+        required=True,
+    )
+
+    parser.add_argument(
+        "-a",
+        "--artifact",
+        help="path for storing generated artifacts by this example. "
+        "Default ./inceptionV3",
+        default="./inceptionV3",
+        type=str,
+    )
+
+    args = parser.parse_args()
+
+    # ensure the working directory exist.
+    os.makedirs(args.artifact, exist_ok=True)
+
+    data_num = 100
+    inputs, targets, input_list = get_dataset(
+        dataset_path=f"{args.dataset}",
+        data_size=data_num,
+    )
+
+    # save data to inference on device
+    input_list_file = f"{args.artifact}/input_list.txt"
+    with open(input_list_file, "w") as f:
+        f.write(input_list)
+        f.flush()
+    for idx, data in enumerate(inputs):
+        for i, d in enumerate(data):
+            file_name = f"{args.artifact}/input_{idx}_{i}.bin"
+            d.detach().numpy().tofile(file_name)
+    for idx, data in enumerate(targets):
+        file_name = f"{args.artifact}/golden_{idx}_0.bin"
+        data.detach().numpy().tofile(file_name)
+
+    pte_filename = "inceptionV3_mtk"
+    instance = NhwcWrappedModel()
+    build_executorch_binary(
+        instance.eval(),
+        (torch.randn(1, 224, 224, 3),),
+        f"{args.artifact}/{pte_filename}",
+        inputs,
+        quant_dtype=Precision.A8W8,
+    )
diff --git a/examples/mediatek/model_export_scripts/inception_v4.py b/examples/mediatek/model_export_scripts/inception_v4.py
new file mode 100755
index 0000000000..ccb2ce16f2
--- /dev/null
+++ b/examples/mediatek/model_export_scripts/inception_v4.py
@@ -0,0 +1,120 @@
+# Copyright (c) MediaTek Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import argparse
+import os
+
+import torch
+from executorch.backends.mediatek import Precision
+from executorch.examples.mediatek.aot_utils.oss_utils.utils import (
+    build_executorch_binary,
+)
+from executorch.examples.models.inception_v4 import InceptionV4Model
+
+
+class NhwcWrappedModel(torch.nn.Module):
+    def __init__(self):
+        super(NhwcWrappedModel, self).__init__()
+        self.inception = InceptionV4Model().get_eager_model()
+
+    def forward(self, input1):
+        nchw_input1 = input1.permute(0, 3, 1, 2)
+        output = self.inception(nchw_input1)
+        return output
+
+
+def get_dataset(dataset_path, data_size):
+    from torchvision import datasets, transforms
+
+    def get_data_loader():
+        preprocess = transforms.Compose(
+            [
+                transforms.Resize((299, 299)),
+                transforms.ToTensor(),
+                transforms.Normalize(
+                    mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]
+                ),
+            ]
+        )
+        imagenet_data = datasets.ImageFolder(dataset_path, transform=preprocess)
+        return torch.utils.data.DataLoader(
+            imagenet_data,
+            shuffle=True,
+        )
+
+    # prepare input data
+    inputs, targets, input_list = [], [], ""
+    data_loader = get_data_loader()
+    for index, data in enumerate(data_loader):
+        if index >= data_size:
+            break
+        feature, target = data
+        feature = feature.permute(0, 2, 3, 1)  # NHWC
+        inputs.append((feature,))
+        targets.append(target)
+        input_list += f"input_{index}_0.bin\n"
+
+    return inputs, targets, input_list
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "-d",
+        "--dataset",
+        help=(
+            "path to the validation folder of ImageNet dataset. "
+            "e.g. --dataset imagenet-mini/val "
+            "for https://www.kaggle.com/datasets/ifigotin/imagenetmini-1000)"
+        ),
+        type=str,
+        required=True,
+    )
+
+    parser.add_argument(
+        "-a",
+        "--artifact",
+        help="path for storing generated artifacts by this example. "
+        "Default ./inceptionV4",
+        default="./inceptionV4",
+        type=str,
+    )
+
+    args = parser.parse_args()
+
+    # ensure the working directory exist.
+    os.makedirs(args.artifact, exist_ok=True)
+
+    data_num = 100
+    inputs, targets, input_list = get_dataset(
+        dataset_path=f"{args.dataset}",
+        data_size=data_num,
+    )
+
+    # save data to inference on device
+    input_list_file = f"{args.artifact}/input_list.txt"
+    with open(input_list_file, "w") as f:
+        f.write(input_list)
+        f.flush()
+    for idx, data in enumerate(inputs):
+        for i, d in enumerate(data):
+            file_name = f"{args.artifact}/input_{idx}_{i}.bin"
+            d.detach().numpy().tofile(file_name)
+    for idx, data in enumerate(targets):
+        file_name = f"{args.artifact}/golden_{idx}_0.bin"
+        data.detach().numpy().tofile(file_name)
+
+    # build pte
+    pte_filename = "inceptionV4_mtk"
+    instance = NhwcWrappedModel()
+    build_executorch_binary(
+        instance.eval(),
+        (torch.randn(1, 299, 299, 3),),
+        f"{args.artifact}/{pte_filename}",
+        inputs,
+        quant_dtype=Precision.A8W8,
+    )
diff --git a/examples/mediatek/model_export_scripts/llama.py b/examples/mediatek/model_export_scripts/llama.py
new file mode 100644
index 0000000000..b2fef26a4c
--- /dev/null
+++ b/examples/mediatek/model_export_scripts/llama.py
@@ -0,0 +1,480 @@
+import os
+import sys
+
+if os.getcwd() not in sys.path:
+    sys.path.append(os.getcwd())
+import argparse
+import struct
+import warnings
+
+import torch
+
+from aot_utils.llm_utils.preformatter import Preformatter
+from aot_utils.llm_utils.sanity_checks import (
+    check_all_chunks_same_num_layer,
+    check_between_inclusive,
+    check_exist,
+    check_ext,
+    check_old_arg,
+    check_shapes,
+    check_supported_model,
+    check_supported_tokenizer,
+    check_tokenizer_exist,
+    check_weights_exist,
+)
+from aot_utils.llm_utils.utils import (
+    dump_embedding_lut_for_cmdline,
+    generate_mask,
+    get_dest_path,
+    get_dirname,
+    get_embedding_layer,
+    get_exp_name,
+    get_export_shapes,
+    get_master_rot_emb,
+    get_normalized_config,
+    load_checkpoints,
+    resolve_model_classes,
+)
+from datasets import load_dataset
+from executorch import exir
+from executorch.backends.mediatek import (
+    NeuropilotPartitioner,
+    NeuropilotQuantizer,
+    Precision,
+)
+from executorch.exir.backend.backend_details import CompileSpec
+from torch.ao.quantization.quantize_pt2e import convert_pt2e, prepare_pt2e
+from tqdm import tqdm
+
+warnings.filterwarnings("ignore")
+
+
+def get_argument_parser():
+    parser = argparse.ArgumentParser(
+        description="Run Export to ET for suppoorted LLM models.", allow_abbrev=False
+    )
+    parser.add_argument(
+        "config",
+        type=str,
+        help="[Required] Model config json file. "
+        "Model config must be in same directory as all model weight bins and tokenizer files.",
+    )
+    parser.add_argument(
+        "-p",
+        "--precision",
+        type=str,
+        default="A16W8",
+        choices=["A16W4", "A16W8", "A16W16", "A8W4", "A8W8"],
+        help="Precision to quantize entire model to.",
+    )
+    parser.add_argument(
+        "-d",
+        "--dataset",
+        type=str,
+        default=None,
+        help="Calibration dataset name or path to dataset. Defaults to None to use random inputs",
+    )
+    parser.add_argument(
+        "-n",
+        "--num_chunks",
+        type=int,
+        default=4,
+        help="Number of chunks to cut the model into. Defaults to 4.",
+    )
+    parser.add_argument(
+        "-r",
+        "--response_cap",
+        type=int,
+        default=9,
+        help="Max Number of Response Tokens to save during calibration. Defaults to 9.",
+    )
+    parser.add_argument(
+        "--preformatter",
+        type=str,
+        default=None,
+        help="Preformatter Template to use to wrap input with. Defaults to None.",
+    )
+    parser.add_argument(
+        "-shapes",
+        nargs="+",
+        help="[Required] Expected input shapes to reconfigure TFLites to. Space separated list of "
+        "shapes in the format: xtyc (e.g. 32t512c)",
+    )
+
+    return parser
+
+
+# flake8: noqa: F405
+def args_sanity_checks(args):
+    check_old_arg(args.config)
+    check_exist(args.config, "Config file")
+    check_ext(args.config, ".json", "Config file")
+    config = get_normalized_config(args.config)
+
+    weight_dir = get_dirname(args.config)
+    check_tokenizer_exist(weight_dir)
+    check_weights_exist(weight_dir)
+
+    check_supported_model(config)
+    check_supported_tokenizer(config)
+
+    if args.preformatter is not None:
+        check_exist(args.preformatter, "Preformatter json file")
+        check_ext(args.preformatter, ".json", "preformatter")
+
+    if args.dataset is not None:
+        check_exist(args.dataset)
+
+    check_between_inclusive(args.num_chunks, 1, config.num_hidden_layers, "num_chunks")
+
+    check_shapes(args.shapes)
+
+
+def print_args(args, exp_name):
+    print("Please check if all arguments are correct:")
+    print(f"Config file:                  {args.config}")
+    print(f"Output pte folder:            pte/{exp_name}")
+    print(f"Quantization precision:       {args.precision}")
+    print(f"Preformatter:                 {args.preformatter}")
+    print(f"Calibration Dataset:          {args.dataset}")
+    print(f"Max Response Tokens:          {args.response_cap}")
+    print(f"Number of chunks:             {args.num_chunks}")
+    print(f"Export shape(s):              {args.shapes}")
+    print()
+
+
+def apply_preformatter(inp, preformatter=None):
+    formatted_text = preformatter.generate_prompt(inp["text"])
+    inp["text"] = formatted_text
+    print(f"Formatted Prompt:\n{formatted_text}")
+    return inp
+
+
+def tokenize_dataset(inp, tokenizer):
+    text = inp["text"]
+    inp_encoded = tokenizer(text, return_tensors="pt")  # dict
+    inp_encoded.pop("attention_mask")
+    inp_encoded = inp_encoded["input_ids"]
+    inp_encoded = inp_encoded.to(torch.int32)
+    inp["input_ids"] = inp_encoded
+    inp.pop("text")
+    return inp
+
+
+def reset_cache(
+    num_chunks, num_key_value_heads, num_blocks_per_chunk, head_dim, max_cache_size
+):
+    cache = []
+    for i in range(num_chunks):
+        curr_chunk_cache = torch.zeros(
+            (
+                2 * num_blocks_per_chunk[i],
+                num_key_value_heads,
+                max_cache_size,  # generate fixed cache as torch dynamic shape cannot handle 2 dynamic dim
+                head_dim,
+            ),
+            dtype=torch.float32,
+        )
+        cache.append(curr_chunk_cache)
+    return cache
+
+
+def forward_and_save(
+    models,
+    hidden_state,
+    cache,
+    mask,
+    pos_emb,
+    model_input_dict,
+    num_blocks_per_chunk,
+    batch_name,
+):
+    for chunk_idx in range(len(models)):
+        cache_in = cache[chunk_idx]
+
+        try:
+            model_input_dict[str(chunk_idx)] = {
+                **model_input_dict[str(chunk_idx)],
+                batch_name: {
+                    "hidden_state": hidden_state,
+                    "mask": mask,
+                    "pos_emb": pos_emb,
+                    "cache": cache_in,
+                },
+            }
+        except:
+            model_input_dict[str(chunk_idx)] = {
+                batch_name: {
+                    "hidden_state": hidden_state,
+                    "mask": mask,
+                    "pos_emb": pos_emb,
+                    "cache": cache_in,
+                }
+            }
+        with torch.no_grad():
+            model_out = models[chunk_idx](
+                hidden_state, mask, pos_emb, *torch.split(cache_in, 1, dim=0)
+            )
+        hidden_state = model_out[0]
+        cache[chunk_idx] = torch.cat(
+            model_out[1 : 1 + 2 * num_blocks_per_chunk[chunk_idx]], dim=0
+        ).clone()
+    return hidden_state, cache
+
+
+def prepare_model_inputs(
+    inp,
+    models,
+    embedding_layer,
+    master_rot_emb,
+    num_blocks_per_chunk,
+    num_key_value_heads,
+    head_dim,
+    max_cache_size,
+    eos_token_id_tensor,
+    response_cap,
+):
+    model_input_dict = {str(i): None for i in range(len(models))}
+    input_ids = inp.pop("input_ids")
+    hidden_state = embedding_layer(torch.tensor(input_ids))
+    input_length = hidden_state.shape[1]
+    # Assume fixed cache size
+    mask = generate_mask(max_cache_size, 0, input_length, input_length)
+    pos_emb = master_rot_emb[:, :, :input_length, :]
+    # cache shape: num chunks of 2*num_block, num kv heads, c, head dim
+    cache = reset_cache(
+        len(models), num_key_value_heads, num_blocks_per_chunk, head_dim, max_cache_size
+    )  # empty kv
+    logits, cache = forward_and_save(
+        models,
+        hidden_state,
+        cache,
+        mask,
+        pos_emb,
+        model_input_dict,
+        num_blocks_per_chunk,
+        "prompt",
+    )
+    next_token_logits = logits[:, -1, :]  # last layer logits
+    next_token = torch.argmax(next_token_logits, dim=-1)
+    response_count = 0
+    seq_length = input_length
+    while True:
+        curr_input_id = next_token[:, None].to(torch.int32)
+        input_length = curr_input_id.shape[1]
+        hidden_state = embedding_layer(curr_input_id)
+        mask = generate_mask(max_cache_size, seq_length, input_length, input_length)
+        pos_emb = master_rot_emb[:, :, seq_length : seq_length + input_length, :]
+        logits, cache = forward_and_save(
+            models,
+            hidden_state,
+            cache,
+            mask,
+            pos_emb,
+            model_input_dict,
+            num_blocks_per_chunk,
+            f"response{response_count}",
+        )
+        next_token_logits = logits[:, -1, :]
+        next_token = torch.argmax(next_token_logits, dim=-1)
+        if next_token == eos_token_id_tensor:
+            print(f"Found EOS on batch: {response_count}")
+            break
+
+        response_count += 1
+        seq_length += input_length
+        if response_count == response_cap:
+            break
+
+    return model_input_dict
+
+
+def calibrate_model(model, cal_dataset, chunk_idx: str):
+    with torch.no_grad():
+        for inp in tqdm(cal_dataset, desc="Calibrating Model: "):
+            # pass prompt and response
+            for batch in tqdm(inp[chunk_idx].keys(), desc="Batch: "):
+                if inp[chunk_idx][batch] is not None:
+                    inputs_embeds = torch.tensor(inp[chunk_idx][batch]["hidden_state"])
+                    mask = torch.tensor(inp[chunk_idx][batch]["mask"])
+                    pos_emb = torch.tensor(inp[chunk_idx][batch]["pos_emb"])
+                    cache = torch.tensor(inp[chunk_idx][batch]["cache"])
+                    model(inputs_embeds, mask, pos_emb, *torch.split(cache, 1, dim=0))
+
+
+def export_to_et_ir(
+    output_folder,
+    exp_name,
+    model,
+    precision,
+    max_num_token,
+    max_cache_size,
+    chunk_idx,
+    export_shapes,
+    cal_dataset=None,
+):
+    print(f"Exporting Chunk {chunk_idx} to PTE")
+    example_inputs, dynamic_shapes = model.get_example_inputs(
+        max_num_token, max_cache_size, True
+    )
+    print("Getting pre autograd ATen Dialect Graph")
+    pre_autograd_aten_dialect = torch._export.capture_pre_autograd_graph(
+        model, example_inputs, dynamic_shapes=dynamic_shapes
+    )  # NOTE: Will be replaced with export
+    quantizer = NeuropilotQuantizer()
+    quantizer.setup_precision(getattr(Precision, precision))
+    prepared_graph = prepare_pt2e(pre_autograd_aten_dialect, quantizer)
+    # at this point quant min max are inf
+    if cal_dataset is not None:
+        calibrate_model(prepared_graph, cal_dataset, str(chunk_idx))
+    else:
+        prepared_graph(*example_inputs)  # dummy calibration
+    converted_graph = convert_pt2e(prepared_graph, fold_quantize=False)
+
+    print("Getting ATen Dialect Graph")
+    # Fixed Shape Export Here
+    for shape, ntok_and_cache in export_shapes.items():
+        dest_path = get_dest_path(output_folder, exp_name, shape, chunk_idx)
+        print(f"Exporting Shape {shape} to:\n{dest_path}")
+        example_inputs = model.get_example_inputs(*ntok_and_cache)
+        aten_dialect: exir.ExportedProgram = torch.export.export(
+            converted_graph, example_inputs
+        )
+
+        print("Lowering to Edge Dialect Graph")
+        edge_program: exir.EdgeProgramManager = exir.to_edge(
+            aten_dialect,
+            compile_config=exir.EdgeCompileConfig(_check_ir_validity=False),
+        )
+        del aten_dialect
+
+        print("Delegating Edge Program to Neuropilot Backend")
+        compile_spec = [
+            CompileSpec("gno", struct.pack("3s", b"LTS")),
+            CompileSpec("gno-exp", struct.pack("0s", b"")),
+            CompileSpec("gno-non-4d-tiling", struct.pack("0s", b"")),
+            CompileSpec("ImportForever", struct.pack("?", True)),
+        ]
+        partitioner = NeuropilotPartitioner(compile_spec)
+        delegated_program = edge_program.to_backend(partitioner)
+        print("Exported Delegated Program:")
+        print(delegated_program.exported_program())
+        del edge_program
+
+        print("Transforming delegated program to executorch backend")
+        executorch_program = delegated_program.to_executorch(
+            config=exir.ExecutorchBackendConfig(
+                memory_planning_pass=exir.passes.MemoryPlanningPass(
+                    alloc_graph_input=False,
+                    alloc_graph_output=False,
+                ),
+                extract_delegate_segments=True,
+            )
+        )
+
+        print(f"ET Model Dest: {dest_path}\n")
+        os.makedirs(dest_path.rsplit("/", 1)[0], exist_ok=True)
+        with open(dest_path, "wb") as file:
+            file.write(executorch_program.buffer)
+
+
+def main():
+    parser = get_argument_parser()
+    args = parser.parse_args()
+    args_sanity_checks(args)
+    if args.dataset is None:
+        exp_name = f"{get_exp_name(args.config)}_{args.precision}_dummy_cal_{args.num_chunks}_chunks"
+    else:
+        exp_name = (
+            f"{get_exp_name(args.config)}_{args.precision}_{args.num_chunks}_chunks"
+        )
+    print_args(args, exp_name)
+
+    config, weight_dir, tokenizer_class, chunk_class = resolve_model_classes(
+        args.config
+    )
+    tokenizer = tokenizer_class.from_pretrained(weight_dir)
+    if args.preformatter is not None:
+        preformatter = Preformatter(args.preformatter)
+
+    head_dim = int(config.hidden_size / config.num_attention_heads)
+
+    # Evenly distribute the layers across chunks.
+    num_blocks_per_chunk = [
+        (config.num_hidden_layers // args.num_chunks)
+        + (i < (config.num_hidden_layers % args.num_chunks))
+        for i in range(args.num_chunks)
+    ]
+    check_all_chunks_same_num_layer(num_blocks_per_chunk)  # noqa: F405
+
+    output_folder = os.path.join("pte", exp_name)
+
+    # Load all collected checkpoint files into one giant state_dict
+    state_dict = load_checkpoints(weight_dir)
+
+    dump_embedding_lut_for_cmdline(weight_dir, state_dict, config)
+
+    export_shapes, max_num_token, max_cache_size = get_export_shapes(args.shapes)
+    print(f"export shapes: {export_shapes}")
+    print(f"Max Num Token: {max_num_token}")
+    print(f"Max Cache Size: {max_cache_size}")
+
+    # Instantiate model chunks
+    print("Instantiating submodels")
+    models = []
+    for chunk_idx, num_blocks in enumerate(num_blocks_per_chunk):
+        chunk = chunk_class(
+            config,
+            num_blocks,
+            chunk_idx=chunk_idx,
+            dtype=torch.float32,
+            include_tail=(chunk_idx == args.num_chunks - 1),
+            jit_trace=True,
+        )
+        chunk = chunk.load_weights(state_dict, sum(num_blocks_per_chunk[:chunk_idx]))
+        models.append(chunk)
+
+    cal_dataset = None
+    if args.dataset is not None:
+        cal_dataset = load_dataset("text", data_files=args.dataset, split="train")
+        embedding_layer = get_embedding_layer(config, weight_dir, state_dict)
+        master_rot_emb = get_master_rot_emb(config, dtype=torch.float32)
+        if args.preformatter is not None:
+            cal_dataset = cal_dataset.map(
+                apply_preformatter, fn_kwargs={"preformatter": preformatter}
+            )
+        cal_dataset = cal_dataset.map(
+            tokenize_dataset, fn_kwargs={"tokenizer": tokenizer}
+        )
+        print("Preparing Model Calibration Inputs...")
+        cal_dataset = cal_dataset.map(
+            prepare_model_inputs,
+            fn_kwargs={
+                "models": models,
+                "embedding_layer": embedding_layer,
+                "master_rot_emb": master_rot_emb,
+                "num_blocks_per_chunk": num_blocks_per_chunk,
+                "num_key_value_heads": config.num_key_value_heads,
+                "head_dim": head_dim,
+                "max_cache_size": max_cache_size,
+                "eos_token_id_tensor": torch.tensor(tokenizer.eos_token_id),
+                "response_cap": args.response_cap,
+            },
+        )
+
+    for chunk_idx, chunk in enumerate(models):
+        export_to_et_ir(
+            output_folder,
+            exp_name,
+            chunk,
+            args.precision,
+            max_num_token,
+            max_cache_size,
+            chunk_idx,
+            export_shapes,
+            cal_dataset,
+        )
+
+
+if __name__ == "__main__":
+    main()
diff --git a/examples/mediatek/model_export_scripts/mobilenet_v2.py b/examples/mediatek/model_export_scripts/mobilenet_v2.py
new file mode 100755
index 0000000000..97f2ed884e
--- /dev/null
+++ b/examples/mediatek/model_export_scripts/mobilenet_v2.py
@@ -0,0 +1,121 @@
+# Copyright (c) MediaTek Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import argparse
+import os
+
+import torch
+from executorch.backends.mediatek import Precision
+from executorch.examples.mediatek.aot_utils.oss_utils.utils import (
+    build_executorch_binary,
+)
+from executorch.examples.models.mobilenet_v2 import MV2Model
+
+
+class NhwcWrappedModel(torch.nn.Module):
+    def __init__(self):
+        super(NhwcWrappedModel, self).__init__()
+        self.mobilenet = MV2Model().get_eager_model()
+
+    def forward(self, input1):
+        nchw_input1 = input1.permute(0, 3, 1, 2)
+        output = self.mobilenet(nchw_input1)
+        return output
+
+
+def get_dataset(dataset_path, data_size):
+    from torchvision import datasets, transforms
+
+    def get_data_loader():
+        preprocess = transforms.Compose(
+            [
+                transforms.Resize(256),
+                transforms.CenterCrop(224),
+                transforms.ToTensor(),
+                transforms.Normalize(
+                    mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]
+                ),
+            ]
+        )
+        imagenet_data = datasets.ImageFolder(dataset_path, transform=preprocess)
+        return torch.utils.data.DataLoader(
+            imagenet_data,
+            shuffle=True,
+        )
+
+    # prepare input data
+    inputs, targets, input_list = [], [], ""
+    data_loader = get_data_loader()
+    for index, data in enumerate(data_loader):
+        if index >= data_size:
+            break
+        feature, target = data
+        feature = feature.permute(0, 2, 3, 1)  # NHWC
+        inputs.append((feature,))
+        targets.append(target)
+        input_list += f"input_{index}_0.bin\n"
+
+    return inputs, targets, input_list
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "-d",
+        "--dataset",
+        help=(
+            "path to the validation folder of ImageNet dataset. "
+            "e.g. --dataset imagenet-mini/val "
+            "for https://www.kaggle.com/datasets/ifigotin/imagenetmini-1000)"
+        ),
+        type=str,
+        required=True,
+    )
+
+    parser.add_argument(
+        "-a",
+        "--artifact",
+        help="path for storing generated artifacts by this example. "
+        "Default ./mobilenetV2",
+        default="./mobilenetV2",
+        type=str,
+    )
+
+    args = parser.parse_args()
+
+    # ensure the working directory exist.
+    os.makedirs(args.artifact, exist_ok=True)
+
+    data_num = 100
+    inputs, targets, input_list = get_dataset(
+        dataset_path=f"{args.dataset}",
+        data_size=data_num,
+    )
+
+    # save data to inference on device
+    input_list_file = f"{args.artifact}/input_list.txt"
+    with open(input_list_file, "w") as f:
+        f.write(input_list)
+        f.flush()
+    for idx, data in enumerate(inputs):
+        for i, d in enumerate(data):
+            file_name = f"{args.artifact}/input_{idx}_{i}.bin"
+            d.detach().numpy().tofile(file_name)
+    for idx, data in enumerate(targets):
+        file_name = f"{args.artifact}/golden_{idx}_0.bin"
+        data.detach().numpy().tofile(file_name)
+
+    # build pte
+    pte_filename = "mobilenetV2_mtk"
+    instance = NhwcWrappedModel()
+    build_executorch_binary(
+        instance.eval(),
+        (torch.randn(1, 224, 224, 3),),
+        f"{args.artifact}/{pte_filename}",
+        inputs,
+        quant_dtype=Precision.A8W8,
+    )
diff --git a/examples/mediatek/model_export_scripts/mobilenet_v3.py b/examples/mediatek/model_export_scripts/mobilenet_v3.py
new file mode 100755
index 0000000000..fed2497ca2
--- /dev/null
+++ b/examples/mediatek/model_export_scripts/mobilenet_v3.py
@@ -0,0 +1,121 @@
+# Copyright (c) MediaTek Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import argparse
+import os
+
+import torch
+from executorch.backends.mediatek import Precision
+from executorch.examples.mediatek.aot_utils.oss_utils.utils import (
+    build_executorch_binary,
+)
+from executorch.examples.models.mobilenet_v3 import MV3Model
+
+
+class NhwcWrappedModel(torch.nn.Module):
+    def __init__(self):
+        super(NhwcWrappedModel, self).__init__()
+        self.mobilenet = MV3Model().get_eager_model()
+
+    def forward(self, input1):
+        nchw_input1 = input1.permute(0, 3, 1, 2)
+        output = self.mobilenet(nchw_input1)
+        return output
+
+
+def get_dataset(dataset_path, data_size):
+    from torchvision import datasets, transforms
+
+    def get_data_loader():
+        preprocess = transforms.Compose(
+            [
+                transforms.Resize(256),
+                transforms.CenterCrop(224),
+                transforms.ToTensor(),
+                transforms.Normalize(
+                    mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]
+                ),
+            ]
+        )
+        imagenet_data = datasets.ImageFolder(dataset_path, transform=preprocess)
+        return torch.utils.data.DataLoader(
+            imagenet_data,
+            shuffle=True,
+        )
+
+    # prepare input data
+    inputs, targets, input_list = [], [], ""
+    data_loader = get_data_loader()
+    for index, data in enumerate(data_loader):
+        if index >= data_size:
+            break
+        feature, target = data
+        feature = feature.permute(0, 2, 3, 1)  # NHWC
+        inputs.append((feature,))
+        targets.append(target)
+        input_list += f"input_{index}_0.bin\n"
+
+    return inputs, targets, input_list
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "-d",
+        "--dataset",
+        help=(
+            "path to the validation folder of ImageNet dataset. "
+            "e.g. --dataset imagenet-mini/val "
+            "for https://www.kaggle.com/datasets/ifigotin/imagenetmini-1000)"
+        ),
+        type=str,
+        required=True,
+    )
+
+    parser.add_argument(
+        "-a",
+        "--artifact",
+        help="path for storing generated artifacts by this example. "
+        "Default ./mobilenetV3",
+        default="./mobilenetV3",
+        type=str,
+    )
+
+    args = parser.parse_args()
+
+    # ensure the working directory exist.
+    os.makedirs(args.artifact, exist_ok=True)
+
+    data_num = 100
+    inputs, targets, input_list = get_dataset(
+        dataset_path=f"{args.dataset}",
+        data_size=data_num,
+    )
+
+    # save data to inference on device
+    input_list_file = f"{args.artifact}/input_list.txt"
+    with open(input_list_file, "w") as f:
+        f.write(input_list)
+        f.flush()
+    for idx, data in enumerate(inputs):
+        for i, d in enumerate(data):
+            file_name = f"{args.artifact}/input_{idx}_{i}.bin"
+            d.detach().numpy().tofile(file_name)
+    for idx, data in enumerate(targets):
+        file_name = f"{args.artifact}/golden_{idx}_0.bin"
+        data.detach().numpy().tofile(file_name)
+
+    # build pte
+    pte_filename = "mobilenetV3_mtk"
+    instance = NhwcWrappedModel()
+    build_executorch_binary(
+        instance.eval(),
+        (torch.randn(1, 224, 224, 3),),
+        f"{args.artifact}/{pte_filename}",
+        inputs,
+        quant_dtype=Precision.A8W8,
+    )
diff --git a/examples/mediatek/model_export_scripts/resnet18.py b/examples/mediatek/model_export_scripts/resnet18.py
new file mode 100755
index 0000000000..2f3af57e7f
--- /dev/null
+++ b/examples/mediatek/model_export_scripts/resnet18.py
@@ -0,0 +1,122 @@
+# Copyright (c) MediaTek Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import argparse
+import os
+
+import torch
+from executorch.backends.mediatek import Precision
+from executorch.examples.mediatek.aot_utils.oss_utils.utils import (
+    build_executorch_binary,
+)
+from executorch.examples.models.resnet import ResNet18Model
+
+
+class NhwcWrappedModel(torch.nn.Module):
+    def __init__(self):
+        super(NhwcWrappedModel, self).__init__()
+        self.resnet = ResNet18Model().get_eager_model()
+
+    def forward(self, input1):
+        nchw_input1 = input1.permute(0, 3, 1, 2)
+        output = self.resnet(nchw_input1)
+        return output
+
+
+def get_dataset(dataset_path, data_size):
+    from torchvision import datasets, transforms
+
+    def get_data_loader():
+        preprocess = transforms.Compose(
+            [
+                transforms.Resize(256),
+                transforms.CenterCrop(224),
+                transforms.ToTensor(),
+                transforms.Normalize(
+                    mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]
+                ),
+            ]
+        )
+        imagenet_data = datasets.ImageFolder(dataset_path, transform=preprocess)
+        return torch.utils.data.DataLoader(
+            imagenet_data,
+            shuffle=True,
+        )
+
+    # prepare input data
+    inputs, targets, input_list = [], [], ""
+    data_loader = get_data_loader()
+    for index, data in enumerate(data_loader):
+        if index >= data_size:
+            break
+        feature, target = data
+        feature = feature.permute(0, 2, 3, 1)  # NHWC
+        inputs.append((feature,))
+        targets.append(target)
+        input_list += f"input_{index}_0.bin\n"
+
+    return inputs, targets, input_list
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "-d",
+        "--dataset",
+        help=(
+            "path to the validation folder of ImageNet dataset. "
+            "e.g. --dataset imagenet-mini/val "
+            "for https://www.kaggle.com/datasets/ifigotin/imagenetmini-1000)"
+        ),
+        type=str,
+        required=True,
+    )
+
+    parser.add_argument(
+        "-a",
+        "--artifact",
+        help="path for storing generated artifacts by this example. "
+        "Default ./resnet18",
+        default="./resnet18",
+        type=str,
+    )
+
+    args = parser.parse_args()
+
+    # ensure the working directory exist.
+    os.makedirs(args.artifact, exist_ok=True)
+
+    data_num = 100
+    inputs, targets, input_list = get_dataset(
+        dataset_path=f"{args.dataset}",
+        data_size=data_num,
+    )
+
+    # save data to inference on device
+    input_list_file = f"{args.artifact}/input_list.txt"
+    with open(input_list_file, "w") as f:
+        f.write(input_list)
+        f.flush()
+    for idx, data in enumerate(inputs):
+        for i, d in enumerate(data):
+            file_name = f"{args.artifact}/input_{idx}_{i}.bin"
+            d.detach().numpy().tofile(file_name)
+    for idx, data in enumerate(targets):
+        file_name = f"{args.artifact}/golden_{idx}_0.bin"
+        aaa = data.detach().numpy()
+        data.detach().numpy().tofile(file_name)
+
+    # build pte
+    pte_filename = "resnet18_mtk"
+    instance = NhwcWrappedModel()
+    build_executorch_binary(
+        instance.eval(),
+        (torch.randn(1, 224, 224, 3),),
+        f"{args.artifact}/{pte_filename}",
+        inputs,
+        quant_dtype=Precision.A8W8,
+    )
diff --git a/examples/mediatek/model_export_scripts/resnet50.py b/examples/mediatek/model_export_scripts/resnet50.py
new file mode 100755
index 0000000000..ce23842447
--- /dev/null
+++ b/examples/mediatek/model_export_scripts/resnet50.py
@@ -0,0 +1,121 @@
+# Copyright (c) MediaTek Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import argparse
+import os
+
+import torch
+from executorch.backends.mediatek import Precision
+from executorch.examples.mediatek.aot_utils.oss_utils.utils import (
+    build_executorch_binary,
+)
+from executorch.examples.models.resnet import ResNet50Model
+
+
+class NhwcWrappedModel(torch.nn.Module):
+    def __init__(self):
+        super(NhwcWrappedModel, self).__init__()
+        self.resnet = ResNet50Model().get_eager_model()
+
+    def forward(self, input1):
+        nchw_input1 = input1.permute(0, 3, 1, 2)
+        output = self.resnet(nchw_input1)
+        return output
+
+
+def get_dataset(dataset_path, data_size):
+    from torchvision import datasets, transforms
+
+    def get_data_loader():
+        preprocess = transforms.Compose(
+            [
+                transforms.Resize(256),
+                transforms.CenterCrop(224),
+                transforms.ToTensor(),
+                transforms.Normalize(
+                    mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]
+                ),
+            ]
+        )
+        imagenet_data = datasets.ImageFolder(dataset_path, transform=preprocess)
+        return torch.utils.data.DataLoader(
+            imagenet_data,
+            shuffle=True,
+        )
+
+    # prepare input data
+    inputs, targets, input_list = [], [], ""
+    data_loader = get_data_loader()
+    for index, data in enumerate(data_loader):
+        if index >= data_size:
+            break
+        feature, target = data
+        feature = feature.permute(0, 2, 3, 1)  # NHWC
+        inputs.append((feature,))
+        targets.append(target)
+        input_list += f"input_{index}_0.bin\n"
+
+    return inputs, targets, input_list
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "-d",
+        "--dataset",
+        help=(
+            "path to the validation folder of ImageNet dataset. "
+            "e.g. --dataset imagenet-mini/val "
+            "for https://www.kaggle.com/datasets/ifigotin/imagenetmini-1000)"
+        ),
+        type=str,
+        required=True,
+    )
+
+    parser.add_argument(
+        "-a",
+        "--artifact",
+        help="path for storing generated artifacts by this example. "
+        "Default ./resnet50",
+        default="./resnet50",
+        type=str,
+    )
+
+    args = parser.parse_args()
+
+    # ensure the working directory exist.
+    os.makedirs(args.artifact, exist_ok=True)
+
+    data_num = 100
+    inputs, targets, input_list = get_dataset(
+        dataset_path=f"{args.dataset}",
+        data_size=data_num,
+    )
+
+    # save data to inference on device
+    input_list_file = f"{args.artifact}/input_list.txt"
+    with open(input_list_file, "w") as f:
+        f.write(input_list)
+        f.flush()
+    for idx, data in enumerate(inputs):
+        for i, d in enumerate(data):
+            file_name = f"{args.artifact}/input_{idx}_{i}.bin"
+            d.detach().numpy().tofile(file_name)
+    for idx, data in enumerate(targets):
+        file_name = f"{args.artifact}/golden_{idx}_0.bin"
+        data.detach().numpy().tofile(file_name)
+
+    # compile to pte
+    pte_filename = "resnet50_mtk"
+    instance = NhwcWrappedModel()
+    build_executorch_binary(
+        instance.eval(),
+        (torch.randn(1, 224, 224, 3),),
+        f"{args.artifact}/{pte_filename}",
+        inputs,
+        quant_dtype=Precision.A8W8,
+    )
diff --git a/examples/mediatek/models/llm_models/__init__.py b/examples/mediatek/models/llm_models/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/examples/mediatek/models/llm_models/configuration_base.py b/examples/mediatek/models/llm_models/configuration_base.py
new file mode 100644
index 0000000000..354f733cc1
--- /dev/null
+++ b/examples/mediatek/models/llm_models/configuration_base.py
@@ -0,0 +1,32 @@
+from abc import ABC, abstractmethod
+
+
+class BaseConfig(ABC):
+    def __init__(self):
+        self.model_type = "base"
+        self.vocab_size = None
+        self.hidden_size = 0
+        self.intermediate_size = 0
+        self.num_hidden_layers = 0
+        self.num_attention_heads = 0
+        self.num_key_value_heads = 0
+        self.position_embedding = None
+        self.max_position_embeddings = 0
+        self.ntk_scaling_factor = 1.0
+        self.norm = None
+        self.norm_eps = 0
+
+        self.bos_token_id = None
+        self.pad_token_id = None
+        self.eos_token_id = None
+        self.unk_token_id = None
+
+        self.use_stable_embedding = False
+        self.tie_word_embeddings = False
+        self.combine_qkv = False
+
+        self.tokenizer = "default"
+
+    @abstractmethod
+    def print_config(self, response_handler):
+        pass
diff --git a/examples/mediatek/models/llm_models/configuration_llama.py b/examples/mediatek/models/llm_models/configuration_llama.py
new file mode 100644
index 0000000000..159caac662
--- /dev/null
+++ b/examples/mediatek/models/llm_models/configuration_llama.py
@@ -0,0 +1,135 @@
+# coding=utf-8
+# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
+#
+# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
+# and OPT implementations in this library. It has been modified from its
+# original forms to accommodate minor architectural differences compared
+# to GPT-NeoX and OPT used by the Meta AI team that trained the model.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from contextlib import nullcontext
+
+from models.llm_models.configuration_base import BaseConfig
+
+
+# flake8: noqa: C901
+
+
+class LlamaConfig(BaseConfig):
+    def __init__(
+        self,
+        vocab_size=None,
+        hidden_size=None,
+        intermediate_size=None,
+        num_hidden_layers=None,
+        num_attention_heads=None,
+        max_position_embeddings=None,
+        norm="RMSNorm",
+        position_embedding="rope",
+        norm_eps=1e-6,
+        pad_token_id=0,
+        bos_token_id=1,
+        eos_token_id=2,
+        unk_token_id=0,
+        use_stable_embedding=False,
+        tie_word_embeddings=False,
+        combine_qkv=False,
+        response_handler=None,
+        **kwargs,
+    ):
+        super().__init__()
+
+        self.model_type = "llama"
+        self.vocab_size = vocab_size
+        if self.vocab_size is None:
+            raise KeyError("vocab_size is required but missing from config.json")
+        self.hidden_size = hidden_size
+        if self.hidden_size is None:
+            raise KeyError("hidden_size is required but missing from config.json")
+        self.intermediate_size = intermediate_size
+        if self.intermediate_size is None:
+            raise KeyError("intermediate_size is required but missing from config.json")
+        self.num_hidden_layers = num_hidden_layers
+        if self.num_hidden_layers is None:
+            raise KeyError("num_hidden_layers is required but missing from config.json")
+        self.num_attention_heads = num_attention_heads
+        if self.num_attention_heads is None:
+            raise KeyError(
+                "num_attention_heads is required but missing from config.json"
+            )
+        self.num_key_value_heads = kwargs.pop(
+            "num_key_value_heads", self.num_attention_heads
+        )
+        if self.num_attention_heads % self.num_key_value_heads != 0:
+            raise RuntimeError(
+                f"num_attention_heads ({self.num_attention_heads}) must be exactly "
+                f"divisible by num_key_value_heads ({self.num_key_value_heads})"
+            )
+        if norm not in ["RMSNorm", "LayerNorm"]:
+            raise ValueError("norm must be one of: RMSNorm (default) or LayerNorm")
+        self.norm = norm
+        self.norm_eps = kwargs.pop("rms_norm_eps", norm_eps)
+        self.bos_token_id = bos_token_id
+        self.eos_token_id = eos_token_id
+        self.pad_token_id = pad_token_id
+        self.unk_token_id = unk_token_id
+
+        if position_embedding not in ["rope", "alibi"]:
+            raise ValueError("Positional embedding must be one of: rope, alibi")
+        self.position_embedding = position_embedding
+        self.ntk_scaling_factor = kwargs.pop("ntk_scaling_factor", 1.0)
+        if self.ntk_scaling_factor != 1.0 and self.position_embedding != "rope":
+            raise KeyError("ntk_scaling_factor is strictly for position_embedding=rope")
+        self.max_position_embeddings = max_position_embeddings
+        if self.max_position_embeddings is None and self.position_embedding == "rope":
+            raise KeyError(
+                "max_position_embeddings is required for position_embedding=rope but missing from config.json"
+            )
+
+        self.use_stable_embedding = use_stable_embedding
+        self.tie_word_embeddings = tie_word_embeddings
+        self.combine_qkv = combine_qkv
+
+        self.tokenizer = kwargs.pop("tokenizer", self.tokenizer)
+
+        if response_handler is None:
+            response_handler = nullcontext()
+        if kwargs.pop("verbose", True):
+            self.print_config(response_handler)
+
+    def print_config(self, response_handler):
+        with response_handler:
+            print(f"{self.model_type} config:")
+            print(f"Hidden size:          {self.hidden_size}")
+            print(f"Intermediate size:    {self.intermediate_size}")
+            print(f"Num layers:           {self.num_hidden_layers}")
+            print(f"Num attention heads:  {self.num_attention_heads}")
+            print(f"Num KV heads:         {self.num_key_value_heads}")
+            print(f"Positional embedding: {self.position_embedding}")
+            if self.position_embedding == "rope":
+                print(f"Max pos emb:          {self.max_position_embeddings}")
+                if self.ntk_scaling_factor != 1.0:
+                    print(f"NTK scaling factor:   {self.ntk_scaling_factor}")
+            print(f"Norm type:            {self.norm}")
+            print(f"Norm epsilon:         {self.norm_eps}")
+            print(f"BOS token id:         {self.bos_token_id}")
+            print(f"EOS token id:         {self.eos_token_id}")
+            print(f"PAD token id:         {self.pad_token_id}")
+            print(f"UNK token id:         {self.unk_token_id}")
+            print(f"Vocab size:           {self.vocab_size}")
+            print(f"Use stable embedding: {self.use_stable_embedding}")
+            print(f"Tie word embeddings:  {self.tie_word_embeddings}")
+            print(f"Combine QKV:          {self.combine_qkv}")
+            if self.tokenizer != "default":
+                print(f"Tokenizer:            {self.tokenizer}")
+            print()
diff --git a/examples/mediatek/models/llm_models/modeling_base.py b/examples/mediatek/models/llm_models/modeling_base.py
new file mode 100644
index 0000000000..ee6b419b93
--- /dev/null
+++ b/examples/mediatek/models/llm_models/modeling_base.py
@@ -0,0 +1,38 @@
+from abc import ABC, abstractmethod
+
+import torch
+
+
+class BaseModelChunk(ABC, torch.nn.Module):
+    def __init__(
+        self,
+        config,
+        num_blocks,
+        chunk_idx,
+        dtype=torch.float32,
+        include_tail=False,
+        return_attn=False,
+        jit_trace=False,
+    ):
+        torch.nn.Module.__init__(self)
+        torch.set_default_dtype(dtype)
+        self.dtype = dtype
+        self.config = config
+        self.num_blocks = num_blocks
+        self.chunk_idx = chunk_idx
+        self.include_tail = include_tail
+        self.return_attn = return_attn
+        self.jit_trace = jit_trace
+        self.device_list = []
+
+    @abstractmethod
+    def forward(self):
+        pass
+
+    @abstractmethod
+    def load_weights(self, state_dict, state_dict_start_idx, verbose):
+        pass
+
+    @abstractmethod
+    def get_example_inputs(self, num_token, cache_size, get_dym_shape):
+        pass
diff --git a/examples/mediatek/models/llm_models/modeling_common.py b/examples/mediatek/models/llm_models/modeling_common.py
new file mode 100644
index 0000000000..7beffbe266
--- /dev/null
+++ b/examples/mediatek/models/llm_models/modeling_common.py
@@ -0,0 +1,767 @@
+"""Common backbone across multiple models"""
+
+import math
+
+import numpy as np
+import torch
+from models.llm_models.configuration_base import BaseConfig
+from models.llm_models.modeling_base import BaseModelChunk
+from torch import nn
+from torch.export import Dim
+
+torch.manual_seed(42)
+np.random.seed(42)
+
+
+# flake8: noqa: C901
+
+
+class RMSNorm(nn.Module):
+    def __init__(self, hidden_size, eps=1e-6):
+        super().__init__()
+        self.weight = nn.Parameter(torch.ones(hidden_size))
+        self.variance_epsilon = eps
+
+    def forward(self, hidden_states):
+        variance = hidden_states.pow(2).mean(-1, keepdim=True)
+        hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)
+        return self.weight * hidden_states
+
+
+class Gelu(nn.Module):
+    def __init__(self):
+        super().__init__()
+
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        return x * torch.sigmoid(1.702 * x)
+
+
+class MLP(nn.Module):
+    def __init__(self, config: BaseConfig):
+        super().__init__()
+        hidden_size = config.hidden_size
+        intermediate_size = config.intermediate_size
+
+        self.gate_proj = nn.Linear(hidden_size, intermediate_size)
+        self.down_proj = nn.Linear(intermediate_size, hidden_size)
+        self.up_proj = nn.Linear(hidden_size, intermediate_size)
+
+    def forward(self, x):
+        gate = self.gate_proj(x)
+        up = self.up_proj(x)
+        pre_down = gate * torch.sigmoid(gate) * up
+        down = self.down_proj(pre_down)
+
+        return down
+
+
+class Attention(nn.Module):
+    def __init__(self, config: BaseConfig):
+        super().__init__()
+        self.config = config
+        self.hidden_size = config.hidden_size
+        self.num_heads = config.num_attention_heads
+        self.num_key_value_heads = config.num_key_value_heads
+        self.num_key_value_groups = self.num_heads // self.num_key_value_heads
+        self.head_dim = self.hidden_size // self.num_heads
+        self.attn_scale = math.sqrt(self.head_dim)
+
+        if config.combine_qkv:
+            self.qkv_proj = nn.Linear(
+                self.hidden_size,
+                (2 * self.num_key_value_heads * self.head_dim) + self.hidden_size,
+            )
+        else:
+            self.q_proj = nn.Linear(self.hidden_size, self.num_heads * self.head_dim)
+            self.k_proj = nn.Linear(
+                self.hidden_size, self.num_key_value_heads * self.head_dim
+            )
+            self.v_proj = nn.Linear(
+                self.hidden_size, self.num_key_value_heads * self.head_dim
+            )
+        self.o_proj = nn.Linear(self.num_heads * self.head_dim, self.hidden_size)
+
+    def apply_rotary_pos_emb_mtk(self, q, k, cos, sin):
+        q1 = q[..., : q.shape[-1] // 2]
+        q2 = q[..., q.shape[-1] // 2 :]
+        q_rotated = torch.cat((-q2, q1), dim=-1)
+        k1 = k[..., : k.shape[-1] // 2]
+        k2 = k[..., k.shape[-1] // 2 :]
+        k_rotated = torch.cat((-k2, k1), dim=-1)
+
+        q_embed = q * cos + q_rotated * sin
+        k_embed = k * cos + k_rotated * sin
+        return q_embed, k_embed
+
+    def repeat_kv(self, hidden_states, batch, q_len, n_rep):
+        if isinstance(hidden_states, list):
+            output = []
+            for hs in hidden_states:
+                output.append(
+                    hs.repeat(1, 1, n_rep, 1).view(batch, 1, q_len, self.head_dim)
+                )
+            return output
+        else:
+            hidden_states = hidden_states.repeat(1, 1, n_rep, 1)
+            return hidden_states.view(batch, self.num_heads, q_len, self.head_dim)
+
+    def forward(
+        self,
+        hidden_states,  # (b, t, 4096)
+        mask,  # (b, 1, t, c+t)
+        pos_emb,  # (b, 2, t, head dim)
+        past_key,  # (b, num kv heads, c, head dim)
+        past_value,  # (b, num kv heads, c, head dim)
+    ):
+        bsz, q_len, _ = hidden_states.size()
+        c_len = past_key.size()[2]
+
+        if self.config.combine_qkv:
+            proj = self.qkv_proj(hidden_states)
+            query_states = (
+                proj[:, :, : self.config.hidden_size]
+                .view(bsz, q_len, self.num_heads, self.head_dim)
+                .transpose(1, 2)
+            )
+            key_states = (
+                proj[
+                    :,
+                    :,
+                    self.config.hidden_size : self.config.hidden_size
+                    + self.num_key_value_heads * self.head_dim,
+                ]
+                .view(bsz, q_len, self.num_key_value_heads, self.head_dim)
+                .transpose(1, 2)
+            )
+            value_states = (
+                proj[
+                    :,
+                    :,
+                    self.config.hidden_size
+                    + self.num_key_value_heads * self.head_dim :,
+                ]
+                .view(bsz, q_len, self.num_key_value_heads, self.head_dim)
+                .transpose(1, 2)
+            )
+        else:
+            query_states = (
+                self.q_proj(hidden_states)
+                .view(bsz, q_len, self.num_heads, self.head_dim)
+                .transpose(1, 2)
+            )
+            key_states = (
+                self.k_proj(hidden_states)
+                .view(bsz, q_len, self.num_key_value_heads, self.head_dim)
+                .transpose(1, 2)
+            )
+            value_states = (
+                self.v_proj(hidden_states)
+                .view(bsz, q_len, self.num_key_value_heads, self.head_dim)
+                .transpose(1, 2)
+            )
+
+        if self.config.position_embedding == "rope":
+            cos, sin = torch.split(pos_emb, 1, dim=1)
+            query_states, key_states = self.apply_rotary_pos_emb_mtk(
+                query_states, key_states, cos, sin
+            )
+
+        key_states = torch.cat([past_key, key_states], dim=2)
+        value_states = torch.cat([past_value, value_states], dim=2)
+        key_states_out = key_states
+        value_states_out = value_states
+        if self.num_key_value_groups > 1:
+            key_states = self.repeat_kv(
+                key_states, bsz, q_len + c_len, self.num_key_value_groups
+            )
+            value_states = self.repeat_kv(
+                value_states, bsz, q_len + c_len, self.num_key_value_groups
+            )
+        attn_weights = (
+            torch.matmul(query_states, key_states.transpose(2, 3)) / self.attn_scale
+        )
+        attn_weights = attn_weights + mask
+        attn_weights = nn.functional.softmax(attn_weights, dim=-1)
+
+        attn_output = torch.matmul(attn_weights, value_states)
+        attn_output = attn_output.transpose(1, 2)
+        attn_output = attn_output.reshape(bsz, q_len, self.hidden_size)
+        attn_output = self.o_proj(attn_output)
+
+        key_states_out = key_states_out[:, :, q_len:, :]
+        value_states_out = value_states_out[:, :, q_len:, :]
+
+        return attn_output, key_states_out, value_states_out
+
+
+class DecoderLayer(nn.Module):
+    def __init__(
+        self,
+        config: BaseConfig,
+        return_attn=False,
+        jit_trace=False,
+        attn_class=Attention,
+        mlp_class=MLP,
+    ):
+        super().__init__()
+        self.hidden_size = config.hidden_size
+        self.return_attn = return_attn
+        self.jit_trace = jit_trace
+        self.self_attn = attn_class(config)
+        self.mlp = mlp_class(config)
+        if config.norm == "RMSNorm":
+            self.input_norm = RMSNorm(config.hidden_size, eps=config.norm_eps).float()
+            self.post_attention_norm = RMSNorm(
+                config.hidden_size, eps=config.norm_eps
+            ).float()
+        else:
+            self.input_norm = nn.LayerNorm(
+                config.hidden_size, eps=config.norm_eps
+            ).float()
+            self.post_attention_norm = nn.LayerNorm(
+                config.hidden_size, eps=config.norm_eps
+            ).float()
+
+    def forward(
+        self,
+        hidden_states,  # (b, t, hidden_dim)
+        mask,  # (b, 1, t, c+t)
+        pos_emb,  # (b, 2, t, head_dim)
+        past_key,  # (b, num_kv_head, c, head_dim)
+        past_value,  # (b, num_kv_head, c, head_dim)
+    ):
+        residual = hidden_states
+        if self.jit_trace:
+            hidden_states = self.input_norm(hidden_states)
+        else:
+            dtype = hidden_states.dtype
+            hidden_states = self.input_norm(hidden_states.to(torch.float32)).to(dtype)
+
+        layer_device = hidden_states.device
+
+        # Self Attention
+        attn_output, present_key, present_value = self.self_attn(
+            hidden_states=hidden_states.to(layer_device),
+            mask=mask.to(layer_device),
+            pos_emb=pos_emb.to(layer_device),
+            past_key=past_key.to(layer_device),
+            past_value=past_value.to(layer_device),
+        )
+        hidden_states = residual.to(layer_device) + attn_output
+
+        # Fully Connected
+        residual = hidden_states
+        if self.jit_trace:
+            hidden_states = self.post_attention_norm(hidden_states)
+        else:
+            dtype = hidden_states.dtype
+            hidden_states = self.post_attention_norm(
+                hidden_states.to(torch.float32)
+            ).to(dtype)
+        hidden_states = self.mlp(hidden_states)
+        hidden_states = residual + hidden_states
+
+        if self.return_attn:
+            return hidden_states, present_key, present_value, attn_output
+        return hidden_states, present_key, present_value
+
+
+class ModelChunk(BaseModelChunk):
+    def __init__(
+        self,
+        config: BaseConfig,
+        num_blocks,
+        chunk_idx,
+        dtype=torch.float32,
+        include_tail=False,
+        return_attn=False,
+        jit_trace=False,
+        decoder_class=DecoderLayer,
+    ):
+        super().__init__(
+            config, num_blocks, chunk_idx, dtype, include_tail, return_attn, jit_trace
+        )
+        self.head_dim = config.hidden_size // config.num_attention_heads
+        self.layers = nn.ModuleList(
+            [
+                decoder_class(config, return_attn=return_attn, jit_trace=jit_trace)
+                for _ in range(num_blocks)
+            ]
+        )
+
+        if self.config.use_stable_embedding and self.chunk_idx == 0:
+            self.embed_layer_norm = nn.LayerNorm(config.hidden_size).float()
+
+        if self.include_tail:
+            if config.norm == "RMSNorm":
+                self.norm = RMSNorm(config.hidden_size, eps=config.norm_eps).float()
+            else:
+                self.norm = nn.LayerNorm(
+                    config.hidden_size, eps=config.norm_eps
+                ).float()
+            self.lm_head = nn.Linear(config.hidden_size, config.vocab_size)
+
+    def forward(self, inputs_embeds, mask, pos_emb, *cache):
+        if not self.jit_trace:
+            assert (
+                len(cache) == 2 * self.num_blocks
+            ), f"split cache wrong number of input caches: {len(cache)} != 2*{self.num_blocks}"
+            assert (
+                cache[0].shape[0] == inputs_embeds.size()[0]
+            ), f"split cache batch size mismatch: {cache[0].shape[0]} != {inputs_embeds.size()[0]}"
+
+        inputs_embeds = inputs_embeds.to(self.device_list[0])
+
+        if self.config.use_stable_embedding and self.chunk_idx == 0:
+            if self.jit_trace:
+                inputs_embeds = self.embed_layer_norm(inputs_embeds)
+            else:
+                inputs_embeds = self.embed_layer_norm(
+                    inputs_embeds.to(torch.float32)
+                ).to(self.dtype)
+
+        hidden_states = inputs_embeds
+
+        next_key_cache = []
+        next_value_cache = []
+        if self.return_attn:
+            attn_outputs = []
+
+        # decoder layers
+        for idx, decoder_layer in enumerate(self.layers):
+            decoder_outputs = decoder_layer(
+                hidden_states.to(self.device_list[idx]),
+                mask=mask.to(self.device_list[idx]),
+                pos_emb=pos_emb.to(self.device_list[idx]),
+                past_key=cache[idx].to(self.device_list[idx]),
+                past_value=cache[self.num_blocks + idx].to(self.device_list[idx]),
+            )
+            hidden_states = decoder_outputs[0]
+            next_key_cache.append(decoder_outputs[1].to(inputs_embeds.device))
+            next_value_cache.append(decoder_outputs[2].to(inputs_embeds.device))
+            if self.return_attn:
+                attn_outputs.append(decoder_outputs[3].to(inputs_embeds.device))
+
+        if self.include_tail:
+            if self.jit_trace:
+                hidden_states = self.norm(hidden_states)
+            else:
+                hidden_states = self.norm(hidden_states.to(torch.float32)).to(
+                    self.dtype
+                )
+            hidden_states = self.lm_head(hidden_states)
+
+        if self.return_attn:
+            return hidden_states, *next_key_cache, *next_value_cache, *attn_outputs
+        return hidden_states, *next_key_cache, *next_value_cache
+
+    def load_weights(self, state_dict, state_dict_start_idx):
+        if state_dict is None:
+            fake_weights = True
+        else:
+            expected_subkey = f"layers.{state_dict_start_idx}.self_attn.o_proj.weight"
+            state_dict_keys = list(state_dict.keys())
+            temp_key = None
+            input_norm_subkey = None
+            post_attention_norm_subkey = None
+            for key in state_dict_keys:
+                if expected_subkey in key:
+                    temp_key = key
+                if (
+                    f"layers.{state_dict_start_idx}" in key
+                    and "norm" in key
+                    and "input" in key
+                ):
+                    input_norm_subkey = key.split(".")[-2]
+                if (
+                    f"layers.{state_dict_start_idx}" in key
+                    and "norm" in key
+                    and "post_attention" in key
+                ):
+                    post_attention_norm_subkey = key.split(".")[-2]
+            if temp_key is None:
+                raise KeyError(
+                    f"Cannot find layer {state_dict_start_idx}'s o_proj weight inside state_dict. "
+                    f"Please ensure o_proj weight key contains: {expected_subkey}"
+                )
+            if input_norm_subkey is None:
+                raise KeyError(
+                    f"Cannot find layer {state_dict_start_idx}'s input norm weight inside state_dict. "
+                    f"Please ensure input norm weight key contains: layers.{state_dict_start_idx}, norm, and input inside"
+                    " the key string."
+                )
+            if post_attention_norm_subkey is None:
+                raise KeyError(
+                    f"Cannot find layer {state_dict_start_idx}'s post attention norm weight inside state_dict."
+                    f" Please ensure post attention norm weight key contains: layers.{state_dict_start_idx}, norm, and "
+                    "post_attention inside the key string."
+                )
+            prefix = temp_key.split(expected_subkey)[0]
+            fake_weights = False
+
+        outer_layer_idx = state_dict_start_idx
+        self.device_list = []
+        if self.config.use_stable_embedding and self.chunk_idx == 0:
+            if fake_weights:
+                temp_state_dict = {
+                    "embed_layer_norm.weight": torch.rand(
+                        self.config.hidden_size, dtype=torch.float32
+                    ),
+                    "embed_layer_norm.bias": torch.zeros(
+                        self.config.hidden_size, dtype=torch.float32
+                    ),
+                }
+            else:
+                temp_state_dict = {
+                    "embed_layer_norm.weight": state_dict.pop(
+                        f"{prefix}embed_layer_norm.weight"
+                    ).to(torch.float32),
+                    "embed_layer_norm.bias": state_dict.pop(
+                        f"{prefix}embed_layer_norm.bias",
+                        torch.zeros(self.config.hidden_size, dtype=self.dtype),
+                    ).to(torch.float32),
+                }
+        else:
+            temp_state_dict = {}
+
+        for inner_layer_idx in range(self.num_blocks):
+            if fake_weights:
+                if self.config.combine_qkv:
+                    temp_state_dict[
+                        f"layers.{inner_layer_idx}.self_attn.qkv_proj.weight"
+                    ] = torch.rand(
+                        3 * self.config.hidden_size,
+                        self.config.hidden_size,
+                        dtype=self.dtype,
+                    )
+                    temp_state_dict[
+                        f"layers.{inner_layer_idx}.self_attn.qkv_proj.bias"
+                    ] = torch.zeros(
+                        (2 * self.config.num_key_value_heads * self.head_dim)
+                        + self.config.hidden_size,
+                        dtype=self.dtype,
+                    )
+                else:
+                    temp_state_dict = {
+                        **temp_state_dict,
+                        **{
+                            f"layers.{inner_layer_idx}.self_attn.q_proj.weight": torch.rand(
+                                self.config.hidden_size,
+                                self.config.hidden_size,
+                                dtype=self.dtype,
+                            ),
+                            f"layers.{inner_layer_idx}.self_attn.k_proj.weight": torch.rand(
+                                self.config.num_key_value_heads * self.head_dim,
+                                self.config.hidden_size,
+                                dtype=self.dtype,
+                            ),
+                            f"layers.{inner_layer_idx}.self_attn.v_proj.weight": torch.rand(
+                                self.config.num_key_value_heads * self.head_dim,
+                                self.config.hidden_size,
+                                dtype=self.dtype,
+                            ),
+                            f"layers.{inner_layer_idx}.self_attn.q_proj.bias": torch.zeros(
+                                self.config.hidden_size, dtype=self.dtype
+                            ),
+                            f"layers.{inner_layer_idx}.self_attn.k_proj.bias": torch.zeros(
+                                self.config.num_key_value_heads * self.head_dim,
+                                dtype=self.dtype,
+                            ),
+                            f"layers.{inner_layer_idx}.self_attn.v_proj.bias": torch.zeros(
+                                self.config.num_key_value_heads * self.head_dim,
+                                dtype=self.dtype,
+                            ),
+                        },
+                    }
+                temp_state_dict = {
+                    **temp_state_dict,
+                    **{
+                        f"layers.{inner_layer_idx}.self_attn.o_proj.weight": torch.rand(
+                            self.config.hidden_size,
+                            self.config.hidden_size,
+                            dtype=self.dtype,
+                        ),
+                        f"layers.{inner_layer_idx}.mlp.gate_proj.weight": torch.rand(
+                            self.config.intermediate_size,
+                            self.config.hidden_size,
+                            dtype=self.dtype,
+                        ),
+                        f"layers.{inner_layer_idx}.mlp.down_proj.weight": torch.rand(
+                            self.config.hidden_size,
+                            self.config.intermediate_size,
+                            dtype=self.dtype,
+                        ),
+                        f"layers.{inner_layer_idx}.mlp.up_proj.weight": torch.rand(
+                            self.config.intermediate_size,
+                            self.config.hidden_size,
+                            dtype=self.dtype,
+                        ),
+                        f"layers.{inner_layer_idx}.input_norm.weight": torch.rand(
+                            self.config.hidden_size, dtype=torch.float32
+                        ),
+                        f"layers.{inner_layer_idx}.post_attention_norm.weight": torch.rand(
+                            self.config.hidden_size, dtype=torch.float32
+                        ),
+                        f"layers.{inner_layer_idx}.self_attn.o_proj.bias": torch.zeros(
+                            self.config.hidden_size, dtype=self.dtype
+                        ),
+                        f"layers.{inner_layer_idx}.mlp.gate_proj.bias": torch.zeros(
+                            self.config.intermediate_size, dtype=self.dtype
+                        ),
+                        f"layers.{inner_layer_idx}.mlp.down_proj.bias": torch.zeros(
+                            self.config.hidden_size, dtype=self.dtype
+                        ),
+                        f"layers.{inner_layer_idx}.mlp.up_proj.bias": torch.zeros(
+                            self.config.intermediate_size, dtype=self.dtype
+                        ),
+                    },
+                }
+
+                if self.config.norm == "LayerNorm":
+                    temp_state_dict = {
+                        **temp_state_dict,
+                        **{
+                            f"layers.{inner_layer_idx}.input_norm.bias": torch.zeros(
+                                self.config.hidden_size, dtype=torch.float32
+                            ),
+                            f"layers.{inner_layer_idx}.post_attention_norm.bias": torch.zeros(
+                                self.config.hidden_size, dtype=torch.float32
+                            ),
+                        },
+                    }
+
+            else:
+                if self.config.combine_qkv:
+                    temp_state_dict[
+                        f"layers.{inner_layer_idx}.self_attn.qkv_proj.weight"
+                    ] = state_dict.pop(
+                        f"{prefix}layers.{outer_layer_idx}.self_attn.qkv_proj.weight"
+                    )
+                    temp_state_dict[
+                        f"layers.{inner_layer_idx}.self_attn.qkv_proj.bias"
+                    ] = state_dict.pop(
+                        f"{prefix}layers.{outer_layer_idx}.self_attn.qkv_proj.bias",
+                        torch.zeros(
+                            (2 * self.config.num_key_value_heads * self.head_dim)
+                            + self.config.hidden_size,
+                            dtype=self.dtype,
+                        ),
+                    )
+                else:
+                    temp_state_dict = {
+                        **temp_state_dict,
+                        **{
+                            f"layers.{inner_layer_idx}.self_attn.q_proj.weight": state_dict.pop(
+                                f"{prefix}layers.{outer_layer_idx}.self_attn.q_proj.weight"
+                            ),
+                            f"layers.{inner_layer_idx}.self_attn.k_proj.weight": state_dict.pop(
+                                f"{prefix}layers.{outer_layer_idx}.self_attn.k_proj.weight"
+                            ),
+                            f"layers.{inner_layer_idx}.self_attn.v_proj.weight": state_dict.pop(
+                                f"{prefix}layers.{outer_layer_idx}.self_attn.v_proj.weight"
+                            ),
+                            f"layers.{inner_layer_idx}.self_attn.q_proj.bias": state_dict.pop(
+                                f"{prefix}layers.{outer_layer_idx}.self_attn.q_proj.bias",
+                                torch.zeros(self.config.hidden_size, dtype=self.dtype),
+                            ),
+                            f"layers.{inner_layer_idx}.self_attn.k_proj.bias": state_dict.pop(
+                                f"{prefix}layers.{outer_layer_idx}.self_attn.k_proj.bias",
+                                torch.zeros(
+                                    self.config.num_key_value_heads * self.head_dim,
+                                    dtype=self.dtype,
+                                ),
+                            ),
+                            f"layers.{inner_layer_idx}.self_attn.v_proj.bias": state_dict.pop(
+                                f"{prefix}layers.{outer_layer_idx}.self_attn.v_proj.bias",
+                                torch.zeros(
+                                    self.config.num_key_value_heads * self.head_dim,
+                                    dtype=self.dtype,
+                                ),
+                            ),
+                        },
+                    }
+
+                temp_state_dict = {
+                    **temp_state_dict,
+                    **{
+                        f"layers.{inner_layer_idx}.self_attn.o_proj.weight": state_dict.pop(
+                            f"{prefix}layers.{outer_layer_idx}.self_attn.o_proj.weight"
+                        ),
+                        f"layers.{inner_layer_idx}.mlp.gate_proj.weight": state_dict.pop(
+                            f"{prefix}layers.{outer_layer_idx}.mlp.gate_proj.weight"
+                        ),
+                        f"layers.{inner_layer_idx}.mlp.down_proj.weight": state_dict.pop(
+                            f"{prefix}layers.{outer_layer_idx}.mlp.down_proj.weight"
+                        ),
+                        f"layers.{inner_layer_idx}.mlp.up_proj.weight": state_dict.pop(
+                            f"{prefix}layers.{outer_layer_idx}.mlp.up_proj.weight"
+                        ),
+                        f"layers.{inner_layer_idx}.input_norm.weight": state_dict.pop(
+                            f"{prefix}layers.{outer_layer_idx}.{input_norm_subkey}.weight"
+                        ).to(torch.float32),
+                        f"layers.{inner_layer_idx}.post_attention_norm.weight": state_dict.pop(
+                            f"{prefix}layers.{outer_layer_idx}.{post_attention_norm_subkey}.weight"
+                        ).to(
+                            torch.float32
+                        ),
+                        f"layers.{inner_layer_idx}.self_attn.o_proj.bias": state_dict.pop(
+                            f"{prefix}layers.{outer_layer_idx}.self_attn.o_proj.bias",
+                            torch.zeros(self.config.hidden_size, dtype=self.dtype),
+                        ),
+                        f"layers.{inner_layer_idx}.mlp.gate_proj.bias": state_dict.pop(
+                            f"{prefix}layers.{outer_layer_idx}.mlp.gate_proj.bias",
+                            torch.zeros(
+                                self.config.intermediate_size, dtype=self.dtype
+                            ),
+                        ),
+                        f"layers.{inner_layer_idx}.mlp.down_proj.bias": state_dict.pop(
+                            f"{prefix}layers.{outer_layer_idx}.mlp.down_proj.bias",
+                            torch.zeros(self.config.hidden_size, dtype=self.dtype),
+                        ),
+                        f"layers.{inner_layer_idx}.mlp.up_proj.bias": state_dict.pop(
+                            f"{prefix}layers.{outer_layer_idx}.mlp.up_proj.bias",
+                            torch.zeros(
+                                self.config.intermediate_size, dtype=self.dtype
+                            ),
+                        ),
+                    },
+                }
+
+                if self.config.norm == "LayerNorm":
+                    temp_state_dict = {
+                        **temp_state_dict,
+                        **{
+                            f"layers.{inner_layer_idx}.input_norm.bias": state_dict.pop(
+                                f"{prefix}layers.{outer_layer_idx}.{input_norm_subkey}.bias",
+                                torch.zeros(self.config.hidden_size, dtype=self.dtype),
+                            ).to(torch.float32),
+                            f"layers.{inner_layer_idx}.post_attention_norm.bias": state_dict.pop(
+                                f"{prefix}layers.{outer_layer_idx}.{post_attention_norm_subkey}.bias",
+                                torch.zeros(self.config.hidden_size, dtype=self.dtype),
+                            ).to(
+                                torch.float32
+                            ),
+                        },
+                    }
+
+            if torch.cuda.device_count() == 0 or self.jit_trace:
+                self.device_list.append("cpu")
+            else:
+                device_id = outer_layer_idx // (
+                    self.config.num_hidden_layers // torch.cuda.device_count()
+                    + (self.config.num_hidden_layers % torch.cuda.device_count() != 0)
+                )
+                self.device_list.append(f"cuda:{device_id}")
+            outer_layer_idx += 1
+        if self.include_tail:
+            if fake_weights:
+                temp_state_dict = {
+                    **temp_state_dict,
+                    "norm.weight": torch.rand(
+                        self.config.hidden_size, dtype=torch.float32
+                    ),
+                    "lm_head.weight": torch.rand(
+                        self.config.vocab_size,
+                        self.config.hidden_size,
+                        dtype=self.dtype,
+                    ),
+                    "lm_head.bias": torch.zeros(
+                        self.config.vocab_size, dtype=self.dtype
+                    ),
+                }
+                if self.config.norm == "LayerNorm":
+                    temp_state_dict["norm.bias"] = torch.zeros(
+                        self.config.hidden_size, dtype=torch.float32
+                    )
+            else:
+                if self.config.tie_word_embeddings:
+                    lm_head_weight_key = "embed_tokens.weight"
+                    lm_head_bias_key = "embed_tokens.bias"
+                else:
+                    lm_head_weight_key = "lm_head.weight"
+                    lm_head_bias_key = "lm_head.bias"
+                temp_state_dict = {
+                    **temp_state_dict,
+                    **{
+                        "lm_head.weight": state_dict.pop(lm_head_weight_key),
+                        "norm.weight": state_dict.pop(f"{prefix}norm.weight").to(
+                            torch.float32
+                        ),
+                        "lm_head.bias": state_dict.pop(
+                            lm_head_bias_key,
+                            torch.zeros(self.config.vocab_size, dtype=self.dtype),
+                        ),
+                    },
+                }
+                if self.config.norm == "LayerNorm":
+                    temp_state_dict["norm.bias"] = state_dict.pop(
+                        f"{prefix}norm.bias",
+                        torch.zeros(self.config.hidden_size, dtype=self.dtype),
+                    ).to(torch.float32)
+
+        print(f"Loading weights for chunk {self.chunk_idx}")
+        if temp_state_dict.keys() != self.state_dict().keys():
+            temp_state_dict_only_keys = [
+                x for x in temp_state_dict.keys() if x not in self.state_dict().keys()
+            ]
+            model_only_keys = [
+                x for x in self.state_dict().keys() if x not in temp_state_dict.keys()
+            ]
+            raise RuntimeError(
+                f"model state dict keys don't match with state_dict to load into model.\nModel only keys:{model_only_keys}\nstate_dict only keys:{temp_state_dict_only_keys}"
+            )
+        self.load_state_dict(temp_state_dict)
+        for i in range(self.num_blocks):
+            self.layers[i].to(self.device_list[i])
+        if self.config.use_stable_embedding and self.chunk_idx == 0:
+            self.embed_layer_norm.to(self.device_list[0])
+        if self.include_tail:
+            self.norm.to(self.device_list[-1])
+            self.lm_head.to(self.device_list[-1])
+        self.eval()
+
+        return self
+
+    def get_example_inputs(
+        self, num_token: int = 128, cache_size: int = 512, get_dym_shape=False
+    ):
+        head_dim = int(self.config.hidden_size / self.config.num_attention_heads)
+        example_inputs = (
+            torch.randn(
+                1, num_token, self.config.hidden_size, device="cpu", dtype=torch.float32
+            ),
+            torch.randn(
+                1,
+                1,
+                num_token,
+                cache_size + num_token,
+                device="cpu",
+                dtype=torch.float32,
+            ),
+            torch.randn(1, 2, num_token, head_dim, device="cpu", dtype=torch.float32),
+            *[
+                torch.randn(
+                    1,
+                    self.config.num_key_value_heads,
+                    cache_size,
+                    head_dim,
+                    device="cpu",
+                    dtype=torch.float32,
+                )
+                for _ in range(2 * self.num_blocks)
+            ],
+        )
+        # Note: Assume cache size fixed shape as torch dynamic shape cannot handle dim 3 being
+        # combination of 2 dynamic dims
+        if get_dym_shape:
+            nt = Dim("num_token", max=num_token)
+            cache_dims = tuple(({} for _ in range(2 * self.num_blocks)))
+            dynamic_shapes = (
+                {0: None, 1: nt, 2: None},
+                {0: None, 1: None, 2: nt, 3: nt + cache_size},
+                {0: None, 1: None, 2: nt, 3: None},
+                cache_dims,
+            )
+            return example_inputs, dynamic_shapes
+
+        return example_inputs
diff --git a/examples/mediatek/models/llm_models/modeling_llama.py b/examples/mediatek/models/llm_models/modeling_llama.py
new file mode 100644
index 0000000000..ac4f4f4e74
--- /dev/null
+++ b/examples/mediatek/models/llm_models/modeling_llama.py
@@ -0,0 +1,77 @@
+# coding=utf-8
+# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
+#
+# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
+# and OPT implementations in this library. It has been modified from its
+# original forms to accommodate minor architectural differences compared
+# to GPT-NeoX and OPT used by the Meta AI team that trained the model.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+""" PyTorch LLaMA model."""
+
+import numpy as np
+import torch
+from models.llm_models.configuration_llama import LlamaConfig
+
+from models.llm_models.modeling_common import Attention, DecoderLayer, MLP, ModelChunk
+
+np.random.seed(42)
+
+
+class LlamaMLP(MLP):
+    def __init__(self, config: LlamaConfig):
+        super().__init__(config)
+
+
+class LlamaAttention(Attention):
+    def __init__(self, config: LlamaConfig):
+        super().__init__(config)
+
+
+class LlamaDecoderLayer(DecoderLayer):
+    def __init__(
+        self,
+        config: LlamaConfig,
+        return_attn=False,
+        jit_trace=False,
+    ):
+        super().__init__(
+            config,
+            return_attn,
+            jit_trace,
+            attn_class=LlamaAttention,
+            mlp_class=LlamaMLP,
+        )
+
+
+class LlamaModelChunk(ModelChunk):
+    def __init__(
+        self,
+        config: LlamaConfig,
+        num_blocks,
+        chunk_idx,
+        dtype=torch.float32,
+        include_tail=False,
+        return_attn=False,
+        jit_trace=False,
+    ):
+        super().__init__(
+            config,
+            num_blocks,
+            chunk_idx,
+            dtype,
+            include_tail,
+            return_attn,
+            jit_trace,
+            decoder_class=LlamaDecoderLayer,
+        )
diff --git a/examples/mediatek/models/llm_models/weights/.gitignore b/examples/mediatek/models/llm_models/weights/.gitignore
new file mode 100644
index 0000000000..36bd05f176
--- /dev/null
+++ b/examples/mediatek/models/llm_models/weights/.gitignore
@@ -0,0 +1,3 @@
+**/*.bin
+**/*.safetensors
+!.gitignore
\ No newline at end of file
diff --git a/examples/mediatek/models/llm_models/weights/llama3-8B-instruct/config.json b/examples/mediatek/models/llm_models/weights/llama3-8B-instruct/config.json
new file mode 100644
index 0000000000..522d3b2e40
--- /dev/null
+++ b/examples/mediatek/models/llm_models/weights/llama3-8B-instruct/config.json
@@ -0,0 +1,16 @@
+{
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "hidden_size": 4096,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "vocab_size": 128256,
+  "tokenizer": "pretrained_fast"
+}
diff --git a/examples/mediatek/models/llm_models/weights/llama3-8B-instruct/special_tokens_map.json b/examples/mediatek/models/llm_models/weights/llama3-8B-instruct/special_tokens_map.json
new file mode 100644
index 0000000000..d8cd507649
--- /dev/null
+++ b/examples/mediatek/models/llm_models/weights/llama3-8B-instruct/special_tokens_map.json
@@ -0,0 +1,4 @@
+{
+  "bos_token": "<|begin_of_text|>",
+  "eos_token": "<|end_of_text|>"
+}
diff --git a/examples/mediatek/models/llm_models/weights/llama3-8B-instruct/tokenizer.json b/examples/mediatek/models/llm_models/weights/llama3-8B-instruct/tokenizer.json
new file mode 100644
index 0000000000..94eacd0897
--- /dev/null
+++ b/examples/mediatek/models/llm_models/weights/llama3-8B-instruct/tokenizer.json
@@ -0,0 +1,410504 @@
+{
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+      "oin t",
+      "oi nt",
+      "o us",
+      "ou s",
+      "e ld",
+      "el d",
+      "S T",
+      "T he",
+      "Th e",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "R E",
+      "\" :",
+      "o lor",
+      "ol or",
+      "olo r",
+      "t p",
+      "e g",
+      "k ey",
+      "ke y",
+      "u de",
+      "ud e",
+      "Ġ St",
+      "ĠS t",
+      "o und",
+      "ou nd",
+      "oun d",
+      "Ġ ar",
+      "Ġa r",
+      "\" );Ċ",
+      "\") ;Ċ",
+      "\"); Ċ",
+      "e ner",
+      "en er",
+      "ene r",
+      "s er",
+      "se r",
+      "1 1",
+      "b ject",
+      "bj ect",
+      "es sage",
+      "ess age",
+      "essa ge",
+      "f er",
+      "fe r",
+      "Ġ more",
+      "Ġm ore",
+      "Ġmor e",
+      "Ġmo re",
+      "at ions",
+      "ation s",
+      "atio ns",
+      "ati ons",
+      "e nts",
+      "en ts",
+      "ent s",
+      "Ġ his",
+      "Ġh is",
+      "Ġhi s",
+      "Ġ they",
+      "Ġt hey",
+      "Ġth ey",
+      "Ġthe y",
+      ". S",
+      "Ġ Y",
+      "u se",
+      "us e",
+      "n e",
+      "i sh",
+      "is h",
+      "o ld",
+      "ol d",
+      "_ d",
+      "i o",
+      "i eld",
+      "ie ld",
+      "iel d",
+      "Ġ per",
+      "Ġp er",
+      "Ġpe r",
+      "C ont",
+      "Con t",
+      "Co nt",
+      "in gs",
+      "ing s",
+      "# ###",
+      "## ##",
+      "### #",
+      "Ġ data",
+      "Ġd ata",
+      "Ġda ta",
+      "Ġdat a",
+      "Ġ sa",
+      "Ġs a",
+      "e f",
+      "f o",
+      "Ġ one",
+      "Ġo ne",
+      "Ġon e",
+      "e ng",
+      "en g",
+      "Ġ dis",
+      "Ġd is",
+      "Ġdi s",
+      "A T",
+      "Ġ name",
+      "Ġn ame",
+      "Ġna me",
+      "Ġnam e",
+      "Ġ true",
+      "Ġtr ue",
+      "v al",
+      "va l",
+      "l ed",
+      "le d",
+      ". f",
+      "Ġ ne",
+      "Ġn e",
+      "Ġ end",
+      "Ġe nd",
+      "Ġen d",
+      "3 2",
+      ". T",
+      "1 6",
+      "c re",
+      "cr e",
+      "a rk",
+      "ar k",
+      "l og",
+      "lo g",
+      "E x",
+      "e rror",
+      "er ror",
+      "err or",
+      "erro r",
+      "_ id",
+      "_i d",
+      "ur re",
+      "urr e",
+      "a nge",
+      "an ge",
+      "ang e",
+      "Ġ null",
+      "Ġn ull",
+      "Ġnu ll",
+      "r ray",
+      "rr ay",
+      "Ġ my",
+      "Ġm y",
+      "p an",
+      "pa n",
+      "i ct",
+      "ic t",
+      "a tor",
+      "at or",
+      "ato r",
+      "V iew",
+      "Vi ew",
+      "L ist",
+      "Li st",
+      "ĉ return",
+      "ĉr eturn",
+      "ĉret urn",
+      "ĉre turn",
+      "âĢ Ŀ",
+      "Ġ pre",
+      "Ġp re",
+      "Ġpr e",
+      "Ġ x",
+      "c lude",
+      "cl ude",
+      "clud e",
+      "a rg",
+      "ar g",
+      "1 5",
+      "o v",
+      ". h",
+      "Ġ >",
+      "Ġ their",
+      "Ġthe ir",
+      "' )",
+      "i rst",
+      "ir st",
+      "irs t",
+      "i ck",
+      "ic k",
+      "g h",
+      "L E",
+      "O R",
+      "Ġ private",
+      "Ġpr ivate",
+      "Ġpriv ate",
+      "Ġprivat e",
+      "t em",
+      "te m",
+      "čĊ čĊ",
+      "u ser",
+      "us er",
+      "use r",
+      "Ġ )",
+      "c om",
+      "co m",
+      ". A",
+      "\" ;Ċ",
+      "\"; Ċ",
+      "Ġ id",
+      "Ġi d",
+      "r ead",
+      "re ad",
+      "rea d",
+      "Ġ who",
+      "Ġw ho",
+      "Ġwh o",
+      "_ b",
+      "\" >Ċ",
+      "\"> Ċ",
+      "Ġ time",
+      "Ġt ime",
+      "Ġtim e",
+      "Ġti me",
+      "Ġ man",
+      "Ġm an",
+      "Ġma n",
+      "r y",
+      "= =======",
+      "== ======",
+      "==== ====",
+      "=== =====",
+      "====== ==",
+      "===== ===",
+      "======= =",
+      "r oup",
+      "ro up",
+      "rou p",
+      "r op",
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+      "p ublic",
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+      "v el",
+      "ve l",
+      "um ber",
+      "umb er",
+      "b le",
+      "bl e",
+      "Ġ which",
+      "Ġwh ich",
+      "** **************",
+      "**** ************",
+      "******** ********",
+      "************ ****",
+      "************** **",
+      "Ġ any",
+      "Ġa ny",
+      "Ġan y",
+      "Ġ false",
+      "Ġf alse",
+      "Ġfa lse",
+      "Ġfal se",
+      "Ġfals e",
+      "w e",
+      "Ġ value",
+      "Ġv alue",
+      "Ġval ue",
+      "Ġva lue",
+      "Ġvalu e",
+      "Ġ li",
+      "Ġl i",
+      "\" )",
+      "n der",
+      "nd er",
+      "nde r",
+      "g r",
+      "Ġ no",
+      "Ġn o",
+      "p aram",
+      "par am",
+      "pa ram",
+      "para m",
+      "2 5",
+      "f ig",
+      "fi g",
+      ". com",
+      ".c om",
+      ".co m",
+      "Ġ app",
+      "Ġa pp",
+      "Ġap p",
+      "_ l",
+      "i ons",
+      "ion s",
+      "io ns",
+      ". D",
+      "Ġ Ch",
+      "ĠC h",
+      "Ġ about",
+      "Ġa bout",
+      "Ġab out",
+      "Ġ add",
+      "Ġa dd",
+      "Ġad d",
+      "Ġ su",
+      "Ġs u",
+      "Ġ string",
+      "Ġs tring",
+      "Ġst ring",
+      "Ġstr ing",
+      "Ġstri ng",
+      "I D",
+      "Ġ over",
+      "Ġo ver",
+      "Ġov er",
+      "s tring",
+      "st ring",
+      "str ing",
+      "stri ng",
+      ". l",
+      "our ce",
+      "0 00",
+      "00 0",
+      "_ C",
+      "] Ċ",
+      "Ġ qu",
+      "Ġq u",
+      "Ġ String",
+      "ĠS tring",
+      "ĠSt ring",
+      "ĠStr ing",
+      "c a",
+      "S E",
+      "Ġ ro",
+      "Ġr o",
+      "s h",
+      "u al",
+      "ua l",
+      "T ype",
+      "Typ e",
+      "Ty pe",
+      "s on",
+      "so n",
+      "n ew",
+      "ne w",
+      "e rn",
+      "er n",
+      "Ġ ag",
+      "Ġa g",
+      "A R",
+      "] ;Ċ",
+      "]; Ċ",
+      "] .",
+      "Ġ ?",
+      "i cal",
+      "ic al",
+      "ica l",
+      "Ġ des",
+      "Ġd es",
+      "Ġde s",
+      "u th",
+      "ut h",
+      "i x",
+      "a ys",
+      "ay s",
+      "Ġ type",
+      "Ġt ype",
+      "Ġtyp e",
+      "Ġty pe",
+      "' t",
+      "a ult",
+      "au lt",
+      "aul t",
+      "Ġ inter",
+      "Ġin ter",
+      "Ġint er",
+      "Ġinte r",
+      "v ar",
+      "va r",
+      ". b",
+      "Ġ part",
+      "Ġp art",
+      "Ġpar t",
+      "Ġpa rt",
+      ". d",
+      "ur rent",
+      "urre nt",
+      "urr ent",
+      "I T",
+      "E N",
+      "3 0",
+      "e nc",
+      "en c",
+      "( f",
+      "r a",
+      "v alue",
+      "val ue",
+      "va lue",
+      "valu e",
+      "c ho",
+      "ch o",
+      "1 8",
+      "ut ton",
+      "utt on",
+      "utto n",
+      "o se",
+      "os e",
+      "1 4",
+      "Ġ !=",
+      "Ġ! =",
+      "a ter",
+      "at er",
+      "ate r",
+      "Ã ©",
+      "re ate",
+      "reat e",
+      "rea te",
+      "o ll",
+      "ol l",
+      "p os",
+      "po s",
+      "y le",
+      "yl e",
+      "n g",
+      "A L",
+      "u sing",
+      "us ing",
+      "usi ng",
+      "a mes",
+      "am es",
+      "ame s",
+      "Ġ {čĊ",
+      "Ġ{ čĊ",
+      "a tes",
+      "at es",
+      "ate s",
+      "e ly",
+      "el y",
+      "Ġ work",
+      "Ġw ork",
+      "Ġwor k",
+      "Ġwo rk",
+      "Ġ em",
+      "Ġe m",
+      "i nal",
+      "in al",
+      "ina l",
+      "Ġ sp",
+      "Ġs p",
+      "Ġ when",
+      "Ġw hen",
+      "Ġwh en",
+      "Ġwhe n",
+      ". set",
+      ".s et",
+      ".se t",
+      "Ġ ĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠ",
+      "ĠĠĠĠ ĠĠ",
+      "ĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠ Ġ",
+      ") :Ċ",
+      "): Ċ",
+      "t o",
+      "q uire",
+      "qu ire",
+      "quir e",
+      "qui re",
+      "ind ow",
+      "indo w",
+      "l ement",
+      "le ment",
+      "lem ent",
+      "lemen t",
+      "leme nt",
+      "p ect",
+      "pe ct",
+      "pec t",
+      "a sh",
+      "as h",
+      "[ i",
+      "Ġ use",
+      "Ġu se",
+      "Ġus e",
+      ". F",
+      "p ec",
+      "pe c",
+      "Ġ ad",
+      "Ġa d",
+      "o ve",
+      "ov e",
+      "ce ption",
+      "cept ion",
+      "cep tion",
+      "e ngth",
+      "en gth",
+      "eng th",
+      "in clude",
+      "inc lude",
+      "incl ude",
+      "inclu de",
+      "a der",
+      "ad er",
+      "ade r",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "at us",
+      "atu s",
+      "T h",
+      "i tle",
+      "it le",
+      "r it",
+      "ri t",
+      "v oid",
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+      "' ;Ċ",
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+      "Ġf ile",
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+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
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+      "b e",
+      "Ġ number",
+      "Ġn umber",
+      "Ġnum ber",
+      "Ġnumb er",
+      "Ġ require",
+      "Ġre quire",
+      "Ġreq uire",
+      "Ġrequ ire",
+      "Ġ Ex",
+      "ĠE x",
+      "6 0",
+      "Ġ col",
+      "Ġc ol",
+      "Ġco l",
+      "Ġ key",
+      "Ġk ey",
+      "Ġke y",
+      "em ber",
+      "emb er",
+      "Ġ two",
+      "Ġt wo",
+      "Ġtw o",
+      "Ġ size",
+      "Ġs ize",
+      "Ġsi ze",
+      "Ġsiz e",
+      "Ġ where",
+      "Ġw here",
+      "Ġwh ere",
+      "Ġwhe re",
+      "U T",
+      "res ult",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "o ugh",
+      "ou gh",
+      "oug h",
+      "or ld",
+      "o od",
+      "oo d",
+      "u ch",
+      "uc h",
+      "at ive",
+      "ati ve",
+      "ativ e",
+      "g er",
+      "ge r",
+      "a rent",
+      "ar ent",
+      "are nt",
+      "aren t",
+      "Ġ /*",
+      "Ġ/ *",
+      "Ġ arg",
+      "Ġa rg",
+      "Ġar g",
+      "Ġ while",
+      "Ġwh ile",
+      "2 3",
+      "( this",
+      "(t his",
+      "(th is",
+      "Ġ rec",
+      "Ġre c",
+      "Ġr ec",
+      "Ġ dif",
+      "Ġd if",
+      "Ġdi f",
+      "St ate",
+      "Stat e",
+      "Ġ spec",
+      "Ġs pec",
+      "Ġsp ec",
+      "Ġspe c",
+      "r ide",
+      "ri de",
+      "rid e",
+      "_ F",
+      "Ġ look",
+      "Ġl ook",
+      "Ġlo ok",
+      "A M",
+      "il ity",
+      "ilit y",
+      "ili ty",
+      "e ter",
+      "et er",
+      "ete r",
+      "âĢĻ t",
+      "Ċ ĊĊ",
+      "ĊĊ Ċ",
+      "ay out",
+      "ayo ut",
+      "-- ------------------------------",
+      "---- ----------------------------",
+      "---------------- ----------------",
+      "------------ --------------------",
+      "---------------------------- ----",
+      "------------------------------ --",
+      "-------------------- ------------",
+      "a ger",
+      "ag er",
+      "age r",
+      "Ġ could",
+      "Ġc ould",
+      "Ġco uld",
+      "Ġcou ld",
+      "Ġ br",
+      "Ġb r",
+      "e nds",
+      "en ds",
+      "end s",
+      "u res",
+      "ur es",
+      "ure s",
+      "Ġ know",
+      "Ġk now",
+      "Ġkn ow",
+      "e ts",
+      "et s",
+      "Ġ If",
+      "ĠI f",
+      "Ġ Sh",
+      "ĠS h",
+      ". w",
+      "b ack",
+      "ba ck",
+      "bac k",
+      "Ġ ser",
+      "Ġs er",
+      "Ġse r",
+      "Ġ +=",
+      "Ġ+ =",
+      "Ġ fr",
+      "Ġf r",
+      "( ));Ċ",
+      "() );Ċ",
+      "()) ;Ċ",
+      "()); Ċ",
+      "Ġ hand",
+      "Ġh and",
+      "Ġha nd",
+      "Ġhan d",
+      "I nd",
+      "In d",
+      "U LL",
+      "UL L",
+      "I m",
+      "( );ĊĊ",
+      "() ;ĊĊ",
+      "();Ċ Ċ",
+      "(); ĊĊ",
+      "Ġ most",
+      "Ġm ost",
+      "Ġmo st",
+      "Ġmos t",
+      "Ġ try",
+      "Ġt ry",
+      "Ġtr y",
+      "Ġ now",
+      "Ġn ow",
+      "Ġno w",
+      "r ough",
+      "ro ugh",
+      "rou gh",
+      "> čĊ",
+      "ack age",
+      "Ġ him",
+      "Ġh im",
+      "Ġhi m",
+      ". _",
+      "i fy",
+      "if y",
+      "Ġ break",
+      "Ġb reak",
+      "Ġbre ak",
+      "Ġ );Ċ",
+      "Ġ) ;Ċ",
+      "Ġ); Ċ",
+      "r en",
+      "re n",
+      "# define",
+      "i tt",
+      "it t",
+      "Ġ ap",
+      "Ġa p",
+      "ĉ c",
+      "( n",
+      "Ġ You",
+      "ĠY ou",
+      "ĠYo u",
+      ": ĊĊ",
+      ":Ċ Ċ",
+      "- m",
+      "Ġ every",
+      "Ġe very",
+      "Ġever y",
+      "Ġev ery",
+      "Ġeve ry",
+      "us tom",
+      "ust om",
+      "usto m",
+      "l ient",
+      "li ent",
+      "lie nt",
+      "lien t",
+      "oc ument",
+      "ocu ment",
+      "cri ption",
+      "cript ion",
+      "E rror",
+      "Err or",
+      "Er ror",
+      "Erro r",
+      "- b",
+      "Ð ¾",
+      "] [",
+      "9 9",
+      "t rans",
+      "tr ans",
+      "tra ns",
+      "tran s",
+      "Ġ point",
+      "Ġp oint",
+      "Ġpo int",
+      "Ġpoi nt",
+      "Ġ std",
+      "Ġs td",
+      "Ġst d",
+      "Ġ fil",
+      "Ġf il",
+      "Ġfi l",
+      "T ime",
+      "Tim e",
+      "Ti me",
+      "8 0",
+      "Ġ mod",
+      "Ġm od",
+      "Ġmo d",
+      "Ġ ->",
+      "Ġ- >",
+      "Ġ error",
+      "Ġe rror",
+      "Ġerr or",
+      "Ġer ror",
+      "Ġerro r",
+      "a h",
+      "Ġ text",
+      "Ġt ext",
+      "Ġte xt",
+      "Ġtex t",
+      "r oller",
+      "ro ller",
+      "rol ler",
+      "roll er",
+      "l ose",
+      "lo se",
+      "los e",
+      "q l",
+      "Ġ pol",
+      "Ġp ol",
+      "Ġpo l",
+      "> </",
+      ">< /",
+      "Ġ show",
+      "Ġs how",
+      "Ġsh ow",
+      "Ġsho w",
+      "U ser",
+      "Us er",
+      "Use r",
+      "a sed",
+      "as ed",
+      "ase d",
+      "Ġ {ĊĊ",
+      "Ġ{ ĊĊ",
+      "Ġ{Ċ Ċ",
+      "Ġ find",
+      "Ġf ind",
+      "Ġfin d",
+      "Ġfi nd",
+      "Ð °",
+      "E D",
+      "s pan",
+      "sp an",
+      "spa n",
+      "e nu",
+      "en u",
+      "Ġ current",
+      "Ġc urrent",
+      "Ġcur rent",
+      "Ġcurr ent",
+      "Ġ used",
+      "Ġu sed",
+      "Ġus ed",
+      "Ġuse d",
+      "c ept",
+      "ce pt",
+      "cep t",
+      "cl ud",
+      "Ġ play",
+      "Ġp lay",
+      "Ġpl ay",
+      "Ġpla y",
+      "Ġ log",
+      "Ġl og",
+      "Ġlo g",
+      "u tion",
+      "ut ion",
+      "uti on",
+      "f l",
+      "Ġ see",
+      "Ġs ee",
+      "Ġse e",
+      "ind ows",
+      "indow s",
+      "indo ws",
+      "Ġ help",
+      "Ġh elp",
+      "Ġhe lp",
+      "Ġhel p",
+      "Ġ these",
+      "Ġth ese",
+      "Ġthe se",
+      "Ġ pass",
+      "Ġp ass",
+      "Ġpas s",
+      "Ġpa ss",
+      "Ġ down",
+      "Ġd own",
+      "Ġdo wn",
+      "Ġdow n",
+      "Ġ even",
+      "Ġe ven",
+      "Ġev en",
+      "Ġeve n",
+      "a son",
+      "as on",
+      "aso n",
+      "u ild",
+      "ui ld",
+      "uil d",
+      "f rom",
+      "fr om",
+      "( d",
+      "Ġ bl",
+      "Ġb l",
+      "l abel",
+      "la bel",
+      "lab el",
+      "e lse",
+      "el se",
+      "els e",
+      "Ð µ",
+      "Ġ (!",
+      "Ġ( !",
+      "i zed",
+      "iz ed",
+      "ize d",
+      "( ),",
+      "() ,",
+      "Ġ ob",
+      "Ġo b",
+      "Ġ item",
+      "Ġit em",
+      "Ġi tem",
+      "u mp",
+      "um p",
+      "U R",
+      "o rn",
+      "or n",
+      "Ġ don",
+      "Ġd on",
+      "Ġdo n",
+      "S e",
+      "m an",
+      "ma n",
+      "2 7",
+      "am ple",
+      "amp le",
+      "t n",
+      "= ===============",
+      "== ==============",
+      "==== ============",
+      "======== ========",
+      "=== =============",
+      "============ ====",
+      "============= ===",
+      "=========== =====",
+      "============== ==",
+      "========= =======",
+      "========== ======",
+      "=============== =",
+      "====== ==========",
+      "===== ===========",
+      "======= =========",
+      "H e",
+      "g ram",
+      "gr am",
+      "gra m",
+      "Ġ did",
+      "Ġd id",
+      "Ġdi d",
+      "w n",
+      "_ h",
+      "i ver",
+      "iv er",
+      "ive r",
+      "Ġ sm",
+      "Ġs m",
+      "Ġ through",
+      "Ġth rough",
+      "Ġthr ough",
+      "Ġthro ugh",
+      "Ġ An",
+      "ĠA n",
+      "c he",
+      "ch e",
+      "Ġ inv",
+      "Ġin v",
+      "Ġi nv",
+      "o use",
+      "ou se",
+      "ous e",
+      "Ġ es",
+      "Ġe s",
+      "Ġ New",
+      "ĠN ew",
+      "ĠNe w",
+      "ex port",
+      "exp ort",
+      "expo rt",
+      "m ary",
+      "ma ry",
+      "mar y",
+      "u to",
+      "ut o",
+      "l er",
+      "le r",
+      "Ġ last",
+      "Ġl ast",
+      "Ġla st",
+      "Ġlas t",
+      "Ġ event",
+      "Ġe vent",
+      "Ġeven t",
+      "Ġev ent",
+      "Ġeve nt",
+      "t ry",
+      "tr y",
+      "ï ¼",
+      "i ly",
+      "il y",
+      "ig ned",
+      "ign ed",
+      "igne d",
+      "i nes",
+      "in es",
+      "ine s",
+      "ol low",
+      "oll ow",
+      "ollo w",
+      "ic ense",
+      "icens e",
+      "s ole",
+      "so le",
+      "sol e",
+      "l ear",
+      "le ar",
+      "lea r",
+      "( int",
+      "(i nt",
+      "(in t",
+      "Ġ again",
+      "Ġa gain",
+      "Ġag ain",
+      "Ġ high",
+      "Ġh igh",
+      "Ġhi gh",
+      "h tml",
+      "ht ml",
+      "htm l",
+      "In dex",
+      "Ind ex",
+      "ut hor",
+      "uth or",
+      "Ġ /**Ċ",
+      "Ġ/ **Ċ",
+      "Ġ/* *Ċ",
+      "Ġ/** Ċ",
+      "Ġ line",
+      "Ġl ine",
+      "Ġli ne",
+      "Ġlin e",
+      "E vent",
+      "Even t",
+      "Ev ent",
+      "_ D",
+      "Ġ does",
+      "Ġd oes",
+      "Ġdo es",
+      "Ġdoe s",
+      "it ial",
+      "iti al",
+      "itia l",
+      "Ġ cr",
+      "Ġc r",
+      "a rs",
+      "ar s",
+      "2 8",
+      "Ġ tem",
+      "Ġt em",
+      "Ġte m",
+      "c ause",
+      "ca use",
+      "f ace",
+      "fa ce",
+      "fac e",
+      "Ġ `",
+      "_ A",
+      "B utton",
+      "But ton",
+      "a ture",
+      "at ure",
+      "atur e",
+      "atu re",
+      "ect ed",
+      "ec ted",
+      "E S",
+      "i ster",
+      "is ter",
+      "ist er",
+      "iste r",
+      "ĉ Ċ",
+      "Ġ before",
+      "Ġb efore",
+      "Ġbe fore",
+      "Ġbef ore",
+      "a le",
+      "al e",
+      "o ther",
+      "ot her",
+      "oth er",
+      "Ġ because",
+      "Ġb ecause",
+      "Ġbe cause",
+      "Ġbec ause",
+      "r oid",
+      "ro id",
+      "roi d",
+      "Ġ ed",
+      "Ġe d",
+      "i k",
+      "r eg",
+      "re g",
+      "Ġ De",
+      "ĠD e",
+      "Ġ dist",
+      "Ġd ist",
+      "Ġdis t",
+      "Ġdi st",
+      "} ,Ċ",
+      "}, Ċ",
+      "Ġ state",
+      "Ġst ate",
+      "Ġstat e",
+      "Ġsta te",
+      "Ġ cons",
+      "Ġc ons",
+      "Ġcon s",
+      "Ġco ns",
+      "r int",
+      "ri nt",
+      "rin t",
+      "a tt",
+      "at t",
+      "Ġ here",
+      "Ġh ere",
+      "Ġhe re",
+      "Ġher e",
+      "i ned",
+      "in ed",
+      "ine d",
+      "Ġ final",
+      "Ġf inal",
+      "Ġfin al",
+      "Ġfi nal",
+      "Ġ \"\"",
+      "Ġ\" \"",
+      "K ey",
+      "Ke y",
+      "L O",
+      "Ġ del",
+      "Ġd el",
+      "Ġde l",
+      "p ty",
+      "pt y",
+      "th ing",
+      "thin g",
+      "2 6",
+      "Ġ And",
+      "ĠA nd",
+      "ĠAn d",
+      "Ġ run",
+      "Ġr un",
+      "Ġru n",
+      "Ġ X",
+      "y m",
+      ". app",
+      ".ap p",
+      ".a pp",
+      "Ġ very",
+      "Ġv ery",
+      "Ġver y",
+      "Ġve ry",
+      "c es",
+      "ce s",
+      "_ N",
+      "a red",
+      "ar ed",
+      "are d",
+      "w ard",
+      "wa rd",
+      "war d",
+      "l ist",
+      "li st",
+      "lis t",
+      "i ted",
+      "it ed",
+      "ite d",
+      "o log",
+      "ol og",
+      "olo g",
+      "it ch",
+      "B ox",
+      "Bo x",
+      "i fe",
+      "if e",
+      "3 3",
+      "Ġ ac",
+      "Ġa c",
+      "Ġ model",
+      "Ġm odel",
+      "Ġmod el",
+      "Ġmode l",
+      "Ġmo del",
+      "Ġ mon",
+      "Ġm on",
+      "Ġmo n",
+      "Ġ way",
+      "Ġw ay",
+      "Ġwa y",
+      "l ete",
+      "le te",
+      "let e",
+      "Ġ call",
+      "Ġc all",
+      "Ġcal l",
+      "Ġca ll",
+      "Ġ att",
+      "Ġa tt",
+      "Ġat t",
+      "Ġ cal",
+      "Ġc al",
+      "Ġca l",
+      "v ert",
+      "ver t",
+      "ve rt",
+      "Ġ dec",
+      "Ġd ec",
+      "Ġde c",
+      "l ease",
+      "le ase",
+      "lea se",
+      "o un",
+      "ou n",
+      "Ġ });Ċ",
+      "Ġ} );Ċ",
+      "Ġ}) ;Ċ",
+      "Ġ}); Ċ",
+      "f r",
+      "form ation",
+      "format ion",
+      "forma tion",
+      "e tail",
+      "et ail",
+      "eta il",
+      "Ġ num",
+      "Ġn um",
+      "Ġnu m",
+      "a j",
+      "qu ery",
+      "que ry",
+      "quer y",
+      "Ġ well",
+      "Ġw ell",
+      "Ġwe ll",
+      "Ġwel l",
+      "Ġ object",
+      "Ġo bject",
+      "Ġob ject",
+      "Ġobj ect",
+      "Ġ As",
+      "ĠA s",
+      "Ġ years",
+      "Ġy ears",
+      "Ġyear s",
+      "Ġye ars",
+      "C olor",
+      "Col or",
+      "Co lor",
+      "I S",
+      "Ġ default",
+      "Ġd efault",
+      "Ġde fault",
+      "Ġdef ault",
+      "Ġdefa ult",
+      "W h",
+      "Ġ ins",
+      "Ġin s",
+      "Ġi ns",
+      "a int",
+      "ain t",
+      "ai nt",
+      "Ġ java",
+      "Ġj ava",
+      "Ġjav a",
+      "Ġja va",
+      "Ġ sim",
+      "Ġs im",
+      "Ġsi m",
+      "Ġ Ar",
+      "ĠA r",
+      "m on",
+      "mo n",
+      "t il",
+      "ti l",
+      "( );čĊ",
+      "() ;čĊ",
+      "(); čĊ",
+      ") :",
+      "S et",
+      "Se t",
+      "2 9",
+      "at ter",
+      "att er",
+      "atte r",
+      "Ġ view",
+      "Ġv iew",
+      "Ġvi ew",
+      "Ġvie w",
+      "Ġ pres",
+      "Ġp res",
+      "Ġpr es",
+      "Ġpre s",
+      "a rray",
+      "ar ray",
+      "arr ay",
+      "arra y",
+      "W e",
+      "A t",
+      "Ġ bel",
+      "Ġb el",
+      "Ġbe l",
+      "Ġ many",
+      "Ġm any",
+      "Ġman y",
+      "Ġma ny",
+      "2 1",
+      "M an",
+      "Ma n",
+      "e nder",
+      "en der",
+      "end er",
+      "ende r",
+      "Ġ being",
+      "Ġb eing",
+      "Ġbe ing",
+      "Ġbei ng",
+      "Ġ good",
+      "Ġg ood",
+      "Ġgo od",
+      "Ġgoo d",
+      "ĉ ĉĉĉĉĉ",
+      "ĉĉ ĉĉĉĉ",
+      "ĉĉĉĉ ĉĉ",
+      "ĉĉĉ ĉĉĉ",
+      "ĉĉĉĉĉ ĉ",
+      "at ional",
+      "ation al",
+      "atio nal",
+      "ati onal",
+      "w are",
+      "wa re",
+      "war e",
+      ". log",
+      ".l og",
+      ".lo g",
+      "{ čĊ",
+      "Ġ using",
+      "Ġu sing",
+      "Ġus ing",
+      "_ B",
+      "Ġ :=",
+      "Ġ: =",
+      "_ w",
+      "i sts",
+      "is ts",
+      "ist s",
+      "l ish",
+      "li sh",
+      "lis h",
+      "Ġ stud",
+      "Ġst ud",
+      "Ġstu d",
+      "Ġ Al",
+      "ĠA l",
+      "Ġ gu",
+      "Ġg u",
+      "con fig",
+      "conf ig",
+      "u ring",
+      "ur ing",
+      "uri ng",
+      "t ime",
+      "ti me",
+      "tim e",
+      "o ken",
+      "ok en",
+      "oke n",
+      "ame space",
+      "ames pace",
+      "Ġ request",
+      "Ġre quest",
+      "Ġreq uest",
+      "Ġrequ est",
+      "Ġ child",
+      "Ġch ild",
+      "Ġchi ld",
+      "Ġ Ã",
+      "l ob",
+      "lo b",
+      "Ġ param",
+      "Ġp aram",
+      "Ġpar am",
+      "Ġpara m",
+      "Ġpa ram",
+      "Ġ }čĊ",
+      "Ġ} čĊ",
+      "0 1",
+      "Ġ echo",
+      "Ġe cho",
+      "Ġec ho",
+      "Ġech o",
+      "f unction",
+      "func tion",
+      "fun ction",
+      "**** ****************************",
+      "******** ************************",
+      "**************** ****************",
+      "************************ ********",
+      "******************** ************",
+      "**************************** ****",
+      "************ ********************",
+      "p s",
+      "E lement",
+      "El ement",
+      "Elem ent",
+      "Ele ment",
+      "a lk",
+      "al k",
+      "l ication",
+      "lic ation",
+      "li cation",
+      "lica tion",
+      "b y",
+      "S ize",
+      "Si ze",
+      "ra wing",
+      "raw ing",
+      "Ġ person",
+      "Ġp erson",
+      "Ġper son",
+      "Ġpers on",
+      "Ġperso n",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "\\ n",
+      "o bject",
+      "ob ject",
+      "obj ect",
+      "i nce",
+      "in ce",
+      "inc e",
+      "E n",
+      "F ile",
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+      "u f",
+      "f fect",
+      "ff ect",
+      "ffe ct",
+      "A C",
+      "Ġ style",
+      "Ġst yle",
+      "Ġsty le",
+      "Ġstyl e",
+      "sum mary",
+      "summ ary",
+      "Ġ que",
+      "Ġqu e",
+      "Ġq ue",
+      "_ r",
+      "Ġ ($",
+      "Ġ( $",
+      "M odel",
+      "Mode l",
+      "Mod el",
+      "Mo del",
+      "i dent",
+      "id ent",
+      "ide nt",
+      "iden t",
+      "Ġ method",
+      "Ġm ethod",
+      "Ġmet hod",
+      "Ġmeth od",
+      "I L",
+      "o tt",
+      "ot t",
+      "l ess",
+      "le ss",
+      "les s",
+      "I NG",
+      "IN G",
+      "Ġ ()",
+      "Ġ( )",
+      "Ġ expect",
+      "Ġex pect",
+      "Ġexp ect",
+      "y nc",
+      "yn c",
+      "p ackage",
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+      "3 5",
+      "u rs",
+      "ur s",
+      "Ġ prot",
+      "Ġp rot",
+      "Ġpro t",
+      "Ġpr ot",
+      ". /",
+      "p re",
+      "pr e",
+      "Ġ )Ċ",
+      "Ġ) Ċ",
+      "m a",
+      "Ġ sur",
+      "Ġs ur",
+      "Ġsu r",
+      "Ġ found",
+      "Ġf ound",
+      "Ġfo und",
+      "Ġfou nd",
+      "In fo",
+      "Inf o",
+      "p ar",
+      "pa r",
+      "i mes",
+      "im es",
+      "ime s",
+      ". e",
+      "a ins",
+      "ain s",
+      "ai ns",
+      "Ġ post",
+      "Ġp ost",
+      "Ġpos t",
+      "Ġpo st",
+      "- d",
+      "4 5",
+      "o lean",
+      "ol ean",
+      "ole an",
+      "Ġ sl",
+      "Ġs l",
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+      "Ġs uch",
+      "Ġsu ch",
+      "Ġsuc h",
+      "s elect",
+      "se lect",
+      "sel ect",
+      "a iner",
+      "ain er",
+      "ai ner",
+      "aine r",
+      "Ġ think",
+      "Ġth ink",
+      "Ġthin k",
+      "Ġthi nk",
+      "Ġd iffer",
+      "Ġdif fer",
+      "Ġdi ffer",
+      "Ġdiff er",
+      ". r",
+      "/ **Ċ",
+      "/* *Ċ",
+      "/** Ċ",
+      "F F",
+      "o ol",
+      "oo l",
+      "p late",
+      "pl ate",
+      "plat e",
+      "pla te",
+      "q ual",
+      "qu al",
+      "qua l",
+      "Ġ For",
+      "ĠF or",
+      "ĠFo r",
+      "Ġ much",
+      "Ġm uch",
+      "Ġmu ch",
+      "Ġmuc h",
+      "u c",
+      "( new",
+      "(n ew",
+      "(ne w",
+      "od ule",
+      "odu le",
+      "Ġ som",
+      "Ġs om",
+      "Ġso m",
+      "Ġ http",
+      "Ġh ttp",
+      "Ġht tp",
+      "Ġhtt p",
+      "Ġ List",
+      "ĠL ist",
+      "ĠLi st",
+      "ĠLis t",
+      "Ġ count",
+      "Ġc ount",
+      "Ġco unt",
+      "Ġcoun t",
+      "Ġcou nt",
+      "Ġ inst",
+      "Ġin st",
+      "Ġi nst",
+      "Ġins t",
+      "c har",
+      "ch ar",
+      "cha r",
+      "m it",
+      "mi t",
+      ". id",
+      ".i d",
+      "a king",
+      "ak ing",
+      "aki ng",
+      "akin g",
+      "Ġ gener",
+      "Ġg ener",
+      "Ġge ner",
+      "Ġgen er",
+      "Ġgene r",
+      "p x",
+      "v ice",
+      "vi ce",
+      "vic e",
+      "3 7",
+      "_ data",
+      "_d ata",
+      "_dat a",
+      "_da ta",
+      "Ġ NULL",
+      "ĠN ULL",
+      "ĠNU LL",
+      "} čĊ",
+      "i dd",
+      "id d",
+      "ãĢ Ĥ",
+      "Ġ med",
+      "Ġm ed",
+      "Ġme d",
+      "o rg",
+      "or g",
+      "i der",
+      "id er",
+      "ide r",
+      "a che",
+      "ac he",
+      "ach e",
+      "w ork",
+      "wo rk",
+      "wor k",
+      "Ġ check",
+      "Ġc heck",
+      "Ġch eck",
+      "Ġche ck",
+      "w een",
+      "we en",
+      "Ġ ((",
+      "Ġ( (",
+      "t he",
+      "th e",
+      "a nts",
+      "an ts",
+      "ant s",
+      "> <",
+      ". B",
+      "- c",
+      "Ġ open",
+      "Ġo pen",
+      "Ġop en",
+      "Ġ est",
+      "Ġe st",
+      "Ġes t",
+      "Ġ ĠĠĠĠĠĠĠĊ",
+      "ĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ Ċ",
+      "ĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĊ",
+      "ĠĠĠĠĠĠ ĠĠĊ",
+      "Ġ next",
+      "Ġn ext",
+      "Ġne xt",
+      "Ġnex t",
+      "I M",
+      "Ñ Ĥ",
+      "O T",
+      "Ã ³",
+      "Ġ follow",
+      "Ġf ollow",
+      "Ġfol low",
+      "Ġfoll ow",
+      "c ontent",
+      "con tent",
+      "cont ent",
+      "conte nt",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "Ġin clud",
+      "Ġincl ud",
+      "Ġinclu d",
+      "H E",
+      "Ġ Res",
+      "ĠR es",
+      "ĠRe s",
+      "Ġ href",
+      "Ġh ref",
+      "Ġhr ef",
+      "Ð ¸",
+      "Ġ car",
+      "Ġc ar",
+      "Ġca r",
+      "y pes",
+      "ype s",
+      "yp es",
+      "i mage",
+      "im age",
+      "ima ge",
+      "imag e",
+      "U n",
+      "Ġ bool",
+      "Ġb ool",
+      "Ġbo ol",
+      "Ġboo l",
+      "A D",
+      "Ġ game",
+      "Ġg ame",
+      "Ġgam e",
+      "Ġga me",
+      ". Form",
+      ".F orm",
+      ".For m",
+      "r ows",
+      "ro ws",
+      "row s",
+      "* /",
+      "v elop",
+      "ve lop",
+      "vel op",
+      ". Drawing",
+      ".D rawing",
+      ".Draw ing",
+      "Ġ path",
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+      "Ġpat h",
+      "Ġpa th",
+      "is ion",
+      "isi on",
+      "Ġ each",
+      "Ġe ach",
+      "Ġea ch",
+      "Ġ Pl",
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+      "_ type",
+      "_t ype",
+      "_typ e",
+      "_ty pe",
+      "P ath",
+      "Pa th",
+      "Pat h",
+      "n ection",
+      "ne ction",
+      "nect ion",
+      "Ġ av",
+      "Ġa v",
+      "' ).",
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+      "Ġ support",
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+      "Ġsup port",
+      "Ġsupp ort",
+      "E NT",
+      "EN T",
+      "r em",
+      "re m",
+      "\" ).",
+      "\") .",
+      "Ġ own",
+      "Ġo wn",
+      "Ġow n",
+      "Ġ cor",
+      "Ġc or",
+      "Ġco r",
+      "c ount",
+      "co unt",
+      "cou nt",
+      "m iss",
+      "mi ss",
+      "mis s",
+      "u ally",
+      "ual ly",
+      "Ġ mem",
+      "Ġm em",
+      "Ġme m",
+      "s td",
+      "st d",
+      "i ence",
+      "ie nce",
+      "ien ce",
+      "s earch",
+      "se arch",
+      "sea rch",
+      "\" ĊĊ",
+      "\"Ċ Ċ",
+      "F orm",
+      "For m",
+      "Fo rm",
+      "Ġ sex",
+      "Ġs ex",
+      "Ġse x",
+      "e name",
+      "en ame",
+      "ena me",
+      "Ġ sign",
+      "Ġs ign",
+      "Ġsi gn",
+      "Ġsig n",
+      "Ġ et",
+      "Ġe t",
+      "Ġ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠ ĠĠĠĠ",
+      "' ,'",
+      "', '",
+      "Ġ App",
+      "ĠA pp",
+      "ĠAp p",
+      "Ġ those",
+      "Ġth ose",
+      "Ġtho se",
+      "o ff",
+      "of f",
+      "Ġ err",
+      "Ġe rr",
+      "Ġer r",
+      "Ġ system",
+      "Ġs ystem",
+      "Ġsys tem",
+      "Ġsy stem",
+      "Ġsyst em",
+      "Ġ best",
+      "Ġb est",
+      "Ġbe st",
+      "Ġbes t",
+      "c ode",
+      "co de",
+      "cod e",
+      "Ġ same",
+      "Ġs ame",
+      "Ġsa me",
+      "Ġsam e",
+      "Ġ di",
+      "Ġd i",
+      "u ss",
+      "us s",
+      "Ġ create",
+      "Ġc reate",
+      "Ġcre ate",
+      "Ġcreat e",
+      "Ġcrea te",
+      "a ther",
+      "at her",
+      "ath er",
+      "athe r",
+      "A rray",
+      "Ar ray",
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+      "U N",
+      "a ts",
+      "at s",
+      "Ġ Z",
+      "al th",
+      "alt h",
+      "Ġ made",
+      "Ġm ade",
+      "Ġma de",
+      "Ġmad e",
+      "tr ue",
+      "tru e",
+      "A B",
+      "Ġ mark",
+      "Ġm ark",
+      "Ġmar k",
+      "Ġma rk",
+      "r id",
+      "ri d",
+      "if ied",
+      "ifi ed",
+      "ifie d",
+      ", čĊ",
+      "y n",
+      "p ress",
+      "pr ess",
+      "pre ss",
+      "pres s",
+      "Ġ group",
+      "Ġg roup",
+      "Ġgr oup",
+      "Ġgro up",
+      "Ġgrou p",
+      "Ġ fin",
+      "Ġf in",
+      "Ġfi n",
+      "Ġ License",
+      "ĠL icense",
+      "ĠLic ense",
+      "F ield",
+      "Fi eld",
+      "e ger",
+      "eg er",
+      "Ġ world",
+      "Ġw orld",
+      "Ġwor ld",
+      "i ness",
+      "in ess",
+      "ine ss",
+      "ines s",
+      "t y",
+      "Ġ process",
+      "Ġp rocess",
+      "Ġpro cess",
+      "Ġproc ess",
+      "Ġproces s",
+      "( b",
+      "Ġ cre",
+      "Ġc re",
+      "Ġcr e",
+      "a rn",
+      "ar n",
+      "i ves",
+      "iv es",
+      "ive s",
+      "Ġ main",
+      "Ġm ain",
+      "Ġma in",
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+      "ide o",
+      "3 6",
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+      "i mg",
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+      "P I",
+      "Ġ color",
+      "Ġc olor",
+      "Ġco lor",
+      "Ġcol or",
+      "Ġ report",
+      "Ġre port",
+      "Ġrep ort",
+      "Ġrepo rt",
+      "Ġ take",
+      "Ġt ake",
+      "Ġta ke",
+      "Ġtak e",
+      "r ib",
+      "ri b",
+      "O M",
+      "Ġ day",
+      "Ġd ay",
+      "Ġda y",
+      "Re quest",
+      "Req uest",
+      "Ġ sk",
+      "Ġs k",
+      "b ers",
+      "ber s",
+      "be rs",
+      "ĉ s",
+      ". Add",
+      ".A dd",
+      ".Ad d",
+      "o ot",
+      "oo t",
+      "I mage",
+      "Im age",
+      "Ġcom ple",
+      "Ġcomp le",
+      "Ġcompl e",
+      "ol lection",
+      "oll ection",
+      "ollect ion",
+      "olle ction",
+      "Ġ top",
+      "Ġt op",
+      "Ġto p",
+      "Ġ free",
+      "Ġf ree",
+      "Ġfr ee",
+      "Ġfre e",
+      "A S",
+      "D e",
+      "Ġ On",
+      "ĠO n",
+      "I G",
+      "9 0",
+      "e ta",
+      "et a",
+      "D ate",
+      "Da te",
+      "Dat e",
+      "Ġ action",
+      "Ġa ction",
+      "Ġact ion",
+      "Ġac tion",
+      "3 4",
+      "O ver",
+      "i tor",
+      "it or",
+      "ito r",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "n ot",
+      "no t",
+      "Ġ index",
+      "Ġin dex",
+      "Ġind ex",
+      "Ġinde x",
+      "h er",
+      "he r",
+      "i con",
+      "ic on",
+      "ico n",
+      "O n",
+      "; čĊčĊ",
+      ";čĊ čĊ",
+      "iv ity",
+      "ivi ty",
+      "m and",
+      "man d",
+      "ma nd",
+      ". Windows",
+      ".W indows",
+      ".Window s",
+      "O L",
+      "Ġ real",
+      "Ġre al",
+      "Ġ max",
+      "Ġm ax",
+      "Ġma x",
+      "l and",
+      "la nd",
+      "lan d",
+      ". ...",
+      ".. ..",
+      "... .",
+      "r aph",
+      "ra ph",
+      "rap h",
+      "Ġ build",
+      "Ġb uild",
+      "Ġbu ild",
+      "l eg",
+      "le g",
+      "as sword",
+      "ass word",
+      "? ĊĊ",
+      "?Ċ Ċ",
+      "âĢ ¦",
+      "o ok",
+      "oo k",
+      "u ck",
+      "uc k",
+      "Ġ message",
+      "Ġm essage",
+      "Ġmess age",
+      "Ġmes sage",
+      "t est",
+      "te st",
+      "tes t",
+      "i vers",
+      "iv ers",
+      "ive rs",
+      "iver s",
+      "3 8",
+      "Ġ input",
+      "Ġin put",
+      "Ġinp ut",
+      "Ġ art",
+      "Ġa rt",
+      "Ġar t",
+      "Ġ between",
+      "Ġb etween",
+      "Ġbet ween",
+      "G et",
+      "Ge t",
+      "en ter",
+      "ent er",
+      "ente r",
+      "g round",
+      "gr ound",
+      "gro und",
+      "e ne",
+      "en e",
+      "Ã ¡",
+      ". length",
+      ".l ength",
+      ".len gth",
+      ".le ngth",
+      "N ode",
+      "No de",
+      "( i",
+      "C lass",
+      "Cl ass",
+      "Cla ss",
+      "f or",
+      "fo r",
+      "Ġ âĢĶ",
+      "ĠâĢ Ķ",
+      "t en",
+      "te n",
+      "o in",
+      "oi n",
+      "Ġ ke",
+      "Ġk e",
+      "u i",
+      "Ġ IN",
+      "ĠI N",
+      "Ġ table",
+      "Ġt able",
+      "Ġtab le",
+      "Ġta ble",
+      "s ub",
+      "su b",
+      "Ġ Le",
+      "ĠL e",
+      "Ġ head",
+      "Ġh ead",
+      "Ġhe ad",
+      "Ġ must",
+      "Ġm ust",
+      "Ġmus t",
+      "Ġmu st",
+      "//// ////////////",
+      "//////// ////////",
+      "//////////// ////",
+      ". util",
+      ".u til",
+      ".ut il",
+      "Cont ext",
+      "Con text",
+      "Ġ order",
+      "Ġor der",
+      "Ġord er",
+      "Ġ mov",
+      "Ġm ov",
+      "Ġmo v",
+      "o ver",
+      "ov er",
+      "ove r",
+      "Ġ contin",
+      "Ġcon tin",
+      "Ġcont in",
+      "Ġ say",
+      "Ġs ay",
+      "Ġsa y",
+      "st atic",
+      "stat ic",
+      "sta tic",
+      ". Text",
+      ".T ext",
+      ".Te xt",
+      "Ġ className",
+      "Ġclass Name",
+      "p any",
+      "pan y",
+      "pa ny",
+      "Ġ ter",
+      "Ġt er",
+      "Ġte r",
+      "h ead",
+      "he ad",
+      "hea d",
+      "r g",
+      "Ġ product",
+      "Ġpro duct",
+      "Ġprodu ct",
+      "Ġprod uct",
+      "T his",
+      "Th is",
+      ". âĢĿ",
+      "Ġ But",
+      "ĠB ut",
+      "ĠBu t",
+      "7 0",
+      "l oy",
+      "lo y",
+      "Ġ double",
+      "Ġd ouble",
+      "Ġdo uble",
+      "Ġdoub le",
+      "Ġdou ble",
+      "s g",
+      "Ġ place",
+      "Ġp lace",
+      "Ġpl ace",
+      "Ġplac e",
+      "Ġpla ce",
+      ". x",
+      "m essage",
+      "mes sage",
+      "mess age",
+      "Ġ information",
+      "Ġin formation",
+      "Ġinform ation",
+      "Ġinformat ion",
+      "pr ivate",
+      "priv ate",
+      "Ġ oper",
+      "Ġo per",
+      "Ġop er",
+      "c ed",
+      "ce d",
+      "d b",
+      "\" ></",
+      "\"> </",
+      "\">< /",
+      "P aram",
+      "Par am",
+      "Pa ram",
+      "Para m",
+      "i cle",
+      "ic le",
+      "icl e",
+      "Ġ week",
+      "Ġwe ek",
+      "Ġwee k",
+      "Ġ prop",
+      "Ġp rop",
+      "Ġpro p",
+      "Ġpr op",
+      "t able",
+      "ta ble",
+      "tab le",
+      "tabl e",
+      "id get",
+      "idge t",
+      "p lace",
+      "pl ace",
+      "pla ce",
+      "P rop",
+      "Pro p",
+      "Pr op",
+      "Ġ All",
+      "ĠA ll",
+      "ĠAl l",
+      "e ls",
+      "el s",
+      "b ox",
+      "bo x",
+      ". ĊĊĊĊ",
+      ".ĊĊ ĊĊ",
+      ".Ċ ĊĊĊ",
+      ".ĊĊĊ Ċ",
+      ". R",
+      "Ġ To",
+      "ĠT o",
+      "i ter",
+      "it er",
+      "ite r",
+      "S h",
+      "u ration",
+      "ur ation",
+      "ura tion",
+      "urat ion",
+      "o lder",
+      "ol der",
+      "old er",
+      "_ list",
+      "_l ist",
+      "_li st",
+      "c ome",
+      "com e",
+      "co me",
+      "Ġ sw",
+      "Ġs w",
+      "iz ation",
+      "iza tion",
+      "ĉ for",
+      "ĉf or",
+      "b l",
+      "Ġ program",
+      "Ġp rogram",
+      "Ġpro gram",
+      "Ġpr ogram",
+      "Ġprog ram",
+      "( e",
+      "a pe",
+      "ap e",
+      "c heck",
+      "ch eck",
+      "che ck",
+      ". Forms",
+      ".Form s",
+      ".For ms",
+      "Ġ und",
+      "Ġu nd",
+      "Ġun d",
+      "ateg ory",
+      "ategor y",
+      "atego ry",
+      "7 5",
+      "a gs",
+      "ag s",
+      "Ġ response",
+      "Ġres ponse",
+      "Ġrespons e",
+      "Ġresp onse",
+      "U S",
+      "re quest",
+      "req uest",
+      "requ est",
+      "Ġ struct",
+      "Ġstr uct",
+      "Ġstru ct",
+      "e scription",
+      "es cription",
+      "Ġ code",
+      "Ġc ode",
+      "Ġco de",
+      "Ġcod e",
+      "_ H",
+      "u ffer",
+      "uff er",
+      "uf fer",
+      "Ġ without",
+      "Ġwith out",
+      "lo bal",
+      "lob al",
+      "M anager",
+      "Man ager",
+      "Manage r",
+      "Mana ger",
+      "il ter",
+      "ilt er",
+      "P O",
+      "ĉ this",
+      "ĉt his",
+      "ĉth is",
+      "o ption",
+      "op tion",
+      "opt ion",
+      "Ġ sol",
+      "Ġs ol",
+      "Ġso l",
+      "Ġ ===",
+      "Ġ= ==",
+      "Ġ== =",
+      "a kes",
+      "ak es",
+      "ake s",
+      "Cont roller",
+      "Control ler",
+      "Contr oller",
+      "4 4",
+      "M essage",
+      "Mes sage",
+      "Mess age",
+      "Ġ ref",
+      "Ġre f",
+      "Ġr ef",
+      "e ver",
+      "ev er",
+      "eve r",
+      "Ġ So",
+      "ĠS o",
+      "a ining",
+      "ain ing",
+      "ai ning",
+      ". append",
+      ".app end",
+      ".ap pend",
+      "Ġ still",
+      "Ġst ill",
+      "Ġstil l",
+      "Ġpro vid",
+      "Ġpr ovid",
+      "Ġprov id",
+      "Ġ assert",
+      "Ġas sert",
+      "Ġass ert",
+      "m ed",
+      "me d",
+      "Ġ cap",
+      "Ġc ap",
+      "Ġca p",
+      "us iness",
+      "usi ness",
+      "Ġ rep",
+      "Ġre p",
+      "Ġr ep",
+      "t ings",
+      "ting s",
+      "tin gs",
+      "v ed",
+      "ve d",
+      ". N",
+      "a pi",
+      "ap i",
+      "O D",
+      "Ġ field",
+      "Ġf ield",
+      "Ġfi eld",
+      "Ġfie ld",
+      "i ven",
+      "iv en",
+      "ive n",
+      "o to",
+      "ot o",
+      "âĢ ľ",
+      "c ol",
+      "co l",
+      "( x",
+      "g ht",
+      "gh t",
+      "Res ult",
+      "C ode",
+      "Co de",
+      "Cod e",
+      ". is",
+      ".i s",
+      "l ink",
+      "li nk",
+      "lin k",
+      "Ġ cour",
+      "Ġc our",
+      "Ġco ur",
+      "Ġcou r",
+      "A n",
+      "Ġ team",
+      "Ġt eam",
+      "Ġte am",
+      "Ġtea m",
+      "ĉ int",
+      "ĉi nt",
+      "ĉin t",
+      "i ft",
+      "if t",
+      "5 5",
+      "Ġ second",
+      "Ġse cond",
+      "Ġsec ond",
+      "Ġ going",
+      "Ġgo ing",
+      "Ġ range",
+      "Ġr ange",
+      "Ġran ge",
+      "Ġra nge",
+      "Ġrang e",
+      "_ E",
+      "n ess",
+      "ne ss",
+      "nes s",
+      "3 9",
+      "Ġf am",
+      "Ġfa m",
+      "Ġ nil",
+      "Ġn il",
+      "Ġni l",
+      "Ġ Cont",
+      "ĠC ont",
+      "ĠCon t",
+      "ĠCo nt",
+      "ail able",
+      "u tes",
+      "ut es",
+      "ute s",
+      "a tab",
+      "at ab",
+      "ata b",
+      "Ġ fact",
+      "Ġf act",
+      "Ġfa ct",
+      "Ġfac t",
+      "Ġ vis",
+      "Ġv is",
+      "Ġvi s",
+      "( &",
+      "Ġ AN",
+      "ĠA N",
+      "3 1",
+      "A l",
+      "t itle",
+      "ti tle",
+      "tit le",
+      "Ġ android",
+      "Ġand roid",
+      "C E",
+      "\\ \"",
+      "i rt",
+      "ir t",
+      "Ġw rit",
+      "Ġwr it",
+      "Ð ½",
+      "ĉ m",
+      "ft ware",
+      "o nd",
+      "on d",
+      "Ġ ret",
+      "Ġre t",
+      "Ġr et",
+      "os ition",
+      "osi tion",
+      "osit ion",
+      "Ġ home",
+      "Ġh ome",
+      "Ġhom e",
+      "Ġho me",
+      "Ġ left",
+      "Ġl eft",
+      "Ġle ft",
+      "ar gs",
+      "arg s",
+      "m eric",
+      "mer ic",
+      "me ric",
+      "4 8",
+      "Ġ direct",
+      "Ġd irect",
+      "Ġdi rect",
+      "Ġdir ect",
+      "Ġdire ct",
+      "o ci",
+      "oc i",
+      "P l",
+      "A s",
+      "r et",
+      "re t",
+      "a do",
+      "ad o",
+      "O f",
+      "c hn",
+      "ch n",
+      "Ġ Get",
+      "ĠG et",
+      "ĠGe t",
+      "e e",
+      "r oss",
+      "ro ss",
+      "ros s",
+      "( );",
+      "() ;",
+      "_ ___",
+      "__ __",
+      "___ _",
+      ". ph",
+      ".p h",
+      "I t",
+      "o ute",
+      "ou te",
+      "out e",
+      "Ġex per",
+      "Ġexp er",
+      "ch ool",
+      "cho ol",
+      "w ww",
+      "ww w",
+      "} ,",
+      "Ġ allow",
+      "Ġal low",
+      "Ġall ow",
+      "Ġallo w",
+      "Ġ Â",
+      "( ))",
+      "() )",
+      "s ize",
+      "si ze",
+      "siz e",
+      "i sm",
+      "is m",
+      "a i",
+      "t ract",
+      "tr act",
+      "tra ct",
+      "a ne",
+      "an e",
+      ". ..ĊĊ",
+      ".. .ĊĊ",
+      "... ĊĊ",
+      "...Ċ Ċ",
+      "con text",
+      "cont ext",
+      "conte xt",
+      "Ġ beg",
+      "Ġb eg",
+      "Ġbe g",
+      "C H",
+      "Ġ page",
+      "Ġp age",
+      "Ġpa ge",
+      "Ġpag e",
+      "h ip",
+      "hi p",
+      "n o",
+      "c ore",
+      "co re",
+      "cor e",
+      "s p",
+      "Ġ different",
+      "Ġd ifferent",
+      "Ġdiffer ent",
+      "i able",
+      "ia ble",
+      "Ġ Me",
+      "ĠM e",
+      "_ IN",
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+      "Ġ turn",
+      "Ġt urn",
+      "Ġtu rn",
+      "Ġtur n",
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+      "it her",
+      "ith er",
+      "ithe r",
+      "0 9",
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+      ".s ize",
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+      "Ġbo dy",
+      "Ġbod y",
+      "r esh",
+      "re sh",
+      "res h",
+      "e turn",
+      "et urn",
+      "etur n",
+      "etu rn",
+      "1 99",
+      "19 9",
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+      "y les",
+      "yle s",
+      "yl es",
+      "or mal",
+      "orm al",
+      "p i",
+      "Ġ something",
+      "Ġs omething",
+      "Ġsome thing",
+      "Ġsom ething",
+      "! --",
+      "u int",
+      "ui nt",
+      "uin t",
+      "Ġ produ",
+      "Ġp rodu",
+      "Ġpro du",
+      "Ġpr odu",
+      "Ġprod u",
+      "Ġ stand",
+      "Ġst and",
+      "Ġsta nd",
+      "Ġstan d",
+      "Ġpro ble",
+      "Ġpr oble",
+      "Ġprob le",
+      "Ġprobl e",
+      "Ġ available",
+      "Ġa vailable",
+      "Ġav ailable",
+      "Ġavail able",
+      "m t",
+      "Ġ Bl",
+      "ĠB l",
+      "Ġ ...",
+      "Ġ. ..",
+      "Ġ.. .",
+      "Ġ block",
+      "Ġb lock",
+      "Ġbl ock",
+      "Ġblo ck",
+      "Ġbloc k",
+      "In put",
+      "Ġ keep",
+      "Ġke ep",
+      "C ount",
+      "Co unt",
+      "Cou nt",
+      "o pen",
+      "op en",
+      "ope n",
+      "Ġ ['",
+      "Ġ[ '",
+      "Ġ throw",
+      "Ġth row",
+      "Ġthr ow",
+      "Ġthro w",
+      "u ilder",
+      "uild er",
+      "ui lder",
+      "uil der",
+      "A ction",
+      "Act ion",
+      "Ac tion",
+      "Ġ things",
+      "Ġth ings",
+      "Ġthing s",
+      "Ġthin gs",
+      "Tr ue",
+      "Ġ url",
+      "Ġu rl",
+      "Ġur l",
+      "Ġ Bo",
+      "ĠB o",
+      "print f",
+      "Ġ red",
+      "Ġre d",
+      "Ġr ed",
+      "j s",
+      ". create",
+      ".c reate",
+      "Ġ Or",
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+      "S tatus",
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+      "Stat us",
+      "In stance",
+      "Inst ance",
+      "Ġ control",
+      "Ġc ontrol",
+      "Ġcont rol",
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+      "Ġcontro l",
+      "Ġ come",
+      "Ġc ome",
+      "Ġcom e",
+      "Ġco me",
+      "Ġ custom",
+      "Ġc ustom",
+      "Ġcust om",
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+      "l ocation",
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+      "loc ation",
+      "0 7",
+      "m odel",
+      "mod el",
+      "mo del",
+      "mode l",
+      "Ġ čĊ",
+      "Ġč Ċ",
+      "Ġ source",
+      "Ġs ource",
+      "Ġsour ce",
+      "Ġe as",
+      "Ġea s",
+      ". out",
+      ".o ut",
+      "] ĊĊ",
+      "]Ċ Ċ",
+      "o ney",
+      "on ey",
+      "one y",
+      "Ġ await",
+      "Ġa wait",
+      "Ġaw ait",
+      "Ġp artic",
+      "Ġpart ic",
+      "Ġpar tic",
+      "Ġparti c",
+      "A P",
+      "ub lish",
+      "ubl ish",
+      "o des",
+      "od es",
+      "ode s",
+      "_ pro",
+      "_p ro",
+      "_pr o",
+      "p ly",
+      "pl y",
+      "r iter",
+      "ri ter",
+      "rit er",
+      "rite r",
+      "Ġ prov",
+      "Ġp rov",
+      "Ġpro v",
+      "Ġpr ov",
+      "Ġ mill",
+      "Ġm ill",
+      "Ġmil l",
+      "Ġmi ll",
+      "H T",
+      "] )Ċ",
+      "]) Ċ",
+      "Ġ chang",
+      "Ġc hang",
+      "Ġch ang",
+      "Ġcha ng",
+      "Ġchan g",
+      "Ġ ask",
+      "Ġa sk",
+      "Ġas k",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "Ġ output",
+      "Ġout put",
+      "Ġ email",
+      "Ġe mail",
+      "Ġem ail",
+      "6 8",
+      ". push",
+      ".p ush",
+      "Ġ }čĊčĊ",
+      "Ġ} čĊčĊ",
+      "Ġ}čĊ čĊ",
+      "i nation",
+      "in ation",
+      "ina tion",
+      "inati on",
+      "4 7",
+      "at rix",
+      "atri x",
+      "atr ix",
+      "T able",
+      "Tab le",
+      "Ta ble",
+      "u ccess",
+      "uc cess",
+      "ucc ess",
+      "] );Ċ",
+      "]) ;Ċ",
+      "]); Ċ",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "Ġ disc",
+      "Ġd isc",
+      "Ġdis c",
+      "Ġdi sc",
+      "( [",
+      "Ġ business",
+      "Ġb usiness",
+      "Ġbus iness",
+      "h eight",
+      "he ight",
+      "hei ght",
+      ". html",
+      ".h tml",
+      ".ht ml",
+      ".htm l",
+      "t a",
+      "f ield",
+      "fi eld",
+      "Ġ required",
+      "Ġre quired",
+      "Ġrequire d",
+      "Ġrequ ired",
+      "_ R",
+      "Ġg overn",
+      "Ġgo vern",
+      "Ġgover n",
+      "Ġgov ern",
+      "} čĊčĊ",
+      "}čĊ čĊ",
+      "l ex",
+      "le x",
+      "5 00",
+      "50 0",
+      ". ,",
+      "Ġ Set",
+      "ĠS et",
+      "ĠSe t",
+      "u rch",
+      "ur ch",
+      "/ //",
+      "// /",
+      "t s",
+      "a f",
+      "Ġ might",
+      "Ġm ight",
+      "Ġmi ght",
+      "Ġmig ht",
+      "i story",
+      "ist ory",
+      "istor y",
+      "isto ry",
+      "S tr",
+      "St r",
+      "Ġ never",
+      "Ġn ever",
+      "Ġne ver",
+      "Ġnev er",
+      "Res ponse",
+      "Resp onse",
+      "Respons e",
+      "ar se",
+      "ars e",
+      "a da",
+      "ad a",
+      "Ġ How",
+      "ĠH ow",
+      "ĠHo w",
+      "Ġ *)",
+      "Ġ* )",
+      "Ġ ;",
+      "Ġ hard",
+      "Ġh ard",
+      "Ġhar d",
+      "Ġha rd",
+      "A d",
+      "Ġ intern",
+      "Ġin tern",
+      "Ġint ern",
+      "Ġinter n",
+      "Ġinte rn",
+      "u sed",
+      "us ed",
+      "use d",
+      "( data",
+      "(d ata",
+      "(dat a",
+      "(da ta",
+      "m od",
+      "mo d",
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+      "anne l",
+      "Ġ np",
+      "Ġn p",
+      "u gg",
+      "ug g",
+      "Ġ />Ċ",
+      "Ġ/ >Ċ",
+      "Ġ/> Ċ",
+      "Ġ called",
+      "Ġc alled",
+      "Ġcall ed",
+      "Ġcal led",
+      "Ġcalle d",
+      "b ody",
+      "bo dy",
+      "Ġ cho",
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+      "Ġch o",
+      "( r",
+      "_ set",
+      "_s et",
+      "_se t",
+      "i rd",
+      "ir d",
+      "Ġ >=",
+      "Ġ> =",
+      "Ġ };Ċ",
+      "Ġ} ;Ċ",
+      "Ġ}; Ċ",
+      "Ġ options",
+      "Ġo ptions",
+      "Ġoption s",
+      "Ġopt ions",
+      "Ġ Gener",
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+      "ĠGen er",
+      "ĠGene r",
+      "Ġ height",
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+      "Ġi de",
+      "Ġid e",
+      "Ġ access",
+      "Ġa ccess",
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+      "Ġac cess",
+      "Ġacces s",
+      "angu age",
+      "Ġ protected",
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+      "Ġ job",
+      "Ġj ob",
+      "Ġjo b",
+      "Ġ There",
+      "ĠT here",
+      "ĠThe re",
+      "ĠTh ere",
+      "ĠTher e",
+      "D ef",
+      "De f",
+      "Ġ address",
+      "Ġadd ress",
+      "Ġad dress",
+      "Ġaddr ess",
+      "Ġ uint",
+      "Ġu int",
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+      "N ot",
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+      "o o",
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+      "aine d",
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+      "Ġ sum",
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+      "Ġsu m",
+      "- w",
+      "Ġ Date",
+      "ĠD ate",
+      "ĠDa te",
+      "ĠDat e",
+      "Ġ little",
+      "Ġl ittle",
+      "Ġlit tle",
+      "Ġlitt le",
+      "Ġf ri",
+      "Ġfr i",
+      "Y PE",
+      "YP E",
+      "Ġ port",
+      "Ġp ort",
+      "Ġpo rt",
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+      "e h",
+      "p ring",
+      "pr ing",
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+      "_ path",
+      "_p ath",
+      "_pa th",
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+      "Ġsp ecial",
+      "Ġspec ial",
+      "Ġspe cial",
+      "Ġspeci al",
+      "I ZE",
+      "IZ E",
+      "Ġ city",
+      "Ġc ity",
+      "Ġcit y",
+      "Ġci ty",
+      "/ *Ċ",
+      "/* Ċ",
+      "Ġ Eng",
+      "ĠE ng",
+      "ĠEn g",
+      "i xed",
+      "ix ed",
+      "ixe d",
+      "in ary",
+      "ina ry",
+      "inar y",
+      "p y",
+      "Ġ eff",
+      "Ġe ff",
+      "Ġef f",
+      "a rio",
+      "ar io",
+      "ari o",
+      "Ġ tell",
+      "Ġt ell",
+      "Ġte ll",
+      "Ġtel l",
+      "a vor",
+      "av or",
+      "avo r",
+      "Ġ select",
+      "Ġs elect",
+      "Ġse lect",
+      "Ġsel ect",
+      "Ġsele ct",
+      "le vel",
+      "lev el",
+      "im um",
+      "imu m",
+      "o per",
+      "op er",
+      "ope r",
+      "B uilder",
+      "Build er",
+      "Bu ilder",
+      "I P",
+      "' ),Ċ",
+      "') ,Ċ",
+      "'), Ċ",
+      "e sc",
+      "es c",
+      "Ġ font",
+      "Ġf ont",
+      "Ġfo nt",
+      "Ġfon t",
+      "\" ;ĊĊ",
+      "\";Ċ Ċ",
+      "\"; ĊĊ",
+      "Ġ Am",
+      "ĠA m",
+      "i shed",
+      "is hed",
+      "ish ed",
+      "il ls",
+      "ill s",
+      "In ter",
+      "Int er",
+      "O W",
+      "Ġ course",
+      "Ġc ourse",
+      "Ġco urse",
+      "Ġcour se",
+      "Ġcours e",
+      "Ġ late",
+      "Ġl ate",
+      "Ġla te",
+      "Ġlat e",
+      "id dle",
+      "idd le",
+      "4 3",
+      "Ġ amount",
+      "Ġa mount",
+      "Ġam ount",
+      "Ġamo unt",
+      "Ġ async",
+      "Ġa sync",
+      "Ġas ync",
+      "i no",
+      "in o",
+      "c ul",
+      "cu l",
+      "Ġ ì",
+      "an dle",
+      "and le",
+      "_ user",
+      "_u ser",
+      "_us er",
+      "_use r",
+      "Ġ ben",
+      "Ġb en",
+      "Ġbe n",
+      "Ġ Cal",
+      "ĠC al",
+      "ĠCa l",
+      "Ġ $_",
+      "Ġ$ _",
+      "Ġ Rep",
+      "ĠR ep",
+      "ĠRe p",
+      "Ġen ough",
+      "T oken",
+      "To ken",
+      "Tok en",
+      ". user",
+      ".use r",
+      ".u ser",
+      ".us er",
+      "( j",
+      "S c",
+      "W idth",
+      "n ow",
+      "no w",
+      "at form",
+      "Ġ looking",
+      "Ġlo oking",
+      "Ġlook ing",
+      "Ġ hold",
+      "Ġh old",
+      "Ġho ld",
+      "Ġhol d",
+      "M odule",
+      "Mod ule",
+      "I TY",
+      "IT Y",
+      "v o",
+      "i son",
+      "is on",
+      "iso n",
+      ". Data",
+      ".D ata",
+      "y c",
+      "Ġ pot",
+      "Ġp ot",
+      "Ġpo t",
+      "Ġ Trump",
+      "ĠTr ump",
+      "ĠTru mp",
+      "id ual",
+      "i des",
+      "id es",
+      "ide s",
+      "r t",
+      "Ġ property",
+      "Ġp roperty",
+      "Ġpro perty",
+      "Ġprop erty",
+      "Ġproper ty",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "am ework",
+      "ame work",
+      "g o",
+      "Ġ low",
+      "Ġl ow",
+      "Ġlo w",
+      "Ġ para",
+      "Ġp ara",
+      "Ġpar a",
+      "Ġpa ra",
+      "Ġ price",
+      "Ġp rice",
+      "Ġpr ice",
+      "Ġpri ce",
+      "u ry",
+      "ur y",
+      "Ġ today",
+      "Ġt oday",
+      "Ġto day",
+      "Ġtod ay",
+      "Ġtoda y",
+      "r oy",
+      "ro y",
+      "Ġ '/",
+      "Ġ' /",
+      "Ġ polit",
+      "Ġp olit",
+      "Ġpol it",
+      "Ġpo lit",
+      "Ġ ''",
+      "Ġ' '",
+      "y mb",
+      "ym b",
+      "P h",
+      "Ġ adv",
+      "Ġa dv",
+      "Ġad v",
+      "Ġ attack",
+      "Ġatt ack",
+      "Ġ Ste",
+      "ĠS te",
+      "ĠSt e",
+      "R OM",
+      "RO M",
+      "4 00",
+      "40 0",
+      "a na",
+      "an a",
+      "Ġ means",
+      "Ġme ans",
+      "Ġmean s",
+      "Ġ story",
+      "Ġst ory",
+      "Ġstor y",
+      "Ġsto ry",
+      "i ds",
+      "id s",
+      "a ken",
+      "ak en",
+      "ake n",
+      "Ġ meet",
+      "Ġme et",
+      "Ġmee t",
+      "Ġ mom",
+      "Ġm om",
+      "Ġmo m",
+      "Ġ âĢĺ",
+      "ĠâĢ ĺ",
+      "Ġ ?>",
+      "Ġ? >",
+      "Ġ den",
+      "Ġd en",
+      "Ġde n",
+      "ob ile",
+      "obi le",
+      "obil e",
+      "ch ange",
+      "chan ge",
+      "cha nge",
+      "chang e",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "i ci",
+      "ic i",
+      "n a",
+      "Ġ Form",
+      "ĠF orm",
+      "ĠFor m",
+      "ĠFo rm",
+      "Ġ sort",
+      "Ġs ort",
+      "Ġso rt",
+      "Ġsor t",
+      "S elect",
+      "Se lect",
+      "Sel ect",
+      "Sele ct",
+      "p are",
+      "par e",
+      "pa re",
+      "Ġ thought",
+      "Ġth ought",
+      "Ġthough t",
+      "Ġthou ght",
+      "Ġtho ught",
+      "_ con",
+      "_c on",
+      "_co n",
+      "Ġ task",
+      "Ġt ask",
+      "Ġta sk",
+      "Ġtas k",
+      "o cus",
+      "oc us",
+      "ocu s",
+      "Ġ DE",
+      "ĠD E",
+      "Ġ Min",
+      "ĠM in",
+      "ĠMi n",
+      "Ġ opt",
+      "Ġo pt",
+      "Ġop t",
+      "ĉ break",
+      "ĉb reak",
+      "u mer",
+      "um er",
+      "ume r",
+      "K E",
+      "t hen",
+      "th en",
+      "the n",
+      "Ġ det",
+      "Ġd et",
+      "Ġde t",
+      "Ġ Test",
+      "ĠT est",
+      "ĠTe st",
+      "ĠTes t",
+      "p orts",
+      "port s",
+      "por ts",
+      "po rts",
+      "Ġ review",
+      "Ġre view",
+      "Ġr eview",
+      "Ġrev iew",
+      "( '/",
+      "(' /",
+      "m ove",
+      "mo ve",
+      "mov e",
+      "Ġ switch",
+      "Ġs witch",
+      "Ġsw itch",
+      "E RT",
+      "ER T",
+      "p atch",
+      "pat ch",
+      "an not",
+      "ann ot",
+      "anno t",
+      "ã Ĥ",
+      "Ġ above",
+      "Ġa bove",
+      "Ġab ove",
+      "it ive",
+      "iti ve",
+      "5 6",
+      "Ġ question",
+      "Ġqu estion",
+      "Ġquest ion",
+      "Ġq uestion",
+      "Ġquesti on",
+      "Ġques tion",
+      "Ġ Qu",
+      "ĠQ u",
+      "ãĢĤ ĊĊ",
+      "ãĢĤĊ Ċ",
+      "g le",
+      "gl e",
+      "Ġ word",
+      "Ġw ord",
+      "Ġwor d",
+      "Ġwo rd",
+      "Ġ provide",
+      "Ġpro vide",
+      "Ġprovid e",
+      "Ġprov ide",
+      "Ġ Return",
+      "ĠR eturn",
+      "ĠRe turn",
+      "ĠRet urn",
+      "Ġ research",
+      "Ġre search",
+      "Ġres earch",
+      "ã o",
+      "u str",
+      "us tr",
+      "ust r",
+      "Ġ publish",
+      "Ġp ublish",
+      "Ġpub lish",
+      "Ġpubli sh",
+      "ch ema",
+      "che ma",
+      "chem a",
+      "} }",
+      "Ġ CON",
+      "ĠC ON",
+      "ĠCO N",
+      "- in",
+      "-i n",
+      "all back",
+      "Ġ cover",
+      "Ġc over",
+      "Ġco ver",
+      "Ġcov er",
+      "\\ \\",
+      "c olor",
+      "co lor",
+      "col or",
+      "colo r",
+      "Ġ IS",
+      "ĠI S",
+      "Ġ whether",
+      "Ġwh ether",
+      "Ġwhe ther",
+      "i mate",
+      "im ate",
+      "ima te",
+      "imat e",
+      "i sc",
+      "is c",
+      "B ar",
+      "Ba r",
+      "Ġ div",
+      "Ġd iv",
+      "Ġdi v",
+      "B e",
+      "o urn",
+      "ou rn",
+      "our n",
+      "Ġ having",
+      "Ġh aving",
+      "Ġha ving",
+      "Ġhav ing",
+      "l em",
+      "le m",
+      "p layer",
+      "pl ayer",
+      "play er",
+      "pla yer",
+      "a bs",
+      "ab s",
+      "am era",
+      "ame ra",
+      "amer a",
+      "n ey",
+      "ne y",
+      "Ġ exc",
+      "Ġe xc",
+      "Ġex c",
+      "g ether",
+      "get her",
+      "ge ther",
+      "p lied",
+      "pl ied",
+      "a o",
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+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
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+      "). Ċ",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "Ġa gre",
+      "Ġag re",
+      "Ġagr e",
+      "Ġ FROM",
+      "ĠF ROM",
+      "ĠFR OM",
+      "Ġ cook",
+      "Ġc ook",
+      "Ġco ok",
+      "Ġ everything",
+      "Ġevery thing",
+      "il ities",
+      "ilit ies",
+      "ili ties",
+      ". status",
+      ".s tatus",
+      ".st atus",
+      ".stat us",
+      "Ġ relations",
+      "Ġre lations",
+      "Ġrel ations",
+      "Ġrelation s",
+      "Ġrelat ions",
+      "ex tern",
+      "ext ern",
+      "exter n",
+      "Ġ nothing",
+      "Ġno thing",
+      "Ġ running",
+      "Ġr unning",
+      "Ġrun ning",
+      "ĉ void",
+      "ĉv oid",
+      "ĉvo id",
+      "R I",
+      "_ a",
+      "_ CON",
+      "_C ON",
+      "_CO N",
+      "p or",
+      "po r",
+      ". sub",
+      ".s ub",
+      "re quire",
+      "req uire",
+      "requ ire",
+      "Ġ City",
+      "ĠC ity",
+      "ĠCit y",
+      "ĠCi ty",
+      "Ġ West",
+      "ĠW est",
+      "ĠWe st",
+      "ĠWes t",
+      "Ġ mor",
+      "Ġm or",
+      "Ġmo r",
+      "st ore",
+      "sto re",
+      "stor e",
+      "E quals",
+      "Equal s",
+      "Equ als",
+      "o der",
+      "od er",
+      "ode r",
+      "Ġ na",
+      "Ġn a",
+      "Ġ [[",
+      "Ġ[ [",
+      "Ġ ('",
+      "Ġ( '",
+      "Ġ Don",
+      "ĠD on",
+      "ĠDo n",
+      "E RS",
+      "ER S",
+      "/ p",
+      ". json",
+      ".j son",
+      ".js on",
+      "a bor",
+      "ab or",
+      "abo r",
+      "Ġ someone",
+      "Ġsome one",
+      "_ text",
+      "_t ext",
+      "_te xt",
+      "_tex t",
+      ". css",
+      ".c ss",
+      ".cs s",
+      ". Tab",
+      ".T ab",
+      "Ġ Some",
+      "ĠS ome",
+      "ĠSo me",
+      "ĠSom e",
+      "a to",
+      "at o",
+      "d ouble",
+      "do uble",
+      "dou ble",
+      "Ġ share",
+      "Ġs hare",
+      "Ġsh are",
+      "Ġsha re",
+      "Ġshar e",
+      "( void",
+      "(v oid",
+      "(vo id",
+      "_ dir",
+      "_d ir",
+      "_di r",
+      "Ġ ur",
+      "Ġu r",
+      "St ack",
+      "Ġ World",
+      "ĠW orld",
+      "ĠWor ld",
+      ". X",
+      "s tract",
+      "st ract",
+      "str act",
+      "stra ct",
+      "H ow",
+      "Ho w",
+      ". Generic",
+      ".G eneric",
+      ".Gen eric",
+      "i cles",
+      "ic les",
+      "icle s",
+      "icl es",
+      "Ġ entry",
+      "Ġen try",
+      "Ġent ry",
+      "Ġentr y",
+      "Ġ changes",
+      "Ġch anges",
+      "Ġchange s",
+      "Ġchang es",
+      "Ġchan ges",
+      "Ġ personal",
+      "Ġperson al",
+      "Ġpers onal",
+      "Ġpersona l",
+      "Ġperso nal",
+      "( A",
+      "Ġ offset",
+      "Ġo ffset",
+      "Ġoff set",
+      "Ġoffs et",
+      "_ ptr",
+      "_p tr",
+      "_pt r",
+      "Ġ pie",
+      "Ġp ie",
+      "Ġpi e",
+      "Ġ Jan",
+      "ĠJ an",
+      "ĠJa n",
+      "- group",
+      "-g roup",
+      "-gr oup",
+      "m odule",
+      "mod ule",
+      "I tems",
+      "Item s",
+      "It ems",
+      "Ġ However",
+      "ĠHow ever",
+      "ĠHowe ver",
+      "ver age",
+      "ve rage",
+      ". Font",
+      ".F ont",
+      "Ġ events",
+      "Ġe vents",
+      "Ġeven ts",
+      "Ġevent s",
+      "Ġev ents",
+      "Ġeve nts",
+      ". min",
+      ".m in",
+      ".mi n",
+      "Ġin vol",
+      "Ġinv ol",
+      "Ġinvo l",
+      "z a",
+      "Ġ whole",
+      "Ġw hole",
+      "Ġwh ole",
+      "Ġwho le",
+      "Ġ needed",
+      "Ġne eded",
+      "Ġneed ed",
+      "Ġ likely",
+      "Ġlike ly",
+      "Ġlik ely",
+      "r ief",
+      "ri ef",
+      "rie f",
+      "O RM",
+      "OR M",
+      "v ersion",
+      "vers ion",
+      "Ġ fight",
+      "Ġf ight",
+      "Ġfig ht",
+      "Ġfi ght",
+      "Ġ ein",
+      "Ġe in",
+      "Ġei n",
+      "F rame",
+      "Fr ame",
+      "Fra me",
+      "1 97",
+      "19 7",
+      "g en",
+      "ge n",
+      "Ġ Out",
+      "ĠO ut",
+      "ĠOu t",
+      "av igation",
+      "avig ation",
+      "L ength",
+      "Le ngth",
+      "Len gth",
+      "il led",
+      "ill ed",
+      "ille d",
+      "qu ence",
+      "que nce",
+      "Ġ !==",
+      "Ġ! ==",
+      "Ġ!= =",
+      "Ġ Software",
+      "ĠS oftware",
+      "ĠSo ftware",
+      "ĠSoft ware",
+      "Ġ writing",
+      "Ġw riting",
+      "Ġwrit ing",
+      "Ġwr iting",
+      "Ġ rate",
+      "Ġr ate",
+      "Ġrat e",
+      "Ġra te",
+      "' ],Ċ",
+      "'] ,Ċ",
+      "'], Ċ",
+      "P anel",
+      "Pane l",
+      "Pa nel",
+      "Pan el",
+      "in ner",
+      "inn er",
+      "inne r",
+      "Ġ [\"",
+      "Ġ[ \"",
+      "Ġ tw",
+      "Ġt w",
+      "c d",
+      "Ġ ;Ċ",
+      "Ġ; Ċ",
+      "_ state",
+      "_st ate",
+      "_stat e",
+      "_sta te",
+      "Ġ Sm",
+      "ĠS m",
+      "Ġ Mark",
+      "ĠM ark",
+      "ĠMar k",
+      "ĠMa rk",
+      ") )ĊĊ",
+      ")) ĊĊ",
+      "))Ċ Ċ",
+      "p rot",
+      "pr ot",
+      "pro t",
+      "Ġ Mr",
+      "ĠM r",
+      "m ethod",
+      "met hod",
+      "meth od",
+      "ust omer",
+      "ustom er",
+      "usto mer",
+      "I con",
+      "Ġ correct",
+      "Ġc orrect",
+      "Ġcor rect",
+      "Ġcorre ct",
+      "Ġcorr ect",
+      "( object",
+      "(obj ect",
+      "(o bject",
+      "(ob ject",
+      "Ġ More",
+      "ĠM ore",
+      "ĠMo re",
+      "ĠMor e",
+      "Ġ fall",
+      "Ġf all",
+      "Ġfa ll",
+      "Ġfal l",
+      "Ġ vol",
+      "Ġv ol",
+      "Ġvo l",
+      "Ġ development",
+      "Ġde velopment",
+      "Ġdevelop ment",
+      "Ġdev elopment",
+      "ent ly",
+      "Ġ si",
+      "Ġs i",
+      "m edi",
+      "med i",
+      "me di",
+      "v ing",
+      "vin g",
+      "vi ng",
+      "P P",
+      "a ker",
+      "ak er",
+      "ake r",
+      "Ġin du",
+      "Ġind u",
+      "Ġ elif",
+      "Ġe lif",
+      "Ġel if",
+      "Ġ pret",
+      "Ġp ret",
+      "Ġpr et",
+      "Ġpre t",
+      "Ġbel ieve",
+      "Ġbelie ve",
+      "n s",
+      "o met",
+      "om et",
+      "ome t",
+      "1 23",
+      "12 3",
+      "Ġ Intern",
+      "ĠIn tern",
+      "ĠInt ern",
+      "ĠInter n",
+      "R ect",
+      "Re ct",
+      "Rec t",
+      "S o",
+      ". error",
+      ".e rror",
+      ".err or",
+      ".er ror",
+      "R ead",
+      "Re ad",
+      "Ġ features",
+      "Ġf eatures",
+      "Ġfe atures",
+      "Ġfeature s",
+      "Ġfeat ures",
+      "Ġ minutes",
+      "Ġmin utes",
+      "Ġminute s",
+      "Ġminut es",
+      "- --",
+      "-- -",
+      "a sing",
+      "as ing",
+      "asi ng",
+      "asin g",
+      "c ret",
+      "cre t",
+      "cr et",
+      "\" >čĊ",
+      "\"> čĊ",
+      ". annot",
+      ".an not",
+      "Ġ collection",
+      "Ġc ollection",
+      "Ġcol lection",
+      "Ġcoll ection",
+      "Ġcollect ion",
+      "Ġcolle ction",
+      "' .",
+      "Ġ similar",
+      "Ġs imilar",
+      "Ġsim ilar",
+      "Ġsimil ar",
+      "Ġ taken",
+      "Ġt aken",
+      "Ġtake n",
+      "Ġta ken",
+      "Ġtak en",
+      "( \"%",
+      "(\" %",
+      "Or der",
+      "Ord er",
+      "' ]Ċ",
+      "'] Ċ",
+      "- md",
+      "-m d",
+      "Ġ TH",
+      "ĠT H",
+      "a ced",
+      "ace d",
+      "ac ed",
+      "Ġis n",
+      "Ġi sn",
+      "/ j",
+      "Ġ son",
+      "Ġs on",
+      "Ġso n",
+      "g raph",
+      "gr aph",
+      "gra ph",
+      "Ġ Integer",
+      "ĠInt eger",
+      "Ġn ecess",
+      "Ġne cess",
+      "Ġnec ess",
+      "Ġneces s",
+      "r een",
+      "re en",
+      "ree n",
+      "Ġ um",
+      "Ġu m",
+      "Ġ \\<",
+      "Ġ\\ <",
+      "Ġ moment",
+      "Ġm oment",
+      "Ġmom ent",
+      "Ġmo ment",
+      "Ġ bring",
+      "Ġb ring",
+      "Ġbr ing",
+      "Ġbri ng",
+      "Ġ indic",
+      "Ġin dic",
+      "Ġind ic",
+      "y sis",
+      "ys is",
+      "ysi s",
+      "Le vel",
+      "v erse",
+      "ver se",
+      "vers e",
+      "ur renc",
+      "urre nc",
+      "urr enc",
+      "_ test",
+      "_t est",
+      "_te st",
+      "Ġent ire",
+      "D own",
+      "Do wn",
+      "Ġ }ĊĊĊ",
+      "Ġ} ĊĊĊ",
+      "Ġ}Ċ ĊĊ",
+      "Ġ}ĊĊ Ċ",
+      "( result",
+      "(res ult",
+      "Ġ Read",
+      "ĠR ead",
+      "ĠRe ad",
+      "Ã ¨",
+      "M od",
+      "Mo d",
+      "Ġ trying",
+      "Ġt rying",
+      "Ġtr ying",
+      "Ġtry ing",
+      "\" ),Ċ",
+      "\") ,Ċ",
+      "\"), Ċ",
+      "Ġ member",
+      "Ġm ember",
+      "Ġmem ber",
+      "Ġmemb er",
+      "Ġ Cor",
+      "ĠC or",
+      "ĠCo r",
+      "O DO",
+      "OD O",
+      "- control",
+      "-c ontrol",
+      "-cont rol",
+      "un time",
+      "unt ime",
+      "Ġ Sim",
+      "ĠS im",
+      "ĠSi m",
+      "D ialog",
+      "Di alog",
+      "Dia log",
+      "p lot",
+      "pl ot",
+      "_ on",
+      "_o n",
+      "Ġ phys",
+      "Ġph ys",
+      "Ġphy s",
+      "} /",
+      "Ġ namespace",
+      "Ġn amespace",
+      "Ġname space",
+      "Ġnames pace",
+      "ĉ čĊ",
+      "a cc",
+      "ac c",
+      "P layer",
+      "Pl ayer",
+      "Play er",
+      "A RE",
+      "AR E",
+      "8 9",
+      "Ġ foot",
+      "Ġf oot",
+      "Ġfo ot",
+      "Ġfoo t",
+      "Ġ board",
+      "Ġb oard",
+      "Ġbo ard",
+      "Ġboa rd",
+      "p art",
+      "par t",
+      "pa rt",
+      "Ġ sus",
+      "Ġs us",
+      "Ġsu s",
+      "w ise",
+      "wi se",
+      "wis e",
+      "Ġ Mc",
+      "ĠM c",
+      "Ġ push",
+      "Ġp ush",
+      "Ġpu sh",
+      "Ġpus h",
+      "A TA",
+      "AT A",
+      "Ġ please",
+      "Ġp lease",
+      "Ġpl ease",
+      "Ġple ase",
+      "Ġplea se",
+      "Ġpleas e",
+      "r ied",
+      "ri ed",
+      "rie d",
+      "we et",
+      "b it",
+      "bi t",
+      "i ded",
+      "id ed",
+      "ide d",
+      "V E",
+      "Ġ Sw",
+      "ĠS w",
+      "U B",
+      "Ġ types",
+      "Ġt ypes",
+      "Ġtype s",
+      "Ġtyp es",
+      "Ġty pes",
+      "e dia",
+      "ed ia",
+      "edi a",
+      "Ġc los",
+      "Ġcl os",
+      "Ġclo s",
+      "ace book",
+      "W hen",
+      "Wh en",
+      "Ġ edit",
+      "Ġe dit",
+      "Ġed it",
+      "Ġedi t",
+      "i gger",
+      "ig ger",
+      "igg er",
+      "Ġe nerg",
+      "Ġen erg",
+      "Ġener g",
+      "Cont ainer",
+      "Contain er",
+      "Conta iner",
+      "Ġ phot",
+      "Ġp hot",
+      "Ġph ot",
+      "Ġ Count",
+      "ĠC ount",
+      "ĠCo unt",
+      "ĠCou nt",
+      "ĠCoun t",
+      "Ġ Europe",
+      "ĠE urope",
+      "ĠEuro pe",
+      "ĠEurop e",
+      "ĠEur ope",
+      ". Is",
+      ".I s",
+      "Ġ Russ",
+      "ĠR uss",
+      "ĠRu ss",
+      "ĠRus s",
+      "p eed",
+      "pe ed",
+      "pee d",
+      "Ġ Str",
+      "ĠS tr",
+      "ĠSt r",
+      "Ġ py",
+      "Ġp y",
+      "Ġ cult",
+      "Ġc ult",
+      "Ġcu lt",
+      "Ġcul t",
+      "Ġ defined",
+      "Ġd efined",
+      "Ġdef ined",
+      "Ġdefine d",
+      "Ġdefin ed",
+      "c count",
+      "cc ount",
+      "cco unt",
+      "Ġo bt",
+      "Ġob t",
+      ". Location",
+      ".L ocation",
+      ".Lo cation",
+      "Ġ thread",
+      "Ġt hread",
+      "Ġth read",
+      "Ġthr ead",
+      "i lle",
+      "il le",
+      "ill e",
+      "Ġ instead",
+      "Ġin stead",
+      "Ġinst ead",
+      "st rong",
+      "str ong",
+      "stro ng",
+      "Ġ Sec",
+      "ĠS ec",
+      "ĠSe c",
+      "U RE",
+      "UR E",
+      "Ġ idea",
+      "Ġi dea",
+      "Ġid ea",
+      "Ġide a",
+      ". se",
+      ".s e",
+      "e my",
+      "em y",
+      "se lected",
+      "select ed",
+      "sel ected",
+      "Con nection",
+      "Conn ection",
+      "Connect ion",
+      "a cing",
+      "ac ing",
+      "aci ng",
+      "acin g",
+      "t hread",
+      "th read",
+      "thr ead",
+      ". next",
+      ".n ext",
+      ".ne xt",
+      "Ġ coll",
+      "Ġc oll",
+      "Ġco ll",
+      "Ġcol l",
+      "Ġ film",
+      "Ġf ilm",
+      "Ġfil m",
+      "Ġfi lm",
+      "is tic",
+      "ist ic",
+      "isti c",
+      "Ġ compet",
+      "Ġcom pet",
+      "Ġcomp et",
+      "Ġ conn",
+      "Ġc onn",
+      "Ġcon n",
+      "Ġco nn",
+      "th ough",
+      "Ġ compan",
+      "Ġcom pan",
+      "Ġcomp an",
+      "o cket",
+      "oc ket",
+      "ock et",
+      "Ġt each",
+      "Ġte ach",
+      "Ġtea ch",
+      "= (",
+      "Ġ phone",
+      "Ġp hone",
+      "Ġph one",
+      "Ġphon e",
+      "Ġ active",
+      "Ġact ive",
+      "Ġactiv e",
+      "7 9",
+      "de lete",
+      "del ete",
+      "1 01",
+      "10 1",
+      "t ries",
+      "tr ies",
+      "trie s",
+      "tri es",
+      "Ġ mo",
+      "Ġm o",
+      "Ġ death",
+      "Ġde ath",
+      "} );ĊĊ",
+      "});Ċ Ċ",
+      "}) ;ĊĊ",
+      "}); ĊĊ",
+      "o col",
+      "oc ol",
+      "oco l",
+      "W idget",
+      "Ġ article",
+      "Ġart icle",
+      "Ġartic le",
+      "r odu",
+      "ro du",
+      "rod u",
+      "an did",
+      "and id",
+      "andi d",
+      "Ñ ĭ",
+      "Ġ Cr",
+      "ĠC r",
+      "k a",
+      "( ):",
+      "() :",
+      "l ood",
+      "lo od",
+      "loo d",
+      "ĉ ĉĉĊ",
+      "ĉĉ ĉĊ",
+      "ĉĉĉ Ċ",
+      "Ġ almost",
+      "Ġal most",
+      "Ġalm ost",
+      "Ġ sell",
+      "Ġs ell",
+      "Ġse ll",
+      "Ġsel l",
+      "erv let",
+      "r ip",
+      "ri p",
+      "U nit",
+      "Un it",
+      "Uni t",
+      "Ġapp lic",
+      "Ġappl ic",
+      "Ġ connect",
+      "Ġcon nect",
+      "Ġconn ect",
+      "Ġ feature",
+      "Ġf eature",
+      "Ġfe ature",
+      "Ġfeat ure",
+      "Ġ via",
+      "Ġv ia",
+      "Ġvi a",
+      "' ),",
+      "') ,",
+      "Ġ lim",
+      "Ġl im",
+      "Ġli m",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "Ġ Gu",
+      "ĠG u",
+      "E ngine",
+      "Eng ine",
+      "Ġ ens",
+      "Ġe ns",
+      "Ġen s",
+      "Ġ environment",
+      "Ġen vironment",
+      "Ġenviron ment",
+      "b lock",
+      "bl ock",
+      "blo ck",
+      "H ERE",
+      "HE RE",
+      "HER E",
+      "N ULL",
+      "NU LL",
+      "g y",
+      "t ag",
+      "ta g",
+      ") ).",
+      ")) .",
+      "e xp",
+      "ex p",
+      "Ġcom pl",
+      "Ġco mpl",
+      "Ġcomp l",
+      "Ġ install",
+      "Ġinst all",
+      "Ġinstal l",
+      "Ġ complete",
+      "Ġcom plete",
+      "Ġcomp lete",
+      "Ġcomple te",
+      "Ġcomplet e",
+      "Ġcompl ete",
+      "q ueue",
+      "que ue",
+      "at ural",
+      "atur al",
+      "atura l",
+      "atu ral",
+      "Ġ general",
+      "Ġg eneral",
+      "Ġgener al",
+      "Ġgen eral",
+      "Ġgene ral",
+      "Ġgenera l",
+      "t hon",
+      "th on",
+      "Ġas ked",
+      "Ġask ed",
+      "o res",
+      "or es",
+      "ore s",
+      "( res",
+      "(r es",
+      "(re s",
+      "Ġ reserved",
+      "Ġres erved",
+      "Ġreserve d",
+      "Ġreserv ed",
+      "S P",
+      "Ġ âĢ¦",
+      "ĠâĢ ¦",
+      "Å Ĥ",
+      "Ġsign ific",
+      "O ff",
+      "Of f",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "Ġ Ag",
+      "ĠA g",
+      "Ġ Just",
+      "ĠJ ust",
+      "ĠJu st",
+      "Ġ Error",
+      "ĠE rror",
+      "ĠEr ror",
+      "ĠErr or",
+      "Ġin fl",
+      "Ġinf l",
+      "a data",
+      "ad ata",
+      "ada ta",
+      "Ġ icon",
+      "Ġi con",
+      "Ġic on",
+      "as ks",
+      "ask s",
+      "' '",
+      "_ LO",
+      "_L O",
+      "? .",
+      "a ccount",
+      "ac count",
+      "acc ount",
+      "acco unt",
+      "Ġ (*",
+      "Ġ( *",
+      "' )ĊĊ",
+      "') ĊĊ",
+      "')Ċ Ċ",
+      "r ap",
+      "ra p",
+      "_ var",
+      "_v ar",
+      "_va r",
+      "Ġ FOR",
+      "ĠF OR",
+      "ĠFO R",
+      "Ġ party",
+      "Ġp arty",
+      "Ġpart y",
+      "Ġpar ty",
+      "Ġ Your",
+      "ĠY our",
+      "ĠYou r",
+      "ĠYo ur",
+      "c at",
+      "ca t",
+      "s try",
+      "st ry",
+      "str y",
+      ". new",
+      ".n ew",
+      ".ne w",
+      "b oot",
+      "bo ot",
+      "boo t",
+      "Ġ Nov",
+      "ĠN ov",
+      "ĠNo v",
+      "Ġ vector",
+      "Ġv ector",
+      "Ġve ctor",
+      "Ġvec tor",
+      "Ġvect or",
+      "Ġ normal",
+      "Ġn ormal",
+      "Ġnor mal",
+      "Ġnorm al",
+      "Ġf urther",
+      "Ġfur ther",
+      "Re pository",
+      "8 00",
+      "80 0",
+      "Ġ database",
+      "Ġd atabase",
+      "Ġdata base",
+      "Ġdat abase",
+      "Ġdatab ase",
+      "at tle",
+      "att le",
+      "Ġ music",
+      "Ġm usic",
+      "Ġmus ic",
+      "Ġmu sic",
+      "Ġ speed",
+      "Ġs peed",
+      "Ġsp eed",
+      "Ġspe ed",
+      "Ġ doc",
+      "Ġd oc",
+      "Ġdo c",
+      "p rocess",
+      "pro cess",
+      "proc ess",
+      "IG HT",
+      "IGH T",
+      ". parse",
+      ".p arse",
+      ".par se",
+      "Ġ taking",
+      "Ġt aking",
+      "Ġta king",
+      "Ġtak ing",
+      "Ġ viol",
+      "Ġv iol",
+      "Ġvi ol",
+      "c eed",
+      "ce ed",
+      "cee d",
+      "Ġ After",
+      "ĠA fter",
+      "ĠAf ter",
+      "Ġ forward",
+      "Ġfor ward",
+      "Ġ crit",
+      "Ġc rit",
+      "Ġcr it",
+      "Ġcri t",
+      "\" />Ċ",
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+      "flo w",
+      "_ EX",
+      "_E X",
+      "( null",
+      "(n ull",
+      "Ġ Pre",
+      "ĠP re",
+      "ĠPr e",
+      "Ġ wrong",
+      "Ġw rong",
+      "Ġwr ong",
+      "inter face",
+      "Param eter",
+      "Para meter",
+      "n ers",
+      "ne rs",
+      "ner s",
+      "á »",
+      "t ure",
+      "tu re",
+      "tur e",
+      "ers ist",
+      "ount ry",
+      "oun try",
+      "Ġse ems",
+      "Ġsee ms",
+      "Ġseem s",
+      "al ance",
+      "ala nce",
+      "alan ce",
+      "d est",
+      "de st",
+      "des t",
+      "ĉ String",
+      "ĉS tring",
+      "Ġ maint",
+      "Ġm aint",
+      "Ġmain t",
+      "Ġma int",
+      "Ġmai nt",
+      "Ġ unit",
+      "Ġu nit",
+      "Ġun it",
+      "Ġuni t",
+      "act ers",
+      "ac ters",
+      "acter s",
+      "Ġ TR",
+      "ĠT R",
+      "i ful",
+      "if ul",
+      "ifu l",
+      "ex ports",
+      "export s",
+      "exp orts",
+      "expo rts",
+      "pro ject",
+      "proj ect",
+      "App lication",
+      "Ap plication",
+      "le gate",
+      "leg ate",
+      "Ġ takes",
+      "Ġt akes",
+      "Ġtake s",
+      "Ġta kes",
+      "Ġtak es",
+      "t erm",
+      "ter m",
+      "te rm",
+      "Ġ etc",
+      "Ġe tc",
+      "Ġet c",
+      "u ster",
+      "us ter",
+      "ust er",
+      "uste r",
+      "Ġ appear",
+      "Ġapp ear",
+      "Ġap pear",
+      "Ġappe ar",
+      "ad dress",
+      "add ress",
+      "addr ess",
+      "Ġf em",
+      "Ġfe m",
+      "h s",
+      "Ġ hom",
+      "Ġh om",
+      "Ġho m",
+      ", -",
+      "Ġdiff icult",
+      "Ġdiffic ult",
+      "Ġ coming",
+      "Ġc oming",
+      "Ġcom ing",
+      "Ġco ming",
+      "O pen",
+      "Op en",
+      "Ġ settings",
+      "Ġs ettings",
+      "Ġset tings",
+      "Ġsetting s",
+      "Ġsett ings",
+      "Ġ War",
+      "ĠW ar",
+      "ĠWa r",
+      "Ġ Then",
+      "ĠT hen",
+      "ĠThe n",
+      "ĠTh en",
+      "Ġ autom",
+      "Ġa utom",
+      "Ġaut om",
+      "Ġauto m",
+      "Ġau tom",
+      "Ġ Foundation",
+      "ĠF oundation",
+      "ĠFound ation",
+      "Ġ quite",
+      "Ġqu ite",
+      "Ġq uite",
+      "Ġqui te",
+      "Ġquit e",
+      "D escription",
+      "De scription",
+      "Des cription",
+      "Descri ption",
+      "Ġ blog",
+      "Ġb log",
+      "Ġbl og",
+      "Ġblo g",
+      "i qu",
+      "iq u",
+      "P S",
+      "1 10",
+      "11 0",
+      "_ field",
+      "_f ield",
+      "J son",
+      "Js on",
+      "S SION",
+      "SS ION",
+      "SSI ON",
+      "Ġ Sch",
+      "ĠS ch",
+      "ĠSc h",
+      "Ġ LO",
+      "ĠL O",
+      "Ġde scri",
+      "Ġdes cri",
+      "Ġdesc ri",
+      "Ġdescr i",
+      "Ġ everyone",
+      "Ġevery one",
+      "Ġ pretty",
+      "Ġp retty",
+      "Ġpr etty",
+      "Ġpre tty",
+      "Ġpret ty",
+      "Ġlo nger",
+      "Ġlong er",
+      "Ġlon ger",
+      "Ġ menu",
+      "Ġm enu",
+      "Ġme nu",
+      "Ġmen u",
+      "Ġ currently",
+      "Ġcurrent ly",
+      "Ġcurr ently",
+      "s ec",
+      "se c",
+      "Ġ relationship",
+      "Ġrel ationship",
+      "Ġrelations hip",
+      "Ġrelation ship",
+      "#### ############################",
+      "######## ########################",
+      "################ ################",
+      "######################## ########",
+      "############################ ####",
+      "Ġ Map",
+      "ĠM ap",
+      "ĠMa p",
+      "a set",
+      "as et",
+      "ase t",
+      "Ġ parameters",
+      "Ġparam eters",
+      "Ġparameter s",
+      "Ġparamet ers",
+      "Ġc rush",
+      "Ġcr ush",
+      "Ġcru sh",
+      "Ġcrus h",
+      "\" čĊ",
+      "IL ITY",
+      "ILI TY",
+      "ig ration",
+      "igr ation",
+      "Ġ cout",
+      "Ġc out",
+      "Ġco ut",
+      "Ġcou t",
+      "t otal",
+      "to tal",
+      "tot al",
+      "Ġ names",
+      "Ġn ames",
+      "Ġname s",
+      "Ġna mes",
+      "Ġnam es",
+      "n def",
+      "nd ef",
+      "nde f",
+      "\" );",
+      "\") ;",
+      "ri end",
+      "rie nd",
+      "rien d",
+      "yn amic",
+      "ynam ic",
+      "yna mic",
+      "Ġeff ort",
+      "Ġef fort",
+      "Ġ actual",
+      "Ġact ual",
+      "Ġac tual",
+      "Ġactu al",
+      "Ġ fields",
+      "Ġf ields",
+      "Ġfield s",
+      "Ġfie lds",
+      "O UN",
+      "OU N",
+      "t ers",
+      "ter s",
+      "te rs",
+      "2 50",
+      "25 0",
+      "Ġ fix",
+      "Ġf ix",
+      "Ġfi x",
+      "_ model",
+      "_m odel",
+      "_mode l",
+      "_mod el",
+      "_mo del",
+      "Ġ cases",
+      "Ġc ases",
+      "Ġcase s",
+      "Ġca ses",
+      "Ġcas es",
+      "C A",
+      "M y",
+      "Inter face",
+      "Ġ SE",
+      "ĠS E",
+      "1 96",
+      "19 6",
+      "] ]",
+      "a lle",
+      "al le",
+      "all e",
+      "Ġ National",
+      "ĠN ational",
+      "ĠNation al",
+      "ĠNat ional",
+      "Ġ ArrayList",
+      "ĠArray List",
+      "in line",
+      ". V",
+      "a ra",
+      "ar a",
+      "re fix",
+      "ref ix",
+      "a sc",
+      "as c",
+      "Re ader",
+      "Read er",
+      "Ġ п",
+      "ĠÐ ¿",
+      "as tic",
+      "ast ic",
+      "asti c",
+      "( ()",
+      "(( )",
+      "C l",
+      ". annotation",
+      ".annot ation",
+      ".an notation",
+      "Ġ performance",
+      "Ġper formance",
+      "Ġperform ance",
+      "Ġperforman ce",
+      "a ily",
+      "ail y",
+      "ai ly",
+      ". toString",
+      ".to String",
+      ". net",
+      ".n et",
+      ".ne t",
+      "view s",
+      "vi ews",
+      "vie ws",
+      ". end",
+      ".e nd",
+      ".en d",
+      "a yers",
+      "ay ers",
+      "ayer s",
+      "aye rs",
+      "l ate",
+      "la te",
+      "lat e",
+      "Ġ Apr",
+      "ĠA pr",
+      "ĠAp r",
+      "ed eral",
+      "eder al",
+      "ede ral",
+      "' ])",
+      "'] )",
+      ". body",
+      ".b ody",
+      ".bo dy",
+      "Ġ higher",
+      "Ġhigh er",
+      "_ fl",
+      "_f l",
+      "c r",
+      "al ert",
+      "ale rt",
+      "aler t",
+      "_ node",
+      "_n ode",
+      "_no de",
+      "Ġ Google",
+      "ĠG oogle",
+      "ĠGo ogle",
+      "Ġit self",
+      "Ġits elf",
+      "A uth",
+      "Aut h",
+      "Au th",
+      "urre ncy",
+      "urrenc y",
+      "urr ency",
+      "Ġ significant",
+      "Ġsign ificant",
+      "Ġsignific ant",
+      "Ġsignifica nt",
+      "ap pend",
+      "app end",
+      "appe nd",
+      "appen d",
+      "Ġ respect",
+      "Ġre spect",
+      "Ġres pect",
+      "Ġresp ect",
+      "s trap",
+      "st rap",
+      "str ap",
+      "stra p",
+      "Ġ una",
+      "Ġu na",
+      "Ġun a",
+      "rit eria",
+      "rite ria",
+      "riter ia",
+      "P ORT",
+      "PO RT",
+      "POR T",
+      ". apache",
+      ".ap ache",
+      "Out put",
+      "Ġ progress",
+      "Ġpro gress",
+      "Ġprog ress",
+      "Ġ mid",
+      "Ġm id",
+      "Ġmi d",
+      "Ġ Microsoft",
+      "ĠM icrosoft",
+      "ĠMicro soft",
+      "Ġ resource",
+      "Ġre source",
+      "Ġres ource",
+      "ab lish",
+      "abl ish",
+      "Ġ dim",
+      "Ġd im",
+      "Ġdi m",
+      ". load",
+      ".l oad",
+      ".lo ad",
+      ". App",
+      ".A pp",
+      ".Ap p",
+      "Ġ direction",
+      "Ġd irection",
+      "Ġdi rection",
+      "Ġdirect ion",
+      "Ġdir ection",
+      "Ġdire ction",
+      "Ġ additional",
+      "Ġadd itional",
+      "Ġaddition al",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "Ġ numbers",
+      "Ġnumber s",
+      "Ġnum bers",
+      "Ġnumb ers",
+      "Ġ companies",
+      "Ġcom panies",
+      "Ġcompan ies",
+      ". Th",
+      ".T h",
+      "Ġ sound",
+      "Ġs ound",
+      "Ġso und",
+      "Ġsou nd",
+      "user name",
+      "Ġ statement",
+      "Ġst atement",
+      "Ġstate ment",
+      "Ġstat ement",
+      "Ġsta tement",
+      "Ġ alert",
+      "Ġal ert",
+      "Ġale rt",
+      "Ġ contract",
+      "Ġcon tract",
+      "Ġcont ract",
+      "Ġcontr act",
+      "Ġcontra ct",
+      "h ome",
+      "ho me",
+      "hom e",
+      "_ length",
+      "_l ength",
+      "_len gth",
+      "_le ngth",
+      ". Component",
+      ".Com ponent",
+      ".Comp onent",
+      "e v",
+      ". Ex",
+      ".E x",
+      "ï¼ ļ",
+      "\" ;",
+      "Ġ High",
+      "ĠH igh",
+      "ĠHi gh",
+      "Ġ )ĊĊ",
+      "Ġ) ĊĊ",
+      "Ġ)Ċ Ċ",
+      "Ġ Point",
+      "ĠP oint",
+      "ĠPo int",
+      "o ph",
+      "op h",
+      "Ġ lines",
+      "Ġl ines",
+      "Ġli nes",
+      "Ġline s",
+      "Ġlin es",
+      "- >_",
+      "-> _",
+      "\" )ĊĊ",
+      "\") ĊĊ",
+      "\")Ċ Ċ",
+      "o x",
+      "ap plication",
+      "app lication",
+      "appl ication",
+      "Ġ ]Ċ",
+      "Ġ] Ċ",
+      "Ċ ĊĊĊĊĊ",
+      "ĊĊ ĊĊĊĊ",
+      "ĊĊĊĊ ĊĊ",
+      "ĊĊĊ ĊĊĊ",
+      "ĊĊĊĊĊ Ċ",
+      "1 80",
+      "18 0",
+      "Ġ soon",
+      "Ġs oon",
+      "Ġso on",
+      "Ġsoo n",
+      "ct ions",
+      "ction s",
+      "i nger",
+      "in ger",
+      "ing er",
+      "inge r",
+      "Ġ join",
+      "Ġj oin",
+      "Ġjo in",
+      "Ġ Pe",
+      "ĠP e",
+      "Ġ ë",
+      "Ġ las",
+      "Ġl as",
+      "Ġla s",
+      ". E",
+      "c ss",
+      "cs s",
+      "/ or",
+      "/o r",
+      "Ġ Start",
+      "ĠSt art",
+      "ĠStar t",
+      "ĠSta rt",
+      "Ġ TO",
+      "ĠT O",
+      "Ġ subs",
+      "Ġs ubs",
+      "Ġsu bs",
+      "Ġsub s",
+      "c onn",
+      "con n",
+      "co nn",
+      "com ponents",
+      "comp onents",
+      "component s",
+      "DE BUG",
+      "qu are",
+      "qua re",
+      "F unction",
+      "Func tion",
+      "Fun ction",
+      "en dar",
+      "end ar",
+      "enda r",
+      ". index",
+      ".in dex",
+      ".ind ex",
+      "Ġ fill",
+      "Ġf ill",
+      "Ġfil l",
+      "Ġfi ll",
+      "Ä Ļ",
+      "Ġ choose",
+      "Ġch oose",
+      "Ġcho ose",
+      "h ow",
+      "ho w",
+      "Ġ America",
+      "ĠAmeric a",
+      "ĠAmer ica",
+      "as sets",
+      "ass ets",
+      "asset s",
+      "asse ts",
+      "- -----------",
+      "-- ----------",
+      "---- --------",
+      "-------- ----",
+      "--- ---------",
+      "----- -------",
+      "---------- --",
+      "------ ------",
+      "----------- -",
+      "------- -----",
+      "--------- ---",
+      "Ġ Value",
+      "ĠV alue",
+      "ĠVal ue",
+      "ĠVa lue",
+      "Ġ office",
+      "Ġoff ice",
+      "Ġoffic e",
+      "Ġ veh",
+      "Ġv eh",
+      "Ġve h",
+      "Ġ transform",
+      "Ġtrans form",
+      "Ġtransf orm",
+      "Ġ Art",
+      "ĠA rt",
+      "ĠAr t",
+      "Ġ inde",
+      "Ġin de",
+      "Ġi nde",
+      "Ġind e",
+      "Ġ fn",
+      "Ġf n",
+      "Ġ implements",
+      "Ġim plements",
+      "Ġimp lements",
+      "Ġimplement s",
+      "Ġimpl ements",
+      "a ngo",
+      "an go",
+      "ang o",
+      "p lete",
+      "pl ete",
+      "ple te",
+      "plet e",
+      "+ \"",
+      "t mp",
+      "tm p",
+      "am ily",
+      "ami ly",
+      "amil y",
+      "Ġ hash",
+      "Ġh ash",
+      "Ġhas h",
+      "Ġha sh",
+      "m issions",
+      "miss ions",
+      "mission s",
+      "E ST",
+      "ES T",
+      "g t",
+      "Pro vider",
+      "Provid er",
+      "Provide r",
+      "Prov ider",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "Ġ flag",
+      "Ġf lag",
+      "Ġfl ag",
+      "Ġfla g",
+      "Ġpart icip",
+      "Ġpartic ip",
+      "Ġparti cip",
+      "d en",
+      "de n",
+      "Ġ Returns",
+      "ĠReturn s",
+      "Ġ note",
+      "Ġn ote",
+      "Ġnot e",
+      "Ġno te",
+      "ü r",
+      "p m",
+      "id eos",
+      "ide os",
+      "ideo s",
+      "Ġ specified",
+      "Ġs pecified",
+      "Ġspec ified",
+      "Ġ EN",
+      "ĠE N",
+      "e ster",
+      "es ter",
+      "est er",
+      "este r",
+      "o lid",
+      "ol id",
+      "oli d",
+      "Ġ upon",
+      "Ġu pon",
+      "Ġup on",
+      "( std",
+      "(s td",
+      "(st d",
+      "ĉ v",
+      "Ġ '\\",
+      "Ġ' \\",
+      "u z",
+      "Ġ vert",
+      "Ġv ert",
+      "Ġver t",
+      "Ġve rt",
+      "Ġv ict",
+      "Ġvi ct",
+      "Ġvic t",
+      "ĉ self",
+      "ĉs elf",
+      "ĉse lf",
+      "Ġ \"$",
+      "Ġ\" $",
+      "8 5",
+      ". k",
+      "Ġ groups",
+      "Ġg roups",
+      "Ġgroup s",
+      "Ġgro ups",
+      "Ġgrou ps",
+      "g ithub",
+      "git hub",
+      "l ang",
+      "la ng",
+      "lan g",
+      "Ġ mut",
+      "Ġm ut",
+      "Ġmu t",
+      "T O",
+      "Ġ ve",
+      "Ġv e",
+      "Ġ Please",
+      "ĠP lease",
+      "ĠPl ease",
+      "ĠPle ase",
+      "; ĊĊĊ",
+      ";Ċ ĊĊ",
+      ";ĊĊ Ċ",
+      "a ccess",
+      "ac cess",
+      "acc ess",
+      "Ġ {\"",
+      "Ġ{ \"",
+      "r ea",
+      "re a",
+      "Ġ risk",
+      "Ġr isk",
+      "Ġris k",
+      "Ġri sk",
+      "i cker",
+      "ic ker",
+      "ick er",
+      "og gle",
+      "ogg le",
+      "ĉ while",
+      "A NG",
+      "AN G",
+      ". send",
+      ".s end",
+      ".se nd",
+      "7 2",
+      "Ġ woman",
+      "Ġw oman",
+      "Ġwom an",
+      "Ġwo man",
+      "Ġ gets",
+      "Ġg ets",
+      "Ġget s",
+      "Ġge ts",
+      "Ġ ign",
+      "Ġi gn",
+      "Ġig n",
+      "Ġ Id",
+      "ĠI d",
+      "_ log",
+      "_l og",
+      "_lo g",
+      "O NE",
+      "ON E",
+      "Ġe vid",
+      "Ġev id",
+      "Ġ Har",
+      "ĠH ar",
+      "ĠHa r",
+      "_ sub",
+      "_s ub",
+      "_su b",
+      "Ġ endl",
+      "Ġe ndl",
+      "Ġen dl",
+      "Ġend l",
+      "Ġ included",
+      "Ġin cluded",
+      "Ġinclud ed",
+      "Ġinclude d",
+      "Ġincl uded",
+      "Ġinclu ded",
+      "( ));ĊĊ",
+      "() );ĊĊ",
+      "());Ċ Ċ",
+      "()) ;ĊĊ",
+      "()); ĊĊ",
+      "Ġ Ap",
+      "ĠA p",
+      "i gr",
+      "ig r",
+      "Ġ sem",
+      "Ġs em",
+      "Ġse m",
+      "Ġ Black",
+      "ĠB lack",
+      "ĠBl ack",
+      "d oc",
+      "do c",
+      "_ table",
+      "_t able",
+      "_tab le",
+      "_ta ble",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
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+      "Ġcaus e",
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+      "Ġcom mit",
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+      "Ġ cross",
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+      "ĉĉ ĉĉĉĉĉĉĉ",
+      "ĉĉĉĉ ĉĉĉĉĉ",
+      "ĉĉĉ ĉĉĉĉĉĉ",
+      "ĉĉĉĉĉ ĉĉĉĉ",
+      "ĉĉĉĉĉĉ ĉĉĉ",
+      "ĉĉĉĉĉĉĉĉ ĉ",
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+      "Ġrefere nce",
+      "Ġ mis",
+      "Ġm is",
+      "Ġmi s",
+      "Ġ Project",
+      "ĠPro ject",
+      "ĠProj ect",
+      "i cks",
+      "ic ks",
+      "ick s",
+      "> &",
+      "C ON",
+      "CO N",
+      "Ġre pl",
+      "Ġrep l",
+      "Ġ regular",
+      "Ġreg ular",
+      "Ġregul ar",
+      "St orage",
+      "r amework",
+      "rame work",
+      "ram ework",
+      "Ġ goal",
+      "Ġgo al",
+      "Ġ touch",
+      "Ġt ouch",
+      "Ġto uch",
+      "Ġtou ch",
+      ". widget",
+      ".w idget",
+      "Ġ built",
+      "Ġb uilt",
+      "Ġbu ilt",
+      "d es",
+      "de s",
+      "P art",
+      "Par t",
+      "Pa rt",
+      "( re",
+      "(r e",
+      "Ġ worth",
+      "Ġw orth",
+      "Ġwor th",
+      "h ib",
+      "hi b",
+      "g ame",
+      "ga me",
+      "gam e",
+      "9 1",
+      "1 92",
+      "19 2",
+      "Ġ в",
+      "ĠÐ ²",
+      "a cion",
+      "ac ion",
+      "aci on",
+      "acio n",
+      "Ġ White",
+      "ĠWh ite",
+      "ĠWhit e",
+      "( type",
+      "(t ype",
+      "(typ e",
+      "( `",
+      "8 1",
+      "Ġ natural",
+      "Ġn atural",
+      "Ġnatur al",
+      "Ġnat ural",
+      "Ġin j",
+      "Ġi nj",
+      "Ġ calcul",
+      "Ġcal cul",
+      "Ġcalc ul",
+      "Ġ April",
+      "ĠApr il",
+      "ĠAp ril",
+      ". List",
+      ".L ist",
+      "Ġ associated",
+      "Ġassoci ated",
+      "Ġassociate d",
+      "Ġassoc iated",
+      "ĉ System",
+      "ĉS ystem",
+      "~ ~",
+      "= [",
+      "Ġ storage",
+      "Ġst orage",
+      "Ġstor age",
+      "Ġsto rage",
+      "Ġ bytes",
+      "Ġby tes",
+      "Ġbyte s",
+      "Ġbyt es",
+      "Ġ travel",
+      "Ġt ravel",
+      "Ġtr avel",
+      "Ġtra vel",
+      "Ġtrav el",
+      "Ġ sou",
+      "Ġs ou",
+      "Ġso u",
+      "Ġ passed",
+      "Ġp assed",
+      "Ġpass ed",
+      "Ġpas sed",
+      "Ġpasse d",
+      "! =",
+      "a script",
+      "as cript",
+      ". open",
+      ".op en",
+      ".o pen",
+      "Ġ grid",
+      "Ġg rid",
+      "Ġgr id",
+      "Ġgri d",
+      "Ġ bus",
+      "Ġb us",
+      "Ġbu s",
+      "Ġ recogn",
+      "Ġrec ogn",
+      "Ġreco gn",
+      "A b",
+      "Ġ hon",
+      "Ġh on",
+      "Ġho n",
+      "Ġ Center",
+      "ĠC enter",
+      "ĠCent er",
+      "Ġ prec",
+      "Ġp rec",
+      "Ġpr ec",
+      "Ġpre c",
+      "b uild",
+      "bu ild",
+      "7 3",
+      "HT ML",
+      "Ġ San",
+      "ĠS an",
+      "ĠSa n",
+      "Ġ countries",
+      "Ġc ountries",
+      "Ġcount ries",
+      "Ġcoun tries",
+      "a led",
+      "al ed",
+      "ale d",
+      "t oken",
+      "to ken",
+      "tok en",
+      "k t",
+      "Ġ qual",
+      "Ġqu al",
+      "Ġq ual",
+      "Ġqua l",
+      "L ast",
+      "La st",
+      "Las t",
+      "ad ow",
+      "ado w",
+      "Ġ manufact",
+      "Ġman ufact",
+      "i dad",
+      "id ad",
+      "ida d",
+      "j ango",
+      "ja ngo",
+      "jan go",
+      "jang o",
+      "N ext",
+      "Ne xt",
+      "x f",
+      ". a",
+      "Ġ porno",
+      "Ġp orno",
+      "Ġporn o",
+      "Ġpor no",
+      "Ġ PM",
+      "ĠP M",
+      "e rve",
+      "er ve",
+      "erv e",
+      "i ting",
+      "it ing",
+      "iti ng",
+      "itin g",
+      "_ th",
+      "_t h",
+      "c i",
+      "= None",
+      "=N one",
+      "g s",
+      "Ġ login",
+      "Ġlo gin",
+      "Ġlog in",
+      "at ives",
+      "ative s",
+      "ati ves",
+      "ativ es",
+      "' ]);Ċ",
+      "'] );Ċ",
+      "']) ;Ċ",
+      "']); Ċ",
+      "Ä ħ",
+      "Ġ ill",
+      "Ġi ll",
+      "Ġil l",
+      "I A",
+      "ch ildren",
+      "child ren",
+      "D O",
+      "Ġ levels",
+      "Ġlevel s",
+      "Ġlev els",
+      "Ġleve ls",
+      "Ġ {{",
+      "Ġ{ {",
+      "Ġ looks",
+      "Ġl ooks",
+      "Ġlo oks",
+      "Ġlook s",
+      "Ġ \"#",
+      "Ġ\" #",
+      "To String",
+      "ToStr ing",
+      "Ġ necessary",
+      "Ġn ecessary",
+      "Ġnecess ary",
+      "Ġ ĠĠĊ",
+      "ĠĠ ĠĊ",
+      "ĠĠĠ Ċ",
+      "c ell",
+      "ce ll",
+      "cel l",
+      "En try",
+      "Ent ry",
+      "Entr y",
+      "Ġ '#",
+      "Ġ' #",
+      "Ġext rem",
+      "Ġextr em",
+      "Se lector",
+      "Select or",
+      "Sel ector",
+      "Sele ctor",
+      "Ġ placeholder",
+      "Ġplace holder",
+      "L oad",
+      "Lo ad",
+      "Ġ released",
+      "Ġre leased",
+      "Ġrelease d",
+      "Ġrele ased",
+      "O RE",
+      "OR E",
+      "E numer",
+      "En umer",
+      "Enum er",
+      "Ġ TV",
+      "ĠT V",
+      "S ET",
+      "SE T",
+      "in q",
+      "P ress",
+      "Pr ess",
+      "Pre ss",
+      "Pres s",
+      "Ġ Department",
+      "ĠDe partment",
+      "ĠDep artment",
+      "ĠDepart ment",
+      "Ġ properties",
+      "Ġp roperties",
+      "Ġprop erties",
+      "Ġproper ties",
+      "Ġ respond",
+      "Ġres pond",
+      "Ġresp ond",
+      "S earch",
+      "Se arch",
+      "Sea rch",
+      "a el",
+      "ae l",
+      "Ġ requ",
+      "Ġre qu",
+      "Ġr equ",
+      "Ġreq u",
+      "Ġ Book",
+      "ĠB ook",
+      "ĠBo ok",
+      "ĠBoo k",
+      "/ Ċ",
+      "( st",
+      "(s t",
+      "Ġ financial",
+      "Ġfin ancial",
+      "Ġfinanc ial",
+      "Ġfinan cial",
+      "i cket",
+      "ic ket",
+      "ick et",
+      "_ input",
+      "_in put",
+      "_inp ut",
+      "Ġ threat",
+      "Ġth reat",
+      "Ġthr eat",
+      "( in",
+      "(i n",
+      "S trip",
+      "St rip",
+      "Str ip",
+      "ì Ŀ",
+      "ç ão",
+      "7 1",
+      "Ġe vidence",
+      "Ġev idence",
+      "Ġevid ence",
+      ") );",
+      ")) ;",
+      "Ġ Bro",
+      "ĠB ro",
+      "ĠBr o",
+      "Ġ [];Ċ",
+      "Ġ[ ];Ċ",
+      "Ġ[] ;Ċ",
+      "Ġ[]; Ċ",
+      "Ġ ou",
+      "Ġo u",
+      "b uf",
+      "bu f",
+      "S cript",
+      "Scr ipt",
+      "d at",
+      "da t",
+      "Ġ rule",
+      "Ġr ule",
+      "Ġru le",
+      "# import",
+      "= \"/",
+      "=\" /",
+      "S erial",
+      "Se rial",
+      "Ser ial",
+      "Ġ starting",
+      "Ġstart ing",
+      "Ġstar ting",
+      "[ index",
+      "[in dex",
+      "[ind ex",
+      "a e",
+      "Ġ contrib",
+      "Ġcon trib",
+      "Ġcont rib",
+      "Ġcontr ib",
+      "s ession",
+      "sess ion",
+      "_ new",
+      "_n ew",
+      "_ne w",
+      "u table",
+      "ut able",
+      "uta ble",
+      "o ber",
+      "ob er",
+      "obe r",
+      "Ġ \"./",
+      "Ġ\" ./",
+      "Ġ\". /",
+      "Ġ logger",
+      "Ġlo gger",
+      "Ġlog ger",
+      "Ġrec ently",
+      "Ġrecent ly",
+      "Ġ returned",
+      "Ġre turned",
+      "Ġreturn ed",
+      "č čĊ",
+      ") ))Ċ",
+      ")) )Ċ",
+      "))) Ċ",
+      "it ions",
+      "ition s",
+      "iti ons",
+      "Ġ seek",
+      "Ġse ek",
+      "Ġsee k",
+      "Ġ communic",
+      "Ġcomm unic",
+      "Ġcommun ic",
+      "Ġ \".",
+      "Ġ\" .",
+      "Ġ username",
+      "Ġuser name",
+      "Ġusern ame",
+      "E CT",
+      "EC T",
+      "D S",
+      "Ġ otherwise",
+      "Ġother wise",
+      "Ġ German",
+      "ĠG erman",
+      "ĠGer man",
+      "ĠGerm an",
+      ". aw",
+      ".a w",
+      "Ad apter",
+      "Ada pter",
+      "ix el",
+      "ixe l",
+      "Ġ systems",
+      "Ġs ystems",
+      "Ġsystem s",
+      "Ġsys tems",
+      "Ġsyst ems",
+      "Ġ drop",
+      "Ġd rop",
+      "Ġdr op",
+      "Ġdro p",
+      "8 3",
+      "Ġ structure",
+      "Ġstruct ure",
+      "Ġ $(\"#",
+      "Ġ$ (\"#",
+      "Ġ$( \"#",
+      "Ġ$(\" #",
+      "en cies",
+      "enc ies",
+      "enci es",
+      "an ning",
+      "ann ing",
+      "anni ng",
+      "Ġ Link",
+      "ĠL ink",
+      "ĠLin k",
+      "ĠLi nk",
+      "Ġ Response",
+      "ĠRes ponse",
+      "ĠRespons e",
+      "ĠResp onse",
+      "Ġ stri",
+      "Ġs tri",
+      "Ġst ri",
+      "Ġstr i",
+      "Å ¼",
+      "Ġ DB",
+      "ĠD B",
+      "æ Ĺ",
+      "and roid",
+      "andro id",
+      "andr oid",
+      "sub mit",
+      "o tion",
+      "ot ion",
+      "oti on",
+      "9 2",
+      "( @",
+      ". test",
+      ".t est",
+      ".te st",
+      "8 2",
+      "Ċ ĊĊĊĊĊĊĊ",
+      "ĊĊ ĊĊĊĊĊĊ",
+      "ĊĊĊĊ ĊĊĊĊ",
+      "ĊĊĊ ĊĊĊĊĊ",
+      "ĊĊĊĊĊĊ ĊĊ",
+      "ĊĊĊĊĊ ĊĊĊ",
+      "ĊĊĊĊĊĊĊ Ċ",
+      "] ;čĊ",
+      "]; čĊ",
+      "Ġdirect ly",
+      "Ġ \"%",
+      "Ġ\" %",
+      "r is",
+      "ri s",
+      "el ta",
+      "elt a",
+      "A IL",
+      "AI L",
+      ") {čĊ",
+      "){ čĊ",
+      "m ine",
+      "min e",
+      "mi ne",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "( k",
+      "b on",
+      "bo n",
+      "a sic",
+      "as ic",
+      "asi c",
+      "p ite",
+      "pi te",
+      "pit e",
+      "_ __",
+      "__ _",
+      "M ax",
+      "Ma x",
+      "Ġ errors",
+      "Ġerror s",
+      "Ġerr ors",
+      "Ġer rors",
+      "Ġerro rs",
+      "Ġ While",
+      "ĠWh ile",
+      "Ġ arguments",
+      "Ġarg uments",
+      "Ġargument s",
+      "Ġ ensure",
+      "Ġen sure",
+      "Ġens ure",
+      "R ight",
+      "- based",
+      "-b ased",
+      "-base d",
+      "W eb",
+      "We b",
+      "Ġ -=",
+      "Ġ- =",
+      "Ġint rodu",
+      "Ġintr odu",
+      "Ġintro du",
+      "Ġ Inst",
+      "ĠI nst",
+      "ĠIn st",
+      "ĠIns t",
+      "ĠW ash",
+      "ĠWas h",
+      "ĠWa sh",
+      "or din",
+      "ord in",
+      "j oin",
+      "jo in",
+      "D atabase",
+      "Data base",
+      "Dat abase",
+      "Ġ grad",
+      "Ġg rad",
+      "Ġgr ad",
+      "Ġgra d",
+      "Ġ usually",
+      "Ġus ually",
+      "Ġusual ly",
+      "Ġusu ally",
+      "I TE",
+      "IT E",
+      "P rops",
+      "Pro ps",
+      "Prop s",
+      "Pr ops",
+      "? >Ċ",
+      "?> Ċ",
+      "Ġ Go",
+      "ĠG o",
+      "@ Override",
+      "R EF",
+      "RE F",
+      "Ġ ip",
+      "Ġi p",
+      "ĠA ustral",
+      "ĠAust ral",
+      "ĠAu stral",
+      "ĠAustr al",
+      "Ġ ist",
+      "Ġis t",
+      "Ġi st",
+      "View ById",
+      "Ġ serious",
+      "Ġse rious",
+      "Ġser ious",
+      "Ġseri ous",
+      "Ġ customer",
+      "Ġc ustomer",
+      "Ġcustom er",
+      "Ġcust omer",
+      ". prototype",
+      ".prot otype",
+      ".proto type",
+      "o do",
+      "od o",
+      "c or",
+      "co r",
+      "Ġ door",
+      "Ġd oor",
+      "Ġdo or",
+      "Ġ WITHOUT",
+      "ĠWITH OUT",
+      "Ġ plant",
+      "Ġp lant",
+      "Ġpl ant",
+      "Ġplan t",
+      "Ġpla nt",
+      "Ġb egan",
+      "Ġbe gan",
+      "Ġbeg an",
+      "Ġ distance",
+      "Ġd istance",
+      "Ġdist ance",
+      "Ġdi stance",
+      "( )).",
+      "() ).",
+      "()) .",
+      "Ġch ance",
+      "Ġcha nce",
+      "Ġchan ce",
+      "Ġ ord",
+      "Ġo rd",
+      "Ġor d",
+      "c ame",
+      "ca me",
+      "cam e",
+      "pr agma",
+      "Ġ protect",
+      "Ġprot ect",
+      "Ġprote ct",
+      "r agment",
+      "ra gment",
+      "rag ment",
+      "Ġ Node",
+      "ĠN ode",
+      "ĠNo de",
+      "e ning",
+      "en ing",
+      "eni ng",
+      "enin g",
+      "Ñ ĩ",
+      "Ġ route",
+      "Ġr oute",
+      "Ġro ute",
+      "Ġrout e",
+      "Ġrou te",
+      "Ġ School",
+      "ĠS chool",
+      "ĠSch ool",
+      "ĠScho ol",
+      "h i",
+      "Ġne ighb",
+      "Ġneigh b",
+      "A fter",
+      "Af ter",
+      "l icit",
+      "lic it",
+      "li cit",
+      "Ġ contr",
+      "Ġcon tr",
+      "Ġcont r",
+      "Ġ primary",
+      "Ġpr imary",
+      "Ġprim ary",
+      "Ġpri mary",
+      "Ġprima ry",
+      "A A",
+      ".Write Line",
+      "ut ils",
+      "util s",
+      "uti ls",
+      "Ġ bi",
+      "Ġb i",
+      "R ed",
+      "Re d",
+      ".L inq",
+      ". object",
+      ".o bject",
+      ".obj ect",
+      ".ob ject",
+      "Ġ leaders",
+      "Ġle aders",
+      "Ġlead ers",
+      "Ġleader s",
+      "un ities",
+      "unit ies",
+      "uni ties",
+      "Ġ gun",
+      "Ġg un",
+      "Ġgu n",
+      "o nth",
+      "on th",
+      "ont h",
+      "Ġ Dev",
+      "ĠD ev",
+      "ĠDe v",
+      "F ILE",
+      "FI LE",
+      "Ġ comments",
+      "Ġcom ments",
+      "Ġcomm ents",
+      "Ġcomment s",
+      "Ġcomme nts",
+      "_ len",
+      "_l en",
+      "_le n",
+      "ar row",
+      "arr ow",
+      "arro w",
+      "a mount",
+      "am ount",
+      "amo unt",
+      "R ange",
+      "Ra nge",
+      "s ert",
+      "se rt",
+      "ser t",
+      "Grid View",
+      "Ġ updated",
+      "Ġup dated",
+      "Ġupdate d",
+      "Ġupd ated",
+      "Ġ Mo",
+      "ĠM o",
+      "Ġ inform",
+      "Ġin form",
+      "Ġinfo rm",
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+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "i dx",
+      "id x",
+      "Ã ł",
+      "o ngo",
+      "on go",
+      "ong o",
+      "Ġ English",
+      "ĠEng lish",
+      "ĠEngl ish",
+      "< !--",
+      "<! --",
+      "Ġ computer",
+      "Ġcom puter",
+      "Ġcomp uter",
+      "Ġcomput er",
+      "Ġcompute r",
+      "E NSE",
+      "EN SE",
+      "ENS E",
+      "Ġ pas",
+      "Ġp as",
+      "Ġpa s",
+      "Ġ rais",
+      "Ġr ais",
+      "Ġra is",
+      "H ash",
+      "Has h",
+      "Ha sh",
+      "Ġ mobile",
+      "Ġm obile",
+      "Ġmob ile",
+      "Ġmobil e",
+      "Ġ owner",
+      "Ġo wner",
+      "Ġown er",
+      "Ġow ner",
+      "F IG",
+      "FI G",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "t hes",
+      "th es",
+      "the s",
+      "Ġ attr",
+      "Ġat tr",
+      "Ġatt r",
+      "w d",
+      ". time",
+      ".t ime",
+      ".tim e",
+      "a wn",
+      "aw n",
+      "Ġt reatment",
+      "Ġtreat ment",
+      "Ġ Ac",
+      "ĠA c",
+      ". View",
+      ".V iew",
+      "i mpl",
+      "im pl",
+      "imp l",
+      "m ore",
+      "mo re",
+      "mor e",
+      "p ass",
+      "pa ss",
+      "pas s",
+      "Ġ ha",
+      "Ġh a",
+      ". from",
+      ".f rom",
+      ".fr om",
+      "Ġ leading",
+      "Ġle ading",
+      "Ġlead ing",
+      "F FFF",
+      "FF FF",
+      "FFF F",
+      "( error",
+      "(e rror",
+      "(err or",
+      "(er ror",
+      ". ui",
+      ".u i",
+      "a tar",
+      "at ar",
+      "ata r",
+      "a ders",
+      "ad ers",
+      "ader s",
+      "ade rs",
+      "d ates",
+      "date s",
+      "da tes",
+      "dat es",
+      "Ġ zu",
+      "Ġz u",
+      "Ġ flow",
+      "Ġf low",
+      "Ġfl ow",
+      "Ġflo w",
+      "T arget",
+      "Tar get",
+      "Ġinv olved",
+      "Ġinvol ved",
+      "Ġinvolve d",
+      "Ġ io",
+      "Ġi o",
+      "p arse",
+      "par se",
+      "pars e",
+      "$ _",
+      "h est",
+      "he st",
+      "hes t",
+      ". int",
+      ".in t",
+      ".i nt",
+      "- item",
+      "-i tem",
+      "-it em",
+      "a sy",
+      "as y",
+      "S p",
+      "Ġ shift",
+      "Ġs hift",
+      "Ġsh ift",
+      "N T",
+      "Ġ tf",
+      "Ġt f",
+      "_ TR",
+      "_T R",
+      ". web",
+      ".w eb",
+      ".we b",
+      "C S",
+      "Ġ })",
+      "Ġ} )",
+      "Ġ eyes",
+      "Ġe yes",
+      "Ġey es",
+      "Ġeye s",
+      "1 25",
+      "12 5",
+      "1 05",
+      "10 5",
+      "_ z",
+      "' );čĊ",
+      "') ;čĊ",
+      "'); čĊ",
+      "if orn",
+      "ifo rn",
+      "Ġ {@",
+      "Ġ{ @",
+      "Ġ nice",
+      "Ġn ice",
+      "Ġni ce",
+      "Ġnic e",
+      ". list",
+      ".l ist",
+      ".li st",
+      "Ġ ĠĠĠčĊ",
+      "ĠĠ ĠĠčĊ",
+      "ĠĠĠĠ čĊ",
+      "ĠĠĠ ĠčĊ",
+      "Ġ floor",
+      "Ġf loor",
+      "Ġfl oor",
+      "Ġflo or",
+      "Ġ redirect",
+      "Ġre direct",
+      "Ġred irect",
+      "Ġ UK",
+      "ĠU K",
+      "( ['",
+      "([ '",
+      "Ġ wish",
+      "Ġw ish",
+      "Ġwis h",
+      "Ġwi sh",
+      "Ġ capt",
+      "Ġc apt",
+      "Ġcap t",
+      "Ġca pt",
+      "l egal",
+      "le gal",
+      "leg al",
+      "Ġ IO",
+      "ĠI O",
+      "Ġ stage",
+      "Ġst age",
+      "Ġsta ge",
+      "Ġstag e",
+      ". String",
+      ".S tring",
+      ".St ring",
+      ".Str ing",
+      "ĠA fr",
+      "ĠAf r",
+      "i gen",
+      "ig en",
+      "ige n",
+      "Ġ SH",
+      "ĠS H",
+      "De lete",
+      "Del ete",
+      "el ls",
+      "ell s",
+      "Ġ solid",
+      "Ġs olid",
+      "Ġso lid",
+      "Ġsol id",
+      "Ġ meeting",
+      "Ġme eting",
+      "Ġmeet ing",
+      "Ġmee ting",
+      "Ġ worked",
+      "Ġwork ed",
+      "Ġwor ked",
+      "Ġ editor",
+      "Ġe ditor",
+      "Ġed itor",
+      "Ġedit or",
+      "Ġedi tor",
+      "i ny",
+      "in y",
+      "Ð ¼",
+      "_ read",
+      "_re ad",
+      "_r ead",
+      ". Id",
+      ".I d",
+      "e ff",
+      "ef f",
+      "O ffset",
+      "Off set",
+      "c ha",
+      "ch a",
+      "U SER",
+      "US ER",
+      "USE R",
+      "ĉ ĉĠĠĠ",
+      "ĉĉ ĠĠĠ",
+      "ĉĉĠ ĠĠ",
+      "ĉĉĠĠ Ġ",
+      "i pped",
+      "ip ped",
+      "ipp ed",
+      "Ġ dict",
+      "Ġd ict",
+      "Ġdi ct",
+      "Ġdic t",
+      "Ġ Run",
+      "ĠR un",
+      "ĠRu n",
+      ". hpp",
+      ".h pp",
+      ".hp p",
+      "Ġ ang",
+      "Ġa ng",
+      "Ġan g",
+      "x ml",
+      "xm l",
+      "im ple",
+      "impl e",
+      "imp le",
+      "Ġ medical",
+      "Ġmed ical",
+      "Ġmedic al",
+      "Ġmedi cal",
+      "_ token",
+      "_t oken",
+      "_to ken",
+      "_tok en",
+      "con nect",
+      "conn ect",
+      "Ġ hour",
+      "Ġh our",
+      "Ġho ur",
+      "Ġ controller",
+      "Ġcont roller",
+      "Ġcontrol ler",
+      "Ġcontr oller",
+      "Ġcontro ller",
+      "_ message",
+      "_m essage",
+      "_mes sage",
+      "U ID",
+      "UI D",
+      "G r",
+      "an ded",
+      "and ed",
+      "ande d",
+      "_ CH",
+      "_C H",
+      "Ġ books",
+      "Ġb ooks",
+      "Ġbo oks",
+      "Ġbook s",
+      "Ġboo ks",
+      "Ġs peak",
+      "Ġspe ak",
+      "a ming",
+      "am ing",
+      "amin g",
+      "ami ng",
+      "Ġ mount",
+      "Ġm ount",
+      "Ġmo unt",
+      "Ġmou nt",
+      "Re cord",
+      "Rec ord",
+      "ĉ struct",
+      "ĉstr uct",
+      ". Web",
+      ".W eb",
+      ".We b",
+      "o ndon",
+      "on don",
+      "ond on",
+      "ondo n",
+      "Ġ //Ċ",
+      "Ġ// Ċ",
+      "Ġ/ /Ċ",
+      "Ġ felt",
+      "Ġf elt",
+      "Ġfe lt",
+      "Ġfel t",
+      ". Auto",
+      ".A uto",
+      "i dge",
+      "id ge",
+      "_ pos",
+      "_p os",
+      "_po s",
+      "P R",
+      "Ġ modern",
+      "Ġmod ern",
+      "Ġmode rn",
+      "Ġmoder n",
+      "C ollection",
+      "Col lection",
+      "Coll ection",
+      "Collect ion",
+      "_ msg",
+      "_m sg",
+      "_ms g",
+      "C D",
+      "Ġ Lo",
+      "ĠL o",
+      "Ġ seconds",
+      "Ġse conds",
+      "Ġsecond s",
+      "Ġsec onds",
+      "ib ly",
+      ". equals",
+      ".e quals",
+      ".equal s",
+      ".equ als",
+      "Ġ international",
+      "Ġint ernational",
+      "Ġinter national",
+      "Ġintern ational",
+      "# pragma",
+      "o oth",
+      "oot h",
+      "oo th",
+      "W riter",
+      "Write r",
+      "Wr iter",
+      "i ate",
+      "ia te",
+      "iat e",
+      "Ġ cele",
+      "Ġc ele",
+      "Ġce le",
+      "Ġcel e",
+      "Ġ Bit",
+      "ĠB it",
+      "ĠBi t",
+      "i vo",
+      "iv o",
+      "i very",
+      "iv ery",
+      "ive ry",
+      "iver y",
+      "r d",
+      "HE CK",
+      "Ġ cache",
+      "Ġc ache",
+      "Ġca che",
+      "Ġcach e",
+      "Ġcac he",
+      ". count",
+      ".c ount",
+      ".co unt",
+      "Ġ roll",
+      "Ġr oll",
+      "Ġro ll",
+      "Ġrol l",
+      ". Read",
+      ".R ead",
+      ".Re ad",
+      "1 08",
+      "10 8",
+      "R ED",
+      "RE D",
+      "Ġ setup",
+      "Ġset up",
+      "izont al",
+      "izon tal",
+      "model s",
+      "mod els",
+      "mode ls",
+      "ar gv",
+      "arg v",
+      "Ġconsider ed",
+      "Ġconsid ered",
+      "=\" ../",
+      "=\". ./",
+      "s ettings",
+      "set tings",
+      "setting s",
+      "sett ings",
+      "Ġ Rel",
+      "ĠR el",
+      "ĠRe l",
+      "Ġ growth",
+      "Ġg rowth",
+      "Ġgrow th",
+      "Ġ mix",
+      "Ġm ix",
+      "Ġmi x",
+      "Ġ Washington",
+      "ĠW ashington",
+      "ĠWash ington",
+      "ĠWashing ton",
+      "Ġ plt",
+      "Ġp lt",
+      "Ġpl t",
+      "Ġ IM",
+      "ĠI M",
+      "á º",
+      "Ġ turned",
+      "Ġturn ed",
+      "Ġtur ned",
+      "Ġ DateTime",
+      "ĠDate Time",
+      "Ġ Wed",
+      "ĠW ed",
+      "ĠWe d",
+      "( url",
+      "(u rl",
+      "(ur l",
+      "Ġ \"-",
+      "Ġ\" -",
+      "Ġ letter",
+      "Ġl etter",
+      "Ġlet ter",
+      "Ġlett er",
+      "A sync",
+      "As ync",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "Ġ October",
+      "ĠOct ober",
+      "ĠOc tober",
+      "_ line",
+      "_l ine",
+      "_lin e",
+      "_li ne",
+      "Ġ attention",
+      "Ġatt ention",
+      "Ġattent ion",
+      "Ġ collect",
+      "Ġc ollect",
+      "Ġcol lect",
+      "Ġcoll ect",
+      "Ġcolle ct",
+      "Ġ Hash",
+      "ĠH ash",
+      "ĠHas h",
+      "ĠHa sh",
+      "Ġ imag",
+      "Ġi mag",
+      "Ġim ag",
+      "Ġima g",
+      "T ree",
+      "Tr ee",
+      "Tre e",
+      "Ġsit uation",
+      "Ġsitu ation",
+      "e tte",
+      "et te",
+      "ett e",
+      "_ no",
+      "_n o",
+      "I VE",
+      "IV E",
+      "Ġ von",
+      "Ġv on",
+      "Ġvo n",
+      ". target",
+      ".t arget",
+      ".tar get",
+      "Ġ knowledge",
+      "Ġk nowledge",
+      "Ġknow ledge",
+      "Ġ drive",
+      "Ġd rive",
+      "Ġdr ive",
+      "Ġdriv e",
+      "Ġdri ve",
+      ". post",
+      ".p ost",
+      ".pos t",
+      ".po st",
+      "Ġ blood",
+      "Ġb lood",
+      "Ġbl ood",
+      "Ġblo od",
+      "Ġ cit",
+      "Ġc it",
+      "Ġci t",
+      "pr imary",
+      "prim ary",
+      "pri mary",
+      "Ġ configuration",
+      "Ġconfig uration",
+      "Ġconfigur ation",
+      "t ee",
+      "te e",
+      "Ġ photo",
+      "Ġph oto",
+      "Ġphot o",
+      "is ode",
+      "iso de",
+      "T race",
+      "Tr ace",
+      "Tra ce",
+      "Ġg ave",
+      "Ġga ve",
+      "Ġ shot",
+      "Ġs hot",
+      "Ġsh ot",
+      "Ġsho t",
+      "Ġ Air",
+      "ĠA ir",
+      "ĠAi r",
+      "Ġ mother",
+      "Ġm other",
+      "Ġmot her",
+      "Ġmo ther",
+      "Ġmoth er",
+      "p rice",
+      "pr ice",
+      "pri ce",
+      "Ġm orning",
+      "Ġmor ning",
+      ") ){Ċ",
+      ")) {Ċ",
+      ")){ Ċ",
+      "- x",
+      "Ġ trade",
+      "Ġt rade",
+      "Ġtr ade",
+      "Ġtrad e",
+      "Ġtra de",
+      "Ġ desc",
+      "Ġd esc",
+      "Ġde sc",
+      "Ġdes c",
+      "Ġ& &Ċ",
+      "Ġ&& Ċ",
+      "Ġ parents",
+      "Ġpar ents",
+      "Ġparent s",
+      "Ġpare nts",
+      "Ġparen ts",
+      "A pi",
+      "Ap i",
+      "å Ī",
+      "t ed",
+      "te d",
+      "w er",
+      "we r",
+      "Ġ æ",
+      "Ġ sy",
+      "Ġs y",
+      "Ġ Ke",
+      "ĠK e",
+      "P arser",
+      "Par ser",
+      "Parse r",
+      "å ħ",
+      "a ncy",
+      "an cy",
+      "anc y",
+      "Ġ piece",
+      "Ġp iece",
+      "Ġpie ce",
+      "Ġpi ece",
+      "iforn ia",
+      "to String",
+      "r an",
+      "ra n",
+      "i ding",
+      "id ing",
+      "idi ng",
+      "P TION",
+      "PT ION",
+      "c omes",
+      "com es",
+      "co mes",
+      "come s",
+      "/ lic",
+      "/l ic",
+      "/li c",
+      ". client",
+      ".c lient",
+      ".cl ient",
+      ".cli ent",
+      "E l",
+      "L ong",
+      "Lo ng",
+      "Lon g",
+      "Ġ professional",
+      "Ġprof essional",
+      "Ġprofession al",
+      "Ġprofess ional",
+      "r upt",
+      "ru pt",
+      "rup t",
+      "v a",
+      "Ġcom pletely",
+      "Ġcomplet ely",
+      "Ġcomplete ly",
+      "Ġ practice",
+      "Ġpr actice",
+      "Ġpract ice",
+      "0 02",
+      "00 2",
+      "Ġ selection",
+      "Ġs election",
+      "Ġse lection",
+      "Ġselect ion",
+      "Ġsel ection",
+      "Ġsele ction",
+      "R em",
+      "Re m",
+      "i ni",
+      "in i",
+      "Ġ cam",
+      "Ġc am",
+      "Ġca m",
+      "R EE",
+      "RE E",
+      "Ġ sites",
+      "Ġs ites",
+      "Ġsit es",
+      "Ġsite s",
+      "Ġsi tes",
+      "p a",
+      "AT US",
+      "Ñģ ÑĤ",
+      "ar rant",
+      "arr ant",
+      "arra nt",
+      "* (",
+      "_ KEY",
+      "_K EY",
+      "Ġ Button",
+      "ĠB utton",
+      "ĠBut ton",
+      "ĠButt on",
+      "Ġ Friday",
+      "ĠF riday",
+      "ĠFr iday",
+      "ĠFri day",
+      "ĠFrid ay",
+      "s equ",
+      "se qu",
+      "seq u",
+      "Ġ reader",
+      "Ġre ader",
+      "Ġread er",
+      "Ġ messages",
+      "Ġm essages",
+      "Ġmessage s",
+      "Ġmess ages",
+      "è ¯",
+      "Ġ buf",
+      "Ġb uf",
+      "Ġbu f",
+      "K e",
+      "Ġ nov",
+      "Ġn ov",
+      "Ġno v",
+      "H P",
+      "M sg",
+      "Ms g",
+      "al ign",
+      "ali gn",
+      "ar ily",
+      "ari ly",
+      "Ġ ',",
+      "Ġ' ,",
+      "_ with",
+      "_w ith",
+      "Ġ das",
+      "Ġd as",
+      "Ġda s",
+      "Ġ heard",
+      "Ġhe ard",
+      "Ġhear d",
+      "at omic",
+      "ato mic",
+      "atom ic",
+      "r ial",
+      "ri al",
+      "ria l",
+      ") [",
+      "Ġd ise",
+      "Ġdis e",
+      "Ġdi se",
+      "@ end",
+      "Ġ gold",
+      "Ġg old",
+      "Ġgo ld",
+      "Ġgol d",
+      "Ġ fair",
+      "Ġf air",
+      "Ġfa ir",
+      "Ġ sales",
+      "Ġs ales",
+      "Ġsa les",
+      "Ġsal es",
+      "Ġsale s",
+      ". Button",
+      ".B utton",
+      ".But ton",
+      "str ict",
+      "stri ct",
+      "s ave",
+      "sa ve",
+      "sav e",
+      "Ġ measure",
+      "Ġme asure",
+      "Ġmeas ure",
+      "Ġ \"+",
+      "Ġ\" +",
+      "e cause",
+      "ec ause",
+      "eca use",
+      "View Controller",
+      "Ġ Table",
+      "ĠT able",
+      "ĠTab le",
+      "ĠTa ble",
+      ". param",
+      ".p aram",
+      ".par am",
+      ".pa ram",
+      "Ġd ecided",
+      "Ġdec ided",
+      "Ġdecide d",
+      "Ġdecid ed",
+      "( ((",
+      "(( (",
+      "IN FO",
+      "INF O",
+      "Ġop portunity",
+      "Ġopport unity",
+      "Ġopportun ity",
+      "T e",
+      "IC ENSE",
+      "ICE NSE",
+      "cc ording",
+      "k i",
+      "Ġ UN",
+      "ĠU N",
+      "Ġ contain",
+      "Ġcon tain",
+      "Ġcont ain",
+      "Ġconta in",
+      "Ġ manager",
+      "Ġm anager",
+      "Ġman ager",
+      "Ġmanage r",
+      "Ġmana ger",
+      "Ġ pain",
+      "Ġp ain",
+      "Ġpa in",
+      "Ġpai n",
+      "Ġ Fire",
+      "ĠF ire",
+      "ĠFi re",
+      "ĠFir e",
+      "r ome",
+      "ro me",
+      "rom e",
+      "Ġ plans",
+      "Ġpl ans",
+      "Ġplan s",
+      "Ġpla ns",
+      "F ound",
+      "Fo und",
+      "l ay",
+      "la y",
+      "Ġ December",
+      "ĠDec ember",
+      "Ġin flu",
+      "Ġinf lu",
+      "Ġinfl u",
+      "Ã º",
+      "r ench",
+      "ren ch",
+      "renc h",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "a zing",
+      "az ing",
+      "azi ng",
+      "b rief",
+      "br ief",
+      "c all",
+      "ca ll",
+      "cal l",
+      "w ood",
+      "wo od",
+      "woo d",
+      "Ġ loaded",
+      "Ġlo aded",
+      "Ġload ed",
+      "Ġloa ded",
+      "Ġ grand",
+      "Ġg rand",
+      "Ġgr and",
+      "Ġgran d",
+      "Ġgra nd",
+      "/ f",
+      "i mp",
+      "im p",
+      "_ U",
+      "1 27",
+      "12 7",
+      "S TR",
+      "ST R",
+      "âĢ ¢",
+      "Ġ credit",
+      "Ġc redit",
+      "Ġcr edit",
+      "Ġcre dit",
+      "Ġcred it",
+      ". Color",
+      ".C olor",
+      ".Co lor",
+      ".Col or",
+      "or ge",
+      "org e",
+      "Q UEST",
+      "QUE ST",
+      "QU EST",
+      "Ġ difference",
+      "Ġd ifference",
+      "Ġdif ference",
+      "Ġdiffer ence",
+      "Ġdiff erence",
+      "Ġ PC",
+      "ĠP C",
+      "w args",
+      "war gs",
+      "Ġ pub",
+      "Ġp ub",
+      "Ġpu b",
+      "un day",
+      "und ay",
+      "unda y",
+      "Ġ fra",
+      "Ġf ra",
+      "Ġfr a",
+      ". max",
+      ".m ax",
+      ".ma x",
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+      "Ġtri ed",
+      "Ġtrie d",
+      "an nels",
+      "ann els",
+      "annel s",
+      "anne ls",
+      "s end",
+      "se nd",
+      "sen d",
+      "Ġ reports",
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+      "Ġreport s",
+      "Ġrep orts",
+      "Ġrepo rts",
+      "Ġ adult",
+      "Ġad ult",
+      "Ġadul t",
+      "ä º",
+      "Ġcons ist",
+      "Ġ Street",
+      "ĠSt reet",
+      "ĠStre et",
+      "Ġ Program",
+      "ĠP rogram",
+      "ĠPro gram",
+      "ĠPr ogram",
+      "S QL",
+      "SQ L",
+      "M atrix",
+      "Mat rix",
+      "oun cil",
+      "ounc il",
+      "- A",
+      "ĉ w",
+      "Ġ whose",
+      "Ġwh ose",
+      "Ġwho se",
+      "Ġre lig",
+      "Ġr elig",
+      "Ġrel ig",
+      "Ġreli g",
+      "Ġ Sex",
+      "ĠS ex",
+      "ĠSe x",
+      "Ġg ives",
+      "Ġgive s",
+      "Ġgi ves",
+      "n one",
+      "no ne",
+      "non e",
+      ". message",
+      ".m essage",
+      "( G",
+      ".a wt",
+      ".aw t",
+      "- right",
+      "-r ight",
+      "Ġ November",
+      "ĠNov ember",
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+      "ell ig",
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+      "36 0",
+      "ut ive",
+      "uti ve",
+      "Ä ĥ",
+      "o vern",
+      "ov ern",
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+      "over n",
+      "Ġe asily",
+      "Ġeas ily",
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+      "Ġide as",
+      "Ġidea s",
+      "1 04",
+      "10 4",
+      "Ġ н",
+      "ĠÐ ½",
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+      "/c ss",
+      "/cs s",
+      "l ying",
+      "ly ing",
+      "e lle",
+      "el le",
+      "ell e",
+      "C an",
+      "Ca n",
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+      "_col or",
+      "_co lor",
+      "о в",
+      "оР²",
+      "Ġ pair",
+      "Ġp air",
+      "Ġpa ir",
+      "Ġpai r",
+      "n gth",
+      "ng th",
+      "Ġ split",
+      "Ġs plit",
+      "Ġsp lit",
+      "Ġspl it",
+      "1 40",
+      "14 0",
+      "d rop",
+      "dr op",
+      "dro p",
+      "ar ty",
+      "art y",
+      "o na",
+      "on a",
+      "Ġ capital",
+      "Ġcap ital",
+      "Ġcapita l",
+      "Ġcapit al",
+      "Ġ hear",
+      "Ġh ear",
+      "Ġhe ar",
+      "Ġ exists",
+      "Ġex ists",
+      "Ġexist s",
+      "ĉ log",
+      "ĉl og",
+      "e mo",
+      "em o",
+      "R un",
+      "Ru n",
+      "o i",
+      "Ġ parser",
+      "Ġp arser",
+      "Ġpar ser",
+      "Ġparse r",
+      "Ġpars er",
+      "Ġ Method",
+      "ĠM ethod",
+      "ĠMet hod",
+      "ĠMeth od",
+      "Ġ education",
+      "Ġe ducation",
+      "Ġeduc ation",
+      "Ġedu cation",
+      "[ k",
+      "Ġ library",
+      "Ġl ibrary",
+      "Ġlib rary",
+      "Ġlibr ary",
+      "> \";Ċ",
+      ">\" ;Ċ",
+      ">\"; Ċ",
+      "_ UN",
+      "_U N",
+      "ĉ std",
+      "ĉs td",
+      "ĉst d",
+      "o ded",
+      "od ed",
+      "ode d",
+      "Ġ calls",
+      "Ġc alls",
+      "Ġcall s",
+      "Ġcal ls",
+      "h ere",
+      "he re",
+      "her e",
+      "R el",
+      "Re l",
+      "Ġ brand",
+      "Ġb rand",
+      "Ġbr and",
+      "Ġbra nd",
+      "Ġbran d",
+      "back ground",
+      "g a",
+      "_ address",
+      "_add ress",
+      "_addr ess",
+      "_ad dress",
+      "_ params",
+      "_param s",
+      "_par ams",
+      "_para ms",
+      "_pa rams",
+      "C ategory",
+      "1 03",
+      "10 3",
+      "Ġ India",
+      "ĠIn dia",
+      "ĠInd ia",
+      "ĠIndi a",
+      "_ event",
+      "_e vent",
+      "_ev ent",
+      "_even t",
+      "Ġ ing",
+      "Ġin g",
+      "Ġi ng",
+      "R ender",
+      "Re nder",
+      "Ren der",
+      ". cl",
+      ".c l",
+      "um py",
+      "ump y",
+      "Ġ pet",
+      "Ġp et",
+      "Ġpe t",
+      "F C",
+      "Ġ Ant",
+      "ĠA nt",
+      "ĠAn t",
+      "E xt",
+      "Ex t",
+      "Ġ charge",
+      "Ġch arge",
+      "Ġchar ge",
+      "Ġcharg e",
+      "e ned",
+      "en ed",
+      "ene d",
+      "g rad",
+      "gr ad",
+      "gra d",
+      "E O",
+      "Ġ depend",
+      "Ġd epend",
+      "Ġde pend",
+      "Ġdep end",
+      "Ġ .ĊĊ",
+      "Ġ. ĊĊ",
+      "Ġ.Ċ Ċ",
+      "f rame",
+      "fr ame",
+      "fra me",
+      "fram e",
+      "Ġ df",
+      "Ġd f",
+      "Ġ huge",
+      "Ġh uge",
+      "Ġhug e",
+      "Ġhu ge",
+      "Ġ PART",
+      "ĠP ART",
+      "ĠPA RT",
+      "ĠPAR T",
+      "e ds",
+      "ed s",
+      "; ;",
+      "Ġ AM",
+      "ĠA M",
+      "Ġ basic",
+      "Ġb asic",
+      "Ġbas ic",
+      "Ġba sic",
+      "Ġ Let",
+      "ĠL et",
+      "ĠLe t",
+      "l ich",
+      "lic h",
+      "li ch",
+      "Ġ arm",
+      "Ġa rm",
+      "Ġar m",
+      "Ġ star",
+      "Ġs tar",
+      "Ġst ar",
+      "Ġsta r",
+      "Ġf ederal",
+      "Ġfed eral",
+      "Ġfeder al",
+      "W ork",
+      "Wo rk",
+      "Ġ carry",
+      "Ġc arry",
+      "Ġcar ry",
+      "Ġcarr y",
+      "Ġ Israel",
+      "ĠIs rael",
+      "( obj",
+      "(o bj",
+      "(ob j",
+      "= {{",
+      "={ {",
+      "Ġ saved",
+      "Ġs aved",
+      "Ġsa ved",
+      "Ġsave d",
+      "Ġsav ed",
+      "Ġ syn",
+      "Ġs yn",
+      "Ġsy n",
+      "Ġ constant",
+      "Ġcon stant",
+      "Ġconst ant",
+      "Ġcons tant",
+      "V ENT",
+      "VE NT",
+      "VEN T",
+      "Ġ positive",
+      "Ġpos itive",
+      "Ġposit ive",
+      "Ġ conduct",
+      "Ġcon duct",
+      "Ġcond uct",
+      "Ġconduc t",
+      "Ġcondu ct",
+      "Ġ skin",
+      "Ġs kin",
+      "Ġsk in",
+      "Ġski n",
+      "Ġear lier",
+      "Ġ layout",
+      "Ġl ayout",
+      "Ġlay out",
+      "Ġ IP",
+      "ĠI P",
+      "O UR",
+      "OU R",
+      "Ġ tim",
+      "Ġt im",
+      "Ġti m",
+      "style sheet",
+      "styles heet",
+      "_ cl",
+      "_c l",
+      "Ġ Card",
+      "ĠC ard",
+      "ĠCar d",
+      "ĠCa rd",
+      "++ ){Ċ",
+      "++) {Ċ",
+      "++){ Ċ",
+      "Ġtem per",
+      "Ġtemp er",
+      "Ġ David",
+      "ĠD avid",
+      "ĠDav id",
+      "ĠDa vid",
+      "ĉ try",
+      "ĉt ry",
+      "ĉtr y",
+      ". dart",
+      ".d art",
+      ".da rt",
+      "Ġw ants",
+      "Ġwant s",
+      "Ġwa nts",
+      "Ġwan ts",
+      "Ġ picture",
+      "Ġp icture",
+      "Ġpic ture",
+      "Ġpict ure",
+      "Ġ videos",
+      "Ġv ideos",
+      "Ġvideo s",
+      "Ġvid eos",
+      "Ġvide os",
+      "Ġ Comm",
+      "ĠC omm",
+      "ĠCom m",
+      "ĠCo mm",
+      "is ions",
+      "ision s",
+      "isi ons",
+      "_ MAX",
+      "_M AX",
+      "_MA X",
+      "M apping",
+      "Map ping",
+      "Ma pping",
+      "- content",
+      "-c ontent",
+      "-con tent",
+      "-cont ent",
+      "Ġ Ear",
+      "ĠE ar",
+      "ĠEa r",
+      "- de",
+      "-d e",
+      "Ġp rem",
+      "Ġpr em",
+      "Ġpre m",
+      "b ruary",
+      "br uary",
+      "bru ary",
+      "bruar y",
+      "Ġ components",
+      "Ġcom ponents",
+      "Ġcomp onents",
+      "Ġcomponent s",
+      "Ġthrough out",
+      "Ġ pull",
+      "Ġp ull",
+      "Ġpul l",
+      "Ġpu ll",
+      "Ġ pages",
+      "Ġp ages",
+      "Ġpage s",
+      "Ġpa ges",
+      "Ġpag es",
+      "e nte",
+      "en te",
+      "ent e",
+      "res pond",
+      "resp ond",
+      "Ġ gas",
+      "Ġg as",
+      "Ġga s",
+      "cript or",
+      "Ġ edge",
+      "Ġe dge",
+      "Ġed ge",
+      "Ġ bound",
+      "Ġb ound",
+      "Ġbo und",
+      "Ġbou nd",
+      "A CT",
+      "AC T",
+      "* *****",
+      "** ****",
+      "**** **",
+      "*** ***",
+      "***** *",
+      "Ġ creating",
+      "Ġc reating",
+      "Ġcr eating",
+      "Ġcre ating",
+      "Ġcreat ing",
+      "Ġcrea ting",
+      "Ġ CH",
+      "ĠC H",
+      "Ġ nullptr",
+      "Ġnull ptr",
+      "B r",
+      "+ '",
+      ". co",
+      ".c o",
+      "> ::",
+      ">: :",
+      "Ġ learning",
+      "Ġl earning",
+      "Ġle arning",
+      "Ġlearn ing",
+      "Ġlear ning",
+      ". Length",
+      ".L ength",
+      ".Le ngth",
+      ".Len gth",
+      "_ SH",
+      "_S H",
+      "Ġ patients",
+      "Ġpat ients",
+      "Ġpatient s",
+      "A IN",
+      "AI N",
+      "Ġ kids",
+      "Ġk ids",
+      "Ġkid s",
+      "Ġki ds",
+      "Ġ comfort",
+      "Ġcom fort",
+      "Ġ shown",
+      "Ġsh own",
+      "Ġshow n",
+      "Ġsho wn",
+      "ug ins",
+      "ugin s",
+      "ugi ns",
+      "Ġ Back",
+      "ĠB ack",
+      "ĠBa ck",
+      "ĠBac k",
+      "e lla",
+      "el la",
+      "ell a",
+      "_ CL",
+      "_C L",
+      "Ġ lat",
+      "Ġl at",
+      "Ġla t",
+      "Ġ dispatch",
+      "Ġdis patch",
+      "Ġdisp atch",
+      "Ġ classes",
+      "Ġc lasses",
+      "Ġclass es",
+      "Ġcl asses",
+      "Ġclasse s",
+      "Ġclas ses",
+      ". at",
+      ".a t",
+      ". begin",
+      ".b egin",
+      ".be gin",
+      "Ġ successful",
+      "Ġsuccess ful",
+      "b an",
+      "ba n",
+      "Ġob tain",
+      "Ġobt ain",
+      "Ġ Sl",
+      "ĠS l",
+      "Ġ lack",
+      "Ġl ack",
+      "Ġla ck",
+      "Ġlac k",
+      "it erator",
+      "iter ator",
+      "T hread",
+      "Th read",
+      "Thr ead",
+      "( size",
+      "(s ize",
+      "(si ze",
+      "Ġ none",
+      "Ġn one",
+      "Ġno ne",
+      "Ġnon e",
+      ". has",
+      ".h as",
+      "_ X",
+      "s ort",
+      "so rt",
+      "n ap",
+      "na p",
+      "p et",
+      "pe t",
+      "b in",
+      "bi n",
+      "7 00",
+      "70 0",
+      "Ġ Canada",
+      "ĠCan ada",
+      "T hey",
+      "The y",
+      "Th ey",
+      "Ġd ans",
+      "Ġda ns",
+      "Ġdan s",
+      "Ġ Mat",
+      "ĠM at",
+      "ĠMa t",
+      "< td",
+      "<t d",
+      "Ġ hair",
+      "Ġh air",
+      "Ġha ir",
+      "Ġhai r",
+      "Ġ' ',Ċ",
+      "Ġ'' ,Ċ",
+      "Ġ'', Ċ",
+      "Ġ cu",
+      "Ġc u",
+      "Ġ laws",
+      "Ġl aws",
+      "Ġla ws",
+      "Ġlaw s",
+      "l eted",
+      "le ted",
+      "let ed",
+      "lete d",
+      "p ed",
+      "pe d",
+      "Ġ pow",
+      "Ġp ow",
+      "Ġpo w",
+      "Ġk new",
+      "Ġkn ew",
+      "Ġkne w",
+      "_ COM",
+      "_C OM",
+      "_CO M",
+      "_ ,",
+      "Ġ Mag",
+      "ĠM ag",
+      "ĠMa g",
+      "id ents",
+      "ide nts",
+      "ident s",
+      "iden ts",
+      "( req",
+      "(r eq",
+      "(re q",
+      "Ġ ),",
+      "Ġ) ,",
+      "- center",
+      "-c enter",
+      "-cent er",
+      "1 90",
+      "19 0",
+      "Ġ wide",
+      "Ġw ide",
+      "Ġwid e",
+      "Ġwi de",
+      "Ġ Author",
+      "ĠA uthor",
+      "ĠAuth or",
+      "ĠAut hor",
+      "st ants",
+      "stant s",
+      "sta nts",
+      "stan ts",
+      "Ġ jobs",
+      "Ġj obs",
+      "Ġjob s",
+      "Ġjo bs",
+      "Ġ math",
+      "Ġm ath",
+      "Ġmat h",
+      "Ġma th",
+      "e times",
+      "et imes",
+      "etime s",
+      "eti mes",
+      "etim es",
+      "Bo olean",
+      "Bool ean",
+      "Ġ scope",
+      "Ġs cope",
+      "Ġsc ope",
+      "Ġsco pe",
+      "Ġscop e",
+      "_ is",
+      "_i s",
+      "Ġme as",
+      "Ġ keys",
+      "Ġkey s",
+      "Ġke ys",
+      "e lay",
+      "el ay",
+      "ela y",
+      "Ġex actly",
+      "Ġexact ly",
+      "' =>'",
+      "'=> '",
+      "'= >'",
+      "Ġ Paul",
+      "ĠP aul",
+      "ĠPa ul",
+      "m as",
+      "ma s",
+      "ĉ print",
+      "ĉp rint",
+      "ĉpr int",
+      "( len",
+      "(l en",
+      "(le n",
+      "f d",
+      "Ġ );",
+      "Ġ) ;",
+      ". Event",
+      ".E vent",
+      "q li",
+      "ql i",
+      "i rit",
+      "ir it",
+      "iri t",
+      "ie lds",
+      "ield s",
+      "iel ds",
+      "o man",
+      "om an",
+      "oma n",
+      "Ġ Top",
+      "ĠT op",
+      "ĠTo p",
+      "Ġ vote",
+      "Ġv ote",
+      "Ġvo te",
+      "Ġvot e",
+      "Ġ mask",
+      "Ġm ask",
+      "Ġma sk",
+      "Ġmas k",
+      "Ġ theme",
+      "Ġth eme",
+      "Ġthe me",
+      "Ġthem e",
+      "- Ċ",
+      "Ġ props",
+      "Ġp rops",
+      "Ġpro ps",
+      "Ġpr ops",
+      "Ġprop s",
+      "Ġ fine",
+      "Ġf ine",
+      "Ġfin e",
+      "Ġfi ne",
+      "Ġ writer",
+      "Ġw riter",
+      "Ġwrit er",
+      "Ġwr iter",
+      "Ġwrite r",
+      "_ offset",
+      "_off set",
+      "_o ffset",
+      "c ar",
+      "ca r",
+      "Ġ altern",
+      "Ġal tern",
+      "Ġalt ern",
+      "Ġalter n",
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+      "> <?",
+      ">< ?",
+      "Ġ pod",
+      "Ġp od",
+      "Ġpo d",
+      "- lg",
+      "-l g",
+      "âĢĿ ĊĊ",
+      "âĢĿĊ Ċ",
+      "Ġ describe",
+      "Ġde scribe",
+      "Ġdes cribe",
+      "Ġdescri be",
+      "Ġdescr ibe",
+      "Ġ European",
+      "ĠE uropean",
+      "ĠEurope an",
+      "ĠEurop ean",
+      "- sh",
+      "-s h",
+      "ĠPUR POSE",
+      "O RY",
+      "OR Y",
+      "Ġcon vers",
+      "Ġconv ers",
+      "Ġconver s",
+      "Ġ Illuminate",
+      "ĠI lluminate",
+      "ĠIllum inate",
+      "Ġ Av",
+      "ĠA v",
+      "( ch",
+      "(c h",
+      "? \"",
+      "c hen",
+      "ch en",
+      "che n",
+      "i ma",
+      "im a",
+      "D ocument",
+      "Doc ument",
+      "Ġ operations",
+      "Ġoper ations",
+      "Ġoperation s",
+      "w in",
+      "wi n",
+      "ĉ function",
+      "ĉf unction",
+      "ĉfunc tion",
+      "ĉfun ction",
+      ". Image",
+      ".I mage",
+      ".Im age",
+      "Ġs cen",
+      "Ġsc en",
+      "Ġsce n",
+      "/ h",
+      "Ġ SC",
+      "ĠS C",
+      "Ġ explo",
+      "Ġexp lo",
+      "Ġexpl o",
+      ": %",
+      "/ **čĊ",
+      "/* *čĊ",
+      "/** čĊ",
+      "N AME",
+      "NA ME",
+      "æ Ī",
+      "( var",
+      "(v ar",
+      "(va r",
+      "Ġ director",
+      "Ġd irector",
+      "Ġdirect or",
+      "Ġdir ector",
+      "Ġdire ctor",
+      "O NG",
+      "ON G",
+      "Ġ yield",
+      "Ġy ield",
+      "Ġyi eld",
+      "Ġfe et",
+      "Ġfee t",
+      "Ġ Search",
+      "ĠS earch",
+      "ĠSe arch",
+      "ĠSea rch",
+      "Ġ Il",
+      "ĠI l",
+      "Ġrest aur",
+      "Ġresta ur",
+      "Ġrestau r",
+      "d uc",
+      "du c",
+      "Ġ integer",
+      "Ġint eger",
+      "Ġinteg er",
+      "Ġinte ger",
+      "1 07",
+      "10 7",
+      "Ġ' ';Ċ",
+      "Ġ'' ;Ċ",
+      "Ġ''; Ċ",
+      "Ġhigh ly",
+      "check ed",
+      "ĠPART IC",
+      "ER CHANT",
+      "ï¼ ī",
+      "Ġ optim",
+      "Ġop tim",
+      "Ġopt im",
+      "Q ueue",
+      "Que ue",
+      "Ġ LI",
+      "ĠL I",
+      "it ation",
+      "ita tion",
+      "itat ion",
+      "Ġ transport",
+      "Ġtrans port",
+      "Ġtran sport",
+      "iss ion",
+      "f ill",
+      "fi ll",
+      "fil l",
+      "us ion",
+      "usi on",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĉ bool",
+      "ĉb ool",
+      "- th",
+      "-t h",
+      "u pt",
+      "up t",
+      "Ġ essential",
+      "Ġess ential",
+      "an ted",
+      "ant ed",
+      "ante d",
+      "Ġbenef its",
+      "Ġbenefit s",
+      "Ġbene fits",
+      "ĉ S",
+      "' ;čĊ",
+      "'; čĊ",
+      "i ki",
+      "ik i",
+      "Ġ girls",
+      "Ġgirl s",
+      "Ġgir ls",
+      "i ced",
+      "ic ed",
+      "ice d",
+      "b uffer",
+      "buf fer",
+      "bu ffer",
+      "buff er",
+      "] +",
+      "Ġ socket",
+      "Ġs ocket",
+      "Ġso cket",
+      "Ġsock et",
+      "Ġsoc ket",
+      "Ġ prices",
+      "Ġp rices",
+      "Ġpr ices",
+      "Ġprice s",
+      "Ġpri ces",
+      "Ġ Fre",
+      "ĠF re",
+      "ĠFr e",
+      "Ġ sat",
+      "Ġs at",
+      "Ġsa t",
+      "Ġ wood",
+      "Ġw ood",
+      "Ġwo od",
+      "Ġwoo d",
+      "Menu Item",
+      "A RG",
+      "AR G",
+      "Ġ Admin",
+      "ĠAd min",
+      "O WN",
+      "OW N",
+      "d k",
+      "Ġ reset",
+      "Ġre set",
+      "Ġres et",
+      "Ġ forms",
+      "Ġfor ms",
+      "Ġform s",
+      "Ġfo rms",
+      "Ġ и",
+      "ĠÐ ¸",
+      "æ ĸ",
+      "Ġ Tuesday",
+      "ĠT uesday",
+      "ĠTues day",
+      "1 09",
+      "10 9",
+      "Ġ Initialized",
+      "ĠInitial ized",
+      "ĠInitialize d",
+      "ĠInit ialized",
+      "_ train",
+      "_t rain",
+      "_tr ain",
+      "_tra in",
+      "o rary",
+      "or ary",
+      "ora ry",
+      "ate gor",
+      "ateg or",
+      "atego r",
+      "Ġ dt",
+      "Ġd t",
+      "T otal",
+      "To tal",
+      "Tot al",
+      "con struct",
+      "i lies",
+      "il ies",
+      "ili es",
+      "Ġgu ys",
+      "Ġguy s",
+      "е ÑĢ",
+      "Ġ instruction",
+      "Ġin struction",
+      "Ġinstr uction",
+      "Ġinstruct ion",
+      "0 10",
+      "01 0",
+      "y led",
+      "yle d",
+      "yl ed",
+      "Ġ internet",
+      "Ġin ternet",
+      "Ġint ernet",
+      "Ġinter net",
+      "Ġintern et",
+      "et adata",
+      "eta data",
+      "a dy",
+      "ad y",
+      "f aces",
+      "face s",
+      "fa ces",
+      "fac es",
+      "j ection",
+      "ject ion",
+      "je ction",
+      "jec tion",
+      "Ġ Jack",
+      "ĠJ ack",
+      "ĠJac k",
+      "ĠJa ck",
+      "Ġ rect",
+      "Ġre ct",
+      "Ġr ect",
+      "Ġrec t",
+      "[ -",
+      "Ġ Leg",
+      "ĠL eg",
+      "ĠLe g",
+      "Ġ devices",
+      "Ġdev ices",
+      "Ġdevice s",
+      "O C",
+      "Ġ *čĊ",
+      "Ġ* čĊ",
+      "o ration",
+      "or ation",
+      "ora tion",
+      "er tain",
+      "ert ain",
+      "erta in",
+      "Ġ guard",
+      "Ġg uard",
+      "Ġgu ard",
+      "Ġguar d",
+      "o stream",
+      "ost ream",
+      "Ġ enum",
+      "Ġe num",
+      "Ġen um",
+      ". layout",
+      ".l ayout",
+      "Ġ \";Ċ",
+      "Ġ\" ;Ċ",
+      "Ġ\"; Ċ",
+      "v oke",
+      "vo ke",
+      "Ġ Ok",
+      "ĠO k",
+      "H ome",
+      "Ho me",
+      "Hom e",
+      "( tr",
+      "(t r",
+      "E TH",
+      "ET H",
+      "Ġ delay",
+      "Ġd elay",
+      "Ġde lay",
+      "Ġdel ay",
+      "Ġdela y",
+      "Ġ purchase",
+      "Ġp urchase",
+      "Ġpurch ase",
+      "d c",
+      "Ġ aren",
+      "Ġa ren",
+      "Ġare n",
+      "Ġar en",
+      "_ once",
+      "_on ce",
+      "_o nce",
+      "ĉ ĉĉĉĊ",
+      "ĉĉ ĉĉĊ",
+      "ĉĉĉĉ Ċ",
+      "ĉĉĉ ĉĊ",
+      "r or",
+      "ro r",
+      "d raw",
+      "dr aw",
+      "dra w",
+      ". run",
+      ".r un",
+      ".ru n",
+      "( model",
+      "(m odel",
+      "(mod el",
+      "(mode l",
+      "Time out",
+      "l ik",
+      "li k",
+      "Ġ Arg",
+      "ĠA rg",
+      "ĠAr g",
+      ". en",
+      ".e n",
+      "Ġ fish",
+      "Ġf ish",
+      "Ġfi sh",
+      "Ġfis h",
+      "c py",
+      "cp y",
+      "_ fe",
+      "_f e",
+      "ERCHANT ABILITY",
+      "( X",
+      "_ output",
+      "_out put",
+      "? ?",
+      "Ġ jo",
+      "Ġj o",
+      "and ard",
+      "anda rd",
+      "Ġ doll",
+      "Ġd oll",
+      "Ġdo ll",
+      "Ġdol l",
+      "er rors",
+      "err ors",
+      "error s",
+      "erro rs",
+      "_ base",
+      "_b ase",
+      "ĠPARTIC ULAR",
+      "Ġ leader",
+      "Ġle ader",
+      "Ġlead er",
+      "Ġcom par",
+      "Ġco mpar",
+      "Ġcomp ar",
+      "Ġd oub",
+      "Ġdo ub",
+      "Ġdou b",
+      "Ġ Vis",
+      "ĠV is",
+      "ĠVi s",
+      "Stack Trace",
+      "- C",
+      "ĠSt ud",
+      "stit ute",
+      "M ore",
+      "Mo re",
+      "Mor e",
+      "Ġ Description",
+      "ĠD escription",
+      "ĠDe scription",
+      "ĠDes cription",
+      "W ARE",
+      "WA RE",
+      "WAR E",
+      "a ds",
+      "ad s",
+      "Ġ к",
+      "ĠÐ º",
+      "b ind",
+      "bin d",
+      "bi nd",
+      "= self",
+      "=s elf",
+      "e mploy",
+      "em ploy",
+      "emp loy",
+      "empl oy",
+      "emplo y",
+      "[ n",
+      ". all",
+      ".a ll",
+      ".al l",
+      "- B",
+      "& &",
+      "a lm",
+      "al m",
+      "Ġ culture",
+      "Ġc ulture",
+      "Ġcult ure",
+      "Ġcul ture",
+      "h ouse",
+      "ho use",
+      "hou se",
+      "Ġs uffer",
+      "Ġsu ffer",
+      "Ġsuff er",
+      "Ġsuf fer",
+      "Ġ '%",
+      "Ġ' %",
+      "Ġ straight",
+      "Ġstr aight",
+      "Ġstra ight",
+      "Ġ Star",
+      "ĠS tar",
+      "ĠSt ar",
+      "ĠSta r",
+      "u do",
+      "ud o",
+      "Ġ ded",
+      "Ġd ed",
+      "Ġde d",
+      "Ġ COM",
+      "ĠC OM",
+      "ĠCO M",
+      "Ġ confirm",
+      "Ġcon firm",
+      "Ġconf irm",
+      "Ġ Good",
+      "ĠG ood",
+      "ĠGo od",
+      ". sc",
+      ".s c",
+      "____ ____________",
+      "________ ________",
+      "____________ ____",
+      "D R",
+      "Config uration",
+      "Date Time",
+      "Ġ advert",
+      "Ġad vert",
+      "Ġadv ert",
+      "Ġ couldn",
+      "Ġcould n",
+      "a sync",
+      "as ync",
+      "asy nc",
+      "st ack",
+      "sta ck",
+      "' )čĊ",
+      "') čĊ",
+      "K it",
+      "Ki t",
+      "Ġh ous",
+      "Ġho us",
+      "Ġm echan",
+      "Ġme chan",
+      "Ġmec han",
+      "Ġmech an",
+      "r ate",
+      "ra te",
+      "rat e",
+      "2 04",
+      "20 4",
+      "Ġ audio",
+      "Ġa udio",
+      "Ġaud io",
+      "Ġau dio",
+      "Ġaudi o",
+      "ĉ cout",
+      "ĉc out",
+      "c ores",
+      "co res",
+      "core s",
+      "cor es",
+      "Ġ spot",
+      "Ġs pot",
+      "Ġsp ot",
+      "Ġspo t",
+      "Ġin creasing",
+      "Ġincre asing",
+      "Ġ ##",
+      "Ġ# #",
+      ") ))",
+      ")) )",
+      "p oints",
+      "point s",
+      "po ints",
+      "poi nts",
+      "Ġcom pared",
+      "Ġcomp ared",
+      "Ġcompar ed",
+      "Ġcompare d",
+      "l ig",
+      "li g",
+      "Ġ behavior",
+      "Ġbeh avior",
+      "Ġ BY",
+      "ĠB Y",
+      "Ġ Att",
+      "ĠA tt",
+      "ĠAt t",
+      "c raft",
+      "cr aft",
+      "he aders",
+      "head ers",
+      "header s",
+      "hea ders",
+      "e te",
+      "et e",
+      "end region",
+      "Ġ detail",
+      "Ġd etail",
+      "Ġde tail",
+      "Ġdet ail",
+      "U LE",
+      "UL E",
+      "Ġ Common",
+      "ĠCom mon",
+      "ĠComm on",
+      "ĉ protected",
+      "s ton",
+      "st on",
+      "sto n",
+      "ĠFIT NESS",
+      "Ġ fresh",
+      "Ġf resh",
+      "Ġfr esh",
+      "Ġfre sh",
+      "Ġfres h",
+      "\" >ĊĊ",
+      "\"> ĊĊ",
+      "\">Ċ Ċ",
+      ". example",
+      ".ex ample",
+      ".exam ple",
+      "b erg",
+      "ber g",
+      "be rg",
+      "Ġ moved",
+      "Ġm oved",
+      "Ġmov ed",
+      "Ġmove d",
+      "Ġmo ved",
+      "ĉ e",
+      "Ġ Saturday",
+      "ĠS aturday",
+      "Ġ payload",
+      "Ġp ayload",
+      "Ġpay load",
+      "Ä ĩ",
+      ") :ĊĊ",
+      "):Ċ Ċ",
+      "): ĊĊ",
+      "Ġb ey",
+      "Ġbe y",
+      "u rer",
+      "ur er",
+      "ure r",
+      "< script",
+      "<s cript",
+      "Ġ symbol",
+      "Ġs ymbol",
+      "Ġsym bol",
+      "Ġsymb ol",
+      "Ġas sum",
+      "Ġass um",
+      "Ġp ul",
+      "Ġpu l",
+      "E ffect",
+      "Eff ect",
+      "Ef fect",
+      "Ġh undred",
+      "T ool",
+      "To ol",
+      "Too l",
+      "a ked",
+      "ak ed",
+      "ake d",
+      "con nection",
+      "conn ection",
+      "connect ion",
+      "Ġ voice",
+      "Ġv oice",
+      "Ġvo ice",
+      "Ġvoi ce",
+      "Ġ pd",
+      "Ġp d",
+      "Ġ transaction",
+      "Ġtrans action",
+      "Ġ links",
+      "Ġl inks",
+      "Ġlink s",
+      "Ġlin ks",
+      "E rr",
+      "Er r",
+      "Ġ Indian",
+      "ĠInd ian",
+      "ĠIndia n",
+      "ĠIndi an",
+      "T C",
+      "at alog",
+      "ata log",
+      "atal og",
+      "n i",
+      "s ign",
+      "si gn",
+      "sig n",
+      "< <\"",
+      "<< \"",
+      "j i",
+      "y a",
+      "Ġdemon str",
+      "Ġdemons tr",
+      "u lated",
+      "ul ated",
+      "ula ted",
+      "ulate d",
+      ". St",
+      ".S t",
+      "Ġin stit",
+      "Ġins tit",
+      "Ġinst it",
+      "Ġ boost",
+      "Ġbo ost",
+      "Ġboo st",
+      "Ġ cells",
+      "Ġc ells",
+      "Ġcell s",
+      "Ġcel ls",
+      "o lic",
+      "ol ic",
+      "oli c",
+      ". Pro",
+      ".P ro",
+      ".Pr o",
+      ": </",
+      ":< /",
+      "Event Listener",
+      "if ying",
+      "ify ing",
+      "Ġ Di",
+      "ĠD i",
+      "or row",
+      "orr ow",
+      "orro w",
+      ". execute",
+      ".ex ecute",
+      ".exec ute",
+      "Ġ college",
+      "Ġcol lege",
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+      "Ġme dic",
+      "Ġmed ic",
+      "Ġmedi c",
+      "Ġ duration",
+      "Ġd uration",
+      "Ġdu ration",
+      "Ġdur ation",
+      "it ness",
+      "a gent",
+      "ag ent",
+      "age nt",
+      "agen t",
+      "A V",
+      "Ġ seven",
+      "Ġs even",
+      "Ġse ven",
+      "Ġsev en",
+      "o lf",
+      "ol f",
+      "Ġ }}Ċ",
+      "Ġ} }Ċ",
+      "Ġ}} Ċ",
+      "\" ],Ċ",
+      "\"] ,Ċ",
+      "\"], Ċ",
+      "1 70",
+      "17 0",
+      "1 22",
+      "12 2",
+      "Ġ calling",
+      "Ġc alling",
+      "Ġcall ing",
+      "Ġcal ling",
+      "Ġ ans",
+      "Ġa ns",
+      "Ġan s",
+      "th rows",
+      "throw s",
+      "thr ows",
+      "thro ws",
+      "or izontal",
+      "Ġ useState",
+      "Ġuse State",
+      ". fl",
+      ".f l",
+      "Ġ Status",
+      "ĠS tatus",
+      "ĠSt atus",
+      "ĠStat us",
+      "Ġ Online",
+      "ĠOn line",
+      "R R",
+      "Ġ Rich",
+      "ĠR ich",
+      "ĠRic h",
+      "ĠRi ch",
+      "ĠH ill",
+      "ĠHi ll",
+      "ĠHil l",
+      "Ġ brain",
+      "Ġb rain",
+      "Ġbr ain",
+      "Ġbra in",
+      "Ġfollow ed",
+      "Ġfoll owed",
+      "2 40",
+      "24 0",
+      "e mic",
+      "em ic",
+      "emi c",
+      "Ġs light",
+      "Ġsl ight",
+      "Ġ insurance",
+      "Ġins urance",
+      ". Array",
+      ".A rray",
+      ".Ar ray",
+      "Ġ abstract",
+      "Ġa bstract",
+      "Ġab stract",
+      "Ġabs tract",
+      "Ġabst ract",
+      "Ġ Sum",
+      "ĠS um",
+      "ĠSu m",
+      "re direct",
+      "red irect",
+      "redi rect",
+      "o wner",
+      "ow ner",
+      "own er",
+      "( msg",
+      "(m sg",
+      "(ms g",
+      "Ġ Clinton",
+      "ĠCl inton",
+      "ĠClin ton",
+      "ĠClint on",
+      "ĠCli nton",
+      "N on",
+      "No n",
+      "ĉ ex",
+      "ĉe x",
+      "Ġ volume",
+      "Ġv olume",
+      "Ġvol ume",
+      "Ġvolum e",
+      "Ġ EventArgs",
+      "ĠEvent Args",
+      "- L",
+      "Ġ Dim",
+      "ĠD im",
+      "ĠDi m",
+      "Ġ Mart",
+      "ĠM art",
+      "ĠMar t",
+      "ĠMa rt",
+      "Ġ cursor",
+      "Ġc ursor",
+      "Ġcurs or",
+      "Ġcurso r",
+      "Ġ implementation",
+      "Ġim plementation",
+      "Ġimplement ation",
+      "ur red",
+      "urre d",
+      "urr ed",
+      "Ġl arger",
+      "Ġlarge r",
+      "Ġlarg er",
+      "Ġlar ger",
+      ") ;ĊĊĊ",
+      ");Ċ ĊĊ",
+      ");ĊĊ Ċ",
+      "); ĊĊĊ",
+      "' +",
+      ". transform",
+      ".trans form",
+      "Ġ upload",
+      "Ġup load",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "D raw",
+      "Dr aw",
+      "n el",
+      "ne l",
+      "ĉ float",
+      "ĉf loat",
+      "q rt",
+      "qr t",
+      "Ġ Network",
+      "ĠN etwork",
+      "ĠNet work",
+      "Ġ tit",
+      "Ġt it",
+      "Ġti t",
+      "A xis",
+      "Ax is",
+      ". android",
+      ".and roid",
+      "Ġ completed",
+      "Ġcom pleted",
+      "Ġcomp leted",
+      "Ġcomple ted",
+      "Ġcomplet ed",
+      "Ġcompl eted",
+      "Ġcomplete d",
+      "Ġ mur",
+      "Ġm ur",
+      "Ġmu r",
+      "Ġ columns",
+      "Ġcolumn s",
+      "Ġcolum ns",
+      "x c",
+      "Ġ supply",
+      "Ġs upply",
+      "Ġsup ply",
+      "Ġsuppl y",
+      "Ġsupp ly",
+      "im inal",
+      "imi nal",
+      "imin al",
+      "Ġ spr",
+      "Ġs pr",
+      "Ġsp r",
+      "================ ================================================",
+      "================================ ================================",
+      "================================================ ================",
+      "Ġ units",
+      "Ġun its",
+      "Ġunit s",
+      "Ġuni ts",
+      "( u",
+      "m i",
+      "re place",
+      "rep lace",
+      "[ key",
+      "[k ey",
+      "à ¹",
+      "an tic",
+      "ant ic",
+      "anti c",
+      "Ġ payment",
+      "Ġp ayment",
+      "Ġpay ment",
+      ", B",
+      "Ġ Apple",
+      "ĠApp le",
+      "ĠAp ple",
+      "ĠAppl e",
+      "g in",
+      "gi n",
+      "Re quired",
+      "Require d",
+      "# +",
+      "l ands",
+      "land s",
+      "la nds",
+      "lan ds",
+      "Ġ squ",
+      "Ġs qu",
+      "Ġsq u",
+      "Ġ factor",
+      "Ġf actor",
+      "Ġfact or",
+      "Ġfa ctor",
+      "Ġfac tor",
+      "Ġfacto r",
+      "d ec",
+      "de c",
+      "Ġ strength",
+      "Ġst rength",
+      "Ġstr ength",
+      "Ġstre ngth",
+      "Ġstren gth",
+      "Ġ boy",
+      "Ġb oy",
+      "Ġbo y",
+      "Ġ balance",
+      "Ġb alance",
+      "Ġbal ance",
+      "Ġ sources",
+      "Ġs ources",
+      "Ġsource s",
+      "Ġsour ces",
+      "s creen",
+      "sc reen",
+      "scr een",
+      "- top",
+      "-t op",
+      "-to p",
+      "Ġ Amazon",
+      "ĠA mazon",
+      "ĠAm azon",
+      "ĠAma zon",
+      "Ġ hidden",
+      "Ġh idden",
+      "Ġhi dden",
+      "Ġhid den",
+      "е ÑĤ",
+      "_ client",
+      "_c lient",
+      "_cl ient",
+      "_cli ent",
+      "Ġ eat",
+      "Ġe at",
+      "Ġea t",
+      ". display",
+      ".d isplay",
+      ".dis play",
+      "Ġ »",
+      "ĠÂ »",
+      "Ġ trigger",
+      "Ġtr igger",
+      "Ġtri gger",
+      "Ġtrig ger",
+      "an ager",
+      "ana ger",
+      "Ġ tro",
+      "Ġt ro",
+      "Ġtr o",
+      "Ġ claims",
+      "Ġcl aims",
+      "Ġclaim s",
+      "Ġcla ims",
+      "f ord",
+      "fo rd",
+      "for d",
+      "Ġ Company",
+      "ĠCom pany",
+      "ĠComp any",
+      "Ġ gift",
+      "Ġg ift",
+      "Ġgi ft",
+      "Ġgif t",
+      ", :",
+      "_ app",
+      "_a pp",
+      "_ap p",
+      "h andle",
+      "han dle",
+      "hand le",
+      "Ġ produce",
+      "Ġp roduce",
+      "Ġpro duce",
+      "Ġprodu ce",
+      "Ġprod uce",
+      "/ lib",
+      "/l ib",
+      "/li b",
+      "5 12",
+      "51 2",
+      "Ġ -*",
+      "Ġ- *",
+      "ĉ set",
+      "ĉs et",
+      "ĉse t",
+      "' ];",
+      "'] ;",
+      "a rc",
+      "ar c",
+      "a nder",
+      "an der",
+      "and er",
+      "ande r",
+      "Ġ Engine",
+      "ĠE ngine",
+      "ĠEng ine",
+      "Ġ attributes",
+      "Ġat tributes",
+      "Ġattribute s",
+      "Ġattrib utes",
+      "t ask",
+      "ta sk",
+      "tas k",
+      "< =",
+      "( N",
+      "Ġ warm",
+      "Ġw arm",
+      "Ġwar m",
+      "Ġwa rm",
+      "wh ich",
+      "Ġ Fore",
+      "ĠF ore",
+      "ĠFor e",
+      "ĠFo re",
+      "ag nost",
+      "agn ost",
+      "m ys",
+      "my s",
+      "Ġ tal",
+      "Ġt al",
+      "Ġta l",
+      "Ġ Sal",
+      "ĠS al",
+      "ĠSa l",
+      "g i",
+      "Ġ Print",
+      "ĠP rint",
+      "ĠPr int",
+      "ĠPri nt",
+      "Ġ TRUE",
+      "ĠTR UE",
+      "Ġ о",
+      "ĠÐ ¾",
+      ". UI",
+      ".U I",
+      "Ġ flash",
+      "Ġf lash",
+      "Ġfl ash",
+      "Ġfla sh",
+      "ro perty",
+      "rop erty",
+      ". location",
+      ".l ocation",
+      ".loc ation",
+      ".lo cation",
+      "Ġ Mill",
+      "ĠM ill",
+      "ĠMil l",
+      "ĠMi ll",
+      "b i",
+      "con tr",
+      "cont r",
+      ". request",
+      ".re quest",
+      ".req uest",
+      "Ġ Sam",
+      "ĠS am",
+      "ĠSa m",
+      "Ġ negative",
+      "Ġn egative",
+      "Ġneg ative",
+      "k it",
+      "ki t",
+      "Ġ sett",
+      "Ġs ett",
+      "Ġse tt",
+      "Ġset t",
+      ".print StackTrace",
+      "a be",
+      "ab e",
+      "ĉ i",
+      "Ġ burn",
+      "Ġb urn",
+      "Ġbu rn",
+      "Ġbur n",
+      "Ġs ociety",
+      "Ġsoci ety",
+      "C ache",
+      "Ca che",
+      "Ġ Security",
+      "ĠS ecurity",
+      "ĠSe curity",
+      "ĠSec urity",
+      ". models",
+      ".model s",
+      ".mod els",
+      ".mode ls",
+      "ĠWARRANT Y",
+      "_ up",
+      "_u p",
+      "ce ive",
+      "Ġ clients",
+      "Ġc lients",
+      "Ġcl ients",
+      "Ġclient s",
+      "Ġcli ents",
+      ". Tr",
+      ".T r",
+      "Ġprovid ing",
+      "Ġprov iding",
+      "Ġr out",
+      "Ġro ut",
+      "Ġrou t",
+      "m aterial",
+      "mat erial",
+      "mate rial",
+      "Ġ ||Ċ",
+      "Ġ| |Ċ",
+      "Ġ|| Ċ",
+      "Ġ Ser",
+      "ĠS er",
+      "ĠSe r",
+      "Ġ Office",
+      "ĠOff ice",
+      "FT WARE",
+      "Ġ '$",
+      "Ġ' $",
+      "Ġf oc",
+      "Ġfo c",
+      "Ġex cell",
+      "Ġexc ell",
+      "Ġexcel l",
+      "Ġexce ll",
+      "Ġ cat",
+      "Ġc at",
+      "Ġca t",
+      "n ormal",
+      "norm al",
+      "nor mal",
+      "Ġd etermine",
+      "Ġdeter mine",
+      "Ġdetermin e",
+      "Ġdeterm ine",
+      "ĉ uint",
+      "ĉu int",
+      "ĉui nt",
+      "P ane",
+      "Pa ne",
+      "Pan e",
+      "Ġ employees",
+      "Ġemploy ees",
+      "Ġemployee s",
+      "Ġ Texas",
+      "ĠT exas",
+      "ĠTex as",
+      "Ġtr aff",
+      "Ġtra ff",
+      "Ġtraf f",
+      "Ġ Report",
+      "ĠRe port",
+      "ĠRep ort",
+      "ĠRepo rt",
+      "an ta",
+      "ant a",
+      "Ġ Box",
+      "ĠB ox",
+      "ĠBo x",
+      "Ġ django",
+      "Ġd jango",
+      "Ġdj ango",
+      "Ġ partner",
+      "Ġp artner",
+      "Ġpart ner",
+      "E B",
+      "L INE",
+      "LI NE",
+      "LIN E",
+      "Ġfe eling",
+      "Ġfeel ing",
+      "Ġfee ling",
+      "Ġ civil",
+      "Ġc ivil",
+      "Ġci vil",
+      "Ġciv il",
+      "( float",
+      "(f loat",
+      "S ql",
+      "Sq l",
+      "Ġwould n",
+      ". init",
+      ".in it",
+      ".i nit",
+      ".ini t",
+      ". left",
+      ".l eft",
+      ".le ft",
+      "- v",
+      "_ level",
+      "_le vel",
+      "' }",
+      "A F",
+      "Ġ loading",
+      "Ġlo ading",
+      "Ġload ing",
+      "Ġloa ding",
+      "Ġ Only",
+      "ĠOn ly",
+      "Ġ cookies",
+      "Ġc ookies",
+      "Ġco okies",
+      "Ġcook ies",
+      "Ġcookie s",
+      "Ġ Gl",
+      "ĠG l",
+      "C O",
+      "Ġ strategy",
+      "Ġstr ategy",
+      "Ġstrateg y",
+      "Ġstrate gy",
+      "(' ./",
+      "('. /",
+      "Ġ ship",
+      "Ġs hip",
+      "Ġsh ip",
+      "p oses",
+      "pos es",
+      "pose s",
+      "po ses",
+      "Ġ signal",
+      "Ġs ignal",
+      "Ġsign al",
+      "Ġsig nal",
+      "Ġ alpha",
+      "Ġal pha",
+      "Ġalph a",
+      ". pop",
+      ".p op",
+      ".po p",
+      "R adius",
+      "Rad ius",
+      "Radi us",
+      "Ġ replace",
+      "Ġre place",
+      "Ġrep lace",
+      "Ġrepl ace",
+      "_ DIR",
+      "_D IR",
+      "_DI R",
+      "c ounter",
+      "co unter",
+      "count er",
+      "bserv able",
+      "e la",
+      "el a",
+      "W eight",
+      "We ight",
+      "Wei ght",
+      "h ash",
+      "ha sh",
+      "has h",
+      "b ose",
+      "bo se",
+      "bos e",
+      "f x",
+      "Ġ Email",
+      "ĠE mail",
+      "ĠEm ail",
+      "Ġ refer",
+      "Ġre fer",
+      "Ġref er",
+      "local host",
+      "_ RO",
+      "_R O",
+      "i ques",
+      "ique s",
+      "iqu es",
+      "iq ues",
+      "S tep",
+      "St ep",
+      "Ste p",
+      "Ġ ahead",
+      "Ġa head",
+      "Ġah ead",
+      "( View",
+      "(V iew",
+      "Ġ Services",
+      "ĠS ervices",
+      "ĠService s",
+      "ĠServ ices",
+      "Ġ Json",
+      "ĠJ son",
+      "ĠJs on",
+      "ess or",
+      "esso r",
+      "Ġ pun",
+      "Ġp un",
+      "Ġpu n",
+      "Ġ appropriate",
+      "Ġapp ropriate",
+      "Ġappropri ate",
+      "a kers",
+      "ak ers",
+      "ake rs",
+      "aker s",
+      "o sen",
+      "os en",
+      "ose n",
+      "p osing",
+      "pos ing",
+      "po sing",
+      "Ġ agent",
+      "Ġa gent",
+      "Ġag ent",
+      "Ġage nt",
+      "f c",
+      "Ġ transfer",
+      "Ġtrans fer",
+      "Ġtransf er",
+      "Ġ invalid",
+      "Ġin valid",
+      "Ġinval id",
+      "Ġ Research",
+      "ĠRe search",
+      "ĠRes earch",
+      "Vert ex",
+      "Ver tex",
+      "Ġ gay",
+      "Ġg ay",
+      "Ġga y",
+      "Ġ journal",
+      "Ġj ournal",
+      "Ġjo urnal",
+      "Ġjour nal",
+      "[ x",
+      "Ġ \"\",Ċ",
+      "Ġ\" \",Ċ",
+      "Ġ\"\" ,Ċ",
+      "Ġ\"\", Ċ",
+      "Ġ Well",
+      "ĠW ell",
+      "ĠWe ll",
+      "ĠWel l",
+      ". Tasks",
+      ".T asks",
+      ".Task s",
+      "S pec",
+      "Sp ec",
+      "Spe c",
+      "Ġ ol",
+      "Ġo l",
+      "Ġs pend",
+      "Ġsp end",
+      "Ġspe nd",
+      "Ġ Australia",
+      "ĠA ustralia",
+      "ĠAustral ia",
+      "ĠAustr alia",
+      "M atch",
+      "Mat ch",
+      ".j unit",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "Ġ MAX",
+      "ĠM AX",
+      "ĠMA X",
+      "iz able",
+      "iza ble",
+      "cl usive",
+      "clus ive",
+      "_ valid",
+      "_val id",
+      "_va lid",
+      "Ġ quarter",
+      "Ġqu arter",
+      "Ġquar ter",
+      "Ġquart er",
+      "y an",
+      "ya n",
+      "0 05",
+      "00 5",
+      "Ġ Edit",
+      "ĠE dit",
+      "ĠEd it",
+      "ar den",
+      "ard en",
+      "arde n",
+      "= new",
+      "=n ew",
+      "Ġ frag",
+      "Ġf rag",
+      "Ġfr ag",
+      "Ġfra g",
+      "B it",
+      "Bi t",
+      "z i",
+      "a ine",
+      "ain e",
+      "ai ne",
+      "u dd",
+      "ud d",
+      ". Object",
+      ".O bject",
+      ".Obj ect",
+      "de bug",
+      "deb ug",
+      "Ġ cash",
+      "Ġc ash",
+      "Ġca sh",
+      "Ġcas h",
+      "_ IM",
+      "_I M",
+      "Ġ een",
+      "Ġe en",
+      "Ġee n",
+      "Ġ commercial",
+      "Ġcom mercial",
+      "Ġcomm ercial",
+      "Ġcommerc ial",
+      "Ġ Video",
+      "ĠV ideo",
+      "ĠVi deo",
+      "ĠVid eo",
+      "ĠVide o",
+      "l oader",
+      "lo ader",
+      "load er",
+      "Ġ fixed",
+      "Ġf ixed",
+      "Ġfix ed",
+      "Ġfi xed",
+      "Ġ applications",
+      "Ġapp lications",
+      "Ġapplication s",
+      "Ġapplic ations",
+      "Ġappl ications",
+      "Ġ _,",
+      "Ġ_ ,",
+      "Ġ Russia",
+      "ĠR ussia",
+      "ĠRuss ia",
+      "it ect",
+      "ite ct",
+      "_ (",
+      "Ġ Block",
+      "ĠB lock",
+      "ĠBl ock",
+      "ĠBlo ck",
+      "ĠBloc k",
+      "Ġ san",
+      "Ġs an",
+      "Ġsa n",
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+      "/ n",
+      "s n",
+      "un defined",
+      "und efined",
+      "undef ined",
+      ". items",
+      ".i tems",
+      ".item s",
+      ".it ems",
+      "ut ow",
+      "uto w",
+      "a mage",
+      "am age",
+      "ama ge",
+      "Ġ accounts",
+      "Ġac counts",
+      "Ġaccount s",
+      "o okie",
+      "ook ie",
+      "oo kie",
+      "S ection",
+      "Se ction",
+      "Sec tion",
+      "ic ians",
+      "ici ans",
+      "ician s",
+      "icia ns",
+      "Ġad vis",
+      "Ġadv is",
+      "( is",
+      "(i s",
+      "[ :,",
+      "[: ,",
+      "Ġ France",
+      "ĠF rance",
+      "ĠFr ance",
+      "ĠFranc e",
+      "ĠFra nce",
+      "ĠFran ce",
+      "F unc",
+      "Fun c",
+      "Fu nc",
+      "ic ious",
+      "ici ous",
+      "icio us",
+      "Ġ tok",
+      "Ġt ok",
+      "Ġto k",
+      "Ch annel",
+      "Chan nel",
+      "Ġ AD",
+      "ĠA D",
+      "_ NUM",
+      "_N UM",
+      "Ġ timeout",
+      "Ġtime out",
+      "l emma",
+      "le mma",
+      "lem ma",
+      "r eme",
+      "re me",
+      "rem e",
+      "u j",
+      ". Al",
+      ".A l",
+      "u clear",
+      "uc lear",
+      "ucle ar",
+      "( os",
+      "(o s",
+      "( \"<",
+      "(\" <",
+      "[ Ċ",
+      "f etch",
+      "fet ch",
+      "Ġ bal",
+      "Ġb al",
+      "Ġba l",
+      "Ġ guid",
+      "Ġg uid",
+      "Ġgu id",
+      "Ġgui d",
+      "- align",
+      "-al ign",
+      "Ġ Write",
+      "ĠW rite",
+      "ĠWr ite",
+      "Ġ Once",
+      "ĠO nce",
+      "ĠOn ce",
+      "ĠOnc e",
+      "utow ired",
+      "OD ULE",
+      "Ġ pitch",
+      "Ġp itch",
+      "Ġpit ch",
+      "C F",
+      "by tes",
+      "byte s",
+      "byt es",
+      "Ġ Commission",
+      "ĠCom mission",
+      "ĠComm ission",
+      "Ġin cred",
+      "Ġincre d",
+      "Ġinc red",
+      "Ġincr ed",
+      "P ER",
+      "PE R",
+      "_ response",
+      "_res ponse",
+      "_resp onse",
+      "Ġ Los",
+      "ĠL os",
+      "ĠLo s",
+      "p arser",
+      "par ser",
+      "parse r",
+      "pars er",
+      "Ġ assume",
+      "Ġas sume",
+      "Ġass ume",
+      "Ġassum e",
+      ". Request",
+      ".Re quest",
+      "Ġ Token",
+      "ĠT oken",
+      "ĠTo ken",
+      "ĠTok en",
+      "_ position",
+      "_p osition",
+      "_pos ition",
+      "Ġ nom",
+      "Ġn om",
+      "Ġno m",
+      "- term",
+      "-t erm",
+      "-te rm",
+      "Ġ remaining",
+      "Ġrem aining",
+      "Ġremain ing",
+      "i ostream",
+      "io stream",
+      "Ġ pieces",
+      "Ġp ieces",
+      "Ġpie ces",
+      "Ġpiece s",
+      "a py",
+      "ap y",
+      "Ġ Less",
+      "ĠL ess",
+      "ĠLe ss",
+      "ĠLes s",
+      "r ange",
+      "ra nge",
+      "ran ge",
+      "rang e",
+      "um bn",
+      "umb n",
+      "p rise",
+      "pr ise",
+      "pri se",
+      "_ option",
+      "_op tion",
+      "_o ption",
+      "_opt ion",
+      "2 30",
+      "23 0",
+      "I mpl",
+      "Im pl",
+      "Imp l",
+      "k wargs",
+      "kw args",
+      "Ġbusiness es",
+      "Al ert",
+      "Ale rt",
+      "Ġpart ies",
+      "Ġpar ties",
+      "Ġpartie s",
+      "Ġparti es",
+      "Ġ Container",
+      "ĠCont ainer",
+      "Ġ Private",
+      "ĠPr ivate",
+      "ĠPriv ate",
+      "Ġ Plan",
+      "ĠP lan",
+      "ĠPl an",
+      "ĠPla n",
+      "Ġ registered",
+      "Ġregister ed",
+      "Ġregist ered",
+      "Ġ jour",
+      "Ġj our",
+      "Ġjo ur",
+      "Ġjou r",
+      "a cker",
+      "ack er",
+      "ac ker",
+      "е ни",
+      "ен и",
+      "/ >",
+      "c hat",
+      "ch at",
+      "cha t",
+      "s ect",
+      "se ct",
+      "sec t",
+      "Ġ creation",
+      "Ġc reation",
+      "Ġcre ation",
+      "Ġcreat ion",
+      "Ġcrea tion",
+      "ol utely",
+      "olute ly",
+      "olut ely",
+      "Ġ instant",
+      "Ġin stant",
+      "Ġins tant",
+      "Ġinst ant",
+      "Ġ delivery",
+      "Ġd elivery",
+      "Ġdel ivery",
+      "Ġdeliver y",
+      "i cken",
+      "ic ken",
+      "ick en",
+      "y es",
+      "ye s",
+      "1 63",
+      "16 3",
+      "Ġ Franc",
+      "ĠFr anc",
+      "ĠFra nc",
+      "ĠFran c",
+      "b ling",
+      "bl ing",
+      "e nda",
+      "en da",
+      "end a",
+      "[ (",
+      "_ range",
+      "_r ange",
+      "_ra nge",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "Ġ schedule",
+      "Ġs chedule",
+      "Ġsched ule",
+      "C onn",
+      "Con n",
+      "Co nn",
+      "Ġ thank",
+      "Ġth ank",
+      "Ġthan k",
+      "Ġtha nk",
+      "x d",
+      "Ġ hook",
+      "Ġh ook",
+      "Ġho ok",
+      "Ġ documentation",
+      "Ġdocument ation",
+      "Param eters",
+      "Parameter s",
+      "H ello",
+      "Hel lo",
+      "Hell o",
+      "v t",
+      "Ġ articles",
+      "Ġart icles",
+      "Ġarticle s",
+      "Ġartic les",
+      "Ġ west",
+      "Ġw est",
+      "Ġwe st",
+      "Ġwes t",
+      "d efined",
+      "def ined",
+      "define d",
+      ". select",
+      ".s elect",
+      ".se lect",
+      ".sel ect",
+      "ok ens",
+      "oken s",
+      "oke ns",
+      "Ġ VAL",
+      "ĠV AL",
+      "ĠVA L",
+      ". file",
+      ".f ile",
+      ".fi le",
+      ".fil e",
+      "re set",
+      "res et",
+      "rese t",
+      "Ġ mys",
+      "Ġm ys",
+      "Ġmy s",
+      "Ġ MA",
+      "ĠM A",
+      "] ),",
+      "]) ,",
+      "Ġ cities",
+      "Ġc ities",
+      "Ġcit ies",
+      "Ġci ties",
+      "re lated",
+      "rel ated",
+      "å Ľ",
+      "Ġ appeared",
+      "Ġappe ared",
+      "Ġappear ed",
+      "Ġ wid",
+      "Ġw id",
+      "Ġwi d",
+      ". panel",
+      ".p anel",
+      ".pa nel",
+      ".pan el",
+      "Ġ Ins",
+      "ĠI ns",
+      "ĠIn s",
+      ". entity",
+      ".e ntity",
+      ".ent ity",
+      "Ġde cre",
+      "Ġdec re",
+      "Ġ Lou",
+      "ĠL ou",
+      "ĠLo u",
+      "( time",
+      "(t ime",
+      "(ti me",
+      "Ġ Thank",
+      "ĠTh ank",
+      "ĠThan k",
+      ". createElement",
+      ".create Element",
+      "Ġ mentioned",
+      "Ġmention ed",
+      "Ġment ioned",
+      "o unce",
+      "ou nce",
+      "oun ce",
+      "ounc e",
+      "Ġ Try",
+      "ĠT ry",
+      "ĠTr y",
+      "Ġ Wall",
+      "ĠW all",
+      "ĠWal l",
+      "ĠWa ll",
+      "/ images",
+      "/image s",
+      "/im ages",
+      "Ġ Menu",
+      "ĠM enu",
+      "ĠMe nu",
+      "ĠMen u",
+      "' čĊ",
+      "Ġ Er",
+      "ĠE r",
+      "Ġc ritic",
+      "Ġcr itic",
+      "Ġcrit ic",
+      "Ġcri tic",
+      "Ġ Year",
+      "ĠY ear",
+      "ĠYe ar",
+      "( param",
+      "(p aram",
+      "(par am",
+      "(pa ram",
+      "(para m",
+      "Ġ flo",
+      "Ġf lo",
+      "Ġfl o",
+      "N N",
+      "o oter",
+      "oot er",
+      "oo ter",
+      "Ġ ];Ċ",
+      "Ġ] ;Ċ",
+      "Ġ]; Ċ",
+      "Ġ Aff",
+      "ĠA ff",
+      "ĠAf f",
+      "\" github",
+      "\"g ithub",
+      "ro oms",
+      "room s",
+      "Ġ hyp",
+      "Ġh yp",
+      "Ġhy p",
+      "g lobal",
+      "glob al",
+      "Ġ avec",
+      "Ġa vec",
+      "Ġav ec",
+      "Ġave c",
+      "æľ Ī",
+      "Ġ completion",
+      "Ġcom pletion",
+      "Ġcomp letion",
+      "Ġcomple tion",
+      "Ġcomplet ion",
+      "Ġ cond",
+      "Ġc ond",
+      "Ġcon d",
+      "Ġco nd",
+      "on ymous",
+      "onym ous",
+      "( temp",
+      "(t emp",
+      "(te mp",
+      "Ġ stars",
+      "Ġst ars",
+      "Ġstar s",
+      "Ġsta rs",
+      "Ġ relevant",
+      "Ġre levant",
+      "Ġrele vant",
+      "Ġrelev ant",
+      "Ġ covered",
+      "Ġcover ed",
+      "Ġcov ered",
+      "Ġ elim",
+      "Ġe lim",
+      "Ġel im",
+      "_ types",
+      "_t ypes",
+      "_type s",
+      "_typ es",
+      "_ty pes",
+      "( bool",
+      "(b ool",
+      "Ġ tu",
+      "Ġt u",
+      "_ exists",
+      "_ex ists",
+      "_exist s",
+      "Ġ secure",
+      "Ġs ecure",
+      "Ġsec ure",
+      "Ġ stored",
+      "Ġst ored",
+      "Ġstore d",
+      "Ġstor ed",
+      "Ġsto red",
+      "] /",
+      "x F",
+      "Ġ Controller",
+      "ĠCont roller",
+      "ĠControl ler",
+      "ĠContr oller",
+      "Ġm igr",
+      "Ġmi gr",
+      "Ġmig r",
+      "M I",
+      "Ġ Den",
+      "ĠD en",
+      "ĠDe n",
+      "Ġ annual",
+      "Ġann ual",
+      "U IL",
+      "UI L",
+      "- and",
+      "-a nd",
+      "-an d",
+      "Ġ crime",
+      "Ġcr ime",
+      "Ġcri me",
+      "Ġcrim e",
+      "b el",
+      "be l",
+      "Ġk itchen",
+      "Ġkit chen",
+      "@ g",
+      "_ ph",
+      "_p h",
+      "ourn ament",
+      "Ġ Social",
+      "ĠS ocial",
+      "ĠSo cial",
+      "ĠSoc ial",
+      "ĠSoci al",
+      "Ġ Special",
+      "ĠS pecial",
+      "ĠSp ecial",
+      "ĠSpec ial",
+      "ĠSpe cial",
+      "lo gger",
+      "log ger",
+      "logg er",
+      "Ġ tail",
+      "Ġt ail",
+      "Ġta il",
+      "Ġtai l",
+      "Ġ unknown",
+      "Ġun known",
+      "Ġunk nown",
+      "Ġunknow n",
+      "d ed",
+      "de d",
+      "Ġapp rec",
+      "Ġap prec",
+      "( db",
+      "(d b",
+      "c f",
+      "1 55",
+      "15 5",
+      "Ġ assign",
+      "Ġas sign",
+      "Ġass ign",
+      "- out",
+      "-o ut",
+      "Ġ Mont",
+      "ĠM ont",
+      "ĠMon t",
+      "ĠMo nt",
+      "d p",
+      "w idget",
+      "wid get",
+      "Ġ stone",
+      "Ġs tone",
+      "Ġst one",
+      "Ġsto ne",
+      "- primary",
+      "-pr imary",
+      ". grid",
+      ".g rid",
+      ".gr id",
+      "Res ults",
+      "Result s",
+      "a zz",
+      "az z",
+      "Ġ daughter",
+      "Ġda ughter",
+      "Ġ curr",
+      "Ġc urr",
+      "Ġcur r",
+      "Ġcu rr",
+      "1 75",
+      "17 5",
+      "Ġ lin",
+      "Ġl in",
+      "Ġli n",
+      "Ġ south",
+      "Ġs outh",
+      "Ġso uth",
+      "Ġsou th",
+      "Ġsout h",
+      "form s",
+      "fo rms",
+      "for ms",
+      "Ġ OUT",
+      "ĠO UT",
+      "ĠOU T",
+      "l ette",
+      "le tte",
+      "let te",
+      "lett e",
+      "a ks",
+      "ak s",
+      "ig ure",
+      "igu re",
+      "Ġ EU",
+      "ĠE U",
+      "var iable",
+      "vari able",
+      "Ġ brief",
+      "Ġb rief",
+      "Ġbr ief",
+      "Ġbri ef",
+      "Ġ Scott",
+      "ĠS cott",
+      "ĠSc ott",
+      "ĠScot t",
+      "ĠSco tt",
+      "Ġ conference",
+      "Ġcon ference",
+      "Ġconf erence",
+      "Ġconfer ence",
+      "a nda",
+      "an da",
+      "and a",
+      "_ lock",
+      "_l ock",
+      "_lo ck",
+      "_loc k",
+      "o ral",
+      "or al",
+      "ora l",
+      "Ġe ine",
+      "Ġein e",
+      "Ġei ne",
+      "O RS",
+      "OR S",
+      "//// ////////////////////////////////////////////////////////////",
+      "//////// ////////////////////////////////////////////////////////",
+      "//////////////// ////////////////////////////////////////////////",
+      "//////////////////////////////// ////////////////////////////////",
+      "//////////// ////////////////////////////////////////////////////",
+      "//////////////////////////////////////////////// ////////////////",
+      "//////////////////////////////////////////////////////// ////////",
+      "//////////////////////////////////////////////////////////// ////",
+      "//////////////////////////////////////////////////// ////////////",
+      "es so",
+      "ess o",
+      "Ġ ris",
+      "Ġr is",
+      "Ġri s",
+      "Ġ gender",
+      "Ġg ender",
+      "Ġge nder",
+      "Ġgen der",
+      "es tic",
+      "est ic",
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+      "Ġs pring",
+      "Ġsp ring",
+      "Ġspr ing",
+      ". \",",
+      ".\" ,",
+      "Ġ Dictionary",
+      "ĠD ictionary",
+      "B JECT",
+      "BJ ECT",
+      "Ġ locations",
+      "Ġl ocations",
+      "Ġloc ations",
+      "Ġlocation s",
+      "Ġ samples",
+      "Ġs amples",
+      "Ġsample s",
+      "Ġsam ples",
+      "Ġsamp les",
+      "Input Stream",
+      "Ġ Brown",
+      "ĠB rown",
+      "ĠBr own",
+      "ĠBro wn",
+      "ĠBrow n",
+      "Ġ stats",
+      "Ġst ats",
+      "Ġstat s",
+      "Ġsta ts",
+      "q uality",
+      "qu ality",
+      "qual ity",
+      "Ñ ħ",
+      "- dis",
+      "-d is",
+      "-di s",
+      "Ġhelp ing",
+      "Ġhel ping",
+      "Ġ ped",
+      "Ġp ed",
+      "Ġpe d",
+      "2 24",
+      "22 4",
+      "( se",
+      "(s e",
+      "Ġ Who",
+      "ĠW ho",
+      "ĠWh o",
+      "a lian",
+      "al ian",
+      "ali an",
+      "alia n",
+      "in ternal",
+      "int ernal",
+      "inter nal",
+      "intern al",
+      "Ġ ft",
+      "Ġf t",
+      "> ().",
+      ">( ).",
+      ">() .",
+      "- >{",
+      "-> {",
+      "Ġ mine",
+      "Ġm ine",
+      "Ġmin e",
+      "Ġmi ne",
+      "Ġ sector",
+      "Ġs ector",
+      "Ġse ctor",
+      "Ġsec tor",
+      "Ġsect or",
+      "Ġ gro",
+      "Ġg ro",
+      "Ġgr o",
+      "Ġopport unities",
+      "Ġopportun ities",
+      "Ġ ü",
+      "ĠÃ ¼",
+      "Ġ mp",
+      "Ġm p",
+      "Ġalleg ed",
+      "Ġalle ged",
+      "Ġallege d",
+      "Ġdoub t",
+      "Ġdou bt",
+      "M ouse",
+      "Mo use",
+      "A bout",
+      "Ab out",
+      "_ part",
+      "_p art",
+      "_par t",
+      "_pa rt",
+      "Ġ chair",
+      "Ġc hair",
+      "Ġch air",
+      "Ġcha ir",
+      "Ġchai r",
+      "Ġ stopped",
+      "Ġst opped",
+      "Ġstop ped",
+      "Ġsto pped",
+      "1 61",
+      "16 1",
+      "l oop",
+      "lo op",
+      "loo p",
+      "ent ities",
+      "enti ties",
+      "Ġ apps",
+      "Ġa pps",
+      "Ġapp s",
+      "Ġap ps",
+      "ans ion",
+      "ansi on",
+      "Ġ mental",
+      "Ġm ental",
+      "Ġmen tal",
+      "Ġment al",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "F R",
+      "Ġdef end",
+      "Ġdefe nd",
+      "c are",
+      "ca re",
+      "car e",
+      "Ġ ideal",
+      "Ġi deal",
+      "Ġide al",
+      "Ġidea l",
+      "/ api",
+      "/a pi",
+      "/ap i",
+      "ur face",
+      "urf ace",
+      "0 11",
+      "01 1",
+      "Ġ ele",
+      "Ġe le",
+      "Ġel e",
+      "u lator",
+      "ul ator",
+      "ula tor",
+      "Ġ Rights",
+      "ĠR ights",
+      "ĠRight s",
+      "angu ages",
+      "anguage s",
+      "Ġf unds",
+      "Ġfun ds",
+      "Ġfund s",
+      "Ġfu nds",
+      "Ġ adapt",
+      "Ġad apt",
+      "Ġada pt",
+      "Ġadap t",
+      "At tributes",
+      "Attribute s",
+      "Attrib utes",
+      "Ġ deploy",
+      "Ġde ploy",
+      "Ġdep loy",
+      "o pts",
+      "op ts",
+      "opt s",
+      "Ġ validation",
+      "Ġvalid ation",
+      "Ġvalida tion",
+      "Ġconcern s",
+      "u ce",
+      "uc e",
+      ". num",
+      ".n um",
+      "ul ture",
+      "ult ure",
+      "ultur e",
+      "i la",
+      "il a",
+      "Ġ cup",
+      "Ġc up",
+      "Ġcu p",
+      "Ġ pure",
+      "Ġp ure",
+      "Ġpur e",
+      "Ġpu re",
+      ". Fore",
+      ".F ore",
+      ".For e",
+      "1 83",
+      "18 3",
+      "Ġ HashMap",
+      "ĠHash Map",
+      ". valueOf",
+      ".value Of",
+      "a sm",
+      "as m",
+      "M O",
+      "Ġ cs",
+      "Ġc s",
+      "Ġ stores",
+      "Ġst ores",
+      "Ġstore s",
+      "Ġstor es",
+      "Ġsto res",
+      "Ġ ************************************************************************",
+      "Ġ**************************************************************** ********",
+      "Ġ******************************** ****************************************",
+      "Ġ******** ****************************************************************",
+      "Ġ**************** ********************************************************",
+      "Ġ************************ ************************************************",
+      "Ġ**************************************** ********************************",
+      "Ġ******************************************************** ****************",
+      "Ġ************************************************ ************************",
+      "Ġ communication",
+      "Ġcomm unication",
+      "Ġcommunic ation",
+      "Ġcommun ication",
+      "m em",
+      "me m",
+      ". EventHandler",
+      ".Event Handler",
+      ". Status",
+      ".S tatus",
+      ".St atus",
+      ".Stat us",
+      "_ right",
+      "_r ight",
+      ".set On",
+      "S heet",
+      "She et",
+      "Ġ identify",
+      "Ġident ify",
+      "ener ated",
+      "ene rated",
+      "enerate d",
+      "ord ered",
+      "order ed",
+      "orde red",
+      "Ġ \"[",
+      "Ġ\" [",
+      "Ġs we",
+      "Ġsw e",
+      "Con dition",
+      "Cond ition",
+      "Ġ According",
+      "ĠA ccording",
+      "ĠAcc ording",
+      "ĠAccord ing",
+      "Ġ prepare",
+      "Ġpre pare",
+      "Ġprepar e",
+      "Ġprep are",
+      "Ġ rob",
+      "Ġr ob",
+      "Ġro b",
+      "P ool",
+      "Po ol",
+      "Ġ sport",
+      "Ġs port",
+      "Ġsp ort",
+      "Ġspo rt",
+      "Ġspor t",
+      "r v",
+      "Ġ Router",
+      "ĠR outer",
+      "ĠRoute r",
+      "ĠRo uter",
+      "ĠRou ter",
+      "ĠRout er",
+      "Ġ alternative",
+      "Ġaltern ative",
+      "Ġalter native",
+      "( []",
+      "([ ]",
+      "Ġ Chicago",
+      "ĠCh icago",
+      "ĠChic ago",
+      "i pher",
+      "ip her",
+      "iph er",
+      "is che",
+      "isc he",
+      "isch e",
+      "Ġ Director",
+      "ĠD irector",
+      "ĠDirect or",
+      "ĠDir ector",
+      "ĠDire ctor",
+      "k l",
+      "Ġ Wil",
+      "ĠW il",
+      "ĠWi l",
+      "ke ys",
+      "key s",
+      "Ġ mysql",
+      "Ġm ysql",
+      "Ġmy sql",
+      "Ġmys ql",
+      "Ġ welcome",
+      "Ġw elcome",
+      "Ġwel come",
+      "k ing",
+      "ki ng",
+      "kin g",
+      "Ġ Manager",
+      "ĠM anager",
+      "ĠMan ager",
+      "ĠManage r",
+      "ĠMana ger",
+      "Ġ caught",
+      "Ġca ught",
+      ") }Ċ",
+      ")} Ċ",
+      "S core",
+      "Sc ore",
+      "_ PR",
+      "_P R",
+      "Ġ survey",
+      "Ġs urvey",
+      "Ġsur vey",
+      "Ġsurv ey",
+      "Ġsurve y",
+      "h ab",
+      "ha b",
+      "He aders",
+      "Header s",
+      "Head ers",
+      "A DER",
+      "AD ER",
+      "ADE R",
+      "Ġ decor",
+      "Ġde cor",
+      "Ġdec or",
+      "Ġdeco r",
+      "Ġturn s",
+      "Ġtur ns",
+      "Ġ radius",
+      "Ġr adius",
+      "Ġrad ius",
+      "Ġradi us",
+      "er rupt",
+      "err upt",
+      "C or",
+      "Co r",
+      "Ġ mel",
+      "Ġm el",
+      "Ġme l",
+      "Ġ intr",
+      "Ġin tr",
+      "Ġint r",
+      "( q",
+      "Ġ AC",
+      "ĠA C",
+      "a mos",
+      "am os",
+      "amo s",
+      "M AX",
+      "MA X",
+      "Ġ Grid",
+      "ĠG rid",
+      "ĠGr id",
+      "ĠGri d",
+      "Ġ Jesus",
+      "ĠJ esus",
+      "ĠJes us",
+      "ĠJe sus",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      ". DE",
+      ".D E",
+      "Ġ ts",
+      "Ġt s",
+      "Ġ linked",
+      "Ġlink ed",
+      "Ġlin ked",
+      "f ree",
+      "fr ee",
+      "fre e",
+      "Ġ Qt",
+      "ĠQ t",
+      "Ġ /**čĊ",
+      "Ġ/ **čĊ",
+      "Ġ/* *čĊ",
+      "Ġ/** čĊ",
+      "Ġf aster",
+      "Ġfa ster",
+      "Ġfast er",
+      "Ġfas ter",
+      "c tr",
+      "ct r",
+      "_ J",
+      "D T",
+      ". Check",
+      ".C heck",
+      ".Ch eck",
+      "Ġ combination",
+      "Ġcomb ination",
+      "Ġcombin ation",
+      "Ġint ended",
+      "Ġintend ed",
+      "- the",
+      "-t he",
+      "-th e",
+      "- type",
+      "-t ype",
+      "1 82",
+      "18 2",
+      "e ctors",
+      "ect ors",
+      "ec tors",
+      "ector s",
+      "a mi",
+      "am i",
+      "u ting",
+      "ut ing",
+      "uti ng",
+      "utin g",
+      "Ġ uma",
+      "Ġu ma",
+      "Ġum a",
+      "X ML",
+      "XM L",
+      "U CT",
+      "UC T",
+      "A p",
+      "Ġ Random",
+      "ĠR andom",
+      "ĠRand om",
+      "ĠRan dom",
+      "Ġ ran",
+      "Ġr an",
+      "Ġra n",
+      ". sort",
+      ".s ort",
+      ".so rt",
+      "Ġ sorted",
+      "Ġs orted",
+      "Ġsort ed",
+      "Ġsor ted",
+      "Ġsorte d",
+      ". Un",
+      ".U n",
+      "4 01",
+      "40 1",
+      "_ PER",
+      "_P ER",
+      "_PE R",
+      "it ory",
+      "itor y",
+      "ito ry",
+      "Ġ priority",
+      "Ġp riority",
+      "Ġprior ity",
+      "Ġpriorit y",
+      "Ġ Gal",
+      "ĠG al",
+      "ĠGa l",
+      "Ġ Old",
+      "ĠO ld",
+      "ĠOl d",
+      "h ot",
+      "ho t",
+      "Ġ Display",
+      "ĠD isplay",
+      "ĠDis play",
+      "ĠDisp lay",
+      "( sub",
+      "(s ub",
+      "_ TH",
+      "_T H",
+      "_ Y",
+      "Ġ Care",
+      "ĠC are",
+      "ĠCar e",
+      "ĠCa re",
+      "lo ading",
+      "load ing",
+      "K ind",
+      "Kin d",
+      "Ki nd",
+      "_ handle",
+      "_h andle",
+      "_hand le",
+      ", ,",
+      "r ase",
+      "ra se",
+      "ras e",
+      "_ replace",
+      "_re place",
+      "_rep lace",
+      ". addEventListener",
+      ".add EventListener",
+      "Ġ RT",
+      "ĠR T",
+      "1 72",
+      "17 2",
+      "Ġ entered",
+      "Ġen tered",
+      "Ġent ered",
+      "Ġenter ed",
+      "g ers",
+      "ge rs",
+      "ger s",
+      "Ġ ich",
+      "Ġi ch",
+      "Ġic h",
+      "( start",
+      "(st art",
+      "2 05",
+      "20 5",
+      "/ app",
+      "/a pp",
+      "/ap p",
+      "Ġbr other",
+      "Ġbro ther",
+      "Ġbroth er",
+      "M emory",
+      "Mem ory",
+      "Memo ry",
+      "Out let",
+      "Ġ utf",
+      "Ġu tf",
+      "Ġut f",
+      "p rec",
+      "pr ec",
+      "pre c",
+      "Ġ navigation",
+      "Ġn avigation",
+      "Ġnav igation",
+      "Ġnavig ation",
+      "O RK",
+      "OR K",
+      "Ġ dst",
+      "Ġd st",
+      "Ġds t",
+      "D etail",
+      "De tail",
+      "Det ail",
+      "Ġaud ience",
+      "Ġaudi ence",
+      "Ġ dur",
+      "Ġd ur",
+      "Ġdu r",
+      "Ġ cluster",
+      "Ġcl uster",
+      "un ched",
+      "unc hed",
+      "unch ed",
+      "Ġ ],",
+      "Ġ] ,",
+      "Ġcomfort able",
+      ". values",
+      ".value s",
+      ".val ues",
+      "Ġ Total",
+      "ĠT otal",
+      "ĠTo tal",
+      "ĠTot al",
+      "Ġ snap",
+      "Ġs nap",
+      "Ġsn ap",
+      "Ġsna p",
+      "Ġstand ards",
+      "Ġstandard s",
+      "Ġper formed",
+      "Ġperform ed",
+      "Ġperfor med",
+      "h and",
+      "ha nd",
+      "han d",
+      "( \"@",
+      "(\" @",
+      "å Ń",
+      "Ġ phil",
+      "Ġp hil",
+      "Ġph il",
+      "Ġphi l",
+      "i br",
+      "ib r",
+      "t rim",
+      "tr im",
+      "tri m",
+      "Ġ forget",
+      "Ġf orget",
+      "Ġfor get",
+      "Ġforg et",
+      "Ġforge t",
+      "1 57",
+      "15 7",
+      "Ġ doctor",
+      "Ġdo ctor",
+      "Ġdoc tor",
+      ". TextBox",
+      ".Text Box",
+      "3 77",
+      "37 7",
+      "i cons",
+      "ic ons",
+      "icon s",
+      "ico ns",
+      ", s",
+      "Ġ Op",
+      "ĠO p",
+      "S m",
+      "S top",
+      "St op",
+      "ĉ List",
+      "ĉL ist",
+      "ĉ u",
+      "Com ment",
+      "Comm ent",
+      "_ VERSION",
+      "_V ERSION",
+      "_VER SION",
+      ".X tra",
+      "P erson",
+      "Per son",
+      "Pers on",
+      "r b",
+      "L OB",
+      "LO B",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "Ġ Central",
+      "ĠC entral",
+      "ĠCent ral",
+      "2 70",
+      "27 0",
+      "I CK",
+      "IC K",
+      "r aq",
+      "ra q",
+      "Ġp utting",
+      "Ġput ting",
+      "Ġputt ing",
+      "Ġ md",
+      "Ġm d",
+      "Ġ Love",
+      "ĠL ove",
+      "ĠLo ve",
+      "ĠLov e",
+      "P rogram",
+      "Pro gram",
+      "Pr ogram",
+      "Prog ram",
+      "B order",
+      "o or",
+      "oo r",
+      "Ġall owing",
+      "Ġallow ing",
+      "Ġallo wing",
+      "a fter",
+      "af ter",
+      "aft er",
+      "Ġ entries",
+      "Ġen tries",
+      "Ġent ries",
+      "Ġentr ies",
+      "Ġ Maybe",
+      "ĠM aybe",
+      "ĠMay be",
+      "] ).",
+      "]) .",
+      "Ġ Short",
+      "ĠS hort",
+      "ĠSh ort",
+      "ĠSho rt",
+      ") \\",
+      ". now",
+      ".n ow",
+      ".no w",
+      "f riend",
+      "Ġ prefer",
+      "Ġp refer",
+      "Ġpre fer",
+      "Ġpref er",
+      "Ġ GPIO",
+      "ĠG PIO",
+      "ĠGP IO",
+      "ĠGPI O",
+      "o sis",
+      "os is",
+      "osi s",
+      "Ġ GameObject",
+      "ĠGame Object",
+      "Ġ skip",
+      "Ġs kip",
+      "Ġsk ip",
+      "Ġski p",
+      "Ġ competition",
+      "Ġcom petition",
+      "Ġcompet ition",
+      "Ġcompetit ion",
+      "_ match",
+      "_m atch",
+      "_mat ch",
+      "l ications",
+      "lic ations",
+      "lication s",
+      "_ CONT",
+      "_C ONT",
+      "_CON T",
+      "_CO NT",
+      ". groupBox",
+      ".group Box",
+      "Ġ als",
+      "Ġa ls",
+      "Ġal s",
+      "6 66",
+      "66 6",
+      "\" We",
+      "\"W e",
+      "_ eq",
+      "_e q",
+      "l an",
+      "la n",
+      "_ search",
+      "_s earch",
+      "_se arch",
+      "Ġ Music",
+      "ĠM usic",
+      "ĠMus ic",
+      "ĠMu sic",
+      "a sis",
+      "as is",
+      "asi s",
+      "Ġ bind",
+      "Ġb ind",
+      "Ġbi nd",
+      "Ġbin d",
+      "ĠIs land",
+      "ĠIsl and",
+      "r um",
+      "ru m",
+      "( E",
+      "Ġ seat",
+      "Ġs eat",
+      "Ġse at",
+      "Ġsea t",
+      "V ideo",
+      "Vi deo",
+      "Ġ ack",
+      "Ġa ck",
+      "Ġac k",
+      "re ek",
+      "ree k",
+      "={ ()",
+      "={( )",
+      "Ġ rating",
+      "Ġr ating",
+      "Ġrat ing",
+      "Ġra ting",
+      "Ġ restaurant",
+      "Ġrest aurant",
+      "Ġrestaur ant",
+      "Ġrestau rant",
+      "4 56",
+      "45 6",
+      "D EX",
+      "DE X",
+      "( buf",
+      "(b uf",
+      "p ping",
+      "pp ing",
+      "u ality",
+      "ual ity",
+      "uali ty",
+      "Ġ league",
+      "Ġle ague",
+      "1 76",
+      "17 6",
+      "Ġ focused",
+      "Ġf ocused",
+      "Ġfocus ed",
+      "Ġfoc used",
+      "a pon",
+      "ap on",
+      "apo n",
+      "$ data",
+      "$d ata",
+      "CL UD",
+      "CLU D",
+      "CLUD ING",
+      "Ġ absolute",
+      "Ġa bsolute",
+      "Ġabs olute",
+      "Ġabsolut e",
+      "Ġabsol ute",
+      "( query",
+      "(qu ery",
+      "Ġt ells",
+      "Ġtell s",
+      "Ġtel ls",
+      "A ng",
+      "An g",
+      "Ġcomm unities",
+      "Ġcommun ities",
+      "Ġh onest",
+      "Ġhon est",
+      "Ġho nest",
+      "Ġhone st",
+      "o king",
+      "ok ing",
+      "oki ng",
+      "okin g",
+      "Ġa part",
+      "Ġap art",
+      "Ġapar t",
+      "Ġapa rt",
+      "ar ity",
+      "ari ty",
+      "/ $",
+      "_ module",
+      "_m odule",
+      "_mod ule",
+      "Ġ Enc",
+      "ĠE nc",
+      "ĠEn c",
+      ". an",
+      ".a n",
+      ". Config",
+      ".Con fig",
+      "C re",
+      "Cr e",
+      "Ġsh ock",
+      "Ġsho ck",
+      "ĠA rab",
+      "ĠAr ab",
+      "ĠAra b",
+      "I ENT",
+      "IE NT",
+      "/ re",
+      "/r e",
+      "Ġre trie",
+      "Ġret rie",
+      "Ġretr ie",
+      "yc ler",
+      "ycle r",
+      "ycl er",
+      "i sa",
+      "is a",
+      "Ġ Organ",
+      "ĠO rgan",
+      "ĠOr gan",
+      "ĠOrg an",
+      ". graph",
+      ".g raph",
+      ".gr aph",
+      "Ġ í",
+      "ĠB AS",
+      "ĠBA S",
+      "E num",
+      "En um",
+      "Ġ possibly",
+      "Ġposs ibly",
+      "ÑĢ аÐ",
+      "ÑĢа Ð",
+      "Ġ Japanese",
+      "ĠJ apanese",
+      "ĠJapan ese",
+      "Ġ craft",
+      "Ġc raft",
+      "Ġcr aft",
+      "Ġcra ft",
+      "Ġ Place",
+      "ĠP lace",
+      "ĠPl ace",
+      "ĠPla ce",
+      "Ġt alent",
+      "Ġtal ent",
+      "Ġtale nt",
+      "Ġf unding",
+      "Ġfun ding",
+      "Ġfund ing",
+      "Ġ confirmed",
+      "Ġconf irmed",
+      "Ġconfirm ed",
+      "Ġ cycle",
+      "Ġc ycle",
+      "Ġcy cle",
+      "Ġcycl e",
+      "Ġcyc le",
+      "/ x",
+      "G E",
+      "Ġh earing",
+      "Ġhe aring",
+      "Ġhear ing",
+      "Ġ plants",
+      "Ġpl ants",
+      "Ġplan ts",
+      "Ġplant s",
+      "Ġpla nts",
+      "Ġ mouth",
+      "Ġm outh",
+      "Ġmo uth",
+      "Ġmou th",
+      "p ages",
+      "page s",
+      "pa ges",
+      "pag es",
+      "o ria",
+      "or ia",
+      "ori a",
+      "Ġ Remove",
+      "ĠRe move",
+      "ĠRem ove",
+      "_ total",
+      "_t otal",
+      "_to tal",
+      "_tot al",
+      "Ġ od",
+      "Ġo d",
+      "oll apse",
+      "d oor",
+      "do or",
+      "Ġb ought",
+      "Ġbo ught",
+      "Ġbou ght",
+      "Ġ addr",
+      "Ġadd r",
+      "Ġad dr",
+      "AR CH",
+      "ARC H",
+      "_ dim",
+      "_d im",
+      "_di m",
+      "d den",
+      "dd en",
+      "dde n",
+      "Ġdec ades",
+      "Ġdecade s",
+      "Ġdecad es",
+      "RE QUEST",
+      "REQ UEST",
+      "Ġ versions",
+      "Ġv ersions",
+      "Ġversion s",
+      "Ġvers ions",
+      "f ire",
+      "fi re",
+      "fir e",
+      "0 06",
+      "00 6",
+      "Ġ moves",
+      "Ġm oves",
+      "Ġmov es",
+      "Ġmove s",
+      "Ġmo ves",
+      "f b",
+      "Ġ coffee",
+      "Ġc offee",
+      "Ġco ffee",
+      "Ġcoff ee",
+      "Ġcof fee",
+      ". connect",
+      ".con nect",
+      ".conn ect",
+      "Ġ Row",
+      "ĠR ow",
+      "ĠRo w",
+      "Ġ schema",
+      "Ġs chema",
+      "Ġsch ema",
+      "Ġschem a",
+      "Ġsche ma",
+      "S cope",
+      "Sc ope",
+      "- Type",
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+      "Ġside s",
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+      ".Array List",
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+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "Ø ±",
+      ". match",
+      ".m atch",
+      ".mat ch",
+      "л и",
+      "Ġfe els",
+      "Ġfeel s",
+      "Ġfee ls",
+      "Ġachie ve",
+      "Ġach ieve",
+      "Ġc lim",
+      "Ġcl im",
+      "Ġcli m",
+      "_ ON",
+      "_O N",
+      "Ġ CD",
+      "ĠC D",
+      "Ġ teacher",
+      "Ġt eacher",
+      "Ġte acher",
+      "Ġteach er",
+      "Ġtea cher",
+      "_ current",
+      "_c urrent",
+      "_cur rent",
+      "_curr ent",
+      "b n",
+      "_ PL",
+      "_P L",
+      "is ting",
+      "ist ing",
+      "isti ng",
+      "E nable",
+      "En able",
+      "G EN",
+      "GE N",
+      "Ġ tv",
+      "Ġt v",
+      "Ġ sock",
+      "Ġs ock",
+      "Ġso ck",
+      "Ġsoc k",
+      "Ġ plays",
+      "Ġp lays",
+      "Ġpl ays",
+      "Ġplay s",
+      "Ġpla ys",
+      "Ġ discount",
+      "Ġdis count",
+      "Ġdisc ount",
+      "Ġdisco unt",
+      "Ġ KE",
+      "ĠK E",
+      "Ġ Debug",
+      "ĠDe bug",
+      "ĠDeb ug",
+      "F ore",
+      "For e",
+      "Fo re",
+      "Ġ Iraq",
+      "ĠI raq",
+      "ĠIr aq",
+      "Ġ appearance",
+      "Ġap pearance",
+      "Ġappear ance",
+      "M on",
+      "Mo n",
+      "Ġ styled",
+      "Ġst yled",
+      "Ġstyle d",
+      "Ġsty led",
+      "Ġstyl ed",
+      "Ġ Human",
+      "ĠH uman",
+      "ĠHum an",
+      "ĠHu man",
+      "i ot",
+      "io t",
+      "Ġ History",
+      "ĠH istory",
+      "ĠHi story",
+      "ĠHistor y",
+      "ĠHist ory",
+      "Ġs ac",
+      "Ġsa c",
+      "Ġ Collection",
+      "ĠC ollection",
+      "ĠCol lection",
+      "ĠColl ection",
+      "ĠCollect ion",
+      "Ġ recommended",
+      "Ġre commended",
+      "Ġrecomm ended",
+      "Ġrecommend ed",
+      ". Selected",
+      ".Se lected",
+      ".Select ed",
+      "Ġ organizations",
+      "Ġorgan izations",
+      "Ġorganization s",
+      "Ġorganiz ations",
+      "Ġdis covered",
+      "Ġdiscover ed",
+      "co hol",
+      "coh ol",
+      "a das",
+      "ad as",
+      "ada s",
+      "Ġ Thomas",
+      "ĠTh omas",
+      "ĠThom as",
+      "M ay",
+      "Ma y",
+      "Ġcon serv",
+      "Ġcons erv",
+      "Ġconse rv",
+      "Ġd omin",
+      "Ġdo min",
+      "Ġdom in",
+      "Ġ Follow",
+      "ĠF ollow",
+      "ĠFol low",
+      "Ġ Section",
+      "ĠS ection",
+      "ĠSe ction",
+      "ĠSec tion",
+      "ĠSect ion",
+      "Ġ Thanks",
+      "ĠTh anks",
+      "ĠThank s",
+      "ĠThan ks",
+      "User name",
+      "Ġ recipe",
+      "Ġrec ipe",
+      "Ġrecip e",
+      "Ġwonder ful",
+      ". sleep",
+      ".s leep",
+      "_ if",
+      "_i f",
+      "ĉ ĊĉĊ",
+      "ĉĊ ĉĊ",
+      "or no",
+      "orn o",
+      "Ġ ru",
+      "Ġr u",
+      "_ target",
+      "_t arget",
+      "_tar get",
+      ". \"\"",
+      ".\" \"",
+      "à ¦",
+      "Event Args",
+      "Ġ inputs",
+      "Ġin puts",
+      "Ġinput s",
+      "Ġinp uts",
+      "Ġf if",
+      "Ġfi f",
+      "Ġ vision",
+      "Ġv ision",
+      "Ġvis ion",
+      "c y",
+      "Ġ Series",
+      "ĠS eries",
+      "ĠSe ries",
+      "ĠSer ies",
+      "ĠSerie s",
+      ") (((",
+      ")( ((",
+      ")(( (",
+      "Ġtr ading",
+      "Ġtrad ing",
+      "Ġtra ding",
+      "Ġtradi ng",
+      "Ġ marker",
+      "Ġm arker",
+      "Ġmark er",
+      "Ġmar ker",
+      "B egin",
+      "Be gin",
+      "Ġ typically",
+      "Ġtyp ically",
+      "Ġtypical ly",
+      "Ġc auses",
+      "Ġca uses",
+      "Ġcause s",
+      "Ġcaus es",
+      "d ropdown",
+      "drop down",
+      "_ DEBUG",
+      "_DE BUG",
+      "2 60",
+      "26 0",
+      "Ġ detect",
+      "Ġd etect",
+      "Ġdet ect",
+      "c ountry",
+      "count ry",
+      "! \");Ċ",
+      "!\" );Ċ",
+      "!\"); Ċ",
+      "!\") ;Ċ",
+      "ĉ R",
+      "a ppy",
+      "ap py",
+      "app y",
+      "Ġc ref",
+      "Ġcr ef",
+      "Ġcre f",
+      "( '<",
+      "(' <",
+      "\" =>",
+      "Ġ LE",
+      "ĠL E",
+      "re ader",
+      "read er",
+      "rea der",
+      "Ġ administr",
+      "Ġadmin istr",
+      "Ã µ",
+      "u cket",
+      "uc ket",
+      "uck et",
+      "Ġf ashion",
+      ". char",
+      ".c har",
+      ".ch ar",
+      "i zar",
+      "iz ar",
+      "iza r",
+      "Ġ disable",
+      "Ġd isable",
+      "Ġdis able",
+      "Ġs uc",
+      "Ġsu c",
+      "Ġ Live",
+      "ĠL ive",
+      "ĠLi ve",
+      "ĠLiv e",
+      "i ssue",
+      "iss ue",
+      "Ġ metadata",
+      "Ġm etadata",
+      "Ġmet adata",
+      "Ġmeta data",
+      "f lags",
+      "fl ags",
+      "flag s",
+      "Ġ ðŁ",
+      "Ġð Ł",
+      "Ġ committed",
+      "Ġcom mitted",
+      "Ġcomm itted",
+      "Ġcommit ted",
+      "Ġ va",
+      "Ġv a",
+      "Ġ rough",
+      "Ġr ough",
+      "Ġro ugh",
+      "Ġrou gh",
+      "Ġ '''Ċ",
+      "Ġ' ''Ċ",
+      "Ġ'' 'Ċ",
+      "Ġ''' Ċ",
+      "Ġ highlight",
+      "Ġhigh light",
+      "_ vars",
+      "_v ars",
+      "_var s",
+      "_va rs",
+      "V O",
+      "Ġ encoding",
+      "Ġen coding",
+      "Ġenc oding",
+      "- Z",
+      "_ sign",
+      "_s ign",
+      "_sig n",
+      "_si gn",
+      "$ (\"#",
+      "$( \"#",
+      "$(\" #",
+      "Ġ rain",
+      "Ġr ain",
+      "Ġra in",
+      "re atest",
+      "reate st",
+      "reat est",
+      "rea test",
+      "Ġ END",
+      "ĠE ND",
+      "ĠEN D",
+      "S election",
+      "Se lection",
+      "Select ion",
+      "Sel ection",
+      "Sele ction",
+      "Ġ candidates",
+      "Ġc andidates",
+      "Ġcandid ates",
+      "Ġcandidate s",
+      "Ġ sav",
+      "Ġs av",
+      "Ġsa v",
+      ". Empty",
+      "Ġdec isions",
+      "Ġdecision s",
+      "Ġdecis ions",
+      "Ġcoll abor",
+      "r idge",
+      "ri dge",
+      "rid ge",
+      "f eed",
+      "fe ed",
+      "fee d",
+      "r ession",
+      "ress ion",
+      "Ġ persons",
+      "Ġper sons",
+      "Ġperson s",
+      "Ġpers ons",
+      "Ġperso ns",
+      "V M",
+      "0 08",
+      "00 8",
+      "e ga",
+      "eg a",
+      "_ BIT",
+      "_B IT",
+      "A ccording",
+      "Acc ording",
+      "ack ed",
+      "ac ked",
+      "Ġdoll ars",
+      "Ġdollar s",
+      "_ loss",
+      "_l oss",
+      "_lo ss",
+      "Ġ Cost",
+      "ĠC ost",
+      "ĠCo st",
+      "ĠCos t",
+      "} \"Ċ",
+      "}\" Ċ",
+      "Not ification",
+      "Ġpro stit",
+      "Ġpros tit",
+      "Ġprost it",
+      "Ġ authority",
+      "Ġauthor ity",
+      ". rec",
+      ".re c",
+      ".r ec",
+      "Ġsp okes",
+      "Ġspoke s",
+      "Ġspo kes",
+      "Ġ Today",
+      "ĠT oday",
+      "ĠTo day",
+      "ĠTod ay",
+      "i stant",
+      "is tant",
+      "ist ant",
+      "istan t",
+      "ista nt",
+      "Ġ Head",
+      "ĠH ead",
+      "ĠHe ad",
+      "âĢĿ .",
+      "er tainment",
+      "ert ainment",
+      "ertain ment",
+      "c ean",
+      "ce an",
+      "cea n",
+      "c ulate",
+      "cul ate",
+      "cu late",
+      "Ġ ven",
+      "Ġv en",
+      "Ġve n",
+      "How ever",
+      "_ arr",
+      "_a rr",
+      "_ar r",
+      "Ġ tokens",
+      "Ġt okens",
+      "Ġtoken s",
+      "Ġtok ens",
+      "G raph",
+      "Gr aph",
+      "Ġ Jud",
+      "ĠJ ud",
+      "ĠJu d",
+      "Ġ Virgin",
+      "ĠVir gin",
+      "Ġ Serial",
+      "ĠS erial",
+      "ĠSe rial",
+      "ĠSer ial",
+      "un ning",
+      "unn ing",
+      "M utable",
+      "Mu table",
+      "Mut able",
+      "a gers",
+      "ag ers",
+      "age rs",
+      "ager s",
+      ". csv",
+      ".c sv",
+      ".cs v",
+      "Ġdevelop ing",
+      "Ġdevel oping",
+      "Ġ instructions",
+      "Ġin structions",
+      "Ġinstruction s",
+      "Ġinstr uctions",
+      "Ġinstruct ions",
+      "Ġ promise",
+      "Ġp romise",
+      "Ġpro mise",
+      "Ġprom ise",
+      "Ġ requested",
+      "Ġrequest ed",
+      "Ġrequ ested",
+      "_ encode",
+      "_en code",
+      "_enc ode",
+      "/ \"",
+      "Ġ Icon",
+      "ĠI con",
+      "u ilt",
+      "ui lt",
+      "uil t",
+      "- day",
+      "-d ay",
+      "-da y",
+      "Ġ intelligence",
+      "Ġint elligence",
+      "Ġintellig ence",
+      ". IS",
+      ".I S",
+      "Ġ Observable",
+      "ĠO bservable",
+      "ĠObserv able",
+      "Ġ Hard",
+      "ĠH ard",
+      "ĠHar d",
+      "ĠHa rd",
+      "B ool",
+      "Bo ol",
+      "2 11",
+      "21 1",
+      "id ential",
+      "ident ial",
+      ". Anchor",
+      ".An chor",
+      "Ġ selling",
+      "Ġs elling",
+      "Ġsell ing",
+      "Ġsel ling",
+      "C I",
+      "A GES",
+      "AG ES",
+      "AGE S",
+      "t le",
+      "tl e",
+      "b ur",
+      "bu r",
+      "UFF ER",
+      "UF FER",
+      "R Y",
+      "Ġb igger",
+      "Ġbig ger",
+      "Ġbi gger",
+      "Ġ rat",
+      "Ġr at",
+      "Ġra t",
+      "Ġf amous",
+      "Ġfam ous",
+      "Ġ typename",
+      "Ġtype name",
+      "Ġtyp ename",
+      "Ġ explained",
+      "Ġexpl ained",
+      "Ġexplain ed",
+      "} }Ċ",
+      "}} Ċ",
+      "Ġn uclear",
+      "Ġnu clear",
+      "Ġnucle ar",
+      "- N",
+      "Ġcr isis",
+      "Ġcri sis",
+      "Ġcris is",
+      "Ġ Enter",
+      "ĠEn ter",
+      "ĠEnt er",
+      "Ġ answers",
+      "Ġan swers",
+      "Ġanswer s",
+      "Ġans wers",
+      "/ ${",
+      "/$ {",
+      "/ pl",
+      "/p l",
+      "Ġ sequ",
+      "Ġs equ",
+      "Ġse qu",
+      "Ġseq u",
+      "_ next",
+      "_n ext",
+      "_ne xt",
+      "m ask",
+      "ma sk",
+      "mas k",
+      "Ġ standing",
+      "Ġst anding",
+      "Ġstand ing",
+      "Ġstan ding",
+      "Ġpl enty",
+      "Ġple nty",
+      "Ġ Cross",
+      "ĠC ross",
+      "ĠCr oss",
+      "ĠCro ss",
+      "ĠCros s",
+      "ĉ ret",
+      "ĉr et",
+      "ĉre t",
+      "d ro",
+      "dr o",
+      "Ġ Cast",
+      "ĠC ast",
+      "ĠCas t",
+      "ĠCa st",
+      "1 67",
+      "16 7",
+      "= true",
+      "Ġ Chris",
+      "ĠCh ris",
+      "ĠChr is",
+      "i cio",
+      "ic io",
+      "ici o",
+      "Ġ Mike",
+      "ĠM ike",
+      "ĠMi ke",
+      "ĠMik e",
+      "D ecimal",
+      "De cimal",
+      "Dec imal",
+      "add Component",
+      "L en",
+      "Le n",
+      "Ġ cock",
+      "Ġc ock",
+      "Ġco ck",
+      "Ġcoc k",
+      "Ġ #{",
+      "Ġ# {",
+      "U RN",
+      "UR N",
+      "< tr",
+      "<t r",
+      "Ġauthor ities",
+      "Re sources",
+      "Res ources",
+      "Resource s",
+      "- H",
+      "B ottom",
+      "Bot tom",
+      "0 12",
+      "01 2",
+      "_ qu",
+      "_q u",
+      "p uter",
+      "put er",
+      "pu ter",
+      "pute r",
+      "ester day",
+      "Dis patch",
+      "Disp atch",
+      "s ince",
+      "si nce",
+      "sin ce",
+      "Ġf amiliar",
+      "Ġfam iliar",
+      "Ġfamil iar",
+      "Ġfamilia r",
+      ", i",
+      "V C",
+      "Ġ ment",
+      "Ġm ent",
+      "Ġme nt",
+      "Ġmen t",
+      ", C",
+      "Ġfree dom",
+      "Ġfre edom",
+      "Ġfreed om",
+      "Ġ routes",
+      "Ġr outes",
+      "Ġro utes",
+      "Ġroute s",
+      "Ġrout es",
+      "Ġrou tes",
+      "Ġ Buy",
+      "ĠB uy",
+      "ĠBu y",
+      "Ġ commands",
+      "Ġcomm ands",
+      "Ġcommand s",
+      "Ġcomma nds",
+      "Ġ mesh",
+      "Ġm esh",
+      "Ġme sh",
+      "Ġmes h",
+      "/ C",
+      "Ġ Settings",
+      "ĠS ettings",
+      "ĠSet tings",
+      "ĠSetting s",
+      "- style",
+      "-st yle",
+      "Ġw itness",
+      "Ġwit ness",
+      "Ġ cle",
+      "Ġc le",
+      "Ġcl e",
+      "Ġ union",
+      "Ġun ion",
+      "Ġuni on",
+      "e fault",
+      "ef ault",
+      "efa ult",
+      "a ret",
+      "ar et",
+      "are t",
+      "Ġthought s",
+      "Ġthough ts",
+      "Ġ ----",
+      "Ġ- ---",
+      "Ġ-- --",
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+      "Ġrew ard",
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+      "Ġad ds",
+      "Ġentire ly",
+      "Ġ wash",
+      "Ġw ash",
+      "Ġwas h",
+      "Ġwa sh",
+      "/ ************************************************************************",
+      "/**************************************************************** ********",
+      "/******************************** ****************************************",
+      "/************************ ************************************************",
+      "/******************************************************** ****************",
+      "/******** ****************************************************************",
+      "/**************** ********************************************************",
+      "/**************************************** ********************************",
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+      "Ġ animated",
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+      "Ġ currency",
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+      "- mail",
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+      "Ġ ds",
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+      "ĠS ol",
+      "ĠSo l",
+      "Ġ vehicles",
+      "Ġv ehicles",
+      "Ġveh icles",
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+      "H z",
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+      "-c om",
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+      "Ġ# [",
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+      "Ġnov el",
+      "Ġ depart",
+      "Ġde part",
+      "Ġdep art",
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+      "Ġ` ${",
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+      "ot ing",
+      "oti ng",
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+      "Ġc reative",
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+      "Ġcreat ive",
+      "Ġ buff",
+      "Ġb uff",
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+      "Ġbuf f",
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+      "Ġ tip",
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+      "se x",
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+      "Ġsupp orts",
+      "Ġ fold",
+      "Ġf old",
+      "Ġfol d",
+      "Ġfo ld",
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+      "Ġ google",
+      "Ġg oogle",
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+      "Ġgoog le",
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+      "$(' #",
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+      "Ġsh aring",
+      "Ġsha ring",
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+      "Ġ goods",
+      "Ġg oods",
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+      "Ġgood s",
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+      "ĠD an",
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+      "R ate",
+      "Ra te",
+      "Ġ Martin",
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+      "Mo ck",
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+      "Ġ '{",
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+      "Ġ planet",
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+      "Ġship ping",
+      "Ġ battery",
+      "Ġb attery",
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+      "Ġi mpl",
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+      "ĠLa b",
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+      "<f orm",
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+      "_ste p",
+      "an vas",
+      "m ac",
+      "ma c",
+      "Ġtrans l",
+      "Ġtran sl",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "It erator",
+      "Iter ator",
+      "Ġ och",
+      "Ġo ch",
+      "Ġoc h",
+      "ag nostic",
+      "agnost ic",
+      "Ġ During",
+      "ĠD uring",
+      "ĠDu ring",
+      "ĠDur ing",
+      "Ġ DEFAULT",
+      "ĠD EFAULT",
+      "ĠDE FAULT",
+      "Ġt ill",
+      "Ġti ll",
+      "Ġtil l",
+      "Ġ signature",
+      "Ġsign ature",
+      "Ġsig nature",
+      "Ġ bird",
+      "Ġb ird",
+      "Ġbi rd",
+      "Ġbir d",
+      "Ġ Ol",
+      "ĠO l",
+      "3 10",
+      "31 0",
+      "Ġ Ir",
+      "ĠI r",
+      "H S",
+      "av atar",
+      "ava tar",
+      "ESS AGE",
+      "Ġe lev",
+      "Ġel ev",
+      "Ġele v",
+      "Ġ mt",
+      "Ġm t",
+      "Ġ Nav",
+      "ĠN av",
+      "ĠNa v",
+      "Ġrel ax",
+      "Ġ plate",
+      "Ġp late",
+      "Ġpl ate",
+      "Ġpla te",
+      "Ġplat e",
+      "I TEM",
+      "IT EM",
+      "ITE M",
+      "( date",
+      "(d ate",
+      "(dat e",
+      "(da te",
+      ". not",
+      ".n ot",
+      ".no t",
+      "Ġ grade",
+      "Ġg rade",
+      "Ġgr ade",
+      "Ġgrad e",
+      "Ġgra de",
+      "Ġ }),Ċ",
+      "Ġ} ),Ċ",
+      "Ġ}) ,Ċ",
+      "Ġ}), Ċ",
+      "? \"ĊĊ",
+      "?\" ĊĊ",
+      "?\"Ċ Ċ",
+      "i ences",
+      "ie nces",
+      "ience s",
+      "ien ces",
+      "H igh",
+      "Hi gh",
+      "Ġ DIS",
+      "ĠD IS",
+      "ĠDI S",
+      "2 31",
+      "23 1",
+      "dis abled",
+      "disable d",
+      "Q UI",
+      "QU I",
+      "Ġ noise",
+      "Ġn oise",
+      "Ġno ise",
+      "Ġnoi se",
+      "a ux",
+      "au x",
+      "Ġ UP",
+      "ĠU P",
+      "8 88",
+      "88 8",
+      "o sa",
+      "os a",
+      "Ġv oc",
+      "Ġvo c",
+      "Ġ ))",
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+      "Ġspac es",
+      "? ,",
+      "3 84",
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+      "-b ox",
+      "-bo x",
+      "Ġ framework",
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+      "_ keys",
+      "_key s",
+      "_ke ys",
+      "Ġ tables",
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+      "ra dio",
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+      "ĠP ac",
+      "ĠPa c",
+      ". server",
+      ".s erver",
+      ".serv er",
+      ".ser ver",
+      ".Char Field",
+      "r ing",
+      "ri ng",
+      "rin g",
+      "Ġ quote",
+      "Ġqu ote",
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+      "an na",
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+      "Ġwerd en",
+      "Ġwerde n",
+      "Ġ cream",
+      "Ġc ream",
+      "Ġcr eam",
+      "Ġcre am",
+      "Ġcrea m",
+      "Ġm achines",
+      "Ġmachine s",
+      "Ġmach ines",
+      "- k",
+      "3 75",
+      "37 5",
+      "Ġ stim",
+      "Ġs tim",
+      "Ġst im",
+      "Ġ Stock",
+      "ĠSt ock",
+      "ĠSto ck",
+      "r ick",
+      "ri ck",
+      "ric k",
+      "Ġimport ance",
+      "r x",
+      "õ es",
+      "Ù Ī",
+      "Ġ stroke",
+      "Ġst roke",
+      "Ġstr oke",
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+      "a gra",
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+      "Ġta ste",
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+      "Ġ DEBUG",
+      "ĠDE BUG",
+      "Th anks",
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+      "Ġ Required",
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+      "Ġ fileName",
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+      "ome times",
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+      "Ġ backgroundColor",
+      "Ġback groundColor",
+      "Ġbackground Color",
+      "Ġ rotation",
+      "Ġr otation",
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+      "_F ORM",
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+      "Ġ[âĢ¦ ]ĊĊ",
+      "Ġ[âĢ¦] ĊĊ",
+      "Ġ[âĢ¦]Ċ Ċ",
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+      "ĠGui de",
+      "Ġ dates",
+      "Ġd ates",
+      "Ġdate s",
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+      ". Command",
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+      "ĠB each",
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+      ". getMessage",
+      ".get Message",
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+      "En vironment",
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+      "Ġmin ister",
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+      "Ġ EVENT",
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+      "REFER RED",
+      ". Logger",
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+      ".Lo gger",
+      "Ġ Roman",
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+      "ĠRo man",
+      "ĠRoma n",
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+      "fea ture",
+      "p ts",
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+      "b t",
+      "Ġ dot",
+      "Ġd ot",
+      "Ġdo t",
+      "Ġd iam",
+      "Ġdi am",
+      "Ġdia m",
+      "us pend",
+      "usp end",
+      "_ access",
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+      "_ac cess",
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+      "( ){čĊ",
+      "() {čĊ",
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+      "Ġsur prise",
+      "Ġsurpr ise",
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+      "ab il",
+      "abi l",
+      "Ġ virt",
+      "Ġv irt",
+      "Ġvi rt",
+      "Ġvir t",
+      "Ġ bomb",
+      "Ġb omb",
+      "Ġbo mb",
+      "Ġbom b",
+      "a ron",
+      "ar on",
+      "aro n",
+      "_ IS",
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+      "Ġv ast",
+      "Ġva st",
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+      "Re al",
+      "e pend",
+      "ep end",
+      "ic ted",
+      "ict ed",
+      "Ġ picked",
+      "Ġp icked",
+      "Ġpick ed",
+      "Ġpic ked",
+      "Ġ FL",
+      "ĠF L",
+      "Ġ Republicans",
+      "ĠRepublic ans",
+      "ĠRepublican s",
+      ". zeros",
+      ".z eros",
+      ".zero s",
+      "P ressed",
+      "Pr essed",
+      "Press ed",
+      "Pres sed",
+      "s up",
+      "su p",
+      ". Core",
+      ".C ore",
+      ".Co re",
+      ".Cor e",
+      "M icrosoft",
+      "Micro soft",
+      "s ervices",
+      "service s",
+      "serv ices",
+      "ag ic",
+      "agi c",
+      "iv eness",
+      "ive ness",
+      "iven ess",
+      "Ġ pdf",
+      "Ġp df",
+      "Ġpd f",
+      "Ġ roles",
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+      "Ġrole s",
+      "Ġrol es",
+      "4 03",
+      "40 3",
+      "r as",
+      "ra s",
+      "Ġind ustrial",
+      "Ġindust rial",
+      "Ġindustri al",
+      "Ġfac ilities",
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+      "Ġfacil ities",
+      "2 45",
+      "24 5",
+      "è ¡",
+      "Ġ ni",
+      "Ġn i",
+      "Ġ ba",
+      "Ġb a",
+      "Ġ cls",
+      "Ġc ls",
+      "Ġcl s",
+      "ĉ B",
+      "C ustomer",
+      "Custom er",
+      "Ġim agine",
+      "Ġimag ine",
+      "Ġimagin e",
+      "Ġ exports",
+      "Ġex ports",
+      "Ġexp orts",
+      "Ġexport s",
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+      "( de",
+      "(d e",
+      ") {ĊĊ",
+      "){Ċ Ċ",
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+      "Ġcommit tee",
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+      "( client",
+      "(c lient",
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+      "Ġsyn c",
+      "Ġ Na",
+      "ĠN a",
+      "} }</",
+      "}} </",
+      "OL UM",
+      "i té",
+      "it é",
+      "Ġ identifier",
+      "Ġid entifier",
+      "Ġident ifier",
+      "o wed",
+      "ow ed",
+      "owe d",
+      "Ġ extent",
+      "Ġex tent",
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+      "Ġ hur",
+      "Ġh ur",
+      "Ġhu r",
+      "V A",
+      "c lar",
+      "cl ar",
+      "cla r",
+      "Ġ edges",
+      "Ġed ges",
+      "Ġedge s",
+      "C riteria",
+      "Crit eria",
+      "Ġind eed",
+      "Ġinde ed",
+      "in herit",
+      "Ġ Night",
+      "ĠN ight",
+      "ĠNi ght",
+      "3 02",
+      "30 2",
+      "Ġreport ing",
+      "Ġrep orting",
+      "Ġen counter",
+      "Ġenc ounter",
+      "Ġencount er",
+      "Ġk inds",
+      "Ġkind s",
+      "Ġki nds",
+      "Ġkin ds",
+      "_ pred",
+      "_p red",
+      "_pr ed",
+      "_pre d",
+      "Ġconsider ing",
+      "Ġconsid ering",
+      ". (",
+      "Ġ protein",
+      "Ġp rotein",
+      "Ġpro tein",
+      "Ġprot ein",
+      "Ġprote in",
+      "T yp",
+      "Ty p",
+      "gr icult",
+      "Ġ Ball",
+      "ĠB all",
+      "ĠBa ll",
+      "ĠBal l",
+      "@ Component",
+      "Ġ Ess",
+      "ĠE ss",
+      "ĠEs s",
+      "Ġ Rub",
+      "ĠR ub",
+      "ĠRu b",
+      "8 02",
+      "80 2",
+      "u lp",
+      "ul p",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "it ud",
+      "itu d",
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+      "i ente",
+      "ie nte",
+      "ient e",
+      "ien te",
+      "Ġ spell",
+      "Ġs pell",
+      "Ġsp ell",
+      "Ġspe ll",
+      "Ġspel l",
+      "Ġ Joe",
+      "ĠJ oe",
+      "ĠJo e",
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+      "Ġmat ters",
+      "Ġmatt ers",
+      "Ġmatte rs",
+      "Ġ emergency",
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+      "Ġ Chat",
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+      "Ġ *(",
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+      ".c olumn",
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+      "Ġm arked",
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+      "_ATT R",
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+      "Ġ IMPLIED",
+      "ĠIM PLIED",
+      "G ap",
+      "Ga p",
+      "Ġ POST",
+      "ĠP OST",
+      "ĠPO ST",
+      "ĠPOS T",
+      "Ġcor porate",
+      "Ġcorpor ate",
+      "Ġcorp orate",
+      "Ġcorpo rate",
+      "Ġ dimension",
+      "Ġd imension",
+      "Ġdim ension",
+      "Ġ contrast",
+      "Ġcontr ast",
+      "Ġcontra st",
+      "er view",
+      "erv iew",
+      "Ġ ERROR",
+      "ĠERR OR",
+      "Ġcap able",
+      "Ġad vertising",
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+      "urch ase",
+      "Ġ PA",
+      "ĠP A",
+      "ĠFranc isco",
+      "ĠFrancis co",
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+      "Ġfa cing",
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+      "ãĢ Į",
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+      "Ġbee r",
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+      "Ġcriter ia",
+      "Ġ parseInt",
+      "Ġparse Int",
+      "` ,Ċ",
+      "`, Ċ",
+      "Ġ aspect",
+      "Ġa spect",
+      "Ġas pect",
+      "Ġasp ect",
+      "Ġ bundle",
+      "Ġb undle",
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+      "Ġbun dle",
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+      "Ġta nk",
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+      "-i d",
+      "Ġh urt",
+      "Ġhur t",
+      "Ġhu rt",
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+      "Ġb roadcast",
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+      "O KEN",
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+      "ow nt",
+      "own t",
+      "null able",
+      "C ap",
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+      "Ġal cohol",
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+      "ĠC oll",
+      "ĠCo ll",
+      "ĠCol l",
+      "Ġ Helper",
+      "ĠH elper",
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+      "ĠHel per",
+      "Ġ Af",
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+      ".m ethod",
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+      "ple r",
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+      "ĠSit e",
+      "Ġre sc",
+      "Ġr esc",
+      "Ġres c",
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+      "om ent",
+      "ome nt",
+      "omen t",
+      "Ġ JavaScript",
+      "ĠJava Script",
+      "S ERVER",
+      "SER VER",
+      "Ġ rhs",
+      "Ġr hs",
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+      "e res",
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+      "ere s",
+      "( \",",
+      "(\" ,",
+      "i fi",
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+      ".f ields",
+      ".field s",
+      "Ġp arking",
+      "Ġpar king",
+      "Ġpark ing",
+      "Ġis land",
+      "Ġisl and",
+      "Ġs ister",
+      "Ġsi ster",
+      "Ġsist er",
+      "Ġsis ter",
+      "_ Ċ",
+      "Con straints",
+      "Constraint s",
+      "ĠA ust",
+      "ĠAus t",
+      "ĠAu st",
+      "d im",
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+      "Ġvo or",
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+      "Ba g",
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+      "-sc ale",
+      "-scal e",
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+      "r ule",
+      "ru le",
+      "Ġ owned",
+      "Ġown ed",
+      "Ġow ned",
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+      "Ġest imated",
+      "Ġestim ated",
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+      "Ġim proved",
+      "Ġimpro ved",
+      "Ġimprove d",
+      "Ġimpr oved",
+      "Ġimprov ed",
+      "D uration",
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+      "Ġpix el",
+      "Ġ adapter",
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+      "Ġadapt er",
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+      "Ġre venue",
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+      "Ġ LA",
+      "ĠL A",
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+      "ĠM achine",
+      "ĠMa chine",
+      "ĠMach ine",
+      "Ġ ا",
+      "ĠØ §",
+      "Ġf le",
+      "Ġfl e",
+      "Ġ bike",
+      "Ġb ike",
+      "Ġbi ke",
+      "Ġbik e",
+      "In sets",
+      "Ins ets",
+      "Inset s",
+      "Ġ disp",
+      "Ġd isp",
+      "Ġdis p",
+      "Ġdi sp",
+      "Ġ consistent",
+      "Ġcons istent",
+      "Ġconsist ent",
+      "a ção",
+      "aç ão",
+      "g ender",
+      "ge nder",
+      "gen der",
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+      "gende r",
+      "Ġ Those",
+      "ĠTh ose",
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+      ". BackColor",
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+      ".pl ay",
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+      "Ġr ush",
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+      "Ġrus h",
+      "Ġ axios",
+      "Ġax ios",
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+      "Ġn eck",
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+      "Ġhi ts",
+      "Ġ âĤ¬",
+      "Ġâ Ĥ¬",
+      "ĠâĤ ¬",
+      "Ġ contained",
+      "Ġcont ained",
+      "Ġcontain ed",
+      "Ġconta ined",
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+      "Ġ$ (\".",
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+      "Ġtec h",
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+      "Ġ legend",
+      "Ġl egend",
+      "Ġle gend",
+      "Ġleg end",
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+      "Im g",
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+      "Ġext end",
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+      "ĉ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĉĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĉĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĉĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠ Ġ",
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+      "######## ########################################################",
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+      "################################ ################################",
+      "################################################ ################",
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+      "31 2",
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+      "kee p",
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+      "Ġp ued",
+      "Ġpu ed",
+      "Ġ mini",
+      "Ġm ini",
+      "Ġmin i",
+      "Ġmi ni",
+      "c ollection",
+      "col lection",
+      "coll ection",
+      "collect ion",
+      "Ġ kan",
+      "Ġk an",
+      "Ġka n",
+      ". center",
+      ".c enter",
+      ".cent er",
+      "H istory",
+      "Hi story",
+      "Histor y",
+      "Hist ory",
+      "Ġ bench",
+      "Ġb ench",
+      "Ġben ch",
+      "( ));",
+      "() );",
+      "()) ;",
+      "it ories",
+      "itor ies",
+      "ito ries",
+      "itori es",
+      "Ġcrow d",
+      "Ġcro wd",
+      "_ call",
+      "_c all",
+      "_cal l",
+      "_ca ll",
+      "Ġ powers",
+      "Ġp owers",
+      "Ġpower s",
+      "Ġpo wers",
+      "Ġpow ers",
+      "- E",
+      "Ġ dismiss",
+      "Ġdis miss",
+      "Ġtalk s",
+      "Ġtal ks",
+      "Ġ Channel",
+      "ĠCh annel",
+      "ĠChan nel",
+      "for ward",
+      "_ control",
+      "_c ontrol",
+      "_cont rol",
+      "_contr ol",
+      "/ src",
+      "/s rc",
+      "i est",
+      "ies t",
+      "ie st",
+      "**** ********************",
+      "******** ****************",
+      "**************** ********",
+      "******************** ****",
+      "************ ************",
+      "Ġ beta",
+      "Ġb eta",
+      "Ġbe ta",
+      "Ġbet a",
+      "( color",
+      "(c olor",
+      "(co lor",
+      "(col or",
+      "_ OBJECT",
+      "_O BJECT",
+      "_OBJ ECT",
+      "Ġ Api",
+      "ĠA pi",
+      "ĠAp i",
+      "Ġeffect ively",
+      "Ġeffective ly",
+      "C amera",
+      "Cam era",
+      "s d",
+      "us sy",
+      "uss y",
+      "2 90",
+      "29 0",
+      "D ict",
+      "Di ct",
+      "Dic t",
+      "Ġ Effect",
+      "ĠE ffect",
+      "ĠEff ect",
+      "ĠEf fect",
+      "ib ilities",
+      "ibil ities",
+      "ibilit ies",
+      "ibili ties",
+      "Ġreturn ing",
+      "Ġret urning",
+      "Ġ Far",
+      "ĠF ar",
+      "ĠFa r",
+      "Ġ' ')",
+      "Ġ'' )",
+      "Ġ modules",
+      "Ġmod ules",
+      "Ġmodule s",
+      "2 19",
+      "21 9",
+      "i lation",
+      "il ation",
+      "ila tion",
+      "Ġ (%",
+      "Ġ( %",
+      "TR GL",
+      "Ġ storm",
+      "Ġst orm",
+      "Ġstor m",
+      "Ġsto rm",
+      "on na",
+      "onn a",
+      "Ġ EXP",
+      "ĠE XP",
+      "ĠEX P",
+      "Ġs pons",
+      "Ġsp ons",
+      "Ġspo ns",
+      "Ġdis pl",
+      "Ġdi spl",
+      "Ġdisp l",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "f all",
+      "fa ll",
+      "fal l",
+      "å Į",
+      "ign Key",
+      "_ US",
+      "_U S",
+      "et rics",
+      "etric s",
+      "etr ics",
+      "etri cs",
+      "Ġ handles",
+      "Ġh andles",
+      "Ġhand les",
+      "Ġhandle s",
+      "T L",
+      "_ amount",
+      "_a mount",
+      "_am ount",
+      "o wa",
+      "ow a",
+      "b rand",
+      "br and",
+      "bra nd",
+      "Ġ Tool",
+      "ĠT ool",
+      "ĠTo ol",
+      "ĠToo l",
+      "Ġ usual",
+      "Ġus ual",
+      "Ġusu al",
+      ". Z",
+      "c rement",
+      "cre ment",
+      "cr ement",
+      "ad ium",
+      "adi um",
+      "st ock",
+      "sto ck",
+      "Ġs erving",
+      "Ġser ving",
+      "Ġserv ing",
+      "Ġservi ng",
+      "Ġ Bon",
+      "ĠB on",
+      "ĠBo n",
+      "Ġ linear",
+      "Ġl inear",
+      "Ġli near",
+      "Ġline ar",
+      "Ġlin ear",
+      "Ġlinea r",
+      "Ġ Target",
+      "ĠT arget",
+      "ĠTar get",
+      "Ġ Radio",
+      "ĠR adio",
+      "ĠRa dio",
+      "ĠRad io",
+      "ĠRadi o",
+      "H L",
+      "Sh ader",
+      "Sha der",
+      "o matic",
+      "om atic",
+      "oma tic",
+      "omat ic",
+      "ag ues",
+      "ague s",
+      "agu es",
+      "in ity",
+      "init y",
+      "ini ty",
+      "d iff",
+      "di ff",
+      "dif f",
+      "_ iterator",
+      "_iter ator",
+      "_it erator",
+      "qu ot",
+      "quo t",
+      "Ġ ,Ċ",
+      "Ġ, Ċ",
+      "c allback",
+      "call back",
+      "Ġsym ptoms",
+      "Ġsympt oms",
+      "Ġsymptom s",
+      "[ _",
+      "ĠB ul",
+      "ĠBu l",
+      "Ġ Feb",
+      "ĠF eb",
+      "ĠFe b",
+      "u ndo",
+      "un do",
+      "und o",
+      "_ account",
+      "_a ccount",
+      "_ac count",
+      "_acc ount",
+      "Ġ typedef",
+      "Ġtype def",
+      "Ġtyp edef",
+      "Ġtyped ef",
+      "и Ñģ",
+      "t ras",
+      "tr as",
+      "tra s",
+      "User Id",
+      "Ġ Penn",
+      "ĠP enn",
+      "ĠPe nn",
+      "ĠPen n",
+      "ĠSup reme",
+      "} >",
+      "user Id",
+      "3 27",
+      "32 7",
+      "Ġ Kim",
+      "ĠK im",
+      "ĠKi m",
+      "Ġ ga",
+      "Ġg a",
+      "Ġ artists",
+      "Ġart ists",
+      "Ġartist s",
+      "å ¸",
+      "Ġ Abstract",
+      "ĠA bstract",
+      "ĠAb stract",
+      "ĠAbs tract",
+      "ok emon",
+      "oke mon",
+      "Ġ ham",
+      "Ġh am",
+      "Ġha m",
+      "o val",
+      "ov al",
+      "ova l",
+      "Ġ cha",
+      "Ġc ha",
+      "Ġch a",
+      "a ten",
+      "at en",
+      "ate n",
+      "å Ĩ",
+      "F ixed",
+      "Fi xed",
+      "Fix ed",
+      "Ġv ulner",
+      "Ġvul ner",
+      "Ġ Parameters",
+      "ĠParam eters",
+      "ĠParameter s",
+      "qu antity",
+      "quant ity",
+      "qua ntity",
+      ". Clear",
+      ".C lear",
+      ".Cl ear",
+      "Servlet Request",
+      "Ġ ya",
+      "Ġy a",
+      "Ġs oul",
+      "Ġso ul",
+      "Ġsou l",
+      "0 80",
+      "08 0",
+      "trans action",
+      "Ġs olo",
+      "Ġso lo",
+      "Ġsol o",
+      "Ġ pairs",
+      "Ġp airs",
+      "Ġpair s",
+      "Ġpa irs",
+      "Ġpai rs",
+      "æ Ķ",
+      "Ġ Gre",
+      "ĠG re",
+      "ĠGr e",
+      "_ word",
+      "_w ord",
+      "_wo rd",
+      "Ġ CC",
+      "ĠC C",
+      "Ġ gi",
+      "Ġg i",
+      "z ie",
+      "zi e",
+      "Ġ scheduled",
+      "Ġs cheduled",
+      "Ġsched uled",
+      "Ġschedule d",
+      "r otation",
+      "rot ation",
+      "gy pt",
+      "ul ous",
+      "ulo us",
+      ": :_",
+      ":: _",
+      "Ġ Ell",
+      "ĠE ll",
+      "ĠEl l",
+      "< !",
+      "ĉ ĉĠĠ",
+      "ĉĉ ĠĠ",
+      "ĉĉĠ Ġ",
+      "l p",
+      "a ha",
+      "ah a",
+      "C opyright",
+      "Copy right",
+      "0 09",
+      "00 9",
+      "Ġd ram",
+      "Ġdr am",
+      "Ġdra m",
+      "2 51",
+      "25 1",
+      "Ġdi agram",
+      "Ġdia gram",
+      "Ġdiag ram",
+      "Ġ Mem",
+      "ĠM em",
+      "ĠMe m",
+      "Ġg arden",
+      "Ġgar den",
+      "Ġgard en",
+      "C omp",
+      "Com p",
+      "Co mp",
+      "Ġat tempts",
+      "Ġattempt s",
+      "uff ix",
+      "uf fix",
+      "> ()",
+      ">( )",
+      "Ġphil osoph",
+      "_ rel",
+      "_re l",
+      "_r el",
+      "å ¼",
+      "Ġ sv",
+      "Ġs v",
+      ". second",
+      ".se cond",
+      ".sec ond",
+      "an to",
+      "ant o",
+      ". Json",
+      ".J son",
+      "Ġ Tele",
+      "ĠT ele",
+      "ĠTe le",
+      "ĠTel e",
+      "_ local",
+      "_l ocal",
+      "_lo cal",
+      "_loc al",
+      "_ send",
+      "_s end",
+      "_se nd",
+      "Ġas pects",
+      "Ġaspect s",
+      "Ġasp ects",
+      "ì Ĺ",
+      "I BLE",
+      "IB LE",
+      "Ġ rail",
+      "Ġr ail",
+      "Ġra il",
+      "Ġwide ly",
+      "Ġwid ely",
+      "a shed",
+      "as hed",
+      "ash ed",
+      "i ar",
+      "ia r",
+      "i nf",
+      "in f",
+      "u pper",
+      "up per",
+      "upp er",
+      "uppe r",
+      "d jango",
+      "dj ango",
+      "_ results",
+      "_res ults",
+      "_result s",
+      "is sing",
+      "iss ing",
+      "Ġequ ivalent",
+      "Ġequival ent",
+      "Ġequiv alent",
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+      "IRS T",
+      "Ġd iscrim",
+      "Ġdisc rim",
+      "Ġcomp ens",
+      "greg ate",
+      "gre gate",
+      "an cell",
+      "ance ll",
+      "anc ell",
+      "ancel l",
+      "a ches",
+      "ac hes",
+      "ach es",
+      "ache s",
+      "Ġ Criteria",
+      "ĠC riteria",
+      "ĠCrit eria",
+      "$ result",
+      "$res ult",
+      "D estroy",
+      "De stroy",
+      "Dest roy",
+      "Ġ secondary",
+      "Ġsecond ary",
+      "W atch",
+      "Wat ch",
+      "Ġ Sem",
+      "ĠS em",
+      "ĠSe m",
+      "Ġ McC",
+      "ĠMc C",
+      "Ġ academic",
+      "Ġac ademic",
+      "Ġacad emic",
+      "U pper",
+      "Up per",
+      ":: ~",
+      "ut ral",
+      "utra l",
+      "utr al",
+      "Ġ Dog",
+      "ĠD og",
+      "ĠDo g",
+      "a ded",
+      "ad ed",
+      "ade d",
+      "2 37",
+      "23 7",
+      "Valid ator",
+      "Ġ derived",
+      "Ġder ived",
+      "Ġderiv ed",
+      "Ġderive d",
+      "Ġ setTimeout",
+      "Ġset Timeout",
+      "ĠsetTime out",
+      "Ġ Ken",
+      "ĠK en",
+      "ĠKe n",
+      "Ġt ypical",
+      "Ġtyp ical",
+      "Ġ Bob",
+      "ĠB ob",
+      "ĠBo b",
+      "Ġ bounds",
+      "Ġb ounds",
+      "Ġbo unds",
+      "Ġbound s",
+      "Ġbou nds",
+      "Ġ Season",
+      "ĠSe ason",
+      "ĠSea son",
+      "ĠSeas on",
+      "Ġc razy",
+      "Ġcr azy",
+      "Ġcra zy",
+      "Ġcraz y",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "- router",
+      "-r outer",
+      "-ro uter",
+      "-route r",
+      "it test",
+      "itt est",
+      "itte st",
+      "Ġ Mir",
+      "ĠM ir",
+      "ĠMi r",
+      "Ġem otional",
+      "Ġemot ional",
+      "Ġemotion al",
+      ", v",
+      "c n",
+      "/ st",
+      "/s t",
+      "å ½",
+      "o nom",
+      "on om",
+      "ono m",
+      "Ġde clared",
+      "Ġdecl ared",
+      "Ġdeclar ed",
+      "Ġdeclare d",
+      "> .",
+      "a iling",
+      "ail ing",
+      "ai ling",
+      "Ġ/* <<<",
+      "Ġ normally",
+      "Ġnormal ly",
+      "Ġnorm ally",
+      "( Me",
+      "(M e",
+      "e vin",
+      "ev in",
+      "evi n",
+      "like ly",
+      "lik ely",
+      "Ġp ointed",
+      "Ġpoint ed",
+      "Ġ Stack",
+      "ĠSt ack",
+      "ĠSta ck",
+      "Ġ walls",
+      "Ġw alls",
+      "Ġwall s",
+      "Ġwal ls",
+      ". Vector",
+      ".V ector",
+      "m ean",
+      "me an",
+      "] ]Ċ",
+      "]] Ċ",
+      "Ġ listening",
+      "Ġlist ening",
+      "Ġlisten ing",
+      "Ġliste ning",
+      "a dv",
+      "ad v",
+      "Ġ swap",
+      "Ġs wap",
+      "Ġsw ap",
+      "I FT",
+      "IF T",
+      "Ø ª",
+      ". argv",
+      ".ar gv",
+      ".arg v",
+      "u ls",
+      "ul s",
+      "< option",
+      "not ations",
+      "notation s",
+      "Ġ emails",
+      "Ġem ails",
+      "Ġemail s",
+      "ĠU kr",
+      "ĠUk r",
+      "a sta",
+      "as ta",
+      "ast a",
+      "Ġ Thus",
+      "ĠT hus",
+      "ĠTh us",
+      "ĠThu s",
+      "Ġ Stone",
+      "ĠS tone",
+      "ĠSt one",
+      "ĠSton e",
+      "ĠSto ne",
+      "Ġappe al",
+      ". âĢĻ",
+      "Ġreg ulations",
+      "Ġregul ations",
+      "Ġregulation s",
+      "P references",
+      "Pre ferences",
+      "Preference s",
+      "Ġ Phone",
+      "ĠP hone",
+      "ĠPh one",
+      "ĠPhon e",
+      "u lf",
+      "ul f",
+      "Ġ DR",
+      "ĠD R",
+      "Ġtechn ologies",
+      "Ġtechnolog ies",
+      "Ġ paragraph",
+      "Ġpar agraph",
+      "Ġpara graph",
+      "Ġn ecessarily",
+      "Ġnecess arily",
+      "3 70",
+      "37 0",
+      "0 30",
+      "03 0",
+      ". each",
+      ".e ach",
+      "< float",
+      "<f loat",
+      "r esa",
+      "re sa",
+      "res a",
+      "Ġunder st",
+      "Ġunders t",
+      "Ġunde rst",
+      "Ġ finger",
+      "Ġf inger",
+      "Ġfin ger",
+      "Ġfi nger",
+      "Ġfing er",
+      "p ressed",
+      "pr essed",
+      "press ed",
+      "pres sed",
+      "- by",
+      "-b y",
+      "i ffer",
+      "if fer",
+      "iff er",
+      "iffe r",
+      "w atch",
+      "wat ch",
+      "Ġ Ba",
+      "ĠB a",
+      "A IM",
+      "AI M",
+      "Ġ weights",
+      "Ġwe ights",
+      "Ġweight s",
+      "Ġweigh ts",
+      "Ġ Ron",
+      "ĠR on",
+      "ĠRo n",
+      "' )}}",
+      "') }}",
+      "')} }",
+      "[ self",
+      "[s elf",
+      "- ---------Ċ",
+      "-- --------Ċ",
+      "---- ------Ċ",
+      "-------- --Ċ",
+      "--- -------Ċ",
+      "----- -----Ċ",
+      "---------- Ċ",
+      "------ ----Ċ",
+      "------- ---Ċ",
+      "--------- -Ċ",
+      "per iment",
+      "peri ment",
+      "Ġ toString",
+      "Ġto String",
+      "x ic",
+      "xi c",
+      "Ġ Camera",
+      "ĠC amera",
+      "ĠCam era",
+      "ĠCame ra",
+      "! ĊĊĊĊ",
+      "!ĊĊ ĊĊ",
+      "!Ċ ĊĊĊ",
+      "!ĊĊĊ Ċ",
+      "au rant",
+      "aur ant",
+      "aura nt",
+      "P refix",
+      "Pre fix",
+      "Pref ix",
+      "Ġin stitutions",
+      "Ġinstit utions",
+      "Ġinstitution s",
+      ": int",
+      ":i nt",
+      "Ġex posure",
+      "Ġexpos ure",
+      "Ġexpo sure",
+      "p attern",
+      "pat tern",
+      "Ġ Linux",
+      "ĠL inux",
+      "ĠLin ux",
+      ". number",
+      ".n umber",
+      ".num ber",
+      "red ient",
+      "redi ent",
+      "Argument Exception",
+      "Ġ Chief",
+      "ĠCh ief",
+      "ĠChi ef",
+      "\" },",
+      "\"} ,",
+      "Ġelect ronic",
+      "Ġelectron ic",
+      "Ġelectro nic",
+      "Ġelectr onic",
+      "r ong",
+      "ro ng",
+      "ron g",
+      "e rd",
+      "er d",
+      "s pNet",
+      "sp Net",
+      "r ait",
+      "ra it",
+      "rai t",
+      "/ ',",
+      "/' ,",
+      "Ġ Ohio",
+      "ĠOh io",
+      "Cont rollers",
+      "Controller s",
+      "Control lers",
+      "Ġcontin uing",
+      "Ġcontinu ing",
+      "Ġ Template",
+      "ĠT emplate",
+      "ĠTem plate",
+      "ĠTemp late",
+      "ĠTempl ate",
+      "Ġ Eth",
+      "ĠE th",
+      "ĠEt h",
+      "s z",
+      "/ env",
+      "/en v",
+      "/e nv",
+      "E nv",
+      "En v",
+      "% .",
+      "ar ters",
+      "art ers",
+      "arter s",
+      "arte rs",
+      ") ((",
+      ")( (",
+      "Ġ TABLE",
+      "ĠT ABLE",
+      "ĠTA BLE",
+      "ĠTAB LE",
+      "Ġ î",
+      "ĠÃ ®",
+      "per ature",
+      "pro gress",
+      "prog ress",
+      "P res",
+      "Pr es",
+      "Pre s",
+      "ê °",
+      "im plementation",
+      "imple mentation",
+      "implement ation",
+      "Ġb ien",
+      "Ġbi en",
+      "Ġstre ets",
+      "Ġstreet s",
+      "_ MSG",
+      "_M SG",
+      "_MS G",
+      "N ews",
+      "New s",
+      "Ne ws",
+      "# ##",
+      "## #",
+      ": /",
+      "Ġc utting",
+      "Ġcut ting",
+      "x B",
+      "r essed",
+      "res sed",
+      "ress ed",
+      "resse d",
+      "_ ENABLE",
+      "_EN ABLE",
+      "l ab",
+      "la b",
+      "Ġca using",
+      "Ġcaus ing",
+      "] ));Ċ",
+      "]) );Ċ",
+      "])) ;Ċ",
+      "])); Ċ",
+      "b ra",
+      "br a",
+      "x FFFF",
+      "xFF FF",
+      "xF FFF",
+      "xFFF F",
+      "il ly",
+      "ill y",
+      "p letion",
+      "ple tion",
+      "plet ion",
+      "w ill",
+      "wi ll",
+      "wil l",
+      "_ bar",
+      "_b ar",
+      "Ġ structures",
+      "Ġstruct ures",
+      "Ġstructure s",
+      "Ġ Imp",
+      "ĠI mp",
+      "ĠIm p",
+      "Û Į",
+      "Ġ <>",
+      "Ġ< >",
+      "Ġ ----------------",
+      "Ġ- ---------------",
+      "Ġ-- --------------",
+      "Ġ---- ------------",
+      "Ġ--- -------------",
+      "Ġ------------ ----",
+      "Ġ----- -----------",
+      "Ġ---------- ------",
+      "Ġ------ ----------",
+      "Ġ-------- --------",
+      "Ġ------- ---------",
+      "Ġ--------- -------",
+      "Ġ----------- -----",
+      "Ġ------------- ---",
+      "_ BUFFER",
+      "_B UFFER",
+      "_BUF FER",
+      "_BUFF ER",
+      ". dir",
+      ".d ir",
+      ".di r",
+      "Ġ plain",
+      "Ġp lain",
+      "Ġpl ain",
+      "Ġpla in",
+      "Ġ peer",
+      "Ġp eer",
+      "Ġpe er",
+      "Ġpee r",
+      "2 49",
+      "24 9",
+      "g g",
+      "o ints",
+      "oint s",
+      "oin ts",
+      "oi nts",
+      "Ġsome what",
+      "Ġsom ewhat",
+      "Ġsomew hat",
+      "Ġw et",
+      "Ġwe t",
+      "Ġ employment",
+      "Ġem ployment",
+      "Ġemploy ment",
+      "Ġemp loyment",
+      "Ġ tickets",
+      "Ġt ickets",
+      "Ġtick ets",
+      "Ġticket s",
+      "i rms",
+      "ir ms",
+      "irm s",
+      "Ġ tuple",
+      "Ġt uple",
+      "Ġtu ple",
+      "Ġtup le",
+      "s is",
+      "si s",
+      "$ sql",
+      "$s ql",
+      "r ig",
+      "ri g",
+      "Ġ conversion",
+      "Ġcon version",
+      "Ġconv ersion",
+      "Ġconvers ion",
+      "Ġ ges",
+      "Ġg es",
+      "Ġge s",
+      "Ġ configure",
+      "Ġcon figure",
+      "Ġconfig ure",
+      "Ġconf igure",
+      "Ġconfigur e",
+      "e gr",
+      "eg r",
+      "Ġ Ca",
+      "ĠC a",
+      "Ġ __('",
+      "Ġ_ _('",
+      "Ġ__ ('",
+      "Ġ__( '",
+      "ou ston",
+      "ous ton",
+      "oust on",
+      ". token",
+      ".t oken",
+      ".to ken",
+      "B lack",
+      "Bl ack",
+      "Ġmag azine",
+      "A W",
+      ". IN",
+      ".I N",
+      "o sing",
+      "os ing",
+      "osi ng",
+      "Ġb roke",
+      "Ġbr oke",
+      "Ġbro ke",
+      "ĠC ru",
+      "ĠCr u",
+      "DE LETE",
+      "Ġdestroy ed",
+      "( Math",
+      "(M ath",
+      "(Mat h",
+      "Ġ approval",
+      "Ġappro val",
+      "- dom",
+      "-d om",
+      "-do m",
+      "Ġ III",
+      "ĠI II",
+      "ĠII I",
+      "t ableView",
+      "table View",
+      "Ġdesign s",
+      "Ġcr ushing",
+      "Ġcrush ing",
+      "Ġcon sent",
+      "Ġcons ent",
+      "Ġconse nt",
+      "dir name",
+      "o mp",
+      "om p",
+      "Ġ crypt",
+      "Ġc rypt",
+      "Ġcry pt",
+      "? (",
+      "o rough",
+      "or ough",
+      "oro ugh",
+      "3 07",
+      "30 7",
+      ". o",
+      "ĉ list",
+      "ĉl ist",
+      "ams ung",
+      ". \"\"\"Ċ",
+      ".\" \"\"Ċ",
+      ".\"\" \"Ċ",
+      ".\"\"\" Ċ",
+      "er ring",
+      "err ing",
+      "G oogle",
+      "Go ogle",
+      "_ pair",
+      "_p air",
+      "_pa ir",
+      "_ INIT",
+      "_IN IT",
+      "r emarks",
+      "re marks",
+      "rem arks",
+      "remark s",
+      "Ġ gear",
+      "Ġg ear",
+      "Ġge ar",
+      "F ill",
+      "Fi ll",
+      "Fil l",
+      "l ife",
+      "li fe",
+      "lif e",
+      "} \")Ċ",
+      "}\" )Ċ",
+      "}\") Ċ",
+      "Ġs uitable",
+      "Ġsu itable",
+      "Ġsuit able",
+      "Ġsui table",
+      "Ġsurpr ised",
+      "Ġsurprise d",
+      "_ REQUEST",
+      "_RE QUEST",
+      "_REQ UEST",
+      "Ġ manifest",
+      "Ġman ifest",
+      "at ten",
+      "att en",
+      "atte n",
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+      "o vement",
+      "ov ement",
+      "ove ment",
+      ". click",
+      ".c lick",
+      ".cl ick",
+      ".cli ck",
+      "Ġ ii",
+      "Ġi i",
+      "Ġexp ansion",
+      "Ġexpans ion",
+      "i gs",
+      "ig s",
+      "P arse",
+      "Par se",
+      ". Regular",
+      ".Reg ular",
+      "R ob",
+      "Ro b",
+      "_ layout",
+      "_l ayout",
+      "ì ł",
+      "Ġ translation",
+      "Ġtrans lation",
+      "Ġtransl ation",
+      "ĠBe aut",
+      "ĠBea ut",
+      "ĠBeau t",
+      "B est",
+      "Be st",
+      "Bes t",
+      "_ COLOR",
+      "_C OLOR",
+      "_COL OR",
+      "< label",
+      "<l abel",
+      "Ġ liquid",
+      "Ġl iquid",
+      "Ġliqu id",
+      "I TS",
+      "IT S",
+      "Ġ prod",
+      "Ġp rod",
+      "Ġpro d",
+      "Ġpr od",
+      "2 39",
+      "23 9",
+      "Ġ operate",
+      "Ġo perate",
+      "Ġop erate",
+      "Ġoper ate",
+      "Ġopera te",
+      "UI Kit",
+      "Ġn atur",
+      "Ġna tur",
+      "Ġnat ur",
+      "arg ument",
+      "_ detail",
+      "_d etail",
+      "_de tail",
+      "_det ail",
+      "Ġ Centre",
+      "ĠC entre",
+      "ĠCent re",
+      "Ġ \"--",
+      "Ġ\" --",
+      "Ġ\"- -",
+      "Ġ }}\"",
+      "Ġ} }\"",
+      "Ġ}} \"",
+      "l ocale",
+      "lo cale",
+      "loc ale",
+      "local e",
+      ". tv",
+      ".t v",
+      "_ seq",
+      "_s eq",
+      "_se q",
+      "Ġup coming",
+      "C hart",
+      "Ch art",
+      "Char t",
+      "Cha rt",
+      "Ġ Division",
+      "ĠDi vision",
+      "ĠDiv ision",
+      "Ġ clinical",
+      "Ġclin ical",
+      "Ġclinic al",
+      "Com pany",
+      "Comp any",
+      "S epar",
+      "Se par",
+      "Sep ar",
+      "l as",
+      "la s",
+      "ĠH un",
+      "ĠHu n",
+      ": s",
+      "Ġ heading",
+      "Ġhe ading",
+      "Ġhead ing",
+      "о г",
+      "оР³",
+      "Ġ\" \");Ċ",
+      "Ġ\"\" );Ċ",
+      "Ġ\"\") ;Ċ",
+      "Ġ\"\"); Ċ",
+      "[ id",
+      "[i d",
+      "b ia",
+      "bi a",
+      "Ġ stretch",
+      "Ġst retch",
+      "Ġstr etch",
+      "Ġstret ch",
+      "ic ide",
+      "ici de",
+      "Ġre produ",
+      "Ġrep rodu",
+      "Ġrepr odu",
+      "Ġrepro du",
+      ". project",
+      ".pro ject",
+      ".proj ect",
+      "l egend",
+      "le gend",
+      "leg end",
+      "lege nd",
+      "legen d",
+      "en ders",
+      "end ers",
+      "ender s",
+      "ende rs",
+      "Ġ responses",
+      "Ġres ponses",
+      "Ġresponse s",
+      "Ġrespons es",
+      "Ġ ont",
+      "Ġo nt",
+      "Ġon t",
+      "r itical",
+      "ri tical",
+      "rit ical",
+      "ritic al",
+      "Ġref uge",
+      "Ġ Li",
+      "ĠL i",
+      "Ġ :ĊĊ",
+      "Ġ: ĊĊ",
+      "Ġ:Ċ Ċ",
+      "Ġ Three",
+      "ĠTh ree",
+      "ĠThr ee",
+      ". controller",
+      ".cont roller",
+      ".control ler",
+      "_ INDEX",
+      "_IN DEX",
+      "_IND EX",
+      "_ FOR",
+      "_F OR",
+      "\\ Models",
+      "\\Model s",
+      "j ax",
+      "ja x",
+      "ĉ exit",
+      "ĉe xit",
+      "ĉex it",
+      "Ġ âĸ",
+      "Ġâ ĸ",
+      "Ġ covers",
+      "Ġc overs",
+      "Ġco vers",
+      "Ġcover s",
+      "Ġcov ers",
+      "ĉ y",
+      "- .",
+      "IND OW",
+      "Ġ fails",
+      "Ġf ails",
+      "Ġfa ils",
+      "Ġfail s",
+      "in cludes",
+      "include s",
+      "incl udes",
+      "inclu des",
+      "Ġ fault",
+      "Ġf ault",
+      "Ġfa ult",
+      "4 40",
+      "44 0",
+      "Ġ ly",
+      "Ġl y",
+      "4 44",
+      "44 4",
+      "ñ o",
+      ". slice",
+      ".s lice",
+      ".sl ice",
+      "I LED",
+      "IL ED",
+      "ILE D",
+      "ĠP ur",
+      "ĠPu r",
+      "Ġ Asian",
+      "ĠA sian",
+      "ĠAs ian",
+      "ĠAsia n",
+      "ĠAsi an",
+      "_ batch",
+      "_b atch",
+      ". Max",
+      ".M ax",
+      ".Ma x",
+      "v l",
+      "ĠCOPY RIGHT",
+      "Ġg iant",
+      "Ġgi ant",
+      "Ġgia nt",
+      "Ġgian t",
+      "Ġ Manual",
+      "ĠMan ual",
+      "Ġ Copy",
+      "ĠC opy",
+      "ĠCo py",
+      "ĠCop y",
+      "Class Name",
+      "He alth",
+      "C ursor",
+      "Curso r",
+      "IB Outlet",
+      "Ġt we",
+      "Ġtw e",
+      "æ ³",
+      "_ labels",
+      "_label s",
+      "_lab els",
+      "Ġcol lected",
+      "Ġcoll ected",
+      "Ġcollect ed",
+      "Ġf urniture",
+      "Ġfurn iture",
+      "Ġde aling",
+      "Ġdeal ing",
+      "Control s",
+      "Contr ols",
+      "Ġ Hotel",
+      "ĠH otel",
+      "ĠHot el",
+      "ĠHo tel",
+      "c ks",
+      "ck s",
+      "Ġch ose",
+      "Ġcho se",
+      "âĶ Ģ",
+      "o dd",
+      "od d",
+      "S R",
+      "Ù Ĭ",
+      "ì Ħ",
+      "Ġacc ord",
+      "Ġac cord",
+      "Ġ Move",
+      "ĠM ove",
+      "ĠMo ve",
+      "ĠMov e",
+      "Ġ Mode",
+      "ĠM ode",
+      "ĠMod e",
+      "ĠMo de",
+      "Ġ Mock",
+      "ĠM ock",
+      "ĠMo ck",
+      "Ġ threads",
+      "Ġth reads",
+      "Ġthread s",
+      "+ +++",
+      "++ ++",
+      "+++ +",
+      "Ġ Options",
+      "ĠO ptions",
+      "ĠOption s",
+      "ĠOpt ions",
+      "Re fresh",
+      "Ref resh",
+      "Ġ Did",
+      "ĠD id",
+      "ĠDi d",
+      "' ]->",
+      "'] ->",
+      "u cc",
+      "uc c",
+      "_ channel",
+      "_ch annel",
+      "_chan nel",
+      ". abs",
+      ".a bs",
+      ".ab s",
+      "Ġ {},Ċ",
+      "Ġ{ },Ċ",
+      "Ġ{} ,Ċ",
+      "Ġ{}, Ċ",
+      "Ġ Wal",
+      "ĠW al",
+      "ĠWa l",
+      "e rior",
+      "er ior",
+      "eri or",
+      "Ġmain ly",
+      "Ġ Driver",
+      "ĠD river",
+      "ĠDr iver",
+      "ĠDrive r",
+      "NotFound Exception",
+      "Ġ counts",
+      "Ġco unts",
+      "Ġcount s",
+      "Ġcoun ts",
+      "Ġcou nts",
+      "e am",
+      "ea m",
+      "Ġ& =",
+      "Q uestion",
+      "Qu estion",
+      "Quest ion",
+      "Ġ Ali",
+      "ĠA li",
+      "ĠAl i",
+      "Ġany more",
+      "d etail",
+      "de tail",
+      "det ail",
+      "t ail",
+      "ta il",
+      "Ġ mile",
+      "Ġm ile",
+      "Ġmil e",
+      "Ġmi le",
+      "Ġ Fair",
+      "ĠF air",
+      "ĠFa ir",
+      "Ġ sorry",
+      "Ġs orry",
+      "Ġsor ry",
+      "Ġsurround ing",
+      "Ġ adm",
+      "Ġa dm",
+      "Ġad m",
+      "D ev",
+      "De v",
+      "Ġmari juana",
+      "Ġ Sound",
+      "ĠS ound",
+      "ĠSo und",
+      "ĠSou nd",
+      "Ġ Ash",
+      "ĠA sh",
+      "ĠAs h",
+      "F D",
+      "T eam",
+      "Te am",
+      ". port",
+      ".p ort",
+      ".po rt",
+      "Ġ[ ]ĊĊ",
+      "Ġ[] ĊĊ",
+      "Ġ[]Ċ Ċ",
+      "u bble",
+      "ub ble",
+      "ubb le",
+      "Ġ asc",
+      "Ġa sc",
+      "Ġas c",
+      "Ġint ention",
+      "Ġintent ion",
+      "A cc",
+      "Ac c",
+      "c hi",
+      "ch i",
+      "u sters",
+      "us ters",
+      "ust ers",
+      "uster s",
+      "uste rs",
+      "Ġins pired",
+      "Ġinspir ed",
+      "Ġinspire d",
+      "Ġinsp ired",
+      "s eg",
+      "se g",
+      "C LU",
+      "CL U",
+      "Ġman ip",
+      "Ġma nip",
+      "M etadata",
+      "Meta data",
+      "Met adata",
+      "Con nect",
+      "Conn ect",
+      "Ġ Beh",
+      "ĠB eh",
+      "ĠBe h",
+      "Ġfind ings",
+      "Ġfin dings",
+      "Ġfinding s",
+      "Ġ assembly",
+      "Ġas sembly",
+      "w orld",
+      "wor ld",
+      "Ġrem ained",
+      "Ġremain ed",
+      "Ġ uid",
+      "Ġu id",
+      "Ġui d",
+      "( .",
+      "Ġ mx",
+      "Ġm x",
+      "L oop",
+      "Lo op",
+      "Ċ ĊĊĊĊ",
+      "ĊĊ ĊĊĊ",
+      "ĊĊĊĊ Ċ",
+      "ĊĊĊ ĊĊ",
+      "Ġfant astic",
+      "Ġfantas tic",
+      "Ġfantast ic",
+      "w ho",
+      "wh o",
+      "a ki",
+      "ak i",
+      "Ġ Basic",
+      "ĠB asic",
+      "ĠBa sic",
+      "ĠBas ic",
+      "Ġ Yet",
+      "ĠY et",
+      "ĠYe t",
+      "Ġ Users",
+      "ĠUser s",
+      "ĠUs ers",
+      "ĠUse rs",
+      "i kip",
+      "ik ip",
+      "iki p",
+      "Ġ heads",
+      "Ġhe ads",
+      "Ġhead s",
+      "Ġ Michigan",
+      "ĠMich igan",
+      "_ it",
+      "_i t",
+      "Ġ Toronto",
+      "ĠTor onto",
+      "Ġrec ording",
+      "Ġrecord ing",
+      "Ġ submitted",
+      "Ġsub mitted",
+      "Ġsubmit ted",
+      "_ variable",
+      "_var iable",
+      "med iate",
+      "medi ate",
+      "media te",
+      ". graphics",
+      ".g raphics",
+      ".graph ics",
+      "Ġ stood",
+      "Ġst ood",
+      "Ġsto od",
+      "Ġ rear",
+      "Ġre ar",
+      "Ġr ear",
+      "v elocity",
+      "vel ocity",
+      "_ MESSAGE",
+      "_M ESSAGE",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "r oles",
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+      "rol es",
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+      "ĠTou r",
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+      "(' -",
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+      "Ġ uk",
+      "Ġu k",
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+      "ĠL ittle",
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+      "_C OUNT",
+      "_CO UNT",
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+      "Array List",
+      "æ į",
+      "Ġ\" \")Ċ",
+      "Ġ\"\" )Ċ",
+      "Ġ\"\") Ċ",
+      "An chor",
+      "Anc hor",
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+      "Ġh ang",
+      "Ġha ng",
+      "Ġhan g",
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+      "tw itter",
+      "Ġ competitive",
+      "Ġcompet itive",
+      "Ġcompetit ive",
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+      ".s rc",
+      "ãģ Ĺ",
+      "Ġ translate",
+      "Ġtrans late",
+      "Ġtransl ate",
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+      "ĠCre ates",
+      "ĠCreat es",
+      "o oks",
+      "ook s",
+      "oo ks",
+      "Ġ Roll",
+      "ĠR oll",
+      "ĠRo ll",
+      "ĠRol l",
+      "' ''Ċ",
+      "'' 'Ċ",
+      "''' Ċ",
+      "/ sh",
+      "/s h",
+      "s ome",
+      "so me",
+      "som e",
+      "En coding",
+      "Enc oding",
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+      ".re solve",
+      ".res olve",
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+      "Ġdesign er",
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+      "ĠSt orage",
+      "ĠSto rage",
+      "Ġ za",
+      "Ġz a",
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+      "ĠN ever",
+      "ĠNe ver",
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+      "Ġsome where",
+      "Ġsom ewhere",
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+      ".s ource",
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+      "() ),Ċ",
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+      "()), Ċ",
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+      "ĠAc tiv",
+      "Ġgu ests",
+      "Ġguest s",
+      "Ġ VALUES",
+      "ĠVAL UES",
+      "ĠVALUE S",
+      "} ;ĊĊĊ",
+      "};ĊĊ Ċ",
+      "};Ċ ĊĊ",
+      "}; ĊĊĊ",
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+      "Ġamo unts",
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+      ".R E",
+      "Ġ clone",
+      "Ġcl one",
+      "Ġclo ne",
+      "Ġw eren",
+      "Ġwe ren",
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+      "Ġ\" <<",
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+      "_a c",
+      "Ġ breaking",
+      "Ġbreak ing",
+      "Ġbre aking",
+      "Ġre liable",
+      "Ġrel iable",
+      "Ġreli able",
+      ". POST",
+      ".P OST",
+      ".POS T",
+      ".PO ST",
+      "Ġ Sky",
+      "ĠS ky",
+      "ĠSk y",
+      "Ġ' &",
+      "Ġsaved InstanceState",
+      "as ting",
+      "ast ing",
+      "asti ng",
+      "il lion",
+      "ill ion",
+      "illi on",
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+      "comm ents",
+      "comment s",
+      "ul ty",
+      "ult y",
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+      ".m enu",
+      ".me nu",
+      "/ config",
+      "/con fig",
+      "/conf ig",
+      "Ġ ĊĊĊ",
+      "ĠĊ ĊĊ",
+      "ĠĊĊ Ċ",
+      "T ODO",
+      "TO DO",
+      "Ġp urchased",
+      "Ġpurch ased",
+      "Ġpurchase d",
+      "_ cor",
+      "_c or",
+      "_co r",
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+      "ĉa uto",
+      "Compat Activity",
+      "com plete",
+      "comp lete",
+      "_ graph",
+      "_g raph",
+      "_gr aph",
+      "is odes",
+      "isode s",
+      "iso des",
+      "Ġsit uations",
+      "Ġsituation s",
+      "Ġsitu ations",
+      "Ġ Hor",
+      "ĠH or",
+      "ĠHo r",
+      "Re ceive",
+      "âĢľ We",
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+      "Ġent ities",
+      ". assertEquals",
+      ".assert Equals",
+      ".assertEqual s",
+      "о к",
+      "оРº",
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+      "ĠS ans",
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+      "ĠSa ns",
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+      "vinc e",
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+      "= Ċ",
+      "Ġ /.",
+      "Ġ/ .",
+      ". Select",
+      ".S elect",
+      ".Se lect",
+      "y lv",
+      "yl v",
+      "Ġb att",
+      "Ġba tt",
+      "Ġbat t",
+      "A udio",
+      "Aud io",
+      "Au dio",
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+      ". Bundle",
+      ".B undle",
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+      "Ġha l",
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+      "_l imit",
+      "_li mit",
+      "_lim it",
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+      "yy yy",
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+      "low er",
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+      "ĠG R",
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+      "Ġp ag",
+      "Ġpa g",
+      "Ġ Parse",
+      "ĠP arse",
+      "ĠPar se",
+      "ĠPars e",
+      "Ġt ou",
+      "Ġto u",
+      "ä¸ Ģ",
+      "D istance",
+      "Di stance",
+      "Dist ance",
+      "Index Path",
+      "Ġ hell",
+      "Ġh ell",
+      "Ġhe ll",
+      "Ġhel l",
+      "s im",
+      "si m",
+      "UT TON",
+      "U sage",
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+      "elen ium",
+      "Ġ Fall",
+      "ĠF all",
+      "ĠFa ll",
+      "ĠFal l",
+      "Ġ \".$",
+      "Ġ\" .$",
+      "Ġ\". $",
+      "Ġ Mu",
+      "ĠM u",
+      "Ġc ruc",
+      "Ġcr uc",
+      "Ġcru c",
+      "Ġs ont",
+      "Ġso nt",
+      "Ġson t",
+      "RE FIX",
+      "REF IX",
+      "3 11",
+      "31 1",
+      "Ġin terior",
+      "Ġint erior",
+      "Ġinter ior",
+      "Ġinte rior",
+      "ĠO lymp",
+      ".Auto Scale",
+      "p ara",
+      "par a",
+      "pa ra",
+      "Axis Alignment",
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+      "Ġr iver",
+      "Ġri ver",
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+      "Ġ ĠĠĠĊĊ",
+      "ĠĠ ĠĠĊĊ",
+      "ĠĠĠĠ ĊĊ",
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+      "_Se t",
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+      "ĠClo ud",
+      "\" ){Ċ",
+      "\") {Ċ",
+      "\"){ Ċ",
+      "ch ester",
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+      "Ġwir d",
+      "Ġwi rd",
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+      "/ material",
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+      "_u nit",
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+      ".Pe r",
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+      "ĠâĢ ŀ",
+      "Ġre form",
+      "Ġref orm",
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+      "31 5",
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+      "Ġa o",
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+      "ĠB L",
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+      "Ġma ture",
+      "Ġb athroom",
+      "Ġbath room",
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+      "Ġ'/ '",
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+      "ĠÄ ij",
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+      "Ġg ene",
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+      ".D EFAULT",
+      ".DE FAULT",
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+      "ĠM IT",
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+      "COD E",
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+      "ĠE gypt",
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+      "pi cker",
+      "pic ker",
+      "pick er",
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+      "detail s",
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+      "ĠCon ference",
+      "ĠConf erence",
+      "In formation",
+      "Inform ation",
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+      "ĠM ail",
+      "ĠMa il",
+      "ĠMai l",
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+      "-do wn",
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+      "b ro",
+      "br o",
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+      "Ġsubj ects",
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+      "Ġ' *",
+      "è¯ ·",
+      "o rient",
+      "or ient",
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+      "orie nt",
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+      "verb ose",
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+      "31 3",
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+      "eng ers",
+      "enge rs",
+      "enger s",
+      "Ġ endpoint",
+      "Ġend point",
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+      "Ġstr ange",
+      "Ġstrang e",
+      "Ġstran ge",
+      "Ġstra nge",
+      "Ġ colon",
+      "Ġc olon",
+      "Ġco lon",
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+      "Ġinstit ution",
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+      "db c",
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+      "Ġexp osed",
+      "Ġexpose d",
+      "Ġexpos ed",
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+      "_NO NE",
+      "_NON E",
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+      "pr ogram",
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+      "Ġencour age",
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+      "sh ire",
+      "shi re",
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+      "ĠIs lam",
+      "ĠIsl am",
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+      "32 5",
+      "e en",
+      "ee n",
+      "N I",
+      "' \"",
+      ". Width",
+      ".W idth",
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+      "Ġl iked",
+      "Ġli ked",
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+      "Ġb ir",
+      "Ġbi r",
+      "ç ões",
+      "=\"# \">",
+      "=\"#\" >",
+      "Ġ represented",
+      "Ġrepresent ed",
+      "i ller",
+      "il ler",
+      "ill er",
+      "ille r",
+      "( expected",
+      "(ex pected",
+      "(exp ected",
+      "(expect ed",
+      "Ġ dance",
+      "Ġd ance",
+      "Ġda nce",
+      "Ġdan ce",
+      "Ġvis itors",
+      "Ġvisit ors",
+      "Ġvisitor s",
+      ". concat",
+      ".con cat",
+      "- bit",
+      "-b it",
+      "UR RE",
+      "ĠR og",
+      "ĠRo g",
+      "v p",
+      "i ph",
+      "ip h",
+      "ĠL LC",
+      "ĠLL C",
+      "it led",
+      "itle d",
+      "i ami",
+      "ia mi",
+      "iam i",
+      "C oll",
+      "Col l",
+      "Co ll",
+      "_ real",
+      "_re al",
+      "_ show",
+      "_s how",
+      "_sh ow",
+      "_ folder",
+      "_f older",
+      "_fold er",
+      "Ġ dar",
+      "Ġd ar",
+      "Ġda r",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "Ġl atter",
+      "Ġlat ter",
+      "ar chy",
+      "arch y",
+      "arc hy",
+      "Ġ bow",
+      "Ġb ow",
+      "Ġbo w",
+      "Ġ outcome",
+      "Ġout come",
+      "5 10",
+      "51 0",
+      "Ġ Posted",
+      "ĠPost ed",
+      "ĠPo sted",
+      "ĠPos ted",
+      "Ġr isks",
+      "Ġrisk s",
+      "Ġris ks",
+      "Ġ Therefore",
+      "ĠThere fore",
+      "ĠTher efore",
+      "Ġ ownership",
+      "Ġowner ship",
+      "Ġowners hip",
+      "Ġ parallel",
+      "Ġpar allel",
+      "Ġparalle l",
+      "Ġ pending",
+      "Ġp ending",
+      "Ġpen ding",
+      "Ġpend ing",
+      "ge ometry",
+      "geo metry",
+      "geom etry",
+      "Ġrecogn ize",
+      "S TEM",
+      "ST EM",
+      "STE M",
+      "Ġ CP",
+      "ĠC P",
+      "Ġimm igr",
+      "IT LE",
+      "Ġ ĠĠĠĉĉ",
+      "ĠĠ ĠĠĉĉ",
+      "ĠĠĠĠ ĉĉ",
+      "ĠĠĠ Ġĉĉ",
+      "ĠĠĠĠĉ ĉ",
+      "conn ected",
+      "connect ed",
+      "Ġs mile",
+      "Ġsm ile",
+      "( document",
+      "(d ocument",
+      "(doc ument",
+      "\\ Component",
+      "ver tical",
+      "vert ical",
+      "Ġcons umption",
+      "Ġconsum ption",
+      "Ġsh oes",
+      "Ġshoe s",
+      "Ġsho es",
+      ". impl",
+      ".i mpl",
+      ".im pl",
+      ".imp l",
+      "un ks",
+      "unk s",
+      ". \";Ċ",
+      ".\" ;Ċ",
+      ".\"; Ċ",
+      "Ġ foods",
+      "Ġf oods",
+      "Ġfood s",
+      "Ġfo ods",
+      "Ġfoo ds",
+      "_ );Ċ",
+      "_) ;Ċ",
+      ". assertTrue",
+      ".assert True",
+      "Ġ pipeline",
+      "Ġp ipeline",
+      "Ġpipe line",
+      "Ġpip eline",
+      "Ġ collections",
+      "Ġc ollections",
+      "Ġcol lections",
+      "Ġcollection s",
+      "Ġcoll ections",
+      "Ġcollect ions",
+      "Ġcolle ctions",
+      "Ġ earned",
+      "Ġear ned",
+      "Ġearn ed",
+      "Ġ Cert",
+      "ĠC ert",
+      "ĠCe rt",
+      "ĠCer t",
+      "Ġpartner ship",
+      "Ġpartners hip",
+      "( action",
+      "(a ction",
+      "(ac tion",
+      "(act ion",
+      "2 63",
+      "26 3",
+      "Ġ cd",
+      "Ġc d",
+      "Ġ Very",
+      "ĠV ery",
+      "ĠVer y",
+      "ĠVe ry",
+      "Option al",
+      "Opt ional",
+      "Ġ screens",
+      "Ġs creens",
+      "Ġscreen s",
+      "Ġscre ens",
+      "Ġ titles",
+      "Ġt itles",
+      "Ġtitle s",
+      "Ġtit les",
+      "en erator",
+      "ener ator",
+      "Ġab andon",
+      "Ġaba ndon",
+      "k ind",
+      "ki nd",
+      "kin d",
+      "IL TER",
+      "ILT ER",
+      "Ġ closing",
+      "Ġc losing",
+      "Ġcl osing",
+      "Ġclos ing",
+      "Ġclo sing",
+      "l ica",
+      "lic a",
+      "li ca",
+      "_ inter",
+      "_in ter",
+      "_int er",
+      "Ġc ampus",
+      "Ġcamp us",
+      "Ġcam pus",
+      "s etting",
+      "set ting",
+      "sett ing",
+      "S prite",
+      "Sp rite",
+      "Spr ite",
+      "ãģ ¯",
+      "_ reply",
+      "_re ply",
+      "_rep ly",
+      "To List",
+      ": \\/\\/",
+      "e de",
+      "ed e",
+      "Ġfol ks",
+      "Ġfolk s",
+      "Ġ boat",
+      "Ġbo at",
+      "Ġboa t",
+      "( argv",
+      "(arg v",
+      "(ar gv",
+      "Ġ permanent",
+      "Ġper manent",
+      "Ġperman ent",
+      "Ġcar rying",
+      "Ġcarry ing",
+      "Ġcarr ying",
+      "Ġcons ervative",
+      "Ġconserv ative",
+      "import ant",
+      ". img",
+      ".i mg",
+      ".im g",
+      "Ġ Imm",
+      "ĠI mm",
+      "ĠIm m",
+      "Ġ dimensions",
+      "Ġdim ensions",
+      "Ġdimension s",
+      "a land",
+      "al and",
+      "ala nd",
+      "alan d",
+      "s ingle",
+      "si ngle",
+      "sin gle",
+      "sing le",
+      "E xit",
+      "Ex it",
+      "- ---------",
+      "-- --------",
+      "---- ------",
+      "-------- --",
+      "--- -------",
+      "----- -----",
+      "------ ----",
+      "------- ---",
+      "--------- -",
+      "ar iant",
+      "ari ant",
+      "arian t",
+      "aria nt",
+      "t ernal",
+      "ter nal",
+      "tern al",
+      "Se conds",
+      "Sec onds",
+      "Second s",
+      "Ġ Italy",
+      "ĠIt aly",
+      "ĠItal y",
+      "ot lin",
+      ". Resume",
+      ".Re sume",
+      ".Res ume",
+      "= '\"",
+      "=' \"",
+      ") ==",
+      ")= =",
+      "cept or",
+      "cep tor",
+      "Ġs ca",
+      "Ġsc a",
+      "/ main",
+      "/m ain",
+      "S ecurity",
+      "Se curity",
+      "Sec urity",
+      "_ dat",
+      "_d at",
+      "_da t",
+      "Ġ lets",
+      "Ġl ets",
+      "Ġle ts",
+      "Ġlet s",
+      "Ġ aqu",
+      "Ġa qu",
+      "Ġwh enever",
+      "Ġwhen ever",
+      "Ġwhe never",
+      "b erry",
+      "ber ry",
+      "Ġ acting",
+      "Ġact ing",
+      "Ġac ting",
+      "an ti",
+      "ant i",
+      "p d",
+      "& gt",
+      "æ Ń",
+      "Z one",
+      "T oday",
+      "To day",
+      "! .",
+      "3 23",
+      "32 3",
+      "To Props",
+      "a bis",
+      "ab is",
+      "abi s",
+      "i table",
+      "it able",
+      "ita ble",
+      "Ġ gal",
+      "Ġg al",
+      "Ġga l",
+      "] {",
+      "iz ona",
+      "izon a",
+      "izo na",
+      "Ġin contri",
+      "Ġincon tri",
+      "Ġincontr i",
+      "N ET",
+      "NE T",
+      "/ //Ċ",
+      "// /Ċ",
+      "/// Ċ",
+      "[ in",
+      "[i n",
+      "_ save",
+      "_s ave",
+      "_sa ve",
+      "Ġex em",
+      "Ġexe m",
+      "Ġ Kenn",
+      "ĠK enn",
+      "ĠKe nn",
+      "ĠKen n",
+      "Ġe volution",
+      "Ġev olution",
+      "2 72",
+      "27 2",
+      "v ars",
+      "var s",
+      "va rs",
+      "_ stats",
+      "_st ats",
+      "_stat s",
+      "_sta ts",
+      "- only",
+      "-on ly",
+      "Ġ Colorado",
+      "ĠColor ado",
+      "ĠCol orado",
+      "ĠColo rado",
+      "Ġw atched",
+      "Ġwatch ed",
+      "Ġwat ched",
+      "b our",
+      "bo ur",
+      "bou r",
+      "Ġse vere",
+      "Ġsever e",
+      "Ġsev ere",
+      "Ġprofession als",
+      "Ġprofessional s",
+      "p ortion",
+      "port ion",
+      "por tion",
+      "Ġguar ante",
+      "Ð ³",
+      "Ġp ushed",
+      "Ġpush ed",
+      "Ġpu shed",
+      "Ġpus hed",
+      "Ġ Gi",
+      "ĠG i",
+      "ï ½",
+      "Ġt um",
+      "Ġtu m",
+      "Ġ Az",
+      "ĠA z",
+      "Ġ EdgeInsets",
+      "ĠEdge Insets",
+      "\" ));čĊ",
+      "\") );čĊ",
+      "\")) ;čĊ",
+      "\")); čĊ",
+      "i sse",
+      "is se",
+      "iss e",
+      ". ac",
+      ".a c",
+      "S etting",
+      "Set ting",
+      "Ġapprec iate",
+      "ĠValue Error",
+      "Ġs urve",
+      "Ġsu rve",
+      "Ġsur ve",
+      "Ġsurv e",
+      "Ġ Role",
+      "ĠR ole",
+      "ĠRo le",
+      "ĠRol e",
+      ". Inter",
+      ".In ter",
+      ".Int er",
+      "plot lib",
+      "j et",
+      "je t",
+      "d am",
+      "da m",
+      "Ġplatform s",
+      "Ġplat forms",
+      "t ele",
+      "te le",
+      "tel e",
+      "U TO",
+      "UT O",
+      "Ġ Internal",
+      "ĠIn ternal",
+      "ĠInt ernal",
+      "ĠIntern al",
+      "ĠInter nal",
+      "+ :",
+      "} ;čĊ",
+      "}; čĊ",
+      "G eneral",
+      "Gener al",
+      "Gen eral",
+      "Gene ral",
+      "\\ Entity",
+      "\\E ntity",
+      "Ġlaw yer",
+      "Ġlawy er",
+      "qu iv",
+      "qui v",
+      "Ġ Posts",
+      "ĠPost s",
+      "ĠPo sts",
+      "ĠPos ts",
+      "i so",
+      "is o",
+      "Ġ accum",
+      "Ġacc um",
+      "Ġac cum",
+      "o be",
+      "ob e",
+      "Ġ marks",
+      "Ġm arks",
+      "Ġmark s",
+      "Ġmar ks",
+      "Ġ ];ĊĊ",
+      "Ġ] ;ĊĊ",
+      "Ġ];Ċ Ċ",
+      "Ġ]; ĊĊ",
+      "ĉ text",
+      "ĉt ext",
+      ". success",
+      ".s uccess",
+      "c urr",
+      "cur r",
+      "cu rr",
+      "a sa",
+      "as a",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "Ġ thin",
+      "Ġt hin",
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+      "( address",
+      "(addr ess",
+      "(add ress",
+      "(ad dress",
+      "Ġ velocity",
+      "Ġv elocity",
+      "Ġvel ocity",
+      "Ġveloc ity",
+      "Ġ [];ĊĊ",
+      "Ġ[ ];ĊĊ",
+      "Ġ[] ;ĊĊ",
+      "Ġ[];Ċ Ċ",
+      "Ġ[]; ĊĊ",
+      "=\" ../../",
+      "=\"../ ../",
+      "Ġ Priv",
+      "ĠP riv",
+      "ĠPr iv",
+      "ĠPri v",
+      "b ow",
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+      "% ĊĊ",
+      "%Ċ Ċ",
+      "3 22",
+      "32 2",
+      "Ġ evaluate",
+      "Ġe valuate",
+      "Ġeval uate",
+      "Ġevalu ate",
+      ". LENGTH",
+      ".LE NGTH",
+      "Ġ inventory",
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+      "Ġinvent ory",
+      "Ġinventor y",
+      "q a",
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+      ". OnClickListener",
+      ".On ClickListener",
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+      "Ġl ies",
+      "Ġli es",
+      "Ġlie s",
+      "Ġ assessment",
+      "Ġass essment",
+      "Ġassess ment",
+      "d atetime",
+      "date time",
+      "dat etime",
+      ". backgroundColor",
+      ".back groundColor",
+      ".background Color",
+      "Ġ */čĊčĊ",
+      "Ġ* /čĊčĊ",
+      "Ġ*/ čĊčĊ",
+      "Ġ*/čĊ čĊ",
+      "r af",
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+      "Ġ Foot",
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+      "ĠFoo t",
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+      "Ġn otify",
+      "Ġnot ify",
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+      "ation ship",
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+      "Con stant",
+      "Cons tant",
+      "Const ant",
+      "Ġ programming",
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+      "ĠPRO VID",
+      "ĠPR OVID",
+      "an tes",
+      "ant es",
+      "ante s",
+      "Ġ shirt",
+      "Ġsh irt",
+      "in ated",
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+      "inate d",
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+      "Ġthin ks",
+      "? ĊĊĊĊ",
+      "?ĊĊ ĊĊ",
+      "?Ċ ĊĊĊ",
+      "?ĊĊĊ Ċ",
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+      "Ġ Magic",
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+      "RE ATE",
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+      "Ġsi mpl",
+      "Ġsimp l",
+      "c opyright",
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+      "Ġb unch",
+      "Ġbun ch",
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+      "9 50",
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+      "ĠE rr",
+      "ĠEr r",
+      "Ġ presentation",
+      "Ġp resentation",
+      "Ġpresent ation",
+      "Ġpresenta tion",
+      "c ategories",
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+      "Ġat tach",
+      "Ġatt ach",
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+      "=\" '",
+      "Ġ sans",
+      "Ġs ans",
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+      "Ġsan s",
+      "Ġsupport ers",
+      "Ġsupporter s",
+      "se quence",
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+      "G O",
+      ". .ĊĊ",
+      ".. ĊĊ",
+      "..Ċ Ċ",
+      "Ġ Spr",
+      "ĠS pr",
+      "ĠSp r",
+      "Ġcar efully",
+      "Ġcare fully",
+      "Ġcareful ly",
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+      "UI Color",
+      "d estroy",
+      "de stroy",
+      "dest roy",
+      "Ġ todos",
+      "Ġt odos",
+      "Ġto dos",
+      "Ġtod os",
+      "Ġtodo s",
+      "Ġ ORDER",
+      "ĠOR DER",
+      "ĠORD ER",
+      "ot ted",
+      "ott ed",
+      "otte d",
+      "Ġ dont",
+      "Ġd ont",
+      "Ġdo nt",
+      "Ġdon t",
+      "a udi",
+      "au di",
+      "aud i",
+      "_ player",
+      "_p layer",
+      "_pl ayer",
+      "_play er",
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+      "6 25",
+      "62 5",
+      "Ġ Oil",
+      "ĠO il",
+      "< body",
+      "<b ody",
+      "_ stack",
+      "_st ack",
+      "_sta ck",
+      ". Padding",
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+      "Ġ Products",
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+      "0 14",
+      "01 4",
+      "Ġin jured",
+      "Ġinj ured",
+      "Ġ Further",
+      "ĠF urther",
+      "ĠFur ther",
+      "Ġ alias",
+      "Ġa lias",
+      "Ġal ias",
+      "Ġali as",
+      ".Resume Layout",
+      "_ LEN",
+      "_L EN",
+      "_LE N",
+      "Ġ ses",
+      "Ġs es",
+      "Ġse s",
+      "' ];ĊĊ",
+      "'] ;ĊĊ",
+      "'];Ċ Ċ",
+      "']; ĊĊ",
+      "cre ens",
+      "creen s",
+      "Ġd irected",
+      "Ġdirect ed",
+      "Ġdir ected",
+      ".S uspendLayout",
+      "o dge",
+      "od ge",
+      ". At",
+      ".A t",
+      "m arks",
+      "mark s",
+      "mar ks",
+      "Ġ Univers",
+      "ĠUn ivers",
+      "ĠUni vers",
+      "ĠUniv ers",
+      "e rts",
+      "er ts",
+      "ert s",
+      "Ġ Esc",
+      "ĠE sc",
+      "ĠEs c",
+      "Ġ navbar",
+      "Ġnav bar",
+      "Ġ utility",
+      "Ġu tility",
+      "Ġutil ity",
+      "Ġut ility",
+      "agnost ics",
+      "agnostic s",
+      "Ġ inject",
+      "Ġin ject",
+      "Ġinj ect",
+      "Ġ DNA",
+      "ĠD NA",
+      "ĠDN A",
+      "Ġ \",\"",
+      "Ġ\" ,\"",
+      "Ġ\", \"",
+      "a mar",
+      "am ar",
+      "ama r",
+      "Ġ eu",
+      "Ġe u",
+      "Ġ restaurants",
+      "Ġrest aurants",
+      "Ġrestaur ants",
+      "Ġrestaurant s",
+      "_ put",
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+      "is tro",
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+      "istr o",
+      "Ġ zoom",
+      "Ġz oom",
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+      "Ġzoo m",
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+      "Ġleg it",
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+      "2 85",
+      "28 5",
+      "Ġ Come",
+      "ĠC ome",
+      "ĠCom e",
+      "ĠCo me",
+      "Ġ localStorage",
+      "Ġlocal Storage",
+      "Ġabs or",
+      ". Panel",
+      ".P anel",
+      "Ġ Designer",
+      "ĠDes igner",
+      "ĠDesign er",
+      "Ġ ow",
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+      "ICA L",
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+      "(f ield",
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+      "Ġrespect ively",
+      "Ġrespective ly",
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+      "ĠSt and",
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+      "ĠSta nd",
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+      "3 64",
+      "36 4",
+      "Ġ arc",
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+      "Ġ nd",
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+      "uc ks",
+      "uck s",
+      "Ġre str",
+      "Ġr estr",
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+      "Ġrest r",
+      "Ġse asons",
+      "Ġseason s",
+      "Ġsea sons",
+      "Ġseas ons",
+      "Ġ Chapter",
+      "ĠCh apter",
+      "ĠChap ter",
+      "ĠCha pter",
+      "Ġ Switch",
+      "ĠS witch",
+      "ĠSw itch",
+      "p ic",
+      "pi c",
+      "Ġ hi",
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+      "Ġ fluid",
+      "Ġfl uid",
+      "Ġflu id",
+      "- btn",
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+      "Ġtau ght",
+      "å ¯",
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+      "ag ment",
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+      "Ġm ul",
+      "Ġmu l",
+      "Reg istry",
+      "Registr y",
+      "_ grid",
+      "_g rid",
+      "_gr id",
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+      "ĠBro ok",
+      ": Set",
+      ":S et",
+      "Ġ mongoose",
+      "Ġm ongoose",
+      "Ġmongo ose",
+      "Ġmong oose",
+      "A MES",
+      "AM ES",
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+      "Ġ Intel",
+      "ĠIn tel",
+      "ĠInt el",
+      "get Id",
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+      "Ġ_ _(",
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+      "ĉ delete",
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+      "ĉdel ete",
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+      "Ġten t",
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+      "Ġexter n",
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+      "Ġle an",
+      "Ġh oping",
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+      "=\"<? =",
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+      "Ġ urban",
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+      "01 5",
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+      "Ġa side",
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+      "e llen",
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+      "elle n",
+      "C hat",
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+      "Ġimpro vement",
+      "Ġimprove ment",
+      "Ġimpr ovement",
+      "Ġimprov ement",
+      "' ]ĊĊ",
+      "'] ĊĊ",
+      "']Ċ Ċ",
+      "ł ģ",
+      "Ġ parsed",
+      "Ġp arsed",
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+      "Ġparse d",
+      "Ġpars ed",
+      "Ġ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠ Ċ",
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+      "Ġla zy",
+      "Ġlaz y",
+      "Ġf alling",
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+      ".wh ite",
+      ". Query",
+      ".Qu ery",
+      "B ed",
+      "Be d",
+      "Ġ Du",
+      "ĠD u",
+      "Ġ resume",
+      "Ġre sume",
+      "Ġres ume",
+      "Ġ papers",
+      "Ġp apers",
+      "Ġpaper s",
+      "Ġpa pers",
+      "Ġpap ers",
+      "Ġ Init",
+      "ĠI nit",
+      "ĠIn it",
+      "ĠIni t",
+      "Ġsuffer ing",
+      "Ġsuff ering",
+      "âĢ ĭ",
+      "Ġde clarations",
+      "Ġdeclar ations",
+      "Ġdeclaration s",
+      "( )-",
+      "() -",
+      "Ġexec uted",
+      "Ġexecute d",
+      "Ġexecut ed",
+      "Ġ Hol",
+      "ĠH ol",
+      "ĠHo l",
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+      ".b lock",
+      ".bl ock",
+      "ãĥ ³",
+      "S K",
+      "Ġst uck",
+      "Ġstu ck",
+      "Ġ Lock",
+      "ĠL ock",
+      "ĠLo ck",
+      "ĠLoc k",
+      "incip al",
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+      "ĠĠ ĠĠĠĠčĊ",
+      "ĠĠĠĠ ĠĠčĊ",
+      "ĠĠĠ ĠĠĠčĊ",
+      "ĠĠĠĠĠ ĠčĊ",
+      "ĠĠĠĠĠĠ čĊ",
+      "r ett",
+      "re tt",
+      "ret t",
+      "( method",
+      "(m ethod",
+      "Ġ Flash",
+      "ĠF lash",
+      "ĠFl ash",
+      "ĠFla sh",
+      "4 70",
+      "47 0",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "W ISE",
+      "WI SE",
+      ". scale",
+      ".s cale",
+      ".sc ale",
+      ".scal e",
+      "Ġrough ly",
+      "_ child",
+      "_ch ild",
+      "_chi ld",
+      "m emory",
+      "mem ory",
+      "memo ry",
+      "a ying",
+      "ay ing",
+      "ayi ng",
+      "Ġ initialized",
+      "Ġinitial ized",
+      "Ġinit ialized",
+      "Ġinitialize d",
+      "in ator",
+      "ina tor",
+      "а ÑĢ",
+      "Ġ scalar",
+      "Ġs calar",
+      "Ġsc alar",
+      "Ġsca lar",
+      "Ġscala r",
+      "Ġscal ar",
+      "Ġ Ho",
+      "ĠH o",
+      "a ires",
+      "air es",
+      "ai res",
+      "aire s",
+      "( column",
+      "(c olumn",
+      "(col umn",
+      ". destroy",
+      ".d estroy",
+      ".de stroy",
+      ".dest roy",
+      "P ACK",
+      "PA CK",
+      "Ġ hem",
+      "Ġh em",
+      "Ġhe m",
+      "an gel",
+      "ang el",
+      "ange l",
+      "_ SUB",
+      "_S UB",
+      "_SU B",
+      ". qu",
+      ".q u",
+      "Ġ ×",
+      "D EFAULT",
+      "DE FAULT",
+      "pos itories",
+      "posit ories",
+      "positor ies",
+      "5 03",
+      "50 3",
+      "Ġ Length",
+      "ĠL ength",
+      "ĠLe ngth",
+      "ĠLen gth",
+      "Ġ Fast",
+      "ĠF ast",
+      "ĠFa st",
+      "Ġ signals",
+      "Ġsign als",
+      "Ġsignal s",
+      "Ġ //$",
+      "Ġ// $",
+      "Ġ/ /$",
+      "r iers",
+      "ri ers",
+      "rie rs",
+      "rier s",
+      "Ġ dummy",
+      "Ġd ummy",
+      "Ġdum my",
+      "A NY",
+      "AN Y",
+      "Ġperson ality",
+      "Ġpersonal ity",
+      "Ġa gricult",
+      "Ġagr icult",
+      "Pl atform",
+      "E RO",
+      "ER O",
+      "Ġ Tra",
+      "ĠT ra",
+      "ĠTr a",
+      "Ġe norm",
+      "Ġen orm",
+      "ĉ W",
+      "Action Result",
+      "Ġ aver",
+      "Ġa ver",
+      "Ġav er",
+      "Ġave r",
+      "[ str",
+      "[s tr",
+      "Ġ' --",
+      "Ġ'- -",
+      ".S printf",
+      "Ġde but",
+      "Ġdeb ut",
+      "Ġ Ñĩ",
+      "ĠÑ ĩ",
+      "h ex",
+      "he x",
+      "_ utils",
+      "_util s",
+      "_ut ils",
+      "Ġ pb",
+      "Ġp b",
+      "U ITableView",
+      "UI TableView",
+      "UIT ableView",
+      "Ġz ur",
+      "Ġzu r",
+      ". encode",
+      ".en code",
+      ".enc ode",
+      "4 16",
+      "41 6",
+      "Ġv ag",
+      "Ġva g",
+      ". errors",
+      ".error s",
+      ".err ors",
+      ".er rors",
+      "о н",
+      "оР½",
+      "Ġ mr",
+      "Ġm r",
+      "Ġ Award",
+      "ĠA ward",
+      "ĠAw ard",
+      "Ġ cpu",
+      "Ġc pu",
+      "Ġcp u",
+      "Ġ pressed",
+      "Ġp ressed",
+      "Ġpr essed",
+      "Ġpres sed",
+      "Ġpress ed",
+      "' est",
+      "'e st",
+      "'es t",
+      "ĠF estival",
+      "ĠFest ival",
+      "' T",
+      "Ġ ak",
+      "Ġa k",
+      "re solve",
+      "res olve",
+      "0 43",
+      "04 3",
+      ". me",
+      ".m e",
+      "Ġ nic",
+      "Ġn ic",
+      "Ġni c",
+      "Ġ genre",
+      "Ġgen re",
+      "Ġ attrib",
+      "Ġat trib",
+      "Ġatt rib",
+      "Ġattr ib",
+      "Ġ Moon",
+      "ĠM oon",
+      "ĠMo on",
+      "ĠMoo n",
+      "Ġar rive",
+      "Ġarr ive",
+      "Ġarriv e",
+      "Ġ Dating",
+      "ĠD ating",
+      "ĠDa ting",
+      "ĠDat ing",
+      "Ġ tm",
+      "Ġt m",
+      ". Configuration",
+      ".Config uration",
+      "5 05",
+      "50 5",
+      ". red",
+      ".re d",
+      ".r ed",
+      "Ġ glm",
+      "Ġg lm",
+      "Ġgl m",
+      "Ġ stations",
+      "Ġst ations",
+      "Ġstat ions",
+      "Ġstation s",
+      "Ġstati ons",
+      "s witch",
+      "sw itch",
+      "Ġt ied",
+      "Ġti ed",
+      "Ġtie d",
+      "äº º",
+      "Ġ /></",
+      "Ġ/ ></",
+      "Ġ/> </",
+      "Ġ/>< /",
+      "Qu antity",
+      "Quant ity",
+      "qu iry",
+      "quir y",
+      "qui ry",
+      "_ tab",
+      "_t ab",
+      "_ta b",
+      "Ġ alg",
+      "Ġa lg",
+      "Ġal g",
+      "To ast",
+      "re size",
+      "res ize",
+      "resi ze",
+      "quest ions",
+      "question s",
+      "s chema",
+      "sch ema",
+      "L iteral",
+      "Lite ral",
+      "Lit eral",
+      "Liter al",
+      "( entity",
+      "(e ntity",
+      "(ent ity",
+      "NE CTION",
+      "NECT ION",
+      "ch anged",
+      "change d",
+      "chan ged",
+      "chang ed",
+      "_ FIELD",
+      "_F IELD",
+      "_ HEIGHT",
+      "_HE IGHT",
+      "Ġ organic",
+      "Ġorg anic",
+      "Ġorgan ic",
+      "P RE",
+      "PR E",
+      "Ġ Cat",
+      "ĠC at",
+      "ĠCa t",
+      ". Draw",
+      ".D raw",
+      "E s",
+      "Ġ loud",
+      "Ġl oud",
+      "Ġlo ud",
+      "Ġlou d",
+      "6 80",
+      "68 0",
+      "Ġ ĠĠĠĠĠĠĠĉ",
+      "ĠĠ ĠĠĠĠĠĠĉ",
+      "ĠĠĠĠ ĠĠĠĠĉ",
+      "ĠĠĠĠĠĠĠĠ ĉ",
+      "ĠĠĠ ĠĠĠĠĠĉ",
+      "ĠĠĠĠĠĠĠ Ġĉ",
+      "ĠĠĠĠĠ ĠĠĠĉ",
+      "ĠĠĠĠĠĠ ĠĠĉ",
+      "Ġ Kat",
+      "ĠK at",
+      "ĠKa t",
+      "Ġ heap",
+      "Ġhe ap",
+      "âĢľ It",
+      "âĢľI t",
+      "0 70",
+      "07 0",
+      "e tr",
+      "et r",
+      "Ġ unlikely",
+      "Ġun likely",
+      "Ġunlike ly",
+      "er als",
+      "era ls",
+      "eral s",
+      "/ auth",
+      "/a uth",
+      "5 02",
+      "50 2",
+      "t odo",
+      "to do",
+      "tod o",
+      "P lace",
+      "Pl ace",
+      "Post ed",
+      "Pos ted",
+      "Po sted",
+      "Com ments",
+      "Comment s",
+      "Comm ents",
+      "Ġ Tech",
+      "ĠT ech",
+      "ĠTe ch",
+      "ĠTec h",
+      "Ġ Finally",
+      "ĠF inally",
+      "ĠFin ally",
+      "ĠFinal ly",
+      "eg ration",
+      "egr ation",
+      "egra tion",
+      "Ġ minimal",
+      "Ġmin imal",
+      "Ġmini mal",
+      "Ġminim al",
+      "Ġ Files",
+      "ĠF iles",
+      "ĠFile s",
+      "ĠFil es",
+      "ĠFi les",
+      "Ġt amb",
+      "Ġta mb",
+      "Ġtam b",
+      "ë¡ ľ",
+      "Ġ Release",
+      "ĠR elease",
+      "ĠRe lease",
+      "ĠRel ease",
+      "4 25",
+      "42 5",
+      ". resize",
+      ".re size",
+      ".res ize",
+      "Ġ Ï",
+      "c ollect",
+      "col lect",
+      "coll ect",
+      "= p",
+      "ĠLI ABLE",
+      "Ġp roducing",
+      "Ġprodu cing",
+      "Ġprod ucing",
+      "- wrapper",
+      "-w rapper",
+      "-wrap per",
+      "Ġs ingles",
+      "Ġsingle s",
+      "Ġsin gles",
+      "Ġsing les",
+      "ĠN BA",
+      "ĠNB A",
+      "o rr",
+      "or r",
+      "e ren",
+      "er en",
+      "ere n",
+      ". addAction",
+      ".add Action",
+      "Ġ thesis",
+      "Ġth esis",
+      "Ġthe sis",
+      "d n",
+      "P TY",
+      "PT Y",
+      ". des",
+      ".d es",
+      ".de s",
+      "Ġb acter",
+      "Ġba cter",
+      "Ġbac ter",
+      "Ġ Express",
+      "ĠEx press",
+      "ĠExp ress",
+      "ĠExpr ess",
+      "Ġ *)Ċ",
+      "Ġ* )Ċ",
+      "Ġ*) Ċ",
+      "å ij",
+      "/ admin",
+      "/ad min",
+      "se conds",
+      "sec onds",
+      "second s",
+      "åĬ Ł",
+      "uss ion",
+      "a beth",
+      "ab eth",
+      "abe th",
+      "abet h",
+      "Ġ Computer",
+      "ĠCom puter",
+      "ĠComp uter",
+      "ĠCompute r",
+      "ĠComput er",
+      "Ġr uling",
+      "Ġru ling",
+      "(\" ../",
+      "(\". ./",
+      "(\".. /",
+      ". GET",
+      ".G ET",
+      "ĠMe dal",
+      "ĠMed al",
+      "ition ally",
+      "itional ly",
+      "com mit",
+      "comm it",
+      "f ocus",
+      "fo cus",
+      "_ LEVEL",
+      "_LE VEL",
+      "i nda",
+      "in da",
+      "ind a",
+      "F act",
+      "Fac t",
+      "Fa ct",
+      "= np",
+      "=n p",
+      "=\" \">Ċ",
+      "=\"\" >Ċ",
+      "=\"\"> Ċ",
+      "Ġsub sequent",
+      "Ġsubsequ ent",
+      "pos able",
+      "- fluid",
+      "-fl uid",
+      "Ġth orough",
+      "Ġtho rough",
+      "Ġthor ough",
+      "Ġpublic ly",
+      "Ġpubli cly",
+      "ap ters",
+      "apt ers",
+      "apter s",
+      "Ġ Wilson",
+      "ĠWil son",
+      "_ PRE",
+      "_P RE",
+      "_PR E",
+      "y ard",
+      "ya rd",
+      "yar d",
+      "ä ¼",
+      "ĉ in",
+      "ĉi n",
+      "3 39",
+      "33 9",
+      "Ġre vers",
+      "Ġrev ers",
+      "Ġreve rs",
+      "Ġrever s",
+      "Ġ bullet",
+      "Ġb ullet",
+      "Ġbul let",
+      "Ġbull et",
+      "cri bed",
+      "cribe d",
+      "nes ota",
+      "Ġ ($_",
+      "Ġ( $_",
+      "Ġ($ _",
+      "an non",
+      "ann on",
+      "anno n",
+      "c ursor",
+      "curso r",
+      "Ġclo thing",
+      "Ġcloth ing",
+      "Ġ Multi",
+      "ĠM ulti",
+      "ĠMult i",
+      "ĠMul ti",
+      "2 87",
+      "28 7",
+      ": ',",
+      ":' ,",
+      "Ġv ess",
+      "Ġve ss",
+      "Ġves s",
+      "ord inator",
+      "ordin ator",
+      "Ġe inem",
+      "Ġein em",
+      "Ġeine m",
+      "Ġei nem",
+      "C annot",
+      "Can not",
+      "Ġ armed",
+      "Ġar med",
+      "Ġarm ed",
+      "ĉ V",
+      "ä¸ Ĭ",
+      ". Flat",
+      ".F lat",
+      ".Fl at",
+      "Ġ Sep",
+      "ĠS ep",
+      "ĠSe p",
+      "Ġ Subject",
+      "ĠSub ject",
+      "ĠSu bject",
+      "_ font",
+      "_f ont",
+      "Ġcharacter istics",
+      "Ġcharacteristic s",
+      "D one",
+      "Do ne",
+      "Don e",
+      "e ln",
+      "el n",
+      "#### ########",
+      "######## ####",
+      "##### #######",
+      "###### ######",
+      "####### #####",
+      "P OS",
+      "PO S",
+      "Ġ density",
+      "Ġd ensity",
+      "Ġdens ity",
+      "Ġ Platform",
+      "ĠPl atform",
+      "ĠPlat form",
+      "- items",
+      "-item s",
+      "-i tems",
+      "-it ems",
+      "Ġ overs",
+      "Ġo vers",
+      "Ġover s",
+      "Ġov ers",
+      "Ġp ushing",
+      "Ġpush ing",
+      "ç ¤",
+      ". Connection",
+      ".Con nection",
+      ".Connect ion",
+      ".Conn ection",
+      "_ term",
+      "_t erm",
+      "_te rm",
+      "_ter m",
+      "Ġinitial ization",
+      "________________ ________________",
+      "ç ¬",
+      ". document",
+      ".d ocument",
+      ".doc ument",
+      "l esh",
+      "le sh",
+      "les h",
+      "ĉ document",
+      "ĉd ocument",
+      "ĉdoc ument",
+      "Ġ Pin",
+      "ĠP in",
+      "ĠPi n",
+      "ç a",
+      "Ġ definitions",
+      "Ġdefinition s",
+      "Ġdefinit ions",
+      "Ġdefin itions",
+      ". Path",
+      ".P ath",
+      "_ WRITE",
+      "_W RITE",
+      "_WR ITE",
+      "Ġ ĉĊ",
+      "Ġĉ Ċ",
+      "? >ĊĊ",
+      "?> ĊĊ",
+      "?>Ċ Ċ",
+      "Ġter rible",
+      "Ġterr ible",
+      "b ean",
+      "be an",
+      "ick ets",
+      "icket s",
+      "Ġ SV",
+      "ĠS V",
+      "B uy",
+      "Bu y",
+      "( task",
+      "(t ask",
+      "Ġreg ime",
+      "g oogle",
+      "go ogle",
+      "goog le",
+      "goo gle",
+      "Ġc rack",
+      "Ġcr ack",
+      "Ġcra ck",
+      ". visit",
+      ".vis it",
+      "N UM",
+      "NU M",
+      "e nergy",
+      "en ergy",
+      "ener gy",
+      "Ġs truck",
+      "Ġstr uck",
+      "Ġstru ck",
+      "_ sample",
+      "_s ample",
+      ". payload",
+      ".p ayload",
+      ".pay load",
+      "Ġre vis",
+      "Ġrev is",
+      "Ġ Scene",
+      "ĠS cene",
+      "ĠSc ene",
+      "Ġ pg",
+      "Ġp g",
+      "Ġbreak fast",
+      "URRE NT",
+      ". charAt",
+      ".char At",
+      "_ exception",
+      "_ex ception",
+      "_except ion",
+      "ĠA nton",
+      "ĠAn ton",
+      "ĠAnt on",
+      "Ġguide lines",
+      "Ġguid elines",
+      "Ġguideline s",
+      "Ġex haust",
+      "Ġ Financial",
+      "ĠFin ancial",
+      "Ġ indent",
+      "Ġin dent",
+      "Ġind ent",
+      "Ġinde nt",
+      "Ġ desktop",
+      "Ġd esktop",
+      "Ġdes ktop",
+      "Ġdesk top",
+      "H idden",
+      "Hi dden",
+      "F ailure",
+      "Fail ure",
+      "Ġpr inciple",
+      "Ġprincip le",
+      "Ġprinc iple",
+      "Ġ iv",
+      "Ġi v",
+      "Ġs eks",
+      "Ġse ks",
+      "Ġsek s",
+      "n etwork",
+      "net work",
+      "Ġ numberOf",
+      "Ġnumber Of",
+      "Ġ Albert",
+      "ĠAl bert",
+      "ĠAlb ert",
+      "ĉ long",
+      "ĉl ong",
+      "8 01",
+      "80 1",
+      ", .",
+      "Ġ zeros",
+      "Ġz eros",
+      "Ġzero s",
+      "Ġze ros",
+      "Ġzer os",
+      "f ade",
+      "fa de",
+      "fad e",
+      "Ġ Typ",
+      "ĠT yp",
+      "ĠTy p",
+      "Ġ Term",
+      "ĠT erm",
+      "ĠTe rm",
+      "ĠTer m",
+      "ĠA rts",
+      "ĠAr ts",
+      "ĠArt s",
+      ". Application",
+      ".App lication",
+      ".Ap plication",
+      "Ġbe half",
+      "Ġbeh alf",
+      "æĪ ·",
+      "Ġ mere",
+      "Ġm ere",
+      "Ġme re",
+      "Ġmer e",
+      "( `${",
+      "(` ${",
+      "Ġaware ness",
+      "el pers",
+      "elp ers",
+      "elper s",
+      "f lix",
+      "fl ix",
+      "Ġ weigh",
+      "Ġwe igh",
+      "Ġwei gh",
+      "Ġest imates",
+      "Ġestim ates",
+      "Ġestimate s",
+      ". child",
+      ".ch ild",
+      "/ O",
+      "Ġ Bitmap",
+      "ĠB itmap",
+      "ĠBit map",
+      ". bottom",
+      ".b ottom",
+      ".bot tom",
+      "Ġ** ************************************************************************",
+      "Ġ************************************************************************ **",
+      "Ex pect",
+      "Exp ect",
+      "en to",
+      "ent o",
+      "Ġ Forum",
+      "ĠF orum",
+      "ĠFor um",
+      "ĠFo rum",
+      "v eral",
+      "ver al",
+      "ve ral",
+      "Ġj ail",
+      "Ġja il",
+      "Ġ abilities",
+      "Ġab ilities",
+      "ĠH OLD",
+      "ĠHO LD",
+      "ĠHOL D",
+      "Ġ Cit",
+      "ĠC it",
+      "ĠCi t",
+      "Ġd ynam",
+      "Ġdy nam",
+      "Ġdyn am",
+      "Ġ gray",
+      "Ġg ray",
+      "Ġgr ay",
+      "Ġgra y",
+      "ĉ ĉĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉ ĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉ ĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉ ĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉ ĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉ ĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉ ĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉ ĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉ ĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉ ĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉ ĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉ ĉ",
+      ". nextInt",
+      ".next Int",
+      "ant ly",
+      "ĠAR ISING",
+      "( private",
+      "(pr ivate",
+      "(priv ate",
+      "Ġ rejected",
+      "Ġre jected",
+      "Ġreject ed",
+      "Ġrej ected",
+      "Ġ Nic",
+      "ĠN ic",
+      "ĠNi c",
+      "Ġle ather",
+      "= {Ċ",
+      "={ Ċ",
+      "aly tics",
+      "t hetic",
+      "th etic",
+      "the tic",
+      ". Top",
+      ".T op",
+      ".To p",
+      "3 73",
+      "37 3",
+      ". Page",
+      ".P age",
+      "={ `",
+      "Ġ ;čĊ",
+      "Ġ; čĊ",
+      "de pth",
+      "dep th",
+      "dept h",
+      "m ann",
+      "man n",
+      "ma nn",
+      "W D",
+      "Ġ Som",
+      "ĠS om",
+      "ĠSo m",
+      ". Right",
+      ".R ight",
+      "Ġ )}Ċ",
+      "Ġ) }Ċ",
+      "Ġ trait",
+      "Ġt rait",
+      "Ġtr ait",
+      "Ġtra it",
+      "Ġtrai t",
+      "Ã Ĺ",
+      "i ac",
+      "ia c",
+      "Ġ rv",
+      "Ġr v",
+      "S ample",
+      "Sam ple",
+      ". Xml",
+      ".X ml",
+      "o pped",
+      "op ped",
+      "opp ed",
+      "Ġ ÑĦ",
+      "ĠÑ Ħ",
+      "l ists",
+      "li sts",
+      "list s",
+      "lis ts",
+      "Ġt ear",
+      "Ġte ar",
+      "Ġtea r",
+      "ivers ary",
+      ". collection",
+      ".c ollection",
+      ".col lection",
+      ".collect ion",
+      ".coll ection",
+      "ĠCon stitution",
+      "ĠConst itution",
+      "ĠConstit ution",
+      "Ġ HttpResponse",
+      "ĠHttp Response",
+      "Ġbr ill",
+      "Ġbri ll",
+      "Ġ Prom",
+      "ĠP rom",
+      "ĠPro m",
+      "ĠPr om",
+      "h over",
+      "ho ver",
+      "3 66",
+      "36 6",
+      "Ġ Miami",
+      "ĠM iami",
+      "ĠMi ami",
+      "ĠMia mi",
+      "Ġar gue",
+      "Ġarg ue",
+      "_ float",
+      "_f loat",
+      "5 04",
+      "50 4",
+      "Ġ ãĤ",
+      "Ġ nat",
+      "Ġn at",
+      "Ġna t",
+      "ĠT al",
+      "ĠTa l",
+      "Ġ integration",
+      "Ġint egration",
+      "Ġinteg ration",
+      "Ġintegr ation",
+      "( cur",
+      "(c ur",
+      "Ġre moving",
+      "Ġrem oving",
+      "Ġ coeff",
+      "Ġc oeff",
+      "Ġco eff",
+      "Ġcoef f",
+      "Ġ Though",
+      "ĠTh ough",
+      "ĠThou gh",
+      "Ġ forecast",
+      "Ġfor ecast",
+      "Ġfore cast",
+      "4 08",
+      "40 8",
+      "ĠV egas",
+      "ĠVe gas",
+      "ĠVega s",
+      "ĠVeg as",
+      "S ite",
+      "Si te",
+      "Sit e",
+      "3 46",
+      "34 6",
+      "Ġt rab",
+      "Ġtr ab",
+      "Ġtra b",
+      "Ġ Henry",
+      "ĠHen ry",
+      "- i",
+      "Ġinv olves",
+      "Ġinvol ves",
+      "Ġinvolve s",
+      "B T",
+      "Ġs lo",
+      "Ġsl o",
+      "In voke",
+      "Inv oke",
+      "Ġl ucky",
+      "Ġluck y",
+      "Ġlu cky",
+      "Ġluc ky",
+      "0 25",
+      "02 5",
+      "r at",
+      "ra t",
+      "Ġ ?Ċ",
+      "Ġ? Ċ",
+      "Ġ handled",
+      "Ġhand led",
+      "Ġhandle d",
+      "( fd",
+      "(f d",
+      "cont ents",
+      "content s",
+      "conte nts",
+      "Ġ OFF",
+      "ĠO FF",
+      "ĠOF F",
+      "R F",
+      "Ġ sty",
+      "Ġs ty",
+      "Ġst y",
+      "Ġ Motor",
+      "ĠM otor",
+      "ĠMo tor",
+      "ĠMot or",
+      "ĠMoto r",
+      "t ery",
+      "ter y",
+      "te ry",
+      "t ax",
+      "ta x",
+      "M AP",
+      "MA P",
+      "Ġ Mrs",
+      "ĠM rs",
+      "ĠMr s",
+      "Ġ phones",
+      "Ġph ones",
+      "Ġphone s",
+      "Ġphon es",
+      "Ġ UIView",
+      "ĠUI View",
+      "\" )));Ċ",
+      "\") ));Ċ",
+      "\")) );Ċ",
+      "\"))) ;Ċ",
+      "\"))); Ċ",
+      "( dev",
+      "(d ev",
+      "(de v",
+      "ĠI rish",
+      "ĠIr ish",
+      "ĠIris h",
+      "0 19",
+      "01 9",
+      "Ġ ws",
+      "Ġw s",
+      "D I",
+      "_ OFFSET",
+      "_OFF SET",
+      "Ġ Events",
+      "ĠE vents",
+      "ĠEvent s",
+      "ĠEven ts",
+      "ĠEv ents",
+      "ĠEve nts",
+      "Ġst ages",
+      "Ġstage s",
+      "Ġsta ges",
+      "Ġstag es",
+      "Ġ }//",
+      "Ġ} //",
+      "Ġh aben",
+      "Ġhab en",
+      "Ġha ben",
+      "Ġhabe n",
+      "ST ANCE",
+      "Ġ Sin",
+      "ĠS in",
+      "ĠSi n",
+      "Ġ Money",
+      "ĠM oney",
+      "ĠMon ey",
+      "ĠMo ney",
+      "( top",
+      "(t op",
+      "(to p",
+      "Ġ appointment",
+      "Ġapp ointment",
+      "Ġappoint ment",
+      "V ERSION",
+      "VER SION",
+      "VERS ION",
+      "m etadata",
+      "met adata",
+      "meta data",
+      "_ comment",
+      "_com ment",
+      "_comm ent",
+      "Ġcolle agues",
+      "Ġcolleague s",
+      "m aps",
+      "ma ps",
+      "map s",
+      "â ĺ",
+      "Ċ ĉĊ",
+      "( al",
+      "(a l",
+      "_ req",
+      "_re q",
+      "_r eq",
+      "Ġf ut",
+      "Ġfu t",
+      "Ġ architecture",
+      "Ġarch itecture",
+      "Ġarchitect ure",
+      "Ġarchit ecture",
+      "3 51",
+      "35 1",
+      "ĠWH ETHER",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "_ screen",
+      "_s creen",
+      "_sc reen",
+      "_scr een",
+      "Ġstyle Urls",
+      "Ġ monster",
+      "Ġmon ster",
+      ". up",
+      ".u p",
+      "ph ia",
+      "phi a",
+      "Ġ processor",
+      "Ġprocess or",
+      "Ġproc essor",
+      "Ġprocesso r",
+      "Ġ Terr",
+      "ĠT err",
+      "ĠTe rr",
+      "ĠTer r",
+      "= ',",
+      "=' ,",
+      "Ġ Manufact",
+      "ĠMan ufact",
+      "Ġ NT",
+      "ĠN T",
+      "k el",
+      "ke l",
+      "i bern",
+      "ib ern",
+      "iber n",
+      "ibe rn",
+      "ĉ file",
+      "ĉf ile",
+      "ĉfi le",
+      "A li",
+      "Al i",
+      "rient ation",
+      "Ġ //!",
+      "Ġ// !",
+      "ap ore",
+      "apor e",
+      "apo re",
+      "an eous",
+      "ane ous",
+      "Ġ Creat",
+      "ĠC reat",
+      "ĠCr eat",
+      "ĠCre at",
+      "f older",
+      "fo lder",
+      "fol der",
+      "fold er",
+      "4 15",
+      "41 5",
+      "Ġ hay",
+      "Ġh ay",
+      "Ġha y",
+      "Sup press",
+      "( left",
+      "(l eft",
+      "(le ft",
+      "Ġe uro",
+      "Ġeu ro",
+      "Ġdis claimer",
+      "u stry",
+      "us try",
+      "ust ry",
+      "ustr y",
+      "s hips",
+      "sh ips",
+      "ship s",
+      "shi ps",
+      "_ fd",
+      "_f d",
+      "Ġ Fa",
+      "ĠF a",
+      "_ insert",
+      "_in sert",
+      "_ins ert",
+      "Ġ rol",
+      "Ġr ol",
+      "Ġro l",
+      "if ting",
+      "ift ing",
+      "Ġ Comments",
+      "ĠCom ments",
+      "ĠComm ents",
+      "ĠComment s",
+      "_ br",
+      "_b r",
+      "Ġlos ses",
+      "Ġloss es",
+      "Ġ Added",
+      "ĠAd ded",
+      "ĠAdd ed",
+      "ch arg",
+      "char g",
+      "cha rg",
+      "Ġ по",
+      "Ġп о",
+      "_ system",
+      "_s ystem",
+      "_sys tem",
+      "_sy stem",
+      "Ġ Sometimes",
+      "ĠS ometimes",
+      "ĠSome times",
+      "ĠSom etimes",
+      "Ġ Spain",
+      "ĠS pain",
+      "ĠSp ain",
+      "ĠSpa in",
+      "( group",
+      "(g roup",
+      "(gr oup",
+      "i alis",
+      "ial is",
+      "ia lis",
+      "iali s",
+      "Ġd ollar",
+      "Ġdoll ar",
+      "Ġdol lar",
+      "Ġ Args",
+      "ĠAr gs",
+      "ĠArg s",
+      "4 99",
+      "49 9",
+      "2 97",
+      "29 7",
+      "qu ires",
+      "quire s",
+      "quir es",
+      "qui res",
+      "Ġ Ten",
+      "ĠT en",
+      "ĠTe n",
+      ". scss",
+      ".s css",
+      ".sc ss",
+      "Ġsurv ive",
+      "Ġsurviv e",
+      "u sage",
+      "us age",
+      "usa ge",
+      "Ġ jun",
+      "Ġj un",
+      "Ġju n",
+      "im iter",
+      "imit er",
+      "imi ter",
+      "ï¼ģ ĊĊ",
+      "ï¼ģĊ Ċ",
+      "Ġf ifth",
+      "Ġfif th",
+      "t oggle",
+      "tog gle",
+      "Ġde cline",
+      "Ġdec line",
+      "Ġdecl ine",
+      "( $\"",
+      "($ \"",
+      "( Long",
+      "(L ong",
+      "i nge",
+      "in ge",
+      "ing e",
+      "Ġp ilot",
+      "Ġpi lot",
+      "Ġpil ot",
+      "- light",
+      "-l ight",
+      "-li ght",
+      "- radius",
+      "-r adius",
+      "-rad ius",
+      "Ġp odcast",
+      "Ġpod cast",
+      "Ġn aturally",
+      "Ġnatural ly",
+      "Ġnatur ally",
+      "Ġnat urally",
+      "P ages",
+      "Page s",
+      "Pa ges",
+      "Pag es",
+      "ä¸ º",
+      "Ġ Despite",
+      "ĠDes pite",
+      "Ġl ighting",
+      "Ġlight ing",
+      "Ġ crate",
+      "Ġc rate",
+      "Ġcr ate",
+      "Ġcra te",
+      "Ġ Binary",
+      "ĠB inary",
+      "ĠBin ary",
+      "Ġred ucing",
+      "Ġredu cing",
+      "Ġe leg",
+      "Ġel eg",
+      "Ġele g",
+      "Ġ Mouse",
+      "ĠM ouse",
+      "ĠMo use",
+      "ĠMou se",
+      "ĠTest Bed",
+      "Ġbefore Each",
+      "_ ARRAY",
+      "_AR RAY",
+      "_ARR AY",
+      "Re direct",
+      "Red irect",
+      "3 29",
+      "32 9",
+      "Ġf lood",
+      "Ġfl ood",
+      "Ġflo od",
+      "Ġ ships",
+      "Ġs hips",
+      "Ġsh ips",
+      "Ġship s",
+      "3 63",
+      "36 3",
+      "Ġelectric ity",
+      "Ġelectr icity",
+      ") *(",
+      ")* (",
+      "ê ¸",
+      "Ġ Viet",
+      "ĠV iet",
+      "ĠVi et",
+      "ĠVie t",
+      "h ero",
+      "he ro",
+      "her o",
+      "Ġ dia",
+      "Ġd ia",
+      "Ġdi a",
+      "Ġ Kent",
+      "ĠK ent",
+      "ĠKe nt",
+      "ĠKen t",
+      "he art",
+      "hea rt",
+      "hear t",
+      "Ġthreat s",
+      "_ acc",
+      "_a cc",
+      "_ac c",
+      "Ġ symbols",
+      "Ġs ymbols",
+      "Ġsymbol s",
+      "Ġsymb ols",
+      "is chen",
+      "isc hen",
+      "ische n",
+      "isch en",
+      "_ inst",
+      "_in st",
+      "_i nst",
+      "_ins t",
+      "C riterion",
+      "Ġ TIM",
+      "ĠT IM",
+      "ĠTI M",
+      ". Height",
+      ".H eight",
+      ".He ight",
+      "5 80",
+      "58 0",
+      "Ġ âĢĻ",
+      "ĠâĢ Ļ",
+      "( );ĊĊĊ",
+      "() ;ĊĊĊ",
+      "();Ċ ĊĊ",
+      "();ĊĊ Ċ",
+      "(); ĊĊĊ",
+      "Product s",
+      "Produ cts",
+      "_ SP",
+      "_S P",
+      "Ġ Cy",
+      "ĠC y",
+      "Ġ dependent",
+      "Ġdep endent",
+      "Ġdepend ent",
+      "e ste",
+      "es te",
+      "est e",
+      "Ġ datos",
+      "Ġd atos",
+      "Ġda tos",
+      "Ġdat os",
+      "Ġdato s",
+      "d it",
+      "di t",
+      "а в",
+      "аР²",
+      "IG NAL",
+      "IGN AL",
+      "Ġ lesson",
+      "Ġl esson",
+      "Ġle sson",
+      "Ġless on",
+      "Ġles son",
+      "\" >'",
+      "\"> '",
+      "Ġ Cover",
+      "ĠC over",
+      "ĠCo ver",
+      "ĠCov er",
+      "ĠCove r",
+      "Ġ Hope",
+      "ĠH ope",
+      "ĠHo pe",
+      "ĠHop e",
+      "Ġ Timer",
+      "ĠT imer",
+      "ĠTime r",
+      "ĠTim er",
+      "ĠTi mer",
+      "Ġ dad",
+      "Ġd ad",
+      "Ġda d",
+      "v iders",
+      "vid ers",
+      "vider s",
+      "vi ders",
+      "vide rs",
+      "Ġ Phot",
+      "ĠP hot",
+      "ĠPh ot",
+      "/ ?",
+      "r opy",
+      "ro py",
+      "rop y",
+      "o ming",
+      "om ing",
+      "omin g",
+      "omi ng",
+      "as ion",
+      "asi on",
+      "asio n",
+      "Ġ \\(",
+      "Ġ\\ (",
+      "Ġ ET",
+      "ĠE T",
+      "Ġ Reading",
+      "ĠRe ading",
+      "ĠRead ing",
+      "Ġep isodes",
+      "Ġepisode s",
+      "Ġepis odes",
+      "l m",
+      "4 21",
+      "42 1",
+      "e cha",
+      "ec ha",
+      "ech a",
+      "Ġne uro",
+      "Ġneu ro",
+      "Ġneur o",
+      "8 20",
+      "82 0",
+      "Ġhar mon",
+      "Ġharm on",
+      "Ġlib eral",
+      "Ġliber al",
+      "- ind",
+      "-in d",
+      "-i nd",
+      "3 93",
+      "39 3",
+      "D ATA",
+      "DA TA",
+      "DAT A",
+      "Ġevery day",
+      "Ġdi vided",
+      "Ġdiv ided",
+      "Ġdivide d",
+      "Ġdivid ed",
+      "ĠActive Record",
+      "f igure",
+      "fig ure",
+      "figur e",
+      "U A",
+      "ä ¹",
+      "riend ly",
+      "t ech",
+      "te ch",
+      "tec h",
+      "6 01",
+      "60 1",
+      ". gameObject",
+      ".game Object",
+      "и ÑĤÑĮ",
+      "иÑĤ ÑĮ",
+      "3 74",
+      "37 4",
+      "Ġ moon",
+      "Ġm oon",
+      "Ġmo on",
+      "Ġmoo n",
+      "f time",
+      "ft ime",
+      "Ġ noch",
+      "Ġn och",
+      "Ġno ch",
+      "Ġnoc h",
+      "ĠT ORT",
+      "ĠTO RT",
+      "ĠTOR T",
+      "Ġ VM",
+      "ĠV M",
+      ". initial",
+      ".in itial",
+      ".init ial",
+      "( child",
+      "(ch ild",
+      "Ġmus ical",
+      "Ġmusic al",
+      "Ġmusica l",
+      "Ġ oc",
+      "Ġo c",
+      "b as",
+      "ba s",
+      "Ġ Hay",
+      "ĠH ay",
+      "ĠHa y",
+      "3 61",
+      "36 1",
+      "_ long",
+      "_l ong",
+      "_lo ng",
+      "_lon g",
+      "Ġ memset",
+      "Ġmem set",
+      "i ley",
+      "il ey",
+      "ile y",
+      "adel phia",
+      "S V",
+      "ro at",
+      "_ tx",
+      "_t x",
+      "Ġ lon",
+      "Ġl on",
+      "Ġlo n",
+      "Ġng OnInit",
+      "ĠngOn Init",
+      "b p",
+      "Ġ Golden",
+      "ĠGold en",
+      "ĠGol den",
+      "A CHE",
+      "AC HE",
+      "ACH E",
+      "Ġwor ried",
+      "a zi",
+      "az i",
+      "E ar",
+      "T ake",
+      "Ta ke",
+      "Tak e",
+      "( fp",
+      "(f p",
+      "burg h",
+      "bur gh",
+      "_ Data",
+      "_D ata",
+      "g res",
+      "gr es",
+      "gre s",
+      "Ġ Ont",
+      "ĠO nt",
+      "ĠOn t",
+      "p us",
+      "pu s",
+      "Ġ transparent",
+      "Ġtrans parent",
+      "Ġp ocket",
+      "Ġpo cket",
+      "Ġpoc ket",
+      "Ġ ram",
+      "Ġr am",
+      "Ġra m",
+      "igration s",
+      "igr ations",
+      ". čĊčĊ",
+      ".čĊ čĊ",
+      "Ġ [(",
+      "Ġ[ (",
+      "Ġadopt ed",
+      "Ġreport edly",
+      "Ġreported ly",
+      "Ġ Dream",
+      "ĠD ream",
+      "ĠDr eam",
+      "ĠDre am",
+      "Ġ }));Ċ",
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+      ".ra w",
+      "> >>>",
+      ">> >>",
+      ">>> >",
+      "3 71",
+      "37 1",
+      "Ġdem ands",
+      "Ġdemand s",
+      "el lite",
+      "ell ite",
+      "elli te",
+      "Ġ dent",
+      "Ġd ent",
+      "Ġde nt",
+      "Ġden t",
+      "Ġ Micro",
+      "ĠM icro",
+      "ĠMi cro",
+      "ĠMic ro",
+      "åı ĸ",
+      "' ][$",
+      "'] [$",
+      "'][ $",
+      "Ġ IE",
+      "ĠI E",
+      "im ension",
+      "imens ion",
+      "Ġt rem",
+      "Ġtr em",
+      "Ġtre m",
+      "6 30",
+      "63 0",
+      "Ġg ained",
+      "Ġgain ed",
+      "Ġga ined",
+      ". with",
+      ".w ith",
+      ". ok",
+      ".o k",
+      "h ou",
+      "ho u",
+      "Ġb om",
+      "Ġbo m",
+      "amp aign",
+      "ampa ign",
+      "Ġ joining",
+      "Ġjoin ing",
+      "Ġjo ining",
+      "f ish",
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+      "Ġadd Subview",
+      "8 60",
+      "86 0",
+      "Ġnor thern",
+      "Ġnorth ern",
+      ". cor",
+      ".c or",
+      ".co r",
+      "o ret",
+      "or et",
+      "ore t",
+      "D ie",
+      "Di e",
+      "i nish",
+      "in ish",
+      "ini sh",
+      "inis h",
+      "_ comp",
+      "_c omp",
+      "_com p",
+      "_co mp",
+      "Ġ attended",
+      "Ġatt ended",
+      "Ġattend ed",
+      "Ġ collapse",
+      "Ġc ollapse",
+      "Ġcoll apse",
+      "Ġcollaps e",
+      "Ġ SS",
+      "ĠS S",
+      "a cent",
+      "ace nt",
+      "ac ent",
+      "acen t",
+      "_ EQUAL",
+      "_E QUAL",
+      "_EQ UAL",
+      "Ġ Deep",
+      "ĠDe ep",
+      "ĠDee p",
+      "R GB",
+      "RG B",
+      "ĉ test",
+      "ĉt est",
+      "ol ves",
+      "olve s",
+      "olv es",
+      "u set",
+      "us et",
+      "use t",
+      "Un ityEngine",
+      "Unity Engine",
+      "w riter",
+      "write r",
+      "wr iter",
+      "Re solver",
+      "Res olver",
+      "Resolve r",
+      ", %",
+      "if ference",
+      "iff erence",
+      "iffer ence",
+      "iffe rence",
+      "_ remove",
+      "_re move",
+      "_rem ove",
+      "o nda",
+      "on da",
+      "ond a",
+      "Ġf emme",
+      "Ġfem me",
+      "3 85",
+      "38 5",
+      "de code",
+      "dec ode",
+      "Br anch",
+      "Ġ flush",
+      "Ġf lush",
+      "Ġfl ush",
+      "Ġflu sh",
+      "Ġinnov ative",
+      "T ests",
+      "Test s",
+      "Te sts",
+      "Tes ts",
+      "Ġ[' ./",
+      "Ġ['. /",
+      "Ġ covering",
+      "Ġcover ing",
+      "Ġcov ering",
+      ". admin",
+      ".ad min",
+      "ulti part",
+      "ultip art",
+      "( lambda",
+      "(l ambda",
+      " namespace",
+      "Ġ Sport",
+      "ĠS port",
+      "ĠSp ort",
+      "ĠSpo rt",
+      "ĠSpor t",
+      "Ġ !(",
+      "Ġ! (",
+      "a cles",
+      "ac les",
+      "acle s",
+      "acl es",
+      "Ġde pression",
+      "Ġdep ression",
+      "Ġdepr ession",
+      "Ġdepress ion",
+      "ĠK ong",
+      "ĠKon g",
+      "ĠKo ng",
+      "5 70",
+      "57 0",
+      "Ġ pert",
+      "Ġp ert",
+      "Ġper t",
+      "Ġpe rt",
+      "Ġ Conn",
+      "ĠC onn",
+      "ĠCon n",
+      "ĠCo nn",
+      "Ġ Otherwise",
+      "ĠOther wise",
+      "/ home",
+      "/h ome",
+      "s upported",
+      "sup ported",
+      "support ed",
+      "Ġ pink",
+      "Ġp ink",
+      "Ġpi nk",
+      "Ġpin k",
+      "Ġinv ited",
+      "Ġinvite d",
+      "Ġinvit ed",
+      "ñ os",
+      "ño s",
+      "_ enabled",
+      "_en abled",
+      "_enable d",
+      "Ġ -Ċ",
+      "Ġ- Ċ",
+      "F W",
+      "e ners",
+      "en ers",
+      "ener s",
+      "ene rs",
+      "Ġ MY",
+      "ĠM Y",
+      "Ġs uggestions",
+      "Ġsuggest ions",
+      "Ġsuggestion s",
+      "C anvas",
+      "Can vas",
+      "Ġ fer",
+      "Ġf er",
+      "Ġfe r",
+      "Ġ Marketing",
+      "ĠMark eting",
+      "ĠMarket ing",
+      "@ Test",
+      "un tu",
+      "unt u",
+      "Ġ Ven",
+      "ĠV en",
+      "ĠVe n",
+      "Ġ Cou",
+      "ĠC ou",
+      "ĠCo u",
+      "i vals",
+      "iv als",
+      "ival s",
+      "iva ls",
+      "D onald",
+      "Don ald",
+      "l imited",
+      "lim ited",
+      "limit ed",
+      "ĉ ĉĉĉĉĉĊ",
+      "ĉĉ ĉĉĉĉĊ",
+      "ĉĉĉĉ ĉĉĊ",
+      "ĉĉĉ ĉĉĉĊ",
+      "ĉĉĉĉĉ ĉĊ",
+      "ĉĉĉĉĉĉ Ċ",
+      "Ġanal yst",
+      "Ġanaly st",
+      "Ġanalys t",
+      "( entry",
+      "(en try",
+      "(ent ry",
+      "Ġrepresent ative",
+      "_ attributes",
+      "_at tributes",
+      "_attribute s",
+      "_attrib utes",
+      "Ġ fur",
+      "Ġf ur",
+      "Ġfu r",
+      ". hide",
+      ".h ide",
+      "r esp",
+      "re sp",
+      "res p",
+      "ad ores",
+      "ado res",
+      "ador es",
+      "r ides",
+      "ri des",
+      "ride s",
+      "rid es",
+      "Ġ Josh",
+      "ĠJ osh",
+      "ĠJo sh",
+      "ĠJos h",
+      "r obot",
+      "ro bot",
+      "rob ot",
+      "ĠN AT",
+      "ĠNA T",
+      "Ġs esso",
+      "Ġses so",
+      "Ġsess o",
+      "Ġint egrated",
+      "Ġinteg rated",
+      "Ġintegr ated",
+      "Ġintegrate d",
+      ": true",
+      "p arts",
+      "par ts",
+      "part s",
+      "pa rts",
+      "Ġst upid",
+      "Ġstu pid",
+      "Ġstup id",
+      ": event",
+      ":e vent",
+      "@end section",
+      "Ġ pu",
+      "Ġp u",
+      ". Table",
+      ".T able",
+      ".Tab le",
+      "Ġ Yii",
+      "ĠY ii",
+      "ĠYi i",
+      "` ;ĊĊ",
+      "`;Ċ Ċ",
+      "`; ĊĊ",
+      "Ġ clang",
+      "Ġc lang",
+      "Ġcl ang",
+      "Ġclan g",
+      "Ġcla ng",
+      "=\" \">",
+      "=\"\" >",
+      "en gan",
+      "eng an",
+      "enga n",
+      "_ parameters",
+      "_param eters",
+      "_parameter s",
+      ". internal",
+      ".in ternal",
+      ".int ernal",
+      ".inter nal",
+      "Ġ Modern",
+      "ĠMod ern",
+      "ĠMode rn",
+      "ĠModer n",
+      "Ġ metric",
+      "Ġm etric",
+      "Ġmet ric",
+      "Ġ semi",
+      "Ġs emi",
+      "Ġse mi",
+      "Ġsem i",
+      "={ {Ċ",
+      "={{ Ċ",
+      "7 07",
+      "70 7",
+      ". amazon",
+      ".a mazon",
+      ".am azon",
+      "Ġ BB",
+      "ĠB B",
+      "ain ty",
+      "aint y",
+      "ai nty",
+      "view port",
+      "3 67",
+      "36 7",
+      "Ġstart Activity",
+      "dis patch",
+      "disp atch",
+      "* ****",
+      "** ***",
+      "**** *",
+      "*** **",
+      "Ġf lav",
+      "Ġfl av",
+      "Ġfla v",
+      "iffer ent",
+      "iffe rent",
+      "3 82",
+      "38 2",
+      "[ this",
+      "[t his",
+      "Ġs take",
+      "Ġst ake",
+      "Ġsta ke",
+      "Ġarg ued",
+      "Ġargue d",
+      "v iously",
+      "vious ly",
+      "vi ously",
+      ". work",
+      ".w ork",
+      "Ġ Oak",
+      "ĠO ak",
+      "O ld",
+      "Ol d",
+      "( async",
+      "(a sync",
+      "(as ync",
+      "n otes",
+      "not es",
+      "no tes",
+      "note s",
+      "Ġ flip",
+      "Ġf lip",
+      "Ġfl ip",
+      "Ġdis ag",
+      "Ġ TE",
+      "ĠT E",
+      "ĉ error",
+      "ĉe rror",
+      "ĉerr or",
+      "< '",
+      "Ġ »ĊĊ",
+      "Ġ» ĊĊ",
+      "Ġ»Ċ Ċ",
+      "Ġ filtered",
+      "Ġfil tered",
+      "Ġfilter ed",
+      "Ġfilt ered",
+      "ĠM ach",
+      "ĠMac h",
+      "ĠMa ch",
+      "Ġ hung",
+      "Ġh ung",
+      "Ġhun g",
+      "Ġhu ng",
+      "_ dump",
+      "_d ump",
+      "_ samples",
+      "_s amples",
+      "_sample s",
+      "- dismiss",
+      "-dis miss",
+      "Ġ ray",
+      "Ġr ay",
+      "Ġra y",
+      "Im plemented",
+      "Implement ed",
+      "D K",
+      "Ġ jed",
+      "Ġj ed",
+      "Ġje d",
+      "0 90",
+      "09 0",
+      "Ġbreak s",
+      "Ġbre aks",
+      "Ġ fits",
+      "Ġf its",
+      "Ġfit s",
+      "Ġfi ts",
+      ". gr",
+      ".g r",
+      "Ġ Zero",
+      "ĠZ ero",
+      "ĠZe ro",
+      "o ro",
+      "or o",
+      "Ġequ ally",
+      "Ġequal ly",
+      "Ġeq ually",
+      "Ġ '[",
+      "Ġ' [",
+      "Ġconcern ing",
+      "< meta",
+      "<m eta",
+      "p layers",
+      "pl ayers",
+      "play ers",
+      "player s",
+      "pla yers",
+      "_ POS",
+      "_P OS",
+      "_PO S",
+      "_ sim",
+      "_s im",
+      "_si m",
+      "J an",
+      "Ja n",
+      "Ġy ours",
+      "Ġyou rs",
+      "Ġyour s",
+      "Ġyo urs",
+      "ĉ N",
+      "Ġ spir",
+      "Ġs pir",
+      "Ġsp ir",
+      "Ġspi r",
+      "Ġch ampion",
+      "Ġchamp ion",
+      "Ġ Analysis",
+      "ĠAn alysis",
+      "ĠAnal ysis",
+      "ĠAnaly sis",
+      "a pa",
+      "ap a",
+      "ĠNS Log",
+      "_ lines",
+      "_l ines",
+      "_line s",
+      "_lin es",
+      "_li nes",
+      "ñ a",
+      "ĉ ĉĠĠĠĠĠĠĠ",
+      "ĉĉ ĠĠĠĠĠĠĠ",
+      "ĉĉĠĠĠ ĠĠĠĠ",
+      "ĉĉĠ ĠĠĠĠĠĠ",
+      "ĉĉĠĠ ĠĠĠĠĠ",
+      "ĉĉĠĠĠĠ ĠĠĠ",
+      "ĉĉĠĠĠĠĠ ĠĠ",
+      "ĉĉĠĠĠĠĠĠ Ġ",
+      "8 19",
+      "81 9",
+      ". Sc",
+      ".S c",
+      "R ep",
+      "Re p",
+      "et roit",
+      "etro it",
+      "etr oit",
+      "ur able",
+      "ura ble",
+      "M IT",
+      "MI T",
+      "com pat",
+      "comp at",
+      "ow ned",
+      "own ed",
+      "_ indices",
+      "_ind ices",
+      "] ,čĊ",
+      "], čĊ",
+      "Ġdis covery",
+      "Ġdisc overy",
+      "Ġdiscover y",
+      "Ġdisco very",
+      "ĠD iego",
+      "ĠDi ego",
+      "ĠDie go",
+      "o bi",
+      "ob i",
+      ". Index",
+      ".In dex",
+      "Ġt rends",
+      "Ġtr ends",
+      "Ġtre nds",
+      "Ġtrend s",
+      "Ġtren ds",
+      "P LAY",
+      "PL AY",
+      ". no",
+      ".n o",
+      "Ġl ens",
+      "Ġle ns",
+      "Ġlen s",
+      "_ cfg",
+      "_c fg",
+      "_cf g",
+      "Ġ anno",
+      "Ġan no",
+      "Ġann o",
+      "a gan",
+      "ag an",
+      "aga n",
+      "Ġperiod s",
+      "Ġperi ods",
+      "ter ms",
+      "te rms",
+      "term s",
+      "y z",
+      "Ġatt acked",
+      "Ġattack ed",
+      "ib ration",
+      "ibr ation",
+      "PEC IAL",
+      "_ grad",
+      "_g rad",
+      "_gr ad",
+      "Ġaccord ance",
+      ".Read Line",
+      ". device",
+      ".d evice",
+      ".de vice",
+      ".dev ice",
+      "r ix",
+      "ri x",
+      ". container",
+      ".cont ainer",
+      "m ay",
+      "ma y",
+      "erc ise",
+      "Ġ Lu",
+      "ĠL u",
+      "Ġ rg",
+      "Ġr g",
+      "Ġ ÑģÑĤ",
+      "ĠÑģ ÑĤ",
+      "ĉ ĉĊĉĉĊ",
+      "ĉĉ ĊĉĉĊ",
+      "ĉĉĊ ĉĉĊ",
+      "( un",
+      "(u n",
+      "TER NAL",
+      "TERN AL",
+      "Ġ lessons",
+      "Ġless ons",
+      "Ġles sons",
+      "Ġlesson s",
+      "Ġalleg ations",
+      "Ġallegation s",
+      "Ġtrans mission",
+      ". Ref",
+      ".R ef",
+      ".Re f",
+      "M obile",
+      "Mob ile",
+      "ĠT ournament",
+      "Ġ Nut",
+      "ĠN ut",
+      "ĠNu t",
+      "Ġ Ga",
+      "ĠG a",
+      "Ġ Capital",
+      "ĠCap ital",
+      "def inition",
+      "- exp",
+      "-e xp",
+      "-ex p",
+      "c lean",
+      "cl ean",
+      "cle an",
+      "Ġf antasy",
+      "Ġfant asy",
+      "Ġfantas y",
+      "Ġenh ance",
+      "ent ence",
+      "ente nce",
+      "0 31",
+      "03 1",
+      "' ]:Ċ",
+      "'] :Ċ",
+      "']: Ċ",
+      "ack ets",
+      "acket s",
+      "Ġcele brate",
+      "Ġcelebr ate",
+      "@ \",",
+      "@\" ,",
+      "Serialize Field",
+      "Ġ arrays",
+      "Ġar rays",
+      "Ġarray s",
+      "Ġarr ays",
+      "t b",
+      "ĉ st",
+      "ĉs t",
+      "[ assembly",
+      "( reg",
+      "(r eg",
+      "(re g",
+      ". category",
+      ".c ategory",
+      "Ġimpro ving",
+      "Ġimpr oving",
+      "Ġimprov ing",
+      "Ġsa lope",
+      "Ġsal ope",
+      "Byte Array",
+      "Or iginal",
+      "Origin al",
+      "Orig inal",
+      "Ġ[ {Ċ",
+      "Ġ[{ Ċ",
+      "åĽ ŀ",
+      "Ġ Clin",
+      "ĠC lin",
+      "ĠCl in",
+      "ĠCli n",
+      "oen ix",
+      "Ġ Samsung",
+      "ĠS amsung",
+      "Ġmaint ained",
+      "Ġmaintain ed",
+      "Ġ agenda",
+      "Ġag enda",
+      "Ġage nda",
+      "f ail",
+      "fa il",
+      "Ġp resents",
+      "Ġpres ents",
+      "Ġpresent s",
+      "Ġ timing",
+      "Ġt iming",
+      "Ġtim ing",
+      "Ġti ming",
+      ". mark",
+      ".m ark",
+      ".mar k",
+      ".ma rk",
+      "' ><",
+      "'> <",
+      "Ġpro mot",
+      "Ġprom ot",
+      "Ġpromo t",
+      "Ġ incl",
+      "Ġin cl",
+      "Ġinc l",
+      "_ only",
+      "_on ly",
+      "ë¥ ¼",
+      "ĠAtt orney",
+      "- date",
+      "-d ate",
+      "-da te",
+      "-dat e",
+      "Ġ landscape",
+      "Ġl andscape",
+      "Ġland scape",
+      "Ġlands cape",
+      "Ġlandsc ape",
+      "Ġ fu",
+      "Ġf u",
+      "S Y",
+      ". prop",
+      ".p rop",
+      ".pro p",
+      ".pr op",
+      "Ġ Arr",
+      "ĠA rr",
+      "ĠAr r",
+      "p ag",
+      "pa g",
+      "Parallel Group",
+      "' :čĊ",
+      "': čĊ",
+      "Ġ logs",
+      "Ġl ogs",
+      "Ġlo gs",
+      "Ġlog s",
+      "a unch",
+      "un ci",
+      "unc i",
+      "n ama",
+      "na ma",
+      "nam a",
+      "Table Cell",
+      "iss ues",
+      "issue s",
+      ". {",
+      "e curity",
+      "ec urity",
+      "_ exec",
+      "_e xec",
+      "_ex ec",
+      "_exe c",
+      "o lds",
+      "ol ds",
+      "old s",
+      "Ġ hosts",
+      "Ġhost s",
+      "Ġho sts",
+      "Ġhos ts",
+      "Ġ proto",
+      "Ġpro to",
+      "Ġpr oto",
+      "Ġprot o",
+      "_ import",
+      "_im port",
+      "_imp ort",
+      "_ sort",
+      "_s ort",
+      "_so rt",
+      "Ġ Bow",
+      "ĠB ow",
+      "ĠBo w",
+      "Ġ Normal",
+      "ĠN ormal",
+      "ĠNor mal",
+      "ĠNorm al",
+      "Ġ Farm",
+      "ĠF arm",
+      "ĠFar m",
+      "ĠFa rm",
+      ".create ParallelGroup",
+      "R otation",
+      "Rot ation",
+      ". err",
+      ".e rr",
+      ".er r",
+      "Ġp leased",
+      "Ġplease d",
+      "Ġple ased",
+      "Ġplea sed",
+      "Ġpleas ed",
+      "it age",
+      "ita ge",
+      "itag e",
+      ". Wh",
+      ".W h",
+      "ĉ ĉĠĠĠĠ",
+      "ĉĉ ĠĠĠĠ",
+      "ĉĉĠĠĠ Ġ",
+      "ĉĉĠ ĠĠĠ",
+      "ĉĉĠĠ ĠĠ",
+      "M R",
+      "Ġ MORE",
+      "ĠM ORE",
+      "ĠMO RE",
+      "ĠMOR E",
+      "Ġ Natural",
+      "ĠN atural",
+      "ĠNat ural",
+      "ĠNatur al",
+      "_ transform",
+      "_trans form",
+      "B ASE",
+      "BA SE",
+      "en eral",
+      "ener al",
+      "ene ral",
+      "u tdown",
+      "ut down",
+      ". commons",
+      ".com mons",
+      ".common s",
+      ".comm ons",
+      "W T",
+      "Ġ aan",
+      "Ġa an",
+      "Ġaa n",
+      ". Result",
+      ".Res ult",
+      "d og",
+      "do g",
+      "Ġcl icking",
+      "Ġclick ing",
+      "Ġclic king",
+      ") ,ĊĊ",
+      "), ĊĊ",
+      "),Ċ Ċ",
+      "# line",
+      "O perator",
+      "Oper ator",
+      "Op erator",
+      "Opera tor",
+      "Ġc iv",
+      "Ġci v",
+      "Ġm erg",
+      "Ġme rg",
+      "Ġmer g",
+      "o buf",
+      "ob uf",
+      "ng then",
+      "ngth en",
+      "Ġ [{",
+      "Ġ[ {",
+      "Ġc ancell",
+      "Ġcan cell",
+      "Ġcancel l",
+      "Ġcanc ell",
+      "tr igger",
+      "tri gger",
+      ". :",
+      "W ORK",
+      "WO RK",
+      "de clare",
+      "decl are",
+      "declar e",
+      "Ġde crease",
+      "Ġdecre ase",
+      "ÅĽ ci",
+      "l oom",
+      "lo om",
+      "loo m",
+      ". None",
+      ".N one",
+      ".No ne",
+      ".Non e",
+      "Ġ MI",
+      "ĠM I",
+      "Ġ Jason",
+      "ĠJ ason",
+      "ĠJa son",
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+      "o pper",
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+      "opp er",
+      "Ġz ijn",
+      "Ġzi jn",
+      "Ġzij n",
+      "- target",
+      "-t arget",
+      "_ FUNCTION",
+      "_F UNCTION",
+      "_FUNC TION",
+      "_FUN CTION",
+      "Ġ oct",
+      "Ġo ct",
+      "Ġoc t",
+      "е ниÑı",
+      "ен иÑı",
+      "ени Ñı",
+      "åľ ¨",
+      "Ġ western",
+      "Ġwest ern",
+      "Ġwes tern",
+      "Ġcomp uters",
+      "Ġcomput ers",
+      "Ġcomputer s",
+      "Ġcompute rs",
+      "Ġ RET",
+      "ĠR ET",
+      "ĠRE T",
+      "Hash Map",
+      "[ String",
+      "[S tring",
+      "get Value",
+      "_ DATE",
+      "_D ATE",
+      "_DAT E",
+      "_DA TE",
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+      ".N ext",
+      "ĠF if",
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+      "Ġ{ ĊĊĊ",
+      "Ġ{Ċ ĊĊ",
+      "Ġ{ĊĊ Ċ",
+      "Ġ contacts",
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+      "Ġcontact s",
+      "Ġconta cts",
+      "Ġ digits",
+      "Ġd igits",
+      "Ġdig its",
+      "Ġdigit s",
+      "P rodu",
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+      "Pr odu",
+      "Prod u",
+      "Ġun usual",
+      "Ġunus ual",
+      "Ġrapid ly",
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+      "can cel",
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+      "_ parser",
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+      "Ġthe ta",
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+      "Ġs quad",
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+      "goo d",
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+      "Ġ Living",
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+      "ĠLi ving",
+      "ĠLiv ing",
+      "iz abeth",
+      "iza beth",
+      "Ġ kt",
+      "Ġk t",
+      "Ġ Dallas",
+      "ĠD allas",
+      "ĠDal las",
+      "] ],Ċ",
+      "]] ,Ċ",
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+      "Ġ />ĊĊ",
+      "Ġ/ >ĊĊ",
+      "Ġ/>Ċ Ċ",
+      "Ġ/> ĊĊ",
+      "Ġ raising",
+      "Ġr aising",
+      "Ġrais ing",
+      "Ġra ising",
+      "/ router",
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+      "36 8",
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+      "ĠC UR",
+      "ĠCU R",
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+      ".e s",
+      "Ġ fontWeight",
+      "Ġfont Weight",
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+      "(fun c",
+      "not ification",
+      "notif ication",
+      "Ġ' ../../../",
+      "Ġ'../ ../../",
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+      "Ġbla me",
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+      "Ident ity",
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+      "f ollow",
+      "fol low",
+      "Ġ arts",
+      "Ġa rts",
+      "Ġar ts",
+      "Ġart s",
+      "x s",
+      "Ġoffic ially",
+      "Ġofficial ly",
+      "Ġ Studio",
+      "ĠSt udio",
+      "ĠStud io",
+      "ĠStudi o",
+      "Ġrecommend ations",
+      "Ġrecommendation s",
+      "Ġ locale",
+      "Ġl ocale",
+      "Ġlo cale",
+      "Ġloc ale",
+      "Ġlocal e",
+      "Ġam ateur",
+      "Ġamat eur",
+      "Ġ Enable",
+      "ĠE nable",
+      "ĠEn able",
+      "Ġ caps",
+      "Ġc aps",
+      "Ġcap s",
+      "Ġca ps",
+      ". End",
+      ".E nd",
+      ".En d",
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+      "38 8",
+      "- add",
+      "-a dd",
+      "-ad d",
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+      "Ġ orange",
+      "Ġo range",
+      "Ġor ange",
+      "Ġorang e",
+      "Ġora nge",
+      "Ġoran ge",
+      "Ġ lp",
+      "Ġl p",
+      "Ġ answered",
+      "Ġanswer ed",
+      ". Grid",
+      ".G rid",
+      ".Gr id",
+      "Ġd ual",
+      "Ġdu al",
+      "Ġdua l",
+      "Ġstr ategic",
+      "Ġstrateg ic",
+      "Ġn obody",
+      "Ġno body",
+      "Ġnob ody",
+      "Ġ fatal",
+      "Ġf atal",
+      "Ġfa tal",
+      "Ġfat al",
+      "_ est",
+      "_e st",
+      "_es t",
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+      "(e l",
+      "Ġ ìł",
+      "Ġì ł",
+      "ĠB udd",
+      "ĠBu dd",
+      "ĠBud d",
+      "A IT",
+      "AI T",
+      "_ factor",
+      "_f actor",
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+      "_fact or",
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+      "-on e",
+      "-o ne",
+      "Ġ HAVE",
+      "ĠH AVE",
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+      "\" čĊčĊ",
+      "\"čĊ čĊ",
+      "7 60",
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+      "Ġd irty",
+      "Ġdir ty",
+      "Ġdirt y",
+      "Ġ Face",
+      "ĠF ace",
+      "ĠFac e",
+      "ĠFa ce",
+      "Ġ Begin",
+      "ĠB egin",
+      "ĠBe gin",
+      "ĠBeg in",
+      "Ġ Bus",
+      "ĠB us",
+      "ĠBu s",
+      "Ġ wis",
+      "Ġw is",
+      "Ġwi s",
+      "åŃ Ĺ",
+      "Ġ speaker",
+      "Ġs peaker",
+      "Ġspe aker",
+      "Ġspeak er",
+      "Ġ carrier",
+      "Ġcar rier",
+      "Ġcarr ier",
+      "Ġ Om",
+      "ĠO m",
+      "Ġhad n",
+      "Ġha dn",
+      "Al low",
+      "All ow",
+      ":: __",
+      "::_ _",
+      "Ġ verb",
+      "Ġv erb",
+      "Ġver b",
+      "Ġve rb",
+      "Ġ Complete",
+      "ĠCom plete",
+      "ĠComp lete",
+      "ĠComple te",
+      "Ġ Easy",
+      "ĠE asy",
+      "ĠEa sy",
+      "Ġb ills",
+      "Ġbill s",
+      "Ġbil ls",
+      "Ġ ĠĊĊ",
+      "ĠĠ ĊĊ",
+      "ĠĠĊ Ċ",
+      "Vert ical",
+      "Ver tical",
+      "Ġ pron",
+      "Ġp ron",
+      "Ġpro n",
+      "Ġpr on",
+      "Ġ Define",
+      "ĠDe fine",
+      "ĠDef ine",
+      "Ġ lookup",
+      "Ġlook up",
+      "variable s",
+      "vari ables",
+      "Ġp andas",
+      "Ġpan das",
+      "Ġpand as",
+      "Ġpanda s",
+      "u mes",
+      "um es",
+      "ume s",
+      "Ġin noc",
+      "Ġinn oc",
+      "Ġ setUp",
+      "Ġset Up",
+      "ĠCh ampionship",
+      "ĠChampions hip",
+      "ĠChampion ship",
+      "art ist",
+      "arti st",
+      "ĠC Type",
+      "ĠCT ype",
+      "F oundation",
+      "Found ation",
+      "๠Ī",
+      "Ġ Setup",
+      "ĠSet up",
+      "4 28",
+      "42 8",
+      "Ġ recipes",
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+      "Ġrecipe s",
+      "Ġrecip es",
+      "Ġ UIColor",
+      "ĠU IColor",
+      "ĠUI Color",
+      "Ġ Fight",
+      "ĠF ight",
+      "ĠFig ht",
+      "ĠFi ght",
+      "Ġ authorized",
+      "Ġauthor ized",
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+      "_ click",
+      "_c lick",
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+      "ĠM ountain",
+      "ĠMount ain",
+      "Ġ Doctor",
+      "ĠDo ctor",
+      "ĠDoc tor",
+      "Ġ egg",
+      "Ġe gg",
+      "Ġeg g",
+      "ĠM edicine",
+      "ĠMed icine",
+      "ĠMedic ine",
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+      "cl es",
+      "cle s",
+      "` .Ċ",
+      "`. Ċ",
+      "[ int",
+      "[i nt",
+      "[in t",
+      "d ashboard",
+      "dash board",
+      "Ġ Appro",
+      "ĠApp ro",
+      "ĠAp pro",
+      "- dr",
+      "-d r",
+      "Ġprodu ces",
+      "Ġproduce s",
+      "Ġprod uces",
+      "Ġr ental",
+      "Ġren tal",
+      "Ġrent al",
+      "Ġ reload",
+      "Ġre load",
+      "Ġr eload",
+      "Ġrel oad",
+      "3 81",
+      "38 1",
+      "Ġ arrival",
+      "Ġarr ival",
+      "Ġarriv al",
+      "s pot",
+      "sp ot",
+      "spo t",
+      "Ġunder t",
+      "Ġund ert",
+      "Ġunde rt",
+      "3 78",
+      "37 8",
+      "Ġequ ipped",
+      "Ġequip ped",
+      "Ġ proved",
+      "Ġpro ved",
+      "Ġpr oved",
+      "Ġprov ed",
+      "Ġprove d",
+      "Ġ centers",
+      "Ġcent ers",
+      "Ġcenter s",
+      "Ġcen ters",
+      "Ġ defines",
+      "Ġdef ines",
+      "Ġdefine s",
+      "Ġdefin es",
+      "al so",
+      "als o",
+      "Ġ opacity",
+      "Ġop acity",
+      "Ġ Unfortunately",
+      "ĠUn fortunately",
+      "ĠIll inois",
+      "Ġ не",
+      "Ġн е",
+      "ĠT emple",
+      "ĠTem ple",
+      "ĠTemp le",
+      "ĠTempl e",
+      "Ġ Trail",
+      "ĠT rail",
+      "ĠTr ail",
+      "ĠTra il",
+      "Ġ Kelly",
+      "ĠK elly",
+      "ĠKel ly",
+      "Ġ measurement",
+      "Ġme asurement",
+      "Ġmeasure ment",
+      "Ġmeas urement",
+      "Ġse parated",
+      "Ġsepar ated",
+      "Ġseparate d",
+      "Ġseparat ed",
+      "- circle",
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+      "He y",
+      "Ġ READ",
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+      "ig its",
+      "igit s",
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+      "Ġ ib",
+      "Ġi b",
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+      "ĠM OD",
+      "ĠMO D",
+      "at tery",
+      "att ery",
+      "atter y",
+      "atte ry",
+      "а з",
+      "аР·",
+      "Ġv end",
+      "Ġve nd",
+      "Ġven d",
+      "е нÑĤ",
+      "ен ÑĤ",
+      "Ġ HttpClient",
+      "ĠHttp Client",
+      "3 59",
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+      "ĠCon struct",
+      "ĠConstr uct",
+      "Ġ Clo",
+      "ĠC lo",
+      "ĠCl o",
+      "Ġ Six",
+      "ĠS ix",
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+      "_ TOKEN",
+      "_T OKEN",
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+      "Ġmar g",
+      "Ġma rg",
+      "e rase",
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+      "era se",
+      "eras e",
+      "Ġdis plays",
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+      "istr ator",
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+      "get s",
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+      "Ġg tk",
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+      "_ GENER",
+      "_G ENER",
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+      "_GE NER",
+      "n ed",
+      "ne d",
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+      "ĠB ru",
+      "ĠBr u",
+      "Ġ á",
+      "ĠÃ ¡",
+      "second ary",
+      "Ġ mast",
+      "Ġm ast",
+      "Ġma st",
+      "Ġmas t",
+      "Ġs oph",
+      "Ġso ph",
+      "Ġsop h",
+      "Ġ Safety",
+      "ĠS afety",
+      "ĠSaf ety",
+      "ĠSafe ty",
+      "h ard",
+      "ha rd",
+      "har d",
+      "0 62",
+      "06 2",
+      "r aise",
+      "ra ise",
+      "rais e",
+      "rai se",
+      "Ġ Exchange",
+      "ĠEx change",
+      "Ġcon temporary",
+      "Ġcont emporary",
+      "Ġcontempor ary",
+      "Ġdream s",
+      "Ġdre ams",
+      "Ġ tel",
+      "Ġt el",
+      "Ġte l",
+      "Ġ neighbors",
+      "Ġne ighbors",
+      "Ġneighb ors",
+      "Ġneighbor s",
+      "Ġ Holy",
+      "ĠH oly",
+      "ĠHol y",
+      "ĠHo ly",
+      "3 83",
+      "38 3",
+      ". mean",
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+      ".me an",
+      "8 10",
+      "81 0",
+      "e mit",
+      "em it",
+      "emi t",
+      "Ġ Mess",
+      "ĠM ess",
+      "ĠMe ss",
+      "ĠMes s",
+      "C ast",
+      "Ca st",
+      "Cas t",
+      "N ECT",
+      "NE CT",
+      "pl ugins",
+      "plugin s",
+      "plug ins",
+      "Ġ rb",
+      "Ġr b",
+      "w r",
+      "Ġ hub",
+      "Ġh ub",
+      "Ġhu b",
+      "Ġ Studies",
+      "ĠSt udies",
+      "ĠStud ies",
+      "ĠStudi es",
+      "5 62",
+      "56 2",
+      "Ġpos session",
+      "Ġposs ession",
+      "Ġpossess ion",
+      "$ ('.",
+      "$( '.",
+      "$(' .",
+      "ens itive",
+      "Ġadd Criterion",
+      "_ _.",
+      "__ .",
+      "Ġexpert ise",
+      "A rch",
+      "Ar ch",
+      "Arc h",
+      "Ġc ub",
+      "Ġcu b",
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+      "erv ers",
+      "erver s",
+      "erve rs",
+      "Ġ particles",
+      "Ġp articles",
+      "Ġpart icles",
+      "Ġpartic les",
+      "Ġparticle s",
+      "Ġparti cles",
+      "u ar",
+      "ua r",
+      "Ġ boundary",
+      "Ġb oundary",
+      "Ġbound ary",
+      ") ',",
+      ")' ,",
+      "a jo",
+      "aj o",
+      "Ġ pref",
+      "Ġp ref",
+      "Ġpr ef",
+      "Ġpre f",
+      ": `",
+      "Ġhar ass",
+      "i u",
+      "Ġre aching",
+      "Ġreach ing",
+      "Ġ meg",
+      "Ġm eg",
+      "Ġme g",
+      "Ġ zo",
+      "Ġz o",
+      "( ID",
+      "(I D",
+      "_ required",
+      "_re quired",
+      "_require d",
+      "Ġs é",
+      "Ġ Queue",
+      "ĠQ ueue",
+      "ĠQue ue",
+      "A O",
+      "Ġ gem",
+      "Ġg em",
+      "Ġge m",
+      "8 12",
+      "81 2",
+      "p ton",
+      "pt on",
+      "pto n",
+      "8 80",
+      "88 0",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "6 60",
+      "66 0",
+      "i jk",
+      "ij k",
+      "( {čĊ",
+      "({ čĊ",
+      "Ġ collision",
+      "Ġc ollision",
+      "Ġcoll ision",
+      "ĠU kraine",
+      "ĠUkr aine",
+      "ĠUkrain e",
+      "ĠUkra ine",
+      "Ġ-* -Ċ",
+      "Ġ-*- Ċ",
+      "NS Integer",
+      "_ BLOCK",
+      "_B LOCK",
+      "_BL OCK",
+      "5 67",
+      "56 7",
+      "Ġ Texture",
+      "ĠText ure",
+      "ĠTex ture",
+      "Ġdec lined",
+      "Ġdecl ined",
+      "Ġdecline d",
+      "n an",
+      "na n",
+      "_ wait",
+      "_w ait",
+      "Ġpolit icians",
+      "Ġpolitician s",
+      "Ġpolitic ians",
+      "4 13",
+      "41 3",
+      "Ġ coins",
+      "Ġc oins",
+      "Ġco ins",
+      "Ġcoin s",
+      "Ġcoi ns",
+      "Ġ deriv",
+      "Ġde riv",
+      "Ġder iv",
+      "h elper",
+      "help er",
+      "hel per",
+      "Ġ Perhaps",
+      "ĠPer haps",
+      ". rect",
+      ".re ct",
+      ".r ect",
+      ".rec t",
+      "Ġ Poly",
+      "ĠP oly",
+      "ĠPol y",
+      "ĠPo ly",
+      "a bling",
+      "ab ling",
+      "abl ing",
+      "} />Ċ",
+      "}/ >Ċ",
+      "}/> Ċ",
+      "Ġin novation",
+      "Ġinn ovation",
+      "Ġinnov ation",
+      "_ \"",
+      "Ġ );čĊčĊ",
+      "Ġ) ;čĊčĊ",
+      "Ġ); čĊčĊ",
+      "Ġ);čĊ čĊ",
+      "Ġ spots",
+      "Ġsp ots",
+      "Ġspot s",
+      "Ġspo ts",
+      "Ġcho osing",
+      ". cs",
+      ".c s",
+      "Ġf lexible",
+      "Ġflex ible",
+      "U Int",
+      "UI nt",
+      "4 35",
+      "43 5",
+      "9 30",
+      "93 0",
+      "Ġ scratch",
+      "Ġs cratch",
+      "Ġscr atch",
+      "- al",
+      "-a l",
+      "Ġf estival",
+      "Ġfest ival",
+      "Ġout standing",
+      "================ ================================",
+      "================================ ================",
+      "M ean",
+      "Me an",
+      "Ġ Oregon",
+      "ĠO regon",
+      "ĠOre gon",
+      "s ymbol",
+      "sym bol",
+      ". account",
+      ".a ccount",
+      ".ac count",
+      ".acc ount",
+      "d ney",
+      "dn ey",
+      "' ''",
+      "'' '",
+      "! \",",
+      "!\" ,",
+      "9 01",
+      "90 1",
+      "Ġ particle",
+      "Ġp article",
+      "Ġpart icle",
+      "Ġpartic le",
+      "Ġparti cle",
+      "Ã ĥ",
+      "[ MAX",
+      "[M AX",
+      "I VER",
+      "IV ER",
+      "IVE R",
+      "ER ENCE",
+      "NS Mutable",
+      "ĠC olumbia",
+      "ĠColum bia",
+      "_ ĊĊ",
+      "_Ċ Ċ",
+      ". fr",
+      ".f r",
+      "Ġc ogn",
+      "Ġco gn",
+      "Ġcog n",
+      "V R",
+      "Ġ Methods",
+      "ĠMethod s",
+      "ĠMeth ods",
+      "Ġ Made",
+      "ĠM ade",
+      "ĠMad e",
+      "ĠMa de",
+      "Ġ BR",
+      "ĠB R",
+      "Ġ Else",
+      "ĠE lse",
+      "ĠEl se",
+      "Ġeg gs",
+      "Ġegg s",
+      "Ġ swing",
+      "Ġs wing",
+      "Ġsw ing",
+      "Ġ Inv",
+      "ĠI nv",
+      "ĠIn v",
+      "Ġdise ases",
+      "Ġdisease s",
+      "Ġf irms",
+      "Ġfirm s",
+      "Ġfi rms",
+      "Ġfir ms",
+      "Ġ lemma",
+      "Ġl emma",
+      "Ġle mma",
+      "Ġlem ma",
+      "} `);Ċ",
+      "}` );Ċ",
+      "l ings",
+      "ling s",
+      "lin gs",
+      "Ġg ym",
+      "Ġgy m",
+      "umin um",
+      "umi num",
+      ". Trim",
+      ".T rim",
+      ".Tr im",
+      "M em",
+      "Me m",
+      "Ġcrit icism",
+      "Ġcritic ism",
+      "ibern ate",
+      "_ TX",
+      "_T X",
+      "i oni",
+      "ion i",
+      "io ni",
+      "Ġguid ance",
+      "Ġgui dance",
+      "Ġrepeated ly",
+      "Ġrepeat edly",
+      "Ġ supplier",
+      "Ġs upplier",
+      "Ġsup plier",
+      "Ġsuppl ier",
+      "Ġsupp lier",
+      "Ġp ainting",
+      "Ġpaint ing",
+      "Ġpain ting",
+      "8 64",
+      "86 4",
+      ". Fragment",
+      ".F ragment",
+      "ed Exception",
+      "Ġw iring",
+      "Ġwir ing",
+      "Ġwi ring",
+      "Ġcour ts",
+      "Ġcou rts",
+      "Ġcourt s",
+      "W EB",
+      "WE B",
+      "æľ ī",
+      "\\ .",
+      "ill ance",
+      "illa nce",
+      "Ġb rows",
+      "Ġbr ows",
+      "Ġbro ws",
+      "Ġbrow s",
+      "Ġ Pattern",
+      "ĠP attern",
+      "ĠPat tern",
+      "ĠPatt ern",
+      "PL ICATION",
+      "PLIC ATION",
+      "Ġ Summer",
+      "ĠS ummer",
+      "ĠSum mer",
+      "Ch ain",
+      "Cha in",
+      "Ġc ute",
+      "Ġcut e",
+      "Ġcu te",
+      "m ercial",
+      "mer cial",
+      "merc ial",
+      "Ġd il",
+      "Ġdi l",
+      "ĠFrank lin",
+      "ĉ global",
+      "ĉg lobal",
+      "IN CLUDING",
+      "h istory",
+      "hi story",
+      "hist ory",
+      "histor y",
+      "Ġ lst",
+      "Ġl st",
+      "Ġls t",
+      "Q t",
+      "S DL",
+      "SD L",
+      "a lia",
+      "al ia",
+      "ali a",
+      "i ere",
+      "ie re",
+      "ier e",
+      "( ...",
+      "(. ..",
+      "(.. .",
+      "ĉ cin",
+      "ĉc in",
+      "if fs",
+      "iff s",
+      "v elope",
+      "ve lope",
+      "vel ope",
+      "velop e",
+      "Ġ Root",
+      "ĠR oot",
+      "ĠRo ot",
+      "ĠRoo t",
+      "cl uster",
+      "clus ter",
+      "User Name",
+      "i gne",
+      "ig ne",
+      "ign e",
+      "< S",
+      "Ġ fest",
+      "Ġf est",
+      "Ġfe st",
+      "4 19",
+      "41 9",
+      "Ġindic ating",
+      "Ġindica ting",
+      "k eeper",
+      "ke eper",
+      "keep er",
+      "kee per",
+      "Ġc ada",
+      "Ġca da",
+      "Ġcad a",
+      "é g",
+      "con sin",
+      "cons in",
+      "Ġ GB",
+      "ĠG B",
+      "Ġ lb",
+      "Ġl b",
+      "e mony",
+      "em ony",
+      "emo ny",
+      "emon y",
+      "- icons",
+      "-icon s",
+      "-i cons",
+      "_ doc",
+      "_d oc",
+      "_do c",
+      "A ctor",
+      "Act or",
+      "Ac tor",
+      "e lem",
+      "el em",
+      "ele m",
+      ". Delete",
+      ".De lete",
+      "Ġin fection",
+      "Ġinf ection",
+      "Ġinfect ion",
+      "Ġ Privacy",
+      "ĠPriv acy",
+      "Ġgreat ly",
+      "Ġ Pos",
+      "ĠP os",
+      "ĠPo s",
+      "ĠT reat",
+      "ĠTr eat",
+      "ĠTre at",
+      "F low",
+      "Fl ow",
+      "Flo w",
+      "Ġat tractive",
+      "Ġattr active",
+      "Ġattract ive",
+      "Ġ Marc",
+      "ĠM arc",
+      "ĠMar c",
+      "ĠMa rc",
+      "s udo",
+      "su do",
+      "t esy",
+      "te sy",
+      "tes y",
+      "- an",
+      "-a n",
+      "9 98",
+      "99 8",
+      "ab ama",
+      "aba ma",
+      "Ġ Would",
+      "ĠW ould",
+      "ĠWo uld",
+      "Ġs uck",
+      "Ġsu ck",
+      "Ġsuc k",
+      "index Path",
+      "Ġ Et",
+      "ĠE t",
+      "T imes",
+      "Time s",
+      "Tim es",
+      "Ti mes",
+      "7 80",
+      "78 0",
+      "Ġ clubs",
+      "Ġcl ubs",
+      "Ġclub s",
+      "_ assoc",
+      "_as soc",
+      "_ass oc",
+      "Ġac quired",
+      "Ġacqu ired",
+      "Ġacquire d",
+      "( \":",
+      "(\" :",
+      "Ġint ense",
+      "Ġintens e",
+      ". maps",
+      ".m aps",
+      ".map s",
+      ".ma ps",
+      "Ex pected",
+      "Exp ected",
+      "Expect ed",
+      "T oggle",
+      "Ġ ay",
+      "Ġa y",
+      "Ġl ifestyle",
+      "Ġlife style",
+      "Ġlif estyle",
+      "- called",
+      "-c alled",
+      "-cal led",
+      "-call ed",
+      "Ġ Snow",
+      "ĠS now",
+      "ĠSn ow",
+      "ĠSno w",
+      "V olume",
+      "Vol ume",
+      "Ġcann abis",
+      "Ġ Direction",
+      "ĠD irection",
+      "ĠDirect ion",
+      "ĠDi rection",
+      "ĠDir ection",
+      "ĠDire ction",
+      "Ġ Limited",
+      "ĠL imited",
+      "ĠLim ited",
+      "ĠLimit ed",
+      "- specific",
+      "-s pecific",
+      "-spec ific",
+      "Ġd owntown",
+      "Ġdown town",
+      "Ġdownt own",
+      "/ icons",
+      "/i cons",
+      "/icon s",
+      "/ic ons",
+      "Ġre ven",
+      "Ġr even",
+      "Ġrev en",
+      "Ġreve n",
+      "L eg",
+      "Le g",
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+      "S Error",
+      "SE rror",
+      "Ġf ingers",
+      "Ġfin gers",
+      "Ġfinger s",
+      "Ġfing ers",
+      "Ġac company",
+      "Ġaccom pany",
+      "Ġaccomp any",
+      "Ġt ired",
+      "Ġti red",
+      "Ġtire d",
+      "Ġtir ed",
+      "Ġ stride",
+      "Ġst ride",
+      "Ġstr ide",
+      "Ġstri de",
+      "Ġ gui",
+      "Ġg ui",
+      "Ġgu i",
+      "e list",
+      "el ist",
+      "eli st",
+      "L ocale",
+      "Lo cale",
+      "Local e",
+      "Loc ale",
+      "Ġre leases",
+      "Ġrelease s",
+      "Ġrele ases",
+      "i king",
+      "ik ing",
+      "iki ng",
+      "Ġ anger",
+      "Ġa nger",
+      "Ġan ger",
+      "Ġang er",
+      "Ġange r",
+      ") ))ĊĊ",
+      ")) )ĊĊ",
+      ")))Ċ Ċ",
+      "))) ĊĊ",
+      "al lest",
+      "all est",
+      "alle st",
+      "alles t",
+      "Sum mary",
+      "( O",
+      "( for",
+      "(f or",
+      "Ġbasket ball",
+      "Ġ roads",
+      "Ġro ads",
+      "Ġroad s",
+      "Ġ Install",
+      "ĠInst all",
+      "Ġ Fab",
+      "ĠF ab",
+      "ĠFa b",
+      "it map",
+      "itm ap",
+      "4 75",
+      "47 5",
+      "Ġ ))Ċ",
+      "Ġ) )Ċ",
+      "Ġ)) Ċ",
+      "Ġ intersection",
+      "Ġinter section",
+      "Ġintersect ion",
+      "Ġinters ection",
+      "igh bor",
+      "ighb or",
+      "ĠB ry",
+      "ĠBr y",
+      "Ġ HERE",
+      "ĠH ERE",
+      "ĠHE RE",
+      "ĠHER E",
+      "S oftware",
+      "So ftware",
+      "Soft ware",
+      "el fare",
+      "elf are",
+      "a cs",
+      "ac s",
+      "6 22",
+      "62 2",
+      "Ġtr ailer",
+      "Ġtrail er",
+      "Ġtra iler",
+      "Ġtrai ler",
+      ". getClass",
+      ".get Class",
+      ".getC lass",
+      "ch ars",
+      "char s",
+      "cha rs",
+      "Ġreg ulation",
+      "Ġregul ation",
+      "Ġre fers",
+      "Ġref ers",
+      "Ġrefer s",
+      "Ġd estruction",
+      "Ġde struction",
+      "Ġdestruct ion",
+      "Ġ continuous",
+      "Ġcontin uous",
+      "Ġcontinu ous",
+      "Ġ Austin",
+      "ĠA ustin",
+      "ĠAust in",
+      "ĠAus tin",
+      "ĠAu stin",
+      "é ¢",
+      "a kan",
+      "ak an",
+      "aka n",
+      ". window",
+      ".w indow",
+      ".wind ow",
+      "Ġ Templates",
+      "ĠT emplates",
+      "ĠTem plates",
+      "ĠTemplate s",
+      "ĠTemp lates",
+      "ĠTempl ates",
+      "Ġabs ence",
+      ": n",
+      "Ġdis order",
+      "f lash",
+      "fl ash",
+      "Ġde let",
+      "Ġdel et",
+      "Ġdele t",
+      "bo ards",
+      "board s",
+      "Ġ Ġĉ",
+      "ĠĠ ĉ",
+      "R OP",
+      "RO P",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "Ġac qu",
+      "Ġlaw suit",
+      "Ġlaws uit",
+      "Ġ Reviews",
+      "ĠRe views",
+      "ĠReview s",
+      "Ġgar age",
+      "Ġga rage",
+      "t imer",
+      "time r",
+      "ti mer",
+      "tim er",
+      "Ġ ej",
+      "Ġe j",
+      "Ġ Rectangle",
+      "ĠRect angle",
+      "Ġ flowers",
+      "Ġfl owers",
+      "Ġflow ers",
+      "Ġflo wers",
+      "Ġflower s",
+      "3 98",
+      "39 8",
+      "i lst",
+      "il st",
+      "ils t",
+      "Ġ Instance",
+      "ĠIn stance",
+      "ĠInst ance",
+      "S uper",
+      "Sup er",
+      "Su per",
+      "d et",
+      "de t",
+      "dis posing",
+      "disp osing",
+      "Ġ ES",
+      "ĠE S",
+      "Ġ IC",
+      "ĠI C",
+      "v ere",
+      "ver e",
+      "ve re",
+      "S k",
+      "_ channels",
+      "_ch annels",
+      "_channel s",
+      "_chan nels",
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+      "put ed",
+      "pu ted",
+      "pute d",
+      "/ null",
+      "/n ull",
+      "n nen",
+      "nn en",
+      "4 31",
+      "43 1",
+      "Ġ Gallery",
+      "ĠG allery",
+      "ĠGall ery",
+      "_ global",
+      "_g lobal",
+      "_glob al",
+      "Auth entication",
+      "Ġ Rank",
+      "ĠR ank",
+      "ĠRa nk",
+      "ĠRan k",
+      "Ġ blocked",
+      "Ġb locked",
+      "Ġbl ocked",
+      "Ġblock ed",
+      "Ġbloc ked",
+      "Ġc alm",
+      "Ġcal m",
+      "Ġca lm",
+      "m arket",
+      "mark et",
+      "mar ket",
+      "ĉ val",
+      "ĉv al",
+      "ĉva l",
+      "Ġ aug",
+      "Ġa ug",
+      "Ġau g",
+      "p eriod",
+      "per iod",
+      "peri od",
+      "Ġ Constant",
+      "ĠCon stant",
+      "ĠCons tant",
+      "ĠConst ant",
+      "Ġ ?>\">Ċ",
+      "Ġ?> \">Ċ",
+      "Ġ?>\" >Ċ",
+      "Ġ?>\"> Ċ",
+      "Ġ lobby",
+      "Ġl obby",
+      "Ġlob by",
+      "p al",
+      "pa l",
+      "3 79",
+      "37 9",
+      "Ġ sink",
+      "Ġs ink",
+      "Ġsi nk",
+      "Ġsin k",
+      "5 08",
+      "50 8",
+      "i ah",
+      "ia h",
+      "Ð ¡",
+      "ur name",
+      "urn ame",
+      "Ġcon ver",
+      "Ġconv er",
+      "Ġinvest igate",
+      "Ġinvestig ate",
+      "Ch rist",
+      "Chris t",
+      "Chr ist",
+      "H ub",
+      "Hu b",
+      "Ġ IND",
+      "ĠI ND",
+      "ĠIN D",
+      "Ġ Ped",
+      "ĠP ed",
+      "ĠPe d",
+      "u ras",
+      "ur as",
+      "ura s",
+      "ĉ url",
+      "ĉu rl",
+      "Ġ Tro",
+      "ĠT ro",
+      "ĠTr o",
+      "Ġ preferences",
+      "Ġp references",
+      "Ġpre ferences",
+      "Ġprefer ences",
+      "Ġpreference s",
+      "Ġguar anteed",
+      "Ġguarante ed",
+      "Ġguarantee d",
+      "` ĊĊ",
+      "`Ċ Ċ",
+      "Ġport ions",
+      "Ġportion s",
+      "Ġe valu",
+      "Ġev alu",
+      "Ġeval u",
+      "' ></",
+      "'> </",
+      "'>< /",
+      "( ){ĊĊ",
+      "() {ĊĊ",
+      "(){Ċ Ċ",
+      "(){ ĊĊ",
+      "en coded",
+      "enc oded",
+      "encode d",
+      "enco ded",
+      "z illa",
+      "zi lla",
+      ". Class",
+      ".C lass",
+      ".Cl ass",
+      "Ġ *_",
+      "Ġ* _",
+      "_ '",
+      "Ġview ed",
+      "Ġvi ewed",
+      "Ġvie wed",
+      "Ġ Philadelphia",
+      "ĠPhil adelphia",
+      ". rows",
+      ".r ows",
+      ".row s",
+      ".ro ws",
+      "Add ed",
+      "Ad ded",
+      "Ġ Touch",
+      "ĠT ouch",
+      "ĠTo uch",
+      "ĠTou ch",
+      "8 40",
+      "84 0",
+      ". delegate",
+      ".de legate",
+      "quee ze",
+      "s lide",
+      "sl ide",
+      "Ġ Senior",
+      "ĠSen ior",
+      "( tag",
+      "(t ag",
+      "Ġinter views",
+      "Ġinterview s",
+      "Ġs ua",
+      "Ġsu a",
+      "a tas",
+      "at as",
+      "ata s",
+      "@ ĊĊ",
+      "@Ċ Ċ",
+      "d istance",
+      "di stance",
+      "dist ance",
+      "Ġ sein",
+      "Ġs ein",
+      "Ġse in",
+      "Ġsei n",
+      "l atest",
+      "la test",
+      "late st",
+      "lat est",
+      "lates t",
+      "Ġ Prince",
+      "ĠPr ince",
+      "ĠPri nce",
+      "Ġlux ury",
+      "Ġre fr",
+      "Ġref r",
+      "Ġ Kitchen",
+      "ĠK itchen",
+      "ĠKit chen",
+      "Ñ Ħ",
+      "( at",
+      "(a t",
+      "F inal",
+      "Fin al",
+      "Fi nal",
+      "ü ck",
+      "üc k",
+      "_ zero",
+      "_z ero",
+      "Ġ ABC",
+      "ĠA BC",
+      "ĠAB C",
+      "Ġ Manchester",
+      "ĠMan chester",
+      "Ġ cow",
+      "Ġc ow",
+      "Ġco w",
+      "C OL",
+      "CO L",
+      "_ NUMBER",
+      "_NUM BER",
+      "ch anges",
+      "change s",
+      "chan ges",
+      "chang es",
+      "g enerate",
+      "gen erate",
+      "gener ate",
+      "gene rate",
+      ". Printf",
+      ".Print f",
+      "3 69",
+      "36 9",
+      "s hare",
+      "sh are",
+      "sha re",
+      "St ock",
+      "Ġ PT",
+      "ĠP T",
+      "A nim",
+      "An im",
+      "a nga",
+      "an ga",
+      "ang a",
+      "Ġ ig",
+      "Ġi g",
+      "up loads",
+      "upload s",
+      "Ġ packed",
+      "Ġp acked",
+      "Ġpack ed",
+      "Ġpac ked",
+      "Ġ }];Ċ",
+      "Ġ} ];Ċ",
+      "Ġ}] ;Ċ",
+      "( sender",
+      "(s ender",
+      "(se nder",
+      "(send er",
+      "Ġ Wire",
+      "ĠW ire",
+      "ĠWi re",
+      "ĠWir e",
+      "i sons",
+      "is ons",
+      "ison s",
+      "iso ns",
+      "Ġplay off",
+      "\\ E",
+      "6 08",
+      "60 8",
+      "/ R",
+      "Ġ headed",
+      "Ġhe aded",
+      "Ġhead ed",
+      "Al pha",
+      "( order",
+      "(ord er",
+      "(or der",
+      "Ġop ponents",
+      "Ġopp onents",
+      "Ġoppon ents",
+      "Ġopponent s",
+      "ack son",
+      "acks on",
+      "_ member",
+      "_m ember",
+      "_mem ber",
+      "T urn",
+      "Tur n",
+      "Tu rn",
+      "ĠSov iet",
+      "ìĹ IJ",
+      "a uge",
+      "au ge",
+      "aug e",
+      "4 48",
+      "44 8",
+      "Ġ incoming",
+      "Ġin coming",
+      "Ġinc oming",
+      "Ġincom ing",
+      "Ġ jak",
+      "Ġj ak",
+      "Ġja k",
+      "- game",
+      "-g ame",
+      "Ġ Male",
+      "ĠM ale",
+      "ĠMal e",
+      "ĠMa le",
+      "Ġ Month",
+      "ĠM onth",
+      "ĠMon th",
+      "ĠMo nth",
+      "ĠMont h",
+      "St age",
+      ". exe",
+      ".e xe",
+      ".ex e",
+      "Own Property",
+      ". setItem",
+      ".set Item",
+      "Ġ dc",
+      "Ġd c",
+      "ä½ ľ",
+      "Ġb rut",
+      "Ġbr ut",
+      "Ġbru t",
+      "Ġattempt ing",
+      ". len",
+      ".l en",
+      ".le n",
+      "Ġjud gment",
+      "Ġs ab",
+      "Ġsa b",
+      "Ġ cad",
+      "Ġc ad",
+      "Ġca d",
+      "Ġ Items",
+      "ĠI tems",
+      "ĠIt ems",
+      "ĠItem s",
+      "com fort",
+      "el ize",
+      "eli ze",
+      "/ log",
+      "/l og",
+      "/lo g",
+      "Ġentre prene",
+      "Ġ compiler",
+      "Ġc ompiler",
+      "Ġcom piler",
+      "Ġcomp iler",
+      "Ġcompile r",
+      "Ġcompil er",
+      "_ validation",
+      "_valid ation",
+      "r eview",
+      "re view",
+      "rev iew",
+      "Ġ textBox",
+      "Ġtext Box",
+      "Ġ fraction",
+      "Ġf raction",
+      "Ġfr action",
+      "Ġfra ction",
+      "Ġfract ion",
+      "Ġfrac tion",
+      "Ġ Bal",
+      "ĠB al",
+      "ĠBa l",
+      "> ;ĊĊ",
+      ">;Ċ Ċ",
+      ">; ĊĊ",
+      ".AutoScale Mode",
+      "Ġ cats",
+      "Ġc ats",
+      "Ġca ts",
+      "Ġcat s",
+      "4 65",
+      "46 5",
+      "Ġ registry",
+      "Ġreg istry",
+      "Ġregistr y",
+      "Ġregist ry",
+      "u lus",
+      "ul us",
+      "ulu s",
+      "F I",
+      "p ayload",
+      "pay load",
+      "- search",
+      "-s earch",
+      "-se arch",
+      "Ġst aying",
+      "Ġstay ing",
+      "Ġsta ying",
+      "ac ious",
+      "aci ous",
+      "acio us",
+      "De coration",
+      "Dec oration",
+      "Decor ation",
+      "R eview",
+      "Re view",
+      "Rev iew",
+      "I nf",
+      "In f",
+      "Ke ep",
+      "it is",
+      "iti s",
+      ", String",
+      ",S tring",
+      "C oord",
+      "Co ord",
+      "Ġp ero",
+      "Ġper o",
+      "Ġpe ro",
+      "S ex",
+      "Se x",
+      "Ġ Atlanta",
+      "ĠAtl anta",
+      "u esta",
+      "ue sta",
+      "ues ta",
+      "uest a",
+      "A rgb",
+      "Arg b",
+      "Ar gb",
+      "> *",
+      "} _",
+      "F ooter",
+      "Foo ter",
+      "Foot er",
+      "Fo oter",
+      "Ġ employed",
+      "Ġemploy ed",
+      "_ bound",
+      "_b ound",
+      "_bo und",
+      "v ide",
+      "vid e",
+      "vi de",
+      ". func",
+      ".f unc",
+      ".fun c",
+      "$ scope",
+      "$s cope",
+      "Ġ spo",
+      "Ġs po",
+      "Ġsp o",
+      "Ġ Anal",
+      "ĠA nal",
+      "ĠAn al",
+      "ĠAna l",
+      "oun ced",
+      "ounc ed",
+      "ounce d",
+      "a round",
+      "ar ound",
+      "aro und",
+      "Ġ restriction",
+      "Ġre striction",
+      "Ġrestrict ion",
+      "Ġrestr iction",
+      "Ġ shops",
+      "Ġsh ops",
+      "Ġshop s",
+      "Ġsho ps",
+      "å Ģ",
+      "Ġ Latin",
+      "ĠL atin",
+      "ĠLa tin",
+      "ĠLat in",
+      "- col",
+      "-c ol",
+      "-co l",
+      "Ġbar ely",
+      "Ġbare ly",
+      "Ġ Euro",
+      "ĠE uro",
+      "ĠEu ro",
+      "ĠEur o",
+      "E r",
+      "Ġf aire",
+      "Ġfa ire",
+      "Ġfair e",
+      "_ distance",
+      "_d istance",
+      "_dist ance",
+      "_di stance",
+      "_ unlock",
+      "_un lock",
+      "Qu ote",
+      "IV ATE",
+      "IVA TE",
+      "Ġ åĪ",
+      "Ġå Ī",
+      "Ġa imed",
+      "Ġaim ed",
+      "Ġai med",
+      "Ġaime d",
+      "ĠRe trie",
+      "ĠRet rie",
+      ". iter",
+      ".i ter",
+      ".it er",
+      "Ġ wrapped",
+      "Ġw rapped",
+      "Ġwr apped",
+      "Ġwrap ped",
+      "Ġag reements",
+      "Ġagre ements",
+      "Ġagree ments",
+      "Ġagreement s",
+      "str ument",
+      "stru ment",
+      "( product",
+      "(pro duct",
+      "(prod uct",
+      "Ġstud ied",
+      "Ġstudi ed",
+      ". setValue",
+      ".set Value",
+      "Ġ ye",
+      "Ġy e",
+      "Ġ Cache",
+      "ĠC ache",
+      "ĠCa che",
+      "MB OL",
+      "Ġquarter back",
+      "Ġ syntax",
+      "Ġs yntax",
+      "Ġsy ntax",
+      "Ġsyn tax",
+      "Ġsynt ax",
+      ".get ElementsBy",
+      ".getElements By",
+      ". version",
+      ".v ersion",
+      "we bsite",
+      "web site",
+      "webs ite",
+      "R unner",
+      "Run ner",
+      "_ single",
+      "_s ingle",
+      "_si ngle",
+      "_sin gle",
+      "a tiv",
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+      "ภ²",
+      "Ġ scanner",
+      "Ġsc anner",
+      "Ġscan ner",
+      "i lder",
+      "il der",
+      "ild er",
+      "ilde r",
+      "_ msgs",
+      "_msg s",
+      "_ms gs",
+      "æ ı",
+      "( intent",
+      "(int ent",
+      "(in tent",
+      "Ġ destruct",
+      "Ġd estruct",
+      "Ġde struct",
+      "Ġb ust",
+      "Ġbu st",
+      "Ġbus t",
+      "Ġ Employ",
+      "ĠE mploy",
+      "ĠEm ploy",
+      "ĠEmp loy",
+      "o ni",
+      "on i",
+      "Ġ UIViewController",
+      "ĠUI ViewController",
+      "ĠUIView Controller",
+      "Ġo dds",
+      "Ġodd s",
+      "Ġod ds",
+      "e arer",
+      "ear er",
+      "ea rer",
+      "Ge ometry",
+      "Geo metry",
+      "Geom etry",
+      "Ġ yii",
+      "Ġy ii",
+      "Ġyi i",
+      "_ EXPORT",
+      "_EX PORT",
+      "_EXP ORT",
+      "Ġ Attack",
+      "ĠAtt ack",
+      "Ġn iet",
+      "Ġnie t",
+      "Ġni et",
+      "Ġim pression",
+      "Ġimp ression",
+      "Ġimpress ion",
+      "Ġimpr ession",
+      "Ġ Gil",
+      "ĠG il",
+      "ĠGi l",
+      "_ prob",
+      "_p rob",
+      "_pro b",
+      "_pr ob",
+      "5 28",
+      "52 8",
+      "Ġ CF",
+      "ĠC F",
+      "Ġ Experience",
+      "ĠEx perience",
+      "/ plugins",
+      "/pl ugins",
+      "/plugin s",
+      ". Method",
+      ".M ethod",
+      "Ġbel iefs",
+      "Ġbelie fs",
+      "Ġbelief s",
+      "N ative",
+      "Nat ive",
+      "_ build",
+      "_b uild",
+      "Ġ vig",
+      "Ġv ig",
+      "Ġvi g",
+      "Ġr anks",
+      "Ġrank s",
+      "Ġran ks",
+      "cover ed",
+      "cov ered",
+      "7 05",
+      "70 5",
+      "s uch",
+      "su ch",
+      "G uard",
+      "Gu ard",
+      ". pack",
+      ".p ack",
+      ".pa ck",
+      "ad der",
+      "add er",
+      "8 09",
+      "80 9",
+      "i via",
+      "iv ia",
+      "ivi a",
+      "l ng",
+      "ln g",
+      "Ġ вÑĭ",
+      "Ġв Ñĭ",
+      "5 52",
+      "55 2",
+      "T imestamp",
+      "Time stamp",
+      "_ now",
+      "_n ow",
+      "_no w",
+      "Ġp oker",
+      "Ġpo ker",
+      "Ġpok er",
+      "Ġpoke r",
+      "Ġ unc",
+      "Ġu nc",
+      "Ġun c",
+      "Ġ shapes",
+      "Ġsh apes",
+      "Ġshape s",
+      "Ġsha pes",
+      "- types",
+      "-t ypes",
+      "-type s",
+      "_ period",
+      "_p eriod",
+      "_per iod",
+      "p k",
+      "Ġveter an",
+      "Ġ sono",
+      "Ġs ono",
+      "Ġso no",
+      "Ġson o",
+      "Ġ appointed",
+      "Ġapp ointed",
+      "Ġappoint ed",
+      "over flow",
+      ". driver",
+      ".d river",
+      ".dr iver",
+      ".drive r",
+      "_ cat",
+      "_c at",
+      "_ca t",
+      "u tt",
+      "ut t",
+      "p lant",
+      "pl ant",
+      "plan t",
+      "pla nt",
+      "i mb",
+      "im b",
+      "Ġ Accept",
+      "ĠAc cept",
+      "ĠAcc ept",
+      "Ġ concert",
+      "Ġcon cert",
+      "Ġconc ert",
+      "Ġconce rt",
+      "ĉ node",
+      "ĉn ode",
+      "ĉno de",
+      "ĉ z",
+      "? >čĊ",
+      "?> čĊ",
+      "Ġb anned",
+      "Ġban ned",
+      "ĉ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĉĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĉĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "Ġt oxic",
+      "Ġto xic",
+      "Ġtox ic",
+      "Ġdis appe",
+      "Ġdisap pe",
+      "4 73",
+      "47 3",
+      "È Ľ",
+      "Ġg race",
+      "Ġgr ace",
+      "Ġgra ce",
+      "Ġgrac e",
+      "at eful",
+      "ate ful",
+      "Re ply",
+      "Rep ly",
+      "ĠC ruz",
+      "ĠCr uz",
+      "ĠCru z",
+      "4 86",
+      "48 6",
+      "Ġs crap",
+      "Ġsc rap",
+      "Ġscr ap",
+      "Ġ keywords",
+      "Ġkey words",
+      "Ġkeyword s",
+      "s imp",
+      "si mp",
+      "sim p",
+      "Ġmort gage",
+      "Ġcy ber",
+      "Ġ Execute",
+      "ĠEx ecute",
+      "ĠExec ute",
+      "Ġ latitude",
+      "Ġl atitude",
+      "Ġlat itude",
+      "i fu",
+      "if u",
+      ". COM",
+      ".C OM",
+      ".CO M",
+      "d bo",
+      "db o",
+      "Ġs orts",
+      "Ġso rts",
+      "Ġsort s",
+      "Ġsor ts",
+      "Ġ Gas",
+      "ĠG as",
+      "ĠGa s",
+      "om ial",
+      "omi al",
+      ". Local",
+      ".L ocal",
+      ".Lo cal",
+      "C ells",
+      "Cell s",
+      "Cel ls",
+      ". Replace",
+      ".Re place",
+      "String s",
+      "Str ings",
+      ". fit",
+      ".f it",
+      ".fi t",
+      "Ġ Third",
+      "ĠTh ird",
+      "ĠThi rd",
+      "% \",Ċ",
+      "%\" ,Ċ",
+      "%\", Ċ",
+      "Ġ {}\".",
+      "Ġ{ }\".",
+      "Ġ{} \".",
+      "Ġ Sony",
+      "ĠS ony",
+      "ĠSo ny",
+      "ĠSon y",
+      "Ġ [:",
+      "Ġ[ :",
+      "5 85",
+      "58 5",
+      "Ġf allen",
+      "Ġfa llen",
+      "Ġfall en",
+      "Ġfal len",
+      ". ')Ċ",
+      ".' )Ċ",
+      ".') Ċ",
+      "i nh",
+      "in h",
+      "Ġ MC",
+      "ĠM C",
+      "Ġ redis",
+      "Ġre dis",
+      "Ġr edis",
+      "Ġred is",
+      "C odes",
+      "Code s",
+      "Co des",
+      "Cod es",
+      "Ġ profiles",
+      "Ġpro files",
+      "Ġprof iles",
+      "Ġprofile s",
+      "Ġprofil es",
+      "h ook",
+      "ho ok",
+      "hoo k",
+      "Re ducer",
+      "Red ucer",
+      "Reduc er",
+      "Reduce r",
+      "_ FUNC",
+      "_F UNC",
+      "_FUN C",
+      "Ġ navigate",
+      "Ġn avigate",
+      "Ġnav igate",
+      "Ġnavig ate",
+      "st rlen",
+      "str len",
+      "Ġh orm",
+      "Ġhor m",
+      "Ġho rm",
+      "á ŀ",
+      "Ġ SR",
+      "ĠS R",
+      ". boot",
+      ".b oot",
+      ".bo ot",
+      "Ġ digest",
+      "Ġd igest",
+      "Ġdi gest",
+      "Ġdig est",
+      "ĉ header",
+      "ĉhead er",
+      ". findOne",
+      ".find One",
+      "æ ģ",
+      "Db Type",
+      "n ia",
+      "ni a",
+      "_ merge",
+      "_m erge",
+      "Ġd onne",
+      "Ġdon ne",
+      "Ġdonn e",
+      "/ Getty",
+      "/G etty",
+      "_ CHAR",
+      "_CH AR",
+      "Ġ bands",
+      "Ġb ands",
+      "Ġband s",
+      "Ġban ds",
+      "Ġba nds",
+      ". URL",
+      ".U RL",
+      ".UR L",
+      "art ial",
+      "arti al",
+      "Ġ freq",
+      "Ġf req",
+      "Ġfr eq",
+      "Ġfre q",
+      "Ġs ist",
+      "Ġsi st",
+      "Ġsis t",
+      "N g",
+      "Ġrender ing",
+      "Ġrend ering",
+      "\\ Core",
+      "\\C ore",
+      "Widget s",
+      "Ġ VA",
+      "ĠV A",
+      "Ġactiv ists",
+      "Ġactivist s",
+      "S te",
+      "St e",
+      "= _",
+      "a lla",
+      "al la",
+      "all a",
+      "St amp",
+      "Ġ loads",
+      "Ġlo ads",
+      "Ġload s",
+      "Ġloa ds",
+      "Ġ xx",
+      "Ġx x",
+      "Ġ Learning",
+      "ĠL earning",
+      "ĠLe arning",
+      "ĠLearn ing",
+      "ĠLear ning",
+      ". Mvc",
+      ".M vc",
+      "u ir",
+      "ui r",
+      "( \"$",
+      "(\" $",
+      "Ġ connecting",
+      "Ġconnect ing",
+      "Read Only",
+      "u ru",
+      "ur u",
+      "ĠE ag",
+      "ĠEa g",
+      "B IT",
+      "BI T",
+      "_ DEL",
+      "_D EL",
+      "_DE L",
+      "å §",
+      "arr ass",
+      "arra ss",
+      "ex ternal",
+      "ext ernal",
+      "extern al",
+      "exter nal",
+      "Ġ YOUR",
+      "ĠY OUR",
+      "ĠYOU R",
+      "ĠB rew",
+      "ĠBr ew",
+      "ĠBre w",
+      "Ġ Five",
+      "ĠF ive",
+      "ĠFi ve",
+      "Ġ resize",
+      "Ġre size",
+      "Ġres ize",
+      "i gid",
+      "ig id",
+      "igi d",
+      "e ration",
+      "er ation",
+      "era tion",
+      "6 53",
+      "65 3",
+      "Ġ Ñį",
+      "ĠÑ į",
+      "5 36",
+      "53 6",
+      "åĬ ł",
+      "0 39",
+      "03 9",
+      "Ġ Catch",
+      "ĠC atch",
+      "ĠCat ch",
+      "Ù ģ",
+      "Ġ Leon",
+      "ĠL eon",
+      "ĠLe on",
+      "ĠLeo n",
+      "a mil",
+      "am il",
+      "ami l",
+      ". Body",
+      ".B ody",
+      "C lip",
+      "Cl ip",
+      "Cli p",
+      "/ list",
+      "/l ist",
+      "/li st",
+      ". br",
+      ".b r",
+      "Edit Text",
+      "ĉ db",
+      "ĉd b",
+      ". Game",
+      ".G ame",
+      "( BuildContext",
+      "(Build Context",
+      "back end",
+      ". Red",
+      ".R ed",
+      ".Re d",
+      "f acebook",
+      "face book",
+      "5 29",
+      "52 9",
+      ". urls",
+      ".url s",
+      ".ur ls",
+      "m r",
+      "rol led",
+      "roll ed",
+      "- ------",
+      "-- -----",
+      "---- ---",
+      "--- ----",
+      "----- --",
+      "------ -",
+      "Ġint ervention",
+      "Ġinter vention",
+      "Ġinterven tion",
+      "Ġinterv ention",
+      "Ġret irement",
+      "Ġretire ment",
+      "Ġretir ement",
+      "Ġ Kit",
+      "ĠK it",
+      "ĠKi t",
+      "Ġ PRE",
+      "ĠP RE",
+      "ĠPR E",
+      "Upper Case",
+      "Ġ Socket",
+      "ĠS ocket",
+      "ĠSo cket",
+      "ĠSoc ket",
+      "Ġ :-",
+      "Ġ: -",
+      "Ġstud ying",
+      "Ġstudy ing",
+      "Ġ Metro",
+      "ĠM etro",
+      "ĠMe tro",
+      "ĠMet ro",
+      "ar ded",
+      "ard ed",
+      "arde d",
+      "Ġcon versations",
+      "Ġconvers ations",
+      "Ġconversation s",
+      "C alled",
+      "Call ed",
+      "Cal led",
+      "Ġex amine",
+      "Ġexam ine",
+      "ert ificate",
+      ". gz",
+      ".g z",
+      "- responsive",
+      "-res ponsive",
+      "Ġ refund",
+      "Ġre fund",
+      "Ġref und",
+      "_ network",
+      "_n etwork",
+      "_net work",
+      "0 26",
+      "02 6",
+      "all owed",
+      "allow ed",
+      "allo wed",
+      "em pt",
+      "emp t",
+      "Ġme als",
+      "Ġmeal s",
+      "C ategories",
+      "Ġtravel ing",
+      "Ġtrav eling",
+      "Ġ kg",
+      "Ġk g",
+      "Ġsh ame",
+      "Ġsha me",
+      "Ġsham e",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "Ġexplicit ly",
+      "Ġmath ematic",
+      "Ġ Suite",
+      "ĠS uite",
+      "ĠSu ite",
+      "ĠSuit e",
+      "Ġ RGB",
+      "ĠR GB",
+      "ĠRG B",
+      "****** /",
+      "***** */",
+      "Ġm ixture",
+      "Ġmix ture",
+      "l earning",
+      "le arning",
+      "lear ning",
+      "learn ing",
+      ". template",
+      ".t emplate",
+      ".temp late",
+      ".tem plate",
+      "at ts",
+      "att s",
+      "w x",
+      "ĉ ctx",
+      "ĉc tx",
+      "ĉct x",
+      ". properties",
+      ".p roperties",
+      ".prop erties",
+      "Ġdr inks",
+      "Ġdrink s",
+      "Ġ Either",
+      "ĠE ither",
+      "set Text",
+      ". getData",
+      ".get Data",
+      ".getD ata",
+      ". zip",
+      ".z ip",
+      "Ġreve als",
+      "Ġreveal s",
+      "< table",
+      "<t able",
+      ". HashMap",
+      ".Hash Map",
+      "Ġ Hur",
+      "ĠH ur",
+      "ĠHu r",
+      ") \");Ċ",
+      ")\" );Ċ",
+      ")\") ;Ċ",
+      ". framework",
+      ".f ramework",
+      ".frame work",
+      ".fr amework",
+      "Ġ START",
+      "ĠST ART",
+      "ĠSTAR T",
+      "ĠSTA RT",
+      "fe edback",
+      "feed back",
+      "4 57",
+      "45 7",
+      "Ġsaf ely",
+      "Ġsafe ly",
+      ". icon",
+      ".i con",
+      ".ic on",
+      ".ico n",
+      "con figure",
+      "config ure",
+      "conf igure",
+      ". lock",
+      ".l ock",
+      ".loc k",
+      ".lo ck",
+      ". layers",
+      ".l ayers",
+      ".layer s",
+      "/ >.Ċ",
+      "/> .Ċ",
+      "/>. Ċ",
+      "Ġr anked",
+      "Ġrank ed",
+      "Ġran ked",
+      "_ impl",
+      "_i mpl",
+      "_im pl",
+      "_imp l",
+      "Ġ Handles",
+      "ĠH andles",
+      "ĠHand les",
+      "ĠHandle s",
+      "Ġhost ed",
+      "Ġho sted",
+      "Ġhos ted",
+      "Ġ updating",
+      "Ġup dating",
+      "Ġupd ating",
+      "al bum",
+      "é Ŀ",
+      "Ġ shader",
+      "Ġsh ader",
+      "Ġsha der",
+      "Ġshade r",
+      "Ed itors",
+      "Edit ors",
+      "Editor s",
+      "- round",
+      "-r ound",
+      "-ro und",
+      "[ ]{",
+      "[] {",
+      "Ġ sep",
+      "Ġs ep",
+      "Ġse p",
+      "Ġ Hi",
+      "ĠH i",
+      "T EM",
+      "TE M",
+      "look up",
+      "loo kup",
+      ". man",
+      ".m an",
+      ".ma n",
+      "_ INPUT",
+      "_IN PUT",
+      "Ġthreat ened",
+      "Ġthreaten ed",
+      "_ IMPORT",
+      "_IM PORT",
+      "_IMP ORT",
+      "Ġ drops",
+      "Ġd rops",
+      "Ġdr ops",
+      "Ġdrop s",
+      "Ġdro ps",
+      "r uit",
+      "ru it",
+      "s id",
+      "si d",
+      "b oth",
+      "bo th",
+      "bot h",
+      "Ġ Excel",
+      "ĠEx cel",
+      "ĠExc el",
+      "Ġ jer",
+      "Ġj er",
+      "Ġje r",
+      "ord inary",
+      "ordin ary",
+      "е й",
+      "еР¹",
+      "V IEW",
+      "VI EW",
+      "re ply",
+      "rep ly",
+      "Ġ ):Ċ",
+      "Ġ) :Ċ",
+      "Ġ): Ċ",
+      "col ors",
+      "color s",
+      "colo rs",
+      "ver ified",
+      "_ Tr",
+      "_T r",
+      "_ parse",
+      "_p arse",
+      "_par se",
+      "_pars e",
+      "Ġcon gress",
+      "Ġcongr ess",
+      "Ġcong ress",
+      "6 17",
+      "61 7",
+      "P romise",
+      "Pro mise",
+      "Prom ise",
+      "i nts",
+      "in ts",
+      "int s",
+      "Ġ Mother",
+      "ĠM other",
+      "ĠMo ther",
+      "ĠMot her",
+      ". Api",
+      ".A pi",
+      ".Ap i",
+      "Ġ Duration",
+      "ĠD uration",
+      "ĠDu ration",
+      "ĠDur ation",
+      "Ġ firstName",
+      "Ġfirst Name",
+      "inherit doc",
+      "ĠM ars",
+      "ĠMar s",
+      "ĠMa rs",
+      "Ġ apr",
+      "Ġa pr",
+      "Ġap r",
+      "O DY",
+      "OD Y",
+      "Ġvis its",
+      "Ġvisit s",
+      "6 31",
+      "63 1",
+      "Ġhe aling",
+      "Ġheal ing",
+      "let ters",
+      "letter s",
+      "lette rs",
+      "lett ers",
+      ") ));čĊ",
+      ")) );čĊ",
+      "))) ;čĊ",
+      "))); čĊ",
+      "f uture",
+      "fu ture",
+      ". Framework",
+      ".F ramework",
+      ".Frame work",
+      "Ġk iss",
+      "Ġki ss",
+      "Ġinv olve",
+      "Ġinvol ve",
+      "Ġ silent",
+      "Ġs ilent",
+      "Ġsil ent",
+      "ad ows",
+      "ado ws",
+      "adow s",
+      "Ġany body",
+      "s ch",
+      "sc h",
+      "6 90",
+      "69 0",
+      "Ġsol ely",
+      "Ġsole ly",
+      "- img",
+      "-i mg",
+      "-im g",
+      "Ġ propri",
+      "Ġp ropri",
+      "Ġpro pri",
+      "Ġprop ri",
+      "Ġin struct",
+      "Ġinstr uct",
+      "Ġ licenses",
+      "Ġlicense s",
+      "Ġlic enses",
+      "Ġlicens es",
+      "Ġ meth",
+      "Ġm eth",
+      "Ġme th",
+      "Ġmet h",
+      "Ġcon dem",
+      "Ġcond em",
+      "Ġ Domain",
+      "ĠD omain",
+      "ĠDo main",
+      "ĠDom ain",
+      "ĠH arris",
+      "ĠHar ris",
+      "ĠHarr is",
+      "Ġs Ã¥",
+      "CE PT",
+      "B atch",
+      "Bat ch",
+      "@ extends",
+      "ĠCONTR IBUT",
+      ". DataFrame",
+      ".Data Frame",
+      "4 72",
+      "47 2",
+      "_ packet",
+      "_p acket",
+      "_pack et",
+      "_pa cket",
+      "re cision",
+      "rec ision",
+      "Ġf ocusing",
+      "Ġfocus ing",
+      "Ġfoc using",
+      ". ht",
+      ".h t",
+      "__ \":Ċ",
+      ": Get",
+      "Ġ KC",
+      "ĠK C",
+      "Ġp assage",
+      "Ġpass age",
+      "Ġpas sage",
+      "S egment",
+      "Se gment",
+      "Seg ment",
+      "_ center",
+      "_c enter",
+      "_cent er",
+      "-z A",
+      "_ BL",
+      "_B L",
+      "Ġcon vin",
+      "Ġconv in",
+      "Ġ classified",
+      "Ġclass ified",
+      "Ġ NSMutable",
+      "ĠNS Mutable",
+      "_ ap",
+      "_a p",
+      "t ile",
+      "til e",
+      "ti le",
+      "Rect angle",
+      "4 92",
+      "49 2",
+      "( nums",
+      "(n ums",
+      "(num s",
+      "v ens",
+      "ve ns",
+      "ven s",
+      "Ġ UIButton",
+      "ĠUI Button",
+      "ĠUIB utton",
+      "ĠF eder",
+      "ĠFe der",
+      "ĠFed er",
+      "a mo",
+      "am o",
+      "Ġ outline",
+      "Ġout line",
+      "Ġ Parser",
+      "ĠP arser",
+      "ĠPar ser",
+      "ĠParse r",
+      "ĠPars er",
+      "Ġ âī",
+      "Ġâ ī",
+      "Ġ Works",
+      "ĠW orks",
+      "ĠWork s",
+      "ĠWor ks",
+      ". Schema",
+      ".S chema",
+      "Ġeng ines",
+      "Ġengine s",
+      "6 37",
+      "63 7",
+      "5 63",
+      "56 3",
+      "_ common",
+      "_com mon",
+      "_comm on",
+      "5 42",
+      "54 2",
+      "_ old",
+      "_o ld",
+      "Ġset ContentView",
+      "ĠsetContent View",
+      "Ġ ///<",
+      "Ġ// /<",
+      "Ġ/// <",
+      "Ġ BT",
+      "ĠB T",
+      "f m",
+      "Ġd ivers",
+      "Ġdi vers",
+      "Ġdiv ers",
+      "Ġdive rs",
+      "Ġdiver s",
+      "_ weights",
+      "_weight s",
+      "_we ights",
+      "e mark",
+      "em ark",
+      "ema rk",
+      "Ġ ACT",
+      "ĠA CT",
+      "ĠAC T",
+      "Ġpro portion",
+      "Ġprop ortion",
+      "Ġproport ion",
+      "Ġpropor tion",
+      "over lay",
+      ". dirname",
+      ".dir name",
+      "Ġ Git",
+      "ĠG it",
+      "ĠGi t",
+      "_ REFERENCE",
+      "_REF ERENCE",
+      "_REFER ENCE",
+      "< >",
+      "l b",
+      "_ rule",
+      "_r ule",
+      "_ru le",
+      "è´ ¥",
+      "Ġ Putin",
+      "ĠP utin",
+      "ĠPut in",
+      "ĠPu tin",
+      "Ġsleep ing",
+      "Ġsle eping",
+      "Ġslee ping",
+      "( ):čĊ",
+      "() :čĊ",
+      "(): čĊ",
+      "Ġ preserve",
+      "Ġp reserve",
+      "Ġpre serve",
+      "Ġpres erve",
+      "Ġpar liament",
+      "Ġ Looking",
+      "ĠLo oking",
+      "ĠLook ing",
+      "Ġp icking",
+      "Ġpick ing",
+      "Ġpic king",
+      "Ġ Dispatch",
+      "ĠDis patch",
+      "ĠDisp atch",
+      "Ġs lip",
+      "Ġsl ip",
+      "ë ĵ",
+      "ĠL yn",
+      "ĠLy n",
+      "_ signal",
+      "_s ignal",
+      "_sign al",
+      "_sig nal",
+      "config uration",
+      "ĠP itt",
+      "ĠPi tt",
+      "ĠPit t",
+      "4 91",
+      "49 1",
+      "a den",
+      "ad en",
+      "ade n",
+      "pro cedure",
+      "Ġenthus i",
+      "Ġenth usi",
+      "f ight",
+      "fig ht",
+      "fi ght",
+      "Ġ Consider",
+      "ĠCons ider",
+      "Ġt orn",
+      "Ġto rn",
+      "Ġtor n",
+      "Conn ected",
+      "Connect ed",
+      ". cos",
+      ".c os",
+      ".co s",
+      "_ groups",
+      "_g roups",
+      "_group s",
+      "Ġ Think",
+      "ĠTh ink",
+      "ĠThi nk",
+      "ĠThin k",
+      "Ġdel iber",
+      "Ġre sid",
+      "Ġres id",
+      "work ing",
+      "wor king",
+      ". columns",
+      ".column s",
+      "Ġ Called",
+      "ĠC alled",
+      "ĠCal led",
+      "ĠCall ed",
+      "Ġ eslint",
+      "Ġes lint",
+      "Ġesl int",
+      "> \",",
+      ">\" ,",
+      "_ DOWN",
+      "_D OWN",
+      "_DO WN",
+      "h ist",
+      "hi st",
+      "his t",
+      "Ġ Advanced",
+      "ĠAd vanced",
+      "ĠAdv anced",
+      "ĠAdvance d",
+      "Ġre wards",
+      "Ġreward s",
+      "Ġrew ards",
+      "a ctors",
+      "act ors",
+      "ac tors",
+      "actor s",
+      "Ġsil ence",
+      "4 79",
+      "47 9",
+      "Ġm yth",
+      "Ġmy th",
+      "Ġn eur",
+      "Ġne ur",
+      "Ġneu r",
+      "5 19",
+      "51 9",
+      "Ġ auction",
+      "Ġa uction",
+      "Ġau ction",
+      "Ġauc tion",
+      ". GetString",
+      ".Get String",
+      "e ks",
+      "ek s",
+      "( project",
+      "(pro ject",
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+      "Ġpro spect",
+      "Ġpros pect",
+      "_ found",
+      "_f ound",
+      "ĉ color",
+      "ĉc olor",
+      "ĉcol or",
+      ".D iagnostics",
+      ".Di agnostics",
+      "Ġ announce",
+      "Ġann ounce",
+      "Ġannounc e",
+      "Ġanno unce",
+      "Ġass umes",
+      "Ġassum es",
+      "Ġassume s",
+      "/ tr",
+      "/t r",
+      "Ġ bd",
+      "Ġb d",
+      "9 87",
+      "98 7",
+      "Ġ Carbon",
+      "ĠC arbon",
+      "ĠCar bon",
+      "ĠCarb on",
+      "Ġanal ys",
+      "Ġanaly s",
+      "Ġana lys",
+      "5 64",
+      "56 4",
+      ". dest",
+      ".d est",
+      ".de st",
+      ".des t",
+      "n ik",
+      "ni k",
+      "Ġ Lie",
+      "ĠL ie",
+      "ĠLi e",
+      "- index",
+      "-in dex",
+      "-ind ex",
+      "Draw able",
+      "Ġ TAG",
+      "ĠT AG",
+      "ĠTA G",
+      "Ġ triangle",
+      "Ġt riangle",
+      "Ġtr iangle",
+      "Ġtri angle",
+      "Ġtriang le",
+      "_ FLOAT",
+      "_F LOAT",
+      "ĉ ĉĠĠĠĠĠ",
+      "ĉĉ ĠĠĠĠĠ",
+      "ĉĉĠĠĠ ĠĠ",
+      "ĉĉĠ ĠĠĠĠ",
+      "ĉĉĠĠ ĠĠĠ",
+      "ĉĉĠĠĠĠ Ġ",
+      ". black",
+      ".b lack",
+      ".bl ack",
+      "v ue",
+      "vu e",
+      "c uracy",
+      "cur acy",
+      "cura cy",
+      "Ġa ffects",
+      "Ġaff ects",
+      "Ġaffect s",
+      "9 06",
+      "90 6",
+      "Ġsur ely",
+      "Ġsure ly",
+      "S lider",
+      "Sl ider",
+      "Slide r",
+      "u ki",
+      "uk i",
+      "c ery",
+      "ce ry",
+      "cer y",
+      "Ġ unter",
+      "Ġun ter",
+      "Ġunt er",
+      ". profile",
+      ".pro file",
+      ".pr ofile",
+      ".prof ile",
+      "or don",
+      "ord on",
+      "ordo n",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "le ave",
+      "lea ve",
+      "Ġsmart phone",
+      "g ie",
+      "gi e",
+      "Ġcon spir",
+      "Ġcons pir",
+      "Ġ tutorial",
+      "Ġt utorial",
+      "Ġtut orial",
+      "Ġtutor ial",
+      "Ġtuto rial",
+      "ç± »",
+      "Ġ cab",
+      "Ġc ab",
+      "Ġca b",
+      "7 65",
+      "76 5",
+      "Ġ Summary",
+      "ĠSum mary",
+      "* ĊĊ",
+      "*Ċ Ċ",
+      "ä h",
+      "\" This",
+      "\"T his",
+      "Ġ slides",
+      "Ġsl ides",
+      "Ġslide s",
+      "Ġslid es",
+      "\" </",
+      "\"< /",
+      ". dev",
+      ".d ev",
+      ".de v",
+      "' <",
+      "Ġ Ring",
+      "ĠR ing",
+      "ĠRi ng",
+      "ĠRin g",
+      "ÅĤ a",
+      "Ġk otlin",
+      "Ġkot lin",
+      ".d umps",
+      ".dump s",
+      "Ġb ass",
+      "Ġbas s",
+      "Ġba ss",
+      "ì ĭ",
+      "PO INT",
+      "Ġ utter",
+      "Ġut ter",
+      "Ġ és",
+      "Ġé s",
+      ". full",
+      ".f ull",
+      "O LL",
+      "OL L",
+      "Ġcer emony",
+      "Ġcere mony",
+      "Ġceremon y",
+      "s lot",
+      "sl ot",
+      "Ġ aims",
+      "Ġa ims",
+      "Ġaim s",
+      "Ġai ms",
+      "to oltip",
+      "tool tip",
+      ". score",
+      ".s core",
+      ".sc ore",
+      "- dd",
+      "-d d",
+      "6 42",
+      "64 2",
+      "Ġ prox",
+      "Ġp rox",
+      "Ġpro x",
+      "Ġpr ox",
+      "Recogn izer",
+      "d ynamic",
+      "dyn amic",
+      "ä nd",
+      "än d",
+      "/ std",
+      "/s td",
+      "/st d",
+      "D U",
+      "ĠNot Implemented",
+      "( \"--",
+      "(\" --",
+      "(\"- -",
+      "R AW",
+      "RA W",
+      "6 35",
+      "63 5",
+      "Ġ ethnic",
+      "Ġeth nic",
+      "Ġethn ic",
+      "an no",
+      "ann o",
+      "Ġch ampionship",
+      "Ġchampion ship",
+      "Ġchampions hip",
+      ", self",
+      ",s elf",
+      "Ġ acceptable",
+      "Ġaccept able",
+      "Ġ Sprite",
+      "ĠS prite",
+      "ĠSp rite",
+      "ĠSpr ite",
+      "[ type",
+      "[t ype",
+      "ü h",
+      "Ġ VK",
+      "ĠV K",
+      "(j Panel",
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+      "av ers",
+      "ave rs",
+      "aver s",
+      "Ġ Records",
+      "ĠRec ords",
+      "ĠRecord s",
+      ". Security",
+      ".S ecurity",
+      ".Se curity",
+      "Ġ constraint",
+      "Ġcon straint",
+      "Ġconstr aint",
+      "Ġconstrain t",
+      ". Bl",
+      ".B l",
+      "U int",
+      "Ui nt",
+      "b alance",
+      "bal ance",
+      "Ġcom me",
+      "Ġcomm e",
+      "ĠN ik",
+      "ĠNi k",
+      "Suppress Warnings",
+      "Ġ Ocean",
+      "ĠO cean",
+      "ĠOc ean",
+      "5 54",
+      "55 4",
+      "_ Id",
+      "_I d",
+      "Data Set",
+      "Ġinsert ed",
+      "Ġinser ted",
+      "\" ;čĊčĊ",
+      "\";čĊ čĊ",
+      "\"; čĊčĊ",
+      "âĢ ³",
+      "ip pet",
+      "ipp et",
+      "Ġann iversary",
+      "Ġret ired",
+      "Ġretire d",
+      "Ġretir ed",
+      "o rch",
+      "or ch",
+      "orc h",
+      "Ġper pet",
+      "\\ Form",
+      "\\F orm",
+      "Ġinvol vement",
+      "Ġinvolve ment",
+      "_ username",
+      "_user name",
+      "a lem",
+      "al em",
+      "ale m",
+      "_ SERVICE",
+      "_S ERVICE",
+      "_SER VICE",
+      "Ġ Indiana",
+      "ĠInd iana",
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+      "ĠIndian a",
+      "ĠIndi ana",
+      "Ġc igaret",
+      "Ġcig aret",
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+      "ar tz",
+      "art z",
+      "Ġ RC",
+      "ĠR C",
+      "Ġmeasure ments",
+      "Ġmeasurement s",
+      "ç½ ®",
+      "Ġ affiliate",
+      "Ġaff iliate",
+      "Ġaffili ate",
+      "ac ional",
+      "acion al",
+      "aci onal",
+      "acio nal",
+      "- section",
+      "-s ection",
+      "-se ction",
+      "_ controller",
+      "_cont roller",
+      "_control ler",
+      "_contr oller",
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+      "Ġreg ret",
+      "7 22",
+      "72 2",
+      "Th ose",
+      "Tho se",
+      "C ent",
+      "Ce nt",
+      "ĠPort ug",
+      "ĠIs lands",
+      "ĠIsl ands",
+      "ĠIsland s",
+      "Ġ TIME",
+      "ĠT IME",
+      "ĠTIM E",
+      "ĠTI ME",
+      "Man agement",
+      "Manage ment",
+      "Mana gement",
+      "9 96",
+      "99 6",
+      "- sp",
+      "-s p",
+      "5 39",
+      "53 9",
+      "ê me",
+      "êm e",
+      "Ġn otion",
+      "Ġnot ion",
+      "Ġno tion",
+      "un ifu",
+      "uni fu",
+      "P K",
+      "8 26",
+      "82 6",
+      "è¡ Į",
+      "ĠC URLOPT",
+      "ĠCUR LOPT",
+      "ĠCURL OPT",
+      "\\ \"\\",
+      "\\\" \\",
+      "U V",
+      "ç º",
+      "d ra",
+      "dr a",
+      "c ou",
+      "co u",
+      "= `",
+      "Ġ Destroy",
+      "ĠD estroy",
+      "ĠDe stroy",
+      "ĠDest roy",
+      "r p",
+      ". cancel",
+      ".c ancel",
+      ".can cel",
+      "G G",
+      "r untime",
+      "run time",
+      "Ġ Vue",
+      "ĠV ue",
+      "ĠVu e",
+      "Ġpro gressive",
+      "Ġprogress ive",
+      "Ġprog ressive",
+      "/ services",
+      "/s ervices",
+      "/service s",
+      "Ġ runner",
+      "Ġr unner",
+      "Ġrun ner",
+      "_ FRAME",
+      "_FR AME",
+      ". ToolStripMenuItem",
+      ".ToolStrip MenuItem",
+      "Ġ ','",
+      "Ġ' ,'",
+      "Ġ', '",
+      "d elay",
+      "de lay",
+      "del ay",
+      "= utf",
+      "=u tf",
+      "Ġscreen ing",
+      "Ġscre ening",
+      "Ġp ulling",
+      "Ġpull ing",
+      "Ġpul ling",
+      "o mas",
+      "om as",
+      "oma s",
+      "Ġ anth",
+      "Ġa nth",
+      "Ġan th",
+      "Ġant h",
+      "- new",
+      "-n ew",
+      "-ne w",
+      "/ local",
+      "/l ocal",
+      "/lo cal",
+      "Ġ iPad",
+      "Ġi Pad",
+      "ĠiP ad",
+      "Ġ twitter",
+      "Ġt witter",
+      "Ġtw itter",
+      "Ġd ying",
+      "Ġdy ing",
+      "Ġhe aven",
+      "Ġheav en",
+      "Ġ UInt",
+      "ĠU Int",
+      "ĠUI nt",
+      "Ġ Senator",
+      "ĠSen ator",
+      "Ġpre sum",
+      "Ġpres um",
+      "Ġ Walker",
+      "ĠW alker",
+      "ĠWalk er",
+      "ĠWal ker",
+      "Ġover come",
+      "e tection",
+      "et ection",
+      "ete ction",
+      "etect ion",
+      "Ġemb arrass",
+      "Ch ina",
+      "Chi na",
+      "6 39",
+      "63 9",
+      "In clude",
+      "Inc lude",
+      "R OLL",
+      "RO LL",
+      "ROL L",
+      "Ġ dataType",
+      "Ġdata Type",
+      "D avid",
+      "Da vid",
+      "ภ£",
+      "l op",
+      "lo p",
+      "- month",
+      "-m onth",
+      "-mon th",
+      "Ġ scar",
+      "Ġs car",
+      "Ġsc ar",
+      "Ġsca r",
+      "Ġ Safe",
+      "ĠS afe",
+      "ĠSaf e",
+      "ĠSa fe",
+      "Ġ ****************************************************************",
+      "Ġ******************************** ********************************",
+      "Ġ******** ********************************************************",
+      "Ġ**************** ************************************************",
+      "Ġ************************ ****************************************",
+      "Ġ**************************************** ************************",
+      "Ġ******************************************************** ********",
+      "Ġ************************************************ ****************",
+      "Ġaccess ories",
+      "Ġaccessor ies",
+      "Ġr amp",
+      "Ġra mp",
+      "Ġram p",
+      "_ USE",
+      "_U SE",
+      "_US E",
+      "Ġcon trad",
+      "Ġcont rad",
+      "Ġcontr ad",
+      "Ġcontra d",
+      ") )]Ċ",
+      ")) ]Ċ",
+      "))] Ċ",
+      "Ġp rest",
+      "Ġpr est",
+      "Ġpre st",
+      "Ġpres t",
+      "Ġ HR",
+      "ĠH R",
+      "ĠR ap",
+      "ĠRa p",
+      "Ġ usize",
+      "Ġu size",
+      "Ġus ize",
+      "Ġ capability",
+      "Ġcap ability",
+      "Ġc ort",
+      "Ġco rt",
+      "Ġcor t",
+      "- next",
+      "-n ext",
+      "-ne xt",
+      "0 77",
+      "07 7",
+      "6 27",
+      "62 7",
+      "Ġbur den",
+      "8 22",
+      "82 2",
+      "_ reader",
+      "_re ader",
+      "_read er",
+      "Ġ @@",
+      "Ġ@ @",
+      "reg ular",
+      "Ġ Ka",
+      "ĠK a",
+      "0 36",
+      "03 6",
+      "M AN",
+      "MA N",
+      "Ġ astr",
+      "Ġa str",
+      "Ġas tr",
+      "Ġast r",
+      "Ġ' ')Ċ",
+      "Ġ'' )Ċ",
+      "Ġ'') Ċ",
+      "Ġ fed",
+      "Ġf ed",
+      "Ġfe d",
+      "Ġp arsing",
+      "Ġpar sing",
+      "Ġpars ing",
+      "Ġ Years",
+      "ĠY ears",
+      "ĠYear s",
+      "ĠYe ars",
+      "Ġ broker",
+      "Ġb roker",
+      "Ġbr oker",
+      "Ġbro ker",
+      "Ġbroke r",
+      "\": {\"",
+      "Ġ akt",
+      "Ġa kt",
+      "Ġak t",
+      "In ventory",
+      "ab eled",
+      "abel ed",
+      "abe led",
+      "Ġarg parse",
+      "* ******Ċ",
+      "** *****Ċ",
+      "**** ***Ċ",
+      "****** *Ċ",
+      "*** ****Ċ",
+      "***** **Ċ",
+      "******* Ċ",
+      "vers ation",
+      "Ġ cord",
+      "Ġc ord",
+      "Ġco rd",
+      "Ġcor d",
+      "Ġ Ti",
+      "ĠT i",
+      "Ġ hopefully",
+      "Ġhope fully",
+      "Ġhop efully",
+      "Ġhopeful ly",
+      "Ġ ah",
+      "Ġa h",
+      "v erb",
+      "ver b",
+      "ve rb",
+      "Ġst olen",
+      "Ġstole n",
+      "Ġsto len",
+      "Ġstol en",
+      ". Entry",
+      ".En try",
+      ".Ent ry",
+      "Ġex pecting",
+      "Ġexpect ing",
+      "O rientation",
+      "Ġ powered",
+      "Ġp owered",
+      "Ġpower ed",
+      "Ġpow ered",
+      "Ġ persist",
+      "Ġp ersist",
+      "Ġpers ist",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "' ]);",
+      "'] );",
+      "']) ;",
+      "' )),Ċ",
+      "') ),Ċ",
+      "')) ,Ċ",
+      "')), Ċ",
+      "Ġ Cash",
+      "ĠC ash",
+      "ĠCas h",
+      "ĠCa sh",
+      "ĉ item",
+      "ĉi tem",
+      "ĉit em",
+      "8 18",
+      "81 8",
+      "g rades",
+      "gr ades",
+      "grad es",
+      "grade s",
+      "gra des",
+      "r opol",
+      "ro pol",
+      "rop ol",
+      "b asic",
+      "ba sic",
+      "bas ic",
+      "Ġ \");čĊ",
+      "Ġ\" );čĊ",
+      "Ġ\") ;čĊ",
+      "Ġ\"); čĊ",
+      "Ġa wards",
+      "Ġaw ards",
+      "Ġaward s",
+      "( range",
+      "(r ange",
+      "(ra nge",
+      "- all",
+      "-a ll",
+      "-al l",
+      "Ġ IBOutlet",
+      "ĠIB Outlet",
+      "Ġ Indeed",
+      "ĠInd eed",
+      "---------------------------------------------------------------- ------------",
+      "------------ ----------------------------------------------------------------",
+      "------------------------------------------------ ----------------------------",
+      "------ ----------------------------------------------------------------------",
+      "---------------------------- ------------------------------------------------",
+      "---------------------------------------------------------------------- ------",
+      "Ġstom ach",
+      "Ġsto mach",
+      "Ġ flower",
+      "Ġf lower",
+      "Ġfl ower",
+      "Ġflow er",
+      "Ġflo wer",
+      "Ġs ew",
+      "Ġse w",
+      "_ times",
+      "_t imes",
+      "_time s",
+      "_tim es",
+      "_ti mes",
+      "a vis",
+      "av is",
+      "avi s",
+      "Q String",
+      "QS tring",
+      "Ġ Routes",
+      "ĠR outes",
+      "ĠRoute s",
+      "ĠRo utes",
+      "ĠRou tes",
+      "ĠRout es",
+      "_ prot",
+      "_p rot",
+      "_pro t",
+      "_pr ot",
+      "Ġcom edy",
+      "Ġcome dy",
+      "Ġcomed y",
+      "Ġ logout",
+      "Ġlog out",
+      "Ġlogo ut",
+      "Ġwood en",
+      "Ġwo oden",
+      "Ġwoo den",
+      "Ġ poster",
+      "Ġp oster",
+      "Ġpos ter",
+      "Ġpost er",
+      "Ġpo ster",
+      "Ġposte r",
+      "p iece",
+      "pi ece",
+      "pie ce",
+      ". Join",
+      ".J oin",
+      "Ġ Pok",
+      "ĠP ok",
+      "ĠPo k",
+      "cel ona",
+      "m utex",
+      "mut ex",
+      "mu tex",
+      "mute x",
+      "; čĊčĊčĊ",
+      ";čĊ čĊčĊ",
+      ";čĊčĊ čĊ",
+      "Ġst rikes",
+      "Ġstr ikes",
+      "Ġstri kes",
+      "Ġstrike s",
+      "7 87",
+      "78 7",
+      "Lo aded",
+      "Load ed",
+      ") arg",
+      ")a rg",
+      "e sa",
+      "es a",
+      "Un ited",
+      "Unit ed",
+      "Uni ted",
+      "E p",
+      "P ELL",
+      "PE LL",
+      "8 07",
+      "80 7",
+      "Ġ Atlantic",
+      "ĠAtl antic",
+      "ul let",
+      "ull et",
+      "ulle t",
+      "6 52",
+      "65 2",
+      "ap ple",
+      "app le",
+      "appl e",
+      "Ġsett led",
+      "Ġsettle d",
+      "a con",
+      "ac on",
+      "aco n",
+      "Ġ printer",
+      "Ġpr inter",
+      "Ġprint er",
+      "Ġprin ter",
+      "Ġ GC",
+      "ĠG C",
+      "å® ļ",
+      "Ġrender ed",
+      "Ġrend ered",
+      ", âĢĻ",
+      "he it",
+      "hei t",
+      "s ocial",
+      "so cial",
+      "soc ial",
+      ". ge",
+      ".g e",
+      "7 14",
+      "71 4",
+      "Ġ Rick",
+      "ĠR ick",
+      "ĠRic k",
+      "ĠRi ck",
+      "ĠU tah",
+      "ĠUt ah",
+      "g ot",
+      "go t",
+      "on ical",
+      "onic al",
+      "oni cal",
+      "onica l",
+      "Ġ Scroll",
+      "ĠS croll",
+      "ĠSc roll",
+      "ĠScr oll",
+      "ĠSc iences",
+      "ĠScience s",
+      "ĠSci ences",
+      "Ġ jug",
+      "Ġj ug",
+      "Ġju g",
+      "Ġa mpl",
+      "Ġam pl",
+      "Ġamp l",
+      "en ti",
+      "ent i",
+      "LE FT",
+      "Ġ tabs",
+      "Ġt abs",
+      "Ġtab s",
+      "Ġta bs",
+      "Ġenorm ous",
+      ". getKey",
+      ".get Key",
+      "l ocate",
+      "lo cate",
+      "loc ate",
+      ". EX",
+      ".E X",
+      ". storage",
+      ".st orage",
+      ". We",
+      ".W e",
+      "Ġ toast",
+      "Ġto ast",
+      "Ġ Additionally",
+      "ĠAdd itionally",
+      "ĠAdditional ly",
+      "ĠAddition ally",
+      "8 82",
+      "88 2",
+      "Ġ NOW",
+      "ĠN OW",
+      "ĠNO W",
+      "5 47",
+      "54 7",
+      "_ UPDATE",
+      "_UP DATE",
+      "Ġtrans ferred",
+      "Ġtransfer red",
+      "t ha",
+      "th a",
+      ". Display",
+      ".D isplay",
+      ".Dis play",
+      "_ ui",
+      "_u i",
+      "ID EO",
+      "IDE O",
+      "Ġmeaning ful",
+      "ĠMos cow",
+      ", this",
+      ",t his",
+      "Ġ Victoria",
+      "ĠVict oria",
+      "ĠVictor ia",
+      "æĶ ¹",
+      "Ġ ÐŁ",
+      "ĠÐ Ł",
+      ". stack",
+      ".st ack",
+      "ĠB arn",
+      "ĠBar n",
+      "ĠBa rn",
+      "pared Statement",
+      ": string",
+      ":s tring",
+      ":str ing",
+      "Ġ bij",
+      "Ġb ij",
+      "Ġbi j",
+      "Ġ STATE",
+      "ĠST ATE",
+      "ĠSTAT E",
+      "ĠSTA TE",
+      "Ġemploy ers",
+      "Ġemployer s",
+      "ĉ input",
+      "ĉin put",
+      "( |",
+      "Ġ lex",
+      "Ġl ex",
+      "Ġle x",
+      "in voke",
+      "inv oke",
+      "ĉ num",
+      "ĉn um",
+      "+ +,",
+      "++ ,",
+      "at ial",
+      "ati al",
+      "or ses",
+      "ors es",
+      "orse s",
+      "Ġ fork",
+      "Ġf ork",
+      "Ġfor k",
+      "Ġfo rk",
+      "_ txt",
+      "_t xt",
+      "_tx t",
+      "ĠAnt onio",
+      "ĠAnton io",
+      "Ġ (<",
+      "Ġ( <",
+      "a verse",
+      "av erse",
+      "aver se",
+      "avers e",
+      "Ġdev ast",
+      "ãĢ Ģ",
+      ". Dec",
+      ".D ec",
+      ".De c",
+      "ĠG ard",
+      "ĠGar d",
+      "ĠGa rd",
+      "/ ui",
+      "/u i",
+      ". %",
+      "t ri",
+      "tr i",
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+      "Ġk r",
+      "h att",
+      "ha tt",
+      "hat t",
+      "Ġ Static",
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+      "ĠStat ic",
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+      "Ġunivers ities",
+      "Re place",
+      "Rep lace",
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+      "Ġdr ove",
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+      "Ġad oles",
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+      "_ plugin",
+      "_pl ugin",
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+      "Ġm v",
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+      "if rame",
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+      "Ġfear s",
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+      "Ġdisp osing",
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+      "Ġatt ending",
+      "Ġattend ing",
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+      "ĠM ission",
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+      "Ġmed ication",
+      "Ġmedic ation",
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+      "05 2",
+      "Ġ overview",
+      "Ġover view",
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+      "66 1",
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+      "ĠW ant",
+      "ĠWa nt",
+      "ĠWan t",
+      "Ġ WP",
+      "ĠW P",
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+      "(s h",
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+      "ĠT een",
+      "ĠTe en",
+      "ĠTee n",
+      "_ components",
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+      "_comp onents",
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+      "ì Īĺ",
+      "ìĪ ĺ",
+      "Re ceived",
+      "Receive d",
+      "Ġly rics",
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+      "ĉ ĉĉĉĉĠ",
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+      "ĠU ART",
+      "ĠUA RT",
+      "Ġ apple",
+      "Ġapp le",
+      "Ġap ple",
+      "Ġappl e",
+      "Ġ Jonathan",
+      "ĠJon athan",
+      "Ġm omentum",
+      "Ġmoment um",
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+      "Ġmi ch",
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+      "andr a",
+      "Ġb iological",
+      "Ġbi ological",
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+      "Ġta le",
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+      "Ġri p",
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+      "ĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉ",
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+      "ĠS pot",
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+      "ĠSpo t",
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+      "ĠR uby",
+      "ĠRub y",
+      "ĠRu by",
+      "Ġd rain",
+      "Ġdr ain",
+      "Ġdra in",
+      "_ FILTER",
+      "_F ILTER",
+      "S an",
+      "Sa n",
+      "U MP",
+      "UM P",
+      "Null Exception",
+      "Ġ Gab",
+      "ĠG ab",
+      "ĠGa b",
+      "o we",
+      "ow e",
+      "ĠTur kish",
+      "ĠTurk ish",
+      "_ sequence",
+      "_se quence",
+      "Ġ Grant",
+      "ĠG rant",
+      "ĠGr ant",
+      "ĠGran t",
+      "ĠGra nt",
+      "u ela",
+      "ue la",
+      "uel a",
+      "Ġ wo",
+      "Ġw o",
+      "Ġ cube",
+      "Ġc ube",
+      "Ġcu be",
+      "Ġcub e",
+      "i q",
+      "Ġdis orders",
+      "Ġdisorder s",
+      "Ġextra ordinary",
+      "Ġextraordin ary",
+      "Ġ ctrl",
+      "Ġc trl",
+      "Ġct rl",
+      "Ġctr l",
+      "Ġ Seq",
+      "ĠS eq",
+      "ĠSe q",
+      "en tr",
+      "ent r",
+      "8 65",
+      "86 5",
+      "Ġsan ctions",
+      "Ġsanct ions",
+      "Ġsanction s",
+      "9 49",
+      "94 9",
+      "ut sch",
+      "uts ch",
+      "Re ports",
+      "Report s",
+      "Rep orts",
+      "Repo rts",
+      "Ġ inherit",
+      "Ġin herit",
+      "Ġinher it",
+      "P eriod",
+      "Per iod",
+      "Ġphot ography",
+      "Ġphotograph y",
+      "Ġ Framework",
+      "ĠF ramework",
+      "ĠFr amework",
+      "ĠFrame work",
+      "ĠFram ework",
+      "Ġspecial ist",
+      "Ġspeci alist",
+      "Ġ ?ĊĊ",
+      "Ġ? ĊĊ",
+      "Ġ?Ċ Ċ",
+      "_ selected",
+      "_se lected",
+      "_select ed",
+      "_sel ected",
+      ". Player",
+      ".P layer",
+      ".Pl ayer",
+      ".Play er",
+      "Ġ allocation",
+      "Ġal location",
+      "Ġall ocation",
+      "Ġalloc ation",
+      "Ġallo cation",
+      "( account",
+      "(a ccount",
+      "(ac count",
+      "(acc ount",
+      "Ġ structural",
+      "Ġstruct ural",
+      "v able",
+      "va ble",
+      "- offset",
+      "-off set",
+      "-o ffset",
+      "-offs et",
+      ".App CompatActivity",
+      "а м",
+      "аР¼",
+      ".Add WithValue",
+      "Ġ icons",
+      "Ġi cons",
+      "Ġicon s",
+      "Ġic ons",
+      "Ġ shutdown",
+      "Ġsh utdown",
+      "Ġshut down",
+      "_ low",
+      "_l ow",
+      "_lo w",
+      "Ġ Compare",
+      "ĠCom pare",
+      "ĠComp are",
+      "ĠCompar e",
+      "Ġ Ce",
+      "ĠC e",
+      "= head",
+      "=h ead",
+      "l am",
+      "la m",
+      ". predict",
+      ".p redict",
+      ".pre dict",
+      ".pred ict",
+      "_ DEC",
+      "_D EC",
+      "_DE C",
+      "Ġ Sleep",
+      "ĠS leep",
+      "ĠSlee p",
+      "ĠSle ep",
+      "Ġ Gratis",
+      "ĠGr atis",
+      "ĠGrat is",
+      "Ġs uggestion",
+      "Ġsuggest ion",
+      "Ġ DEL",
+      "ĠD EL",
+      "ĠDE L",
+      "c aff",
+      "ca ff",
+      "caf f",
+      "av irus",
+      "avi rus",
+      "avir us",
+      "No thing",
+      "ŀ ĭ",
+      "Ġwide spread",
+      "Ġwides pread",
+      "Ġmechan isms",
+      "Ġmechanism s",
+      "Ġ textAlign",
+      "Ġtext Align",
+      "oc cup",
+      "occ up",
+      "Ġ Rail",
+      "ĠR ail",
+      "ĠRa il",
+      "ĠRai l",
+      ": NS",
+      ":N S",
+      "Ġ fiber",
+      "Ġf iber",
+      "Ġfi ber",
+      "Ġfib er",
+      "Ġ mk",
+      "Ġm k",
+      "Ġv intage",
+      "- long",
+      "-l ong",
+      "-lo ng",
+      ". reduce",
+      ".re duce",
+      ".red uce",
+      ". Entities",
+      ".Ent ities",
+      "( record",
+      "(re cord",
+      "(rec ord",
+      "Ġ pleasant",
+      "Ġple asant",
+      "Ġpleas ant",
+      "F RING",
+      "FR ING",
+      ". Cells",
+      ".C ells",
+      ".Cell s",
+      "O TT",
+      "OT T",
+      "ĉ elseif",
+      "ĉelse if",
+      "6 49",
+      "64 9",
+      "7 24",
+      "72 4",
+      "_ confirm",
+      "_con firm",
+      "_conf irm",
+      "ĠView Group",
+      "s ym",
+      "sy m",
+      "Ġ pray",
+      "Ġp ray",
+      "Ġpr ay",
+      "Ġpra y",
+      "Ġsus pected",
+      "Ġsusp ected",
+      "Ġsuspect ed",
+      "Cont ains",
+      "Con tains",
+      "Contain s",
+      "Conta ins",
+      "9 83",
+      "98 3",
+      "Ġb orders",
+      "Ġborder s",
+      "Ġbor ders",
+      "Ġbord ers",
+      "Ġcomponent Did",
+      "A SSERT",
+      "ASS ERT",
+      "Ġin finite",
+      "Ġinf inite",
+      "Ġinfinit e",
+      "- order",
+      "-or der",
+      "Ġ hello",
+      "Ġh ello",
+      "Ġhel lo",
+      "Ġhell o",
+      "Ġ Grade",
+      "ĠG rade",
+      "ĠGr ade",
+      "ĠGrad e",
+      "ĠGra de",
+      ".currentTime Millis",
+      "ap olis",
+      "apol is",
+      "apo lis",
+      "z h",
+      "ĉ Object",
+      "ĉO bject",
+      ": \\\\",
+      ":\\ \\",
+      "H O",
+      "val uation",
+      "valu ation",
+      "Ġ vocab",
+      "Ġv ocab",
+      "Ġvo cab",
+      "Ġvoc ab",
+      "7 19",
+      "71 9",
+      "Ġ coupon",
+      "Ġc oupon",
+      "Ġco upon",
+      "Ġcou pon",
+      "Ġcoup on",
+      "ata bases",
+      "atab ases",
+      "atabase s",
+      ". GetType",
+      ".Get Type",
+      "L earn",
+      "Le arn",
+      "7 92",
+      "79 2",
+      "] =\"",
+      "]= \"",
+      "Ġ Gary",
+      "ĠG ary",
+      "ĠGar y",
+      "ĠGa ry",
+      "ot ive",
+      "oti ve",
+      "Ġ ash",
+      "Ġa sh",
+      "Ġas h",
+      "Ġ bib",
+      "Ġb ib",
+      "Ġbi b",
+      "X XXX",
+      "XX XX",
+      "XXX X",
+      "Ġ balanced",
+      "Ġbalance d",
+      "Ġbal anced",
+      "VAL UE",
+      "Ġ Nat",
+      "ĠN at",
+      "ĠNa t",
+      "_ Ad",
+      "_A d",
+      "< E",
+      "åĮ º",
+      "Ġ MethodInfo",
+      "ĠMethod Info",
+      "8 97",
+      "89 7",
+      "L IB",
+      "LI B",
+      "Ġconsider able",
+      "Ġconsid erable",
+      "Ġ Industry",
+      "ĠInd ustry",
+      "ĠIndust ry",
+      "t ests",
+      "te sts",
+      "test s",
+      "tes ts",
+      ". setTitle",
+      ".set Title",
+      "Ġ Bluetooth",
+      "ĠB luetooth",
+      "ĠBl uetooth",
+      "ĠBlu etooth",
+      "Ġ mapped",
+      "Ġm apped",
+      "Ġmap ped",
+      "Ġma pped",
+      "Ġ Bruce",
+      "ĠBr uce",
+      "ĠBru ce",
+      "Ġ MainWindow",
+      "ĠMain Window",
+      "ĉ status",
+      "ĉs tatus",
+      "ĉst atus",
+      "ĉstat us",
+      "Ġ raz",
+      "Ġr az",
+      "Ġra z",
+      "ĠM and",
+      "ĠMan d",
+      "ĠMa nd",
+      "Ġ classification",
+      "Ġclass ification",
+      "Per missions",
+      "Permission s",
+      "Perm issions",
+      "9 69",
+      "96 9",
+      "Ġ ----------------------------------------------------------------------------",
+      "Ġ---------------------------------------------------------------- ------------",
+      "Ġ------------------------------------------------ ----------------------------",
+      "Ġ------------ ----------------------------------------------------------------",
+      "Ġ------ ----------------------------------------------------------------------",
+      "Ġ------------------------------------------------------------ ----------------",
+      "Ġ------------------------------------------------------------------------- ---",
+      "Ġ containers",
+      "Ġcont ainers",
+      "Ġcontainer s",
+      "Ġcontain ers",
+      "Ġconta iners",
+      ": set",
+      ":s et",
+      "_ xml",
+      "_x ml",
+      "Ġwh ilst",
+      "Th rough",
+      "Thr ough",
+      "Ġv align",
+      "Ġval ign",
+      "Ġworld s",
+      "Ġwor lds",
+      "C ORD",
+      "CO RD",
+      "COR D",
+      "ED IA",
+      "EDI A",
+      "ÑĢ ов",
+      "ÑĢо в",
+      "Ġs pare",
+      "Ġsp are",
+      "Ġspa re",
+      "Ġspar e",
+      "Ġ Had",
+      "ĠH ad",
+      "ĠHa d",
+      "Ġ DEF",
+      "ĠD EF",
+      "ĠDE F",
+      "( ptr",
+      "(p tr",
+      "(pt r",
+      "Ġw arming",
+      "Ġwar ming",
+      "Ġwarm ing",
+      "8 98",
+      "89 8",
+      "ठ¾",
+      "Ġcons ensus",
+      "a gne",
+      "ag ne",
+      "agn e",
+      "C TL",
+      "CT L",
+      "Ġ ìķ",
+      "Ġì ķ",
+      ". Main",
+      ".M ain",
+      ".Ma in",
+      "web Element",
+      "Ġp ist",
+      "Ġpi st",
+      "Ġpis t",
+      "F lash",
+      "Fl ash",
+      "App end",
+      "Ap pend",
+      "Appe nd",
+      ".tw img",
+      "T ap",
+      "Ta p",
+      "Ġveget ables",
+      "Ġvegetable s",
+      "a lg",
+      "al g",
+      "0 58",
+      "05 8",
+      ". sample",
+      ".s ample",
+      ".sam ple",
+      "Ġco aching",
+      "Ġcoach ing",
+      "( ind",
+      "(i nd",
+      "(in d",
+      "Cell Value",
+      "Check Box",
+      "Ġ Hell",
+      "ĠH ell",
+      "ĠHe ll",
+      "ĠHel l",
+      "R OOT",
+      "RO OT",
+      "7 96",
+      "79 6",
+      "Ġst adium",
+      "Ġstad ium",
+      "Ġinvestig ating",
+      ") %",
+      "s ted",
+      "st ed",
+      "ste d",
+      "9 65",
+      "96 5",
+      "Ġ Writing",
+      "ĠW riting",
+      "ĠWr iting",
+      "Ġ ê²",
+      "Ġê ²",
+      "Ġ uno",
+      "Ġu no",
+      "Ġun o",
+      "Ġ {{--",
+      "Ġ{{ --",
+      "Ġ coords",
+      "Ġco ords",
+      "Ġcoord s",
+      "Ġun ser",
+      "Ġuns er",
+      "o rganization",
+      "organ ization",
+      "Ġ Crime",
+      "ĠCr ime",
+      "ĠCri me",
+      "ĠDem ocrat",
+      "ĠDemocr at",
+      "5 79",
+      "57 9",
+      "Ġ vin",
+      "Ġv in",
+      "Ġvi n",
+      "/ file",
+      "/f ile",
+      "0 78",
+      "07 8",
+      "- api",
+      "-a pi",
+      "-ap i",
+      "Ġ Ay",
+      "ĠA y",
+      "Ġf unded",
+      "Ġfun ded",
+      "Ġfund ed",
+      "ĠBr exit",
+      "ĠBre xit",
+      "ĠG h",
+      "ent ina",
+      "enti na",
+      "entin a",
+      "c ases",
+      "ca ses",
+      "case s",
+      "cas es",
+      "Ġ dash",
+      "Ġd ash",
+      "Ġda sh",
+      "Ġdas h",
+      "Ġ!! }Ċ",
+      "Ġ!!} Ċ",
+      "H I",
+      "Off ice",
+      "Ġcap tain",
+      "Ġcapt ain",
+      "Ġwor ship",
+      "Ġwors hip",
+      "Ġworsh ip",
+      "\\ C",
+      "7 33",
+      "73 3",
+      "8 51",
+      "85 1",
+      "Ġg lobe",
+      "Ġgl obe",
+      "Ġglob e",
+      "Ġglo be",
+      "_ board",
+      "_b oard",
+      "_bo ard",
+      "Ġb abies",
+      "Ġba bies",
+      "Ġbab ies",
+      "8 76",
+      "87 6",
+      "Ġcon secutive",
+      "Ġconsec utive",
+      "Ġenh anced",
+      "Ġenhance d",
+      "er eum",
+      "ere um",
+      "ĠAd vis",
+      "ĠAdv is",
+      "Ġg rain",
+      "Ġgr ain",
+      "Ġgra in",
+      "7 71",
+      "77 1",
+      "Ġc raw",
+      "Ġcr aw",
+      "Ġcra w",
+      "ancell ationToken",
+      "ancellation Token",
+      ". alpha",
+      ".al pha",
+      "_ WITH",
+      "_W ITH",
+      "ĠO tt",
+      "ĠOt t",
+      "Ġ Cool",
+      "ĠC ool",
+      "ĠCo ol",
+      ". batch",
+      ".b atch",
+      ".bat ch",
+      "Ġ verified",
+      "Ġver ified",
+      "( callback",
+      "(c allback",
+      "(call back",
+      "Ġreg ards",
+      "Ġregard s",
+      "6 83",
+      "68 3",
+      "Ġ IntPtr",
+      "ĠInt Ptr",
+      "o ucher",
+      "ou cher",
+      "ouch er",
+      "Ġ kin",
+      "Ġk in",
+      "Ġki n",
+      "Ġt ouched",
+      "Ġtouch ed",
+      "Ġtou ched",
+      "it Ãł",
+      "a thon",
+      "at hon",
+      "ath on",
+      "Ġadj acent",
+      "Ġaccom panied",
+      "L EAR",
+      "LE AR",
+      "Ġim plies",
+      "Ġimp lies",
+      "Ġimpl ies",
+      "Ġ hill",
+      "Ġh ill",
+      "Ġhi ll",
+      "Ġhil l",
+      "ĠB altimore",
+      "ĠBalt imore",
+      "= \"-",
+      "=\" -",
+      "F inally",
+      "Fin ally",
+      "Final ly",
+      "8 83",
+      "88 3",
+      "S am",
+      "Sa m",
+      "ic opt",
+      "ico pt",
+      "Ġs od",
+      "Ġso d",
+      "Ġ maj",
+      "Ġm aj",
+      "Ġma j",
+      "Ġ Shipping",
+      "ĠSh ipping",
+      "ĠShip ping",
+      "ĠShi pping",
+      "Ġ getAll",
+      "Ġget All",
+      "Ġco aches",
+      "Ġcoach es",
+      "Ġdon ations",
+      "Ġdonation s",
+      "i lot",
+      "il ot",
+      "ilo t",
+      "Ġ Tar",
+      "ĠT ar",
+      "ĠTa r",
+      "c err",
+      "ce rr",
+      "cer r",
+      "Ġ badge",
+      "Ġb adge",
+      "Ġbad ge",
+      "Ġba dge",
+      "Ġ markers",
+      "Ġm arkers",
+      "Ġmark ers",
+      "Ġmar kers",
+      "Ġmarker s",
+      "Ġ Rand",
+      "ĠR and",
+      "ĠRa nd",
+      "ĠRan d",
+      "a ised",
+      "ai sed",
+      "ais ed",
+      "aise d",
+      "iss ance",
+      "issa nce",
+      "issan ce",
+      "Ġexpl oring",
+      "Ġexplo ring",
+      "Ġexplor ing",
+      "8 27",
+      "82 7",
+      "u ced",
+      "uc ed",
+      "uce d",
+      "ĠInd onesia",
+      "ĠIndones ia",
+      "ĠIndo nesia",
+      "Ġbe neath",
+      "Ġbene ath",
+      "Ġm agnetic",
+      "Ġmagn etic",
+      "Ġmagnet ic",
+      "Ġm useum",
+      "Ġmus eum",
+      "Ġmuse um",
+      "match Condition",
+      "Ġdis rupt",
+      "Ġre mind",
+      "Ġrem ind",
+      "Ġremin d",
+      "Ġ TM",
+      "ĠT M",
+      "Ġ /><",
+      "Ġ/ ><",
+      "Ġ/> <",
+      "Ġf ool",
+      "Ġfo ol",
+      "Ġfoo l",
+      "Ġ esk",
+      "Ġe sk",
+      "Ġes k",
+      ". Null",
+      ".N ull",
+      "Ġ Dies",
+      "ĠD ies",
+      "ĠDi es",
+      "ĠDie s",
+      "_ OUTPUT",
+      "_OUT PUT",
+      "_TYPE D",
+      "_TYP ED",
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+      "Ġpaint ed",
+      "Ġpain ted",
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+      "67 3",
+      "7 35",
+      "73 5",
+      "Ġsoph istic",
+      "Ġ Bear",
+      "ĠB ear",
+      "ĠBe ar",
+      "ĠBea r",
+      "* n",
+      "_ PACK",
+      "_P ACK",
+      "_PA CK",
+      "Ġdel ivering",
+      "Ġdeliver ing",
+      "Ġ COUNT",
+      "ĠC OUNT",
+      "ĠCO UNT",
+      "åį ķ",
+      "Ġj eg",
+      "Ġje g",
+      "- car",
+      "-c ar",
+      "-ca r",
+      "f name",
+      "fn ame",
+      "Ġr anging",
+      "Ġran ging",
+      "Ġrang ing",
+      "8 48",
+      "84 8",
+      "Ġ Neg",
+      "ĠN eg",
+      "ĠNe g",
+      "/ ******/",
+      "Ġ CHAR",
+      "ĠCH AR",
+      "Ġu ltra",
+      "Ġult ra",
+      "Ġul tra",
+      "Ġultr a",
+      "G rad",
+      "Gr ad",
+      "= t",
+      "Ġjud ges",
+      "Ġjudge s",
+      "ĠD ise",
+      "ĠDis e",
+      "ĠDi se",
+      "an ners",
+      "ann ers",
+      "anner s",
+      "anne rs",
+      "9 85",
+      "98 5",
+      "8 91",
+      "89 1",
+      "8 61",
+      "86 1",
+      "Ġ scal",
+      "Ġs cal",
+      "Ġsc al",
+      "Ġsca l",
+      "_ cal",
+      "_c al",
+      "_ca l",
+      "ĠCON NECTION",
+      "ĠCONNECT ION",
+      "_ embed",
+      "_em bed",
+      "_emb ed",
+      "( fn",
+      "(f n",
+      "Ġ Craft",
+      "ĠC raft",
+      "ĠCr aft",
+      "ĠCra ft",
+      "0 47",
+      "04 7",
+      "Ġ Pas",
+      "ĠP as",
+      "ĠPa s",
+      "\" )->",
+      "\") ->",
+      ". convert",
+      ".con vert",
+      ".conv ert",
+      ". resource",
+      ".re source",
+      ".res ource",
+      "Ġ STATUS",
+      "ĠST ATUS",
+      "ĠSTAT US",
+      "ô ng",
+      "ôn g",
+      "Ġ Tit",
+      "ĠT it",
+      "ĠTi t",
+      "Ġclass room",
+      "ĠArch itect",
+      "ĠK ings",
+      "ĠKing s",
+      "ĠKin gs",
+      "Ġ steady",
+      "Ġste ady",
+      "Ġstead y",
+      "/* !Ċ",
+      "/*! Ċ",
+      "Ġ Gene",
+      "ĠG ene",
+      "ĠGe ne",
+      "ĠGen e",
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+      ")\" ;Ċ",
+      "i cia",
+      "ic ia",
+      "ici a",
+      "s tan",
+      "st an",
+      "sta n",
+      "Ġ Construction",
+      "ĠCon struction",
+      "ĠConstruct ion",
+      "ĠConstr uction",
+      "um per",
+      "ump er",
+      "9 51",
+      "95 1",
+      "w c",
+      "Ġ CBS",
+      "ĠC BS",
+      "ĠCB S",
+      "in ging",
+      "ing ing",
+      "- party",
+      "-p arty",
+      "-part y",
+      "-par ty",
+      "( driver",
+      "(d river",
+      "(dr iver",
+      "M ARK",
+      "MA RK",
+      "MAR K",
+      "0 82",
+      "08 2",
+      "Ġ nested",
+      "Ġn ested",
+      "Ġne sted",
+      "Ġnest ed",
+      "Ġneste d",
+      "Ġnes ted",
+      "e ward",
+      "ew ard",
+      "Ġ dependency",
+      "Ġd ependency",
+      "Ġdep endency",
+      "Ġdepend ency",
+      "Ġm ales",
+      "Ġma les",
+      "Ġmale s",
+      "Ġmal es",
+      "9 28",
+      "92 8",
+      "Ġ ONE",
+      "ĠO NE",
+      "ĠON E",
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+      "Ġhandler s",
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+      "Ġurl lib",
+      "Ġur llib",
+      ".System Colors",
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+      "-se t",
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+      "Ġ} čĊčĊčĊ",
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+      "Ġ}čĊčĊ čĊ",
+      "Ġt olerance",
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+      "0 83",
+      "08 3",
+      "Ġexam ined",
+      "Ġexamine d",
+      "Ð Ķ",
+      "Ġ cf",
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+      "f orge",
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+      "ĠTH EN",
+      "ell ido",
+      "elli do",
+      "c ia",
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+      ",re s",
+      "6 59",
+      "65 9",
+      "6 81",
+      "68 1",
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+      ". nd",
+      ".n d",
+      "( Int",
+      "(I nt",
+      "(In t",
+      "Ġ Authors",
+      "ĠAuthor s",
+      "ĠAuth ors",
+      "ĠApp CompatActivity",
+      "' {",
+      "Ġ medi",
+      "Ġm edi",
+      "Ġme di",
+      "Ġmed i",
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+      "ig m",
+      "ce ipt",
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+      "Ġau ss",
+      "Ġaus s",
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+      "Ġtarg eting",
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+      "ĠKey s",
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+      "h n",
+      ": ]Ċ",
+      ":] Ċ",
+      "Ġmin eral",
+      "Ġmine ral",
+      "Ġminer al",
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+      "76 1",
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+      "ome d",
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+      "Ġshe ets",
+      "Ġsheet s",
+      "Ġc amb",
+      "Ġca mb",
+      "Ġcam b",
+      "Ġdead ly",
+      ". inject",
+      ".in ject",
+      "( unit",
+      "(u nit",
+      "(un it",
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+      "ĠS election",
+      "ĠSe lection",
+      "ĠSelect ion",
+      "ĠSel ection",
+      "ĠSele ction",
+      ".g ms",
+      "( connection",
+      "(con nection",
+      "(conn ection",
+      "(connect ion",
+      "Ġ $(\"",
+      "Ġ$ (\"",
+      "Ġ$( \"",
+      "é mon",
+      "ém on",
+      "Ġ Currently",
+      "ĠCurrent ly",
+      "p te",
+      "pt e",
+      "_ paths",
+      "_p aths",
+      "_path s",
+      "_pa ths",
+      "_pat hs",
+      "8 47",
+      "84 7",
+      "le af",
+      "lea f",
+      "Ġimp lications",
+      "Ġimpl ications",
+      "Ġimplication s",
+      "Ġimplic ations",
+      "p osal",
+      "pos al",
+      "po sal",
+      "ä½ į",
+      "[ /",
+      "a ncia",
+      "an cia",
+      "anc ia",
+      "é Ľ",
+      "m ul",
+      "mu l",
+      "c ie",
+      "ci e",
+      "Ġge ile",
+      "Ġgeil e",
+      "6 79",
+      "67 9",
+      "im als",
+      "imal s",
+      "ima ls",
+      "UI View",
+      "Ġs urre",
+      "Ġsur re",
+      "s erialize",
+      "serial ize",
+      "I SO",
+      "IS O",
+      "Ġar bitrary",
+      "Ġarbit rary",
+      "Ġarbitr ary",
+      "Ġsock addr",
+      ". fn",
+      ".f n",
+      "Ġ Merc",
+      "ĠM erc",
+      "ĠMe rc",
+      "ĠMer c",
+      "Ġ casting",
+      "Ġc asting",
+      "Ġcas ting",
+      "Ġcast ing",
+      "Key Down",
+      "Ġ newValue",
+      "Ġnew Value",
+      "ĠnewVal ue",
+      "op ens",
+      "open s",
+      "ope ns",
+      "7 17",
+      "71 7",
+      "T odo",
+      "To do",
+      "Ġflex ibility",
+      "ĉ ĉĉĉĠĠ",
+      "ĉĉ ĉĉĠĠ",
+      "ĉĉĉĉ ĠĠ",
+      "ĉĉĉ ĉĠĠ",
+      "ĉĉĉĉĠ Ġ",
+      "V elocity",
+      "Vel ocity",
+      "ú n",
+      "r owing",
+      "ro wing",
+      "row ing",
+      "Ġ computed",
+      "Ġcom puted",
+      "Ġcomp uted",
+      "Ġcomput ed",
+      "Ġcompute d",
+      "` )Ċ",
+      "`) Ċ",
+      "st atement",
+      "state ment",
+      "stat ement",
+      "sta tement",
+      "Ġ ri",
+      "Ġr i",
+      "_ cart",
+      "_c art",
+      "_car t",
+      "_ca rt",
+      "L ow",
+      "Lo w",
+      "trans fer",
+      ". nav",
+      ".n av",
+      "Ġ grave",
+      "Ġgr ave",
+      "Ġgra ve",
+      "Ġgrav e",
+      "Ġ Door",
+      "ĠD oor",
+      "ĠDo or",
+      "ĉ alert",
+      "ĉal ert",
+      "6 91",
+      "69 1",
+      "6 98",
+      "69 8",
+      ". subscribe",
+      ".sub scribe",
+      "- profile",
+      "-pro file",
+      "-pr ofile",
+      "-prof ile",
+      "ĉ base",
+      "ĉb ase",
+      "Ġ âĪĴ",
+      "ĠâĪ Ĵ",
+      "_ _ĊĊ",
+      "__ ĊĊ",
+      "__Ċ Ċ",
+      "Ġengine ers",
+      "Ġengineer s",
+      "Ġexp losion",
+      "Ġexplos ion",
+      "Ġd ari",
+      "Ġda ri",
+      "Ġdar i",
+      "6 82",
+      "68 2",
+      "ĉ Log",
+      "ĉL og",
+      "o nal",
+      "on al",
+      "ona l",
+      "Ġis olated",
+      "Ġisol ated",
+      "Ġiso lated",
+      "Ġisolate d",
+      "{ i",
+      "Ġ Msg",
+      "ĠM sg",
+      "ĠMs g",
+      "F uture",
+      "Fu ture",
+      "Ġr acist",
+      "Ġrac ist",
+      "- wrap",
+      "-w rap",
+      "Ġ Vers",
+      "ĠV ers",
+      "ĠVer s",
+      "ĠVe rs",
+      "b org",
+      "bo rg",
+      "bor g",
+      "I SION",
+      "IS ION",
+      "Ġ ÑĢаÐ",
+      "ĠÑĢ аÐ",
+      "ĠÑĢа Ð",
+      "ĠY an",
+      "ĠYa n",
+      "8 36",
+      "83 6",
+      "init With",
+      "Ġn omin",
+      "Ġno min",
+      "Ġnom in",
+      "( empty",
+      "(em pty",
+      "(emp ty",
+      "ÃŃ n",
+      "ã Ĥ¤",
+      "ãĤ ¤",
+      "ĉ width",
+      "ĉw idth",
+      "Ġch amber",
+      "Ġcham ber",
+      "/ ajax",
+      "/a jax",
+      "E MP",
+      "EM P",
+      "0 93",
+      "09 3",
+      "Ġne ces",
+      "Ġnec es",
+      "i vos",
+      "iv os",
+      "ivo s",
+      "log ic",
+      "* )&",
+      "*) &",
+      "cri pts",
+      "cript s",
+      "9 76",
+      "97 6",
+      "Row At",
+      "0 53",
+      "05 3",
+      "i blings",
+      "ib lings",
+      "ibling s",
+      "Ġ ears",
+      "Ġe ars",
+      "Ġear s",
+      "Ġea rs",
+      "Ġcomp uting",
+      "Ġcomput ing",
+      "Ġ maker",
+      "Ġm aker",
+      "Ġmake r",
+      "Ġma ker",
+      "Ġmak er",
+      "Ġ Neither",
+      "ĠN either",
+      "ĠNe ither",
+      "b readcrumb",
+      "Ġ serialize",
+      "Ġs erialize",
+      "Ġserial ize",
+      "Ġ Within",
+      "ĠWith in",
+      "ĠWi thin",
+      "ĠWit hin",
+      "Ġd ell",
+      "Ġde ll",
+      "Ġdel l",
+      "_ TRACE",
+      "_TR ACE",
+      "_TRA CE",
+      "0 92",
+      "09 2",
+      "= a",
+      "Ġw ishes",
+      "Ġwish es",
+      "Ġwis hes",
+      "- inch",
+      "-in ch",
+      "-inc h",
+      "ĠD or",
+      "ĠDo r",
+      "Ġinnoc ent",
+      "ĠD ol",
+      "ĠDo l",
+      "Ġint ens",
+      "Ġinte ns",
+      "for ced",
+      "force d",
+      "forc ed",
+      "0 54",
+      "05 4",
+      "Ġ BIT",
+      "ĠB IT",
+      "ĠBI T",
+      "Ġphot ographs",
+      "Ġphoto graphs",
+      "Ġphotograph s",
+      "Ġc asa",
+      "Ġca sa",
+      "Ġcas a",
+      "Ġ Len",
+      "ĠL en",
+      "ĠLe n",
+      "\\ Framework",
+      "\\F ramework",
+      ". Simple",
+      ".S imple",
+      "Ġd ear",
+      "Ġde ar",
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+      "89 5",
+      ") /(",
+      ")/ (",
+      "ip pi",
+      "ipp i",
+      "Ġ owns",
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+      "Ġow ns",
+      "P layers",
+      "Pl ayers",
+      "Player s",
+      "Play ers",
+      "Ġprop osals",
+      "Ġpropos als",
+      "Ġproposal s",
+      ". pi",
+      ".p i",
+      "us alem",
+      "usa lem",
+      "usal em",
+      "D amage",
+      "Da mage",
+      "Dam age",
+      "Ġcal ories",
+      "Ġcalorie s",
+      "Ġcalor ies",
+      "Ġ Creative",
+      "ĠC reative",
+      "ĠCre ative",
+      "ĠCreat ive",
+      "Ġ [$",
+      "Ġ[ $",
+      "Ġ //čĊ",
+      "Ġ// čĊ",
+      "Ġ/ /čĊ",
+      "7 86",
+      "78 6",
+      "And View",
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+      "_ look",
+      "_l ook",
+      "_lo ok",
+      "Ġ strcmp",
+      "Ġstr cmp",
+      "Y N",
+      "a ired",
+      "air ed",
+      "ai red",
+      "aire d",
+      "Ġ audit",
+      "Ġa udit",
+      "Ġaud it",
+      "Ġau dit",
+      "Ġaudi t",
+      "о ÑģÑĤ",
+      "оÑģ ÑĤ",
+      "Ġ Reverse",
+      "ĠRe verse",
+      "ĠRev erse",
+      "ĠRever se",
+      "ropri ate",
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+      "etic s",
+      "eti cs",
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+      ".o r",
+      "Ġ predicate",
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+      "Ġpred icate",
+      "Ġpredic ate",
+      "Ġfin ishing",
+      "Ġfinish ing",
+      "Ġ kle",
+      "Ġk le",
+      "Ġkl e",
+      "ĠRe pos",
+      "ĠRep os",
+      "ĠRepo s",
+      "ĠK han",
+      "ĠKh an",
+      "Ġ Making",
+      "ĠM aking",
+      "ĠMa king",
+      "ĠMak ing",
+      "Ġ FS",
+      "ĠF S",
+      "Ġ pute",
+      "Ġp ute",
+      "Ġput e",
+      "Ġpu te",
+      "ĉ state",
+      "ĉst ate",
+      "ĉstat e",
+      "_S UPPORT",
+      "_SUP PORT",
+      "' -",
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+      "orient ation",
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+      "at ura",
+      "atur a",
+      "atu ra",
+      "Ġ expects",
+      "Ġex pects",
+      "Ġexp ects",
+      "Ġexpect s",
+      "Ġ Shadow",
+      "ĠSh adow",
+      "9 66",
+      "96 6",
+      "Ġorgan iz",
+      "å ŀĭ",
+      "åŀ ĭ",
+      "Ġsusp ension",
+      "6 69",
+      "66 9",
+      "Ġ uit",
+      "Ġu it",
+      "Ġui t",
+      "Ġsimult aneously",
+      "Ġsimultaneous ly",
+      "ĠAff ero",
+      ": \");Ċ",
+      ":\" );Ċ",
+      ":\") ;Ċ",
+      "Ġ rocket",
+      "Ġr ocket",
+      "Ġro cket",
+      "Ġrock et",
+      "Ġroc ket",
+      "c as",
+      "ca s",
+      "eter mine",
+      "etermin e",
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+      "ac eut",
+      "6 93",
+      "69 3",
+      "x l",
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+      "ĠA MD",
+      "ĠAM D",
+      "( graph",
+      "(g raph",
+      "(gr aph",
+      "7 58",
+      "75 8",
+      "8 72",
+      "87 2",
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+      "assoc i",
+      "_ CR",
+      "_C R",
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+      ".ar ange",
+      "0 49",
+      "04 9",
+      "(j Label",
+      "Ġbe ef",
+      "Ġbee f",
+      "Qu ick",
+      "Qui ck",
+      ". card",
+      ".c ard",
+      ".ca rd",
+      ".car d",
+      "] ):",
+      "]) :",
+      "- gr",
+      "-g r",
+      "7 97",
+      "79 7",
+      ".G ONE",
+      ".GO NE",
+      "_ CLOSE",
+      "_C LOSE",
+      "_CL OSE",
+      "ĠN ev",
+      "ĠNe v",
+      "ÃŃ as",
+      "ÃŃa s",
+      "Ġstep ped",
+      "Ġste pped",
+      "Ġ Freedom",
+      "ĠFree dom",
+      "ĠFre edom",
+      "ĠFreed om",
+      "Ġ WR",
+      "ĠW R",
+      "NS Array",
+      "_ rx",
+      "_r x",
+      "_ dialog",
+      "_d ialog",
+      "_di alog",
+      "Ġhot els",
+      "Ġhotel s",
+      "9 53",
+      "95 3",
+      "Ġ( \\<",
+      "Ġ(\\ <",
+      "Ġ Diamond",
+      "ĠD iamond",
+      "ĠDia mond",
+      "Ġass umption",
+      "Ġassum ption",
+      "u mi",
+      "um i",
+      "( items",
+      "(i tems",
+      "(item s",
+      "(it ems",
+      "č ččĊ",
+      "æ³ ķ",
+      "Ġ nel",
+      "Ġn el",
+      "Ġne l",
+      "B ooks",
+      "Bo oks",
+      "Book s",
+      "åİ ¿",
+      "u sb",
+      "us b",
+      "Ġ FIN",
+      "ĠF IN",
+      "ĠFI N",
+      "8 81",
+      "88 1",
+      "æ ¬",
+      "Ġcorpor ations",
+      "Ġcorporation s",
+      "U SA",
+      "US A",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "9 29",
+      "92 9",
+      ". property",
+      ".p roperty",
+      ".pro perty",
+      ".prop erty",
+      "e wise",
+      "ew ise",
+      "ewis e",
+      "_ plot",
+      "_p lot",
+      "_pl ot",
+      "\" >';Ċ",
+      "\"> ';Ċ",
+      "\">' ;Ċ",
+      "Ġpe pper",
+      "Ġpepp er",
+      "Ġpep per",
+      "9 89",
+      "98 9",
+      "Ġ shed",
+      "Ġs hed",
+      "Ġsh ed",
+      "Ġshe d",
+      "Ġ Medium",
+      "ĠM edium",
+      "ĠMed ium",
+      "ĠMedi um",
+      "Ġ Cookie",
+      "ĠC ookie",
+      "ĠCo okie",
+      "ĠCook ie",
+      "8 89",
+      "88 9",
+      "Ġoverse as",
+      "ed or",
+      "edo r",
+      "as urement",
+      "asure ment",
+      "asu rement",
+      "7 66",
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+      "åŃ ĺ",
+      "Ġ' .'",
+      "Ġ'. '",
+      "Ġ php",
+      "Ġp hp",
+      "Ġph p",
+      "Ġ PROC",
+      "ĠP ROC",
+      "ĠPRO C",
+      "ĠPR OC",
+      "Ġexcept ional",
+      "Ġexception al",
+      "( th",
+      "(t h",
+      "Ġ Jet",
+      "ĠJ et",
+      "ĠJe t",
+      "Ġ occupied",
+      "Ġoccup ied",
+      ". setImage",
+      ".set Image",
+      "Ġ Related",
+      "ĠRe lated",
+      "ĠRel ated",
+      "u cker",
+      "uc ker",
+      "uck er",
+      "M embers",
+      "Member s",
+      "Mem bers",
+      "PR INT",
+      "PRI NT",
+      "ĠG lo",
+      "ĠGl o",
+      "_ VIEW",
+      "_V IEW",
+      "} \",Ċ",
+      "}\", Ċ",
+      "}\" ,Ċ",
+      "Ġad option",
+      "Ġadopt ion",
+      "Ġado ption",
+      "[ ])Ċ",
+      "[] )Ċ",
+      "[]) Ċ",
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+      "84 2",
+      "ĠMiss ouri",
+      "ĠLin coln",
+      "er ald",
+      "era ld",
+      "eral d",
+      "P opup",
+      "Pop up",
+      "Ġf ate",
+      "Ġfa te",
+      "Ġfat e",
+      "- bootstrap",
+      "-boot strap",
+      "f ections",
+      "fe ctions",
+      "fect ions",
+      "fection s",
+      "Ġ Poll",
+      "ĠP oll",
+      "ĠPol l",
+      "ĠPo ll",
+      "_ ARGS",
+      "_ARG S",
+      "_AR GS",
+      "in ance",
+      "ina nce",
+      "inan ce",
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+      "69 7",
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+      "-h ome",
+      ". ),",
+      ".) ,",
+      "_ done",
+      "_d one",
+      "_do ne",
+      "_don e",
+      "6 94",
+      "69 4",
+      ": ĊĊĊ",
+      ":Ċ ĊĊ",
+      ":ĊĊ Ċ",
+      "Ġdiscuss ing",
+      "Ġ SQLException",
+      "ĠSQL Exception",
+      "Ġelect ro",
+      "Ġelectr o",
+      "ĉ req",
+      "ĉr eq",
+      "ĉre q",
+      "Ġ zw",
+      "Ġz w",
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+      "88 6",
+      "Ġl ui",
+      "Ġlu i",
+      "9 32",
+      "93 2",
+      "Ġover night",
+      "$ user",
+      "Ġ WAY",
+      "ĠW AY",
+      "ĠWA Y",
+      "Ġall erg",
+      "Ġalle rg",
+      "Ġaller g",
+      "Ġdis appointed",
+      "Ġdisappoint ed",
+      "Ġrad iation",
+      "Ġradi ation",
+      "Ġim pressed",
+      "Ġimp ressed",
+      "Ġimpress ed",
+      "Ġimpr essed",
+      "Ġimpres sed",
+      "if icates",
+      "ific ates",
+      "ificate s",
+      "ifica tes",
+      "Ġt ob",
+      "Ġto b",
+      "CL ASS",
+      "CLA SS",
+      "Ġ cuda",
+      "Ġc uda",
+      "Ġcu da",
+      "Ġcud a",
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+      "_d et",
+      "_de t",
+      "- post",
+      "-p ost",
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+      "ul u",
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+      "-h and",
+      ". year",
+      ".y ear",
+      "Ġ Mongo",
+      "ĠM ongo",
+      "ĠMon go",
+      "ĠMo ngo",
+      "ĠMong o",
+      "Ġun clear",
+      "Ġunc lear",
+      "Ġuncle ar",
+      ". engine",
+      ".e ngine",
+      ".eng ine",
+      "WEB PACK",
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+      "ri ces",
+      "ric es",
+      "rice s",
+      "_ ACCESS",
+      "_AC CESS",
+      "_ACC ESS",
+      "Ġh olidays",
+      "Ġholiday s",
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+      ". Identity",
+      ".Id entity",
+      "Ġ Gov",
+      "ĠG ov",
+      "ĠGo v",
+      "Ġpass ionate",
+      "Ġpassion ate",
+      "! !.",
+      "!! .",
+      "ĠG reece",
+      "ĠGre ece",
+      "ĠGree ce",
+      "plus plus",
+      "' ));",
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+      "_con d",
+      "_co nd",
+      "Ġ sponsor",
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+      "Ġspons or",
+      "M ODULE",
+      "MOD ULE",
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+      "_p roc",
+      "_pro c",
+      "_pr oc",
+      "Ġ $Ċ",
+      "Ġ$ Ċ",
+      "Ġr ational",
+      "Ġrat ional",
+      "Ġratio nal",
+      "Ġration al",
+      ". Tool",
+      ".T ool",
+      ".To ol",
+      "Ġi hr",
+      "Ġih r",
+      "c ca",
+      "cc a",
+      "åĵ ģ",
+      "ĠE state",
+      "ĠEst ate",
+      "ĠEsta te",
+      "IB UTE",
+      "IBUT E",
+      "Action Performed",
+      "Ġ Solar",
+      "ĠS olar",
+      "ĠSo lar",
+      "ĠSol ar",
+      "¦ Ĥ",
+      "Ġequ ity",
+      "Ġeq uity",
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+      "6 89",
+      "68 9",
+      "Ġ Luke",
+      "ĠL uke",
+      "ĠLu ke",
+      "ĠLuk e",
+      "ĠGuard ian",
+      "Ġ encrypted",
+      "Ġenc rypted",
+      "Ġencrypt ed",
+      "Ġdom inant",
+      "Ġdomin ant",
+      "Ġdomina nt",
+      ". place",
+      ".p lace",
+      ".pl ace",
+      "Ġ NV",
+      "ĠN V",
+      "8 39",
+      "83 9",
+      "Ġton gue",
+      "Ġtong ue",
+      "( Get",
+      "(G et",
+      "Ġst ainless",
+      "Ġstain less",
+      ". Play",
+      ".P lay",
+      ".Pl ay",
+      "Ġ eb",
+      "Ġe b",
+      "a ci",
+      "ac i",
+      ". buffer",
+      ".b uffer",
+      ".buf fer",
+      "readcr umbs",
+      "readcrumb s",
+      "Ġv accine",
+      "Ġvacc ine",
+      "p rom",
+      "pr om",
+      "pro m",
+      "9 79",
+      "97 9",
+      "Ġ userInfo",
+      "Ġuser Info",
+      "Ġ slug",
+      "Ġs lug",
+      "Ġsl ug",
+      "Ġslu g",
+      "Serial izedName",
+      "Serialized Name",
+      "- wide",
+      "-w ide",
+      "Ġre actions",
+      "Ġreaction s",
+      "Ġreact ions",
+      "Ġ Yang",
+      "ĠY ang",
+      "ĠYan g",
+      "ĠYa ng",
+      "Ġ Adds",
+      "ĠA dds",
+      "ĠAd ds",
+      "ĠAdd s",
+      "( userId",
+      "(user Id",
+      "Ġ plates",
+      "Ġp lates",
+      "Ġpl ates",
+      "Ġplate s",
+      "Ġpla tes",
+      "Ġplat es",
+      "Ġ MEM",
+      "ĠM EM",
+      "ĠME M",
+      "Ġb ail",
+      "Ġba il",
+      "In side",
+      "Ins ide",
+      "e ted",
+      "et ed",
+      "ete d",
+      "Ġ elsif",
+      "Ġels if",
+      "Ġs ake",
+      "Ġsa ke",
+      "Ġsak e",
+      "Ġ cycles",
+      "Ġc ycles",
+      "Ġcy cles",
+      "Ġcycle s",
+      "Ġcycl es",
+      "Ġcyc les",
+      "Ġ ìĹ",
+      "Ġì Ĺ",
+      "ĉ I",
+      "- collapse",
+      "-c ollapse",
+      "8 41",
+      "84 1",
+      "Ġ GMT",
+      "ĠG MT",
+      "ĠGM T",
+      "8 14",
+      "81 4",
+      "De claration",
+      "Ġg ros",
+      "Ġgr os",
+      "Ġgro s",
+      "Ġre aches",
+      "Ġreach es",
+      "Ġcust ody",
+      "Un til",
+      "Unt il",
+      "7 53",
+      "75 3",
+      "8 56",
+      "85 6",
+      "t u",
+      "ĠC hen",
+      "ĠCh en",
+      "ĠChe n",
+      "Ġ nx",
+      "Ġn x",
+      "( addr",
+      "(add r",
+      "(ad dr",
+      "Ġ Offer",
+      "ĠO ffer",
+      "ĠOff er",
+      "ĠOf fer",
+      "Ġcol leg",
+      "Ġcoll eg",
+      "Ġcolle g",
+      "ass ador",
+      "6 74",
+      "67 4",
+      "Ġ mapper",
+      "Ġm apper",
+      "Ġmap per",
+      "Ġma pper",
+      "8 54",
+      "85 4",
+      "ĠS IGNAL",
+      "ĠSIG NAL",
+      "ĠSIGN AL",
+      "ĠB loom",
+      "ĠBl oom",
+      "ĠBlo om",
+      "ĠH oll",
+      "ĠHol l",
+      "ĠHo ll",
+      "ĠIm per",
+      "ĠImp er",
+      "- des",
+      "-d es",
+      "-de s",
+      "_ site",
+      "_s ite",
+      "_si te",
+      "P roc",
+      "Pro c",
+      "Pr oc",
+      "E qu",
+      "Eq u",
+      "Ġ atomic",
+      "Ġat omic",
+      "Ġatom ic",
+      "Ġ Woman",
+      "ĠW oman",
+      "ĠWo man",
+      "s ent",
+      "se nt",
+      "sen t",
+      "7 38",
+      "73 8",
+      "8 17",
+      "81 7",
+      "s car",
+      "sc ar",
+      "Ġint elligent",
+      "Ġintellig ent",
+      "Ġ Getting",
+      "ĠG etting",
+      "ĠGet ting",
+      "Ġ Registration",
+      "ĠReg istration",
+      "ĠRegistr ation",
+      "Ġ Phill",
+      "ĠP hill",
+      "ĠPh ill",
+      "ĠPhil l",
+      "ĠPhi ll",
+      "Ġ killer",
+      "Ġk iller",
+      "Ġkill er",
+      "Ġkil ler",
+      "Ġki ller",
+      "un icode",
+      "unic ode",
+      "uni code",
+      "Ċ ĉĉĊ",
+      "Ġ Jacob",
+      "ĠJ acob",
+      "ĠJac ob",
+      "ĠJa cob",
+      "Ġ Const",
+      "ĠCon st",
+      "ĠCo nst",
+      "ĠCons t",
+      "Ġ locate",
+      "Ġl ocate",
+      "Ġlo cate",
+      "Ġloc ate",
+      "Ġc aus",
+      "Ġca us",
+      "7 49",
+      "74 9",
+      "ĠSch olar",
+      "ĠScho lar",
+      "Ġ constitutional",
+      "Ġconstitution al",
+      "Ġin flation",
+      "Ġinf lation",
+      "Ġinfl ation",
+      "Ġ Got",
+      "ĠG ot",
+      "ĠGo t",
+      "= array",
+      "=a rray",
+      "en dum",
+      "end um",
+      "Ġ translated",
+      "Ġtrans lated",
+      "Ġtransl ated",
+      "Ġtranslate d",
+      "Ġdiv orce",
+      "Ġdivor ce",
+      "En tries",
+      "Ent ries",
+      "Entr ies",
+      "Ġs or",
+      "Ġso r",
+      "Ġ Quote",
+      "ĠQu ote",
+      "ir lines",
+      "irl ines",
+      "U K",
+      "Ġ excel",
+      "Ġex cel",
+      "Ġexc el",
+      "Ġexce l",
+      "( opt",
+      "(o pt",
+      "(op t",
+      "Ġ ADV",
+      "ĠA DV",
+      "ĠAD V",
+      ", :,",
+      ",: ,",
+      "Ġcont acted",
+      "Ġcontact ed",
+      "7 42",
+      "74 2",
+      "Ġ DA",
+      "ĠD A",
+      "Ġr ings",
+      "Ġring s",
+      "Ġrin gs",
+      "Ġ Industrial",
+      "ĠInd ustrial",
+      "ĠIndust rial",
+      ". getContext",
+      ".get Context",
+      "Ġforg otten",
+      "Ġforgot ten",
+      "Ġ Tan",
+      "ĠT an",
+      "ĠTa n",
+      "Ġ pants",
+      "Ġp ants",
+      "Ġpa nts",
+      "Ġpan ts",
+      "Ġpant s",
+      "Ġ ov",
+      "Ġo v",
+      "Ġ decoder",
+      "Ġde coder",
+      "Ġdec oder",
+      "Ġdecode r",
+      "Ġdeco der",
+      "Ġ Partial",
+      "ĠP artial",
+      "ĠPart ial",
+      "ĠParti al",
+      "Ġ vc",
+      "Ġv c",
+      "Ġb attles",
+      "Ġbattle s",
+      "Ġbatt les",
+      "A rial",
+      "Ar ial",
+      "FRING EMENT",
+      "i rates",
+      "ir ates",
+      "ira tes",
+      "irate s",
+      ", w",
+      "aint enance",
+      "Ġ Od",
+      "ĠO d",
+      "ĠTechn ologies",
+      "åī į",
+      "ĠC arter",
+      "ĠCar ter",
+      "ĠCart er",
+      ". findAll",
+      ".find All",
+      "N ome",
+      "No me",
+      "Nom e",
+      "B en",
+      "Be n",
+      "Ġ Usage",
+      "ĠU sage",
+      "ĠUs age",
+      "ĠUsa ge",
+      "Ġ Picture",
+      "ĠP icture",
+      "ĠPic ture",
+      "Ġbad ly",
+      "_ panel",
+      "_p anel",
+      "_pa nel",
+      "_pan el",
+      "Ġpat ent",
+      "Ġpa tent",
+      "Ġ Protocol",
+      "ĠProt ocol",
+      "ĠProto col",
+      "l otte",
+      "lo tte",
+      "lot te",
+      "ĉ player",
+      "ĉp layer",
+      "ĉpl ayer",
+      "ĉplay er",
+      "j ections",
+      "ject ions",
+      "je ctions",
+      "jection s",
+      "7 46",
+      "74 6",
+      "Ġ dou",
+      "Ġd ou",
+      "Ġdo u",
+      "_ release",
+      "_re lease",
+      "_r elease",
+      "_rel ease",
+      "urn iture",
+      "_ tax",
+      "_t ax",
+      "_ta x",
+      "Ġ Fields",
+      "ĠF ields",
+      "ĠField s",
+      ". dataset",
+      ".d ataset",
+      ".data set",
+      ".dat aset",
+      ".datas et",
+      "_ master",
+      "_m aster",
+      "_ma ster",
+      "_mas ter",
+      "CLUD E",
+      "CLU DE",
+      "ĠPh arm",
+      "ĠPhar m",
+      "b st",
+      "bs t",
+      "Ġoper ational",
+      "Ġoperation al",
+      ". cell",
+      ".c ell",
+      ".ce ll",
+      "Ġident ifying",
+      "Ġidentify ing",
+      "Ġ jwt",
+      "Ġj wt",
+      "t uple",
+      "tu ple",
+      "Ġ TC",
+      "ĠT C",
+      "Ġ Cro",
+      "ĠC ro",
+      "ĠCr o",
+      "9 36",
+      "93 6",
+      "ix map",
+      "- components",
+      "-com ponents",
+      "-component s",
+      "-comp onents",
+      "g eneral",
+      "gen eral",
+      "gener al",
+      "gene ral",
+      "Ġ oz",
+      "Ġo z",
+      "_ De",
+      "_D e",
+      "_ double",
+      "_d ouble",
+      "_do uble",
+      "Ġ Too",
+      "ĠT oo",
+      "ĠTo o",
+      "0 88",
+      "08 8",
+      ".View Group",
+      "8 79",
+      "87 9",
+      "g ate",
+      "ga te",
+      "d ings",
+      "ding s",
+      "din gs",
+      "ph otos",
+      "photo s",
+      "phot os",
+      "Ġgr ande",
+      "Ġgrand e",
+      "Ġgran de",
+      "Ġgra nde",
+      "ol lect",
+      "oll ect",
+      "olle ct",
+      "_ lin",
+      "_l in",
+      "_li n",
+      "Ġaw ful",
+      "f ilters",
+      "filter s",
+      "fil ters",
+      "filt ers",
+      "Ġ alternate",
+      "Ġaltern ate",
+      "e sp",
+      "es p",
+      "Ġ compress",
+      "Ġcom press",
+      "Ġcomp ress",
+      "Ġcompr ess",
+      "e o",
+      "Ġ Scale",
+      "ĠS cale",
+      "ĠSc ale",
+      "ĠScal e",
+      "Ġin direct",
+      "Ġind irect",
+      "Ġindir ect",
+      "Ġ invoice",
+      "Ġin voice",
+      "Ġinv oice",
+      "Ġinvo ice",
+      "ĊĊ ĊĊĊĊĊĊĊĊĊĊĊĊĊĊ",
+      "ĊĊĊĊ ĊĊĊĊĊĊĊĊĊĊĊĊ",
+      "ĊĊĊĊĊĊ ĊĊĊĊĊĊĊĊĊĊ",
+      "ĊĊĊĊĊĊĊĊ ĊĊĊĊĊĊĊĊ",
+      "ĊĊĊĊĊ ĊĊĊĊĊĊĊĊĊĊĊ",
+      "ĊĊĊĊĊĊĊĊĊĊ ĊĊĊĊĊĊ",
+      "ĊĊĊĊĊĊĊ ĊĊĊĊĊĊĊĊĊ",
+      "ĊĊĊĊĊĊĊĊĊĊĊĊ ĊĊĊĊ",
+      "ĊĊĊĊĊĊĊĊĊ ĊĊĊĊĊĊĊ",
+      "ĊĊĊĊĊĊĊĊĊĊĊĊĊĊ ĊĊ",
+      "ĊĊĊĊĊĊĊĊĊĊĊ ĊĊĊĊĊ",
+      "Start ing",
+      "Star ting",
+      "Ġ Players",
+      "ĠP layers",
+      "ĠPl ayers",
+      "ĠPlay ers",
+      "ĠPlayer s",
+      "ĠPla yers",
+      "i ele",
+      "ie le",
+      "iel e",
+      ". then",
+      ".t hen",
+      ".th en",
+      ".the n",
+      "9 81",
+      "98 1",
+      "O rd",
+      "Or d",
+      "Ġ Tuple",
+      "ĠT uple",
+      "ĠTu ple",
+      "ĠTup le",
+      "Ġ bout",
+      "Ġb out",
+      "Ġbo ut",
+      "Ġbou t",
+      "Ġ Statistics",
+      "ĠStat istics",
+      "P review",
+      "Pr eview",
+      "Pre view",
+      "Prev iew",
+      "Ġp uzzle",
+      "Ġpu zzle",
+      "Ġpuzz le",
+      "Ġ Width",
+      "ĠW idth",
+      "ĠWid th",
+      "ST ATE",
+      "STAT E",
+      "STA TE",
+      "Ġ overlay",
+      "Ġover lay",
+      "Ġoverl ay",
+      "ĉ on",
+      "ĉo n",
+      "Ġin fr",
+      "Ġinf r",
+      "Ġsm allest",
+      "Ġsmall est",
+      "l ocked",
+      "lock ed",
+      "loc ked",
+      "ÑĤ о",
+      "s sl",
+      "ss l",
+      "7 79",
+      "77 9",
+      "Ġde emed",
+      "Ġdee med",
+      "Ġdeem ed",
+      "Ġs co",
+      "Ġsc o",
+      "r eck",
+      "re ck",
+      "rec k",
+      "Ġj Button",
+      "Ġ missions",
+      "Ġm issions",
+      "Ġmiss ions",
+      "Ġmission s",
+      "8 71",
+      "87 1",
+      "ç§ °",
+      ".Selected Index",
+      "T ABLE",
+      "TA BLE",
+      "TAB LE",
+      "S ept",
+      "Se pt",
+      "Sep t",
+      "Ġac knowledge",
+      "Ġack nowledge",
+      "Ġacknow ledge",
+      "Ġacknowled ge",
+      "Ġ strtotime",
+      "Ġstrt otime",
+      "Ġ Tell",
+      "ĠT ell",
+      "ĠTe ll",
+      "ĠTel l",
+      "ĠD ak",
+      "ĠDa k",
+      "Ġal uminum",
+      "Ġf ence",
+      "Ġfe nce",
+      "Ġfen ce",
+      "Ġ Stars",
+      "ĠSt ars",
+      "ĠStar s",
+      "ĠSta rs",
+      "CON FIG",
+      "CONF IG",
+      "Ġr etrofit",
+      "Ġretro fit",
+      "Ġ emphasis",
+      "Ġem phasis",
+      "Ġemph asis",
+      "Ġemphas is",
+      "/ header",
+      "/head er",
+      "/he ader",
+      "Ġ Something",
+      "ĠS omething",
+      "ĠSome thing",
+      "ĠSom ething",
+      "in ished",
+      "ini shed",
+      "inish ed",
+      "inis hed",
+      "=' \".$",
+      "='\" .$",
+      "='\". $",
+      "Ġ Validators",
+      "ĠValid ators",
+      "ĠValidator s",
+      "Ġp olar",
+      "Ġpol ar",
+      "Ġpo lar",
+      "s ections",
+      "se ctions",
+      "section s",
+      "sect ions",
+      "9 44",
+      "94 4",
+      ".as px",
+      ".asp x",
+      "Ġa spir",
+      "Ġas pir",
+      "Ġasp ir",
+      ". Mock",
+      ".M ock",
+      "Code Gen",
+      "Ġp eut",
+      "Ġpe ut",
+      "Ġpeu t",
+      "9 71",
+      "97 1",
+      "Ġaccept ing",
+      "Ġb acking",
+      "Ġback ing",
+      "Ġbac king",
+      "P icture",
+      "Pic ture",
+      "/ ap",
+      "/a p",
+      "е г",
+      "еР³",
+      "_ SEC",
+      "_S EC",
+      "_SE C",
+      "- use",
+      "-us e",
+      "-u se",
+      "an notation",
+      "ann otation",
+      "annot ation",
+      "Ġc ognitive",
+      "Ġcogn itive",
+      "Ġg rip",
+      "Ġgr ip",
+      "Ġgri p",
+      "h our",
+      "ho ur",
+      "hou r",
+      "Ġ Legal",
+      "ĠL egal",
+      "ĠLe gal",
+      "ĠLeg al",
+      "Ġe pic",
+      "Ġep ic",
+      ". toolStrip",
+      ".t oolStrip",
+      ".tool Strip",
+      ". notify",
+      ".n otify",
+      ".not ify",
+      ". Last",
+      ".L ast",
+      "OR IZ",
+      "M iddleware",
+      "Middle ware",
+      "cri ptions",
+      "cript ions",
+      "cription s",
+      "l ash",
+      "la sh",
+      "las h",
+      "_ FOUND",
+      "_F OUND",
+      "Ġ Liverpool",
+      "ĠLiver pool",
+      "Ġ {}\",",
+      "Ġ{ }\",",
+      "Ġ{} \",",
+      "9 31",
+      "93 1",
+      "Inst all",
+      "Ġ nit",
+      "Ġn it",
+      "Ġni t",
+      "Ġfig ured",
+      "Ġfigure d",
+      "Ġfigur ed",
+      "[ len",
+      "[l en",
+      ". Win",
+      ".W in",
+      ". platform",
+      ".pl atform",
+      "8 53",
+      "85 3",
+      "Ġgam bling",
+      "Ġgamb ling",
+      "( dt",
+      "(d t",
+      "a very",
+      "av ery",
+      "ave ry",
+      "aver y",
+      "ĉ include",
+      "ĉin clude",
+      "Wh ether",
+      "R outing",
+      "Ro uting",
+      "Ġth erap",
+      "Ġthe rap",
+      "Ġther ap",
+      "Rem ote",
+      "Ġ Loss",
+      "ĠL oss",
+      "ĠLo ss",
+      "ĠLos s",
+      "y ll",
+      "yl l",
+      "Ġappro ached",
+      "Ġapproach ed",
+      "Ġ Vehicle",
+      "ĠV ehicle",
+      "Ġ Alpha",
+      "ĠAl pha",
+      "Ġv ocê",
+      "Ġvoc ê",
+      "an swers",
+      "ans wers",
+      "answer s",
+      "NS Dictionary",
+      "9 54",
+      "95 4",
+      "cons ider",
+      "un used",
+      "unu sed",
+      "Ġ Fan",
+      "ĠF an",
+      "ĠFa n",
+      "or able",
+      "ora ble",
+      "f re",
+      "fr e",
+      "8 73",
+      "87 3",
+      "ĠDIS CLAIM",
+      "Ġ Actor",
+      "ĠA ctor",
+      "ĠAct or",
+      "ĠAc tor",
+      ". ]",
+      "to Have",
+      ". userId",
+      ".user Id",
+      "Ġspe eds",
+      "Ġspeed s",
+      "e way",
+      "ew ay",
+      "Ġrec urs",
+      "Ġrecur s",
+      "Ġ г",
+      "ĠÐ ³",
+      "_ priv",
+      "_p riv",
+      "_pr iv",
+      "_pri v",
+      "! âĢĿĊĊ",
+      "!âĢĿ ĊĊ",
+      "Ch oice",
+      "Cho ice",
+      "Ġs ettle",
+      "Ġset tle",
+      "Ġsett le",
+      "Ġ planes",
+      "Ġpl anes",
+      "Ġplan es",
+      "Ġplane s",
+      "Ġpla nes",
+      "' },",
+      "'} ,",
+      "T om",
+      "To m",
+      "I TER",
+      "IT ER",
+      "ITE R",
+      "! \"Ċ",
+      "!\" Ċ",
+      "å »",
+      "ach elor",
+      "ache lor",
+      "achel or",
+      "Ġse paration",
+      "Ġsepar ation",
+      "Ġseparat ion",
+      "Ġ dal",
+      "Ġd al",
+      "Ġda l",
+      "a dj",
+      "ad j",
+      "Ġ registers",
+      "Ġreg isters",
+      "Ġregister s",
+      "Ġregist ers",
+      "r iz",
+      "ri z",
+      "Ġ Notice",
+      "ĠNot ice",
+      "Ġ lu",
+      "Ġl u",
+      "Ġc ourage",
+      "Ġcour age",
+      "Ġcou rage",
+      "Ġ axes",
+      "Ġa xes",
+      "Ġax es",
+      "Ġaxe s",
+      "cell ent",
+      ". async",
+      ".as ync",
+      ".a sync",
+      "0 73",
+      "07 3",
+      "Ġcom patibility",
+      "Ġcompat ibility",
+      "ç «",
+      "Ġ !ĊĊ",
+      "Ġ! ĊĊ",
+      "Ġ!Ċ Ċ",
+      "ĉ title",
+      "ĉt itle",
+      "ĉti tle",
+      "Y LE",
+      "YL E",
+      "ĉ message",
+      "ĉm essage",
+      "U UID",
+      "UU ID",
+      "OL DER",
+      "OLD ER",
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+      "ĠStyle Sheet",
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+      "Ġacces sed",
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+      "79 5",
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+      "73 9",
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+      "ĠRes erve",
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+      "Mo ney",
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+      "87 4",
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+      "91 8",
+      "Ġ separator",
+      "Ġs eparator",
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+      "Ġseparat or",
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+      "ĠM AT",
+      "ĠMA T",
+      "! !ĊĊ",
+      "!! ĊĊ",
+      "!!Ċ Ċ",
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+      "Ġr aid",
+      "Ġra id",
+      "Ġmot ivation",
+      "Ġmotiv ation",
+      "Ġ XP",
+      "ĠX P",
+      "Ġ Background",
+      "ĠBack ground",
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+      "ĠQu aternion",
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+      "ik er",
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+      "ĠOriginal ly",
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+      "ĠHa ns",
+      "ĠHan s",
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+      "Ġ formatter",
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+      "Ġformat ter",
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+      "_RG B",
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+      "Ġ_ (\"",
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+      "_eng ine",
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+      "pac ket",
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+      "Ġ Andy",
+      "ĠAn dy",
+      "ĠAnd y",
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+      "98 2",
+      "P LY",
+      "PL Y",
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+      "95 5",
+      "Ġ mins",
+      "Ġm ins",
+      "Ġmin s",
+      "Ġmi ns",
+      "i mi",
+      "im i",
+      "Ġ brick",
+      "Ġb rick",
+      "Ġbr ick",
+      "Ġbri ck",
+      "Ġ blade",
+      "Ġbl ade",
+      "Ġbla de",
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+      "Sh ift",
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+      "ĉs b",
+      "Ġ Checks",
+      "ĠCheck s",
+      "ĠChe cks",
+      "Ġphenomen on",
+      "Av atar",
+      "Ġmin istry",
+      "Ġmini stry",
+      "Ġminist ry",
+      "r ose",
+      "ro se",
+      "ros e",
+      "ĉ File",
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+      "87 8",
+      "Ġt itled",
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+      "Ġg an",
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+      "() ,čĊ",
+      "(), čĊ",
+      "Ġ bones",
+      "Ġb ones",
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+      "st m",
+      "ÅĽ Äĩ",
+      "Ġ InputStream",
+      "ĠInput Stream",
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+      "ĠSerial izable",
+      "Ġ fighter",
+      "Ġf ighter",
+      "Ġfight er",
+      "Ġ Drag",
+      "ĠD rag",
+      "ĠDr ag",
+      "ĠDra g",
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+      "Tw itter",
+      "Ġsub sid",
+      "Ġsubs id",
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+      "Ġfor ums",
+      "Ġforum s",
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+      "Ġter rain",
+      "Ġterr ain",
+      "Ġterra in",
+      "Ġir re",
+      "Ġirr e",
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+      "ĠI ng",
+      "ĠIn g",
+      "Ġ CN",
+      "ĠC N",
+      "_ objects",
+      "_object s",
+      "_obj ects",
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+      ".ui d",
+      ".u id",
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+      "T INGS",
+      "TING S",
+      "ĠG all",
+      "ĠGal l",
+      "ĠGa ll",
+      "Ġport ray",
+      "0 56",
+      "05 6",
+      "Ġ Developer",
+      "ĠDe veloper",
+      "ĠDevelop er",
+      "Ġ participant",
+      "Ġpart icipant",
+      "Ġparticip ant",
+      "Ġ \";čĊ",
+      "Ġ\" ;čĊ",
+      "Ġ\"; čĊ",
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+      "/m odel",
+      "/mod el",
+      "7 94",
+      "79 4",
+      "Ġ Operations",
+      "ĠOper ations",
+      "ĠOperation s",
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+      "ĠL ater",
+      "ĠLa ter",
+      "ĠLat er",
+      "ĠLate r",
+      "Ġ raises",
+      "Ġr aises",
+      "Ġraise s",
+      "Ġrais es",
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+      "-n one",
+      "-no ne",
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+      "Ġrepl acing",
+      "Ġ sampling",
+      "Ġs ampling",
+      "Ġsam pling",
+      "Ġsamp ling",
+      "ĠJ en",
+      "ĠJe n",
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+      "\"The re",
+      "\"T here",
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+      "REA L",
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+      "AL E",
+      "ìĬ ¤",
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+      "_param eter",
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+      "Ġtr ès",
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+      "Ġar ena",
+      "Ġaren a",
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+      "Ġimpact s",
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+      ":g et",
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+      "Ġfl ights",
+      "Ġflight s",
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+      "cam era",
+      "F n",
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+      "sig ma",
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+      "Ġfor cing",
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+      "Ġ locals",
+      "Ġloc als",
+      "Ġlocal s",
+      "Ġ departure",
+      "Ġdepart ure",
+      "Ġcelebr ation",
+      "Ġ Say",
+      "ĠS ay",
+      "ĠSa y",
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+      "88 4",
+      "ï¼ Ĵ",
+      "ĠH ills",
+      "ĠHill s",
+      "ĠHil ls",
+      ".has OwnProperty",
+      "Ġ typings",
+      "Ġtyp ings",
+      "Ġtyping s",
+      ". API",
+      ".A PI",
+      ".AP I",
+      "Ġd onation",
+      "Ġdo nation",
+      "Ġdon ation",
+      "Operation Exception",
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+      ".Act ivity",
+      "c plusplus",
+      "Ġ Charlie",
+      "ĠChar lie",
+      "ĠCharl ie",
+      "Ġim ported",
+      "Ġimport ed",
+      "Ġimp orted",
+      "Ġd ann",
+      "Ġda nn",
+      "Ġdan n",
+      "Ġocc asions",
+      "Ġoccas ions",
+      "Ġoccasion s",
+      "Ġimplement ing",
+      "Ġ purple",
+      "Ġp urple",
+      "Ġpur ple",
+      ". dialog",
+      ".d ialog",
+      ".di alog",
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+      "er no",
+      "ern o",
+      "Ġw ars",
+      "Ġwar s",
+      "Ġwa rs",
+      "Ġ paste",
+      "Ġp aste",
+      "Ġpast e",
+      "Ġpas te",
+      "Ġpa ste",
+      "Ġdecre ased",
+      "Ġdecrease d",
+      "Ġhar sh",
+      "Ġel abor",
+      "Ġela bor",
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+      "input s",
+      "inp uts",
+      "Ġ Views",
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+      "ĠVie ws",
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+      "Ġerror Message",
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+      "_m ul",
+      "_mu l",
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+      "ĉw rite",
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+      "ĠC op",
+      "ĠCo p",
+      "Ġ Annual",
+      "ĠAnn ual",
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+      "(b utton",
+      "Ġ vida",
+      "Ġv ida",
+      "Ġvi da",
+      "Ġvid a",
+      "b ars",
+      "bar s",
+      "ba rs",
+      "ĠHar vard",
+      "ĉ expect",
+      "ĉex pect",
+      "ĉexp ect",
+      "Ġ indexes",
+      "Ġindex es",
+      "Ġinde xes",
+      "Ġdocument ary",
+      "Ġf lesh",
+      "Ġfl esh",
+      "Ġfle sh",
+      "OR LD",
+      "Ġ Delta",
+      "ĠD elta",
+      "ĠDel ta",
+      "M AND",
+      "MA ND",
+      "MAN D",
+      "B rush",
+      "Br ush",
+      "Bru sh",
+      "- column",
+      "-c olumn",
+      "-col umn",
+      "Ġdevelop ments",
+      "Ġdevelopment s",
+      "9 74",
+      "97 4",
+      "7 83",
+      "78 3",
+      "method Visitor",
+      "s lice",
+      "sl ice",
+      "Ġ PDO",
+      "ĠP DO",
+      "ĠPD O",
+      "Ġinv esting",
+      "Ġinvest ing",
+      "8 67",
+      "86 7",
+      "ir able",
+      "ira ble",
+      "Ġ xmlns",
+      "Ġxml ns",
+      "ï¼ Ľ",
+      "ar ta",
+      "art a",
+      "Ġthe ories",
+      "Ġtheor ies",
+      "Ġtheo ries",
+      "_ city",
+      "_c ity",
+      "_ci ty",
+      "Ġ $__",
+      "Ġ$ __",
+      "Ġ$_ _",
+      "C reating",
+      "Cre ating",
+      "Cr eating",
+      "Creat ing",
+      "( pr",
+      "(p r",
+      "D ropdown",
+      "Drop down",
+      "is match",
+      "ism atch",
+      "Ġ NET",
+      "ĠN ET",
+      "ĠNE T",
+      "9 26",
+      "92 6",
+      "' ])){Ċ",
+      "'] )){Ċ",
+      "']) ){Ċ",
+      "'])) {Ċ",
+      "'])){ Ċ",
+      "Ġ Values",
+      "ĠVal ues",
+      "ĠValue s",
+      "Ġ SEO",
+      "ĠS EO",
+      "ĠSE O",
+      "Ġ STAT",
+      "ĠST AT",
+      "ĠSTA T",
+      "Ġe cosystem",
+      "Ġeco system",
+      "Ġ tempt",
+      "Ġt empt",
+      "Ġtem pt",
+      "Ġtemp t",
+      "Ġ \\\\",
+      "Ġ\\ \\",
+      "Ġ //{Ċ",
+      "Ġ// {Ċ",
+      "Ġ//{ Ċ",
+      "Ġ Christopher",
+      "ĠChrist opher",
+      "ĠChristoph er",
+      "ĠKent ucky",
+      "ĠHttp ServletResponse",
+      "ĠHttpServlet Response",
+      "Ġh ybrid",
+      "Ġhy brid",
+      "y on",
+      "yo n",
+      "Ġ feeding",
+      "Ġfe eding",
+      "Ġfeed ing",
+      "Ġfee ding",
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+      "ĠEx tra",
+      "ĠExt ra",
+      "ĠExtr a",
+      "N orm",
+      "No rm",
+      "Nor m",
+      "IT CH",
+      "Ġ Sean",
+      "ĠS ean",
+      "ĠSe an",
+      "ĠSea n",
+      "Ġ Upload",
+      "ĠUp load",
+      "m un",
+      "mu n",
+      "p ur",
+      "pu r",
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+      "Ġp ersistent",
+      "Ġpers istent",
+      "Ġpersist ent",
+      "ĠI DC",
+      "ĠID C",
+      "Ġ Perform",
+      "ĠPer form",
+      "ĠPerf orm",
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+      "86 3",
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+      ".m erge",
+      "_ room",
+      "_r oom",
+      "_ro om",
+      "Mean while",
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+      "!= '",
+      "Ġ Wel",
+      "ĠW el",
+      "ĠWe l",
+      "Args Constructor",
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+      "88 7",
+      ". Database",
+      ".D atabase",
+      ".Data base",
+      "Ġco unting",
+      "Ġcount ing",
+      "Ġcoun ting",
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+      "() *",
+      "Ķ åĽŀ",
+      "Ġ TOP",
+      "ĠT OP",
+      "ĠTO P",
+      "m ill",
+      "mi ll",
+      "mil l",
+      "Ġ DT",
+      "ĠD T",
+      "IGN ED",
+      "9 56",
+      "95 6",
+      "Ġ KB",
+      "ĠK B",
+      "Ġcom ply",
+      "Ġcomp ly",
+      "Ġcompl y",
+      "S outh",
+      "So uth",
+      "Sou th",
+      "_ collection",
+      "_c ollection",
+      "_col lection",
+      "_coll ection",
+      "_collect ion",
+      "Ch apter",
+      "Cha pter",
+      "Ġexpl aining",
+      "Ġexplain ing",
+      "_ AM",
+      "_A M",
+      "_ ts",
+      "_t s",
+      "c ards",
+      "card s",
+      "car ds",
+      "Ġ quel",
+      "Ġqu el",
+      "Ġque l",
+      "Ġq uel",
+      "Ġ pole",
+      "Ġp ole",
+      "Ġpol e",
+      "Ġpo le",
+      "Ġtouch down",
+      "Ġ Others",
+      "ĠO thers",
+      "ĠOther s",
+      "Ġpe ers",
+      "Ġpeer s",
+      "Ġpee rs",
+      "Ġ TypeError",
+      "ĠType Error",
+      "7 63",
+      "76 3",
+      "Ġsix th",
+      "Ġch eer",
+      "Ġche er",
+      "Ġdis pute",
+      "Ġdisp ute",
+      "Ġdisput e",
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+      "96 3",
+      "8 93",
+      "89 3",
+      "u sc",
+      "us c",
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+      "th umb",
+      "Ġh iding",
+      "Ġhi ding",
+      "Ġhid ing",
+      "Ġ SIG",
+      "ĠS IG",
+      "ĠSI G",
+      "l ikes",
+      "li kes",
+      "like s",
+      "lik es",
+      "Ġ PAGE",
+      "ĠP AGE",
+      "ĠPA GE",
+      ". Reflection",
+      ".Ref lection",
+      "Ġhead quarters",
+      "T ING",
+      "TI NG",
+      "Ġ Ghost",
+      "ĠG host",
+      "ĠGh ost",
+      "M LE",
+      "ML E",
+      "$ Ċ",
+      "Ġcont rary",
+      "Ġcontr ary",
+      "Ġcontra ry",
+      "ext end",
+      "' ]).",
+      "'] ).",
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+      "FFE CT",
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+      "ric ane",
+      "rica ne",
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+      "ĉs ession",
+      "Ġcr ystal",
+      "Ġcry stal",
+      "Ġcryst al",
+      "- Control",
+      "-C ontrol",
+      "overn ment",
+      "o graf",
+      "og raf",
+      "ogr af",
+      "ogra f",
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+      "96 1",
+      "- action",
+      "-a ction",
+      "-ac tion",
+      "v olume",
+      "vol ume",
+      "f ten",
+      "ft en",
+      "fte n",
+      "Ġun con",
+      "Ġunc on",
+      "Ġ animate",
+      "Ġan imate",
+      "Ġanim ate",
+      "Ġani mate",
+      "Ġ lease",
+      "Ġl ease",
+      "Ġle ase",
+      "s cr",
+      "sc r",
+      "Ġre fuse",
+      "Ġref use",
+      "ãĢ ĭ",
+      "f tp",
+      "ft p",
+      "in formation",
+      "inform ation",
+      "Ġeval uated",
+      "Ġevaluate d",
+      "Ġevalu ated",
+      "Ġin jection",
+      "Ġinj ection",
+      "Ġinject ion",
+      "Ġ jack",
+      "Ġj ack",
+      "Ġja ck",
+      "Ġjac k",
+      "Ġwork shop",
+      "Ġworks hop",
+      "æ³ ¨",
+      "P TH",
+      "PT H",
+      "Ġ Ts",
+      "ĠT s",
+      "o ffer",
+      "of fer",
+      "off er",
+      "ĉ os",
+      "ĉo s",
+      "Ġking dom",
+      "M issing",
+      "Miss ing",
+      "Mis sing",
+      "Ġlaw makers",
+      "Ġlawmaker s",
+      "ext Field",
+      "Ġs inging",
+      "Ġsin ging",
+      "Ġsing ing",
+      "a bi",
+      "ab i",
+      "/ client",
+      "/c lient",
+      "/cl ient",
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+      "Ġdeterm ination",
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+      "Ġ'' );Ċ",
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+      "C am",
+      "Ca m",
+      "Ġv ocal",
+      "Ġvo cal",
+      "Ġvoc al",
+      "Ġ sudo",
+      "Ġs udo",
+      "Ġsu do",
+      "Ġsud o",
+      "( EX",
+      "(E X",
+      "Ġt rou",
+      "Ġtr ou",
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+      "A BC",
+      "AB C",
+      ". bean",
+      ".b ean",
+      ".be an",
+      "Ġ Ground",
+      "ĠG round",
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+      "ĠGro und",
+      "Ġ REST",
+      "ĠR EST",
+      "ĠRE ST",
+      "ĠRES T",
+      "we ets",
+      "weet s",
+      "I ng",
+      "In g",
+      "i mon",
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+      "9 46",
+      "94 6",
+      "_ bus",
+      "_b us",
+      "Ġ COLOR",
+      "ĠC OLOR",
+      "ĠCOL OR",
+      "un to",
+      "unt o",
+      "Ġf oss",
+      "Ġfo ss",
+      "Ġfos s",
+      "Ġ Links",
+      "ĠL inks",
+      "ĠLink s",
+      "ĠLin ks",
+      "8 69",
+      "86 9",
+      "ä ng",
+      "än g",
+      "/ forms",
+      "/form s",
+      "pr ises",
+      "prise s",
+      "pri ses",
+      "Ġ achievement",
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+      "Ġachieve ment",
+      "C ALL",
+      "CA LL",
+      "CAL L",
+      "е лÑĮ",
+      "ел ÑĮ",
+      "Ġ Verify",
+      "ĠVer ify",
+      "_ SOURCE",
+      "_S OURCE",
+      "apt cha",
+      "I DD",
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+      "_re ference",
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+      "_refer ence",
+      "G old",
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+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
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+      "_d irection",
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+      "06 8",
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+      "Ġfre ely",
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+      "u nal",
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+      "una l",
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+      "_LA BEL",
+      "Ġ Nich",
+      "ĠN ich",
+      "ĠNic h",
+      "ĠNi ch",
+      "_ win",
+      "_w in",
+      "Ġ Aaron",
+      "ĠA aron",
+      "W P",
+      "; $",
+      "a ims",
+      "ai ms",
+      "aim s",
+      "Ġ ImageView",
+      "ĠImage View",
+      "Ġend less",
+      "Ġendl ess",
+      "E RA",
+      "ER A",
+      "_ DISABLE",
+      "_DIS ABLE",
+      "Ġ cancelled",
+      "Ġcancel led",
+      "Ġcancell ed",
+      "Ġcanc elled",
+      "- us",
+      "-u s",
+      "Ġ inspection",
+      "Ġins pection",
+      "Ġinspect ion",
+      "Ġinsp ection",
+      "e min",
+      "em in",
+      "emi n",
+      "Ġ Grey",
+      "ĠG rey",
+      "ĠGr ey",
+      "ĠGre y",
+      "- open",
+      "-o pen",
+      "-op en",
+      "Ġ iterations",
+      "Ġiter ations",
+      "Ġiteration s",
+      ". owner",
+      ".o wner",
+      "Ġk eras",
+      "Ġke ras",
+      "Ġker as",
+      ". Password",
+      ".P assword",
+      ".Pass word",
+      "ĠR y",
+      "Ġ INS",
+      "ĠI NS",
+      "ĠIN S",
+      "A ir",
+      "Ai r",
+      "Ġ Several",
+      "ĠSe veral",
+      "ĠSever al",
+      "ĠSev eral",
+      ".Tab Stop",
+      "IN GLE",
+      "ING LE",
+      "Ġ Hair",
+      "ĠH air",
+      "ĠHa ir",
+      "ĠHai r",
+      "Ġ Canvas",
+      "ĠC anvas",
+      "ĠCan vas",
+      "A AAA",
+      "AA AA",
+      "AAA A",
+      "Ġf law",
+      "Ġfl aw",
+      "Ġfla w",
+      "c edes",
+      "ce des",
+      "ced es",
+      "cede s",
+      ". Report",
+      ".Re port",
+      "í Ĭ",
+      "Ġ Tips",
+      "ĠT ips",
+      "ĠTi ps",
+      "ĠTip s",
+      "cript ors",
+      "criptor s",
+      ". transaction",
+      ".trans action",
+      ". Spring",
+      ".S pring",
+      ".Sp ring",
+      "Ġ viewer",
+      "Ġview er",
+      "Ġvie wer",
+      "Ġins ights",
+      "Ġinsight s",
+      "è¾ ĵ",
+      "ord ion",
+      "U INT",
+      "UI NT",
+      "se ek",
+      "see k",
+      "Ġ Auf",
+      "ĠA uf",
+      "ĠAu f",
+      "ìŀ IJ",
+      "Ġ strain",
+      "Ġs train",
+      "Ġst rain",
+      "Ġstr ain",
+      "Ġstra in",
+      "To oltip",
+      "Tool tip",
+      "Ġ dz",
+      "Ġd z",
+      "ig nal",
+      "ign al",
+      "a dt",
+      "ad t",
+      "Ġ uc",
+      "Ġu c",
+      "f inite",
+      "fin ite",
+      "fi nite",
+      "Ġ nm",
+      "Ġn m",
+      ". cmd",
+      ".c md",
+      ".cm d",
+      "ĠMy Sql",
+      "[ data",
+      "[d ata",
+      ".j ackson",
+      ". tree",
+      ".t ree",
+      ".tr ee",
+      "Request Param",
+      "_ agent",
+      "_a gent",
+      "_ag ent",
+      "_age nt",
+      "\" )]čĊ",
+      "\") ]čĊ",
+      "\")] čĊ",
+      "Ġas sass",
+      "Ġass ass",
+      "( Constants",
+      "(Constant s",
+      "(Const ants",
+      ": ss",
+      ":s s",
+      "Ġ MAN",
+      "ĠM AN",
+      "ĠMA N",
+      "+- +-",
+      "Ġ Bottom",
+      "ĠB ottom",
+      "ĠBot tom",
+      "ĠBott om",
+      "pr ints",
+      "print s",
+      "pri nts",
+      "Ġ Same",
+      "ĠS ame",
+      "ĠSam e",
+      "ĠSa me",
+      "@ Autowired",
+      "s wap",
+      "sw ap",
+      "i ción",
+      "ic ión",
+      "ici ón",
+      "Ġprot esters",
+      "Ġprote sters",
+      "Ġprotest ers",
+      "Ġprotester s",
+      "Ġh oney",
+      "Ġhon ey",
+      "Ġho ney",
+      "Ġhone y",
+      "Ġ Veter",
+      "ĠV eter",
+      "ĠVe ter",
+      "ĠVet er",
+      "( Calendar",
+      "(C alendar",
+      "- ad",
+      "-a d",
+      "ĠBro oklyn",
+      "ĠBrook lyn",
+      "L ife",
+      "Li fe",
+      "_ VAR",
+      "_V AR",
+      "z ech",
+      "ze ch",
+      "Ġ CALL",
+      "ĠC ALL",
+      "ĠCA LL",
+      "ĠCAL L",
+      "_ CAST",
+      "_C AST",
+      "_CA ST",
+      "ĠE lection",
+      "ĠEl ection",
+      "ĠElect ion",
+      "ĠEle ction",
+      "Ġ thickness",
+      "Ġth ickness",
+      "Ġthick ness",
+      "V ery",
+      "Ver y",
+      "Ve ry",
+      "_ INTEGER",
+      "_IN TEGER",
+      "- dev",
+      "-d ev",
+      "-de v",
+      ") )))",
+      ")) ))",
+      "))) )",
+      "a pat",
+      "ap at",
+      "apa t",
+      "o ooo",
+      "oo oo",
+      "ooo o",
+      "d emo",
+      "de mo",
+      "dem o",
+      "Ġ parseFloat",
+      "Ġparse Float",
+      "Ġ Rather",
+      "ĠR ather",
+      "ĠRa ther",
+      "ĠRat her",
+      "ĠRath er",
+      "ST IT",
+      "m aker",
+      "ma ker",
+      "make r",
+      "mak er",
+      "[ current",
+      "[c urrent",
+      "[cur rent",
+      "[curr ent",
+      "chron o",
+      "chr ono",
+      "Ġ christ",
+      "Ġch rist",
+      "Ġchr ist",
+      "ãģ ª",
+      "Ġ Detail",
+      "ĠD etail",
+      "ĠDe tail",
+      "ĠDet ail",
+      "Æ° á»",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "Ġs ul",
+      "Ġsu l",
+      "id ency",
+      "ide ncy",
+      "iden cy",
+      "Q ue",
+      "Qu e",
+      "Ġe legant",
+      "Ġeleg ant",
+      "a pons",
+      "ap ons",
+      "apon s",
+      "apo ns",
+      "Ġd ishes",
+      "Ġdis hes",
+      "Ġdish es",
+      "Ġint egers",
+      "Ġinteg ers",
+      "Ġinteger s",
+      "Ġinte gers",
+      "( read",
+      "(r ead",
+      "(re ad",
+      "0 57",
+      "05 7",
+      "find ViewById",
+      "Ġ Amount",
+      "ĠA mount",
+      "ĠAm ount",
+      "Ġ Skip",
+      "ĠS kip",
+      "ĠSk ip",
+      "ĠSki p",
+      "Ġhab its",
+      "Ġha bits",
+      "Ġhabit s",
+      "* )(",
+      "*) (",
+      "Ġmon sters",
+      "Ġmonster s",
+      "M AC",
+      "MA C",
+      ": end",
+      ":e nd",
+      "Ġf rank",
+      "Ġfr ank",
+      "Ġfra nk",
+      "Ġfran k",
+      "As sembly",
+      "Ġ dfs",
+      "Ġd fs",
+      "Ġdf s",
+      "Ġn eut",
+      "Ġne ut",
+      "Ġneu t",
+      "_ TYPES",
+      "_T YPES",
+      "_TYPE S",
+      "_TYP ES",
+      "e qual",
+      "eq ual",
+      "equ al",
+      "lo yd",
+      "loy d",
+      "( uri",
+      "(u ri",
+      "(ur i",
+      "Ġ chi",
+      "Ġc hi",
+      "Ġch i",
+      "Ġdef endant",
+      "Ġdefend ant",
+      "Ġconf licts",
+      "Ġconflic ts",
+      "Ġconflict s",
+      "Ġconfl icts",
+      "Ġ vil",
+      "Ġv il",
+      "Ġvi l",
+      "- js",
+      "-j s",
+      "Ġ Peace",
+      "ĠPe ace",
+      "Ġ mutable",
+      "Ġm utable",
+      "Ġmut able",
+      "Ġmu table",
+      ") sender",
+      ")s ender",
+      "Ġ Focus",
+      "ĠF ocus",
+      "ĠFo cus",
+      "å» º",
+      "Ġapprec iated",
+      "Ġappreciate d",
+      "s leep",
+      "Ġ RED",
+      "ĠR ED",
+      "ĠRE D",
+      "C ulture",
+      "Ġdesign ers",
+      "Ġdesigner s",
+      "_ generator",
+      "_g enerator",
+      "_gen erator",
+      "_gener ator",
+      "c odes",
+      "co des",
+      "code s",
+      "cod es",
+      "/ ex",
+      "/e x",
+      ". GetValue",
+      ".Get Value",
+      "um bled",
+      "umb led",
+      "umble d",
+      ".scal ajs",
+      ".scala js",
+      "pe ror",
+      "per or",
+      "Ġveter ans",
+      "Ġveteran s",
+      "Ġ })čĊ",
+      "Ġ} )čĊ",
+      "Ġ}) čĊ",
+      "Ġun fortunately",
+      "Ġunfortunate ly",
+      "_ CREATE",
+      "_C REATE",
+      "_CRE ATE",
+      "_CREAT E",
+      "M ass",
+      "Ma ss",
+      "Mas s",
+      "Ġ CLAIM",
+      "ĠCL AIM",
+      "Ġ Meet",
+      "ĠMe et",
+      "_ support",
+      "_s upport",
+      "_sup port",
+      "_supp ort",
+      "B ank",
+      "Ban k",
+      "Ba nk",
+      "( ).Ċ",
+      "() .Ċ",
+      "(). Ċ",
+      "D ark",
+      "Da rk",
+      "Dar k",
+      "_ LOW",
+      "_L OW",
+      "_LO W",
+      "Ġ Mining",
+      "ĠM ining",
+      "ĠMin ing",
+      "ĠMini ng",
+      "ĠMi ning",
+      "Ġ Owner",
+      "ĠO wner",
+      "ĠOwn er",
+      "ĠOw ner",
+      "i era",
+      "ie ra",
+      "ier a",
+      "Client e",
+      "Cl iente",
+      "Cli ente",
+      "Ġencour aging",
+      "> S",
+      "Ġboy friend",
+      "Ġ Half",
+      "ĠH alf",
+      "ĠHa lf",
+      "ĠHal f",
+      "Ġ ACC",
+      "ĠA CC",
+      "ĠAC C",
+      "A ff",
+      "Af f",
+      "_ ar",
+      "_a r",
+      "- life",
+      "-l ife",
+      "-li fe",
+      "c x",
+      ".J Button",
+      "iz ado",
+      "iza do",
+      ". zero",
+      ".z ero",
+      ".open qa",
+      "o ton",
+      "ot on",
+      "oto n",
+      ". textContent",
+      ".text Content",
+      "Ġt oll",
+      "Ġto ll",
+      "Ġtol l",
+      "a tie",
+      "at ie",
+      "ati e",
+      "Ġball ot",
+      "Ġbal lot",
+      "Ġballo t",
+      "- number",
+      "-n umber",
+      "-num ber",
+      ". Exception",
+      ".Ex ception",
+      "ĉ params",
+      "ĉparam s",
+      "c ircle",
+      "circ le",
+      "cir cle",
+      "- map",
+      "-m ap",
+      "Ġ nap",
+      "Ġn ap",
+      "Ġna p",
+      "Ġ Robot",
+      "ĠR obot",
+      "ĠRob ot",
+      "ĠRo bot",
+      "Ġ Ich",
+      "ĠI ch",
+      "reg istration",
+      "registr ation",
+      "regist ration",
+      "A mazon",
+      "Am azon",
+      "roll ment",
+      "( exp",
+      "(e xp",
+      "(ex p",
+      "Ġt anks",
+      "Ġtank s",
+      "Ġtan ks",
+      "ĠG ordon",
+      "ĠGor don",
+      "ĠGord on",
+      "Ġm achinery",
+      "Ġmachine ry",
+      "Ġmach inery",
+      "Ġ baseline",
+      "Ġb aseline",
+      "Ġbase line",
+      "Ġbas eline",
+      "æ ĭ",
+      "0 86",
+      "08 6",
+      "Ø ©",
+      "Ġ Convention",
+      "ĠCon vention",
+      "ĠConv ention",
+      "ĉ config",
+      "ĉcon fig",
+      "ĉconf ig",
+      "o okies",
+      "ook ies",
+      "ookie s",
+      "m ult",
+      "mu lt",
+      "mul t",
+      "Rec ords",
+      "Record s",
+      "Ġ EST",
+      "ĠE ST",
+      "ĠES T",
+      "Ġgar bage",
+      "Ġcon form",
+      "Ġconf orm",
+      "i dal",
+      "id al",
+      "ida l",
+      "Ġb arg",
+      "Ġbar g",
+      "Ġba rg",
+      "Ġsurv ived",
+      "Ġsurvive d",
+      "Ġsurviv ed",
+      "Ġinvestig ations",
+      "Ġinvestigation s",
+      "9 35",
+      "93 5",
+      ".contains Key",
+      "---- ----------------------------------------------------------------------Ċ",
+      "---------------------------------------------------------------- ----------Ċ",
+      "---------------------------------------------------------------------- ----Ċ",
+      "or tion",
+      "ort ion",
+      "Ġh orr",
+      "Ġhor r",
+      "Ġho rr",
+      "_ http",
+      "_h ttp",
+      "_ht tp",
+      "Ġ mant",
+      "Ġm ant",
+      "Ġman t",
+      "Ġma nt",
+      "] ;čĊčĊ",
+      "]; čĊčĊ",
+      "];čĊ čĊ",
+      "b inary",
+      "bin ary",
+      "9 48",
+      "94 8",
+      "e mpl",
+      "em pl",
+      "emp l",
+      "Ġin quiry",
+      "Ġ Meanwhile",
+      "ĠMean while",
+      "0 98",
+      "09 8",
+      "Ġcollect ing",
+      ".Entity Framework",
+      "\" ,ĊĊ",
+      "\", ĊĊ",
+      "\",Ċ Ċ",
+      "Ġ Pic",
+      "ĠP ic",
+      "ĠPi c",
+      "@ Inject",
+      "ick ness",
+      "Ġ Binding",
+      "ĠB inding",
+      "ĠBind ing",
+      "ĠBin ding",
+      "Ġcont rolling",
+      "Ġcontrol ling",
+      "re verse",
+      "rev erse",
+      "Ġch airs",
+      "Ġchair s",
+      "Ġcha irs",
+      "Ġchai rs",
+      "semb led",
+      "sem bled",
+      "semble d",
+      "sembl ed",
+      "( add",
+      "(a dd",
+      "(ad d",
+      "Dis abled",
+      "Disable d",
+      "a nas",
+      "an as",
+      "ana s",
+      ". translate",
+      ".trans late",
+      "- ----------Ċ",
+      "-- ---------Ċ",
+      "---- -------Ċ",
+      "-------- ---Ċ",
+      "--- --------Ċ",
+      "----- ------Ċ",
+      "---------- -Ċ",
+      "------ -----Ċ",
+      "----------- Ċ",
+      "------- ----Ċ",
+      "--------- --Ċ",
+      "Ġref lected",
+      "Ġreflect ed",
+      "Ġrefl ected",
+      "\" ]ĊĊ",
+      "\"] ĊĊ",
+      "\"]Ċ Ċ",
+      "Ex ternal",
+      "Ext ernal",
+      "Extern al",
+      "Ar row",
+      "Arr ow",
+      "S ingleton",
+      "Single ton",
+      "Sing leton",
+      "% x",
+      "Ġ Å",
+      "Ġan cest",
+      "Ġance st",
+      "Ġanc est",
+      "ĠOr leans",
+      "ĉ cmd",
+      "ĉc md",
+      "ĉcm d",
+      "Ġpro hibited",
+      "Ġprohib ited",
+      "Ġprohibit ed",
+      "ith metic",
+      "( channel",
+      "(ch annel",
+      "(chan nel",
+      "_ css",
+      "_c ss",
+      "_cs s",
+      "For ward",
+      ". socket",
+      ".s ocket",
+      ".so cket",
+      ".sock et",
+      "Ġl uc",
+      "Ġlu c",
+      "â Ĩ",
+      "Ġ Firefox",
+      "ĠFire fox",
+      "Ġ Movies",
+      "ĠM ovies",
+      "ĠMovie s",
+      "ĠMov ies",
+      ") _",
+      ". ends",
+      ".e nds",
+      ".end s",
+      ".en ds",
+      "( shape",
+      "(s hape",
+      "(sh ape",
+      "Ġde alt",
+      "Ġdeal t",
+      "Ġs aves",
+      "Ġsa ves",
+      "Ġsave s",
+      "Ġsav es",
+      "Ġgl ory",
+      "Ġglo ry",
+      "Ġglor y",
+      "Ġmej or",
+      "Ġbre athing",
+      "Ġbreath ing",
+      "Ġ eller",
+      "Ġe ller",
+      "Ġel ler",
+      "Ġell er",
+      "Ġelle r",
+      "get Data",
+      "Ġ angles",
+      "Ġan gles",
+      "Ġang les",
+      "Ġangle s",
+      "Ġangl es",
+      "Ġ toolbar",
+      "Ġtool bar",
+      "Ġ spacing",
+      "Ġsp acing",
+      "Ġspa cing",
+      "Ġspac ing",
+      "0 59",
+      "05 9",
+      "I PS",
+      "IP S",
+      "Ġfloor s",
+      "Ġflo ors",
+      "_ ACTIVE",
+      "_ACT IVE",
+      "_ACTIV E",
+      "Ġ shuffle",
+      "Ġsh uffle",
+      "/ shared",
+      "/sh ared",
+      "/share d",
+      "Ġ Ele",
+      "ĠE le",
+      "ĠEl e",
+      "e dish",
+      "ed ish",
+      "edi sh",
+      "edis h",
+      "Ġweb cam",
+      ". expect",
+      ".ex pect",
+      ".exp ect",
+      "i loc",
+      "il oc",
+      "ilo c",
+      "Ġ Includes",
+      "ĠIn cludes",
+      "ĠInclude s",
+      "Ġt weeted",
+      "Ġtweet ed",
+      "Ġtwe eted",
+      "Ġtwee ted",
+      "Ġ :)",
+      "Ġ: )",
+      "Ġ Essay",
+      "ĠEs say",
+      "ĠEss ay",
+      "F ix",
+      "Fi x",
+      "- between",
+      "-b etween",
+      "_ web",
+      "_w eb",
+      "_we b",
+      ". conv",
+      ".con v",
+      ".co nv",
+      "Ġrac ism",
+      "Ġreflect s",
+      "Ġrefl ects",
+      "u mm",
+      "um m",
+      "и ÑĤе",
+      "иÑĤ е",
+      "_ footer",
+      "_f ooter",
+      "_foot er",
+      "/ docs",
+      "/d ocs",
+      "/doc s",
+      "/do cs",
+      "Ġ Pour",
+      "ĠP our",
+      "ĠPo ur",
+      "ĠPou r",
+      "Ng Module",
+      ". initialize",
+      ".initial ize",
+      "pattern s",
+      "_ In",
+      "_I n",
+      "Ġ Abb",
+      "ĠA bb",
+      "ĠAb b",
+      "* čĊ",
+      "Ġsent iment",
+      "b uff",
+      "buf f",
+      "bu ff",
+      "_ counts",
+      "_count s",
+      "_co unts",
+      "_cou nts",
+      "Ġ reuse",
+      "Ġre use",
+      "ch unk",
+      "chu nk",
+      "Ġim posed",
+      "Ġimp osed",
+      "Ġimpose d",
+      "Primary Key",
+      "Fore ground",
+      "Ġcons umed",
+      "Ġconsum ed",
+      "Ġconsume d",
+      "? !",
+      "Ġd ick",
+      "Ġdi ck",
+      "Ġdic k",
+      "Ġ chron",
+      "Ġch ron",
+      "Ġchr on",
+      "ĠF ern",
+      "ĠFe rn",
+      "ĠFer n",
+      "Ġ responsive",
+      "Ġres ponsive",
+      "Ġrespons ive",
+      "9 58",
+      "95 8",
+      "Ġin sect",
+      "Ġins ect",
+      "Ġinse ct",
+      "ic ulty",
+      "icult y",
+      "Ġ rw",
+      "Ġr w",
+      "Ġa like",
+      "Ġal ike",
+      "Ġali ke",
+      "Ġ subset",
+      "Ġsub set",
+      "Ġsubs et",
+      "Ġ Cookies",
+      "ĠC ookies",
+      "ĠCo okies",
+      "ĠCook ies",
+      "ĠCookie s",
+      "Ġ Pair",
+      "ĠP air",
+      "ĠPa ir",
+      "ĠPai r",
+      "Ġ tier",
+      "Ġt ier",
+      "Ġti er",
+      "Ġtie r",
+      "I FO",
+      "IF O",
+      "av our",
+      "avo ur",
+      "avou r",
+      "Ġ QU",
+      "ĠQ U",
+      ", sizeof",
+      ",size of",
+      "Ġ merged",
+      "Ġm erged",
+      "Ġmer ged",
+      "Ġmerge d",
+      "Ġmerg ed",
+      "m v",
+      "i tol",
+      "it ol",
+      "ito l",
+      "y lon",
+      "yl on",
+      "Ġj umped",
+      "Ġjump ed",
+      ". role",
+      ".r ole",
+      ".ro le",
+      "ens aje",
+      "ensa je",
+      "R ules",
+      "Rule s",
+      "Ru les",
+      "Ġ browse",
+      "Ġb rowse",
+      "Ġbrows e",
+      "Ġbrow se",
+      "An imator",
+      "Anim ator",
+      "Ġy oga",
+      "Ġyo ga",
+      "Ġyog a",
+      "Ġ variants",
+      "Ġvar iants",
+      "Ġvari ants",
+      "Ġvariant s",
+      "Ġcour tesy",
+      "Ġcourt esy",
+      "Ġcourte sy",
+      "u ran",
+      "ur an",
+      "ura n",
+      "p bs",
+      "pb s",
+      "else if",
+      "A lt",
+      "Al t",
+      "Ġ Lane",
+      "ĠL ane",
+      "ĠLa ne",
+      "ĠLan e",
+      "C LK",
+      "CL K",
+      "I MARY",
+      "IM ARY",
+      "IMA RY",
+      "_ PROPERTY",
+      "_P ROPERTY",
+      "_PRO PERTY",
+      "ï¼ IJ",
+      "Ġ chan",
+      "Ġc han",
+      "Ġch an",
+      "Ġcha n",
+      "Ġgrad ually",
+      "Ġgradu ally",
+      "Ġgradual ly",
+      "Ġ shake",
+      "Ġsh ake",
+      "Ġsha ke",
+      "Ġbl onde",
+      "Ġblo nde",
+      "Ġblond e",
+      ".. .\");Ċ",
+      "... \");Ċ",
+      "...\" );Ċ",
+      "- sex",
+      "-s ex",
+      "-se x",
+      "Ġgame play",
+      "a cies",
+      "ac ies",
+      "aci es",
+      "acie s",
+      ". refresh",
+      ".re fresh",
+      ".ref resh",
+      "U SB",
+      "US B",
+      "Ġ Plot",
+      "ĠP lot",
+      "ĠPl ot",
+      "W as",
+      "Wa s",
+      "iss ippi",
+      "Ġ Tensor",
+      "ĠT ensor",
+      "Ġcrypt ocurrency",
+      "Ġcrypto currency",
+      "Ġcryptoc urrency",
+      "Ġdifficult ies",
+      "De leted",
+      "Delete d",
+      "Del eted",
+      "With out",
+      "_ append",
+      "_app end",
+      "_ap pend",
+      "_ ver",
+      "_v er",
+      "_ve r",
+      "9 67",
+      "96 7",
+      "\" ))čĊ",
+      "\") )čĊ",
+      "\")) čĊ",
+      "Ġh onestly",
+      "Ġhonest ly",
+      "Ġ pivot",
+      "Ġp ivot",
+      "Ġpiv ot",
+      "Ġ temps",
+      "Ġte mps",
+      "Ġtem ps",
+      "Ġtemp s",
+      "_ ps",
+      "_p s",
+      "Ġ Unlike",
+      "ĠUn like",
+      "[ :-",
+      "[: -",
+      "V S",
+      "_ inf",
+      "_in f",
+      "_i nf",
+      "Ġjun ior",
+      "Ġjuni or",
+      "Ġ animations",
+      "Ġan imations",
+      "Ġanim ations",
+      "Ġanimation s",
+      "Ġ filepath",
+      "Ġfile path",
+      "? </",
+      "?< /",
+      "[ \\",
+      "Ġoper ates",
+      "Ġoperate s",
+      "Ġopera tes",
+      "_ red",
+      "_re d",
+      "_r ed",
+      "Ġ Bootstrap",
+      "ĠBoot strap",
+      "ĠBoots trap",
+      "l ead",
+      "le ad",
+      "lea d",
+      "e ffect",
+      "ef fect",
+      "eff ect",
+      "Â ½",
+      "Ġ Ster",
+      "ĠS ter",
+      "ĠSt er",
+      "ĠSte r",
+      "ĠB uck",
+      "ĠBu ck",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "Ġde puty",
+      "Ġdep uty",
+      "T han",
+      "Th an",
+      "Ạ¿",
+      "ON ENT",
+      "ONE NT",
+      "Ġ Heat",
+      "ĠH eat",
+      "ĠHe at",
+      "e theless",
+      "eth eless",
+      "ethe less",
+      "] ){Ċ",
+      "]) {Ċ",
+      "]){ Ċ",
+      "Ġkosten los",
+      "( );//",
+      "() ;//",
+      "(); //",
+      "Ġdeploy ed",
+      "> {{$",
+      ">{ {$",
+      ">{{ $",
+      "Ġ unicode",
+      "Ġun icode",
+      "Ġuni code",
+      "Ġunic ode",
+      "p laces",
+      "pl aces",
+      "place s",
+      "pla ces",
+      "Ġ Coffee",
+      "ĠC offee",
+      "ĠCo ffee",
+      "ĠCoff ee",
+      ". SE",
+      ".S E",
+      "Ġ PAR",
+      "ĠP AR",
+      "ĠPA R",
+      "( txt",
+      "(t xt",
+      "(tx t",
+      "g ebra",
+      "ge bra",
+      "geb ra",
+      "Ġ fires",
+      "Ġf ires",
+      "Ġfire s",
+      "Ġfi res",
+      "Ġfir es",
+      "Main Window",
+      "m edium",
+      "med ium",
+      "medi um",
+      "Ġ( âĢľ",
+      "Ġ lg",
+      "Ġl g",
+      "Ġ cmp",
+      "Ġc mp",
+      "Ġcm p",
+      "/ base",
+      "/b ase",
+      "_ layers",
+      "_l ayers",
+      "_layer s",
+      "_la yers",
+      "_ entries",
+      "_en tries",
+      "_ent ries",
+      "Ġadmin ister",
+      "ĠS UCH",
+      "ĠSU CH",
+      "B P",
+      "ĠScott ish",
+      "ĉ čĊĉčĊ",
+      "ĉčĊ ĉčĊ",
+      "g uard",
+      "gu ard",
+      "gua rd",
+      "Ġ Strong",
+      "ĠSt rong",
+      "ĠStr ong",
+      "In sn",
+      "Ins n",
+      "Ġ CAP",
+      "ĠC AP",
+      "ĠCA P",
+      "as ury",
+      "asu ry",
+      "Ġ SEE",
+      "ĠS EE",
+      "ĠSE E",
+      "C lock",
+      "Cl ock",
+      "Clo ck",
+      "e rie",
+      "er ie",
+      "eri e",
+      "\\ models",
+      "\\model s",
+      "Ġ $$",
+      "Ġ$ $",
+      "Ġ Cab",
+      "ĠC ab",
+      "ĠCa b",
+      "Ġwur de",
+      "Ġsold ier",
+      "Ġcl ips",
+      "Ġclip s",
+      "Ġcli ps",
+      "Ġarr angement",
+      "Ġarrang ement",
+      "Ġarrange ment",
+      "Ġ Wonder",
+      "ĠW onder",
+      "ĠWo nder",
+      "ĠWon der",
+      "ĠH orn",
+      "ĠHor n",
+      "ĠHo rn",
+      "Ġsc ared",
+      "Ġsca red",
+      "Ġscar ed",
+      "Ġscare d",
+      "Ġc ure",
+      "Ġcur e",
+      "Ġcu re",
+      "m kdir",
+      "mk dir",
+      "Ġ aligned",
+      "Ġal igned",
+      "Ġalign ed",
+      "Ġ Pink",
+      "ĠP ink",
+      "ĠPin k",
+      "ĠPi nk",
+      "Ġl anded",
+      "Ġland ed",
+      "Ġlan ded",
+      "D imension",
+      "Dim ension",
+      "Scroll Pane",
+      ". chat",
+      ".c hat",
+      ".ch at",
+      ". With",
+      ".W ith",
+      "Ġ Train",
+      "ĠT rain",
+      "ĠTr ain",
+      "ĠTra in",
+      "] .Ċ",
+      "]. Ċ",
+      "Ġth irty",
+      "Ġd urable",
+      "Ġdur able",
+      "Ġ ld",
+      "Ġl d",
+      "Ġlate init",
+      "Ġ charts",
+      "Ġch arts",
+      "Ġchar ts",
+      "Ġchart s",
+      "Ġcha rts",
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+      "//////// ////////////////////////////////////////////////////////////////////////",
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+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
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+      "ĠSimpl y",
+      "first name",
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+      "J uly",
+      "Jul y",
+      "Ju ly",
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+      "Ġmort ality",
+      "Ġmortal ity",
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+      "H elpers",
+      "Helper s",
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+      "Ġ benchmark",
+      "Ġb enchmark",
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+      "Ġ TextField",
+      "ĠT extField",
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+      "Ġciv ilians",
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+      "get User",
+      "_ cluster",
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+      "fore ign",
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+      "Foreign Key",
+      "Ġreason ably",
+      "- --------Ċ",
+      "-- -------Ċ",
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+      "Ġ roller",
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+      "Ġmo ld",
+      "Ġmol d",
+      "ĠF er",
+      "ĠFe r",
+      "[ start",
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+      "Ġstatist ical",
+      "Ġstatistic al",
+      "Ġsc ary",
+      "Ġsca ry",
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+      "_ HOME",
+      "_H OME",
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+      ".Ch ild",
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+      "ĠR oger",
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+      "H ouse",
+      "Ho use",
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+      "Ġw iki",
+      "Ġwi ki",
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+      "ĠO pp",
+      "ĠOp p",
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+      "ĠCro wn",
+      "ĠCrow n",
+      "Ġ ****************************************************************************",
+      "Ġ************************************************************************ ****",
+      "Ġ************************************************************************** **",
+      "Ġ**************************************************************** ************",
+      "Ġ**** ************************************************************************",
+      "Ġ******************************************************** ********************",
+      "Ġ************************************************ ****************************",
+      "- product",
+      "-pro duct",
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+      "-------- Ċ",
+      "--- -----Ċ",
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+      "ĉĉ ĠĠĠĠĠĠ",
+      "ĉĉĠĠĠ ĠĠĠ",
+      "ĉĉĠ ĠĠĠĠĠ",
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+      "ĉĉĠĠĠĠ ĠĠ",
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+      "Ġg p",
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+      "Ġ robots",
+      "Ġro bots",
+      "Ġrob ots",
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+      "ĠJ erry",
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+      "Ġ} ))Ċ",
+      "Ġ}) )Ċ",
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+      "Ġu ndo",
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+      "ĠSt ewart",
+      "ĠSte wart",
+      "Ġ lasting",
+      "Ġl asting",
+      "Ġlast ing",
+      "Ġlas ting",
+      ". Pre",
+      ".P re",
+      ".Pr e",
+      ".amazon aws",
+      "Ġ Luck",
+      "ĠL uck",
+      "ĠLuc k",
+      "ĠLu ck",
+      ". Description",
+      ".D escription",
+      ".De scription",
+      ".Des cription",
+      "Ġ Naz",
+      "ĠN az",
+      "ĠNa z",
+      "n eg",
+      "ne g",
+      "Ġc ó",
+      "<< \"\\",
+      "<<\" \\",
+      "Ġ Surv",
+      "ĠS urv",
+      "ĠSur v",
+      "ĠSu rv",
+      "Ġ Unc",
+      "ĠU nc",
+      "ĠUn c",
+      "Rec ipe",
+      ". BorderStyle",
+      ".Border Style",
+      "Ġmod ifications",
+      "Ġmodification s",
+      "Ġmodific ations",
+      "- at",
+      "-a t",
+      "AT FORM",
+      "h dr",
+      "hd r",
+      "a ko",
+      "ak o",
+      "Ġsub license",
+      "Ġsublic ense",
+      "Ġ Jump",
+      "ĠJ ump",
+      "ĠJu mp",
+      "Ġbe im",
+      "Ġbei m",
+      "ĠMan hattan",
+      ". bool",
+      ".b ool",
+      ".bo ol",
+      "_ hw",
+      "_h w",
+      "ÑĤ ÑĮ",
+      "B in",
+      "Bi n",
+      "Ġ gateway",
+      "Ġg ateway",
+      "Ġgate way",
+      "\" \":",
+      "\"\" :",
+      "Ġ UIS",
+      "ĠU IS",
+      "ĠUI S",
+      ": \"+",
+      ":\" +",
+      "- def",
+      "-d ef",
+      "-de f",
+      "Ġ Regular",
+      "ĠReg ular",
+      "/ testing",
+      "/t esting",
+      "/test ing",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "string stream",
+      "Ġdis par",
+      "Ġdi spar",
+      "Ġdisp ar",
+      "Ġm obil",
+      "Ġmo bil",
+      "Ġmob il",
+      "- read",
+      "-r ead",
+      "-re ad",
+      "Ġ Adapter",
+      "ĠAd apter",
+      "ĠAda pter",
+      "ĠAdapt er",
+      "ĠCh ampions",
+      "ĠChampion s",
+      "ĠChamp ions",
+      "Ġ scheduler",
+      "Ġs cheduler",
+      "Ġsched uler",
+      "Ġschedule r",
+      "Ġ kills",
+      "Ġk ills",
+      "Ġkill s",
+      "Ġkil ls",
+      "Ġ Multiple",
+      "ĠM ultiple",
+      "ĠMulti ple",
+      "ĠMult iple",
+      "ĠMultip le",
+      "i rror",
+      "ir ror",
+      "Ġg ods",
+      "Ġgo ds",
+      "Ġgod s",
+      "A DO",
+      "AD O",
+      "a kte",
+      "ak te",
+      "akt e",
+      "Ġ Usuario",
+      "ĠUs uario",
+      ".c ircular",
+      "Ġre cept",
+      "Ġrec ept",
+      "Ġrece pt",
+      "Ġrecep t",
+      "Ġ Expr",
+      "ĠEx pr",
+      "ĠExp r",
+      "Ġelder ly",
+      "Ġnice ly",
+      "Ġnic ely",
+      "Ġb este",
+      "Ġbe ste",
+      "Ġbest e",
+      "Ġbes te",
+      "W ant",
+      "Wa nt",
+      "Ġclass ical",
+      "Ġclassic al",
+      ". sprite",
+      ".s prite",
+      ".sp rite",
+      "ob jc",
+      "obj c",
+      "ĠM ason",
+      "ĠMa son",
+      "ĠMas on",
+      "Ġs istema",
+      "Ġsist ema",
+      "Ġsistem a",
+      ". Black",
+      ".B lack",
+      ".Bl ack",
+      "e so",
+      "es o",
+      "ĠZe it",
+      "Ġ divid",
+      "Ġd ivid",
+      "Ġdi vid",
+      "Ġdiv id",
+      "Ġen ters",
+      "Ġent ers",
+      "Ġenter s",
+      "_ subject",
+      "_sub ject",
+      "_su bject",
+      "Ġ Planet",
+      "ĠPlan et",
+      "ĠPlane t",
+      "ĠPla net",
+      ". warning",
+      ".w arning",
+      ".warn ing",
+      "Ġ Gram",
+      "ĠG ram",
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+      ",Ċ ĊĊĊ",
+      ",ĊĊ ĊĊ",
+      ",ĊĊĊ Ċ",
+      "_t ac",
+      "_ta c",
+      "Ġex ped",
+      "Ġexp ed",
+      "G irl",
+      "Gi rl",
+      "h orizontal",
+      "hor izontal",
+      "Ġ\" ../../../",
+      "Ġ\"../ ../../",
+      "Ġ\"../../ ../",
+      "( option",
+      "(o ption",
+      "(op tion",
+      "(opt ion",
+      "Ġwe iter",
+      "Ġwei ter",
+      "Ġweit er",
+      "ĉ sql",
+      "ĉs ql",
+      "Ġ =>{Ċ",
+      "Ġ= >{Ċ",
+      "Ġ=> {Ċ",
+      "Ġgar lic",
+      "Ġ repr",
+      "Ġre pr",
+      "Ġrep r",
+      "Ġre plies",
+      "Ġrep lies",
+      "Ġrepl ies",
+      "( prop",
+      "(p rop",
+      "(pro p",
+      "(pr op",
+      "Ġspirit s",
+      "Ġspir its",
+      "Ġins pire",
+      "Ġinspir e",
+      "Ġinsp ire",
+      "Ġbase ment",
+      "Ġbas ement",
+      ". reject",
+      ".re ject",
+      "Ġ hints",
+      "Ġh ints",
+      "Ġhint s",
+      "Ġhi nts",
+      "Ġhin ts",
+      "Ġpol ling",
+      "Ġpoll ing",
+      "ĉ ĠĊ",
+      "ĉĠ Ċ",
+      "_ rating",
+      "_r ating",
+      "_ra ting",
+      "_rat ing",
+      "Ġc ath",
+      "Ġca th",
+      "Ġcat h",
+      "a vier",
+      "av ier",
+      "avi er",
+      "Ġ compressed",
+      "Ġcom pressed",
+      "Ġcomp ressed",
+      "Ġcompr essed",
+      "Ġcompress ed",
+      "Ġ VS",
+      "ĠV S",
+      "] '",
+      "Ġjud icial",
+      "ĠT rend",
+      "ĠTr end",
+      "ĠTre nd",
+      "tr aining",
+      "tra ining",
+      "train ing",
+      "EST AMP",
+      "ogn ition",
+      "Ä ģ",
+      "S ENT",
+      "SE NT",
+      "SEN T",
+      "v entions",
+      "vent ions",
+      "vention s",
+      "Ġconsult ant",
+      "Ġconsulta nt",
+      "Ġconsul tant",
+      "u mph",
+      "um ph",
+      "ump h",
+      "Ġ userService",
+      "Ġuser Service",
+      ", NULL",
+      ",N ULL",
+      "k h",
+      "D ear",
+      "De ar",
+      "_ BAD",
+      "_B AD",
+      "it ations",
+      "itation s",
+      "itat ions",
+      "Ġmet aph",
+      "Ġmeta ph",
+      "' é",
+      "and ise",
+      "andi se",
+      "- font",
+      "-f ont",
+      ". chart",
+      ".c hart",
+      ".ch art",
+      ".char t",
+      "Ġ sg",
+      "Ġs g",
+      "_ Controller",
+      "_Control ler",
+      ". jpeg",
+      ".j peg",
+      ".jp eg",
+      "Ġ ULONG",
+      "ĠU LONG",
+      "ĠUL ONG",
+      "ĉ game",
+      "ĉg ame",
+      "( ss",
+      "(s s",
+      "ĠM aj",
+      "ĠMa j",
+      "ĉ go",
+      "ĉg o",
+      "Ġ Sad",
+      "ĠS ad",
+      "ĠSa d",
+      "ĠB erg",
+      "ĠBe rg",
+      "ĠBer g",
+      "Ġ Mine",
+      "ĠM ine",
+      "ĠMin e",
+      "ĠMi ne",
+      "P ack",
+      "Pa ck",
+      "Ġres istant",
+      "Ġresist ant",
+      "Ġ ROM",
+      "ĠR OM",
+      "ĠRO M",
+      "Ġ peg",
+      "Ġp eg",
+      "Ġpe g",
+      "ĠSt anford",
+      "ĠStan ford",
+      "Ġ Yahoo",
+      "ĠY ahoo",
+      "ĠYa hoo",
+      "ĠYah oo",
+      "Ġ scaled",
+      "Ġs caled",
+      "Ġsc aled",
+      "Ġscale d",
+      "Ġsca led",
+      "Ġscal ed",
+      "Ġ lan",
+      "Ġl an",
+      "Ġla n",
+      "= []",
+      "=[ ]",
+      "\" /></",
+      "\"/ ></",
+      "\"/> </",
+      "\"/>< /",
+      "Ġ plots",
+      "Ġp lots",
+      "Ġpl ots",
+      "Ġplot s",
+      "Ġplo ts",
+      ". *Ċ",
+      ".* Ċ",
+      "Ġtr aveled",
+      "Ġtravel ed",
+      "Ġtra veled",
+      "Ġtrav eled",
+      "ĠO scar",
+      "ĠOs car",
+      "ĠOsc ar",
+      "V L",
+      "Ġl inking",
+      "Ġlink ing",
+      "Ġlin king",
+      "Ġt ires",
+      "Ġti res",
+      "Ġtire s",
+      "Ġtir es",
+      "Ġ' *'",
+      "Ġ'* '",
+      "ĠBuffer ed",
+      "ĠBuff ered",
+      "e ri",
+      "er i",
+      "Ġ ****",
+      "Ġ* ***",
+      "Ġ** **",
+      "Ġ*** *",
+      "Ġover look",
+      "Ġoverl ook",
+      ". Non",
+      ".N on",
+      ".No n",
+      "Ġr és",
+      "Ġré s",
+      "Ġe gy",
+      "Ġeg y",
+      "å° ı",
+      "Ġatt acker",
+      "Ġattack er",
+      "ĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉ",
+      ". sync",
+      ".s ync",
+      ".syn c",
+      ".sy nc",
+      "AS CADE",
+      "ASC ADE",
+      "G round",
+      "Gr ound",
+      "Gro und",
+      "Ġ decay",
+      "Ġdec ay",
+      "Ġ Ton",
+      "ĠT on",
+      "ĠTo n",
+      "Ġjew elry",
+      "Ġjewel ry",
+      "Ġb ypass",
+      "Ġby pass",
+      "Ġm embr",
+      "Ġmem br",
+      "Ġmemb r",
+      "R NA",
+      "RN A",
+      "< System",
+      "<S ystem",
+      "ĠMed icare",
+      "ĠMedic are",
+      "ĠMedi care",
+      "( net",
+      "(n et",
+      "(ne t",
+      "o si",
+      "os i",
+      "H B",
+      "D EC",
+      "DE C",
+      "{ EIF",
+      "_ fill",
+      "_f ill",
+      "_fil l",
+      "Ġtravel ling",
+      "Ġtrav elling",
+      "ob server",
+      "obs erver",
+      "observ er",
+      "observe r",
+      "Ġconsult ing",
+      "Ġconsul ting",
+      "RE AT",
+      "REA T",
+      "Ph ase",
+      "( ii",
+      "(i i",
+      "Ġ SUM",
+      "ĠS UM",
+      "ĠSU M",
+      "> ččĊ",
+      "Ġs ud",
+      "Ġsu d",
+      "ĉ background",
+      "ĉback ground",
+      "Ġsch olars",
+      "Ġscholar s",
+      "-m uted",
+      "a rá",
+      "ar á",
+      "Ġ =====",
+      "Ġ= ====",
+      "Ġ== ===",
+      "Ġ=== ==",
+      "Ġ==== =",
+      "Ġ ____",
+      "Ġ_ ___",
+      "Ġ__ __",
+      "Ġ___ _",
+      "C reat",
+      "Cre at",
+      "Cr eat",
+      "e never",
+      "en ever",
+      "ene ver",
+      "/ wp",
+      "/w p",
+      "Ġ VPN",
+      "ĠV PN",
+      "ĠVP N",
+      "Error Code",
+      ") ],Ċ",
+      ")] ,Ċ",
+      ")], Ċ",
+      "( builder",
+      "(b uilder",
+      "(build er",
+      "Ġ Enemy",
+      "ĠEn emy",
+      "S ensor",
+      "u sa",
+      "us a",
+      "Ġtr iggers",
+      "Ġtrigger s",
+      "Ġtrig gers",
+      "Ġplay offs",
+      "Ġplayoff s",
+      "_ REQ",
+      "_RE Q",
+      "_R EQ",
+      "Ġ (~",
+      "Ġ( ~",
+      "ĠB arry",
+      "ĠBar ry",
+      "ĠBarr y",
+      "Ġperman ently",
+      "Ġpermanent ly",
+      "Ġ RUN",
+      "ĠR UN",
+      "ĠRU N",
+      "Ġb ure",
+      "Ġbu re",
+      "Ġbur e",
+      ".Fatal f",
+      ".Fat alf",
+      "Ġch ick",
+      "Ġchi ck",
+      "Ġchic k",
+      "ĉ panic",
+      "ĉp anic",
+      "p si",
+      "ps i",
+      "o ka",
+      "ok a",
+      "éĢ ī",
+      "> [",
+      "Ġunder stands",
+      "Ġunderstand s",
+      "Ġunderst ands",
+      "Ġ Junior",
+      "ĠJun ior",
+      "ĠJuni or",
+      "Ġ INFO",
+      "ĠIN FO",
+      "ĠINF O",
+      "= mysqli",
+      "=m ysqli",
+      "=mysql i",
+      "us tain",
+      "ust ain",
+      "usta in",
+      "- source",
+      "-s ource",
+      "s erv",
+      "se rv",
+      "ser v",
+      "Ġ CREATE",
+      "ĠC REATE",
+      "ĠCRE ATE",
+      ". au",
+      ".a u",
+      "Ġs ells",
+      "Ġsell s",
+      "Ġsel ls",
+      "Ġ ĠĊĠĠĊ",
+      "ĠĠ ĊĠĠĊ",
+      "ĠĠĊ ĠĠĊ",
+      "E urope",
+      "Euro pe",
+      "z w",
+      "p reh",
+      "pr eh",
+      "pre h",
+      "ĠN SA",
+      "ĠNS A",
+      "Ġ xy",
+      "Ġx y",
+      "ภ´",
+      "Ġ Beyond",
+      "ĠB eyond",
+      "ĠBey ond",
+      "In stead",
+      "Inst ead",
+      "Non Query",
+      "Ġa rise",
+      "Ġar ise",
+      "Ġavoid ed",
+      ". emplace",
+      ".em place",
+      ".emp lace",
+      "_ models",
+      "_model s",
+      "_mode ls",
+      "_mod els",
+      "} ),Ċ",
+      "}) ,Ċ",
+      "}), Ċ",
+      "Ġ hid",
+      "Ġh id",
+      "Ġhi d",
+      "Ġ &_",
+      "Ġ& _",
+      ". points",
+      ".p oints",
+      ".point s",
+      ".po ints",
+      ".poi nts",
+      ". getWidth",
+      ".get Width",
+      ". Exec",
+      ".Ex ec",
+      ".E xec",
+      "Ġ ////",
+      "Ġ// //",
+      "Ġ/ ///",
+      "Ġ/// /",
+      "Ġ Sessions",
+      "ĠS essions",
+      "ĠSession s",
+      ". ..\\",
+      ".. .\\",
+      "... \\",
+      "ĠCol omb",
+      "ĠColo mb",
+      "Ġacceler ation",
+      "Ġaccel eration",
+      "re store",
+      "rest ore",
+      "Ġ ile",
+      "Ġi le",
+      "Ġil e",
+      "o bic",
+      "ob ic",
+      "obi c",
+      "< Node",
+      "<N ode",
+      "Ġ DX",
+      "ĠD X",
+      "Ġ Besides",
+      "ĠBes ides",
+      ". age",
+      ".a ge",
+      ".ag e",
+      "Ġ Contains",
+      "ĠCon tains",
+      "ĠCont ains",
+      "N ational",
+      "Nat ional",
+      "Nation al",
+      "Ġ Implementation",
+      "ĠIm plementation",
+      "ĠImplement ation",
+      "Ġe ffic",
+      "Ġeff ic",
+      "Ġef fic",
+      "Ġ RM",
+      "ĠR M",
+      "H y",
+      "ĠWed ding",
+      "ok ies",
+      "okie s",
+      "oki es",
+      "Ġ recursive",
+      "Ġrec ursive",
+      "Ġrecurs ive",
+      "Ġprosec utors",
+      "Ġprosecutor s",
+      ". Selection",
+      ".S election",
+      ".Se lection",
+      ".Select ion",
+      "Ġ Formula",
+      "ĠForm ula",
+      "Been Called",
+      "[ ii",
+      "[i i",
+      "Ġ Fran",
+      "ĠF ran",
+      "ĠFr an",
+      "ĠFra n",
+      "Ġtraged y",
+      "Ġtrag edy",
+      "_ FEATURE",
+      "_F EATURE",
+      "_FE ATURE",
+      "Ļ ¨",
+      "com pass",
+      "comp ass",
+      "ĠB h",
+      "? ĊĊĊ",
+      "?ĊĊ Ċ",
+      "?Ċ ĊĊ",
+      ". writer",
+      ".w riter",
+      ".write r",
+      ".writ er",
+      ".wr iter",
+      "Ġ Hour",
+      "ĠH our",
+      "ĠHo ur",
+      "ĠHou r",
+      "Db Context",
+      "i ov",
+      "io v",
+      "a mon",
+      "am on",
+      "amo n",
+      "re pr",
+      "rep r",
+      "é ĥ",
+      "ĉ fi",
+      "ĉf i",
+      "' ]]",
+      "'] ]",
+      "Ġ Dry",
+      "ĠD ry",
+      "ĠDr y",
+      ". ro",
+      ".r o",
+      "Ġ Observ",
+      "ĠO bserv",
+      "ĠOb serv",
+      "ĠObs erv",
+      "æł ĩ",
+      "Form er",
+      "For mer",
+      "Ġ Balance",
+      "ĠB alance",
+      "ĠBal ance",
+      "ĉ json",
+      "ĉj son",
+      "ĉjs on",
+      "Ġp rzy",
+      "Ġpr zy",
+      "Ġprz y",
+      "I SS",
+      "IS S",
+      "( sock",
+      "(s ock",
+      "(so ck",
+      "Ġ LINE",
+      "ĠL INE",
+      "ĠLI NE",
+      "ĠLIN E",
+      "Ġd ece",
+      "Ġde ce",
+      "Ġdec e",
+      "Ġ ally",
+      "Ġal ly",
+      "Ġall y",
+      "Ġt endency",
+      "Ġtend ency",
+      "F un",
+      "Fu n",
+      "Ġs chemes",
+      "Ġsch emes",
+      "Ġscheme s",
+      "Ġschem es",
+      "Ġsche mes",
+      "Ġinter ven",
+      "Ġinterv en",
+      "æĺ İ",
+      "Ġad verse",
+      "Ġadv erse",
+      "Ġadvers e",
+      "quote lev",
+      "Ġsacr ific",
+      "_ side",
+      "_s ide",
+      "_si de",
+      "_sid e",
+      "Ġ mutex",
+      "Ġm utex",
+      "Ġmut ex",
+      "Ġmu tex",
+      "Ġmute x",
+      "AG IC",
+      "Ġocc urring",
+      "Ġoccur ring",
+      "Ġoc curring",
+      "Ġ Communication",
+      "ĠComm unication",
+      "ĠCommunic ation",
+      "ĠCommun ication",
+      "u mar",
+      "um ar",
+      "uma r",
+      "ç¼ ĸ",
+      "Ġ Treatment",
+      "ĠT reatment",
+      "ĠTreat ment",
+      ". person",
+      ".p erson",
+      ".per son",
+      "Ġ LC",
+      "ĠL C",
+      "Ġ ech",
+      "Ġe ch",
+      "Ġec h",
+      "( (\"",
+      "(( \"",
+      "ĠD isease",
+      "ĠDis ease",
+      "ĠDise ase",
+      "ä d",
+      "Ġ AZ",
+      "ĠA Z",
+      ". Account",
+      ".A ccount",
+      ".Ac count",
+      ".Acc ount",
+      "Ġcontin uously",
+      "Ġcontinu ously",
+      "Ġcontinuous ly",
+      "END ING",
+      "Ġ RETURN",
+      "ĠRE TURN",
+      "ĠRET URN",
+      "- string",
+      "-s tring",
+      "-st ring",
+      "-str ing",
+      ". filename",
+      ".f ilename",
+      ".file name",
+      ".fi lename",
+      ".fil ename",
+      "syn thesize",
+      "Res ponder",
+      "Resp onder",
+      "Respond er",
+      "( opts",
+      "(o pts",
+      "(op ts",
+      "(opt s",
+      "re gs",
+      "reg s",
+      "Ġn uest",
+      "Ġnu est",
+      "Ġnue st",
+      "Ġnues t",
+      "P eer",
+      "Pe er",
+      "// ------------------------------------------------",
+      "//-------------------------------- ----------------",
+      "//---------------- --------------------------------",
+      "Ġg auge",
+      "Ġga uge",
+      "Ġ Kin",
+      "ĠK in",
+      "ĠKi n",
+      ". schema",
+      ".s chema",
+      "Ġar range",
+      "Ġarr ange",
+      "Ġarrang e",
+      "Ġ Blake",
+      "ĠB lake",
+      "ĠBl ake",
+      "_ TypeInfo",
+      "_Type Info",
+      "C over",
+      "Co ver",
+      "ĠHamp shire",
+      "P aper",
+      "Pa per",
+      "- inner",
+      "-in ner",
+      "u tility",
+      "ut ility",
+      "util ity",
+      "Ġcross origin",
+      "F OR",
+      "FO R",
+      "Ġign oring",
+      "Ġignor ing",
+      "Ġ DD",
+      "ĠD D",
+      "a van",
+      "av an",
+      "ava n",
+      "Ġtrad itions",
+      "Ġtradition s",
+      "Ġ getString",
+      "Ġget String",
+      "ĠgetS tring",
+      "Ġeth ics",
+      "Ġethic s",
+      "Ġ Materials",
+      "ĠMaterial s",
+      "ĠMater ials",
+      "D ESC",
+      "DE SC",
+      "DES C",
+      "Ġen zym",
+      "i olet",
+      "io let",
+      "iol et",
+      "Ġ Chip",
+      "ĠC hip",
+      "ĠCh ip",
+      "ĠChi p",
+      "ĠMc Donald",
+      "ĠMcD onald",
+      "ĠMcDon ald",
+      "Ġn erve",
+      "Ġne rve",
+      "Ġnerv e",
+      "Ġner ve",
+      "ç Ħ",
+      "\" )]",
+      "\") ]",
+      "æ± Ĥ",
+      "Ġ Sugar",
+      "ĠS ugar",
+      "ĠSu gar",
+      "ĠSug ar",
+      "_ SIM",
+      "_S IM",
+      "_SI M",
+      "j peg",
+      "jp eg",
+      "Ġdis cretion",
+      "Ġdiscret ion",
+      "Ġdiscre tion",
+      "Ġ TN",
+      "ĠT N",
+      "b ove",
+      "bo ve",
+      "Ġ Minimum",
+      "ĠMin imum",
+      "Ġ FormGroup",
+      "ĠForm Group",
+      "Ġwork force",
+      "Ġ Execution",
+      "ĠExec ution",
+      "er rer",
+      "err er",
+      "erre r",
+      "ĉ ĠĠĠĠĉ",
+      "ĉĠĠĠ Ġĉ",
+      "ĉĠ ĠĠĠĉ",
+      "ĉĠĠ ĠĠĉ",
+      "ĉĠĠĠĠ ĉ",
+      "Ġpre scribed",
+      "Ġpres cribed",
+      "Ġprescribe d",
+      ".Text Align",
+      "OP EN",
+      "Ġ PB",
+      "ĠP B",
+      "im ity",
+      "imit y",
+      "imi ty",
+      "Ġ External",
+      "ĠEx ternal",
+      "ĠExt ernal",
+      "° C",
+      "ĠApplication Controller",
+      "Ġb arr",
+      "Ġbar r",
+      "Ġba rr",
+      "impl icit",
+      "imp licit",
+      "_ dot",
+      "_d ot",
+      "_do t",
+      "Ġ Colon",
+      "ĠC olon",
+      "ĠCo lon",
+      "ĠCol on",
+      "ĠColo n",
+      "C OLOR",
+      "COL OR",
+      ". Project",
+      ".Pro ject",
+      "* </",
+      "- xl",
+      "-x l",
+      "Ġ osc",
+      "Ġo sc",
+      "Ġos c",
+      "( pattern",
+      "(p attern",
+      "(pat tern",
+      "' )}Ċ",
+      "') }Ċ",
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+      "activ ities",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      ": čĊčĊ",
+      ":čĊ čĊ",
+      "S ER",
+      "SE R",
+      ") &&",
+      ")& &",
+      "_ lst",
+      "_l st",
+      "_ls t",
+      "ĠPol ish",
+      "ĠPo lish",
+      "Ġkn ocked",
+      "Ġknock ed",
+      "Ġfrustr ation",
+      "au kee",
+      "Ġph osph",
+      "iqu id",
+      "iq uid",
+      "_ coeff",
+      "_c oeff",
+      "_co eff",
+      "_coef f",
+      "æŃ ¤",
+      "L atest",
+      "La test",
+      "Lat est",
+      "Late st",
+      "ĠD ust",
+      "ĠDu st",
+      "T ipo",
+      "Tip o",
+      "Ti po",
+      "Ġmain tains",
+      "Ġmaint ains",
+      "Ġmaintain s",
+      "Ġ marsh",
+      "Ġmar sh",
+      "Ġmars h",
+      "inc inn",
+      "inci nn",
+      "l bl",
+      "lb l",
+      "C are",
+      "Car e",
+      "Ca re",
+      "Ġneighborhood s",
+      "_ gpio",
+      "_g pio",
+      "_gp io",
+      "ĠAr senal",
+      "ĠArs enal",
+      "D em",
+      "De m",
+      "ĠW he",
+      "ĠWh e",
+      "_ hook",
+      "_h ook",
+      "Ġl dc",
+      "Ġld c",
+      "ĠHar per",
+      "ĠBer keley",
+      "Ġgrad uated",
+      "Ġgraduate d",
+      "Ġgradu ated",
+      "Per cent",
+      "Ġarr iving",
+      "Ġarriv ing",
+      "Ġ Adventure",
+      "ĠAd venture",
+      "ĠAdvent ure",
+      "( scope",
+      "(s cope",
+      "(sc ope",
+      "( '*",
+      "(' *",
+      "qu arter",
+      "ĠM arie",
+      "ĠMar ie",
+      "ĠMa rie",
+      "ĠMari e",
+      "Spe aking",
+      "Speak ing",
+      "_ codegen",
+      "_code gen",
+      "_cod egen",
+      "Ġim mun",
+      "Ġimm un",
+      "c aster",
+      "ca ster",
+      "cast er",
+      "cas ter",
+      "ãĤ Į",
+      "åķ Ĩ",
+      "Ġ Dimensions",
+      "ĠDim ensions",
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+      "Ġconfigur ations",
+      "Ġacc identally",
+      "Ġaccident ally",
+      "Ġaccidental ly",
+      "_ photo",
+      "_ph oto",
+      "Ġ' ';čĊ",
+      "Ġ'' ;čĊ",
+      "Ġ''; čĊ",
+      "Ġ verse",
+      "Ġv erse",
+      "Ġver se",
+      "Ġvers e",
+      "B ob",
+      "Bo b",
+      "Ġf arming",
+      "Ġfar ming",
+      "Ġfarm ing",
+      "d elivery",
+      "del ivery",
+      "deliver y",
+      "ĠM ack",
+      "ĠMac k",
+      "ĠMa ck",
+      "Ġuse Selector",
+      ".bootstrap cdn",
+      "ke eping",
+      "keep ing",
+      "kee ping",
+      "e ny",
+      "en y",
+      ". upload",
+      ".up load",
+      "Ġ METHOD",
+      "ĠM ETHOD",
+      "ĠMETH OD",
+      "c reator",
+      "cre ator",
+      "creat or",
+      "< _",
+      "ĠE aster",
+      "ĠEast er",
+      "ĠEa ster",
+      ". --",
+      ".- -",
+      "UI Button",
+      "ãĤ ī",
+      "om eters",
+      "ome ters",
+      "omet ers",
+      "ometer s",
+      "Ġ shine",
+      "Ġsh ine",
+      "Ġshin e",
+      "Ġh ogy",
+      "Ġho gy",
+      "Ġhog y",
+      "\\ s",
+      "Ġh arness",
+      "Ġhar ness",
+      ". Cell",
+      ".C ell",
+      "Ġ lifting",
+      "Ġl ifting",
+      "Ġlif ting",
+      "Ġlift ing",
+      "Ġcomb ines",
+      "Ġcombine s",
+      "Ġcombin es",
+      "Ġ Occup",
+      "ĠOcc up",
+      "ĠOc cup",
+      "ex clude",
+      "exc lude",
+      "p atial",
+      "pat ial",
+      "Ġre spir",
+      "Ġres pir",
+      "Ġresp ir",
+      "_ fit",
+      "_f it",
+      "Ġf ifty",
+      "Ġfi fty",
+      "Ġfif ty",
+      "ĠM ol",
+      "ĠMo l",
+      "Ġt uned",
+      "Ġtu ned",
+      "Ġtun ed",
+      "Ġtune d",
+      "-d imensional",
+      "Ġ qs",
+      "Ġq s",
+      "Ġt ops",
+      "Ġto ps",
+      "Ġtop s",
+      "> \";ĊĊ",
+      ">\";Ċ Ċ",
+      ">\" ;ĊĊ",
+      ">\"; ĊĊ",
+      "quis ite",
+      "qui site",
+      "ch annels",
+      "chan nels",
+      "channel s",
+      "/ res",
+      "/r es",
+      "/re s",
+      "Ġ Analytics",
+      "ĠAn alytics",
+      "ĠAnaly tics",
+      ".app compat",
+      "/ to",
+      "/t o",
+      "Ġon Error",
+      "( attr",
+      "(at tr",
+      "(att r",
+      "I RM",
+      "IR M",
+      "Ġrag az",
+      "- as",
+      "-a s",
+      ". Second",
+      ".Se cond",
+      "ori ented",
+      "orient ed",
+      "Ġd onn",
+      "Ġdo nn",
+      "Ġdon n",
+      "Ġlight ning",
+      "f id",
+      "fi d",
+      "ĠP le",
+      "ĠPl e",
+      "ãģ¾ ãģĻ",
+      "t ro",
+      "tr o",
+      ". True",
+      ".Tr ue",
+      "O bservable",
+      "Observ able",
+      "× Ļ",
+      "um bing",
+      "umb ing",
+      "Ġpros pective",
+      "Ġprospect ive",
+      "- filter",
+      "-f ilter",
+      "Ġpurs uant",
+      "( points",
+      "(p oints",
+      "(point s",
+      "(po ints",
+      ". Bind",
+      ".B ind",
+      "Ġp alm",
+      "Ġpa lm",
+      "Ġpal m",
+      "clear fix",
+      "ö s",
+      "ĠG onz",
+      "ĠGo nz",
+      "ĠGon z",
+      "Ġwe aken",
+      "Ġweak en",
+      "D rive",
+      "Dr ive",
+      "en ido",
+      "eni do",
+      "l ld",
+      "ll d",
+      "o box",
+      "ob ox",
+      "obo x",
+      "an ean",
+      "ane an",
+      "G ot",
+      "Go t",
+      "ä¿ Ŀ",
+      "Reg ex",
+      "æ ĥ",
+      "Ġsa lad",
+      "Ġsal ad",
+      "Ġsala d",
+      "as sis",
+      "ass is",
+      "assi s",
+      "\" net",
+      "inherit Doc",
+      "Ġ RV",
+      "ĠR V",
+      "qu ier",
+      "qui er",
+      "Ġ clazz",
+      "Ġcl azz",
+      "Ġcla zz",
+      "ı ÅŁ",
+      "oster one",
+      "oste rone",
+      "Ġair line",
+      "Ġairl ine",
+      ".list dir",
+      "Ġdown loading",
+      "Ġdownload ing",
+      "ĠP alm",
+      "ĠPal m",
+      "ĠPa lm",
+      "w aukee",
+      "& lt",
+      ". BL",
+      ".B L",
+      "_ INLINE",
+      "_IN LINE",
+      "of fs",
+      "off s",
+      "< <(",
+      "<< (",
+      "_ news",
+      "_n ews",
+      "_new s",
+      "_ne ws",
+      "Ġch ase",
+      "Ġcha se",
+      "/ ><",
+      "/> <",
+      "Ġe uros",
+      "Ġeu ros",
+      "Ġeuro s",
+      "ĠEgypt ian",
+      "ĠSt ainless",
+      "_ BOOL",
+      "_BO OL",
+      "Ġ Guild",
+      "ĠG uild",
+      "ĠGu ild",
+      "ĠGui ld",
+      "ĠGuil d",
+      "ĠD ynam",
+      "ĠDy nam",
+      "ĠDyn am",
+      "[ indexPath",
+      "[index Path",
+      "Ġ ï",
+      "Ġmem orable",
+      "Ġmemor able",
+      "ĠCh ampion",
+      "ĠChamp ion",
+      "Resource Manager",
+      ". Login",
+      ".Log in",
+      ".Lo gin",
+      "Ġ Former",
+      "ĠFor mer",
+      "ĠForm er",
+      "y ped",
+      "ype d",
+      "yp ed",
+      "Ġl leg",
+      "Ġll eg",
+      "Ġlle g",
+      "; \",",
+      ";\" ,",
+      "D WORD",
+      "DW ORD",
+      "Ġtax i",
+      "Ġta xi",
+      "Ġb ombs",
+      "Ġbomb s",
+      "Ġbom bs",
+      "r ah",
+      "ra h",
+      ". tags",
+      ".t ags",
+      ".tag s",
+      ".ta gs",
+      "_ tests",
+      "_t ests",
+      "_test s",
+      "_te sts",
+      "s tones",
+      "st ones",
+      "ston es",
+      "stone s",
+      "sto nes",
+      "âĢĿ )",
+      "[ g",
+      "r type",
+      "rt ype",
+      "Ġ vu",
+      "Ġv u",
+      "Ġhost ile",
+      "Ġho stile",
+      "Ġhos tile",
+      "Ch ars",
+      "Char s",
+      "Cha rs",
+      "ĠPatri ots",
+      "ĠPatriot s",
+      "/ status",
+      "/s tatus",
+      "/st atus",
+      "/stat us",
+      "< B",
+      "Ġ Income",
+      "ĠIn come",
+      "ĠInc ome",
+      "ĠD ad",
+      "ĠDa d",
+      "Ġpat rol",
+      "_ CHANGE",
+      "_CH ANGE",
+      "_CHAN GE",
+      "Ġup graded",
+      "Ġupgrade d",
+      "Ġ china",
+      "Ġch ina",
+      "Ġchi na",
+      "Ġchin a",
+      "set q",
+      "Start ed",
+      "Star ted",
+      ".U ndef",
+      ".Un def",
+      "Ġ checksum",
+      "Ġcheck sum",
+      "Ġchecks um",
+      "Ġfrustr ated",
+      "{ o",
+      "Ġe nf",
+      "Ġen f",
+      "Ġ woods",
+      "Ġw oods",
+      "Ġwood s",
+      "Ġwo ods",
+      "Ġwoo ds",
+      "Ġ Anyone",
+      "ĠAny one",
+      "En code",
+      "Enc ode",
+      "ĠQt Widgets",
+      "a reas",
+      "are as",
+      "area s",
+      "Ġsh eer",
+      "Ġshe er",
+      "s ki",
+      "sk i",
+      "end point",
+      "_ Test",
+      "_T est",
+      "S oup",
+      "So up",
+      "Sou p",
+      "~~~~~~~~ ~~~~~~~~",
+      "( files",
+      "(f iles",
+      "(file s",
+      "(fi les",
+      "(fil es",
+      "ĉ ĉĉĉĉčĊ",
+      "ĉĉ ĉĉĉčĊ",
+      "ĉĉĉĉ ĉčĊ",
+      "ĉĉĉ ĉĉčĊ",
+      "ĉĉĉĉĉ čĊ",
+      ". spark",
+      ".s park",
+      ".sp ark",
+      "Ġvalue d",
+      "Ġval ued",
+      "Ġvalu ed",
+      "Ġ %Ċ",
+      "Ġ% Ċ",
+      ". controls",
+      ".control s",
+      "ĠXCTAssert Equal",
+      "Ġf ame",
+      "Ġfam e",
+      "Ġfa me",
+      "ĠR ic",
+      "ĠRi c",
+      "D OT",
+      "DO T",
+      "ĠAlbert a",
+      "ĠAlb erta",
+      "ä½ ¿",
+      "o sal",
+      "os al",
+      "osa l",
+      ".Web Controls",
+      "Ġ ------------",
+      "Ġ- -----------",
+      "Ġ-- ----------",
+      "Ġ---- --------",
+      "Ġ--- ---------",
+      "Ġ----- -------",
+      "Ġ---------- --",
+      "Ġ------ ------",
+      "Ġ-------- ----",
+      "Ġ------- -----",
+      "Ġ--------- ---",
+      "Ġ----------- -",
+      "Ġ Mis",
+      "ĠM is",
+      "ĠMi s",
+      "Ġ SYS",
+      "ĠS YS",
+      "ĠSY S",
+      "Non null",
+      "= item",
+      "=i tem",
+      "Ġ expire",
+      "Ġex pire",
+      "Ġexp ire",
+      "De code",
+      "Dec ode",
+      "_ operation",
+      "_op eration",
+      "_o peration",
+      "_oper ation",
+      "Ġ Validator",
+      "ĠValid ator",
+      ". CENTER",
+      ".C ENTER",
+      "uff s",
+      "uf fs",
+      "* m",
+      "Ġa vant",
+      "Ġav ant",
+      "Ġava nt",
+      "Ġavan t",
+      "æ¬ ¡",
+      "âĢľ You",
+      ". permission",
+      ".per mission",
+      ".perm ission",
+      ".. .)",
+      "... )",
+      "Ġ Lic",
+      "ĠL ic",
+      "ĠLi c",
+      "_ coords",
+      "_co ords",
+      "_coord s",
+      ". nombre",
+      ".n ombre",
+      ".nom bre",
+      "c lo",
+      "cl o",
+      ". Internal",
+      ".In ternal",
+      ".Int ernal",
+      ".Inter nal",
+      "Ġ Cho",
+      "ĠC ho",
+      "ĠCh o",
+      "_ sw",
+      "_s w",
+      "ĉ Il",
+      "ĉI l",
+      "c lk",
+      "cl k",
+      "Ġ castle",
+      "Ġc astle",
+      "Ġcas tle",
+      "Ġcast le",
+      "( layer",
+      "(l ayer",
+      "p it",
+      "pi t",
+      "Ġ guided",
+      "Ġgu ided",
+      "Ġguide d",
+      "Ġguid ed",
+      "Ġgui ded",
+      "Ġ âĸĪ",
+      "Ġâĸ Ī",
+      "Ġsup erb",
+      "Ġsuper b",
+      "Ġsup plements",
+      "Ġsupplement s",
+      "Ġsuppl ements",
+      "Ġsupp lements",
+      "_ cent",
+      "_c ent",
+      "_ce nt",
+      "Ġ peek",
+      "Ġpe ek",
+      "Ġpee k",
+      "IN ARY",
+      "INA RY",
+      ". ContentAlignment",
+      ".Content Alignment",
+      "f alls",
+      "fall s",
+      "fal ls",
+      "\" ));",
+      "\") );",
+      "\")) ;",
+      "W all",
+      "Wal l",
+      "Wa ll",
+      ") .čĊ",
+      "). čĊ",
+      "Ġ Danny",
+      "ĠD anny",
+      "ĠDan ny",
+      "ĠDann y",
+      "irm ingham",
+      "IAL IZ",
+      "( create",
+      "(c reate",
+      "\" In",
+      "\"I n",
+      "Service Provider",
+      "Ġpr iced",
+      "Ġprice d",
+      "Ġpri ced",
+      "m acro",
+      "ma cro",
+      "mac ro",
+      "a mac",
+      "am ac",
+      "ama c",
+      ". box",
+      ".b ox",
+      ".bo x",
+      "- ---Ċ",
+      "-- --Ċ",
+      "---- Ċ",
+      "--- -Ċ",
+      "ãĥ «",
+      "Ġ Suit",
+      "ĠS uit",
+      "ĠSu it",
+      "u rst",
+      "ur st",
+      "urs t",
+      "b ru",
+      "br u",
+      "ourn als",
+      "ournal s",
+      "num ero",
+      "numer o",
+      "_ _()Ċ",
+      "__ ()Ċ",
+      "__( )Ċ",
+      "__() Ċ",
+      "D as",
+      "Da s",
+      "ĠM itt",
+      "ĠMi tt",
+      "ĠMit t",
+      "u der",
+      "ud er",
+      "ude r",
+      "? \\",
+      "f u",
+      "[ B",
+      "Ġ: )ĊĊ",
+      "Ġ:) ĊĊ",
+      "Ġ:)Ċ Ċ",
+      "( inter",
+      "(int er",
+      "(in ter",
+      "br ains",
+      "bra ins",
+      "brain s",
+      "Ġatt itudes",
+      "Ġattitude s",
+      "Ver ify",
+      "Ġsign atures",
+      "Ġsignature s",
+      "ack Bar",
+      "Ġ gd",
+      "Ġg d",
+      "J ack",
+      "Ja ck",
+      "Jac k",
+      ". cat",
+      ".c at",
+      ".ca t",
+      "Ġ zz",
+      "Ġz z",
+      "w arf",
+      "wa rf",
+      "war f",
+      "F TER",
+      "FT ER",
+      "\" );ĊĊĊ",
+      "\");Ċ ĊĊ",
+      "\") ;ĊĊĊ",
+      "\");ĊĊ Ċ",
+      "\"); ĊĊĊ",
+      "A live",
+      "Al ive",
+      "Ali ve",
+      "I CLE",
+      "IC LE",
+      "Ġ Whatever",
+      "ĠWh atever",
+      "ĠWhat ever",
+      "Ġ outlined",
+      "Ġout lined",
+      "Ġoutline d",
+      "s prite",
+      "sp rite",
+      "spr ite",
+      "е в",
+      "еР²",
+      "_ AB",
+      "_A B",
+      "_ DEPTH",
+      "_DE PTH",
+      "Ġcr ushed",
+      "Ġcrush ed",
+      "Ġcru shed",
+      "Ġcrus hed",
+      "a aa",
+      "aa a",
+      "( ev",
+      "(e v",
+      "æľ º",
+      "An ti",
+      "Ant i",
+      "I CO",
+      "IC O",
+      "is EqualTo",
+      "isEqual To",
+      ". sun",
+      ".s un",
+      "i culo",
+      "ic ulo",
+      "s ale",
+      "sa le",
+      "sal e",
+      "_ hex",
+      "_h ex",
+      "_he x",
+      "Ġ Vk",
+      "ĠV k",
+      "ap tor",
+      "apt or",
+      "Un ion",
+      "Uni on",
+      "Ġ Discount",
+      "ĠDis count",
+      "ĠDisc ount",
+      "ĠDisco unt",
+      "l ista",
+      "li sta",
+      "list a",
+      "lis ta",
+      ".Undef Or",
+      "Ġ automation",
+      "Ġa utomation",
+      "Ġautom ation",
+      "Ġautomat ion",
+      "N or",
+      "No r",
+      "å¯ ¹",
+      "åı Ĥæķ°",
+      "åıĤ æķ°",
+      "Ġre flex",
+      "Ġref lex",
+      "Ġrefl ex",
+      "ĠLa ure",
+      "ĠLaur e",
+      "ĠLau re",
+      ".showMessage Dialog",
+      ". temp",
+      ".t emp",
+      ".te mp",
+      ".tem p",
+      "Ġ akan",
+      "Ġa kan",
+      "Ġak an",
+      "Ġaka n",
+      "Ġ_ _____",
+      "Ġ__ ____",
+      "Ġ___ ___",
+      "Ġ____ __",
+      "Ġ_____ _",
+      ".Is True",
+      "A RED",
+      "AR ED",
+      "ARE D",
+      "a gle",
+      "ag le",
+      "E nergy",
+      "En ergy",
+      "Ġquant ities",
+      "âĢĻ é",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "Ġcitizens hip",
+      "Ġcitizen ship",
+      "m outh",
+      "mo uth",
+      "Ġin appropriate",
+      "Ġ Outdoor",
+      "ĠOut door",
+      "White Space",
+      "An onymous",
+      "lo ads",
+      "load s",
+      "webElement Properties",
+      "T en",
+      "Te n",
+      "Ġacc idents",
+      "Ġaccident s",
+      "Ġ advertisement",
+      "Ġad vertisement",
+      "Ġadvertis ement",
+      "Ġadvertise ment",
+      "ĠY emen",
+      "ĠYe men",
+      "( call",
+      "(c all",
+      "(cal l",
+      "(ca ll",
+      "Ġsl avery",
+      "Ġslave ry",
+      "Ġsla very",
+      "Ġslav ery",
+      "Ñģ п",
+      "ĠL am",
+      "ĠLa m",
+      "_ BITS",
+      "_B ITS",
+      "_BIT S",
+      "o mega",
+      "om ega",
+      "ome ga",
+      "ĠO le",
+      "ĠOl e",
+      "Ġkid n",
+      "Ġki dn",
+      "_ An",
+      "_A n",
+      "ĠR aid",
+      "ĠRa id",
+      "ĠRai d",
+      "C reation",
+      "Cre ation",
+      "Creat ion",
+      "s aved",
+      "save d",
+      "sa ved",
+      "sav ed",
+      "Ġpro port",
+      "Ġprop ort",
+      "Ġpropor t",
+      "W ARNING",
+      "WAR NING",
+      "WARN ING",
+      "\\ P",
+      "Ġ pwd",
+      "Ġp wd",
+      "Ġpw d",
+      "Data Reader",
+      "is cher",
+      "isc her",
+      "ische r",
+      "isch er",
+      "ad eon",
+      "ade on",
+      "Ġ Predict",
+      "ĠP redict",
+      "ĠPre dict",
+      "ĠPred ict",
+      "Ġreason ing",
+      "Ġdestroy ing",
+      "H el",
+      "He l",
+      "* d",
+      "ĠLeg isl",
+      "_ Pr",
+      "_P r",
+      "ĉ ĉĉĠĠĠĠĠĠĠ",
+      "ĉĉ ĉĠĠĠĠĠĠĠ",
+      "ĉĉĉ ĠĠĠĠĠĠĠ",
+      "ĉĉĉĠĠĠ ĠĠĠĠ",
+      "ĉĉĉĠ ĠĠĠĠĠĠ",
+      "ĉĉĉĠĠ ĠĠĠĠĠ",
+      "ĉĉĉĠĠĠĠ ĠĠĠ",
+      "ĉĉĉĠĠĠĠĠ ĠĠ",
+      "ĉĉĉĠĠĠĠĠĠ Ġ",
+      "Ġsym path",
+      "Ġsymp ath",
+      "Ġch ess",
+      "Ġche ss",
+      "Ġ mam",
+      "Ġm am",
+      "Ġma m",
+      ": hover",
+      ":h over",
+      "Ġcon verts",
+      "Ġconvert s",
+      "Ġconv erts",
+      "Ġconver ts",
+      "Ġp ela",
+      "Ġpe la",
+      "Ġpel a",
+      "Ġpro gression",
+      "Ġprogress ion",
+      "Ġprog ression",
+      "Ġ\" _\"",
+      "Ġ\"_ \"",
+      "ĠG ill",
+      "ĠGi ll",
+      "ĠGil l",
+      "ĉ show",
+      "ĉs how",
+      "ĉsh ow",
+      "Ġsupposed ly",
+      "ac curacy",
+      "acc uracy",
+      "accur acy",
+      "e lin",
+      "el in",
+      "eli n",
+      "Ġunf olding",
+      "Ġunfold ing",
+      "Ġ Hyper",
+      "ĠH yper",
+      "ĠHy per",
+      "ĠHyp er",
+      "Ġw anna",
+      "Ġwann a",
+      "Ġwan na",
+      "Ġ ups",
+      "Ġu ps",
+      "Ġup s",
+      "( #",
+      "ĠC riminal",
+      "ĠCr iminal",
+      "( Point",
+      "(P oint",
+      "at Lng",
+      "act ly",
+      "Ġcontract ors",
+      "Ġcontr actors",
+      "Ġcontractor s",
+      "Ġcontra ctors",
+      "' ]}",
+      "'] }",
+      "draul ic",
+      "ód igo",
+      "Ġ TT",
+      "ĠT T",
+      "Ġ Wide",
+      "ĠW ide",
+      "ĠWi de",
+      "ĠWid e",
+      "Ġ ARG",
+      "ĠA RG",
+      "ĠAR G",
+      "_ ic",
+      "_i c",
+      "FLAG S",
+      "S chool",
+      "Sch ool",
+      "Ġcl earing",
+      "Ġclear ing",
+      "Ġcle aring",
+      "- being",
+      "-b eing",
+      "-be ing",
+      "={ [",
+      ", const",
+      "man ent",
+      "Over lay",
+      "( '\"",
+      "(' \"",
+      "éĩ ı",
+      "Ġ Timestamp",
+      "ĠT imestamp",
+      "ĠTime stamp",
+      "Ġm ailing",
+      "Ġma iling",
+      "Ġmail ing",
+      "Ġmai ling",
+      "Ġ Cake",
+      "ĠC ake",
+      "ĠCa ke",
+      ". That",
+      ".T hat",
+      ".Th at",
+      "Ġmed itation",
+      "q p",
+      "Ġ empresa",
+      "Ġemp resa",
+      "Ġempres a",
+      "ĠL ions",
+      "ĠLi ons",
+      "ĠLion s",
+      "Ġw eld",
+      "Ġwe ld",
+      "Ġwel d",
+      "Ġ LinkedIn",
+      "ĠLinked In",
+      "Ġc ush",
+      "Ġcu sh",
+      "Ġcus h",
+      "Ġ genome",
+      "Ġge nome",
+      "Ġgen ome",
+      "Ġgenom e",
+      ". IndexOf",
+      ".Index Of",
+      "a gain",
+      "ag ain",
+      "aga in",
+      "Ġ fallback",
+      "Ġf allback",
+      "Ġfall back",
+      "Ġc amping",
+      "Ġcamp ing",
+      "Ġcam ping",
+      "r edd",
+      "re dd",
+      "red d",
+      "-strip ed",
+      "-str iped",
+      "Ġ dv",
+      "Ġd v",
+      "Fe bruary",
+      "Feb ruary",
+      "Ġ Proxy",
+      "ĠPro xy",
+      "ĠPr oxy",
+      "u sk",
+      "us k",
+      "Ġd iesel",
+      "Ġdi esel",
+      "Ġdie sel",
+      "Ġdies el",
+      "Ġdiese l",
+      "W RITE",
+      "WR ITE",
+      "RE AK",
+      "REA K",
+      "L orem",
+      "Lo rem",
+      ". Invoke",
+      ".In voke",
+      ".Inv oke",
+      "- div",
+      "-d iv",
+      "-di v",
+      "Inter ceptor",
+      "Ġ DH",
+      "ĠD H",
+      "i ales",
+      "ial es",
+      "ia les",
+      "iale s",
+      "Ġvill ages",
+      "Ġvillage s",
+      "Ġvilla ges",
+      "Ø ´",
+      "Ġ ENV",
+      "ĠE NV",
+      "ĠEN V",
+      "S ys",
+      "Sy s",
+      ". XR",
+      ".X R",
+      "Ġpo em",
+      "Ã Ĥ",
+      "c ade",
+      "ca de",
+      "cad e",
+      "p lots",
+      "pl ots",
+      "plot s",
+      "Ġ {(",
+      "Ġ{ (",
+      ". git",
+      ".g it",
+      "/ svg",
+      "/s vg",
+      "n cmp",
+      "nc mp",
+      "Ġ Äį",
+      "ĠÄ į",
+      "a ines",
+      "ain es",
+      "ai nes",
+      "aine s",
+      "åĩ ½æķ°",
+      "åĩ½ æķ°",
+      "Ġ ()ĊĊ",
+      "Ġ( )ĊĊ",
+      "Ġ() ĊĊ",
+      "Ġ()Ċ Ċ",
+      "op sis",
+      "ops is",
+      "Ġ Relationship",
+      "ĠRel ationship",
+      "ĠRelations hip",
+      "ĠRelation ship",
+      "_ aut",
+      "_a ut",
+      "Ġ Bomb",
+      "ĠB omb",
+      "ĠBo mb",
+      "ĠBom b",
+      "ĉ com",
+      "ĉc om",
+      "* sizeof",
+      "*size of",
+      "off icial",
+      "_ payload",
+      "_p ayload",
+      "_pay load",
+      "ĉ ĉĉĉĉĠĠ",
+      "ĉĉ ĉĉĉĠĠ",
+      "ĉĉĉĉ ĉĠĠ",
+      "ĉĉĉ ĉĉĠĠ",
+      "ĉĉĉĉĉ ĠĠ",
+      "ĉĉĉĉĉĠ Ġ",
+      ". manager",
+      ".m anager",
+      ".man ager",
+      ".manage r",
+      "Ġ Around",
+      "ĠA round",
+      "ĠAr ound",
+      "ĉ send",
+      "ĉs end",
+      "ĉse nd",
+      "Ġ Exercise",
+      "ĠEx ercise",
+      "Ġ Billy",
+      "ĠB illy",
+      "ĠBill y",
+      "ĠBil ly",
+      "i vi",
+      "iv i",
+      "Ġne eding",
+      "Ġneed ing",
+      "_ urls",
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+      "_ur ls",
+      "_ tasks",
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+      "_task s",
+      "ĠH em",
+      "ĠHe m",
+      "Ġ tearDown",
+      "Ġte arDown",
+      "Ġtear Down",
+      "en crypt",
+      "enc rypt",
+      ". tie",
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+      "Ġ asm",
+      "Ġa sm",
+      "Ġas m",
+      "I CH",
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+      "ĠCGRect Make",
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+      "u long",
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+      "ulo ng",
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+      "Ġi tr",
+      "Ġ GST",
+      "ĠG ST",
+      "ĠGS T",
+      "Ġoffer ings",
+      "Ġoffering s",
+      "r obe",
+      "ro be",
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+      "_ PROP",
+      "_P ROP",
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+      "_PR OP",
+      "in dent",
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+      "inden t",
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+      "o rf",
+      "or f",
+      "ë IJ",
+      "Ġbl essed",
+      "Ġbless ed",
+      "v ascular",
+      "vas cular",
+      "Ġcon oc",
+      "Ġco noc",
+      "H appy",
+      "Ha ppy",
+      "B ridge",
+      "Br idge",
+      "il itation",
+      "ilit ation",
+      "j oint",
+      "join t",
+      "jo int",
+      "Ġ Administr",
+      "ĠAdmin istr",
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+      "-trans form",
+      "Ġmean time",
+      "Ġmeant ime",
+      "/ K",
+      "ĠBed room",
+      "Ġr igid",
+      "Ġrig id",
+      "Ġri gid",
+      "Ġb rowsers",
+      "Ġbrowser s",
+      "Ġbrows ers",
+      "Ġbrowse rs",
+      "EM PTY",
+      "EMP TY",
+      ". Serialize",
+      ".S erialize",
+      ".Serial ize",
+      "_ ED",
+      "_E D",
+      "Ġst itch",
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+      "Ġj an",
+      "Ġja n",
+      "el lt",
+      "ell t",
+      "Ġ brace",
+      "Ġb race",
+      "Ġbr ace",
+      "Ġbra ce",
+      "Ġt rails",
+      "Ġtr ails",
+      "Ġtrail s",
+      "Ġtra ils",
+      "Ġtrai ls",
+      "p ublished",
+      "publish ed",
+      "å¯Ĩ çłģ",
+      "} ')Ċ",
+      "}' )Ċ",
+      "}') Ċ",
+      "Ġac ids",
+      "Ġacid s",
+      "Ġ !!!",
+      "Ġ! !!",
+      "Ġ!! !",
+      "_ direct",
+      "_d irect",
+      "_dir ect",
+      "_di rect",
+      "> ());Ċ",
+      ">( ));Ċ",
+      ">() );Ċ",
+      ">()) ;Ċ",
+      "a jÄħ",
+      "aj Äħ",
+      "_O CC",
+      "_OC C",
+      "Ġplan ets",
+      "Ġplane ts",
+      "Ġplanet s",
+      "Ġpla nets",
+      "æ Ł¥",
+      "æŁ ¥",
+      "ĠDub lin",
+      "Ġ serie",
+      "Ġs erie",
+      "Ġse rie",
+      "Ġser ie",
+      "Ġseri e",
+      ". printf",
+      ".print f",
+      "de ep",
+      "dee p",
+      "` )",
+      "Ġ \\$",
+      "Ġ\\ $",
+      "Ġ μ",
+      "ĠÎ ¼",
+      "_ VIDEO",
+      "_V IDEO",
+      "end ors",
+      "endor s",
+      "endo rs",
+      "Ġ Crypto",
+      "ĠC rypto",
+      "ĠCrypt o",
+      "ĠCry pto",
+      "F ar",
+      "Fa r",
+      ". Transparent",
+      ".Trans parent",
+      ". TR",
+      ".T R",
+      "i asm",
+      "ia sm",
+      "ias m",
+      "_ training",
+      "_tr aining",
+      "_train ing",
+      "_tra ining",
+      "Ġte aches",
+      "Ġteach es",
+      "Ġtea ches",
+      "ĠB elt",
+      "ĠBe lt",
+      "ĠBel t",
+      "Ġlimit ing",
+      "Ġlim iting",
+      "ĠK ath",
+      "ĠKat h",
+      "ĠKa th",
+      "Ġ IndexPath",
+      "ĠIndex Path",
+      "Ġachie vements",
+      "Ġachieve ments",
+      "Ġachievement s",
+      "Ġse rá",
+      "Ġser á",
+      "interop Require",
+      "Ġd isse",
+      "Ġdis se",
+      "Ġdi sse",
+      "Ġdiss e",
+      ". If",
+      ".I f",
+      "ar ming",
+      "arm ing",
+      "uls ion",
+      "P o",
+      "_ DETAIL",
+      "_DE TAIL",
+      "_DET AIL",
+      "Prot otype",
+      "Proto type",
+      "Ġ CAL",
+      "ĠC AL",
+      "ĠCA L",
+      "Ġag rees",
+      "Ġagre es",
+      "Ġagree s",
+      "Ġagr ees",
+      ". vo",
+      ".v o",
+      ".Execute NonQuery",
+      "Ġ Topic",
+      "ĠT opic",
+      "ĠTo pic",
+      "ĠTop ic",
+      "Ġ' {}",
+      "Ġ'{ }",
+      "A rm",
+      "Ar m",
+      "Ġ ecc",
+      "Ġe cc",
+      "Ġec c",
+      "M ag",
+      "Ma g",
+      "Ġ serialized",
+      "Ġs erialized",
+      "Ġser ialized",
+      "Ġserial ized",
+      "Ġserialize d",
+      "ĉ conn",
+      "ĉc onn",
+      "ĉcon n",
+      "c ached",
+      "ca ched",
+      "cache d",
+      "cac hed",
+      "= tf",
+      "=t f",
+      "Ġ ByteArray",
+      "ĠByte Array",
+      "prot obuf",
+      "proto buf",
+      "var char",
+      "ĉ ASSERT",
+      "ĉA SSERT",
+      "Ġ liste",
+      "Ġl iste",
+      "Ġli ste",
+      "Ġlist e",
+      "Ġlis te",
+      "_ trigger",
+      "_tr igger",
+      "_tri gger",
+      "· ¸",
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+      "Fee l",
+      "T ahoma",
+      "Ġ Lik",
+      "ĠL ik",
+      "ĠLi k",
+      "Ġ structured",
+      "Ġstruct ured",
+      "Ġstructure d",
+      "erg us",
+      ". Initial",
+      ".In itial",
+      ".Init ial",
+      "_ ge",
+      "_g e",
+      "cl js",
+      ". contact",
+      ".cont act",
+      "Ġand ere",
+      "Ġan dere",
+      "Ġander e",
+      "$ stmt",
+      "_ CURRENT",
+      "_C URRENT",
+      "Ġ Discover",
+      "ĠDis cover",
+      "ĠDisc over",
+      "ĠDisco ver",
+      "$ res",
+      "$r es",
+      "form atter",
+      "for matter",
+      "format ter",
+      "H a",
+      "van gst",
+      "vang st",
+      "Ġe merge",
+      "Ġem erge",
+      "Ġemerg e",
+      "ãĢĤ âĢĿ",
+      "ĠC abinet",
+      "ĠCabin et",
+      "ĠCab inet",
+      "- square",
+      "-s quare",
+      "éĥ ¨",
+      "Ġ rage",
+      "Ġr age",
+      "Ġra ge",
+      "Ġrag e",
+      "Ġ AJ",
+      "ĠA J",
+      "Ġ VT",
+      "ĠV T",
+      "sh adow",
+      "ĠFa ith",
+      "e names",
+      "en ames",
+      "ename s",
+      "ena mes",
+      "p retty",
+      "pr etty",
+      "pre tty",
+      "pret ty",
+      "h asil",
+      "ha sil",
+      "has il",
+      "p arty",
+      "par ty",
+      "part y",
+      "Ġ varchar",
+      "Ġvar char",
+      "Ġf otos",
+      "Ġfo tos",
+      "Ġfoto s",
+      "Ġfot os",
+      "Ġa lum",
+      "Ġal um",
+      "ĠBel gium",
+      "ĠBelg ium",
+      ". ylabel",
+      ".y label",
+      "Ġ dej",
+      "Ġd ej",
+      "Ġde j",
+      "_ numbers",
+      "_num bers",
+      "_number s",
+      "Ġ hu",
+      "Ġh u",
+      ".set Adapter",
+      "Ġ Usually",
+      "ĠUs ually",
+      "( sample",
+      "(s ample",
+      ". Shared",
+      ".Sh ared",
+      "Ġbo oked",
+      "Ġbook ed",
+      "Ġboo ked",
+      "Ġ> >=",
+      "Ġ>> =",
+      "Ġmin erals",
+      "Ġmineral s",
+      "Ġminer als",
+      "\" ><?=",
+      "\"> <?=",
+      "\">< ?=",
+      "\"><? =",
+      "Ġadjust ments",
+      "Ġadjustment s",
+      "Ġ DL",
+      "ĠD L",
+      "Ġvibr ant",
+      "Ġvib rant",
+      "Ġ Dependency",
+      "ĠD ependency",
+      "ĠDep endency",
+      "ĠDepend ency",
+      "Ġ zap",
+      "Ġz ap",
+      "Ġza p",
+      "/ X",
+      "Ġ fonts",
+      "Ġfont s",
+      "Ġfo nts",
+      "Ġfon ts",
+      "t rip",
+      "tr ip",
+      "tri p",
+      "и Ñĩ",
+      "Ġt ubes",
+      "Ġtu bes",
+      "Ġtube s",
+      "Ġtub es",
+      "cl amation",
+      "Ġ ë§",
+      "Ġë §",
+      "Ġprot agon",
+      "o upon",
+      "ou pon",
+      "oup on",
+      "Ġ Brush",
+      "ĠB rush",
+      "ĠBr ush",
+      "ĠBru sh",
+      "( pred",
+      "(p red",
+      "(pr ed",
+      "(pre d",
+      "our ney",
+      "ourn ey",
+      "' ])->",
+      "'] )->",
+      "']) ->",
+      "p rog",
+      "pr og",
+      "pro g",
+      "b oo",
+      "bo o",
+      "_ md",
+      "_m d",
+      "_ pack",
+      "_p ack",
+      "_pa ck",
+      "( express",
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+      "(exp ress",
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+      "ut z",
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+      ",i d",
+      "ĠCh ile",
+      "ĠChi le",
+      "act ice",
+      "actic e",
+      "Ġrec ruitment",
+      "Ġrecruit ment",
+      "Ġ poses",
+      "Ġp oses",
+      "Ġpos es",
+      "Ġpo ses",
+      "Ġpose s",
+      "Ġvulner ability",
+      "inst anc",
+      "o rum",
+      "or um",
+      "oru m",
+      "d ess",
+      "de ss",
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+      "Ġ xl",
+      "Ġx l",
+      "%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%",
+      "( fig",
+      "(f ig",
+      "(fi g",
+      "Ġde leting",
+      "Ġdel eting",
+      "Ġdelet ing",
+      "Ġdele ting",
+      ". del",
+      ".d el",
+      ".de l",
+      ") ')Ċ",
+      ")' )Ċ",
+      "Ġ Weekly",
+      "ĠWeek ly",
+      "? ??",
+      "?? ?",
+      "( strcmp",
+      "(str cmp",
+      "s mith",
+      "sm ith",
+      "Ġpurs uing",
+      "- so",
+      "-s o",
+      "Ġ Apps",
+      "ĠA pps",
+      "ĠApp s",
+      "ĠAp ps",
+      "/ 'Ċ",
+      "/' Ċ",
+      "Ġde cis",
+      "Ġdec is",
+      "F ORE",
+      "FO RE",
+      "FOR E",
+      "Every one",
+      "Ġl anes",
+      "Ġla nes",
+      "Ġlane s",
+      "Ġlan es",
+      "V irtual",
+      "Vir tual",
+      ". attach",
+      ".at tach",
+      ".att ach",
+      "( Log",
+      "(L og",
+      "ĠMed icaid",
+      "ĠMedic aid",
+      "( Path",
+      "(P ath",
+      "ĠTur ner",
+      "ĠTurn er",
+      "/ application",
+      "/app lication",
+      "/ap plication",
+      "Ġ portrait",
+      "Ġport rait",
+      "Ġpor trait",
+      "Ġop pose",
+      "Ġopp ose",
+      "Ġoppos e",
+      "check out",
+      "Ġfin ishes",
+      "Ġfinish es",
+      "_ ME",
+      "_M E",
+      "Bar rier",
+      "S ong",
+      "So ng",
+      "Son g",
+      "V AR",
+      "VA R",
+      "Ear lier",
+      "r ella",
+      "re lla",
+      "rel la",
+      "rell a",
+      "Ġh ast",
+      "Ġhas t",
+      "Ġha st",
+      "a zar",
+      "az ar",
+      "aza r",
+      "Ġp ulls",
+      "Ġpull s",
+      "Ġpul ls",
+      "n gx",
+      "ng x",
+      "Ġins piring",
+      "Ġinspir ing",
+      "Ġinsp iring",
+      "Ñĥ Ñİ",
+      "- direction",
+      "-d irection",
+      "-direct ion",
+      "-dir ection",
+      "-di rection",
+      "Ġexplos ive",
+      "Ġ createdAt",
+      "Ġcreated At",
+      "s to",
+      "st o",
+      "Ġw heat",
+      "Ġwh eat",
+      "Ġwhe at",
+      "Ġ Built",
+      "ĠB uilt",
+      "ĠBu ilt",
+      "' ai",
+      "'a i",
+      "Ġ tracked",
+      "Ġtr acked",
+      "Ġtrack ed",
+      "h ammad",
+      "ham mad",
+      "RowAt IndexPath",
+      "_ heap",
+      "_he ap",
+      "D ue",
+      "Du e",
+      "Ġconn ects",
+      "Ġconnect s",
+      ". publish",
+      ".p ublish",
+      ".pub lish",
+      "e mu",
+      "em u",
+      "Ġb ullets",
+      "Ġbul lets",
+      "Ġbull ets",
+      "Ġbullet s",
+      "B AR",
+      "BA R",
+      "o late",
+      "ol ate",
+      "ola te",
+      "Ġintern ally",
+      "Ġinternal ly",
+      "Ġc atching",
+      "Ġcatch ing",
+      "Ġcat ching",
+      "- password",
+      "-p assword",
+      "-pass word",
+      "ou ched",
+      "ouch ed",
+      "æĢ §",
+      "e ous",
+      "eo us",
+      "Ġx range",
+      "Ġxr ange",
+      "Q uality",
+      "Qu ality",
+      "Qual ity",
+      "v v",
+      "Man age",
+      "Ma nage",
+      "Mana ge",
+      "( ($",
+      "(( $",
+      "ace ments",
+      "ac ements",
+      "acement s",
+      "ĠBr others",
+      "ĠBro thers",
+      "ĠBrother s",
+      "Ġ HEAD",
+      "ĠHE AD",
+      "Ġ Unsupported",
+      "ĠUn supported",
+      "ĠUns upported",
+      "s an",
+      "sa n",
+      "e si",
+      "es i",
+      "* **Ċ",
+      "** *Ċ",
+      "*** Ċ",
+      "Ġadapt ation",
+      "Ġ Worker",
+      "ĠWork er",
+      "ĠWor ker",
+      "' ]/",
+      "'] /",
+      ".save fig",
+      "( trans",
+      "(t rans",
+      "(tr ans",
+      "Ø ¬",
+      "n ee",
+      "ne e",
+      "C orrect",
+      "Cor rect",
+      ".. .\")Ċ",
+      "... \")Ċ",
+      "...\" )Ċ",
+      "Ġsubmit ting",
+      "- path",
+      "-p ath",
+      "ĉ last",
+      "ĉl ast",
+      "is san",
+      "iss an",
+      "issa n",
+      ". xlabel",
+      ".x label",
+      "Ġ Separ",
+      "ĠS epar",
+      "ĠSe par",
+      "ĠSep ar",
+      "/ no",
+      "/n o",
+      "_ best",
+      "_b est",
+      "_be st",
+      "ĠM ills",
+      "ĠMill s",
+      "ĠMil ls",
+      "_ sock",
+      "_s ock",
+      "_so ck",
+      "_soc k",
+      "( flag",
+      "(f lag",
+      "(fl ag",
+      "Ġdest inations",
+      "Ġdestination s",
+      "Ġdestin ations",
+      "em ption",
+      "emp tion",
+      "empt ion",
+      "Ġ FAIL",
+      "ĠF AIL",
+      "ĠFA IL",
+      "å ĴĮ",
+      "åĴ Į",
+      "Ġ rp",
+      "Ġr p",
+      "f act",
+      "fa ct",
+      "fac t",
+      "ĉ len",
+      "ĉl en",
+      "D AY",
+      "DA Y",
+      "Ġse iz",
+      "Ġsei z",
+      "_ dst",
+      "_d st",
+      "_ds t",
+      "l ip",
+      "li p",
+      ". Linear",
+      ".L inear",
+      ".Line ar",
+      "Ġ Basket",
+      "ĠB asket",
+      "ĠBas ket",
+      "$ t",
+      "$ i",
+      "- brand",
+      "-b rand",
+      "-br and",
+      "Ġ Neil",
+      "ĠN eil",
+      "ĠNe il",
+      "Ġ Eq",
+      "ĠE q",
+      "Ġt hou",
+      "Ġth ou",
+      "Ġtho u",
+      "o gene",
+      "og ene",
+      "ogen e",
+      "oge ne",
+      "Ġscholar ship",
+      "Ġscholars hip",
+      "æĽ ´",
+      "Ġs wo",
+      "Ġsw o",
+      "ag inator",
+      "agina tor",
+      "e ni",
+      "en i",
+      "( book",
+      "(b ook",
+      "Ġ blink",
+      "Ġb link",
+      "Ġbl ink",
+      "Ġbli nk",
+      "t hus",
+      "th us",
+      "Ġ cancellationToken",
+      "Ġc ancellationToken",
+      "Ġcancell ationToken",
+      "Ġcancellation Token",
+      "ĠPalestin ians",
+      "ĠPalestinian s",
+      "Ġprof itable",
+      "Ġprofit able",
+      "Ġback pack",
+      "en son",
+      "ens on",
+      "enso n",
+      "< Long",
+      "<L ong",
+      "Ġp ools",
+      "Ġpo ols",
+      "Ġpool s",
+      "Ġpoo ls",
+      "Ġ sticks",
+      "Ġs ticks",
+      "Ġst icks",
+      "Ġstick s",
+      "Ġspokes woman",
+      "B eing",
+      "Be ing",
+      "Bei ng",
+      "ĠHer itage",
+      "Ġ Nike",
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+      "BL E",
+      "; }ĊĊ",
+      ";}Ċ Ċ",
+      ";} ĊĊ",
+      "l aunch",
+      "la unch",
+      "_ strings",
+      "_str ings",
+      "_string s",
+      "u go",
+      "ug o",
+      "ĠR PG",
+      "ĠRP G",
+      "- auth",
+      "-a uth",
+      "-aut h",
+      "-au th",
+      "Ð ł",
+      "ho lm",
+      "hol m",
+      "ĠP and",
+      "ĠPan d",
+      "ĠPa nd",
+      "U id",
+      "Ui d",
+      "Ġim ply",
+      "Ġimp ly",
+      "Ġimpl y",
+      "ìľ ¼",
+      "' ]='",
+      "'] ='",
+      "']= '",
+      "/ User",
+      "/U ser",
+      "Ġstr cat",
+      "н Ñĭй",
+      "нÑĭ й",
+      "Data Adapter",
+      "Ġland sc",
+      "Ġlands c",
+      "Ġdipl omatic",
+      "Ġdiplom atic",
+      "Ġdiploma tic",
+      "Ġdiplomat ic",
+      "ï¼ ĵ",
+      "**** ************************************************************************",
+      "**************************************************************** ************",
+      "************************************************************************ ****",
+      "******************** ********************************************************",
+      "**************************** ************************************************",
+      "************************************************ ****************************",
+      "******************************************************** ********************",
+      "************ ****************************************************************",
+      "Ġ Chicken",
+      "ĠCh icken",
+      "ĠChi cken",
+      "ĠChick en",
+      "ĠChic ken",
+      "Ġ bcrypt",
+      "Ġb crypt",
+      "Ġbc rypt",
+      ". Inf",
+      ".I nf",
+      ".In f",
+      "[ col",
+      "[c ol",
+      "Ġ Quantity",
+      "ĠQu antity",
+      "ĠQuant ity",
+      "- position",
+      "-p osition",
+      "-pos ition",
+      "Ġdi etary",
+      "Ġdiet ary",
+      "Ġdieta ry",
+      "Ġfil mm",
+      "Ġfilm m",
+      "Is rael",
+      "P rev",
+      "Pr ev",
+      "Pre v",
+      "ĠM illion",
+      "ĠMill ion",
+      "ĠMil lion",
+      "ĠMilli on",
+      "Ġre med",
+      "Ġr emed",
+      "Ġrem ed",
+      "Ġ billing",
+      "Ġb illing",
+      "Ġbill ing",
+      "Ġbil ling",
+      "Ġout doors",
+      "Ġoutdoor s",
+      ". tm",
+      ".t m",
+      "Ġ nad",
+      "Ġn ad",
+      "Ġna d",
+      "F org",
+      "For g",
+      "Fo rg",
+      "Z Z",
+      "Ġ ssl",
+      "Ġs sl",
+      "Ġss l",
+      "] ,'",
+      "], '",
+      "K T",
+      "f req",
+      "fr eq",
+      "fre q",
+      "= document",
+      "=d ocument",
+      "bl ur",
+      "¬ ¸",
+      "ĠJeff erson",
+      "C s",
+      "( save",
+      "(s ave",
+      "(sa ve",
+      "Ġ strap",
+      "Ġs trap",
+      "Ġst rap",
+      "Ġstr ap",
+      "Ġstra p",
+      "In dia",
+      "Ind ia",
+      "Ġide ology",
+      "B OSE",
+      "BO SE",
+      "Ġ FP",
+      "ĠF P",
+      "( ans",
+      "(a ns",
+      "(an s",
+      "Ġf ever",
+      "Ġfe ver",
+      "ĠY am",
+      "ĠYa m",
+      "K ing",
+      "Kin g",
+      "Ki ng",
+      "à ²",
+      "A TING",
+      "AT ING",
+      "bo hydr",
+      "roll back",
+      "Ġnew Node",
+      "ĠN VIDIA",
+      "Ġhon our",
+      "Ġ Confirm",
+      "ĠCon firm",
+      "ĠConf irm",
+      "x bd",
+      "xb d",
+      "Ġsuccess or",
+      "Ġsucc essor",
+      "/ u",
+      "l iv",
+      "li v",
+      "our naments",
+      "ourn aments",
+      "ournament s",
+      "Att achment",
+      "Attach ment",
+      "Ġg rup",
+      "Ġgr up",
+      "Ġtr ibe",
+      "Ġtri be",
+      "Ġtrib e",
+      "Ġc ares",
+      "Ġcar es",
+      "Ġca res",
+      "Ġcare s",
+      "e ft",
+      "ef t",
+      "_ same",
+      "_s ame",
+      "_sa me",
+      "' label",
+      "'l abel",
+      "Ġ ãĢIJ",
+      "ĠãĢ IJ",
+      "M otor",
+      "Mo tor",
+      "Mot or",
+      "Ġin exp",
+      "Ġine xp",
+      "Ġinex p",
+      "Ġ\" (\"",
+      "Ġ\"( \"",
+      "_ POSITION",
+      "_POS ITION",
+      "Ġv alley",
+      "Ġval ley",
+      "Ġ ResultSet",
+      "ĠResult Set",
+      "Ġp reserved",
+      "Ġpres erved",
+      "Ġpreserve d",
+      "Ġ mutations",
+      "Ġm utations",
+      "Ġmut ations",
+      "Ġmutation s",
+      "Ġquestion ing",
+      "Ġquesti oning",
+      "mun ition",
+      "parse Int",
+      "Ġ Sr",
+      "ĠS r",
+      "Ġ Metadata",
+      "ĠM etadata",
+      "ĠMet adata",
+      "ĠMeta data",
+      "âĢĿ ï¼Į",
+      "timestamp s",
+      "Ġtrans itions",
+      "Ġtransition s",
+      "Ġtransit ions",
+      "í Ļ",
+      "Ñ Ĭ",
+      "i om",
+      "io m",
+      ". Do",
+      ".D o",
+      "Ġ pine",
+      "Ġp ine",
+      "Ġpi ne",
+      "Ġpin e",
+      "Ġ fung",
+      "Ġf ung",
+      "Ġfun g",
+      "Ġfu ng",
+      "Ġtrans mitted",
+      "Ġtransmit ted",
+      "c time",
+      "ct ime",
+      "ĠF am",
+      "ĠFa m",
+      "Re vision",
+      "Rev ision",
+      "B as",
+      "Ba s",
+      "U PER",
+      "UP ER",
+      "D estination",
+      "Dest ination",
+      "toHave BeenCalled",
+      "Ġun fortunate",
+      "I NES",
+      "IN ES",
+      "INE S",
+      "_ prof",
+      "_p rof",
+      "_pro f",
+      "_pr of",
+      "A mong",
+      "Am ong",
+      "ĠCy ber",
+      "Ġ Battery",
+      "ĠB attery",
+      "ĠBat tery",
+      "ĠBatt ery",
+      "ĠBatter y",
+      "gen re",
+      "Ġ ViewModel",
+      "ĠView Model",
+      "- =",
+      "Ġutil ized",
+      "Ġutilize d",
+      "Ġutiliz ed",
+      "p aint",
+      "pa int",
+      "pai nt",
+      "pain t",
+      ". IntegerField",
+      ".Integer Field",
+      "ern ity",
+      "c ompiler",
+      "com piler",
+      "comp iler",
+      "compile r",
+      "âĢĭ ĊĊ",
+      "ĠM asters",
+      "ĠMaster s",
+      "ĠMa sters",
+      "ĠMas ters",
+      "ĠMast ers",
+      ". ToArray",
+      ".To Array",
+      "Ġstr tol",
+      "Ġstrt ol",
+      "ĠUkrain ian",
+      "} ));Ċ",
+      "}) );Ċ",
+      "})) ;Ċ",
+      "Ġsh emale",
+      "Ġshe male",
+      "\" That",
+      "\"T hat",
+      "for all",
+      "/ download",
+      "/d ownload",
+      "/down load",
+      "Ġrhet oric",
+      ". latitude",
+      ".l atitude",
+      ".lat itude",
+      "ĠW HEN",
+      "ĠWH EN",
+      "Ġsh ocking",
+      "Ġshock ing",
+      "IF IC",
+      "IFI C",
+      ". Normal",
+      ".N ormal",
+      "_F OLDER",
+      "Ġd rift",
+      "Ġdr ift",
+      "Ġdri ft",
+      "Ġmo unting",
+      "Ġmount ing",
+      "- book",
+      "-b ook",
+      "-bo ok",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠWire less",
+      "ĠWir eless",
+      "> \".$",
+      ">\" .$",
+      ">\". $",
+      "Ġre lies",
+      "Ġrel ies",
+      "Ġreli es",
+      "Ġrelie s",
+      "( Console",
+      "Int ernational",
+      "Inter national",
+      "Intern ational",
+      "- >{$",
+      "-> {$",
+      "->{ $",
+      "M id",
+      "Mi d",
+      "Ġdis sert",
+      "Ġdiss ert",
+      "Ġdisse rt",
+      "d ds",
+      "dd s",
+      "Ġdeposit s",
+      "Ġdepos its",
+      "ĉ driver",
+      "ĉd river",
+      "# ga",
+      "#g a",
+      "p rising",
+      "pr ising",
+      "pri sing",
+      "print ln",
+      "Ġp resenter",
+      "Ġpres enter",
+      "Ġpresent er",
+      "Ġpresente r",
+      "Ġm ines",
+      "Ġmin es",
+      "Ġmi nes",
+      "Ġmine s",
+      "C SS",
+      "CS S",
+      "Ġ Dual",
+      "ĠD ual",
+      "ĠDu al",
+      "( !(",
+      "(! (",
+      "Ġk am",
+      "Ġka m",
+      "Ġ isLoading",
+      "Ġis Loading",
+      "Ġ Protect",
+      "ĠProt ect",
+      "ĠProte ct",
+      ". upper",
+      ".u pper",
+      ".up per",
+      "a rium",
+      "ar ium",
+      "ari um",
+      "] :ĊĊĊ",
+      "]: ĊĊĊ",
+      "]:Ċ ĊĊ",
+      "]:ĊĊ Ċ",
+      "Y ii",
+      "- shirt",
+      "-sh irt",
+      "Ġ IMAGE",
+      "ĠIM AGE",
+      "_ colors",
+      "_color s",
+      "_col ors",
+      "Ġ urgent",
+      "Ġur gent",
+      "Ġurge nt",
+      "Ġurg ent",
+      ". Container",
+      ".Cont ainer",
+      "! (Ċ",
+      "!( Ċ",
+      "S aturday",
+      "Ġsoc ieties",
+      "Ġsoci eties",
+      "Ġ Than",
+      "ĠT han",
+      "ĠTh an",
+      "Ġ Cod",
+      "ĠC od",
+      "ĠCo d",
+      "= @",
+      "Ġ attachments",
+      "Ġattach ments",
+      "Ġattachment s",
+      ". mobile",
+      ".m obile",
+      ".mob ile",
+      "Ġs pite",
+      "Ġsp ite",
+      "Ġspi te",
+      "Ġspit e",
+      "Ġ bounce",
+      "Ġb ounce",
+      "Ġbo unce",
+      "Ġbou nce",
+      "r awl",
+      "ra wl",
+      "raw l",
+      "instance type",
+      "instanc etype",
+      "ĠTr uck",
+      "ĠTru ck",
+      "Ġmanip ulation",
+      "( Config",
+      "- inst",
+      "-in st",
+      "-i nst",
+      "-ins t",
+      "Ġ stor",
+      "Ġs tor",
+      "Ġst or",
+      "Ġsto r",
+      "it ution",
+      "itu tion",
+      "Preferred Gap",
+      "Ġmain AxisAlignment",
+      "Ġlist ened",
+      "Ġlisten ed",
+      "Ġliste ned",
+      "'' 'ĊĊ",
+      "'''Ċ Ċ",
+      "''' ĊĊ",
+      "ott age",
+      "otta ge",
+      "- project",
+      "-pro ject",
+      ". APPLICATION",
+      ".AP PLICATION",
+      "ĉ root",
+      "ĉr oot",
+      "Ġw hit",
+      "Ġwh it",
+      "Ġ bilder",
+      "Ġb ilder",
+      "Ġbi lder",
+      "Ġbil der",
+      "Ġbild er",
+      "Ġ ker",
+      "Ġk er",
+      "Ġke r",
+      "Ġappl iances",
+      "Ġappliance s",
+      "ro wave",
+      "row ave",
+      "ìĿ Ģ",
+      "em atics",
+      "ema tics",
+      "ematic s",
+      "emat ics",
+      "Ġ Org",
+      "ĠO rg",
+      "ĠOr g",
+      "o ping",
+      "op ing",
+      "opi ng",
+      "_ SEARCH",
+      "_SE ARCH",
+      "Ġc ham",
+      "Ġch am",
+      "Ġcha m",
+      "add ContainerGap",
+      "Ġ ().",
+      "Ġ( ).",
+      "Ġ() .",
+      "Ġ Arrow",
+      "ĠAr row",
+      "ĠArr ow",
+      "Il legal",
+      "Ill egal",
+      "Current ly",
+      "Curr ently",
+      "Ġ usa",
+      "Ġu sa",
+      "Ġus a",
+      "Ġpass words",
+      "Ġpassword s",
+      "Ġre nown",
+      "Ġren own",
+      "a vern",
+      "av ern",
+      "ave rn",
+      "aver n",
+      "ĠE vil",
+      "ĠEv il",
+      "Ġ concat",
+      "Ġcon cat",
+      "Ġconc at",
+      "Ġd uo",
+      "Ġdu o",
+      "Ġ vale",
+      "Ġv ale",
+      "Ġval e",
+      "Ġva le",
+      "Ġ Bean",
+      "ĠB ean",
+      "ĠBe an",
+      "ĠBea n",
+      "Ġind icators",
+      "Ġindic ators",
+      "Ġindicator s",
+      "Ġindica tors",
+      "c math",
+      "cm ath",
+      "ĠP ump",
+      "ĠPu mp",
+      "Nov ember",
+      "ific ant",
+      "ifi cant",
+      "ifica nt",
+      "_ DOMAIN",
+      "_DO MAIN",
+      "_DOM AIN",
+      "re gar",
+      "reg ar",
+      "rega r",
+      "Ġ Portal",
+      "ĠP ortal",
+      "ĠPort al",
+      "ĠPor tal",
+      "\" $",
+      "Ġ formerly",
+      "Ġformer ly",
+      "\" ]:Ċ",
+      "\"] :Ċ",
+      "\"]: Ċ",
+      "Ġ Visibility",
+      "ĠVis ibility",
+      ".getElementsBy ClassName",
+      "_ RED",
+      "_RE D",
+      "_R ED",
+      "Ġch ampions",
+      "Ġchampion s",
+      "Ġchamp ions",
+      "à ´",
+      "Val or",
+      "Va lor",
+      "_ es",
+      "_e s",
+      "* a",
+      "- repeat",
+      "-re peat",
+      "B and",
+      "Ban d",
+      "Ba nd",
+      ". stage",
+      ".st age",
+      "Ġbure auc",
+      "Ġbureau c",
+      "C nt",
+      "e ten",
+      "et en",
+      "ete n",
+      "- function",
+      "-f unction",
+      "Ġm uito",
+      "Ġmu ito",
+      "Ġmuit o",
+      "P ID",
+      "PI D",
+      "_ editor",
+      "_e ditor",
+      "_edit or",
+      "_ed itor",
+      "Ġcr ashed",
+      "Ġcrash ed",
+      "Ġcra shed",
+      "d ead",
+      "de ad",
+      "dea d",
+      "k at",
+      "ka t",
+      "a gh",
+      "ag h",
+      "Ġ EXT",
+      "ĠE XT",
+      "ĠEX T",
+      "as ser",
+      "ass er",
+      "asse r",
+      "- small",
+      "-s mall",
+      "-sm all",
+      "Ġre aliz",
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+      "_ fs",
+      "_f s",
+      ". datas",
+      ".d atas",
+      ".data s",
+      ".dat as",
+      ".da tas",
+      "ĉ ss",
+      "ĉs s",
+      "v oir",
+      "vo ir",
+      "Ġ Axis",
+      "ĠA xis",
+      "ĠAx is",
+      "M ajor",
+      "= \"<",
+      "=\" <",
+      "[ h",
+      "Ġprof ess",
+      "Ġprofes s",
+      "ig rate",
+      "igr ate",
+      "( score",
+      "(s core",
+      "(sc ore",
+      "Key word",
+      "\" os",
+      "ĠĠ ĠĠĉĊ",
+      "ĠĠĠĠ ĉĊ",
+      "ĠĠĠ ĠĉĊ",
+      "ĠĠĠĠĉ Ċ",
+      "an alysis",
+      "analy sis",
+      "anal ysis",
+      "Ġre play",
+      "Ġrep lay",
+      "Ġrepl ay",
+      ". pass",
+      ".p ass",
+      ".pa ss",
+      "\\ d",
+      "t ls",
+      "tl s",
+      "Ġsan ct",
+      ". light",
+      ".l ight",
+      ".li ght",
+      "_ mobile",
+      "_m obile",
+      "_mob ile",
+      "Ñģ ÑĤÑĮ",
+      "ÑģÑĤ ÑĮ",
+      "ĉ total",
+      "ĉt otal",
+      "ĉto tal",
+      "u ity",
+      "ui ty",
+      "uit y",
+      "Ġ paused",
+      "Ġpa used",
+      "Ġpause d",
+      "Ġpau sed",
+      "N AS",
+      "NA S",
+      "Ġen core",
+      "Ġenc ore",
+      "l oe",
+      "lo e",
+      "Ġ-* -ĊĊ",
+      "Ġ-*- ĊĊ",
+      "Ġ-*-Ċ Ċ",
+      ". high",
+      ".h igh",
+      "am pler",
+      "amp ler",
+      "ample r",
+      "Ġ Secure",
+      "ĠS ecure",
+      "ĠSec ure",
+      "Ġf ragments",
+      "Ġfra gments",
+      "Ġfrag ments",
+      "Ġfragment s",
+      "_ vel",
+      "_v el",
+      "_ve l",
+      "ill ary",
+      "illa ry",
+      "ĠS tein",
+      "ĠSt ein",
+      "ĠSte in",
+      "ĠD awn",
+      "ĠDa wn",
+      "ĠDaw n",
+      "Ġmax imize",
+      "Ġmaxim ize",
+      "ภ¢",
+      "Ġ /^",
+      "Ġ/ ^",
+      "Ġcontin ually",
+      "Ġcontinu ally",
+      "Ġcontinual ly",
+      "Ġsh adows",
+      "Ġshadow s",
+      "ĉ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠI ActionResult",
+      "Ġinform ación",
+      "C HECK",
+      "CHE CK",
+      ". SelectedItem",
+      ".Selected Item",
+      "b undle",
+      "ol ley",
+      "oll ey",
+      "olle y",
+      "< Int",
+      "<I nt",
+      "AIN ER",
+      "AI NER",
+      "ĠW ing",
+      "ĠWin g",
+      "ĠWi ng",
+      "t itles",
+      "title s",
+      "tit les",
+      "ount ain",
+      "oun tain",
+      "C Y",
+      "Ġ Locale",
+      "ĠL ocale",
+      "ĠLo cale",
+      "ĠLocal e",
+      "ĠLoc ale",
+      "form er",
+      "for mer",
+      "forme r",
+      "< context",
+      "R adioButton",
+      "Radio Button",
+      "_ schedule",
+      "_s chedule",
+      "_sched ule",
+      "Ġfab ulous",
+      "Rob ert",
+      "Ro bert",
+      "_ PROFILE",
+      "_PRO FILE",
+      "_PROF ILE",
+      "Ġg ates",
+      "Ġga tes",
+      "Ġgate s",
+      "I MP",
+      "IM P",
+      "ĠPent agon",
+      "g old",
+      "go ld",
+      "b ach",
+      "ba ch",
+      "bac h",
+      "employ ees",
+      "employee s",
+      "R otate",
+      "Rot ate",
+      "Ġch amp",
+      "Ġcha mp",
+      "Ġcham p",
+      "Ġsel bst",
+      "Al tern",
+      "Alt ern",
+      "Alter n",
+      "Ġ convertView",
+      "Ġconvert View",
+      "/ ,",
+      "Ġ~ (",
+      "St reet",
+      "_ place",
+      "_p lace",
+      "_pl ace",
+      "Ġpersonal ized",
+      "Ġpersonalize d",
+      "P ublisher",
+      "Publish er",
+      "ĠS OCK",
+      "ĠSO CK",
+      "ĠSOC K",
+      "_ NAMESPACE",
+      "_N AMESPACE",
+      "_NAME SPACE",
+      "_NAMES PACE",
+      "ĠStandard s",
+      "ĠStand ards",
+      "so ever",
+      "_ CENTER",
+      "_C ENTER",
+      "Inter est",
+      "ô t",
+      "t emperature",
+      "tem perature",
+      "View port",
+      "get Resource",
+      "Ġe aten",
+      "Ġeat en",
+      "Ġea ten",
+      "Ġs empre",
+      "Ġsem pre",
+      "Ġsemp re",
+      "Ġab normal",
+      "Ġc ylinder",
+      "Ġcyl inder",
+      "Ġtr oubles",
+      "Ġtrouble s",
+      "Ġtroub les",
+      "Ġtrou bles",
+      "n od",
+      "no d",
+      "Ñĭ в",
+      "g ames",
+      "game s",
+      "ga mes",
+      "gam es",
+      "_ gl",
+      "_g l",
+      "P lane",
+      "Pl ane",
+      "Plan e",
+      "g rey",
+      "gr ey",
+      "gre y",
+      "_ tbl",
+      "_t bl",
+      "_tb l",
+      ".Component Placement",
+      "ĠCh ase",
+      "ĠCha se",
+      "Log ging",
+      "m any",
+      "man y",
+      "ma ny",
+      "ì Ĩ",
+      "Ġfl ame",
+      "Ġflam e",
+      "Ġfla me",
+      "=\" <?=$",
+      "=\"<? =$",
+      "=\"<?= $",
+      "Ġ Groups",
+      "ĠG roups",
+      "ĠGroup s",
+      "ĠGro ups",
+      "- U",
+      "ÑĢ ан",
+      "ÑĢаР½",
+      "ÑĢа н",
+      "Ċ ĊĊĊĊĊĊ",
+      "ĊĊ ĊĊĊĊĊ",
+      "ĊĊĊĊ ĊĊĊ",
+      "ĊĊĊ ĊĊĊĊ",
+      "ĊĊĊĊĊĊ Ċ",
+      "ĊĊĊĊĊ ĊĊ",
+      "Ġ vault",
+      "Ġv ault",
+      "Ġva ult",
+      "o mon",
+      "om on",
+      "omo n",
+      "pro blem",
+      "prob lem",
+      "Ġtr aders",
+      "Ġtrad ers",
+      "Ġtrade rs",
+      "Ġtra ders",
+      "Ġtrader s",
+      "Ġper ipheral",
+      "Ġ homepage",
+      "Ġhome page",
+      "( des",
+      "(d es",
+      "(de s",
+      "Ġ Successfully",
+      "ĠSuccess fully",
+      "ĠSuccessful ly",
+      "Ġre boot",
+      "Ġreb oot",
+      "Ġc ellular",
+      "Ġcell ular",
+      "Ġcellul ar",
+      "i ii",
+      "ii i",
+      "Ġ Plans",
+      "ĠPl ans",
+      "ĠPlan s",
+      "ĠPla ns",
+      "l isting",
+      "list ing",
+      "lis ting",
+      "ĉ dis",
+      "ĉd is",
+      "Ġ Reflect",
+      "ĠRef lect",
+      "ĉ except",
+      "ĉex cept",
+      "\" )(",
+      "\") (",
+      "Ġtamb ém",
+      "V ehicle",
+      "a cci",
+      "ac ci",
+      "acc i",
+      "l ush",
+      "lu sh",
+      "lus h",
+      "Order By",
+      "Ġimag ined",
+      "Ġimagine d",
+      "Ġimagin ed",
+      "co dec",
+      "code c",
+      "cod ec",
+      "Ġ dateTime",
+      "Ġdate Time",
+      "M icro",
+      "Mi cro",
+      "Mic ro",
+      "Ġrem inds",
+      "Ġremind s",
+      "Ġremin ds",
+      "Ġfrustr ating",
+      "ĠV ista",
+      "ĠVis ta",
+      "ĠVi sta",
+      "T rain",
+      "Tr ain",
+      "Tra in",
+      "Ġв Ñģ",
+      "Ġm olecules",
+      "Ġmolec ules",
+      "Ġmolecule s",
+      "a vin",
+      "av in",
+      "avi n",
+      "Ġdouble d",
+      "Ġdoub led",
+      "Ġdou bled",
+      "Ġbr ake",
+      "Ġbra ke",
+      "Ġcalc ium",
+      "F riday",
+      "Fr iday",
+      "Fri day",
+      "Ġ Identifier",
+      "ĠId entifier",
+      "ĠIdent ifier",
+      "å Ł",
+      "Ñĭ й",
+      "ĠJ ah",
+      "ĠJa h",
+      "R en",
+      "Re n",
+      "Ġs cam",
+      "Ġsc am",
+      "Ġsca m",
+      "ĠD ennis",
+      "ĠDen nis",
+      "ĠDenn is",
+      ".set Int",
+      "â Ł",
+      "Ġappe als",
+      "Ġappeal s",
+      "ĠA ur",
+      "ĠAu r",
+      "Ġ splash",
+      "Ġs plash",
+      "Ġsp lash",
+      "Ġspl ash",
+      "equals IgnoreCase",
+      "w hy",
+      "wh y",
+      "Ġ sap",
+      "Ġs ap",
+      "Ġsa p",
+      "S upported",
+      "Support ed",
+      "Sup ported",
+      "Ġs era",
+      "Ġse ra",
+      "Ġser a",
+      "Ġ :\"",
+      "Ġ: \"",
+      "ĠVer mont",
+      "ĠVerm ont",
+      "Ġre un",
+      "Ġ Nova",
+      "ĠN ova",
+      "ĠNo va",
+      "ĠNov a",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĊĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĊĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĊ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "R ated",
+      "Rate d",
+      "Ra ted",
+      "Ġl aying",
+      "Ġla ying",
+      "Ġlay ing",
+      "Ġ Karen",
+      "ĠK aren",
+      "ĠKar en",
+      "ĠKa ren",
+      "ĠKare n",
+      ". Deserialize",
+      ".De serialize",
+      ".Des erialize",
+      "Ġ codec",
+      "Ġco dec",
+      "Ġcode c",
+      "Ġcod ec",
+      "Ġtaxp ayers",
+      "Ġtaxpayer s",
+      "; \");Ċ",
+      ";\" );Ċ",
+      "Ġcr ude",
+      "Ġcru de",
+      "Ġcrud e",
+      "Ġm ole",
+      "Ġmo le",
+      "Ġmol e",
+      "Ġuse Context",
+      "ĉ resp",
+      "ĉr esp",
+      "ĉres p",
+      "ĉre sp",
+      "Ġ pkt",
+      "Ġp kt",
+      "Ġpk t",
+      "Ġ Cannot",
+      "ĠC annot",
+      "ĠCan not",
+      "ĠCann ot",
+      "P ipeline",
+      "Pipe line",
+      "åĨ Ĩ",
+      "t ical",
+      "ti cal",
+      "tic al",
+      "tica l",
+      "Action Bar",
+      "a eda",
+      "ae da",
+      "aed a",
+      "Ġ Critical",
+      "ĠC ritical",
+      "ĠCr itical",
+      "ĠCrit ical",
+      "ĠCri tical",
+      "ĠN ad",
+      "ĠNa d",
+      "Ġble eding",
+      "Ġbleed ing",
+      "Ġ llvm",
+      "Ġll vm",
+      "/ custom",
+      "/c ustom",
+      "ĠSim pson",
+      "S y",
+      "it ably",
+      "ĠSum mit",
+      "( ))).",
+      "() )).",
+      "()) ).",
+      "())) .",
+      "EL LOW",
+      "ELL OW",
+      "$ ',",
+      "M et",
+      "Me t",
+      "In voice",
+      "Inv oice",
+      "o list",
+      "ol ist",
+      "oli st",
+      "olis t",
+      "Ġs pine",
+      "Ġsp ine",
+      "Ġspin e",
+      "Ġspi ne",
+      "aut iful",
+      "p aid",
+      "pa id",
+      "pai d",
+      "Ġ locker",
+      "Ġl ocker",
+      "Ġlo cker",
+      "Ġloc ker",
+      "Ġlock er",
+      "_ arm",
+      "_a rm",
+      "_ar m",
+      "\\ \"><",
+      "\\\" ><",
+      "\\\"> <",
+      "Ġ trajectory",
+      "Ġtra jectory",
+      "_ ring",
+      "_r ing",
+      "Ġhydro gen",
+      "Ġhydr ogen",
+      "t ron",
+      "tr on",
+      "tro n",
+      "Ġstat ute",
+      "Ġ conditional",
+      "Ġcondition al",
+      "Ġcond itional",
+      "Ġt ray",
+      "Ġtr ay",
+      "Ġtra y",
+      "- school",
+      "-s chool",
+      "( widget",
+      "(w idget",
+      "$ config",
+      "$con fig",
+      "Ġrequest ing",
+      "Ġrequ esting",
+      ". uint",
+      ".ui nt",
+      ".u int",
+      "e ton",
+      "et on",
+      "eto n",
+      "br ities",
+      "brit ies",
+      "Of Type",
+      "A DMIN",
+      "AD MIN",
+      "ADM IN",
+      "p redict",
+      "pre dict",
+      "pred ict",
+      "Ġg egen",
+      "Ġge gen",
+      "Ġgeg en",
+      "ĠH app",
+      "ĠHa pp",
+      "OC UMENT",
+      "Ġ Apart",
+      "ĠA part",
+      "ĠAp art",
+      "Ġ -----",
+      "Ġ- ----",
+      "Ġ-- ---",
+      "Ġ---- -",
+      "Ġ--- --",
+      "r oe",
+      "ro e",
+      "u ide",
+      "ui de",
+      "uid e",
+      "just ify",
+      "ĠS quad",
+      "ĠSqu ad",
+      "Ġprof es",
+      ". bot",
+      ".b ot",
+      ".bo t",
+      "_ currency",
+      "_c urrency",
+      "_curr ency",
+      "i nnen",
+      "in nen",
+      "inn en",
+      "inne n",
+      "ĠM umbai",
+      "ĠMum bai",
+      "Ġ Numbers",
+      "ĠNumber s",
+      "ĠNum bers",
+      "avana ugh",
+      "agn itude",
+      "âĢľ There",
+      "âĢľThe re",
+      "= http",
+      "=h ttp",
+      "çī ĩ",
+      "Ġ vb",
+      "Ġv b",
+      "+ '</",
+      "+' </",
+      "Ġorgan izing",
+      "Ġorganiz ing",
+      "an ium",
+      "ani um",
+      "aniu m",
+      "In Section",
+      ". and",
+      ".a nd",
+      ".an d",
+      "Ġe ternal",
+      "Ġet ernal",
+      "Ġso uls",
+      "Ġsou ls",
+      "Ġsoul s",
+      "_ ONE",
+      "_O NE",
+      "_ON E",
+      "_ ns",
+      "_n s",
+      "_ basic",
+      "_b asic",
+      "Ġret Val",
+      "-sh aped",
+      "if def",
+      "Ġ Mozilla",
+      "ĠM ozilla",
+      "ĠMo zilla",
+      "ĠMoz illa",
+      "Ġe ig",
+      "Ġei g",
+      "com pleted",
+      "comp leted",
+      "complete d",
+      "Not ifications",
+      "Notification s",
+      "T ECT",
+      "TE CT",
+      "r ien",
+      "ri en",
+      "rie n",
+      "co ordinates",
+      "coordinate s",
+      "Ġpret end",
+      "pons ored",
+      "ponsor ed",
+      ". stderr",
+      ".std err",
+      "Ġgame rs",
+      "Ġgam ers",
+      "Ġga mers",
+      "Ġgamer s",
+      "Ġdef ended",
+      "Ġdefend ed",
+      "Tool Tip",
+      "u itar",
+      "ui tar",
+      "uit ar",
+      "Ġfr anca",
+      "Ġfran ca",
+      "Ġfranc a",
+      "ĠW oods",
+      "ĠWood s",
+      "ĠWo ods",
+      "ĠWoo ds",
+      "Ġih re",
+      "Ġihr e",
+      "Ġ pseudo",
+      "Ġp seudo",
+      "Ġpseud o",
+      "Ġcrow ds",
+      "Ġcrowd s",
+      "Ġ SYSTEM",
+      "ĠS YSTEM",
+      "ĠSY STEM",
+      "ĠSYS TEM",
+      "l ec",
+      "le c",
+      ".k eras",
+      ".ke ras",
+      "Ġcirc ulation",
+      "e er",
+      "ee r",
+      ". cb",
+      ".c b",
+      "uz zy",
+      "uzz y",
+      "í ĺ",
+      ". reader",
+      ".re ader",
+      ".read er",
+      "Ġse quel",
+      "Ġsequ el",
+      "Ġseq uel",
+      "Se veral",
+      ". portal",
+      ".p ortal",
+      ".port al",
+      "- ----Ċ",
+      "-- ---Ċ",
+      "---- -Ċ",
+      "--- --Ċ",
+      "----- Ċ",
+      "i strar",
+      "ist rar",
+      "istr ar",
+      "istra r",
+      " //",
+      "P i",
+      "Ġ \\\"\"",
+      "Ġ\\ \"\"",
+      "Ġ\\\" \"",
+      "Ġcustom s",
+      "Ġcust oms",
+      "Ġ displayName",
+      "Ġdisplay Name",
+      "Ġnot ices",
+      "Ġnotice s",
+      "Ġc arb",
+      "Ġcar b",
+      "Ġca rb",
+      ". _ĊĊ",
+      "._ ĊĊ",
+      "._Ċ Ċ",
+      "Ġ producto",
+      "Ġproduct o",
+      "Ġ Ñģл",
+      "ĠÑģ л",
+      "Ġnumer ical",
+      "Ġnumeric al",
+      "Ġun int",
+      "Ġuni nt",
+      "Ġunin t",
+      "Ġ codigo",
+      "Ġc odigo",
+      "Ġcod igo",
+      "Ord inal",
+      "String Utils",
+      "StringUtil s",
+      "Ġd éc",
+      "Ġdé c",
+      "ĠL an",
+      "ĠLa n",
+      "Ġshow case",
+      "Ġshowc ase",
+      "Ġar ithmetic",
+      "- scroll",
+      "-s croll",
+      "-sc roll",
+      "_ TEMPLATE",
+      "_T EMPLATE",
+      "Ġ RouterModule",
+      "ĠRouter Module",
+      "Ġ Shader",
+      "ĠSh ader",
+      "ĠSha der",
+      "ĠShade r",
+      "Ġ ÐĿ",
+      "ĠÐ Ŀ",
+      "p olicy",
+      "pol icy",
+      "Per formance",
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+      "Ġ*/ ,",
+      "Ġred und",
+      "Ġredu nd",
+      "ĠA ber",
+      "ĠAb er",
+      "ĠAbe r",
+      ".IsNullOr WhiteSpace",
+      "yc led",
+      "ycle d",
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+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
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+      "_S h",
+      "Ġs kept",
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+      "Ġske pt",
+      "Ġre created",
+      "Ġrec reated",
+      "Ġrecre ated",
+      "Ġrecreate d",
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+      "Ġget Type",
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+      "Ġmarg ins",
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+      "ch arts",
+      "char ts",
+      "cha rts",
+      "chart s",
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+      "_x path",
+      ". skip",
+      ".s kip",
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+      "ĠMor mon",
+      "ĠMorm on",
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+      "CRE MENT",
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+      "Ġk u",
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+      "ĠK ernel",
+      "ĠKer nel",
+      "ĠKern el",
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+      "il tr",
+      "ilt r",
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+      "Ġad visor",
+      "Ġadv isor",
+      "Ġadvis or",
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+      "ier ung",
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+      "Ġteenage rs",
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+      ". LatLng",
+      ".L atLng",
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+      "]() Ċ",
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+      "Ġfelon y",
+      "ĉĉĉ ĊĉĉĉĊ",
+      "ĉĉĉĊ ĉĉĉĊ",
+      "B OOK",
+      "BO OK",
+      "Ġ slash",
+      "Ġs lash",
+      "Ġsl ash",
+      "Ġsla sh",
+      "Ġ clearfix",
+      "Ġclear fix",
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+      "Ġ artifact",
+      "Ġart ifact",
+      "_ EMPTY",
+      "_EM PTY",
+      "_EMP TY",
+      "ĉ main",
+      "ĉm ain",
+      "--- ----------</",
+      "------------ -</",
+      "---------- ---</",
+      "------------- </",
+      "--------- ----</",
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+      "/stat ic",
+      "IT IES",
+      "ĠC ounsel",
+      "ĠCoun sel",
+      "Ġ WC",
+      "ĠW C",
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+      "ĠBL ACK",
+      "- system",
+      "-s ystem",
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+      "ĠTri ple",
+      "ĠTrip le",
+      ". bt",
+      ".b t",
+      "s oftware",
+      "so ftware",
+      "soft ware",
+      "] ').",
+      "]' ).",
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+      "Inject ion",
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+      "_n otify",
+      "_not ify",
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+      "Ġamb assador",
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+      "URI Component",
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+      ".get Status",
+      ".getS tatus",
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+      "ĠKe nya",
+      "ĠKen ya",
+      "å· ²",
+      "Ġam munition",
+      "×ķ ×",
+      "Ġ Dash",
+      "ĠD ash",
+      "ĠDa sh",
+      "ĠDas h",
+      "Ġunder go",
+      "Ġb uddy",
+      "Ġbu ddy",
+      "Ġbudd y",
+      "Ġbud dy",
+      "ÑĤ оÑĢ",
+      "ÑĤо ÑĢ",
+      "et ically",
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+      "etical ly",
+      "_ Out",
+      "_O ut",
+      "ĠBroad way",
+      "ª Į",
+      "ĠF itz",
+      "ĠFit z",
+      "ĠFi tz",
+      "Ġstr ipped",
+      "Ġstri pped",
+      "Ġstrip ped",
+      "- cache",
+      "-c ache",
+      "-ca che",
+      "Ġ umb",
+      "Ġu mb",
+      "Ġum b",
+      "Ġa nom",
+      "Ġan om",
+      "Ġano m",
+      "Ġ siblings",
+      "Ġs iblings",
+      "Ġsi blings",
+      "Ġsibling s",
+      "ocument ed",
+      "ocu mented",
+      "Interrupt edException",
+      "Ġ peng",
+      "Ġp eng",
+      "Ġpe ng",
+      "Ġpen g",
+      "l st",
+      "ls t",
+      "_ ALIGN",
+      "_AL IGN",
+      "- cap",
+      "-c ap",
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+      "cel ls",
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+      "ĠMo tors",
+      "ĠMotor s",
+      "ĠMot ors",
+      "ĠMoto rs",
+      "Ġ translations",
+      "Ġtrans lations",
+      "Ġtransl ations",
+      "Ġtranslation s",
+      "us tering",
+      "ust ering",
+      "uster ing",
+      "uste ring",
+      "é ļ",
+      "Ġle aks",
+      "Ġleak s",
+      "file Path",
+      "Ġout going",
+      "_ endpoint",
+      "_end point",
+      "_ GL",
+      "_G L",
+      ".l iferay",
+      ".life ray",
+      "r icht",
+      "ri cht",
+      "ric ht",
+      "rich t",
+      "Ġ OpenGL",
+      "ĠOpen GL",
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+      "Ġaff ection",
+      "Ġaffect ion",
+      "Ġaf fection",
+      "f lux",
+      "fl ux",
+      "flu x",
+      "Ġ gly",
+      "Ġg ly",
+      "Ġgl y",
+      "Ġ bud",
+      "Ġb ud",
+      "Ġbu d",
+      "> ';",
+      ">' ;",
+      "Ġexp ressing",
+      "Ġexpress ing",
+      "Ġexpres sing",
+      "Ġ IQ",
+      "ĠI Q",
+      "Ġ Fact",
+      "ĠF act",
+      "ĠFac t",
+      "ĠFa ct",
+      "/************************************************************************ *******Ċ",
+      "/**************************************************************************** ***Ċ",
+      "_ mass",
+      "_m ass",
+      "_ma ss",
+      "_mas s",
+      ") ):",
+      ")) :",
+      "Ġcon dom",
+      "Ġcond om",
+      "Ġcondo m",
+      "Ġcreate State",
+      "ome town",
+      "omet own",
+      "Ġi rr",
+      "Ġir r",
+      "Ġ >(",
+      "Ġ> (",
+      "> B",
+      "it eration",
+      "ite ration",
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+      "Ġsh irts",
+      "Ġshirt s",
+      "ou nty",
+      "ount y",
+      "oun ty",
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+      "-> $",
+      "_ SIGN",
+      "_S IGN",
+      "_SIG N",
+      "_SI GN",
+      "ĠD ale",
+      "ĠDa le",
+      "ĠDal e",
+      "Ġ jj",
+      "Ġj j",
+      "E asy",
+      "F re",
+      "Fr e",
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+      "ĠN y",
+      "Ġ chlor",
+      "Ġch lor",
+      "m atched",
+      "match ed",
+      "mat ched",
+      "ĠG erm",
+      "ĠGe rm",
+      "ĠGer m",
+      "- UA",
+      "-U A",
+      "ĠN athan",
+      "ĠNa than",
+      "ĠNat han",
+      "ĠNath an",
+      "e ducation",
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+      "ho uses",
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+      "hou ses",
+      "r itional",
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+      "rition al",
+      "Ġpro ximity",
+      "Ġprox imity",
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+      "Ġdiese m",
+      "áºŃ p",
+      "Ġd rought",
+      "Ġdr ought",
+      "Ġdro ught",
+      ". audio",
+      ".a udio",
+      ".au dio",
+      "Ġ Leo",
+      "ĠL eo",
+      "ĠLe o",
+      "Ġfavor able",
+      "Ġfav orable",
+      "in ch",
+      "inc h",
+      "ĠD aw",
+      "ĠDa w",
+      "r ibly",
+      "rib ly",
+      "_ student",
+      "_st udent",
+      "id able",
+      "ida ble",
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+      "Ġl acks",
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+      "Ġlack s",
+      "Ġlac ks",
+      "oun cing",
+      "ounc ing",
+      ". business",
+      ".b usiness",
+      ".bus iness",
+      "Ġ reopen",
+      "Ġre open",
+      "m aybe",
+      "may be",
+      "_ GLOBAL",
+      "_G LOBAL",
+      "Ġd resses",
+      "Ġdr esses",
+      "Ġdress es",
+      "ĠEd wards",
+      "ĠEdward s",
+      "ens ible",
+      "ensi ble",
+      "Ġ Hardware",
+      "ĠH ardware",
+      "ĠHard ware",
+      "Ġ Excellent",
+      "ĠEx cellent",
+      "ĠExcell ent",
+      "ĠTime Unit",
+      "CT IONS",
+      "CTION S",
+      "Ġs chedules",
+      "Ġsched ules",
+      "Ġschedule s",
+      "Ġ segue",
+      "Ġse gue",
+      "Ġseg ue",
+      "Ġsegu e",
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+      "Op ens",
+      "am men",
+      "amm en",
+      "- Identifier",
+      "Ġst aring",
+      "Ġstar ing",
+      "Ġsta ring",
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+      "ĠH ob",
+      "ĠHo b",
+      "' _",
+      "Ġ \");",
+      "Ġ\" );",
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+      "etc hed",
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+      "Ġ/> }Ċ",
+      "Ġ/>} Ċ",
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+      "Ġinter rupted",
+      "Ġinterrupt ed",
+      "Cont acts",
+      "Contact s",
+      "Conta cts",
+      "Ġ registro",
+      "Ġreg istro",
+      "Ġregistr o",
+      "Ġregist ro",
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+      "_L AST",
+      "_LA ST",
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+      "ĠCh arge",
+      "ĠChar ge",
+      "ĠCharg e",
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+      "_g uard",
+      "C ollider",
+      "Col lider",
+      "Coll ider",
+      "ĠStateless Widget",
+      "\" :[\"",
+      "\": [\"",
+      "\":[ \"",
+      "(\" ../../",
+      "(\"../ ../",
+      "(\".. /../",
+      "i oxide",
+      "iox ide",
+      "ioxid e",
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+      "ĠSu nd",
+      "Ġ' ';",
+      "Ġ'' ;",
+      "un set",
+      "uns et",
+      "add Widget",
+      "л Ñİ",
+      "el les",
+      "ell es",
+      "elle s",
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+      "alk er",
+      "A rc",
+      "Ar c",
+      "Ġd educt",
+      "Ġde duct",
+      "Ġded uct",
+      "G UILayout",
+      "GUI Layout",
+      "ĠV illa",
+      "ĠVi lla",
+      "ĠVill a",
+      "ĠVil la",
+      "Ġfor bidden",
+      "Ġforb idden",
+      "Ġforbid den",
+      "_ where",
+      "_w here",
+      "_wh ere",
+      "Ġ \\/",
+      "Ġ\\ /",
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+      "ĠTi b",
+      "_ AX",
+      "_A X",
+      "] čĊčĊ",
+      "]čĊ čĊ",
+      "Ġ Bir",
+      "ĠB ir",
+      "ĠBi r",
+      "Ġb end",
+      "Ġbe nd",
+      "Ġben d",
+      "Ġ MAKE",
+      "ĠM AKE",
+      "ĠMA KE",
+      "ĠMAK E",
+      "Ġ MET",
+      "ĠM ET",
+      "ĠME T",
+      "Ġf utures",
+      "Ġfuture s",
+      "Ġfut ures",
+      "Ġfu tures",
+      "Ġ weighted",
+      "Ġwe ighted",
+      "Ġweight ed",
+      "Ġweigh ted",
+      "\"\" \"čĊ",
+      "\"\"\" čĊ",
+      "Ġ authorize",
+      "Ġauthor ize",
+      "( program",
+      "(p rogram",
+      "(pro gram",
+      "(pr ogram",
+      "(prog ram",
+      "} ,{\"",
+      "}, {\"",
+      "},{ \"",
+      "Ġcoeff icients",
+      "Ġcoefficient s",
+      "ê s",
+      "Per Page",
+      "ĠB athroom",
+      "ĠBath room",
+      "ĠPublish ing",
+      "G PL",
+      "GP L",
+      "Ġsub missions",
+      "Ġsubmission s",
+      "Ġ NUMBER",
+      "ĠNUM BER",
+      "ĠNU MBER",
+      "j Äħ",
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+      "Ġadditional ly",
+      "Ġaddition ally",
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+      "_e c",
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+      "ĠĊ ĠĠĠĠĊ",
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+      "ĠFel low",
+      "ĠFell ow",
+      "Ġk ay",
+      "Ġka y",
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+      "ONT AL",
+      "Im plementation",
+      "Implement ation",
+      ". Look",
+      ".L ook",
+      ".Lo ok",
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+      "Ġe nts",
+      "Ġen ts",
+      "Ġent s",
+      "Ġl ors",
+      "Ġlo rs",
+      "Ġlor s",
+      "Ġ BIG",
+      "ĠB IG",
+      "ĠBI G",
+      "f ab",
+      "fa b",
+      "Ġaverage d",
+      "Ġaver aged",
+      "Ġ Feedback",
+      "ĠFe edback",
+      "ĠFeed back",
+      "ĠW ells",
+      "ĠWell s",
+      "ĠWel ls",
+      "Ġm artial",
+      "Ġmart ial",
+      "Ġind ul",
+      "Ġindu l",
+      "ĠComm unist",
+      "ĠCommun ist",
+      "ĠF orex",
+      "ĠFor ex",
+      "ĠFore x",
+      "ĠFo rex",
+      "ĠAgricult ure",
+      "ĠAgr iculture",
+      "\" [",
+      "Ġqu ar",
+      "Ġq uar",
+      "Ġqua r",
+      "ĠK ont",
+      "ĠKon t",
+      "ĠKo nt",
+      "ĉ view",
+      "ĉv iew",
+      ". Bytes",
+      ".Byte s",
+      ".By tes",
+      "d esktop",
+      "des ktop",
+      "desk top",
+      "Ġ Makes",
+      "ĠM akes",
+      "ĠMake s",
+      "ĠMa kes",
+      "ĠMak es",
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+      ". Nullable",
+      ".Null able",
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+      "ow y",
+      "( torch",
+      "(t orch",
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+      "_ bounds",
+      "_b ounds",
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+      "ou pper",
+      "oup per",
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+      ".m etro",
+      ".me tro",
+      ".met ro",
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+      "Ġe w",
+      "Ġ WORD",
+      "ĠW ORD",
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+      ".A fter",
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+      "Ġdetain ed",
+      "ĠH ammer",
+      "ĠHam mer",
+      "ĠHamm er",
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+      "exist ing",
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+      "Ġo st",
+      "Ġos t",
+      "Ġmon ument",
+      "- custom",
+      "-c ustom",
+      "User ID",
+      "Ġ Nom",
+      "ĠN om",
+      "ĠNo m",
+      "Ġre jection",
+      "Ġreject ion",
+      "Ġrej ection",
+      "( dim",
+      "(d im",
+      "(di m",
+      "Ġ singleton",
+      "Ġs ingleton",
+      "Ġsingle ton",
+      "Ġsing leton",
+      "ĉ die",
+      "ĉd ie",
+      "ar iance",
+      "ari ance",
+      "arian ce",
+      "aria nce",
+      "re ports",
+      "rep orts",
+      "report s",
+      "repo rts",
+      "] !=",
+      "e lda",
+      "el da",
+      "eld a",
+      "Ġpreval ence",
+      "_ regs",
+      "_re gs",
+      "_reg s",
+      ". \".",
+      ".\" .",
+      "Ġfemin ist",
+      "Code c",
+      "Co dec",
+      "Cod ec",
+      "Ġ **Ċ",
+      "Ġ* *Ċ",
+      "Ġ** Ċ",
+      "( labels",
+      "(label s",
+      "_ MARK",
+      "_M ARK",
+      "_MA RK",
+      "FA ILED",
+      "FAIL ED",
+      "Ġadminister ed",
+      "W N",
+      "ĠĠ ĠĠĠĠĠĠĉĉ",
+      "ĠĠĠĠ ĠĠĠĠĉĉ",
+      "ĠĠĠĠĠĠĠĠ ĉĉ",
+      "ĠĠĠĠĠĠĠ Ġĉĉ",
+      "ĠĠĠĠĠ ĠĠĠĉĉ",
+      "ĠĠĠĠĠĠ ĠĠĉĉ",
+      "ĠĠĠĠĠĠĠĠĉ ĉ",
+      "Ġ noun",
+      "Ġn oun",
+      "Ġno un",
+      "Ġnou n",
+      "w ig",
+      "wi g",
+      "Ġg otta",
+      "Ġgot ta",
+      "Ġ rif",
+      "Ġr if",
+      "Ġri f",
+      "- im",
+      "-i m",
+      "ĠPaul o",
+      "ĠPa ulo",
+      "ĠCommand Type",
+      "] ))ĊĊ",
+      "]) )ĊĊ",
+      "])) ĊĊ",
+      "]))Ċ Ċ",
+      "- zero",
+      "-z ero",
+      "Tr aining",
+      "Train ing",
+      "Tra ining",
+      "Ġ lord",
+      "Ġl ord",
+      "Ġlo rd",
+      "Ġlor d",
+      "_ art",
+      "_a rt",
+      "_ar t",
+      "re ddit",
+      "red dit",
+      "redd it",
+      "C ert",
+      "Ce rt",
+      "Ġp eso",
+      "Ġpe so",
+      "Ġpes o",
+      "R ot",
+      "Ro t",
+      "Ġen danger",
+      "Ġend anger",
+      ". dr",
+      ".d r",
+      "user Info",
+      "u nts",
+      "un ts",
+      "unt s",
+      "n v",
+      "ĠTr ailer",
+      "ĠTra iler",
+      "ĠTrail er",
+      "- first",
+      "-f irst",
+      "-fi rst",
+      "( make",
+      "(m ake",
+      "Ġbenef ici",
+      "- black",
+      "-b lack",
+      "-bl ack",
+      "i ÃŁ",
+      "Ġund oubtedly",
+      "Ġm ex",
+      "Ġme x",
+      "ĠAn cient",
+      "ĠAnc ient",
+      "( as",
+      "(a s",
+      "Ġdes cent",
+      "Ġdesc ent",
+      "P ick",
+      "Pic k",
+      "Pi ck",
+      "Ġrep lica",
+      "Ġrepl ica",
+      "Ġreplic a",
+      "$ obj",
+      "$o bj",
+      "ä hr",
+      "äh r",
+      "Ġar rows",
+      "Ġarr ows",
+      "Ġarrow s",
+      "f ty",
+      "ft y",
+      "ĠLib ya",
+      "u ga",
+      "ug a",
+      "ch arged",
+      "char ged",
+      "charge d",
+      "charg ed",
+      "T ur",
+      "Tu r",
+      "Ġh omic",
+      "Ġhom ic",
+      "Ġho mic",
+      "is sen",
+      "iss en",
+      "isse n",
+      "Ġ Fake",
+      "ĠF ake",
+      "ĠFa ke",
+      "ĠFak e",
+      "Ġbe ers",
+      "Ġbeer s",
+      "Ġbee rs",
+      "Ġsc attered",
+      "Ġscatter ed",
+      "( Time",
+      "(T ime",
+      "UT IL",
+      "Ġbureauc r",
+      "Ġbureau cr",
+      "/ plain",
+      "/p lain",
+      "/pl ain",
+      "Ġst icking",
+      "Ġstick ing",
+      "F AIL",
+      "FA IL",
+      "ĠC ovid",
+      "ĠCo vid",
+      "ĠCov id",
+      "Th ird",
+      "_ present",
+      "_p resent",
+      "_pre sent",
+      "_pres ent",
+      "ĠP ierre",
+      "ĠPi erre",
+      "ĠPier re",
+      "Ġ ëª",
+      "Ġë ª",
+      "Ġ[ ...]ĊĊ",
+      "Ġ[... ]ĊĊ",
+      "Ġ[...] ĊĊ",
+      "P rob",
+      "Pro b",
+      "Pr ob",
+      "Ġ Traffic",
+      "ĠTra ffic",
+      "ĠTraff ic",
+      "i cao",
+      "ic ao",
+      "ica o",
+      "do ctor",
+      "doc tor",
+      "Ġ ),ĊĊ",
+      "Ġ) ,ĊĊ",
+      "Ġ),Ċ Ċ",
+      "Ġ), ĊĊ",
+      "T abs",
+      "Tab s",
+      "Ta bs",
+      "a lu",
+      "al u",
+      "ï¼ļ âĢľ",
+      "Ġin herent",
+      "Ġinher ent",
+      "_ No",
+      "_N o",
+      "r itis",
+      "rit is",
+      "Ġ Proof",
+      "ĠP roof",
+      "ĠPro of",
+      ". basename",
+      ".b asename",
+      ".base name",
+      "ä¼ ļ",
+      "Ġc him",
+      "Ġch im",
+      "Ġchi m",
+      "Ġ Protected",
+      "ĠProt ected",
+      "ĠProtect ed",
+      "c rit",
+      "cri t",
+      "cr it",
+      "Ġp rone",
+      "Ġpro ne",
+      "Ġpr one",
+      "Ġpron e",
+      "Ġ кон",
+      "Ġк он",
+      "Ġко н",
+      "Ġ Heroes",
+      "ĠHer oes",
+      "ĠHero es",
+      "Ġan xious",
+      "Ġanx ious",
+      "Ġ anos",
+      "Ġa nos",
+      "Ġan os",
+      "Ġano s",
+      "Ġweek ends",
+      "Ġweekend s",
+      "Ġs ext",
+      "Ġse xt",
+      "Ġsex t",
+      "Ġre ducer",
+      "Ġred ucer",
+      "Ġredu cer",
+      "Ġreduce r",
+      "= UTF",
+      "h alf",
+      "ha lf",
+      "hal f",
+      "ĠS aw",
+      "ĠSa w",
+      ". mm",
+      ".m m",
+      "Ġn ueva",
+      "Ġnu eva",
+      "Ġnue va",
+      ".current Target",
+      ". lua",
+      ".l ua",
+      ".lu a",
+      "_EXT ENSION",
+      "ĉ reg",
+      "ĉr eg",
+      "ĉre g",
+      "Ġ Ctrl",
+      "ĠC trl",
+      "ĠCt rl",
+      "_ align",
+      "_al ign",
+      "accept able",
+      "Ġr ushing",
+      "Ġrush ing",
+      "f rac",
+      "fr ac",
+      "fra c",
+      "Ġbo asts",
+      "Ġboast s",
+      "Ġboa sts",
+      "F ive",
+      "Fi ve",
+      "Â ±",
+      "Ġ Temperature",
+      "ĠT emperature",
+      "ĠTem perature",
+      "ĠTemper ature",
+      "> ):",
+      ">) :",
+      "Ġch arter",
+      "Ġchar ter",
+      "Ġchart er",
+      "RE ATED",
+      "REATE D",
+      "REAT ED",
+      "REA TED",
+      "Ġsub jected",
+      "Ġsubject ed",
+      "Ġsubj ected",
+      "Ġ opc",
+      "Ġo pc",
+      "Ġop c",
+      "health y",
+      "使 çĶ¨",
+      "ĠScient ific",
+      "Ġ frau",
+      "Ġfr au",
+      "Ġfra u",
+      "ri ages",
+      "ria ges",
+      "riage s",
+      "ภĶ",
+      ". inventory",
+      ".in ventory",
+      "at ionale",
+      "ation ale",
+      "ational e",
+      "M ad",
+      "Ma d",
+      "min utes",
+      "minute s",
+      "> >();Ċ",
+      ">> ();Ċ",
+      ">>( );Ċ",
+      ">>() ;Ċ",
+      "Ġ Env",
+      "ĠE nv",
+      "ĠEn v",
+      "Ġrecord ings",
+      "Ġrecording s",
+      "Ġsusp icion",
+      "sql ite",
+      "sq lite",
+      "ĉ read",
+      "ĉr ead",
+      "ĉre ad",
+      "ãģ ¦",
+      "Ġwor ries",
+      ".put String",
+      "ĠSh anghai",
+      "( uid",
+      "(u id",
+      "(ui d",
+      "r er",
+      "re r",
+      "ĠvÃŃ de",
+      "\" ):",
+      "\") :",
+      "Ġmethod ology",
+      "Ġк оÑĤоÑĢ",
+      "Ġко ÑĤоÑĢ",
+      "ĠкоÑĤ оÑĢ",
+      "c cc",
+      "cc c",
+      "av ad",
+      "ava d",
+      "Ġin duction",
+      "Ġind uction",
+      "Ġindu ction",
+      "ĉ Thread",
+      "ĉT hread",
+      ", string",
+      ",s tring",
+      ",str ing",
+      ",st ring",
+      "ạ i",
+      "neh men",
+      "u ition",
+      "ui tion",
+      "uit ion",
+      "Ġ* __",
+      "Ġ*_ _",
+      ".e mf",
+      ".em f",
+      "Ġ ìľ",
+      "Ġì ľ",
+      "/ themes",
+      "/th emes",
+      "/theme s",
+      "/the mes",
+      "Ġ Nine",
+      "ĠN ine",
+      "ĠNi ne",
+      "ĠNin e",
+      ". One",
+      ".On e",
+      ".O ne",
+      "Ġ Embed",
+      "ĠEm bed",
+      "ĠEmb ed",
+      "Ġf az",
+      "Ġfa z",
+      "u ations",
+      "uation s",
+      "uat ions",
+      "Ġprivate ly",
+      "Ġpriv ately",
+      "Ġprivat ely",
+      "Ġ ling",
+      "Ġl ing",
+      "Ġli ng",
+      "Ġlin g",
+      "[ F",
+      "u shi",
+      "us hi",
+      "ush i",
+      "Ġlaunch es",
+      "( KEY",
+      "(K EY",
+      "G MT",
+      "GM T",
+      "Ġa iming",
+      "Ġaim ing",
+      "Ġai ming",
+      "pat ible",
+      "ĠB iden",
+      "ĠBi den",
+      "ĠBid en",
+      "i w",
+      "Ġ Degree",
+      "ĠD egree",
+      "ĠDe gree",
+      "ĠDeg ree",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "Ġ$ ('<",
+      "Ġ$( '<",
+      "Ġ$(' <",
+      "á rios",
+      "ário s",
+      "ár ios",
+      "to UpperCase",
+      "ìł ľ",
+      "Ġ EUR",
+      "ĠE UR",
+      "ĠEU R",
+      "Ġovers ight",
+      "Ġtable sp",
+      "Ġtables p",
+      "Up dates",
+      "Update s",
+      ".m akedirs",
+      ".make dirs",
+      "Ġ humidity",
+      "Ġh umidity",
+      "Ġhum idity",
+      "Ġhumid ity",
+      "/ template",
+      "/t emplate",
+      "/temp late",
+      "Al ways",
+      "( IS",
+      "(I S",
+      "_ cert",
+      "_c ert",
+      "_ce rt",
+      "D ig",
+      "Di g",
+      "Ġunder way",
+      "or ton",
+      "ort on",
+      "ĠHur ricane",
+      "Ġsp ends",
+      "Ġspe nds",
+      "Ġspend s",
+      "Ġ Segment",
+      "ĠS egment",
+      "ĠSe gment",
+      "ĠSeg ment",
+      "Ġ flies",
+      "Ġf lies",
+      "Ġfl ies",
+      "Ġ Toggle",
+      "ĠT oggle",
+      "ĠL ynch",
+      "ĠLyn ch",
+      "Ġs enses",
+      "Ġsense s",
+      "Ġsens es",
+      "Ġsen ses",
+      "ĠK os",
+      "ĠKo s",
+      "set Enabled",
+      "ist ically",
+      "istic ally",
+      "istical ly",
+      "Ġ tester",
+      "Ġt ester",
+      "Ġte ster",
+      "Ġtest er",
+      "Ġtes ter",
+      "Ġteste r",
+      "Ġadministr ators",
+      "Ġadministrator s",
+      "Ġt agged",
+      "Ġtag ged",
+      "Ð ĵ",
+      "Ġ shortcut",
+      "Ġshort cut",
+      "Ġ Resolution",
+      "ĠRe solution",
+      "ĠRes olution",
+      "Ġsuper vision",
+      "Ġsuperv ision",
+      "ĠAsh ley",
+      "Tr acking",
+      "Track ing",
+      "ul atory",
+      "ulator y",
+      "an del",
+      "and el",
+      "ande l",
+      "i sten",
+      "is ten",
+      "ist en",
+      "iste n",
+      "Ġun re",
+      "Ġunr e",
+      "( diff",
+      "(d iff",
+      "(di ff",
+      "AN TS",
+      "ANT S",
+      "Ġr ider",
+      "Ġrid er",
+      "Ġride r",
+      "Ġri der",
+      "Ġs Äħ",
+      ". Series",
+      ".S eries",
+      ".Se ries",
+      "_ orders",
+      "_order s",
+      "_or ders",
+      "_ord ers",
+      "ORIZ ONTAL",
+      "Ġret ention",
+      "ãĢĤ </",
+      "ãĢĤ< /",
+      ". Tests",
+      ".T ests",
+      ".Test s",
+      ".Te sts",
+      "S yn",
+      "Sy n",
+      ".parse Double",
+      "k ode",
+      "ko de",
+      "z ent",
+      "ze nt",
+      "zen t",
+      "G eneration",
+      "Gener ation",
+      "Gen eration",
+      "Gene ration",
+      "Ġad mits",
+      "Ġadm its",
+      "Ġadmit s",
+      "ĠLe ak",
+      "Ġ aka",
+      "Ġa ka",
+      "Ġak a",
+      "RO WS",
+      "ROW S",
+      "ĠAng ela",
+      "ĠAnge la",
+      "ĠAngel a",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "Ġ noon",
+      "Ġn oon",
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+      "Ġri ses",
+      "ĠBr ussels",
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+      "Cons ider",
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+      "v otes",
+      "vo tes",
+      "vote s",
+      "Ġexam ining",
+      "/ register",
+      "/reg ister",
+      "Ġspec ifying",
+      "Ġspecify ing",
+      "_ fixed",
+      "_f ixed",
+      "_fix ed",
+      "Ġdraw ings",
+      "Ġdrawing s",
+      "Th reshold",
+      "A x",
+      "Ġ Architecture",
+      "ĠArch itecture",
+      "ĠArchitect ure",
+      "( pid",
+      "(p id",
+      "(pi d",
+      "W ire",
+      "Wir e",
+      "Wi re",
+      "( cont",
+      "(c ont",
+      "(con t",
+      "(co nt",
+      "l ane",
+      "la ne",
+      "lan e",
+      "L ists",
+      "List s",
+      "Li sts",
+      "Ġs print",
+      "Ġsp rint",
+      "Ġspr int",
+      "Ġgrand father",
+      "_ AG",
+      "_A G",
+      "Ġs cheduling",
+      "Ġsched uling",
+      "CL US",
+      "CLU S",
+      "at urity",
+      "atur ity",
+      "Ġ locking",
+      "Ġl ocking",
+      "Ġloc king",
+      "Ġlock ing",
+      "[ size",
+      "[s ize",
+      "_ styles",
+      "_st yles",
+      "_style s",
+      "Ġ wb",
+      "Ġw b",
+      "-- >ĊĊ",
+      "-->Ċ Ċ",
+      "--> ĊĊ",
+      "Ġsp inning",
+      "Ġspin ning",
+      "_ pending",
+      "_p ending",
+      "_pen ding",
+      "Match ers",
+      "Mat chers",
+      "Matcher s",
+      ". Keys",
+      ".Key s",
+      "Ġ PV",
+      "ĠP V",
+      "en us",
+      "enu s",
+      "ant is",
+      "anti s",
+      "Ġ discard",
+      "Ġd iscard",
+      "Ġdis card",
+      "Ġdisc ard",
+      "Ġ haul",
+      "Ġh aul",
+      "Ġha ul",
+      "Ġem pir",
+      "Ġemp ir",
+      "Ġpath way",
+      "Ġo ak",
+      "Ġoa k",
+      "м ен",
+      "ме н",
+      "-in duced",
+      "-ind uced",
+      "Ġim pair",
+      "Ġimp air",
+      "ĠCal gary",
+      ".is Hidden",
+      "d z",
+      "_ include",
+      "_in clude",
+      "_inc lude",
+      "Ġ gm",
+      "Ġg m",
+      "Ġ' ('",
+      "Ġ'( '",
+      "P Y",
+      "uggest ions",
+      "uggestion s",
+      "Ġcom modity",
+      "Ġcommod ity",
+      "c ro",
+      "cr o",
+      "/ sub",
+      "/s ub",
+      "Ġ getInstance",
+      "Ġget Instance",
+      "Ġ Legacy",
+      "ĠLeg acy",
+      "ĠK il",
+      "ĠKi l",
+      "B al",
+      "Ba l",
+      "( short",
+      "(s hort",
+      "(sh ort",
+      "In form",
+      "Info rm",
+      "Inf orm",
+      "+ x",
+      "* r",
+      "Ġ Hopefully",
+      "ĠHope fully",
+      "ĠHop efully",
+      "o rate",
+      "or ate",
+      "ora te",
+      "Ġm achen",
+      "Ġma chen",
+      "Ġmach en",
+      "Ġmac hen",
+      "Ġtreat y",
+      "Ġtre aty",
+      "ĠO ri",
+      "ĠOr i",
+      ". public",
+      ".p ublic",
+      ".pub lic",
+      "- horizontal",
+      "-h orizontal",
+      "Ġt actic",
+      "Ġta ctic",
+      "Ġtact ic",
+      "Ġtac tic",
+      "Ġb ord",
+      "Ġbo rd",
+      "Ġbor d",
+      "w ares",
+      "ware s",
+      "wa res",
+      "war es",
+      "Ġ ammo",
+      "Ġa mmo",
+      "Ġam mo",
+      "Ġ Lists",
+      "ĠL ists",
+      "ĠList s",
+      "ĠLi sts",
+      "ĠLis ts",
+      "Ġequ ations",
+      "Ġeq uations",
+      "Ġequation s",
+      "/ her",
+      "/h er",
+      "/he r",
+      "ĠN SW",
+      "ĠNS W",
+      "B ounding",
+      "Bo unding",
+      "Bound ing",
+      "_ Collections",
+      "_C ollections",
+      "Ġ avail",
+      "Ġa vail",
+      "Ġav ail",
+      "Ġava il",
+      ". DropDown",
+      ".Drop Down",
+      "è °",
+      "Ġ hh",
+      "Ġh h",
+      "Ġl Ãł",
+      ". pb",
+      ".p b",
+      "Ġmem orial",
+      "Ġmemor ial",
+      "Ġmemo rial",
+      "Ġmemoria l",
+      "Ġ ATTR",
+      "ĠAT TR",
+      "ĠATT R",
+      "Ġexhaust ed",
+      "Ġt sp",
+      "Ġts p",
+      "ĉ redirect",
+      "ĉre direct",
+      "Ġlike wise",
+      "Ġlik ewise",
+      "S TER",
+      "ST ER",
+      "STE R",
+      "L java",
+      "Ġcondem ned",
+      "Ġcondemn ed",
+      "oca ust",
+      "( strict",
+      "(str ict",
+      "Ġex empt",
+      "Ġexem pt",
+      "Ġexemp t",
+      "Ġ sms",
+      "Ġs ms",
+      "Ġsm s",
+      "Ġex agger",
+      "S YS",
+      "SY S",
+      "Ġl ounge",
+      "Ġlo unge",
+      "Ġlou nge",
+      "Ġloung e",
+      ": ^",
+      "Ġt odd",
+      "Ġto dd",
+      "Ġtod d",
+      "d eb",
+      "de b",
+      "at orial",
+      "ator ial",
+      "ato rial",
+      "atori al",
+      "atoria l",
+      "ĠPort er",
+      "ĠPor ter",
+      "Ġt uition",
+      "Ġtu ition",
+      "Ġex empl",
+      "Ġexem pl",
+      "Ġexe mpl",
+      "Ġexemp l",
+      "Ġ paren",
+      "Ġp aren",
+      "Ġpar en",
+      "Ġpa ren",
+      "Ġpare n",
+      ".line To",
+      "Ġkid ney",
+      "Ġki dney",
+      "Ġkidn ey",
+      "Ġ ça",
+      "Ġç a",
+      "Ġc ui",
+      "Ġcu i",
+      "ï¼Į 请",
+      "X C",
+      "Ġmo ż",
+      "Ġn ominated",
+      "Ġno minated",
+      "Ġnom inated",
+      "Ġnomin ated",
+      "Ġnominate d",
+      "l ung",
+      "lu ng",
+      "lun g",
+      "Im Gui",
+      "Ġ Buzz",
+      "ĠB uzz",
+      "ĠBu zz",
+      "Ġst ereo",
+      "Ġste reo",
+      "Ġster eo",
+      "Ġstere o",
+      "p ortal",
+      "port al",
+      "por tal",
+      "res as",
+      "resa s",
+      "Ġ klass",
+      "Ġk lass",
+      "Ġkl ass",
+      "Ġkla ss",
+      "Ġklas s",
+      "Ġd rafted",
+      "Ġdraft ed",
+      "Ġproject ile",
+      "/g pl",
+      "( parameters",
+      "(param eters",
+      "(parameter s",
+      "* )Ċ",
+      "*) Ċ",
+      "Ġass isted",
+      "Ġassist ed",
+      "Ġ NSInteger",
+      "ĠNS Integer",
+      "s itemap",
+      "site map",
+      "sit emap",
+      ": nth",
+      ":n th",
+      ". Views",
+      ".View s",
+      ".Argument Parser",
+      "Ġ meer",
+      "Ġm eer",
+      "Ġme er",
+      "Ġmee r",
+      "z ier",
+      "zi er",
+      "zie r",
+      "Ġ Dig",
+      "ĠD ig",
+      "ĠDi g",
+      "<? =$",
+      "<?= $",
+      "_ permission",
+      "_per mission",
+      "_perm ission",
+      "ĉ Add",
+      "ĉA dd",
+      "olog ia",
+      "olo gia",
+      "ologi a",
+      "Ġ sci",
+      "Ġs ci",
+      "Ġsc i",
+      "Ġfinancial ly",
+      "Ġfinanc ially",
+      "Ġsc rolling",
+      "Ġscroll ing",
+      ". dist",
+      ".d ist",
+      ".dis t",
+      ".di st",
+      "_ HAS",
+      "_H AS",
+      "ub untu",
+      ". pages",
+      ".p ages",
+      ".page s",
+      ".pa ges",
+      ".pag es",
+      "In cre",
+      "Inc re",
+      "b urse",
+      "bur se",
+      "ĠAm ateur",
+      "æº IJ",
+      "B lob",
+      "Bl ob",
+      "Blo b",
+      "Ġch olesterol",
+      "D ES",
+      "DE S",
+      "min imum",
+      "Ġref using",
+      "un ned",
+      "unn ed",
+      "Ð ľ",
+      "Ġ RD",
+      "ĠR D",
+      ". Servlet",
+      ".S ervlet",
+      "Ġ* /;Ċ",
+      "Ġ*/ ;Ċ",
+      "u dden",
+      "ud den",
+      "udd en",
+      "Ġview Box",
+      "Ġmetabol ism",
+      "Ġste aling",
+      "Ġsteal ing",
+      "ĠB ever",
+      "ĠBe ver",
+      "agn etic",
+      "agne tic",
+      "agnet ic",
+      "VERR IDE",
+      "_ AUDIO",
+      "_A UDIO",
+      "_AUD IO",
+      "ÑĢ Ñĭ",
+      "Ġ archives",
+      "Ġarch ives",
+      "Ġarchive s",
+      ". linear",
+      ".l inear",
+      ".line ar",
+      ".li near",
+      ".lin ear",
+      "={ <",
+      "unc ated",
+      "uncate d",
+      "unca ted",
+      "Access Exception",
+      "Ġ pictureBox",
+      "Ġp ictureBox",
+      "Ġpicture Box",
+      "ĉ select",
+      "ĉs elect",
+      "ĉse lect",
+      "L atitude",
+      "Lat itude",
+      "v isor",
+      "vis or",
+      "viso r",
+      "re ib",
+      "rei b",
+      "Ġ pak",
+      "Ġp ak",
+      "Ġpa k",
+      "H ope",
+      "Ho pe",
+      "Hop e",
+      "Ġ Iterable",
+      "ĠIt erable",
+      "ĠIter able",
+      ".response Text",
+      "Ġ Quad",
+      "ĠQu ad",
+      "ĠBr ooks",
+      "ĠBro oks",
+      "ĠBrook s",
+      "Ġ Tot",
+      "ĠT ot",
+      "ĠTo t",
+      "O PT",
+      "OP T",
+      "e long",
+      "el ong",
+      "elo ng",
+      "elon g",
+      "Ġcoc aine",
+      "Ġ ano",
+      "Ġa no",
+      "Ġan o",
+      "D an",
+      "Da n",
+      "Ġ psi",
+      "Ġp si",
+      "Ġps i",
+      "а лÑĮ",
+      "ал ÑĮ",
+      ". getChild",
+      ".get Child",
+      "Ġ REF",
+      "ĠR EF",
+      "ĠRE F",
+      "- ab",
+      "-a b",
+      "Ġ Triangle",
+      "ĠT riangle",
+      "ĠTr iangle",
+      "ĠTri angle",
+      "< Text",
+      "<T ext",
+      "ĠColomb ia",
+      "in ky",
+      "ink y",
+      "èī ²",
+      ") }>Ċ",
+      ")} >Ċ",
+      ")}> Ċ",
+      "Ġp lag",
+      "Ġpl ag",
+      "Ġpla g",
+      "p ine",
+      "pi ne",
+      "pin e",
+      "Ġblank et",
+      "Ġ :</",
+      "Ġ: </",
+      "Ġ Translation",
+      "ĠTrans lation",
+      "n ov",
+      "no v",
+      "Ġper fection",
+      "Ġperfect ion",
+      "Ġperf ection",
+      "ĠConf eder",
+      ". stub",
+      ".st ub",
+      ".Interop Services",
+      ". Store",
+      ".St ore",
+      "Ġen rollment",
+      "Ġenroll ment",
+      "Ġ deer",
+      "Ġd eer",
+      "Ġde er",
+      "Ġdee r",
+      "M ovement",
+      "Move ment",
+      "Mo vement",
+      "Mov ement",
+      "- from",
+      "-f rom",
+      "-fr om",
+      "h c",
+      "Ġev angel",
+      "Ġ Illustr",
+      "ĠIll ustr",
+      "Ġtr ump",
+      "_ Start",
+      "_St art",
+      "pl anes",
+      "plan es",
+      "plane s",
+      "pla nes",
+      "ĠB il",
+      "ĠBi l",
+      "In fos",
+      "Info s",
+      "Inf os",
+      "- trans",
+      "-t rans",
+      "-tr ans",
+      "-tra ns",
+      "Ġr anch",
+      "Ġran ch",
+      "ĠL inda",
+      "ĠLin da",
+      "ĠLi nda",
+      "ĠLind a",
+      "_ mar",
+      "_m ar",
+      "_ma r",
+      "R ET",
+      "RE T",
+      "/ net",
+      "/n et",
+      "/ne t",
+      "L aw",
+      "La w",
+      "N F",
+      "ĠPr event",
+      "ĠPre vent",
+      "ĠPrev ent",
+      "Ġc ried",
+      "Ġcr ied",
+      "Ġcri ed",
+      "Ġeduc ate",
+      "Ġedu cate",
+      "as tics",
+      "ast ics",
+      "astic s",
+      "asti cs",
+      "y i",
+      ". LinearLayout",
+      ".Line arLayout",
+      ".Linear Layout",
+      "M ETHOD",
+      "ĠE g",
+      "m apper",
+      "ma pper",
+      "map per",
+      "æ ĻĤ",
+      "æĻ Ĥ",
+      ".as array",
+      "Ï ģ",
+      "i ção",
+      "iç ão",
+      "Re use",
+      "_ rev",
+      "_re v",
+      "_r ev",
+      "Ġ PRODUCT",
+      "ĠPRO DUCT",
+      "_ Code",
+      "_C ode",
+      "Ġ ĠĠĠĠčĊ",
+      "ĠĠ ĠĠĠčĊ",
+      "ĠĠĠĠ ĠčĊ",
+      "ĠĠĠ ĠĠčĊ",
+      "ĠĠĠĠĠ čĊ",
+      "Ġ SERVICE",
+      "ĠS ERVICE",
+      "ĠSER VICE",
+      "_ cover",
+      "_c over",
+      "_co ver",
+      "_cov er",
+      ". ,Ċ",
+      "., Ċ",
+      ".Execute Reader",
+      "ĠD ining",
+      "ĠDi ning",
+      "ĠDin ing",
+      ". arch",
+      ".a rch",
+      ".ar ch",
+      ".arc h",
+      "Ġo tro",
+      "Ġot ro",
+      "Ġ Discovery",
+      "ĠDis covery",
+      "ĠDisc overy",
+      "ĠDiscover y",
+      "ĠDisco very",
+      "ĠKey Error",
+      "Ġ Benefits",
+      "ĠBenef its",
+      "ĠBenefit s",
+      "ĠBene fits",
+      "_ SHA",
+      "_S HA",
+      "_SH A",
+      ".Un marshal",
+      "HE ADER",
+      "HEAD ER",
+      "M utex",
+      "Mu tex",
+      "Mut ex",
+      "A MA",
+      "AM A",
+      "Ġinit iate",
+      "Ġiniti ate",
+      "St ay",
+      "L ittle",
+      "Lit tle",
+      "Ġ (),",
+      "Ġ( ),",
+      "Ġ() ,",
+      "Ġde central",
+      "Ġdec entral",
+      "Ġdecent ral",
+      "Re solution",
+      "Res olution",
+      ". health",
+      ".he alth",
+      "ĉ fclose",
+      "ĉf close",
+      "äº ¤",
+      "Ġstake holders",
+      "Ġarch ae",
+      "D igital",
+      "Digit al",
+      "Dig ital",
+      "le scope",
+      "les cope",
+      "lesc ope",
+      "_ pen",
+      "_p en",
+      "_pe n",
+      "ĠItem Stack",
+      "Ġ Canon",
+      "ĠC anon",
+      "ĠCan on",
+      "ĠCa non",
+      "ĠK end",
+      "ĠKe nd",
+      "ĠKen d",
+      "Ġ ø",
+      "ĠÃ ¸",
+      "_ ajax",
+      "_a jax",
+      "ing redients",
+      "ingredient s",
+      "D elivery",
+      "Del ivery",
+      "S ections",
+      "Se ctions",
+      "Section s",
+      "Ġdisappoint ing",
+      "ĠG ren",
+      "ĠGr en",
+      "ĠGre n",
+      ", re",
+      ",r e",
+      "Ġ decrypt",
+      "Ġde crypt",
+      "Ġdec rypt",
+      "o logic",
+      "olog ic",
+      "ologi c",
+      "_ fmt",
+      "_f mt",
+      "_fm t",
+      "Ġ Slider",
+      "ĠS lider",
+      "ĠSl ider",
+      "ĠSlide r",
+      "n ah",
+      "na h",
+      "W ashington",
+      "z ung",
+      "zu ng",
+      "Ġ ÑĨ",
+      "ĠÑ Ĩ",
+      "y cz",
+      "yc z",
+      "ie ves",
+      "ieve s",
+      "iev es",
+      ". DEBUG",
+      ".DE BUG",
+      "Ġ TI",
+      "ĠT I",
+      "Ġh acking",
+      "Ġhack ing",
+      "Ġhac king",
+      "Ġc entr",
+      "Ġcent r",
+      "Ġcen tr",
+      "fl ows",
+      "flow s",
+      "flo ws",
+      "Ġdid ReceiveMemoryWarning",
+      "Ġaccount ability",
+      "C OUNT",
+      "CO UNT",
+      "лем енÑĤ",
+      "ле менÑĤ",
+      "b lo",
+      "bl o",
+      "/ id",
+      "/i d",
+      "Ġ Slow",
+      "ĠS low",
+      "ĠSl ow",
+      "ĠSlo w",
+      "izz ard",
+      "izza rd",
+      ".remove EventListener",
+      "Ġ ìŀħ",
+      "Ġìŀ ħ",
+      "/ I",
+      "is ma",
+      "ism a",
+      "ĠH udson",
+      "ĠHud son",
+      "} },",
+      "}} ,",
+      "u med",
+      "um ed",
+      "ume d",
+      "Ġreal ise",
+      "un safe",
+      "uns afe",
+      "Ġz us",
+      "Ġzu s",
+      "Ġshort age",
+      "o lia",
+      "ol ia",
+      "oli a",
+      "_ priority",
+      "_p riority",
+      "_prior ity",
+      "Ġflo oding",
+      "Ġflood ing",
+      "oper ations",
+      "operation s",
+      "P oly",
+      "Pol y",
+      "Po ly",
+      "a ban",
+      "ab an",
+      "aba n",
+      "[ cur",
+      "[c ur",
+      "Ġesk orte",
+      "Ġeskort e",
+      "_ DESCRIPTION",
+      "_DE SCRIPTION",
+      "_DESC RIPTION",
+      "_ nat",
+      "_n at",
+      "_na t",
+      "Ġmal icious",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠP arks",
+      "ĠPar ks",
+      "ĠPark s",
+      "Ġtax payer",
+      "Ġtaxp ayer",
+      "ĠF oster",
+      "ĠFo ster",
+      "Ġsex uality",
+      "Ġsexual ity",
+      "ç ³»",
+      "ç³ »",
+      "ë °",
+      "\\ čĊ",
+      ". seek",
+      ".se ek",
+      "а ниÑı",
+      "ан иÑı",
+      "ани Ñı",
+      "/ article",
+      "/art icle",
+      "è¿ ĩ",
+      "ĠU hr",
+      "ĠUh r",
+      "Ġgrand mother",
+      "ĠB le",
+      "ĠBl e",
+      "f urt",
+      "fu rt",
+      "fur t",
+      "am bah",
+      "amb ah",
+      "amba h",
+      "not ifications",
+      "notification s",
+      "notif ications",
+      "de precated",
+      "dep recated",
+      "Ġ uintptr",
+      "Ġu intptr",
+      "Ġuint ptr",
+      "o ki",
+      "ok i",
+      "( Array",
+      "(A rray",
+      "Ġaut onomous",
+      "Ġautonom ous",
+      "Ġo br",
+      "Ġob r",
+      "¯ ¯",
+      "Ġ basename",
+      "Ġb asename",
+      "Ġbase name",
+      "Ġbas ename",
+      "Ġunve iled",
+      "Ġunveil ed",
+      "s ol",
+      "so l",
+      "ĠNotImplemented Error",
+      "Ġde press",
+      "Ġdep ress",
+      "Ġdepr ess",
+      "_ '.$",
+      "_' .$",
+      "Ġ UNIT",
+      "ĠUN IT",
+      "% ',",
+      "%' ,",
+      "- tag",
+      "-t ag",
+      "g rep",
+      "gr ep",
+      "gre p",
+      "Ġ Maintenance",
+      "ĠM aintenance",
+      "ĠMaint enance",
+      "Ġwar fare",
+      "_ RESOURCE",
+      "_RE SOURCE",
+      "_RES OURCE",
+      "( spec",
+      "(s pec",
+      "(sp ec",
+      "( cv",
+      "(c v",
+      "Ġn ada",
+      "Ġna da",
+      "Ġnad a",
+      "çĶ µ",
+      "Ġcrow ded",
+      "Ġcrowd ed",
+      "B elow",
+      "Be low",
+      "Bel ow",
+      "ĠZ ach",
+      "ĠZa ch",
+      "ĠZac h",
+      "Est ado",
+      "Esta do",
+      "_ prime",
+      "_pr ime",
+      "_pri me",
+      "_prim e",
+      "Ġtr abajo",
+      "Ġtrab ajo",
+      "Ġtrabaj o",
+      "Ġinform ative",
+      "Ġinformat ive",
+      "S cott",
+      "Sc ott",
+      "Ġserial izers",
+      "Ġserializer s",
+      "Ġserialize rs",
+      "ĠN as",
+      "ĠNa s",
+      "Th unk",
+      "Thu nk",
+      "Ġmer cy",
+      "Ġmerc y",
+      ", ...ĊĊ",
+      ",. ..ĊĊ",
+      ",... ĊĊ",
+      ",...Ċ Ċ",
+      "Ġadd ict",
+      "Ġad dict",
+      ". constants",
+      ".con stants",
+      ".constant s",
+      ".const ants",
+      "Ġdata frame",
+      "_ reason",
+      "_re ason",
+      "gom ery",
+      "ìĬµ ëĭĪëĭ¤",
+      "Ġneg lect",
+      "Ġ Lines",
+      "ĠL ines",
+      "ĠLine s",
+      "ĠLin es",
+      "ĠLi nes",
+      "Ġm emb",
+      "Ġme mb",
+      "Ġmem b",
+      "_ EXEC",
+      "_EX EC",
+      "as sage",
+      "ass age",
+      "assa ge",
+      "ĠY ard",
+      "ĠYa rd",
+      "ĠYar d",
+      "{ }'.",
+      "{} '.",
+      "Ġlot tery",
+      "t ein",
+      "te in",
+      "_ calc",
+      "_c alc",
+      "_cal c",
+      "_ca lc",
+      "i ku",
+      "ik u",
+      "_RE CORD",
+      "_REC ORD",
+      "W arn",
+      "War n",
+      "Wa rn",
+      "Ġhealth ier",
+      "u rement",
+      "ur ement",
+      "ure ment",
+      "Ġy arn",
+      "Ġya rn",
+      "Ġyar n",
+      "Ġ Corner",
+      "ĠCor ner",
+      "ĠCorn er",
+      "( zip",
+      "(z ip",
+      "( init",
+      "(i nit",
+      "(in it",
+      "Ġ Lit",
+      "ĠL it",
+      "ĠLi t",
+      "H W",
+      "sub set",
+      "subs et",
+      "Ġ MF",
+      "ĠM F",
+      "E TERS",
+      "ET ERS",
+      "ETER S",
+      "_ rot",
+      "_r ot",
+      "_ro t",
+      "Ġ ere",
+      "Ġe re",
+      "Ġer e",
+      "Ġ Override",
+      "ĠOver ride",
+      "W allet",
+      "Wall et",
+      "Wal let",
+      "_ reward",
+      "_re ward",
+      "_r eward",
+      "Ġ sage",
+      "Ġs age",
+      "Ġsa ge",
+      "Ġsag e",
+      "set Visible",
+      "ĠJson Response",
+      "I CY",
+      "IC Y",
+      "è¯ ¢",
+      "Var Char",
+      "a at",
+      "aa t",
+      "- green",
+      "-g reen",
+      "-gr een",
+      "Ġ irq",
+      "Ġi rq",
+      "Ġir q",
+      "an ity",
+      "ani ty",
+      "Ġwho ever",
+      "_ share",
+      "_s hare",
+      "_sh are",
+      "_sha re",
+      "Ġ fout",
+      "Ġf out",
+      "Ġfo ut",
+      "Ġfou t",
+      "r olls",
+      "rol ls",
+      "roll s",
+      "Ġwilling ness",
+      ".component Instance",
+      "Ġhon ored",
+      "Ġhonor ed",
+      "ur vey",
+      "urve y",
+      "urv ey",
+      "B er",
+      "Be r",
+      "Ġrun ners",
+      "Ġrunner s",
+      "Ġl ieu",
+      "Ġli eu",
+      "Ġlie u",
+      "or por",
+      "orp or",
+      "_ structure",
+      "_struct ure",
+      "Bar ButtonItem",
+      "BarButton Item",
+      "a dx",
+      "ad x",
+      "ĠBen nett",
+      "ĠBenn ett",
+      "Ġd ilig",
+      "Ġdi lig",
+      "Ġdil ig",
+      "Ġfl uct",
+      "Ġflu ct",
+      "ID DEN",
+      "IDD EN",
+      "_ Selected",
+      "_Se lected",
+      "_Select ed",
+      "( div",
+      "(d iv",
+      "(di v",
+      "Ġqu icker",
+      "Ġquick er",
+      "Ġqui cker",
+      "a long",
+      "al ong",
+      "alo ng",
+      "alon g",
+      "graph ql",
+      "i nez",
+      "in ez",
+      "ine z",
+      "Ġ cite",
+      "Ġc ite",
+      "Ġcit e",
+      "Ġci te",
+      "Ġ Instructions",
+      "ĠIn structions",
+      "ĠInstruction s",
+      "Ġinsert ing",
+      "Ġinser ting",
+      ".cloud flare",
+      "c oupon",
+      "co upon",
+      "cou pon",
+      "ed List",
+      "Ġ Stores",
+      "ĠSt ores",
+      "ĠStore s",
+      "ĠSto res",
+      "_ malloc",
+      "_m alloc",
+      "ç¬ ¦",
+      "Ġ Awesome",
+      "ĠAw esome",
+      "Ġl amb",
+      "Ġla mb",
+      "Ġlam b",
+      "R EST",
+      "RE ST",
+      "RES T",
+      "Ġin test",
+      "Ġint est",
+      "Ġinte st",
+      "Ġ Navbar",
+      "ĠNav bar",
+      ". features",
+      ".f eatures",
+      ".feature s",
+      ".fe atures",
+      "In crement",
+      "Incre ment",
+      "Inc rement",
+      "ĠP om",
+      "ĠPo m",
+      "Ġins ufficient",
+      "_ LOGIN",
+      "_LO GIN",
+      "_LOG IN",
+      "P LEMENT",
+      "PL EMENT",
+      "PLE MENT",
+      "Ġ OAuth",
+      "ĠO Auth",
+      "ĠOA uth",
+      ". INFO",
+      ".IN FO",
+      "Ġex otic",
+      "Ġ CASE",
+      "ĠC ASE",
+      "ĠCA SE",
+      "ĠCAS E",
+      "ĉ ĠĠĊ",
+      "ĉĠ ĠĊ",
+      "ĉĠĠ Ċ",
+      "ĠG and",
+      "ĠGa nd",
+      "ĠGan d",
+      "th eses",
+      "the ses",
+      "thes es",
+      "these s",
+      "Ġn ovo",
+      "Ġno vo",
+      "Ġnov o",
+      "ĠD ell",
+      "ĠDe ll",
+      "ĠDel l",
+      "âĢ¦âĢ¦ âĢ¦âĢ¦",
+      "_ soft",
+      "_s oft",
+      "_so ft",
+      "Ġagre eing",
+      "Ġagree ing",
+      "c ents",
+      "ce nts",
+      "cent s",
+      "cen ts",
+      "lo an",
+      "' \",Ċ",
+      "'\" ,Ċ",
+      "'\", Ċ",
+      "ĠR an",
+      "ĠRa n",
+      "D EL",
+      "DE L",
+      "Ġorgan ised",
+      "Ġorganis ed",
+      "Ġorganise d",
+      "+ n",
+      "ĠHealth care",
+      "Ġde terior",
+      "Ġdet erior",
+      "Ġdeter ior",
+      "Ġimplement ations",
+      "Ġimplementation s",
+      "Ġc arn",
+      "Ġcar n",
+      "Ġca rn",
+      "Ġ ,'",
+      "Ġ, '",
+      "Ġ LOAD",
+      "ĠL OAD",
+      "ĠLO AD",
+      "Ġpl anted",
+      "Ġplan ted",
+      "Ġplant ed",
+      "æľ ª",
+      "Form Control",
+      "_ matches",
+      "_m atches",
+      "_match es",
+      "_mat ches",
+      "Ġperiod ic",
+      "Ġperi odic",
+      "_ To",
+      "_T o",
+      "ĠJo el",
+      "ĠJoe l",
+      "Ġan kle",
+      "Ġank le",
+      "Ġmilit ants",
+      "Ġmilitant s",
+      "ĠW itch",
+      "ĠWit ch",
+      "un iform",
+      "uni form",
+      "u enta",
+      "uen ta",
+      "uent a",
+      "Of Week",
+      "Ġperpet r",
+      "Ġinter ventions",
+      "Ġintervention s",
+      "Ġinterv entions",
+      "( writer",
+      "(w riter",
+      "(write r",
+      "ant ine",
+      "anti ne",
+      "Progress Bar",
+      "Ġle agues",
+      "Ġleague s",
+      "com press",
+      "comp ress",
+      "i zione",
+      "iz ione",
+      "izi one",
+      "izio ne",
+      "Ġ EA",
+      "ĠE A",
+      "\" ]=\"",
+      "\"] =\"",
+      "\"]= \"",
+      "ĠSte phan",
+      "ĠStep han",
+      "ĠSteph an",
+      "m inus",
+      "min us",
+      "s stream",
+      "sst ream",
+      "_ led",
+      "_l ed",
+      "_le d",
+      "Ġ================================================================= ========",
+      "Ġ============================================================== ===========",
+      "\" When",
+      "\"W hen",
+      "Al ready",
+      "Ġcon templ",
+      "Ġcont empl",
+      "Ġconte mpl",
+      "Ġa tau",
+      "Ġat au",
+      "Ġata u",
+      "ĠCongress ional",
+      "Ġrap port",
+      "Ġrapp ort",
+      "ĠB our",
+      "ĠBo ur",
+      "ĠBou r",
+      "i shi",
+      "is hi",
+      "ish i",
+      "Ġt ym",
+      "Ġty m",
+      "ĠAr men",
+      "ĠArm en",
+      "Ġ ÑĢаз",
+      "ĠÑĢ аз",
+      "ĠÑĢаР·",
+      "ĠÑĢа з",
+      "- format",
+      "-form at",
+      "-for mat",
+      "_ Read",
+      "_R ead",
+      "_Re ad",
+      "( columns",
+      "(column s",
+      "Ġne ue",
+      "Ġneu e",
+      "_ boxes",
+      "_box es",
+      "_bo xes",
+      "ĠS andy",
+      "ĠSan dy",
+      "ĠSand y",
+      "_ ,Ċ",
+      "_, Ċ",
+      "Ġ Wizard",
+      "ĠW izard",
+      "Ġ orden",
+      "Ġor den",
+      "Ġord en",
+      "Ġ filesystem",
+      "Ġfile system",
+      "Ġfiles ystem",
+      "f light",
+      "fl ight",
+      "Ġw sz",
+      "Ġws z",
+      "an celed",
+      "ance led",
+      "anc eled",
+      "ancel ed",
+      "Ġd awn",
+      "Ġda wn",
+      "ĠG son",
+      "_ warning",
+      "_w arning",
+      "_warn ing",
+      "_war ning",
+      "ĠI celand",
+      "ĠIce land",
+      "Ġs lut",
+      "Ġsl ut",
+      "Ġslu t",
+      "Ġset Is",
+      "_ ident",
+      "_id ent",
+      "_i dent",
+      "Ġoff shore",
+      "Ġ Sketch",
+      "ĠSk etch",
+      "; %",
+      "Ġtri bes",
+      "Ġtrib es",
+      "Ġtribe s",
+      "_ SPACE",
+      "_S PACE",
+      "_SP ACE",
+      "Ġ otros",
+      "Ġot ros",
+      "Ġotro s",
+      "C ompiler",
+      "Com piler",
+      "Comp iler",
+      "Compile r",
+      "ĉ End",
+      "ĉE nd",
+      "Ġ ]),Ċ",
+      "Ġ] ),Ċ",
+      "Ġ]) ,Ċ",
+      "Gr avity",
+      "Ġt ensions",
+      "Ġtens ions",
+      "Ġtension s",
+      "Ġsmooth ly",
+      "K now",
+      "Kn ow",
+      "oo thing",
+      "ooth ing",
+      "Ġ Startup",
+      "ĠStart up",
+      "ĠH yp",
+      "ĠHy p",
+      "Ġ amazon",
+      "Ġa mazon",
+      "Ġam azon",
+      "Ġama zon",
+      "Ġ Received",
+      "ĠRe ceived",
+      "ĠReceive d",
+      "ĠRece ived",
+      "z enie",
+      "ze nie",
+      "zen ie",
+      "ë ŀ",
+      "Ġ Chocolate",
+      "ĠCh ocolate",
+      "Ġ Ä°",
+      "ĠÄ °",
+      "\" No",
+      "\"N o",
+      "Ġ ALS",
+      "ĠA LS",
+      "ĠAL S",
+      "Ġ Programming",
+      "ĠProgram ming",
+      "ĠProgramm ing",
+      "ĠD ogs",
+      "ĠDo gs",
+      "ĠDog s",
+      "Ġgood ness",
+      "( errno",
+      "(err no",
+      "/ es",
+      "/e s",
+      "Ġremote ly",
+      "Ġremot ely",
+      "Ġ Hooks",
+      "ĠH ooks",
+      "ĠHo oks",
+      "ĠHook s",
+      "U uid",
+      "Ġover ly",
+      "Ġoverl y",
+      "Ġ åIJ",
+      "Ġå IJ",
+      "Ġ gpu",
+      "Ġg pu",
+      "Ġgp u",
+      "Ġstim ulus",
+      "( step",
+      "(s tep",
+      "(st ep",
+      ". You",
+      ".Y ou",
+      "Ġb iom",
+      "Ġbi om",
+      "Ġbio m",
+      "I NC",
+      "IN C",
+      ". bits",
+      ".b its",
+      ".bit s",
+      ".bi ts",
+      "(m Context",
+      "Ġ american",
+      "Ġa merican",
+      "Ġamer ican",
+      "Ġamerica n",
+      "Ġameric an",
+      "Ġterr itories",
+      "Ġterritor ies",
+      "Ġ ND",
+      "ĠN D",
+      "] \"Ċ",
+      "]\" Ċ",
+      "Ġ Mapping",
+      "ĠM apping",
+      "ĠMap ping",
+      "ĠMa pping",
+      "Ġproceed ing",
+      ". ax",
+      ".a x",
+      "Ġ substring",
+      "Ġsub string",
+      "Ġsubs tring",
+      "Ġsubstr ing",
+      "Ġsubst ring",
+      "B UTTON",
+      "ĠI g",
+      "- pane",
+      "-p ane",
+      "Ġ Ans",
+      "ĠA ns",
+      "ĠAn s",
+      "Ġgrad uation",
+      "Ġgradu ation",
+      "Ġpers pectives",
+      "Ġperspective s",
+      "M ixin",
+      "Mi xin",
+      "Mix in",
+      "_ minus",
+      "_m inus",
+      "_min us",
+      "ĉ ĉĉĉĠĠĠĠ",
+      "ĉĉ ĉĉĠĠĠĠ",
+      "ĉĉĉĉ ĠĠĠĠ",
+      "ĉĉĉ ĉĠĠĠĠ",
+      "ĉĉĉĉĠ ĠĠĠ",
+      "ĉĉĉĉĠĠĠ Ġ",
+      "ĉĉĉĉĠĠ ĠĠ",
+      "\" )))",
+      "\") ))",
+      "\")) )",
+      "normal ized",
+      "normalize d",
+      ". lastName",
+      ".last Name",
+      "Ġc lan",
+      "Ġcl an",
+      "Ġcla n",
+      "As ia",
+      "( Mouse",
+      "(M ouse",
+      "pag inate",
+      "pagina te",
+      "Ġ gif",
+      "Ġg if",
+      "Ġgi f",
+      "e lig",
+      "el ig",
+      "eli g",
+      "Ġpos ters",
+      "Ġpost ers",
+      "Ġpo sters",
+      "Ġposter s",
+      "Ġposte rs",
+      "n ings",
+      "ning s",
+      "nin gs",
+      "Ġ ÏĦ",
+      "ĠÏ Ħ",
+      "Ġa post",
+      "Ġap ost",
+      "Ġapo st",
+      "ĠIh re",
+      "ĠIhr e",
+      "Dll Import",
+      "Ġ Equal",
+      "ĠE qual",
+      "ĠEqu al",
+      "ĠEq ual",
+      "Ġd istinguished",
+      "Ġdistingu ished",
+      "Ġdistinguish ed",
+      "ne apolis",
+      "Ġback drop",
+      "Ġ Alternatively",
+      "ĠAltern atively",
+      "ĠAlternative ly",
+      "/ mod",
+      "/m od",
+      "Ġl end",
+      "Ġle nd",
+      "Ġlen d",
+      "Ġ SHOW",
+      "ĠS HOW",
+      "ĠSH OW",
+      "_ codes",
+      "_c odes",
+      "_code s",
+      "_co des",
+      "_cod es",
+      "Ġa té",
+      "Ġat é",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "- case",
+      "-c ase",
+      "-ca se",
+      "c hte",
+      "ch te",
+      "cht e",
+      "Ġdo nc",
+      "Ġdon c",
+      ": add",
+      ":a dd",
+      "N egative",
+      "Neg ative",
+      "f avorite",
+      "favor ite",
+      "Ġattr actions",
+      "Ġattract ions",
+      "Ġattraction s",
+      "int Color",
+      "ĠP ir",
+      "ĠPi r",
+      "Con nell",
+      "Conn ell",
+      "Man ifest",
+      "te ams",
+      "team s",
+      "tea ms",
+      "Ġ };ĊĊĊ",
+      "Ġ} ;ĊĊĊ",
+      "Ġ};Ċ ĊĊ",
+      "Ġ};ĊĊ Ċ",
+      "Ġ}; ĊĊĊ",
+      "Ġ plural",
+      "Ġpl ural",
+      "Ġplur al",
+      "Ġplu ral",
+      "Ġo vertime",
+      "Ġover time",
+      "Ġov ertime",
+      "Ġovert ime",
+      "ĠEuro pa",
+      "ĠEu ropa",
+      "ĠEurop a",
+      "ĠEur opa",
+      "ĠBang ladesh",
+      "( an",
+      "(a n",
+      "Ġl ingu",
+      "Ġlin gu",
+      "Ġling u",
+      "i time",
+      "it ime",
+      "iti me",
+      "in ston",
+      "ins ton",
+      "inst on",
+      ". shadow",
+      ".sh adow",
+      "ç¨ ĭ",
+      "ĠU SS",
+      "ĠUS S",
+      "Server Error",
+      "I VERS",
+      "IV ERS",
+      "IVE RS",
+      "IVER S",
+      "ĠJ in",
+      "ĠJi n",
+      "Ġh umble",
+      "Ġhum ble",
+      "aut oload",
+      "auto load",
+      "a rez",
+      "ar ez",
+      "are z",
+      "âĢ ²",
+      "ĠA str",
+      "ĠAs tr",
+      "ĠAst r",
+      "i colon",
+      "ic olon",
+      "ico lon",
+      "icol on",
+      ".View Models",
+      ".ViewModel s",
+      "o bo",
+      "ob o",
+      "Ġs wipe",
+      "Ġsw ipe",
+      "Ġre cession",
+      "Ġrec ession",
+      "Ġrecess ion",
+      "é ķ",
+      "Ġ ìĺ",
+      "Ġì ĺ",
+      "n erg",
+      "ne rg",
+      "ner g",
+      "ing redient",
+      "mail to",
+      "ĠF ame",
+      "ĠFa me",
+      "ĠFam e",
+      "Print ing",
+      "P ixels",
+      "Pixel s",
+      "Pix els",
+      "ĠB ash",
+      "ĠBa sh",
+      "ĠBas h",
+      "p osta",
+      "pos ta",
+      "post a",
+      "po sta",
+      "_ JO",
+      "_J O",
+      "Ġinf amous",
+      "ĠL anc",
+      "ĠLa nc",
+      "ĠLan c",
+      "( localStorage",
+      "(local Storage",
+      ".b lit",
+      ".bl it",
+      "Ġyoung est",
+      "Ġ fieldName",
+      "Ġfield Name",
+      "Ġcon ting",
+      "Ġcont ing",
+      "Ġcontin g",
+      "Ġw ool",
+      "Ġwo ol",
+      "Ġwoo l",
+      "Ġ ImGui",
+      "ĠIm Gui",
+      "Ġ NST",
+      "ĠN ST",
+      "ĠNS T",
+      ". prefix",
+      ".p refix",
+      ".pre fix",
+      ".pref ix",
+      "To Int",
+      "ĠS ox",
+      "ĠSo x",
+      "Ġhab itat",
+      "Ġhabit at",
+      "( \"|",
+      "(\" |",
+      "=' \"+",
+      "='\" +",
+      "ING TON",
+      "_ wrap",
+      "_w rap",
+      "_wr ap",
+      "uck ets",
+      "ucket s",
+      "Ġ WRITE",
+      "ĠW RITE",
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+      "ĠC LI",
+      "ĠCL I",
+      ") initWith",
+      ")init With",
+      "- Za",
+      "-Z a",
+      "_ CLEAR",
+      "_C LEAR",
+      "_CL EAR",
+      "re gn",
+      "reg n",
+      "Ġfin ances",
+      "Ġfinance s",
+      "Ġfinanc es",
+      "Ġfinan ces",
+      ". standard",
+      ".st andard",
+      "_ CATEGORY",
+      "_C ATEGORY",
+      ". library",
+      ".l ibrary",
+      ".lib rary",
+      "Ġtravel ers",
+      "Ġtraveler s",
+      "_ wp",
+      "_w p",
+      "Ġ Evaluation",
+      "ĠE valuation",
+      "ĠEval uation",
+      "ĠEvalu ation",
+      "start ing",
+      "star ting",
+      "Ġ )),Ċ",
+      "Ġ) ),Ċ",
+      "Ġ)) ,Ċ",
+      "ep isode",
+      "Ġ Variant",
+      "ĠV ariant",
+      "ĠVar iant",
+      "ĠVari ant",
+      "Ġ daemon",
+      "Ġda emon",
+      "ĠJ ulia",
+      "ĠJul ia",
+      "ĠJu lia",
+      "ĠJuli a",
+      "Ġ NR",
+      "ĠN R",
+      "Ġd oubles",
+      "Ġdouble s",
+      "Ġdoub les",
+      "Ġdou bles",
+      "< v",
+      "/ runtime",
+      "/r untime",
+      "/run time",
+      "Ġ interpreter",
+      "Ġinter preter",
+      "Ġinterpret er",
+      "Ġinterpre ter",
+      "Ġ INDEX",
+      "ĠIN DEX",
+      "ĠIND EX",
+      "ĠHol mes",
+      "_ DIM",
+      "_D IM",
+      "_DI M",
+      "Ġp addle",
+      "Ġpad dle",
+      "Ġpadd le",
+      "_ example",
+      "_ex ample",
+      "_exam ple",
+      "Ġ foreground",
+      "Ġfore ground",
+      ". routes",
+      ".r outes",
+      ".route s",
+      ".ro utes",
+      "Ġs owie",
+      "Ġso wie",
+      "Ġsow ie",
+      "S UCCESS",
+      "Ġ CDC",
+      "ĠC DC",
+      "ĠCD C",
+      "Ġ BD",
+      "ĠB D",
+      "_ -",
+      "as ured",
+      "asure d",
+      "asu red",
+      "W riting",
+      "Wr iting",
+      "Ġ currentPage",
+      "Ġcurrent Page",
+      "( answer",
+      "(ans wer",
+      "(an swer",
+      "Ġ ASCII",
+      "ĠA SCII",
+      "ĠASC II",
+      "à ¨",
+      "Ġsocial ly",
+      "Ġsoc ially",
+      "Ġsoci ally",
+      "y yy",
+      "yy y",
+      "ĠSpecial ist",
+      "( customer",
+      "(c ustomer",
+      "(custom er",
+      "ist ani",
+      "istan i",
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+      "k est",
+      "ke st",
+      "kes t",
+      "ĠM ak",
+      "ĠMa k",
+      "Ġt ho",
+      "Ġth o",
+      ". pt",
+      ".p t",
+      "( comment",
+      "(com ment",
+      "(comm ent",
+      "Ġ Converter",
+      "ĠCon verter",
+      "ĠConvert er",
+      "g am",
+      "ga m",
+      "b ins",
+      "bin s",
+      "bi ns",
+      ". tele",
+      ".t ele",
+      ".te le",
+      ".tel e",
+      "ĠVeter ans",
+      "ĠVeteran s",
+      "_ ALLOC",
+      "_AL LOC",
+      "_ALL OC",
+      "олÑĮзов аÑĤ",
+      "inn amon",
+      "; width",
+      "o hl",
+      "oh l",
+      "Ġf antas",
+      "Ġfan tas",
+      "Ġfant as",
+      "Ġs ung",
+      "Ġsu ng",
+      "Ġsun g",
+      "ĉ K",
+      "( Json",
+      "(J son",
+      "Ġneighbour hood",
+      "Ġv ow",
+      "Ġvo w",
+      "Ġs ins",
+      "Ġsi ns",
+      "Ġsin s",
+      "on acci",
+      "ona cci",
+      "Ġ epochs",
+      "Ġepoch s",
+      "im agen",
+      "image n",
+      "ima gen",
+      "imag en",
+      ". Change",
+      ".Ch ange",
+      ".my batis",
+      "Se ek",
+      "See k",
+      "W ER",
+      "WE R",
+      "管 çIJĨ",
+      "Ġinter ess",
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+      "Ġinteres s",
+      "_ Event",
+      "_E vent",
+      "ed erland",
+      "eder land",
+      "Ġterr itor",
+      "Ġci udad",
+      "uc ked",
+      "uck ed",
+      "Ġsn ack",
+      "Ġsna ck",
+      "Ġtrans ported",
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+      "Ġtransporte d",
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+      "Ġ DAT",
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+      "_ theta",
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+      "_the ta",
+      "Ġw ont",
+      "Ġwon t",
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+      ". ĊĊĊĊĊĊĊĊĊĊ",
+      ".ĊĊ ĊĊĊĊĊĊĊĊ",
+      ".Ċ ĊĊĊĊĊĊĊĊĊ",
+      ".ĊĊĊĊ ĊĊĊĊĊĊ",
+      ".ĊĊĊ ĊĊĊĊĊĊĊ",
+      ".ĊĊĊĊĊĊ ĊĊĊĊ",
+      ".ĊĊĊĊĊĊĊĊ ĊĊ",
+      ".ĊĊĊĊĊ ĊĊĊĊĊ",
+      "Ĭ¶ æĢģ",
+      "ĠE pic",
+      "ĠEp ic",
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+      "De ck",
+      "Dec k",
+      "l tra",
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+      "_ ZERO",
+      "_Z ERO",
+      "Ġ[ ];",
+      "Ġ[] ;",
+      "/ scripts",
+      "/s cripts",
+      "/script s",
+      "Ġ --------------------------------------------------------------------------------",
+      "Ġ---------------------------------------------------------------- ----------------",
+      "Ġ---- ----------------------------------------------------------------------------",
+      "Ġ---------------- ----------------------------------------------------------------",
+      "Ġ------------------------------------------------ --------------------------------",
+      "Ġ-------------------------------- ------------------------------------------------",
+      "Ġ---------------------------------------------------------------------------- ----",
+      "Ġ---------- ----------------------------------------------------------------------",
+      "Ġ------------------------------------------------------------ --------------------",
+      "Ġ------------------------------------------------------------------------- -------",
+      "æĥ ħ",
+      "Ġ weed",
+      "Ġw eed",
+      "Ġwe ed",
+      "Ġwee d",
+      "N BC",
+      "NB C",
+      "Ġr aped",
+      "Ġrap ed",
+      "Ġra ped",
+      "Ġrape d",
+      "Ġ Gateway",
+      "ĠG ateway",
+      "ĠGate way",
+      "ĠGat eway",
+      "[ M",
+      "Ġ Timeout",
+      "ĠTime out",
+      "ench mark",
+      ". ViewModel",
+      ".View Model",
+      "Ġporn os",
+      "Ġpor nos",
+      "Ġporno s",
+      "Ġ Ya",
+      "ĠY a",
+      "th ritis",
+      "thr itis",
+      "ĠFl ynn",
+      "ĠFly nn",
+      "Ġ mega",
+      "Ġm ega",
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+      "Ġmeg a",
+      "a cin",
+      "ac in",
+      "aci n",
+      "Ġtr ibal",
+      "Ġtri bal",
+      "Ġtrib al",
+      ". apple",
+      ".app le",
+      ".ap ple",
+      "Ġ Blo",
+      "ĠB lo",
+      "ĠBl o",
+      "â n",
+      "i bi",
+      "ib i",
+      "r ov",
+      "ro v",
+      "ĠL ives",
+      "ĠLive s",
+      "ĠLi ves",
+      "ĠLiv es",
+      "^ .",
+      "get Request",
+      "Ġ Establish",
+      "ĠEst ablish",
+      "cont ainers",
+      "container s",
+      "contain ers",
+      "Ġst arring",
+      "Ġstar ring",
+      "Ġcele brities",
+      "Ġcelebr ities",
+      "Ġ Relative",
+      "ĠRel ative",
+      "ĠHe ights",
+      "ĠHeight s",
+      "Ġtq dm",
+      "ĠNorth west",
+      "i vic",
+      "iv ic",
+      "ivi c",
+      "ĉ cl",
+      "ĉc l",
+      "Ġautom otive",
+      "ent ric",
+      "entr ic",
+      "Ġ fortunate",
+      "Ġfort unate",
+      "Ġfire place",
+      "Ġfi replace",
+      "se ud",
+      "n ickname",
+      "nick name",
+      "; s",
+      "_ CAL",
+      "_C AL",
+      "_CA L",
+      "h alt",
+      "ha lt",
+      "hal t",
+      "( ns",
+      "(n s",
+      "_ deleted",
+      "_de leted",
+      "_delete d",
+      "_del eted",
+      "De velopment",
+      "Dev elopment",
+      "Develop ment",
+      "m ovies",
+      "movie s",
+      "mov ies",
+      "Ġid entities",
+      "Ġident ities",
+      "Ġprompt ly",
+      "ا ÙĨ",
+      "ا٠Ĩ",
+      "Ġ ante",
+      "Ġa nte",
+      "Ġan te",
+      "Ġant e",
+      "Ġ\" ','",
+      "Ġ\"' ,'",
+      "Ġ\"', '",
+      "åı £",
+      "imp se",
+      "imps e",
+      "Ġy ap",
+      "Ġya p",
+      "Type Name",
+      "Ġb itch",
+      "Ġbit ch",
+      "Ġassoci ates",
+      "Ġassociate s",
+      "Ġassoc iates",
+      "HE ME",
+      "- empty",
+      "-em pty",
+      "Ġ ت",
+      "ĠØ ª",
+      "ol vers",
+      "olve rs",
+      "olver s",
+      "olv ers",
+      "Ġp istol",
+      "Ġpist ol",
+      "Ġpis tol",
+      "Sc oped",
+      "Scope d",
+      "ag ner",
+      "agn er",
+      "agne r",
+      "' ]=='",
+      "'] =='",
+      "']= ='",
+      "']== '",
+      "Ġ IMP",
+      "ĠI MP",
+      "ĠIM P",
+      "e xc",
+      "ex c",
+      "Ġo mitted",
+      "Ġom itted",
+      "Ġomit ted",
+      "Ġmind set",
+      "Ġminds et",
+      "Ġ [](",
+      "Ġ[ ](",
+      "Ġ[] (",
+      "Ġ orn",
+      "Ġo rn",
+      "Ġor n",
+      "_ CAM",
+      "_C AM",
+      "_CA M",
+      "A vg",
+      "Av g",
+      "Localized String",
+      "ĠN atur",
+      "ĠNa tur",
+      "ĠNat ur",
+      "Ġ composer",
+      "Ġcom poser",
+      "Ġcomp oser",
+      "Ġcompose r",
+      "Ġcompos er",
+      "Ġ Playing",
+      "ĠPl aying",
+      "ĠPlay ing",
+      "ĠPla ying",
+      "Ġover d",
+      "Ġov erd",
+      "_ utf",
+      "_u tf",
+      "_ut f",
+      ". sk",
+      ".s k",
+      "ĠF ol",
+      "ĠFo l",
+      "$ page",
+      "$p age",
+      ", Object",
+      ",O bject",
+      "Ġb ees",
+      "Ġbe es",
+      "Ġbee s",
+      "al ary",
+      "ala ry",
+      "alar y",
+      "b ullet",
+      "bul let",
+      "bull et",
+      "_ library",
+      "_l ibrary",
+      "_lib rary",
+      "O ffer",
+      "Of fer",
+      "Off er",
+      "loc ated",
+      "locate d",
+      "Ġ (_,",
+      "Ġ( _,",
+      "Ġ(_ ,",
+      "âĢľ He",
+      "Ġ Owners",
+      "ĠOwn ers",
+      "ĠOwner s",
+      "ĠOw ners",
+      ") ).Ċ",
+      ")) .Ċ",
+      ")). Ċ",
+      "Ġb ri",
+      "Ġbr i",
+      ". Admin",
+      ".Ad min",
+      "k tion",
+      "kt ion",
+      "лÑİ Ñĩ",
+      "Ġerot ici",
+      "Ġerotic i",
+      "Cancel led",
+      "Ġ agr",
+      "Ġa gr",
+      "Ġag r",
+      "re views",
+      "review s",
+      "_ dma",
+      "_d ma",
+      "_dm a",
+      "R ICT",
+      "RI CT",
+      "RIC T",
+      "Ġ gfx",
+      "Ġg fx",
+      "Ġgf x",
+      "m pi",
+      "mp i",
+      "p po",
+      "pp o",
+      "Ġ //@",
+      "Ġ// @",
+      "Ġ/ /@",
+      "Ġ uppercase",
+      "Ġupper case",
+      "Ġcomm itting",
+      "Ġcommit ting",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "User Data",
+      "Ġv ai",
+      "Ġva i",
+      "ĉ sort",
+      "ĉs ort",
+      "Ġcongr at",
+      "Ġcong rat",
+      "Ġd ioxide",
+      "Ġdi oxide",
+      "д а",
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+      ".a rea",
+      ".ar ea",
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+      "ĠJos hua",
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+      "_ break",
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+      "_AL PHA",
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+      "Ġelimin ating",
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+      "( *(",
+      "(* (",
+      "ERT ICAL",
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+      "Ġling er",
+      "/ doc",
+      "/d oc",
+      "/do c",
+      "Å º",
+      "Ġ Already",
+      "ĠAl ready",
+      "as io",
+      "asi o",
+      "Ġ --Ċ",
+      "Ġ- -Ċ",
+      "Ġ-- Ċ",
+      "Ġ abbrev",
+      "Ġabb rev",
+      "Ġ Atom",
+      "ĠA tom",
+      "ĠAt om",
+      "h im",
+      "hi m",
+      "Ġ INSERT",
+      "ĠINS ERT",
+      "s un",
+      "su n",
+      "âĻ ª",
+      "CON NECT",
+      "CONN ECT",
+      "er ator",
+      "era tor",
+      "ĠM anning",
+      "ĠMan ning",
+      "ĠMann ing",
+      "Ġ :(",
+      "Ġ: (",
+      "g as",
+      "ga s",
+      "= >'",
+      "=> '",
+      "Ġquery set",
+      "; }čĊ",
+      ";} čĊ",
+      "Ġ Population",
+      "ĠPop ulation",
+      "uted String",
+      "res ident",
+      "resi dent",
+      "_ FONT",
+      "_F ONT",
+      "Ġ Respond",
+      "ĠRes pond",
+      "ĠResp ond",
+      "Ġobsc ure",
+      "Ġ observable",
+      "Ġo bservable",
+      "Ġobserv able",
+      "ĠContrib utors",
+      "ĠContributor s",
+      "k on",
+      "ko n",
+      "ĠM usk",
+      "ĠMus k",
+      "ĠMu sk",
+      "ex ao",
+      "ĠT ub",
+      "ĠTu b",
+      "Boot Application",
+      "S OR",
+      "SO R",
+      ". Horizontal",
+      ".H orizontal",
+      ". findBy",
+      ".find By",
+      ". power",
+      ".p ower",
+      ".pow er",
+      ".po wer",
+      "Ġpositive ly",
+      "Ġposit ively",
+      "ven ience",
+      "ĠJ ong",
+      "ĠJo ng",
+      "ĠJon g",
+      "Ġwh istle",
+      "Ġ знаÑĩ",
+      "Ġз наÑĩ",
+      "Ġзна Ñĩ",
+      "Ġзн аÑĩ",
+      "Ġl ending",
+      "Ġlen ding",
+      "Ġlend ing",
+      "Ġdestruct ive",
+      "Ġ onDelete",
+      "Ġon Delete",
+      "author ization",
+      "() ;?>",
+      "(); ?>",
+      "_ original",
+      "_or iginal",
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+      "at ra",
+      "atr a",
+      "?, ?,",
+      "Ġ Asc",
+      "ĠA sc",
+      "ĠAs c",
+      "Ġconvin cing",
+      "Ġconvinc ing",
+      "$ a",
+      "or gen",
+      "org en",
+      "orge n",
+      "_ Date",
+      "_D ate",
+      "Ġ Provide",
+      "ĠPro vide",
+      "ĠProvid e",
+      "ĠProv ide",
+      "Ġlon ely",
+      "Ġlone ly",
+      ") 'Ċ",
+      ")' Ċ",
+      "ex change",
+      "; ?>Ċ",
+      ";?> Ċ",
+      ". fast",
+      ".f ast",
+      ".fa st",
+      "S amples",
+      "Sample s",
+      "Sam ples",
+      "L ondon",
+      "Lo ndon",
+      "Lon don",
+      "' ])čĊ",
+      "'] )čĊ",
+      "']) čĊ",
+      "Ġ Ionic",
+      "ĠI onic",
+      "ĠIo nic",
+      "ĠIon ic",
+      "Ġp esso",
+      "Ġpes so",
+      "ĠKn ights",
+      "ĠKnight s",
+      "ĠR af",
+      "ĠRa f",
+      "_ attrs",
+      "_at trs",
+      "_attr s",
+      "_att rs",
+      "Ġrepe al",
+      "> Main",
+      ">M ain",
+      "Ġ Ordered",
+      "ĠOrder ed",
+      "ĠOrd ered",
+      "_ New",
+      "_N ew",
+      "=\" \"></",
+      "=\"\" ></",
+      "=\"\"> </",
+      "=\"\">< /",
+      "url patterns",
+      "ATION AL",
+      "ATIO NAL",
+      "pe ech",
+      "pee ch",
+      "ĠId aho",
+      "Ġpr incess",
+      "Ġprince ss",
+      "Ġprin cess",
+      "Ġprinc ess",
+      "Ġprinces s",
+      "Ġ Customers",
+      "ĠCustom ers",
+      "ĠCustomer s",
+      "ĠCust omers",
+      "a ways",
+      "aw ays",
+      "away s",
+      "awa ys",
+      "a db",
+      "ad b",
+      "ĠBry ant",
+      "ĠBryan t",
+      "n once",
+      "no nce",
+      "non ce",
+      "Ġad ul",
+      "Ġ` `(",
+      "Ġ`` (",
+      "Ġafter math",
+      "= dict",
+      "=d ict",
+      "text Box",
+      "Ġs perm",
+      "Ġsp erm",
+      "Ġspe rm",
+      "Ġsper m",
+      "Ġc ough",
+      "Ġco ugh",
+      "Ġcou gh",
+      "H or",
+      "Ho r",
+      "âĢĻ S",
+      ".Component ResourceManager",
+      "Ġreg ulator",
+      "Ġregul ator",
+      "Ġpartner ships",
+      "Ġpartners hips",
+      "Ġpartnership s",
+      "/ projects",
+      "/project s",
+      "t rys",
+      "tr ys",
+      "try s",
+      "ĠL aser",
+      "ĠLa ser",
+      "ĠLas er",
+      "⣠©",
+      "ĠF unk",
+      "ĠFun k",
+      "ĠFu nk",
+      "Ġun conscious",
+      "Ġuncon scious",
+      "Ġc rust",
+      "Ġcr ust",
+      "Ġcru st",
+      "Ġcrus t",
+      "Ġ Teams",
+      "ĠTe ams",
+      "ĠTeam s",
+      "ĠTea ms",
+      "Ġ Banner",
+      "ĠB anner",
+      "ĠBan ner",
+      "ĠH oney",
+      "ĠHon ey",
+      "ĠHo ney",
+      "l ems",
+      "le ms",
+      "lem s",
+      "Ġmax Width",
+      "Pointer Exception",
+      "fade Out",
+      "- St",
+      "-S t",
+      "Ġstr angers",
+      "Ġstrange rs",
+      "Ġstranger s",
+      "Ġstrang ers",
+      "Ġstran gers",
+      "_ GO",
+      "_G O",
+      "W ritable",
+      "Wr itable",
+      "_ Info",
+      "_In fo",
+      ". NonNull",
+      ".Non Null",
+      "an notations",
+      "annot ations",
+      "annotation s",
+      "Ġ GD",
+      "ĠG D",
+      "Ġendorse d",
+      "Ġendors ed",
+      "ĉToken Name",
+      "Ġ Depending",
+      "ĠDe pending",
+      "ĠDep ending",
+      "ĠDepend ing",
+      "YN AM",
+      "Ġ Meteor",
+      "ĠM eteor",
+      "ĠMet eor",
+      "Ġ Increase",
+      "ĠIn crease",
+      "ĠIncre ase",
+      ". Many",
+      ".M any",
+      ".Man y",
+      ".Ma ny",
+      "= =(",
+      "== (",
+      ". UUID",
+      ".U UID",
+      "_ KERNEL",
+      "_K ERNEL",
+      "Ġvid é",
+      "Ġ pq",
+      "Ġp q",
+      "ĠQt Gui",
+      "Ġ Various",
+      "ĠV arious",
+      "ĠVar ious",
+      "ĠVa rious",
+      "ĠVari ous",
+      "Ġ john",
+      "Ġj ohn",
+      "Ġjo hn",
+      "_ patch",
+      "_p atch",
+      "_pat ch",
+      "Ġt outes",
+      "Ġto utes",
+      "Ġtou tes",
+      "Ġtout es",
+      "Ġtoute s",
+      "Ġ Fail",
+      "ĠF ail",
+      "ĠFa il",
+      "Ġsurv iving",
+      "Ġsurviv ing",
+      "( \"${",
+      "(\" ${",
+      "(\"$ {",
+      "Ġ ĠĠĠĠĠĠčĊ",
+      "ĠĠ ĠĠĠĠĠčĊ",
+      "ĠĠĠĠ ĠĠĠčĊ",
+      "ĠĠĠ ĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠ čĊ",
+      "ĠĠĠĠĠ ĠĠčĊ",
+      "ĠĠĠĠĠĠ ĠčĊ",
+      "Ġ imageUrl",
+      "Ġimage Url",
+      ". wordpress",
+      ".word press",
+      "s ources",
+      "source s",
+      "ĉgl Vertex",
+      "âĢĻ a",
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+      "Ġesc ol",
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+      "RA RY",
+      "RAR Y",
+      "Ġ Snake",
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+      "Ġqu int",
+      "Ġq uint",
+      "Ġqui nt",
+      "Ġl asts",
+      "Ġla sts",
+      "Ġlast s",
+      "Ġlas ts",
+      "ĠHar mon",
+      "ĠHarm on",
+      "Ġ coil",
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+      "Ġcoi l",
+      "Ġexplo itation",
+      "Ġexploit ation",
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+      "le en",
+      "lee n",
+      "' >\";Ċ",
+      "'> \";Ċ",
+      "'>\" ;Ċ",
+      "Ġ SERVER",
+      "ĠS ERVER",
+      "ĠSER VER",
+      "Ġ HEADER",
+      "ĠHE ADER",
+      "ĠHEAD ER",
+      "_ velocity",
+      "_v elocity",
+      "_vel ocity",
+      "Ġ Invoke",
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+      "ĠInv oke",
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+      "Ġsu lf",
+      "Ġsul f",
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+      "Ġinhabit ants",
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+      "Ġmo no",
+      "L egend",
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+      "Ġ nonce",
+      "Ġn once",
+      "Ġno nce",
+      "Ġnon ce",
+      "I FE",
+      "IF E",
+      "; \";Ċ",
+      ";\" ;Ċ",
+      "- create",
+      "-c reate",
+      "\" \",Ċ",
+      "\"\" ,Ċ",
+      "\"\", Ċ",
+      "per mit",
+      "perm it",
+      "ĠIm migration",
+      "ĠImm igration",
+      "Ġ pathname",
+      "Ġpath name",
+      "ff ective",
+      "ffect ive",
+      "âĻĢ âĻĢ",
+      "Ġex ams",
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+      "_trait s",
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+      "Ġs unt",
+      "Ġsu nt",
+      "Ġsun t",
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+      "Ø ²",
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+      "Ġirre levant",
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+      "ĠTi gers",
+      "ĠTiger s",
+      "ĠTig ers",
+      "Ġ diag",
+      "Ġd iag",
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+      "Ġdia g",
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+      "Ġ Favorite",
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+      "([ ]);Ċ",
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+      "Ġ hunter",
+      "Ġh unter",
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+      "-opt ions",
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+      "_S OCKET",
+      "_SO CKET",
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+      "_f in",
+      "ĠDel aware",
+      "Ġsher iff",
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+      "-in valid",
+      "Ġ FULL",
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+      "Ġп од",
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+      "el as",
+      "ela s",
+      "\" strings",
+      "ĠRepresent atives",
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+      "s urface",
+      "sur face",
+      "surf ace",
+      "res olved",
+      "resolve d",
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+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
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+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
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+      "Ġundergrad uate",
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+      ".Inf rastructure",
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+      "ĠKa b",
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+      "Ġadvisor y",
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+      "in form",
+      "info rm",
+      "inf orm",
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+      ".em bed",
+      "Ġ errorCode",
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+      "Ġimage ry",
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+      "co nc",
+      "_ missing",
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+      "K S",
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+      "r ium",
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+      "co al",
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+      "Ġspl its",
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+      "Inc orrect",
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+      "aci fic",
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+      ".v olume",
+      ".vol ume",
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+      "Ġmirror s",
+      "#### ############################################################################",
+      "######## ########################################################################",
+      "################ ################################################################",
+      "################################ ################################################",
+      "################################################################ ################",
+      "################################################ ################################",
+      "############################################################################ ####",
+      "######################################################################## ########",
+      "######################################## ########################################",
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+      "Ġsoci o",
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+      "ĠStep h",
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+      "_custom ize",
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+      "Ġmill enn",
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+      "Ġobe y",
+      "Ġoff enders",
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+      "Ġoffen ders",
+      "W ild",
+      "Wil d",
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+      "Ġappar atus",
+      ". after",
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+      ".af ter",
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+      "ve al",
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+      "rist ol",
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+      "Ġrefuse s",
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+      "(Q Widget",
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+      "Ġelement o",
+      "Ġelem ento",
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+      "\">' +",
+      "åĿ Ģ",
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+      "_h alf",
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+      "ĠLa bs",
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+      "ĠHam as",
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+      "Ġcr edited",
+      "Ġcred ited",
+      "Ġcredit ed",
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+      "Ġdisg u",
+      "Ġc map",
+      "Ġcm ap",
+      ". cljs",
+      ".cl js",
+      "Ġa ument",
+      "Ġau ment",
+      "l ez",
+      "le z",
+      "Ġ Joined",
+      "ĠJ oined",
+      "ĠJo ined",
+      "ĠJoin ed",
+      "ĠJoi ned",
+      "_ received",
+      "_re ceived",
+      "_receive d",
+      "Ġa erial",
+      "Ġaer ial",
+      "Ġae rial",
+      "o tel",
+      "ot el",
+      "ote l",
+      "Ġg reet",
+      "Ġgre et",
+      "\" s",
+      "Ġ Genesis",
+      "ĠGen esis",
+      "ĠGene sis",
+      "ĠCal if",
+      "ĠCa lif",
+      "pan ion",
+      "Ġtail ored",
+      "Ġtailor ed",
+      "m apping",
+      "ma pping",
+      "map ping",
+      "and Expect",
+      ". track",
+      ".t rack",
+      ".tr ack",
+      "at omy",
+      "ato my",
+      "atom y",
+      "ĠO w",
+      "ul lah",
+      "ull ah",
+      "ulla h",
+      ". Yes",
+      ".Y es",
+      "Ġ SimpleName",
+      "ĠSimple Name",
+      "d bh",
+      "db h",
+      "' en",
+      "'e n",
+      "Ġn onsense",
+      "Ġnon sense",
+      "Ġnons ense",
+      "Ġphilosoph ical",
+      "( getContext",
+      "(get Context",
+      "Ġis so",
+      "Ġiss o",
+      "Ġ ACE",
+      "ĠA CE",
+      "ĠAC E",
+      "start Date",
+      "Ġb ÄĻd",
+      "ĠAUTH OR",
+      "ĠG lobe",
+      "ĠGl obe",
+      "ĠGlo be",
+      "ĠGlob e",
+      "Ġin sects",
+      "Ġins ects",
+      "Ġinsect s",
+      "Ġinse cts",
+      "_ Al",
+      "_A l",
+      "ush ing",
+      "ushi ng",
+      "è® °",
+      "/ Home",
+      "/H ome",
+      "ĠLocal Date",
+      "ne eded",
+      "need ed",
+      "nee ded",
+      "hes ive",
+      "Ġ illusion",
+      "Ġill usion",
+      "äº Į",
+      "Ġt rat",
+      "Ġtr at",
+      "Ġtra t",
+      "x o",
+      "/ detail",
+      "/d etail",
+      "/de tail",
+      "_ MATCH",
+      "_M ATCH",
+      "_MAT CH",
+      "Ġbroad band",
+      "Ġ wal",
+      "Ġw al",
+      "Ġwa l",
+      "ĠIllegal StateException",
+      "IRE CTION",
+      "IRECT ION",
+      "Ġnor theast",
+      "Ġnorth east",
+      "es ium",
+      "esi um",
+      "Ġ Cliente",
+      "ĠCl iente",
+      "ĠClient e",
+      "ĠCli ente",
+      "ul ance",
+      "ula nce",
+      "ulan ce",
+      "n ty",
+      "nt y",
+      "Ġt ecn",
+      "Ġte cn",
+      "Ġtec n",
+      "Device s",
+      "Dev ices",
+      "Ġgr ains",
+      "Ġgrain s",
+      "Ġgra ins",
+      "ĠO g",
+      "Ġ SEL",
+      "ĠS EL",
+      "ĠSE L",
+      "ud iant",
+      "udi ant",
+      "Ġ ++;Ċ",
+      "Ġ++ ;Ċ",
+      "Ġexplan ations",
+      "Ġexplanation s",
+      "o cco",
+      "oc co",
+      "occ o",
+      "Ġd iets",
+      "Ġdi ets",
+      "Ġdie ts",
+      "Ġdiet s",
+      "Ġco hort",
+      "Ġcoh ort",
+      "( controller",
+      "(cont roller",
+      "(control ler",
+      ". Iterator",
+      ".It erator",
+      ".Iter ator",
+      "- rich",
+      "-r ich",
+      "ro cess",
+      "roc ess",
+      "G D",
+      "Ġcar bohydr",
+      "Ġ fried",
+      "Ġf ried",
+      "Ġfr ied",
+      "Ġfri ed",
+      "ĠEm ployment",
+      "ĠEmp loyment",
+      "ĠEmploy ment",
+      "ìŀ ¥",
+      "ĠLeon ard",
+      "ĠLeo nard",
+      "_ ${",
+      "_$ {",
+      "qu ares",
+      "quare s",
+      "qua res",
+      "Ġcompan ions",
+      "Ġcompanion s",
+      "Ġp aris",
+      "Ġpar is",
+      "Ġpa ris",
+      "Ġpari s",
+      "Ġst imulation",
+      "Ġstim ulation",
+      "ĠZ oo",
+      "ĠZo o",
+      "Ġre levance",
+      "Ġrelev ance",
+      "Ġ Colour",
+      "ĠCol our",
+      "ĠColo ur",
+      "Ġs pear",
+      "Ġsp ear",
+      "Ġspe ar",
+      "ot ional",
+      "otion al",
+      "oti onal",
+      "Ġ Lite",
+      "ĠL ite",
+      "ĠLi te",
+      "ĠLit e",
+      "ĠK osten",
+      "ĠKo sten",
+      "ĠKos ten",
+      "Ġ ó",
+      "ĠÃ ³",
+      "_ attachment",
+      "_att achment",
+      "_attach ment",
+      "orph ic",
+      "orp hic",
+      "Ġda mit",
+      "Ġdam it",
+      "Ġ dlg",
+      "Ġd lg",
+      "Ġdl g",
+      "Ġth rive",
+      "Ġthr ive",
+      "CH ANGE",
+      "CHAN GE",
+      "Ġ Apparently",
+      "ĠApp arently",
+      "Ġa tual",
+      "Ġat ual",
+      "Ġro oted",
+      "Ġroot ed",
+      "( images",
+      "(image s",
+      "(im ages",
+      "a wi",
+      "aw i",
+      "ar iat",
+      "ari at",
+      "aria t",
+      "Ġch erry",
+      "Ġcher ry",
+      "ST ATIC",
+      "STAT IC",
+      "m nt",
+      "mn t",
+      "Ġ UserId",
+      "ĠUser Id",
+      "il let",
+      "ill et",
+      "ille t",
+      "ĠHis panic",
+      "ĠHispan ic",
+      "Ġ nak",
+      "Ġn ak",
+      "Ġna k",
+      "Ġcent ro",
+      "Ġcentr o",
+      "Ġcen tro",
+      "Ġ dims",
+      "Ġd ims",
+      "Ġdi ms",
+      "Ġdim s",
+      "_ initialize",
+      "_initial ize",
+      "ı k",
+      "ĠCent ers",
+      "ĠCenter s",
+      "R EN",
+      "RE N",
+      "Ġevolution ary",
+      "Ġ Topics",
+      "ĠTo pics",
+      "ĠTop ics",
+      "ĠTopic s",
+      "_ damage",
+      "_d amage",
+      "_da mage",
+      "e mer",
+      "em er",
+      "eme r",
+      "Ġr und",
+      "Ġrun d",
+      "Ġru nd",
+      "Ġpun ished",
+      "Ġpunish ed",
+      "Ġc ubic",
+      "Ġcu bic",
+      "Ġcub ic",
+      "f air",
+      "fa ir",
+      "[ ];ĊĊ",
+      "[] ;ĊĊ",
+      "[];Ċ Ċ",
+      "Ġin stantiate",
+      "Ġinstant iate",
+      "Ġover see",
+      "Ġovers ee",
+      "Ġoverse e",
+      "- delete",
+      "-de lete",
+      "-del ete",
+      "unt eer",
+      "unte er",
+      "start Time",
+      "Ġ Pipeline",
+      "ĠP ipeline",
+      "ĠPipe line",
+      "ĠPip eline",
+      "_ GAME",
+      "_G AME",
+      "ĠC ir",
+      "ĠCi r",
+      "ĉ Null",
+      "ĉN ull",
+      ". Formatting",
+      ".Format ting",
+      "uc umber",
+      "ĠR ide",
+      "ĠRid e",
+      "ĠRi de",
+      "Ġz oo",
+      "Ġzo o",
+      "Ġ checker",
+      "Ġcheck er",
+      "Ġche cker",
+      "åIJ Į",
+      "= C",
+      "Ġg rit",
+      "Ġgr it",
+      "Ġgri t",
+      "\" );//",
+      "\") ;//",
+      "\"); //",
+      "_ xy",
+      "_x y",
+      "Ġ Declaration",
+      "ĠDe claration",
+      "Ġ callable",
+      "Ġcall able",
+      "F oo",
+      "Fo o",
+      "Ġ ListItem",
+      "ĠList Item",
+      "Ġin accur",
+      "m lin",
+      "ml in",
+      "ĉ Data",
+      "ĉD ata",
+      "Ġev olving",
+      "a wan",
+      "aw an",
+      "awa n",
+      "Ġc afe",
+      "Ġca fe",
+      "Ġcaf e",
+      "f olk",
+      "fo lk",
+      "fol k",
+      "_ IDX",
+      "_ID X",
+      "_I DX",
+      "Ġ Anything",
+      "ĠAny thing",
+      "ĠPalest ine",
+      "ĠPalestin e",
+      "Ġ GridView",
+      "ĠGrid View",
+      "Ġcol ony",
+      "Ġcolon y",
+      "ĠGerman s",
+      "ĠGer mans",
+      "ĠGerm ans",
+      "( +",
+      ". pid",
+      ".p id",
+      ".pi d",
+      ". jsx",
+      ".j sx",
+      ".js x",
+      "ĠSup erior",
+      "ĠSuper ior",
+      "Christ ian",
+      "ĠL ect",
+      "ĠLe ct",
+      "ĉ Game",
+      "ĉG ame",
+      "Ġinstrument al",
+      "An imations",
+      "Animation s",
+      "Anim ations",
+      "д ал",
+      "да л",
+      "ĠM oses",
+      "ĠMo ses",
+      "ĠMos es",
+      "ĉĉ čĊĉĉčĊ",
+      "ĉĉčĊ ĉĉčĊ",
+      "z s",
+      "k te",
+      "kt e",
+      "ä¸ ļ",
+      "_ DIST",
+      "_D IST",
+      "_DIS T",
+      "_DI ST",
+      "b itmap",
+      "bit map",
+      "d B",
+      "Ġp ersistence",
+      "Ġpers istence",
+      "Ġpersist ence",
+      "ÑĢ оÑģ",
+      "ÑĢо Ñģ",
+      "$ l",
+      "B ron",
+      "Br on",
+      "Bro n",
+      "Ġ {|",
+      "Ġ{ |",
+      "_ chart",
+      "_c hart",
+      "_ch art",
+      "_char t",
+      "Ġ Consum",
+      "ĠCon sum",
+      "ĠCons um",
+      "Ġh emp",
+      "Ġhe mp",
+      "Ġhem p",
+      "Ġ \"))Ċ",
+      "Ġ\" ))Ċ",
+      "Ġ\") )Ċ",
+      "Ġ\")) Ċ",
+      "Ġatt ackers",
+      "Ġattack ers",
+      "Ġattacker s",
+      "Ġknowledge able",
+      "Ġc et",
+      "Ġce t",
+      "Ġvir uses",
+      "Ġvirus es",
+      "' I",
+      "Ġpitch er",
+      "Ġpit cher",
+      "Ġswe eping",
+      "Ġsweep ing",
+      "= list",
+      "=l ist",
+      "apt ops",
+      "aptop s",
+      ". depth",
+      ".de pth",
+      ".dep th",
+      "Ġinstruct ed",
+      "Ġ Rus",
+      "ĠR us",
+      "ĠRu s",
+      "benh avn",
+      "Ġ ин",
+      "Ġи н",
+      "S ports",
+      "Sp orts",
+      "Sport s",
+      "Spo rts",
+      "Ġon set",
+      "Ġons et",
+      "æĿ ĥ",
+      ". RED",
+      ".R ED",
+      ".RE D",
+      "_ si",
+      "_s i",
+      "ĠP ST",
+      "ĠPS T",
+      ". onChange",
+      ".on Change",
+      "> tag",
+      ">t ag",
+      "ĠR oh",
+      "ĠRo h",
+      "_ character",
+      "_char acter",
+      "ĠL aws",
+      "ĠLa ws",
+      "ĠLaw s",
+      "Ġ Bachelor",
+      "ĠB achelor",
+      "ĠBach elor",
+      "_ swap",
+      "_s wap",
+      "_sw ap",
+      ".re activex",
+      "Ġreward ing",
+      "Ġrew arding",
+      "M edium",
+      "Med ium",
+      "- [",
+      "Ġ Recently",
+      "ĠRec ently",
+      "ĠRecent ly",
+      "J oint",
+      "Join t",
+      "Jo int",
+      "part ition",
+      "Ġ Minutes",
+      "ĠMin utes",
+      "ĠMinute s",
+      "Ġ indo",
+      "Ġin do",
+      "Ġi ndo",
+      "Ġind o",
+      "Ġabsor bed",
+      "Ġabsorb ed",
+      "Ġ GN",
+      "ĠG N",
+      "_ IND",
+      "_IN D",
+      "_I ND",
+      "Ġs aber",
+      "Ġsa ber",
+      "Ġsab er",
+      "Ġsabe r",
+      "S pawn",
+      "Sp awn",
+      "out puts",
+      "output s",
+      "ĠJeff rey",
+      "Ġmed ieval",
+      "Ġmedi eval",
+      "h ed",
+      "he d",
+      "G uide",
+      "Gui de",
+      "Guid e",
+      "Gu ide",
+      "Ġpsych o",
+      "Ġpsy cho",
+      "Ġg lam",
+      "Ġgl am",
+      "E lim",
+      "El im",
+      "äd chen",
+      "_ plain",
+      "_p lain",
+      "_pl ain",
+      "Ġ Sau",
+      "ĠS au",
+      "ĠSa u",
+      "- four",
+      "-f our",
+      "Ġanaly zing",
+      "QUE RY",
+      "QU ERY",
+      "Ġtom ato",
+      "_ buttons",
+      "_button s",
+      "_but tons",
+      "V EN",
+      "VE N",
+      ". setStatus",
+      ".set Status",
+      ". Url",
+      ".U rl",
+      "+ ĊĊ",
+      "+Ċ Ċ",
+      "Ġcompl aining",
+      "Ġcomplain ing",
+      "d egree",
+      "de gree",
+      "deg ree",
+      "conf irmed",
+      "confirm ed",
+      "Ġsu bt",
+      "Ġsub t",
+      "p arsed",
+      "par sed",
+      "parse d",
+      "pars ed",
+      "Ġt orque",
+      "Ġtor que",
+      "Ġtrouble d",
+      "Ġtroub led",
+      "Ġtrou bled",
+      "Ġ TARGET",
+      "ĠT ARGET",
+      "ĠTAR GET",
+      "Ġtrad emarks",
+      "Ġtrade marks",
+      "Ġtrademark s",
+      "Ġ Coordinate",
+      "ĠCo ordinate",
+      "ĠCoord inate",
+      "ĠV iv",
+      "ĠVi v",
+      "Ġ //}ĊĊ",
+      "Ġ// }ĊĊ",
+      "Ġ//}Ċ Ċ",
+      "Ġapr ès",
+      ". getPosition",
+      ".get Position",
+      ".getP osition",
+      "( KeyCode",
+      "(Key Code",
+      "ĠSil va",
+      "Ġ meteor",
+      "Ġm eteor",
+      "Ġmet eor",
+      "Ġendorse ment",
+      "Ġendors ement",
+      "Over view",
+      "Ġ Poss",
+      "ĠP oss",
+      "ĠPo ss",
+      "ĠPos s",
+      ". Inject",
+      ".In ject",
+      "Ġeven ly",
+      "Ġ visualization",
+      "Ġvisual ization",
+      "Ġ wchar",
+      "Ġw char",
+      "Ġwc har",
+      "ĠH DMI",
+      "ĠHD MI",
+      "Ġf unct",
+      "Ġfun ct",
+      "Ġfunc t",
+      "ick name",
+      "',' ','",
+      "','', '",
+      "Ġfor wards",
+      "Ġforward s",
+      "Managed Object",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĉ server",
+      "ĉs erver",
+      "ĠOut look",
+      "ĠChron icle",
+      "ĠChronic le",
+      "Ġdub bed",
+      "Ġd ok",
+      "Ġdo k",
+      "ĠW ear",
+      "ĠWe ar",
+      ". AL",
+      ".A L",
+      "p aren",
+      "par en",
+      "pare n",
+      "pa ren",
+      ". Interface",
+      ".Inter face",
+      "Inter faces",
+      "Interface s",
+      ". cod",
+      ".c od",
+      ".co d",
+      "Ġd ib",
+      "Ġdi b",
+      ".Global ization",
+      "ĠAc ademic",
+      "ĠAcad emic",
+      "ĠAcadem ic",
+      "Ġas sms",
+      "Ġass ms",
+      "A utom",
+      "Auto m",
+      "Aut om",
+      "Au tom",
+      "Ġ lw",
+      "Ġl w",
+      "Ġ NW",
+      "ĠN W",
+      "Ġ&& čĊ",
+      "Ġproble ma",
+      "Ġproblem a",
+      "Ġprobl ema",
+      "ĠManufact uring",
+      "l imits",
+      "li mits",
+      "lim its",
+      "limit s",
+      "- mobile",
+      "-m obile",
+      "Ġ filme",
+      "Ġfil me",
+      "Ġfilm e",
+      "/ map",
+      "/m ap",
+      "Ġd oit",
+      "Ġdo it",
+      "Ġdoi t",
+      "ĠI nk",
+      "ĠIn k",
+      "Ġs ued",
+      "Ġsu ed",
+      "Ġsue d",
+      ". arr",
+      ".a rr",
+      ".ar r",
+      "Ġunder min",
+      "Ġ Proc",
+      "ĠP roc",
+      "ĠPro c",
+      "ĠPr oc",
+      "croll View",
+      "_ _$",
+      "__ $",
+      "Ġside walk",
+      "Ġsidew alk",
+      "( that",
+      "(t hat",
+      "(th at",
+      "ภ·",
+      "[ q",
+      "gram mar",
+      "Ġt ë",
+      "q uito",
+      "qu ito",
+      "quit o",
+      "qui to",
+      "Ġsp iral",
+      "Ġspir al",
+      "Ġspi ral",
+      "ext ended",
+      "extend ed",
+      "Ġf ocal",
+      "Ġfoc al",
+      "Ġfo cal",
+      "Ġdig ging",
+      "p as",
+      "pa s",
+      "ĠT all",
+      "ĠTal l",
+      "ĠTa ll",
+      ". proxy",
+      ".pro xy",
+      ".pr oxy",
+      "i tures",
+      "it ures",
+      "iture s",
+      "itu res",
+      "itur es",
+      "T RACT",
+      "TR ACT",
+      "TRA CT",
+      "Ġ Realm",
+      "ĠRe alm",
+      "ĠReal m",
+      "Ġf eder",
+      "Ġfe der",
+      "Ġfed er",
+      "Ġ oriented",
+      "Ġorient ed",
+      "Ġori ented",
+      "Ġ Alternative",
+      "ĠAltern ative",
+      "ĠAlter native",
+      "Ġ owe",
+      "Ġo we",
+      "Ġow e",
+      "Ġs ourced",
+      "Ġsource d",
+      "Ġsour ced",
+      "in ker",
+      "ink er",
+      "inke r",
+      ". det",
+      ".d et",
+      ".de t",
+      "S ep",
+      "Se p",
+      "Ġ Qui",
+      "ĠQ ui",
+      "ĠQu i",
+      "ĠPal mer",
+      "ĠPalm er",
+      "( _,",
+      "(_ ,",
+      "s amples",
+      "sample s",
+      "sam ples",
+      "samp les",
+      "o yer",
+      "oy er",
+      "ul lan",
+      "ull an",
+      "ulla n",
+      "q uez",
+      "qu ez",
+      "que z",
+      "Ed ges",
+      "Edge s",
+      "Ġsh out",
+      "Ġsho ut",
+      "Ġ Achie",
+      "ĠA chie",
+      "ĠAch ie",
+      "Ġ haar",
+      "Ġh aar",
+      "Ġha ar",
+      "_ Construct",
+      "_Con struct",
+      "Ġprem ature",
+      "Ġre vert",
+      "Ġrev ert",
+      "Ġreve rt",
+      "Ġrever t",
+      "' ).Ċ",
+      "') .Ċ",
+      "'). Ċ",
+      "Ġs chn",
+      "Ġsc hn",
+      "Ġsch n",
+      "filter ed",
+      "fil tered",
+      "filt ered",
+      "null ptr",
+      "S aved",
+      "Save d",
+      "Sa ved",
+      "it ecture",
+      "itect ure",
+      "C LA",
+      "CL A",
+      "Ġ vl",
+      "Ġv l",
+      "s tell",
+      "st ell",
+      "ste ll",
+      "ĉ Me",
+      "ĉM e",
+      "ĠL ip",
+      "ĠLi p",
+      "n ational",
+      "nat ional",
+      "nation al",
+      "Ġwh olly",
+      "Ġspr ings",
+      "Ġspring s",
+      ". Timer",
+      ".T imer",
+      ".Time r",
+      "ĉ src",
+      "ĉs rc",
+      "e lsen",
+      "el sen",
+      "else n",
+      "els en",
+      "åħ ¶",
+      "Ġcommunic ating",
+      "Ġ Quiz",
+      "ĠQu iz",
+      "ĠQui z",
+      "Ġt eng",
+      "Ġte ng",
+      "Ġten g",
+      "Ġg ez",
+      "Ġge z",
+      "Ġ Outside",
+      "ĠOut side",
+      "ĠOuts ide",
+      ". Sign",
+      ".S ign",
+      "( cs",
+      "(c s",
+      "Ġdisp utes",
+      "Ġdispute s",
+      "Ġdisput es",
+      "ĠWe iss",
+      "ĠWei ss",
+      "an nes",
+      "ann es",
+      "anne s",
+      "> No",
+      ">N o",
+      "ĠB ach",
+      "ĠBa ch",
+      "ĠBac h",
+      ".remove All",
+      "re fer",
+      "ref er",
+      "/ dashboard",
+      "/d ashboard",
+      "Ġ Ajax",
+      "ĠA jax",
+      "ĠAj ax",
+      "Index Changed",
+      "Ġ Weak",
+      "ĠWe ak",
+      "' \"Ċ",
+      "'\" Ċ",
+      "Ġs ights",
+      "Ġsight s",
+      "Ġsigh ts",
+      "access Token",
+      "ĠJ oi",
+      "ĠJo i",
+      "( domain",
+      "(d omain",
+      "(dom ain",
+      "(do main",
+      "ĉ cv",
+      "ĉc v",
+      "Ġcontin uation",
+      "Ġcontinu ation",
+      "Ġcontinua tion",
+      "Ġp lum",
+      "Ġpl um",
+      "Ġplu m",
+      "a dir",
+      "ad ir",
+      "adi r",
+      ". setMessage",
+      ".set Message",
+      "Ġ ï¼Į",
+      "Ġï¼ Į",
+      "Ġsw allow",
+      "Ġswal low",
+      "ĠL amp",
+      "ĠLa mp",
+      "ĠLam p",
+      "Ġ qw",
+      "Ġq w",
+      "Ġ uu",
+      "Ġu u",
+      "C oin",
+      "Co in",
+      "u bic",
+      "ub ic",
+      "ubi c",
+      "ĠDe als",
+      "ĠDeal s",
+      "r ace",
+      "ra ce",
+      "rac e",
+      "Ġdict ator",
+      "Ġm eme",
+      "Ġme me",
+      "Ġmem e",
+      "turn ed",
+      "tur ned",
+      "ĠJul ie",
+      "ĠJu lie",
+      "ĠJuli e",
+      ".grid Column",
+      "Ġp uppy",
+      "Ġpup py",
+      "Ġpu ppy",
+      "Ġp am",
+      "Ġpa m",
+      "Ġ ){čĊ",
+      "Ġ) {čĊ",
+      "Ġ){ čĊ",
+      "Ġinv iting",
+      "Ġinvit ing",
+      "Ġf rench",
+      "Ġfr ench",
+      "Ġfren ch",
+      "v im",
+      "vi m",
+      "Ġwr apping",
+      "Ġwrap ping",
+      "Ġ#- }Ċ",
+      "( [-",
+      "([ -",
+      "Ear ly",
+      "Ġsh iny",
+      "Ġshin y",
+      ". faces",
+      ".f aces",
+      ".face s",
+      ".fac es",
+      ".fa ces",
+      "Ġre bell",
+      "Ġreb ell",
+      "Ġrebel l",
+      "abc def",
+      "abcd ef",
+      "ä lt",
+      "äl t",
+      "Ġest imation",
+      "Ġestim ation",
+      "ph ys",
+      "phy s",
+      "los ures",
+      "losure s",
+      "_ REL",
+      "_RE L",
+      "_R EL",
+      "Ġex clusion",
+      "Ġexclus ion",
+      "Ġexcl usion",
+      "ĠSk ype",
+      "ĠSky pe",
+      "we ise",
+      "wei se",
+      "weis e",
+      "- stop",
+      "-s top",
+      "-st op",
+      "no thing",
+      "ĠE gg",
+      "ĠEg g",
+      "is ors",
+      "iso rs",
+      "isor s",
+      "Rich ard",
+      "Ġcounsel ing",
+      "Ġcom mem",
+      "Ġcomm em",
+      "Ġcomme m",
+      "ĠQ MessageBox",
+      "ĠSy nd",
+      "ĠSyn d",
+      "ĠF rost",
+      "ĠFr ost",
+      "ĠFro st",
+      "ĠCom petition",
+      "ĠCompet ition",
+      "ĠA wake",
+      "ĠAw ake",
+      "Ġ ted",
+      "Ġt ed",
+      "Ġte d",
+      "ic iones",
+      "ici ones",
+      "icio nes",
+      "icion es",
+      "ĠDev Components",
+      "VERTISE MENT",
+      "o tti",
+      "ot ti",
+      "ott i",
+      ". runner",
+      ".r unner",
+      ".run ner",
+      "Ġunique ly",
+      "Ġuniqu ely",
+      "Ġuniq uely",
+      ". flag",
+      ".f lag",
+      ".fl ag",
+      "ĉ rs",
+      "ĉr s",
+      "_ generic",
+      "_g eneric",
+      "_gen eric",
+      "_gene ric",
+      "_gener ic",
+      "Ġ` ``Ċ",
+      "Ġ`` `Ċ",
+      "Ġ``` Ċ",
+      "ACH INE",
+      "ACHI NE",
+      "Ġm ein",
+      "Ġme in",
+      "( Application",
+      "(App lication",
+      "( br",
+      "(b r",
+      "Ġrat ios",
+      "Ġratio s",
+      ": ,",
+      "ĠX CTest",
+      "ĠXCT est",
+      "ĠXC Test",
+      "ustain able",
+      "- www",
+      "-w ww",
+      "it les",
+      "itle s",
+      "_ TEMP",
+      "_T EMP",
+      "_TE MP",
+      "_TEM P",
+      "Ġs yst",
+      "Ġsys t",
+      "Ġsy st",
+      "umeric UpDown",
+      "ĉ assertTrue",
+      "ĉassert True",
+      "Ġ wf",
+      "Ġw f",
+      ". peek",
+      ".pe ek",
+      "ĠB ulg",
+      "ĠBul g",
+      "ĠBu lg",
+      "Ġterr ifying",
+      ". MODE",
+      ".M ODE",
+      ".MOD E",
+      "Ġ GW",
+      "ĠG W",
+      "á r",
+      "Ġ fic",
+      "Ġf ic",
+      "Ġfi c",
+      "Ġcommit ments",
+      "Ġcommitment s",
+      "- tech",
+      "-t ech",
+      "-te ch",
+      "Ġ Liquid",
+      "ĠL iquid",
+      "ĠLiqu id",
+      "o pez",
+      "op ez",
+      "ope z",
+      "z heimer",
+      "a ña",
+      "añ a",
+      "- media",
+      "-m edia",
+      "-me dia",
+      "-med ia",
+      "( animated",
+      "(an imated",
+      "_ goal",
+      "_go al",
+      "Ġg um",
+      "Ġgu m",
+      "y stone",
+      "yst one",
+      "ys tone",
+      ". SET",
+      ".S ET",
+      ".SE T",
+      "ĠW end",
+      "ĠWe nd",
+      "ĠWen d",
+      "set CellValue",
+      "Ġ msgs",
+      "Ġmsg s",
+      "Ġms gs",
+      "c ash",
+      "ca sh",
+      "cas h",
+      "AL LOC",
+      "ALL OC",
+      "/ aws",
+      "/a ws",
+      "Ġmicro wave",
+      "Ġmic rowave",
+      ". Pointer",
+      ".Point er",
+      "ĉ Console",
+      "ĉCon sole",
+      "_ sorted",
+      "_s orted",
+      "_sort ed",
+      "ĠF ilip",
+      "ĠFil ip",
+      "ĠFi lip",
+      "P rod",
+      "Pro d",
+      "Pr od",
+      "Ġ// !<",
+      "Ġ//! <",
+      "in group",
+      "ing roup",
+      "Ġ ks",
+      "Ġk s",
+      "_T RI",
+      "_TR I",
+      "Ġteas poon",
+      "Ġ ATT",
+      "ĠA TT",
+      "ĠAT T",
+      "Ġre covering",
+      "Ġrecover ing",
+      "Ġ GLOBAL",
+      "ĠG LOBAL",
+      ". Par",
+      ".P ar",
+      "Ġ/ >;Ċ",
+      "Ġ/> ;Ċ",
+      "Ġmar ble",
+      "ul ators",
+      "ula tors",
+      "ulator s",
+      "Ġ Cycle",
+      "ĠC ycle",
+      "ĠCy cle",
+      "ĠCycl e",
+      "ĠCyc le",
+      "Ġher bs",
+      "Ġherb s",
+      "_ metric",
+      "_m etric",
+      "_met ric",
+      ") !",
+      "_C LOCK",
+      "_CL OCK",
+      "_ Button",
+      "_B utton",
+      "H arry",
+      "Har ry",
+      "è¿ Ľ",
+      "Ġstr ains",
+      "Ġstrain s",
+      "Ġstra ins",
+      "Ġ AppBar",
+      "ĠApp Bar",
+      "Ġ Chan",
+      "ĠC han",
+      "ĠCh an",
+      "ĠCha n",
+      "/ video",
+      "/v ideo",
+      "Ġ bam",
+      "Ġb am",
+      "Ġba m",
+      ". Progress",
+      ".Pro gress",
+      "$ f",
+      "l emen",
+      "le men",
+      "lem en",
+      "leme n",
+      "Ġir regular",
+      "ĠD uncan",
+      "ĠDun can",
+      "ĠM int",
+      "ĠMin t",
+      "ĠMi nt",
+      "- video",
+      "-v ideo",
+      "ঠ¾",
+      "ó wn",
+      "ów n",
+      "Ġ EMPTY",
+      "ĠEM PTY",
+      "ĠEMP TY",
+      "Ġst acked",
+      "Ġstack ed",
+      "Ġ HA",
+      "ĠH A",
+      "_ cut",
+      "_c ut",
+      "_cu t",
+      "Ġwhere in",
+      "ĠW ays",
+      "ĠWay s",
+      "ĠWa ys",
+      "( counter",
+      "(c ounter",
+      "(count er",
+      "(co unter",
+      "è¯ ķ",
+      "Form Group",
+      "Ġb lew",
+      "Ġbl ew",
+      "Ġble w",
+      "c ourses",
+      "co urses",
+      "course s",
+      "cour ses",
+      "Ġ productos",
+      "Ġproduct os",
+      "Ġproducto s",
+      "r ys",
+      "ry s",
+      "Ġ Restr",
+      "ĠR estr",
+      "ĠRe str",
+      "ĠRes tr",
+      "ĠRest r",
+      "Ġst yling",
+      "Ġsty ling",
+      "Ġstyl ing",
+      "> s",
+      "Ġp iv",
+      "Ġpi v",
+      "Ġit ertools",
+      "Ġiter tools",
+      "get Repository",
+      "Ġ Ik",
+      "ĠI k",
+      "_ devices",
+      "_device s",
+      "_dev ices",
+      "lay ui",
+      "Ġhalf way",
+      "Ġfran ç",
+      "Ġt uning",
+      "Ġtu ning",
+      "Ġtun ing",
+      "O A",
+      "_ Node",
+      "_N ode",
+      "_No de",
+      "ar de",
+      "ard e",
+      "Ġf ierce",
+      "Ġfi erce",
+      "Ġfier ce",
+      "Ġfierc e",
+      "l icted",
+      "lic ted",
+      "lict ed",
+      "# čĊ",
+      "Ġbreak through",
+      "ĠE rik",
+      "ĠEr ik",
+      "Ġb ride",
+      "Ġbr ide",
+      "Ġbri de",
+      "Ġbrid e",
+      "Ġ .\"",
+      "Ġ. \"",
+      "c ulus",
+      "cul us",
+      "cu lus",
+      "in side",
+      "ins ide",
+      "insi de",
+      "ĠIndian apolis",
+      "Ġ EE",
+      "ĠE E",
+      "Ġy og",
+      "Ġyo g",
+      "ur ret",
+      "urre t",
+      "urr et",
+      ". fs",
+      ".f s",
+      ". grad",
+      ".g rad",
+      ".gr ad",
+      "_ cards",
+      "_c ards",
+      "_card s",
+      "_car ds",
+      "_ accuracy",
+      "_ac curacy",
+      "_acc uracy",
+      "_e pi",
+      "_ep i",
+      "qu eda",
+      "que da",
+      "/ org",
+      "/or g",
+      "/o rg",
+      "é ªĮ",
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+      "(m ysql",
+      "(my sql",
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+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
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+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
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+      "Ġop era",
+      "Ġoper a",
+      "user content",
+      "a rah",
+      "ar ah",
+      "ara h",
+      ") },",
+      ")} ,",
+      "y un",
+      "yu n",
+      "v elt",
+      "ve lt",
+      "vel t",
+      "Ġun covered",
+      "Ġuncover ed",
+      "Ġ hips",
+      "Ġh ips",
+      "Ġhi ps",
+      "Ġhip s",
+      "Ġosc ill",
+      "Ġassert ing",
+      "Ġ Xi",
+      "ĠX i",
+      ". restore",
+      ".re store",
+      ".rest ore",
+      "k ea",
+      "ke a",
+      "Ġsp elling",
+      "Ġspell ing",
+      "Ġspel ling",
+      "Ġ derive",
+      "Ġde rive",
+      "Ġder ive",
+      "Ġderiv e",
+      "ab we",
+      "ĠD ow",
+      "ĠDo w",
+      ". setType",
+      ".set Type",
+      "_ vs",
+      "_v s",
+      "Ġc ozy",
+      "Ġco zy",
+      "Ġcoz y",
+      ". categories",
+      ".c ategories",
+      "O rg",
+      "Or g",
+      "_ mgr",
+      "_m gr",
+      "Ġd ungeon",
+      "Ġdung eon",
+      "collection View",
+      "Ġ Blank",
+      "ĠBl ank",
+      "ac ias",
+      "aci as",
+      "acia s",
+      "ä ä",
+      "_ cleanup",
+      "_c leanup",
+      "_clean up",
+      "_ACT IVITY",
+      "_ACTIV ITY",
+      "Ġtri angles",
+      "Ġtriangle s",
+      "Ġtriang les",
+      ". MenuItem",
+      ".Menu Item",
+      "Ġ iphone",
+      "Ġi phone",
+      "Ġip hone",
+      "Ġ Won",
+      "ĠW on",
+      "ĠWo n",
+      "] ]ĊĊ",
+      "]] ĊĊ",
+      "]]Ċ Ċ",
+      "Ġ Comparison",
+      "ĠCom parison",
+      "ĠCompar ison",
+      ". Doc",
+      ".D oc",
+      ".Do c",
+      "Ġ canonical",
+      "Ġcan onical",
+      "Ġcanon ical",
+      "ĠSu dan",
+      "ĠSud an",
+      "' ){",
+      "') {",
+      "Up Inside",
+      "b uiltin",
+      "built in",
+      "E NCY",
+      "EN CY",
+      "ENC Y",
+      "x be",
+      "xb e",
+      "Ġch uck",
+      "Ġchu ck",
+      "Ġcontrad ict",
+      "Ġcontra dict",
+      "Ġnu estro",
+      "Ġnue stro",
+      "Ġnuest ro",
+      "Ġnues tro",
+      "Ġarchitect ural",
+      "ĠF ib",
+      "ĠFi b",
+      "Ġcomp ares",
+      "Ġcompar es",
+      "Ġcompare s",
+      "* k",
+      "C fg",
+      "çĦ ¡",
+      "n ten",
+      "nt en",
+      "nte n",
+      "M atches",
+      "Match es",
+      "Mat ches",
+      "Ġ DOWNLOAD",
+      "ĠDOWN LOAD",
+      "_HANDLE R",
+      "_HAND LER",
+      "man agement",
+      "manage ment",
+      "mana gement",
+      "[ S",
+      "E NG",
+      "EN G",
+      "ÂĢ Â",
+      "f ang",
+      "fa ng",
+      "fan g",
+      "Ġsl ipped",
+      "Ġslip ped",
+      "ĠL anka",
+      "ĠLan ka",
+      "esc aping",
+      "Ġtack les",
+      "Ġtackle s",
+      "ĠPe dro",
+      "ĠPed ro",
+      ". Prop",
+      ".P rop",
+      ".Pro p",
+      ".Pr op",
+      ". ''",
+      ".' '",
+      ". Generated",
+      ".G enerated",
+      ".Generate d",
+      ".New Guid",
+      "at rigesimal",
+      "il lon",
+      "ill on",
+      "illo n",
+      "Ġstat istic",
+      "Ġstatist ic",
+      "s pecies",
+      "sp ecies",
+      "spec ies",
+      "spe cies",
+      "h olding",
+      "hold ing",
+      "hol ding",
+      "Dr upal",
+      "Ġfundament ally",
+      "Ġfundamental ly",
+      "Ġbond age",
+      "Ġres olutions",
+      "Ġresolution s",
+      "Inline Data",
+      "\\ Type",
+      "es tion",
+      "est ion",
+      "esti on",
+      ". wrap",
+      ".w rap",
+      ".wr ap",
+      "Ġwar riors",
+      "Ġwarrior s",
+      "Ġ LOCAL",
+      "ĠLO CAL",
+      "ĠLOC AL",
+      "A rchive",
+      "Arch ive",
+      "Arc hive",
+      "Ġembr aced",
+      "Ġembrace d",
+      "á» §",
+      ". Ver",
+      ".V er",
+      "ĠAff ordable",
+      "ole sale",
+      "oles ale",
+      "Ġ Applied",
+      "ĠApp lied",
+      "ĠAp plied",
+      "ĠAppl ied",
+      "Ġ Conversion",
+      "ĠCon version",
+      "ĠConv ersion",
+      "ĠConvers ion",
+      "m ega",
+      "me ga",
+      "meg a",
+      "_ cam",
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+      "_ca m",
+      "Ġcer emon",
+      "Ġcere mon",
+      "a urus",
+      "au rus",
+      "aur us",
+      "ĠV olk",
+      "ĠVol k",
+      "ĠVo lk",
+      ". opens",
+      ".open s",
+      ".op ens",
+      "/ about",
+      "/a bout",
+      "Ġ Std",
+      "ĠS td",
+      "ĠSt d",
+      "j ournal",
+      "jo urnal",
+      "jour nal",
+      "( )){čĊ",
+      "() ){čĊ",
+      "()) {čĊ",
+      "()){ čĊ",
+      ", \"\\",
+      ",\" \\",
+      "( Arrays",
+      "(Array s",
+      "ĠD ense",
+      "ĠDen se",
+      "ase ña",
+      "än ner",
+      "änn er",
+      "/ stat",
+      "/s tat",
+      "/st at",
+      "user Data",
+      "Ġg erman",
+      "Ġger man",
+      "Ġgerm an",
+      "Ġ tz",
+      "Ġt z",
+      "w orthy",
+      "worth y",
+      "wort hy",
+      "wor thy",
+      "Format Exception",
+      "ph erd",
+      "pher d",
+      "phe rd",
+      "Ġsm iles",
+      "Ġsmile s",
+      "Ġ Whenever",
+      "ĠWh enever",
+      "ĠWhen ever",
+      "ĠWhe never",
+      "( adapter",
+      "(ad apter",
+      ".bad logic",
+      "Ġbrief ing",
+      ". GridColumn",
+      ".Grid Column",
+      "- char",
+      "-c har",
+      "-ch ar",
+      "d imension",
+      "dim ension",
+      "ĠC opper",
+      "ĠCo pper",
+      "ĠCop per",
+      "ĠCopp er",
+      "Ġn inth",
+      "Ġni nth",
+      "Ġnin th",
+      "Ġ' {{",
+      "Ġ'{ {",
+      "Ġ rav",
+      "Ġr av",
+      "Ġra v",
+      "_ Table",
+      "_T able",
+      "_Tab le",
+      "Ġderiv atives",
+      "Ġderivative s",
+      "Ġ Raise",
+      "ĠR aise",
+      "ĠRa ise",
+      "ĠRai se",
+      "ĠF ut",
+      "ĠFu t",
+      "ar mor",
+      "arm or",
+      "- padding",
+      "-p adding",
+      "-pad ding",
+      "Ġre min",
+      "Ġr emin",
+      "Ġrem in",
+      "ĉ style",
+      "ĉst yle",
+      "Ġ Membership",
+      "ĠMember ship",
+      "ĠMembers hip",
+      "Ġsp reads",
+      "Ġspread s",
+      "Ġspre ads",
+      "Ġg alleries",
+      "Ġgall eries",
+      "ĠClark e",
+      "ĠClar ke",
+      "Ġcon ception",
+      "Ġconcept ion",
+      "Ġconce ption",
+      "min ute",
+      "Ġab usive",
+      "_ adj",
+      "_a dj",
+      "_ad j",
+      "Ġterr ific",
+      "Ġo vert",
+      "Ġover t",
+      "Ġov ert",
+      "our cing",
+      "Ġ entrada",
+      "Ġent rada",
+      "Ġentr ada",
+      "Ġentra da",
+      "level s",
+      "lev els",
+      "Ġcrit ique",
+      "Ġres pects",
+      "Ġrespect s",
+      "Ġresp ects",
+      "ĠM MA",
+      "ĠMM A",
+      "i ene",
+      "ie ne",
+      "ien e",
+      "Ġen caps",
+      "Ġenc aps",
+      "ĠRay mond",
+      "Div ider",
+      "Di vider",
+      "i vable",
+      "iv able",
+      "iva ble",
+      "b az",
+      "ba z",
+      "Ġ@ _;Ċ",
+      "Ġ@_ ;Ċ",
+      "ĠCl aire",
+      "ĠCla ire",
+      "ĠClair e",
+      "Ġur ging",
+      "Ġurg ing",
+      "C EE",
+      "CE E",
+      "Ġtrans former",
+      "Ġtransform er",
+      "dis cord",
+      "disc ord",
+      "ĠJ ourney",
+      "t os",
+      "to s",
+      "Ġcompet itions",
+      "Ġcompetition s",
+      "Ġcompetit ions",
+      "Ġ OBJ",
+      "ĠO BJ",
+      "ĠOB J",
+      "ĠB is",
+      "ĠBi s",
+      "Ġrelax ation",
+      "i dy",
+      "id y",
+      "_ INSTANCE",
+      "_IN STANCE",
+      "_INST ANCE",
+      "Ġ Pref",
+      "ĠP ref",
+      "ĠPr ef",
+      "ĠPre f",
+      "d ados",
+      "da dos",
+      "dad os",
+      "ici encies",
+      "ĠMedia Query",
+      "Ġ Cube",
+      "ĠC ube",
+      "ĠCub e",
+      "ĠCu be",
+      "Ġ Strange",
+      "ĠSt range",
+      "ĠStr ange",
+      "ĠStra nge",
+      "g pu",
+      "gp u",
+      "( days",
+      "(d ays",
+      "(day s",
+      "(da ys",
+      "_ InitStruct",
+      "_Init Struct",
+      "Ġf ingerprint",
+      "Ġfinger print",
+      "e mat",
+      "em at",
+      "ema t",
+      "ĠG ecko",
+      "ĠGe cko",
+      "Ġ rails",
+      "Ġr ails",
+      "Ġrail s",
+      "Ġra ils",
+      "ĠL um",
+      "ĠLu m",
+      "s traction",
+      "st raction",
+      "str action",
+      "stract ion",
+      "stra ction",
+      "ig ung",
+      "igu ng",
+      "( movie",
+      "(m ovie",
+      "_ dictionary",
+      "_d ictionary",
+      "_ interrupt",
+      "_int errupt",
+      "_inter rupt",
+      "Ġ QC",
+      "ĠQ C",
+      "i ked",
+      "ik ed",
+      "ike d",
+      "append Child",
+      "rec ipient",
+      "r é",
+      "V e",
+      "Ġt owel",
+      "Ġto wel",
+      "Ġtow el",
+      ".last IndexOf",
+      "Ġplace bo",
+      "Ġplac ebo",
+      "Ġ Wie",
+      "ĠW ie",
+      "ĠWi e",
+      ". esp",
+      ".e sp",
+      ".es p",
+      "( Debug",
+      "oper ative",
+      "Ġde ceased",
+      "Ġdece ased",
+      "& id",
+      "ĉ mutex",
+      "ĉm utex",
+      "e lic",
+      "el ic",
+      "eli c",
+      "Ġb apt",
+      "Ġba pt",
+      "ĉ čĊčĊ",
+      "ĉčĊ čĊ",
+      "Ġfar ther",
+      "Ġfart her",
+      "H alf",
+      "Ha lf",
+      "Hal f",
+      ". disable",
+      ".d isable",
+      ".dis able",
+      ".menu Strip",
+      "le ccion",
+      "lec cion",
+      "Ġ resultCode",
+      "Ġresult Code",
+      "Ġc ans",
+      "Ġcan s",
+      "Ġca ns",
+      "- election",
+      "-e lection",
+      "-elect ion",
+      "-el ection",
+      "f emale",
+      "fe male",
+      "_ FIX",
+      "_F IX",
+      "aus ible",
+      "Ġ POWER",
+      "ĠP OWER",
+      "ĠPO WER",
+      "ĠPOW ER",
+      "Ġre construction",
+      "Ġrecon struction",
+      "Ġreconstruct ion",
+      "Ġsc ans",
+      "Ġscan s",
+      "Ġsca ns",
+      ".Xtra Bars",
+      "âĢĺ s",
+      "Re moved",
+      "Rem oved",
+      "Remove d",
+      "Ġpara graphs",
+      "Ġparagraph s",
+      "_ margin",
+      "_m argin",
+      "_mar gin",
+      "Ġl ymph",
+      "Ġly mph",
+      "Ġ bos",
+      "Ġb os",
+      "Ġbo s",
+      "l ington",
+      "ling ton",
+      "ĠBapt ist",
+      "Ġadvertis ements",
+      "Ġadvertisement s",
+      "Ġadvertise ments",
+      "Ġ Manage",
+      "ĠMan age",
+      "ĠMa nage",
+      "ĠMana ge",
+      "/ yyyy",
+      "/y yyy",
+      "I OUS",
+      "IO US",
+      "EN CES",
+      "ENCE S",
+      "ENC ES",
+      "ĠF iction",
+      "ĠFi ction",
+      "ĉ menu",
+      "ĉm enu",
+      "ĉme nu",
+      "ĠFile OutputStream",
+      "o van",
+      "ov an",
+      "ova n",
+      "ĠF eng",
+      "ĠFe ng",
+      "ĠFen g",
+      "Ġsk ipping",
+      "Ġskip ping",
+      "Ġski pping",
+      "get Class",
+      "getC lass",
+      "an ni",
+      "ann i",
+      "Ġre bounds",
+      "Ġreb ounds",
+      "Ġrebound s",
+      "Ġpublic ity",
+      "Ġpub licity",
+      "Ġpubli city",
+      "Ġin gres",
+      "Ġing res",
+      "Ġingr es",
+      "us ement",
+      "use ment",
+      "Ġthought ful",
+      ". Chart",
+      ".C hart",
+      ".Ch art",
+      ".Char t",
+      "Ġh atte",
+      "Ġha tte",
+      "Ġhat te",
+      "pass port",
+      "pas sport",
+      "Ġhook ed",
+      "Ġho oked",
+      "Ġ Lens",
+      "ĠL ens",
+      "ĠLe ns",
+      "ĠLen s",
+      "Ġflag ship",
+      "Ġflags hip",
+      "Ġs tip",
+      "Ġst ip",
+      "Ġ GEN",
+      "ĠG EN",
+      "ĠGE N",
+      "Ġcl ues",
+      "Ġclue s",
+      "i pv",
+      "ip v",
+      "ĠR ise",
+      "ĠRi se",
+      "ĠRis e",
+      "ĠG ew",
+      "ĠGe w",
+      "table name",
+      "tab lename",
+      "tabl ename",
+      "Ġfore most",
+      "_ validate",
+      "_valid ate",
+      "_ analysis",
+      "_an alysis",
+      "o lla",
+      "ol la",
+      "oll a",
+      "Ġqual ifications",
+      "Ġqualification s",
+      "Ġd istributions",
+      "Ġdistrib utions",
+      "Ġdistribution s",
+      "ĠF lower",
+      "ĠFl ower",
+      "ĠFlo wer",
+      "ĠFlow er",
+      "Ġt ense",
+      "Ġten se",
+      "Ġtens e",
+      "Ġthank ful",
+      "Ġcl utch",
+      "Ġun ified",
+      "ro ads",
+      "road s",
+      "Ġs iti",
+      "Ġsit i",
+      "Ġsi ti",
+      "Ġst all",
+      "Ġsta ll",
+      "Ġstal l",
+      "_P RIORITY",
+      "_PRI ORITY",
+      "c stdlib",
+      "_ USERNAME",
+      "_USER NAME",
+      ". bytes",
+      ".by tes",
+      ".byte s",
+      "? page",
+      "?p age",
+      "er malink",
+      "erm alink",
+      "ermal ink",
+      "ĠVe get",
+      "ĠVeg et",
+      "/v nd",
+      "- author",
+      "-a uthor",
+      "-auth or",
+      "-aut hor",
+      ". NONE",
+      ".N ONE",
+      ".NO NE",
+      "ĠCon current",
+      "ĠConc urrent",
+      "ĠC ry",
+      "ĠCr y",
+      "Ġst arters",
+      "Ġstart ers",
+      "Ġstar ters",
+      "Ġstarter s",
+      "Ġ Interaction",
+      "ĠInter action",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "Ġ LEVEL",
+      "ĠLE VEL",
+      "E ll",
+      "El l",
+      "Ġ comboBox",
+      "Ġcom boBox",
+      "Ġcombo Box",
+      "ĠThe resa",
+      "ĠTh eresa",
+      "ĠThere sa",
+      "ĠTher esa",
+      "t ek",
+      "te k",
+      "_ Handle",
+      "_H andle",
+      "Ġ aby",
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+      "ari al",
+      "aria l",
+      "ĠH off",
+      "ĠHo ff",
+      "ĠHof f",
+      "Ġprostituer ade",
+      "Do ctor",
+      "Doc tor",
+      "In stances",
+      "Instance s",
+      "Inst ances",
+      ". SetValue",
+      ".Set Value",
+      "ĉ from",
+      "ĉf rom",
+      "ĉfr om",
+      "Ġlux urious",
+      "In dent",
+      "Ind ent",
+      "Al locator",
+      "All ocator",
+      "Alloc ator",
+      "_ DRAW",
+      "_D RAW",
+      "_DR AW",
+      "(\" ,\",",
+      "(\", \",",
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+      "Ġdecl ining",
+      "Ġdes sert",
+      "Ġdess ert",
+      "Ġinc umb",
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+      "ĠP av",
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+      "Ġ PY",
+      "ĠP Y",
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+      "ĠW HITE",
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+      "Ġp umps",
+      "Ġpump s",
+      "Ġpu mps",
+      "ĠHun gary",
+      "ĠHung ary",
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+      "Ġs kate",
+      "Ġsk ate",
+      "Ġska te",
+      "Ġtouchdown s",
+      "Ġacceler ate",
+      "Ġaccel erate",
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+      "ĠHe len",
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+      "ĠMens chen",
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+      "ĠÐ ĺ",
+      "Ġ Finding",
+      "ĠF inding",
+      "ĠFin ding",
+      "ĠFind ing",
+      "o nces",
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+      "Ġtout e",
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+      "Ġele ctr",
+      "ĠG ross",
+      "ĠGr oss",
+      "ĠGro ss",
+      "ĠGros s",
+      "ĉ true",
+      "ĉtr ue",
+      ". Fields",
+      ".F ields",
+      ".Field s",
+      "Ġ WIDTH",
+      "ĠW IDTH",
+      "ĠD ent",
+      "ĠDe nt",
+      "ĠDen t",
+      "Ġ Ãģ",
+      "ĠÃ ģ",
+      "NS Notification",
+      "Ġ aos",
+      "Ġa os",
+      "Ġao s",
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+      "Ġmel ee",
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+      "ĠD EC",
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+      "ĠD ear",
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+      "ĉ FILE",
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+      "language s",
+      ". Prot",
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+      ".Pro t",
+      ".Pr ot",
+      ". addr",
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+      "ICO N",
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+      "Ġcha sing",
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+      "T rad",
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+      "Ġcr acked",
+      "Ġcrack ed",
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+      "Ġrele nt",
+      "/ #{",
+      "/# {",
+      "Ġ productId",
+      "Ġproduct Id",
+      "Ġ è¾",
+      "Ġè ¾",
+      "ĠL av",
+      "ĠLa v",
+      "Ġ Alter",
+      "ĠAl ter",
+      "ĠAlt er",
+      ". Mode",
+      ".M ode",
+      ".Mod e",
+      "AD IO",
+      "ADI O",
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+      "gr p",
+      "æ ·»åĬł",
+      "æ·» åĬł",
+      "Q uit",
+      "Qu it",
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+      "Ġdept hs",
+      "- category",
+      "-c ategory",
+      "Ġ DATABASE",
+      "ĠD ATABASE",
+      "ĠDATA BASE",
+      "S PELL",
+      "SP ELL",
+      "ĠF alcon",
+      "ĠFal con",
+      "ĠQString List",
+      "Ġ ''.",
+      "Ġ' '.",
+      "Ġ'' .",
+      "ĠIn stitution",
+      "ĠInst itution",
+      "ĠInstit ution",
+      "ĠInstitut ion",
+      "d amage",
+      "da mage",
+      "dam age",
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+      "azo r",
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+      "verage s",
+      "Ġ NONE",
+      "ĠN ONE",
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+      "_arch ive",
+      "_arc hive",
+      "n ak",
+      "na k",
+      ". getField",
+      ".get Field",
+      "Ġ Reflection",
+      "ĠRef lection",
+      "ĠReflect ion",
+      "Ġ ']",
+      "Ġ' ]",
+      "ĠH BO",
+      "ĠHB O",
+      "_ discount",
+      "_dis count",
+      "_disc ount",
+      "Ġin cest",
+      "Ġinc est",
+      "Ġince st",
+      "ĠD odge",
+      "ĠDo dge",
+      "ĠDod ge",
+      "ĠW ade",
+      "ĠWa de",
+      ". NO",
+      ".N O",
+      "\" encoding",
+      "Ġ Blockchain",
+      "ĠBlock chain",
+      "Ġlaws uits",
+      "Ġlawsuit s",
+      "Ġ Maint",
+      "ĠM aint",
+      "ĠMain t",
+      "ĠMa int",
+      "ĠMai nt",
+      "ch ten",
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+      "Ġktó re",
+      "_ ctl",
+      "_c tl",
+      "_ct l",
+      "( timer",
+      "(t imer",
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+      "ay ed",
+      "aye d",
+      "I OR",
+      "IO R",
+      "ĠGlas gow",
+      "Ġs ynth",
+      "Ġsy nth",
+      "Ġsyn th",
+      "Ġsynt h",
+      "_ logs",
+      "_l ogs",
+      "_log s",
+      "_lo gs",
+      ". pose",
+      ".p ose",
+      ".pos e",
+      ".po se",
+      "_Adjust orThunk",
+      "( (&",
+      "(( &",
+      "Ġun sure",
+      "Ġuns ure",
+      "Ġunsur e",
+      "y state",
+      "yst ate",
+      "íķĺ ëĬĶ",
+      "O ULD",
+      "OU LD",
+      ". ng",
+      ".n g",
+      "Ġdefault dict",
+      "work space",
+      "works pace",
+      "Ġselect ive",
+      "Ġsel ective",
+      "Picker Controller",
+      "YNAM IC",
+      ". methods",
+      ".method s",
+      "Ġpath ways",
+      "Ġpathway s",
+      "Ġ Few",
+      "ĠF ew",
+      "ĠFe w",
+      "K G",
+      "C RYPT",
+      "CRY PT",
+      "follow ing",
+      "ĠD LC",
+      "ĠDL C",
+      "ĠS ara",
+      "ĠSar a",
+      "ĠSa ra",
+      "Ġ preset",
+      "Ġp reset",
+      "Ġpre set",
+      "Ġpres et",
+      "e structor",
+      "estr uctor",
+      "estruct or",
+      "ĠK urt",
+      "ĠKur t",
+      "ĠKu rt",
+      "Ġair plane",
+      "Ġ omp",
+      "Ġo mp",
+      "Ġom p",
+      "Ġ Parents",
+      "ĠPar ents",
+      "ĠParent s",
+      "ĠParen ts",
+      "ĠPare nts",
+      "ĠMart inez",
+      "ĠMartin ez",
+      ". complete",
+      ".com plete",
+      ".comp lete",
+      "Ġbroad ly",
+      "Ġs care",
+      "Ġsc are",
+      "Ġsca re",
+      "Ġscar e",
+      "ĠM é",
+      "Ġelim ination",
+      "Ġelimin ation",
+      "Ġp oured",
+      "Ġpo ured",
+      "Ġpour ed",
+      "Ġpou red",
+      "/ sw",
+      "/s w",
+      "Ġcom un",
+      "Ġco mun",
+      "Ġm asc",
+      "Ġma sc",
+      "Ġmas c",
+      "ĠOrgan ic",
+      "ĠOrg anic",
+      "Ġ StringUtils",
+      "ĠString Utils",
+      "ĠStringUtil s",
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+      "ilate ral",
+      "ilater al",
+      "Ġreluct ant",
+      "- age",
+      "-a ge",
+      "-ag e",
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+      "Ġn z",
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+      ".\" \\",
+      "Ġpast or",
+      "Ġpas tor",
+      "Ġpa stor",
+      "a lez",
+      "al ez",
+      "ale z",
+      "Ġe fect",
+      "Ġef ect",
+      "p rov",
+      "pr ov",
+      "pro v",
+      "/ init",
+      "/i nit",
+      "/in it",
+      "Ġp enn",
+      "Ġpe nn",
+      "Ġpen n",
+      "u nds",
+      "un ds",
+      "und s",
+      "Ġ ssize",
+      "Ġs size",
+      "Ġss ize",
+      "Ġ Proj",
+      "ĠP roj",
+      "ĠPro j",
+      "ĠPr oj",
+      "b asename",
+      "base name",
+      "bas ename",
+      "Ġsh ells",
+      "Ġshell s",
+      "Ġshel ls",
+      "ĠN eck",
+      "ĠNe ck",
+      "ĠNec k",
+      "ĠEn forcement",
+      "v ided",
+      "vid ed",
+      "vi ded",
+      "vide d",
+      "s town",
+      "st own",
+      "sto wn",
+      "S phere",
+      "Sp here",
+      "$ r",
+      "us sen",
+      "uss en",
+      "a fil",
+      "af il",
+      "afi l",
+      "Ġ Telegram",
+      "ĠTele gram",
+      "Ġanaly tical",
+      "Ġanalytic al",
+      "н Ñĭе",
+      "нÑĭ е",
+      "us ually",
+      "usu ally",
+      "usual ly",
+      "x n",
+      "Ġhistor ian",
+      "Ġhist orian",
+      "Ġhistoria n",
+      "Ġhisto rian",
+      "ĠGreg ory",
+      "ol ph",
+      "Ġ Una",
+      "ĠU na",
+      "ĠUn a",
+      "Ġcon tributes",
+      "Ġcontrib utes",
+      "Ġcontribute s",
+      "% -",
+      "anti ago",
+      "ÑĢ ед",
+      "ÑĢе д",
+      ". region",
+      ".reg ion",
+      "Ġab rupt",
+      "ĠUnsupported OperationException",
+      "Ġ TASK",
+      "ĠT ASK",
+      "ĠTA SK",
+      "ĠTAS K",
+      "_ finish",
+      "_f inish",
+      "_fin ish",
+      "Ġnot orious",
+      "Ġ Vs",
+      "ĠV s",
+      "Ġ MQ",
+      "ĠM Q",
+      "Ġs unset",
+      "Ġsun set",
+      "Ġun acceptable",
+      "ar cer",
+      "arc er",
+      "Ġill umin",
+      "Ġillum in",
+      "ĠO rb",
+      "ĠOr b",
+      "Ġ bh",
+      "Ġb h",
+      "E ste",
+      "Est e",
+      "Es te",
+      "_ dispatch",
+      "_dis patch",
+      "_disp atch",
+      "Ġr ipped",
+      "Ġrip ped",
+      "Ġri pped",
+      "Ġtou jours",
+      "Ġ Parcel",
+      "ĠPar cel",
+      "_ ll",
+      "_l l",
+      ". userName",
+      ".user Name",
+      ". classes",
+      ".c lasses",
+      ".class es",
+      ".cl asses",
+      "S OURCE",
+      "( Number",
+      "(N umber",
+      "е лÑı",
+      "ел Ñı",
+      "Ġhead phones",
+      "Ġheadphone s",
+      "( side",
+      "(s ide",
+      "(si de",
+      "(sid e",
+      "con stitution",
+      "const itution",
+      "an nah",
+      "ann ah",
+      "anna h",
+      "čĊ ĠĠĠĠĠĠĠĠčĊ",
+      "Ġcl iff",
+      "Ġcli ff",
+      "- ref",
+      "-r ef",
+      "-re f",
+      "Ġmost rar",
+      "Ġmo strar",
+      "Ġmostr ar",
+      "Ġmostra r",
+      "ĠP owell",
+      "ĠPo well",
+      "ĠPow ell",
+      "+ y",
+      "Ġ BG",
+      "ĠB G",
+      "_ fragment",
+      "_f ragment",
+      "_fr agment",
+      "_frag ment",
+      ". Port",
+      ".P ort",
+      "Ġreal izing",
+      "Ġrealiz ing",
+      "param ref",
+      "Ġh ometown",
+      "Ġhome town",
+      "@ Table",
+      "+ \"</",
+      "+\" </",
+      "+\"< /",
+      "o mid",
+      "om id",
+      "omi d",
+      "Ġd ug",
+      "Ġdu g",
+      "ĉ btn",
+      "ĉb tn",
+      "ĉbt n",
+      "Ġsub jective",
+      "Ġsubject ive",
+      "Ġsubj ective",
+      "/ browser",
+      "/b rowser",
+      "/browse r",
+      "Ġ ushort",
+      "Ġu short",
+      "Ġus hort",
+      "ĠMont gomery",
+      "- rate",
+      "-r ate",
+      "-ra te",
+      "ĉ puts",
+      "ĉp uts",
+      "ĉput s",
+      "l etics",
+      "le tics",
+      "let ics",
+      "letic s",
+      "or ns",
+      "orn s",
+      "âĢľ What",
+      "e eper",
+      "ee per",
+      ". Invariant",
+      ".In variant",
+      ".Inv ariant",
+      "Ġconce aled",
+      "Ġconceal ed",
+      "_ numpy",
+      "_n umpy",
+      "_num py",
+      "= ========",
+      "== =======",
+      "==== =====",
+      "======== =",
+      "=== ======",
+      "====== ===",
+      "===== ====",
+      "======= ==",
+      "( ps",
+      "(p s",
+      "L ocations",
+      "Location s",
+      "Loc ations",
+      ". astype",
+      ".as type",
+      ".a stype",
+      ".ast ype",
+      "Ġ CHANGE",
+      "ĠCH ANGE",
+      ". OrderBy",
+      ".Order By",
+      "; height",
+      "Ġg ente",
+      "Ġge nte",
+      "Ġgen te",
+      "Ġgent e",
+      "Ġ grunt",
+      "Ġgr unt",
+      "Ġ Plane",
+      "ĠP lane",
+      "ĠPl ane",
+      "ĠPlan e",
+      "ĠPla ne",
+      "Ġsad ly",
+      "ĠL ogan",
+      "ĠLog an",
+      "ĠLo gan",
+      "_u sec",
+      "_us ec",
+      "_use c",
+      ".d gv",
+      "Ġs incer",
+      "Ġsince r",
+      "Ġsin cer",
+      "Ġsinc er",
+      "Ġ pn",
+      "Ġp n",
+      "ĉ gtk",
+      "ĉg tk",
+      "Ġ installer",
+      "Ġinst aller",
+      "Ġinstall er",
+      "Ġinstal ler",
+      "Ġdis placement",
+      "Ġdispl acement",
+      "Ġbur ns",
+      "Ġburn s",
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+      "Ġm ah",
+      "Ġma h",
+      "ĠS onic",
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+      "Ġvers a",
+      "ĠMoh ammed",
+      ". Job",
+      ".J ob",
+      "-t oggler",
+      "-toggle r",
+      "Ġп олÑĮзоваÑĤ",
+      "ar don",
+      "ard on",
+      "ardo n",
+      "Ġnew born",
+      "Ġn aval",
+      "Ġna val",
+      "Ġnav al",
+      "not eq",
+      "note q",
+      "Ġt umblr",
+      "Ġtum blr",
+      "Ġh entai",
+      "ĠTyp ically",
+      "ĠTypical ly",
+      "Ġl oot",
+      "Ġlo ot",
+      ". Sprite",
+      ".S prite",
+      ".Sp rite",
+      "F light",
+      "Fl ight",
+      "Ġw avelength",
+      "Ġwave length",
+      "- sk",
+      "-s k",
+      "ĠE lle",
+      "ĠEl le",
+      "ĠEll e",
+      "_ exports",
+      "_ex ports",
+      "_exp orts",
+      "_export s",
+      "Ġ Ñı",
+      "ĠÑ ı",
+      "Ġ IH",
+      "ĠI H",
+      "izoph ren",
+      "Ġ íģ",
+      "Ġí ģ",
+      "_ primary",
+      "_pr imary",
+      "_pri mary",
+      "_prim ary",
+      "Ġm ois",
+      "Ġmo is",
+      "Ġmoi s",
+      "Ġ BN",
+      "ĠB N",
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+      "Ġsyst emic",
+      "Ġdifer entes",
+      "Ġdiferente s",
+      "IN CT",
+      "INC T",
+      "Ġ' 'ĊĊ",
+      "Ġ'' ĊĊ",
+      "Ġ''Ċ Ċ",
+      "$ q",
+      "Widget Item",
+      "c lide",
+      "cl ide",
+      "cli de",
+      "clid e",
+      "$ file",
+      "$f ile",
+      "L emma",
+      "Le mma",
+      "/ table",
+      "/t able",
+      "/tab le",
+      "a grid",
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+      "agr id",
+      "ĠMongo DB",
+      "i nte",
+      "in te",
+      "int e",
+      "Ġapp rent",
+      "ÂŃ ing",
+      "ÂŃi ng",
+      ". Db",
+      ".D b",
+      "Ġ ÃĤ",
+      "ĠÃ Ĥ",
+      "h ammer",
+      "ham mer",
+      "=' ';Ċ",
+      "='' ;Ċ",
+      "Ġbr okers",
+      "Ġbro kers",
+      "Ġbroke rs",
+      "Ġbroker s",
+      "i tlement",
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+      "itle ment",
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+      "sembl ies",
+      "E le",
+      "El e",
+      "{ x",
+      "Ġ lastname",
+      "Ġlast name",
+      "< -",
+      "Ġ flatten",
+      "Ġfl atten",
+      "Ġflat ten",
+      "Ġflatt en",
+      "_ band",
+      "_b and",
+      ". Root",
+      ".R oot",
+      ".read FileSync",
+      ".readFile Sync",
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+      "==== ==",
+      "=== ===",
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+      ".r x",
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+      "cont e",
+      "co nte",
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+      "Ġde bit",
+      "Ġdeb it",
+      "Ġcon tempt",
+      "Ġcont empt",
+      "Cpp Type",
+      "æĶ ¯",
+      "Form Field",
+      "r atio",
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+      "os opher",
+      "osoph er",
+      "oso pher",
+      "Ġim plant",
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+      "Ġimpl ant",
+      "P URE",
+      "PU RE",
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+      "_ management",
+      "_man agement",
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+      "Ġrefin e",
+      "Ġ CheckBox",
+      "ĠCheck Box",
+      "ĠCh arl",
+      "ĠChar l",
+      "ĠCha rl",
+      "- version",
+      "-v ersion",
+      "-vers ion",
+      "cond itional",
+      "condition al",
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+      "venue s",
+      "Ġrifle s",
+      "Ġrif les",
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+      "Ġoffs pring",
+      "Ġm illing",
+      "Ġmill ing",
+      "Ġmil ling",
+      "Ġmilli ng",
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+      "Ġshar ply",
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+      "( origin",
+      "(orig in",
+      "(or igin",
+      "_ Control",
+      "_C ontrol",
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+      "Ġ. $",
+      "Pl ugins",
+      "Plugin s",
+      "Plug ins",
+      "Ġd rying",
+      "Ġdr ying",
+      "Ġdry ing",
+      "Ġillustr ates",
+      "Ġillustrate s",
+      "Ġillust rates",
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+      "Ġveget arian",
+      "n pc",
+      "np c",
+      "He art",
+      "; ',Ċ",
+      ";' ,Ċ",
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+      "com ma",
+      "co mma",
+      "comm a",
+      "t eenth",
+      "te enth",
+      "tee nth",
+      "teen th",
+      "a san",
+      "as an",
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+      "/ spec",
+      "/s pec",
+      "/sp ec",
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+      "_move s",
+      "_mov es",
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+      "- margin",
+      "-m argin",
+      "-mar gin",
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+      "Ġin gen",
+      "Ġi ngen",
+      "Ġing en",
+      "³ ³³",
+      "³³ ³",
+      "Ġpro jet",
+      "Ġproj et",
+      "Ġproje t",
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+      "Ġot ra",
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+      "Ġb ras",
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+      ". utc",
+      ".u tc",
+      ".ut c",
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+      "Ġsle pt",
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+      "abi lit",
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+      "Ġs dk",
+      "Ġsd k",
+      "ounc ill",
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+      "ĠDr um",
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+      "(at tribute",
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+      "ĠEth ernet",
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+      "ĠH M",
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+      "Forms Module",
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+      ". currency",
+      ".c urrency",
+      ".curr ency",
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+      "a ccion",
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+      "NO NE",
+      "NON E",
+      "\" },čĊ",
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+      "Ġft p",
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+      "p olate",
+      "po late",
+      "pol ate",
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+      "Ġpursue d",
+      "ĠĠĠĠ čĊĠĠĠĠčĊ",
+      "ĠĠĠĠčĊ ĠĠĠĠčĊ",
+      "DE SCRIPTION",
+      "DESC RIPTION",
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+      "Ġdecor ative",
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+      "_S SL",
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+      "( chat",
+      "(c hat",
+      "(ch at",
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+      "<D ouble",
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+      "³ ³³³³³³³",
+      "³³ ³³³³³³",
+      "³³³³ ³³³³",
+      "³³³ ³³³³³",
+      "³³³³³³³ ³",
+      "³³³³³ ³³³",
+      "³³³³³³ ³³",
+      "Ġ CPF",
+      "ĠC PF",
+      "ĠCP F",
+      "Ġ Understanding",
+      "ĠUnder standing",
+      "ĠUnderstand ing",
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+      "Ġcosm etic",
+      "ĠX t",
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+      "ti ps",
+      "tip s",
+      "+ k",
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+      "(\" '",
+      "ĠP DT",
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+      ". slug",
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+      ".sl ug",
+      "ĠD ipl",
+      "ĠDi pl",
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+      "= \"\",",
+      "=\" \",",
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+      "ĠFilm s",
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+      "ĠA nim",
+      "ĠAn im",
+      ". help",
+      ".h elp",
+      ".he lp",
+      "Ġemb assy",
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+      "ĠBoot s",
+      "ĠBoo ts",
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+      "Ġbu nk",
+      "Ġbun k",
+      "- risk",
+      "-r isk",
+      "Ġ pci",
+      "Ġp ci",
+      "Ġpc i",
+      "Ġ/ \\.",
+      "Ġ/\\ .",
+      "ĠI PT",
+      "ĠIP T",
+      "Ġcr ashing",
+      "Ġcrash ing",
+      "Ġ ipv",
+      "Ġi pv",
+      "Ġip v",
+      "_ ke",
+      "_k e",
+      "Ġ RESP",
+      "ĠR ESP",
+      "ĠRE SP",
+      "ĠRES P",
+      ".Log Error",
+      "Ġinade quate",
+      "I on",
+      "Io n",
+      "Ġ Für",
+      "ĠF ür",
+      "ric ula",
+      "Ġ shouldBe",
+      "Ġshould Be",
+      "al ready",
+      "'] .\"</",
+      "']. \"</",
+      "'].\" </",
+      "Ġ Stuff",
+      "ĠSt uff",
+      "Digit e",
+      "Dig ite",
+      "Ġ translator",
+      "Ġtrans lator",
+      "Ġtransl ator",
+      "_ sprite",
+      "_s prite",
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+      "let al",
+      "leta l",
+      "Ġma ior",
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+      "ĠSex e",
+      "th anks",
+      "than ks",
+      "thank s",
+      "Ġ Completed",
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+      "ĠComp leted",
+      "ĠComplete d",
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+      "ĠO rig",
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+      "ĠRo ma",
+      "ÃŃ f",
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+      "Ġfav ored",
+      "Ġv ain",
+      "Ġva in",
+      "Ġvai n",
+      "Ġs poon",
+      "Ġsp oon",
+      "Ġspo on",
+      "ĠJ ahren",
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+      "ĠJahr en",
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+      "Ġ ning",
+      "Ġn ing",
+      "Ġni ng",
+      "Ġnin g",
+      "W WW",
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+      "ĠCB C",
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+      "Ġdefense s",
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+      "b alls",
+      "ball s",
+      "bal ls",
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+      "Ġsh aping",
+      "Ġsha ping",
+      "Ġ }}>",
+      "Ġ} }>",
+      "Ġ}} >",
+      "G ED",
+      "GE D",
+      "f aq",
+      "fa q",
+      "Ġoption ally",
+      "Ġoptional ly",
+      "_ Dis",
+      "_D is",
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+      "ĠC ensus",
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+      "_CA RD",
+      "_CAR D",
+      "Ġav iation",
+      "Ġavi ation",
+      "ĠG ym",
+      "ĠGy m",
+      "Author ity",
+      ". Bean",
+      ".B ean",
+      ".Be an",
+      "sh ader",
+      "sha der",
+      "shade r",
+      "Not Exist",
+      "_ TextChanged",
+      "_Text Changed",
+      "Ġ STOP",
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+      "ĠST OP",
+      "( team",
+      "(t eam",
+      "(te am",
+      "\" H",
+      "w g",
+      "Ġgr inder",
+      "Ġgri nder",
+      "Ġgrind er",
+      "Ġgrin der",
+      "Ġ stripe",
+      "Ġst ripe",
+      "Ġstr ipe",
+      "Ġstri pe",
+      "Ġstrip e",
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+      "Cl aim",
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+      ", www",
+      ",w ww",
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+      "_ chan",
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+      "_ Size",
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+      "Ġob jection",
+      "Ġobject ion",
+      "Ġobj ection",
+      "ĠK ane",
+      "ĠKa ne",
+      "ĠKan e",
+      "Ġcor ros",
+      "Ġcorr os",
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+      "Ġ ua",
+      "Ġu a",
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+      "ĠStr ategic",
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+      "_ tcp",
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+      "Ġborrow ed",
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+      "ĠA ch",
+      "ĠAc h",
+      "ĉ command",
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+      "Ġ gps",
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+      "lest on",
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+      "ĉs earch",
+      "ĉse arch",
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+      "Ho tel",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ čĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠčĊ",
+      "Ġ Pitch",
+      "ĠP itch",
+      "ĠPit ch",
+      "Ġ Ùģ",
+      "ĠÙ ģ",
+      "READ Y",
+      "REA DY",
+      "Ġpar ental",
+      "Ġparent al",
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+      "Ġg éné",
+      "Ġgé né",
+      "Ġgén é",
+      "Ġdonn ées",
+      "Ġde tain",
+      "Ġdet ain",
+      "T ARGET",
+      "Ġprotagon ist",
+      "Ġclear Interval",
+      "Ġ IconButton",
+      "ĠIcon Button",
+      "ĠGet All",
+      "Type Info",
+      "E H",
+      "âĢľ They",
+      "âĢľThe y",
+      "Ġ{ [",
+      "Ġg ag",
+      "Ġga g",
+      "Ġ Ú©",
+      "Ġ Dropdown",
+      "ĠD ropdown",
+      "ĠDrop down",
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+      "ĉcur l",
+      "_ CAN",
+      "_C AN",
+      "_CA N",
+      "Ġ Bone",
+      "ĠB one",
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+      "ĠBon e",
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+      "on yms",
+      "ony ms",
+      "onym s",
+      "- government",
+      "-g overnment",
+      ".binding Navigator",
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+      "ĠD ans",
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+      "ĠDa ns",
+      "ĠMc L",
+      "( en",
+      "(e n",
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+      ">( _",
+      "ÐĴ Ñĭ",
+      ".* ;čĊ",
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+      "S on",
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+      ".ToolStrip Item",
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+      "-a round",
+      "-ar ound",
+      "_ XML",
+      "_X ML",
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+      "Ġsl ack",
+      "Ġsla ck",
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+      "Ġrotate d",
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+      "_ skill",
+      "_s kill",
+      "_sk ill",
+      "hou ette",
+      "! čĊ",
+      ". weather",
+      ".we ather",
+      "Ġemphas ized",
+      "Ġemphasize d",
+      "å® ¶",
+      "ĠÑģ пиÑģ",
+      "ĠÑģп иÑģ",
+      "Ġ Compiler",
+      "ĠC ompiler",
+      "ĠCom piler",
+      "ĠComp iler",
+      "ĠCompile r",
+      "( android",
+      "(and roid",
+      "Ġ âĢº",
+      "ĠâĢ º",
+      ". turn",
+      ".t urn",
+      "Ġsup pression",
+      "Ġsuppress ion",
+      "Ġsupp ression",
+      "_ calls",
+      "_c alls",
+      "_call s",
+      "_cal ls",
+      "Ġ *@",
+      "Ġ* @",
+      "( strlen",
+      "(str len",
+      "(st rlen",
+      ". hex",
+      ".h ex",
+      ".he x",
+      "ĠB ills",
+      "ĠBill s",
+      "ĠBil ls",
+      "Ġ RSA",
+      "ĠR SA",
+      "ĠRS A",
+      "Ï Ĥ",
+      "Ġ Escape",
+      "ĠE scape",
+      "ĠEs cape",
+      "ĠEsc ape",
+      "ement ia",
+      "Ġ frontend",
+      "Ġfront end",
+      "Ġp int",
+      "Ġpi nt",
+      "Ġpin t",
+      "_ exc",
+      "_e xc",
+      "_ex c",
+      "z zo",
+      "zz o",
+      "[ ],Ċ",
+      "[] ,Ċ",
+      "[], Ċ",
+      "Ġ\"' ,'\"",
+      "Ġ\"', '\"",
+      "Ġ\"',' \"",
+      ". Environment",
+      ".En vironment",
+      "Ġafore mentioned",
+      "Ġend ure",
+      "prot otype",
+      "proto type",
+      "ther apy",
+      "the rapy",
+      "s si",
+      "ss i",
+      "D eg",
+      "De g",
+      "_ plugins",
+      "_pl ugins",
+      "_plugin s",
+      ". userInfo",
+      ".user Info",
+      "Pr inter",
+      "Print er",
+      "Ġ PROGRAM",
+      "ĠPRO GRAM",
+      "Ġru ins",
+      "Ġruin s",
+      "Ġemp irical",
+      "Ġempir ical",
+      "Ġ crawl",
+      "Ġc rawl",
+      "Ġcr awl",
+      "Ġcraw l",
+      "Ġcra wl",
+      "ĠBo iler",
+      "- comment",
+      "-com ment",
+      "-comm ent",
+      ". subplot",
+      ".sub plot",
+      "_ et",
+      "_e t",
+      "Ġ' .',",
+      "Ġ'. ',",
+      "Ġ'.' ,",
+      "min or",
+      "mi nor",
+      "mino r",
+      "ĠCustom s",
+      "ĠCust oms",
+      "Ġ yaw",
+      "Ġy aw",
+      "Ġya w",
+      "under line",
+      "Ġ Como",
+      "ĠC omo",
+      "ĠCom o",
+      "ĠCo mo",
+      "( ('",
+      "(( '",
+      "( mean",
+      "(m ean",
+      "(me an",
+      "Ġch aque",
+      "Ġcha que",
+      "Ġ Blocks",
+      "ĠB locks",
+      "ĠBl ocks",
+      "ĠBlock s",
+      "ĠBlo cks",
+      "ĠBloc ks",
+      ". rad",
+      ".r ad",
+      ".ra d",
+      "ilib rium",
+      "Ġ webdriver",
+      "Ġweb driver",
+      "Ġmel hor",
+      "d ana",
+      "da na",
+      "dan a",
+      "ĠAb use",
+      "ĠAbu se",
+      "ĠSouth west",
+      "Ġ Paren",
+      "ĠP aren",
+      "ĠPar en",
+      "ĠPa ren",
+      "ĠPare n",
+      "PERT IES",
+      "ĉ IL",
+      "ĉI L",
+      "Ġs cream",
+      "Ġsc ream",
+      "Ġscre am",
+      "Ġscr eam",
+      "v u",
+      "Ġin comes",
+      "Ġinc omes",
+      "Ġincome s",
+      "Ġincom es",
+      "Ġ nim",
+      "Ġn im",
+      "Ġni m",
+      "Ġ lace",
+      "Ġl ace",
+      "Ġla ce",
+      "Ġlac e",
+      "Ġcompens ate",
+      "Re verse",
+      "Rev erse",
+      "D at",
+      "Da t",
+      "_ attack",
+      "_att ack",
+      "Ġn our",
+      "Ġno ur",
+      "Ġnou r",
+      "a chen",
+      "ac hen",
+      "ach en",
+      "ache n",
+      "c ek",
+      "ce k",
+      "< Func",
+      "<F unc",
+      "w ie",
+      "wi e",
+      "com pressed",
+      "comp ressed",
+      "compress ed",
+      "- match",
+      "-m atch",
+      "(\" \")]Ċ",
+      "(\"\" )]Ċ",
+      "(\"\") ]Ċ",
+      "im ized",
+      "imize d",
+      "imi zed",
+      "imiz ed",
+      ". orientation",
+      ".o rientation",
+      ". compareTo",
+      ".compare To",
+      "Ġmass aggi",
+      "Ġ ìľĦ",
+      "Ġìľ Ħ",
+      "Ġel bow",
+      "Ġant ioxid",
+      "Ġanti oxid",
+      "und reds",
+      "undred s",
+      "/ tools",
+      "/t ools",
+      "/to ols",
+      "/tool s",
+      "Ġ ROW",
+      "ĠR OW",
+      "ĠRO W",
+      "an mar",
+      "Ġ Wow",
+      "ĠW ow",
+      "ĠWo w",
+      "_ ticket",
+      "_t icket",
+      "_tick et",
+      "_ti cket",
+      "Program ming",
+      "Ġth eor",
+      "Ġthe or",
+      "Ġtheo r",
+      "- review",
+      "-r eview",
+      "-re view",
+      "( ))));Ċ",
+      "() )));Ċ",
+      "()) ));Ċ",
+      "())) );Ċ",
+      "()))) ;Ċ",
+      "ĠRichard son",
+      "ĠRichards on",
+      "Ġ Pocket",
+      "ĠP ocket",
+      "ĠPo cket",
+      "] []",
+      "][ ]",
+      "a mpp",
+      "am pp",
+      "amp p",
+      "_ health",
+      "_he alth",
+      "Ġ POP",
+      "ĠP OP",
+      "ĠPO P",
+      "ĠN aval",
+      "ĠNav al",
+      "ĠNa val",
+      "G uess",
+      "Gu ess",
+      "Ġ ancestor",
+      "Ġan cestor",
+      "Ġancest or",
+      "Ġance stor",
+      ".Get All",
+      ".local Scale",
+      "Ġ Mapper",
+      "ĠM apper",
+      "ĠMap per",
+      "ĠMa pper",
+      "Ġaccum ulation",
+      "Ġsim ulated",
+      "Ġsimulate d",
+      "Ġsimul ated",
+      "Ġ Drivers",
+      "ĠDr ivers",
+      "ĠDriver s",
+      "ĠDrive rs",
+      "Ġd és",
+      "Ġdé s",
+      "c urring",
+      "cur ring",
+      "curr ing",
+      "Ġele phant",
+      "Ġadvert ised",
+      "Ġadvertis ed",
+      "Ġadvertise d",
+      "Ġ mailbox",
+      "Ġmail box",
+      "SH IFT",
+      "ĠM onica",
+      "ĠMon ica",
+      "Ġ anc",
+      "Ġa nc",
+      "Ġan c",
+      "Ġward robe",
+      "Ing redients",
+      "Ingredient s",
+      "Ġ| |čĊ",
+      "Ġ|| čĊ",
+      "i ppy",
+      "ip py",
+      "ipp y",
+      "Ġantib iotics",
+      "Ġantibiot ics",
+      "Ġantibiotic s",
+      "av ings",
+      "aving s",
+      "avin gs",
+      "( cx",
+      "(c x",
+      "ĠFerr ari",
+      "Ġ Animator",
+      "ĠAn imator",
+      "ĠAnim ator",
+      ". dtype",
+      ".d type",
+      ".dt ype",
+      "re moved",
+      "rem oved",
+      "remove d",
+      "order by",
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+      "Ġcr es",
+      "Ġcre s",
+      "oc ê",
+      "Ġp ym",
+      "Ġpy m",
+      "Ġ Circular",
+      "ĠC ircular",
+      "ĠCirc ular",
+      "ĠCir cular",
+      "@ index",
+      "Ġ Warm",
+      "ĠW arm",
+      "ĠWar m",
+      "ĠWa rm",
+      "S ay",
+      "Sa y",
+      "ĠAss istance",
+      "ĠAssist ance",
+      "Ġcur tain",
+      "Ġcurt ain",
+      "ĠM onte",
+      "ĠMon te",
+      "ĠMo nte",
+      "ĠMont e",
+      "I LER",
+      "IL ER",
+      "ILE R",
+      "Ġ CVE",
+      "ĠC VE",
+      "ĠCV E",
+      "ĠD uck",
+      "ĠDu ck",
+      "ĠDuc k",
+      "Ġ Allows",
+      "ĠAll ows",
+      "ĠAllow s",
+      "_ fire",
+      "_f ire",
+      "ĠDer by",
+      "Ġ repos",
+      "Ġre pos",
+      "Ġrep os",
+      "Ġrepo s",
+      "Ġ httpClient",
+      "Ġhttp Client",
+      "Ġpsych iat",
+      "Ġnow adays",
+      "Ġcaut ious",
+      "ĠComp uting",
+      "ĠComput ing",
+      "Ġcompletion Handler",
+      "ĠWel sh",
+      "Ġ BEST",
+      "ĠB EST",
+      "ĠBE ST",
+      "Ġstress ful",
+      "_ PE",
+      "_P E",
+      "æĹ¥ æľŁ",
+      "Ġ DataFrame",
+      "ĠData Frame",
+      "ĉ Integer",
+      "ĉInt eger",
+      "_ Print",
+      "_P rint",
+      "_Pr int",
+      "M oves",
+      "Move s",
+      "Mo ves",
+      "Mov es",
+      "Ġtrans forming",
+      "Ġtransform ing",
+      ". Batch",
+      ".B atch",
+      "y ahoo",
+      "ya hoo",
+      "yah oo",
+      "Position s",
+      "Pos itions",
+      "z ej",
+      "ze j",
+      "Ġn ood",
+      "Ġno od",
+      "i ores",
+      "io res",
+      "ior es",
+      "iore s",
+      "_ *",
+      "Ġ clk",
+      "Ġc lk",
+      "Ġcl k",
+      "ĠF loyd",
+      "ĠFlo yd",
+      "Ġ hap",
+      "Ġh ap",
+      "Ġha p",
+      "font size",
+      "fonts ize",
+      "Ġ naz",
+      "Ġn az",
+      "Ġna z",
+      ". notification",
+      ".not ification",
+      "ĠDe pression",
+      "ĠDep ression",
+      "Ġac ne",
+      "* **ĊĊ",
+      "** *ĊĊ",
+      "*** ĊĊ",
+      "***Ċ Ċ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
+      ". contents",
+      ".cont ents",
+      ".content s",
+      "y nth",
+      "yn th",
+      "Ġ Straight",
+      "ĠStr aight",
+      "ĠStra ight",
+      "')}} \"></",
+      "')}}\" ></",
+      "')}}\"> </",
+      "Ġbu lb",
+      "Ġbul b",
+      "R X",
+      "//---------------------------------------------------------------- --------------Ċ",
+      "//---------------------------------------------------------------------------- --Ċ",
+      "Ġcom unic",
+      "Ġcomun ic",
+      "Ġ RN",
+      "ĠR N",
+      "- medium",
+      "-m edium",
+      "-med ium",
+      "LE AN",
+      "= len",
+      "=l en",
+      "Phone Number",
+      "erv ations",
+      "ervation s",
+      "Ac curacy",
+      "Acc uracy",
+      "Ġ Annotation",
+      "ĠAn notation",
+      "ĠAnn otation",
+      "_ keyword",
+      "_key word",
+      "_ hint",
+      "_h int",
+      "_hi nt",
+      "ĠAth ens",
+      "ĠAthen s",
+      "ĠAthe ns",
+      "Ġass isting",
+      "Ġassist ing",
+      "Ġ HC",
+      "ĠH C",
+      ". Initialize",
+      ".Initial ize",
+      "' )))Ċ",
+      "') ))Ċ",
+      "')) )Ċ",
+      "'))) Ċ",
+      "u pa",
+      "up a",
+      "Ġsu iv",
+      "Ġsui v",
+      "Ġ IPC",
+      "ĠI PC",
+      "ĠIP C",
+      "<T Entity",
+      "Ġbr anded",
+      "Ġbrand ed",
+      "Ġbran ded",
+      "oom la",
+      "l arı",
+      "la rı",
+      "lar ı",
+      "ĠXML HttpRequest",
+      "Ġdé jÃł",
+      "Ġtrans cription",
+      "Ġtran scription",
+      "Ġtranscript ion",
+      "Ġprev alent",
+      "Ġpreval ent",
+      ". plan",
+      ".p lan",
+      ".pl an",
+      "Ġst are",
+      "Ġstar e",
+      "Ġsta re",
+      "Ġwork outs",
+      "Ġworkout s",
+      "ĠEduc ational",
+      "ĠEducation al",
+      "Ġmess y",
+      "Ġmes sy",
+      "ĠM OT",
+      "ĠMO T",
+      ".Command Type",
+      "Q ed",
+      "(g ca",
+      "(gc a",
+      "ĠLinearLayout Manager",
+      "ĠLinear LayoutManager",
+      "ĠB low",
+      "ĠBl ow",
+      "ĠBlo w",
+      "ĠAl uminum",
+      "Ġswinger club",
+      "ĠTrans it",
+      "ĠTran sit",
+      "Ġex pos",
+      "Ġexp os",
+      "Ġexpo s",
+      "v ir",
+      "vi r",
+      "( second",
+      "(se cond",
+      "(sec ond",
+      "Ġbelong ed",
+      "S tone",
+      "St one",
+      "éķ ¿",
+      "ĠS ul",
+      "ĠSu l",
+      "Ġ gid",
+      "Ġg id",
+      "Ġgi d",
+      "Ġal loy",
+      "Ġall oy",
+      "Ġallo y",
+      "er va",
+      "erv a",
+      "i second",
+      "ise cond",
+      "_RE NDER",
+      "_R ENDER",
+      "Ġang els",
+      "Ġange ls",
+      "Ġangel s",
+      "ĠPhilosoph y",
+      "o pus",
+      "op us",
+      "Ġm oo",
+      "Ġmo o",
+      "eng uin",
+      "engu in",
+      "_V ARIABLE",
+      "_ DEST",
+      "_D EST",
+      "_DE ST",
+      "( aux",
+      "(a ux",
+      "Ġ hoe",
+      "Ġh oe",
+      "Ġho e",
+      "Ġ dob",
+      "Ġd ob",
+      "Ġdo b",
+      "attach ments",
+      "attachment s",
+      "Ġcor ridor",
+      "Ġcorrid or",
+      "Ġcorr idor",
+      "Ġdiv idend",
+      "Ġdivide nd",
+      "Ġdivid end",
+      "Ŀ ¼",
+      "Ġ Throughout",
+      "ĠThrough out",
+      ". optim",
+      ".op tim",
+      ".opt im",
+      "$ new",
+      "$n ew",
+      "Ġ berg",
+      "Ġb erg",
+      "Ġbe rg",
+      "Ġber g",
+      "Ġspread sheet",
+      "Ġspreads heet",
+      ".Try GetValue",
+      "Ġp ayout",
+      "Ġpay out",
+      "ĠOn Destroy",
+      "auth entication",
+      "ĠMig uel",
+      "r tc",
+      "rt c",
+      "ĠChrist ine",
+      "ĠChr istine",
+      "Ġ AIR",
+      "ĠA IR",
+      "ĠAI R",
+      "Ġju ris",
+      "Ġjur is",
+      "Ġdes pair",
+      "Ġdesp air",
+      "Ġpat ents",
+      "Ġpatent s",
+      "- has",
+      "-h as",
+      "% ^",
+      "ä» ĺ",
+      "_str dup",
+      "ĠR ear",
+      "ĠRe ar",
+      "et tes",
+      "ette s",
+      "ett es",
+      "( properties",
+      "(p roperties",
+      "(prop erties",
+      "Ġw ritable",
+      "Ġwrit able",
+      "Ġwr itable",
+      ". isNull",
+      ".is Null",
+      "ol ics",
+      "olic s",
+      "oli cs",
+      "_ blob",
+      "_b lob",
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+      "af i",
+      "ow ych",
+      "owy ch",
+      "è İ·åıĸ",
+      "èİ· åıĸ",
+      "Ã ĩ",
+      "ĠCard inal",
+      "Ġt ema",
+      "Ġte ma",
+      "Ġtem a",
+      "\" And",
+      "\"A nd",
+      "Page Size",
+      "ç§ Ĵ",
+      ".Simple DateFormat",
+      "Ġ Winner",
+      "ĠW inner",
+      "ĠWin ner",
+      "ĠWinn er",
+      "Ġ correo",
+      "Ġcor reo",
+      "Ġcorre o",
+      "Ġcorr eo",
+      "_ we",
+      "_w e",
+      ".add Object",
+      "( course",
+      "(c ourse",
+      "(co urse",
+      "Ġ hog",
+      "Ġh og",
+      "Ġho g",
+      "o pro",
+      "op ro",
+      "opr o",
+      "Ġprob ation",
+      "u nable",
+      "un able",
+      "una ble",
+      "( active",
+      "(act ive",
+      "åĽ¾ çīĩ",
+      "Ġpert aining",
+      "Ġemphas ize",
+      "Ġ Printer",
+      "ĠPr inter",
+      "ĠPrint er",
+      "= .",
+      "Ġup grading",
+      "/ contact",
+      "= [[",
+      "=[ [",
+      "- san",
+      "-s an",
+      "ĉ values",
+      "ĉvalue s",
+      "ĉval ues",
+      "Ġdo sage",
+      "Ġdos age",
+      "S olid",
+      "So lid",
+      "Sol id",
+      "ĠRoose velt",
+      "åķĨ åĵģ",
+      "Ġre creation",
+      "Ġrec reation",
+      "Ġrecre ation",
+      "ĠTer min",
+      "ĠTerm in",
+      ". Bad",
+      ".B ad",
+      "ĠB olt",
+      "ĠBo lt",
+      "ĠBol t",
+      "S ky",
+      "Sk y",
+      "_ Image",
+      "_I mage",
+      "Ġs quir",
+      "Ġsqu ir",
+      "Ġsq uir",
+      "ĠC ob",
+      "ĠCo b",
+      "O RN",
+      "OR N",
+      "Ġ auc",
+      "Ġa uc",
+      "Ġau c",
+      ". LEFT",
+      ".LE FT",
+      "' B",
+      "-res istant",
+      "> \"+",
+      ">\" +",
+      "Ġ tokenizer",
+      "Ġtoken izer",
+      "Ġtokenize r",
+      "Ġsovere ignty",
+      "Ġsovereign ty",
+      "ĠP ence",
+      "ĠPe nce",
+      "ĠPen ce",
+      "( )\");Ċ",
+      "() \");Ċ",
+      "()\" );Ċ",
+      "Ġpesso as",
+      "Ġpessoa s",
+      ". Ge",
+      ".G e",
+      "Ġ Included",
+      "ĠIn cluded",
+      "ĠInclude d",
+      "Ġ pagina",
+      "Ġp agina",
+      "Ġpag ina",
+      "Ġex posing",
+      "Ġexp osing",
+      "Ġexpos ing",
+      "Ġexpo sing",
+      "е ÑĪ",
+      "_ SCRIPT",
+      "_SC RIPT",
+      "/ $',",
+      "/$ ',",
+      "Th umbnail",
+      "× Ķ",
+      "webElement X",
+      "webElementX paths",
+      "press ure",
+      "pres sure",
+      "ĠC urry",
+      "ĠCur ry",
+      "_ CP",
+      "_C P",
+      "OL UTION",
+      "I LES",
+      "IL ES",
+      "ILE S",
+      "prot ect",
+      "o ola",
+      "ool a",
+      "oo la",
+      "Work space",
+      "Works pace",
+      "{ };Ċ",
+      "{} ;Ċ",
+      "Ġ UNS",
+      "ĠU NS",
+      "ĠUN S",
+      "Ġsymp athy",
+      "Ġsympath y",
+      "r oker",
+      "ro ker",
+      "roke r",
+      "rok er",
+      "Ġre model",
+      "Ġr emodel",
+      "Ġrem odel",
+      "ĉ cell",
+      "ĉc ell",
+      "Ġa top",
+      "Ġat op",
+      ". FullName",
+      ".Full Name",
+      "Ġf aut",
+      "Ġfa ut",
+      "ĠE asily",
+      "_ dynamic",
+      "_d ynamic",
+      "_dyn amic",
+      "Ġfr amed",
+      "Ġframe d",
+      "Ġfra med",
+      "Ġfram ed",
+      "Ġm otive",
+      "Ġmot ive",
+      "Ġmotiv e",
+      "è· ¯",
+      "s am",
+      "sa m",
+      "Ġ marca",
+      "Ġmar ca",
+      "Ġmarc a",
+      "ĠText EditingController",
+      "Ġd estructor",
+      "Ġde structor",
+      "Ġdestruct or",
+      "c ream",
+      "cre am",
+      "cr eam",
+      "Ġr ude",
+      "Ġru de",
+      "Ġrud e",
+      "Ġ Bold",
+      "ĠB old",
+      "ĠBo ld",
+      "ĠBol d",
+      "ĠInd igenous",
+      "Ġ gens",
+      "Ġg ens",
+      "Ġge ns",
+      "Ġgen s",
+      "Ġrel acion",
+      "( system",
+      "(s ystem",
+      "(sys tem",
+      "Ġ UIFont",
+      "ĠUI Font",
+      "ĠUIF ont",
+      "_ charge",
+      "_ch arge",
+      "_char ge",
+      "U STER",
+      "US TER",
+      "UST ER",
+      "E V",
+      ". Namespace",
+      ".N amespace",
+      ".Name space",
+      ".Names pace",
+      "Ġmer ger",
+      "Ġmerge r",
+      "Ġmerg er",
+      "Ġ calloc",
+      "Ġc alloc",
+      "Ġcall oc",
+      "Ġcal loc",
+      "g ang",
+      "ga ng",
+      "gan g",
+      "Bad Request",
+      "Ġs per",
+      "Ġsp er",
+      "Ġspe r",
+      "- design",
+      "-d esign",
+      "-de sign",
+      "-des ign",
+      "Ġ âĩ",
+      "Ġâ ĩ",
+      "C han",
+      "Ch an",
+      "Cha n",
+      "Ġorg anism",
+      "Ġorgan ism",
+      "Ġorganis m",
+      ", )",
+      "= id",
+      "=i d",
+      "_ plane",
+      "_p lane",
+      "_pl ane",
+      "_plan e",
+      "Ġ Cases",
+      "ĠC ases",
+      "ĠCas es",
+      "ĠCase s",
+      "ĠCa ses",
+      "el fast",
+      "elf ast",
+      "ĠLegisl ature",
+      "ĠF aker",
+      "ĠFa ker",
+      "ĠFake r",
+      "ĠFak er",
+      "Ġinv oking",
+      "Ġinvo king",
+      "- utils",
+      "-util s",
+      "( ).'",
+      "() .'",
+      "(). '",
+      ". face",
+      ".f ace",
+      ".fac e",
+      ".fa ce",
+      "Ġguard ian",
+      "my Modal",
+      "Ġ clipboard",
+      "Ġclip board",
+      "ĠA TM",
+      "ĠAT M",
+      "Ġpe as",
+      "Ġpea s",
+      "ĠS ylv",
+      "ĠSy lv",
+      ". calc",
+      ".c alc",
+      ".ca lc",
+      ".cal c",
+      "Ġ Contacts",
+      "ĠCont acts",
+      "ĠContact s",
+      "int Value",
+      "Ġmod ifying",
+      "Ġmodify ing",
+      "ĠB arb",
+      "ĠBar b",
+      "ĠBa rb",
+      ". loss",
+      ".l oss",
+      ".lo ss",
+      "_ percentage",
+      "_per centage",
+      "_percent age",
+      "As ked",
+      "Ask ed",
+      "( lst",
+      "(l st",
+      "(ls t",
+      "ateg orical",
+      "ategor ical",
+      "ategori cal",
+      "atego rical",
+      "- files",
+      "-f iles",
+      "-file s",
+      "-fi les",
+      "ĠRom ania",
+      "ĠRo mania",
+      "ĠRoman ia",
+      "ĠRoma nia",
+      ". Ac",
+      ".A c",
+      "Ġ hai",
+      "Ġh ai",
+      "Ġha i",
+      "Ġ Flying",
+      "ĠF lying",
+      "ĠFl ying",
+      "ĠFly ing",
+      "Ġ ż",
+      "ĠÅ ¼",
+      "j p",
+      "ĠTr ainer",
+      "ĠTra iner",
+      "ĠTrain er",
+      ". arc",
+      ".a rc",
+      ".ar c",
+      "_ deg",
+      "_d eg",
+      "_de g",
+      "Ġtrace back",
+      "Or Fail",
+      "F LOW",
+      "FL OW",
+      ". old",
+      ".o ld",
+      ".ol d",
+      "o ya",
+      "oy a",
+      "g mt",
+      "gm t",
+      "is empty",
+      "Ġvacc ination",
+      "Ġ obsolete",
+      "Ġob solete",
+      "recogn ized",
+      "Ġru ined",
+      "Ġruin ed",
+      "ĠR ein",
+      "ĠRe in",
+      "ĠRei n",
+      "Ġ Tracking",
+      "ĠTr acking",
+      "ĠTrack ing",
+      "x fb",
+      "xf b",
+      "ا ÛĮ",
+      "Ġv ære",
+      "Ġvæ re",
+      "Ġbr yster",
+      "Ġ ITS",
+      "ĠI TS",
+      "ĠIT S",
+      "Ġdes tiny",
+      "Ġdest iny",
+      "Ġdestin y",
+      "Ġs wear",
+      "Ġsw ear",
+      "Ġswe ar",
+      "Ġre des",
+      "Ġr edes",
+      "Ġred es",
+      "Ġrede s",
+      "Ġ clf",
+      "Ġc lf",
+      "Ġcl f",
+      "Ġfl ipped",
+      "Ġflip ped",
+      "ĉ head",
+      "ĉh ead",
+      "B luetooth",
+      "Bl uetooth",
+      "Ġ Overrides",
+      "ĠOver rides",
+      "ĠOverride s",
+      ": Boolean",
+      "_ =",
+      "_ lr",
+      "_l r",
+      "s pawn",
+      "sp awn",
+      "spa wn",
+      ": index",
+      "VAL UES",
+      "VALUE S",
+      "is key",
+      "isk ey",
+      "iske y",
+      "? \");Ċ",
+      "?\" );Ċ",
+      ".syn thetic",
+      "Ġ Checking",
+      "ĠCheck ing",
+      "struct ures",
+      "structure s",
+      "i ping",
+      "ip ing",
+      "ipi ng",
+      "Ġvoc als",
+      "Ġvocal s",
+      "- Up",
+      "-U p",
+      "ĠManufact urers",
+      "ĠManufacturer s",
+      "ĠMar riage",
+      "ĠMarr iage",
+      "代 çłģ",
+      "Ġgar ner",
+      "Ġgarn er",
+      "_ Client",
+      "_C lient",
+      "_Cl ient",
+      "par allel",
+      "paralle l",
+      "RI END",
+      "Ġvine gar",
+      "se gue",
+      "seg ue",
+      "J B",
+      "Ġcont acting",
+      "Ġcontact ing",
+      "ĠCar roll",
+      "ĠCarr oll",
+      "Ġout reach",
+      "Ġoutr each",
+      "t ensor",
+      "_ variant",
+      "_v ariant",
+      "_var iant",
+      "Ġt heat",
+      "Ġth eat",
+      "Ġthe at",
+      "l icable",
+      "lic able",
+      "lica ble",
+      "{ |",
+      "t iny",
+      "ti ny",
+      "tin y",
+      "_ letter",
+      "_l etter",
+      "Ġp encil",
+      "Ġpen cil",
+      "Ġpenc il",
+      "HeadersHeight SizeMode",
+      "il tro",
+      "ilt ro",
+      "iltr o",
+      ".auto configure",
+      ". drag",
+      ".d rag",
+      ".dr ag",
+      ". useState",
+      ".use State",
+      "Ġ BMI",
+      "ĠB MI",
+      "ĠBM I",
+      "h int",
+      "hi nt",
+      "hin t",
+      "Com pile",
+      "Comp ile",
+      "* \\",
+      "en ary",
+      "ena ry",
+      "Ġ lvl",
+      "Ġl vl",
+      "Ġlv l",
+      ". Cache",
+      ".C ache",
+      "+ =\"",
+      "+= \"",
+      "_ tv",
+      "_t v",
+      "ruit ment",
+      "Ġf read",
+      "Ġfr ead",
+      "Ġfre ad",
+      "Art icles",
+      "Article s",
+      "f ila",
+      "fi la",
+      "fil a",
+      "Ġpack aged",
+      "Ġpackage d",
+      "âĺ Ĩ",
+      "AT HER",
+      "ATH ER",
+      "ĠPl anned",
+      "ĠPlan ned",
+      "s cheme",
+      "sch eme",
+      "Ġdi ary",
+      "Ġdia ry",
+      "Ġoff enses",
+      "Ġoffense s",
+      "Ġoffen ses",
+      "/ <?",
+      "/< ?",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "Progress HUD",
+      "ĠG or",
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+      ".get Title",
+      "Ġm ocked",
+      "Ġmock ed",
+      "Ġmoc ked",
+      "ĠT ory",
+      "ĠTo ry",
+      "ĠTor y",
+      "Ġ\" )\";Ċ",
+      "Ġ\") \";Ċ",
+      "Ġ\")\" ;Ċ",
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+      "ĠBris bane",
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+      "= ('",
+      "=( '",
+      "ĉ ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĉ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĉĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĉĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĉĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĉĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĉĉĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĉĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĉĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĉĉĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĉĉĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĉĉĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĉĉĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "Ġ arter",
+      "Ġar ter",
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+      "Ġunder going",
+      "Ġundergo ing",
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+      "Ġc erc",
+      "Ġce rc",
+      "Ġcer c",
+      "ĠS lee",
+      "ĠSl ee",
+      "ĠSle e",
+      "ĉ ĉĠĠĠĠĠĠĠĠ",
+      "ĉĉ ĠĠĠĠĠĠĠĠ",
+      "ĉĉĠĠĠ ĠĠĠĠĠ",
+      "ĉĉĠ ĠĠĠĠĠĠĠ",
+      "ĉĉĠĠ ĠĠĠĠĠĠ",
+      "ĉĉĠĠĠĠĠĠĠ Ġ",
+      "ĉĉĠĠĠĠ ĠĠĠĠ",
+      "ĉĉĠĠĠĠĠ ĠĠĠ",
+      "ĉĉĠĠĠĠĠĠ ĠĠ",
+      "< Image",
+      "<I mage",
+      "Ġ 设",
+      "Ġè® ¾",
+      "- editor",
+      "-e ditor",
+      "-edit or",
+      "-ed itor",
+      "p ieces",
+      "pie ces",
+      "piece s",
+      "ĠD rama",
+      "ĠDr ama",
+      "ĠDra ma",
+      "ĠDram a",
+      "Ġ// ////////////////",
+      "Ġ////// ////////////",
+      "Ġ////////// ////////",
+      "Ġ Tasks",
+      "ĠT asks",
+      "ĠTask s",
+      "ĠTas ks",
+      "A RC",
+      "AR C",
+      "g ateway",
+      "gate way",
+      ".get cwd",
+      ". Metadata",
+      ".M etadata",
+      ".Meta data",
+      "Ġguess ing",
+      "åľ° åĿĢ",
+      "Ġsm arter",
+      "Ġsmart er",
+      "Ġ GetEnumerator",
+      "ĠGet Enumerator",
+      "Ġe fter",
+      "Ġef ter",
+      "/ operators",
+      "/operator s",
+      "Ġ GLfloat",
+      "ĠGL float",
+      "Ġf ør",
+      "Ġfø r",
+      "Ġ opaque",
+      "Ġo paque",
+      "Ġop aque",
+      "ä¿Ŀ åŃĺ",
+      "S pread",
+      "Sp read",
+      "Spr ead",
+      "S YSTEM",
+      "SY STEM",
+      "SYS TEM",
+      "Ġin version",
+      "Ġinv ersion",
+      "Ġinvers ion",
+      "ĠBasket ball",
+      "Ġsim ulations",
+      "Ġsimulation s",
+      "Ġsimul ations",
+      "Ġden ies",
+      "Ġ avez",
+      "Ġa vez",
+      "Ġav ez",
+      "Ġave z",
+      "_ listener",
+      "_list ener",
+      "_listen er",
+      "Ġenh ancing",
+      "ĠM yth",
+      "ĠMy th",
+      "ĠL akers",
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+      "ĠLake rs",
+      "ĠLak ers",
+      "_ MD",
+      "_M D",
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+      "DATA BASE",
+      "Ġt á»",
+      "ar th",
+      "art h",
+      "[ left",
+      "[l eft",
+      "Ġcon tests",
+      "Ġcont ests",
+      "Ġcontest s",
+      "Ġconte sts",
+      "s tile",
+      "st ile",
+      "sti le",
+      "(K ERN",
+      "_ fc",
+      "_f c",
+      "_ pm",
+      "_p m",
+      "Ġpres idents",
+      "Ġpresident s",
+      "Ġhospital ity",
+      "Ġ fadeIn",
+      "Ġfade In",
+      "RO PERTY",
+      "_ maps",
+      "_m aps",
+      "_map s",
+      "_ma ps",
+      "Ġ Definitions",
+      "ĠDefinition s",
+      "Ġassess ing",
+      "Ġasses sing",
+      "Ġu sar",
+      "Ġus ar",
+      "Ġusa r",
+      "Ġquant itative",
+      "m oz",
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+      "[ ((",
+      "[( (",
+      "b ons",
+      "bo ns",
+      "bon s",
+      "f requency",
+      "Cont ain",
+      "Con tain",
+      "Conta in",
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+      "Ġpuzz les",
+      "ĠC astro",
+      "ĠCas tro",
+      "ĠCast ro",
+      "ĠCa stro",
+      "Ġ villa",
+      "Ġv illa",
+      "Ġvi lla",
+      "Ġvill a",
+      "Ġvil la",
+      "Ġkind ly",
+      "Font Awesome",
+      "e rna",
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+      "_data s",
+      "_dat as",
+      "_da tas",
+      "ĉ ip",
+      "ĉi p",
+      ". padding",
+      ".p adding",
+      ".pad ding",
+      "ĠCon test",
+      "ĠCont est",
+      "ĠConte st",
+      "Ġed itions",
+      "Ġedit ions",
+      "Ġedition s",
+      "Ġdispro portion",
+      "Ġ ICO",
+      "ĠI CO",
+      "ĠIC O",
+      "Ġcome back",
+      "= value",
+      "=v alue",
+      "=val ue",
+      "r iad",
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+      "ria d",
+      "- sort",
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+      "( network",
+      "(n etwork",
+      "(net work",
+      "Ġ Cel",
+      "ĠC el",
+      "ĠCe l",
+      "Ġinstall ment",
+      "l ashes",
+      "las hes",
+      "lash es",
+      ". ListView",
+      ".List View",
+      "ĠV atican",
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+      "IVE D",
+      "re achable",
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+      "ĠC ITY",
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+      "ĠCIT Y",
+      "äº ¬",
+      "ĠHelp ful",
+      "Ġ baÅŁ",
+      "Ġb aÅŁ",
+      "Ġba ÅŁ",
+      "% čĊ",
+      "Ġpsych iatric",
+      "Ġpsychiat ric",
+      "Ġrec ycled",
+      "Ġrecycle d",
+      "Ġrecycl ed",
+      "F ORMAT",
+      "FORM AT",
+      "FOR MAT",
+      "Ġ Grow",
+      "ĠG row",
+      "ĠGr ow",
+      "ĠGro w",
+      "b ine",
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+      "bi ne",
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+      ". ss",
+      ".s s",
+      "Ġ Weapons",
+      "ĠWe apons",
+      "ĠWeapon s",
+      "ĠS ty",
+      "ĠSt y",
+      "_ arrow",
+      "_arr ow",
+      "_ar row",
+      "* self",
+      "*s elf",
+      "i rement",
+      "ir ement",
+      "ire ment",
+      "Ġde gli",
+      "Ġdeg li",
+      "App Delegate",
+      "_ banner",
+      "_b anner",
+      "Ġco ordinated",
+      "Ġcoordinate d",
+      "Ġcoord inated",
+      "Ġcoordin ated",
+      "ĠWeb cam",
+      "Ġcelebr ations",
+      "Ġcelebration s",
+      ". act",
+      ".a ct",
+      ".ac t",
+      "******** ****************************************",
+      "**************** ********************************",
+      "******************************** ****************",
+      "************************ ************************",
+      "******************** ****************************",
+      "**************************** ********************",
+      "**************************************** ********",
+      "( show",
+      "(s how",
+      "(sh ow",
+      "Ġ weekday",
+      "Ġweek day",
+      "Ġconc erts",
+      "Ġconce rts",
+      "Ġconcert s",
+      "ол н",
+      "c lin",
+      "cl in",
+      "cli n",
+      "Ġ cron",
+      "Ġc ron",
+      "Ġcr on",
+      "Ġcro n",
+      "ĠN im",
+      "ĠNi m",
+      ".set Vertical",
+      "ĠE llen",
+      "ĠEl len",
+      "ĠEll en",
+      "ĠElle n",
+      "Ø ³Øª",
+      "س ت",
+      "Ġ SAM",
+      "ĠS AM",
+      "ĠSA M",
+      "E ff",
+      "Ef f",
+      "g z",
+      "s team",
+      "st eam",
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+      "Ġant ique",
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+      "Ġantiqu e",
+      "ph ysical",
+      "phys ical",
+      "Ġ FormData",
+      "ĠForm Data",
+      ". setter",
+      ".s etter",
+      ".set ter",
+      "Ġ POINT",
+      "ĠPO INT",
+      "B on",
+      "Bo n",
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+      "Ġflav our",
+      "er vention",
+      "erv ention",
+      "_ ENTITY",
+      "_ENT ITY",
+      "ĉ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĉĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĉĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĉĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "Ġin trinsic",
+      "Ġintr insic",
+      "Ġ æİ",
+      "Ġæ İ",
+      "append To",
+      "ar amel",
+      "aram el",
+      "ara mel",
+      ") ])",
+      ")] )",
+      "Ġ Recommend",
+      "ĠRe commend",
+      "ĠRecomm end",
+      ") m",
+      "OutOf Range",
+      "Ġk night",
+      "Ġkn ight",
+      "Ġsat ellites",
+      "Ġsatellite s",
+      "ĠTit ans",
+      "ĠTitan s",
+      "Ġweigh ed",
+      "ĠD ana",
+      "ĠDan a",
+      "ĠDa na",
+      "e ase",
+      "ea se",
+      "Ġ sip",
+      "Ġs ip",
+      "Ġsi p",
+      "S IM",
+      "SI M",
+      "ĠDevelop ers",
+      "ĠDeveloper s",
+      "m alink",
+      "ma link",
+      "mal ink",
+      "/ check",
+      "/c heck",
+      "/ch eck",
+      "_ PLL",
+      "_P LL",
+      "_PL L",
+      "n ung",
+      "nu ng",
+      "nun g",
+      "Ġdr yer",
+      "Ġdry er",
+      "= A",
+      ". dw",
+      ".d w",
+      "_ SQL",
+      "_S QL",
+      "Ġ subplot",
+      "Ġsub plot",
+      "D ROP",
+      "DR OP",
+      "Ġprot otypes",
+      "Ġproto types",
+      "Ġprototype s",
+      "Ġhour ly",
+      "display Name",
+      "Ġ asi",
+      "Ġa si",
+      "Ġas i",
+      "ĠViol ence",
+      "Ġastr onaut",
+      "Ġ datatype",
+      "Ġd atatype",
+      "Ġdata type",
+      "Ġdat atype",
+      "Ġinformation al",
+      "Ġinform ational",
+      "Ġinformat ional",
+      "Ġinvestig ative",
+      "etermin ed",
+      "etermine d",
+      "r enal",
+      "re nal",
+      "ren al",
+      "rena l",
+      "; '>",
+      ";' >",
+      "ĉ col",
+      "ĉc ol",
+      "V G",
+      "_ boolean",
+      "_bool ean",
+      "_bo olean",
+      "re cent",
+      "rec ent",
+      "rece nt",
+      "Ġ *)ĊĊ",
+      "Ġ* )ĊĊ",
+      "Ġ*) ĊĊ",
+      "Ġ*)Ċ Ċ",
+      "ĠRain bow",
+      "om men",
+      "omm en",
+      "Ġl ur",
+      "Ġlu r",
+      "Ġop pression",
+      "Ġopp ression",
+      "Ġoppress ion",
+      "(\" ,\");Ċ",
+      "(\", \");Ċ",
+      "(\",\" );Ċ",
+      "ĠFac ility",
+      "DEF INED",
+      "DEFINE D",
+      "Ġn eon",
+      "Ġne on",
+      "Ġneo n",
+      "Ġoff ender",
+      "Ġoffend er",
+      "Ġoffen der",
+      "A FP",
+      "AF P",
+      "Ġ Cleaning",
+      "ĠC leaning",
+      "ĠClean ing",
+      "ĠCle aning",
+      "[ ]):",
+      "[] ):",
+      "[]) :",
+      "Ġund ocumented",
+      ". Repositories",
+      ".Re positories",
+      "ĠG uitar",
+      "ĠGu itar",
+      "ĠGui tar",
+      "аÑģÑģ ив",
+      "S kills",
+      "Sk ills",
+      "Skill s",
+      "Ġtest imon",
+      "Ġtestim on",
+      "rypt ography",
+      "ĠAm ber",
+      "ĠAmb er",
+      "ĠSt alin",
+      "ĠSta lin",
+      "Ġl one",
+      "Ġlo ne",
+      "Ġlon e",
+      "Ġap enas",
+      "Ġape nas",
+      "Ġdi eses",
+      "Ġdie ses",
+      "Ġdies es",
+      "Ġdiese s",
+      "Ġ Arduino",
+      "ĠAr duino",
+      "è½ ¬",
+      "= =-",
+      "== -",
+      "_ Act",
+      "_A ct",
+      "Ġ coded",
+      "Ġc oded",
+      "Ġco ded",
+      "Ġcode d",
+      "Ġcod ed",
+      "âĸ ł",
+      "am burger",
+      "amb urger",
+      "amburg er",
+      "- links",
+      "-l inks",
+      "-link s",
+      "Ġar mour",
+      "Ġarm our",
+      ". High",
+      ".H igh",
+      "get Content",
+      "getC ontent",
+      "s tag",
+      "st ag",
+      "sta g",
+      "Ġ heck",
+      "Ġh eck",
+      "Ġhe ck",
+      "Ġ ìĹĨ",
+      "ĠìĹ Ĩ",
+      "ĠMc Connell",
+      "ĠCon cert",
+      "ĠConc ert",
+      "ĠConce rt",
+      "Ġ Alloc",
+      "ĠAl loc",
+      "ĠAll oc",
+      "ä re",
+      "är e",
+      ". replaceAll",
+      ".replace All",
+      "Ġpart itions",
+      "Ġpartition s",
+      "r ott",
+      "ro tt",
+      "rot t",
+      "ĠF le",
+      "ĠFl e",
+      "_ TREE",
+      "_T REE",
+      "_TR EE",
+      "reason able",
+      "Ġ Reporting",
+      "ĠRep orting",
+      "ĠReport ing",
+      "Ġbillion aire",
+      "s cores",
+      "sc ores",
+      "score s",
+      "m ins",
+      "min s",
+      "mi ns",
+      "- eye",
+      "-e ye",
+      "M ORE",
+      "MO RE",
+      "ab ort",
+      "abor t",
+      "abo rt",
+      "ĠS WT",
+      "ĠSW T",
+      "Ġin verted",
+      "Ġinvert ed",
+      "Ġ Teachers",
+      "ĠTe achers",
+      "ĠTeacher s",
+      "ĠTea chers",
+      "ĠTeach ers",
+      "; n",
+      "Ġ astro",
+      "Ġa stro",
+      "Ġas tro",
+      "Ġast ro",
+      "Ġastr o",
+      "н ов",
+      "но в",
+      "а ниÑĨ",
+      "ан иÑĨ",
+      "ани ÑĨ",
+      "product o",
+      "c ountries",
+      "count ries",
+      "ĠO wen",
+      "ĠOw en",
+      "Ġcont amination",
+      "Ġcontamin ation",
+      "Ġconta mination",
+      "Ġv ibe",
+      "Ġvi be",
+      "Ġvib e",
+      "ĠE lli",
+      "ĠEl li",
+      "ĠEll i",
+      ". script",
+      ".s cript",
+      "ĠO live",
+      "ĠOl ive",
+      "ĠOliv e",
+      "D MA",
+      "DM A",
+      "v ier",
+      "vi er",
+      "vie r",
+      ": semicolon",
+      "- module",
+      "-m odule",
+      "-mod ule",
+      "g ressive",
+      "gress ive",
+      "a gu",
+      "ag u",
+      "_ players",
+      "_p layers",
+      "_pl ayers",
+      "_player s",
+      "_play ers",
+      "Ġresult ados",
+      "Ġresultado s",
+      "start ed",
+      "star ted",
+      "scroll Top",
+      "= ====",
+      "== ===",
+      "==== =",
+      "=== ==",
+      "Ġweigh ing",
+      "Ġ[ [[",
+      "Ġ[[ [",
+      "z ahl",
+      "za hl",
+      "( NS",
+      "(N S",
+      "Ġ Assertion",
+      "ĠAssert ion",
+      "le ague",
+      "lea gue",
+      ".set TextColor",
+      ".setText Color",
+      "ĉ Message",
+      "ĉM essage",
+      "Ġm oms",
+      "Ġmom s",
+      "Ġmo ms",
+      "_ AF",
+      "_A F",
+      ". wh",
+      ".w h",
+      "A LS",
+      "AL S",
+      "Ġaut re",
+      "Ġau tre",
+      "] ĊĊĊĊ",
+      "]Ċ ĊĊĊ",
+      "]ĊĊ ĊĊ",
+      "]ĊĊĊ Ċ",
+      ". opacity",
+      ".op acity",
+      "ĠBudd hist",
+      "ĠBuddh ist",
+      "Ġde af",
+      "ĠOrgan isation",
+      "( Global",
+      "(G lobal",
+      "en sch",
+      "ens ch",
+      "Ġhead ache",
+      "ĠA lien",
+      "ĠAl ien",
+      "ĠAli en",
+      "_ inode",
+      "_in ode",
+      "_i node",
+      "ĠSt ark",
+      "ĠStar k",
+      "ĠSta rk",
+      "Ġ æī",
+      "Ġæ ī",
+      "-l nd",
+      "-ln d",
+      "o ref",
+      "or ef",
+      "ore f",
+      "_ feat",
+      "_f eat",
+      "_fe at",
+      "Ġpedest rian",
+      "Ġnom inal",
+      "Ġnomin al",
+      "Ġball oon",
+      "Ġbal loon",
+      "Ġballo on",
+      "Ġ sprites",
+      "Ġs prites",
+      "Ġsp rites",
+      "Ġspr ites",
+      "Ġsprite s",
+      "Prototype Of",
+      "ĠA post",
+      "ĠAp ost",
+      "Ġ FEATURE",
+      "ĠF EATURE",
+      "ĠFE ATURE",
+      "O H",
+      "Ġre cess",
+      "Ġr ecess",
+      "Ġrec ess",
+      "Ġrece ss",
+      "ĠD onna",
+      "ĠDon na",
+      "con sumer",
+      "cons umer",
+      "consum er",
+      "consume r",
+      "$ GLOBALS",
+      "ĠG IF",
+      "ĠGI F",
+      "- frame",
+      "-f rame",
+      "-fr ame",
+      "In icio",
+      "Ini cio",
+      "Ġpass ages",
+      "Ġpassage s",
+      "Date String",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
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+      "ĠR ud",
+      "ĠRu d",
+      "Ġex plor",
+      "Ġexp lor",
+      "Ġexpl or",
+      "Ġexplo r",
+      "ĠBou levard",
+      "C ash",
+      "Ca sh",
+      "Cas h",
+      "Ġprepar es",
+      "Ġprepare s",
+      "Ġprep ares",
+      "Ġ serialization",
+      "Ġs erialization",
+      "Ġserial ization",
+      "e water",
+      "ew ater",
+      "Ġ adc",
+      "Ġa dc",
+      "Ġad c",
+      ": ĊĊĊĊĊĊ",
+      ":Ċ ĊĊĊĊĊ",
+      ":ĊĊ ĊĊĊĊ",
+      ":ĊĊĊĊ ĊĊ",
+      ":ĊĊĊ ĊĊĊ",
+      "Re fer",
+      "Ref er",
+      "Ġsc anned",
+      "Ġscan ned",
+      "} }ĊĊ",
+      "}} ĊĊ",
+      "}}Ċ Ċ",
+      "ĠF ul",
+      "ĠFu l",
+      "Ġto uring",
+      "Ġtour ing",
+      "Ġtou ring",
+      "ãĥĥ ãĤ¯",
+      "> ((",
+      ">( (",
+      "s urvey",
+      "sur vey",
+      "Ġ íĺ",
+      "Ġí ĺ",
+      ".. .')Ċ",
+      "... ')Ċ",
+      "...' )Ċ",
+      "Ġ Divider",
+      "ĠDi vider",
+      "ĠDiv ider",
+      "ĠDivide r",
+      "o sl",
+      "os l",
+      "_ CANCEL",
+      "_C ANCEL",
+      "_CAN CEL",
+      "_ prepare",
+      "_pre pare",
+      "_prep are",
+      "s tin",
+      "st in",
+      "sti n",
+      "ĠHe ath",
+      "ĠHeat h",
+      ". PrimaryKey",
+      ".Primary Key",
+      "Ġ âĨIJ",
+      "ĠâĨ IJ",
+      "ĠLocal DateTime",
+      "ĠLocalDate Time",
+      "Ġco operative",
+      "Ġcooper ative",
+      "L earning",
+      "Le arning",
+      "Learn ing",
+      ". enqueue",
+      ".en queue",
+      "Ġ goog",
+      "Ġg oog",
+      "Ġgo og",
+      "Ġgoo g",
+      "Ġ Regression",
+      "ĠRe gression",
+      "ĠReg ression",
+      "i mates",
+      "im ates",
+      "imate s",
+      "ima tes",
+      "imat es",
+      "Ġvoy eur",
+      "Ġ Drink",
+      "ĠD rink",
+      "ĠDr ink",
+      "p lug",
+      "pl ug",
+      "Ġl ender",
+      "Ġle nder",
+      "Ġlen der",
+      "Ġlend er",
+      "m ana",
+      "man a",
+      "ma na",
+      "Ġperson nes",
+      "Ġpersonne s",
+      "Ġpersonn es",
+      "yp se",
+      "yps e",
+      "Ġ unlink",
+      "Ġun link",
+      "Ġunl ink",
+      "ĠRa vens",
+      "ĠRav ens",
+      "ĠRaven s",
+      "Ġh urd",
+      "Ġhur d",
+      "Ġhu rd",
+      "Ġperiod ically",
+      "Ġperiodic ally",
+      "AR GS",
+      "ARG S",
+      "Ġ GH",
+      "ĠG H",
+      "char acters",
+      "character s",
+      ".. .\"ĊĊ",
+      "... \"ĊĊ",
+      "...\" ĊĊ",
+      "...\"Ċ Ċ",
+      "- establish",
+      "Ġ dn",
+      "Ġd n",
+      "( condition",
+      "(con dition",
+      "(cond ition",
+      "Ġ Gravity",
+      "ĠGr avity",
+      "Ġes tas",
+      "Ġest as",
+      "Ġesta s",
+      "_ focus",
+      "_f ocus",
+      "C reature",
+      "Cre ature",
+      "Cr eature",
+      "Creat ure",
+      "( site",
+      "(s ite",
+      "(si te",
+      "Ġc arr",
+      "Ġcar r",
+      "Ġca rr",
+      "Ġ RL",
+      "ĠR L",
+      "Ġ RI",
+      "ĠR I",
+      "ĠM oto",
+      "ĠMo to",
+      "ĠMot o",
+      "A SF",
+      "AS F",
+      "Ġ Luckily",
+      "ĠLuck ily",
+      "ĉ Route",
+      "ĉR oute",
+      "Ġ entropy",
+      "Ġent ropy",
+      "Ġentr opy",
+      "( \",\"",
+      "(\" ,\"",
+      "(\", \"",
+      "C ollect",
+      "Col lect",
+      "Coll ect",
+      "( contact",
+      "(cont act",
+      "ĠFlor ence",
+      "ĠFlo rence",
+      "Ġpremium s",
+      "Ġpremi ums",
+      "Ġl ifecycle",
+      "Ġlife cycle",
+      "Ġlif ecycle",
+      "Ġb ans",
+      "Ġban s",
+      "Ġba ns",
+      "x ef",
+      "xe f",
+      "Web Kit",
+      "Ġ Floating",
+      "ĠF loating",
+      "ĠFloat ing",
+      "ĠFlo ating",
+      "Ġ cosa",
+      "Ġc osa",
+      "Ġco sa",
+      "Ġcos a",
+      "S pecific",
+      "Spec ific",
+      "ĠLo ans",
+      "ĠLoan s",
+      "b read",
+      "br ead",
+      "bre ad",
+      "Ġdes criptors",
+      "Ġdescriptor s",
+      "Ġ{ :.",
+      "Ġ{: .",
+      "TH READ",
+      "ĠT rent",
+      "ĠTr ent",
+      "ĠTre nt",
+      "Ġs cop",
+      "Ġsc op",
+      "Ġsco p",
+      "Q A",
+      "ĠAn tar",
+      "ĠAnt ar",
+      "p el",
+      "pe l",
+      "_ difference",
+      "_d ifference",
+      "_diff erence",
+      "_ changes",
+      "_ch anges",
+      "_change s",
+      "_chan ges",
+      "( ...)",
+      "(... )",
+      "(.. .)",
+      "Ġ Rotation",
+      "ĠR otation",
+      "ĠRot ation",
+      "ĠL GPL",
+      "ĠLG PL",
+      "Ġ JUST",
+      "ĠJ UST",
+      "( Task",
+      "(T ask",
+      "_ subset",
+      "_sub set",
+      "_subs et",
+      "Ġ TRANS",
+      "ĠTR ANS",
+      "ĠTRAN S",
+      "åĬ Ľ",
+      "ĠS cout",
+      "ĠSc out",
+      "ĠSco ut",
+      "- popup",
+      "-p opup",
+      "-pop up",
+      "Ġsm oked",
+      "Ġsmoke d",
+      "Ġsmo ked",
+      "_ Class",
+      "_C lass",
+      "_Cl ass",
+      "Ġturn over",
+      "Ġturno ver",
+      "br akk",
+      "bra kk",
+      "ĠRock y",
+      "ĠRo cky",
+      "ĠRoc ky",
+      "t as",
+      "ta s",
+      ".Regular Expressions",
+      "ĠElli ott",
+      "ĠElliot t",
+      "Ġ Spinner",
+      "ĠSp inner",
+      "ĠSpin ner",
+      "DUCT ION",
+      "DU CTION",
+      "Ġl ibre",
+      "Ġli bre",
+      "Ġlib re",
+      "Ġlibr e",
+      "Ġmol to",
+      "Ġmolt o",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "Ġ FTP",
+      "ĠF TP",
+      "ĠFT P",
+      "m peg",
+      "mp eg",
+      "( features",
+      "(f eatures",
+      "(feature s",
+      "(fe atures",
+      "Ġb ald",
+      "Ġbal d",
+      "Ġba ld",
+      "ĠV id",
+      "ĠVi d",
+      "Ġsh outing",
+      "Ġshout ing",
+      "Ġsho uting",
+      "L int",
+      "Li nt",
+      "Lin t",
+      "Ġ sockets",
+      "Ġs ockets",
+      "Ġsocket s",
+      "Ġsock ets",
+      "Ġp row",
+      "Ġpro w",
+      "Ġpr ow",
+      "Ġnou velle",
+      "Ġnouvel le",
+      "Ġnouve lle",
+      "is card",
+      "isc ard",
+      "ĠS ponsor",
+      "Ġ consulta",
+      "Ġcons ulta",
+      "Ġconsult a",
+      "Ġconsul ta",
+      ") ));",
+      ")) );",
+      "))) ;",
+      "Ind ian",
+      "India n",
+      "ĠR aspberry",
+      "Ġteam mate",
+      "Ġ JWT",
+      "ĠJ WT",
+      "ĠJW T",
+      "ĠG hana",
+      "ĠGh ana",
+      "Ġ cakes",
+      "Ġc akes",
+      "Ġca kes",
+      "Ġcake s",
+      "pr imer",
+      "prim er",
+      "prime r",
+      "pri mer",
+      "form a",
+      "for ma",
+      "erg arten",
+      "_ Manager",
+      "_M anager",
+      "_Man ager",
+      "Ġpre season",
+      "G AME",
+      "GA ME",
+      "| \"",
+      "ĠB rock",
+      "ĠBr ock",
+      "ĠBro ck",
+      "Ġocc upy",
+      "Ġoccup y",
+      "Ġdecor ations",
+      "Ġdecoration s",
+      "á nd",
+      "án d",
+      "Ġ cot",
+      "Ġc ot",
+      "Ġco t",
+      "Ġp aran",
+      "Ġpar an",
+      "Ġpara n",
+      "Ġpa ran",
+      "D isk",
+      "Dis k",
+      "Di sk",
+      "r emain",
+      "re main",
+      "rem ain",
+      "rema in",
+      "> ?",
+      "St rong",
+      "Str ong",
+      "Ġf rance",
+      "Ġfr ance",
+      "Ġfra nce",
+      "Ġfran ce",
+      "Ġfranc e",
+      "ĠE ra",
+      "ĠEr a",
+      "- cr",
+      "-c r",
+      ".Buffer edReader",
+      ".Buffered Reader",
+      "ĠParad ise",
+      "ĠV AT",
+      "ĠVA T",
+      "ĠAn ders",
+      "ĠAnd ers",
+      "Ġl imb",
+      "Ġli mb",
+      "Ġlim b",
+      "amp oo",
+      "ampo o",
+      "Ġimper ative",
+      "UT ILITY",
+      "UTIL ITY",
+      "Ġ Recognition",
+      "ĠRec ognition",
+      "ĠRecogn ition",
+      "Ġragaz ze",
+      "Ġp ops",
+      "Ġpop s",
+      "Ġpo ps",
+      "y press",
+      "yp ress",
+      "Ġemb argo",
+      "Ġembar go",
+      "// {Ċ",
+      "Ġs yll",
+      "Ġsy ll",
+      "P TR",
+      "PT R",
+      "åŃĺ åľ¨",
+      "Ġdid nt",
+      "Ġdidn t",
+      "M ailer",
+      "Mail er",
+      "Ma iler",
+      "Ġacad emics",
+      "Ġacademic s",
+      "ĠFr auen",
+      "ĠFra uen",
+      "ĠFrau en",
+      "ne ider",
+      "- rel",
+      "-r el",
+      "-re l",
+      "Ġrain bow",
+      "( In",
+      "(I n",
+      "Ġs liced",
+      "Ġsl iced",
+      "Ġslice d",
+      "Ġslic ed",
+      "= ============Ċ",
+      "== ===========Ċ",
+      "==== =========Ċ",
+      "======== =====Ċ",
+      "=== ==========Ċ",
+      "============ =Ċ",
+      "============= Ċ",
+      "=========== ==Ċ",
+      "========= ====Ċ",
+      "========== ===Ċ",
+      "====== =======Ċ",
+      "===== ========Ċ",
+      "======= ======Ċ",
+      "( send",
+      "(s end",
+      "(se nd",
+      "NSMutable Dictionary",
+      "v os",
+      "vo s",
+      "( package",
+      "(p ackage",
+      "(pack age",
+      "Ġord inance",
+      "Ġordin ance",
+      "view er",
+      "vie wer",
+      "ĠSan tos",
+      "ĠSant os",
+      "ĠSanto s",
+      "- selling",
+      "-s elling",
+      "Ġ gov",
+      "Ġg ov",
+      "Ġgo v",
+      "et tle",
+      "ett le",
+      "Ġfound ers",
+      "Ġfo unders",
+      "Ġfounder s",
+      "Ġw aking",
+      "Ġwa king",
+      "s lashes",
+      "sl ashes",
+      "slash es",
+      "-p ound",
+      "-po und",
+      "re cht",
+      "rec ht",
+      "rech t",
+      "ا ت",
+      "Ø§Ø ª",
+      ". onClick",
+      ".on Click",
+      "Ġn ord",
+      "Ġno rd",
+      "Ġnor d",
+      "st änd",
+      "_ when",
+      "_w hen",
+      "_wh en",
+      "U TERS",
+      "UT ERS",
+      "UTE RS",
+      "i cc",
+      "ic c",
+      "Ġcaps ule",
+      "ĠW id",
+      "ĠWi d",
+      "M arc",
+      "Mar c",
+      "Ma rc",
+      "ภ¸",
+      "r ored",
+      "ro red",
+      "ror ed",
+      "U GE",
+      "UG E",
+      "LO UD",
+      "Ġ Audit",
+      "ĠA udit",
+      "ĠAud it",
+      "ĠAu dit",
+      "ĠAudi t",
+      "ip ients",
+      "ipient s",
+      "ipi ents",
+      "op ian",
+      "opia n",
+      "opi an",
+      "ĠS ue",
+      "ĠSu e",
+      "Ġwur den",
+      "Ġwurde n",
+      ". Helpers",
+      ".H elpers",
+      ".Helper s",
+      ".Help ers",
+      "Ġf actions",
+      "Ġfact ions",
+      "Ġfa ctions",
+      "Ġfaction s",
+      "[ np",
+      "[n p",
+      "- than",
+      "-t han",
+      "-th an",
+      "Ġre co",
+      "Ġr eco",
+      "Ġrec o",
+      "Ġ kas",
+      "Ġk as",
+      "Ġka s",
+      "Ġ cmds",
+      "Ġcmd s",
+      "Ġcm ds",
+      "/ network",
+      "/n etwork",
+      "/net work",
+      "x bf",
+      "xb f",
+      "get Color",
+      "getC olor",
+      "Ġ biased",
+      "Ġbi ased",
+      "Ġbias ed",
+      "ĠL ak",
+      "ĠLa k",
+      "D atas",
+      "Data s",
+      "Da tas",
+      "Dat as",
+      "v ents",
+      "ve nts",
+      "vent s",
+      "ven ts",
+      "Ġ ë²",
+      "Ġë ²",
+      "_ PS",
+      "_P S",
+      ". Validate",
+      ".Valid ate",
+      "Inv oker",
+      "Invoke r",
+      "Ġne uen",
+      "Ġneu en",
+      "Ġneue n",
+      "Ġju venile",
+      "Ġjuven ile",
+      "V ISION",
+      "VI SION",
+      "VIS ION",
+      "Ġde vote",
+      "Ġdev ote",
+      "Ġ linha",
+      "Ġl inha",
+      "Ġlin ha",
+      "Ġlinh a",
+      "Ġdiscount ed",
+      "Ġdisco unted",
+      "\\ Config",
+      "Ġworth while",
+      "Ġskin ny",
+      "Ġ Courses",
+      "ĠC ourses",
+      "ĠCo urses",
+      "ĠCour ses",
+      "ĠCourse s",
+      "le ys",
+      "ley s",
+      "ĠMort gage",
+      "K evin",
+      "Ke vin",
+      "Ġann ounces",
+      "Ġannounc es",
+      "Ġannounce s",
+      "] )*",
+      "]) *",
+      "res ervation",
+      "Ġ æķ°",
+      "Ġæķ °",
+      "Ġprejud ice",
+      "ĠString Comparison",
+      "Ġbe ard",
+      "Ġbear d",
+      "- win",
+      "-w in",
+      "ĠS ão",
+      "ĉ ms",
+      "ĉm s",
+      "j al",
+      "ja l",
+      "Ġ Earn",
+      "ĠE arn",
+      "ĠEar n",
+      "ĠEa rn",
+      "_ ports",
+      "_p orts",
+      "_port s",
+      "_po rts",
+      "_por ts",
+      "Ġ Nombre",
+      "ĠN ombre",
+      "ĠNom bre",
+      "_ COR",
+      "_C OR",
+      "_CO R",
+      "Ġ BUILD",
+      "ĠB UILD",
+      "ĠBU ILD",
+      ". sound",
+      ".s ound",
+      ".so und",
+      "Y ellow",
+      "Ġlineback er",
+      "Ġchar itable",
+      "Ġcha ritable",
+      "j ug",
+      "ju g",
+      "_NON NULL",
+      "ĠD ental",
+      "ĠDen tal",
+      "ĠDent al",
+      "\" >${",
+      "\"> ${",
+      "\">$ {",
+      "ĉ match",
+      "ĉm atch",
+      "ĉmat ch",
+      "R ussian",
+      "Russia n",
+      "Russ ian",
+      "Rus sian",
+      "Ġver sch",
+      "Ġvers ch",
+      "Ġp inned",
+      "Ġpin ned",
+      "Ġadopt ing",
+      "Options Menu",
+      "P ag",
+      "Pa g",
+      "Ġpair ing",
+      "Ġpa iring",
+      "Ġpai ring",
+      "Ġt read",
+      "Ġtr ead",
+      "Ġtre ad",
+      "erc ises",
+      "ercise s",
+      "Ġ Spread",
+      "ĠS pread",
+      "ĠSp read",
+      "ĠSpr ead",
+      ") i",
+      "Ġ BAD",
+      "ĠB AD",
+      "ĠBA D",
+      "_ tf",
+      "_t f",
+      "UI ImageView",
+      "UIImage View",
+      "pop ulate",
+      "b ab",
+      "ba b",
+      "Ġ Ïĥ",
+      "ĠÏ ĥ",
+      "[ ++",
+      "Ġopi oid",
+      "Ġ ##Ċ",
+      "Ġ# #Ċ",
+      "Ġ## Ċ",
+      "d type",
+      "dt ype",
+      "ĠSt arts",
+      "ĠStart s",
+      "ĠStar ts",
+      "ĠSta rts",
+      "(' /')",
+      "('/ ')",
+      "Ġperson als",
+      "Ġpersonal s",
+      "Ġpersona ls",
+      "- market",
+      "-m arket",
+      "-mark et",
+      "-mar ket",
+      "Ġredund ant",
+      "ĠEss ential",
+      "Ġsc rapy",
+      "Ġscr apy",
+      "Ġscrap y",
+      "Ġ им",
+      "Ġи м",
+      "a cl",
+      "ac l",
+      "Ġ crear",
+      "Ġc rear",
+      "Ġcr ear",
+      "Ġcre ar",
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+      "ĉĉĉĉ ĠĠĠĠĠĠĠ",
+      "ĉĉĉ ĉĠĠĠĠĠĠĠ",
+      "ĉĉĉĉĠ ĠĠĠĠĠĠ",
+      "ĉĉĉĉĠĠĠ ĠĠĠĠ",
+      "ĉĉĉĉĠĠ ĠĠĠĠĠ",
+      "ĉĉĉĉĠĠĠĠ ĠĠĠ",
+      "ĉĉĉĉĠĠĠĠĠ ĠĠ",
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+      "ĉĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
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+      "_d elivery",
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+      "ĠBee n",
+      "ĠAdvent ures",
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+      ". ship",
+      ".s hip",
+      ".sh ip",
+      "App Component",
+      "Ġdest ined",
+      "Ġdestin ed",
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+      "Ġdwell ing",
+      "Pro filer",
+      "Profile r",
+      "Prof iler",
+      "Pre pare",
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+      "( has",
+      "(h as",
+      "Ġ# %",
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+      "VID EO",
+      "Ġcollabor ate",
+      "L in",
+      "Li n",
+      "Ġ scopes",
+      "Ġsc opes",
+      "Ġscope s",
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+      "Ġscop es",
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+      "(class Name",
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+      "Ġexhib ited",
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+      "_T CP",
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+      "_ CHO",
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+      "_CH O",
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+      "Ġv ä",
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+      "Ġsi to",
+      "Ġconstitu ents",
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+      "ĠContinue d",
+      "ĠContin ued",
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+      "Ġtaxa tion",
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+      "ÑģÑĤ ÑĢ",
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+      "Ġhon e",
+      "Ġho ne",
+      "Ġsecure ly",
+      "_ dropdown",
+      "_d ropdown",
+      "_drop down",
+      "Dis claimer",
+      "Ġ dzi",
+      "Ġd zi",
+      "Ġdz i",
+      "( timestamp",
+      "(t imestamp",
+      "(time stamp",
+      "' )]",
+      "') ]",
+      "Ġcult ivation",
+      "Ġcultiv ation",
+      ".. .ĊĊĊ",
+      "... ĊĊĊ",
+      "...ĊĊ Ċ",
+      "...Ċ ĊĊ",
+      "ĠTre aty",
+      "ĠTreat y",
+      "ĠD iss",
+      "ĠDis s",
+      "ĠDi ss",
+      "Ġconf licting",
+      "Ġconflic ting",
+      "Ġconflict ing",
+      ".get Selection",
+      ".getS election",
+      "Ġplay able",
+      "Ġplaya ble",
+      "ĠS ilk",
+      "ĠSil k",
+      "ĠSi lk",
+      "Ġ Equality",
+      "ĠE quality",
+      "ĠEqu ality",
+      "ĠEq uality",
+      "ĠEqual ity",
+      "Ġm oy",
+      "Ġmo y",
+      "Ġfl att",
+      "Ġflat t",
+      "Ġfla tt",
+      "Ġmot ives",
+      "Ġmotiv es",
+      "Ġmotive s",
+      "Per fect",
+      ". exist",
+      ".ex ist",
+      "Ġt weak",
+      "Ġtwe ak",
+      "Ġ omit",
+      "Ġo mit",
+      "Ġom it",
+      "ĠTw ilight",
+      "Ġk issing",
+      "Ġkiss ing",
+      "Ġchrist ian",
+      "( SE",
+      "(S E",
+      "_ define",
+      "_de fine",
+      "_def ine",
+      "ĠP eng",
+      "ĠPe ng",
+      "ĠPen g",
+      "S orted",
+      "Sort ed",
+      "' in",
+      "'i n",
+      "L ogs",
+      "Log s",
+      "Lo gs",
+      "á»ĩ n",
+      "Ġn ylon",
+      "Ġny lon",
+      "D ump",
+      "Du mp",
+      "Im agine",
+      "r ename",
+      "re name",
+      "ren ame",
+      "rena me",
+      "Ġbefore hand",
+      "py game",
+      "Ġb py",
+      "Ġbp y",
+      "ĠD j",
+      "Ġ titulo",
+      "Ġt itulo",
+      "Ġtit ulo",
+      "Ġtitul o",
+      "Ġn ltk",
+      "Ġnl tk",
+      "ĠSch midt",
+      "ĠC av",
+      "ĠCa v",
+      "( one",
+      "(o ne",
+      "(on e",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      ". getModel",
+      ".get Model",
+      ".getM odel",
+      "Ġ Pt",
+      "ĠP t",
+      "a toi",
+      "at oi",
+      "ato i",
+      ". locals",
+      ".local s",
+      ".loc als",
+      "burse ment",
+      "Pro vince",
+      "Prov ince",
+      "Ġ Approved",
+      "ĠAp proved",
+      "ĠAppro ved",
+      "( )<<",
+      "() <<",
+      "()< <",
+      "ó ria",
+      "ór ia",
+      "u sch",
+      "us ch",
+      "usc h",
+      "ĠJ enny",
+      "ĠJenn y",
+      "ĠJen ny",
+      "arr ants",
+      "arrant s",
+      "arra nts",
+      "ĠLib ert",
+      "ĠLi bert",
+      "ĠLiber t",
+      "L ord",
+      "Lo rd",
+      "Ġ Removed",
+      "ĠRe moved",
+      "ĠRem oved",
+      "ĠRemove d",
+      "_ codec",
+      "_code c",
+      "_co dec",
+      "_cod ec",
+      ". bundle",
+      ".b undle",
+      "ĠGonz alez",
+      "o pers",
+      "op ers",
+      "ope rs",
+      "oper s",
+      "Ŀå§ĭ åĮĸ",
+      "et ting",
+      "ett ing",
+      "etti ng",
+      "Ġgod dess",
+      "r ipe",
+      "ri pe",
+      "rip e",
+      "Ġmus cular",
+      "ĉ ĉĉĉĉĉĉĉĠ",
+      "ĉĉ ĉĉĉĉĉĉĠ",
+      "ĉĉĉĉ ĉĉĉĉĠ",
+      "ĉĉĉ ĉĉĉĉĉĠ",
+      "ĉĉĉĉĉ ĉĉĉĠ",
+      "ĉĉĉĉĉĉ ĉĉĠ",
+      "ĉĉĉĉĉĉĉĉ Ġ",
+      "ĉĉĉĉĉĉĉ ĉĠ",
+      "ĠH ugo",
+      "ĠHu go",
+      "Ġmej ores",
+      "Ġmejor es",
+      "l oid",
+      "lo id",
+      "loi d",
+      "rit eln",
+      "rite ln",
+      "ritel n",
+      "g is",
+      "gi s",
+      "ad don",
+      "add on",
+      "Ġ ((((",
+      "Ġ( (((",
+      "Ġ(( ((",
+      "Ġ((( (",
+      "app ointment",
+      "appoint ment",
+      "res erved",
+      "reserve d",
+      "ĉ friend",
+      "ĉf riend",
+      "_ avatar",
+      "_av atar",
+      "BO OLE",
+      "BOOL E",
+      "a hi",
+      "ah i",
+      "- END",
+      "-E ND",
+      "Ġ iff",
+      "Ġif f",
+      "Ġi ff",
+      "ó b",
+      "ĠBr uno",
+      "ĠBru no",
+      "ĠBrun o",
+      "rows able",
+      "ĠPo ison",
+      "( flags",
+      "(f lags",
+      "(flag s",
+      "(fl ags",
+      "urt les",
+      "urtle s",
+      "Ġ Anime",
+      "ĠAn ime",
+      "ĠAnim e",
+      "Ġm igrant",
+      "Ġmi grant",
+      "Ġmigr ant",
+      "Ġmig rant",
+      "ĉstr cat",
+      "( reply",
+      "(re ply",
+      "(rep ly",
+      "ĠRef uge",
+      "Ġ BW",
+      "ĠB W",
+      "e ful",
+      "ef ul",
+      "$ value",
+      "$v alue",
+      "$val ue",
+      "f ed",
+      "fe d",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "èµ Ħ",
+      "( cm",
+      "(c m",
+      "Ġvulner abilities",
+      "Ġ[ ('",
+      "Ġ[( '",
+      "Ġunbelie vable",
+      "str iction",
+      "strict ion",
+      "stri ction",
+      "enti eth",
+      "Ġpr aying",
+      "Ġpray ing",
+      "Ġpra ying",
+      "Cl aims",
+      "Claim s",
+      "Cla ims",
+      "Ġka ufen",
+      "n é",
+      "Ġpoison ing",
+      "Ġpois oning",
+      "c ollections",
+      "col lections",
+      "collection s",
+      "coll ections",
+      "collect ions",
+      "Ġinit State",
+      "Ġ Severity",
+      "ĠSe verity",
+      "ĠSever ity",
+      "Ġcont ention",
+      "Ġcontent ion",
+      "Ġconten tion",
+      "Ġ ĊĉĊ",
+      "ĠĊ ĉĊ",
+      ". controllers",
+      ".cont rollers",
+      ".controller s",
+      ".control lers",
+      "struct ured",
+      "structure d",
+      "ic tim",
+      "ict im",
+      "ĠO ber",
+      "ĠOb er",
+      "Ġ/* #__",
+      "_ OT",
+      "_O T",
+      "ĠAmeric as",
+      "ĠAmerica s",
+      "ĠAmer icas",
+      "Ġ Ada",
+      "ĠA da",
+      "ĠAd a",
+      "Pro duto",
+      "Produ to",
+      "Prod uto",
+      ". multi",
+      ".m ulti",
+      ".mult i",
+      ".mul ti",
+      "Ġg rape",
+      "Ġgr ape",
+      "Ġgra pe",
+      "Ġgrap e",
+      "b eg",
+      "be g",
+      "æŁ¥ 询",
+      "Ġqu artz",
+      "Ġquar tz",
+      "Ġquart z",
+      "ĠRom ance",
+      "ĠRoman ce",
+      "ĠRoma nce",
+      "ĠMid west",
+      "Ġh oused",
+      "Ġhouse d",
+      "Ġhous ed",
+      "Ġho used",
+      "Ġfurn ish",
+      "Ġfur nish",
+      "i cont",
+      "ic ont",
+      "icon t",
+      "ico nt",
+      ".un shift",
+      "o tre",
+      "ot re",
+      "otr e",
+      "Ġ ún",
+      "Ġú n",
+      "ip ple",
+      "ipp le",
+      "Ġsub urb",
+      "Ġsubur b",
+      "u ali",
+      "ual i",
+      "ua li",
+      "V oice",
+      "Vo ice",
+      ".Is Any",
+      ", column",
+      ",c olumn",
+      ",col umn",
+      "Ġ Prosec",
+      "ĠPro sec",
+      "ĠPros ec",
+      "I DA",
+      "ID A",
+      "ĉ post",
+      "ĉp ost",
+      "ĉpos t",
+      "pt oms",
+      "pto ms",
+      "ptom s",
+      "v é",
+      "Ġ Ingredients",
+      "ĠIng redients",
+      "ĠIngredient s",
+      "ö ff",
+      ". operator",
+      ".op erator",
+      ".o perator",
+      ".oper ator",
+      "Ġ< <=",
+      "Ġ<< =",
+      "l astic",
+      "last ic",
+      "las tic",
+      "Ġre semble",
+      "Ġres emble",
+      "Ġresembl e",
+      "Un authorized",
+      "Ġt utto",
+      "Ġtut to",
+      "_SW ITCH",
+      "_ READY",
+      "_READ Y",
+      "} =",
+      "now ledge",
+      "nowled ge",
+      "Ġapp ended",
+      "Ġappend ed",
+      "un gan",
+      "ung an",
+      "unga n",
+      "âĢĻ en",
+      "âĢĻe n",
+      "ĠL oren",
+      "ĠLo ren",
+      "ĠLore n",
+      "ĠLor en",
+      "p ublisher",
+      "publish er",
+      "Ġ MG",
+      "ĠM G",
+      "} ,\"",
+      "}, \"",
+      "ĠWal sh",
+      "T emplates",
+      "Template s",
+      "Temp lates",
+      "Tem plates",
+      "_ social",
+      "_s ocial",
+      "_so cial",
+      "_soc ial",
+      "Ġpar ish",
+      "Ġpa rish",
+      "Ġparis h",
+      "Ġpari sh",
+      "Ġ Spl",
+      "ĠS pl",
+      "ĠSp l",
+      "m inated",
+      "min ated",
+      "minate d",
+      "mina ted",
+      "( FALSE",
+      "(F ALSE",
+      "Ġfore front",
+      "mod ity",
+      "Ġb ilateral",
+      "Ġbil ateral",
+      "Ġcompet it",
+      "Ġc andles",
+      "Ġcandle s",
+      "Ġcand les",
+      ". dp",
+      ".d p",
+      "Ġcoll ects",
+      "Ġcollect s",
+      "Ġcolle cts",
+      "tele fono",
+      "Ġat tent",
+      "Ġatt ent",
+      "Ġatte nt",
+      "ĠL emon",
+      "ĠLe mon",
+      "ĠLem on",
+      "iz ada",
+      "iza da",
+      "Ġtherap ies",
+      "Ġpar adox",
+      "Ġparad ox",
+      "Ġ tas",
+      "Ġt as",
+      "Ġta s",
+      "- submit",
+      "-sub mit",
+      "e ker",
+      "ek er",
+      "INavigation Controller",
+      "Ġmet avar",
+      "Ġmeta var",
+      "Ġmetav ar",
+      "Ġs ewing",
+      "Ġse wing",
+      "Ġsew ing",
+      "ĠZ imbabwe",
+      "Ġlaw ful",
+      "Ġ lore",
+      "Ġl ore",
+      "Ġlo re",
+      "Ġlor e",
+      "Ġ Loads",
+      "ĠLo ads",
+      "ĠLoad s",
+      "ĠÑģ озд",
+      "ĠÑģо зд",
+      "ĠÑģоз д",
+      ". promise",
+      ".p romise",
+      ".pro mise",
+      ".prom ise",
+      "Ġ Faces",
+      "ĠF aces",
+      "ĠFac es",
+      "ĠFa ces",
+      "ĠFace s",
+      ". Platform",
+      ".Pl atform",
+      ". getLocation",
+      ".get Location",
+      "Ġtroub ling",
+      "Ġtrou bling",
+      "ĠvÃŃ deo",
+      "ĠvÃŃde o",
+      "ĠFe aturing",
+      "äº §",
+      "q ed",
+      "qe d",
+      "Ġon Bind",
+      "Ġtodd ler",
+      "C lo",
+      "Cl o",
+      "Div ision",
+      "Di vision",
+      "- gallery",
+      "-g allery",
+      "ĠG eld",
+      "ĠGe ld",
+      "ĠGel d",
+      "s pecific",
+      "spec ific",
+      "Field Name",
+      "_ excel",
+      "_ex cel",
+      "_exc el",
+      "\\ htdocs",
+      "Ġ DV",
+      "ĠD V",
+      "Ġ& :",
+      "Ġ twig",
+      "Ġt wig",
+      "Ġtw ig",
+      "Ġ Concern",
+      "ĠCon cern",
+      "ĠConc ern",
+      "ĠConce rn",
+      "Ġshot gun",
+      "Ġnick el",
+      "Ġnic kel",
+      "ĠLux ury",
+      "_KEY S",
+      ".n py",
+      "Å ¯",
+      "Ġfore head",
+      "Î ²",
+      "Ġend angered",
+      "Ġendanger ed",
+      "/ the",
+      "/t he",
+      "/th e",
+      "p ipeline",
+      "pipe line",
+      "pip eline",
+      "Å ±",
+      "n eo",
+      "ne o",
+      "Exp lore",
+      "Expl ore",
+      "Spec Warn",
+      "Ġinter change",
+      "( pi",
+      "(p i",
+      "b irthday",
+      "birth day",
+      "Data Row",
+      "ĠS PR",
+      "ĠSP R",
+      "Ġ oste",
+      "Ġo ste",
+      "Ġos te",
+      "Ġost e",
+      "Ġ\" ~",
+      "atis faction",
+      "atisf action",
+      "N H",
+      "or do",
+      "ord o",
+      "- focused",
+      "-f ocused",
+      "-focus ed",
+      "' A",
+      "ĸ ī",
+      ". best",
+      ".b est",
+      ".be st",
+      "Ġ Specification",
+      "ĠSpec ification",
+      "ĠSpecific ation",
+      "/ >.ĊĊ",
+      "/> .ĊĊ",
+      "/>.Ċ Ċ",
+      "/>. ĊĊ",
+      "o genesis",
+      "ogen esis",
+      "ogene sis",
+      "Ġ OPTIONS",
+      "ĠOPTION S",
+      "ĠOPT IONS",
+      "up tools",
+      "upt ools",
+      "Ġmilit ant",
+      "Ġmil itant",
+      "Ġmili tant",
+      "Ġex ited",
+      "Ġexit ed",
+      "i gar",
+      "ig ar",
+      "iga r",
+      "Ġ COMM",
+      "ĠCO MM",
+      "ĠCOM M",
+      "Ġ Disposable",
+      "ĠD isposable",
+      "ĠDis posable",
+      "ay cast",
+      "Ġrow span",
+      "Ġrows pan",
+      "Ġsyn thes",
+      "Ġsynth es",
+      "Ġsynt hes",
+      "Ġso ndern",
+      "Ġsond ern",
+      "Ġ <!--<",
+      "Ġ<!-- <",
+      "ĠE nde",
+      "ĠEn de",
+      "ĠEnd e",
+      ". variables",
+      ".variable s",
+      "Ġcon sequently",
+      "Ġconsequ ently",
+      "s dk",
+      "sd k",
+      "S upply",
+      "Sup ply",
+      "res ponsive",
+      "respons ive",
+      "Open ing",
+      "Op ening",
+      "p hot",
+      "ph ot",
+      "Ġ }\\",
+      "Ġ} \\",
+      "Ġbull shit",
+      "Ġbulls hit",
+      "Ġbe acon",
+      "_ sat",
+      "_s at",
+      "_sa t",
+      "Ġsn aps",
+      "Ġsnap s",
+      "Ġsna ps",
+      "Ġ GHz",
+      "ĠG Hz",
+      "ĠGH z",
+      "L ONG",
+      "LO NG",
+      "< pair",
+      "<p air",
+      "Ġ[ ĊĊ",
+      "Ġ[Ċ Ċ",
+      "ĠV erg",
+      "ĠVer g",
+      "ĠVe rg",
+      "Ġ Eine",
+      "ĠE ine",
+      "ĠEin e",
+      "/ posts",
+      "/post s",
+      "Ġa rab",
+      "Ġar ab",
+      "Ġara b",
+      "Ġ suma",
+      "Ġs uma",
+      "Ġsu ma",
+      "Ġsum a",
+      "ãĥ³ ãĥĪ",
+      "ãĥ³ãĥ Ī",
+      "Ġsc arc",
+      "Ġsca rc",
+      "Ġscar c",
+      "Ġo leh",
+      "Ġol eh",
+      "Ġole h",
+      "Ġ ???",
+      "Ġ? ??",
+      "Ġ?? ?",
+      "Ġ Offers",
+      "ĠOff ers",
+      "ĠOf fers",
+      "ĠOffer s",
+      "x ed",
+      "xe d",
+      "Ġfull Width",
+      "- actions",
+      "-a ctions",
+      "-action s",
+      "O uter",
+      "Out er",
+      "ĠEx po",
+      "ĠExp o",
+      "é rer",
+      "ér er",
+      ". He",
+      ".H e",
+      "D H",
+      "Ġ hil",
+      "Ġh il",
+      "Ġhi l",
+      "ĠMill enn",
+      "е нÑĮ",
+      "ен ÑĮ",
+      "I ce",
+      "_ gray",
+      "_g ray",
+      "_gr ay",
+      "Ġп олÑĥÑĩ",
+      "Ġпо лÑĥÑĩ",
+      "Ġпол ÑĥÑĩ",
+      "ĠполÑĥ Ñĩ",
+      "ĠP unk",
+      "ĠPu nk",
+      "ĠPun k",
+      "Ġtime val",
+      "Ġtim eval",
+      "Ġ isa",
+      "Ġis a",
+      "Ġi sa",
+      "ĠC Html",
+      "ĠCH tml",
+      ".Data PropertyName",
+      "Ġd iy",
+      "Ġdi y",
+      "t our",
+      "to ur",
+      "Ġj TextField",
+      "Ġj elly",
+      "Ġjel ly",
+      "Ġak ka",
+      "- era",
+      "-e ra",
+      "De precated",
+      "Dep recated",
+      "_IM PL",
+      "_IMP L",
+      "Ġ Months",
+      "ĠMon ths",
+      "ĠMont hs",
+      "ĠMonth s",
+      "_ ITER",
+      "_I TER",
+      "_IT ER",
+      "Ġ arte",
+      "Ġar te",
+      "Ġart e",
+      "Ġ Heading",
+      "ĠHe ading",
+      "ĠHead ing",
+      "ĠB oh",
+      "ĠBo h",
+      "Ġp rag",
+      "Ġpr ag",
+      "Ġpra g",
+      "Ġdown stream",
+      "Ġ BOARD",
+      "ĠBO ARD",
+      "_ keywords",
+      "_key words",
+      "_keyword s",
+      "ĠMetro Framework",
+      ") -(",
+      ")- (",
+      "< Event",
+      "<E vent",
+      "ấ t",
+      "Ġ Precision",
+      "ĠP recision",
+      "ĠPre cision",
+      "ĠPrec ision",
+      "Ġ MRI",
+      "ĠM RI",
+      "ĠMR I",
+      "h erence",
+      "he rence",
+      "her ence",
+      "here nce",
+      "i xo",
+      "ix o",
+      ") )){Ċ",
+      ")) ){Ċ",
+      "))) {Ċ",
+      "() ?>",
+      "()? >",
+      "Ġs aat",
+      "Ġsa at",
+      "Ġ Warehouse",
+      "ĠW arehouse",
+      "ĠWare house",
+      "_ atomic",
+      "_at omic",
+      "_atom ic",
+      "Ġvo iced",
+      "Ġvoice d",
+      "Ġvoi ced",
+      "Item Click",
+      "Ġ ĠĠĠĠĠĉ",
+      "ĠĠ ĠĠĠĠĉ",
+      "ĠĠĠĠ ĠĠĉ",
+      "ĠĠĠ ĠĠĠĉ",
+      "ĠĠĠĠĠ Ġĉ",
+      "ĠĠĠĠĠĠ ĉ",
+      ". ResultSet",
+      ".Result Set",
+      "/ plugin",
+      "/pl ugin",
+      "Ġh alls",
+      "Ġhall s",
+      "Ġhal ls",
+      "= form",
+      "=f orm",
+      "ĠW agner",
+      "ĠWag ner",
+      "em ails",
+      "email s",
+      "ema ils",
+      "% %Ċ",
+      "%% Ċ",
+      "UN KNOWN",
+      "ĠR im",
+      "ĠRi m",
+      "u intptr",
+      "uint ptr",
+      "ĠLib erals",
+      "ĠLiberal s",
+      "ĠLiber als",
+      "Ġterritor ial",
+      "ĠMur der",
+      "ĠL aden",
+      "ĠLa den",
+      "ĠLad en",
+      "Ġpres idente",
+      "Ġpresident e",
+      "( cap",
+      "(c ap",
+      "(ca p",
+      "Ġ },{Ċ",
+      "Ġ} ,{Ċ",
+      "Ġ}, {Ċ",
+      "Ġ},{ Ċ",
+      "avour ite",
+      "avou rite",
+      "find All",
+      "Ġappl aud",
+      "Ġ ë©Ķ",
+      "Ġë© Ķ",
+      "/ photo",
+      "/ph oto",
+      "_ syn",
+      "_s yn",
+      "_sy n",
+      ". walk",
+      ".w alk",
+      "Ġsun shine",
+      "Ġstub born",
+      "Ġdown side",
+      "Ġdowns ide",
+      "Ġ LTE",
+      "ĠL TE",
+      "ĠLT E",
+      "- building",
+      "-build ing",
+      "Query Builder",
+      "_ disabled",
+      "_dis abled",
+      "_disable d",
+      "T err",
+      "Te rr",
+      "Ter r",
+      "ak ra",
+      "Refresh ing",
+      "_pro bs",
+      "_pr obs",
+      "_prob s",
+      "Ġf oll",
+      "Ġfol l",
+      "Ġfo ll",
+      "> b",
+      "Ġcoll ateral",
+      "$ error",
+      "Ġa compan",
+      "Ġacomp an",
+      "_ iv",
+      "_i v",
+      "+ d",
+      "a ju",
+      "aj u",
+      "Ġ âĿ",
+      "Ġâ Ŀ",
+      "s urname",
+      "sur name",
+      ". article",
+      ".art icle",
+      "Ġb icy",
+      "Ġbi cy",
+      "Ġbic y",
+      "\" :ĊĊ",
+      "\": ĊĊ",
+      "\":Ċ Ċ",
+      "> <?=$",
+      "><? =$",
+      "><?= $",
+      "к лÑİÑĩ",
+      "e come",
+      "ec ome",
+      "eco me",
+      "ecom e",
+      "F inding",
+      "Fin ding",
+      "Find ing",
+      "( pd",
+      "(p d",
+      "Ġrect angular",
+      "e sto",
+      "es to",
+      "est o",
+      "i hil",
+      "ih il",
+      "=' ')Ċ",
+      "='' )Ċ",
+      "='') Ċ",
+      "Ġm ansion",
+      "Ġmans ion",
+      "_ filtered",
+      "_filter ed",
+      "_fil tered",
+      "_filt ered",
+      "a ned",
+      "an ed",
+      "ane d",
+      "PRO DUCT",
+      "LO GY",
+      "LOG Y",
+      "_ ir",
+      "_i r",
+      ". Remote",
+      ".Rem ote",
+      "Ġexec utes",
+      "Ġexecute s",
+      "Ġexecut es",
+      "o technology",
+      "otechn ology",
+      "Ġ PROCESS",
+      "ĠPRO CESS",
+      "ĠPROC ESS",
+      "Ġrow Index",
+      "get X",
+      "M ut",
+      "Mu t",
+      "in sky",
+      "ins ky",
+      "insk y",
+      "( strings",
+      "(string s",
+      "(str ings",
+      "ĠM oz",
+      "ĠMo z",
+      "F loor",
+      "Fl oor",
+      "Flo or",
+      ". Struct",
+      ".Str uct",
+      "_ prediction",
+      "_pred iction",
+      "_predict ion",
+      "Ġcar riage",
+      "Ġcarr iage",
+      "Ġc ollectors",
+      "Ġcoll ectors",
+      "Ġcollect ors",
+      "Ġcolle ctors",
+      "Ġcollector s",
+      "ĠW heels",
+      "ĠWhe els",
+      "ĠWheel s",
+      "Ġbund led",
+      "Ġbundle d",
+      "a xed",
+      "ax ed",
+      "axe d",
+      "k ol",
+      "ko l",
+      "_ crop",
+      "_c rop",
+      "_cr op",
+      "Ġb loom",
+      "Ġbl oom",
+      "Ġblo om",
+      "Bes ides",
+      "Ġover ridden",
+      "Ġ subnet",
+      "Ġsub net",
+      "i enia",
+      "ie nia",
+      "ien ia",
+      "* >::",
+      "*> ::",
+      "Ġ Primitive",
+      "ĠPr imitive",
+      "ĠPrim itive",
+      "Ġ æł",
+      "Ġæ ł",
+      ". Character",
+      ".Char acter",
+      "表 示",
+      "ĠAD HD",
+      "RO Y",
+      "J apanese",
+      "Japan ese",
+      "O US",
+      "OU S",
+      ":UIControl Event",
+      "Ġ PAL",
+      "ĠP AL",
+      "ĠPA L",
+      "iz acion",
+      "iza cion",
+      "Ġ cherche",
+      "Ġcher che",
+      "or ting",
+      "ort ing",
+      "Ġor gas",
+      "Ġorg as",
+      ". Utc",
+      ".U tc",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "\\ Domain",
+      "\\D omain",
+      "O RA",
+      "OR A",
+      "Ġter race",
+      "Ġterr ace",
+      "Ġterra ce",
+      "Ġp ris",
+      "Ġpr is",
+      "Ġpri s",
+      "ĉ ĉĉĉĉĉĉĉĉĊ",
+      "ĉĉ ĉĉĉĉĉĉĉĊ",
+      "ĉĉĉĉ ĉĉĉĉĉĊ",
+      "ĉĉĉ ĉĉĉĉĉĉĊ",
+      "ĉĉĉĉĉ ĉĉĉĉĊ",
+      "ĉĉĉĉĉĉ ĉĉĉĊ",
+      "ĉĉĉĉĉĉĉĉ ĉĊ",
+      "ĉĉĉĉĉĉĉ ĉĉĊ",
+      "ĉĉĉĉĉĉĉĉĉ Ċ",
+      "Ġra ids",
+      "Ġraid s",
+      "_ increment",
+      "_in crement",
+      "_inc rement",
+      "Ġun just",
+      "$ options",
+      "$o ptions",
+      "on Change",
+      "B lood",
+      "Bl ood",
+      "Blo od",
+      "F ilm",
+      "Fi lm",
+      "Fil m",
+      "Ġh anding",
+      "Ġhand ing",
+      "Ġhan ding",
+      "Ġm ug",
+      "Ġmu g",
+      "S OLE",
+      "SO LE",
+      "ãĥ ķ",
+      "icon ductor",
+      "ĠIslam ist",
+      "Ġ\" \");čĊ",
+      "Ġ\"\" );čĊ",
+      "Ġ\"\") ;čĊ",
+      "Ġ\"\"); čĊ",
+      "- overlay",
+      "-over lay",
+      ", col",
+      ",c ol",
+      "é ľ",
+      "arr ings",
+      "arring s",
+      "_ contract",
+      "_con tract",
+      "_cont ract",
+      "_contr act",
+      "ĉ ll",
+      "ĉl l",
+      "p ip",
+      "pi p",
+      "_ embedding",
+      "_embed ding",
+      "Ġper mite",
+      "Ġpermit e",
+      "Ġperm ite",
+      "Ġm odem",
+      "Ġmod em",
+      "Ġmode m",
+      "Ġmo dem",
+      "Ġtrigger ing",
+      "( hwnd",
+      "(h wnd",
+      "(hw nd",
+      ". \")]Ċ",
+      ".\" )]Ċ",
+      ".\") ]Ċ",
+      "Ġs ant",
+      "Ġsa nt",
+      "Ġsan t",
+      "Ġext inction",
+      "Ġextinct ion",
+      "Ġc lashes",
+      "Ġcl ashes",
+      "Ġclash es",
+      "Ġclas hes",
+      ". Audio",
+      ".A udio",
+      "Ġs uo",
+      "Ġsu o",
+      ". mult",
+      ".m ult",
+      ".mu lt",
+      ".mul t",
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+      "Ġseas oned",
+      ". VarChar",
+      ".Var Char",
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+      "power ed",
+      "pow ered",
+      "\" context",
+      "Ġm enc",
+      "Ġme nc",
+      "Ġmen c",
+      "( Graphics",
+      "(G raphics",
+      "(Graph ics",
+      "$ where",
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+      "ac kle",
+      "Ġnew Data",
+      "Ġ Breaking",
+      "ĠBre aking",
+      "ĠBreak ing",
+      "er ged",
+      "erg ed",
+      "erge d",
+      "ĠCPP UNIT",
+      "ĠM ull",
+      "ĠMu ll",
+      "ĠMul l",
+      "Ġkom mt",
+      "Ġkomm t",
+      "ĠLe eds",
+      "ĠLee ds",
+      "', '=",
+      "',' =",
+      ".next Token",
+      "ĠR ig",
+      "ĠRi g",
+      "RE TURN",
+      "RET URN",
+      "ĉ timer",
+      "ĉt imer",
+      "ĉtime r",
+      "ĉti mer",
+      "} _{",
+      "}_ {",
+      "ĠMar ina",
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+      "Ġs logan",
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+      "Ġslo gan",
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+      "Ġhaz ards",
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+      "Ġcorp se",
+      "ĠFl owers",
+      "ĠFlo wers",
+      "ĠFlow ers",
+      "ĠFlower s",
+      "_ online",
+      "_on line",
+      "d al",
+      "da l",
+      "Ġ Collision",
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+      "Ãł ng",
+      "Ãłn g",
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+      "Ġfer ry",
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+      "Ġ poke",
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+      "Ġpo ke",
+      "Ġpok e",
+      "ĠTour ism",
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+      "ĠMi lf",
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+      ".\" /",
+      "Ġr ounding",
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+      "- placement",
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+      "Ġcer v",
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+      ".getB y",
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+      "ĠD ao",
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+      "_ PIPE",
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+      ". adv",
+      ".a dv",
+      ".ad v",
+      "ĠG utenberg",
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+      "pt a",
+      "Ġ EMP",
+      "ĠE MP",
+      "ĠEM P",
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+      ".First Name",
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+      "Ġrealiz es",
+      ". cg",
+      ".c g",
+      "Ġu nite",
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+      ">( );čĊčĊ",
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+      ">(); čĊčĊ",
+      "ĠS ims",
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+      "Ġ Dates",
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+      "({ ĊĊ",
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+      "еÑģÑĤв о",
+      "еÑģÑĤ во",
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+      "/ controllers",
+      "/controller s",
+      "/control lers",
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+      ".deep copy",
+      "F ULL",
+      "FUL L",
+      "FU LL",
+      "u ire",
+      "ui re",
+      "uir e",
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+      "à¹ī à¸Ń",
+      "Trans lator",
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+      "chemist ry",
+      "ĠJac obs",
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+      "Ġ( \"\\",
+      "Ġ(\" \\",
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+      "if ique",
+      "ifi que",
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+      "ig es",
+      "ige s",
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+      "Ġes table",
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+      "-di sc",
+      "( Char",
+      "(C har",
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+      "ko v",
+      "ex amples",
+      "example s",
+      "exam ples",
+      "_ _(\"",
+      "__ (\"",
+      "__( \"",
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+      "Ġка к",
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+      "ĠBo ris",
+      "ĠBor is",
+      "( dx",
+      "(d x",
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+      "sp r",
+      "Ġover haul",
+      "at oon",
+      "ato on",
+      "ĠHar ley",
+      "ic amente",
+      "ica mente",
+      "âĸĪâĸĪ âĸĪâĸĪ",
+      "ev ity",
+      "evi ty",
+      "u sher",
+      "us her",
+      "ush er",
+      ".Visual Studio",
+      "W ave",
+      "Wa ve",
+      "Ġ Normally",
+      "ĠNormal ly",
+      "ĠNorm ally",
+      "st ood",
+      "sto od",
+      "or nings",
+      "orn ings",
+      "orning s",
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+      "(log ging",
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+      "Ġcarc in",
+      "ac ja",
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+      "Ġsup ers",
+      "Ġsuper s",
+      "Ġsie ge",
+      "ĉ If",
+      "ĉI f",
+      "Ġ ILogger",
+      "ĠI Logger",
+      "U ART",
+      "UA RT",
+      "Animation Frame",
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+      "Ġta pes",
+      "Ġtap es",
+      "Ġtape s",
+      "Ġa ids",
+      "Ġaid s",
+      "Ġai ds",
+      "ĠColon el",
+      "ĠColo nel",
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+      "Ġ mdl",
+      "Ġm dl",
+      "Ġmd l",
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+      "ph on",
+      "Dis miss",
+      "A vailability",
+      "Av ailability",
+      "Uniform Location",
+      "Ġide als",
+      "Ġidea ls",
+      "Ġideal s",
+      "qu ette",
+      "que tte",
+      "quet te",
+      "ke iten",
+      "keit en",
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+      "ĠE MAIL",
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+      "Ġgeo metric",
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+      "[c olumn",
+      "[col umn",
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+      "ĠCT RL",
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+      "ĠH L",
+      "Ġd ah",
+      "Ġda h",
+      "Ġ( ;;",
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+      "ĠRoberts on",
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+      "Ġå ¼",
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+      "Ġwe il",
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+      "æ° ´",
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+      "\\x d",
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+      "-eye d",
+      "Ġ Creature",
+      "ĠC reature",
+      "ĠCr eature",
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+      "(S IG",
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+      "_SIGN AL",
+      "_SIG NAL",
+      "re interpret",
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+      "_ None",
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+      "_No ne",
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+      "ĠSea l",
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+      "Ġ) čĊčĊ",
+      "Ġ)čĊ čĊ",
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+      ".s ingleton",
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+      "ĉs leep",
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+      "get Config",
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+      "lu de",
+      "Ġ Meter",
+      "ĠM eter",
+      "ĠMe ter",
+      "ĠMet er",
+      "Ġbib lical",
+      "Ġbibli cal",
+      "marshal ler",
+      "marsh aller",
+      "marshall er",
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+      ".Tool kit",
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+      "ĠLesb ian",
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+      ".sm art",
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+      "Ġboyc ott",
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+      "Ġma cht",
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+      "_prev ious",
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+      "Ġbright er",
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+      "Ġcheck Box",
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+      "Ġbla h",
+      "ĠP relude",
+      "ĠPre lude",
+      "ĠPrel ude",
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+      "List ing",
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+      "ĠJ R",
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+      "ĠÐ Ĺ",
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+      "Ġ_ (",
+      "ĠDream s",
+      "ĠDre ams",
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+      "_G roup",
+      "( cor",
+      "(c or",
+      "(co r",
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+      "Lead er",
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+      "let ion",
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+      "ĠF inished",
+      "ĠFin ished",
+      "ĠFinish ed",
+      "ĠP ole",
+      "ĠPol e",
+      "ĠPo le",
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+      "Ġta pping",
+      "Ġtap ping",
+      "& (",
+      "Ġfl irt",
+      "Ġterr ified",
+      "Ġp ady",
+      "Ġpa dy",
+      "Ġpad y",
+      "e reg",
+      "er eg",
+      "ere g",
+      "el dom",
+      "eld om",
+      "eldo m",
+      "Ġstation ary",
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+      "Ġpo ny",
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+      "ÃŁe r",
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+      "f ive",
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+      "ĠReactive FormsModule",
+      "Ġ GLenum",
+      "ĠGL enum",
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+      "Da r",
+      "i face",
+      "if ace",
+      "ifa ce",
+      "- indent",
+      "-in dent",
+      "-ind ent",
+      "Form ula",
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+      ".s napshot",
+      ".snap shot",
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+      "Ġbel ts",
+      "Ġbelt s",
+      "ĉ cache",
+      "ĉc ache",
+      "l data",
+      "ld ata",
+      "lda ta",
+      "Ġ edad",
+      "Ġe dad",
+      "Ġed ad",
+      "Ġ BOX",
+      "ĠB OX",
+      "ĠBO X",
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+      "(c art",
+      "(car t",
+      "(ca rt",
+      "_L AYOUT",
+      "Ġf flush",
+      "Ġff lush",
+      "Ġ LOS",
+      "ĠL OS",
+      "ĠLO S",
+      "Ġ Sorted",
+      "ĠS orted",
+      "ĠSort ed",
+      "ĠSor ted",
+      ". slide",
+      ".s lide",
+      ".sl ide",
+      "Ġt ijd",
+      "Ġti jd",
+      "ĠTex ans",
+      "ĠP urch",
+      "ĠPur ch",
+      "ĠPu rch",
+      "Ġ Levels",
+      "ĠLevel s",
+      "ĠLev els",
+      "Ġsem antics",
+      "Ġsemantic s",
+      "ĠTeh ran",
+      "b mp",
+      "bm p",
+      ".url encoded",
+      "_ xlabel",
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+      "ĠBut tons",
+      "ĠButton s",
+      "ĠButt ons",
+      "Ġ Broker",
+      "ĠB roker",
+      "ĠBr oker",
+      "ĠBro ker",
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+      "$ email",
+      "Ù IJ",
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+      "Ġclassic s",
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+      "Ex ercise",
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+      "Ġihr en",
+      "Ġihre n",
+      "Ġro yalty",
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+      "Ġroy alty",
+      "s erializer",
+      "serial izer",
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+      "ieu x",
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+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
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+      "Ġcap italize",
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+      "Ġtun nels",
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+      "pir it",
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+      "ĠO D",
+      "Ġf uzzy",
+      "Ġfuzz y",
+      "Im mediate",
+      "l j",
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+      "Ġprolifer ation",
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+      "Ġor acle",
+      "Ġora cle",
+      "ĠC v",
+      "Ġn unca",
+      "Ġnun ca",
+      "PRINT F",
+      "Ġbreak point",
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+      ".E N",
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+      "wr ight",
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+      "fe st",
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+      "Ġplu ng",
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+      "Ġunn amed",
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+      "Ap pending",
+      "Append ing",
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+      "ĠCa y",
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+      "Le gal",
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+      "Ġindic ations",
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+      "Touch UpInside",
+      "Ġinval uable",
+      "Ġ MASK",
+      "ĠM ASK",
+      "ĠMA SK",
+      "ĠMAS K",
+      "Ġcont end",
+      "Ġconten d",
+      "Ġconte nd",
+      "F req",
+      "Fr eq",
+      "Fre q",
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+      "_C allback",
+      "_Call back",
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+      "Ġanal ogy",
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+      "ĠTr ophy",
+      "ĠTro phy",
+      "app hire",
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+      "ĠC her",
+      "ĠCh er",
+      "ĠChe r",
+      "ĠH av",
+      "ĠHa v",
+      "âĢ¦ \"",
+      ". validator",
+      ".valid ator",
+      "g fx",
+      "gf x",
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+      "tr iangle",
+      "tri angle",
+      "Ġ Encoder",
+      "ĠE ncoder",
+      "ĠEn coder",
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+      ".sp y",
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+      "=s tatus",
+      "- safe",
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+      ": \",Ċ",
+      ":\" ,Ċ",
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+      "Ġ Including",
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+      "Ġ{ };čĊ",
+      "Ġ{} ;čĊ",
+      "Ġ{}; čĊ",
+      "* cos",
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+      "Ġendure d",
+      ".sul ake",
+      "Ġnurs ery",
+      "Ġnurse ry",
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+      "æµ ·",
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+      "Ġ 'ĊĊ",
+      "Ġ' ĊĊ",
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+      "Bet ter",
+      "ĠSQL ITE",
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+      "ĉd p",
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+      "Ġs tm",
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+      "Ġobs ess",
+      "Ġ Backend",
+      "ĠBack end",
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+      "ĉf ields",
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+      ".btn Cancel",
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+      "ĠMutable LiveData",
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+      "ĠH awk",
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+      "ĠHa wk",
+      ".setHorizontal Group",
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+      "Ġadul te",
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+      "Fa cade",
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+      "Ø °",
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+      "æīĢ æľī",
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+      "if en",
+      "ife n",
+      "ff set",
+      "B eyond",
+      "// }ĊĊ",
+      "//}Ċ Ċ",
+      "Ġw ager",
+      "Ġwa ger",
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+      "Ġwag er",
+      "Ġ bury",
+      "Ġb ury",
+      "Ġbu ry",
+      "Ġbur y",
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+      "Ġcomme nce",
+      "Ġcommenc e",
+      "reg istro",
+      "registr o",
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+      "s cient",
+      "sc ient",
+      "sci ent",
+      "Ġ Percent",
+      "ĠPer cent",
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+      "( identifier",
+      "(id entifier",
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+      ".set Model",
+      "Ġs eldom",
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+      "n ton",
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+      "a mus",
+      "am us",
+      "amu s",
+      "rys ler",
+      "Ġpan ties",
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+      "Ġmi mic",
+      "Ġmim ic",
+      "Ġon Changed",
+      "ĠonChange d",
+      "Ġal coholic",
+      "Ġalcohol ic",
+      ".reload Data",
+      "Ch arge",
+      "Char ge",
+      "Ġ Fax",
+      "ĠF ax",
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+      "_rat es",
+      "Ġ requestCode",
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+      "Ġ Keeping",
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+      "int ern",
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+      "inte rn",
+      "_DE SCRIPTOR",
+      "ĠConsult ant",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      "ĠA uch",
+      "ĠAu ch",
+      "Ġ erre",
+      "Ġerr e",
+      "Ġer re",
+      "ÅĽ li",
+      "ĠHor izon",
+      "c ola",
+      "co la",
+      "col a",
+      "Install ation",
+      "hot mail",
+      "C NN",
+      "CN N",
+      ".C ollectors",
+      "c hs",
+      "ch s",
+      "( trace",
+      "(t race",
+      "(tr ace",
+      "Ġ Encrypt",
+      "ĠEn crypt",
+      "ĠEnc rypt",
+      "Ġ ------",
+      "Ġ- -----",
+      "Ġ-- ----",
+      "Ġ---- --",
+      "Ġ--- ---",
+      "Ġ----- -",
+      "ĠBase Controller",
+      "Ġ agua",
+      "Ġa gua",
+      "Ġag ua",
+      "Ġre active",
+      "Ġreact ive",
+      "i dl",
+      "id l",
+      "Ġ classNames",
+      "Ġclass Names",
+      "ĠclassName s",
+      "ĉ Session",
+      "ĉS ession",
+      "ĠDod gers",
+      "ĠDodge rs",
+      "H ad",
+      "Ha d",
+      "_ lv",
+      "_l v",
+      "Is Valid",
+      "Ġ HELP",
+      "ĠHE LP",
+      "ĠHEL P",
+      "ut to",
+      "utt o",
+      "Ġ Verification",
+      "ĠVer ification",
+      "Ġget env",
+      "_ pa",
+      "_p a",
+      ". bmp",
+      ".b mp",
+      ": f",
+      "ĠLou ise",
+      "ĠLouis e",
+      "( ';",
+      "(' ;",
+      "/ socket",
+      "/s ocket",
+      "Gr anted",
+      "Grant ed",
+      "Gran ted",
+      ". calendar",
+      ".c alendar",
+      ".cal endar",
+      "( IP",
+      "(I P",
+      "Ġ PX",
+      "ĠP X",
+      ". Room",
+      ".R oom",
+      "Ġprogram m",
+      "en si",
+      "ens i",
+      "Ġtables poons",
+      "Ġtablesp oons",
+      "Ġtablespoon s",
+      "Ġl eve",
+      "Ġle ve",
+      "Ġlev e",
+      "Ġmost r",
+      "Ġmo str",
+      "Ġmos tr",
+      ". tipo",
+      ".t ipo",
+      ".tip o",
+      "/ an",
+      "/a n",
+      "( di",
+      "(d i",
+      "Ġb iod",
+      "Ġbi od",
+      "Ġbio d",
+      "Ġ dbContext",
+      "Ġdb Context",
+      "ĠJ SX",
+      "ĠJS X",
+      "ĉ results",
+      "ĉresult s",
+      "ĉres ults",
+      ". END",
+      ".E ND",
+      ".EN D",
+      "h te",
+      "ht e",
+      "l ify",
+      "li fy",
+      "lif y",
+      "P recision",
+      "Pre cision",
+      "Prec ision",
+      "èĬ Ĥ",
+      "AR SER",
+      "ARS ER",
+      "ARSE R",
+      ")did ReceiveMemoryWarning",
+      "at tempt",
+      "att empt",
+      "I SP",
+      "IS P",
+      "& a",
+      "_ POP",
+      "_P OP",
+      "_PO P",
+      "Ġ Tac",
+      "ĠT ac",
+      "ĠTa c",
+      "Ġpre paredStatement",
+      "Ġprepared Statement",
+      "Ġзап иÑģ",
+      "Ġза пиÑģ",
+      "Ġ owing",
+      "Ġo wing",
+      "Ġow ing",
+      ", start",
+      ",st art",
+      "Ġre viewer",
+      "Ġreview er",
+      "Ġ rst",
+      "Ġr st",
+      "Ġrs t",
+      "Ġ propTypes",
+      "Ġprop Types",
+      "Ġro cky",
+      "Ġrock y",
+      "Ġroc ky",
+      "_ locale",
+      "_l ocale",
+      "_lo cale",
+      "_loc ale",
+      "_local e",
+      "ĠStr ategies",
+      "ĠStrateg ies",
+      "ĠWe ber",
+      "ĠWeb er",
+      ". Cascade",
+      ".C ascade",
+      "_ equalTo",
+      "_equal To",
+      "Ġc osas",
+      "Ġcos as",
+      "Ġcosa s",
+      "Ġ Deletes",
+      "ĠDe letes",
+      "ĠDel etes",
+      "ĠDelete s",
+      "ĠMax im",
+      "Ġsh rimp",
+      "Ġshr imp",
+      "Ġshri mp",
+      "re trieve",
+      "ret rieve",
+      ". Include",
+      ".In clude",
+      "I GIN",
+      "IG IN",
+      "Ġ OE",
+      "ĠO E",
+      "] );čĊčĊ",
+      "]) ;čĊčĊ",
+      "]);čĊ čĊ",
+      "]); čĊčĊ",
+      ". enumer",
+      ".e numer",
+      ".en umer",
+      ".enum er",
+      "Ġ coef",
+      "Ġco ef",
+      "_ Null",
+      "_N ull",
+      "R a",
+      "t yard",
+      "ty ard",
+      "ĠSh awn",
+      "ĠSha wn",
+      "ĠShaw n",
+      "keep ers",
+      "keeper s",
+      "kee pers",
+      "Ġ qq",
+      "Ġq q",
+      "_ sb",
+      "_s b",
+      "o mens",
+      "om ens",
+      "ome ns",
+      "omen s",
+      "ĠExec utes",
+      "ĠExecute s",
+      "# \"",
+      "T TY",
+      "TT Y",
+      "Ġ ValueType",
+      "ĠValue Type",
+      ") ;*/Ċ",
+      "); */Ċ",
+      "Ġ Absolutely",
+      "ĠAbs olutely",
+      "ĠAbsolute ly",
+      "ĠT ottenham",
+      "/ art",
+      "/a rt",
+      "/ar t",
+      "Ġbless ings",
+      "Ġblessing s",
+      "Ġswift ly",
+      "b uster",
+      "bus ter",
+      "bu ster",
+      "Ġ avid",
+      "Ġa vid",
+      "Ġav id",
+      "Ġavi d",
+      "CO MM",
+      "COM M",
+      ", temp",
+      ",t emp",
+      "Ġ} ?>Ċ",
+      "-g rowing",
+      "-gr owing",
+      "-grow ing",
+      "Ġdeep copy",
+      "A ck",
+      "Ac k",
+      "eg gies",
+      "egg ies",
+      "Ġ __(\"",
+      "Ġ_ _(\"",
+      "Ġ__ (\"",
+      "Ġ__( \"",
+      "Ġn oir",
+      "Ġno ir",
+      "Ġnoi r",
+      "terror ism",
+      "Ġan them",
+      "Ġant hem",
+      "Ġanth em",
+      "a gency",
+      "ag ency",
+      "age ncy",
+      "agen cy",
+      "_ PACKAGE",
+      "_PACK AGE",
+      "Ġ Closure",
+      "ĠC losure",
+      "ĠClo sure",
+      ". registry",
+      ".reg istry",
+      "Ġmamm als",
+      "Ġmamma ls",
+      "< L",
+      "U ICollectionView",
+      "UI CollectionView",
+      "ĠLE Ds",
+      "ĠLED s",
+      "Ġv olley",
+      "Ġvol ley",
+      "Ġvoll ey",
+      "( Buffer",
+      "(B uffer",
+      "_N ATIVE",
+      "li bc",
+      "lib c",
+      "im plode",
+      "impl ode",
+      "Scroll Bar",
+      "ĠMar ion",
+      "ĠMario n",
+      "ĠMari on",
+      ". Contracts",
+      ".Con tracts",
+      ".Contract s",
+      "_ At",
+      "_A t",
+      "ĠWe instein",
+      "ĠWein stein",
+      "compare To",
+      "ĠH ose",
+      "ĠHo se",
+      "ĠHos e",
+      "en ity",
+      "eni ty",
+      ". createQuery",
+      ".create Query",
+      "_ router",
+      "_r outer",
+      "_ro uter",
+      "_route r",
+      "Ġstim uli",
+      "Ġ ++)",
+      "Ġ+ +)",
+      "Ġ++ )",
+      "ĠCh amp",
+      "ĠCha mp",
+      "ĠCham p",
+      "ĠBay ern",
+      "ĠBayer n",
+      "a ssa",
+      "as sa",
+      "ass a",
+      ". va",
+      ".v a",
+      "Ġdistrib utors",
+      "Ġdistributor s",
+      "Ġfile private",
+      "Ġdepart ed",
+      "c ccc",
+      "cc cc",
+      "ccc c",
+      "@ click",
+      "@c lick",
+      "ĠL unch",
+      "ĠLun ch",
+      "> L",
+      "Ġb luetooth",
+      "Ġbl uetooth",
+      ". Deep",
+      ".De ep",
+      "- standing",
+      "-st anding",
+      "á cil",
+      "ác il",
+      "áci l",
+      "Ġro oft",
+      "Ġroof t",
+      "Ġ Paths",
+      "ĠP aths",
+      "ĠPat hs",
+      "ĠPath s",
+      "ĠPa ths",
+      "_ iterations",
+      "_iter ations",
+      "_iteration s",
+      "Invalid ArgumentException",
+      ". spi",
+      ".s pi",
+      ".sp i",
+      "Ġ UIAlertAction",
+      "ĠUIAlert Action",
+      "u ye",
+      "uy e",
+      "sign in",
+      "sig nin",
+      ". priority",
+      ".p riority",
+      "ĠEs says",
+      "ĠEss ays",
+      "ĠEssay s",
+      "=' {$",
+      "='{ $",
+      "Ġ è¿ĶåĽŀ",
+      "Ġè¿ ĶåĽŀ",
+      "_ signed",
+      "_s igned",
+      "_sign ed",
+      "_sig ned",
+      ". persist",
+      ".p ersist",
+      "Ġre design",
+      "Ġred esign",
+      "Ġrede sign",
+      "Ġredes ign",
+      "To Lower",
+      "ĠNew man",
+      "= start",
+      "ĠIsrael is",
+      "ĠIsraeli s",
+      "as iswa",
+      "asis wa",
+      "S peech",
+      "Spe ech",
+      "Ġnum eros",
+      "Ġnumer os",
+      "Ġnumero s",
+      "handle rs",
+      "hand lers",
+      "handler s",
+      "ĠW ong",
+      "ĠWo ng",
+      "ĠWon g",
+      "Ġм еÑĤод",
+      "ĠмеÑĤ од",
+      "We ights",
+      "Weight s",
+      "ĠGu jar",
+      "t eil",
+      "te il",
+      "ĠNone theless",
+      "ĠNon etheless",
+      "_E FFECT",
+      "Ġ vect",
+      "Ġv ect",
+      "Ġve ct",
+      "Ġvec t",
+      "ĠO sc",
+      "ĠOs c",
+      "Ġco ats",
+      "Ġcoat s",
+      "ĠW heat",
+      "ĠWh eat",
+      "ĠWhe at",
+      "Ġge ek",
+      "Ġgee k",
+      "Ġ PROPERTY",
+      "ĠP ROPERTY",
+      "ĠPRO PERTY",
+      "w orm",
+      "wo rm",
+      "wor m",
+      "_ constants",
+      "_con stants",
+      "_const ants",
+      "_constant s",
+      "ĠB oulder",
+      "ĠBou lder",
+      "Ġ Parm",
+      "ĠP arm",
+      "ĠPar m",
+      "ĠPa rm",
+      "c ole",
+      "co le",
+      "col e",
+      "Ġdefault Center",
+      "ĠRo uge",
+      "ĠRou ge",
+      ": A",
+      "x cf",
+      "xc f",
+      "ĠVen ice",
+      "ĠVe nice",
+      "m edian",
+      "med ian",
+      "medi an",
+      "media n",
+      "Ġred emption",
+      "F resh",
+      "Fr esh",
+      "Fre sh",
+      "Ġco sm",
+      "Ġcos m",
+      "Ġ figur",
+      "Ġfig ur",
+      "Ġref urb",
+      "CO PE",
+      ". cd",
+      ".c d",
+      "Ġch ords",
+      "Ġchord s",
+      "Ġchor ds",
+      "ĠS gt",
+      "Å į",
+      "V PN",
+      "VP N",
+      "Ġ SEND",
+      "ĠS END",
+      "ĠSE ND",
+      "ĠSEN D",
+      "a inen",
+      "ain en",
+      "ai nen",
+      "aine n",
+      "_ accounts",
+      "_account s",
+      "_ac counts",
+      "Ġt enth",
+      "Ġte nth",
+      "Ġten th",
+      "Ġtent h",
+      "Ġdiss olved",
+      "Ġdissolve d",
+      "< App",
+      "<A pp",
+      "Ġ Coverage",
+      "ĠCo verage",
+      "ĠCover age",
+      "ĠCove rage",
+      "use State",
+      "é ro",
+      "ér o",
+      ". .<",
+      ".. <",
+      "Ġ 주",
+      "Ġì £¼",
+      "Ġì£ ¼",
+      "Ġdream ing",
+      "Ġdre aming",
+      "Ġ Forecast",
+      "ĠFor ecast",
+      "ĠFore cast",
+      ".C ursors",
+      ".Cursor s",
+      "Ġv isas",
+      "Ġvis as",
+      "Ġvisa s",
+      "/ script",
+      "/s cript",
+      "_ started",
+      "_start ed",
+      "_star ted",
+      "Ġg astr",
+      "Ġgas tr",
+      "Ġga str",
+      "Ġgast r",
+      "( PRO",
+      "(P RO",
+      "(PR O",
+      "] ;//",
+      "]; //",
+      ". Tile",
+      ".T ile",
+      "* sin",
+      "*s in",
+      "( Adapter",
+      "ĠS andra",
+      "ĠSan dra",
+      "ĠSand ra",
+      "_ SIG",
+      "_S IG",
+      "_SI G",
+      "ar dash",
+      "ard ash",
+      "arda sh",
+      "ĠO val",
+      "ĠOv al",
+      "Ġ descripcion",
+      "Ġdes cripcion",
+      "Ġdescri pcion",
+      "( sl",
+      "(s l",
+      "Ġ Descriptor",
+      "ĠDes criptor",
+      "Ġ` $",
+      "/ free",
+      "/f ree",
+      "/fr ee",
+      "Ġ Keywords",
+      "ĠKey words",
+      "ĠKeyword s",
+      "Ġt udo",
+      "Ġtu do",
+      "Ġtud o",
+      "ion ale",
+      "ional e",
+      "iona le",
+      "( found",
+      "(f ound",
+      ". xyz",
+      ".x yz",
+      ".xy z",
+      "ĠGeneration Type",
+      "_DISABLE D",
+      "( area",
+      "(a rea",
+      "(ar ea",
+      "Ġel ites",
+      "Ġelite s",
+      "Ġelit es",
+      "Ġh ombre",
+      "Ġhom bre",
+      "( messages",
+      "(m essages",
+      "(message s",
+      "ĠR ac",
+      "ĠRa c",
+      "Ġext ingu",
+      "Ġ Esta",
+      "ĠE sta",
+      "ĠEs ta",
+      "ĠEst a",
+      "o po",
+      "op o",
+      ". vel",
+      ".v el",
+      "mouse out",
+      "Ġcon volution",
+      "Ġconv olution",
+      "Ġ Handling",
+      "ĠHand ling",
+      "ĠHan dling",
+      "Ġceiling s",
+      "Ġceil ings",
+      "T ek",
+      "Te k",
+      "Ġ Areas",
+      "ĠA reas",
+      "ĠAre as",
+      "ĠArea s",
+      ".write row",
+      ".writer ow",
+      "< View",
+      "<V iew",
+      "ĠCor nell",
+      "ĠCorn ell",
+      "ĠCornel l",
+      "_ BIN",
+      "_B IN",
+      ". invalid",
+      ".in valid",
+      "'' 'čĊ",
+      "''' čĊ",
+      "ie ż",
+      "_ Position",
+      "_P osition",
+      "_Pos ition",
+      "Ġk idding",
+      "Ġkid ding",
+      "Ġkidd ing",
+      "P CODE",
+      "PC ODE",
+      "Ġw atcher",
+      "Ġwatch er",
+      "Ġwat cher",
+      "l ox",
+      "lo x",
+      "Ġ âĹ",
+      "Ġâ Ĺ",
+      "D ave",
+      "Da ve",
+      "_ allow",
+      "_all ow",
+      "_al low",
+      "Ġbi sexual",
+      "Ġbis exual",
+      "Ġ unordered",
+      "Ġun ordered",
+      "ĠSch we",
+      "ĠSchw e",
+      "_ segments",
+      "_se gments",
+      "_segment s",
+      "_seg ments",
+      "Ġt earing",
+      "Ġte aring",
+      "Ġtea ring",
+      "Ġtear ing",
+      "IN LINE",
+      "Ġun des",
+      "Ġund es",
+      "Ġunde s",
+      ". goods",
+      ".g oods",
+      ".go ods",
+      ".good s",
+      ". cam",
+      ".c am",
+      ".ca m",
+      "ĠL W",
+      "ĉ where",
+      "ĉw here",
+      "Cal culator",
+      "Calc ulator",
+      "Calcul ator",
+      "- threat",
+      "-th reat",
+      "- alert",
+      "-al ert",
+      "ĠSuz uki",
+      "Ġ IPA",
+      "ĠI PA",
+      "ĠIP A",
+      "Ġ Attachment",
+      "ĠAtt achment",
+      "ĠAttach ment",
+      "AC CESS",
+      "ACC ESS",
+      "( dtype",
+      "(d type",
+      "(dt ype",
+      "O pp",
+      "Op p",
+      "_ symbols",
+      "_s ymbols",
+      "_symbol s",
+      "Ġd anske",
+      "Ġdans ke",
+      "Ġdansk e",
+      "l age",
+      "la ge",
+      "lag e",
+      "or get",
+      "org et",
+      "orge t",
+      "re solution",
+      "res olution",
+      "е Ñĩ",
+      "ĠQ Color",
+      "ĠQC olor",
+      "ĠBar rett",
+      "ĠBarr ett",
+      "а ÑĨиÑı",
+      "аÑĨи Ñı",
+      "= \\'",
+      "=\\ '",
+      "Ġ NavController",
+      "ĠNav Controller",
+      "/ ref",
+      "/r ef",
+      "/re f",
+      "( country",
+      "(c ountry",
+      "(count ry",
+      "_ HDR",
+      "_H DR",
+      "Ġterse but",
+      "pet ition",
+      "Ġs uf",
+      "Ġsu f",
+      "c redits",
+      "cred its",
+      "credit s",
+      "๠Į",
+      "x m",
+      "ĠDav ies",
+      ". reddit",
+      ".re ddit",
+      ".red dit",
+      "Ġw oven",
+      "Ġwo ven",
+      "ĠO bl",
+      "ĠOb l",
+      "Ġ KM",
+      "ĠK M",
+      "Ġ Considering",
+      "ĠConsider ing",
+      "ens ored",
+      "ensor ed",
+      "enso red",
+      ". period",
+      ".p eriod",
+      ".per iod",
+      "Ġ ddl",
+      "Ġd dl",
+      "Ġdd l",
+      "$ wp",
+      "Ġextrem ist",
+      "; \\Ċ",
+      ";\\ Ċ",
+      "Ġ kim",
+      "Ġk im",
+      "Ġki m",
+      "a lers",
+      "al ers",
+      "ale rs",
+      "aler s",
+      "Ġsp anning",
+      "Ġspan ning",
+      "Ġco herent",
+      "Ġconse gu",
+      "Ġconseg u",
+      ".text Label",
+      ". general",
+      ".g eneral",
+      ".gen eral",
+      ".gener al",
+      "_ dashboard",
+      "_d ashboard",
+      "_dash board",
+      "л ение",
+      "лен ие",
+      "ле ние",
+      "k ick",
+      "ki ck",
+      "_ PID",
+      "_P ID",
+      "_PI D",
+      "Ġ Extensions",
+      "ĠExt ensions",
+      "ĠExtension s",
+      "reg exp",
+      "regex p",
+      "Ġ Clause",
+      "ĠCl ause",
+      "ĠCla use",
+      "ĠClaus e",
+      "_ mov",
+      "_m ov",
+      "_mo v",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "Ġ Reward",
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+      "ĠLy rics",
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+      "------------ Ċ",
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+      "ĠT Value",
+      "ĠTV alue",
+      "S aint",
+      "Sa int",
+      "@ include",
+      "Ġ PERSON",
+      "ĠPER SON",
+      ". sep",
+      ".s ep",
+      ".se p",
+      "Ġ LDAP",
+      "ĠLD AP",
+      "g ba",
+      "gb a",
+      "Ġgro ÃŁe",
+      "ĠgroÃŁ e",
+      "Ġreli ably",
+      "Ġ DFS",
+      "ĠD FS",
+      "ĠDF S",
+      ".get ItemId",
+      ".getItem Id",
+      "Ġpré sent",
+      "Ġprés ent",
+      ". getToken",
+      ".get Token",
+      "Ġch inese",
+      "Ġchin ese",
+      "Ġ Meal",
+      "ĠMe al",
+      "Y OU",
+      "YO U",
+      "\" ><?=$",
+      "\"> <?=$",
+      "\"><? =$",
+      "\"><?= $",
+      "( choice",
+      "(ch oice",
+      "Ġphenomen al",
+      "Ġphenomena l",
+      "ĠSte ele",
+      "ĠSteel e",
+      "Â ¢",
+      "Ġ PackageManager",
+      "ĠPackage Manager",
+      "ĠSynd rome",
+      "Direct ories",
+      "Director ies",
+      "i var",
+      "iv ar",
+      "iva r",
+      ". unsubscribe",
+      ".un subscribe",
+      "lie ÃŁ",
+      "m ono",
+      "mon o",
+      "mo no",
+      "_ connections",
+      "_connect ions",
+      "_connection s",
+      "_conn ections",
+      "_ presence",
+      "_pres ence",
+      "y ny",
+      "yn y",
+      "Kn ife",
+      "Ġgro ove",
+      "Ġs coop",
+      "Ġsc oop",
+      "Ġsco op",
+      "T EMPL",
+      "TEM PL",
+      "TEMP L",
+      "as aki",
+      "asa ki",
+      ".ham crest",
+      "Ġhar bor",
+      "Ġharb or",
+      "c ov",
+      "co v",
+      "* z",
+      "ĠX u",
+      "Ġpro posing",
+      "Ġprop osing",
+      "Ġpropos ing",
+      "Ġ FRAME",
+      "ĠFR AME",
+      "ĠFRA ME",
+      "C hip",
+      "Ch ip",
+      "Chi p",
+      "ĠE en",
+      "Ġ ìłĦ",
+      "Ġìł Ħ",
+      "Ġsm ashed",
+      "Ġsmash ed",
+      "Un signed",
+      "( ..",
+      "(. .",
+      "_ finished",
+      "_f inished",
+      "_fin ished",
+      "_finish ed",
+      "Ġ getStatus",
+      "Ġget Status",
+      "ĠgetS tatus",
+      "Ġf ibre",
+      "Ġfi bre",
+      "Ġfib re",
+      "Ġfibr e",
+      "A xes",
+      "Ax es",
+      "Ġ' /',",
+      "Ġ'/ ',",
+      "Ġ'/' ,",
+      "y ards",
+      "yard s",
+      "yar ds",
+      "M DB",
+      "MD B",
+      "- bs",
+      "-b s",
+      "in tent",
+      "int ent",
+      "inte nt",
+      "Ġbo oster",
+      "Ġboost er",
+      "Ġboo ster",
+      ". dst",
+      ".d st",
+      ".ds t",
+      ".Dialog Result",
+      "ĠM ets",
+      "ĠMe ts",
+      "ĠMet s",
+      "Ġbe asts",
+      "Ġbeast s",
+      "increment s",
+      "incre ments",
+      "incr ements",
+      ".k afka",
+      "UIAlert Action",
+      "- ever",
+      "-e ver",
+      "-ev er",
+      "_ bal",
+      "_b al",
+      "Ġh elt",
+      "Ġhe lt",
+      "Ġhel t",
+      "Ġf reopen",
+      "Ġfre open",
+      "ĠRec ruitment",
+      "l icts",
+      "lic ts",
+      "li cts",
+      "lict s",
+      "forget table",
+      "Dis played",
+      "Display ed",
+      "_V ENDOR",
+      "Col lege",
+      "A SCII",
+      "ASC II",
+      "Ġ Sink",
+      "ĠS ink",
+      "ĠSi nk",
+      "ĠSin k",
+      "ĠM aced",
+      "ĠMac ed",
+      "ĠMa ced",
+      "Ġ ctor",
+      "Ġc tor",
+      "Ġct or",
+      "Ġest ão",
+      "ĠWinds or",
+      "_ checked",
+      "_check ed",
+      "_ detect",
+      "_d etect",
+      "_det ect",
+      "att end",
+      "atten d",
+      "atte nd",
+      "Ġ xmin",
+      "Ġx min",
+      "Ġxm in",
+      "Ġind ispens",
+      "/ person",
+      "/p erson",
+      "/per son",
+      "_DETAIL S",
+      "_DET AILS",
+      "R EDIT",
+      "RED IT",
+      "H ay",
+      "Ha y",
+      "ab olic",
+      "abo lic",
+      "abol ic",
+      "Ġfunc tools",
+      "Ġfunct ools",
+      "i ais",
+      "ia is",
+      "F TP",
+      "FT P",
+      "_ Rect",
+      "_R ect",
+      "_Re ct",
+      "ĠIn dy",
+      "ĠInd y",
+      "- public",
+      "-p ublic",
+      "o han",
+      "oh an",
+      "oha n",
+      "_ manage",
+      "_man age",
+      "_ma nage",
+      "Com puted",
+      "Comp uted",
+      "Compute d",
+      "Comput ed",
+      "ìĹIJ ìĦľ",
+      "Ġ Slice",
+      "ĠS lice",
+      "ĠSl ice",
+      "Ġg ays",
+      "Ġgay s",
+      "Ġga ys",
+      "Ġ alex",
+      "Ġa lex",
+      "Ġal ex",
+      "Ġale x",
+      "a its",
+      "ait s",
+      "ai ts",
+      "Ġreceipt s",
+      "S PEC",
+      "SP EC",
+      "ĠBE FORE",
+      "Ġ Prefix",
+      "ĠP refix",
+      "ĠPre fix",
+      "ĠPref ix",
+      "_ visit",
+      "_vis it",
+      "_vi sit",
+      "Ġs pun",
+      "Ġsp un",
+      "LE TED",
+      "LETE D",
+      "LET ED",
+      "Ġd ow",
+      "Ġdo w",
+      "Ġlegal ization",
+      "ab bage",
+      "abb age",
+      "Ġc law",
+      "Ġcl aw",
+      "Ġcla w",
+      "ĠT cl",
+      "x ima",
+      "xi ma",
+      "Ġco vert",
+      "Ġcover t",
+      "Ġcov ert",
+      "N i",
+      "Ġth anked",
+      "Ġthan ked",
+      "Ġthank ed",
+      "Ġall ergic",
+      "Ġallerg ic",
+      "l over",
+      "lo ver",
+      "love r",
+      "lov er",
+      "ĠBr east",
+      "ĠBre ast",
+      ". isActive",
+      ".is Active",
+      "Ġ geben",
+      "Ġge ben",
+      "Ġgeb en",
+      "VER SE",
+      "VERS E",
+      "Z ONE",
+      "ZO NE",
+      "ĉ Result",
+      "' ).'",
+      "') .'",
+      "'). '",
+      "Ġ gee",
+      "Ġg ee",
+      "Ġge e",
+      "Ġ Seriously",
+      "ĠSer iously",
+      "ĠSerious ly",
+      "p urple",
+      "pur ple",
+      "ĠEsp aña",
+      "ĠEspañ a",
+      "if ie",
+      "ifi e",
+      "- pack",
+      "-p ack",
+      "P articles",
+      "Part icles",
+      "Particle s",
+      "Ġ' /../",
+      "Ġ'/ ../",
+      "Ġmult imedia",
+      "Ġmulti media",
+      "Ġmultim edia",
+      "aut ocomplete",
+      "auto complete",
+      "Ġ THREAD",
+      "ĠTH READ",
+      "Ġrefer encing",
+      "ree tings",
+      "reet ings",
+      "reeting s",
+      "Ġqu oting",
+      "Ġquot ing",
+      "Ġquo ting",
+      "Ġassist ants",
+      "Ġassistant s",
+      "j enis",
+      "je nis",
+      "jen is",
+      "h appy",
+      "ha ppy",
+      "hap py",
+      "Ġ lays",
+      "Ġl ays",
+      "Ġla ys",
+      "Ġlay s",
+      "lib ft",
+      "x da",
+      "xd a",
+      "Ġf ou",
+      "Ġfo u",
+      "p iar",
+      "pi ar",
+      "Re commended",
+      "Recommend ed",
+      "ĠBird s",
+      "ĠBir ds",
+      "ĠW arranty",
+      "ür lich",
+      ".IN VISIBLE",
+      "_ anchor",
+      "_an chor",
+      "âĢĿ :",
+      "F ant",
+      "Fa nt",
+      "Fan t",
+      "_ defs",
+      "_d efs",
+      "_de fs",
+      "_def s",
+      "Ġdream ed",
+      "Ġdre amed",
+      "Ġ______ _,",
+      "Ġ_____ __,",
+      "p la",
+      "pl a",
+      "ä ft",
+      "od ka",
+      "ı s",
+      "Ġd addy",
+      "Ġda ddy",
+      "Ġdad dy",
+      "s chemas",
+      "schema s",
+      "sch emas",
+      "= zeros",
+      "=z eros",
+      "Ġr att",
+      "Ġrat t",
+      "Ġra tt",
+      "ĉ ĉĠĠĠĠĉ",
+      "ĉĉ ĠĠĠĠĉ",
+      "ĉĉĠĠĠ Ġĉ",
+      "ĉĉĠ ĠĠĠĉ",
+      "ĉĉĠĠ ĠĠĉ",
+      "ĉĉĠĠĠĠ ĉ",
+      "i ej",
+      "ie j",
+      "Ġdr ills",
+      "Ġdrill s",
+      "- <?",
+      "A BA",
+      "AB A",
+      ". links",
+      ".l inks",
+      ".link s",
+      ".lin ks",
+      "ĠDependency Property",
+      ". low",
+      ".l ow",
+      ".lo w",
+      "h eed",
+      "he ed",
+      "hee d",
+      "_ BLACK",
+      "_BL ACK",
+      "/ Admin",
+      "Ġam igos",
+      "Ġami gos",
+      "Ġamigo s",
+      "in ged",
+      "ing ed",
+      "inge d",
+      "ĠM ickey",
+      "ĠMic key",
+      "ĠMick ey",
+      ".Get Axis",
+      "Ġ Needed",
+      "ĠNe eded",
+      "ĠNeed ed",
+      "Ġ Encode",
+      "ĠEn code",
+      "ĠEnc ode",
+      "ér ieur",
+      "éri eur",
+      "érie ur",
+      "ĠMan ila",
+      "ĠMa nila",
+      "ĠCol leg",
+      "ĠColl eg",
+      "ad astro",
+      "ada stro",
+      "adas tro",
+      "Ġch icas",
+      "Ġchi cas",
+      "Ġchic as",
+      "Ġchica s",
+      "ä½ ł",
+      "Ġone self",
+      "Ġones elf",
+      "x ea",
+      "xe a",
+      "d uk",
+      "du k",
+      "Ġ gw",
+      "Ġg w",
+      "urg ical",
+      "ĠCent ro",
+      "Ġ aes",
+      "Ġa es",
+      "Ġae s",
+      "f eel",
+      "fe el",
+      "fee l",
+      "Ġt rot",
+      "Ġtr ot",
+      "Ġtro t",
+      "Ġelect rons",
+      "Ġelectron s",
+      "Ġelectro ns",
+      "Ġelectr ons",
+      "Ġritual s",
+      "ĠB ilder",
+      "ĠBi lder",
+      "ĠBil der",
+      "ĠBild er",
+      "Ġ decorate",
+      "Ġdec orate",
+      "Ġdecor ate",
+      "Ġdeco rate",
+      "Ġ TokenType",
+      "ĠToken Type",
+      "Ġl ure",
+      "Ġlu re",
+      "Ġlur e",
+      "Api Client",
+      "g rpc",
+      "gr pc",
+      "grp c",
+      "ĠO rc",
+      "ĠOr c",
+      "Context Menu",
+      "P REFIX",
+      "PRE FIX",
+      "-th emed",
+      "-the med",
+      "-theme d",
+      "_ fifo",
+      "_f ifo",
+      ".Input StreamReader",
+      ".InputStream Reader",
+      "_ specific",
+      "_s pecific",
+      "_spec ific",
+      "Ġ DSP",
+      "ĠD SP",
+      "ĠDS P",
+      "=sub process",
+      "/ she",
+      "/s he",
+      "/sh e",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
+      "Ġda unting",
+      "Ġcl ears",
+      "Ġclear s",
+      "Ġcle ars",
+      "Ġ Moves",
+      "ĠM oves",
+      "ĠMo ves",
+      "ĠMove s",
+      "ĠMov es",
+      "Ġmyst eries",
+      "Ġmyster ies",
+      "- best",
+      "-b est",
+      "-be st",
+      "Ġ Vu",
+      "ĠV u",
+      "o lib",
+      "ol ib",
+      "oli b",
+      "ĠI sh",
+      "ĠIs h",
+      "Ġcar act",
+      "Ġca ract",
+      "Ġcara ct",
+      "( Label",
+      "(L abel",
+      "ĠDe bian",
+      "ĠDeb ian",
+      "Ġ Experimental",
+      "ĠEx perimental",
+      "ĠExperiment al",
+      "Ġc av",
+      "Ġca v",
+      ".To Decimal",
+      "ĠRh odes",
+      "ĠRhode s",
+      "ĠH awks",
+      "ĠHaw ks",
+      "ĠHawk s",
+      "Ġf ountain",
+      "_P ENDING",
+      "_ SU",
+      "_S U",
+      "Ġwx String",
+      "ĠP ew",
+      "ĠPe w",
+      ". cli",
+      ".c li",
+      ".cl i",
+      "ÑĦ оÑĢм",
+      "ÑĦоÑĢ м",
+      ". webkit",
+      ".web kit",
+      "_ CN",
+      "_C N",
+      "Ġ;; =",
+      "ĉ namespace",
+      "ĉn amespace",
+      "ĉname space",
+      "ĉnames pace",
+      "Ġw Param",
+      "Ġp uppies",
+      "Ġpup pies",
+      "Ġtermin ology",
+      "Ġadd icted",
+      "Ġaddict ed",
+      "Ġ forge",
+      "Ġf orge",
+      "Ġfor ge",
+      "Ġforg e",
+      "ĠGard ner",
+      "Ġp essoa",
+      "Ġpesso a",
+      "ĉ ResultSet",
+      "ĉResult Set",
+      "Ġatt enu",
+      "Ġatte nu",
+      "an gement",
+      "ang ement",
+      "ange ment",
+      "_ inds",
+      "_in ds",
+      "_i nds",
+      "_ind s",
+      "C hi",
+      "Ch i",
+      "ar ith",
+      "ari th",
+      "Encoding Exception",
+      "m ousedown",
+      "mouse down",
+      "ĠBET WEEN",
+      "we igh",
+      "wei gh",
+      "\" For",
+      "\"F or",
+      ". dd",
+      ".d d",
+      "i tel",
+      "it el",
+      "ite l",
+      "Y O",
+      "Ġ Dice",
+      "ĠD ice",
+      "ĠDi ce",
+      "un ix",
+      "uni x",
+      "ĠO bt",
+      "ĠOb t",
+      "ĠC edar",
+      "ĠCe dar",
+      "ĠCed ar",
+      "Ġspec imens",
+      "Ġspecimen s",
+      "Ġspeci mens",
+      "p orn",
+      "por n",
+      "po rn",
+      "Ġun official",
+      "é» ij",
+      "s ometimes",
+      "some times",
+      "som etimes",
+      "ĠBul ld",
+      "ĠBull d",
+      "ĠBu lld",
+      "t rust",
+      "tr ust",
+      "tru st",
+      "get Result",
+      "Ġsm okers",
+      "Ġsmoke rs",
+      "Ġsmo kers",
+      "Ġsmoker s",
+      "Ġsandwich es",
+      "Ġex h",
+      "Ġ Fade",
+      "ĠF ade",
+      "ĠFa de",
+      "_ DC",
+      "_D C",
+      "Ġmast urbation",
+      "Ġmasturb ation",
+      "fort awesome",
+      "T HING",
+      "TH ING",
+      "_ android",
+      "_and roid",
+      "Ġd edic",
+      "Ġde dic",
+      "Ġded ic",
+      "Ġdedi c",
+      "-s ensitive",
+      "Ġna ckt",
+      "Ġnack t",
+      "LIB INT",
+      "Ġ agon",
+      "Ġa gon",
+      "Ġag on",
+      "Ġago n",
+      "Ġ DISABLE",
+      "ĠDIS ABLE",
+      "o nesia",
+      "ones ia",
+      "b ies",
+      "bi es",
+      "bie s",
+      "Ġ ZIP",
+      "ĠZ IP",
+      "Ġha unted",
+      "Ġhaunt ed",
+      "Ġc uid",
+      "Ġcu id",
+      "Ġcui d",
+      "/ cart",
+      "/c art",
+      "/car t",
+      "/ca rt",
+      "k os",
+      "ko s",
+      "ĉRT LU",
+      "Ġh inder",
+      "Ġhi nder",
+      "Ġhind er",
+      "Ġhin der",
+      "Ġadip isicing",
+      "I ENCE",
+      ". bank",
+      ".b ank",
+      ".ba nk",
+      "ĠCy prus",
+      "m ixed",
+      "mi xed",
+      "mix ed",
+      ". cy",
+      ".c y",
+      "- single",
+      "-s ingle",
+      "< len",
+      "<l en",
+      "C oming",
+      "Com ing",
+      "Co ming",
+      "Ġfa ults",
+      "Ġfault s",
+      "Ġfore see",
+      "Ġfores ee",
+      "get line",
+      "\" a",
+      "Ġb rag",
+      "Ġbr ag",
+      "Ġbra g",
+      "Ġdis cs",
+      "Ġdisc s",
+      "Ġ ripe",
+      "Ġr ipe",
+      "Ġrip e",
+      "Ġri pe",
+      "Ġn ær",
+      "Ġnæ r",
+      "Ġ GG",
+      "ĠG G",
+      "SH OT",
+      "der abad",
+      "dera bad",
+      "( edit",
+      "(e dit",
+      "(ed it",
+      "To Left",
+      "[ ]);Ċ",
+      "[] );Ċ",
+      "[]) ;Ċ",
+      "Ġdo Get",
+      "v ature",
+      "va ture",
+      "vat ure",
+      "Ne eded",
+      "Need ed",
+      "ĠCh eng",
+      "ĠChe ng",
+      "ĠChen g",
+      "c ci",
+      "cc i",
+      "E FI",
+      "EF I",
+      "Ġfe ud",
+      "Ġfeu d",
+      "Ġl unar",
+      "Ġlu nar",
+      "Ġlun ar",
+      ". Shape",
+      ".S hape",
+      ".Sh ape",
+      "N obody",
+      "No body",
+      "_TR IGGER",
+      "C y",
+      "ground Color",
+      "ĠRem oval",
+      "( bottom",
+      "(b ottom",
+      "(bot tom",
+      "$ msg",
+      "$m sg",
+      "SC II",
+      "SCI I",
+      "r itz",
+      "ri tz",
+      "rit z",
+      "Ġf rente",
+      "Ġfr ente",
+      "Ġfre nte",
+      "Ġfren te",
+      "Ġcom post",
+      "Ġcomp ost",
+      "Ġcompos t",
+      "answer ed",
+      "ĠRo dr",
+      "ĠRod r",
+      "_ HTML",
+      "_HT ML",
+      "Ġsil houette",
+      "Ġ QUEST",
+      "ĠQ UEST",
+      "ĠQU EST",
+      "ĠQUE ST",
+      "ĠCath edral",
+      ". Comment",
+      ".Com ment",
+      ".Comm ent",
+      "ĠM n",
+      "- network",
+      "-n etwork",
+      "-net work",
+      ". getFile",
+      ".get File",
+      ". generator",
+      ".g enerator",
+      ".gen erator",
+      ".gener ator",
+      "Ġ Checkout",
+      "ĠCheck out",
+      "_ zoom",
+      "_z oom",
+      "Ġ encodeURIComponent",
+      "Ġencode URIComponent",
+      "_ TC",
+      "_T C",
+      "s om",
+      "so m",
+      "ĠS erie",
+      "ĠSe rie",
+      "ĠSer ie",
+      "Ġbase URL",
+      "ĉ run",
+      "ĉr un",
+      "Ġh uh",
+      "Ġhu h",
+      ". selectedIndex",
+      ".selected Index",
+      "Ġ STAR",
+      "ĠST AR",
+      "ĠSTA R",
+      "~- ~-",
+      "abcdef gh",
+      ". mapping",
+      ".m apping",
+      ".map ping",
+      ".ma pping",
+      "= datetime",
+      "=d atetime",
+      "=date time",
+      "C ool",
+      "Co ol",
+      "n im",
+      "ni m",
+      "Ġ Directive",
+      "ĠDirect ive",
+      "ĠDir ective",
+      "F ederal",
+      "Fed eral",
+      "Ġ menuItem",
+      "Ġmenu Item",
+      "Ġ ÐIJ",
+      "ĠÐ IJ",
+      "An na",
+      "Ann a",
+      "ĠRe creation",
+      "ĠRec reation",
+      "r yan",
+      "ry an",
+      "- aged",
+      "-a ged",
+      "-ag ed",
+      "-age d",
+      "zer bai",
+      "âĢ¦ âĢĿĊĊ",
+      "âĢ¦âĢĿ ĊĊ",
+      "c ampo",
+      "cam po",
+      "camp o",
+      "Ġmini ature",
+      "de tach",
+      "det ach",
+      "me aning",
+      "mean ing",
+      "_ emp",
+      "_e mp",
+      "_em p",
+      "Pe ak",
+      "Ġ bcm",
+      "Ġb cm",
+      "Ġbc m",
+      "ĠHung arian",
+      "Ġ Cascade",
+      "ĠC ascade",
+      "ĠCas cade",
+      "ĠCasc ade",
+      "Ġs acks",
+      "Ġsa cks",
+      "Ġsac ks",
+      "Ġsack s",
+      "Ġ truncate",
+      "Ġtr uncate",
+      "Ġtrunc ate",
+      "Ġ âĸĪâĸĪ",
+      "ĠâĸĪ âĸĪ",
+      "Ġwh ales",
+      "Ġwhale s",
+      "Ġ sortable",
+      "Ġsort able",
+      "Ġsor table",
+      "Ġass erts",
+      "Ġassert s",
+      "Ġse als",
+      "Ġsea ls",
+      "Ġseal s",
+      "ocy tes",
+      "ocyte s",
+      "] )))Ċ",
+      "]) ))Ċ",
+      "])) )Ċ",
+      "]))) Ċ",
+      "al arm",
+      "ala rm",
+      "alar m",
+      "res sing",
+      "ress ing",
+      "( signal",
+      "(s ignal",
+      "(sign al",
+      "(sig nal",
+      "Ġem peror",
+      "ĉ ON",
+      "ĉO N",
+      "commit tee",
+      "Ġtr ilogy",
+      "Ġtri logy",
+      ". Transactional",
+      ".Transaction al",
+      "G row",
+      "Gr ow",
+      "Gro w",
+      "_ uart",
+      "_u art",
+      "Ġsw ings",
+      "Ġswing s",
+      "Ġspect acle",
+      "âĢĻ av",
+      "âĢĻa v",
+      "ĠSent inel",
+      "Ġ ÙĦ",
+      "ĠÙ Ħ",
+      "ĠT ou",
+      "ĠTo u",
+      "Ġwid ow",
+      "g erald",
+      "ger ald",
+      ", uint",
+      ",u int",
+      "Ġun usually",
+      "Ġunus ually",
+      "Ġunusual ly",
+      "< Card",
+      "<C ard",
+      "<Car d",
+      "Ġ Restart",
+      "ĠRe start",
+      "ĠRest art",
+      "m or",
+      "mo r",
+      "ãģĤ ãĤĬ",
+      "ixed Reality",
+      "Ġhand gun",
+      "âĶĢâĶĢâĶĢâĶĢ âĶĢâĶĢâĶĢâĶĢ",
+      "Ġlith ium",
+      "Re solve",
+      "Res olve",
+      "get Bytes",
+      "/ functions",
+      "/function s",
+      "Ġtack ling",
+      "Out lined",
+      "Outline d",
+      "Ġ }</",
+      "Ġ} </",
+      "ĠS exo",
+      "ĠSe xo",
+      "ĠSex o",
+      "ĠA nk",
+      "ĠAn k",
+      "Ġr ationale",
+      "Ġrat ionale",
+      "Ġrational e",
+      "Ġration ale",
+      "remove Attr",
+      "Ġmunicip ality",
+      "Ġmunicipal ity",
+      "Ġassault s",
+      "CHO OL",
+      "ĠR ee",
+      "ĠRe e",
+      "Ġb aud",
+      "Ġba ud",
+      "¦ ¬",
+      "Ġenh ances",
+      "Ġenhance s",
+      "Ġп ÑĢед",
+      "ĠпÑĢ ед",
+      "ĠпÑĢе д",
+      "Ġcon cess",
+      "Ġconc ess",
+      "Ġconce ss",
+      ". instagram",
+      ".in stagram",
+      ".inst agram",
+      ". getResponse",
+      ".get Response",
+      "se gments",
+      "seg ments",
+      "segment s",
+      "Ġwell being",
+      "} ;ĊĊĊĊ",
+      "};ĊĊ ĊĊ",
+      "};Ċ ĊĊĊ",
+      "}; ĊĊĊĊ",
+      "};ĊĊĊ Ċ",
+      "h ung",
+      "hu ng",
+      "ãĥ Ĩ",
+      "Ġrenov ated",
+      ". expected",
+      ".ex pected",
+      ".exp ected",
+      ".expect ed",
+      "Ġrad ial",
+      "Ġradi al",
+      "Ġcomm unal",
+      "Ġcommun al",
+      "user Manager",
+      "+ a",
+      "Ġfund amentals",
+      "Ġfundament als",
+      "Ġfundamental s",
+      ". TH",
+      ".T H",
+      "è Ĥ",
+      "Ġ rant",
+      "Ġr ant",
+      "Ġran t",
+      "Ġra nt",
+      "ĠSt raw",
+      "ĠStr aw",
+      "ĠStra w",
+      "ĠO leDb",
+      "ĠOle Db",
+      "az io",
+      "azi o",
+      "Ġh amburg",
+      "Ġham burg",
+      "Ġpaint s",
+      "Ġpain ts",
+      "Ġpa ints",
+      "Ġpai nts",
+      "Ġ thumbs",
+      "Ġth umbs",
+      "Ġthumb s",
+      "Ġ NullPointerException",
+      "ĠNull PointerException",
+      "Ġg roupe",
+      "Ġgroup e",
+      "Ġgro upe",
+      "Ġgrou pe",
+      "ĠHome Component",
+      "Ġb allo",
+      "Ġball o",
+      "Ġbal lo",
+      "ĠINIT IAL",
+      "_ are",
+      "_a re",
+      "_ar e",
+      "Ġ Pes",
+      "ĠP es",
+      "ĠPe s",
+      "ur ses",
+      "urs es",
+      "urse s",
+      "Ġbard zo",
+      ".get Length",
+      "am oto",
+      "amo to",
+      ".notify DataSetChanged",
+      "i enes",
+      "ie nes",
+      "ien es",
+      "iene s",
+      "en zie",
+      "enz ie",
+      "_ emb",
+      "_e mb",
+      "_em b",
+      "um ni",
+      "umn i",
+      "sm ooth",
+      "ĠD ro",
+      "ĠDr o",
+      "p aste",
+      "pa ste",
+      "pas te",
+      "past e",
+      "Ġ Narr",
+      "ĠN arr",
+      "ĠNa rr",
+      "ĠNar r",
+      "- ---ĊĊ",
+      "-- --ĊĊ",
+      "---- ĊĊ",
+      "--- -ĊĊ",
+      "----Ċ Ċ",
+      "Ï ī",
+      "Ġ Autor",
+      "ĠA utor",
+      "ĠAuto r",
+      "ĠAut or",
+      "ĠAu tor",
+      "Ġout ros",
+      "Ġoutr os",
+      "Ġoutro s",
+      "Ġ LABEL",
+      "ĠL ABEL",
+      "ĠLA BEL",
+      "ĠLAB EL",
+      ". pa",
+      ".p a",
+      ". Student",
+      ".St udent",
+      "( Xml",
+      "(X ml",
+      "Ġethnic ity",
+      "Ġethn icity",
+      "ĠI vy",
+      "ĠIv y",
+      "ãĤ Ī",
+      "_ fake",
+      "_f ake",
+      "_fa ke",
+      "? (:",
+      "?( :",
+      "up loaded",
+      "upload ed",
+      "get Manager",
+      "-Q aeda",
+      "od iac",
+      "odi ac",
+      "odia c",
+      "Con nor",
+      "Conn or",
+      "i han",
+      "ih an",
+      "M AT",
+      "MA T",
+      "( mid",
+      "(m id",
+      "(mi d",
+      "ĠAl ban",
+      "ĠAlb an",
+      "Ġs oir",
+      "Ġso ir",
+      "C ombo",
+      "Com bo",
+      "Comb o",
+      "Ġ Publication",
+      "ĠPublic ation",
+      "ĠPub lication",
+      "op oulos",
+      "opo ulos",
+      "p is",
+      "pi s",
+      "Ġtem ples",
+      "Ġtemp les",
+      "Ġtemple s",
+      "Ġtempl es",
+      "ong yang",
+      "_ clients",
+      "_c lients",
+      "_cl ients",
+      "_client s",
+      "_cli ents",
+      "Ġr ods",
+      "Ġro ds",
+      "Ġrod s",
+      "Ġ xc",
+      "Ġx c",
+      "ij ken",
+      "ijk en",
+      "ijke n",
+      "Ġre ap",
+      "Ġä¸ĭ åįĪ",
+      "ĉ connect",
+      "ĉconn ect",
+      "ĉcon nect",
+      "F ocused",
+      "Focus ed",
+      ", count",
+      ",c ount",
+      "ie tet",
+      "iet et",
+      "iete t",
+      "Ġh acia",
+      "Ġha cia",
+      "Ġhac ia",
+      "Ġhaci a",
+      "_ allocator",
+      "_all ocator",
+      "_al locator",
+      "_alloc ator",
+      "Ġtoxic ity",
+      "Ġtox icity",
+      "( sequence",
+      "(se quence",
+      "Ġnuest ros",
+      "Ġnuestro s",
+      "ĠPrincip les",
+      "ĠPrinciple s",
+      "Ġ lle",
+      "Ġl le",
+      "Ġll e",
+      "al aria",
+      "ala ria",
+      "alar ia",
+      ".write String",
+      "ĠA FL",
+      "ĠAF L",
+      "if ndef",
+      "Ġ Dos",
+      "ĠD os",
+      "ĠDo s",
+      "ÅĽ cie",
+      "ÅĽci e",
+      "Ġ Aggregate",
+      "ĠAg gregate",
+      "Ġsacrifice s",
+      "Ġsacrific es",
+      "_offset s",
+      "_off sets",
+      "l db",
+      "ld b",
+      "Ġl atch",
+      "Ġlat ch",
+      "Ġ fullscreen",
+      "Ġfull screen",
+      "miss ive",
+      "OPTION S",
+      "OPT IONS",
+      "Ġ Telephone",
+      "ĠTele phone",
+      "Ġar senal",
+      "Ġarsen al",
+      "je jer",
+      "jej er",
+      "ĠH osp",
+      "ĠHo sp",
+      "ĠHos p",
+      "Ġf avourites",
+      "Ġfavour ites",
+      "Ġfavourite s",
+      "r ive",
+      "ri ve",
+      "riv e",
+      ". increment",
+      ".in crement",
+      ".inc rement",
+      "Ġ bv",
+      "Ġb v",
+      "Ġ Fantastic",
+      "ĠFant astic",
+      ". say",
+      ".s ay",
+      ".sa y",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "Ġmedic inal",
+      "Ġ DROP",
+      "ĠD ROP",
+      "ĠDR OP",
+      "Ġp ity",
+      "Ġpi ty",
+      "Ġpit y",
+      "met is",
+      "Ġw ollen",
+      "Ġwo llen",
+      "Ġwoll en",
+      "Ġwol len",
+      "Ġ bef",
+      "Ġb ef",
+      "Ġbe f",
+      "_ Bl",
+      "_B l",
+      "Ġ >>ĊĊ",
+      "Ġ> >ĊĊ",
+      "Ġ>> ĊĊ",
+      "b ower",
+      "bo wer",
+      "bow er",
+      "Ġsw apped",
+      "Ġswap ped",
+      "/ install",
+      "Ġs inks",
+      "Ġsin ks",
+      "Ġsink s",
+      "etr ize",
+      "etri ze",
+      "Ġdec lines",
+      "Ġdecl ines",
+      "Ġdecline s",
+      "ĉ mysql",
+      "ĉm ysql",
+      "ĉmy sql",
+      "Ġ CString",
+      "ĠC String",
+      "ĠCS tring",
+      "ĠM otionEvent",
+      "ĠMotion Event",
+      ". Language",
+      ".L anguage",
+      "R oad",
+      "Ro ad",
+      "ÑĤ еÑĢ",
+      "ÑĤе ÑĢ",
+      "asc imento",
+      "' ))->",
+      "') )->",
+      "')) ->",
+      ". about",
+      ".a bout",
+      ".ab out",
+      "( editor",
+      "(e ditor",
+      "(ed itor",
+      "(edit or",
+      "ĠR atings",
+      "ĠRa tings",
+      "ĠRating s",
+      "ĠRat ings",
+      "in come",
+      "inc ome",
+      "Å¡ e",
+      ".de queueReusableCell",
+      "ĠAust rian",
+      "ĠAustria n",
+      "ĠAustr ian",
+      "Ġs ulla",
+      "Ġsu lla",
+      "Ġsul la",
+      "ĠTrib unal",
+      "Ġ Didn",
+      "ĠDi dn",
+      "ĠDid n",
+      "о ваÑĢ",
+      "ов аÑĢ",
+      "ова ÑĢ",
+      "Ġins pections",
+      "Ġinspect ions",
+      "Ġinspection s",
+      "Ġinsp ections",
+      "B oss",
+      "Bo ss",
+      "Ġcock tails",
+      "Ġcocktail s",
+      "Ġapolog ized",
+      "Ġapologize d",
+      "_ subplot",
+      "_sub plot",
+      "o pal",
+      "op al",
+      "opa l",
+      "+ =(",
+      "+= (",
+      "Ġreson ance",
+      "i bu",
+      "ib u",
+      "Ġ 리",
+      "Ġë ¦¬",
+      "Ġë¦ ¬",
+      "r oma",
+      "ro ma",
+      "rom a",
+      "re serve",
+      "res erve",
+      "rese rve",
+      "p ls",
+      "pl s",
+      "ĠT ah",
+      "ĠTa h",
+      "a xies",
+      "ax ies",
+      "O PLE",
+      "OP LE",
+      "ĠDar ren",
+      "ĠZ ombie",
+      "_ Map",
+      "_M ap",
+      "Ġ ])ĊĊ",
+      "Ġ] )ĊĊ",
+      "Ġ])Ċ Ċ",
+      "Ġ]) ĊĊ",
+      "Ġ Qi",
+      "ĠQ i",
+      "ĠS ail",
+      "ĠSa il",
+      "ĠSai l",
+      "Ġrestrict ive",
+      "Ġeros ion",
+      "- par",
+      "-p ar",
+      "W HITE",
+      "WH ITE",
+      "Ġold u",
+      "Ġol du",
+      "Ġap erture",
+      "Ġbit coins",
+      "Ġbitcoin s",
+      "text o",
+      "tex to",
+      "ĠCom cast",
+      "Ġtime less",
+      "Ġtim eless",
+      "en kins",
+      "enk ins",
+      "Ġfe eder",
+      "Ġfeed er",
+      "Ġfee der",
+      "/ tmp",
+      "/t mp",
+      "res den",
+      "+ '_",
+      "+' _",
+      ". Destroy",
+      ".D estroy",
+      ".De stroy",
+      "Ġ çok",
+      "Ġç ok",
+      "Ġ DOCUMENT",
+      "ĠD OCUMENT",
+      "ĠDOC UMENT",
+      ". lng",
+      ".l ng",
+      ". tagName",
+      ".tag Name",
+      "Ġk ullan",
+      "Ġkul lan",
+      "eg rate",
+      "egr ate",
+      "egra te",
+      "Ġ( *.",
+      "Ġ(* .",
+      "ç¼ĸ è¾ij",
+      "Ġhand shake",
+      "s oc",
+      "so c",
+      "_ geometry",
+      "_ge ometry",
+      "_geo metry",
+      "_geom etry",
+      "ĠDam ascus",
+      "Min or",
+      "Mi nor",
+      "ĠK afka",
+      "ĠKaf ka",
+      "ìĹ ¬",
+      "Fl orida",
+      "_ compute",
+      "_com pute",
+      "_comp ute",
+      ". expr",
+      ".ex pr",
+      ".exp r",
+      "Ġ paralle",
+      "Ġpar alle",
+      "Ġpara lle",
+      "ĠD iaz",
+      "ĠDi az",
+      "ĠDia z",
+      "c ir",
+      "ci r",
+      "[ target",
+      "[t arget",
+      "Ġj oking",
+      "Ġjo king",
+      "Ġg lor",
+      "Ġgl or",
+      "Ġglo r",
+      "( setq",
+      "(set q",
+      "_ handlers",
+      "_handler s",
+      "_handle rs",
+      "_hand lers",
+      "H ang",
+      "Ha ng",
+      "Han g",
+      "Ġf err",
+      "Ġfe rr",
+      "Ġfer r",
+      "r iminal",
+      "rim inal",
+      "ĉ ĠĠĠĠĉĉ",
+      "ĉĠĠĠ Ġĉĉ",
+      "ĉĠ ĠĠĠĉĉ",
+      "ĉĠĠ ĠĠĉĉ",
+      "ĉĠĠĠĠ ĉĉ",
+      "ĉĠĠĠĠĉ ĉ",
+      "en ties",
+      "ent ies",
+      "enti es",
+      "def ines",
+      "define s",
+      "- tax",
+      "-t ax",
+      "json p",
+      "Ġ UPS",
+      "ĠU PS",
+      "ĠUP S",
+      "m etro",
+      "me tro",
+      "met ro",
+      "_ _;Ċ",
+      "__ ;Ċ",
+      "__; Ċ",
+      "ĠUg anda",
+      "] )):Ċ",
+      "]) ):Ċ",
+      "])) :Ċ",
+      "_ td",
+      "_t d",
+      "x ae",
+      "xa e",
+      "l w",
+      ". OS",
+      ".O S",
+      "Ġ Logged",
+      "ĠLog ged",
+      "a cid",
+      "ac id",
+      "aci d",
+      "ĠM ayo",
+      "ĠMay o",
+      "ĠMa yo",
+      "a spect",
+      "as pect",
+      "asp ect",
+      "Ġvag inal",
+      "Ġvagina l",
+      "Ġinitial izing",
+      "Ġste roids",
+      "Ġster oids",
+      "Ġsteroid s",
+      "f iction",
+      "fi ction",
+      "fic tion",
+      "G RE",
+      "GR E",
+      "g end",
+      "ge nd",
+      "gen d",
+      "Ġli abilities",
+      "Ġ Lets",
+      "ĠL ets",
+      "ĠLe ts",
+      "ĠLet s",
+      "M ech",
+      "Me ch",
+      "( nc",
+      "(n c",
+      "( change",
+      "(ch ange",
+      "(chan ge",
+      "Ġconn ectors",
+      "Ġconnect ors",
+      "Ġconnector s",
+      ": k",
+      "Ġt ast",
+      "Ġta st",
+      "Ġtas t",
+      "! \");ĊĊ",
+      "!\" );ĊĊ",
+      "!\");Ċ Ċ",
+      "!\"); ĊĊ",
+      "!\") ;ĊĊ",
+      "th ings",
+      "thing s",
+      "thin gs",
+      "r ophy",
+      "ro phy",
+      "rop hy",
+      "roph y",
+      "l uetooth",
+      "lu etooth",
+      "luet ooth",
+      "Ġ SignUp",
+      "ĠSign Up",
+      ". ctrl",
+      ".c trl",
+      ".ct rl",
+      "Ġthere in",
+      "Ġther ein",
+      "or da",
+      "ord a",
+      ". escape",
+      ".e scape",
+      ".es cape",
+      "ig ator",
+      "iga tor",
+      "Ġpet rol",
+      "Ġspec imen",
+      "Ġspeci men",
+      "Ġdeb uted",
+      "Ġdebut ed",
+      "- Pro",
+      "-P ro",
+      "Ġcr ises",
+      "Ġcri ses",
+      "Ġcris es",
+      ".add View",
+      "ëı Ļ",
+      "- door",
+      "-d oor",
+      "-do or",
+      "Ġm onet",
+      "Ġmon et",
+      "Ġmo net",
+      "Ġm illis",
+      "Ġmill is",
+      "Ġmil lis",
+      "Ġmilli s",
+      "Ġ vier",
+      "Ġv ier",
+      "Ġvi er",
+      "Ġvie r",
+      "Internal Enumerator",
+      "Ġ admins",
+      "Ġad mins",
+      "Ġadmin s",
+      "Ġadm ins",
+      "ĠL air",
+      "ĠLa ir",
+      "z in",
+      "zi n",
+      "get Query",
+      "um bles",
+      "umb les",
+      "umble s",
+      "L IMIT",
+      "LI MIT",
+      "ĠV ig",
+      "ĠVi g",
+      "_ song",
+      "_s ong",
+      "_so ng",
+      "< Character",
+      ": :.",
+      ":: .",
+      "_ hom",
+      "_h om",
+      "_ bp",
+      "_b p",
+      "ĠSup ervisor",
+      "ĠSuper visor",
+      "ĠSuperv isor",
+      "sub mission",
+      "ab ile",
+      "abil e",
+      "abi le",
+      "Ġn oi",
+      "Ġno i",
+      "Or Create",
+      "Ġp eel",
+      "Ġpe el",
+      "Ġpee l",
+      "Ġon Start",
+      "Ġsent iments",
+      "Ġsentiment s",
+      "v ehicles",
+      "veh icles",
+      "vehicle s",
+      "Ġclass rooms",
+      "Ġclassroom s",
+      "Ġs zer",
+      "Ġsz er",
+      "Ġb ending",
+      "Ġben ding",
+      "Ġbend ing",
+      "Ġlong evity",
+      "Ġ acl",
+      "Ġa cl",
+      "Ġac l",
+      "ĠAle ppo",
+      "Ġ UM",
+      "ĠU M",
+      "ĠR icht",
+      "ĠRich t",
+      "ĠRic ht",
+      "ĠRi cht",
+      "Ġmulti processing",
+      "Ġmultip rocessing",
+      "DO MAIN",
+      "DOM AIN",
+      "\", \"+",
+      "\",\" +",
+      "_ YEAR",
+      "_Y EAR",
+      "Ġsc rape",
+      "Ġscr ape",
+      "Ġscrap e",
+      "Ġsol itary",
+      "Ġ\" ]\";Ċ",
+      "Ġ\"] \";Ċ",
+      "Ġ\"]\" ;Ċ",
+      "/ errors",
+      "/error s",
+      "ìŀ ¬",
+      "ľ ëł¥",
+      "b etter",
+      "bet ter",
+      "bett er",
+      "bette r",
+      "ĉ number",
+      "ĉn umber",
+      "ĉnum ber",
+      "Ġ LF",
+      "ĠL F",
+      "Ġ Across",
+      "ĠA cross",
+      "ĠAc ross",
+      "Pub Med",
+      "\\ \"\"",
+      "\\\" \"",
+      "ĠExcell ence",
+      "Ġus ando",
+      "Ġusa ndo",
+      "ĠU IP",
+      "ĠUI P",
+      "Activity Indicator",
+      "_ VOID",
+      "_V OID",
+      "_VO ID",
+      "Ġbre eds",
+      "Ġbreed s",
+      "Ġbree ds",
+      "ï½ ¥",
+      "ues tas",
+      "uest as",
+      "uesta s",
+      "ĠTre asure",
+      "ustr alian",
+      "ustral ian",
+      "ustralia n",
+      "( face",
+      "(f ace",
+      "ĠT ennis",
+      "ĠTen nis",
+      "ĠTenn is",
+      "ĉ Int",
+      "ĉI nt",
+      "ĉIn t",
+      "ĠH ansen",
+      "ĠHan sen",
+      "ĠHans en",
+      "ç µ",
+      ": I",
+      "Ġ âľĶ",
+      "Ġâľ Ķ",
+      "G RAY",
+      "GR AY",
+      "GRA Y",
+      "O USE",
+      "OU SE",
+      "OUS E",
+      "Ġhe pat",
+      "Ġhep at",
+      "ł í",
+      "A IR",
+      "AI R",
+      "ó ż",
+      "Ġ queued",
+      "Ġque ued",
+      "Ġqueue d",
+      "vin cia",
+      "vi ncia",
+      "vinc ia",
+      "ĠCh romium",
+      "ĠChrom ium",
+      "Ġcompet ence",
+      "Ġcompete nce",
+      "un gal",
+      "ung al",
+      "unga l",
+      "i lli",
+      "il li",
+      "ill i",
+      "Ġget By",
+      "Ġ Finder",
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+      "Delay ed",
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+      "alloca ted",
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+      "ĠS ORT",
+      "ĠSO RT",
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+      "Ġexport er",
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+      "ĠHu ll",
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+      "\\R oute",
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+      "ĠRetro fit",
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+      "Ġregul ating",
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+      "ĠMol ly",
+      "ĠL ok",
+      "ĠLo k",
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+      "_C ustom",
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+      "ĠPr omo",
+      "ĠProm o",
+      "i sin",
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+      "apt ors",
+      "aptor s",
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+      "Ġpropag ate",
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+      "Ġpasa do",
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+      "tha nk",
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+      "_De lete",
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+      "ĠBright on",
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+      "Ġaspiration s",
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+      "-h ow",
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+      "Ros e",
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+      "_need ed",
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+      "_pl ural",
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+      "Ġ TEMP",
+      "ĠT EMP",
+      "ĠTE MP",
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+      "So u",
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+      "Ġtro ll",
+      "Ġcom plementary",
+      "Ġcomplement ary",
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+      "Ġescri t",
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+      "Ġprosecute d",
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+      "ĠJud a",
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+      "amb re",
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+      "Ġro ma",
+      "Ġrom a",
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+      "En h",
+      "b onus",
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+      "Ġs quat",
+      "Ġsqu at",
+      "Ġsq uat",
+      "Ġd istra",
+      "Ġdis tra",
+      "Ġdist ra",
+      "Ġdi stra",
+      "Ġdistr a",
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+      "Ġpe ppers",
+      "Ġpepper s",
+      "Ġpepp ers",
+      "Ġpep pers",
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+      "-per formance",
+      ", ĊĊĊ",
+      ",Ċ ĊĊ",
+      ",ĊĊ Ċ",
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+      ",f ile",
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+      "ĠMI ME",
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+      "_con cat",
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+      "AB S",
+      "-f ashion",
+      "Ġunder cover",
+      "One ToMany",
+      "Ġre claim",
+      "Ġrecl aim",
+      "C OPY",
+      "CO PY",
+      "Ġb inds",
+      "Ġbi nds",
+      "Ġbin ds",
+      "Ġbind s",
+      "ĠT ape",
+      "ĠTa pe",
+      "ĠTap e",
+      "Ġg ossip",
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+      "<Scalar s",
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+      "ounding Box",
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+      "_det ection",
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+      "Ġe Book",
+      "EN OMEM",
+      "ENO MEM",
+      "Ġd ang",
+      "Ġda ng",
+      "Ġdan g",
+      "Prof essional",
+      "Ġd ictionaries",
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+      "/my sql",
+      "ĠST UD",
+      "Ġm asse",
+      "Ġmass e",
+      "Ġma sse",
+      "Ġmas se",
+      "s cape",
+      "sc ape",
+      "Ġd rei",
+      "Ġdr ei",
+      "Ġdre i",
+      ": name",
+      ":n ame",
+      ". logo",
+      ".l ogo",
+      ".log o",
+      ".lo go",
+      "Sign Up",
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+      "Ġt ahun",
+      "Ġtah un",
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+      "(th eme",
+      "(the me",
+      "ĠF emme",
+      "ĠFem me",
+      "Ġbomb er",
+      "Ġbom ber",
+      "ĠJ ade",
+      "ĠJa de",
+      "ĠJad e",
+      "ĠT ay",
+      "ĠTa y",
+      "Ġsub marine",
+      "Ġsubmar ine",
+      "_ clause",
+      "_cl ause",
+      "z ych",
+      "zy ch",
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+      "Ġcaso s",
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+      "ĉen v",
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+      "ĠCut e",
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+      "ĠFactory Girl",
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+      "ab us",
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+      "/v alue",
+      "Ġj adx",
+      "Ġja dx",
+      "Ġs tern",
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+      "Ġster n",
+      "> >ĊĊ",
+      ">> ĊĊ",
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+      "plat z",
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+      "ĉ email",
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+      "([ (",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "Ġ }]",
+      "Ġ} ]",
+      "w izard",
+      "Ġm ientras",
+      "Ġdata List",
+      "Ġemerg es",
+      "Ġemerge s",
+      "Äĥ ng",
+      "Äĥn g",
+      ".Read Int",
+      "P GA",
+      "PG A",
+      "ILL ISE",
+      "I Enumerator",
+      "( tuple",
+      "(t uple",
+      "Christ mas",
+      "Look AndFeel",
+      "o generated",
+      "og enerated",
+      "ogene rated",
+      "Ġ #ĊĊ",
+      "Ġ# ĊĊ",
+      "Ġ#Ċ Ċ",
+      "cont rolled",
+      "control led",
+      "Ġex quisite",
+      "Ġa cest",
+      "Ġac est",
+      "Ġace st",
+      "Read Write",
+      "G ain",
+      "Ga in",
+      "ãĢį ãĢĮ",
+      "Ġcopyright ed",
+      "Ġd oom",
+      "Ġdo om",
+      ".Table LayoutPanel",
+      "ĠD ort",
+      "ĠDo rt",
+      "ĠDor t",
+      "Ġch ili",
+      "Ġchi li",
+      "Ġ werk",
+      "Ġw erk",
+      "Ġwe rk",
+      "Ġwer k",
+      "ĠEVENT S",
+      "ĠEV ENTS",
+      "ĠEVEN TS",
+      "ĠBe acon",
+      "ĠBea con",
+      "Ġship ments",
+      "Ġshipment s",
+      "Ġse bagai",
+      "u pon",
+      "up on",
+      "upo n",
+      "u tom",
+      "ut om",
+      "uto m",
+      ". converter",
+      ".con verter",
+      ".convert er",
+      ".Drop Table",
+      "= {}Ċ",
+      "={ }Ċ",
+      "={} Ċ",
+      "f ic",
+      "fi c",
+      "~ ĊĊ",
+      "~Ċ Ċ",
+      "Ġlesb ians",
+      "Ġlesbian s",
+      "Ġlesbi ans",
+      "_ na",
+      "_n a",
+      "Fore ign",
+      "ĉ then",
+      "ĉt hen",
+      "ĉthe n",
+      "ĉth en",
+      "/ ms",
+      "/m s",
+      "Ġ ori",
+      "Ġo ri",
+      "Ġor i",
+      "get Property",
+      "ĉsn printf",
+      "h esion",
+      "hes ion",
+      "ãģ ¤",
+      "\" },\"",
+      "\"} ,\"",
+      "\"}, \"",
+      "Ġac rylic",
+      "P ers",
+      "Per s",
+      "Pe rs",
+      "@ Enable",
+      "I sl",
+      "Is l",
+      "( Card",
+      "(C ard",
+      ". Stack",
+      ".St ack",
+      "L icensed",
+      "License d",
+      "Lic ensed",
+      "_ GUID",
+      "_G UID",
+      "_GUI D",
+      "_GU ID",
+      ": title",
+      ":t itle",
+      "Ġh ust",
+      "Ġhus t",
+      "Ġhu st",
+      "Ġprincipal Table",
+      "an itize",
+      "/ embed",
+      "/em bed",
+      "Ġens ured",
+      "Ġensure d",
+      "ĠE GL",
+      "ĠEG L",
+      "ÙĪ ر",
+      "Ġ åĪĨ",
+      "ĠåĪ Ĩ",
+      "/ ,Ċ",
+      "/, Ċ",
+      "Ġfundra iser",
+      "Key Name",
+      "Ġmar ched",
+      "Ġmarch ed",
+      "Ġmarc hed",
+      "_ VALUES",
+      "_VAL UES",
+      "_VALUE S",
+      "Ġ Scenario",
+      "ĠSc enario",
+      "Ġ metic",
+      "Ġm etic",
+      "Ġme tic",
+      "Ġmet ic",
+      "_ associ",
+      "_ass oci",
+      "_assoc i",
+      "ĠPa stor",
+      "ĠPast or",
+      "ĠPas tor",
+      "ĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉ",
+      "e rate",
+      "er ate",
+      "era te",
+      "Ġinv itations",
+      "Ġinvitation s",
+      "Ġinvit ations",
+      "qu oise",
+      "quo ise",
+      "quoi se",
+      "Ġbl aming",
+      "Ġbla ming",
+      "Ġd aring",
+      "Ġda ring",
+      "Ġdar ing",
+      "Ġdari ng",
+      "UM MY",
+      "Ġr icher",
+      "Ġrich er",
+      "Ġri cher",
+      "Ġric her",
+      "e maker",
+      "em aker",
+      "ema ker",
+      "Ġ Identification",
+      "ĠIdent ification",
+      "Ġ ìĿ¸",
+      "ĠìĿ ¸",
+      "ĠBinding Flags",
+      "c has",
+      "ch as",
+      "cha s",
+      "Ġresil ient",
+      "_ pg",
+      "_p g",
+      "Ġre leg",
+      "Ġrel eg",
+      "Ġrele g",
+      "Ġ IRA",
+      "ĠI RA",
+      "ĠIR A",
+      "S TE",
+      "ST E",
+      "Ġ tractor",
+      "Ġtr actor",
+      "Ġtra ctor",
+      "Ġtract or",
+      "- loading",
+      "-lo ading",
+      "-load ing",
+      "Ġ Previously",
+      "ĠPre viously",
+      "ĠPrevious ly",
+      "ĠPrev iously",
+      "ĠV acc",
+      "ĠVa cc",
+      "ĠVac c",
+      "/ be",
+      "/b e",
+      "Ġn Ã¥r",
+      "ĠnÃ¥ r",
+      "Ġ urlencode",
+      "Ġurl encode",
+      "ĠNor folk",
+      ". Release",
+      ".R elease",
+      ".Re lease",
+      ".Rel ease",
+      "Ġ Neutral",
+      "ĠNe utral",
+      "ä¸Ń åĽ½",
+      "ĠAr lington",
+      "Ġalleg es",
+      "Ġalle ges",
+      "Ġallege s",
+      "ĠW riters",
+      "ĠWrite rs",
+      "ĠWriter s",
+      "T ester",
+      "Test er",
+      "Te ster",
+      "Tes ter",
+      "ĠR ally",
+      "Ġc á",
+      "ĉ Print",
+      "ĉP rint",
+      "Ġâĩ Ĵ",
+      "Ġ UserController",
+      "ĠUser Controller",
+      "ĠUserControl ler",
+      "ĠSe eking",
+      "ĠSee king",
+      "ĠSeek ing",
+      ". VAL",
+      ".V AL",
+      "List Node",
+      "_ ff",
+      "_f f",
+      "ĠPhil lip",
+      "ĠPhill ip",
+      "F ACT",
+      "FA CT",
+      "Ġc aramel",
+      "Ġcar amel",
+      "Ġcara mel",
+      "Ġ Multip",
+      "ĠM ultip",
+      "ĠMulti p",
+      "ĠMult ip",
+      "ĠMul tip",
+      "ĠCom pared",
+      "ĠComp ared",
+      "ĠCompar ed",
+      "ĠCompare d",
+      "ĠSer bia",
+      "Ł ³",
+      "Ġrev ive",
+      "ĠK anye",
+      "ĠKan ye",
+      "Ġv erge",
+      "Ġver ge",
+      "Ġverg e",
+      "ĠBulg aria",
+      "get Body",
+      "Ġ| >",
+      "c eph",
+      "ce ph",
+      "cep h",
+      ".DateTime Picker",
+      ". \";ĊĊ",
+      ".\" ;ĊĊ",
+      ".\";Ċ Ċ",
+      ".\"; ĊĊ",
+      "ĠT ie",
+      "ĠTi e",
+      ", item",
+      ",i tem",
+      ",it em",
+      "Ġm enn",
+      "Ġme nn",
+      "Ġmen n",
+      "G as",
+      "Ga s",
+      "o cha",
+      "oc ha",
+      "och a",
+      "_ virtual",
+      "_v irtual",
+      "Ġmaster piece",
+      "_ sequences",
+      "_se quences",
+      "_sequence s",
+      "L TE",
+      "LT E",
+      "Ġ Submission",
+      "ĠSub mission",
+      "C aller",
+      "Call er",
+      "Cal ler",
+      "Ca ller",
+      "$ \\",
+      "S port",
+      "Sp ort",
+      "Spo rt",
+      "ag us",
+      "agu s",
+      "Constraint Maker",
+      "Ġco loc",
+      "Ġcol oc",
+      "Ġ wig",
+      "Ġw ig",
+      "Ġwi g",
+      "Ġ У",
+      "ĠÐ £",
+      "ĉ Array",
+      "ĉA rray",
+      "L ooks",
+      "Lo oks",
+      "Look s",
+      "ĠG TA",
+      "ĠGT A",
+      ". steps",
+      ".st eps",
+      ".step s",
+      "atch ewan",
+      "_ ranges",
+      "_r anges",
+      "_range s",
+      "ext Alignment",
+      "ĠBren nan",
+      "Ġab straction",
+      "Ġabs traction",
+      "Ġabstract ion",
+      "Ġabst raction",
+      "uler Angles",
+      ". misc",
+      ".m isc",
+      ".mi sc",
+      "Ġantib odies",
+      "Ġex ponential",
+      "Ġexponent ial",
+      "Ġ CHANNEL",
+      "ĠCH ANNEL",
+      "exp ense",
+      "' y",
+      "Ġdetect ives",
+      "Ġdetective s",
+      "Ġpur ported",
+      "Y STEM",
+      "YS TEM",
+      "YST EM",
+      "Ġradio active",
+      "ĠLat ina",
+      "ĠLatin a",
+      ". Encoding",
+      ".En coding",
+      ".Enc oding",
+      ". TAG",
+      ".T AG",
+      "x in",
+      "xi n",
+      "D egree",
+      "De gree",
+      "Deg ree",
+      "ur acion",
+      "ura cion",
+      "p rices",
+      "pr ices",
+      "price s",
+      "pri ces",
+      "ĠRefer entialAction",
+      "Ġr arity",
+      "Ġrar ity",
+      "Ġp iles",
+      "Ġpi les",
+      "Ġpil es",
+      "Ġpile s",
+      "g ende",
+      "ge nde",
+      "gen de",
+      "gend e",
+      "_ projects",
+      "_project s",
+      "_proj ects",
+      "_ globals",
+      "_g lobals",
+      "_global s",
+      "_glob als",
+      ". startTime",
+      ".start Time",
+      "Ġ 구",
+      "Ġê µ¬",
+      "Ġêµ ¬",
+      "SE CTION",
+      "SEC TION",
+      "_ publish",
+      "_p ublish",
+      "_pub lish",
+      "F ault",
+      "Fa ult",
+      "D DL",
+      "DD L",
+      "_ prior",
+      "_p rior",
+      "_pr ior",
+      "_pri or",
+      "M om",
+      "Mo m",
+      "Ġth icker",
+      "Ġthick er",
+      "Ġthi cker",
+      "Ġ sequelize",
+      "Ġsequ elize",
+      "Ġsequel ize",
+      "Ġess entials",
+      "Ġessential s",
+      "s tras",
+      "st ras",
+      "str as",
+      "stra s",
+      "in tr",
+      "int r",
+      "> (()",
+      ">( ()",
+      ">(( )",
+      ". management",
+      ".man agement",
+      ".manage ment",
+      "e il",
+      "ei l",
+      "éĹ Ń",
+      "A ware",
+      "Aw are",
+      ". City",
+      ".C ity",
+      "ĠAr bit",
+      "ĠArb it",
+      "_ DM",
+      "_D M",
+      "_ keyboard",
+      "_key board",
+      "L Object",
+      "LO bject",
+      "- webpack",
+      "-web pack",
+      "ĠNew port",
+      "Ġprincipal Column",
+      "leg ant",
+      "Ġp allet",
+      "Ġpal let",
+      "Ġpall et",
+      "Ġfract ure",
+      "Ġfrac ture",
+      "Ġ gmail",
+      "Ġg mail",
+      "Ġgm ail",
+      ". Meta",
+      ".M eta",
+      ".Me ta",
+      "A bove",
+      "Ab ove",
+      ". KeyEvent",
+      ".Key Event",
+      "j it",
+      "ji t",
+      "_ macro",
+      "_m acro",
+      "_mac ro",
+      "_ma cro",
+      "_P USH",
+      "_PUS H",
+      "á» ©",
+      "/ controller",
+      "/control ler",
+      "åĬł è½½",
+      "Ġsuperf icial",
+      "exter ity",
+      "Ġ mensagem",
+      "Ġm ensagem",
+      "Ġmens agem",
+      "W ind",
+      "Win d",
+      "Wi nd",
+      "i ston",
+      "is ton",
+      "ist on",
+      "isto n",
+      ".open api",
+      "и ÑĢов",
+      "иÑĢ ов",
+      "Ġ Serializer",
+      "ĠS erializer",
+      "ĠSerial izer",
+      "ĠSerialize r",
+      "uct ive",
+      "Ġ zar",
+      "Ġz ar",
+      "Ġza r",
+      "P laces",
+      "Pl aces",
+      "Place s",
+      ". Static",
+      ".St atic",
+      ".Stat ic",
+      "B a",
+      "Ġin advert",
+      "ĠIndones ian",
+      "ĠIndonesia n",
+      "_I PV",
+      "_IP V",
+      "( horizontal",
+      "(h orizontal",
+      "Ġ getTitle",
+      "Ġget Title",
+      "ide press",
+      "ĠConsole Color",
+      "i pers",
+      "ip ers",
+      "ipe rs",
+      "iper s",
+      "$ out",
+      "$o ut",
+      "Ġfest ive",
+      "Ġeven ings",
+      "Ġevening s",
+      "Ġeve nings",
+      ". GetData",
+      ".Get Data",
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+      "ĠHe zbollah",
+      "n orth",
+      "nor th",
+      "Ġ GRE",
+      "ĠG RE",
+      "ĠGR E",
+      "ö g",
+      "qu oi",
+      "quo i",
+      "-threat ening",
+      "Ġwor ms",
+      "Ġwo rms",
+      "Ġworm s",
+      "Ġ PN",
+      "ĠP N",
+      "Ġsex date",
+      "Ġmon uments",
+      "Ġmonument s",
+      "M MC",
+      "MM C",
+      "b ots",
+      "bo ts",
+      "bot s",
+      "ĠSD LK",
+      "ĠSDL K",
+      "de ath",
+      "dea th",
+      "Ġp its",
+      "Ġpi ts",
+      "Ġpit s",
+      "_ choices",
+      "_choice s",
+      "( solution",
+      "(s olution",
+      "(sol ution",
+      "Ġpro claimed",
+      "Ġproclaim ed",
+      "ĠQ ing",
+      "ĠQi ng",
+      "ĠQin g",
+      "Ġs scanf",
+      "Ġss canf",
+      "str ategy",
+      "strate gy",
+      "de aux",
+      "dea ux",
+      "ĠF ischer",
+      "_ IV",
+      "_I V",
+      "Ġin ward",
+      "Date Picker",
+      "Ġse wer",
+      "Ġsew er",
+      "Ġeu rop",
+      "Ġeuro p",
+      "Ġhome lessness",
+      "Ġhomeless ness",
+      ".Spring BootApplication",
+      "ĠSpace X",
+      "Ġin forming",
+      "Ġinform ing",
+      "Ġ' !",
+      "Ġpl aster",
+      "Ġpla ster",
+      "Ġplast er",
+      "Initial ization",
+      ". beta",
+      ".b eta",
+      ".be ta",
+      "Ġ Persons",
+      "ĠPer sons",
+      "ĠPerson s",
+      "ĠPers ons",
+      "ugg ling",
+      "Ġsh ampoo",
+      "ĠJ eh",
+      "ĠJe h",
+      "Ġs err",
+      "Ġse rr",
+      "Ġser r",
+      "Ġmax Size",
+      "Ġst itches",
+      "Ġstitch es",
+      "[ path",
+      "[p ath",
+      ". ret",
+      ".re t",
+      ".r et",
+      "ĠP ret",
+      "ĠPr et",
+      "ĠPre t",
+      "N eil",
+      "Ne il",
+      "Con verted",
+      "Convert ed",
+      "ĠMaz da",
+      "POS IT",
+      "Tool kit",
+      "Ġ README",
+      "ĠREAD ME",
+      "Custom Attributes",
+      "arch ivo",
+      ". Paint",
+      ".P aint",
+      "get Object",
+      "I Q",
+      ". WebDriver",
+      ".Web Driver",
+      "Ġanti body",
+      "Ġantib ody",
+      "ĠL ima",
+      "ĠLim a",
+      "ĠLi ma",
+      "in correct",
+      "inc orrect",
+      "F raction",
+      "Fr action",
+      "Fra ction",
+      "Ġ Deadline",
+      "ĠDead line",
+      "send Message",
+      ". Offset",
+      ".O ffset",
+      "e dio",
+      "ed io",
+      "edi o",
+      "Ġ ×IJ",
+      "Ġ× IJ",
+      "Ġsm oothing",
+      "Ġsmooth ing",
+      ". bo",
+      ".b o",
+      "Ġ CENT",
+      "ĠC ENT",
+      "ĠCE NT",
+      "e lastic",
+      "el astic",
+      "elas tic",
+      ".char CodeAt",
+      "Refresh Layout",
+      "A GED",
+      "AG ED",
+      "AGE D",
+      ") ;\\Ċ",
+      "); \\Ċ",
+      ");\\ Ċ",
+      "Ġ[ ])ĊĊ",
+      "Ġ[] )ĊĊ",
+      "Ġ[])Ċ Ċ",
+      "Ġ[]) ĊĊ",
+      "Ġt aps",
+      "Ġta ps",
+      "Ġtap s",
+      "D V",
+      "âĢ ķ",
+      "ĠC oy",
+      "ĠCo y",
+      "Ġout weigh",
+      "' gc",
+      "\\ Exceptions",
+      "\\Exception s",
+      "Ġ Grammar",
+      "ĠGram mar",
+      "ĠGu atemala",
+      "ĠG uru",
+      "ĠGu ru",
+      "ĠGur u",
+      "Ġ tej",
+      "Ġt ej",
+      "Ġte j",
+      "Ġfriend ships",
+      "Ġfriends hips",
+      "Ġfriendship s",
+      "Ġc oping",
+      "Ġco ping",
+      "Ġcop ing",
+      "( updated",
+      "(update d",
+      "(up dated",
+      "_ dx",
+      "_d x",
+      "A nal",
+      "An al",
+      "Ana l",
+      "- May",
+      "-M ay",
+      "Ġmatch making",
+      "Ġj unto",
+      "Ġjun to",
+      "PACK AGE",
+      "Ġre nts",
+      "Ġr ents",
+      "Ġren ts",
+      "Ġrent s",
+      "Ġ èĩª",
+      "Ġèĩ ª",
+      "c akes",
+      "ca kes",
+      "cake s",
+      "cak es",
+      "ãĢĤ ',Ċ",
+      "r ending",
+      "ren ding",
+      "rend ing",
+      "_ Framework",
+      "_F ramework",
+      "_Frame work",
+      "- )",
+      "( upload",
+      "(up load",
+      "Ġo portun",
+      "Ġca usa",
+      "Ġcaus a",
+      "Ġprol ific",
+      "Row Count",
+      "Ġnack te",
+      "Ġnackt e",
+      "ĠS oy",
+      "ĠSo y",
+      "Sh utdown",
+      "è Ī",
+      "_EX PI",
+      "_EXP I",
+      "ĠHar bour",
+      "Ġt ore",
+      "Ġto re",
+      "Ġtor e",
+      "\\ Message",
+      "\\M essage",
+      "/ U",
+      "OMB RE",
+      ". segment",
+      ".s egment",
+      ".se gment",
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+      "Ġc omed",
+      "Ġcom ed",
+      "Ġco med",
+      "Ġcome d",
+      "r oman",
+      "ro man",
+      "rom an",
+      "roma n",
+      "Ġseg ún",
+      "S igma",
+      "Sig ma",
+      "Ġski ing",
+      "Ġ Terrain",
+      "ĠTer rain",
+      "ĠTerr ain",
+      "ĠTerra in",
+      "Ġbench marks",
+      "Ġbenchmark s",
+      "Ġ Attention",
+      "ĠAtt ention",
+      "Ġ }*/ĊĊ",
+      "Ġ} */ĊĊ",
+      "Ġ}*/Ċ Ċ",
+      "Ġg eil",
+      "Ġge il",
+      "Ġcart oons",
+      "Ġcartoon s",
+      "Ġat tribution",
+      "Ġattrib ution",
+      "Ġr otor",
+      "Ġro tor",
+      "Ġrot or",
+      "en ha",
+      "enh a",
+      "Ġ γ",
+      "ĠÎ ³",
+      "Ġt raj",
+      "Ġtr aj",
+      "Ġtra j",
+      "Ġc ông",
+      "Ġcô ng",
+      "Ġsh akes",
+      "Ġsha kes",
+      "Ġshake s",
+      "ĠClem son",
+      "Ġbrut ality",
+      "Ġbrutal ity",
+      "Ġ ;čĊčĊ",
+      "Ġ; čĊčĊ",
+      "Ġ;čĊ čĊ",
+      "Ġeight een",
+      "ĠAware ness",
+      "( rest",
+      "(r est",
+      "(res t",
+      "(re st",
+      "Ġvi olin",
+      "Ġviol in",
+      "_ ROUTE",
+      "_RO UTE",
+      "_ROUT E",
+      ". FieldName",
+      ".Field Name",
+      "ĠA de",
+      "ĠAd e",
+      "i zia",
+      "iz ia",
+      "izi a",
+      "ĠH elm",
+      "ĠHe lm",
+      "ĠHel m",
+      "Ġt ying",
+      "Ġty ing",
+      "Ġ ProgressBar",
+      "ĠProgress Bar",
+      "a utor",
+      "aut or",
+      "au tor",
+      "auto r",
+      "Ġl ondon",
+      "Ġlo ndon",
+      "Ġlon don",
+      "& w",
+      "g oo",
+      "go o",
+      "IS TRY",
+      "IST RY",
+      "ISTR Y",
+      "/ Create",
+      "/C reate",
+      "ĠUS ING",
+      "Ġ GX",
+      "ĠG X",
+      "ĠE FFECT",
+      "ĠEFF ECT",
+      "F cn",
+      "Fc n",
+      "Ġ Encryption",
+      "ĠEnc ryption",
+      "ĠEncrypt ion",
+      "C ED",
+      "CE D",
+      "f ine",
+      "fin e",
+      "fi ne",
+      "- array",
+      "-a rray",
+      "-ar ray",
+      "Ġ pushViewController",
+      "Ġpush ViewController",
+      "@ $",
+      "Up loaded",
+      "Upload ed",
+      "- write",
+      "-w rite",
+      ". getPage",
+      ".get Page",
+      ".getP age",
+      "_ estado",
+      "_est ado",
+      "ANT LR",
+      "ĠView Data",
+      "Ġ$ {(",
+      "Ġ${ (",
+      "Ġal mond",
+      "Ġalm ond",
+      "Ġ Logical",
+      "ĠLog ical",
+      "ĠLogic al",
+      "Ġshoot ers",
+      "Ġshooter s",
+      "Ġsho oters",
+      "Ġ ìłľ",
+      "Ġìł ľ",
+      "Ġp uff",
+      "Ġpu ff",
+      "Ġun comment",
+      "Ġcustom izable",
+      "Äĥ r",
+      "Dir ective",
+      "Direct ive",
+      "ĉ idx",
+      "ĉi dx",
+      "ĉid x",
+      "Ch allenge",
+      "Ġsummar ize",
+      "Ġ Avg",
+      "ĠA vg",
+      "ĠAv g",
+      ". UserID",
+      ".User ID",
+      ".dispatch Event",
+      "Ġco oker",
+      "Ġcook er",
+      "Ġconnection String",
+      "Ġshr inking",
+      "Ġshrink ing",
+      "j ad",
+      "ja d",
+      "Ġ Themes",
+      "ĠThe mes",
+      "ĠTh emes",
+      "ĠTheme s",
+      "ĠThem es",
+      "and atory",
+      "Ġdub ious",
+      "Ġ cep",
+      "Ġc ep",
+      "Ġce p",
+      "sp inner",
+      "spin ner",
+      "Ġsub reddit",
+      "Ġ iii",
+      "Ġi ii",
+      "Ġii i",
+      "/ cache",
+      "/c ache",
+      "/ca che",
+      "de fer",
+      "def er",
+      "Ġsubstitute d",
+      "Ġsubstit uted",
+      "Ġgun man",
+      "c ling",
+      "cl ing",
+      "cli ng",
+      "clin g",
+      "Ġ ì°",
+      "Ġì °",
+      "( ctrl",
+      "(c trl",
+      "(ct rl",
+      "Order Id",
+      "_ eng",
+      "_e ng",
+      "_en g",
+      "Ġfilm makers",
+      "Ġfilmm akers",
+      "Ġfilmmaker s",
+      "Ġforward ing",
+      "Ġstr anded",
+      "Ġstrand ed",
+      "Ġstran ded",
+      "Ġ Lean",
+      "ĠL ean",
+      "ĠLe an",
+      "Ġ ë§Į",
+      "Ġë§ Į",
+      "( Unit",
+      "(U nit",
+      "(Un it",
+      "Ġdid Set",
+      "l ake",
+      "la ke",
+      "lak e",
+      "gr ounds",
+      "ground s",
+      "gro unds",
+      "åĽ ł",
+      "Ġun register",
+      "Ġm inha",
+      "Ġmin ha",
+      "Ġminh a",
+      "ĠV egan",
+      "ĠVe gan",
+      "ĠVega n",
+      "ĠVeg an",
+      "ĉ iVar",
+      "ĉi Var",
+      "---------------------------------------------------------------- ------Ċ",
+      "---------------------------------------------------------------------- Ċ",
+      "ot tle",
+      "ott le",
+      "I PC",
+      "IP C",
+      "Ġ pragma",
+      "Ġpr agma",
+      "Ġprag ma",
+      "Ġ IID",
+      "ĠI ID",
+      "ĠII D",
+      "_ Min",
+      "_M in",
+      "% ;\">Ċ",
+      "%; \">Ċ",
+      "%;\" >Ċ",
+      "%;\"> Ċ",
+      "_ ram",
+      "_r am",
+      "_ra m",
+      "dr ivers",
+      "driver s",
+      "drive rs",
+      "ĠCh ick",
+      "ĠChi ck",
+      "ĠChic k",
+      "Ġ clr",
+      "Ġc lr",
+      "Ġcl r",
+      "_ BUFF",
+      "_B UFF",
+      "_BUF F",
+      "_BU FF",
+      "ĠвÑĭ б",
+      "M erc",
+      "Me rc",
+      "Mer c",
+      "ju ven",
+      "Ġs him",
+      "Ġsh im",
+      "Ñĭ Ñħ",
+      "Ġtheoret ically",
+      "Ġtheoretical ly",
+      "Ġtheor etically",
+      "/ forum",
+      "/f orum",
+      "Ġsp iders",
+      "Ġspi ders",
+      "Ġspider s",
+      "Ġg oose",
+      "Ġgo ose",
+      "Ġgoo se",
+      "Ġ Photon",
+      "ĠPh oton",
+      "ĠPhoto n",
+      "ĠPhot on",
+      "Ġprof iciency",
+      "ĠCl erk",
+      "ĠCle rk",
+      "ĠCler k",
+      "_ fig",
+      "_f ig",
+      "Con cern",
+      "( cost",
+      "(c ost",
+      "(co st",
+      "(cos t",
+      "Ġ redd",
+      "Ġre dd",
+      "Ġr edd",
+      "Ġred d",
+      ". environment",
+      ".en vironment",
+      ".environ ment",
+      "C rop",
+      "Cr op",
+      "Cro p",
+      "Ġ âī¥",
+      "Ġâī ¥",
+      "yect os",
+      "yecto s",
+      ".Batch Norm",
+      "- comp",
+      "-c omp",
+      "-com p",
+      "-co mp",
+      "$ image",
+      "$i mage",
+      "ĠN ikon",
+      "ĠNik on",
+      "ĠNi kon",
+      "Ġd mg",
+      "Ġdm g",
+      "[ ::-",
+      "[: :-",
+      "P LL",
+      "PL L",
+      "unc ios",
+      "unci os",
+      "uncio s",
+      "f ocused",
+      "focus ed",
+      "Ġt uo",
+      "Ġtu o",
+      "Ġhv ordan",
+      "Ġhvor dan",
+      "Ġatt ained",
+      "Ġattain ed",
+      "Ġprot ector",
+      "Ġprote ctor",
+      "Ġprotect or",
+      "ĠK ant",
+      "ĠKa nt",
+      "ĠKan t",
+      "Ġs hores",
+      "Ġsh ores",
+      "Ġshore s",
+      "Ġsho res",
+      "ĠE than",
+      "ĠEth an",
+      "ĠEt han",
+      "_ school",
+      "_s chool",
+      "Ġneat ly",
+      ". Shapes",
+      ".Sh apes",
+      ".Shape s",
+      "ĠN em",
+      "ĠNe m",
+      "h cp",
+      "hc p",
+      ".' /'.$",
+      ".'/ '.$",
+      "ĠMé xico",
+      "struct uring",
+      "Ġl akh",
+      "Ġla kh",
+      "Ġlak h",
+      "Ġ adresse",
+      "Ġad resse",
+      "Ġadress e",
+      "Ġadres se",
+      "Ġadr esse",
+      "' ,'#",
+      "', '#",
+      "',' #",
+      "ĠH askell",
+      "_ ENGINE",
+      "_EN GINE",
+      "Ġre pent",
+      "Ġrep ent",
+      "Ġrepe nt",
+      "Ġc uck",
+      "Ġcu ck",
+      "Ġcuc k",
+      ". FIELD",
+      ".F IELD",
+      "ĠS ke",
+      "ĠSk e",
+      "@@ @@",
+      "H its",
+      "Hi ts",
+      "Hit s",
+      "Ġim plants",
+      "Ġimpl ants",
+      "Ġimplant s",
+      "ĠConstitution al",
+      "Ġ PHPUnit",
+      "ĠPHP Unit",
+      "Ġtoilet s",
+      "Ġtoile ts",
+      "Ġtoi lets",
+      ". album",
+      ".al bum",
+      "ä¸ĭ è½½",
+      "ĉ setState",
+      "ĉset State",
+      "(\" ----------------",
+      "(\"- ---------------",
+      "(\"-- --------------",
+      "(\"--- -------------",
+      ". Amount",
+      ".A mount",
+      "ect ure",
+      "ec ture",
+      "Ġ Thousands",
+      "ĠTh ousands",
+      "ĠThousand s",
+      "N either",
+      "Ne ither",
+      "Ġpre sets",
+      "Ġpres ets",
+      "Ġpreset s",
+      "ĠAs sume",
+      "ĠAss ume",
+      "( factory",
+      "(f actory",
+      "(factor y",
+      "Ġ lick",
+      "Ġl ick",
+      "Ġli ck",
+      "Ġlic k",
+      "Ġgoal keeper",
+      "< State",
+      "- security",
+      "-s ecurity",
+      "-se curity",
+      "_ ie",
+      "_i e",
+      "es ktop",
+      "esk top",
+      "Ġ Lv",
+      "ĠL v",
+      "ĠSym phony",
+      ". samples",
+      ".s amples",
+      ".sample s",
+      ".sam ples",
+      "Ġhypert ension",
+      "ÅĤ u",
+      ". just",
+      ".j ust",
+      "M ensaje",
+      "! =-",
+      "!= -",
+      "<T Key",
+      "Ġsp ying",
+      "Ġspy ing",
+      ", date",
+      ",d ate",
+      "organ ized",
+      "Ġ ĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠ ĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠ ĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠčĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠčĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠčĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ čĊ",
+      "( cuda",
+      "(c uda",
+      "_ Metadata",
+      "_M etadata",
+      "_Meta data",
+      "ub ishi",
+      "ubi shi",
+      "-B enz",
+      "_ Ass",
+      "_A ss",
+      "_As s",
+      "ĠElse If",
+      "Ġles ions",
+      "Ġlesion s",
+      "ĠPres ton",
+      "ĠPre ston",
+      "ĠPrest on",
+      "Techn ical",
+      "Ġpl atinum",
+      "/ pi",
+      "/p i",
+      "Index es",
+      "Ġpar aph",
+      "Ġpara ph",
+      "Ġpa raph",
+      "Ġover throw",
+      "ip ated",
+      "ipa ted",
+      "ont ology",
+      "onto logy",
+      "Ġdem ographics",
+      "Ġdemo graphics",
+      "Ġdemographic s",
+      "Ġc ane",
+      "Ġcan e",
+      "Ġca ne",
+      "Ġprofit ability",
+      "Ġestablish ments",
+      "Ġestablishment s",
+      "] &",
+      ": absolute",
+      ":a bsolute",
+      "ent rada",
+      "entr ada",
+      "T p",
+      "Ġshare holder",
+      ". '_",
+      ".' _",
+      "å¦Ĥ æŀľ",
+      "n pj",
+      "np j",
+      "v rir",
+      "vr ir",
+      "Ġ EXEC",
+      "ĠEX EC",
+      "ĠP olicies",
+      "ĠPol icies",
+      "ĠPolic ies",
+      "Ġfellow ship",
+      "Ġfellows hip",
+      "ĠCGRect Get",
+      "_ recipe",
+      "_rec ipe",
+      "_ REC",
+      "_RE C",
+      "_R EC",
+      "u nu",
+      "un u",
+      "Ġrob bed",
+      "Ġtur moil",
+      ") ::",
+      "): :",
+      ". startDate",
+      ".start Date",
+      "Ġevac uated",
+      "Ġevacuate d",
+      "- equ",
+      "-e qu",
+      "Ġfour teen",
+      "@Spring BootApplication",
+      "Ġ æķ°æį®",
+      "Ġæķ° æį®",
+      "n ants",
+      "na nts",
+      "nan ts",
+      "nant s",
+      "th ren",
+      "thr en",
+      "S ony",
+      "So ny",
+      "Son y",
+      "D FS",
+      "DF S",
+      "-c igaret",
+      "Ġaggrav ated",
+      "Ġn ederland",
+      "Ġned erland",
+      "ĠF uj",
+      "ĠFu j",
+      "u ces",
+      "uc es",
+      "uce s",
+      "/ use",
+      "/u se",
+      "/us e",
+      "um mer",
+      "umm er",
+      "( STD",
+      "(S TD",
+      "(ST D",
+      "ê° Ħ",
+      "* >&",
+      "*> &",
+      ". percent",
+      ".per cent",
+      "i ants",
+      "ia nts",
+      "ian ts",
+      "iant s",
+      "ĠC t",
+      "V AS",
+      "VA S",
+      "_T HEME",
+      "_THE ME",
+      "Ġsn iper",
+      "_ EL",
+      "_E L",
+      "- workers",
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+      "Ġubiqu itous",
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+      "ın a",
+      "- food",
+      "-f ood",
+      "Ġcrystal l",
+      "Ġcryst all",
+      "Ñĥ б",
+      "Ġ' ~",
+      "Ġ Ðij",
+      "ĠÐ ij",
+      "Ġd unk",
+      "Ġdu nk",
+      "Ġdun k",
+      "Ġ zi",
+      "Ġz i",
+      "ĠM ug",
+      "ĠMu g",
+      "Ġde ception",
+      "Ġdece ption",
+      "ĠEm acs",
+      "Ċ ĠĠĠĠĊĠĠĠĠĊ",
+      "ĊĠĠĠĠĊ ĠĠĠĠĊ",
+      "ĠÄij ược",
+      "ĠW olves",
+      "ĠWol ves",
+      "am enti",
+      "ament i",
+      "amen ti",
+      "Ġ ')[",
+      "Ġ' )[",
+      "Ġ') [",
+      "form ats",
+      "format s",
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+      "Rec v",
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+      "_t rial",
+      "_tr ial",
+      "_tri al",
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+      "agr ant",
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+      "Ġ osp",
+      "Ġo sp",
+      "Ġos p",
+      "q ué",
+      "qu é",
+      "Ġ gon",
+      "Ġg on",
+      "Ġgo n",
+      "Ġmer eka",
+      "Ġmere ka",
+      "ar endra",
+      "aren dra",
+      "arend ra",
+      "M ine",
+      "Min e",
+      "Mi ne",
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+      ".link edin",
+      "Ġ fifo",
+      "Ġf ifo",
+      "Ġfi fo",
+      "Ġfif o",
+      ". monitor",
+      ".m onitor",
+      ".mon itor",
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+      "m nop",
+      "mn op",
+      "Ġspec ulate",
+      "Ġspe culate",
+      "e gl",
+      "eg l",
+      "Ġ vascular",
+      "Ġv ascular",
+      "Ġvas cular",
+      ". tech",
+      ".t ech",
+      ".te ch",
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+      "Ġl est",
+      "Ġle st",
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+      "um ann",
+      "uman n",
+      "uma nn",
+      "ĠDriver Manager",
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+      "Ġo rt",
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+      "Ġlinger ing",
+      "Ġ ostream",
+      "Ġo stream",
+      "Ġost ream",
+      "Ġostr eam",
+      "Ġspark ling",
+      ". connector",
+      ".connect or",
+      ".conn ector",
+      "Ġ tails",
+      "Ġt ails",
+      "Ġta ils",
+      "Ġtail s",
+      "Ġtai ls",
+      "Ġk ernels",
+      "Ġkernel s",
+      "Ġker nels",
+      "Ġkern els",
+      "USER NAME",
+      "ĉ cc",
+      "ĉc c",
+      "Ġon Select",
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+      "t ape",
+      "ta pe",
+      "tap e",
+      ".djang oproject",
+      "G ene",
+      "Ge ne",
+      "Gen e",
+      "âĢĻ in",
+      "âĢĻi n",
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+      "/f ilter",
+      "-en velope",
+      "-env elope",
+      "Ġappl ause",
+      "Ġreg istros",
+      "Ġregistr os",
+      "Ġregist ros",
+      "Ġregistro s",
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+      "oten t",
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+      ". effect",
+      ".e ffect",
+      ".ef fect",
+      "pl acements",
+      "place ments",
+      "placement s",
+      "ĠA FC",
+      "ĠAF C",
+      ". Sequence",
+      ".Se quence",
+      "Ġ-- --------------------------------------------------------------------------Ċ",
+      "Ġ---------------------------------------------------------------- ------------Ċ",
+      "Ġ---------------------------------------------------------------------------- Ċ",
+      "Ġ------ ----------------------------------------------------------------------Ċ",
+      "Ġ------------------------------------------------------------------------- ---Ċ",
+      "ynth ia",
+      "ĠGriff ith",
+      "el man",
+      "elm an",
+      "set Description",
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+      "ĠNight s",
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+      ".order s",
+      ".or ders",
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+      "Ġ` ,Ċ",
+      "Ġ`, Ċ",
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+      "ĠSa lad",
+      "ĠSala d",
+      "j iang",
+      "ji ang",
+      "jian g",
+      "Ġ recur",
+      "Ġre cur",
+      "Ġrec ur",
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+      "Ġrus s",
+      "Ġestablish es",
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+      ".Get FileName",
+      "Ġp emb",
+      "Ġpe mb",
+      "Ġpem b",
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+      "ĠSa ud",
+      "ĠSau d",
+      "_p ackets",
+      "_packet s",
+      "_pack ets",
+      ". invoice",
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+      "Ġt ö",
+      "ag her",
+      "agh er",
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+      ".en t",
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+      "Ġgenu s",
+      "ĠBaby lon",
+      "ĠBab ylon",
+      "Ġ ../../",
+      "Ġ.. /../",
+      "Ġ../ ../",
+      "ĠMid night",
+      "Ġ wg",
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+      "Ġd ancer",
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+      "Ġdance r",
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+      "-im m",
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+      "dir e",
+      "di re",
+      "h azi",
+      "ha zi",
+      "c ertificate",
+      "cert ificate",
+      "Ġm Data",
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+      "Cap ital",
+      "Ġconc ise",
+      "ĠP each",
+      "ĠPe ach",
+      "Ġ |\\",
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+      "Ġp pm",
+      "Ġpp m",
+      "_ contains",
+      "_con tains",
+      "_cont ains",
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+      "_l b",
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+      "Ġsole mn",
+      "Ġfinger t",
+      "Ġfing ert",
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+      "ĠS v",
+      "P ark",
+      "Par k",
+      "Pa rk",
+      "$ type",
+      "$t ype",
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+      "Re moving",
+      "Rem oving",
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+      "gett o",
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+      "Ġdisadvantage s",
+      "- front",
+      "-f ront",
+      "-fr ont",
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+      "set OnClickListener",
+      "Ġland lords",
+      "Ġlandlord s",
+      "ĠM ü",
+      "Ġpre processing",
+      "Ġprep rocessing",
+      "Ġpreprocess ing",
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+      "- context",
+      "-con text",
+      "-cont ext",
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+      ",b ool",
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+      "QUI T",
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+      "Ġ\") \");Ċ",
+      "Ġ\")\" );Ċ",
+      "ĠWe bsites",
+      "ĠWeb sites",
+      "ĠWebsite s",
+      "ĠCharlotte sville",
+      "ĠCharl ottesville",
+      "L atch",
+      "Lat ch",
+      ". directive",
+      ".dir ective",
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+      "_ dirty",
+      "_d irty",
+      "_dir ty",
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+      "exp iration",
+      "ĠT PM",
+      "ĠTP M",
+      "Ġ edx",
+      "Ġe dx",
+      "Ġed x",
+      "ĠWebDriver Wait",
+      "Ġadm ired",
+      "Ġadmire d",
+      "Ġadmir ed",
+      "Ġlist ens",
+      "Ġlisten s",
+      "Ġliste ns",
+      "ĠV il",
+      "ĠVi l",
+      "d ifferent",
+      "Ġliv elihood",
+      "ĠWar craft",
+      "Ġpos icion",
+      "Ġposi cion",
+      "Ġimpe achment",
+      "J ay",
+      "Ja y",
+      "Ġpos itives",
+      "Ġpositive s",
+      "Ġposit ives",
+      "Ġj unge",
+      "Ġju nge",
+      "Ġjun ge",
+      "Ġjung e",
+      "ĠS MB",
+      "ĠSM B",
+      "/ includes",
+      "/in cludes",
+      "/include s",
+      "(' ../../../",
+      "('../ ../../",
+      "('../../ ../",
+      "Argument NullException",
+      "desc ricao",
+      "descr icao",
+      "ABC DE",
+      "- AA",
+      "-A A",
+      "Ġinv aded",
+      "Ġinvade d",
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+      "Ġdiscour aged",
+      "Ġdiscourage d",
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+      "Ġabdom en",
+      "Ġ IPP",
+      "ĠI PP",
+      "ĠIP P",
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+      "ĠHam pton",
+      "ĠHamp ton",
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+      "[ src",
+      "[s rc",
+      "C String",
+      "CS tring",
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+      "ĠNu n",
+      "Ġep ith",
+      "Ġepit h",
+      "âĢ »",
+      ". tables",
+      ".t ables",
+      ".table s",
+      ".tab les",
+      ".ta bles",
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+      "Ġclar ification",
+      "Ġw edge",
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+      "Ġwed ge",
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+      "ĠMerc y",
+      "ĠD ixon",
+      "ĠDi xon",
+      "ĠDix on",
+      "Ġdesar roll",
+      "Vir gin",
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+      "ĠLen ovo",
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+      "Ġsl ipping",
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+      "plant s",
+      "pla nts",
+      "Ġ gettext",
+      "Ġget text",
+      "Ġmass ively",
+      "Ġmassive ly",
+      "Ġ Rename",
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+      "ĠRe name",
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+      ".he ro",
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+      "ĠCO ST",
+      "ĠCOS T",
+      "ĠPr actices",
+      "ĠPract ices",
+      "ĠPractice s",
+      ". MediaType",
+      ".Media Type",
+      "ĠF unding",
+      "ĠFund ing",
+      "ĠFun ding",
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+      ">' .Ċ",
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+      "inte rp",
+      "art ifact",
+      "arti fact",
+      "ĠB ags",
+      "ĠBa gs",
+      "ĠBag s",
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+      ".view Model",
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+      "_SC ORE",
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+      "Ġ RTL",
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+      ".Get Mapping",
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+      "=\" \")Ċ",
+      "=\"\" )Ċ",
+      "Ġd isin",
+      "Ġdis in",
+      "Ġdi sin",
+      "Ġ TouchableOpacity",
+      "ĠTouch ableOpacity",
+      "ĠMO Z",
+      "ĠD unn",
+      "ĠDu nn",
+      "ĠDun n",
+      "Cap ability",
+      "akh stan",
+      "UI ViewController",
+      "UIView Controller",
+      "(sock fd",
+      "ĠJac ques",
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+      "con da",
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+      "Ġadvoc ated",
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+      "Ġpenetr ate",
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+      "JE CTION",
+      "Ġ ë°ĺ",
+      "Ġë° ĺ",
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+      "_embedding s",
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+      "òn g",
+      "Ġjour neys",
+      "Ġjourney s",
+      "Ġ Approval",
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+      "(G raph",
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+      "Ġdoll s",
+      "Ġdol ls",
+      "Ġs exist",
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+      "Ġp ans",
+      "Ġpa ns",
+      "Ġpan s",
+      "Ġ mpl",
+      "Ġm pl",
+      "Ġmp l",
+      "Ġ operative",
+      "Ġoper ative",
+      "Ġ Torrent",
+      "ĠT orrent",
+      "ĠTor rent",
+      "Y M",
+      "ĠPass ion",
+      "æĸ Ń",
+      ". compiler",
+      ".c ompiler",
+      ".com piler",
+      ".compile r",
+      ".comp iler",
+      "ĉ CString",
+      "ĉC String",
+      "= color",
+      "=c olor",
+      "orian Calendar",
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+      "ĠKn ock",
+      "Ġh ailed",
+      "Ġha iled",
+      "Ġhai led",
+      "Ġhail ed",
+      "/ state",
+      "/st ate",
+      "/stat e",
+      "Ġset uptools",
+      "Ġsetup tools",
+      "ĠM are",
+      "ĠMar e",
+      "ĠMa re",
+      "Ġs ynchronize",
+      "Ġsynchron ize",
+      "Ġ Swipe",
+      "ĠS wipe",
+      "ĠSw ipe",
+      "Ġg amble",
+      "Ġgam ble",
+      "Ġgamb le",
+      ",' ']]],Ċ",
+      "Ġdef ective",
+      "Ġdefect ive",
+      "_OBJ C",
+      "Ġde nim",
+      "Ġden im",
+      "Ġt ad",
+      "Ġta d",
+      "ĠKim ber",
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+      "Ġneur ological",
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+      "ência s",
+      "ĉ cb",
+      "ĉc b",
+      ".set Password",
+      "ĠPle asant",
+      "Ġ Phi",
+      "ĠP hi",
+      "ĠPh i",
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+      "-t ags",
+      "-tag s",
+      "Ġcon tag",
+      "Ġcont ag",
+      "Ġco ntag",
+      "Ġconta g",
+      "ĠC oral",
+      "ĠCo ral",
+      "ĠCor al",
+      "Ġdis tract",
+      "Ġdist ract",
+      "Ġdi stract",
+      "Ġdistr act",
+      "Ġdistra ct",
+      "it izer",
+      "iti zer",
+      "itize r",
+      "Ġsun rise",
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+      "ĠO gre",
+      "ĠOg re",
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+      "P RESSION",
+      "PRE SSION",
+      "PRESS ION",
+      "_S UFFIX",
+      "d uplicate",
+      "dup licate",
+      ".auth Service",
+      "Ġs paced",
+      "Ġsp aced",
+      "Ġspace d",
+      "Ġspa ced",
+      "Ġspac ed",
+      "ĠBeng als",
+      "ĠBengal s",
+      "S olver",
+      "Sol ver",
+      "Ġbureaucr acy",
+      "_ hits",
+      "_h its",
+      "_hit s",
+      "_hi ts",
+      "ĠÑĤ ип",
+      "ĠÑĤи п",
+      "Ġ cé",
+      "Ġc é",
+      "Ġdisg race",
+      "Ġdisgr ace",
+      "è§ Ĵ",
+      "is Open",
+      "C hem",
+      "Ch em",
+      "Che m",
+      "_ license",
+      "_l icense",
+      "_ hostname",
+      "_host name",
+      "_ BREAK",
+      "_B REAK",
+      "Ġfi ery",
+      "Ġfier y",
+      "Ġfie ry",
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+      "$ v",
+      "Ġworth less",
+      "Ġ SEG",
+      "ĠS EG",
+      "ĠSE G",
+      "il iki",
+      "ili ki",
+      "ilik i",
+      "No ArgsConstructor",
+      "ĠMe rch",
+      "ĠMer ch",
+      "ĠMerc h",
+      "Ġ nop",
+      "Ġn op",
+      "Ġno p",
+      "Ġfor getting",
+      "Ġforget ting",
+      "Ġforg etting",
+      "Ġdop amine",
+      "j ual",
+      "ju al",
+      "e on",
+      "eo n",
+      "ĠRe asons",
+      "ĠReason s",
+      "sort By",
+      "(' -',",
+      "('- ',",
+      "- sync",
+      "-s ync",
+      "ec edor",
+      "eced or",
+      "K P",
+      "( coord",
+      "(c oord",
+      "(co ord",
+      "( Chat",
+      "(C hat",
+      "\\ $",
+      "e string",
+      "es tring",
+      "est ring",
+      "estr ing",
+      "c ef",
+      "ce f",
+      ".handle Error",
+      "ÛĮ د",
+      "Ñģ к",
+      "Ġhand c",
+      "Ġhan dc",
+      "e lijke",
+      "el ijke",
+      "elijk e",
+      "ĠS pir",
+      "ĠSp ir",
+      "ĠSpi r",
+      "ĠB ucks",
+      "ĠBuck s",
+      "ĠBu cks",
+      "ĠQ Rect",
+      "ĠQR ect",
+      "Set Font",
+      ".exec SQL",
+      ": :ĊĊ",
+      ":: ĊĊ",
+      "::Ċ Ċ",
+      "Ġsuic idal",
+      "se eing",
+      "see ing",
+      "Ġc ider",
+      "Ġci der",
+      "Ġcid er",
+      "Progress Dialog",
+      "Ġm olding",
+      "Ġmol ding",
+      "Ġmold ing",
+      "ĉ trace",
+      "ĉt race",
+      "ĉtr ace",
+      "Ġemphas izes",
+      "Ġemphasize s",
+      "Ġmult iples",
+      "Ġmultiple s",
+      "Ġmulti ples",
+      "Ġmultip les",
+      "_ PT",
+      "_P T",
+      "_ Output",
+      "_Out put",
+      "cap ital",
+      "Ne eds",
+      "Need s",
+      "_D IRECTION",
+      "_DIRECT ION",
+      ". isVisible",
+      ".is Visible",
+      "Ġ reste",
+      "Ġre ste",
+      "Ġr este",
+      "Ġres te",
+      "Ġrest e",
+      "Ġo var",
+      "Ġov ar",
+      "( shared",
+      "(sh ared",
+      "- compose",
+      "-com pose",
+      "-comp ose",
+      ". backward",
+      ".back ward",
+      "ĉ rect",
+      "ĉr ect",
+      "ĉre ct",
+      "ĉrec t",
+      "Am azing",
+      ".did ReceiveMemoryWarning",
+      "S ERVICE",
+      "SER VICE",
+      "ĠIn jury",
+      "B rain",
+      "Br ain",
+      "Ġaus ge",
+      "( pe",
+      "(p e",
+      "/ /************************************************************************",
+      "// ************************************************************************",
+      "//**************************************************************** ********",
+      "or ption",
+      "orp tion",
+      "_ MAIL",
+      "_M AIL",
+      "_MA IL",
+      "o ha",
+      "oh a",
+      "Ġs no",
+      "Ġsn o",
+      "Ġbo iled",
+      "Ġboil ed",
+      "ilden afil",
+      "ĠW elfare",
+      "ĠWel fare",
+      "ĠQu artz",
+      "ĠQuart z",
+      "ĠQuar tz",
+      "Ġ captcha",
+      "Ġc aptcha",
+      "Ġcapt cha",
+      "Ġ WEST",
+      "ĠW EST",
+      "ĠWE ST",
+      "ĠM aze",
+      "ĠMa ze",
+      "ĠMaz e",
+      "Ġgraph ene",
+      "Ġp erk",
+      "Ġper k",
+      "Ġpe rk",
+      "Ġmist ress",
+      "Ġmi stress",
+      "Ġmistr ess",
+      ".Form StartPosition",
+      "Ġexperi mentation",
+      "Ġexperiment ation",
+      "* )((",
+      "*) ((",
+      "*)( (",
+      "Ġbroad casts",
+      "Ġbroadcast s",
+      "Ġremove All",
+      "ĉ GUI",
+      "ĉG UI",
+      "åĥ ı",
+      "abcdefghijkl mnop",
+      "Ġun ins",
+      "Ġuni ns",
+      "Ġunin s",
+      "A SP",
+      "AS P",
+      "+ w",
+      "m ur",
+      "mu r",
+      "Ġd ine",
+      "Ġdi ne",
+      "Ġdin e",
+      "Ġa rou",
+      "Ġar ou",
+      "Ġesc apes",
+      "Ġescape s",
+      "Ġescap es",
+      "ĠTob acco",
+      ". named",
+      ".n amed",
+      ".name d",
+      "ĠPat reon",
+      "_ FACE",
+      "_F ACE",
+      "_FA CE",
+      "_ spinner",
+      "_sp inner",
+      "_spin ner",
+      "m oving",
+      "mo ving",
+      "mov ing",
+      "_ votes",
+      "_v otes",
+      "_vote s",
+      "Oh io",
+      ". encoding",
+      ".en coding",
+      ".enc oding",
+      "Deg rees",
+      "Degree s",
+      "\" To",
+      "\"T o",
+      "Ġprest ige",
+      "o sphere",
+      "os phere",
+      "osp here",
+      "osph ere",
+      "ĠLan caster",
+      "ĠLanc aster",
+      "ï¼ Ĺ",
+      "Ġon Cancel",
+      "ĠH IS",
+      "ĠHI S",
+      "Ðŀ ÑĪибка",
+      "Ġorch estr",
+      "Ġorchest r",
+      "Ġrefresh ed",
+      "D ating",
+      "Da ting",
+      "Dat ing",
+      "( mu",
+      "(m u",
+      "ĠJ ed",
+      "ĠJe d",
+      "ĠEdit orial",
+      "ĠEditor ial",
+      "SetBranch Address",
+      "CppType Definition",
+      "ĠBro nx",
+      "ĠBron x",
+      "Ġgather ings",
+      "Ġgathering s",
+      "Ġ' 'čĊ",
+      "Ġ'' čĊ",
+      "post Data",
+      "ĠF ram",
+      "ĠFr am",
+      "ĠFra m",
+      "Clip board",
+      "Ġ XPath",
+      "ĠX Path",
+      "ĠXP ath",
+      "r ays",
+      "ra ys",
+      "ray s",
+      "Ġbake ry",
+      "Ġbak ery",
+      "Ġbaker y",
+      "Ġ rowCount",
+      "Ġrow Count",
+      "Ġl ows",
+      "Ġlo ws",
+      "Ġlow s",
+      "and Where",
+      "_ versions",
+      "_v ersions",
+      "_version s",
+      "ĠG unn",
+      "ĠGu nn",
+      "ĠGun n",
+      "Ġw eer",
+      "Ġwe er",
+      "Ġwee r",
+      "Ġcontext ual",
+      "Ġ KeyCode",
+      "ĠKey Code",
+      "ĠSask atchewan",
+      "ĠPh illy",
+      "ĠPhil ly",
+      "ĠPhill y",
+      "ĠM outh",
+      "ĠMo uth",
+      "ĠMou th",
+      "Ġdo Post",
+      "Ġpercent ile",
+      "Ġbuffer Size",
+      "( freq",
+      "(f req",
+      "(fr eq",
+      "$ smarty",
+      "i erte",
+      "ier te",
+      "iert e",
+      "iss ant",
+      "issa nt",
+      "issan t",
+      "_ fps",
+      "_f ps",
+      "_fp s",
+      "Ġintim acy",
+      "_ booking",
+      "_book ing",
+      "_bo oking",
+      "Ġde composition",
+      "Ġdecom position",
+      "unicip io",
+      "Ġ NSIndexPath",
+      "ĠNS IndexPath",
+      "Ġ KR",
+      "ĠK R",
+      "Ġtur bine",
+      "Ġturb ine",
+      "- prom",
+      "-p rom",
+      "-pro m",
+      "-pr om",
+      "_C ART",
+      "_CA RT",
+      "_CAR T",
+      "( coords",
+      "(co ords",
+      "(coord s",
+      "e com",
+      "ec om",
+      "eco m",
+      "Ġc oward",
+      "Ġco ward",
+      "Ġcow ard",
+      "Ġway point",
+      "-C ola",
+      "-Col a",
+      "-Co la",
+      "Ġprofound ly",
+      "Ġ ERP",
+      "ĠE RP",
+      "ĠER P",
+      "b oundary",
+      "bound ary",
+      "Ġpo orer",
+      "Ġpoor er",
+      "Ġpoo rer",
+      "/ example",
+      "/ex ample",
+      "Ġren contr",
+      "Ġrencont r",
+      "Ġn icer",
+      "Ġnice r",
+      "Ġni cer",
+      "Ġnic er",
+      "ç ģ",
+      "- chain",
+      "-ch ain",
+      "ĠEntity State",
+      "Ġ grading",
+      "Ġgr ading",
+      "Ġgrad ing",
+      "Ġgra ding",
+      "AL IGN",
+      "ALI GN",
+      "ĠP icks",
+      "ĠPick s",
+      "ĠPi cks",
+      "ĠPic ks",
+      ". ak",
+      ".a k",
+      "- vector",
+      "-v ector",
+      "Ġ Entries",
+      "ĠEn tries",
+      "ĠEnt ries",
+      "ĠEntr ies",
+      "ĠSer gio",
+      "ĠSerg io",
+      "Ġ ********************************************************",
+      "Ġ******************************** ************************",
+      "Ġ******** ************************************************",
+      "Ġ**************** ****************************************",
+      "Ġ************************ ********************************",
+      "Ġ**************************************** ****************",
+      "Ġ************************************************ ********",
+      "O DB",
+      "OD B",
+      "Ġ å½",
+      "Ġå ½",
+      "Ġcoron ary",
+      "Ġsh aved",
+      "Ġsha ved",
+      "Ġshave d",
+      "Ġ aque",
+      "Ġa que",
+      "Ġaqu e",
+      "employ er",
+      "empl oyer",
+      "emplo yer",
+      "Ġp arch",
+      "Ġpar ch",
+      "Ġpa rch",
+      "Ġparc h",
+      "Ġme asurable",
+      "Ġmeas urable",
+      "Ġb ois",
+      "Ġbo is",
+      "join ing",
+      "jo ining",
+      "Ġvol cano",
+      "Ġvolcan o",
+      ": M",
+      ". threshold",
+      ".th reshold",
+      "ĠDo yle",
+      "verb osity",
+      "Ġ âĸº",
+      "Ġâĸ º",
+      "Ġsp ouses",
+      "Ġspo uses",
+      "Ġspouse s",
+      "Ġspou ses",
+      "Ġres umes",
+      "Ġresume s",
+      "N at",
+      "Na t",
+      "z M",
+      "_ Enable",
+      "_E nable",
+      "Ġ USED",
+      "ĠU SED",
+      "ĠUS ED",
+      "ĠUSE D",
+      "ĠCar ey",
+      "ĠCare y",
+      "ĠCa rey",
+      "ĉ fp",
+      "ĉf p",
+      "Pat rick",
+      "ĠO sw",
+      "ĠOs w",
+      "P ossible",
+      "Poss ible",
+      ". leading",
+      ".le ading",
+      "ah rung",
+      "ahr ung",
+      "âĻª ĊĊ",
+      "ĉ ĉĉĉĉĉĉĉĉĠ",
+      "ĉĉ ĉĉĉĉĉĉĉĠ",
+      "ĉĉĉĉ ĉĉĉĉĉĠ",
+      "ĉĉĉ ĉĉĉĉĉĉĠ",
+      "ĉĉĉĉĉ ĉĉĉĉĠ",
+      "ĉĉĉĉĉĉ ĉĉĉĠ",
+      "ĉĉĉĉĉĉĉĉ ĉĠ",
+      "ĉĉĉĉĉĉĉ ĉĉĠ",
+      "ĉĉĉĉĉĉĉĉĉ Ġ",
+      "ãĢĤ ãĢĮ",
+      ".add Edge",
+      "Ġ ecx",
+      "Ġe cx",
+      "Ġec x",
+      "' LBL",
+      "'L BL",
+      "ĠT CL",
+      "ĠTC L",
+      "Ġbirth s",
+      "Ġbir ths",
+      "Ġtheat rical",
+      "Ġp ij",
+      "Ġpi j",
+      "g reater",
+      "gre ater",
+      "great er",
+      "ĠF String",
+      "ĠFS tring",
+      "B ED",
+      "BE D",
+      "íĻ ĺ",
+      ". Cast",
+      ".C ast",
+      "C X",
+      "/ Main",
+      "/M ain",
+      "pe ater",
+      "peat er",
+      "Ġpersu asive",
+      "c onto",
+      "con to",
+      "cont o",
+      "x lsx",
+      "xl sx",
+      "xls x",
+      "_ ABS",
+      "_A BS",
+      "_AB S",
+      "ĠB un",
+      "ĠBu n",
+      "managed Type",
+      "г о",
+      "Ġ Scala",
+      "ĠS cala",
+      "ĠSc ala",
+      "ĠScal a",
+      "r ador",
+      "rad or",
+      "rado r",
+      "Ġrecogn izable",
+      "t ru",
+      "tr u",
+      "Ġt j",
+      "\\ Mapping",
+      "\\M apping",
+      "_ BOARD",
+      "_BO ARD",
+      "Ġ toJson",
+      "Ġto Json",
+      "Ġb owel",
+      "Ġbo wel",
+      "Ġbow el",
+      ") d",
+      "' })",
+      "'} )",
+      "(h Wnd",
+      "h rs",
+      "hr s",
+      "c ant",
+      "ca nt",
+      "can t",
+      "__ ()ĊĊ",
+      "__( )ĊĊ",
+      "__()Ċ Ċ",
+      "__() ĊĊ",
+      "Ġinterrog ation",
+      "lic ative",
+      "ĉ ĉĉĊĊ",
+      "ĉĉ ĉĊĊ",
+      "ĉĉĉ ĊĊ",
+      "ĉĉĉĊ Ċ",
+      "ĠT wins",
+      "ĠTw ins",
+      "ĠTwin s",
+      "Ġ AO",
+      "ĠA O",
+      "B ird",
+      "Bi rd",
+      "Bir d",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "per haps",
+      "o file",
+      "of ile",
+      "ofil e",
+      "ofi le",
+      "Ġp enc",
+      "Ġpe nc",
+      "Ġpen c",
+      "Ġt reeNode",
+      "Ġtree Node",
+      "Ġtop ical",
+      "Ġtopic al",
+      "- private",
+      "-pr ivate",
+      "çī ¹",
+      "Ġ Discuss",
+      "ĠDisc uss",
+      "Ġde sn",
+      "Ġdes n",
+      "R ua",
+      "Ru a",
+      ".V ERTICAL",
+      "ãĢį ãģ¨",
+      "I FORM",
+      "IF ORM",
+      "IFO RM",
+      "Ġcour tyard",
+      "Ġcourt yard",
+      "Ġ ÑģеÑĢ",
+      "ĠÑģ еÑĢ",
+      "Ġ ###Ċ",
+      "Ġ# ##Ċ",
+      "Ġ## #Ċ",
+      "Ġ### Ċ",
+      "Ġemp owering",
+      "Ġempower ing",
+      "ĠFac ilities",
+      "\\\" ,\\",
+      "\\\", \\",
+      "½ Ķ",
+      ": Object",
+      "Ġ Votes",
+      "ĠV otes",
+      "ĠVo tes",
+      "ĠVote s",
+      "i sel",
+      "is el",
+      "ise l",
+      "Ġe uch",
+      "Ġeu ch",
+      "o rst",
+      "or st",
+      "ors t",
+      "( Clone",
+      "(Cl one",
+      ". cookies",
+      ".c ookies",
+      ".co okies",
+      ".cookie s",
+      "$ tmp",
+      "$t mp",
+      "( indices",
+      "(ind ices",
+      "er gency",
+      "erg ency",
+      "erge ncy",
+      "Ġplag ued",
+      "Ġplague d",
+      "Ġ Dia",
+      "ĠD ia",
+      "ĠDi a",
+      "yc lic",
+      "ycl ic",
+      "} ))",
+      "}) )",
+      "ê² ½",
+      "Ġd uel",
+      "Ġdu el",
+      "Ġdue l",
+      "Ġheter osexual",
+      ". addComponent",
+      ".add Component",
+      "SE CRET",
+      "SEC RET",
+      "l ero",
+      "le ro",
+      "ler o",
+      "con straints",
+      "constraint s",
+      "Ġ getConnection",
+      "Ġget Connection",
+      "ĠLe bens",
+      "ĠLeben s",
+      "ĠP on",
+      "ĠPo n",
+      "ĠChron icles",
+      "ĠChronicle s",
+      "ĠChronic les",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ čĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠčĊ",
+      "ĠMour inho",
+      "Ġoccup ancy",
+      "_ slave",
+      "_sl ave",
+      "OR IZED",
+      "ORIZ ED",
+      "ĉ Y",
+      ". highlight",
+      ".high light",
+      "_s ensitive",
+      "Ġspec tro",
+      "Ġspect ro",
+      ". encrypt",
+      ".en crypt",
+      ".enc rypt",
+      "Ġspo ilers",
+      "Ġspoil ers",
+      "Ġspoiler s",
+      ". SizeMode",
+      ".Size Mode",
+      "Ġprofessional ism",
+      "> In",
+      ">I n",
+      "Ex pires",
+      "Exp ires",
+      "A u",
+      "ĠHV AC",
+      "re lations",
+      "rel ations",
+      "relation s",
+      "ĠA TK",
+      "ĠAT K",
+      "_ GENERAL",
+      "_GENER AL",
+      "_GEN ERAL",
+      "ĠS ight",
+      "ĠSi ght",
+      "ĠSig ht",
+      "Ġk itchens",
+      "Ġkitchen s",
+      ": Register",
+      "Ġ edm",
+      "Ġe dm",
+      "Ġed m",
+      "Ġtoler ated",
+      "Ġtolerate d",
+      "Ġ SESSION",
+      "ĠSE SSION",
+      "ĠSES SION",
+      "ie rz",
+      "ier z",
+      "Ġ INST",
+      "ĠI NST",
+      "ĠIN ST",
+      "ĠINS T",
+      ". paths",
+      ".p aths",
+      ".path s",
+      ".pa ths",
+      ".pat hs",
+      "Ġperpetr ators",
+      "Ġperpetrator s",
+      "e bp",
+      "eb p",
+      "pect ing",
+      "pec ting",
+      "educ ated",
+      "ĠP ioneer",
+      "_ REV",
+      "_RE V",
+      "_R EV",
+      "Ġb usty",
+      "Ġbu sty",
+      "Ġbus ty",
+      "Ġbust y",
+      "status es",
+      "stat uses",
+      "Res pond",
+      "Resp ond",
+      "sh uffle",
+      "ĠT inder",
+      "ĠTi nder",
+      "ĠTin der",
+      "Ex actly",
+      "Exact ly",
+      "ill isecond",
+      "illi second",
+      "ĠзнаÑĩ ение",
+      "( Account",
+      "(A ccount",
+      ". &",
+      "iz r",
+      "as suming",
+      "ass uming",
+      "ĉ Optional",
+      "S enha",
+      "Sen ha",
+      "Ġen rol",
+      "Ġenr ol",
+      "t ur",
+      "tu r",
+      "Ġarrog ant",
+      "ĠJ Object",
+      "ĠJO bject",
+      "oli thic",
+      "olith ic",
+      "olit hic",
+      "m apped",
+      "ma pped",
+      "map ped",
+      "Ġt ipped",
+      "Ġti pped",
+      "Ġtip ped",
+      ". UPDATE",
+      ".UP DATE",
+      "è mes",
+      "ème s",
+      "èm es",
+      "GN UC",
+      "GNU C",
+      "W X",
+      "Ġmon ks",
+      "Ġmonk s",
+      ".border Width",
+      "Ġ Shutdown",
+      "ĠSh utdown",
+      "ĠShut down",
+      "ĠHar mony",
+      "ĠHarmon y",
+      "ĠHarm ony",
+      "class ification",
+      "Ġde queueReusableCell",
+      "Ġ ];čĊ",
+      "Ġ] ;čĊ",
+      "Ġ]; čĊ",
+      ". Gen",
+      ".G en",
+      ".Ge n",
+      "Ġlav oro",
+      "Ġlavor o",
+      "ĠLeon ardo",
+      "ĠLeonard o",
+      "Ġ &)",
+      "Ġ& )",
+      "Ġdep ois",
+      "Ġ Volt",
+      "ĠV olt",
+      "ĠVol t",
+      "ĠVo lt",
+      "E th",
+      "Et h",
+      "ĠLe one",
+      "ĠLeon e",
+      "ĠLeo ne",
+      "ĠN ederland",
+      "ĠNed erland",
+      "ĠEX TRA",
+      "ĠEXT RA",
+      "Res olved",
+      "Resolve d",
+      "Ġpen insula",
+      "_ VM",
+      "_V M",
+      "G er",
+      "Ge r",
+      "ا د",
+      "Ø§Ø ¯",
+      ". prompt",
+      ".p rompt",
+      ".prom pt",
+      ". align",
+      ".al ign",
+      ".ali gn",
+      "ing ga",
+      "fil ms",
+      "film s",
+      "H ANDLE",
+      "HAND LE",
+      "Ġc arts",
+      "Ġcar ts",
+      "Ġca rts",
+      "Ġcart s",
+      "( Some",
+      "(S ome",
+      "< Audio",
+      "<A udio",
+      "Ġenlarg ement",
+      "Ġenlarge ment",
+      "Ġgro ceries",
+      "- holder",
+      "-h older",
+      "Ġirrit ation",
+      "Ġirr itation",
+      "Comm unication",
+      "Communic ation",
+      "Ġprim aries",
+      "Ġpri maries",
+      "Ġprima ries",
+      "ht ub",
+      "_ inicio",
+      "_in icio",
+      "_ini cio",
+      "Ġcoord inating",
+      "Ġcoordin ating",
+      "( qu",
+      "(q u",
+      "Ġf ais",
+      "Ġfa is",
+      "Ġv isto",
+      "Ġvis to",
+      "Ġvi sto",
+      "gu ided",
+      "gui ded",
+      "guid ed",
+      "guide d",
+      "Ġ vlan",
+      "Ġv lan",
+      "Ġvl an",
+      "Ġes presso",
+      "è te",
+      "s ehen",
+      "se hen",
+      "_ peng",
+      "_p eng",
+      "_pe ng",
+      "_pen g",
+      "Ġroof ing",
+      "Ġ Alive",
+      "ĠA live",
+      "ĠAl ive",
+      "ĠAli ve",
+      "Axis Size",
+      "Ġst un",
+      "Ġstu n",
+      "Ġre sted",
+      "Ġr ested",
+      "Ġres ted",
+      "Ġrest ed",
+      "Ġreste d",
+      "ul lets",
+      "ull ets",
+      "ullet s",
+      "ulle ts",
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+      "ĠJ unk",
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+      "ĠNot tingham",
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+      "Ste ven",
+      "Steve n",
+      "ĠM und",
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+      ")ĊĊĊ ĊĊĊĊĊ",
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+      "Ġgig g",
+      "Ġborrow er",
+      "Ġborr ower",
+      "Ġdispon ibles",
+      "Ġdisponible s",
+      "_ RECT",
+      "_RE CT",
+      "_R ECT",
+      "_REC T",
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+      "ĠT hin",
+      "ĠTh in",
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+      "x FB",
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+      "Ġrip ple",
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+      "Ġk Hz",
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+      "b ios",
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+      "table Future",
+      "/ antlr",
+      "or acle",
+      "ora cle",
+      "Ġ AREA",
+      "ĠA REA",
+      "ĠAR EA",
+      "ĠARE A",
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+      "Ġintense ly",
+      "Ġintens ely",
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+      "Ġprot obuf",
+      "Ġproto buf",
+      "ĠL ENG",
+      "ĠLE NG",
+      "ĠLEN G",
+      "ĠHead quarters",
+      "a thed",
+      "at hed",
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+      "athe d",
+      "M ind",
+      "Min d",
+      "Mi nd",
+      "in iz",
+      "ini z",
+      "ĉ Path",
+      "ĉP ath",
+      "XML Loader",
+      "Ġal locations",
+      "Ġall ocations",
+      "Ġalloc ations",
+      "Ġallocation s",
+      ". slot",
+      ".s lot",
+      ".sl ot",
+      "Proc Address",
+      "Ġ roleId",
+      "Ġrole Id",
+      "; ';Ċ",
+      ";' ;Ċ",
+      "Ġ BREAK",
+      "ĠB REAK",
+      "ĠBRE AK",
+      "ĠPer forming",
+      "ĠPerform ing",
+      ".Ordinal IgnoreCase",
+      "- gl",
+      "-g l",
+      ": h",
+      "Ġdownload able",
+      "Ġ Subscriber",
+      "ĠSub scriber",
+      "ĠSubscribe r",
+      "an se",
+      "ans e",
+      "Ġcharacter ize",
+      "Ġshr ugged",
+      "Ġ scp",
+      "Ġs cp",
+      "Ġsc p",
+      "Ġg usta",
+      "Ġgu sta",
+      "Ġgust a",
+      "Ġmet all",
+      "Ġmeta ll",
+      "Ġmetal l",
+      "Ġlabor atories",
+      "ĠX in",
+      "ĠXi n",
+      "ĠMotor cycle",
+      "Ġe get",
+      "Ġeg et",
+      "Ġfin anced",
+      "Ġfinance d",
+      "Ġfinanc ed",
+      "Ġfinan ced",
+      "ĠMOD IFY",
+      "* R",
+      "A i",
+      "Ġextrem ism",
+      "ĠHal ifax",
+      "Ġv amos",
+      "Ġva mos",
+      "$ num",
+      "$n um",
+      "Ġim part",
+      "Ġimp art",
+      "b rick",
+      "br ick",
+      "Ġ ç±»",
+      "Ġç± »",
+      "Ġfu era",
+      "Ġfue ra",
+      "Ġfuer a",
+      "Ġ ROLE",
+      "ĠR OLE",
+      "ĠRO LE",
+      ".Con current",
+      "_OPER ATOR",
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+      "ĠReg ina",
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+      "Ø £",
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+      "bs ub",
+      "J apgolly",
+      "Ġinhib itor",
+      "Ġinhibit or",
+      "Just ice",
+      "Ju stice",
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+      "Never theless",
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+      "Ġnoss o",
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+      "Ha ir",
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+      ".L ibrary",
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+      "Ġh ari",
+      "Ġhar i",
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+      "ells chaft",
+      "_ Surface",
+      "_S urface",
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+      "ĉV iew",
+      "atur days",
+      "aturday s",
+      "Ġpop corn",
+      "_ PARSE",
+      "_P ARSE",
+      "_PAR SE",
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+      "ĠRip ple",
+      "Ġph antom",
+      "Ġm ondo",
+      "Ġmon do",
+      "Ġmo ndo",
+      "Ġmond o",
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+      ".create Class",
+      "ĠKore ans",
+      "ĠKorea ns",
+      "ĠKorean s",
+      "Ġf ase",
+      "Ġfa se",
+      "Ġfas e",
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+      "ĠE quip",
+      "ĠEqu ip",
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+      "-e ight",
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+      "spir acy",
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+      "Ġ--- >",
+      "ĠP PC",
+      "ĠPP C",
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+      "is z",
+      "ake FromNib",
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+      "ĠD isp",
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+      "ĠAthletic s",
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+      "()<< \"",
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+      "Action Creators",
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+      "Ġte la",
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+      "<M ovie",
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+      "Ex planation",
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+      "Ġbe arer",
+      "Ġbear er",
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+      "ni p",
+      "ĠJer ome",
+      "ĠJe rome",
+      "ĠC Z",
+      "Ġdate Formatter",
+      "ĠdateFormat ter",
+      "é cial",
+      "éc ial",
+      "Set Name",
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+      "ou ce",
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+      "() \">",
+      "()\" >",
+      ".set PreferredSize",
+      "ĠM ID",
+      "ĠMI D",
+      "ĠA less",
+      "ĠAl ess",
+      "ĠAle ss",
+      "Ġhorse power",
+      "Ġa tm",
+      "Ġat m",
+      "ĠPack aging",
+      "Ġc iphertext",
+      "Ġcipher text",
+      "Request Method",
+      "Ġbe iden",
+      "Ġbei den",
+      "Ġbeide n",
+      "è £",
+      "ĠP OW",
+      "ĠPO W",
+      ".Write Header",
+      "d irector",
+      "dir ector",
+      "direct or",
+      "dire ctor",
+      "- but",
+      "-b ut",
+      "ãģł ãģķãģĦ",
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+      "inc er",
+      "_ dn",
+      "_d n",
+      "! !!!!",
+      "!! !!!",
+      "!!! !!",
+      "!!!! !",
+      "Ġmanufact ures",
+      "Ġmanufacture s",
+      ". TextUtils",
+      ".Text Utils",
+      "Ġcon sciously",
+      "Ġconsc iously",
+      "Ġconscious ly",
+      "Ġb ounced",
+      "Ġbounce d",
+      "c ulture",
+      "cul ture",
+      "cult ure",
+      "ĠS par",
+      "ĠSp ar",
+      "ĠSpa r",
+      "ĠP iper",
+      "ĠPi per",
+      "ĠPipe r",
+      "ĠPip er",
+      ". press",
+      ".p ress",
+      ".pre ss",
+      ".pr ess",
+      ".pres s",
+      "- owner",
+      "-o wner",
+      "Ġe valuator",
+      "Ġeval uator",
+      "Ġevalu ator",
+      "Ġ STREAM",
+      "ĠST REAM",
+      ".PictureBox SizeMode",
+      "Ġsu gars",
+      "Ġsugar s",
+      "Ġsug ars",
+      "Screen Width",
+      "Ġnext State",
+      "Ġiv ory",
+      "Ġbr unch",
+      "Ġbrun ch",
+      "d ensity",
+      "dens ity",
+      "_ OW",
+      "_O W",
+      "ĠCoron avirus",
+      "ĠC FR",
+      "ĠCF R",
+      "b ak",
+      "ba k",
+      "\\ Category",
+      "\\C ategory",
+      "æķ° ç»Ħ",
+      "Ġinvoke virtual",
+      "} ()Ċ",
+      "}( )Ċ",
+      "Ġs ujet",
+      "Ġsu jet",
+      "- marker",
+      "-m arker",
+      "-mark er",
+      "-mar ker",
+      "is digit",
+      "isd igit",
+      "ĠM obil",
+      "ĠMo bil",
+      "ĠMob il",
+      "ĠJsonRequest Behavior",
+      "_ REMOTE",
+      "_RE MOTE",
+      ".exists Sync",
+      "Ġrich es",
+      "Ġri ches",
+      "Ġric hes",
+      ".p resenter",
+      ".present er",
+      ".pres enter",
+      "Ġgl Color",
+      "Ġh anya",
+      "Ġha nya",
+      "Ġhan ya",
+      "Ġfort ress",
+      "Ġfl ashed",
+      "Ġflash ed",
+      "Ġfla shed",
+      "v iz",
+      "vi z",
+      "requ ently",
+      "requent ly",
+      "b uat",
+      "bu at",
+      "$ con",
+      "$c on",
+      "> |",
+      ". Func",
+      ".F unc",
+      "Ġhum orous",
+      "Ġhumor ous",
+      "u em",
+      "ue m",
+      ". ZERO",
+      ".Z ERO",
+      "ĠS TL",
+      "ĠST L",
+      "ĠB uk",
+      "ĠBu k",
+      "/ sample",
+      "/s ample",
+      "ĠG ros",
+      "ĠGr os",
+      "ĠGro s",
+      "Rec ipes",
+      "Recipe s",
+      "Ġinf lated",
+      "Ġinfl ated",
+      "Ġinflate d",
+      "Ġsw ung",
+      ": F",
+      "F acing",
+      "Fac ing",
+      "Fa cing",
+      ". Theme",
+      ".Th eme",
+      ".The me",
+      "н ик",
+      "ни к",
+      "Ġspl endid",
+      "Ġrequest Id",
+      ".Center Screen",
+      "/ autoload",
+      "/auto load",
+      "embed ded",
+      "_ depart",
+      "_de part",
+      "_dep art",
+      "Ġ Ports",
+      "ĠP orts",
+      "ĠPort s",
+      "ĠPo rts",
+      "ĠPor ts",
+      "๠ĥ",
+      "ай д",
+      "disc ussion",
+      "_ consum",
+      "_con sum",
+      "_cons um",
+      "Ġsc outs",
+      "Ġsco uts",
+      "Ġscout s",
+      "Ġcol abor",
+      "Ġcola bor",
+      ". Stage",
+      ".St age",
+      ". nano",
+      ".n ano",
+      ".nan o",
+      "el dorf",
+      "eld orf",
+      "eldo rf",
+      "Ġgem acht",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
+      "Ġpolicy makers",
+      "Ġpolicym akers",
+      "_P KT",
+      "_PK T",
+      ", Th",
+      ",T h",
+      "o ky",
+      "ok y",
+      "_ UID",
+      "_U ID",
+      "_UI D",
+      "P ing",
+      "Pin g",
+      "Pi ng",
+      "Ġor chest",
+      "Ġorch est",
+      "Ġorc hest",
+      "Ġop tics",
+      "Ġopt ics",
+      "Ġoptic s",
+      "u han",
+      "uh an",
+      "ĠX OR",
+      "ĠXO R",
+      "Ġespañ ol",
+      "ĠAd idas",
+      "r ng",
+      "rn g",
+      "m ans",
+      "man s",
+      "ma ns",
+      ".v stack",
+      "Ġget away",
+      "Ġh ierarchical",
+      "Ġhier archical",
+      "ano ia",
+      "anoi a",
+      "ĠBitmap Factory",
+      "re alm",
+      "rea lm",
+      "real m",
+      "ĉ ap",
+      "ĉa p",
+      "_ apps",
+      "_a pps",
+      "_app s",
+      "_ap ps",
+      "- divider",
+      "-div ider",
+      "-di vider",
+      ". drawer",
+      ".d rawer",
+      ".draw er",
+      "ĠH ARD",
+      "ĠHA RD",
+      "ĠHAR D",
+      "'] ;?>Ċ",
+      "']; ?>Ċ",
+      "'];?> Ċ",
+      "- packed",
+      "-p acked",
+      "-pack ed",
+      "æ² »",
+      "_STRUCT URE",
+      "[ Y",
+      "i Param",
+      "( eq",
+      "(e q",
+      "Ġencompass es",
+      "Ġ\\ ĊĊ",
+      "Ġ\\Ċ Ċ",
+      "- >[",
+      "-> [",
+      "& utm",
+      "g roupon",
+      "gr oupon",
+      "group on",
+      "gro upon",
+      "st rate",
+      "str ate",
+      "stra te",
+      "D Y",
+      "om orphic",
+      "' :[",
+      "': [",
+      "Ġgrav itational",
+      "ĠM icha",
+      "ĠMich a",
+      "ĠMi cha",
+      "ĠMic ha",
+      "ĠT encent",
+      "ĠTen cent",
+      "Ġco ached",
+      "Ġcoach ed",
+      "ì¶ ľ",
+      "Ñĥ менÑĤ",
+      "Ñĥм енÑĤ",
+      "/ mobile",
+      "/m obile",
+      "Mouse Down",
+      "b ud",
+      "bu d",
+      "ĠY as",
+      "ĠYa s",
+      "Ġ Providers",
+      "ĠPro viders",
+      "ĠProvid ers",
+      "ĠProvider s",
+      "ĠProvide rs",
+      "ĠProv iders",
+      "N Z",
+      "ĉ report",
+      "ĉre port",
+      "ĉrep ort",
+      "err msg",
+      "Ġimage Path",
+      "act erial",
+      "acter ial",
+      "acteria l",
+      "ĠM anga",
+      "ĠMan ga",
+      "ĠMa nga",
+      "ĠMang a",
+      "wick lung",
+      "( usuario",
+      "(us uario",
+      "\" ));čĊčĊ",
+      "\") );čĊčĊ",
+      "\")) ;čĊčĊ",
+      "\"));čĊ čĊ",
+      "\")); čĊčĊ",
+      "/ ***",
+      "/* **",
+      "/** *",
+      "Ġorgan ise",
+      "Ġorganis e",
+      "Index ed",
+      "_ QUAL",
+      "_Q UAL",
+      "_QU AL",
+      "( PyObject",
+      "(Py Object",
+      "Ġsurrender ed",
+      "PO CH",
+      "ĠN OTES",
+      "ĠNOT ES",
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+      "exp o",
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+      "';Ċ ĊĊĊ",
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+      "ĠZ um",
+      "ĠZu m",
+      "_ DP",
+      "_D P",
+      ") ];čĊ",
+      ")] ;čĊ",
+      ")]; čĊ",
+      "Ġant enn",
+      "Ġante nn",
+      "Ġ abbreviation",
+      "Ġabbrev iation",
+      "Ġse ismic",
+      "Ġseis mic",
+      "_TRANS L",
+      "_TRAN SL",
+      "µ ľ",
+      ".M illisecond",
+      ", lat",
+      ",l at",
+      "ĠAn ch",
+      "ĠAnc h",
+      "_ Mod",
+      "_M od",
+      "Al right",
+      "d da",
+      "dd a",
+      "Ġ Â¥",
+      "ĠÂ ¥",
+      "UND LE",
+      "Ġз аг",
+      "Ġза г",
+      "Ġsul fur",
+      "Ġsulf ur",
+      "ĠS ith",
+      "ĠSi th",
+      "ĠSit h",
+      "ĠN imbus",
+      "ĠNim bus",
+      "ĠEx amination",
+      "ĠExam ination",
+      "_ wifi",
+      "_w ifi",
+      "} `);ĊĊ",
+      "}` );ĊĊ",
+      "}`);Ċ Ċ",
+      "Ġsens ations",
+      "Ġsensation s",
+      "a fs",
+      "af s",
+      "_ CLR",
+      "_C LR",
+      "_CL R",
+      "Ġinf initely",
+      "Ġinfinite ly",
+      "Ġinfinit ely",
+      "Ġsyst ème",
+      "_ fonts",
+      "_font s",
+      "Imp act",
+      "P owered",
+      "Power ed",
+      "Pow ered",
+      "Ġ< =>",
+      "Ġ<= >",
+      "_ need",
+      "_n eed",
+      "_ne ed",
+      "DEC REF",
+      "Ġ// ////////////////////////////////////////////////////////////////////////",
+      "Ġ////////////////// ////////////////////////////////////////////////////////",
+      "Ġ////// ////////////////////////////////////////////////////////////////////",
+      "Ġ////////// ////////////////////////////////////////////////////////////////",
+      "Ġ////////////////////////////////////////////////////////////////////// ////",
+      "Ġ Repo",
+      "ĠRe po",
+      "ĠRep o",
+      "get Service",
+      "$ n",
+      "_p ct",
+      "_pc t",
+      "Err eur",
+      "Er reur",
+      "ĠNG Os",
+      "ĠNGO s",
+      "Ġ* ĊĊĊ",
+      "Ġ*Ċ ĊĊ",
+      "Ġ*ĊĊ Ċ",
+      ". atan",
+      ".a tan",
+      ".at an",
+      "_ TMP",
+      "_T MP",
+      "_TM P",
+      "Ġcollaps ing",
+      "Ġs ho",
+      "Ġsh o",
+      "_ PCI",
+      "_P CI",
+      "_PC I",
+      ". oper",
+      ".op er",
+      ".o per",
+      "( adj",
+      "(a dj",
+      "(ad j",
+      "Ġg iov",
+      "Ġgi ov",
+      "Ġgio v",
+      "> ).",
+      ">) .",
+      "Ġin contro",
+      "Ġincon tro",
+      "Ġincontr o",
+      "ar da",
+      "ard a",
+      "Ġap ex",
+      "Ġape x",
+      "Ġmed ida",
+      "Ġmedi da",
+      "ĠShe ikh",
+      "ĠArm enia",
+      "ĠArmen ia",
+      "associ ate",
+      "assoc iate",
+      "- wow",
+      "-w ow",
+      "Ġ Turning",
+      "ĠT urning",
+      "ĠTur ning",
+      "ĠTurn ing",
+      "ĠFre ud",
+      "ĠF ool",
+      "ĠFo ol",
+      "ĠFoo l",
+      "ĠL DS",
+      "ĠLD S",
+      "- ------ĊĊ",
+      "-- -----ĊĊ",
+      "---- ---ĊĊ",
+      "--- ----ĊĊ",
+      "----- --ĊĊ",
+      "------ -ĊĊ",
+      "------- ĊĊ",
+      "-------Ċ Ċ",
+      "ol son",
+      "ols on",
+      ". FILE",
+      ".F ILE",
+      "_ detector",
+      "_det ector",
+      "_detect or",
+      "D omin",
+      "Do min",
+      "Dom in",
+      "Ġdeploy ments",
+      "Ġdeployment s",
+      "Ġfare well",
+      "( bind",
+      "(b ind",
+      "(bin d",
+      "Ġn ovice",
+      "Ġno vice",
+      "Ġnov ice",
+      "t down",
+      "td own",
+      "Ġ getElement",
+      "Ġget Element",
+      "Ġve lit",
+      "Ġvel it",
+      "as than",
+      "ast han",
+      "ĉ channel",
+      "ĉch annel",
+      "_FRAME BUFFER",
+      ".tr ailing",
+      ".set Editable",
+      "; ,",
+      "ĠI DF",
+      "ĠID F",
+      "_ PB",
+      "_P B",
+      "get Last",
+      "ĠCoast al",
+      "ĠH andy",
+      "ĠHand y",
+      "ĠHan dy",
+      "l inger",
+      "li nger",
+      "ling er",
+      "lin ger",
+      "ãģ§ ãĤĤ",
+      "P ersistence",
+      "Pers istence",
+      "Persist ence",
+      ". getService",
+      ".get Service",
+      ".getS ervice",
+      "Ġ ок",
+      "Ġо к",
+      "Ġnot withstanding",
+      "( PR",
+      "(P R",
+      "U MB",
+      "UM B",
+      "'] )){čĊ",
+      "']) ){čĊ",
+      "'])) {čĊ",
+      "'])){ čĊ",
+      "emb rance",
+      "embr ance",
+      "ex cerpt",
+      "a qu",
+      "aq u",
+      "_b loc",
+      "_bl oc",
+      "ĠPro vision",
+      "ĠProv ision",
+      "ĠMc Don",
+      "ĠMcD on",
+      "ĠGold berg",
+      "ĠcomponentWill Unmount",
+      "Ġ basePath",
+      "Ġbase Path",
+      "-f ired",
+      "-fi red",
+      "-fire d",
+      "Ġfol lando",
+      "Ġfoll ando",
+      "Ġ Tiles",
+      "ĠT iles",
+      "ĠTile s",
+      "ĠTi les",
+      "ĠTil es",
+      "@ endforeach",
+      "@end foreach",
+      "ENC IL",
+      "ĠBo xing",
+      "ĠBox ing",
+      "i quer",
+      "ique r",
+      "iqu er",
+      "iq uer",
+      "A chie",
+      "E nums",
+      "En ums",
+      "Enum s",
+      "Base Url",
+      "( scan",
+      "(s can",
+      "(sc an",
+      "ĠPass ive",
+      "ab ella",
+      "abel la",
+      "abe lla",
+      "/ sn",
+      "/s n",
+      ".n umericUpDown",
+      "Ġ vern",
+      "Ġv ern",
+      "Ġver n",
+      "Ġve rn",
+      "local ized",
+      "ĠM iz",
+      "ĠMi z",
+      "Ġresult List",
+      "/ vue",
+      "/v ue",
+      "ER VICE",
+      "ERV ICE",
+      ". od",
+      ".o d",
+      "Ġl ign",
+      "Ġli gn",
+      "Ġlig n",
+      "ĠString Tokenizer",
+      "Ġ trag",
+      "Ġt rag",
+      "Ġtr ag",
+      "Ġtra g",
+      "Acc ordion",
+      "Ġn oreferrer",
+      "Ġno referrer",
+      "ms corlib",
+      "át is",
+      "by ter",
+      "byte r",
+      "byt er",
+      "Ġshow down",
+      "Ġsem aine",
+      "Ġ-- >čĊčĊ",
+      "Ġ--> čĊčĊ",
+      "Ġ-->čĊ čĊ",
+      "ĠMa hm",
+      "ĠMah m",
+      "} \";ĊĊ",
+      "}\" ;ĊĊ",
+      "}\";Ċ Ċ",
+      "Ġ dq",
+      "Ġd q",
+      "ĠPublish ers",
+      "ĠPublisher s",
+      "ĠA mpl",
+      "ĠAm pl",
+      "ĠAmp l",
+      "ĠDaniel le",
+      "ĠDani elle",
+      "Ġ tern",
+      "Ġt ern",
+      "Ġte rn",
+      "Ġter n",
+      "èµ ·",
+      "no ÅĽÄĩ",
+      "e in",
+      "ei n",
+      "ĠAsync Storage",
+      "u nger",
+      "un ger",
+      "ung er",
+      "unge r",
+      "ro uw",
+      "rou w",
+      "Ġsc issors",
+      "/ assert",
+      "/as sert",
+      ". bucket",
+      ".b ucket",
+      "/ archive",
+      "/a rchive",
+      "/arch ive",
+      "_ Man",
+      "_M an",
+      "Ġint oler",
+      "Ġinto ler",
+      "Ġ ()=>",
+      "Ġ( )=>",
+      "Ġ() =>",
+      "Ġ ÐĴÑĭ",
+      "ĠÐĴ Ñĭ",
+      "Ġs ai",
+      "Ġsa i",
+      ". xy",
+      ".x y",
+      ". \"čĊ",
+      ".\" čĊ",
+      "Ġur inary",
+      "e sub",
+      "es ub",
+      "IST ICS",
+      "ISTIC S",
+      "Ġ κ",
+      "ĠÎ º",
+      "Ġcompl iments",
+      "Ġcompliment s",
+      "Ġtypings Japgolly",
+      "i har",
+      "ih ar",
+      "Exp ansion",
+      "ĠS erving",
+      "ĠSer ving",
+      "ĠServ ing",
+      "_ students",
+      "_st udents",
+      "_student s",
+      "ĠX BOOLE",
+      "( il",
+      "(i l",
+      "Ġ ì²ĺ",
+      "Ġì² ĺ",
+      "Ġj ó",
+      "( tol",
+      "(t ol",
+      "(to l",
+      "( JS",
+      "(J S",
+      "ĉ CG",
+      "ĉC G",
+      "Ġ DRAW",
+      "ĠD RAW",
+      "ĠDR AW",
+      "t wig",
+      "tw ig",
+      "Ġo at",
+      "Ġoa t",
+      "_ smooth",
+      "_sm ooth",
+      "ĠC SL",
+      "ĠCS L",
+      "Ġo sob",
+      "Ġos ob",
+      "Ġens uing",
+      "Ġb anker",
+      "Ġbank er",
+      "Ġban ker",
+      "ĠBack pack",
+      "_ ping",
+      "_p ing",
+      "_pin g",
+      "_pi ng",
+      "Ġ wishlist",
+      "Ġw ishlist",
+      "Ġwish list",
+      "= ax",
+      "=a x",
+      "ĉ ĠĠĠĊ",
+      "ĉĠĠĠ Ċ",
+      "ĉĠ ĠĠĊ",
+      "ĉĠĠ ĠĊ",
+      "Dis ney",
+      "ste ady",
+      "stead y",
+      "\" >%",
+      "\"> %",
+      "Ġproph ets",
+      "Ġprophet s",
+      "Ġ ZX",
+      "ĠZ X",
+      "Ġminimal ist",
+      "Ġminim alist",
+      ". PLAIN",
+      ".PL AIN",
+      "Se attle",
+      "Seat tle",
+      ". ordinal",
+      "Ġ PIPE",
+      "ĠPI PE",
+      "Ġret orna",
+      "Ġretorn a",
+      "Ġj ugador",
+      "Ġjug ador",
+      "ĠB ret",
+      "ĠBr et",
+      "ĠBre t",
+      "ĠâĶ ľ",
+      "Ġp lush",
+      "Ġpl ush",
+      "Ġplus h",
+      "Ġplu sh",
+      "UL ATOR",
+      "ULA TOR",
+      "S orting",
+      "Sort ing",
+      ".grid y",
+      ".gr idy",
+      "ect omy",
+      "_ activ",
+      "_ac tiv",
+      "_act iv",
+      "r ack",
+      "ra ck",
+      "rac k",
+      "Inter active",
+      "ĠAntar ctica",
+      "ĠAntarctic a",
+      "Ġv engeance",
+      "en so",
+      "ens o",
+      "_ known",
+      "_k nown",
+      "up plier",
+      "upp lier",
+      ". Modules",
+      ".Mod ules",
+      ".Module s",
+      "ĠConnection State",
+      "éļ IJèĹı",
+      "éļIJ èĹı",
+      "@ FindBy",
+      "Ġ placer",
+      "Ġpl acer",
+      "Ġplace r",
+      "Ġplac er",
+      "Ġpla cer",
+      "\\ model",
+      "< ()>",
+      "<( )>",
+      ".is Successful",
+      ".isSuccess ful",
+      "- good",
+      "-g ood",
+      "-go od",
+      "b z",
+      "ĠDr aco",
+      "ĠDra co",
+      "Ass istant",
+      "- extra",
+      "-ex tra",
+      "-ext ra",
+      "аб лиÑĨ",
+      "Ġhyp ocrisy",
+      "Ġt st",
+      "Ġts t",
+      "ĠA gr",
+      "ĠAg r",
+      "$ txt",
+      "$t xt",
+      "Ġlog istic",
+      "l icensed",
+      "lic ensed",
+      "license d",
+      "ĠH of",
+      "ĠHo f",
+      "Ġ tat",
+      "Ġt at",
+      "Ġta t",
+      "( iv",
+      "(i v",
+      "Ġint oxic",
+      "Ġinto xic",
+      "Ġintox ic",
+      "post Id",
+      "_ strike",
+      "_st rike",
+      "_str ike",
+      "Ġhum iliation",
+      "Ġhumili ation",
+      "p codes",
+      "pc odes",
+      "\" sync",
+      "\"s ync",
+      "( recipe",
+      "(rec ipe",
+      "+ N",
+      "r ente",
+      "re nte",
+      "ren te",
+      "rent e",
+      "ĉ Client",
+      "ĉC lient",
+      "ycop g",
+      "ĠZur ich",
+      "ĠZu rich",
+      "Ġ Profiles",
+      "ĠPro files",
+      "ĠProf iles",
+      "ĠProfile s",
+      "C ountries",
+      "Count ries",
+      "Ġp ict",
+      "Ġpi ct",
+      "Ġpic t",
+      "Ġroll out",
+      "requ encies",
+      "Ġp atched",
+      "Ġpat ched",
+      "Ġpatch ed",
+      "Ġcar tridges",
+      "Ġcartridge s",
+      "Ġsh ading",
+      "Ġsha ding",
+      "J ar",
+      "Ja r",
+      "Ġsalv age",
+      "ĠT axes",
+      "ĠTax es",
+      "ĠTa xes",
+      "Ġstand by",
+      "ap oran",
+      "apor an",
+      "apo ran",
+      "E igen",
+      ". angular",
+      "Ġ Nested",
+      "ĠN ested",
+      "ĠNe sted",
+      "ĠNest ed",
+      "ĠNes ted",
+      "ä º«",
+      "äº «",
+      "Ġ isVisible",
+      "Ġis Visible",
+      "ĠDw ight",
+      "_BR ANCH",
+      ". Delay",
+      ".D elay",
+      ".De lay",
+      "Ġk end",
+      "Ġke nd",
+      "Ġken d",
+      "Ġfacilit ated",
+      "Ġfacilitate d",
+      "Ġfacil itated",
+      ". flatMap",
+      ".flat Map",
+      "Ġs anta",
+      "Ġsan ta",
+      "Ġsant a",
+      "ĉ Send",
+      "ĉS end",
+      "/ messages",
+      "/m essages",
+      "/message s",
+      "Ġof Type",
+      "ĉ swap",
+      "ĉs wap",
+      "ĉsw ap",
+      "# plt",
+      "ĠTur ks",
+      "ĠTurk s",
+      "N ES",
+      "NE S",
+      "Ġprogress ively",
+      "Ġprogressive ly",
+      "ĠRes idence",
+      "Ġ TREE",
+      "ĠT REE",
+      "ĠTR EE",
+      "ĠTRE E",
+      "Ġn oen",
+      "Ġno en",
+      "Ġnoe n",
+      "d io",
+      "di o",
+      "Ġ nelle",
+      "Ġn elle",
+      "Ġne lle",
+      "Ġnel le",
+      "Ġnell e",
+      "Ġso gar",
+      "Ġsog ar",
+      "i tti",
+      "it ti",
+      "itt i",
+      "week ly",
+      "Ġambigu ity",
+      "_ Settings",
+      "_S ettings",
+      "_Set tings",
+      "W are",
+      "War e",
+      "Wa re",
+      ". neo",
+      ".n eo",
+      ".ne o",
+      "_ DST",
+      "_D ST",
+      "_DS T",
+      "Ġ æĸ¹",
+      "Ġæĸ ¹",
+      "p rep",
+      "pr ep",
+      "pre p",
+      "l obby",
+      "lob by",
+      "@ email",
+      "/ movie",
+      "/m ovie",
+      "Ġfun kc",
+      "Ġfunk c",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "ÂŃ s",
+      "Ġguard ians",
+      "Ġguardian s",
+      "- pos",
+      "-p os",
+      "-po s",
+      "Ġconfig uring",
+      "Ġconfigur ing",
+      "ĠC PS",
+      "ĠCP S",
+      "ĠD eus",
+      "ĠDe us",
+      "Ġvidé os",
+      "Ġvidéo s",
+      "_ empresa",
+      "_emp resa",
+      "Ġsl apped",
+      "Ġsla pped",
+      "Ġslap ped",
+      "< Model",
+      "<M odel",
+      "Ġunder scores",
+      "Ġunders cores",
+      "Ġunderscore s",
+      "U h",
+      ". accessToken",
+      ".access Token",
+      "S ETS",
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+      "Ġleve ling",
+      "Ġsplit ter",
+      "Ġspl itter",
+      "_ geom",
+      "_ge om",
+      "_geo m",
+      "Ġprominent ly",
+      "Ġpromin ently",
+      "ĠSe eds",
+      "ĠSee ds",
+      "ĠSeed s",
+      "åľ Ł",
+      "u ais",
+      "ua is",
+      "uai s",
+      "e fully",
+      "ef ully",
+      "eful ly",
+      "I Enumerable",
+      "a dds",
+      "ad ds",
+      "add s",
+      "vers ations",
+      "versation s",
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+      "Ġdisable s",
+      "AND ROID",
+      "ĠWe iter",
+      "ĠWei ter",
+      "_ Format",
+      "_Form at",
+      "_For mat",
+      "_s plits",
+      "_split s",
+      "ĠActive Support",
+      "( css",
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+      "(cs s",
+      "_ micro",
+      "_m icro",
+      "_mi cro",
+      "st rike",
+      "str ike",
+      "stri ke",
+      "ĠC auses",
+      "ĠCa uses",
+      "ĠCause s",
+      "Ġvis ibly",
+      "Cancel able",
+      "ĠY osh",
+      "ĠYo sh",
+      "Ġdr aining",
+      "Ġdrain ing",
+      "Ġdra ining",
+      "Ġ coli",
+      "Ġc oli",
+      "Ġco li",
+      "Ġcol i",
+      "as ley",
+      "asl ey",
+      "ĠRespons ibilities",
+      "ĠS utton",
+      "* this",
+      "*t his",
+      "Sh ares",
+      "Share s",
+      "Shar es",
+      "Sha res",
+      "- graph",
+      "-g raph",
+      "-gr aph",
+      "Ġenlarg ed",
+      "Ġenlarge d",
+      "R outine",
+      "Ġframe buffer",
+      "Ġair flow",
+      "Ġ trx",
+      "Ġt rx",
+      "Ġtr x",
+      "ĠLe igh",
+      "ĠLei gh",
+      "ĠK ens",
+      "ĠKe ns",
+      "ĠKen s",
+      "( heap",
+      "Ġsp illed",
+      "Ġspill ed",
+      "S CALL",
+      "SC ALL",
+      "ĠVel vet",
+      "act ually",
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+      "_ENCOD ING",
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+      "ĠWo rm",
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+      ")) }Ċ",
+      "ĠDanger ous",
+      "Ġsuper intendent",
+      ". look",
+      ".l ook",
+      ".lo ok",
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+      "Ġsh el",
+      "Ġshe l",
+      "/ fs",
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+      "S afety",
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+      ".DE FINE",
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+      "_fac tors",
+      "_fact ors",
+      "_fa ctors",
+      "Ġpart ido",
+      "Ġparti do",
+      "Ġoptim izing",
+      "Double Click",
+      "- commercial",
+      "-com mercial",
+      "-comm ercial",
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+      "Ġlogic ally",
+      "Ġlogical ly",
+      "c ych",
+      "cy ch",
+      "u rve",
+      "ur ve",
+      "urv e",
+      "Â µ",
+      "AIL Y",
+      "AI LY",
+      "Ġre acting",
+      "Ġreact ing",
+      "_ EXPR",
+      "_EX PR",
+      "_EXP R",
+      "k ö",
+      ".localized Description",
+      "Ġast ounding",
+      "Ġpast ry",
+      "Ġpas try",
+      "Ġpa stry",
+      "Ġgloss y",
+      "Ġbeh aves",
+      "Ġbehave s",
+      "/ ec",
+      "/e c",
+      "Ġcl ipped",
+      "Ġclip ped",
+      "Ġcli pped",
+      "Ġprow ess",
+      "Ġ UB",
+      "ĠU B",
+      "/* ------------------------------------------------",
+      "ĉ alpha",
+      "ĉal pha",
+      "Ġextrav ag",
+      "Ġfin ns",
+      "( Socket",
+      "(S ocket",
+      "Ġ Unsafe",
+      "ĠUn safe",
+      "ĠUns afe",
+      "Ġqu iere",
+      "Ġqui ere",
+      "_ encoded",
+      "_en coded",
+      "_encode d",
+      "_enc oded",
+      "olum bia",
+      "Ġz ab",
+      "Ġza b",
+      "str icted",
+      "strict ed",
+      "Ġm nie",
+      "Ġmn ie",
+      "ĠM OS",
+      "ĠMO S",
+      "Ġath letics",
+      "Ġathletic s",
+      "ĠKend all",
+      "Ġ ìĺ¤",
+      "Ġìĺ ¤",
+      "AV AILABLE",
+      "i nox",
+      "in ox",
+      "ino x",
+      "_O PCODE",
+      "_OP CODE",
+      "Ġ ItemType",
+      "ĠItem Type",
+      "Ġcent rif",
+      "Ġcentr if",
+      "Ġinter state",
+      "_ books",
+      "_b ooks",
+      "_book s",
+      "_bo oks",
+      ". delivery",
+      ".d elivery",
+      ".del ivery",
+      "ĠL iste",
+      "ĠList e",
+      "ĠLi ste",
+      "ĠLis te",
+      "or si",
+      "ors i",
+      "_ secure",
+      "_s ecure",
+      "_sec ure",
+      "g rowth",
+      "grow th",
+      "Ġv ente",
+      "Ġve nte",
+      "Ġvent e",
+      "Ġven te",
+      "Ġpsych ologists",
+      "Ġpsychologist s",
+      "ĠC CS",
+      "ĠCC S",
+      "ud ence",
+      "ude nce",
+      "uden ce",
+      "Ġ crawler",
+      "Ġc rawler",
+      "Ġcraw ler",
+      "Ġcrawl er",
+      "/ manual",
+      "/man ual",
+      "Ġtext Style",
+      "Ġpal indrome",
+      "Ġconduct s",
+      "Ġconduc ts",
+      "Ġcondu cts",
+      "t abl",
+      "ta bl",
+      "tab l",
+      "With URL",
+      "/ right",
+      "/r ight",
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+      "ĠDr a",
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+      ".M ail",
+      ".Ma il",
+      "( sec",
+      "(s ec",
+      "(se c",
+      "o ftware",
+      "oft ware",
+      "Ġse ul",
+      "Ġseu l",
+      "Ġwrink les",
+      "_ FW",
+      "_F W",
+      "A y",
+      "ĠEr nst",
+      "un bind",
+      "Ġ commend",
+      "Ġcomm end",
+      "Ġcomme nd",
+      "_ hooks",
+      "_h ooks",
+      "_hook s",
+      "ĠMon etary",
+      "Ġ QQ",
+      "ĠQ Q",
+      "unit OfWork",
+      "Ġ EntityType",
+      "ĠEntity Type",
+      "Ġhorm onal",
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+      ".F AIL",
+      "@ Slf",
+      "/ channel",
+      "/ch annel",
+      "s ono",
+      "so no",
+      "son o",
+      "D ans",
+      "Da ns",
+      "Dan s",
+      "_ Register",
+      "_Reg ister",
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+      "Ha n",
+      "O RB",
+      "OR B",
+      "JKLM NOP",
+      "v ented",
+      "vent ed",
+      "ven ted",
+      "Ġlong standing",
+      "Ġbg Color",
+      "Ġ ;)",
+      "Ġ; )",
+      "ĠRob bie",
+      "ĠRo bbie",
+      "( \".\"",
+      "(\" .\"",
+      "(\". \"",
+      "Ġa just",
+      "Ġaj ust",
+      ".handle Click",
+      "r atings",
+      "ra tings",
+      "rat ings",
+      "rating s",
+      "p ter",
+      "pt er",
+      "pte r",
+      "Ġerot ico",
+      "Ġerotic o",
+      "ĠJ elly",
+      "* *****čĊ",
+      "**** **čĊ",
+      "****** čĊ",
+      "***** *čĊ",
+      ".Does NotExist",
+      "ĉ be",
+      "ĉb e",
+      "$ temp",
+      "$t emp",
+      "\"> &#",
+      "\">& #",
+      "çĽ ´",
+      "ĉ Public",
+      "ĉP ublic",
+      "Ŀ ì²´",
+      "ĠBuild ings",
+      "ĠBuilding s",
+      "- alone",
+      "-al one",
+      ", '\\",
+      ",' \\",
+      "Ġsw aps",
+      "Ġswap s",
+      "Ġper plex",
+      "_ processors",
+      "_process ors",
+      "_processor s",
+      "Ġд в",
+      "ĠN YPD",
+      "ĠNY PD",
+      "P CR",
+      "PC R",
+      "æ¯ ı",
+      "Ġh oje",
+      "Ġho je",
+      "Edit Mode",
+      "Ġvul gar",
+      "Ġv erde",
+      "Ġver de",
+      "Ġverd e",
+      "Ġ ()=>{Ċ",
+      "Ġ( )=>{Ċ",
+      "Ġ() =>{Ċ",
+      "Ġ()=> {Ċ",
+      "/ frontend",
+      "/front end",
+      "Ġ telefone",
+      "Ġtele fone",
+      "Ġtelefon e",
+      "Ġlan tern",
+      ".page X",
+      "ĠD ud",
+      "ĠDu d",
+      "lim itations",
+      "limit ations",
+      "Ġnot ifier",
+      "Ġ Messaging",
+      "ĠM essaging",
+      "ĠMess aging",
+      "! important",
+      "Ġsurge ons",
+      "Ġsurgeon s",
+      ") =(",
+      ")= (",
+      "Fixed Size",
+      ". Zoom",
+      ".Z oom",
+      "i nan",
+      "in an",
+      "ina n",
+      "Ġ creds",
+      "Ġc reds",
+      "Ġcr eds",
+      "Ġcre ds",
+      "Ġcred s",
+      "Ġ BUF",
+      "ĠB UF",
+      "ĠBU F",
+      ". StackTrace",
+      ".Stack Trace",
+      "Ġwarrant ed",
+      "Ġs ourcing",
+      "Ġsour cing",
+      "Ġc onna",
+      "Ġcon na",
+      "Ġconn a",
+      "_F RE",
+      "_FR E",
+      "Ġw oll",
+      "Ġwo ll",
+      "Ġwol l",
+      "Ġref ining",
+      "Ġrefin ing",
+      "_ALLOW ED",
+      "_ mv",
+      "_m v",
+      "ĠW orce",
+      "ĠWor ce",
+      "ĠSin clair",
+      "Check sum",
+      "Checks um",
+      "Ġun locks",
+      "Ġunlock s",
+      "Ġunl ocks",
+      "Ġ Markdown",
+      "ĠMark down",
+      "Ġfish ermen",
+      "D ub",
+      "Du b",
+      "ĠBon nie",
+      "ĠĠĠĠ ĠĠĠĠĉĊ",
+      "ĠĠĠĠĠĠĠĠ ĉĊ",
+      "ĠĠĠĠĠĠĠ ĠĉĊ",
+      "ĠĠĠĠĠĠ ĠĠĉĊ",
+      "ĠĠĠĠĠĠĠĠĉ Ċ",
+      "Ġver z",
+      "Ġve rz",
+      "> ,</",
+      ">, </",
+      "> <![",
+      ">< ![",
+      "[' <{",
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+      "ĠEr g",
+      "r ather",
+      "ra ther",
+      "rat her",
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+      "Ġpalabra s",
+      "ĠP ACKET",
+      "ĠPA CKET",
+      "ĠPACK ET",
+      "m ise",
+      "mi se",
+      "mis e",
+      "d aq",
+      "da q",
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+      "ĠF ot",
+      "ĠFo t",
+      "ĠD uo",
+      "ĠDu o",
+      "Ġ NES",
+      "ĠN ES",
+      "ĠNE S",
+      "Ġs alsa",
+      "Ġsa lsa",
+      "Ġsal sa",
+      "Ġun biased",
+      "@Spring BootTest",
+      "Ġ offs",
+      "Ġof fs",
+      "Ġoff s",
+      "åħ¬ åı¸",
+      "Ġa mounted",
+      "Ġamount ed",
+      "Ġamo unted",
+      "Full Path",
+      "Ġ quat",
+      "Ġqu at",
+      "Ġq uat",
+      "Ġqua t",
+      "Ġma iden",
+      "Ġmai den",
+      "Ġmaid en",
+      "Ġ Subset",
+      "ĠSub set",
+      "ĠApplication DbContext",
+      "m irror",
+      "mi rror",
+      "mir ror",
+      "n ex",
+      "ne x",
+      ". street",
+      ".st reet",
+      "set Query",
+      "$ results",
+      "$result s",
+      "$res ults",
+      "ad ero",
+      "ader o",
+      "ade ro",
+      "gr essor",
+      "gress or",
+      "_ bug",
+      "_b ug",
+      "is ser",
+      "iss er",
+      "isse r",
+      "ĠS ears",
+      "ĠSe ars",
+      "ĠSea rs",
+      "Ġfill Color",
+      ".m asks",
+      ".mas ks",
+      ".mask s",
+      "ĠDi ablo",
+      "ĠDia blo",
+      "_ ANDROID",
+      "_AND ROID",
+      "Ðŀ б",
+      "Ġfre aking",
+      "Ġfreak ing",
+      "Ġrin se",
+      "Ġrins e",
+      "( pkt",
+      "(p kt",
+      "(pk t",
+      "Ġbook let",
+      "Ġsanct ioned",
+      "Ġsanction ed",
+      "Ġstream ed",
+      "Ġstre amed",
+      "tab panel",
+      "Ġ Returning",
+      "ĠReturn ing",
+      "ĠRet urning",
+      "Plain Text",
+      "LOY EE",
+      "ales ce",
+      "о ка",
+      "ок а",
+      "Ġ Fixture",
+      "ĠF ixture",
+      "ĠFix ture",
+      "ass adors",
+      "assador s",
+      "Ġdis belief",
+      "ĠL ust",
+      "ĠLu st",
+      "Ġrad icals",
+      "Ġradical s",
+      ". Features",
+      ".F eatures",
+      ".Feature s",
+      "_in ches",
+      "_inc hes",
+      "( primary",
+      "(pr imary",
+      "ĠJ MenuItem",
+      "_ take",
+      "_t ake",
+      "_ta ke",
+      "ĠC oke",
+      "ĠCo ke",
+      "Unit OfWork",
+      "ĠW CHAR",
+      "Ġcon scient",
+      "Ġcons cient",
+      "Ġconsc ient",
+      "one number",
+      "onen umber",
+      "P ING",
+      "PI NG",
+      "PIN G",
+      "ab ajo",
+      "aba jo",
+      "abaj o",
+      "] (\"",
+      "]( \"",
+      ". sales",
+      ".s ales",
+      ".sa les",
+      ".sal es",
+      ".sale s",
+      "_ here",
+      "_h ere",
+      "_he re",
+      "Ġoffset X",
+      "tag Name",
+      "Ġ ÙĬ",
+      "ĠÙ Ĭ",
+      "_ Right",
+      "_R ight",
+      "i lig",
+      "il ig",
+      "ili g",
+      "the Value",
+      "o card",
+      "oc ard",
+      "oca rd",
+      "Ġconsult ancy",
+      "Ġconsulta ncy",
+      "Ġb lij",
+      "Ġbl ij",
+      "Ġbli j",
+      "g orm",
+      "go rm",
+      "gor m",
+      "N avigate",
+      "Nav igate",
+      "Navig ate",
+      "ı c",
+      "Il legalArgumentException",
+      "Illegal ArgumentException",
+      "_ ve",
+      "_v e",
+      ". CONTENT",
+      ".CONT ENT",
+      "urope an",
+      ". radio",
+      ".r adio",
+      ".rad io",
+      ".ra dio",
+      "Ġenvision ed",
+      "Ġenvis ioned",
+      "ĠS OM",
+      "ĠSO M",
+      ". sd",
+      ".s d",
+      "ANT ITY",
+      "ANTI TY",
+      "ĠCALL BACK",
+      "Ġ hg",
+      "Ġh g",
+      "de crypt",
+      "dec rypt",
+      "ç® ±",
+      "\\ Queue",
+      "ĠMI LF",
+      "ĠMIL F",
+      "Ġrec urse",
+      "Ġrecurs e",
+      "Ġrecur se",
+      "ĠD ante",
+      "ĠDan te",
+      "ĠDa nte",
+      ". gamma",
+      ".g amma",
+      ".ga mma",
+      "or ks",
+      "ork s",
+      "(\" \"))Ċ",
+      "(\"\" ))Ċ",
+      "(\"\") )Ċ",
+      "(\"\")) Ċ",
+      "ĠG rim",
+      "ĠGr im",
+      "ĠGri m",
+      ".open g",
+      ".op eng",
+      ".o peng",
+      "ĠMich ele",
+      "ĠMichel e",
+      "ĠMiche le",
+      "An aly",
+      "Anal y",
+      "Ana ly",
+      "ĠP ru",
+      "ĠPr u",
+      "_red irected",
+      "_redirect ed",
+      "_ pal",
+      "_p al",
+      "_pa l",
+      "f allback",
+      "fall back",
+      "Ġ åŃĹ",
+      "ĠåŃ Ĺ",
+      "Ġdin ners",
+      "Ġdinner s",
+      "G enerating",
+      "Gener ating",
+      "Gene rating",
+      "$ \",",
+      "$\" ,",
+      "hist oric",
+      "histor ic",
+      "get SimpleName",
+      "ĠM illions",
+      "ĠMill ions",
+      "ĠMillion s",
+      "ĠMilli ons",
+      "- global",
+      "-g lobal",
+      "r outing",
+      "ro uting",
+      "rou ting",
+      "Ġconsolid ate",
+      "Ġre coil",
+      "Ġrec oil",
+      "Ġreco il",
+      "Object OfType",
+      "Ġdes peration",
+      "Ġdesper ation",
+      "Ġdesp eration",
+      "Any where",
+      "Ġ getModel",
+      "Ġget Model",
+      "_ kill",
+      "_k ill",
+      "o book",
+      "ob ook",
+      "obo ok",
+      "/ display",
+      "/d isplay",
+      "/dis play",
+      "\" />ĊĊ",
+      "\"/ >ĊĊ",
+      "\"/>Ċ Ċ",
+      "\"/> ĊĊ",
+      "Ġm ayo",
+      "Ġmay o",
+      "Ġma yo",
+      "ĠÑģ пиÑģок",
+      "ĠÑģпиÑģ ок",
+      "Ġgo alie",
+      "Ġgoal ie",
+      "x DF",
+      "xD F",
+      "ĠPre paration",
+      "Ġdepend able",
+      ". INVALID",
+      ".IN VALID",
+      ". ..'",
+      ".. .'",
+      "... '",
+      "n atal",
+      "na tal",
+      "nat al",
+      "module Name",
+      "c arbon",
+      "car bon",
+      "P AL",
+      "PA L",
+      "Ġm ee",
+      "Ġme e",
+      "Ġc asing",
+      "Ġca sing",
+      "Ġcas ing",
+      "Ġcasi ng",
+      "项 缮",
+      "n icas",
+      "ni cas",
+      "nic as",
+      "ĠH amm",
+      "ĠHam m",
+      "ĠHa mm",
+      "ĠB abe",
+      "ĠBa be",
+      "ĠBab e",
+      "ow ane",
+      "owa ne",
+      "owan e",
+      "Ġsyn onym",
+      "ĠQ in",
+      "ĠQi n",
+      "i oc",
+      "io c",
+      "e motion",
+      "em otion",
+      "emo tion",
+      "Ġfer mentation",
+      "Ġferment ation",
+      "Ġcu mpl",
+      "Ġcum pl",
+      "ĠElectric ity",
+      "( ROOT",
+      "(R OOT",
+      "t ester",
+      "te ster",
+      "test er",
+      "tes ter",
+      "teste r",
+      "ĠH usband",
+      "ĠHus band",
+      "ĠB au",
+      "ĠBa u",
+      "_MAC RO",
+      "a kening",
+      "ak ening",
+      "ake ning",
+      "aken ing",
+      "ĠĠĠĠĠĠĠĠ ĊĠĠĠĠĠĠĠĠĊĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĊ ĠĠĠĠĠĠĠĠĊĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĊĠĠĠĠĠĠĠĠĊ ĠĠĠĠĠĠĠĠĊ",
+      ". fin",
+      ".f in",
+      ".fi n",
+      "ĠConf idential",
+      "i ez",
+      "ie z",
+      "M BER",
+      "MB ER",
+      "Ġsperm a",
+      "Ġsper ma",
+      "ĠH PV",
+      "ĠHP V",
+      "t xn",
+      "tx n",
+      "CONT ACT",
+      ". Throw",
+      ".Th row",
+      "Ġm ural",
+      "Ġmur al",
+      "Ġmu ral",
+      "ĠTw ist",
+      "(& ___",
+      "(&_ __",
+      "Ġ jd",
+      "Ġj d",
+      "Ġempower ment",
+      "Ġdist int",
+      "Ġbomb ings",
+      "Ġbombing s",
+      "Out come",
+      "Ġshort en",
+      "å¾ Į",
+      "AC COUNT",
+      "ACC OUNT",
+      "_ coverage",
+      "_co verage",
+      "_cover age",
+      "en co",
+      "enc o",
+      "_ refer",
+      "_re fer",
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+      "Ġcha st",
+      "Ġ ......",
+      "Ġ. .....",
+      "Ġ... ...",
+      "Ġ.. ....",
+      "Ġ.... ..",
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+      "Ġcom enz",
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+      "ĠAsi ans",
+      "ĠA MC",
+      "ĠAM C",
+      "i select",
+      "is elect",
+      "ise lect",
+      "isel ect",
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+      "(f r",
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+      "Ġimportant es",
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+      "Ġcyl inders",
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+      "ie nie",
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+      "_OW NER",
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+      "oca tor",
+      "es sian",
+      "ess ian",
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+      "Ġintoler ance",
+      "ÅĤ em",
+      "ÅĤe m",
+      "Ġ Semantic",
+      "ĠSem antic",
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+      "A REST",
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+      "ĠIke a",
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+      "Ġfil tro",
+      "Ġfiltr o",
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+      "(pro b",
+      "(pr ob",
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+      ".opt imize",
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+      "Ġres posta",
+      "Ġresp osta",
+      "Ġb ead",
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+      "ĉĉĉĉĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĉĉĉĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĉĉĉĉĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĉĉĉĉĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĉĉĉĉĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĉĉĉĉĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĉĉĉĉĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "product os",
+      "producto s",
+      "Ġfl yer",
+      "Ġfly er",
+      "Ġ Grupo",
+      "ĠGr upo",
+      "N ickname",
+      "Nick name",
+      "H ier",
+      "Hi er",
+      "ĠD EA",
+      "ĠDE A",
+      "S prites",
+      "Sp rites",
+      "Sprite s",
+      "Spr ites",
+      "ĉ mask",
+      "ĉm ask",
+      "_ reserved",
+      "_res erved",
+      "_reserve d",
+      "- shop",
+      "-s hop",
+      "-sh op",
+      ". notifications",
+      ".not ifications",
+      ".notification s",
+      "Ġdi visible",
+      "Ġdiv isible",
+      "Ġdivis ible",
+      "io sk",
+      "ios k",
+      "ker ja",
+      "in gt",
+      "ing t",
+      "ĠF ifty",
+      "ĠFif ty",
+      "ĠFi fty",
+      "Ġaccount ant",
+      "ĠExpl oration",
+      "_ broadcast",
+      "_b roadcast",
+      "Ġextraordin arily",
+      "Ġk ot",
+      "Ġko t",
+      "Ġcircum ference",
+      "r ouch",
+      "ro uch",
+      "rou ch",
+      "[ Boolean",
+      "c rawler",
+      "crawl er",
+      "/ remove",
+      "/re move",
+      "/rem ove",
+      "a rella",
+      "ar ella",
+      "are lla",
+      "arel la",
+      "Ġse xes",
+      "Ġsex es",
+      "Ġsexe s",
+      "H ints",
+      "Hi nts",
+      "Hint s",
+      "Ġg amb",
+      "Ġgam b",
+      "Ġga mb",
+      "Ġd ared",
+      "Ġda red",
+      "Ġdar ed",
+      "Ġdare d",
+      "t ested",
+      "te sted",
+      "test ed",
+      "tes ted",
+      "teste d",
+      "_ KEEP",
+      "_K EEP",
+      "Ġfiltr ation",
+      "Ġfilt ration",
+      "ic key",
+      "ick ey",
+      "ĠIn fluence",
+      "ĠInflu ence",
+      "Ġspecific ity",
+      "_ IDS",
+      "_ID S",
+      "_I DS",
+      "ĠRo dney",
+      "ĠRod ney",
+      "_IRQ Handler",
+      "On Error",
+      "Ġ prevState",
+      "Ġprev State",
+      "ie gel",
+      "ieg el",
+      "Ġ LESS",
+      "ĠL ESS",
+      "ĠLE SS",
+      "ĠLES S",
+      "Ġaw akeFromNib",
+      "Ġawake FromNib",
+      "Ġ LU",
+      "ĠL U",
+      "um ably",
+      "ort ality",
+      "ortal ity",
+      "Ġman dates",
+      "Ġmand ates",
+      "Ġmandate s",
+      "ĉ version",
+      "ĉv ersion",
+      "Ġ parentNode",
+      "Ġparent Node",
+      "Ġp ests",
+      "Ġpe sts",
+      "Ġpes ts",
+      "Ġpest s",
+      "Ġc asc",
+      "Ġca sc",
+      "Ġcas c",
+      "cept ar",
+      "cep tar",
+      "ĠWood y",
+      "ĠWo ody",
+      "ĠWoo dy",
+      "e ree",
+      "er ee",
+      "ere e",
+      "_ pf",
+      "_p f",
+      ". POS",
+      ".P OS",
+      ".PO S",
+      "i stra",
+      "is tra",
+      "ist ra",
+      "istr a",
+      "l ew",
+      "le w",
+      "Y ang",
+      "Ya ng",
+      "Ġsystem d",
+      "Ġsyst emd",
+      "Ġro am",
+      ". Gray",
+      ".G ray",
+      ".Gr ay",
+      "Ġcon du",
+      "Ġcond u",
+      "âĢĶ including",
+      "âĢĶin cluding",
+      "Vi olation",
+      "Viol ation",
+      "Ma hon",
+      "Mah on",
+      "ĠM USIC",
+      "ĠS iri",
+      "ĠSi ri",
+      "ĠSir i",
+      "Ġ Entered",
+      "ĠEn tered",
+      "ĠEnt ered",
+      "ĠEnter ed",
+      "Ġcert ains",
+      "Ġcertain s",
+      "Ġcer tains",
+      "e lah",
+      "el ah",
+      "ela h",
+      "ĉ Main",
+      "ĉM ain",
+      ".Date Field",
+      ". Health",
+      ".He alth",
+      "ĠKas ich",
+      "Ġc anine",
+      "Ġcan ine",
+      "Ġca nine",
+      "= root",
+      "=r oot",
+      "ud dle",
+      "udd le",
+      "\\ common",
+      "ĠS ultan",
+      "ĠSul tan",
+      "fin ancial",
+      "ĠQ Sql",
+      "ĠQS ql",
+      "Ġas cent",
+      "Ġasc ent",
+      "Ġpr ueba",
+      "zie hung",
+      ". getError",
+      ".get Error",
+      "ĠGl oria",
+      "ĠGlo ria",
+      "E cho",
+      "Ec ho",
+      "_CHO ICES",
+      "_ eps",
+      "_e ps",
+      "_ep s",
+      "/ provider",
+      "/pro vider",
+      "P HONE",
+      "PH ONE",
+      "åħ³ éĹŃ",
+      "Ġcomprom ising",
+      "_APP RO",
+      "_AP PRO",
+      "Process Event",
+      "Ġbyte Array",
+      "ĠC ruc",
+      "ĠCr uc",
+      "ĠCru c",
+      "Â ¨",
+      "Ġ icing",
+      "Ġi cing",
+      "Ġic ing",
+      "Ġici ng",
+      "Ġ PCM",
+      "ĠP CM",
+      "ĠPC M",
+      "v ect",
+      "ve ct",
+      "vec t",
+      "A my",
+      "Am y",
+      "ĠVac uum",
+      "inc ident",
+      "inci dent",
+      "Ġus ern",
+      "Ġuse rn",
+      "Ġuser n",
+      "z bek",
+      "zb ek",
+      "] +)/",
+      "]+ )/",
+      "Ġ}} \"><",
+      "Ġ}}\" ><",
+      "Ġ}}\"> <",
+      "Ġ GetData",
+      "ĠGet Data",
+      "c ntl",
+      "cn tl",
+      "cnt l",
+      "Ġs agt",
+      "Ġsa gt",
+      "Ġsag t",
+      "_ PRIMARY",
+      "_PR IMARY",
+      "_PRI MARY",
+      "Ġ ler",
+      "Ġl er",
+      "Ġle r",
+      "ĠF UCK",
+      "ĠFU CK",
+      "ĠSt arr",
+      "ĠStar r",
+      "ĠSta rr",
+      "I H",
+      "ör per",
+      "y ms",
+      "ym s",
+      "] )]Ċ",
+      "]) ]Ċ",
+      "])] Ċ",
+      "/ tool",
+      "/t ool",
+      "/to ol",
+      "comb ination",
+      "Ġt amp",
+      "Ġta mp",
+      "Ġtam p",
+      "ĠBe it",
+      "ĠBei t",
+      "ĠN IGHT",
+      "Ġ année",
+      "Ġann ée",
+      "( am",
+      "(a m",
+      "\\ Traits",
+      ": \\\"",
+      ":\\ \"",
+      "Ġc arga",
+      "Ġcar ga",
+      "Ġcarg a",
+      ". ide",
+      ".id e",
+      ".i de",
+      "Ġdi kke",
+      "Ġdik ke",
+      "Com pet",
+      "Comp et",
+      "Ġsc ooter",
+      "Ġsco oter",
+      "Ġx Pos",
+      "( interp",
+      "(int erp",
+      "(inter p",
+      "Ġ hasil",
+      "Ġh asil",
+      "Ġhas il",
+      "Ġha sil",
+      "c lid",
+      "cl id",
+      "cli d",
+      "Ġhe ures",
+      "Ġheure s",
+      "gl omer",
+      "sh ares",
+      "sha res",
+      "share s",
+      "ï¼Į ĊĊ",
+      "ï¼ĮĊ Ċ",
+      "p onde",
+      "pon de",
+      "pond e",
+      "po nde",
+      "Ạ£i",
+      "ả i",
+      "_d uplicates",
+      "_duplicate s",
+      "s ongs",
+      "son gs",
+      "song s",
+      "} ];Ċ",
+      "}] ;Ċ",
+      "ĠSn iper",
+      "ĠT hur",
+      "ĠTh ur",
+      "ĠThu r",
+      "r opp",
+      "ro pp",
+      "rop p",
+      "Ġgr ues",
+      "Ġ ores",
+      "Ġo res",
+      "Ġor es",
+      "Ġore s",
+      "u shima",
+      "ush ima",
+      "ushi ma",
+      "Ġus ability",
+      "éĴ Ł",
+      "/ member",
+      "/m ember",
+      "oldem ort",
+      "Is Active",
+      "Get Enumerator",
+      "m ux",
+      "mu x",
+      "WINDOW S",
+      "Negative Button",
+      "ภ³",
+      "- makers",
+      "-m akers",
+      "-maker s",
+      "-make rs",
+      "ãĤ¤ ãĥ³",
+      "ĠB erm",
+      "ĠBe rm",
+      "ĠBer m",
+      "By Example",
+      "ĠR ück",
+      "Sh ows",
+      "Show s",
+      "g hi",
+      "gh i",
+      "ĠIh rer",
+      "ĠIhr er",
+      "ĠIhre r",
+      "Ġ Crud",
+      "ĠC rud",
+      "ĠCr ud",
+      "ĠCru d",
+      "ch ef",
+      "che f",
+      "_ auc",
+      "_a uc",
+      "Ġap ós",
+      "an kan",
+      "ank an",
+      "anka n",
+      "ĠK DE",
+      "ĠKD E",
+      "IL LS",
+      "ILL S",
+      "Ġangl ais",
+      "- refresh",
+      "-re fresh",
+      "-ref resh",
+      "ĉ range",
+      "ĉr ange",
+      "x mm",
+      "xm m",
+      "( edges",
+      "(edge s",
+      "(ed ges",
+      "Ġapp el",
+      "Ġap pel",
+      "Ġappe l",
+      "\" ;}",
+      "\"; }",
+      "Ġ edi",
+      "Ġe di",
+      "Ġed i",
+      "Ġsw ollen",
+      "Ġswo llen",
+      "Ġbut cher",
+      "ic ides",
+      "ici des",
+      "icide s",
+      "h ound",
+      "ho und",
+      "hou nd",
+      "Ġ ^(",
+      "Ġ^ (",
+      "ĠE valu",
+      "ĠEv alu",
+      "ĠEva lu",
+      "ĠEval u",
+      "Ġkeyboard Type",
+      "S SID",
+      "SS ID",
+      "SSI D",
+      "ro bat",
+      "rob at",
+      "Ġ nik",
+      "Ġn ik",
+      "Ġni k",
+      "Ġstraw berries",
+      "\\ \"]",
+      "\\\" ]",
+      "n osis",
+      "no sis",
+      "nos is",
+      "M ED",
+      "ME D",
+      "ç Ī",
+      "äº Ķ",
+      "i max",
+      "im ax",
+      "ima x",
+      "\\ Annotation",
+      "Ġn uru",
+      "Ġnu ru",
+      "Ġnur u",
+      "Ġ Minimal",
+      "ĠMin imal",
+      "ĠMini mal",
+      "Ġ wordpress",
+      "Ġword press",
+      "Ġc older",
+      "Ġco lder",
+      "Ġcol der",
+      "Ġcold er",
+      "ĉ parse",
+      "ĉp arse",
+      "/ stretch",
+      "/st retch",
+      "æī §è¡Į",
+      "æī§ è¡Į",
+      "rom osome",
+      "romo some",
+      "D IM",
+      "DI M",
+      "Ġtent ative",
+      ":NS UTF",
+      ", img",
+      ",i mg",
+      "ĠM ATERIAL",
+      "ĠJet Brains",
+      "Legend ary",
+      "ĉstr ncpy",
+      "Ġ defs",
+      "Ġd efs",
+      "Ġde fs",
+      "Ġdef s",
+      "Number FormatException",
+      "Ġbyte code",
+      "Ġw issen",
+      "Ġwis sen",
+      "_ MORE",
+      "_M ORE",
+      "_MO RE",
+      "ł íĥĿ",
+      "łí ĥĿ",
+      "ĠC off",
+      "ĠCo ff",
+      ". Condition",
+      ".Con dition",
+      ".Cond ition",
+      "Ġdé part",
+      "Ġdép art",
+      "d sn",
+      "ds n",
+      "Ġparam etro",
+      "Ġpara metro",
+      "Ġparamet ro",
+      "\\ L",
+      ".nano Time",
+      "B OTTOM",
+      ". What",
+      ".W hat",
+      ".Wh at",
+      "ë Ħ",
+      "ĠD ix",
+      "ĠDi x",
+      "_ DA",
+      "_D A",
+      "( Container",
+      "a yar",
+      "ay ar",
+      "aya r",
+      "F lexible",
+      "Flex ible",
+      ".R aycast",
+      "ĠEd win",
+      "[ url",
+      "[u rl",
+      "Â Ĵ",
+      ".stroke Style",
+      "ĠP olynomial",
+      "ĠPol ynomial",
+      "il itating",
+      "ilit ating",
+      "ĠQ VBoxLayout",
+      "( rep",
+      "(r ep",
+      "(re p",
+      ". vn",
+      ".v n",
+      "- assets",
+      "-as sets",
+      "-ass ets",
+      "CH ASE",
+      "CHA SE",
+      "ĠEss entials",
+      "ĠEssential s",
+      "j ylland",
+      "Ġa xs",
+      "Ġax s",
+      "ĠT rem",
+      "ĠTr em",
+      "ĠTre m",
+      ".main loop",
+      "Ġ WINDOWS",
+      "ĠWINDOW S",
+      ". REQUEST",
+      ".RE QUEST",
+      "Ġre int",
+      "Ġrein t",
+      "ĠL ibre",
+      "ĠLib re",
+      "ĠLi bre",
+      "ch eon",
+      "che on",
+      "Ġgu err",
+      "ĉNdrFc Short",
+      ". softmax",
+      ".soft max",
+      "ĠA sus",
+      "ĠAs us",
+      "- score",
+      "-s core",
+      "-sc ore",
+      "ĠJO HN",
+      "> Status",
+      ">S tatus",
+      "> Edit",
+      ">E dit",
+      "ĠC ame",
+      "ĠCam e",
+      "ĠCa me",
+      "ĠA she",
+      "ĠAs he",
+      "ĠAsh e",
+      "_ using",
+      "_u sing",
+      "_us ing",
+      "ĠL one",
+      "ĠLo ne",
+      "ĠLon e",
+      "Ġ lesen",
+      "Ġl esen",
+      "Ġle sen",
+      "Ġles en",
+      "Ġrevers ing",
+      "Ġrever sing",
+      "ng rx",
+      "ngr x",
+      ". signature",
+      ".sign ature",
+      ".sig nature",
+      "-Ass ad",
+      "/ native",
+      "/n ative",
+      "_ ratings",
+      "_r atings",
+      "_rating s",
+      "_ra tings",
+      "_rat ings",
+      "Ġ nya",
+      "Ġn ya",
+      "Ġny a",
+      "Ġad idas",
+      "( optional",
+      "(opt ional",
+      "(option al",
+      "\" ](",
+      "\"] (",
+      "Ġrec urrence",
+      "Ġrecur rence",
+      "ĠB MP",
+      "ĠBM P",
+      "Ï Į",
+      "_ gp",
+      "_g p",
+      "\" >\\",
+      "\"> \\",
+      "_ wrong",
+      "_w rong",
+      "_wr ong",
+      "y ps",
+      "yp s",
+      ". Proxy",
+      ".Pro xy",
+      ".Pr oxy",
+      "_ UDP",
+      "_U DP",
+      "_UD P",
+      "Qt Core",
+      "Linked In",
+      "Ġc avern",
+      "Ġca vern",
+      "Ġcave rn",
+      "Ġcav ern",
+      "Ġsp écial",
+      "Ġspéc ial",
+      "_ wire",
+      "_w ire",
+      "Ġna nop",
+      "Ġnan op",
+      "Ġnano p",
+      ". ball",
+      ".b all",
+      ".ba ll",
+      "Ġ reducers",
+      "Ġre ducers",
+      "Ġredu cers",
+      "Ġreduce rs",
+      "Ġreducer s",
+      "Ġm ailed",
+      "Ġma iled",
+      "Ġmail ed",
+      "Ġmai led",
+      "d ong",
+      "do ng",
+      "don g",
+      "Ġop poses",
+      "Ġopp oses",
+      "Ġoppos es",
+      "Ġoppose s",
+      "ĠH anson",
+      "ĠHan son",
+      "ĠHans on",
+      "ĠS aturdays",
+      "ĠSaturday s",
+      "a comment",
+      "acom ment",
+      "_ MetaData",
+      "_Meta Data",
+      "ĠGal actic",
+      "ĠGala ctic",
+      "(\" /\")",
+      "(\"/ \")",
+      "ĠClean er",
+      "_ TERM",
+      "_T ERM",
+      "_TE RM",
+      "_TER M",
+      "Ġcl aro",
+      "Ġclar o",
+      "Ġcla ro",
+      ". OUT",
+      ".O UT",
+      "å® ¡",
+      "Ġs lik",
+      "Ġsl ik",
+      "Ġjed nak",
+      "Ġjedn ak",
+      "Ġjedna k",
+      "Handler Context",
+      "Ġir radi",
+      "Ġirr adi",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      ". tight",
+      ".t ight",
+      "B readcrumb",
+      "f rey",
+      "fr ey",
+      "fre y",
+      "Ġê° Ŀì²´",
+      "Ġê°Ŀ ì²´",
+      "l brace",
+      "lb race",
+      "LEG AL",
+      "- gun",
+      "-g un",
+      "ĠB logs",
+      "ĠBl ogs",
+      "ĠBlog s",
+      "ĠBlo gs",
+      "ĠShir ley",
+      "ĠP une",
+      "ĠPu ne",
+      "ĠPun e",
+      "urs ions",
+      "ursion s",
+      "Ġsub traction",
+      "Ġsubtract ion",
+      "Ġsubt raction",
+      "Ġ ***Ċ",
+      "Ġ* **Ċ",
+      "Ġ** *Ċ",
+      "Ġ*** Ċ",
+      "arm acy",
+      "arma cy",
+      "armac y",
+      "Ġs amt",
+      "Ġsa mt",
+      "Ġsam t",
+      "= \").",
+      "=\" ).",
+      "Ġper missible",
+      "( rd",
+      "(r d",
+      "ĠW ATER",
+      "ĠWA TER",
+      "Ġprofes ional",
+      "Ġhand book",
+      "Ġmo urning",
+      "Ġmourn ing",
+      "Ġmour ning",
+      "ar efa",
+      "are fa",
+      "Ġ asn",
+      "Ġa sn",
+      "Ġas n",
+      "i sex",
+      "is ex",
+      "ise x",
+      "Ġcont enu",
+      "Ġconten u",
+      "Ġconte nu",
+      "Ġ UNC",
+      "ĠU NC",
+      "ĠUN C",
+      ".get Price",
+      ".getP rice",
+      "ĠPump kin",
+      "/ ĊĊĊ",
+      "/Ċ ĊĊ",
+      "/ĊĊ Ċ",
+      "Ġcos ine",
+      "Ġn ied",
+      "Ġnie d",
+      "Ġni ed",
+      "ĠBr ake",
+      "ĠBra ke",
+      "Data URL",
+      "ĠDataGridView CellStyle",
+      "Ġ Returned",
+      "ĠRe turned",
+      "ĠReturn ed",
+      "e wood",
+      "ew ood",
+      "i qué",
+      "iqu é",
+      "iq ué",
+      "Ġble ak",
+      "Ġweb hook",
+      ". They",
+      ".T hey",
+      ".Th ey",
+      ".The y",
+      "a rb",
+      "ar b",
+      "LANG ADM",
+      "_ ordered",
+      "_order ed",
+      "_ord ered",
+      "Ġp rank",
+      "Ġpr ank",
+      "Ġpra nk",
+      ".New Request",
+      "Ġl iterals",
+      "Ġliter als",
+      "Ġlit erals",
+      "Ġliteral s",
+      "' }>Ċ",
+      "'} >Ċ",
+      "s erialized",
+      "ser ialized",
+      "serial ized",
+      "serialize d",
+      "k tor",
+      "kt or",
+      "( rx",
+      "(r x",
+      "Ġ getY",
+      "Ġget Y",
+      "ĉString Buffer",
+      "( slice",
+      "(s lice",
+      "(sl ice",
+      "r brace",
+      "rb race",
+      "em ento",
+      "ement o",
+      "emen to",
+      "Ġl anc",
+      "Ġla nc",
+      "Ġlan c",
+      "De ployment",
+      "Dep loyment",
+      "Deploy ment",
+      "Ġconcent rating",
+      "Ġconcentr ating",
+      "Sk etch",
+      "Ġbr ightly",
+      "Ġbright ly",
+      "Begin ning",
+      "ĠD ah",
+      "ĠDa h",
+      "T k",
+      "Ins ensitive",
+      "Ġs abe",
+      "Ġsa be",
+      "Ġsab e",
+      "( Module",
+      "(M odule",
+      "(Mod ule",
+      "Ġc edar",
+      "Ġce dar",
+      "_ continue",
+      "_cont inue",
+      "_contin ue",
+      "Ġwith Object",
+      "Ġcolumn a",
+      "Ġcolum na",
+      "ĠCal der",
+      "ĠCa lder",
+      "ĠCald er",
+      "Ġп ом",
+      "Ġпо м",
+      "_soft c",
+      "s haled",
+      "sh aled",
+      "shal ed",
+      "sha led",
+      "ert ation",
+      "erta tion",
+      "ĉ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      ":@\" \"",
+      ":@ \"\"",
+      "Ġfa çon",
+      "Ġfaç on",
+      "ust um",
+      "s tk",
+      "st k",
+      "_ CRC",
+      "_C RC",
+      "_CR C",
+      "o dzi",
+      "od zi",
+      "Ġasc end",
+      "f gang",
+      "fg ang",
+      "Ġpre fab",
+      "Ġpref ab",
+      "Ġfind et",
+      "Ġfin det",
+      "Ġfinde t",
+      ": '+",
+      ":' +",
+      "åįķ ä½į",
+      "umbled ore",
+      ". invalidate",
+      ".in validate",
+      ".invalid ate",
+      "Ġ toi",
+      "Ġt oi",
+      "Ġto i",
+      "ange picker",
+      "angep icker",
+      "_ AI",
+      "_A I",
+      "h il",
+      "hi l",
+      "S eat",
+      "Se at",
+      "Sea t",
+      "Ġp iston",
+      "Ġpi ston",
+      "Ġpist on",
+      "Ġpis ton",
+      "f ib",
+      "fi b",
+      "_blue print",
+      "ãĤ ¸",
+      "_ Record",
+      "_Re cord",
+      "r ets",
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+      "ret s",
+      "F ran",
+      "Fr an",
+      "Fra n",
+      "ĠC ait",
+      "ĠCa it",
+      "Ġp elic",
+      "Ġpe lic",
+      "Ġpel ic",
+      "Ġ dna",
+      "Ġd na",
+      "Ġdn a",
+      "Ġup dateTime",
+      "Ġupdate Time",
+      "Ġ/ ^[",
+      "Ġ/^ [",
+      "Ġrall ied",
+      "ĠH imal",
+      "ĠHim al",
+      "ĠHi mal",
+      "S SI",
+      "SS I",
+      "_ planes",
+      "_pl anes",
+      "_plan es",
+      "_plane s",
+      "ĠOut standing",
+      "Application Builder",
+      "st ud",
+      "stu d",
+      "_ locator",
+      "_l ocator",
+      "_loc ator",
+      "Ġabol ition",
+      "Ġ ($)",
+      "Ġ($ )",
+      "j erne",
+      "je rne",
+      "jer ne",
+      "Ġ AAC",
+      "ĠA AC",
+      "ĠAA C",
+      "/ windows",
+      "/w indows",
+      "/window s",
+      "- Cal",
+      "-C al",
+      "_SE CONDS",
+      "_SECOND S",
+      "Ġ' '}Ċ",
+      "Ġ'' }Ċ",
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+      "án y",
+      "Ġy ummy",
+      "Ġyum my",
+      "æīĭæľº åı·",
+      "ĠV GA",
+      "ĠVG A",
+      "i late",
+      "il ate",
+      "ila te",
+      "ĠSur veillance",
+      "ĉ Gtk",
+      "ĉG tk",
+      "ðŁ ĺ",
+      "Ġsh immer",
+      "Ġshim mer",
+      "altern ate",
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+      "-c over",
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+      "ĠIns ets",
+      "li jah",
+      "lij ah",
+      ": S",
+      "ĉ category",
+      "ĉc ategory",
+      "Ġf j",
+      "ÃŃ lia",
+      "ÃŃl ia",
+      "ĠM AD",
+      "ĠMA D",
+      "@ js",
+      "æ Ł",
+      "Ġp ooled",
+      "Ġpo oled",
+      "Ġpool ed",
+      "Ġpoo led",
+      "Ġtreat ies",
+      "ĠB ik",
+      "ĠBi k",
+      "ĠH azel",
+      "ĠHa zel",
+      "ĠHaz el",
+      "Al locate",
+      "All ocate",
+      "Alloc ate",
+      "Ġair planes",
+      "Ġairplane s",
+      "Ġser mon",
+      "Ġserm on",
+      "Ġ Positions",
+      "ĠPosition s",
+      "ĠPos itions",
+      "Ġ MAIL",
+      "ĠM AIL",
+      "ĠMA IL",
+      "St opping",
+      "Stop ping",
+      "av ored",
+      "avor ed",
+      "avo red",
+      "( Temp",
+      "(T emp",
+      "Ġche ats",
+      "Ġcheat s",
+      ". userID",
+      ".user ID",
+      "Ġp uta",
+      "Ġput a",
+      "Ġpu ta",
+      "- yyyy",
+      "-y yyy",
+      "Ui Thread",
+      "Ġ ofstream",
+      "Ġo fstream",
+      "Ġof stream",
+      "\\ Seeder",
+      "ĠC ottage",
+      "Ġ^ Ċ",
+      "Ġ ALTER",
+      "ĠAL TER",
+      "ĠALT ER",
+      "Ġquant ify",
+      "reib ung",
+      "rei bung",
+      "Ġnecess ities",
+      ".Local Date",
+      "Ġ æĹ¥",
+      "ĠæĹ ¥",
+      "p ictures",
+      "pic tures",
+      "picture s",
+      "Ġ crud",
+      "Ġc rud",
+      "Ġcr ud",
+      "Ġcru d",
+      "æľ ¨",
+      "Ġdown turn",
+      "Ġdownt urn",
+      "act oring",
+      "actor ing",
+      "ĠD erm",
+      "ĠDe rm",
+      "ĠDer m",
+      "Ġ estruct",
+      "Ġe struct",
+      "Ġestr uct",
+      "ĠMus ik",
+      "ĠMu sik",
+      "Ġ mlx",
+      "Ġm lx",
+      "Ġml x",
+      ". major",
+      ".m ajor",
+      ".Http Session",
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+      "y eah",
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+      "ĠUnity Editor",
+      "Ġr ake",
+      "Ġra ke",
+      "Ġrak e",
+      "_ tweet",
+      "_t weet",
+      "Ġr adioButton",
+      "Ġradio Button",
+      "ĠDom inion",
+      "ĠDomin ion",
+      "as String",
+      "o zy",
+      "oz y",
+      "Ġv odka",
+      "Ġvod ka",
+      "o glob",
+      "og lob",
+      "ogl ob",
+      "ĠAl umni",
+      "bal ances",
+      "balance s",
+      "_ manual",
+      "_man ual",
+      ".load txt",
+      "_ friends",
+      "_f riends",
+      "_friend s",
+      "ĠXml Document",
+      "[ first",
+      "[f irst",
+      "Key Code",
+      "Ġpo etic",
+      "Ġpoet ic",
+      "m ina",
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+      "mi na",
+      "Ġo pciones",
+      "Ġopc iones",
+      "Ġopcion es",
+      "æī ĵ",
+      "_ supplier",
+      "_s upplier",
+      "_sup plier",
+      "_supp lier",
+      ".From Result",
+      "_ district",
+      "_d istrict",
+      "_di strict",
+      "ĠG ala",
+      "ĠGal a",
+      "ĠGa la",
+      ". qt",
+      ".q t",
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+      "- anchor",
+      "-an chor",
+      "Ġy up",
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+      "Ġmax len",
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+      "Ġhyp not",
+      "_ WM",
+      "_W M",
+      "( )][",
+      "() ][",
+      "()] [",
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+      "ow ment",
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+      "(R andom",
+      "Ġve tor",
+      "Ġvet or",
+      "Ġveto r",
+      "Ġ IST",
+      "ĠI ST",
+      "ĠIS T",
+      "а нд",
+      "ан д",
+      "- lang",
+      "-l ang",
+      "-la ng",
+      "Ġ sik",
+      "Ġs ik",
+      "Ġsi k",
+      "cre asing",
+      "Ġport als",
+      "Ġportal s",
+      "Ġporta ls",
+      "ĠBull dogs",
+      "ĠBulld ogs",
+      "p romo",
+      "pr omo",
+      "pro mo",
+      "prom o",
+      "Ġprov oked",
+      "Ġprovoke d",
+      "] };Ċ",
+      "]} ;Ċ",
+      "ĠI bid",
+      "ĠIb id",
+      "er glass",
+      "erg lass",
+      "_W IFI",
+      "ap propri",
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+      "Ġredes igned",
+      "Ġredesign ed",
+      "Ġ //----------------",
+      "Ġ// ----------------",
+      "Ġ//-- --------------",
+      "Ġ//- ---------------",
+      "z ik",
+      "zi k",
+      "$ o",
+      "ul ton",
+      "ult on",
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+      "ĠRelative s",
+      "Ġ metros",
+      "Ġm etros",
+      "Ġmet ros",
+      "Ġmetro s",
+      "Ġment oring",
+      "Ġmentor ing",
+      "at Äĥ",
+      "ush man",
+      "Ġ inherits",
+      "Ġin herits",
+      "Ġinher its",
+      "Ġinherit s",
+      "ĠR t",
+      "/ preferences",
+      "/p references",
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+      "Ġa dept",
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+      "Ġade pt",
+      "ĠOff ensive",
+      "ĠA GRE",
+      "ĠAG RE",
+      "on ian",
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+      ". parsers",
+      ".p arsers",
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+      "Vis ited",
+      "Visit ed",
+      "Ġ getProperty",
+      "Ġget Property",
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+      "Ġ#- }ĊĊ",
+      "Ġ#-}Ċ Ċ",
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+      "Ġv eut",
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+      "ĠRevel ation",
+      "ĠReve lation",
+      "Ġrap ide",
+      "Ġrapid e",
+      "p unk",
+      "pu nk",
+      "pun k",
+      "# ----------------------------------------------------------------",
+      "Object Id",
+      "ab inet",
+      "abin et",
+      "abi net",
+      "extra comment",
+      "extr acomment",
+      "Ġb unny",
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+      "Ġ Deferred",
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+      "u ae",
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+      "bus ters",
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+      "G ST",
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+      ".Current Row",
+      "ãģ ij",
+      "Ġgrat uits",
+      "Ġgratuit s",
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+      "ĠTe nn",
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+      "j sc",
+      "js c",
+      "Ġ íķĦ",
+      "Ġíķ Ħ",
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+      "} ččĊ",
+      "ex pired",
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+      "Ġ XmlNode",
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+      "ĠTatto o",
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+      "F old",
+      "Fo ld",
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+      "_FILE NO",
+      "Ġcon co",
+      "Ġconc o",
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+      "o pies",
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+      "Ġcart a",
+      ". layouts",
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+      "Ġbes poke",
+      "Ġam ateurs",
+      "Ġamateur s",
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+      "it amin",
+      "ita min",
+      "Ġirres pective",
+      "Ġblack Color",
+      ". yahoo",
+      ".y ahoo",
+      "Ġwe ary",
+      "Ġwear y",
+      "Ġs weets",
+      "Ġsweet s",
+      "Ġswe ets",
+      "? \";Ċ",
+      "?\" ;Ċ",
+      "=\\\" %",
+      "=\\ \"%",
+      "_ workspace",
+      "_work space",
+      "ĠD iameter",
+      "ĠDia meter",
+      "Ġ amd",
+      "Ġa md",
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+      "ĠNe ue",
+      "ĠNeu e",
+      "Ġ dbName",
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+      "S CO",
+      "SC O",
+      "ĉ ĉĉĉĉĠĠĠĠĠĠ",
+      "ĉĉ ĉĉĉĠĠĠĠĠĠ",
+      "ĉĉĉĉ ĉĠĠĠĠĠĠ",
+      "ĉĉĉ ĉĉĠĠĠĠĠĠ",
+      "ĉĉĉĉĉ ĠĠĠĠĠĠ",
+      "ĉĉĉĉĉĠ ĠĠĠĠĠ",
+      "ĉĉĉĉĉĠĠĠ ĠĠĠ",
+      "ĉĉĉĉĉĠĠ ĠĠĠĠ",
+      "ĉĉĉĉĉĠĠĠĠ ĠĠ",
+      "ĉĉĉĉĉĠĠĠĠĠ Ġ",
+      "r iv",
+      "ri v",
+      "p ert",
+      "pe rt",
+      "per t",
+      "Ġ softmax",
+      "Ġsoft max",
+      "Ġs enate",
+      "Ġsen ate",
+      "= email",
+      "=e mail",
+      "Ġest imating",
+      "Ġestim ating",
+      "ĉ td",
+      "ĉt d",
+      "F uck",
+      "Fu ck",
+      "ĠWater loo",
+      "Ġme xico",
+      "Ġmex ico",
+      "New ton",
+      "S ab",
+      "Sa b",
+      ", âĢ¦ĊĊ",
+      ",âĢ¦ ĊĊ",
+      "Ġcele stial",
+      "ĠQ Name",
+      "Ġget App",
+      "N ie",
+      "Ni e",
+      "_ pci",
+      "_p ci",
+      "_pc i",
+      "ĠQ PointF",
+      "ĠQPoint F",
+      "_ lista",
+      "_l ista",
+      "_list a",
+      "_li sta",
+      ".N VarChar",
+      "ĠC oc",
+      "ĠCo c",
+      "K ar",
+      "Ka r",
+      "Ġb usted",
+      "Ġbu sted",
+      "Ġbus ted",
+      "Ġbust ed",
+      "iz ational",
+      "ization al",
+      "o urd",
+      "ou rd",
+      "our d",
+      "_ connector",
+      "_connect or",
+      "_conn ector",
+      "ĠS eks",
+      "ĠSe ks",
+      "ĠSek s",
+      "н ÑĥÑİ",
+      "нÑĥ Ñİ",
+      "Ð Ĥ",
+      "/ List",
+      "/L ist",
+      "/ ic",
+      "/i c",
+      "\\Framework Bundle",
+      "u xt",
+      "ux t",
+      "Ġhead phone",
+      "EX TERN",
+      "EXT ERN",
+      "- reset",
+      "-re set",
+      "-res et",
+      "ĠGe ile",
+      "Ġtr iang",
+      "Ġtri ang",
+      "Ġ ANN",
+      "ĠA NN",
+      "ĠAN N",
+      "Ġ tÃŃ",
+      "Ġt ÃŃ",
+      "Ġ SPA",
+      "ĠS PA",
+      "ĠSP A",
+      "ĠMaced onia",
+      "Ġcr iar",
+      "Ġcri ar",
+      "Ġcria r",
+      "Ġclim bs",
+      "Ġclimb s",
+      "Ġ SON",
+      "ĠS ON",
+      "ĠSO N",
+      "ĠCr itics",
+      "ĠCrit ics",
+      "ĠCri tics",
+      "Ġd ó",
+      "_S PLIT",
+      "Ġ Boundary",
+      "ĠB oundary",
+      "ĠBound ary",
+      "_ Insert",
+      "_In sert",
+      "C old",
+      "Col d",
+      "Co ld",
+      ".create Cell",
+      "_ saida",
+      "_s aida",
+      "_sa ida",
+      ". BLUE",
+      ".BL UE",
+      "B igDecimal",
+      "Big Decimal",
+      "( Bytes",
+      "(By tes",
+      "(Byte s",
+      "ĉ State",
+      "--- @",
+      "View Set",
+      "a kah",
+      "ak ah",
+      "aka h",
+      "_ Report",
+      "_Re port",
+      "- cross",
+      "-c ross",
+      "-cr oss",
+      ".get CurrentUser",
+      ".getCurrent User",
+      "ul tur",
+      "ult ur",
+      "( Fl",
+      "(F l",
+      "ĠI mag",
+      "ĠIm ag",
+      "C Test",
+      "CT est",
+      "ì ĥĿ",
+      "ìĥ Ŀ",
+      "Ġ stag",
+      "Ġs tag",
+      "Ġst ag",
+      "Ġsta g",
+      "Ġo zone",
+      "Ġoz one",
+      "Ġ ké",
+      "Ġk é",
+      "re pair",
+      "rep air",
+      ") \");čĊ",
+      ")\" );čĊ",
+      ")\") ;čĊ",
+      "Ġv ows",
+      "Ġvo ws",
+      "Ġvow s",
+      ". Alter",
+      ".Al ter",
+      "ĠAl gebra",
+      "ĠAlg ebra",
+      "Ġ Ahead",
+      "ĠA head",
+      "ĠAh ead",
+      "g ett",
+      "get t",
+      "ge tt",
+      ". InnerText",
+      ".Inner Text",
+      "ĠZh eng",
+      ".real path",
+      "Ġdi stractions",
+      "Ġdistr actions",
+      "Ġdistraction s",
+      "Ġdistra ctions",
+      "Ġdistract ions",
+      ", event",
+      ",e vent",
+      ",ev ent",
+      "Ġ INCLUDED",
+      "ĠIN CLUDED",
+      "ĠINCLUDE D",
+      ". Matcher",
+      ".M atcher",
+      ".Match er",
+      ". spotify",
+      ".sp otify",
+      "Ġcon sid",
+      "Ġcons id",
+      ". Mapping",
+      ".M apping",
+      ".Map ping",
+      ".Ma pping",
+      "ĠFo am",
+      "ĠN AND",
+      "ĠNA ND",
+      "ĠNAN D",
+      "Ġde vant",
+      "Ġdev ant",
+      "] \")]Ċ",
+      "]\" )]Ċ",
+      "]\") ]Ċ",
+      "L aura",
+      "La ura",
+      "Ġs acked",
+      "Ġsac ked",
+      "Ġsack ed",
+      "_ xor",
+      "_x or",
+      "Ġreal ms",
+      "Ġrealm s",
+      "ĠRob otics",
+      "ĠRobot ics",
+      ". Seek",
+      ".Se ek",
+      ". $$",
+      ".$ $",
+      "ĠR ibbon",
+      "ĠRib bon",
+      "ĉ HRESULT",
+      "ĉH RESULT",
+      "ĠCres cent",
+      "E FR",
+      "EF R",
+      "ĠMed itation",
+      ".get Z",
+      "Ġком п",
+      "Ġко мп",
+      "json webtoken",
+      ": ?",
+      "f af",
+      "fa f",
+      "V IOUS",
+      "VI OUS",
+      "al lah",
+      "all ah",
+      "alla h",
+      "Ġp iping",
+      "Ġpi ping",
+      "Ġpip ing",
+      "Ġmod erne",
+      "Ġmode rne",
+      "Ġmodern e",
+      "Ġmoder ne",
+      "postal code",
+      "Ġlever aging",
+      "Ġ CHIP",
+      "ĠC HIP",
+      "ĠCH IP",
+      "p cm",
+      "pc m",
+      "m ai",
+      "ma i",
+      "Ġi P",
+      "A KER",
+      "AK ER",
+      "AKE R",
+      "data GridView",
+      "_ deps",
+      "_d eps",
+      "_de ps",
+      "_dep s",
+      "- driver",
+      "-d river",
+      "-dr iver",
+      "-drive r",
+      "L ie",
+      "Li e",
+      "d iscard",
+      "dis card",
+      "disc ard",
+      "yntax Exception",
+      "Ġ ect",
+      "Ġe ct",
+      "Ġec t",
+      "ĠEx hibit",
+      "ĠExhib it",
+      "Ġ (**",
+      "Ġ( **",
+      "Ġ(* *",
+      "Ġ ëĶ",
+      "Ġë Ķ",
+      "Change Event",
+      "Ġsuper markets",
+      "Ġsupermarket s",
+      "Ġ shm",
+      "Ġs hm",
+      "Ġsh m",
+      "pro fits",
+      "prof its",
+      "profit s",
+      "pill ar",
+      "r aison",
+      "ra ison",
+      "rais on",
+      "rai son",
+      "W at",
+      "Wa t",
+      "Ġpharm acies",
+      "Ġpharmac ies",
+      "Ġn rw",
+      "Ġnr w",
+      "// ================================================",
+      "ĉ world",
+      "ĉw orld",
+      "Stream ing",
+      "D iamond",
+      "Dia mond",
+      "Ġ Enumerator",
+      "ĠEn umerator",
+      "ĠEnum erator",
+      "Ġen quiry",
+      "Ġenqu iry",
+      ". lambda",
+      ".l ambda",
+      "b ek",
+      "be k",
+      "R OTO",
+      "RO TO",
+      "ROT O",
+      "ĠPdf P",
+      "Ġh isto",
+      "Ġhis to",
+      "Ġhist o",
+      "Ġhi sto",
+      "Ġ getChild",
+      "Ġget Child",
+      "/stretch r",
+      "ĠAM AZ",
+      "ĠAMA Z",
+      "ĠArgument OutOfRangeException",
+      "\" user",
+      "\"use r",
+      "Ġsan itation",
+      "Ġsanit ation",
+      "ĠClo thes",
+      "ĠCloth es",
+      ". numpy",
+      ".n umpy",
+      ".num py",
+      "f ec",
+      "fe c",
+      "Ġ ############",
+      "Ġ#### ########",
+      "Ġ######## ####",
+      "Ġ##### #######",
+      "ей ÑģÑĤв",
+      "_ lp",
+      "_l p",
+      "Ġ azure",
+      "Ġa zure",
+      "Ġaz ure",
+      "X Path",
+      "XP ath",
+      "V ent",
+      "Ve nt",
+      "Ven t",
+      "L abor",
+      "La bor",
+      "Lab or",
+      "Ġmistaken ly",
+      "Ġcon duit",
+      "Ġcond uit",
+      "Ġcondu it",
+      "ĠFair fax",
+      "get StatusCode",
+      "getStatus Code",
+      "ĠM oy",
+      "ĠMo y",
+      "List Adapter",
+      "Ġ( ?)",
+      "Ġ(? )",
+      "Gener ally",
+      "General ly",
+      ".is Connected",
+      "v ido",
+      "vid o",
+      "vi do",
+      "Mouse Button",
+      "Generation Strategy",
+      "_ deriv",
+      "_de riv",
+      "_der iv",
+      "Ġle kker",
+      "Me asurement",
+      "Measure ment",
+      "_ COOKIE",
+      "_CO OKIE",
+      "Ġ ********************************************************************************",
+      "Ġ************************************************************************ ********",
+      "Ġ************************************************************************** ******",
+      "Ġ**************************************************************** ****************",
+      "Ġ******************************** ************************************************",
+      "Ġ**************************************************************************** ****",
+      "Ġ**** ****************************************************************************",
+      "Ġ******** ************************************************************************",
+      "Ġ**************** ****************************************************************",
+      "Ġ************************ ********************************************************",
+      "Ġ**************************************** ****************************************",
+      "Ġ******************************************************** ************************",
+      "Ġ************************************************ ********************************",
+      "Ġcompetitive ness",
+      "Ġcompetit iveness",
+      "Ġgam le",
+      "Ġretro spect",
+      "Ġretros pect",
+      "ĠEdu ardo",
+      "Ġ DataService",
+      "ĠData Service",
+      "Ġesc orted",
+      "Ġescort ed",
+      "Ġescorte d",
+      "Ġ Qty",
+      "ĠQ ty",
+      "ĠQt y",
+      "H oliday",
+      "Hol iday",
+      "ĉ raw",
+      "ĉr aw",
+      "l eurs",
+      "le urs",
+      "leur s",
+      "B irthday",
+      "Birth day",
+      "Ġhe ats",
+      "Ġheat s",
+      ". inverse",
+      ".in verse",
+      ".inv erse",
+      "Ġ _čĊ",
+      "Ġ_ čĊ",
+      "i llum",
+      "il lum",
+      "ill um",
+      "okable Call",
+      "_ ml",
+      "_m l",
+      "L iked",
+      "Like d",
+      "Li ked",
+      "Lik ed",
+      "enum erate",
+      "enumer ate",
+      "F inite",
+      "Fin ite",
+      "Fi nite",
+      "- prop",
+      "-p rop",
+      "-pro p",
+      "-pr op",
+      "Area View",
+      "Ġmed iation",
+      "Ġmedia tion",
+      "Ġmedi ation",
+      "Ġchan ting",
+      "Ġchant ing",
+      "_ NT",
+      "_N T",
+      "_ unc",
+      "_un c",
+      "_u nc",
+      "s mouth",
+      "sm outh",
+      "Ġpi gment",
+      "Ġpig ment",
+      "Password Encoder",
+      "Ġv ér",
+      "Ġvé r",
+      "Ġwaste water",
+      "Ġwast ewater",
+      "- Pack",
+      "-P ack",
+      "Ġj oven",
+      "Ġjo ven",
+      "Ġjov en",
+      "a es",
+      "ae s",
+      "K Y",
+      "P interest",
+      "Ġmus ica",
+      "Ġmusic a",
+      "l aces",
+      "la ces",
+      "lace s",
+      "lac es",
+      "ĠW ich",
+      "ĠWi ch",
+      "( rot",
+      "(r ot",
+      "(ro t",
+      "( ir",
+      "(i r",
+      "Ġì ĤŃìłľ",
+      "ĠìĤ Ńìłľ",
+      "ãģĿ ãĤĮ",
+      "_ THE",
+      "_T HE",
+      "_TH E",
+      "get File",
+      "[ property",
+      "[p roperty",
+      "[prop erty",
+      "Ġen dings",
+      "Ġend ings",
+      "Ġending s",
+      "izz are",
+      "izza re",
+      "= train",
+      "=t rain",
+      "-l oving",
+      "-lo ving",
+      "Ġn ouve",
+      "Ġno uve",
+      "Ġnou ve",
+      "Ġcom mas",
+      "Ġco mmas",
+      "Ġcomm as",
+      "Ġcomma s",
+      "Ġc ambi",
+      "Ġcam bi",
+      "Ġcamb i",
+      "ĠZus ammen",
+      "ĉ Ext",
+      "ĉE xt",
+      "( observer",
+      "(ob server",
+      "(obs erver",
+      "form ik",
+      "Ġqu indi",
+      "ĠIv ory",
+      "ĠBol ivia",
+      "a sad",
+      "as ad",
+      "asa d",
+      "_ legend",
+      "_l egend",
+      "_le gend",
+      "_leg end",
+      "C ities",
+      "Ci ties",
+      "Cit ies",
+      "_F IRE",
+      "as df",
+      "asd f",
+      ". Depth",
+      ".De pth",
+      ".Dep th",
+      "Value GenerationStrategy",
+      "u pd",
+      "up d",
+      ".Get Response",
+      "Ġurgent ly",
+      "Ġurg ently",
+      "In variant",
+      "Inv ariant",
+      "Get X",
+      "Ġst ature",
+      "Ġstat ure",
+      "Ġsta ture",
+      "Ġimag ining",
+      "Ġimagin ing",
+      "ate au",
+      "MO VED",
+      "MOVE D",
+      "MOV ED",
+      "( Transaction",
+      "_ por",
+      "_p or",
+      "_po r",
+      "Ref Ptr",
+      ".global Data",
+      "gr ave",
+      "gra ve",
+      "grav e",
+      "ime steps",
+      "imest eps",
+      "imestep s",
+      "found land",
+      "Sal ir",
+      "art ists",
+      "artist s",
+      "arti sts",
+      "Ġcreate Action",
+      "ĠS anto",
+      "ĠSan to",
+      "ĠSant o",
+      "Ġ неÑĤ",
+      "Ġн еÑĤ",
+      "Ġне ÑĤ",
+      "ĉ ĉĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĉ ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĉĉ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĉĉĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĉĉĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĉĉĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĉĉĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĉĉĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĉĉĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĉĉĉĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĉĉĉĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĉĉĉĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "- song",
+      "-s ong",
+      "-so ng",
+      "Ġnuis ance",
+      "Ġimp over",
+      "_ )čĊ",
+      "_) čĊ",
+      "Ġcrow dfunding",
+      "Ġt imp",
+      "Ġtim p",
+      "Ġti mp",
+      "P ictures",
+      "Picture s",
+      "Pic tures",
+      "Ġlod ging",
+      "éĴ ®",
+      "ata sets",
+      "ataset s",
+      "atas ets",
+      "ãĥŃ ãĤ°",
+      "per sons",
+      "person s",
+      "pers ons",
+      "con duct",
+      "cond uct",
+      "Ġev ade",
+      "Ġha unting",
+      "Ġhaunt ing",
+      "Ġ!! }",
+      "ĠL ARGE",
+      "Ġk itten",
+      "Ġkit ten",
+      "Ġkitt en",
+      "Ġup hill",
+      "( minutes",
+      "(min utes",
+      "ĠE manuel",
+      "' C",
+      "ĠSky walker",
+      "p urpose",
+      "pur pose",
+      "_ mapper",
+      "_m apper",
+      "_map per",
+      "_ma pper",
+      "Ġadapt ations",
+      "Ġadaptation s",
+      ".fill Text",
+      "r uk",
+      "ru k",
+      "Ġrep ertoire",
+      "( priority",
+      "(p riority",
+      "( mapped",
+      "(m apped",
+      "(map ped",
+      "Rob in",
+      "Ro bin",
+      "Ġerrone ous",
+      "Ġin hal",
+      "Ġinh al",
+      "B OVE",
+      "BO VE",
+      "(\", \")Ċ",
+      "(\",\" )Ċ",
+      "uel lement",
+      "uelle ment",
+      "uell ement",
+      "Ġfinger prints",
+      "Ġfingerprint s",
+      "Ġ PYTHON",
+      "ĠPY THON",
+      "- dem",
+      "-d em",
+      "-de m",
+      "lean or",
+      "lea nor",
+      "z Äħd",
+      "zÄħ d",
+      "\" People",
+      "as ier",
+      "asi er",
+      "Ġpatri otic",
+      "Ġpatriot ic",
+      ". freeze",
+      ".f reeze",
+      ".free ze",
+      "I J",
+      "ĠB anco",
+      "ĠBan co",
+      "ĠBanc o",
+      "Ġis Success",
+      "( vehicle",
+      "(v ehicle",
+      "( Layout",
+      "(L ayout",
+      "Ġcar ving",
+      "_ cipher",
+      "_c ipher",
+      "_ci pher",
+      "Ġve zes",
+      "Ġvez es",
+      "(' _',",
+      "('_ ',",
+      "ĠFirst ly",
+      "Ġfull est",
+      "Ġful lest",
+      "Ġ Listening",
+      "ĠList ening",
+      "ĠListen ing",
+      "ĠListe ning",
+      "_ signals",
+      "_sign als",
+      "_signal s",
+      "e wolf",
+      "ew olf",
+      "Ġ SCR",
+      "ĠS CR",
+      "ĠSC R",
+      "ĠM erry",
+      "ĠMer ry",
+      "ĠMerr y",
+      "/test ify",
+      "_SAN ITIZE",
+      "io ctl",
+      "ioc tl",
+      "I EEE",
+      "IE EE",
+      "= Math",
+      "=M ath",
+      "Ġen qu",
+      "ĉ aux",
+      "ĉa ux",
+      "âĻ ¥",
+      "Ġdisp ersed",
+      "Ġdispers ed",
+      "h are",
+      "ha re",
+      "har e",
+      "b ern",
+      "ber n",
+      "be rn",
+      "ĠAm end",
+      "ĠAmen d",
+      "Ġins iders",
+      "Ġinside rs",
+      "Ġinsider s",
+      "ĠAlv arez",
+      "ĠZ ug",
+      "ĠZu g",
+      "/ calendar",
+      "/c alendar",
+      "/cal endar",
+      "Ġ heure",
+      "Ġhe ure",
+      "- paper",
+      "-p aper",
+      "Ġso fort",
+      "Ġsof ort",
+      "Ġ smith",
+      "Ġs mith",
+      "Ġsm ith",
+      "Ġp ob",
+      "Ġpo b",
+      "( rate",
+      "(r ate",
+      "(ra te",
+      "Ġsoci été",
+      "Ġw oes",
+      "Ġwo es",
+      "Ġbr ushing",
+      "Ġbrush ing",
+      "q d",
+      "o logue",
+      "ol ogue",
+      "olog ue",
+      "olo gue",
+      "s ockets",
+      "socket s",
+      "sock ets",
+      "_ YES",
+      "_Y ES",
+      ". addColumn",
+      ".add Column",
+      "Ġe vasion",
+      "Ġev asion",
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+      "obs ervation",
+      "observ ation",
+      "Ġuser Dao",
+      "=\" \">čĊ",
+      "=\"\" >čĊ",
+      "=\"\"> čĊ",
+      "C OVID",
+      "CO VID",
+      "b aby",
+      "ba by",
+      "bab y",
+      "Ġt rough",
+      "Ġtr ough",
+      "Ġtro ugh",
+      "Ġtrou gh",
+      "ĠS eam",
+      "ĠSe am",
+      "ĠSea m",
+      "ĠFight ers",
+      "ĠFighter s",
+      "o mit",
+      "om it",
+      "omi t",
+      "ĠCh arges",
+      "ĠChar ges",
+      "ĠCharg es",
+      "ĠCharge s",
+      "R uss",
+      "Ru ss",
+      "Rus s",
+      "Ġquel que",
+      "Get Position",
+      "ĠMin isters",
+      "ĠMinister s",
+      "ĠMini sters",
+      "ĠMinist ers",
+      "_ receipt",
+      "_re ceipt",
+      "Ġroot Node",
+      "m ultip",
+      "mul tip",
+      "mult ip",
+      "multi p",
+      "$ search",
+      "$s earch",
+      "\" ))))Ċ",
+      "\") )))Ċ",
+      "\")) ))Ċ",
+      "\"))) )Ċ",
+      "t akes",
+      "ta kes",
+      "take s",
+      "tak es",
+      "Ġ( !!",
+      "Ġ(! !",
+      "Ġ BAT",
+      "ĠB AT",
+      "ĠBA T",
+      "c hang",
+      "ch ang",
+      "chan g",
+      "cha ng",
+      "Ä ĵ",
+      ". oc",
+      ".o c",
+      "Ġsk illet",
+      "Ġskill et",
+      "Ġ SKU",
+      "ĠSK U",
+      "ĠGall agher",
+      "Ġcr esc",
+      "Ġcre sc",
+      "Ġcres c",
+      "week day",
+      "er vised",
+      "erv ised",
+      "Card Content",
+      ". accel",
+      ".ac cel",
+      ".acc el",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
+      "T ai",
+      "Ta i",
+      "Ġ Compatibility",
+      "ĠCom patibility",
+      "x CF",
+      "xC F",
+      "_re wards",
+      "_reward s",
+      "r df",
+      "rd f",
+      "AP PLE",
+      "APP LE",
+      "- fed",
+      "-f ed",
+      "-fe d",
+      "Ġdep ended",
+      "Ġdepend ed",
+      "- generator",
+      "-g enerator",
+      "-gen erator",
+      "( Process",
+      "(P rocess",
+      "м ож",
+      "мо ж",
+      "Ġdiscrepan cy",
+      "Ġph osphate",
+      "Ġphosph ate",
+      "Net working",
+      "Network ing",
+      "设计 åĻ¨",
+      "( ro",
+      "(r o",
+      "Ġcon currency",
+      "Ġconc urrency",
+      "ĉ auth",
+      "ĉa uth",
+      "P lug",
+      "Pl ug",
+      "ATA LOG",
+      "ATAL OG",
+      "sub j",
+      "su bj",
+      "/ team",
+      "/t eam",
+      "( avg",
+      "(a vg",
+      "(av g",
+      "o kin",
+      "ok in",
+      "oki n",
+      "Ġpl edges",
+      "Ġpled ges",
+      "Ġpledge s",
+      "Ġcollabor ators",
+      "Ġemb arked",
+      "Ġembark ed",
+      "Ġembar ked",
+      "ĠD och",
+      "ĠDo ch",
+      "ĠDoc h",
+      "ĠD airy",
+      "ĠDa iry",
+      "ĠDai ry",
+      "com petition",
+      "compet ition",
+      "ĠMutable List",
+      "- seven",
+      "-s even",
+      "-se ven",
+      "Ġcon currently",
+      "Ġconcurrent ly",
+      "ĠV ij",
+      "ĠVi j",
+      "Ġre setting",
+      "Ġres etting",
+      "Ġreset ting",
+      "Ġresett ing",
+      "d pi",
+      "dp i",
+      "Ġs lit",
+      "Ġsl it",
+      "ĠPO INTER",
+      "ĠPOINT ER",
+      "ĠC ART",
+      "ĠCA RT",
+      "ĠCAR T",
+      ". dex",
+      ".d ex",
+      ".de x",
+      "c ulos",
+      "cul os",
+      "cu los",
+      "culo s",
+      "_ personal",
+      "_person al",
+      "_persona l",
+      "Ġanal ytic",
+      "Ġanaly tic",
+      "# create",
+      "#c reate",
+      "_ memcpy",
+      "_mem cpy",
+      "( ListNode",
+      "(List Node",
+      "_ Tag",
+      "_T ag",
+      "ĠI rr",
+      "ĠIr r",
+      "\" >';čĊ",
+      "\"> ';čĊ",
+      "\">' ;čĊ",
+      "Short ly",
+      ". tip",
+      ".t ip",
+      "\\ [",
+      "Ġ Representation",
+      "ĠRe presentation",
+      "ĠRep resentation",
+      "ĠRepresent ation",
+      "_L ITERAL",
+      ".c bo",
+      ".cb o",
+      "ĠKarn ataka",
+      "ĠCompet itive",
+      "ĠR ue",
+      "ĠRu e",
+      "Ġrun off",
+      "ĠSp ells",
+      "ĠSpell s",
+      "f close",
+      "fc lose",
+      "c is",
+      "ci s",
+      "F ra",
+      "Fr a",
+      "Ġrem orse",
+      "ĠC ologne",
+      "ĠCol ogne",
+      "ĠColo gne",
+      "Ġr anger",
+      "Ġrange r",
+      "Ġran ger",
+      "Ġra nger",
+      "Ġrang er",
+      "ĠM org",
+      "ĠMo rg",
+      "ĠMor g",
+      "fight ers",
+      "fighter s",
+      ". RequestParam",
+      ".Request Param",
+      "C ors",
+      "Co rs",
+      "Cor s",
+      "Ġde note",
+      "Ġden ote",
+      "Ġch oses",
+      "Ġcho ses",
+      "Ġchose s",
+      "â nd",
+      "ân d",
+      ".re cycle",
+      ".r ecycle",
+      ".rec ycle",
+      "ĠLog istic",
+      "ĠDE AD",
+      "ĠDEA D",
+      "- loaded",
+      "-lo aded",
+      "-load ed",
+      "ĠCl ears",
+      "ĠClear s",
+      "ĠCle ars",
+      "Ġk ell",
+      "Ġke ll",
+      "Ġkel l",
+      "raph ic",
+      "rap hic",
+      "ĠM ane",
+      "ĠMan e",
+      "ĠMa ne",
+      "E MBER",
+      "EM BER",
+      "Ġm asking",
+      "Ġmask ing",
+      "Ġmas king",
+      "ĉ editor",
+      "ĉe ditor",
+      "ĉedit or",
+      "H allo",
+      "Hal lo",
+      "Hall o",
+      ": list",
+      ":l ist",
+      "Ġet hn",
+      "Ġeth n",
+      "- seat",
+      "-s eat",
+      "-se at",
+      "Ġ* )[",
+      "Ġ*) [",
+      "ĠG ly",
+      "ĠGl y",
+      "Ġ ACS",
+      "ĠA CS",
+      "ĠAC S",
+      "ĉ stat",
+      "ĉs tat",
+      "ĉst at",
+      "/ Common",
+      "Ġdisgu ised",
+      "Ġdisguise d",
+      "F inance",
+      "Fin ance",
+      "ĠEle phant",
+      "t emporary",
+      "temp orary",
+      "ĠCar ly",
+      "ĠCarl y",
+      "Ġc ocos",
+      "Ġco cos",
+      "Ġcoc os",
+      "Ġcoco s",
+      "ĠJud ith",
+      "Ġwr appers",
+      "Ġwrapper s",
+      "Ġwrap pers",
+      "ĠL unar",
+      "ĠLu nar",
+      "ĠLun ar",
+      "ĠLuna r",
+      "Ġré cup",
+      "- setup",
+      "-set up",
+      "Ġs izable",
+      "Ġsiz able",
+      "Ġ ĠĉĠ",
+      "ĠĠ ĉĠ",
+      "ĠĠĉ Ġ",
+      "class ifier",
+      "Ġfig size",
+      "Ġmas tur",
+      "Ġmast ur",
+      "Ġ æĽ´æĸ°",
+      "ĠæĽ´ æĸ°",
+      "ĠRw anda",
+      ") t",
+      "ĠC ups",
+      "ĠCup s",
+      "ĠCu ps",
+      "A zure",
+      "Az ure",
+      "( )},Ċ",
+      "() },Ċ",
+      "()} ,Ċ",
+      "()}, Ċ",
+      "SP ARENT",
+      "( dic",
+      "(d ic",
+      "(di c",
+      "ĠText FormField",
+      "Ġde form",
+      "Ġdef orm",
+      "Ġdire cción",
+      "Ġy az",
+      "Ġya z",
+      "Ġgl ued",
+      "Ġglue d",
+      "Ġglu ed",
+      "Ġatrav és",
+      "c offee",
+      "co ffee",
+      "Ġ Updating",
+      "ĠUp dating",
+      "ĠCollege s",
+      "ĠColleg es",
+      "äl lt",
+      "äll t",
+      "and elier",
+      "ande lier",
+      "andel ier",
+      "Ġsal ir",
+      "Ġ SCALE",
+      "ĠS CALE",
+      "ĠSC ALE",
+      "q e",
+      "ê³ µ",
+      "( receiver",
+      "(re ceiver",
+      "m db",
+      "md b",
+      "\" math",
+      "is nan",
+      "tele fone",
+      "RE PORT",
+      "REP ORT",
+      ".add MouseListener",
+      "d ued",
+      "du ed",
+      "due d",
+      "{ }]",
+      "{} ]",
+      "( )):",
+      "() ):",
+      "()) :",
+      "Ġwork ings",
+      "Ġworking s",
+      "} );ĊĊĊĊ",
+      "});Ċ ĊĊĊ",
+      "});ĊĊ ĊĊ",
+      "}) ;ĊĊĊĊ",
+      "}); ĊĊĊĊ",
+      "});ĊĊĊ Ċ",
+      "ĠcomponentWill Mount",
+      "S ervers",
+      "Server s",
+      "Ser vers",
+      "Serv ers",
+      "Serve rs",
+      "_CLOSE D",
+      "IZ ER",
+      "IZE R",
+      "Ġbo ob",
+      "Ġboo b",
+      "ĠCON CAT",
+      "ĠH appiness",
+      "ĠHapp iness",
+      "Ġcomm une",
+      "Ġcommun e",
+      "x AB",
+      "xA B",
+      "owner ship",
+      "owners hip",
+      "_N EAR",
+      "_NE AR",
+      "_H ARD",
+      "Ġ YA",
+      "ĠY A",
+      "l ion",
+      "li on",
+      "lio n",
+      "Ġ spiel",
+      "Ġs piel",
+      "Ġsp iel",
+      "Ġspi el",
+      "Ġtag ging",
+      "Ġimm oral",
+      "- ground",
+      "-g round",
+      "-gr ound",
+      "Ġth unk",
+      "Ġthu nk",
+      "Ġl ocus",
+      "Ġlo cus",
+      "Ġloc us",
+      "ĠLat via",
+      "i zioni",
+      "iz ioni",
+      "izi oni",
+      "izio ni",
+      "cl arsimp",
+      "clar simp",
+      "Ġpatient ly",
+      "\\ Has",
+      "Ġsub ordinate",
+      "ĠWH ICH",
+      "ention Policy",
+      "Ġde pleted",
+      "Ġdep leted",
+      "F SIZE",
+      "FS IZE",
+      "Ġ [,",
+      "Ġ[ ,",
+      "ĠBi ography",
+      "ĠS ands",
+      "ĠSan ds",
+      "ĠSand s",
+      "ĠSa nds",
+      "SH ARE",
+      "SHA RE",
+      "Char set",
+      "Chars et",
+      ".w rit",
+      ".wr it",
+      "_S US",
+      "_SU S",
+      "ĠMore no",
+      "ĠMo reno",
+      "ĠMor eno",
+      "Ġbro ccoli",
+      "ĠV X",
+      "am ics",
+      "amic s",
+      "ami cs",
+      ".Get User",
+      "ĠCom mod",
+      "ĠComm od",
+      ". scheme",
+      ".s cheme",
+      "( vs",
+      "(v s",
+      "Ġanalog ous",
+      "P sy",
+      "Ps y",
+      "= line",
+      "=l ine",
+      ". publisher",
+      ".p ublisher",
+      ".publish er",
+      "Ġon ward",
+      "е кÑģ",
+      "ек Ñģ",
+      "ĠDe alers",
+      "ĠDeal ers",
+      "ĠDealer s",
+      "Ġ toArray",
+      "Ġto Array",
+      "Ġ Choices",
+      "ĠChoice s",
+      "ĠCho ices",
+      "ĠChoi ces",
+      "ÐĶ обав",
+      "ÐĶо бав",
+      "Ġdefault Message",
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+      "\\ Template",
+      "O I",
+      "Ġv riend",
+      "ĠGu err",
+      "Ġpr erequisite",
+      "Ġprere quisite",
+      "Ġ PGA",
+      "ĠP GA",
+      "ĠPG A",
+      "Ġ Resp",
+      "ĠR esp",
+      "ĠRe sp",
+      "ĠRes p",
+      ") \",\"",
+      ")\" ,\"",
+      ")\", \"",
+      "l len",
+      "ll en",
+      "lle n",
+      "Ġsn apping",
+      "Ġsnap ping",
+      "Ġsna pping",
+      "_ First",
+      "_F irst",
+      "K IT",
+      "KI T",
+      ".set Focus",
+      "ĠC ypress",
+      "ĠCy press",
+      "c rafted",
+      "craft ed",
+      "/ ;Ċ",
+      "we ighted",
+      "weight ed",
+      "weigh ted",
+      "v oy",
+      "vo y",
+      "_t F",
+      "_ insn",
+      "_in sn",
+      "_ins n",
+      "Ġ Installing",
+      "ĠInst alling",
+      "ĠInstall ing",
+      "ĠGall up",
+      "AD OR",
+      "ADO R",
+      "ĠA LOG",
+      "ĠAL OG",
+      "Context Holder",
+      "ĠT out",
+      "ĠTo ut",
+      "ĠTou t",
+      "ĠF oley",
+      "ĠFo ley",
+      "ĠFol ey",
+      "Ġcon template",
+      "Ġcont emplate",
+      "Ġcontempl ate",
+      "ĠCoin base",
+      "X ã",
+      "w and",
+      "wa nd",
+      "wan d",
+      ".Create Command",
+      "S ock",
+      "So ck",
+      "Ġ unwrap",
+      "Ġun wrap",
+      "Ġunw rap",
+      "class path",
+      "clas spath",
+      "< Resource",
+      "_ EST",
+      "_E ST",
+      "_ES T",
+      "= random",
+      "=r andom",
+      "=rand om",
+      "ĠSh ade",
+      "ĠSha de",
+      "Ġd ici",
+      "Ġdi ci",
+      "Ġdic i",
+      "د ÙĬ",
+      "Ġk itty",
+      "Ġkit ty",
+      "Ġki tty",
+      "Ġkitt y",
+      "аÑĤ ег",
+      "аÑĤе г",
+      "á»į n",
+      ". Completed",
+      ".Com pleted",
+      ".Comp leted",
+      ".Complete d",
+      "pl orer",
+      "plor er",
+      "Ġ babel",
+      "Ġb abel",
+      "Ġba bel",
+      "Ġbab el",
+      "Ġbabe l",
+      ".On ItemClickListener",
+      "ĠMc Mahon",
+      "Ġrest Template",
+      "Ġt ess",
+      "Ġte ss",
+      "Ġtes s",
+      "Set Up",
+      "/oct et",
+      "Ġc alam",
+      "Ġcal am",
+      "Ġca lam",
+      "Ġh inges",
+      "Ġhin ges",
+      "Ġhinge s",
+      "Ġart erial",
+      "Ġarter ial",
+      "Ġarte rial",
+      "ĠTr uman",
+      "ĠTru man",
+      "ĠCh eryl",
+      "ĠCher yl",
+      "_ DDR",
+      "_D DR",
+      "_DD R",
+      "Ġ tmpl",
+      "Ġt mpl",
+      "Ġtmp l",
+      "Ġtm pl",
+      "ĠL er",
+      "ĠLe r",
+      "[ hash",
+      "[h ash",
+      "K ER",
+      "KE R",
+      "Ġpropor cion",
+      "Ġcoast line",
+      "ac ios",
+      "aci os",
+      "acio s",
+      "\" >--}}Ċ",
+      "\"> --}}Ċ",
+      "Ġdisadv antaged",
+      "Ġdisadvantage d",
+      "Touch Listener",
+      "ĠS ega",
+      "ĠSe ga",
+      "ĠSeg a",
+      "c oes",
+      "co es",
+      "coe s",
+      "Illegal AccessException",
+      "< Box",
+      "<B ox",
+      "ĠIn credible",
+      "Up dater",
+      "Update r",
+      "F LT",
+      "FL T",
+      "i name",
+      "in ame",
+      "ina me",
+      "Ġ Interfaces",
+      "ĠInter faces",
+      "ĠInterface s",
+      "+ )\\",
+      "+) \\",
+      "end imento",
+      "Ġpan cakes",
+      "Ġpanc akes",
+      "Ġincons ist",
+      ". pet",
+      ".p et",
+      ".pe t",
+      "Ġkey of",
+      "Inner Text",
+      "> ')",
+      ">' )",
+      "D ean",
+      "De an",
+      "ĠP é",
+      "( Control",
+      "(C ontrol",
+      "Ġ spar",
+      "Ġs par",
+      "Ġsp ar",
+      "Ġspa r",
+      "li nik",
+      "lin ik",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
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+      "ĉĉĉ ĠĠĠĠĠĠĠĠ",
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+      "ĉĉĉĠ ĠĠĠĠĠĠĠ",
+      "ĉĉĉĠĠ ĠĠĠĠĠĠ",
+      "ĉĉĉĠĠĠĠ ĠĠĠĠ",
+      "ĉĉĉĠĠĠĠĠ ĠĠĠ",
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+      "FIX ME",
+      "ĠAnge bot",
+      "i ever",
+      "ie ver",
+      "ieve r",
+      "iev er",
+      "ĠKy oto",
+      "c il",
+      "ci l",
+      "New UrlParser",
+      ". Di",
+      ".D i",
+      "Ġhum ane",
+      "Ġhuman e",
+      "D emand",
+      "De mand",
+      "Dem and",
+      "ĠMart ian",
+      "w oods",
+      "wo ods",
+      "wood s",
+      "woo ds",
+      "ĠHe al",
+      "ĠY ue",
+      "ĠYu e",
+      "Ġcour thouse",
+      "Ġcourt house",
+      "Ġv ont",
+      "Ġvo nt",
+      "Ġvon t",
+      "Ġ bons",
+      "Ġb ons",
+      "Ġbo ns",
+      "Ġbon s",
+      "int egral",
+      "integr al",
+      "Ġ$('# '",
+      "Ġ$(' #'",
+      "e termination",
+      "eter mination",
+      "etermin ation",
+      ". modified",
+      ".mod ified",
+      "Ġprincip als",
+      "Ġprincipal s",
+      "Ġal armed",
+      "Ġalarm ed",
+      ".create Object",
+      "//------------------------------------------------ --------------Ċ",
+      "/ count",
+      "/c ount",
+      "/co unt",
+      "Ġent renched",
+      "Ġentren ched",
+      "\\ a",
+      "Ġintr usion",
+      "Ġ Nx",
+      "ĠN x",
+      "ĉĉĊ ĉĉĊĉĉĊ",
+      "ĉĉĊĉĉĊ ĉĉĊ",
+      "ch ematic",
+      "che matic",
+      "chem atic",
+      "chema tic",
+      "Ġsl iders",
+      "Ġslide rs",
+      "Ġslider s",
+      "Ġslid ers",
+      "Ġselect able",
+      "_ nl",
+      "_n l",
+      "i ese",
+      "ies e",
+      "ie se",
+      "_est imators",
+      "_estimator s",
+      "Ġ Svg",
+      "ĠS vg",
+      "ĠSv g",
+      "Ġdelete User",
+      "( mapping",
+      "(m apping",
+      "(map ping",
+      "Ġì²ĺ 리",
+      "Ġantagon ist",
+      "Ġkin ase",
+      "Ġwel ded",
+      "Ġweld ed",
+      "ĠL ena",
+      "ĠLe na",
+      "ĠLen a",
+      "ed ith",
+      "edit h",
+      "edi th",
+      "i ali",
+      "ial i",
+      "ia li",
+      "( pic",
+      "(p ic",
+      "(pi c",
+      "Ġbre ached",
+      "Ġbreach ed",
+      "P IC",
+      "PI C",
+      "Ġco aster",
+      "Ġcoast er",
+      "F DA",
+      "FD A",
+      "Ġ kre",
+      "Ġk re",
+      "Ġkr e",
+      "per fil",
+      "perf il",
+      "ĠG ems",
+      "ĠGe ms",
+      "ĠGem s",
+      "_f ence",
+      "_fe nce",
+      "URL Request",
+      "âĢĻ app",
+      "âĢĻa pp",
+      "REF ERENCE",
+      "REFER ENCE",
+      ". Export",
+      ".Ex port",
+      ".Exp ort",
+      "Ġmin imized",
+      "Ġminim ized",
+      "Ġminimize d",
+      "i pel",
+      "ip el",
+      "ipe l",
+      "i data",
+      "id ata",
+      "ida ta",
+      ") dealloc",
+      "e scal",
+      "es cal",
+      "esc al",
+      "_f wd",
+      "_fw d",
+      "mem cpy",
+      "ĠL ori",
+      "ĠLo ri",
+      "ĠLor i",
+      "_ Ref",
+      "_R ef",
+      "_Re f",
+      "Ġ bara",
+      "Ġb ara",
+      "Ġbar a",
+      "Ġba ra",
+      "ĠS ellers",
+      "ĠSel lers",
+      "ĠSell ers",
+      "ĠSeller s",
+      "Ġdeterior ation",
+      "f raction",
+      "fr action",
+      "frac tion",
+      "fra ction",
+      ") ];",
+      ")] ;",
+      "/ play",
+      "/p lay",
+      "/pl ay",
+      "Â ¥",
+      "- tests",
+      "-t ests",
+      "-test s",
+      "-te sts",
+      "Off sets",
+      "Offset s",
+      "O i",
+      "ĠK laus",
+      "ĠKl aus",
+      "Ġque rying",
+      "Ġquery ing",
+      "Ġquer ying",
+      "w ish",
+      "wi sh",
+      "wis h",
+      "a pel",
+      "ap el",
+      "ape l",
+      "_ working",
+      "_work ing",
+      "myModal Label",
+      "Ġ toDate",
+      "Ġto Date",
+      "p ermalink",
+      "per malink",
+      "perm alink",
+      "Ġf rec",
+      "Ġfr ec",
+      "Ġfre c",
+      "olec ules",
+      "olecule s",
+      "ĠG oose",
+      "ĠGo ose",
+      "- widgets",
+      "-widget s",
+      "t urtle",
+      "tu rtle",
+      "tur tle",
+      "Im proved",
+      "Impro ved",
+      "Ġroad way",
+      "k ehr",
+      "ke hr",
+      "keh r",
+      "Ġastr onomy",
+      "Ġastronom y",
+      "C ombine",
+      "Com bine",
+      "Comb ine",
+      "Ġci gars",
+      "Ġcig ars",
+      "Ġcigar s",
+      "_G ATE",
+      "/ manage",
+      "/man age",
+      "ĠGer ard",
+      "ĠProt ector",
+      "ĠProte ctor",
+      "ĠProtect or",
+      "Sub system",
+      "/ find",
+      "/f ind",
+      "/ YYYY",
+      "/Y YYY",
+      "Ġtot aling",
+      "Ġtotal ing",
+      "м оÑĤ",
+      "мо ÑĤ",
+      "ĠO man",
+      "ĠOm an",
+      "Ġinf init",
+      "- office",
+      "-off ice",
+      "Ġinstant iation",
+      ". §",
+      "c eu",
+      "ce u",
+      "( atom",
+      "(a tom",
+      "(at om",
+      "ĠDrop out",
+      "íģ ¬",
+      "Ġcondem ning",
+      "Ġcondemn ing",
+      "_ basename",
+      "_b asename",
+      "_base name",
+      "] }</",
+      "]} </",
+      "Data Context",
+      "ĠW ashing",
+      "ĠWash ing",
+      ". ON",
+      ".O N",
+      "Ġmom my",
+      "( )};Ċ",
+      "() };Ċ",
+      "()} ;Ċ",
+      "Ġ; )ĊĊ",
+      "Ġ;) ĊĊ",
+      "/ ext",
+      "/e xt",
+      "/ex t",
+      "fore groundColor",
+      "foreground Color",
+      "un supported",
+      "uns upported",
+      "Ġs ollen",
+      "Ġso llen",
+      "Ġsol len",
+      "Ġsoll en",
+      "Ġcom eç",
+      "Ġcome ç",
+      "DIS ABLE",
+      "Ġon Pause",
+      "ĠÑĩ ÑĤобÑĭ",
+      "ĠÑĩÑĤо бÑĭ",
+      "ĠÑĩÑĤ обÑĭ",
+      "ĠA in",
+      "ĠAi n",
+      "G s",
+      "ĉ Task",
+      "ĉT ask",
+      "h awk",
+      "ha wk",
+      "\" Not",
+      "\"No t",
+      "\"N ot",
+      "A GR",
+      "AG R",
+      ". getTable",
+      ".get Table",
+      "Ġdi vergence",
+      "Ġdiver gence",
+      "Ġneg oci",
+      "Re placing",
+      "] })Ċ",
+      "]} )Ċ",
+      "ill usion",
+      "illus ion",
+      "Ġ ÎĶ",
+      "ĠÎ Ķ",
+      "_KEY BOARD",
+      "K r",
+      "ĉ or",
+      "ĉo r",
+      "确 认",
+      "ĉ println",
+      "ĉprint ln",
+      "ĠSearch es",
+      "ĠFres no",
+      "Ġver dad",
+      "Ġverd ad",
+      "\\ Middleware",
+      "\\M iddleware",
+      "Ġ ìµľ",
+      "Ġì µľ",
+      "}) ();",
+      "})( );",
+      "text Align",
+      "in kel",
+      "ink el",
+      "inke l",
+      ". Txt",
+      ".T xt",
+      ".Tx t",
+      "Ġoptim izations",
+      "Ġoptimization s",
+      "you ng",
+      "yo ung",
+      "Ġ leased",
+      "Ġle ased",
+      "Ġlease d",
+      "J T",
+      "ĠIonic Module",
+      "et tings",
+      "ett ings",
+      "etting s",
+      "e sehen",
+      "es ehen",
+      "ese hen",
+      "Ġfavour able",
+      "a ney",
+      "an ey",
+      "ane y",
+      "Ġother ButtonTitles",
+      "ĠTh ames",
+      "ĠTham es",
+      "ĉ unit",
+      "ĉu nit",
+      "ĉun it",
+      "C OLUMN",
+      "Ġ loi",
+      "Ġl oi",
+      "Ġlo i",
+      ", proto",
+      "_ PRI",
+      "_P RI",
+      "_PR I",
+      "Ġwand ered",
+      "Ġwander ed",
+      "Ġs api",
+      "Ġsa pi",
+      "Ġsap i",
+      "back ward",
+      "ara oh",
+      "Ġ FH",
+      "ĠF H",
+      "Ġ Alg",
+      "ĠA lg",
+      "ĠAl g",
+      "ĉ ac",
+      "ĉa c",
+      "ar ro",
+      "arr o",
+      "åİ Ĩ",
+      "ĠS OS",
+      "ĠSO S",
+      "ĠD read",
+      "ĠDr ead",
+      "ĠDre ad",
+      "Vector Xd",
+      ".r mtree",
+      ".rm tree",
+      "_ executor",
+      "_exec utor",
+      "Ġpregn ancies",
+      "Ġpr acy",
+      "Ġpra cy",
+      "Ġprac y",
+      "ĠW ww",
+      "ĠArch bishop",
+      "Ġme inen",
+      "Ġmein en",
+      "Ġmeine n",
+      "F U",
+      ". Env",
+      ".E nv",
+      ".En v",
+      "Ġenlight ened",
+      "Ġorig inate",
+      "Ġorigin ate",
+      "åı Ĭ",
+      "Ġz lib",
+      "_ SA",
+      "_S A",
+      "Ġw astes",
+      "Ġwas tes",
+      "Ġwaste s",
+      "Ġwast es",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
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+      ".Find GameObjectWithTag",
+      "i nant",
+      "in ant",
+      "ina nt",
+      "inan t",
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+      "ix e",
+      "c db",
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+      "eb b",
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+      "ĠOver se",
+      "ĠOvers e",
+      "ĠOv erse",
+      "Ġsql Command",
+      "Host Name",
+      "- launch",
+      "-l aunch",
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+      ".S pan",
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+      "ĠYe lp",
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+      "Ġì Ľ",
+      "Ġget Username",
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+      "- var",
+      "-v ar",
+      "_ mtx",
+      "_m tx",
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+      ".ĊĊĊ ĊĊĊĊĊĊĊĊĊ",
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+      ".ĊĊĊĊĊĊĊĊ ĊĊĊĊ",
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+      "th rown",
+      "throw n",
+      "thr own",
+      "thro wn",
+      "Ġr aping",
+      "Ġrap ing",
+      "Ġra ping",
+      "u pos",
+      "up os",
+      "upo s",
+      "ĉ cli",
+      "ĉc li",
+      "ĉcl i",
+      "get View",
+      "Highlight ed",
+      "Cpp Guid",
+      "Ġreleg ated",
+      "Ġleader board",
+      "Receive Props",
+      ". har",
+      ".h ar",
+      "Ġcon di",
+      "Ġcond i",
+      "IM ITIVE",
+      "IMIT IVE",
+      "ĠMc Cart",
+      "ĠMcC art",
+      ") throws",
+      "bu ie",
+      "bu ah",
+      ". coeff",
+      ".c oeff",
+      ".co eff",
+      "ĠAus sie",
+      "ĠAuss ie",
+      "ĠSab ha",
+      "( fabs",
+      "(f abs",
+      "r eland",
+      "re land",
+      "rel and",
+      "ĠF ör",
+      "bar ang",
+      "ba rang",
+      "bara ng",
+      ", top",
+      ",t op",
+      ",to p",
+      "ĉ elsif",
+      "Step Through",
+      "Ġsk ewed",
+      "Ġske wed",
+      "Ġskew ed",
+      "Ġ Unused",
+      "ĠUn used",
+      "' )}>Ċ",
+      "') }>Ċ",
+      "')} >Ċ",
+      "Y e",
+      "c allee",
+      "cal lee",
+      "call ee",
+      "H ibernate",
+      "ĠEver est",
+      "ĠEve rest",
+      "import Default",
+      "Ġt arn",
+      "Ġta rn",
+      "Ġtar n",
+      "ĠNow adays",
+      "Y A",
+      "ĠChallenge r",
+      "ĠChall enger",
+      "_ logical",
+      "_log ical",
+      "_logic al",
+      "Ġcreate Date",
+      "ĠGl ouce",
+      "ĠGlo uce",
+      "Ġcu anto",
+      "ĠH AR",
+      "ĠHA R",
+      "ĠC hill",
+      "ĠCh ill",
+      "ĠChi ll",
+      "\" ^",
+      "Ġc ursos",
+      "Ġcurs os",
+      "Ġcurso s",
+      ". EOF",
+      ".E OF",
+      "Ġn ije",
+      "Ġni je",
+      "Ġ angered",
+      "Ġang ered",
+      "Ġanger ed",
+      "Ġange red",
+      "oc using",
+      "ocus ing",
+      "ocu sing",
+      "< Contact",
+      "ĠAtmos pheric",
+      "ĠWolf gang",
+      "ĠWol fgang",
+      "Ġ BJ",
+      "ĠB J",
+      "child s",
+      "chi lds",
+      "ĠB ugs",
+      "ĠBu gs",
+      "ĠBug s",
+      "_H EX",
+      "_HE X",
+      "( SP",
+      "(S P",
+      "Ã¥ l",
+      "_ evaluation",
+      "_e valuation",
+      "_eval uation",
+      "ĠR ANGE",
+      "ĠS OP",
+      "ĠSO P",
+      "_token ize",
+      "ms gid",
+      "msg id",
+      "Ġ rex",
+      "Ġre x",
+      "Ġr ex",
+      "ĉ pm",
+      "ĉp m",
+      "Copy ing",
+      "Cop ying",
+      "* L",
+      "D allas",
+      "Dal las",
+      "- State",
+      "-St ate",
+      "ul fill",
+      "ulf ill",
+      "Ġby ÅĤo",
+      "ĠbyÅĤ o",
+      "ĠCon tractor",
+      "ĠContract or",
+      "ĠContr actor",
+      "Did n",
+      "Di dn",
+      "A STE",
+      "AS TE",
+      "AST E",
+      "Ġ PIO",
+      "ĠP IO",
+      "ĠPI O",
+      ". Tele",
+      ".T ele",
+      ".Te le",
+      ". water",
+      ".w ater",
+      "d ez",
+      "de z",
+      "Ġan grily",
+      "Ġutil isateur",
+      "Ġutilis ateur",
+      "Ġv ortex",
+      "Ġvor tex",
+      "Cor porate",
+      "Corp orate",
+      "at uras",
+      "atur as",
+      "atura s",
+      "atu ras",
+      "Ġpr ized",
+      "Ġpri zed",
+      "Ġprize d",
+      "' url",
+      "'u rl",
+      "ug lify",
+      "Ġimp ulses",
+      "Ġimpulse s",
+      "Ġimpuls es",
+      "Ġchron ological",
+      "Ġchrono logical",
+      "p len",
+      "pl en",
+      "ple n",
+      "_ nama",
+      "_n ama",
+      "_na ma",
+      "/ on",
+      "/o n",
+      "ĠOff ices",
+      "ĠOffice s",
+      "ĠC PI",
+      "ĠCP I",
+      "ĠAfter wards",
+      "ãģĵãĤĵ ãģ«",
+      "_B LOCKS",
+      "_BLOCK S",
+      "G race",
+      "Gr ace",
+      "/************************************************************************ ************************",
+      "/**************************************************************** ********************************",
+      "/**************************************************************************** ********************",
+      "/******************************** ****************************************************************",
+      "/************************ ************************************************************************",
+      "/******************************************************** ****************************************",
+      "/**************** ********************************************************************************",
+      "/**************************************** ********************************************************",
+      "/******************************************************************************** ****************",
+      "/************************************************ ************************************************",
+      "ĠKa bul",
+      "ĠKab ul",
+      "Ġ æĪIJ",
+      "ĠæĪ IJ",
+      "ĠLe ipzig",
+      "ঠ¨",
+      "Sh ock",
+      "A us",
+      "Au s",
+      "Ġm urm",
+      "Ġmur m",
+      "Ġmu rm",
+      "_ starts",
+      "_st arts",
+      "_start s",
+      "_star ts",
+      "_sta rts",
+      "Ġb ä",
+      "ĠZ y",
+      "\" F",
+      "- rights",
+      "-r ights",
+      "-right s",
+      "Ġbe having",
+      "Ġbeh aving",
+      "( '>",
+      "(' >",
+      "Ġmos ques",
+      "Ġmosque s",
+      "* width",
+      "*w idth",
+      "\"/ >.</",
+      "\"/> .</",
+      ".un splash",
+      ".get Activity",
+      "U U",
+      "ĠSh ak",
+      "ĠSha k",
+      "_ rg",
+      "_r g",
+      "_ Equals",
+      "_E quals",
+      "' https",
+      "'http s",
+      "ĠO xygen",
+      "ĠPort smouth",
+      "ĠPorts mouth",
+      "âĢĶ one",
+      "Ġwatch ers",
+      "Ġwat chers",
+      "Ġwatcher s",
+      "ĠCh oi",
+      "ĠCho i",
+      "Ġs ider",
+      "Ġside r",
+      "Ġsi der",
+      "Ġsid er",
+      "pect ral",
+      "m qtt",
+      "mq tt",
+      ".create User",
+      "ject ives",
+      "jective s",
+      "ur ma",
+      "urm a",
+      "Reg istr",
+      "Person ally",
+      "Personal ly",
+      "= key",
+      "=k ey",
+      "ĠN EO",
+      "ĠNE O",
+      "ĠFAQ s",
+      "ibil idade",
+      "ibilidad e",
+      "cks å",
+      "ĠCollabor ation",
+      "ĉ lbl",
+      "ĉl bl",
+      ". SERVER",
+      ".S ERVER",
+      "Ġa bound",
+      "Ġab ound",
+      "ĠB ene",
+      "ĠBe ne",
+      "ĠBen e",
+      "w anted",
+      "wan ted",
+      "want ed",
+      "- hole",
+      "-h ole",
+      "Ġmut tered",
+      "Ġp ep",
+      "Ġpe p",
+      "n esc",
+      "ne sc",
+      "nes c",
+      ". Upload",
+      ".Up load",
+      "s emi",
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+      "sem i",
+      "x EC",
+      "xE C",
+      "' >\"+",
+      "'> \"+",
+      "'>\" +",
+      "Ġemb ryo",
+      "Ġembr yo",
+      "Ġembry o",
+      "ĠFixed Update",
+      "C astle",
+      "Cast le",
+      "Cas tle",
+      ". modelo",
+      ".model o",
+      ".mod elo",
+      ".mode lo",
+      "Ġ pls",
+      "Ġp ls",
+      "Ġpl s",
+      "Ġenvelope s",
+      "Ġenvelop es",
+      "_ remain",
+      "_re main",
+      "_r emain",
+      "_rem ain",
+      "Qu arter",
+      "alert View",
+      "_ formatted",
+      "_form atted",
+      "_format ted",
+      "Ġ lashes",
+      "Ġl ashes",
+      "Ġlas hes",
+      "Ġlash es",
+      "z elf",
+      "ze lf",
+      "zel f",
+      "hom me",
+      ".flow LayoutPanel",
+      "air port",
+      "ĠMem ories",
+      "ĠMemo ries",
+      "ĠMemor ies",
+      "ĠH ERO",
+      "ĠHE RO",
+      "ĠHER O",
+      "ĠAs hton",
+      "ĠAsh ton",
+      "Ġexhib iting",
+      "Ġexhibit ing",
+      "( SELECT",
+      "(SE LECT",
+      "Sub mission",
+      "St uff",
+      "_ sun",
+      "_s un",
+      "_su n",
+      "ĠperÃŃ odo",
+      "Ġdes pre",
+      "Ġdesp re",
+      "ĉ edit",
+      "ĉe dit",
+      "ĠD type",
+      "ĠDt ype",
+      "cess ive",
+      "a ad",
+      "aa d",
+      "Ġdes con",
+      "Ġdesc on",
+      "n elly",
+      "nel ly",
+      "nell y",
+      "Ġ------------------------------------------------ ------------",
+      "Ġ-------------------------------- ----------------------------",
+      "Ġ------------ ------------------------------------------------",
+      "Ġscript ures",
+      "Ġscripture s",
+      "ĠonView Created",
+      "ĠE VE",
+      "ĠEV E",
+      "ĠB allet",
+      "ĠBall et",
+      "ĠBal let",
+      "; };Ċ",
+      ";} ;Ċ",
+      "U DO",
+      "UD O",
+      "Ġ Probability",
+      "ĠProb ability",
+      "quir rel",
+      "Cont aining",
+      "Contain ing",
+      "Conta ining",
+      "ĠP lat",
+      "ĠPl at",
+      "ĠPla t",
+      "è ¢",
+      "/ bit",
+      "/b it",
+      "ĠJ Query",
+      "Ġti ener",
+      "Ġtie ner",
+      "Ġtiene r",
+      "/ drivers",
+      "/dr ivers",
+      "ĠPres idency",
+      "\\ uD",
+      "\\u D",
+      "ĠI ve",
+      "ĠIv e",
+      "i ena",
+      "ie na",
+      "ien a",
+      "Ġhy pers",
+      "Ġhyp ers",
+      "Ġhyper s",
+      "Ġhype rs",
+      "ĠS pending",
+      "ĠSp ending",
+      "ĠSpend ing",
+      "< W",
+      "ĠT HEME",
+      "ĠTHE ME",
+      "ĠTHEM E",
+      "Ġuser Profile",
+      "Ġan num",
+      "Ġann um",
+      "ret weeted",
+      "Ġ\\ ''",
+      "Ġ\\' '",
+      "b undles",
+      "bundle s",
+      "( )</",
+      "() </",
+      "()< /",
+      "ĠC ylinder",
+      "Ġout liers",
+      "Ġoutlier s",
+      "Ġdisse mination",
+      "/ apt",
+      "/a pt",
+      "/ap t",
+      "ĠNat asha",
+      "Ġrender Item",
+      "ĠC hips",
+      "ĠCh ips",
+      "ĠChip s",
+      "ĠChi ps",
+      "Ġround up",
+      "Ġim prov",
+      "Ġimp rov",
+      "Ġimpro v",
+      "Ġimpr ov",
+      "Ġcommunic ator",
+      "Ġcommun icator",
+      "Ġsk ype",
+      "Ġsky pe",
+      "M MM",
+      "MM M",
+      "r ijk",
+      "ri jk",
+      "rij k",
+      ". Place",
+      ".P lace",
+      ".Pl ace",
+      "Ġp asa",
+      "Ġpas a",
+      "Ġpa sa",
+      "Ġ SYNC",
+      "ĠS YNC",
+      "ĠSY NC",
+      "ĠSYN C",
+      "en sis",
+      "ens is",
+      "ensi s",
+      "ĠAx el",
+      "ĠAxe l",
+      "en ça",
+      "getString Extra",
+      "abil ité",
+      "abilit é",
+      "Ġ emacs",
+      "Ġem acs",
+      ". gravity",
+      ".gr avity",
+      "Ġche rish",
+      "Ġcher ish",
+      "ĠIS SN",
+      "ĠISS N",
+      "ĉ Json",
+      "ĉJ son",
+      "u yo",
+      "uy o",
+      "Ġ uptime",
+      "Ġu ptime",
+      "Ġup time",
+      "Ġupt ime",
+      "Ġrandom ness",
+      "Ġlo fty",
+      "Ġloft y",
+      "B ow",
+      "Bo w",
+      "C rear",
+      "Cre ar",
+      "Cr ear",
+      "Ġt owering",
+      "Ġtow ering",
+      "Ġtower ing",
+      "c ategorie",
+      "/ power",
+      "/p ower",
+      "/ welcome",
+      "/w elcome",
+      "| R",
+      "Ġb arring",
+      "Ġbar ring",
+      "Ġbarr ing",
+      "i dia",
+      "id ia",
+      "idi a",
+      "qu am",
+      "qua m",
+      "ú do",
+      "ex perimental",
+      "experiment al",
+      "Ġ cla",
+      "Ġc la",
+      "Ġcl a",
+      "Ġc urator",
+      "Ġcur ator",
+      "re amble",
+      "ream ble",
+      "i ndx",
+      "in dx",
+      "ind x",
+      "L LL",
+      "LL L",
+      "Ġ }):",
+      "Ġ} ):",
+      "Ġ}) :",
+      "Ġ histoire",
+      "Ġhist oire",
+      "Ġhisto ire",
+      "sim ulate",
+      "< Any",
+      "<A ny",
+      "ĠG lam",
+      "ĠGl am",
+      "ĠB arg",
+      "ĠBar g",
+      "ĠBa rg",
+      "Value Collection",
+      "ĠInstit uto",
+      "ĠInstitut o",
+      "AsString Async",
+      "Ġa dec",
+      "Ġad ec",
+      "Ġade c",
+      "Ġfell ows",
+      "Ġfellow s",
+      "p ipes",
+      "pi pes",
+      "pipe s",
+      "pip es",
+      "Ġ Placeholder",
+      "ĠPlace holder",
+      "ĠK g",
+      "ĠAlbum s",
+      "ĠAlb ums",
+      "Ġ* (*",
+      "Ġ*( *",
+      "_ GOOD",
+      "_G OOD",
+      "_GO OD",
+      ") \",čĊ",
+      ")\" ,čĊ",
+      ")\", čĊ",
+      ".Q Rect",
+      "â m",
+      "Ġ }ččĊ",
+      "Ġ} ččĊ",
+      "Marshal As",
+      "B achelor",
+      "Ġ Barcode",
+      "ĠBar code",
+      "ĠBa rcode",
+      "ĠTr averse",
+      "ĠTra verse",
+      "ĠTrav erse",
+      "Ġo dio",
+      "Ġod io",
+      ".set Parent",
+      "Ġsem iconductor",
+      "ALL EL",
+      "ALLE L",
+      "Ġban quet",
+      "ĠNews paper",
+      "ĠNewsp aper",
+      "DOM Node",
+      "ĠNa ughty",
+      "Formatted Message",
+      "Ġdisrupt ing",
+      "æĺ ĵ",
+      "Ġlook ahead",
+      "Ġgratuit es",
+      "Ġgratuite s",
+      "Ġche esy",
+      "Ġchees y",
+      "ĠS PF",
+      "ĠSP F",
+      "n P",
+      "Ġar son",
+      "Ġantenna s",
+      "Ġantenn as",
+      "_M IDDLE",
+      "_M ALLOC",
+      ".go Back",
+      "ĠPro position",
+      "ĠProp osition",
+      "ĠMichael s",
+      "ĠMicha els",
+      "_ proof",
+      "_p roof",
+      "_pro of",
+      "Ġн айд",
+      "Ġнай д",
+      "ätz lich",
+      "- roll",
+      "-r oll",
+      "-ro ll",
+      "E DA",
+      "ED A",
+      "á nÃŃ",
+      "án ÃŃ",
+      "g overnment",
+      "ö tt",
+      "öt t",
+      "ĠEstablish ment",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "_H IT",
+      "_HI T",
+      "Ġ AIM",
+      "ĠA IM",
+      "ĠAI M",
+      "a dol",
+      "ad ol",
+      "ado l",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
+      "_REFER ER",
+      "Ġformat Date",
+      "uct ose",
+      "Ġdown loader",
+      "Ġdownload er",
+      "Text Edit",
+      "Ġdis arm",
+      "ĠH APP",
+      "ĠHA PP",
+      "о да",
+      "од а",
+      "! ).ĊĊ",
+      "!) .ĊĊ",
+      "!). ĊĊ",
+      "/ process",
+      "/p rocess",
+      "/pro cess",
+      "Ġbrain storm",
+      "Ġ ORIGINAL",
+      "ĠOR IGINAL",
+      ". TableName",
+      ".Table Name",
+      "ĠKosten lose",
+      "ĠKostenlos e",
+      "Ġd ép",
+      "Ġdé p",
+      "ĠIs abel",
+      "ĠIsa bel",
+      "Ġastronom ers",
+      "QUI RES",
+      "QUIRE S",
+      ": \"-",
+      ":\" -",
+      "up loader",
+      "upload er",
+      ":// %",
+      ":/ /%",
+      "Ġa mis",
+      "Ġam is",
+      "Ġami s",
+      "File Version",
+      "Ġ ,$",
+      "Ġ, $",
+      "c ook",
+      "co ok",
+      ",S IGNAL",
+      "' ,//",
+      "', //",
+      "Ġ Suppress",
+      "ĠSup press",
+      "ĠLat inos",
+      "ĠLatin os",
+      "ĠLatino s",
+      "Ġwith hold",
+      "Ġm nemonic",
+      "Ġmn emonic",
+      "Ġmne monic",
+      "_CY CLE",
+      "Ġ hod",
+      "Ġh od",
+      "Ġho d",
+      "ĠW orse",
+      "ĠWor se",
+      "er de",
+      "erd e",
+      "Ġ typeid",
+      "Ġtype id",
+      "Ġtyp eid",
+      "ĉ exports",
+      "ĉex ports",
+      "ĉexp orts",
+      "ĉexport s",
+      "Ġa chter",
+      "Ġach ter",
+      "os as",
+      "osa s",
+      "Ġfoot note",
+      "h ani",
+      "ha ni",
+      "han i",
+      "( Parameter",
+      "ĉ Render",
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+      "Ġdifferentiate d",
+      "ĠB ison",
+      "ĠBi son",
+      "ĠBis on",
+      "Ġ ĠĠĠĠĠĠĉ",
+      "ĠĠ ĠĠĠĠĠĉ",
+      "ĠĠĠĠ ĠĠĠĉ",
+      "ĠĠĠ ĠĠĠĠĉ",
+      "ĠĠĠĠĠĠĠ ĉ",
+      "ĠĠĠĠĠ ĠĠĉ",
+      "ĠĠĠĠĠĠ Ġĉ",
+      ". population",
+      ".pop ulation",
+      "R io",
+      "- Tr",
+      "-T r",
+      "= Value",
+      "ĠL uft",
+      "ĠLu ft",
+      "ĠGiul iani",
+      "çľ Ł",
+      "C oupon",
+      "Co upon",
+      "Cou pon",
+      "Ġhac iendo",
+      "Ġhaci endo",
+      "ã ĥĿ",
+      "ãĥ Ŀ",
+      "p once",
+      "pon ce",
+      "po nce",
+      "_res idual",
+      "Ġl iá»ĩu",
+      "Ġli á»ĩu",
+      "\\ uff",
+      "\\u ff",
+      "об Ñħодим",
+      "Ġrespect o",
+      "ĠDes ired",
+      "ĠDesire d",
+      "Data Stream",
+      ".s ax",
+      ".sa x",
+      "Ġm op",
+      "Ġmo p",
+      "ĠH acker",
+      "ĠHa cker",
+      "ĠHack er",
+      "AN TA",
+      "ANT A",
+      "A nc",
+      "An c",
+      "V enta",
+      "Ven ta",
+      "Vent a",
+      "ĠWord press",
+      "ĉ effect",
+      "ĉe ffect",
+      "ad apt",
+      "ada pt",
+      "ĠInter views",
+      "ĠInterview s",
+      "Ġdraw backs",
+      "Ġdrawback s",
+      "ALL ENG",
+      "ALLE NG",
+      "Ġgéné ral",
+      "- badge",
+      "-b adge",
+      "Res istance",
+      "ĠO SI",
+      "ĠOS I",
+      "t ournament",
+      "ĠRe putation",
+      "ĠRep utation",
+      "ĠEisen hower",
+      "F iled",
+      "File d",
+      "Fi led",
+      "Fil ed",
+      "Ġhe bt",
+      "Ġheb t",
+      "# \\",
+      "create QueryBuilder",
+      "createQuery Builder",
+      "æľī æķĪ",
+      "v anced",
+      "van ced",
+      ". HasKey",
+      ".Has Key",
+      "d de",
+      "dd e",
+      "( startTime",
+      "(start Time",
+      "Ġ Installer",
+      "ĠInst aller",
+      "ĠInstall er",
+      "Ġ Impl",
+      "ĠI mpl",
+      "ĠIm pl",
+      "ĠImp l",
+      "co ach",
+      "Ġpre ached",
+      "Ġpreach ed",
+      "Ġbr ewed",
+      "Ġbre wed",
+      "Ġbrew ed",
+      "Inst aller",
+      "Install er",
+      "ol vable",
+      "olv able",
+      "Ġa las",
+      "Ġal as",
+      "( spell",
+      "(s pell",
+      "(sp ell",
+      "#### ########################",
+      "################ ############",
+      "############ ################",
+      "######################## ####",
+      "Ġdef amation",
+      "( Arg",
+      "(A rg",
+      "Ġuser Details",
+      "Ġlic ensors",
+      "Ġlicens ors",
+      "ĠInvestig ations",
+      "ĠInvestigation s",
+      "Ġd iner",
+      "Ġdi ner",
+      "Ġdin er",
+      "Ġdine r",
+      "Ġf ict",
+      "Ġfi ct",
+      "Ġfic t",
+      "S tick",
+      "St ick",
+      "Ne ighbor",
+      "to Throw",
+      "- sector",
+      "-s ector",
+      "-se ctor",
+      "Ġris ult",
+      "âĢĻ :",
+      "J NIEnv",
+      "JNI Env",
+      "yp ical",
+      "ypi cal",
+      "design ation",
+      "( wp",
+      "(w p",
+      "Ġconfirm Password",
+      "- ios",
+      "-i os",
+      "-io s",
+      "Ġ\"- \";Ċ",
+      "Ġ\"-\" ;Ċ",
+      "ĉassert NotNull",
+      "add Error",
+      "av ras",
+      "avra s",
+      "avr as",
+      "V m",
+      "( jQuery",
+      "(j Query",
+      "ĠVict ims",
+      "ĠVictim s",
+      "Ġrel iant",
+      "Ġreli ant",
+      "ĠBl itz",
+      "Ġout age",
+      "Ġfluor ide",
+      "ĠT NT",
+      "ĠTN T",
+      ". Disclaimer",
+      ".Dis claimer",
+      "ĠSN MP",
+      "v ably",
+      "Ġphot ons",
+      "Ġphoto ns",
+      "Ġphoton s",
+      ".Read AsStringAsync",
+      "S cheduled",
+      "Schedule d",
+      "Ġj ewish",
+      "Ġje wish",
+      "Ġjew ish",
+      "ĠGeoff rey",
+      "ĠGr anny",
+      "ĠGran ny",
+      "~ Ċ",
+      "- messages",
+      "-m essages",
+      "-message s",
+      "( goal",
+      "(go al",
+      "Ġ argent",
+      "Ġar gent",
+      "Ġarg ent",
+      "ĠP est",
+      "ĠPe st",
+      "ĠPes t",
+      "Ġcongrat ulate",
+      "in osaur",
+      "inos aur",
+      "Ġwh ispers",
+      "Ġwhisper s",
+      "Ġsist emas",
+      "Ġsistema s",
+      "Ġsistem as",
+      "ĠF é",
+      "/ Index",
+      ".M ILLISECONDS",
+      "Ġachie vable",
+      "ĠBritt any",
+      "++++++++++++++++ ++++++++++++++++",
+      "Ġ ReturnType",
+      "ĠReturn Type",
+      "Ġin fix",
+      "Ġinf ix",
+      ".is Success",
+      ". Categories",
+      ".C ategories",
+      "Ġout lier",
+      ". Asset",
+      ".Ass et",
+      ".As set",
+      "o tec",
+      "ot ec",
+      "ote c",
+      "Ġw izards",
+      "Ġwizard s",
+      "Ġboot loader",
+      "_ ber",
+      "_b er",
+      "_be r",
+      "Ġrehab ilit",
+      "Ġreh abilit",
+      "an tor",
+      "ant or",
+      "anto r",
+      "ĠV ivo",
+      "ĠVi vo",
+      "ĠViv o",
+      "ĠGar min",
+      "object Id",
+      "@ Path",
+      "Ġún ica",
+      "ĠYork ers",
+      "ĠYorker s",
+      "Guid Id",
+      "$ errors",
+      "$error s",
+      "Ġ+ =Ċ",
+      "Ġ+= Ċ",
+      "Ġax iom",
+      "ĠP SI",
+      "ĠPS I",
+      "ĠS ucc",
+      "ĠSu cc",
+      "ĠSuc c",
+      "ĠSp okane",
+      "Ġ' \".$_",
+      "Ġ'\".$ _",
+      "Ġ'\". $_",
+      "Ġ LN",
+      "ĠL N",
+      ".new Line",
+      "Ġinter sects",
+      "Ġintersect s",
+      "Ġinters ects",
+      "lich keit",
+      "Ġ IAM",
+      "ĠI AM",
+      "ĠIA M",
+      ".DropDown Items",
+      "Ġcourt eous",
+      "Ġcourte ous",
+      "ĠSmith sonian",
+      "Ġ Hmm",
+      "ĠH mm",
+      "Q Debug",
+      "str aight",
+      "stra ight",
+      "_ sold",
+      "_s old",
+      "_so ld",
+      "_sol d",
+      "B ulk",
+      "Bu lk",
+      "Tri State",
+      "Ġadd Button",
+      "ĠH iring",
+      "ĠHi ring",
+      "ĠHir ing",
+      "Trans pose",
+      "ĠUI TextView",
+      "ĠUIT extView",
+      "ist encia",
+      "iste ncia",
+      "isten cia",
+      "/ cpp",
+      "/c pp",
+      "Ġп олÑı",
+      "Ġпо лÑı",
+      "Ġпол Ñı",
+      "ĠCook book",
+      "/ Application",
+      "/App lication",
+      "g enic",
+      "ge nic",
+      "gen ic",
+      "ĠWoo Commerce",
+      ", vector",
+      ",v ector",
+      "ĠB ite",
+      "ĠBit e",
+      "ĠBi te",
+      ". hw",
+      ".h w",
+      "Ġd ocking",
+      "Ġdoc king",
+      "Ġdock ing",
+      "ĠTan tra",
+      "ĠS VC",
+      "ĠSV C",
+      "ĠMaur it",
+      "i alias",
+      "ial ias",
+      "ia lias",
+      "iali as",
+      "ĠA ure",
+      "ĠAu re",
+      "ĠAur e",
+      "Ġb ols",
+      "Ġbo ls",
+      "Ġbol s",
+      "LOC ITY",
+      "ĠWest brook",
+      "ĠB PM",
+      "ĠBP M",
+      "ĠF ey",
+      "ĠFe y",
+      "ĠS overe",
+      "ĠSo vere",
+      "ĠSov ere",
+      "Ġp anda",
+      "Ġpa nda",
+      "Ġpan da",
+      "Ġpand a",
+      "Ġqu izzes",
+      "Ġquiz zes",
+      "Ġc reo",
+      "Ġcr eo",
+      "Ġcre o",
+      "s peech",
+      "spe ech",
+      "/ dir",
+      "/d ir",
+      "ĠиÑģп олÑĮзов",
+      "ĠиÑģполÑĮз ов",
+      "Ġfound ational",
+      "Ġfoundation al",
+      "- append",
+      "-app end",
+      "-ap pend",
+      "n The",
+      "Ġapi Url",
+      ".X PATH",
+      "ĠL ingu",
+      "ĠLin gu",
+      "ĠLing u",
+      "ĠEx haust",
+      "P akistan",
+      "Ġ omap",
+      "Ġo map",
+      "Ġom ap",
+      "Ġoma p",
+      "Ġfont Style",
+      "е ÑģÑĤи",
+      "еÑģ ÑĤи",
+      "еÑģÑĤ и",
+      "Ġmans laughter",
+      "_ Long",
+      "_L ong",
+      "Ġcar pets",
+      "Ġcarpet s",
+      "Ġcarp ets",
+      "Ch ess",
+      "Che ss",
+      "e light",
+      "el ight",
+      "eli ght",
+      "elig ht",
+      "Drawer Toggle",
+      "ĠP atty",
+      "ĠPat ty",
+      "ĠPa tty",
+      "ĠPatt y",
+      "_cross entropy",
+      "Ġtwe aking",
+      "Ġtweak ing",
+      "ÑĤ Ñĥ",
+      "ĠCA LC",
+      "ĠCAL C",
+      "s ip",
+      "si p",
+      "ĠJ MP",
+      "ĠJM P",
+      "________________ _ĊĊ",
+      "Tree View",
+      "- wave",
+      "-w ave",
+      "Ġpast ure",
+      "Ġpas ture",
+      "elim inar",
+      "Ġ ery",
+      "Ġe ry",
+      "Ġer y",
+      "Ġrest less",
+      "ê µ¬",
+      "êµ ¬",
+      "Ġmar iage",
+      "Ġma riage",
+      "Ġmari age",
+      "ĠEl lie",
+      "ĠEll ie",
+      "ĠElli e",
+      "_ ='",
+      "_= '",
+      "Ġv min",
+      "Ġvm in",
+      "K ick",
+      "Ki ck",
+      ". toolbox",
+      ".tool box",
+      "ĠMar ino",
+      "ĠMari no",
+      "ĠMarin o",
+      "y psy",
+      "yp sy",
+      "yps y",
+      "std arg",
+      "ptr diff",
+      "ĠPe aks",
+      "ĠPeak s",
+      "_ Val",
+      "_V al",
+      "Ġin gest",
+      "Ġing est",
+      "Ġcom ps",
+      "Ġco mps",
+      "Ġcomp s",
+      "D ebe",
+      "De be",
+      "ĠDe clarations",
+      "ĠDeclaration s",
+      "ir con",
+      "irc on",
+      "= all",
+      "=a ll",
+      ".Debug f",
+      "Pred iction",
+      "Predict ion",
+      "Ġd au",
+      "Ġda u",
+      "( Member",
+      "(M ember",
+      "Ġchief ly",
+      "/ animate",
+      "/an imate",
+      ". Attach",
+      ".At tach",
+      ".Att ach",
+      "Ġgastr ic",
+      "Ġgast ric",
+      "ĠUser Details",
+      "ö ren",
+      "ör en",
+      "k oa",
+      "ko a",
+      "- boot",
+      "-b oot",
+      "-bo ot",
+      "Ġ splice",
+      "Ġsp lice",
+      "Ġspl ice",
+      "l ea",
+      "le a",
+      "o ti",
+      "ot i",
+      "[ op",
+      "[o p",
+      "S quared",
+      "Square d",
+      "Ġscroll To",
+      "ĠNew foundland",
+      "ĉ ERROR",
+      "ĉERR OR",
+      "W al",
+      "Wa l",
+      "EM ALE",
+      "EMA LE",
+      "Get Y",
+      "Ġca bins",
+      "Ġcabin s",
+      "Ġcab ins",
+      "Ġab sl",
+      "Ġabs l",
+      ".m ixer",
+      ".mix er",
+      "Ġ cdr",
+      "Ġc dr",
+      "Ġcd r",
+      "con cert",
+      "conc ert",
+      "ĠSylv ia",
+      "B K",
+      "ä»Ĭ å¹´",
+      "_CL AMP",
+      "ÑģÑĤÑĢÑĥк ÑĤоÑĢ",
+      "/ games",
+      "/g ames",
+      "/game s",
+      "Åĵ ur",
+      "< location",
+      "<l ocation",
+      "Ġclose Button",
+      "ĠHa irst",
+      "ĠHair st",
+      "ĠHai rst",
+      "ạ o",
+      "Ġcr umbling",
+      "Ġsulf ate",
+      "Ġalg uien",
+      "ĠJ DBC",
+      "ĠJD BC",
+      "ĠK v",
+      "P IP",
+      "PI P",
+      "_ surf",
+      "_s urf",
+      "_sur f",
+      "_su rf",
+      "Ġuży tk",
+      "Ġm anned",
+      "Ġman ned",
+      "Ġmann ed",
+      "ĠOcc asionally",
+      "ob js",
+      "obj s",
+      "Min imal",
+      "Mini mal",
+      "- dess",
+      "-d ess",
+      "-de ss",
+      "-des s",
+      "ĠW AV",
+      "ĠWA V",
+      "Ġ ErrorHandler",
+      "ĠError Handler",
+      "Ġset Location",
+      "Ġ iets",
+      "Ġi ets",
+      "Ġie ts",
+      "Ġsub routine",
+      "Ġtong ues",
+      "Ġtongue s",
+      "_ quiz",
+      "_qu iz",
+      "M iller",
+      "Mill er",
+      "Mi ller",
+      "Mil ler",
+      "ĠBase Type",
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+      "ĠVu ex",
+      "i rate",
+      "ir ate",
+      "ira te",
+      "Ser iously",
+      "type id",
+      "typ eid",
+      "Ġkut je",
+      "Ġpres cribing",
+      "_ survey",
+      "_s urvey",
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+      ".C t",
+      "Ġblind ly",
+      ".get Label",
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+      ",\" );Ċ",
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+      "ĠS words",
+      "ĠSw ords",
+      "ĠSword s",
+      "Sort able",
+      "ĠBlack burn",
+      "ĠM ata",
+      "ĠMat a",
+      "ĠMa ta",
+      "Ġp onds",
+      "Ġpo nds",
+      "Ġpon ds",
+      "Ġpond s",
+      "Ġprotest ors",
+      "ĠEn semble",
+      "ĠEns emble",
+      ": focus",
+      ":f ocus",
+      "Ġitalian a",
+      "Ġitalia na",
+      "Ġdorm ant",
+      "Ġdor mant",
+      "ĠN el",
+      "ĠNe l",
+      "IN CLUDE",
+      "( Conv",
+      "Ġbu flen",
+      "Ġbuf len",
+      "ĠC DN",
+      "ĠCD N",
+      ".x html",
+      "H dr",
+      "Ġcarcin oma",
+      "ĠWorce ster",
+      "n dl",
+      "nd l",
+      "use Ral",
+      "useRal ative",
+      "useRalative ImagePath",
+      "Ġtake away",
+      "element GuidId",
+      ".label X",
+      "[ ID",
+      "[I D",
+      "A LER",
+      "AL ER",
+      "ALE R",
+      "ĉ uv",
+      "ĉu v",
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+      ">( )->",
+      ">() ->",
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+      "/l i",
+      "+ len",
+      "+l en",
+      "Ġpro pel",
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+      "Ġc abo",
+      "Ġca bo",
+      "Ġcab o",
+      "\\\" \");Ċ",
+      "\\\"\" );Ċ",
+      "Ġvoc ational",
+      "- pill",
+      "-p ill",
+      ".n lm",
+      ".nl m",
+      "Ġerot ica",
+      "Ġerotic a",
+      "Ġero tica",
+      "o pot",
+      "op ot",
+      "opo t",
+      "l andscape",
+      "land scape",
+      "lands cape",
+      "in sk",
+      "ins k",
+      "Ġ placements",
+      "Ġpl acements",
+      "Ġplace ments",
+      "Ġplacement s",
+      "Ġplac ements",
+      ".set Auto",
+      "Ġhom icides",
+      "Ġhomic ides",
+      "Ġhomicide s",
+      "_Field OffsetTable",
+      ": l",
+      "Ġ annotate",
+      "Ġann otate",
+      "Ġannot ate",
+      "- rise",
+      "-r ise",
+      ", alpha",
+      "Ġinterven ing",
+      "Ġinterv ening",
+      "am bi",
+      "amb i",
+      ". ='<",
+      ".= '<",
+      ".=' <",
+      "Ġpar ler",
+      "Ġparl er",
+      "ï½¥ ï½¥",
+      "Ġcomp lying",
+      "Ġcompl ying",
+      "Ġcomply ing",
+      "- handle",
+      "-h andle",
+      "-hand le",
+      "Ġinter ruptions",
+      "Ġinterrupt ions",
+      "Ġinterruption s",
+      "p lers",
+      "pl ers",
+      "ple rs",
+      "pler s",
+      "ro ups",
+      "rou ps",
+      "roup s",
+      "_ Def",
+      "_D ef",
+      "_De f",
+      "Ġp ickerView",
+      "Ġpicker View",
+      "Ġpier ced",
+      "Ġerad icate",
+      "mo bx",
+      "mob x",
+      "[ train",
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+      "De ferred",
+      "Ġtot aled",
+      "Ġtotal ed",
+      "Child Index",
+      "ĠRecommend ations",
+      "ĠRecommendation s",
+      "_ WORDS",
+      "_WORD S",
+      "Ġsign ify",
+      "ĠA ero",
+      "ĠAer o",
+      "ĠAe ro",
+      "_ bootstrap",
+      "_boot strap",
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+      "ĉRT E",
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+      "Ġs ensed",
+      "Ġsense d",
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+      "ĠKra k",
+      "Ġunl ucky",
+      "a vic",
+      "av ic",
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+      "title Label",
+      "Ġha ystack",
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+      "ĠSl e",
+      "ĠGu inness",
+      "Ġtwe aked",
+      "Ġtweak ed",
+      "- pressure",
+      "-pres sure",
+      "_ months",
+      "_month s",
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+      "Prob ability",
+      "ĠCam pos",
+      "ĠCamp os",
+      "ĠCampo s",
+      ". CONFIG",
+      ".CON FIG",
+      "V intage",
+      "> window",
+      ">w indow",
+      "ĠFactory Bot",
+      "post gresql",
+      "postgres ql",
+      "Ġtable top",
+      "Ġtablet op",
+      "ĠC ata",
+      "ĠCa ta",
+      "ĠCat a",
+      "h oc",
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+      ".Age nt",
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+      ".m agic",
+      ".mag ic",
+      "Ġide ologies",
+      "TR ACK",
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+      "_ individual",
+      "_ind ividual",
+      "< decltype",
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+      "/ boot",
+      "/b oot",
+      ":@ {",
+      "Q M",
+      "ĠM andal",
+      "ĠMan dal",
+      "ĠMand al",
+      "N AMESPACE",
+      "NAME SPACE",
+      "Ġter cer",
+      "ĠReg gie",
+      "ĠNich olson",
+      "ĠNichols on",
+      "ĠF ulton",
+      "ĠFul ton",
+      "s taking",
+      "st aking",
+      "sta king",
+      "Ġreson ate",
+      "lp arr",
+      "Ġconvert ers",
+      "Ġconver ters",
+      "Ġconverter s",
+      "Ġ (\"/",
+      "Ġ( \"/",
+      "Ġ(\" /",
+      "ĠMarl ins",
+      "In forme",
+      "Inform e",
+      "'=> ['",
+      "Ġro bert",
+      "Ġrob ert",
+      "Ġrobe rt",
+      "ĠH IM",
+      "ĠHI M",
+      "we bs",
+      "web s",
+      ".trailing Anchor",
+      ". ascii",
+      ".asc ii",
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+      "Ġtech no",
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+      "ĉ ĠĠĠĠĠĠĠĠĊ",
+      "ĉĠĠĠ ĠĠĠĠĠĊ",
+      "ĉĠ ĠĠĠĠĠĠĠĊ",
+      "ĉĠĠĠĠĠĠĠ ĠĊ",
+      "ĉĠĠ ĠĠĠĠĠĠĊ",
+      "ĉĠĠĠĠĠ ĠĠĠĊ",
+      "ĉĠĠĠĠ ĠĠĠĠĊ",
+      "ĉĠĠĠĠĠĠ ĠĠĊ",
+      "ĉĠĠĠĠĠĠĠĠ Ċ",
+      "α ι",
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+      "(S eq",
+      "Ġ? >:</",
+      "Ġ?> :</",
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+      "ĠPe b",
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+      "JECT ED",
+      "Cast Exception",
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+      "Ġey ewitness",
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+      "Ġm eno",
+      "Ġme no",
+      "Ġmen o",
+      "ĠDam ien",
+      "_ IEnumerator",
+      "_I Enumerator",
+      "Ġ ................",
+      "Ġ........ ........",
+      "Ġ.......... ......",
+      ". SELECT",
+      ".SE LECT",
+      "Ġc ray",
+      "Ġcr ay",
+      "Ġcra y",
+      "_ paper",
+      "_p aper",
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+      "ĠSh uffle",
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+      "s igmoid",
+      "sig moid",
+      "! (\"{",
+      "!( \"{",
+      "!(\" {",
+      "ep am",
+      "Ġrich ness",
+      "Ġende avour",
+      "menu Item",
+      "ĠÐŁ олÑĥÑĩ",
+      "ĠÐŁÐ¾ лÑĥÑĩ",
+      "ĠÐŁÐ¾Ð» ÑĥÑĩ",
+      "Ġfrustr ations",
+      "Ġfrustration s",
+      "_ subscribe",
+      "_sub scribe",
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+      "Ġbo oze",
+      "Ġboo ze",
+      "ĠL icht",
+      "ĠLi cht",
+      "ĠLic ht",
+      "Ġpe asant",
+      "Ġpeas ant",
+      "Ġwe ighting",
+      "Ġweight ing",
+      "Ġweigh ting",
+      "Ġ å¿",
+      "Ġå ¿",
+      "Action Code",
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+      ".tr acks",
+      ".track s",
+      "Ġ Ãĺ",
+      "ĠÃ ĺ",
+      "Ġmillion aire",
+      "( ur",
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+      "' ])ĊĊĊ",
+      "'] )ĊĊĊ",
+      "']) ĊĊĊ",
+      "'])Ċ ĊĊ",
+      "'])ĊĊ Ċ",
+      "Ġ \".$_",
+      "Ġ\". $_",
+      "Ġ\".$ _",
+      "_E DEFAULT",
+      "_ED EFAULT",
+      "Ġc urls",
+      "Ġcur ls",
+      "Ġcurl s",
+      "_Com CallableWrapper",
+      ".set Viewport",
+      ".setView port",
+      "Ġd end",
+      "Ġde nd",
+      "Ġden d",
+      "Ġaut our",
+      "Ġauto ur",
+      "Ġau tour",
+      "ĠFour ier",
+      "ĠFou rier",
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+      "Ġboil s",
+      "ĠJ PG",
+      "ĠJP G",
+      "Ġd igs",
+      "Ġdi gs",
+      "Ġdig s",
+      "Ġcompl ains",
+      "Ġcomplain s",
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+      "-l ined",
+      "-line d",
+      "-li ned",
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+      "ĠBlade s",
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+      "_dict s",
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+      "ĠIp s",
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+      "ier ce",
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+      ".M essaging",
+      "è§ ģ",
+      "ĉ progress",
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+      "ĠStop s",
+      "ĠSto ps",
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+      "@ brief",
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+      "ĠK A",
+      "ĠRESP ONS",
+      "Ġt arg",
+      "Ġta rg",
+      "Ġtar g",
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+      "æŃ£ ç¡®",
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+      "ero t",
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+      "ĠĠĠĠĠĠĠĠ ĊĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĊĠĠĠĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĊĠĠĠĠĊ",
+      "ĠĠĠĠĠĠ ĠĠĊĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĊ ĠĠĠĠĊ",
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+      "utz t",
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+      ".is Admin",
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+      "(I C",
+      "Ġo ben",
+      "Ġob en",
+      "Ġobe n",
+      "ĠEff icient",
+      "D Device",
+      "DD evice",
+      "Ġinde mn",
+      "Ġindem n",
+      "Ġfr oze",
+      "Ġfro ze",
+      ", rp",
+      ",r p",
+      "Ġdec ember",
+      "ç» Ļ",
+      "Ġmel odies",
+      "Ġmelod ies",
+      "Ġ ETA",
+      "ĠE TA",
+      "ĠET A",
+      "ãģĵãĤĵãģ« ãģ¡ãģ¯",
+      "Ġqual che",
+      "Ġset DefaultCloseOperation",
+      "O RIA",
+      "OR IA",
+      "Ġ zag",
+      "Ġz ag",
+      "Ġza g",
+      "Ġallow ances",
+      "Ġallowance s",
+      "/ ph",
+      "/p h",
+      "- Token",
+      "-T oken",
+      "-To ken",
+      "ĠP ou",
+      "ĠPo u",
+      "Ġminist ries",
+      ". LOGIN",
+      ".LOG IN",
+      "Ġsearch Term",
+      "Ġhur ricanes",
+      "Ġhurricane s",
+      "ĠFl our",
+      "ĠFlo ur",
+      "ĠS US",
+      "ĠSU S",
+      "The mes",
+      "Th emes",
+      "Theme s",
+      "Them es",
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+      "ree ce",
+      "Ġent rev",
+      "Ġentre v",
+      "Ġentr ev",
+      "DX VECTOR",
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+      "ĠBre nda",
+      "ĠBrend a",
+      "ĠBren da",
+      "Error Msg",
+      ": )];Ċ",
+      ":) ];Ċ",
+      "Ġdo mina",
+      "Ġdom ina",
+      "Ġdomin a",
+      "ĠIn visible",
+      "ĠInv isible",
+      "< >(\"",
+      "<>( \"",
+      "<> (\"",
+      "p utc",
+      "put c",
+      "pu tc",
+      "H AVE",
+      "HA VE",
+      "HAV E",
+      "E valuator",
+      "Eval uator",
+      "m atching",
+      "match ing",
+      "mat ching",
+      "- names",
+      "-n ames",
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+      "Ġl ah",
+      "Ġla h",
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+      "æľįåĬ¡ åĻ¨",
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+      "k nowledge",
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+      "ĠAlexand re",
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+      "Ġcol eg",
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+      "o ÅĽci",
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+      ".C ho",
+      ".Ch o",
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+      "Ġsoften ed",
+      "Ġrot ates",
+      "Ġrotate s",
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+      "Ġ :)Ċ",
+      "Ġ: )Ċ",
+      "Ġ:) Ċ",
+      "Ġ acción",
+      "Ġa cción",
+      "Ġacc ión",
+      "Ġac ción",
+      "n ika",
+      "ni ka",
+      "nik a",
+      "ĠL atter",
+      "ĠLat ter",
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+      "_F loat",
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+      "Ġ} ,{",
+      "Ġ}, {",
+      "c xx",
+      "cx x",
+      "E mma",
+      "Em ma",
+      "ĠConcurrent HashMap",
+      "_ Camera",
+      "_C amera",
+      "Ġpe anuts",
+      "Ġpeanut s",
+      "Ġpea nuts",
+      "ãĤ³ ãĥ¡ãĥ³ãĥĪ",
+      "_ bed",
+      "_b ed",
+      "_be d",
+      "Ġerror Callback",
+      "ĠPap ua",
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+      "¶ ļ",
+      "Ġstadium s",
+      "Ġkn obs",
+      "Ġknob s",
+      "ific aciones",
+      "ificacion es",
+      "Ġpurpose ly",
+      "Ġpurpos ely",
+      "ĠPure Component",
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+      "Ġкл и",
+      ". Track",
+      ".T rack",
+      ".Tr ack",
+      "s sc",
+      "ss c",
+      "( Job",
+      "(J ob",
+      "( HttpContext",
+      "(Http Context",
+      "Ġchois ir",
+      "Ġ ì»",
+      "Ġì »",
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+      "Ġau sp",
+      "Ġaus p",
+      "up pen",
+      "upp en",
+      "uppe n",
+      "Ad venture",
+      "ĠFL AC",
+      "Ġapp ellant",
+      "Ġappell ant",
+      "Ġappel lant",
+      "Ġ ((\"",
+      "Ġ( (\"",
+      "Ġ(( \"",
+      "Ï ĩ",
+      "Ġt rif",
+      "Ġtr if",
+      "Ġtri f",
+      "Ġd urations",
+      "Ġduration s",
+      "Ġdur ations",
+      "ĠN GX",
+      "ĠNG X",
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+      ".b p",
+      "action Date",
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+      ".in stant",
+      ".inst ant",
+      ".ins tant",
+      "- Requested",
+      "' &&",
+      "Ġ ÑĩеÑĢ",
+      "ĠÑĩ еÑĢ",
+      "= bool",
+      "=b ool",
+      "Ġ lords",
+      "Ġl ords",
+      "Ġlord s",
+      "Ġlor ds",
+      "l icing",
+      "lic ing",
+      "li cing",
+      "Ġm arin",
+      "Ġmar in",
+      "Ġma rin",
+      "Ġmari n",
+      "Ġbl inded",
+      "Ġblind ed",
+      "/ layouts",
+      "/layout s",
+      "fe ito",
+      "feit o",
+      "izz ling",
+      "E vt",
+      "Ev t",
+      "Ġbul lish",
+      "Ġbull ish",
+      "ex clusive",
+      "âĢĻ es",
+      "âĢĻe s",
+      ".getOwnProperty Descriptor",
+      "Ġbapt ized",
+      "ĠÑģ лÑĥÑĩ",
+      "ĠÑģл ÑĥÑĩ",
+      "ĠÑģлÑĥ Ñĩ",
+      "ĠCe cil",
+      "ĠCec il",
+      ". effects",
+      ".e ffects",
+      ".effect s",
+      "Ġcrypt ographic",
+      "Ġcrypto graphic",
+      "ĠV ille",
+      "ĠVi lle",
+      "ĠVill e",
+      "ĠVil le",
+      "u ft",
+      "uf t",
+      "ĠAn them",
+      "ĠAnt hem",
+      "ĠAnth em",
+      "Ġse eker",
+      "Ġsee ker",
+      "Ġseek er",
+      "Ġnick named",
+      "Ġnickname d",
+      "Ġcamp ground",
+      "Ġaction Bar",
+      "ĠEp isodes",
+      "ĠEpisode s",
+      "Ġ --------Ċ",
+      "Ġ- -------Ċ",
+      "Ġ-- ------Ċ",
+      "Ġ---- ----Ċ",
+      "Ġ--- -----Ċ",
+      "Ġ----- ---Ċ",
+      "Ġ------ --Ċ",
+      "Ġ-------- Ċ",
+      "Ġ------- -Ċ",
+      "Builder Factory",
+      "_UNS UPPORTED",
+      "V ILLE",
+      ". Registry",
+      ".Reg istry",
+      "To night",
+      "Ton ight",
+      "Ġm aks",
+      "Ġma ks",
+      "Ġmak s",
+      "Ġ addons",
+      "Ġadd ons",
+      "Ġaddon s",
+      "Ġ Decrypt",
+      "ĠDe crypt",
+      "ĠDec rypt",
+      ". skills",
+      ".s kills",
+      ".sk ills",
+      ".skill s",
+      "( fh",
+      "(f h",
+      "Ġj ugg",
+      "Ġju gg",
+      "Ġjug g",
+      "ĠC ouples",
+      "ĠCo uples",
+      "ĠCou ples",
+      "ĠCouple s",
+      "ĠA mir",
+      "ĠAm ir",
+      "Ġ ==========",
+      "Ġ= =========",
+      "Ġ== ========",
+      "Ġ=== =======",
+      "Ġ===== =====",
+      "Ġ==== ======",
+      "Ġ======= ===",
+      "Ġ endereco",
+      "Ġend ereco",
+      ". Strings",
+      ".String s",
+      ".Str ings",
+      "Ġh arming",
+      "Ġhar ming",
+      "Ġharm ing",
+      "Ġbust ling",
+      "( firstName",
+      "(first Name",
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+      ".s parse",
+      ".sp arse",
+      "I TO",
+      "IT O",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠčĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠčĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠčĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ čĊ",
+      "æĿ¥ æºIJ",
+      "od ega",
+      "ode ga",
+      "an agan",
+      "ana gan",
+      ".Handler Func",
+      "Ġt inder",
+      "Ġti nder",
+      "Ġtin der",
+      "Ġ# (",
+      "Ġimagin able",
+      "Ġa un",
+      "Ġau n",
+      "Pres ence",
+      "Package Manager",
+      "Ġlud icrous",
+      "i ème",
+      "Ġ getObject",
+      "Ġget Object",
+      "bo xing",
+      "box ing",
+      "Ġsqu id",
+      "Ġsq uid",
+      "ê tes",
+      "ête s",
+      "êt es",
+      "Da emon",
+      "_ likes",
+      "_l ikes",
+      "_like s",
+      "_li kes",
+      "Ĩ µ",
+      "//---------------------------------------------------------------- ------------------------------------------------",
+      "//------------------------------------------------ ----------------------------------------------------------------",
+      "//-------------------------------- --------------------------------------------------------------------------------",
+      "//-------------------------------------------------------------------------------- --------------------------------",
+      "//------------------------------------------------------------------------------------------------ ----------------",
+      "//---------------- ------------------------------------------------------------------------------------------------",
+      ". www",
+      ".w ww",
+      "s sel",
+      "ss el",
+      "sse l",
+      "et ections",
+      "ete ctions",
+      "etect ions",
+      "etection s",
+      "d ae",
+      "da e",
+      "/ downloads",
+      "/download s",
+      "/down loads",
+      "Ġ Classifier",
+      "ĠClass ifier",
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+      "_SU BJECT",
+      "z ego",
+      "ze go",
+      "_GROUP S",
+      "act ices",
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+      "_lit e",
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+      "apy rus",
+      "T IMER",
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+      "\" G",
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+      "Ġpenetr ating",
+      "Ġconform ity",
+      "new line",
+      "Ġ lyn",
+      "Ġl yn",
+      "Ġly n",
+      "ĠM MP",
+      "ĠMM P",
+      "Ġ INTERFACE",
+      "ĠINTER FACE",
+      "Ġ ActionTypes",
+      "ĠAction Types",
+      "ĠActionType s",
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+      ".c riteria",
+      "á» ijng",
+      "á»ij ng",
+      "á»ijn g",
+      "Ġre stitution",
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+      "=? \";Ċ",
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+      "(per cent",
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+      "ĠAC M",
+      "ĉ ct",
+      "ĉc t",
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+      "Ġt ú",
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+      "ü rn",
+      "ür n",
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+      "ĠG ER",
+      "ĠGE R",
+      ".write Value",
+      "_ blocked",
+      "_b locked",
+      "_block ed",
+      "_bl ocked",
+      "_bloc ked",
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+      "Ġin eff",
+      "Ġine ff",
+      "ĠRad iation",
+      "ĠRadi ation",
+      "ĠO ilers",
+      "ĠOil ers",
+      "B eer",
+      "Be er",
+      "r ots",
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+      "Ġpunishment s",
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+      "ĠMcK ay",
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+      "_s u",
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+      "Ġatl east",
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+      "ĠYa o",
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+      "ĠHa upt",
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+      "ĠSA C",
+      "ĠLe gs",
+      "ĠLeg s",
+      "b ite",
+      "bit e",
+      "bi te",
+      "Ġlog arith",
+      "ĠI Message",
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+      "Ġgd k",
+      "ìľ¼ ë©´",
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+      ".ex clude",
+      ".exc lude",
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+      "Ġpar d",
+      "Ġpa rd",
+      "Ġimpe dance",
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+      "Ġda gen",
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+      "ke las",
+      "kel as",
+      "Ġing resar",
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+      "Ġingr esar",
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+      "ĠBR AND",
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+      "Ġн ап",
+      "Ġна п",
+      "ĠTH AN",
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+      "################################################ ########",
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+      "######################## ################################",
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+      "Ġ поÑĢ",
+      "Ġп оÑĢ",
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+      "Ġret ali",
+      "Ġretal i",
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+      "ĉg r",
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+      "LE E",
+      "Ġca ÅĤ",
+      "ĠJo anna",
+      "ĠJoan na",
+      "á»Ń a",
+      "h hh",
+      "hh h",
+      "Ġsql Session",
+      "ı kl",
+      "ık l",
+      "Com poser",
+      "Comp oser",
+      "Compose r",
+      "Ġcurrent Player",
+      "ag ini",
+      "agi ni",
+      "ĠBar bar",
+      "ĠBarb ar",
+      "ĠHello World",
+      "loom berg",
+      ". Here",
+      ".H ere",
+      ".He re",
+      "Ġdisg usted",
+      "Ġdisgu sted",
+      "Ġdisgust ed",
+      "ĉ ĉĉĉĉĉĠĠĠĠ",
+      "ĉĉ ĉĉĉĉĠĠĠĠ",
+      "ĉĉĉĉ ĉĉĠĠĠĠ",
+      "ĉĉĉ ĉĉĉĠĠĠĠ",
+      "ĉĉĉĉĉ ĉĠĠĠĠ",
+      "ĉĉĉĉĉĉ ĠĠĠĠ",
+      "ĉĉĉĉĉĉĠ ĠĠĠ",
+      "ĉĉĉĉĉĉĠĠ ĠĠ",
+      "ĉĉĉĉĉĉĠĠĠ Ġ",
+      "o kus",
+      "ok us",
+      "oku s",
+      "V eter",
+      "Ve ter",
+      "Ġch ops",
+      "Ġcho ps",
+      "Ġchop s",
+      "ĠFOR WARD",
+      "ĠE ig",
+      "ĠPartial View",
+      "Ġim poss",
+      "Ġimp oss",
+      "Ġcon sequential",
+      "Ġconsequ ential",
+      "Ġconse quential",
+      "Ġ[ '#",
+      "Ġ[' #",
+      "ĉ logging",
+      "ĉlog ging",
+      "ĠE lis",
+      "ĠEl is",
+      "ĠEli s",
+      "pr ocs",
+      "pro cs",
+      "proc s",
+      ", </",
+      ",< /",
+      "_ pins",
+      "_p ins",
+      "_pin s",
+      "_pi ns",
+      "\\ Doctrine",
+      "U vs",
+      "Ġ GIT",
+      "ĠG IT",
+      "ĠGI T",
+      "Ġ tah",
+      "Ġt ah",
+      "Ġta h",
+      "( rules",
+      "(r ules",
+      "(rule s",
+      "create From",
+      "Ġ'- ')Ċ",
+      "Ġ'-' )Ċ",
+      "Ġ'-') Ċ",
+      "han dling",
+      "hand ling",
+      "external ActionCode",
+      "RO DUCTION",
+      "For Resource",
+      "s burg",
+      "sb urg",
+      "< TextView",
+      "<T extView",
+      "<Text View",
+      "think able",
+      "ang ling",
+      "angl ing",
+      "Ġ\" }\\",
+      "Ġ\"} \\",
+      "P RS",
+      "PR S",
+      "Appro val",
+      "Ġk lient",
+      "Ġkl ient",
+      "Ġkli ent",
+      "n oun",
+      "no un",
+      "nou n",
+      "ĠDiamond s",
+      "ĠDia monds",
+      "H G",
+      "ĠTr ibal",
+      "ĠTri bal",
+      "ĠTrib al",
+      ". px",
+      ".p x",
+      "Ġprop Name",
+      "Ġh ely",
+      "Ġhe ly",
+      "Ġhel y",
+      "л иÑĩ",
+      "ли Ñĩ",
+      "ĠBout ique",
+      "\" );}Ċ",
+      "\") ;}Ċ",
+      "\"); }Ċ",
+      "/ host",
+      "/h ost",
+      "Ġstatus Bar",
+      "> Data",
+      ">D ata",
+      "Ġdis content",
+      "Ġdisc ontent",
+      "Ġf rail",
+      "Ġfr ail",
+      "Ġfra il",
+      ".element At",
+      "Ġem anc",
+      "Ġeman c",
+      "ĉ fun",
+      "ĉf un",
+      "att les",
+      "attle s",
+      "Ġprop ulsion",
+      "Ġinterchange able",
+      "ĠTamb ién",
+      "Ġv ener",
+      "Ġve ner",
+      "Ġven er",
+      "Ġvene r",
+      "_ LOWER",
+      "_L OWER",
+      "_LO WER",
+      "_LOW ER",
+      "Ġ pdo",
+      "Ġp do",
+      "Ġpd o",
+      "Ġdeter gent",
+      "Ġt avern",
+      "Ġta vern",
+      "Ġtav ern",
+      "Ven ue",
+      ".j asper",
+      "y tt",
+      "yt t",
+      "ĠJ ihad",
+      "ĠJi had",
+      "âĢĻ Ãł",
+      "Ġmedia Player",
+      "? p",
+      "p cf",
+      "pc f",
+      "and oned",
+      "ando ned",
+      "andon ed",
+      "Ġrece ber",
+      "Ġrecebe r",
+      "O TP",
+      "OT P",
+      "( iOS",
+      "(i OS",
+      "(' ${",
+      "('$ {",
+      "P ts",
+      "Pt s",
+      "Ġmanager ial",
+      "Ġmanage rial",
+      "ĠT ud",
+      "ĠTu d",
+      "ĠW ELL",
+      "ĠWE LL",
+      "o ze",
+      "oz e",
+      "ĠAnt oine",
+      "Ġ\\ \\Ċ",
+      "Ġ\\\\ Ċ",
+      "Ġ Vect",
+      "ĠV ect",
+      "ĠVec t",
+      "ĠVe ct",
+      "ĠW imbledon",
+      "is met",
+      "ism et",
+      "isme t",
+      "Ġboth ering",
+      "Ġbother ing",
+      "i osis",
+      "io sis",
+      "ios is",
+      "get Method",
+      "Ġinput Data",
+      "Ġ Binder",
+      "ĠB inder",
+      "ĠBi nder",
+      "ĠBind er",
+      "ĠBin der",
+      "Ġd ct",
+      "Ġdc t",
+      "á ln",
+      "ál n",
+      "_B OLD",
+      "_BO LD",
+      "ĠJu gend",
+      "ĠJug end",
+      "ĠBegin ners",
+      "ĠBeginner s",
+      "i oms",
+      "io ms",
+      "iom s",
+      "Ġrelent lessly",
+      "Ġrelentless ly",
+      "ĠMon days",
+      "ĠMonday s",
+      "ĠMond ays",
+      "ä¼ ĺ",
+      "Tom orrow",
+      "ĠS amp",
+      "ĠSam p",
+      "ĠSa mp",
+      "\\ Persistence",
+      "\\P ersistence",
+      "M ASTER",
+      "MA STER",
+      "MAS TER",
+      "( predictions",
+      "(pre dictions",
+      "(pred ictions",
+      "(predict ions",
+      "(prediction s",
+      "( numero",
+      "(num ero",
+      ".t witch",
+      ".tw itch",
+      ".Re strict",
+      ".Restr ict",
+      "Ġ ZZ",
+      "ĠZ Z",
+      "ĠM LM",
+      "ĠML M",
+      ". Small",
+      ".S mall",
+      ".Sm all",
+      "] byte",
+      "Ġ ViewPager",
+      "ĠView Pager",
+      "ĠAg encies",
+      "Ġparticip ates",
+      "Ġparticipate s",
+      "ĠinitWith Style",
+      "% X",
+      "Ġ `,",
+      "Ġ` ,",
+      ". Obj",
+      ".O bj",
+      "Ġ ?\");Ċ",
+      "Ġ? \");Ċ",
+      "Car eer",
+      "Care er",
+      "Ġ< %=",
+      "Ġ<% =",
+      "k ul",
+      "ku l",
+      "Cpp I",
+      "ĠMush room",
+      "u rat",
+      "ur at",
+      "ura t",
+      "m ia",
+      "mi a",
+      "C d",
+      "ar duino",
+      "ardu ino",
+      "Ġcountry Code",
+      "_ placement",
+      "_pl acement",
+      "_place ment",
+      "(\" ================",
+      "- bel",
+      "-b el",
+      "-be l",
+      "Assert ions",
+      "Assertion s",
+      "Ġpró xima",
+      "( )\")Ċ",
+      "() \")Ċ",
+      "()\" )Ċ",
+      "_ eg",
+      "_e g",
+      "SS IP",
+      "SSI P",
+      "u ze",
+      "uz e",
+      "pl acer",
+      "place r",
+      "pla cer",
+      "amb iguous",
+      "_INITIALIZ ER",
+      "_INITIAL IZER",
+      "ĠH ats",
+      "ĠHa ts",
+      "ĠHat s",
+      "ĠGO OGLE",
+      "Ġag itation",
+      "( mutex",
+      "(m utex",
+      "(mu tex",
+      "(mut ex",
+      "H IGH",
+      "HI GH",
+      ": \")",
+      ":\" )",
+      "Ġinv aders",
+      "Ġinvade rs",
+      "Ġ )}ĊĊ",
+      "Ġ) }ĊĊ",
+      "Ġ)}Ċ Ċ",
+      ". manual",
+      ".man ual",
+      "ĠSie mens",
+      "ĠSi emens",
+      "ĉJ Panel",
+      "bind ung",
+      "ec era",
+      "ece ra",
+      "ecer a",
+      "/ met",
+      "/m et",
+      "/me t",
+      "Ġ éc",
+      "Ġé c",
+      "( station",
+      "(st ation",
+      "(stat ion",
+      "Ġpos ición",
+      "Ġposi ción",
+      "_ issues",
+      "_issue s",
+      "_ aliases",
+      "_alias es",
+      "_top ology",
+      "ĠAuto desk",
+      "ĠAut odesk",
+      "Ack nowled",
+      "!* \\Ċ",
+      "ĠFr eight",
+      "ĠFre ight",
+      "ĠF XMLLoader",
+      "ic hel",
+      "ich el",
+      "iche l",
+      "(Chat Color",
+      "Ġdiss oci",
+      "Ġanal ogue",
+      "Ġanalog ue",
+      "Ġana logue",
+      "< usize",
+      "<u size",
+      "- ev",
+      "-e v",
+      "Ġten dr",
+      "Ġtend r",
+      "> All",
+      ">A ll",
+      "ĠUS ERS",
+      "ĠUSE RS",
+      "ĠUSER S",
+      ". resp",
+      ".re sp",
+      ".r esp",
+      ".res p",
+      "_ integration",
+      "_int egration",
+      "Display Style",
+      "FAIL URE",
+      "Ñĩ иÑĤ",
+      "Ñĩи ÑĤ",
+      "il ded",
+      "ild ed",
+      "ilde d",
+      "_sem aphore",
+      "ac ademic",
+      "acad emic",
+      "Ġs clerosis",
+      "Ġscl erosis",
+      "F al",
+      "Fa l",
+      ", st",
+      ",s t",
+      "` =",
+      "if ton",
+      "ift on",
+      "Ġsubstitute s",
+      "Ġsubstit utes",
+      "ĠSupport ers",
+      "app licant",
+      "( kv",
+      "(k v",
+      "ĠBerm uda",
+      "Ġdiscrepan cies",
+      ". Solid",
+      ".S olid",
+      ".So lid",
+      "ween ey",
+      "Ġg ul",
+      "Ġgu l",
+      "Ġfile type",
+      "Ġfil etype",
+      "Ġresult at",
+      "Sender Id",
+      "Ġgez ocht",
+      "ĠBerk shire",
+      "Ġ (\"<",
+      "Ġ( \"<",
+      "Ġ(\" <",
+      "( ml",
+      "(m l",
+      "( shift",
+      "(s hift",
+      "(sh ift",
+      "_RE DIRECT",
+      "_RED IRECT",
+      "OL ON",
+      "/ browse",
+      "/b rowse",
+      ":NS MakeRange",
+      "Ġwa ive",
+      "Ġe xce",
+      "Ġex ce",
+      "Ġexc e",
+      "Ġcatalog s",
+      "Ġcata logs",
+      "Ġcatal ogs",
+      "ä¹ ¦",
+      "ill ions",
+      "illion s",
+      "illi ons",
+      ".GetCurrent Method",
+      "Ġb ilingual",
+      "ĠCascade Type",
+      "ĉ Transform",
+      "_CUSTOM ER",
+      "is ify",
+      "isi fy",
+      "Ġб л",
+      "ĠWho ever",
+      "Ġ EAR",
+      "ĠE AR",
+      "ĠEA R",
+      "Ġ[ =[",
+      "Ġ[= [",
+      "Ġмож но",
+      "Ġмо жно",
+      "Ġj ardin",
+      "Ġjar din",
+      "@ show",
+      "@s how",
+      "Ġhe irs",
+      "Ġheir s",
+      "Ġhei rs",
+      "Ġabandon ment",
+      "ĠTrans cript",
+      "ĠTran script",
+      "] ^",
+      ":Set Point",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "ĠF action",
+      "ĠFac tion",
+      "ĠFa ction",
+      "ĠFact ion",
+      "( entities",
+      "(ent ities",
+      "f action",
+      "fa ction",
+      "fac tion",
+      "fact ion",
+      "m tx",
+      "mt x",
+      "_ recall",
+      "_re call",
+      "_rec all",
+      ". NULL",
+      ".N ULL",
+      ". optional",
+      ".opt ional",
+      ".option al",
+      "( prediction",
+      "(pred iction",
+      "(predict ion",
+      "AG ENT",
+      "AGE NT",
+      "ĠðŁĺ Ģ",
+      "âĢĻ y",
+      "âĢĻ util",
+      "Ġan gst",
+      "Ġang st",
+      ". Experimental",
+      ".Ex perimental",
+      "h oot",
+      "ho ot",
+      "hoo t",
+      "asy arak",
+      "aut oplay",
+      "auto play",
+      "autop lay",
+      "ĠSplash Screen",
+      "Ġhe ctic",
+      "Ġhect ic",
+      "Ġmetic ulously",
+      "Ġmeticulous ly",
+      "Ġc omer",
+      "Ġcom er",
+      "Ġco mer",
+      "Ġcome r",
+      "Ke ith",
+      "Ġf rase",
+      "Ġfr ase",
+      "Ġfra se",
+      "_UN IQUE",
+      ".M agenta",
+      "( Max",
+      "(M ax",
+      "Ġscale Y",
+      "Ġp utt",
+      "Ġput t",
+      "Ġpu tt",
+      "( IF",
+      "(I F",
+      "Ġ APPLE",
+      "ĠAP PLE",
+      "ĠAPP LE",
+      "P orno",
+      "Por no",
+      "Porn o",
+      ".add Cell",
+      "Ġm olt",
+      "Ġmo lt",
+      "Ġmol t",
+      "ch imp",
+      "chi mp",
+      "Ġleg gings",
+      "Ġf lop",
+      "Ġfl op",
+      "Ġflo p",
+      "âĢĻh ui",
+      "RT OS",
+      "/ span",
+      "/s pan",
+      "/sp an",
+      ". bed",
+      ".b ed",
+      ".be d",
+      ". Logic",
+      ".Log ic",
+      "Ġun translated",
+      "C LEAR",
+      "CL EAR",
+      "CLE AR",
+      "; left",
+      ";l eft",
+      "ĠB FS",
+      "ĠBF S",
+      "- groups",
+      "-g roups",
+      "-group s",
+      "t ook",
+      "to ok",
+      "too k",
+      "_ accepted",
+      "_accept ed",
+      "Ġcash ier",
+      "event Id",
+      "Ġdown grade",
+      "ĉ ĉĉĉĉĉĉĉĉĉĉĊ",
+      "ĉĉ ĉĉĉĉĉĉĉĉĉĊ",
+      "ĉĉĉĉ ĉĉĉĉĉĉĉĊ",
+      "ĉĉĉ ĉĉĉĉĉĉĉĉĊ",
+      "ĉĉĉĉĉ ĉĉĉĉĉĉĊ",
+      "ĉĉĉĉĉĉ ĉĉĉĉĉĊ",
+      "ĉĉĉĉĉĉĉĉ ĉĉĉĊ",
+      "ĉĉĉĉĉĉĉ ĉĉĉĉĊ",
+      "ĉĉĉĉĉĉĉĉĉ ĉĉĊ",
+      "ĉĉĉĉĉĉĉĉĉĉ ĉĊ",
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+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠčĊ",
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+      ".') ;",
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+      "Ġende mic",
+      "R aised",
+      "Ra ised",
+      "Raise d",
+      "Ġquery Interface",
+      "Ġm artin",
+      "Ġmar tin",
+      "Ġmart in",
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+      "Ġ hare",
+      "Ġh are",
+      "Ġhar e",
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+      "my file",
+      "Ġang uish",
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+      "( LogLevel",
+      "(Log Level",
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+      "/ stats",
+      "/st ats",
+      "/stat s",
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+      "Ġп ов",
+      "Ġпо в",
+      "Ġit ens",
+      "Ġden omination",
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+      "Ġdenomin ation",
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+      "_ LR",
+      "_L R",
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+      ".li sts",
+      "( Route",
+      "(R oute",
+      "ĠGOOD MAN",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
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+      "Ġne sts",
+      "Ġnest s",
+      "Ġnes ts",
+      "ĠPat ton",
+      "ĠPatt on",
+      "ĠH ACK",
+      "ĠHA CK",
+      "p acking",
+      "pack ing",
+      "pac king",
+      "I Service",
+      "IS ervice",
+      "Ġr ocker",
+      "Ġro cker",
+      "Ġrock er",
+      "Ġroc ker",
+      "Ġf ica",
+      "Ġfi ca",
+      "Ġfic a",
+      "ĠGl adiator",
+      "ĠGlad iator",
+      "ĠU PC",
+      "ĠUP C",
+      "ĠL owell",
+      "ĠLo well",
+      "ĠLow ell",
+      "ĠLowe ll",
+      "b earer",
+      "be arer",
+      "bear er",
+      "Ġv iper",
+      "Ġvi per",
+      "Ġvip er",
+      "_ glob",
+      "_g lob",
+      "_gl ob",
+      "Ġm ashed",
+      "Ġma shed",
+      "Ġmas hed",
+      "Ġmash ed",
+      "Ġhair style",
+      "Ġhairst yle",
+      "Ġundermin es",
+      "Ġundermine s",
+      "rest aurants",
+      "restaurant s",
+      "Ġreaction ary",
+      "Ġbill ig",
+      "Ġbil lig",
+      "} \");čĊ",
+      "}\" );čĊ",
+      "}\") ;čĊ",
+      "Ġv istas",
+      "Ġvis tas",
+      "Ġvista s",
+      "Ġop endir",
+      "Ġopen dir",
+      "ĉ labels",
+      "ĉlabel s",
+      "al lis",
+      "all is",
+      "alli s",
+      "ĠWolf f",
+      "ĠWol ff",
+      "ĠC PC",
+      "ĠCP C",
+      "Ġrail ways",
+      "Ġrailway s",
+      "ĠVaugh an",
+      "ĠAs king",
+      "ĠAsk ing",
+      "c ai",
+      "ca i",
+      "ĠG n",
+      "_PRO F",
+      "_PR OF",
+      "- Sep",
+      "-S ep",
+      "-Se p",
+      ". curve",
+      ".c urve",
+      ".cur ve",
+      "M ultiply",
+      "Multi ply",
+      "Multip ly",
+      "ÑĢ аниÑĨ",
+      "ÑĢа ниÑĨ",
+      "ÑĢан иÑĨ",
+      "Ġmeet up",
+      "get Db",
+      "( GUI",
+      "(G UI",
+      "Ġreim burse",
+      "Ġreimb urse",
+      ": result",
+      "T umblr",
+      ". Closed",
+      ".C losed",
+      ".Close d",
+      ".Cl osed",
+      "Ġcon forms",
+      "Ġconform s",
+      "ĠH ok",
+      "ĠHo k",
+      "ied ade",
+      "iedad e",
+      "New Label",
+      "Ġnav Ctrl",
+      "Do ctors",
+      "Doc tors",
+      "Doctor s",
+      "Ġ ìķĪ",
+      "Ġìķ Ī",
+      "Ġb outs",
+      "Ġbo uts",
+      "Ġbout s",
+      "Ġbou ts",
+      "Ġ isc",
+      "Ġis c",
+      "Ġi sc",
+      "/ ';ĊĊ",
+      "/' ;ĊĊ",
+      "/';Ċ Ċ",
+      "u hl",
+      "uh l",
+      ". Ui",
+      ".U i",
+      "-s ama",
+      "Ġ Canonical",
+      "ĠCan onical",
+      "ĠCanon ical",
+      "Ġmetic ulous",
+      "Ġgr otes",
+      "Ġgro tes",
+      "Ġgrote s",
+      "Ġ// ////////////////////////////////////////////////////////////////////",
+      "Ġ////////////////// ////////////////////////////////////////////////////",
+      "Ġ////// ////////////////////////////////////////////////////////////////",
+      "Ġ////////// ////////////////////////////////////////////////////////////",
+      "e tes",
+      "et es",
+      "ete s",
+      "Ġlang ue",
+      "Ġlan gue",
+      "Ġlangu e",
+      "Ġf Chain",
+      "ĠType face",
+      "ĠBr igham",
+      "ĠBrig ham",
+      "i are",
+      "ia re",
+      "iar e",
+      "'ét ait",
+      "Ġ EFF",
+      "ĠE FF",
+      "ĠEF F",
+      "Ġdestroy er",
+      "_mat rices",
+      "N úmero",
+      "call able",
+      "_period s",
+      "st ruk",
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+      "m aj",
+      "ma j",
+      ". rl",
+      ".r l",
+      ". lift",
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+      ".li ft",
+      "ÙĬ ÙĦ",
+      "Ã IJ",
+      "Ret Val",
+      "Den ver",
+      "ĠTrib ute",
+      "k iye",
+      "ki ye",
+      "z ew",
+      "ze w",
+      "ĠS pare",
+      "ĠSp are",
+      "ĠSpa re",
+      "ĠSpar e",
+      "Ġleuk emia",
+      "Ġwait ress",
+      "Ġplut ôt",
+      "Ali ases",
+      "Alias es",
+      "ĠL ocate",
+      "ĠLo cate",
+      "ĠLoc ate",
+      "æ ¶",
+      "Ident ification",
+      ". tel",
+      ".t el",
+      ".te l",
+      "- days",
+      "-d ays",
+      "-day s",
+      "-da ys",
+      "ter rit",
+      "terr it",
+      "im bus",
+      "imb us",
+      "ĠButter Knife",
+      "ëĤ ´",
+      "rupt cy",
+      "ĠG rades",
+      "ĠGr ades",
+      "ĠGrad es",
+      "ĠGrade s",
+      "ĠGra des",
+      "Ġunder side",
+      "Ġunders ide",
+      "Ġhard ships",
+      "Ġhardship s",
+      "un ei",
+      "une i",
+      "- contained",
+      "-cont ained",
+      "Ġ[ '.",
+      "Ġ[' .",
+      "Ob solete",
+      ".R etrofit",
+      "Ġur anus",
+      "_ rgba",
+      "_r gba",
+      "_rgb a",
+      "_rg ba",
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+      "ĠKar e",
+      "ĠKa re",
+      "[âĢ¦ ]",
+      "ĠF inch",
+      "ĠFin ch",
+      ".bunifu FlatButton",
+      "quis ar",
+      "qui sar",
+      "quisa r",
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+      "ega de",
+      "Ġ hn",
+      "Ġh n",
+      "Ex clude",
+      "Exc lude",
+      "Ġst ochastic",
+      "Ġs otto",
+      "ĠPen alty",
+      "ĠPenal ty",
+      "Ġso nst",
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+      "Ġsons t",
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+      "Ġros a",
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+      "_F ind",
+      "ĠIn validate",
+      "ĠInvalid ate",
+      "ListItem Icon",
+      "', ččĊ",
+      "_p du",
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+      "ajÄħ c",
+      "Ġ Oops",
+      "ĠO ops",
+      "ĠNot ices",
+      "ĠNotice s",
+      "Ġder ivation",
+      "Ġderiv ation",
+      "[ ]čĊ",
+      "[] čĊ",
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+      "èº «",
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+      "ys tery",
+      "yster y",
+      "_ five",
+      "_f ive",
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+      "=e vent",
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+      "Ġo gr",
+      "Ġog r",
+      "- REAL",
+      "ĠL ips",
+      "ĠLi ps",
+      "ĠLip s",
+      "select ors",
+      "selector s",
+      "sel ectors",
+      "ad ier",
+      "adi er",
+      "ĠsetBackground Image",
+      "( thing",
+      "(th ing",
+      "Ġsoft ball",
+      "\\ xaa",
+      "\\x aa",
+      "\\xa a",
+      "( ident",
+      "(i dent",
+      "(id ent",
+      "ĠJ ury",
+      "ĠJu ry",
+      "ĠJur y",
+      "ĠVoy age",
+      "ĠT Array",
+      "ĠTA rray",
+      "( Paint",
+      "(P aint",
+      "W arm",
+      "War m",
+      "Wa rm",
+      "EX TERNAL",
+      "EXTERN AL",
+      "a su",
+      "as u",
+      "Ġ(! ((",
+      "Ġ(!( (",
+      ". FETCH",
+      ".F ETCH",
+      "Ġsk irm",
+      "Ġski rm",
+      "O RED",
+      "OR ED",
+      "ORE D",
+      "cancel led",
+      "it tel",
+      "itt el",
+      "itte l",
+      "Ġse edu",
+      "Ġsee du",
+      "Ġseed u",
+      "lic hes",
+      "li ches",
+      "lich es",
+      "liche s",
+      "o ho",
+      "oh o",
+      ", retain",
+      ",re tain",
+      "( WebDriver",
+      "(Web Driver",
+      "ip tables",
+      "ipt ables",
+      "ER ICA",
+      "ERIC A",
+      "Ġclean liness",
+      "ello world",
+      "ellow orld",
+      "Ġco hesion",
+      "Ġcoh esion",
+      "g ist",
+      "gi st",
+      "gis t",
+      "] .'",
+      "]. '",
+      "er ging",
+      "erg ing",
+      "Ġ isp",
+      "Ġis p",
+      "Ġi sp",
+      ".offset Top",
+      "( factor",
+      "(f actor",
+      "un iversal",
+      "Ġ Playback",
+      "ĠPlay back",
+      "ĠByte String",
+      "Ġdam ning",
+      "Ġdamn ing",
+      "ĠS SR",
+      "ĠSS R",
+      "a cus",
+      "ac us",
+      "ĠSt aten",
+      "ĠState n",
+      "ĠStat en",
+      "ĠSta ten",
+      "Ġ åķĨåĵģ",
+      "ĠåķĨ åĵģ",
+      "ĠP ee",
+      "ĠPe e",
+      "Ġ Sampling",
+      "ĠS ampling",
+      "ĠSam pling",
+      "ĠSamp ling",
+      "at oria",
+      "ator ia",
+      "ato ria",
+      "atori a",
+      "start Index",
+      "åIJ «",
+      "Ġì´Ī 기",
+      "ĠOlive ira",
+      "ĠF lake",
+      "ĠFl ake",
+      "ĠFla ke",
+      "b oom",
+      "bo om",
+      "boo m",
+      "_M SK",
+      "_MS K",
+      "Ġ Facing",
+      "ĠF acing",
+      "ĠFac ing",
+      "ĠFa cing",
+      "orgh ini",
+      "f oods",
+      "fo ods",
+      "foo ds",
+      "food s",
+      "Tree WidgetItem",
+      "ĠHAL F",
+      "ĠHA LF",
+      "\"\" \")Ċ",
+      "\"\"\" )Ċ",
+      "Ġ CHAPTER",
+      "ĠCH APTER",
+      "ĠEv elyn",
+      "ĠEve lyn",
+      "ĠEvel yn",
+      "> +",
+      "ĠHor nets",
+      "ĠHorn ets",
+      "w oke",
+      "wo ke",
+      "Ġ /[",
+      "Ġ/ [",
+      "ath olic",
+      ". segments",
+      ".se gments",
+      ".segment s",
+      ".navigate ByUrl",
+      "ĠM anus",
+      "ĠMan us",
+      "Ġpe ptides",
+      "Ġpeptide s",
+      "Ġfle eting",
+      "Ġfleet ing",
+      "Ġflee ting",
+      "ĠA TV",
+      "ĠAT V",
+      "ĠS hib",
+      "ĠSh ib",
+      "ĠShi b",
+      "Int Array",
+      "Ġ moz",
+      "Ġm oz",
+      "Ġmo z",
+      "pro blems",
+      "prob lems",
+      "problem s",
+      "o gne",
+      "og ne",
+      "ogn e",
+      ". Other",
+      ".O ther",
+      "Admin istration",
+      "Administr ation",
+      "%% */",
+      "\" ]==",
+      "\"] ==",
+      "\"]= =",
+      "ĠAnd res",
+      "ĠAndre s",
+      "ĠAndr es",
+      "A da",
+      "Ad a",
+      "h ints",
+      "hi nts",
+      "hin ts",
+      "hint s",
+      "\\\" \";Ċ",
+      "\\\"\" ;Ċ",
+      "( png",
+      "(p ng",
+      "Ġ ê°ĢëĬ¥",
+      "Ġê°Ģ ëĬ¥",
+      "ãĥ Ĭ",
+      "re jected",
+      "reject ed",
+      "rej ected",
+      "Ġm overs",
+      "Ġmov ers",
+      "Ġmove rs",
+      "Ġmo vers",
+      "Ġmover s",
+      "çİ ĩ",
+      "Ġparen thesis",
+      "(assign s",
+      "E lite",
+      "El ite",
+      "Rem inder",
+      "Ġsuffer ers",
+      "ĠResource Bundle",
+      "th ag",
+      "tha g",
+      "> 'čĊ",
+      ">' čĊ",
+      "ant ino",
+      "anti no",
+      "Per iph",
+      "ĠS hard",
+      "ĠSh ard",
+      "ĠSha rd",
+      "ĠShar d",
+      "Chart Data",
+      "( jj",
+      "(j j",
+      "Ġ ostat",
+      "Ġo stat",
+      "Ġos tat",
+      "Ġost at",
+      "h uge",
+      "hu ge",
+      "-auth ored",
+      "-author ed",
+      ". ci",
+      ".c i",
+      "Ġpy mysql",
+      "Ġpym ysql",
+      "Ġl iners",
+      "Ġli ners",
+      "Ġline rs",
+      "Ġlin ers",
+      "Ġliner s",
+      "Ġ ATS",
+      "ĠA TS",
+      "ĠAT S",
+      "> Last",
+      ">L ast",
+      ") \")ĊĊ",
+      ")\" )ĊĊ",
+      ")\")Ċ Ċ",
+      ")\") ĊĊ",
+      "Ġget pid",
+      "Get Size",
+      "Ġext ortion",
+      "[ float",
+      "[f loat",
+      "ĠE INA",
+      "ĠEI NA",
+      "/ Base",
+      "/B ase",
+      ".setOn Action",
+      "о лÑı",
+      "ол Ñı",
+      "ĠGl acier",
+      "_ az",
+      "_a z",
+      "Ġtrans porte",
+      "Ġtransport e",
+      "ĠS ms",
+      "ĠSm s",
+      "th umbs",
+      "thumb s",
+      "Ġtre asurer",
+      "Ġtreasure r",
+      "Ġm z",
+      "is tik",
+      "ist ik",
+      "isti k",
+      "RED IENT",
+      "Ġ isi",
+      "Ġis i",
+      "Ġi si",
+      "_ stuff",
+      "_st uff",
+      "POSIT ORY",
+      "start date",
+      "ĠZ inc",
+      "ĠZi nc",
+      "æ± ½",
+      "Ġk ak",
+      "Ġka k",
+      "Ġer fahren",
+      "Ġerf ahren",
+      "_COM BO",
+      "Ġuc words",
+      ". Pay",
+      ".P ay",
+      "Ġkingdom s",
+      "Ġexcel ente",
+      "ig nite",
+      "ign ite",
+      "_ variation",
+      "_var iation",
+      "Ġnaveg ador",
+      "ä¸ ĵ",
+      "view Controller",
+      "r ire",
+      "ri re",
+      "rir e",
+      "H onestly",
+      "C ascade",
+      "Cas cade",
+      "e train",
+      "et rain",
+      "etr ain",
+      "Arg entina",
+      "c q",
+      "ĠM arian",
+      "ĠMar ian",
+      "ĠMa rian",
+      "ĠMaria n",
+      "ĠMari an",
+      "/ ar",
+      "/a r",
+      "Ġinter esse",
+      "Ġinte resse",
+      "Ġinteress e",
+      "Ġinteres se",
+      "ur ahan",
+      "ura han",
+      "( PC",
+      "(P C",
+      "Ġfr ivol",
+      "Ġfri vol",
+      "ĠTr usted",
+      "ĠTrust ed",
+      "ĠTru sted",
+      "(I Configuration",
+      "ĠR ihanna",
+      "endo za",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "Ġpro clamation",
+      "Ġpredomin ant",
+      "Ġ consts",
+      "Ġcon sts",
+      "Ġconst s",
+      "Ġcons ts",
+      "- neck",
+      "-n eck",
+      "-ne ck",
+      "W olf",
+      "Wo lf",
+      ". checkbox",
+      ".check box",
+      "Ġst anza",
+      "Ġstan za",
+      "Ġent ender",
+      "Ġentend er",
+      "/ /(",
+      "// (",
+      "H ands",
+      "Hand s",
+      "Ha nds",
+      "Han ds",
+      "Ġbill eder",
+      "Ġbilled er",
+      "ĠTos hiba",
+      "abb ix",
+      "ENC IES",
+      "Ġj im",
+      "Ġji m",
+      "P UR",
+      "PU R",
+      ". lesson",
+      ".l esson",
+      ".le sson",
+      ".less on",
+      "Ġber th",
+      "Ġbert h",
+      "lar ın",
+      "ları n",
+      "B lo",
+      "Bl o",
+      "ĉ ext",
+      "ĉe xt",
+      "ĉex t",
+      "e el",
+      "ee l",
+      "Ġdem asi",
+      "Ġcolon ization",
+      "/ disc",
+      "/d isc",
+      "/dis c",
+      "ï¼ ı",
+      "Certain ly",
+      "管çIJĨ åijĺ",
+      "Ġjog ador",
+      "u é",
+      "Columns Mode",
+      "Ġ JV",
+      "ĠJ V",
+      "ĠInstit ut",
+      "_s pectrum",
+      ". dense",
+      ".d ense",
+      ".den se",
+      "Ġ Shortcut",
+      "ĠShort cut",
+      "Ġse buah",
+      "Ġflash y",
+      "Reg ards",
+      "Ġsharp er",
+      "Ġshar per",
+      "c ancellationToken",
+      "_ detalle",
+      "_det alle",
+      "ĠScar lett",
+      "ĠScarlet t",
+      "Ġ маÑĤ",
+      "Ġм аÑĤ",
+      "Ġма ÑĤ",
+      "Ġneg ocio",
+      "Ġnegoci o",
+      "ภĸ",
+      "ĠJ W",
+      "web driver",
+      ". wall",
+      ".w all",
+      "Ġx amarin",
+      "o paque",
+      "op aque",
+      "opa que",
+      ".Add Parameter",
+      "( Controller",
+      "(Control ler",
+      "-ab ortion",
+      "_FUNCTION S",
+      "_FUN CTIONS",
+      "Customer Id",
+      "Ġ venir",
+      "Ġven ir",
+      "ĠB uster",
+      "ĠBus ter",
+      "ĠBu ster",
+      "ĠBust er",
+      "_ predicted",
+      "_pred icted",
+      "_predict ed",
+      "/ rules",
+      "/r ules",
+      "- Methods",
+      "Ġgd zie",
+      "\" ]');Ċ",
+      "\"] ');Ċ",
+      "Ġ Px",
+      "ĠP x",
+      "C ONS",
+      "CON S",
+      "CO NS",
+      ". Slice",
+      ".S lice",
+      "Ġrev amped",
+      "Ġ TableView",
+      "ĠT ableView",
+      "ĠTable View",
+      "Ġd icks",
+      "Ġdi cks",
+      "Ġdic ks",
+      "Ġdick s",
+      "Ġíĺ¸ ì¶ľ",
+      "ĠAux iliary",
+      "Oper a",
+      "Op era",
+      "/ rc",
+      "/r c",
+      "Ġun thinkable",
+      "Ġde ducted",
+      "Ġdeduct ed",
+      "l z",
+      "ĠL age",
+      "ĠLa ge",
+      "ĠLag e",
+      "ĠRow ling",
+      "pr oved",
+      "pro ved",
+      "prove d",
+      "prov ed",
+      "Of fers",
+      "Off ers",
+      "Offer s",
+      ", set",
+      ",s et",
+      "RGB O",
+      "RG BO",
+      "Ġ FU",
+      "ĠF U",
+      "ĠCent OS",
+      "o zo",
+      "oz o",
+      "ĠTro jan",
+      "Ġma ñana",
+      "Ġ //=",
+      "Ġ// =",
+      "Ġ/ /=",
+      "* *:",
+      "** :",
+      "Ġ{ \\Ċ",
+      "Ġ{\\ Ċ",
+      "ĠBo wen",
+      "ĠBow en",
+      "Kn owing",
+      "Know ing",
+      "Ġ åº",
+      "Ġå º",
+      "=-=-=-=- =-=-=-=-",
+      "Ġeben falls",
+      "] ={Ċ",
+      "]= {Ċ",
+      "]={ Ċ",
+      "B MI",
+      "BM I",
+      "() ;)",
+      "(); )",
+      "( permission",
+      "(per mission",
+      "And erson",
+      "Ġde grade",
+      "Ġdeg rade",
+      "So ap",
+      "u ÅŁ",
+      "ĠP uppy",
+      "ĠPu ppy",
+      "ĠEthi opian",
+      "ĠEthiopia n",
+      "ĠTEST ING",
+      "en sex",
+      "ens ex",
+      "ense x",
+      "Ġdr esser",
+      "Ġdress er",
+      "ĠCh ore",
+      "ĠCho re",
+      "Un handled",
+      "Associ ate",
+      "Assoc iate",
+      ". additional",
+      ".add itional",
+      "Ġdifférent es",
+      "is que",
+      "Ġnecess ário",
+      "Ġgener ics",
+      "Ġgeneric s",
+      "Ġgene rics",
+      "( pf",
+      "(p f",
+      "Ġ\\ `",
+      "ĠNear by",
+      "ap oration",
+      "apor ation",
+      "apo ration",
+      "ĠTheme Data",
+      "Wi Fi",
+      ". Real",
+      ".Re al",
+      "acy j",
+      "L iv",
+      "Li v",
+      "Ġpsych ologically",
+      "Ġpsychological ly",
+      "method PointerType",
+      "ĠNik ol",
+      "ĠNi kol",
+      "ĠDed icated",
+      "_PORT S",
+      "ĠJ ae",
+      "ĠJa e",
+      "NS AttributedString",
+      "Ġamb assadors",
+      "Ġambassador s",
+      "Ġ Handlers",
+      "ĠHand lers",
+      "ĠHandle rs",
+      "ĠHandler s",
+      "ĠA nat",
+      "ĠAn at",
+      "ĠAna t",
+      "Ġvoc alist",
+      "Ġvocal ist",
+      "Ġ rar",
+      "Ġr ar",
+      "Ġra r",
+      "Ġdev uelve",
+      ". gs",
+      ".g s",
+      "Ġ xcb",
+      "Ġx cb",
+      "Ġxc b",
+      "Ġsub module",
+      "ĠAS SIGN",
+      "ĠASS IGN",
+      "u reen",
+      "ur een",
+      "ure en",
+      "Ġcl ases",
+      "Ġclase s",
+      "Ġclas es",
+      "Ġcla ses",
+      "e moth",
+      "em oth",
+      "emo th",
+      "_CNT L",
+      "_CN TL",
+      "_ jwt",
+      "_j wt",
+      "Ġ ë§Ī",
+      "Ġë§ Ī",
+      "Ġout post",
+      "ĠIn box",
+      "ĉ flex",
+      "ĉf lex",
+      "ĠGro cery",
+      "I LINE",
+      "IL INE",
+      "ILI NE",
+      ". mob",
+      ".m ob",
+      ".mo b",
+      "ĠCon str",
+      "ĠCons tr",
+      "ĠConst r",
+      "]= ]",
+      "( wallet",
+      "(w allet",
+      "Ġs ede",
+      "Ġse de",
+      "Ġsed e",
+      "f al",
+      "fa l",
+      "Ġim pass",
+      "Ġimp ass",
+      "={ ['",
+      "={[ '",
+      "Ġun fore",
+      "Ġunf ore",
+      "f use",
+      "fu se",
+      "_ Lean",
+      "_L ean",
+      "Ġaval anche",
+      "= rand",
+      "=r and",
+      "Ġadult ery",
+      "Ġadul tery",
+      "Ġadulte ry",
+      "ĠG ee",
+      "ĠGe e",
+      "ĉ InputStream",
+      "ĉInput Stream",
+      "Ġc abel",
+      "Ġca bel",
+      "Ġcab el",
+      "Ġcabe l",
+      "_M OUNT",
+      "_MO UNT",
+      "Ġnot icias",
+      "ĠRa um",
+      "Ġbyte array",
+      "Ġon Hide",
+      "Ġ ).Ċ",
+      "Ġ) .Ċ",
+      "Ġ). Ċ",
+      "$ instance",
+      "ĠdidSelect RowAtIndexPath",
+      "a cam",
+      "ac am",
+      "aca m",
+      "- collection",
+      "-c ollection",
+      "-col lection",
+      "Ġu phe",
+      "Ġup he",
+      "Pot ential",
+      "ĠS DS",
+      "ĠSD S",
+      "_ approval",
+      "_appro val",
+      "Da mn",
+      "Dam n",
+      ": convert",
+      "ĠMod ifications",
+      "ĠModification s",
+      "Ġ ìĺĪ",
+      "Ġìĺ Ī",
+      "Ġun ab",
+      "Ġuna b",
+      "Ġsc rolled",
+      "Ġscroll ed",
+      "+ \");Ċ",
+      "+\" );Ċ",
+      "+\") ;Ċ",
+      "Ġga uche",
+      "ĠH OL",
+      "ĠHO L",
+      "antan amo",
+      "Ġcolumn Header",
+      "ĉZ EPHIR",
+      "z ac",
+      "za c",
+      "Ġout ings",
+      "Ġou tings",
+      "Ġouting s",
+      "Ġapplaud ed",
+      "h oria",
+      "ho ria",
+      "hor ia",
+      "mod x",
+      "mo dx",
+      "Ġmillenn ia",
+      "& m",
+      ". JsonIgnore",
+      ".Json Ignore",
+      "Ġpione ered",
+      "Ġpioneer ed",
+      "ĠC avs",
+      "ĠCa vs",
+      "ĠCav s",
+      "ĉ js",
+      "ĉj s",
+      "departure day",
+      "_ kb",
+      "_k b",
+      ". Patient",
+      ".P atient",
+      "Ġpet als",
+      "port rait",
+      "por trait",
+      "\" }}Ċ",
+      "\"} }Ċ",
+      "\"}} Ċ",
+      "HomeAsUp Enabled",
+      ". pretty",
+      ".p retty",
+      ".pre tty",
+      ".pr etty",
+      ", cljs",
+      "Ġmed ios",
+      "Ġmedi os",
+      "Ġmedio s",
+      "h ashed",
+      "ha shed",
+      "has hed",
+      "hash ed",
+      "e model",
+      "em odel",
+      "emo del",
+      "emode l",
+      "ĠMo jo",
+      "ĠMoj o",
+      ".from RGBO",
+      "- pe",
+      "-p e",
+      "Ġint imately",
+      "Ġintim ately",
+      "Ġintimate ly",
+      "Ġel gg",
+      "[ ];čĊ",
+      "[] ;čĊ",
+      "/ Observable",
+      "/O bservable",
+      "Ġobed ient",
+      "ĠJam al",
+      "ĠJa mal",
+      "ĠJama l",
+      "Required Mixin",
+      "ĠList ViewItem",
+      "ĠListView Item",
+      "ĉ placeholder",
+      "_trans aksi",
+      "< Service",
+      "<S ervice",
+      "Ġens ued",
+      "ĠR ican",
+      "ĠRic an",
+      "ĠRi can",
+      "ĠRica n",
+      "S aga",
+      "Sa ga",
+      "A UDIO",
+      "AUD IO",
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+      "Ġj m",
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+      "-sale s",
+      "- multi",
+      "-m ulti",
+      "-mult i",
+      "% \";Ċ",
+      "%\" ;Ċ",
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+      "Ġclassification s",
+      "Ġt ão",
+      "Co al",
+      "; ');Ċ",
+      ";' );Ċ",
+      "Ġde lights",
+      "Ġdel ights",
+      "Ġdelight s",
+      "_ hz",
+      "_h z",
+      "_ bold",
+      "_b old",
+      "_bo ld",
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+      "ĠСо зд",
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+      "at ee",
+      "ate e",
+      "_ subnet",
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+      "ĠTown send",
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+      "Ġp rt",
+      "Ġpr t",
+      "$ /)",
+      "$/ )",
+      "Ġf ilib",
+      "Ġfil ib",
+      "Ġfi lib",
+      "('/') [-",
+      "('/')[ -",
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+      "Ġcomponent e",
+      "Ġ XF",
+      "ĠX F",
+      ". Reverse",
+      ".Re verse",
+      "_t unnel",
+      "Im mediately",
+      "Immediate ly",
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+      "-m ove",
+      "Ġ alist",
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+      "Ġal ist",
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+      "W SC",
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+      "struct ural",
+      "ist orical",
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+      "isto rical",
+      "T anggal",
+      "ĠCO URT",
+      "ĠCOUR T",
+      "Ġobsc ured",
+      "Ġobscure d",
+      "Ġland slide",
+      "Ġlands lide",
+      "Ġbed side",
+      "Ġbeds ide",
+      "Ġ barang",
+      "Ġbar ang",
+      "Ġba rang",
+      "Ġbara ng",
+      "-e lected",
+      "-elect ed",
+      "-el ected",
+      "Ġcer amics",
+      "Ġceramic s",
+      "-- */Ċ",
+      "ĠW anna",
+      "ĠWan na",
+      "D yn",
+      "Ġverschied ene",
+      "Ġind ucing",
+      "Ġindu cing",
+      "Ġfl ute",
+      "Ġflu te",
+      ".Append Text",
+      "ĠZ ub",
+      "ĠZu b",
+      "ĠPul itzer",
+      ": both",
+      ":b oth",
+      ". maxLength",
+      ".max Length",
+      ".Property Type",
+      "a wy",
+      "aw y",
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+      "Ġh alten",
+      "Ġhal ten",
+      "Ġhalt en",
+      "Ġ ErrorResponse",
+      "ĠError Response",
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+      "/util ity",
+      "/u tility",
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+      ":' '",
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+      "ĠKe e",
+      "ĠOlymp ia",
+      "Clin ical",
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+      ":g reen",
+      "ĠP lex",
+      "ĠPl ex",
+      "ĠPle x",
+      "ĠKens ington",
+      "ĠPhone tic",
+      "ĠPhon etic",
+      "Ġdis tributes",
+      "Ġdistrib utes",
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+      "_ex empt",
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+      ": \".",
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+      ".pause d",
+      ".pa used",
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+      "_T W",
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+      "Ġhem at",
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+      "Ġ SENT",
+      "ĠS ENT",
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+      "ĠSEN T",
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+      "ĠInvest igators",
+      "ĠInvestig ators",
+      "> ({",
+      ">( {",
+      "( fout",
+      "(f out",
+      "ĠA UX",
+      "ĠAU X",
+      ".raw Query",
+      "- strong",
+      "-st rong",
+      "-str ong",
+      "Ġre sembled",
+      "Ġresemble d",
+      "Ġresembl ed",
+      "ĠS haft",
+      "ĠSh aft",
+      "ĠSha ft",
+      "ĠX III",
+      "ĠXI II",
+      "ĠXII I",
+      "s uggest",
+      "Ġsing apore",
+      "_ ability",
+      "_ab ility",
+      "$ k",
+      "ĉi NdEx",
+      "\\ Image",
+      "C adastro",
+      "Cad astro",
+      ". pivot",
+      ".p ivot",
+      "Ġman power",
+      "_ atts",
+      "_at ts",
+      "_att s",
+      ".set Fill",
+      "e world",
+      "ew orld",
+      "con sts",
+      "const s",
+      "cons ts",
+      "Get Width",
+      "Ġgratuit a",
+      "ĠP etr",
+      "ĠPe tr",
+      "ĠPet r",
+      "- answer",
+      "-an swer",
+      "ĠHem isphere",
+      "ĠC aj",
+      "ĠCa j",
+      "ĠT rades",
+      "ĠTr ades",
+      "ĠTrad es",
+      "ĠTrade s",
+      "ĠTra des",
+      "Äĩ i",
+      "ĠFre ddy",
+      "ĠFred dy",
+      "On Change",
+      "Ġporn ografia",
+      "ĠSUM MARY",
+      "_me as",
+      "ĠDR IVE",
+      "ĠC ree",
+      "ĠCr ee",
+      "ĠCre e",
+      "_ male",
+      "_m ale",
+      "_ma le",
+      "Ġs uk",
+      "Ġsu k",
+      "Ġmaneu vers",
+      "Ġmaneuver s",
+      "set Visibility",
+      "a lli",
+      "al li",
+      "all i",
+      "Ġdiscretion ary",
+      "reg ation",
+      "rega tion",
+      "YST ICK",
+      ": href",
+      ":h ref",
+      "Ġta raf",
+      "Ġtar af",
+      "Ġ chu",
+      "Ġc hu",
+      "Ġch u",
+      "Ġ @[",
+      "Ġ@ [",
+      "En ough",
+      ". Transfer",
+      ".Trans fer",
+      "If Needed",
+      ": )])",
+      ":) ])",
+      "ĉ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĉĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĉĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĉĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "[ axis",
+      "[a xis",
+      "Trans lations",
+      "Translation s",
+      ". servers",
+      ".s ervers",
+      ".server s",
+      ".serv ers",
+      ".ser vers",
+      "Ġ KEEP",
+      "ĠK EEP",
+      "ĠKE EP",
+      "' ,)Ċ",
+      "', )Ċ",
+      "s ponsor",
+      "arch ives",
+      "archive s",
+      ".Ultra Win",
+      "ĠHon our",
+      "' ]));",
+      "'] ));",
+      "']) );",
+      "'])) ;",
+      "Ġin eligible",
+      "ĠAntwort en",
+      "ĠApplication Exception",
+      "Ġ categorie",
+      "Ġc ategorie",
+      "Ġcategor ie",
+      "ĠWE IGHT",
+      "ĠB undy",
+      "ĠBund y",
+      "ĠBun dy",
+      "ĠP IXEL",
+      "ĠPIX EL",
+      "Ġd uke",
+      "Ġdu ke",
+      "Ġduk e",
+      "T ower",
+      "To wer",
+      "Sc otland",
+      "Ġrefer ees",
+      "Ġrefere es",
+      "Ġreferee s",
+      "ĠAssembly Trademark",
+      "ĉstart Activity",
+      ".One ToOne",
+      "ĠAus wahl",
+      "Ġstrength ens",
+      "Ġstrengthen s",
+      ". Quit",
+      ".Q uit",
+      ".Qu it",
+      "Ġ URLRequest",
+      "ĠURL Request",
+      "e ec",
+      "ee c",
+      "Ġregistr azione",
+      "Ġregist razione",
+      "Ġh oses",
+      "Ġho ses",
+      "Ġhose s",
+      "Ġhos es",
+      "Actual izar",
+      "/ array",
+      "/a rray",
+      "/ar ray",
+      "Ġcon structions",
+      "Ġconstruction s",
+      "Ġconstruct ions",
+      "Ġconstr uctions",
+      "c cd",
+      "cc d",
+      "ĠFile NotFoundError",
+      "Th êm",
+      "( resultado",
+      "(result ado",
+      "ĠSE RIES",
+      "ĠSER IES",
+      "S peak",
+      "Spe ak",
+      "_A HB",
+      "B locked",
+      "Block ed",
+      "Bl ocked",
+      "Bloc ked",
+      "-font awesome",
+      ": ])",
+      ":] )",
+      "o bble",
+      "ob ble",
+      "obb le",
+      "( links",
+      "(l inks",
+      "(link s",
+      "ĠCatal onia",
+      "Ge V",
+      ". DateFormat",
+      ".Date Format",
+      "Ġf lea",
+      "Ġfl ea",
+      "Ġfle a",
+      ". ef",
+      ".e f",
+      "Ġs olicitud",
+      "Ġsolic itud",
+      "Ġsolicit ud",
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+      "y the",
+      "yt he",
+      "yth e",
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+      "_T D",
+      "Ġaffirm ation",
+      "_ fa",
+      "_f a",
+      "I STA",
+      "IS TA",
+      "IST A",
+      "ĠE aton",
+      "ĠEat on",
+      "ĠEa ton",
+      "create Query",
+      "Ġlog istical",
+      "Ġlogistic al",
+      "ĠRay castHit",
+      "Ġcaul iflower",
+      "Ġul cer",
+      ". Alpha",
+      ".Al pha",
+      "in ke",
+      "ink e",
+      "[ ..",
+      "EX AMPLE",
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+      "Ġsta ti",
+      "ect ive",
+      ".get Min",
+      ".getM in",
+      "ĠSU BJECT",
+      "ĠSUB JECT",
+      "ĠAudio Manager",
+      "zz arella",
+      "zza rella",
+      "ĠSelect ListItem",
+      "ĠSelectList Item",
+      "Ġ $čĊ",
+      "Ġ$ čĊ",
+      "Ġoh io",
+      "ĠTa hoe",
+      "ĠTah oe",
+      "Ġk Wh",
+      "ĠkW h",
+      "query String",
+      "Ġdepart amento",
+      "= admin",
+      "Ġwork station",
+      ") ++;Ċ",
+      "Header InSection",
+      "ĠTri umph",
+      "Char lotte",
+      "ĠS MA",
+      "ĠSM A",
+      "C ómo",
+      "Có mo",
+      "Ġv erm",
+      "Ġver m",
+      "Ġve rm",
+      "Ġthe ano",
+      "bg color",
+      "\\ \"\",Ċ",
+      "\\\" \",Ċ",
+      "\\\"\", Ċ",
+      "\\\"\" ,Ċ",
+      "Ġ Reminder",
+      "ĠRem inder",
+      "B illy",
+      "Bill y",
+      "oral Type",
+      "ge ber",
+      "geb er",
+      "( clone",
+      "(cl one",
+      "ĠK ut",
+      "ĠKu t",
+      "/ >.",
+      "/> .",
+      "A pollo",
+      "Ap ollo",
+      "Ġs hl",
+      "Ġsh l",
+      "Z H",
+      "Th under",
+      "Thu nder",
+      "Ġg ifs",
+      "Ġgi fs",
+      "Ġgif s",
+      "_ kelas",
+      "_k elas",
+      "_ke las",
+      "_kel as",
+      "ĠRo ths",
+      "ĠRot hs",
+      "ĠRoth s",
+      "Ġ }(",
+      "Ġ} (",
+      "ĠBroad com",
+      "ĠDep ths",
+      "ĠDepth s",
+      "ĠDept hs",
+      "ĉ INNER",
+      "ĉIN NER",
+      "par cel",
+      "Ġej ercicio",
+      "Ġindepend ents",
+      "Ġindependent s",
+      "il low",
+      "ill ow",
+      "illo w",
+      "exec utable",
+      "Event o",
+      "Even to",
+      "Ev ento",
+      "Ġz ost",
+      "Ġzo st",
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+      "ĠHM AC",
+      "[ DllImport",
+      "al les",
+      "all es",
+      "alle s",
+      "_der ivative",
+      "_deriv ative",
+      "Api Key",
+      "Ġstep per",
+      "Ġste pper",
+      "= plt",
+      "=p lt",
+      "get Index",
+      "Ġval eurs",
+      "Ġva leurs",
+      "Ġvale urs",
+      "Ġvaleur s",
+      "Pol itics",
+      "Polit ics",
+      "Ġ IDX",
+      "ĠI DX",
+      "ĠID X",
+      "ĠU sa",
+      "ĠUs a",
+      "ĠL TC",
+      "ĠLT C",
+      ".min Length",
+      "s tro",
+      "st ro",
+      "str o",
+      "_ NC",
+      "_N C",
+      "Ġstagn ant",
+      "Ġstag nant",
+      "Ġmont age",
+      "Ġbl ouse",
+      "Ġblo use",
+      "e lige",
+      "el ige",
+      "eli ge",
+      "elig e",
+      "Ġtur quoise",
+      "ĠSup ern",
+      "ĠSuper n",
+      "æŃ ³",
+      "v ara",
+      "var a",
+      "va ra",
+      "New Item",
+      "_EXT ENDED",
+      "Ġwood working",
+      "ĠEp iscopal",
+      ". pair",
+      ".p air",
+      ".pa ir",
+      ". UserInfo",
+      ".User Info",
+      "Ġdi rent",
+      "Ġdir ent",
+      "Ġdire nt",
+      "Ġdiren t",
+      "/ tcp",
+      "/t cp",
+      "Ġfra ught",
+      "Ġfrau ght",
+      "Sl ave",
+      ".get Latitude",
+      "ĠTool box",
+      "Ġear ners",
+      "Ġearn ers",
+      "ĠH OUR",
+      "ĠHO UR",
+      "а ла",
+      "ал а",
+      "pos ables",
+      "posable s",
+      "cond itionally",
+      "condition ally",
+      "conditional ly",
+      "_ xx",
+      "_x x",
+      "Ġlan ç",
+      "( rp",
+      "(r p",
+      "C ha",
+      "Ch a",
+      "Ġinc arn",
+      ". Dao",
+      ".D ao",
+      ". /(",
+      "./ (",
+      "ا Ùģ",
+      "ا٠ģ",
+      "T d",
+      "C EF",
+      "CE F",
+      "/ rand",
+      "/r and",
+      ". Virtual",
+      ".V irtual",
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+      "amin es",
+      "ami nes",
+      "amine s",
+      "Ġ lz",
+      "Ġl z",
+      "Ġs tos",
+      "Ġst os",
+      "Ġsto s",
+      "ĠAt kins",
+      "_ DD",
+      "_D D",
+      "it orio",
+      "itor io",
+      "ito rio",
+      "itori o",
+      "Ġmini mise",
+      "Ġminim ise",
+      "hip ster",
+      "hips ter",
+      "({ ...",
+      "_S RV",
+      "_SR V",
+      "[ frame",
+      "[f rame",
+      "ĠR oku",
+      "ĠRo ku",
+      "G RP",
+      "GR P",
+      "Ġbar ber",
+      ". Fecha",
+      ".F echa",
+      "Ġ ë°ľ",
+      "Ġë° ľ",
+      "Ġgran ularity",
+      "ĠS aying",
+      "ĠSa ying",
+      "ĠSay ing",
+      "_ likelihood",
+      ".bar DockControl",
+      "Ġfront line",
+      "ĠWh ale",
+      "Ġsm elling",
+      "Ġsmell ing",
+      "ĠContrib utions",
+      "ĠContribution s",
+      "i vant",
+      "iv ant",
+      "iva nt",
+      "ivan t",
+      "Ġc rippling",
+      "Ġcripp ling",
+      "p reload",
+      "pr eload",
+      "pre load",
+      "ĠHerr era",
+      "_ WATCH",
+      "_W ATCH",
+      "- et",
+      "-e t",
+      ": expr",
+      "in vestment",
+      "invest ment",
+      "ed eration",
+      "eder ation",
+      "ede ration",
+      "_m gmt",
+      "Ġh oops",
+      "Ġho ops",
+      "Ġhoop s",
+      "mon key",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ",
+      "inter sect",
+      "inters ect",
+      "Ġcr imson",
+      "Ġcrim son",
+      "Ġsu oi",
+      "Ġsuo i",
+      "Ġ[ ]:Ċ",
+      "Ġ[] :Ċ",
+      "X Object",
+      "S FML",
+      "SF ML",
+      "E QUAL",
+      "EQ UAL",
+      "(' ~",
+      "cent roid",
+      "ĉ restore",
+      "ĉre store",
+      "Ġpre natal",
+      "ĠMi stress",
+      "ĠMist ress",
+      "Ġ qx",
+      "Ġq x",
+      "t ps",
+      "tp s",
+      "Ġre spawn",
+      "Ġres pawn",
+      "Ġresp awn",
+      "Ġ[ ]),Ċ",
+      "Ġ[] ),Ċ",
+      "Ġ[]) ,Ċ",
+      "Ġk ontrol",
+      "Ġkont rol",
+      "Ġkontro l",
+      "ãģĤãĤĬãģĮãģ¨ãģĨ ãģĶãģĸ",
+      "Module Name",
+      "Ġnew Path",
+      "ĠP aging",
+      "ĠPa ging",
+      "ĠPag ing",
+      "Ġr ins",
+      "Ġri ns",
+      "Ġrin s",
+      "_ maker",
+      "_m aker",
+      "_make r",
+      "_ma ker",
+      "\\ brief",
+      "\\b rief",
+      "Ġb isher",
+      "Ġbi sher",
+      "Ġbis her",
+      "ĉ Read",
+      "ĉR ead",
+      "Ġjihad ist",
+      ". persistent",
+      ".p ersistent",
+      ".persist ent",
+      "ĠRob ots",
+      "ĠRo bots",
+      "ĠRobot s",
+      "/ grpc",
+      "/g rpc",
+      "/gr pc",
+      "ĠJ ou",
+      "ĠJo u",
+      "ä ren",
+      "är en",
+      "äre n",
+      "ï¼Į åľ¨",
+      "- pt",
+      "-p t",
+      "Ġzd arma",
+      "_ NM",
+      "_N M",
+      "ĠConnect ivity",
+      "( bc",
+      "(b c",
+      "ĠFl orian",
+      "ĠFlor ian",
+      "ĠFlo rian",
+      "ĠSoc iology",
+      "ĠSoci ology",
+      "_ wo",
+      "_w o",
+      "And Serve",
+      "_ ();Ċ",
+      "_( );Ċ",
+      "Ġ FLT",
+      "ĠF LT",
+      "ĠFL T",
+      "_ DER",
+      "_D ER",
+      "_DE R",
+      "ĠCon nie",
+      "ĠConn ie",
+      "ĠBroadcast Receiver",
+      "{ (",
+      "Ġcomm enter",
+      "Ġcomment er",
+      "Ġdem ocrat",
+      "Ġdemocr at",
+      "Ġampl ify",
+      "Ġamp lify",
+      "-------- --čĊ",
+      "---------- čĊ",
+      "------- ---čĊ",
+      "--------- -čĊ",
+      "ĠH MS",
+      "ĠHM S",
+      "Ġtr ailed",
+      "Ġtrail ed",
+      "Ġtra iled",
+      "Ġtrai led",
+      "ĠS oda",
+      "ĠSo da",
+      "- tested",
+      "-t ested",
+      "-test ed",
+      "-te sted",
+      "u list",
+      "ul ist",
+      "uli st",
+      "ulis t",
+      ") new",
+      ")n ew",
+      "_ Thread",
+      "_T hread",
+      "T odd",
+      "To dd",
+      "Ġ debian",
+      "Ġde bian",
+      "Ġdeb ian",
+      "V k",
+      "Ġpres enta",
+      "Ġpresent a",
+      "Ġcomfort s",
+      "ĠW asher",
+      "ĠWash er",
+      "ĠWas her",
+      "ĠWa sher",
+      "Ġg arg",
+      "Ġgar g",
+      "Ġga rg",
+      "ĠHuck abee",
+      "Ġ Ñģам",
+      "ĠÑģ ам",
+      "Ġ !\"",
+      "Ġ! \"",
+      "Adapter Manager",
+      "ĠE a",
+      "ĠAssoci ations",
+      "ĠAssociation s",
+      "ĠAssoc iations",
+      "ĉĉĉĉĉĊ ĉĉĉĉĉĊ",
+      ".get WritableDatabase",
+      "Ġnucle i",
+      "ég orie",
+      "égor ie",
+      "ĉ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĉĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "B AB",
+      "BA B",
+      "Ġup keep",
+      "ĠT up",
+      "ĠTu p",
+      ".with Opacity",
+      "l ya",
+      "ly a",
+      "Ġl uxe",
+      "Ġlux e",
+      "Ġlu xe",
+      "u pro",
+      "up ro",
+      "- eng",
+      "-e ng",
+      "-en g",
+      "Ġrel ação",
+      "Ġkey Pressed",
+      "Ġhy brids",
+      "Ġhybrid s",
+      "l fw",
+      "lf w",
+      "Operation Contract",
+      "Ġname Label",
+      "ĠH ort",
+      "ĠHor t",
+      "ĠHo rt",
+      "_ grupo",
+      "_gr upo",
+      "Ġb anda",
+      "Ġband a",
+      "Ġban da",
+      "Ġba nda",
+      "I x",
+      "Health y",
+      ".get End",
+      "fr au",
+      "fra u",
+      "( Scene",
+      "(S cene",
+      "( Collections",
+      "(C ollections",
+      "(Collection s",
+      "Ġ Skipping",
+      "ĠSk ipping",
+      "ĠSkip ping",
+      "ĠSki pping",
+      "u bo",
+      "ub o",
+      "Ġf ün",
+      "\" >-->Ċ",
+      "\"> -->Ċ",
+      "Ġdro its",
+      "Ġdroit s",
+      "Ġhomosexual s",
+      "Ġab duction",
+      "ĉ widget",
+      "ĉw idget",
+      "$ headers",
+      "$header s",
+      "ĠD AR",
+      "ĠDA R",
+      "Ġf la",
+      "Ġfl a",
+      "th reat",
+      "thr eat",
+      "Ġl ouis",
+      "Ġlo uis",
+      "Ġlou is",
+      ". GetProperty",
+      ".Get Property",
+      "\" Just",
+      "( frames",
+      "(f rames",
+      "(frame s",
+      "(fr ames",
+      "r yo",
+      "ry o",
+      "prof ession",
+      "| i",
+      "íķ´ ìĦľ",
+      "( sv",
+      "(s v",
+      "Ġun recognized",
+      "I onic",
+      "Io nic",
+      "Ion ic",
+      "F ashion",
+      "Screen State",
+      "Ġ Incoming",
+      "ĠIn coming",
+      "ĠInc oming",
+      "Not Nil",
+      "Ġsyn cing",
+      "Ġsync ing",
+      "e mie",
+      "em ie",
+      "emi e",
+      "Ġth ermo",
+      "Ġther mo",
+      "Ġtherm o",
+      "_ procs",
+      "_pro cs",
+      "_pr ocs",
+      "_proc s",
+      "Ġincons istency",
+      "Ġinconsist ency",
+      "rel igious",
+      ". mj",
+      ".m j",
+      "Ġperson n",
+      "Ġpers onn",
+      "Ġperso nn",
+      "Ġmoment os",
+      "Ġmomento s",
+      "or arily",
+      "Ġ æĬ",
+      "Ġæ Ĭ",
+      "_ne urons",
+      "Ill ustr",
+      "im oto",
+      "imo to",
+      "i lik",
+      "il ik",
+      "ili k",
+      "ĠW oj",
+      "ĠWo j",
+      "Tr ading",
+      "Trad ing",
+      "Tra ding",
+      "Ġapp are",
+      "Ġap pare",
+      "Ġappar e",
+      "Ġentre prises",
+      "Ġentreprise s",
+      "a chat",
+      "ac hat",
+      "ach at",
+      "acha t",
+      "Ġ ¬",
+      "ĠÂ ¬",
+      "Ġne igh",
+      "Ġnei gh",
+      "BUTTON DOWN",
+      "ĠMa her",
+      "ĠMah er",
+      "a ghan",
+      "ag han",
+      "agh an",
+      "- hash",
+      "-h ash",
+      "-has h",
+      "\" f",
+      "Ġclient ele",
+      "Ġcliente le",
+      ".add Button",
+      "ĉ SP",
+      "ĉS P",
+      "Q i",
+      "Ġg rated",
+      "Ġgr ated",
+      "Ġgrat ed",
+      "Ġgra ted",
+      "Ġgrate d",
+      "PO SITE",
+      "POS ITE",
+      "POSIT E",
+      ": >",
+      "ĠH owell",
+      "ĠHow ell",
+      "ĠHo well",
+      "ĠHowe ll",
+      "ĠCompar ative",
+      "Ġ ISC",
+      "ĠI SC",
+      "ĠIS C",
+      "ÂŃ i",
+      "O cean",
+      "D avis",
+      "Da vis",
+      "ĠFil me",
+      "ĠFilm e",
+      "W ins",
+      "Win s",
+      "Wi ns",
+      "ĠJ IT",
+      "oc cer",
+      "occ er",
+      "ĠC orm",
+      "ĠCo rm",
+      "ĠCor m",
+      "ENCH MARK",
+      "rc hive",
+      "rch ive",
+      "i cação",
+      "ic ação",
+      "ica ção",
+      "Ġm ata",
+      "Ġmat a",
+      "Ġma ta",
+      "Ġchild birth",
+      "ĠOption ally",
+      "ĠOptional ly",
+      "E ns",
+      "En s",
+      "Ġx http",
+      "Ġel ucid",
+      "_Osc InitStruct",
+      ") )):Ċ",
+      ")) ):Ċ",
+      "))) :Ċ",
+      "Ġint uit",
+      "Ġ Donate",
+      "ĠDon ate",
+      "Ġcorre lates",
+      "Ġcorrel ates",
+      "Ġcorrelate s",
+      "> Delete",
+      "Ġe quipe",
+      "Ġequ ipe",
+      "Ġequip e",
+      "Ġb oca",
+      "Ġbo ca",
+      "Ġinf latable",
+      "Ġinfl atable",
+      "e rah",
+      "er ah",
+      "era h",
+      "ĠDateTime Kind",
+      "Ġcal ves",
+      "\\ Lib",
+      "\\L ib",
+      "Ġem lrt",
+      "ĠTr ilogy",
+      "ĠTri logy",
+      "ĠP anc",
+      "ĠPan c",
+      "ĠPa nc",
+      "ĠD uis",
+      "ĠDu is",
+      "ĠpelÃŃcul a",
+      "W ARDS",
+      "WARD S",
+      "WAR DS",
+      "_DE TECT",
+      "_DET ECT",
+      "-section al",
+      "d hcp",
+      "dh cp",
+      "For Row",
+      "- destruct",
+      "-d estruct",
+      "-de struct",
+      "Ġ Presenter",
+      "ĠP resenter",
+      "ĠPres enter",
+      "ĠPresent er",
+      "/ slick",
+      "/s lick",
+      "/sl ick",
+      ", on",
+      ",o n",
+      "ĠCit adel",
+      "logged in",
+      "logg edin",
+      "_ subtype",
+      "_sub type",
+      "Ġs igue",
+      "Ġsi gue",
+      "Ġsig ue",
+      "Ġsigu e",
+      "Ġc uring",
+      "Ġcur ing",
+      "Ġcu ring",
+      "ĠFire wall",
+      "Ġfluores cence",
+      "ĠItalian s",
+      "ĠItalia ns",
+      "ĠItal ians",
+      "иÑĤ ÑģÑı",
+      ". getStyle",
+      ".get Style",
+      "In Seconds",
+      "j ie",
+      "ji e",
+      "- Smith",
+      "-S mith",
+      "Ġx link",
+      "Ġxl ink",
+      "Ġsub missive",
+      "о нÑĤ",
+      "он ÑĤ",
+      "arbon ate",
+      "ĠF aul",
+      "ĠFa ul",
+      "_ goals",
+      "_go als",
+      "_goal s",
+      "ĠCommission ers",
+      "ĠCommissioner s",
+      "chart Instance",
+      "_POST FIELDS",
+      "Ġmed ial",
+      "Ġmedia l",
+      "Ġmedi al",
+      "Ġm anos",
+      "Ġman os",
+      "Ġma nos",
+      "Ġmano s",
+      "Ġd elt",
+      "Ġde lt",
+      "Ġdel t",
+      "s vm",
+      "sv m",
+      ". Apis",
+      ".A pis",
+      ".Api s",
+      ".Ap is",
+      "e phy",
+      "ep hy",
+      "eph y",
+      "Ġasym pt",
+      "Ġapp Delegate",
+      "Ġimpro bable",
+      "c ka",
+      "ck a",
+      "s imd",
+      "si md",
+      "sim d",
+      "/ Error",
+      "/E rror",
+      ". âĢĵ",
+      "Ġ PTS",
+      "ĠP TS",
+      "ĠPT S",
+      "d eer",
+      "de er",
+      "dee r",
+      "Ġs ina",
+      "Ġsi na",
+      "Ġsin a",
+      "m agnitude",
+      "ID ADE",
+      "IDA DE",
+      "IDAD E",
+      "'] }'",
+      "']} '",
+      "Ġmay ores",
+      "Ġmayor es",
+      "Ġmayo res",
+      "ĉ comment",
+      "ĉcom ment",
+      "/ console",
+      "/con sole",
+      "\" @",
+      "v olt",
+      "vo lt",
+      "vol t",
+      ". sell",
+      ".s ell",
+      ".se ll",
+      ".sel l",
+      "ĠM acy",
+      "ĠMac y",
+      "ĠMa cy",
+      "Ġme lod",
+      "Ġmel od",
+      "Ġim ágenes",
+      "_ chg",
+      "_c hg",
+      "_ch g",
+      "Ġin out",
+      "Ġi nout",
+      "id ente",
+      "ide nte",
+      "ident e",
+      "iden te",
+      ") '),Ċ",
+      ")' ),Ċ",
+      ")'), Ċ",
+      "d ni",
+      "dn i",
+      ". blob",
+      ".b lob",
+      ".bl ob",
+      "Ġtyp ography",
+      "Ġe erie",
+      "Ġee rie",
+      "Ġeer ie",
+      "_ OID",
+      "_O ID",
+      "p esan",
+      "pe san",
+      "pes an",
+      "a jan",
+      "aj an",
+      "aja n",
+      "Ġch opping",
+      "Ġcho pping",
+      "Ġchop ping",
+      "Ġbl uff",
+      "a df",
+      "ad f",
+      "_ bases",
+      "_b ases",
+      "_base s",
+      ". Formatter",
+      ".Form atter",
+      ".Format ter",
+      ".For matter",
+      "Ġ\\ %",
+      "ĠPage Info",
+      "Car rier",
+      "ĠCal ibration",
+      "c omo",
+      "com o",
+      "co mo",
+      "-b odied",
+      "Ġfinanc ier",
+      "Ġ INA",
+      "ĠI NA",
+      "ĠIN A",
+      ". ERR",
+      ".E RR",
+      "Ġho odie",
+      "Ġhood ie",
+      "ĠS anity",
+      "ĠSan ity",
+      "gu arded",
+      "guard ed",
+      ".opend aylight",
+      "IS MATCH",
+      "ISM ATCH",
+      "High lights",
+      "Highlight s",
+      "ü nk",
+      "ün k",
+      "an iem",
+      "ani em",
+      "anie m",
+      "ang ered",
+      "ange red",
+      "anger ed",
+      "assign ments",
+      "assignment s",
+      "Ġregistr ado",
+      "Ġregist rado",
+      "ĠU PPER",
+      "ĠUP PER",
+      "ampil kan",
+      "a shire",
+      "as hire",
+      "ash ire",
+      "ashi re",
+      "ĠNik ola",
+      "ĠNi kola",
+      "ĠNikol a",
+      "ĠC FL",
+      "ĠCF L",
+      "ĠH DC",
+      "ĠHD C",
+      "Ġp oids",
+      "Ġpo ids",
+      "Ġpoi ds",
+      "ĠI Ps",
+      "ĠIP s",
+      "Ġprevent ative",
+      "ips oid",
+      "i fix",
+      "if ix",
+      "ifi x",
+      ". camel",
+      ".c amel",
+      ".ca mel",
+      ".cam el",
+      ". ga",
+      ".g a",
+      "V olumes",
+      "Volume s",
+      "Vol umes",
+      "- ste",
+      "-s te",
+      "-st e",
+      "Y ahoo",
+      "Ya hoo",
+      "_s ibling",
+      "_si bling",
+      "H ighest",
+      "High est",
+      "Hi ghest",
+      "opt group",
+      "Ġkvin na",
+      "Ġkvinn a",
+      "âĢĿ ãĢĤĊĊ",
+      "âĢĿãĢĤ ĊĊ",
+      "ĠAppl iances",
+      "Ġ \"><",
+      "Ġ\" ><",
+      "Ġ\"> <",
+      "' )\")Ċ",
+      "') \")Ċ",
+      "')\" )Ċ",
+      "h tt",
+      "ht t",
+      "ĠIdent ified",
+      "Ġpencil s",
+      "Ġpenc ils",
+      "Ġmember Id",
+      "Ġappend String",
+      ".load Data",
+      "Ġmock Mvc",
+      "Ġj ub",
+      "Ġju b",
+      "ĠS lut",
+      "ĠSl ut",
+      "ĠTai pei",
+      "st att",
+      "stat t",
+      "sta tt",
+      "P olit",
+      "Pol it",
+      "Po lit",
+      "Ġpart ager",
+      "Did Change",
+      "Incre ases",
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+      "Ġre strain",
+      "Ġres train",
+      "Ġrest rain",
+      "Ġrestr ain",
+      "ĠYugosl avia",
+      "= target",
+      "=t arget",
+      "Ġimp uls",
+      "d sa",
+      "ds a",
+      "Search Tree",
+      "Ġh box",
+      "Ġhb ox",
+      "ĠIm press",
+      "ĠImp ress",
+      "§ Ãĥ",
+      "get FullYear",
+      "( da",
+      "(d a",
+      "ĠY YS",
+      "ĠYY S",
+      ". alignment",
+      ".al ignment",
+      ".align ment",
+      ".Get Text",
+      ".token ize",
+      "ĠOlymp us",
+      "Ġmur ky",
+      "or estation",
+      "ore station",
+      "orest ation",
+      "Ġdiss atisfaction",
+      "ĉT Array",
+      "_ kses",
+      "_k ses",
+      ".Add Singleton",
+      "Ġ StartTime",
+      "ĠStart Time",
+      "Ġfan atic",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĉ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĉ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĉ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĉ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġĉ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĉ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĉ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĉ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĉ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĉ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĉ",
+      "Ġentity Type",
+      ". override",
+      ".over ride",
+      "Ġ -------------",
+      "Ġ- ------------",
+      "Ġ-- -----------",
+      "Ġ---- ---------",
+      "Ġ--- ----------",
+      "Ġ------------ -",
+      "Ġ----- --------",
+      "Ġ---------- ---",
+      "Ġ------ -------",
+      "Ġ-------- -----",
+      "Ġ------- ------",
+      "Ġ--------- ----",
+      "Ġ----------- --",
+      "ĠData gram",
+      "ĠDat agram",
+      "f out",
+      "fo ut",
+      "(with Id",
+      "Ġ #__",
+      "Ġ# __",
+      "Ł èĥ½",
+      "ek yll",
+      ". friends",
+      ".f riends",
+      ".friend s",
+      "ame leon",
+      "amel eon",
+      "Ġz ach",
+      "Ġza ch",
+      ".simple Button",
+      "ret orno",
+      "Ġko nk",
+      "Ġkon k",
+      "/ small",
+      "/s mall",
+      "/sm all",
+      "ĠQuick ly",
+      "un read",
+      "Don ate",
+      "Detail View",
+      "Ġd ua",
+      "Ġdu a",
+      "Ġpenet rated",
+      "Ġpenetr ated",
+      "Ġpenetrate d",
+      "O MUX",
+      "OM UX",
+      "Ġn ir",
+      "Ġni r",
+      "_ pdata",
+      "_p data",
+      "_pd ata",
+      "\"], [\"",
+      "Ġlow es",
+      "Ġd oping",
+      "Ġdo ping",
+      "Ġdop ing",
+      "Ġas ymmetric",
+      "Ġasym metric",
+      "Ġneed less",
+      "Ġneedle ss",
+      "Ġneedles s",
+      "our cem",
+      "ource m",
+      "Ġ upro",
+      "Ġu pro",
+      "Ġup ro",
+      "ĠG uzzle",
+      "ĠGu zzle",
+      "a fb",
+      "af b",
+      "Ġsext reffen",
+      "-c ollar",
+      "-col lar",
+      "Ġcol ossal",
+      "Mon key",
+      "n ish",
+      "ni sh",
+      "nis h",
+      "Ġhandle Message",
+      "Incre ased",
+      "Increase d",
+      "* dx",
+      "*d x",
+      "ĠChatt anooga",
+      "f org",
+      "fo rg",
+      "for g",
+      "Ġ Orden",
+      "ĠOr den",
+      "ĠOrd en",
+      "Ġsh ri",
+      "Ġshr i",
+      "ĠV and",
+      "ĠVan d",
+      "ĠVa nd",
+      "Ġ\" @\"",
+      "Ġ\"@ \"",
+      "Image Sharp",
+      "ĠWild cats",
+      "pon ible",
+      ". scenes",
+      ".sc enes",
+      ".scene s",
+      "Ġpaint ers",
+      "Ġpain ters",
+      "Ġpa inters",
+      "Ġpainter s",
+      "ĠPf izer",
+      "ĠZ ah",
+      "ĠZa h",
+      "To Local",
+      "ĠF lam",
+      "ĠFl am",
+      "ĠFla m",
+      "Ġé taient",
+      ") )^",
+      ")) ^",
+      "ĠS andbox",
+      "ĠSand box",
+      "ĠTR ADE",
+      "Ġch romium",
+      "Ġchrom ium",
+      "Ġac claim",
+      "Ġp acman",
+      "Ġpac man",
+      "´ t",
+      ") reader",
+      "M ari",
+      "Mar i",
+      "Ma ri",
+      ". Dispatcher",
+      ".Dispatch er",
+      ". ADMIN",
+      ".A DMIN",
+      ".AD MIN",
+      "ĠR emed",
+      "ĠRe med",
+      "ĠRem ed",
+      "Sw eden",
+      "Ġover lays",
+      "Ġoverlay s",
+      "Ġoverl ays",
+      ". er",
+      ".e r",
+      "Ġp ang",
+      "Ġpa ng",
+      "Ġpan g",
+      "Ġclean ly",
+      "aven port",
+      "Toy ota",
+      "p atches",
+      "patch es",
+      "pat ches",
+      "Ġv tx",
+      "Ġvt x",
+      "ĠE is",
+      "cl ado",
+      "cla do",
+      "ĠR itch",
+      "ĠRit ch",
+      "R OLS",
+      "RO LS",
+      "ROL S",
+      "Ġh ade",
+      "Ġhad e",
+      "Ġha de",
+      "Ġconspic uous",
+      "Ġd ocks",
+      "Ġdo cks",
+      "Ġdoc ks",
+      "Ġdock s",
+      "( jq",
+      "(j q",
+      "ĠPrem iership",
+      "ĠPremier ship",
+      "ĠB ez",
+      "ĠBe z",
+      "Ġ âĦĸ",
+      "Ġâ Ħĸ",
+      "ĠâĦ ĸ",
+      "ĠÑĥ Ñģл",
+      "ĠÑĥÑģ л",
+      "_ totals",
+      "_total s",
+      "_tot als",
+      "Ġpro va",
+      "Ġpr ova",
+      "Ġprov a",
+      "ĠC ue",
+      "ĠCu e",
+      "Ġsa úde",
+      "ĠGame Controller",
+      "IM IZE",
+      ", port",
+      ",p ort",
+      "ãĢĤ (",
+      ".C decl",
+      "Instant iationException",
+      "Ġcol lage",
+      "Ġcoll age",
+      "Ġ IOC",
+      "ĠI OC",
+      "ĠIO C",
+      "Ġb ais",
+      "Ġba is",
+      "Ġon Finish",
+      "- stars",
+      "-st ars",
+      "-star s",
+      "set Size",
+      "Ġmog ul",
+      "Ġdis illusion",
+      "Ġche vy",
+      "( Schedulers",
+      "(S chedulers",
+      "( IR",
+      "(I R",
+      "_ locs",
+      "_l ocs",
+      "_lo cs",
+      "_loc s",
+      "Ġcann ons",
+      "Ġcannon s",
+      "Ġcancel ling",
+      "Ġcancell ing",
+      "Ġcanc elling",
+      "/ bus",
+      "/b us",
+      "Ġ bufio",
+      "Ġbuf io",
+      "ĠY ours",
+      "ĠYou rs",
+      "ĠYour s",
+      "ĠYo urs",
+      "ĠPik achu",
+      "Ġter me",
+      "Ġterm e",
+      "r å",
+      "f ahren",
+      "Ġowner Id",
+      "Ġoblig atory",
+      "Ġc ulp",
+      "Ġcu lp",
+      "Ġcul p",
+      "Ġac idity",
+      "Ġacid ity",
+      "- mult",
+      "-m ult",
+      "ĠBam boo",
+      "Ġ' \">",
+      "Ġ'\" >",
+      "_ gs",
+      "_g s",
+      "Ġcomp il",
+      "n ard",
+      "na rd",
+      "nar d",
+      "- exc",
+      "-e xc",
+      "-ex c",
+      "Ġrh yme",
+      "Ġb utto",
+      "Ġbut to",
+      "Ġbutt o",
+      "s ays",
+      "sa ys",
+      "say s",
+      "ant asy",
+      "anta sy",
+      "antas y",
+      "ë ¸",
+      "Ġcitt Ãł",
+      "Ġch eg",
+      "Ġche g",
+      "Time String",
+      "Ġpos itivity",
+      "Ġposit ivity",
+      "ĠD abei",
+      "ĠDa bei",
+      "Ġ wang",
+      "Ġw ang",
+      "Ġwa ng",
+      "Ġwan g",
+      "Ġes cre",
+      "Ġesc re",
+      "\" c",
+      "ĉ video",
+      "ĉv ideo",
+      "Ġ Ranked",
+      "ĠR anked",
+      "ĠRank ed",
+      "ĠRan ked",
+      ". strings",
+      ".string s",
+      ".str ings",
+      "> >>(",
+      ">> >(",
+      ">>> (",
+      "Ġин ÑĤеÑĢ",
+      "ĠинÑĤ еÑĢ",
+      "Ġre sta",
+      "Ġr esta",
+      "Ġres ta",
+      "Ġrest a",
+      "[: ,:",
+      "[:, :",
+      "Ġren dre",
+      "Ġrend re",
+      "Ġde ser",
+      "Ġdes er",
+      "Ġdese r",
+      "J os",
+      "Jo s",
+      "Ġdis ruptions",
+      "Ġdisrupt ions",
+      "Ġdisruption s",
+      "Ġо пеÑĢ",
+      "Ġоп еÑĢ",
+      "s ampling",
+      "sam pling",
+      "samp ling",
+      "sup press",
+      "Ġcontainer View",
+      "ĠSeam less",
+      "Ġ airy",
+      "Ġa iry",
+      "Ġair y",
+      "Ġai ry",
+      "Ġon load",
+      ".Window Manager",
+      "ĠP LA",
+      "ĠPL A",
+      "br aco",
+      "bra co",
+      ".set PositiveButton",
+      "Ġp du",
+      "Ġpd u",
+      "Ġg si",
+      "Ġgs i",
+      "Ġ Cli",
+      "ĠC li",
+      "ĠCl i",
+      "_gr adients",
+      "_grad ients",
+      "_gradient s",
+      "Ñı д",
+      "ĠWh isper",
+      "c stdint",
+      "Ġl äng",
+      "Ġlä ng",
+      "Ġform ulations",
+      "Ġformulation s",
+      "Ġformul ations",
+      "é nom",
+      "én om",
+      "ourn emouth",
+      "[ $_",
+      "[$ _",
+      "Ġordin arily",
+      ".set Username",
+      ".setUser name",
+      "Ġfacult ies",
+      "MIT TED",
+      "/ values",
+      "/value s",
+      "Ġwe ir",
+      "Ġwei r",
+      "ĠA pt",
+      "ĠAp t",
+      "M Z",
+      "ĉ cf",
+      "ĉc f",
+      "u cken",
+      "uc ken",
+      "uck en",
+      "ĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉ",
+      "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉ",
+      "def ense",
+      "[ iVar",
+      "[i Var",
+      "ĠBusiness Exception",
+      "Select ors",
+      "Selector s",
+      "Sel ectors",
+      "Sele ctors",
+      "( coordinates",
+      "(co ordinates",
+      "ĠRe sets",
+      "ĠRes ets",
+      "ĠReset s",
+      "ĠDr inks",
+      "ĠDrink s",
+      "o leans",
+      "ole ans",
+      "olean s",
+      "(st ypy",
+      "_ IOC",
+      "_I OC",
+      "_IO C",
+      ". xxx",
+      ".x xx",
+      ".xx x",
+      "ĠS later",
+      "ĠSl ater",
+      "ĠSlate r",
+      "ĠB elize",
+      "ĠBel ize",
+      "Ġ /************************************************************************",
+      "Ġ/ ************************************************************************",
+      "Ġ/**************************************************************** ********",
+      "ad din",
+      "add in",
+      "_ep isodes",
+      "_episode s",
+      "Ġis chem",
+      "Ġisc hem",
+      "legal ArgumentException",
+      "D anny",
+      "Dan ny",
+      "Ġ pared",
+      "Ġp ared",
+      "Ġpar ed",
+      "Ġpa red",
+      "Ġpare d",
+      ".code haus",
+      "ĠAs sy",
+      "ĠAss y",
+      "ĉ Rect",
+      "ĉR ect",
+      "â ŀ",
+      ". lista",
+      ".l ista",
+      ".list a",
+      ".li sta",
+      "Ġв аÑĪ",
+      "Ġва ÑĪ",
+      "Ġv ets",
+      "Ġve ts",
+      "Ġvet s",
+      "H WND",
+      "HW ND",
+      "is oner",
+      "ison er",
+      "iso ner",
+      "Ġ xo",
+      "Ġx o",
+      "Ġor ally",
+      "Ġoral ly",
+      "Ġ Stmt",
+      "ĠSt mt",
+      ".r nn",
+      "ĠD PI",
+      "ĠDP I",
+      "ĠSt rikes",
+      "ĠStr ikes",
+      "ĠStrike s",
+      ".setViewport View",
+      "Ġèĩª åĬ¨çĶŁæĪIJ",
+      "Y ELLOW",
+      "GL enum",
+      "part ners",
+      "partner s",
+      "Ġ Implicit",
+      "ĠImp licit",
+      "ĠImpl icit",
+      "Ġt ako",
+      "Ġta ko",
+      "Ġtak o",
+      "âĢĻ elle",
+      "âĢĻe lle",
+      "Ġerm ög",
+      "total Count",
+      "G il",
+      "Gi l",
+      "ĉ work",
+      "ĉw ork",
+      "Ġpr atic",
+      "Ġpra tic",
+      "Ġprat ic",
+      "in ati",
+      "ina ti",
+      "a bies",
+      "ab ies",
+      "abi es",
+      "ĠSk inner",
+      "ĠSkin ner",
+      "Ġspirit ed",
+      "Ġspir ited",
+      "Ġpancre atic",
+      "Ġh df",
+      "Ġhd f",
+      "' em",
+      "'e m",
+      "Ġpsych osis",
+      "Ġpsycho sis",
+      "o licit",
+      "ol icit",
+      "olic it",
+      "oli cit",
+      "Ġ\" {\"",
+      "Ġ\"{ \"",
+      "_at ual",
+      "_a tual",
+      "Ġé lect",
+      "Ġél ect",
+      "TE AM",
+      "Ġd ak",
+      "Ġda k",
+      "ĠSW AT",
+      ". FragmentManager",
+      ".Fragment Manager",
+      "Ġprovision ing",
+      "l ifetime",
+      "life time",
+      "lif etime",
+      "_EXT ENSIONS",
+      "_EXTENSION S",
+      "Ġ CASCADE",
+      "ĠC ASCADE",
+      "ĠCAS CADE",
+      "Ġ ![",
+      "Ġ! [",
+      "( KP",
+      "(K P",
+      "Ġ vem",
+      "Ġv em",
+      "Ġve m",
+      "ĠInter racial",
+      "ĠInterr acial",
+      "' ]},Ċ",
+      "'] },Ċ",
+      "']} ,Ċ",
+      "sp acer",
+      "space r",
+      "spa cer",
+      "_ kv",
+      "_k v",
+      "W arehouse",
+      "Ware house",
+      "R DD",
+      "RD D",
+      "_f sm",
+      "_fs m",
+      ".Stretch Image",
+      ", Yes",
+      ",Y es",
+      "ĠRefuge e",
+      "ĠBr inging",
+      "ĠBring ing",
+      "Ġv álido",
+      "Ġvál ido",
+      ". intersection",
+      ".inter section",
+      "Ġsp ooky",
+      "Ġspo oky",
+      "_ portal",
+      "_p ortal",
+      "_port al",
+      "_por tal",
+      "Ġ moth",
+      "Ġm oth",
+      "Ġmot h",
+      "Ġmo th",
+      "ĠZ odiac",
+      "ĠSOC IAL",
+      "M imeType",
+      "'] }}</",
+      "']} }</",
+      "Ġres izable",
+      "äº Ľ",
+      "( phase",
+      "(ph ase",
+      "(mapped By",
+      "Ġmund ial",
+      "Ġcon vo",
+      "Ġconv o",
+      "/ left",
+      "/l eft",
+      "/ documents",
+      "/doc uments",
+      "/document s",
+      "w ashing",
+      "wash ing",
+      "ĠAm érica",
+      "_ quota",
+      "_qu ota",
+      ". poster",
+      ".p oster",
+      ".post er",
+      ".pos ter",
+      ".po ster",
+      "' ]\");Ċ",
+      "'] \");Ċ",
+      "Ġst ellt",
+      "ĠDISCLAIM ER",
+      "[ opt",
+      "[o pt",
+      "[op t",
+      "Ġ eds",
+      "Ġe ds",
+      "Ġed s",
+      "ĠR aces",
+      "ĠRa ces",
+      "ĠRace s",
+      "ĠRac es",
+      "vent as",
+      "ven tas",
+      "venta s",
+      "Ġ pz",
+      "Ġp z",
+      "ĠCap ac",
+      "ĠCa pac",
+      "ĠUser Dao",
+      "i test",
+      "it est",
+      "ite st",
+      "ites t",
+      "Pro veedor",
+      "ĠShot gun",
+      "Ġthirst y",
+      "ĠBal anced",
+      "ĠBalance d",
+      "ique ta",
+      "iqu eta",
+      "Ġhe aler",
+      "Ġheal er",
+      "/ \")",
+      "/\" )",
+      ". Sdk",
+      ".S dk",
+      "Ġt ert",
+      "Ġte rt",
+      "Ġter t",
+      "\" data",
+      "\"d ata",
+      "_ province",
+      "_pro vince",
+      "_prov ince",
+      ". Automation",
+      ".A utomation",
+      "Ġfont WithName",
+      "_ ANT",
+      "_A NT",
+      "_AN T",
+      "ç ķĮ",
+      "çķ Į",
+      "ood les",
+      "oodle s",
+      "ĠRE PRESENT",
+      "_ GPS",
+      "_G PS",
+      "_GP S",
+      "Ġpersu asion",
+      "ĠDisc ussions",
+      "ĠDiscussion s",
+      "ĠDiscuss ions",
+      "Ġ fred",
+      "Ġf red",
+      "Ġfr ed",
+      "Ġfre d",
+      "N EG",
+      "NE G",
+      ": border",
+      ":b order",
+      "ĉ initialize",
+      "ĉinitial ize",
+      "ĉg log",
+      "ĉgl og",
+      "- capital",
+      "-cap ital",
+      "ĠIm Vec",
+      "Ġde vis",
+      "Ġdev is",
+      "C andidates",
+      "Candidate s",
+      ". animations",
+      ".an imations",
+      ".animation s",
+      ".anim ations",
+      "Ġrag azzi",
+      "Ġragaz zi",
+      "ĠProm etheus",
+      "ĠK idd",
+      "ĠKi dd",
+      "ĠKid d",
+      "Ġprogram ma",
+      "Ġprogramm a",
+      "Certificate s",
+      "Cert ificates",
+      "C onta",
+      "Cont a",
+      "Con ta",
+      ".es presso",
+      "Ġ ëIJĺ",
+      "ĠëIJ ĺ",
+      "Ġbe ide",
+      "Ġbei de",
+      "éĻ Ĩ",
+      ".get Raw",
+      "Ġ FullName",
+      "ĠFull Name",
+      "Ġ iam",
+      "Ġi am",
+      "Ġia m",
+      "( *)(",
+      "(* )(",
+      "(*) (",
+      "ma ids",
+      "maid s",
+      "mai ds",
+      "B H",
+      "ĠCon spiracy",
+      "_ DU",
+      "_D U",
+      "Ġblat antly",
+      "Ġblatant ly",
+      "Ġ\\ |",
+      "ĠW ig",
+      "ĠWi g",
+      "ĠCon j",
+      "ĠCo nj",
+      "Rendering Context",
+      "M itch",
+      "Mit ch",
+      "Ġalle les",
+      "Ġallele s",
+      "Ġ 注æĦı",
+      "Ġ注 æĦı",
+      "Ġr ims",
+      "Ġri ms",
+      "Ġrim s",
+      "Ġ Neighbor",
+      "ĠNe ighbor",
+      "ĠK ylie",
+      "ĠKy lie",
+      ". party",
+      ".p arty",
+      ".part y",
+      ".par ty",
+      "t ors",
+      "to rs",
+      "tor s",
+      "Ġì¡° íļĮ",
+      "Ġw es",
+      "Ġwe s",
+      "ĠCraft ing",
+      "[ \".",
+      "[\" .",
+      ".s ponge",
+      "Ġ ê±",
+      "Ġê ±",
+      "Isl amic",
+      "Islam ic",
+      "Ġprosec uting",
+      "Ġ wik",
+      "Ġw ik",
+      "Ġwi k",
+      ".os gi",
+      ".o sgi",
+      "o ningen",
+      "on ingen",
+      "oning en",
+      "oni ngen",
+      "Gram mar",
+      "' im",
+      "'i m",
+      "Ġax ial",
+      "C leaning",
+      "Clean ing",
+      ".getExternal Storage",
+      "= ./",
+      "=. /",
+      "Ġchrom at",
+      "Ġchr omat",
+      "е Ñħ",
+      "a bay",
+      "ab ay",
+      "aba y",
+      "Ġb ola",
+      "Ġbo la",
+      "Ġbol a",
+      ".Ag gressive",
+      "'] ,$_",
+      "'], $_",
+      "'],$ _",
+      "iz acao",
+      "iza cao",
+      "Pre paring",
+      ": Any",
+      ":A ny",
+      ". ENTER",
+      ".EN TER",
+      "- windows",
+      "-w indows",
+      "-window s",
+      "Ġenr aged",
+      "_ dice",
+      "_d ice",
+      "_di ce",
+      "_dic e",
+      "Ġd etta",
+      "Ġdet ta",
+      "e cal",
+      "ec al",
+      "eca l",
+      "_OR IGIN",
+      "Ġ---- -->",
+      "Ġ----- ->",
+      "Ġ------ >",
+      "_ Blue",
+      "_B lue",
+      "_Bl ue",
+      "Ġbot anical",
+      "Ġfr ags",
+      "Ġfra gs",
+      "Ġfrag s",
+      "Ġfamil ial",
+      "Ġfamilia l",
+      "- du",
+      "-d u",
+      "Ġse izing",
+      "Ġseiz ing",
+      "Ġsei zing",
+      "( blocks",
+      "(b locks",
+      "(block s",
+      "(bl ocks",
+      ". rd",
+      ".r d",
+      ".check NotNull",
+      "Ġm iser",
+      "Ġmis er",
+      "Ġmi ser",
+      "Ġmise r",
+      "Ġmax x",
+      "Ġma xx",
+      "ĠK nee",
+      "ĠKn ee",
+      "View Item",
+      "Inner HTML",
+      "D anger",
+      "Da nger",
+      "Dan ger",
+      "( (__",
+      "(( __",
+      "((_ _",
+      "Ġprz ypad",
+      "Ġprzy pad",
+      "create Url",
+      "* *,",
+      "** ,",
+      "ĠDecor ating",
+      "ATE GY",
+      "ATEG Y",
+      "? >/",
+      "?> /",
+      ". Designer",
+      ".Des igner",
+      ".Design er",
+      "hex digest",
+      "ĠEvery where",
+      "all eries",
+      "alle ries",
+      "aller ies",
+      ".TEXT URE",
+      ". Blocks",
+      ".B locks",
+      ".Bl ocks",
+      ".Block s",
+      "z ell",
+      "ze ll",
+      "zel l",
+      "Ġpre ço",
+      "S uddenly",
+      "input Email",
+      "( sync",
+      "(s ync",
+      ". bd",
+      ".b d",
+      "gold en",
+      "> ');",
+      ">' );",
+      ">') ;",
+      "ĠDick inson",
+      "> >(Ċ",
+      ">> (Ċ",
+      ">>( Ċ",
+      "Ġ QUEUE",
+      "ĠQUE UE",
+      "Ġ getColumn",
+      "Ġget Column",
+      "ĠgetC olumn",
+      "ĠS AND",
+      "ĠSA ND",
+      "ĠSAN D",
+      ". piece",
+      ".p iece",
+      ".pi ece",
+      "l icer",
+      "lic er",
+      "li cer",
+      "lice r",
+      "Fl utter",
+      "Ġget Version",
+      "Ġresource Id",
+      "o gl",
+      "og l",
+      "ÅĤ aw",
+      "ÅĤa w",
+      ". Branch",
+      ".Br anch",
+      "ĉ web",
+      "ĉw eb",
+      "Ġfr amerate",
+      "Ġframe rate",
+      "Ġfram erate",
+      "P PP",
+      "PP P",
+      "Ġf ray",
+      "Ġfr ay",
+      "Ġfra y",
+      "C NT",
+      "CN T",
+      "Ġinform atie",
+      "Ġinformat ie",
+      "' ]čĊčĊ",
+      "'] čĊčĊ",
+      "']čĊ čĊ",
+      "ne as",
+      "nea s",
+      "Header Code",
+      "Ġ æ¸",
+      "Ġæ ¸",
+      "Ġt rg",
+      "Ġtr g",
+      "raw types",
+      "H onda",
+      "Ho nda",
+      "Hon da",
+      "Ġmark eter",
+      "Ġmarket er",
+      "Ġ requestData",
+      "Ġrequest Data",
+      "Ġ Pg",
+      "ĠP g",
+      "ĉ not",
+      "ĉn ot",
+      "ĉno t",
+      "Ġpage Info",
+      "Ġakt uellen",
+      "Ġaktu ellen",
+      "ãģ ķãĤĵ",
+      "ãģķ ãĤĵ",
+      "Ġ AMS",
+      "ĠA MS",
+      "ĠAM S",
+      "push ViewController",
+      "ĉ AL",
+      "ĉA L",
+      "Ġv ests",
+      "Ġve sts",
+      "Ġvest s",
+      "Ġves ts",
+      "p roduce",
+      "pro duce",
+      "produ ce",
+      "prod uce",
+      "-m ême",
+      "ĠRah man",
+      "F unny",
+      "Fun ny",
+      "E Z",
+      "_ Valid",
+      "_Val id",
+      "Ġsquad ron",
+      "Ġ lash",
+      "Ġl ash",
+      "Ġla sh",
+      "Ġlas h",
+      "Ġ irm",
+      "Ġi rm",
+      "Ġir m",
+      "i asco",
+      "ias co",
+      "ĠP aran",
+      "ĠPar an",
+      "ĠPa ran",
+      "ĠPara n",
+      "Ġpet ites",
+      "Ġpetite s",
+      "Ġpetit es",
+      "ĠDec ay",
+      "Ġun initialized",
+      "priv ileged",
+      "Ġm bedtls",
+      "å¤ĩ 注",
+      "Ġ ^.",
+      "Ġ^ .",
+      "Ġec static",
+      "D etroit",
+      "Det roit",
+      "Ġp arten",
+      "Ġpart en",
+      "Ġpar ten",
+      "Ġparte n",
+      "Ġsou venir",
+      ".get Login",
+      ".getLog in",
+      "моÑĤ ÑĢ",
+      "мо ÑĤÑĢ",
+      "en ção",
+      "ĠmÃŃn imo",
+      "ĠAccess ed",
+      "ĠAcc essed",
+      "r ió",
+      "ri ó",
+      "M ic",
+      "Mi c",
+      "ĠV ocal",
+      "ĠVo cal",
+      "ĠVoc al",
+      ".Set String",
+      "Ġmens ajes",
+      "Ġmensaje s",
+      "åĢ į",
+      "Ġattr avers",
+      "ĠA ph",
+      "ĠAp h",
+      "Ġ ');čĊ",
+      "Ġ' );čĊ",
+      "Ġ') ;čĊ",
+      "Ġ'); čĊ",
+      "ü nde",
+      "ün de",
+      "ünd e",
+      "Ġenchant ed",
+      "Ġench anted",
+      "ĠRoot State",
+      "ĠCLOSE D",
+      "ĉ ĉĉĉĉĉĉĉčĊ",
+      "ĉĉ ĉĉĉĉĉĉčĊ",
+      "ĉĉĉĉ ĉĉĉĉčĊ",
+      "ĉĉĉ ĉĉĉĉĉčĊ",
+      "ĉĉĉĉĉ ĉĉĉčĊ",
+      "ĉĉĉĉĉĉ ĉĉčĊ",
+      "ĉĉĉĉĉĉĉĉ čĊ",
+      "ĉĉĉĉĉĉĉ ĉčĊ",
+      "Ġcal iente",
+      "or ris",
+      "orr is",
+      "Ġphysic ists",
+      "Ġphysicist s",
+      "h wnd",
+      "hw nd",
+      "_ vi",
+      "_v i",
+      "Ġráp ido",
+      "Ġcapital ized",
+      "Ġcapitalize d",
+      "ed By",
+      "Ġmach ining",
+      "Ġh ubby",
+      "Ġhub by",
+      "ĠSt acy",
+      "ĠSta cy",
+      ". Bus",
+      ".B us",
+      "d rink",
+      "dr ink",
+      "H ur",
+      "Hu r",
+      "Ġpr opia",
+      "Ġprop ia",
+      "Unit Test",
+      "Ġmiscon ception",
+      "_ _));Ċ",
+      "__ ));Ċ",
+      "__) );Ċ",
+      "__)) ;Ċ",
+      "/ dc",
+      "/d c",
+      "ĠMay weather",
+      "_m C",
+      ". createFrom",
+      ".create From",
+      "ĠQ Painter",
+      "ro psych",
+      "rops ych",
+      "inn itus",
+      "a yas",
+      "ay as",
+      "aya s",
+      "Ġg eg",
+      "Ġge g",
+      "( dw",
+      "(d w",
+      "Ġus ado",
+      "Ġusa do",
+      "Ġtr ickle",
+      "Ġtrick le",
+      "Ġann ihil",
+      "Ġanni hil",
+      "ĠP asta",
+      "ĠPa sta",
+      "ĠPast a",
+      "ĠPas ta",
+      "Ġ ++Ċ",
+      "Ġ+ +Ċ",
+      "Ġ++ Ċ",
+      "(Expected Conditions",
+      ".post Value",
+      "i cap",
+      "ic ap",
+      "ica p",
+      "ĠDon etsk",
+      "_ soup",
+      "_s oup",
+      "_so up",
+      "- publish",
+      "-p ublish",
+      "ĠP b",
+      "m entions",
+      "ment ions",
+      "mention s",
+      "AC CEPT",
+      ". Pull",
+      ".P ull",
+      ", âĢĻâĢĻ",
+      ",âĢĻ âĢĻ",
+      "Ġret arded",
+      "Ġretard ed",
+      "_ ATOM",
+      "_AT OM",
+      "ĠTerm inator",
+      "ĠTermin ator",
+      "- court",
+      "-c ourt",
+      "-co urt",
+      "ĠCLLocation Coordinate",
+      "Ġrev erence",
+      "Ġreve rence",
+      "Ġrever ence",
+      "ĠS SC",
+      "ĠSS C",
+      "ut ely",
+      "ute ly",
+      "ĠW ON",
+      "ĠG SL",
+      "ĠGS L",
+      "f rei",
+      "fr ei",
+      "fre i",
+      ".get Longitude",
+      ".getLong itude",
+      "Ġopen FileDialog",
+      ".B utter",
+      ".But ter",
+      "- important",
+      "-import ant",
+      "_M ANY",
+      "_MAN Y",
+      "_MA NY",
+      "ĠG ong",
+      "ĠGo ng",
+      "ĠGon g",
+      "âĢľ How",
+      "Ġg orge",
+      "Ġgor ge",
+      "= msg",
+      "=m sg",
+      "ĠE zek",
+      "ĠEz ek",
+      "create Command",
+      ": checked",
+      "Ġinfo graphic",
+      "Ġinf ographic",
+      ". WEST",
+      ".W EST",
+      "D irs",
+      "Dir s",
+      "Di rs",
+      "Ġgu arda",
+      "Ġguard a",
+      "Ġguar da",
+      "Ġbee tle",
+      "Ġbeet le",
+      "< small",
+      "<s mall",
+      "- android",
+      "-and roid",
+      "Ġcr editor",
+      "Ġcre ditor",
+      "Ġcred itor",
+      "Ġcredit or",
+      "ĠM éd",
+      "ĠMé d",
+      "Ġfinal ist",
+      "Ġfin alist",
+      "Ġ abl",
+      "Ġa bl",
+      "Ġab l",
+      "n ev",
+      "ne v",
+      "_ interaction",
+      "_inter action",
+      "ĠMonte rey",
+      "ĠMonter ey",
+      "j ah",
+      "ja h",
+      "Ġcand ies",
+      "ĠQu incy",
+      "ĠQui ncy",
+      "èª Ń",
+      "Ġbatch Size",
+      "a kit",
+      "ak it",
+      "aki t",
+      "Ġ obe",
+      "Ġo be",
+      "Ġob e",
+      "( para",
+      "(p ara",
+      "(par a",
+      "(pa ra",
+      "Ġexperi mented",
+      "Ġexperiment ed",
+      "Ġcouncill ors",
+      "Ġcouncillor s",
+      "Ġcl ashed",
+      "Ġclash ed",
+      "Ġclas hed",
+      "Ġcla shed",
+      "s qu",
+      "sq u",
+      "-st rokes",
+      "-str okes",
+      "ĠG K",
+      "Ġ Expires",
+      "ĠEx pires",
+      "ĠExp ires",
+      "Ġprosec utions",
+      "Ġprosecution s",
+      "ĠCr eatures",
+      "ĠCre atures",
+      "ĠCreat ures",
+      "ĠCreature s",
+      "Ġy ö",
+      "x lim",
+      "xl im",
+      "_ IMP",
+      "_I MP",
+      "_IM P",
+      "Entry Point",
+      "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      ". DefaultCellStyle",
+      ".Default CellStyle",
+      "Ġb reve",
+      "Ġbr eve",
+      "Ġbre ve",
+      "ĠBrit ann",
+      "Ġswe aty",
+      "Ġsweat y",
+      "Ġl eth",
+      "Ġle th",
+      "Ġlet h",
+      "Ġflash back",
+      "per manent",
+      "ĠJ DK",
+      "ĠJD K",
+      "_ Details",
+      "_D etails",
+      "_De tails",
+      "_Detail s",
+      "E uro",
+      "Eu ro",
+      "p pt",
+      "pp t",
+      "Ġr ichTextBox",
+      "Ġrich TextBox",
+      "/ board",
+      "/b oard",
+      "Ġt rance",
+      "Ġtr ance",
+      "Ġtra nce",
+      "Ġtran ce",
+      ". cycle",
+      ".c ycle",
+      ".cy cle",
+      "') ;\");Ċ",
+      "'); \");Ċ",
+      "');\" );Ċ",
+      "Ġto xin",
+      "Ġtox in",
+      "_de init",
+      "Ġover arching",
+      "Ġconfig parser",
+      "ĠKaw asaki",
+      ". thumb",
+      ".th umb",
+      "Ġpl aya",
+      "Ġplay a",
+      "Ġpla ya",
+      "ĠJose f",
+      "ĠJos ef",
+      "+ _",
+      "Ġzero es",
+      "Ġzer oes",
+      "Ġa up",
+      "Ġau p",
+      "ĠH ari",
+      "ĠHar i",
+      "ĠHa ri",
+      "com mitted",
+      "comm itted",
+      "commit ted",
+      "N it",
+      "Ni t",
+      ". filePath",
+      ".file Path",
+      "ĠDis abilities",
+      "man ufact",
+      "- aligned",
+      "-align ed",
+      "-al igned",
+      ". RESET",
+      ".RE SET",
+      ".RES ET",
+      "Ġr usty",
+      "Ġru sty",
+      "Ġrust y",
+      "Ġrus ty",
+      "E y",
+      "Ġo usted",
+      "Ġou sted",
+      "c osa",
+      "co sa",
+      "cos a",
+      "Struct ured",
+      "Structure d",
+      ".get D",
+      "Ġs ábado",
+      "> Loading",
+      "_ mA",
+      "_m A",
+      ".get Random",
+      "b lings",
+      "bl ings",
+      "bling s",
+      "Ġche eses",
+      "Ġcheese s",
+      "Ġchees es",
+      "t ti",
+      "tt i",
+      ". âĢ¢",
+      "ĠBurg ess",
+      "ender it",
+      "ende rit",
+      ". ',čĊ",
+      ".' ,čĊ",
+      ".', čĊ",
+      "(\" \"+",
+      "(\"\" +",
+      "a cb",
+      "ac b",
+      "% p",
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+      "inde xed",
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+      "_pred icate",
+      "nes ia",
+      "Ġb ied",
+      "Ġbi ed",
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+      "ĠCI T",
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+      "Ġvi ên",
+      "c ycl",
+      "cy cl",
+      "_ Cancel",
+      "_C ancel",
+      "Ġcon clusive",
+      "Ġconclus ive",
+      "Ġconcl usive",
+      "Ġappell ate",
+      "Ġappel late",
+      "inform atics",
+      "S J",
+      "Ġel ective",
+      "Ġelect ive",
+      "role Id",
+      "Fetch er",
+      "ĉ Command",
+      "(\" (%",
+      "(\"( %",
+      "Ġf art",
+      "Ġfa rt",
+      "Ġfar t",
+      "I LA",
+      "IL A",
+      "get Block",
+      "A USE",
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+      "Ġд ан",
+      "Ġда н",
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+      "ĠArt e",
+      "Ġnot ifying",
+      "Ġnotify ing",
+      "Ġg ele",
+      "Ġge le",
+      "Ġgel e",
+      ". same",
+      ".s ame",
+      ".sa me",
+      ".sam e",
+      "ĠRe gel",
+      "ĠReg el",
+      "Ġ BaÅŁ",
+      "ĠB aÅŁ",
+      "ĠBa ÅŁ",
+      ". creation",
+      ".c reation",
+      "Ġ VN",
+      "ĠV N",
+      "_ community",
+      "_comm unity",
+      "Ġuns ustainable",
+      "S EX",
+      "SE X",
+      "Ġgrid Size",
+      "res cia",
+      "avers able",
+      "(', ')[",
+      "(',' )[",
+      "(',') [",
+      "ĠPh elps",
+      "á»ķ i",
+      "ANCE LED",
+      "ANCEL ED",
+      "- IS",
+      "-I S",
+      ".run ners",
+      ".runner s",
+      "ĠSt okes",
+      "ĠSto kes",
+      "ĠStoke s",
+      ". Produ",
+      ".P rodu",
+      ".Pro du",
+      ".Pr odu",
+      "Ġwh ipping",
+      "Ġwhip ping",
+      "_ac quire",
+      "Ġinvestig ación",
+      "f ried",
+      "fr ied",
+      ".copy With",
+      "ĠHard cover",
+      "- Se",
+      "-S e",
+      "áŀ¶ áŀ",
+      "inv itation",
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+      "ĠD orm",
+      "ĠDo rm",
+      "ĠDor m",
+      "ĠÑģпиÑģ ка",
+      "Ġconcaten ated",
+      "Ġconcatenate d",
+      "o phil",
+      "op hil",
+      "oph il",
+      "Ġth inker",
+      "Ġthink er",
+      "Ġthin ker",
+      "/font awesome",
+      "ĠLe opard",
+      "ĠLeo pard",
+      "Ġ\" /\");Ċ",
+      "Ġ\"/ \");Ċ",
+      "Ġ\"/\" );Ċ",
+      "Ġresidual s",
+      "ĠMicro wave",
+      "ĠMic rowave",
+      "Ġcon forme",
+      "Ġconform e",
+      "th rop",
+      "thr op",
+      "thro p",
+      "Ġdis emb",
+      "Ġdi semb",
+      "Ġdise mb",
+      "ĠO MG",
+      "ĠOM G",
+      "ĠDisc ipline",
+      "ĠAc robat",
+      "/ repository",
+      "/re pository",
+      "/repos itory",
+      "d fa",
+      "df a",
+      "_ MED",
+      "_M ED",
+      "_ME D",
+      "buf io",
+      "Ġméth ode",
+      "_H OLD",
+      "i asi",
+      "ia si",
+      "ias i",
+      "_ legacy",
+      "_leg acy",
+      ") ččĊ",
+      "æ£ Ģ",
+      "Get ProcAddress",
+      "Ġy ay",
+      "Ġya y",
+      "ot ence",
+      "ote nce",
+      "oten ce",
+      "order id",
+      "orde rid",
+      "- tw",
+      "-t w",
+      "Ġd early",
+      "Ġdear ly",
+      "In coming",
+      "Inc oming",
+      "/ il",
+      "/i l",
+      "Ġneuro p",
+      "Ġneu rop",
+      "Ġneur op",
+      "u cz",
+      "uc z",
+      ") ;čččĊ",
+      "); čččĊ",
+      "ĠInnov ative",
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+      "Ġprof und",
+      "ig mat",
+      "igma t",
+      "igm at",
+      "Selection Mode",
+      "re levant",
+      ". GO",
+      ".G O",
+      "Ġbru ises",
+      "Ġs ach",
+      "Ġsa ch",
+      "Ġsac h",
+      "o def",
+      "od ef",
+      "ode f",
+      "Ġre imb",
+      "Ġreim b",
+      "/ desktop",
+      "/d esktop",
+      "- spot",
+      "-s pot",
+      "-sp ot",
+      "un dance",
+      "und ance",
+      "unda nce",
+      "undan ce",
+      "Ent ropy",
+      "Entr opy",
+      "\\ core",
+      "Ġs uger",
+      "Ġsu ger",
+      "Ġsug er",
+      "Ġ Mvc",
+      "ĠM vc",
+      "ĠGN OME",
+      "_ indx",
+      "_in dx",
+      "_i ndx",
+      "_ind x",
+      "ĠYY STYPE",
+      "ĠYYS TYPE",
+      "ĠMat lab",
+      "ĠC IF",
+      "ĠCI F",
+      "Ġ *))",
+      "Ġ* ))",
+      "Ġ*) )",
+      "Ġproduct List",
+      "Ġ Alright",
+      "ĠAl right",
+      "ace mark",
+      "ac emark",
+      "ÑĤ ив",
+      "ÑĤи в",
+      "mod ification",
+      "int ernational",
+      "inter national",
+      "intern ational",
+      "Ġh omers",
+      "Ġhome rs",
+      "Ġhom ers",
+      "Ġho mers",
+      "Ġhomer s",
+      "Ġd icts",
+      "Ġdi cts",
+      "Ġdict s",
+      "Ġdic ts",
+      "ĠQ Font",
+      ". SQLite",
+      ".SQL ite",
+      "Ġtransplant ation",
+      "ĠMessageBox Button",
+      "ĠEl ves",
+      "' ]])Ċ",
+      "'] ])Ċ",
+      "']] )Ċ",
+      "(Q Icon",
+      "Ġcin emas",
+      "Ġcinema s",
+      "Ġcine mas",
+      "CO ORD",
+      "- China",
+      "-Ch ina",
+      "Ġkh ẩu",
+      "æĪij çļĦ",
+      "Ġsk ulls",
+      "Ġskull s",
+      "Ġpain staking",
+      "Ġpains taking",
+      "f ce",
+      "fc e",
+      ".XR Label",
+      "Ġ specifier",
+      "Ġspec ifier",
+      "Ġprefer ring",
+      "Ġpref erring",
+      "/ activity",
+      "( Photo",
+      "á lt",
+      "ál t",
+      ". lot",
+      ".l ot",
+      ".lo t",
+      "' '.",
+      "'' .",
+      "an nonce",
+      "ann once",
+      "annon ce",
+      "anno nce",
+      ".google code",
+      "- pdf",
+      "-p df",
+      "ĠP oke",
+      "ĠPo ke",
+      "ĠPok e",
+      "_ ACL",
+      "_A CL",
+      "_AC L",
+      "Ġend owed",
+      "dis cover",
+      "disc over",
+      ".o mg",
+      ".om g",
+      "Ġwood land",
+      ". Magic",
+      ".M agic",
+      "Ġvol ont",
+      "Not Allowed",
+      "Ġc have",
+      "Ġch ave",
+      "Ġcha ve",
+      "B MW",
+      "BM W",
+      "',' =',",
+      "','= ',",
+      "ĠS IX",
+      "ĠSI X",
+      "æĪij 们",
+      "Ġko sher",
+      "Ġkos her",
+      "Ġas piration",
+      "Ġaspir ation",
+      "Ġasp iration",
+      "i ntl",
+      "in tl",
+      "int l",
+      "_ref ptr",
+      "' +Ċ",
+      "'+ Ċ",
+      "ment or",
+      "men tor",
+      ". club",
+      ".c lub",
+      ".cl ub",
+      "Window State",
+      ". ARR",
+      ".A RR",
+      ".AR R",
+      "Ġ zza",
+      "Ġz za",
+      "Ġzz a",
+      "Ġmessage Type",
+      ". equ",
+      ".e qu",
+      ".eq u",
+      "T hor",
+      "Th or",
+      "Tho r",
+      "Ġin just",
+      "Ġinj ust",
+      "Ġg ums",
+      "Ġgu ms",
+      "Ġgum s",
+      "Ġborder Side",
+      "/ ////",
+      "// ///",
+      "//// /",
+      "/// //",
+      "ĠTrans mit",
+      "Ġbuf size",
+      "Ġh ak",
+      "Ġha k",
+      "Ġ ellas",
+      "Ġel las",
+      "Ġell as",
+      "Ġella s",
+      "R ANDOM",
+      "RAND OM",
+      "ĉ mc",
+      "ĉm c",
+      "Ġp ea",
+      "Ġpe a",
+      "e ko",
+      "ek o",
+      "document o",
+      "Ġhyster ia",
+      "Ġare nas",
+      "Ġar enas",
+      "Ġaren as",
+      "Ġarena s",
+      "Ġgun men",
+      "Ġm ike",
+      "Ġmi ke",
+      "Ġmik e",
+      "Ġimp unity",
+      "at isation",
+      "atis ation",
+      "_ Zero",
+      "_Z ero",
+      "_COMP ANY",
+      "ĠG ors",
+      "ĠGo rs",
+      "ĠGor s",
+      "Ġuse Class",
+      "( redis",
+      "(r edis",
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+      "Ġalpha numeric",
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+      "Ġin field",
+      "Ġinf ield",
+      "Ġ{ }));Ċ",
+      "Ġ{} ));Ċ",
+      "Ġ{}) );Ċ",
+      "Ġs pac",
+      "Ġsp ac",
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+      "id User",
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+      "Ġsuperv ise",
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+      "A WN",
+      "AW N",
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+      "åľ¨ 线",
+      "_ softmax",
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+      "Ġunder world",
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+      "Ġkt er",
+      "id ders",
+      "idd ers",
+      ".add Node",
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+      "-check ed",
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+      "Ġke yst",
+      "Ġkeys t",
+      "ĠW TO",
+      "ĠWT O",
+      ". signals",
+      ".sign als",
+      ".signal s",
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+      "ĠPan g",
+      "ĠPa ng",
+      "\\ R",
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+      "=p os",
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+      "ĠClo set",
+      "(\" {\\\"",
+      "(\"{ \\\"",
+      "id eon",
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+      "ideo n",
+      "Ġnécess aire",
+      "( )\"Ċ",
+      "() \"Ċ",
+      "()\" Ċ",
+      "_RECE IVED",
+      "Ġrésult ats",
+      "Ġm oden",
+      "Ġmod en",
+      "Ġmode n",
+      "Ġmo den",
+      "ĠIceland ic",
+      "; d",
+      ". allowed",
+      ".all owed",
+      ".allow ed",
+      "(new User",
+      "Ġmerc iless",
+      ".Wait For",
+      "Ġday care",
+      "ĠCon veyor",
+      "Ġ Ù",
+      "ا Ù",
+      "า à¸",
+      "Ñ Ł",
+      "ÑŁ ÑŁ",
+      "Ġ à¸",
+      "Ġà ¸",
+      "à¹Ģ à¸",
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+      "ãĢĢ ãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢ ãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢ ãĢĢ",
+      "Ġ اØ",
+      "Ġا Ø",
+      "ॠĪ",
+      "Ġ ãĢĢ",
+      "ĠãĢ Ģ",
+      "Ñ Ĺ",
+      "i á»ĩ",
+      "iá» ĩ",
+      "ÑŁ ÑŁÑŁÑŁ",
+      "ÑŁÑŁ ÑŁÑŁ",
+      "ÑŁÑŁÑŁ ÑŁ",
+      "à¥ĩ à¤Ĥ",
+      "à¥ĩठĤ",
+      "Ñĸ д",
+      "ा र",
+      "ाठ°",
+      "ÙĨ د",
+      "Ñĸ в",
+      "Ġ ब",
+      "Ġठ¬",
+      "Ġ à¤ľ",
+      "Ġठľ",
+      "à ¥¤",
+      "ॠ¤",
+      "н Ñĸ",
+      "ठĹ",
+      "Ġ Ø¢",
+      "ĠØ ¢",
+      "Ġ न",
+      "Ġठ¨",
+      "Ñ Ķ",
+      "Ġ ÑĢа",
+      "ĠÑĢ а",
+      "Ġ à¤ħ",
+      "Ġठħ",
+      "Ñģ ÑĮ",
+      "Ġ व",
+      "Ġठµ",
+      "ÑĨ Ñĸ",
+      "Ġv á»",
+      "³ ت",
+      "Ġ द",
+      "Ġठ¦",
+      "n ÄĽ",
+      "Ġ ल",
+      "Ġठ²",
+      "Ġ ãĢĢĠãĢĢ",
+      "ĠãĢĢ ĠãĢĢ",
+      "ĠãĢĢĠ ãĢĢ",
+      "ॠĤ",
+      "ठ¦",
+      "à¸Ń à¸ĩ",
+      "ÙĪ ÙĨ",
+      "ठµ",
+      "a ÅŁ",
+      "๠Ĥ",
+      "ι κ",
+      "Ġ र",
+      "Ġठ°",
+      "Ġ ви",
+      "Ġв и",
+      "à¥į य",
+      "à¥įठ¯",
+      "ा न",
+      "ाठ¨",
+      "Ġ از",
+      "Ġا ز",
+      "ĠØ§Ø ²",
+      "ا Ùĩ",
+      "ا٠ĩ",
+      "Ľ i",
+      "Ġh á»",
+      "à¥ĭ à¤Ĥ",
+      "i ế",
+      "ĠÄij á»",
+      "ठ¯",
+      "Ï į",
+      "Ġc ủ",
+      "Ġ بر",
+      "Ġب ر",
+      "Ġ ÙħÛĮ",
+      "ĠÙħ ÛĮ",
+      "Ġ اÛĮ",
+      "Ġا ÛĮ",
+      "Ġ à¤Ĩ",
+      "ĠठĨ",
+      "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "ि य",
+      "िठ¯",
+      "ÑŁÑŁÑŁÑŁ ÑŁÑŁÑŁÑŁ",
+      "в и",
+      "ر د",
+      "н Ñĥ",
+      "ÙĬ ÙĨ",
+      "ι α",
+      "Ġ त",
+      "Ġठ¤",
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+      "Ġà¤ķ र",
+      "ا ز",
+      "Ø§Ø ²",
+      "a ÄŁ",
+      "Ġ à¤ī",
+      "Ġठī",
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+      "ÏĦ α",
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+      "Ùĩ ا",
+      "ร ะ",
+      "j ÃŃ",
+      "Î ij",
+      "а ÑĤи",
+      "аÑĤ и",
+      "Ġ à¤Ĺ",
+      "ĠठĹ",
+      "Ġ ÑĤа",
+      "ĠÑĤ а",
+      "Ú Ĩ",
+      "ठľ",
+      "า à¸Ļ",
+      "าภĻ",
+      "Ġ à¤Ń",
+      "ĠठŃ",
+      "ि à¤ķ",
+      "िठķ",
+      "á v",
+      "Ġ Ú¯",
+      "Ï İ",
+      "า ย",
+      "าภ¢",
+      "Ġ à¤Ķ",
+      "ĠठĶ",
+      "ÅĻ ÃŃ",
+      "ا ÙĪ",
+      "ا٠Ī",
+      "Ġ Ñī",
+      "ĠÑ ī",
+      "Ġ à¤Ķर",
+      "Ġà¤Ķ र",
+      "ен нÑı",
+      "Ġ Ú©Ùĩ",
+      "ĠÚ© Ùĩ",
+      "ठ¡",
+      "ÏĦ ο",
+      "ε ι",
+      "Ġ à¤ĩ",
+      "Ġठĩ",
+      "à¥į त",
+      "à¥įठ¤",
+      "ठŁ",
+      "Û ±",
+      "Ġ ØĮ",
+      "ĠØ Į",
+      "Ïģ ο",
+      "η ÏĤ",
+      "ë ¬",
+      "Ñĸ н",
+      "i á»ģ",
+      "iá» ģ",
+      "i ên",
+      "iê n",
+      "Ġ вÑĸд",
+      "Ġв Ñĸд",
+      "ĠвÑĸ д",
+      "d ı",
+      "ÙĦ ÛĮ",
+      "Ġ ز",
+      "ĠØ ²",
+      "Ïģ α",
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+      "า à¸ĩ",
+      "าภĩ",
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+      "Ġà¹Ģ à¸",
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+      "ا ÙĬ",
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+      "Ø§Ø ´",
+      "ा ल",
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+      "ëħ Ħ",
+      "Ġ य",
+      "Ġठ¯",
+      "Ġ را",
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+      "ठ¼",
+      "Ñĥ в",
+      "ÙĪ Ùħ",
+      "Ġ عÙĦ",
+      "Ġع ÙĦ",
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+      "à¥Ī à¤Ĥ",
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+      "า ม",
+      "าภ¡",
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+      "Ġठı",
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+      "Ġ اÙĨ",
+      "Ġا ÙĨ",
+      "Ġ اÛĮÙĨ",
+      "Ġا ÛĮÙĨ",
+      "ĠاÛĮ ÙĨ",
+      "Ġv Ỽi",
+      "Ġvá» Ľi",
+      "Î £",
+      "ठļ",
+      "Û °",
+      "i á»ĥ",
+      "iá» ĥ",
+      "า à¸ģ",
+      "าภģ",
+      "Î Ļ",
+      "ا ع",
+      "Ø§Ø ¹",
+      "Ñĸ й",
+      "à¹ģ ล",
+      "Ùĩ اÛĮ",
+      "Ùĩا ÛĮ",
+      "Ñĩ а",
+      ". :.:",
+      ".: .:",
+      ".:. :",
+      "ÏĦ η",
+      "Ġ Îij",
+      "ĠÎ ij",
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+      "Ġn gh",
+      "Ġng h",
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+      "ÏĦ ε",
+      "à¥į à¤Ł",
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+      "μ α",
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+      "ý m",
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+      "à¥Ī ।",
+      "ï¼ ¼",
+      "ر ÙĬ",
+      "н иÑħ",
+      "ни Ñħ",
+      "Ïģ ι",
+      "Ù Ģ",
+      "ÑĢ о",
+      "Ġ à¤ļ",
+      "Ġठļ",
+      "ा त",
+      "ाठ¤",
+      "ا ÙĤ",
+      "ا٠Ĥ",
+      "Ġ श",
+      "Ġठ¶",
+      "ĠÄij á»Ļ",
+      "ĠÄijá» Ļ",
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+      "iá»ģ u",
+      "ภ¨",
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+      "Ñĸл ÑĮ",
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+      "Ġn Äĥ",
+      "Ïī ν",
+      "Ġ ÏĦοÏħ",
+      "ĠÏĦ οÏħ",
+      "ĠÏĦο Ïħ",
+      "к ий",
+      "ки й",
+      "í ĸ",
+      "Ġ Ñīо",
+      "ĠÑī о",
+      "à¥į व",
+      "à¥įठµ",
+      "Ġ اÙĦØ£",
+      "ĠاÙĦ Ø£",
+      "ا ئ",
+      "Ø§Ø ¦",
+      "t ı",
+      "Ġ ÏĦο",
+      "ĠÏĦ ο",
+      "¬ ¬",
+      "Ġ Ø·",
+      "ĠØ ·",
+      "Ùħ اÙĨ",
+      "Ùħا ÙĨ",
+      "Ġ Îł",
+      "ĠÎ ł",
+      "д и",
+      "ภ¶",
+      "ि à¤ı",
+      "िठı",
+      "ãģ£ ãģŁ",
+      "ãģ£ãģ Ł",
+      "ÛĮ Ùħ",
+      "ÃŃ nh",
+      "ÃŃn h",
+      "r av",
+      "ra v",
+      "ÄĽ t",
+      "Î ķ",
+      "Ġ Ñıк",
+      "ĠÑı к",
+      "ç Ĥ",
+      "à¸Ń à¸Ļ",
+      "ãģ¦ ãģĦ",
+      "ि ल",
+      "िठ²",
+      "Ñĸ ÑĤ",
+      "з а",
+      "á p",
+      "ठ§",
+      "Ġ êµ",
+      "Ġê µ",
+      "à¹ģ ละ",
+      "à¹ģล ะ",
+      "ÃŃ ch",
+      "ÃŃc h",
+      "Ġ Ø¢ÙĨ",
+      "ĠØ¢ ÙĨ",
+      "ت Ùĩ",
+      "Ġ Ùħع",
+      "ĠÙħ ع",
+      "н ий",
+      "ни й",
+      "Æ°á»Ľ c",
+      "Ġ اÙĦع",
+      "Ġا ÙĦع",
+      "ĠاÙĦ ع",
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+      "é «",
+      "ı y",
+      "Ġh á»į",
+      "Ġhá» į",
+      "ÑĤÑĮ ÑģÑı",
+      "Ġ Îļ",
+      "ĠÎ ļ",
+      "Ġ à¤ĩस",
+      "Ġà¤ĩ स",
+      "ï¼ ¿",
+      "Ġ ÚĨ",
+      "Ġ ÙĪاÙĦ",
+      "ĠÙĪ اÙĦ",
+      "ĠÙĪا ÙĦ",
+      "íķ Ļ",
+      "ÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁ ÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁ",
+      "Ġ vý",
+      "Ġv ý",
+      "ि स",
+      "िठ¸",
+      "ữ ng",
+      "س ÛĮ",
+      "Ġ ìĥ",
+      "Ġì ĥ",
+      "ा à¤Ĥ",
+      "ाठĤ",
+      "ï½ ¤",
+      "à¹ĩ à¸Ļ",
+      "Ġ थ",
+      "Ġठ¥",
+      "l arak",
+      "la rak",
+      "lar ak",
+      "lara k",
+      "â y",
+      "t ÄĽ",
+      "ν ο",
+      "Ġ ÙħÙĪ",
+      "ĠÙħ ÙĪ",
+      "Ġng Æ°á»Ŀi",
+      "å ¦",
+      "ÙĬ د",
+      "il ir",
+      "ili r",
+      "ا ØŃ",
+      "Ø§Ø Ń",
+      "Ġ ãĢ",
+      "Ù ĭ",
+      "Ġ ÑĢоз",
+      "ĠÑĢ оз",
+      "Ġ й",
+      "ĠÐ ¹",
+      "Ġd ụ",
+      "à¹Ģ à¸Ľ",
+      "à¹ĢภĽ",
+      "ั à¸ĩ",
+      "л е",
+      "ा य",
+      "ाठ¯",
+      "ï¿ £",
+      "ÙĪ اÙĨ",
+      "ÙĪا ÙĨ",
+      "Ġth á»ĥ",
+      "Ġthá» ĥ",
+      "ã ĥ½",
+      "ãĥ ½",
+      "ü ÅŁ",
+      "ç Ł",
+      "Ġ ο",
+      "ĠÎ ¿",
+      "Ġ Σ",
+      "ĠÎ £",
+      "ÛĮ ت",
+      "ั à¸ģ",
+      "Î ¤",
+      "Ġ à¤ıà¤ķ",
+      "Ġà¤ı à¤ķ",
+      "Ġ ÙĩÙħ",
+      "ĠÙĩ Ùħ",
+      "ìĽ Ķ",
+      "Ġ Îľ",
+      "ĠÎ ľ",
+      "Ġ à¸Ħ",
+      "ĠภĦ",
+      "¯ ¸",
+      "ا رÛĮ",
+      "ار ÛĮ",
+      "ि न",
+      "िठ¨",
+      "Ġnh ững",
+      "Ġnh Æ°",
+      "и ÑĤи",
+      "иÑĤ и",
+      "ãĥ³ ãĥ",
+      "à¹Ģ ร",
+      "à¹Ģภ£",
+      "Ġ ÐĽ",
+      "ĠÐ Ľ",
+      "ÑĢ Ñĸ",
+      "á d",
+      "ü y",
+      "i ye",
+      "iy e",
+      "Ġ Îķ",
+      "ĠÎ ķ",
+      "Ġ ส",
+      "Ġภª",
+      "Ïĥ η",
+      "Ġ ë¬",
+      "Ġë ¬",
+      "ï »",
+      "ठ£",
+      "Î Ĺ",
+      "ठ¶",
+      "Ġ ÙħØŃ",
+      "ĠÙħ ØŃ",
+      "ÙĦ ÙĬ",
+      "Ġ με",
+      "Ġμ ε",
+      "Ġp ÅĻÃŃ",
+      "ĠpÅĻ ÃŃ",
+      "Î Ŀ",
+      "à¥į ष",
+      "à¥įठ·",
+      "t ir",
+      "ti r",
+      "ر اÙĨ",
+      "را ÙĨ",
+      "ĠÄij á»ĭ",
+      "ĠÄijá» ĭ",
+      "Ġ коÑĤ",
+      "Ġк оÑĤ",
+      "Ġко ÑĤ",
+      "к ÑĢа",
+      "λ ο",
+      "Ġ ÏĦη",
+      "ĠÏĦ η",
+      "Ñī е",
+      "ÏĦ ικ",
+      "ÏĦι κ",
+      "ั à¹ī",
+      "i ết",
+      "iế t",
+      "α ν",
+      "í Ķ",
+      "к иÑħ",
+      "ки Ñħ",
+      "Ġ поÑģ",
+      "Ġп оÑģ",
+      "Ġпо Ñģ",
+      "t ır",
+      "tı r",
+      "à¥į म",
+      "à¥įठ®",
+      "ر Ùģ",
+      "ÄĽ l",
+      "ठŃ",
+      "o vé",
+      "ov é",
+      "Ġl á»",
+      "à¹Ħ à¸Ķ",
+      "ãģª ãģĦ",
+      "ภ©",
+      "i á»ĩu",
+      "iá»ĩ u",
+      "Î ¾",
+      "Ġ عÙĦÙī",
+      "Ġع ÙĦÙī",
+      "ĠعÙĦ Ùī",
+      "д Ñĥ",
+      "Ġdụ ng",
+      "а ÑĢа",
+      "аÑĢ а",
+      "ा द",
+      "ाठ¦",
+      "o ž",
+      "ÙĦ Ùĩ",
+      "ÙĦ Ùħ",
+      "н оÑĹ",
+      "но ÑĹ",
+      "Û± Û",
+      "à¸Ĥ à¸Ńà¸ĩ",
+      "Î ¡",
+      "à¥Ģ à¤Ĥ",
+      "Ġ пÑĸд",
+      "Ġп Ñĸд",
+      "Ġ फ",
+      "Ġठ«",
+      "ภĺ",
+      "ε ÏĤ",
+      "ा स",
+      "ाठ¸",
+      "à¹ĥ ห",
+      "о ва",
+      "ов а",
+      "ت ÛĮ",
+      "à¸Ń ย",
+      "ภį",
+      "Ġn Äĥm",
+      "ĠnÄĥ m",
+      "ÏĦ ι",
+      "ÙĪ ÛĮ",
+      "Ġ мÑĸ",
+      "Ġм Ñĸ",
+      "Ġ اÙħ",
+      "Ġا Ùħ",
+      "ÏĢ ÏĮ",
+      "Ġ zá",
+      "Ġz á",
+      "ठĪ",
+      "Ġ à¤ĸ",
+      "Ġठĸ",
+      "Ġ nÄĽ",
+      "Ġn ÄĽ",
+      "c ÃŃ",
+      "ÙĨ Ú¯",
+      "Ñģ и",
+      "Î ¶",
+      "n á",
+      "Ŀ i",
+      "Å ©",
+      "Ø ¦",
+      "Ġ اÙĦس",
+      "Ġا ÙĦس",
+      "ĠاÙĦ س",
+      "á»ij c",
+      "Ạ½",
+      "ا ج",
+      "Ø§Ø ¬",
+      "Ùħ ا",
+      "êµ Ń",
+      "о Ñİ",
+      "د ر",
+      "à¹Ģ à¸ģ",
+      "à¹Ģภģ",
+      "ภł",
+      "Ã ¡ng",
+      "á ng",
+      "án g",
+      "íķ ©",
+      "Ġ ÏĦηÏĤ",
+      "ĠÏĦ ηÏĤ",
+      "ĠÏĦη ÏĤ",
+      "Ġ Ñĸн",
+      "ĠÑĸ н",
+      "о ÑĹ",
+      "à¥ĩ श",
+      "à¥ĩठ¶",
+      "ภĭ",
+      "à¥ĭ à¤Ĺ",
+      "л Ñĸ",
+      "Ġp ÅĻed",
+      "ĠpÅĻ ed",
+      "ĠpÅĻe d",
+      "Äį nÃŃ",
+      "Ġ ка",
+      "Ġк а",
+      "Ġ Τ",
+      "ĠÎ ¤",
+      "á»Ļ i",
+      "v ÃŃ",
+      "ÑĢ Ñı",
+      "ा à¤ľ",
+      "ाठľ",
+      "а Ñħ",
+      "ि र",
+      "िठ°",
+      "า ส",
+      "าภª",
+      "d ır",
+      "dı r",
+      "Ø ¢",
+      "Î ļ",
+      "Ġ ÎŃ",
+      "ĠÎ Ń",
+      "Ġt ại",
+      "iá»ĩ c",
+      "i ến",
+      "iế n",
+      "Ġ غ",
+      "ĠØ º",
+      "ا خ",
+      "Ø§Ø ®",
+      "Ġ اÙĦØŃ",
+      "Ġا ÙĦØŃ",
+      "ĠاÙĦ ØŃ",
+      "Ġ бÑĥ",
+      "Ġб Ñĥ",
+      "Ġv á»ģ",
+      "Ġvá» ģ",
+      "м Ñĸ",
+      "Ùħ ÙĦ",
+      "m Ä±ÅŁ",
+      "à¸Ľ ระ",
+      "à¸Ľà¸£ ะ",
+      "ο Ïį",
+      "ε ί",
+      "Ġर ह",
+      "н им",
+      "ни м",
+      "ع د",
+      "Ġ باÙĦ",
+      "Ġب اÙĦ",
+      "Ġبا ÙĦ",
+      "¤ ij",
+      "ç ł",
+      "Ġo lm",
+      "Ġol m",
+      "Ïİ Î½",
+      "Ġh á»įc",
+      "Ġhá»į c",
+      "ا ست",
+      "Ø§Ø ³Øª",
+      "اس ت",
+      "า ว",
+      "าภ§",
+      "ÙĪ ب",
+      "Ñĸ Ñı",
+      "Ġ ÙĩاÛĮ",
+      "ĠÙĩ اÛĮ",
+      "ĠÙĩا ÛĮ",
+      "ë§ Ī",
+      "ॠĮ",
+      "Ġ ÄĮ",
+      "ĠÄ Į",
+      "ठı",
+      "ا دÙĩ",
+      "اد Ùĩ",
+      "Ġ اÙĪ",
+      "Ġا ÙĪ",
+      "н Ñĭм",
+      "нÑĭ м",
+      "Ạ±",
+      "Ùħ ÙĨ",
+      "iá»ĩ t",
+      "l aÅŁ",
+      "la ÅŁ",
+      "Ñĸ з",
+      "ÙĪ س",
+      "Ġl Ãłm",
+      "ĠlÃł m",
+      "ĠÄij ến",
+      "ĠÄijế n",
+      "प न",
+      "Ġ ÛĮÚ©",
+      "ĠÛĮ Ú©",
+      "Ġ ÙĦÙĦ",
+      "ĠÙĦ ÙĦ",
+      "Ġ mÄĽ",
+      "Ġm ÄĽ",
+      "Ġ براÛĮ",
+      "Ġبر اÛĮ",
+      "ा ह",
+      "ाठ¹",
+      "Ġ Ùħر",
+      "ĠÙħ ر",
+      "e ç",
+      "à¸Ń ร",
+      "ε Ïģ",
+      "ั à¸Ķ",
+      "к он",
+      "ко н",
+      "n ou",
+      "no u",
+      "Ġ год",
+      "Ġг од",
+      "ู à¹ī",
+      "à¹Ģ ล",
+      "à¹Ģภ¥",
+      "Ú ĺ",
+      "ĠÄij á»ĭnh",
+      "ĠÄijá»ĭ nh",
+      "ĠÄij ó",
+      "а нов",
+      "ан ов",
+      "ано в",
+      "Ġ Ùģر",
+      "ĠÙģ ر",
+      "ا رد",
+      "ار د",
+      "Ñĸ ÑĹ",
+      "à¸Ħ ร",
+      "à¥į थ",
+      "à¥įठ¥",
+      "c ak",
+      "ca k",
+      "ÑĨ ÑĸÑĹ",
+      "ÑĨÑĸ ÑĹ",
+      "Ġ ãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢ",
+      "ĠãĢĢĠ ãĢĢĠãĢĢĠãĢĢ",
+      "Ùĩ ر",
+      "ॠī",
+      "Ġg iá»",
+      "Ġgi á»",
+      "í Ĩ",
+      "âĢĮ ÙĩاÛĮ",
+      "âĢĮÙĩا ÛĮ",
+      "à¥ģ र",
+      "à¥ģठ°",
+      "Ġ à¸ģ",
+      "Ġภģ",
+      "Å Ī",
+      "æ ¨",
+      "ÎŁ Î",
+      "า à¸Ħ",
+      "าภĦ",
+      "кÑĢа ÑĹ",
+      "ả o",
+      "o ÄŁ",
+      "Ġ सम",
+      "Ġस म",
+      "Ġv iá»ĩc",
+      "Ġs ẽ",
+      "Ġ ná",
+      "Ġn á",
+      "ÙĬ Ùħ",
+      "£ p",
+      "ö y",
+      "ÙĪ ز",
+      "Ġ κα",
+      "Ġκ α",
+      "Ùħ د",
+      "n ÃŃm",
+      "nÃŃ m",
+      "o vá",
+      "ov á",
+      "ा व",
+      "ाठµ",
+      "ा ।",
+      "à¥į स",
+      "à¥įठ¸",
+      "ç ·",
+      "ặ c",
+      "Ġ à¸ŀ",
+      "Ġภŀ",
+      "ï½ Ģ",
+      "ô i",
+      "Ġ ợ",
+      "Ġá» Ł",
+      "ο ÏĤ",
+      "Ġtr ên",
+      "м Ñĥ",
+      "ÑģÑĮ к",
+      "ภŁ",
+      "o vat",
+      "ov at",
+      "ova t",
+      "Ġm á»",
+      "í ı",
+      "Ġ во",
+      "Ġв о",
+      "ε ν",
+      "à¥Ĥ र",
+      "Ú¯ اÙĩ",
+      "ĠÄij á»Ļng",
+      "ĠÄijá»Ļ ng",
+      "Ú© ÙĨ",
+      "Ñī и",
+      "Ġ пÑĢа",
+      "Ġп ÑĢа",
+      "ĠпÑĢ а",
+      "ü rk",
+      "ür k",
+      "ÙĪ ع",
+      "ấ p",
+      "n ý",
+      "Ġ quan",
+      "Ġqu an",
+      "Ġq uan",
+      "Ġqua n",
+      "Ñĸ Ñĩ",
+      "Ġ να",
+      "Ġν α",
+      "Ġन ह",
+      "Ġ Ú©ÙĨ",
+      "ĠÚ© ÙĨ",
+      "c ı",
+      "çĿ Ģ",
+      "б о",
+      "Ġ اس",
+      "Ġا س",
+      "ĠØ§Ø ³",
+      "è »",
+      "ا ÙĨÛĮ",
+      "اÙĨ ÛĮ",
+      "à¸ķ ร",
+      "ÏĦ ά",
+      "Ġ Ø£ÙĨ",
+      "ĠØ£ ÙĨ",
+      "éĤ £",
+      "Ġ ม",
+      "Ġภ¡",
+      "к ÑĤ",
+      "i ê",
+      "Ġhá» £p",
+      "ت Ùħ",
+      "Ġ بÙĨ",
+      "Ġب ÙĨ",
+      "h od",
+      "ho d",
+      "ι Ïĥ",
+      "ห à¸Ļ",
+      "Ġ ÑĹ",
+      "ĠÑ Ĺ",
+      "л ив",
+      "ли в",
+      "Ġ کرد",
+      "ĠÚ© رد",
+      "Ġکر د",
+      "Ġ ÙħØ´",
+      "ĠÙħ Ø´",
+      "ا ط",
+      "Ø§Ø ·",
+      "ب ÙĬ",
+      "Ġ ร",
+      "Ġภ£",
+      "د Ùħ",
+      "ÙĦ اÙħ",
+      "ÙĦا Ùħ",
+      "à¹Ī ว",
+      "Ġ ÙĨÙħ",
+      "ĠÙĨ Ùħ",
+      "Ġ æĹ",
+      "Ġæ Ĺ",
+      "é ħ",
+      "н оÑģÑĤ",
+      "но ÑģÑĤ",
+      "ноÑģ ÑĤ",
+      "i á»ĥm",
+      "iá»ĥ m",
+      "êµ IJ",
+      "a yı",
+      "ay ı",
+      "Ġ بÙĪد",
+      "Ġب ÙĪد",
+      "ĠبÙĪ د",
+      "گ ر",
+      "Ġh iá»ĩn",
+      "Ġhi á»ĩn",
+      "ç ³",
+      "ÑģÑĤ вен",
+      "ÑģÑĤв ен",
+      "ÑģÑĤве н",
+      "Ġà¤ķर न",
+      "Ġ ÏĦην",
+      "ĠÏĦ ην",
+      "ĠÏĦη ν",
+      "Ġ à¸Ń",
+      "ĠภŃ",
+      "Ġ Ùħت",
+      "ĠÙħ ت",
+      "ģ n",
+      "ج Ùħ",
+      "λ λ",
+      "Ġ ÑĢе",
+      "ĠÑĢ е",
+      "ิ à¸Ķ",
+      "Ġ اÙĦÙĤ",
+      "Ġا ÙĦÙĤ",
+      "ĠاÙĦ ÙĤ",
+      "α Ïģ",
+      "Ġ यह",
+      "Ġय ह",
+      "n ÃŃch",
+      "nÃŃ ch",
+      "ÑĶ ÑĤÑĮÑģÑı",
+      "Ġ à¸Ĺ",
+      "ĠภĹ",
+      "ÛĮ Ø´",
+      "ÅĻ e",
+      "Ġn ebo",
+      "Ġne bo",
+      "Ġneb o",
+      "Ġ Ñĩа",
+      "ĠÑĩ а",
+      "l ou",
+      "lo u",
+      "ÑģÑĤ во",
+      "ÑģÑĤв о",
+      "Ġ Ч",
+      "ĠÐ §",
+      "à¸Ħ ว",
+      "Ùĩ Ùħ",
+      "à¹Ģ à¸Ķ",
+      "à¹ĢภĶ",
+      "Ġ à¹ģ",
+      "Ġ à¹Ĥ",
+      "Û ³",
+      "Å© ng",
+      "Ġ nej",
+      "Ġn ej",
+      "Ġne j",
+      "ÛĮ Ú©",
+      "Ġs á»Ń",
+      "Ùģ ر",
+      "Î ł",
+      "Ġп ок",
+      "Ġпо к",
+      "ĠاÙĦ ÙĨ",
+      "Ġv Å¡",
+      "á º«",
+      "Ạ«",
+      "Ġnh Ãł",
+      "ãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "ãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "ή ÏĤ",
+      "ο Ïģ",
+      "Ġ Ïĩ",
+      "ĠÏ ĩ",
+      "à¹Ģ à¸Ĺ",
+      "à¹ĢภĹ",
+      "Ñĥ лÑĮ",
+      "Ñĥл ÑĮ",
+      "ãħ ĩ",
+      "Ġ yıl",
+      "Ġy ıl",
+      "Ġyı l",
+      "ÑĢ од",
+      "ÑĢо д",
+      "ί ν",
+      "ìĹ Īëĭ¤",
+      "ìĹĪ ëĭ¤",
+      "ا ص",
+      "Ø§Ø µ",
+      "ĠÄij ầu",
+      "à¥ĩ à¤ķ",
+      "à¥ĩठķ",
+      "ÑĢ ом",
+      "ÑĢо м",
+      "ãģĵ ãģ¨",
+      "Ġ ار",
+      "Ġا ر",
+      "ĠØ§Ø ±",
+      "å¥ ¹",
+      "Ġ تØŃ",
+      "Ġت ØŃ",
+      "Å¡ tÄĽ",
+      "Å¡t ÄĽ",
+      "à¥į ल",
+      "à¥įठ²",
+      "à¥į à¤ķ",
+      "à¥įठķ",
+      "Ġ کار",
+      "ĠÚ© ار",
+      "u jÃŃ",
+      "uj ÃŃ",
+      "Ġ à¤īन",
+      "Ġà¤ī न",
+      "Ġ αÏĢÏĮ",
+      "Ġα ÏĢÏĮ",
+      "ĠαÏĢ ÏĮ",
+      "Ġm Ãł",
+      "ž ÃŃ",
+      "Ġ à¸Ī",
+      "ĠภĪ",
+      "a lı",
+      "al ı",
+      "ठ«",
+      "Ñĩ еÑģ",
+      "Ñĩе Ñģ",
+      "Ġ عÙĨ",
+      "Ġع ÙĨ",
+      "æķ Ļ",
+      "ï¾ Ĩ",
+      "ि à¤Ĥ",
+      "िठĤ",
+      "Ġs á»±",
+      "в оÑĢ",
+      "во ÑĢ",
+      "Ġth á»±c",
+      "ë į°",
+      "ëį °",
+      "ãģ¦ ãģĦãĤĭ",
+      "ãģ¦ãģĦ ãĤĭ",
+      "à¹Ī à¸ĩ",
+      "ت ب",
+      "Ġnh iá»ģu",
+      "ĥ n",
+      "ĠÄij á»ĵ",
+      "ĠÄijá» ĵ",
+      "Ġ ห",
+      "Ġภ«",
+      "Û µ",
+      "m ÄĽ",
+      "ạ t",
+      "Ġch ÃŃnh",
+      "ĠchÃŃ nh",
+      "ĠchÃŃn h",
+      "μ ÎŃ",
+      "an ı",
+      "Ġb á»ĭ",
+      "ằ ng",
+      "ÅĻ ed",
+      "ÅĻe d",
+      "é Ł",
+      "á nh",
+      "án h",
+      "ÙĢ ÙĢ",
+      "Ġ Ùħس",
+      "ĠÙħ س",
+      "á»ĭ ch",
+      "Ä ĥn",
+      "Äĥ n",
+      "o vánÃŃ",
+      "ov ánÃŃ",
+      "ová nÃŃ",
+      "ován ÃŃ",
+      "à¹Ī าà¸ĩ",
+      "à¹Īา à¸ĩ",
+      "Ġ à¸Ľ",
+      "ĠภĽ",
+      "Ġn Æ°á»Ľc",
+      "Ð ±Ð¾ÑĤ",
+      "б оÑĤ",
+      "бо ÑĤ",
+      "ı yor",
+      "ıy or",
+      "ĠØ® ÙĪد",
+      "ĠØ®ÙĪ د",
+      "Û ¹",
+      "Ġ Ùħد",
+      "ĠÙħ د",
+      "Ġ üz",
+      "Ġü z",
+      "ì ½",
+      "ÙĪ ÙĤ",
+      "ë¥ ´",
+      "л ек",
+      "ле к",
+      "Ġc ả",
+      "ол ог",
+      "оло г",
+      "à¹ī à¸Ńà¸ĩ",
+      "à¹īà¸Ń à¸ĩ",
+      "m iÅŁ",
+      "mi ÅŁ",
+      "à¹ī ว",
+      "Ä ©",
+      "Î ľ",
+      "à¸Ń à¸ģ",
+      "＿ ＿",
+      "ठĸ",
+      "Ġ Я",
+      "ĠÐ ¯",
+      "ë ¬´",
+      "ë¬ ´",
+      "اÛĮ ÛĮ",
+      "s ké",
+      "sk é",
+      "uy ên",
+      "e ÅŁ",
+      "á i",
+      "ú ng",
+      "ún g",
+      "Ãł o",
+      "Ñĸ Ñģ",
+      "ç ¶",
+      "Ġ à¤Ĩप",
+      "Ġà¤Ĩ प",
+      "ï º",
+      "Î Ľ",
+      "Ġ ê³µ",
+      "Ġê³ µ",
+      "Ġ ÐĨ",
+      "ĠÐ Ĩ",
+      "Ġà¤ħ पन",
+      "Ġà¤ħप न",
+      "ứ ng",
+      "ÏĮ ÏĤ",
+      "Ġngh iá»ĩ",
+      "Ġnghi á»ĩ",
+      "Ġ اÙĦب",
+      "Ġا ÙĦب",
+      "ĠاÙĦ ب",
+      "à¥ĭ न",
+      "Ġ à¤Ł",
+      "ĠठŁ",
+      "Ġ ìľł",
+      "Ġìľ ł",
+      "Ġc Å©ng",
+      "ĠcÅ© ng",
+      "Ġà¤ī स",
+      "Ġ ड",
+      "Ġठ¡",
+      "ĠØ´ دÙĩ",
+      "Ġشد Ùĩ",
+      "ี à¹ī",
+      "Û ´",
+      "ặ t",
+      "æĸ ¯",
+      "Ġ ëį",
+      "Ġë į",
+      "Ġп л",
+      "б и",
+      "ê³ Ħ",
+      "ο ν",
+      "Ġç ık",
+      "Ġçı k",
+      "Ġbu lun",
+      "Ġbul un",
+      "س Ùħ",
+      "a ç",
+      "ا ÙĨÙĩ",
+      "اÙĨ Ùĩ",
+      "ÛĮ ز",
+      "l eÅŁ",
+      "le ÅŁ",
+      "ắ c",
+      "ا ک",
+      "Ġस à¤ķ",
+      "Ġ оÑĢг",
+      "Ġо ÑĢг",
+      "ĠоÑĢ г",
+      "Ġ à¸Ļ",
+      "ĠภĻ",
+      "ा थ",
+      "ाठ¥",
+      "Ġ ÙħÙĤ",
+      "ĠÙħ ÙĤ",
+      "ĠÎĶ E",
+      "Ñİ ÑĤÑĮ",
+      "ÑİÑĤ ÑĮ",
+      "á»Ļ c",
+      "Ġ η",
+      "ĠÎ ·",
+      "s ob",
+      "so b",
+      "Ġth eo",
+      "Ġthe o",
+      "å ŀ",
+      "Ġ اÙĦØ´",
+      "ĠاÙĦ Ø´",
+      "à¹Ģ à¸ŀ",
+      "à¹Ģภŀ",
+      "ÎŃ ÏĤ",
+      "à¹Ģ à¸Ĥ",
+      "à¹ĢภĤ",
+      "å Ļ",
+      "ि श",
+      "िठ¶",
+      "Ġ باز",
+      "Ġب از",
+      "Ġبا ز",
+      "ÑĢ об",
+      "ÑĢо б",
+      "Ġγ ια",
+      "μ ε",
+      "Ġ باش",
+      "Ġب اش",
+      "Ġبا Ø´",
+      "ा à¤ĩ",
+      "ाठĩ",
+      "Ġqu y",
+      "Ġq uy",
+      "λ ε",
+      "ا Ùĥ",
+      "ا٠ĥ",
+      "Ġ ÑĢок",
+      "ĠÑĢ ок",
+      "Ġ Türk",
+      "ĠT ürk",
+      "ĠTür k",
+      "Ġ Ð¥",
+      "ĠÐ ¥",
+      "ÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁ ÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁ",
+      "æ ©",
+      "Ġph ải",
+      "à¸Ħ วาม",
+      "à¸Ħว าม",
+      ": ::",
+      ":: :",
+      "l ÃŃ",
+      "Ġj sou",
+      "Ġjs ou",
+      "ÛĮ ÙĦ",
+      "ál nÃŃ",
+      "áln ÃŃ",
+      "Ķ Ķ",
+      "í ĸī",
+      "íĸ ī",
+      "æĥ ³",
+      "l á",
+      "Ġ ÏĥÏħ",
+      "ĠÏĥ Ïħ",
+      "Ñĭ ва",
+      "Ñĭв а",
+      "Ġnh ất",
+      "à¸Ń ม",
+      "Û ¸",
+      "e cek",
+      "ec ek",
+      "ece k",
+      "Ñĸ ÑĢ",
+      "ÙĪ Ø´",
+      "λ α",
+      "Ġ ÎĴ",
+      "ĠÎ Ĵ",
+      "о ÑĢа",
+      "оÑĢ а",
+      "Ùģ ت",
+      "e dir",
+      "ed ir",
+      "edi r",
+      "Ñĥ Ñħ",
+      "ä¸ ĸ",
+      "ĠУ кÑĢаÑĹ",
+      "ĠУкÑĢа ÑĹ",
+      "Ġ íĶ",
+      "Ġí Ķ",
+      "ά ν",
+      "Ġ شر",
+      "ĠØ´ ر",
+      "ĠاÙĦ ج",
+      "е ÑĢед",
+      "еÑĢ ед",
+      "еÑĢе д",
+      "ìĺ ģ",
+      "Ġh Ãłnh",
+      "ï¿£ ï¿£",
+      "м е",
+      "ÑİÑĤ ÑģÑı",
+      "ĠØ¥ ÙĦÙī",
+      "ĠØ¥ÙĦ Ùī",
+      "ìĹ ħ",
+      "Ġ تر",
+      "Ġت ر",
+      "к ом",
+      "ко м",
+      "Ġ شد",
+      "ĠØ´ د",
+      "Ġ اÙĦÙĥ",
+      "Ġا ÙĦÙĥ",
+      "ĠاÙĦ Ùĥ",
+      "Ġ ÏĥÏĦο",
+      "ĠÏĥ ÏĦο",
+      "à¥į द",
+      "à¥įठ¦",
+      "ëł ¤",
+      "Ñĥ ваннÑı",
+      "Ñĥв аннÑı",
+      "Ġth ì",
+      "ê ´Ģ",
+      "ê´ Ģ",
+      "κ ε",
+      "س ب",
+      "íĥ Ģ",
+      "Ġ ï¼ı",
+      "Ġï¼ ı",
+      "Ġ à¹ģละ",
+      "Ġà¹ģ ละ",
+      "Ġà¹ģล ะ",
+      "Ġ ÏĮ",
+      "ĠÏ Į",
+      "н иÑĨ",
+      "ни ÑĨ",
+      "Ġ ÐĿа",
+      "ĠÐĿ а",
+      "Ñı в",
+      "l ü",
+      "ι ο",
+      "ÙĨ دÙĩ",
+      "ÙĨد Ùĩ",
+      "ÙĦ Ùĥ",
+      "Ġng Ãły",
+      "Ġnh ân",
+      "Ġ ^{",
+      "Ġ^ {",
+      "ॠĥ",
+      "Ġg erek",
+      "Ġge rek",
+      "Ġger ek",
+      "Ġgere k",
+      "ا رÙĩ",
+      "ار Ùĩ",
+      "Ġc Æ¡",
+      "Ġ à¸ķ",
+      "Ġภķ",
+      "æ Ĥ",
+      "çĶ °",
+      "à¥Īà¤Ĥ ।",
+      "ั ว",
+      "v ÄĽ",
+      "ö z",
+      "и ли",
+      "ил и",
+      "Ġph áp",
+      "Ġphá p",
+      "ê¸ Ī",
+      "Ġ ÎŁ",
+      "ĠÎ Ł",
+      "Ġp ÅĻi",
+      "ĠpÅĻ i",
+      "Ġ ìĸ´",
+      "Ġìĸ ´",
+      "Ġд ол",
+      "Ġдо л",
+      "ÙĪ رد",
+      "ÙĪر د",
+      "à¹Ģ ม",
+      "à¹Ģภ¡",
+      "Ïĥ ε",
+      "า à¸Ĺ",
+      "าภĹ",
+      "o Ãłi",
+      "ร ม",
+      "Û ¶",
+      "Ġ à¸ļ",
+      "Ġภļ",
+      "i yet",
+      "iy et",
+      "iye t",
+      "ÏĦ αι",
+      "ÏĦα ι",
+      "ìĦ ł",
+      "Ġ εÏĢ",
+      "Ġε ÏĢ",
+      "ि व",
+      "िठµ",
+      "ê¹ Į",
+      "г а",
+      "ĠÑģ лÑĥ",
+      "ĠÑģл Ñĥ",
+      "Ġh ình",
+      "Ġ داÙĨ",
+      "Ġد اÙĨ",
+      "Ġà¤Ĺ य",
+      "ÙĬ ا",
+      "è ij",
+      "à¤Ĥ त",
+      "Ġ ساÙĦ",
+      "Ġس اÙĦ",
+      "ëł Ī",
+      "l erin",
+      "le rin",
+      "ler in",
+      "leri n",
+      "à¥ĩ त",
+      "à¥ĩठ¤",
+      ".: .:.:.:",
+      ".:.: .:.:",
+      ".:. :.:.:",
+      ".:.:.: .:",
+      ".:.:. :.:",
+      ".:.:.:. :",
+      "Ġ ëħ",
+      "Ġë ħ",
+      "Ġ اÙĦØ¥",
+      "ĠاÙĦ Ø¥",
+      "ả ng",
+      "ản g",
+      "è Ħ",
+      "ο λ",
+      "п ов",
+      "по в",
+      "Ġ θ",
+      "ĠÎ ¸",
+      "Û ·",
+      "Ġn ó",
+      "Ġd Ã¼ÅŁ",
+      "Ġdü ÅŁ",
+      "Ġt iế",
+      "Ġti ế",
+      "ÙĪ ج",
+      "Ġj sem",
+      "Ġjs em",
+      "Ạ¡ng",
+      "ạ ng",
+      "ạn g",
+      "ãģĤ ãĤĭ",
+      "à¸Ń à¸ļ",
+      "ÙĪ ÙĬ",
+      "à¤ķ र",
+      "Ġ де",
+      "Ġд е",
+      "¯ ¼",
+      "Ġ но",
+      "Ġн о",
+      "ÑĨ Ñĸй",
+      "ÑĨÑĸ й",
+      "Ïĥ ÏĦ",
+      "к ие",
+      "ки е",
+      "Ïĥ ει",
+      "Ïĥε ι",
+      "ìķ Ī",
+      "Ġh Æ¡n",
+      "Ġà¤ķ ह",
+      "ا ض",
+      "Ø§Ø ¶",
+      "ì ¸",
+      "ãĥ Ł",
+      "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "ãĤĪ ãģĨ",
+      "ा ,",
+      "е ÑĢи",
+      "еÑĢ и",
+      "ë© °",
+      "í ĶĦ",
+      "íĶ Ħ",
+      "Ġп оÑģÑĤ",
+      "Ġпо ÑģÑĤ",
+      "ĠпоÑģ ÑĤ",
+      "خ ر",
+      "à¥ĭ त",
+      "â u",
+      "к ой",
+      "ко й",
+      "d aki",
+      "da ki",
+      "í ħ",
+      ": :::::::::::::::",
+      ":: ::::::::::::::",
+      ":::: ::::::::::::",
+      ":::::: ::::::::::",
+      ":::::::: ::::::::",
+      "::: :::::::::::::",
+      "::::: :::::::::::",
+      "::::::: :::::::::",
+      "::::::::: :::::::",
+      ":::::::::: ::::::",
+      "::::::::::: :::::",
+      ":::::::::::: ::::",
+      "::::::::::::: :::",
+      ":::::::::::::: ::",
+      "::::::::::::::: :",
+      "Ġ öz",
+      "Ġö z",
+      "ÑĢ аж",
+      "ÑĢаР¶",
+      "ÑĢа ж",
+      "nÃŃ ho",
+      "ห ล",
+      "Ġ ÏĥÏĦη",
+      "ĠÏĥ ÏĦη",
+      "ĠÄij á»ģ",
+      "ĠÄijá» ģ",
+      "Ġk á»",
+      "i á»ĥn",
+      "iá» ĥn",
+      "iá»ĥ n",
+      "ÅĻ i",
+      "Ġkter é",
+      "¢ ħ",
+      "ü ç",
+      "ÙĬ Ùģ",
+      "Ġ lý",
+      "Ġl ý",
+      "Ġth á»Ŀi",
+      "Ġthá» Ŀi",
+      "Ġthá»Ŀ i",
+      "Ġ ìĨĮ",
+      "ĠìĨ Į",
+      "н ÑĮ",
+      "Ð Ĩ",
+      "ÑĤ ÑĢ",
+      "à¸ĩ าà¸Ļ",
+      "к оÑĹ",
+      "ко ÑĹ",
+      "μ ο",
+      "Ġs ür",
+      "Ġsü r",
+      "uy á»ģn",
+      "uyá» ģn",
+      "Ġ Ùħا",
+      "ĠÙħ ا",
+      "à¤Ĥ à¤Ĺ",
+      "ĠÄij á»ĵng",
+      "ĠÄijá»ĵ ng",
+      "ò n",
+      "à¥ģ ल",
+      "à¥ģठ²",
+      "à¥į प",
+      "à¥įठª",
+      "λ η",
+      "Ùħ ر",
+      "п ÑĢи",
+      "пÑĢ и",
+      "i yle",
+      "iy le",
+      "ा प",
+      "ाठª",
+      "Ġà¤ħ न",
+      "Ġ ÑĶ",
+      "ĠÑ Ķ",
+      "Ġy ön",
+      "Ġyö n",
+      "ÙĦ Ùģ",
+      "a dır",
+      "ad ır",
+      "adı r",
+      "á ½",
+      "Ġ ê³ł",
+      "Ġê³ ł",
+      "خ ص",
+      "im iz",
+      "imi z",
+      "åľ ĭ",
+      "Ġ над",
+      "Ġн ад",
+      "Ġна д",
+      "Ġ ÅĻ",
+      "ĠÅ Ļ",
+      "н оÑģÑĤÑĸ",
+      "но ÑģÑĤÑĸ",
+      "ноÑģÑĤ Ñĸ",
+      "ноÑģ ÑĤÑĸ",
+      "Ġ اÙģ",
+      "Ġا Ùģ",
+      "а нÑĸ",
+      "ан Ñĸ",
+      "à¥ĩ à¤Ł",
+      "à¥ĩठŁ",
+      "Ġ ë§IJ",
+      "Ġë§ IJ",
+      "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "Ġ ìĬ¤",
+      "ĠìĬ ¤",
+      "ิ à¸ķ",
+      "å Ħ",
+      "ÛĮ Ùĩ",
+      "о ÑĪ",
+      "ž it",
+      "ži t",
+      "ìĭ ¤",
+      "à¥Ģ न",
+      "Ġ î",
+      "æ¥ Ń",
+      "à¥ĩ न",
+      "à¥ĩठ¨",
+      "Ġ Ø°",
+      "ĠØ °",
+      "Ġl oại",
+      "Ġlo ại",
+      "à¹Ħ à¸Ľ",
+      "Ñĸ к",
+      "Ġ кÑĢа",
+      "Ġк ÑĢа",
+      "à¥ĭ र",
+      "ุ à¸Ķ",
+      "ĠاÙĦ ر",
+      "ĠÑģ об",
+      "ĠÑģо б",
+      "า à¸Ĭ",
+      "าภĬ",
+      "Ġसà¤ķ त",
+      "Ġ ÎĿ",
+      "ĠÎ Ŀ",
+      "ا ÙħÙĩ",
+      "اÙħ Ùĩ",
+      "à¹ī าà¸Ļ",
+      "à¹īา à¸Ļ",
+      "Ġtr ình",
+      "Ġtrì nh",
+      "Ġ اÙĦÙģ",
+      "Ġا ÙĦÙģ",
+      "ĠاÙĦ Ùģ",
+      "Ġ اÙĦد",
+      "ĠاÙĦ د",
+      "u nun",
+      "un un",
+      "unu n",
+      "о ÑĤов",
+      "оÑĤ ов",
+      "оÑĤо в",
+      "Æ° ợ",
+      "Æ°á» Ł",
+      "ĠÑģ во",
+      "ĠÑģв о",
+      "ί αÏĤ",
+      "ία ÏĤ",
+      "ấ n",
+      "ог да",
+      "à¸Ĺ ย",
+      "Ġb yl",
+      "Ġby l",
+      "ØŃ Ø¯",
+      "à¸ģ ล",
+      "ب Ùĩ",
+      "Ġ vÄĽ",
+      "Ġv ÄĽ",
+      "è¢ «",
+      "Ġ Ø¢Ùħ",
+      "ĠØ¢ Ùħ",
+      "ĠÄij iá»ģu",
+      "å ¨",
+      "Ġk dy",
+      "Ġkd y",
+      "Ġ بÙĪ",
+      "Ġب ÙĪ",
+      "ẫ n",
+      "ìľ ł",
+      "ा à¤ķ",
+      "ाठķ",
+      "k ů",
+      "Ġtr Æ°á»Ŀng",
+      "ic ké",
+      "ick é",
+      "н иÑı",
+      "ни Ñı",
+      "Ġ ÏĢοÏħ",
+      "ĠÏĢ οÏħ",
+      "ĠÏĢο Ïħ",
+      "Æ°á»Ł ng",
+      "н омÑĥ",
+      "но мÑĥ",
+      "ном Ñĥ",
+      "à¹Ī à¸Ļ",
+      "ู à¹Ī",
+      "Ġk ết",
+      "Ġkế t",
+      "Ġ ï¼¼",
+      "Ġï¼ ¼",
+      "Ġ ìĭł",
+      "Ġìĭ ł",
+      "i ç",
+      "Ġn Äĥng",
+      "ĠnÄĥ ng",
+      "Äį ÃŃ",
+      "ÑĤ Ñı",
+      "ÑĢ еб",
+      "ÑĢе б",
+      "Ùĭ ا",
+      "Ú¯ ÛĮ",
+      "ãĥ İ",
+      "Ġkar ÅŁ",
+      "в Ñĸ",
+      "Ġph ần",
+      "à¸Ī ะ",
+      "ắ t",
+      "ر ة",
+      "ิ à¸ĩ",
+      "ิ à¹Ī",
+      "ा à¤Ī",
+      "ाठĪ",
+      "า à¸ŀ",
+      "าภŀ",
+      "ÙĨ ÛĮ",
+      "ìĹ °",
+      "b ÄĽ",
+      "Ġ اÙĦص",
+      "ĠاÙĦ ص",
+      "í Ĺ",
+      "Ġ سر",
+      "Ġس ر",
+      "l ara",
+      "la ra",
+      "lar a",
+      "ëĭ ¨",
+      "Ġ ÙĤر",
+      "ĠÙĤ ر",
+      "è İ",
+      "ب د",
+      "Ġй ого",
+      "à¥į ह",
+      "à¥įठ¹",
+      "Ġc ách",
+      "Ġcá ch",
+      "Ġcác h",
+      "íķĺ ê³ł",
+      "Ġ ÏĢÏģο",
+      "ĠÏĢ Ïģο",
+      "Ġ تع",
+      "Ġت ع",
+      "Ĵ Ī",
+      "Ġ вод",
+      "Ġв од",
+      "Ġво д",
+      "ç¥ ŀ",
+      "к им",
+      "ки м",
+      "Ġd á»±",
+      "à¹Ģ ห",
+      "à¹Ģภ«",
+      "а на",
+      "ан а",
+      "Ġ ï½",
+      "Ġï ½",
+      "Ġb aÄŁ",
+      "Ġba ÄŁ",
+      "Ġप ह",
+      "Ġ cao",
+      "Ġc ao",
+      "Ġca o",
+      "Ïģ ÏĮ",
+      "ÙĨ ج",
+      "ा à¤ı",
+      "ाठı",
+      "Ġ å¹´",
+      "Ġå¹ ´",
+      "Ġngh iá»ĩp",
+      "Ġnghiá»ĩ p",
+      "Û² Û°",
+      "к аÑı",
+      "ка Ñı",
+      "Ïģ ί",
+      "Ġ бол",
+      "Ġб ол",
+      "Ġбо л",
+      "Ġgi á",
+      "Ġ зд",
+      "Ġз д",
+      "à¥ĩ ल",
+      "à¥ĩठ²",
+      "Ġc ấp",
+      "à¹Ģ ส",
+      "à¹Ģภª",
+      "Ïģ γ",
+      "Ġ ìĤ",
+      "Ġì Ĥ",
+      "d ÄĽ",
+      "à¥ģ न",
+      "à¥ģठ¨",
+      "ì Ī",
+      "ı lan",
+      "ıl an",
+      "л аÑģ",
+      "ла Ñģ",
+      "Ġ ว",
+      "Ġภ§",
+      "Ġ Ïĥε",
+      "ĠÏĥ ε",
+      "Ġ Ø«",
+      "ĠØ «",
+      "Ġ Ц",
+      "ĠÐ ¦",
+      "çĤ º",
+      "Ġb üy",
+      "Ġbü y",
+      "е ÑĨ",
+      "å¤ ª",
+      "Ġब न",
+      "о гÑĢа",
+      "ог ÑĢа",
+      "Ġп ÑĢоÑĤ",
+      "ĠпÑĢ оÑĤ",
+      "ĠпÑĢо ÑĤ",
+      "Ġl ượng",
+      "Ġd ön",
+      "Ġdö n",
+      "ร à¸ĩ",
+      "а ло",
+      "ал о",
+      "Ġ جÙħ",
+      "Ġج Ùħ",
+      "à¥Ī ,",
+      "Ġ 미",
+      "Ġë ¯¸",
+      "Ġ ê¹",
+      "Ġê ¹",
+      "ÙĪ ت",
+      "à¥Ģ य",
+      "à¸Ī าà¸ģ",
+      "Ġch ất",
+      "Î ©",
+      "Ġkh ác",
+      "Ġkhá c",
+      "Ġth áng",
+      "j Å¡ÃŃ",
+      "ĠÂłĠÂł ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł",
+      "ĠÂłĠÂłĠÂłĠÂł ĠÂłĠÂłĠÂłĠÂł",
+      "ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł ĠÂłĠÂł",
+      "á»ij t",
+      "ห ร",
+      "Ñĸ л",
+      "åħ ī",
+      "å Ĥ",
+      "ÙĦ Ø©",
+      "Ġ ê±°",
+      "Ġê± °",
+      "о воÑĢ",
+      "ов оÑĢ",
+      "ово ÑĢ",
+      "iá»ĥ u",
+      "Ġ меÑĤ",
+      "Ġм еÑĤ",
+      "а ÑĶ",
+      "Ġ ÑĩаÑģ",
+      "ĠÑĩ аÑģ",
+      "ĠÑĩа Ñģ",
+      "Ïģ ε",
+      "ì¹ ´",
+      "âĢĮ Ø´",
+      "ë¬ ¼",
+      "ú c",
+      "âĢĮ Ùĩا",
+      "i á»ģn",
+      "iá» ģn",
+      "iá»ģ n",
+      "st av",
+      "sta v",
+      "í ŀ",
+      "ĠÙĨ ظ",
+      "Ĩ Ĵ",
+      "Ġ ÏĦα",
+      "ĠÏĦ α",
+      "Ġ заб",
+      "Ġз аб",
+      "Ġза б",
+      "Ùĥ Ø©",
+      "Ġг ÑĢÑĥ",
+      "ĠгÑĢ Ñĥ",
+      "в о",
+      "Ġ Ùħج",
+      "ĠÙħ ج",
+      "Ġ sah",
+      "Ġs ah",
+      "Ġsa h",
+      "ب ÙĦ",
+      "ع ة",
+      "Ñĥ ÑĪ",
+      "ĠÑĤ ем",
+      "ĠÑĤе м",
+      "í ĭ",
+      "e ck",
+      "ec k",
+      "Ïī ÏĤ",
+      "ÙĬ ت",
+      "ìĹ Ī",
+      "ç ĭ",
+      "ذ ا",
+      "ì łĢ",
+      "ìł Ģ",
+      "Ġн аÑģ",
+      "Ġна Ñģ",
+      "Ġ поÑĩ",
+      "Ġп оÑĩ",
+      "Ġпо Ñĩ",
+      "æł ¡",
+      "Ï Ī",
+      "Ñģ кой",
+      "Ñģк ой",
+      "Ñģко й",
+      "ü c",
+      "ÙĤ ÙĦ",
+      "Ġп оз",
+      "Ġпо з",
+      "Ġ оÑģоб",
+      "ĠоÑģ об",
+      "า ล",
+      "าภ¥",
+      "н Ñĭми",
+      "нÑĭ ми",
+      "нÑĭм и",
+      "о лод",
+      "ол од",
+      "оло д",
+      "è ¼",
+      "Ġ دÛĮ",
+      "Ġد ÛĮ",
+      "Ġ ÑĥÑģÑĤ",
+      "ĠÑĥ ÑģÑĤ",
+      "ĠÑĥÑģ ÑĤ",
+      "Ġ 무",
+      "Ġë ¬´",
+      "Ġë¬ ´",
+      "ÙĬ س",
+      "ë° ©",
+      "à¥į à¤ļ",
+      "à¥įठļ",
+      "и ла",
+      "ил а",
+      "Ġn ên",
+      "н ие",
+      "ни е",
+      "ι ν",
+      "lar ını",
+      "ların ı",
+      "à¹Ģ à¸Ļ",
+      "à¹ĢภĻ",
+      "ÙĨ ت",
+      "a ģı",
+      "aģ ı",
+      "ım ız",
+      "ımı z",
+      "ĠاÙĦ Ø®",
+      "à¹Ģ ว",
+      "à¹Ģภ§",
+      "à¥į न",
+      "à¥įठ¨",
+      "Ġ Ïħ",
+      "ĠÏ ħ",
+      "Ġ íĨ",
+      "Ġí Ĩ",
+      "Ạ»",
+      "ิ à¹Ĥ",
+      "α ÏĤ",
+      "м еÑĤ",
+      "ме ÑĤ",
+      "Ġ zp",
+      "Ġz p",
+      "Ġje ho",
+      "ี ยà¸Ļ",
+      "ีย à¸Ļ",
+      "ÑĦ оÑĢ",
+      "ın ız",
+      "ını z",
+      "k lad",
+      "kl ad",
+      "kla d",
+      "íĮ Į",
+      "uy á»ĩ",
+      "uyá» ĩ",
+      "ι ά",
+      "Ġ ãĢģ",
+      "ĠãĢ ģ",
+      "ش ر",
+      "æ© Ł",
+      "Ġ تا",
+      "Ġت ا",
+      "Ġ зна",
+      "Ġз на",
+      "Ġзн а",
+      "س تاÙĨ",
+      "ست اÙĨ",
+      "à¥ĩ र",
+      "à¥ĩठ°",
+      "ë§ ¤",
+      "ç ĥ",
+      "Ġ же",
+      "Ġж е",
+      "า à¸Ķ",
+      "าภĶ",
+      "Ġ ض",
+      "ĠØ ¶",
+      "é Ń",
+      "Ġн аз",
+      "Ġна з",
+      "Ġ ÛĮا",
+      "ĠÛĮ ا",
+      "e né",
+      "en é",
+      "ั ย",
+      "íĸ Īëĭ¤",
+      "íĸĪ ëĭ¤",
+      "Ġ بد",
+      "Ġب د",
+      "à¥ģ à¤ķ",
+      "à¥ģठķ",
+      "ÑĤ ов",
+      "ÑĤо в",
+      "ì° ¨",
+      "Ùĩ د",
+      "à¸Ķ ย",
+      "Ġho ặc",
+      "Ġ ÐŁÑĢи",
+      "ĠÐŁ ÑĢи",
+      "ĠÐŁÑĢ и",
+      "ÙĨ ا",
+      "çİ ĭ",
+      "Ñĥ ваÑĤи",
+      "Ñĥв аÑĤи",
+      "Ñĥва ÑĤи",
+      "à¸ļ ร",
+      "Ġà¤ķ रत",
+      "Ġà¤ķर त",
+      "Ïĥ ηÏĤ",
+      "Ïĥη ÏĤ",
+      "Ø ¤",
+      "éķ ·",
+      "åħ ĭ",
+      "Ġ دار",
+      "Ġد ار",
+      "ั à¹Ī",
+      "Æ¡ i",
+      "า à¸Ī",
+      "าภĪ",
+      "ý mi",
+      "ým i",
+      "ấ u",
+      "Ġد ست",
+      "Ġدس ت",
+      "k em",
+      "ke m",
+      "Ġ оÑģнов",
+      "ĠоÑģ нов",
+      "ëª ¨",
+      "Ïģ ά",
+      "æ ħ",
+      "Ġ اب",
+      "Ġا ب",
+      "ĠØ§Ø ¨",
+      "å£ «",
+      "Ħ ĸ",
+      "Î Ķ",
+      "ÙĬ Ùĥ",
+      "í İ",
+      "Ġy üz",
+      "a dı",
+      "ad ı",
+      "า à¸ķ",
+      "าภķ",
+      "ä» Ģ",
+      "ìĿ´ ëĭ¤",
+      "Ġ zv",
+      "Ġz v",
+      "Ġ tÄĽ",
+      "Ġt ÄĽ",
+      "Ġ íĸ",
+      "Ġí ĸ",
+      "ठ¥",
+      "Ġ लà¤Ĺ",
+      "Ġल à¤Ĺ",
+      "ìĺ Ģ",
+      "Ġ ан",
+      "Ġа н",
+      "ç Ĺ",
+      "ìĹ Ń",
+      "н ÑĸÑģÑĤÑĮ",
+      "нÑĸ ÑģÑĤÑĮ",
+      "нÑĸÑģÑĤ ÑĮ",
+      "Å ŀ",
+      "Ġph át",
+      "Ġphá t",
+      "ÙĤ Ø©",
+      "Ġth ế",
+      "Ġ ï¾",
+      "Ġï ¾",
+      "ì² ľ",
+      "Ġ ìĦł",
+      "ĠìĦ ł",
+      "à¹ĥ à¸Ĭ",
+      "i êu",
+      "iê u",
+      "ÄŁ ini",
+      "ÄŁi ni",
+      "ÄŁin i",
+      "ÙĤ د",
+      "Ġkter ý",
+      "Ñģ кий",
+      "Ñģк ий",
+      "Ñģки й",
+      "à¥į ड",
+      "à¥įठ¡",
+      "t adır",
+      "ta dır",
+      "Ġ Ñģм",
+      "ĠÑģ м",
+      "ÙĪ Ùģ",
+      "ا رÙĬ",
+      "ار ÙĬ",
+      "å¾ ·",
+      "ิ ม",
+      "خ ت",
+      "å¾ Ī",
+      "Ġ гоÑĢ",
+      "Ġг оÑĢ",
+      "ï¼Į æĪij",
+      "Ġ ìĺģ",
+      "Ġìĺ ģ",
+      "Ġ ëıĻ",
+      "Ġëı Ļ",
+      "Ñģ а",
+      "à¹Ģ à¸Ħ",
+      "à¹ĢภĦ",
+      "ë ¯¼",
+      "ë¯ ¼",
+      "ึ à¹Ī",
+      "Ġl iên",
+      "Ġli ên",
+      "Ġ Ùĩا",
+      "ĠÙĩ ا",
+      "ler ini",
+      "leri ni",
+      "lerin i",
+      "Ġ ÑĨе",
+      "ĠÑĨ е",
+      "ا ÙĦÛĮ",
+      "اÙĦ ÛĮ",
+      "Ġ मह",
+      "Ġम ह",
+      "Ġv ụ",
+      "Ġvá» ¥",
+      "Ġxu ất",
+      "ิ à¸ģ",
+      "ĠпÑĢо ÑĨ",
+      "Ġ αν",
+      "Ġα ν",
+      "ÑĢ им",
+      "ÑĢи м",
+      "Ġc ần",
+      "Ġ иÑħ",
+      "Ġи Ñħ",
+      "н оÑİ",
+      "но Ñİ",
+      "Ġt ÃŃnh",
+      "ĠtÃŃ nh",
+      "ĠtÃŃn h",
+      "Ġb á»Ļ",
+      "Ñĸ м",
+      "Ġnh áºŃn",
+      "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "ÙĬ Ùĩ",
+      "äº ļ",
+      "Ġоб ла",
+      "Ġобл а",
+      "Ġ à¤ĺ",
+      "Ġठĺ",
+      "n ých",
+      "ný ch",
+      "æĿ ij",
+      "ÙĦ س",
+      "Ġне об",
+      "ا بة",
+      "اب ة",
+      "v á",
+      "ο Ïħν",
+      "οÏħ ν",
+      "ÑĢ еÑĤ",
+      "ÑĢе ÑĤ",
+      "a sında",
+      "as ında",
+      "ası nda",
+      "Ġ yar",
+      "Ġy ar",
+      "Ġya r",
+      "ĠÄij iá»ĥm",
+      "ĠÄiji á»ĥm",
+      "н Ñİ",
+      "ा à¤Ĺ",
+      "ाठĹ",
+      "Ġ Ú©Ø´",
+      "ĠÚ© Ø´",
+      "Ñĥ з",
+      "Ġ à¸Ķ",
+      "ĠภĶ",
+      "ả m",
+      "к ами",
+      "ка ми",
+      "кам и",
+      "Ġ ÎĻ",
+      "ĠÎ Ļ",
+      "à¹Ģ à¸ķ",
+      "à¹Ģภķ",
+      "Ġl Ỽ",
+      "Ġlá» Ľ",
+      "ÙĤ ÛĮ",
+      "k ou",
+      "ko u",
+      "ÙĦ ب",
+      "и ва",
+      "ив а",
+      "æ ĵ",
+      "Ạ¹",
+      "κ α",
+      "ë² ķ",
+      "èĤ ²",
+      "á»ij n",
+      "Ġbel ir",
+      "íĨ ł",
+      "ÏĦ ή",
+      "Ñĭ ÑĪ",
+      "ãĤ ĥ",
+      "Ġ або",
+      "Ġа бо",
+      "Ġаб о",
+      "s ký",
+      "sk ý",
+      "à¥Ī स",
+      "Ġп ÑĢоÑģÑĤ",
+      "ĠпÑĢ оÑģÑĤ",
+      "ĠпÑĢо ÑģÑĤ",
+      "ĠпÑĢоÑģ ÑĤ",
+      "ekt edir",
+      "ekte dir",
+      "a ž",
+      "à¹Ī à¸Ń",
+      "Ġ оÑģÑĤ",
+      "Ġо ÑģÑĤ",
+      "ĠоÑģ ÑĤ",
+      "Ġb ảo",
+      "Ġ 大",
+      "Ġå¤ §",
+      "Ñĭ м",
+      "Ġm ů",
+      "Æ°á»Ľ ng",
+      "åı Ĺ",
+      "ÙĪ Ùĩ",
+      "Ġ Ñĥп",
+      "ĠÑĥ п",
+      "Ùĥ ÙĨ",
+      "Ġ ÏĦÏīν",
+      "ĠÏĦ Ïīν",
+      "ëħ ¸",
+      "Ġ à¸Ĭ",
+      "ĠภĬ",
+      "Ġ ÑĤого",
+      "ĠÑĤ ого",
+      "ĠÑĤо го",
+      "Ġ Ш",
+      "ĠÐ ¨",
+      "ìĿ´ íĬ¸",
+      "à¹Ģ à¸Ń",
+      "à¹ĢภŃ",
+      "и нÑĥ",
+      "ин Ñĥ",
+      "ĺ ħ",
+      "uy á»ĥn",
+      "uyá» ĥn",
+      "í ĴĪ",
+      "íĴ Ī",
+      "ạ nh",
+      "ạn h",
+      "Ġ ãĥ½",
+      "Ġãĥ ½",
+      "ÑĤ обÑĭ",
+      "ÑĤо бÑĭ",
+      "Ġt ạo",
+      "å· Ŀ",
+      "ĠÄij á»iji",
+      "Ġ ëıĦ",
+      "Ġëı Ħ",
+      "ä¹ ħ",
+      "Ġ تÙħ",
+      "Ġت Ùħ",
+      "а ÑĢи",
+      "аÑĢ и",
+      "st vÃŃ",
+      "Ġc ùng",
+      "íŀ Ī",
+      "Ġt arih",
+      "Ġtar ih",
+      "ì ¤ij",
+      "ì¤ ij",
+      "í Ĥ",
+      "Ġ دÙĪ",
+      "Ġد ÙĪ",
+      "ì ¡",
+      "а лÑĸ",
+      "ал Ñĸ",
+      "ภIJ",
+      "Ġc òn",
+      "и ÑĤÑĮÑģÑı",
+      "иÑĤÑĮ ÑģÑı",
+      "Ġव ह",
+      "ÅĻ eb",
+      "ÅĻe b",
+      "éĽ »",
+      "Ġ ми",
+      "Ġм и",
+      "o vÄĽ",
+      "ov ÄĽ",
+      "Ġd ân",
+      "ÑĨ ÑĸÑı",
+      "ÑĨÑĸ Ñı",
+      "ÛĮ ست",
+      "ÛĮس ت",
+      "åŃ ¸",
+      "Ġ ür",
+      "Ġü r",
+      "ص ÙĦ",
+      "ÑĢ иÑĤ",
+      "ÑĢи ÑĤ",
+      "า ห",
+      "าภ«",
+      "ãģ¦ ãģĦãģŁ",
+      "ãģ¦ãģĦ ãģŁ",
+      "θ η",
+      "ç ĸ",
+      "Ø Ł",
+      "i ÅŁtir",
+      "iÅŁ tir",
+      "iÅŁti r",
+      "ĠУкÑĢаÑĹ Ð½Ð¸",
+      "ĠУкÑĢаÑĹн и",
+      "ë° ĺ",
+      "à¥ĩ à¤ĸ",
+      "à¥ĩठĸ",
+      "Ġv á»ĭ",
+      "Ġvá» ĭ",
+      "Î ¥",
+      "Ġ ãĢĢĠãĢĢĠãĢĢ",
+      "ĠãĢĢ ĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢ ĠãĢĢ",
+      "ĠãĢĢĠ ãĢĢĠãĢĢ",
+      "Ġb ằng",
+      "Ġt á»ķ",
+      "Ġtá» ķ",
+      "о ли",
+      "ол и",
+      "๠Ĩ",
+      "e zi",
+      "ez i",
+      "Ġ ни",
+      "Ġн и",
+      "Ġ ÎĽ",
+      "ĠÎ Ľ",
+      "Ġr ất",
+      "μ ÏĢ",
+      "ж д",
+      "ा रत",
+      "ार त",
+      "Ġu ž",
+      "à¥ĩ स",
+      "à¥ĩठ¸",
+      "ا ÙĨد",
+      "اÙĨ د",
+      "Ġb ý",
+      "à¥ĭ ल",
+      "d ÄĽl",
+      "dÄĽ l",
+      "ìķ ĺ",
+      "Ġ جد",
+      "Ġج د",
+      "å ³",
+      "ื à¹ī",
+      "Ġb ản",
+      "ạ ch",
+      "ạc h",
+      "ĠÅŁ ey",
+      "Ġ Ùĩر",
+      "ĠÙĩ ر",
+      "Ġ jen",
+      "Ġj en",
+      "Ġje n",
+      "Ġв Ñĸн",
+      "ĠвÑĸ н",
+      "es inde",
+      "esi nde",
+      "esin de",
+      "Ġ हम",
+      "Ġह म",
+      "çł Ķ",
+      "à¸ļ à¸ļ",
+      "Ġch ức",
+      "Ġchứ c",
+      "ึ à¸ĩ",
+      "m alar",
+      "ma lar",
+      "mal ar",
+      "ĠdeÄŁ il",
+      "æĿ ±",
+      "Ġt ác",
+      "Ġtá c",
+      "Ġk iÅŁ",
+      "Ġki ÅŁ",
+      "Ġt á»±",
+      "Ġtá» ±",
+      "à¥į ध",
+      "à¥įठ§",
+      "à¸Ļ à¸Ĺ",
+      "ÎŁ Î¥",
+      "ÎŁÎ ¥",
+      "ÑģÑĮ кого",
+      "ÑģÑĮк ого",
+      "ÑģÑĮко го",
+      "Ġ ध",
+      "Ġठ§",
+      "Ġ ìĿĺ",
+      "ĠìĿ ĺ",
+      "ÙĨ Ø©",
+      "ü s",
+      "è «",
+      "Ġtaraf ından",
+      "ħ n",
+      "Ġk inh",
+      "Ġki nh",
+      "Ġkin h",
+      "Ïĥ ι",
+      "à¥Ģ à¤ķ",
+      "íı ¬",
+      "ا ÙħÙĦ",
+      "اÙħ ÙĦ",
+      "ĠV iá»ĩt",
+      "Ġ ÏĦον",
+      "ĠÏĦ ον",
+      "ĠÏĦο ν",
+      "Ġ تÙĨ",
+      "Ġت ÙĨ",
+      "Ġà¤ħ ध",
+      "à¹Ī าà¸Ļ",
+      "à¹Īา à¸Ļ",
+      "r ı",
+      "à¤Ĥ द",
+      "é ª",
+      "Ġch úng",
+      "Ġchú ng",
+      "г и",
+      "ÏĦ αν",
+      "ÏĦα ν",
+      "Ġд оп",
+      "Ġдо п",
+      "н Ñĸй",
+      "нÑĸ й",
+      "он алÑĮ",
+      "она лÑĮ",
+      "Î ĵ",
+      "Ġb üyük",
+      "Ġbü yük",
+      "Ġbüy ük",
+      "á ¼",
+      "à¥Ģ र",
+      "Ø° Ùĩ",
+      "Ġ ìķĦìĿ´",
+      "ĠìķĦ ìĿ´",
+      "Ġdo anh",
+      "Ġ ÅĻÃŃ",
+      "ĠÅĻ ÃŃ",
+      "ÑĨ Ñı",
+      "Ġt Æ°",
+      "Ġ सर",
+      "Ġस र",
+      "Ġm ÃŃst",
+      "ĠmÃŃ st",
+      "Ġë° ı",
+      "Ø´ ÙĨ",
+      "Ñĸ б",
+      "Ġ ãĢĢãĢĢ",
+      "ĠãĢĢ ãĢĢ",
+      "çĻ ½",
+      "о Ñģп",
+      "оÑģ п",
+      "к Ñĸв",
+      "кÑĸ в",
+      "Ġt ế",
+      "ãģ Ń",
+      "Ġt Ỽi",
+      "Ġtá» Ľi",
+      "Ġ ìļ°",
+      "Ġìļ °",
+      "æľ ĥ",
+      "ا ÛĮد",
+      "اÛĮ د",
+      "æ §",
+      "ìł IJ",
+      "Ġd urum",
+      "Ġdu rum",
+      "Ġdur um",
+      "à¹Ģ à¸Ĭ",
+      "à¹ĢภĬ",
+      "à¥Ģ त",
+      "ĠÙĩ ÙĪ",
+      "à¥Ĥ प",
+      "Ġgö re",
+      "Ġgör e",
+      "Ġ ÑĢоб",
+      "ĠÑĢ об",
+      "Ġth iết",
+      "Ġthi ết",
+      "a jÃŃ",
+      "aj ÃŃ",
+      "ĠاÛĮ راÙĨ",
+      "âĢ ı",
+      "ÑģÑĮ коÑĹ",
+      "ÑģÑĮк оÑĹ",
+      "ÑģÑĮко ÑĹ",
+      "ç ħ",
+      "Ġ ìĦ¸",
+      "ĠìĦ ¸",
+      "á» «",
+      "Ġ à¸Ĥ",
+      "ĠภĤ",
+      "ů m",
+      "ëŀ Į",
+      "ι κή",
+      "ικ ή",
+      "Ġм ог",
+      "Ġмо г",
+      "ÙĨ ÙĬ",
+      "ãģ ļ",
+      "ा ब",
+      "ाठ¬",
+      "æ ¢",
+      "ع Ùĩ",
+      "ÑĶ м",
+      "Ġ ά",
+      "ĠÎ ¬",
+      "οÏħ ÏĤ",
+      "ز ار",
+      "زا ر",
+      "ê± ´",
+      "s ká",
+      "sk á",
+      "Ġ اÙĬ",
+      "Ġا ÙĬ",
+      "Ġi lg",
+      "Ġil g",
+      "Ġ sı",
+      "Ġs ı",
+      "e leri",
+      "el eri",
+      "eler i",
+      "ele ri",
+      "Ġ ÎĹ",
+      "ĠÎ Ĺ",
+      "u yor",
+      "uy or",
+      "uyo r",
+      "ठ·",
+      "ि म",
+      "िठ®",
+      "е ва",
+      "ев а",
+      "ä»Ģ ä¹Ī",
+      "ุ à¹Ī",
+      "à¹ī าà¸ĩ",
+      "à¹īา à¸ĩ",
+      "Ġh iá»ĩu",
+      "Ġhi á»ĩu",
+      "Ġ اع",
+      "Ġا ع",
+      "ĠØ§Ø ¹",
+      "Ġö zel",
+      "Ġöz el",
+      "ν η",
+      "ëĦ ¤",
+      "Ġto Ãłn",
+      "Ġm oh",
+      "Ġmo h",
+      "ĠÑı кÑĸ",
+      "ĠÑıк Ñĸ",
+      "ç Ĭ",
+      "mak tadır",
+      "makta dır",
+      "makt adır",
+      "ت اب",
+      "تا ب",
+      "Ġ ÑģÑĥ",
+      "ĠÑģ Ñĥ",
+      "Ġ yük",
+      "Ġy ük",
+      "Ġ Χ",
+      "ĠÎ §",
+      "з на",
+      "зн а",
+      "о Ñħ",
+      "Æ° u",
+      "à¸Ĺ ร",
+      "ãħ ĭ",
+      "Ġkar ÅŁÄ±",
+      "ĠkarÅŁ ı",
+      "Ùħ ÛĮ",
+      "Ġ ÑĨÑĸ",
+      "ĠÑĨ Ñĸ",
+      "ا دÛĮ",
+      "اد ÛĮ",
+      "à¥Ģ ।",
+      "Ïģ η",
+      "л ов",
+      "ло в",
+      "å¤ «",
+      "Ġph ân",
+      "Ġп оп",
+      "Ġпо п",
+      "ç· ļ",
+      "Ñı н",
+      "ุ à¸ĵ",
+      "ÑģÑĤ Ñĥп",
+      "ίν αι",
+      "ίνα ι",
+      "ĠÑĢ окÑĥ",
+      "ĠÑĢок Ñĥ",
+      "l arda",
+      "lar da",
+      "è» Ĭ",
+      "Ïģ Ïī",
+      "ÙĪ اÙĩ",
+      "ÙĪا Ùĩ",
+      "è ħ",
+      "à¥į रत",
+      "à¥įर त",
+      "å· ±",
+      "Ġ ÑĢÑĥ",
+      "ĠÑĢ Ñĥ",
+      "Ġth á»ĭ",
+      "Ġthá» ĭ",
+      "ĠÄij iá»ĩn",
+      "ĠÄiji á»ĩn",
+      "ìĸ ij",
+      "n ého",
+      "né ho",
+      "ส ม",
+      "ê° ģ",
+      "a cÃŃ",
+      "ac ÃŃ",
+      "Ġг ода",
+      "Ġгод а",
+      "k az",
+      "ka z",
+      "Ġb öl",
+      "Ġbö l",
+      "Ġg ian",
+      "Ġgi an",
+      "Ġgia n",
+      "à¸Ľ ร",
+      "ï¾ ŀ",
+      "ั à¸ķ",
+      "Ġg erç",
+      "Ġger ç",
+      "Ġ اج",
+      "Ġا ج",
+      "ĠØ§Ø ¬",
+      "Ġ ή",
+      "ĠÎ ®",
+      "Ùij Ùİ",
+      "Ñģ кого",
+      "Ñģк ого",
+      "Ñģко го",
+      "ÑĢ аÑħ",
+      "ÑĢа Ñħ",
+      "Ġ Åł",
+      "ĠÅ ł",
+      "Ġ à¤Ľ",
+      "ĠठĽ",
+      "о ÑģÑĤÑĸ",
+      "оÑģ ÑĤÑĸ",
+      "оÑģÑĤ Ñĸ",
+      "ë³ ¸",
+      "ÑģÑĮ кий",
+      "ÑģÑĮк ий",
+      "Û± Û¹",
+      "Û±Û ¹",
+      "Ñĥ ва",
+      "Ñĥв а",
+      "ا ÙĦÙħ",
+      "اÙĦ Ùħ",
+      "ĠÙħ ص",
+      "ëį ĺ",
+      "b ÃŃ",
+      "Ġ ÙĪج",
+      "ĠÙĪ ج",
+      "ÏĦ ÏĮ",
+      "e bilir",
+      "eb ilir",
+      "Ġt iếp",
+      "Ġti ếp",
+      "Ġtiế p",
+      "é ¤",
+      "Ġ ä¸Ģ",
+      "Ġä¸ Ģ",
+      "ĠÑģ ÑĢед",
+      "ë Ĥ¨",
+      "ëĤ ¨",
+      "ε Ïģι",
+      "εÏģ ι",
+      "ا ث",
+      "Ø§Ø «",
+      "Ñģ ов",
+      "Ñģо в",
+      "Ïĩ ε",
+      "Ġ ë¶Ħ",
+      "Ġë¶ Ħ",
+      "Ġta ké",
+      "Ġtak é",
+      "Ġd üz",
+      "Ġdü z",
+      "Ġ íıī",
+      "Ġíı ī",
+      "Ġ اص",
+      "Ġا ص",
+      "ĠØ§Ø µ",
+      "ĠÏĥ ÏĦην",
+      "ĠÏĥÏĦη ν",
+      "ë° Ķ",
+      "Ġh á»Ļi",
+      "Ġhá»Ļ i",
+      "ر Ùĩ",
+      "ب ÛĮ",
+      "в е",
+      "Ġا ÙĦØ·",
+      "ĠاÙĦ Ø·",
+      "Ġ ÑĢез",
+      "ĠÑĢ ез",
+      "ĠÑĢе з",
+      "ب ار",
+      "با ر",
+      "Ġgi ải",
+      "Ġgiả i",
+      "ãģ« ãģª",
+      "ol eÄį",
+      "ole Äį",
+      "ठł",
+      "; :",
+      "ä½ ı",
+      "Ú© Ùĩ",
+      "Ġ Φ",
+      "ĠÎ ¦",
+      "Ġ ÑĥÑĩ",
+      "ĠÑĥ Ñĩ",
+      "âĹı âĹı",
+      "ู à¸ģ",
+      "à¥ĩ व",
+      "à¥ĩठµ",
+      "Ïĥ α",
+      "Ġ اÙĨت",
+      "Ġا ÙĨت",
+      "ĠاÙĨ ت",
+      "Ġв п",
+      "Ġqu ả",
+      "e nin",
+      "en in",
+      "eni n",
+      "Ġ êµIJ",
+      "Ġêµ IJ",
+      "μ ά",
+      "ک ت",
+      "ÙĤ Ùĩ",
+      "Ġ Türkiye",
+      "ĠTür kiye",
+      "ĠTürk iye",
+      "Ġth ức",
+      "Ġthứ c",
+      "íĹ ĺ",
+      "iá»ĩ m",
+      "Ġत à¤ķ",
+      "Ġ éĩ",
+      "Ġé ĩ",
+      "़ ा",
+      "ĠØ£ ÙĪ",
+      "á le",
+      "ál e",
+      "ç© ¶",
+      "ĠÅŁ ekil",
+      "ĠÅŁek il",
+      "к ого",
+      "ко го",
+      "ког о",
+      "ÑĪ иÑħ",
+      "ÑĪи Ñħ",
+      "ا ÛĮØ´",
+      "اÛĮ Ø´",
+      "ت ÙĨ",
+      "н ей",
+      "не й",
+      "à¸Ĺ ำ",
+      "Ġ Ñıв",
+      "ĠÑı в",
+      "ر Ùħ",
+      "Ġm áy",
+      "Ġmá y",
+      "ห ม",
+      "ı yla",
+      "ıy la",
+      "Ġc ầu",
+      "Ġд об",
+      "Ġдо б",
+      "Ġ ìŀ¥",
+      "Ġìŀ ¥",
+      "o vý",
+      "ov ý",
+      "ι κÏĮ",
+      "ικ ÏĮ",
+      "Ġ ãħĩ",
+      "Ġãħ ĩ",
+      "Ġ ÑĤеÑĢ",
+      "ĠÑĤ еÑĢ",
+      "ĠÑĤе ÑĢ",
+      "Į Ĵ",
+      "س ÙĬ",
+      "Ġol uÅŁ",
+      "Ġb yla",
+      "Ġby la",
+      "Ġbyl a",
+      "ع ÙĦ",
+      "Ġ ÙĥاÙĨ",
+      "ĠÙĥ اÙĨ",
+      "б оÑĢ",
+      "бо ÑĢ",
+      "ì² Ń",
+      "ãĥ ı",
+      "u bl",
+      "ub l",
+      "Ġ اخ",
+      "Ġا Ø®",
+      "ĠØ§Ø ®",
+      "ÙĦ ÙĪد",
+      "ÙĦÙĪ د",
+      "ت ÙĬ",
+      "l adı",
+      "la dı",
+      "lad ı",
+      "Ġ Ã¶ÄŁ",
+      "Ġö ÄŁ",
+      "r uh",
+      "ru h",
+      "ç ¿",
+      "Ġ بعد",
+      "Ġب عد",
+      "Ġبع د",
+      "ÎĻ Îij",
+      "i dir",
+      "id ir",
+      "idi r",
+      "ãģ« ãģ¯",
+      "Ġs öy",
+      "Ġsö y",
+      "Ġkh ách",
+      "Ġkhác h",
+      "Ġkhá ch",
+      "ÑĨ е",
+      "Ġ Ø´ÙĪد",
+      "ĠØ´ ÙĪد",
+      "ĠØ´ÙĪ د",
+      "ç ¸",
+      "Ġ ëħ¸",
+      "Ġëħ ¸",
+      "ú p",
+      "Ġn eden",
+      "Ġne den",
+      "Ġned en",
+      "Ġh óa",
+      "Ġà¤ī प",
+      "Ïĥ ειÏĤ",
+      "Ïĥει ÏĤ",
+      "æĪ ¿",
+      "Ġ ³³",
+      "ĠÂł Âł",
+      "Ġ ìķĮ",
+      "Ġì ķĮ",
+      "Ġìķ Į",
+      "à¥Ģ ,",
+      "´ ij",
+      "ê u",
+      "ÑĢ ок",
+      "ÑĢо к",
+      "à¹Ģ à¸Ī",
+      "à¹ĢภĪ",
+      "Ġε ίναι",
+      "Ġ بÙĦ",
+      "Ġب ÙĦ",
+      "Ġ Ñģов",
+      "ĠÑģ ов",
+      "ĠÑģо в",
+      "Ġö nem",
+      "Ġön em",
+      "Ġöne m",
+      "Ġ à¸ĭ",
+      "Ġภĭ",
+      "ì§Ģ ë§Į",
+      "å® ĺ",
+      "ê² ©",
+      "ìĦ Ŀ",
+      "Ġ až",
+      "Ġa ž",
+      "Ġd uy",
+      "Ġdu y",
+      "ãģ¨ ãģĦ",
+      "Ø Ľ",
+      "δ ο",
+      "θ ε",
+      "Ùĥ اÙĨ",
+      "ठ¢",
+      "ा à¤ĵ",
+      "ाठĵ",
+      "Ġd á»ĭch",
+      "Ġdá»ĭ ch",
+      "á»Ļ ng",
+      "á»Ļn g",
+      "ส ำ",
+      "Ä ı",
+      "Ġ ÑĹÑħ",
+      "ĠÑĹ Ñħ",
+      "α λ",
+      "e Äį",
+      "ç² ¾",
+      "Ġ зв",
+      "Ġз в",
+      "èĩª å·±",
+      "Ġ اÙĦÙĦÙĩ",
+      "ĠاÙĦ ÙĦÙĩ",
+      "ĠاÙĦÙĦ Ùĩ",
+      "Ġ СÑĤ",
+      "ĠС ÑĤ",
+      "Ġ سÙĨÚ¯",
+      "Ġس ÙĨÚ¯",
+      "ĠسÙĨ Ú¯",
+      "Ġ дом",
+      "Ġд ом",
+      "Ġдо м",
+      "г оÑĤов",
+      "го ÑĤов",
+      "гоÑĤ ов",
+      "п овÑĸд",
+      "пов Ñĸд",
+      "по вÑĸд",
+      "Ġ Bá»Ļ",
+      "ĠB á»Ļ",
+      "à¥įय à¤ķ",
+      "Ø· Ø©",
+      "м ов",
+      "мо в",
+      "à¸Ĺ าà¸ĩ",
+      "ึ à¸ģ",
+      "Ġ Ñĸз",
+      "ĠÑĸ з",
+      "à¥ĭ à¤ľ",
+      "Ġgö ster",
+      "Ġ باشد",
+      "Ġبا شد",
+      "Ġباش د",
+      "i leri",
+      "il eri",
+      "ile ri",
+      "iler i",
+      "ĠÑģ еб",
+      "Ñī о",
+      "Ġãħĩ ãħĩ",
+      "ب ت",
+      "Ñģ е",
+      "à¥ĩ à¤ľ",
+      "à¥ĩठľ",
+      "Ġl ên",
+      "Ġ تÙĪ",
+      "Ġت ÙĪ",
+      "Ñĸ ÑģÑĤÑĮ",
+      "ÑĸÑģ ÑĤÑĮ",
+      "ÑĸÑģÑĤ ÑĮ",
+      "ï¾Ĩ ï¾Ĩ",
+      "Ġth Æ°á»Ŀng",
+      "Ġol duÄŁu",
+      "Ġoldu ÄŁu",
+      "ĠolduÄŁ u",
+      "v ÄĽt",
+      "vÄĽ t",
+      "ìĨ į",
+      "ãģĿ ãģĨ",
+      "Ġ ìĦ±",
+      "ĠìĦ ±",
+      "ë° ľ",
+      "Ġ à¸ģาร",
+      "Ġà¸ģ าร",
+      "Ġ Ø´Ùĩر",
+      "ĠØ´ Ùĩر",
+      "ĠØ´Ùĩ ر",
+      "s led",
+      "sl ed",
+      "ả nh",
+      "ản h",
+      "æŀ Ĺ",
+      "l acak",
+      "la cak",
+      "lac ak",
+      "Ġm ình",
+      "Ú© ÛĮ",
+      "Ġ à¹ĥà¸Ļ",
+      "Ġd ùng",
+      "Ġdù ng",
+      "Ġм аÑģ",
+      "Ġма Ñģ",
+      "ÑĦ ек",
+      "æ° Ķ",
+      "é §",
+      "Ġ اØŃ",
+      "Ġا ØŃ",
+      "ĠØ§Ø Ń",
+      "èµ °",
+      "ÎĻ Îļ",
+      "à¥ĩ ।",
+      "ÑģÑĮ ка",
+      "ÑģÑĮк а",
+      "Ġ ÑĩаÑģÑĤ",
+      "ĠÑĩ аÑģÑĤ",
+      "ĠÑĩа ÑģÑĤ",
+      "ĠÑĩаÑģ ÑĤ",
+      "lar ının",
+      "ların ın",
+      "larını n",
+      "Ġ ê¹Ģ",
+      "Ġê¹ Ģ",
+      "ì¸ µ",
+      "н ими",
+      "ни ми",
+      "ним и",
+      "èª ŀ",
+      "åĢ ĭ",
+      "Ġ êµŃ",
+      "Ġêµ Ń",
+      "к оÑĢ",
+      "ко ÑĢ",
+      "m aya",
+      "ma ya",
+      "may a",
+      "ิ à¹Ĥà¸Ļ",
+      "ิà¹Ĥ à¸Ļ",
+      ". ศ",
+      "Ġh á»ĩ",
+      "Ġhá» ĩ",
+      "Ġ تÙĤ",
+      "Ġت ÙĤ",
+      "γ κ",
+      "Ġà¤Ĩप à¤ķ",
+      "Ñģ ÑĤоÑĢ",
+      "ÑģÑĤ оÑĢ",
+      "ĠÄij o",
+      "Ġch ủ",
+      "ا ÛĮت",
+      "اÛĮ ت",
+      "ĠQu á»ijc",
+      "г лÑı",
+      "гл Ñı",
+      "ãĢĤ ãĢįĊĊ",
+      "ãĢĤãĢį ĊĊ",
+      "Ġn Ãło",
+      "à¸Ń ล",
+      "æĬ Ĭ",
+      "ÙĪ رت",
+      "ÙĪر ت",
+      "Ġb ude",
+      "Ġbu de",
+      "Ġbud e",
+      "æĽ ¸",
+      "e lik",
+      "el ik",
+      "eli k",
+      "Ġ جÙĩ",
+      "Ġج Ùĩ",
+      "ĠبÙĪ ابة",
+      "èĬ ±",
+      "د ار",
+      "دا ر",
+      "Ġb ýt",
+      "Ġbý t",
+      "Ñĩ е",
+      "ãĤĵ ãģł",
+      "ĠÙħ Ø·",
+      "l ere",
+      "le re",
+      "ler e",
+      "ÎĹ Î£",
+      "íĺ ķ",
+      "âĸ į",
+      "ÄŁ u",
+      "Ġв з",
+      "ÙĬ ز",
+      "ĠÐł оÑģ",
+      "íĭ °",
+      "Ġد اش",
+      "ì§ ij",
+      "a tı",
+      "at ı",
+      "m esi",
+      "me si",
+      "mes i",
+      "ãĤī ãĤĮ",
+      "ů v",
+      "r át",
+      "rá t",
+      "оÑģ об",
+      "åIJ Ħ",
+      "uy á»ĩn",
+      "uyá»ĩ n",
+      "åģ ļ",
+      "ü st",
+      "üs t",
+      "éĩ İ",
+      "α Ïĥ",
+      "Ġm ặt",
+      "е лов",
+      "ел ов",
+      "ело в",
+      "åį ļ",
+      "д ж",
+      "Ġد ارد",
+      "Ġدار د",
+      "Ġf ark",
+      "Ġfa rk",
+      "Ġfar k",
+      "à¹ī วย",
+      "à¹īว ย",
+      "о ни",
+      "он и",
+      "Ġب Ø®",
+      "à¥ģ त",
+      "à¥ģठ¤",
+      "ĠÄij ây",
+      "α Ïģα",
+      "αÏģ α",
+      "Ġ δια",
+      "Ġδ ια",
+      "Ġδι α",
+      "Ġ è¯",
+      "Ġè ¯",
+      "к аÑħ",
+      "ка Ñħ",
+      "ch áz",
+      "z enÃŃ",
+      "ze nÃŃ",
+      "zen ÃŃ",
+      "ÑĢ оп",
+      "ÑĢо п",
+      "à¥Ģ म",
+      "í Ĩµ",
+      "íĨ µ",
+      "d ü",
+      "à¸ł าà¸ŀ",
+      "Ġ íĬ",
+      "Ġí Ĭ",
+      "ÙĪ ا",
+      "Ġt á»ijt",
+      "Ġtá»ij t",
+      "ï¼Ł ãĢįĊĊ",
+      "ï¼ŁãĢį ĊĊ",
+      "Ġ æľĪ",
+      "Ġnh Æ°ng",
+      "ĠnhÆ° ng",
+      "Ġne ž",
+      "à¥ĭ ड",
+      "ìĹIJ ê²Į",
+      "à¤Ĥ ड",
+      "¶ Į",
+      "Ġ меÑģÑĤ",
+      "Ġм еÑģÑĤ",
+      "ा à¤ģ",
+      "ाठģ",
+      "ì¦ Ŀ",
+      "ĠÄij ang",
+      "ĠÄija ng",
+      "à¸Ń à¸Ķ",
+      "í ĽĦ",
+      "á»į i",
+      "sk ého",
+      "ské ho",
+      "Ġд ок",
+      "Ġдо к",
+      "Ġ تص",
+      "Ġت ص",
+      "Ġph òng",
+      "Ġ ê°ķ",
+      "Ġê° ķ",
+      "Ġtr Æ°á»Ľc",
+      "í ijľ",
+      "Ù Ķ",
+      "Ġph ÃŃ",
+      "Ġch á»įn",
+      "ä¹ IJ",
+      "ĠÅŁek ilde",
+      "ĠÅŁekil de",
+      "Ġ íİ",
+      "Ġí İ",
+      "é º",
+      "ë £¨",
+      "ë£ ¨",
+      "à¥Ī ।Ċ",
+      "à¥Ī। Ċ",
+      "ÙĪ رÛĮ",
+      "ÙĪر ÛĮ",
+      "Ñģ ÑĤÑĢа",
+      "ÑģÑĤ ÑĢа",
+      "ÑģÑĤÑĢ а",
+      "il di",
+      "ild i",
+      "Ġα Ïħ",
+      "в аннÑı",
+      "ван нÑı",
+      "ìļ ¸",
+      ". âĢľĊĊ",
+      ".âĢľ ĊĊ",
+      "ĠÑĤак же",
+      "ëĵ ±",
+      "е ка",
+      "ек а",
+      "æī į",
+      "Ùħ Ø©",
+      "Ġph Æ°Æ¡ng",
+      "é© ¬",
+      "ãĢĢ ĠãĢĢ",
+      "ãĢĢĠ ãĢĢ",
+      "ov ých",
+      "ový ch",
+      "ี ยà¸ĩ",
+      "ีย à¸ĩ",
+      "ĠT ru",
+      "ĠTr u",
+      "е Ñģп",
+      "еÑģ п",
+      "st up",
+      "stu p",
+      "Ä Į",
+      "Ġdal Å¡ÃŃ",
+      "ز ÛĮ",
+      "Ġ 매",
+      "Ġë§ ¤",
+      "Ġ обÑĢаз",
+      "Ġоб ÑĢаз",
+      "ĠобÑĢа з",
+      "Ġaç ık",
+      "Ġaçı k",
+      "ê° ķ",
+      "Ùģ ادÙĩ",
+      "Ú¯ اÙĨ",
+      "à¹ī à¸Ļ",
+      "ẩ n",
+      "å·¥ ä½ľ",
+      "Ġ तर",
+      "Ġत र",
+      "ÙĬ ع",
+      "Ġ ãĢĬ",
+      "ĠãĢ Ĭ",
+      ", âĢľ",
+      "Ġ nev",
+      "Ġn ev",
+      "Ġne v",
+      "ั à¸į",
+      "ģ ını",
+      "ģın ı",
+      "Ġ jin",
+      "Ġj in",
+      "Ġji n",
+      "ا خت",
+      "اخ ت",
+      "س ر",
+      "Ġt Ãłi",
+      "Ġkter á",
+      "Ġا ÙĦÙĦ",
+      "ĠاÙĦ ÙĦ",
+      "ठħ",
+      "iz met",
+      "izm et",
+      "à¥ģ म",
+      "à¥ģठ®",
+      "า ะ",
+      "าภ°",
+      "Ġ ê·",
+      "Ġê ·",
+      "l ıģı",
+      "lı ģı",
+      "lıģ ı",
+      "çı ¾",
+      "li ÄŁi",
+      "liÄŁ i",
+      "êµ °",
+      "a lık",
+      "al ık",
+      "alı k",
+      "Ġد ÙĪر",
+      "ĠدÙĪ ر",
+      "Ġ ìĭ¤",
+      "Ġìĭ ¤",
+      "Ġз аÑģ",
+      "Ġза Ñģ",
+      "ÙĤ ÙĬ",
+      "Ġ ứng",
+      "Ġ ÙĥÙĩ",
+      "ĠÙĥ Ùĩ",
+      "ÎŁ Σ",
+      "ÎŁÎ £",
+      "è¨ Ń",
+      "ç Į",
+      "ãģĦ ãģŁ",
+      "íĺ Ħ",
+      "Ġ ÑĤе",
+      "ĠÑĤ е",
+      "е ÑĢÑĸ",
+      "еÑĢ Ñĸ",
+      "s ız",
+      "sı z",
+      "Ġ ý",
+      "ĠÃ ½",
+      "д ов",
+      "до в",
+      "Ġ à¤ĩसà¤ķ",
+      "Ġà¤ĩस à¤ķ",
+      "г од",
+      "го д",
+      "Ġby lo",
+      "Ġbyl o",
+      "าà¸Ħ ม",
+      "е нием",
+      "ен ием",
+      "ени ем",
+      "ение м",
+      "Ð ¨",
+      "æľ ¯",
+      "Ġप हल",
+      "Ġपह ल",
+      "Ġ aÅŁ",
+      "Ġa ÅŁ",
+      "ि à¤ľ",
+      "िठľ",
+      "åĵ ¡",
+      "в аÑĢ",
+      "ва ÑĢ",
+      "à¹ī ำ",
+      "â ĮĴ",
+      "ov án",
+      "ová n",
+      "Ġgi úp",
+      "Ð ¥",
+      "ĠÑģ Ñĥд",
+      "ĠÑģÑĥ д",
+      "Ġà¤ķ म",
+      "ạ m",
+      "ر س",
+      "Ġ 人",
+      "Ġ بÛĮ",
+      "Ġب ÛĮ",
+      "Ġà¤īन à¤ķ",
+      "ë¦ ½",
+      "áºŃ y",
+      "Ġv áºŃt",
+      "л ÑıеÑĤÑģÑı",
+      "лÑı еÑĤÑģÑı",
+      "лÑıеÑĤ ÑģÑı",
+      "Ġs eç",
+      "Ġse ç",
+      "Ġ ì½",
+      "Ġì ½",
+      "ÑĢ Ñĥж",
+      "ÑĢÑĥ ж",
+      "ت ص",
+      "| :",
+      "Ġ ëł",
+      "Ġë ł",
+      "и ми",
+      "им и",
+      "Ġ лÑİб",
+      "ĠлÑİ Ð±",
+      "Ġ à¸ľ",
+      "Ġภľ",
+      "ï¼Į ä½Ĩ",
+      "Ġ нав",
+      "Ġн ав",
+      "Ġна в",
+      "âĢ ¬",
+      "à¹Ī าย",
+      "à¹Īา ย",
+      "Ġ رس",
+      "Ġر س",
+      "s iniz",
+      "sin iz",
+      "ë ¨",
+      "е ниÑİ",
+      "ен иÑİ",
+      "ени Ñİ",
+      "Ġ ล",
+      "Ġภ¥",
+      "ا سÛĮ",
+      "اس ÛĮ",
+      "ॠľ",
+      "ĠÙ¾ ÛĮØ´",
+      "ĠÙ¾ÛĮ Ø´",
+      "ί δ",
+      "Ġ Ù¾ÛĮ",
+      "ĠÙ¾ ÛĮ",
+      "еÑĢж ав",
+      "ठĨ",
+      "ĠdÃ¼ÅŁ ün",
+      "å¿ «",
+      "ÑĢ еÑģ",
+      "ÑĢе Ñģ",
+      "åħ «",
+      "ÑĤ Ñĸ",
+      "ि à¤Ł",
+      "िठŁ",
+      "Ġ ÑĤеÑħ",
+      "ĠÑĤ еÑħ",
+      "ĠÑĤе Ñħ",
+      "ú t",
+      "ÙĨ Ùĩ",
+      "Ġ ÙĨØ´",
+      "ĠÙĨ Ø´",
+      "çĻ º",
+      "Ġ ê°¤",
+      "Ġê° ¤",
+      "л ед",
+      "ле д",
+      "Ġ ëĵ¤",
+      "Ġëĵ ¤",
+      "Ġbi lg",
+      "Ġbil g",
+      "Ġsp oleÄį",
+      "Ġspol eÄį",
+      "Ġspole Äį",
+      "ĠÄij Æ¡n",
+      "Ġ à¤īत",
+      "Ġà¤ī त",
+      "Ġtr á»ĭ",
+      "Ġ عÙħ",
+      "Ġع Ùħ",
+      "Ġ ।",
+      "Ġà ¥¤",
+      "Ġॠ¤",
+      "Ġú Äį",
+      "ãģ ¸",
+      "ว à¸ģ",
+      "ĠÑģл ÑĥÑĩа",
+      "ĠÑģлÑĥÑĩ а",
+      "ĠÑģлÑĥ Ñĩа",
+      "á» įng",
+      "á»į ng",
+      "á»įn g",
+      "åı Ī",
+      "и ÑĤÑĥ",
+      "иÑĤ Ñĥ",
+      "æľī éĻIJ",
+      "ë¦ °",
+      "ëĭ ĺ",
+      "Ġho ạt",
+      "ĠìĿ´ ëıĻ",
+      "з наÑĩ",
+      "зна Ñĩ",
+      "зн аÑĩ",
+      "Ġاست ÙģادÙĩ",
+      "ĠпÑĢо ÑĨеÑģ",
+      "ĠпÑĢоÑĨ еÑģ",
+      "an ın",
+      "anı n",
+      "г Ñĥ",
+      "Ġ اÙĦØ«",
+      "ĠاÙĦ Ø«",
+      "æĹ¥ æľ¬",
+      "ι κά",
+      "ικ ά",
+      "ĠÑĹ ÑĹ",
+      "ì§ ģ",
+      "i nu",
+      "in u",
+      "Ġس از",
+      "ãĤ ¡",
+      "ï¾ ī",
+      "Ġ اÙĤ",
+      "Ġا ÙĤ",
+      "Ġk ế",
+      "ů sob",
+      "à¹ĩ à¸ģ",
+      "åIJ §",
+      "æ¼ Ķ",
+      "Ñī ие",
+      "Ñīи е",
+      "ç Ĩ",
+      "ÑĮ ого",
+      "à¥ĭ à¤Ł",
+      "ا پ",
+      "ا٠¾",
+      "å ®¤",
+      "å® ¤",
+      "Ġ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "Ġtr iá»ĥn",
+      "Ġtri á»ĥn",
+      "Ġt áºŃp",
+      "é£ Ł",
+      "ë ¹",
+      "ĠÑĩеÑĢ ез",
+      "Ġ ÑĨи",
+      "ĠÑĨ и",
+      "Ñģ Ñĥ",
+      "Ġ нем",
+      "Ġн ем",
+      "Ġне м",
+      "Ġ аÑĢ",
+      "Ġа ÑĢ",
+      "Ġ ÙĦا",
+      "ĠÙĦ ا",
+      "Ġ ì§Ħ",
+      "Ġì§ Ħ",
+      "ç Ł³",
+      "çŁ ³",
+      "Ġп ÑĢоб",
+      "ĠпÑĢ об",
+      "ĠпÑĢо б",
+      "Ġ ìĽIJ",
+      "ĠìĽ IJ",
+      "ÛĮ ÙĨÛĮ",
+      "ÛĮÙĨ ÛĮ",
+      "Ñİ Ñĩи",
+      "âĢ į",
+      "Û± Û³",
+      "Û±Û ³",
+      "ã Ĥ¬",
+      "ãĤ ¬",
+      "çłĶ 究",
+      "í Ĥ¤",
+      "íĤ ¤",
+      "Ġger çek",
+      "Ġgerç ek",
+      "ĠØŃ Ø³",
+      "íĶ ¼",
+      "èĤ ¡",
+      "Ġ ÏĦι",
+      "ĠÏĦ ι",
+      "ĠvÅ¡ ech",
+      "ĠvÅ¡e ch",
+      "Ġv ì",
+      "ا ÙĨÙĬ",
+      "اÙĨ ÙĬ",
+      "ĠÙĩ ست",
+      "Ġ ëĤ¨",
+      "Ġë Ĥ¨",
+      "ĠëĤ ¨",
+      "ÅĻ ej",
+      "ÅĻe j",
+      "е ÑĢг",
+      "еÑĢ г",
+      "Ġs öz",
+      "Ġsö z",
+      "ĠاÙĦ Ùħت",
+      "ĠاÙĦÙħ ت",
+      "Ġch ế",
+      "á»ĵ i",
+      "åı ¤",
+      "âĸį âĸį",
+      "á»ĵ ng",
+      "á»ĵn g",
+      "ãĥ ¢",
+      "Ġ ди",
+      "Ġд и",
+      "ε λ",
+      "Ġ она",
+      "Ġо на",
+      "Ġон а",
+      "Ġ най",
+      "Ġн ай",
+      "Ġна й",
+      "Ġ _{",
+      "Ġ_ {",
+      "п ол",
+      "по л",
+      "al iz",
+      "ali z",
+      "Ġt Äĥng",
+      "Ġ dÃŃ",
+      "Ġd ÃŃ",
+      "é p",
+      "Ġ ÙĦÙħ",
+      "ĠÙĦ Ùħ",
+      "Ġm ož",
+      "Ġmo ž",
+      "Ġng oÃłi",
+      "è Ĺ",
+      "Ġ Ñĩем",
+      "ĠÑĩ ем",
+      "ĠÄij á»ķ",
+      "ĠÄijá» ķ",
+      "е ÑĤа",
+      "еÑĤ а",
+      "åı ²",
+      "ĠÑģ каз",
+      "ĠÑģк аз",
+      "ĠÑģка з",
+      "ãĤ¿ ãĥ¼",
+      "а нÑĮ",
+      "ан ÑĮ",
+      "Ġg öz",
+      "Ġgö z",
+      "ë³ Ħ",
+      "ãģĭ ãģ£ãģŁ",
+      "Ġ ëįĶ",
+      "Ġëį Ķ",
+      "ĠÙĨ ÙĤ",
+      "Ġ ÑĥÑĩа",
+      "ĠÑĥ Ñĩа",
+      "ĠÑĥÑĩ а",
+      "Ġsa hip",
+      "Ġsah ip",
+      "ĠÑģ пе",
+      "ĠÑģп е",
+      "ί οÏħ",
+      "ίο Ïħ",
+      "ì ½Ķ",
+      "ì½ Ķ",
+      "Ġ ëĪ",
+      "Ġë Ī",
+      "m am",
+      "ma m",
+      "Ġr oce",
+      "Ġro ce",
+      "Ġroc e",
+      "Ġ ÙĨاÙħ",
+      "ĠÙĨ اÙħ",
+      "еÑĢ аÑĤÑĥ",
+      "еÑĢа ÑĤÑĥ",
+      "ı p",
+      "ãģĦ ãģ¦",
+      "Ġ íķĻ",
+      "Ġíķ Ļ",
+      "Ġ à¤ĩन",
+      "Ġà¤ĩ न",
+      "å ©",
+      "Ġnh iên",
+      "a tır",
+      "at ır",
+      "atı r",
+      "ÅĻ enÃŃ",
+      "ÅĻe nÃŃ",
+      "ÅĻen ÃŃ",
+      "د ة",
+      "ãĥª ãĥ¼",
+      "ล à¸ĩ",
+      "Ġ éĢ",
+      "Ġé Ģ",
+      "Ġ à¹Ģà¸Ľ",
+      "Ġà¹Ģ à¸Ľ",
+      "Ġà¹ĢภĽ",
+      "д Ñĸ",
+      "ÎŃ Ïģ",
+      "ìĦ ¤",
+      "г ÑĢа",
+      "es ine",
+      "esi ne",
+      "esin e",
+      "Ġ ее",
+      "Ġе е",
+      "Ġ iki",
+      "Ġi ki",
+      "Ġik i",
+      "Ġت ج",
+      "lar ına",
+      "ları na",
+      "ların a",
+      "d ür",
+      "dü r",
+      "ĠاÙĦ Ø°",
+      "Ùħ ت",
+      "ĠठIJ",
+      "ि द",
+      "िठ¦",
+      "Ġ ë¹",
+      "Ġë ¹",
+      "ÑĦоÑĢм а",
+      "ÑĦоÑĢ ма",
+      "Ġ они",
+      "Ġо ни",
+      "Ġон и",
+      "г оÑĢ",
+      "го ÑĢ",
+      "н еÑģ",
+      "не Ñģ",
+      "ìĺĢ ëĭ¤",
+      "ıl dı",
+      "Ġ çek",
+      "Ġç ek",
+      "Ġ дов",
+      "Ġд ов",
+      "Ġдо в",
+      "د ÛĮ",
+      "Ġ ÄĮesk",
+      "ĠÄĮ esk",
+      "ĠÄĮes k",
+      "ÑĪ а",
+      "Ġ ات",
+      "Ġا ت",
+      "ĠØ§Ø ª",
+      "å± ĭ",
+      "æĸ ¼",
+      "Ġ práv",
+      "Ġp ráv",
+      "Ġpr áv",
+      "Ġprá v",
+      "é mu",
+      "ém u",
+      "å¸ Ī",
+      "ãħĭ ãħĭ",
+      "Ġil gili",
+      "Ġilg ili",
+      "Ġilgi li",
+      "ห ว",
+      "ठĩ",
+      "ा ष",
+      "ाठ·",
+      "ëŀ ij",
+      "as yon",
+      "asy on",
+      "ÑĨ ÑĮ",
+      "à¹ģ à¸ķ",
+      "ợ i",
+      "Ġв ÑĭÑģ",
+      "ĠвÑĭ Ñģ",
+      "ÑĸлÑĮ ки",
+      "ĠкоÑĤоÑĢ Ñĭе",
+      "н ики",
+      "ни ки",
+      "ник и",
+      "Ġ اد",
+      "Ġا د",
+      "ĠØ§Ø ¯",
+      "Ġ živ",
+      "Ġž iv",
+      "Ġži v",
+      "Ġα ÏĢο",
+      "ĠαÏĢ ο",
+      "ر ض",
+      "ا ة",
+      "Ø§Ø ©",
+      "Ġk dyž",
+      "Ġkdy ž",
+      "ữ a",
+      "Ġ ëĮĢíķľ",
+      "ĠëĮĢ íķľ",
+      "Ġt ôi",
+      "Ġtô i",
+      "Ñĥ ÑĶ",
+      "ز ر",
+      "Ġ å¥",
+      "Ġå ¥",
+      "ãĥĭ ãĥĭ",
+      "ب ة",
+      "ÏĦ οÏĤ",
+      "ÏĦο ÏĤ",
+      "ÑĨи он",
+      "Ġ ÙħÙĬ",
+      "ĠÙħ ÙĬ",
+      "Ġ Äĥn",
+      "ĠÄ ĥn",
+      "à¥ĩ à¤Ĺ",
+      "à¥ĩठĹ",
+      "Ġ ÑĢег",
+      "ĠÑĢ ег",
+      "ĠÑĢе г",
+      "ĠlỼ n",
+      "ì¤ Ģ",
+      "ìĭ ¬",
+      "Ġb iết",
+      "Ġbi ết",
+      "a ları",
+      "al arı",
+      "ala rı",
+      "alar ı",
+      "Ùģ ÙĬ",
+      "ä¸ĸ çķĮ",
+      "Ġне обÑħодим",
+      "Ġнеоб Ñħодим",
+      "à¸Ļ ว",
+      "ν ÏĦ",
+      "Ġ ảnh",
+      "íĸ Ī",
+      "Ġ वर",
+      "Ġव र",
+      "h led",
+      "hl ed",
+      "hle d",
+      "ิ à¸Ī",
+      "æŃ »",
+      "ĠاÙĦ تÙĬ",
+      "ĠاÙĦت ÙĬ",
+      "н оÑģ",
+      "но Ñģ",
+      "p rav",
+      "pr av",
+      "pra v",
+      "Ñı ÑĤи",
+      "ÑıÑĤ и",
+      "Ñī а",
+      "ÙĪ ÙĨÙĩ",
+      "ÙĪÙĨ Ùĩ",
+      "Ġ aÄŁ",
+      "Ġa ÄŁ",
+      "à¸ŀ ระ",
+      "à¸ŀร ะ",
+      "Ġth á»ijng",
+      "Ġthá» ijng",
+      "ÑĦ и",
+      "Ġг олов",
+      "Ġгол ов",
+      "Ġk hoa",
+      "Ġkh oa",
+      "Ġkho a",
+      "Ġ ëłĪ",
+      "Ġëł Ī",
+      "ãģ Ĵ",
+      "Ġget ir",
+      "Ġge tir",
+      "ش ت",
+      "ж еннÑı",
+      "жен нÑı",
+      "е нÑĸ",
+      "ен Ñĸ",
+      "Ġgi ữ",
+      "Ġgiá» ¯",
+      "ler inin",
+      "leri nin",
+      "lerin in",
+      "lerini n",
+      "à¥Ģ व",
+      "éģ ¸",
+      "स र",
+      "ĠÑĩ елов",
+      "à¥į à¤ľ",
+      "à¥įठľ",
+      "ĠбÑĥ ло",
+      "Ġ اÙĨد",
+      "Ġا ÙĨد",
+      "ĠاÙĨ د",
+      "ั à¸Ļà¸Ĺ",
+      "ัà¸Ļ à¸Ĺ",
+      "è® ©",
+      "Ġq uyá»ģn",
+      "Ġquy á»ģn",
+      "ĠØŃ Ø§ÙĦ",
+      "ì² ĺ",
+      "Ġ лÑİд",
+      "ĠлÑİ Ð´",
+      "Ïģ Ïĩ",
+      "алÑĮ но",
+      "ãĢĢ ãĥ½",
+      "ê¸ ī",
+      "ãĤ ±",
+      "ĠÙħ رد",
+      "ĠÙħر د",
+      "Ġ ông",
+      "Ġô ng",
+      "Ġ اش",
+      "Ġا Ø´",
+      "ĠØ§Ø ´",
+      "大 åѦ",
+      "ì¦ Ī",
+      "æĪ ¦",
+      "e yi",
+      "ey i",
+      "Ġ ÐIJн",
+      "ĠÐIJ н",
+      "ि प",
+      "िठª",
+      "Ġt iêu",
+      "Ġti êu",
+      "Ø´ ÛĮ",
+      "ắ n",
+      "é ŃĶ",
+      "éŃ Ķ",
+      "ãģ¨ ãģĦãģĨ",
+      "ãģ¨ãģĦ ãģĨ",
+      "Ġ ìłĢ",
+      "Ġì łĢ",
+      "Ġìł Ģ",
+      "к ÑĤи",
+      "кÑĤ и",
+      "Ġ ÙħØŃÙħد",
+      "ĠÙħØŃ Ùħد",
+      "Ġ íĨµ",
+      "Ġí Ĩµ",
+      "ĠíĨ µ",
+      "ุ ม",
+      "åį ¡",
+      "о ÑĢов",
+      "оÑĢ ов",
+      "оÑĢо в",
+      "к оÑİ",
+      "ко Ñİ",
+      "Ġl á»±c",
+      "å³ ¶",
+      "Ġ رÙĪز",
+      "Ġر ÙĪز",
+      "ĠرÙĪ ز",
+      "Ñħ Ñĸд",
+      "Ġh á»ĵ",
+      "Ġhá» ĵ",
+      "Ġ ül",
+      "Ġü l",
+      "Ġ Ø´Ùħ",
+      "ĠØ´ Ùħ",
+      "ÙĨ س",
+      "ب ÙĪ",
+      "Ġth êm",
+      "ạ c",
+      "åº ľ",
+      "e chn",
+      "ec hn",
+      "ech n",
+      "Ġ Îļα",
+      "ĠÎļ α",
+      "èij Ĺ",
+      "çľ ¼",
+      "á h",
+      "Ġ ι",
+      "ĠÎ ¹",
+      "ê¹Į ì§Ģ",
+      "m az",
+      "ma z",
+      "λο γ",
+      "Ġjs me",
+      "Ġ á¼",
+      "Ġá ¼",
+      "Ġп ÑĢави",
+      "ĠпÑĢ ави",
+      "ĠпÑĢав и",
+      "ĠпÑĢа ви",
+      "к лад",
+      "Ġth ủ",
+      "Ġthá» §",
+      "s ah",
+      "sa h",
+      "ÄŁ it",
+      "ÄŁi t",
+      "Ġ ÙģÛĮ",
+      "ĠÙģ ÛĮ",
+      "ен но",
+      "à¥ģ à¤Ľ",
+      "à¥ģठĽ",
+      "ãģ »",
+      "çĻ ¾",
+      "и ÑĤа",
+      "иÑĤ а",
+      "ĠбÑĭ ло",
+      "ĠбÑĭл о",
+      "Ġv ys",
+      "Ġvy s",
+      "Ġ ì¶ľ",
+      "Ġì¶ ľ",
+      "ắ ng",
+      "ắn g",
+      "ĠÄij ại",
+      "ĠÙħ ÙĪرد",
+      "ĠÙħÙĪ رد",
+      "ĠÙħÙĪر د",
+      "е ла",
+      "ел а",
+      "Ñĸ ÑĪ",
+      "л еннÑı",
+      "лен нÑı",
+      "æ IJ",
+      "Ġ нед",
+      "Ġн ед",
+      "Ġне д",
+      "i yat",
+      "iy at",
+      "iya t",
+      "ì ¼",
+      "Ġol duÄŁunu",
+      "ĠolduÄŁ unu",
+      "ĠolduÄŁu nu",
+      "د اÙĨ",
+      "دا ÙĨ",
+      "í Ŀ",
+      "Ġ سÛĮ",
+      "Ġس ÛĮ",
+      "ี à¸ģ",
+      "ÄĽ st",
+      "ım ı",
+      "ä¸ī ä¸ī",
+      "ãĤ ½",
+      "ĠÑĤ еп",
+      "ĠÑĤе п",
+      "Ġ ÑĢай",
+      "ĠÑĢ ай",
+      "ĠÑĢаР¹",
+      "ĠÑĢа й",
+      "ा ध",
+      "ाठ§",
+      "Ġ ìĤ¬ëŀĮ",
+      "ĠìĤ¬ ëŀĮ",
+      "ĠT rung",
+      "ĠTr ung",
+      "ĠTru ng",
+      "ï¼ı ï¼ı",
+      "Ġt âm",
+      "Å¡ enÃŃ",
+      "Å¡e nÃŃ",
+      "Å¡en ÃŃ",
+      "ãĥ į",
+      "Ġ ÏĦοÏħÏĤ",
+      "ĠÏĦ οÏħÏĤ",
+      "ĠÏĦοÏħ ÏĤ",
+      "Ġ нÑĸ",
+      "Ġн Ñĸ",
+      "в ид",
+      "ви д",
+      "æ ¿",
+      "Ġ ظ",
+      "ĠØ ¸",
+      "ãĥ ¯",
+      "ì ¢ħ",
+      "ì¢ ħ",
+      "в аÑĤи",
+      "ва ÑĤи",
+      "ваÑĤ и",
+      "Ġqu á",
+      "ภ¤",
+      "ĠÄij Æ°á»Ŀng",
+      "à¥ģ द",
+      "à¥ģठ¦",
+      "r oj",
+      "ro j",
+      "Ġ ÑĥÑģ",
+      "ĠÑĥ Ñģ",
+      "é¦ Ļ",
+      "ì½ ĺ",
+      "Ġ ÙĪت",
+      "ĠÙĪ ت",
+      "ม าà¸ģ",
+      "มา à¸ģ",
+      "åĪ ĩ",
+      "Ġ án",
+      "Ġá n",
+      "Ġм ед",
+      "ìĹIJ ëĬĶ",
+      "Ġh lav",
+      "Ġhl av",
+      "ر ت",
+      "à¹ĥ à¸Ī",
+      "æ´ ²",
+      "Ġ лÑĸ",
+      "Ġл Ñĸ",
+      "æ Īĺ",
+      "æĪ ĺ",
+      "ÙĪ ÙĨد",
+      "ÙĪÙĨ د",
+      "è¶ ³",
+      "åĭ Ļ",
+      "çĶ ³",
+      "Ġ ì±",
+      "Ġì ±",
+      "ĠìĿ´ëıĻ íķ©ëĭĪëĭ¤",
+      "Ñī еÑģÑĤв",
+      "Ñīе ÑģÑĤв",
+      "Ġ ë¶Ī",
+      "Ġë ¶Ī",
+      "Ġë¶ Ī",
+      "ÙĦ ÙĪ",
+      "ü ven",
+      "èĪ ĩ",
+      "Ġgi Ỽi",
+      "Ġgiá» Ľi",
+      "Ġ ÙĪÙĤ",
+      "ĠÙĪ ÙĤ",
+      "Ġê°¤ ë¡ľê·¸",
+      "Ġ عاÙħ",
+      "Ġع اÙħ",
+      "ĺ IJ",
+      ": ::::",
+      ":: :::",
+      ":::: :",
+      "::: ::",
+      "Ġ Ñĥд",
+      "ĠÑĥ д",
+      "- ÑĤо",
+      "-ÑĤ о",
+      "Ġ ÑĦоÑĢ",
+      "ĠÑĦ оÑĢ",
+      "и ни",
+      "ин и",
+      "ãģĹ ãģĦ",
+      "ãģĹãģ Ħ",
+      "Ġê°¤ë¡ľê·¸ ë¡ľ",
+      "ãģ ³",
+      "ãĥ© ãĤ¤",
+      "e ná",
+      "en á",
+      "Ġ nez",
+      "Ġn ez",
+      "Ġne z",
+      "Ġönem li",
+      "Ġ ниÑħ",
+      "Ġн иÑħ",
+      "Ġни Ñħ",
+      "à¤Ĥ स",
+      "Ġà¤īस à¤ķ",
+      "à¥įर द",
+      "Ġn ói",
+      "Ġnó i",
+      "Ùĥ ÙĦ",
+      "ิ ว",
+      "κ ο",
+      "à¥ģ à¤ĸ",
+      "à¥ģठĸ",
+      "ö yle",
+      "öy le",
+      "ά λ",
+      "ó ng",
+      "ón g",
+      "ĠداÙĨ Ø´",
+      "Ġз б",
+      "ì »",
+      "à¸ľ ล",
+      "ëĵ¤ ìĿ´",
+      "Ġe tk",
+      "Ġet k",
+      "ر ات",
+      "را ت",
+      "Ġ εκ",
+      "Ġε κ",
+      "ÑĤ ÑĢа",
+      "ÑĤÑĢ а",
+      "à¥į तर",
+      "à¥įत र",
+      "à¤Ĥ ब",
+      "Ġм ÑĸÑģ",
+      "ĠмÑĸ Ñģ",
+      "æł ¹",
+      "ãĥ Ļ",
+      "Ġt á»ī",
+      "Ġtá» ī",
+      "à¹Ģ à¸ĭ",
+      "à¹Ģภĭ",
+      "ìĪ ł",
+      "ï¼Į ä¸į",
+      "ìĺ ¨",
+      "Ġm ÄĽst",
+      "ĠmÄĽ st",
+      "ģ µ",
+      "a zı",
+      "az ı",
+      "r ada",
+      "ra da",
+      "rad a",
+      "ÏĢ α",
+      "m é",
+      "ÙĨ اÙħÙĩ",
+      "ÙĨا ÙħÙĩ",
+      "ÙĨاÙħ Ùĩ",
+      "ا ÛĮÙĦ",
+      "اÛĮ ÙĦ",
+      "μ η",
+      "l uk",
+      "lu k",
+      "Ùĥ ÙĬ",
+      "Ġ ï¼ī",
+      "Ġï¼ ī",
+      "Ġ деÑĤ",
+      "Ġд еÑĤ",
+      "Ġде ÑĤ",
+      "Ġiç inde",
+      "Ġiçin de",
+      "Ġiçi nde",
+      "Ñı м",
+      "Ġd Æ°á»",
+      "ĠdÆ° á»",
+      "ĠпÑĢед ÑģÑĤав",
+      "ü re",
+      "ür e",
+      "åķ Ĭ",
+      "ĠÑĤ ÑĢÑĥ",
+      "ĠÑĤÑĢ Ñĥ",
+      "es ini",
+      "esi ni",
+      "esin i",
+      "Ġ але",
+      "Ġа ле",
+      "Ġал е",
+      "ãĥ³ ãĥī",
+      "ãĥ³ãĥ ī",
+      "à¥ĥ त",
+      "ε Ïħ",
+      "à¥ģ à¤Ĩ",
+      "à¥ģठĨ",
+      "Ġh iç",
+      "Ġhi ç",
+      "çĶ º",
+      "Ġ Ðĸ",
+      "ĠÐ ĸ",
+      "ç ħ§",
+      "çħ §",
+      "k á",
+      "Ġtr á»įng",
+      "Ġ تش",
+      "Ġت Ø´",
+      "ा श",
+      "ाठ¶",
+      "ĠÙħ Ø«",
+      "e tim",
+      "et im",
+      "eti m",
+      "Ġth ấy",
+      "Ġब ह",
+      "ع ت",
+      "ึ à¹ī",
+      "Ġs ev",
+      "Ġse v",
+      "Ñģ ÑĤа",
+      "ÑģÑĤ а",
+      "Ġc ứ",
+      "Ġt iá»ģn",
+      "Ġti á»ģn",
+      "à¥Ģ à¤ľ",
+      "Ñı г",
+      "ĠоÑĢг ани",
+      "ĠоÑĢган и",
+      "Ġб Ñĭл",
+      "ĠбÑĭ л",
+      "t ür",
+      "tü r",
+      "Ġب ازÛĮ",
+      "Ġبا زÛĮ",
+      "Ġباز ÛĮ",
+      "Ġ ìŀ¬",
+      "Ġìŀ ¬",
+      "व र",
+      "æľīéĻIJ åħ¬åı¸",
+      "k up",
+      "ku p",
+      "Ġ iyi",
+      "Ġi yi",
+      "Ġiy i",
+      "íķĺ ê²Į",
+      "ãĢĢ l",
+      "ãĤ· ãĥ§",
+      "ا رة",
+      "ار ة",
+      "ส ร",
+      "Ġt ÃŃch",
+      "ĠtÃŃ ch",
+      "Ġ каÑĢ",
+      "Ġк аÑĢ",
+      "Ġка ÑĢ",
+      "и б",
+      "ĠвÑĸд повÑĸд",
+      "ĠвÑĸдпов Ñĸд",
+      "Ġpo dle",
+      "Ġpod le",
+      "à¥įर à¤ķ",
+      "i yon",
+      "iy on",
+      "к оном",
+      "ко ном",
+      "кон ом",
+      "Ġ μÎŃ",
+      "Ġμ ÎŃ",
+      "Ġп ÑĢоиз",
+      "ĠпÑĢо из",
+      "Ġ âĢı",
+      "ĠâĢ ı",
+      "m ektedir",
+      "mekte dir",
+      "Ω ÎĿ",
+      "Ġb áo",
+      "à¸Ī ำ",
+      "ëį Ķ",
+      "ë¸ Į",
+      "Ġs ợ",
+      "ÛĮ رÛĮ",
+      "ÛĮر ÛĮ",
+      "о нÑĥ",
+      "он Ñĥ",
+      "ın daki",
+      "ında ki",
+      "ınd aki",
+      "алÑĮ ного",
+      "алÑĮно го",
+      "μ β",
+      "л из",
+      "ли з",
+      "Ġjej ich",
+      "æĸ ½",
+      "ä¾ ¿",
+      "l eÅŁtir",
+      "le ÅŁtir",
+      "leÅŁ tir",
+      "ĠÙĪ Ø£",
+      "Ġस ब",
+      "l erde",
+      "ler de",
+      "Ġ ÚĨÙĩ",
+      "ĠÚĨ Ùĩ",
+      "ÏĦ ÎŃ",
+      "Ġg ì",
+      "Ġ Ãļ",
+      "ĠÃ ļ",
+      "ĠÑĢаÑģ п",
+      "ĠÑĢа Ñģп",
+      "Ġt üm",
+      "à¹Ģ à¸ĩ",
+      "à¹Ģภĩ",
+      "èIJ ½",
+      "ìĨ ¡",
+      "à¹Ħ à¸Ĺย",
+      "m Ä±ÅŁtır",
+      "mÄ±ÅŁ tır",
+      "mÄ±ÅŁtı r",
+      "Ġ ÙĤرار",
+      "ĠÙĤر ار",
+      "Ġ à¸Ħาส",
+      "Ġà¸Ħ าส",
+      "Ġk ıs",
+      "Ġkı s",
+      "о ваниÑı",
+      "ов аниÑı",
+      "ова ниÑı",
+      "овани Ñı",
+      "ован иÑı",
+      "ãĤĤ ãģ®",
+      "د اÙħ",
+      "دا Ùħ",
+      "ìľ ¡",
+      "ol oj",
+      "olo j",
+      "ĠпоÑģл е",
+      "ĠпоÑģ ле",
+      "Ġ Так",
+      "ĠТ ак",
+      "ĠТа к",
+      "Ġб олее",
+      "Ġбол ее",
+      "ĠÄij á»ķi",
+      "ĠÄijá»ķ i",
+      "l ak",
+      "la k",
+      "í ħĮ",
+      "íħ Į",
+      "Ġa yn",
+      "Ġay n",
+      "Ñı Ñģ",
+      "Ġп ог",
+      "Ġпо г",
+      "Ġar asında",
+      "Ġaras ında",
+      "Ġara sında",
+      "Ġarası nda",
+      "Ī ¬",
+      "à¥Ĥ ल",
+      "Ġ ανα",
+      "Ġα να",
+      "Ġαν α",
+      "Ġq uyết",
+      "Ġquy ết",
+      "Ġthu á»Ļc",
+      "Ġd ün",
+      "Ġdü n",
+      "Ġp ÅĻes",
+      "ĠpÅĻ es",
+      "ĠpÅĻe s",
+      "ÑĦ Ñĸ",
+      "Ġ å¸",
+      "Ġå ¸",
+      "ا ÙĦÙĬ",
+      "اÙĦ ÙĬ",
+      "Ġп овеÑĢ",
+      "Ġпо веÑĢ",
+      "Ġпов еÑĢ",
+      "Ñĩ ина",
+      "Ñĩи на",
+      "Ñĩин а",
+      "s ko",
+      "sk o",
+      "çµ IJ",
+      "Ø ¡",
+      "Ġ гÑĢа",
+      "Ġг ÑĢа",
+      "ĠгÑĢ а",
+      "о ÑĤи",
+      "оÑĤ и",
+      "Ġqu á»ijc",
+      "ÑĨ Ñĸв",
+      "ÑĨÑĸ в",
+      "l endir",
+      "len dir",
+      "lendi r",
+      "в Ñĸд",
+      "вÑĸ д",
+      "Ġж иÑĤ",
+      "ü yor",
+      "üy or",
+      "ï¼Į ä»ĸ",
+      "lar ında",
+      "ları nda",
+      "ların da",
+      "Ġu yg",
+      "Ġuy g",
+      "Ġtr ÃŃ",
+      "Ġ Ø´ÙĨ",
+      "ĠØ´ ÙĨ",
+      "ا بÙĦ",
+      "اب ÙĦ",
+      "æ· ±",
+      "Âł p",
+      "Ñģ каÑı",
+      "Ñģк аÑı",
+      "Ñģка Ñı",
+      "о ÑĤа",
+      "оÑĤ а",
+      "ÙĪ Ø·",
+      "Ġ اط",
+      "Ġا Ø·",
+      "ĠØ§Ø ·",
+      "ä¾ Ĩ",
+      "Ġз аÑĤ",
+      "Ġза ÑĤ",
+      "Ġ име",
+      "Ġи ме",
+      "Ġим е",
+      "à¹Ģà¸Ĺ ศ",
+      "ëĭ ´",
+      "n ÄĽnÃŃ",
+      "nÄĽ nÃŃ",
+      "nÄĽn ÃŃ",
+      "Ñĥ лÑı",
+      "Ñĥл Ñı",
+      "- п",
+      "å ĺ",
+      "Ġв ип",
+      "Ġви п",
+      "аÑĢа кÑĤ",
+      "à¹Ģ à¸ļ",
+      "à¹Ģภļ",
+      "ç¦ ı",
+      "Ïģ Ïİ",
+      "س Ùĩ",
+      "à¥Į र",
+      "Ġdi ÄŁer",
+      "à¹Ĥ à¸Ķย",
+      "à¹Ĥà¸Ķ ย",
+      "ĠÑģп оÑģоб",
+      "ĠÑģпоÑģ об",
+      "åį ·",
+      "è ĸ",
+      "а нÑĤ",
+      "ан ÑĤ",
+      "Ñİ ÑĤÑĮÑģÑı",
+      "ÑİÑĤÑĮ ÑģÑı",
+      "ĠÑį ÑĤом",
+      "ĠÑįÑĤ ом",
+      "ĠÑįÑĤо м",
+      "Ġ ï½Ģ",
+      "Ġï½ Ģ",
+      "ส าม",
+      "ì m",
+      "ĠÑĪ к",
+      "Ġ à¸Ľà¸£à¸°",
+      "Ġà¸Ľ ระ",
+      "Ġà¸Ľà¸£ ะ",
+      "़ à¥Ģ",
+      "e kl",
+      "ek l",
+      "m uÅŁ",
+      "mu ÅŁ",
+      "ĠÑĤак ож",
+      "ÙĪ سط",
+      "ÙĪس Ø·",
+      "Ġ Äįi",
+      "ĠÄį i",
+      "ี à¸Ļ",
+      "ÛĮ ÙĨÙĩ",
+      "ÛĮÙĨ Ùĩ",
+      "ÄĽ k",
+      "å½ ¼",
+      "le rine",
+      "ler ine",
+      "leri ne",
+      "lerin e",
+      "ĠÄij ất",
+      "à¥ģ à¤ı",
+      "à¥ģठı",
+      "ол оÑģ",
+      "оло Ñģ",
+      "Ġ å°ı",
+      "Ġå° ı",
+      "ز ÙĬØ©",
+      "زÙĬ Ø©",
+      "Ġв ла",
+      "à¥Ģ ल",
+      "Ġ etti",
+      "Ġe tti",
+      "Ġet ti",
+      "Ġett i",
+      "ĠÑģ оÑģÑĤав",
+      "ĠÑģо ÑģÑĤав",
+      "ĠÑģоÑģÑĤ ав",
+      "ÙĦ اÙĦ",
+      "ÙĦا ÙĦ",
+      "Ġ çİ",
+      "Ġç İ",
+      "ĠpÅĻÃŃ pad",
+      "ëŁ °",
+      "ุ à¸ģ",
+      "Ġ Ñĩи",
+      "ĠÑĩ и",
+      "å ħį",
+      "åħ į",
+      "n ÄĽjÅ¡ÃŃ",
+      "nÄĽ jÅ¡ÃŃ",
+      "ิ ล",
+      "åį Ģ",
+      "s kých",
+      "sk ých",
+      "ský ch",
+      "า ศ",
+      "าภ¨",
+      "åIJ Ĺ",
+      "Ġ íĺĦ",
+      "Ġíĺ Ħ",
+      "Ġal ın",
+      "å§ Ķ",
+      "à¸ŀ ร",
+      "až d",
+      "Ġб ÑĸлÑĮ",
+      "ĠбÑĸ лÑĮ",
+      "ĠбÑĸл ÑĮ",
+      "à¹Ī วà¸Ļ",
+      "à¹Īว à¸Ļ",
+      "o og",
+      "oo g",
+      "a cı",
+      "ac ı",
+      "l ıģ",
+      "lı ģ",
+      "Ġk hu",
+      "Ġkh u",
+      "Ġh izmet",
+      "Ġ éĽ",
+      "Ġé Ľ",
+      "Ġ Îĺ",
+      "ĠÎ ĺ",
+      "Ġde ÄŁer",
+      "ĠdeÄŁ er",
+      "åħ Ń",
+      "Ġ دÙĩ",
+      "Ġد Ùĩ",
+      "Ġn ÄĽk",
+      "ĠnÄĽ k",
+      "à¸Ħ à¸Ļ",
+      "е ÑĤÑĮ",
+      "еÑĤ ÑĮ",
+      "ب اÙĨ",
+      "با ÙĨ",
+      "ÏĦ ική",
+      "ÏĦικ ή",
+      "ÏĦι κή",
+      "ĠÄij á»ĭa",
+      "ĠÄijá»ĭ a",
+      "Ġ Công",
+      "ĠC ông",
+      "íĮ IJ",
+      "Ġк огда",
+      "ĠÚ© ÙĨد",
+      "ĠÚ©ÙĨ د",
+      "ãģ§ ãģį",
+      "ĠÏĢ εÏģι",
+      "ĠÏĢεÏģ ι",
+      "ĠÏĢε Ïģι",
+      "lar dan",
+      "larda n",
+      "Ġ зем",
+      "Ġз ем",
+      "ت ÙĪاÙĨ",
+      "تÙĪ اÙĨ",
+      "è³ ĩ",
+      "li kle",
+      "lik le",
+      "Ġt ụ",
+      "Ġtá» ¥",
+      "Ġd ẫn",
+      "Ġn ay",
+      "Ġna y",
+      "Ġ ÑģÑĤоÑĢ",
+      "ĠÑģ ÑĤоÑĢ",
+      "ĠÑģÑĤ оÑĢ",
+      "ĠÑģÑĤо ÑĢ",
+      "ĠØ´ Ùħا",
+      "ĠØ´Ùħ ا",
+      "ث ر",
+      "Ġd edi",
+      "Ġde di",
+      "Ġded i",
+      "к ое",
+      "ко е",
+      "ë ijIJ",
+      "ëij IJ",
+      "ÑĨ ев",
+      "ÑĨе в",
+      "ج Ùĩ",
+      "Ġm ůže",
+      "Ġmů že",
+      "Ġmůž e",
+      "à¥ģ प",
+      "à¥ģठª",
+      "à¥įर म",
+      "Ġ taÅŁ",
+      "Ġt aÅŁ",
+      "Ġta ÅŁ",
+      "оÑĢ ÑĤ",
+      "γ Ïģα",
+      "çĻ ¼",
+      "า à¸ļ",
+      "าภļ",
+      "iá» ħn",
+      "iá»ħ n",
+      "ĠÙħ ست",
+      "ĠÙħس ت",
+      "л екÑģ",
+      "ле кÑģ",
+      "лек Ñģ",
+      "Ġ prav",
+      "Ġp rav",
+      "Ġpr av",
+      "Ġpra v",
+      "Ġд оÑģ",
+      "Ġдо Ñģ",
+      "Ġd Ä±ÅŁ",
+      "Ġ zem",
+      "Ġz em",
+      "Ġze m",
+      "Ġg iao",
+      "Ġgi ao",
+      "Ġgia o",
+      "Ġv last",
+      "Ġvl ast",
+      "Ġvlas t",
+      "ĠÑį ÑĤого",
+      "ĠÑįÑĤ ого",
+      "ĠÑįÑĤо го",
+      "ï½ °",
+      "ว à¸ĩ",
+      "ÑĢ ой",
+      "ÑĢо й",
+      "Ġbir lik",
+      "e ný",
+      "en ý",
+      "Ġ ëĭ¨",
+      "Ġëĭ ¨",
+      "ов ани",
+      "ова ни",
+      "ован и",
+      "é£ İ",
+      "íı ī",
+      "Ġz ah",
+      "Ġza h",
+      "б а",
+      "åĬ ©",
+      "éĢ ²",
+      "ê ¶Į",
+      "Ġd iye",
+      "Ġdi ye",
+      "Ġdiy e",
+      "à¤Ĥ à¤ķ",
+      "Ġch uyá»ĥn",
+      "Ġ ìĹŃ",
+      "ĠìĹ Ń",
+      "Ġ ÑĤÑĢи",
+      "ĠÑĤ ÑĢи",
+      "ĠÑĤÑĢ и",
+      "Ġö nce",
+      "Ġön ce",
+      "Ġönc e",
+      "ï¼Į è¿Ļ",
+      "o ại",
+      "л еÑĤ",
+      "ле ÑĤ",
+      "ĠÏĥ Ïħν",
+      "ĠÏĥÏħ ν",
+      "l ád",
+      "lá d",
+      "ç e",
+      "t ü",
+      "Ġ Äįást",
+      "ĠÄį ást",
+      "ĠÄįá st",
+      "Ġ εν",
+      "Ġε ν",
+      "Ġb iá»ĩt",
+      "Ġ é«",
+      "Ġé «",
+      "à¥ĭ à¤ķ",
+      "ÙĦ ات",
+      "ÙĦا ت",
+      "ب اÙĦ",
+      "با ÙĦ",
+      "e cies",
+      "ec ies",
+      "eci es",
+      "Ġ ëĭ¹",
+      "Ġëĭ ¹",
+      "à¸Ĭ à¸Ļ",
+      "ÏĦ αÏĤ",
+      "ÏĦα ÏĤ",
+      "à¥į ण",
+      "à¥įठ£",
+      "u jÃŃcÃŃ",
+      "uj ÃŃcÃŃ",
+      "ujÃŃ cÃŃ",
+      "Äį et",
+      "Äįe t",
+      "Ġп об",
+      "Ġпо б",
+      "ÙĪ ار",
+      "ÙĪا ر",
+      "i yas",
+      "iy as",
+      "iya s",
+      "Ġd ruh",
+      "Ġdr uh",
+      "Ġdru h",
+      "د د",
+      "ÏĮ ν",
+      "ÑĢ ен",
+      "ÑĢе н",
+      "า รà¸ĸ",
+      "าร à¸ĸ",
+      "ä½ İ",
+      "ìķ ½",
+      "ÑĢ оз",
+      "ÑĢо з",
+      "ëĬĶ ëį°",
+      "ãĤĵ ãģª",
+      "Äį enÃŃ",
+      "Äįe nÃŃ",
+      "Äįen ÃŃ",
+      "**** ********",
+      "******** ****",
+      "****** ******",
+      "***** *******",
+      "******* *****",
+      "Ġ Ρ",
+      "ĠÎ ¡",
+      "ĠÑĤ омÑĥ",
+      "ĠÑĤо мÑĥ",
+      "ĠÑĤом Ñĥ",
+      "ร à¸ģ",
+      "à¥ģ स",
+      "à¥ģठ¸",
+      "ä¹ Ŀ",
+      "å°± æĺ¯",
+      "£ i",
+      "éĺ ²",
+      "Ùĥ ر",
+      "ĠÑį ÑĤи",
+      "ĠÑįÑĤ и",
+      "ĠÚ© Ø´ÙĪر",
+      "ĠÚ©Ø´ ÙĪر",
+      "Ġ ê°IJ",
+      "Ġê° IJ",
+      "Ġ ад",
+      "Ġа д",
+      "Ġ داد",
+      "Ġد اد",
+      "éģ İ",
+      "Ù «",
+      "Ġl áºŃp",
+      "Ġ اÙĦÙĩ",
+      "Ġا ÙĦÙĩ",
+      "ĠاÙĦ Ùĩ",
+      "æľ Ľ",
+      "Ġ تÙĩ",
+      "Ġت Ùĩ",
+      "ì§ Ī",
+      "ãģ§ ãģĤãĤĭ",
+      "ãģ§ãģĤ ãĤĭ",
+      "Ġ меж",
+      "Ġм еж",
+      "ĠÑĢ езÑĥлÑĮÑĤ",
+      "ĠÑĢез ÑĥлÑĮÑĤ",
+      "ç į",
+      "е мÑĥ",
+      "ем Ñĥ",
+      "Ġ تÙĪاÙĨ",
+      "Ġت ÙĪاÙĨ",
+      "ĠتÙĪ اÙĨ",
+      "Ġ راÙĩ",
+      "Ġر اÙĩ",
+      "Ġرا Ùĩ",
+      "ãĥ¼ ãĥł",
+      "ãĥ¼ãĥ ł",
+      "åĦ ¿",
+      "å± ŀ",
+      "б Ñĭ",
+      "á ¿",
+      "à¸Ħ ล",
+      "à¥ĭ à¤Ī",
+      "üt ün",
+      "à¤Ĺ र",
+      "ìķĺ ëĭ¤",
+      "âĪ §",
+      "Ġ ì°¨",
+      "Ġì° ¨",
+      "çµ Ħ",
+      "μα ÏĦα",
+      "ุ à¸Ļ",
+      "Ġ ÑĤом",
+      "ĠÑĤ ом",
+      "ĠÑĤо м",
+      "еÑĢ в",
+      "Îij Σ",
+      "ĠiÅŁ lem",
+      "ع Ùħ",
+      "ë ĥ",
+      "ãĥ Ħ",
+      "ا Ùģت",
+      "اÙģ ت",
+      "åĬ ŀ",
+      "Ġ nes",
+      "Ġn es",
+      "Ġne s",
+      "av aÅŁ",
+      "ava ÅŁ",
+      "ĠÙĨ ÛĮز",
+      "ĠÙĨÛĮ ز",
+      "å¼ º",
+      "Ġ éĻ",
+      "Ġé Ļ",
+      "Ñĸн нÑı",
+      "æ² ³",
+      "á ÅĻ",
+      "æĿ IJ",
+      "ĠØ£ ÙĬ",
+      "Ġ ì¹´",
+      "Ġì¹ ´",
+      "Ġn enÃŃ",
+      "Ġne nÃŃ",
+      "Ġnen ÃŃ",
+      "Ġ ÙĪÙħ",
+      "ĠÙĪ Ùħ",
+      "Ġ Ú©Ùħ",
+      "ĠÚ© Ùħ",
+      "i ếu",
+      "iế u",
+      "Ġ æ°",
+      "Ġæ °",
+      "åĮ »",
+      "Ġz or",
+      "Ġzo r",
+      "ί Ïĥ",
+      "ि ध",
+      "िठ§",
+      "Ġп оказ",
+      "Ġпо каз",
+      "Ġпок аз",
+      "Ġпока з",
+      "ह र",
+      "Ġiç er",
+      "ØŃ Ø©",
+      "ि à¤ĸ",
+      "िठĸ",
+      "а да",
+      "ад а",
+      "تر ÛĮÙĨ",
+      "ترÛĮ ÙĨ",
+      "Ġ bao",
+      "Ġb ao",
+      "Ġba o",
+      "Ġx ã",
+      "à¹Ģ à¸Ħร",
+      "à¹Ģà¸Ħ ร",
+      "Ġngh Ä©",
+      "à¹ģ à¸ļà¸ļ",
+      "à¹ģà¸ļ à¸ļ",
+      "ĠdoÄŁ ru",
+      "ĠdoÄŁr u",
+      "Ñĸ ÑĤи",
+      "ÑĸÑĤ и",
+      "Ġ بÙĬÙĨ",
+      "Ġب ÙĬÙĨ",
+      "ĠبÙĬ ÙĨ",
+      "Ġ леÑĤ",
+      "Ġл еÑĤ",
+      "ا غ",
+      "Ø§Ø º",
+      "ÛĮ Ú©ÛĮ",
+      "ÛĮÚ© ÛĮ",
+      "r áv",
+      "rá v",
+      "à¥į âĢį",
+      "âĢĻ nin",
+      "âĢĻn in",
+      "Ġ ย",
+      "Ġภ¢",
+      "åį Ĭ",
+      "Ġк оли",
+      "Ġкол и",
+      "Ġко ли",
+      "Ġtr ợ",
+      "éĿ Ĵ",
+      "ëŀ Ģ",
+      "Ġ ë¨",
+      "Ġë ¨",
+      "Ġ ÙĪر",
+      "ĠÙĪ ر",
+      "ï¾ Ĭ",
+      "è§ Ĥ",
+      "Ġ пи",
+      "Ġп и",
+      "н Ñĥв",
+      "нÑĥ в",
+      "il mesi",
+      "ilm esi",
+      "س تÙĩ",
+      "ست Ùĩ",
+      "Ġд еÑĢжав",
+      "ĠдеÑĢж ав",
+      "å® ĥ",
+      "åĪ ¥",
+      "ëħ Ģ",
+      "л ÑģÑı",
+      "à¤Ĥ ध",
+      "Ġ ÑĤи",
+      "ĠÑĤ и",
+      "ĠpÅĻ ip",
+      "ĠpÅĻi p",
+      "п и",
+      "á» ĵn",
+      "á»ĵ n",
+      "о ваÑĤÑĮ",
+      "ов аÑĤÑĮ",
+      "ова ÑĤÑĮ",
+      "ìĿ´ ëĿ¼",
+      "æľ Ŀ",
+      "Ġ ëĺIJ",
+      "Ġë ĺIJ",
+      "Ġëĺ IJ",
+      "ĠÎŃ Î½Î±",
+      "ĠÎŃν α",
+      "ãģ¾ ãģ§",
+      "ج اÙħ",
+      "جا Ùħ",
+      "Ġ ëĬ",
+      "Ġë Ĭ",
+      "н Ñĸв",
+      "нÑĸ в",
+      "ÏĢ οÏħ",
+      "ÏĢο Ïħ",
+      "Ġ زÙħاÙĨ",
+      "Ġز ÙħاÙĨ",
+      "ĠزÙħ اÙĨ",
+      "æĽ ²",
+      "Ġ ÙħÙĩ",
+      "ĠÙħ Ùĩ",
+      "ëł ¨",
+      "ä¸ ĥ",
+      "ãģ¨ ãģĹãģ¦",
+      "l abilir",
+      "la bilir",
+      "lab ilir",
+      "о же",
+      "ож е",
+      "å¤ ľ",
+      "ĠнÑĥж но",
+      "å½ ©",
+      "çĪ ±",
+      "Ġho Ãłn",
+      "ün ü",
+      "Ġ ëĦ¤",
+      "ĠëĦ ¤",
+      "Ġ جÙĨ",
+      "Ġج ÙĨ",
+      "Ġn ÄĽj",
+      "ĠnÄĽ j",
+      "к ими",
+      "ки ми",
+      "ким и",
+      "Ġa ynı",
+      "Ġayn ı",
+      "Ġ ÙĥÙĦ",
+      "ĠÙĥ ÙĦ",
+      "Ġnh au",
+      "Ạ³",
+      "ÙĬ ات",
+      "ÙĬا ت",
+      "Ġm ezi",
+      "Ġme zi",
+      "Ġmez i",
+      "Ġ ÑĢек",
+      "ĠÑĢ ек",
+      "ĠÑĢе к",
+      "Ġ tür",
+      "Ġt ür",
+      "Ġ говоÑĢ",
+      "Ġг овоÑĢ",
+      "Ġfaz la",
+      "åĩ Ĩ",
+      "ÑĪ ий",
+      "ÑĪи й",
+      "ÐŁ ÑĢи",
+      "ÐŁÑĢ и",
+      "ÑĢ оÑģÑĤ",
+      "ÑĢоÑģ ÑĤ",
+      "ÑĢо ÑģÑĤ",
+      "ĠоÑĢг ан",
+      "ĠоÑĢ ган",
+      "n ým",
+      "ný m",
+      "Ġ ÑĢод",
+      "ĠÑĢ од",
+      "Ġ ÙĪÛĮ",
+      "ĠÙĪ ÛĮ",
+      "ic ký",
+      "ick ý",
+      "ë¦ ¼",
+      "ï½ ²",
+      "æĢ İ",
+      "ĠÙĩ ذا",
+      "ĠÑĩ аÑģÑĤи",
+      "ĠÑĩа ÑģÑĤи",
+      "ĠÑĩаÑģ ÑĤи",
+      "ĠÑĩаÑģÑĤ и",
+      "ÃŃ r",
+      "á»ĩ nh",
+      "á»ĩn h",
+      "Ġ íĹ",
+      "Ġí Ĺ",
+      "ê »",
+      "lu ž",
+      "ÃŃ l",
+      "c ÃŃch",
+      "cÃŃ ch",
+      "å® Ł",
+      "ãģł ãģ£ãģŁ",
+      "ÙĬ رة",
+      "ÙĬر Ø©",
+      "Ġv Äĥn",
+      "æ¸ ¯",
+      "Ġ ÏĦιÏĤ",
+      "ĠÏĦι ÏĤ",
+      "ا رت",
+      "ار ت",
+      "Ġv ấn",
+      "âĶģâĶģ âĶģâĶģ",
+      "å¯ ¾",
+      "Ïģ ÎŃ",
+      "Ġг одÑĥ",
+      "Ġгод Ñĥ",
+      "Ġ سب",
+      "Ġس ب",
+      "ا رات",
+      "ار ات",
+      "ارا ت",
+      "е лей",
+      "ел ей",
+      "еле й",
+      "Ġз аÑħ",
+      "Ġза Ñħ",
+      "Ġ важ",
+      "Ġв аж",
+      "Ġва ж",
+      "Ġt á»īnh",
+      "Ġtá» īnh",
+      "Ġtá»ī nh",
+      "ا بع",
+      "اب ع",
+      "Ġ à¤ľà¤¬",
+      "Ġà¤ľ ब",
+      "Ġà¤IJ स",
+      "Ġ дÑĥ",
+      "Ġд Ñĥ",
+      "Ġ é«ĺ",
+      "Ġé «ĺ",
+      "Ġé« ĺ",
+      "ê² ł",
+      "н ее",
+      "не е",
+      "ï½ Į",
+      "Ġм ал",
+      "Ġма л",
+      "è¾ ¹",
+      "ãģł ãģij",
+      "à¹ī ร",
+      "ÙĤ Ø·",
+      "Ġb ên",
+      "Ġs eb",
+      "Ġse b",
+      "ĠØ® ÙĪاÙĩ",
+      "ĠØ®ÙĪ اÙĩ",
+      "s iz",
+      "si z",
+      "Ġol ur",
+      "Ġ ëĶ°",
+      "ĠëĶ °",
+      "Ġ ì¢ĭ",
+      "Ġì¢ ĭ",
+      "Ġs vÄĽt",
+      "Ġsv ÄĽt",
+      "ĠsvÄĽ t",
+      "ic ká",
+      "ick á",
+      "á» ¹",
+      "Ġqu ản",
+      "Ġquả n",
+      "Ġ иÑģ",
+      "Ġи Ñģ",
+      "Ġz aÄį",
+      "Ġza Äį",
+      "ื à¸Ńà¸Ļ",
+      "ืà¸Ń à¸Ļ",
+      "ÑĶ Ñİ",
+      "ि ष",
+      "िठ·",
+      "ç Ĭ¶",
+      "çĬ ¶",
+      "Ïĥ μ",
+      "ั ส",
+      "ó c",
+      "Ġ беÑĢ",
+      "Ġб еÑĢ",
+      "Ġ íĿ",
+      "Ġí Ŀ",
+      ";: ;:",
+      "Ġ پس",
+      "ĠÙ¾ س",
+      "Ġ ëijIJ",
+      "Ġë ijIJ",
+      "Ġëij IJ",
+      "н иÑĩ",
+      "ни Ñĩ",
+      "Ġо ÑĩенÑĮ",
+      "ĠоÑĩ енÑĮ",
+      "ĠìķĦìĿ´ ì½ĺ",
+      "Ġ θα",
+      "Ġθ α",
+      "Ġв ÑģÑĤ",
+      "ĠвÑģ ÑĤ",
+      "ا دة",
+      "اد ة",
+      "Ġdev am",
+      "ื à¸Ńà¸ĩ",
+      "ืà¸Ń à¸ĩ",
+      "ĠлÑİ Ð´Ð¸",
+      "ĠлÑİд и",
+      "ìĺ Ī",
+      "á»± a",
+      "Ñı Ñħ",
+      "âĢĮ اÛĮ",
+      "Ġ سÙĪ",
+      "Ġس ÙĪ",
+      "å° ¼",
+      "Ġth ứ",
+      "Ġthá» ©",
+      "m eye",
+      "me ye",
+      "mey e",
+      "Ġ èµ",
+      "Ġè µ",
+      "èī ¯",
+      "ĠdeÄŁ iÅŁ",
+      "ÑĪ Ñĸ",
+      "Ġtr ợ",
+      "ĠâĢİ #",
+      "çĹ ħ",
+      "ìĽ Į",
+      "Ġk de",
+      "Ġkd e",
+      "Î §",
+      "æ ¤",
+      "ĠÑħ аÑĢакÑĤ",
+      "æ ĩ",
+      "Ġb iến",
+      "Ġbi ến",
+      "ÙĤ ع",
+      "åŁ Ł",
+      "Ġн еп",
+      "Ġне п",
+      "Ġd ů",
+      "Ġп иÑĤ",
+      "Ġпи ÑĤ",
+      "ĠÑĤ ÑĢеб",
+      "ĠÑĤÑĢ еб",
+      "ا زÛĮ",
+      "از ÛĮ",
+      "Ġ طر",
+      "ĠØ· ر",
+      "Ġ ÙħÙĦ",
+      "ĠÙħ ÙĦ",
+      "Ġt ham",
+      "Ġth am",
+      "Ġtha m",
+      "Ġ ÙĪجÙĪد",
+      "ĠÙĪج ÙĪد",
+      "Ġs vé",
+      "Ġsv é",
+      "é§ ħ",
+      "ا ÛĮÙĨ",
+      "اÛĮ ÙĨ",
+      "Ġt iên",
+      "Ġti ên",
+      "s tru",
+      "st ru",
+      "str u",
+      "Ġv áºŃy",
+      "ü ne",
+      "ün e",
+      "Ġ à¹Ģม",
+      "Ġà¹Ģ ม",
+      "Ġà¹Ģภ¡",
+      "Ġr ằng",
+      "а ÑĤÑĥ",
+      "аÑĤ Ñĥ",
+      "äº ij",
+      "н иÑĤ",
+      "ни ÑĤ",
+      "ä¼ Ĭ",
+      "ÙĪ ص",
+      "Ġ éĿ",
+      "Ġé Ŀ",
+      "ĠпÑĢоб лем",
+      "d eki",
+      "de ki",
+      "dek i",
+      "** ************",
+      "******** ******",
+      "****** ********",
+      "******* *******",
+      "************ **",
+      "ò a",
+      "ĠÄijá»ģ u",
+      "ãĤĮ ãģŁ",
+      "ا رس",
+      "ار س",
+      "ãģª ãģı",
+      "ا ÙĤع",
+      "اÙĤ ع",
+      "è» į",
+      "Ùĥ Ùħ",
+      "Äį as",
+      "Ġk ỳ",
+      "Ġká» ³",
+      "Ø´ Ùħ",
+      "à¥ĩ ड",
+      "à¥ĩठ¡",
+      "éĺ ¿",
+      "Ġje jÃŃ",
+      "Ġjej ÃŃ",
+      "Ġ æĻ",
+      "Ġæ Ļ",
+      "Ġ Ä°ÅŁ",
+      "ĠÄ° ÅŁ",
+      "ar dım",
+      "ard ım",
+      "Ġसम य",
+      "Ġ ÐĿо",
+      "ĠÐĿ о",
+      "i lerin",
+      "il erin",
+      "ile rin",
+      "iler in",
+      "ileri n",
+      "Ġع بد",
+      "Ġعب د",
+      "n ÃŃk",
+      "nÃŃ k",
+      "ĠØ´ Ú©ÙĨ",
+      "ĠØ´Ú© ÙĨ",
+      "ิ à¸Ĺย",
+      "ิà¸Ĺ ย",
+      "á» ħ",
+      "ÑĢ ез",
+      "ÑĢе з",
+      "Ġch ứng",
+      "Ġchứ ng",
+      "Ġ :.",
+      "Ġ: .",
+      "Ġ पत",
+      "Ġप त",
+      "Ġž ivot",
+      "Ġživ ot",
+      "å¢ ĥ",
+      "« a",
+      "Ġt rung",
+      "Ġtr ung",
+      "ни кÑĸв",
+      "ник Ñĸв",
+      "ĠاÙĦ ÙħÙĨ",
+      "ĠاÙĦÙħ ÙĨ",
+      "ĠÑĢ аÑģÑģ",
+      "ĠÑĢаÑģ Ñģ",
+      "Ġ жив",
+      "Ġж ив",
+      "Ġз акон",
+      "Ġза кон",
+      "Ġзак он",
+      "Ġзако н",
+      "Ġ 목",
+      "Ġëª ©",
+      "Ġz áv",
+      "Ġzá v",
+      "Ġh akk",
+      "Ġha kk",
+      "Ġhak k",
+      "ä» ¤",
+      "ĠÑı кий",
+      "ĠÑıк ий",
+      "Ġ بÙĬ",
+      "Ġب ÙĬ",
+      "λ ÎŃ",
+      "oc uk",
+      "ocu k",
+      "Ġ Ñİ",
+      "ĠÑ İ",
+      "à¸ģ ว",
+      "Ġ اÙĨÚ¯",
+      "Ġا ÙĨÚ¯",
+      "ĠاÙĨ Ú¯",
+      "à¥ģ à¤Ĥ",
+      "à¥ģठĤ",
+      "Ġ nám",
+      "Ġn ám",
+      "Ġná m",
+      "á»ķ ng",
+      "Ġж ел",
+      "Ġже л",
+      "ĠÄij ặc",
+      "Äį it",
+      "Äįi t",
+      "Ġ ê±´",
+      "Ġê± ´",
+      "Ġب ÛĮØ´",
+      "ĠبÛĮ Ø´",
+      "кÑĢаÑĹ Ð½",
+      "Ġ ÙĪÙĩ",
+      "ĠÙĪ Ùĩ",
+      "н еннÑı",
+      "нен нÑı",
+      "Ġ à¹Ģà¸ŀ",
+      "Ġà¹Ģ à¸ŀ",
+      "Ġà¹Ģภŀ",
+      "о мен",
+      "ом ен",
+      "Ġl ần",
+      "Ġ عÙħÙĦ",
+      "Ġع ÙħÙĦ",
+      "ĠعÙħ ÙĦ",
+      "Ġî ģµ",
+      "Ä ŀ",
+      "ÑĸÑģ лÑı",
+      "Æ° ng",
+      "ा फ",
+      "ाठ«",
+      "à¸Ĺ à¸ĺ",
+      "д ен",
+      "де н",
+      "ĠÑī об",
+      "ĠÑīо б",
+      "Ñĩ ив",
+      "Ñĩи в",
+      "ılı r",
+      "ıl ır",
+      "ا عات",
+      "اع ات",
+      "j ÃŃcÃŃ",
+      "jÃŃ cÃŃ",
+      "ë² ¨",
+      "ÚĨ Ùĩ",
+      "ا رج",
+      "ار ج",
+      "ĠÙ¾ رÙĪ",
+      "Ġپر ÙĪ",
+      "Ġо дин",
+      "Ġод ин",
+      "Ġоди н",
+      "л ин",
+      "ли н",
+      "б Ñĥ",
+      "Ġसर à¤ķ",
+      "åĢ Ļ",
+      "ë¶Ģ íĦ°",
+      "à¥Īà¤Ĥ ,",
+      "å ´",
+      "à¹Ĥ ล",
+      "Ġv Å¡ak",
+      "ĠvÅ¡ ak",
+      "Ġоп ÑĢед",
+      "ì ±",
+      "æ ½",
+      "Ġdá»± ng",
+      "p ráv",
+      "pr áv",
+      "ิ ส",
+      "Ġnh iá»ĩm",
+      "Ġil iÅŁ",
+      "Ġili ÅŁ",
+      "Ġе Ñīе",
+      "Ġje Å¡tÄĽ",
+      "Ġ ÑĢаÑģÑĤ",
+      "ĠÑĢ аÑģÑĤ",
+      "ĠÑĢаÑģ ÑĤ",
+      "ĠÑĢа ÑģÑĤ",
+      "ภ®",
+      "à¤Ĥ à¤Ł",
+      "âĢĮ Ú©",
+      "Ġ بÛĮÙĨ",
+      "Ġب ÛĮÙĨ",
+      "ĠبÛĮ ÙĨ",
+      "o vou",
+      "ov ou",
+      "ovo u",
+      "æĻ ®",
+      "ί εÏĤ",
+      "о ÑĢоÑĪ",
+      "оÑĢ оÑĪ",
+      "оÑĢо ÑĪ",
+      "Ġol mak",
+      "Ġolm ak",
+      "Ġolma k",
+      "Ġst át",
+      "di ÄŁi",
+      "Ġt ình",
+      "Ġ dÄĽ",
+      "Ġd ÄĽ",
+      "ĠÚ¯ رÙģ",
+      "Ġگر Ùģ",
+      "Ïĥ ο",
+      "Ġ ÑĥÑĤ",
+      "ĠÑĥ ÑĤ",
+      "íķĻ êµIJ",
+      "ั à¸IJ",
+      "า à¸Ń",
+      "าภŃ",
+      "ĠÄij ặt",
+      "Ġмог ÑĥÑĤ",
+      "ĠмогÑĥ ÑĤ",
+      "ë° °",
+      "t ik",
+      "ti k",
+      "ª ½",
+      "li ÄŁ",
+      "ÏĢ ε",
+      "Ġ èĢ",
+      "Ġè Ģ",
+      "k ü",
+      "ad ece",
+      "ade ce",
+      "κ ÏĮ",
+      "Ġ дÑĸ",
+      "Ġд Ñĸ",
+      "ầ m",
+      "çĦ¡ ãģĹ",
+      "Û²Û° Û±",
+      "èµ Ľ",
+      "оÑģ Ñĥд",
+      "Ġ ìķĪëĤ´",
+      "ĠìķĪ ëĤ´",
+      "Ġ ÐĶж",
+      "ĠÐĶ ж",
+      "åº §",
+      "ic kých",
+      "ick ých",
+      "ický ch",
+      "Ġ ìłģ",
+      "Ġì łģ",
+      "Ġìł ģ",
+      "à¥ĩ ,",
+      "ov ého",
+      "ové ho",
+      "Ġv ẫn",
+      "Ġbirlik te",
+      "Ġर à¤ĸ",
+      "Ġ ÙĨÙĩ",
+      "ĠÙĨ Ùĩ",
+      "ÙĤ ر",
+      "प र",
+      "e tÃŃ",
+      "et ÃŃ",
+      "Ġ ÑĤÑĭ",
+      "ĠÑĤ Ñĭ",
+      "Ģ ìĿ´",
+      "Ġà¤ħ ल",
+      "Ġм оже",
+      "Ġмож е",
+      "Ġмо же",
+      "ãĤ ´",
+      "Ġs tran",
+      "Ġst ran",
+      "Ġstr an",
+      "Ġstra n",
+      "ط ر",
+      "è¿Ļ 个",
+      "Ġ بع",
+      "Ġب ع",
+      "åĨ Ľ",
+      "ek tir",
+      "ekt ir",
+      "Ġh Æ°á»Ľng",
+      "ÙĨ اÙĨ",
+      "ÙĨا ÙĨ",
+      "Ġठij",
+      "Ġà ¤ij",
+      "ÏĮ ÏĦη",
+      "о Ñģк",
+      "оÑģ к",
+      "åį ĥ",
+      "as ına",
+      "ası na",
+      "Ġ Ø´Ùĩ",
+      "ĠØ´ Ùĩ",
+      "Ġ деÑĢ",
+      "Ġд еÑĢ",
+      "Ġде ÑĢ",
+      "ĠÙħ خت",
+      "ĠÙħØ® ت",
+      "Ġ ØŃÙĤ",
+      "ĠØŃ ÙĤ",
+      "ãĥ ¾",
+      "س اÙĨ",
+      "Ġc ung",
+      "Ġcu ng",
+      "ко ÑĢиÑģÑĤ",
+      "коÑĢ иÑģÑĤ",
+      "ÏĦ ικά",
+      "ÏĦικ ά",
+      "ÏĦι κά",
+      "Ġв она",
+      "Ġво на",
+      "ب ا",
+      "ãģķ ãĤĮãģŁ",
+      "ãģķãĤĮ ãģŁ",
+      "n out",
+      "no ut",
+      "nou t",
+      "Ġ ı",
+      "ĠÄ ±",
+      "è§ ī",
+      "ĠÃ¶ÄŁ ren",
+      "Ġ ì½Ķ",
+      "Ġì ½Ķ",
+      "Ġì½ Ķ",
+      "å¸ ¦",
+      "Ñģ лов",
+      "Ñģл ов",
+      "Ġε ÏĢι",
+      "ĠεÏĢ ι",
+      "ê° IJ",
+      "ĠÙħ رب",
+      "ĠÙħر ب",
+      "ĠÙģÛĮ ÙĦÙħ",
+      "Ġк ÑĢов",
+      "Ġ ëį°",
+      "Ġë į°",
+      "Ġëį °",
+      "ा ण",
+      "ाठ£",
+      "Ġel ekt",
+      "Ġele kt",
+      "Ġelek t",
+      "Ġ наÑĢод",
+      "Ġн аÑĢод",
+      "Ġна ÑĢод",
+      "ĠнаÑĢ од",
+      "ÛĮ دÙĩ",
+      "ÛĮد Ùĩ",
+      "ç´ Ħ",
+      "Ġп ÑĢоÑĦ",
+      "ĠпÑĢ оÑĦ",
+      "ĠпÑĢо ÑĦ",
+      "Ïģ οÏĤ",
+      "Ïģο ÏĤ",
+      "Ġ ãħ",
+      "ä¸į æĺ¯",
+      "Ġ à¤ľà¤¨",
+      "Ġà¤ľ न",
+      "ั ล",
+      "Ġص ÙĪرت",
+      "ĠصÙĪر ت",
+      "ãĥ ľ",
+      "Ġà¤Ĺ à¤Ī",
+      "ÄŁi tim",
+      "ÄŁit im",
+      "ÑģÑĮ киÑħ",
+      "ÑģÑĮк иÑħ",
+      "Ġ лег",
+      "Ġл ег",
+      "Ġت ÙĪÙĦ",
+      "ĠتÙĪ ÙĦ",
+      "Ġ ìļ´",
+      "Ġìļ ´",
+      "ع ر",
+      "Ġm Ãłu",
+      "ĠmÃł u",
+      "г ов",
+      "го в",
+      "æ³ ¢",
+      "in deki",
+      "ind eki",
+      "inde ki",
+      "ìłģ ìĿ¸",
+      "ấ m",
+      "Ġ íĻķ",
+      "ĠíĻ ķ",
+      "Ġب اÛĮد",
+      "Ġبا ÛĮد",
+      "ĠباÛĮ د",
+      "à¹Į à¸Ĺ",
+      "Ġk endi",
+      "Ġken di",
+      "Ġkend i",
+      "ี ว",
+      "ิ à¸ģาร",
+      "ิà¸ģ าร",
+      "ิà¸ģา ร",
+      "ĠÚ© ردÙĩ",
+      "Ġکرد Ùĩ",
+      "Ġکر دÙĩ",
+      "å· ´",
+      "ठģ",
+      "ร าà¸Ĭ",
+      "à¥į श",
+      "à¥įठ¶",
+      "Ġ ÐĶлÑı",
+      "ĠÐĶ лÑı",
+      "å¥ ĩ",
+      "ĠÑĥ ÑģÑĤанов",
+      "ĠÑĥÑģÑĤ анов",
+      "ĠÑĥÑģÑĤан ов",
+      "й ÑĤе",
+      "ãĤ ĩ",
+      "ά Ïģ",
+      "Ġ Ю",
+      "ĠÐ ®",
+      "Ġlu áºŃt",
+      "ãĢ ī",
+      "è´ ¨",
+      "د ا",
+      "Ġdü zen",
+      "Ġdüz en",
+      "ส à¸Ļ",
+      "ÑĢ он",
+      "ÑĢо н",
+      "d ıģı",
+      "dı ģı",
+      "dıģ ı",
+      "âĢĻ da",
+      "âĢĻd a",
+      "Ġfark lı",
+      "Ñħ ов",
+      "Ñħо в",
+      "l án",
+      "lá n",
+      "Ñĩ аÑģ",
+      "Ñĩа Ñģ",
+      "Ñĩ ин",
+      "Ñĩи н",
+      "Ġ ì°¸",
+      "Ġì° ¸",
+      "ì ´Ī",
+      "ì´ Ī",
+      "ÑĨ ип",
+      "ÑĨи п",
+      "ç ¹",
+      "éĸ Ģ",
+      "ж а",
+      "ÑĢ ован",
+      "ÑĢов ан",
+      "ÑĢо ван",
+      "ÑĢова н",
+      "à¸ĵ ะ",
+      "ÙĦÙĬ زÙĬØ©",
+      "Ïĩ ει",
+      "Ïĩε ι",
+      "à¥Ī .",
+      "к Ñģп",
+      "кÑģ п",
+      "ا ÙĪر",
+      "اÙĪ ر",
+      "Ġng uyên",
+      "Ġnguy ên",
+      "ãģ« ãĤĪ",
+      "à¥ĩ म",
+      "à¥ĩठ®",
+      "Ïĥ ÏĦε",
+      "ÏĥÏĦ ε",
+      "ت ÙĪ",
+      "Äį ek",
+      "Äįe k",
+      "ÑĨ Ñĭ",
+      "Ġ 물",
+      "Ġë¬ ¼",
+      "Ñį ÑĤ",
+      "Ġka zan",
+      "Ġkaz an",
+      "Ùģ س",
+      "e hir",
+      "eh ir",
+      "в ÑĸÑĤ",
+      "вÑĸ ÑĤ",
+      "Ġد ÙĪÙĦ",
+      "ĠدÙĪ ÙĦ",
+      "Ġ ëĵľ",
+      "Ġëĵ ľ",
+      "Ġà¤ļ ल",
+      "е ÑģÑĤва",
+      "еÑģÑĤв а",
+      "еÑģÑĤ ва",
+      "δ α",
+      "Ġб Ñĥв",
+      "ĠбÑĥ в",
+      "Ġ ÐĿе",
+      "ĠÐĿ е",
+      "ØŃ Ø±",
+      "огÑĢа ÑĦ",
+      "Ġroz hod",
+      "Ġrozh od",
+      "Ġви коÑĢиÑģÑĤ",
+      "Ġвико ÑĢиÑģÑĤ",
+      "Ġy êu",
+      "λ οÏĤ",
+      "λο ÏĤ",
+      "ک س",
+      "Ġ شب",
+      "ĠØ´ ب",
+      "ิ ษ",
+      "æ¯ į",
+      "Ġд оÑĢ",
+      "Ġдо ÑĢ",
+      "Ġngh á»ĩ",
+      "Ġt rang",
+      "Ġtr ang",
+      "Ġtra ng",
+      "Ġtran g",
+      "à¥ĩ द",
+      "à¥ĩठ¦",
+      "Ġt ìm",
+      "Ñĩ но",
+      "Ġ اÙħا",
+      "Ġا Ùħا",
+      "ĠاÙħ ا",
+      "éģ ĭ",
+      "ک ر",
+      "k é",
+      "Ġ vÄĽt",
+      "Ġv ÄĽt",
+      "ĠvÄĽ t",
+      "Ġн аÑģÑĤ",
+      "Ġна ÑģÑĤ",
+      "ĠнаÑģ ÑĤ",
+      "Ġ æ±",
+      "Ġæ ±",
+      "Ġ åĽ½",
+      "ĠåĽ ½",
+      "Ġgi ảm",
+      "Ġgiả m",
+      "ا دÙĬ",
+      "اد ÙĬ",
+      "ëĤ ľ",
+      "ë¡ ł",
+      "Ġ ､",
+      "Ġï½ ¤",
+      "Ġд енÑĮ",
+      "Ġде нÑĮ",
+      "Ġден ÑĮ",
+      "ÑĨ ÑĸÑİ",
+      "ÑĨÑĸ Ñİ",
+      "Ġh ạn",
+      "Ġhạ n",
+      "ẳ ng",
+      "ẳn g",
+      "λ ή",
+      "e yen",
+      "ey en",
+      "eye n",
+      "ä¸ Ķ",
+      "æŃ ¦",
+      "ĠÑĦ ак",
+      "à¹Ī à¸Ńà¸Ļ",
+      "à¹Īà¸Ń à¸Ļ",
+      "Ġ οι",
+      "Ġο ι",
+      "ز Ùħ",
+      "ãģĹ ãģ¦ãģĦãĤĭ",
+      "ãģĹãģ¦ ãģĦãĤĭ",
+      "ãģĹãģ¦ãģĦ ãĤĭ",
+      "л ива",
+      "ли ва",
+      "лив а",
+      "âĢķ âĢķ",
+      "Ġ öl",
+      "Ġö l",
+      "Ġ à¤ĵ",
+      "Ġठĵ",
+      "Ñģ ÑĤÑĸ",
+      "ÑģÑĤ Ñĸ",
+      "à¸ģ รรม",
+      "à¸ģร รม",
+      "Ġt ục",
+      "Ġtụ c",
+      "Ġgö rün",
+      "Ġgör ün",
+      "ãģĹ ãģ¾",
+      "ãģĹãģ ¾",
+      "Ġ ì¦",
+      "Ġì ¦",
+      "é ¦¬",
+      "é¦ ¬",
+      "Ġмож на",
+      "Ġ Ú©ÙĦ",
+      "ĠÚ© ÙĦ",
+      "Ġ ÑĨенÑĤ",
+      "ĠÑĨ енÑĤ",
+      "ĠÑĨе нÑĤ",
+      "ĠÑĨен ÑĤ",
+      "Ġ ìĻ¸",
+      "ĠìĻ ¸",
+      "Î ĺ",
+      "ç ĩ",
+      "Ġg elen",
+      "Ġge len",
+      "Ġgel en",
+      "Ġgele n",
+      "Ġ اÙĬÙĨ",
+      "Ġا ÙĬÙĨ",
+      "ĠاÙĬ ÙĨ",
+      "ĠØ¢ ب",
+      "Ġà¤Ĩ य",
+      "ัà¸ģ ษ",
+      "Ñģ им",
+      "Ñģи м",
+      "Ġб олÑĮÑĪ",
+      "ĠболÑĮ ÑĪ",
+      "Ġм н",
+      "о ди",
+      "од и",
+      "ĠÄ° l",
+      "Ġ à¤Ĩर",
+      "Ġà¤Ĩ र",
+      "е ÑĤе",
+      "еÑĤ е",
+      "ÑĨ иÑİ",
+      "ÑĨи Ñİ",
+      "áºŃ u",
+      "Ġt iếng",
+      "Ġtiế ng",
+      "Ġtiến g",
+      "ë ¶ģ",
+      "ë¶ ģ",
+      "æ§ ĺ",
+      "Ġн аÑĪ",
+      "Ġна ÑĪ",
+      "ม า",
+      "âĢĻ ın",
+      "âĢĻı n",
+      "ãĥĥ ãĥĹ",
+      "ÙĪ جÙĩ",
+      "ÙĪج Ùĩ",
+      "Ġ ØŃد",
+      "ĠØŃ Ø¯",
+      "á vá",
+      "áv á",
+      "ر ÙĪØ´",
+      "رÙĪ Ø´",
+      "Ġ дейÑģÑĤв",
+      "Ġд ейÑģÑĤв",
+      "ãģ£ ãģ¦ãģĦãĤĭ",
+      "ãģ£ãģ¦ ãģĦãĤĭ",
+      "ãģ£ãģ¦ãģĦ ãĤĭ",
+      "Ïģ ή",
+      "Ġ üst",
+      "Ġü st",
+      "Ġt iết",
+      "Ġti ết",
+      "Ġtiế t",
+      "ac aÄŁ",
+      "aca ÄŁ",
+      "Ġ ÐŁÐ¾",
+      "ĠÐŁ о",
+      "é Ĭ",
+      "ë¨ ¸",
+      "c hod",
+      "ch od",
+      "cho d",
+      "ĠØ¢Ùħ ÙĪز",
+      "ãģŁ ãĤģ",
+      "Ġch uyên",
+      "Ġuy gu",
+      "Ġuyg u",
+      "н ÑĸÑģÑĤ",
+      "нÑĸ ÑģÑĤ",
+      "ë ´",
+      "æİ §",
+      "Ñĥ ÑİÑĤÑĮ",
+      "ÑĥÑİ ÑĤÑĮ",
+      "ÑĥÑİÑĤ ÑĮ",
+      "Äį i",
+      "ãģ ¹",
+      "à¥Ĥ न",
+      "æĹ ©",
+      "ãĥĩ ãĤ£",
+      "è Ĵ",
+      "ĠØ´ خص",
+      "ĠÑħ оÑĤ",
+      "ĠÚ©ÙĨ ÛĮد",
+      "г л",
+      "à¸Ń à¸Ńà¸ģ",
+      "à¸Ńà¸Ń à¸ģ",
+      "éĢ Ļ",
+      "Ġز ÛĮر",
+      "ĠزÛĮ ر",
+      "íķ Ń",
+      "ĠÃĸ z",
+      "åij ³",
+      "ØŃ Ø¯Ø©",
+      "ØŃد Ø©",
+      "Ġk ažd",
+      "Ġ ÑĨвеÑĤ",
+      "ĠÑĨ веÑĤ",
+      "Ġ ç¾",
+      "Ġç ¾",
+      "Ġк ож",
+      "Ġко ж",
+      "Ġ ÐŃÑĤо",
+      "ĠÐŃ ÑĤо",
+      "ÑıÑĤ елÑĮ",
+      "ла ÑģÑĮ",
+      "лаÑģ ÑĮ",
+      "âĢĮ Ø´ÙĪد",
+      "âĢĮØ´ ÙĪد",
+      "μ ι",
+      "Ġ æ²",
+      "Ġæ ²",
+      "Ġs üre",
+      "Ġsü re",
+      "Ġsür e",
+      "ล ะ",
+      "éħ Ĵ",
+      "ึà¸ģ ษ",
+      "λ λά",
+      "λλ ά",
+      "ç ij",
+      "Ġ ìĥĪ",
+      "Ġìĥ Ī",
+      "Ġस ह",
+      "ĠH Ãł",
+      "리 ê³ł",
+      "ص ر",
+      "Ġ æĬķ",
+      "ĠæĬ ķ",
+      "éł Ń",
+      "Ġb á»ĩnh",
+      "ĠìĥĿ ê°ģ",
+      "Ġà¤ħ à¤Ń",
+      "ê³µ ì§Ģ",
+      "ì Ķ",
+      "á» Ŀi",
+      "á»Ŀ i",
+      "ç ŃĶ",
+      "çŃ Ķ",
+      "Ġb Ãłi",
+      "ĠbÃł i",
+      "о дÑĸ",
+      "од Ñĸ",
+      "า à¸Ĥ",
+      "าภĤ",
+      "ни ков",
+      "ник ов",
+      "Ġdön em",
+      "Ġdö nem",
+      "ว ม",
+      "ãĥĨ ãĤ£",
+      "ा रण",
+      "ार ण",
+      "о ги",
+      "ог и",
+      "Ġk iá»ĥm",
+      "Ġki á»ĥm",
+      "о ÑĦ",
+      "äº Ī",
+      "åĨ ³",
+      "ا ÙĦات",
+      "اÙĦ ات",
+      "اÙĦا ت",
+      "Ġn ếu",
+      "Ġ cest",
+      "Ġc est",
+      "Ġce st",
+      "Ġces t",
+      "ز ش",
+      "Ùİ ÙĦ",
+      "Ġت Ø£",
+      "ĠÄij ạo",
+      "Ïį ν",
+      "Ġв нÑĥ",
+      "Ġ جاÙħ",
+      "Ġج اÙħ",
+      "Ġجا Ùħ",
+      "i vnÃŃ",
+      "iv nÃŃ",
+      "Ġìŀ ĪìĬµëĭĪëĭ¤",
+      "ĠìŀĪ ìĬµëĭĪëĭ¤",
+      "Ï Ĭ",
+      "æĦ Ľ",
+      "ãĥ Ľ",
+      "м Ñĸн",
+      "мÑĸ н",
+      "Ġt ÃŃm",
+      "ĠtÃŃ m",
+      "ằ m",
+      "ê· ł",
+      "äº ķ",
+      "Ġx ây",
+      "Ġ ìĽĶ",
+      "ĠìĽ Ķ",
+      "е лен",
+      "ел ен",
+      "еле н",
+      "Ġ à¹Ĥà¸Ķย",
+      "Ġà¹Ĥ à¸Ķย",
+      "ا ÙĦÙĩ",
+      "اÙĦ Ùĩ",
+      "Ġb ất",
+      "á»ĵ m",
+      "âĢĮ Ú¯",
+      "ÙĪ رة",
+      "ÙĪر Ø©",
+      "ب ات",
+      "با ت",
+      "Ġb án",
+      "ẫ u",
+      "اÙĨ ÙĪÙĨ",
+      "اÙĨÙĪ ÙĨ",
+      "Ġzá kon",
+      "á ž",
+      "ì¶ Ķ",
+      "à¹ģ à¸ģ",
+      "ãĤį ãģĨ",
+      "ÑĢ оÑĤ",
+      "ÑĢо ÑĤ",
+      "ç ĵ",
+      "Ġв они",
+      "Ġво ни",
+      "Ġx ác",
+      "Ġ دÛĮگر",
+      "ĠدÛĮ گر",
+      "ÏĢ οι",
+      "ÏĢο ι",
+      "Ġне Ñģк",
+      "ĠнеÑģ к",
+      "ر سÛĮ",
+      "رس ÛĮ",
+      "Ġ ëĿ¼",
+      "Ġë Ŀ¼",
+      "ت ÙĦ",
+      "λ ά",
+      "ĠÑıв лÑıеÑĤÑģÑı",
+      "ä¾ Ŀ",
+      "Ġ åħ¬",
+      "Ġåħ ¬",
+      "Ĺ i",
+      "Ġ íĬ¹",
+      "ĠíĬ ¹",
+      "Ùĥ ÙĪÙĨ",
+      "ÙĥÙĪ ÙĨ",
+      "ắ p",
+      "جÙħ ÙĪع",
+      "ÏĨ οÏģ",
+      "ÏĨο Ïģ",
+      "е ло",
+      "ел о",
+      "Ġg üven",
+      "Ġgü ven",
+      "Ġм ай",
+      "Ġма й",
+      "ĠÑģ оз",
+      "ĠÑģо з",
+      "à¸ģ ระ",
+      "à¸ģร ะ",
+      "Ġا سÙĦاÙħ",
+      "Ġاس ÙĦاÙħ",
+      "Ġ Ñīе",
+      "ĠÑī е",
+      "Ġs á»ijng",
+      "Ġsá»ij ng",
+      "à¥į ब",
+      "à¥įठ¬",
+      "ک ار",
+      "کا ر",
+      "Ġthu áºŃt",
+      "Ġ nÃŃ",
+      "Ġn ÃŃ",
+      "第 ä¸Ģ",
+      "è¦ ĸ",
+      "à¹Ģà¸ģ ม",
+      "ا ÙĬØ©",
+      "اÙĬ Ø©",
+      "Ġ ÎĪ",
+      "ĠÎ Ī",
+      "ãĤ ¶",
+      "ĠÙħ ÙĪÙĤع",
+      "ĠÙħÙĪ ÙĤع",
+      "Ġ åĴ",
+      "Ġå Ĵ",
+      "è¡ ĵ",
+      "Ġ Ðŀд",
+      "ĠÐŀ д",
+      "Ġ ä¸ī",
+      "Ġä¸ ī",
+      "ler inde",
+      "leri nde",
+      "lerin de",
+      "ĠÑģв оÑĹ",
+      "ĠÑģво ÑĹ",
+      "à¥Ģ à¤ı",
+      "Ġth Æ°Æ¡ng",
+      "Ïĥ ÏĦο",
+      "ÏĥÏĦ ο",
+      "Ġ غÙĬر",
+      "Ġغ ÙĬر",
+      "Ġ پر",
+      "ĠÙ¾ ر",
+      "ĠÑģеб е",
+      "Ġв к",
+      "Ġk hai",
+      "Ġkh ai",
+      "ãĤ Ģ",
+      "ĠÙĨ ظر",
+      "ĠÙĨظ ر",
+      "Ġдок Ñĥм",
+      "à¹ĩ à¸ļ",
+      "Ġ íķľêµŃ",
+      "Ġíķľ êµŃ",
+      "ï½ ī",
+      "å·¥ ç¨ĭ",
+      "Ġ ÙĪÙĦ",
+      "ĠÙĪ ÙĦ",
+      "ØŃ ÙĬ",
+      "Ġп ла",
+      "Ġпл а",
+      "Ġ Ä°stanbul",
+      "ĠÄ° stanbul",
+      "âĢĻ de",
+      "âĢĻd e",
+      "а лÑģÑı",
+      "ал ÑģÑı",
+      "ĠØ¢ÙĨ Ùĩا",
+      "Ġ اÙĩ",
+      "Ġا Ùĩ",
+      "Ġ ê´Ģ리",
+      "Ġê´Ģ 리",
+      "Ġ anh",
+      "Ġa nh",
+      "Ġan h",
+      "Å¡ ÃŃm",
+      "Å¡ÃŃ m",
+      "lar la",
+      "ï¼ Ŀ",
+      "n ostÃŃ",
+      "no stÃŃ",
+      "nost ÃŃ",
+      "nos tÃŃ",
+      "ÑģÑĤ ве",
+      "ÑģÑĤв е",
+      "ÛĮ Ùģ",
+      "Ġ گرد",
+      "ĠÚ¯ رد",
+      "Ġگر د",
+      "ãĤĮ ãĤĭ",
+      "Ġv á»±",
+      "Ġvá» ±",
+      "ÄĽ nÃŃ",
+      "ÄĽn ÃŃ",
+      "Ġgö rev",
+      "Ġgör ev",
+      "Ġgöre v",
+      "Ġyıl ında",
+      "Ġyılı nda",
+      "Ġyı lında",
+      "Ġl ợi",
+      "Ġlá» £i",
+      "Ġan lam",
+      "Ġп ÑĢовод",
+      "ĠпÑĢо вод",
+      "ĠпÑĢов од",
+      "ÑĨ Ñİ",
+      "Ġ åī",
+      "Ġå ī",
+      "Ġë§ İ",
+      "ÑĢ аÑģ",
+      "ÑĢа Ñģ",
+      "Ġ Ž",
+      "ĠÅ ½",
+      "Ú© اÙĨ",
+      "کا ÙĨ",
+      "Ð Ļ",
+      "ãģ£ ãģ¨",
+      "ãģ£ãģ ¨",
+      "Ú© ÙĦ",
+      "า ยà¸Ļ",
+      "าย à¸Ļ",
+      "ع اÙĦ",
+      "عا ÙĦ",
+      "Ġ ký",
+      "Ġk ý",
+      "ĠмаÑĤ еÑĢи",
+      "Ġма ÑĤеÑĢи",
+      "ê» ĺ",
+      "ıl ması",
+      "μ ÎŃν",
+      "μÎŃ Î½",
+      "ĠÙĨ ÙħÛĮ",
+      "ĠÙĨÙħ ÛĮ",
+      "Ġcu á»Ļc",
+      "Ġδ εν",
+      "Ġδε ν",
+      "å¹ ²",
+      "＿ ＿＿＿",
+      "＿＿ ＿＿",
+      "＿＿＿ ＿",
+      "à¥Ģ à¤Ł",
+      "Ġçık ar",
+      "Ġçı kar",
+      "Ġkon uÅŁ",
+      "Ġkonu ÅŁ",
+      "иÑĤ елÑĮно",
+      "иÑĤелÑĮ но",
+      "lan tı",
+      "lant ı",
+      "à¹Ħ ล",
+      "å¾ ĭ",
+      "Ġ íĶ¼",
+      "ĠíĶ ¼",
+      "ìĻ ¸",
+      "Ġs áng",
+      "éģ Ķ",
+      "о жд",
+      "ож д",
+      "Ġ آخر",
+      "ĠØ¢ خر",
+      "il ece",
+      "ile ce",
+      "à¥Ī न",
+      "Ġ jedn",
+      "Ġj edn",
+      "Ġje dn",
+      "Ġjed n",
+      "ĠÑģпе ÑĨи",
+      "´ Ŀ",
+      "Ġ Úĺ",
+      "Ġ ãĢĤĊ",
+      "ĠãĢĤ Ċ",
+      "èģ Į",
+      "Ġ ÙĨÛĮ",
+      "ĠÙĨ ÛĮ",
+      "ÑĤ оÑĢа",
+      "ÑĤо ÑĢа",
+      "ÑĤоÑĢ а",
+      "λ ι",
+      "Ġ ÙĪب",
+      "ĠÙĪ ب",
+      "iÅŁ im",
+      "iÅŁi m",
+      "ç» ´",
+      "ãĢĢ i",
+      "Ġm ua",
+      "Ġmu a",
+      "Ġj iž",
+      "Ġji ž",
+      "è¶ Ĭ",
+      "ãĤĴ è¦ĭ",
+      "Ġn á»Ļi",
+      "à¥į à¤Ĺ",
+      "à¥įठĹ",
+      "ç¨ ®",
+      "Ġ ãĢĢãĢĢãĢĢ",
+      "ĠãĢĢ ãĢĢãĢĢ",
+      "ĠãĢĢãĢĢ ãĢĢ",
+      "à¹ĥ หม",
+      "à¹ĥห ม",
+      "Ġ ÎĨ",
+      "ĠÎ Ĩ",
+      "ÙĨ دÛĮ",
+      "ÙĨد ÛĮ",
+      "ĠÑģ Ñĩ",
+      "Ġl á»ĩ",
+      "Ġlá» ĩ",
+      "l ub",
+      "lu b",
+      "еÑĢ ÑĤ",
+      "Ġ اطÙĦ",
+      "Ġا Ø·ÙĦ",
+      "Ġاط ÙĦ",
+      "ĠÑģ еÑĢед",
+      "ĠÑģеÑĢ ед",
+      "Ġ éģ",
+      "Ġé ģ",
+      "Ġз ал",
+      "Ġза л",
+      "ÙĨ ÛĮÙĨ",
+      "ÙĨÛĮ ÙĨ",
+      "çŁ¥ éģĵ",
+      "Ø¢ ÙĨ",
+      "Ġ кап",
+      "Ġк ап",
+      "Ġка п",
+      "Ġ à¹Ħม",
+      "Ġà¹Ħ ม",
+      "ů vod",
+      "ův od",
+      "ĠÙ¾ اÛĮ",
+      "Ġپا ÛĮ",
+      "ÑĤ ÑĢи",
+      "ÑĤÑĢ и",
+      "Ġi ht",
+      "Ġih t",
+      "๠Ĭ",
+      "Ġв ÑģÑĸ",
+      "ĠвÑģ Ñĸ",
+      "Ġt hay",
+      "Ġth ay",
+      "Ġtha y",
+      "å Ĩµ",
+      "åĨ µ",
+      "Ġ عÙĨÙĪاÙĨ",
+      "ĠعÙĨ ÙĪاÙĨ",
+      "Ġ Î¥",
+      "ĠÎ ¥",
+      "ภĿ",
+      "ε ÏĦαι",
+      "εÏĦ αι",
+      "iyor du",
+      "ï¼Į èĢĮ",
+      "çļĦ 人",
+      "Ġ सà¤Ń",
+      "Ġस à¤Ń",
+      "à¹ī à¸Ńย",
+      "à¹īà¸Ń ย",
+      "ι κο",
+      "ικ ο",
+      "ãĤĵ ãģ§",
+      "ì¡ ±",
+      "ÙĨج ÙĦÙĬزÙĬØ©",
+      "Ġž ád",
+      "ÑĢ ави",
+      "ÑĢа ви",
+      "ÑĢав и",
+      "γ γ",
+      "æµ ĭ",
+      "о ÑĨÑĸ",
+      "ãĢĢ ãĢĢĠãĢĢ",
+      "ãĢĢãĢĢ ĠãĢĢ",
+      "ãĢĢãĢĢĠ ãĢĢ",
+      "Ġतर ह",
+      "Ġ ëĨ",
+      "Ġë Ĩ",
+      "à¥Ģ à¤ļ",
+      "à¹Ī ม",
+      "Ġg á»ĵm",
+      "Ġk iá»ĩn",
+      "Ġki á»ĩn",
+      "è· Ł",
+      "Î ¦",
+      "es inin",
+      "esi nin",
+      "esini n",
+      "esin in",
+      "é ¥",
+      "é« Ķ",
+      "о Ñĩно",
+      "оÑĩ но",
+      "र ण",
+      "æĺ ¥",
+      "ç¶ ĵ",
+      "Ġ بار",
+      "Ġب ار",
+      "Ġبا ر",
+      "ê· ¼",
+      "éĻ ħ",
+      "Ġ سÙĬ",
+      "Ġس ÙĬ",
+      "Ñģ ÑĥÑĤ",
+      "ÑģÑĥ ÑĤ",
+      "ì µľ",
+      "å± ħ",
+      "ĠÄį esk",
+      "ĠÄįe sk",
+      "Îij ÎĿ",
+      "Ġd iá»ĩn",
+      "Ġdi á»ĩn",
+      "Ġ εί",
+      "Ġε ί",
+      "à¸ĩ à¸Ĺ",
+      "ãĤ ©",
+      "Ġv á»±c",
+      "Ġvá»± c",
+      "в ав",
+      "ва в",
+      "t ıģı",
+      "tı ģı",
+      "tıģ ı",
+      "Ġ ëªħ",
+      "Ġëª ħ",
+      "η ν",
+      "в иÑĤ",
+      "ви ÑĤ",
+      "Ġ Ø£Ùĥ",
+      "ĠØ£ Ùĥ",
+      "Ġп ÑĢоп",
+      "ĠпÑĢ оп",
+      "ĠпÑĢо п",
+      "r ak",
+      "ra k",
+      "ÑĢ аÑĤи",
+      "ÑĢа ÑĤи",
+      "ÑĢаÑĤ и",
+      "ĠÄij ánh",
+      "ĠÄijá nh",
+      "ÑĢ еп",
+      "ÑĢе п",
+      "ê ´ij",
+      "ê´ ij",
+      "е ÑĨÑĮ",
+      "еÑĨ ÑĮ",
+      "Ġब त",
+      "Ġ åĮĹ",
+      "ĠåĮ Ĺ",
+      "Ġs át",
+      "l edi",
+      "le di",
+      "led i",
+      "ìłģ ìľ¼ë¡ľ",
+      "ů j",
+      "Û° Û°",
+      "Ġnas ıl",
+      "Ġ ÙĪس",
+      "ĠÙĪ س",
+      "Ġ εξ",
+      "Ġε ξ",
+      "в Ñĭ",
+      "ç½ Ĺ",
+      "ارÛĮ Ø®",
+      "à¸Ľ ล",
+      "ί κ",
+      "Ġ ê¸Ī",
+      "Ġê¸ Ī",
+      "åĩ ł",
+      "å¼ ·",
+      "è¿ Ķ",
+      "Ġnh á»ı",
+      "å¾ Ģ",
+      "Ġда же",
+      "Ġç ev",
+      "к Ñĸ",
+      "Ġ Ø£Ùħ",
+      "ĠØ£ Ùħ",
+      "ี ส",
+      "ส ามารà¸ĸ",
+      "สาม ารà¸ĸ",
+      "Ġ ÐĦ",
+      "ĠÐ Ħ",
+      "Ñħод иÑĤ",
+      "ë ĸ",
+      "Ġtr uyá»ģn",
+      "Ġtruy á»ģn",
+      "Ġ ÑģÑĤан",
+      "ĠÑģÑĤ ан",
+      "ĠÑģÑĤа н",
+      "ëĵ¤ ìĿĢ",
+      "ا ÙĦت",
+      "اÙĦ ت",
+      "़ à¥ĩ",
+      "Ġ à¤ħब",
+      "Ġà¤ħ ब",
+      "æķ ¸",
+      "Ġд ÑĸÑı",
+      "ĠдÑĸ Ñı",
+      "ĠÙħ تر",
+      "ĠÙħت ر",
+      "Ġ ë¸",
+      "Ġë ¸",
+      "ï¾ į",
+      "Ġ ê³¼",
+      "Ġê³ ¼",
+      "Ġ زÛĮ",
+      "Ġز ÛĮ",
+      "ëŁ ¼",
+      "Ġ ÐŁÐµÑĢ",
+      "ĠÐŁ еÑĢ",
+      "Ġs ık",
+      "Ġsı k",
+      "н оÑģÑĤÑĮÑİ",
+      "ноÑģÑĤÑĮ Ñİ",
+      "ноÑģÑĤ ÑĮÑİ",
+      "Ġ eden",
+      "Ġe den",
+      "Ġed en",
+      "ا در",
+      "اد ر",
+      "ã Ħ",
+      "Ġ леÑĩ",
+      "Ġл еÑĩ",
+      "ĠÙĩ Ø°Ùĩ",
+      "ض ÙĪع",
+      "ضÙĪ ع",
+      "ĠìķĦ ëĭĪ",
+      "ĠìķĦëĭ Ī",
+      "ir ket",
+      "irk et",
+      "Ġ اگر",
+      "Ġا گر",
+      "ĠÑħ оÑĩ",
+      "Ġб ан",
+      "Ġба н",
+      "íĶ Į",
+      "æĢİ ä¹Ī",
+      "è Ľ",
+      "Ġब à¤ļ",
+      "ĠÚ© تاب",
+      "çī Į",
+      "Ġд ва",
+      "Ġдв а",
+      "ج ر",
+      "Ġп ÑĢоÑģÑĤо",
+      "ĠпÑĢоÑģÑĤ о",
+      "ĠпÑĢоÑģ ÑĤо",
+      "Ġà¤Ĩ व",
+      "Ġm ức",
+      "į ¼",
+      "Ġ jÃŃ",
+      "Ġj ÃŃ",
+      "íİ ĺ",
+      "Ġt amam",
+      "Ġta mam",
+      "Ġtam am",
+      "åĪ Ľ",
+      "ภĴ",
+      "п еÑĩ",
+      "пе Ñĩ",
+      "à¥ĭ स",
+      "Ġ Ñģем",
+      "ĠÑģ ем",
+      "Ġt Æ°Æ¡ng",
+      "ä¸ ģ",
+      "ī ´",
+      "Ġ ÑĢоÑģ",
+      "ĠÑĢ оÑģ",
+      "Ġ маÑĶ",
+      "Ġм аÑĶ",
+      "Ġма ÑĶ",
+      "æŃ Į",
+      "Ġ داÙĨÙĦÙĪد",
+      "ĠداÙĨ ÙĦÙĪد",
+      "ĠL oÃłi",
+      "ĠLo Ãłi",
+      "Ġed ilm",
+      "Ġedi lm",
+      "Ġedil m",
+      "Ġk onu",
+      "Ġko nu",
+      "Ġkon u",
+      "ĠاÙĦ Ùħر",
+      "ĠاÙĦÙħ ر",
+      "Ġu laÅŁ",
+      "Ġul aÅŁ",
+      "Ġyük sek",
+      "ο ι",
+      "Ùİ ÙĨ",
+      "Ġ bÄĽ",
+      "Ġb ÄĽ",
+      "ãĤ·ãĥ§ ãĥ³",
+      "￣ ￣￣￣",
+      "￣￣ ￣￣",
+      "￣￣￣ ￣",
+      "Ġg üç",
+      "Ġgü ç",
+      "Ġ اÙĪÙĦ",
+      "Ġا ÙĪÙĦ",
+      "ĠاÙĪ ÙĦ",
+      "Ġ ма",
+      "Ġм а",
+      "Ġب خش",
+      "Ġبخ Ø´",
+      "ा à¤ĸ",
+      "ाठĸ",
+      "Ġв иÑģ",
+      "Ġви Ñģ",
+      "ž enÃŃ",
+      "že nÃŃ",
+      "žen ÃŃ",
+      "Ġz působ",
+      "Ġzp ůsob",
+      "z nam",
+      "zn am",
+      "Ġ رÙĪÛĮ",
+      "Ġر ÙĪÛĮ",
+      "ĠرÙĪ ÛĮ",
+      "åĭ Ŀ",
+      "। Ċ",
+      "ÙĦ ÙĤ",
+      "Ġж из",
+      "ÑĢ Ñĸв",
+      "ÑĢÑĸ в",
+      "ĠÑĥ пÑĢав",
+      "ĠÑĥп ÑĢав",
+      "Ġph á»ij",
+      "ic ros",
+      "icro s",
+      "Ġ à¹ģà¸ķ",
+      "Ġà¹ģ à¸ķ",
+      "Ġ ë°ķ",
+      "Ġë° ķ",
+      "ÙĪ ات",
+      "ÙĪا ت",
+      "ï¼Į ä¸Ģ",
+      "ан Ñģ",
+      "ç´ ļ",
+      "ย à¸Ļ",
+      "à¹ģ à¸Ĥ",
+      "Ġgi áo",
+      "Ġgiá o",
+      "äºĮ äºĮ",
+      "Ġ Ä°s",
+      "ĠÄ° s",
+      "ìĬ ¹",
+      "Ġo lacak",
+      "Ġol acak",
+      "Ġola cak",
+      "Ġ Các",
+      "ĠC ác",
+      "Ġ ÑĢÑĥб",
+      "ĠÑĢ Ñĥб",
+      "ĠÑĢÑĥ б",
+      "ẹ p",
+      "ÄŁ iniz",
+      "ÄŁini z",
+      "ÄŁin iz",
+      "ãģª ãģ©",
+      "Ġ моÑĢ",
+      "Ġм оÑĢ",
+      "Ġмо ÑĢ",
+      "ĠÑģ дел",
+      "ÙĦ ÙħاÙĨ",
+      "ÙĦÙħ اÙĨ",
+      "n ém",
+      "né m",
+      "å° į",
+      "Ġd ne",
+      "Ġdn e",
+      "ì¶ľ ìŀ¥",
+      "ع ب",
+      ": ::::::",
+      ":: :::::",
+      ":::: :::",
+      ":::::: :",
+      "::: ::::",
+      "::::: ::",
+      "Î Ĵ",
+      "e ket",
+      "ek et",
+      "Ġ ÑĢеÑĪ",
+      "ĠÑĢ еÑĪ",
+      "ĠÑĢе ÑĪ",
+      "è Ī¬",
+      "èĪ ¬",
+      "Ġ íĻĶ",
+      "ĠíĻ Ķ",
+      "ص د",
+      "Ġ маÑĢ",
+      "Ġм аÑĢ",
+      "Ġма ÑĢ",
+      "Ñı ж",
+      "ش ار",
+      "ãģ ²",
+      "Ġ اÙĦÙĬ",
+      "Ġا ÙĦÙĬ",
+      "ĠاÙĦ ÙĬ",
+      "Ù į",
+      "à¤Ĥ à¤ľ",
+      "м Ñĭ",
+      "Ġka rar",
+      "Ġkar ar",
+      "Ġkara r",
+      "ÙĦÛĮ سÛĮ",
+      "ÙĦÛĮس ÛĮ",
+      "า à¸ĵ",
+      "าภĵ",
+      "ç¾ ¤",
+      "Ġol ması",
+      "Ġolm ası",
+      "Ġolma sı",
+      "Ġhaz ır",
+      "γÏģα ÏĨ",
+      "¯ u",
+      "в ол",
+      "во л",
+      "ĠÑģ ÑĤаÑĢ",
+      "ĠÑģÑĤ аÑĢ",
+      "ĠÑģÑĤа ÑĢ",
+      "o vala",
+      "ov ala",
+      "ova la",
+      "oval a",
+      "Ġв озмож",
+      "Ġвоз мож",
+      "Ġ дав",
+      "Ġд ав",
+      "Ġда в",
+      "é¢ ¨",
+      "ر ا",
+      "Ġдоп ом",
+      "ê² ĥ",
+      "Ġ ìĺ¬",
+      "Ġìĺ ¬",
+      "Ġ åİ",
+      "Ġå İ",
+      "Ġ 못",
+      "Ġëª »",
+      "u ç",
+      "í ļ",
+      "l ük",
+      "lü k",
+      "ä¸Ń å¿ĥ",
+      "Ġ दर",
+      "Ġद र",
+      "Ġ âĹĨ",
+      "ĠâĹ Ĩ",
+      "Ġt ay",
+      "Ġta y",
+      "Ġب سÛĮ",
+      "Ġبس ÛĮ",
+      "Ġ ÏĥÏĦα",
+      "ĠÏĥ ÏĦα",
+      "ĠÙħ Ø®",
+      "Ñı Ñī",
+      "å· ®",
+      "ภī",
+      "ëł ¹",
+      "à¹ĥà¸Ļ à¸ģาร",
+      "Ġ ÙĩÙĨ",
+      "ĠÙĩ ÙĨ",
+      "ãģ ¶",
+      "л Ñĸд",
+      "лÑĸ д",
+      "å į°",
+      "åį °",
+      "Ġs ao",
+      "Ġsa o",
+      "ÅĻ ad",
+      "리 ëĬĶ",
+      "Ñģ лед",
+      "Ñģл ед",
+      "åĶ ®",
+      "Ġ |:",
+      "Ġ| :",
+      "æķĻ èĤ²",
+      "Ġм ол",
+      "Ġмо л",
+      "ĠÙĩ ÙĬ",
+      "ë ģ",
+      "Ġ кÑĥлÑĮ",
+      "Ġк ÑĥлÑĮ",
+      "ĠкÑĥ лÑĮ",
+      "' nin",
+      "'n in",
+      "Ġ خر",
+      "ĠØ® ر",
+      "Ġge nel",
+      "Ġgen el",
+      "Ġgene l",
+      "Ġt á»Ń",
+      "Ġtá» Ń",
+      "Ġkur ul",
+      "Ġkuru l",
+      "ен ÑĤи",
+      "енÑĤ и",
+      "à¥ĭ à¤ľà¤¨",
+      "à¥ĭà¤ľ न",
+      "è¿Ļ æł·",
+      "Ġм Ñĸж",
+      "ĠмÑĸ ж",
+      "Ġngh iá»ĩm",
+      "Ġnghiá»ĩ m",
+      "ĠÏĢ ολ",
+      "ĠÏĢο λ",
+      "æĭ Ľ",
+      "Ġà¤Ĺ à¤ı",
+      "ầ y",
+      "Ġc ảm",
+      "Ġcả m",
+      "ç´ °",
+      "rı ca",
+      "Ġ عÙĦÛĮ",
+      "Ġع ÙĦÛĮ",
+      "ĠعÙĦ ÛĮ",
+      "ิ à¹ī",
+      "h ur",
+      "hu r",
+      "Ġch Æ°a",
+      "Ñĥ ÑĶÑĤÑĮÑģÑı",
+      "ÑĥÑĶ ÑĤÑĮÑģÑı",
+      "ãģ© ãģĨ",
+      "Ñĥ л",
+      "ิ ร",
+      "Ġ æľī",
+      "ä¼ ¼",
+      "ÑĦ еÑĢ",
+      "ÑįÑĤ омÑĥ",
+      "æĹ ħ",
+      "ĠÙħ ÙĪج",
+      "ĠÙħÙĪ ج",
+      "Ġ 본",
+      "Ġë³ ¸",
+      "Ġgi á»Ŀ",
+      "Ġgiá» Ŀ",
+      "Ġk iến",
+      "Ġki ến",
+      "à¹Ī วย",
+      "à¹Īว ย",
+      "Ġd üny",
+      "Ġdü ny",
+      "Ġdün y",
+      "Ġ زÙħ",
+      "Ġز Ùħ",
+      "о вÑĸ",
+      "ов Ñĸ",
+      "ĠÑĨ ÑĮого",
+      "ิ à¸ļ",
+      "Ġ ìĨIJ",
+      "ĠìĨ IJ",
+      "èIJ ¥",
+      "Ġ ÑĢÑĸз",
+      "ĠÑĢ Ñĸз",
+      "Ġh á»Ĺ",
+      "Ġhá» Ĺ",
+      "ÑĢ Ñĸб",
+      "ÑĢÑĸ б",
+      "Ġ ãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢ",
+      "ĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠ ãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ìľ¼ ë©°",
+      "äºĨ ä¸Ģ",
+      "ĠÙĤ بÙĦ",
+      "ĠÙĤب ÙĦ",
+      "é¾ Ļ",
+      "Ġ گذ",
+      "ĠÚ¯ Ø°",
+      "Ġ ÙĤد",
+      "ĠÙĤ د",
+      "ãģª ãģĭãģ£ãģŁ",
+      "Ġ à¹Ģร",
+      "Ġà¹Ģ ร",
+      "Ġà¹Ģภ£",
+      "å¸ Į",
+      "ĠÑģ Ñħ",
+      "Ġг ÑĢом",
+      "ĠгÑĢ ом",
+      "ĠгÑĢо м",
+      "åĽ ¢",
+      "Ġ ì§ij",
+      "Ġì§ ij",
+      "Ġ лÑĥÑĩ",
+      "Ġл ÑĥÑĩ",
+      "åħ µ",
+      "Ġ ÐŀÑĤ",
+      "ĠÐŀ ÑĤ",
+      "Ġmu á»ijn",
+      "ãģĺ ãĤĥ",
+      "o vnÃŃ",
+      "ov nÃŃ",
+      "ë©´ ìĦľ",
+      "ë³ Ģ",
+      "Ġн еб",
+      "Ġне б",
+      "Ñģ ии",
+      "Ñģи и",
+      "ÙĨ Ùħ",
+      "ÄŁ in",
+      "ÄŁi n",
+      "Ġt oho",
+      "Ġto ho",
+      "Ġtoh o",
+      "en iz",
+      "eni z",
+      "ب اش",
+      "با ش",
+      "ĠÑģ лÑĥж",
+      "ĠÑģл Ñĥж",
+      "ĠÑģлÑĥ ж",
+      "Ġb ợi",
+      "Ġüzer e",
+      "Ġüz ere",
+      "Ġs adece",
+      "Ġsad ece",
+      "ĠÏĢ αÏģ",
+      "ĠÏĢα Ïģ",
+      "³³³³³³³³ ³³³³³³³³",
+      "³³³³³³³ ³³³³³³³³³",
+      "³³³³³ ³³³³³³³³³³³",
+      "³³³³³³³³³ ³³³³³³³",
+      "³³³³³³³³³³³ ³³³³³",
+      "èĮ ĥ",
+      "ÏĦ ικÏĮ",
+      "ÏĦικ ÏĮ",
+      "ÏĦι κÏĮ",
+      "Ġ äºĮ",
+      "ãĤĪãģĨ ãģ«",
+      "è ŀ",
+      "ãģ® ãģ¯",
+      "Ġ ÑĥкÑĢаÑĹн",
+      "ĠÑĥ кÑĢаÑĹн",
+      "Ġb ắt",
+      "в ан",
+      "ва н",
+      "Ġ ÑģÑĤÑĢа",
+      "ĠÑģ ÑĤÑĢа",
+      "ĠÑģÑĤ ÑĢа",
+      "ĠÑģÑĤÑĢ а",
+      "è¡ Ģ",
+      "nu tÃŃ",
+      "nut ÃŃ",
+      "o kt",
+      "ok t",
+      "รà¸ĩ à¹Ģร",
+      "Ġ صÙģ",
+      "Ġص Ùģ",
+      "åħ ļ",
+      "ÏĦ ί",
+      "ï¼ģ ãĢįĊĊ",
+      "ï¼ģãĢį ĊĊ",
+      "ĠÑĤем п",
+      "ĠÑĤе мп",
+      "é¡ Į",
+      "Ġs luž",
+      "Ġslu ž",
+      "Ñĥ ков",
+      "Ñĥк ов",
+      "Ġngh Ä©a",
+      "ĠnghÄ© a",
+      "çĶ ²",
+      "Ġd á»ħ",
+      "о ви",
+      "ов и",
+      "ÏĦ Ïħ",
+      "ر ÛĮÚ©",
+      "رÛĮ Ú©",
+      "ĠA nh",
+      "ĠAn h",
+      "ĠвÑģ его",
+      "ĠвÑģе го",
+      "âĢĮ Ú©ÙĨ",
+      "âĢĮÚ© ÙĨ",
+      "te ÅĻÃŃ",
+      "Ġm ục",
+      "Ùĩ ÙĨÚ¯",
+      "ÙĩÙĨ Ú¯",
+      "Ġ ÐŁÐ¾Ñģ",
+      "ĠÐŁ оÑģ",
+      "ĠÐŁÐ¾ Ñģ",
+      "Úĺ Ùĩ",
+      "ĠاÙĦ غ",
+      "æĿ ¾",
+      "y sl",
+      "ys l",
+      "Ġyap ılan",
+      "Ġyapı lan",
+      "Ġyapıl an",
+      "çĪ ¶",
+      "Ġm ạnh",
+      "ر اÙĩ",
+      "را Ùĩ",
+      "à¸Ķ à¸ĩ",
+      "o Äį",
+      "ë§ IJ",
+      "åł Ĥ",
+      "м аÑĤ",
+      "ма ÑĤ",
+      "Ġ eÅŁ",
+      "Ġe ÅŁ",
+      "ÙĪÙħ ات",
+      "Ġس اخت",
+      "åĽł 为",
+      "Ġп ÑĢий",
+      "ĠпÑĢ ий",
+      "ĠпÑĢи й",
+      "ıl mÄ±ÅŁ",
+      "é¤ ¨",
+      "ุ à¸ĩ",
+      "Ġ ëģ",
+      "Ġë ģ",
+      "à¸ķ าม",
+      "à¸ķา ม",
+      "åIJ ī",
+      "μ ή",
+      "Ġ æľ¬",
+      "Ġzá klad",
+      "ت ØŃ",
+      "è¾ ¼",
+      "Ġв Ñĸй",
+      "ĠвÑĸ й",
+      "ĠÙħÙĨ Ø·",
+      "Ġto án",
+      "к аÑĢ",
+      "ка ÑĢ",
+      "Ġ ÐĹа",
+      "ĠÐĹ Ð°",
+      "ĠпÑĢи мен",
+      "ĠпÑĢим ен",
+      "ãĤĭ ãģ¨",
+      "ั à¸Ĺ",
+      "ÛĮ س",
+      "ĠاÙĨ جاÙħ",
+      "ĠاÙĨج اÙħ",
+      "Ġع ÙĦÙĬ",
+      "ĠعÙĦ ÙĬ",
+      "़ ि",
+      "e ných",
+      "en ých",
+      "ený ch",
+      "ĠL iên",
+      "ĠLi ên",
+      "Ġ па",
+      "Ġп а",
+      "éļ Ĭ",
+      "Ġmo hou",
+      "Ġmoh ou",
+      "Ġк ÑĸлÑĮ",
+      "Ġ Το",
+      "ĠΤ ο",
+      "ا ÙĦب",
+      "اÙĦ ب",
+      "ÎŃ Î½",
+      "Ġna bÃŃ",
+      "Ġnab ÃŃ",
+      "ç i",
+      "ler den",
+      "lerde n",
+      "Ġth anh",
+      "Ġthan h",
+      "Ġtha nh",
+      "Ġb ütün",
+      "Ġ åŁ",
+      "Ġå Ł",
+      "ì¸ ł",
+      "Ġz at",
+      "Ġza t",
+      "ÙĬ ÙĪ",
+      "Ġμ ια",
+      "uy ết",
+      "Ñij н",
+      "åĪ Ĵ",
+      "ли во",
+      "лив о",
+      "à¹Ī à¸Ńà¸ĩ",
+      "à¹Īà¸Ń à¸ĩ",
+      "ä»ĸ 们",
+      "Ġб аг",
+      "Ġба г",
+      "ि à¤Ń",
+      "िठŃ",
+      "ĠÑĤ ам",
+      "ĠÑĤа м",
+      "Ġп ÑĢеп",
+      "ĠпÑĢ еп",
+      "ĠпÑĢе п",
+      "ิ à¸Ĭ",
+      "âĢĻ Ñıз",
+      "âĢĻÑı з",
+      "ĠPh ân",
+      "ж ен",
+      "же н",
+      "à¥Ī à¤ķ",
+      "ĠÑģлÑĥÑĩа е",
+      "Ġ .:",
+      "Ġ. :",
+      "åѦ æł¡",
+      "Ä° N",
+      "ç¾ ©",
+      "ĠÑģ ÑĤо",
+      "ĠÑģÑĤ о",
+      "Ġ हर",
+      "Ġह र",
+      "Ïħ ν",
+      "Ġx em",
+      "Ġxe m",
+      "Ġб ÑĥÑĤи",
+      "ĠбÑĥ ÑĤи",
+      "Ñģ иÑĤ",
+      "Ñģи ÑĤ",
+      "çª ģ",
+      "à¥į à¤Ľ",
+      "à¥įठĽ",
+      "åij ¢",
+      "ï¼Į ä¹Ł",
+      "e nÄĽ",
+      "en ÄĽ",
+      "Ġ κά",
+      "Ġκ ά",
+      "iy orum",
+      "iyor um",
+      "ĠÚ¯ Ùģت",
+      "âĹıâĹı âĹıâĹı",
+      "ั ม",
+      "Ġ Ðļон",
+      "ĠÐļ он",
+      "ĠÐļо н",
+      "н оÑĪ",
+      "но ÑĪ",
+      "ниÑĨ ÑĤ",
+      "ü zel",
+      "üz el",
+      "s ÃŃ",
+      "å¸ «",
+      "ص ÙĪÙĦ",
+      "çĥ Ń",
+      "ĠÄij ủ",
+      "ĠÄijá» §",
+      "ãĤ ®",
+      "æķ ħ",
+      "ĠÅ¡ kol",
+      "ĠÅ¡k ol",
+      "Ñĩ ен",
+      "Ñĩе н",
+      "à¹Ģ ย",
+      "à¹Ģภ¢",
+      "à¸Ļ à¸Ļ",
+      "ÙĢ ÙĢÙĢÙĢ",
+      "ÙĢÙĢ ÙĢÙĢ",
+      "ÙĢÙĢÙĢ ÙĢ",
+      "Ġ üç",
+      "Ġü ç",
+      "å¿ µ",
+      "ãĥª ãĤ¢",
+      "Ġ íĻĺ",
+      "ĠíĻ ĺ",
+      "Ġ éĩij",
+      "Ġéĩ ij",
+      "çı Ń",
+      "Ġ Ñģклад",
+      "ĠÑģ клад",
+      "ĠÑģк лад",
+      "Ñı ми",
+      "Ñıм и",
+      "ü f",
+      "Ġh ã",
+      "ĠÄIJ ại",
+      "Â Ĥ",
+      "åĦ ª",
+      "Ġbul unan",
+      "Ġbulun an",
+      "ĠاÙĦ ÙħØŃ",
+      "ĠاÙĦÙħ ØŃ",
+      "æĪ ı",
+      "Ġ è©",
+      "Ġè ©",
+      "Ġн оÑĢм",
+      "ĠноÑĢ м",
+      "Ġchu ẩn",
+      "Ġз аÑģÑĤ",
+      "Ġза ÑģÑĤ",
+      "ĠзаÑģ ÑĤ",
+      "Ġ vÃŃce",
+      "ĠvÃŃ ce",
+      "ĠvÃŃc e",
+      "Ð ĸ",
+      "Ġà¤Ĩ ध",
+      "Ġ Äįas",
+      "ĠÄį as",
+      "Ġ боÑĢ",
+      "Ġб оÑĢ",
+      "Ġбо ÑĢ",
+      "Ïģ ια",
+      "Ïģι α",
+      "ĠÙħ اÙĩ",
+      "ĠÙħا Ùĩ",
+      "Ġ íħ",
+      "Ġí ħ",
+      "ÅĻ el",
+      "ÅĻe l",
+      "Ñı ви",
+      "Ñıв и",
+      "ÏĦ εÏĤ",
+      "ÏĦε ÏĤ",
+      "i nÄĽ",
+      "in ÄĽ",
+      "Ġп еÑĢе",
+      "ĠпеÑĢ е",
+      "éķ ĩ",
+      "à¥įठŀ",
+      "Ġ éĺ",
+      "Ġé ĺ",
+      "à¹Ī าว",
+      "à¹Īา ว",
+      "ร ร",
+      "Ġ سÙĩ",
+      "Ġس Ùĩ",
+      "в али",
+      "ва ли",
+      "вал и",
+      "çķ Ļ",
+      "ĠÑĦ Ñĥнк",
+      "ĠÑĦÑĥн к",
+      "Ġ íĸī",
+      "Ġí ĸī",
+      "Ġíĸ ī",
+      "Ùģ Ùĩ",
+      "çĶŁ æ´»",
+      "èģ ŀ",
+      "o kud",
+      "ok ud",
+      "oku d",
+      "Ġ ìĤ´",
+      "ĠìĤ ´",
+      "ı zı",
+      "ız ı",
+      "Ġпо лÑĥ",
+      "Ġпол Ñĥ",
+      "ï¼Į ä½ł",
+      "Ø´ اÙĨ",
+      "æ± º",
+      "б ÑĢÑı",
+      "оÑģÑĥд аÑĢ",
+      "Ġo yun",
+      "Ġoy un",
+      "а нии",
+      "ан ии",
+      "ани и",
+      "Ġp rů",
+      "Ġpr ů",
+      "Ġn áv",
+      "Ġná v",
+      "Ġм енÑı",
+      "Ġмен Ñı",
+      "Ġìŀ ĺ",
+      "Ġ Ä°n",
+      "ĠÄ° n",
+      "Ġth ÃŃch",
+      "ĠthÃŃ ch",
+      "ĠÄij ảm",
+      "åľ Ĵ",
+      "Ġв же",
+      "Ġl oÃłi",
+      "Ġlo Ãłi",
+      "Ġ Ðŀн",
+      "ĠÐŀ н",
+      "м еÑģÑĤ",
+      "ме ÑģÑĤ",
+      "Ġ ξ",
+      "ĠÎ ¾",
+      "ãĢ ħ",
+      "Ġch iế",
+      "Ġchi ế",
+      "Ñĩ Ñĸ",
+      "Ġ íijľ",
+      "Ġí ijľ",
+      "ëĭ ¬",
+      "Ġ ëĭ¬",
+      "Ġëĭ ¬",
+      "à¥Ģ ड",
+      "ÑĢ алÑĮ",
+      "ÑĢа лÑĮ",
+      "ÑĢал ÑĮ",
+      "d ik",
+      "di k",
+      "Ġ íĨł",
+      "ĠíĨ ł",
+      "ëŁ ī",
+      "Ġ صÙĨ",
+      "Ġص ÙĨ",
+      "Ġs tej",
+      "Ġst ej",
+      "Ġste j",
+      "Ġа кÑĤив",
+      "Ġак ÑĤив",
+      "ĠакÑĤ ив",
+      "ĠакÑĤи в",
+      "Ġ é¦",
+      "Ġé ¦",
+      "Ġ à¹Ħà¸Ķ",
+      "Ġà¹Ħ à¸Ķ",
+      "æĬĢ æľ¯",
+      "Ġp rostÅĻed",
+      "Ġpro stÅĻed",
+      "Ġprost ÅĻed",
+      "å® ³",
+      "ãģ IJ",
+      "Ġol uÅŁtur",
+      "ĠoluÅŁ tur",
+      "e lop",
+      "el op",
+      "elo p",
+      "ãģ¡ ãĤĥ",
+      "éĥ İ",
+      "ض ا",
+      "Ġ خط",
+      "ĠØ® Ø·",
+      "ë° ķ",
+      "е ÑģÑı",
+      "еÑģ Ñı",
+      "ĠÙĩ ÛĮ",
+      "н ад",
+      "на д",
+      "Ġng Ãłnh",
+      "ÑĢ ÑĥÑĪ",
+      "ÑĢÑĥ ÑĪ",
+      "ãģĦ ãģĦ",
+      "Ġü rün",
+      "Ġür ün",
+      "à¸Ń à¸ķ",
+      "à¥ĭ प",
+      "Ġs ayı",
+      "Ġsa yı",
+      "Ġsay ı",
+      "à¥Ģ स",
+      "е ниÑħ",
+      "ен иÑħ",
+      "ени Ñħ",
+      "Ġ Ñģим",
+      "ĠÑģ им",
+      "ĠÑģи м",
+      "à¥Ģ द",
+      "å¤ ī",
+      "à¹Ī วม",
+      "à¹Īว ม",
+      "Ġ à¹Ģà¸Ĥ",
+      "Ġà¹Ģ à¸Ĥ",
+      "Ġà¹ĢภĤ",
+      "å·² ç»ı",
+      "а ÑĤо",
+      "аÑĤ о",
+      "ĠÑĢай он",
+      "í ĥĿ",
+      "íĥ Ŀ",
+      "Ġ ÑĤÑĢа",
+      "ĠÑĤ ÑĢа",
+      "ĠÑĤÑĢ а",
+      "l ayan",
+      "la yan",
+      "lay an",
+      "ế p",
+      "ा à¤Ł",
+      "ाठŁ",
+      "خ اب",
+      "人 æ°ij",
+      "å® Ŀ",
+      "è Ĩ",
+      "èª į",
+      "n aÄį",
+      "na Äį",
+      "Ġî ł",
+      "ĠÐļ и",
+      "ĠbaÅŁ ka",
+      "ĠbaÅŁk a",
+      "c ů",
+      "ض ع",
+      "èĪ ª",
+      "ี ม",
+      "Ñĭ ми",
+      "Ñĭм и",
+      "ÎĻ Σ",
+      "Ġشر کت",
+      "ย ว",
+      "Ġmus ÃŃ",
+      "Ġmu sÃŃ",
+      "Ġн ал",
+      "Ġна л",
+      "ี à¸Ĺ",
+      "Ġ áp",
+      "Ġá p",
+      "ร าย",
+      "æ² ¹",
+      "l eme",
+      "le me",
+      "lem e",
+      "Ġ मन",
+      "Ġम न",
+      "à¹Ħ à¸Ł",
+      "а ÑĤив",
+      "аÑĤ ив",
+      "аÑĤи в",
+      "¸ ı",
+      "èŃ °",
+      "Ïĥ ÏĦα",
+      "ÏĥÏĦ α",
+      "íĸ ¥",
+      "е ÑĤÑĥ",
+      "еÑĤ Ñĥ",
+      "ĠÑģв Ñıз",
+      "ĠÑģвÑı з",
+      "ед еÑĢа",
+      "ĠØ® ارج",
+      "า ษ",
+      "าภ©",
+      "âĢĮ Ù¾",
+      "Ñĸ г",
+      "é¡ ŀ",
+      "Ġkh ả",
+      "ĠÑģ пÑĢав",
+      "ĠÑģп ÑĢав",
+      "è¡ Ĺ",
+      "ãĥķ ãĤ¡",
+      "ãĥķãĤ ¡",
+      "Ġм еждÑĥ",
+      "Ġмеж дÑĥ",
+      "Ñĥ ли",
+      "Ñĥл и",
+      "Ġب زر",
+      "ÑĨ ен",
+      "ÑĨе н",
+      "Ġek onom",
+      "د ÙĨ",
+      "ا ÙħÛĮ",
+      "اÙħ ÛĮ",
+      "าส à¸ķร",
+      "ĠnÄĽ kol",
+      "ĠnÄĽk ol",
+      "g ün",
+      "з и",
+      "ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł",
+      "ç¦ »",
+      "Ġtr Æ°á»Łng",
+      "ı i",
+      "íİ ¸",
+      "Ġ ÑĢеб",
+      "ĠÑĢ еб",
+      "ĠÑĢе б",
+      "åº ķ",
+      "Ġت ارÛĮØ®",
+      "н има",
+      "ни ма",
+      "ним а",
+      "Ġth ân",
+      "аÑĤ елÑĮно",
+      "аÑĤелÑĮ но",
+      "ĠاÙĦ Ø°ÙĬ",
+      "ĠاÙĦØ° ÙĬ",
+      "ÙĪ ÙĨÛĮ",
+      "ÙĪÙĨ ÛĮ",
+      "Ġ éĥ",
+      "Ġé ĥ",
+      "Ġb ình",
+      "Ġbì nh",
+      "ικ ήÏĤ",
+      "ική ÏĤ",
+      "à¸ŀ ล",
+      "تÙħ اع",
+      "ĠPr aha",
+      "ĠPra ha",
+      "Ġ ÑģÑĤав",
+      "ĠÑģÑĤ ав",
+      "ĠÑģÑĤа в",
+      "د ÙĬد",
+      "دÙĬ د",
+      "Ġgi ữa",
+      "Ġgiữ a",
+      "ĠпÑĢо вед",
+      "ĠпÑĢов ед",
+      "Âł k",
+      "ÙĨد Ú¯ÛĮ",
+      "ÑĨ ий",
+      "ÑĨи й",
+      "ç Ĵ",
+      "ĠاÙĦ Ø£Ùħ",
+      "ĠاÙĦØ£ Ùħ",
+      "Ġ è´",
+      "Ġè ´",
+      "Ø¥ ÙĨجÙĦÙĬزÙĬØ©",
+      "ĠìŀĪ ìĹĪëĭ¤",
+      "ĠìŀĪìĹĪ ëĭ¤",
+      "ç ·¨",
+      "ç· ¨",
+      "ัà¸Ļ à¸ĺ",
+      "ĠÑĢок Ñĸв",
+      "Ġc áo",
+      "Ġcá o",
+      "Ġkh ó",
+      "Ġ ÙĨÙĪع",
+      "ĠÙĨ ÙĪع",
+      "ĠÙĨÙĪ ع",
+      "س ÙĦ",
+      "Ġ ÑĥÑģлов",
+      "ĠÑĥ Ñģлов",
+      "ĠÑĥÑģл ов",
+      "ĠÑĥÑģ лов",
+      "Ġcứ u",
+      "ов ого",
+      "ово го",
+      "ि à¤Ĺ",
+      "िठĹ",
+      "Ķ ëĭ¤",
+      "æĿ İ",
+      "Ġbö lg",
+      "Ġböl g",
+      "Ġn gu",
+      "Ġng u",
+      "Ġh ữu",
+      "Ġhá» ¯u",
+      "н ии",
+      "ни и",
+      "ìł Ī",
+      "Ġп ÑĢом",
+      "ĠпÑĢ ом",
+      "ĠпÑĢо м",
+      "åı Į",
+      "Ġd Æ°á»Ľi",
+      "ĠdÆ°á» Ľi",
+      "ĠdÆ° Ỽi",
+      "Ð ®",
+      "ÙĬ Ø´",
+      "æ¸ ©",
+      "ëı ħ",
+      "Ġз мÑĸ",
+      "Ġзм Ñĸ",
+      "θη κε",
+      "ĠbaÄŁ lı",
+      "Ġüzer inde",
+      "Ġ تغ",
+      "Ġت غ",
+      "Ġп ÑĢогÑĢа",
+      "ĠпÑĢ огÑĢа",
+      "ĠпÑĢо гÑĢа",
+      "ĠпÑĢог ÑĢа",
+      "i ž",
+      "Ġ ç¥",
+      "Ġç ¥",
+      "Ġy ardım",
+      "Ġyard ım",
+      "Ġyar dım",
+      "ÂĢ ÂĢ",
+      "ÂĢÂ Ģ",
+      "Ġ Ñĥв",
+      "ĠÑĥ в",
+      "Ġ rů",
+      "Ġr ů",
+      "Ġch iến",
+      "Ġchi ến",
+      "Ġchiế n",
+      "ν οÏĤ",
+      "νο ÏĤ",
+      "ãģ¨ ãģª",
+      "ا ÙĨت",
+      "اÙĨ ت",
+      "è° ·",
+      "ÃŃ sk",
+      "ÃŃs k",
+      "is inde",
+      "isi nde",
+      "isin de",
+      "Ġд ог",
+      "Ġдо г",
+      "è¿ ½",
+      "Ġп ÑĢоÑĤив",
+      "ĠпÑĢо ÑĤив",
+      "ĠпÑĢоÑĤ ив",
+      "ĠпÑĢоÑĤи в",
+      "Ïģ οÏħ",
+      "Ïģο Ïħ",
+      "ãģ® ãģĭ",
+      "Ġb azı",
+      "Ġba zı",
+      "Ġbaz ı",
+      "ı rak",
+      "ır ak",
+      "à¥ĩ ष",
+      "à¥ĩठ·",
+      "ĠÙħ شار",
+      "ĠÙħØ´ ار",
+      "Ġ ìĸij",
+      "Ġìĸ ij",
+      "Ġ нез",
+      "Ġн ез",
+      "Ġне з",
+      "Ġ Ø°ÙĦÙĥ",
+      "ĠØ° ÙĦÙĥ",
+      "èª ¿",
+      "åĤ Ļ",
+      "ĠÑĤ ÑĢан",
+      "ĠÑĤÑĢ ан",
+      "ĠÑĤÑĢа н",
+      "ĠÏĢ αÏģα",
+      "ĠÏĢαÏģ α",
+      "ĠÏĢα Ïģα",
+      "ÛĮ Ùħت",
+      "ÛĮÙħ ت",
+      "Ġt iến",
+      "Ġti ến",
+      "Ġtiế n",
+      "ĠÙĩ ÙħÙĩ",
+      "ĠÙĩÙħ Ùĩ",
+      "e fon",
+      "ef on",
+      "» .ĊĊ",
+      "». ĊĊ",
+      "».Ċ Ċ",
+      "Ġ ÙĨد",
+      "ĠÙĨ د",
+      "ج ÙĦ",
+      "Ġد ادÙĩ",
+      "Ġداد Ùĩ",
+      "Ġ вед",
+      "Ġв ед",
+      "Ġве д",
+      "Ġ sın",
+      "Ġs ın",
+      "Ġsı n",
+      "ĠÑģ вÑĸÑĤ",
+      "ĠÑģв ÑĸÑĤ",
+      "e lerin",
+      "el erin",
+      "eler in",
+      "ele rin",
+      "eleri n",
+      "âĪ ¨",
+      "Ġy ür",
+      "д ан",
+      "да н",
+      "Ġ ÐŀÑģ",
+      "ĠÐŀ Ñģ",
+      "Ġh ạng",
+      "Ġhạn g",
+      "Ġhạ ng",
+      "è® ¸",
+      "Ïĥ ÏĦη",
+      "ÏĥÏĦ η",
+      "uy ến",
+      "Ġн аб",
+      "Ġна б",
+      "Ġ оÑħ",
+      "Ġо Ñħ",
+      "Ïĥ Ïī",
+      "Ġby ly",
+      "Ġbyl y",
+      "Ñģ киÑħ",
+      "Ñģк иÑħ",
+      "Ñģки Ñħ",
+      "l amak",
+      "la mak",
+      "lam ak",
+      "lama k",
+      "и ÑĤоÑĢ",
+      "иÑĤ оÑĢ",
+      "Ġy atır",
+      "Ġya tır",
+      "Ġyat ır",
+      "ĠпÑĢоиз вод",
+      "Ġ جÙħع",
+      "Ġج Ùħع",
+      "ĠجÙħ ع",
+      "Å ł",
+      "æıIJ ä¾Ľ",
+      "Ġpr vnÃŃ",
+      "Ġprv nÃŃ",
+      "Ġα ÏĢ",
+      "íĻ ©",
+      "ĠпÑĢа кÑĤи",
+      "ler inden",
+      "lerin den",
+      "lerinde n",
+      "ĠнеобÑħодим о",
+      "åº ·",
+      "Ùİ Ø§",
+      "Ġ سÙĨ",
+      "Ġس ÙĨ",
+      "Ä° L",
+      "Ġ ê´ij",
+      "Ġê ´ij",
+      "Ġê´ ij",
+      "Ġ PÅĻ",
+      "ĠP ÅĻ",
+      "ç ŀ",
+      "ĠÑĤемп еÑĢаÑĤÑĥ",
+      "Ġka bul",
+      "Ġkab ul",
+      "Ġbu dou",
+      "Ġbud ou",
+      "ÑĨÑĸ оналÑĮ",
+      "ÑĨÑĸон алÑĮ",
+      "ï½ ľ",
+      "Ġç ocuk",
+      "Ġçocu k",
+      "ĠÑĤ ÑĸлÑĮки",
+      "b yt",
+      "by t",
+      "ãĥ ¤",
+      "ĠÑģÑĤ аÑĤ",
+      "ĠÑģÑĤа ÑĤ",
+      "Ġ æĿ±",
+      "ĠæĿ ±",
+      "le žit",
+      "اس طة",
+      "ุ ร",
+      "i êm",
+      "iê m",
+      "ĠкÑĥлÑĮ ÑĤÑĥ",
+      "Ġ пон",
+      "Ġп он",
+      "Ġпо н",
+      "Ä© nh",
+      "åĸ ľ",
+      "н ев",
+      "не в",
+      "ÑĶ н",
+      "ĠÑģо оÑĤ",
+      "ë Ŀ",
+      "çĪ ¾",
+      "Ġtu á»ķi",
+      "k anı",
+      "kan ı",
+      "สำ หร",
+      "ا عت",
+      "اع ت",
+      "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "д еÑĢж",
+      "деÑĢ ж",
+      "Ġоб лаÑģÑĤи",
+      "Ġобла ÑģÑĤи",
+      "ĠоблаÑģ ÑĤи",
+      "ĠоблаÑģÑĤ и",
+      "Ġобл аÑģÑĤи",
+      "Ġv ừa",
+      "Ġvá» «a",
+      "Ġ ÙħÙħ",
+      "ĠÙħ Ùħ",
+      "à¸ģ ำ",
+      "à¹ģ ม",
+      "iver sit",
+      "ivers it",
+      "à¹ģ ส",
+      "æ¬ §",
+      "l anan",
+      "la nan",
+      "lan an",
+      "ÙĬ ÙĨØ©",
+      "ÙĬÙĨ Ø©",
+      "س ة",
+      "ĠлÑİд ей",
+      "ร รม",
+      "รร ม",
+      "Ġ ì±Ħ",
+      "Ġì± Ħ",
+      "Ġ 天",
+      "Ġå¤ ©",
+      "ен нÑĭÑħ",
+      "à¹ģ ห",
+      "Ġs práv",
+      "Ġsp ráv",
+      "Ġspr áv",
+      "èŃ ¦",
+      "ï¼ ľ",
+      "ั à¸Ĵ",
+      "il ecek",
+      "ile cek",
+      "ilece k",
+      "Ġ æŁ",
+      "Ġæ Ł",
+      "Ġ èĭ±",
+      "Ġèĭ ±",
+      "ĠÑħ оÑĢоÑĪ",
+      "ëł ĩ",
+      "Û² Û°Û°",
+      "Û²Û° Û°",
+      "æĬ ¤",
+      "Ġl ã",
+      "ÅĻÃŃ zenÃŃ",
+      "ÅĻÃŃz enÃŃ",
+      "ĠتÙĪÙĦ ÛĮد",
+      "éļ Ľ",
+      "ãĤĮ ãģ°",
+      "á š",
+      "ارÙĬ Ø®",
+      "æĶ »",
+      "Ġkho ảng",
+      "Ġkhoản g",
+      "éĻ į",
+      "о ван",
+      "ов ан",
+      "ова н",
+      "Ġg ây",
+      "âĢĻn ın",
+      "Ø£ ÙĨ",
+      "m iÅŁtir",
+      "mi ÅŁtir",
+      "miÅŁ tir",
+      "miÅŁti r",
+      "Ġs ức",
+      "Ġsứ c",
+      "к ÑĥÑģ",
+      "кÑĥ Ñģ",
+      "Ġüzer ine",
+      "ÄŁ ü",
+      "ا بر",
+      "اب ر",
+      "ï¼Į å°±",
+      "Ì £",
+      "Ġ ëıĮ",
+      "Ġëı Į",
+      "Ġtr á»±c",
+      "æĶ¶ å½ķ",
+      "æī ¿",
+      "ĠN á»Ļi",
+      "Ġ çĻ¾",
+      "ĠçĻ ¾",
+      "ÑĪ ÑĮ",
+      "ج ة",
+      "ë² ł",
+      "ठī",
+      "à ¸ı",
+      "ภı",
+      "Ġü lk",
+      "Ġül k",
+      "ĠÙĩست ÙĨد",
+      "ัà¸ļ à¸ģาร",
+      "ĠÑı ка",
+      "ĠÑıк а",
+      "ã İ",
+      "Ġ Як",
+      "ĠЯ к",
+      "Ġг де",
+      "t iv",
+      "ti v",
+      "ãĢ Ī",
+      "лÑİ Ñĩа",
+      "лÑİÑĩ а",
+      "ा ।Ċ",
+      "ा। Ċ",
+      "Ġ ÙħاÙĨ",
+      "ĠÙħ اÙĨ",
+      "ĠÙħا ÙĨ",
+      "Ġd lou",
+      "Ġdl ou",
+      "Ġ ãĥķ",
+      "Ġãĥ ķ",
+      "ठĽ",
+      "Ġph ục",
+      "Ġphụ c",
+      "a kat",
+      "ak at",
+      "aka t",
+      "Ð ¬",
+      "as ını",
+      "ĠæĬķ 稿",
+      "ÑĢ ев",
+      "ÑĢе в",
+      "Ġv yt",
+      "Ġvy t",
+      "Ġz mÄĽ",
+      "Ġzm ÄĽ",
+      "ÏĦ Ïī",
+      "è ¬",
+      "Ġ Ñĥм",
+      "ĠÑĥ м",
+      "Ġuz un",
+      "Ġp roti",
+      "Ġpro ti",
+      "Ġpr oti",
+      "Ġprot i",
+      "ĠÑģо ÑģÑĤоÑı",
+      "ĠÑģоÑģÑĤ оÑı",
+      "ัà¸Ĵ à¸Ļ",
+      "a tik",
+      "at ik",
+      "ati k",
+      "Ġ à¸ł",
+      "Ġภł",
+      "Ġà¤Ĩ द",
+      "lar ından",
+      "ların dan",
+      "larında n",
+      "æĢ ¥",
+      "ãĥ¼ ãĤ¯",
+      "ãĥ¼ãĤ ¯",
+      "ĠÙĦ ÙĦÙħ",
+      "ĠÙĦÙĦ Ùħ",
+      "Ùģ تÙĩ",
+      "Ùģت Ùĩ",
+      ". :.",
+      ".: .",
+      "üç ük",
+      "ол ева",
+      "à¹Į Ċ",
+      "ĠпеÑĢ ев",
+      "ĠпеÑĢе в",
+      "ĠÙĨ سب",
+      "ĠÙĨس ب",
+      "е леннÑı",
+      "ел еннÑı",
+      "елен нÑı",
+      "' ın",
+      "'ı n",
+      "ν Ïī",
+      "è¡ £",
+      "Ġ دÙĬ",
+      "Ġد ÙĬ",
+      "åį ĩ",
+      "Ġbel irt",
+      "Ġbelir t",
+      "Ġ /:",
+      "Ġ/ :",
+      "èij ī",
+      "Ġv yh",
+      "Ġvy h",
+      "çļĦ ä¸Ģ",
+      "èĥ Į",
+      "Ġ ìĹ´",
+      "ĠìĹ ´",
+      "о ла",
+      "ол а",
+      "Ġ تب",
+      "Ġت ب",
+      "á ci",
+      "ác i",
+      "ा à¤ī",
+      "ाठī",
+      "ภİ",
+      "çĶ ¢",
+      "à¥Ī ल",
+      "Ġ ÙĤØ·",
+      "ĠÙĤ Ø·",
+      "ëĦ Ī",
+      "ắ m",
+      "ÑĢ Ñıд",
+      "ÑĢÑı д",
+      "Ġph ụ",
+      "ĠÙĪ اÙĤع",
+      "ĠÙĪا ÙĤع",
+      "Ġm erk",
+      "Ġme rk",
+      "Ġmer k",
+      "Ġch á»ijng",
+      "å¯ Ł",
+      "ا بط",
+      "اب ط",
+      "us unda",
+      "usu nda",
+      "Ġод на",
+      "ž el",
+      "že l",
+      "ĠÑģ Ñĥм",
+      "ĠÑģÑĥ м",
+      "Ġph ù",
+      "Ġ ζ",
+      "ĠÎ ¶",
+      "Ġz av",
+      "Ġza v",
+      "e dn",
+      "ed n",
+      "Ġp otÅĻeb",
+      "Ġpot ÅĻeb",
+      "ĠÚ©ÙĨ ÙĨد",
+      "ĠÑĢ азв",
+      "ĠÑĢаз в",
+      "ĠÑĢа зв",
+      "¿ ł",
+      "ĠاÙĦ ز",
+      "Ġm ÄĽl",
+      "ĠmÄĽ l",
+      "Ġ ÑģÑĤанов",
+      "ĠÑģÑĤ анов",
+      "ĠÑģÑĤан ов",
+      "ĠÑģÑĤа нов",
+      "Ġ درÛĮ",
+      "Ġد رÛĮ",
+      "Ġدر ÛĮ",
+      "Ġt ượng",
+      "ã ģµ",
+      "ãģ µ",
+      "Ġд ви",
+      "Ġдв и",
+      "ÑĮ Ñı",
+      "è £½",
+      "è£ ½",
+      "Ġ تÙĦ",
+      "Ġت ÙĦ",
+      "š ť",
+      "ãģª ãĤī",
+      "Ġà¤ķ à¤Ī",
+      "Å¡ i",
+      "âĢĮ است",
+      "Ġk ỹ",
+      "Ġká» ¹",
+      "ë§ Ŀ",
+      "Ġà¤Ĩ à¤ľ",
+      "ãĥ ´",
+      "Ġb á»ı",
+      "du ÄŁu",
+      "duÄŁ u",
+      "Ġ æ¯",
+      "Ġæ ¯",
+      "п еÑĢ",
+      "пе ÑĢ",
+      "ا ÙĦÙĬØ©",
+      "اÙĦ ÙĬØ©",
+      "اÙĦÙĬ Ø©",
+      "æīĢ 以",
+      "åħ °",
+      "Ġ oran",
+      "Ġo ran",
+      "Ġor an",
+      "Ġora n",
+      "Ġ íŀ",
+      "Ġí ŀ",
+      "Ïĥ ία",
+      "Ïĥί α",
+      "Ġph ủ",
+      "ĠбÑĭ ла",
+      "ĠбÑĭл а",
+      "Ñĩ ива",
+      "Ñĩи ва",
+      "Ñĩив а",
+      "Ġ ê°Ħ",
+      "Ġê° Ħ",
+      "о лÑĸ",
+      "ол Ñĸ",
+      "Ùĥ ت",
+      "å ħ§",
+      "åħ §",
+      "à¥Ĥ à¤Ł",
+      "Ġ ëĸ",
+      "Ġë ĸ",
+      "Ġ ÙĦÙĩ",
+      "ĠÙĦ Ùĩ",
+      "ëłĪ ìĿ´",
+      "Ġh ız",
+      "å¤ ı",
+      "ĠæĬķ稿 æĹ¥",
+      "éļ ¾",
+      "ĵ °",
+      "г лÑıд",
+      "глÑı д",
+      "гл Ñıд",
+      "ì n",
+      "Ġ меÑĢ",
+      "Ġм еÑĢ",
+      "Ġ ãĢij",
+      "ĠãĢ ij",
+      "Ġ обÑī",
+      "Ġоб Ñī",
+      "um hur",
+      "çł ´",
+      "л иÑģÑĮ",
+      "ли ÑģÑĮ",
+      "sp ÄĽ",
+      "ر ÙĬÙĤ",
+      "رÙĬ ÙĤ",
+      "Ġ تÙģ",
+      "Ġت Ùģ",
+      "Ġا ÙĦÙĪ",
+      "ĠاÙĦ ÙĪ",
+      "çµ ±",
+      "а лоÑģÑĮ",
+      "ал оÑģÑĮ",
+      "ало ÑģÑĮ",
+      "Ġm ô",
+      "Ġv á»ĩ",
+      "Ġvá» ĩ",
+      "Ġ δι",
+      "Ġδ ι",
+      "Ġ зн",
+      "Ġз н",
+      "Ġ بØŃ",
+      "Ġب ØŃ",
+      "ت Ùī",
+      "Ġ ì§ģ",
+      "Ġì§ ģ",
+      "Ġvel mi",
+      "uyá» ħn",
+      "Ġph ạm",
+      "ÑģÑĤв ом",
+      "ÑģÑĤво м",
+      "ĠÙĪ اÙĦÙħ",
+      "ĠÙĪاÙĦ Ùħ",
+      "ĠÙĪا ÙĦÙħ",
+      "ĠбÑĭ ли",
+      "ĠбÑĭл и",
+      "ا ذ",
+      "Ø§Ø °",
+      "ÄĽ ÅĻ",
+      "â Ħĸ",
+      "âĦ ĸ",
+      "Ġп олож",
+      "Ġпо лож",
+      "Ġпол ож",
+      "า à¸ģาร",
+      "าà¸ģ าร",
+      "ĠÄį lán",
+      "Îķ Ρ",
+      "Ġ ìĤ°",
+      "ĠìĤ °",
+      "β α",
+      "Ġ æĹ¥æľ¬",
+      "ĠæĹ¥ æľ¬",
+      "ز د",
+      "ĠÙĨ ÛĮست",
+      "ĠÙĨÛĮ ست",
+      "Ġha yat",
+      "Ġhay at",
+      "Ġhaya t",
+      "ç¢ º",
+      "à¹Ģ วล",
+      "à¹Ģว ล",
+      "ĠCh ÃŃnh",
+      "ĠChÃŃ nh",
+      "ï¼Į æĺ¯",
+      "ĠÙĪ اØŃ",
+      "ĠÙĪا ØŃ",
+      "èı ¯",
+      "Ġή ÏĦαν",
+      "Ġx á»Ń",
+      "ĠÄį erv",
+      "ĠÄįer v",
+      "ĠÄįe rv",
+      "ĠÙħد ÛĮر",
+      "é Ĩ",
+      "ĠëĪ Ī",
+      "ç» Ń",
+      "Ġt ên",
+      "ìĸ ¸",
+      "Ġort aya",
+      "Ġorta ya",
+      "Ġ жен",
+      "Ġж ен",
+      "Ġже н",
+      "Ġn Æ¡i",
+      "ен нÑĭе",
+      "ÑĦ екÑĤив",
+      "ÑĦек ÑĤив",
+      "íĿ ¬",
+      "Ġkh á»ı",
+      "ĠÄij a",
+      "os yal",
+      "osy al",
+      "à¸Ľà¸£à¸° à¹Ģà¸Ĺศ",
+      "Ġo dst",
+      "Ġod st",
+      "Ġ à¸ĸ",
+      "Ġภĸ",
+      "Ġο ÏĢο",
+      "æĶ¿ åºľ",
+      "Ġb Ãłn",
+      "ĠbÃł n",
+      "ĠG iá»",
+      "ĠGi á»",
+      "Ġold uk",
+      "Ġol duk",
+      "Ġoldu k",
+      "о вание",
+      "ов ание",
+      "ова ние",
+      "овани е",
+      "ован ие",
+      "à¸Ń ส",
+      "Ġ нев",
+      "Ġн ев",
+      "Ġне в",
+      "ÏĦ Ïģο",
+      "ÏĦÏģ ο",
+      "Ġ ìĨį",
+      "ĠìĨ į",
+      "k ı",
+      "Ġब ड",
+      "Ġ ÏħÏĢ",
+      "ĠÏħ ÏĢ",
+      "Ġ Vý",
+      "ĠV ý",
+      "ï¾ Ħ",
+      "çŃ ĸ",
+      "ε ÏĨ",
+      "Ġ åħ¨",
+      "Ġåħ ¨",
+      "ĠÙģ رÙĪØ´",
+      "ĠÙģر ÙĪØ´",
+      "ĠÙģرÙĪ Ø´",
+      "ÙĤÛĮ ÙĤ",
+      "ä¼ģ ä¸ļ",
+      "ε Ïį",
+      "èĻ Ł",
+      "Ġa yr",
+      "Ġay r",
+      "ض ÙĪ",
+      "Å¡ el",
+      "Å¡e l",
+      "Ġп ÑĸÑģлÑı",
+      "ĠпÑĸÑģ лÑı",
+      "Ñĸй Ñģ",
+      "é¢ Ĩ",
+      "ک تر",
+      "کت ر",
+      "л Ñĥб",
+      "лÑĥ б",
+      "è« ĸ",
+      "æ° ¸",
+      "ез пеÑĩ",
+      "Ġ кам",
+      "Ġк ам",
+      "Ġка м",
+      "ع داد",
+      "عد اد",
+      "ê±° ëŀĺ",
+      "ู à¸ĩ",
+      "ĠتÙĩ راÙĨ",
+      "Ġ ëĦĪ",
+      "ĠëĦ Ī",
+      "ÑĢ ив",
+      "ÑĢи в",
+      "Ġ ÑĤоÑĢ",
+      "ĠÑĤ оÑĢ",
+      "ĠÑĤо ÑĢ",
+      "ا Ùī",
+      "ا٠ī",
+      "' Ñıз",
+      "'Ñı з",
+      "ÙIJ ÙĬ",
+      "Ġkh ÃŃ",
+      "Ġ ÑĪÑĤ",
+      "ĠÑĪ ÑĤ",
+      "Ġ ξε",
+      "ĠÎľ ε",
+      "Ġb iri",
+      "Ġbi ri",
+      "Ġbir i",
+      "è ĩ´",
+      "èĩ ´",
+      "Ñĥ вав",
+      "Ñĥв ав",
+      "Ñĥва в",
+      "ãģĪ ãĤĭ",
+      "Ġд иÑģ",
+      "Ġди Ñģ",
+      "а ÑİÑĤ",
+      "аÑİ ÑĤ",
+      "ص ب",
+      "åĿ ĩ",
+      "о лÑİ",
+      "ол Ñİ",
+      "èĭ ¥",
+      "Ġ اث",
+      "Ġا Ø«",
+      "ĠØ§Ø «",
+      "s ou",
+      "so u",
+      "åIJ ĥ",
+      "ãģ® ãģł",
+      "ub lik",
+      "ubl ik",
+      "л ей",
+      "ле й",
+      "Âł m",
+      "Ġíıī ê·ł",
+      "ạ y",
+      "ε ÏĢ",
+      "t ık",
+      "tı k",
+      "Ġv yu",
+      "Ġvy u",
+      "ع ÙĪد",
+      "Ġд оз",
+      "Ġдо з",
+      "Ġl á»ĭch",
+      "è³ ª",
+      "à¥ģ à¤Ī",
+      "à¥ģठĪ",
+      "ั à¸ŀ",
+      "Ġt ém",
+      "Ġté m",
+      "Ġ kaç",
+      "Ġk aç",
+      "Ġka ç",
+      "Ġc ái",
+      "Ġcá i",
+      "Ġ μα",
+      "Ġμ α",
+      "âĢ¦âĢ¦ ãĢįĊĊ",
+      "í Ī¬",
+      "ر ÙĪÙĩ",
+      "رÙĪ Ùĩ",
+      "Ġ rych",
+      "Ġr ych",
+      "Ġry ch",
+      "Îij Τ",
+      "Ġ ÑĢÑĸв",
+      "ĠÑĢ Ñĸв",
+      "ë³ ij",
+      "åģ ¥",
+      "Ġzd rav",
+      "Ġ عدد",
+      "Ġع دد",
+      "Ġعد د",
+      "èį ī",
+      "δ ια",
+      "δι α",
+      "Ġv áºŃn",
+      "Ñĭ ÑĤ",
+      "Ġкол иÑĩ",
+      "Ġко лиÑĩ",
+      "Ġколи Ñĩ",
+      "ÏĮ ÏĦε",
+      "Ġb ırak",
+      "Ġ ØŃÙħ",
+      "ĠØŃ Ùħ",
+      "Ġch á»ĭ",
+      "é» Ħ",
+      "ĠاÙĦÙħت ØŃدة",
+      "ื à¸Ńà¸ģ",
+      "ืà¸Ń à¸ģ",
+      "Ġз али",
+      "Ġза ли",
+      "Ġзал и",
+      "Ġnh anh",
+      "âĢĮ تÙĪاÙĨ",
+      "ëĿ ½",
+      "Ġت ÙĪسط",
+      "ĠتÙĪ سط",
+      "ĠتÙĪس Ø·",
+      "è¦ģ æ±Ĥ",
+      "а лÑĥ",
+      "ал Ñĥ",
+      "ün kü",
+      "ünk ü",
+      "ãģª ãĤĵ",
+      "Ġ Trong",
+      "ĠT rong",
+      "ĠTr ong",
+      "ĠTro ng",
+      "à¸Ļ ะ",
+      "åij ¼",
+      "Ġ ÙĬÙħ",
+      "ĠÙĬ Ùħ",
+      "и ки",
+      "ик и",
+      "ĠÑĤ ÑĥÑĤ",
+      "ĠÑĤÑĥ ÑĤ",
+      "Ġya ÅŁam",
+      "ĠyaÅŁ am",
+      "Ġm á»įi",
+      "é ĽĦ",
+      "éĽ Ħ",
+      "ĠØŃ Ø¶",
+      "Ġав ÑĤом",
+      "ĠавÑĤ ом",
+      "Ġसब स",
+      "Ġy ếu",
+      "ãĤ¹ ãĤ¿",
+      "Ïĩ ή",
+      "Ñĸ Ñİ",
+      "è ĺ",
+      "ิ ย",
+      "Ġm ev",
+      "Ġme v",
+      "ick ého",
+      "ické ho",
+      "ि ह",
+      "िठ¹",
+      "åŃ £",
+      "θ ή",
+      "Ġब ढ",
+      "ĠاÙĦ Ùħس",
+      "ĠاÙĦÙħ س",
+      "ÏĦ οÏħ",
+      "ÏĦο Ïħ",
+      "ek li",
+      "ekl i",
+      "Ġде ÑĢев",
+      "ĠдеÑĢ ев",
+      "å¸ Ń",
+      "æ² Ļ",
+      "ãģ« ãĤĤ",
+      "Ġo blast",
+      "Ġob last",
+      "Ġobl ast",
+      "Ġh á»Ļ",
+      "Ġhá» Ļ",
+      "Ġ å¹³",
+      "Ġå¹ ³",
+      ".:.:.:.: .:.:.:.:",
+      ".:.:.:. :.:.:.:.:",
+      "Ġ éĸ",
+      "Ġé ĸ",
+      "Ġ جز",
+      "Ġج ز",
+      "ĠÙĩÙħ ÚĨ",
+      "ä¸ ¦",
+      "ÑĨ еп",
+      "ÑĨе п",
+      "ा Ċ",
+      "ä¸Ń çļĦ",
+      "'n ın",
+      "Ġ íķĺëĬĶ",
+      "Ġíķĺ ëĬĶ",
+      "ÑĶ ÑĹ",
+      "Ġ بش",
+      "Ġب Ø´",
+      "åį ´",
+      "ä¹ ł",
+      "ĠاطÙĦ اعات",
+      "ĠاطÙĦاع ات",
+      "Ġ ë²ł",
+      "Ġë² ł",
+      "Ġکرد ÙĨ",
+      "Ġکر دÙĨ",
+      "ा ड",
+      "ाठ¡",
+      "Ġà¤ħ र",
+      "ĠH á»į",
+      "ĠHá» į",
+      "ĠгÑĢом ад",
+      "Ġ ست",
+      "ĠØ ³Øª",
+      "Ġس ت",
+      "ÏĦι ÏĤ",
+      "Ġan cak",
+      "Ġanc ak",
+      "Ġ ог",
+      "Ġо г",
+      "Ġk teÅĻÃŃ",
+      "Ġ æ¬",
+      "Ġæ ¬",
+      "Ġ Ngh",
+      "ĠN gh",
+      "ĠNg h",
+      "Ġt edy",
+      "Ġte dy",
+      "Ġted y",
+      "Ġ ÏĢο",
+      "ĠÏĢ ο",
+      "Ġqu ân",
+      "Ġб Ñĥли",
+      "ĠбÑĥ ли",
+      "è¯ Ĩ",
+      "Ġt ừng",
+      "Ġtá» «ng",
+      "Ġtừ ng",
+      "人 çļĦ",
+      "ี à¸ģาร",
+      "ีà¸ģ าร",
+      "Ġκα ÏĦα",
+      "Ġpo uze",
+      "Ġpou ze",
+      "¡ ng",
+      "ĠØ¢ ر",
+      "Ġ ÑĤÑĥ",
+      "ĠÑĤ Ñĥ",
+      "Ġt á»·",
+      "Ġtá» ·",
+      "ĠD anh",
+      "ĠDan h",
+      "ĠDa nh",
+      "о ном",
+      "он ом",
+      "Ñģ ий",
+      "Ñģи й",
+      "Ġ à¹Ģà¸Ķ",
+      "Ġà¹Ģ à¸Ķ",
+      "Ġà¹ĢภĶ",
+      "£ ¨",
+      "Å¡ k",
+      "ãĥĥ ãĥī",
+      "ar dır",
+      "ard ır",
+      "Ġyö net",
+      "Ġyön et",
+      "Ñĥ вали",
+      "Ñĥв али",
+      "Ñĥва ли",
+      "åħĪ çĶŁ",
+      "Ġ ÐIJÑĢ",
+      "ĠÐIJ ÑĢ",
+      "Ġprot ože",
+      "Ġproto že",
+      "Ġ íģ¬",
+      "Ġíģ ¬",
+      "Ġjed not",
+      "Ġjedn ot",
+      "Ġjedno t",
+      "Ġt ý",
+      "éĩ ĩ",
+      "Ġ หร",
+      "Ġห ร",
+      "Ġ åľ°",
+      "Ġåľ °",
+      "çº ¢",
+      "Ġм олод",
+      "Ġмол од",
+      "Ġмо лод",
+      "iên g",
+      "iê ng",
+      "ĠÏĮ ÏĦι",
+      "Ġد اشتÙĩ",
+      "Ġداش تÙĩ",
+      "Ġداشت Ùĩ",
+      "Ġuy gun",
+      "Ġuyg un",
+      "Ġuygu n",
+      "Ġоп еÑĢа",
+      "ĠопеÑĢ а",
+      "åı «",
+      "Ġ ап",
+      "Ġа п",
+      "Ġ кÑĥÑĢ",
+      "Ġк ÑĥÑĢ",
+      "ĠкÑĥ ÑĢ",
+      "ا عة",
+      "اع ة",
+      "un uz",
+      "unu z",
+      "Ġ ìĤ¬ì§Ħ",
+      "ĠìĤ¬ ì§Ħ",
+      "Ġv ô",
+      "ç ok",
+      "ço k",
+      "Ġ èģ",
+      "Ġè ģ",
+      "ÑĤе ÑĢеÑģ",
+      "ÑĤеÑĢ еÑģ",
+      "Ġ استاÙĨ",
+      "Ġا ستاÙĨ",
+      "Ġاست اÙĨ",
+      "Ġاس تاÙĨ",
+      "а лаÑģÑĮ",
+      "ала ÑģÑĮ",
+      "à¥ģ व",
+      "à¥ģठµ",
+      "á» ³",
+      "Ġl Æ°u",
+      "Ġ Та",
+      "ĠТ а",
+      "Ġl á»±a",
+      "' ÑĶ",
+      "Ġ üy",
+      "Ġü y",
+      "Ġ ÛĮÚ©ÛĮ",
+      "ĠÛĮ Ú©ÛĮ",
+      "ĠÛĮÚ© ÛĮ",
+      "æ ¾",
+      "н ем",
+      "не м",
+      "Ġ خاÙĨ",
+      "ĠØ® اÙĨ",
+      "ĠÑį лек",
+      "ÙĤ اÙĦ",
+      "л ок",
+      "ло к",
+      "ĠÄij ẹp",
+      "à¥ī ल",
+      "Ġm ůž",
+      "Ġmů ž",
+      "ëĭ¤ ëĬĶ",
+      "Ġ íķĺëĤĺ",
+      "Ġíķĺ ëĤĺ",
+      "ÙĦ ت",
+      "çİ° åľ¨",
+      "м о",
+      "Ïħ Ïĥ",
+      "ãģŁ ãģ¡",
+      "ĠìłĦ ìĦ¸",
+      "à¥į à¤Łà¤°",
+      "à¥įà¤Ł र",
+      "ع ات",
+      "عا ت",
+      "د ÙĪ",
+      "ä¿ º",
+      "æ¥ ½",
+      "æ£ ®",
+      "Ġл иÑģÑĤ",
+      "Ġли ÑģÑĤ",
+      "δ ι",
+      "å¯ Į",
+      "ĠÄij Æ°a",
+      "в еÑģÑĤи",
+      "ве ÑģÑĤи",
+      "веÑģÑĤ и",
+      "д о",
+      "ан нÑĸ",
+      "Ġü ret",
+      "Ġür et",
+      "Ġg á»įi",
+      "ĠÑģ воÑİ",
+      "ĠÑģв оÑİ",
+      "ĠÑģво Ñİ",
+      "á» «ng",
+      "ừ ng",
+      "Ġt ất",
+      "äºļ æ´²",
+      "á ce",
+      "ác e",
+      "N Ãį",
+      "Ġ ÑĢÑĭ",
+      "ĠÑĢ Ñĭ",
+      "æ» ¡",
+      "Ïģ εÏĤ",
+      "Ïģε ÏĤ",
+      "åħį è´¹",
+      "л оÑĤ",
+      "ло ÑĤ",
+      "æĻ º",
+      "Ġα γ",
+      "Ġà¤ħ म",
+      "Ġ ç´",
+      "Ġç ´",
+      "о до",
+      "од о",
+      "Ñħ и",
+      "Ġngu á»ĵn",
+      "éĥ¨ åĪĨ",
+      "в аÑĤ",
+      "ва ÑĤ",
+      "ĠÑĤ еб",
+      "ĠÑĤе б",
+      "з аÑĨÑĸÑĹ",
+      "за ÑĨÑĸÑĹ",
+      "Ġ ÐŁÑĢо",
+      "ĠÐŁ ÑĢо",
+      "ĠÐŁÑĢ о",
+      "ع ÛĮ",
+      "Ġ ÙĪÙĬ",
+      "ĠÙĪ ÙĬ",
+      "ëŀ ľ",
+      "Ġne by",
+      "Ġneb y",
+      "Ġج دÛĮد",
+      "Ġجد ÛĮد",
+      "ÄŁ imiz",
+      "ÄŁim iz",
+      "£ ½",
+      "Ġà¤Ĩ त",
+      "Ġà¤Ń र",
+      "æī ĺ",
+      "å®ī åħ¨",
+      "Ġëĵ¤ ìĸ´",
+      "ب رد",
+      "بر د",
+      "Ġê²ĥ ìĿ´",
+      "äº ²",
+      "æ° ı",
+      "ал Ñĸз",
+      "алÑĸ з",
+      "l ack",
+      "la ck",
+      "lac k",
+      "ĠÙħخت ÙĦÙģ",
+      "ا ÙĨÙĬØ©",
+      "اÙĨ ÙĬØ©",
+      "اÙĨÙĬ Ø©",
+      "Ġ ì²Ń",
+      "Ġì² Ń",
+      "Ġ виÑĤ",
+      "Ġв иÑĤ",
+      "Ġви ÑĤ",
+      "Ġhar eket",
+      "Ġhare ket",
+      "Ġharek et",
+      "é ¨",
+      "à¸Ļ ำ",
+      "Ġب رخ",
+      "Ġبر Ø®",
+      "å£ ²",
+      "Ñĩ ай",
+      "Ñĩа й",
+      "Ġan lat",
+      "Ġà¤ħ व",
+      "ĠاÙģ ز",
+      "Ġh ết",
+      "ĠÚĨ ÙĨد",
+      "éĹ ľ",
+      "пÑĢи ÑĶм",
+      "g ı",
+      "Ġk omp",
+      "Ġkom p",
+      "Ġko mp",
+      "Ġl Ỽp",
+      "ĠlỼ p",
+      "Ġm á»Ĺi",
+      "Ġmá» Ĺi",
+      "à¸Ľà¸£à¸° à¸ģ",
+      "Ġ haf",
+      "Ġh af",
+      "Ġha f",
+      "Ġ eder",
+      "Ġe der",
+      "Ġed er",
+      "Ġзд оÑĢов",
+      "à¥Ĥ म",
+      "ëł ¸",
+      "Ġo nun",
+      "Ġon un",
+      "Ġonu n",
+      "ĠÙħر دÙħ",
+      "ĠÙħرد Ùħ",
+      "ĠÐľ аÑĢ",
+      "ĠÐľÐ° ÑĢ",
+      "Ġìĸ´ ëĸ",
+      "м ан",
+      "ма н",
+      "Ġ ÑģилÑĮ",
+      "ĠÑģ илÑĮ",
+      "ĠÑģи лÑĮ",
+      "ĠÑģил ÑĮ",
+      "ç¶ ²",
+      "ë¸ Ķ",
+      "л ÑıеÑĤ",
+      "лÑı еÑĤ",
+      "ĠнеÑģк олÑĮко",
+      "ĠнеÑģколÑĮ ко",
+      "l andır",
+      "land ır",
+      "lan dır",
+      "landı r",
+      "Ġв д",
+      "ĠÙĨ ÙĪ",
+      "ãģ İ",
+      "ÑĤ ин",
+      "ÑĤи н",
+      "ت ش",
+      "а ний",
+      "ан ий",
+      "ани й",
+      "Ġt ÅĻ",
+      "Ñģ иÑħ",
+      "Ñģи Ñħ",
+      "л ом",
+      "ло м",
+      "æŃ ©",
+      "ãİ ¡",
+      "Ġ ØŃر",
+      "ĠØŃ Ø±",
+      "æĭ į",
+      "e nou",
+      "en ou",
+      "eno u",
+      "Ġв ели",
+      "Ġвел и",
+      "Ġве ли",
+      "Ġ δη",
+      "Ġδ η",
+      "s ka",
+      "sk a",
+      "主 è¦ģ",
+      "ا ÙģØ©",
+      "اÙģ Ø©",
+      "ĠболÑĮ ÑĪе",
+      "ĠболÑĮÑĪ е",
+      "ิ ศ",
+      "çĽ Ĭ",
+      "ĠÙģ ÙĤØ·",
+      "ĠÙģÙĤ Ø·",
+      "å¨ ģ",
+      "Ġh Æ°á»Łng",
+      "ĠD oÄŁ",
+      "ĠDo ÄŁ",
+      "Ġd Ãłi",
+      "Ġ гоÑĤов",
+      "Ġг оÑĤов",
+      "ĠгоÑĤ ов",
+      "Ġв ам",
+      "Ġва м",
+      "âĢ ī",
+      "ा à¤ļ",
+      "ाठļ",
+      "åħ ¸",
+      "à¹ĥ หà¸į",
+      "à¹ĥห à¸į",
+      "Ġ ç«",
+      "Ġç «",
+      "ekt ör",
+      "Ġв ел",
+      "Ġве л",
+      "Ġ ÙĦÙĪ",
+      "ĠÙĦ ÙĪ",
+      "Ø´ تÙĩ",
+      "شت Ùĩ",
+      "æĺ ¾",
+      "ả y",
+      "à¹Ĥ ม",
+      "Ġt á»ķng",
+      "Ġtá»ķ ng",
+      "Ġtá»ķn g",
+      "ĠповеÑĢ Ñħ",
+      "ÑĹ Ð²",
+      "Ġph ép",
+      "çļ ĩ",
+      "Ġп оÑĢÑıд",
+      "Ġпо ÑĢÑıд",
+      "ĠпоÑĢ Ñıд",
+      "ĠÑģооÑĤ веÑĤ",
+      "ठĿ",
+      "ĠÑģеб Ñı",
+      "Ġ ëĤł",
+      "ĠëĤ ł",
+      "Ġб Ñĥла",
+      "ĠбÑĥ ла",
+      "à¹ī าย",
+      "à¹īา ย",
+      "Ġ ãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢ ãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢ ãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢ ãĢĢ",
+      "ĠÙħ جÙħÙĪع",
+      "ï¼Į 以",
+      "Ġب ÙĪدÙĩ",
+      "ĠبÙĪد Ùĩ",
+      "ĠبÙĪ دÙĩ",
+      "μ ÏĮ",
+      "Ġ íݸ",
+      "Ġíİ ¸",
+      "eÅŁ it",
+      "Ñİ Ñīие",
+      "ÑİÑī ие",
+      "Ñİ ÑīиÑħ",
+      "ÑİÑī иÑħ",
+      "åŁº éĩij",
+      "Ġت ØŃت",
+      "ĠتØŃ Øª",
+      "Ġв лаÑģ",
+      "Ġвла Ñģ",
+      "ler le",
+      "ãĤ ²",
+      "ëĬ ĺ",
+      "è ĵ",
+      "m anın",
+      "man ın",
+      "manı n",
+      "ìŀ Ī",
+      "Ġz ast",
+      "Ġza st",
+      "Ġzas t",
+      "ĠÑĩелов ек",
+      "à¥ĩ ब",
+      "à¥ĩठ¬",
+      "p eÄį",
+      "pe Äį",
+      "Ġبر ÙĨاÙħÙĩ",
+      "Ġs lov",
+      "Ġsl ov",
+      "Ġslo v",
+      "ĠnÄĽ jak",
+      "ĠnÄĽj ak",
+      "ê· ľ",
+      "à¥ĩ ह",
+      "à¥ĩठ¹",
+      "èĹ ¤",
+      "ĠبÛĮ شتر",
+      "ĠبÛĮØ´ تر",
+      "il iz",
+      "ili z",
+      "Ġ ëĶĶ",
+      "Ġë ĶĶ",
+      "ĠëĶ Ķ",
+      "ا زÙĩ",
+      "از Ùĩ",
+      "ت د",
+      "Ġe tm",
+      "Ġet m",
+      "Ġëĭ¤ 른",
+      "Ġ vů",
+      "Ġv ů",
+      "å° Ħ",
+      "Ġк лаÑģ",
+      "Ġкл аÑģ",
+      "Ġкла Ñģ",
+      "в ÑĢоп",
+      "æ´ ¾",
+      "ĠÄij ình",
+      "Ñĥ ÑİÑĤ",
+      "ÑĥÑİ ÑĤ",
+      "Ñĥ еÑĤÑģÑı",
+      "ÑĥеÑĤ ÑģÑı",
+      "éľ ²",
+      "Ġ ÑģкоÑĢ",
+      "ĠÑģ коÑĢ",
+      "ĠÑģк оÑĢ",
+      "Ġв аÑģ",
+      "Ġва Ñģ",
+      "íķĺ ìĺĢëĭ¤",
+      "íķĺìĺĢ ëĭ¤",
+      "Ġ داشت",
+      "Ġد اشت",
+      "Ġداش ت",
+      "Ġ çĦ",
+      "Ġç Ħ",
+      "Ġ 西",
+      "Ġè ¥¿",
+      "Ġκα ÏĦά",
+      "ॠ¦",
+      "ìĹ Ĩ",
+      "Ġ خدÙħ",
+      "ĠØ® دÙħ",
+      "Ġخد Ùħ",
+      "ا سÙħ",
+      "اس Ùħ",
+      "Îij Ρ",
+      "ĠA ma",
+      "ĠAm a",
+      "å¥ ¥",
+      "Ġبزر Ú¯",
+      "Ġ ÐĴÑĸн",
+      "ĠÐĴ Ñĸн",
+      "Ġ Åĺ",
+      "ĠÅ ĺ",
+      "Ġ à¸Īาà¸ģ",
+      "Ġà¸Ī าà¸ģ",
+      "ĠÑħаÑĢакÑĤ еÑĢ",
+      "ĠÄij á»Ļi",
+      "ĠÄijá»Ļ i",
+      "ĠÑĢоз виÑĤ",
+      "ĠÑĢозви ÑĤ",
+      "ĠпÑĢоÑĦ еÑģ",
+      "Ġкон ÑĤÑĢ",
+      "ĠконÑĤ ÑĢ",
+      "ÎŁ ÎĽ",
+      "ÎŁÎ Ľ",
+      "Ġm inh",
+      "Ġmin h",
+      "Ġmi nh",
+      "ä¼ ij",
+      "ì ª½",
+      "Ġch Æ¡i",
+      "з аÑĨии",
+      "за ÑĨии",
+      "ĠдÑĸÑı лÑĮ",
+      "ë Ĩ",
+      "Ġn gay",
+      "Ġng ay",
+      "Ġnga y",
+      "à¥Ĥ à¤Ĥ",
+      "Ġiht iy",
+      "éĽ ª",
+      "Ġ ê´Ģ리ìŀIJ",
+      "Ġê´Ģ리 ìŀIJ",
+      "Ġc ụ",
+      "Ġ ì§Ī",
+      "Ġì§ Ī",
+      "ÙĬ Ø«",
+      "ặ p",
+      "ÙĪ اع",
+      "ÙĪا ع",
+      "ãģĤ ãģ£ãģŁ",
+      "Ġ çľ",
+      "Ġç ľ",
+      "Ġ ìļ°ë¦¬",
+      "Ġìļ° 리",
+      "à¹Ī à¸ĩà¸Ĥ",
+      "à¹Īà¸ĩ à¸Ĥ",
+      "Ġ çŃ",
+      "Ġç Ń",
+      ") ØĮ",
+      "Ãł m",
+      "ÙĦ ÛĮÙĦ",
+      "ÙĦÛĮ ÙĦ",
+      "Ġ 걸",
+      "Ġê± ¸",
+      "алÑĮ ниÑħ",
+      "æŶ åĢĻ",
+      "un dan",
+      "und an",
+      "unda n",
+      "Ġ Gün",
+      "ĠG ün",
+      "ĠGü n",
+      "Ġ topl",
+      "Ġt opl",
+      "Ġto pl",
+      "Ġtop l",
+      "ĠÑĢек омен",
+      "ĠاÙĨت خاب",
+      "Ãł u",
+      "Äį ka",
+      "ë° Ģ",
+      "Ġк ÑĢаÑģ",
+      "ĠкÑĢа Ñģ",
+      "л оп",
+      "ло п",
+      "å¼ µ",
+      "ĠاÙĦ Ùħع",
+      "ĠاÙĦÙħ ع",
+      "m ÃŃn",
+      "mÃŃ n",
+      "Ġv iết",
+      "Ġvi ết",
+      "Ġ ê°ĻìĿĢ",
+      "Ġê°Ļ ìĿĢ",
+      "ut eÄį",
+      "ute Äį",
+      "Ġ nech",
+      "Ġn ech",
+      "Ġne ch",
+      "Ġnec h",
+      "çµ Ĥ",
+      "ãģª ãģĮ",
+      "ay ın",
+      "ayı n",
+      "Ġ Äįin",
+      "ĠÄį in",
+      "ĠÄįi n",
+      "ch ázÃŃ",
+      "cház ÃŃ",
+      "اÙģ ظ",
+      "ÑĢ оваÑĤÑĮ",
+      "ÑĢов аÑĤÑĮ",
+      "ÑĢо ваÑĤÑĮ",
+      "ÑĢова ÑĤÑĮ",
+      "à¹Ħ ร",
+      "Ġ ãĤ¤",
+      "ĠãĤ ¤",
+      "Ġзаб олева",
+      "Ġ å±±",
+      "Ġå± ±",
+      "Ġka dın",
+      "Ġkad ın",
+      "ÏĦ ηÏĤ",
+      "ÏĦη ÏĤ",
+      "а лиÑģÑĮ",
+      "ал иÑģÑĮ",
+      "али ÑģÑĮ",
+      "Ġh ük",
+      "åĵ ¥",
+      "Ġп еÑĢи",
+      "ĠпеÑĢ и",
+      "ÅĻ ád",
+      "Ġà¤ħ स",
+      "Ġ ÑģÑĤвоÑĢ",
+      "ĠÑģÑĤ воÑĢ",
+      "ĠÙĪ ÛĮÚ©ÛĮ",
+      "ĠÙĪÛĮ Ú©ÛĮ",
+      "Ġ ì¡",
+      "Ġì ¡",
+      "Ġc á»Ńa",
+      "Ġcá»Ń a",
+      "Ġh iá»ĥu",
+      "游 æĪı",
+      "ÑĮ омÑĥ",
+      "Ġg ó",
+      "Ġt oh",
+      "Ġto h",
+      "Ġб ла",
+      "Ġбл а",
+      "Ġ åij",
+      "Ġå ij",
+      "Ġп ло",
+      "Ġпл о",
+      "и ÑĪ",
+      "ĠÄij ấu",
+      "s kou",
+      "sk ou",
+      "sko u",
+      "ãĤĪ ãĤĬ",
+      "ู à¸Ľ",
+      "Ġr á»ĵi",
+      "оп ÑĢоÑģ",
+      "н олог",
+      "ĠÑĤ ÑĢав",
+      "ĠÑĤÑĢ ав",
+      "ĠÑĤÑĢа в",
+      "ĠWay back",
+      "Ġ à¹Ĩ",
+      "ĠÑĥ ÑĩаÑģÑĤ",
+      "ĠÑĥÑĩ аÑģÑĤ",
+      "ĠÑĥÑĩа ÑģÑĤ",
+      "ĠÑĥÑĩаÑģ ÑĤ",
+      "ĠпÑĢеп аÑĢа",
+      "Ġd ạng",
+      "ĠÃľ n",
+      "à¹Ħล à¸Ļ",
+      "Ġد اخ",
+      "Ġs Æ¡",
+      "Ġk oy",
+      "Ġko y",
+      "ëĿ¼ ê³ł",
+      "ĠÄij úng",
+      "à¥ĩà¤Ĥ ,",
+      "Ġgeç ir",
+      "ĠÑıк Ñīо",
+      "Ñģ ÑĤÑĢо",
+      "ÑģÑĤ ÑĢо",
+      "ÑģÑĤÑĢ о",
+      "ен ÑĤов",
+      "енÑĤ ов",
+      "Ñĸ ж",
+      "к ÑĥÑİ",
+      "кÑĥ Ñİ",
+      "Ġe ÄŁitim",
+      "ĠeÄŁit im",
+      "à¥įर स",
+      "Ġ Сп",
+      "ĠС п",
+      "ا تÛĮ",
+      "ات ÛĮ",
+      "ãģij ãĤĭ",
+      "ÏĦ Ïīν",
+      "ÏĦÏī ν",
+      "Ġ км",
+      "Ġк м",
+      "âĸįâĸį âĸįâĸį",
+      "j ist",
+      "ji st",
+      "jis t",
+      "ÑĤ ак",
+      "ÑĤа к",
+      "Ġ åIJįåīį",
+      "ĠåIJį åīį",
+      "é¡ Ķ",
+      "л Ñĭ",
+      "Ġkh ảo",
+      "Ġkhả o",
+      "âĢĻ Ñı",
+      "ĠÙħ ÙĦÛĮ",
+      "ĠÙħÙĦ ÛĮ",
+      "l ož",
+      "lo ž",
+      "Ġ ìĸ¸",
+      "Ġìĸ ¸",
+      "Ġg ần",
+      "Ġ à¤ľà¤°",
+      "Ġà¤ľ र",
+      "ब र",
+      "Îķ Σ",
+      "า à¸Ľ",
+      "าภĽ",
+      "Ġn ás",
+      "Ġná s",
+      "form ace",
+      "forma ce",
+      "Ġet mek",
+      "Ġetm ek",
+      "Ġetme k",
+      "в еÑģÑĤ",
+      "ве ÑģÑĤ",
+      "ìĸ´ ìļĶ",
+      "Ġत थ",
+      "ĠÑģ ек",
+      "ξ η",
+      "æ¯ Ľ",
+      "B ir",
+      "Bi r",
+      "Ġ ìŀĦ",
+      "Ġìŀ Ħ",
+      "Ġv ardır",
+      "Ġvar dır",
+      "Ġvardı r",
+      "ÙĪ اÙĦ",
+      "ÙĪا ÙĦ",
+      "Ä° R",
+      "ov ané",
+      "ova né",
+      "ovan é",
+      "н аÑĢод",
+      "на ÑĢод",
+      "наÑĢ од",
+      "à¸Ħ ำ",
+      "e mek",
+      "em ek",
+      "eme k",
+      "ĠÎķ ÏĢ",
+      "Ġ ÅĻe",
+      "ĠÅĻ e",
+      "ãģ¾ ãģĽ",
+      "uyá»ĩ t",
+      "Ġ ìĸ¼",
+      "Ġìĸ ¼",
+      "r ů",
+      "Ġ onu",
+      "Ġo nu",
+      "Ġon u",
+      "à¹Ģà¸ķ à¸Ńร",
+      "од аÑĢ",
+      "ода ÑĢ",
+      "ز Ùĩ",
+      "Ġk av",
+      "Ġka v",
+      "о нÑĭ",
+      "он Ñĭ",
+      "Ġв еÑģ",
+      "Ġве Ñģ",
+      "ìĤ¬ ì§Ģ",
+      "Ġг ла",
+      "Ã Ŀ",
+      "ĠÙĤ ÛĮÙħت",
+      "çķ ¥",
+      "à¸ĸ าà¸Ļ",
+      "Äį il",
+      "Äįi l",
+      "Ġ ä¸ĩ",
+      "Ġä¸ ĩ",
+      "è¾ ĥ",
+      "åħ ħ",
+      "Ġ ÑĢед",
+      "ĠÑĢ ед",
+      "ĠÑĢе д",
+      "ม ห",
+      "am ilia",
+      "ami lia",
+      "amil ia",
+      "à¥ĩ à¤ķर",
+      "à¥ĩà¤ķ र",
+      "Ġt á»iji",
+      "Ġtá»ij i",
+      "Ùģ ÛĮ",
+      "ÑĢ ÑĸÑĪ",
+      "ÑĢÑĸ ÑĪ",
+      "ìķ ł",
+      "à¸Ļ ส",
+      "à¸Ī ร",
+      "à¥ĩ शन",
+      "à¥ĩश न",
+      "ĠÙħÙĪ ضÙĪع",
+      "æī ¹",
+      "Ġob sah",
+      "Ġobs ah",
+      "Ġнав Ñĩ",
+      "Ġdes tek",
+      "Ġdest ek",
+      "Ġdeste k",
+      "Ġ zas",
+      "Ġz as",
+      "Ġza s",
+      "å ĵį",
+      "åĵ į",
+      "üm üz",
+      "ümü z",
+      "Ġ çŁ",
+      "Ġç Ł",
+      "Ġ è¨",
+      "Ġè ¨",
+      "Ù ¬",
+      "ç» Ī",
+      "Ġz de",
+      "Ġzd e",
+      "Ġz áp",
+      "Ġzá p",
+      "à¥Ĥ सर",
+      "à¥Ĥस र",
+      "ìĿ´ ì§Ģ",
+      "çļ ®",
+      "l om",
+      "lo m",
+      "ॠ§",
+      "ÙĦ اÙĤ",
+      "ÙĦا ÙĤ",
+      "à¸Ļ à¸ķ",
+      "íĮ ħ",
+      "л ада",
+      "ла да",
+      "лад а",
+      "m asına",
+      "mas ına",
+      "ması na",
+      "ãģ® ãģ§",
+      "ëĵ¤ ìĿĦ",
+      "Ġн аг",
+      "Ġна г",
+      "m asını",
+      "mas ını",
+      "ãĤ Ŀ",
+      "ın ıf",
+      "ını f",
+      "åĽ ´",
+      "Ġböl üm",
+      "å¥ ĸ",
+      "æ¨ Ļ",
+      "ÙĦ اØŃ",
+      "ÙĦا ØŃ",
+      "Ġг оÑģÑĥдаÑĢ",
+      "داÙĨ ÙĦÙĪد",
+      "Ġп оÑĤÑĢеб",
+      "ĠпоÑĤ ÑĢеб",
+      "ĠÑĢ оÑĨÑĸ",
+      "о га",
+      "ог а",
+      "ĠÑģлед ÑĥеÑĤ",
+      "Ġп аÑĢа",
+      "ĠпаÑĢ а",
+      "Ġпа ÑĢа",
+      "é ¼",
+      "ãģį ãģŁ",
+      "ί ζ",
+      "Ġb á»ij",
+      "ÑĤ Ñĸв",
+      "ÑĤÑĸ в",
+      "ï¼Į 她",
+      "f amilia",
+      "éł ħ",
+      "Ġد ÙĦ",
+      "Ġs kup",
+      "Ġsk up",
+      "Ġsku p",
+      "еÑĩ ение",
+      "ãģĵãģ¨ ãģĮ",
+      "à¥Ģ ब",
+      "ุ ล",
+      "¨ ë¶Ģ",
+      "ĠاÙĦع رب",
+      "Ġ ç¾İ",
+      "Ġç¾ İ",
+      "ĠاÙĦ ÙħÙĪ",
+      "ĠاÙĦÙħ ÙĪ",
+      "Ġ Ø¥ÙĨ",
+      "ĠØ¥ ÙĨ",
+      "Ġná sled",
+      "Ġnás led",
+      "Ġt omu",
+      "Ġto mu",
+      "Ġtom u",
+      "Î Ħ",
+      "Ġз ави",
+      "Ġза ви",
+      "Ġзав и",
+      "Ġn hu",
+      "Ġnh u",
+      "ĠpÅĻed stav",
+      "ìłķ ë³´",
+      "o kol",
+      "ok ol",
+      "oko l",
+      "Ġк ÑĢи",
+      "a du",
+      "ad u",
+      "Ġ каÑĤ",
+      "Ġк аÑĤ",
+      "Ġка ÑĤ",
+      "Ġ ÑįÑĦ",
+      "ĠÑį ÑĦ",
+      "в ал",
+      "ва л",
+      "m ayı",
+      "ma yı",
+      "may ı",
+      "ĠÑĩаÑģ ÑĤо",
+      "ĠÑĩаÑģÑĤ о",
+      "Ġtr anh",
+      "Ġtra nh",
+      "Ġtran h",
+      "ائ ÙĦ",
+      "ãĤĪãģĨ ãģª",
+      "Ġp oh",
+      "Ġpo h",
+      "ìĥģ ìľĦ",
+      "Ġs ắc",
+      "Ùĥ س",
+      "Ġ мÑĥ",
+      "Ġм Ñĥ",
+      ". ::",
+      ".: :",
+      "ë Ī",
+      "» Ċ",
+      "Ġ ÙĨÚ¯",
+      "ĠÙĨ Ú¯",
+      "ÙIJ ÙĨ",
+      "н иком",
+      "ни ком",
+      "ник ом",
+      "Ñħ а",
+      "Ġ μοÏħ",
+      "Ġμ οÏħ",
+      "Ġμο Ïħ",
+      "ĠNg uyá»ħn",
+      "ĠвÑĭ Ñģок",
+      "ĠвÑĭÑģ ок",
+      "Ġ ÐŁÐ¾Ð´",
+      "ĠÐŁ од",
+      "ĠÐŁÐ¾ д",
+      "ĠпÑĢи ÑĢод",
+      "à¥ĭ ध",
+      "िà¤ķ ल",
+      "и ÑĢа",
+      "иÑĢ а",
+      "ëĭ¤ ê³ł",
+      "Ġm ajÃŃ",
+      "Ġma jÃŃ",
+      "Ġmaj ÃŃ",
+      "Ġv ùng",
+      "Ġtarih inde",
+      "Ġtarihi nde",
+      "Ġ ваÑĢ",
+      "Ġв аÑĢ",
+      "Ġва ÑĢ",
+      "н иÑĤÑĮ",
+      "ни ÑĤÑĮ",
+      "ниÑĤ ÑĮ",
+      "ει ÏĤ",
+      "Ġ åĩº",
+      "Ġåĩ º",
+      "dy ž",
+      "ÏĦ Ïİν",
+      "ÏĦÏİ Î½",
+      "ä½ĵ èĤ²",
+      "Ġ à¹Ģว",
+      "Ġà¹Ģ ว",
+      "Ġà¹Ģภ§",
+      "Ġà¤ħ à¤ļ",
+      "Ġ اÙĨÚ¯ÙĦÛĮسÛĮ",
+      "ĠاÙĨÚ¯ ÙĦÛĮسÛĮ",
+      "à¥įय म",
+      "Ġgel iÅŁ",
+      "æ¹ ĸ",
+      "Ġ اک",
+      "Ġا Ú©",
+      "Ġп лан",
+      "Ġпл ан",
+      "Ġпла н",
+      "k yt",
+      "ky t",
+      "ا بÛĮ",
+      "اب ÛĮ",
+      "κ ι",
+      "Ġc hung",
+      "Ġch ung",
+      "Ġchu ng",
+      "ान à¤ķ",
+      "s ı",
+      "Ġt inh",
+      "Ġti nh",
+      "Ġtin h",
+      "ĠÑģÑĤ ол",
+      "ĠÑģÑĤо л",
+      "ÑģÑĤ ÑĢÑĥ",
+      "ÑģÑĤÑĢ Ñĥ",
+      "Ġли ÑĪе",
+      "ĠлиÑĪ е",
+      "Ġви ÑĢоб",
+      "il miÅŁ",
+      "ilm iÅŁ",
+      "Ġ зÑĸ",
+      "Ġз Ñĸ",
+      "ç» Ĩ",
+      "åĢ Ĵ",
+      "ãĤ· ãĥ£",
+      "åŃ ©",
+      "Ġ à¹Ĥรà¸ĩà¹Ģร",
+      "Ġà¹Ĥ รà¸ĩà¹Ģร",
+      "Ġà¹Ĥรà¸ĩ à¹Ģร",
+      "íĻ ľ",
+      "ĠбÑĥд е",
+      "ĠбÑĥ де",
+      "Ġyak laÅŁ",
+      "èĩª åĪĨ",
+      "Ġ ÙģÙĪ",
+      "ĠÙģ ÙĪ",
+      "С Т",
+      "Ġso run",
+      "Ġsor un",
+      "Ġsoru n",
+      "à¹Ģ à¸ł",
+      "à¹Ģภł",
+      "Ġc ô",
+      "в иÑĩ",
+      "ви Ñĩ",
+      "ëĵ¤ ìĿĺ",
+      "Ġtr iá»ĩu",
+      "Ġtri á»ĩu",
+      "Ġr õ",
+      "Ġ ãģ«",
+      "ÄŁ im",
+      "ÄŁi m",
+      "iyor uz",
+      "è ľ",
+      "à¥įर व",
+      "Ġس Ù¾",
+      "Ġ ìĦľìļ¸",
+      "ĠìĦľ ìļ¸",
+      "δ ε",
+      "еÑĢ ÑĪ",
+      "Ġ أس",
+      "ĠØ£ س",
+      "äº ŀ",
+      "è¯ į",
+      "п ÑĤом",
+      "ฤ ษ",
+      "Ġساز ÙħاÙĨ",
+      "Ġlu ôn",
+      "Ùĩ ÙĪر",
+      "c ü",
+      "аÑĤ кÑĥ",
+      "Ġo labilir",
+      "Ġol abilir",
+      "Ġolab ilir",
+      "Ġola bilir",
+      "Ġ ìĹ°êµ¬",
+      "ĠìĹ° 구",
+      "ен ной",
+      "енно й",
+      "Ġ æĪij",
+      "ĠæĪ ij",
+      "Ġ него",
+      "Ġн его",
+      "Ġне го",
+      "Ġнег о",
+      "Ġ. **************",
+      "ิ à¸ĺ",
+      "Ġ ãĤ·",
+      "ĠãĤ ·",
+      "ت Ùģ",
+      "ÐŁ ÑĢо",
+      "ÐŁÑĢ о",
+      "Ġhakk ında",
+      "Ġhakkı nda",
+      "Äį nÄĽ",
+      "ĠM ỹ",
+      "é ½",
+      "ĠÏĥ ÏĦον",
+      "ĠÏĥÏĦο ν",
+      "Ġ âm",
+      "Ġâ m",
+      "§ ظ",
+      "ĠÅŁ irket",
+      "æĥħ åĨµ",
+      "ĠØ¢ÙħÙĪز Ø´",
+      "λ εÏħ",
+      "λε Ïħ",
+      "Ùħ Ùĩ",
+      "è¦ ı",
+      "ãģ¨ æĢĿ",
+      "Ġ ÙĪع",
+      "ĠÙĪ ع",
+      "ÏĪ η",
+      "Ïģ οÏį",
+      "Ïģο Ïį",
+      "Ġ ÂłĊ",
+      "ĠÂł Ċ",
+      "δ η",
+      "ÑĪ ов",
+      "åĪ ¤",
+      "Ġm ắt",
+      "æĭ ¿",
+      "à¸Ļ à¸Ķ",
+      "éĻ Ħ",
+      "à¹ī ม",
+      "ĠÄij ạt",
+      "Ġg üzel",
+      "Ġgü zel",
+      "m Ã¼ÅŁ",
+      "Ðŀ ÐĴ",
+      "çĭ ¬",
+      "리 를",
+      "Ġп лаÑĤ",
+      "Ġпл аÑĤ",
+      "Ġпла ÑĤ",
+      "Ġngh á»ĭ",
+      "ĠÑĤак иÑħ",
+      "ĠÑĤа киÑħ",
+      "б иÑĢа",
+      "би ÑĢа",
+      "Ġн ек",
+      "Ġне к",
+      "ÑģÑĮ кÑĸ",
+      "ÑģÑĮк Ñĸ",
+      "رÙĬ اض",
+      "o nu",
+      "on u",
+      "à¥ĭ म",
+      "ĠGi Ỽi",
+      "ĠGiá» Ľi",
+      "èŀ į",
+      "é ²",
+      "ĠGe nel",
+      "ĠGen el",
+      "ĠGene l",
+      "åĬ ¿",
+      "Ġ вÑĸ",
+      "Ġв Ñĸ",
+      "å§ IJ",
+      "è© ¦",
+      "ĠжиÑĤ ÑĤÑı",
+      "Ġ ìĺ¨",
+      "Ġìĺ ¨",
+      "åĩº æĿ¥",
+      "Ġt á»ij",
+      "Ġtá» ij",
+      "Ġl ao",
+      "Ġla o",
+      "ί ο",
+      "ĠÎł α",
+      "н иÑĤелÑĮ",
+      "ниÑĤ елÑĮ",
+      "ниÑĤе лÑĮ",
+      "éļ İ",
+      "Ġви кон",
+      "Ġвик он",
+      "Ġвико н",
+      "ĠÙģ عاÙĦ",
+      "ĠÙģع اÙĦ",
+      "à¹Ģ ศ",
+      "à¹Ģภ¨",
+      "ÏĮ γ",
+      "ĠоÑĢгани з",
+      "ĠоÑĢган из",
+      "Ġ емÑĥ",
+      "Ġе мÑĥ",
+      "Ġем Ñĥ",
+      "Ġ ÙĬع",
+      "ĠÙĬ ع",
+      "ĠÙħ ب",
+      "ाल य",
+      "ĠÎľ ÏĢ",
+      "é ¸",
+      "ù a",
+      "ê¸ ¸",
+      "Ġ ÄIJiá»ģu",
+      "ĠÄIJ iá»ģu",
+      "ε ίο",
+      "εί ο",
+      "äº ī",
+      "ượ t",
+      "ÑĢа зÑĥ",
+      "ÑĢаз Ñĥ",
+      "ĠоÑĤ ÑĢим",
+      "ĠоÑĤÑĢи м",
+      "Ġ طب",
+      "ĠØ· ب",
+      "Ġ 以",
+      "æĸ Ĺ",
+      "ë° ±",
+      "à¤ĩ स",
+      "ë§Į ìĽIJ",
+      "ãĢģ ãģĿãģ®",
+      "ĠëķĮ 문",
+      "ĠØ¢ ÛĮ",
+      "С Ðł",
+      "ض ÙĦ",
+      "æ ĵį",
+      "æĵ į",
+      "k azy",
+      "ka zy",
+      "kaz y",
+      "ส ว",
+      "â ng",
+      "ân g",
+      "à¤Ĥ à¤Ń",
+      "н ÑĸÑĩ",
+      "нÑĸ Ñĩ",
+      "ั à¸ĩà¸ģ",
+      "ัà¸ĩ à¸ģ",
+      "Ġبر رسÛĮ",
+      "ر دÙĩ",
+      "رد Ùĩ",
+      "Ġm ẫu",
+      "à¹Ī วà¸ĩ",
+      "à¹Īว à¸ĩ",
+      "ĠداÙĨØ´ گاÙĩ",
+      "d ıģ",
+      "dı ģ",
+      "ĠT á»ķng",
+      "ĠTá»ķ ng",
+      "第 äºĮ",
+      "c ÃŃm",
+      "cÃŃ m",
+      "Ġb öyle",
+      "Ġbö yle",
+      "ë ¶Ī",
+      "ë¶ Ī",
+      "ĠÙħÙĨ ابع",
+      "à¥ĥ ष",
+      "е ÑĤÑĭ",
+      "еÑĤ Ñĭ",
+      "åĨ ·",
+      "åĽ Ń",
+      "Ġت ÙĪجÙĩ",
+      "ĠتÙĪ جÙĩ",
+      "åĪ »",
+      "æŀ ģ",
+      "à¤Ł न",
+      "л ан",
+      "ла н",
+      "Ġ íĥĢ",
+      "Ġíĥ Ģ",
+      "ä½ IJ",
+      "Ġ обÑĭ",
+      "Ġо бÑĭ",
+      "Ġоб Ñĭ",
+      "å¸ Ŀ",
+      "ì» ¤",
+      "å® Ī",
+      "èµ· æĿ¥",
+      "Ġ ãĥ¬",
+      "Ġãĥ ¬",
+      "çİ ī",
+      "à¹Ģ หล",
+      "à¹Ģห ล",
+      "и не",
+      "ин е",
+      "ห าร",
+      "หา ร",
+      "éļ ı",
+      "Ġг аз",
+      "ĠاÙĦ عÙħÙĦ",
+      "ĠاÙĦع ÙħÙĦ",
+      "ĠاÙĦعÙħ ÙĦ",
+      "à¥ģ à¤Ŀ",
+      "à¥ģठĿ",
+      "Ïģ ιο",
+      "Ïģι ο",
+      "Ġv ám",
+      "Ġvá m",
+      "Ġع ÙĨد",
+      "ĠعÙĨ د",
+      "ÙĨد گاÙĨ",
+      "ï¼Į éĤ£",
+      "Ġна Ñħод",
+      "á no",
+      "án o",
+      "ÛĮ اÙĨ",
+      "ÛĮا ÙĨ",
+      "ĠØ£ ع",
+      "Ġ ÑĢади",
+      "ĠÑĢ ади",
+      "ĠÑĢа ди",
+      "ĠÑĢад и",
+      "Ġм ене",
+      "Ġмен е",
+      "Ġú da",
+      "Ïĩ ν",
+      "ÑĥлÑı ÑĢ",
+      "à¥Ģ प",
+      "Ġpou žÃŃ",
+      "Ġ ä¸",
+      "ĠÙĤ اÙĨÙĪÙĨ",
+      "ι κοÏį",
+      "ικ οÏį",
+      "ικο Ïį",
+      "á y",
+      "Ġç öz",
+      "ÏĦ Ïģ",
+      "ÙĨ اÙħ",
+      "ÙĨا Ùħ",
+      "ุ à¸ķ",
+      "åĵ ª",
+      "ÙĬ ب",
+      "ä¹ °",
+      "ÐĶ лÑı",
+      "Ġ ëłĪ벨",
+      "ĠëłĪ 벨",
+      "ุ à¸ļ",
+      "н ÑĥÑĤи",
+      "нÑĥ ÑĤи",
+      "нÑĥÑĤ и",
+      "è½ »",
+      "ĠÎľ α",
+      "Ġ è¦",
+      "Ġè ¦",
+      "аÑĤ ков",
+      "Ġ ëĪĦ",
+      "ĠëĪ Ħ",
+      "Ġt uyá»ĥn",
+      "Ġtuy á»ĥn",
+      "Ùİ Ùħ",
+      "ĠвÑĭ пол",
+      "ĠвÑĭп ол",
+      "Ġst udi",
+      "Ġstud i",
+      "Ġstu di",
+      "ĠpÅĻ ek",
+      "ĠpÅĻe k",
+      "Ġз ам",
+      "Ġза м",
+      "Ġmat eri",
+      "Ġma teri",
+      "Ġmate ri",
+      "Ġmater i",
+      "åİ ĭ",
+      "Ġ ал",
+      "Ġа л",
+      "Ġ à¸ļร",
+      "Ġà¸ļ ร",
+      "Ø· ØŃ",
+      "ĠÙħر Ú©",
+      "Ġ ìĭ¬",
+      "Ġìĭ ¬",
+      "ĠÙĤ ابÙĦ",
+      "ĠÙĤاب ÙĦ",
+      "ĠÐIJ ле",
+      "ĠÐIJл е",
+      "ın tı",
+      "Ġ å»",
+      "Ġå »",
+      "Ä° K",
+      "ëħĦ ëıĦ",
+      "Ñĭ ваÑĤÑĮ",
+      "Ñĭв аÑĤÑĮ",
+      "Ñĭва ÑĤÑĮ",
+      "Ġdev let",
+      "社 ä¼ļ",
+      "ëĤ ł",
+      "Ġko lay",
+      "Ġkol ay",
+      "Ġkola y",
+      "ĠÑĢазв иÑĤи",
+      "ĠÑĢазви ÑĤи",
+      "а ди",
+      "ад и",
+      "ئ ÙĬس",
+      "a dıģı",
+      "ad ıģı",
+      "adı ģı",
+      "adıģ ı",
+      "Îij ÎĽ",
+      "Ġ hoa",
+      "Ġh oa",
+      "Ġho a",
+      "Ġ ศ",
+      "Ġภ¨",
+      "ı ÅŁtır",
+      "Ä±ÅŁ tır",
+      "ÑĢ Ñİ",
+      "Ġк аÑĩе",
+      "Ġка Ñĩе",
+      "¼ åIJĪ",
+      "åħ ´",
+      "Ġ ê·¸ëŁ¬",
+      "Ġê·¸ 룬",
+      "Ġм ÑĸÑģÑĤ",
+      "ĠмÑĸ ÑģÑĤ",
+      "ĠмÑĸÑģ ÑĤ",
+      "Ġм не",
+      "Ġмн е",
+      "ãĥ¼ ãĤº",
+      "ãĥ¼ãĤ º",
+      "ç§ Ģ",
+      "Ġع ÙĦÙĬÙĩ",
+      "ĠعÙĦ ÙĬÙĩ",
+      "ĠعÙĦÙĬ Ùĩ",
+      "Ġ ìĭľê°Ħ",
+      "Ġìĭľ ê°Ħ",
+      "Ġà¤ĺ र",
+      "Ġ Ñĥг",
+      "ĠÑĥ г",
+      "åıij å±ķ",
+      "ı ÅŁÄ±",
+      "Ä±ÅŁ ı",
+      "Ġ ìĪľ",
+      "ĠìĪ ľ",
+      "Ġ íĻľ",
+      "ĠíĻ ľ",
+      "æ¡ £",
+      "Ġn okt",
+      "Ġno kt",
+      "Ġnok t",
+      "l ém",
+      "lé m",
+      "ен нÑĭй",
+      "Ġب Ùħ",
+      "à¥ĩ य",
+      "à¥ĩठ¯",
+      "о дав",
+      "од ав",
+      "ода в",
+      "à¹Ĥ ร",
+      "ï¼Į æľī",
+      "ا ÙĬات",
+      "اÙĬ ات",
+      "اÙĬا ت",
+      "ا ÛĮÙĩ",
+      "اÛĮ Ùĩ",
+      "Ġà¤īप य",
+      "Ġs mÄĽ",
+      "Ġsm ÄĽ",
+      "ش د",
+      "Ш ÐIJ",
+      "Ġا ÙħاÙħ",
+      "ĠاÙħ اÙħ",
+      "ĠاÙħا Ùħ",
+      "æ¿ Ģ",
+      "Ġho ạch",
+      "об ÑĢаз",
+      "обÑĢаР·",
+      "à¥ĭ ह",
+      "ĠÑĢеб ен",
+      "иÑĤ елÑı",
+      "иÑĤе лÑı",
+      "ãģªãģĮ ãĤī",
+      "س اÙĦ",
+      "Ġ à¸Īำ",
+      "Ġà¸Ī ำ",
+      "Ġ خاص",
+      "ĠØ® اص",
+      "Ġg eri",
+      "Ġge ri",
+      "Ġger i",
+      "ठĺ",
+      "Ġ ìº",
+      "Ġì º",
+      "à¹ģ à¸Ĺ",
+      "âĢĮ ÛĮ",
+      "Ú¯ رÛĮ",
+      "گر ÛĮ",
+      "ا Ùħبر",
+      "اÙħ بر",
+      "ÑĪ Ñĥ",
+      "Ġp hong",
+      "Ġph ong",
+      "Ġphon g",
+      "и мо",
+      "им о",
+      "п а",
+      "Ġ ìµľê³ł",
+      "Ġìµľ ê³ł",
+      "Ġ нам",
+      "Ġн ам",
+      "Ġна м",
+      "o stÃŃ",
+      "os tÃŃ",
+      "ost ÃŃ",
+      "is ini",
+      "isi ni",
+      "isin i",
+      "Ġд Ñĥже",
+      "ĠдÑĥ же",
+      "Ñģ ком",
+      "Ñģк ом",
+      "Ñģко м",
+      "ĠпÑĢод Ñĥк",
+      "ÏĮ ÏĦηÏĦα",
+      "ÏĮÏĦη ÏĦα",
+      "a ln",
+      "al n",
+      "is ine",
+      "isi ne",
+      "isin e",
+      "è¿ ľ",
+      "алÑĮ ной",
+      "алÑĮно й",
+      "त र",
+      "t ıģ",
+      "tı ģ",
+      "Ġë Ĵ",
+      "è¿ĺ æĺ¯",
+      "ĠÙħ Ø«ÙĦ",
+      "ĠÙħØ« ÙĦ",
+      "ìľ ¨",
+      "ï¾ ĺ",
+      "åĪ ¸",
+      "ç ¶ļ",
+      "ç¶ ļ",
+      "ج اد",
+      "جا د",
+      "Ġ кÑĥ",
+      "Ġк Ñĥ",
+      "åĢ ij",
+      "o vu",
+      "ov u",
+      "Ġs Ä©",
+      "Ġ ìłIJ",
+      "Ġìł IJ",
+      "ĠÑĥ ÑĢов",
+      "ि à¤ļ",
+      "िठļ",
+      "ov ali",
+      "ova li",
+      "oval i",
+      "Ġ ÙĪÙĨ",
+      "ĠÙĪ ÙĨ",
+      "Ġ ìĿĮ",
+      "ĠìĿ Į",
+      "Ġк г",
+      "า à¸ĺ",
+      "าภĺ",
+      "ÏĦ Ïģα",
+      "ÏĦÏģ α",
+      "ž dy",
+      "à¹Į à¸ķ",
+      "Ġ nÄĽm",
+      "ĠnÄĽ m",
+      "Ġ Це",
+      "ĠЦ е",
+      "n oho",
+      "no ho",
+      "Ġëĭ¤ ìĭľ",
+      "Ġté to",
+      "Ġb iá»ĥu",
+      "ĠY ön",
+      "Ġpr áce",
+      "Ġprá ce",
+      "à¥ī र",
+      "Ġch ÃŃ",
+      "ов ой",
+      "ово й",
+      "Ġm ợ",
+      "Ġmá» Ł",
+      "èª ª",
+      "Ïİ ÏĤ",
+      "в олÑı",
+      "во лÑı",
+      "вол Ñı",
+      "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "å¯ ¦",
+      "é» ŀ",
+      "Ġà¤ı व",
+      "Ïħ να",
+      "Ïħν α",
+      "å² ¡",
+      "kh ông",
+      "ĠpÅĻÃŃpad ÄĽ",
+      "å Ĺ",
+      "Ġبد ÙĪÙĨ",
+      "Ïĥ κε",
+      "Ïĥκ ε",
+      "Ġdik kat",
+      "ĠAn cak",
+      "ĠAnc ak",
+      "Ġt iá»ĩn",
+      "Ġti á»ĩn",
+      "éĿ Ļ",
+      "Ġ ìĿ¼ë°ĺ",
+      "ĠìĿ¼ ë°ĺ",
+      "ĠÄį len",
+      "ìķ ħ",
+      "ा à¤ĩन",
+      "ाà¤ĩ न",
+      "ãģ£ ãģ¦ãģĦãģŁ",
+      "ãģ£ãģ¦ ãģĦãģŁ",
+      "ãģ£ãģ¦ãģĦ ãģŁ",
+      "ĠìĿ´ ìļ©",
+      "ÙĪ ÙħÛĮ",
+      "ÙĪÙħ ÛĮ",
+      "i ná",
+      "in á",
+      "ặ ng",
+      "ặn g",
+      "Ïİ Ïģα",
+      "ÙĨ ÙĬØ©",
+      "ÙĨÙĬ Ø©",
+      "в аж",
+      "ва ж",
+      "è İ·",
+      "èİ ·",
+      "å© ļ",
+      "ĠÅŁ u",
+      "Ġ ãģĬ",
+      "Ġد رب",
+      "Ġدر ب",
+      "Ġd iá»ħn",
+      "ÅĻ eba",
+      "ÅĻe ba",
+      "ÅĻeb a",
+      "as ının",
+      "asını n",
+      "ç½ij ç«Ļ",
+      "н ÑĮого",
+      "нÑĮ ого",
+      "нÑĮо го",
+      "ĠاÙĦØ£ ÙĪÙĦ",
+      "ικ ÎŃÏĤ",
+      "Ġz ÃŃsk",
+      "о ло",
+      "ол о",
+      "ĠÑį ÑĤоÑĤ",
+      "ĠÑįÑĤ оÑĤ",
+      "ĠÑįÑĤо ÑĤ",
+      "Ġp okud",
+      "Ġpo kud",
+      "Ġpok ud",
+      "è² »",
+      "е ÑĢÑĸв",
+      "еÑĢ Ñĸв",
+      "еÑĢÑĸ в",
+      "ãĥķ ãĤ£",
+      "ãĥķãĤ £",
+      "иÑĤÑĥ а",
+      "Ġv yd",
+      "Ġvy d",
+      "о лож",
+      "ол ож",
+      "оло ж",
+      "л ÑıÑĤÑĮ",
+      "лÑı ÑĤÑĮ",
+      "ÙĤ Ùħ",
+      "æ´ ĭ",
+      "æ§ ĭ",
+      "Ġغ ÛĮر",
+      "Ġ stÅĻed",
+      "Ġst ÅĻed",
+      "ĠstÅĻ ed",
+      "ظ ر",
+      "Ġhiç bir",
+      "θ εί",
+      "θε ί",
+      "z nik",
+      "zn ik",
+      "д Ñĭ",
+      "l uv",
+      "lu v",
+      "ĠÙħ ؤ",
+      "ĠÚ¯ رÙĪÙĩ",
+      "Ġگر ÙĪÙĩ",
+      "Ġ ï¼īĊ",
+      "Ġï¼ī Ċ",
+      "t eri",
+      "ter i",
+      "te ri",
+      "ĠÏħ ÏĢο",
+      "ĠÏħÏĢ ο",
+      "v oj",
+      "vo j",
+      "Ġبع ض",
+      "Ġb ilin",
+      "Ġbi lin",
+      "Ġbil in",
+      "Ġ رÙĪØ´",
+      "Ġر ÙĪØ´",
+      "ĠرÙĪ Ø´",
+      "Ġоб Ñıз",
+      "Ġ ï»",
+      "Ġï »",
+      "س ÙĨ",
+      "Ġ ÏĢα",
+      "ĠÏĢ α",
+      "í į¼",
+      "Ġt ÃŃn",
+      "ĠtÃŃ n",
+      "Ġ ´",
+      "ĠÂ ´",
+      "ìĤ¬ ìĿ´íĬ¸",
+      "ìĤ¬ìĿ´ íĬ¸",
+      "Ġ podob",
+      "Ġpo dob",
+      "Ġpod ob",
+      "Ñī ее",
+      "Ñīе е",
+      "Ġ åįĹ",
+      "Ġåį Ĺ",
+      "Ġb ych",
+      "Ġby ch",
+      "о зи",
+      "оз и",
+      "ĠV Äĥn",
+      "ØŃ Ùĩ",
+      "åѦ éĻ¢",
+      "ĠÅĻ ekl",
+      "ĠÅĻe kl",
+      "ĠÅĻek l",
+      "립 ëĭĪëĭ¤",
+      "Ġп ÑĢоÑģ",
+      "ĠпÑĢ оÑģ",
+      "ĠпÑĢо Ñģ",
+      "κ ά",
+      "ĠbaÅŁ ladı",
+      "ủ y",
+      "Ñİ Ð´Ð¶",
+      "ाà¤ı à¤Ĺ",
+      "à¤Ĥ à¤ļ",
+      "Ġ ê´Ģ볨",
+      "Ġê´Ģ 볨",
+      "Ġв опÑĢоÑģ",
+      "ĠÑģÑĤ аÑĤÑĮ",
+      "ĠÑģÑĤаÑĤ ÑĮ",
+      "ĠÑģÑĤа ÑĤÑĮ",
+      "Ġy atırım",
+      "Ġyatır ım",
+      "н Ñĥла",
+      "нÑĥ ла",
+      "нÑĥл а",
+      "ر اÙģ",
+      "را Ùģ",
+      "Ġç eÅŁit",
+      "Ġà¤ī द",
+      "å¤ ®",
+      "Ġпо Ñıв",
+      "åĽ½ 家",
+      "ĠÑģооÑĤвеÑĤ ÑģÑĤв",
+      "ìķ ¡",
+      "ĠØ® ÙĪاÙĩد",
+      "ĠØ®ÙĪاÙĩ د",
+      "ĠØ®ÙĪ اÙĩد",
+      "Å¡ Å¡ÃŃ",
+      "Âł п",
+      "ĠNh Ãł",
+      "' '''",
+      "'' ''",
+      "''' '",
+      "ï½ ¨",
+      "Ã ħ",
+      "Ġ ïº",
+      "Ġï º",
+      "ĠØ¢Ùħ رÛĮÚ©",
+      "lar ımız",
+      "larım ız",
+      "ج ا",
+      "Ùģ ÙĤ",
+      "Ġ á»",
+      "Ġá »",
+      "Ġ ìķł",
+      "Ġìķ ł",
+      "Ġز باÙĨ",
+      "ĠÑĤ воÑĢ",
+      "ĠÑĤв оÑĢ",
+      "н иÑĩеÑģ",
+      "ни ÑĩеÑģ",
+      "ниÑĩ еÑģ",
+      "Ġк ни",
+      "Ø® داÙħ",
+      "à¸Ł ร",
+      "Ġ ì¹ĺ",
+      "Ġì¹ ĺ",
+      "ว าม",
+      "ĠÙħ ÙĩÙħ",
+      "ĠÙħÙĩ Ùħ",
+      "Ġs tol",
+      "Ġst ol",
+      "Ġsto l",
+      "Ġed ilen",
+      "Ġedi len",
+      "Ġedil en",
+      "Ġ pek",
+      "Ġp ek",
+      "Ġpe k",
+      "اÙĨ ات",
+      "اÙĨا ت",
+      "алÑĮ нÑĸ",
+      "Ġнеоб ÑħÑĸд",
+      "à¹Ħ ว",
+      "Ġश र",
+      "Ġ íĮIJ",
+      "ĠíĮ IJ",
+      "Ò ij",
+      "Ġ ним",
+      "Ġн им",
+      "Ġни м",
+      "Ġ à¸ĺ",
+      "Ġภĺ",
+      "æĺ ł",
+      "äº Ĵ",
+      "ĠbaÅŁ ar",
+      "ž i",
+      "Ġм ног",
+      "Ġмн ог",
+      "l endi",
+      "len di",
+      "á vajÃŃ",
+      "áv ajÃŃ",
+      "n ict",
+      "ni ct",
+      "nic t",
+      "Ġд Ñĥм",
+      "ĠдÑĥ м",
+      "éĻ ©",
+      "Ïĥ Ïĥ",
+      "i ky",
+      "ik y",
+      "алÑĮ нÑĭй",
+      "Ġ ÙħÙĨت",
+      "ĠÙħ ÙĨت",
+      "ĠÙħÙĨ ت",
+      "å® ®",
+      "- за",
+      "-з а",
+      "еÑĢ к",
+      "å¡ Ķ",
+      "Ġμε ÏĦα",
+      "oÄŁ un",
+      "oÄŁu n",
+      "ÎĹ Îľ",
+      "à¥Īà¤Ĥ ।Ċ",
+      "à¥Īà¤Ĥ। Ċ",
+      "Äį ky",
+      "å¹³ åı°",
+      "à¥ĭ श",
+      "Ġ ona",
+      "Ġo na",
+      "Ġon a",
+      "Ġ bec",
+      "Ġb ec",
+      "Ġbe c",
+      "ì ¢",
+      "Ġc ây",
+      "Ġcâ y",
+      "k ün",
+      "kü n",
+      "Ġ à¤Ī",
+      "ĠठĪ",
+      "Ġr á»Ļng",
+      "еÑĢ б",
+      "å¹ ¸",
+      "ï¾ IJ",
+      "ĠпÑĸд пÑĢиÑĶм",
+      "çĶ £",
+      "Ġ ÏĦε",
+      "ĠÏĦ ε",
+      "ĠÙĨÙĤ Ø´",
+      "о виÑħ",
+      "ов иÑħ",
+      "ови Ñħ",
+      "ĠÙģ Ùī",
+      "Ðļ ак",
+      "Ùİ Ø±",
+      "Ġ Щ",
+      "ĠÐ ©",
+      "алÑĮ нÑĭÑħ",
+      "Ġk üçük",
+      "èŃ ·",
+      "æĭ ħ",
+      "i caret",
+      "ic aret",
+      "ica ret",
+      "icare t",
+      "Ġ رÙģت",
+      "Ġر Ùģت",
+      "ĠرÙģ ت",
+      "Ġод ного",
+      "Ġодно го",
+      "ÑĪ им",
+      "ÑĪи м",
+      "Ġ бÑĸ",
+      "Ġб Ñĸ",
+      "Ġuygu lam",
+      "Ġ æĭ",
+      "Ġæ ĭ",
+      "ä½ Ľ",
+      "u cu",
+      "uc u",
+      "d ÃŃ",
+      "Å ĺ",
+      "ئ ة",
+      "ê± ¸",
+      "Ù Į",
+      "Ġ ÎłÏģο",
+      "ĠÎł Ïģο",
+      "Ġye rine",
+      "Ġyer ine",
+      "Ġyeri ne",
+      "ĠÑĸн ÑĦоÑĢма",
+      "Ġ å¤ĸ",
+      "Ġå¤ ĸ",
+      "ä» ķ",
+      "н ав",
+      "на в",
+      "a rası",
+      "ar ası",
+      "ara sı",
+      "aras ı",
+      "à¸Ńà¸Ļ à¹Ħลà¸Ļ",
+      "ا شت",
+      "اش ت",
+      "ز ÙĬ",
+      "æ© ĭ",
+      "Ġ ãĤ«",
+      "ĠãĤ «",
+      "èĥ½ åĬĽ",
+      "å¥ Ĺ",
+      "Ġpro h",
+      "Ġpr oh",
+      "Ġп ÑĢава",
+      "ĠпÑĢ ава",
+      "ĠпÑĢав а",
+      "ĠпÑĢа ва",
+      "Ỽ p",
+      "Ġ à¸Ĥà¸Ńà¸ĩ",
+      "Ġà¸Ĥ à¸Ńà¸ĩ",
+      "Ġ ë´",
+      "Ġë ´",
+      "Ġl úc",
+      "Ġ éķ",
+      "Ġé ķ",
+      "ب ÙĪد",
+      "بÙĪ د",
+      "r upa",
+      "ru pa",
+      "rup a",
+      "ا زÙħ",
+      "از Ùħ",
+      "Ġ кан",
+      "Ġк ан",
+      "Ġка н",
+      "ılı m",
+      "ıl ım",
+      "Ġ Ùĩد",
+      "ĠÙĩ د",
+      "ãĢĢ ĠãĢĢĠãĢĢ",
+      "ãĢĢĠãĢĢ ĠãĢĢ",
+      "ãĢĢĠ ãĢĢĠãĢĢ",
+      "Ñĭ ваеÑĤ",
+      "Ñĭв аеÑĤ",
+      "Ñĭва еÑĤ",
+      "Ø® اÙĨÙĩ",
+      "خاÙĨ Ùĩ",
+      "Ñĥ кÑĤ",
+      "Ñĥк ÑĤ",
+      "ĠçĻ¾ 度",
+      "ĠnÄĽ co",
+      "е мон",
+      "ем он",
+      "емо н",
+      "Ġà¤ħ प",
+      "Ġ ÎĮ",
+      "ĠÎ Į",
+      "ün ün",
+      "ünü n",
+      "æĸĩ åĮĸ",
+      "ä¹ İ",
+      "ä¸Ĭ çļĦ",
+      "ÙĦ ÙĬÙħ",
+      "ÙĦÙĬ Ùħ",
+      "ĠtÄĽ ch",
+      "ا سب",
+      "اس ب",
+      "âĢĻ ÑĶ",
+      "Ġ Ú¯ÛĮ",
+      "ĠÚ¯ ÛĮ",
+      "Ġ ê·¼",
+      "Ġê· ¼",
+      "Ġtr ẻ",
+      "μÎŃ Î½Î¿",
+      "μÎŃν ο",
+      "ãģĵãģ¨ ãĤĴ",
+      "ìĿ´ ëĤĺ",
+      "åĸ Ħ",
+      "Ġtr ả",
+      "åĪĨ æŀIJ",
+      "Ġ dÄĽl",
+      "Ġd ÄĽl",
+      "ĠdÄĽ l",
+      "Ñĥ Ñģка",
+      "ÑĥÑģ ка",
+      "ÑĥÑģк а",
+      "Ġм ного",
+      "Ġмн ого",
+      "Ġмног о",
+      "à¥Ī र",
+      "μα ÏĦοÏĤ",
+      "μαÏĦο ÏĤ",
+      "Ġm ÃŃsto",
+      "ĠmÃŃ sto",
+      "ĠmÃŃst o",
+      "Ġ ê°ģ",
+      "Ġê° ģ",
+      "Ġп ÑĢог",
+      "ĠпÑĢ ог",
+      "ĠпÑĢо г",
+      "b aÅŁ",
+      "ba ÅŁ",
+      "а йÑĤе",
+      "ай ÑĤе",
+      "айÑĤ е",
+      "Ġc á»ķ",
+      "å¿ ľ",
+      "ï¼ģ Ċ",
+      "ç ı",
+      "Ġbir çok",
+      "Ġ íĺķ",
+      "Ġíĺ ķ",
+      "çµ Į",
+      "ĠEv rop",
+      "ĠÑģ оÑĨÑĸ",
+      "ĠÑģо ÑĨÑĸ",
+      "ä»ĸ çļĦ",
+      "Ġ μÏĢο",
+      "Ġμ ÏĢο",
+      "ĠμÏĢ ο",
+      "å¥ Ī",
+      "Ġ Ú¯ÙĦ",
+      "ĠÚ¯ ÙĦ",
+      "ÙĪ ÙĦØ©",
+      "ÙĪÙĦ Ø©",
+      "æµ İ",
+      "Ġ Ú©ÙĪ",
+      "ĠÚ© ÙĪ",
+      "± ä¹IJ",
+      "ãģĹ ãģı",
+      "ãģĹãģ ı",
+      "çº ³",
+      "ÑģÑĤв енно",
+      "ÑģÑĤвен но",
+      "éĽ ¢",
+      "ा .",
+      "Ġgerçek leÅŁtir",
+      "ĠgerçekleÅŁ tir",
+      "Ġ kır",
+      "Ġk ır",
+      "Ġkı r",
+      "ì ³",
+      "Ġг оÑģп",
+      "å¹ ķ",
+      "ìĦ ¼",
+      "» .Ċ",
+      "». Ċ",
+      "к ÑĥÑĢ",
+      "кÑĥ ÑĢ",
+      "Ġ رÛĮ",
+      "Ġر ÛĮ",
+      "æĽ ¾",
+      "ÙĪ رÙĬ",
+      "ÙĪر ÙĬ",
+      "лекÑģ анд",
+      "ص Ùģ",
+      "Ġc ảnh",
+      "Ġcả nh",
+      "å± Ĥ",
+      "ãĤ Ĩ",
+      "Ġ تس",
+      "Ġت س",
+      "ì° ½",
+      "기 를",
+      "Ġ à¹Ģà¸Ħ",
+      "Ġà¹Ģ à¸Ħ",
+      "Ġà¹ĢภĦ",
+      "çŁ Ń",
+      "Ġ ÑģÑĤÑĢо",
+      "ĠÑģ ÑĤÑĢо",
+      "ĠÑģÑĤ ÑĢо",
+      "ĠÑģÑĤÑĢ о",
+      "ĠÏĥ ÏĦιÏĤ",
+      "ĠÏĥÏĦι ÏĤ",
+      "à¥įय व",
+      "Ġع ÙĦÙħ",
+      "ĠعÙĦ Ùħ",
+      "ĠÑģ иÑĤÑĥа",
+      "ĠÑī одо",
+      "ĠÑīо до",
+      "åIJ Ľ",
+      "Ùħ س",
+      "ĠоÑĤ кÑĢÑĭ",
+      "ĠоÑĤк ÑĢÑĭ",
+      "Ġsp oj",
+      "Ġspo j",
+      "ĠÄij Äĥng",
+      "Ġs avaÅŁ",
+      "Ġsav aÅŁ",
+      "ี ร",
+      "sk ém",
+      "ské m",
+      "Ġ è¡Į",
+      "Ġè¡ Į",
+      "é ¹",
+      "Ġ ÙĬÙħÙĥÙĨ",
+      "ĠÙĬÙħ ÙĥÙĨ",
+      "о вано",
+      "ов ано",
+      "ова но",
+      "ован о",
+      "Ġп ÑĢавилÑĮ",
+      "ĠпÑĢав илÑĮ",
+      "ĠпÑĢави лÑĮ",
+      "ĠпÑĢавил ÑĮ",
+      "Ġchiế c",
+      "èĪ ¹",
+      "éĵ ¶",
+      "ĠоÑĤ д",
+      "Ġ ìĿĢ",
+      "ĠìĿ Ģ",
+      "íħ Ķ",
+      "Ġ Nej",
+      "ĠN ej",
+      "ĠNe j",
+      "о не",
+      "он е",
+      "Ġk ız",
+      "Ġkı z",
+      "олог иÑĩеÑģ",
+      "Ġ кÑĢаÑĹ",
+      "ĠкÑĢа ÑĹ",
+      "à¸ļ à¸Ńล",
+      "æ¥ ¼",
+      "Ġت ÙħاÙħ",
+      "ĠتÙħ اÙħ",
+      "Ġب ÛĮÙħ",
+      "ĠبÛĮ Ùħ",
+      "ĠÑģ Ñĥб",
+      "ĠÑģÑĥ б",
+      "v ý",
+      "Ñģ кие",
+      "Ñģк ие",
+      "Ñģки е",
+      "ëĮĢ ë¡ľ",
+      "ëĮ Ģë¡ľ",
+      "???? ????",
+      "abilir siniz",
+      "ан Ñģов",
+      "анÑģ ов",
+      "代 表",
+      "Ġ매 매",
+      "олог ÑĸÑĩ",
+      "μ αν",
+      "μα ν",
+      "ак Ñģим",
+      "акÑģ им",
+      "ãĤ¤ ãĥ«",
+      "Ġt ải",
+      "Ġtả i",
+      "Ùħ ÙĪ",
+      "å® Ĺ",
+      "n em",
+      "ne m",
+      "Ġkho ản",
+      "Ġ паÑĤ",
+      "Ġп аÑĤ",
+      "Ġпа ÑĤ",
+      "ан ÑĤа",
+      "анÑĤ а",
+      "Ġпом оÑī",
+      "Ġ vod",
+      "Ġv od",
+      "Ġvo d",
+      "Ġkay nak",
+      "Ġkayn ak",
+      "Ïĥ ÏĨ",
+      "à¥Ĥ त",
+      "du ÄŁ",
+      "а ÑĤиÑģÑı",
+      "аÑĤи ÑģÑı",
+      "Ġ ç¥ŀ",
+      "Ġç¥ ŀ",
+      "ĠÑģ лова",
+      "ĠÑģл ова",
+      "ĠÑģлов а",
+      "ĠÑģло ва",
+      "ÑĢÑĥ кÑĤÑĥ",
+      "ÑĢÑĥк ÑĤÑĥ",
+      "ÑĢÑĥкÑĤ Ñĥ",
+      "ĠmÄĽ sÃŃ",
+      "Ùı Ùħ",
+      "зна Ñĩа",
+      "знаÑĩ а",
+      "Ġ èī",
+      "Ġè ī",
+      "åѦ çĶŁ",
+      "æ´ ¥",
+      "Ùİ ÙĬ",
+      "è§ Ī",
+      "Ġ å®ī",
+      "Ġå® ī",
+      "Ġgör Ã¼ÅŁ",
+      "ál nÄĽ",
+      "áln ÄĽ",
+      "ĠëĶ° ëĿ¼",
+      "ĠÙħ ÙĪجÙĪد",
+      "ĠÙħÙĪج ÙĪد",
+      "ĠÄij ứ",
+      "ĠÄijá» ©",
+      "ĠçalÄ±ÅŁ malar",
+      "ĠçalÄ±ÅŁma lar",
+      "ĠÑı киÑħ",
+      "ĠÑıк иÑħ",
+      "Ġاج تÙħاع",
+      "μ εν",
+      "με ν",
+      "èİ ī",
+      "ç§ ¯",
+      "ì¶ ķ",
+      "à¥į शन",
+      "à¥įश न",
+      "Ġx ét",
+      "Ġв ÑĤоÑĢ",
+      "ĠвÑĤ оÑĢ",
+      "çİ ©",
+      "Âł ÐĿ",
+      "ÑĪ ие",
+      "ÑĪи е",
+      "о ÑĢи",
+      "оÑĢ и",
+      "أ س",
+      "Ġthu á»ijc",
+      "ëĭĪ ê¹Į",
+      "ë ķĮ",
+      "ÑĢ Ñĥп",
+      "ÑĢÑĥ п",
+      "Ñģ ÑıÑĤ",
+      "ÑģÑı ÑĤ",
+      "з Ñĭ",
+      "ĠÑģ меÑĢ",
+      "ĠÑģм еÑĢ",
+      "Ġv yb",
+      "Ġvy b",
+      "ĠìĿ´ ìĥģ",
+      "à¤ļ न",
+      "Ġgel di",
+      "Ġgeld i",
+      "Û± Û°",
+      "Û±Û °",
+      "ικ Ïİν",
+      "ĠÄIJ ức",
+      "Ġд оÑģÑĤаÑĤ",
+      "ĠдоÑģÑĤ аÑĤ",
+      "Ġö nc",
+      "Ġön c",
+      "è¦ ª",
+      "Ġ adı",
+      "Ġa dı",
+      "Ġad ı",
+      "un ca",
+      "unc a",
+      "ĠاÙĦ تر",
+      "ĠاÙĦت ر",
+      "çķ ¶",
+      "ĠФ едеÑĢа",
+      "ĠФед еÑĢа",
+      "лÑı ÑİÑĤÑģÑı",
+      "лÑıÑİÑĤ ÑģÑı",
+      "ĠÙĥ اÙĨت",
+      "ĠÙĥاÙĨ ت",
+      "æİ ¢",
+      "Ġ Ñĥб",
+      "ĠÑĥ б",
+      "Ġ κο",
+      "Ġκ ο",
+      "ाà¤ĩ à¤Ł",
+      "з н",
+      "Ġm ôi",
+      "Ġmô i",
+      "Ġ ãĤµ",
+      "ĠãĤ µ",
+      "Ġна вÑĸ",
+      "Ġнав Ñĸ",
+      "ç» ¼åIJĪ",
+      "Ġмин ÑĥÑĤ",
+      "Ġми нÑĥÑĤ",
+      "ĠминÑĥ ÑĤ",
+      "d ık",
+      "dı k",
+      "ÑĢ Ñĥд",
+      "ÑĢÑĥ д",
+      "åľ ĸ",
+      "ê° ¤",
+      "ĠÄijo Ãłn",
+      "è ¤",
+      "à¥į वर",
+      "à¥įव र",
+      "ĠÃľn iversit",
+      "а но",
+      "ан о",
+      "éĽ ¨",
+      "ĠvÅ¡ech ny",
+      "Ġëĭ¤ ìĿĮ",
+      "ĠC umhur",
+      "ĠCum hur",
+      "Ġм Ñĥз",
+      "ĠмÑĥ з",
+      "a ÅŁtır",
+      "aÅŁ tır",
+      "Ġ ê±°ëŀĺ",
+      "Ġê±° ëŀĺ",
+      "Ġ é¡",
+      "Ġé ¡",
+      "žit ÃŃ",
+      "ži tÃŃ",
+      "Ġ à¸Ł",
+      "ĠภŁ",
+      "Ġthu ế",
+      "Ġм Ñĥж",
+      "ĠмÑĥ ж",
+      "ĠÎij ν",
+      "Ġد ÙĪÙħ",
+      "ĠدÙĪ Ùħ",
+      "ĠÑģ ин",
+      "ĠÑģи н",
+      "Ġ ÏīÏĤ",
+      "ĠÏī ÏĤ",
+      "m eler",
+      "me ler",
+      "mel er",
+      "Ġ poÄį",
+      "Ġp oÄį",
+      "Ġpo Äį",
+      "Ġколи Ñĩе",
+      "ĠколиÑĩ е",
+      "ĠK Äį",
+      "è³ ½",
+      "ĠоÑģ Ñĸб",
+      "åı ¥",
+      "ĠB öl",
+      "à¸ĺ รรม",
+      "Ġc ạnh",
+      "å° ĩ",
+      "Ġ ноÑģ",
+      "Ġн оÑģ",
+      "Ġно Ñģ",
+      "èĦ ¸",
+      "Ġgel ir",
+      "о ÑĢон",
+      "оÑĢ он",
+      "оÑĢо н",
+      "à¥įर à¤Ń",
+      "ç» ĩ",
+      "ุ à¹ī",
+      "ाम ल",
+      "Ġc âu",
+      "Ġcâ u",
+      "Ñij ÑĤ",
+      "Ġ :|",
+      "Ġ: |",
+      "ãĤĮ ãģ¦",
+      "Ġpos led",
+      "Ġpo sled",
+      "ãĤ¹ ãĥĨ",
+      "ÑĸлÑĮ ÑĪ",
+      "ен ÑĤÑĭ",
+      "енÑĤ Ñĭ",
+      "Ø® دÙħ",
+      "Ġباش گاÙĩ",
+      "Ġth Æ°",
+      "á vánÃŃ",
+      "áv ánÃŃ",
+      "ává nÃŃ",
+      "ëĬ IJ",
+      "ĠØ£ ØŃ",
+      "ر اد",
+      "را د",
+      "ĠبسÛĮ ار",
+      "åĪ° äºĨ",
+      "\" ;\"",
+      "\"; \"",
+      "å° İ",
+      "Ġ ör",
+      "Ġö r",
+      "à¸Ĭ าà¸ķ",
+      "g enus",
+      "gen us",
+      "Ġya kın",
+      "Ġyak ın",
+      "Ġ ÃŃt",
+      "ĠÃŃ t",
+      "reg num",
+      "regn um",
+      "Ġf iyat",
+      "Ġfi yat",
+      "н ÑĸÑħ",
+      "нÑĸ Ñħ",
+      "åľ° æĸ¹",
+      "Ġbil gi",
+      "Ġbilg i",
+      "к ам",
+      "ка м",
+      "Ġs pol",
+      "Ġsp ol",
+      "Ġspo l",
+      "ائ ÙĬ",
+      "Ġ ÙĬÙĨ",
+      "ĠÙĬ ÙĨ",
+      "า หาร",
+      "าห าร",
+      "Ġب Ú¯",
+      "é ĺħ",
+      "éĺ ħ",
+      "ĠاÙĦ شر",
+      "ĠاÙĦØ´ ر",
+      "Â ģ",
+      "ĠÑĸн ÑĪиÑħ",
+      "ĠÑĸнÑĪ иÑħ",
+      "Ġtr ạng",
+      "çģ £",
+      "Ġc á»±c",
+      "к ан",
+      "ка н",
+      "èĭ ı",
+      "Ã Ķ",
+      "Ġl á»Ŀi",
+      "Ġlá» Ŀi",
+      "Ñı Ñĩ",
+      "Ġ ÙĪØŃ",
+      "ĠÙĪ ØŃ",
+      "ìĪ ľ",
+      "Å ¸",
+      "Ġв оÑģп",
+      "Ġво Ñģп",
+      "ĠвоÑģ п",
+      "ì¡ Į",
+      "Äį nÃŃch",
+      "ÄįnÃŃ ch",
+      "Ø® رÙī",
+      "خر Ùī",
+      "ائ ÙĬØ©",
+      "ائÙĬ Ø©",
+      "Ġsu ất",
+      "æĩ ī",
+      "ا ØŃÛĮ",
+      "اØŃ ÛĮ",
+      "Ġn áz",
+      "Ġná z",
+      "è¿Ļ ç§į",
+      "Ġзаб езпеÑĩ",
+      "Ġ ЧеÑĢ",
+      "ĠЧ еÑĢ",
+      "Ġзд ÑĸйÑģ",
+      "åı ¦",
+      "æĭ ¬",
+      "à¥ģ ष",
+      "à¥ģठ·",
+      "μ ÏĨ",
+      "ëĥ IJ",
+      "Ðķ Ñģли",
+      "é ¬",
+      "Ġ íĥľ",
+      "Ġíĥ ľ",
+      "Ġ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "Ġм л",
+      "å´ İ",
+      "Ùģ ع",
+      "Ġ ÙĤدر",
+      "ĠÙĤ در",
+      "ĠÙĤد ر",
+      "Ġv á»ijn",
+      "å¦ ¹",
+      "Ġ ÐĿаÑģ",
+      "ĠÐĿ аÑģ",
+      "ĠÐĿа Ñģ",
+      "à¥į फ",
+      "à¥įठ«",
+      "ãĤ¸ ãĥ£",
+      "Ġm ı",
+      "ен Ñģ",
+      "б Ñĥд",
+      "бÑĥ д",
+      "ĠØŃ ØªÙī",
+      "Ġ ì²´",
+      "Ġì² ´",
+      "ĠÑĸ ÑģÑĤоÑĢ",
+      "ĠÑĸÑģ ÑĤоÑĢ",
+      "Ġgi ấy",
+      "γ οÏģ",
+      "γο Ïģ",
+      "ëIJĺ ìĸ´",
+      "Ġ íĤ",
+      "Ġí Ĥ",
+      "ĠÐŀд на",
+      "ĠÙĨ ÙħÙĪد",
+      "ĠÙĨÙħ ÙĪد",
+      "Ġвип ад",
+      "ĠìŀIJ ìĭł",
+      "Ġj ste",
+      "Ġjs te",
+      "Ġ ëĵ±ë¡Ŀ",
+      "Ġëĵ± ë¡Ŀ",
+      "ek ten",
+      "ekt en",
+      "ekte n",
+      "ĠÑĢ еÑĩ",
+      "ĠÑĢе Ñĩ",
+      "r odnÃŃ",
+      "rod nÃŃ",
+      "س تر",
+      "ست ر",
+      "ı t",
+      "ä¹ħ ä¹ħ",
+      "ĠØ® ÙĦاÙĦ",
+      "ĠØ®ÙĦ اÙĦ",
+      "Ġ ç¦",
+      "Ġç ¦",
+      "u luk",
+      "ul uk",
+      "ulu k",
+      "l enen",
+      "le nen",
+      "len en",
+      "lene n",
+      "i lip",
+      "il ip",
+      "ili p",
+      "è´ ¢",
+      "Ġà¤ħ à¤ķ",
+      "ĠY ıl",
+      "Ġ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "Ġ à¤Ŀ",
+      "ĠठĿ",
+      "ĠB ình",
+      "Ġol muÅŁ",
+      "Ġolm uÅŁ",
+      "اÙĦ Ø¥ÙĨجÙĦÙĬزÙĬØ©",
+      "اÙĦØ¥ ÙĨجÙĦÙĬزÙĬØ©",
+      "м енно",
+      "мен но",
+      "aln ız",
+      "Ġ شرÙĥØ©",
+      "Ġشر ÙĥØ©",
+      "Ġس ÙĨØ©",
+      "ĠسÙĨ Ø©",
+      "è´ Ł",
+      "ä½ľ åĵģ",
+      "Ġ ìķ½",
+      "Ġìķ ½",
+      "ĠдÑĢÑĥг иÑħ",
+      "ĠbaÄŁ lantı",
+      "о дÑĥ",
+      "од Ñĥ",
+      "çļĦ æĺ¯",
+      "ั à¸Ļà¸Ķ",
+      "ัà¸Ļ à¸Ķ",
+      "ĠкоÑĤоÑĢ ÑĭÑħ",
+      "ĠاÙĦ ÙĪÙĦ",
+      "ĠاÙĦÙĪ ÙĦ",
+      "ê¸Ģ ìĥģìľĦ",
+      "ĠÏĢ εÏģ",
+      "ĠÏĢε Ïģ",
+      "리 ìķĦ",
+      "i bar",
+      "ib ar",
+      "iba r",
+      "Ġ èĥ",
+      "Ġè ĥ",
+      "ãģŁ ãģĦ",
+      "á j",
+      "ĠìľĦ íķ´",
+      "? âĢľĊĊ",
+      "?âĢľ ĊĊ",
+      "Ġ íİĺ",
+      "Ġíİ ĺ",
+      "Ġ ней",
+      "Ġн ей",
+      "Ġне й",
+      "ĠÐĹ Ð°Ðº",
+      "ĠÐĹа к",
+      "Ġ ÐĴÑĸд",
+      "ĠÐĴ Ñĸд",
+      "е лÑĸ",
+      "ел Ñĸ",
+      "è¯ ¾",
+      "åī ¯",
+      "m adan",
+      "ma dan",
+      "mad an",
+      "mada n",
+      "æľ «",
+      "ĠÏĢ ÏģÏĮ",
+      "Ġп ÑģиÑħ",
+      "Ġ ÑĤÑĸ",
+      "ĠÑĤ Ñĸ",
+      "Ùĥ ات",
+      "Ġvys ok",
+      "ê´Ģ 리",
+      "ül tür",
+      "ült ür",
+      "Ġ à¹Ģà¸Ń",
+      "Ġà¹Ģ à¸Ń",
+      "Ġà¹ĢภŃ",
+      "Ġ íķ©",
+      "Ġíķ ©",
+      "çĿ £",
+      "Ġ ÑĢиÑģ",
+      "ĠÑĢ иÑģ",
+      "е ÑĢÑĮ",
+      "еÑĢ ÑĮ",
+      "ĠÚ© ÙĦÛĮ",
+      "ĠÚ©ÙĦ ÛĮ",
+      "Ġ ãĥŀ",
+      "Ġãĥ ŀ",
+      "Ġph ÃŃa",
+      "ĠphÃŃ a",
+      "å «",
+      "ا گ",
+      "Ġ é¢",
+      "Ġé ¢",
+      "ĠÙĨ Ùģر",
+      "ĠÙĨÙģ ر",
+      "Ġ جاÙĨ",
+      "Ġج اÙĨ",
+      "Ġجا ÙĨ",
+      "Ġ yas",
+      "Ġy as",
+      "Ġya s",
+      "ж ениÑı",
+      "же ниÑı",
+      "жен иÑı",
+      "ĠлÑĥÑĩ ÑĪе",
+      "Ġ çº",
+      "Ġç º",
+      "Ġ мон",
+      "Ġм он",
+      "Ġмо н",
+      "Ġت Ø®",
+      "Ġ Ø´ÛĮ",
+      "ĠØ´ ÛĮ",
+      "Ġн екоÑĤоÑĢ",
+      "Ġнек оÑĤоÑĢ",
+      "алÑĮ нÑĭе",
+      "Ġob chod",
+      "Ġíķ¨ ê»ĺ",
+      "Ġr iêng",
+      "ãģķ ãĤĮãĤĭ",
+      "ãģķãĤĮ ãĤĭ",
+      "о кÑĥ",
+      "ок Ñĥ",
+      "ĠС ШÐIJ",
+      "ë§ ģ",
+      "Ġ Nếu",
+      "ĠN ếu",
+      "ĠA ÄŁ",
+      "Ġд веÑĢ",
+      "Ġдв еÑĢ",
+      "Ġдве ÑĢ",
+      "à¥ĭ ष",
+      "Ġkh iến",
+      "Ġkhi ến",
+      "н его",
+      "не го",
+      "ì± ħ",
+      "ั à¸ķร",
+      "ัà¸ķ ร",
+      "m alı",
+      "ma lı",
+      "mal ı",
+      "Ġ ÙĬا",
+      "ĠÙĬ ا",
+      "ç§ij æĬĢ",
+      "ื à¸Ļ",
+      "ห มาย",
+      "หม าย",
+      "Ġ خص",
+      "ĠØ® ص",
+      "åĨ ľ",
+      "ÃŃ me",
+      "ÃŃm e",
+      "ĠÑįÑĤ ой",
+      "ĠÑįÑĤо й",
+      "Ġ ìĹħ",
+      "ĠìĹ ħ",
+      "Ġ ä¹",
+      "ä¼ ¯",
+      "' ´",
+      "Ùħ ÙĬÙĦ",
+      "ÙħÙĬ ÙĦ",
+      "à¸Ń à¸ĩà¸Ħ",
+      "à¸Ńà¸ĩ à¸Ħ",
+      "k ová",
+      "ko vá",
+      "kov á",
+      "è¿Ļ ä¹Ī",
+      "ãĢĤ æĪij",
+      "ìĹIJ ìĦľëĬĶ",
+      "ìĹIJìĦľ ëĬĶ",
+      "Ġ ìļ©",
+      "Ġìļ ©",
+      "ë¹Ħ ìĬ¤",
+      "Ġ ì¦Ŀ",
+      "Ġì¦ Ŀ",
+      "IT TE",
+      "ITT E",
+      "Ġ모 ëĵł",
+      "ĠspoleÄį nosti",
+      "ĠspoleÄįnost i",
+      "Ġв ик",
+      "Ġви к",
+      "Ġt ÅĻÃŃ",
+      "ĠtÅĻ ÃŃ",
+      "é ³",
+      "Ġ Ø®ÛĮ",
+      "ĠØ® ÛĮ",
+      "Ġp ož",
+      "Ġpo ž",
+      "Ġиме еÑĤ",
+      "Ġd ÄĽt",
+      "ĠdÄĽ t",
+      "ĠÙħد ÙĦ",
+      "Ġ мо",
+      "Ġм о",
+      "åį ı",
+      "e nÃŃm",
+      "en ÃŃm",
+      "enÃŃ m",
+      "é ī",
+      "ا ظ",
+      "Ø§Ø ¸",
+      "Ġ teÅŁ",
+      "Ġt eÅŁ",
+      "Ġte ÅŁ",
+      "Ġ veÅĻej",
+      "Ġve ÅĻej",
+      "L IC",
+      "LI C",
+      "ì§Ģ ëĬĶ",
+      "Ñĭ ваÑİÑĤ",
+      "Ñĭв аÑİÑĤ",
+      "Ñĭва ÑİÑĤ",
+      "ĠоÑĢг анÑĸ",
+      "ĠоÑĢган Ñĸ",
+      "nÃŃ mi",
+      "nÃŃm i",
+      "θ ÎŃ",
+      "ãĤ¯ ãĥ©",
+      "ãĥ¼ ãĥ³",
+      "ãĥ¼ãĥ ³",
+      "ли ÑģÑı",
+      "i mdi",
+      "im di",
+      "imd i",
+      "æ Ĩ",
+      "ïº İ",
+      "Ġìļ´ ìĺģ",
+      "κ αν",
+      "κα ν",
+      "Ġ ë³µ",
+      "Ġë³ µ",
+      "Ġ ÐĨн",
+      "ĠÐĨ н",
+      "p lication",
+      "pl ication",
+      "t ah",
+      "ta h",
+      "Ġ ÐIJв",
+      "ĠÐIJ в",
+      "Ġc á»Ļng",
+      "алÑĮ ноÑĹ",
+      "алÑĮно ÑĹ",
+      "Ġد ÙĪرÙĩ",
+      "ĠدÙĪ رÙĩ",
+      "ĠدÙĪر Ùĩ",
+      "à¥įर य",
+      "Ġ Ø®ÙĪ",
+      "ĠØ® ÙĪ",
+      "Ġв ÑĢа",
+      "Ø¥ ÙĨ",
+      "èĤ ī",
+      "Ġo yn",
+      "Ġoy n",
+      "ĠT Æ°",
+      "ĠÙĩ ÙħاÙĨ",
+      "ĠÙĩÙħ اÙĨ",
+      "ĠбÑĸлÑĮ ÑĪе",
+      "ĠбÑĸлÑĮÑĪ е",
+      "æĮ ¯",
+      "ا ÙħØ©",
+      "اÙħ Ø©",
+      "å º«",
+      "åº «",
+      "Ġ ÑĢеж",
+      "ĠÑĢ еж",
+      "ĠÑĢе ж",
+      "Ġدار ÙĨد",
+      "ÑĢ ий",
+      "ÑĢи й",
+      "Ġ æĮ",
+      "Ġæ Į",
+      "Ġson uç",
+      "Ġsonu ç",
+      "Ġt ả",
+      "ั à¸ĩà¸Ħ",
+      "ัà¸ĩ à¸Ħ",
+      "ë° Ľ",
+      "Ġ мом",
+      "Ġм ом",
+      "Ġмо м",
+      "ви Ñĩай",
+      "виÑĩ ай",
+      ". à¸Ħ",
+      "Ġ à¤Ĩà¤Ī",
+      "Ġà¤Ĩ à¤Ī",
+      "åģ ĩ",
+      "Ġpos kyt",
+      "Ġpo skyt",
+      "ĠÑģ Ñĥп",
+      "ĠÑģÑĥ п",
+      "ıyor du",
+      "а ле",
+      "ал е",
+      "и ÑĨ",
+      "Ġ θÎŃ",
+      "Ġθ ÎŃ",
+      "ãĤĩ ãģĨ",
+      "ĠÑģв ой",
+      "ĠÑģво й",
+      "ม à¸Ļ",
+      "Ġn ữa",
+      "Ġnữ a",
+      "v oÅĻ",
+      "vo ÅĻ",
+      "ا سÙĬ",
+      "اس ÙĬ",
+      "éĴ ±",
+      "ãģĹ ãģ¦ãģĦãģŁ",
+      "ãģĹãģ¦ ãģĦãģŁ",
+      "ãģĹãģ¦ãģĦ ãģŁ",
+      "ĠÄij ầy",
+      "ا ÙĬر",
+      "اÙĬ ر",
+      "Ġar aÅŁtır",
+      "Ġara ÅŁtır",
+      "ì £",
+      "ãģ¨ ãģ¯",
+      "ĠÑģ поÑĢ",
+      "ĠÑģп оÑĢ",
+      "Ġê° Ģìŀ¥",
+      "Ġê°Ģ ìŀ¥",
+      "è¼ ī",
+      "âĸ ¡",
+      "Ġ ìĻĦ",
+      "ĠìĻ Ħ",
+      "оÑĢ аÑı",
+      "оÑĢа Ñı",
+      "Ïģ εί",
+      "Ïģε ί",
+      "ĠÑį ÑĤа",
+      "ĠÑįÑĤ а",
+      "ë©´ ìłģ",
+      "ìĿ´ ìĬ¤",
+      "ä½ ³",
+      "æĻ ļ",
+      "Ġk val",
+      "Ġkv al",
+      "Ġn á»ķi",
+      "ÑĤ ами",
+      "ÑĤа ми",
+      "Ġпол ÑĸÑĤи",
+      "ĠполÑĸ ÑĤи",
+      "Ġ Ä°ng",
+      "ĠÄ° ng",
+      "ĠÄ°n g",
+      "нÑĸ ÑģÑĤÑİ",
+      "нÑĸÑģÑĤ Ñİ",
+      "Ġ à¹Ģà¸ģ",
+      "Ġà¹Ģ à¸ģ",
+      "Ġà¹Ģภģ",
+      "Ġ 민",
+      "Ġë ¯¼",
+      "è Ķ",
+      "Ïģ ία",
+      "Ïģί α",
+      "æİ Ī",
+      "Ġ çĤ",
+      "Ġç Ĥ",
+      "ĠÙĨÙħ اÛĮ",
+      "Ġ ìŀ¡",
+      "Ġìŀ ¡",
+      "æŀ ¶",
+      "اب ÙĤ",
+      "Ñģ он",
+      "Ñģо н",
+      "ен ного",
+      "енно го",
+      "ĠÙħ ÛĮÙĦÛĮ",
+      "ĠÙħÛĮ ÙĦÛĮ",
+      "ĠÙħÛĮÙĦ ÛĮ",
+      "Ġk urum",
+      "Ġkur um",
+      "Ġku rum",
+      "Ġkuru m",
+      "à¹Į ส",
+      "Ġ ì´Ŀ",
+      "Ġì ´Ŀ",
+      "Ġì´ Ŀ",
+      "ĠnÄĽk olik",
+      "ĠnÄĽkol ik",
+      "Ġ ÙĢ",
+      "ĠÙ Ģ",
+      "ĠзаÑģÑĤ оÑģ",
+      "à¸Ķ à¸Ļ",
+      "ÙĨ داÙĨ",
+      "ÙĨد اÙĨ",
+      "ÙĨدا ÙĨ",
+      "ĠJ ap",
+      "ĠJa p",
+      "éĥ ¡",
+      "à¥į à¤Ń",
+      "à¥įठŃ",
+      "Ġ à¹Ģà¸Ĭ",
+      "Ġà¹Ģ à¸Ĭ",
+      "Ġà¹ĢภĬ",
+      "Ġ âĢ«",
+      "ĠâĢ «",
+      "é£ ŀ",
+      "o vatel",
+      "ov atel",
+      "ova tel",
+      "ovat el",
+      "ĠÑĩа ÑģÑĤÑĮ",
+      "ĠÑĩаÑģ ÑĤÑĮ",
+      "ĠÑĩаÑģÑĤ ÑĮ",
+      "Ġb á»ķ",
+      "ãĤ¯ ãĥª",
+      "ิ à¹Į",
+      "Ġвид е",
+      "Ġви де",
+      "v ail",
+      "va il",
+      "Ì ī",
+      "ÄŁ inde",
+      "ÄŁi nde",
+      "ÄŁin de",
+      "ãģ¨ ãĤĤ",
+      "âĢĮÚ© ÙĨد",
+      "âĢĮÚ©ÙĨ د",
+      "Ġ ëħĦ",
+      "Ġëħ Ħ",
+      "Ġ اÙĤتص",
+      "ĠاÙĤ تص",
+      "ï½ Ĺ",
+      "Ïģ ιÏĥ",
+      "Ïģι Ïĥ",
+      "з д",
+      "èĻ ½",
+      "Ġth oại",
+      "Ġtho ại",
+      "Ġ ÙĪز",
+      "ĠÙĪ ز",
+      "Ġ mÃŃt",
+      "Ġm ÃŃt",
+      "ĠmÃŃ t",
+      "ĠÑħ олод",
+      "ĠÑħол од",
+      "Ġ кÑĥп",
+      "Ġк Ñĥп",
+      "ĠкÑĥ п",
+      "а ниÑħ",
+      "ан иÑħ",
+      "ани Ñħ",
+      "Ġnh ìn",
+      "ãģĭ ãģª",
+      "Ġ Ðļом",
+      "ĠÐļ ом",
+      "ĠÐļо м",
+      "ÏĦ εÏģ",
+      "ÏĦε Ïģ",
+      "ï¼Į åıª",
+      "Ġol up",
+      "Ġhá» ıi",
+      "ë ij",
+      "ĠnÄĽk ter",
+      "i sÃŃ",
+      "is ÃŃ",
+      "ĠвикоÑĢиÑģÑĤ ов",
+      "ìŀ ¡",
+      "Ġà¤ķ ल",
+      "Ġìľł ìłĢ",
+      "ĠпÑĢ иб",
+      "ĠпÑĢи б",
+      "èĭ ¦",
+      "Ġ мов",
+      "Ġм ов",
+      "Ġмо в",
+      "Ġ หà¸Ļ",
+      "Ġห à¸Ļ",
+      "ëIJĺ ëĬĶ",
+      "о ко",
+      "ок о",
+      "Ġоб еÑģп",
+      "Ġk ez",
+      "Ġke z",
+      "л ÑıÑħ",
+      "лÑı Ñħ",
+      "ĠпÑĢо иÑģ",
+      "Ġпо вин",
+      "Ġпов ин",
+      "ĠÐļ оÑĢ",
+      "ĠÐļо ÑĢ",
+      "ì¼ Ģ",
+      "Ġ Ñģи",
+      "ĠÑģ и",
+      "Ġ ä¹ĭ",
+      "Ġä¹ ĭ",
+      "ĠâĢĶ Ċ",
+      "ÑģÑĥÑĤ ÑģÑĤв",
+      "ç °",
+      "Ġ à¤ł",
+      "Ġठł",
+      "н аÑĤ",
+      "на ÑĤ",
+      "Ġs uy",
+      "Ġsu y",
+      "Ġ ÑģÑĭ",
+      "ĠÑģ Ñĭ",
+      "ĠÙĨ شاÙĨ",
+      "ĠÙĨØ´ اÙĨ",
+      "Ġна пÑĢав",
+      "Ġнап ÑĢав",
+      "ĠÑĨ ÑĮомÑĥ",
+      "æĺ¯ ä¸Ģ",
+      "Ġm üm",
+      "Ġmü m",
+      "ÑĶ мо",
+      "ÑĶм о",
+      "ĠاسÙĦاÙħ ÛĮ",
+      "Ġza manda",
+      "Ġzam anda",
+      "Ġzaman da",
+      "ÙĪ ÙħاÙĨ",
+      "ÙĪÙħ اÙĨ",
+      "ا ÙĦØŃ",
+      "اÙĦ ØŃ",
+      "Å¡t ÄĽnÃŃ",
+      "Å¡tÄĽ nÃŃ",
+      "Ġ Ðļак",
+      "ĠÐļ ак",
+      "ĠÐļа к",
+      "¤ íĶĦ",
+      "¤í ĶĦ",
+      "ĠÙ¾ رد",
+      "Ġپر د",
+      "C ác",
+      "ε ια",
+      "ει α",
+      "Ġ جÙĪ",
+      "Ġج ÙĪ",
+      "ĠÄijo ạn",
+      "Ġà¤ĩ त",
+      "Ġз ан",
+      "Ġза н",
+      "ĠÙħÙĨØ· ÙĤÙĩ",
+      "ĠÙħ عÙĦ",
+      "ĠÙħع ÙĦ",
+      "Ġdo kon",
+      "Ġdok on",
+      "åIJ ¸",
+      "ic kou",
+      "ick ou",
+      "å° ģ",
+      "Ġк иÑģ",
+      "Ġки Ñģ",
+      "ัà¸ĩ หว",
+      "i species",
+      "is pecies",
+      "isp ecies",
+      "Ġнап ÑĢÑı",
+      "æº ĸ",
+      "Ġà¤ľ ल",
+      "à¹Ģ à¸ī",
+      "à¹Ģภī",
+      "L AR",
+      "LA R",
+      "ĠÑĥÑģлов иÑı",
+      "ĠWiki species",
+      "ĠWik ispecies",
+      "ระ à¸Ķ",
+      "Ġ mey",
+      "Ġm ey",
+      "Ġme y",
+      "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "à¹ĩ à¸Ī",
+      "å¾ Ĵ",
+      "t ach",
+      "ta ch",
+      "u muz",
+      "um uz",
+      "umu z",
+      "κ η",
+      "Ã Ĭ",
+      "Ġ ün",
+      "Ġü n",
+      "ĠB ITTE",
+      "ĠBIT TE",
+      "ĠÙħ ربع",
+      "ĠÙħر بع",
+      "ĠÙħرب ع",
+      "ãĤ· ãĥ¥",
+      "िस à¤ķ",
+      "Ø· ÙĪر",
+      "Ġв оÑģ",
+      "Ġво Ñģ",
+      "ï¾ Ł",
+      "Ġy ayın",
+      "Ġyay ın",
+      "ãģĭ ãĤĬ",
+      "л иÑı",
+      "ли Ñı",
+      "Ġп ÑĢин",
+      "ĠпÑĢ ин",
+      "ĠпÑĢи н",
+      "ij ng",
+      "ĠÙĨ Ø®",
+      "Ġl ze",
+      "Ġlz e",
+      "à¥įष ण",
+      "Ġ бо",
+      "Ġб о",
+      "Ġ ê¸Ģ",
+      "Ġê¸ Ģ",
+      "Ġgel iÅŁtir",
+      "ĠgeliÅŁ tir",
+      "à¸Ľà¸£à¸° à¸Ĭ",
+      "å½ ¡",
+      "Ġ ãĤª",
+      "ĠãĤ ª",
+      "ãģĪ ãģ¦",
+      "н ÑĥÑĤÑĮ",
+      "нÑĥ ÑĤÑĮ",
+      "нÑĥÑĤ ÑĮ",
+      "Ġ ç½",
+      "Ġç ½",
+      "Ġ маг",
+      "Ġм аг",
+      "Ġма г",
+      "ãģ« ãģ¤",
+      "н оÑģÑĤей",
+      "ноÑģÑĤ ей",
+      "Ġ ÙĦÙĬ",
+      "ĠÙĦ ÙĬ",
+      "æĢ ª",
+      "ÑıÑĤ ÑģÑı",
+      "ภij",
+      "िय म",
+      "Ġ ãĢİ",
+      "ĠãĢ İ",
+      "ÑĢ ÑĮ",
+      "Ġm ạng",
+      "t ım",
+      "tı m",
+      "ĠпеÑĢи од",
+      "о гÑĥ",
+      "ог Ñĥ",
+      "ĠкоÑĤоÑĢ аÑı",
+      "ĠкоÑĤ оÑĢаÑı",
+      "리 ê°Ģ",
+      "Ġãħ ¡",
+      "Ġج اÛĮ",
+      "Ġجا ÛĮ",
+      "ĠпоÑĤ ÑĢÑĸб",
+      "Å¡ en",
+      "Å¡e n",
+      "à¸Ń ะ",
+      "ب ع",
+      "ØŁ Ċ",
+      "Ġ ë°©ë²ķ",
+      "Ġë°© ë²ķ",
+      "Ġ гоÑĢод",
+      "Ġг оÑĢод",
+      "ĠгоÑĢ од",
+      "Ġ Ðĺн",
+      "ĠÐĺ н",
+      "Ġ оказ",
+      "Ġо каз",
+      "Ġок аз",
+      "ر ÙĪز",
+      "رÙĪ ز",
+      "Ġili ÅŁk",
+      "ĠiliÅŁ k",
+      "å® £",
+      "f orman",
+      "form an",
+      "for man",
+      "forma n",
+      "a daÅŁ",
+      "ad aÅŁ",
+      "ada ÅŁ",
+      "ÙĬ ÙĦØ©",
+      "ÙĬÙĦ Ø©",
+      "ĠÐļ аÑĢ",
+      "ĠÐļа ÑĢ",
+      "Ġm ất",
+      "æħ ĭ",
+      "м п",
+      "à¹Ĥ à¸Ļ",
+      "ĠØŃÙĤ ÙĪÙĤ",
+      "Ġд нÑı",
+      "ĠëĴ ¤",
+      "ा à¤ķर",
+      "ाà¤ķ र",
+      "ì²ĺ ëŁ¼",
+      "âĢĮ Ø¢",
+      "h angi",
+      "han gi",
+      "hang i",
+      "è¡Į æĶ¿",
+      "al iyet",
+      "ali yet",
+      "Ġ ì²ľ",
+      "Ġì² ľ",
+      "ĠY ap",
+      "ĠYa p",
+      "à¹Ĥ รà¸ĩ",
+      "à¹Ĥร à¸ĩ",
+      "ì§Ģ ëħ¸",
+      "Ùİ Ùij",
+      "Îij ÎĻ",
+      "á na",
+      "án a",
+      "an dır",
+      "and ır",
+      "ระ à¸ļà¸ļ",
+      "ระà¸ļ à¸ļ",
+      "oÄŁ lu",
+      "า à¸Īะ",
+      "าà¸Ī ะ",
+      "ẩ y",
+      "ا ÙĪÙĦ",
+      "اÙĪ ÙĦ",
+      "ĠмаÑĤ еÑĢÑĸ",
+      "ÎŁ ÎĿ",
+      "ÎŁÎ Ŀ",
+      "Ġin formace",
+      "Ġinform ace",
+      "ت ع",
+      "à¸ļ à¸Ļ",
+      "ĠÄĮesk é",
+      "ĠÄĮes ké",
+      "Ġte mel",
+      "Ġtem el",
+      ":::::::::::::::: ::::::::::::::::",
+      "Ġ chia",
+      "Ġch ia",
+      "Ġchi a",
+      "- Ñģ",
+      "н еÑĢг",
+      "не ÑĢг",
+      "неÑĢ г",
+      "Ġì° ¾",
+      "ÑĢ ид",
+      "ÑĢи д",
+      "л оÑģÑĮ",
+      "ло ÑģÑĮ",
+      "ز ÙĦ",
+      "ê°Ģ ëĬĶ",
+      "a né",
+      "an é",
+      "Ġнав ÑĸÑĤÑĮ",
+      "ĠнавÑĸ ÑĤÑĮ",
+      "ä¸ĵ ä¸ļ",
+      "Ġ 경기",
+      "Ġê²½ 기",
+      "Ġp ÅĻev",
+      "ĠpÅĻ ev",
+      "ĠpÅĻe v",
+      "е ÑĤи",
+      "еÑĤ и",
+      "Ġ íĶĮ",
+      "ĠíĶ Į",
+      "н ÑıÑĤ",
+      "нÑı ÑĤ",
+      "à¥ģ श",
+      "à¥ģठ¶",
+      "лÑİ Ð´",
+      "в иÑī",
+      "ви Ñī",
+      "å° ¾",
+      "çļĦ äºĭ",
+      "Ġ ëIJľ",
+      "Ġë IJľ",
+      "ĠëIJ ľ",
+      "ر ÙĪÙģ",
+      "رÙĪ Ùģ",
+      "Ġ 女",
+      "Ġå¥ ³",
+      "κ ή",
+      "Ġ Tuy",
+      "ĠT uy",
+      "ĠTu y",
+      "Ġê²ĥ ìĿĦ",
+      "Ġb unu",
+      "Ġbu nu",
+      "Ġbun u",
+      "ĠÑĢаз лиÑĩ",
+      "ĠD ün",
+      "ãĤŃ ãĥ£",
+      "ÑĢ ÑĥÑģ",
+      "ÑĢÑĥ Ñģ",
+      "Ġ мм",
+      "Ġм м",
+      "l oven",
+      "lo ven",
+      "love n",
+      "lov en",
+      "Ġot ev",
+      "n oloj",
+      "ES Ä°",
+      "ü p",
+      "Ġ èĤ",
+      "Ġè Ĥ",
+      "ικ ÏĮÏĤ",
+      "ικÏĮ ÏĤ",
+      "ض اء",
+      "ضا ء",
+      "Ġ пеÑĩ",
+      "Ġп еÑĩ",
+      "ÅĻÃŃ klad",
+      "ãģĵ ãĤį",
+      "Å¡ tÃŃ",
+      "Å¡t ÃŃ",
+      "Ġبر Ú¯",
+      "ãģĮ ãģĤãĤĭ",
+      "Ñĸ ÑģÑĤ",
+      "ÑĸÑģ ÑĤ",
+      "à¥ī à¤ķ",
+      "ÏĢ η",
+      "ĠاÙĦÙħ ست",
+      "ĠاÙĦÙħس ت",
+      "Ġз ай",
+      "Ġза й",
+      "Ġch Æ°Æ¡ng",
+      "о ÑĤÑĥ",
+      "оÑĤ Ñĥ",
+      "Ġ Сам",
+      "ĠС ам",
+      "Å¡ et",
+      "Å¡e t",
+      "ĠìŀĪ ìĹĪ",
+      "ĠÙģ ار",
+      "Ñĸ он",
+      "ãĥĹ ãĥŃ",
+      "Ġnh iá»ĩt",
+      "in izi",
+      "ini zi",
+      "iniz i",
+      "Ġc ož",
+      "Ġco ž",
+      "Ġà¤Ĩ न",
+      "Ġsyst ém",
+      "ر ÙĪع",
+      "رÙĪ ع",
+      "a yet",
+      "ay et",
+      "aye t",
+      "ĠÙģر ÙĩÙĨÚ¯",
+      "Ġ è¶",
+      "Ġè ¶",
+      "èģ ·",
+      "è§Ĥ çľĭ",
+      "н ок",
+      "но к",
+      "à¸IJ าà¸Ļ",
+      "êµIJ ìľ¡",
+      "k la",
+      "kl a",
+      "ãĤģ ãģ¦",
+      "Îķ ÎĻ",
+      "åĿ Ĺ",
+      "Ġsk uteÄį",
+      "à¥Ĥ à¤ľ",
+      "ãģij ãģ¦",
+      "N GC",
+      "NG C",
+      "Ġ åĢ",
+      "Ġå Ģ",
+      "ĠÑĢоз п",
+      "nÃŃ ků",
+      "nÃŃk ů",
+      "ãĥ³ ãĤ¹",
+      "ĠÐĴ еÑĢ",
+      "Ġyüz de",
+      "Ġ미 êµŃ",
+      "ĠÙħ Ùī",
+      "д еÑĢ",
+      "де ÑĢ",
+      "а ва",
+      "ав а",
+      "Ġmerk ez",
+      "į ng",
+      "Ġ ìĤ¼",
+      "ĠìĤ ¼",
+      "ĠÑĢоб оÑĤи",
+      "ĠÑĢобоÑĤ и",
+      "Ġ нÑĮого",
+      "Ġн ÑĮого",
+      "Ġ економ",
+      "Ġе коном",
+      "Ġек оном",
+      "ĠÑĩелов ека",
+      "ĠÑĩеловек а",
+      "Ġ à¸ŀระ",
+      "Ġà¸ŀ ระ",
+      "Ġà¸ŀร ะ",
+      "ãĥ Ĵ",
+      "ãģ£ ãģ¦ãģĦ",
+      "ãģ£ãģ¦ ãģĦ",
+      "ä¼ Ĺ",
+      "ĠпÑĢод ÑĥкÑĤ",
+      "ĠпÑĢодÑĥк ÑĤ",
+      "Ġy anı",
+      "Ġyan ı",
+      "à¥Ģव न",
+      "Ġc áºŃp",
+      "ĠAv rupa",
+      "ा à¤Ń",
+      "ाठŃ",
+      "ĠìłĦ ìļ©",
+      "æķ £",
+      "ĠìľĦ íķľ",
+      "Ñħод иÑĤÑĮ",
+      "ÑħодиÑĤ ÑĮ",
+      "Ġsın ır",
+      "ü cret",
+      "üc ret",
+      "s uz",
+      "su z",
+      "æ¨ Ĥ",
+      "Ġ ì°½",
+      "Ġì° ½",
+      "Ïģ ίοÏħ",
+      "Ïģί οÏħ",
+      "åĪ ļ",
+      "Ø® ÙĦ",
+      "ëłĩ ê²Į",
+      "ج د",
+      "Ġμ αÏĤ",
+      "Ġμα ÏĤ",
+      "áºŃ m",
+      "k ara",
+      "ka ra",
+      "kar a",
+      "ãĤ« ãĥ¼",
+      "Ġkter ou",
+      "ìĽ ¨",
+      "ÑĦи ÑĨи",
+      "oÄŁ raf",
+      "Ġна пÑĢи",
+      "Ġнап ÑĢи",
+      "ãģij ãģ©",
+      "Ġ éļ",
+      "Ġé ļ",
+      "ت باÙĦ",
+      "تب اÙĦ",
+      "ëŁ ½",
+      "ìĶ ¨",
+      "íĮĮ ìĿ¼",
+      "Ïĩ α",
+      "Ġuz ak",
+      "Ġd òng",
+      "Ġг олоÑģ",
+      "Ġгол оÑģ",
+      "Ïĥ ÏĦή",
+      "ÏĥÏĦ ή",
+      "ι λ",
+      "Ø· Ùģ",
+      "Ġê·¸ ëħĢ",
+      "ãĤ¿ ãĤ¤",
+      "ا ÙĨÚ¯",
+      "اÙĨ Ú¯",
+      "i nou",
+      "in ou",
+      "ino u",
+      "л он",
+      "ло н",
+      "à¹ĩ ม",
+      "Ġब द",
+      "Ġkon usunda",
+      "Ġkonusu nda",
+      "Ġkonus unda",
+      "Ġn âng",
+      "ãģ¾ãģĽ ãĤĵ",
+      "Ñĥ ÑİÑĤÑĮÑģÑı",
+      "ÑĥÑİ ÑĤÑĮÑģÑı",
+      "ÑĥÑİÑĤÑĮ ÑģÑı",
+      "åŁ ¹",
+      "ен ко",
+      "ìł ij",
+      "Ġ ÑĤов",
+      "ĠÑĤ ов",
+      "ĠÑĤо в",
+      "Ġt ÅĻeba",
+      "ĠtÅĻ eba",
+      "ز اÙĨ",
+      "زا ÙĨ",
+      "is yon",
+      "isy on",
+      "Ġ ген",
+      "Ġг ен",
+      "Ġге н",
+      "Ġ Pokud",
+      "ĠP okud",
+      "ĠPo kud",
+      "ĠPok ud",
+      "âĢĮ اÙĨد",
+      "âĢĮاÙĨ د",
+      "Ġг ÑĢÑĥд",
+      "ĠгÑĢÑĥ д",
+      "ĠгÑĢ Ñĥд",
+      "Ġ خرÛĮد",
+      "Ġخر ÛĮد",
+      "λ λα",
+      "λλ α",
+      "Ġp ÅĻÃŃm",
+      "ĠpÅĻ ÃŃm",
+      "ĠpÅĻÃŃ m",
+      "Ġ æ³ķ",
+      "Ġæ³ ķ",
+      "Ġز ÙĨدگÛĮ",
+      "ĠزÙĨد Ú¯ÛĮ",
+      "ạ p",
+      "Ġ íĬ¸",
+      "ĠíĬ ¸",
+      "ĠÄij á»Ļc",
+      "ĠÄijá»Ļ c",
+      "Ġê·¸ ë¦¬ê³ł",
+      "Ġ그리 ê³ł",
+      "н из",
+      "ни з",
+      "Ġ ÙĬÙĤ",
+      "ĠÙĬ ÙĤ",
+      "l aÅŁtır",
+      "la ÅŁtır",
+      "laÅŁ tır",
+      "ĠпÑĢав о",
+      "ĠпÑĢа во",
+      "Ñĥ Ñģк",
+      "ÑĥÑģ к",
+      "å° ½",
+      "Ġप ड",
+      "éĵ ģ",
+      "Ġ ì·¨",
+      "Ġì ·¨",
+      "ĠاÙĦ بÙĬ",
+      "ĠاÙĦب ÙĬ",
+      "Â ¸",
+      "ิม à¸ŀ",
+      "Ġs vÄĽ",
+      "Ġsv ÄĽ",
+      "Ġб ал",
+      "Ġба л",
+      "Ġm ôn",
+      "Ġmô n",
+      "ĠD ữ",
+      "ĠØ´ دÙĨ",
+      "Ġشد ÙĨ",
+      "Ġ ÙģÙĦ",
+      "ĠÙģ ÙĦ",
+      "Ġv znik",
+      "Ġvz nik",
+      "Ġch ứ",
+      "ĠÑģÑĤ ÑĢÑĥкÑĤÑĥ",
+      "ç¸ £",
+      "ĠH oa",
+      "ĠHo a",
+      "í ĮĢ",
+      "íĮ Ģ",
+      "Ġ ÑĢÑĸÑĪ",
+      "ĠÑĢ ÑĸÑĪ",
+      "Ġвоз дÑĥ",
+      "олÑĮ ÑĪ",
+      "οÏħ με",
+      "ู à¸Ļ",
+      "Ġп ÑĢид",
+      "ĠпÑĢ ид",
+      "ĠпÑĢи д",
+      "il mek",
+      "ilm ek",
+      "ĠاÙĦ ÙĤر",
+      "ĠاÙĦÙĤ ر",
+      "Į ĵ",
+      "Ġ uç",
+      "Ġu ç",
+      "å¨ ĺ",
+      "ec ektir",
+      "ecek tir",
+      "Ġ íħĮ",
+      "Ġí ħĮ",
+      "Ġíħ Į",
+      "Ġ εÏħ",
+      "Ġε Ïħ",
+      "Ġh òa",
+      "Ïģ Ïħ",
+      "ึà¸ģษ า",
+      "ĠÑĤеÑħ нолог",
+      "ú i",
+      "Ġbilg iler",
+      "Ġbilgi ler",
+      "Ġ ÙĤاÙĦ",
+      "ĠÙĤ اÙĦ",
+      "e dl",
+      "ed l",
+      "z nám",
+      "zn ám",
+      "á ly",
+      "ál y",
+      "åºĶ 该",
+      "алÑĮ ний",
+      "аÑĤ елÑı",
+      "аÑĤе лÑı",
+      "à¸Ļ วà¸Ļ",
+      "à¸Ļว à¸Ļ",
+      "Ġ ÐŁÐ¾Ð»",
+      "ĠÐŁ ол",
+      "ĠÐŁÐ¾ л",
+      "à¸ŀ à¸Ļ",
+      "ç¤ ¼",
+      "Ġt asar",
+      "Ġta sar",
+      "Ġtas ar",
+      "ĠÑĤ ой",
+      "ĠÑĤо й",
+      "Ġм еÑģÑı",
+      "Ġ иÑģк",
+      "Ġи Ñģк",
+      "ĠиÑģ к",
+      "Ġप द",
+      "γ ή",
+      "ا ختÙĩ",
+      "اخ تÙĩ",
+      "اخت Ùĩ",
+      "è¿Ļ éĩĮ",
+      "Ġch á»īnh",
+      "Ġchá»ī nh",
+      "ĠÙĤ سÙħ",
+      "Ùİ Ùĩ",
+      "er li",
+      "åĽ½ éĻħ",
+      "il iyor",
+      "ili yor",
+      "ĠØ´Ùĩر ستاÙĨ",
+      "Ġve lk",
+      "Ġvel k",
+      "åĽ º",
+      "Ġб ÑĸлÑĮÑĪ",
+      "ĠбÑĸлÑĮ ÑĪ",
+      "ãĥ¼ ãĥĹ",
+      "ãĥ¼ãĥ Ĺ",
+      "æŁ IJ",
+      "ì§ ľ",
+      "ĠÄĮ R",
+      "Ġд ек",
+      "Ġде к",
+      "ر بÛĮ",
+      "رب ÛĮ",
+      "о виÑĩ",
+      "ов иÑĩ",
+      "ови Ñĩ",
+      "Ġkap sam",
+      "Ġkaps am",
+      "ĠÙĦ Ø£",
+      "Ġ анÑĤи",
+      "Ġан ÑĤи",
+      "Ġ ücret",
+      "Ġü cret",
+      "ê² ¬",
+      "о ÑĢож",
+      "оÑĢ ож",
+      "оÑĢо ж",
+      "ÛĮ ÙħÛĮ",
+      "ÛĮÙħ ÛĮ",
+      "è© ķ",
+      "Ġ ë§ŀ",
+      "Ġë§ ŀ",
+      "Ġ ÑĢÑıд",
+      "ĠÑĢ Ñıд",
+      "ĠÑĢÑı д",
+      "ĠÙĩÙħ راÙĩ",
+      "â r",
+      "ا بت",
+      "اب ت",
+      "ĠиÑģполÑĮзов аÑĤÑĮ",
+      "ĠиÑģполÑĮз оваÑĤÑĮ",
+      "к Ñģ",
+      "âī ¡",
+      "Ġo lay",
+      "Ġol ay",
+      "Ġola y",
+      "èį ¯",
+      "Ġo prav",
+      "Ġop rav",
+      "Ġopr av",
+      "Ġدرب ارÙĩ",
+      "Ġ ä¸ŃåĽ½",
+      "Ġä¸Ń åĽ½",
+      "и лÑģÑı",
+      "ил ÑģÑı",
+      "åį «",
+      "ĠاÙĦ است",
+      "ĠاÙĦاس ت",
+      "ÙĪÛĮ ÛĮ",
+      "ÑĢ еÑĪ",
+      "ÑĢе ÑĪ",
+      "Ġ ÙĨس",
+      "ĠÙĨ س",
+      "ãĢĤ åľ¨",
+      "Ġ ÙĦØŃ",
+      "ĠÙĦ ØŃ",
+      "Ġko run",
+      "Ġkor un",
+      "ĠÙģ رد",
+      "ĠÙģر د",
+      "Ġо боÑĢ",
+      "Ġоб оÑĢ",
+      "Ġобо ÑĢ",
+      "е ÑĪÑĮ",
+      "еÑĪ ÑĮ",
+      "Ġpod mÃŃn",
+      "Ġ ë¬¸ìłľ",
+      "Ġ문 ìłľ",
+      "ĠdeÄŁer lendir",
+      "ä¸į åIJĮ",
+      "æ¶ ²",
+      "ा हर",
+      "ाह र",
+      "íļ į",
+      "à¥į à¤ł",
+      "à¥įठł",
+      "и ÑĤиÑģÑı",
+      "иÑĤи ÑģÑı",
+      "ا ÙĦع",
+      "اÙĦ ع",
+      "Ġd vÄĽ",
+      "Ġdv ÄĽ",
+      "ĠпеÑĢ ек",
+      "ĠпеÑĢе к",
+      "Ġ åħĥ",
+      "Ġåħ ĥ",
+      "Ġ aras",
+      "Ġa ras",
+      "Ġar as",
+      "Ġara s",
+      "Ġalt ında",
+      "Ġaltın da",
+      "Ġaltı nda",
+      "Ġв за",
+      "Ġвз а",
+      "æĴ ĥ",
+      "Ġmil yon",
+      "Ġ åѦ",
+      "ĠåŃ ¦",
+      "Ġв аÑĢи",
+      "ĠваÑĢ и",
+      "Ġва ÑĢи",
+      "ĠاÙĦع اÙĦÙħ",
+      "' Ñı",
+      "ÙĪ ÛĮس",
+      "ÙĪÛĮ س",
+      "Ġмож ÑĥÑĤÑĮ",
+      "ãģij ãģŁ",
+      "ìĿ´ ìĹĪëĭ¤",
+      "ìĿ´ìĹĪ ëĭ¤",
+      "ο Ïįν",
+      "οÏį ν",
+      "Ġ éŁ",
+      "Ġé Ł",
+      "Ġpost up",
+      "Ġpo stup",
+      "ü yük",
+      "üy ük",
+      "åĪ Ĭ",
+      "Ġ ÙĤب",
+      "ĠÙĤ ب",
+      "Ġاص ÙĦÛĮ",
+      "ĠاصÙĦ ÛĮ",
+      "ÙĪ Ùī",
+      "Ġrep ublik",
+      "Ġ ÐĻ",
+      "ĠÐ Ļ",
+      "ģ m",
+      "Ġб ел",
+      "ा -",
+      "Ñģ кое",
+      "Ñģк ое",
+      "Ñģко е",
+      "Ġcu á»iji",
+      "è² ·",
+      "ี ยว",
+      "ีย ว",
+      "éĩį è¦ģ",
+      "ู ม",
+      "ĠÑĢозвиÑĤ кÑĥ",
+      "Ġ ë°±",
+      "Ġë° ±",
+      "åĥ ¹",
+      "Ġ åīį",
+      "Ġåī į",
+      "à¹Ħ à¸ĭ",
+      "ãĢĮ âĢ¦âĢ¦",
+      "à¥Į त",
+      "ک رد",
+      "کر د",
+      "Ġza ÅĻÃŃzenÃŃ",
+      "ส าร",
+      "Ġle tech",
+      "Ġlet ech",
+      "l emek",
+      "le mek",
+      "lem ek",
+      "leme k",
+      "人 ãģ®",
+      "Ġd ưỡng",
+      "ĠdÆ°á» ¡ng",
+      "ت ÙĤ",
+      "Ġ åĵ",
+      "Ġå ĵ",
+      "åħ »",
+      "Ġ ëıħ",
+      "Ġëı ħ",
+      "Ġ 루",
+      "Ġë £¨",
+      "Ġë£ ¨",
+      "Ø° ÙĦÙĥ",
+      "Ġ ìĿ¼ë³¸",
+      "ĠìĿ¼ 본",
+      "ĠAy rıca",
+      "ĠÙ¾ Úĺ",
+      "is inin",
+      "isi nin",
+      "isin in",
+      "isini n",
+      "Ġìĭ ¶",
+      "Ú¯ ÛĮرÛĮ",
+      "Ú¯ÛĮ رÛĮ",
+      "Ú¯ÛĮر ÛĮ",
+      "خص ص",
+      "³ ç´°",
+      "ĠмаÑĤеÑĢи ал",
+      "k ové",
+      "ko vé",
+      "kov é",
+      "ë§ ī",
+      "ãģķ ãģĽ",
+      "ĠÑĤак ой",
+      "ĠÑĤа кой",
+      "Ġtr áºŃn",
+      "Ġ лиÑĨ",
+      "Ġл иÑĨ",
+      "Ġли ÑĨ",
+      "Ġ åĽĽ",
+      "ĠåĽ Ľ",
+      "Ñĩ Ñĥ",
+      "Ġ æ°´",
+      "Ġæ° ´",
+      "Ġdo lay",
+      "Ġdol ay",
+      "å½ ¹",
+      "ÑĢ ива",
+      "ÑĢи ва",
+      "ÑĢив а",
+      "Ġг ÑĢÑĥпп",
+      "ĠгÑĢÑĥ пп",
+      "ĠгÑĢÑĥп п",
+      "Ġmüm kün",
+      "л ена",
+      "лен а",
+      "ле на",
+      "ëĿ¼ ëĬĶ",
+      "åĪ© çĶ¨",
+      "Ġr ahat",
+      "Ġra hat",
+      "ï¼ıï¼ı ï¼ıï¼ı",
+      "æģ ©",
+      "Ġ íķŃ",
+      "Ġíķ Ń",
+      "Ġ íĴ",
+      "Ġí Ĵ",
+      "Ġ ìĬ¹",
+      "ĠìĬ ¹",
+      "Ġch ân",
+      "Ġ ãĤ¨",
+      "ĠãĤ ¨",
+      "Ġжиз ни",
+      "çĸ ij",
+      "ãĢĤ ä»ĸ",
+      "리 ìĬ¤",
+      "Ñĩ иÑħ",
+      "Ñĩи Ñħ",
+      "Ġ é¦ĸ",
+      "Ġé¦ ĸ",
+      "ÄĽ r",
+      "Ġй омÑĥ",
+      "Ġth áºŃt",
+      "Ġìķ ŀ",
+      "c ih",
+      "ci h",
+      "س ÙĦاÙħ",
+      "سÙĦ اÙħ",
+      "Ġs iyas",
+      "Ġsi yas",
+      "Ġ íĸĪ",
+      "Ġíĸ Ī",
+      "Ġк оÑĪ",
+      "Ġко ÑĪ",
+      "Ïĥ αν",
+      "Ïĥα ν",
+      "ÙĬ اÙĨ",
+      "ÙĬا ÙĨ",
+      "Ġd ö",
+      "ाह त",
+      "о ÑĢод",
+      "оÑĢ од",
+      "оÑĢо д",
+      "о ваÑı",
+      "ов аÑı",
+      "ова Ñı",
+      "ÑĨи оналÑĮ",
+      "ÑĨион алÑĮ",
+      "ائ Ùĩ",
+      "Ġà¤ĸ र",
+      "ĠÄij á»Ŀi",
+      "ĠÄijá» Ŀi",
+      "ä¸į ä¼ļ",
+      "Ùĥ ز",
+      "ี à¸Ħวาม",
+      "ีà¸Ħ วาม",
+      "l ıyor",
+      "lı yor",
+      "à¥ĭ द",
+      "Ġ 충",
+      "Ġì¶ ©",
+      "Ġc á»ij",
+      "à¹Ĥ à¸ķ",
+      "Ġε ÏĢί",
+      "ĠεÏĢ ί",
+      "ĠпÑĢ Ñıм",
+      "æ³ °",
+      "ا ÙĦØ©",
+      "اÙĦ Ø©",
+      "j ÃŃm",
+      "jÃŃ m",
+      "Ġ би",
+      "Ġб и",
+      "Å¡ em",
+      "Å¡e m",
+      "ĠH á»Ļi",
+      "à¸Ħ รà¸ĩ",
+      "à¸Ħร à¸ĩ",
+      "Ġh uyá»ĩn",
+      "Ġhuy á»ĩn",
+      "ç¯ Ģ",
+      "l iš",
+      "li Å¡",
+      "ĠجÙĩ ت",
+      "ç§ ĭ",
+      "ĠÑĨ ел",
+      "ĠÑĨе л",
+      "Ġ лÑĸÑĤ",
+      "Ġл ÑĸÑĤ",
+      "ĠлÑĸ ÑĤ",
+      "Ġ æ·",
+      "Ġæ ·",
+      "ж Ñĥ",
+      "ãģĪ ãģŁ",
+      "ë´ ī",
+      "Ġ 머",
+      "Ġë¨ ¸",
+      "åł´ åIJĪ",
+      "éĿ ©",
+      "ãĥª ãĥ³",
+      "ег да",
+      "Ġbe nim",
+      "Ġben im",
+      "Ġbeni m",
+      "çĽ Ł",
+      "ãģ® ä¸Ń",
+      "åĿ IJ",
+      "ĠÃľniversit esi",
+      "Ġko ÅŁ",
+      "Ġп ож",
+      "Ġпо ж",
+      "iá»ĩ p",
+      "ĠpÅĻ ij",
+      "ĠpÅĻi j",
+      "ëŀ ¨",
+      "ĠاÙĦ أس",
+      "ĠاÙĦØ£ س",
+      "ár nÃŃ",
+      "iế m",
+      "Ġ èĬ",
+      "Ġè Ĭ",
+      "Ġ δε",
+      "Ġδ ε",
+      "å¨ ±ä¹IJ",
+      "Ġ Æ°u",
+      "Ġ çĦ¡",
+      "ĠçĦ ¡",
+      "Ġг ÑĢи",
+      "ĠгÑĢ и",
+      "Ġпо ÑįÑĤомÑĥ",
+      "ĠÄij óng",
+      "ĠÄijó ng",
+      "ĠÄijón g",
+      "ج اÙĨ",
+      "جا ÙĨ",
+      "Ġngh iên",
+      "Ġnghi ên",
+      "Ġا ÙĦاÙĨ",
+      "ĠاÙĦ اÙĨ",
+      "ÑĪ ей",
+      "ÑĪе й",
+      "à¹ģ รà¸ģ",
+      "ĠÚĨ Ùĩار",
+      "ĠÚĨÙĩ ار",
+      "Ñİ Ñīий",
+      "ÑİÑī ий",
+      "ÏĮ Ïģ",
+      "Ġ رÙħ",
+      "Ġر Ùħ",
+      "ì² ł",
+      "Ġدست گاÙĩ",
+      "Ġ دÛĮد",
+      "Ġد ÛĮد",
+      "ĠدÛĮ د",
+      "ãĥĥãĤ¯ ãĤ¹",
+      "ा मन",
+      "ाम न",
+      "ĠTh Ãłnh",
+      "Ġth ẩm",
+      "Ġc Ãłng",
+      "ĠcÃł ng",
+      "Ġdön Ã¼ÅŁ",
+      "ĠпÑĢи гоÑĤов",
+      "ĠпÑĢиг оÑĤов",
+      "Ġk iÅŁi",
+      "Ġki ÅŁi",
+      "ĠkiÅŁ i",
+      "ØŃ Øª",
+      "Ġ ë²ķ",
+      "Ġë² ķ",
+      "é£ Ľ",
+      "Ġit ibar",
+      "Ġг лав",
+      "Ġгла в",
+      "Ġor tam",
+      "Ġort am",
+      "Ġorta m",
+      "Ġm add",
+      "Ġma dd",
+      "Ġmad d",
+      "Ġ оÑģÑĤав",
+      "Ġо ÑģÑĤав",
+      "ĠоÑģÑĤ ав",
+      "ĠÙģÙĪ تباÙĦ",
+      "ĠÙģÙĪت باÙĦ",
+      "Ġan laÅŁ",
+      "l eyen",
+      "le yen",
+      "ley en",
+      "ç ´Ģ",
+      "ç´ Ģ",
+      "Ġ é£",
+      "Ġé £",
+      "/ lo",
+      "/l o",
+      "Ùħ ÙĪÙĦ",
+      "ÙħÙĪ ÙĦ",
+      "Ġд ÑĥÑħ",
+      "ĠдÑĥ Ñħ",
+      "Ġ ÙĦب",
+      "ĠÙĦ ب",
+      "л ег",
+      "ле г",
+      "Ġgö nder",
+      "Ġgön der",
+      "ÙĬ Ø·",
+      "Ġ สำ",
+      "Ġส ำ",
+      "Ġv ás",
+      "Ġvá s",
+      "ĠÐŁ еÑĤ",
+      "а лоÑģÑı",
+      "ало ÑģÑı",
+      "ì ¿ł",
+      "ì¿ ł",
+      "éĻ ½",
+      "åĸ ®",
+      "èĪ ŀ",
+      "н Ñĥл",
+      "нÑĥ л",
+      "ÄŁ ine",
+      "ÄŁi ne",
+      "ÄŁin e",
+      "Ġ ghi",
+      "Ġg hi",
+      "Ġgh i",
+      "Ġ çµ",
+      "Ġç µ",
+      "ÙĬ ÙĨÙĬ",
+      "ÙĬÙĨ ÙĬ",
+      "Å ½",
+      "Ġhük üm",
+      "ĠD Ä±ÅŁ",
+      "ĠÎŃ Ïĩει",
+      "ĠÎŃÏĩ ει",
+      "Ġ Ñģка",
+      "ĠÑģ ка",
+      "ĠÑģк а",
+      "Ġ ÑĤим",
+      "ĠÑĤ им",
+      "ĠÑĤи м",
+      "Ġп оÑģÑĤав",
+      "Ġпо ÑģÑĤав",
+      "ĠпоÑģÑĤ ав",
+      "à¸Ļ าà¸Ķ",
+      "à¸Ļา à¸Ķ",
+      "d ül",
+      "dü l",
+      "Ġd va",
+      "Ġdv a",
+      "Ġ à¸Ħà¸Ļ",
+      "Ġà¸Ħ à¸Ļ",
+      "Ġchá»ĭ u",
+      "Ġ èı",
+      "Ġè ı",
+      "à¹ģส à¸Ķà¸ĩ",
+      "æ° £",
+      "Ġ íĪ¬",
+      "Ġí Ī¬",
+      "Ġ Ñĩин",
+      "ĠÑĩ ин",
+      "ĠÑĩи н",
+      "ãģ« ãģĬ",
+      "ен ноÑģÑĤи",
+      "енно ÑģÑĤи",
+      "ÐIJ ÐĿ",
+      "Ġh emen",
+      "Ġhe men",
+      "Ġhem en",
+      "Ġ ait",
+      "Ġa it",
+      "Ġai t",
+      "Ġ à¤Ĭ",
+      "ĠठĬ",
+      "æī §",
+      "ĠA BD",
+      "ĠAB D",
+      "Ġκα θ",
+      "æ´ Ľ",
+      "ãĤ¢ ãĥ«",
+      "à¹ī าà¸Ĺ",
+      "à¹īา à¸Ĺ",
+      "ÅĻ ez",
+      "ÅĻe z",
+      "d ÄĽji",
+      "dÄĽ ji",
+      "Ġt á»ĭch",
+      "еннÑı м",
+      "Ġв ÑģÑĤанов",
+      "ĠвÑģÑĤ анов",
+      "ĠاÙĦ بر",
+      "ĠاÙĦب ر",
+      "ÙĪÙħ تر",
+      "k ách",
+      "ká ch",
+      "åº Ĭ",
+      "л Ñĥж",
+      "лÑĥ ж",
+      "Ġ تد",
+      "Ġت د",
+      "ä¸ ½",
+      "ر خ",
+      "à¤Ĥ à¤ĸ",
+      "èĩªå·± çļĦ",
+      "å®ĺ ç½ij",
+      "- Ñı",
+      "à¹ĩ à¸Ķ",
+      "èĦ ļ",
+      "Ġ çķ",
+      "Ġç ķ",
+      "Ġiçer isinde",
+      "Ġb iá»ĥn",
+      "Ġbi á»ĥn",
+      "Ġ à¸ģล",
+      "Ġà¸ģ ล",
+      "Ġy aÄŁ",
+      "Ġya ÄŁ",
+      "Ġ æ´",
+      "Ġæ ´",
+      "Ġ бÑĢа",
+      "Ġб ÑĢа",
+      "ع ار",
+      "عا ر",
+      "æĪ °",
+      "à¥Ģ Ċ",
+      "Ġlé Äį",
+      "a ların",
+      "alar ın",
+      "aları n",
+      "Ġ Îĸ",
+      "ĠÎ ĸ",
+      "а ÑĢÑı",
+      "аÑĢ Ñı",
+      "ãģĿ ãĤĵãģª",
+      "ÅĪ uje",
+      "ãĢĢ Ġ",
+      "ĠsaÄŁ lık",
+      "Ġдо ÑģлÑĸд",
+      "ĠдоÑģ лÑĸд",
+      "ÃŃ Å¡",
+      "à¥įर श",
+      "à¥ī न",
+      "Ġgi ả",
+      "بÙĪ اسطة",
+      "å® ģ",
+      "Ġs oud",
+      "Ġso ud",
+      "Ġsou d",
+      "Ġк ÑĤо",
+      "e sel",
+      "es el",
+      "ese l",
+      "Ġп ам",
+      "Ġпа м",
+      "Ġ ÂłĠ",
+      "ĠÂł Ġ",
+      "ĠÄį lov",
+      "æ· ·",
+      "ห à¸į",
+      "ĠOs man",
+      "æ ¦Ĥ",
+      "æ¦ Ĥ",
+      "Ġ åĭ",
+      "Ġå ĭ",
+      "ï¼Į åħ¶",
+      "Ġ à¸Ħร",
+      "Ġà¸Ħ ร",
+      "Ġmá» ģm",
+      "Ġ ÑģоÑĢ",
+      "ĠÑģ оÑĢ",
+      "ĠÑģо ÑĢ",
+      "çĨ ±",
+      "Ġthu ê",
+      "ر ج",
+      "à¹Ĥล à¸ģ",
+      "Ġ íķĺê³ł",
+      "Ġíķĺ ê³ł",
+      "ÙĬ دة",
+      "ÙĬد Ø©",
+      "ĠaÅŁ aģı",
+      "Ġk á»ĥ",
+      "Ġká» ĥ",
+      "à¸ķ ำ",
+      "λ ει",
+      "λε ι",
+      "çļĦ è¯Ŀ",
+      "æ± ł",
+      "ĠÑģ ÑĤен",
+      "ĠÑģÑĤ ен",
+      "Ġin cel",
+      "Ġinc el",
+      "Ġince l",
+      "åº Ń",
+      "ÑĤ оÑĩ",
+      "ÑĤо Ñĩ",
+      "Ġprob lém",
+      "Ġprobl ém",
+      "ÏĦ Ïĥ",
+      "à¹ī à¸Ńà¸Ļ",
+      "à¹īà¸Ń à¸Ļ",
+      "ë³´ ëĭ¤",
+      "Ġà¤Ĩ à¤Ĺ",
+      "ν αÏĤ",
+      "να ÏĤ",
+      "ãģĦ ãĤĭ",
+      "Ġd ục",
+      "Ġdụ c",
+      "Ġtoho to",
+      "Ġtoh oto",
+      "ëIJĺ ìĹĪëĭ¤",
+      "ëIJĺìĹĪ ëĭ¤",
+      "T J",
+      "Ġви знаÑĩ",
+      "ĠB unun",
+      "ĠBu nun",
+      "ĠBun un",
+      "ĠBunu n",
+      "à¤Ĥ बर",
+      "à¤Ĥब र",
+      "ĠÙĩÙħÚĨ ÙĨÛĮÙĨ",
+      "Ġб Ñİдж",
+      "Ñĥ ÑĢг",
+      "ÑĥÑĢ г",
+      "äº ®",
+      "Ġμε γ",
+      "Ġtop lum",
+      "Ġtopl um",
+      "ãģ£ ãģ",
+      "о ÑĤо",
+      "оÑĤ о",
+      ": |",
+      "éĿŀ 常",
+      "ิ à¸Ĺà¸ĺ",
+      "ิà¸Ĺ à¸ĺ",
+      "éģ ķ",
+      "âĢĮÙ¾ دÛĮ",
+      "Ġз ÑĢоб",
+      "à¹Į à¸Ķ",
+      "Ġдолж ен",
+      "Ġдол жен",
+      "ĠmÄĽ sta",
+      "ĠmÄĽst a",
+      "ÛĮ Ø´Ùĩ",
+      "ÛĮØ´ Ùĩ",
+      "v atel",
+      "va tel",
+      "vat el",
+      "Ġprov oz",
+      "Ġ inan",
+      "Ġin an",
+      "Ġi nan",
+      "à¤Ĥ प",
+      "Ġpar ç",
+      "ÑĢ аÑģÑĤ",
+      "ÑĢа ÑģÑĤ",
+      "ÑĢаÑģ ÑĤ",
+      "üm ü",
+      "Ġgi á»ijng",
+      "Ġgiá» ijng",
+      "æ¬ ¢",
+      "Ø« ÙĬر",
+      "ĠB akan",
+      "ĠBa kan",
+      "ĠBak an",
+      "Ġ âĪ¨",
+      "ĠâĪ ¨",
+      "Ġ باÙĨ",
+      "Ġب اÙĨ",
+      "Ġبا ÙĨ",
+      "Û± Û¸",
+      "Û±Û ¸",
+      "ãĤĤ ãģĨ",
+      "land ı",
+      "lan dı",
+      "Ġyen iden",
+      "Ġyeni den",
+      "ÑĨ енÑĤ",
+      "ÑĨе нÑĤ",
+      "ÑĨен ÑĤ",
+      "Ġде ÑıÑĤелÑĮ",
+      "Ð ©",
+      "Ġ rov",
+      "Ġr ov",
+      "Ġro v",
+      "å®Į åħ¨",
+      "ĠK ỳ",
+      "s lu",
+      "sl u",
+      "Ġl ấy",
+      "é¤ IJ",
+      "ĠÑĩ олов",
+      "ä¼ Ŀ",
+      "ĠbaÅŁ v",
+      "å° Ī",
+      "ê³ ¡",
+      "ãĢģ ãģĿãĤĮ",
+      "Ġ PÅĻÃŃ",
+      "ĠP ÅĻÃŃ",
+      "ĠPÅĻ ÃŃ",
+      "д ем",
+      "де м",
+      "ĠпÑĢо ек",
+      "ร à¸ĸ",
+      "建 设",
+      "Ġмож лив",
+      "æ® º",
+      "ãģ¡ãĤĥ ãĤĵ",
+      "æķ ij",
+      "ĠÄį ty",
+      "ĠÄįt y",
+      "é¦ Ĩ",
+      "о ÑĢÑĥ",
+      "оÑĢ Ñĥ",
+      "Ġ æĦ",
+      "Ġæ Ħ",
+      "Ġk ÃŃch",
+      "λ οÏħ",
+      "λο Ïħ",
+      "ãģĦ ãģ¤",
+      "Ġc Äĥn",
+      "ĠcÄĥ n",
+      "Ạµ",
+      "Ġel de",
+      "éº »",
+      "ÄŁ e",
+      "Ġdo bÄĽ",
+      "Ġdob ÄĽ",
+      "ा यर",
+      "ाय र",
+      "Ġ ãĥı",
+      "Ġãĥ ı",
+      "н ен",
+      "не н",
+      "Ġmůže te",
+      "Ġmůž ete",
+      "Ġна ÑģÑĤÑĥп",
+      "ĠнаÑģÑĤ Ñĥп",
+      "ìĭľ ê°Ħ",
+      "ĠÑģим пÑĤом",
+      "Ġ ÏĥÏį",
+      "ĠÏĥ Ïį",
+      "Ġ سÙĦ",
+      "Ġس ÙĦ",
+      "ε κ",
+      "ร à¸ĵ",
+      "á te",
+      "át e",
+      "ek ler",
+      "ekl er",
+      "ĠвÑĢем ени",
+      "ĠвÑĢемен и",
+      "âĢĮ ÙĩاÛĮÛĮ",
+      "âĢĮÙĩاÛĮ ÛĮ",
+      "ãģĬ ãĤĬ",
+      "ж и",
+      "Ñĭ ваеÑĤÑģÑı",
+      "Ñĭв аеÑĤÑģÑı",
+      "Ñĭва еÑĤÑģÑı",
+      "ÑĭваеÑĤ ÑģÑı",
+      "Ùħ اÙĨÛĮ",
+      "ÙħاÙĨ ÛĮ",
+      "Ùħا ÙĨÛĮ",
+      "à¸ķ ล",
+      "Ġ صد",
+      "Ġص د",
+      "Ġ вол",
+      "Ġв ол",
+      "Ġво л",
+      "ìĬ Ī",
+      "ĠÙĥ Ùħا",
+      "ĠÙĥÙħ ا",
+      "Ġnh ằm",
+      "èģ ¯",
+      "ov acÃŃ",
+      "ova cÃŃ",
+      "Ġë§Į ëĵ¤",
+      "ÙĪ Ù¾",
+      "Ġ ë¸Į",
+      "Ġë¸ Į",
+      "ب ÙĬØ©",
+      "بÙĬ Ø©",
+      "u yla",
+      "uy la",
+      "л ено",
+      "лен о",
+      "ле но",
+      "èĮ ¶",
+      "ÑĢ ей",
+      "ÑĢе й",
+      "Ġk li",
+      "Ġkl i",
+      "Ġüzer inden",
+      "Ġüzerinde n",
+      "н еÑĤ",
+      "не ÑĤ",
+      "r aÄį",
+      "ra Äį",
+      "ĠпÑĢа ÑĨÑİ",
+      "Ġed iyor",
+      "Ġedi yor",
+      "ãģı ãģł",
+      "Ġ Äįast",
+      "ĠÄį ast",
+      "ĠÄįas t",
+      "i yi",
+      "iy i",
+      "éĬ Ģ",
+      "Ġd ù",
+      "Ùİ Ø¨",
+      "ÙĪ ÙĬØ©",
+      "ÙĪÙĬ Ø©",
+      "å ª",
+      "Ġs ınıf",
+      "Ġsın ıf",
+      "Ġس اعت",
+      "Ġ ราย",
+      "Ġร าย",
+      "Ġза Ñıв",
+      "Ġg ặp",
+      "à¸Ń ว",
+      "ĠØ« Ùħ",
+      "ĠZ á",
+      "ĠвÑĸд к",
+      "i zik",
+      "iz ik",
+      "izi k",
+      "Ġm ón",
+      "Ġmó n",
+      "Ġпов ÑĭÑĪ",
+      "Ġ à¸ļาà¸Ĺ",
+      "Ġà¸ļ าà¸Ĺ",
+      "ĠÑģ ил",
+      "ĠÑģи л",
+      "æĥħ åł±",
+      "Âł t",
+      "ĠÐľ оÑģк",
+      "Ġê²ĥ ìĿ´ëĭ¤",
+      "Ġê²ĥìĿ´ ëĭ¤",
+      "Ġ çIJ",
+      "Ġç IJ",
+      "ĠÙħدÛĮر ÛĮت",
+      "ов оÑĹ",
+      "ово ÑĹ",
+      "Τ ο",
+      "çº ª",
+      "нÑĸ ÑĪе",
+      "нÑĸÑĪ е",
+      "Ġ ÐĽÑİ",
+      "ĠÐĽ Ñİ",
+      "η Ïĥη",
+      "ĠÙĨسب ت",
+      "ĠÙĨس بت",
+      "m uz",
+      "mu z",
+      "ร ว",
+      "ãĢģ ãģĤ",
+      "Ġбол ез",
+      "Ġtr ách",
+      "ãĥ ¦",
+      "à¹Ģà¸Ĥ า",
+      "Ġê·¸ ëĬĶ",
+      "ب رÛĮ",
+      "بر ÛĮ",
+      "æł ª",
+      "ëĿ¼ ìĿ´",
+      "Ġ íĮ¨",
+      "Ġí Į¨",
+      "ĠíĮ ¨",
+      "íĬ ¹",
+      "ľ ´",
+      "ि ड",
+      "िठ¡",
+      "ÑĢо ме",
+      "ÑĢом е",
+      "è® ²",
+      "Ġ ÑĤон",
+      "ĠÑĤ он",
+      "ĠÑĤо н",
+      "Ñģ Ñĸ",
+      "Ġ ç®",
+      "Ġç ®",
+      "åıĸ ãĤĬ",
+      "ì° °",
+      "Ġ ÙĪÙĦÛĮ",
+      "ĠÙĪ ÙĦÛĮ",
+      "ĠÙĪÙĦ ÛĮ",
+      "Ġس Ø·ØŃ",
+      "èı ľ",
+      "н ами",
+      "на ми",
+      "нам и",
+      "T ürk",
+      "åİ Ĥ",
+      "Ġf inan",
+      "Ġfin an",
+      "Ġfi nan",
+      "ãģ« ãģªãĤĭ",
+      "ãģ«ãģª ãĤĭ",
+      "Ġ oby",
+      "Ġo by",
+      "Ġob y",
+      "T rong",
+      "Tr ong",
+      "Tro ng",
+      "Ġv yp",
+      "Ġvy p",
+      "à¥ģ ड",
+      "à¥ģठ¡",
+      "ìŀIJ ê°Ģ",
+      "Ġ æīĢ",
+      "Ġæī Ģ",
+      "ÐĹ Ð°",
+      "um lu",
+      "uml u",
+      "ëĵ Ŀ",
+      "Ġм енÑĸ",
+      "Ġмен Ñĸ",
+      "ол ниÑĤелÑĮ",
+      "олн иÑĤелÑĮ",
+      "Ġú Äįin",
+      "ĠúÄį in",
+      "Ġb unun",
+      "Ġbu nun",
+      "Ġbun un",
+      "Ġbunu n",
+      "ĠÐłÐ¾Ñģ Ñģии",
+      "в ÑģÑı",
+      "Ġн Ñĸж",
+      "ĠнÑĸ ж",
+      "ิà¸Ķ à¸ķ",
+      "غ ة",
+      "Ä ļ",
+      "Ġ سÙħ",
+      "Ġس Ùħ",
+      "Ġ Ðĺз",
+      "ĠÐĺ з",
+      "à¥ĩ प",
+      "à¥ĩठª",
+      "大 çļĦ",
+      "ì¹ ľ",
+      "Ġ иÑģÑĤ",
+      "Ġи ÑģÑĤ",
+      "ĠиÑģ ÑĤ",
+      "Ġкон ÑģÑĤÑĢÑĥк",
+      "Û± Û²",
+      "Û±Û ²",
+      "â l",
+      "Ġ ÑĪиÑĢ",
+      "ĠÑĪ иÑĢ",
+      "ĠÑĪи ÑĢ",
+      "ï¼ ł",
+      "Ġar tık",
+      "Ġart ık",
+      "æŁ ĵ",
+      "ä¹ ¡",
+      "ÃŃ te",
+      "ÃŃt e",
+      "ĠNh áºŃt",
+      "ĠÎĶ η",
+      "Ġöl ç",
+      "êµ ´",
+      "о Ñıн",
+      "оÑı н",
+      "ëĵ± ë¡Ŀ",
+      "Ġng ân",
+      "Ġ бÑĥдÑĮ",
+      "ĠбÑĥд ÑĮ",
+      "ÎŁ Ρ",
+      "ÎŁÎ ¡",
+      "ì ´",
+      "Ùħ ÙĪد",
+      "ÙħÙĪ د",
+      "ν ον",
+      "νο ν",
+      "Îķ ÎĿ",
+      "çij ŀ",
+      "ĠÅĻ ek",
+      "ĠÅĻe k",
+      "- âĢIJ",
+      "ĠM erk",
+      "ĠMe rk",
+      "ĠMer k",
+      "Ġоп ÑĢедел",
+      "ĠопÑĢед ел",
+      "Ïģ ιν",
+      "Ïģι ν",
+      "л аб",
+      "ла б",
+      "ëĦ¤ ìļĶ",
+      "Ġб лиз",
+      "Ġбл из",
+      "Ġбли з",
+      "Ġph á»iji",
+      "Ġphá»ij i",
+      "Ġдолж нÑĭ",
+      "ĠÑį кÑģп",
+      "ĠÑįк Ñģп",
+      "à¸ļ à¸Ĺ",
+      "à¸Ľà¸£à¸° ส",
+      "ĠÙ¾Úĺ ÙĪÙĩ",
+      "Ġ íķľëĭ¤",
+      "Ġíķľ ëĭ¤",
+      "ÏĦ οÏį",
+      "ÏĦο Ïį",
+      "Ùĩ ÙĨ",
+      "Ġд од",
+      "Ġдо д",
+      "Ġk ayı",
+      "Ġka yı",
+      "Ġkay ı",
+      "Ł ģ",
+      "Ñģ иÑı",
+      "Ñģи Ñı",
+      "à¤Ĥ तर",
+      "à¤Ĥत र",
+      "Ġpod nik",
+      "e vi",
+      "ev i",
+      "ÛĮ ÛĮر",
+      "Т ак",
+      "Та к",
+      "к оп",
+      "ко п",
+      "н аÑħ",
+      "на Ñħ",
+      "ا سÙĩ",
+      "اس Ùĩ",
+      "à¸ĵ à¸ij",
+      "Ġk há",
+      "Ġkh á",
+      "Ġy arat",
+      "Ġya rat",
+      "Ġyar at",
+      "ĠاÛĮÙĨ Ú©Ùĩ",
+      "Ø· بÙĬ",
+      "طب ÙĬ",
+      "Ġs ır",
+      "Ġsı r",
+      "ĠØ¢ÙħرÛĮÚ© ا",
+      "Ġ बल",
+      "Ġब ल",
+      "k aç",
+      "ka ç",
+      "Ġ åı¯",
+      "Ġåı ¯",
+      "Ġ åħ¶",
+      "Ġåħ ¶",
+      ". ***",
+      ".* **",
+      "л ÑĸннÑı",
+      "лÑĸн нÑı",
+      "ä¹ ±",
+      "o q",
+      "æ ¦",
+      "ãĤ ¼",
+      "Ġf ır",
+      "Ġk ê",
+      "Ġìłľ ê³µ",
+      "Ġ Ïĥη",
+      "ĠÏĥ η",
+      "а нÑĭ",
+      "ан Ñĭ",
+      "н ова",
+      "но ва",
+      "нов а",
+      "à¸Ĭ าย",
+      "ĠØ· ÙĪÙĦ",
+      "à¥Ī य",
+      "Ġ ì¹ľ",
+      "Ġì¹ ľ",
+      "ìĤ ´",
+      "Ġп Ñĸв",
+      "Ġlu áºŃn",
+      "Ġà¤ī म",
+      "åº ĥ",
+      "à¹ĩ à¸Ńà¸ķ",
+      "Ġس اÛĮت",
+      "л Ñıн",
+      "лÑı н",
+      "ĠíķĦ ìļĶ",
+      "Ġgör ül",
+      "ĠÑĤеÑĢ иÑĤоÑĢ",
+      "ĠÙĨ ØŃ",
+      "е ма",
+      "ем а",
+      "Ġmn oh",
+      "Ġ ãģ¯",
+      "غ ÙĬر",
+      "ĠÑģдел аÑĤÑĮ",
+      "ç ģµ",
+      "çģ µ",
+      "Ġ ÐłÐ°Ð·",
+      "ĠÐł аз",
+      "ĠÐłÐ° з",
+      "Ġг еÑĢ",
+      "Ġге ÑĢ",
+      "γ μα",
+      "íķĺ ë©´",
+      "ĠdeÄŁ iÅŁtir",
+      "ĠdeÄŁiÅŁ tir",
+      "ãĥ³ ãĥĨ",
+      "ãĥ³ãĥ Ĩ",
+      "å¸Ĥ åľº",
+      "个 人",
+      "ìĥ Ī",
+      "ì¹ ¨",
+      "èī º",
+      "ÙĤ ت",
+      "ĠÚ¯ رÙģتÙĩ",
+      "ĠگرÙģ تÙĩ",
+      "Ġگر ÙģتÙĩ",
+      "ĠگرÙģت Ùĩ",
+      "Ġ çİĭ",
+      "Ġçİ ĭ",
+      "ĠاÙĦ Ø°Ùĩ",
+      "ĠاÙĦØ° Ùĩ",
+      "λ Ïħ",
+      "à¤ľ र",
+      "Ġв ним",
+      "ë¦ Ń",
+      "ิ à¸Ĺ",
+      "Ġ شاÙĩ",
+      "ĠØ´ اÙĩ",
+      "æĬķ èµĦ",
+      "æĿIJ æĸĻ",
+      "ĠÙĨ Ùģ",
+      "èª ¬",
+      "æĬ Ĺ",
+      "Ġ аб",
+      "Ġа б",
+      "iy eti",
+      "iye ti",
+      "iyet i",
+      "ç¾ ħ",
+      "ÑĢ Ñĸз",
+      "ÑĢÑĸ з",
+      "Ġ สม",
+      "Ġส ม",
+      "i cÃŃ",
+      "ic ÃŃ",
+      "к ÑĥваннÑı",
+      "кÑĥ ваннÑı",
+      "Ġ ìķ¼",
+      "Ġìķ ¼",
+      "Ġ è½",
+      "Ġè ½",
+      "âĢ «",
+      "Ġ διά",
+      "Ġδ ιά",
+      "Ġδι ά",
+      "Ġд еп",
+      "Ġде п",
+      "ãĥ¼ ãĤ¿",
+      "ãĥ¼ãĤ ¿",
+      "Ġob jev",
+      "Ġobj ev",
+      "mé na",
+      "Ġbe lg",
+      "Ġbel g",
+      "Ġ æ¥",
+      "Ġæ ¥",
+      "Ġn á»ģn",
+      "Ġг ол",
+      "Ġpost av",
+      "Ġpo stav",
+      "Ġت Ú©",
+      "Ð «",
+      "ĠпÑĸд ÑĤ",
+      "ĠоÑĤ ноÑĪ",
+      "Ġп ÑĢив",
+      "ĠпÑĢ ив",
+      "ĠпÑĢи в",
+      "Ġ åŁº",
+      "ĠåŁ º",
+      "Ġн али",
+      "Ġна ли",
+      "Ġнал и",
+      "ů ž",
+      "Ġ yat",
+      "Ġy at",
+      "Ġya t",
+      "ÅŁ a",
+      "ÏĦ ήÏĤ",
+      "ÏĦή ÏĤ",
+      "ÑĨ ем",
+      "ÑĨе м",
+      "次 æķ°",
+      "Ġb Ãł",
+      "ÙĪ Ùĥ",
+      "Ġ íĶĦë¡ľ",
+      "ĠíĶĦ ë¡ľ",
+      "ĠPh áp",
+      "Ġ êµ°",
+      "Ġêµ °",
+      "è³ ŀ",
+      "Ġoch ran",
+      "Ġgere kir",
+      "Ġgerek ir",
+      "Ġ íļ",
+      "Ġí ļ",
+      "à¸ļ ล",
+      "á me",
+      "ám e",
+      "Ġ بÛĮر",
+      "Ġب ÛĮر",
+      "ĠبÛĮ ر",
+      "à¸Ĥ าย",
+      "ов аний",
+      "ова ний",
+      "овани й",
+      "ован ий",
+      "Ġmož né",
+      "âĶģâĶģâĶģâĶģ âĶģâĶģâĶģâĶģ",
+      "á lu",
+      "ál u",
+      "н ÑĤ",
+      "¦ æĥħ",
+      "à¹ģ รม",
+      "ĠÑĦ Ñĸн",
+      "ĠÄ° ç",
+      "à¹Ī à¸Ńย",
+      "à¹Īà¸Ń ย",
+      "ê² ¨",
+      "Ġh edef",
+      "Ġhe def",
+      "Ġhed ef",
+      "ĠاÙĦ ÙħØ´",
+      "ĠاÙĦÙħ Ø´",
+      "à¹ī าม",
+      "à¹īา ม",
+      "å¯ Ħ",
+      "Ġ ëĭµ",
+      "Ġëĭ µ",
+      "Ġ ô",
+      "ĠÃ ´",
+      "ла ÑģÑı",
+      "лаÑģ Ñı",
+      "Ä° T",
+      "à¸Ķ ำ",
+      "Ġher hangi",
+      "Ġger eken",
+      "Ġgere ken",
+      "Ġgerek en",
+      "е ÑĢеж",
+      "еÑĢ еж",
+      "еÑĢе ж",
+      "ÙĪ Ø©",
+      "ĠpÅĻ est",
+      "ĠpÅĻes t",
+      "ĠpÅĻe st",
+      "ç§ij åѦ",
+      "оÑģÑĤ аÑĤ",
+      "ün den",
+      "ünd en",
+      "ünde n",
+      "åĮħ æĭ¬",
+      "Ġد Ùĩد",
+      "ĠدÙĩ د",
+      "ÑĪ иÑģÑĮ",
+      "ÑĪи ÑģÑĮ",
+      "н еÑĢ",
+      "не ÑĢ",
+      "Ñĸ дом",
+      "Ñĸд ом",
+      "Ġb iç",
+      "Ġbi ç",
+      "ìĭ Ń",
+      "Ġhod not",
+      "Ġze mÄĽ",
+      "Ġzem ÄĽ",
+      "ĠاÛĮ جاد",
+      "Ġy ine",
+      "Ġyi ne",
+      "ि ण",
+      "िठ£",
+      "ĠاÙĦ بÙĦ",
+      "ĠاÙĦب ÙĦ",
+      "ĠN ÄĽ",
+      "Ġpol ož",
+      "Ġpo lož",
+      "Ġpolo ž",
+      "éĺħ 读",
+      "å¸ ģ",
+      "å¼ Ł",
+      "ξ ε",
+      "Ġ Má»Ļt",
+      "ĠM á»Ļt",
+      "ç £",
+      "Û±Û³ Û¹",
+      "ĠØ¢ ز",
+      "ãģ ŀ",
+      "Ġм еÑħ",
+      "ย ม",
+      "Ġ æ¨",
+      "Ġæ ¨",
+      "Ġo tur",
+      "Ġot ur",
+      "Ġd ầu",
+      "Ġ ëĭ¤ìļ´",
+      "Ġëĭ¤ ìļ´",
+      "çĮ «",
+      "Ġ Có",
+      "ĠC ó",
+      "Ġli dÃŃ",
+      "Ġlid ÃŃ",
+      "Ġark adaÅŁ",
+      "Ġα λλά",
+      "é¡ »",
+      "ĠÙĩ ÙħÛĮÙĨ",
+      "ĠÙĩÙħ ÛĮÙĨ",
+      "è» ¢",
+      "Ġ âĹĭ",
+      "ĠâĹ ĭ",
+      "ëıĦ ë¡Ŀ",
+      "Â ĥ",
+      "âĢĮØ´ دÙĩ",
+      "âĢĮشد Ùĩ",
+      "ĠØŃ ÙĬØ«",
+      "ĠØŃÙĬ Ø«",
+      "Ġnh óm",
+      "Ïĥ Ïĩ",
+      "ĠÑĤÑĢан Ñģп",
+      "ĠÑĤÑĢанÑģ п",
+      "Ġtan ım",
+      "Ġtanı m",
+      "ç´ į",
+      "Ġba his",
+      "Ġbah is",
+      "ä¸ ¾",
+      "Ġин ÑĦоÑĢма",
+      "ĠинÑĦоÑĢм а",
+      "ĠÑģ лож",
+      "ĠÑģл ож",
+      "ĠÑģло ж",
+      "Ġk raj",
+      "Ġkr aj",
+      "Ġkra j",
+      "Ġ ØŃÙĦ",
+      "ĠØŃ ÙĦ",
+      "Ġ ãĥĸ",
+      "Ġãĥ ĸ",
+      "ĠÙĨ ÙĤÙĦ",
+      "ĠÙĨÙĤ ÙĦ",
+      "Ġ ÐłÐ¾Ð·",
+      "ĠÐł оз",
+      "ĠÎij Ïħ",
+      "lar dı",
+      "ĠÙ¾ اس",
+      "Ġپا س",
+      "Ġ ìĭĿ",
+      "Ġìĭ Ŀ",
+      "ĠìłĦìļ© ë©´ìłģ",
+      "ĠاÙĦ سÙĬ",
+      "ĠاÙĦس ÙĬ",
+      "با شد",
+      "باش د",
+      "ศ าสà¸ķร",
+      "Ġk öy",
+      "Ġkö y",
+      "Ġ rok",
+      "Ġr ok",
+      "Ġro k",
+      "Ġ 죽",
+      "Ġì £½",
+      "Ġì£ ½",
+      "ĠÑģ ог",
+      "ĠÑģо г",
+      "Ġch ú",
+      "éĺ ª",
+      "ĠÄįást i",
+      "ĠÄįá sti",
+      "Ġз веÑĢ",
+      "Ġзв еÑĢ",
+      "Ġ низ",
+      "Ġн из",
+      "Ġни з",
+      "ĠÃ¶ÄŁ ret",
+      "Ġ ãĥİ",
+      "Ġãĥ İ",
+      "п е",
+      "çĴ °",
+      "Ġ èª",
+      "Ġè ª",
+      "ÙĪ ÙĦÙĩ",
+      "ÙĪÙĦ Ùĩ",
+      "Ä° M",
+      "/ REC",
+      "/R EC",
+      "å¡ ŀ",
+      "ĠÐĴ и",
+      "/l oose",
+      "/lo ose",
+      "Ġп оÑħ",
+      "Ġпо Ñħ",
+      "Ġgen iÅŁ",
+      "Ġth iá»ĩn",
+      "Ġthi á»ĩn",
+      "ti ÄŁi",
+      "Ñĩ ие",
+      "Ñĩи е",
+      "о нд",
+      "он д",
+      "Ġп ÑĢиÑģ",
+      "ĠпÑĢ иÑģ",
+      "ĠпÑĢи Ñģ",
+      "áz ky",
+      "ĠDev let",
+      "ç¦ ģ",
+      "Ġ аг",
+      "Ġа г",
+      "i lere",
+      "il ere",
+      "ile re",
+      "iler e",
+      "ин кÑĥ",
+      "Ġvar dı",
+      "ãĢĢ ãĢĢãĢĢĠãĢĢ",
+      "ãĢĢãĢĢ ãĢĢĠãĢĢ",
+      "ãĢĢãĢĢãĢĢ ĠãĢĢ",
+      "Ġë ĨĴ",
+      "ĠëĨ Ĵ",
+      "à¤Ĥ पन",
+      "à¤Ĥप न",
+      "Ġözel lik",
+      "éļ ľ",
+      "ìĸ´ ìĦľ",
+      "ر ÙĬÙĥ",
+      "رÙĬ Ùĥ",
+      "ÙĪ بÛĮ",
+      "ÙĪب ÛĮ",
+      "ãĥ³ ãĥĢ",
+      "ãĥ³ãĥ Ģ",
+      "í Į¨",
+      "íĮ ¨",
+      "Ġसम à¤Ŀ",
+      "ï¾Ĩï¾Ĩ ï¾Ĩï¾Ĩ",
+      "Ġ ÙģÙĨ",
+      "ĠÙģ ÙĨ",
+      "ॠĿ",
+      "Ġuv eden",
+      "ÑĪ ими",
+      "ÑĪи ми",
+      "ÑĪим и",
+      "Ġ à¹Ģล",
+      "Ġà¹Ģ ล",
+      "Ġà¹Ģภ¥",
+      "Ġ 문ìĿĺ",
+      "Ġ문 ìĿĺ",
+      "ĠØŃ Ø±Ùģ",
+      "ĠØŃر Ùģ",
+      "Ġ عب",
+      "Ġع ب",
+      "ãĥ¬ ãĥĵ",
+      "Ġ æŃ£",
+      "ĠæŃ £",
+      "ĠëĺIJ ëĬĶ",
+      "ĠÚ©ÙĨ ÙĨدÙĩ",
+      "ĠÚ©ÙĨÙĨد Ùĩ",
+      "Ġα ÏħÏĦÏĮ",
+      "ĠαÏħ ÏĦÏĮ",
+      "Ġ 길",
+      "Ġê¸ ¸",
+      "Ġif ade",
+      "Ġi fade",
+      "Ġifad e",
+      "Ġyap mak",
+      "ãĥķ ãĤ©",
+      "ãĥķãĤ ©",
+      "Ġm ẹ",
+      "Ġst rán",
+      "Ġstr án",
+      "Ġs vou",
+      "Ġsv ou",
+      "Ġsvo u",
+      "Ġv ždy",
+      "Ġtek rar",
+      "ิ à¸į",
+      "Ġ ìĵ°",
+      "Ġì ĵ°",
+      "Ġìĵ °",
+      "o ÄŁu",
+      "oÄŁ u",
+      "Ġ Ú©ÛĮÙĦ",
+      "ĠÚ© ÛĮÙĦ",
+      "ĠÚ©ÛĮ ÙĦ",
+      "и вÑģÑı",
+      "ив ÑģÑı",
+      "Ġë§IJ íĸĪëĭ¤",
+      "ä¸ Ŀ",
+      "à¤ı स",
+      "ĠÑģÑĤ ÑĢаÑħ",
+      "ĠÑģÑĤÑĢ аÑħ",
+      "ĠÑģÑĤÑĢа Ñħ",
+      "Ġsou Äįas",
+      "Ġê·¸ 룰",
+      "Ġ mÃ¼ÅŁ",
+      "Ġm Ã¼ÅŁ",
+      "Ġmü ÅŁ",
+      "λ οÏį",
+      "λο Ïį",
+      "γ Ïī",
+      "Ġt Æ°á»Łng",
+      "Ġ å·¥",
+      "Ġå· ¥",
+      "Ġ اسÙħ",
+      "Ġا سÙħ",
+      "Ġاس Ùħ",
+      "ÑĢ Ñĸм",
+      "ÑĢÑĸ м",
+      "à¹Ģ à¸Ľà¸¥",
+      "à¹Ģà¸Ľ ล",
+      "Ġ³³ Ġ³³",
+      "Ùĩ اÛĮÛĮ",
+      "ÙĩاÛĮ ÛĮ",
+      "å¯ º",
+      "Ġس رÛĮ",
+      "Ġسر ÛĮ",
+      "Ġк ваÑĢ",
+      "Ġкв аÑĢ",
+      "ĠØ´Ùħ ارÙĩ",
+      "ĠØ´Ùħا رÙĩ",
+      "Ġ صØŃ",
+      "Ġص ØŃ",
+      "о ÑģÑĤав",
+      "оÑģÑĤ ав",
+      "ॠ¨",
+      "Ġ à¸Ħวาม",
+      "Ġà¸Ħ วาม",
+      "í ĥģ",
+      "íĥ ģ",
+      "éĢ Ĥ",
+      "ب ØŃ",
+      "ĠdeÄŁiÅŁ ik",
+      "éĮ ²",
+      "е ди",
+      "ед и",
+      "Ġ okol",
+      "Ġo kol",
+      "Ġok ol",
+      "ĠÑģ оп",
+      "ĠÑģо п",
+      "Ġol mayan",
+      "Ġolm ayan",
+      "Ġolma yan",
+      "çŃ ij",
+      "Û± Û´",
+      "Û±Û ´",
+      "Ġ inclu",
+      "Ġinc lu",
+      "Ġincl u",
+      "Ġ ê²ĮìŀĦ",
+      "Ġê²Į ìŀĦ",
+      "ÛĮ ستÙħ",
+      "ÛĮست Ùħ",
+      "ÛĮس تÙħ",
+      "Ġ ç©",
+      "Ġç ©",
+      "ĠاÙĦÙĪÙĦ اÙĬات",
+      "il mektedir",
+      "ilm ektedir",
+      "Ã Į",
+      "Ùİ Ø¹",
+      "ĠaÄŁ ır",
+      "è¡ Ľ",
+      "Ġe ski",
+      "Ġes ki",
+      "Ġesk i",
+      "ê° Ŀ",
+      "본 ëĭ¤",
+      "人 åijĺ",
+      "Úĺ ÛĮ",
+      "Ġ ç¨",
+      "Ġç ¨",
+      "Ġм еÑģÑĤо",
+      "ĠмеÑģÑĤ о",
+      "v ů",
+      "à¥įर ह",
+      "ĠØ· رØŃ",
+      "Ġطر ØŃ",
+      "Ġا بÙĨ",
+      "Ġاب ÙĨ",
+      "Ġh iss",
+      "Ġhis s",
+      "Ġhi ss",
+      "о ÑĢÑıд",
+      "оÑĢ Ñıд",
+      "Ġد Ùģ",
+      "ÑĢ иÑģÑĤ",
+      "ÑĢи ÑģÑĤ",
+      "ÑĢиÑģ ÑĤ",
+      "à¸Ĭ ม",
+      "д еÑĤ",
+      "де ÑĤ",
+      "à¹Ģ หม",
+      "à¹Ģห ม",
+      "ë§Ī ìĤ¬ì§Ģ",
+      ": .:.:",
+      ":. :.:",
+      ":.: .:",
+      "éħ ¸",
+      "Ġα ÏģÏĩ",
+      "ĠαÏģ Ïĩ",
+      "Ġn ữ",
+      "ĠпоÑģ ад",
+      "l um",
+      "lu m",
+      "ì º",
+      "ãģ§ãģį ãĤĭ",
+      "ìĸ µ",
+      "ĠاÙĦ Ùħد",
+      "ĠاÙĦÙħ د",
+      "н Ñĸм",
+      "нÑĸ м",
+      "ر اÙĤ",
+      "را ÙĤ",
+      "Ġ ãĥĪ",
+      "Ġãĥ Ī",
+      "Ġod povÄĽ",
+      "Ġodp ovÄĽ",
+      "Ġbir bir",
+      "Ġh ãy",
+      "Ġhã y",
+      "о вий",
+      "ов ий",
+      "ови й",
+      "æ® ĭ",
+      "éĥ½ æĺ¯",
+      "è¿ ª",
+      "Ġa raç",
+      "Ġar aç",
+      "Ġara ç",
+      "ен ÑĤÑĸв",
+      "енÑĤ Ñĸв",
+      "æĬ ±",
+      "d ál",
+      "ĠÄIJ ông",
+      "Ġhe sap",
+      "Ġhes ap",
+      "Ġا ÙĨساÙĨ",
+      "ĠاÙĨ ساÙĨ",
+      "ĠÙĬ ÙĪÙħ",
+      "ĠÙĬÙĪ Ùħ",
+      "ĠÙĨ ÙĪر",
+      "ĠÙĨÙĪ ر",
+      "åī ĩ",
+      "çĹ Ľ",
+      "Ġ ÙĨÙĬ",
+      "ĠÙĨ ÙĬ",
+      "алÑĮ на",
+      "تب اط",
+      "ल ब",
+      "Ġkom un",
+      "Ġko mun",
+      "Ġs nad",
+      "Ġsn ad",
+      "Ġsna d",
+      "åĽ £",
+      "ر ÙĬد",
+      "رÙĬ د",
+      "elop ment",
+      "Ġ иÑİ",
+      "Ġи Ñİ",
+      "à¥Ģ .",
+      "Ġkıs a",
+      "Ġkı sa",
+      "ĠdeÄŁil dir",
+      "ĠdeÄŁildi r",
+      "à¹ī าร",
+      "à¹īา ร",
+      "Ġsv ého",
+      "Ġsvé ho",
+      "Ġobl asti",
+      "Ġoblast i",
+      "ÑĪ ли",
+      "à¹Ģà¸Ĺ à¸ŀ",
+      "ÑĢ еÑĤÑĮ",
+      "ÑĢе ÑĤÑĮ",
+      "ÑĢеÑĤ ÑĮ",
+      "о во",
+      "ов о",
+      "Ġ íĤ¤",
+      "Ġí Ĥ¤",
+      "ĠíĤ ¤",
+      "át ky",
+      "ĠاÙĦ Ùģر",
+      "ĠاÙĦÙģ ر",
+      "èĺ Ń",
+      "ÏĦ ον",
+      "ÏĦο ν",
+      "ĠÑģÑĤ оиÑĤ",
+      "ĠÑģÑĤо иÑĤ",
+      "Ùħ ØŃ",
+      "Ġ à¹Ħ",
+      "Ġà ¹Ħ",
+      "ĠÑĤе бе",
+      "ĠÑĤеб е",
+      "íģ ´",
+      "Ġm ÄĽla",
+      "ĠmÄĽ la",
+      "ĠmÄĽl a",
+      "æݧ åĪ¶",
+      "ĠCh ủ",
+      "ìĬ ¨",
+      "ÐIJ Т",
+      "ا جع",
+      "اج ع",
+      "ìĻ ķ",
+      "ç© ¿",
+      "ол ее",
+      "ห ลาย",
+      "หล าย",
+      "Ġd vou",
+      "Ġdv ou",
+      "Ġ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "ุ à¸Ĥ",
+      "Ġb oz",
+      "Ġbo z",
+      "ิ à¸Ļà¸Ħ",
+      "ิà¸Ļ à¸Ħ",
+      "å¤ Ł",
+      "Ġfa aliyet",
+      "ĠÄį ÃŃs",
+      "ãģ» ãģ©",
+      "Ġ :/",
+      "Ġ: /",
+      "к ÑĸÑģÑĤÑĮ",
+      "кÑĸ ÑģÑĤÑĮ",
+      "Ġ ì¤Ģ",
+      "Ġì¤ Ģ",
+      "Ïģ αÏĤ",
+      "Ïģα ÏĤ",
+      "Ġод но",
+      "æ ¢ħ",
+      "æ¢ ħ",
+      "Ñĥб ли",
+      "н оз",
+      "но з",
+      "à¹Į ม",
+      "Ġvý rob",
+      "Ġvýro b",
+      "Ġ κÏħ",
+      "Ġκ Ïħ",
+      "ÅĻ ev",
+      "ÅĻe v",
+      "Âł B",
+      "ů že",
+      "ůž e",
+      "ä¼ļ 社",
+      "ι β",
+      "ÑĢ ованиÑı",
+      "ÑĢов аниÑı",
+      "ÑĢо ваниÑı",
+      "ÑĢован иÑı",
+      "ÑĢова ниÑı",
+      "Ġc ev",
+      "Ġce v",
+      "ìĽ Ģ",
+      "ál nÃŃch",
+      "áln ÃŃch",
+      "álnÃŃ ch",
+      "Ġ ÑĢав",
+      "ĠÑĢ ав",
+      "ĠÑĢаР²",
+      "ĠÑĢа в",
+      "ç´ §",
+      "åĢ Ł",
+      "Ġ ÑŁ",
+      "ĠÑ Ł",
+      "ÙĪ ÙĨÙĬ",
+      "ÙĪÙĨ ÙĬ",
+      "о зÑı",
+      "оз Ñı",
+      "Ġз ов",
+      "Ġk olem",
+      "Ġko lem",
+      "Ġkol em",
+      "Ġkole m",
+      "민 êµŃ",
+      "ç¿ Ĵ",
+      "Ġzam ÄĽst",
+      "Ġ ìłij",
+      "Ġìł ij",
+      "Ġ زÙĨ",
+      "Ġز ÙĨ",
+      "ĠØ£ Ùģ",
+      "Ġ 먹",
+      "Ġë¨ ¹",
+      "Ġtom to",
+      "Ġ 첨ë¶Ģ",
+      "Ġì² ¨ë¶Ģ",
+      "s age",
+      "sa ge",
+      "ä¸į è¿ĩ",
+      "е год",
+      "ег од",
+      "его д",
+      "ÑĢ ож",
+      "ÑĢо ж",
+      "ĠпÑĢоÑĨ ед",
+      "à¹Į à¸Ļ",
+      "san ız",
+      "âĢŀ Ø·",
+      "æ´» åĬ¨",
+      "о Ñĩки",
+      "оÑĩ ки",
+      "보 기",
+      "åŁº æľ¬",
+      "- Ñħ",
+      "ло ÑģÑı",
+      "ĠÙĩÛĮ ÚĨ",
+      "ìĹ Ķ",
+      "Ñĩ ного",
+      "Ñĩно го",
+      "Ġ à¤Ĺर",
+      "Ġà¤Ĺ र",
+      "Ġà¤ħ à¤Ĺ",
+      "ãħĭãħĭ ãħĭãħĭ",
+      "Ġ ãĤ¸",
+      "ĠãĤ ¸",
+      "ا سة",
+      "اس ة",
+      "åĬ ĩ",
+      "à¹ī à¸ĩ",
+      "Ġ 커",
+      "Ġì» ¤",
+      "n ými",
+      "ný mi",
+      "ným i",
+      "ãĥ¬ ãĤ¹",
+      "åĭ Ĵ",
+      "Ġобла ÑģÑĤÑĸ",
+      "ĠоблаÑģ ÑĤÑĸ",
+      "ĠоблаÑģÑĤ Ñĸ",
+      "ĠдÑĸÑıлÑĮ ноÑģÑĤÑĸ",
+      "ãĥ¬ ãĤ¤",
+      "Ïĩ αν",
+      "Ïĩα ν",
+      "à¹Ī าส",
+      "à¹Īา ส",
+      "ĠФ ÑĢан",
+      "Ùĩ ÙĦ",
+      "l ardır",
+      "lar dır",
+      "lardı r",
+      "ØŃ Ø§Øª",
+      "ů st",
+      "Ġв одÑĭ",
+      "Ġво дÑĭ",
+      "Ġвод Ñĭ",
+      "ĠدÙĪ ÙĦت",
+      "ĠدÙĪÙĦ ت",
+      "ĠÑģпе ÑĨÑĸ",
+      "Ġth ất",
+      "à¸Ń าหาร",
+      "éł ĺ",
+      "Ġter cih",
+      "ĠÏĢÏģο Ïĥ",
+      "Ġ ÅĻÃŃzenÃŃ",
+      "ĠÅĻÃŃ zenÃŃ",
+      "è§ī å¾Ĺ",
+      "Ġd nes",
+      "Ġdn es",
+      "Ġdne s",
+      "е Ñĩно",
+      "еÑĩ но",
+      "ãĥ ĺ",
+      "Ġدار اÛĮ",
+      "ĠÅŁ art",
+      "ĠÅŁar t",
+      "ë² ¤",
+      "Ġ ë¶ģ",
+      "Ġë ¶ģ",
+      "Ġë¶ ģ",
+      "е Ñı",
+      "н ÑıÑĤÑĮ",
+      "нÑı ÑĤÑĮ",
+      "нÑıÑĤ ÑĮ",
+      "Ġk vÄĽt",
+      "Ġkv ÄĽt",
+      "Ġتغ ÛĮÛĮر",
+      "é¾ į",
+      "Ġر ÙĨÚ¯",
+      "ï¼Į åı¯",
+      "Ġp iyas",
+      "Ġpi yas",
+      "Ġuyg ulan",
+      "Ġuygu lan",
+      "Ùİ Ø©",
+      "ب ÙĬر",
+      "بÙĬ ر",
+      "и ваÑĤÑĮ",
+      "ив аÑĤÑĮ",
+      "ива ÑĤÑĮ",
+      "Ġ íĹĪ",
+      "ĠíĹ Ī",
+      "ä¸ ¶",
+      "è¿Ļ äºĽ",
+      "Ġ گر",
+      "ĠÚ¯ ر",
+      "ç½ ª",
+      "ä¸Ģ æł·",
+      "Ġ ãĥª",
+      "Ġãĥ ª",
+      "Ġв ой",
+      "Ġво й",
+      "Ġs osyal",
+      "Ġsos yal",
+      "ุ à¸Ĺà¸ĺ",
+      "ุà¸Ĺ à¸ĺ",
+      "หม à¸Ķ",
+      "ç» Ŀ",
+      "ĠاÙĦ جÙħ",
+      "ĠاÙĦج Ùħ",
+      "ĠØ« بت",
+      "Ġج ÙĨÚ¯",
+      "ĠجÙĨ Ú¯",
+      "л ении",
+      "лен ии",
+      "ле нии",
+      "в аÑı",
+      "ва Ñı",
+      "Ġв оÑĤ",
+      "Ġво ÑĤ",
+      "ä¼ ¤",
+      "Ġ หล",
+      "Ġห ล",
+      "ĠÙħÙĤ اÙĦÙĩ",
+      "мÑĸ нÑĸ",
+      "мÑĸн Ñĸ",
+      "ìĺ ¬",
+      "Ñĩ ий",
+      "Ñĩи й",
+      "ĠÙħ Ú©",
+      "à¹Ĥ à¸Ľà¸£",
+      "à¹Ĥà¸Ľ ร",
+      "k rv",
+      "kr v",
+      "Ġ ÃŃch",
+      "ĠÃŃ ch",
+      "Ïī Ïĥη",
+      "ек ÑĤоÑĢ",
+      "екÑĤ оÑĢ",
+      "Я к",
+      "Ġp ÃŃs",
+      "ĠÃĸ zel",
+      "ĠÃĸz el",
+      "Ġt Æ°á»Ľng",
+      "Ġ ÐĶо",
+      "ĠÐĶ о",
+      "δ ιο",
+      "δι ο",
+      "ู à¸Ķ",
+      "Ġt ük",
+      "رÛĮ ÙĤ",
+      ". ÐĴ",
+      "Ġ åIJĪ",
+      "ĠåIJ Ī",
+      "ä¿ Ĥ",
+      "Ġob dob",
+      "Ġist edi",
+      "ÑĪ ла",
+      "æľī ä¸Ģ",
+      "Ġвк лÑİÑĩа",
+      "ĠвклÑİÑĩ а",
+      "ĠتØŃ ÙĤÛĮÙĤ",
+      "Ġ ÙĪÙĥ",
+      "ĠÙĪ Ùĥ",
+      "Ġ èĪ",
+      "Ġè Ī",
+      "Æ Ĵ",
+      "μ εÏģ",
+      "με Ïģ",
+      "Ġ åģ",
+      "Ġå ģ",
+      "Ġ ìĹĨëĬĶ",
+      "ĠìĹĨ ëĬĶ",
+      "Âł d",
+      "ĠB ắc",
+      "à¸ģล าà¸ĩ",
+      "ĠÑĩ Ñĥв",
+      "Ġc ấu",
+      "ĠH á»ĵ",
+      "ĠHá» ĵ",
+      "ĠÙģ اÛĮÙĦ",
+      "ÏĦη γοÏģ",
+      "ç± į",
+      "Ġ بت",
+      "Ġب ت",
+      "ĠобÑĢаз ом",
+      "æ± ī",
+      "èĦ ij",
+      "Ġgi ản",
+      "Ġgiả n",
+      "ε Ïģγ",
+      "εÏģ γ",
+      "ĠÐľ Ñĸ",
+      "èĻ½ çĦ¶",
+      "Ġ Khi",
+      "ĠK hi",
+      "ĠKh i",
+      "Ñĩ ини",
+      "Ñĩи ни",
+      "Ñĩин и",
+      "Ġà¤ħ à¤Ĺर",
+      "Ġà¤ħà¤Ĺ र",
+      "íķĺ ë©°",
+      "ë² Ķ",
+      "ãģ ģ",
+      "в иÑħ",
+      "ви Ñħ",
+      "ĠвÑģ егда",
+      "Ġ ç¶",
+      "Ġç ¶",
+      "ÑģÑĤв енной",
+      "ÑģÑĤвен ной",
+      "ÑģÑĤвенно й",
+      "Ġyük sel",
+      "æ¸ ¬",
+      "Ġsı ras",
+      "Ġsır as",
+      "Ġsıra s",
+      "ĠÏĢ ÏģÏİ",
+      "èĢ ³",
+      "ا ÛĮر",
+      "اÛĮ ر",
+      "د ÙĪد",
+      "دÙĪ د",
+      "ĠAl man",
+      "ĠAlma n",
+      "Ġver di",
+      "Ġverd i",
+      "ĠاÙĦ Ùħج",
+      "ĠاÙĦÙħ ج",
+      "ĠاÙĦ تع",
+      "ĠاÙĦت ع",
+      "ص ة",
+      "Ġsı ra",
+      "Ġsır a",
+      "Äį in",
+      "Äįi n",
+      "Ġп еÑĢÑĪ",
+      "ĠпеÑĢ ÑĪ",
+      "æĬ ĺ",
+      "ç© į",
+      "ĠÑĤ об",
+      "ĠÑĤо б",
+      "Ġ ï¾ī",
+      "Ġï¾ ī",
+      "ภ¬",
+      "æĿ Ģ",
+      "iy di",
+      "ี à¸ŀ",
+      "çĵ ¦",
+      "ĠавÑĤом об",
+      "ä¸Ń æĸĩ",
+      "à¥Ĥ द",
+      "ĠbÄĽ hem",
+      "Ġ PÅĻed",
+      "ĠP ÅĻed",
+      "ĠPÅĻ ed",
+      "ãģĵ ãģĨ",
+      "ั à¸Ī",
+      "Ġ ï½Į",
+      "Ġï½ Į",
+      "Ġ ÙĩاÙĬ",
+      "ĠÙĩ اÙĬ",
+      "ĠÙĩا ÙĬ",
+      "Ġs ạch",
+      "æĸ¹ éĿ¢",
+      "çķ °",
+      "ÑĥÑĢ н",
+      "Ġvý sled",
+      "Ġth ần",
+      "ï¼Į æīĢ以",
+      "Ñĥ ка",
+      "Ñĥк а",
+      "íķĺ ëĭ¤",
+      "Ġ बर",
+      "Ġब र",
+      "Ġж Ñĸн",
+      "Äį nÃŃho",
+      "ÄįnÃŃ ho",
+      "Ġ ãģĮ",
+      "ab ı",
+      "v ánÃŃ",
+      "vá nÃŃ",
+      "æ´ Ĺ",
+      "Ġи ÑģÑĤоÑĢ",
+      "ĠиÑģ ÑĤоÑĢ",
+      "ĠиÑģÑĤ оÑĢ",
+      "ìĿ´ íĦ°",
+      "Ġе лек",
+      "а лаÑģÑı",
+      "ала ÑģÑı",
+      "Ġ znám",
+      "Ġz nám",
+      "Ġzn ám",
+      "ĠØ· رÙģ",
+      "Ġطر Ùģ",
+      "Ġs ektör",
+      "ê¹ Ģ",
+      "ÙĪ ÙĤع",
+      "ÙĪÙĤ ع",
+      "ĠÙħ Ùĥ",
+      "ÑĢе жд",
+      "ÑĢеж д",
+      "Ġk nih",
+      "Ġkn ih",
+      "Ġت عداد",
+      "Ġتع داد",
+      "Ġتعد اد",
+      "åį ł",
+      "ÑģÑĮ ке",
+      "ÑģÑĮк е",
+      "Ġ çĶµ",
+      "京 éĥ½",
+      "Ġر اÛĮ",
+      "Ġرا ÛĮ",
+      "g ın",
+      "gı n",
+      "ĠÙĨ ظاÙħ",
+      "ĠÙĨظ اÙħ",
+      "ĠÎł ολ",
+      "ĠÎłÎ¿ λ",
+      "ä¸Ģ èĪ¬",
+      "Ġst ále",
+      "Ġstál e",
+      "ĠиÑģ Ñģлед",
+      "Ġz práv",
+      "Ġzp ráv",
+      "Ġ ÑĩиÑģÑĤ",
+      "ĠÑĩ иÑģÑĤ",
+      "ĠÑĩиÑģ ÑĤ",
+      "ĠÑĩи ÑģÑĤ",
+      "ãĥ¼ ãĥŀ",
+      "ãĥ¼ãĥ ŀ",
+      "Ðŀ Ñģ",
+      "ÑģÑĮ комÑĥ",
+      "ÑģÑĮк омÑĥ",
+      "ÑģÑĮко мÑĥ",
+      "ĠpÅĻi prav",
+      "ĠpÅĻip rav",
+      "ëĮĢ íĸī",
+      "Ġh alk",
+      "Ġha lk",
+      "Ġhal k",
+      "çĪ Ĩ",
+      "ãĢģ ãģĬ",
+      "ï¼Ł âĢĿĊĊ",
+      "ï¼ŁâĢĿ ĊĊ",
+      "éĢ ı",
+      "ç« ŀ",
+      "ни ÑĨÑĮ",
+      "ниÑĨ ÑĮ",
+      "çĽ ĺ",
+      "à¹Ģ à¸Ńà¸ĩ",
+      "à¹Ģà¸Ń à¸ĩ",
+      "ì Łģ",
+      "à¥ĩव ल",
+      "ä¹ĭ åIJİ",
+      "ãĥ« ãĥĪ",
+      "Ġ stru",
+      "Ġs tru",
+      "Ġst ru",
+      "Ġstr u",
+      "Ġ ＿",
+      "Ġï¼ ¿",
+      "Îķ ÎĽ",
+      "h le",
+      "hl e",
+      "ĠÙĨ ÙĪØ´",
+      "ĠÙĨÙĪ Ø´",
+      "ìĿ µ",
+      "ĠÙħ Ùģ",
+      "æĪĸ èĢħ",
+      "Ġö ld",
+      "Ġöl d",
+      "éĢ Ķ",
+      "ãĥ³ ãĥĹ",
+      "ãĥ³ãĥ Ĺ",
+      "íĺ ¼",
+      "Ġu ÄŁ",
+      "ĠÄij á",
+      "Ġvlast nÃŃ",
+      "ĠÙħج ÙĦس",
+      "åį Ķ",
+      "ÏĦ ικήÏĤ",
+      "ÏĦικ ήÏĤ",
+      "ÏĦική ÏĤ",
+      "Ġpo vin",
+      "Ġpov in",
+      "ů l",
+      "ĠاÙĦ ØŃÙĬ",
+      "ĠاÙĦØŃ ÙĬ",
+      "Ġsm lou",
+      "ãĥĥ ãĥģ",
+      "Ġ ÙĥÙĨ",
+      "ĠÙĥ ÙĨ",
+      "Ġch ấp",
+      "èIJ ¬",
+      "ج ب",
+      "? âĢľ",
+      "д ав",
+      "да в",
+      "ร วม",
+      "รว ม",
+      "Ùİ Ø¯",
+      "ĠاÙĦد ÙĪÙĦ",
+      "ĠëĦ¤ ìĿ´íĬ¸",
+      "Ġà¤Ĩ स",
+      "ظ ÙĬÙģ",
+      "ãĥ¼ ãĥ©",
+      "ãĥ¼ãĥ ©",
+      "ãģł ãĤįãģĨ",
+      "ĠÙĪاØŃ Ø¯",
+      "ĠÙĪا ØŃد",
+      "ر ÙĪس",
+      "رÙĪ س",
+      "Ġzákon a",
+      "ĠпеÑĢ еб",
+      "ĠпеÑĢе б",
+      "à¥Ģ -",
+      "à¹Ī à¹Ħà¸Ķ",
+      "为 äºĨ",
+      "ÎĻ ÎĿ",
+      "ĠìĽĶ ìĦ¸",
+      "ส à¸Ńà¸ĩ",
+      "Ġ æīĭ",
+      "Ġæī ĭ",
+      "Ġ ÐĴÑģе",
+      "ĠÐĴ Ñģе",
+      "ĠÐĴÑģ е",
+      "à¹Ĥ ย",
+      "Ġkal dır",
+      "Ġkaldı r",
+      "ÏĦ ÎŃÏĤ",
+      "ÏĦÎŃ ÏĤ",
+      "Ġ ï¿£",
+      "Ġ íĸĪëĭ¤",
+      "Ġíĸ Īëĭ¤",
+      "ĠíĸĪ ëĭ¤",
+      "ãĤģ ãģŁ",
+      "Ġ Äįer",
+      "ĠÄį er",
+      "ĠÄįe r",
+      "c ela",
+      "ce la",
+      "cel a",
+      "üs ü",
+      "ê³ ³",
+      "ìĹIJ ëıĦ",
+      "ز ة",
+      "ãģª ãĤĭ",
+      "ÙĪ ÛĮÙĨ",
+      "ÙĪÛĮ ÙĨ",
+      "çī Ľ",
+      "Ġ voj",
+      "Ġv oj",
+      "Ġvo j",
+      "Ġ ëĬIJ",
+      "ĠëĬ IJ",
+      "Ġ ÙĥÙħ",
+      "ĠÙĥ Ùħ",
+      "æ³ ī",
+      "з Ñı",
+      "è£ Ŀ",
+      "ĠØ¢ ÙĦ",
+      "Ġ ανά",
+      "Ġα νά",
+      "Ġαν ά",
+      "Âł ÐĴ",
+      "Ġyap ıl",
+      "Ġyapı l",
+      "æı Ľ",
+      "ĠÑģ ÑĥÑīеÑģÑĤв",
+      "ĠÑģÑĥ ÑīеÑģÑĤв",
+      "ĠÑģÑĥÑīе ÑģÑĤв",
+      "Ġn á»iji",
+      "ÙĪ ئ",
+      "ĠëĦ¤ìĿ´íĬ¸ ìĺ¨",
+      "Ġpolit ik",
+      "Å¡ ka",
+      "Å¡k a",
+      "ebilir siniz",
+      "ld kf",
+      "Ñĥб лÑĸ",
+      "Ġe oq",
+      "Ġeo q",
+      "ĠÙħØŃ ØµÙĪÙĦ",
+      "krv ldkf",
+      "Ġeoq krvldkf",
+      "Ïĥε Ïīν",
+      "بÙĦ غ",
+      "Įĵ ê¸Ģ",
+      "ĠÑģ ÑĢок",
+      "ĠU y",
+      "ĠN ÄĽk",
+      "ĠNÄĽ k",
+      "Ġ див",
+      "Ġд ив",
+      "Ġди в",
+      "ãĤµ ãĤ¤",
+      "Ġ ìĤ¬ìĿ´",
+      "ĠìĤ¬ ìĿ´",
+      "Ġ éĹ",
+      "Ġé Ĺ",
+      "Ġб аÑĤÑĮ",
+      "Ġба ÑĤÑĮ",
+      "Ġп еÑĢÑĸ",
+      "ĠпеÑĢ Ñĸ",
+      "Â ĸ",
+      "交 éĢļ",
+      "ен з",
+      "ÙĪ ست",
+      "ÙĪس ت",
+      "ีย à¸ļ",
+      "Ġ à¸Īะ",
+      "Ġà¸Ī ะ",
+      "ë¡ Ģ",
+      "üf us",
+      "Ùij ÙIJ",
+      "ç¸ ½",
+      "ัà¸Ķ ส",
+      "ê² Ģ",
+      "ĠÑĤ иÑħ",
+      "ĠÑĤи Ñħ",
+      "ĠØ¢ زÙħ",
+      "Ġآز Ùħ",
+      "Ġ اض",
+      "Ġا ض",
+      "ĠØ§Ø ¶",
+      "ì ¡´",
+      "ì¡ ´",
+      "ÙĴ ت",
+      "æĪ ¸",
+      "ĠìŀĪ ìĿĦ",
+      "Ġ çĶ·",
+      "Ñī Ñĸ",
+      "о ма",
+      "ом а",
+      "ĠاÙģز اÛĮØ´",
+      "Ġ Thông",
+      "ĠTh ông",
+      "ĠاجتÙħاع ÛĮ",
+      "е лÑİ",
+      "ел Ñİ",
+      "ĠÑħоÑĢоÑĪ о",
+      "à¸ł าษ",
+      "Ġ rám",
+      "Ġr ám",
+      "Ġrá m",
+      "å¾ ¡",
+      "ãĥ¼ ãĥĦ",
+      "ãĥ¼ãĥ Ħ",
+      "ĠL Ỽp",
+      "Ġ Ø´ÙĬ",
+      "ĠØ´ ÙĬ",
+      "Ġh iá»ĥm",
+      "Ġhi á»ĥm",
+      "θ ν",
+      "ο ÏħÏĥ",
+      "οÏħ Ïĥ",
+      "å¾ ©",
+      "Ġú zem",
+      "à¹ģ à¸ľ",
+      "å ·¨",
+      "å· ¨",
+      "à¸Ī à¸Ļ",
+      "Ú¯ راÙĨ",
+      "گر اÙĨ",
+      "Ġت ÛĮÙħ",
+      "ĠتÛĮ Ùħ",
+      "Ġ ilet",
+      "Ġi let",
+      "Ġil et",
+      "Ġile t",
+      "า à¸Ĥà¸Ńà¸ĩ",
+      "าà¸Ĥ à¸Ńà¸ĩ",
+      "Ġ تÙĪر",
+      "Ġت ÙĪر",
+      "ĠتÙĪ ر",
+      "Ġдо говоÑĢ",
+      "Ġдог овоÑĢ",
+      "Ġдогов оÑĢ",
+      "Ġt ento",
+      "Ġten to",
+      "Ġtent o",
+      "в Ñĥ",
+      "Ġз ада",
+      "Ġза да",
+      "Ġзад а",
+      "Ġstole tÃŃ",
+      "Ġstol etÃŃ",
+      "Âł Ġ",
+      "âĢĮ اÙĦ",
+      "Ë ĺ",
+      "ÅŁ iv",
+      "ÅŁi v",
+      "н ÑıÑĤи",
+      "нÑı ÑĤи",
+      "нÑıÑĤ и",
+      "ãĤī ãĤĮãģŁ",
+      "ãĤīãĤĮ ãģŁ",
+      "ĠS b",
+      "ĠاÙĦÙħ ص",
+      "ĠУкÑĢаÑĹ Ð½Ñĸ",
+      "ĠУкÑĢаÑĹн Ñĸ",
+      "ĠØ´ Ú©",
+      "iế ng",
+      "iến g",
+      "ÑĮ ÑĤе",
+      "è° ¢",
+      "ĠÙħ تÙĨ",
+      "ĠÙħت ÙĨ",
+      "Ġ ÑĢад",
+      "ĠÑĢ ад",
+      "ĠÑĢаР´",
+      "ĠÑĢа д",
+      "ĠÙħÙĪ اد",
+      "ì± Ħ",
+      "é¡ ¶",
+      "Ġbo ÅŁ",
+      "ت ÙĪر",
+      "تÙĪ ر",
+      "ĠÄij áng",
+      "ĠÄijá ng",
+      "Ġkit ap",
+      "Ġki tap",
+      "Ġkita p",
+      "Ġho din",
+      "Ġhod in",
+      "Ġtarih i",
+      "ãĤĦ ãĤĭ",
+      "Ñģ ÑĤеÑĢ",
+      "ÑģÑĤ еÑĢ",
+      "ÑģÑĤе ÑĢ",
+      "Ġ Ñħод",
+      "ĠÑħ од",
+      "в ание",
+      "ва ние",
+      "ван ие",
+      "ĠоÑģ вÑĸ",
+      "ĠÑģиÑģÑĤем Ñĭ",
+      "़ न",
+      "Ïĩ ο",
+      "Ġ åı°",
+      "Ġåı °",
+      "o ÅĻ",
+      "ç»ı æµİ",
+      "Ġ ä½ľ",
+      "Ġthu áºŃn",
+      "Ľ Ī",
+      "Ġy alnız",
+      "a let",
+      "al et",
+      "ale t",
+      "ì¦Ŀ ê¸Ī",
+      "Ġза Ñī",
+      "Ġе кÑģп",
+      "Ġек Ñģп",
+      "âĦĸ âĦĸ",
+      "Ġ ãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢ",
+      "ĠãĢĢĠ ãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ĠÚ¯ ÙĪØ´",
+      "ĠÚ¯ÙĪ Ø´",
+      "ãģ« åħ¥",
+      "Ġu dÄĽl",
+      "Ġud ÄĽl",
+      "Ġ áº",
+      "Ġá º",
+      "à¤Ĩ à¤Ī",
+      "âĢĮ دÙĩ",
+      "âĢĮد Ùĩ",
+      "æĤ ª",
+      "Ġtr ò",
+      "æļ Ĺ",
+      "λλ ην",
+      "λλη ν",
+      "ĠпÑĢи зна",
+      "ĠпÑĢиз на",
+      "Ġس ÛĮستÙħ",
+      "ĠسÛĮ ستÙħ",
+      "Ġà¤ħ त",
+      "è o",
+      "è¿ İ",
+      "Ġз Ñĥб",
+      "ĠзаÑģ об",
+      "Ġس Ùģ",
+      "ĠÙħاÙĨ ÙĨد",
+      "Ø® Ø´",
+      "v ajÃŃ",
+      "va jÃŃ",
+      "nit ÅĻ",
+      "æ¯ Ĵ",
+      "æ¤ į",
+      "Ġgir iÅŁ",
+      "ĠÄij áp",
+      "ĠÄijá p",
+      "@ n",
+      "ов аÑĢи",
+      "оваÑĢ и",
+      "ова ÑĢи",
+      "ĠØ® دا",
+      "Ġخد ا",
+      "Ġv ÄĽtÅ¡",
+      "ĠvÄĽt Å¡",
+      "ĠΣ Ïħ",
+      "Ùģ Ø©",
+      "аннÑı м",
+      "ĠÑĩ лен",
+      "æĶ¯ æĮģ",
+      "å¨ ľ",
+      "lar arası",
+      "lara rası",
+      "Ρ Îij",
+      "Ġz iy",
+      "Ġzi y",
+      "Ġ êµIJìľ¡",
+      "ĠêµIJ ìľ¡",
+      "Ġh á»ĵi",
+      "Ġhá»ĵ i",
+      "าà¸Ħ าร",
+      "าà¸Ħา ร",
+      "im leri",
+      "imler i",
+      "è³ ¼",
+      "ĠجÙĩ اÙĨ",
+      "ĠÑĢоз мÑĸ",
+      "Ñħ Ñĸв",
+      "γ ε",
+      "æ¨ ª",
+      "ÎĻ ÎijΣ",
+      "ÎĻÎij Σ",
+      "ç¶ Ń",
+      "Ġbi raz",
+      "Ġbir az",
+      "ĠÑĤак ого",
+      "ĠÑĤа кого",
+      "íĥ Ħ",
+      "ĠбÑĥд ÑĥÑĤ",
+      "ĠбÑĥ дÑĥÑĤ",
+      "ĠбÑĥдÑĥ ÑĤ",
+      "ĠÑĪ вид",
+      "Ġ неÑģ",
+      "Ġн еÑģ",
+      "Ġне Ñģ",
+      "ĠÙħ عÙĦÙĪÙħات",
+      "ĠÙħعÙĦ ÙĪÙħات",
+      "à¥ĩ यर",
+      "à¥ĩय र",
+      "Ġдв ÑĥÑħ",
+      "å¿ħ è¦ģ",
+      "å§ Ĩ",
+      "Ġpo hled",
+      "Ġpoh led",
+      "ìĬ¤ íĦ°",
+      "Ġ åįģ",
+      "Ġåį ģ",
+      "ĠØ£ ب",
+      "веÑĢ дж",
+      "веÑĢд ж",
+      "Ġà¤ľ म",
+      "ल त",
+      "åľ° åĮº",
+      "Ġ |[",
+      "Ġ| [",
+      "Ġв меÑģÑĤ",
+      "ĠÚ© اÙħ",
+      "Ġ ãĥIJ",
+      "Ġãĥ IJ",
+      "ãĥ¼ ãĥĸ",
+      "ãĥ¼ãĥ ĸ",
+      "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "Ġ ìĥģíĴĪ",
+      "Ġìĥģ íĴĪ",
+      "à¹Ģล ย",
+      "Äį né",
+      "ĠÑģÑĢед ÑģÑĤва",
+      "ĠÑģÑĢедÑģÑĤв а",
+      "Ġ ÑĤаб",
+      "ĠÑĤ аб",
+      "ĠÑĤа б",
+      "Ġ Ùħار",
+      "ĠÙħ ار",
+      "ĠÙħا ر",
+      "Ġ hled",
+      "Ġh led",
+      "Ġhl ed",
+      "д аÑĤ",
+      "да ÑĤ",
+      "ÙĪ ÛĮد",
+      "ÙĪÛĮ د",
+      "Ġ ãĥ©",
+      "Ġãĥ ©",
+      "ĠØ® د",
+      "è¤ ĩ",
+      "ç§ ĺ",
+      "Ġ برد",
+      "Ġب رد",
+      "Ġبر د",
+      "ĠÏĥ αÏĤ",
+      "Ïİ ÏĥειÏĤ",
+      "æĿ ¯",
+      "λ Ïį",
+      "å® ¿",
+      "Ġ ëĤľ",
+      "ĠëĤ ľ",
+      "ï» Ł",
+      "Ġözel likle",
+      "Ġözellik le",
+      "Ġкон Ñģ",
+      "ĠÙħ غ",
+      "ع ÙĬ",
+      "à¹Į à¸ģ",
+      "Ġ ÙĬت",
+      "ĠÙĬ ت",
+      "ĠÙħ شاÙĩ",
+      "ĠÙħØ´ اÙĩ",
+      "ĠTh anh",
+      "ĠThan h",
+      "ा à¤ľà¤¨",
+      "à¤¾à¤ľ न",
+      "¥ ¤",
+      "Ġv lá",
+      "Ġvl á",
+      "ĠÙģ ض",
+      "Τ ÎĻÎļ",
+      "Ġна Ñĥков",
+      "ĠнаÑĥк ов",
+      "е лем",
+      "ел ем",
+      "еле м",
+      "Ġd Ãłng",
+      "ĠгоÑģп одаÑĢ",
+      "Âł S",
+      "и ÑĩеÑģкиÑħ",
+      "иÑĩеÑģ киÑħ",
+      "иÑĩеÑģки Ñħ",
+      "ĠتÙĨ Ùĩا",
+      "à¤ľ न",
+      "Ġп ан",
+      "Ġпа н",
+      "åĨ ł",
+      "Ġ ëĤĺëĬĶ",
+      "ĠëĤĺ ëĬĶ",
+      "t ÃŃ",
+      "ä¸Ģ èµ·",
+      "Ġlã nh",
+      "Âł v",
+      "ov ým",
+      "ový m",
+      "ز ب",
+      "ĠجÙħع ÛĮت",
+      "Ġ æµ·",
+      "Ġæµ ·",
+      "ĠоÑģ ÑĥÑīеÑģÑĤв",
+      "Ã £i",
+      "ã i",
+      "ائ ر",
+      "Ġ ë³ij",
+      "Ġë³ ij",
+      "á»ĭ nh",
+      "Ġs á»Ńa",
+      "Ġsá»Ń a",
+      "à¥ĩà¤Ĥ ।",
+      "ÄĽ jÅ¡ÃŃ",
+      "ÄĽj Å¡ÃŃ",
+      "Ġд ÑĸÑĤ",
+      "ĠдÑĸ ÑĤ",
+      "Ġ æĥ",
+      "Ġæ ĥ",
+      "mÄ±ÅŁ tı",
+      "ر ØŃ",
+      "Ġì§Ģ ê¸Ī",
+      "å¦ »",
+      "âĹ ĭ",
+      "Ġ ì§ĢìĹŃ",
+      "Ġì§Ģ ìĹŃ",
+      "ÙĴ ÙĨ",
+      "Ġur Äįit",
+      "ĠurÄį it",
+      "ÙĴ Ùħ",
+      "z ÃŃ",
+      "è ķ",
+      "Ġ Ø´ÙĪر",
+      "ĠØ´ ÙĪر",
+      "ĠØ´ÙĪ ر",
+      "Ġ Không",
+      "ĠKh ông",
+      "ÛĮ زÛĮ",
+      "ÛĮز ÛĮ",
+      "Ġз г",
+      "Ġв не",
+      "Ġpr ávÄĽ",
+      "Ġprá vÄĽ",
+      "Ġpráv ÄĽ",
+      "è« ĭ",
+      "ا ÙĬت",
+      "اÙĬ ت",
+      "ั à¸ģร",
+      "ัà¸ģ ร",
+      "Ġolduk ça",
+      "ãĤģ ãĤĭ",
+      "ĠT ây",
+      "ëĿ¼ ìĿ¸",
+      "èĻ ķ",
+      "Ġs Æ°",
+      "Ġ ник",
+      "Ġн ик",
+      "Ġни к",
+      "Ù ł",
+      "اش ÛĮÙĨ",
+      "اشÛĮ ÙĨ",
+      "e lerde",
+      "el erde",
+      "eler de",
+      "ìĭľ ìķĦ",
+      "Ġ Ñĥмов",
+      "ĠÑĥ мов",
+      "ĠÑĥм ов",
+      "ĠçalÄ±ÅŁ an",
+      "Ġ ë¸Ķ",
+      "Ġë¸ Ķ",
+      "ĠÑĤак им",
+      "ĠÑĤа ким",
+      "ÑĢ ин",
+      "ÑĢи н",
+      "Ġ Ø®ÙĦ",
+      "ĠØ® ÙĦ",
+      "a yd",
+      "ay d",
+      "Ġ ãĥ¡",
+      "Ġãĥ ¡",
+      "ей ÑĩаÑģ",
+      "Ġdo prav",
+      "Ġdop rav",
+      "ãģĵ ãģ¨ãģ¯",
+      "ãģĵãģ¨ ãģ¯",
+      "Ġ ì¶Ķì²ľ",
+      "Ġì¶Ķ ì²ľ",
+      "å» ¶",
+      "Ġ kı",
+      "Ġk ı",
+      "åı ¶",
+      "ÑĢ иг",
+      "ÑĢи г",
+      "íħ ľ",
+      "çĶ³ åįļ",
+      "Ġ веÑĤ",
+      "Ġв еÑĤ",
+      "Ġве ÑĤ",
+      "ĠпомоÑī ÑĮÑİ",
+      "ĠاÙģ راد",
+      "ĠاÙģر اد",
+      "ÏĢ ει",
+      "ÏĢε ι",
+      "à¹Ģ สร",
+      "à¹Ģส ร",
+      "Ġgi ám",
+      "Ġgiá m",
+      "é İ",
+      "h las",
+      "hl as",
+      "man ız",
+      "manı z",
+      "ан гл",
+      "анг л",
+      "Ġmu ž",
+      "Âł K",
+      "ÑĢед иÑĤ",
+      "ÑĢеди ÑĤ",
+      "设 å¤ĩ",
+      "ι Ïĥμ",
+      "ιÏĥ μ",
+      "Ġc ải",
+      "Ġcả i",
+      "Ġ éĢļ",
+      "ĠéĢ ļ",
+      "Ġ Ùĥار",
+      "ĠÙĥ ار",
+      "Ġпод об",
+      "ĠмеÑĤ ал",
+      "ĠÑģам е",
+      "л ÑĥÑĩ",
+      "лÑĥ Ñĩ",
+      "åĤ ³",
+      "ĠÙĪÙĩ ÙĪ",
+      "Ġ éĩį",
+      "Ġéĩ į",
+      "в ий",
+      "ви й",
+      "æ³ ģ",
+      "Ġ æĿİ",
+      "ĠæĿ İ",
+      "ĠiliÅŁ kin",
+      "ĠiliÅŁk in",
+      "Ġεί Ïĩε",
+      "çĬ ¯",
+      "ÅĻej mÄĽ",
+      "èŃ ĺ",
+      "ç¨ ±",
+      "μ μα",
+      "μμ α",
+      "Ġ ÙĦÛĮ",
+      "ĠÙĦ ÛĮ",
+      "Ùĩ اÙĬ",
+      "Ùĩا ÙĬ",
+      "Ġ опиÑģ",
+      "Ġо пиÑģ",
+      "Ġоп иÑģ",
+      "گ رد",
+      "گر د",
+      "Ġг ÑĢ",
+      "ĠAnimal ia",
+      "ĠAnim alia",
+      "ÐŁ о",
+      "Ġb óng",
+      "ĠдеÑĤ ей",
+      "Ġl âu",
+      "Ġ æķĻ",
+      "Ġæķ Ļ",
+      "Ġпо ÑıÑģ",
+      "ĠاÙĦ Ø¢",
+      "ั à¸Ļà¸ķ",
+      "ัà¸Ļ à¸ķ",
+      "Ġд ев",
+      "Ġде в",
+      "Ġ ÑĨей",
+      "ĠÑĨ ей",
+      "ĠÑĨе й",
+      "ÑĮ в",
+      "æĥ ł",
+      "m aları",
+      "ma ları",
+      "mal arı",
+      "malar ı",
+      "im ler",
+      "à¥Ī ।ĊĊ",
+      "à¥Ī। ĊĊ",
+      "à¥Ī।Ċ Ċ",
+      "Ġ ном",
+      "Ġн ом",
+      "Ġно м",
+      "z v",
+      "Ġ à¸ģร",
+      "Ġà¸ģ ร",
+      "Ġpay laÅŁ",
+      "Âł s",
+      "ि सम",
+      "िस म",
+      "ÑģÑĤв еннÑĭÑħ",
+      "ÑģÑĤвен нÑĭÑħ",
+      "st oup",
+      "sto up",
+      "о нÑĸ",
+      "он Ñĸ",
+      "s tÃŃ",
+      "st ÃŃ",
+      "ĠØŃ Ú©",
+      "ĠÚ¯ رÙģت",
+      "ĠگرÙģ ت",
+      "Ġگر Ùģت",
+      "าà¸Ħ า",
+      "д Ñı",
+      "ÙĦ اث",
+      "ÙĦا Ø«",
+      "Ġzdrav ot",
+      "ä¸Ĭ ãģĴ",
+      "ãģ ¼",
+      "e lere",
+      "el ere",
+      "eler e",
+      "ele re",
+      "ظ Ùħ",
+      "ĠÑģ веÑĤ",
+      "ĠÑģв еÑĤ",
+      "о ÑĢг",
+      "оÑĢ г",
+      "ç« ¥",
+      "ĠпеÑĢ еп",
+      "ĠпеÑĢе п",
+      "Ġम द",
+      "а за",
+      "аз а",
+      "å¦Ĥ ä½ķ",
+      "ÑģÑĮ кÑĸй",
+      "ÑģÑĮк Ñĸй",
+      "ÑģÑĮкÑĸ й",
+      "Ġb Æ°á»Ľc",
+      "Ġger ekli",
+      "Ġgerek li",
+      "大 家",
+      "Ġtr ái",
+      "éģ ©",
+      "ä¸Ń 央",
+      "Ġph ản",
+      "Ġع رض",
+      "ĠÙĥ تاب",
+      "æĭ ©",
+      "ÑĪ его",
+      "ÑĪе го",
+      "å¸ ®",
+      "ĠÙĨÛĮ از",
+      "è¿ ·",
+      "ุ à¸Ľ",
+      "ิ à¸Ľ",
+      "Ġد Ø®",
+      "ÏĦ ικÎŃÏĤ",
+      "ÏĦικ ÎŃÏĤ",
+      "ĠU z",
+      "Ġت ÙĪÙħاÙĨ",
+      "ĠتÙĪ ÙħاÙĨ",
+      "ĠتÙĪÙħ اÙĨ",
+      "ĠÙĪ اÙĦØ£",
+      "ĠÙĪاÙĦ Ø£",
+      "ÅĻ es",
+      "ÅĻe s",
+      "Ñij м",
+      "Ġ å¸Ĥ",
+      "Ġå¸ Ĥ",
+      "ĠÑĤ оже",
+      "ĠÑĤо же",
+      "Ġy apan",
+      "Ġya pan",
+      "Ġyap an",
+      "彼 女",
+      "ĠÙħ در",
+      "ĠÙħد ر",
+      "¶ ģ",
+      "Ġ æŶ",
+      "ĠæĹ ¶",
+      "à¹Ģ à¸ĺ",
+      "à¹Ģภĺ",
+      "Ġ ÙħاÙĦ",
+      "ĠÙħ اÙĦ",
+      "ĠÙħا ÙĦ",
+      "ĠB üyük",
+      "ĠBü yük",
+      "Ġ ÙĦت",
+      "ĠÙĦ ت",
+      "å° ļ",
+      "d eme",
+      "de me",
+      "dem e",
+      "ü b",
+      "ĠÑħ Ñĥд",
+      "Ġlé ka",
+      "çĽ Ľ",
+      "缴 æİ¥",
+      "ниÑĨÑĤ ва",
+      "ĠпÑĢи Ñĩин",
+      "ĠпÑĢиÑĩ ин",
+      "е ÑĢап",
+      "еÑĢ ап",
+      "еÑĢа п",
+      "ĠÑģозд а",
+      "ĠÑģоз да",
+      "æ ¢°",
+      "æ¢ °",
+      "Ġm üz",
+      "Ġmü z",
+      "ç³» åĪĹ",
+      "o uz",
+      "ou z",
+      "Ġà¤ĵ र",
+      "ÑĢ ÑĥÑĩ",
+      "ÑĢÑĥ Ñĩ",
+      "Ġ á½",
+      "Ġá ½",
+      "μÎŃ Î½Î±",
+      "μÎŃν α",
+      "ĠпÑĢед меÑĤ",
+      "Ġ å²",
+      "Ġå ²",
+      "ãĥ³ ãĥģ",
+      "ãĥ³ãĥ ģ",
+      "μÎŃ Î½Î·",
+      "μÎŃν η",
+      "л Ñĥг",
+      "лÑĥ г",
+      "Âł n",
+      "ĠT arih",
+      "ĠTar ih",
+      "Ġ ãĢĪ",
+      "ĠãĢ Ī",
+      "Ġb ana",
+      "Ġban a",
+      "Ġba na",
+      "Ġ cÃŃ",
+      "Ġc ÃŃ",
+      "Ġvý kon",
+      "åĽł æѤ",
+      "Ġt ÅĻi",
+      "ĠtÅĻ i",
+      "า à¸ĭ",
+      "าภĭ",
+      "v ailable",
+      "vail able",
+      "Ġ istem",
+      "Ġis tem",
+      "Ġi stem",
+      "Ġist em",
+      "ãĥ¥ ãĥ¼",
+      "Ðķ ÐĿ",
+      "Ġ гаÑĢ",
+      "Ġг аÑĢ",
+      "οÏħ λ",
+      "ॠĽ",
+      "ĠÙĪ ضع",
+      "ส ะ",
+      "è· Ŀ",
+      "ĠØŃ Ùģ",
+      "ิà¸Ĺย าล",
+      "ิà¸Ĺยา ล",
+      "她 çļĦ",
+      "н ÑĸÑĪ",
+      "нÑĸ ÑĪ",
+      "ж ение",
+      "же ние",
+      "жен ие",
+      "기 ìĹIJ",
+      "Ġ éĺ¿",
+      "Ġéĺ ¿",
+      "ĠÙħ ارس",
+      "ĠÙħا رس",
+      "ĠÙħار س",
+      "ĠçeÅŁit li",
+      "Ġ ÅŁehir",
+      "ĠÅŁ ehir",
+      "ĠÅŁeh ir",
+      "á tor",
+      "át or",
+      "à¹ī à¸Ĺ",
+      "ìĿ´ ëĬĶ",
+      "Ġ è²",
+      "Ġè ²",
+      "é¡ į",
+      "ç ĻĤ",
+      "çĻ Ĥ",
+      "Ġ ниÑĩ",
+      "Ġн иÑĩ",
+      "Ġни Ñĩ",
+      "Ġ ê°Ģì§Ģ",
+      "Ġê°Ģ ì§Ģ",
+      "ä¼ ¦",
+      "r án",
+      "rá n",
+      "o stat",
+      "os tat",
+      "ost at",
+      "osta t",
+      "Ġ ÙĦÙĥ",
+      "ĠÙĦ Ùĥ",
+      "è º",
+      "ĠNg Ãłnh",
+      "Ġस द",
+      "æľ Ĺ",
+      "çĦ¶ åIJİ",
+      "ãĤ¸ ãĤ§",
+      "л еÑĢ",
+      "ле ÑĢ",
+      "ĠÐŀ на",
+      "ĠÐŀн а",
+      "س ÙĪÙĨ",
+      "سÙĪ ÙĨ",
+      "Ïģ ον",
+      "Ïģο ν",
+      "ĠدرÛĮ اÙģت",
+      "ĠدرÛĮا Ùģت",
+      "à¸Ń à¸Ńà¸Ļà¹Ħลà¸Ļ",
+      "Ġ dál",
+      "Ġd ál",
+      "Ġdá l",
+      "ĠмÑĸÑģ ÑĨе",
+      "Ġд ней",
+      "Ġ اÙĦات",
+      "Ġا ÙĦات",
+      "ĠاÙĦ ات",
+      "Ġरह त",
+      "ï¼Į 对",
+      "è³ĩ æĸĻ",
+      "ä»» ä½ķ",
+      "é Ħ",
+      "t aj",
+      "ta j",
+      "β ά",
+      "Ġна до",
+      "Ġнад о",
+      "ĠÑģÑĤ Ñĥд",
+      "ĠÅŁ eh",
+      "ัà¸į à¸į",
+      "à¥ĭ ब",
+      "ãĥ© ãĥ¼",
+      "Û± Ûµ",
+      "Û±Û µ",
+      "e pt",
+      "ep t",
+      "Ġbil dir",
+      "Ġbild ir",
+      "ส à¸ĸาà¸Ļ",
+      "สà¸ĸ าà¸Ļ",
+      "е ÑĤÑĮÑģÑı",
+      "еÑĤÑĮ ÑģÑı",
+      "sk ým",
+      "ský m",
+      "Ġобла ÑģÑĤÑĮ",
+      "ĠоблаÑģ ÑĤÑĮ",
+      "ĠоблаÑģÑĤ ÑĮ",
+      "Ġìŀ ł",
+      "ĠG ör",
+      "ĠGö r",
+      "Ġd ayan",
+      "Ġday an",
+      "Ġda yan",
+      "ĠÛĮ اد",
+      "ĠÛĮا د",
+      "çĶŁ 产",
+      "íĺ ij",
+      "å¾ ģ",
+      "Ġ اجر",
+      "Ġا جر",
+      "Ġاج ر",
+      "Ġп ÑĢе",
+      "ĠпÑĢ е",
+      "ä¸īä¸ī ä¸īä¸ī",
+      "åŁİ å¸Ĥ",
+      "Ġ пÑĢимеÑĢ",
+      "ĠпÑĢ имеÑĢ",
+      "ĠпÑĢи меÑĢ",
+      "ĠпÑĢим еÑĢ",
+      "Äį ást",
+      "èģ ĺ",
+      "ĠÙħرب ÙĪØ·",
+      "æŀ ļ",
+      "åĪ Ģ",
+      "æŁ¥ çľĭ",
+      "Ġ모 ëijIJ",
+      "ìŀIJ ë£Į",
+      "- ､",
+      "Ġê°Ļ ìĿ´",
+      "Ġ ì¡´",
+      "Ġì ¡´",
+      "Ġì¡ ´",
+      "е гоÑĢ",
+      "ег оÑĢ",
+      "его ÑĢ",
+      "e dik",
+      "ed ik",
+      "edi k",
+      "и мÑĥ",
+      "им Ñĥ",
+      "ĠAr th",
+      "ĠArt h",
+      "åºĶ çĶ¨",
+      "m iÅŁti",
+      "miÅŁ ti",
+      "Ġkhá»ı e",
+      "Ġ Ñĸд",
+      "ĠÑĸ д",
+      "λ λη",
+      "λλ η",
+      "â h",
+      "м аг",
+      "ма г",
+      "éļ Ĩ",
+      "ĠвнÑĥ ÑĤÑĢ",
+      "ĠвнÑĥÑĤ ÑĢ",
+      "Ġ بط",
+      "Ġب Ø·",
+      "( æĹ¥",
+      "Ä° Y",
+      "л ик",
+      "ли к",
+      "ĠB ản",
+      "Ġت ÙĪس",
+      "ĠتÙĪ س",
+      "़ त",
+      "a mak",
+      "am ak",
+      "ama k",
+      "åķı é¡Į",
+      "ĠÑģам оÑģÑĤ",
+      "ĠÑģамо ÑģÑĤ",
+      "ï¼¼ Ċ",
+      "Ġ ç¦ı",
+      "Ġç¦ ı",
+      "Ù ¡",
+      "Ġ ÑĦоÑĢми",
+      "ĠÑĦоÑĢм и",
+      "ĠÑĦоÑĢ ми",
+      "Ġ ÑĢозÑĥм",
+      "ĠÑĢоз Ñĥм",
+      "ĠÙħ طاÙĦ",
+      "ĠÙħØ· اÙĦ",
+      "ä¹Ł æĺ¯",
+      "ç¾İ åĽ½",
+      "ëĵľ 립ëĭĪëĭ¤",
+      "Ġl Ä©nh",
+      "ĠпоÑĤ омÑĥ",
+      "ĠпоÑĤом Ñĥ",
+      "Ñı бÑĢÑı",
+      "Ñıб ÑĢÑı",
+      "æ¼ «",
+      "Ġng oại",
+      "à¸Ń ำ",
+      "ÙĬ ÙĨا",
+      "ÙĬÙĨ ا",
+      "Ġm lad",
+      "Ġml ad",
+      "Ïĥ ÏĦά",
+      "ÏĥÏĦ ά",
+      "ا تر",
+      "ات ر",
+      "주 ìĿĺ",
+      "ен нÑĸ",
+      "о за",
+      "оз а",
+      "ÙĤ ات",
+      "ĠÐĴ аÑģ",
+      "è® Ń",
+      "é IJ",
+      "Ñĥ ÑİÑĩи",
+      "ÑĥÑİ Ñĩи",
+      "Ġ کر",
+      "ĠÚ© ر",
+      "Ġ .|",
+      "Ġ. |",
+      "Ġgen ç",
+      "è© ²",
+      "ä» ģ",
+      "о дÑĭ",
+      "од Ñĭ",
+      "ĠØ£ ÙĪÙĦ",
+      "ĠØ£ÙĪ ÙĦ",
+      "Ġ ìĤ¬íļĮ",
+      "ĠìĤ¬ íļĮ",
+      "Ġ à¹Ģส",
+      "Ġà¹Ģ ส",
+      "Ġà¹Ģภª",
+      "ĠëķĮ문 ìĹIJ",
+      "âĢĮ ب",
+      "Ġли ÑĪÑĮ",
+      "ĠлиÑĪ ÑĮ",
+      "Ġи менно",
+      "Ġим енно",
+      "m adı",
+      "ma dı",
+      "mad ı",
+      "Ġ éĤ",
+      "Ġé Ĥ",
+      "ĠÙĪ ارد",
+      "ĠÙĪا رد",
+      "Ġtak ım",
+      "Ġ à¹Ģห",
+      "Ġà¹Ģ ห",
+      "Ġà¹Ģภ«",
+      "Ġ à¸Ńย",
+      "Ġà¸Ń ย",
+      "Ġkon usu",
+      "Ġkonu su",
+      "Ġkonus u",
+      "Ø® ÙĪ",
+      "ĠÑģ ид",
+      "ĠÑģи д",
+      "èµ ¤",
+      "о ÑıÑĤелÑĮ",
+      "оÑıÑĤ елÑĮ",
+      "ëĭ µ",
+      "ε Ïī",
+      "Ñĸ Ñħ",
+      "Ġय द",
+      "ĠÚ© ÛĮÙģ",
+      "ĠÚ©ÛĮ Ùģ",
+      "μ οÏĤ",
+      "μο ÏĤ",
+      "Ġal dı",
+      "Ġald ı",
+      "Ġ íĻį",
+      "ĠíĻ į",
+      "к Ñĥп",
+      "кÑĥ п",
+      "ĠÙĨÙħ اÛĮØ´",
+      "ĠÙĨÙħاÛĮ Ø´",
+      "ãģ ¥",
+      "Ġ íķ©ëĭĪëĭ¤",
+      "Ġíķ ©ëĭĪëĭ¤",
+      "Ġíķ© ëĭĪëĭ¤",
+      "Ġë Įĵê¸Ģ",
+      "б оÑĢа",
+      "бо ÑĢа",
+      "боÑĢ а",
+      "éī Ħ",
+      "Ġ à¹Ģà¸Ī",
+      "Ġà¹Ģ à¸Ī",
+      "Ġà¹ĢภĪ",
+      "à¹ī à¸ģ",
+      "§ ط",
+      "ر بÙĩ",
+      "رب Ùĩ",
+      "Ġ Ñĥз",
+      "ĠÑĥ з",
+      "Ġм аÑİÑĤÑĮ",
+      "Ġма ÑİÑĤÑĮ",
+      "Ġby li",
+      "Ġbyl i",
+      "ี à¸ķ",
+      "Ġ ì§ĢìĽIJ",
+      "Ġì§Ģ ìĽIJ",
+      "èĩª çĦ¶",
+      "ù y",
+      "Ġç aÄŁ",
+      "Ġça ÄŁ",
+      "е дин",
+      "ед ин",
+      "еди н",
+      "ë ī´",
+      "åį ±",
+      "Ġпоз волÑı",
+      "Ġпозвол Ñı",
+      "ØŃ Ø§Ø¯",
+      "ĠÑĩ его",
+      "ีย ร",
+      "Ġyön tem",
+      "Ġ ders",
+      "Ġd ers",
+      "Ġde rs",
+      "Ġder s",
+      "Ġ ÑģÑĤоÑı",
+      "ĠÑģÑĤ оÑı",
+      "ĠÑģÑĤо Ñı",
+      "Ġк ÑĢÑĥп",
+      "Ġ ð",
+      "Ġдом аÑĪ",
+      "Ġдома ÑĪ",
+      "е нд",
+      "ен д",
+      "ç» §",
+      "ĠÄij ô",
+      "Ġch tÄĽ",
+      "计 åĪĴ",
+      "ÎŃ Î±",
+      "Ġdob ÅĻe",
+      "ส à¸Ńà¸ļ",
+      "е ление",
+      "ел ение",
+      "еле ние",
+      "елен ие",
+      "ĠÄij ông",
+      "ĠÄijô ng",
+      "ãģ¾ ãĤĬ",
+      "Ġboy unca",
+      "à¥ģ à¤Ĺ",
+      "à¥ģठĹ",
+      "ĠÑĦ из",
+      "ãĤ³ ãĥ³",
+      "Ġde ney",
+      "Ġden ey",
+      "ÑĩеÑģ киÑħ",
+      "Ñĩе ÑģкиÑħ",
+      "ÑĩеÑģки Ñħ",
+      "λ ον",
+      "λο ν",
+      "以 åıĬ",
+      "ا ÙĪت",
+      "اÙĪ ت",
+      "³ ³³³³",
+      "³³ ³³³",
+      "³³³³ ³",
+      "³³³ ³³",
+      "Ġ ì¤Ħ",
+      "Ġì¤ Ħ",
+      "ि फ",
+      "िठ«",
+      "ĠÑĤ ол",
+      "ĠÑĤо л",
+      "ĠëĤ´ ê°Ģ",
+      "âĸ ı",
+      "Ġp há",
+      "Ġph á",
+      "ĠÑģп Ñĸв",
+      "Ġ جÙħÙĬع",
+      "ĠجÙħ ÙĬع",
+      "Ġb ezpeÄį",
+      "Ġbez peÄį",
+      "Ġ æĹł",
+      "ĠæĹ ł",
+      "Ġv Å¡e",
+      "ĠvÅ¡ e",
+      "ÑģÑĤ вÑĥ",
+      "ÑģÑĤв Ñĥ",
+      "d ust",
+      "du st",
+      "o Å¡",
+      "Ġت ارÙĬØ®",
+      "ا ØŃØ©",
+      "اØŃ Ø©",
+      "ĠÙħشار ÙĥØ©",
+      "Ġ ακ",
+      "Ġα κ",
+      "ั à¸Ļà¸Ļ",
+      "ัà¸Ļ à¸Ļ",
+      "éģ Ĭ",
+      "Ġ ÑģоÑĤ",
+      "ĠÑģ оÑĤ",
+      "ĠÑģо ÑĤ",
+      "Ġ каз",
+      "Ġк аз",
+      "Ġка з",
+      "ĠÑĤ еÑĩение",
+      "ĠÑĤеÑĩ ение",
+      "ê¸ ´",
+      "acak tır",
+      "ê±° ëĤĺ",
+      "ี ยม",
+      "ีย ม",
+      "ĠÑģ ÑĥÑħ",
+      "ĠÑģÑĥ Ñħ",
+      "ĠëĦĪ 무",
+      "ãģı ãĤĭ",
+      "ĠкоÑĤоÑĢ ой",
+      "ا ÙĤØ©",
+      "اÙĤ Ø©",
+      "y ıl",
+      "yı l",
+      "ãĤ» ãĥĥãĥĪ",
+      "ĠÑį лем",
+      "æģ IJ",
+      "ÙĨ اء",
+      "ÙĨا Ø¡",
+      "åħ ©",
+      "Ġte Äı",
+      "ä¸ ¥",
+      "Ġì§Ī 문",
+      "Ġ 为",
+      "Ġä¸ º",
+      "ìĭľ íĹĺ",
+      "Ġп ÑĢок",
+      "ĠпÑĢ ок",
+      "ĠпÑĢо к",
+      "u jeme",
+      "uj eme",
+      "uje me",
+      "ü cü",
+      "üc ü",
+      "ĠاÙĦÙħ غ",
+      "ĠØŃ Ø³Ø§Ø¨",
+      "ĠØŃس اب",
+      "ãģĹ ãģ¦ãģĦ",
+      "ãģĹãģ¦ ãģĦ",
+      "к ова",
+      "ко ва",
+      "ков а",
+      "ĠÄij Ãło",
+      "Ġп ÑĢиз",
+      "ĠпÑĢ из",
+      "ĠпÑĢи з",
+      "ĠÙĪ ÙħÙĨ",
+      "ĠÙĪÙħ ÙĨ",
+      "Ġ оÑĢ",
+      "Ġо ÑĢ",
+      "à¸ģ à¸ķ",
+      "а ÑĦ",
+      "Ġ à¸ŀร",
+      "Ġà¸ŀ ร",
+      "ÑĨи ей",
+      "æ ª",
+      "Ġ působ",
+      "Ġp ůsob",
+      "Ġpů sob",
+      "åŃ© åŃIJ",
+      "Ġb ánh",
+      "Ġbán h",
+      "ĠÑĦоÑĢм Ñĥ",
+      "ĠÑĦоÑĢ мÑĥ",
+      "Ġ á»ķ",
+      "Ġá» ķ",
+      "Ġмен ее",
+      "Ġмене е",
+      "à¹ī าห",
+      "à¹īา ห",
+      "ни ÑĨа",
+      "ниÑĨ а",
+      "ี Ċ",
+      "Ġв олоÑģ",
+      "Ġвол оÑģ",
+      "Ġار ائÙĩ",
+      "第 ä¸ī",
+      "ëIJĺ ìĹĪ",
+      "Ġkıs m",
+      "Ġkı sm",
+      "ãĥ¼ ãĥĬ",
+      "ãĥ¼ãĥ Ĭ",
+      "ler imiz",
+      "ÙĨ ÙĬÙĨ",
+      "ÙĨÙĬ ÙĨ",
+      "Ġ NgÆ°á»Ŀi",
+      "ĠNg Æ°á»Ŀi",
+      "ĠоÑĤ дел",
+      "ĠоÑĤд ел",
+      "çļĦ æŶåĢĻ",
+      "о нов",
+      "он ов",
+      "Äį an",
+      "i zm",
+      "iz m",
+      "ĠÑģоб ой",
+      "à¹ĩ à¸ķ",
+      "Ġ ÑģлÑĸд",
+      "ĠÑģ лÑĸд",
+      "ĠÑģл Ñĸд",
+      "Ġ à¤ľà¤¹",
+      "Ġà¤ľ ह",
+      "ï¼Į æĪij们",
+      "ï¼ĮæĪij 们",
+      "ãĢĤ ãģĿãģ®",
+      "ÏĢ ÏīÏĤ",
+      "çĨ Ł",
+      "ภ¯",
+      "ëĦ IJ",
+      "æľ ĭ",
+      "Ġë¹Ħ ë°Ģ",
+      "ëį ķ",
+      "Ġm Ãłn",
+      "ĠmÃł n",
+      "ìĿ´ ê³ł",
+      "ëŀľ ëĵľ",
+      "éĤ Ħ",
+      "Ä±ÅŁ ık",
+      "Ä±ÅŁÄ± k",
+      "Ġ 个",
+      "Ġä¸ ª",
+      "Ġn ád",
+      "Ġná d",
+      "б ÑĢа",
+      "æĮĩ å®ļ",
+      "lar ıyla",
+      "ları yla",
+      "ĠÐŀ ни",
+      "ĠÐŀн и",
+      "Ġ hra",
+      "Ġh ra",
+      "Ġhr a",
+      "ĠÑĢе ÑĨеп",
+      "ĠÐłÐ¾Ñģ Ñģий",
+      "å½± åĵį",
+      "Ġ Když",
+      "ĠK dyž",
+      "ĠÃ¶ÄŁ renc",
+      "ĠÃ¶ÄŁren c",
+      "åī µ",
+      "Ġ jist",
+      "Ġj ist",
+      "Ġji st",
+      "èĪ Ī",
+      "è§ ¦",
+      "åıij çİ°",
+      "ม าย",
+      "มา ย",
+      "er ken",
+      "erk en",
+      "Ġзд еÑģÑĮ",
+      "ĠÙħس ئ",
+      "@n ate",
+      "ĠëĤ´ ìļ©",
+      "Ġnab ÃŃd",
+      "ĠnabÃŃ d",
+      "Û Ģ",
+      "Ġмо менÑĤ",
+      "Ġмом енÑĤ",
+      "ãģł ãģĮ",
+      "ί δα",
+      "ίδ α",
+      "T ak",
+      "Ta k",
+      "Ġ ë³´ê³ł",
+      "Ġë³´ ê³ł",
+      ": ::::::::",
+      ":: :::::::",
+      ":::: :::::",
+      ":::::: :::",
+      ":::::::: :",
+      "::: ::::::",
+      "::::: ::::",
+      "::::::: ::",
+      "ÄŁ men",
+      "Ġпо меÑī",
+      "Ġпом еÑī",
+      "ãģ«ãģ¤ ãģĦãģ¦",
+      "ĠÙģ ÙĪÙĤ",
+      "ĠÙģÙĪ ÙĤ",
+      "Ġع ضÙĪ",
+      "ĠÙħ ÛĮاÙĨ",
+      "ĠÙħÛĮ اÙĨ",
+      "Ġm üc",
+      "Ġmü c",
+      "ĠпÑĢо Ñıв",
+      "ÑĩеÑģ ки",
+      "Ñĩе Ñģки",
+      "ãģł ãģĭãĤī",
+      "éĤ ¦",
+      "Ġ ë¶ĦìĦĿ",
+      "Ġë¶Ħ ìĦĿ",
+      "éŁ ©",
+      "į ¨",
+      "ĠD aha",
+      "ĠDa ha",
+      "ĠDah a",
+      "Ġ κÏĮ",
+      "Ġκ ÏĮ",
+      "Ġна Ñĩина",
+      "ĠнаÑĩ ина",
+      "ĠÐŁ оÑĤ",
+      "ĠÐŁÐ¾ ÑĤ",
+      "Ïĥκε Ïħ",
+      "Ïĥκ εÏħ",
+      "Ġ ÑĢан",
+      "ĠÑĢ ан",
+      "ĠÑĢаР½",
+      "ĠÑĢа н",
+      "ÙĪ ÙĬس",
+      "ÙĪÙĬ س",
+      ": :::::::::",
+      ":: ::::::::",
+      ":::: ::::::",
+      ":::::: ::::",
+      ":::::::: ::",
+      "::: :::::::",
+      "::::: :::::",
+      "::::::: :::",
+      "::::::::: :",
+      "Û±Û¹ Û¹",
+      "Ġard ından",
+      "à¹Ĥ à¸Ķ",
+      "ا راÙĨ",
+      "ار اÙĨ",
+      "ارا ÙĨ",
+      "د اد",
+      "دا د",
+      "Ġqu ý",
+      "ĠØ£Ùĥ ثر",
+      "âĹ Ĩ",
+      "ĠØ£ خرÙī",
+      "Ġأخ رÙī",
+      "Ġë§Ī ìĿĮ",
+      "ë¦ ´",
+      "Ġ عÙĦÙĪÙħ",
+      "ĠعÙĦ ÙĪÙħ",
+      "Ġe ÄŁ",
+      "воÑĢ Ñİ",
+      "во ÑĢÑİ",
+      "Ġ ãĥĹ",
+      "Ġãĥ Ĺ",
+      "Ñĥ ÑĩаÑģ",
+      "ÑĥÑĩ аÑģ",
+      "ÑĥÑĩа Ñģ",
+      "Ġب Ø£",
+      "ÏĨ ο",
+      "ни ками",
+      "ник ами",
+      "ника ми",
+      "никам и",
+      "à¹ĥ à¸ķ",
+      "Äįet nÄĽ",
+      "à¸ļ าà¸ĩ",
+      "çī Ļ",
+      "ãĥª ãĤ«",
+      "í Ĵ",
+      "åĩº çīĪ",
+      "γ ι",
+      "ãĢĤ ãģĿãĤĮ",
+      "Ġy ani",
+      "Ġya ni",
+      "Ġyan i",
+      "l ech",
+      "le ch",
+      "lec h",
+      "ĠLu áºŃt",
+      "çļĦ ãģª",
+      "Ġneden iyle",
+      "Ġnedeni yle",
+      "d ej",
+      "de j",
+      "ĠÑģов еÑĢÑĪ",
+      "Ġph á»ķ",
+      "ıs ından",
+      "ısında n",
+      "Ġch ắc",
+      "d eÅŁ",
+      "de ÅŁ",
+      "Ġком ан",
+      "Ġко ман",
+      "æĽ ¿",
+      "Ġp lán",
+      "Ġpl án",
+      "Ġplá n",
+      "Ġd ữ",
+      "ĠêµŃ ê°Ģ",
+      "Ġta kip",
+      "Ġtak ip",
+      "Ġth ủy",
+      "Ġthủ y",
+      "Ñģ лÑĸд",
+      "Ñģл Ñĸд",
+      "âī §",
+      "ĠI IC",
+      "ĠII C",
+      "θ Ïħ",
+      "á vat",
+      "áv at",
+      "Ġ Ñģок",
+      "ĠÑģ ок",
+      "ĠÑģо к",
+      "Ġб агаÑĤо",
+      "Ġбаг аÑĤо",
+      "ĠбагаÑĤ о",
+      ";:;: ;:;:",
+      "Ïģ ιοÏĤ",
+      "Ïģι οÏĤ",
+      "Ïģιο ÏĤ",
+      "il miÅŁtir",
+      "ilm iÅŁtir",
+      "ilmiÅŁ tir",
+      "Ġ znam",
+      "Ġz nam",
+      "Ġzn am",
+      "Ġ Τα",
+      "ĠΤ α",
+      "a maz",
+      "am az",
+      "ama z",
+      "à¹ģ à¸ŀ",
+      "ãĥģ ãĥ£",
+      "Ġkullan ı",
+      "æĶ¾ éĢģ",
+      "д н",
+      "ĠÙĪ اب",
+      "ĠÙĪا ب",
+      "Ġtr ắng",
+      "Ñģ Ñıг",
+      "ÑģÑı г",
+      "Ġار تباط",
+      "Ġв Ñħод",
+      "å·ŀ å¸Ĥ",
+      "Ġ सत",
+      "Ġस त",
+      "Ñĩ аеÑĤÑģÑı",
+      "Ñĩа еÑĤÑģÑı",
+      "ÑĩаеÑĤ ÑģÑı",
+      "íĮĮ íĬ¸",
+      "Ġ Những",
+      "ĠNh ững",
+      "ä¸į åı¯",
+      "å± Ĭ",
+      "Ġ ãĤŃ",
+      "ĠãĤ Ń",
+      "ار ÙĩاÛĮ",
+      "ارÙĩ اÛĮ",
+      "Ġar ÅŁiv",
+      "Ġ اÙĦÙī",
+      "Ġا ÙĦÙī",
+      "ĠاÙĦ Ùī",
+      "ाय à¤ķ",
+      "ãģĹ ãĤĩãģĨ",
+      "ãģĹãĤĩ ãģĨ",
+      "Ġ ulus",
+      "Ġu lus",
+      "Ġul us",
+      "al axy",
+      "ala xy",
+      "기 ê°Ģ",
+      "ãİ¡ (",
+      "μά ÏĦÏīν",
+      "è n",
+      "ù i",
+      "Ġна ÑģÑĤоÑı",
+      "ĠнаÑģÑĤ оÑı",
+      "ĠС в",
+      "ĠоÑģ оби",
+      "ĠоÑģоб и",
+      "к ово",
+      "ко во",
+      "ков о",
+      "ĠÑĢеб енка",
+      "ĠÑĢебен ка",
+      "ĠÑĤ Ñıж",
+      "ĠÑĤÑı ж",
+      "Ġxu á»ijng",
+      "Ġ ê¶Į",
+      "Ġê ¶Į",
+      "о год",
+      "ог од",
+      "ого д",
+      "Ġ ấy",
+      "è² ł",
+      "ว à¸Ļ",
+      "Ġ stanov",
+      "Ġsta nov",
+      "Ġstan ov",
+      "Ġk rál",
+      "Ġkr ál",
+      "Ġà¤ĩ सल",
+      "Ġà¤ĩस ल",
+      "e be",
+      "eb e",
+      "å® ¾",
+      "ĠдоÑģÑĤаÑĤ оÑĩно",
+      "II IK",
+      "III K",
+      "ÏĢ ά",
+      "Ġbir kaç",
+      "ĠاÙĦ ÙħÙĤ",
+      "ĠاÙĦÙħ ÙĤ",
+      "ãĥ ¶",
+      "ĠBaÅŁ kanı",
+      "ĠBaÅŁkan ı",
+      "Ġ첨ë¶Ģ íĮĮìĿ¼",
+      "Ġya rar",
+      "Ġyar ar",
+      "äº ¡",
+      "Ġ ÏĢÏĮ",
+      "ĠÏĢ ÏĮ",
+      "Âł Ñģ",
+      "δ ή",
+      "e lerini",
+      "eler ini",
+      "eleri ni",
+      "elerin i",
+      "Ġs uç",
+      "Ġsu ç",
+      "Ġд ома",
+      "Ġдо ма",
+      "Ġдом а",
+      "Ġна ÑĢÑĥÑĪ",
+      "ĠнаÑĢ ÑĥÑĪ",
+      "Ġ ί",
+      "ĠÎ ¯",
+      "Ġê·¸ ìĿĺ",
+      "çĶµ å½±",
+      "ا بÙĩ",
+      "اب Ùĩ",
+      "к омÑĥ",
+      "ко мÑĥ",
+      "ком Ñĥ",
+      "Ġत ब",
+      "à¥Ī à¤ł",
+      "Ġ모 ì§ij",
+      "Ġ æ±Ł",
+      "Ġæ± Ł",
+      "Ġê²ĥ ìĿĢ",
+      "ον ÏĦαι",
+      "ĠاÙĦ رÙĬاض",
+      "è¨ ±",
+      "Ġhal inde",
+      "Ġاش ارÙĩ",
+      "Ġ кÑĢÑĭ",
+      "Ġк ÑĢÑĭ",
+      "л ений",
+      "лен ий",
+      "ле ний",
+      "lu ÄŁ",
+      "Ġdo bu",
+      "Ġdob u",
+      "s ik",
+      "si k",
+      "à¥ģ à¤Ł",
+      "à¥ģठŁ",
+      "Ġ кÑĸн",
+      "Ġк Ñĸн",
+      "ãģ¨ ãģį",
+      "à¥Ĥ स",
+      "æħ ¢",
+      "ĠdÄ±ÅŁ ında",
+      "ĠdÄ±ÅŁÄ± nda",
+      "ç· ı",
+      "Ġ bÃŃ",
+      "Ġb ÃŃ",
+      "ĠCL IIIK",
+      "ĠIIC III",
+      "Ġh erk",
+      "Ġhe rk",
+      "Ġher k",
+      "ãĤı ãģĽ",
+      "Ġ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "³ ³³³³³",
+      "³³ ³³³³",
+      "³³³³ ³³",
+      "³³³ ³³³",
+      "³³³³³ ³",
+      "اÙĦ د",
+      "Ġdav ran",
+      "Äį er",
+      "Äįe r",
+      "Ġ ØŁ",
+      "ĠØ Ł",
+      "ãģĺãĤĥ ãģªãģĦ",
+      "Ġd air",
+      "Ġda ir",
+      "Ġdai r",
+      "Ġî ¥¤",
+      "ั à¸ĩส",
+      "ัà¸ĩ ส",
+      "Ġ ëĭ´",
+      "Ġëĭ ´",
+      "å¾ ŀ",
+      "ĠÑįÑĤ иÑħ",
+      "ĠÑįÑĤи Ñħ",
+      "è¯ º",
+      "á» ·",
+      "е ÑĢиÑģÑĤи",
+      "еÑĢи ÑģÑĤи",
+      "ов ÑĭÑħ",
+      "Ġ ãĥĩ",
+      "Ġãĥ ĩ",
+      "ض ÙĬ",
+      "Ġà¤ī à¤ł",
+      "Ġnap ÅĻÃŃklad",
+      "è ´Ŀ",
+      "è´ Ŀ",
+      "Ġ Å¡k",
+      "ĠÅ¡ k",
+      "ĠبÙĪد ÙĨد",
+      "ĠبÙĪدÙĨ د",
+      "vů li",
+      "éģ ĩ",
+      "Ġз най",
+      "Ġзна й",
+      "Ġзн ай",
+      "ĠT ham",
+      "ĠTh am",
+      "r ani",
+      "ra ni",
+      "ran i",
+      "ا ØŃت",
+      "اØŃ Øª",
+      "Ø´ Ùĩ",
+      "мÑĸнÑĸ ÑģÑĤÑĢа",
+      "๠ĭ",
+      "ĠÎij να",
+      "ĠÎijν α",
+      "à¥ĭ à¤ļ",
+      "ç»Ħ ç»ĩ",
+      "ÑģÑĤ иÑĤ",
+      "ÑģÑĤи ÑĤ",
+      "im li",
+      "åIJį çĦ¡ãģĹãģķãĤĵ",
+      "åIJįçĦ¡ãģĹ ãģķãĤĵ",
+      "Ùij Ø©",
+      "θ μ",
+      "о лоÑĤ",
+      "ол оÑĤ",
+      "оло ÑĤ",
+      "ย à¸ĩ",
+      "ãĤī ãĤĮãĤĭ",
+      "ãĤīãĤĮ ãĤĭ",
+      "Ġ лиÑĩ",
+      "Ġл иÑĩ",
+      "Ġли Ñĩ",
+      "ов Ñĭе",
+      "éĢ ĥ",
+      "Ġ 广",
+      "Ġå¹ ¿",
+      "ìĬ ¬",
+      "Ùħ ÛĮÙĨ",
+      "ÙħÛĮ ÙĨ",
+      "ĠìłĦ ì²´",
+      "ĠÎŃ Ïĩ",
+      "Ġ ì±ħ",
+      "Ġì± ħ",
+      "Ġ hlas",
+      "Ġh las",
+      "Ġhl as",
+      "е кÑĤив",
+      "ек ÑĤив",
+      "екÑĤ ив",
+      "екÑĤи в",
+      "ĠÏĢ λη",
+      "lu ÄŁu",
+      "luÄŁ u",
+      "好 çļĦ",
+      "ĠÚĨ ÙĪÙĨ",
+      "ĠB eled",
+      "ĠBe led",
+      "ĠBel ed",
+      "Ġen gel",
+      "Ġeng el",
+      "нÑı Ñı",
+      "ĠyaÅŁ an",
+      "Ñĩ ниÑħ",
+      "ار ÙĬØ©",
+      "ارÙĬ Ø©",
+      "म त",
+      "ãĥĭãĥĭ ãĥĭãĥĭ",
+      "åĭ ¢",
+      "Ġ åĨħ",
+      "ĠåĨ ħ",
+      "Ġíı¬ íķ¨",
+      "Ġоб Ñģ",
+      "Ġth ấp",
+      "Ġd ây",
+      "ãĥĸ ãĥ©",
+      "а ÑĤÑĭ",
+      "аÑĤ Ñĭ",
+      "ĠÑģво ей",
+      "ĠÑģвое й",
+      "ãĤī ãģªãģĦ",
+      "åıij çĶŁ",
+      "e rece",
+      "er ece",
+      "ere ce",
+      "Ġod bor",
+      "Ġв неÑģ",
+      "Ġвне Ñģ",
+      "ĠÄIJ ảng",
+      "ĠëıĮ ìķĦ",
+      "ÄĽ li",
+      "ÄĽl i",
+      "ı sında",
+      "ıs ında",
+      "ısı nda",
+      "Ġबद ल",
+      "v nÃŃ",
+      "vn ÃŃ",
+      "ãģ® ãģ«",
+      "Ġпо ÑĤом",
+      "ĠпоÑĤ ом",
+      "im de",
+      "imd e",
+      "a lama",
+      "al ama",
+      "ala ma",
+      "alam a",
+      "âĢ ª",
+      "Ġstej nÄĽ",
+      "е ÑĢе",
+      "еÑĢ е",
+      "éĴ ¢",
+      "æľº æŀĦ",
+      "Ġ è³",
+      "Ġè ³",
+      "åĶ ±",
+      "Ġ ëħ¸ì¶ľ",
+      "Ġëħ¸ ì¶ľ",
+      "Ġли бо",
+      "âĢ Ĭ",
+      "Ġc ez",
+      "Ġce z",
+      "ro mÄĽ",
+      "rom ÄĽ",
+      "ί Ïīν",
+      "ÏĨ ή",
+      "Ġ íĻ©",
+      "ĠíĻ ©",
+      "Ġdlou h",
+      "éª ¨",
+      "åħ¬ éĩĮ",
+      "ä¼ ¸",
+      "Ġ ãĥij",
+      "Ġãĥ ij",
+      "ä» Ļ",
+      "Ġol madı",
+      "Ġolm adı",
+      "Ġolma dı",
+      "е лиÑĩ",
+      "ел иÑĩ",
+      "ели Ñĩ",
+      "ожд ениÑı",
+      "Ġsöy ledi",
+      "Ġsöyl edi",
+      "á tek",
+      "át ek",
+      "áte k",
+      "ìĥ µ",
+      "ย วà¸ģ",
+      "ยว à¸ģ",
+      "Ġ 鼻",
+      "ĠéĽ »",
+      "Ġп ев",
+      "ĠдÑĢÑĥг ие",
+      "át ku",
+      "Ġع ÙĪ",
+      "ov ána",
+      "ová na",
+      "ován a",
+      "ض ر",
+      "Ġëģ Ŀ",
+      "ĠíĨµ íķ´",
+      "Î ĸ",
+      "Ġv ur",
+      "Ġvu r",
+      "åĨ ²",
+      "Ġп ÑĢек",
+      "ĠпÑĢ ек",
+      "ĠпÑĢе к",
+      "Ġप à¤ķ",
+      "Ġ à¹Ģà¸Ĺ",
+      "Ġà¹Ģ à¸Ĺ",
+      "Ġà¹ĢภĹ",
+      "ãģ¨ ãģĭ",
+      "ع ÙĨ",
+      "å® ĩ",
+      "ÏĦ ζ",
+      "Ġn ằm",
+      "ĠÑģ воб",
+      "ĠÑģв об",
+      "ĠÑģво б",
+      "Ġδ Ïį",
+      "çĸ Ĺ",
+      "- й",
+      "é¦Ļ 港",
+      "ت ا",
+      "Ïĥι μο",
+      "íķ Ħ",
+      "Ġ 详æĥħ",
+      "Ġè¯ ¦æĥħ",
+      "ä¸ ¡",
+      "Ùİ Ø§ÙĦ",
+      "Ùİا ÙĦ",
+      "ĠTr Æ°á»Ŀng",
+      "e ného",
+      "en ého",
+      "ené ho",
+      "ĠÑĢекомен дÑĥ",
+      "ÛĮ رÙĩ",
+      "ÛĮر Ùĩ",
+      "า à¸ĸ",
+      "าภĸ",
+      "ĠÚ© اÙħÙĦ",
+      "ĠکاÙħ ÙĦ",
+      "ب ط",
+      "ز ÛĮÙĨÙĩ",
+      "زÛĮ ÙĨÙĩ",
+      "Ġдолж на",
+      "Ġë§İ ìĿĢ",
+      "âĹıâĹıâĹıâĹı âĹıâĹıâĹıâĹı",
+      "lep Å¡ÃŃ",
+      "ал ог",
+      "ало г",
+      "ãĤª ãĥ³",
+      "Ġ ë³Ħ",
+      "Ġë³ Ħ",
+      "ı rı",
+      "ır ı",
+      "ĠجاÙħ عÙĩ",
+      "ĠجاÙħع Ùĩ",
+      "æĽ ľ",
+      "o jÃŃ",
+      "oj ÃŃ",
+      "ĠÑĪ лÑıÑħ",
+      "Ġhız lı",
+      "Ġ خصÙĪص",
+      "Ġخص ÙĪص",
+      "ÐIJ ÑĢ",
+      "å ľĺ",
+      "åľ ĺ",
+      "Ġжив оÑĤ",
+      "é ±",
+      "Ġng ữ",
+      "Ġv òng",
+      "èİ «",
+      "Ġза Ñħод",
+      "ĠзаÑħ од",
+      "ìĻ Ħ",
+      "ĠÑģлед ÑĥÑİÑī",
+      "éĹ »",
+      "Ñij ÑĢ",
+      "Ġch vÃŃ",
+      "èĥ ľ",
+      "ãģª ãģĹ",
+      "Ġtek noloj",
+      "Ġtekn oloj",
+      "ej ména",
+      "Ġ ìłĪ",
+      "Ġìł Ī",
+      "ì³ IJ",
+      "æĻ® éĢļ",
+      "Ġvý ro",
+      "Ġay rı",
+      "Ġayr ı",
+      "Ġп ÑĢев",
+      "ĠпÑĢ ев",
+      "ĠпÑĢе в",
+      "Ġgó p",
+      "à¹Ĥ à¸ģ",
+      "à¸Ĺำ à¹ĥห",
+      "åı İ",
+      "åĺ ī",
+      "Ġte lev",
+      "Ġtele v",
+      "Ġtel ev",
+      "ãģ¨ ãģĵãĤį",
+      "ëı Į",
+      "ph yl",
+      "phy l",
+      "ร าะ",
+      "Ġ çĪ",
+      "Ġç Ī",
+      "ÑģÑĤ иÑĤÑĥ",
+      "ÑģÑĤи ÑĤÑĥ",
+      "ÑģÑĤиÑĤ Ñĥ",
+      "ï¼Į è¿ĺ",
+      "ĠÎij γ",
+      "Äį ku",
+      "æı ´",
+      "ाय त",
+      "æı ı",
+      "ãĤĤ ãģĹ",
+      "ĠпеÑĢ еÑģ",
+      "ĠпеÑĢе Ñģ",
+      "Ġìĺģ íĻĶ",
+      "id la",
+      "idl a",
+      "åİ ħ",
+      "ï¼ı :",
+      "ت رÛĮ",
+      "تر ÛĮ",
+      "à¸Ľ à¸ı",
+      "ĠнаÑģ еленнÑı",
+      "Ġam aç",
+      "Ġama ç",
+      "Ġk do",
+      "Ġkd o",
+      "Ġиз веÑģÑĤ",
+      "ÑĪ иÑĢ",
+      "ÑĪи ÑĢ",
+      "ì£ ł",
+      "Å¡ it",
+      "Å¡i t",
+      "Ġt á»ijc",
+      "Ġtá»ij c",
+      "ìŀIJ ìĿĺ",
+      "Ñĩ аÑĤ",
+      "Ñĩа ÑĤ",
+      "åı ĥ",
+      "éĽ ¶",
+      "å° º",
+      "Ġ indir",
+      "Ġin dir",
+      "Ġind ir",
+      "Ġна ÑĨÑĸоналÑĮ",
+      "Ġx anh",
+      "Ġxa nh",
+      "ÛĮ دÛĮ",
+      "ÛĮد ÛĮ",
+      "Ġин ÑĤеÑĢеÑģ",
+      "ĠинÑĤеÑĢ еÑģ",
+      "ĠØ¢ سÛĮ",
+      "Ġآس ÛĮ",
+      "éĤ£ 个",
+      "Ġb ilm",
+      "Ġbi lm",
+      "Ġbil m",
+      "а не",
+      "ан е",
+      "ĠtÄĽch to",
+      "Ñĩ ик",
+      "Ñĩи к",
+      "Ġдо Ñħод",
+      "èĤ¡ 份",
+      "åħ³ ç³»",
+      "ãģ«ãģª ãģ£ãģŁ",
+      "ĠпÑĢед пÑĢи",
+      "Ġgeç en",
+      "Ġب ÙĤ",
+      "Ġvý znam",
+      "Ġ à¹Ģà¸Ħร",
+      "Ġà¹Ģ à¸Ħร",
+      "Ġà¹Ģà¸Ħ ร",
+      "ĠÑħ ÑĤо",
+      "Ø´ ÙĬ",
+      "åıĤ åĬł",
+      "ÑģÑĤв енного",
+      "ÑģÑĤвен ного",
+      "ÑģÑĤвенно го",
+      "ÑĤ ÑĢон",
+      "ÑĤÑĢ он",
+      "ÑĤÑĢо н",
+      "ÂĢÂĢ ÂĢÂĢ",
+      "æ¢ Ŀ",
+      "б ав",
+      "ба в",
+      "Û± Û¶",
+      "Û±Û ¶",
+      "é¡ º",
+      "Ġj az",
+      "Ġja z",
+      "ĠاÙĦ ÙħÙĦ",
+      "ĠاÙĦÙħ ÙĦ",
+      "Ġا ثر",
+      "Ġاث ر",
+      "ĠпÑĢи вод",
+      "ĠпÑĢив од",
+      "а нÑĥ",
+      "ан Ñĥ",
+      "à¥ģ à¤Ń",
+      "à¥ģठŃ",
+      "æĹ §",
+      "ÑĮ е",
+      "ส ล",
+      "л ÑıÑİÑĤ",
+      "лÑı ÑİÑĤ",
+      "ว à¸Ķ",
+      "Æ° Ỽi",
+      "Æ°á» Ľi",
+      "Æ°á»Ľ i",
+      "ÙĬ ÙħØ©",
+      "ÙĬÙħ Ø©",
+      "ãĤ¯ ãĥŃ",
+      "л ий",
+      "ли й",
+      "γ Ïģά",
+      "Ġper forman",
+      "Ġperform an",
+      "Ġperf orman",
+      "Ġperfor man",
+      "è¯ ī",
+      "ä½ł çļĦ",
+      "ìħ Ķ",
+      "н ениÑı",
+      "не ниÑı",
+      "нен иÑı",
+      "á»Ń i",
+      "ÙĪ زÛĮ",
+      "ÙĪز ÛĮ",
+      "éŁ ¿",
+      "à¥Ī द",
+      "Ġëª ¸",
+      "Ġe ser",
+      "Ġes er",
+      "Ġese r",
+      "ĠÙģعاÙĦ ÛĮت",
+      "нÑĸ веÑĢ",
+      "нÑĸв еÑĢ",
+      "κ Ïģα",
+      "è¨ ¼",
+      "Ġn emoc",
+      "Ġnem oc",
+      "Ġyardım cı",
+      "Ġ çī¹",
+      "Ġçī ¹",
+      "Ġ коп",
+      "Ġк оп",
+      "Ġко п",
+      "ĠÐľ ож",
+      "़ à¤ķ",
+      "Ġ ëľ",
+      "Ġë ľ",
+      "ĠÑĢе ак",
+      "Ġp ozor",
+      "Ġpoz or",
+      "Âł ÐIJ",
+      "Ġ ÙĬÙĥ",
+      "ĠÙĬ Ùĥ",
+      "ĠÑģ ад",
+      "Ġ åħ«",
+      "Ġåħ «",
+      "Ġп олÑĮз",
+      "ĠполÑĮ з",
+      "Ġra ÄŁmen",
+      "ter nÃŃ",
+      "tern ÃŃ",
+      "s iyon",
+      "si yon",
+      "Ñģ ÑıÑĩ",
+      "ÑģÑı Ñĩ",
+      "ov aný",
+      "ova ný",
+      "ovan ý",
+      "ĠëĮĢíķľ 민êµŃ",
+      "ĠвÑĸд б",
+      "ĠÐIJ нд",
+      "ĠÐIJн д",
+      "st va",
+      "éĮ Ħ",
+      "Ġ ëij",
+      "Ġë ij",
+      "ิ à¸Ħ",
+      "j ÃŃt",
+      "jÃŃ t",
+      "Ġkullan ıcı",
+      "Ġkullanı cı",
+      "Ġ æŁ¥çľĭ",
+      "ĠæŁ¥ çľĭ",
+      "Ùģ ÙĦ",
+      "Ġ ЯкÑīо",
+      "ĠЯк Ñīо",
+      "çľĭ åĪ°",
+      "ÑĢ еÑħ",
+      "ÑĢе Ñħ",
+      "ĠاÙĦع ربÙĬØ©",
+      "ĠاÙĦعرب ÙĬØ©",
+      "ĠاÙĦعربÙĬ Ø©",
+      "ë¡ľê·¸ ëŀ¨",
+      "Ġब à¤ľ",
+      "Ġп ÑĢип",
+      "ĠпÑĢ ип",
+      "ĠпÑĢи п",
+      "Ġs chop",
+      "Ġsc hop",
+      "Ġsch op",
+      "Ġscho p",
+      "Ġب اÙĦا",
+      "Ġبا ÙĦا",
+      "ĠباÙĦ ا",
+      "å® ħ",
+      "Ġا ÙĦÙħÙĩ",
+      "ĠاÙĦ ÙħÙĩ",
+      "ĠاÙĦÙħ Ùĩ",
+      "α να",
+      "αν α",
+      "à¥ĭ व",
+      "åģ ´",
+      "å¼Ģ åıij",
+      "Ùħ اÙĦ",
+      "Ùħا ÙĦ",
+      "Ġ धर",
+      "Ġध र",
+      "Ġda hil",
+      "Ġdah il",
+      "Ġdahi l",
+      "ãĢģ ãģĵãģ®",
+      "ัà¸Ī à¸Ī",
+      "Ñģп ÑĸлÑĮ",
+      "Ġà¤ķ प",
+      "Ġв еÑĩ",
+      "Ġве Ñĩ",
+      "Ġвид а",
+      "Ġви да",
+      "ĠÙħ عÙĨ",
+      "ĠÙħع ÙĨ",
+      "ĠоÑĤ ли",
+      "i á»ħ",
+      "iá» ħ",
+      "л иÑĪ",
+      "ли ÑĪ",
+      "Ġ ÐŁÐ¾Ñģле",
+      "ĠÐŁÐ¾Ñģ ле",
+      "ãģĵ ãģĵ",
+      "Ġk ültür",
+      "Ġ جر",
+      "Ġج ر",
+      "Ġ æ¼",
+      "Ġæ ¼",
+      "èĩ º",
+      "Ġmev cut",
+      "Ù¾ ÛĮ",
+      "ĠاÙĦ سÙĦاÙħ",
+      "ĠاÙĦس ÙĦاÙħ",
+      "иÑĤ елей",
+      "иÑĤе лей",
+      "Ġ ÑĢоÑģÑĤ",
+      "ĠÑĢ оÑģÑĤ",
+      "ĠÑĢоÑģ ÑĤ",
+      "Ġed il",
+      "Ġedi l",
+      "Ġ å·²",
+      "Ġå· ²",
+      "ç²¾ åĵģ",
+      "ä» ħ",
+      "âĢĻ ye",
+      "âĢĻy e",
+      "à¥Īà¤Ĥ .",
+      "Ġ åĨĨ",
+      "ĠåĨ Ĩ",
+      "ëĪ Ħ",
+      "Ġ ìĻķ",
+      "ĠìĻ ķ",
+      "æĺ Ń",
+      "ĠÎļ ο",
+      "m eden",
+      "med en",
+      "me den",
+      "Ġo lab",
+      "Ġol ab",
+      "Ġola b",
+      "ĠÚ© ÙĪد",
+      "ĠÚ©ÙĪ د",
+      "à¸Ħ าส",
+      "ен наÑı",
+      "æĬ ¼",
+      "yl ül",
+      "Ġsev iy",
+      "Ġd ÄĽti",
+      "ĠdÄĽ ti",
+      "ĠdÄĽt i",
+      "âĢ¬ Ċ",
+      "Ġع ز",
+      "Ġu á»ijng",
+      "Ġس رÙħ",
+      "Ġسر Ùħ",
+      "е не",
+      "ен е",
+      "Ġмал енÑĮ",
+      "Ġ вÑĸдом",
+      "Ġв Ñĸдом",
+      "ĠвÑĸд ом",
+      "ĠвÑĸ дом",
+      "ั à¸ļà¸Ĺ",
+      "ัà¸ļ à¸Ĺ",
+      "ĠTh ái",
+      "Ġà¤Ĩव श",
+      "rove ÅĪ",
+      "çĽ £",
+      "ĠÑı зÑĭ",
+      "ĠO y",
+      "å£ ģ",
+      "в аÑĤÑĮ",
+      "ва ÑĤÑĮ",
+      "ваÑĤ ÑĮ",
+      "л адÑĥ",
+      "ла дÑĥ",
+      "лад Ñĥ",
+      "ا صÙĦ",
+      "اص ÙĦ",
+      "ot ÅĻeb",
+      "د ÙĬØ«",
+      "دÙĬ Ø«",
+      "íı °",
+      "νο μ",
+      "г оÑĢод",
+      "го ÑĢод",
+      "гоÑĢ од",
+      "Ġm uh",
+      "Ġmu h",
+      "âĢĻ l",
+      "ÑģÑĤ воÑĢ",
+      "ÑģÑĤв оÑĢ",
+      "ÑģÑĤво ÑĢ",
+      "åħ Ħ",
+      "Ðķ Ðł",
+      "Ø· ÙĦ",
+      "éľ ĩ",
+      "Ùİ Øª",
+      "Ġb lÃŃ",
+      "Ġbl ÃŃ",
+      "Ġed ildi",
+      "Ġedil di",
+      "éĿ ł",
+      "äºĮ åįģ",
+      "æĹ Ĺ",
+      "Ġç iz",
+      "ĠÄij ảo",
+      "Ġo pat",
+      "Ġop at",
+      "o ÄŁan",
+      "oÄŁ an",
+      "ë² Į",
+      "Ġ éł",
+      "Ġé ł",
+      "Ġseb ep",
+      "Ġsebe p",
+      "Ñĥ ÑĤи",
+      "ÑĥÑĤ и",
+      "åĪ º",
+      "ط ب",
+      "ev Å¡ÃŃm",
+      "c hop",
+      "ch op",
+      "cho p",
+      "çĶ ļ",
+      "Ġngh á»ģ",
+      "Ġп аÑĢÑĤ",
+      "ĠпаÑĢ ÑĤ",
+      "ุ à¸Ħ",
+      "Ú© ÛĮÙĦ",
+      "Ú©ÛĮ ÙĦ",
+      "d um",
+      "du m",
+      "Ġor tak",
+      "Ġort ak",
+      "Ġorta k",
+      "ãģŁ ãģĹ",
+      "Ġoby vatel",
+      "Ġv ých",
+      "Ġvý ch",
+      "Ġv eren",
+      "Ġver en",
+      "Ġve ren",
+      "Ġvere n",
+      "Ġв еÑģÑĮ",
+      "ĠвеÑģ ÑĮ",
+      "Ġве ÑģÑĮ",
+      "ĠÐĶ а",
+      "Ġ íķĺì§Ģë§Į",
+      "Ġíķĺ ì§Ģë§Į",
+      "Ġíķĺì§Ģ ë§Į",
+      "å¦Ĥ æѤ",
+      "Ġमह त",
+      "ัà¸ĩà¸ģ ฤษ",
+      "ãĢĤ è¿Ļ",
+      "Ġ гал",
+      "Ġг ал",
+      "Ġsa nat",
+      "Ġsan at",
+      "Ġsana t",
+      "éł Ĩ",
+      "ĠÑģам о",
+      "å Ľ°",
+      "åĽ °",
+      "ี à¸Ń",
+      "ĠBaÅŁ kan",
+      "ÏĦ οÏħÏĤ",
+      "ÏĦοÏħ ÏĤ",
+      "Ġyap tıģı",
+      "Ġyaptı ģı",
+      "Ġyaptıģ ı",
+      "ÅĻ it",
+      "ÅĻi t",
+      "ĠÑģ ÑĸлÑĮ",
+      "ान त",
+      "Ġ ÙĨت",
+      "ĠÙĨ ت",
+      "Ġkh Äĥn",
+      "à¸Ĭ à¸Ļะ",
+      "à¸Ĭà¸Ļ ะ",
+      "м ини",
+      "ми ни",
+      "мин и",
+      "ãĥ¬ ãĥ¼",
+      "ë Ĥ¬",
+      "ëĤ ¬",
+      "éħĴ åºĹ",
+      "ĠاÙĦÙĬ ÙĪÙħ",
+      "ä¹ Ĺ",
+      "à¸Ħรà¸ĩ à¸ģาร",
+      "Ùģ اÙĤ",
+      "Ġ à¤ıस",
+      "Ġà¤ı स",
+      "Ġ æ¡",
+      "Ġæ ¡",
+      "Ú¯ Ø°",
+      "Ġà¤ĩ ल",
+      "е лениÑı",
+      "ел ениÑı",
+      "еле ниÑı",
+      "елен иÑı",
+      "à¸ģ รà¸ĵ",
+      "à¸ģร à¸ĵ",
+      "举 西",
+      "ÎŁ Îľ",
+      "ÎŁÎ ľ",
+      "Ġm áºŃt",
+      "Ġs nÃŃ",
+      "Ġsn ÃŃ",
+      "Â IJ",
+      "à¹Ģร า",
+      "íķ´ ìķ¼",
+      "Ġ ìĦľë¹ĦìĬ¤",
+      "ĠìĦľ ë¹ĦìĬ¤",
+      "Ġداخ ÙĦ",
+      "Ġth ắng",
+      "íĥ Ī",
+      "а вÑģÑı",
+      "ав ÑģÑı",
+      "Ġ Ñĸм",
+      "ĠÑĸ м",
+      "ا Ùħت",
+      "اÙħ ت",
+      "Ġ ÙĪÙĤت",
+      "ĠÙĪ ÙĤت",
+      "ĠÙĪÙĤ ت",
+      "à¥Ĥ à¤ģ",
+      "Ġ èIJ",
+      "Ġè IJ",
+      "Ġ سÙĦاÙħ",
+      "Ġس ÙĦاÙħ",
+      "ĠسÙĦ اÙħ",
+      "Ġvz dÄĽl",
+      "å¸Į æľĽ",
+      "åŃĺ æ¡£",
+      "Ġ à¸Ĺำ",
+      "Ġà¸Ĺ ำ",
+      "ĠвÑĸй ÑģÑĮ",
+      "а ÑĢан",
+      "аÑĢ ан",
+      "аÑĢа н",
+      "ĠÑĢ Ñĸк",
+      "Ġп иÑģÑĮ",
+      "Ġпи ÑģÑĮ",
+      "ĠпиÑģ ÑĮ",
+      "Ġá¼ IJ",
+      "기 ëıĦ",
+      "ĠпоÑģÑĤ оÑıн",
+      "Ġ åĮĹ京",
+      "ĠåĮĹ äº¬",
+      "ĠNÄĽ m",
+      "Ø´ ÙĨاÙħÙĩ",
+      "Ø´ÙĨ اÙħÙĩ",
+      "Ġdal Å¡ÃŃch",
+      "ĠdalÅ¡ÃŃ ch",
+      "Ġب اع",
+      "Ġبا ع",
+      "Ġpo hy",
+      "Ġpoh y",
+      "ا ÙĦÙģ",
+      "اÙĦ Ùģ",
+      "à¸ŀ วà¸ģ",
+      "é ĭ",
+      "Ġ cih",
+      "Ġc ih",
+      "Ġci h",
+      "Ù ¢",
+      "ä¸ ´",
+      "ãĤ¯ ãĥĪ",
+      "п нÑı",
+      "Ġ дал",
+      "Ġд ал",
+      "Ġда л",
+      "ÙĴ ر",
+      "ãĢĢ ãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢ ĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢĠãĢĢ ĠãĢĢ",
+      "ãĢĢãĢĢĠ ãĢĢĠãĢĢ",
+      "æĬ¥ åijĬ",
+      "ÙĪ دÛĮ",
+      "ÙĪد ÛĮ",
+      "á» £i",
+      "ợ i",
+      "ÑĨ ÑĸÑĶÑİ",
+      "ÑĨÑĸ ÑĶÑİ",
+      "Ġ ãĥĢ",
+      "Ġãĥ Ģ",
+      "ĠÑģÑĤ еп",
+      "r až",
+      "ra ž",
+      "ĠS aÄŁ",
+      "ĠSa ÄŁ",
+      "Ġt uyến",
+      "Ġtuy ến",
+      "Ġal mak",
+      "Ġalma k",
+      "Ġalm ak",
+      "Ġзаболева ниÑı",
+      "Ġ ÏĥÏĩ",
+      "ĠÏĥ Ïĩ",
+      "Ġ íĭ",
+      "Ġí ĭ",
+      "Ġв им",
+      "Ġви м",
+      "ç¡ ¬",
+      "Ġ äºĶ",
+      "Ġi kinci",
+      "Ġik inci",
+      "ุ à¸į",
+      "ส าว",
+      "ĠìĦ¸ ê³Ħ",
+      "ĠÙħ ØŃÙĦ",
+      "ĠÙħØŃ ÙĦ",
+      "ระ หว",
+      "Ġelek tron",
+      "Ġelekt ron",
+      "Ġelektr on",
+      "Ġh ại",
+      "Ġhạ i",
+      "æĹ ¢",
+      "Ġ íĸ¥",
+      "Ġíĸ ¥",
+      "Ġji né",
+      "Ġjin é",
+      "Ġng he",
+      "Ġngh e",
+      "æij ©",
+      "ĠÑģо бÑĸ",
+      "ĠÑģоб Ñĸ",
+      "Æ ¯",
+      "ÑĤ ÑĥÑĢ",
+      "ÑĤÑĥ ÑĢ",
+      "汽 车",
+      "Ø´ اÙĩ",
+      "Ġd Ãłnh",
+      "ä¸ ¹",
+      "ä»Ĭ æĹ¥",
+      "ãĥIJ ãĥ¼",
+      "в аниÑı",
+      "ва ниÑı",
+      "ван иÑı",
+      "Ġ ساÙħ",
+      "Ġس اÙħ",
+      "çݯ å¢ĥ",
+      "ĠاÙĦ ÙħÙĨت",
+      "ĠاÙĦÙħ ÙĨت",
+      "ĠاÙĦÙħÙĨ ت",
+      "ĠÑģеÑĢ д",
+      "éģ ł",
+      "ε ÏĦ",
+      "Ġав ÑĤ",
+      "าà¸ĩ ว",
+      "Ġvz tah",
+      "ru ž",
+      "алÑĮ наÑı",
+      "алÑĮна Ñı",
+      "Ġطر اØŃÛĮ",
+      "à¹Ĥรà¸ĩ à¹ģรม",
+      "ĠÄį asto",
+      "ĠÄįas to",
+      "ĠÄįast o",
+      "Ġ ê¼",
+      "Ġê ¼",
+      "Ïĥ ÏĦÏĮ",
+      "ÏĥÏĦ ÏĮ",
+      "Ġbu rada",
+      "Ġbur ada",
+      "ĠÄ° z",
+      "Ġ ê·¸ëŀĺ",
+      "Ġê·¸ ëŀĺ",
+      "å² Ľ",
+      "ĠØ´ ÙĪÙĨد",
+      "ĠØ´ÙĪ ÙĨد",
+      "Å¡ ek",
+      "Å¡e k",
+      "Ġ ìĿ´ìķ¼",
+      "ĠìĿ´ ìķ¼",
+      "ãĤĮ ãģªãģĦ",
+      "ê· ¹",
+      "la mÄ±ÅŁ",
+      "lam Ä±ÅŁ",
+      "ä» į",
+      "cház et",
+      "cháze t",
+      "Ġ ÑģÑĥÑĤ",
+      "ĠÑģ ÑĥÑĤ",
+      "ĠÑģÑĥ ÑĤ",
+      "æĹł æ³ķ",
+      "æµ ¦",
+      "ÄĽ la",
+      "ÄĽl a",
+      "à¹ĥà¸Ļ à¸Ĭ",
+      "Ġc ân",
+      "Ġcâ n",
+      "ÎŁ Îĵ",
+      "ÎŁÎ ĵ",
+      "Ġz vý",
+      "Ġzv ý",
+      "ĠÙ¾ ار",
+      "Ġپا ر",
+      "Ġк лÑĸ",
+      "Ġкл Ñĸ",
+      "Ġn ové",
+      "Ġno vé",
+      "Ġnov é",
+      "çĶ ĺ",
+      "ë¹ ł",
+      "m á",
+      "Ġ Ñģол",
+      "ĠÑģ ол",
+      "ĠÑģо л",
+      "à¤ķ रण",
+      "à¤ķर ण",
+      "н оÑĩ",
+      "но Ñĩ",
+      "Ġ fik",
+      "Ġf ik",
+      "Ġfi k",
+      "Ġà¤ľ à¤Ĺ",
+      "à¹ĩ à¸Ļà¸ķ",
+      "à¹ĩà¸Ļ à¸ķ",
+      "ĠÙħ تØŃ",
+      "ĠÙħت ØŃ",
+      "Ġph iên",
+      "Ġphi ên",
+      "Ġol sun",
+      "Ġк аб",
+      "Ġка б",
+      "Ġh út",
+      "èĦ ±",
+      "Ġ åĸ",
+      "Ġå ĸ",
+      "ĠH ải",
+      "Ġ tÄĽÅ¾",
+      "Ġt ÄĽÅ¾",
+      "ĠtÄĽ ž",
+      "Ġth ái",
+      "Ġ تاب",
+      "Ġت اب",
+      "Ġتا ب",
+      "- ÐŁ",
+      "ث ار",
+      "çĨ Ĭ",
+      "Ġ ними",
+      "Ġн ими",
+      "Ġни ми",
+      "Ġним и",
+      "Ġzp rac",
+      "Ġत ह",
+      "Ġм акÑģим",
+      "Ġмак Ñģим",
+      "m eyi",
+      "me yi",
+      "mey i",
+      "ĠÑģ оÑĨи",
+      "ĠÑģо ÑĨи",
+      "æ² Ĵ",
+      "ĠìķĬ ëĬĶ",
+      "＿ _",
+      "åķ ¦",
+      "ĠاÙĨ ÙĪاع",
+      "æļ ´",
+      "ä¸Ĭ æµ·",
+      "åħ· æľī",
+      "à¥ģ ब",
+      "à¥ģठ¬",
+      "ìķ Ļ",
+      "Ġíģ °",
+      "Ġíŀ ĺ",
+      "Ġtr ánh",
+      "ि यन",
+      "िय न",
+      "ãģ¾ ãģ¾",
+      "п оÑĩ",
+      "по Ñĩ",
+      "m ÄĽr",
+      "mÄĽ r",
+      "å³ °",
+      "ĠÙħ صر",
+      "ĠÙħص ر",
+      "ĠÑįÑĦ ÑĦекÑĤив",
+      "ĠÑįÑĦÑĦек ÑĤив",
+      "Ġ çı",
+      "Ġç ı",
+      "ler iyle",
+      "leri yle",
+      "âĪ ļ",
+      "Ġ ì¶ķ",
+      "Ġì¶ ķ",
+      "Ġ ê²Įìĭľ",
+      "Ġê²Į ìĭľ",
+      "ìĿ ij",
+      "Ġ poÅĻád",
+      "Ġpo ÅĻád",
+      "Ġشب Ú©Ùĩ",
+      "اÙĩ Ø´",
+      "ĠخدÙħ ات",
+      "Ġna Å¡e",
+      "ĠnaÅ¡ e",
+      "ν οÏį",
+      "νο Ïį",
+      "Ġyön elik",
+      "Ġk ork",
+      "Ġko rk",
+      "Ġkor k",
+      "ا ÙĩÙħ",
+      "اÙĩ Ùħ",
+      "è° Ī",
+      "Ġ μη",
+      "Ġμ η",
+      "Ġd olar",
+      "Ġdo lar",
+      "Ġdol ar",
+      "çµ ¦",
+      "ĠÎķ Ïħ",
+      "Ġobdob ÃŃ",
+      "Ġ μÏĮ",
+      "Ġμ ÏĮ",
+      "à¹Ģ à¸Ńà¸ģ",
+      "à¹Ģà¸Ń à¸ģ",
+      "Ġپاس Ø®",
+      "è¡ ¥",
+      "ا عد",
+      "اع د",
+      "ãĤī ãģĦ",
+      "ÎŃ Î»",
+      "и ÑĤÑĭ",
+      "иÑĤ Ñĭ",
+      "Ġ ëħ¼",
+      "Ġëħ ¼",
+      "Ġ^{ [",
+      "ί γ",
+      "æł ij",
+      "l ında",
+      "lı nda",
+      "ĠìŬ 룬",
+      "£ £",
+      "ÅĻ il",
+      "ÅĻi l",
+      "Ġав ÑĤоÑĢ",
+      "ĠавÑĤ оÑĢ",
+      "ÏĦ ικÏĮÏĤ",
+      "ÏĦικ ÏĮÏĤ",
+      "ÏĦικÏĮ ÏĤ",
+      "u dur",
+      "ud ur",
+      "udu r",
+      "Ġc Æ°",
+      "Ġk ıy",
+      "Ġkı y",
+      "Ñģ ем",
+      "Ñģе м",
+      "ĠØ£ بÙĪ",
+      "Ġأب ÙĪ",
+      "ÏĦ ικÏİν",
+      "ÏĦικ Ïİν",
+      "Û± Û·",
+      "Û±Û ·",
+      "è² ¸",
+      "Ġп ÑĢож",
+      "ĠпÑĢ ож",
+      "ĠпÑĢо ж",
+      "ün cü",
+      "Ġ нÑĸÑĩ",
+      "Ġн ÑĸÑĩ",
+      "ĠнÑĸ Ñĩ",
+      "Ġ मत",
+      "Ġम त",
+      "ãģķ ãĤĮãģ¦ãģĦãĤĭ",
+      "ãģķãĤĮ ãģ¦ãģĦãĤĭ",
+      "ãģķãĤĮãģ¦ ãģĦãĤĭ",
+      "ا صر",
+      "اص ر",
+      "Ġع ÙĤ",
+      "ĠкаÑĩе ÑģÑĤве",
+      "ĠÐĵ еÑĢ",
+      "ĠÐĵе ÑĢ",
+      "åº Ĩ",
+      "Ù ¹",
+      "a larda",
+      "al arda",
+      "alar da",
+      "ĠÙ¾ رس",
+      "Ġپر س",
+      "и ÑĩеÑģкой",
+      "иÑĩеÑģ кой",
+      "Ġp him",
+      "Ġph im",
+      "Ġphi m",
+      "ί νη",
+      "ίν η",
+      "ä¸ĩ åĨĨ",
+      "i lerini",
+      "iler ini",
+      "ileri ni",
+      "ilerin i",
+      "ãĢģ 大",
+      "Ġo lsa",
+      "Ġol sa",
+      "æł¹ æį®",
+      "âĢĮ س",
+      "ĠTh ủ",
+      "r oje",
+      "ro je",
+      "roj e",
+      "нÑĮ оÑĹ",
+      "нÑĮо ÑĹ",
+      "Ġs lou",
+      "Ġsl ou",
+      "Ġslo u",
+      "ี ฬ",
+      "ıy orum",
+      "ıyor um",
+      "ÄĽ j",
+      "Ġ خبر",
+      "ĠØ® بر",
+      "è® Ĭ",
+      "Ġ 缸",
+      "ĠçĽ ¸",
+      "e lerinin",
+      "eler inin",
+      "eleri nin",
+      "elerin in",
+      "elerini n",
+      "íķĻ ëħĦëıĦ",
+      "íķĻëħĦ ëıĦ",
+      "ÑĩеÑģ кие",
+      "Ñĩе Ñģкие",
+      "ÑĩеÑģки е",
+      "ĠÅŁ ekl",
+      "ĠÅŁek l",
+      "Ġز ÙħاÙĨÛĮ",
+      "ĠزÙħاÙĨ ÛĮ",
+      "ĠزÙħ اÙĨÛĮ",
+      "Ġ xin",
+      "Ġx in",
+      "Ġxi n",
+      "ัà¸ģ à¸ĩาà¸Ļ",
+      "ĠE kim",
+      "ĠEk im",
+      "æĦ ¿",
+      "Ġод ной",
+      "Ġодно й",
+      "ν ή",
+      "æľĢ æĸ°",
+      "ĩ ¼",
+      "Ġн иж",
+      "Ġни ж",
+      "Ġ ë³¼",
+      "Ġë³ ¼",
+      "è· ij",
+      "Ġна пиÑģ",
+      "Ġнап иÑģ",
+      "èģ ĸ",
+      "Ġ âĢĮ",
+      "ĠâĢ Į",
+      "æłĩ åĩĨ",
+      "Ġv rát",
+      "Ġvr át",
+      "ĠV ì",
+      "Ġ ÙģراÙĨ",
+      "ĠÙģ راÙĨ",
+      "ĠÙģر اÙĨ",
+      "æĿ¥ çļĦ",
+      "å§ ¿",
+      "Ñħ Ñĥ",
+      "ĠبÛĮر ÙĪÙĨ",
+      "Ġд ÑĥÑĪ",
+      "ĠдÑĥ ÑĪ",
+      "в аÑİÑĤ",
+      "ва ÑİÑĤ",
+      "Ġs ebe",
+      "Ġse be",
+      "Ġseb e",
+      "é» ĺ",
+      "Ġkay ıt",
+      "Ġkayı t",
+      "Ïģ θ",
+      "ãģ¨ ãģ®",
+      "ĠпÑĢоÑĨ еÑģÑģ",
+      "ĠпÑĢоÑĨеÑģ Ñģ",
+      "æĮģ ãģ¡",
+      "Ñĸ на",
+      "Ñĸн а",
+      "Ġ ÑĤоÑĤ",
+      "ĠÑĤ оÑĤ",
+      "ĠÑĤо ÑĤ",
+      "ĠÑĤак ие",
+      "ĠÑĤа кие",
+      "The o",
+      "Th eo",
+      "ĠÙĨ ÛĮر",
+      "ĠÙĨÛĮ ر",
+      "ÑĨ Ñĥ",
+      "Ġay ak",
+      "à¸Ļ à¸Ń",
+      "Ġsit esinde",
+      "Ġsites inde",
+      "Ġsitesi nde",
+      "ĠÚ©ÙĨ ÛĮÙħ",
+      "ĠÑģ оÑħ",
+      "ĠÑģо Ñħ",
+      "Ġम à¤ľ",
+      "Ġol uyor",
+      "ç½ij åĿĢ",
+      "ĠÙ¾ زش",
+      "ĠE ylül",
+      "d Ã¼ÄŁ",
+      "dü ÄŁ",
+      "Ġبر Ø®ÛĮ",
+      "Ġبرخ ÛĮ",
+      "ĠÙħع رÙģ",
+      "Ġ obec",
+      "Ġo bec",
+      "Ġob ec",
+      "Ġobe c",
+      "ĠçalÄ±ÅŁ ma",
+      "Ġçal Ä±ÅŁma",
+      "ìĦ¼ íĦ°",
+      "ĠÑģво ÑĶ",
+      "оÑģÑĤ ей",
+      ": ::::::::::",
+      ":: :::::::::",
+      ":::: :::::::",
+      ":::::: :::::",
+      ":::::::: :::",
+      "::: ::::::::",
+      "::::: ::::::",
+      "::::::: ::::",
+      "::::::::: ::",
+      ":::::::::: :",
+      "Ġ алÑĮ",
+      "Ġа лÑĮ",
+      "Ġал ÑĮ",
+      "ç« Ł",
+      "Ġباش ÙĨد",
+      "اÙĦ Ø«",
+      "Ġнай б",
+      "Ġп ока",
+      "Ġпо ка",
+      "Ġпок а",
+      "Î ŀ",
+      "ĠÙĪ Ø¥",
+      "Ġ Ø®ÙĪاÙĨ",
+      "ĠØ® ÙĪاÙĨ",
+      "ĠØ®ÙĪ اÙĨ",
+      "à¥ģप य",
+      "Ġ à¹ĥห",
+      "ĠбÑĭ ÑģÑĤÑĢо",
+      "Ġth á»Ń",
+      "Ġthá» Ń",
+      "ëģ ¼",
+      "Ġ å¤ļ",
+      "Ġå¤ ļ",
+      "两 个",
+      "ม à¸ķ",
+      "ز ارش",
+      "زار ش",
+      "زا رش",
+      "Ġ ëŁ",
+      "Ġë Ł",
+      "य ह",
+      "Ñī ина",
+      "Ñīи на",
+      "Ñīин а",
+      "ầ ng",
+      "ần g",
+      "ï½Ĺ ï½Ĺ",
+      "à¹Ģà¸ŀ ลà¸ĩ",
+      "à¹Ģà¸ŀล à¸ĩ",
+      "tv rt",
+      "ĠÑĸн ÑĪÑĸ",
+      "ĠÑĸнÑĪ Ñĸ",
+      "λ εί",
+      "λε ί",
+      "Ġv iá»ĩn",
+      "Ġvi á»ĩn",
+      "ij ¸",
+      "Ġ çĻ½",
+      "ĠçĻ ½",
+      "Ùİ ÙĪ",
+      "Ġch ứa",
+      "Ġchứ a",
+      "st vo",
+      "ĠdoÄŁ r",
+      "Ġ iler",
+      "Ġi ler",
+      "Ġil er",
+      "Ġile r",
+      "à¥ĭ ,",
+      "à¹ĥà¸Ļ à¸Ľ",
+      "Ġر ÙĪست",
+      "ĠرÙĪ ست",
+      "ÙĪ ÙĦÙĪ",
+      "ÙĪÙĦ ÙĪ",
+      "Å¡ lo",
+      "ал иÑģÑĤ",
+      "али ÑģÑĤ",
+      "åħ± åĴĮ",
+      "à¸ŀ ย",
+      "Ġ ìĻĢ",
+      "ĠìĻ Ģ",
+      "ÙĦ ÙĬÙĦ",
+      "ÙĦÙĬ ÙĦ",
+      "ĠÑı кого",
+      "ĠÑıк ого",
+      "е ÑģÑĤÑĮ",
+      "еÑģ ÑĤÑĮ",
+      "еÑģÑĤ ÑĮ",
+      "ĠÑĦ ин",
+      "ĠØ£ ÙĨÙĩ",
+      "ĠØ£ÙĨ Ùĩ",
+      "ĠMü dür",
+      "ĠÎĶ ια",
+      "ĠÎĶι α",
+      "ĠÑĤ ел",
+      "ĠÑĤе л",
+      "ि ,",
+      "Ñĥ ки",
+      "Ñĥк и",
+      "ĠÐł Ф",
+      "ĠMay ıs",
+      "à¹Ī à¸Ńม",
+      "à¹Īà¸Ń ม",
+      "ar ken",
+      "ark en",
+      "æĢ ķ",
+      "ب ÛĮÙĨ",
+      "بÛĮ ÙĨ",
+      "ÑĤ аÑħ",
+      "ÑĤа Ñħ",
+      "e bo",
+      "eb o",
+      "ë³´ ì¦Ŀê¸Ī",
+      "ĠÙ¾ ÙĦ",
+      "Ġг Ñĥб",
+      "Ġв клÑİÑĩ",
+      "Ġвк лÑİÑĩ",
+      "æĶ¿ æ²»",
+      "Ġε ÏĢιÏĥ",
+      "ĠεÏĢ ιÏĥ",
+      "ĠεÏĢι Ïĥ",
+      "ĠÙģار سÛĮ",
+      "ĠÙģارس ÛĮ",
+      "èŃ ī",
+      "ÏĨ η",
+      "( éĩij",
+      "ศ ร",
+      "åī §",
+      "âĢĻ ya",
+      "âĢĻy a",
+      "年 度",
+      "ĠÙĨ رÙħ",
+      "Ùĥ ÙĪÙħ",
+      "ÙĥÙĪ Ùħ",
+      "è¢ ĭ",
+      "Ġneden le",
+      "à¹īà¸Ńà¸ĩ à¸ģาร",
+      "à¹īà¸Ńà¸ĩà¸ģ าร",
+      "ãĢĮ ãģĤ",
+      "Ġп оÑģÑĤÑĥп",
+      "Ġпо ÑģÑĤÑĥп",
+      "ĠпоÑģÑĤ Ñĥп",
+      "ìľĦ ìĽIJ",
+      "åį ĺ",
+      "èİ ±",
+      "Ġum ož",
+      "p ok",
+      "po k",
+      "Ñĥ ÑģÑĤи",
+      "ÑĥÑģ ÑĤи",
+      "ÑĥÑģÑĤ и",
+      "Ġ éħ",
+      "Ġé ħ",
+      "ĠÑĦ Ñĸз",
+      "å» £",
+      "ิ หาร",
+      "Ġж ÑĥÑĢн",
+      "ĠдÑĸÑĤ ей",
+      "Ñĥ ÑİÑīие",
+      "ÑĥÑİ Ñīие",
+      "ÑĥÑİÑī ие",
+      "ä»Ĭ 天",
+      "ìĿ´ ëĿ¼ê³ł",
+      "ìĿ´ëĿ¼ ê³ł",
+      "ç² ī",
+      "èĴ Ļ",
+      "ĠDün ya",
+      "ĠDüny a",
+      "егод нÑı",
+      "Ġm imo",
+      "Ġmi mo",
+      "Ġmim o",
+      "Ġ вин",
+      "Ġв ин",
+      "Ġви н",
+      "ãģĿ ãģĵ",
+      "æ¯ ķ",
+      "ĠØ£ Ø®",
+      "Ġ åIJĮ",
+      "ĠåIJ Į",
+      "س اÙĨÛĮ",
+      "ساÙĨ ÛĮ",
+      "Ġ kah",
+      "Ġk ah",
+      "Ġka h",
+      "ि यर",
+      "िय र",
+      "ÏĢ οÏĤ",
+      "ÏĢο ÏĤ",
+      "j ez",
+      "je z",
+      "ÙĬ ج",
+      "ĠsaÄŁ lay",
+      "ا جÙĩ",
+      "اج Ùĩ",
+      "Ġ çł",
+      "Ġç ł",
+      "ï ľ",
+      "Ġج ست",
+      "Ġt ức",
+      "Æ° Æ¡i",
+      "Æ°Æ¡ i",
+      "Ø´ Ùģ",
+      "ส à¸ķ",
+      "Ġ ÑĢеÑģ",
+      "ĠÑĢ еÑģ",
+      "ĠÑĢе Ñģ",
+      "Ġ å£",
+      "Ġå £",
+      "Ġbi zim",
+      "Ġbiz im",
+      "Ġbizi m",
+      "Ġ ê·Ģ",
+      "Ġê· Ģ",
+      "ि ब",
+      "िठ¬",
+      "ë¡ľ ìļ´",
+      "ĠÑģ ÑĤал",
+      "ĠÑģÑĤ ал",
+      "ĠÑģÑĤа л",
+      "Ġ ÑĢÑĥÑģ",
+      "ĠÑĢ ÑĥÑģ",
+      "ĠÑĢÑĥ Ñģ",
+      "ĠO cak",
+      "ĠOc ak",
+      "åľ £",
+      "Ġ úÄįast",
+      "Ġú Äįast",
+      "ĠúÄį ast",
+      "ive rz",
+      "iver z",
+      "ëĤĺ ëĬĶ",
+      "о ÑĢоÑĤ",
+      "оÑĢ оÑĤ",
+      "оÑĢо ÑĤ",
+      "Ñĩ инÑĭ",
+      "Ñĩи нÑĭ",
+      "Ñĩин Ñĭ",
+      "Ġihtiy aç",
+      "ÐĿ Ðŀ",
+      "ĠÐĿ ов",
+      "ĠÐĿо в",
+      "ีย à¸Ķ",
+      "ĠпоÑĤÑĢÑĸб но",
+      "گ ز",
+      "ĠÑģказ ал",
+      "ĠG ia",
+      "ĠGi a",
+      "m esini",
+      "mes ini",
+      "mesi ni",
+      "Ġbulun ur",
+      "æ¸ ¡",
+      "г оÑĤ",
+      "го ÑĤ",
+      "Ġh uku",
+      "Ġhu ku",
+      "ëĦ ·",
+      "ã Ĩ",
+      "Ġ اÙĥ",
+      "Ġا Ùĥ",
+      "Ġد ÙĦÛĮÙĦ",
+      "ĠدÙĦ ÛĮÙĦ",
+      "Ġ اساس",
+      "Ġا ساس",
+      "Ġاس اس",
+      "ìĹ° 구",
+      "ĠÎĺ ε",
+      "Ġس ÙĪر",
+      "ĠسÙĪ ر",
+      "Ġ ì¢Ģ",
+      "Ġì¢ Ģ",
+      "ĠاÙĦ در",
+      "ĠاÙĦد ر",
+      "ĠÑģÑĤÑĢо иÑĤелÑĮ",
+      "Ġ Ñĥк",
+      "ĠÑĥ к",
+      "ĠìĻ ľ",
+      "е лик",
+      "ел ик",
+      "ели к",
+      "O VID",
+      "OV ID",
+      "Ġt emiz",
+      "Ġtem iz",
+      "äº ¦",
+      "Ġth iếu",
+      "Ġthi ếu",
+      "Ġп ÑĥÑĤ",
+      "ĠпÑĥ ÑĤ",
+      "Ñİ Ñīей",
+      "ÑİÑī ей",
+      "Ġur Äį",
+      "Ġ ÄIJây",
+      "ĠÄIJ ây",
+      "æ¥ µ",
+      "μ οÏħ",
+      "μο Ïħ",
+      "Ġ à¹Ģà¸Ļ",
+      "Ġà¹Ģ à¸Ļ",
+      "Ġà¹ĢภĻ",
+      "е веÑĢ",
+      "ев еÑĢ",
+      "Âł ÐĶ",
+      "ì ´Ŀ",
+      "ì´ Ŀ",
+      "è¶ £",
+      "Ġà¤ħ लà¤Ĺ",
+      "Ġà¤ħल à¤Ĺ",
+      "Æ°á»Ŀ n",
+      "Ġ ãĥŃ",
+      "Ġãĥ Ń",
+      "Ġ ê³³",
+      "Ġê³ ³",
+      "é² ģ",
+      "Ġرس ÛĮد",
+      "身 ä½ĵ",
+      "ั à¸ĵà¸ij",
+      "y nÃŃ",
+      "yn ÃŃ",
+      "ج ات",
+      "جا ت",
+      "ì§Ģ 를",
+      "न ल",
+      "ì ķĮ",
+      "ìķ Į",
+      "Ñĸ п",
+      "Ġv Ãłng",
+      "ĠvÃł ng",
+      "Ġпл оÑī",
+      "Ġпло Ñī",
+      "оз мож",
+      "åī ²",
+      "Ġth ảo",
+      "л ади",
+      "ла ди",
+      "лад и",
+      "Ġ åĿ",
+      "Ġå Ŀ",
+      "ĠÐľ и",
+      "Ġдел аÑĤÑĮ",
+      "Ġдела ÑĤÑĮ",
+      "é ij",
+      "Ġh uy",
+      "Ġhu y",
+      "ا ÛĮØ·",
+      "اÛĮ Ø·",
+      "Ġпов ÑĤоÑĢ",
+      "ü len",
+      "ül en",
+      "üle n",
+      "Ġ ÙĪÙģ",
+      "ĠÙĪ Ùģ",
+      "ĠÙĬ تÙħ",
+      "ĠÙĬت Ùħ",
+      "ĠÑĢеж им",
+      "Ġ ìºIJ",
+      "Ġìº IJ",
+      "ĠÃĩ ünkü",
+      "ع دد",
+      "عد د",
+      "ни веÑĢ",
+      "нив еÑĢ",
+      "ĠÐĿ ик",
+      "å¸ ĸ",
+      "Ïį ÏĢ",
+      "an lar",
+      "س تÛĮ",
+      "ست ÛĮ",
+      "Ġbulun maktadır",
+      "à¹ģ à¸ļ",
+      "v ek",
+      "ve k",
+      "Ġгла за",
+      "Ġглаз а",
+      "å¹ ħ",
+      "Ġúda j",
+      "Ġг ÑĢо",
+      "ĠгÑĢ о",
+      "Ġкон кÑĥÑĢ",
+      "Ġd ůležit",
+      "Ġdů ležit",
+      "Ġ Ø·ÙĪر",
+      "ĠØ· ÙĪر",
+      "à¸ĺ าà¸Ļ",
+      "ĠÙĦ ÙĥÙĨ",
+      "ĠÙĦÙĥ ÙĨ",
+      "ر ÙĤ",
+      "Ðļ ÐIJ",
+      "Ġ éĿĴ",
+      "ĠéĿ Ĵ",
+      "Ġ ìĤ¬ëŀij",
+      "ĠìĤ¬ ëŀij",
+      "ĠÑħ воÑĢ",
+      "ĠÑħв оÑĢ",
+      "s unuz",
+      "sun uz",
+      "ĠÙħØ´ خص",
+      "éĻ ¸",
+      "Ġ ढ",
+      "Ġठ¢",
+      "Ġv az",
+      "Ġva z",
+      "交 æĺĵ",
+      "ĠÑĤеÑĢ ÑĢиÑĤ",
+      "ÑĩеÑģ кой",
+      "Ñĩе Ñģкой",
+      "ี à¹Ĥ",
+      "rop oda",
+      "ıl dıģı",
+      "ıldı ģı",
+      "Ġ ëī´",
+      "Ġë ī´",
+      "íķĻ 기",
+      "ë³´ íĹĺ",
+      "Ġз аÑĤем",
+      "ĠзаÑĤ ем",
+      "Âł в",
+      "ãĥ¼ ãĥĨ",
+      "ãĥ¼ãĥ Ĩ",
+      "Ġ ÐŀÑģнов",
+      "ĠÐŀÑģ нов",
+      "ãĨ į",
+      "Ġد ع",
+      "ÐŁ оÑģ",
+      "ÐŁÐ¾ Ñģ",
+      "æ² ī",
+      "Ġ лож",
+      "Ġл ож",
+      "çĶµ åŃIJ",
+      "Ġ رد",
+      "Ġر د",
+      "ĠÑģ ÑĢазÑĥ",
+      "e jte",
+      "ej te",
+      "Ġà¤ij फ",
+      "Ġt Ãłu",
+      "ÃŃ k",
+      "lan ması",
+      "lanma sı",
+      "к аÑĤ",
+      "ка ÑĤ",
+      "าà¸ģ าศ",
+      "ãĤ¢ ãĤ¤",
+      "ÏĦ ιο",
+      "ÏĦι ο",
+      "Ġ å§",
+      "Ġå §",
+      "प त",
+      "E Y",
+      "Ġj mé",
+      "Ġjm é",
+      "Ġod kazy",
+      "Ġê°ľ ìĿ¸",
+      "éģ ¿",
+      "bÄĽ h",
+      "Ðł Ðŀ",
+      "çĥ Ī",
+      "Ġza rar",
+      "Ġzar ar",
+      "Ú¯ ÙĪÙĨÙĩ",
+      "Ú¯ÙĪ ÙĨÙĩ",
+      "Ġtr ì",
+      "Ġm ại",
+      "ен нÑĭм",
+      "ĠÑį коном",
+      "ĠÑįк оном",
+      "éĽ £",
+      "Ġ íĦ",
+      "Ġí Ħ",
+      "æİ ī",
+      "Ġs oru",
+      "Ġso ru",
+      "Ġsor u",
+      "ĠФедеÑĢа ÑĨии",
+      "ĠÑģиÑģÑĤем и",
+      "æĸĻ çĦ¡æĸĻ",
+      "Ġà¤ķ à¤Ń",
+      "ĠÙĩ ÙĨد",
+      "ĠÙĩÙĨ د",
+      "ุà¸ĩ à¹Ģà¸Ĺà¸ŀ",
+      "ĠOsman lı",
+      "ĠпÑĢод олж",
+      "Ġ ÙĪÙĦا",
+      "ĠÙĪ ÙĦا",
+      "ĠÙĪÙĦ ا",
+      "ĠÄįlán ku",
+      "Ġa dım",
+      "Ġad ım",
+      "Ġadı m",
+      "ĠÏĢ αÏģά",
+      "ĠÏĢαÏģ ά",
+      "ĠÏĢα Ïģά",
+      "Ġzá ÅĻÃŃ",
+      "Ġ à¸Īำà¸ģ",
+      "Ġà¸Īำ à¸ģ",
+      "Ġп ен",
+      "m enin",
+      "me nin",
+      "men in",
+      "meni n",
+      "Ġìĺ¤ ëĬĺ",
+      "em iz",
+      "emi z",
+      "οÏį ÏĤ",
+      "- स",
+      "íķĺ ìĭľ",
+      "ĠÑħ ви",
+      "ĠÑħв и",
+      "ãĤ° ãĥ©",
+      "Ġп оÑĪ",
+      "Ġпо ÑĪ",
+      "ĠÐŀдна ко",
+      "ĠÐŀднак о",
+      "Ñĸд но",
+      "íĺ ľ",
+      "Ñī ими",
+      "Ñīи ми",
+      "Ñīим и",
+      "èĥ ¸",
+      "ĠÄ° lk",
+      "ĠÄ°l k",
+      "m ey",
+      "me y",
+      "Ġз да",
+      "Ġзд а",
+      "κ λη",
+      "а лом",
+      "ал ом",
+      "ало м",
+      "à¹Ģศ ษ",
+      "ا ÙĨا",
+      "اÙĨ ا",
+      "Ġ ÎŁÎ¹",
+      "ĠÎŁ ι",
+      "Ġ åıĮ",
+      "Ġåı Į",
+      "ี à¸Ĥ",
+      "Ġ بس",
+      "Ġب س",
+      "è§Ħ å®ļ",
+      "i say",
+      "is ay",
+      "isa y",
+      "uk arı",
+      "uka rı",
+      "æµģ éĩı",
+      "v ÃŃm",
+      "vÃŃ m",
+      "λ Ïİ",
+      "ä¹ Ļ",
+      "Ġल ड",
+      "ĠÙĨد ارد",
+      "ĠÙĨدار د",
+      "е ÑĢом",
+      "еÑĢ ом",
+      "еÑĢо м",
+      "Ġsır asında",
+      "Ġsıras ında",
+      "Ġsıra sında",
+      "Ġr Äĥng",
+      "Æ¡ m",
+      "Ġl ạnh",
+      "Ġlạ nh",
+      "ठĥ",
+      "à¥ģ ण",
+      "à¥ģठ£",
+      "uz ey",
+      "uze y",
+      "Ġ Ñĥва",
+      "ĠÑĥ ва",
+      "ĠÑĥв а",
+      "vÄĽ d",
+      "Ñĭ Ñģ",
+      "Ġ κι",
+      "Ġκ ι",
+      "Ñ ķ",
+      "ÛĮ ا",
+      "à¸ĩ à¸Ħ",
+      "ph ylum",
+      "phy lum",
+      "phyl um",
+      "Ġber aber",
+      "ี à¸Ķ",
+      "æµ ®",
+      "ा सन",
+      "ास न",
+      "o vice",
+      "ov ice",
+      "ovic e",
+      "ovi ce",
+      "è¦ §",
+      "Ġस फ",
+      "å°ij 女",
+      "ан ÑĤи",
+      "анÑĤ и",
+      "é¨ ĵ",
+      "Ġso át",
+      "é¬ ¼",
+      "lan mÄ±ÅŁ",
+      "Ġb ếp",
+      "ÙIJ ÙĦ",
+      "Ġsay ısı",
+      "Ġsayı sı",
+      "ĠÙĤ دÙħ",
+      "ĠÙĤد Ùħ",
+      "à¥Ī म",
+      "ह म",
+      "ĠÑĢ Ñĥки",
+      "ĠÑĢÑĥ ки",
+      "ĠÑĢÑĥк и",
+      "ĠصÙģ ØŃÙĩ",
+      "Å¡ ky",
+      "Å¡k y",
+      "é» Ĵ",
+      "èģ ļ",
+      "ãģĭ ãģ«",
+      "Ġs âu",
+      "ед аг",
+      "ĠÑģÑĤоÑĢ онÑĭ",
+      "ĠÑģÑĤоÑĢон Ñĭ",
+      "Ġ ruk",
+      "Ġr uk",
+      "Ġru k",
+      "âĢĮ âĢĮ",
+      "ĠØ¢ ÙĪر",
+      "Ġع دÙħ",
+      "Ġعد Ùħ",
+      "õ i",
+      "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "Ġبا زار",
+      "Ġباز ار",
+      "Ġe deb",
+      "Ġed eb",
+      "Ġv ÄįetnÄĽ",
+      "оп аÑģ",
+      "Ġн ег",
+      "Ġне г",
+      "m ayan",
+      "ma yan",
+      "may an",
+      "maya n",
+      "к оÑģÑĤÑĮ",
+      "ко ÑģÑĤÑĮ",
+      "Ġsv ůj",
+      "ģ ında",
+      "ģı nda",
+      "ģın da",
+      "Ø° ÛĮر",
+      "M á»Ļt",
+      "Ð Ħ",
+      "Ġyap tı",
+      "ि थ",
+      "िठ¥",
+      "ĠÙħ Ùĩر",
+      "ĠÙħÙĩ ر",
+      "Ġд оÑģÑĤи",
+      "Ġдо ÑģÑĤи",
+      "ĠдоÑģÑĤ и",
+      "ĠдоÑģ ÑĤи",
+      "Ġ صÙĪر",
+      "Ġص ÙĪر",
+      "m esine",
+      "mes ine",
+      "mesi ne",
+      "ĠD ân",
+      "ä¸Ģ ä¸ĭ",
+      "çį İ",
+      "ĠÐľ иÑħ",
+      "ĠÐľÐ¸ Ñħ",
+      "Ġо Ñĩи",
+      "ĠоÑĩ и",
+      "ãĤ¦ ãĤ§",
+      "Ġ ÑĸÑģ",
+      "ĠÑĸ Ñģ",
+      "Ġgi ác",
+      "Ġgiá c",
+      "åľ¨çº¿ è§Ĥçľĭ",
+      "Ġاد اÙħÙĩ",
+      "ÑĨ ов",
+      "ÑĨо в",
+      "Ġ комÑĥ",
+      "Ġк омÑĥ",
+      "Ġком Ñĥ",
+      "Ġко мÑĥ",
+      "ĠÄ°ng iliz",
+      "Ġг ÑĢаж",
+      "ĠгÑĢа ж",
+      "ĠгÑĢ аж",
+      "ãģ¦ ãĤĤ",
+      "Ġch ữ",
+      "олÑĮ кÑĥ",
+      "m ÄĽt",
+      "mÄĽ t",
+      "Ñıг ом",
+      "Ñĩ аÑģÑĤ",
+      "Ñĩа ÑģÑĤ",
+      "ÑĩаÑģ ÑĤ",
+      "ìĸ ¼",
+      "Ġkh óa",
+      "Ġkhó a",
+      "ĠÐIJ д",
+      "ĠØ¢ ÙĤ",
+      "Ġkurul uÅŁ",
+      "ά ζ",
+      "Ġж ов",
+      "Ġв ÑģÑĤÑĢе",
+      "ĠвÑģÑĤ ÑĢе",
+      "ĠÙĪ ÙĦÙĥ",
+      "ĠÙĪÙĦ Ùĥ",
+      "Ġt uyá»ĩt",
+      "y ı",
+      "Ġ ÐĴо",
+      "ĠÐĴ о",
+      "Ġv á»įng",
+      "Ġvá» įng",
+      "ع ÙĬØ©",
+      "عÙĬ Ø©",
+      "Ġop ÄĽt",
+      "ا ÙĬد",
+      "اÙĬ د",
+      "à¥Ī .Ċ",
+      "à¥Ī. Ċ",
+      "ĠÑģ ами",
+      "ĠÑģам и",
+      "åª Ĵ",
+      "Ġsv ých",
+      "ĠëĤĺ íĥĢ",
+      "ìĨ IJ",
+      "Ġ ÙĦع",
+      "ĠÙĦ ع",
+      "Ġet kin",
+      "Ġetk in",
+      "Ġetki n",
+      "ĠN á",
+      "Ġsou tÄĽ",
+      "Ġsout ÄĽ",
+      "층 ìĿĺ",
+      "Ġ çŃī",
+      "ĠçŃ ī",
+      "Ġر سÙħ",
+      "Ġرس Ùħ",
+      "Ġ خاÙĨÙĩ",
+      "ĠØ® اÙĨÙĩ",
+      "ĠخاÙĨ Ùĩ",
+      "Ġ 家",
+      "Ġå® ¶",
+      "iá» ģm",
+      "iá»ģ m",
+      "ëħ IJ",
+      "ê° Ī",
+      "ì° ©",
+      "ž il",
+      "ži l",
+      "ÑģÑĤиÑĤ ÑĥÑĤ",
+      "ÑģÑĤиÑĤÑĥ ÑĤ",
+      "or uÄį",
+      "oru Äį",
+      "ĠØ¥ ذا",
+      "Ġإذ ا",
+      "à¹Ħ à¸Ĥ",
+      "ี à¸Ĭ",
+      "ÑĢ аб",
+      "ÑĢаР±",
+      "ÑĢа б",
+      "íķĻ ìĥĿ",
+      "Ġ ìī",
+      "Ġì ī",
+      "r nek",
+      "rn ek",
+      "rne k",
+      "Ġاست خداÙħ",
+      "ãĢĢ ĠãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢĠãĢĢ ĠãĢĢĠãĢĢ",
+      "ãĢĢĠãĢĢĠãĢĢ ĠãĢĢ",
+      "ãĢĢĠ ãĢĢĠãĢĢĠãĢĢ",
+      "Ġв Ñģем",
+      "ĠвÑģ ем",
+      "ĠвÑģе м",
+      "Ġìłķ ëıĦ",
+      "Ġvy j",
+      "éĢ ±",
+      "алÑĮ ное",
+      "алÑĮно е",
+      "Ġch uyá»ĩn",
+      "ì§Ģ ìĽIJ",
+      "i lerine",
+      "ile rine",
+      "iler ine",
+      "ileri ne",
+      "ilerin e",
+      "ĠìķĦ 무",
+      "Ġок оло",
+      "ाव न",
+      "à¸Ļ า",
+      "о пÑĢи",
+      "оп ÑĢи",
+      "d rž",
+      "dr ž",
+      "ĠÑģÑĥ ÑģпÑĸлÑĮ",
+      "Ġب Ùĥ",
+      "u ky",
+      "uk y",
+      "Ġ ÏĩÏī",
+      "ĠÏĩ Ïī",
+      "Ġtu ần",
+      "nict vÃŃ",
+      "Ġ ÙĩدÙģ",
+      "ĠÙĩد Ùģ",
+      "Ġch iá»ģu",
+      "ÎĹ ÎĿ",
+      "å°ı å§IJ",
+      "íķĺ ìĺĢ",
+      "Ġk las",
+      "Ġkl as",
+      "Ġkla s",
+      "á»Ļ n",
+      "ĠìĿ´ íĽĦ",
+      "ÙĨ اÙħج",
+      "ÙĨا Ùħج",
+      "ÙĨاÙħ ج",
+      "Äį ast",
+      "Äįas t",
+      "ĠاÙĦ خاص",
+      "ĠاÙĦØ® اص",
+      "l Ä±ÅŁ",
+      "lı ÅŁ",
+      "Ġع Ùħر",
+      "ĠعÙħ ر",
+      "ãĢį Ċ",
+      "иб олее",
+      "ãĤĬ ãģ®",
+      "ãħ ł",
+      "ä¹Ł ä¸į",
+      "к ÑĢеÑĤ",
+      "Ġ ìĶ",
+      "Ġì Ķ",
+      "ÏĦ ια",
+      "ÏĦι α",
+      "ĠÑĥпÑĢав лÑĸннÑı",
+      "æ² ¢",
+      "Ġk esin",
+      "Ġke sin",
+      "Ġkes in",
+      "ì¡Į ëĭ¤",
+      "머 ëĭĪ",
+      "羣 çļĦ",
+      "Ġbak ım",
+      "æĿ± 京",
+      "¾ ¸",
+      "ÙħÙĦ ÙĥØ©",
+      "оÑĤ ÑĢеб",
+      "d ın",
+      "dı n",
+      "Ġ PÅĻi",
+      "ĠP ÅĻi",
+      "ĠPÅĻ i",
+      "Ġm ÄĽli",
+      "ĠmÄĽ li",
+      "ĠmÄĽl i",
+      "Ġδη μο",
+      "å ¯¸",
+      "å¯ ¸",
+      "ĠÙĪ ÙĥاÙĨ",
+      "ĠÙĪÙĥ اÙĨ",
+      "Ġप ढ",
+      "ĠвеÑĢ Ñħ",
+      "Ġе Ñij",
+      "C ách",
+      "Các h",
+      "ä½ľ 为",
+      "ĠÐļ ол",
+      "ĠÐļо л",
+      "Ġ ве",
+      "Ġв е",
+      "Ġ деÑĢж",
+      "Ġд еÑĢж",
+      "ĠдеÑĢ ж",
+      "em oc",
+      "emo c",
+      "ãģ¸ ãģ®",
+      "Ġ аÑĢÑħ",
+      "ĠаÑĢ Ñħ",
+      "Ġk iếm",
+      "Ġ æĺİ",
+      "Ġæĺ İ",
+      "ĠлÑİд ини",
+      "ĠлÑİди ни",
+      "ë ·",
+      "ĠÙĪ اÙĦت",
+      "ĠÙĪاÙĦ ت",
+      "ĠÙĪا ÙĦت",
+      "Ġ è°",
+      "Ġè °",
+      "çģ ¯",
+      "íĻ ķ",
+      "Ġ구 매",
+      "Ġ ç§ij",
+      "Ġç§ ij",
+      "it nÃŃ",
+      "и ÑĩеÑģкие",
+      "иÑĩеÑģ кие",
+      "иÑĩеÑģки е",
+      "ĠÙĨ Ùģس",
+      "ĠÙĨÙģ س",
+      "Ġت ÙĦÙģ",
+      "ĠتÙĦ Ùģ",
+      "ا ÙģÛĮ",
+      "اÙģ ÛĮ",
+      "ĠØŃ Ø³ÙĨ",
+      "ĠØŃس ÙĨ",
+      "âĸ¡ âĸ¡",
+      "ý vá",
+      "ýv á",
+      "ģ ın",
+      "ģı n",
+      "ıyor uz",
+      "ĠCh ÃŃ",
+      "ĠÙ¾ÚĺÙĪÙĩ Ø´",
+      "Ġ ÏĦÎŃ",
+      "ĠÏĦ ÎŃ",
+      "ĠÏĥ Ïĩε",
+      "ĠÏĥÏĩ ε",
+      "о леÑĤ",
+      "ол еÑĤ",
+      "α ιδ",
+      "αι δ",
+      "Ġh ạt",
+      "Ġhạ t",
+      "à¸ł าà¸Ħ",
+      "åĨ °",
+      "Ġrych le",
+      "it eli",
+      "ite li",
+      "itel i",
+      "Âł z",
+      "ย à¸ģ",
+      "æ¨ ¹",
+      "Ġج ÙĪاÙĨ",
+      "ĠجÙĪ اÙĨ",
+      "æĺ Į",
+      "Ġü retim",
+      "Ġür etim",
+      "Ġüret im",
+      "ระ à¸ļ",
+      "à¸Ľà¸£à¸° ม",
+      "ά Ïĥ",
+      "å² ©",
+      "ĠÑĥ ÑģÑĤÑĢой",
+      "ĠÑĥÑģÑĤ ÑĢой",
+      "Ġver ilen",
+      "Ġveri len",
+      "ich ni",
+      "ĠpÅĻÃŃ mo",
+      "ĠpÅĻÃŃm o",
+      "ĠاÙĦØ°Ùĩ اب",
+      "ì½ ľ",
+      "æľ ±",
+      "Ġس Ø®",
+      "Ñĸ ла",
+      "Ñĸл а",
+      "Ñĥ ма",
+      "Ñĥм а",
+      "ห า",
+      "ÛĮ دا",
+      "ÛĮد ا",
+      "å² ¸",
+      "ä¸Ģ å®ļ",
+      "Ġ ä¼ļ",
+      "Ġ ÐŁÑĸд",
+      "ĠÐŁ Ñĸд",
+      "Ġ ÑĩиÑĤ",
+      "ĠÑĩ иÑĤ",
+      "ĠÑĩи ÑĤ",
+      "и Ñİ",
+      "Ġ ÐĹап",
+      "ĠÐĹ Ð°Ð¿",
+      "ĠÐĹа п",
+      "ÑĤ иÑı",
+      "ÑĤи Ñı",
+      "Ġ ê°ľë°ľ",
+      "Ġê°ľ ë°ľ",
+      "ĠÑĤе оÑĢ",
+      "Ñı ÑģÑĮ",
+      "ÑıÑģ ÑĮ",
+      "ĠpÅĻÃŃ prav",
+      "( åľŁ",
+      "Ùħ ÙĬ",
+      "ĠpÅĻed evÅ¡ÃŃm",
+      "ĠTem muz",
+      "Ġпод деÑĢж",
+      "Ġнед оÑģÑĤаÑĤ",
+      "ĠìĿ´ ìľł",
+      "Ġkhá»ı i",
+      "ĠاÙĦ تØŃ",
+      "ĠاÙĦت ØŃ",
+      "ĠÙħÙħ Ú©ÙĨ",
+      "Ġv hod",
+      "Ġvh od",
+      "ев ой",
+      "ево й",
+      "о вал",
+      "ов ал",
+      "ова л",
+      "Ġн алеж",
+      "Ġна леж",
+      "Ġнал еж",
+      "ï¼¼ :",
+      "ย ะ",
+      "ĠÙħ اشÛĮÙĨ",
+      "Ġg á»Ńi",
+      "al ım",
+      "alı m",
+      "Ġìµľ ìłĢ",
+      "Ùij Ùĩ",
+      "á»Ļ p",
+      "à¥Ģ ।Ċ",
+      "à¥Ģ। Ċ",
+      "Ġ пиÑģ",
+      "Ġп иÑģ",
+      "Ġпи Ñģ",
+      "Ġ вÑģÑı",
+      "Ġв ÑģÑı",
+      "ĠвÑģ Ñı",
+      "Ñĩ ем",
+      "Ñĩе м",
+      "o zenÃŃ",
+      "oz enÃŃ",
+      "oze nÃŃ",
+      "Ġ äºļæ´²",
+      "Ġäºļ æ´²",
+      "е ÑĢалÑĮ",
+      "еÑĢ алÑĮ",
+      "еÑĢа лÑĮ",
+      "기 ëĬĶ",
+      "Ġп ÑĢез",
+      "ĠпÑĢ ез",
+      "ĠпÑĢе з",
+      "ĠعÙħ ÙĪÙħÛĮ",
+      "и ÑĩниÑħ",
+      "иÑĩ ниÑħ",
+      "Ġ æ²³",
+      "Ġæ² ³",
+      "od nÃŃ",
+      "åıª æĺ¯",
+      "Ġpo dp",
+      "Ġpod p",
+      "à¹īà¸Ńà¸ĩ à¸ŀ",
+      "ाय द",
+      "ाà¤ĩ ल",
+      "ล à¸Ķ",
+      "ĠÑĢÑĸÑĪ еннÑı",
+      "Ġ ÑĤÑĥÑĢ",
+      "ĠÑĤ ÑĥÑĢ",
+      "ĠÑĤÑĥ ÑĢ",
+      "ÑģÑĮ кÑĥ",
+      "ÑģÑĮк Ñĥ",
+      "Ġsal dır",
+      "ĠÐĽ ÑĮв",
+      "ãĢģ Ċ",
+      "ĠÙ¾ÛĮ ÙĪÙĨد",
+      "åѦ ä¹ł",
+      "λ Ïī",
+      "o vit",
+      "ov it",
+      "ovi t",
+      "ü le",
+      "ül e",
+      "女 æĢ§",
+      "Â Ł",
+      "e mez",
+      "em ez",
+      "eme z",
+      "Ġh ale",
+      "Ġha le",
+      "Ġhal e",
+      "âī ¦",
+      "ĠÎķ κ",
+      "ÏĦηγοÏģ ία",
+      "k ý",
+      "ìĦ± ìĿĦ",
+      "Ġt ým",
+      "Ġtý m",
+      "à¥ĩ -",
+      "Ġz ejména",
+      "æĻ ¶",
+      "Ġn gon",
+      "Ġng on",
+      "ãĢı ĊĊ",
+      "软 件",
+      "éĤ£ ä¹Ī",
+      "ĠкваÑĢ ÑĤи",
+      "ĠÙħÙĨ ظ",
+      "on ec",
+      "one c",
+      "Ġг ли",
+      "à¥ģर à¤ķ",
+      "ĠS okol",
+      "ĠSo kol",
+      "ĠSok ol",
+      "Ġ ä¿Ŀ",
+      "д ив",
+      "ди в",
+      "ál nÃŃm",
+      "áln ÃŃm",
+      "álnÃŃ m",
+      "ac aģı",
+      "aca ģı",
+      "acaģ ı",
+      "a ÅŁa",
+      "aÅŁ a",
+      "ĠÙħ اÙĦÛĮ",
+      "ĠÙħا ÙĦÛĮ",
+      "ĠÙħاÙĦ ÛĮ",
+      "ĠÃĸ n",
+      "иÑĤ ели",
+      "иÑĤе ли",
+      "ĠØ® رد",
+      "Ġخر د",
+      "Ġkullan ıl",
+      "Ġkullanı l",
+      "Ġ ÙħÛĮÙĦ",
+      "ĠÙħ ÛĮÙĦ",
+      "ĠÙħÛĮ ÙĦ",
+      "Ġ íļ¨",
+      "Ġíļ ¨",
+      "ã n",
+      "Ġ rost",
+      "Ġr ost",
+      "Ġro st",
+      "Ġros t",
+      "Ġëĸ ł",
+      "u bat",
+      "ub at",
+      "uba t",
+      "Ġ åıĤ",
+      "Ġåı Ĥ",
+      "Ġبر اÙĬ",
+      "Ġм енÑĮ",
+      "Ġмен ÑĮ",
+      "ั à¸Ħร",
+      "ัà¸Ħ ร",
+      "Ġпом ог",
+      "ĠØŃض ÙĪر",
+      "Ġthá»ĭ t",
+      "ä¹ ³",
+      "Ġ ìĭłì²Ń",
+      "Ġìĭł ì²Ń",
+      "Ġíĺ Ħìŀ¬",
+      "ĠíĺĦ ìŀ¬",
+      "Ġ ë¹ł",
+      "Ġë¹ ł",
+      "вÑĢоп ей",
+      "Ġne jen",
+      "Ġnej en",
+      "Ñĸ ка",
+      "Ñĸк а",
+      "Ġ ìļ¸",
+      "Ġìļ ¸",
+      "ĠÙħ بار",
+      "ĠÙħب ار",
+      "Ġ Äįek",
+      "ĠÄį ek",
+      "ĠÄįe k",
+      "Ġk alk",
+      "Ġka lk",
+      "Ġkal k",
+      "Ġ amac",
+      "Ġa mac",
+      "Ġam ac",
+      "Ġama c",
+      "اد ت",
+      "ĠÙħ اسÙĩ",
+      "ĠÙħا سÙĩ",
+      "Ġarasında ki",
+      "Ġaras ındaki",
+      "Ġб еÑģ",
+      "ĠоÑĤд елÑĮ",
+      "ĠоÑĤдел ÑĮ",
+      "á½ ¶",
+      "ĠΤ ζ",
+      "v yk",
+      "vy k",
+      "ج ÙĨ",
+      "» ê²Į",
+      "ĠниÑĩ его",
+      "ĠØ´ اÙħÙĦ",
+      "ĠÑĥÑģловиÑı Ñħ",
+      "la ması",
+      "lam ası",
+      "lama sı",
+      "è½ ī",
+      "ç¾ ½",
+      "Ġж ид",
+      "ĠоÑĤ ноÑģ",
+      "ĠздÑĸйÑģ нÑİ",
+      "Ġ VỼi",
+      "ĠV Ỽi",
+      "ÙĪ ÙĦÛĮ",
+      "ÙĪÙĦ ÛĮ",
+      "Ġt isÃŃ",
+      "Ġti sÃŃ",
+      "ĠÏĩ ÏģÏĮ",
+      "Ġprac ovnÃŃ",
+      "Ġpracov nÃŃ",
+      "ĠÙĬ ÙĥÙĪÙĨ",
+      "ĠÙĬÙĥ ÙĪÙĨ",
+      "Ġb eÅŁ",
+      "Ġbe ÅŁ",
+      "ج ز",
+      "ั à¸ļร",
+      "ัà¸ļ ร",
+      "ĠYön et",
+      "Ġشر اÛĮØ·",
+      "ĠتÙĪس عÙĩ",
+      "çĹ ĩ",
+      "à¸ĩ à¹Ģà¸Ľ",
+      "ä¸Ģ 次",
+      "ĠÐłÐ¾ÑģÑģий Ñģкой",
+      "æľĢ é«ĺ",
+      "Ġsp olu",
+      "Ġspo lu",
+      "Ġspol u",
+      "д аеÑĤÑģÑı",
+      "да еÑĤÑģÑı",
+      "даеÑĤ ÑģÑı",
+      "Ñĸ ÑĤÑĥ",
+      "ÑĸÑĤ Ñĥ",
+      "Ġоб ÑĢаÑĤ",
+      "ĠобÑĢа ÑĤ",
+      "e nek",
+      "en ek",
+      "ene k",
+      "Ġ mek",
+      "Ġm ek",
+      "Ġme k",
+      "å¦ Ī",
+      "Ġдоп олниÑĤелÑĮ",
+      "Ġ ç²",
+      "Ġç ²",
+      "ĠÙĦ ÙĦت",
+      "ĠÙĦÙĦ ت",
+      "ĠHaz iran",
+      "æ¸ Ī",
+      "à¹Į à¸Ĥà¸Ńà¸ĩ",
+      "ĠÑĦ он",
+      "Ġê²ĥ ìľ¼ë¡ľ",
+      "Ġnh é",
+      "Ġbu gün",
+      "Ġbug ün",
+      "ov ém",
+      "ové m",
+      "Ġза веÑĢ",
+      "Ġзав еÑĢ",
+      "Ġд виг",
+      "Ġдв иг",
+      "Ġдви г",
+      "ä¼ Ļ",
+      "Ġnu ôi",
+      "меÑĢ ик",
+      "ме ÑĢик",
+      "ĠÙĨÙħ ÙĪÙĨÙĩ",
+      "èį ·",
+      "Ñĥ вала",
+      "Ñĥв ала",
+      "Ñĥва ла",
+      "ç¿ »",
+      "Ġs ân",
+      "ог оÑİ",
+      "ого Ñİ",
+      "ا سÙĬØ©",
+      "اس ÙĬØ©",
+      "اسÙĬ Ø©",
+      "Ñĥн кÑĤ",
+      "Ñĥнк ÑĤ",
+      "á nÃŃm",
+      "án ÃŃm",
+      "ánÃŃ m",
+      "ен ное",
+      "енно е",
+      "Ġph út",
+      "Ġ मर",
+      "Ġम र",
+      "ĠاÙĦ ÙĪØ·",
+      "ĠاÙĦÙĪ Ø·",
+      "Ġлег ко",
+      "Ġ ãĢĭ",
+      "ĠãĢ ĭ",
+      "ë¡ľ ëĵľ",
+      "ĠKas ım",
+      "ÙĬ ÙĦÙĬ",
+      "ÙĬÙĦ ÙĬ",
+      "ĠbaÄŁlantı lar",
+      "ĠÑĤ ÑĢÑĥд",
+      "ĠÑĤÑĢ Ñĥд",
+      "ĠÑĤÑĢÑĥ д",
+      "Ø· Ùĩ",
+      "Ġk vůli",
+      "ÑģÑĤ оÑı",
+      "Ġsat Ä±ÅŁ",
+      "Ġh áºŃu",
+      "ĠبÙĩ ترÛĮÙĨ",
+      "ĠبÙĩتر ÛĮÙĨ",
+      "ĠÑģ елÑĮ",
+      "ĠÑģел ÑĮ",
+      "ั à¸Ļว",
+      "ัà¸Ļ ว",
+      "o su",
+      "os u",
+      "य न",
+      "åĽ ³",
+      "ι δ",
+      "ÛĮ تÛĮ",
+      "ÛĮت ÛĮ",
+      "ĠQu áºŃn",
+      "Ġ ей",
+      "Ġе й",
+      "à¹Ģว ลา",
+      "à¹Ģวล า",
+      "ìĬ¤ íĥĢ",
+      "ìĤ¬ 를",
+      "Ġا ÙĩÙĦ",
+      "ĠاÙĩ ÙĦ",
+      "η γ",
+      "Ġk á»·",
+      "Ġká» ·",
+      "Ġ наÑĤ",
+      "Ġн аÑĤ",
+      "Ġна ÑĤ",
+      "âĢ ¡",
+      "Ñĸ ÑĩниÑħ",
+      "ÑĸÑĩ ниÑħ",
+      "ĠÑĢазвиÑĤи Ñı",
+      "ĠÑĢазви ÑĤиÑı",
+      "e cial",
+      "ec ial",
+      "eci al",
+      "ĠÑħ озÑı",
+      "в аеÑĤ",
+      "ва еÑĤ",
+      "ĠÄIJ á»Ļ",
+      "ĠÄIJá» Ļ",
+      "Ġ éĵ",
+      "Ġé ĵ",
+      "Ġok am",
+      "ĠвÑģ ÑĸÑħ",
+      "ĠвÑģÑĸ Ñħ",
+      "ĠPr aze",
+      "ĠPra ze",
+      "ë¥ ł",
+      "ι κα",
+      "ικ α",
+      "æ¬ ²",
+      "Ġgerçek leÅŁ",
+      "ç¥ ĸ",
+      "Ġод ним",
+      "Âł M",
+      "Ġre nk",
+      "Ġr enk",
+      "Ġren k",
+      "Ġल à¤ķ",
+      "ãĥķ ãĤ§",
+      "ãĥķãĤ §",
+      "ĠÙĨ زد",
+      "å¹ »",
+      "Ġúzem ÃŃ",
+      "æı ¡",
+      "а лиÑģÑı",
+      "али ÑģÑı",
+      "Ġ ÃĶ",
+      "ĠÃ Ķ",
+      "Ġy orum",
+      "Ġyo rum",
+      "ĠÏĢ ÏģÏī",
+      "ãĥ³ ãĥĩ",
+      "ãĥ³ãĥ ĩ",
+      "éĸĭ å§ĭ",
+      "ãĥ¼ ãĥª",
+      "ãĥ¼ãĥ ª",
+      "Ġìĸ¼ êµ´",
+      "Û± Û±",
+      "Û±Û ±",
+      "lü ÄŁÃ¼",
+      "lÃ¼ÄŁ ü",
+      "ÙĨ Ø´",
+      "à¹Ī ำ",
+      "èĽ ĭ",
+      "ĠØ£ د",
+      "ĠW illi",
+      "ĠWill i",
+      "ĠWil li",
+      "ĠWi lli",
+      "èª ²",
+      "Ġsür dür",
+      "ĠEx ternÃŃ",
+      "Ġp ůvod",
+      "Ġpů vod",
+      "ĠØ® اÙĨÙĪ",
+      "ĠخاÙĨ ÙĪ",
+      "ĠкоÑĤоÑĢ ое",
+      "Ġm ohl",
+      "Ġmo hl",
+      "Ġmoh l",
+      "Ġs tÄĽ",
+      "Ġst ÄĽ",
+      "åĩ ı",
+      "ìĤ ¼",
+      "aban cı",
+      "à¹ģ à¸Ļ",
+      "สำ à¸Ħ",
+      "æĤ £",
+      "ab ilece",
+      "abil ece",
+      "abile ce",
+      "éĺ³ åŁİ",
+      "Îij Îļ",
+      "Ġch ữa",
+      "Ġchữ a",
+      "ĠìķĦ ëĭ",
+      "طبÙĬ ÙĤ",
+      "طب ÙĬÙĤ",
+      "ÎĻ ÎŁÎ¥",
+      "ÎĻÎŁ Î¥",
+      "ÑĢ ование",
+      "ÑĢов ание",
+      "ÑĢо вание",
+      "ÑĢован ие",
+      "ÑĢова ние",
+      "åĩ ½",
+      "Ġ ì¼",
+      "Ġì ¼",
+      "ÑĢ оÑĦ",
+      "ÑĢо ÑĦ",
+      "à¹ĩ à¸Ļส",
+      "à¹ĩà¸Ļ ส",
+      "Ġ ãĤ¦",
+      "ĠãĤ ¦",
+      "ï¼ļ ãĢĮ",
+      "á»ĭ a",
+      "Ġ hPa",
+      "Ġh Pa",
+      "m anı",
+      "man ı",
+      "ál nÃŃho",
+      "álnÃŃ ho",
+      "ÙĪ تÛĮ",
+      "ÙĪت ÛĮ",
+      "ĠлеÑĩ ениÑı",
+      "j te",
+      "jt e",
+      "- д",
+      "åħ¨ åĽ½",
+      "ĠбÑĥд Ñĸв",
+      "Ġz atÃŃm",
+      "Ġzat ÃŃm",
+      "Ġ öyle",
+      "Ġö yle",
+      "ìĿ´ ê°Ģ",
+      "s tal",
+      "st al",
+      "sta l",
+      "i vatel",
+      "iv atel",
+      "ivate l",
+      "iva tel",
+      "Ġ æľª",
+      "Ġpož ad",
+      "ĠÑģ ни",
+      "Ġpos lednÃŃ",
+      "Ġposled nÃŃ",
+      "ĠÑģÑĤ анд",
+      "ĠÑģÑĤан д",
+      "ĠÑģÑĤа нд",
+      "à¥Ģ à¤ıम",
+      "à¥Ģà¤ı म",
+      "Ġ عکس",
+      "Ġع کس",
+      "ÑĢ иÑı",
+      "ÑĢи Ñı",
+      "ã y",
+      "á»ĭ p",
+      "Ġo kul",
+      "Ġok ul",
+      "Ġoku l",
+      "à¸ĩ หมà¸Ķ",
+      "Ġвоз ник",
+      "m ÃŃ",
+      "ç§ Ł",
+      "ĠÄij á»ijc",
+      "Ġp odÃŃ",
+      "Ġpo dÃŃ",
+      "Ġpod ÃŃ",
+      "ĠÅĻÃŃ j",
+      "ĠÑĤак Ñĸ",
+      "ĠÑĤа кÑĸ",
+      "à¸ļ าà¸Ĺ",
+      "Ġ 보기",
+      "Ġë³´ 기",
+      "ล า",
+      "еÑģ ÑĤо",
+      "еÑģÑĤ о",
+      "Ġ çĶ¨",
+      "и нÑĭ",
+      "ин Ñĭ",
+      "ĠÑĢ ÑĥÑħ",
+      "ĠÑĢÑĥ Ñħ",
+      "ĠÑĢаÑģп олож",
+      "Ñī еннÑı",
+      "Ġc á»Ń",
+      "à¹ī à¸ļร",
+      "à¥įयव स",
+      "ï¾ ļ",
+      "Ġд алÑĮ",
+      "Ġда лÑĮ",
+      "Ġдал ÑĮ",
+      "Ġض د",
+      "ÙĦ ÙĬØ©",
+      "ÙĦÙĬ Ø©",
+      "ĠкоÑĤоÑĢ ого",
+      "Ġd ve",
+      "Ġdv e",
+      "Ġnh ạc",
+      "ÑĦ Ñĸка",
+      "ÑĦÑĸ ка",
+      "ÑĦÑĸк а",
+      "à¥Ī à¤Ł",
+      "èĩª çĶ±",
+      "Ġпо ÑĢÑĥÑĪ",
+      "ĠпоÑĢ ÑĥÑĪ",
+      "æľĭ åıĭ",
+      "Ġd ört",
+      "Ġdö rt",
+      "ĠÑĢаÑģп ÑĢоÑģÑĤ",
+      "ãģ§ ãģ¯ãģªãģĦ",
+      "ãģ§ãģ¯ ãģªãģĦ",
+      "ĠпеÑĢ ег",
+      "ĠпеÑĢе г",
+      "Ġ ánh",
+      "Ġá nh",
+      "Ġán h",
+      "ĠV ÃŃ",
+      "ظ ٹ",
+      "à¥į रण",
+      "à¥įर ण",
+      "Ġb ilim",
+      "Ġbi lim",
+      "Ġbil im",
+      "Ġlid é",
+      "Ġd ÃŃky",
+      "ĠdÃŃ ky",
+      "ĠÄIJ á»ĵng",
+      "Ġ εÏģγ",
+      "Ġε Ïģγ",
+      "Ġzn ovu",
+      "Ïĥ ια",
+      "Ïĥι α",
+      "Ñ ŀ",
+      "स à¤Ń",
+      "e kk",
+      "ek k",
+      "Ġμε ÏĦά",
+      "ÑģÑĤ иÑĩ",
+      "ÑģÑĤи Ñĩ",
+      "ÛĮ ÙĨÚ¯",
+      "ÛĮÙĨ Ú¯",
+      "ĠÑıв лÑıÑİÑĤÑģÑı",
+      "Ġ 建",
+      "Ġå» º",
+      "Ïĥ Ïĥα",
+      "ÏĥÏĥ α",
+      "ав лива",
+      "à¸ģ รม",
+      "à¸ģร ม",
+      "ç¬ Ķ",
+      "Ġ ге",
+      "Ġг е",
+      "Ġ رÙĩ",
+      "Ġر Ùĩ",
+      "Ġм ел",
+      "Ġна пÑĢимеÑĢ",
+      "ĠнапÑĢи меÑĢ",
+      "Ġм ик",
+      "Ġми к",
+      "ĠاÙĦس ÙĥاÙĨ",
+      "æ¤ ľ",
+      "ĠÐļ ÑĢа",
+      "Ġv Ãłi",
+      "ĠvÃł i",
+      "ائ Ùħ",
+      "ĠÏĩ Ïģή",
+      "leÅŁ me",
+      "Ġ jas",
+      "Ġj as",
+      "Ġja s",
+      "ê²Į ìŀĦ",
+      "Ġm aç",
+      "Ġma ç",
+      "Ġì§Ħ íĸī",
+      "à¥ĩद न",
+      "Ġvů bec",
+      "ĠÙĦ ÙĨ",
+      "è« ĩ",
+      "âī¡ âī¡",
+      "л ением",
+      "ление м",
+      "лен ием",
+      "ле нием",
+      "ع ÙĨÛĮ",
+      "عÙĨ ÛĮ",
+      "ãĥŀ ãĥ³",
+      "Ä° Z",
+      "ĠÃĸ ÄŁ",
+      "ĠìŬ ìŀIJ",
+      "y Å¡",
+      "Ġ ÑģÑĤа",
+      "ĠÑģ ÑĤа",
+      "ĠÑģÑĤ а",
+      "Ġ สำหร",
+      "Ġสำ หร",
+      "Ġन व",
+      "ãĢĤ ä½Ĩ",
+      "олÑĮ но",
+      "Ġyan ında",
+      "Ġyanı nda",
+      "è² ´",
+      "Ġjednot liv",
+      "Ġ åİŁ",
+      "Ġåİ Ł",
+      "éłħ 缮",
+      "Ġमद द",
+      "리 ìĹIJ",
+      "ĠÙħ اÙĬ",
+      "ĠÙħا ÙĬ",
+      "ĠÑĩ еÑĢв",
+      "ĠÑĩеÑĢ в",
+      "Ġd áv",
+      "Ġdá v",
+      "ÙĦ ÛĮÙĩ",
+      "ÙĦÛĮ Ùĩ",
+      "? #",
+      "Äį nÃŃm",
+      "ÄįnÃŃ m",
+      "ÑĢ ег",
+      "ÑĢе г",
+      "ĠпÑĢимен Ñı",
+      "ĠпÑĢим енÑı",
+      "ãĤĬ ãģ¨",
+      "ê° Ļ",
+      "Ġtop lam",
+      "Ġtopl am",
+      "i leÅŁ",
+      "il eÅŁ",
+      "ile ÅŁ",
+      "Ġk ategor",
+      "ÑĤ ал",
+      "ÑĤа л",
+      "ãģ«ãĤĪ ãĤĭ",
+      "Ġdom ác",
+      "Ġ ê·ľ",
+      "Ġê· ľ",
+      "ĠÙĩ زار",
+      "ĠpÅĻÃŃ stup",
+      "ĠpÅĻÃŃst up",
+      "ı lıyor",
+      "ılı yor",
+      "ıl ıyor",
+      "ж ди",
+      "жд и",
+      "ĠD Æ°Æ¡ng",
+      "ĠPh áºŃt",
+      "Ġç ünkü",
+      "구 ê¸ĢìĥģìľĦ",
+      "ov aných",
+      "ova ných",
+      "ovan ých",
+      "ovaný ch",
+      "Ġع Ø´",
+      "Ġà¤ķर à¤ķ",
+      "ž ÃŃt",
+      "žÃŃ t",
+      "Ġ vÄĽtÅ¡ÃŃ",
+      "ĠvÄĽt Å¡ÃŃ",
+      "ĠvÄĽtÅ¡ ÃŃ",
+      "ĠاÙħ کاÙĨ",
+      "Ġn ông",
+      "Ġz ám",
+      "Ġzá m",
+      "à¥Į न",
+      "е каÑĢ",
+      "ек аÑĢ",
+      "ека ÑĢ",
+      "Âł Т",
+      "k ami",
+      "ka mi",
+      "ĠÑĢеÑģ ÑĥÑĢ",
+      "п оÑģ",
+      "по Ñģ",
+      "Ùİ ÙĤ",
+      "ί λ",
+      "Ġ سازÛĮ",
+      "Ġس ازÛĮ",
+      "Ġساز ÛĮ",
+      "Ġçık an",
+      "Ġçı kan",
+      "ĠdÃŃ tÄĽ",
+      "Ġتص ÙĪ",
+      "ç¯ ĩ",
+      "н д",
+      "Ġrám ci",
+      "h ong",
+      "ho ng",
+      "hon g",
+      "Ġ ÑģÑĸм",
+      "ĠÑģ Ñĸм",
+      "s ak",
+      "sa k",
+      "к еÑĤ",
+      "ке ÑĤ",
+      "д Ñĸл",
+      "дÑĸ л",
+      "ç¹ Ķ",
+      "Ġth Æ°á»Łng",
+      "Ġне ÑĹ",
+      "з Ñĸ",
+      "ÅĻ ÃŃd",
+      "ÅĻÃŃ d",
+      "ित न",
+      "à¤ı à¤ķ",
+      "Ġs ữa",
+      "ĠÙħ رØŃ",
+      "ĠÙħر ØŃ",
+      "é ŀ",
+      "Ġc Æ°á»Ŀng",
+      ": .:",
+      ":. :",
+      "ÑĤ ен",
+      "ÑĤе н",
+      "èī ¦",
+      "Ġkh ợi",
+      "Ġ 기ì¤Ģ",
+      "Ġ기 ì¤Ģ",
+      "lan ır",
+      "彩 票",
+      "ض ÛĮ",
+      "Ġuz av",
+      "Ġb oh",
+      "Ġbo h",
+      "è m",
+      "Ġ æ£",
+      "Ġæ £",
+      "n ici",
+      "ni ci",
+      "nic i",
+      "( çģ«",
+      "åħ³ äºİ",
+      "Ñĸ ÑĩнÑĸ",
+      "ÑĸÑĩ нÑĸ",
+      "à¸ģ ารà¸ĵ",
+      "à¸ģาร à¸ĵ",
+      "Ġì² «",
+      "ÑĢ ÑĥеÑĤ",
+      "ÑĢÑĥ еÑĤ",
+      "ĠarÅŁiv lendi",
+      "ÑĤ им",
+      "ÑĤи м",
+      "า à¸ł",
+      "าภł",
+      "Ġبر ابر",
+      "Ġ à¹Ģà¸ĭ",
+      "Ġà¹Ģ à¸ĭ",
+      "Ġà¹Ģภĭ",
+      "ĠÄij êm",
+      "è· ³",
+      "Ġyön etim",
+      "Ġyönet im",
+      "Ġ éķ·",
+      "Ġéķ ·",
+      "ãĥĨ ãĥ¬ãĥĵ",
+      "м аÑĤи",
+      "ма ÑĤи",
+      "маÑĤ и",
+      "è´£ ä»»",
+      "ick ým",
+      "ický m",
+      "è ¸",
+      "à¹Ģห à¸ķ",
+      "ëł Į",
+      "Ġ رÙĬ",
+      "Ġر ÙĬ",
+      "ĠвÑĭ дел",
+      "åĩº çİ°",
+      "Ġп еÑģ",
+      "Ġì¢ĭ ìĿĢ",
+      "Ġà¤ī सन",
+      "Ġà¤īस न",
+      "ĠAr alık",
+      "ĠAra lık",
+      "ĠÑĩа ÑģÑĥ",
+      "ĠÑĩаÑģ Ñĥ",
+      "l ava",
+      "la va",
+      "lav a",
+      "Ġ ï½ŀ",
+      "Ġï½ ŀ",
+      "æģ ĭ",
+      "د ÛĮد",
+      "دÛĮ د",
+      "âĢĻ den",
+      "âĢĻd en",
+      "âĢĻde n",
+      "Ġ åĪĿ",
+      "ĠåĪ Ŀ",
+      "ÙĪ دة",
+      "ÙĪد Ø©",
+      "Ñĩ или",
+      "Ñĩи ли",
+      "Ñĩил и",
+      "ĠÑħаÑĢакÑĤ еÑĢиÑģÑĤи",
+      "ا ستاÙĨ",
+      "اس تاÙĨ",
+      "است اÙĨ",
+      "द र",
+      "ĠبÙĪد ÙĨ",
+      "ĠبÙĪ دÙĨ",
+      "Ġп алÑĮ",
+      "Ġпа лÑĮ",
+      "Ġпал ÑĮ",
+      "ĠÑĤ ÑĢади",
+      "ĠÑĤÑĢ ади",
+      "ĠÑĤÑĢа ди",
+      "Ġд еÑı",
+      "Ġде Ñı",
+      "Ġ خش",
+      "ĠØ® Ø´",
+      "Ġpok raÄį",
+      "Ġ구 ê¸Ģ",
+      "к овÑĸ",
+      "ко вÑĸ",
+      "ков Ñĸ",
+      "Ġ tık",
+      "Ġt ık",
+      "Ġh ấp",
+      "Ġza lož",
+      "Ġzal ož",
+      "१ à¥",
+      "Ġëĭµ ë³Ģ",
+      "м еÑĪ",
+      "ме ÑĪ",
+      "íļ ¨",
+      "Ġspol up",
+      "Ġspolu p",
+      "Ë Ĩ",
+      "è¾ ¦",
+      "Ġg á»Ĺ",
+      "Ġ å®ļ",
+      "Ġå® ļ",
+      "ĵ n",
+      "as ından",
+      "asında n",
+      "- ı",
+      "ĠбеÑĢ ез",
+      "大 åѸ",
+      "Ġз нов",
+      "Ġзн ов",
+      "ĠHo Ãłng",
+      "Ġد ÙĪÙĨ",
+      "ĠدÙĪ ÙĨ",
+      "Ġan lay",
+      "ĠÙĪ زار",
+      "ĠÙĪز ار",
+      "ĠعÙĦ ÙħÛĮ",
+      "ĠعÙĦÙħ ÛĮ",
+      "è£ ľ",
+      "Ġdü nya",
+      "Ġdün ya",
+      "Ġdüny a",
+      "Ġза лиÑĪ",
+      "Ġзал иÑĪ",
+      "Ġзали ÑĪ",
+      "д аеÑĤ",
+      "да еÑĤ",
+      "ν ε",
+      "и ÑĩеÑģкого",
+      "иÑĩеÑģ кого",
+      "ìĬ¤ íħľ",
+      "ĠÐij еÑĢ",
+      "Ġ дж",
+      "Ġд ж",
+      "Ġ опаÑģ",
+      "Ġоп аÑģ",
+      "ÏĨ α",
+      "Ġzv lá",
+      "Ġt ô",
+      "б еÑĢ",
+      "бе ÑĢ",
+      "ĠÎľ αÏģ",
+      "Ġξα Ïģ",
+      "ti ÄŁini",
+      "tiÄŁi ni",
+      "ãĥ¬ ãĥ³",
+      "ĠK ho",
+      "ĠKh o",
+      "ĠÑĸн ÑĪ",
+      "Ġ ï¿¥",
+      "ì° ¬",
+      "ï½ ¡",
+      "Ġ ноÑĩ",
+      "Ġн оÑĩ",
+      "Ġно Ñĩ",
+      "è¨ Ĭ",
+      "ÄĽ ti",
+      "ÄĽt i",
+      "å¿ Ļ",
+      "Ġکرد ÙĨد",
+      "ĠکردÙĨ د",
+      "ĠÄij ẩy",
+      "ĠÑģказ ав",
+      "ëĥ ¥",
+      "å± ¬",
+      "Ġश हर",
+      "ĠÚ©Ùħ Ú©",
+      "Âł ÐŁ",
+      "ın ca",
+      "нÑĸвеÑĢ ÑģиÑĤ",
+      "Ġ Ú¯ÙĪÙĨÙĩ",
+      "ĠÚ¯ ÙĪÙĨÙĩ",
+      "ĠÚ¯ÙĪ ÙĨÙĩ",
+      "ĠTop lam",
+      "ĠiÅŁ aret",
+      "ä½ł 们",
+      "Ġd erece",
+      "Ġde rece",
+      "Ġder ece",
+      "Ġdere ce",
+      "Ġderec e",
+      "ĠìĤ¬ ìĭ¤",
+      "Ġ ìŀIJ기",
+      "ĠìŀIJ 기",
+      "å®ŀ çİ°",
+      "çĶŁ çī©",
+      "ãģ® ä¸Ģ",
+      "Ġ ÑĢом",
+      "ĠÑĢ ом",
+      "ÙĪ زÙĩ",
+      "ÙĪز Ùĩ",
+      "Ġ ãģ¨",
+      "íĻ į",
+      "ÙĬ ÙĤ",
+      "Ġ åIJįçĦ¡ãģĹãģķãĤĵ",
+      "ĠåIJį çĦ¡ãģĹãģķãĤĵ",
+      "ĠåIJįçĦ¡ãģĹ ãģķãĤĵ",
+      "ĠÙ¾ ÛĮر",
+      "ĠÙ¾ÛĮ ر",
+      "Ġпол ез",
+      "ì¶ ©",
+      "ĠкоÑĢ п",
+      "IJ ëĭ¤",
+      "á» «a",
+      "ừ a",
+      "Îķ Τ",
+      "Ġжел ез",
+      "ãģ£ãģ ±",
+      "Ġx uyên",
+      "Ġ ë¥",
+      "Ġë ¥",
+      "à¥ĩ ।Ċ",
+      "à¥ĩ। Ċ",
+      "ĠÑģÑĤ али",
+      "ĠÑģÑĤал и",
+      "ĠÑģÑĤа ли",
+      "Ġpomoc ÃŃ",
+      "Ġdurum da",
+      "Ġп ÑĢоÑĪ",
+      "ĠпÑĢ оÑĪ",
+      "ĠпÑĢо ÑĪ",
+      "l enÃŃ",
+      "le nÃŃ",
+      "len ÃŃ",
+      "β ολ",
+      "βο λ",
+      "Ġ æĸĩç«ł",
+      "Ġæĸĩ ç«ł",
+      "tÄĽ z",
+      "d ÃŃl",
+      "dÃŃ l",
+      "Ġdruh é",
+      "ĠÑĤ огда",
+      "Ġh rá",
+      "Ġhr á",
+      "о ÑĤÑĮ",
+      "оÑĤ ÑĮ",
+      "า à¸ģร",
+      "าà¸ģ ร",
+      "Ġتص Ùħ",
+      "ĠÙħد ت",
+      "ка дем",
+      "Ġpat ÅĻÃŃ",
+      "ä¹ĭ åīį",
+      "س بة",
+      "سب ة",
+      "Ġпо кÑĢÑĭ",
+      "Ġпок ÑĢÑĭ",
+      "Ġn áp",
+      "Ġná p",
+      "Ġ_ {}",
+      "Ġ_{ }",
+      "ëĵ± íķĻêµIJ",
+      "ĠØ¥ ÙĦÙĬ",
+      "ĠØ¥ÙĦ ÙĬ",
+      "Ġöz g",
+      "çļ Ĩ",
+      "Ġhay van",
+      "ĠN isan",
+      "ĠNi san",
+      "غ از",
+      "Ġت ت",
+      "ĠдÑĥ Ñħов",
+      "ĠдÑĥÑħ ов",
+      "ĠÐŁÐ¾ ÑįÑĤомÑĥ",
+      "ÑĮ огод",
+      "ÑĮого д",
+      "Ġk uÅŁ",
+      "Ġku ÅŁ",
+      "Ġà¤ĩ सम",
+      "Ġà¤ĩस म",
+      "ج ÛĮ",
+      "Ġ ãĤ¿",
+      "ĠãĤ ¿",
+      "Ġв кÑĥÑģ",
+      "Ġвк ÑĥÑģ",
+      "ĠвкÑĥ Ñģ",
+      "ç Ģ",
+      "ĠвÑĭ ÑĪе",
+      "âĢĻ dan",
+      "âĢĻd an",
+      "âĢĻda n",
+      "ĠاØŃ Ùħد",
+      "Ġtal ep",
+      "Ġta lep",
+      "Ġtale p",
+      "Ġ ÏĪ",
+      "ĠÏ Ī",
+      "Ġdol ayı",
+      "Ġdolay ı",
+      "ĠÚ¯ زارش",
+      "б ол",
+      "бо л",
+      "ĠاÛĮÙĨ تر",
+      "ÑĢ оÑĩ",
+      "ÑĢо Ñĩ",
+      ") âĢı",
+      "Ġ ëIJł",
+      "ĠëIJ ł",
+      "Ġk oup",
+      "Ġko up",
+      "Ġkou p",
+      "( æľĪ",
+      "é± ¼",
+      "Ġ огÑĢа",
+      "Ġо гÑĢа",
+      "Ġог ÑĢа",
+      "ĠÑĢаз м",
+      "ĠÑĢа зм",
+      "Ġت ست",
+      "Ġتس ت",
+      "ĠpÅĻÃŃ slu",
+      "í ĽĪ",
+      "ĠëĮĢ íķ´",
+      "à¹ģ à¸Ľ",
+      "ан нÑĭе",
+      "аннÑĭ е",
+      "ĠìĿ¸ íĦ°",
+      "Ġkullan ılan",
+      "Ġkullanı lan",
+      "Ġkullanıl an",
+      "Ġz tr",
+      "æĬĢ è¡ĵ",
+      "ि à¤Ľ",
+      "िठĽ",
+      "ĠاÙĦÙħ ؤ",
+      "ov aly",
+      "ova ly",
+      "oval y",
+      "us tos",
+      "ust os",
+      "usto s",
+      "Ġö rg",
+      "Ġör g",
+      "Ġ 太",
+      "Ġå¤ ª",
+      "ε ιο",
+      "ει ο",
+      "Ġ uÄį",
+      "Ġu Äį",
+      "ĠØ´ Ú©ÙĦ",
+      "ĠØ´Ú© ÙĦ",
+      "建 çŃij",
+      "Ġch ạy",
+      "ĠÏĩ Ïģη",
+      "н ÑĥÑĤ",
+      "нÑĥ ÑĤ",
+      "Ġباع Ø«",
+      "ĠNÄĽk ter",
+      "ÑĥÑĤ ÑĤÑı",
+      "ãģ§ãģĻ ãģĭ",
+      "Ġsay ılı",
+      "Ġsayı lı",
+      "им оÑģÑĤÑĮ",
+      "имо ÑģÑĤÑĮ",
+      "ĠпиÑĤ аннÑı",
+      "Ġk ÃŃnh",
+      "Ġh ran",
+      "Ġhr an",
+      "Ġhra n",
+      "ok rat",
+      "Ġed ilir",
+      "Ġedil ir",
+      "Ġà¤ķह त",
+      "Ġp aci",
+      "Ġpa ci",
+      "Ġpac i",
+      "ाल न",
+      "Ġи де",
+      "Ġид е",
+      "ĠZ em",
+      "ĠZe m",
+      "Ġsluž by",
+      "ÑģÑĤв еннÑĭй",
+      "ÑģÑĤвен нÑĭй",
+      "ĠØ¢ ÙĨاÙĨ",
+      "ĠØ¢ÙĨ اÙĨ",
+      "ĠÑĤ оваÑĢи",
+      "ĠÑĤоваÑĢ и",
+      "ĠÑĤов аÑĢи",
+      "ĠتØŃ ÙħÙĬÙĦ",
+      "ĠY ük",
+      "Ġк аÑĤегоÑĢ",
+      "ĠкаÑĤ егоÑĢ",
+      "íĭ Ģ",
+      "Ġк оÑģ",
+      "Ġко Ñģ",
+      "Ġ обов",
+      "Ġо бов",
+      "Ġоб ов",
+      "Ġобо в",
+      "ĠprostÅĻed ÃŃ",
+      "ĠÑģ оÑģ",
+      "ĠÑģо Ñģ",
+      "ĠÐIJ лекÑģанд",
+      "ĠÐIJлекÑģ анд",
+      "Ġ à¹Ģà¸Ĥà¸ķ",
+      "Ġà¹Ģà¸Ĥ à¸ķ",
+      "å¿ħ é¡»",
+      "ั à¸Ĭ",
+      "ĠÙĦ د",
+      "ãĢģ ä¸Ģ",
+      "ĠÎľ ÎŃ",
+      "Ñĥ ваÑĤиÑģÑı",
+      "Ñĥв аÑĤиÑģÑı",
+      "ÑĥваÑĤи ÑģÑı",
+      "Ñĥва ÑĤиÑģÑı",
+      "æķ ı",
+      "ãĥ¼ ãĥIJ",
+      "ãĥ¼ãĥ IJ",
+      "اÙĦ ÙĦÙĩ",
+      "Ġب Ùĩا",
+      "ĠبÙĩ ا",
+      "åĸ ¶",
+      "è´ µ",
+      "æĸ¹ åIJij",
+      "Ġ ì¸",
+      "Ġì ¸",
+      "Ġ ÙĨاÙħÙĩ",
+      "ĠÙĨ اÙħÙĩ",
+      "ĠÙĨاÙħ Ùĩ",
+      "ÑĮ ко",
+      "Ġv ody",
+      "Ġvo dy",
+      "Ġvod y",
+      "v ÃŃc",
+      "vÃŃ c",
+      "à¹ģ à¸Ī",
+      "Ġع ÙĦÛĮÙĩ",
+      "ĠعÙĦ ÛĮÙĩ",
+      "ĠعÙĦÛĮ Ùĩ",
+      "à¹ģ รà¸ĩ",
+      "ί να",
+      "ίν α",
+      "ãģ ¬",
+      "Ġ Ðŀп",
+      "ĠÐŀ п",
+      "Ġsay f",
+      "ï¼Į çĶ±",
+      "ä¼ ´",
+      "ĠÑĥд об",
+      "ãģ¾ ãģł",
+      "Ġне пÑĢи",
+      "Ġнеп ÑĢи",
+      "Â İ",
+      "à¤¾à¤ľ प",
+      "pl nÄĽ",
+      "Ġ ìĹĦ",
+      "ĠìĹ Ħ",
+      "Ġrů zn",
+      "Ġrůz n",
+      "Ġx ếp",
+      "ãĥĸ ãĥ«",
+      "ĠзаÑħ иÑģÑĤ",
+      "ĠÙħص رÙģ",
+      "ĠÙħصر Ùģ",
+      "ĠvÅ¡ech no",
+      "ãģ® ãģĬ",
+      "ĠTh á»ĭ",
+      "Ġm ùa",
+      "¿ IJ",
+      "ĠпÑĢин ÑĨип",
+      "ĠاÙĨ ÙĤÙĦ",
+      "г аÑĢ",
+      "га ÑĢ",
+      "Ġmož nost",
+      "ÙĤ ÙĬÙĤ",
+      "ÙĤÙĬ ÙĤ",
+      "Ġotev ÅĻ",
+      "Ġ fak",
+      "Ġf ak",
+      "Ġfa k",
+      "Ġng uy",
+      "Ġngu y",
+      "б ов",
+      "бо в",
+      "l acaÄŁ",
+      "lac aÄŁ",
+      "ا طر",
+      "اط ر",
+      "ãģ« ãĤĪãĤĬ",
+      "ãģ«ãĤĪ ãĤĬ",
+      "æĺ¯ åľ¨",
+      "Ġt ầng",
+      "ìĿ¸ ìĿ´",
+      "a ÅĻ",
+      "ç ¢°",
+      "ç¢ °",
+      "ÏĮ με",
+      "Ġ ê°Ī",
+      "Ġê° Ī",
+      "ĠØ£ ØŃد",
+      "ĠØ£ØŃ Ø¯",
+      "غ راÙģ",
+      "غر اÙģ",
+      "ĠÙĬ ØŃ",
+      "ï½ §",
+      "ĠاÙĦØŃÙĬ اة",
+      "Ġ lep",
+      "Ġl ep",
+      "Ġle p",
+      "Ġ ฮ",
+      "Ġภ®",
+      "t ae",
+      "ta e",
+      "Ġl Æ°Æ¡ng",
+      "è½ ®",
+      "Ġз мÑĸн",
+      "ĠзмÑĸ н",
+      "Ġзм Ñĸн",
+      "ĠÐļи ÑĹв",
+      "ĠмÑĸ ÑģÑı",
+      "ĠмÑĸÑģ Ñı",
+      "к ав",
+      "ка в",
+      "à¸ķ ะ",
+      "Ġm noho",
+      "Ġmn oho",
+      "Ġmnoh o",
+      "ĠNgh á»ĭ",
+      "èĻ İ",
+      "Ġ ãĥŁ",
+      "Ġãĥ Ł",
+      "Ġp ráci",
+      "Ġpr áci",
+      "Ġprá ci",
+      "Ġg á»ijc",
+      "ĠY eni",
+      "ĠYe ni",
+      "ĠYen i",
+      "ا ضÙĬ",
+      "اض ÙĬ",
+      "Ġ èij",
+      "Ġè ij",
+      "Ġк ла",
+      "Ġкл а",
+      "ı ng",
+      "ÏĦ εί",
+      "ÏĦε ί",
+      "Ġb eni",
+      "Ġbe ni",
+      "Ġben i",
+      "Ġ عد",
+      "Ġع د",
+      "Ġ aktu",
+      "Ġak tu",
+      "Ġakt u",
+      "ĠÙĪ ÙĤد",
+      "ĠÙĪÙĤ د",
+      "Ġпод гоÑĤов",
+      "Ġgi ai",
+      "Ġgia i",
+      "( æ°´",
+      "Ġs aç",
+      "Ġsa ç",
+      "ĠÙħÙĨ اسب",
+      "ĠÙħÙĨاس ب",
+      "âĸ ĭ",
+      "ÙIJ Ùĩ",
+      "é į",
+      "à¸Ń à¸Ĺ",
+      "ĠسÛĮ اسÛĮ",
+      "o lit",
+      "ol it",
+      "oli t",
+      "ĠاÙĦ جز",
+      "ĠاÙĦج ز",
+      "Ø· ÙĦب",
+      "Ø·ÙĦ ب",
+      "Ġ sey",
+      "Ġs ey",
+      "Ġse y",
+      "e rence",
+      "er ence",
+      "ere nce",
+      "eren ce",
+      "ì´ Į",
+      "ĠвнÑĥÑĤÑĢ ен",
+      "ĠвнÑĥÑĤ ÑĢен",
+      "Ġ à¸Ļาย",
+      "Ġà¸Ļ าย",
+      "ĠìķĬ ìķĺëĭ¤",
+      "ĠìķĬìķĺ ëĭ¤",
+      "o lik",
+      "ol ik",
+      "oli k",
+      "æľĢ åIJİ",
+      "ä» ª",
+      "Ġ ÑĢÑĸд",
+      "ĠÑĢ Ñĸд",
+      "è¼ ĥ",
+      "Ġ باب",
+      "Ġب اب",
+      "Ġبا ب",
+      "Ñĥ ди",
+      "Ñĥд и",
+      "Ġ ÑģÑĤÑĥп",
+      "ĠÑģÑĤ Ñĥп",
+      "ĠÄij ứng",
+      "ĠÄijứ ng",
+      "ĠÅŁ öyle",
+      "Ġ íķĻìĥĿ",
+      "ĠíķĻ ìĥĿ",
+      "Ġв лаÑģÑĤи",
+      "Ġвла ÑģÑĤи",
+      "ĠвлаÑģ ÑĤи",
+      "Ġh ãng",
+      "Ġhã ng",
+      "à¹ī าว",
+      "à¹īา ว",
+      "ĠÚ© اÙĩØ´",
+      "Ġ ëĵ¯",
+      "Ġëĵ ¯",
+      "ĠجÙħ ÙĦÙĩ",
+      "Ġد کتر",
+      "ad olu",
+      "ado lu",
+      "adol u",
+      "Ġت بد",
+      "Ġتب د",
+      "ظ اÙħ",
+      "Ġz naÄį",
+      "Ġzn aÄį",
+      "Ġد ÙĨÛĮ",
+      "ĠدÙĨ ÛĮ",
+      "Ġs ạn",
+      "å¼ ±",
+      "ÏĢ ι",
+      "Ġ çIJĨ",
+      "ĠçIJ Ĩ",
+      "Ġ ÙģصÙĦ",
+      "ĠÙģ صÙĦ",
+      "и нг",
+      "ин г",
+      "Ðļ Ðŀ",
+      "ĠС ов",
+      "ĠСо в",
+      "Ġziy aret",
+      "Ġ دÙħ",
+      "Ġد Ùħ",
+      "ç« ¹",
+      "Ġsah ibi",
+      "is ayar",
+      "isa yar",
+      "isay ar",
+      "ÄŁ a",
+      "ĠпеÑĢÑĸ од",
+      "Ġs na",
+      "Ġsn a",
+      "( æľ¨",
+      "Ġ нее",
+      "Ġн ее",
+      "Ġне е",
+      "ĠÑĦак ÑĤоÑĢ",
+      "ĠÑĦакÑĤ оÑĢ",
+      "м еж",
+      "ме ж",
+      "åº Ħ",
+      "r áž",
+      "rá ž",
+      "ок ÑĢем",
+      "Ġž al",
+      "ิ à¹Ģศษ",
+      "è± ª",
+      "ou cÃŃ",
+      "ĠU lus",
+      "ĠUl us",
+      "Ġtak že",
+      "ا ÙĪÙĨ",
+      "اÙĪ ÙĨ",
+      "н иÑĤи",
+      "ни ÑĤи",
+      "ниÑĤ и",
+      "нÑĮ о",
+      "ëį ¸",
+      "Ġ Ùĥرة",
+      "ĠÙĥ رة",
+      "ĠÙĥر Ø©",
+      "åľ ³",
+      "ĠArth ropoda",
+      "ĠÑĤ одÑĸ",
+      "ĠÑĤо дÑĸ",
+      "Ġدر صد",
+      "ุ รà¸ģ",
+      "ุร à¸ģ",
+      "ĠÑģв ого",
+      "ĠÑģво го",
+      "说 éģĵ",
+      "Ġc ánh",
+      "Ġcá nh",
+      "Ġcán h",
+      "æĵ Ĭ",
+      "Ġ ä¸ĭè½½",
+      "Ġä¸ĭ è½½",
+      "èī ¾",
+      "Ġnik dy",
+      "Ø® Ø·",
+      "ĠÑģ ейÑĩаÑģ",
+      "ÙĪ ÙĬÙĦ",
+      "ÙĪÙĬ ÙĦ",
+      "a met",
+      "am et",
+      "ame t",
+      "문 ìĿĺ",
+      "ĠE ÄŁitim",
+      "大 ä¼ļ",
+      "Ġb ÅĻez",
+      "за ÑĨÑĸÑı",
+      "Ġty to",
+      "н ай",
+      "на й",
+      "غ Ùħ",
+      "Ġ é©",
+      "Ġé ©",
+      "计 ç®Ĺ",
+      "Türk iye",
+      "Ġmn ož",
+      "åIJĪ ä½ľ",
+      "æľį åĭĻ",
+      "Ġkažd ý",
+      "ĠÑİ ÑĢид",
+      "Ġ βα",
+      "Ġβ α",
+      "à¥Ĥ à¤ļ",
+      "åIJĮ ãģĺ",
+      "Ġ çĭ",
+      "Ġç ĭ",
+      "ί ÏĦ",
+      "ÙĪÛĮ ÙĨت",
+      "ÙĪÛĮÙĨ ت",
+      "ا ÙĨس",
+      "اÙĨ س",
+      "æľĢ 大",
+      "Ġ Từ",
+      "ĠT ừ",
+      "éŃĶ æ³ķ",
+      "Ġб ли",
+      "Ġбл и",
+      "ĠÑĤак ое",
+      "ĠÑĤа кое",
+      "ãģ ľ",
+      "ãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢ",
+      "ãĢĢĠ ãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢ",
+      "ìĿ´ ë©°",
+      "ĠÙĤسÙħ ت",
+      "Ġ оÑĨÑĸ",
+      "Ġо ÑĨÑĸ",
+      "н икÑĥ",
+      "ни кÑĥ",
+      "ник Ñĥ",
+      "Ġ Bạn",
+      "ĠB ạn",
+      "ĠоÑĢг анÑĸз",
+      "ĠоÑĢган Ñĸз",
+      "ĠоÑĢганÑĸ з",
+      "ü ph",
+      "üp h",
+      "Ġ izin",
+      "Ġi zin",
+      "Ġiz in",
+      "Ġ ï¾Ĭ",
+      "Ġï¾ Ĭ",
+      "εί ÏĤ",
+      "à¸ĩ à¹ģà¸ķ",
+      "ãģ¡ ãĤī",
+      "ва жа",
+      "важ а",
+      "Ġ 欧",
+      "Ġæ¬ §",
+      "ι Ïİ",
+      "ÏĢ ÎŃ",
+      "Ġк ÑĢеп",
+      "ĠÑĨ иÑħ",
+      "ĠÑĨи Ñħ",
+      "æĦŁ ãģĺ",
+      "çķ «",
+      "Ùĥ ÙĪ",
+      "е мо",
+      "ем о",
+      "ž en",
+      "že n",
+      "å¹³ æĸ¹",
+      "ĠÙħجÙħÙĪع Ùĩ",
+      "ĠÑģво и",
+      "Ġ ãĦ",
+      "à¸Ľà¸£à¸°à¸ģ à¸Ńà¸ļ",
+      "ĠпÑĢ оÑĤи",
+      "ĠпÑĢо ÑĤи",
+      "ĠпÑĢоÑĤ и",
+      "ÙĪ ÛĮÙĩ",
+      "ÙĪÛĮ Ùĩ",
+      "认 为",
+      "ÏĨ ÎŃ",
+      "и ÑĩеÑģкий",
+      "иÑĩеÑģ кий",
+      "иÑĩеÑģки й",
+      "æ¥ ļ",
+      "Ġп ап",
+      "Ġпа п",
+      "δ Ïģο",
+      "Ġkullan ım",
+      "Ġkullanı m",
+      "Ġz bo",
+      "Ġzb o",
+      "Ġú spÄĽ",
+      "Ġ Ùħز",
+      "ĠÙħ ز",
+      "ĠF ak",
+      "ĠFa k",
+      "елÑĮ зÑı",
+      "æ´» åĭķ",
+      "ĠÐŁ ÑĢав",
+      "ĠÐŁÑĢ ав",
+      "ĠÐŁÑĢа в",
+      "¦ y",
+      "åĥ ķ",
+      "æij ĺ",
+      "Ġر ئ",
+      "Ġ ÏĨοÏģ",
+      "ĠÏĨ οÏģ",
+      "м иÑĤ",
+      "ми ÑĤ",
+      "Ġt icaret",
+      "Ġti caret",
+      "Ġtic aret",
+      "æ³ķ å¾ĭ",
+      "年 代",
+      "ìĪ Ļ",
+      "å ¿ł",
+      "å¿ ł",
+      "à¹ĩ à¸Ļà¸Ĺ",
+      "à¹ĩà¸Ļ à¸Ĺ",
+      "Ġ Ñĥж",
+      "ĠÑĥ ж",
+      "ĠÙħتØŃ Ø¯Ùĩ",
+      "Ġtr á»Ŀi",
+      "Ġ رØŃ",
+      "Ġر ØŃ",
+      "ĠÚ©ÙĪ ÚĨ",
+      "ĠопÑĢед елен",
+      "ĠопÑĢедел ен",
+      "ĠزÙħ ÛĮÙĨÙĩ",
+      "ĠزÙħÛĮÙĨ Ùĩ",
+      "Ġn óng",
+      "Ġnó ng",
+      "Ġng ủ",
+      "Nh ững",
+      "Ġк иÑĪ",
+      "Ġки ÑĪ",
+      "Ġ jde",
+      "Ġj de",
+      "Ġjd e",
+      "Ġ ä¸Ĭæµ·",
+      "Ġä¸Ĭ æµ·",
+      "åĭ ĩ",
+      "Ġt anı",
+      "Ġtan ı",
+      "à¹Į à¹ģละ",
+      "à¹Įà¹ģ ละ",
+      "ĠÑĢа ÑģÑĤвоÑĢ",
+      "ĠÑĢаÑģÑĤ воÑĢ",
+      "ĠÑģÑĢед ÑģÑĤв",
+      "Ġc án",
+      "Ġcá n",
+      "Ġsyst ému",
+      "Ġsystém u",
+      "ÛĮ Ø·",
+      "ĠÑģиÑģÑĤем а",
+      "Ġ ëŀ",
+      "Ġë ŀ",
+      "Ġ ÑĩеÑĤ",
+      "ĠÑĩ еÑĤ",
+      "éĥ¨ éŨ",
+      "å¸ °",
+      "Ġm illet",
+      "Ġmill et",
+      "Ġmil let",
+      "ĠÎķ λλά",
+      "à¥ĩà¤ĸ न",
+      "Ġrepublik y",
+      "ÑĢ ами",
+      "ÑĢа ми",
+      "ÑĢам и",
+      "Ġसम स",
+      "Ġaç ısından",
+      "اد ÙĦ",
+      "Ġб еÑģп",
+      "ĠбеÑģ п",
+      "ãĥ» âĶģ",
+      "åľ Ń",
+      "o cu",
+      "oc u",
+      "k ánÃŃ",
+      "ká nÃŃ",
+      "ÙĪ رش",
+      "ÙĪر Ø´",
+      "ëŀ µ",
+      "Ġ çģ",
+      "Ġç ģ",
+      "è° ģ",
+      "Ġs ám",
+      "Ġν εÏĨ",
+      "Ġνε ÏĨ",
+      "b ilir",
+      "bil ir",
+      "ĠmÃŃst ÄĽ",
+      "Ġ žen",
+      "Ġž en",
+      "Ġže n",
+      "Ġil ç",
+      "Ġ ë§ģ",
+      "Ġë§ ģ",
+      "ãĢij Ċ",
+      "ĠÙħÙĪ ارد",
+      "ĠاÙĦ Ø´ÙĬ",
+      "ĠاÙĦØ´ ÙĬ",
+      "Ġ기 ë¡Ŀ",
+      "Ġt ady",
+      "Ġta dy",
+      "Ġtad y",
+      "à¸Ń าà¸Ī",
+      "ĠÑģ ÑĦ",
+      "ĠspoleÄį nost",
+      "Ġtém atu",
+      "Ùħ اÙħ",
+      "Ùħا Ùħ",
+      "Ùħ ع",
+      "Ġ леж",
+      "Ġл еж",
+      "ĠÚĨ Ø´Ùħ",
+      "ĠiÅŁ let",
+      "ĠÙĨس Ø®",
+      "ä¼ °",
+      "ãģį ãģª",
+      "ãĢ ĥ",
+      "å² Ĺ",
+      "Ġ åŃIJ",
+      "Ġå ŃIJ",
+      "ĠåŃ IJ",
+      "Ġb ảng",
+      "Ġbản g",
+      "çĮ ®",
+      "Ġc ứng",
+      "Ġcứ ng",
+      "Ġк ÑĢай",
+      "ĠкÑĢа й",
+      "Ġ èĭ±è¯Ń",
+      "Ġèĭ± è¯Ń",
+      "Ðł ÐIJ",
+      "ز ÙĨ",
+      "èĥ ŀ",
+      "Ġsür eç",
+      "Ġsüre ç",
+      "ãĥķ ãĥĪ",
+      "ĠкÑĸлÑĮ ка",
+      "ne ÄŁin",
+      "neÄŁi n",
+      "ov ány",
+      "ová ny",
+      "ován y",
+      "л Ñĸн",
+      "лÑĸ н",
+      "Ġvý raz",
+      "ĠÑģÑĩ иÑĤа",
+      "ĠÑģÑĩиÑĤ а",
+      "ĠпÑĢав ило",
+      "ĠпÑĢави ло",
+      "ĠпÑĢавил о",
+      "ĠиÑģполÑĮз Ñĥ",
+      "Ġk éo",
+      "Ġké o",
+      "ĠyaklaÅŁ ık",
+      "ĠÙĪاب ستÙĩ",
+      "ов аÑĤелÑĮ",
+      "Ġ ì²ł",
+      "Ġì² ł",
+      "ĠاÙĦ عاÙħ",
+      "ĠاÙĦع اÙħ",
+      "åĿ ı",
+      "Ġ à¸ī",
+      "Ġภī",
+      "ĠS Æ¡n",
+      "λ ιο",
+      "λι ο",
+      "ì¶Ķ ì²ľ",
+      "Ġsluž eb",
+      "ĠдеÑıÑĤелÑĮ ноÑģÑĤи",
+      "з м",
+      "Ġп ози",
+      "Ġпо зи",
+      "Ġпоз и",
+      ".; .;",
+      "ĠпÑĢоиÑģ ÑħодиÑĤ",
+      "าย à¹ĥà¸Ļ",
+      "çļĦ ãģ«",
+      "Ġà¤ĩस स",
+      "о меÑĤ",
+      "ом еÑĤ",
+      "Ġ αÏģ",
+      "Ġα Ïģ",
+      "ा à¤Ĺर",
+      "ाà¤Ĺ र",
+      "i cÃŃch",
+      "ic ÃŃch",
+      "icÃŃ ch",
+      "Ġpolož ky",
+      "ê³ ¨",
+      "æĥ Ĭ",
+      "Ġö ner",
+      "Ġön er",
+      "Ġöne r",
+      "Ġx ảy",
+      "ĠÙĨظ رÛĮ",
+      "ĠÙĨظر ÛĮ",
+      "Ġngh á»ī",
+      "Ġ à¸ľà¸¥",
+      "Ġà¸ľ ล",
+      "ĠÑĢ олÑĮ",
+      "ĠÑĢ емон",
+      "ĠÑĢе мон",
+      "ص ÙĪر",
+      "V ý",
+      "ĠS á»ij",
+      "ĠÑģ ÑĥÑĩаÑģ",
+      "ĠÑģÑĥ ÑĩаÑģ",
+      "ห ย",
+      "ĠاÙĤ داÙħ",
+      "Ġer kek",
+      "Ġerk ek",
+      "Ġ èį",
+      "Ġè į",
+      "ĠÄij ôi",
+      "ĠÄijô i",
+      "Ġкон кÑĢеÑĤ",
+      "æ¬ Ĭ",
+      "Ġ 缮",
+      "ĠçĽ ®",
+      "ÙĪ Ú©",
+      "lı kla",
+      "lık la",
+      "Ġp azar",
+      "Ġpa zar",
+      "Ġpaz ar",
+      "ά νÏī",
+      "άν Ïī",
+      "Ñĥ ÑģÑĤа",
+      "ÑĥÑģ ÑĤа",
+      "ÑĥÑģÑĤ а",
+      "ãģª ãģŁ",
+      "Ġ ÙĩÙĨÚ¯",
+      "ĠÙĩ ÙĨÚ¯",
+      "ĠÙĩÙĨ Ú¯",
+      "Ю ÐĽ",
+      "Ġв елик",
+      "Ġвели к",
+      "Ġвел ик",
+      "Ġве лик",
+      "Ġnh Ỽ",
+      "Ġ ìĭľíĹĺ",
+      "Ġìĭľ íĹĺ",
+      ") ìĿĺ",
+      "Ùĥ Ùĩ",
+      "Ġ à¹ģล",
+      "Ġà¹ģ ล",
+      "Û² Ûµ",
+      "Ġار ساÙĦ",
+      "Ġ окÑĢем",
+      "Ġок ÑĢем",
+      "ά ÏĤ",
+      "ĠвÑĭ Ñħод",
+      "vÄĽt Å¡ÃŃ",
+      "ĠØ· رÛĮÙĤ",
+      "Ġк оÑĢоÑĤ",
+      "ĠкоÑĢ оÑĤ",
+      "Ġко ÑĢоÑĤ",
+      "н ÑĶ",
+      "ãĤĬ ãģ«",
+      "Ġ ä¹Ł",
+      "Ġä¹ Ł",
+      "ØŃ Øµ",
+      "ع ÙħاÙĦ",
+      "عÙħ اÙĦ",
+      "oloj ik",
+      "oloji k",
+      "Ġر ابط",
+      "Ġرا بط",
+      "çª Ĺ",
+      "Ġg iz",
+      "Ġgi z",
+      "Ġch ết",
+      "Ġchế t",
+      "æ¨ £",
+      "ส à¸ĩ",
+      "ÙĪ تر",
+      "ÙĪت ر",
+      "ĠÑı кÑĥ",
+      "ĠÑıк Ñĥ",
+      "çı¾ åľ¨",
+      "ĠоÑĤ ÑģÑĥÑĤÑģÑĤв",
+      "Ġ ê´ijê³ł",
+      "Ġê´ij ê³ł",
+      "Ñĸ ки",
+      "Ñĸк и",
+      "åĢ ¤",
+      "è® ¢",
+      "Ġ dle",
+      "Ġd le",
+      "Ġdl e",
+      "Ġ åł",
+      "Ġå ł",
+      "æ¨ ©",
+      "è® ¯",
+      "åĶ IJ",
+      "Ġ âĸ²",
+      "Ġâĸ ²",
+      "Ġli stop",
+      "Ġlist op",
+      "Ġlis top",
+      "Ġdat ové",
+      "Ġdato vé",
+      "ÏĦ ÏĮÏĤ",
+      "ÏĦÏĮ ÏĤ",
+      "Ġ оз",
+      "Ġо з",
+      "δ ÏĮ",
+      "èĴ Ĥ",
+      "Û³ Û°",
+      "ãĥª ãĥ¼ãĤº",
+      "ãĥªãĥ¼ ãĤº",
+      "ĠÙħر کز",
+      "ĠÙħرک ز",
+      "ĠпÑĸдÑĤ ÑĢим",
+      "ĠÑģ ез",
+      "é¡ ĺ",
+      "Ġol acaktır",
+      "Ġolacak tır",
+      "æº Ģ",
+      "ĠÏĢεÏģι ο",
+      "ĠÏĢεÏģ ιο",
+      "ĠÏĢε Ïģιο",
+      "ÑĦ а",
+      "ÏĦ ηÏĥη",
+      "ÏĦη Ïĥη",
+      "ç» ĥ",
+      "Ðŀ д",
+      "δ Ïħ",
+      "âĦ ĥ",
+      "Ġl ắp",
+      "ĠëĦ ĺ",
+      "Ø· اÙĨ",
+      "ĠÙ¾ ÙĨج",
+      "ĠÙ¾ÙĨ ج",
+      "ت اÙĨ",
+      "تا ÙĨ",
+      "i lerinin",
+      "iler inin",
+      "ileri nin",
+      "ilerin in",
+      "ilerini n",
+      "Ã Ī",
+      "ĠØ® ÙĪØ´",
+      "ĠØ®ÙĪ Ø´",
+      "Ġ ìĬ¬",
+      "ĠìĬ ¬",
+      "ĠاÙĦر ئÙĬس",
+      "ẵ n",
+      "Ġ شار",
+      "ĠØ´ ار",
+      "e ru",
+      "er u",
+      "ж ив",
+      "жи в",
+      "à¸Ļ าย",
+      "à¸Ļา ย",
+      "Ġs ẻ",
+      "Ġà¤ī à¤ļ",
+      "ãģ« ãģĭ",
+      "ç¡ Ģ",
+      "Ġyür üt",
+      "ĠС еÑĢг",
+      "ĠСеÑĢ г",
+      "Ġ каÑģ",
+      "Ġк аÑģ",
+      "Ġка Ñģ",
+      "ĠÐij ог",
+      "Ġìĸ´ëĸ »ê²Į",
+      "Ġ çŁ³",
+      "Ġç Ł³",
+      "ĠçŁ ³",
+      "Ġöl dür",
+      "Ġöld ür",
+      "л Ñĸв",
+      "лÑĸ в",
+      "Ġho Ãłng",
+      "ĠhoÃłn g",
+      "Ġb á»Ļt",
+      "Ġbá»Ļ t",
+      "çŀ ¬",
+      "Ġ 침",
+      "Ġì¹ ¨",
+      "N ếu",
+      "Ġne vy",
+      "Ġnev y",
+      "Ġ ìľ¤",
+      "Ġìľ ¤",
+      "Ġsou Äįást",
+      "ıs ıyla",
+      "ısı yla",
+      "Ġtük et",
+      "b ou",
+      "bo u",
+      "Ġд во",
+      "Ġдв о",
+      "س ط",
+      "å½ĵ çĦ¶",
+      "ãĥ ¨",
+      "Ġ زادÙĩ",
+      "Ġز ادÙĩ",
+      "Ġزاد Ùĩ",
+      "Ġ éĥ¨",
+      "Ġéĥ ¨",
+      "Ġر ÙĪØŃ",
+      "ĠرÙĪ ØŃ",
+      "Ġ ï¼į",
+      "Ġï¼ į",
+      "ĠмÑĸÑģ ÑĨев",
+      "ĠмÑĸÑģÑĨе в",
+      "θ εν",
+      "θε ν",
+      "ภĨ",
+      "л енÑĸ",
+      "лен Ñĸ",
+      "ле нÑĸ",
+      "çį ²",
+      "ĠH OH",
+      "ĠHO H",
+      "s ın",
+      "sı n",
+      "ิ à¸ķร",
+      "ิà¸ķ ร",
+      "è² ¡",
+      "ĠpÅĻ id",
+      "ĠpÅĻi d",
+      "à¹Ģ หà¸Ļ",
+      "à¹Ģห à¸Ļ",
+      "l ý",
+      "è¨Ģ èijī",
+      "ठĵ",
+      "âĸįâĸįâĸįâĸį âĸįâĸįâĸįâĸį",
+      "ب اب",
+      "با ب",
+      "ãĥ¼ ãĥķ",
+      "ãĥ¼ãĥ ķ",
+      "м оÑĢ",
+      "мо ÑĢ",
+      "è¿ĩ ç¨ĭ",
+      "Ġ ãĥĽ",
+      "Ġãĥ Ľ",
+      "ĠK inh",
+      "ĠKi nh",
+      "ĠKin h",
+      "íķľ êµŃ",
+      "Ġìĸ´ëĸ ¤",
+      "Ġв лиÑı",
+      "Ġf ayd",
+      "Ġfa yd",
+      "Ġص ÙĨع",
+      "ĠصÙĨ ع",
+      "Ġal ır",
+      "Ġet tiÄŁi",
+      "Ġetti ÄŁi",
+      "ά κ",
+      "im izin",
+      "imi zin",
+      "imiz in",
+      "imizi n",
+      "ัà¸ļ à¸ľ",
+      "Ġзем елÑĮ",
+      "ÙĬÙĦ اد",
+      "ÙĬÙĦا د",
+      "æ¶ ¨",
+      "çı ł",
+      "ĠØ£ غ",
+      "Ġz ku",
+      "Ġzk u",
+      "âĢŀ A",
+      "า à¸ķร",
+      "าà¸ķ ร",
+      "a yi",
+      "ay i",
+      "ãĥ© ãĤ¹",
+      "и ло",
+      "ил о",
+      "ĠÄij á»į",
+      "ĠÄijá» į",
+      ". Îķ",
+      "ë ľ",
+      "ĠμÏĢο Ïģεί",
+      "å¸ ¶",
+      "Ġar tır",
+      "Ġart ır",
+      "า à¸į",
+      "าภį",
+      "å¿ ĺ",
+      "ta lya",
+      "tal ya",
+      "Ġpoz dÄĽji",
+      "ĠpozdÄĽ ji",
+      "Ġnep ÅĻ",
+      "Ġ æ¹",
+      "Ġæ ¹",
+      "اÙĩ ÛĮ",
+      "Ġsat ın",
+      "Ġ ë²Į",
+      "Ġë² Į",
+      "ج ÙĪ",
+      "ä¸Ģ 缴",
+      "ìķĦ ìļĶ",
+      "Âł P",
+      "Ġ ØĽ",
+      "ĠØ Ľ",
+      "Ġп ал",
+      "Ġпа л",
+      "表 æĥħ",
+      "Ġc anlı",
+      "Ġcan lı",
+      "æĪIJ 为",
+      "ÙĪ ÙĨا",
+      "ÙĪÙĨ ا",
+      "Ġ âĢ¯",
+      "ĠâĢ ¯",
+      "à¸ģำ ล",
+      "åį ĸ",
+      "Ġ αÏĥ",
+      "Ġα Ïĥ",
+      "и нок",
+      "ин ок",
+      "а мп",
+      "ам п",
+      "ล à¸Ńà¸ĩ",
+      "ÙĤ ÙĤ",
+      "ĠпÑĢо Ñħод",
+      "ĠпÑĢоÑħ од",
+      "ãĤĦãĤĭ 夫",
+      "Ïĩ η",
+      "è² ¨",
+      "ĠÙģ ÙĬÙĩ",
+      "ĠÙģÙĬ Ùĩ",
+      "ÙĬ رÙĬ",
+      "ÙĬر ÙĬ",
+      "Ġвне ÑĪ",
+      "Ġk arak",
+      "Ġka rak",
+      "Ġkar ak",
+      "Ġkara k",
+      "Ø« ÙĦ",
+      "Ùĩ ÙĪرÛĮ",
+      "ÙĩÙĪر ÛĮ",
+      "اÙĪر Ù¾",
+      "ĠÄij á»ı",
+      "ĠÄijá» ı",
+      "ji Å¡tÄĽnÃŃ",
+      "jiÅ¡tÄĽ nÃŃ",
+      "ت بر",
+      "تب ر",
+      "Ġê·¸ ê²ĥ",
+      "Ġg ül",
+      "Ġgü l",
+      "Ġпо кÑĥп",
+      "Ġпок Ñĥп",
+      "l ilik",
+      "li lik",
+      "lili k",
+      "lil ik",
+      "Ġz da",
+      "Ġzd a",
+      "åīį ãģ«",
+      "ĠÙħÙĩ ÙĨد",
+      "Ġ ÎijÎĿ",
+      "ĠÎij ÎĿ",
+      "ĠÚ©ÛĮÙĦ ÙĪÙħتر",
+      "Ġp ÅĻeh",
+      "ĠpÅĻ eh",
+      "ĠpÅĻe h",
+      "а леж",
+      "ал еж",
+      "але ж",
+      "Ġka yn",
+      "Ġkay n",
+      "è® ¿",
+      "Ġì¤ij êµŃ",
+      "ĠÑĪиÑĢ ок",
+      "ĠÑĪи ÑĢок",
+      "ĠÙħشار کت",
+      "âĢ Ĥ",
+      "Ġ íŤ",
+      "ĠíĹ ¤",
+      "Ġìłľ íĴĪ",
+      "ĠØ´ ÛĮر",
+      "ĠØ´ÛĮ ر",
+      "es inden",
+      "esinde n",
+      "esin den",
+      "ÑĢ ÑĸÑĩ",
+      "ÑĢÑĸ Ñĩ",
+      "èı ²",
+      "Ñģ коÑĢ",
+      "Ñģк оÑĢ",
+      "Ñģко ÑĢ",
+      "e tik",
+      "et ik",
+      "eti k",
+      "า à¸ľ",
+      "าภľ",
+      "ĠØ· بÛĮ",
+      "Ġطب ÛĮ",
+      "κ ÎŃ",
+      "ĠìŀĪ ìĸ´",
+      "Ġ dek",
+      "Ġd ek",
+      "Ġde k",
+      "ÑĢ Ñĸй",
+      "ÑĢÑĸ й",
+      "å ĨĴ",
+      "åĨ Ĵ",
+      "nÃŃ ci",
+      "® ¤",
+      "ĠÙħر تب",
+      "Ġy azı",
+      "Ġya zı",
+      "Ġyaz ı",
+      "üs lü",
+      "ìľ¼ ëĤĺ",
+      "e lerine",
+      "eler ine",
+      "ele rine",
+      "eleri ne",
+      "elerin e",
+      "Ġy oÄŁun",
+      "Ġб ак",
+      "Ġба к",
+      "ÎĻ ÎŁ",
+      "ά λÏħ",
+      "άλ Ïħ",
+      "ç´ Ļ",
+      "ĠÑĢÑĥ ками",
+      "ĠÑĢÑĥк ами",
+      "Ġçöz üm",
+      "ìłķ ìĿĦ",
+      "Ġgüç lü",
+      "λ ÏĮ",
+      "Ġb elli",
+      "Ġbe lli",
+      "Ġbel li",
+      "Ġbell i",
+      "ÃŃ Å¡e",
+      "ÃŃÅ¡ e",
+      "ĠÏĮ ÏĢÏīÏĤ",
+      "Ġna Å¡",
+      "Ġp ár",
+      "Ġpá r",
+      "ÑĪ ÑĤ",
+      "Ġ ìĨ¡",
+      "ĠìĨ ¡",
+      "à¥Ĥ रत",
+      "à¥Ĥर त",
+      "ĠÏĢολ Ïį",
+      "ĠÏĢο λÏį",
+      "ç° ¡",
+      "èĤ ¯",
+      "æ¹ ¾",
+      "Ġ äºĭ",
+      "Ġब स",
+      "Ġ무 ë£Į",
+      "д ина",
+      "дин а",
+      "ди на",
+      "èª °",
+      "л еж",
+      "ле ж",
+      "Ġú ÅĻad",
+      "ĠоÑģвÑĸ ÑĤи",
+      "ĠоÑģвÑĸÑĤ и",
+      "ĠвÑĸд Ñĩ",
+      "ĠпÑĢи знаÑĩ",
+      "ĠпÑĢизна Ñĩ",
+      "ĠпÑĢиз наÑĩ",
+      "çĶ³ 请",
+      "' ya",
+      "'y a",
+      "ä¿ Ĭ",
+      "Ġ ÙĬÙĪÙĨ",
+      "ĠÙĬ ÙĪÙĨ",
+      "ĠÙĬÙĪ ÙĨ",
+      "Ġس ع",
+      "Ġ ÐĶаÑĤа",
+      "ĠÐĶ аÑĤа",
+      "ĠÐĶа ÑĤа",
+      "è¨Ģ ãģĨ",
+      "ĠØŃ ØªÛĮ",
+      "ĠJi ÅĻÃŃ",
+      "ĠÐ¥ аÑĢ",
+      "éĻ Ī",
+      "à¹Ī าà¸Īะ",
+      "à¹Īา à¸Īะ",
+      "Ġsay esinde",
+      "ĠÑĤÑĢеб а",
+      "ê°Ģ ì§Ģ",
+      "Ġy emek",
+      "Ġye mek",
+      "Ġyem ek",
+      "Ġyeme k",
+      "è¦ ļ",
+      "ặ n",
+      "ãĢĢ ãĢĢãĢĢãĢĢĠãĢĢ",
+      "ãĢĢãĢĢ ãĢĢãĢĢĠãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢ ĠãĢĢ",
+      "ãĢĢãĢĢãĢĢ ãĢĢĠãĢĢ",
+      "Ġ 举",
+      "Ġä¸ ľ",
+      "Ġ ÙĪا",
+      "ĠÙĪ ا",
+      "ĠÙħ ÙĪس",
+      "ĠÙħÙĪ س",
+      "Ġком анд",
+      "Ġкоман д",
+      "Ġseç im",
+      "Ñĩ еннÑı",
+      "Ñĩен нÑı",
+      "Ġtot iž",
+      "Ġr á»Ńa",
+      "ı a",
+      "Ø¢ Ùħ",
+      "ÑĨ Ñĸон",
+      "ÑĨÑĸ он",
+      ": :::::::::::",
+      ":: ::::::::::",
+      ":::: ::::::::",
+      ":::::: ::::::",
+      ":::::::: ::::",
+      "::: :::::::::",
+      "::::: :::::::",
+      "::::::: :::::",
+      "::::::::: :::",
+      ":::::::::: ::",
+      "::::::::::: :",
+      "ÐĿ ÐIJ",
+      "ı za",
+      "ız a",
+      "h end",
+      "he nd",
+      "hen d",
+      "Ġफ र",
+      "ัà¸Ķ à¸ģาร",
+      "Ġ Cách",
+      "ĠC ách",
+      "ĠCác h",
+      "ĠпоÑĤ Ñĸм",
+      "Ġá¼ Ģ",
+      "ا ÙĦا",
+      "اÙĦ ا",
+      "á» ¡",
+      "ر ÛĮÙħ",
+      "رÛĮ Ùħ",
+      "å® «",
+      "Ġز ÙħÛĮÙĨ",
+      "ĠزÙħ ÛĮÙĨ",
+      "ÑĢ еÑģÑĤ",
+      "ÑĢе ÑģÑĤ",
+      "ÑĢеÑģ ÑĤ",
+      "б аÑĩ",
+      "ба Ñĩ",
+      "Ùĩر ست",
+      "н ог",
+      "но г",
+      "ï¼Į 大",
+      "ĠëĺIJ íķľ",
+      "Ġz ůst",
+      "Ġzů st",
+      "ĠÐĴ она",
+      "ĠÐĴо на",
+      "å¤ĩ 份",
+      "Ġ اÙģت",
+      "Ġا Ùģت",
+      "ĠاÙģ ت",
+      "o je",
+      "oj e",
+      "Ñģк ÑĸлÑĮки",
+      "Ġnh ẹ",
+      "Ġк еÑĢÑĸв",
+      "ĠкеÑĢ Ñĸв",
+      "á¿ ¦",
+      "æĸ¹ æ¡Ī",
+      "з аÑĨиÑı",
+      "за ÑĨиÑı",
+      "ĠвÑĸдповÑĸд но",
+      "ĠвÑĸдпов Ñĸдно",
+      "ãĤ¤ ãĤ¹",
+      "г ал",
+      "га л",
+      "ĠобÑĭ Ñĩно",
+      "ĠобÑĭÑĩ но",
+      "اÙĪرپ ÙĪÛĮÙĨت",
+      "å® ľ",
+      "l osti",
+      "lo sti",
+      "los ti",
+      "lost i",
+      "è¿Ľ åħ¥",
+      "uyor du",
+      "벤 íĬ¸",
+      "æīĭ ãĤĴ",
+      "ÐŁ од",
+      "ÐŁÐ¾ д",
+      "ĠÙħØŃ Ø¯ÙĪد",
+      "Ġ Ø¢Ùħد",
+      "ĠØ¢ Ùħد",
+      "ĠØ¢Ùħ د",
+      "ar akter",
+      "arak ter",
+      "çļĦ 大",
+      "Ġsı cak",
+      "l ant",
+      "la nt",
+      "lan t",
+      "Ġd ấu",
+      "ĠÙĨ Ú©",
+      "èĢħ ãģ®",
+      "Ġkend ini",
+      "Ġkendi ni",
+      "Ġп аÑĨи",
+      "Ġпа ÑĨи",
+      "Ġ 기íĥĢ",
+      "Ġ기 íĥĢ",
+      "ĠвмеÑģÑĤ е",
+      "в аеÑĤÑģÑı",
+      "ва еÑĤÑģÑı",
+      "ваеÑĤ ÑģÑı",
+      "Ġ ë§ī",
+      "Ġë§ ī",
+      "ĠchvÃŃ li",
+      "Ø® ÛĮ",
+      "ÙĦ ع",
+      "n ÃŃky",
+      "nÃŃ ky",
+      "nÃŃk y",
+      "､ :",
+      "ëIJľ ëĭ¤",
+      "ì§ ķ",
+      "Ġк вÑĸÑĤ",
+      "Ġкв ÑĸÑĤ",
+      "¨ ìĸ´",
+      "l iž",
+      "li ž",
+      "Ġë¹Ħë°Ģ ê¸Ģ",
+      "Ġkh á»iji",
+      "Ġ ë°©ìĨ¡",
+      "Ġë°© ìĨ¡",
+      "e chan",
+      "ec han",
+      "ech an",
+      "echa n",
+      "Ġзакон одав",
+      "Ġа кÑĤ",
+      "Ġак ÑĤ",
+      "문 ìłľ",
+      "ĠN ó",
+      "Ġ çĤ¹",
+      "Ġç Ĥ¹",
+      "ĠçĤ ¹",
+      "hled em",
+      "hle dem",
+      "ĠÑģво ÑĹÑħ",
+      "ĠÑģвоÑĹ Ñħ",
+      "Ġر ÙĤÙħ",
+      "ĠرÙĤ Ùħ",
+      "æĽ ¼",
+      "ि वर",
+      "िव र",
+      "åİ ļ",
+      "ĠÐļ од",
+      "ĠÐļо д",
+      "à¤Ń à¤Ĺ",
+      "ìŀIJ ëĬĶ",
+      "à¸Ļ ม",
+      "Ñĥ Ñģа",
+      "ÑĥÑģ а",
+      "Ġg ünü",
+      "Ġgün ü",
+      "ĠÄij ÃŃch",
+      "Ġtr ữ",
+      "å ·»",
+      "å· »",
+      "éĵ¶ è¡Į",
+      "ØŃ ÙĨ",
+      "è® ¨",
+      "γ Ïĩ",
+      "á½ ¸",
+      "a larında",
+      "alar ında",
+      "aları nda",
+      "aların da",
+      "Ġk af",
+      "Ġka f",
+      "ÙĪ اج",
+      "ÙĪا ج",
+      "ĠиÑģ клÑİÑĩ",
+      "ĠиÑģк лÑİÑĩ",
+      "Ġnh iá»ħ",
+      "á»į t",
+      "ĠìĽ ¹",
+      "Ġ éĿ¢",
+      "ĠéĿ ¢",
+      "ãģ® ãģĮ",
+      "Ġм ало",
+      "Ġмал о",
+      "Ġма ло",
+      "Ñĸ лÑĸ",
+      "Ñĸл Ñĸ",
+      "Ġ biên",
+      "Ġb iên",
+      "Ġbi ên",
+      "n ému",
+      "né mu",
+      "ném u",
+      "пÑĢи меÑĢ",
+      "пÑĢ имеÑĢ",
+      "âĸł âĸł",
+      "Ġk amp",
+      "Ġka mp",
+      "Ġkam p",
+      "Ġ веÑī",
+      "Ġв еÑī",
+      "Ġве Ñī",
+      "Äį em",
+      "Äįe m",
+      "à¥ģ ध",
+      "à¥ģठ§",
+      "æŁ »",
+      "ت ÙĪÙĨ",
+      "تÙĪ ÙĨ",
+      "åıª æľī",
+      "ãģ¯ ãģĦ",
+      "Ġ รวม",
+      "Ġร วม",
+      "ãĤ ŀ",
+      "ãģĻ ãĤĭãģ¨",
+      "ãģĻãĤĭ ãģ¨",
+      "å¾Ī å¤ļ",
+      "à¹Ī à¸ķ",
+      "ĠsvÄĽt a",
+      "ĠsvÄĽ ta",
+      "Ġ ê°Ģ격",
+      "Ġê°Ģ 격",
+      "Ú¯ Ùĩ",
+      "an daÅŁ",
+      "and aÅŁ",
+      "anda ÅŁ",
+      "ãĥª ãĤ¹",
+      "Ïī μα",
+      "ĠØ® ÙĪب",
+      "ĠØ®ÙĪ ب",
+      "ç´ ħ",
+      "Ñĩ иÑģ",
+      "Ñĩи Ñģ",
+      "ì¢ Į",
+      "ĠØŃض رت",
+      "Ġви ÑĢÑĸÑĪ",
+      "پ ر",
+      "Ġtý d",
+      "Ġkon tro",
+      "Ġkont ro",
+      "д ейÑģÑĤв",
+      "ãģŁãĤģ ãģ«",
+      "ì ī",
+      "мини ÑģÑĤÑĢа",
+      "мин иÑģÑĤÑĢа",
+      "âĢ ¯",
+      "åī ij",
+      "ни ÑĨÑĸ",
+      "ниÑĨ Ñĸ",
+      "å¦ ĩ",
+      "Ġ лиÑĪ",
+      "Ġл иÑĪ",
+      "Ġли ÑĪ",
+      "ãģ£ ãģ¦ãĤĭ",
+      "ãģ£ãģ¦ ãĤĭ",
+      "на ÑĢÑĥж",
+      "наÑĢ Ñĥж",
+      "Ñī иÑħ",
+      "Ñīи Ñħ",
+      "ÏĦ οκ",
+      "ÏĦο κ",
+      "ov áno",
+      "ová no",
+      "ován o",
+      "تر ÙĦ",
+      "ÑĢ ек",
+      "ÑĢе к",
+      "غ ات",
+      "Ġ omez",
+      "Ġo mez",
+      "Ġom ez",
+      "ì ĵ°",
+      "ĠÃľ l",
+      "ï½ Ĵ",
+      "lı ģını",
+      "lıģ ını",
+      "lıģın ı",
+      "Ġv ượt",
+      "Ġb ÄĽÅ¾",
+      "ĠbÄĽ ž",
+      "Ãľ R",
+      "Ġ ãĥ¾",
+      "Ġãĥ ¾",
+      "ĠdoÄŁ al",
+      "Ġh atır",
+      "Ġha tır",
+      "Ġhat ır",
+      "Ġsv ým",
+      "ì§Ģ ëıĦ",
+      "à¹Ģà¸ł à¸Ĺ",
+      "Ġv ay",
+      "Ġva y",
+      "Ġ æĻĤ",
+      "Ġæ ĻĤ",
+      "ĠæĻ Ĥ",
+      "à¥įव प",
+      "Ġp lo",
+      "Ġpl o",
+      "é¢Ħ è§Ī",
+      "Ġçık tı",
+      "Ġ دÙĨ",
+      "Ġد ÙĨ",
+      "n ánÃŃ",
+      "ná nÃŃ",
+      "ê· Ģ",
+      "íĺ Ģ",
+      "à¸ŀ à¸ļ",
+      "m uÅŁtur",
+      "muÅŁ tur",
+      "å®ĺ æĸ¹",
+      "ĠíĶĦ ë¡ľê·¸ëŀ¨",
+      "éĢŁ 度",
+      "ler dir",
+      "lerdi r",
+      "ÑĩеÑģ кого",
+      "Ñĩе Ñģкого",
+      "ĠÄ°n san",
+      "âĶ ĥ",
+      "Ġà¤ĩत न",
+      "С Ð¡Ðł",
+      "Ġا Ùħر",
+      "ĠاÙħ ر",
+      "Ġkö tü",
+      "Ùģ Ø´",
+      "Ġb oj",
+      "Ġbo j",
+      "ĠÑĨÑĸ ÑĶÑĹ",
+      "Ġsöy lem",
+      "Ġsöyl em",
+      "ни ÑĨÑĭ",
+      "ниÑĨ Ñĭ",
+      "ãĢĤ 她",
+      "âĢĿ .Ċ",
+      "âĢĿ. Ċ",
+      "Ġm ilion",
+      "Ġmil ion",
+      "Ġmi lion",
+      "Ġmili on",
+      "Ġson unda",
+      "Ġsonu nda",
+      "з Ñĥ",
+      "à¥į मà¤ķ",
+      "à¥įम à¤ķ",
+      "人 åı£",
+      "n ÄĽÅ¾",
+      "nÄĽ ž",
+      "ĠÑģ моÑĤ",
+      "ĠÑģм оÑĤ",
+      "Ġкомп лекÑģ",
+      "Ġкомплек Ñģ",
+      "Ġзави Ñģим",
+      "Ġиме ÑİÑĤ",
+      "Ġl ạc",
+      "Ġlạ c",
+      "Ġ hangi",
+      "Ġh angi",
+      "Ġhang i",
+      "Ġhan gi",
+      "ëĶ ©",
+      "åĬ ³",
+      "ĠvÄĽ ci",
+      "ĠvÄĽc i",
+      "е ÑĢов",
+      "еÑĢ ов",
+      "еÑĢо в",
+      "κ Ïģι",
+      "Ġdur umu",
+      "Ġdurum u",
+      "Ġ بÙĪاسطة",
+      "ĠبÙĪ اسطة",
+      "ĠØ£ بÙĬ",
+      "Ġأب ÙĬ",
+      "ĠAÄŁ ustos",
+      "ε Ïĩ",
+      "Ġд иÑĤи",
+      "Ġди ÑĤи",
+      "ĠдиÑĤ и",
+      "ÑĦ ика",
+      "ÑĦи ка",
+      "ÑĦик а",
+      "Ġ NÄĥm",
+      "ĠN Äĥm",
+      "Ġ 기ìĪł",
+      "Ġ기 ìĪł",
+      "Ġhlav nÃŃ",
+      "ä¿ ĥ",
+      "Ġलà¤Ĺ त",
+      "ĠO br",
+      "ĠOb r",
+      ". ย",
+      "ко вод",
+      "ков од",
+      "ково д",
+      "o pis",
+      "op is",
+      "opi s",
+      "Ġ ãĥī",
+      "Ġãĥ ī",
+      "Ġبش ÙĥÙĦ",
+      "н ием",
+      "ни ем",
+      "ние м",
+      "Ġtém ÄĽÅĻ",
+      "ĠاÙĦ ØŃر",
+      "ĠاÙĦØŃ Ø±",
+      "ĠÙĦ ازÙħ",
+      "ĠÙĦا زÙħ",
+      "Ġm ái",
+      "Ġmá i",
+      "i liÄŁi",
+      "ili ÄŁi",
+      "ë³ ¼",
+      "Ġy ık",
+      "Ġyı k",
+      "ç½ ²",
+      "ÑĢ ава",
+      "ÑĢа ва",
+      "ÑĢав а",
+      "Ñī ин",
+      "Ñīи н",
+      "ãģ« 対",
+      "ç²¾ ç¥ŀ",
+      "à¹ī ส",
+      "Ġtem sil",
+      "Ã Ĩ",
+      "ìķ Ķ",
+      "ĠпÑĢавилÑĮ но",
+      "ÑĢ оÑİ",
+      "ÑĢо Ñİ",
+      "Û±Û³ Û¸",
+      "è© ŀ",
+      "اء ة",
+      "ÙĪ ارÙĩ",
+      "ÙĪا رÙĩ",
+      "ÙĪار Ùĩ",
+      "ï¼ ħ",
+      "ĠÐľ ик",
+      "ĠÐľÐ¸ к",
+      "æģ ¶",
+      "æı Ĵ",
+      "ा पन",
+      "ाप न",
+      "ĠÚ©ÛĮÙģ ÛĮت",
+      "ĠT Ãłi",
+      "Ġt iá»ĥu",
+      "ov alo",
+      "ova lo",
+      "oval o",
+      "çĿ ¡",
+      "Ñĩ ил",
+      "Ñĩи л",
+      "Ġ лиÑĤ",
+      "Ġл иÑĤ",
+      "Ġли ÑĤ",
+      "λεÏħ ÏĦα",
+      "Ġ окон",
+      "Ġо кон",
+      "Ġок он",
+      ": :|",
+      ":: |",
+      "в ала",
+      "ва ла",
+      "вал а",
+      "ĠÙħرک زÛĮ",
+      "ĠÙħرکز ÛĮ",
+      "Ġ alÄ±ÅŁ",
+      "Ġa lÄ±ÅŁ",
+      "Ġal Ä±ÅŁ",
+      "Ġдолж но",
+      "Ġдол жно",
+      "æĻĤ 代",
+      "Ġ sert",
+      "Ġs ert",
+      "Ġse rt",
+      "Ġser t",
+      "е ÑĤом",
+      "еÑĤ ом",
+      "ัà¸Ļ ย",
+      "åģ ·",
+      "Ġ vÃŃc",
+      "Ġv ÃŃc",
+      "ĠvÃŃ c",
+      "ĠÑħ оÑĤÑı",
+      "ĠÑħоÑĤ Ñı",
+      "a larını",
+      "alar ını",
+      "aların ı",
+      "len mesi",
+      "lenme si",
+      "ãĥ³ ãĥIJ",
+      "ãĥ³ãĥ IJ",
+      "Ġëª ĩ",
+      "Ġá» ¦y",
+      "ĠاÙĦ کتر",
+      "vy Å¡Å¡ÃŃ",
+      "è² ¬",
+      "주 ìĭľ",
+      "á ÅĻe",
+      "áÅĻ e",
+      "Ġy ere",
+      "Ġye re",
+      "Ġyer e",
+      "ãĤ¢ ãĥ³",
+      "ĠاÙĦس عÙĪد",
+      "ĠØ¢ Ø´",
+      "Ġch óng",
+      "Ġchó ng",
+      "Ġ è»",
+      "Ġè »",
+      "г аÑĶ",
+      "га ÑĶ",
+      "Ġ ãģĤ",
+      "ç¨ ³",
+      "δ εÏĤ",
+      "δε ÏĤ",
+      "缮 çļĦ",
+      "Ġce vap",
+      "Ġcev ap",
+      "Ñģ ÑĤе",
+      "ÑģÑĤ е",
+      "é¡ ¿",
+      "म न",
+      "é¡ ¾",
+      "Ġк ÑĢедиÑĤ",
+      "ĠÙħس تÙĤ",
+      "ĠÙħست ÙĤ",
+      "Ġ миÑĤ",
+      "Ġм иÑĤ",
+      "Ġми ÑĤ",
+      "Ġt á»ĵn",
+      "Ġtá» ĵn",
+      "Ġ جÙĦ",
+      "Ġج ÙĦ",
+      "Ä© a",
+      "ĠاÙĦع ÙĦÙħ",
+      "ĠاÙĦعÙĦ Ùħ",
+      "á ků",
+      "ák ů",
+      "Ġ íķĻêµIJ",
+      "ĠíķĻ êµIJ",
+      "à¸Ĺ à¸Ńà¸ĩ",
+      "ห à¸Ļà¸Ķ",
+      "หà¸Ļ à¸Ķ",
+      "ĠлÑĸÑĤ еÑĢаÑĤÑĥ",
+      "ëIJ ł",
+      "ά ÏģÏĩ",
+      "άÏģ Ïĩ",
+      "ĠÙĤد رت",
+      "ĠÙĤدر ت",
+      "à¸Ļ าà¸ĩ",
+      "à¸Ļา à¸ĩ",
+      "Ġa rac",
+      "Ġar ac",
+      "Ġara c",
+      "Ġj ÃŃd",
+      "ĠjÃŃ d",
+      "Ġtür lü",
+      "íĶ ½",
+      "er siz",
+      "ers iz",
+      "е ним",
+      "ен им",
+      "ени м",
+      "Ġyüz yıl",
+      "Ġ ãģĦ",
+      "ĠÎļ Ïħ",
+      "Ġ æļ",
+      "Ġæ ļ",
+      "Ġp ůj",
+      "Ġpů j",
+      "Ġt á»Ļi",
+      "Ġth iên",
+      "Ġthi ên",
+      "Ä° S",
+      "Ġth úc",
+      "Ġthú c",
+      "æĹ ģ",
+      "ìŀIJ ìĿ¸",
+      "Ġöl üm",
+      "ر ÛĮÙģ",
+      "رÛĮ Ùģ",
+      "ÑĢ еж",
+      "ÑĢе ж",
+      "ص اÙĦ",
+      "ر ÙģØ©",
+      "رÙģ Ø©",
+      "i ếp",
+      "iế p",
+      "Ñı ÑĤиÑı",
+      "ÑıÑĤ иÑı",
+      "ÑıÑĤи Ñı",
+      "Ġpou žit",
+      "á tu",
+      "át u",
+      "为 ä»Ģä¹Ī",
+      "ì ģ",
+      "Ġ krát",
+      "Ġk rát",
+      "Ġkr át",
+      "ĠپرÙĪ ÚĺÙĩ",
+      "Ġrozhod nutÃŃ",
+      "ĠÑĥ нивеÑĢ",
+      "Ñĸй но",
+      "Ġ åij¨",
+      "Ġåij ¨",
+      "Ġk iá»ĥu",
+      "缮 åīį",
+      "ä¿ Ħ",
+      "ÏĦ οι",
+      "ÏĦο ι",
+      "ÑĦеÑĢ ен",
+      "uÅŁ tur",
+      "Ġ nÃŃm",
+      "Ġn ÃŃm",
+      "ĠnÃŃ m",
+      "âĢĮ Ø®",
+      "Ġ ủy",
+      "Ġ ÑģÑĤаÑĤи",
+      "ĠÑģÑĤ аÑĤи",
+      "ĠÑģÑĤаÑĤ и",
+      "ĠÑģÑĤа ÑĤи",
+      "ÑĩеÑģ кий",
+      "Ñĩе Ñģкий",
+      "ÑĩеÑģки й",
+      "Ġj estli",
+      "Ġjest li",
+      "ĠÙ¾ ÙĨ",
+      "Ġob ce",
+      "ĠجÙĩ اÙĨÛĮ",
+      "ĠجÙĩاÙĨ ÛĮ",
+      "едаг ог",
+      "ãģ§ ãģ®",
+      "Ġbu á»Ļc",
+      "ì¹´ ì§Ģëħ¸",
+      "à¹ĩ à¸Ħ",
+      "ĠÄį tvrt",
+      "Ġ ника",
+      "Ġн ика",
+      "Ġни ка",
+      "Ġник а",
+      "Ġвп лив",
+      "Ġд иÑĢ",
+      "Ġди ÑĢ",
+      "ĠÑģоб ÑģÑĤвен",
+      "Ġë§İ ìĿ´",
+      "æ¾ ³",
+      "ÑĢ Ñĥб",
+      "ÑĢÑĥ б",
+      "æ£ ĭ",
+      "声 éŁ³",
+      "ä¹ ĥ",
+      "تÛĮ جÙĩ",
+      "å¹ ¼",
+      "o nya",
+      "on ya",
+      "ony a",
+      "ĠPlan tae",
+      "ĠPlant ae",
+      "Ч ÑĤо",
+      "æIJ Ń",
+      "ä½ľ çĶ¨",
+      "ìħ ¨",
+      "Ġк ÑĢÑĥг",
+      "Ġ ÙĪÙģÙĬ",
+      "ĠÙĪ ÙģÙĬ",
+      "ĠÙĪÙģ ÙĬ",
+      "Ġ ï¼ŀ",
+      "Ġï¼ ŀ",
+      "ÑĪ ки",
+      "Âł Ðľ",
+      "ا Ø´ÛĮ",
+      "اش ÛĮ",
+      "ĠÅŀ ubat",
+      "ĠÅŀu bat",
+      "Ġع شر",
+      "Ġعش ر",
+      "l if",
+      "li f",
+      "Ġpou žitÃŃ",
+      "Ġpoužit ÃŃ",
+      "íĨ ¡",
+      "Ġб лок",
+      "Ġбл ок",
+      "èĢ ¶",
+      "ู ร",
+      "Ġv üc",
+      "Ø´ ÙĪد",
+      "Ø´ÙĪ د",
+      "и ма",
+      "им а",
+      "ни ÑĨип",
+      "ниÑĨ ип",
+      "ìĿ´ ëĵľ",
+      "Ġ âĢIJ",
+      "ĠâĢ IJ",
+      "Ġ назнаÑĩ",
+      "Ġна знаÑĩ",
+      "Ġназ наÑĩ",
+      "Ġназна Ñĩ",
+      "Ġstr any",
+      "Ġstran y",
+      "Ġstra ny",
+      "æ® ¿",
+      "ĠاÙĦ رÙĪ",
+      "ĠاÙĦر ÙĪ",
+      "çº ¸",
+      "åĪ ij",
+      "ï¼Į ä»İ",
+      "Ġ ë©´",
+      "Ġë© ´",
+      "ĠпÑĢовед еннÑı",
+      "Ġh ava",
+      "Ġha va",
+      "Ġhav a",
+      "ĠìĹĨ ìĹĪëĭ¤",
+      "ĠìĹĨìĹĪ ëĭ¤",
+      "å¢ŀ åĬł",
+      "Ú ¾",
+      "ç¼ º",
+      "Ġع بار",
+      "Ġعب ار",
+      "Ġt ắc",
+      "Ġin ÅŁa",
+      "er se",
+      "ers e",
+      "ر ÙĬب",
+      "رÙĬ ب",
+      "Ġá»ķ n",
+      "Ø£ Ø©",
+      "ĠÏĢολ ι",
+      "ĠÏĢο λι",
+      "Ġm ắc",
+      "Ñģ ол",
+      "Ñģо л",
+      "æ´ ŀ",
+      "- го",
+      "-г о",
+      "ç¨ĭ 度",
+      "ĠвикоÑĢиÑģÑĤ аннÑı",
+      "âĢŀ ظ",
+      "e lerinde",
+      "eler inde",
+      "eleri nde",
+      "elerin de",
+      "ĠNh Æ°ng",
+      "ĠNhÆ° ng",
+      "st ÅĻed",
+      "Ġhasta lık",
+      "Ġhast alık",
+      "à¹ī à¹Ģà¸Ľ",
+      "Ġd efa",
+      "Ġde fa",
+      "Ġdef a",
+      "Ġ زÙĬ",
+      "Ġز ÙĬ",
+      "اط ÙĤ",
+      "Ġп ÑĢой",
+      "ĠпÑĢ ой",
+      "ĠпÑĢо й",
+      "Ġок ÑĢÑĥг",
+      "ν ια",
+      "νι α",
+      "l adu",
+      "la du",
+      "lad u",
+      "k oli",
+      "ko li",
+      "kol i",
+      "Ġ oÄŁ",
+      "Ġo ÄŁ",
+      "Ġви Ñģок",
+      "ĠвиÑģ ок",
+      "Ð ĩ",
+      "çĽ ĸ",
+      "ãĤı ãģij",
+      "ãĥ¼ ãĥģ",
+      "ãĥ¼ãĥ ģ",
+      "æ¡ ¥",
+      "ĠÅ¡kol y",
+      "ĠÅ¡k oly",
+      "i tom",
+      "it om",
+      "ito m",
+      "Ġت ØŃص",
+      "ĠتØŃ Øµ",
+      "a lara",
+      "al ara",
+      "ala ra",
+      "alar a",
+      "Ġк ал",
+      "Ġка л",
+      "ĠпÑĢи Ñħод",
+      "Ġ é¦ĸ页",
+      "Ġé¦ĸ 页",
+      "Â į",
+      "ĠÛĮ عÙĨÛĮ",
+      "Ġt ùy",
+      "Ģ ë¡ľ",
+      "볤 ê³ł",
+      "á ze",
+      "áz e",
+      "Ġ ек",
+      "Ġе к",
+      "èħ ¹",
+      "ĠF akat",
+      "ĠFa kat",
+      "ĠFak at",
+      "п о",
+      "ĠÄij á»įc",
+      "ĠÄijá»į c",
+      "å Īĺ",
+      "åĪ ĺ",
+      "áz al",
+      "ÑĤ он",
+      "ÑĤо н",
+      "Ú¯ ÙĪ",
+      "ä¸ Ī",
+      "ìĹ ¼",
+      "ĠÙĦÙĦ Ø£",
+      "ĠE ÄŁer",
+      "åħ±åĴĮ åĽ½",
+      "ذ ر",
+      "Ġd aÄŁ",
+      "Ġda ÄŁ",
+      "è¡Į ä¸ļ",
+      "ê±°ëŀĺ ê°Ģ",
+      "è´Ł è´£",
+      "C ông",
+      "ĠÑĦ илÑĮ",
+      "ĠÑĦил ÑĮ",
+      "Ġ аÑģ",
+      "Ġа Ñģ",
+      "Ġch ẳng",
+      "ним аÑĤÑĮ",
+      "нима ÑĤÑĮ",
+      "Ġif ad",
+      "Ġi fad",
+      "Ġ ìħ",
+      "Ġì ħ",
+      "çĪ µ",
+      "ĠÅĻe Å¡enÃŃ",
+      "åĽ½ 产",
+      "Ġкак ой",
+      "Ġка кой",
+      "Ġम ध",
+      "ĠY ar",
+      "ĠYa r",
+      "ob raz",
+      "obra z",
+      "Ġon emoc",
+      "Ġ âĤ",
+      "Ġâ Ĥ",
+      "åİŁ åĽł",
+      "ĠÙĥ رد",
+      "ĠÙĥر د",
+      "Ġآز اد",
+      "Ġad lı",
+      "ĠH izmet",
+      "ãĥ¼ ãĥij",
+      "ãĥ¼ãĥ ij",
+      "ÙĨ سÙĬØ©",
+      "ÙĨس ÙĬØ©",
+      "Ġв нÑĥÑĤ",
+      "ĠвнÑĥ ÑĤ",
+      "Ġd ále",
+      "Ġdál e",
+      "Ġdá le",
+      "Îķ Î¥",
+      "Ġ ÑĥÑħ",
+      "ĠÑĥ Ñħ",
+      "Ġ ÑĢев",
+      "ĠÑĢ ев",
+      "ĠÑĢе в",
+      "Ġ меÑĪ",
+      "Ġм еÑĪ",
+      "ĠkoÅŁ ul",
+      "ĠاÛĮ راÙĨÛĮ",
+      "ĠاÛĮراÙĨ ÛĮ",
+      "éĺ µ",
+      "Ġ ëıĻìķĪ",
+      "ĠëıĻ ìķĪ",
+      "à¹Ģ à¸Ł",
+      "à¹ĢภŁ",
+      "ëłĪ 벨",
+      "è¨Ń è¨Ī",
+      "p rak",
+      "pr ak",
+      "pra k",
+      "p oÄį",
+      "po Äį",
+      "اع دة",
+      "اعد ة",
+      "Ġas ker",
+      "Ġask er",
+      "ĠÙĪÛĮ ÚĺÙĩ",
+      "ĠÙĪÛĮÚĺ Ùĩ",
+      "ĠТ еÑĢ",
+      "ĠТе ÑĢ",
+      "mak ta",
+      "makt a",
+      "ĠÄįty ÅĻ",
+      "Âł С",
+      "âĢĮÚ©ÙĨ ÙĨد",
+      "ï¼Į 並",
+      "ĠÑĢоÑģ Ñĸй",
+      "Ġu nut",
+      "Ġun ut",
+      "è¿Ļ ä¸Ģ",
+      "o pak",
+      "op ak",
+      "opa k",
+      "èĢ IJ",
+      "Ġз амеÑĤ",
+      "Ġза меÑĤ",
+      "Ġзам еÑĤ",
+      "à¹Į ล",
+      "ب ÙĨ",
+      "Ġ 몰",
+      "Ġëª °",
+      "Ġins anlar",
+      "Ġinsan lar",
+      "åı¯ æĺ¯",
+      "æ¢ ¦",
+      "к од",
+      "ко д",
+      "èĽ Ľ",
+      "kl adnÃŃ",
+      "klad nÃŃ",
+      "ÑĢов од",
+      "ÑĢо вод",
+      "ĠмÑĸ ÑģÑĤа",
+      "ĠмÑĸÑģ ÑĤа",
+      "ĠмÑĸÑģÑĤ а",
+      "åĩº äºĨ",
+      "Ġп аÑģ",
+      "Ġпа Ñģ",
+      "о бов",
+      "об ов",
+      "Ú¯ اÙĩÛĮ",
+      "گاÙĩ ÛĮ",
+      "в ин",
+      "ви н",
+      "à¥įर ध",
+      "Ġком пон",
+      "Ġкомп он",
+      "Ġ аÑĤ",
+      "Ġа ÑĤ",
+      "Ġa det",
+      "Ġad et",
+      "Ġade t",
+      "Ġ ãĥģ",
+      "Ġãĥ ģ",
+      "ĠØ° ات",
+      "ĠØŃ ÙĪ",
+      "Ġtro chu",
+      "à¹ģ หà¸Ļ",
+      "à¹ģห à¸Ļ",
+      "Ġзав жди",
+      "ĠPart isi",
+      "ĠParti si",
+      "ĠS avaÅŁ",
+      "ĠSav aÅŁ",
+      "Ġs ÃŃd",
+      "ĠsÃŃ d",
+      "Ġ Ñģон",
+      "ĠÑģ он",
+      "ĠÑģо н",
+      "ر ÙĬÙģ",
+      "رÙĬ Ùģ",
+      "Ġz cela",
+      "åĺ ´",
+      "ĠÑĦ ÑĥÑĤ",
+      "il erek",
+      "ile rek",
+      "iler ek",
+      "ilere k",
+      "m alıdır",
+      "malı dır",
+      "Ġd á»±a",
+      "Ġdá»± a",
+      "à¸Ĺำ à¸ĩาà¸Ļ",
+      "ĠÙĪÙĦ ÙĥÙĨ",
+      "ĠÙĪÙĦÙĥ ÙĨ",
+      "ãģª ãĤĵãģł",
+      "ãģªãĤĵ ãģł",
+      "ĠÚ© ÙħÛĮ",
+      "ĠÚ©Ùħ ÛĮ",
+      "Ġléka ÅĻ",
+      "Ïģ Ïį",
+      "ج Ùħع",
+      "جÙħ ع",
+      "ın ızı",
+      "ını zı",
+      "ınız ı",
+      "ĠAn adolu",
+      "ãģ«ãĤĪ ãģ£ãģ¦",
+      "Ġê·¸ëŁ¬ ëĤĺ",
+      "Ġ íĮĶ",
+      "ĠíĮ Ķ",
+      "Ñĸ ÑĤÑĮ",
+      "ÑĸÑĤ ÑĮ",
+      "Ġ ¦",
+      "ĠÂ ¦",
+      "ä¸į è¦ģ",
+      "à¸ĸ ม",
+      "Ġ ÙĬد",
+      "ĠÙĬ د",
+      "ĠpÅĻ ep",
+      "ĠpÅĻe p",
+      "Ġ è¦ģ",
+      "Ġè¦ ģ",
+      "ĠпÑĢо екÑĤ",
+      "ĠпÑĢоек ÑĤ",
+      "ĠÑĢе ги",
+      "ĠÑĢег и",
+      "Ġd ạy",
+      "к ового",
+      "ков ого",
+      "ково го",
+      "Ġ ıs",
+      "Ġı s",
+      "ĠK ı",
+      "ĠÙģÙĬ Ùĩا",
+      "ĠÙģÙĬÙĩ ا",
+      "ÛĮ ات",
+      "ÛĮا ت",
+      "ĠÑģÑĤ ала",
+      "ĠÑģÑĤал а",
+      "ĠÑģÑĤа ла",
+      "æĬ ľ",
+      "Ñĥ ÑĢа",
+      "ÑĥÑĢ а",
+      "ĠÙ¾ اÛĮاÙĨ",
+      "ĠپاÛĮ اÙĨ",
+      "Ġپا ÛĮاÙĨ",
+      "Ġitibar en",
+      "а нÑĸÑĹ",
+      "ан ÑĸÑĹ",
+      "анÑĸ ÑĹ",
+      "Ġо ÑĦоÑĢм",
+      "л еÑĩ",
+      "ле Ñĩ",
+      "ε ξ",
+      "æĶ¿ çŃĸ",
+      "Ġ ç½ij",
+      "Ġç½ ij",
+      "å Ĥ¬",
+      "åĤ ¬",
+      "ĠìĿ´ 룰",
+      "Ġkar deÅŁ",
+      "Ñİ Ñīего",
+      "ÑİÑī его",
+      "л ки",
+      "ĠاÛĮ اÙĦات",
+      "ت Ùĩا",
+      "تÙĩ ا",
+      "Ġпод Ñħод",
+      "ĠØŃ ÙĪÙĦ",
+      "ĠØŃÙĪ ÙĦ",
+      "ĠÑģов ÑĢем",
+      "íĿ ¥",
+      "Ġ 詳細",
+      "Ġè© ³ç´°",
+      "ı yı",
+      "ıy ı",
+      "ĠتÙĤ ÙĪ",
+      "æ¯Ķ è¾ĥ",
+      "Ġαν ÏĦι",
+      "Ġ ΣΤ",
+      "ĠΣ Τ",
+      "ji Å¡Å¥",
+      "yn ı",
+      "Ġpo cházet",
+      "- Ðļ",
+      "Ġзав д",
+      "Ùİ Ø³",
+      "ç»ĵ æŀĦ",
+      "Ùħ ار",
+      "Ùħا ر",
+      "ν οι",
+      "νο ι",
+      "ĠÎł εÏģι",
+      "ĠγεÏģ ι",
+      "èĩ £",
+      "Ġna cházÃŃ",
+      "Ġnach ázÃŃ",
+      "ÏĦ Ïİ",
+      "à¥įय त",
+      "u yu",
+      "uy u",
+      "æķ Ĺ",
+      "e bi",
+      "eb i",
+      "Ġë°Ķ ë¡ľ",
+      "ĠгÑĢ н",
+      "ĠاÙĦ اس",
+      "Ġorg án",
+      "Ġ edin",
+      "Ġe din",
+      "Ġed in",
+      "Ġedi n",
+      "åŁ ĥ",
+      "à¹ģ à¸Ħ",
+      "ĠØŃ Ø¯ÙĪد",
+      "ĠØŃد ÙĪد",
+      "ĠдÑĢÑĥг ой",
+      "ĠдÑĢÑĥго й",
+      "оÑģ ков",
+      "оÑģк ов",
+      "ĠS ợ",
+      "ĠpÅĻ ib",
+      "ĠpÅĻi b",
+      "ä¿Ŀ æĬ¤",
+      "Ùħ بر",
+      "Ġ ãĥĨ",
+      "Ġãĥ Ĩ",
+      "Ġd oz",
+      "Ġdo z",
+      "op tera",
+      "opt era",
+      "ิล à¸Ľ",
+      "د ارÛĮ",
+      "دار ÛĮ",
+      "دا رÛĮ",
+      "æĦŁ è§ī",
+      "代 çIJĨ",
+      "ÙĨ دا",
+      "ÙĨد ا",
+      "ا ÙĬا",
+      "اÙĬ ا",
+      "ص ÙĨ",
+      "Ġce lé",
+      "Ġcel é",
+      "Ġ è©ķ",
+      "Ġè© ķ",
+      "à¸ĩ à¸Ļ",
+      "Ġ leh",
+      "Ġl eh",
+      "Ġle h",
+      "èİ· å¾Ĺ",
+      "ãĢĢ ï¾ī",
+      "ĠìĦł ìĪĺ",
+      "르 ëĬĶ",
+      "à¤Ĩ र",
+      "å§Ķ åijĺ",
+      "æĹł çłģ",
+      "Ġ è·",
+      "Ġè ·",
+      "Ġza jÃŃm",
+      "Ġzaj ÃŃm",
+      "ec ké",
+      "eck é",
+      "æ µľ",
+      "æµ ľ",
+      "ĠÑĥ нÑĸвеÑĢÑģиÑĤ",
+      "ĠбÑİдж еÑĤ",
+      "à¥ĩ .",
+      "Ġv stup",
+      "Ġ оÑī",
+      "Ġо Ñī",
+      "Ġ åľĭ",
+      "Ġåľ ĭ",
+      "ä¸ģ 缮",
+      "Ġв едÑĮ",
+      "Ġвед ÑĮ",
+      "Ġë§IJ ìĿĦ",
+      "Ġtek nik",
+      "Ġtekn ik",
+      "ãĢĢ ï½Į",
+      "ãĢĢï½ Į",
+      "ĠпÑĸд виÑī",
+      "ĠÑģвÑıз и",
+      "ĠÑģвÑı зи",
+      "Ġتر جÙħ",
+      "Â ī",
+      "ĠÄij âu",
+      "Ñĸ Ñĩного",
+      "ÑĸÑĩ ного",
+      "å°ij å¹´",
+      "e cta",
+      "ect a",
+      "ec ta",
+      "ि लत",
+      "िल त",
+      "ι οÏĤ",
+      "ιο ÏĤ",
+      "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "t eg",
+      "te g",
+      "á» īnh",
+      "á»ī nh",
+      "¯ ¿",
+      "Ġne bu",
+      "Ġneb u",
+      "ÙĬ ÙĬÙĨ",
+      "о ÑıÑĤ",
+      "оÑı ÑĤ",
+      "é¤ Ĭ",
+      "ĠاÙĤتص ادÛĮ",
+      "ĠاÙĤتصاد ÛĮ",
+      "âĢĻ nun",
+      "âĢĻn un",
+      "ĠÐĴ Ñĸк",
+      "Ġng Äĥn",
+      "ëĮĢ íķĻêµIJ",
+      "ëĮĢíķĻ êµIJ",
+      "é ı",
+      "़ र",
+      "ا باÙĨ",
+      "اب اÙĨ",
+      "Ùİ Ùĥ",
+      "Ġet kil",
+      "Ġetk il",
+      "Ġetki l",
+      "Ġch ắn",
+      "Ġë°ľ ìĥĿ",
+      "Ġtam amen",
+      "Ġtamam en",
+      "ĠÙħØŃ ÛĮØ·",
+      "ü lü",
+      "ül ü",
+      "åģ¥ 康",
+      "ĠÑĢаÑģÑĤ ениÑı",
+      "ÏĢο ί",
+      "Ġ è¶ħ",
+      "Ġè¶ ħ",
+      "á Äį",
+      "ĠìĻ¸ ë¶Ģ",
+      "ĠØ® ÛĮÙĦÛĮ",
+      "ĠØ®ÛĮ ÙĦÛĮ",
+      "Ġد ÙĪست",
+      "ĠدÙĪ ست",
+      "à¹Ģà¸Ĥ à¸ķ",
+      "Ġk alan",
+      "Ġka lan",
+      "Ġkal an",
+      "ë¨ ¼",
+      "a vÄĽ",
+      "av ÄĽ",
+      "문 íĻĶ",
+      "Ġди аг",
+      "ĠÙĨ ÙĪÙĬس",
+      "ĠÙĨÙĪ ÙĬس",
+      "íķ ij",
+      "à¸ŀ าะ",
+      "ëĭ¤ ê°Ģ",
+      "Ġn iá»ĩm",
+      "Ġس ÙĪÙħ",
+      "ĠسÙĪ Ùħ",
+      "- м",
+      "à¸Ķำ à¹Ģà¸Ļ",
+      "à¹ĩ ว",
+      "ãĢĤ ãģĵãģ®",
+      "ç¯ ī",
+      "Width Space",
+      "Zero WidthSpace",
+      "ائ ÙħØ©",
+      "ائÙħ Ø©",
+      "à¹Ħà¸ĭ à¸ķ",
+      "ä¸ĭè½½ 次æķ°",
+      "ä¼¼ ä¹İ",
+      "ĠÑĤ в",
+      "Ġzá kaz",
+      "Ġج دا",
+      "Ġجد ا",
+      "Ġg ider",
+      "Ġgi der",
+      "Ġgid er",
+      "ãĥ¼ ãĥĵ",
+      "ãĥ¼ãĥ ĵ",
+      "n ů",
+      "Ġë§ģ íģ¬",
+      "ĠdÃ¼ÅŁ ük",
+      "Ñĥ нок",
+      "Ñĥн ок",
+      "Ġt óc",
+      "ĠÑĤ ÑĢÑĥб",
+      "ĠÑĤÑĢ Ñĥб",
+      "ĠÑĤÑĢÑĥ б",
+      "о кÑģ",
+      "ок Ñģ",
+      "Ġtr ải",
+      "Ġtrả i",
+      "Ġm iá»ħn",
+      "Ġth Æ°á»Ľc",
+      "Ġnh áºŃt",
+      "Âł D",
+      "m asının",
+      "mas ının",
+      "masını n",
+      "è¼ ª",
+      "ĠÎĿ ο",
+      "er ç",
+      "Ġdok once",
+      "Ġdokon ce",
+      "ĠG üven",
+      "ĠGü ven",
+      "ov aná",
+      "ova ná",
+      "ovan á",
+      "е зд",
+      "ез д",
+      "Ñĸ нÑĮ",
+      "Ñĸн ÑĮ",
+      "èģ ²",
+      "اÙĦ Ø£",
+      "ï¼Į ä½Ĩæĺ¯",
+      "ï¼Įä½Ĩ æĺ¯",
+      "Ġпол ноÑģÑĤÑĮÑİ",
+      "Port ály",
+      "ĠØŃ Ø§Ùģظ",
+      "à¥Ĥ à¤ķ",
+      "ÑĢ Ñĥн",
+      "ÑĢÑĥ н",
+      "人 çī©",
+      "Ġa çı",
+      "Ġaç ı",
+      "Ġp oru",
+      "Ġpo ru",
+      "Ġpor u",
+      "er iod",
+      "eri od",
+      "ĠAmer ika",
+      "ĠAmerik a",
+      "çĩ Ł",
+      "Ġ رÙĪد",
+      "Ġر ÙĪد",
+      "ĠرÙĪ د",
+      "ĠкÑĢов и",
+      "ÙĪ ÙĤت",
+      "ÙĪÙĤ ت",
+      "éĺ ¶",
+      "ãĥ»âĶģ ãĥ»âĶģ",
+      "ر ÙĬÙħ",
+      "رÙĬ Ùħ",
+      "åİĨ åı²",
+      "ä¸ ¸",
+      "Ġзн овÑĥ",
+      "Ġзнов Ñĥ",
+      "ĠÑģво его",
+      "ĠÑģвое го",
+      "бÑĥд ÑĮ",
+      "ĠØŃ Ø¬Ùħ",
+      "ĠØŃج Ùħ",
+      "ĠδÏį ο",
+      "ìķĪ ëĤ´",
+      "Ġ ãģ§",
+      "à¹Ī ะ",
+      "Ùij Ùı",
+      "çµIJ æŀľ",
+      "âĢĻ i",
+      "à¹Į ,",
+      "åŃĺ äºİ",
+      "Ġरà¤ĸ न",
+      "ĠسرÙħ اÛĮÙĩ",
+      "Ġг лÑĥб",
+      "ĠглÑĥ б",
+      "ĠÑĢаз Ñĸ",
+      "ĠÑĢа зÑĸ",
+      "Ñĩ нÑĸ",
+      "ï¼Į åıĪ",
+      "c ısı",
+      "cı sı",
+      "æľī åħ³",
+      "ãĤ» ãĥ³",
+      "èIJ ¨",
+      "ĠGi áo",
+      "ĠGiá o",
+      "ĠاÙĦØ« اÙĨÙĬ",
+      "ĠÑĢаз ом",
+      "Ġ ÑĤÑĢо",
+      "ĠÑĤ ÑĢо",
+      "ĠÑĤÑĢ о",
+      "Ġaçık lam",
+      "åĨ³ å®ļ",
+      "à¸Ń à¸Ľ",
+      "åĶ ¯",
+      "ĠÅŁ ark",
+      "ĠÅŁar k",
+      "Ġsist emi",
+      "Ġsistem i",
+      "Ġto prak",
+      "Ġtop rak",
+      "èĢĥ ãģĪ",
+      "Ġпоп ÑĥлÑıÑĢ",
+      "Ġ ëĨį",
+      "ĠëĨ į",
+      "ا ÙĬÙĨ",
+      "اÙĬ ÙĨ",
+      "स म",
+      "Ġ ÂĢ",
+      "ĠÂ Ģ",
+      "Ġed erek",
+      "Ġeder ek",
+      "Ġg ec",
+      "Ġge c",
+      "ìĤ¬ ìĹħ",
+      "ĠÑĢ оки",
+      "ĠÑĢок и",
+      "ĠбеÑĢ ем",
+      "ĠخاÙĨÙĪ ادÙĩ",
+      "Ġ èµ·",
+      "Ġèµ ·",
+      "Ġ ЧÑĤо",
+      "ĠЧ ÑĤо",
+      "Ġo bÄĽ",
+      "Ġob ÄĽ",
+      "и нÑĸ",
+      "ин Ñĸ",
+      "ìĿ´ ìĹĪ",
+      "ĠIn di",
+      "ĠInd i",
+      "Ġд иÑĤ",
+      "Ġди ÑĤ",
+      "ãĥ¶ æľĪ",
+      "Ġнем ного",
+      "Ġzáklad ÄĽ",
+      "à¹Ĥ à¸Ħ",
+      "ĠÑģам ого",
+      "ĠÑģамо го",
+      "Ġب ØŃØ«",
+      "ĠبØŃ Ø«",
+      "Ġ æ¶",
+      "Ġæ ¶",
+      "ов ж",
+      "Ġоб ÑĢаÑī",
+      "ĠобÑĢа Ñī",
+      "Ã Ĵ",
+      "ว รร",
+      "วร ร",
+      "à¤Ĥ श",
+      "ĠоÑĩ еÑĢед",
+      "ĠÙģ رز",
+      "ĠÙģر ز",
+      "ëĮĢ íķľ",
+      "Ġs izin",
+      "Ġsi zin",
+      "Ġsiz in",
+      "Ġsizi n",
+      "ر Ùģت",
+      "رÙģ ت",
+      "Ñİ Ñīим",
+      "ÑİÑī им",
+      "æ» ij",
+      "a vir",
+      "av ir",
+      "avi r",
+      "ĠÙĪ صÙĦ",
+      "ĠÙĪص ÙĦ",
+      "Ġqu ay",
+      "Ġqua y",
+      "Ġг ип",
+      "ÑĢ ениÑı",
+      "ÑĢе ниÑı",
+      "ÑĢен иÑı",
+      "à¥į वत",
+      "à¥įव त",
+      "ιν Ïīν",
+      "à¤ľ ह",
+      "Ġh Æ¡i",
+      "Ġpo važ",
+      "Ġpov až",
+      "Ġع رب",
+      "м енÑĤа",
+      "мен ÑĤа",
+      "менÑĤ а",
+      "Ġо ÑģÑĤан",
+      "ĠоÑģÑĤ ан",
+      "ä¹ĭ éĹ´",
+      "a cÃŃch",
+      "ac ÃŃch",
+      "acÃŃ ch",
+      "ĠÑģказ ала",
+      "ĠÑģказал а",
+      "ìĿ´ ëĿ¼ëĬĶ",
+      "ìĿ´ëĿ¼ ëĬĶ",
+      "ĠØ´ اخ",
+      "Ġëĭ¹ ìĭł",
+      "ar lar",
+      "arl ar",
+      "Ġмл н",
+      "åĨ ¬",
+      ". :.:.:",
+      ".: .:.:",
+      ".:.: .:",
+      ".:. :.:",
+      ".:.:. :",
+      "Ġ θε",
+      "Ġθ ε",
+      "Ġher kes",
+      "Ġherk es",
+      "л Ñıд",
+      "лÑı д",
+      "ا Ùħا",
+      "اÙħ ا",
+      "Ġë ŃIJ",
+      "Ïĥιμο ÏĢοι",
+      "Ġ obraz",
+      "Ġob raz",
+      "Ġobr az",
+      "Ġobra z",
+      "غ اÙĦ",
+      "B Æ°á»Ľc",
+      "å° Ĭ",
+      "ìŀIJ 를",
+      "æĢ Ĵ",
+      "οÏħ Ïģγ",
+      "å¼ķ ãģį",
+      "Ġkon uda",
+      "Ġkonu da",
+      "ĠاÙĦت ج",
+      "Ġ krit",
+      "Ġk rit",
+      "Ġkr it",
+      "å¿ į",
+      "ĠìłĦìĦ¸ ê°Ģ",
+      "г овоÑĢ",
+      "го воÑĢ",
+      "гов оÑĢ",
+      "Ġist iyor",
+      "о ки",
+      "ок и",
+      "ĠобеÑģп еÑĩ",
+      "ĠобеÑģпе Ñĩ",
+      "Ġay rıca",
+      "Ġayrı ca",
+      "à¹Ģ à¸ľ",
+      "à¹Ģภľ",
+      "а ÑĢод",
+      "аÑĢ од",
+      "Ä° Åŀ",
+      "ĠجÙħ ÙĩÙĪرÛĮ",
+      "ĠجÙħÙĩÙĪر ÛĮ",
+      "ĠÑģво иÑħ",
+      "ĠÑģвои Ñħ",
+      "Ġprov ád",
+      "Ġ ÑĢам",
+      "ĠÑĢ ам",
+      "ĠÑĢаР¼",
+      "ĠÑĢа м",
+      "ĠÙĤ ض",
+      "л иÑĤелÑĮ",
+      "лиÑĤ елÑĮ",
+      "ãĤ± ãĥĥãĥĪ",
+      "оÑģ оÑĦ",
+      "Ġर हन",
+      "Ġरह न",
+      "k ový",
+      "ko vý",
+      "kov ý",
+      "ì° ¸",
+      "γ κα",
+      "γκ α",
+      "λ οι",
+      "λο ι",
+      "μ ÏĢο",
+      "μÏĢ ο",
+      "ĠÄij au",
+      "ĠÄija u",
+      "н иÑİ",
+      "ни Ñİ",
+      "Ġman žel",
+      "Ġ íĺ¼",
+      "Ġíĺ ¼",
+      "ĠÑĤ иÑģ",
+      "ĠÑĤи Ñģ",
+      "ãĥĨ ãĥ«",
+      "ab ilecek",
+      "abil ecek",
+      "abile cek",
+      "abilece k",
+      "н ин",
+      "ни н",
+      "à¸ģรรม à¸ģาร",
+      "éł IJ",
+      "Ġph ê",
+      "j edn",
+      "je dn",
+      "jed n",
+      "交 æµģ",
+      "Ġвним ание",
+      "об ÑĢеÑĤ",
+      "Ġжиз нÑĮ",
+      "ÑĢи ÑģÑĤи",
+      "ÑĢиÑģÑĤ и",
+      "ÑĢиÑģ ÑĤи",
+      "à¥Ī à¤ļ",
+      "Ġyüz den",
+      "Ġyüzde n",
+      "Ġg iy",
+      "Ġgi y",
+      "éļ Ķ",
+      "ä» ²",
+      "Ġ èĻ",
+      "Ġè Ļ",
+      "ĠP arti",
+      "ĠPart i",
+      "ĠPar ti",
+      "Ġ éĸ¢",
+      "Ġéĸ ¢",
+      "ัà¸ļ ส",
+      "Ġnej lepÅ¡ÃŃ",
+      "Ùİ Ùī",
+      "ĠìĿ´ ìłľ",
+      "Ġc ắt",
+      "ÑĢоз Ñĥм",
+      "Ġnej sou",
+      "l ÃŃd",
+      "lÃŃ d",
+      "θ ο",
+      "à¹ĩ à¸ĩ",
+      "ĠÑģп ÑĢоÑģ",
+      "ma mÄ±ÅŁ",
+      "mam Ä±ÅŁ",
+      "Ġ 쪽",
+      "Ġì ª½",
+      "ا ÙģÙĤ",
+      "اÙģ ÙĤ",
+      "ÑĨÑĸй ниÑħ",
+      "Ġ é¦Ļ",
+      "Ġé¦ Ļ",
+      "ĠÙħÛĮÙĦÛĮ ÙĪÙĨ",
+      "å¤ ¢",
+      "ĠÙģ Ùĩرست",
+      "r ý",
+      "Ġпо вÑĸдом",
+      "Ġпов Ñĸдом",
+      "ec eÄŁi",
+      "ece ÄŁi",
+      "ĠзабезпеÑĩ еннÑı",
+      "Â Ķ",
+      "ãģĹ ãģªãģĦ",
+      "åŁº ç¡Ģ",
+      "ĠÚĨ ÙĨÛĮÙĨ",
+      "ĠÑĢоз ÑĢоб",
+      "ä¸Ģ äºĽ",
+      "ãĥ³ ãģ®",
+      "ĠпÑĢа ÑĨÑĸв",
+      "ĠпÑĢаÑĨÑĸ в",
+      "å¾Ĺ åĪ°",
+      "Ġt ấn",
+      "åŃĺæ¡£ å¤ĩ份",
+      "Ġ íĻĪ",
+      "ĠíĻ Ī",
+      "Ġ à¸Ķาว",
+      "Ġà¸Ķ าว",
+      "ìĭ ±",
+      "л ина",
+      "ли на",
+      "лин а",
+      "ĠвоÑģп ал",
+      "ÄŁ inden",
+      "ÄŁin den",
+      "ÄŁinde n",
+      "аÑĤ елей",
+      "аÑĤе лей",
+      "r ž",
+      "ĠÑĦ Ñĥн",
+      "ĠÐIJ л",
+      "ĠпоÑĩ ÑĤи",
+      "о вÑĸд",
+      "ов Ñĸд",
+      "овÑĸ д",
+      "ا عب",
+      "اع ب",
+      "าะ ห",
+      "Ġвоз ÑĢаÑģÑĤ",
+      "ิà¸ĩ ห",
+      "ĠÙģ ÙĦس",
+      "ĠÙģÙĦ س",
+      "ĠÅ¡ est",
+      "à¸Ĭ าว",
+      "Ġ 골",
+      "Ġê³ ¨",
+      "Ġ oÄį",
+      "Ġo Äį",
+      "ãĤ¸ ãĥ§",
+      "к оÑģÑĤи",
+      "ко ÑģÑĤи",
+      "éĽĨ åĽ¢",
+      "æ± ĩ",
+      "ĠpÅĻÃŃ liÅ¡",
+      "Ġ ìĿij",
+      "ĠìĿ ij",
+      "ди ви",
+      "див и",
+      "ĠдокÑĥм енÑĤа",
+      "ĠдокÑĥменÑĤ а",
+      "ĠCh âu",
+      "Ġm áu",
+      "Ġmá u",
+      "Ġkh ô",
+      "Ã ķ",
+      "Ñī ий",
+      "Ñīи й",
+      "Ġs ẵn",
+      "Ġкон ÑĦ",
+      "Ġз ÑĥÑģÑĤ",
+      "åĽŀ çŃĶ",
+      "Ġ коÑĢиÑģÑĤ",
+      "ĠкоÑĢ иÑģÑĤ",
+      "Ġко ÑĢиÑģÑĤ",
+      "ĠÏĢεÏģ ί",
+      "ĠÏĢε Ïģί",
+      "ä¸ °",
+      "Ġm ạch",
+      "ан к",
+      "ä¸ĭ æĿ¥",
+      "èµĦ æĸĻ",
+      "ย à¸Ńà¸Ķ",
+      "ĠÏĢ ιο",
+      "à¹ī à¸ĩาà¸Ļ",
+      "à¹īà¸ĩ าà¸Ļ",
+      "Ġum ÃŃst",
+      "æ½ ®",
+      "çªģ çĦ¶",
+      "Ġk ultur",
+      "Ġkul tur",
+      "ĠاÙĦ صÙģ",
+      "ĠاÙĦص Ùģ",
+      "a larının",
+      "alar ının",
+      "aların ın",
+      "alarını n",
+      "ĠÎĶη μο",
+      "Ġвикон аннÑı",
+      "Ġвико наннÑı",
+      "ï½ ¿",
+      "Ġбез опаÑģ",
+      "ĠÑģ аÑħ",
+      "Ġn oh",
+      "Ġno h",
+      "à¹ĥ à¸ļ",
+      "éĥ½ å¸Ĥ",
+      "ÅŁ am",
+      "ÅŁa m",
+      "б ÑĥÑĤ",
+      "бÑĥ ÑĤ",
+      "Ġ모 ìĬµ",
+      "Ġв аг",
+      "Ġва г",
+      "çIJĨ 解",
+      "Ġekonom ik",
+      "Ġkh ắc",
+      "Ġs vat",
+      "Ġsv at",
+      "лиÑĪ ком",
+      "ัà¸ĩ à¸Īาà¸ģ",
+      "iz yon",
+      "èĥ½ å¤Ł",
+      "ί νει",
+      "ίν ει",
+      "Â Ĭ",
+      "ì¦ Į",
+      "Ġ ÙĩاÛĮÛĮ",
+      "ĠÙĩ اÛĮÛĮ",
+      "ĠÙĩاÛĮ ÛĮ",
+      "ĠkiÅŁ iler",
+      "ĠkiÅŁi ler",
+      "Ġк леÑĤ",
+      "Ġкл еÑĤ",
+      "Ġкле ÑĤ",
+      "íĺ ģ",
+      "à¥ĥ द",
+      "i Å¡",
+      "ëĶĶ ìĺ¤",
+      "ÙĬ راÙĨ",
+      "ÙĬر اÙĨ",
+      "ÙĬرا ÙĨ",
+      "ĠÐĿ Ñĥ",
+      "à¸Ń à¸Ļà¸Ĺ",
+      "à¸Ńà¸Ļ à¸Ĺ",
+      "ĠÑģ оÑĩ",
+      "ĠÑģо Ñĩ",
+      "Ġist eyen",
+      "ĠS ez",
+      "ĠSe z",
+      "Ġ ãĤ»",
+      "ĠãĤ »",
+      "ĠA ç",
+      "âĢĮ ÙĨ",
+      "ĠÑĤ оп",
+      "ĠÑĤо п",
+      "ĠÑĤеÑĢÑĢиÑĤ оÑĢ",
+      "a cılık",
+      "acı lık",
+      "Ġод нÑĥ",
+      "Ġv eri",
+      "Ġver i",
+      "Ġve ri",
+      "ĠÚ© د",
+      "ĠÚ¯ ÙģتÙĩ",
+      "ĠÚ¯Ùģت Ùĩ",
+      "Ġcin sel",
+      "Ġcins el",
+      "олог ии",
+      "ĠpÅĻed mÄĽt",
+      "à¤Ĥ à¤ĺ",
+      "Ġ 空",
+      "Ġç© º",
+      "γ α",
+      "' ye",
+      "'y e",
+      "ت رة",
+      "تر ة",
+      "Ġd ÅĻÃŃ",
+      "ĠH Ãłn",
+      "ĠHÃł n",
+      "Ġر شتÙĩ",
+      "Ġv idea",
+      "Ġvi dea",
+      "Ġvid ea",
+      "Ġvide a",
+      "Ġ ног",
+      "Ġн ог",
+      "Ġно г",
+      "æ ·»",
+      "æ· »",
+      "è¿ĺ æľī",
+      "ÙĨ در",
+      "ÙĨد ر",
+      "Ġy erde",
+      "Ġyer de",
+      "Ġk ent",
+      "Ġke nt",
+      "Ġken t",
+      "à¸ļ าล",
+      "Ġд еÑģÑı",
+      "Ġде ÑģÑı",
+      "ä¸ļ åĬ¡",
+      "Ġоб ÑĬек",
+      "ĠобÑĬ ек",
+      "ĠвнÑĥÑĤÑĢ ÑĸÑĪ",
+      "ĠвнÑĥÑĤ ÑĢÑĸÑĪ",
+      "k ola",
+      "ko la",
+      "kol a",
+      "eb nÃŃ",
+      "ี ล",
+      "Ġ ,.",
+      "Ġ, .",
+      "ĠмÑĸж наÑĢод",
+      "ãģªãĤĵ ãģ¦",
+      "ĠS öz",
+      "Ġ chod",
+      "Ġc hod",
+      "Ġch od",
+      "Ġcho d",
+      "Ġtr úc",
+      "Ġtrú c",
+      "ìļĶ ìĿ¼",
+      "Ġph áºŃn",
+      "Ñģ ка",
+      "Ñģк а",
+      "ĠÑħ лоп",
+      "Ñģ ким",
+      "Ñģк им",
+      "Ñģки м",
+      "Ġka pit",
+      "Ġkap it",
+      "ëĵ¤ ìĹIJê²Į",
+      "Ġb Ãło",
+      "ĠbÃł o",
+      "lı ģın",
+      "lıģı n",
+      "lıģ ın",
+      "Ä° ÅŁ",
+      "Äį nÃŃk",
+      "ÄįnÃŃ k",
+      "Ġ NgoÃłi",
+      "ĠNg oÃłi",
+      "Ġب ÛĮاÙĨ",
+      "ĠبÛĮ اÙĨ",
+      "Ġpro Äį",
+      "Ġpr oÄį",
+      "ĠпÑĢоÑĤ Ñıгом",
+      "åĢ ī",
+      "е Ñİ",
+      "Ġ νο",
+      "Ġν ο",
+      "ëĿ¼ ëıĦ",
+      "ì ·¨",
+      "Ġви Ñıв",
+      "Ġпо над",
+      "Ġпон ад",
+      "Ġжов ÑĤ",
+      "Ġ æ¯Ķ",
+      "Ġæ¯ Ķ",
+      "Ġd oby",
+      "Ġdo by",
+      "Ġdob y",
+      "л ам",
+      "ла м",
+      "Ñij л",
+      "Ġ ÑĢаÑħ",
+      "ĠÑĢ аÑħ",
+      "ĠÑĢа Ñħ",
+      "Ġвоз ника",
+      "Ġвозник а",
+      "ниÑĨÑĤ во",
+      "å± ¤",
+      "ĠоÑĤ лиÑĩ",
+      "ĠоÑĤли Ñĩ",
+      "çĤ İ",
+      "é£ ¯",
+      "Ġživ ota",
+      "Ġživot a",
+      "at ör",
+      "Ġce lý",
+      "Ġcel ý",
+      "Ġ aday",
+      "Ġa day",
+      "Ġad ay",
+      "Ġada y",
+      "ر ÙĬÙĥÙĬ",
+      "رÙĬ ÙĥÙĬ",
+      "رÙĬÙĥ ÙĬ",
+      "Ġب ص",
+      "m eyen",
+      "me yen",
+      "meye n",
+      "mey en",
+      "ìļ° ìĬ¤",
+      "ب ÙĪÙĦ",
+      "بÙĪ ÙĦ",
+      "Ġ озна",
+      "Ġо зна",
+      "Ġоз на",
+      "é º¼",
+      "éº ¼",
+      "æĵ ļ",
+      "Ġz kou",
+      "Ġzk ou",
+      "ëĤĺ ìļĶ",
+      "Ġk ry",
+      "Ġkr y",
+      "Ġnem oh",
+      "Ġvyu žÃŃ",
+      "Ġ æľ¨",
+      "Ġад мÑĸнÑĸÑģÑĤÑĢа",
+      "ا Ùĩا",
+      "اÙĩ ا",
+      "à¹ĥ à¸ģล",
+      "＿＿＿＿ ＿＿＿＿",
+      "Ġ гоÑĤ",
+      "Ġг оÑĤ",
+      "ĠدÛĮ گرÛĮ",
+      "ĠدÛĮگر ÛĮ",
+      "Ġл екаÑĢ",
+      "è§ Ģ",
+      "Ġ íĺij",
+      "Ġíĺ ij",
+      "ĠB öyle",
+      "ist rov",
+      "istr ov",
+      "istro v",
+      "女 åŃIJ",
+      "Ġпоп еÑĢед",
+      "ĠÙĨÙĪÙĬس ÙĨدÙĩ",
+      "ÙĴ ÙĦ",
+      "ĠÐŁ ав",
+      "Ġö rnek",
+      "Ġör nek",
+      "Ġп ÑĢик",
+      "ĠпÑĢ ик",
+      "ĠпÑĢи к",
+      "Ġ ÑĪи",
+      "ĠÑĪ и",
+      "üslü man",
+      "ĠÙħÙĤ ابÙĦ",
+      "åįģ äºĮ",
+      "Ġb ekl",
+      "Ġbe kl",
+      "Ġbek l",
+      "Ġver ir",
+      "Ġve rir",
+      "Ġveri r",
+      "ÙĪ Ø°",
+      "ض ة",
+      "ÑĢо ÑĤив",
+      "ÑĢоÑĤ ив",
+      "æĮ ij",
+      ". .:",
+      ".. :",
+      "Ġخارج ÙĬØ©",
+      "a dık",
+      "ad ık",
+      "adı k",
+      "ĠÐŁ оÑĩ",
+      "ĠÐŁÐ¾ Ñĩ",
+      "ĠÑħÑĥд ож",
+      "客 æĪ·",
+      "μ ον",
+      "μο ν",
+      "ek tiv",
+      "ekt iv",
+      "Ġt vá",
+      "Ġtv á",
+      "Û² Û²",
+      "Ġl á»įc",
+      "Ġо но",
+      "Ġон о",
+      "ÑĨ иÑĤ",
+      "ÑĨи ÑĤ",
+      "ĠÐĴ Ñģ",
+      "Ġ å¢",
+      "Ġå ¢",
+      "æµ ª",
+      "а ÑĢÑĸ",
+      "аÑĢ Ñĸ",
+      "Ġsür ekli",
+      "Ġ stra",
+      "Ġs tra",
+      "Ġst ra",
+      "Ġstr a",
+      "Ġb ize",
+      "Ġbi ze",
+      "Ġbiz e",
+      "Ġtes pit",
+      "Ġch âu",
+      "ĠاÙĦ ض",
+      "à¹īà¸Ń à¸ĩà¸ģ",
+      "à¹īà¸Ńà¸ĩ à¸ģ",
+      "Ġ èĢħ",
+      "ĠèĢ ħ",
+      "ĠH á»",
+      "Ġкажд Ñĭй",
+      "а Ñİ",
+      "à¸Ļ à¸Ħร",
+      "à¸Ļà¸Ħ ร",
+      "à¸Ĺ ะ",
+      "ĠÙħر اجع",
+      "ĠÙħراج ع",
+      "Ġha line",
+      "Ġhal ine",
+      "δ οÏĤ",
+      "δο ÏĤ",
+      "e ÄŁi",
+      "ĠÙħÛĮ زاÙĨ",
+      "Ġ ÙĩÙĦ",
+      "ĠÙĩ ÙĦ",
+      "Ġb olest",
+      "Ġbo lest",
+      "Ġbol est",
+      "Ġ åľŁ",
+      "Ġåľ Ł",
+      "Ġu zman",
+      "Ġuz man",
+      "ÑĢ ог",
+      "ÑĢо г",
+      "確 èªį",
+      "ĠÑĢÑĸз ниÑħ",
+      "Ġза кÑĢÑĭ",
+      "Ġзак ÑĢÑĭ",
+      "лÑĥ ги",
+      "лÑĥг и",
+      "ĠÑģо веÑĤ",
+      "ĠÑģов еÑĤ",
+      "id di",
+      "idd i",
+      "åIJĪ ãĤıãģĽ",
+      "Ġ åIJī",
+      "ĠåIJ ī",
+      "Ġk iá»ĩm",
+      "ë² ½",
+      "ĠÙħع ÙħÙĪÙĦ",
+      "ĠопÑĢед елÑı",
+      "ĠопÑĢедел Ñı",
+      "Ġmik tar",
+      "Ġ ìŀIJëıĻ",
+      "ĠìŀIJ ëıĻ",
+      "Ġil aç",
+      "л оÑĩ",
+      "ло Ñĩ",
+      "Ġy ılı",
+      "Ġyıl ı",
+      "Ġyı lı",
+      "Ġ ÄIJá»ĥ",
+      "ĠÄIJ á»ĥ",
+      "ĠÄIJá» ĥ",
+      "Ġab ych",
+      "Ġaby ch",
+      "Ġrek lam",
+      "Ġrekl am",
+      "Ġv ypad",
+      "Ġvy pad",
+      "Ġvyp ad",
+      "Ġна ÑĥÑĩ",
+      "à¹Ģà¸Ħร าะห",
+      "Ġ ä»ĸ",
+      "p ovÄĽ",
+      "po vÄĽ",
+      "ï¼Į 让",
+      "ç¥ Ŀ",
+      "ا ÙĪÙĨد",
+      "اÙĪ ÙĨد",
+      "اÙĪÙĨ د",
+      "Ġ: |:",
+      "Ġ:| :",
+      "Ġre ž",
+      "Ġvyb av",
+      "ìľ ¤",
+      "æŃ ´",
+      "огÑĢаÑĦ иÑı",
+      "ez peÄį",
+      "ezpe Äį",
+      "± n",
+      "о вÑĥ",
+      "ов Ñĥ",
+      "Ġд Ñĥма",
+      "ĠдÑĥ ма",
+      "ĠдÑĥм а",
+      "Ġjedn odu",
+      "Ġjedno du",
+      "о Ñīи",
+      "оÑī и",
+      "ĠÙħ شتر",
+      "ĠÙħØ´ تر",
+      "è¦ ³",
+      "Ġyok tur",
+      "Ġyoktu r",
+      "Ġob Äįan",
+      "ĠTr ần",
+      "ım sız",
+      "α ιν",
+      "αι ν",
+      "Â Į",
+      "ر ÛĮاÙĨ",
+      "رÛĮ اÙĨ",
+      "ĠJe ho",
+      "ĠJeh o",
+      "ĠاÙĦ Ø¢ÙĨ",
+      "ĠاÙĦØ¢ ÙĨ",
+      "ÑģÑĮ ким",
+      "ÑģÑĮк им",
+      "Ġk dyby",
+      "Ġkdy by",
+      "ĠbaÅŁ ına",
+      "Ġprez ident",
+      "Ġ Viá»ĩc",
+      "ĠV iá»ĩc",
+      "åħ ¼",
+      "à¥Į à¤ľ",
+      "Ġ매매 ê°Ģ",
+      "模 å¼ı",
+      "nÃŃ mu",
+      "nÃŃm u",
+      "Ġ åĤ",
+      "Ġå Ĥ",
+      "Ġ deniz",
+      "Ġd eniz",
+      "Ġden iz",
+      "ĺ èĽĽ",
+      "Ġ èĢĮ",
+      "ĠèĢ Į",
+      "ÙĪ ØŃ",
+      "Ñĭ п",
+      "Ġâĸ ¼",
+      "n ul",
+      "nu l",
+      "ĠS ev",
+      "ĠSe v",
+      "Ġ ruh",
+      "Ġr uh",
+      "Ġru h",
+      "Ġh ạ",
+      "Ġ Ñıн",
+      "ĠÑı н",
+      "Ġ기 본",
+      "Ġv elik",
+      "Ġve lik",
+      "Ġvel ik",
+      "ĠT ân",
+      "и лиÑģÑĮ",
+      "ил иÑģÑĮ",
+      "или ÑģÑĮ",
+      "ĠÑħ ÑĢа",
+      "åĤ ·",
+      "Ġà¤Ĩ à¤ı",
+      "Ġn ynÃŃ",
+      "Ġny nÃŃ",
+      "» ØĮ",
+      "ĠØ´ ع",
+      "æĿ Ĥ",
+      "Ġм ÑĭÑĪ",
+      "ĠмÑĭ ÑĪ",
+      "ãģĻ ãģIJ",
+      "Ġ ê³µì§Ģ",
+      "Ġê³µ ì§Ģ",
+      "Ġt á»Ļc",
+      "ãĥ¼ ãĥĩ",
+      "ãĥ¼ãĥ ĩ",
+      "ĠÑģ ело",
+      "ĠÑģел о",
+      "Ġا عÙĦاÙħ",
+      "Ġاع ÙĦاÙħ",
+      "ĠÅŁ imdi",
+      "ĠÅŁi mdi",
+      "ĠاÙĦÙħ ÙĬÙĦاد",
+      "ĠاÙĨÙĤÙĦ اب",
+      "Ġشخص ÙĬØ©",
+      "ĠK ür",
+      "ĠKü r",
+      "Ġ вÑĸÑĤ",
+      "Ġв ÑĸÑĤ",
+      "ĠвÑĸ ÑĤ",
+      "ĠاÙĨد ازÙĩ",
+      "Ġм оÑī",
+      "Ġмо Ñī",
+      "t ernet",
+      "ter net",
+      "tern et",
+      "ĠαÏħ ÏĦή",
+      "ĠÑĢоз ÑĤа",
+      "Ġв ив",
+      "Ġви в",
+      "l ej",
+      "le j",
+      "Ġ 表",
+      "Ġè¡ ¨",
+      "ÏĥÏĥ ÏĮÏĦε",
+      "ĠÙĬ ست",
+      "ĠÙĬس ت",
+      "Ġм аÑĪ",
+      "Ġма ÑĪ",
+      "åĿ ļ",
+      "Ġком наÑĤ",
+      "า หล",
+      "าห ล",
+      "Ġ çĻ¼",
+      "ĠçĻ ¼",
+      "ĠاÙĪÙĦ ÛĮÙĨ",
+      "è¿IJ åĬ¨",
+      "Ġп ÑĥнкÑĤ",
+      "ĠпÑĥнк ÑĤ",
+      "ĠоÑģоб енно",
+      "Ġм ам",
+      "Ġма м",
+      "ç» ©",
+      "￣￣￣￣ ￣￣￣￣",
+      "алÑĮ нÑĭм",
+      "ĠЦ енÑĤ",
+      "ĠЦе нÑĤ",
+      "- Ðľ",
+      "ç· Ĵ",
+      "Ġह à¤ľ",
+      "о ÑĤÑĭ",
+      "оÑĤ Ñĭ",
+      "ãĤ¤ ãĥī",
+      "د ارة",
+      "دار ة",
+      "دا رة",
+      "ãģ¨ ãģĹãģŁ",
+      "ั à¸ŀย",
+      "ัà¸ŀ ย",
+      "Ġot áz",
+      "Ġдопом огоÑİ",
+      "à¹ģละ à¸ģาร",
+      "ĠÑĤÑĢанÑģп оÑĢÑĤ",
+      "ĠÑĤÑĢанÑģпоÑĢ ÑĤ",
+      "ĠÙĤر Ø¢ÙĨ",
+      "Ġ 第ä¸Ģ",
+      "Ġ第 ä¸Ģ",
+      "Ġм ил",
+      "Ġми л",
+      "Ġng ôi",
+      "Ġl inh",
+      "Ġli nh",
+      "Ġlin h",
+      "ĠNh ân",
+      "ÑĮогод нÑĸ",
+      "æĢ Ģ",
+      "à¹ī าส",
+      "à¹īา ส",
+      ".:: .::",
+      "Ġbi rey",
+      "Ġbir ey",
+      "æĢĿ ãģĦ",
+      "à¹ĥ à¸Ķ",
+      "веÑĢ д",
+      "ве ÑĢд",
+      "Ġlistop adu",
+      "Ġ à¹ģม",
+      "Ġà¹ģ ม",
+      "г е",
+      "Ġк ÑĥÑħ",
+      "ĠкÑĥ Ñħ",
+      "Ġ íĻľëıĻ",
+      "ĠíĻľ ëıĻ",
+      "Ġ èİ",
+      "Ġè İ",
+      "ĠÐIJ лÑĮ",
+      "ĠÐIJл ÑĮ",
+      "íļĮ ìĿĺ",
+      "ĠÏĢ Ïģα",
+      "Ġv ui",
+      "Ġvu i",
+      "ว ร",
+      "à¤Ĥ व",
+      "Ġg ece",
+      "Ġge ce",
+      "Ġgec e",
+      "ç« ¶",
+      "Ġk uv",
+      "Ġku v",
+      "м еÑī",
+      "ме Ñī",
+      "ĠÑĤеп еÑĢÑĮ",
+      "ĠÑĤепеÑĢ ÑĮ",
+      "à¸Ń à¹Ģม",
+      "åĪ¶ 度",
+      "ĠÑĤ ÑĢеÑĤ",
+      "ĠÑĤÑĢ еÑĤ",
+      "ĠÙĨ تÛĮجÙĩ",
+      "ä»ĺ ãģį",
+      "Ġ ï¾ŀ",
+      "Ġï¾ ŀ",
+      "Ġ Ñĩого",
+      "ĠÑĩ ого",
+      "âĢIJ -",
+      "ĠÅĻÃŃ ká",
+      "à¸ĩ à¹ĥà¸Ļ",
+      "ĠnÄĽkol ika",
+      "ĠnÄĽkolik a",
+      "Ġb una",
+      "Ġbu na",
+      "Ġbun a",
+      "ï¼Į åŃĺäºİ",
+      "ล ำ",
+      "ãĢģ ãģ¨",
+      "Ġn á»Ļp",
+      "ĠاÙĦ جÙĨ",
+      "ĠاÙĦج ÙĨ",
+      "ĠÎł αν",
+      "Ġγα ν",
+      "Ðŀ Ðł",
+      "Ġدخ تر",
+      "Ġúda je",
+      "Ġúdaj e",
+      "Ġ å¼ł",
+      "Ġå¼ ł",
+      "r etim",
+      "re tim",
+      "ret im",
+      "s ınız",
+      "sın ız",
+      "ĠÙĩÙĨ اÙĥ",
+      "ĠÙĩÙĨا Ùĥ",
+      "ÐĽ Ь",
+      "æķ ¬",
+      "Îij Îľ",
+      "页éĿ¢ åŃĺæ¡£å¤ĩ份",
+      "ìĤ¬ ê°Ģ",
+      "Ġt rest",
+      "Ġtr est",
+      "Ġtre st",
+      "Ġtres t",
+      "v iÄį",
+      "vi Äį",
+      "ĠÙ¾ ÛĮدا",
+      "ĠÙ¾ÛĮ دا",
+      "ζ ε",
+      "ĠÐŁ ов",
+      "ĠÐŁÐ¾ в",
+      "ÙĦÙħ ات",
+      "o rex",
+      "or ex",
+      "ore x",
+      "è¬ Ľ",
+      "ĠвÑĸдк ÑĢиÑĤ",
+      "м аÑħ",
+      "ма Ñħ",
+      "ĠÑĩиÑģ ле",
+      "ت بار",
+      "تب ار",
+      "ĠÎŃ Îº",
+      "ìķĦ íĮĮíĬ¸",
+      "r avel",
+      "ra vel",
+      "rav el",
+      "α Ïĥία",
+      "αÏĥ ία",
+      "a Äį",
+      "Ġ à¤ıन",
+      "Ġà¤ı न",
+      "ละ à¹Ģà¸Ń",
+      "Ġз алеж",
+      "Ġза леж",
+      "Ġзал еж",
+      "Ġ æģ",
+      "Ġæ ģ",
+      "Ġмож еÑĤе",
+      "ĠможеÑĤ е",
+      "Ġможе ÑĤе",
+      "Ġпо вед",
+      "Ġпов ед",
+      "ĠبسÛĮ ارÛĮ",
+      "ĠبسÛĮار ÛĮ",
+      "Ġ poÄįet",
+      "Ġpo Äįet",
+      "ĠpoÄį et",
+      "ر بع",
+      "رب ع",
+      "e lez",
+      "el ez",
+      "ele z",
+      "ا ÙĪرÛĮ",
+      "اÙĪ رÛĮ",
+      "اÙĪر ÛĮ",
+      "Ġba ÅŁk",
+      "ĠbaÅŁ k",
+      "å° Ĥ",
+      "Ġhal de",
+      "æĭ Ł",
+      "S au",
+      "Sa u",
+      "о ÑĨи",
+      "ี à¸Ħ",
+      "Ġв лади",
+      "Ġвла ди",
+      "Ġвлад и",
+      "ÙIJ Ùħ",
+      "k ud",
+      "ku d",
+      "à¥Ĥ ब",
+      "å§Ķ åĵ¡",
+      "า รà¸ĵ",
+      "าร à¸ĵ",
+      "o rů",
+      "or ů",
+      "Ġ ÙħÙĪÙĦ",
+      "ĠÙħ ÙĪÙĦ",
+      "ĠÙħÙĪ ÙĦ",
+      "Ġ byt",
+      "Ġb yt",
+      "Ġby t",
+      "ĠpÅĻÃŃslu Å¡",
+      "èĭ± è¯Ń",
+      "éĢ IJ",
+      "Ġvel ké",
+      "Ġvelk é",
+      "Ġà¤Ĩ श",
+      "Ġph iếu",
+      "Ġphi ếu",
+      "à¹ĥ ส",
+      "Ġاس Ù¾",
+      "Ġzbo žÃŃ",
+      "ãģĵ ãĤĵãģª",
+      "ãģĵãĤĵ ãģª",
+      "ĠÙĪÙĩ ÙĬ",
+      "ĠÑĥÑĩа ÑģÑĤÑĮ",
+      "ĠÑĥÑĩаÑģÑĤ ÑĮ",
+      "ĠÑĥÑĩаÑģ ÑĤÑĮ",
+      "à¸Īำ à¸Ļวà¸Ļ",
+      "Ġتر Ú©",
+      "åįģ åĪĨ",
+      "ÎŁ Îł",
+      "ÎŁÎ ł",
+      "κ ολ",
+      "κο λ",
+      "Ġf akat",
+      "Ġfa kat",
+      "Ġfak at",
+      "Ġch á»Ĺ",
+      "éĢļ çŁ¥",
+      "Ġв одÑĥ",
+      "Ġво дÑĥ",
+      "Ġвод Ñĥ",
+      "ĠÎļα ÏĦηγοÏģία",
+      "aca ģını",
+      "acaģ ını",
+      "л ого",
+      "ло го",
+      "ĠmÃ¼ÅŁ ter",
+      "Ġj ednou",
+      "Ġjed nou",
+      "Ġjedn ou",
+      "Ġjedno u",
+      "Ġб аÑĢ",
+      "Ġба ÑĢ",
+      "i dae",
+      "id ae",
+      "ida e",
+      "d ım",
+      "dı m",
+      "è¾ ²",
+      "åIJ ¹",
+      "ëIJ ©ëĭĪëĭ¤",
+      "ĠÅŁekl inde",
+      "e ným",
+      "en ým",
+      "ený m",
+      "ëĵ ¯",
+      "i tÄĽ",
+      "it ÄĽ",
+      "Ġк олÑĮ",
+      "Ġкол ÑĮ",
+      "Ġко лÑĮ",
+      "ëĮĢ íķĻ",
+      "ĠÃĸ r",
+      "Ġ ê½",
+      "Ġê ½",
+      "ĠUB ND",
+      "Ġh ik",
+      "Ġhi k",
+      "ãĤī ãģĹãģĦ",
+      "ãĤīãģĹ ãģĦ",
+      "åĩº åĵģ",
+      "C ó",
+      "Ġ Îŀ",
+      "ĠÎ ŀ",
+      "Ġ åħ¥",
+      "Ġåħ ¥",
+      "ĠNg uyên",
+      "ĠÙ¾ ÙĪØ´",
+      "лÑı ÑĶ",
+      "ĠØ¢ غاز",
+      "Ġnhiá»ħ m",
+      "d ivid",
+      "div id",
+      "di vid",
+      "ç ĺ",
+      "ا ÙģتÙĩ",
+      "اÙģ تÙĩ",
+      "اÙģت Ùĩ",
+      "а меÑĤ",
+      "ам еÑĤ",
+      "нÑĥ лÑģÑı",
+      "нÑĥл ÑģÑı",
+      "ä¼ģ æ¥Ń",
+      "ÑĢоб ÑĸÑĤ",
+      "dü ÄŁÃ¼",
+      "dÃ¼ÄŁ ü",
+      "Ġ کاÙĨ",
+      "ĠÚ© اÙĨ",
+      "à¸Ń à¸ĩà¸Ĺ",
+      "à¸Ńà¸ĩ à¸Ĺ",
+      "й н",
+      "Ġpoh yb",
+      "Ġpohy b",
+      "Ġb iá»ĩn",
+      "Ġbi á»ĩn",
+      "Ġ ï¼Ľ",
+      "Ġï¼ Ľ",
+      "Ùħ ÙĨد",
+      "ÙħÙĨ د",
+      "Ġà¤Ĩ à¤ķ",
+      "ĠÄįlov ÄĽk",
+      "ĠÄįlovÄĽ k",
+      "ãĤĴè¦ĭ ãĤĭ",
+      "ë· °",
+      "ĠÑĥв елиÑĩ",
+      "ĠÑĥвели Ñĩ",
+      "Ġ ê´",
+      "Ġê ´",
+      "Ġyan lÄ±ÅŁ",
+      "éº ¦",
+      "Ġå¤ĸ éĥ¨",
+      "ÏĦ οÏħÏģγ",
+      "ÏĦοÏħ Ïģγ",
+      "Ġп ÑĢоÑĩ",
+      "ĠпÑĢ оÑĩ",
+      "ĠпÑĢо Ñĩ",
+      "ĠÑĢÑĥ ковод",
+      "çĽ ¤",
+      "èľ ĺèĽĽ",
+      "å®ī è£ħ",
+      "ĠУ кÑĢа",
+      "Ġtart Ä±ÅŁ",
+      "ÑĤ аж",
+      "ÑĤа ж",
+      "ĠoluÅŁ an",
+      "ĠRus ya",
+      "Ġк лÑĥб",
+      "Ġкл Ñĥб",
+      "ĠклÑĥ б",
+      "ĠÎł Ρ",
+      "alı dır",
+      "k ın",
+      "kı n",
+      "ĠзмÑĸ ни",
+      "ĠзмÑĸн и",
+      "leÅŁ ik",
+      "еÑĢ п",
+      "об Ñīе",
+      "обÑī е",
+      "Ġqu áºŃn",
+      "Ġप श",
+      "ãĤĴ åıĹ",
+      "à¹Ģล à¸Ĥ",
+      "ا ضر",
+      "اض ر",
+      "Ġuž ivatel",
+      "λ ία",
+      "λί α",
+      "ĠÐĴ они",
+      "ĠÐĴо ни",
+      "ุà¸Ķ à¸Ĺ",
+      "ĠV Ãł",
+      "ãĥ³ ãĤ¿",
+      ") ëĬĶ",
+      "æ¸ Ľ",
+      "Ġ μÏĢ",
+      "Ġμ ÏĢ",
+      "å· §",
+      "ĠÑĪ кол",
+      "ĠÑĪк ол",
+      "Ġì²ĺ ìĿĮ",
+      "ัà¸ģ à¸Ķ",
+      "æ® Ĭ",
+      "Ġnh á»Ŀ",
+      "ĠοÏĢο ία",
+      "à¹ģ à¸Ļว",
+      "à¹ģà¸Ļ ว",
+      "меÑĢик ан",
+      "nÃŃ ka",
+      "nÃŃk a",
+      "Ġíĺ¸ íħĶ",
+      "سب ب",
+      "à¸ĩ ม",
+      "ìŀĪ ëĬĶ",
+      "غ ط",
+      "Ùı ÙĦ",
+      "¹ æŀľ",
+      "Ñĩ Ñĸв",
+      "ÑĩÑĸ в",
+      "ÑĪ аÑı",
+      "ÑĪа Ñı",
+      "ĠØ¥ ÙĦا",
+      "ĠØ¥ÙĦ ا",
+      "خص ÙĪص",
+      "ll ll",
+      "ĠÑį ÑĤим",
+      "ĠÑįÑĤ им",
+      "ĠÑįÑĤи м",
+      "Ġz vÃŃ",
+      "Ġzv ÃŃ",
+      "Ġqu án",
+      "Ġquá n",
+      "à¸Ļ à¸ģ",
+      "Ġп олов",
+      "Ġпо лов",
+      "Ġпол ов",
+      "Ġ æ·±",
+      "Ġæ· ±",
+      "Ġm iá»ģn",
+      "Ġmi á»ģn",
+      "人 éĸĵ",
+      "Ġз им",
+      "Ġmey dana",
+      "е ÑĦ",
+      "Ġb á»ģn",
+      "Ġbá»ģ n",
+      "ز ÙĬد",
+      "زÙĬ د",
+      "ĠÐł еÑģп",
+      "ĠÐłÐµ Ñģп",
+      "ÎĻ ΣΤ",
+      "ÎĻΣ Τ",
+      "Ġ æĶ¶",
+      "ĠæĶ ¶",
+      "r aya",
+      "ra ya",
+      "ray a",
+      "ĠتÙĪ اÙĨد",
+      "ĠتÙĪاÙĨ د",
+      "Ġ ister",
+      "Ġis ter",
+      "Ġi ster",
+      "Ġist er",
+      "Ġ ë°Ģ",
+      "Ġë° Ģ",
+      "ĠмеÑħ ани",
+      "Ġ à¸ķำ",
+      "Ġà¸ķ ำ",
+      "Ġд ека",
+      "Ġде ка",
+      "Ġдек а",
+      "à¤Ĥ à¤Ĺल",
+      "à¤Ĥà¤Ĺ ल",
+      "ãĥ¼ ãĤ«ãĥ¼",
+      "Ġnep ÅĻÃŃ",
+      "ĠnepÅĻ ÃŃ",
+      "ĠÑģ ÑĩиÑĤ",
+      "ĠÑģÑĩ иÑĤ",
+      "Ġο μά",
+      "Ġç ift",
+      "ب ÛĮÙĨÛĮ",
+      "بÛĮ ÙĨÛĮ",
+      "بÛĮÙĨ ÛĮ",
+      "m eleri",
+      "me leri",
+      "mel eri",
+      "meler i",
+      "Ġвоз дейÑģÑĤв",
+      "d ou",
+      "do u",
+      "ìĥģ ìĿĦ",
+      "ĠÐĴ олод",
+      "ĠÐĴо лод",
+      "ĠÐĴол од",
+      "ε β",
+      "ÐĿ Ðĺ",
+      "Ñı к",
+      "Ïį ÏĦε",
+      "з ано",
+      "за но",
+      "len ir",
+      "c elik",
+      "ce lik",
+      "cel ik",
+      "ĠÑģоÑģÑĤав лÑıеÑĤ",
+      "ι αÏĤ",
+      "ια ÏĤ",
+      "ĠÐĵ оÑĢ",
+      "ä¹ĭ ä¸Ģ",
+      "Ïĥμ ÏĮÏĤ",
+      "ÏĥμÏĮ ÏĤ",
+      "ãģ« éĸ¢",
+      "Ġв Ñĩ",
+      "Ġп оÑģк",
+      "Ġпо Ñģк",
+      "ĠпоÑģ к",
+      "è¼ ¯",
+      "à¥Ģ श",
+      "ĠØ¢ ثار",
+      "à¸Ħวาม ร",
+      "Ġ един",
+      "Ġе дин",
+      "Ġеди н",
+      "íħ IJ",
+      "å¹³ æĪIJ",
+      "ĠkiÅŁ inin",
+      "ĠkiÅŁi nin",
+      "ãĤ² ãĥ¼ãĥł",
+      "à¥įत व",
+      "Ġkapsam ında",
+      "Ġak tar",
+      "Ġakt ar",
+      "Ġtr ừ",
+      "Ġر شد",
+      "Ġна каз",
+      "Ġнак аз",
+      "ر ÙĬÙĦ",
+      "رÙĬ ÙĦ",
+      "à¸Ń à¸Ħ",
+      "Ġگذ شتÙĩ",
+      "Ġ æ°ij",
+      "Ġæ° ij",
+      "ĠÑĤеб Ñı",
+      "s por",
+      "sp or",
+      "spo r",
+      "Ñİ ÑīаÑı",
+      "ÑİÑī аÑı",
+      "окÑĢем а",
+      "в ад",
+      "ва д",
+      "ĠCh úng",
+      "ĠزÛĮ ادÛĮ",
+      "ĠزÛĮاد ÛĮ",
+      "е ного",
+      "ен ого",
+      "ено го",
+      "ĠÚ© سÛĮ",
+      "Ã ŀ",
+      "Ġad ına",
+      "Ġadı na",
+      "Ñĥ да",
+      "Ñĥд а",
+      "Ñĸ ÑĶ",
+      "аÑĤ ели",
+      "аÑĤе ли",
+      "Ġnáv Å¡tÄĽ",
+      "çĶ¨ äºİ",
+      "ĠپرÙĪ ÙĨدÙĩ",
+      "ĠÙĨ بÙĪد",
+      "ĠÙĨب ÙĪد",
+      "س ات",
+      "ìĹ ĺ",
+      "ãģ£ ãģ¦ãĤĤ",
+      "ãģ£ãģ¦ ãĤĤ",
+      "Ġ çī©",
+      "Ġçī ©",
+      "Ðĺ з",
+      "åĪ ·",
+      "Ġ íľ´",
+      "Ġí ľ´",
+      "ĠоÑģоб лив",
+      "ãģĹ ãģ¾ãģ£ãģŁ",
+      "ãģĹãģ¾ ãģ£ãģŁ",
+      "a ydı",
+      "ay dı",
+      "ayd ı",
+      "åĩº çļĦ",
+      "ĠìķĦëĭĪ ëĿ¼",
+      "ıs ını",
+      "à¸Ĺาà¸ĩ à¸ģาร",
+      "Ġzv uky",
+      "Ġ 管",
+      "Ġç® ¡",
+      "âĸĭ âĸĭ",
+      "ĠÑĤ елеÑĦ",
+      "ĠÑĤел еÑĦ",
+      "Ġн елÑĮзÑı",
+      "ãĥ« ãģ®",
+      "Ïĥ ÏĢ",
+      "Ġ ç³",
+      "Ġç ³",
+      "åł ¡",
+      "ÑĨ Ñĥз",
+      "ÑĨÑĥ з",
+      "رÙĬ ÙĤØ©",
+      "رÙĬÙĤ Ø©",
+      "à¤¿à¤Ľ ल",
+      "è² ©",
+      "ĠУ кÑĢаÑĹн",
+      "ĠУкÑĢаÑĹ Ð½",
+      "ĠÙħسئ ÙĪÙĦ",
+      "Ġо ÑĩÑĸ",
+      "ĠоÑĩ Ñĸ",
+      "æľĢ å¾Į",
+      "Ġзна Ñİ",
+      "Ġзн аÑİ",
+      "à¹ī à¸Ļà¸Ĺ",
+      "à¹īà¸Ļ à¸Ĺ",
+      "ĠÑĤ еÑĢап",
+      "ĠÑĤеÑĢ ап",
+      "ĠÑĤе ÑĢап",
+      "ĠÑģп ок",
+      "ĠØ®ÙĪد رÙĪ",
+      "éĺ »",
+      "Ġdüz ey",
+      "ä¸Ģ åĢĭ",
+      "ا ÙģÙĩ",
+      "اÙģ Ùĩ",
+      "à¤Ĥ य",
+      "èµĦ 产",
+      "继 ç»Ń",
+      "ĠÑģ лаб",
+      "ĠÑģл аб",
+      "æĦı æĢĿ",
+      "ĠíĻĺ ìĤ°",
+      "ĠÑı ÑĢ",
+      "Ġd ůvod",
+      "Ġdů vod",
+      "çĿ Ľ",
+      "تÛĮ ب",
+      "ĠÙĪ ÛĮر",
+      "ĠÙĪÛĮ ر",
+      "ĠÙĩ زÛĮÙĨÙĩ",
+      "Ġben zer",
+      "Ġbenz er",
+      "ĠÙħ ادÙĩ",
+      "ĠÙħا دÙĩ",
+      "ĠÙħاد Ùĩ",
+      "à¥Į à¤ķ",
+      "Ġ à¹Ģà¸ķ",
+      "Ġà¹Ģ à¸ķ",
+      "Ġà¹Ģภķ",
+      "ãĤĪ ãģı",
+      "ид енÑĤ",
+      "èĭ± èªŀ",
+      "е ÑĢÑĭ",
+      "еÑĢ Ñĭ",
+      "Ġê¸Ī ìķ¡",
+      "Ġ ãĥ¼",
+      "Ġãĥ ¼",
+      "Ġ ëį¤íĶĦ",
+      "Ġëį ¤íĶĦ",
+      "ÑĢ аÑĤÑĮ",
+      "ÑĢа ÑĤÑĮ",
+      "ÑĢаÑĤ ÑĮ",
+      "Ġ åįķ",
+      "Ġåį ķ",
+      "à¹Ģà¸ī à¸ŀาะ",
+      "Ġ æĶ¿",
+      "ĠæĶ ¿",
+      "Ġà¤Ĩ म",
+      "Ġз ни",
+      "Ġзн и",
+      "Ġ ëĿ¼ìĿ´",
+      "ĠëĿ¼ ìĿ´",
+      "æİ Į",
+      "çIJĨ çĶ±",
+      "Ġ اغ",
+      "Ġا غ",
+      "ĠØ§Ø º",
+      "ĠÑģ иг",
+      "ĠÑģи г",
+      "Ġе ÑĦекÑĤив",
+      "ĠÐŁ ÑĢед",
+      "ĠÐŁÑĢ ед",
+      "ãĥ´ ãĤ£",
+      "Ġви ко",
+      "Ġвик о",
+      "Ġt vrd",
+      "Ġtv rd",
+      "ëĤ´ 기",
+      "ãĥĭ ãĤ¢",
+      "ĠÙħشاÙĩ دÙĩ",
+      "Ġस à¤ļ",
+      "l Ã¼ÄŁ",
+      "lü ÄŁ",
+      "è¯ģ åĪ¸",
+      "Ġs iêu",
+      "Ġsi êu",
+      "Ġ оÑĤв",
+      "ĠоÑĤ в",
+      "Ġvyt voÅĻ",
+      "ĠØŃ ÙħÙĦ",
+      "ĠØŃÙħ ÙĦ",
+      "ĠÑĦ ÑĢан",
+      "à¹ī à¸Ķ",
+      "åĮ» éĻ¢",
+      "Ġв лад",
+      "Ġвла д",
+      "غ ÙĦ",
+      "建 ç«ĭ",
+      "os loven",
+      "osl oven",
+      "и лаÑģÑĮ",
+      "ила ÑģÑĮ",
+      "عÙĦ ÙĪÙħات",
+      "عÙĦÙĪÙħ ات",
+      "Ġ ترÛĮÙĨ",
+      "Ġتر ÛĮÙĨ",
+      "ÎŃ Ïģει",
+      "ÎŃÏģ ει",
+      "Ġb áºŃt",
+      "ĠÙħØ´ Ú©",
+      "Ġر ئÙĬس",
+      "Ġرئ ÙĬس",
+      "Ġìłľ ìŀij",
+      "γ η",
+      "Ġн Ñĸк",
+      "ĠнÑĸ к",
+      "Ġ구 ìĦ±",
+      "ĠÄij en",
+      "Ġà¤ļ र",
+      "Ġgeç miÅŁ",
+      "äºĨ 解",
+      "Ġл еÑģ",
+      "Ġqu anh",
+      "Ġqua nh",
+      "Ġquan h",
+      "ãĢĮ æĪij",
+      "ĠNÄĽkter á",
+      "ëŀ į",
+      "Ãħ Ÿ",
+      "à¤Ĥ दर",
+      "à¤Ĥद र",
+      "ìķĦ ìĿ´",
+      "å°ij ãģĹ",
+      "ĠØ´Ùĩر ÛĮ",
+      "ĠØ´Ùĩ رÛĮ",
+      "κ ÏĦη",
+      "ĠâĹ Ħ",
+      "Ġ Ùĥس",
+      "ĠÙĥ س",
+      "è· Į",
+      "Ã ı",
+      "å·¥ åħ·",
+      "åĬ ĥ",
+      "p om",
+      "po m",
+      "ĠнавÑĩ аннÑı",
+      "Ġ رج",
+      "Ġر ج",
+      "ÑĢ ÑĥеÑĤÑģÑı",
+      "ÑĢÑĥ еÑĤÑģÑı",
+      "ÑĢÑĥеÑĤ ÑģÑı",
+      "Ġν ÎŃ",
+      "ÛĮÙĨ Ú©",
+      "à¹Ĥ à¸ĭ",
+      "åĭ ¤",
+      "ãģĹãģ¾ ãģĨ",
+      "ĠÑģ оглаÑģ",
+      "ĠÑģог лаÑģ",
+      "éĩij èŀį",
+      "ç »¿",
+      "ç» ¿",
+      "ĠС ан",
+      "æķ µ",
+      "Ġпо вÑĸÑĤ",
+      "Ġпов ÑĸÑĤ",
+      "Ġпом оÑīи",
+      "ĠпомоÑī и",
+      "ãĥ¡ ãĥªãĤ«",
+      "ãĤ· ãĤ¢",
+      "ĠÏĢ ÏģοÏĤ",
+      "ĠÏĢÏģο ÏĤ",
+      "èĪª 空",
+      "ĠваÑĢи анÑĤ",
+      "ĠваÑĢиан ÑĤ",
+      "Ġyalnız ca",
+      "ç³» çµ±",
+      "ĠÙģ ÙĪر",
+      "ĠÙģÙĪ ر",
+      "оÑĩ ной",
+      "оÑĩно й",
+      "à¹Ģว à¸Ńร",
+      "ĠкÑĥлÑĮ ÑĤÑĥÑĢ",
+      "ĠкÑĥлÑĮÑĤÑĥ ÑĢ",
+      "Ïĩ ι",
+      "ÄįÃŃ ta",
+      "Â ĵ",
+      "人 ãģĮ",
+      "κ οÏį",
+      "κο Ïį",
+      "ĠÑĢе ÑĶ",
+      "Ġв ÑģÑİ",
+      "ĠвÑģ Ñİ",
+      "éº Ĺ",
+      "Ġز ÙĨاÙĨ",
+      "ĠزÙĨ اÙĨ",
+      "çĭ Ĥ",
+      "Ġ หม",
+      "Ġห ม",
+      "Ġx úc",
+      "åħ Ĵ",
+      "ÄŁ inin",
+      "ÄŁi nin",
+      "ÄŁini n",
+      "ÄŁin in",
+      "åĸľ 欢",
+      "ĠÑģÑĤ ад",
+      "ĠÑģÑĤа д",
+      "iy esi",
+      "iye si",
+      "ìļ ±",
+      "è Ŀ",
+      "Ġ kus",
+      "Ġk us",
+      "Ġku s",
+      "ÏĦ ολ",
+      "ÏĦο λ",
+      "г Ñĸв",
+      "Ñĸ ли",
+      "Ñĸл и",
+      "ãģĦ ãĤĦ",
+      "é© Ĺ",
+      "ont rol",
+      "ا ÙĦÙĥ",
+      "اÙĦ Ùĥ",
+      "к овиÑħ",
+      "ко виÑħ",
+      "ков иÑħ",
+      "ĠÑģÑĤ ало",
+      "ĠÑģÑĤал о",
+      "ĠÑģÑĤа ло",
+      "ĠÎł αÏģα",
+      "Ġγα Ïģα",
+      "ĠγαÏģ α",
+      "Ġ chy",
+      "Ġc hy",
+      "Ġch y",
+      "Ġcih az",
+      "ĩ ´",
+      "ìŀ¥ ìĿ´",
+      "a ceae",
+      "ace ae",
+      "acea e",
+      "Ø´ Ùĩر",
+      "Ø´Ùĩ ر",
+      "ил аннÑı",
+      "çļĦ å°ı",
+      "Ġth ụ",
+      "Ġthá» ¥",
+      "ÙĪ ÙĨت",
+      "ÙĪÙĨ ت",
+      "л оÑĢ",
+      "ло ÑĢ",
+      "ãĤĴ æĮģ",
+      "ĠÎĶ ι",
+      "Ġ 羣",
+      "Ġçľ Ł",
+      "ÐĽ Ðŀ",
+      "é½ IJ",
+      "çİ Ħ",
+      "ا ÙĪÙĩ",
+      "اÙĪ Ùĩ",
+      "Ġи нÑĤ",
+      "Ġин ÑĤ",
+      "à¥Ģ à¤Łà¤°",
+      "à¥Ģà¤Ł र",
+      "Ġ обÑīе",
+      "Ġоб Ñīе",
+      "ĠобÑī е",
+      "Ġдеп ÑĥÑĤ",
+      "μÎŃν εÏĤ",
+      "ĠÙĥ ÙĬÙģ",
+      "ع ÙħÙĦ",
+      "عÙħ ÙĦ",
+      "ï¼Į å¦Ĥæŀľ",
+      "ï¼Įå¦Ĥ æŀľ",
+      "Ġин ÑĦек",
+      "i tele",
+      "it ele",
+      "ite le",
+      "itel e",
+      "Ġ ãĢĢãĢĢĠãĢĢ",
+      "ĠãĢĢ ãĢĢĠãĢĢ",
+      "ĠãĢĢãĢĢ ĠãĢĢ",
+      "ãĤ¤ ãĥ³ãĥĪ",
+      "ãĤ¤ãĥ³ ãĥĪ",
+      "л ÑĸÑĤ",
+      "лÑĸ ÑĤ",
+      "Ġ ÑģÑİ",
+      "ĠÑģ Ñİ",
+      "Ġz ase",
+      "Ġza se",
+      "Ġzas e",
+      "d ech",
+      "de ch",
+      "dec h",
+      "е ко",
+      "ек о",
+      "è® ĵ",
+      "åı ¬",
+      "з ем",
+      "Îł Îij",
+      "Ġvz du",
+      "า à¸Īาà¸ģ",
+      "าà¸Ī าà¸ģ",
+      "ko liv",
+      "kol iv",
+      "koli v",
+      "zk um",
+      "èģ Ĭ",
+      "Ġì±Ħ ìļ©",
+      "๠į",
+      "Ġ asp",
+      "Ġa sp",
+      "Ġas p",
+      "Û² Û´",
+      "ìĿ¸ ëį°",
+      "ĠkarÅŁÄ± laÅŁ",
+      "ï¼Į åı¯ä»¥",
+      "ï¼Įåı¯ 以",
+      "Ġà¤ĩन à¤ķ",
+      "Ġ ìĬ¤íĥĢ",
+      "ĠìĬ¤ íĥĢ",
+      "éĥ¨ å±ĭ",
+      "åĪ¶ ä½ľ",
+      "ãĥ¼ ãĤ·ãĥ§ãĥ³",
+      "ον ÏĦαÏĤ",
+      "γ ο",
+      "Ġìŀij ìĦ±",
+      "èij £",
+      "oz ÅĻejmÄĽ",
+      "ĠÑĢезÑĥлÑĮÑĤаÑĤ е",
+      "ĠÑĢезÑĥлÑĮÑĤ аÑĤе",
+      "ĠIns ecta",
+      "Ġs kon",
+      "Ġsk on",
+      "o tu",
+      "ot u",
+      "Ġp ÄĽt",
+      "ĠpÄĽ t",
+      "Ñģ ÑĮого",
+      "ÑģÑĮ ого",
+      "ĠÄ°s lam",
+      "Ġl á»ħ",
+      "Ġlá» ħ",
+      "ä¸Ń åľĭ",
+      "ĠÐľÑĸ нÑĸÑģÑĤ",
+      "åIJĪ åIJĮ",
+      "asy onu",
+      "asyon u",
+      "ож еÑĤ",
+      "оже ÑĤ",
+      "èĩª åĬ¨",
+      "ÑģÑĮ коÑİ",
+      "ÑģÑĮк оÑİ",
+      "ÑģÑĮко Ñİ",
+      "ĠkiÅŁ isel",
+      "ĠkiÅŁi sel",
+      "ÏĦ ικοÏį",
+      "ÏĦικ οÏį",
+      "ÏĦι κοÏį",
+      "ÏĦικο Ïį",
+      "Ġ ÑĥÑĩаÑģ",
+      "ĠÑĥ ÑĩаÑģ",
+      "ĠÑĥÑĩ аÑģ",
+      "ĠÑĥÑĩа Ñģ",
+      "ıl mÄ±ÅŁtır",
+      "ılmÄ±ÅŁ tır",
+      "ĠÑı ке",
+      "ĠÑıк е",
+      "Ñī инÑĭ",
+      "Ñīи нÑĭ",
+      "Ñīин Ñĭ",
+      "м аÑĢ",
+      "ма ÑĢ",
+      "Ġso udu",
+      "Ġsou du",
+      "Ġsoud u",
+      "Âł Я",
+      "Ġд ÑĢÑĥ",
+      "ĠдÑĢ Ñĥ",
+      "ãģ¡ ãĤĩ",
+      "à¥ĭ à¥ľ",
+      "ï¾ ij",
+      "Ġ ÏĦÏĮ",
+      "ĠÏĦ ÏĮ",
+      "Ġ ضر",
+      "Ġض ر",
+      "l áš",
+      "lá š",
+      "Ġд Ñĸв",
+      "ĠдÑĸ в",
+      "Ġج دÙĬد",
+      "Ġجد ÙĬد",
+      "Ġнеб олÑĮÑĪ",
+      "ĠнеболÑĮ ÑĪ",
+      "éģ Ń",
+      "ç» į",
+      "ĠKur ulu",
+      "ĠKurul u",
+      "ÑģÑĤÑĢ ÑĥменÑĤ",
+      "ÑģÑĤÑĢÑĥ менÑĤ",
+      "è¿Ļ æĺ¯",
+      "ìĻ Ķëĭ¤",
+      "ìĻĶ ëĭ¤",
+      "м елÑĮ",
+      "ме лÑĮ",
+      "Ġ ä¼Ĭ",
+      "ủ ng",
+      "ĠзавиÑģим оÑģÑĤи",
+      "ëį ¤íĶĦ",
+      "çĩ ĥ",
+      "è¿ĩ åİ»",
+      "ĠзаÑģÑĤоÑģ ÑĥваннÑı",
+      "Ġداخ ÙĦÛĮ",
+      "ĠداخÙĦ ÛĮ",
+      "Ñī Ñij",
+      "ĠÂłĠÂł ĠÂłĠÂłĠÂłĠÂł",
+      "ĠÂłĠÂłĠÂłĠÂł ĠÂłĠÂł",
+      "ïº ®",
+      "ĠاÙĦÙħ ÙħÙĦÙĥØ©",
+      "s ında",
+      "sı nda",
+      "sın da",
+      "è³ Ģ",
+      "å± ı",
+      "Ġ ê¿",
+      "Ġê ¿",
+      "Ġdo ktor",
+      "Ġdok tor",
+      "ĠÙĤ اب",
+      "ĠS ist",
+      "ĠSi st",
+      "ĠмеÑģÑĤ е",
+      "ĠÑģоÑħ ÑĢа",
+      "ا شتÙĩ",
+      "اش تÙĩ",
+      "اشت Ùĩ",
+      "Ġ æľŁ",
+      "ĠпоÑģк олÑĮкÑĥ",
+      "Ġp ev",
+      "Ġpe v",
+      "ا گر",
+      "اگ ر",
+      "Ùħ ز",
+      "Ġض ÙħÙĨ",
+      "ॠ©",
+      "g esi",
+      "ge si",
+      "ges i",
+      "a ÄŁa",
+      "aÄŁ a",
+      "解 åĨ³",
+      "ëħ¸ ì¶ľ",
+      "Ġl uyá»ĩn",
+      "Ġкон ÑĤак",
+      "ĠконÑĤ ак",
+      "ภº",
+      "Ġ NgÃły",
+      "ĠNg Ãły",
+      "Ġvý stav",
+      "Ġth uyết",
+      "اÛĮ ع",
+      "Ġ: /:",
+      "Ġ:/ :",
+      "Ġph ạt",
+      "ĠÎij ÏĢÏĮ",
+      "ĠÎijÏĢ ÏĮ",
+      "Ġ muz",
+      "Ġm uz",
+      "Ġmu z",
+      "Ġ ìĥī",
+      "Ġìĥ ī",
+      "ĠÃĩ in",
+      "Ġکار برد",
+      "Ġکاربر د",
+      "ائ د",
+      "ب اد",
+      "با د",
+      "à¥į तम",
+      "à¥įत म",
+      "Ġ ëijĺ",
+      "Ġëij ĺ",
+      "Ġм оз",
+      "Ġмо з",
+      "Å¡ ÃŃch",
+      "Å¡ÃŃ ch",
+      "Ġ มห",
+      "Ġม ห",
+      "ĠØ¢ س",
+      "ĠÑģ лиÑĪком",
+      "èĥ ¡",
+      "è£ ģ",
+      "æĪ »",
+      "ĠìĦ¤ ëªħ",
+      "Ġo tom",
+      "Ġot om",
+      "Ġoto m",
+      "Ġलà¤Ĺ à¤Ńà¤Ĺ",
+      "à¸ĩ à¸ģ",
+      "ا بد",
+      "اب د",
+      "à¸Ļ าม",
+      "à¸Ļา ม",
+      "èĤ ©",
+      "Ġشد ÙĨد",
+      "ĠشدÙĨ د",
+      "ãģĿãģ® ä»ĸ",
+      "ad lo",
+      "ÄĽ n",
+      "ĠÙĦ Ùĩا",
+      "ĠÙĦÙĩ ا",
+      "Ġмин им",
+      "Ġми ним",
+      "Ġd ÅĻev",
+      "ĠTh iên",
+      "ĠThi ên",
+      "ëŀ Ļ",
+      "en gin",
+      "eng in",
+      "à¥Ģ मत",
+      "à¥Ģम त",
+      "ĠÑĥп оÑĤÑĢеб",
+      "âĢĮ تر",
+      "Ġç¥ŀ 马",
+      "ov ánÃŃm",
+      "ová nÃŃm",
+      "ovánÃŃ m",
+      "ován ÃŃm",
+      "Ġд ело",
+      "Ġдел о",
+      "Ġде ло",
+      "Ġ ç¼ĸ",
+      "Ġç¼ ĸ",
+      "ĠاÙĦ ظ",
+      "Ġ вий",
+      "Ġв ий",
+      "Ġви й",
+      "а ÑĤом",
+      "аÑĤ ом",
+      "аÑĤо м",
+      "åħ¬ åijĬ",
+      "ĠÄij em",
+      "ãĤ· ãĥªãĥ¼ãĤº",
+      "ä¸ĭ çļĦ",
+      "l ası",
+      "la sı",
+      "las ı",
+      "ĠвÑĭ боÑĢ",
+      "ĠвÑĭб оÑĢ",
+      "ÑĤ оÑĤ",
+      "ÑĤо ÑĤ",
+      "ëıĦ ë³Ħ",
+      "ĠÑĥ ÑģÑĤан",
+      "ĠÑĥÑģÑĤ ан",
+      "Ġ íŀĪ",
+      "Ġíŀ Ī",
+      "лÑĥ аÑĤа",
+      "Ġth ác",
+      "а нием",
+      "ан ием",
+      "ани ем",
+      "ание м",
+      "ов аÑĤÑĮÑģÑı",
+      "ова ÑĤÑĮÑģÑı",
+      "оваÑĤÑĮ ÑģÑı",
+      "ÑĤ ÑĶ",
+      "ÐŃ ÑĤо",
+      "ï¼Į è¦ģ",
+      "ĠV z",
+      "ĠØŃ ÙĪزÙĩ",
+      "ĠØŃÙĪ زÙĩ",
+      "- к",
+      "V Ỽi",
+      "ent ů",
+      "Ġbulun duÄŁu",
+      "Ġbulundu ÄŁu",
+      "ر ÙĪØ·",
+      "رÙĪ Ø·",
+      "ĠÑĹ Ð¹",
+      "Ġçev r",
+      "Ġ ÅĻed",
+      "ĠÅĻ ed",
+      "ĠÅĻe d",
+      "Ġس اختÙĩ",
+      "Ġساخت Ùĩ",
+      "åĬŀ æ³ķ",
+      "Ġ ÙĤÙĦ",
+      "ĠÙĤ ÙĦ",
+      "i ÅŁi",
+      "iÅŁ i",
+      "ï¼Ŀ ï¼Ŀ",
+      "س اس",
+      "Ġúdaj ů",
+      "å ¬",
+      "æį Ł",
+      "á ct",
+      "ác t",
+      "ĠÎij ÏĢ",
+      "çĪ ·",
+      "Ġ ÅĻád",
+      "ĠÅĻ ád",
+      "Ġl á»Ĺi",
+      "Ġlá» Ĺi",
+      "Ġlá»Ĺ i",
+      "on tent",
+      "ont ent",
+      "onte nt",
+      "ĠÙħ Ø°",
+      "ol oji",
+      "olo ji",
+      "oloj i",
+      "Ġپرد اخت",
+      "à¹ī าà¸ŀ",
+      "à¹īา à¸ŀ",
+      "ĠдейÑģÑĤв иÑı",
+      "Ġmnož stvÃŃ",
+      "ìķĪ ë§Ī",
+      "åģ ¶",
+      "Ġ ÃĶng",
+      "ĠÃĶ ng",
+      "Ġdak ika",
+      "hen dis",
+      "hend is",
+      "Ġb ác",
+      "å¯ ¶",
+      "à¹ĩà¸ģ หà¸į",
+      "noc enÃŃ",
+      "ĠErd oÄŁan",
+      ": ::::::::::::",
+      ":: :::::::::::",
+      ":::: :::::::::",
+      ":::::: :::::::",
+      ":::::::: :::::",
+      "::: ::::::::::",
+      "::::: ::::::::",
+      "::::::: ::::::",
+      "::::::::: ::::",
+      ":::::::::: :::",
+      "::::::::::: ::",
+      ":::::::::::: :",
+      "аÑĤ ем",
+      "аÑĤе м",
+      "d ız",
+      "dı z",
+      "ĠØ£ÙĬ ضا",
+      "ĠØ£ÙĬض ا",
+      "ĠÑįÑĦ ÑĦек",
+      "ãĤĮ ãģ¦ãģĦãĤĭ",
+      "ãĤĮãģ¦ ãģĦãĤĭ",
+      "ĠbaÅŁv uru",
+      "ĠbaÅŁvur u",
+      "ά νει",
+      "άν ει",
+      "ĠÏĦε λεÏħÏĦα",
+      "Ġê²Ģ ìĥī",
+      "ĠÚ©ÙĨ ترÙĦ",
+      "Ġ शà¤ķ",
+      "Ġश à¤ķ",
+      "å¼ ¹",
+      "Ġol muÅŁtur",
+      "Ġolm uÅŁtur",
+      "ĠolmuÅŁ tur",
+      "Ġв ÑģÑĤÑĥп",
+      "ĠвÑģÑĤ Ñĥп",
+      "Ñĩ ила",
+      "Ñĩи ла",
+      "Ñĩил а",
+      "ย า",
+      "ĠØ£ØŃ Ùħد",
+      "os lav",
+      "osl av",
+      "ĠÑĩа Ñģов",
+      "ĠÑĩаÑģ ов",
+      "Ġzá kladnÃŃ",
+      "Ġzáklad nÃŃ",
+      "Ġस व",
+      "д он",
+      "до н",
+      "ĠÅĻÃŃj na",
+      "κ οÏħ",
+      "κο Ïħ",
+      "éĢģ æĸĻçĦ¡æĸĻ",
+      "éĢģæĸĻ çĦ¡æĸĻ",
+      "Ïĥ ίαÏĤ",
+      "Ïĥία ÏĤ",
+      "Ïĥί αÏĤ",
+      "ãĤ´ ãĥª",
+      "Ġв иб",
+      "Ġви б",
+      "å½ Ĵ",
+      "Ġназ ад",
+      "ĠçĻ¾åº¦ æĶ¶å½ķ",
+      "á» Ĩ",
+      "Ġkal dı",
+      "ì¼ ľ",
+      "Ġ íıŃ",
+      "Ġíı Ń",
+      "ĠÑĩи ном",
+      "ĠÑĩин ом",
+      "è ¹",
+      "Ñı л",
+      "ĠÑĢаз дел",
+      "ĠÑĢазд ел",
+      "d G",
+      "ĠT ento",
+      "ĠTen to",
+      "ĠTent o",
+      "Ñı ÑĤÑĮÑģÑı",
+      "ÑıÑĤÑĮ ÑģÑı",
+      "éĿ¢ çļĦ",
+      "ĠÎķ ÏĢι",
+      "ĠÎķÏĢ ι",
+      "ê° ij",
+      "Ġk èm",
+      "ни ÑĨÑı",
+      "ниÑĨ Ñı",
+      "çĸ «",
+      "éĽ Ļ",
+      "ĠÙħر Ùĥز",
+      "Ġна Ñĥк",
+      "å¢ Ĺ",
+      "ĠÑĤе пеÑĢ",
+      "ĠÑĤеп еÑĢ",
+      "ा à¤ł",
+      "ाठł",
+      "à¹ĩà¸ļ à¹Ħà¸ĭà¸ķ",
+      "μβ ÏģίοÏħ",
+      "ĠÑĦÑĸн анÑģов",
+      "ĠÑĦÑĸнанÑģ ов",
+      "Ñĸ ÑĶÑİ",
+      "ÑĸÑĶ Ñİ",
+      "Ïģ ίζ",
+      "Ïģί ζ",
+      "ì¤ Ħ",
+      "ĠباÙĨ Ú©",
+      "t ul",
+      "tu l",
+      "li ÄŁini",
+      "liÄŁi ni",
+      "liÄŁ ini",
+      "liÄŁin i",
+      "ĠпозволÑı еÑĤ",
+      "Ġпозвол ÑıеÑĤ",
+      "Ïĥ ί",
+      "Ġ ìĽĥ",
+      "ĠìĽ ĥ",
+      "à¹Į à¸Ħ",
+      "Ġpol ov",
+      "Ġpo lov",
+      "Ġpolo v",
+      "ìŀ¥ ìĿĦ",
+      "is té",
+      "ist é",
+      "ĠС Ð¡Ð¡Ðł",
+      "á hl",
+      "áh l",
+      "è ¥",
+      "Ġкомп лек",
+      "à¸Ĥ à¸Ļาà¸Ķ",
+      "ั ศ",
+      "ν αν",
+      "να ν",
+      "Ġç¥ŀ马 æĶ¶å½ķ",
+      "ìĭľ ìĺ¤",
+      "Ġé¦ĸ页 第",
+      "ĠçĻ¾åº¦ æµģéĩı",
+      "åij¨ æĶ¶å½ķ",
+      "Ġh atta",
+      "Ġhat ta",
+      "ÐĴ Ñĸд",
+      "ĠвÑĭ ÑģÑĤÑĥп",
+      "Ú© ارÛĮ",
+      "کار ÛĮ",
+      "کا رÛĮ",
+      "K hi",
+      "Kh i",
+      "Ġì°¾ ìķĦ",
+      "Ġn ặng",
+      "éĨ «",
+      "ĠV Å¡",
+      "ĠпеÑĢ ен",
+      "ĠпеÑĢе н",
+      "л ава",
+      "ла ва",
+      "лав а",
+      "ÙĬ ÙħÙĬ",
+      "ÙĬÙħ ÙĬ",
+      "Ġvat andaÅŁ",
+      "Ġ ιÏĥÏĦο",
+      "Ġι ÏĥÏĦο",
+      "Ġ à¸ĵ",
+      "Ġภĵ",
+      "स ल",
+      "г ен",
+      "ге н",
+      "Ġ بÙĪر",
+      "Ġب ÙĪر",
+      "ĠبÙĪ ر",
+      "âĢĮدÙĩ د",
+      "âĢĮد Ùĩد",
+      "l ıklı",
+      "lık lı",
+      "Ġ strate",
+      "Ġst rate",
+      "Ġstr ate",
+      "Ġstrat e",
+      "Ġstra te",
+      "ب ÙĪر",
+      "بÙĪ ر",
+      "ãĢģ ãĤ¢",
+      "Ġson uc",
+      "Ġsonu c",
+      "Ġна иболее",
+      "- в",
+      "Ġвод ой",
+      "oj enÃŃ",
+      "oje nÃŃ",
+      "Ġغ رب",
+      "Ġغر ب",
+      "Ġb eri",
+      "Ġbe ri",
+      "Ġber i",
+      "a dÄĽ",
+      "ad ÄĽ",
+      "Ġd ovol",
+      "Ġdo vol",
+      "Ġdov ol",
+      "âĢĮÚ©ÙĨ ÙĨدگاÙĨ",
+      "âĢĮÚ©ÙĨÙĨد گاÙĨ",
+      "ãģķ ãĤī",
+      "ãĥ³ ãĤº",
+      "ãĤ« ãĥ«",
+      "om etr",
+      "ome tr",
+      "omet r",
+      "åĩ Ģ",
+      "ĠÙģ ÙĪÙĦ",
+      "ĠÙģÙĪ ÙĦ",
+      "ĠÙħ ÙĪسÛĮ",
+      "ĠÙħÙĪ سÛĮ",
+      "ĠÙħÙĪس ÛĮ",
+      "ĠاÙĦÙħغ رب",
+      "e cko",
+      "ec ko",
+      "eck o",
+      "ÙĢÙĢÙĢÙĢ ÙĢÙĢÙĢÙĢ",
+      "ê°Ģ 격",
+      "ÑĢ ÑĥÑĤ",
+      "ÑĢÑĥ ÑĤ",
+      "Ġ ë¶Ģë¶Ħ",
+      "Ġë¶Ģ ë¶Ħ",
+      "ĠpÅĻed pis",
+      "Ġoprav du",
+      "еÑĤ иÑĩ",
+      "еÑĤи Ñĩ",
+      "à¹Ĥ à¸Ħรà¸ĩà¸ģาร",
+      "æ ħ§",
+      "æħ §",
+      "æĭ ľ",
+      "س Ùĥ",
+      "ìŀ¡ ëĭ´",
+      "à¸Ľà¸£à¸°à¸¡ าà¸ĵ",
+      "è´¨ éĩı",
+      "Ġголов Ñĥ",
+      "Ġгол овÑĥ",
+      "л ениÑİ",
+      "лен иÑİ",
+      "ле ниÑİ",
+      "Ġन à¤ı",
+      "Ġprojekt u",
+      "ا Ùģر",
+      "اÙģ ر",
+      "at ivnÃŃ",
+      "ati vnÃŃ",
+      "ativ nÃŃ",
+      "ÎŃ Î½ÏĦ",
+      "ÎŃν ÏĦ",
+      "ãĥī ãĥ©",
+      "Ġted av",
+      "ê ¼",
+      "à¸Ľà¸£à¸°à¸ģ าศ",
+      "Ġt uto",
+      "Ġtu to",
+      "Ġtut o",
+      "Ġch iếu",
+      "Ġchi ếu",
+      "Ġchiế u",
+      "Ġv yz",
+      "Ġvy z",
+      "ÑĢ оÑĪ",
+      "ÑĢо ÑĪ",
+      "åıĸ å¾Ĺ",
+      "Ġм иÑģÑĤ",
+      "Ġми ÑģÑĤ",
+      "ĠмиÑģ ÑĤ",
+      "ĠÑģлÑĥÑĩа ÑıÑħ",
+      "Ġغ Ø°",
+      "ĠÑĥ клад",
+      "ĠÑĥк лад",
+      "ĠÑĥÑģÑĤанов лен",
+      "Ġtes lim",
+      "Ġ ãĢį",
+      "ĠãĢ į",
+      "Ġ è£",
+      "Ġè £",
+      "æ¯ «",
+      "éĬĢ è¡Į",
+      "e cts",
+      "ect s",
+      "ec ts",
+      "k emiz",
+      "kem iz",
+      "ν ηÏĤ",
+      "νη ÏĤ",
+      "è¾ º",
+      "Ġп ÑĢем",
+      "ĠпÑĢ ем",
+      "ĠпÑĢе м",
+      "Ġson ucu",
+      "Ġsonuc u",
+      "Ġsonu cu",
+      "P okud",
+      "Po kud",
+      "Pok ud",
+      "ĠÐŀÑģ об",
+      "è¾ Ľ",
+      "è¼ ¸",
+      "ë³´ ê³ł",
+      "à¸ļ à¸Ħ",
+      "ãĢĤ ãĢį",
+      "ा ।ĊĊ",
+      "ा। ĊĊ",
+      "ा।Ċ Ċ",
+      "ĠÑģамоÑģÑĤ оÑıÑĤелÑĮ",
+      "ÙĦ ÛĮت",
+      "ÙĦÛĮ ت",
+      "λ εκ",
+      "λε κ",
+      "ĠÑĢай она",
+      "ĠÑĢайон а",
+      "ÑĮ и",
+      "à¹Ī าà¸Ĺ",
+      "à¹Īา à¸Ĺ",
+      "Ġ à¸Ľà¸£à¸°à¹Ģà¸Ĺศ",
+      "Ġà¸Ľà¸£à¸° à¹Ģà¸Ĺศ",
+      "ม à¸Ń",
+      "ا Ùĩر",
+      "اÙĩ ر",
+      "Ġви боÑĢ",
+      "Ġвиб оÑĢ",
+      "ÑİÑĩи ÑģÑĮ",
+      "Ġp ovol",
+      "Ġpo vol",
+      "Ġpov ol",
+      "a base",
+      "ab ase",
+      "aba se",
+      "âĢ³ N",
+      "Ú© ÙĪ",
+      "ĠУкÑĢаÑĹ Ð½Ð°",
+      "ĠУкÑĢа ÑĹна",
+      "ĠУкÑĢаÑĹн а",
+      "sta nov",
+      "stan ov",
+      "ĠÑĥÑĩ аÑģÑĤи",
+      "ĠÑĥÑĩа ÑģÑĤи",
+      "ĠÑĥÑĩаÑģÑĤ и",
+      "ĠÑĥÑĩаÑģ ÑĤи",
+      "Ġh lad",
+      "Ġhl ad",
+      "ĠÑĢаÑģÑģ каз",
+      "ãģ¿ ãģŁãģĦ",
+      "á½ °",
+      "Ġ åĽŀ",
+      "ĠåĽ ŀ",
+      "Ġ Æ°Æ¡ng",
+      "α Ïģά",
+      "αÏģ ά",
+      "خ ب",
+      "æį ķ",
+      "ÃŃ ÅĻ",
+      "Ġ سÛĮÙĨ",
+      "Ġس ÛĮÙĨ",
+      "ĠسÛĮ ÙĨ",
+      "Âł in",
+      "ĠM ÄĽst",
+      "æķĻ åѦ",
+      "ĠоÑģоб иÑģÑĤ",
+      "ĠоÑģоби ÑģÑĤ",
+      "u ji",
+      "uj i",
+      "çĶ» åĥı",
+      "ĠداÙĨ Ø´ÙĨاÙħÙĩ",
+      "ĠداÙĨØ´ ÙĨاÙħÙĩ",
+      "ìĿ´ ìķ¼",
+      "Ġзап иÑĤ",
+      "ĠÑģво ими",
+      "ĠÑģвои ми",
+      "ĠÑģвоим и",
+      "Û²Û° Û²",
+      "ï¼Į å°Ĩ",
+      "ãĥ¼ ãģ®",
+      "Ġth ÃŃ",
+      "ĠÙħت ÙĪسط",
+      "à¥ĩ Ċ",
+      "å¤ļ å°ij",
+      "ï¼Į çĦ¶åIJİ",
+      "íĹ Ī",
+      "Ġ à¤Ńà¤Ĺ",
+      "Ġà¤Ń à¤Ĺ",
+      "Ġ åı·",
+      "Ġåı ·",
+      "Ġt eor",
+      "Ġte or",
+      "å Ĥ¨",
+      "åĤ ¨",
+      "Ġ ÑĢÑĸÑĩ",
+      "ĠÑĢ ÑĸÑĩ",
+      "ĠÑģÑĤаÑĤ ÑĤÑĸ",
+      "Ġرابط Ùĩ",
+      "Ġ ï¼ľ",
+      "Ġï¼ ľ",
+      "ب اØŃ",
+      "با ØŃ",
+      "ิà¸Ļ à¸Ĺาà¸ĩ",
+      "ิà¸Ļà¸Ĺ าà¸ĩ",
+      "à¥ĩà¤Ĥ Ċ",
+      "ائ ÙĤ",
+      "ĠاÙĦج دÙĬد",
+      "l iÄį",
+      "li Äį",
+      "ا ØŃÙĦ",
+      "اØŃ ÙĦ",
+      "mé nÄĽ",
+      "Ġb ầu",
+      "ĠÐĴ ал",
+      "Ġб лагод",
+      "Ġбла год",
+      "Ġблаг од",
+      "еÑĤ елÑĮ",
+      "еÑĤе лÑĮ",
+      "å¹³ åĿĩ",
+      "м ин",
+      "ми н",
+      "Ġsü rec",
+      "Ġsür ec",
+      "Ġsüre c",
+      "Ġза вод",
+      "Ġзав од",
+      "èį IJ",
+      "ÑĤ ий",
+      "ÑĤи й",
+      "л об",
+      "ло б",
+      "Ġ вок",
+      "Ġв ок",
+      "Ġво к",
+      "l adıģı",
+      "la dıģı",
+      "lad ıģı",
+      "ladı ģı",
+      "ladıģ ı",
+      "اÙĬ ÙĬ",
+      "ê²ł ìĬµëĭĪëĭ¤",
+      "Ġamac ıyla",
+      "Ġamacı yla",
+      "ï¼Į åĽłä¸º",
+      "ï¼ĮåĽł 为",
+      "ãģ§ ãģĤãģ£ãģŁ",
+      "ãģ§ãģĤ ãģ£ãģŁ",
+      "ĠØ´ رÙĪع",
+      "Ġشر ÙĪع",
+      "æŁ Ķ",
+      "' nun",
+      "'n un",
+      "о кол",
+      "ок ол",
+      "око л",
+      "Ġc iddi",
+      "Ġcid di",
+      "Ġb ụ",
+      "Ġyap ılacak",
+      "Ġyapı lacak",
+      "Ġyapıl acak",
+      "ĠÑĩÑĥв ÑģÑĤв",
+      "ìĤ¬ ìĿĺ",
+      "à¸Ń à¸Ļà¸Ķ",
+      "à¸Ńà¸Ļ à¸Ķ",
+      "ΊΤ",
+      "Ġëĭ¤ ìĸij",
+      "ëĭ¤ ë©´",
+      "im izi",
+      "imi zi",
+      "imiz i",
+      "ä¹ Ĥ",
+      "ãģ² ãģ¨",
+      "Ġ éĿŀ",
+      "ĠéĿ ŀ",
+      "âĢĮپدÛĮ ا",
+      "ä¹ ĺ",
+      "ãĥĬ ãĥ«",
+      "ĠпÑĸдпÑĢиÑĶм ÑģÑĤва",
+      "ĠпÑĸдпÑĢиÑĶмÑģÑĤв а",
+      "๠ij",
+      "è¿ Ŀ",
+      "ĠÙħ ÙĨÙĩ",
+      "ĠÙħÙĨ Ùĩ",
+      "ÑĢ ик",
+      "ÑĢи к",
+      "а ÑĢÑĸв",
+      "аÑĢ Ñĸв",
+      "аÑĢÑĸ в",
+      "Ġ кого",
+      "Ġк ого",
+      "Ġко го",
+      "ĠÙĤ ص",
+      "Ġ æĿ¥",
+      "ĠæĿ ¥",
+      "ĠPh òng",
+      "Ġ ово",
+      "Ġо во",
+      "Ġов о",
+      "ĠпеÑĢ ева",
+      "ĠпеÑĢе ва",
+      "ĠпеÑĢев а",
+      "é£ ²",
+      "à¤Ĥ à¤Łà¤°",
+      "à¤Ĥà¤Ł र",
+      "ÙĬ را",
+      "ÙĬر ا",
+      "il diÄŁi",
+      "ildi ÄŁi",
+      "e tin",
+      "et in",
+      "eti n",
+      "Ïĩε ία",
+      "Ïĩεί α",
+      "Ġzah rani",
+      "ÙĪ جد",
+      "ÙĪج د",
+      "Ġ ç¯",
+      "Ġç ¯",
+      "าร ย",
+      "Ġза ко",
+      "Ġзак о",
+      "ĠتÙĤ س",
+      "ãĤ¹ ãĤ¿ãĥ¼",
+      "ãĤ¹ãĤ¿ ãĥ¼",
+      "æĿ °",
+      "Ġ ãĤ°",
+      "ĠãĤ °",
+      "Ġ é»Ħ",
+      "Ġé» Ħ",
+      "Ġ Ðļогда",
+      "ĠÐļ огда",
+      "ॠ«",
+      "Ġ 次",
+      "Ġæ¬ ¡",
+      "ĠвÑĭ ÑĢаж",
+      "Ġch Äĥm",
+      "лÑı ÑĶÑĤÑĮÑģÑı",
+      "лÑıÑĶ ÑĤÑĮÑģÑı",
+      "د ÙĩÙħ",
+      "دÙĩ Ùħ",
+      "Ġv rch",
+      "Ġvr ch",
+      "çº Į",
+      "п оÑĢ",
+      "по ÑĢ",
+      "Ġm aÄŁ",
+      "Ġma ÄŁ",
+      "å¾Ĵ æŃ©",
+      "po dob",
+      "pod ob",
+      "ะ à¹ģ",
+      "éģ¸ æīĭ",
+      "å¸ ¯",
+      "Ġse bou",
+      "Ġseb ou",
+      "in ize",
+      "ini ze",
+      "iniz e",
+      "ĠÐľ ак",
+      "ĠÐľÐ° к",
+      "Ġ æĻ®",
+      "ĠæĻ ®",
+      "ĠÏħÏĢ άÏģÏĩ",
+      "ĠÄIJ Ãł",
+      "ĠBr no",
+      "Ġ Å¡ÃŃ",
+      "ĠÅ¡ ÃŃ",
+      "اÙĦ ص",
+      "Ġngh iêm",
+      "Ġnghi êm",
+      "Ġon ları",
+      "Ġonlar ı",
+      "Ġu žÃŃ",
+      "Ġuž ÃŃ",
+      "èĩªåĪĨ ãģ®",
+      "ĠнаÑħод иÑĤÑģÑı",
+      "Ġj si",
+      "Ġjs i",
+      "Ġस मर",
+      "Ġसम र",
+      "ĠÏĨ Ïī",
+      "Û±Û¹ Û¸",
+      "Ġà¤ľà¤Ĺ ह",
+      "éŃ ļ",
+      "ìĿ¸ ê°Ģ",
+      "ÄIJ iá»ģu",
+      "ĠØ£ عÙĦاÙħ",
+      "Ġأع ÙĦاÙħ",
+      "à¥ĩà¤Ĥ ।Ċ",
+      "à¥ĩà¤Ĥ। Ċ",
+      "å½¢ æĪIJ",
+      "Ġ ikt",
+      "Ġi kt",
+      "Ġik t",
+      "Ġzd roj",
+      "ĠAmer ik",
+      "Ρ Îĵ",
+      "à¸ĩ ส",
+      "ĠíĴ Ģ",
+      "Ñģол ÑİÑĤ",
+      "ÙĪ ÙĬت",
+      "ÙĪÙĬ ت",
+      "Ġgörün tü",
+      "ан нÑĭÑħ",
+      "аннÑĭ Ñħ",
+      "ĠØ£ ÙĤ",
+      "Ġ миÑĢ",
+      "Ġм иÑĢ",
+      "Ġми ÑĢ",
+      "å« Į",
+      "Ġm á»iji",
+      "Ġd erin",
+      "Ġde rin",
+      "Ġder in",
+      "é ĴĪ",
+      "éĴ Ī",
+      "Ġма ÑĪи",
+      "ĠмаÑĪ и",
+      "ì¸ ¡",
+      "ĠجÙĨ ÙĪب",
+      "ĠÑģ ло",
+      "ĠÑģл о",
+      "ãĢĤ ä¸Ģ",
+      "ени ÑıÑħ",
+      "ениÑı Ñħ",
+      "ĠÑĩолов Ñĸк",
+      "Ġy ana",
+      "Ġya na",
+      "Ġyan a",
+      "Ġо кÑĤ",
+      "Ġок ÑĤ",
+      "Ġ неÑĢ",
+      "Ġн еÑĢ",
+      "Ġне ÑĢ",
+      "æĪ ¶",
+      "н ÑĮомÑĥ",
+      "нÑĮ омÑĥ",
+      "нÑĮо мÑĥ",
+      "ĠÑĸ мен",
+      "ĠÑĸм ен",
+      "ãĤı ãģŁãģĹ",
+      "ĠÎĵ ια",
+      "ĠÎĵι α",
+      "ãĢģ ç§ģ",
+      "Ġ kou",
+      "Ġk ou",
+      "Ġko u",
+      "ĠÑĨ еÑĢк",
+      "ĠÑĨеÑĢ к",
+      "lay arak",
+      "ãĢ ĩ",
+      "ا ÙĦس",
+      "اÙĦ س",
+      "Âł T",
+      "Ġд ÑĢÑĥж",
+      "ĠдÑĢÑĥ ж",
+      "ĠдÑĢ Ñĥж",
+      "Ġд воÑĢ",
+      "Ġдв оÑĢ",
+      "Ġдво ÑĢ",
+      "λ ί",
+      "ĠëĨ Ģ",
+      "Ġte plot",
+      "Ġtep lot",
+      "Ùģ ات",
+      "б Ñĸ",
+      "Ġgüven lik",
+      "Ġgüvenli k",
+      "n ÄĽn",
+      "nÄĽ n",
+      "è© ©",
+      "Ġinsan ların",
+      "Ġinsanlar ın",
+      "ĠìĦ¤ ì¹ĺ",
+      "èĵ Ŀ",
+      "a vatel",
+      "av atel",
+      "ava tel",
+      "j ev",
+      "je v",
+      "ĠÚĨ را",
+      "Ġgerek iyor",
+      "ãĥĥ ãĤ°",
+      "ĠÃĩ ok",
+      "Ġ ÙĪجÙĩ",
+      "ĠÙĪ جÙĩ",
+      "ĠÙĪج Ùĩ",
+      "Ġ Ñĥли",
+      "ĠÑĥ ли",
+      "ĠÑĥл и",
+      "Â ij",
+      "åij Ģ",
+      "ĠоÑĢгани заÑĨии",
+      "ĠоÑĢганиз аÑĨии",
+      "ĠоÑĢганиза ÑĨии",
+      "ĠÑĸÑģ нÑĥ",
+      "Ġneb ude",
+      "Ġnebu de",
+      "Ġë° ¤",
+      "ä¸Ĭ ãģĮ",
+      "Ġध न",
+      "ĠرÙĪ ابط",
+      "γγ ελ",
+      "Ġдо ÑģÑıг",
+      "ĠдоÑģ Ñıг",
+      "ĠاÙĦÙĤ دÙħ",
+      "ĠاÙĦÙĤد Ùħ",
+      "Ġзна Ñħод",
+      "ĠÄįÃŃs lo",
+      "ÅŁ k",
+      "ĠاÙĦد ÙĬÙĨ",
+      "Ġgün lük",
+      "ÙĥÙĬ ÙĬÙģ",
+      "ÎŃ Ïģα",
+      "ÎŃÏģ α",
+      "à¸ķ รว",
+      "à¸ķร ว",
+      "Ġнали Ñĩи",
+      "ا ÙħÛĮÙĨ",
+      "اÙħ ÛĮÙĨ",
+      "اÙħÛĮ ÙĨ",
+      "Ġμ ικ",
+      "Ġdönem de",
+      "à¹Ī à¸Ĺ",
+      "æĥ ij",
+      "à¥ĭà¤Ĥ ,",
+      "Ñĩ Ñı",
+      "ãģ¾ ãĤĭ",
+      "ĠاÙĦ تÙĨ",
+      "ĠاÙĦت ÙĨ",
+      "ÑĢ аг",
+      "ÑĢаР³",
+      "ÑĢа г",
+      "ëĵ¤ ê³¼",
+      "Ń Ķ",
+      "ĠÙħÙĨ Ùĩا",
+      "ĠÙħÙĨÙĩ ا",
+      "ĠTh ế",
+      "éIJ µ",
+      "Ġ ï¾Ħ",
+      "Ġï¾ Ħ",
+      "ĠاÙĦØ¥ سÙĦاÙħ",
+      "ãĤ¦ ãĤ¹",
+      "ÙĬ دÙĬ",
+      "ÙĬد ÙĬ",
+      "Ġ å¾Ĺ",
+      "Ġå¾ Ĺ",
+      "Ġза ÑĢаз",
+      "ãĤ¸ ãĥ¥",
+      "Ġت عد",
+      "Ġتع د",
+      "i ÃŃ",
+      "Ġç ocu",
+      "oz ici",
+      "Ġ ë²Ķ",
+      "Ġë² Ķ",
+      "ĠØ¢Ùħ دÙĩ",
+      "ĠØ¢Ùħد Ùĩ",
+      "ÑĦ ик",
+      "ÑĦи к",
+      "Ġпо ÑģÑĤанов",
+      "ĠпоÑģÑĤ анов",
+      "Ġkrál ov",
+      "¨ ¨",
+      "Ġì¤ij ìļĶ",
+      "ĠG Wei",
+      "ĠGW ei",
+      "Ġvý voj",
+      "Ġboy ut",
+      "Ġ nek",
+      "Ġn ek",
+      "Ġne k",
+      "ا ÙĩاÛĮ",
+      "اÙĩ اÛĮ",
+      "اÙĩا ÛĮ",
+      "Ġst ranÄĽ",
+      "Ġstran ÄĽ",
+      "Ġstra nÄĽ",
+      "и ем",
+      "ие м",
+      "Ġпо ÑĢаж",
+      "ĠпоÑĢ аж",
+      "à¥įर दर",
+      "à¥įरद र",
+      "é¡Ķ ãĤĴ",
+      "ĠY üz",
+      "Ġо знаÑĩа",
+      "Ġозна Ñĩа",
+      "à¹ģล à¸Ļà¸Ķ",
+      "Ġب ÙĩرÙĩ",
+      "ĠبÙĩ رÙĩ",
+      "ен ÑĤÑĥ",
+      "енÑĤ Ñĥ",
+      "ĠÐĿ ад",
+      "ĠÐĿа д",
+      "ĠÐŁ олÑĮ",
+      "ĠÐŁÐ¾ лÑĮ",
+      "ĠÐŁÐ¾Ð» ÑĮ",
+      "ãĥĹ ãĥª",
+      "á¿ ¶",
+      "âĢĮپدÛĮ اÛĮ",
+      "âĢĮپدÛĮا ÛĮ",
+      "ĠÙ¾ اÙĪرپÙĪÛĮÙĨت",
+      "ิà¸ģ า",
+      "Ġε νÏİ",
+      "Ġεν Ïİ",
+      "Ġس اÛĮر",
+      "éģ º",
+      "ãĢģ ä»Ĭ",
+      "ĠL ê",
+      "äºĭ æĥħ",
+      "ĠY er",
+      "ĠYe r",
+      "èħ °",
+      "ĠاÙĦر سÙħ",
+      "ĠاÙĦÙħ ÙĪÙĤع",
+      "ĠاÙĦÙħÙĪ ÙĤع",
+      "Ġh Ãłm",
+      "Ġд ÑĢев",
+      "ĠдÑĢ ев",
+      "á tel",
+      "át el",
+      "áte l",
+      "ĠвÑģ Ñij",
+      "ìĺ ¥",
+      "ĠM ec",
+      "ĠMe c",
+      "ãĤ Ľ",
+      "Ġص اد",
+      "ĠÚ¯ ردد",
+      "Ġگرد د",
+      "Ġگر دد",
+      "Ġkr ás",
+      "èĮĥ åĽ´",
+      "a larına",
+      "alar ına",
+      "aları na",
+      "aların a",
+      "èĻ ļ",
+      "ĠØ¢ ÙĪرد",
+      "ĠØ¢ÙĪر د",
+      "ç¼ ĵ",
+      "ิ à¸ŀ",
+      "Ġ ãĥĭ",
+      "Ġãĥ ĭ",
+      "Ġ æĢ§",
+      "ĠæĢ §",
+      "ĠÙħÙĨ Ø°",
+      "ç· ´",
+      "Ġ ê¶ģ",
+      "Ġê ¶ģ",
+      "в аем",
+      "ва ем",
+      "Ġζ Ïī",
+      "Ġn avr",
+      "Ġna vr",
+      "Ġnav r",
+      "Ïĥ ÏĦαÏĥη",
+      "ÏĥÏĦα Ïĥη",
+      "Ġر Ø£",
+      "Ġd opl",
+      "Ġdo pl",
+      "Ġdop l",
+      "＿ ＿＿",
+      "＿＿ ＿",
+      "çĶļ èĩ³",
+      "Äį el",
+      "Äįe l",
+      "æĦı åij³",
+      "ç¥ Ń",
+      "Ã ĺ",
+      "ÑģÑĤв еннÑĭе",
+      "ÑģÑĤвен нÑĭе",
+      "è£ ¡",
+      "Ġ ãĢī",
+      "ĠãĢ ī",
+      "ĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢ",
+      "ĠãĢĢĠ ãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "Ġ вал",
+      "Ġв ал",
+      "Ġва л",
+      "Ġ ẩm",
+      "Ġd iyor",
+      "Ġdi yor",
+      "Ġdiy or",
+      "à¸Ńà¸ĩ à¸Īาà¸ģ",
+      "ĠPh ó",
+      "ĠÐĵ е",
+      "ĠвеÑĢ еÑģ",
+      "Ġве ÑĢеÑģ",
+      "Ġk onz",
+      "Ġko nz",
+      "Ġkon z",
+      "ر ز",
+      "ĠÑģоб оÑİ",
+      "Ġεκ εί",
+      "ìĺģ ìĸ´",
+      "i ag",
+      "ia g",
+      "ĠÑģ енÑĤ",
+      "Ġn ấu",
+      "Ġja ké",
+      "Ġjak é",
+      "Ġro zh",
+      "Ġroz h",
+      "Ġб ог",
+      "Ġбо г",
+      "ÙĨ اد",
+      "ÙĨا د",
+      "ĠاÙħ ÙĪر",
+      "à¹Į à¸ģาร",
+      "à¹Įà¸ģ าร",
+      "ĠY aÅŁ",
+      "ĠYa ÅŁ",
+      "é Ī",
+      "åķ ª",
+      "Ġon ay",
+      "Ġona y",
+      "ìĹ ĩ",
+      "o mu",
+      "om u",
+      "ÑĨ Ñĸйного",
+      "ÑĨÑĸй ного",
+      "ÑĨÑĸйно го",
+      "ĠÑģ ал",
+      "ĠΣ Ïħν",
+      "ĠΣÏħ ν",
+      "Ġsav un",
+      "å¦ Ļ",
+      "à¸Īะ ม",
+      "ãĤ¹ ãĤ¯",
+      "Ġd osy",
+      "Ġdo sy",
+      "Ġdos y",
+      "ľ ĺ",
+      "ë¨ ¹",
+      "Ġmin ul",
+      "Ġmi nul",
+      "ãĢĭ Ċ",
+      "åģ ı",
+      "ĠÐļ аÑĤ",
+      "ĠÐļа ÑĤ",
+      "Ġed ilmesi",
+      "Ġedilm esi",
+      "Ġedil mesi",
+      "ÑĨÑĸ ÑĶн",
+      "ìĦ± ìĿ´",
+      "åĸ Ķ",
+      "Ġв ÑĸÑĢ",
+      "ĠвÑĸ ÑĢ",
+      "è¯ ij",
+      "ाà¤ĩ ड",
+      "ĠÙĪÙĤ تÛĮ",
+      "ĠÙĪÙĤت ÛĮ",
+      "ÄIJ á»ĥ",
+      "Ġ vyÅ¡Å¡ÃŃ",
+      "Ġvy Å¡Å¡ÃŃ",
+      "Äį ila",
+      "Äįi la",
+      "Äįil a",
+      "а дÑĥ",
+      "ад Ñĥ",
+      "çī¹ åĪ¥",
+      "ĠìĿ¸ 기",
+      "u jÃŃcÃŃch",
+      "ujÃŃ cÃŃch",
+      "ujÃŃcÃŃ ch",
+      "ĠPo dle",
+      "ĠPod le",
+      "Ġy avaÅŁ",
+      "Ļ æ±Ł",
+      "Ġka yb",
+      "Ġkay b",
+      "åĬ ª",
+      "ç´ ¹",
+      "Ġоб ÑĢабоÑĤ",
+      "ĠобÑĢа боÑĤ",
+      "Ġм аÑı",
+      "Ġма Ñı",
+      "Ġ åıĬ",
+      "Ġåı Ĭ",
+      "æİ¥ åıĹ",
+      "ÙĨ تÛĮ",
+      "ÙĨت ÛĮ",
+      "Ġ ÏĩÏİ",
+      "ĠÏĩ Ïİ",
+      "ÑĤ ÑĢо",
+      "ÑĤÑĢ о",
+      "Ġu yar",
+      "Ġuy ar",
+      "ĠعÙħÙĦ کرد",
+      "Ġо ÑĨен",
+      "ĠмеÑģÑĤ а",
+      "à¸ķ ลาà¸Ķ",
+      "à¸ķล าà¸Ķ",
+      "Ùħ ÙĤ",
+      "ild ren",
+      "Ġзави ÑģиÑĤ",
+      "Âł ĠÂł",
+      "ÂłĠ Âł",
+      "Ġm ožná",
+      "Ġmož ná",
+      "æĺŃ åĴĮ",
+      "ır ken",
+      "к ин",
+      "ки н",
+      "åĿ Ĥ",
+      "ÏĦ Ïĥι",
+      "ÏĦÏĥ ι",
+      "ĠÑĩ Ñĥд",
+      "Ðļ он",
+      "is lav",
+      "isl av",
+      "ĠÐļ ÑĢаÑģ",
+      "ĠÐļÑĢа Ñģ",
+      "N ej",
+      "Ne j",
+      "Âł b",
+      "r of",
+      "ro f",
+      "Ġ ileri",
+      "Ġi leri",
+      "Ġil eri",
+      "Ġile ri",
+      "Ġiler i",
+      "ĠÐŀ ÑĢ",
+      "ĠCh á»ī",
+      "Ġn üfus",
+      "ĠÑĸ нÑĤ",
+      "ĠÑĸн ÑĤ",
+      "! âĢľ",
+      "Ġन र",
+      "主 ä¹ī",
+      "ĠتÙĨ ظ",
+      "ův odu",
+      "ůvod u",
+      "ĠгоÑĢ ода",
+      "ĠгоÑĢод а",
+      "Ġk ural",
+      "Ġkur al",
+      "Ġku ral",
+      "Ġj edin",
+      "Ġje din",
+      "Ġjed in",
+      "ÑĢ аÑĤег",
+      "ÑĢаÑĤ ег",
+      "åĢ º",
+      "Ġzpůsob em",
+      "ìĿ¸ ìĿĺ",
+      "Ġ ÙĨب",
+      "ĠÙĨ ب",
+      "ĠN ga",
+      "ĠNg a",
+      "ĠÐĿ ай",
+      "ĠÐĿа й",
+      "ĠاÙģ زار",
+      "ĠاÙģز ار",
+      "нÑĥ вÑģÑı",
+      "нÑĥв ÑģÑı",
+      "Ġдв оÑħ",
+      "Ġдво Ñħ",
+      "Ġro zp",
+      "Ġroz p",
+      "ε ίοÏħ",
+      "εί οÏħ",
+      "είο Ïħ",
+      "Ġο ικο",
+      "Ġοι κο",
+      "ĠG eç",
+      "ĠGe ç",
+      "Â Ĺ",
+      "Ġch iếm",
+      "Ġchiế m",
+      "ĠÑĢаÑģпÑĢоÑģÑĤ ÑĢан",
+      "Ġh Æ°Æ¡ng",
+      "èĩª åĭķ",
+      "ĠÙħÙĪ ÙģÙĤ",
+      "æĮ ¥",
+      "ï¼ģ âĢĿĊĊ",
+      "ï¼ģâĢĿ ĊĊ",
+      "Ïģο ÏĨοÏģ",
+      "èı Į",
+      "ãĥ´ ãĤ¡",
+      "欧 ç¾İ",
+      "ĠÑĤеп ло",
+      "ãģĤ ãģĤ",
+      "ãĤ¦ ãĥ³",
+      "ĠÅŁ eyi",
+      "ĠÅŁey i",
+      "Ġs üt",
+      "Ġsü t",
+      "ãģ¹ ãģ¦",
+      "ãĥ³ ãĥij",
+      "ãĥ³ãĥ ij",
+      "μÎŃν Ïīν",
+      "Ġgenel likle",
+      "Ġدر ÙħاÙĨ",
+      "Ù ª",
+      "Ġak ıl",
+      "ĠÐľ Ñĭ",
+      "Ġet miÅŁ",
+      "Ġetm iÅŁ",
+      "Å¡ la",
+      "Ġвозмож ноÑģÑĤÑĮ",
+      "Ġвозможно ÑģÑĤÑĮ",
+      "Ġgün cel",
+      "Ġná ro",
+      "å½¢ å¼ı",
+      "Ġα ÏĢοÏĦε",
+      "ĠαÏĢο ÏĦε",
+      "ĠмÑĸÑģ ÑĨÑı",
+      "Ġ رض",
+      "Ġر ض",
+      "ä¸į çŁ¥éģĵ",
+      "ä¸įçŁ¥ éģĵ",
+      "r ava",
+      "ra va",
+      "rav a",
+      "ĠÎļ ά",
+      "ิà¸Ļ à¸Ĺร",
+      "ิà¸Ļà¸Ĺ ร",
+      "Ġли ÑģÑĤÑĮ",
+      "ĠлиÑģÑĤ ÑĮ",
+      "èĨ ľ",
+      "ãģ«ãģª ãĤĬ",
+      "Ġ æĿ¾",
+      "ĠæĿ ¾",
+      "å® ı",
+      "Ġм иÑģ",
+      "Ġми Ñģ",
+      "át nÃŃ",
+      "Ġyıl lık",
+      "ĠMerk ezi",
+      "ĠMerkez i",
+      "Ġiç eri",
+      "Ġiçer i",
+      "ÅĻ ÃŃž",
+      "ÅĻÃŃ Å¾",
+      "Ġp ÅĻe",
+      "ĠpÅĻ e",
+      "Ïĩ Ïģι",
+      "Ġ åįĥ",
+      "Ġåį ĥ",
+      "Ġs rp",
+      "Ġsr p",
+      "à¹Ĥ à¸Ĺร",
+      "à¹Ĥà¸Ĺ ร",
+      "ĠK rál",
+      "ĠKr ál",
+      ". Σ",
+      "á val",
+      "áv al",
+      "l éd",
+      "lé d",
+      "Ġ λα",
+      "Ġλ α",
+      "ี ยวà¸ģ",
+      "ีย วà¸ģ",
+      "ียว à¸ģ",
+      "ãģı ãģª",
+      "ĠvÅ¡ ichni",
+      "ĠпÑĢед оÑģÑĤав",
+      "ì ¿",
+      "Ġ 구ê¸ĢìĥģìľĦ",
+      "Ġ구 ê¸ĢìĥģìľĦ",
+      "Ġ구ê¸Ģ ìĥģìľĦ",
+      "Ġà¤īप लब",
+      "в оз",
+      "во з",
+      "ĠëħĦ ëıĦë³Ħ",
+      "､ _",
+      "à¸ļ รร",
+      "à¸ļร ร",
+      "ĠÑģв ÑĸÑĤÑĥ",
+      "ĠÑģвÑĸÑĤ Ñĥ",
+      "ĠÑĢÑĥб лей",
+      "len me",
+      "lÃŃ Äį",
+      "ÏĦ ει",
+      "ÏĦε ι",
+      "Ġ åı¤",
+      "Ġåı ¤",
+      "ĠObr ázky",
+      "Ġìĺģ íĸ¥",
+      "ĠгÑĢаж дан",
+      "í Ĥ¹",
+      "íĤ ¹",
+      "Ġsahip tir",
+      "Ġп оÑĩаÑĤкÑĥ",
+      "ĠпоÑĩ аÑĤкÑĥ",
+      "ĠØ£ÙĬ ض",
+      "ĠÑĤоÑĢ гов",
+      "Ġgel ecek",
+      "Ġgele cek",
+      "Ġ 문íĻĶ",
+      "Ġ문 íĻĶ",
+      "ik leri",
+      "ikler i",
+      "ĠнеобÑħÑĸд но",
+      "Ġ äºij",
+      "o vol",
+      "ov ol",
+      "ovo l",
+      "Ġद ल",
+      "ĠìķĬ ê³ł",
+      "Ġм г",
+      "Ġz jist",
+      "an lı",
+      "ั à¸ĩà¸Ļ",
+      "ัà¸ĩ à¸Ļ",
+      "ÑĢа Ñħов",
+      "ÑĢаÑħ ов",
+      "ι νη",
+      "ιν η",
+      "Ġп лоÑĤ",
+      "Ġпл оÑĤ",
+      "Ġпло ÑĤ",
+      "Ġn itel",
+      "Ġni tel",
+      "Ġnit el",
+      "ìĬ¤ íģ¬",
+      "ĠSon ra",
+      "ĠÑģ боÑĢ",
+      "ĠÑģб оÑĢ",
+      "Ġ ÏĥοÏħ",
+      "ĠÏĥ οÏħ",
+      "Ġol mam",
+      "Ġolm am",
+      "Ġolma m",
+      "Ġan aliz",
+      "Ġanal iz",
+      "à¹Į ว",
+      "Ġm ỹ",
+      "Ġmá» ¹",
+      "ce ae",
+      "cea e",
+      "Ġ ден",
+      "Ġд ен",
+      "Ġде н",
+      "веÑĢ жд",
+      "веÑĢж д",
+      "Ạ¢",
+      "ãģĵ ãģ¨ãĤĤ",
+      "ãģĵãģ¨ ãĤĤ",
+      "ìĤ¬ íķŃ",
+      "è¨Ģ ãģ£ãģŁ",
+      "Ġ ì¹´ì§Ģëħ¸",
+      "Ġì¹´ ì§Ģëħ¸",
+      "ÑĢ иÑĤи",
+      "ÑĢи ÑĤи",
+      "ÑĢиÑĤ и",
+      "Ġch ce",
+      "Ġçev ir",
+      "ÛĮ ÛĮÙĨ",
+      "ä¼ļ è®®",
+      "ัม à¸ŀ",
+      "Ġ åĦ",
+      "Ġå Ħ",
+      "ĠÙ¾ در",
+      "å¼ı ä¼ļ社",
+      "Ġ ÑĨен",
+      "ĠÑĨ ен",
+      "ĠÑĨе н",
+      "ิ à¸ĸ",
+      "Ġji nak",
+      "Ġjin ak",
+      "Ġб лÑİ",
+      "Ġбл Ñİ",
+      "и ÑĨин",
+      "иÑĨ ин",
+      "ÙĴ Ùĩ",
+      "Ú© ÙĪر",
+      "Ú©ÙĪ ر",
+      "Ġ ìķħ",
+      "Ġìķ ħ",
+      "e ksiyon",
+      "ek siyon",
+      "eks iyon",
+      "ĠÑģ веÑĢ",
+      "ĠÑģв еÑĢ",
+      "ĠобÑĢаз ованиÑı",
+      "Ġ ãĥĻ",
+      "Ġãĥ Ļ",
+      "æľī 人",
+      "Ġbilg ileri",
+      "Ġbilgi leri",
+      "Ġbilgiler i",
+      "Ġh ầu",
+      "еÑĢ Ñĸг",
+      "еÑĢÑĸ г",
+      "Ġva Å¡e",
+      "Ġn edir",
+      "Ġne dir",
+      "Ġned ir",
+      "ä¸į å¾Ĺ",
+      "ĠbaÅŁar ılı",
+      "ĠbaÅŁarı lı",
+      "Ġkay bet",
+      "Ġkayb et",
+      "å© ·",
+      "ĠÐĿ ав",
+      "ĠÐĿа в",
+      "Ġê´Ģ íķľ",
+      "Ñģ ÑĤÑİ",
+      "ÑģÑĤ Ñİ",
+      "å®ŀ éĻħ",
+      "k lady",
+      "kl ady",
+      "klad y",
+      "kla dy",
+      "д аÑĤÑĮ",
+      "да ÑĤÑĮ",
+      "даÑĤ ÑĮ",
+      "r aç",
+      "ra ç",
+      "Ġkuv vet",
+      "à¸ģาร à¸Ĺ",
+      "å ļ",
+      "Ġ ÑĢеп",
+      "ĠÑĢ еп",
+      "ĠÑĢе п",
+      "Ġ à¸Ŀ",
+      "ĠภĿ",
+      "ĠDi ÄŁer",
+      "íĶĦ íĬ¸",
+      "Ġnej vÄĽtÅ¡ÃŃ",
+      "Ġìłģ ìļ©",
+      "Ġonemoc nÄĽnÃŃ",
+      "а ка",
+      "ак а",
+      "Ðł аз",
+      "ĠÙģ Ø¥ÙĨ",
+      "ãĤµ ãĤ¤ãĤº",
+      "ãĤµãĤ¤ ãĤº",
+      "Ġv lád",
+      "Ġvl ád",
+      "Ġvlá d",
+      "Ġr ady",
+      "Ġrad y",
+      "Ġra dy",
+      "ãĢģ ãģĵãĤĮ",
+      "ÑģÑĤв ие",
+      "lı ģa",
+      "lıģ a",
+      "å ŃĶ",
+      "åŃ Ķ",
+      "Ġ áo",
+      "Ġá o",
+      "à¸Ń าà¸ģาศ",
+      "Ġ à¤ıम",
+      "Ġà¤ı म",
+      "δ αÏĤ",
+      "δα ÏĤ",
+      "Ġа пÑĢ",
+      "Ġап ÑĢ",
+      "æİ Ľ",
+      "Ġ ç«ĭ",
+      "Ġç« ĭ",
+      "âĸı âĸı",
+      "ĠС м",
+      "Ġne má",
+      "Ġnem á",
+      "Ġ è¢",
+      "Ġè ¢",
+      "νο μα",
+      "νομ α",
+      "ĠÙģ رÙĪد",
+      "ĠÙģر ÙĪد",
+      "ĠÙģرÙĪ د",
+      "Ġül ke",
+      "Ġülk e",
+      "Ġ æĺŁ",
+      "Ġæĺ Ł",
+      "ั à¸Ļà¸ģ",
+      "ัà¸Ļ à¸ģ",
+      "ãģķãĤĵ ãģ®",
+      "eÅŁ il",
+      "ÄŁ iz",
+      "ÄŁi z",
+      "ĠÐij оÑĢ",
+      "Ġt ầm",
+      "ει ÏĦοÏħÏģγ",
+      "Ġ γÏģα",
+      "Ġγ Ïģα",
+      "à¥įष à¤ķ",
+      "Ġv ẻ",
+      "Ġkend isine",
+      "Ġkendisi ne",
+      "ĠìķĮ ê³ł",
+      "Ġêµ Ńìłľ",
+      "ĠêµŃ ìłľ",
+      "ĠnÄĽk do",
+      "Ġ ÛĮÙĩ",
+      "ĠÛĮ Ùĩ",
+      "Ġکار بر",
+      "ãĥĻ ãĥ«",
+      "ï» ´",
+      "Ġt uyên",
+      "Ġtuy ên",
+      "Ġç at",
+      "Ġça t",
+      "âĢIJ âĢIJ",
+      "Â ı",
+      "Ġ ìĤ¬ìĹħ",
+      "ĠìĤ¬ ìĹħ",
+      "é ĨĴ",
+      "éĨ Ĵ",
+      "æıIJ é«ĺ",
+      "æ· ¡",
+      "Ġ ÄŁ",
+      "ĠÄ Ł",
+      "èĸ ¦",
+      "ãĢĭ ï¼Ī",
+      "æ¡ ĥ",
+      "ìĹ Ħ",
+      "Ġ æŀĹ",
+      "Ġæŀ Ĺ",
+      "Ä Ĥ",
+      "ĠÄĮ ech",
+      "α ιο",
+      "αι ο",
+      "ĠØ· رÙĬÙĤ",
+      "Ġطر ÙĬÙĤ",
+      "Ġзав еÑĢÑĪ",
+      "ĠзавеÑĢ ÑĪ",
+      "تÙĪ بر",
+      "ĠØŃ Ø¬",
+      "ĠÎŃÏĩ οÏħν",
+      "¿ ÃĤ",
+      "Ġd ÄĽtÃŃ",
+      "ĠdÄĽ tÃŃ",
+      "ĠdÄĽt ÃŃ",
+      "Ġiç ine",
+      "Ġiçin e",
+      "Ġiçi ne",
+      "ĠCh úa",
+      "ан нÑĭй",
+      "аннÑĭ й",
+      "ĠÙĪÛĮ Úĺ",
+      "Ġna stav",
+      "Ġnast av",
+      "ıs ına",
+      "ısı na",
+      "ĠÑĹ Ð¼",
+      "п он",
+      "по н",
+      "е нÑı",
+      "ен Ñı",
+      "ĠÙĪ ظ",
+      "Ú¯ ÙĦ",
+      "หล วà¸ĩ",
+      "Ġza stav",
+      "Ġzast av",
+      "а кон",
+      "ак он",
+      "³³³³³³³³³³³³³³³³ ³³³³³³³³³³³³³³³³",
+      "ĠK ır",
+      "ĠKı r",
+      "çµ ¶",
+      "ĠоÑĢганÑĸ заÑĨÑĸÑĹ",
+      "ĠоÑĢганÑĸз аÑĨÑĸÑĹ",
+      "ĠоÑĢганÑĸза ÑĨÑĸÑĹ",
+      "ãģŁ ãĤĬ",
+      "Ø° ÙĬ",
+      "Ġर à¤ķ",
+      "amp iyon",
+      "Ġ æ¸ħ",
+      "Ġæ¸ ħ",
+      "çľ¼ çĿĽ",
+      "Ġìķ ĬìĿĢ",
+      "ĠìķĬ ìĿĢ",
+      "é¹ ¿",
+      "Ġ å¿ĥ",
+      "Ġå¿ ĥ",
+      "ĠпÑĢек ÑĢаÑģ",
+      "ĠÑģ егоднÑı",
+      "Ġ सल",
+      "Ġस ल",
+      "ĠÏħ ÏĢÏĮ",
+      "ĠÏħÏĢ ÏĮ",
+      "ĠÐķ го",
+      "ĠÐĽ и",
+      "ãĤ¨ ãĥ«",
+      "Ġл ÑİÑĤ",
+      "ĠлÑİ ÑĤ",
+      "é¥ °",
+      "Ġvz dál",
+      "¯ ÃĤ",
+      "Ġна Ñıв",
+      "Ġتش Ú©ÛĮÙĦ",
+      "Ġس ÙĪÛĮ",
+      "ĠسÙĪ ÛĮ",
+      "Ġt ái",
+      "Ġtá i",
+      "Ġk apı",
+      "Ġkap ı",
+      "ĠsvÄĽt ÄĽ",
+      "ĠsvÄĽ tÄĽ",
+      "δ ÏĮν",
+      "δÏĮ ν",
+      "æ¼ ¢",
+      "ì į¨",
+      "ĠbaÅŁv ur",
+      "ÑĢ ина",
+      "ÑĢи на",
+      "ÑĢин а",
+      "Ġk elim",
+      "Ġke lim",
+      "Ġkel im",
+      "аÑĤ ок",
+      "аÑĤо к",
+      "Ġκά θε",
+      "ĠYük sek",
+      "à¹ĩà¸Ļ à¸ľ",
+      "éł Ĥ",
+      "åIJĮ æĻĤ",
+      "ÅŁ tır",
+      "ÅŁt ır",
+      "ว à¸ĩศ",
+      "วà¸ĩ ศ",
+      "o ty",
+      "ot y",
+      "Ġ ارد",
+      "Ġا رد",
+      "Ġار د",
+      "ĠìŀIJìĭł ìĿĺ",
+      "ĠÑıн ва",
+      "üyor du",
+      "æĿ ¨",
+      "ĠâĢĵ Ċ",
+      "ï¼Į å®ĥ",
+      "е йн",
+      "ей н",
+      "ĠпеÑĢ еÑĤ",
+      "ĠпеÑĢе ÑĤ",
+      "ĠdeÄŁiÅŁik lik",
+      "ĠогÑĢа ниÑĩ",
+      "ìĦľ ìļ¸",
+      "Ġgel iyor",
+      "ĠÙ¾ Ø°ÛĮر",
+      "åĵ ²",
+      "ey in",
+      "eyi n",
+      "Ġëı Ī",
+      "Ġun iverz",
+      "Ġh ned",
+      "Ġhn ed",
+      "Ġt áºŃn",
+      "vo ÅĻÃŃ",
+      "voÅĻ ÃŃ",
+      "Ġn iên",
+      "Ġni ên",
+      "dÄĽ podob",
+      "ìĤ¬ íļĮ",
+      "ãģĮ ãģĤãĤĬ",
+      "ĠÑģ ÑĸÑĩ",
+      "' '\"",
+      "'' \"",
+      "Ġtop lantı",
+      "ĠÑģ ÑĩеÑĤ",
+      "ĠÑģÑĩ еÑĤ",
+      "åĩĨ å¤ĩ",
+      "ан ÑĸÑı",
+      "анÑĸ Ñı",
+      "Ġ zel",
+      "Ġz el",
+      "Ġze l",
+      "v ala",
+      "val a",
+      "va la",
+      "Ġа пп",
+      "Ġап п",
+      "ĠاÙĦÙħ ÙĦÙĥ",
+      "ĠاÙĦÙħÙĦ Ùĥ",
+      "Ġho ÅŁ",
+      "ĠÐĵ ен",
+      "ĠÐĵе н",
+      "ÑĤ аб",
+      "ÑĤа б",
+      "ĠÄĮesk o",
+      "ĠÄĮes ko",
+      "Ġмай же",
+      "ĠmÄĽ sto",
+      "ĠmÄĽst o",
+      "yo nel",
+      "yon el",
+      "거 리",
+      "Ġìĺ¨ ëĿ¼ìĿ¸",
+      "ç´ ¯",
+      "Ġde rec",
+      "Ġder ec",
+      "Ġdere c",
+      "Ġок ÑĢÑĥж",
+      "Ġy abancı",
+      "Ġ íĦ°",
+      "ĠíĦ °",
+      "Ġ èµĦ",
+      "Ġèµ Ħ",
+      "ÎĻÎļ ÎĹ",
+      "Ġп Ñĭ",
+      "Ġv ÄĽn",
+      "ĠvÄĽ n",
+      "и нки",
+      "ин ки",
+      "ụ p",
+      "æľº 械",
+      "ĠìķĮ 볤",
+      "ëħ ķ",
+      "Ġ λÏĮγ",
+      "Ġλ ÏĮγ",
+      "e yn",
+      "ey n",
+      "Ġ ëIJĺìĹĪëĭ¤",
+      "ĠëIJĺ ìĹĪëĭ¤",
+      "ĠëIJĺìĹĪ ëĭ¤",
+      "æ± ¡",
+      "Ġve dle",
+      "Ġved le",
+      "ĠÙĥ تب",
+      "ë§ ¨",
+      "ĠÙħÙĤ اÙĪ",
+      "å¹´ ãģ«",
+      "ाà¤ĩ à¤ķ",
+      "ĠÑģÑĤ оÑģ",
+      "ĠÑģÑĤо Ñģ",
+      "ĠÏĥ ÏĦοÏħÏĤ",
+      "м еÑĤÑĮ",
+      "ме ÑĤÑĮ",
+      "меÑĤ ÑĮ",
+      "Ġes as",
+      "Ġesa s",
+      "ëIJĺ ê³ł",
+      "ĠkvÄĽt na",
+      "Ġ éľ",
+      "Ġé ľ",
+      "d ük",
+      "dü k",
+      "åŁ ·",
+      "è ªĮ",
+      "èª Į",
+      "Ġm luv",
+      "Ġml uv",
+      "ĠпÑĢи нÑı",
+      "ĠпÑĢин Ñı",
+      "Ġpo té",
+      "Ġpot é",
+      "ĠÚ© ÙĨÙħ",
+      "ĠÚ©ÙĨ Ùħ",
+      "ĠпÑĢед лож",
+      "ĠÐľÐ¾Ñģк ва",
+      "ï¼Į å¦Ĥ",
+      "Ġsv ém",
+      "Ġsvé m",
+      "Ġا ÙħÙĨ",
+      "ĠاÙħ ÙĨ",
+      "ส าย",
+      "ĠÑĥм енÑĮ",
+      "Ġ ãģĵãģ®",
+      "åī Ĥ",
+      "ĠÑģ еÑĢÑĮ",
+      "ĠÑģеÑĢ ÑĮ",
+      "Ġm á»ĩ",
+      "Ġmá» ĩ",
+      "Ġ ä¹Ŀ",
+      "Ġä¹ Ŀ",
+      "Ġза кÑĸн",
+      "Ġзак Ñĸн",
+      "Ġв елиÑĩ",
+      "Ġвели Ñĩ",
+      "Ġвел иÑĩ",
+      "Ġве лиÑĩ",
+      "Ġкон ÑĤÑĢа",
+      "ĠконÑĤ ÑĢа",
+      "ĠконÑĤÑĢ а",
+      "ĠS osyal",
+      "Ġy ukarı",
+      "Ġد ÙĪب",
+      "ĠدÙĪ ب",
+      "ä¾ §",
+      "Ġза мен",
+      "Ġзам ен",
+      "ï» ®",
+      "Ġso bÄĽ",
+      "Ġsob ÄĽ",
+      "ĠТак же",
+      "Ð İ",
+      "ε δ",
+      "Ùħ ارÛĮ",
+      "Ùħا رÛĮ",
+      "Ùħار ÛĮ",
+      "ξ ι",
+      "ì¹ Ń",
+      "Ġп лаÑģÑĤи",
+      "Ġпл аÑģÑĤи",
+      "Ġпла ÑģÑĤи",
+      "Ïĥ οÏħν",
+      "Ïĥο Ïħν",
+      "ÏĥοÏħ ν",
+      "èľĺèĽĽ è¯į",
+      "ÙĪ ÛĮزÛĮ",
+      "ÙĪÛĮ زÛĮ",
+      "Ġnap ÅĻ",
+      "ĠÑĤип а",
+      "ĠÑĤи па",
+      "à¥Ĥ à¤Ľ",
+      "ĠÅŁ ah",
+      "л ÑıÑĤи",
+      "лÑı ÑĤи",
+      "ب ÛĮر",
+      "بÛĮ ر",
+      "ระ ยะ",
+      "ĠболÑĮ ÑĪин",
+      "ĠболÑĮÑĪ ин",
+      "ÏĦη ÏĦα",
+      "Ġíıī ê°Ģ",
+      "Ġpro jev",
+      "Ġproj ev",
+      "Ġproje v",
+      "ò i",
+      "Ġк нÑı",
+      "ÏĨ εÏģ",
+      "е ÑĢÑĥ",
+      "еÑĢ Ñĥ",
+      "Ñį н",
+      "ĠعÙħ ÙĦÛĮ",
+      "ĠعÙħÙĦ ÛĮ",
+      "à¤ł न",
+      "ãĥ³ ãĤ¯",
+      "ĠìķĦ ëŀĺ",
+      "Î Ī",
+      "Ġب است",
+      "Ġبا ست",
+      "Ġ تÙĥ",
+      "Ġت Ùĥ",
+      "a ÄįnÃŃ",
+      "aÄį nÃŃ",
+      "ĠлÑĸ кÑĥваннÑı",
+      "ĠлÑĸк ÑĥваннÑı",
+      "à¸Ħ à¹Ĥà¸Ļ",
+      "Ġ èĥ½",
+      "Ġè ĥ½",
+      "Ġèĥ ½",
+      "θ λη",
+      "len miÅŁ",
+      "Ġl á»Ļ",
+      "Ġlá» Ļ",
+      "Ġsi lah",
+      "Ġsil ah",
+      "ĠA ustr",
+      "ĠAust r",
+      "ĠAus tr",
+      "ĠAu str",
+      "ØŃ ÙĤ",
+      ".*** .***",
+      "ì ©",
+      "Ġg Ãł",
+      "Ġباز بÛĮÙĨÛĮ",
+      "ĠÄij Ãłn",
+      "ÃŃ ky",
+      "ÃŃk y",
+      "ĠÎķ ν",
+      "ض Ùħ",
+      "å§ ĵ",
+      "Ġ ÙĨÙĪÛĮس",
+      "ĠÙĨ ÙĪÛĮس",
+      "ĠÙĨÙĪ ÛĮس",
+      "Ġskup iny",
+      "Ġس ÛĮد",
+      "ĠسÛĮ د",
+      "Ġal dıģı",
+      "Ġald ıģı",
+      "Ġaldı ģı",
+      "m eli",
+      "me li",
+      "mel i",
+      "в иж",
+      "ви ж",
+      "ì¹ĺ ëĬĶ",
+      "ов аÑħ",
+      "ова Ñħ",
+      "Ġ æ©",
+      "Ġæ ©",
+      "Ø´ÙĨ اسÛĮ",
+      "Ø´ÙĨاس ÛĮ",
+      "Ġn imi",
+      "Ġni mi",
+      "Ġnim i",
+      "ĠÐĵ ÑĢи",
+      "íĹ Į",
+      "Ġк в",
+      "éŁ ĵ",
+      "Ġ íĽĦ기",
+      "ĠíĽĦ 기",
+      "Ġ stÅĻÃŃ",
+      "Ġst ÅĻÃŃ",
+      "ĠstÅĻ ÃŃ",
+      "ĠкÑĸлÑĮ кÑĸÑģÑĤÑĮ",
+      "ĠBakan lıģı",
+      "ĠменÑĮ ÑĪе",
+      "ا ÙĪÛĮ",
+      "اÙĪ ÛĮ",
+      "Ġار ÙĪÙ¾",
+      "Ġ èī²",
+      "Ġèī ²",
+      "ĠÚ©ÙĪÚĨ Ú©",
+      "ĠA ynı",
+      "Ġ äºĨ",
+      "Ġس Ùģر",
+      "ĠسÙģ ر",
+      "ĠÑĤе аÑĤ",
+      "Ġ vÄĽd",
+      "ĠvÄĽ d",
+      "а ÑĢов",
+      "аÑĢ ов",
+      "Ġоб меж",
+      "ĠìķĬ ìķĺ",
+      "追 åĬł",
+      "éł Ī",
+      "dÄĽ lenÃŃ",
+      "dÄĽl enÃŃ",
+      "dÄĽlen ÃŃ",
+      "Ġk ims",
+      "Ġki ms",
+      "Ġkim s",
+      "Ġ èı²",
+      "Ġèı ²",
+      "Ġг ÑĢÑĥн",
+      "ĠгÑĢÑĥ н",
+      "ĠгÑĢ Ñĥн",
+      "ĠØ¢ ÙĦÙħاÙĨ",
+      "ĠØ¢ÙĦ ÙħاÙĨ",
+      "Ġав г",
+      "ĠÑī оÑģÑĮ",
+      "ĠÑīо ÑģÑĮ",
+      "Ġ å¾·",
+      "Ġå¾ ·",
+      "ĠÐĿа ÑĨÑĸоналÑĮ",
+      "æĪIJ ç«ĭ",
+      "ูà¸Ļ ย",
+      "ãĥ¼ ãĥ«ãĥī",
+      "ãĥ¼ãĥ« ãĥī",
+      "éĽ ²",
+      "ĠT á»ķ",
+      "cı lık",
+      "ĠAlma nya",
+      "ĠAlman ya",
+      "Ġov Å¡em",
+      "Â ĭ",
+      "ĠÏĩÏģη ÏĥιμοÏĢοι",
+      "Ġörg üt",
+      "िस स",
+      "èĹ Ŀ",
+      "ĠGi ải",
+      "Ġsv ob",
+      "Ġsvo b",
+      "Ġrůzn ých",
+      "Ġrůz ných",
+      "Ġsmlou vy",
+      "ÑĢ еÑģÑģ",
+      "ÑĢеÑģ Ñģ",
+      "ี à¹Ģà¸Ķ",
+      "ĠاÙħ رÙĪز",
+      "ĠاÙħر ÙĪز",
+      "ãĤ ħ",
+      "åĿ ¦",
+      "à¹ī à¸Ħ",
+      "Ġ каж",
+      "Ġк аж",
+      "Ġка ж",
+      "å¼ Ĺ",
+      "Ñĩ ноÑĹ",
+      "Ñĩно ÑĹ",
+      "åľ Ī",
+      "ĠØ¢ ÙĩÙĨÚ¯",
+      "ëª °",
+      "Ġ æº",
+      "Ġæ º",
+      "Ġ èĦ",
+      "Ġè Ħ",
+      "ä¸Ģ æŃ¥",
+      "оÑĩ ка",
+      "Ġpro stor",
+      "Ġpros tor",
+      "Ġprost or",
+      "Ġng ắn",
+      "Ġ ç·",
+      "Ġç ·",
+      "н аÑĢ",
+      "на ÑĢ",
+      "Ġà¤ľ व",
+      "ĠнаÑĩ алÑĮ",
+      "Ġне дел",
+      "Ġнед ел",
+      "ĠÑģиÑģÑĤем Ñĥ",
+      "ج ÙĬ",
+      "اد ات",
+      "ادا ت",
+      "Ġ æ¢",
+      "Ġæ ¢",
+      "ĠجاÙħ عة",
+      "ĠجاÙħع Ø©",
+      "Ġ ä»İ",
+      "Ġà¤ħ फ",
+      "èĸ Ħ",
+      "Ġب اÙĤ",
+      "Ġبا ÙĤ",
+      "ب ÙĬع",
+      "بÙĬ ع",
+      "ãģķ ãĤĮãģ¦",
+      "ãģķãĤĮ ãģ¦",
+      "ĠÃĩ alÄ±ÅŁ",
+      "Ø®ÙĪ است",
+      "ãĥĥ ãĤ·ãĥ¥",
+      "ĠØŃ Ø³ÛĮÙĨ",
+      "ĠØŃس ÛĮÙĨ",
+      "Ġоб наÑĢÑĥж",
+      "в Ñĸдом",
+      "вÑĸ дом",
+      "вÑĸд ом",
+      "Ġh ôm",
+      "л анд",
+      "ла нд",
+      "лан д",
+      "Ġव à¤ľà¤¹",
+      "س ÙĬÙĨ",
+      "سÙĬ ÙĨ",
+      "æł ı",
+      "Ġna vÃŃc",
+      "Ġnav ÃŃc",
+      "ãĤµ ãĤ¤ãĥĪ",
+      "ãĤµãĤ¤ ãĥĪ",
+      "ĠÑı комÑĥ",
+      "ĠÑıк омÑĥ",
+      "Ġí Ľ",
+      "ĠY ani",
+      "ĠYan i",
+      "ĠYa ni",
+      "ãĤĵ ãģ§ãģĻ",
+      "ãĤĵãģ§ ãģĻ",
+      "Ġг ÑĢÑĥп",
+      "ĠгÑĢÑĥ п",
+      "ĠгÑĢ Ñĥп",
+      "Äį ný",
+      "ÑĨ ик",
+      "ÑĨи к",
+      "ÙĪ ÙĬر",
+      "ÙĪÙĬ ر",
+      "Ġ Xã",
+      "ĠX ã",
+      "Ġf yz",
+      "Ġfy z",
+      "Ġ ï½ī",
+      "Ġï½ ī",
+      "âĢĮ ترÛĮÙĨ",
+      "âĢĮتر ÛĮÙĨ",
+      "à¤Ł à¤ķ",
+      "ÑĦоÑĢм и",
+      "ÑĦоÑĢ ми",
+      "ĠO yun",
+      "ĠOy un",
+      "åł´ æīĢ",
+      "ØŃ Ø«",
+      "ĠìķĮ ìķĦ",
+      "ÑĢав илÑĮ",
+      "ÑĢави лÑĮ",
+      "ï¼Į âĢĿ",
+      "b oru",
+      "bo ru",
+      "bor u",
+      "ĠK ullan",
+      "ĠKul lan",
+      "ĠKay nak",
+      "Ġê° ĸ",
+      "ç´ Ķ",
+      "ï¼Į æ¯ı",
+      "ÎĹ Î¡",
+      "Ġp ůl",
+      "Ġpů l",
+      "Ġг оÑģÑĤ",
+      "ر ÙĪÙħ",
+      "رÙĪ Ùħ",
+      "ï¼Į åį³",
+      "Û² Û³",
+      "ĠÙĨØ® ست",
+      "ĠÚ© سب",
+      "Ġ à¹Ģà¸ļ",
+      "Ġà¹Ģ à¸ļ",
+      "Ġà¹Ģภļ",
+      "Ġy azar",
+      "Ġya zar",
+      "Ġyaz ar",
+      "j ekt",
+      "je kt",
+      "à¹Ĥล ย",
+      "Ġдоб ÑĢе",
+      "Ġپزش Ú©ÛĮ",
+      "ĠتÙĩ ÛĮÙĩ",
+      "ç¾İ åľĭ",
+      "но ÑģÑıÑĤ",
+      "ноÑģ ÑıÑĤ",
+      "ноÑģÑı ÑĤ",
+      "ëłĪ ìĬ¤",
+      "åĹ ¯",
+      "Ġr Ãłng",
+      "ĠÎķ ξ",
+      "а ÑĤаÑĢ",
+      "аÑĤ аÑĢ",
+      "аÑĤа ÑĢ",
+      "k ova",
+      "ko va",
+      "kov a",
+      "ĠÅŁey ler",
+      "خ اص",
+      "ĠìķĪ ìłĦ",
+      "Ñī ей",
+      "Ñīе й",
+      "Ġë° Ŀ",
+      "âĢĮتÙĪاÙĨ د",
+      "ãģĪ ãģ°",
+      "Ġv ữ",
+      "Ġvá» ¯",
+      "ĠÑģ ама",
+      "ĠÑģам а",
+      "ĠобоÑĢ Ñĥд",
+      "Ġобо ÑĢÑĥд",
+      "âĢĮ باشد",
+      "à¹Į à¸Ń",
+      "Ġdet ay",
+      "æĤ ²",
+      "Â Ī",
+      "ãĤ¦ ãĤ£",
+      "ĠпÑĢав ила",
+      "ĠпÑĢави ла",
+      "ĠпÑĢавил а",
+      "kr ét",
+      "à¹Į ร",
+      "åĮ ¹",
+      "Ġ åħį",
+      "Ġå ħį",
+      "Ġåħ į",
+      "ĠÑģилÑĮ но",
+      "ĠиÑģ ÑĤоÑĩ",
+      "ĠиÑģÑĤ оÑĩ",
+      "ĠsaÄŁ lar",
+      "Ġ æѦ",
+      "ĠæŃ ¦",
+      "íĸ ĪìĬµëĭĪëĭ¤",
+      "íĸĪ ìĬµëĭĪëĭ¤",
+      "Kh ông",
+      "à¹Īาà¸ĩ à¹Ĩ",
+      "Û° Û°Û°",
+      "Û°Û° Û°",
+      "Ġ رÙĤ",
+      "Ġر ÙĤ",
+      "âĢĻ ÑıÑĤ",
+      "âĢĻÑı ÑĤ",
+      "åĽ ²",
+      "à¹ģ à¸Ķà¸ĩ",
+      "Ġžád né",
+      "c ouz",
+      "co uz",
+      "cou z",
+      "Ã ĭ",
+      "ĠпÑĸд гоÑĤов",
+      "Ġ ëĮĢíķĻ",
+      "ĠëĮĢ íķĻ",
+      "Ġdüny anın",
+      "èĢģ å¸Ī",
+      "èģĮ ä¸ļ",
+      "Ġy eri",
+      "Ġye ri",
+      "Ġyer i",
+      "à¥ĭ à¤ķर",
+      "à¥ĭà¤ķ र",
+      "ĠبÙĩ تر",
+      "ëĭĪ ìķĦ",
+      "ìĿĮ ìĿĦ",
+      "Ġ æĮĩ",
+      "ĠæĮ ĩ",
+      "ãĢį ï¼Ī",
+      "ĠÑģооÑĤвеÑĤÑģÑĤв ии",
+      "æĬ ĵ",
+      "à¹Ĥ à¸Ĺ",
+      "Ġtr á»ĵng",
+      "ĠпÑĢа ÑĨÑĸ",
+      "Ġ ëĨĵ",
+      "ĠëĨ ĵ",
+      "à¤ĩ न",
+      "Ġìłķ ë§IJ",
+      "ãĢ ķ",
+      "Ġc áºŃn",
+      "åĸ Ŀ",
+      "Ġê³Ħ ìĨį",
+      "Ġ ä¸İ",
+      "Ġä¸ İ",
+      "å¥ ı",
+      "Ġع اÙĦÙħ",
+      "Ġvys vÄĽt",
+      "Ġдо ÑĢог",
+      "ĠдоÑĢ ог",
+      "Ġн еÑĢв",
+      "ĠнеÑĢ в",
+      "Ġб еÑĤ",
+      "Ġп ÑĢиÑĤ",
+      "ĠпÑĢ иÑĤ",
+      "ĠпÑĢи ÑĤ",
+      "ов Ñĭй",
+      "å· ¡",
+      "Ùģ اع",
+      "Ðļ Ðĺ",
+      "à¸ķ รวà¸Ī",
+      "à¸ķรว à¸Ī",
+      "ĠÐľ ай",
+      "ĠÐľÐ° й",
+      "ëıĦ ë¡ľ",
+      "Ġz lat",
+      "ĠsaÄŁ lam",
+      "Ïģ αν",
+      "Ïģα ν",
+      "à¸Ĭ ร",
+      "å¹´ ãģ®",
+      "à¸Ħ รà¸Ńà¸ĩ",
+      "à¸Ħร à¸Ńà¸ĩ",
+      "Â ħ",
+      "Ġho á",
+      "Ġдов олÑĮно",
+      "Ġol maz",
+      "Ġolm az",
+      "Ġolma z",
+      "ĠpodmÃŃn ky",
+      "ĠÑħозÑı й",
+      "æĻ ´",
+      "ÑĢ ова",
+      "ÑĢов а",
+      "ÑĢо ва",
+      "Ġl ược",
+      "ान न",
+      "Ġкап иÑĤ",
+      "ĠÚĺ اÙĨ",
+      "æľī äºĽ",
+      "ĠповеÑĢÑħ ноÑģÑĤи",
+      "ĠÑĨ Ñĸн",
+      "ĠÑĨÑĸ н",
+      "ü yle",
+      "üy le",
+      "Ġj azy",
+      "Ġja zy",
+      "Ġjaz y",
+      "ĠPh ú",
+      "Ġ सन",
+      "Ġस न",
+      "åĩº åĶ®",
+      "Âł д",
+      "Ġ ãĤ¯",
+      "ĠãĤ ¯",
+      "çĶ± äºİ",
+      "à¥į पत",
+      "à¥įप त",
+      "ĠاÙĦØ® اÙħ",
+      "Ġاص ÙĦاØŃ",
+      "ĠاصÙĦ اØŃ",
+      "Ġ تÛĮ",
+      "Ġت ÛĮ",
+      "Ġt ato",
+      "Ġta to",
+      "Ġtat o",
+      "å¹ ¹",
+      "æ³ ½",
+      "à¸Ńà¸ģ à¸Īาà¸ģ",
+      "Ñĥ лÑİ",
+      "Ñĥл Ñİ",
+      "Ġв Ñģп",
+      "ĠвÑģ п",
+      "m ekte",
+      "me kte",
+      "mek te",
+      "à¥Ģ फ",
+      "ĠÚĺ ÙĪئ",
+      "Ġl á»ĩnh",
+      "Ġlá»ĩ nh",
+      "âĢĮ کرد",
+      "âĢĮÚ© رد",
+      "íı¬ ì¸ł",
+      "an ki",
+      "ank i",
+      "Ġëĵ±ë¡Ŀ ëĮĢíĸī",
+      "Ġ ãĤĿ",
+      "ĠãĤ Ŀ",
+      "Ġار زش",
+      "Ġارز Ø´",
+      "Ġth ú",
+      "Ġ ấn",
+      "è¡Į 为",
+      "ĠÑģ нова",
+      "ê ¾¸",
+      "Ġsou hlas",
+      "Ġв озв",
+      "Ġвоз в",
+      "Ġво зв",
+      "ÏģÎŃ ÏĢει",
+      "ĠнÑĸ Ñĩого",
+      "ĠнÑĸÑĩ ого",
+      "н ож",
+      "но ж",
+      "ÑĤ ик",
+      "ÑĤи к",
+      "ãģ© ãģĵ",
+      "ĠоÑģнов е",
+      "ãĤ ¥",
+      "à¸Ľà¸£à¸° à¸Īำ",
+      "Ġ à¸Ĺà¸Ńà¸ĩ",
+      "Ġà¸Ĺ à¸Ńà¸ĩ",
+      "Ġek sik",
+      "Ġeks ik",
+      "ĠÙĦ Ø¥",
+      "ãģĭ ãģ®",
+      "Ġ ãģª",
+      "- प",
+      "Ïģ ει",
+      "Ïģε ι",
+      "ĠìłĦ 문",
+      "า à¸ģล",
+      "าà¸ģ ล",
+      "β ε",
+      "íĬ¹ ë³Ħ",
+      "íķĺ ë©´ìĦľ",
+      "íķĺë©´ ìĦľ",
+      "à¸Ħà¹Ĥà¸Ļ à¹Ĥลย",
+      "Ġ 好",
+      "Ġå¥ ½",
+      "Ġy ayım",
+      "Ġyay ım",
+      "ë§Į ëĤ¨",
+      "ĠкиÑģ лоÑĤ",
+      "ĠкиÑģл оÑĤ",
+      "ĠÑį неÑĢг",
+      "çĸ ¾",
+      "Ġد Ø´",
+      "Ġsor uml",
+      "Ġsoru ml",
+      "Ġза клад",
+      "Ġзак лад",
+      "à¸Ĭ à¸Ńà¸ļ",
+      "ĠÙģرÙĩÙĨÚ¯ ÛĮ",
+      "Ġà¤ı ल",
+      "Ġë¹Ħ êµIJ",
+      "l erce",
+      "ler ce",
+      "Ġ Ø·ÙĦب",
+      "ĠØ· ÙĦب",
+      "ĠØ·ÙĦ ب",
+      "ãģ« ãģĹãģ¦",
+      "ĠÑı коÑĹ",
+      "ĠÑıк оÑĹ",
+      "ĠاÙĦب تÙĩ",
+      "ĠÐľ аÑĤ",
+      "ĠÐľÐ° ÑĤ",
+      "åį ĵ",
+      "Ġ åħ¬åı¸",
+      "Ġåħ¬ åı¸",
+      "Ġsöy ley",
+      "Ġsöyl ey",
+      "ĠìĥĪ ë¡ľìļ´",
+      "ĠÑĦ аÑĢ",
+      "Ġalt ına",
+      "Ġaltın a",
+      "Ġaltı na",
+      "Ġsta vu",
+      "Ġstav u",
+      "âĢĻ ı",
+      "al izace",
+      "aliz ace",
+      "Ġви ÑģÑĤÑĥп",
+      "æķĻ å¸Ī",
+      "à¥Ģ à¤ıस",
+      "à¥Ģà¤ı स",
+      "o dÄĽ",
+      "od ÄĽ",
+      "ĠÑĨ Ñĸл",
+      "ĠÑĨÑĸ л",
+      "ĠëĮĢ ìĥģ",
+      "ĠкоÑĤоÑĢ ом",
+      "ĠкоÑĤ оÑĢом",
+      "Ġظ رÙģ",
+      "éİ ®",
+      "اÙģ ÙĬØ©",
+      "اÙģÙĬ Ø©",
+      "Ġ ìĹĨìĿ´",
+      "ĠìĹĨ ìĿ´",
+      "ĠμÏĮ νο",
+      "ĠC Æ¡",
+      "å¯ »",
+      "ÏĦ ιÏĥ",
+      "ÏĦι Ïĥ",
+      "Ġ ãĤĦ",
+      "ĠãĤ Ħ",
+      "Ġjed noho",
+      "Ġjedn oho",
+      "Ġjedno ho",
+      "ا ا",
+      "Ø§Ø §",
+      "et ler",
+      "Ġव स",
+      "ĠÑĢазлиÑĩ нÑĭÑħ",
+      "Ġج غراÙģ",
+      "Ġth ừa",
+      "Ġthá» «a",
+      "ĠгÑĢомад Ñıн",
+      "ॠ°",
+      "ĠاÙĦØ£ Ø®",
+      "Ġнаг ÑĢÑĥз",
+      "ç¸ ¾",
+      "à¥Ĥ ह",
+      "ĠпÑĢÑıм о",
+      "â Ĭ",
+      "ĠاÙĦØ£ÙĪÙĦ Ùī",
+      "æĸ° èģŀ",
+      "Ġìĥģ íĻ©",
+      "it esi",
+      "ite si",
+      "ites i",
+      "ëį° ìĿ´íĬ¸",
+      "æŃ ·",
+      "ï¼ĮèĢĮ ä¸Ķ",
+      "ãģ¯ ãģļ",
+      "产 çĶŁ",
+      "æ°Ĺ ãģĮ",
+      "y slu",
+      "ys lu",
+      "ysl u",
+      "ìĸ´ ëĤĺ",
+      "ا Ú©Ùħ",
+      "اک Ùħ",
+      "âĢ ĥ",
+      ") ìĿĢ",
+      "Ġجست ارÙĩاÛĮ",
+      "ÙĪ Ø«",
+      "ãħ İ",
+      "Ġkav ram",
+      "v ál",
+      "vá l",
+      "æľ Ń",
+      "æĤ ł",
+      "ìħ Ģ",
+      "h rad",
+      "hr ad",
+      "hra d",
+      "Ġت ÙĥÙĪÙĨ",
+      "ĠتÙĥ ÙĪÙĨ",
+      "ĠH òa",
+      "å¹´ çļĦ",
+      "Ġç arp",
+      "Ġça rp",
+      "Ġy olu",
+      "Ġyo lu",
+      "Ġyol u",
+      "Ġdub na",
+      "ĠÐĴ елик",
+      "ĠÐĴели к",
+      "Ġt ôn",
+      "Ġtô n",
+      "æ ķĮ",
+      "æķ Į",
+      "Ġc oi",
+      "Ġco i",
+      "Ġnak onec",
+      "ĠÑį ÑĤÑĥ",
+      "ĠÑįÑĤ Ñĥ",
+      "íĨµ ëł¹",
+      "ÑĪ ел",
+      "ÑĪе л",
+      "Ġneb yl",
+      "Ġneby l",
+      "in ç",
+      "ب اÙĦØ¥ÙĨجÙĦÙĬزÙĬØ©",
+      "باÙĦ Ø¥ÙĨجÙĦÙĬزÙĬØ©",
+      "ï¼ ¡",
+      "о нÑĮ",
+      "он ÑĮ",
+      "Ġне маÑĶ",
+      "Ġнем аÑĶ",
+      "Ġê³ł ê°Ŀ",
+      "ĠÙĤ طع",
+      "ĠÙĤØ· ع",
+      "ĠÑĤеÑĢиÑĤоÑĢ ÑĸÑĹ",
+      "人 ãģ¯",
+      "ĠΣ α",
+      "éĤ£ äºĽ",
+      "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "ios per",
+      "í Ĥ¨",
+      "íĤ ¨",
+      "r aki",
+      "ra ki",
+      "rak i",
+      "اÛĮ ج",
+      "Âł C",
+      "Ġан алÑĸз",
+      "ãĤı ãĤĬ",
+      "ĠìķĦëĭ Į",
+      "ĠاÙĦعÙħÙĦ ÙĬØ©",
+      "ĠاÙĦعÙħ ÙĦÙĬØ©",
+      "l ament",
+      "la ment",
+      "lam ent",
+      "é» ¨",
+      "u jÃŃcÃŃm",
+      "ujÃŃ cÃŃm",
+      "ujÃŃcÃŃ m",
+      "Ġr ẻ",
+      "ä¸į åĪ°",
+      "Ġrez erv",
+      "ĠاÙĦØ° ÙĬÙĨ",
+      "ĠاÙĦØ°ÙĬ ÙĨ",
+      "æĭ ¥",
+      "Ðĺ н",
+      "Ġतह त",
+      "r esi",
+      "re si",
+      "res i",
+      "Ġ ãĥ¢",
+      "Ġãĥ ¢",
+      "л ев",
+      "ле в",
+      "ãĢĢ r",
+      "Ġ ä»Ĭ",
+      "Ġö dem",
+      "Ġpot rav",
+      "ĠêµIJ ìĪĺ",
+      "ÑĢ еди",
+      "ÑĢед и",
+      "ÑĢе ди",
+      "ĠÎļ ÎijÎĻ",
+      "Ġ наÑĩала",
+      "ĠнаÑĩ ала",
+      "Ġиз б",
+      "ĠbÅĻez na",
+      "Ġle dna",
+      "Ġled na",
+      "ÑĢ ÑĥÑİÑĤ",
+      "ÑĢÑĥ ÑİÑĤ",
+      "Ġ моÑĤ",
+      "Ġм оÑĤ",
+      "Ġмо ÑĤ",
+      "åıĹ åĪ°",
+      "ĠÑĢÑĥ кÑĥ",
+      "ĠÑĢÑĥк Ñĥ",
+      "Ỽ m",
+      "ad ele",
+      "ade le",
+      "adel e",
+      "ĠÑĢоз глÑı",
+      "åħ IJ",
+      "Ġر ÙĪاÙĨ",
+      "ĠرÙĪ اÙĨ",
+      "а ков",
+      "ак ов",
+      "Ñĥ ÑĢÑĭ",
+      "ÑĥÑĢ Ñĭ",
+      "Ġaz al",
+      "ĠÑĥ кÑĢа",
+      "ĠÑĥк ÑĢа",
+      "пи он",
+      "ĠÄįlov ÄĽ",
+      "äºĮäºĮ äºĮäºĮ",
+      "ا بÙĬ",
+      "اب ÙĬ",
+      "Ġas lında",
+      "ë¹ Ī",
+      "Ġв ÑĢаÑĩ",
+      "ĠвÑĢа Ñĩ",
+      "ë£ ¹",
+      "Ġген еÑĢа",
+      "à¸ģาร ส",
+      "ĠÑģов Ñģем",
+      "ÙĪ ÙĦا",
+      "ÙĪÙĦ ا",
+      "Ġश ब",
+      "ाà¤ĸ ण",
+      "ست اÙĨÛĮ",
+      "ستاÙĨ ÛĮ",
+      "æĬ ½",
+      "Ġrů z",
+      "ĠíĮIJ 매",
+      "à¸ģาร à¸ķ",
+      "ائ ÛĮ",
+      "a sal",
+      "as al",
+      "asa l",
+      "ĠÑĢабоÑĤ Ñĥ",
+      "ĠÑĢаб оÑĤÑĥ",
+      "ĠÑĢабо ÑĤÑĥ",
+      "à¥ĭल न",
+      "Ġ 马",
+      "Ġé© ¬",
+      "Ġl ai",
+      "Ġla i",
+      "ó i",
+      "v ap",
+      "va p",
+      "ëħĦ ìĹIJëĬĶ",
+      "ëħĦìĹIJ ëĬĶ",
+      "ĠпеÑĢед баÑĩ",
+      "Ġп леÑĩ",
+      "Ġпл еÑĩ",
+      "id det",
+      "idd et",
+      "ĠÑĩ оÑĢ",
+      "i yan",
+      "iy an",
+      "iya n",
+      "ãĢĢ ãĢĢãĢĢãĢĢãĢĢĠãĢĢ",
+      "ãĢĢãĢĢ ãĢĢãĢĢãĢĢĠãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢ ãĢĢĠãĢĢ",
+      "ãĢĢãĢĢãĢĢ ãĢĢãĢĢĠãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢ ĠãĢĢ",
+      "ĠØŃر ÙģÙĩ",
+      "ĠØŃرÙģ Ùĩ",
+      "大 éĺª",
+      "Ñĩ ого",
+      "Ġ ки",
+      "Ġк и",
+      "ا ÙĪÙĬ",
+      "اÙĪ ÙĬ",
+      "ĠbaÅŁ lan",
+      "Ġmerk ezi",
+      "Ġmerkez i",
+      "© ©",
+      "Ġر است",
+      "Ġرا ست",
+      "Ġ ëĬĶ",
+      "ĠëĬ Ķ",
+      "ĠÑģ ÑĢав",
+      "ĠвнÑĥ ÑĤÑĢи",
+      "ĠвнÑĥÑĤÑĢ и",
+      "ĠвнÑĥÑĤ ÑĢи",
+      "ãĢĢ ãĥİ",
+      "åĿ Ľ",
+      "Ġв ÑĤ",
+      ": :/",
+      ":: /",
+      "Ġsöz leÅŁ",
+      "Ġver diÄŁi",
+      "Ġverdi ÄŁi",
+      "ิ ยม",
+      "ิย ม",
+      "ĠÐŁ ÑĢоÑĤ",
+      "ĠÐŁÑĢ оÑĤ",
+      "ĠÐŁÑĢо ÑĤ",
+      "Ùĥ ار",
+      "Ġب ÙĨدÛĮ",
+      "ĠبÙĨ دÛĮ",
+      "ĠبÙĨد ÛĮ",
+      "Ùı ÙĪ",
+      "缴 æĴŃ",
+      "ĠÙħ ÙĦÙĬ",
+      "ĠÙħÙĦ ÙĬ",
+      "Ġnut né",
+      "ะà¹ģ à¸Ļà¸Ļ",
+      "ĠM ã",
+      "Ġ ì´",
+      "Ġì ´",
+      "à¹Ī าม",
+      "à¹Īา ม",
+      "м оÑģ",
+      "мо Ñģ",
+      "Ġпо Ñıви",
+      "ĠпоÑıв и",
+      "Ġn ghi",
+      "Ġng hi",
+      "Ġngh i",
+      "Ġ ëIJĺëĬĶ",
+      "ĠëIJĺ ëĬĶ",
+      "Ñģ клад",
+      "Ñģк лад",
+      "à¤Ĺ ल",
+      "ĠC á»Ļng",
+      "çŁ¥ è¯Ĩ",
+      "Ġ taj",
+      "Ġt aj",
+      "Ġta j",
+      "Ġع بر",
+      "Ġعب ر",
+      "éĻĦ è¿ij",
+      "ü ÄŁ",
+      "Ġê³µ ê³ł",
+      "è£ ķ",
+      "âĢĮ Ø´ÙĨ",
+      "âĢĮØ´ ÙĨ",
+      "Ġgerç ekten",
+      "Ġgerçek ten",
+      "n un",
+      "nu n",
+      "Ùħ Ø´",
+      "ê°Ģ ëĬ¥",
+      "ãĥ© ãĥ³ãĥī",
+      "ãĥ©ãĥ³ ãĥī",
+      "ay acak",
+      "aya cak",
+      "åįģ ä¸Ģ",
+      "ĠB ảo",
+      "Ġyet erli",
+      "Ġyeter li",
+      "ž iv",
+      "ži v",
+      "ĠÙĬÙĨ اÙĬر",
+      "Ġb ýval",
+      "Ġbý val",
+      "ìĽĶ ê¹Įì§Ģ",
+      "Ġn ợ",
+      "Ġ ê´Ģê³Ħ",
+      "Ġê´Ģ ê³Ħ",
+      "Ġ íĿ¬",
+      "ĠíĿ ¬",
+      "а ÑİÑĤÑĮ",
+      "аÑİÑĤ ÑĮ",
+      "аÑİ ÑĤÑĮ",
+      "Ġgö tür",
+      "Ġваж но",
+      "Ġва жно",
+      "æµ ©",
+      "ĠìĿ¼ ë¶Ģ",
+      "ÑĨÑĸй ний",
+      "ëł¥ ìĿĦ",
+      "Ġл еÑĩение",
+      "ĠлеÑĩ ение",
+      "éĸ¢ ä¿Ĥ",
+      "ĠT üm",
+      "ìĻ Ķ",
+      "éģ Ĺ",
+      "ĠD ön",
+      "Ġ ÑģпÑĸлÑĮ",
+      "ĠÑģп ÑĸлÑĮ",
+      "ĠÑģпÑĸл ÑĮ",
+      "ãĥģ ãĤ§",
+      "н ÑıеÑĤÑģÑı",
+      "нÑı еÑĤÑģÑı",
+      "нÑıеÑĤ ÑģÑı",
+      "il tere",
+      "ilter e",
+      "ilt ere",
+      "Ġ íĮĢ",
+      "Ġí ĮĢ",
+      "ĠíĮ Ģ",
+      "è¨Ń å®ļ",
+      "Ġro din",
+      "Ġrod in",
+      "Ġrodi n",
+      "ĠاÙĤتص اد",
+      "алÑĮ не",
+      "à¥į à¤ķर",
+      "à¥įà¤ķ र",
+      "Ġvý bÄĽ",
+      "Ġteh lik",
+      "âĶ IJ",
+      "Ġ çĶ°",
+      "Ïģί ÏĤ",
+      "iy el",
+      "iye l",
+      "Ġth iá»ĩu",
+      "Ġthi á»ĩu",
+      "ÏĪ ηÏĤ",
+      "ÏĪη ÏĤ",
+      "Ġд ве",
+      "Ġдв е",
+      "ĠEl ekt",
+      "ĠEle kt",
+      "à¸ģ à¸İ",
+      "о ÑĢÑĥж",
+      "оÑĢ Ñĥж",
+      "оÑĢÑĥ ж",
+      "a ÅŁÄ±",
+      "aÅŁ ı",
+      "è© ³ç´°",
+      "Ġات ÙģاÙĤ",
+      "Ġg ắn",
+      "æ²Ĵ æľī",
+      "ĠÙħطاÙĦ عÙĩ",
+      "ÏĦ ιν",
+      "ÏĦι ν",
+      "Ġok res",
+      "Ñ ľ",
+      "ê° Ķëĭ¤",
+      "Ðł оз",
+      "å¾ĭ 宾",
+      "ï¼ī ï¼Ī",
+      "Ġìļ´ìĺģ ìŀIJ",
+      "ãĤ« ãĥĨ",
+      "l aÄį",
+      "la Äį",
+      "à¥ĩब स",
+      "Ġo Äįi",
+      "ĠoÄį i",
+      "- б",
+      "e lerden",
+      "eler den",
+      "elerde n",
+      "k ových",
+      "kov ých",
+      "kový ch",
+      "ĠÄ°z mir",
+      "สม าà¸Ĭ",
+      "lad atel",
+      "Ġ æ»",
+      "Ġæ »",
+      "éĶĢ åĶ®",
+      "ĠдоÑģлÑĸд женнÑı",
+      "ĠлÑĸ каÑĢ",
+      "ĠлÑĸка ÑĢ",
+      "ĠлÑĸк аÑĢ",
+      "Ġодна ко",
+      "ĠV ác",
+      "Ġ è«",
+      "Ġè «",
+      "éĢ² è¡Į",
+      "以 å¤ĸ",
+      "é³ ¥",
+      "Ġ ÙĨج",
+      "ĠÙĨ ج",
+      "ĠbaÅŁ kan",
+      "ĠbaÅŁka n",
+      "ĠbaÅŁk an",
+      "Ġopat ÅĻenÃŃ",
+      "ا رش",
+      "ار ش",
+      "ض اÙģØ©",
+      "ضا ÙģØ©",
+      "ãĤ¹ ãĥ¬",
+      "ή ν",
+      "ÄĽ tÃŃ",
+      "ÄĽt ÃŃ",
+      "ว ย",
+      "Ġرس ÙĪÙĦ",
+      "ÅĻ ich",
+      "ÅĻi ch",
+      "ĠpÅĻ ih",
+      "ĠpÅĻi h",
+      "ÑĮ ми",
+      "çĦ¶ èĢĮ",
+      "Ġth ẳng",
+      "l amaz",
+      "la maz",
+      "lam az",
+      "lama z",
+      "ÙĢ ÙĢÙĢ",
+      "ÙĢÙĢ ÙĢ",
+      "Ġì°¸ ìŬ",
+      "ĠÙĨÙĪ شتÙĩ",
+      "ĠÙĨÙĪØ´ تÙĩ",
+      "ĠÑģÑĤ ек",
+      "ãģ® ãģ¿",
+      "ĠÙĪ اÙĦع",
+      "ĠÙĪاÙĦ ع",
+      "ĠÙĪا ÙĦع",
+      "æķ ¢",
+      "à¥Ģà¤Ĥ ,",
+      "ÐŀÑģ нов",
+      "им оÑģÑĤи",
+      "имо ÑģÑĤи",
+      "ĠÄĮesk á",
+      "ĠÄĮes ká",
+      "Ñĸ Ñĩний",
+      "ÑĸÑĩ ний",
+      "าม ารà¸ĸ",
+      "ekk ür",
+      "Âł h",
+      "ι κη",
+      "ικ η",
+      "Ġتع ÛĮÛĮÙĨ",
+      "к оÑģÑĤÑĸ",
+      "ко ÑģÑĤÑĸ",
+      "ĠMust afa",
+      "Ġì¦ ī",
+      "ãģ§ ãģĤãĤĬ",
+      "ãģ§ãģĤ ãĤĬ",
+      "å·¥ ä¸ļ",
+      "ov ÃŃd",
+      "ovÃŃ d",
+      "ÐĿ о",
+      "Ġس پس",
+      "Ġسپ س",
+      "Ú¯ÛĮ رد",
+      "Ú¯ÛĮر د",
+      "Ġп едагог",
+      "Ġ کارÛĮ",
+      "ĠÚ© ارÛĮ",
+      "Ġکار ÛĮ",
+      "ĠÑĪ ÑĤÑĥ",
+      "ĠÑĪÑĤ Ñĥ",
+      "æĮ Ĥ",
+      "Ø¢ Ùħد",
+      "Ø¢Ùħ د",
+      "羣 æĺ¯",
+      "Ġ ابت",
+      "Ġا بت",
+      "Ġاب ت",
+      "Ġرئ ÛĮس",
+      "Ġد ÛĮÙĨ",
+      "ĠدÛĮ ÙĨ",
+      "ÏĪ ε",
+      "Ġse zon",
+      "Ġsez on",
+      "Ġ çĨ",
+      "Ġç Ĩ",
+      "स न",
+      "ãĥ» ãĤ¢",
+      "Ġ åħŃ",
+      "Ġåħ Ń",
+      "Ġ è±",
+      "Ġè ±",
+      "Ġìłľ 목",
+      "ĠÙħ عد",
+      "ĠÙħع د",
+      "ĠÙģ ÙĤد",
+      "ĠÙģÙĤ د",
+      "éĤ Ĭ",
+      "Ω Σ",
+      "Ġ å¡",
+      "Ġå ¡",
+      "Ġob vyk",
+      "ĠìĿ´ ëłĩê²Į",
+      "ĠбоÑĢ оÑĤÑĮ",
+      "Û² Û±",
+      "Ġ á»ijng",
+      "Ġá» ijng",
+      "è¯ Ĺ",
+      "Ġ ÄIJá»iji",
+      "ĠÄIJ á»iji",
+      "ĠбеÑĢез нÑı",
+      "Ġs oÄŁ",
+      "Ġso ÄŁ",
+      "Ġ ï¾į",
+      "Ġï¾ į",
+      "ãĤĴ ãģ¤",
+      "ãģĹ ãĤĥ",
+      "еÑĢ еÑĩ",
+      "еÑĢе Ñĩ",
+      "ãĢĢ ãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢ ĠãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢĠãĢĢ ĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢĠãĢĢĠãĢĢ ĠãĢĢ",
+      "ãĢĢãĢĢĠ ãĢĢĠãĢĢĠãĢĢ",
+      "æĪ ª",
+      "ĠاÙĦسعÙĪد ÙĬØ©",
+      "ĠëĤ¨ ìŀIJ",
+      "ĠAng iosper",
+      "???????? ????????",
+      "Ġpr ům",
+      "Ġprů m",
+      "ĠплоÑī ад",
+      "Ġ ÏĦÏģα",
+      "ĠÏĦ Ïģα",
+      "д аÑİÑĤ",
+      "да ÑİÑĤ",
+      "Ġsı nav",
+      "Ġsın av",
+      "Ġm ặc",
+      "æ°´ å¹³",
+      "Ġви глÑı",
+      "Ġвиг лÑı",
+      "Ġn ást",
+      "Ġná st",
+      "Ġnás t",
+      "ĠобÑĭ Ñĩ",
+      "ĠìĿ´ìķ¼ 기",
+      "ë¹ Ľ",
+      "ĠB aÄŁ",
+      "ĠBa ÄŁ",
+      "ĠاÙĦØ« اÙĦØ«",
+      "Ġser vis",
+      "Ġserv is",
+      "Ġservi s",
+      "Ġ 룬",
+      "ĠëŁ ¬",
+      "ом ина",
+      "ί θ",
+      "Ġ Ấ",
+      "ĠẠ¤",
+      "경 기",
+      "Ġì¡ ¸",
+      "ี à¸ļ",
+      "Ġà¤ĺ à¤Łà¤¨",
+      "Ġ à¸Ļาà¸ĩ",
+      "Ġà¸Ļ าà¸ĩ",
+      ". Îł",
+      "ìķ ķ",
+      "r ün",
+      "Ġon ların",
+      "Ġonları n",
+      "Ġonlar ın",
+      "Ġзб ÑĸлÑĮÑĪ",
+      "à¹ģ à¸Ł",
+      "ĠìŬ 기",
+      "Ġ ëĮĢíijľ",
+      "ĠëĮĢ íijľ",
+      "ĠÑģи лÑĥ",
+      "ĠÑģил Ñĥ",
+      "à¹Ĥ à¸Ľ",
+      "Ġت ÙĤد",
+      "ĠتÙĤ د",
+      "ĠÐŁ ом",
+      "ĠÐŁÐ¾ м",
+      "ĠмаÑģ ла",
+      "Ġ ìĺģìĥģ",
+      "Ġìĺģ ìĥģ",
+      "н ение",
+      "не ние",
+      "нен ие",
+      "λα μβ",
+      "ĠB yl",
+      "ĠBy l",
+      "æĬ µ",
+      "æİ ª",
+      "Ġκαθ ÏİÏĤ",
+      "m ızı",
+      "æĸ° çļĦ",
+      "éĩį è¤ĩ",
+      "ั à¸Ľ",
+      "çŃ Ĩ",
+      "ĠÑĤ ка",
+      "ĠзнаÑĩ еннÑı",
+      "Ġзна ÑĩеннÑı",
+      "л аÑĤи",
+      "ла ÑĤи",
+      "лаÑĤ и",
+      "Ġv liv",
+      "Ġvl iv",
+      "ÐIJ н",
+      "ĠÚĨ اپ",
+      "ĠпиÑĤ анÑĮ",
+      ": ï½ī",
+      "æķĻ æİĪ",
+      "Ġì¹ľ 구",
+      "Ġtr ao",
+      "Ġtra o",
+      "à¥įयà¤ķ त",
+      "ุà¸Ħ à¸Ħล",
+      "ĠرÙĪ Ø´ÙĨ",
+      "ĠرÙĪØ´ ÙĨ",
+      "ĠعÙĦÙĬ Ùĩا",
+      "ĠعÙĦÙĬÙĩ ا",
+      "ãĢģ ãģĦ",
+      "ëħĦ ìĹIJ",
+      "éĢ Ĩ",
+      "Ġмаг аз",
+      "ï¾ŀ ï¾ŀ",
+      "Ġs ice",
+      "Ġsi ce",
+      "Ġsic e",
+      "âĢĻ te",
+      "âĢĻt e",
+      "ĠاÙĦÙĦ غة",
+      "á u",
+      "èĩª 身",
+      "Ġng Å©",
+      "ĠÑģк ладÑĥ",
+      "ĠÑģклад Ñĥ",
+      "Ġz ru",
+      "Ġtr uy",
+      "Ġ ilan",
+      "Ġi lan",
+      "Ġil an",
+      "ĠÙ¾ اÛĮÙĩ",
+      "ĠپاÛĮ Ùĩ",
+      "Ġپا ÛĮÙĩ",
+      ": :::::::::::::",
+      ":: ::::::::::::",
+      ":::: ::::::::::",
+      ":::::: ::::::::",
+      ":::::::: ::::::",
+      "::: :::::::::::",
+      "::::: :::::::::",
+      "::::::: :::::::",
+      "::::::::: :::::",
+      ":::::::::: ::::",
+      "::::::::::: :::",
+      ":::::::::::: ::",
+      "::::::::::::: :",
+      "f ak",
+      "fa k",
+      "ÑĤ еÑħ",
+      "ÑĤе Ñħ",
+      "Ġt aky",
+      "Ġta ky",
+      "Ġtak y",
+      "Ġìĸ¸ ìĸ´",
+      "ed enÃŃ",
+      "eden ÃŃ",
+      "ede nÃŃ",
+      "Ġà¤ļ लत",
+      "Ġà¤ļल त",
+      "Ġë°° ìļ°",
+      "Ġjmé no",
+      "ĠÙĦ Ø£ÙĨ",
+      "ĠÙĦØ£ ÙĨ",
+      "α νά",
+      "αν ά",
+      "к ÑĥлÑĮ",
+      "кÑĥ лÑĮ",
+      "кÑĥл ÑĮ",
+      "ĠØŃÙģ ظ",
+      "ĠآزÙħ ÙĪÙĨ",
+      "иÑĤелÑĮ нÑĭе",
+      "ĠÐŀ лекÑģанд",
+      "èį £",
+      "Ġà¤ľà¤¬ à¤ķ",
+      "Ġr odi",
+      "Ġro di",
+      "Ġrod i",
+      "Ġبرخ ÙĪرد",
+      "Ġhaf ta",
+      "Ġhaft a",
+      "λ ικά",
+      "λι κά",
+      "λικ ά",
+      "à¸ķ à¸Ļ",
+      "ĠбеÑĢ ег",
+      "αν δ",
+      "- С",
+      "Ġprav idel",
+      "ĠбÑĸ лÑı",
+      "ĠбÑĸл Ñı",
+      "íĴ į",
+      "ĠпÑĢед ÑĥÑģ",
+      "ĠмÑĥ ниÑĨип",
+      "åĮĸ åѦ",
+      "ĠتÙħ اس",
+      "Ġà¤ī ल",
+      "Ðĵ Ðŀ",
+      "غ ر",
+      "r adan",
+      "ra dan",
+      "rad an",
+      "rada n",
+      "ĠëĤĺ ìĺ¤",
+      "è¨ Ĥ",
+      "à¹Ģà¸ĺ à¸Ń",
+      "âĢĮ سÛĮ",
+      "âĢĮس ÛĮ",
+      "ĠобÑıз аÑĤелÑĮно",
+      "ĠобÑıзаÑĤелÑĮ но",
+      "о ÑĤе",
+      "оÑĤ е",
+      "à¹Į à¸Ĭ",
+      "çĶ¨ çļĦ",
+      "Ġalt ın",
+      "Ġaltı n",
+      "ĠÑģоÑĤ ÑĢÑĥд",
+      "Ñĸ нки",
+      "Ñĸн ки",
+      "озмож но",
+      "Î IJ",
+      "ë¹ Į",
+      "Â ķ",
+      "ĠÑĤ оÑĩно",
+      "ĠÑĤо Ñĩно",
+      "ĠÑĤоÑĩ но",
+      "Ġj men",
+      "Ġjm en",
+      "اÙĦ ÛĮا",
+      "اÙĦÛĮ ا",
+      "èĪ į",
+      "ch odu",
+      "cho du",
+      "chod u",
+      "ê³ ¤",
+      "ick ém",
+      "ické m",
+      "ĠÙħ ÙĪر",
+      "ĠÙħÙĪ ر",
+      "ãĥª ãĥ³ãĤ¯",
+      "ãĥªãĥ³ ãĤ¯",
+      "Ġa ÅŁam",
+      "ĠaÅŁ am",
+      "Ġ иÑĤ",
+      "Ġи ÑĤ",
+      "Ġन य",
+      "Ġ μο",
+      "Ġμ ο",
+      "éķ ľ",
+      "ĠبÙĨ ابر",
+      "ĠبÙĨا بر",
+      "Ġت خصص",
+      "Ġส à¸ŀ",
+      "ĠпÑĢоÑĦеÑģ Ñģи",
+      "Ġp uan",
+      "Ġpu an",
+      "ĠÙģر ÙħاÙĨ",
+      "ĠÙģرÙħ اÙĨ",
+      "ëĮĢ íļĮ",
+      "Ġп ÑıÑĤ",
+      "ĠÙħ ÙĪب",
+      "ĠÙħÙĪ ب",
+      "ĠvÄĽ ku",
+      "Ġ ëĥ",
+      "Ġë ĥ",
+      "ec ký",
+      "eck ý",
+      "ĠìĪĺ ëıĦ",
+      "Ġth ao",
+      "Ġtha o",
+      "Ġk apat",
+      "Ġka pat",
+      "Ġkap at",
+      "ĠзаÑħ воÑĢÑİ",
+      "Ġ åħī",
+      "Ġåħ ī",
+      "ر اÙĨÛĮ",
+      "راÙĨ ÛĮ",
+      "را ÙĨÛĮ",
+      "éĢł æĪIJ",
+      "ĠÑģв Ñĸй",
+      "ĠдоÑģ иÑĤÑĮ",
+      "Ġmil yar",
+      "Ġener ji",
+      "Ġenerj i",
+      "Ġк ип",
+      "Ġки п",
+      "Ġì¢ĭ ìķĦ",
+      "Ġب Ø¥",
+      "ê²Į ìĭľ",
+      "ĠL Æ°u",
+      "ĠÙħÙĨظ ÙĪر",
+      "Ïī μά",
+      "ζ ί",
+      "ım da",
+      "Ġ ìĿ´ë¥¼",
+      "ĠìĿ´ 를",
+      "๠Ĵ",
+      "Ġв важ",
+      "Ġвв аж",
+      "Ġga zet",
+      "Ġgaze t",
+      "Ġgaz et",
+      "à¥įत न",
+      "à¹īำ หà¸Ļ",
+      "åľŁ åľ°",
+      "Ġसद स",
+      "ت بة",
+      "تب ة",
+      "Ġpo ÄįÃŃta",
+      "Ġìĭľ ìĬ¤íħľ",
+      "ร à¸Ħ",
+      "Ġed ecek",
+      "ĠتØŃ ÙĦÛĮÙĦ",
+      "æĮī çħ§",
+      "åĿ ª",
+      "Ġê·¸ ê°Ģ",
+      "ت ÙĩÙħ",
+      "تÙĩ Ùħ",
+      "Ġб аж",
+      "Ġба ж",
+      "ا Ùģع",
+      "اÙģ ع",
+      "éĢļ 常",
+      "ĠТ и",
+      "γ νÏī",
+      "ì¹ Ļ",
+      "Ġznam ená",
+      "ï¼¼ ï¼¼",
+      "α ÏĢÏĮ",
+      "åĨĻ 羣",
+      "Ġ ï¼¼Ċ",
+      "Ġï¼¼ Ċ",
+      "åĬł å·¥",
+      "èĤ¡ä»½ æľīéĻIJåħ¬åı¸",
+      "Ñı ÑĤий",
+      "ÑıÑĤ ий",
+      "ÑıÑĤи й",
+      "Ġh âl",
+      "Ġç ab",
+      "Ġça b",
+      "ĠØŃ Ø§Ø¶Ø±",
+      "P ÅĻ",
+      "ĠاÙĦ تÙĤ",
+      "ĠاÙĦت ÙĤ",
+      "ξ ηÏĤ",
+      "ξη ÏĤ",
+      "б е",
+      "Ġkh ám",
+      "Ġkhá m",
+      "Ġ âĮĴ",
+      "Ġâ ĮĴ",
+      "Ġ éķ¿",
+      "Ġéķ ¿",
+      "Ġ âĢ¦Ċ",
+      "ĠâĢ¦ Ċ",
+      "द म",
+      "ĠSt udi",
+      "ĠStud i",
+      "Ġk odu",
+      "Ġko du",
+      "Ġkod u",
+      "Ġkom unik",
+      "Ġkomun ik",
+      "Ġkat kı",
+      "n ete",
+      "ne te",
+      "net e",
+      "Ġr apor",
+      "Ġrap or",
+      "Ġra por",
+      "éĨ ´",
+      "ãĤī ãģĽ",
+      "ĠнеÑģк олÑĮ",
+      "Ġhá»į p",
+      "￣ ￣￣",
+      "￣￣ ￣",
+      "º ¼",
+      "è£ Ĥ",
+      "ед ÑĮ",
+      "Ġا ÙĦاØŃ",
+      "ĠاÙĦ اØŃ",
+      "l adık",
+      "la dık",
+      "lad ık",
+      "ladı k",
+      "Ġfot oÄŁraf",
+      "æĹ¥ ãģ®",
+      "ĠØŃ Ø§ÙĦت",
+      "ĠØŃاÙĦ ت",
+      "ĠØ« ÙĦاث",
+      "а ÑĤов",
+      "аÑĤ ов",
+      "аÑĤо в",
+      "ey se",
+      "Ġê°IJ ìĤ¬",
+      "á že",
+      "áž e",
+      "Ġн ада",
+      "Ġна да",
+      "Ġнад а",
+      "Ġà¤ķ हन",
+      "Ġà¤ķह न",
+      "Ġ ãĥĿ",
+      "Ġãĥ Ŀ",
+      "ãģ« ãģĤãĤĭ",
+      "ãģ«ãģª ãģ£ãģ¦",
+      "ÙĪ دÙĩ",
+      "ÙĪد Ùĩ",
+      "Ġpo Å¡k",
+      "太 éĺ³åŁİ",
+      "ç»ı éªĮ",
+      "æĴŃ æĶ¾",
+      "Ġma jet",
+      "Ġmaj et",
+      "Ñħ о",
+      "ĠÑĤ еÑģÑĤ",
+      "ĠÑĤе ÑģÑĤ",
+      "ï¼ı Ċ",
+      "Ïĥε ÏĦε",
+      "ĠТ омÑĥ",
+      "ĠТо мÑĥ",
+      "ĠТом Ñĥ",
+      "Ùİ ØŃ",
+      "ĠìŀĪ ìľ¼ë©°",
+      "Ġза знаÑĩ",
+      "éļ IJ",
+      "Ġд ÑĸÑĹ",
+      "ĠдÑĸ ÑĹ",
+      "к ÑĤив",
+      "кÑĤ ив",
+      "кÑĤи в",
+      "ÙĪ ÙģÙĬ",
+      "ÙĪÙģ ÙĬ",
+      "Ġt á»Ŀ",
+      "Ġtá» Ŀ",
+      "à¸¹à¸Ľ à¹ģà¸ļà¸ļ",
+      "ĠÑĢ едак",
+      "ĠÑĢед ак",
+      "Ġa teÅŁ",
+      "Ġat eÅŁ",
+      "Ġate ÅŁ",
+      "Ġkh iá»ĥn",
+      "Ġkhi á»ĥn",
+      "ü ny",
+      "ün y",
+      "ี ยà¸ģ",
+      "ีย à¸ģ",
+      "ĠÑĩа Ñīе",
+      "Ġt uy",
+      "Ġtu y",
+      "γ Ïīν",
+      "γÏī ν",
+      "ร à¸Ńà¸ļ",
+      "Ġtr ùng",
+      "à¹ģà¸Ĺ à¸Ļ",
+      "Ġα κÏĮ",
+      "Ġακ ÏĮ",
+      "ĠÐĴеÑĢ Ñħов",
+      "à¹ĥ à¸Ļส",
+      "à¹ĥà¸Ļ ส",
+      "ãĢģ ä½ķ",
+      "åĩ ¦",
+      "Ġ ç»ı",
+      "Ġç» ı",
+      "æ¨ ĵ",
+      "اÙĨÚ¯ ÙĦÛĮسÛĮ",
+      "Ġ lepÅ¡ÃŃ",
+      "Ġlep Å¡ÃŃ",
+      "Ġ å¼Ģå§ĭ",
+      "Ġå¼Ģ å§ĭ",
+      "éĻ º",
+      "ĠÑĩ еÑĤÑĭ",
+      "ĠÑĩеÑĤ Ñĭ",
+      "ĠС еÑĢ",
+      "оÑİ Ð·",
+      "Ġx ung",
+      "Ġxu ng",
+      "åĵģ çīĮ",
+      "Ġìĥģ íĥľ",
+      "ĠÙĨ صب",
+      "ĠÙĨص ب",
+      "ĠÑĩ омÑĥ",
+      "Ġتر Ú©ÛĮ",
+      "Ġترک ÛĮ",
+      "- ли",
+      "o vÃŃ",
+      "ov ÃŃ",
+      "Ġا ÙĨج",
+      "ĠاÙĨ ج",
+      "çµ ¡",
+      "Ġت ÙĪص",
+      "ĠتÙĪ ص",
+      "Ġ ì¿ł",
+      "Ġì ¿ł",
+      "Ġvar sa",
+      "Ġva rsa",
+      "Ġvars a",
+      "ĠÑĢаз ÑĢабоÑĤ",
+      "à¸Ĥ à¸Ńà¸ĩà¸Ħ",
+      "à¸Ĥà¸Ńà¸ĩ à¸Ħ",
+      "éŃ Ĥ",
+      "Ġà¤Ĭ पर",
+      "æĿ¥ 说",
+      "ĠÑĨенÑĤ ÑĢалÑĮ",
+      "ĠÑĨенÑĤÑĢ алÑĮ",
+      "ĠÑĨенÑĤÑĢа лÑĮ",
+      "ĠTak ım",
+      "Ġon lar",
+      "Ġسر عت",
+      "好 åĥı",
+      "Ġbu á»ķi",
+      "ĠÐij ел",
+      "Âł c",
+      "أ ت",
+      "à¸Ĥ à¸ĵะ",
+      "ãģ« åĩº",
+      "Ġ+ **************",
+      "ÏĦη κε",
+      "ا جر",
+      "اج ر",
+      "Ġ âĢ²",
+      "ĠâĢ ²",
+      "ãĥ¼ ãĥ¬",
+      "ãĥ¼ãĥ ¬",
+      "é¥ Ń",
+      "Ġج ÙĦس",
+      "ĠجÙĦ س",
+      "Ġب ستÙĩ",
+      "Ġبس تÙĩ",
+      "ว าà¸ĩ",
+      "Ġ βά",
+      "Ġβ ά",
+      "Ġа меÑĢикан",
+      "ĠPr emi",
+      "ĠPre mi",
+      "ĠPrem i",
+      "m ae",
+      "ma e",
+      "ĠÑģ ÑĢеди",
+      "ĠÑģÑĢед и",
+      "Ạł",
+      "Ġв ÑĢед",
+      "ãĢĤ èĢĮ",
+      "åĴ ²",
+      "Ġê³µ ê°ľ",
+      "èĤ ¥",
+      "з виÑĩай",
+      "Ġpro cent",
+      "Ġproc ent",
+      "и лоÑģÑĮ",
+      "ил оÑģÑĮ",
+      "ило ÑģÑĮ",
+      "श न",
+      "é łģ",
+      "éł ģ",
+      "е кÑĤи",
+      "ек ÑĤи",
+      "екÑĤ и",
+      "د اشت",
+      "دا شت",
+      "íķĻ íļĮ",
+      "ãĢĢ ãĢĢãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢ ãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢãĢĢ ĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢãĢĢĠãĢĢ ĠãĢĢ",
+      "ĠÙħد ÙĬÙĨØ©",
+      "िल न",
+      "Ġ èĹ",
+      "Ġè Ĺ",
+      "м иÑĢ",
+      "ми ÑĢ",
+      "Ġн оÑĢ",
+      "Ġно ÑĢ",
+      "Ġ íķĺì§Ģ",
+      "Ġíķĺ ì§Ģ",
+      "в еÑī",
+      "ве Ñī",
+      "nÄĽ m",
+      "е ÑĢами",
+      "еÑĢ ами",
+      "еÑĢа ми",
+      "Ġpra cov",
+      "Ġprac ov",
+      "ĠبÙĬ اÙĨات",
+      "ĠÏĥ Ïįν",
+      "ĠÏĥÏį ν",
+      "Ġج Ø°",
+      "ãģĦ ãģ§",
+      "ĠB ÃŃ",
+      "è± Ĩ",
+      "Ġh mot",
+      "Ġhm ot",
+      "il eceÄŁi",
+      "ilece ÄŁi",
+      "Ġت اث",
+      "Ġتا Ø«",
+      "è´ ´",
+      "Ġ ê¸ī",
+      "Ġê¸ ī",
+      "Ġm ysl",
+      "Ġmy sl",
+      "Ġmys l",
+      "ĠìĿ´ íķ´",
+      "Ġ기 ëĬ¥",
+      "ĠТ ам",
+      "ĠТа м",
+      "ĠнаÑģ елениÑı",
+      "ĠM ez",
+      "ĠMe z",
+      "Ġ모 르",
+      "íĻĶ 를",
+      "ĠÙĨسخ Ùĩ",
+      "ĠتÙĦ ÙĪÛĮزÛĮ",
+      "ĠÄįerv na",
+      "Æ°á» ¡ng",
+      "ص ØŃ",
+      "ĠÑĤ ÑĢен",
+      "ĠÑĤÑĢ ен",
+      "Õ ¡",
+      "Ġce lou",
+      "Ġcel ou",
+      "Å© i",
+      "ìĹĨ ìĿ´",
+      "nÃŃ ku",
+      "nÃŃk u",
+      "Ġprogram u",
+      "à¥į पन",
+      "à¥įप न",
+      "Ġп ÑĢеж",
+      "ĠпÑĢ еж",
+      "ĠпÑĢе ж",
+      "ا رب",
+      "ار ب",
+      "æľŁ éĸĵ",
+      "Ġ μά",
+      "Ġμ ά",
+      "ëįĶ ëĭĪ",
+      "ụ n",
+      "ĠпеÑĢ еÑģÑĤ",
+      "ĠпеÑĢе ÑģÑĤ",
+      "ĠпеÑĢеÑģ ÑĤ",
+      "对 äºİ",
+      "è¿IJ è¡Į",
+      "ĠÑĤ ан",
+      "ĠÑĤа н",
+      "Ġ ìĤ¬ìĿ´íĬ¸",
+      "ĠìĤ¬ ìĿ´íĬ¸",
+      "ĠìĤ¬ìĿ´ íĬ¸",
+      "ĠQu ảng",
+      "ĠQuản g",
+      "Ġst ojÃŃ",
+      "Ġsto jÃŃ",
+      "ãĥŃ ãĥ¼",
+      "گ ار",
+      "Ġе неÑĢг",
+      "Ġkter ým",
+      "Ġkterý m",
+      "ĠпÑĢи мÑĸ",
+      "ĠпÑĢим Ñĸ",
+      "ĠкаÑĢÑĤ и",
+      "ĠкаÑĢ ÑĤи",
+      "Ġz engin",
+      "Ġzen gin",
+      "ï¼Į åĨį",
+      "Ġت رب",
+      "Ġتر ب",
+      "ĠÑĨенÑĤ ÑĢ",
+      "ĠÑĨен ÑĤÑĢ",
+      "ĠsaÄŁ lamak",
+      "ĠsaÄŁlam ak",
+      "ëĭ Ŀ",
+      "ãģ® åŃIJ",
+      "Ġ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "ĠãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "Ġs Æ¡n",
+      "ĠsÆ¡ n",
+      "z ı",
+      "ÑĤ аки",
+      "ÑĤа ки",
+      "ÑĤак и",
+      "ÄĽ stÃŃ",
+      "ÄĽst ÃŃ",
+      "Ġ à¥",
+      "Ġà ¥",
+      "é ®",
+      "åŁ¹ è®Ń",
+      "Ġ ìĶ¨",
+      "ĠìĶ ¨",
+      "Ġbel ki",
+      "ĠìĿ´ 벤íĬ¸",
+      "ëĶĶ ìĸ´",
+      "Ġs Ãłn",
+      "ни кам",
+      "ник ам",
+      "ника м",
+      "a lim",
+      "al im",
+      "ali m",
+      "対 å¿ľ",
+      "ĠS á»±",
+      "éģĵ è·¯",
+      "é«ĺ æ¸ħ",
+      "Ġd õi",
+      "ĠÙĦ ÙĢ",
+      "Ġ èĤ¡",
+      "ĠèĤ ¡",
+      "ν ι",
+      "âĢŀ J",
+      "' nde",
+      "'n de",
+      "Îij Îĵ",
+      "ãģ¨ ãģªãĤĭ",
+      "ãģ¨ãģª ãĤĭ",
+      "çĪ ¸",
+      "ع ÙĦÛĮ",
+      "عÙĦ ÛĮ",
+      "Ïģι ÏĥÏĦ",
+      "ÏģιÏĥ ÏĦ",
+      "Ġe ÄŁit",
+      "ĠeÄŁ it",
+      "Ġзов нÑĸÑĪ",
+      "Ġп ÑĢим",
+      "ĠпÑĢ им",
+      "ĠпÑĢи м",
+      "س Ùħبر",
+      "سÙħ بر",
+      "ĠmÄĽst ÄĽ",
+      "ĠÏĢεÏģι ÏĥÏĥÏĮÏĦε",
+      "ÐIJ Ðł",
+      "æĦŁ åĪ°",
+      "Ġ문 ìĦľ",
+      "ãģĭ ãĤĭ",
+      "ÙĤÙĬ ÙĤØ©",
+      "ÙĤÙĬÙĤ Ø©",
+      "Ġв ÑĤÑĢа",
+      "ĠвÑĤ ÑĢа",
+      "Ġ à¸Ńำ",
+      "Ġà¸Ń ำ",
+      "Ñģ кÑĥÑİ",
+      "Ñģк ÑĥÑİ",
+      "د ÙĩاÛĮ",
+      "دÙĩ اÛĮ",
+      "ĠÄ° st",
+      "ĠÄ°s t",
+      "ĠÐĹ Ð°Ð²",
+      "ĠÐĹа в",
+      "Ġ éĥ½",
+      "Ġé ĥ½",
+      "Ġéĥ ½",
+      "ÑĪ ем",
+      "ÑĪе м",
+      "Ġе ÑīÑij",
+      "ĠÐľÐ¸Ñħ ай",
+      "ĠÑĥпÑĢав лениÑı",
+      "л еннÑĭе",
+      "лен нÑĭе",
+      "ĠzaÄį al",
+      "æ¡ Į",
+      "Ġп Ñĸз",
+      "л ÑıÑĤÑĮÑģÑı",
+      "лÑı ÑĤÑĮÑģÑı",
+      "лÑıÑĤÑĮ ÑģÑı",
+      "Ġ ìŀIJë£Į",
+      "ĠìŀIJ ë£Į",
+      "ãĢĢ ãĢĢĠ",
+      "ãĢĢãĢĢ Ġ",
+      "ĠK ral",
+      "ĠKr al",
+      "ĠKra l",
+      "èĪ ī",
+      "Ġà¤Ń व",
+      "Ġ Ø®Ùħ",
+      "ĠØ® Ùħ",
+      "Ġа кадем",
+      "Ġ isten",
+      "Ġis ten",
+      "Ġi sten",
+      "Ġist en",
+      "ĠиÑģ кÑĥÑģ",
+      "ĠиÑģк ÑĥÑģ",
+      "ĠعÙĨد Ùħا",
+      "Ġا ÙĦاÙħ",
+      "ĠاÙĦ اÙħ",
+      "is mus",
+      "ism us",
+      "ismu s",
+      "Ġayr ıntı",
+      "Ġ Що",
+      "ĠЩ о",
+      "ĠÙĩ ÙĪØ´",
+      "ĠÙĩÙĪ Ø´",
+      "د ÙĪاج",
+      "دÙĪ اج",
+      "л аж",
+      "ла ж",
+      "ĠÚ©ÙĨ ار",
+      "Âł R",
+      "æĢ§ çļĦ",
+      "Ñģ Ñĸм",
+      "ÑģÑĸ м",
+      "ĠM üz",
+      "ĠMü z",
+      "ÑĢ овиÑĩ",
+      "ÑĢов иÑĩ",
+      "ÑĢо виÑĩ",
+      "Ġ Ω",
+      "ĠÎ ©",
+      "Ġìĸ´ ëĶĶ",
+      "س ÙħØ©",
+      "سÙħ Ø©",
+      "Ġ ÑĢÑı",
+      "ĠÑĢ Ñı",
+      "Ġt Æ°Æ¡i",
+      "ĠtÆ° Æ¡i",
+      "ĠÑĢаÑģ Ñħод",
+      "åı° çģ£",
+      "ĠاÙĦ ÙĪÙĤت",
+      "ĠاÙĦÙĪ ÙĤت",
+      "بر اÛĮ",
+      "ĠзÑĢоб иÑĤи",
+      "Ġб ÑĥÑĢ",
+      "ĠбÑĥ ÑĢ",
+      "ĠÄįin nosti",
+      "ĠÄįinnost i",
+      "Ġص اØŃ",
+      "ĠصÙĨ عت",
+      "ĠصÙĨع ت",
+      "Ġ Ø·ÙĦ",
+      "ĠØ· ÙĦ",
+      "ξ Ïį",
+      "ĠtisÃŃ c",
+      "ĠFr ansa",
+      "ĠFran sa",
+      "ì¦ ĺ",
+      "è» ½",
+      "Ñ ĺ",
+      "ÏĮÏĦη ÏĦαÏĤ",
+      "ÏĮÏĦηÏĦα ÏĤ",
+      "ĠM illet",
+      "ĠMill et",
+      "ĠMil let",
+      "ãĢĢ ãĥ¾",
+      "ĠпÑĢ ием",
+      "ĠпÑĢи ем",
+      "ĠترجÙħ Ùĩ",
+      "Ġس ÙĪد",
+      "ĠسÙĪ د",
+      "ĠsouÄįást ÃŃ",
+      "ÐĶ о",
+      "Ġtr ụ",
+      "足 çIJĥ",
+      "à¸Ľ à¸ģ",
+      "Ġu stanov",
+      "ÎŁ ÎĻ",
+      "ÎŁÎ Ļ",
+      "Ðŀ н",
+      "Ġн еж",
+      "Ġне ж",
+      "к ог",
+      "ко г",
+      "ä¸Ģ çĤ¹",
+      "Ġد ÙĪراÙĨ",
+      "ĠدÙĪ راÙĨ",
+      "ĠدÙĪر اÙĨ",
+      "å½± éŁ¿",
+      "el idir",
+      "eli dir",
+      "âĢŀ N",
+      "es iyle",
+      "esi yle",
+      "ÑĢем енно",
+      "ÑĢе менно",
+      "Ġilet iÅŁim",
+      "ม à¹Ģà¸ķ",
+      "以 åīį",
+      "ãĥĭ ãĥ¼",
+      "鼻 話",
+      "à¹Ĥ à¸ŀ",
+      "ov ky",
+      "Ġза мÑĸ",
+      "Ġзам Ñĸ",
+      "Ġव à¤ķ",
+      "Â Ļ",
+      "ĠвÑĸй ни",
+      "Ġol madıģı",
+      "Ġolm adıģı",
+      "Ġolmadı ģı",
+      "Ġolma dıģı",
+      "æ¢ ģ",
+      "ĠТ еп",
+      "ĠТе п",
+      "nÄĽ te",
+      "nÄĽt e",
+      "èħ ķ",
+      "ìĤ¬ ëĬĶ",
+      "m amak",
+      "ma mak",
+      "mam ak",
+      "Ġc iz",
+      "Ġci z",
+      "æ£ Ĵ",
+      "Ġ ï¼ı:",
+      "Ġï¼ı :",
+      "éģĭ åĭķ",
+      "ĠÙĩ ÙĨا",
+      "ĠÙĩÙĨ ا",
+      "Ġ ê°ij",
+      "Ġê° ij",
+      "ĠÙĩÙĨÚ¯ اÙħ",
+      "ĠuÄŁ ra",
+      "å½ ¦",
+      "Ġob jekt",
+      "Ġobj ekt",
+      "ãģ¨ ãģĻãĤĭ",
+      "åĽ½ åĨħ",
+      "ĠдеÑĢжав и",
+      "ĠдеÑĢж ави",
+      "Ġ èĮ",
+      "Ġè Į",
+      "Ġulus lararası",
+      "Ù £",
+      "Ġmut lak",
+      "Ġз обов",
+      "Ġ γεν",
+      "Ġγ εν",
+      "Ġγε ν",
+      "à¹Ħà¸Ł à¸Ł",
+      "Ġözg ür",
+      "íĦ ¸",
+      "Ġвипад кÑĥ",
+      "Ġà¤ķ ब",
+      "ĠاÙĦ خط",
+      "ĠاÙĦØ® Ø·",
+      "θη καν",
+      "ï¼Į æĬĬ",
+      "ÑıÑĤ ÑĤÑı",
+      "Ġolmadı ģını",
+      "Ġolma dıģını",
+      "Âłk W",
+      "ĠnÄĽkter ých",
+      "ãĥĩ ãĥ«",
+      "æ¤į çī©",
+      "μι λοÏĤ",
+      "ÐIJÑĢ ÑħÑĸв",
+      "ĠТ о",
+      "èĸ ¬",
+      "ÑģÑĤв иÑı",
+      "Ġ Ø®ÙĪاست",
+      "ĠØ®ÙĪ است",
+      "олог ÑĸÑĹ",
+      "ÙĪ اÙĩد",
+      "ÙĪاÙĩ د",
+      "ÙĪا Ùĩد",
+      "Ġ нак",
+      "Ġн ак",
+      "Ġна к",
+      "ĠкоÑĤоÑĢ ÑĥÑİ",
+      "Ġद à¤ķ",
+      "âĢŀ M",
+      "λ ια",
+      "λι α",
+      "æŃ ²",
+      "第 åĽĽ",
+      "à¤¾à¤ľ स",
+      "Ġ( «",
+      "Ġth ẻ",
+      "､ Ċ",
+      "ç£ ģ",
+      "Ġ ÙĦÙĤ",
+      "ĠÙĦ ÙĤ",
+      "Ġ ìķĶ",
+      "Ġìķ Ķ",
+      "Ġн ового",
+      "Ġнов ого",
+      "ĠìķĦ 주",
+      "Ġ ëIJĺìĸ´",
+      "ĠëIJĺ ìĸ´",
+      "Ġo lun",
+      "Ġol un",
+      "Ã ¾",
+      "Ġkar iy",
+      "Ġkari y",
+      "ĠØŃ Ø³Ø¨",
+      "ĠØŃس ب",
+      "ĠìĿĺ 미",
+      ". Ðľ",
+      "Ġoz naÄį",
+      "ÙĦ سÙĦ",
+      "ÙĦس ÙĦ",
+      "ĠÐĴ ид",
+      "ĠÐĴи д",
+      "ë¡ľ ëĤĺ",
+      "à¥įà¤Ł म",
+      "í ľ´",
+      "Ġbilg isayar",
+      "ìĿ¸ ì§Ģ",
+      "Ġв ов",
+      "Ġво в",
+      "nict vÃŃm",
+      "nictvÃŃ m",
+      "า à¸Ńย",
+      "าà¸Ń ย",
+      "Ġشخص ÛĮ",
+      "п Ñĸон",
+      "æľ¬ å½ĵ",
+      "Ġب ÙĢ",
+      "ĠмаÑģ ло",
+      "ĠPh át",
+      "Ġ ба",
+      "Ġб а",
+      "алÑĮ номÑĥ",
+      "алÑĮно мÑĥ",
+      "алÑĮном Ñĥ",
+      "社 åĮº",
+      "Ġ Ò",
+      ": ::|",
+      ":: :|",
+      "::: |",
+      "ê ´",
+      "Ġ ä¸ĥ",
+      "Ġä¸ ĥ",
+      "ĠÙĪ اÙĦد",
+      "ĠÙĪاÙĦ د",
+      "ни ке",
+      "ник е",
+      "à¸Ń ลล",
+      "à¸Ńล ล",
+      "Ġyer leÅŁ",
+      "Ġkom bin",
+      "Ġkomb in",
+      "u Å¡",
+      "Ġо ÑĤÑĢи",
+      "ĠоÑĤ ÑĢи",
+      "ä¹ Į",
+      "iÅŁ ti",
+      "Ġs óng",
+      "Ġsó ng",
+      "λ ηÏĤ",
+      "λη ÏĤ",
+      "Ġк ÑĥÑĢÑģ",
+      "ĠкÑĥÑĢ Ñģ",
+      "à¹Ī าà¸Ħ",
+      "à¹Īา à¸Ħ",
+      "Ġ ÙĬس",
+      "ĠÙĬ س",
+      "Ġ داÙħ",
+      "Ġد اÙħ",
+      "çĴ° å¢ĥ",
+      "Ñĩ енко",
+      "Ñĩен ко",
+      "ãĢį ãģ®",
+      "ĠmÃŃ sta",
+      "ĠmÃŃst a",
+      "ĠÑĦ оÑĤ",
+      "ĠpÅĻÃŃ zn",
+      "ĠÑĢ аза",
+      "ĠÑĢаз а",
+      "ĠÑĢа за",
+      "ç´ «",
+      "lá da",
+      "lád a",
+      "ĠÑģпеÑĨи алиÑģÑĤ",
+      "ĠبÛĮ ÙħارÛĮ",
+      "ĠبÛĮÙħ ارÛĮ",
+      "ĠبÛĮÙħار ÛĮ",
+      "Ġëĵ £",
+      "çĭ Ĺ",
+      "ÙĪ ÙĪ",
+      "ан ÑĸÑĤ",
+      "анÑĸ ÑĤ",
+      "ĠدÙĨ باÙĦ",
+      "ĠÙħجÙħÙĪع Ø©",
+      "ÃŃ na",
+      "ÃŃn a",
+      "ĠH alk",
+      "ĠHa lk",
+      "ĠHal k",
+      "á jem",
+      "áj em",
+      "enÃŃ ze",
+      "Ġim z",
+      "« ng",
+      "Ġ ÎķÎł",
+      "ĠÎķ Îł",
+      "ĠÙħ Ùĩد",
+      "ĠÙħÙĩ د",
+      "ìľĦìĽIJ íļĮ",
+      "Ġìľł íĺķ",
+      "ाप स",
+      "Ġje ž",
+      "ан Ñĸз",
+      "анÑĸ з",
+      "иÑĤ ай",
+      "иÑĤа й",
+      "á¿ ĸ",
+      "ir ler",
+      "irl er",
+      "기 ê°Ħ",
+      "Ġ воÑĢ",
+      "Ġв оÑĢ",
+      "Ġво ÑĢ",
+      "Ġ Ïİ",
+      "ĠÏ İ",
+      "Ġpo zn",
+      "Ġpoz n",
+      "Ġ ساÙĨ",
+      "Ġس اÙĨ",
+      "å ¯¿",
+      "å¯ ¿",
+      "æĸ¯ çī¹",
+      "Ġtu rist",
+      "Ġtur ist",
+      "ĠìŀIJ ìľł",
+      "à¥Ģ à¤ĸ",
+      "μ με",
+      "μμ ε",
+      "an sı",
+      "ans ı",
+      "ìĨĮ ëħĦ",
+      "Ġted avi",
+      "Ġtedav i",
+      "Ñĩ еÑģÑĤва",
+      "Ñĩе ÑģÑĤва",
+      "å£ ĵ",
+      "о ве",
+      "ов е",
+      "ï¼Į çľĭ",
+      "ĠпоÑģл Ñĥг",
+      "ĠпоÑģ лÑĥг",
+      "ĠÑĤÑĢ анÑģ",
+      "ĠÑĤÑĢан Ñģ",
+      "Ġz áz",
+      "Ġzá z",
+      "æĪ ´",
+      "Ġм она",
+      "Ġмон а",
+      "Ġмо на",
+      "ิ à¹Ģà¸Ħราะห",
+      "ĠÙĨ ÛĮÙħ",
+      "ĠÙĨÛĮ Ùħ",
+      "ĠìĤ¬ëŀĮ ìĿ´",
+      "a hat",
+      "ah at",
+      "aha t",
+      "Ïħ κ",
+      "ĠоÑĤ каз",
+      "ĠоÑĤк аз",
+      "ĠÐĴолод ими",
+      "ĠС к",
+      "िà¤ķ त",
+      "å¦ ĸ",
+      "Ġëĭ¤ìļ´ ë¡ľëĵľ",
+      "ìĺģ ìĥģ",
+      "Ġन à¤Ī",
+      "c ete",
+      "ce te",
+      "ĠгÑĢи б",
+      "ĠгÑĢ иб",
+      "ece ÄŁini",
+      "eceÄŁi ni",
+      "Ġç oÄŁu",
+      "ĠçoÄŁ u",
+      "ĠмаÑĤеÑĢи ала",
+      "ĠмаÑĤеÑĢиал а",
+      "ứ t",
+      "Ġz aten",
+      "Ġza ten",
+      "Ġzat en",
+      "ĠF RA",
+      "ĠFR A",
+      "ĠBir liÄŁi",
+      "Ġs itesi",
+      "Ġsit esi",
+      "Ġsite si",
+      "Ġsites i",
+      "Ġ åĶ",
+      "Ġå Ķ",
+      "ĠÐĴ ол",
+      "ĠÐĴо л",
+      "Âł PS",
+      "ÂłP S",
+      "ा लत",
+      "ाल त",
+      "Ġ баÑĩ",
+      "Ġб аÑĩ",
+      "Ġба Ñĩ",
+      "алÑĸ заÑĨÑĸÑĹ",
+      "алÑĸз аÑĨÑĸÑĹ",
+      "ĠS lov",
+      "ĠSl ov",
+      "ĠSlo v",
+      "ç³ ĸ",
+      "ĠговоÑĢ иÑĤ",
+      "Ġв вед",
+      "Ġвв ед",
+      "ุà¸ķ à¸ļà¸Ńล",
+      "ãģĨ ãģ¡",
+      "Ġyap tık",
+      "Ġyaptı k",
+      "Ġìłķ ì¹ĺ",
+      "ê°ľ 를",
+      "à¥Ī सल",
+      "à¥Īस ल",
+      "ج ÙĬÙĦ",
+      "جÙĬ ÙĦ",
+      "ĠзаÑģÑĤоÑģ ов",
+      "è¿ «",
+      "ĠKur ul",
+      "ĠNas ıl",
+      "ĠнапÑĢÑı м",
+      "Ġ ä½į",
+      "à¹Į à¸ļ",
+      "Ġ éģĵ",
+      "Ġéģ ĵ",
+      "Ġни же",
+      "Ġниж е",
+      "Ġк оÑģÑĤ",
+      "Ġко ÑģÑĤ",
+      "ĠкоÑģ ÑĤ",
+      "ظ Ùĩر",
+      "ظÙĩ ر",
+      "Т а",
+      "ì§ Ŀ",
+      "Ġön ünde",
+      "ж Ñĸ",
+      "Ġاجر اÛĮ",
+      "Ġاجرا ÛĮ",
+      "ĠоÑĢган Ñĸв",
+      "ĠоÑĢганÑĸ в",
+      "v ise",
+      "vis e",
+      "vi se",
+      "Ġ ìĿĦ",
+      "ĠìĿ Ħ",
+      "à¸ķ รà¸ĩ",
+      "à¸ķร à¸ĩ",
+      "Ú©ÙĨ ÙĪÙĨ",
+      "Ġdlou ho",
+      "Ġdlouh o",
+      "Ðŀ ÐĿ",
+      "Ġ ìľ¡",
+      "Ġìľ ¡",
+      "缮 æłĩ",
+      "ë¯ Ģë¡ľ",
+      "ï¼ıï¼ıï¼ıï¼ı ï¼ıï¼ıï¼ıï¼ı",
+      "ĠпоÑĩ емÑĥ",
+      "æķħ äºĭ",
+      "ÑĤ еÑģÑĮ",
+      "ÑĤе ÑģÑĮ",
+      "ĠÙĤ ÙĦب",
+      "ĠÙĤÙĦ ب",
+      "Ġت جÙĩ",
+      "Ġتج Ùĩ",
+      "i lendir",
+      "il endir",
+      "ilen dir",
+      "Ġи гÑĢа",
+      "Ġиг ÑĢа",
+      "ĠÐĶ он",
+      "ĠÐĶо н",
+      "ĠpÅĻÃŃ jem",
+      "è¦ Ĩ",
+      "С п",
+      "- ни",
+      "on se",
+      "ons e",
+      "и ной",
+      "ин ой",
+      "о Ñĩного",
+      "оÑĩ ного",
+      "оÑĩно го",
+      "ا ساÙĨ",
+      "اس اÙĨ",
+      "ĠполÑĥÑĩ иÑĤÑĮ",
+      "ĠполÑĥ ÑĩиÑĤÑĮ",
+      "ÑĤ ап",
+      "ÑĤа п",
+      "ĠL ý",
+      "ĠÃĤ u",
+      "Ġh üc",
+      "e bek",
+      "eb ek",
+      "ebe k",
+      "ĠY ayın",
+      "æĹ ĭ",
+      "ัà¸Ļ à¸Ĺร",
+      "ัà¸Ļà¸Ĺ ร",
+      "Ġвикон ав",
+      "Ġвико нав",
+      "Ġs ông",
+      "à¥ģ à¤ľ",
+      "à¥ģठľ",
+      "ĠÐĹ Ð°Ð³",
+      "ĠÐĹа г",
+      "¤ ëĭ¤",
+      "Ġc Å©",
+      "ĠÚ¯ رÙħ",
+      "Ġگر Ùħ",
+      "ä¼ ı",
+      "ãģ« ãģĻãĤĭ",
+      "- Ф",
+      "Ġ ÙĤÙħ",
+      "ĠÙĤ Ùħ",
+      "Ġo lacaÄŁ",
+      "Ġol acaÄŁ",
+      "æĿ¥ äºĨ",
+      "æĭĽ èģĺ",
+      "ĠÐĿаÑģ еленнÑı",
+      "Ġ ìĺģìĸ´",
+      "Ġìĺģ ìĸ´",
+      "Ġ æѤ",
+      "ĠæŃ ¤",
+      "Ġب دÙĨ",
+      "Ġبد ÙĨ",
+      "Û² Û¸",
+      "оÑĢ аÑĤив",
+      "оÑĢа ÑĤив",
+      "ï¼ ³",
+      "Ġneby lo",
+      "Ġnebyl o",
+      "ĠÑĥ ÑĩиÑĤ",
+      "ĠÑĥÑĩ иÑĤ",
+      "æĿ ľ",
+      "Ġд анÑĸ",
+      "Ġда нÑĸ",
+      "Ġдан Ñĸ",
+      "Ġsp otÅĻeb",
+      "Ġspot ÅĻeb",
+      "ãĥ¼ ãĥĨãĤ£",
+      "ãĥ¼ãĥĨ ãĤ£",
+      "ен нÑĥÑİ",
+      "ê¹Į ìļĶ",
+      "v em",
+      "ve m",
+      "P ÅĻÃŃ",
+      "PÅĻ ÃŃ",
+      "Ġy andan",
+      "Ġyan dan",
+      "é¼ ĵ",
+      "Ġدست ÙĪر",
+      "Ġدس تÙĪر",
+      "Ġhaf if",
+      "h ů",
+      "Ġv áž",
+      "Ġvá ž",
+      "ĠìķĦ ì§ģ",
+      "Ùı ر",
+      "Ġ ла",
+      "Ġл а",
+      "ëł ī",
+      "า à¸Ľà¸£à¸°",
+      "à¸²à¸Ľ ระ",
+      "lık lar",
+      "lıkla r",
+      "ĠÑģÑĤанд аÑĢÑĤ",
+      "à¸Ń à¹ĥห",
+      "å¥ ´",
+      "ĠоÑĤ п",
+      "âĪ ł",
+      "ãĥ¼ ãĥĢ",
+      "ãĥ¼ãĥ Ģ",
+      "ch áze",
+      "cház e",
+      "Ġê·¸ ëłĩê²Į",
+      "Ġê·¸ëłĩ ê²Į",
+      "os tel",
+      "ost el",
+      "oste l",
+      "Ġгал Ñĥз",
+      "â k",
+      "еÑĨ ÑĤ",
+      "ëŀij ìĬ¤",
+      "ĠÄį ist",
+      "ĠÄįi st",
+      "ÑĢ ана",
+      "ÑĢа на",
+      "ÑĢан а",
+      "Ġv ững",
+      "Ġvữ ng",
+      "Ġs eni",
+      "Ġse ni",
+      "Ġsen i",
+      "Ġg óc",
+      "Ġgó c",
+      "ÏĨ ÏĮ",
+      "á nu",
+      "án u",
+      "Ġ öt",
+      "Ġö t",
+      "Ġs óc",
+      "Ġsó c",
+      "ãģĦ ãģ®",
+      "ĠÑģк лада",
+      "ĠÑģклад а",
+      "ÐIJÑĢÑħÑĸв овано",
+      "ĠìĿ´ ë²Ī",
+      "ãĤ¹ ãģ®",
+      "il ebilir",
+      "ile bilir",
+      "ï½Ģ ãĥ½",
+      "ีย à¸į",
+      "Ġκα ὶ",
+      "Ġë ¯¿",
+      "æĽ´ å¤ļ",
+      "ıs ının",
+      "ısını n",
+      "ĠGi ám",
+      "ĠGiá m",
+      "æŃ£ å¼ı",
+      "Ïĥ μÏĮ",
+      "Ïĥμ ÏĮ",
+      "Ġarch it",
+      "Ġarc hit",
+      "Ġ ï½²",
+      "Ġï½ ²",
+      "Ñĩ аÑİÑĤÑģÑı",
+      "Ñĩа ÑİÑĤÑģÑı",
+      "ÑĩаÑİÑĤ ÑģÑı",
+      "ë²Ħ ì§Ģ",
+      "ãĤ¤ ãĥ¤",
+      "é«ĺ æł¡",
+      "è¨ ³",
+      "ĠÙħ ÛĮÚ©",
+      "ĠÙħÛĮ Ú©",
+      "Ġ æĥħ",
+      "Ġæĥ ħ",
+      "Ġ pha",
+      "Ġp ha",
+      "Ġph a",
+      "太 éĥİ",
+      "à¸ŀระ ราà¸Ĭ",
+      "ÙĤ ÙĬØ©",
+      "ÙĤÙĬ Ø©",
+      "ĠÑĥ лÑĥÑĩ",
+      "ĠÑĥл ÑĥÑĩ",
+      "ÑģÑĤв ÑĥеÑĤ",
+      "ÑģÑĤвÑĥ еÑĤ",
+      "Ġk eÅŁ",
+      "Ġke ÅŁ",
+      "é«ĺ çŃī",
+      "Ġs Ỽm",
+      "Ïģ κε",
+      "Ïģκ ε",
+      "μ οÏģ",
+      "μο Ïģ",
+      "Ġzá stup",
+      "o zÃŃ",
+      "oz ÃŃ",
+      "Ġm ili",
+      "Ġmil i",
+      "Ġmi li",
+      "Ġмог ли",
+      "Ġз ÑĢозÑĥм",
+      "Ġباش ÛĮد",
+      "Ġak ci",
+      "Ġд ÑĢа",
+      "ĠдÑĢ а",
+      "Ġα Ïģι",
+      "ĠαÏģ ι",
+      "ãģĭ ãĤīãģ®",
+      "ãģĭãĤī ãģ®",
+      "å¯ Ĵ",
+      "ĠZ aman",
+      "ĠZa man",
+      "ĠZam an",
+      "ĠÑĸ де",
+      "ĠÑĸд е",
+      "Ġ ãĢĢĠ",
+      "ĠãĢĢ Ġ",
+      "Ġk lu",
+      "Ġkl u",
+      "ak lı",
+      "à¥ĩ à¤ļ",
+      "à¥ĩठļ",
+      "ĠÑģвоб од",
+      "س اÙħ",
+      "Ġ ов",
+      "Ġо в",
+      "Ġu byt",
+      "Ġub yt",
+      "éĩĩ çĶ¨",
+      "Ġdavran Ä±ÅŁ",
+      "ĠnabÃŃ zÃŃ",
+      "ĠÐij Ñĥд",
+      "Ġ Ïī",
+      "ĠÏ ī",
+      "ĠاÙĦ رØŃ",
+      "ĠاÙĦر ØŃ",
+      "ั à¸ķà¸Ļ",
+      "ัà¸ķ à¸Ļ",
+      "и ме",
+      "им е",
+      "Ġت ÙĦÙĥ",
+      "ĠتÙĦ Ùĥ",
+      "ت Ùħع",
+      "تÙħ ع",
+      "Ġад миниÑģÑĤÑĢа",
+      "Ġzor unda",
+      "Ġzorun da",
+      "ĠÙĨ سبة",
+      "ĠÙĨسب Ø©",
+      "ĠÙĨس بة",
+      "ĠصÙĨع تÛĮ",
+      "ĠصÙĨعت ÛĮ",
+      "ĠÑĦÑĥн да",
+      "éı ¡",
+      "Ġpo tom",
+      "Ġpot om",
+      "Ġп ÑĢеÑģÑĤ",
+      "ĠпÑĢ еÑģÑĤ",
+      "ĠпÑĢе ÑģÑĤ",
+      "ĠпÑĢеÑģ ÑĤ",
+      "Ġsı rada",
+      "Ġsır ada",
+      "Ġsıra da",
+      "Ġ ayar",
+      "Ġa yar",
+      "Ġay ar",
+      "ا ÙĤÙĦ",
+      "اÙĤ ÙĦ",
+      "æº ª",
+      "ĠØ¢ÙĤ اÛĮ",
+      "ĠпеÑĢе Ñħод",
+      "ĠпÑĢакÑĤи ÑĩеÑģки",
+      "é» ĥ",
+      "ĠÑĥ Ñħод",
+      "ĠÑĥÑħ од",
+      "ĠÙħ تÙģ",
+      "ĠÙħت Ùģ",
+      "Ġsiyas i",
+      "Ġпо ÑĤен",
+      "ĠпоÑĤ ен",
+      "Ùİ Ùģ",
+      "ĠÐĽ Ñĥ",
+      "ĠконÑĤÑĢ олÑĮ",
+      "ĠÑģказ аÑĤÑĮ",
+      "à¥Ģ à¤ķरण",
+      "à¥Ģà¤ķ रण",
+      "åħ¨ çIJĥ",
+      "Û² Û¶",
+      "Ġt oto",
+      "Ġto to",
+      "Ġtot o",
+      "Ġ ÙĪد",
+      "ĠÙĪ د",
+      "ãĤ¿ãĤ¤ ãĥĹ",
+      "åľ į",
+      "å¼ķ çĶ¨",
+      "ï¼ £",
+      "èĬ ¸",
+      "ä»ĭ ç»į",
+      "ĠÑĤеÑĢÑĢиÑĤоÑĢ ии",
+      "æĹ¥ ãģ«",
+      "m ÃŃt",
+      "mÃŃ t",
+      "am ız",
+      "amı z",
+      "ìĿ´ ìĸ´",
+      "Ġyar Ä±ÅŁ",
+      "Ġyarı ÅŁ",
+      "Ġg üc",
+      "Ġgü c",
+      "Ġ Ïĩα",
+      "ĠÏĩ α",
+      "ัà¸Ļย ายà¸Ļ",
+      "ãĤĴ è¡Į",
+      "Ġm illi",
+      "Ġmill i",
+      "Ġmil li",
+      "Ġmi lli",
+      "Ġ çı¾",
+      "Ġçı ¾",
+      "K dyž",
+      "m azon",
+      "ma zon",
+      "maz on",
+      "ë³´ ëĤ´ê¸°",
+      "ĠÑĤÑĢÑĥ дов",
+      "ĠÑĤÑĢÑĥд ов",
+      "é£ ¾",
+      "Ġви ник",
+      "Ġвин ик",
+      "ĠÙĪز ارت",
+      "ĠÙĪزار ت",
+      "éĩĮ çļĦ",
+      "м аз",
+      "ма з",
+      "ĠR US",
+      "ĠRU S",
+      "е кÑĤÑĥ",
+      "ек ÑĤÑĥ",
+      "екÑĤ Ñĥ",
+      "Ġع اش",
+      "Ġk once",
+      "Ġko nce",
+      "Ġkon ce",
+      "ãĤĪãģĨ ãģ§ãģĻ",
+      "Ġмал ÑĭÑĪ",
+      "m eni",
+      "me ni",
+      "men i",
+      "е Ñģа",
+      "еÑģ а",
+      "ا ضÛĮ",
+      "اض ÛĮ",
+      "Ġb rat",
+      "Ġbr at",
+      "Ġbra t",
+      "ĠвÑĸд ноÑģ",
+      "θ εÏģ",
+      "θε Ïģ",
+      "ĠЧ ем",
+      "æij ĩ",
+      "ĠÙħ ادر",
+      "ĠÙħا در",
+      "ĠÙħاد ر",
+      "çĶ¨ åĵģ",
+      "ĠÙħØŃ Ø§Ùģظ",
+      "Ġm yÅ¡",
+      "Ġmy Å¡",
+      "ج ع",
+      "Ġis im",
+      "Ġi sim",
+      "Ġisi m",
+      "æ³ Ĭ",
+      "ıl maz",
+      "ĠÎĽ α",
+      "å¯ ©",
+      "Ġay ır",
+      "е ними",
+      "ен ими",
+      "ени ми",
+      "еним и",
+      "à¥ĩह तर",
+      "åľ Ĩ",
+      "ãģ¾ ãģ£ãģŁ",
+      "çĶ¢ åĵģ",
+      "ĠÑĸнÑĦоÑĢма ÑĨÑĸÑĹ",
+      "Ġt ủ",
+      "Ġtá» §",
+      "สม à¸ļ",
+      "Ġst ÅĻ",
+      "Ġë°ľ íijľ",
+      "а ÑĢÑĮ",
+      "аÑĢ ÑĮ",
+      "ĠC ao",
+      "ĠCa o",
+      "Ρ ÎĻ",
+      "à¸ģาร à¸Ī",
+      "Ġпод Ñĥм",
+      "ä»ķ äºĭ",
+      "ĠÐļ ÑĢоме",
+      "Ġ ìĹĶ",
+      "ĠìĹ Ķ",
+      "Ġ Ñĥда",
+      "ĠÑĥ да",
+      "ĠÑĥд а",
+      "ĠавÑĤом аÑĤи",
+      "Ġ à¸Ħà¸ĵะ",
+      "Ġà¸Ħ à¸ĵะ",
+      "ĠK iÅŁ",
+      "ĠKi ÅŁ",
+      "ĠÑģоÑģÑĤоÑı ние",
+      "l isi",
+      "li si",
+      "lis i",
+      "Ġëĸ ¨ìĸ´",
+      "oot ball",
+      "Ġ íį¼",
+      "Ġí į¼",
+      "Ġ лим",
+      "Ġл им",
+      "Ġли м",
+      "Ġç erç",
+      "ÙĪÙĦ ÙĬÙĪ",
+      "ÙĪÙĦÙĬ ÙĪ",
+      "Ġs lož",
+      "Ġsl ož",
+      "Ġslo ž",
+      "Ġ 먼",
+      "Ġë¨ ¼",
+      "ร à¸Ńà¸ĩ",
+      "ÑĪ ее",
+      "ÑĪе е",
+      "âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦ âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦",
+      "ãģĵ ãģ¡ãĤī",
+      "о ÑĢÑĭ",
+      "оÑĢ Ñĭ",
+      "çĥ Ł",
+      "Âł F",
+      "а ного",
+      "ан ого",
+      "ано го",
+      "Ø« ÛĮر",
+      "çı į",
+      "å¸Ĥ åł´",
+      "vÄĽ dom",
+      "vÄĽd om",
+      "ì² ¨ë¶Ģ",
+      "ĠìĤ¬ ê±´",
+      "ï¾ Į",
+      "à¹ĥ à¸Ļว",
+      "à¹ĥà¸Ļ ว",
+      "Ġzvlá Å¡t",
+      "ÏĦ εÏħ",
+      "ÏĦε Ïħ",
+      "Ġкак ие",
+      "Ġка кие",
+      "ÏĨοÏģ ά",
+      "ÏĨο Ïģά",
+      "åĦ Ħ",
+      "Ġzp ÄĽt",
+      "íķľ íħĮ",
+      "Ġz vol",
+      "Ġzv ol",
+      "Ġ çĹ",
+      "Ġç Ĺ",
+      "ÑĢа нениÑı",
+      "ÑĢан ениÑı",
+      "ĠسÛĮ است",
+      "ĠÐļ оли",
+      "ĠÐļол и",
+      "ĠÐļо ли",
+      "ĠоÑĢганиз ма",
+      "ĠоÑĢганизм а",
+      "ĠÑıнва ÑĢÑı",
+      "Ġد ادÙĨ",
+      "Ġداد ÙĨ",
+      "п ÑĢа",
+      "пÑĢ а",
+      "ï¼Į ä»ĸ们",
+      "ï¼Įä»ĸ 们",
+      "æijĺ è¦ģ",
+      "Ġqu ần",
+      "ÙĬ ÙĪÙĨ",
+      "ÙĬÙĪ ÙĨ",
+      "Ġви Ñħов",
+      "Âł à¹Ģà¸Ķ",
+      "Ġ елем",
+      "Ġе лем",
+      "eb ilecek",
+      "Ġд оÑĩ",
+      "Ġдо Ñĩ",
+      "Ġб лаг",
+      "Ġбл аг",
+      "Ġбла г",
+      "ĠÑı й",
+      "ad nÃŃ",
+      "Ġzá roveÅĪ",
+      "en stvÃŃ",
+      "âĢĮ اÙĨ",
+      "ãģķãĤĵ ãģ¯",
+      "/ |",
+      "ĠاÙĦع اÙħØ©",
+      "ĠاÙĦعاÙħ Ø©",
+      "éł ¼",
+      "Ġخدا ÙĪÙĨد",
+      "Ġخد اÙĪÙĨد",
+      "н ам",
+      "на м",
+      "ĠÑģ лиз",
+      "ĠÑģл из",
+      "æ¶ ī",
+      "ร ษ",
+      "e ÅŁtir",
+      "eÅŁ tir",
+      "ĠÙĨ دار",
+      "ĠÙĨد ار",
+      "ร าà¸Ħ",
+      "è¨Ģ ãĤı",
+      "Ġ èŃ",
+      "Ġè Ń",
+      "Ġк ÑĢиÑĤ",
+      "ĠкÑĢи ÑĤ",
+      "ĠвоздÑĥ Ñħа",
+      "ĠвоздÑĥÑħ а",
+      "Ġà¤Ĺ त",
+      "Ġprá vo",
+      "Ġpráv o",
+      "à¥ĭष ण",
+      "Ġs ắp",
+      "íı Ń",
+      "Ġص رÙģ",
+      "ĠراÛĮ گاÙĨ",
+      "ĠоÑĤ к",
+      "ëĨ ĵ",
+      "ĠÑģек ÑĢеÑĤ",
+      "Ä° n",
+      "on avir",
+      "ona vir",
+      "ĠV ys",
+      "ĠVy s",
+      "ĠbaÅŁ lat",
+      "ĠMu ham",
+      "ĠлиÑģÑĤ оп",
+      "ĠT icaret",
+      "ĠTi caret",
+      "ĠTic aret",
+      "Ġad landır",
+      "ĠÐĶ миÑĤ",
+      "Ïĥμ οÏį",
+      "Ïĥμο Ïį",
+      "ä¾ µ",
+      "ìĭľ ëĬĶ",
+      "à¹ģà¸Ľ ลà¸ĩ",
+      "ın ıza",
+      "ını za",
+      "ınız a",
+      "- г",
+      "и ÑĩноÑĹ",
+      "иÑĩ ноÑĹ",
+      "иÑĩно ÑĹ",
+      "Ñĥ ÑĢи",
+      "ÑĥÑĢ и",
+      "U Z",
+      "ìĽ ł",
+      "Ġتبد ÛĮÙĦ",
+      "æ º«",
+      "æº «",
+      "ĠÑĢам каÑħ",
+      "Ġn ét",
+      "Ġné t",
+      "æ² ¿",
+      "Ġroz Å¡ÃŃ",
+      "Ġस प",
+      "ĠÑĤак е",
+      "ĠÑĤа ке",
+      "ÑĢ аÑĩ",
+      "ÑĢа Ñĩ",
+      "ĠاÙĦ ÙĤد",
+      "ĠاÙĦÙĤ د",
+      "íķĻ ê³¼",
+      "Ñĥв аннÑıм",
+      "ÑĥваннÑı м",
+      "Ġm ám",
+      "Ġmá m",
+      "ë¡ ¯",
+      "á½ IJ",
+      "Ġet kili",
+      "Ġetk ili",
+      "Ġetkil i",
+      "Ġetki li",
+      "Ġار تÙģ",
+      "Ġtechn olog",
+      "Ġtechno log",
+      "Ġ ì½ĺ",
+      "Ġì½ ĺ",
+      "Ġت ÙĥÙĬÙĬÙģ",
+      "ĠpÅĻ ece",
+      "ĠpÅĻe ce",
+      "家 åºŃ",
+      "Ġ ãģı",
+      "âĶ ´",
+      "íģ ¼",
+      "ĠÎľ ά",
+      "à¹Ģ à¸ķร",
+      "à¹Ģà¸ķ ร",
+      "ĠÑģÑĤанов иÑĤÑģÑı",
+      "ç«ĭ ãģ¡",
+      "Ġ éĸĭ",
+      "Ġéĸ ĭ",
+      "ĠÄ° yi",
+      "ĠnÄĽkter é",
+      "ĠÑĢоб оÑĤ",
+      "ĠÄIJ Æ°á»Ŀng",
+      "ĠاÙĦ اج",
+      "Ġsp eci",
+      "Ġspec i",
+      "Ġspe ci",
+      "çī¹ åĪ«",
+      "åŃ Ŀ",
+      "âĢĮ گذ",
+      "âĢĮÚ¯ Ø°",
+      "a lıģı",
+      "al ıģı",
+      "alı ģı",
+      "Ġм иÑĢа",
+      "Ġми ÑĢа",
+      "ĠмиÑĢ а",
+      "í İĺìĿ´ì§Ģ",
+      "íİĺ ìĿ´ì§Ģ",
+      "Ø® Ùģ",
+      "ãĤª ãĥª",
+      "Ġس ÛĮÙħ",
+      "ĠسÛĮ Ùħ",
+      "Ġìĸ´ ëĬIJ",
+      "алÑĮ нÑĥ",
+      "Ñĩ ний",
+      "ümüz de",
+      "æĻº èĥ½",
+      "ý n",
+      "ĠتÙĤÙĪ ÛĮت",
+      "Ġп ÑĢиг",
+      "ĠпÑĢ иг",
+      "ĠпÑĢи г",
+      "ĠгÑĢÑĥпп Ñĭ",
+      "am ı",
+      "γ οÏį",
+      "γο Ïį",
+      "оÑĢ ÑĤÑĥ",
+      "оÑĢÑĤ Ñĥ",
+      "ĠG iang",
+      "ĠGi ang",
+      "ĠGian g",
+      "ĠGia ng",
+      "ÅĻ en",
+      "ÅĻe n",
+      "Ġokol ÃŃ",
+      "产 ä¸ļ",
+      "Ġ зм",
+      "Ġз м",
+      "Ġ é¾",
+      "Ġé ¾",
+      "ÙĬ ار",
+      "ÙĬا ر",
+      "ĠاÙĦØ´ÙĬ Ø®",
+      "иÑĤелÑĮ нÑĭй",
+      "Ġ اÙĩÙħ",
+      "Ġا ÙĩÙħ",
+      "ĠاÙĩ Ùħ",
+      "ĠباÙĦ رÙĬاض",
+      "ĠÙ¾ÛĮ اÙħ",
+      "Ġk redi",
+      "Ġkr edi",
+      "Ġkre di",
+      "Ġkred i",
+      "ĠA rap",
+      "ĠAr ap",
+      "ĠAra p",
+      "Ġ ÑĢаб",
+      "ĠÑĢ аб",
+      "ĠÑĢаР±",
+      "ĠÑĢа б",
+      "ĠнекоÑĤоÑĢ ÑĭÑħ",
+      "ĠØŃاÙģظ Ùĩ",
+      "иÑĤелÑĮ ного",
+      "иÑĤелÑĮно го",
+      "Ġgerek mektedir",
+      "ĠD eniz",
+      "ĠDen iz",
+      "ĠتÙĦ اش",
+      "st agram",
+      "sta gram",
+      "stag ram",
+      "áv ky",
+      "åĬł åħ¥",
+      "oz or",
+      "ozo r",
+      "Ġdurum unda",
+      "Ġdurumu nda",
+      "Ġíıī ëĭ¹",
+      "Ġ ë´ī",
+      "Ġë´ ī",
+      "Ġp enÄĽ",
+      "Ġpe nÄĽ",
+      "Ġpen ÄĽ",
+      "Ú¯ اÙĨÛĮ",
+      "گاÙĨ ÛĮ",
+      "ĠK up",
+      "ĠKu p",
+      "Ġ ÑĨеÑĢ",
+      "ĠÑĨ еÑĢ",
+      "ĠÑĨе ÑĢ",
+      "ul ması",
+      "âij ł",
+      "ĠÑģÑĸÑĩ нÑı",
+      "ım ıza",
+      "ımız a",
+      "ımı za",
+      "å®ļ çļĦ",
+      "Âł ÑĤ",
+      "åĬŀ åħ¬",
+      "ìľ¼ ëĭĪ",
+      "ĠاÙĦ Ø¥ÙĨ",
+      "ĠاÙĦØ¥ ÙĨ",
+      "Ġ çĥ",
+      "Ġç ĥ",
+      "ãĢį ï¼Į",
+      "ÑĹ Ð½Ð°",
+      "ĠпÑĢигоÑĤов лениÑı",
+      "Ð ħ",
+      "ĠÑģ олн",
+      "ĠÑģол н",
+      "Ġë¶Ģ ìĤ°",
+      "æħ ¶",
+      "ãĤ ¾",
+      "v oje",
+      "vo je",
+      "voj e",
+      "ÛĮ دÙĨ",
+      "ÛĮد ÙĨ",
+      "ìĥĿ ëĭĺ",
+      "ç¹ ģ",
+      "á du",
+      "ád u",
+      ": ::::::::::::::",
+      ":: :::::::::::::",
+      ":::: :::::::::::",
+      ":::::: :::::::::",
+      ":::::::: :::::::",
+      "::: ::::::::::::",
+      "::::: ::::::::::",
+      "::::::: ::::::::",
+      "::::::::: ::::::",
+      ":::::::::: :::::",
+      "::::::::::: ::::",
+      ":::::::::::: :::",
+      "::::::::::::: ::",
+      ":::::::::::::: :",
+      "س ÙĨÚ¯",
+      "سÙĨ Ú¯",
+      "éĶ ĭ",
+      "Ġ звиÑĩай",
+      "Ġз виÑĩай",
+      "å§Ķåijĺ ä¼ļ",
+      "ĠμÎŃ Ïĥα",
+      "ĠÑĢ ождениÑı",
+      "æĪIJ 人",
+      "Ġ dÃŃl",
+      "Ġd ÃŃl",
+      "ĠdÃŃ l",
+      "ĠÐĶ об",
+      "ĠÐĶо б",
+      "Ġ à¹ĥà¸Ĭ",
+      "ÏĢ ί",
+      "g amber",
+      "gam ber",
+      "ĠÙĪÛĮÚĺ Ú¯ÛĮ",
+      "Ġ èĬ±",
+      "ĠèĬ ±",
+      "Ġb Ãły",
+      "ĠbÃł y",
+      "ĠжовÑĤ нÑı",
+      "åħ¬ å¼Ģ",
+      "ĠÑĤ оÑĩки",
+      "ĠÑĤо Ñĩки",
+      "ĠÑĤоÑĩ ки",
+      "ãģĤ ãģ®",
+      "а лÑĸв",
+      "ал Ñĸв",
+      "алÑĸ в",
+      "Ġch arakter",
+      "Ġchar akter",
+      "ĠÎĴ α",
+      "Ġzku Å¡en",
+      "Ġà¤Ńà¤Ĺ व",
+      "Ñĩ ика",
+      "Ñĩи ка",
+      "Ñĩик а",
+      "à¥Ģà¤Ĥ ।",
+      "è£ ı",
+      "åijĬ è¯ī",
+      "iy atı",
+      "iya tı",
+      "iyat ı",
+      "ĠÑĨ елÑĮ",
+      "ĠÑĨе лÑĮ",
+      "ĠÑĨел ÑĮ",
+      "Ġ ìĬĪ",
+      "ĠìĬ Ī",
+      "а ÑĢд",
+      "аÑĢ д",
+      "ĠÃľl ke",
+      "Ġpro since",
+      "Ġpros ince",
+      "ĠÙĨ گاÙĩ",
+      "ĠÙĨÚ¯ اÙĩ",
+      "ãĢĮ ãģĬ",
+      "Σ Τ",
+      "ÎŁÎ ¤",
+      "ìĦľ ëĬĶ",
+      "ÙĪ گر",
+      "ض اÙĨ",
+      "ضا ÙĨ",
+      "Ġdů sled",
+      "çIJ ´",
+      "à¸ķำ à¹ģหà¸Ļ",
+      "к ÑĤÑĸв",
+      "кÑĤ Ñĸв",
+      "lád á",
+      "á¿ Ĩ",
+      "ĠD oÄŁu",
+      "ĠDo ÄŁu",
+      "ĠDoÄŁ u",
+      "ãģij ãĤĮãģ°",
+      "缮 ãĤĴ",
+      "Ġ 缴",
+      "ĠçĽ ´",
+      "æ Ľ°",
+      "æĽ °",
+      "ĠвÑĤоÑĢ ой",
+      "Ġг лÑĥ",
+      "ĠìĿ ½",
+      "기 ì¤Ģ",
+      "Ġma dde",
+      "Ġmad de",
+      "Ġmadd e",
+      "Ġjed né",
+      "Ġjedn é",
+      "Ġо ÑĦÑĸ",
+      "ìĭĿ ìĿĦ",
+      "Ġch út",
+      "Ġchú t",
+      "åĩº ãģĹãģŁ",
+      "åĩºãģĹ ãģŁ",
+      "и ÑĩеÑģкаÑı",
+      "иÑĩеÑģ каÑı",
+      "Ġ лок",
+      "Ġл ок",
+      "Ġal tı",
+      "Ġalt ı",
+      "ëĵľ ëĬĶ",
+      "ey gamber",
+      "ĠÑģв ое",
+      "ĠÑģво е",
+      "ĠtaÅŁ ım",
+      "ĠÑĤо Ñīо",
+      "Ġgeç ti",
+      "Ġpr emi",
+      "Ġpre mi",
+      "Ġprem i",
+      "ĠMeh met",
+      "ï¼Į åĽłæѤ",
+      "ï¼ĮåĽł æѤ",
+      "ί κη",
+      "ίκ η",
+      "Ġönce ki",
+      "Ġönc eki",
+      "Ġ à¤ķन",
+      "Ġà¤ķ न",
+      "ĠÑĤемп еÑĢаÑĤÑĥÑĢа",
+      "ĠÑĤемпеÑĢаÑĤÑĥ ÑĢа",
+      "éĺ ´",
+      "Ġìĸ¼ ë§Ī",
+      "ش ب",
+      "á ky",
+      "ák y",
+      "ãĢĢ V",
+      "воÑĢ еннÑı",
+      "l asyon",
+      "las yon",
+      "Ġд оказ",
+      "Ġдо каз",
+      "Ġдок аз",
+      "Ġëľ »",
+      "Ġоб лиÑĩ",
+      "Ġобл иÑĩ",
+      "ÎĻ ÎijÎļ",
+      "ÎĻÎij Îļ",
+      "Ġ ÑĢазд",
+      "ĠÑĢаз д",
+      "ĠÑĢа зд",
+      "ï¼Į 为",
+      "å® ½",
+      "Ġk orum",
+      "Ġko rum",
+      "Ġkor um",
+      "åķĬ åķĬ",
+      "ĠÅĻe kla",
+      "ĠÅĻekl a",
+      "ĠÅĻek la",
+      "ãĥĹ ãĥ¬",
+      "Ġв аÑĢÑĤ",
+      "ĠваÑĢ ÑĤ",
+      "ĠпÑĢоблем Ñĭ",
+      "Ġ ä½ł",
+      "Ġth Æ¡m",
+      "Ġta kové",
+      "Ġtak ové",
+      "Ġtako vé",
+      "л енÑĭ",
+      "лен Ñĭ",
+      "ле нÑĭ",
+      "Ġ åĪ¶",
+      "ĠåĪ ¶",
+      "Ġji ných",
+      "Ġjin ých",
+      "Ġjiný ch",
+      "ĠÙĨ ص",
+      "ĠгÑĢÑĥд нÑı",
+      "Ġ ãģĹ",
+      "иÑĤелÑĮ ной",
+      "иÑĤелÑĮно й",
+      "ĠاØŃ ØªÙħ",
+      "Ñİ ÑĢ",
+      "ÏĨ Ïħ",
+      "Ġ Ø´ÙħاÙĦÛĮ",
+      "ĠØ´Ùħ اÙĦÛĮ",
+      "ĠØ´Ùħا ÙĦÛĮ",
+      "ĠØ´ÙħاÙĦ ÛĮ",
+      "Ġ ì»´",
+      "Ġì» ´",
+      "acaģ ız",
+      "acaģı z",
+      "ì§Ģ ë§ī",
+      "ĠÑĦин анÑģов",
+      "Ġ ê·¹",
+      "Ġê· ¹",
+      "ĠÚĨ ÛĮزÛĮ",
+      "ĠÚĨÛĮز ÛĮ",
+      "à¥Ģ à¤Ľ",
+      "ص ات",
+      "ान म",
+      "Ġв озможно",
+      "Ġвозмож но",
+      "è¨ İ",
+      "çĦ ¦",
+      "ĠاÙĦبÙĦ د",
+      "Ġ çĶ³åįļ",
+      "ç¥ ¥",
+      "Ġë°Ķ ëĿ¼",
+      "Ú¯ ÛĮر",
+      "Ú¯ÛĮ ر",
+      "Ûµ Û°",
+      "μι οÏħÏģγ",
+      "ĠpÅĻed sed",
+      "ç»ı èIJ¥",
+      "å§ ij",
+      "e mey",
+      "em ey",
+      "eme y",
+      "ĠÙĨ ÙĪÙģ",
+      "ĠÙĨÙĪ Ùģ",
+      "å¾ ½",
+      "Ġprá va",
+      "Ġpráv a",
+      "Ġво обÑīе",
+      "Ġ íĭ°",
+      "Ġíĭ °",
+      "Ġب Ø£ÙĨ",
+      "Ġبأ ÙĨ",
+      "ĠFr anti",
+      "ĠFran ti",
+      "ĠP aÅŁa",
+      "ĠPa ÅŁa",
+      "ĠÙ¾ ست",
+      "Ġپس ت",
+      "k ân",
+      "ĠÑģиг н",
+      "Ġd ần",
+      "æ IJľ",
+      "æIJ ľ",
+      "Ġr oky",
+      "Ġro ky",
+      "Ġrok y",
+      "Ùĥ ÙĪر",
+      "ÙĥÙĪ ر",
+      "ĠÎĶ ή",
+      "али заÑĨии",
+      "ализ аÑĨии",
+      "ализа ÑĨии",
+      "ä¼ł å¥ĩ",
+      "ı da",
+      "lÃŃ b",
+      "ĠÑĢÑĸв нÑı",
+      "Ġн оÑı",
+      "Ġно Ñı",
+      "bÄĽ hu",
+      "bÄĽh u",
+      "ิà¸ĩห าà¸Ħม",
+      "ï¼Į åį´",
+      "Ġ ÑĩеÑģ",
+      "ĠÑĩ еÑģ",
+      "lan mÄ±ÅŁtır",
+      "lanmÄ±ÅŁ tır",
+      "Ġ Æ°á»Ľc",
+      "áv acÃŃ",
+      "ีฬ า",
+      "δ ÎŃ",
+      "âĢĮØ´ ÙĪÙĨد",
+      "Ġ ÑĢобÑĸÑĤ",
+      "ĠÑĢоб ÑĸÑĤ",
+      "Ġ å·´",
+      "Ġå· ´",
+      "ĠM ev",
+      "ĠMe v",
+      "ĠÙħرØŃ ÙĦÙĩ",
+      "Ġвз ÑĢоÑģ",
+      "ç½ ļ",
+      "Ġب اÙĦÙħ",
+      "Ġبا ÙĦÙħ",
+      "ĠباÙĦ Ùħ",
+      "Ġиз гоÑĤов",
+      "ĠS por",
+      "ĠSp or",
+      "ĠSpo r",
+      "åĦ Ģ",
+      "ĠاÙĦ Ø£ÙĨ",
+      "ĠاÙĦØ£ ÙĨ",
+      "à¹Īา à¸ĩà¸ģ",
+      "à¹Īาà¸ĩ à¸ģ",
+      "л аÑģÑĤи",
+      "ла ÑģÑĤи",
+      "лаÑģ ÑĤи",
+      "ÎŁ Îļ",
+      "ÎŁÎ ļ",
+      "Ġ Ú©ÛĮ",
+      "ĠÚ© ÛĮ",
+      "åij½ 令",
+      "ØŃ Ø¯Ø«",
+      "ØŃد Ø«",
+      "ÙĬ ÙĥÙĬ",
+      "ÙĬÙĥ ÙĬ",
+      "ĠпеÑĢв Ñĭй",
+      "ãĤ¹ ãĤ³",
+      "ĠÅ¡ pat",
+      "ĠÅ¡p at",
+      "Ġnik do",
+      "ั à¸ĩม",
+      "ัà¸ĩ ม",
+      "èµ «",
+      "æĺ ¨",
+      "Ġв Ñĥли",
+      "ĠвÑĥл и",
+      "ĠÐļ а",
+      "à¹Ī ละ",
+      "Ġsa mot",
+      "Ġsam ot",
+      "Ġsamo t",
+      "ĠобеÑģп е",
+      "ĠÙħعرÙģ ÛĮ",
+      "ĠÙħØŃصÙĪÙĦ ات",
+      "в анов",
+      "ва нов",
+      "ван ов",
+      "вано в",
+      "ĠÙħستÙĤ ÛĮÙħ",
+      "å¢ Ļ",
+      "Âł Ðļ",
+      "Ġд оÑĤ",
+      "Ġдо ÑĤ",
+      "z im",
+      "zi m",
+      "ÙIJ ر",
+      "Ġ Ø´ÙĪ",
+      "ĠØ´ ÙĪ",
+      "åľ¨ åľ°",
+      "Ġ çİ°",
+      "Ġçİ °",
+      "Ġ åĮĸ",
+      "ĠåĮ ĸ",
+      "ز ÙĪ",
+      "Ġyay gın",
+      "Ġо ÑĢиг",
+      "ĠоÑĢ иг",
+      "Ùı ÙĨ",
+      "Ġev rop",
+      "Ġ ï½ľ",
+      "Ġï½ ľ",
+      "Ġëħ¸ì¶ľ ëĵ±ë¡Ŀ",
+      "åĩ Ŀ",
+      "л еннÑĭÑħ",
+      "лен нÑĭÑħ",
+      "Ġje nom",
+      "Ġjen om",
+      "Ġ ЧÑĤобÑĭ",
+      "ĠЧ ÑĤобÑĭ",
+      "ĠЧÑĤо бÑĭ",
+      "ĠìĹĨ ëĭ¤",
+      "ĠìŬ ìĦ±",
+      "Ġres mi",
+      "im álnÃŃ",
+      "缮 ãģ®",
+      "s ian",
+      "si an",
+      "-ни бÑĥдÑĮ",
+      "ο κ",
+      "çĭ¬ ç«ĭ",
+      "ÅŁ ehir",
+      "åIJ IJ",
+      "åĪ¶ éĢł",
+      "Ġ ÎĶεν",
+      "ĠÎĶ εν",
+      "ĠÎĶε ν",
+      "ãĥĭ ãĥ¥",
+      "иÑĤелÑĮ нÑĭÑħ",
+      "Ġ ÙĥاÙħ",
+      "ĠÙĥ اÙħ",
+      "Ïģ κ",
+      "Ġr au",
+      "Ġra u",
+      "ĠÑģм еÑĢÑĤи",
+      "ĠÑģмеÑĢ ÑĤи",
+      "ĠÏĮ ÏĦαν",
+      "Ġ Tại",
+      "ĠT ại",
+      "Ġ رب",
+      "Ġر ب",
+      "ε νο",
+      "εν ο",
+      "ر دد",
+      "رد د",
+      "Ġ à¸ģระ",
+      "Ġà¸ģ ระ",
+      "Ġà¸ģร ะ",
+      "Ïĥ μο",
+      "Ïĥμ ο",
+      "Ġ æ¼Ķ",
+      "Ġæ¼ Ķ",
+      "ิà¸Ī à¸ģรรม",
+      "ĠÑĢаз ви",
+      "ĠÑĢазв и",
+      "ãĤ¹ ãĥļ",
+      "Ñĸ ÑĩноÑĹ",
+      "ÑĸÑĩ ноÑĹ",
+      "lá Å¡enÃŃ",
+      "láš enÃŃ",
+      "اب عة",
+      "ابع ة",
+      "ov ými",
+      "ový mi",
+      "ovým i",
+      "а нг",
+      "ан г",
+      "Ġкап ÑĸÑĤ",
+      "ãĢģ âĢĭ",
+      "íĸĪ ëįĺ",
+      "ĠÑĥ ÑģÑĸ",
+      "ĠÑĥÑģ Ñĸ",
+      "ย าว",
+      "ยา ว",
+      "Ø£ Ùħ",
+      "ãĥ© ãĥĥãĤ¯",
+      "Ġë ķ",
+      "ĠسÙĨ ÙĪات",
+      "ĠÑģÑĤаÑĤ ÑĮи",
+      "ĠÑģÑĤаÑĤÑĮ и",
+      "ÑĹ Ñħ",
+      "Ïģο Ïĩή",
+      "ĠØ£Ùĥ تÙĪبر",
+      "lan ma",
+      "Ġmal zem",
+      "ç £¨",
+      "ç£ ¨",
+      "Ġб окÑĥ",
+      "Ġбо кÑĥ",
+      "Ġбок Ñĥ",
+      "åŃĹ å¹ķ",
+      "ĠоÑĢганÑĸ за",
+      "ĠоÑĢганÑĸз а",
+      "ãĥ© ãĤ¤ãĥ³",
+      "ãĥ©ãĤ¤ ãĥ³",
+      "ĠÙħع دÙĨ",
+      "ĠÙħعد ÙĨ",
+      "çĶ· åŃIJ",
+      "Ġ æĤ",
+      "Ġæ Ĥ",
+      "Ạ¾",
+      "Ġmez iná",
+      "Ġmezi ná",
+      "и ваÑİÑĤ",
+      "ив аÑİÑĤ",
+      "ива ÑİÑĤ",
+      "ĠطبÛĮ عÛĮ",
+      "èĻ ij",
+      "à¤Ł र",
+      "Ġпод Ñģ",
+      "ĠÅŁ aÅŁ",
+      "à¸Ļ à¹Ĩ",
+      "ĠÅ¡ p",
+      "v ÄĽÅĻ",
+      "vÄĽ ÅĻ",
+      "з ÑĮ",
+      "ëĿ¼ ë§Ī",
+      "ุ à¸ĺ",
+      "âĢ¦ Ø·",
+      "리 ì§Ģ",
+      "âĦĸâĦĸ âĦĸâĦĸ",
+      "Ġb ức",
+      "ĠSp oj",
+      "ĠSpo j",
+      "ĠиÑģполÑĮзов ани",
+      "ĠиÑģполÑĮз овани",
+      "å·¦ åı³",
+      "en ler",
+      "ĠоÑī ÑĥÑī",
+      "Ġоб лÑĸ",
+      "Ġобл Ñĸ",
+      "ظ ËĨ",
+      "ÙĦ ÛĮس",
+      "ÙĦÛĮ س",
+      "æıIJ åįĩ",
+      "ĠговоÑĢ иÑĤÑĮ",
+      "ĠговоÑĢиÑĤ ÑĮ",
+      "Ġk ür",
+      "Ġkü r",
+      "Ġλ ειÏĦοÏħÏģγ",
+      "ла га",
+      "лаг а",
+      "ĠÑģÑĥ дÑĥ",
+      "ĠÑģÑĥд Ñĥ",
+      "Ġ 측",
+      "Ġì¸ ¡",
+      "θε Ïĥη",
+      "Ġ нен",
+      "Ġн ен",
+      "Ġне н",
+      "Ġbiç imde",
+      "Ġbiçim de",
+      "ÑĨÑĸй ноÑĹ",
+      "ÑĨÑĸйно ÑĹ",
+      "à¹Ģà¸Ħ ย",
+      "ĠDal Å¡ÃŃ",
+      "Ġи меÑĤÑĮ",
+      "Ġим еÑĤÑĮ",
+      "Ġиме ÑĤÑĮ",
+      "èĭ Ĺ",
+      "ĠÙħع رÙĪÙģ",
+      "Ġt ạp",
+      "Ġm eÅŁ",
+      "Ġme ÅŁ",
+      "Âł N",
+      "оÑĢ они",
+      "оÑĢон и",
+      "оÑĢо ни",
+      "ع Ùģ",
+      "à¹Ĥ รà¸ĩà¹Ģร",
+      "à¹Ĥรà¸ĩ à¹Ģร",
+      "âĶ ¬",
+      "Ġ à¹Ģà¸ŀราะ",
+      "Ġà¹Ģà¸ŀ ราะ",
+      "Ġèı² å¾ĭ宾",
+      "ÑģÑĤв енное",
+      "ÑģÑĤвен ное",
+      "ÑģÑĤвенно е",
+      "Ġاز دÙĪاج",
+      "ĠÑĦ ев",
+      "éł »",
+      "Ġ สล",
+      "Ġส ล",
+      "à¸ķ à¸Ńà¸Ļ",
+      "Ġ 기ê°Ħ",
+      "Ġ기 ê°Ħ",
+      "ä½ ©",
+      "ÏĦ ην",
+      "ÏĦη ν",
+      "ëĤ¬ ëĭ¤",
+      "ĠQ uy",
+      "ĠQu y",
+      "Ġë¶ Ļ",
+      "ĠС Ñĥд",
+      "и ж",
+      "Ġ à¹Ģà¸ģม",
+      "Ġà¹Ģà¸ģ ม",
+      "ĠÑģв ÑıÑĤ",
+      "ĠÑģвÑı ÑĤ",
+      "et ooth",
+      "eto oth",
+      "ε Ïģο",
+      "εÏģ ο",
+      "ÙĦ ÙħØ©",
+      "ÙĦÙħ Ø©",
+      "Ø´ ÙĪر",
+      "Ø´ÙĪ ر",
+      "Ġd omu",
+      "Ġdo mu",
+      "Ġdom u",
+      "èį Ĵ",
+      "m î",
+      "ëıĦ 를",
+      "ĠÑĢекомендÑĥ еÑĤÑģÑı",
+      "Ġsonra sında",
+      "Ġsonrası nda",
+      "Ġд нÑĸв",
+      "Ġç al",
+      "Ġça l",
+      "ãĤ«ãĥĨ ãĤ´ãĥª",
+      "Ġ еж",
+      "Ġе ж",
+      "Ġìķ ī",
+      "èī² çļĦ",
+      "âĢĻ nde",
+      "âĢĻn de",
+      "Ġ ÏĢÏīÏĤ",
+      "ĠÏĢ ÏīÏĤ",
+      "ĠÑĩеÑĤ веÑĢ",
+      "k ili",
+      "ki li",
+      "kil i",
+      "æĢ§ èĥ½",
+      "اد ÙĬØ©",
+      "ادÙĬ Ø©",
+      "çº ¯",
+      "ĠاÙĦ تش",
+      "ĠاÙĦت Ø´",
+      "ĠÑĤ ела",
+      "ĠÑĤе ла",
+      "ĠÑĤел а",
+      "Ġоб ÑĬем",
+      "ĠобÑĬ ем",
+      "å²Ĺ ä½į",
+      "Ġkon krét",
+      "Ġa rada",
+      "Ġar ada",
+      "Ġara da",
+      "ìĭľ ìĹIJ",
+      "Ġor anı",
+      "Ġoran ı",
+      "ر Ùĥ",
+      "ÐĽ ÐIJ",
+      "Ġ ménÄĽ",
+      "Ġmé nÄĽ",
+      "ج ÙĪÛĮ",
+      "جÙĪ ÛĮ",
+      "Ġv ợ",
+      "Ġvá» £",
+      "ĠAngiosper mae",
+      "èĥ İ",
+      "Ġh ôn",
+      "äºĭ æ¥Ń",
+      "ĠоÑĤ веÑĢ",
+      "ĠоÑĤв еÑĢ",
+      "Ġs rd",
+      "Ġsr d",
+      "Å¡ li",
+      "ส à¸ģ",
+      "æ¼ ı",
+      "ĠØ´ رØŃ",
+      "Ġشر ØŃ",
+      "ÑĨ Ñıми",
+      "ÑĨÑı ми",
+      "Ġs lav",
+      "Ġsl av",
+      "Ġsla v",
+      "Ġc eny",
+      "Ġce ny",
+      "Ġcen y",
+      "à¸Ń à¹Ģร",
+      "Ġ ÙĪÙĦد",
+      "ĠÙĪÙĦ د",
+      "Ġк оÑĢа",
+      "ĠкоÑĢ а",
+      "Ġко ÑĢа",
+      "Ġб ÑĢон",
+      ": .:.:.:.:",
+      ":.:.: .:.:",
+      ":.: .:.:.:",
+      "Ġne mus",
+      "Ġnem us",
+      "è¿Ļ æł·çļĦ",
+      "è¿Ļæł· çļĦ",
+      "Ġبر ÙĨاÙħج",
+      "Ġú plnÄĽ",
+      "ีà¸Ļ าà¸Ħม",
+      "Ġë°Ľ ìķĦ",
+      "με Ïģα",
+      "μεÏģ α",
+      "ç¼ ©",
+      "Ġn ắm",
+      "ĠобÑĬ ÑıÑģ",
+      "ĠконÑĤÑĢ олÑİ",
+      "á vajÃŃcÃŃ",
+      "ávajÃŃ cÃŃ",
+      "Ġk um",
+      "Ġku m",
+      "çĶ· 人",
+      "Ġv nitÅĻ",
+      "Ġب دÙĩ",
+      "Ġبد Ùĩ",
+      "Ġأب رÙĬÙĦ",
+      "人æ°ij åħ±åĴĮåĽ½",
+      "Ġyap ılır",
+      "Ġyapıl ır",
+      "Ġna Å¡ÃŃ",
+      "ĠnaÅ¡ ÃŃ",
+      "ãĥ¼ ãĥŃ",
+      "ãĥ¼ãĥ Ń",
+      "Ġt ạm",
+      "Ġhen üz",
+      "Ġz emi",
+      "Ġze mi",
+      "Ġzem i",
+      "Ġkh áng",
+      "Ġkhá ng",
+      "åħ¬ åħ±",
+      "Ġ èĢģ",
+      "ĠèĢ ģ",
+      "ĠعÙĪ اÙħÙĦ",
+      "Âł V",
+      "à¹ī à¹ģà¸ģ",
+      "άν ÏĦα",
+      "ĠÑĤÑĢав нÑı",
+      "Ġη μÎŃ",
+      "è´ ¸",
+      "ส à¸Ķ",
+      "Ġس Ùħت",
+      "ĠسÙħ ت",
+      "ĠØ® اک",
+      "ĠÑĤак ий",
+      "ĠÑĤа кий",
+      "Ġet tik",
+      "Ġett ik",
+      "Ġetti k",
+      "ĠÏĮ λ",
+      "Ġп оли",
+      "Ġпо ли",
+      "Ġпол и",
+      "Ġ нож",
+      "Ġн ож",
+      "Ġно ж",
+      "غ اÙĨ",
+      "ÙĨ دÙĬ",
+      "ÙĨد ÙĬ",
+      "ĠÄįty ÅĻi",
+      "ĠÄįtyÅĻ i",
+      "ĠPh Æ°Æ¡ng",
+      "ĠÙĪر زش",
+      "ĠÙĪرز Ø´",
+      "ãģĦ ãģĭ",
+      "r vé",
+      "rv é",
+      "Ġतर फ",
+      "Ġन à¤Ĺर",
+      "m asında",
+      "ma sında",
+      "mas ında",
+      "ması nda",
+      "е виÑĩ",
+      "ев иÑĩ",
+      "еви Ñĩ",
+      "ve ÅĻej",
+      "ä¿Ŀ æĮģ",
+      "æĬĢ èĥ½",
+      "æݨ èįIJ",
+      "l âm",
+      "Ġ Ïį",
+      "ĠÏ į",
+      "å¢ŀ éķ¿",
+      "Ġاص ÙģÙĩ",
+      "ĠÐĹак онÑĥ",
+      "ĠÐŁ ÑĢез",
+      "ĠÐŁÑĢ ез",
+      "Ġpod por",
+      "Ġpodp or",
+      "기 íĥĢ",
+      "Ġ íıIJ",
+      "Ġíı IJ",
+      "Ġ ëĭĪ",
+      "Ġëĭ Ī",
+      "lar ınız",
+      "ların ız",
+      "larını z",
+      "ãĥĸ ãĥŃ",
+      "ĠÑĦÑĢан ÑĨÑĥз",
+      "ãĥĬ ãĥ¼",
+      "Ġb eled",
+      "Ġbe led",
+      "Ġbel ed",
+      "Ġbele d",
+      "ัà¸Ļว าà¸Ħม",
+      "ĠÙģ رÙĪ",
+      "ĠÙģر ÙĪ",
+      "ÑĦ ÑĢов",
+      "ĠìĿ´ 룬",
+      "ượ u",
+      "Ġê³µ ìĭĿ",
+      "Ġbird en",
+      "Ġbir den",
+      "Ġз елен",
+      "Ġзел ен",
+      "çĴ ĥ",
+      "Ġh á»ĵng",
+      "Ġhá»ĵ ng",
+      "ĠÅ¡ kola",
+      "ĠÅ¡kol a",
+      "ĠÅ¡k ola",
+      "ĠÑģам ом",
+      "ĠÑģамо м",
+      "an lık",
+      "anlı k",
+      "空 éĹ´",
+      "åįĹ çľģ",
+      "л еÑĢг",
+      "ле ÑĢг",
+      "леÑĢ г",
+      "Ñĸз неÑģ",
+      "Âł A",
+      "ãĢį ãĤĴ",
+      "Ġkend ine",
+      "Ġkendi ne",
+      "Ġ اÙĪÙĨ",
+      "Ġا ÙĪÙĨ",
+      "ĠاÙĪ ÙĨ",
+      "ãĢ Ķ",
+      "ĠΣ Ïį",
+      "à¹Ģ à¸Ħล",
+      "à¹Ģà¸Ħ ล",
+      "å¥ ¶",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "Ġú Äįet",
+      "ĠúÄį et",
+      "Ñĥ ла",
+      "Ñĥл а",
+      "éĢļ ä¿¡",
+      "Ġì¦ IJ",
+      ". čĊĊ",
+      ".čĊ Ċ",
+      "ĠÐľ ед",
+      "ا عÙĬ",
+      "اع ÙĬ",
+      "Ġjeho ž",
+      "ĠGü ney",
+      "ĠGün ey",
+      "ĠÎij ÏĢο",
+      "ĠÎijÏĢ ο",
+      "Ġп олÑĸ",
+      "Ġпо лÑĸ",
+      "Ġпол Ñĸ",
+      "ü me",
+      "üm e",
+      "ho dob",
+      "hod ob",
+      "ĠÎĿ α",
+      "ĠØ¢ ÙĦات",
+      "ĠØ¢ÙĦ ات",
+      "ĠpÅĻ iz",
+      "ĠpÅĻi z",
+      "Ġt avs",
+      "Ġta vs",
+      "Ġtav s",
+      "Ġتب ÙĦÛĮ",
+      "ãĥ³ ãĥĶ",
+      "ãĥ³ãĥ Ķ",
+      "خ رج",
+      "خر ج",
+      "Ġак кÑĥ",
+      "Ġú prav",
+      "ĠاØŃ Ø³Ø§Ø³",
+      "ì¹´ ëĿ¼",
+      "ı mızı",
+      "ım ızı",
+      "ımız ı",
+      "ımı zı",
+      "Ġд окÑĥменÑĤ",
+      "Ġдок ÑĥменÑĤ",
+      "ĠдокÑĥм енÑĤ",
+      "Ġ اصÙĦ",
+      "Ġا صÙĦ",
+      "Ġاص ÙĦ",
+      "ظ Ùĩ",
+      "ĠìĿ¸ ê°Ħ",
+      "Ġج رÛĮاÙĨ",
+      "Ġجر ÛĮاÙĨ",
+      "Î¥ ÎĿ",
+      "ÑĩеÑģ каÑı",
+      "Ñĩе ÑģкаÑı",
+      "ÙĬ ÙĨÙĬØ©",
+      "ÙĬÙĨ ÙĬØ©",
+      "ÙĬÙĨÙĬ Ø©",
+      "åĴ ¨",
+      "æĹħ 游",
+      "Ġ à¸Īำà¸Ļวà¸Ļ",
+      "Ġà¸Īำ à¸Ļวà¸Ļ",
+      "Ġ анг",
+      "Ġа нг",
+      "Ġан г",
+      "Ïħ Ïĩ",
+      "èĻ «",
+      "ĠÙħ ÙĤر",
+      "ĠÙħÙĤ ر",
+      "ĠÙħÙĪسÛĮ ÙĤÛĮ",
+      "ut ut",
+      "ĠÐĽ е",
+      "ĠÐŁ ÑĸÑģлÑı",
+      "ãĤŃ ãĥ¼",
+      "ุล าà¸Ħม",
+      "åĩ ¡",
+      "ÏĢ οÏį",
+      "ÏĢο Ïį",
+      "ĠÃĸ dül",
+      "Ïĥ κ",
+      "Ġ ÑĨÑİ",
+      "ĠÑĨ Ñİ",
+      "Ñĭ ваÑı",
+      "Ñĭв аÑı",
+      "Ñĭва Ñı",
+      "ï½ŀ ï½ŀ",
+      "ĠØ´ ÙħاÙĦ",
+      "ĠØ´Ùħ اÙĦ",
+      "ĠØ´Ùħا ÙĦ",
+      "è¿ ħ",
+      "ĠبÙĦ Ú©Ùĩ",
+      "çİ Ľ",
+      "Ġì§Ģ ëĤĺ",
+      "ĠÙģ کر",
+      "ĠÑģÑĤеп ени",
+      "Ġна Ñĥки",
+      "ĠнаÑĥк и",
+      "çī© çIJĨ",
+      "ÄĽ le",
+      "ÄĽl e",
+      "Ġо ÑģкÑĸлÑĮки",
+      "ĠкÑĥлÑĮÑĤÑĥ ÑĢи",
+      "ĠкÑĥлÑĮÑĤÑĥÑĢ и",
+      "èĢĥ è¯ķ",
+      "Ġmateri ál",
+      "ĠÑģÑĤ воÑĢеннÑı",
+      "ĠÑģÑĤвоÑĢ еннÑı",
+      "Ġà¤ħ द",
+      "æıIJ åĩº",
+      "Ġè©ķ 価",
+      "ÙĴ د",
+      "Ġë§Įëĵ¤ ìĸ´",
+      "duÄŁu nu",
+      "duÄŁ unu",
+      "ÙĬ ÙĨÙĩ",
+      "ÙĬÙĨ Ùĩ",
+      "åĵ ¦",
+      "оÑĩ нÑĭÑħ",
+      "ĠÙħ ض",
+      "is mu",
+      "ism u",
+      "Ġ Ñĩай",
+      "ĠÑĩ ай",
+      "ĠÑĩа й",
+      "ÙĪ رÙĪب",
+      "ÙĪر ÙĪب",
+      "Ġ англ",
+      "Ġан гл",
+      "Ġанг л",
+      "oÄŁun luk",
+      "ĠпÑĢед пол",
+      "ĠÎŃ ÏīÏĤ",
+      "ส à¸ĸ",
+      "ĠÎķλλά δα",
+      "ĠBi lg",
+      "ĠBil g",
+      "Ġ بات",
+      "Ġب ات",
+      "Ġبا ت",
+      "ĠÐĽÑĮв Ñĸв",
+      "Ġyap ılması",
+      "Ġyapıl ması",
+      "æ£Ģ æŁ¥",
+      "æķ° åѦ",
+      "Ġ :.:",
+      "Ġ: .:",
+      "Ġ:. :",
+      "Ġ çİ©",
+      "Ġçİ ©",
+      "Îļ α",
+      "à¹Ģà¸Ĺ à¸Ħà¹Ĥà¸Ļà¹Ĥลย",
+      "Ġساخت ÙħاÙĨ",
+      "ĠìĨĮ 리",
+      "é¼ »",
+      "Ġs mr",
+      "Ġsm r",
+      "Ġëĭ¤ìĸij íķľ",
+      "Ġjed nánÃŃ",
+      "Ġjedn ánÃŃ",
+      "Ġjedná nÃŃ",
+      "Ġserv isi",
+      "Ġservi si",
+      "Ġservis i",
+      "Ġey lem",
+      "Ġм али",
+      "Ġмал и",
+      "Ġма ли",
+      "Ġvý hod",
+      "éĻ¤ äºĨ",
+      "ĠпоÑĢÑıд кÑĥ",
+      "Ġn ový",
+      "Ġno vý",
+      "Ġnov ý",
+      "å¤ ķ",
+      "ĠнекоÑĤоÑĢ Ñĭе",
+      "Ġ^ {}",
+      "Ġ^{ }",
+      "γÏī γ",
+      "Ñĥ ÑĪки",
+      "ÑĥÑĪ ки",
+      "Ġp sik",
+      "Ġps ik",
+      "Ġpsi k",
+      "ĠíĶĦ 리",
+      "ش اء",
+      "Ġ ван",
+      "Ġв ан",
+      "Ġва н",
+      "Ġس ÙĥاÙĨ",
+      "ç¢ ¼",
+      "ĠÎľ η",
+      "ĠÑĥÑĢов енÑĮ",
+      "ãĤµ ãĥ¼",
+      "ĠاÙĦب ØŃر",
+      "Ġd nÃŃ",
+      "Ġdn ÃŃ",
+      "à¸ģาร ศ",
+      "e diÄŁi",
+      "edi ÄŁi",
+      "Ġbelir li",
+      "Ùĭ ØĮ",
+      "ĠzamÄĽst nan",
+      "ĠzamÄĽstn an",
+      "æŁ ±",
+      "ا ÙģÙĬ",
+      "اÙģ ÙĬ",
+      "Ġh ải",
+      "æĢĿ æĥ³",
+      "Ġn eler",
+      "Ġne ler",
+      "Ġnel er",
+      "Ġرس ÙħÛĮ",
+      "ĠرسÙħ ÛĮ",
+      "Ñģ еÑĢ",
+      "Ñģе ÑĢ",
+      "ãģĵãģ¨ ãģ§",
+      "ĠZá kladnÃŃ",
+      "л ова",
+      "ло ва",
+      "лов а",
+      "к ÑĤÑĥ",
+      "кÑĤ Ñĥ",
+      "ÙĪس Ùģ",
+      "Ñĸб лÑĸ",
+      "Ì Ĥ",
+      "ÑĢ д",
+      "éĻ ³",
+      "æį ·",
+      "ĠyaÅŁ ayan",
+      "à¥ģ à¤ļ",
+      "à¥ģठļ",
+      "ÑĸÑĤ ÑĤÑı",
+      "Ġb á»ģ",
+      "ëĤĺ ëĿ¼",
+      "Ġм ÑıÑģ",
+      "Ġ{ [%",
+      "Ġ{[ %",
+      "θ α",
+      "Ġдоз волÑı",
+      "Ġдозвол Ñı",
+      "Ġ åIJĦ",
+      "ĠåIJ Ħ",
+      "ĠÐŁ еÑĢв",
+      "ĠÐŁÐµÑĢ в",
+      "ĠSaÄŁ lık",
+      "ÑģÑĤоÑĢ иÑı",
+      "Ġbun lar",
+      "Ġs á»ķ",
+      "़ à¥į",
+      "Ġ åĪ©",
+      "ĠåĪ ©",
+      "ĠÑģ поÑģ",
+      "ĠÑģп оÑģ",
+      "Ġyap tır",
+      "Ġyaptı r",
+      "Ġt Æ°á»Ŀng",
+      "ÙĪ ÙĨØ©",
+      "ÙĪÙĨ Ø©",
+      "Ġ еп",
+      "Ġе п",
+      "ãģ§ãģį ãģªãģĦ",
+      "Ùģ تÙħ",
+      "Ùģت Ùħ",
+      "ĠÐĵ ол",
+      "íķĺ ì§Ģë§Į",
+      "íķĺì§Ģ ë§Į",
+      "Ġì§Ħ ì§ľ",
+      "Ġob jedn",
+      "Ġobj edn",
+      "Ġизмен ениÑı",
+      "女 人",
+      "Ġпл ани",
+      "Ġпла ни",
+      "Ġплан и",
+      "ĠFak ült",
+      "Ġt zv",
+      "Ġtz v",
+      "ĠобÑıз аÑĤелÑĮ",
+      "Ġблиз ÑĮко",
+      "r ası",
+      "ra sı",
+      "ras ı",
+      "ĠεÏĢί ÏĥηÏĤ",
+      "ĠÑĦак ÑĤи",
+      "ĠÑĦакÑĤ и",
+      "ĠÄIJ ặc",
+      "ĠAlt ın",
+      "л иÑĤ",
+      "ли ÑĤ",
+      "Ġл ÑĸÑģ",
+      "ĠлÑĸ Ñģ",
+      "çī §",
+      "Ġп ÑĥÑģÑĤ",
+      "ĠпÑĥ ÑģÑĤ",
+      "Ġком ÑĸÑģ",
+      "ä¿Ŀ éļľ",
+      "åħ· ä½ĵ",
+      "- ÑĤ",
+      "Ġtr hu",
+      "Ġtrh u",
+      "Ġâī Ī",
+      "Ġдека бÑĢÑı",
+      "ĠÑĦоÑĢм Ñĭ",
+      "ĠÑĦоÑĢ мÑĭ",
+      "Ng oÃłi",
+      "Ġdo hod",
+      "رÙĬ ÙĥÙĬØ©",
+      "رÙĬÙĥ ÙĬØ©",
+      "رÙĬÙĥÙĬ Ø©",
+      "ĠØ¢ÙħÙĪز Ø´ÛĮ",
+      "ĠØ¢ÙħÙĪزش ÛĮ",
+      "ĠzajÃŃm av",
+      "Ġkat ılım",
+      "Ġkatıl ım",
+      "ä¸ ĺ",
+      "Ġko num",
+      "Ġkon um",
+      "Ġkonu m",
+      "Ġм оÑĩ",
+      "Ġмо Ñĩ",
+      "ãĥ³ ãĥķ",
+      "ãĥ³ãĥ ķ",
+      "диви дÑĥ",
+      "Ġ äºļ",
+      "Ġ æĴ",
+      "Ġæ Ĵ",
+      "γÏģά ÏĨ",
+      "ãĥIJ ãĤ¹",
+      "Ġп Ñĥнк",
+      "ĠBir leÅŁik",
+      "Ġqu en",
+      "Ġque n",
+      "Ġq uen",
+      "Ġв каз",
+      "Ġвк аз",
+      "à¥ĩ शà¤ķ",
+      "à¥ĩश à¤ķ",
+      "ĠY unan",
+      "ĠYu nan",
+      "ĠYun an",
+      "ãģł ãģ¨",
+      "Û±Û¹ Û·",
+      "á ty",
+      "át y",
+      "Ġ ÙĪص",
+      "ĠÙĪ ص",
+      "Ġнег аÑĤив",
+      "ãģ¤ ãģ®",
+      "Ġ åĬ¨",
+      "ĠåĬ ¨",
+      "ãĥį ãĥĥãĥĪ",
+      "Ġд Ñĸй",
+      "ĠдÑĸ й",
+      "ĠbaÅŁ ında",
+      "Ġtr Æ°ng",
+      "Ġm akin",
+      "Ġma kin",
+      "Ġmak in",
+      "Ġ æĦĽ",
+      "ĠæĦ Ľ",
+      "м еÑĩ",
+      "ме Ñĩ",
+      "Ġ è¿ij",
+      "Ġè¿ ij",
+      "ÙĤ در",
+      "ÙĤد ر",
+      "Ġاست اÙĨد",
+      "ĠاستاÙĨ د",
+      "Ġinform acÃŃ",
+      "ार à¤ķ",
+      "è¬ Ŀ",
+      "ÑĢаб аÑĤ",
+      "Ġ çŃĶ",
+      "Ġç ŃĶ",
+      "ĠçŃ Ķ",
+      "Ġ èĩ³",
+      "Ġèĩ ³",
+      "Ġп олÑĮ",
+      "Ġпо лÑĮ",
+      "Ġпол ÑĮ",
+      "ĠÙĩÙĨ ر",
+      "ëĮĢ ë¹Ħ",
+      "Ġخارج ÛĮ",
+      "r act",
+      "ra ct",
+      "rac t",
+      "ãĢĤ ãģĵãĤĮ",
+      "ĠØ´ÙĪر اÛĮ",
+      "л енно",
+      "лен но",
+      "Ġh isset",
+      "Ġhis set",
+      "Ġhiss et",
+      "Ġc Ãłi",
+      "ĠcÃł i",
+      "ĠÑĦ оÑĤо",
+      "ĠÑĦоÑĤ о",
+      "æģ Ĵ",
+      "Ġмед иÑĨин",
+      "Ġмеди ÑĨин",
+      "ÑģÑĤ вÑĸ",
+      "ÑģÑĤв Ñĸ",
+      "ĠاÙĦ عÙĦ",
+      "ĠاÙĦع ÙĦ",
+      "ĠпиÑģÑĮ мен",
+      "ãĢĤ ãģ¾ãģŁ",
+      "Ġvlast nÄĽ",
+      "Ġп ода",
+      "Ġпо да",
+      "Ġпод а",
+      "Ïģ οι",
+      "Ïģο ι",
+      "Ġ ìĦĿ",
+      "ĠìĦ Ŀ",
+      "ĠìĿ¼ ìĿ´",
+      "Ġ ìĽĮ",
+      "ĠìĽ Į",
+      "ок Ñģи",
+      "окÑģ и",
+      "Ġos oby",
+      "Ġosob y",
+      "ÐŁÐ¾Ñģ ле",
+      "ĠÑĸÑģÑĤоÑĢ ÑĸÑĹ",
+      "ع ÙĦÙī",
+      "عÙĦ Ùī",
+      "н ка",
+      "ت Ùħبر",
+      "تÙħ بر",
+      "à¥ĩ हर",
+      "à¥ĩह र",
+      "ĠJ ana",
+      "ĠJan a",
+      "ĠJa na",
+      "ÙĦ ÙĬات",
+      "ÙĦÙĬ ات",
+      "ĠмаÑĢ ÑĤа",
+      "ĠÐļи ÑĶ",
+      "ĠÑĢоб оÑĤÑĥ",
+      "ĠÑĢобоÑĤ Ñĥ",
+      "Ġnh ấn",
+      "и Ñģлов",
+      "иÑģ лов",
+      "ëŁ Ń",
+      "Ġo dv",
+      "Ġod v",
+      "ĠT á»īnh",
+      "âĢľ ê·¸",
+      "ãģ» ãģĨ",
+      "é² ľ",
+      "м еÑĨÑĮ",
+      "ме ÑĨÑĮ",
+      "า ศาสà¸ķร",
+      "าศ าสà¸ķร",
+      "à¥ģ à¤ĵ",
+      "à¥ģठĵ",
+      "ิ à¸Ļà¸Ĺ",
+      "ิà¸Ļ à¸Ĺ",
+      "m ada",
+      "ma da",
+      "mad a",
+      "ز اÙħ",
+      "زا Ùħ",
+      "ĠÙĥ بÙĬر",
+      "å®ŀ æĸ½",
+      "ze ÅĪ",
+      "Ġl ái",
+      "Ġlá i",
+      "Ïĥ μα",
+      "Ïĥμ α",
+      "ا سات",
+      "اس ات",
+      "ÑĦ ÑĤ",
+      "è° ±",
+      "çĮ ľ",
+      "Ġpro bÃŃ",
+      "Ġprob ÃŃ",
+      "æľĢ è¿ij",
+      "ÑĢ ад",
+      "ÑĢаР´",
+      "ÑĢа д",
+      "ãĤ½ ãĥ³",
+      "Ġ клад",
+      "Ġк лад",
+      "Ġкл ад",
+      "Ġкла д",
+      "à¥ľ à¤ķ",
+      "é v",
+      "ล าย",
+      "ลา ย",
+      "èİ İ",
+      "ĠμÎŃ ÏĩÏģι",
+      "Ġ кÑĥÑģ",
+      "Ġк ÑĥÑģ",
+      "ĠкÑĥ Ñģ",
+      "Ġ íĻĺê²½",
+      "ĠíĻĺ ê²½",
+      "Ñĩ оÑĹ",
+      "åıĺ åĮĸ",
+      "Ġب تÙĪاÙĨ",
+      "Ġبت ÙĪاÙĨ",
+      "Ġt ắt",
+      "Ġgöster en",
+      "а лÑİ",
+      "ал Ñİ",
+      "Ġкоман ди",
+      "Ġкоманд и",
+      "Ġ 컨",
+      "Ġì» ¨",
+      "Ñĥ нд",
+      "Ñĥн д",
+      "Ġج ÙĦÙĪ",
+      "ĠجÙĦ ÙĪ",
+      "åŃIJ çļĦ",
+      "ĠÑģ б",
+      "ĠÐł аÑģ",
+      "ĠÐłÐ° Ñģ",
+      "P CP",
+      "PC P",
+      "ĠCumhur baÅŁ",
+      "од аÑĤелÑĮ",
+      "ÃŃ sto",
+      "ÃŃs to",
+      "ÃŃst o",
+      "Ġo znám",
+      "Ġoz nám",
+      "ãĥ¼ ãĥĭ",
+      "ãĥ¼ãĥ ĭ",
+      "Ġok uy",
+      "Ġoku y",
+      "o phy",
+      "op hy",
+      "oph y",
+      "า à¸Ļà¸Ħร",
+      "าà¸Ļ à¸Ħร",
+      "ĠÎķ θν",
+      "ay ım",
+      "ayı m",
+      "Ùİ Ø£",
+      "æİ ¡",
+      "Ġfunk ce",
+      "Ġfunkc e",
+      "æļ ĸ",
+      "ط ار",
+      "ĠÐĿ аг",
+      "ĠÐĿа г",
+      "Ġ ä¸ĩåĨĨ",
+      "Ġä¸ĩ åĨĨ",
+      "Ġ íĴį",
+      "ĠíĴ į",
+      "Ġ ä½ı",
+      "Ġ ï¼İ",
+      "Ġï¼ İ",
+      "Ñĭ ваÑİÑĤÑģÑı",
+      "Ñĭв аÑİÑĤÑģÑı",
+      "Ñĭва ÑİÑĤÑģÑı",
+      "ÑĭваÑİÑĤ ÑģÑı",
+      "ĠP la",
+      "ĠPl a",
+      "ا ÙĬÙĦ",
+      "اÙĬ ÙĦ",
+      "Ġ무 ìĹĩ",
+      "Ġкон еÑĩно",
+      "к м",
+      "à¤Ĥ पर",
+      "à¤Ĥप र",
+      "Ġ ìłķë¶Ģ",
+      "Ġìłķ ë¶Ģ",
+      "ĠëĤ´ 볤",
+      "ãĤ° ãĥ«",
+      "çģ °",
+      "Ġc yk",
+      "Ġcy k",
+      "Ġжел Ñĥд",
+      "ĠëĨĴ ìĿĢ",
+      "çĶŁ åij½",
+      "æµ ´",
+      "Ġart Ä±ÅŁ",
+      "Ġ Ðĩ",
+      "ĠÐ ĩ",
+      "ï¼ ²",
+      "e kim",
+      "ek im",
+      "eki m",
+      "ĠÑĦ едеÑĢа",
+      "ĠвеÑĢеÑģ нÑı",
+      "н иÑĤе",
+      "ни ÑĤе",
+      "ниÑĤ е",
+      "ĠÄ°ÅŁ te",
+      "ĠÙĪضع ÛĮت",
+      "ãģķ ãģ¾",
+      "ĠtÅĻ etÃŃ",
+      "ĠtÅĻet ÃŃ",
+      "u luÄŁ",
+      "ulu ÄŁ",
+      "ĠCumhur iyet",
+      "ä¼ Ł",
+      "Ġ ë§Ŀ",
+      "Ġë§ Ŀ",
+      "Ġver mek",
+      "Ġverm ek",
+      "Ġn alez",
+      "Ġna lez",
+      "Ġnal ez",
+      "Ġnale z",
+      "çĵ ¶",
+      "Ġd iÅŁ",
+      "Ġdi ÅŁ",
+      "ĠH á»ĵng",
+      "ĠHá»ĵ ng",
+      "غ ÙĬرة",
+      "غÙĬر Ø©",
+      "å© Ĩ",
+      "н ив",
+      "ни в",
+      "Ġr út",
+      "' nda",
+      "'n da",
+      "Ġh roz",
+      "Ġhr oz",
+      "à¥ī प",
+      "Ġза коном",
+      "Ġзак оном",
+      "Ġзакон ом",
+      "Ġзако ном",
+      "Ġjed nu",
+      "Ġjedn u",
+      "ĠKa dın",
+      "ĠKad ın",
+      "in dir",
+      "ind ir",
+      "indi r",
+      "س ازÛĮ",
+      "åĮº åŁŁ",
+      "ĠkonuÅŁ tu",
+      "Ġز ÙĨد",
+      "ĠزÙĨ د",
+      "ा ĊĊ",
+      "ाĊ Ċ",
+      "ĠÐIJ з",
+      "à¸ĩ à¸Ĥà¸Ńà¸ĩ",
+      "à¸ĩà¸Ĥ à¸Ńà¸ĩ",
+      "ĠÑģвой ÑģÑĤва",
+      "Ġìŀij íĴĪ",
+      "пе ки",
+      "Ġ å°±",
+      "Ġå° ±",
+      "ев ого",
+      "ево го",
+      "ĠtaÅŁ ıy",
+      "ĠÙħÙĨ Ø·ÙĤØ©",
+      "ĠÙħÙĨØ· ÙĤØ©",
+      "ĠÃĩ ocuk",
+      "Û² Û·",
+      "ĠÏĥÏħ μÏĢ",
+      "é£Ł åĵģ",
+      "h á",
+      "ï¼ ¯",
+      "ÙĦ ÙħÙĩ",
+      "ÙĦÙħ Ùĩ",
+      "ãģ¨ãģª ãģ£ãģŁ",
+      "о ÑĢÑĸ",
+      "оÑĢ Ñĸ",
+      "° }",
+      "ĠtaÅŁ ın",
+      "çŁ ¿",
+      "ĠÑĩаÑģÑĤ ини",
+      "ĠÑĩаÑģÑĤи ни",
+      "ĠدÙĬ سÙħبر",
+      "Ġ èī¯",
+      "Ġèī ¯",
+      "st ÅĻÃŃ",
+      "Ġ ÑĨик",
+      "ĠÑĨ ик",
+      "ĠÑĨи к",
+      "âĢķâĢķ âĢķâĢķ",
+      "ĠÄ°ng iltere",
+      "ĠÑģÑĤ ÑĢаÑĤег",
+      "ĠÑģÑĤÑĢ аÑĤег",
+      "ÃĦ Ÿ",
+      "и Ñĩного",
+      "иÑĩ ного",
+      "иÑĩно го",
+      "ÃŃ rk",
+      "ÃŃr k",
+      "ĠÎij Ïģ",
+      "! âĢľĊĊ",
+      "!âĢľ ĊĊ",
+      "Ġ 깨",
+      "Ġê¹ ¨",
+      "à¥ģà¤Ĩ त",
+      "ĠدÙĨÛĮ ا",
+      "ĠدÙĨ ÛĮا",
+      "l ÃŃn",
+      "lÃŃ n",
+      "Ġà¤ķ ड",
+      "ĠÙħ بت",
+      "ĠÙħب ت",
+      "ем ÑĭÑħ",
+      "о би",
+      "об и",
+      "ย à¸Ļà¸ķ",
+      "ยà¸Ļ à¸ķ",
+      "à¤Ĥध न",
+      "ÚĨ ÛĮ",
+      "Ġ çŁ¥",
+      "Ġç Ł¥",
+      "ĠçŁ ¥",
+      "ĠXu ân",
+      "a daki",
+      "ad aki",
+      "ada ki",
+      "Ġ orta",
+      "Ġor ta",
+      "Ġort a",
+      "æł¹ æľ¬",
+      "åħ± åIJĮ",
+      "н ений",
+      "не ний",
+      "нен ий",
+      "ب ÙĬرة",
+      "بÙĬ رة",
+      "بÙĬر Ø©",
+      "çŃ ĭ",
+      "ïº Ķ",
+      "âĢĮ ÙĩاÙĬ",
+      "âĢĮÙĩا ÙĬ",
+      "Ġö deme",
+      "Ġödem e",
+      "ĠØ¢ÙĨ ÚĨÙĩ",
+      "Ġза Ñıви",
+      "ĠзаÑıв и",
+      "ĠÙĨÙĤ Ø´Ùĩ",
+      "ĠÙĨÙĤØ´ Ùĩ",
+      "Ġ ç³»",
+      "Ġç ³»",
+      "Ġç³ »",
+      "à¥ĭ ।",
+      "Ġì§Ģ ìłķ",
+      "Ġin sp",
+      "Ġins p",
+      "Ġ ÑĤен",
+      "ĠÑĤ ен",
+      "ĠÑĤе н",
+      "Ġت Ø·",
+      "Ġqu ảng",
+      "Ġquả ng",
+      "Ġquản g",
+      "åī £",
+      "ãģı ãģ®",
+      "ĠÑĨ им",
+      "ĠÑĨи м",
+      "k ovi",
+      "ko vi",
+      "kov i",
+      "i yah",
+      "iy ah",
+      "iya h",
+      "Ġ ëIJľëĭ¤",
+      "ĠëIJľ ëĭ¤",
+      "ص Ùĩ",
+      "ĠÄij u",
+      "Ġsu á»ijt",
+      "ı ma",
+      "ım a",
+      "ì§Ģ ê³ł",
+      "Ì ĥ",
+      "à¸ļ าย",
+      "ĠCert if",
+      "ĠCer tif",
+      "ĠÑĥÑģ ÑĸÑħ",
+      "ĠÑĥÑģÑĸ Ñħ",
+      "à¸ķะ ว",
+      "εί ÏĦε",
+      "Ġ č",
+      "Ġмож ливÑĸÑģÑĤÑĮ",
+      "Ġможлив ÑĸÑģÑĤÑĮ",
+      "Ġ -âĢIJ",
+      "Ġ- âĢIJ",
+      "Ġ íĺ¹",
+      "Ġíĺ ¹",
+      "ìĤ¬ ì§Ħ",
+      "Ġд аниÑħ",
+      "Ġда ниÑħ",
+      "Ġдан иÑħ",
+      "Ġzah áj",
+      "주 ëĬĶ",
+      "Ġг ид",
+      "n iž",
+      "ni ž",
+      "Ġ^{ °}",
+      "Ġk ro",
+      "Ġkr o",
+      "Äį en",
+      "Äįe n",
+      "ÏĨ ι",
+      "ımız da",
+      "Ġ æ¹ĸ",
+      "Ġæ¹ ĸ",
+      "Ġпов ÑĢежд",
+      "Ġì¡´ ìŀ¬",
+      "à¸Ļ าà¸Ļ",
+      "à¸Ļา à¸Ļ",
+      "μÎŃ Î½Î¿ÏĤ",
+      "μÎŃν οÏĤ",
+      "μÎŃνο ÏĤ",
+      "æ½ ľ",
+      "ï¼Į 使",
+      "Ġd osp",
+      "Ġdo sp",
+      "Ġdos p",
+      "Ġl iá»ģn",
+      "Ġli á»ģn",
+      "ัà¸ļ à¸Ħวาม",
+      "ัà¸ļà¸Ħ วาม",
+      "ĠÑĢабоÑĤ е",
+      "ĠÑĢаб оÑĤе",
+      "ĠÑĢабо ÑĤе",
+      "Ġмай бÑĥÑĤ",
+      "à¹Ģà¸ģ ษ",
+      "B aÅŁ",
+      "Ba ÅŁ",
+      "Ġ æĿ±äº¬",
+      "ĠæĿ± 京",
+      "наÑĩ ала",
+      "δ ει",
+      "δε ι",
+      "à¥Ī प",
+      "Ñĸ мÑĸ",
+      "Ñĸм Ñĸ",
+      "Ġf izik",
+      "Ġfi zik",
+      "Ġfiz ik",
+      "ว ล",
+      "ä¼ į",
+      "Ġ à¸Ĭà¸Ļะ",
+      "Ġà¸Ĭ à¸Ļะ",
+      "' ÑıÑĤ",
+      "'Ñı ÑĤ",
+      "н ил",
+      "ни л",
+      "и нов",
+      "ин ов",
+      "ĠÄijo án",
+      "รว à¸Ī",
+      "f et",
+      "fe t",
+      "à¹Į à¹Ĥ",
+      "Ġ маÑĤи",
+      "Ġм аÑĤи",
+      "ĠмаÑĤ и",
+      "Ġма ÑĤи",
+      "é¨ İ",
+      "Ðļ Т",
+      "à¹Ģส à¸Ļà¸Ń",
+      "à¹Ģสà¸Ļ à¸Ń",
+      "Ġм ав",
+      "Ġма в",
+      "lı ģına",
+      "lıģı na",
+      "lıģ ına",
+      "lıģın a",
+      "Ġпо Ñĩина",
+      "ĠпоÑĩ ина",
+      "ู à¸ķร",
+      "ูà¸ķ ร",
+      "ÑĨ еÑĢ",
+      "ÑĨе ÑĢ",
+      "uj ete",
+      "uje te",
+      "ujet e",
+      "Ġtah min",
+      "Ġвим ог",
+      "า à¸Ł",
+      "าภŁ",
+      "е дж",
+      "ед ж",
+      "ÏĦ εÏį",
+      "ÏĦε Ïį",
+      "ad la",
+      "ĠÄij Æ°Æ¡ng",
+      "Ġد استاÙĨ",
+      "Ġbas ın",
+      "Ġba sın",
+      "ĠÑħ в",
+      "Ġ reak",
+      "Ġre ak",
+      "ĠоÑĤ меÑĤ",
+      "æ³ ¥",
+      "Ġm áte",
+      "Ġmá te",
+      "Ġmát e",
+      "Ġzo run",
+      "Ġzor un",
+      "ãģ¨æĢĿ ãģĨ",
+      "Ġدر جة",
+      "ĠвÑĸд ÑģÑĥÑĤ",
+      "Ġع اÙħÙĦ",
+      "ĠعاÙħ ÙĦ",
+      "èĶ µ",
+      "Ġson raki",
+      "Ġsonra ki",
+      "Ġmoh li",
+      "Ġmohl i",
+      "и ваеÑĤ",
+      "ив аеÑĤ",
+      "ива еÑĤ",
+      "ĠпÑĸд ÑģÑĤав",
+      "Ġost rov",
+      "Ġostr ov",
+      "ान व",
+      "âĢŀ P",
+      "Ġви знаÑĩа",
+      "ĠвизнаÑĩ а",
+      "Ġprav dÄĽpodob",
+      "Ġz az",
+      "Ġza z",
+      "ìĿ´ 를",
+      "Ġдж еÑĢ",
+      "ĠÐł ад",
+      "ĠÐłÐ° д",
+      "ĠÑģеÑĢÑĮ ез",
+      "Ġ дем",
+      "Ġд ем",
+      "Ġде м",
+      "ÏĢ ή",
+      "ĠÐĦ вÑĢоп",
+      "ĠÐĦв ÑĢоп",
+      "ĠÄįesk é",
+      "ĠÄįe ské",
+      "ï¾ ı",
+      "Ġ ØŃÙĬ",
+      "ĠØŃ ÙĬ",
+      "ì¼ ĢìĿ´",
+      "ì¼Ģ ìĿ´",
+      "ĠØ® ÙĪÙĨ",
+      "ĠØ®ÙĪ ÙĨ",
+      "Âł L",
+      "ãģĦ ãģ«",
+      "из неÑģ",
+      "ĠÙħ ÙĤاÙħ",
+      "ĠÙħÙĤ اÙħ",
+      "ĠاÙĦ ØŃÙĦ",
+      "ĠاÙĦØŃ ÙĦ",
+      "ëĨ į",
+      "ĠØ¢ ÛĮا",
+      "ĠØ¢ÛĮ ا",
+      "ç¿ ¼",
+      "ï¼ ½",
+      "æ¸ IJ",
+      "ли вÑĸ",
+      "лив Ñĸ",
+      "ãģĦ ãģ¦ãģĦãĤĭ",
+      "ãģĦãģ¦ ãģĦãĤĭ",
+      "Ġ ÎijÎł",
+      "ĠÎij Îł",
+      "ĠиÑģполÑĮз ÑĥеÑĤÑģÑı",
+      "ĠиÑģполÑĮзÑĥ еÑĤÑģÑı",
+      "Ġm át",
+      "Ġmá t",
+      "Ġμε γά",
+      "Ġμεγ ά",
+      "ëħ ¼",
+      "æµ· éģĵ",
+      "ĠÙħØ´Ú© ÙĦات",
+      "ĠÙħØ´Ú©ÙĦ ات",
+      "Ñĩ на",
+      "'; ';",
+      "Ġ μία",
+      "Ġμ ία",
+      "Ïģ Ïİν",
+      "ÏģÏİ Î½",
+      "Ġby ste",
+      "ĠÑįлек ÑĤÑĢи",
+      "ĠÑįлекÑĤÑĢ и",
+      "ĠY ardım",
+      "ĠYard ım",
+      "ĠYar dım",
+      "Ġh át",
+      "Ġhá t",
+      "ĠÐĶ еÑĢжав",
+      ". С",
+      "Ġo rada",
+      "Ġor ada",
+      "Ġora da",
+      "Ġal anı",
+      "Ġalan ı",
+      "åľ° åŁŁ",
+      "ĠدÙĩ ÙĨد",
+      "мен ÑĪ",
+      "ĠоÑĢг анов",
+      "ĠоÑĢган ов",
+      "Ġع ص",
+      "ู à¸ĩส",
+      "ูà¸ĩ ส",
+      "ĠØ´ عر",
+      "Ġشع ر",
+      "Ġìĸ »",
+      "Ġά λλ",
+      "Ġάλ λ",
+      "Ġg ói",
+      "Ġgó i",
+      "ĠÙĨ اØŃ",
+      "å¼ ĺ",
+      "à¥įथ ल",
+      "i lim",
+      "il im",
+      "ili m",
+      "ëIJĺ ì§Ģ",
+      "Ġкон ÑĨе",
+      "ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł",
+      "Ġì¤Ģ ë¹Ħ",
+      "Ġostat nÃŃ",
+      "Ġvlá dy",
+      "Ġvlád y",
+      "ĠÑģо биÑĢа",
+      "ĠÑģоб иÑĢа",
+      "ĠìĹŃ ìĤ¬",
+      "à¹ģ à¸ģรม",
+      "à¹ģà¸ģ รม",
+      ". ï¼ı",
+      "Ùı ÙĪÙĨ",
+      "ÙıÙĪ ÙĨ",
+      "پ س",
+      "ĠW ikip",
+      "ĠWi kip",
+      "ĠWiki p",
+      "ĠWik ip",
+      "Ġ æ¾",
+      "Ġæ ¾",
+      "Ġж аÑĢ",
+      "容 æĺĵ",
+      "ĠprostÅĻed nictvÃŃm",
+      "Ġž eny",
+      "Ġže ny",
+      "Ġžen y",
+      "Ġèı²å¾ĭ宾 çĶ³åįļ",
+      "а ÑİÑĤÑģÑı",
+      "аÑİÑĤ ÑģÑı",
+      "Ġm iêu",
+      "Ġmi êu",
+      "Ġp enÃŃze",
+      "δ ιά",
+      "δι ά",
+      "ol dur",
+      "old ur",
+      "ĠпÑĢимеÑĢ но",
+      "ĠìŀĪ ê³ł",
+      "à¸ĩ à¸Ńย",
+      "к овий",
+      "ко вий",
+      "ков ий",
+      ". ÎŁ",
+      "à¹ĥ à¸Ħร",
+      "çĭ ł",
+      "ĠÐŁ Ñĸв",
+      "æĶ¹ éĿ©",
+      "ĠÐĿаÑģ еление",
+      "Å¡et ÅĻ",
+      "ÙĴ ب",
+      "Ġ âĶĢ",
+      "ĠâĶ Ģ",
+      "غ ÙĬÙĦ",
+      "ĠдÑĸÑıлÑĮ нÑĸÑģÑĤÑĮ",
+      "ĠÙĦ ÙĬس",
+      "ĠÙĦÙĬ س",
+      "Ġìĭľ ìŀ¥",
+      "ãĥŁ ãĥ¥",
+      "ĠÚ© ÙĪت",
+      "ĠÚ©ÙĪ ت",
+      "ĠÎĵ ι",
+      "ิ à¹Ģว",
+      "e ktor",
+      "ek tor",
+      "ekt or",
+      "ĠбÑĥд Ñĥ",
+      "ĠбÑĥ дÑĥ",
+      "но важ",
+      "нов аж",
+      "нова ж",
+      "Ñī аеÑĤÑģÑı",
+      "Ñīа еÑĤÑģÑı",
+      "Ġng ôn",
+      "ĠvÄĽ c",
+      "å¾ IJ",
+      "à¸Ńà¹Ģม ร",
+      "ัà¸į à¸Ĭ",
+      "ĠиÑģполÑĮз ÑĥÑİÑĤ",
+      "ĠиÑģполÑĮзÑĥ ÑİÑĤ",
+      "r ubu",
+      "ru bu",
+      "rub u",
+      "Ġnh á»±a",
+      "ãģĮ ãģĬ",
+      "ĠÐĵ аÑĢ",
+      "о ÑĢе",
+      "оÑĢ е",
+      "Ġз олоÑĤ",
+      "æ Ł³",
+      "æŁ ³",
+      "Ġ ÙĬØ´",
+      "ĠÙĬ Ø´",
+      "Ġповин нÑĸ",
+      "اÙĤ تص",
+      "ÙĦ ØŃ",
+      "ĠокÑĤ ÑıбÑĢÑı",
+      "ĠnÄĽk dy",
+      "Ġо бÑĢа",
+      "Ġоб ÑĢа",
+      "ست Ú¯ÛĮ",
+      "符 åIJĪ",
+      "Ġth iá»ĥu",
+      "æĺ¯ ä»Ģä¹Ī",
+      "Ġro zs",
+      "Ġroz s",
+      "ì½ľ 걸",
+      "Ġк аÑĦ",
+      "Ġка ÑĦ",
+      "åIJĮ æŃ¥",
+      "ì¼ ĵ",
+      "ÏĢ ÏĦÏħ",
+      "à¸ł ายà¹ĥà¸Ļ",
+      "ι ÏĥÏĦή",
+      "ιÏĥ ÏĦή",
+      "ĠدÙĪÙĦ ار",
+      "ĠÙħا ÙĬÙĪ",
+      "ĠÙħاÙĬ ÙĪ",
+      "Ġ peÄį",
+      "Ġp eÄį",
+      "Ġpe Äį",
+      "ัà¸ļ ม",
+      "ÎĻ ÎĶ",
+      "ı ydı",
+      "ıy dı",
+      "ัà¸ģ à¸Ĺ",
+      "à¸Ľà¸£à¸° à¸ĸม",
+      "κ αι",
+      "κα ι",
+      "Ġpro dej",
+      "Ġprod ej",
+      "ĠиÑİ Ð»Ñı",
+      "Ġv Å©",
+      "é© ±",
+      "Ġh vÄĽ",
+      "Ġhv ÄĽ",
+      "æĥ³ è¦ģ",
+      "ç¯ Ħ",
+      "ç ak",
+      "ça k",
+      "Ġм Ñıг",
+      "ım ın",
+      "ımı n",
+      "Ġdisp ozici",
+      "Ġu kaz",
+      "Ġuk az",
+      "r acak",
+      "ra cak",
+      "rac ak",
+      "Ġболез ни",
+      "ว à¹Ĥม",
+      "Ġз ел",
+      "ĠÐĴ ики",
+      "ĠÐĴи ки",
+      "ĠÐĴик и",
+      "ĠÐł од",
+      "ูà¸ģ à¸Ħ",
+      "í ij¸",
+      "Ġth ải",
+      "ĠbaÄŁ ımsız",
+      "ĠÑĢоÑģ Ñģий",
+      "ĠÐļ ам",
+      "ĠÐļа м",
+      "ĠиÑģполÑĮзов аниÑı",
+      "ĠиÑģполÑĮз ованиÑı",
+      "ĠиÑģполÑĮзовани Ñı",
+      "ĠØŃ Ø°",
+      "³ ³³³³³³³³",
+      "³³ ³³³³³³³",
+      "³³³³ ³³³³³",
+      "³³³ ³³³³³³",
+      "³³³³³³³³ ³",
+      "³³³³³³³ ³³",
+      "³³³³³ ³³³³",
+      "³³³³³³ ³³³",
+      "ĠاÙĨت ÙĤاÙĦ",
+      "Ġаб ÑģолÑİÑĤ",
+      "Ġ Ä±ÅŁÄ±k",
+      "ĠÄ±ÅŁÄ± k",
+      "ÏĦο γÏģαÏĨ",
+      "ĠболÑĮÑĪ ой",
+      "Ġعب ارت",
+      "Ġعبار ت",
+      "ÃŃ Å¾",
+      "Ġدر ست",
+      "Ġدرس ت",
+      "ĠÑģл ово",
+      "ĠÑģлов о",
+      "ĠÑģло во",
+      "à¥Ī Ċ",
+      "ب ÙĪب",
+      "بÙĪ ب",
+      "ĠÐĴ оÑĤ",
+      "ĠÐĴо ÑĤ",
+      "ว à¹Ħà¸Ľ",
+      "Ġbil inen",
+      "Ġbilin en",
+      "Ġ ÙĤÙĬ",
+      "ĠÙĤ ÙĬ",
+      "Ġbun ların",
+      "Ġbunlar ın",
+      "Ġbunları n",
+      "Ùij ت",
+      "Ġbas it",
+      "Ġba sit",
+      "ë¦ ¿",
+      "ائ رة",
+      "ائر ة",
+      "Ġp ů",
+      "Ġed ilmiÅŁ",
+      "Ġedilm iÅŁ",
+      "Ġedil miÅŁ",
+      "Ġ ä½IJ",
+      "ĠYön etim",
+      "ĠYönet im",
+      "Ùħ ÛĮر",
+      "ÙħÛĮ ر",
+      "Ġsp ou",
+      "Ġspo u",
+      "æ·± åľ³",
+      "Ġвза ÑĶм",
+      "ÎĻ ÎĽ",
+      "Ð ĥ",
+      "ĠдеÑĢжав ноÑĹ",
+      "Ġ mrt",
+      "Ġm rt",
+      "Ġmr t",
+      "ĠDe mir",
+      "ĠDem ir",
+      "é» İ",
+      "ĠÑĢег ÑĥлÑıÑĢ",
+      "Ġник огда",
+      "å¼ ¾",
+      "à¥ī ड",
+      "Ġг лаз",
+      "Ġгла з",
+      "ĠÙħÛĮ Ú©ÙĨ",
+      "ĠÙħÛĮÚ© ÙĨ",
+      "éĻIJ å®ļ",
+      "Ġнав к",
+      "Ġпод ÑĤ",
+      "ĠتصÙĪ ÛĮر",
+      "ĠاÙĦØŃ Ø¯ÙĬØ«",
+      "Ġdo Å¡lo",
+      "нÑİ Ñİ",
+      "ĠÑģ Ñħод",
+      "ĠÑģÑħ од",
+      "Ø· ÙĤØ©",
+      "ĠÑģенÑĤ ÑıбÑĢÑı",
+      "çī¹ æ®Ĭ",
+      "à¸ģาร à¹ģà¸Ĥ",
+      "á zd",
+      "áz d",
+      "ÑĶ ÑĤе",
+      "ĠΣ ε",
+      "ĠÙĦ ÙĥÙĦ",
+      "ĠÙĦÙĥ ÙĦ",
+      "åIJį åŃĹ",
+      "اÙĨ ÛĮا",
+      "اÙĨÛĮ ا",
+      "Ġc ins",
+      "Ġcin s",
+      "Ġci ns",
+      "기 ìĹħ",
+      "Ġ éŁ³",
+      "Ġé Ł³",
+      "ĠéŁ ³",
+      "éł ĥ",
+      "ย าย",
+      "ยา ย",
+      "ìļ ķ",
+      "ĠvÃŃ tÄĽz",
+      "à¥įर ब",
+      "Ġشر ÙĤÛĮ",
+      "ĠشرÙĤ ÛĮ",
+      "ĠbezpeÄį nost",
+      "Ġçerç ev",
+      "Ġ 맼",
+      "Ġë§ Ľ",
+      "c ky",
+      "ck y",
+      "ĵ ¨",
+      "ĠÑĥм оваÑħ",
+      "ĠÑĥмов аÑħ",
+      "л иÑħ",
+      "ли Ñħ",
+      "m eniz",
+      "men iz",
+      "meni z",
+      "Ġب Ú¯ÛĮر",
+      "Ġبگ ÛĮر",
+      "ÙĨ Ùī",
+      "Ġ à¸ģารà¹ģà¸Ĥ",
+      "Ġà¸ģาร à¹ģà¸Ĥ",
+      "ι Ïĥε",
+      "ιÏĥ ε",
+      "âĢ³ E",
+      "Ġdönem inde",
+      "리 카",
+      "Ġ åĪ°",
+      "ĠåĪ °",
+      "Ġhu kuk",
+      "Ġhuku k",
+      "а ÑĤоÑĢа",
+      "аÑĤ оÑĢа",
+      "аÑĤоÑĢ а",
+      "аÑĤо ÑĢа",
+      "ĠاÙĦ عÙĨ",
+      "ĠاÙĦع ÙĨ",
+      "ïº ĺ",
+      "ün üz",
+      "ünü z",
+      "Ñģ оÑĤ",
+      "Ñģо ÑĤ",
+      "ุ ษ",
+      "Ġd Æ°Æ¡ng",
+      "ov ny",
+      "Ġ ÑĦоÑĢма",
+      "ĠÑĦоÑĢм а",
+      "ĠÑĦоÑĢ ма",
+      "ãģĹ ãģ®",
+      "ãģĹãģ ®",
+      "ز ÙĬز",
+      "زÙĬ ز",
+      "ĠاÙĦÙĨ اس",
+      "Ġ Ñĩим",
+      "ĠÑĩ им",
+      "ĠÑĩи м",
+      "大 人",
+      "Ú¯ ÙĬ",
+      "ĠÐĵ оÑģп",
+      "é¢Ĩ 导",
+      "Ġn inh",
+      "Ġni nh",
+      "Ġnin h",
+      "Ġร าà¸Ħา",
+      "Ġราà¸Ħ า",
+      "ÙĤ اء",
+      "ìī ¬",
+      "ĠìĿ´ ìłĦ",
+      "ĠÃ¶ÄŁret men",
+      "ĠÑĨвеÑĤ а",
+      "ен ноÑģÑĤÑĮ",
+      "енно ÑģÑĤÑĮ",
+      "大 ãģį",
+      "ĠмиÑģÑĤ еÑĨÑĤ",
+      "ر ÙĪت",
+      "رÙĪ ت",
+      "p oÅĪ",
+      "po ÅĪ",
+      "ĠÅŀ irket",
+      "ĠкÑĢаÑģ ив",
+      "ĠÑĢеÑģ ÑĥÑĢÑģ",
+      "ĠÑĢеÑģÑĥÑĢ Ñģ",
+      "ä¹ ¾",
+      "Ġ ÙģÙĩ",
+      "ĠÙģ Ùĩ",
+      "ĠY Ãĸ",
+      "èĬ ³",
+      "μ ÏīÏĤ",
+      "ÄĽ ji",
+      "ÄĽj i",
+      "Ġв лаж",
+      "Ġвла ж",
+      "ĠÑĥв ели",
+      "ا ذا",
+      "اذ ا",
+      "ãĢĤ å¦Ĥæŀľ",
+      "ĠпÑĢи ÑģÑĥÑĤÑģÑĤв",
+      "ĠẤ n",
+      "æĢ ĸ",
+      "ĠÐľ еÑĤ",
+      "Ġje dna",
+      "Ġjed na",
+      "Ġjedn a",
+      "Ġc ục",
+      "Ġcụ c",
+      "ĠاÙĨت شار",
+      "Ġз окÑĢема",
+      "и ÑĩеÑģки",
+      "иÑĩеÑģ ки",
+      "ĠкÑĢаÑĹ Ð½Ð¸",
+      "ĠкÑĢаÑĹн и",
+      "и ÑĢÑĥ",
+      "иÑĢ Ñĥ",
+      "ĠÑĸн ÑĤеÑĢ",
+      "ĠÑĸнÑĤ еÑĢ",
+      "Ġан алог",
+      "Ñ Ľ",
+      "ี à¸ĭ",
+      "н Ñĥли",
+      "нÑĥ ли",
+      "нÑĥл и",
+      "ĠN inh",
+      "ĠNi nh",
+      "ĠNin h",
+      "еÑĢ аÑĤоÑĢ",
+      "еÑĢа ÑĤоÑĢ",
+      "Ġr uce",
+      "Ġru ce",
+      "ĠÑĪ кÑĸ",
+      "ĠÑĪк Ñĸ",
+      "تر ÙĨت",
+      "Ġson rası",
+      "Ġsonra sı",
+      "Ġ æį",
+      "Ġæ į",
+      "ÑĨен ÑĤÑĢа",
+      "ÑĨенÑĤ ÑĢа",
+      "Ġà¸Ńำ à¹Ģà¸ł",
+      "Ø· ÙĬ",
+      "ï¼Į å½ĵ",
+      "ĠÑĤ ÑĢеÑħ",
+      "ĠÑĤÑĢ еÑħ",
+      "Âł H",
+      "æ´ ª",
+      "ãĥ³ ãĥĦ",
+      "ãĥ³ãĥ Ħ",
+      "ĠвÑĸдповÑĸд алÑĮ",
+      "âĢĻ daki",
+      "âĢĻd aki",
+      "âĢĻda ki",
+      "á ÅĻi",
+      "áÅĻ i",
+      "ĠpÅĻ em",
+      "ĠpÅĻe m",
+      "t uk",
+      "tu k",
+      "ĠÙģر ÙħÙĪد",
+      "ĠÙģرÙħ ÙĪد",
+      "Ġ ìĿ¸ì¦Ŀ",
+      "ĠìĿ¸ ì¦Ŀ",
+      "สำ à¸Ļ",
+      "ìĥģ ìĿĺ",
+      "ÅĻ ÃŃm",
+      "ÅĻÃŃ m",
+      "æ¾ ¤",
+      "Ġ ÑĢей",
+      "ĠÑĢ ей",
+      "ĠÑĢе й",
+      "ĠлÑİб ой",
+      "u jte",
+      "uj te",
+      "ë³µ ì§Ģ",
+      "Ġ درس",
+      "Ġد رس",
+      "Ġدر س",
+      "ĠÐĴ лади",
+      "ĠÑģво им",
+      "ĠÑģвои м",
+      "ĠìĿ¸íĦ° ëĦ·",
+      "è± Ĭ",
+      "Ġн алог",
+      "Ġнал ог",
+      "ãĤĪ ãģ³",
+      "ĠØ® اطر",
+      "Ġ ìŀħëĭĪëĭ¤",
+      "Ġìŀħ ëĭĪëĭ¤",
+      "ãĢĤ ãģĹãģĭãģĹ",
+      "л аг",
+      "ла г",
+      "å° ĸ",
+      "ëĭ ¥",
+      "ìĬ¤ ëĬĶ",
+      "ìĭł ì²Ń",
+      "ãĥĩ ãĥ¼ãĤ¿",
+      "ĠÑĥÑĢов нÑı",
+      "Ġ무 ìĬ¨",
+      "ĠاÙĦØ£ رض",
+      "à¹ī à¸ķ",
+      "Ỽ t",
+      "ĠÙĨÛĮ رÙĪ",
+      "ĠÙĨÛĮر ÙĪ",
+      "å¢ ¨",
+      "ãĤ¶ ãĥ¼",
+      "r uba",
+      "ru ba",
+      "rub a",
+      "ĠÙĨØ´ دÙĩ",
+      "и лÑı",
+      "ил Ñı",
+      "a cÃŃm",
+      "ac ÃŃm",
+      "acÃŃ m",
+      "ãĥ© ãĤ¯",
+      "X H",
+      "Ġس رد",
+      "Ġسر د",
+      "Ġद स",
+      "t ember",
+      "tem ber",
+      "ĠDoÄŁ um",
+      "ĠDoÄŁu m",
+      "ĠпÑĢ оÑĢ",
+      "ĠпÑĢо ÑĢ",
+      "θ οÏĤ",
+      "θο ÏĤ",
+      "ĠiÅŁ e",
+      "à¸Ń à¸Ł",
+      "л аÑĪ",
+      "ла ÑĪ",
+      "اص ÙĦÙĩ",
+      "اصÙĦ Ùĩ",
+      "l ivÄĽ",
+      "li vÄĽ",
+      "liv ÄĽ",
+      "ë¶Ģ ë¶Ħ",
+      "н ак",
+      "на к",
+      "åįģ ä¸ī",
+      "ส าห",
+      "à¸Ľà¸£à¸°à¹Ģà¸Ĺศ à¹Ħà¸Ĺย",
+      "ãĤŃ ãĥ³ãĤ°",
+      "ĠмеÑĤ оÑİ",
+      "Ġkullan arak",
+      "âij ¡",
+      "ÛĮز ات",
+      "ĠÙħÙĪب اÛĮÙĦ",
+      "ĠзнаÑĩ иÑĤ",
+      "Ġзна ÑĩиÑĤ",
+      "Ġorgan izace",
+      "Ġorganiz ace",
+      "ÑĢ ии",
+      "ÑĢи и",
+      "ov na",
+      "Ġ ê²½ìłľ",
+      "Ġê²½ ìłľ",
+      "ãĢģ å½¼",
+      "Ġम स",
+      "Ġ à¹Ĥà¸Ľà¸£",
+      "Ġà¹Ĥ à¸Ľà¸£",
+      "L ARI",
+      "LA RI",
+      "LAR I",
+      "æĩ Ĥ",
+      "Ġ ва",
+      "Ġв а",
+      "ĠÙĥ ÙĨت",
+      "ĠÙĥÙĨ ت",
+      "ĠÑĢабоÑĤ а",
+      "ĠÑĢаб оÑĤа",
+      "ĠÑĢабо ÑĤа",
+      "Âł ĠÂłĠÂł",
+      "ÂłĠ ÂłĠÂł",
+      "ÂłĠÂł ĠÂł",
+      "好 äºĨ",
+      "ĠzamÄĽst n",
+      "ж енÑĮ",
+      "же нÑĮ",
+      "жен ÑĮ",
+      "Ġu kon",
+      "Ġuk on",
+      "nÄĽ né",
+      "nÄĽn é",
+      "Ġ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "ĠاÙĦخاص Ø©",
+      "ĠÄį asu",
+      "ĠÄįas u",
+      "å°ı 说",
+      "ĠØŃر کت",
+      "æij Ħ",
+      "Ïĩ Ïī",
+      "ĠÑģв еж",
+      "æĸ° éĹ»",
+      "Ġ ìĭ±",
+      "Ġìĭ ±",
+      "Ġe ÄŁer",
+      "ĠeÄŁ er",
+      "Ġsitu ace",
+      "Ġ ç·¨",
+      "Ġç ·¨",
+      "Ġç· ¨",
+      "f ik",
+      "fi k",
+      "ë§ Īëĭ¤",
+      "ë§Ī ëĭ¤",
+      "Îķ Îļ",
+      "Ġê°ľ ìµľ",
+      "Ġc Ãł",
+      "ا دث",
+      "اد ث",
+      "Ġsay ıda",
+      "Ġsayı da",
+      "ĠØ£ ÙģضÙĦ",
+      "ĠØ£Ùģ ضÙĦ",
+      "æ³ķ éĻ¢",
+      "Ġ .,",
+      "Ġ. ,",
+      "ĠTh Æ°Æ¡ng",
+      "Ïģ ÏĮÏĤ",
+      "ÏģÏĮ ÏĤ",
+      "ãģĹ ãĤĪãģĨ",
+      "Ç İ",
+      "æ ij¸",
+      "æij ¸",
+      "Ġ éĻ³",
+      "ĠéĻ ³",
+      "¥ IJ",
+      "ฤ à¸Ķ",
+      "Ġgi ảng",
+      "Ġgiả ng",
+      "Ġgiản g",
+      "ĠлÑİ Ð±Ð¾Ð²",
+      "ĠлÑİб ов",
+      "Ġek ran",
+      "о пиÑģ",
+      "оп иÑģ",
+      "еж дÑĥ",
+      "Ġназ ва",
+      "æĭ ĵ",
+      "ı f",
+      "à¹Ī à¸ģ",
+      "и ÑĩнÑĸ",
+      "иÑĩ нÑĸ",
+      "Ġ ê³Ħíļį",
+      "Ġê³Ħ íļį",
+      "à¸ł าà¸Ħม",
+      "à¸łà¸²à¸Ħ ม",
+      "Ġ اپ",
+      "Ġا Ù¾",
+      "리 ìĿĺ",
+      "ãģ§ãģĻ ãģĮ",
+      "Ġkon ci",
+      "Ġکار خاÙĨÙĩ",
+      "Ġ ä½ķ",
+      "ĠÑĤ ва",
+      "ĠÑĤв а",
+      "ĠÐŁ оÑģÑĤ",
+      "ĠÐŁÐ¾ ÑģÑĤ",
+      "ĠÐŁÐ¾Ñģ ÑĤ",
+      "ĠапÑĢ елÑı",
+      "ĠاÙĦع راÙĤ",
+      "ä¸Ń åįİ",
+      "à¹ĩ à¸Ńà¸ģ",
+      "à¥įत à¤ķ",
+      "Ġz ájem",
+      "Ġzá jem",
+      "Ġدر جÙĩ",
+      "Ġब à¥ľ",
+      "ĠÑģÑĤ ÑĢан",
+      "ĠÑģÑĤÑĢ ан",
+      "ĠÑģÑĤÑĢа н",
+      "èѦ å¯Ł",
+      "Ġyer leÅŁtir",
+      "ĠyerleÅŁ tir",
+      "ĠV Å©",
+      "ç¾İ åħĥ",
+      "Ġì¡° ê¸Ī",
+      "Ġ รà¸Ńà¸ĩ",
+      "Ġร à¸Ńà¸ĩ",
+      "Ġak adem",
+      "Ġaka dem",
+      "à¸Ħ à¸ĵะ",
+      "Ġpoz it",
+      "Ġkon eÄį",
+      "Ġkone Äį",
+      "è°ĥ æŁ¥",
+      "Ġ ãģĭ",
+      "ĠÄįerv ence",
+      "ĠOd kazy",
+      "ĠëıĦ ìĭľ",
+      "ั สà¸Ķ",
+      "ัส à¸Ķ",
+      "Ġg ái",
+      "ĠÐł об",
+      "Ġб оÑı",
+      "Ġбо Ñı",
+      "æī ©",
+      "å¼Ģ å±ķ",
+      "a nik",
+      "an ik",
+      "ani k",
+      "Ġvy ž",
+      "ĠbaÅŁ lay",
+      "Ġbak Ä±ÅŁ",
+      "ek ce",
+      "ÑģÑĤ ика",
+      "ÑģÑĤи ка",
+      "еÑĢа ÑĤÑĥÑĢа",
+      "еÑĢаÑĤÑĥ ÑĢа",
+      "Ġë¶Ħ ë¥ĺ",
+      "ĠPo Äįet",
+      "od áÅĻ",
+      "ëĭĺ ìĿĺ",
+      "Ġk lid",
+      "Ġkl id",
+      "Ġkli d",
+      "Û² Û¹",
+      "ĠÚĨ ÛĮز",
+      "m ür",
+      "Ġs ứ",
+      "ÙĬا ÙĨØ©",
+      "ÙĬاÙĨ Ø©",
+      "åĬ ±",
+      "Ġ oku",
+      "Ġo ku",
+      "Ġok u",
+      "Ġв оди",
+      "Ġво ди",
+      "Ġвод и",
+      "ĠزÛĮر ا",
+      "ĠزÛĮ را",
+      "大 åĪ©",
+      "ĠÙĦ ÛĮÙĨÚ©",
+      "ĠÙĬ جب",
+      "ĠÙĬج ب",
+      "Ùħ ÛĮÙĦ",
+      "ÙħÛĮ ÙĦ",
+      "ĠÏĥ ÏĦÏģα",
+      "æĻ ĵ",
+      "ิ สà¸ķ",
+      "ิส à¸ķ",
+      "ĠÅŁ iddet",
+      "ĠÑĢекомен да",
+      "Ġpožad av",
+      "Ġп ÑĸÑģ",
+      "åħ¬ å¼ı",
+      "Ġ Ú¯ÛĮرÛĮ",
+      "ĠÚ¯ ÛĮرÛĮ",
+      "ĠÚ¯ÛĮ رÛĮ",
+      "ĠÚ¯ÛĮر ÛĮ",
+      "к ÑĤа",
+      "кÑĤ а",
+      "ĠÙħÙĨ اطÙĤ",
+      "Ġfirm y",
+      "Ġfir my",
+      "Ġ à¹Ħà¸Ľ",
+      "Ġà¹Ħ à¸Ľ",
+      "Ġ ÎŃÏģγ",
+      "ĠÎŃ Ïģγ",
+      "å¿« éĢŁ",
+      "ãģĮ ãģªãģĦ",
+      "н еÑģÑĤи",
+      "не ÑģÑĤи",
+      "неÑģ ÑĤи",
+      "Ġ ç²¾",
+      "Ġç² ¾",
+      "ÑĢ ади",
+      "ÑĢа ди",
+      "ÑĢад и",
+      "ãĤĴ ãģĭ",
+      "ïº ª",
+      "ky nÄĽ",
+      "Ġह त",
+      "t ak",
+      "ta k",
+      "ĠÙĬÙĪÙĨ ÙĬÙĪ",
+      "ö ÄŁ",
+      "Ġ ÑĢÑĥк",
+      "ĠÑĢ Ñĥк",
+      "ĠÑĢÑĥ к",
+      "åľĭ éļĽ",
+      "Ñİ ÑģÑĮ",
+      "Ġдав но",
+      "Ġp opis",
+      "Ġpop is",
+      "Ġpo pis",
+      "ĠB Ä°L",
+      "ĠÙĨ ÙĤد",
+      "ĠÙĨÙĤ د",
+      "ĠÑģп ож",
+      "ÑĨион нÑĭÑħ",
+      "ĠÑĪ п",
+      "Ñĥ ÑİÑīиÑħ",
+      "ÑĥÑİ ÑīиÑħ",
+      "ÑĥÑİÑī иÑħ",
+      "ĠвоздÑĥ Ñħ",
+      "ÑĤ ие",
+      "ÑĤи е",
+      "ĠU ž",
+      "ÏĮ δ",
+      "à¸ģร าà¸Ħม",
+      "Ġalan ında",
+      "Ġalanı nda",
+      "Ġs ắt",
+      "ãĥIJ ãĤ¤",
+      "Ng Ãły",
+      "Ġ ë¹Į",
+      "Ġë¹ Į",
+      "ï¼ī ãģ¯",
+      "Ġ ä¿¡",
+      "Ðķ С",
+      "ĠT ato",
+      "ĠTa to",
+      "ĠTat o",
+      "Ġún ora",
+      "e rap",
+      "er ap",
+      "era p",
+      "Ä ł",
+      "ĠT áºŃp",
+      "Ġкомп ании",
+      "ãĥ© ãĤ¤ãĥĪ",
+      "ãĥ©ãĤ¤ ãĥĪ",
+      "éľĢ æ±Ĥ",
+      "Ġت ÙĪÙĤ",
+      "ĠتÙĪ ÙĤ",
+      "âĢĻ âĢĻ",
+      "ëŀį ëĭĪëĭ¤",
+      "ĠквÑĸÑĤ нÑı",
+      "Ġoyun cu",
+      "ÂĢÂĢÂĢÂĢ ÂĢÂĢÂĢÂĢ",
+      "åĨ Ĭ",
+      "Ġyap mÄ±ÅŁ",
+      "ัà¸ĩ à¹Ħม",
+      "Ġзап аÑħ",
+      "á la",
+      "ál a",
+      "ĠÑĤеÑħ ниÑĩеÑģ",
+      "Ġ ØŃص",
+      "ĠØŃ Øµ",
+      "ร à¸Ķ",
+      "å¼ Ħ",
+      "ĠÚ¯ÛĮ اÙĩ",
+      "اÙĩ رة",
+      "اÙĩر Ø©",
+      "Ġà¤ı ड",
+      "ним аеÑĤ",
+      "нима еÑĤ",
+      "ا دÙĨ",
+      "اد ÙĨ",
+      "Îľ Îij",
+      "Ġ 社",
+      "Ġç¤ ¾",
+      "аÑĢ Ñĩ",
+      "ت ز",
+      "æ¶ ¦",
+      "in izin",
+      "ini zin",
+      "iniz in",
+      "inizi n",
+      "Ġbey az",
+      "Ġ بÙĪÙĦ",
+      "Ġب ÙĪÙĦ",
+      "ĠبÙĪ ÙĦ",
+      "åĿ ¡",
+      "ãģ® ãĤĪãģĨãģ«",
+      "Ġyap tıģ",
+      "Ġyaptı ÄŁ",
+      "Ġd aģı",
+      "Ġda ģı",
+      "ĠdaÄŁ ı",
+      "ĠbaÅŁ arı",
+      "ĠbaÅŁar ı",
+      "Ġ ÏĢά",
+      "ĠÏĢ ά",
+      "ĠпÑĢод аж",
+      "B á»Ļ",
+      "Ġत त",
+      "Ġpod stat",
+      "Ġpods tat",
+      "Ġ æµģ",
+      "Ġæµ ģ",
+      "Ġzdrav ÃŃ",
+      "Ġ ç¡",
+      "Ġç ¡",
+      "Ġ opak",
+      "Ġo pak",
+      "Ġop ak",
+      "Ġhá»į a",
+      "æĭ Ķ",
+      "Ñĥ жд",
+      "Ñĥж д",
+      "Ġtr ứng",
+      "ÙĪر ÙĬØ©",
+      "ÙĪرÙĬ Ø©",
+      "Ñĭ л",
+      "um suz",
+      "ums uz",
+      "Ġ سبب",
+      "Ġسب ب",
+      "许 å¤ļ",
+      "å®ŀ éªĮ",
+      "Ġб оли",
+      "Ġбол и",
+      "Ġбо ли",
+      "Ġd uyá»ĩt",
+      "áºŃ c",
+      "ĠÐij ез",
+      "ĠبÙĦ ÙĨد",
+      "м м",
+      "ÑĢ ел",
+      "ÑĢе л",
+      "N Ä°",
+      "Ġ ãĥ¯",
+      "Ġãĥ ¯",
+      "éĭ ¼",
+      "ĠÑģв Ñı",
+      "Ġ åIJİ",
+      "ĠåIJ İ",
+      "Ġmu ht",
+      "Ġmuh t",
+      "ĠпÑĢоблем и",
+      "ĠÑĤÑıж ел",
+      "ĠС ем",
+      "ฤษ à¸łà¸²à¸Ħม",
+      "à¹Ī าà¸ķ",
+      "à¹Īา à¸ķ",
+      "ör ü",
+      "üy orum",
+      "üyor um",
+      "ĠاÙĦØ£ ØŃ",
+      "ĠÑģÑĤÑĢ аÑĪ",
+      "ĠÑģÑĤÑĢа ÑĪ",
+      "h oo",
+      "ho o",
+      "ध र",
+      "Ġt lak",
+      "Ġtl ak",
+      "Ġsrp na",
+      "ifik ace",
+      "Ġ reh",
+      "Ġre h",
+      "Ġr eh",
+      "Ġм инÑĥ",
+      "Ġмин Ñĥ",
+      "Ġми нÑĥ",
+      "ãĢĢ j",
+      "ĠгÑĢÑĥ пи",
+      "ĠгÑĢÑĥп и",
+      "Ġ άλ",
+      "Ġά λ",
+      "Ġolur sa",
+      "λογ ία",
+      "ĠÐĴ ик",
+      "ĠÐĴи к",
+      "Ġmüc adel",
+      "Ġz ávÄĽ",
+      "Ġzá vÄĽ",
+      "Ġzáv ÄĽ",
+      "ĠÑĦев ÑĢа",
+      "Äį ná",
+      "à¹Į à¹Ģà¸ĭ",
+      "ĠÙĦ ÙĦØŃ",
+      "ĠÙĦÙĦ ØŃ",
+      "ÑĢ ип",
+      "ÑĢи п",
+      "Ġб Ñĥк",
+      "ĠбÑĥ к",
+      "ãģĪ ãģªãģĦ",
+      "Ġpo rad",
+      "Ġpor ad",
+      "Ġsa mostat",
+      "Ġsam ostat",
+      "Ġsamo stat",
+      "Ġt esis",
+      "Ġte sis",
+      "Ġtes is",
+      "اب ÙĤÙĩ",
+      "ابÙĤ Ùĩ",
+      "Ġجد ÙĬدة",
+      "ĠجدÙĬد Ø©",
+      "éĢ Ĵ",
+      "âĶģ âĶ",
+      "س ÛĮÙĨ",
+      "سÛĮ ÙĨ",
+      "Ġgerek tiÄŁini",
+      "ียà¸Ļ à¸ļ",
+      "è¨Ģ ãģ£ãģ¦",
+      "ĠÑĸн ÑĤеÑĢеÑģ",
+      "ĠÑĸнÑĤеÑĢ еÑģ",
+      "ĠÑı ким",
+      "ĠÑıк им",
+      "Ġ æĢ»",
+      "ĠæĢ »",
+      "k ovou",
+      "ko vou",
+      "kov ou",
+      "Ġd emek",
+      "Ġde mek",
+      "Ġdem ek",
+      "اÙĨ ÙĬا",
+      "اÙĨÙĬ ا",
+      "Ġdom ů",
+      "Å¡ nÃŃ",
+      "ate ÅĻ",
+      "åĢ «",
+      "δο Ïĥη",
+      "Ġ 기ìĹħ",
+      "Ġ기 ìĹħ",
+      "åĶ ĩ",
+      "ì¹ ł",
+      "Ñĸ дÑĥ",
+      "Ñĸд Ñĥ",
+      "린 ìĿ´",
+      "æľĢ åĪĿ",
+      "è ¸ı",
+      "è¸ ı",
+      "æĥ³ åĪ°",
+      "à¥į बर",
+      "à¥įब र",
+      "Ġ ìŀĶ",
+      "Ġìŀ Ķ",
+      "ĠÑĢаз нÑĭÑħ",
+      "k rom",
+      "kr om",
+      "ι αν",
+      "ια ν",
+      "Ġд ÑĢÑĥз",
+      "ĠдÑĢÑĥ з",
+      "ĠдÑĢ Ñĥз",
+      "ä »¿",
+      "ä» ¿",
+      "Ġê·¸ ëłĩ",
+      "Ġд алÑĸ",
+      "Ġда лÑĸ",
+      "Ġдал Ñĸ",
+      "æķĪ æŀľ",
+      "Ġह व",
+      "è¼ Ŀ",
+      "Ġì°¸ ê³ł",
+      "Ġ ìĨĶ",
+      "ĠìĨ Ķ",
+      "Ġz nal",
+      "Ġzn al",
+      "ĠпеÑĢ Ñģ",
+      "ÙIJ Ùij",
+      "ĠÑĤ еж",
+      "ĠÑĤе ж",
+      "åĭ Ł",
+      "ι θ",
+      "Äį ů",
+      "Ġe kip",
+      "Ġek ip",
+      "Ġk hung",
+      "Ġkh ung",
+      "Ġkhu ng",
+      "éĹ ĺ",
+      "ĠتصÙħ ÛĮÙħ",
+      "о иÑĤ",
+      "ĠÑħ ол",
+      "æĬ ŀ",
+      "a mam",
+      "am am",
+      "ama m",
+      "Ġâĸ ³",
+      "ãģ ĩ",
+      "Ġع ÙĨÙĩ",
+      "ĠعÙĨ Ùĩ",
+      "Ġì°¸ ê°Ģ",
+      "ĠÎļ ÏĮ",
+      "åı¤ å±ĭ",
+      "к овоÑĹ",
+      "ков оÑĹ",
+      "ково ÑĹ",
+      "ศ à¸Ī",
+      "олог иÑı",
+      "ĠÙħØ« بت",
+      "ĠÐļÑĢа ÑĹна",
+      "ĠмеÑģÑı ÑĨев",
+      "Ġalın an",
+      "ĠÏĢÏģα γμα",
+      "Ġ ìŀ¡ëĭ´",
+      "Ġìŀ¡ ëĭ´",
+      "Ġп лод",
+      "Ġпл од",
+      "Ġпло д",
+      "ĠÑĤка ни",
+      "ÑģÑĭ лки",
+      "ÑģÑĭл ки",
+      "سط س",
+      "ra nÄĽ",
+      "ran ÄĽ",
+      "к аж",
+      "ка ж",
+      "е маÑĤи",
+      "ем аÑĤи",
+      "ема ÑĤи",
+      "Ġز ÛĮست",
+      "ĠزÛĮ ست",
+      "æ¿ Ł",
+      "Ġpop lat",
+      "Ġpo plat",
+      "γ ÎŃν",
+      "íĨł íĨł",
+      "Ġt ây",
+      "Ġìµľ ê·¼",
+      "ãĥ© ãĥ³ãĤ¹",
+      "ãĥ©ãĥ³ ãĤ¹",
+      "Ġgün eÅŁ",
+      "Ġ ÙģÙĤ",
+      "ĠÙģ ÙĤ",
+      "ĠsaÄŁ layan",
+      "ĠsaÄŁlay an",
+      "ĠØŃ Ø²Ø¨",
+      "à¥ģल न",
+      "ĠB ilim",
+      "ĠBi lim",
+      "ĠBil im",
+      "ĠB atı",
+      "ĠBa tı",
+      "ĠBat ı",
+      "æł· çļĦ",
+      "δ ικ",
+      "δι κ",
+      "α ÏģίοÏħ",
+      "αÏģ ίοÏħ",
+      "Ġ ìĽĢ",
+      "ĠìĽ Ģ",
+      "Ġl á»Ńa",
+      "ÙĨ ÙĪع",
+      "çİ ²",
+      "а ном",
+      "ан ом",
+      "ано м",
+      "Ġst átnÃŃ",
+      "Ġstát nÃŃ",
+      "Ġ äºİ",
+      "Ġm ùi",
+      "ĠÄij á»Ļt",
+      "ĠÄijá»Ļ t",
+      "æ² ĥ",
+      "åħ¬ åľĴ",
+      "ĠÑģ ÑĮогоднÑĸ",
+      "но Ñģи",
+      "ноÑģ и",
+      "Z a",
+      "Ġд ли",
+      "ĠÏĥÏħν ÎŃ",
+      "ĠV á»ĭ",
+      "m av",
+      "ma v",
+      "ĠM üslüman",
+      "/ ï¼ı",
+      "ĠзаÑī иÑĤ",
+      "é ĸī",
+      "éĸ ī",
+      "Ġ çģ«",
+      "Ġçģ «",
+      "Ġ å·Ŀ",
+      "Ġå· Ŀ",
+      "Ġ аж",
+      "Ġа ж",
+      "è¿ĩ æĿ¥",
+      "à¸Ĺ าà¸Ļ",
+      "ĠAr aÅŁtır",
+      "ĠAra ÅŁtır",
+      "Õ¡ Õ",
+      "Ġpo mÄĽr",
+      "Ġpom ÄĽr",
+      "Ġd ům",
+      "Ġdů m",
+      "å¦ ®",
+      "Ġhlav nÄĽ",
+      "Ġfin ans",
+      "Ġfinan s",
+      "Ġ γνÏī",
+      "Ġγ νÏī",
+      "ÏĥÏĦη μα",
+      "ï¼Į çĶ¨",
+      "ìĭŃ ìĭľìĺ¤",
+      "ĠÙħ ثاÙĦ",
+      "ĠÙħØ« اÙĦ",
+      "- Ðij",
+      "ÑĨÑĸй нÑĸ",
+      "Ġد ستÙĩ",
+      "Ġدست Ùĩ",
+      "Ġدس تÙĩ",
+      "à¥ī स",
+      "ÑĢ Ñĸп",
+      "ÑĢÑĸ п",
+      "ĠpÅĻi pom",
+      "ĠpÅĻip om",
+      "Ġ ÙĪÙĦÙĬ",
+      "ĠÙĪ ÙĦÙĬ",
+      "ĠÙĪÙĦ ÙĬ",
+      "ĠÙĪ زÙĨ",
+      "ĠÙĪز ÙĨ",
+      "Ġelekt rik",
+      "Ġelektr ik",
+      "ĠQu ân",
+      "i vé",
+      "iv é",
+      "Ġl ẽ",
+      "ç®Ģ åįķ",
+      "Ġon lara",
+      "Ġonlar a",
+      "оÑģ лав",
+      "ìĭľ íĤ¤",
+      "ëª ¬",
+      "ĠÙħÙĤ دار",
+      "ĠÙħÙĤد ار",
+      "ĠOr ta",
+      "ĠOrt a",
+      "ĠS eç",
+      "ĠSe ç",
+      "ĠÙĨÙĪÙģ Ùħبر",
+      "ุà¸Ļ ายà¸Ļ",
+      "ĠÑĥм ови",
+      "ĠÑĥмов и",
+      "Ġपर म",
+      "Ġ strom",
+      "Ġst rom",
+      "Ġstr om",
+      "Ġstro m",
+      "ĠкÑĢа Ñīе",
+      "ç§ ¦",
+      "缸 æīĭ",
+      "鼻 è¦ĸ",
+      "Ġuygu lama",
+      "Ġuygulam a",
+      "Ġ ÑĢиз",
+      "ĠÑĢ из",
+      "æĪ ²",
+      "य र",
+      "ĠH lav",
+      "Ġ ìĭ¸",
+      "Ġìĭ ¸",
+      "Ġли пнÑı",
+      "ÅĪ ujÃŃ",
+      "ÑĢ из",
+      "ÑĢи з",
+      "é«ĺ éĢŁ",
+      "缸 å½ĵ",
+      "k enin",
+      "ke nin",
+      "ken in",
+      "Ġо ÑģÑĤанов",
+      "ĠоÑģÑĤ анов",
+      "ĠоÑģÑĤан ов",
+      "Ġbit k",
+      "Ġbi tk",
+      "ova ného",
+      "ovan ého",
+      "ované ho",
+      "ĠÐľ аÑĢи",
+      "ĠÐľÐ°ÑĢ и",
+      "ĠÐľÐ° ÑĢи",
+      "èµ ¶",
+      "ì½ ©",
+      "Ġölç ü",
+      "ĠС еÑĢед",
+      "ĠСеÑĢ ед",
+      "ĠTh á»Ŀi",
+      "Ïī να",
+      "Ïīν α",
+      "ÙĪ بة",
+      "ÙĪب Ø©",
+      "Ġch ụp",
+      "âĢĮ د",
+      "Ġch áy",
+      "ĠÐĴ ели",
+      "Ġоб ÑģÑĤ",
+      "ĠобÑģ ÑĤ",
+      "Ġìĭľ ì¦Į",
+      "د ÙħØ©",
+      "دÙħ Ø©",
+      "п од",
+      "по д",
+      "l ue",
+      "lu e",
+      "ĠдÑĸ лÑıн",
+      "ĠÙ¾ ÙĪست",
+      "ĠاÙĦ ÙĨس",
+      "ĠاÙĦÙĨ س",
+      "èĤ Į",
+      "ìĪĺ 를",
+      "Ġú rov",
+      "ĠÙħØ´ Ú©ÙĦ",
+      "ĠÙħØ´Ú© ÙĦ",
+      "éĩįè¤ĩ éĩįè¤ĩ",
+      "н ез",
+      "не з",
+      "Ġdop oruÄį",
+      "Ġtas arım",
+      "Ġtasar ım",
+      "íģ¬ 기",
+      "ìĿ´ ìħĺ",
+      "Ġde set",
+      "Ġdes et",
+      "Ġdese t",
+      "ĠÙħرتب Ø·",
+      "ัà¸Ĵ à¸Ļา",
+      "ัà¸Ĵà¸Ļ า",
+      "' ı",
+      "Ñĩ ки",
+      "ĠìŀĪ ëįĺ",
+      "ÑĪ ка",
+      "n ám",
+      "ná m",
+      "ÑģÑĤ ÑĢов",
+      "ÑģÑĤÑĢ ов",
+      "ÑģÑĤÑĢо в",
+      "à¥į सर",
+      "à¥įस र",
+      "нÑĥ лаÑģÑĮ",
+      "нÑĥла ÑģÑĮ",
+      "ãģ¡ãĤĩ ãģ£ãģ¨",
+      "Ġ å¦",
+      "Ġå ¦",
+      "γ ÏĮ",
+      "Ġ é»ij",
+      "Ġé» ij",
+      "X em",
+      "Ġt á»ĩ",
+      "Ġtá» ĩ",
+      "ĠëĮĢ íĨµëł¹",
+      "기 ê´Ģ",
+      "æīį èĥ½",
+      "è¯Ń è¨Ģ",
+      "ed eyse",
+      "ĠТ Ñĭ",
+      "ĠÑģо един",
+      "ĠìĹĨ ìĬµëĭĪëĭ¤",
+      "Ñı ÑİÑĤ",
+      "à¹ģ หล",
+      "à¹ģห ล",
+      "Ġì§Ģ ë°©",
+      "Ġosob nÃŃ",
+      "ÛĮ ÙĦÛĮ",
+      "ÛĮÙĦ ÛĮ",
+      "Ġавг ÑĥÑģÑĤа",
+      "Ñī ик",
+      "Ñīи к",
+      "Ġvý Å¡e",
+      "g th",
+      "gt h",
+      "ĠÏĢ αν",
+      "ĠÏĢα ν",
+      "ج ار",
+      "جا ر",
+      "Ġвид ов",
+      "Ġви дов",
+      "ìĿ´ ìĬĪ",
+      "ĠÐij аÑĢ",
+      "ĠÏĮ ÏĢοÏħ",
+      "æ¤ ħ",
+      "Ġع اÙĦÛĮ",
+      "ĠQ uyết",
+      "ĠQuy ết",
+      "Ãľ M",
+      "ãĥĿ ãĤ¤ãĥ³ãĥĪ",
+      "Ġ ê¹Į",
+      "Ġê¹ Į",
+      "Ġкан ди",
+      "k ového",
+      "kov ého",
+      "kové ho",
+      "ĠMerk ez",
+      "Ġy iy",
+      "Ġyi y",
+      "ĠpÅĻÃŃ spÄĽ",
+      "ĠÑĤемпеÑĢаÑĤÑĥ ÑĢÑĭ",
+      "ĠÙ¾ ÙĬ",
+      "ฤ ศà¸Ī",
+      "è°ĥ çĶ¨",
+      "ĠÑģÑĤоÑĢ онÑĥ",
+      "ĠÑģÑĤоÑĢон Ñĥ",
+      "à¹ī à¸Ĭ",
+      "好 ãģį",
+      ". Åŀ",
+      "Ġп ÑĢоз",
+      "ĠпÑĢ оз",
+      "ĠпÑĢо з",
+      "ÙĨت اج",
+      "鼻 åŃIJ",
+      ".: .:.",
+      ".:.: .",
+      ".:. :.",
+      "è¨ ĵ",
+      "и ÑĩеÑģкое",
+      "иÑĩеÑģ кое",
+      "Ġн оги",
+      "Ġно ги",
+      "Ġног и",
+      "Ġ λÎŃ",
+      "Ġλ ÎŃ",
+      "Ġsık ıntı",
+      "Ġê°Ģ 족",
+      "ĠتÙĨ ظÙĬÙģ",
+      "ĠتÙĨظ ÙĬÙģ",
+      "Ġö dül",
+      "ĠaÅŁaģı daki",
+      "Ġž elez",
+      "Ġže lez",
+      "ĠاÙĦع دÙĬد",
+      "غ ÙĨ",
+      "Ġокон Ñĩ",
+      "ÑĢем Ñı",
+      "ÑĢе мÑı",
+      "L Ä°",
+      "Ġne jd",
+      "Ġnej d",
+      "Ġ ÏĢλα",
+      "ĠÏĢ λα",
+      "Ñģ ко",
+      "Ñģк о",
+      "Ġ ìĪĻ",
+      "ĠìĪ Ļ",
+      "ĠÙ¾ ÙĪÙĦ",
+      "θεν ήÏĤ",
+      "Ġ주 ìļĶ",
+      "Ġ æĬ¥",
+      "ĠæĬ ¥",
+      "ĠÙħ Ùħا",
+      "ĠÙħÙħ ا",
+      "Ðł Ð¡Ðł",
+      "ĠÑĢа дÑĸ",
+      "ĠÑĢад Ñĸ",
+      "ä¸Ģ ç§į",
+      "é¾ Ħ",
+      "Ġsö yl",
+      "Ġsöy l",
+      "Ïģκε ια",
+      "Ïģκ εια",
+      "Ġзем лÑĸ",
+      "Ġve Äįer",
+      "g eç",
+      "ge ç",
+      "س تÙħ",
+      "ست Ùħ",
+      "Ġse fer",
+      "ĠÑģ вÑĸд",
+      "ĠÑģв Ñĸд",
+      "ï»Ł ï»",
+      "а лов",
+      "ал ов",
+      "ало в",
+      "ìĬ¤ 를",
+      "âī ¥",
+      "ĠتÙĦ ÙģÙĨ",
+      "ĠتÙĦÙģ ÙĨ",
+      "åİ» äºĨ",
+      "़ à¥ĭà¤Ĥ",
+      "़à¥ĭ à¤Ĥ",
+      "ĠÑĦоÑĢм е",
+      "ĠÑĦоÑĢ ме",
+      "d üm",
+      "dü m",
+      "åħ ģ",
+      "ÑĢ ап",
+      "ÑĢаР¿",
+      "ÑĢа п",
+      "ĠV Æ°Æ¡ng",
+      "à¸Ńะ à¹Ħร",
+      "ัà¸ģษ à¸ĵ",
+      "Ġ åį³",
+      "Ġåį ³",
+      "ĠاÙĦ رÙħ",
+      "ĠاÙĦر Ùħ",
+      "ĠзаÑħиÑģÑĤ Ñĥ",
+      "° E",
+      "o dÃŃ",
+      "od ÃŃ",
+      "Ġव न",
+      "ĠÄij èn",
+      "Ġ åıĹ",
+      "Ġåı Ĺ",
+      "èIJ½ ãģ¡",
+      "Ġ zim",
+      "Ġz im",
+      "Ġzi m",
+      "리 ì¦Ī",
+      "èĪ Ĵ",
+      "Ġзб ÑĸÑĢ",
+      "Ġ ä»·æł¼",
+      "ĠлÑİ Ð´Ð¸Ð½Ð°",
+      "ĠлÑİд ина",
+      "ĠлÑİди на",
+      "ĠÐŁÐ¾Ñģ иланнÑı",
+      "и Ñī",
+      "ĠÎ ¨",
+      "ิà¸ģ ายà¸Ļ",
+      "ิà¸ģา ยà¸Ļ",
+      "Ġbu dete",
+      "Ġbud ete",
+      "Ġbude te",
+      "Ġз ÑĢоÑģÑĤ",
+      "Ġ vyk",
+      "Ġv yk",
+      "Ġvy k",
+      "ĠÐĹ ÐµÐ¼",
+      "ĠиÑİ Ð½Ñı",
+      "ĠmÄĽ lo",
+      "ĠmÄĽl o",
+      "ÙĦ اÙģ",
+      "ÙĦا Ùģ",
+      "Ġ ÙĪØ´",
+      "ĠÙĪ Ø´",
+      "ĠÑģп ÑĢави",
+      "ĠÑģпÑĢав и",
+      "ãģĻ ãģİ",
+      "ĠгÑĢа дÑĥ",
+      "ĠгÑĢ адÑĥ",
+      "R oz",
+      "Ro z",
+      "ι νή",
+      "ιν ή",
+      "Ġch á»ĵng",
+      "ä¸Ģ åį·",
+      "Ġ Xem",
+      "ĠX em",
+      "ĠÑģимв ол",
+      "ĠÑģим вол",
+      "Ġod mÃŃt",
+      "ĠÑĢÑıд ом",
+      "ĠÑĢÑı дом",
+      "ĠÑĩеÑĢв нÑı",
+      "à¸ģระ à¸Ĺ",
+      "人 人",
+      "æ°Ĺ æĮģãģ¡",
+      "un daki",
+      "und aki",
+      "unda ki",
+      "åľĭ 家",
+      "εÏģ μαν",
+      "Ġ лÑĮ",
+      "Ġл ÑĮ",
+      "ĠN üfus",
+      "Ġм еÑĢе",
+      "ĠмеÑĢ е",
+      "بر اÙĬر",
+      "н аннÑı",
+      "Ġ наÑĢ",
+      "Ġн аÑĢ",
+      "Ġна ÑĢ",
+      "Ġt ấm",
+      "æĸ½ å·¥",
+      "é¡ ¯",
+      "Ġh è",
+      "æĺİ çĻ½",
+      "Ġдо гов",
+      "Ġдог ов",
+      "ĠÙģ رÙħ",
+      "ĠÙģر Ùħ",
+      "èĢ Ĺ",
+      "ìĬ¤ ìĿĺ",
+      "ìĦ¸ ëĮĢ",
+      "è¯ ļ",
+      "Ġнеб олÑĮ",
+      "Ġ à¸Ľà¸£à¸°à¸ģ",
+      "Ġà¸Ľà¸£à¸° à¸ģ",
+      "Ġì¹ ¼",
+      "Ġov liv",
+      "Ġ NGC",
+      "ĠN GC",
+      "ĠNG C",
+      "ãĢĤ ä¸į",
+      "ا ÙĦÙī",
+      "اÙĦ Ùī",
+      "æī £",
+      ". ÐIJ",
+      "ÑĢа ÑģÑĤа",
+      "ÑĢаÑģ ÑĤа",
+      "ÑĢаÑģÑĤ а",
+      "ĠÃĩ ev",
+      "ãģ£ ãģ¡",
+      "ãģ£ãģ ¡",
+      "ï¼Į éĥ½",
+      "Ġrov nÄĽÅ¾",
+      "ĠÏĩÏģÏĮ νια",
+      "Ġì¡° ìĦł",
+      "ĠØ¢ باد",
+      "Ġآب اد",
+      "ĠÐľ аÑģ",
+      "ĠÐľÐ° Ñģ",
+      "çĻ¼ å±ķ",
+      "ä» Ķ",
+      "Ġkend isini",
+      "Ġkendisi ni",
+      "à¹Īà¸Ńà¸ĩ à¹Ģà¸Ĺ",
+      "ĠV ÄĽ",
+      "Ġr ượu",
+      "Ġm áme",
+      "Ġmá me",
+      "Ġmám e",
+      "ĠоÑĩеÑĢед ÑĮ",
+      "Ġسب تÙħبر",
+      "Ġб ок",
+      "Ġбо к",
+      "ì§Ģ ìĹŃ",
+      "Ġتا Ø«ÛĮر",
+      "Ġتاث ÛĮر",
+      "Ġl isans",
+      "Ġli sans",
+      "Ġlis ans",
+      "Ġger ektir",
+      "Ġgerek tir",
+      "Ġs izi",
+      "Ġsi zi",
+      "Ġsiz i",
+      "Ñĸ но",
+      "Ñĸн о",
+      "ĠM Ã¼ÅŁ",
+      "ĠMü ÅŁ",
+      "ãģı ãĤīãģĦ",
+      "ãģıãĤī ãģĦ",
+      "Ġза клÑİÑĩ",
+      "Ġзак лÑİÑĩ",
+      "ãģĵãģ¨ ãģ«",
+      "è¨Ģ ãģĦ",
+      "ãĢģ å°ı",
+      "Ġet mektedir",
+      "Ġetm ektedir",
+      "åł± åijĬ",
+      "Ġkar Ä±ÅŁ",
+      "Ġоб лад",
+      "Ġобла д",
+      "Ġобл ад",
+      "å¥ ij",
+      "ra cat",
+      "rac at",
+      "ĠارتÙģ اع",
+      "μ αι",
+      "μα ι",
+      "íĶ Ī",
+      "ĠÙĪ ÙĦÙħ",
+      "ĠÙĪÙĦ Ùħ",
+      "ëĬĶ ì§Ģ",
+      "lom ou",
+      "Ġли ÑĨа",
+      "ĠлиÑĨ а",
+      "ĠìĿĮ ìķħ",
+      "Ġhod nÄĽ",
+      "èĭ± æĸĩ",
+      "Â Ħ",
+      "à¹ī าà¸Ĥà¸Ńà¸ĩ",
+      "à¹īา à¸Ĥà¸Ńà¸ĩ",
+      "Ġê³Ħ ìķ½",
+      "åIJĦ ç§į",
+      "ĠÙħر Ú¯",
+      "éĶ ģ",
+      "Ġन द",
+      "ãĥĭ ãĥ¡",
+      "Ġ ем",
+      "Ġе м",
+      "Ġe leÅŁtir",
+      "Ġel eÅŁtir",
+      "Ġele ÅŁtir",
+      "Ġ íĬ¹ë³Ħ",
+      "ĠíĬ¹ ë³Ħ",
+      "ĠÎ¥ ÏĢο",
+      "Å¡ ker",
+      "Å¡k er",
+      "L ERÄ°",
+      "LER Ä°",
+      "æ² Ī",
+      "l ikleri",
+      "lik leri",
+      "likle ri",
+      "likler i",
+      "ĠÙħÙĩÙĨد سÛĮ",
+      "ĠbaÄŁ ır",
+      "dı ģını",
+      "dıģ ını",
+      "ĠاÙĦ تد",
+      "ĠاÙĦت د",
+      "à¸¸à¸Ľ à¸ģรà¸ĵ",
+      "ĠÑģлед ÑĥÑİÑīие",
+      "ĠÑģледÑĥÑİÑī ие",
+      "Ġì§ģ ìłij",
+      "å° ¤",
+      "ĠоÑģнов Ñĸ",
+      "Ġt ÄĽla",
+      "ĠtÄĽ la",
+      "ĠtÄĽl a",
+      "Ġп ак",
+      "Ġпа к",
+      "iz ace",
+      "iza ce",
+      "Ġná rod",
+      "Ġnáro d",
+      "a ný",
+      "an ý",
+      "ĠÑį п",
+      "Ġüç üncü",
+      "Υ Ρ",
+      "éĨ´ éĨ´",
+      "à¹Ģà¸ģ à¸Ńร",
+      "âĢĮاÙĨ بار",
+      "ç¶ Ļ",
+      "Îij Îł",
+      "ı lıģı",
+      "ılı ģı",
+      "ıl ıģı",
+      "ılıģ ı",
+      "ĠÃľ rün",
+      "Ġдоз вол",
+      "Ġ íĥĪ",
+      "Ġíĥ Ī",
+      "Ġà¤ĵ वर",
+      "è« ¸",
+      "èĺ ĩ",
+      "ĠпÑĢоÑģÑĤ ÑĢан",
+      "éĿĴ å¹´",
+      "ãģ® æĸ¹",
+      "ĠÚĨ Ú¯ÙĪÙĨÙĩ",
+      "ÙĦ Ø·",
+      "âĢľ æĪij",
+      "Ġëĭ¤ìļ´ ë°Ľ",
+      "ा .Ċ",
+      "ा. Ċ",
+      "Ġmüc adele",
+      "Ġmücadel e",
+      "Ġc ÃŃt",
+      "ĠcÃŃ t",
+      "à¹Īวม à¸ģ",
+      "ģ ına",
+      "ģı na",
+      "ģın a",
+      "ê°ľ ë°ľ",
+      "ĠÏĢ αιδ",
+      "ĠÏĢα ιδ",
+      "ĠÏĢαι δ",
+      "ض اÛĮ",
+      "ضا ÛĮ",
+      "Ġbor ç",
+      "íĬ ľ",
+      "ĠخدÙħ ت",
+      "Ġخد Ùħت",
+      "Ġu dál",
+      "Ġud ál",
+      "Ġ виг",
+      "Ġв иг",
+      "Ġви г",
+      "Ġ ë°°ìĨ¡",
+      "Ġë°° ìĨ¡",
+      "å¹ ¾",
+      "Ùİ Ø¬",
+      "Ġ ìĹĺ",
+      "ĠìĹ ĺ",
+      "çĢ ¬",
+      "ï Ģ",
+      "ĠÎij θή",
+      "пÑĢи клад",
+      "ĠпÑĢи Ñĩина",
+      "ĠпÑĢиÑĩин а",
+      "ĠпÑĢиÑĩ ина",
+      "ĠÙģ شار",
+      "æ »¿",
+      "æ» ¿",
+      "Ġd ostat",
+      "Ġdo stat",
+      "Ġdos tat",
+      "Ġdost at",
+      "Ġ졸 ìĹħ",
+      "Ġا رز",
+      "Ġار ز",
+      "ÙĪÙĦ ÙĪج",
+      "ÙĪÙĦÙĪ ج",
+      "س ÙĪ",
+      "æĺł çĶ»",
+      "Ġth ôi",
+      "Ġ ³³³",
+      "ĠÂł ³³",
+      "Ġ³³ Âł",
+      "à¹ģ à¸Ļะ",
+      "à¹ģà¸Ļ ะ",
+      "è¨Ń åĤĻ",
+      "Ġмног ие",
+      "ÑĤ оÑĦ",
+      "ÑĤо ÑĦ",
+      "i Å¡tÄĽ",
+      "iÅ¡ tÄĽ",
+      "à¤Ĺ ढ",
+      "Ġин дивидÑĥ",
+      "Ġ ìĥĿíĻľ",
+      "ĠìĥĿ íĻľ",
+      "Ġзов ÑģÑĸм",
+      "íĥ ķ",
+      "çľ ł",
+      "ĠêµŃ ëĤ´",
+      "e ptal",
+      "ep tal",
+      "ept al",
+      "r aci",
+      "ra ci",
+      "rac i",
+      "è¡ ¡",
+      "ãĦ ·",
+      "ĠSt ÅĻed",
+      "اÙĦ ÙĬا",
+      "اÙĦÙĬ ا",
+      "Σ Τ",
+      "Ľ °",
+      "ãĥī ãĥ«",
+      "á zÃŃ",
+      "áz ÃŃ",
+      "Ġа Ñģп",
+      "ĠаÑģ п",
+      "ĠdÄ±ÅŁ arı",
+      "ĠвиÑĢоб ниÑĨÑĤва",
+      "e za",
+      "ez a",
+      "ï¼Į ä¸įè¿ĩ",
+      "ï¼Įä¸į è¿ĩ",
+      "çĥ ¦",
+      "ãĥ³ ãĤ°ãĥ«",
+      "ãĥ³ãĤ° ãĥ«",
+      "Ġroz voj",
+      "ĠÙħÙĨت شر",
+      "ĠÑĥÑĤ еп",
+      "Ġد ÙĬÙĨ",
+      "ĠدÙĬ ÙĨ",
+      "ĠзаÑģоб Ñĸв",
+      "Ng Æ°á»Ŀi",
+      "ãĤ· ãĥ¼",
+      "ĠFran sız",
+      "ÎĻ Τ",
+      "ائ Ùģ",
+      "ι Ïĩ",
+      "ี à¹Ģม",
+      "à¥į मन",
+      "à¥įम न",
+      "à¥įम à¤ļ",
+      "Ġس عر",
+      "Ġسع ر",
+      "ï¾ Ŀ",
+      "ë°© ë²ķ",
+      "ĠС о",
+      "Ġà¤ĸ बर",
+      "ìĨĮ ê°ľ",
+      "Ġsl ova",
+      "Ġslo va",
+      "Ġslov a",
+      "Q PCP",
+      "QP CP",
+      "ĠK ız",
+      "ĠKı z",
+      "Ø· ÙģاÙĦ",
+      "Ø·Ùģ اÙĦ",
+      "Ġк оÑĢм",
+      "ĠкоÑĢ м",
+      "ĠìĹħ ëį°ìĿ´íĬ¸",
+      "es poÅĪ",
+      "esp oÅĪ",
+      "à¸Ķ าว",
+      "à¸Ķา ว",
+      "о ÑĢом",
+      "оÑĢ ом",
+      "оÑĢо м",
+      "ĠгÑĢа ÑĦ",
+      "ĠгÑĢ аÑĦ",
+      "Ġп ÑĸÑĪ",
+      "Ġ ë¿IJ",
+      "Ġë ¿IJ",
+      "ý v",
+      "С ам",
+      "Ġk rev",
+      "Ġkr ev",
+      "Ġkre v",
+      "ĠB unu",
+      "ĠBu nu",
+      "ĠBun u",
+      "Ġz obraz",
+      "Ġسخ ÙĨ",
+      "Ġ æĶ¯",
+      "ĠæĶ ¯",
+      "лÑİ Ð±",
+      "Ùİ Ø§ÙĨ",
+      "Ùİا ÙĨ",
+      "маÑĤ ÑĢива",
+      "λ εÏį",
+      "λε Ïį",
+      "Ġпо Ñħод",
+      "ĠпоÑħ од",
+      "Ġг ÑĢе",
+      "ĠгÑĢ е",
+      "çľĭ çĿĢ",
+      "à¸Īำ à¸ģ",
+      "ัà¸ĩà¸Ħ ม",
+      "Ġseç enek",
+      "Ä° stanbul",
+      "ĠвÑĸд мов",
+      "m iyor",
+      "mi yor",
+      "Ġm ụn",
+      "ìĿ´ ìĹIJ",
+      "ĠNh Æ°",
+      "Âł tom",
+      "Âłt om",
+      "lık ları",
+      "lıkla rı",
+      "lıklar ı",
+      "Âł Äij",
+      "ãĥ» ãĥŀ",
+      "Ġ Ùģت",
+      "ĠÙģ ت",
+      "ĠFakült esi",
+      "ìłĦ íŀĪ",
+      "éª ij",
+      "Ġìŀij ìĿĢ",
+      "ç¼ ĺ",
+      "ìº IJ",
+      "Ġmü zik",
+      "Ġmüz ik",
+      "а лÑĭ",
+      "ал Ñĭ",
+      "Ġp ozem",
+      "Ġpo zem",
+      "Ġpoz em",
+      "çĥ §",
+      "Ġ 常",
+      "Ġå¸ ¸",
+      "Å¡ il",
+      "Å¡i l",
+      "à¤Ĩ प",
+      "à¸ģำ หà¸Ļà¸Ķ",
+      "Ġگرد Ø´",
+      "λ ιά",
+      "λι ά",
+      "Ġö den",
+      "åıª è¦ģ",
+      "ĠÄIJ o",
+      "Ġstrat ej",
+      "Ġstra tej",
+      "Ġstrate j",
+      "ĠÙĩ تÙĦ",
+      "ÙĤ Ùģ",
+      "Ġkullan ılır",
+      "Ġkullanıl ır",
+      "ĠÑģп оÑģÑĤ",
+      "ĠÑģпоÑģ ÑĤ",
+      "ĠnÄĽ ho",
+      "ĠÐŁ еÑĢед",
+      "ĠÐŁÐµÑĢ ед",
+      "Ġиз меÑĢ",
+      "] ]>",
+      "]] >",
+      "ĠнÑĸк оли",
+      "Ġha yal",
+      "Ġhay al",
+      "Ġhaya l",
+      "Ġдод аÑĤков",
+      "Ġन à¤ķ",
+      "Ġins anın",
+      "Ġinsan ın",
+      "ุม à¸łà¸²à¸ŀ",
+      "ograf ie",
+      "в об",
+      "во б",
+      "ĠاÙĨ ساÙĨÛĮ",
+      "ĠاÙĨساÙĨ ÛĮ",
+      "Ġm ük",
+      "Ġmü k",
+      "ĠÑĥ меÑĢ",
+      "ĠÑĥм еÑĢ",
+      "оÑĩ нÑĭе",
+      "ëıĦ ìĿĺ",
+      "Ġ ara",
+      "Ġa ra",
+      "Ġar a",
+      "Ġë¹ ¨",
+      "Ġκ Ïį",
+      "л ой",
+      "ло й",
+      "Ñģи он",
+      "Ġroz dÃŃl",
+      "ay ıf",
+      "ayı f",
+      "ĠÙĪاØŃ Ø¯Ø©",
+      "ĠÙĪاØŃد Ø©",
+      "ĠÙĪا ØŃدة",
+      "о ÑĢалÑĮ",
+      "оÑĢ алÑĮ",
+      "оÑĢа лÑĮ",
+      "Ġpo chop",
+      "Ġpoc hop",
+      "éļ ¨",
+      "à¹īà¸Ń à¸ĩà¸Ļ",
+      "à¹īà¸Ńà¸ĩ à¸Ļ",
+      "Ġ ÙĪاÙĨ",
+      "ĠÙĪ اÙĨ",
+      "ĠÙĪا ÙĨ",
+      "ξ ε",
+      "Ġ μον",
+      "Ġμ ον",
+      "Ġμο ν",
+      "Ñĥ ÑĪка",
+      "ÑĥÑĪ ка",
+      "or dum",
+      "ord um",
+      "æ¸ħ æ¥ļ",
+      "ĠDe ÄŁ",
+      "ÏĢ Ïģο",
+      "ĠÙĪاÙĦ تÙĬ",
+      "ĠÙĪاÙĦت ÙĬ",
+      "Ġp okus",
+      "Ġpo kus",
+      "Ġpok us",
+      "íĽĦ 기",
+      "é¥ ®",
+      "æĹħ è¡Į",
+      "Ġжен Ñīин",
+      "ĠdoÄŁru dan",
+      "Ġ Ñıб",
+      "ĠÑı б",
+      "Ġza ÄįÃŃ",
+      "ĠzaÄį ÃŃ",
+      "Ġë³´ ìŬ",
+      "- CP",
+      "-C P",
+      "åIJ ¨",
+      "à¥ĭ à¤ĸ",
+      "ÑĢ огÑĢа",
+      "ÑĢо гÑĢа",
+      "ÑĢог ÑĢа",
+      "ler di",
+      "ìĬ ´",
+      "Ùı ÙĪا",
+      "ÙıÙĪ ا",
+      "Ġustanov enÃŃ",
+      "Ġд оÑģÑĤав",
+      "Ġдо ÑģÑĤав",
+      "ĠдоÑģÑĤ ав",
+      "Ġfır sat",
+      "ĠاÙĦÙħÙĩ ÙĨØ©",
+      "ĠвеÑī еÑģÑĤва",
+      "ĠвеÑīеÑģÑĤв а",
+      "Ġн еÑģп",
+      "Ġне Ñģп",
+      "ĠнеÑģ п",
+      "ĠاÙĦکتر ÙĪÙĨ",
+      "t aÅŁ",
+      "ta ÅŁ",
+      "æĪ Ĵ",
+      "Ġy urt",
+      "Ġyu rt",
+      "Ġgir di",
+      "ĠÐļ Ñĥб",
+      "Ġ 를",
+      "Ġë¥ ¼",
+      "ุ à¹Į",
+      "ãģĿãģĨ ãģª",
+      "à¹ī Ċ",
+      "ĠвÑĭ бÑĢа",
+      "ĠвÑĭб ÑĢа",
+      "k ovÄĽ",
+      "ko vÄĽ",
+      "kov ÄĽ",
+      "ĠS iz",
+      "ĠSi z",
+      "Ġ گاÙĩ",
+      "ĠÚ¯ اÙĩ",
+      "ĠЧ аÑģ",
+      "Ġзг Ñĸдно",
+      ". ÐŁ",
+      "å§ Ĭ",
+      "ĠÐļ ÑĥÑĢ",
+      "ĠìĿĺ íķ´",
+      "Ġet raf",
+      "Ġк аÑĪ",
+      "Ġка ÑĪ",
+      "ĠØ· ÛĮ",
+      "ξ ει",
+      "ξε ι",
+      "ç² Ĵ",
+      "ĠØ¢ Ø°",
+      "Ġböl ge",
+      "Ġbölg e",
+      "Ġम à¤ľà¤¬",
+      "Ġà¤®à¤ľ ब",
+      "ÙIJ Ùĥ",
+      "Ġvál ky",
+      "ãģł ãĤĪ",
+      "Ġmes aj",
+      "Ġmesa j",
+      "ĠpÅĻ ist",
+      "ĠpÅĻi st",
+      "Ġtyp u",
+      "Ġty pu",
+      "ĠкиÑĪ еÑĩ",
+      "ãĤī ãģ®",
+      "Ġkend isi",
+      "Ġkendi si",
+      "ĠвÑĸдб Ñĥва",
+      "ĠвÑĸдбÑĥ ва",
+      "ä¾ ¯",
+      "Ġди за",
+      "ãĢĢ Ċ",
+      "ĠпÑĢоÑĨеÑģ Ñĥ",
+      "ĠÑįлек ÑĤÑĢ",
+      "_P US",
+      "Ġмног иÑħ",
+      "Ġk ém",
+      "Ġké m",
+      "æŀ ª",
+      "çİ° 代",
+      "Ġ éħį",
+      "Ġé ħį",
+      "Ġéħ į",
+      "ë¡ Ń",
+      "ÑĤи ÑģÑı",
+      "Ġl ục",
+      "ĠÙĪ اÙĦØŃ",
+      "ĠÙĪاÙĦ ØŃ",
+      "ĠÙĪا ÙĦØŃ",
+      "p tal",
+      "pt al",
+      "pta l",
+      "ẵ ng",
+      "ẵn g",
+      "ÏĢ λ",
+      "Ġd olu",
+      "Ġdo lu",
+      "Ġdol u",
+      "Ġt òa",
+      "Ġин огда",
+      "ĠпоÑĢÑıд ок",
+      "Як Ñīо",
+      "âĶ ĺ",
+      "Ġغ ربÛĮ",
+      "Ġغرب ÛĮ",
+      "Ġغر بÛĮ",
+      "移 åĬ¨",
+      "ยà¸Ļ à¸ķร",
+      "ยà¸Ļà¸ķ ร",
+      "H DATA",
+      "HD ATA",
+      "_PUSH DATA",
+      "_PUS HDATA",
+      "ĠØ« ابت",
+      "åĮħ åIJ«",
+      "ĠÏĢ ÏģÎŃÏĢει",
+      "़ à¥ĭ",
+      "åIJį åīį",
+      "ÑĤ еÑĢи",
+      "ÑĤе ÑĢи",
+      "ÑĤеÑĢ и",
+      "ï½ ¯",
+      "Ġ åħĪ",
+      "Ġåħ Ī",
+      "н ед",
+      "не д",
+      "Ïģ οÏįν",
+      "Ïģο Ïįν",
+      "ÏģοÏį ν",
+      "в ей",
+      "ве й",
+      "èĤ ĸ",
+      "ĠÅĻed itel",
+      "Ġth ép",
+      "Ġthé p",
+      "ĠÙĩ ÙģتÙĩ",
+      "ĠÙĩÙģت Ùĩ",
+      "ĠдÑĢÑĥг а",
+      "ĠдÑĢÑĥ га",
+      "ER Ä°",
+      "Ġ Ả",
+      "ĠẠ¢",
+      "ĠпеÑĢ еÑĢ",
+      "ĠпеÑĢе ÑĢ",
+      "Ġж еÑģÑĤ",
+      "Ġже ÑģÑĤ",
+      "ĠÄij ẳng",
+      "ç¦ ®",
+      "алÑĮ ном",
+      "алÑĮно м",
+      "िष य",
+      "ид енÑĤа",
+      "иденÑĤ а",
+      "Ġآخر ÛĮÙĨ",
+      "Ġ æĵ",
+      "Ġæ ĵ",
+      "Ġ มหาว",
+      "Ġมห าว",
+      "ĠлÑİ ÑĤого",
+      "ĠлÑİÑĤ ого",
+      "Ġб ÑĸзнеÑģ",
+      "gı ç",
+      "Ġng á»ĵi",
+      "оÑĩ нÑĭй",
+      "Ġo Äįek",
+      "ĠoÄį ek",
+      "ĠÙħ رة",
+      "ĠÙħر Ø©",
+      "Ġt var",
+      "Ġtv ar",
+      "Ġsam ozÅĻejmÄĽ",
+      "ĠBeled iye",
+      "Ġв ода",
+      "Ġво да",
+      "Ġвод а",
+      "Ġ Ú¯ÛĮرد",
+      "ĠÚ¯ÛĮ رد",
+      "ĠÚ¯ÛĮر د",
+      "Ġг одÑĭ",
+      "Ġгод Ñĭ",
+      "ãģ« è¡Į",
+      "æĺ¯ æĪij",
+      "ÑĪ или",
+      "ÑĪи ли",
+      "Ġ åĽ½äº§",
+      "ĠåĽ½ 产",
+      "ủ i",
+      "ĠбÑĥд ÑĥÑĤÑĮ",
+      "ĠбÑĥдÑĥÑĤ ÑĮ",
+      "ĠбÑĥдÑĥ ÑĤÑĮ",
+      "ĠÑĢай онÑĥ",
+      "ĠÑĢайон Ñĥ",
+      "Ġì ĵ",
+      "ĠÙĪ اس",
+      "ĠÙĪا س",
+      "ĠاÛĮ شاÙĨ",
+      "ενο δο",
+      "Ġнез алеж",
+      "ĠÙ¾ شت",
+      "Ġپش ت",
+      "Ġgir iÅŁim",
+      "ĠgiriÅŁ im",
+      "Ġд еле",
+      "Ġдел е",
+      "Ġде ле",
+      "ĠاصÙģÙĩ اÙĨ",
+      "à¸Ķ วà¸ģ",
+      "ĠاÙĦ ÙĤÙĬ",
+      "ĠاÙĦÙĤ ÙĬ",
+      "à¹Į à¸Ī",
+      "ëª »",
+      "Ġd ru",
+      "Ġdr u",
+      "è¿ ¹",
+      "ад женнÑı",
+      "адж еннÑı",
+      "Ùģ ÙĨ",
+      "Ïĩ οÏĤ",
+      "Ïĩο ÏĤ",
+      "à¹Ĥ à¸Ī",
+      "e yle",
+      "ey le",
+      "å¡ ij",
+      "Ġu prav",
+      "Ġup rav",
+      "Ġз даÑĤ",
+      "Ġзд аÑĤ",
+      "Ġзда ÑĤ",
+      "Ġvid ÄĽt",
+      "Ġ à¸Ľà¸£",
+      "Ġà¸Ľ ร",
+      "Ġ ÑĦеÑĢ",
+      "ĠÑĦ еÑĢ",
+      "ÐĨ н",
+      "Ġ ìµľìĭł",
+      "Ġìµľ ìĭł",
+      "l oha",
+      "lo ha",
+      "loh a",
+      "ĠиÑģп ÑĭÑĤ",
+      "Ġ avan",
+      "Ġa van",
+      "Ġav an",
+      "Ġava n",
+      "γ οÏħ",
+      "γο Ïħ",
+      "ĠGi ấy",
+      "ãĤ»ãĥ³ ãĤ¿ãĥ¼",
+      "éģ į",
+      "е ÑĢаÑħ",
+      "еÑĢ аÑħ",
+      "еÑĢа Ñħ",
+      "Ġê°Ģ ì§Ģê³ł",
+      "Ġê°Ģì§Ģ ê³ł",
+      "Ġ ид",
+      "Ġи д",
+      "Ġmnoh em",
+      "æ£Ģ æµĭ",
+      "Ġet me",
+      "Ġetm e",
+      "Ġ تÙħر",
+      "Ġت Ùħر",
+      "ĠتÙħ ر",
+      "ĠbaÅŁ layan",
+      "ĠbaÅŁlay an",
+      "ãģı ãĤĮ",
+      "à¹ĩà¸Ļ à¸ģาร",
+      "ĠÑħаÑĢакÑĤеÑĢ из",
+      "Ġanlam ına",
+      "Ùı Ùĩ",
+      "ĠÑģеÑĢ пнÑı",
+      "çķª çµĦ",
+      "Ġ msgid",
+      "Ġmsg id",
+      "Ġms gid",
+      "Ġzv ÃŃÅĻ",
+      "ĠzvÃŃ ÅĻ",
+      "ĠíļĮ ìĽIJ",
+      "Ġya par",
+      "Ġyap ar",
+      "ä¼ĺ åĬ¿",
+      "ен нÑĭми",
+      "еннÑĭм и",
+      "ĠØ£ Ø«",
+      "ì² Ļ",
+      "Ġji ného",
+      "Ġjin ého",
+      "Ġjiné ho",
+      "Ġد Ùģاع",
+      "ĠدÙģ اع",
+      "ĠØŃÚ© ÙĪÙħ",
+      "Ġr izik",
+      "Ġri zik",
+      "ά λι",
+      "άλ ι",
+      "à¸ĩ à¸Ĥ",
+      "èµ ¢",
+      "Ġ ÎķÎĽ",
+      "ĠÎķ ÎĽ",
+      "Ġok um",
+      "Ġoku m",
+      "æĶ¶ åħ¥",
+      "ĠÚĨ ÛĮÙĨ",
+      "æľī çļĦ",
+      "ÑĨ ами",
+      "ÑĨа ми",
+      "d ÄĽnÃŃ",
+      "dÄĽ nÃŃ",
+      "ĠкоÑĢ аб",
+      "Ġко ÑĢаб",
+      "ĠкоÑĢа б",
+      "Ġa landa",
+      "Ġal anda",
+      "Ġalan da",
+      "ส à¸Ļาม",
+      "สà¸Ļ าม",
+      "ï¼ī ãģ®",
+      "ı sız",
+      "ıs ız",
+      "ısı z",
+      "ÙĬ ÙĬر",
+      "Ùĥ ÙĬØ©",
+      "ÙĥÙĬ Ø©",
+      "Ġnebo Å¥",
+      "Ġbit ir",
+      "Ġbi tir",
+      "Ġ ãĥľ",
+      "Ġãĥ ľ",
+      "Ùij ا",
+      "ï¼ Ĩ",
+      "ĠاÙĦت ارÙĬØ®",
+      "มห าà¸Ļà¸Ħร",
+      "at ürk",
+      "ãĤ¹ãĥĨ ãĥł",
+      "θή κη",
+      "Ġ καν",
+      "Ġκ αν",
+      "Ġκα ν",
+      "ĠS ür",
+      "ĠSü r",
+      "Ġd Ä±ÅŁÄ±",
+      "ĠdÄ±ÅŁ ı",
+      "Ġk ancel",
+      "Ġkan cel",
+      "ĠÙ¾ خش",
+      "h Pa",
+      "ĠÄį t",
+      "ĠпÑĢ оÑħ",
+      "ĠпÑĢо Ñħ",
+      "à¹ī à¸Ī",
+      "Ġê±° ìķ¼",
+      "ĠдеÑĢжав ного",
+      "èĤ¡ 举",
+      "ìĿ´ íģ¬",
+      "Ùĥ تÙĪر",
+      "Ùĥت ÙĪر",
+      "ĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢ",
+      "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢ",
+      "è¨ º",
+      "Ġب Ùħا",
+      "ĠبÙħ ا",
+      "ĠноÑĢм аÑĤив",
+      "ç iler",
+      "çi ler",
+      "à¸ĩ ศ",
+      "éĽĨ ä¸Ń",
+      "ÑĢ иÑģ",
+      "ÑĢи Ñģ",
+      "Ñĩ аÑĶ",
+      "Ñĩа ÑĶ",
+      "li ÄŁin",
+      "liÄŁi n",
+      "liÄŁ in",
+      "ãĥ¼ ãĤ¿ãĥ¼",
+      "ãĥ¼ãĤ¿ ãĥ¼",
+      "а ÑĢаÑĤ",
+      "аÑĢ аÑĤ",
+      "аÑĢа ÑĤ",
+      "åĬĽ éĩı",
+      "ĠÑģÑħ ем",
+      "åħ¥ åı£",
+      "离 å¼Ģ",
+      "ÏģοÏĨοÏģ ίεÏĤ",
+      "ĠÐĹ Ð°ÑĤем",
+      "ĠkarÅŁ ısında",
+      "ĠkarÅŁÄ± sında",
+      "ĠاÙĨت ظ",
+      "ï½ Ĭ",
+      "Ġ eÅŁit",
+      "ĠeÅŁ it",
+      "Ġyaz ılı",
+      "Ġyazı lı",
+      "Ðļ ом",
+      "ا زÙĬ",
+      "از ÙĬ",
+      "Ġki mse",
+      "Ġkim se",
+      "Ġkims e",
+      "ÑĢа Ñīи",
+      "ÑĢаÑī и",
+      "ัà¸ģ ส",
+      "Ġkan un",
+      "Ġka nun",
+      "Ġ ëIJĺìĹĪ",
+      "ĠëIJĺ ìĹĪ",
+      "Ġι ÏĥÏĩ",
+      "Ġм еди",
+      "Ġмед и",
+      "æ° §",
+      "ï¼Į åħ¶ä¸Ń",
+      "ï¼Įåħ¶ ä¸Ń",
+      "Ġyok tu",
+      "Ġ ãĤ½",
+      "ĠãĤ ½",
+      "ĠпÑĢи обÑĢеÑĤ",
+      "ÙĪ ÛĮØ´",
+      "ÙĪÛĮ Ø´",
+      "ãħł ãħł",
+      "Ġکرد Ùħ",
+      "Ġکر دÙħ",
+      "Ġdu var",
+      "Ġ ç¸",
+      "Ġç ¸",
+      "ıs ır",
+      "ısı r",
+      "Ġïº į",
+      "ĠÐłÐ¾Ñģ ÑģиÑı",
+      "à¹ī à¹ĥà¸Ļ",
+      "Ġ iÅŁi",
+      "Ġi ÅŁi",
+      "ĠiÅŁ i",
+      "d ol",
+      "do l",
+      "ĠÙħØŃ ÙħÙĪد",
+      "ĠÑģам ÑĭÑħ",
+      "ĠبÙĨابر اÛĮÙĨ",
+      "ãĤĮ ãģ©",
+      "ุà¸ķ สาห",
+      ". »",
+      "ู à¸Ĭ",
+      "ĠT ep",
+      "ĠTe p",
+      "ãģı ãĤĵ",
+      "Ġ å¸ĥ",
+      "Ġå¸ ĥ",
+      "Ġत ल",
+      "Ġs erm",
+      "Ġse rm",
+      "Ġser m",
+      "λ ÏĮγ",
+      "λÏĮ γ",
+      "ĠÅŀ imdi",
+      "Ġà¤ľà¤¨ त",
+      "- ÐĴ",
+      "è¨ ª",
+      "ĠвÑĸд пов",
+      "ิ à¸Ļà¸Ķ",
+      "ิà¸Ļ à¸Ķ",
+      "ι ÏĥμÏĮÏĤ",
+      "ιÏĥμ ÏĮÏĤ",
+      "Ω Τ",
+      "âĨĴ âĨĴ",
+      "ικο ί",
+      "ĠÑģп ÑĢава",
+      "ĠÑģпÑĢав а",
+      "æľº åħ³",
+      "Ġ ÃĿ",
+      "ĠÃ Ŀ",
+      "Ġм ова",
+      "Ġмо ва",
+      "Ġмов а",
+      "Ġмог ла",
+      "Ġд лиÑĤелÑĮ",
+      "ãģĹ ãģ¦ãĤĤ",
+      "ãģĹãģ¦ ãĤĤ",
+      "Ġβ Ïģί",
+      "Ġж од",
+      "éĹ ª",
+      "ĠмÑĸ ÑģÑĮкоÑĹ",
+      "η Ïģε",
+      "çł Ĥ",
+      "Ġkter ých",
+      "Ġkterý ch",
+      "ĠÐĵ олов",
+      "ĠÐĵол ов",
+      "Ġh á»Ļp",
+      "Ġhá»Ļ p",
+      "Ġpa nÃŃ",
+      "Ġpan ÃŃ",
+      "تÙħ اد",
+      "Â ľ",
+      "åįģ åħŃ",
+      "κ οÏĤ",
+      "κο ÏĤ",
+      "ев ÑĭÑħ",
+      "æĭ Ĵ",
+      "ĠÑģÑĤ оÑĢон",
+      "ĠÑģÑĤоÑĢ он",
+      "ĠÑģÑĤо ÑĢон",
+      "Ġph óng",
+      "ĠÑĥлÑĥÑĩ ÑĪ",
+      "m rt",
+      "mr t",
+      "m par",
+      "mp ar",
+      "ĠS lav",
+      "ĠSl av",
+      "Ġ kov",
+      "Ġk ov",
+      "Ġko v",
+      "ìĿ¸ ìĿĢ",
+      "Ġ åºĶ",
+      "Ġåº Ķ",
+      "ั à¸ļà¸Ħ",
+      "ัà¸ļ à¸Ħ",
+      "Ġk ì",
+      "Ġa Å¥",
+      "ÅĻ ÃŃt",
+      "ÅĻÃŃ t",
+      "ì° Į",
+      "Ùħ ÙĨت",
+      "ÙħÙĨ ت",
+      "ıyor lar",
+      "æŃ£ 常",
+      "н ÑıÑĤÑĤÑı",
+      "нÑıÑĤ ÑĤÑı",
+      "r acÃŃ",
+      "ra cÃŃ",
+      "rac ÃŃ",
+      "ĠпиÑĤ аниÑı",
+      "à¸Īะ à¹Ģà¸Ľ",
+      "ĠاÙĦÙĩ ÙĨد",
+      "ĠD ost",
+      "ĠDo st",
+      "ĠDos t",
+      "ĠÐĴаÑģ илÑĮ",
+      "Ġ íĥĦ",
+      "Ġíĥ Ħ",
+      "Ġn ạn",
+      "à¹Īà¸Ń à¹Ħà¸Ľ",
+      "رÙĪ ض",
+      "± ظ",
+      "Ġbych om",
+      "à¸Ļ วย",
+      "à¸Ļว ย",
+      "ãģł ãģ£ãģ¦",
+      "ĠÐĺ Ñģп",
+      "ĠÐĺÑģ п",
+      "à¸Ħร à¸ļ",
+      "Ġ สà¸ĸาà¸Ļ",
+      "Ġส à¸ĸาà¸Ļ",
+      "ĠëĤ ®",
+      "j iÅ¡tÄĽ",
+      "ji Å¡tÄĽ",
+      "ĠÙģ ÙĪت",
+      "ĠÙģÙĪ ت",
+      "ĠCh Æ°Æ¡ng",
+      "ĠìĿ´ 루",
+      "ĠpÅĻÃŃ tom",
+      "t ual",
+      "tu al",
+      "b ette",
+      "be tte",
+      "bet te",
+      "bett e",
+      "Ġsa bah",
+      "Ġsab ah",
+      "μ ί",
+      "Ġm á»ĩnh",
+      "Ġmá»ĩ nh",
+      "ãģ® ãģłãĤįãģĨ",
+      "ãģ®ãģł ãĤįãģĨ",
+      "Ġzam ÄĽÅĻ",
+      "åįģ äºĶ",
+      "ĠìķĬ ìĿĦ",
+      "اÙĨ ÙĪ",
+      "е нÑĥ",
+      "ен Ñĥ",
+      "ĠÑĥ год",
+      "ĠÑĥг од",
+      "ĠV Æ°á»Ŀn",
+      "Ġëĵ± ìĿĦ",
+      "Ġbelirt ilen",
+      "æŁ Ħ",
+      "Ġtek lif",
+      "¬ Ĥ",
+      "Ġпод аÑĤков",
+      "ĠاÙĦ ÙĨÙĩ",
+      "ĠاÙĦÙĨ Ùĩ",
+      "ï¼ ´",
+      "ìĽ ĥ",
+      "Ġ हल",
+      "Ġह ल",
+      "Ġ имÑĥ",
+      "Ġи мÑĥ",
+      "Ġим Ñĥ",
+      "ĠкоÑĤоÑĢ Ñĭм",
+      "ï¼Į 以åıĬ",
+      "ï¼Į以 åıĬ",
+      "ĠÑĤаб ли",
+      "ा :",
+      "Ġب رج",
+      "Ġبر ج",
+      "ĠÎŃ Î½Î±Î½",
+      "ĠÎŃνα ν",
+      "ĠÎŃν αν",
+      "ĠÙĬ ÙĪÙĦÙĬÙĪ",
+      "ý š",
+      "Ġ ÙĬج",
+      "ĠÙĬ ج",
+      "ĠÑĤÑĢо Ñħи",
+      "æŀ Ŀ",
+      "Ġd Ãły",
+      "ĠBur ada",
+      "ĠBu rada",
+      "ĠÏĥÏħ μβ",
+      "ĠÎij ÏģÏĩ",
+      "ĠÎijÏģ Ïĩ",
+      "Ġsoci álnÃŃ",
+      "Ġ Ú¯ÙĪ",
+      "ĠÚ¯ ÙĪ",
+      "Ġyan ıt",
+      "Ġyanı t",
+      "ãģ¯ ãģªãģĦ",
+      "ãģ® ä¸Ĭ",
+      "Ġn úi",
+      "ĠرÙģت ار",
+      "ĠÙħ رات",
+      "ĠÙħر ات",
+      "ز ÙħاÙĨ",
+      "زÙħ اÙĨ",
+      "าà¸Ī ารย",
+      "ĠÑĩиÑģ лÑĸ",
+      "Ġس ÙĨت",
+      "ĠسÙĨ ت",
+      "ĠÃĸzel likle",
+      "ì ĩ¼",
+      "ìĩ ¼",
+      "ĠÄį ÃŃm",
+      "AD DE",
+      "ADD E",
+      "ãģ® ãĤĪãģĨãģª",
+      "ÙĪÙĦÙĪ ÚĺÛĮ",
+      "ĠíĻľ ìļ©",
+      "ãĢģ ãģ©ãģĨ",
+      "ĠÎł ÏģÏī",
+      "çĻ» åł´",
+      "Ġнад аннÑı",
+      "Ġм еÑĢеж",
+      "ĠмеÑĢ еж",
+      "ĠмеÑĢе ж",
+      "Ġ ìĿµ",
+      "ĠìĿ µ",
+      "jÃŃ cÃŃch",
+      "jÃŃcÃŃ ch",
+      "it ou",
+      "ito u",
+      "ÙĤ ÙĪÙĦ",
+      "Ùħ ج",
+      "Ġب ÙĨد",
+      "ĠبÙĨ د",
+      "Ġön üne",
+      "Ġ ï½°",
+      "Ġï½ °",
+      "з в",
+      "Ġе ÑģÑĤе",
+      "Ðł Ðĺ",
+      "ÑĢ ол",
+      "ÑĢо л",
+      "a yla",
+      "ay la",
+      "Ġк лÑĥ",
+      "Ġкл Ñĥ",
+      "æݨ èĸ¦",
+      "ĠÑĢоз ÑĢаÑħ",
+      "Ġ ìĥģëĭ´",
+      "Ġìĥģ ëĭ´",
+      "ĠÙĨ سÙħØ©",
+      "ĠÙĨس ÙħØ©",
+      "Ġви Ñħод",
+      "à¥Ģ à¤Ĩà¤Ī",
+      "ĠпÑĢи ÑģÑĤÑĥп",
+      "ÙĴ ع",
+      "ĠteÅŁ ekkür",
+      "дÑı ки",
+      "Ġfi kir",
+      "Ġfik ir",
+      "ัศ à¸Ļ",
+      "ĠآزÙħ اÛĮØ´",
+      "Ġb izi",
+      "Ġbi zi",
+      "Ġbiz i",
+      "ÏĨ αÏģ",
+      "ÏĨα Ïģ",
+      "æľª æĿ¥",
+      "æIJ º",
+      "Ġδ Ïħνα",
+      "ĠδÏħ να",
+      "Ġ رÙĪÙħ",
+      "Ġر ÙĪÙħ",
+      "ĠرÙĪ Ùħ",
+      "Ġb undan",
+      "Ġbund an",
+      "Ġbun dan",
+      "ĠÙĤ اÙĦب",
+      "ĠÙĤاÙĦ ب",
+      "Ġ haft",
+      "Ġh aft",
+      "Ġha ft",
+      "Ġhaf t",
+      "å¿ ½",
+      "ĠÐľ оÑĢ",
+      "Ġzá pas",
+      "Ġzáp as",
+      "Ġ ë¹Ľ",
+      "Ġë¹ Ľ",
+      "å» ·",
+      "äºĪ ç´Ħ",
+      "Ġkh uyến",
+      "Ġ ÎijÎĵ",
+      "ĠÎij Îĵ",
+      "Ġìŀij ìĹħ",
+      "ड र",
+      "Ġjednodu ch",
+      "à¥ī म",
+      "ĠdeÄŁ ildi",
+      "ĠdeÄŁil di",
+      "Ġk olo",
+      "Ġko lo",
+      "Ġkol o",
+      "Ġد ÙĤÛĮ",
+      "л ами",
+      "ла ми",
+      "лам и",
+      "ĠH á»įc",
+      "ĠHá»į c",
+      "Ġप स",
+      "ĠÎł ÏģÏĮ",
+      "ĠâĹ ij",
+      "Ġ наÑģлÑĸд",
+      "Ġна ÑģлÑĸд",
+      "ĠнаÑģ лÑĸд",
+      "Ġ диви",
+      "Ġди ви",
+      "Ġдив и",
+      "ĠpÅĻes nÄĽ",
+      "ĠТак им",
+      "ĠТа ким",
+      "Ġru kou",
+      "Ġruk ou",
+      "ä¸Ģ åĪĩ",
+      "ĠÑģ пÑĢи",
+      "ĠÑģп ÑĢи",
+      "en ské",
+      "ens ké",
+      "æĹ ¦",
+      "ĠÙĤ ÙĨ",
+      "Ġú stav",
+      "िश त",
+      "à¹Į )",
+      "ĠT rang",
+      "ĠTr ang",
+      "ĠTra ng",
+      "ĠTran g",
+      "Ġmoh la",
+      "Ġmohl a",
+      "ĠÎķ λλην",
+      "Ġп оки",
+      "Ġпо ки",
+      "Ġпок и",
+      "ĠØ¢ Ùħار",
+      "ĠØ¢Ùħ ار",
+      "åIJ ¾",
+      "ĠÑĢ еÑģп",
+      "ĠÑĢе Ñģп",
+      "ĠÑĢеÑģ п",
+      "Ġta kdir",
+      "Ġtak dir",
+      "Ġrahat sız",
+      "éŁ³ ä¹IJ",
+      "Ġ âĶĥ",
+      "ĠâĶ ĥ",
+      "i lis",
+      "il is",
+      "ili s",
+      "ĠÙĪ اÙĦØ¥",
+      "ĠÙĪاÙĦ Ø¥",
+      "å® Ļ",
+      "Ñĥ мов",
+      "Ñĥм ов",
+      "ĠÐĽ иÑĤ",
+      "ĠÐĽÐ¸ ÑĤ",
+      ": :::|",
+      ":: ::|",
+      ":::: |",
+      "::: :|",
+      "åħ ½",
+      "ĠÙĨزد ÛĮÚ©",
+      "е лÑĸв",
+      "ел Ñĸв",
+      "елÑĸ в",
+      "θ οÏįν",
+      "θο Ïįν",
+      "ìĹIJìĦľ ëıĦ",
+      "èµĦ æł¼",
+      "çIJĨ 论",
+      "ĠKe mal",
+      "ĠKem al",
+      "Ġк еÑĢ",
+      "ษ ายà¸Ļ",
+      "Ġ åįİ",
+      "Ġåį İ",
+      ") ìĹIJ",
+      "Ġ ëĬĺ",
+      "ĠëĬ ĺ",
+      "ãĥĿ ãĥ¼ãĥĪ",
+      "ĠÐĹ Ð´",
+      "اص ÙĬÙĦ",
+      "Ġk atı",
+      "Ġka tı",
+      "Ġkat ı",
+      "ãĤĤãģĹ ãĤĮãģªãģĦ",
+      "Ġкажд ого",
+      "Ġ дÑĢ",
+      "Ġд ÑĢ",
+      "Ġfut bol",
+      "ÙĦ ÙĬÙģ",
+      "ÙĦÙĬ Ùģ",
+      "Ġì§Ģ ëĤľ",
+      "ĠÙ¾ÛĮØ´ ÙĨÙĩ",
+      "ü lük",
+      "ül ük",
+      "ülü k",
+      "Ġ à¸ķำà¸ļล",
+      "Ġà¸ķำ à¸ļล",
+      "Ġb áºŃc",
+      "Ġ åĽł",
+      "ĠåĽ ł",
+      "ik ler",
+      "Ïģ ιά",
+      "Ïģι ά",
+      "Ġв важа",
+      "Ġвваж а",
+      "Ġvy pl",
+      "Ġvyp l",
+      "Ġв низ",
+      "í Ģ",
+      "çľ ¾",
+      "ĠÑģ ила",
+      "ĠÑģи ла",
+      "ĠÑģил а",
+      "ĠналиÑĩи и",
+      "Ġع راÙĤ",
+      "ĠاÙĦÙħ Ùĥ",
+      "å°± ä¼ļ",
+      "Ġм Ñĸг",
+      "ĠмÑĸ г",
+      "ĠÎĮ μιλοÏĤ",
+      "Ñī его",
+      "Ñīе го",
+      "Ġíĸī ìłķ",
+      "Âł mph",
+      "Âłm ph",
+      "Ġma lé",
+      "Ġmal é",
+      "ĠÛĮ اÙģتÙĩ",
+      "ĠÛĮا ÙģتÙĩ",
+      "ĠÛĮاÙģت Ùĩ",
+      "Ġmn oha",
+      "Ġmnoh a",
+      "γ ά",
+      "Ġпо ÑģÑĤÑĢо",
+      "ĠпоÑģ ÑĤÑĢо",
+      "ĠпоÑģÑĤ ÑĢо",
+      "ĠاÙĦÙħ ÙĪس",
+      "ĠاÙĦÙħÙĪ س",
+      "Ġol ma",
+      "Ġolm a",
+      "ëī´ ìĬ¤",
+      "Ġt utar",
+      "Ġtu tar",
+      "Ġtut ar",
+      "ãĥ¼ãĥĵ ãĤ¹",
+      "à¥įथ न",
+      "-ли бо",
+      "æ¥Ń åĭĻ",
+      "ĠоÑģоб ливо",
+      "ĠоÑģоблив о",
+      "è® Ģ",
+      "ÙģÙĩ ÙĪÙħ",
+      "Ġk ẻ",
+      "Ġ Å¡tÄĽ",
+      "ĠÅ¡ tÄĽ",
+      "ĠÅ¡t ÄĽ",
+      "Ġc ầm",
+      "ĠÄįlán ky",
+      "ĠÄIJ iá»ĩn",
+      "( =",
+      "OV Ãģ",
+      "ul du",
+      "uld u",
+      "a ft",
+      "af t",
+      "Ġl ãi",
+      "Ġlã i",
+      "Ġd oldur",
+      "Ġdol dur",
+      "³³ ³³³³³³³³³",
+      "³³³³ ³³³³³³³",
+      "³³³ ³³³³³³³³",
+      "³³³³³³³³ ³³³",
+      "³³³³³³³ ³³³³",
+      "³³³³³ ³³³³³³",
+      "³³³³³³ ³³³³³",
+      "³³³³³³³³³ ³³",
+      "β ι",
+      "ãģ£ãģ¦ ãģįãģŁ",
+      "ì¶ľìŀ¥ ìķĪë§Ī",
+      "å¯ Ŀ",
+      "Ġë¶Ģ íĥģ",
+      "ĠاÙĦ اخ",
+      "Ġγ Ïħνα",
+      "à¤ı म",
+      "à¥Į ल",
+      "ع ادة",
+      "عا دة",
+      "عاد ة",
+      "Ġ κοÏħ",
+      "Ġκ οÏħ",
+      "Ġκο Ïħ",
+      "ĠÙħØ· رØŃ",
+      "ĠÑĩелов еÑĩ",
+      "Ġn umar",
+      "Ġnum ar",
+      "Ġnu mar",
+      "Ġnuma r",
+      "Ġ дина",
+      "Ġд ина",
+      "Ġди на",
+      "ÏĦ ÏģÎŃ",
+      "ÏĦÏģ ÎŃ",
+      "λ ικ",
+      "λι κ",
+      "Ġдол го",
+      "Ġnh iêu",
+      "ĠвоÑģ ÑģÑĤанов",
+      "ap ı",
+      "Ġ kanı",
+      "Ġk anı",
+      "Ġkan ı",
+      "ĠK ế",
+      "ãĤī ãģļ",
+      "Ġhar ek",
+      "Ġha rek",
+      "Ġhare k",
+      "ãģłãģij ãģ§",
+      "æ» ħ",
+      "Ġo hled",
+      "Ġoh led",
+      "е ÑĢим",
+      "еÑĢ им",
+      "еÑĢи м",
+      "ĠØŃ ÙĬÙĨ",
+      "ĠØŃÙĬ ÙĨ",
+      "ĠÙĤ Ùĩر",
+      "Ġब à¥Ŀ",
+      "اپ ÛĮÙħ",
+      "è¶ħ è¿ĩ",
+      "Ġ æħ",
+      "Ġæ ħ",
+      "Ġت Ùģس",
+      "ĠتÙģ س",
+      "as ıyla",
+      "ası yla",
+      "б иÑĤ",
+      "би ÑĤ",
+      "ĠØŃ Ø§Ø¬",
+      "ĠÑĤÑĢеб ованиÑı",
+      "Ġ æݨ",
+      "Ġæİ ¨",
+      "Ġ ç±³",
+      "Ġç± ³",
+      "ãĤ³ ãĥ¼ãĥī",
+      "ĠÑĥ Ñģи",
+      "ĠÑĥÑģ и",
+      "Ġاخ ÙĦاÙĤ",
+      "Ġdo stup",
+      "Ġdost up",
+      "Ġع ÙĦاÙĤ",
+      "ĠعÙĦ اÙĤ",
+      "िव स",
+      "Ġ оди",
+      "Ġо ди",
+      "Ġод и",
+      "t ej",
+      "te j",
+      "Ġthá» ıa",
+      "ัà¸ģษ à¸ĵะ",
+      "ัà¸ģษà¸ĵ ะ",
+      "ĠÑĢаÑģ к",
+      "ĠÑĢа Ñģк",
+      "ĠÐĿ аÑĢод",
+      "ĠÐĿа ÑĢод",
+      "Ġза кÑĥп",
+      "Ġзак Ñĥп",
+      "o že",
+      "ož e",
+      "Ġاج را",
+      "Ġاجر ا",
+      "ê´ij ê³ł",
+      "аÑĢÑĤ ам",
+      "Ġп еÑĢеж",
+      "ĠпеÑĢ еж",
+      "ĠпеÑĢе ж",
+      "èij£ äºĭ",
+      "ĠÑı коÑģÑĤÑĸ",
+      "ĠÑıк оÑģÑĤÑĸ",
+      "Ġв Ñĥл",
+      "м он",
+      "мо н",
+      "Ġch lap",
+      "Ġ ÑįÑĤомÑĥ",
+      "ĠÑįÑĤ омÑĥ",
+      "ĠÑįÑĤо мÑĥ",
+      "ĠÑįÑĤом Ñĥ",
+      "а ÑĤÑĸ",
+      "аÑĤ Ñĸ",
+      "Ġ íĴĪ",
+      "Ġí ĴĪ",
+      "ĠíĴ Ī",
+      "è¡Ĺ éģĵ",
+      "س د",
+      "ÙĪ رÙĩ",
+      "ÙĪر Ùĩ",
+      "ĠزÛĮ اد",
+      "åľ¨çº¿ è§Ĩé¢ij",
+      "ا ÙĪÙĬØ©",
+      "اÙĪ ÙĬØ©",
+      "اÙĪÙĬ Ø©",
+      "ï¼Į å°±æĺ¯",
+      "ï¼Įå°± æĺ¯",
+      "e lerinden",
+      "eler inden",
+      "elerin den",
+      "elerinde n",
+      "ÑĢ ажд",
+      "ÑĢа жд",
+      "ÑĢаж д",
+      "Ġп озд",
+      "Ġпо зд",
+      "Ġпоз д",
+      "Ġзна ÑĤÑĮ",
+      "Ġзн аÑĤÑĮ",
+      "ัà¸ļ สà¸Ļ",
+      "ัà¸ļส à¸Ļ",
+      "à¥ĩà¤ĸ त",
+      "Ġ æĽ°",
+      "Ġæ Ľ°",
+      "ĠæĽ °",
+      "ê³¼ ìłķ",
+      "é® ®",
+      "ĠV iá»ĩn",
+      "ĠVi á»ĩn",
+      "Ġd voj",
+      "Ġdv oj",
+      "ίν εÏĦαι",
+      "Ġosob nÃŃch",
+      "ĠosobnÃŃ ch",
+      "Ġ âĢª",
+      "ĠâĢ ª",
+      "éĻ µ",
+      "ĠØ®ÙĪد Ø´",
+      "ĠاÙĨ ر",
+      "ĠпÑĢоÑĦеÑģÑģи оналÑĮ",
+      "k ám",
+      "ká m",
+      "ĠÙħ ÙĥاÙĨ",
+      "ĠÙħÙĥ اÙĨ",
+      "ĠاÙĦØ£ د",
+      "Ġ ê³µë¶Ģ",
+      "Ġê³µ ë¶Ģ",
+      "ĠÄij ức",
+      "ĠÄijứ c",
+      "ĠCumhur iyeti",
+      "ĠCumhuriyet i",
+      "åĩº ãģĹ",
+      "д ами",
+      "да ми",
+      "дам и",
+      "ĠìĪĺ ìĥģ",
+      "ĠÙģ براÙĬر",
+      "Ġsü resi",
+      "Ġsür esi",
+      "Ġsüre si",
+      "Ġب ج",
+      "Ġ æĶ¾",
+      "ĠæĶ ¾",
+      "ØŃ ÛĮ",
+      "çłĶ究 æīĢ",
+      "åĩºçīĪ 社",
+      "ĠÙħÙĪ تÙĪر",
+      "&& &&",
+      "ĠпеÑĢ ей",
+      "ĠпеÑĢе й",
+      "Ġ ìĦłê±°",
+      "ĠìĦł ê±°",
+      "ĠúspÄĽ Å¡",
+      "ار ک",
+      "Ġet tir",
+      "Ġett ir",
+      "Ġetti r",
+      "Ġ ì¶ľìŀ¥",
+      "Ġì¶ľ ìŀ¥",
+      "ĠKa nun",
+      "ĠKan un",
+      "ĠÑĥменÑĮ ÑĪ",
+      "ĠзаÑĤ веÑĢдж",
+      "ĠاÙĦد ÙĪÙĦÙĬ",
+      "ĠاÙĦدÙĪÙĦ ÙĬ",
+      "Ġ ãĥĵ",
+      "Ġãĥ ĵ",
+      "ĠB azı",
+      "ĠBa zı",
+      "ĠBaz ı",
+      "åŃIJ ãģ®",
+      "åĩ ¯",
+      "Ġse beb",
+      "Ġseb eb",
+      "Ġsebe b",
+      "Ġ åħ±",
+      "Ġåħ ±",
+      "Ġd nů",
+      "Ġdn ů",
+      "ä½į äºİ",
+      "ĠZ d",
+      "æī ±",
+      "Ġتج ربÙĩ",
+      "ÃĶ NG",
+      "Ġìĺ¬ ëĿ¼",
+      "Ïī ÏĦεÏģ",
+      "ĠÑģ вид",
+      "ĠÑģв ид",
+      "ĠÑģви д",
+      "æ¯Ķ èµĽ",
+      "ãģ« åIJij",
+      "ìľĦ 를",
+      "ãģĹ ãģ¾ãģĹãģŁ",
+      "ãģĹãģ¾ ãģĹãģŁ",
+      "Ġd á»ĭ",
+      "ĠÐł ÑĥÑģ",
+      "Ġv á»ı",
+      "Ġvá» ı",
+      "à¤Ĥड ल",
+      "Ġп иÑī",
+      "Ġпи Ñī",
+      "Ġsmr ti",
+      "Ġsmrt i",
+      "à¸Īาà¸ģ à¸ģาร",
+      "ĠÑģаÑħ аÑĢ",
+      "Ġtho át",
+      "ج ÙħØ©",
+      "جÙħ Ø©",
+      "Ġпоз вол",
+      "ĠاÙĦØ« اÙĨÙĬØ©",
+      "ĠاÙĦثاÙĨÙĬ Ø©",
+      "ز ادÙĩ",
+      "زا دÙĩ",
+      "ãĢģ ä¸Ń",
+      "ή μεÏģα",
+      "æ¦ ľ",
+      "l acaģı",
+      "lac aģı",
+      "lacaģ ı",
+      "Ġна ÑĪиÑħ",
+      "ĠнаÑĪ иÑħ",
+      "ìĶ Ģ",
+      "ĠÐĺ ÑģÑĤоÑĢиÑı",
+      "ün deki",
+      "ünd eki",
+      "ünde ki",
+      "ĠпеÑĢ ел",
+      "ĠпеÑĢе л",
+      "Ġ목 ìĨĮ",
+      "ĠÑģÑĤаÑĤ ÑĥÑģ",
+      "о вали",
+      "ов али",
+      "ова ли",
+      "овал и",
+      "ÅĻ az",
+      "ĠдÑĢÑĥг ого",
+      "ĠдÑĢÑĥго го",
+      "ÙĥÙĪÙħ Ø©",
+      "ÙĥÙĪ ÙħØ©",
+      "Ñĩ иÑģÑĤ",
+      "Ñĩи ÑģÑĤ",
+      "ÑĩиÑģ ÑĤ",
+      "μ μ",
+      "åıį åºĶ",
+      "ic ari",
+      "ica ri",
+      "ĠÙ¾ اک",
+      "Ġپا Ú©",
+      "алÑĮ ним",
+      "ĠB una",
+      "ĠBu na",
+      "ĠBun a",
+      "и ÑĤив",
+      "иÑĤ ив",
+      "иÑĤи в",
+      "ÑĦ ÑĢа",
+      "ãĥ¼ ãĥĸãĥ«",
+      "ãĥ¼ãĥĸ ãĥ«",
+      "ĠÑĤоб ÑĤо",
+      "룬 ìĬ¤",
+      "ĠاÙĦ اع",
+      "åħ¬ éĸĭ",
+      "å¥ ī",
+      "ÙĪÙĦ د",
+      "åIJį çĦ¡ãģĹ",
+      "æ°ij 主",
+      "à¥ģ à¤ľà¤°",
+      "à¥ģà¤ľ र",
+      "ìĤ¬ 무",
+      "Ġön celik",
+      "Ġönce lik",
+      "Ġönc elik",
+      "Ġ å¨",
+      "Ġå ¨",
+      "Ñı б",
+      "çľ ī",
+      "à¥įव य",
+      "ĠH ình",
+      "çļĦ åľ°æĸ¹",
+      "çļĦåľ° æĸ¹",
+      "ĠاÙĦ تس",
+      "ĠاÙĦت س",
+      "ä¸Ī 夫",
+      "Ġп ÑĥблÑĸ",
+      "ĠnÄĽjak é",
+      "ÄIJ á»iji",
+      "ĠÑģоÑģÑĤоÑı ниÑı",
+      "à¥Ģ )",
+      "ĠÄij áºŃu",
+      "j ed",
+      "je d",
+      "ê ¶ģ",
+      "Ġs enin",
+      "Ġse nin",
+      "Ġsen in",
+      "Ġseni n",
+      "ĠH óa",
+      "âĻ ł",
+      "лÑı ÑİÑĤÑĮ",
+      "лÑıÑİÑĤ ÑĮ",
+      "éĹ ²",
+      "ìĿ¸ íĬ¸",
+      "ت بÙĩ",
+      "تب Ùĩ",
+      "Ġरà¤ĸ त",
+      "ĠÑģлов ами",
+      "ĠÑģлова ми",
+      "ĠÑģло вами",
+      "Ġطب ÙĤ",
+      "Ġuy du",
+      "ุà¸ĩà¹Ģà¸Ĺà¸ŀ มหาà¸Ļà¸Ħร",
+      "ĠSan at",
+      "ĠSa nat",
+      "à¹ī าà¸Ĭ",
+      "à¹īา à¸Ĭ",
+      "Ġкни ж",
+      "Ìģ c",
+      "ا Ùħج",
+      "اÙħ ج",
+      "δ Ïİ",
+      "Å ®",
+      "Ġb inh",
+      "Ġbi nh",
+      "Ġbin h",
+      "è¾ Ĩ",
+      "n eÄŁi",
+      "ne ÄŁi",
+      "Ø· ÙĨ",
+      "å¸ ķ",
+      "Ġ ìĩ¼",
+      "Ġì ĩ¼",
+      "оÑģ ÑĢед",
+      "ĠοÏĢο ίο",
+      "k ır",
+      "kı r",
+      "à¥Ī श",
+      "Ġ à¸ĩาà¸Ļ",
+      "Ġà¸ĩ าà¸Ļ",
+      "Ġd ruž",
+      "Ġdru ž",
+      "em atik",
+      "ema tik",
+      "emat ik",
+      "a dıģ",
+      "ad ıģ",
+      "adı ģ",
+      "è¾ ŀ",
+      "ĠpoužÃŃ vá",
+      "Ġkur tar",
+      "ĠsaÄŁ lan",
+      "ãĢı ï¼Ī",
+      "Ġmůže me",
+      "Ġmůž eme",
+      "Ġ باد",
+      "Ġب اد",
+      "Ġبا د",
+      "æľŁ éĹ´",
+      "ا تÙģ",
+      "ات Ùģ",
+      "Ġyaz ılım",
+      "Ġyazılı m",
+      "ĠìĹ° ê²°",
+      "ÙĬ ÙģØ©",
+      "ÙĬÙģ Ø©",
+      "Ġ emin",
+      "Ġe min",
+      "Ġem in",
+      "ĠнеÑģколÑĮ киÑħ",
+      "Û´ Û°",
+      "å¯ §",
+      "ί ζει",
+      "ίζ ει",
+      "Ġd él",
+      "Ġdé l",
+      "ver iÅŁ",
+      "価 æł¼",
+      "Ġاست اد",
+      "Ġал ког",
+      ".H CM",
+      "ί οÏĤ",
+      "ίο ÏĤ",
+      "α κ",
+      "ط ع",
+      "ãģ£ ãģį",
+      "ãģ£ãģ į",
+      "Ñı еÑĤÑģÑı",
+      "ÑıеÑĤ ÑģÑı",
+      "л ика",
+      "ли ка",
+      "лик а",
+      "Ġ ÑĨÑı",
+      "ĠÑĨ Ñı",
+      "Ġë§Ī ì§Ģë§ī",
+      "ĠаÑĢ ми",
+      "Ġγ λÏİ",
+      "E NÃį",
+      "EN Ãį",
+      "ë ®¤",
+      "ŃIJ ï¸ı",
+      "Ġ æ¯ı",
+      "Ġæ¯ ı",
+      "Ġ æĸ¼",
+      "Ġæĸ ¼",
+      "Ġκα λÏį",
+      "ĠТ ом",
+      "ĠТо м",
+      "ul ur",
+      "ulu r",
+      "Ġak ce",
+      "ĠÙħÙĪ جب",
+      "ĠÙħÙĪج ب",
+      "e siz",
+      "es iz",
+      "esi z",
+      "н Ñıв",
+      "нÑı в",
+      "алÑĮ нÑĥÑİ",
+      "алÑĮнÑĥ Ñİ",
+      "ал ÑĸÑģÑĤ",
+      "алÑĸ ÑģÑĤ",
+      "Ġв аÑĢÑĸ",
+      "ĠваÑĢ Ñĸ",
+      "Ġва ÑĢÑĸ",
+      "ĠÙħؤ س",
+      "ĠÙħ اÛĮÙĦ",
+      "ĠÙħا ÛĮÙĦ",
+      "ĠμεÏĦα ξÏį",
+      "åĩº ãģĻ",
+      "Ġv á»Ŀi",
+      "Ġvá» Ŀi",
+      "ëŁ ´",
+      "ï¼ ĭ",
+      "æ¯ İ",
+      "Ġt abi",
+      "Ġtab i",
+      "Ġta bi",
+      "âĤ ĥ",
+      "æ£ĭ çīĮ",
+      "Ġ ÃIJ",
+      "ĠÃ IJ",
+      "ĠпÑĢоÑĦеÑģ Ñĸй",
+      "Ñĥв аннÑĸ",
+      "Îľ Îł",
+      "Ġж ил",
+      "Úĺ ÙĨ",
+      "л ÑĥÑĪ",
+      "лÑĥ ÑĪ",
+      "á½ ´",
+      "о веÑĢ",
+      "ов еÑĢ",
+      "ове ÑĢ",
+      "è¾¼ ãģ¿",
+      "ĠÐľ акÑģим",
+      "ĠÐľÐ°Ðº Ñģим",
+      "Ġвз глÑıд",
+      "Ġн аÑĤÑĥ",
+      "Ġна ÑĤÑĥ",
+      "ĠнаÑĤ Ñĥ",
+      "म à¤ķ",
+      "ĠÑħ ими",
+      "ĠÑĢозÑĤа ÑĪ",
+      "ÙĪ راÙĨ",
+      "ÙĪر اÙĨ",
+      "ÙĪرا ÙĨ",
+      "ĠØ´Ùĩر ÙĩاÛĮ",
+      "æ© Łèĥ½",
+      "æ©Ł èĥ½",
+      "Ø® Ø°",
+      "ĠÑģво ÑĶÑĹ",
+      "ĠÑģвоÑĶ ÑĹ",
+      "н ÑıеÑĤ",
+      "нÑı еÑĤ",
+      "Ġgh ế",
+      "ĠpÅĻed ch",
+      "ÑĶ ÑĪ",
+      "огÑĢаÑĦ ÑĸÑı",
+      "Ġ à¸Ĺำà¹ĥห",
+      "Ġà¸Ĺำ à¹ĥห",
+      "åĿ Ĭ",
+      "Ïģ Ïīν",
+      "ÏģÏī ν",
+      "า ระ",
+      "าร ะ",
+      "ĠK ết",
+      "ĠKế t",
+      "Ġch ặt",
+      "Ġ éĻĪ",
+      "ĠéĻ Ī",
+      "ĠdÄĽ lat",
+      "ĠdÄĽl at",
+      "ĠбÑĥд ÑĥÑī",
+      "ĠбÑĥдÑĥ Ñī",
+      "ĠAç ık",
+      "æłª å¼ıä¼ļ社",
+      "ĠÐŁ аÑĢ",
+      "ĠK hu",
+      "ĠKh u",
+      "ãĢģ æĸ°",
+      "Ġб ой",
+      "Ġбо й",
+      "ë§Ī íĬ¸",
+      "ĠÑģоп ÑĢов",
+      "س اب",
+      "н иÑģÑĤ",
+      "ни ÑģÑĤ",
+      "å¼ ĥ",
+      "Ġ Ø´ÙĨاس",
+      "ĠØ´ÙĨ اس",
+      "ен ном",
+      "енно м",
+      "Ġ 项",
+      "Ġé¡ ¹",
+      "èīº æľ¯",
+      "о зем",
+      "оз ем",
+      "ĠÑĢеÑĪ ениÑı",
+      "l ady",
+      "la dy",
+      "lad y",
+      "ĠвÑģ ей",
+      "ĠвÑģе й",
+      "æĶ» åĩ»",
+      "Ġê²° ìłķ",
+      "ãĢĢ ï¾ŀ",
+      "Ġê°IJ ëıħ",
+      "- ÐIJ",
+      "Ġm ÃŃr",
+      "ĠmÃŃ r",
+      "à¥ģप à¤ı",
+      "нÑĸ ÑĨип",
+      "б ом",
+      "бо м",
+      "Ġ Å¡t",
+      "ĠÅ¡ t",
+      "éľ į",
+      "ĠÑĢеÑĪ ение",
+      "Ġдиаг ноÑģÑĤи",
+      "i par",
+      "ip ar",
+      "ipa r",
+      "ا ÛĮز",
+      "اÛĮ ز",
+      "ã ng",
+      "ãn g",
+      "ั วร",
+      "ัว ร",
+      "ĠÑĨ аÑĢ",
+      "Ġs ly",
+      "Ġsl y",
+      "ν Ïİ",
+      "ĠK uzey",
+      "رÛĮ ب",
+      "Ġc enu",
+      "Ġce nu",
+      "Ġcen u",
+      "Ġcert if",
+      "Ġcer tif",
+      "ĠÑĤ ÑĢеÑĤÑĮ",
+      "ĠÑĤÑĢ еÑĤÑĮ",
+      "ĠÑĤÑĢеÑĤ ÑĮ",
+      "ิà¸Ķ à¸Ĥ",
+      "Ġпа ÑĨÑĸÑĶн",
+      "ÅĻ iv",
+      "ÅĻi v",
+      "èĦ Ĥ",
+      "¢ °",
+      "ĠPh ần",
+      "ĠмеÑĤод и",
+      "ĠмеÑĤ оди",
+      "Ạ¤",
+      "ìĨ Ķ",
+      "åIJĮ åѦ",
+      "Ġ åĢĭ",
+      "ĠåĢ ĭ",
+      "моÑĤ ÑĢÑı",
+      "моÑĤÑĢ Ñı",
+      "Ġuv ád",
+      "Û±Û¹ Û¶",
+      "éģ¸ æĬŀ",
+      "! »",
+      "ë ĺIJ",
+      "ĠÛĮ ÙĪتÛĮ",
+      "ĠاÙĦØŃ Ø±Ø¨",
+      "ĠاÙĦØŃر ب",
+      "олог ÑĸÑı",
+      "n ila",
+      "ni la",
+      "nil a",
+      "ĠÄij ảng",
+      "á zi",
+      "áz i",
+      "ÑĢ оÑī",
+      "ÑĢо Ñī",
+      "Ġort adan",
+      "Ġorta dan",
+      "Ġاخ بار",
+      "Ġà¤ħ à¤ľ",
+      "Ġ매 ìļ°",
+      "Ġп ой",
+      "Ġпо й",
+      "Ġ جÙĬ",
+      "Ġج ÙĬ",
+      "к ÑĥваÑĤи",
+      "кÑĥ ваÑĤи",
+      "Ġá» ŀ",
+      "Ġب شر",
+      "Ġبش ر",
+      "Ġ ÙĥÙĬÙĦ",
+      "ĠÙĥ ÙĬÙĦ",
+      "Ñī еÑģÑĤво",
+      "Ñīе ÑģÑĤво",
+      "ÑīеÑģÑĤв о",
+      "ĠìŬ íĸī",
+      "ا ÙħÙĬ",
+      "اÙħ ÙĬ",
+      "в ÑĸлÑĮ",
+      "вÑĸ лÑĮ",
+      "ĠPr vnÃŃ",
+      "Ġ ÙĪسÛĮ",
+      "ĠÙĪ سÛĮ",
+      "ĠÙĪس ÛĮ",
+      "ĠÄIJ á»",
+      "æĪ¿ éĹ´",
+      "åľ¨çº¿ éĺħ读",
+      "æķ ·",
+      "Ġt rai",
+      "Ġtr ai",
+      "Ġtra i",
+      "ä¿ Ĺ",
+      "ĠÑģамоÑģÑĤоÑıÑĤелÑĮ но",
+      "ĠÑĤÑĢеб ÑĥеÑĤÑģÑı",
+      "ĠÑĤÑĢебÑĥеÑĤ ÑģÑı",
+      "δ Ïģα",
+      "ĠÑĢеÑĩ ов",
+      "Ġв Ñĸк",
+      "ĠвÑĸ к",
+      "Ġ ÑĢÑĥÑĩ",
+      "ĠÑĢ ÑĥÑĩ",
+      "ĠÑĢÑĥ Ñĩ",
+      "å¥ §",
+      "ĠolduÄŁ una",
+      "ĠolduÄŁu na",
+      "ев Ñĭе",
+      "Ġ à¸Ħล",
+      "Ġà¸Ħ ล",
+      "ا ÙĦÙĤ",
+      "اÙĦ ÙĤ",
+      "ĠÑĸм енÑĸ",
+      "ĠÑĸмен Ñĸ",
+      "æĶ» æĴĥ",
+      "ĠÑĥнивеÑĢ ÑģиÑĤ",
+      "Ġth Äĥm",
+      "ĠлиÑģÑĤоп ада",
+      "२ ०",
+      "Ø® ÙĬ",
+      "Îķ Îł",
+      "Ġart tır",
+      "Ġس خت",
+      "Ġسخ ت",
+      "ï¼Ī æĺŃåĴĮ",
+      "ĠÎŁ Ïħ",
+      "и ваниÑı",
+      "ив аниÑı",
+      "ива ниÑı",
+      "Ġstav eb",
+      "âħ ¥",
+      "γÏī γή",
+      "γÏīγ ή",
+      "Ù ©",
+      "ĠиÑģÑģлед ованиÑı",
+      "åĢĭ 人",
+      "Ġëĭ¤ìļ´ë°Ľ 기",
+      "ĠÏĦ ελ",
+      "ĠÏĦε λ",
+      "° N",
+      "ĠباÙĦ ÙĨ",
+      "à¹Į à¸ŀ",
+      "Ġnem ůže",
+      "Ġголов а",
+      "Ġгол ова",
+      "à¹Į à¹ģ",
+      "æ¢ ¯",
+      "Â ĺ",
+      "δ ηÏĤ",
+      "δη ÏĤ",
+      "ìĿ¸ ì¦Ŀ",
+      "l ayın",
+      "lay ın",
+      "á½ ·",
+      "ĠÙĨت اÛĮج",
+      "ĠÑģоб лÑİд",
+      "Ġдви жениÑı",
+      "Ġдвиж ениÑı",
+      "ì Į",
+      "Ġ povÄĽ",
+      "Ġp ovÄĽ",
+      "Ġpo vÄĽ",
+      "Ġpov ÄĽ",
+      "Ġ ìłĦìĹIJ",
+      "ĠìłĦ ìĹIJ",
+      "å¦Ĥ ä¸ĭ",
+      "ĠاÙĦÙħ در",
+      "ĠاÙĦÙħد ر",
+      "ï¼Į æĪĸ",
+      "ا را",
+      "ار ا",
+      "æ°ij æĹı",
+      "Ġب رÙĤ",
+      "Ġبر ÙĤ",
+      "Ġзап аÑģ",
+      "à¸Ļ à¹ĥà¸Ī",
+      "é f",
+      "Ġ à¸Łà¸£",
+      "Ġà¸Ł ร",
+      "Ġë³´ ëĤ´",
+      "Ġ 欧ç¾İ",
+      "Ġ欧 ç¾İ",
+      "- ÑĤаки",
+      "-ÑĤ аки",
+      "é© ļ",
+      "ÑĢ ÑĸÑı",
+      "ÑĢÑĸ Ñı",
+      "æŁ ı",
+      "ĠповÑĸÑĤ ÑĢÑı",
+      "çµĦ ç¹Ķ",
+      "d aÅŁ",
+      "da ÅŁ",
+      "Ġहम ल",
+      "ĠÑĢеÑĶ ÑģÑĤÑĢа",
+      "ά β",
+      "ĠÎł ο",
+      "Ġê·¸ 림",
+      "Ñĩ аÑİÑĤ",
+      "Ñĩа ÑİÑĤ",
+      "à¸ĩ à¸ķ",
+      "íĥ ĢìĿ´",
+      "íĥĢ ìĿ´",
+      "æī ¬",
+      "Ġpo jist",
+      "Ġpoj ist",
+      "Ġ çłĶ",
+      "Ġçł Ķ",
+      "Ġ åıĸ",
+      "Ġåı ĸ",
+      "Ġüzer indeki",
+      "Ġüzerinde ki",
+      "j Å¡ÃŃch",
+      "jÅ¡ÃŃ ch",
+      "à¥Ģद व",
+      "æª ¢",
+      "ĠмаÑĤеÑĢи алов",
+      "ĠмаÑĤеÑĢиал ов",
+      "и ваннÑı",
+      "ив аннÑı",
+      "Ġ å°Ĩ",
+      "Ġå° Ĩ",
+      "л л",
+      "Ġнаб лÑİд",
+      "ĠнаблÑİ Ð´",
+      "ĠG öz",
+      "ĠGö z",
+      "Ġв зÑı",
+      "Ġвз Ñı",
+      "çĶµ è§Ĩ",
+      "Ġв ак",
+      "Ġва к",
+      "ç¿ Ķ",
+      "Ġвза им",
+      "Ġg itti",
+      "Ġgi tti",
+      "Ġgit ti",
+      "it eleri",
+      "ite leri",
+      "itel eri",
+      "itele ri",
+      "ä»· åĢ¼",
+      "ĠاÙĦ تص",
+      "ĠاÙĦت ص",
+      "िन à¤ķ",
+      "éĢļ ãĤĬ",
+      "ĠÑģ ÑĦеÑĢ",
+      "ĠÑģÑĦ еÑĢ",
+      "çĻº 売",
+      "âĿ ¤",
+      "ĠÚ¯ÙĪØ´ ÛĮ",
+      "ĠÚ¯ÙĪ Ø´ÛĮ",
+      "аг аÑĤо",
+      "ĠÏĥÏħ γκ",
+      "ав иÑģ",
+      "ави Ñģ",
+      "æĤ£ èĢħ",
+      "ĠØ® اÙħ",
+      "ÎĻÎļ ÎĹΣ",
+      "ÎĻÎļÎĹ Î£",
+      "ınız da",
+      "pan ÄĽl",
+      "pa nÄĽl",
+      "ĠÄIJ á»ĭa",
+      "à¹ģละ ส",
+      "Ġ ãĤĤ",
+      "ĠãĤ Ĥ",
+      "Ġsonuc unda",
+      "Ġsonucu nda",
+      "ìĿ į",
+      "e less",
+      "el ess",
+      "ele ss",
+      "ĠN ha",
+      "ĠNh a",
+      "Ġzak áz",
+      "Ġв оÑģÑĤ",
+      "Ġво ÑģÑĤ",
+      "ĠвоÑģ ÑĤ",
+      "ĠvzdÄĽl ávánÃŃ",
+      "- ม",
+      "Ġmet rů",
+      "ĠپاÛĮ ÛĮÙĨ",
+      "Ġپا ÛĮÛĮÙĨ",
+      "ĠÑĢаÑģÑĤ ение",
+      "Ġmu á»iji",
+      "èµĦ éĩij",
+      "ĠÅŁ üph",
+      "ÙĬ ÙĦÙħ",
+      "ÙĬÙĦ Ùħ",
+      "ĠdÃ¼ÅŁÃ¼n c",
+      "Ġк Ñĸм",
+      "ĠÏĩÏī ÏģίÏĤ",
+      "áz ev",
+      "áze v",
+      "ĠDe ÄŁer",
+      "ĠDeÄŁ er",
+      "å·¥ æ¥Ń",
+      "Ġر Ùħز",
+      "ĠرÙħ ز",
+      "Ġal espoÅĪ",
+      "ĠпÑĢе ÑģÑĤÑĥп",
+      "ĠпÑĢеÑģÑĤ Ñĥп",
+      "ĠعÙĦ اÙĪÙĩ",
+      "Ġme rak",
+      "Ġmer ak",
+      "à¹Į :",
+      "çİ° åľº",
+      "ÑĨ веÑĤ",
+      "Ġप à¥ľ",
+      "Ġëĭ¤ìĿĮ ê³¼",
+      "u dic",
+      "ud ic",
+      "udi c",
+      "ĠL ep",
+      "ĠLe p",
+      "Ġод нÑĸ",
+      "Ġa larak",
+      "Ġal arak",
+      "å®ī æİĴ",
+      "Ġ à¸Ĥà¸Ļาà¸Ķ",
+      "Ġà¸Ĥ à¸Ļาà¸Ķ",
+      "re zent",
+      "rez ent",
+      "is inden",
+      "isin den",
+      "isinde n",
+      "ر ÙĪÛĮ",
+      "رÙĪ ÛĮ",
+      "Ġp lu",
+      "Ġpl u",
+      "ç«ĭ ãģ¦",
+      "Ñĭ ваниÑı",
+      "Ñĭв аниÑı",
+      "Ñĭва ниÑı",
+      "Ġr ast",
+      "Ġra st",
+      "Ġras t",
+      "Ġdüzen lem",
+      "je zd",
+      "jez d",
+      "Ġве ÑīеÑģÑĤв",
+      "ĠвеÑī еÑģÑĤв",
+      "ĠдиÑĢ екÑĤоÑĢ",
+      "ÑĦ ÑĦ",
+      "t ainment",
+      "tain ment",
+      "ĠاÙĦ ÙĪز",
+      "ĠاÙĦÙĪ ز",
+      "l anda",
+      "land a",
+      "la nda",
+      "lan da",
+      "ĠÙĨÚ¯ Ùĩد",
+      "ĠпÑĢоÑĤив оп",
+      "ãģ£ ãģı",
+      "ãģ£ãģ ı",
+      "ãģ¨ãģª ãĤĬ",
+      "Ġë°ľ 견",
+      "i ctor",
+      "ic tor",
+      "ict or",
+      "ãĤ¸ ãĤª",
+      "Σ Φ",
+      "ÎŁÎ ¦",
+      "ĠÑģклад Ñĸ",
+      "Ġob sahuje",
+      "Ġobsah uje",
+      "ĠUkr a",
+      "ĠUk ra",
+      "æķ ¦",
+      "ĠÏĩ αÏģα",
+      "ĠÏĩα Ïģα",
+      "ĠÑĢег Ñĥли",
+      "俺 ãģ¯",
+      "ัà¸ķ ว",
+      "éĦ ī",
+      "Ġب اÛĮ",
+      "Ġبا ÛĮ",
+      "éĬ ·",
+      "ĠN ẵng",
+      "л од",
+      "ло д",
+      "ا رÙģ",
+      "ار Ùģ",
+      "æ´ ģ",
+      "ĠëıĻ ìĿ¼",
+      "ÑĤив ного",
+      "âĶģâĶģâĶģâĶģâĶģâĶģâĶģâĶģ âĶģâĶģâĶģâĶģâĶģâĶģâĶģâĶģ",
+      "Ġ- :-",
+      "Ġ-: -",
+      "ì» ¬",
+      "ĠÑĪ аг",
+      "ìłĦ ìŀIJ",
+      "çļĦ äºĭæĥħ",
+      "çļĦäºĭ æĥħ",
+      "ĠÑĢег Ñĸ",
+      "िय ल",
+      "ĠÐĿ аз",
+      "ĠÐĿа з",
+      "ĠÐĻ ого",
+      "ĠÐł ом",
+      "ĠÃĸr neÄŁin",
+      "Ġп ÑĢеÑģ",
+      "ĠпÑĢ еÑģ",
+      "ĠпÑĢе Ñģ",
+      "u luÄŁu",
+      "ulu ÄŁu",
+      "uluÄŁ u",
+      "Ġза дов",
+      "Ġзад ов",
+      "ÅĻ eh",
+      "ÅĻe h",
+      "æ¯ķ ä¸ļ",
+      "Ġth áºŃp",
+      "ëĤ ¸",
+      "Ġdlou hodob",
+      "Ġdlouho dob",
+      "дÑĸ лÑĥ",
+      "дÑĸл Ñĥ",
+      "a lat",
+      "al at",
+      "ala t",
+      "ä» °",
+      "о ком",
+      "ок ом",
+      "око м",
+      "ĠÑĦ ÑĸлÑĮ",
+      "ĠÑĦÑĸл ÑĮ",
+      "ĠNg ân",
+      "Ġ ترÙĥ",
+      "Ġت رÙĥ",
+      "Ġتر Ùĥ",
+      "ĠÑĤ Ñī",
+      "ر ÙĪد",
+      "رÙĪ د",
+      "ç uk",
+      "çu k",
+      "ra nÃŃ",
+      "ran ÃŃ",
+      "Ġdo laÅŁ",
+      "Ġdol aÅŁ",
+      "ĠQ uang",
+      "ĠQu ang",
+      "ĠpÅĻed pok",
+      "Ġnám ÄĽstÃŃ",
+      "ой Ñĩив",
+      "çĭ Ģ",
+      "Ġб изнеÑģ",
+      "ãģŁ ãģı",
+      "ĠìĿ¸ ì²ľ",
+      "о ÑĢо",
+      "оÑĢ о",
+      "ĠKü rt",
+      "ĠKür t",
+      "ê·¸ 룬",
+      "ÑĨ аÑĤÑĮ",
+      "ÑĨа ÑĤÑĮ",
+      "ĠB ên",
+      "Ġ acı",
+      "Ġa cı",
+      "Ġac ı",
+      "Ú© Ø´",
+      "ï¼Ī å¹³æĪIJ",
+      "Ġ èģĶ",
+      "Ġèģ Ķ",
+      ") ãĢģ",
+      "d iler",
+      "di ler",
+      "Ñĩ иÑĤÑĮ",
+      "ÑĩиÑĤ ÑĮ",
+      "Ñĩи ÑĤÑĮ",
+      "Ư á»",
+      "éĻ ¶",
+      "il eceÄŁini",
+      "ilece ÄŁini",
+      "ileceÄŁi ni",
+      "Ġv Å¡em",
+      "ĠvÅ¡ em",
+      "ĠvÅ¡e m",
+      "å¼Ģ å¥ĸ",
+      "è§Ħ 模",
+      "ul muÅŁ",
+      "Ġ åĪĺ",
+      "Ġå Īĺ",
+      "ĠåĪ ĺ",
+      "е о",
+      "еР¾",
+      "ĠпеÑĢев ÑĸÑĢ",
+      "åĪĨ åĪ«",
+      "Ġjed ná",
+      "Ġjedn á",
+      "li ÄŁe",
+      "liÄŁ e",
+      "ĠرÙħ ضاÙĨ",
+      "ık lı",
+      "ıkl ı",
+      "Ùĩ ÙĢ",
+      "éĩį çĤ¹",
+      "Ñĩ иваеÑĤÑģÑı",
+      "Ñĩи ваеÑĤÑģÑı",
+      "Ñĩив аеÑĤÑģÑı",
+      "Ñĩива еÑĤÑģÑı",
+      "ë¡ľ ìĦľ",
+      "ÏĦ εÏģο",
+      "ÏĦε Ïģο",
+      "ÏĦεÏģ ο",
+      "åľ° ä¸ĭ",
+      "д наннÑı",
+      "дн аннÑı",
+      "Ġng ược",
+      "ॠª",
+      "ĠÎij λ",
+      "Ġa lacak",
+      "Ġal acak",
+      "Ġ à¹Ģà¸ĩ",
+      "Ġà¹Ģ à¸ĩ",
+      "Ġà¹Ģภĩ",
+      "اÛĮ ÙĨد",
+      "اÛĮÙĨ د",
+      "Ġh Ãłi",
+      "ÑĢо из",
+      "ĠЧ и",
+      "Ġ ÑıÑģ",
+      "ĠÑı Ñģ",
+      "خر ÛĮد",
+      "Ġhu deb",
+      "Ġhud eb",
+      "åľ §",
+      "Ġ ìĦ¼",
+      "ĠìĦ ¼",
+      "åĶ¯ ä¸Ģ",
+      "Ġ вÑĸлÑĮ",
+      "Ġв ÑĸлÑĮ",
+      "ĠвÑĸ лÑĮ",
+      "ĠباÙĦ اتر",
+      "ĠباÙĦا تر",
+      "à¸Ńà¸ģ าส",
+      "Ġ Tôi",
+      "ĠT ôi",
+      "ม à¸Ĥ",
+      "o mor",
+      "om or",
+      "omo r",
+      "ĠO lomou",
+      "Ġx ong",
+      "Ġxo ng",
+      "Ġdomác ÃŃ",
+      "Ġ اختÛĮ",
+      "Ġاخ تÛĮ",
+      "Ġاخت ÛĮ",
+      "ĠÑĤеÑħ нÑĸÑĩ",
+      "ĠÑĤеÑħнÑĸ Ñĩ",
+      "ĠiÅŁ te",
+      "à¥Į द",
+      "Ġнад еж",
+      "Ø®ÛĮ ص",
+      "åĬª åĬĽ",
+      "ĠتجÙĩ ÛĮزات",
+      "Ġv ole",
+      "Ġvo le",
+      "Ġvol e",
+      "k inci",
+      "kin ci",
+      "Ġhes ab",
+      "ĠÑģ еÑģÑĤ",
+      "ک ا",
+      "ÑĤеÑĢ н",
+      "ร รà¸Ħ",
+      "รร à¸Ħ",
+      "åıĤ èĢĥ",
+      "ĠÐļ аб",
+      "ĠÐļа б",
+      "ĠÄ° mpar",
+      "Ġnáv rh",
+      "Ġnávr h",
+      "åĴ¨ 询",
+      "à¸ĸ าม",
+      "Ġye rel",
+      "Ġyer el",
+      "Ġyere l",
+      "ĠÃĸ l",
+      "çĮ Ľ",
+      "ĠاÙĦÙĪØ· ÙĨÙĬ",
+      "Ġ ìĿ´ìĸ´",
+      "ĠìĿ´ ìĸ´",
+      "ิà¸Ĺย าศาสà¸ķร",
+      "ิà¸Ĺยา ศาสà¸ķร",
+      "ĠA ÅŁ",
+      "Ġзем лÑİ",
+      "ĠдомаÑĪ ниÑħ",
+      "ĠÑĥ веÑĢ",
+      "ĠÑĥв еÑĢ",
+      "A LI",
+      "AL I",
+      "г ан",
+      "га н",
+      "Ġ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "Ġdo stan",
+      "Ġdos tan",
+      "Ġdost an",
+      "ez pe",
+      "ãģĭ ãģĦ",
+      "ر ÙģتÙĩ",
+      "رÙģ تÙĩ",
+      "رÙģت Ùĩ",
+      "Ġм ÑĥÑģ",
+      "ĠмÑĥ Ñģ",
+      "à¹Į à¸Ł",
+      "è¦ º",
+      "али за",
+      "ализ а",
+      "ĠÑĥÑĩ ÑĢежд",
+      "ĠÚ© اÙĦ",
+      "Ġetk isi",
+      "Ġetki si",
+      "ä½Ĩ æĺ¯",
+      "Ġsou vis",
+      "ĠSav aÅŁÄ±",
+      "ĠSavaÅŁ ı",
+      "Ġب سبب",
+      "ÎŁ ι",
+      "ÎŁÎ ¹",
+      "è ļ",
+      "Ġ æ®",
+      "Ġæ ®",
+      "Ġìĺģ êµŃ",
+      "ا سÛĮÙĪÙĨ",
+      "اسÛĮ ÙĪÙĨ",
+      "ĠاÙĦات ØŃاد",
+      "Ġ глÑı",
+      "Ġг лÑı",
+      "à¹ĩà¸ģ à¸ĭ",
+      "Ġج ÙĪÙĨ",
+      "ĠجÙĪ ÙĨ",
+      "ĠاÙĦرسÙħ ÙĬ",
+      "Âł G",
+      "ĠÑĤо бÑĸ",
+      "ĠÑĤоб Ñĸ",
+      "Â ĩ",
+      "Ġ ëĮĢíĸī",
+      "ĠëĮĢ íĸī",
+      "çĬ¶ æħĭ",
+      "Ġê·¸ ëĥ¥",
+      "Ġи мп",
+      "Ġим п",
+      "ĠتÙĨظ ÛĮÙħ",
+      "ÙĦ اÛĮÙĨ",
+      "ÙĦا ÛĮÙĨ",
+      "ÑģÑĤв еннÑĭм",
+      "ÑģÑĤвен нÑĭм",
+      "о пол",
+      "оп ол",
+      "ر ÙĪج",
+      "رÙĪ ج",
+      "Ġ à¸ĩ",
+      "Ġภĩ",
+      "Ġ çĤº",
+      "ĠçĤ º",
+      "ĠUlus lararası",
+      "à¥Į à¤Ĥ",
+      "ãĢģ ãģĿãģĨ",
+      "Ġس ادÙĩ",
+      "ÎŃ Î±ÏĤ",
+      "ÎŃα ÏĤ",
+      "Ġà¤Ĩ ल",
+      "- ÑĦ",
+      "ĠÎłÎ¿Î» ι",
+      "ĠÎłÎ¿ λι",
+      "Ġно ÑıбÑĢÑı",
+      "ĠноÑı бÑĢÑı",
+      "ÙĪ ÙĦÙĬ",
+      "ÙĪÙĦ ÙĬ",
+      "æĽľ æĹ¥",
+      "æĮģ ç»Ń",
+      "Ġê¼ Ń",
+      "ece ÄŁiz",
+      "eceÄŁi z",
+      "ĠÛĮ اÙģت",
+      "ĠÛĮا Ùģت",
+      "Ġ åı¸",
+      "Ġåı ¸",
+      "ाà¤Ĺ त",
+      "Ġ æķħ",
+      "Ġæķ ħ",
+      "Ġал леÑĢг",
+      "Ġt uz",
+      "Ġtu z",
+      "еÑĢ ÑĤи",
+      "еÑĢÑĤ и",
+      "Ġth ầu",
+      "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢĠãĢĢ",
+      "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢĠãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢĠãĢĢ",
+      "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢĠãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢĠãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ĠãĢĢ",
+      "- à¤ħ",
+      "Ġим мÑĥ",
+      "ÑĢ ай",
+      "ÑĢаР¹",
+      "ÑĢа й",
+      "主 義",
+      "ĠbaÅŁ lar",
+      "Ġä¸Ĭ 涨",
+      "ع ا",
+      "ĠÎĻ Ïī",
+      "ียà¸ĩ à¹ĥหม",
+      "ĠاÙĦÙħد ÙĬÙĨØ©",
+      "Ñģ ÑĮко",
+      "ÑģÑĮ ко",
+      "ÑģÑĮк о",
+      "ĠتارÛĮØ® ÛĮ",
+      "at ÃŃm",
+      "âĢļ Ø·",
+      "آ خر",
+      "ĠëĦ £",
+      "ĠÙĨÙħ اÛĮد",
+      "ĠÙĨÙħاÛĮ د",
+      "ãģķãĤĵ ãģĮ",
+      "Ġb ò",
+      "Ġ à¸ķาม",
+      "Ġà¸ķ าม",
+      "ë³´ ìķĺëĭ¤",
+      "а ÑĤÑĸв",
+      "аÑĤ Ñĸв",
+      "аÑĤÑĸ в",
+      "ĠÑĦ ил",
+      "Ġkısm ı",
+      "iá»ĩ ng",
+      "iá»ĩn g",
+      "Ġay dın",
+      "éģķ ãģĦ",
+      "е ви",
+      "ев и",
+      "Ġ å¾®",
+      "Ġå¾ ®",
+      "( íģ¬ê¸°",
+      "Ġ Ú¯ÛĮر",
+      "ĠÚ¯ ÛĮر",
+      "ĠÚ¯ÛĮ ر",
+      "ìķĦ ìĦľ",
+      "Ġδη μιοÏħÏģγ",
+      "ãģ«ãģĬ ãģĦãģ¦",
+      "ĠÃľ NÄ°",
+      "и ÑĤом",
+      "иÑĤ ом",
+      "ع ÙĦاÙħ",
+      "عÙĦ اÙħ",
+      "åIJİ çļĦ",
+      "Ġp lá",
+      "Ġpl á",
+      "à¸Ľà¸£à¸° à¹Ĥย",
+      "ç¢ İ",
+      "Ġ éĺ²",
+      "Ġéĺ ²",
+      "ëĬ Ķëĭ¤",
+      "ëĬĶ ëĭ¤",
+      "Ġ æĹ¥æľŁ",
+      "ĠæĹ¥ æľŁ",
+      "Ġgeç erli",
+      "л аÑĤÑĭ",
+      "ла ÑĤÑĭ",
+      "лаÑĤ Ñĭ",
+      "Ġmutlak a",
+      "ÙĪ غ",
+      "à¹Ģ ฮ",
+      "à¹Ģภ®",
+      "Ġï» £",
+      "e deki",
+      "ed eki",
+      "ede ki",
+      "à¹Į à¹Ģà¸Ļ",
+      "Ġнайб ÑĸлÑĮÑĪ",
+      "ĠнайбÑĸлÑĮ ÑĪ",
+      "ï¼ Ĭ",
+      "Ġ à¹Ĥรà¸ĩ",
+      "Ġà¹Ĥ รà¸ĩ",
+      "Ġfot bal",
+      "Ġ éĢģ",
+      "ĠéĢ ģ",
+      "âĢĮاÙĦ ÙħÙĦ",
+      "Ïīμά ÏĦιο",
+      "Ġú kol",
+      "åįļ 士",
+      "d ub",
+      "du b",
+      "ı lıģ",
+      "ılı ģ",
+      "ıl ıģ",
+      "ëĵľ 를",
+      "çĭ IJ",
+      "α λλ",
+      "αλ λ",
+      "æŃ» 亡",
+      "ĠпÑĢед поÑĩ",
+      "çµ µ",
+      "Ġм ÑĥзÑĭ",
+      "ĠмÑĥ зÑĭ",
+      "ĠмÑĥз Ñĭ",
+      "еÑĢÑĤ в",
+      "ĠÙĥ ÙĨد",
+      "ĠÙĥÙĨ د",
+      "Ġu lož",
+      "Ġul ož",
+      "ÎŁÎ¥ ÎĽ",
+      "g ili",
+      "gi li",
+      "gil i",
+      "üs tü",
+      "üst ü",
+      "н ки",
+      "ĠÙĤ ÙĪاÙĨ",
+      "ι ακ",
+      "ια κ",
+      "ĠÅŁ er",
+      "ĠкиÑģ л",
+      "Ġки Ñģл",
+      "Ùģ ضÙĦ",
+      "ĠÐIJ ÑĦ",
+      "γ εν",
+      "γε ν",
+      "Ġdo stal",
+      "Ġdos tal",
+      "Ġdost al",
+      "ĠsaÄŁ lıklı",
+      "ĠsaÄŁlık lı",
+      "家 æĹı",
+      "ÄIJ T",
+      "е ÑĢин",
+      "еÑĢ ин",
+      "еÑĢи н",
+      "ĠìĿ´ëŁ¬ íķľ",
+      "Ġdüny ada",
+      "Ġdünya da",
+      "Ġnh ắc",
+      "Âł ÂłĊ",
+      "³³ Ċ",
+      "ν ηÏĥη",
+      "νη Ïĥη",
+      "γÏģα μμα",
+      "Ġtak son",
+      "ĠTürk çe",
+      "ĠÙģراÙĨ سÙĩ",
+      "天 åłĤ",
+      "æº ¶",
+      "Ġ oto",
+      "Ġo to",
+      "Ġot o",
+      "èµ µ",
+      "ch yb",
+      "chy b",
+      "Ġ å¾Ĵ",
+      "Ġå¾ Ĵ",
+      "ÏĦ Ïį",
+      "áh nout",
+      "à¥į पर",
+      "à¥įप र",
+      "Ġv las",
+      "Ġvl as",
+      "Ġíļ¨ ê³¼",
+      "Ġt hang",
+      "Ġth ang",
+      "Ġthan g",
+      "Ġtha ng",
+      "Ġol masına",
+      "Ġolm asına",
+      "Ġolması na",
+      "ĠпоÑĢÑĥÑĪ еннÑı",
+      "Ġqu ỹ",
+      "ĠíĿ IJ",
+      "ĠìĪ ¨",
+      "Ġ ë²Ī째",
+      "Ġë²Ī 째",
+      "ẹ n",
+      "Ġз год",
+      "Ġзг од",
+      "Ġ تز",
+      "Ġت ز",
+      "Ġاخ تص",
+      "Ġاخت ص",
+      "ĠзÑĥÑģÑĤ ÑĢÑĸ",
+      "Ġt ặng",
+      "ῶ ν",
+      "Ġ ì½ľ",
+      "Ġì½ ľ",
+      "ов аниÑħ",
+      "ова ниÑħ",
+      "овани Ñħ",
+      "ован иÑħ",
+      "âĢĮ شد",
+      "âĢĮØ´ د",
+      "Ġa raya",
+      "Ġar aya",
+      "Ġara ya",
+      "Ġaray a",
+      "r ové",
+      "ro vé",
+      "rov é",
+      "Ġاخ تÙĦ",
+      "Ġاخت ÙĦ",
+      "ли вий",
+      "лив ий",
+      "Ġات ØŃاد",
+      "Ġak ÅŁam",
+      "ĠÚ©ÙĦ اس",
+      "ãĤ¢ ãĥĥãĥĹ",
+      "Ġz ih",
+      "Ġzi h",
+      "å ĩĮ",
+      "åĩ Į",
+      "å±± å¸Ĥ",
+      "Ġçev res",
+      "Ġçevr es",
+      "Ġçevre s",
+      "Ġог ÑĢом",
+      "ĠØ¢ دÙħ",
+      "ĠtÄĽ lo",
+      "ĠtÄĽl o",
+      "ï¼Į æľ¬",
+      "ĠÚĺاÙĨ ÙĪÛĮÙĩ",
+      "Ġkr aje",
+      "Ġkra je",
+      "Ġkraj e",
+      "μ ία",
+      "μί α",
+      "èħ ¿",
+      "âĢŀ To",
+      "決 å®ļ",
+      "ì ĩ",
+      "Ġ éĴ",
+      "Ġé Ĵ",
+      "ĠΣ ÏĦα",
+      "ĠجÙħ ÙĩÙĪر",
+      "ĠGen ç",
+      "r ám",
+      "rá m",
+      "ĠÐł ез",
+      "ĠÐłÐµ з",
+      "Ġvyt vá",
+      "ĠпÑĢоизвод ÑģÑĤва",
+      "ĠÙħ Ø°Ùĩ",
+      "ĠÙħØ° Ùĩ",
+      "Ġihtiy ac",
+      "ãĤ¯ ãĤ»",
+      "Ġn êu",
+      "å¾ ³",
+      "Ġ ëĵĿ",
+      "Ġëĵ Ŀ",
+      "н аÑĩе",
+      "на Ñĩе",
+      "наÑĩ е",
+      "ĠÏĥÏħ μμε",
+      "ÏĨ Ïīν",
+      "в авÑģÑı",
+      "ва вÑģÑı",
+      "вав ÑģÑı",
+      "Ġви ÑĤами",
+      "ĠвиÑĤ ами",
+      "Ìģ t",
+      "Ġfinan ÄįnÃŃ",
+      "åıĬ åħ¶",
+      "âĢ ħ",
+      "çĭ ¼",
+      "ัà¸ļ à¸ķ",
+      "ãģĽ ãĤĭ",
+      "ÎĻÎļ ÎŁ",
+      "λ λι",
+      "λλ ι",
+      "ÑĤ оÑİ",
+      "ÑĤо Ñİ",
+      "ا عÙĬØ©",
+      "اع ÙĬØ©",
+      "اعÙĬ Ø©",
+      "vÃŃ ce",
+      "vÃŃc e",
+      "о нÑĸв",
+      "он Ñĸв",
+      "онÑĸ в",
+      "ì£ Ħ",
+      "å» ł",
+      "ĠØ´ÙĬ Ø¡",
+      "ĠТ ем",
+      "ĠТе м",
+      "Ġاب زار",
+      "ĠTH PT",
+      "γ γÏģαÏĨ",
+      "ĠëĮĢ íķ´ìĦľ",
+      "ĠëĮĢíķ´ ìĦľ",
+      "ĠPh ạm",
+      "ÑĨион ной",
+      "| /",
+      "Ġ ãĤ¸ãĥ£",
+      "ĠãĤ¸ ãĥ£",
+      "ÑĮ ÑİÑĤ",
+      "ÑĮÑİ ÑĤ",
+      "Ñĥ зÑĭ",
+      "Ñĥз Ñĭ",
+      "ĠÙħ اد",
+      "ĠÙħا د",
+      "ĠmÄĽ ly",
+      "ĠmÄĽl y",
+      "Ġ çĪ±",
+      "ĠçĪ ±",
+      "Ġr ád",
+      "Ġrá d",
+      "à¸Ħว à¸ļà¸Ħ",
+      "à¥Ī ?",
+      "Ġl idi",
+      "Ġli di",
+      "Ġlid i",
+      "m amız",
+      "mam ız",
+      "Ġ à¹ģà¸ģ",
+      "Ġà¹ģ à¸ģ",
+      "ãĤ¯ ãĤ·ãĥ§ãĥ³",
+      "à¸Ńำ à¸Ļวย",
+      "es át",
+      "Ġv iêm",
+      "Ġvi êm",
+      "è¡Į åĬ¨",
+      "มาà¸ģ à¸ģว",
+      "ĠØ®ÙĪ اب",
+      "Ġser best",
+      "ÅĻÃŃ z",
+      "ĠíĺĦ ëĮĢ",
+      "ãĢĮ ãģĿãģĨ",
+      "çĤ ¸",
+      "om ik",
+      "omi k",
+      "ĠÄ° ran",
+      "Ġer iÅŁ",
+      "ĠÑģ ела",
+      "ĠÑģел а",
+      "Ġار زÛĮ",
+      "Ġارز ÛĮ",
+      "ãĥĪ ãĥª",
+      "ĠB ÄĽ",
+      "е кÑĥ",
+      "ек Ñĥ",
+      "Ч ÑĤобÑĭ",
+      "ЧÑĤо бÑĭ",
+      "Ġanlam da",
+      "Îij Îĺ",
+      "ĠLINE AR",
+      "ĠLIN EAR",
+      "æľī çĤ¹",
+      "ÑĤ аÑĢ",
+      "ÑĤа ÑĢ",
+      "it ler",
+      "itle r",
+      "Ġn ÃŃž",
+      "ĠnÃŃ Å¾",
+      "ĠС ÑģÑĭлки",
+      "å ¶",
+      "Ġв пол",
+      "Ġвп ол",
+      "ĠدÙĤÛĮ ÙĤÙĩ",
+      "ĠدÙĤÛĮÙĤ Ùĩ",
+      "Ġ ä½ĵ",
+      "ر Ùī",
+      "ëĶ °",
+      "Ġà¤ķ व",
+      "Ġж иÑĢ",
+      "æij Ĩ",
+      "Ġì¤ij ìĭ¬",
+      "Ġк Ñĥб",
+      "ĠкÑĥ б",
+      "Ġz lep",
+      "ĠÑĢÑĭ б",
+      "é³ ´",
+      "à¹ģà¸ľ à¸Ļ",
+      "Ġ íĢ",
+      "Ġí Ģ",
+      "ĠÐĿ еÑĤ",
+      "ĠÐĿе ÑĤ",
+      "ž itÄĽ",
+      "žit ÄĽ",
+      "ži tÄĽ",
+      "Ġb Äĥng",
+      "ĠH ava",
+      "ĠHa va",
+      "ĠHav a",
+      "Ġ모 ëį¸",
+      "ĠH ãy",
+      "ĠìĿ´ ê²ĥ",
+      "Ġìĥģ ìĦ¸",
+      "me miÅŁ",
+      "mem iÅŁ",
+      "ĠθÎŃ Ïĥη",
+      "ण न",
+      "ĠskuteÄį nÄĽ",
+      "ĠTarih i",
+      "Ġtext u",
+      "Ġtex tu",
+      "ï¼Į éĢĻ",
+      "ĠاÛĮÙĨتر ÙĨتÛĮ",
+      "ĠÙ¾ اد",
+      "Ġپا د",
+      "ิà¸Ļ à¸ģาร",
+      "ĠNg á»įc",
+      "ĠÑĢоб иÑĤи",
+      "íĸĪ ê³ł",
+      "Ġम ण",
+      "ÐĽ Ðĺ",
+      "Ġпо ÑĤеÑĢ",
+      "ĠпоÑĤ еÑĢ",
+      "Ñģ ом",
+      "Ñģо м",
+      "ĠاÙĪ ÙĦÛĮÙĩ",
+      "ĠاÙĪÙĦ ÛĮÙĩ",
+      "éĽ ij",
+      "ĠGi á",
+      "Ġk anal",
+      "Ġkan al",
+      "Ġka nal",
+      "Ġavant aj",
+      "Ġavan taj",
+      "Ġr yb",
+      "Ġry b",
+      "Ø® تÙĩ",
+      "خت Ùĩ",
+      "ĠÙĪ رÙĪد",
+      "ĠÙĪر ÙĪد",
+      "ÐĴ ÑĤ",
+      "Ïī Ïĥε",
+      "기 ë¡ľ",
+      "ĠÐĽ Ñĸ",
+      "Ġt ảng",
+      "Ġtả ng",
+      "Ġص ÙĦÙī",
+      "ĠÑĥ лÑĭ",
+      "ĠÑĥл Ñĭ",
+      "Ġcu á»ijn",
+      "ĠÐIJ нг",
+      "ĠÐIJн г",
+      "Ġد اÙĪ",
+      "ĠÑĪлÑıÑħ ом",
+      "ĠÄįlovÄĽk a",
+      "ĠÄįlovÄĽ ka",
+      "d ete",
+      "de te",
+      "det e",
+      "ÑĬ ем",
+      "à¹Į à¹ĥà¸Ļ",
+      "à¤ķ न",
+      "åĪ ¤æĸŃ",
+      "åĪ¤ æĸŃ",
+      "ĸ ìĹIJ",
+      "ÏĦ ÏīÏĥη",
+      "ÏĦÏī Ïĥη",
+      "ĠÙģÙĨ اÙĪرÛĮ",
+      "ĠyaÅŁ ında",
+      "ĠÏĥÏĩ ÎŃ",
+      "Ġ yı",
+      "Ġy ı",
+      "Ġp ÅĻen",
+      "ĠpÅĻ en",
+      "ĠpÅĻe n",
+      "ĠÑĦоÑĢм ÑĥваннÑı",
+      "ĠÑĦоÑĢмÑĥ ваннÑı",
+      "ü mÃ¼ÅŁ",
+      "üm Ã¼ÅŁ",
+      "ümü ÅŁ",
+      "Ġ δο",
+      "Ġδ ο",
+      "ımız ın",
+      "ımızı n",
+      "Ġ é¢Ħ",
+      "Ġé¢ Ħ",
+      "оÑģÑĤ ÑĮÑİ",
+      "оÑģÑĤÑĮ Ñİ",
+      "ĠоÑĤкÑĢÑĭ ÑĤ",
+      "Ġأغ سطس",
+      "ĠA sp",
+      "ĠAs p",
+      "ĠÑĥ зн",
+      "ĠÑĥз н",
+      "ĠÙĪ است",
+      "ĠÙĪا ست",
+      "ĠÙĪاس ت",
+      "e lerle",
+      "eler le",
+      "èķ ī",
+      "Ġت Ú©ÙĨ",
+      "Ġتک ÙĨ",
+      "Ñĥ мÑĥ",
+      "Ñĥм Ñĥ",
+      "à¹Į à¸ĭ",
+      "ाद न",
+      "ĠâĢĭ âĢĭâĢĭ",
+      "ĠâĢĭâĢĭ âĢĭ",
+      "Ġa lıyor",
+      "Ġal ıyor",
+      "Ġî ¡",
+      "Ùħ دة",
+      "Ùħد Ø©",
+      "Ġ Ïĥει",
+      "ĠÏĥ ει",
+      "ĠÏĥε ι",
+      "Ġ è¿Ļ",
+      "Ġè¿ Ļ",
+      "ĠÅŀ ehir",
+      "ен ÑĤами",
+      "енÑĤ ами",
+      "енÑĤа ми",
+      "ãĤ¿ ãĥ«",
+      "ห าย",
+      "หา ย",
+      "ай ÑĤ",
+      "Ġh arc",
+      "Ġhar c",
+      "Ġha rc",
+      "ãĢĤ ãģĬ",
+      "Ġتأ Ø«ÛĮر",
+      "า à¸Ĭà¸Ļ",
+      "าà¸Ĭ à¸Ļ",
+      "Ġth áºŃm",
+      "Ġ æ¿",
+      "Ġæ ¿",
+      "Ġm Å©i",
+      "Ġprv nÃŃm",
+      "ĠprvnÃŃ m",
+      "Ġбаг аÑĤÑĮ",
+      "ĠбагаÑĤ ÑĮ",
+      "ãģķãĤī ãģ«",
+      "b iên",
+      "bi ên",
+      "åºĶ å½ĵ",
+      "ìĿ´ ë²Ħ",
+      "Ġpou žÃŃt",
+      "ĠpoužÃŃ t",
+      "Ġokam ž",
+      "e sin",
+      "es in",
+      "esi n",
+      "v ÄĽl",
+      "vÄĽ l",
+      "Ġ ضÙĪ",
+      "Ġض ÙĪ",
+      "è» Ł",
+      "- з",
+      "à¥Ī त",
+      "è¨Ī ç®Ĺ",
+      "r abilir",
+      "ra bilir",
+      "rab ilir",
+      "ĠÐłÐ¾Ñģ ÑĸÑĹ",
+      "Ġpla tÃŃ",
+      "Ġplat ÃŃ",
+      "Ġdosp ÄĽl",
+      "Ġر ضا",
+      "Ġرض ا",
+      "Ġn ového",
+      "Ġnov ého",
+      "Ġnové ho",
+      "Ġна ÑĨионалÑĮ",
+      "ĠÐIJ б",
+      "ãģĮ ãģĤãģ£ãģŁ",
+      "Ġ ë¹Ī",
+      "Ġë¹ Ī",
+      "âĢĮ Ùħ",
+      "å±ŀ äºİ",
+      "Ġt ane",
+      "Ġta ne",
+      "Ġtan e",
+      "ÙĬ اÙĩ",
+      "ÙĬا Ùĩ",
+      "Ġ βο",
+      "Ġβ ο",
+      "Ġ ëĬ¥",
+      "ĠëĬ ¥",
+      "ãĥĩãĤ£ ãĥ¼ãĤ¹",
+      "Ġ Ø°Ùĥر",
+      "ĠØ° Ùĥر",
+      "Ġobvyk le",
+      "Ġbir inci",
+      "ĠاÙĦ زر",
+      "ĠاÙĦز ر",
+      "ìĿ´ ë¹Ħ",
+      "ĠØ¥ د",
+      "ĠE kon",
+      "ĠEk on",
+      "ÐŁ ол",
+      "ÐŁÐ¾ л",
+      "ĠвеÑĢ оÑıÑĤ",
+      "Ġyarar lan",
+      "Ġа ÑĢом",
+      "ĠаÑĢ ом",
+      "Ġ éĦ",
+      "Ġé Ħ",
+      "Ġ iddi",
+      "Ġid di",
+      "i Äįka",
+      "iÄį ka",
+      "struk ce",
+      "mÃ¼ÅŁ tür",
+      "Ïħ ÏĦÏĮ",
+      "ë¡ ±",
+      "Ġal maktadır",
+      "Ġalmak tadır",
+      "ени Ñıми",
+      "ениÑı ми",
+      "ียà¸Ļ ร",
+      "à¹ĩ à¸Ļว",
+      "à¹ĩà¸Ļ ว",
+      "и кÑĥ",
+      "ик Ñĥ",
+      "е нка",
+      "ен ка",
+      "âĢĻ yi",
+      "âĢĻy i",
+      "Ġpo hod",
+      "Ġpoh od",
+      "Ġ زر",
+      "Ġز ر",
+      "Ġx ấu",
+      "Ġ à¸łà¸²à¸©",
+      "Ġà¸ł าษ",
+      "Âł Ðŀ",
+      "Ġ δικ",
+      "Ġδ ικ",
+      "Ġδι κ",
+      "Ġназ ива",
+      "åıª èĥ½",
+      "大 éĩı",
+      "ĠÄij ế",
+      "Ġ 第äºĮ",
+      "Ġ第 äºĮ",
+      "ĠkiÅŁ ilerin",
+      "ĠkiÅŁi lerin",
+      "ĠkiÅŁiler in",
+      "Ġdob ré",
+      "Ġdobr é",
+      "é© ¾",
+      "Ġdůležit é",
+      "ë¡ ¤",
+      "μÎŃ Î½Î¿Ïħ",
+      "μÎŃν οÏħ",
+      "μÎŃνο Ïħ",
+      "Ġtr ú",
+      "Ġbiç im",
+      "Ġ ÐĿÐIJ",
+      "ĠÐĿ ÐIJ",
+      "Ġ å¾Į",
+      "Ġå¾ Į",
+      "Ġdu yg",
+      "Ġduy g",
+      "åŀ Ĥ",
+      "ÐĨ ÐĨ",
+      "Ġet meye",
+      "Ġetm eye",
+      "Ġetme ye",
+      "ĠÙĦب اس",
+      "Ġд вÑĸ",
+      "Ġдв Ñĸ",
+      "Ġ 긴",
+      "Ġê¸ ´",
+      "ÑĨ Ñĸйно",
+      "ÑĨÑĸй но",
+      "κ ÏĦή",
+      "ï½ Ŀ",
+      "ĠÑĦевÑĢа лÑı",
+      "å¯ «",
+      "Ġ 겨",
+      "Ġê² ¨",
+      "Ġyıl larda",
+      "Ġyıllar da",
+      "Ġз Ñĥп",
+      "Ġobchod nÃŃ",
+      "Ġاض اÙģÙĩ",
+      "в еÑĢж",
+      "веÑĢ ж",
+      "Ġ æłĩ",
+      "Ġæł ĩ",
+      "ج اج",
+      "جا ج",
+      "Ġر ÙĪسÛĮ",
+      "ĠرÙĪ سÛĮ",
+      "Ġstand art",
+      "Ġstan dart",
+      "é ru",
+      "ér u",
+      ") ìĿĦ",
+      "д екÑģ",
+      "де кÑģ",
+      "Ġ âĪļ",
+      "ĠâĪ ļ",
+      "ĠÄ°ngiliz ce",
+      "èĬ Ŀ",
+      "身 ä¸Ĭ",
+      "ØŁ ØŁ",
+      "Ġm ẽ",
+      "Îij ÎĶ",
+      "енÑģ ив",
+      "âĢĻ ta",
+      "âĢĻt a",
+      "à¹ī าà¸ģ",
+      "à¹īา à¸ģ",
+      "ÎŁÎĽ ÎŁÎĵ",
+      "ä»ĺ ãģij",
+      "Ġs Ãłng",
+      "ĠsÃłn g",
+      "Ġह à¤Ł",
+      "ÑĭÑĪ лен",
+      "ĠØ® طر",
+      "Ġخط ر",
+      "Ġнай ÑĤи",
+      "缸 ä¿¡",
+      "Ïī δ",
+      "ठĶ",
+      "Ġdo pad",
+      "Ġdop ad",
+      "à¹Ħà¸Ł ล",
+      "æ ģµ",
+      "æģ µ",
+      "í Ĥ¬",
+      "íĤ ¬",
+      "Ä±ÅŁ ma",
+      "ãģı ãĤĮãģŁ",
+      "ãģıãĤĮ ãģŁ",
+      "Ġnap rost",
+      "ĠÑģоÑģÑĤав е",
+      "Ġ ÙĪسط",
+      "ĠÙĪ سط",
+      "ĠÙĪس Ø·",
+      "๠ķ",
+      "éĸĭ çĻº",
+      "ĠдеÑĢ ева",
+      "ĠдеÑĢев а",
+      "- ÐĶ",
+      "à¸ĩ à¸Ĭ",
+      "ิà¸ķ ย",
+      "ĠاÙĦÙĤ اÙĨÙĪÙĨ",
+      "ãĤ¹ ãĤ«",
+      "l ÃŃž",
+      "lÃŃ Å¾",
+      "Ġан ализ",
+      "Ġproblém y",
+      "æĸĩ åѦ",
+      "çĹħ éĻ¢",
+      "Ñģ ед",
+      "Ñģе д",
+      "ï¼Į å°ı",
+      "Ġعش ÙĤ",
+      "ãģ° ãģĭãĤĬ",
+      "Ġع ÙĤد",
+      "ĠعÙĤ د",
+      "ØŃ ÙĬØ©",
+      "ØŃÙĬ Ø©",
+      "Ġë°Ķ ëŀįëĭĪëĭ¤",
+      "inc lu",
+      "incl u",
+      "Ġ ëĵľë¦½ëĭĪëĭ¤",
+      "Ġëĵľ 립ëĭĪëĭ¤",
+      "åį« çĶŁ",
+      "Ġвид Ñĥ",
+      "Ġви дÑĥ",
+      "ุ à¸ļาล",
+      "ุà¸ļ าล",
+      "ÑĢ ÑĥкÑĤ",
+      "ÑĢÑĥ кÑĤ",
+      "ÑĢÑĥк ÑĤ",
+      "ĠоÑģ вÑĸÑĤ",
+      "ĠоÑģвÑĸ ÑĤ",
+      "Ġvel ký",
+      "Ġvelk ý",
+      "Ġch tÄĽl",
+      "ĠchtÄĽ l",
+      "æīĵ å¼Ģ",
+      "Ġзакон одаÑĤелÑĮ",
+      "ан Ñģи",
+      "анÑģ и",
+      "ì¶ ĺ",
+      "ĠÙħر اج",
+      "åģľ æŃ¢",
+      "Ġво но",
+      "ìłķ ìĿ´",
+      "Ġroz sah",
+      "Ġrozs ah",
+      "Ġ æĻ´",
+      "ĠæĻ ´",
+      "Ġza jist",
+      "Ġzaj ist",
+      "Âł м",
+      "tı ģını",
+      "tıģ ını",
+      "Ġhizmet i",
+      ". Îij",
+      "ĠÙħعÙħÙĪÙĦ ا",
+      "Ġ ži",
+      "Ġž i",
+      "Ġg á»įn",
+      "èĮ Ĥ",
+      "Ġh uz",
+      "Ġhu z",
+      "ζ ει",
+      "ζε ι",
+      "à¥ī à¤Ł",
+      "Ġиз дел",
+      "ìŀ ĸ",
+      "ĠëĶ° 른",
+      "Ġk ia",
+      "Ġki a",
+      "Ġz nÄĽnÃŃ",
+      "Ġzn ÄĽnÃŃ",
+      "ĠоÑĢгани за",
+      "ĠоÑĢганиз а",
+      "از ات",
+      "Ġrež im",
+      "Ġв енÑĤи",
+      "b ách",
+      "Ġод номÑĥ",
+      "Ġодно мÑĥ",
+      "Ġодном Ñĥ",
+      "Ġkit ab",
+      "Ġki tab",
+      "Ġkita b",
+      "Ġfran couz",
+      "Ġfranc ouz",
+      "ĠØ£ ÙĦ",
+      "Ġس رÙĪ",
+      "Ġسر ÙĪ",
+      "Ùij ÙĦ",
+      "Ġ ман",
+      "Ġм ан",
+      "Ġма н",
+      "ë° į",
+      "Ġк Ñĥда",
+      "ĠкÑĥ да",
+      "Ùı س",
+      "ãĢĤ æѤ",
+      "ا شة",
+      "اش ة",
+      "à¸Ĥà¸Ńà¸ĩ à¸ľ",
+      "主 任",
+      "ив ÑĪи",
+      "Ġà¸ģ รà¸ģ",
+      "Ġà¸ģร à¸ģ",
+      "ек Ñģи",
+      "екÑģ и",
+      "иÑĤ еÑĤ",
+      "иÑĤе ÑĤ",
+      "ĠØ£ ÙĦÙģ",
+      "ĠØ£ÙĦ Ùģ",
+      "а ними",
+      "ан ими",
+      "ани ми",
+      "ãĥļ ãĥ¼ãĤ¸",
+      "ĠпÑĢав ил",
+      "ĠпÑĢави л",
+      "åªĴ ä½ĵ",
+      "Ñİ Ñīее",
+      "ÑİÑī ее",
+      "ä¸Ģ 人",
+      "β ο",
+      "ìĭ ¸",
+      "о зна",
+      "оз на",
+      "å¤ī æĽ´",
+      "ĠÙħØ´ Ùĩد",
+      "æ³ķ 人",
+      "ĠBa kanı",
+      "ĠBak anı",
+      "ĠBakan ı",
+      "ĠÑħоÑĩ а",
+      "Ġα ξ",
+      "Ġver ilm",
+      "Ġveri lm",
+      "Ġk onus",
+      "Ġkon us",
+      "Ġkonu s",
+      "με νη",
+      "μεν η",
+      "Ġ 馬",
+      "Ġé ¦¬",
+      "Ġé¦ ¬",
+      "Ġìĭ¤ ìłľ",
+      "Ġjed no",
+      "Ġjedn o",
+      "Ġб аб",
+      "Ġба б",
+      "åĥ į",
+      "æĺ¯ ä¸Ģ个",
+      "æĺ¯ä¸Ģ 个",
+      "- е",
+      "ĠpÅĻek vap",
+      "à¸Ń à¸ŀ",
+      "ĠY ol",
+      "ĠYo l",
+      "ĠÑĥÑģÑĤан авлива",
+      "ê² ¼",
+      "Ġ 件",
+      "اÙĦ Ø´",
+      "Ġоб ÑĥÑĩ",
+      "åĺ Ľ",
+      "ĠÑħоÑĩ Ñĥ",
+      "ĠÐķ в",
+      "ÑĦ оÑĢÑĤ",
+      "ÑĦоÑĢ ÑĤ",
+      "Ġर न",
+      "âĢŀ V",
+      "èľ ľ",
+      "Ġd oma",
+      "Ġdo ma",
+      "Ġdom a",
+      "æĶ¯ æı´",
+      "Ġ اخت",
+      "Ġا خت",
+      "Ġاخ ت",
+      "å¾ ª",
+      "à¥Ĥ à¤ļन",
+      "à¥Ĥà¤ļ न",
+      "ा हन",
+      "ाह न",
+      "Ġ å¤ı",
+      "Ġå¤ ı",
+      "ĠاÙĦØ£ Ùħر",
+      "ĠاÙĦØ£Ùħ ر",
+      "ĠбеÑĢем енноÑģÑĤи",
+      "ĠTh á»±c",
+      "é£İ éĻ©",
+      "Ġül kemiz",
+      "Ġülk emiz",
+      "çķª åı·",
+      "ÑģÑĤ ÑĢе",
+      "ÑģÑĤÑĢ е",
+      "ÑĪ ло",
+      "ĠصاØŃ Ø¨",
+      "ι νε",
+      "ιν ε",
+      "ĠK ıs",
+      "ĠKı s",
+      "ĠPr ahy",
+      "ĠPra hy",
+      "æ¹ ¿",
+      "Ġv ým",
+      "Ġvý m",
+      "çĽ Ĵ",
+      "ÎŁ ÎĶ",
+      "ÎŁÎ Ķ",
+      "ãģł ãģª",
+      "ĠpÅĻÃŃ ležit",
+      "Ġìĸ¸ ìłľ",
+      "ĠÑĪвид ко",
+      "Ġsitu aci",
+      "åħĥ ç´ł",
+      "Ä°T ESÄ°",
+      "ĠV ak",
+      "ĠVa k",
+      "Ġner edeyse",
+      "i iii",
+      "ii ii",
+      "iii i",
+      "ÑĢа зд",
+      "ÑĢаз д",
+      "Ġп олиÑĤ",
+      "Ġпо лиÑĤ",
+      "Ġпол иÑĤ",
+      "Ġполи ÑĤ",
+      "Ġп огод",
+      "Ġпо год",
+      "Ġпог од",
+      "ĠпÑĢоÑĨеÑģ Ñģе",
+      "ĠпÑĢоÑĨеÑģÑģ е",
+      "Ġмен ÑĪе",
+      "äºĮ 人",
+      "ĠÙħÙĪ اط",
+      "Ġp ÅĻik",
+      "ĠpÅĻ ik",
+      "ĠpÅĻi k",
+      "è· ¡",
+      "Ġs erg",
+      "Ġse rg",
+      "Ġser g",
+      "ĠÑĢаÑģ ÑģÑĤоÑı",
+      "и Ñĩно",
+      "иÑĩ но",
+      "ĠÎĶ ÎĹÎľ",
+      "¨ ط",
+      "ص بØŃ",
+      "صب ØŃ",
+      "สะ à¸Ķวà¸ģ",
+      "د رÛĮ",
+      "در ÛĮ",
+      "k ům",
+      "ků m",
+      "ç§ģ ãģ¯",
+      "Ġt vor",
+      "Ġtv or",
+      "à¥įव व",
+      "Ġp ÅĻiv",
+      "ĠpÅĻ iv",
+      "ĠpÅĻi v",
+      "Ġ íı´",
+      "Ġíı ´",
+      "Ġst átu",
+      "Ġstát u",
+      "Ġed ilmiÅŁtir",
+      "Ġedilm iÅŁtir",
+      "Ġedil miÅŁtir",
+      "ĠedilmiÅŁ tir",
+      "ØŃ Ùħ",
+      "Ġб ÑĥÑħ",
+      "ĠбÑĥ Ñħ",
+      "สำ à¹Ģร",
+      "ĠتÙĪ ضÛĮ",
+      "ãģĿãĤĮ ãģ¯",
+      "Ġà¤ħव ध",
+      "é ŀĭ",
+      "éŀ ĭ",
+      "âĤ¬ Ċ",
+      "Ġ éº",
+      "Ġé º",
+      "ĠÄĮ es",
+      "Ġpop rvé",
+      "ï¼Į åĽł",
+      "Ġal mÄ±ÅŁ",
+      "Ġalm Ä±ÅŁ",
+      "l al",
+      "la l",
+      "ĠØ® ÙĪبÛĮ",
+      "ĠØ®ÙĪ بÛĮ",
+      "ĠØ®ÙĪب ÛĮ",
+      "Ġκ οÏģ",
+      "Ġκο Ïģ",
+      "ìļ´ ëıĻ",
+      "m ayın",
+      "may ın",
+      "mayı n",
+      "Ġak tif",
+      "Ġakt if",
+      "ĠاÙĨج ÙħÙĨ",
+      "ĠÑģ ÑĤак",
+      "ĠÑģÑĤ ак",
+      "ĠÑģÑĤа к",
+      "ĠÑģÑĤ аÑĢа",
+      "ĠÑģÑĤаÑĢ а",
+      "ĠÑģÑĤа ÑĢа",
+      "ÙĦ ÙģØ©",
+      "ÙĦÙģ Ø©",
+      "Ġparç ası",
+      "ĠкоÑĢп ÑĥÑģ",
+      "ãĢģ é«ĺ",
+      "! ..",
+      "!. .",
+      "ĠÎł ÎijÎĿ",
+      "ĠÙĩÙĨ ÙĪز",
+      "ion álnÃŃ",
+      "Ġprá vnÃŃ",
+      "Ġpráv nÃŃ",
+      "Â Ŀ",
+      "Ġت ÛĮر",
+      "ĠتÛĮ ر",
+      "Ġ åŁİ",
+      "ĠåŁ İ",
+      "Ġзг ад",
+      "Ġsaldır ı",
+      "æŁ¥çľĭ æijĺè¦ģ",
+      "é« ª",
+      "Ùģ صÙĦ",
+      "ãģĻ ãģ¹ãģ¦",
+      "е во",
+      "ев о",
+      "ê´Ģ리 ìŀIJ",
+      "Ġìĺ Ĩ",
+      "udic ots",
+      "ÙĪر ÙĨ",
+      "Ġcel kem",
+      "ãĤ¤ ãĤº",
+      "ìĬ¤ ê°Ģ",
+      "販 売",
+      "ĠíĮĮìĿ¼ 첨ë¶Ģ",
+      "ë ¢°",
+      "Ġe nergie",
+      "Ġenerg ie",
+      "Ġener gie",
+      "es idir",
+      "esi dir",
+      "Ġm iá»ĩng",
+      "éĻ ·",
+      "Ġг аÑĢа",
+      "ĠгаÑĢ а",
+      "Ġb iliyor",
+      "Ġbil iyor",
+      "çį² å¾Ĺ",
+      "еÑĤ еÑĢб",
+      "à¹Īา à¹Ģà¸Ľ",
+      "Ġμα ζί",
+      "Ġzprac ovánÃŃ",
+      "Ñģ м",
+      "Ġh ala",
+      "Ġha la",
+      "Ġhal a",
+      "Ġز ÙĪج",
+      "ĠвÑĸд нов",
+      "à¹Ģหม าะ",
+      "ĠÐłÐµÑģп Ñĥбли",
+      "åĩºåĵģ èĢħ",
+      "Ñī ини",
+      "Ñīи ни",
+      "Ñīин и",
+      "ัà¸Ļ à¹Ģà¸Ľ",
+      "Ġtý den",
+      "Ġtýd en",
+      "Ġب ÙĬت",
+      "ĠبÙĬ ت",
+      "Ñģ комÑĥ",
+      "Ñģк омÑĥ",
+      "Ñģком Ñĥ",
+      "Ñģко мÑĥ",
+      "ĠÙĩÙĪ اپÛĮÙħ",
+      "оÑģ нов",
+      "é¸ Ł",
+      "Ġsou krom",
+      "Ġfa iz",
+      "Ġdem ok",
+      "Ġdemo k",
+      "Ġkter ém",
+      "Ġkteré m",
+      "Ġëħ ¹",
+      "л аÑĩ",
+      "ла Ñĩ",
+      "ĠоÑĤвеÑĤ ÑģÑĤвен",
+      "Ġ ï¼¼:",
+      "Ġï¼¼ :",
+      "Ġ λο",
+      "Ġλ ο",
+      "ÄĮ esk",
+      "ê°Ģ ìļĶ",
+      "Ġ ãĥĬ",
+      "Ġãĥ Ĭ",
+      "Ġnhu áºŃn",
+      "ĠÑģ или",
+      "ĠÑģи ли",
+      "ĠÑģил и",
+      "ĠÐľ он",
+      "Ġç ap",
+      "Ġça p",
+      "ĠRow Box",
+      "Ġм аÑģÑĤ",
+      "ĠмаÑģ ÑĤ",
+      "Ġма ÑģÑĤ",
+      "ĠÐľ а",
+      "ĠдÑĢÑĥг о",
+      "ĠдÑĢÑĥ го",
+      "ĠØ£ Ø´",
+      "ë°© ìĨ¡",
+      "ĠпÑĸд пиÑģ",
+      "èĩ ¨",
+      "åī ©",
+      "Ġh iá»ĥn",
+      "Ġhi á»ĥn",
+      "ĠÙĤر ارد",
+      "ĠÙĤرار د",
+      "ist rat",
+      "istr at",
+      "istra t",
+      "ÐŁ Ñĸд",
+      "ÏĦε Ïģα",
+      "ÏĦεÏģ α",
+      "Ġpoz dÄĽ",
+      "ĠbaÅŁ ta",
+      "夫 人",
+      "л ини",
+      "ли ни",
+      "лин и",
+      "Ġка ÑĩеÑģÑĤва",
+      "ĠкаÑĩе ÑģÑĤва",
+      "Ġkur tul",
+      "Ġ ì¢Į",
+      "Ġì¢ Į",
+      "ãģ«ãģĬ ãģijãĤĭ",
+      "åľ° åįĢ",
+      "ĠÑĩа Ñģом",
+      "ĠÑĩаÑģ ом",
+      "ìµľ ê³ł",
+      "Ġn gang",
+      "Ġng ang",
+      "Ġnga ng",
+      "ا Ùĩد",
+      "اÙĩ د",
+      "ĠШ ев",
+      "ĠpÅĻ itom",
+      "ĠpÅĻi tom",
+      "Ġch ấm",
+      "ĠÐľ еÑģÑĤо",
+      "ĠÑģовеÑĢÑĪ енно",
+      "ÃŃ cÃŃ",
+      "ÃŃc ÃŃ",
+      "Ń å·ŀ",
+      "åĪĽ æĸ°",
+      "äºĶ æľĪ",
+      "Ġا عÙħاÙĦ",
+      "Ġاع ÙħاÙĦ",
+      "Ġвозмож ноÑģÑĤи",
+      "Ġвозможно ÑģÑĤи",
+      "ĠпÑĢод овж",
+      "n ÄĽt",
+      "nÄĽ t",
+      "ĠÐĿа пÑĢимеÑĢ",
+      "ĠاÙĦ دÙħ",
+      "ĠاÙĦد Ùħ",
+      "Ġ à¹ģà¸ļà¸ļ",
+      "Ġà¹ģ à¸ļà¸ļ",
+      "çĶŁ çļĦ",
+      "ĠÑħ аÑĢÑĩ",
+      "ĠSon uç",
+      "Ġrůzn é",
+      "Ġrůz né",
+      "Ġ اذ",
+      "Ġا Ø°",
+      "ĠØ§Ø °",
+      "à¸ķ à¸Ńà¸ļ",
+      "P ÅĻed",
+      "PÅĻ ed",
+      "ĠдеÑĢев Ñıн",
+      "ë´ IJ",
+      "ĠëĬIJ ëĤ",
+      "جÙħ ÙĬع",
+      "ĠBöyle ce",
+      "èµ ı",
+      "Ġب سÙĬ",
+      "Ġبس ÙĬ",
+      "ĠÃĩ aÄŁ",
+      "Ġت اÛĮ",
+      "Ġتا ÛĮ",
+      "Ġnej vyÅ¡Å¡ÃŃ",
+      "èĸ ©",
+      "Ïĩε δÏĮν",
+      "Ġëĵ± ìĿĺ",
+      "e yh",
+      "ey h",
+      "æĸĻ çIJĨ",
+      "ا تÙĩ",
+      "ات Ùĩ",
+      "æī «",
+      "Ġ å©",
+      "Ġå ©",
+      "ĠпÑĢи вед",
+      "ĠпÑĢив ед",
+      "æī ¶",
+      "Ġ 견",
+      "Ġê² ¬",
+      "Ġا ÙħÛĮر",
+      "ĠاÙħ ÛĮر",
+      "ाय ल",
+      "æ¡ ij",
+      "à¸Ļ à¹Ģà¸ķ",
+      "ила кÑĤи",
+      "家 ä¼Ļ",
+      "Ġbulun uyor",
+      "y sa",
+      "ys a",
+      "Â Ĩ",
+      "ĠB Ä°R",
+      "íĨ ¤",
+      "à¤Ĥà¤Ĺ à¤łà¤¨",
+      "ÎĶ εν",
+      "à¥Į à¤ķर",
+      "à¥Įà¤ķ र",
+      "éĸĵ ãģ«",
+      "Ġм об",
+      "Ġмо б",
+      "ĠMo rav",
+      "ĠMor av",
+      "è§Ħ åĪĴ",
+      "ĠÑģвÑĸÑĤ Ñĸ",
+      "ul ts",
+      "ult s",
+      "Ġze mÃŃ",
+      "Ġzem ÃŃ",
+      "Âł ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł",
+      "ÂłĠÂłĠÂł ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł",
+      "ĠÐŁ оп",
+      "ĠÐŁÐ¾ п",
+      "ãģĤ ãģĴ",
+      "Ġpom oci",
+      "Ġpomoc i",
+      "ĠзмÑĸ ÑģÑĤ",
+      "Ġзм ÑĸÑģÑĤ",
+      "主 人",
+      "ĠS ı",
+      "ãĥĽ ãĥĨãĥ«",
+      "ĠÑĥва гÑĥ",
+      "å» ³",
+      "à¹Ģม à¸ķร",
+      "est li",
+      "Ġlo ạt",
+      "ãĤ¢ ãĥ¼",
+      "ĠÎĶ ε",
+      "Ġbun ları",
+      "Ġbunlar ı",
+      "Ġ çĤ¹åĩ»",
+      "ĠçĤ¹ åĩ»",
+      "Ġ BÃłi",
+      "ĠB Ãłi",
+      "ĠBÃł i",
+      "Ġ ä¸ĸ",
+      "Ġä¸ ĸ",
+      "Ġê³ł ê°ľë¥¼",
+      "ĠÐŃ ÑĤоÑĤ",
+      "ĠÐŃÑĤо ÑĤ",
+      "Ġmem nun",
+      "Ġ ।Ċ",
+      "Ġ। Ċ",
+      "ĠиÑģÑĤоÑĢ ии",
+      "Ġ ì°©",
+      "Ġì° ©",
+      "१ ९",
+      "१ॠ¯",
+      "ĠÐŀд нак",
+      "ĠÐŀдна к",
+      "Ġv ede",
+      "Ġve de",
+      "Ġved e",
+      "ÏĨ ÎŃÏģει",
+      "ÏĨÎŃ Ïģει",
+      "â b",
+      "çĬ¶ åĨµ",
+      "åįı è®®",
+      "Ġ ê°Ŀ",
+      "Ġê° Ŀ",
+      "е вид",
+      "ев ид",
+      "еви д",
+      "j mu",
+      "jm u",
+      "Ġколи ÑĩеÑģÑĤва",
+      "ĠколиÑĩ еÑģÑĤва",
+      "ĠколиÑĩе ÑģÑĤва",
+      "Ã Ľ",
+      "i Äįe",
+      "iÄį e",
+      "Ġfirm alar",
+      "Ġfir malar",
+      "Ġfirma lar",
+      "èĢ Ģ",
+      "к Ñĸн",
+      "кÑĸ н",
+      "ĠêµŃ 민",
+      "Ġ목 ë¡Ŀ",
+      "ĠÎļ αÏģ",
+      "ĠÎļα Ïģ",
+      "Ġhis sed",
+      "Ġhiss ed",
+      "ï¼ «",
+      "Ġ Tên",
+      "ĠT ên",
+      "ĠÑĤÑĭ ÑģÑıÑĩ",
+      "ØŃÙĬ ØŃ",
+      "Ġвпол не",
+      "ĠS ınıf",
+      "ĠSın ıf",
+      "Ġμ ην",
+      "Ġμη ν",
+      "Ġ íij¸",
+      "Ġí ij¸",
+      "ĠاÙĦ طبÙĬ",
+      "ĠاÙĦØ· بÙĬ",
+      "ĠاÙĦطب ÙĬ",
+      "ĠزÛĮ ب",
+      "Ġп Ñĥ",
+      "Ġp raž",
+      "Ġpr až",
+      "Ġpra ž",
+      "ìĹĨ ëĬĶ",
+      "θ ÏģÏī",
+      "Ġi çi",
+      "Ġiç i",
+      "Ġб Ñĸл",
+      "ĠбÑĸ л",
+      "Ðł Ñij",
+      "Ġì¶ķ 구",
+      "Ġl ạ",
+      "Ġ ãĥķãĤ¡",
+      "Ġãĥķ ãĤ¡",
+      "Ġ èĸ",
+      "Ġè ĸ",
+      "μα ÏĦο",
+      "éĩij å±ŀ",
+      "á li",
+      "ál i",
+      "ĠÙģ Ø£",
+      "ĠKar lov",
+      "ĠKarl ov",
+      "ĠZ áp",
+      "ĠZá p",
+      "ãĥª ãĥ³ãĤ°",
+      "ãĥªãĥ³ ãĤ°",
+      "ab ilmek",
+      "abil mek",
+      "ĠС и",
+      "Ġc ÃŃrk",
+      "ĠcÃŃ rk",
+      "Ġk á»ĭp",
+      "Ġà¤ij नल",
+      "ĠÙĪ ØŃدة",
+      "ĠÙĪØŃ Ø¯Ø©",
+      "ãĥĭ ãĥĥãĤ¯",
+      "Ġn Æ°á»Ľng",
+      "Ġа кÑĤÑĥ",
+      "Ġак ÑĤÑĥ",
+      "ĠакÑĤ Ñĥ",
+      "å¸Ŀ åĽ½",
+      "Ġn ázev",
+      "Ġnáz ev",
+      "ĠÑĢемон ÑĤ",
+      "ĠÑĢ инкÑĥ",
+      "ĠÏĢ άνÏī",
+      "ĠÏĢά νÏī",
+      "ÏĦ ικο",
+      "ÏĦικ ο",
+      "ÏĦι κο",
+      "ĠìĤ¼ ìĦ±",
+      "ĠÑģимпÑĤом Ñĭ",
+      "ĠÑĢа нÑĸÑĪе",
+      "ĠJ á",
+      "ĠÑģÑĩиÑĤа еÑĤÑģÑı",
+      "ĠÑģÑĩиÑĤ аеÑĤÑģÑı",
+      "Ġп оÑĢÑĸв",
+      "Ġпо ÑĢÑĸв",
+      "ĠпоÑĢ Ñĸв",
+      "ĠÐľ ал",
+      "ĠÐľÐ° л",
+      "éĿ¢ 积",
+      "ĠÙĦ غ",
+      "Ġج Ø´ÙĨ",
+      "Ġнед ели",
+      "Ġнедел и",
+      "Ġì¦Ŀ ê°Ģ",
+      "ãĨį ëıĻ",
+      "Ġl ượt",
+      "ĠÄIJ á»ĭnh",
+      "Ġ à¸Ńà¸Ńà¸Ļà¹Ħลà¸Ļ",
+      "Ġà¸Ń à¸Ńà¸Ļà¹Ħลà¸Ļ",
+      "Ġyap arak",
+      "Ġyapar ak",
+      "ĠÄij ai",
+      "ĠÄija i",
+      "Ġо ÑĦиÑĨи",
+      "Ġε μÏĢ",
+      "ξ ειÏĤ",
+      "ξει ÏĤ",
+      "Ġкон ÑĦеÑĢен",
+      "Ġ arası",
+      "Ġa rası",
+      "Ġar ası",
+      "Ġaras ı",
+      "Ġara sı",
+      "à¸ķ า",
+      "Ġ ë´IJ",
+      "Ġë´ IJ",
+      "о вана",
+      "ов ана",
+      "ова на",
+      "ован а",
+      "ì§Ģ ê°Ģ",
+      "ĠV ám",
+      "ि à¤ľà¤¨",
+      "à¤¿à¤ľ न",
+      "Ġ ç¼ĸè¾ij",
+      "Ġç¼ĸ è¾ij",
+      "ζ ÏĮ",
+      "ĠÏĦ ÏģÏĮ",
+      "Ġücret siz",
+      "ĠکاÙħ ÙĦا",
+      "ĠکاÙħÙĦ ا",
+      ": ::/",
+      ":: :/",
+      "::: /",
+      "à¹Į ĊĊ",
+      "à¹ĮĊ Ċ",
+      "Ġéĸ¢ éĢ£",
+      "Ġ kara",
+      "Ġk ara",
+      "Ġka ra",
+      "Ġkar a",
+      "Ġбез пеки",
+      "ĠzmÄĽ ny",
+      "ĠzmÄĽn y",
+      "Ġê¿ Ī",
+      "v rd",
+      "vr d",
+      "li ÄŁine",
+      "liÄŁi ne",
+      "liÄŁ ine",
+      "liÄŁin e",
+      "ĠاÙĨتخاب ات",
+      "ĠдоÑģ вÑĸд",
+      "Ġkter ého",
+      "Ġkteré ho",
+      "ен ÑĤом",
+      "енÑĤ ом",
+      "ê³µ ë¶Ģ",
+      "ìł Ŀ",
+      "Ġë§Į 족",
+      "Ġ æij",
+      "Ġæ ij",
+      "åĩº åı£",
+      "建 议",
+      "о ÑĤÑı",
+      "оÑĤ Ñı",
+      "Ġ Òij",
+      "ĠÒ ij",
+      "íĶĦ ë¡ľ",
+      "Ġg ió",
+      "Ġgi ó",
+      "ãĤ· ãĤ§",
+      "Ġλ εÏĢ",
+      "íķĺ 볤",
+      "Ġyok sa",
+      "Ġist ih",
+      "ï¼ ¶",
+      "ĠاÙĦ عÙħ",
+      "ĠاÙĦع Ùħ",
+      "Ġکار گرد",
+      "à¹Ģà¸ŀ ราะ",
+      "Ġn ových",
+      "Ġnov ých",
+      "Ġnový ch",
+      "ĠÑģ на",
+      "Ġs ana",
+      "Ġsa na",
+      "Ġsan a",
+      "व त",
+      "Ä±ÅŁ man",
+      "Ä±ÅŁma n",
+      "åı¦ å¤ĸ",
+      "ì¶ľìŀ¥ ìĥµ",
+      "å© ¦",
+      "ĠкоÑĪ ÑĤÑĸв",
+      "ĠÙĪاÙĦ ÙĨ",
+      "Ġب اÙĦØ¥",
+      "ĠباÙĦ Ø¥",
+      "Ġ æĬĢ",
+      "ĠæĬ Ģ",
+      "Ġмн оже",
+      "à¥Ĥ ड",
+      "ĠC ục",
+      "Ġe vet",
+      "Ġev et",
+      "Ġeve t",
+      "èģĶ åIJĪ",
+      "Ġ³³Ġ³³ Ġ³³Ġ³³",
+      "çļĦ å¿ĥ",
+      "Ġd áng",
+      "Ġdá ng",
+      "Ġdán g",
+      "اÛĮ سÙĩ",
+      "Ġ erken",
+      "Ġer ken",
+      "Ġerk en",
+      "æ³ ¡",
+      "ائ ب",
+      "Ġyap ıldı",
+      "Ġyapıl dı",
+      "ĠQu ản",
+      "æŶ 代",
+      "ìĽ ¨ìĸ´",
+      "ìĽ¨ ìĸ´",
+      "Ġг ÑĸÑĢ",
+      "ok oj",
+      "oko j",
+      "Ùĥ رة",
+      "Ùĥر Ø©",
+      "Ñİ Ðº",
+      "Ġvý j",
+      "Ġhod iny",
+      "Ġhodin y",
+      "Ġелек ÑĤÑĢон",
+      "m ıyor",
+      "ĠìŀĪ ëĭ¤ëĬĶ",
+      "ĠìŀĪëĭ¤ ëĬĶ",
+      "à¹ī à¹ī",
+      "иÑĤелÑĮ ное",
+      "иÑĤелÑĮно е",
+      "Ġyıl lar",
+      "Äı te",
+      "ĠÄįin nost",
+      "ุà¸ĵ à¸łà¸²à¸ŀ",
+      "í ĵ¨",
+      "н г",
+      "ู รà¸ĵ",
+      "ูร à¸ĵ",
+      "ĠпоÑĢÑıд ке",
+      "Ġëĭ¹ ìĭľ",
+      "ĠÐľ оÑģков",
+      "ĠÐľÐ¾Ñģк ов",
+      "Ġk red",
+      "Ġkr ed",
+      "Ġkre d",
+      "u rum",
+      "ur um",
+      "uru m",
+      "Ġ ÑĤÑı",
+      "ĠÑĤ Ñı",
+      "Ú© ÙĨاÙĨ",
+      "Ú©ÙĨ اÙĨ",
+      "д ии",
+      "ди и",
+      "ÑĢи мÑĸн",
+      "ÑĢим Ñĸн",
+      "ĠоÑĢгани зм",
+      "ĠоÑĢганиз м",
+      "Ġ éĽĨ",
+      "ĠéĽ Ĩ",
+      "ι ÏĥÏĦο",
+      "ιÏĥ ÏĦο",
+      "ä¿¡ çĶ¨",
+      "åįģ åĽĽ",
+      "à¹Ī à¹ĥà¸Ĭ",
+      "ĠÑĥ вид",
+      "ĠÑĥв ид",
+      "ัà¸ĩ à¸ģล",
+      "ัà¸ĩà¸ģ ล",
+      "åı¦ ä¸Ģ",
+      "ãĥ« ãĥķ",
+      "ัà¸ļ à¸Ľà¸£",
+      "ĠÃľ st",
+      "説 æĺİ",
+      "в ай",
+      "ва й",
+      "а Ñĩе",
+      "аÑĩ е",
+      "æ¬ £",
+      "Ġkat ıl",
+      "Ġkatı l",
+      "ĠC em",
+      "ĠCe m",
+      "ĠاÙĦ جÙĩ",
+      "ĠاÙĦج Ùĩ",
+      "Ġг ÑĢÑĥз",
+      "ĠгÑĢÑĥ з",
+      "ĠгÑĢ Ñĥз",
+      "Ġза ÑģÑĤав",
+      "ĠзаÑģÑĤ ав",
+      "cı lar",
+      "ĠÑħоÑĤ ел",
+      "Ġs nÃŃm",
+      "Ġsn ÃŃm",
+      "ĠsnÃŃ m",
+      "ï¼Į 被",
+      "Ġ виÑī",
+      "Ġв иÑī",
+      "Ġви Ñī",
+      "Ġdem okrat",
+      "Ġdemok rat",
+      "à¥ĩ à¤Łà¤°",
+      "à¥ĩà¤Ł र",
+      "åij¨ å¹´",
+      "Ġod pad",
+      "Ġodp ad",
+      "Ġda ÅĪ",
+      "Ġ 代",
+      "à¹ĩ à¸Ļà¸Ń",
+      "à¹ĩà¸Ļ à¸Ń",
+      "ĠÑģк олÑĮко",
+      "Ġα ÏĨ",
+      "ĠpÅĻes vÄĽd",
+      "Ġ åĵģ",
+      "Ġåĵ ģ",
+      "ĠинÑĦоÑĢм аÑĨии",
+      "ĠинÑĦоÑĢма ÑĨии",
+      "çĽ Ĺ",
+      "ãģ¾ ãģ¨",
+      "ĠÑģам ов",
+      "ĠÑģамо в",
+      "Ġpo cit",
+      "Ġpoc it",
+      "Ġíݸ ì§ij",
+      "ĠÑģм еÑģÑĮ",
+      "Ġpo jiÅ¡tÄĽnÃŃ",
+      "ãģ® ãĤĤ",
+      "à¹Ī าà¸ģาร",
+      "à¹Īา à¸ģาร",
+      "à¹Īาà¸ģ าร",
+      "ĠÛĮ ÙĪÙĨ",
+      "Ġ기 ìĸµ",
+      "ick ými",
+      "ický mi",
+      "ickým i",
+      "a lace",
+      "al ace",
+      "ala ce",
+      "鼻 å½±",
+      "Ñİ Ð²Ð°Ð½Ð½Ñı",
+      "缸 åIJĮ",
+      "Ġ ãĢĥ",
+      "ĠãĢ ĥ",
+      "ĠдокÑĥм енÑĤÑĸв",
+      "ĠдокÑĥменÑĤ Ñĸв",
+      "ï¼ ¹",
+      "åĪ° åºķ",
+      "ó z",
+      "ĠAh met",
+      "ĠÙħس اØŃت",
+      "Ġhl avou",
+      "Ġhlav ou",
+      "ül ebilir",
+      "üle bilir",
+      "ãĢĤ ä½ł",
+      "à¹ĩà¸ģ à¸Ĭาย",
+      "¤ ¤",
+      "Ġ æĦı",
+      "ĠæĦ ı",
+      "Ġch áºŃm",
+      ". д",
+      "Ġ cca",
+      "Ġc ca",
+      "Ġcc a",
+      "Ġol umsuz",
+      "Â ŀ",
+      "çĬ ¬",
+      "ĠпоÑģÑĤоÑıн но",
+      "Ġ.************** Ċ",
+      "Ġا ستر",
+      "Ġاست ر",
+      "Ġاس تر",
+      "ĠдалÑĮ ней",
+      "ů r",
+      "ä¿Ŀ èŃ·",
+      "боÑĢ аÑĤоÑĢ",
+      "боÑĢа ÑĤоÑĢ",
+      "Ã ·",
+      "Ïĥ ÏĦαν",
+      "ÏĥÏĦ αν",
+      "ÏĥÏĦα ν",
+      "ĠÙģ ÙĬÙĦÙħ",
+      "ĠÙģÙĬ ÙĦÙħ",
+      "ç ek",
+      "çe k",
+      "ìŀIJ 기",
+      "Ġ æ¥Ń",
+      "Ġæ¥ Ń",
+      "н Ñĸп",
+      "нÑĸ п",
+      "èī ĩ",
+      "Ġm oci",
+      "Ġmo ci",
+      "Ġmoc i",
+      "ìľ µ",
+      "리 그",
+      "ĠÐļ о",
+      "éĤ£ éĩĮ",
+      "ĠС ÑĤаÑĢ",
+      "ĠСÑĤ аÑĢ",
+      "ĠСÑĤа ÑĢ",
+      "ĠتÙĪاÙĨ ÛĮد",
+      "Ġng uyá»ĩn",
+      "Ġnguy á»ĩn",
+      "Ġ สามารà¸ĸ",
+      "Ġส ามารà¸ĸ",
+      "Ñĸ Ñĩна",
+      "ÑĸÑĩ на",
+      "Ġ 被",
+      "Ġè¢ «",
+      "ุà¸ķสาห à¸ģรรม",
+      "Ġع صر",
+      "Ġعص ر",
+      "ĠÃľNÄ° VERS",
+      "Ġteh dy",
+      "ĠÙĪصÙĦ ات",
+      "ĠÙĪص ÙĦات",
+      "ä¿Ŀ è¯ģ",
+      "ĠE udicots",
+      "ĠÎł ÎŃ",
+      "建 è¨Ń",
+      "ĠìłĦ êµŃ",
+      "Ġ ØŃÛĮ",
+      "ĠØŃ ÛĮ",
+      "ãĤ¤ ãĥĦ",
+      "ĠØŃ Ø§ØµÙĦ",
+      "ĠجÙĨ ÙĪبÛĮ",
+      "ĠجÙĨÙĪب ÛĮ",
+      "ãĢģ æĹ¥æľ¬",
+      "Ã Ļ",
+      "Ġ à¸Ĺาà¸ĩ",
+      "Ġà¸Ĺ าà¸ĩ",
+      "ĠÙĨØŃ ÙĪ",
+      "اÙĩ ÙĬÙħ",
+      "å¾Į ãģ«",
+      "à¸Īะ à¹Ħà¸Ķ",
+      "åĩł 个",
+      "à¥ģ à¤ģ",
+      "à¥ģठģ",
+      "ëĮĢ ìĿĺ",
+      "Ġl Ãłn",
+      "ĠlÃł n",
+      "ìĽĶ ë¶ĢíĦ°",
+      "Æ ł",
+      "Ġ еди",
+      "Ġе ди",
+      "Ġs pis",
+      "Ġsp is",
+      "Ġspi s",
+      "æľī ä»Ģä¹Ī",
+      "Ġneb yla",
+      "Ġneby la",
+      "Ġnebyl a",
+      "Ġíķ´ ìĻ¸",
+      "ë¡ľ ë¶ĢíĦ°",
+      "аÑĢ Ñħ",
+      "l ili",
+      "li li",
+      "lil i",
+      "Ġíķĺ 루",
+      "ma ması",
+      "mam ası",
+      "Ñĩ аеÑĤ",
+      "Ñĩа еÑĤ",
+      "ĠØŃ Ø§ÙĦØ©",
+      "ĠØŃاÙĦ Ø©",
+      "ĠBöl üm",
+      "缸 éĹľ",
+      "ĠдÑĢÑĥг ими",
+      "ĠдÑĢÑĥгим и",
+      "çĽ£ çĿ£",
+      "à¥Ī à¤ľ",
+      "Ġعبد اÙĦÙĦÙĩ",
+      "ĠعبداÙĦ ÙĦÙĩ",
+      "Ġ è¿ŀ",
+      "Ġè¿ ŀ",
+      "ĠÐľ ин",
+      "ĠÐľÐ¸ н",
+      "Ġê¸ °ëĭ¤",
+      "Ġ기 ëĭ¤",
+      "Ġê³µ 격",
+      "è¡Į åĭķ",
+      "ा मà¤ķ",
+      "ाम à¤ķ",
+      "æ±Ĥ è´Ń",
+      "模 åŀĭ",
+      "Ñģ оÑĢ",
+      "Ñģо ÑĢ",
+      "r ane",
+      "ra ne",
+      "ran e",
+      "à¹ĩà¸Ī à¸ŀระ",
+      "ĠÙħس ÛĮر",
+      "è£ħ ç½®",
+      "ìķ ¤",
+      "nÄĽ jÅ¡ÃŃch",
+      "nÄĽjÅ¡ÃŃ ch",
+      "αλ ÏįÏĦε",
+      "ĠH akk",
+      "ĠHa kk",
+      "ĠHak k",
+      "访 éĹ®",
+      "ĠÑĤ еÑĩ",
+      "ĠÑĤе Ñĩ",
+      "ĠL á»ĭch",
+      "Ġدش ÙħÙĨ",
+      "Î Į",
+      "Ġ ÏĢε",
+      "ĠÏĢ ε",
+      "Ġза мов",
+      "Ġзам ов",
+      "Ġb irim",
+      "Ġbi rim",
+      "Ġbir im",
+      "Ġbiri m",
+      "ãĤ· ãĤ¹ãĥĨãĥł",
+      "ĠÏĢÏģο ÏĬ",
+      "Ĭ ìĿĢ",
+      "в иг",
+      "ви г",
+      "Ġëıħ ìĿ¼",
+      "ĠÑĢев олÑİ",
+      "Ġ é¦Ļ港",
+      "Ġé¦Ļ 港",
+      "Ġ lez",
+      "Ġl ez",
+      "Ġle z",
+      "ĠبÛĮ Ùħار",
+      "ĠبÛĮÙħ ار",
+      "Ġduy gu",
+      "Ġduyg u",
+      "Ġë Ľ°",
+      "Ġa macı",
+      "Ġam acı",
+      "Ġama cı",
+      "Ġamac ı",
+      "à¥įय प",
+      "ĠìŀIJ ìĦ¸",
+      "اÙĪ ÛĮر",
+      "اÙĪÛĮ ر",
+      "Ġs pole",
+      "Ġsp ole",
+      "Ġspo le",
+      "Ġspol e",
+      "Ãĸ L",
+      "Ġ جع",
+      "Ġج ع",
+      "ÙĦ ÛĮÙħ",
+      "ÙĦÛĮ Ùħ",
+      "ãģªãģ© ãģ®",
+      "à¸Ľà¸£à¸°à¸ª à¸ļ",
+      "ĠnaÅ¡ ich",
+      "ĠпÑĢедÑģÑĤав лÑıеÑĤ",
+      "Ġзд об",
+      "Ġo bou",
+      "Ġob ou",
+      "Ø® ÙĪاÙĨ",
+      "Ø®ÙĪ اÙĨ",
+      "ãĥ¬ ãĥĥãĥĪ",
+      "о дейÑģÑĤв",
+      "од ейÑģÑĤв",
+      "Ú© رÛĮ",
+      "کر ÛĮ",
+      "Ġات اÙĤ",
+      "ĠÑįкÑģп лÑĥаÑĤа",
+      "ï½ ¢",
+      "ĠÙĦÙĦ Ø¥",
+      "ĠاÙĦÙĨ ظاÙħ",
+      "ĠíĶĦ ëŀijìĬ¤",
+      "ıs ıt",
+      "ısı t",
+      "åŃ Ļ",
+      "Ġžád ný",
+      "ÙĤ Ùī",
+      "ัà¸ģ à¹Ģร",
+      "Ġë²ł ìĬ¤íĬ¸",
+      "Ġ ãĥ«",
+      "Ġãĥ «",
+      "åı Ķ",
+      "n ické",
+      "nic ké",
+      "nick é",
+      "Ġε ιÏĥ",
+      "Ġει Ïĥ",
+      "ãĥ« ãĥī",
+      "Ġدار Ùħ",
+      "Ġг ем",
+      "Ġге м",
+      "Ġ åѸ",
+      "ĠåŃ ¸",
+      "ान सà¤Ń",
+      "ानस à¤Ń",
+      "али зи",
+      "ализ и",
+      "ов анÑĸ",
+      "ова нÑĸ",
+      "ован Ñĸ",
+      "Ġо бо",
+      "Ġоб о",
+      "ìłĦ ìĹIJ",
+      "ĠS inh",
+      "ĠSi nh",
+      "ĠSin h",
+      "Ġ ÙĨع",
+      "ĠÙĨ ع",
+      "Ġоб лаÑģ",
+      "Ġобла Ñģ",
+      "Ġобл аÑģ",
+      "Ïħ ÏĢ",
+      "èĥ ¶",
+      "Ġaz alt",
+      "Ġazal t",
+      "åħ¨ éĿ¢",
+      "ĠK romÄĽ",
+      "ĠKro mÄĽ",
+      "ĠC z",
+      "æĬ¥ åIJį",
+      "Ġnásled ujÃŃcÃŃ",
+      "Ġна пÑĢиклад",
+      "ĠнапÑĢи клад",
+      "ãģª ãģijãĤĮãģ°",
+      "à¸Ń าย",
+      "çľĭ çľĭ",
+      "Ġà¸ģร à¸ģà¸İ",
+      "Ġà¸ģรà¸ģ à¸İ",
+      "ed nou",
+      "edn ou",
+      "ا زÙĦ",
+      "از ÙĦ",
+      "ãĢģ æľ¬",
+      "е Ñģи",
+      "еÑģ и",
+      "Ġta rz",
+      "Ġtar z",
+      "ãĢĢ ï¾Ĭ",
+      "Ġroz um",
+      "ãĤ« ãĥ¼ãĥī",
+      "ãĤ«ãĥ¼ ãĥī",
+      "Ġà¤ĩ à¤ķ",
+      "Ġpros tÄĽ",
+      "Ġprost ÄĽ",
+      "ĠÎĵ κ",
+      "ç© ´",
+      "ĠH ük",
+      "la vÃŃ",
+      "lav ÃŃ",
+      "ê ¿",
+      "é¸ ¡",
+      "Ġвозник аеÑĤ",
+      "Ġвозника еÑĤ",
+      "ÑŁ ÑŁÑŁ",
+      "ÑŁÑŁ ÑŁ",
+      "Ġпо нима",
+      "Ġпон има",
+      "ÐŁ Ðŀ",
+      "ãģĶãģĸ ãģĦãģ¾ãģĻ",
+      "ãģ ħ",
+      "Ġtr val",
+      "Ġдал еко",
+      "ĠÙĨ ÙĬز",
+      "ĠÙĨÙĬ ز",
+      "ĠвÑĭ Ñıв",
+      "ิà¸Ĺย า",
+      "ิà¸Ĺ ยา",
+      "Ġl á»Ĺ",
+      "Ġlá» Ĺ",
+      "à¹Ģ สà¸Ļ",
+      "à¹Ģส à¸Ļ",
+      "ĠÑģÑĤ енÑĭ",
+      "ĠÑģÑĤен Ñĭ",
+      "à¥įड ल",
+      "Ġjednotliv ých",
+      "ĠпÑĢиб лиз",
+      "i kat",
+      "ik at",
+      "ika t",
+      "Ġп одав",
+      "Ġпо дав",
+      "Ġпод ав",
+      "Ġпода в",
+      "ر ÛĮز",
+      "رÛĮ ز",
+      "ĠØ¢ÙĨ جا",
+      "社 æľĥ",
+      "Ġà¤ľà¤¨ वर",
+      "Ġa ile",
+      "Ġai le",
+      "Ġail e",
+      "ี à¸Ľ",
+      "Ġ èħ",
+      "Ġè ħ",
+      "ãģ§ ãģĹãĤĩãģĨ",
+      "С Ðŀ",
+      "ãĢģ ãĢĬ",
+      "ìĿ¼ 본",
+      "ov anou",
+      "ova nou",
+      "ovan ou",
+      "ν ÏĮ",
+      "å± ¥",
+      "ع ÙĦÙĤ",
+      "عÙĦ ÙĤ",
+      "Ġìī ½",
+      "Ġгли б",
+      "Ġê²ĥ ìŀħëĭĪëĭ¤",
+      "ĠнеобÑħодим оÑģÑĤи",
+      "ĠнеобÑħодимо ÑģÑĤи",
+      "Ġتخصص ÛĮ",
+      "ا سر",
+      "اس ر",
+      "ï¼Į 说",
+      "ĠÐĿ Ñĸ",
+      "Ġvy rob",
+      "ÑĪ ÑĥÑİ",
+      "ÑĪÑĥ Ñİ",
+      "æĪ¿ å±ĭ",
+      "Âł ÐĹ",
+      "à¹Ģ à¸ŀล",
+      "à¹Ģà¸ŀ ล",
+      "åĨħ éĥ¨",
+      "ĠدÙĦ ار",
+      "Ġп ÑĤи",
+      "Å¡ ti",
+      "Å¡t i",
+      "ĠaraÅŁtır ma",
+      "Ġзна ком",
+      "Ġε λλην",
+      "Ġ ấm",
+      "ÑĢ ак",
+      "ÑĢаРº",
+      "ÑĢа к",
+      "ãĤŃ ãĥ¥",
+      "Ġth áºŃn",
+      "èŃ ľ",
+      "ëªħ ìĿĺ",
+      "Ġy eter",
+      "Ġyet er",
+      "Ġye ter",
+      "Ġна Ñģлед",
+      "ĠнаÑģ лед",
+      "ĠÐļ ан",
+      "ĠÐļа н",
+      "ĠвÑĭ биÑĢа",
+      "ĠвÑĭб иÑĢа",
+      "ĠΣ Ïĩ",
+      "ĠÑĤеÑĢ мÑĸн",
+      "Ġ æ´»",
+      "Ġæ´ »",
+      "ĠاÙĦ تÙģ",
+      "ĠاÙĦت Ùģ",
+      "ĠJ apon",
+      "ĠJa pon",
+      "ĠJap on",
+      "éĤ ª",
+      "ë¶Ħ ìĦĿ",
+      "Ġли ÑĨо",
+      "ĠлиÑĨ о",
+      "Ġm ê",
+      "à¸Ħ วร",
+      "à¸Ħว ร",
+      "Ġà¤ħ à¤Ĺल",
+      "Ġà¤ħà¤Ĺ ल",
+      "ĠÙĩ ج",
+      "룬 ìļ´",
+      "Ġвой нÑĭ",
+      "اÙĪر زÛĮ",
+      "ĠÑģп ÑĢÑı",
+      "çĦ ¼",
+      "è¢ ĸ",
+      "Ġiç eren",
+      "Ġiçer en",
+      "Ġëħ¸ ëŀĺ",
+      "ĠЧеÑĢ ез",
+      "ÙĪج ÙĪد",
+      "Ñı ÑĤие",
+      "ÑıÑĤ ие",
+      "ÑıÑĤи е",
+      "à¸Ńลล าร",
+      "è ·¨",
+      "è· ¨",
+      "ĠM illi",
+      "ĠMill i",
+      "ĠMil li",
+      "ĠMi lli",
+      "件 äºĭ",
+      "Ġ æľĿ",
+      "βολ ή",
+      "βο λή",
+      "Ġ ков",
+      "Ġк ов",
+      "Ġко в",
+      "ĠØ´Ùĩ ÛĮد",
+      "ä¸ĭ åİ»",
+      "Ġìłķ ìĭł",
+      "оÑĩ кÑĥ",
+      "ï¼Į 便",
+      "γ κε",
+      "γκ ε",
+      "ĠÙħ باش",
+      "ĠÙħب اش",
+      "Ġay ında",
+      "Ġ ä»»",
+      "ÑģÑĤоÑĢ ÑĸÑı",
+      "ä¸Ń åѦ",
+      "ç¸ ®",
+      "ĠÑĦ Ñĸл",
+      "ãĢģ ãĤĦ",
+      "Ġ æĺ¥",
+      "Ġæĺ ¥",
+      "Ġter ör",
+      "Ġповин ен",
+      "Ġmilion ů",
+      "ĠÙģ ارس",
+      "ĠÙģار س",
+      "Ġв вод",
+      "Ġвв од",
+      "Ø· اÙĦ",
+      "Ġê¶ģ ê¸Ī",
+      "Ġuk áz",
+      "çĶ ľ",
+      "æļ Ĥ",
+      "ص ت",
+      "Ðļ огда",
+      "Ġम ल",
+      "ά να",
+      "άν α",
+      "Ġдок ÑĤоÑĢ",
+      "Ġком мÑĥ",
+      "ĠпÑĸд Ñģ",
+      "Ġà¸ģรà¸ģà¸İ าà¸Ħม",
+      "Âł г",
+      "Ġö ne",
+      "Ġön e",
+      "ĠÄIJ á»ģ",
+      "ĠÄIJá» ģ",
+      "äºĭ åĭĻ",
+      "Ġs rov",
+      "Ġsr ov",
+      "Ġ άν",
+      "Ġά ν",
+      "ëıĦ ê°Ģ",
+      "acaģ ım",
+      "acaģı m",
+      "к ол",
+      "ко л",
+      "Ġb á»ĵi",
+      "Ġپرد از",
+      "Ġ ä¸ļ",
+      "Ġä¸ ļ",
+      "ëĭ¤ ìļ´",
+      "Ġп ÑĢедел",
+      "ĠпÑĢед ел",
+      "ĠпÑĢе дел",
+      "ĠÑĦедеÑĢа лÑĮ",
+      "ĠاÙĦ Ø£Ùĥ",
+      "ĠاÙĦØ£ Ùĥ",
+      "ãĢĢ ãĢĢãĢĢãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢ ãĢĢãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢ ĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢãĢĢ ãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢãĢĢãĢĢĠãĢĢ ĠãĢĢ",
+      "Ġtr ấn",
+      "Ġд лин",
+      "Ġдли н",
+      "ĠÑĸ мп",
+      "ĠÑĸм п",
+      "ĠsmÄĽ rem",
+      "° ëĭ¤",
+      "Ġr ừng",
+      "ici álnÃŃ",
+      "è¡ Ĩ",
+      "μ ιο",
+      "μι ο",
+      "Ġاد ارÙĩ",
+      "ĠÑĤ ÑĢÑĮ",
+      "ĠÑĤÑĢ ÑĮ",
+      "ĠÄ° li",
+      "ĠÄ°l i",
+      "มà¸Ļ à¸ķร",
+      "à¥įव à¤ļ",
+      "е ÑĢо",
+      "еÑĢ о",
+      "ĠK UR",
+      "sk ými",
+      "ský mi",
+      "ským i",
+      "δ ί",
+      "u tin",
+      "ut in",
+      "uti n",
+      "Ġver iler",
+      "Ġveri ler",
+      "สà¸ĸาà¸Ļ à¸Ĺ",
+      "ĠзаÑħод Ñĸв",
+      "ĠÙģرÙĪد گاÙĩ",
+      "Ġ çĶ±",
+      "ู à¹ģล",
+      "éĥ ij",
+      "ĠJ ako",
+      "ĠJa ko",
+      "ĠJak o",
+      "ĠÑĢазвиÑĤи е",
+      "ĠÑĢазви ÑĤие",
+      "à¤ī न",
+      "ÙĬ دا",
+      "ÙĬد ا",
+      "Ġà¸ŀ à¸¤à¸©à¸łà¸²à¸Ħม",
+      "물 ìĿĦ",
+      "ë łĢ",
+      "ëł Ģ",
+      "- ÐĽ",
+      "ãĢĤ ãģĤ",
+      "Ġпод в",
+      "ï¼ī ï¼ļ",
+      "论 åĿĽ",
+      "ائ ع",
+      "ãĤĴ ãģĻãĤĭ",
+      "ĠØ£ ص",
+      "Ñĩ ики",
+      "Ñĩи ки",
+      "Ñĩик и",
+      "ĠÑģÑĤ ил",
+      "ley ici",
+      "Ñģ илÑĮ",
+      "Ñģи лÑĮ",
+      "Ġbulun du",
+      "ĠÑģеÑĢед ови",
+      "à¤Ĥ र",
+      "ĠاÛĮÙĨ جا",
+      "åľŃ åľŃ",
+      "ĠmyÅ¡ len",
+      "ĠÑĢозвиÑĤ ок",
+      "Ġiy ileÅŁ",
+      "Ġiyi leÅŁ",
+      "Ġв Ñĸз",
+      "ĠвÑĸ з",
+      "ëĤĺ 무",
+      "æĦı è§ģ",
+      "ι ÏĥÏĦη",
+      "ιÏĥ ÏĦη",
+      "ãĥĥ ãĥĦ",
+      "äºĭ æķħ",
+      "m adıģı",
+      "ma dıģı",
+      "mad ıģı",
+      "madı ģı",
+      "Ġà¤ħ पर",
+      "Ġà¤ħप र",
+      "ĠÚĨ رخ",
+      "Ġп лав",
+      "Ġпл ав",
+      "Ġпла в",
+      "以 æĿ¥",
+      "Ġë© Ģ",
+      "T uy",
+      "Tu y",
+      "ãĥ¼ ãĥį",
+      "ãĥ¼ãĥ į",
+      "Ġиз ÑĥÑĩ",
+      "ĠstÅĻed nÃŃ",
+      "课 ç¨ĭ",
+      "Ġê·¸ëħĢ ëĬĶ",
+      "ĠдоговоÑĢ Ñĥ",
+      "Ġдогов оÑĢÑĥ",
+      "ĠÄij á»ĭch",
+      "ĠÄijá»ĭ ch",
+      "Ġkar arı",
+      "Ġkarar ı",
+      "Ġkara rı",
+      "åIJ ´",
+      "Ùĥ اÙħ",
+      "ĠпоÑĤ ол",
+      "в ок",
+      "во к",
+      "ĠD üz",
+      "Τ α",
+      "å µ",
+      "âĢĻ na",
+      "âĢĻn a",
+      "а дж",
+      "ад ж",
+      "ĠdÅĻÃŃ ve",
+      "æ¢ ¨",
+      "ĠAv ust",
+      "åĬĽ ãĤĴ",
+      "à¹Ģ à¸ģล",
+      "à¹Ģà¸ģ ล",
+      "Ġпоб ед",
+      "Ġп ÑĢиÑĩ",
+      "ĠпÑĢ иÑĩ",
+      "ĠпÑĢи Ñĩ",
+      "ĠÐij Ñĸ",
+      "åŃ ¤",
+      "ĠÐł ег",
+      "ĠÐłÐµ г",
+      "Ġyet iÅŁ",
+      "Ġн еÑİ",
+      "Ġне Ñİ",
+      "Ġb ÃŃl",
+      "ĠbÃŃ l",
+      "ìĹĨ ìĿĮ",
+      "ĠÄ° talya",
+      "ÐĴ Ñģе",
+      "å¾Į ãģ®",
+      "Ġje jÃŃm",
+      "Ġjej ÃŃm",
+      "ĠjejÃŃ m",
+      "ĠвиглÑı дÑĸ",
+      "о гÑĢад",
+      "ог ÑĢад",
+      "огÑĢа д",
+      "Ġbo hat",
+      "Ġboh at",
+      "Ġ åħĭ",
+      "Ġåħ ĭ",
+      "ĠдиÑĤи ни",
+      "ĠдиÑĤ ини",
+      "лÑı ÑĤоÑĢ",
+      "ма га",
+      "маг а",
+      "ëĭĪ ìĬ¤",
+      "ĠÐł ади",
+      "ĠÐłÐ°Ð´ и",
+      "ĠÐłÐ° ди",
+      "ÏĢ οÏħÏģγ",
+      "ÏĢοÏħ Ïģγ",
+      "& ZeroWidthSpace",
+      "Ġ struk",
+      "Ġst ruk",
+      "Ġstr uk",
+      "Ġstru k",
+      "æIJ ŀ",
+      "Ġ ãģĿãģ®ä»ĸ",
+      "ìĿ¸ ìĿĦ",
+      "ĠпÑĢо веÑģÑĤи",
+      "ĠпÑĢов еÑģÑĤи",
+      "漫 çĶ»",
+      "Ġçİ© 家",
+      "ĠÙĪ رز",
+      "ĠÙĪر ز",
+      "ĠÑģвоÑĹ Ð¼",
+      "ĠL RV",
+      "ĠLR V",
+      "ิà¸ķ à¸ł",
+      "स त",
+      "ĠíĿ Ķ",
+      "âĹıâĹıâĹıâĹıâĹıâĹıâĹıâĹı âĹıâĹıâĹıâĹıâĹıâĹıâĹıâĹı",
+      "Ġt voÅĻÃŃ",
+      "ĠtvoÅĻ ÃŃ",
+      "Ġ ÐŁÐŀ",
+      "ĠÐŁ Ðŀ",
+      "é«ĺ 度",
+      ".h wp",
+      ".hw p",
+      "à¸ķำ à¸ļล",
+      "Ġد س",
+      "ìĪĺ ê°Ģ",
+      "ìĶ ©",
+      "ï¼ī ãĢĤĊ",
+      "ï¼īãĢĤ Ċ",
+      "æĭ ³",
+      "Ġl ô",
+      "ĠK ültür",
+      "اط عة",
+      "Ġku chy",
+      "Ġst roj",
+      "Ġstr oj",
+      "Ġstro j",
+      "μ ενο",
+      "με νο",
+      "μεν ο",
+      "ĠконÑģÑĤÑĢÑĥк ÑĨии",
+      "å°ı åѦ",
+      "Ġ åįļ",
+      "Ġåį ļ",
+      "Ġ èĢĥ",
+      "ĠèĢ ĥ",
+      "Ġas ıl",
+      "æĪij åĢij",
+      "خر اج",
+      "ĠO nun",
+      "ĠOn un",
+      "Ġ ç¾İåĽ½",
+      "Ġç¾İ åĽ½",
+      "à¥Ĥ बर",
+      "à¥Ĥब र",
+      "Ġmu ži",
+      "Ġmuž i",
+      "å§ «",
+      "Ġв б",
+      "Ġдо ме",
+      "Ġдом е",
+      "Ġ ам",
+      "Ġа м",
+      "Ġk uru",
+      "Ġkur u",
+      "Ġku ru",
+      "æ± Ĺ",
+      "l ediÄŁi",
+      "le diÄŁi",
+      "ledi ÄŁi",
+      "Ġv ẽ",
+      "å¾ ĵ",
+      "ĠгÑĥб еÑĢ",
+      "ĠÑģÑĤанов иÑĤÑĮ",
+      "ĠzemÄĽ dÄĽl",
+      "ÙĦ ÙĦ",
+      "Ġr amen",
+      "Ġra men",
+      "Ġram en",
+      "Ġprů bÄĽhu",
+      "Ġb lok",
+      "Ġbl ok",
+      "Ġblo k",
+      "ý val",
+      "ýv al",
+      "v ou",
+      "vo u",
+      "ν ά",
+      "ëĶĶ ìĭľ",
+      "ÑĨион нÑĭе",
+      "Ġê²Įìĭľ íĮIJ",
+      "ãĥ³ ãĥĩãĤ£",
+      "ãĥ³ãĥĩ ãĤ£",
+      "ä¸Ģ 级",
+      "и Ñĩа",
+      "иÑĩ а",
+      "ĠسرÛĮ اÙĦ",
+      "i lin",
+      "il in",
+      "ili n",
+      "ा यन",
+      "ाय न",
+      "ÙĨ ÙĪÛĮس",
+      "ĠÐĶ и",
+      "Ġاد بÛĮ",
+      "ĠÑĥ дов",
+      "ĠÑĥд ов",
+      "ĠÐĹ Ð°Ð¼",
+      "ĠÐĹа м",
+      "à¥ģà¤Ń व",
+      "Ñģ ок",
+      "Ñģо к",
+      "ĠÑĢай оне",
+      "ĠÑĢайон е",
+      "Ġ EK",
+      "ĠE K",
+      "æĤ ī",
+      "Ġsor umlu",
+      "Ġsoruml u",
+      "Ġzv yÅ¡",
+      "à¹Ģà¸ĭ à¸Ńร",
+      "in áÅĻ",
+      "iná ÅĻ",
+      "Ġu drž",
+      "Ġud rž",
+      "но вид",
+      "нов ид",
+      "ĠspoleÄį nÄĽ",
+      "Ġspole ÄįnÄĽ",
+      "æĪIJ äºĨ",
+      "ï¼ ¤",
+      "ัà¸ŀ à¸Ĺ",
+      "а ÑĪа",
+      "аÑĪ а",
+      "ĠÙĨ ادÙĬ",
+      "à¹ĥ à¸Ļà¸Ĺ",
+      "à¹ĥà¸Ļ à¸Ĺ",
+      "å¡ ļ",
+      "Ġس Ú©",
+      "ãĥģ ãĥ¥",
+      "ĠмаÑĢ ÑĪ",
+      "а леннÑı",
+      "ал еннÑı",
+      "ĠØŃÙħ اÛĮت",
+      "ãĥ³ ãĤ¸",
+      "รษ à¸IJ",
+      "Ġк ÑĢем",
+      "ĠK ažd",
+      "ê ½",
+      "Ġpar lament",
+      "Ġparl ament",
+      "ĠÅŁ un",
+      "ĠÅŁu n",
+      "Ġk ys",
+      "Ġky s",
+      "ÏĦ ÏĤ",
+      "ê°ľ ìĿĺ",
+      "Ġve lice",
+      "Ġvel ice",
+      "Ġce stu",
+      "Ġces tu",
+      "Ġcest u",
+      "ظ ة",
+      "è¯ Ĭ",
+      "Ġ út",
+      "Ġú t",
+      "ĠØ® ÙĪر",
+      "ĠØ®ÙĪ ر",
+      "ĠТ е",
+      "Ġобла ÑģÑĤ",
+      "ĠоблаÑģ ÑĤ",
+      "Ġобл аÑģÑĤ",
+      "à¹Ī à¸Ńà¸ķ",
+      "à¹Īà¸Ń à¸ķ",
+      "ĠAc adem",
+      "ĠAcad em",
+      "ãĢĤ æľ¬",
+      "Ġ 風",
+      "Ġé¢ ¨",
+      "Ñģ ен",
+      "Ñģе н",
+      "ãĥ¢ ãĥĩãĥ«",
+      "Ġзавд аннÑı",
+      "ãģ¾ ãĤĮ",
+      "моÑĤ ÑĢеÑĤÑĮ",
+      "моÑĤÑĢ еÑĤÑĮ",
+      "Ġkh á»ķ",
+      "à¹Ī ร",
+      "د رس",
+      "در س",
+      "ĠÄĮesk osloven",
+      "Ġ 计",
+      "Ġè® ¡",
+      "ĠÑĤак ом",
+      "ĠÑĤа ком",
+      "ĠÙĦ اعب",
+      "ĠÙĦا عب",
+      "ĠMuham med",
+      "ĠÙħ ÙĦÙģ",
+      "ĠÙħÙĦ Ùģ",
+      "ĠÙĪس ÙĦÙħ",
+      "ãĤ·ãĥ£ ãĥ«",
+      "Ġо кÑĢа",
+      "Ġок ÑĢа",
+      "à¥ģ मत",
+      "à¥ģम त",
+      "ĠëĪĦ 구",
+      "Ġned eni",
+      "Ġneden i",
+      "ĠëĤł ì§ľ",
+      "/ km",
+      "/k m",
+      "Ġд емон",
+      "Ġде мон",
+      "Ġдем он",
+      "ĠصÙĨ اÛĮع",
+      "m asından",
+      "mas ından",
+      "masında n",
+      "åīį ãģ®",
+      "æĪIJ 绩",
+      "ल à¤Ĺ",
+      "Ġ åĮħ",
+      "ĠåĮ ħ",
+      "à¸Ńà¸ģà¸Īาà¸ģ à¸Ļ",
+      "ا دا",
+      "اد ا",
+      "Ġay lık",
+      "ĠÙħ ÙĤد",
+      "ĠÙħÙĤ د",
+      "Ġönemli dir",
+      "ĠìĪľ ê°Ħ",
+      "Ġd inh",
+      "Ġdi nh",
+      "Ġdin h",
+      "Ġná kup",
+      "ist ické",
+      "istic ké",
+      "åº Ł",
+      "ìĬ¤ íĨł",
+      "Ġd ny",
+      "Ġdn y",
+      "ĠìŀĪ ëıĦë¡Ŀ",
+      "ìĽIJ ìĿĺ",
+      "ãĥķ ãĥ¬",
+      "p oz",
+      "po z",
+      "Ġ ев",
+      "Ġе в",
+      "ĠdÃ¼ÅŁ ür",
+      "à¥įर à¤ļ",
+      "Ġê²° íĺ¼",
+      "Ġ ÑĨенÑĤÑĢа",
+      "ĠÑĨенÑĤ ÑĢа",
+      "ĠÑĨен ÑĤÑĢа",
+      "ĠÑĨенÑĤÑĢ а",
+      "åŁ ĭ",
+      "ï¿£ ï½Ģ",
+      "æѦ åĻ¨",
+      "à¹Īาà¸Ļ มา",
+      "Ġर व",
+      "Ùij د",
+      "μÎŃ Î½Î¿Î¹",
+      "μÎŃν οι",
+      "μÎŃνο ι",
+      "Ġë§IJ ìĶĢ",
+      "Ġpo ÅĻad",
+      "Ġب غ",
+      "ĠÏĮ λα",
+      "ĠÏĮλ α",
+      "à¹ī à¹Ħà¸Ĥ",
+      "à¹Ģà¸ģ าะ",
+      "Ġb ạc",
+      "Ġd á",
+      "d ÄĽla",
+      "dÄĽ la",
+      "dÄĽl a",
+      "Ġt eb",
+      "Ġte b",
+      "Ġk èo",
+      "ãĤı ãĤĮ",
+      "Ġist iyorum",
+      "Ġistiyor um",
+      "λ ήÏĤ",
+      "λή ÏĤ",
+      "ÐIJ в",
+      "Ġa sla",
+      "Ġas la",
+      "Ġperform ans",
+      "Ġperfor mans",
+      "Ġperforman s",
+      "ĠVác lav",
+      "Ïģ ίαÏĤ",
+      "Ïģί αÏĤ",
+      "Ïģία ÏĤ",
+      "Ġ tÄĽl",
+      "Ġt ÄĽl",
+      "ĠtÄĽ l",
+      "æĮ Ļ",
+      "о ба",
+      "об а",
+      "ãģij ãĤĮãģ©",
+      "ĠëĶ ¸",
+      "ÙĪ اء",
+      "ÙĪا Ø¡",
+      "ĠÚ©ÙĪد کاÙĨ",
+      "ĠÚ©ÙĪدک اÙĨ",
+      "Ġп лиÑĤ",
+      "Ġпл иÑĤ",
+      "Ġ bilir",
+      "Ġb ilir",
+      "Ġbil ir",
+      "Ñĥ же",
+      "Ñĥж е",
+      "ÏĦÎŃ Î»Îµ",
+      "Ġà¤Ĩ à¤ķर",
+      "Ġà¤Ĩà¤ķ र",
+      "ĠÑĤÑĢ Ñĥда",
+      "ĠÑĤÑĢÑĥ да",
+      "ĠÑĤÑĢÑĥд а",
+      "Ġدر ÛĮا",
+      "ĠدرÛĮ ا",
+      "Ì §",
+      "Ġng á»įt",
+      "ÙĨس ا",
+      "а ÑģÑĤи",
+      "аÑģ ÑĤи",
+      "аÑģÑĤ и",
+      "ï½ £",
+      "Âł на",
+      "ем Ñĭе",
+      "Ġس عÙĪد",
+      "Ġسع ÙĪد",
+      "Ġ alım",
+      "Ġal ım",
+      "è´ «",
+      "åĪ° çļĦ",
+      "Ġkesin likle",
+      "Ġzá sad",
+      "Ġ ìĬ¤íĬ¸",
+      "ĠìĬ¤ íĬ¸",
+      "Ġd ahi",
+      "Ġda hi",
+      "Ġdah i",
+      "t é",
+      "åįģ åħ«",
+      "Ġz ayıf",
+      "ذ ار",
+      "ذا ر",
+      "Ġا ÙĬراÙĨ",
+      "ĠاÙĬ راÙĨ",
+      "Ġhod nocenÃŃ",
+      "D ST",
+      "DS T",
+      "Ġìĸ ĺ",
+      "æĺ ĩ",
+      "éĻ £",
+      "Ġк ле",
+      "Ġкл е",
+      "Ġu plat",
+      "Ġup lat",
+      "ĠاÙĦتع ÙĦÙĬÙħ",
+      "ÏĢοί ηÏĥη",
+      "ек ÑĤоÑĢа",
+      "екÑĤ оÑĢа",
+      "екÑĤоÑĢ а",
+      "Ġë§IJ ìĿ´",
+      "ĠÙģ رÙĬÙĤ",
+      "ĠÙģر ÙĬÙĤ",
+      "帮 åĬ©",
+      "çĶŁ ãģį",
+      "åĨħ ãģ®",
+      "èģĶ 缣",
+      "г ÑĢад",
+      "гÑĢа д",
+      "Ġch uyến",
+      "ãĤĤ ãĤĬ",
+      "ĠÑĩаÑģÑĤ ина",
+      "ĠÑĩаÑģÑĤи на",
+      "ãģª ãģıãģª",
+      "ãģªãģı ãģª",
+      "ÑĶ в",
+      "ĠÑĦ аÑħ",
+      "k uk",
+      "ku k",
+      "çĶ· æĢ§",
+      "ĠÙħÛĮÙĦ ادÛĮ",
+      "Ġb eden",
+      "Ġbe den",
+      "Ġbed en",
+      "ê°Ģ 를",
+      "म र",
+      "Ġìĸ´ 머ëĭĪ",
+      "èģĶ ç½ij",
+      "Âł mi",
+      "Âłm i",
+      "Ġzah rn",
+      "æ² ĸ",
+      "Ġkhu ẩn",
+      "Ġo práv",
+      "Ġop ráv",
+      "Ġopr áv",
+      "ाह à¤ķ",
+      "ĠÚ©ÙĪت اÙĩ",
+      "Ġо бол",
+      "Ġоб ол",
+      "Ġобо л",
+      "Ġph úc",
+      "r ánÃŃ",
+      "rá nÃŃ",
+      "rán ÃŃ",
+      "à¥įर थ",
+      "æݪ æĸ½",
+      "Ġв олод",
+      "Ġво лод",
+      "Ġвол од",
+      "Ġsp ÃŃÅ¡e",
+      "Ġm Æ¡",
+      "ÑĬ ек",
+      "ng ör",
+      "à¤ī त",
+      "k siyon",
+      "ks iyon",
+      "ksi yon",
+      "а ÑĤе",
+      "аÑĤ е",
+      "Ġجز Ø¡",
+      "áv ka",
+      "ÐĴ С",
+      "laÅŁ ma",
+      "Ġ ç¿",
+      "Ġç ¿",
+      "à¸Ń าà¸Ĭ",
+      "ни ÑĨÑĥ",
+      "ниÑĨ Ñĥ",
+      "Ġ หาà¸ģ",
+      "Ġห าà¸ģ",
+      "ãģĭ ãģĹ",
+      "íı ´",
+      "Ġг аÑĢан",
+      "ĠгаÑĢ ан",
+      "ĠгаÑĢа н",
+      "Ġ Ïĥαν",
+      "ĠÏĥ αν",
+      "Ġдобав иÑĤÑĮ",
+      "ĠÑĢаз ÑĢеÑĪ",
+      "á ¾",
+      "æĺ¯ ä¸ª",
+      "μ ÎŃÏĤ",
+      "μÎŃ ÏĤ",
+      "ĠÄ°mpar ator",
+      "æ¨Ļ æºĸ",
+      "Ñģ ÑĤÑĭ",
+      "ÑģÑĤ Ñĭ",
+      "Ġg ücü",
+      "Ġgü cü",
+      "Ġgüc ü",
+      "Ġ íĥĢìĿ´",
+      "Ġíĥ ĢìĿ´",
+      "ĠíĥĢ ìĿ´",
+      "Ġ åħ¶ä»ĸ",
+      "Ġåħ¶ ä»ĸ",
+      "Ġt ông",
+      "Ġtô ng",
+      "Ġtôn g",
+      "Ġv edenÃŃ",
+      "Ġved enÃŃ",
+      "Ġvede nÃŃ",
+      "ëĵľ ë¡ľ",
+      "Ġm esel",
+      "Ġme sel",
+      "Ġmes el",
+      "Ġ Äįe",
+      "ĠÄį e",
+      "j de",
+      "jd e",
+      "Ïģ εια",
+      "Ïģε ια",
+      "Ïģει α",
+      "ãĤĪ ãģŃ",
+      "Ðł ÐĿ",
+      "è·Ŀ 离",
+      "ĠÙĤ ائÙħØ©",
+      "า à¸ļาล",
+      "าà¸ļ าล",
+      "ĠÑģай ÑĤÑĸ",
+      "Ġर स",
+      "ĠÙĤر ÙĨ",
+      "Ġná vr",
+      "Ġnáv r",
+      "Ú© Ùħ",
+      "çļĦ æīĭ",
+      "Ġsor unu",
+      "Ġsorun u",
+      "Ġsoru nu",
+      "/N ÄIJ",
+      "nut ÃŃm",
+      "nutÃŃ m",
+      "ĠØ® ÙĪرد",
+      "ĠØ®ÙĪ رد",
+      "ĠØ®ÙĪر د",
+      "Ġng á»Ŀ",
+      "Ġ: .|",
+      "Ġ:. |",
+      "Ġbudou c",
+      "i Äįky",
+      "iÄį ky",
+      "Ġد رد",
+      "Ġدر د",
+      "ÑĢо ниÑĩеÑģ",
+      "ÑĢон иÑĩеÑģ",
+      "ç¾ Ĭ",
+      "ĠìķĦ ë²Ħì§Ģ",
+      "ĠKan unu",
+      "ĠKanun u",
+      "ĠпÑĢивод иÑĤ",
+      "άλÏħ ÏĪηÏĤ",
+      "ĠVlad im",
+      "Ġal ıp",
+      "Ġе ÑĤап",
+      "Ġà¤Ĺ लत",
+      "ĠراÙĩ ÙĨÙħ",
+      "Ġpoz isyon",
+      "Ġgö ç",
+      "èµ ŀ",
+      "Ġм ой",
+      "Ġмо й",
+      "ĠÎł ά",
+      "Ġ ìĪł",
+      "ĠìĪ ł",
+      "ĠØ¢ÛĮ ÙĨدÙĩ",
+      "a ná",
+      "an á",
+      "举 çľģ",
+      "ĠÙħت عدد",
+      "Ġ åįĬ",
+      "Ġåį Ĭ",
+      "ãĢĢ ãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢ",
+      "ãĢĢãĢĢĠ ãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "Ġth á»Ŀ",
+      "Ġthá» Ŀ",
+      "Ġвд ÑĢÑĥг",
+      "п аÑĤ",
+      "па ÑĤ",
+      "ĠпÑĢовед ениÑı",
+      "ÙĨ ز",
+      "ĠاÙĦب ØŃØ«",
+      "æģ ¢",
+      "Ġbak tı",
+      "Ġ è·¯",
+      "Ġè· ¯",
+      "Ġзаболева ний",
+      "ĠÐķ вÑĢоп",
+      "ĠÐķв ÑĢоп",
+      "Ġtarih li",
+      "ê¹ ¨",
+      "ĠÚ© ÙĪÙĩ",
+      "ĠÚ©ÙĪ Ùĩ",
+      "Ġìĸ´ 볤",
+      "Ġtit ul",
+      "Ġti tul",
+      "Ġvyd ánÃŃ",
+      "éĺ¶ æ®µ",
+      "à¸Īะ à¸ķ",
+      "Ġм оÑı",
+      "Ġмо Ñı",
+      "ĠкоÑĢ ол",
+      "Ġко ÑĢол",
+      "Ġб анк",
+      "Ġбан к",
+      "วรร à¸ĵ",
+      "วร รà¸ĵ",
+      "ĠÙĥس ارة",
+      "ĠK hoa",
+      "ĠKh oa",
+      "ĠKho a",
+      "ĠÑĥнÑĸвеÑĢÑģиÑĤ еÑĤ",
+      "ãģ«éĸ¢ ãģĻãĤĭ",
+      "r uary",
+      "ru ary",
+      "Ġ à¸Ĥาย",
+      "Ġà¸Ĥ าย",
+      "Ġsv az",
+      "ĠØ´ رÙĤ",
+      "Ġشر ÙĤ",
+      "Ġд ÑĭÑħ",
+      "Ġиз бав",
+      "Ġизб ав",
+      "ĠÑı кÑĸй",
+      "ĠÑıк Ñĸй",
+      "ĠÑıкÑĸ й",
+      "ĠÎľ ον",
+      "Ġg ön",
+      "Ġgö n",
+      "ĠUkr aj",
+      "ĠUk raj",
+      "ĠUkra j",
+      "ัà¸Ļ à¸Ńà¸Ńà¸ģ",
+      "ัà¸Ļà¸Ń à¸Ńà¸ģ",
+      "Ġม à¸ģราà¸Ħม",
+      "и ÑĤов",
+      "иÑĤ ов",
+      "Ġanal ý",
+      "Ġana lý",
+      "ĠоÑĤ меÑĩ",
+      "Ġبر اÙī",
+      "âĪ ı",
+      "ัà¸ģ à¸ģ",
+      "æĭ¥ æľī",
+      "ĠÑĸнÑĪ ого",
+      "Ġкомп анÑĸÑĹ",
+      "Ġk ÅĻes",
+      "ĠÑĢаб оÑĩ",
+      "ĠÑĢабо Ñĩ",
+      "a dÃŃ",
+      "ad ÃŃ",
+      "ìł ł",
+      "à¹Ħ หà¸Ļ",
+      "à¥ģब ह",
+      "âĢĻ deki",
+      "âĢĻd eki",
+      "âĢĻde ki",
+      "çħ ¤",
+      "ĠпаÑĢ Ñĥ",
+      "Ġпа ÑĢÑĥ",
+      "ìĦ Ń",
+      "Ġнеп оÑģÑĢед",
+      "ĠÄ° b",
+      "Ġà¸ŀ ฤศà¸Ī",
+      "íĭ ´",
+      "Ġ ëłĪìĿ´",
+      "ĠëłĪ ìĿ´",
+      "ĠTh á»ķ",
+      "Ñı еÑĤ",
+      "ائ ج",
+      "» çĴĥ",
+      "ÐĴ Ðŀ",
+      "åĸ Ĭ",
+      "Ġ 第ä¸ī",
+      "Ġ第 ä¸ī",
+      "Ġвок ÑĢÑĥг",
+      "Ñĩ енÑĮ",
+      "Ñĩе нÑĮ",
+      "Ñĩен ÑĮ",
+      "Ġolan ak",
+      "Ġola nak",
+      "t ura",
+      "tu ra",
+      "tur a",
+      "Ġ ÙħÙĬÙĦ",
+      "ĠÙħ ÙĬÙĦ",
+      "ĠÙħÙĬ ÙĦ",
+      "ey di",
+      "ĠÙħد ÙĬر",
+      "Ġnel ze",
+      "ัว à¸Ńย",
+      "ìħ ľ",
+      "Ġhlav u",
+      "Ġkor uy",
+      "ÑĨ ин",
+      "ÑĨи н",
+      "ĠдиÑģ ÑĨип",
+      "ĠÙħ اÙĨد",
+      "ĠÙħا ÙĨد",
+      "ĠÙħاÙĨ د",
+      "Ġпод ÑĢоб",
+      "Т Ðŀ",
+      "ÙĤر ار",
+      "à¹ģà¸Ļะ à¸Ļำ",
+      "문 ìĿĦ",
+      "æĮ¯ ãĤĬ",
+      "P ÅĻi",
+      "PÅĻ i",
+      "Ġy ên",
+      "श à¤ķ",
+      "Âł je",
+      "ĠÐļон ÑģÑĤиÑĤÑĥ",
+      "à¥ģ ह",
+      "à¥ģठ¹",
+      "ĠÙ¾ ا",
+      "ìĨĮ 를",
+      "Ġд ела",
+      "Ġдел а",
+      "Ġде ла",
+      "к ид",
+      "ки д",
+      "à¹Ĥ à¸Ĭ",
+      "커 ìĬ¤",
+      "dÄĽ len",
+      "dÄĽl en",
+      "à¤Ķ र",
+      "äºİ æĺ¯",
+      "ĠÙĩÙħ ÛĮØ´Ùĩ",
+      "ĠbaÅŁ lam",
+      "Ġ ìĽ¨",
+      "ĠìĽ ¨",
+      "Ġden eyim",
+      "Ġdeney im",
+      "Ġü ye",
+      "Ġüy e",
+      "Ġ νÏĮ",
+      "Ġν ÏĮ",
+      "Ġà¤ĸ ड",
+      "n ÄĽl",
+      "nÄĽ l",
+      "ĠÑģÑĦ еÑĢÑĸ",
+      "ĠÑģÑĦеÑĢ Ñĸ",
+      "à¸Ńà¸Ķ à¸ł",
+      "ä¸Ģ å¹´",
+      "Ġvur gu",
+      "Äŀ Ä°",
+      "âĢĻ Ċ",
+      "ĠÑĸн ÑĪими",
+      "ĠÑĸнÑĪ ими",
+      "Ġз менÑĪ",
+      "Ġठĭ",
+      "Ġв ека",
+      "Ġве ка",
+      "ĠØŃÚ©ÙĪÙħ ت",
+      "ĠتÙħ اÙħÛĮ",
+      "ĠتÙħاÙħ ÛĮ",
+      "Ġs mrt",
+      "Ġsm rt",
+      "Ġsmr t",
+      "Ġh ủy",
+      "Ġyap ılmÄ±ÅŁ",
+      "Ġyapıl mÄ±ÅŁ",
+      "à¹ī à¸ľ",
+      "ĠY en",
+      "ĠYe n",
+      "Ġ Ñĥл",
+      "ĠÑĥ л",
+      "ĠS vÄĽt",
+      "ĠSv ÄĽt",
+      "ั à¸Ħ",
+      "ĠmÄĽsÃŃ ců",
+      "д енÑĤи",
+      "ден ÑĤи",
+      "Ġ ï¾ĺ",
+      "Ġï¾ ĺ",
+      "Ġпол иÑĤи",
+      "Ġполи ÑĤи",
+      "ĠполиÑĤ и",
+      "s kyt",
+      "sk yt",
+      "sky t",
+      "ä¹Ł æľī",
+      "Ġê°Ļ ìĬµëĭĪëĭ¤",
+      "Ġê·¸ëŀĺ ìĦľ",
+      "ÏĦε Ïģη",
+      "ÏĦεÏģ η",
+      "Ñĩ еÑĢ",
+      "Ñĩе ÑĢ",
+      "ĠÃľNÄ°VERS Ä°TESÄ°",
+      "ส à¸ł",
+      "Ġ สร",
+      "Ġส ร",
+      "ान द",
+      "ĠaÅŁ ırı",
+      "λ ίοÏħ",
+      "λί οÏħ",
+      "Ġ ÙĦÙģ",
+      "ĠÙĦ Ùģ",
+      "ÃŃ nu",
+      "ÃŃn u",
+      "à¸Ń าร",
+      "ÑĤ ÑĥÑĢа",
+      "ÑĤÑĥ ÑĢа",
+      "ÑĤÑĥÑĢ а",
+      "ĠÄįesk ých",
+      "ĠÄįe ských",
+      "ĠÄįeský ch",
+      "Ġph ức",
+      "以 为",
+      "ÏģÏī ÏĢα",
+      "ĠاÙĨر ÚĺÛĮ",
+      "» )",
+      "a lardan",
+      "alar dan",
+      "alarda n",
+      "ĠÑģÑĤ воÑĢÑİ",
+      "ĠÑģÑĤвоÑĢ Ñİ",
+      "Ġt ráv",
+      "Ġtr áv",
+      "ॠ¬",
+      "ãģĬ ãĤĪãģ³",
+      "ïľ ĭ",
+      "ad il",
+      "adi l",
+      "ĠΤ ι",
+      "Ġ ëIJ©ëĭĪëĭ¤",
+      "ĠëIJ ©ëĭĪëĭ¤",
+      "Ġε μÏĨ",
+      "Ġ구 ì¡°",
+      "ìĹŃ ìĭľ",
+      "ĠاÙĦ جاÙħ",
+      "ĠاÙĦج اÙħ",
+      "主 é¢ĺ",
+      "ãĤ¹ ãĥĿ",
+      "Ġ ìĹŃìĭľ",
+      "ĠìĹŃ ìĭľ",
+      "ĠÚ©Ùħ تر",
+      "ĠSp oleÄį",
+      "ол оÑĪ",
+      "оло ÑĪ",
+      "ĠSur iye",
+      "Ч еÑĢ",
+      "æĪĺ æĸĹ",
+      "Ġz ávis",
+      "Ġzá vis",
+      "Ġzáv is",
+      "æĽ¸ 館",
+      "Ġmus el",
+      "Ġmu sel",
+      "Ġmuse l",
+      "Ġ çĿ",
+      "Ġç Ŀ",
+      "Ùħ Ùħ",
+      "ĠاÙĦØ® ارج",
+      "Ġ ÐĵÐŀ",
+      "ĠÐĵ Ðŀ",
+      "ĠваÑĢ ÑĤо",
+      "ĠваÑĢÑĤ о",
+      "Ïģα β",
+      "Ġपह à¤ļ",
+      "ub lice",
+      "ublic e",
+      "ubl ice",
+      "ÑĨион ного",
+      "è Į¨",
+      "èĮ ¨",
+      "ĠدÙģ تر",
+      "Ġ Ùģس",
+      "ĠÙģ س",
+      "Ġन à¤ľà¤°",
+      "t arı",
+      "ta rı",
+      "tar ı",
+      "Ġоб ÑĢоб",
+      "ĠÐł а",
+      "ĠاÙĦ صÙĨ",
+      "ĠاÙĦص ÙĨ",
+      "Ø´ Ø©",
+      "ĠìĹĨ ìĹĪ",
+      "ož ná",
+      "æľĢ çµĤ",
+      "Ù ¥",
+      "r ech",
+      "re ch",
+      "rec h",
+      "ĠاÙĦØ£ سر",
+      "ĠاÙĦأس ر",
+      "Ġм ови",
+      "Ġмо ви",
+      "Ġмов и",
+      "Ġì¡° êµIJ",
+      "Ñĸ меÑĩ",
+      "Ñĸм еÑĩ",
+      "ãĥ¯ ãĥ¼",
+      "б ÑĥÑĢг",
+      "бÑĥ ÑĢг",
+      "Ġس ÙĦس",
+      "ĠسÙĦ س",
+      "åѦ ä¼ļ",
+      "Ġ ë¦",
+      "Ġë ¦",
+      "åħĭ æĸ¯",
+      "æĸĩ çĮ®",
+      "Ġx Æ°Æ¡ng",
+      "Ġyo lc",
+      "Ġyol c",
+      "Ġ ìĤ¬ë¬´",
+      "ĠìĤ¬ 무",
+      "ãĤı ãģļ",
+      "ĠÑĢаÑģÑĤ ений",
+      "ĠÙģ ضاÛĮ",
+      "ĠÙģض اÛĮ",
+      "Ġna opak",
+      "Ġnao pak",
+      "ĠпÑĢи вÑĭ",
+      "ĠпÑĢив Ñĭ",
+      "Ġد ÛĮدÙĩ",
+      "ĠدÛĮ دÙĩ",
+      "ĠدÛĮد Ùĩ",
+      "à¸ģาร à¹ĥà¸Ĭ",
+      "Ġ åŀ",
+      "Ġå ŀ",
+      "çij Ł",
+      "以 åIJİ",
+      "ĠpÅĻib liž",
+      "ĠdÃ¼ÅŁ man",
+      "Ġt emin",
+      "Ġte min",
+      "Ġtem in",
+      "ĠÑĥÑģл Ñĥг",
+      "ĠÑĥÑģ лÑĥг",
+      "Ġद ब",
+      "ĠìĥĪ ê¸Ģ",
+      "ĠÑĥÑģÑĤÑĢой ÑģÑĤва",
+      "ĠТ ÑĥÑĤ",
+      "ÏĦ ίοÏħ",
+      "ÏĦί οÏħ",
+      "ĠÄ°s lâm",
+      "Ù ¤",
+      "åıĤ ä¸İ",
+      "Ġк ÑĥÑģÑĤ",
+      "ĠкÑĥ ÑģÑĤ",
+      "ĠкÑĥÑģ ÑĤ",
+      "éĻIJ åĪ¶",
+      "ت ÙĬÙĨ",
+      "تÙĬ ÙĨ",
+      "ĠоÑģÑĤ аннÑĸ",
+      "ĠоÑģÑĤан нÑĸ",
+      "ic ations",
+      "ication s",
+      "ا Ú©ÛĮ",
+      "اک ÛĮ",
+      "но ÑģÑı",
+      "ноÑģ Ñı",
+      "ÄŁ an",
+      "ÄŁa n",
+      "ãģı ãĤĮãĤĭ",
+      "ãģıãĤĮ ãĤĭ",
+      "Ġyap ıyor",
+      "Ġyapı yor",
+      "Ġê°ķ ëĤ¨",
+      "Ùħ ÙĬÙħ",
+      "ÙħÙĬ Ùħ",
+      "æ ŃIJ",
+      "æŃ IJ",
+      "Ġر ع",
+      "Ġb oÄŁ",
+      "Ġbo ÄŁ",
+      "ĠиÑģ Ñħод",
+      "èª ł",
+      "æł· åŃIJ",
+      "Ġbu deme",
+      "Ġbud eme",
+      "Ġbude me",
+      "ĠÑģ еÑĤ",
+      "ι ÏĥμοÏį",
+      "ιÏĥμ οÏį",
+      "Ġ å¾ĴæŃ©",
+      "Ġå¾Ĵ æŃ©",
+      "u álnÃŃ",
+      "ĠاÙĦع ÙĤ",
+      "Ġسب Ú©",
+      "ĠاÙĦØ£ خرÙī",
+      "ĠاÙĦأخ رÙī",
+      "E FA",
+      "EF A",
+      "åĽº å®ļ",
+      "Ġ ãĤ¬",
+      "ĠãĤ ¬",
+      "ĠìŀIJ ìĹ°",
+      "ยว à¸Ĥ",
+      "ب س",
+      "un ma",
+      "Ġза ним",
+      "Ġзан им",
+      "à¹ĥà¸Ļ ร",
+      "èĢĥ èĻij",
+      "æ·· åIJĪ",
+      "å° ĭ",
+      "Ġçık Ä±ÅŁ",
+      "Ġm aliyet",
+      "Ġmal iyet",
+      "éľ Ĭ",
+      "ãģŁãĤģ ãģ®",
+      "ĠÙ¾ Ø´",
+      "Ġз лоÑĩ",
+      "Ġvý Å¡i",
+      "Ġsch vál",
+      "ĠÙĨÙħ ÙĪدÙĩ",
+      "ĠÙĨÙħÙĪد Ùĩ",
+      "Î Ĩ",
+      "Ġz ách",
+      "Ġzá ch",
+      "Ġ Ïĥκ",
+      "ĠÏĥ κ",
+      "ãĤ¹ ãĥŀ",
+      "ĠÙħس ائÙĦ",
+      "ĠاÙĦاج تÙħاع",
+      "åľ° çĤ¹",
+      "ا ÛĮاÙĨ",
+      "اÛĮ اÙĨ",
+      "ĠÐŀ к",
+      "ê¸ Ķ",
+      "e lease",
+      "el ease",
+      "ele ase",
+      "Ġطب ÙĤÙĩ",
+      "ĠطبÙĤ Ùĩ",
+      "éij ij",
+      "Ġì½Ķ ë¡ľëĤĺ",
+      "é¼ ł",
+      "大 åħ¨",
+      "ĠпÑĢи веÑģÑĤи",
+      "ĠпÑĢив еÑģÑĤи",
+      "Ġاب تد",
+      "Ġابت د",
+      "리 ë¡ľ",
+      "ĠÑģÑĤÑĢ анÑĭ",
+      "ĠÑģÑĤÑĢа нÑĭ",
+      "ĠÑģÑĤÑĢан Ñĭ",
+      "ĠzatÃŃm co",
+      "Ġh uyết",
+      "Ġhuy ết",
+      "سÛĮ ÙĪÙĨ",
+      "Ġsor du",
+      "âĢĮ رس",
+      "ĠÑĦ ÑĢон",
+      "Ġed ip",
+      "Ġedi p",
+      "ÙĨ Ú¯ÛĮ",
+      "ÙĨÚ¯ ÛĮ",
+      "Ġк иÑĢ",
+      "Ġки ÑĢ",
+      "Ġ íķ´ìķ¼",
+      "Ġíķ´ ìķ¼",
+      "ì» ´",
+      "ÑĨик лоп",
+      "ĠпÑĢимен ениÑı",
+      "Ġоб л",
+      "éļ ª",
+      "Ġk romÄĽ",
+      "Ġkro mÄĽ",
+      "æł¸ å¿ĥ",
+      "ra him",
+      "rah im",
+      "о ÑĢд",
+      "оÑĢ д",
+      "Ġl Ãłnh",
+      "ĠlÃł nh",
+      "ĠlÃłn h",
+      "Ġо ÑģÑĤÑĢов",
+      "ĠоÑģÑĤ ÑĢов",
+      "; |",
+      "b uz",
+      "bu z",
+      "Ġ ÏĦÏģο",
+      "ĠÏĦ Ïģο",
+      "ĠÐĴ аÑĢ",
+      "æī İ",
+      "ı lÄ±ÅŁ",
+      "ılı ÅŁ",
+      "ıl Ä±ÅŁ",
+      "éĿ¢ ç©į",
+      "身 份",
+      "é¢Ĩ åŁŁ",
+      "ĠاÙĦÙĤر ÙĨ",
+      "Ġ пÑĢиклад",
+      "ĠпÑĢи клад",
+      "ĠпÑĢик лад",
+      "ãĥģ ãĥ¼ãĥł",
+      "Ġสà¸ŀ à¸Ľ",
+      "Ġо ÑĩиÑģÑĤ",
+      "ĠоÑĩ иÑģÑĤ",
+      "ĠоÑĩи ÑģÑĤ",
+      "Ġмил ли",
+      "а ÑĨÑĸÑĹ",
+      "ี à¹Ģà¸Ń",
+      "Ġt anın",
+      "Ġtan ın",
+      "Ġtanı n",
+      "çĪ¶ 亲",
+      "Ġmsg str",
+      "Ġmsgs tr",
+      "ĠØ´ ÛĮÙħÛĮ",
+      "ĠØ´ÛĮ ÙħÛĮ",
+      "ĠÙģر اÙĩÙħ",
+      "Ġ 맥",
+      "Ġë§ ¥",
+      "ãĢĤ å½ĵ",
+      "Ġкон ÑĨенÑĤÑĢа",
+      "êµIJ íļĮ",
+      "ãĤī ãĤĮãģ¦",
+      "ãĤīãĤĮ ãģ¦",
+      "Ġya sak",
+      "Ġyas ak",
+      "ĠÐij ол",
+      "Ġ æ¾³",
+      "Ġæ¾ ³",
+      "çĩ ķ",
+      "Ġ جا",
+      "Ġج ا",
+      "ëij ĺ",
+      "Ġدر Ø®ÙĪاست",
+      "ĠmÃŃst nÃŃ",
+      "ÂĤ ÃĮ",
+      "Ġbas kı",
+      "Ġu çak",
+      "Ġuç ak",
+      "ä» ĵ",
+      "Ġìľł ì§Ģ",
+      "Ġп оба",
+      "Ġпо ба",
+      "Ġпоб а",
+      "Ġz eptal",
+      "Ġze ptal",
+      "ç»Ļ æĪij",
+      "ĠAt atürk",
+      "ĠÙħÙĨ اس",
+      "Ñ Ĵ",
+      "Ġar acı",
+      "Ġarac ı",
+      "Ġara cı",
+      "лÑİ ÑĶ",
+      "Ġnit elik",
+      "Ġnitel ik",
+      "ĠM ezi",
+      "ĠMe zi",
+      "ĠMez i",
+      "ĠÎŃ Î½Î±ÏĤ",
+      "ĠÎŃνα ÏĤ",
+      "ĠÎŃν αÏĤ",
+      "Ïİν ÏĦαÏĤ",
+      "v až",
+      "va ž",
+      "Ġk uzey",
+      "Ġ ÏİÏģα",
+      "ĠÏİ Ïģα",
+      "ĠÑĢоз пов",
+      "ĠÑĢозп ов",
+      "à¹Ī าà¸ģ",
+      "à¹Īา à¸ģ",
+      "ãĢģ ä¸ī",
+      "ĠÑģÑĤ аÑĢи",
+      "ĠÑģÑĤаÑĢ и",
+      "ĠÑģÑĤа ÑĢи",
+      "Ġhak kı",
+      "Ġhakk ı",
+      "ĠØ¢Ùħ ادÙĩ",
+      "íĮ Ķ",
+      "о мÑĸ",
+      "ом Ñĸ",
+      "Ġ âĢł",
+      "ĠâĢ ł",
+      "ãģĭ ãĤı",
+      "ãĢĮ ä½ł",
+      "æ³ķ åĽ½",
+      "ÙIJ ÙĬÙĨ",
+      "ÙIJÙĬ ÙĨ",
+      "æī ķ",
+      "н или",
+      "ни ли",
+      "нил и",
+      "ĠÑĥÑģÑĤанов ки",
+      "Ġl ông",
+      "Ġlô ng",
+      "त म",
+      "ÙĪ ÙĨÙĬØ©",
+      "ÙĪÙĨ ÙĬØ©",
+      "ÙĪÙĨÙĬ Ø©",
+      "ÙĬ تÙĬ",
+      "ÙĬت ÙĬ",
+      "Ġê²Įìĭľ 물",
+      "Ġve Å¡ker",
+      "ÎŃ Ïģγ",
+      "ÎŃÏģ γ",
+      "ĠÑĥ Ñģе",
+      "ĠÑĥÑģ е",
+      "Ġk ıl",
+      "Ġkı l",
+      "Ġil gi",
+      "Ġilg i",
+      "μ Ïīν",
+      "Ġз вÑĸлÑĮ",
+      "Ġзв ÑĸлÑĮ",
+      "Ġön lem",
+      "à¸ģà¸İ หมาย",
+      "ĠH iá»ĩp",
+      "Ġг оÑĢм",
+      "ĠгоÑĢ м",
+      "лÑı ÑİÑĤÑĮÑģÑı",
+      "лÑıÑİÑĤÑĮ ÑģÑı",
+      "la maya",
+      "lam aya",
+      "lama ya",
+      "ĠÑģпоÑģоб ом",
+      "ãģ¸ ãģ¨",
+      "ç¦ģ æŃ¢",
+      "ĠÑĢаÑħ Ñĥнок",
+      "ĠоÑĤвеÑĢ ÑģÑĤи",
+      ".: .:.:.",
+      ".:.: .:.",
+      ".:.:.: .",
+      ".:.:. :.",
+      "Ġmü da",
+      "о наÑħ",
+      "он аÑħ",
+      "она Ñħ",
+      "Ì£ c",
+      "Ġyap acak",
+      "Ġн азвание",
+      "Ġназ вание",
+      "Ġназва ние",
+      "对 æĸ¹",
+      "ëĮĢ íijľ",
+      "çĪ Ń",
+      "в ана",
+      "ва на",
+      "ван а",
+      "ह न",
+      "ĠпÑĢоблем а",
+      "Ġжен ÑīинÑĭ",
+      "ĠженÑīин Ñĭ",
+      "èŀ º",
+      "Ġhosp odáÅĻ",
+      "ĠСÑĤ еп",
+      "ĠodpovÄĽ d",
+      "ĠS á»Ń",
+      "e view",
+      "ev iew",
+      "evi ew",
+      "åĩł ä¹İ",
+      "çŁ ¢",
+      "æĿ¥ ãģŁ",
+      "Ġп олоÑģ",
+      "Ġпол оÑģ",
+      "ĠÑģ ел",
+      "å± Ĩ",
+      "ĠпеÑĢв ой",
+      "ĠпÑĢоÑĨеÑģ Ñģа",
+      "ĠпÑĢоÑĨеÑģÑģ а",
+      "ãĢĢ ãĤĿ",
+      "ت اÙħبر",
+      "تا Ùħبر",
+      "и лаÑģÑı",
+      "ила ÑģÑı",
+      "ï¼Į æĹł",
+      "ĠвлаÑģ ноÑģÑĤÑĸ",
+      "íķĺ ìŀIJ",
+      "аÑĤ ки",
+      "ĠB Ãł",
+      "ĠK arel",
+      "ĠKar el",
+      "ĠKa rel",
+      "ĠKare l",
+      "è· µ",
+      "ر ÛĮÙĩ",
+      "رÛĮ Ùĩ",
+      "ĠëĤĺ 를",
+      "ĠобеÑģпеÑĩ ива",
+      "ĠобеÑģпе Ñĩива",
+      "à¥įर पत",
+      "ãģĹ ãĤĩ",
+      "åį Ĵ",
+      "Ġ 奥",
+      "Ġå¥ ¥",
+      "ĠпÑĢ оÑĤе",
+      "ĠпÑĢо ÑĤе",
+      "ĠпÑĢоÑĤ е",
+      "Ġ æĭĽ",
+      "Ġæĭ Ľ",
+      "ĠСÑĤ ÑĢана",
+      "ĠÑĢабоÑĤ аÑĤÑĮ",
+      "ĠÑĢабоÑĤа ÑĤÑĮ",
+      "Ġتش Ø®ÛĮص",
+      "ек ÑģÑĥ",
+      "екÑģ Ñĥ",
+      "Ġ 리그",
+      "Ġ리 ê·¸",
+      "Ġص اÙĦØŃ",
+      "ĠbaÅŁ lamÄ±ÅŁ",
+      "ĠbaÅŁlam Ä±ÅŁ",
+      "ĠÙ¾ÛĮ اÙħبر",
+      "ĠÙ¾ÛĮاÙħ بر",
+      "ز ا",
+      "Ġм аÑģÑģ",
+      "ĠмаÑģ Ñģ",
+      "ĠÎł αÏģ",
+      "Ġγα Ïģ",
+      "ëĿ¼ íĶ¼",
+      "Ġy arı",
+      "Ġya rı",
+      "Ġyar ı",
+      "ĠÑĤип Ñĥ",
+      "Ðŀ п",
+      "ãģij ãģªãģĦ",
+      "e mem",
+      "em em",
+      "eme m",
+      "ĠnÄĽ mu",
+      "ĠnÄĽm u",
+      "ĠÙĨ شر",
+      "ĠÙĨØ´ ر",
+      "ĠÎijθή να",
+      "Ùģ راÙĨ",
+      "Ùģر اÙĨ",
+      "Ġ 網",
+      "Ġç¶ ²",
+      "ĠпÑĢом иÑģлов",
+      "ĠBu gün",
+      "ĠBug ün",
+      "ìŀ Ķ",
+      "ĠжÑĸн ок",
+      "Ġ à¸Ľà¸£à¸°à¹Ģà¸łà¸Ĺ",
+      "Ġà¸Ľà¸£à¸° à¹Ģà¸łà¸Ĺ",
+      "ĠвикоÑĢиÑģÑĤов ÑĥваÑĤи",
+      "ĠТ им",
+      "ĠТи м",
+      ") 를",
+      "еж аÑĤÑĮ",
+      "Ġs ona",
+      "Ġso na",
+      "Ġson a",
+      "Ø´ÙĨ بÙĩ",
+      "Ġnich ž",
+      "åī Ľ",
+      "ĠÙģ تØŃ",
+      "ĠÙģت ØŃ",
+      "ĠÙħÙĤ دÙħ",
+      "ĠÙħÙĤد Ùħ",
+      "ĠGüven lik",
+      "e um",
+      "eu m",
+      "ç»ı è¿ĩ",
+      "è·Ŀ éĽ¢",
+      "Âł не",
+      "Ġا صÙĪÙĦ",
+      "Ġاص ÙĪÙĦ",
+      "ĠzaÄį átku",
+      "ิà¹Ģว à¸ĵ",
+      "Ġà¤ķ à¤Ł",
+      "Ġk riz",
+      "Ġkr iz",
+      "Ġp án",
+      "Ġpá n",
+      "ĠбоÑĢ ÑĮ",
+      "Ġбо ÑĢÑĮ",
+      "ظ ÙħØ©",
+      "ظÙħ Ø©",
+      "Ġê²½ ë¶ģ",
+      "ĠاÙĦÙĬ ÙħÙĨ",
+      "ĠاÙĦعرب ÙĬ",
+      "Ġh lub",
+      "Ġhl ub",
+      "Ġch á»Ŀ",
+      "è¥ ²",
+      "ëĵľ 리",
+      "ãĥĸ ãĥª",
+      "ĠÑģÑĤол ÑĸÑĤÑĤÑı",
+      "ر بÙĬØ©",
+      "رب ÙĬØ©",
+      "Ġ æ°¸",
+      "Ġæ° ¸",
+      "Ġê±° ìĿĺ",
+      "Ġβ αÏĥ",
+      "Ġβα Ïĥ",
+      "Ġa rz",
+      "Ġar z",
+      "ãĥ¢ ãĥ³",
+      "ĠÑĢÑĸв енÑĮ",
+      "ä¸į çŁ¥",
+      "导 èĩ´",
+      "ا ÙĬØ´",
+      "اÙĬ Ø´",
+      "ĠпÑĢев ÑĭÑĪ",
+      "Ġп н",
+      "ĠÎĴ ÏģοÏĩή",
+      "Ġ 身",
+      "Ġè º«",
+      "ĠÄIJ ầu",
+      "ĠÏĮ μÏīÏĤ",
+      "j ÃŃž",
+      "jÃŃ Å¾",
+      "Ġλ ίγ",
+      "ĠÑĪк оли",
+      "ĠÑĪкол и",
+      "ãģ£ãģ± ãģĦ",
+      "z dy",
+      "zd y",
+      "Ġê³ §",
+      "t eÅŁ",
+      "te ÅŁ",
+      "ÑĢ еÑī",
+      "ÑĢе Ñī",
+      "κ ει",
+      "κε ι",
+      "sah uje",
+      "Ġà¤īस स",
+      "ĠTan rı",
+      "ä¸į 好",
+      "éĥ Ń",
+      "ĠвÑĭ глÑıд",
+      "Ġç oÄŁ",
+      "Ġин ÑģÑĤÑĢÑĥменÑĤ",
+      "r ej",
+      "re j",
+      "èĪ Į",
+      "ãģĭ ãĤīãģªãģĦ",
+      "ãģĭãĤī ãģªãģĦ",
+      "ĠнепÑĢи ÑıÑĤ",
+      "Ġк ÑĢоме",
+      "ζ η",
+      "Ġл ог",
+      "ा वर",
+      "ाव र",
+      "ëħķ íķĺìĦ¸ìļĶ",
+      "ाह रण",
+      "ाहर ण",
+      "Ġgüven ilir",
+      "T ại",
+      "ĠØ´Ùĩر د",
+      "ĠØ´Ùĩ رد",
+      "ĠΤ ε",
+      "о ÑĢаз",
+      "оÑĢ аз",
+      "оÑĢа з",
+      "Ġl Ãłng",
+      "ĠlÃł ng",
+      "ĠlÃłn g",
+      "ï¼ ©",
+      "æĬķ 注",
+      "Ġsiyas et",
+      "ÐĽ Ñİ",
+      "Ġt ÅĻet",
+      "ĠtÅĻ et",
+      "ĠÏĢÏģÏİ ÏĦη",
+      "ĠÑĥлÑĭ б",
+      "ĠL âm",
+      "ÑĥлÑĮÑĤ а",
+      "ÑĥлÑĮ ÑĤа",
+      "åŁº åľ°",
+      "Ġskup ina",
+      "æ°¸ ä¹ħ",
+      "лÑĥ гов",
+      "лÑĥг ов",
+      "Ġ ÑĨÑĸй",
+      "ĠÑĨ Ñĸй",
+      "ĠÑĨÑĸ й",
+      "ĠP oh",
+      "ĠPo h",
+      "i д",
+      "ĠTr uy",
+      "ĠTru y",
+      "çļĦ ä¸Ģ个",
+      "çļĦä¸Ģ 个",
+      "ë²Ħ ìłĦ",
+      "Ġx ứ",
+      "à¸ĩ à¹ģรà¸ģ",
+      "à¸Ħ à¸Ńม",
+      "Ġelektron ik",
+      "ĠaÄŁ aç",
+      "Ġà¤ľ य",
+      "ĠповеÑĢÑħ ноÑģÑĤÑĮ",
+      "ĠاÙĩÙħ ÛĮت",
+      "ли виÑħ",
+      "лив иÑħ",
+      "ĠolduÄŁ undan",
+      "ï¼ī :",
+      "ÑĨи ÑıÑħ",
+      "ÑĨиÑı Ñħ",
+      "製 ä½ľ",
+      "à¸Ĺ รà¸ĩ",
+      "à¸Ĺร à¸ĩ",
+      "ey im",
+      "eyi m",
+      "Ġná klad",
+      "c ilik",
+      "ci lik",
+      "cil ik",
+      "ĠÐĵ лав",
+      "ĠUy gu",
+      "ĠÑĢег ÑĥлÑİ",
+      "à¤Ĥ à¤ľà¤¨",
+      "à¤Ĥà¤ľ न",
+      "Ġkayn aģı",
+      "à¹ī าà¸Ń",
+      "à¹īา à¸Ń",
+      "Ġgör mek",
+      "ĠíĮ ¬",
+      "Ġ å®Į",
+      "Ġå® Į",
+      "Ø« ÙħاÙĨ",
+      "ĠÑĤак аÑı",
+      "ĠÑĤа каÑı",
+      "ĠÑĤака Ñı",
+      "Ġне из",
+      "Ġzpráv y",
+      "ĠاÙĦØ´ خص",
+      "Ġìĺ¤ íĽĦ",
+      "ĠاÙĦ طب",
+      "ĠاÙĦØ· ب",
+      "atır ım",
+      "ر ÙĬر",
+      "رÙĬ ر",
+      "ĠÙħع ÙħارÛĮ",
+      "Ãľ RK",
+      "ÃľR K",
+      "ĠÒ IJ",
+      "ĠìĦ ¬",
+      "æīĭ ãģ«",
+      "Ġë³Ģ íĻĶ",
+      "u lace",
+      "ul ace",
+      "ula ce",
+      "Ġs ợ",
+      "ÑĢ иÑĩ",
+      "ÑĢи Ñĩ",
+      "มห าว",
+      "Ġk â",
+      "ĠÑģп ÑĢоб",
+      "Ùĩ رÙĩ",
+      "Ùĩر Ùĩ",
+      "ाध न",
+      "ĠÏĢ αι",
+      "ĠÏĢα ι",
+      "ب عد",
+      "بع د",
+      "ĠاÙĦ تÙĪ",
+      "ĠاÙĦت ÙĪ",
+      "ç»ı çIJĨ",
+      "p ůsob",
+      "æ¬ ł",
+      "ĠзаÑħвоÑĢÑİ Ð²Ð°Ð½Ð½Ñı",
+      "Ø® Ø©",
+      "ÚĨ ار",
+      "Ġboz uk",
+      "] âĢı",
+      "ĠSoc orro",
+      "Ġ hrad",
+      "Ġh rad",
+      "Ġhr ad",
+      "Ġhra d",
+      "над леж",
+      "ĠÑĥÑĩаÑģÑĤ ие",
+      "ĠÑĥÑĩаÑģ ÑĤие",
+      "ĠÑĥÑĩаÑģÑĤи е",
+      "å¤ī ãĤı",
+      "Ġy ans",
+      "Ġya ns",
+      "Ġyan s",
+      "ĠØ¥ ÙĦ",
+      "خ بر",
+      "خب ر",
+      "ÑĨиклоп ед",
+      "ι Ïİν",
+      "ιÏİ Î½",
+      "Ïĥ ÏĦÏģο",
+      "ÏĥÏĦ Ïģο",
+      "Ġb anka",
+      "Ġbank a",
+      "Ġban ka",
+      "ĠsoÄŁ uk",
+      "Ġün lü",
+      "é¢ ľ",
+      "Ġر Ùģع",
+      "ĠرÙģ ع",
+      "çIJ ³",
+      "ĠÑģоÑģÑĤоÑı нии",
+      "ν ονÏĦαÏĤ",
+      "νον ÏĦαÏĤ",
+      "Ġа кÑĤи",
+      "Ġак ÑĤи",
+      "ĠакÑĤ и",
+      "ĠÏĢολ Ïħ",
+      "ĠÏĢο λÏħ",
+      "Ġм оÑĹ",
+      "Ġмо ÑĹ",
+      "Ġ æł¼",
+      "Ġæł ¼",
+      "ç² Ĺ",
+      "ĠÑģлÑĥÑĩ ай",
+      "ĠÑģлÑĥ Ñĩай",
+      "ĠÑģлÑĥÑĩа й",
+      "ìĿ¼ ìĹIJ",
+      "ĠÑĤÑĢеб ÑĥеÑĤ",
+      "Ġ åıĤèĢĥ",
+      "ĠåıĤ èĢĥ",
+      "an gl",
+      "ang l",
+      "am ik",
+      "ami k",
+      "Ġ Ä°Åŀ",
+      "ĠÄ° Åŀ",
+      "æ¹ ¯",
+      "ĠÄij áo",
+      "ĠÄijá o",
+      "ละ à¸Ħร",
+      "Ñģ о",
+      "Âł ob",
+      "Ġk lim",
+      "Ġkl im",
+      "Ġkli m",
+      "èĥ Ĩ",
+      "ìĥĿ íĻľ",
+      "ãĥij ãĥ³",
+      "- ब",
+      "Ġк ад",
+      "Ġка д",
+      "à¹Ī สามารà¸ĸ",
+      "ĠÙħس ÙĦÙħاÙĨ",
+      "ç¿ °",
+      "ĠB ütün",
+      "ĠK raj",
+      "ĠKr aj",
+      "ĠKra j",
+      "ĠпеÑĢ Ñģп",
+      "ĠпеÑĢÑģ п",
+      "Ġener j",
+      "ãģķ ãģĽãĤĭ",
+      "ãģķãģĽ ãĤĭ",
+      "è¾¾ åĪ°",
+      "ा à¤Ĭ",
+      "ाठĬ",
+      "ĠگرÙģ تÙĨ",
+      "ĠگرÙģت ÙĨ",
+      "ÑĪ кÑĥ",
+      "ĠÐŁ ло",
+      "ÃŃ ny",
+      "ÃŃn y",
+      "ĠH ra",
+      "ĠÚĨ ÙĨاÙĨ",
+      "Ġ à¹Ħà¸Ĺย",
+      "Ġà¹Ħ à¸Ĺย",
+      "vise jÃŃcÃŃ",
+      "Û³ Û³",
+      "ĠÐľÑĸнÑĸÑģÑĤ еÑĢ",
+      "à¹Ĥ à¸Ń",
+      "ĠدÙĩ ÛĮد",
+      "æ¯Ķ ä¾ĭ",
+      "Ïĥι εÏį",
+      "Ç IJ",
+      "ãĢģ ãģª",
+      "Ġत स",
+      "ĠÄ° t",
+      "ĠìłĦ ìŁģ",
+      "à¹Ģ à¸Īร",
+      "à¹Ģà¸Ī ร",
+      "Ġelek tr",
+      "Ġelekt r",
+      "Ġd Æ°",
+      "â ĶĶ",
+      "âĶ Ķ",
+      "Ġ ìĥ¤",
+      "Ġìĥ ¤",
+      "ä» ®",
+      "à¸ģาร à¹Ģล",
+      "Ġм ÑĥлÑĮ",
+      "ĠмÑĥ лÑĮ",
+      "Ġ 度",
+      "Ġåº ¦",
+      "ĠH uyá»ĩn",
+      "в ен",
+      "ве н",
+      "Ġl Æ°á»Ľi",
+      "Ġprovoz u",
+      "Ñĥ ÑĢÑĥ",
+      "ÑĥÑĢ Ñĥ",
+      "ÑĢ ÑĸÑĹ",
+      "ÑĢÑĸ ÑĹ",
+      "Ġçocu ÄŁ",
+      "ัà¸IJ à¸ļาล",
+      "ÙĦ ÙĬÙĩ",
+      "ÙĦÙĬ Ùĩ",
+      "Ġ[âĢ¦] ...Ċ",
+      "åİŁ å§ĭ",
+      "Ġs klad",
+      "Ġsk lad",
+      "Ġskl ad",
+      "Ġسپ تاÙħبر",
+      "ĠTom áš",
+      "Ġس ÙĪاÙĦ",
+      "ĠسÙĪ اÙĦ",
+      "çģ Ń",
+      "ãĤĵ ãģ©",
+      "на знаÑĩ",
+      "ĠÄij Ä©a",
+      "ĠudÄĽl at",
+      "Ġà¤Ĩ दम",
+      "Ġà¤Ĩद म",
+      "ï¼ ¬",
+      "ι νÏĮ",
+      "ιν ÏĮ",
+      "iÅŁ leri",
+      "ÄIJ ây",
+      "Ġرس اÙĨÙĩ",
+      "ع اÙħ",
+      "عا Ùħ",
+      "ãĥ¼ãĥij ãĥ¼",
+      "Ġdo prov",
+      "Ġdop rov",
+      "ĠмÑĸÑģ ÑĤо",
+      "ĠмÑĸÑģÑĤ о",
+      "ï¼ ¥",
+      "ел Ñĸг",
+      "елÑĸ г",
+      "ائ ز",
+      "ä¸į äºĨ",
+      "ĠÐIJлекÑģанд ÑĢ",
+      "ĠвÑĢем ен",
+      "Ġdve ÅĻe",
+      "Ġch ảy",
+      "Ġ otel",
+      "Ġo tel",
+      "Ġot el",
+      "èĤ¯ å®ļ",
+      "ĠÑĥÑĤ веÑĢжд",
+      "ĠÐļом п",
+      "ĠÐļо мп",
+      "Ġ ëĤĺëĿ¼",
+      "ĠëĤĺ ëĿ¼",
+      "ĠвÑĸдбÑĥва ÑĶÑĤÑĮÑģÑı",
+      "ãĢģ ãĢİ",
+      "ĠkarÅŁÄ± lık",
+      "Ġl ẫn",
+      "çħ Ļ",
+      "ع کس",
+      "å¼ ¥",
+      "Ġte cr",
+      "Ġtec r",
+      "Ġne od",
+      "Ġneo d",
+      "æĪIJ çĤº",
+      "åħ¥ ãĤĬ",
+      "ĠÐŁ ÑĢод",
+      "ĠÐŁÑĢ од",
+      "ĠÐŁÑĢо д",
+      "ĠÏĢ Ïģά",
+      "ื à¸Ńà¸Ķ",
+      "ืà¸Ń à¸Ķ",
+      "ÑģÑĤ аÑĤи",
+      "ÑģÑĤа ÑĤи",
+      "е ноÑĹ",
+      "ен оÑĹ",
+      "ено ÑĹ",
+      "Ñĩи Ñģл",
+      "ÑĩиÑģ л",
+      "羣 æŃ£",
+      "Ġ ราà¸Ħ",
+      "Ġร าà¸Ħ",
+      "Ñĥ ÑĢе",
+      "ÑĥÑĢ е",
+      "ĠØ´ اÙĩد",
+      "ĠشاÙĩ د",
+      "ا عر",
+      "اع ر",
+      "Ġê²½ íĹĺ",
+      "à¸Ļ à¸Ħ",
+      "ãĥį ãĥ«",
+      "ÏĢοÏħ λοÏĤ",
+      "Ġम à¤Ī",
+      "ìĬ¤ ì½Ķ",
+      "itel né",
+      "å¼Ģ æĶ¾",
+      "ç į¨",
+      "çį ¨",
+      "ĠpÅĻ ech",
+      "ĠpÅĻe ch",
+      "ú Äįast",
+      "å¢ ĵ",
+      "Ġ å½±",
+      "Ġå½ ±",
+      "ÙĨ ساÙĨ",
+      "ÙĨس اÙĨ",
+      "ÙĨسا ÙĨ",
+      "Ġд вад",
+      "Ġдв ад",
+      "Ġдва д",
+      "Ġи деÑĤ",
+      "Ġиде ÑĤ",
+      "Ġид еÑĤ",
+      "Ġпод клÑİÑĩ",
+      "Ġподк лÑİÑĩ",
+      "íĬ¹ë³Ħ ìĭľ",
+      "B Ãłi",
+      "Å¡ ku",
+      "Å¡k u",
+      "i lerden",
+      "iler den",
+      "åıĺ å¾Ĺ",
+      "ëıĻ ìķĪ",
+      "Ġpostup nÄĽ",
+      "ĠиÑĤ ог",
+      "Ġd ůvodu",
+      "Ġdůvod u",
+      "siz lik",
+      "ÙĦ اÙĨ",
+      "ÙĦا ÙĨ",
+      "éĤ£ ç§į",
+      "ĠÑĩа Ñģа",
+      "ĠÑĩаÑģ а",
+      "ä¸į æĸŃ",
+      "ĠØ®ÛĮ اباÙĨ",
+      "ĠاÙĦد اخ",
+      "ĠÑģÑĤоÑĢ Ñĸн",
+      "Ġì¶ľ ìĹ°",
+      "æ² Ł",
+      "Ġh ry",
+      "Ġhr y",
+      "ĠG Ãľ",
+      "ĠìĿ¸ 구",
+      "l ied",
+      "li ed",
+      "lie d",
+      "Ġع اÙĦÙĬØ©",
+      "ĠпÑĢед ваÑĢ",
+      "ан ной",
+      "åı¥ è¯Ŀ",
+      "éł ĵ",
+      "ë°Ķ ìĿ¼",
+      "ï¼ı /",
+      "ĠÙħخت صات",
+      "ëŀ «",
+      "ĠçalÄ±ÅŁ maları",
+      "ĠçalÄ±ÅŁmalar ı",
+      "ĠçalÄ±ÅŁma ları",
+      "Ġrepublik a",
+      "Ġ ì³",
+      "Ġì ³",
+      "ा )",
+      "Ġê±´ ê°ķ",
+      "Ġê³µ ëıĻ",
+      "èħ ¦",
+      "ĠìĦľ ë¡ľ",
+      "ĠпÑĢовод иÑĤÑĮ",
+      "ĠдейÑģÑĤв иÑĤелÑĮно",
+      "v eç",
+      "ve ç",
+      "Ø« اÙĦ",
+      "Ġgöster ir",
+      "ır lar",
+      "ĠÑģам Ñĭм",
+      "á lo",
+      "ál o",
+      "é¢ij 次",
+      "à¥Ī à¤Ĺ",
+      "ا دÙħ",
+      "اد Ùħ",
+      "çĮ ª",
+      "ĠS ản",
+      "Ġ çı",
+      "Ġç ı",
+      "Ġl ety",
+      "Ġle ty",
+      "Ġlet y",
+      "Ġrep ublice",
+      "Ġrepublic e",
+      "æĿ¥ èĩª",
+      "Ġv ết",
+      "Ġbi rik",
+      "Ġbir ik",
+      "Ġbiri k",
+      "Ġm ekt",
+      "Ġme kt",
+      "Ġmek t",
+      "ĠاÙĦ ÙĪÙģ",
+      "ĠاÙĦÙĪ Ùģ",
+      "Ġj ich",
+      "Ġji ch",
+      "ä¸Ģ 覧",
+      "éľ² åĩº",
+      "ĠH iá»ĩn",
+      "ĠHi á»ĩn",
+      "Ġd iá»ĩt",
+      "ĠÑħ ÑĢиÑģÑĤи",
+      "åĪļ æīį",
+      "k ate",
+      "ka te",
+      "kat e",
+      "Ġb azen",
+      "Ġba zen",
+      "Ġbaz en",
+      "ĠurÄįit ÄĽ",
+      "ĠurÄį itÄĽ",
+      "Ġumož ÅĪuje",
+      "é¡ĺ ãģĦ",
+      "/Q ÄIJ",
+      "Ġmen Å¡ÃŃ",
+      "ÏĥκεÏħ ή",
+      "ĠÑĨеÑĢк ов",
+      "ĠÑĨеÑĢ ков",
+      "Ġ è´Ń",
+      "Ġè´ Ń",
+      "ок ÑĢаÑĤи",
+      "ĠÑĢоз к",
+      "α νοÏħ",
+      "αν οÏħ",
+      "Ġyön etic",
+      "Ġyönet ic",
+      "Ġol madan",
+      "Ġolm adan",
+      "Ġolma dan",
+      "åĨľ ä¸ļ",
+      "Ġë°Ķ ëŀĮ",
+      "çĵ ľ",
+      "ÑĪ аеÑĤÑģÑı",
+      "ÑĪа еÑĤÑģÑı",
+      "ĠÐļ оÑģÑĤ",
+      "ĠÐļо ÑģÑĤ",
+      "ĠÙħ عت",
+      "ĠÙħع ت",
+      "Ġ à¸ŀล",
+      "Ġà¸ŀ ล",
+      "ĠÙħتÙģ اÙĪت",
+      "ãĤī ãģı",
+      "èĪ Ĺ",
+      "Ġتع رÛĮÙģ",
+      "éīĦ éģĵ",
+      "Ġpé Äįe",
+      "ì» µ",
+      "Ġпод ÑĢаз",
+      "Ġбан кÑĥ",
+      "Ġбанк Ñĥ",
+      "Ä°S Ä°",
+      "æ¡ IJ",
+      "à¹Ĥ รà¸Ħ",
+      "à¹Ĥร à¸Ħ",
+      "ĠØŃØ° Ùģ",
+      "Ġ ë£",
+      "Ġë £",
+      "л иж",
+      "ли ж",
+      "Ġ ìĤ°ìĹħ",
+      "ĠìĤ° ìĹħ",
+      "ĠпÑĢи ÑĩинÑĭ",
+      "ĠпÑĢиÑĩин Ñĭ",
+      "ĠпÑĢиÑĩ инÑĭ",
+      "Ġна зна",
+      "Ġназ на",
+      "ãĥª ãĤ¹ãĥĪ",
+      "ãĥªãĤ¹ ãĥĪ",
+      "ìłķ ë¶Ģ",
+      "Ïĥ ÏĨα",
+      "ÏĥÏĨ α",
+      "å¦ ĥ",
+      "Ġголов и",
+      "Ġгол ови",
+      "ëIJĺìĹĪ ìĬµëĭĪëĭ¤",
+      "Ġεν ÏĮÏĤ",
+      "ãĤ¤ ãĥ³ãĤ¿",
+      "ãĤ¤ãĥ³ ãĤ¿",
+      "Ġs lun",
+      "Ġsl un",
+      "Ġslu n",
+      "ëł ´",
+      "ĠÑģÑĥÑīеÑģÑĤв ÑĥеÑĤ",
+      "ĠÑģÑĥÑīе ÑģÑĤвÑĥеÑĤ",
+      "з аб",
+      "за б",
+      "æĽ´ åĬł",
+      "Ġблагод аÑĢÑı",
+      "ĠëĮĢ 구",
+      "è¾ ħ",
+      "ห าà¸ģ",
+      "หา à¸ģ",
+      "Ġ æİ¥",
+      "Ġæİ ¥",
+      "ëĮĢ 를",
+      "人 类",
+      "j eme",
+      "je me",
+      "jem e",
+      "åĪĨ å¸ĥ",
+      "ìŀ¥ ìĿĢ",
+      "Ġдопом оги",
+      "ìĻĦ ë£Į",
+      "o sy",
+      "os y",
+      "èĭ± éĽĦ",
+      "Ġ ÙĦس",
+      "ĠÙĦ س",
+      "म ह",
+      "Ġ à¸ģำ",
+      "Ġà¸ģ ำ",
+      "Ġداش تÙĨ",
+      "Ġداشت ÙĨ",
+      "Ń ìłľ",
+      "Ä° ng",
+      "Ä°n g",
+      "ĠTh Æ°á»Ŀng",
+      "íĻ Ģ",
+      "Ñį ÑĦ",
+      "íķ´ ìļĶ",
+      "ĠÐľ Ñĸж",
+      "ĠÐľÑĸ ж",
+      "еÑĢÑĸ га",
+      "еÑĢÑĸг а",
+      "Ġε á¼",
+      "à¹ģ สà¸ĩ",
+      "à¹ģส à¸ĩ",
+      "ãĥĢ ãĤ¤",
+      "Ġc esty",
+      "Ġce sty",
+      "Ġces ty",
+      "Ġcest y",
+      "Ġpr ázd",
+      "Ġprá zd",
+      "第 ä¸Ģ次",
+      "第ä¸Ģ 次",
+      "ĠÙĩÙħ سر",
+      "Ġz ev",
+      "Ġze v",
+      "Âł E",
+      "ĠBeled iyesi",
+      "ĠBelediye si",
+      "ĠпÑĢоп ози",
+      "Ġanlay Ä±ÅŁ",
+      "Âł Ùħ",
+      "ĠÑĢаÑģÑģ ÑĩиÑĤ",
+      "ĠاÙĦØ£Ùħ رÙĬÙĥÙĬØ©",
+      "ĠاÙĦØ£ÙħرÙĬÙĥÙĬ Ø©",
+      "Ġž ena",
+      "Ġže na",
+      "Ġžen a",
+      "d eniz",
+      "den iz",
+      "Ġn oci",
+      "Ġno ci",
+      "Ġnoc i",
+      "Ġst ál",
+      "ุ ย",
+      "주 ìĨĮ",
+      "Ġз еÑĢ",
+      "Ġ ìĨĮê°ľ",
+      "ĠìĨĮ ê°ľ",
+      "Ġkh ẳng",
+      "at ıcı",
+      "atı cı",
+      "ÄĽ ž",
+      "ĠÑĩ ÑĥÑĤÑĮ",
+      "Ġc áºŃu",
+      "ĠاطÙĦ اع",
+      "æµ ħ",
+      "Ġst rav",
+      "Ġstr av",
+      "Ġstra v",
+      "ĠSan ayi",
+      "Ġ طبÙĬ",
+      "ĠØ· بÙĬ",
+      "Ġطب ÙĬ",
+      "Ġhız la",
+      "Ïİ Î½Î±",
+      "Ïİν α",
+      "à¤¿à¤ľ ल",
+      "ÙħØŃ Ùħد",
+      "à¸ļ à¸ģ",
+      "Ġvzdál en",
+      "ĠÑĤак ими",
+      "ĠÑĤа кими",
+      "ĠÑĤаким и",
+      "ãĢĤ ãģĿãģĹãģ¦",
+      "Ġka lp",
+      "Ġkal p",
+      "Ġкож ного",
+      "Ðł µ",
+      "ÙĦع اب",
+      "ĠÙħ ÙĪÙĨ",
+      "ĠÙħÙĪ ÙĨ",
+      "ĠìĿ¼ ìĿĦ",
+      "Ġ ë°ĶìĿ´",
+      "Ġë°Ķ ìĿ´",
+      "Ġme kan",
+      "Ġmek an",
+      "ĠجاÙħ ع",
+      "Ġجا Ùħع",
+      "ĠÙĨ Ùģت",
+      "ĠÙĨÙģ ت",
+      "ĠاÙĦ سÙħ",
+      "ĠاÙĦس Ùħ",
+      "л ÑĭÑħ",
+      "лÑĭ Ñħ",
+      "èĥĮ æĻ¯",
+      "Ġê²ĥ ëıĦ",
+      "ĠìĤ´ ìķĦ",
+      "y dı",
+      "yd ı",
+      "Ġна веÑĢ",
+      "Ġнав еÑĢ",
+      "åŃIJ ãģ¯",
+      "l uluk",
+      "lu luk",
+      "Ġhá»Ĺ n",
+      "Ġ Ø´Ùģ",
+      "ĠØ´ Ùģ",
+      "Ġع ÙĦت",
+      "ĠعÙĦ ت",
+      "à¸Ħร าม",
+      "ĠÎļ ÏįÏĢ",
+      "Ġà¹Ģม ษายà¸Ļ",
+      "ÙĨد ÙĤ",
+      "ĠÑĥ ÑģÑĤÑĢа",
+      "ĠÑĥÑģÑĤ ÑĢа",
+      "ĠÑĥÑģ ÑĤÑĢа",
+      "ĠÎĵ εν",
+      "ĠÐĨ ван",
+      "ĠP hong",
+      "ĠPh ong",
+      "ĠPhon g",
+      "家 çļĦ",
+      "ĠÐIJ лекÑģ",
+      "ĠÐIJле кÑģ",
+      "ĠÐIJл екÑģ",
+      "Ġзб еÑĢÑĸг",
+      "ĠÅŁark ı",
+      "ĠÅŁar kı",
+      "ĠظرÙģ ÛĮت",
+      "ĠÙħ عÙĨÛĮ",
+      "ĠÙħع ÙĨÛĮ",
+      "ĠÙħعÙĨ ÛĮ",
+      "Ġ лов",
+      "Ġл ов",
+      "ĠìĤ ¶",
+      "èħ IJ",
+      "Ġ å¯Į",
+      "Ġå¯ Į",
+      "E RG",
+      "ER G",
+      "ĠÑģÑĤо имоÑģÑĤÑĮ",
+      "ÅĻ et",
+      "ÅĻe t",
+      "à¥ī य",
+      "à¹Ī าร",
+      "à¹Īา ร",
+      "ĠارÙĪÙ¾ ا",
+      "Ġб ÑĢоÑģ",
+      "ĠоÑĤ ноÑģÑıÑĤ",
+      "ĠоÑĤноÑģ ÑıÑĤ",
+      "ĠÎŁ κ",
+      "ÑĨÑĮ кий",
+      "ÏĬ κ",
+      "ãģĤãĤĬ ãģ¾ãģĽãĤĵ",
+      "ĠÑĥ ник",
+      "ĠÄij iá»ĥn",
+      "ĠÄiji á»ĥn",
+      "Ġvý zkum",
+      "Ġh ứ",
+      "Ġhá» ©",
+      "Ġ ÙĪات",
+      "ĠÙĪ ات",
+      "ĠÙĪا ت",
+      "Ġ å¹³æĸ¹",
+      "Ġå¹³ æĸ¹",
+      "Ïħ μ",
+      "ãĤĴ 使",
+      "εί ÏĦαι",
+      "两 人",
+      "Ġ åĮ»",
+      "ĠåĮ »",
+      "ÑĢаÑĤ иÑĤÑĮ",
+      "ÑĢаÑĤи ÑĤÑĮ",
+      "ĠاÙĦ اÙĨت",
+      "ĠاÙĦاÙĨ ت",
+      "ãģ® 人",
+      "ر ش",
+      "ĠТ ÑĥÑĢ",
+      "r nÄĽ",
+      "rn ÄĽ",
+      "天 天",
+      "ม าร",
+      "มา ร",
+      "Ġort alama",
+      "Ġorta lama",
+      "ĠпеÑĢе пиÑģ",
+      "ĠпеÑĢеп иÑģ",
+      "ĠìĥĿ ìĤ°",
+      "å¿ Ĩ",
+      "í ĩ´",
+      "ï¼Į 该",
+      "éĮ ¢",
+      "ÏĢα ίδ",
+      "ĠмеÑĢ опÑĢи",
+      "Ġг ÑĢав",
+      "ĠгÑĢа в",
+      "ĠгÑĢ ав",
+      "ÃĶ ng",
+      "Ġ æ¤",
+      "Ġæ ¤",
+      "ĠاÙĦد ÙĪÙĦØ©",
+      "ĠاÙĦدÙĪÙĦ Ø©",
+      "Ġ оÑģÑĮ",
+      "Ġо ÑģÑĮ",
+      "ĠоÑģ ÑĮ",
+      "å¥ Ķ",
+      "Ġgüven li",
+      "íķĺ ìĭł",
+      "Ġ éĬ",
+      "Ġé Ĭ",
+      "éŁ³ æ¨Ĥ",
+      "Ġmed ya",
+      "Ġب ÙĨا",
+      "ĠبÙĨ ا",
+      "а ма",
+      "ам а",
+      "Ġ ãĤŃãĥ£",
+      "ĠãĤŃ ãĥ£",
+      "èĹ ¥",
+      "l arım",
+      "lar ım",
+      "ları m",
+      "ĠT iếng",
+      "iyor lar",
+      "ï¼ ¢",
+      "æĶ Ŀ",
+      "Ñĸй ÑģÑĮкоÑĹ",
+      "Ġyet iÅŁtir",
+      "ĠyetiÅŁ tir",
+      "ĠÙ¾ سر",
+      "Ġپس ر",
+      "ãĤī ãģĹ",
+      "Â ļ",
+      "ìĥ ¤",
+      "à¸Ķ าห",
+      "à¸Ķา ห",
+      "ĠتØŃص ÛĮÙĦ",
+      "Ġб енз",
+      "éģ £",
+      "Ġнаб лÑİ",
+      "ä½ĵ ç³»",
+      "ãĥ¯ ãĤ¤ãĥĪ",
+      "Âł ÂłĠ",
+      "³³ Ġ",
+      "书 记",
+      "ĠMü hendis",
+      "p lor",
+      "pl or",
+      "l az",
+      "la z",
+      "лÑı ли",
+      "Ġpom áh",
+      "Ġб лиж",
+      "Ġбл иж",
+      "Ġбли ж",
+      "ĠÑĩиÑģ ла",
+      "Ġubyt ovánÃŃ",
+      "ÑĢаÑĤ но",
+      "Ġtr Äĥm",
+      "Ġاب راÙĩ",
+      "át ka",
+      "Ġiç indeki",
+      "Ġiçin deki",
+      "Ġiçinde ki",
+      "ั à¸ļà¸Ļ",
+      "ัà¸ļ à¸Ļ",
+      "ĠاÙħ ÛĮد",
+      "n ave",
+      "na ve",
+      "nav e",
+      "e cut",
+      "ec ut",
+      "å°± åľ¨",
+      "Ġt radi",
+      "Ġtr adi",
+      "Ġtrad i",
+      "Ġtra di",
+      "Ø· ÙĦÙĤ",
+      "Ø·ÙĦ ÙĤ",
+      "ãĤ¦ ãĤ©",
+      "Ġkhu ôn",
+      "ìĬ¤ ë¡ľ",
+      "ÏĦ ÎŃÏģα",
+      "ÏĦÎŃ Ïģα",
+      "ĠÏĥ κο",
+      "ĠÏĥκ ο",
+      "ë§ Ľ",
+      "ĠÙģ ÙĨÛĮ",
+      "ĠÙģÙĨ ÛĮ",
+      "à¹Į à¹Ģà¸ŀ",
+      "ĠاÙĦع ظ",
+      "Ġth ôn",
+      "기 ìĿĺ",
+      "Ġภ¿",
+      "Ñĥ ÑİÑĤÑģÑı",
+      "ÑĥÑİÑĤ ÑģÑı",
+      "ĠÙħ کاÙĨ",
+      "ĠÙħÚ© اÙĨ",
+      "Ġ âĹİ",
+      "ĠâĹ İ",
+      "Ġ çľģ",
+      "Ġçľ ģ",
+      "Ġ åį¡",
+      "Ġåį ¡",
+      "ĠпеÑĢ ÑĪий",
+      "ĠпеÑĢÑĪ ий",
+      "ĠíĽĦ ë³´",
+      "Ġآر اÙħ",
+      "ãģĮ ãģĦ",
+      "ย าà¸Ļ",
+      "ยา à¸Ļ",
+      "μ ει",
+      "με ι",
+      "ĠM áy",
+      "Ġz ů",
+      "Ġpodp oru",
+      "Ġpodpor u",
+      "ì» ¨",
+      "Ñģ ÑĤÑĢи",
+      "ÑģÑĤ ÑĢи",
+      "ÑģÑĤÑĢ и",
+      "ÏĢ ÏĦÏīÏĥη",
+      "Ф ÐĽ",
+      "åĵª éĩĮ",
+      "ĠпеÑĢв ÑĥÑİ",
+      "Ġyer inde",
+      "Ġyeri nde",
+      "ĠزÛĮ با",
+      "ĠزÛĮب ا",
+      "Ġodst ran",
+      "à¥Ģ à¤Ĺ",
+      "ĠÑĢÑĸз нÑĸ",
+      "Ïģ ηÏĥη",
+      "Ïģη Ïĥη",
+      "âĢĮاÙĦÙħÙĦ ÙĦÛĮ",
+      "ع اد",
+      "عا د",
+      "à¥įप ष",
+      "ÑŁ N",
+      "ï½ Ľ",
+      "ãĥ¼ ãĥľ",
+      "ãĥ¼ãĥ ľ",
+      "è´Ń ä¹°",
+      "ĠìĿ¸ê¸° ê¸Ģ",
+      "ĠÙħÛĮ Ø´ÙĪد",
+      "ĠбезопаÑģ ноÑģÑĤи",
+      "ĠνεÏĨ οκ",
+      "ãģ« ãģ¨",
+      "ĠÑĨеÑĢк ви",
+      "ت Ùĥ",
+      "ĠH Ãłng",
+      "ĠHÃł ng",
+      "ĠHÃłn g",
+      "ĠÙĦ ÙĦس",
+      "ĠÙĦÙĦ س",
+      "ĠνεÏĨοκ άλÏħÏĪηÏĤ",
+      "r aman",
+      "ra man",
+      "ram an",
+      "rama n",
+      "Ġvy vol",
+      "n iÄį",
+      "ni Äį",
+      "ر اÙĨÙĩ",
+      "راÙĨ Ùĩ",
+      "را ÙĨÙĩ",
+      "Ġp eÅŁ",
+      "Ġpe ÅŁ",
+      "ãĥ« ãĤ¯",
+      "å´ ĩ",
+      "Ġim kân",
+      "åĮ» çĸĹ",
+      "Ġप à¥Ŀ",
+      "άν νηÏĤ",
+      "Ġ جÛĮ",
+      "Ġج ÛĮ",
+      "Ġp roje",
+      "Ġpro je",
+      "Ġpr oje",
+      "Ġproj e",
+      "Ġül kenin",
+      "Ġülk enin",
+      "Ġülke nin",
+      "ĠK ew",
+      "ĠKe w",
+      "ĠاÙĦÙħ Ùģ",
+      "Ø£ Ùĥ",
+      "çĻº 表",
+      "Ġ δÏħ",
+      "Ġδ Ïħ",
+      "Ġ åĽ½å®¶",
+      "ĠåĽ½ 家",
+      "ĠKiÅŁ isel",
+      "ãĥ³ ãĤ¬",
+      "Ġzpráv a",
+      "V iá»ĩc",
+      "e rif",
+      "er if",
+      "eri f",
+      "Ġstrán ky",
+      "éļ ł",
+      "è¼ ķ",
+      "к оз",
+      "ко з",
+      "Ġस à¤ľ",
+      "Ùĩد اÙģ",
+      "l oub",
+      "lo ub",
+      "lou b",
+      "à¸łà¸²à¸ŀ ยà¸Ļà¸ķร",
+      "Ġíķł ìĿ¸",
+      "ĠÄIJ Ãło",
+      "ĠÄIJÃł o",
+      "ĠÙĨاØŃ ÛĮÙĩ",
+      "(= )",
+      "ĠÅŀ ampiyon",
+      "Ġp iÅŁ",
+      "Ġpi ÅŁ",
+      "Ġ Ø°Ùĩ",
+      "ĠØ° Ùĩ",
+      "ॠ¯",
+      "ĠÑģÑĢед ÑģÑĤво",
+      "ĠÑģÑĢедÑģÑĤв о",
+      "Ġ à¹Ģวลา",
+      "Ġà¹Ģว ลา",
+      "ĠÑĩ Ñĥж",
+      "Ġver ileri",
+      "Ġveri leri",
+      "Ġveriler i",
+      "ĠÚ© ارت",
+      "Ġکار ت",
+      "а ви",
+      "ав и",
+      "Ġà¤ķर व",
+      "Ġres tau",
+      "Ġrest au",
+      "Ġresta u",
+      "ê°ľ ìĽĶ",
+      "Ġм иÑĢов",
+      "Ġми ÑĢов",
+      "ĠмиÑĢ ов",
+      "ì° ®",
+      "ĠnÄĽjak ý",
+      "Ġses siz",
+      "Ġsess iz",
+      "اء ات",
+      "ĠÐĹ Ð°Ñħ",
+      "ĠÐĹа Ñħ",
+      "Ñı ÑīиÑħ",
+      "ÑıÑī иÑħ",
+      "п ÑĢ",
+      "Ġпод алÑĮ",
+      "Ġпода лÑĮ",
+      "ĠопÑĢедел иÑĤÑĮ",
+      "ॠŃ",
+      "Ġ رÙģ",
+      "Ġر Ùģ",
+      "幸 ç¦ı",
+      "à »",
+      "Ġ vÄĽdom",
+      "ĠvÄĽ dom",
+      "ĠvÄĽd om",
+      "ĠÑģвид еÑĤелÑĮ",
+      "ĠÎĵ οÏħ",
+      "ılıģı yla",
+      "ılıģ ıyla",
+      "çĻ» éĮ²",
+      "Ġä¸ĭ è·Į",
+      "Ġп лÑİ",
+      "Ġпл Ñİ",
+      "н од",
+      "но д",
+      "ĠØ£ جÙĦ",
+      "Ġأج ÙĦ",
+      "Ġà¤ķ थ",
+      "éĥ½ ä¸į",
+      "Ġs ene",
+      "Ġse ne",
+      "Ġsen e",
+      "Ġp ÄĽ",
+      "è¨Ī åĬĥ",
+      "Ġа Ñĥд",
+      "Ġод ном",
+      "Ġодно м",
+      "Ġ ä¸ĩåħĥ",
+      "Ġä¸ĩ åħĥ",
+      "ĠÙĪ Ùħا",
+      "ĠÙĪÙħ ا",
+      "ĠÐĶ ÑĢÑĥг",
+      "èµ· ãģĵ",
+      "в аÑİÑĤÑģÑı",
+      "ва ÑİÑĤÑģÑı",
+      "ваÑİÑĤ ÑģÑı",
+      "л аÑĤÑĥ",
+      "ла ÑĤÑĥ",
+      "лаÑĤ Ñĥ",
+      "Ġ تÙĪÙĨ",
+      "Ġت ÙĪÙĨ",
+      "ĠتÙĪ ÙĨ",
+      "Ñī аÑı",
+      "Ñīа Ñı",
+      "ή λ",
+      "ĠÐŁ ÑĢа",
+      "ĠÐŁÑĢ а",
+      "Ġاست رات",
+      "Ġاستر ات",
+      "ิà¸Ļ à¹Ģà¸Ķ",
+      "à¥įà¤Ĺ त",
+      "Âł з",
+      "Ġп олоÑĤ",
+      "Ġпо лоÑĤ",
+      "Ġпол оÑĤ",
+      "æ® ĸ",
+      "æ¡ Ĩ",
+      "ĠS istem",
+      "ĠSi stem",
+      "ĠSist em",
+      "Ġr uku",
+      "Ġru ku",
+      "Ġruk u",
+      "ãĥĥ ãĤ«ãĥ¼",
+      "ĠобÑıз ан",
+      "Ġkö ÅŁ",
+      "Ġad ını",
+      "Ø´Ùħ اÙĦÛĮ",
+      "na ÄįenÃŃ",
+      "naÄį enÃŃ",
+      "Ġ .ï¼ı",
+      "Ġ. ï¼ı",
+      "Ġ å®ĺ",
+      "Ġå® ĺ",
+      "Ġtoplum sal",
+      "èª ¤",
+      "ĠبÙĩ بÙĪد",
+      "ÑģÑĤв еннаÑı",
+      "ÑģÑĤвен наÑı",
+      "ĠØ¢ Ù¾",
+      "ĠجÙĦ سÙĩ",
+      "ĠجÙĦس Ùĩ",
+      "ãĢĢ ï½",
+      "åĵ Ń",
+      "æīĢ å±ŀ",
+      "æĴ ®",
+      "ì¢ Ģ",
+      "Ġ ει",
+      "Ġε ι",
+      "ì¹ĺ 를",
+      "Ġ ê³¼ìłķ",
+      "Ġê³¼ ìłķ",
+      "u uml",
+      "uum l",
+      "uu ml",
+      "δ ά",
+      "Ġ زد",
+      "Ġز د",
+      "ìĽIJ ìĿĦ",
+      "ĠvÄĽ cÃŃ",
+      "ĠvÄĽc ÃŃ",
+      "د ث",
+      "Ġs anki",
+      "Ġsan ki",
+      "Ġsank i",
+      "åĥı æĺ¯",
+      "л аÑĢа",
+      "ла ÑĢа",
+      "ìĤ¬ ìĿ´",
+      "ãĤı ãĤĮãģŁ",
+      "ãĤıãĤĮ ãģŁ",
+      "ĠÄij ón",
+      "ĠÄijó n",
+      "åIJ¯ åĬ¨",
+      "Ġgi Ãłnh",
+      "ĠgiÃł nh",
+      "Ġkır mızı",
+      "Ø® Ùħ",
+      "æIJ į",
+      "åĪĩ ãĤĬ",
+      "ãĤµ ãĥ¼ãĥĵãĤ¹",
+      "Ùĩ ار",
+      "Ùĩا ر",
+      "Ø° Ùĥر",
+      "о ÑĢоз",
+      "оÑĢ оз",
+      "оÑĢо з",
+      "à¥Īà¤Ĥ ।ĊĊ",
+      "à¥Īà¤Ĥ। ĊĊ",
+      "à¥Īà¤Ĥ।Ċ Ċ",
+      "ĠíĻĪ íİĺìĿ´ì§Ģ",
+      "ĠÙĥ بÙĬرة",
+      "ĠÙĥبÙĬر Ø©",
+      "н ина",
+      "ни на",
+      "нин а",
+      "íķĺ ìļ°",
+      "å¼ķçĶ¨ é¢ij次",
+      "ॠ®",
+      "ĠбаÑĤÑĮ кÑĸв",
+      "à¸Ł à¸Ńร",
+      "ี .",
+      "ìłĿ íĬ¸",
+      "éĺħ读 次æķ°",
+      "Ġit ir",
+      "Ġi tir",
+      "ÑĪ ин",
+      "ÑĪи н",
+      "ĠV áºŃy",
+      "çĤ ®",
+      "ла год",
+      "лаг од",
+      "Ø´ÙĨ اس",
+      "á» IJ",
+      "ĠÑı год",
+      "Ġì¤ij ìķĻ",
+      "ر ÙĬØ·",
+      "رÙĬ Ø·",
+      "ĠìĪĺ íĸī",
+      "Ġ ä¸ĢèĪ¬",
+      "Ġä¸Ģ èĪ¬",
+      "ĠÑħви лин",
+      "ĠÐľÐ¾Ð¶ но",
+      "ĠнаÑĩ але",
+      "Ġод нов",
+      "Ġодно в",
+      "ĠÃľ ç",
+      "ÑĨион нÑĭй",
+      "Ġ ìļķ",
+      "Ġìļ ķ",
+      "æ¼ Ĥ",
+      "å² ³",
+      "ت دÙī",
+      "تد Ùī",
+      "κ ηÏĤ",
+      "κη ÏĤ",
+      "âĢĻ nda",
+      "âĢĻn da",
+      "ï¼IJ ï¼IJ",
+      "èª ī",
+      "é§ħ å¾ĴæŃ©",
+      "ĠÙģرز ÙĨد",
+      "åħ¬ è·¯",
+      "α ÏĥίαÏĤ",
+      "αÏĥ ίαÏĤ",
+      "αÏĥία ÏĤ",
+      "าà¸ĵ าà¸Ī",
+      "ëij ¥",
+      "Ġ ÏĢοι",
+      "ĠÏĢ οι",
+      "ĠÏĢο ι",
+      "Ġب داÙĨ",
+      "Ġبد اÙĨ",
+      "к ап",
+      "ка п",
+      "ĠìŀĪ ëĬĶëį°",
+      "ĠìŀĪëĬĶ ëį°",
+      "ï¼Į æѤ",
+      "à¸Ľà¸£à¸°à¹Ĥย à¸Ĭà¸Ļ",
+      "ĠÚ©Ø´ÙĪر ÙĩاÛĮ",
+      "ุ ส",
+      "ãģ¹ ãģį",
+      "ĠÑģам Ñĭй",
+      "Ġп лÑı",
+      "Ġпл Ñı",
+      "Ġб ед",
+      "人 æīį",
+      "ส หร",
+      "ู à¸ķ",
+      "Ġkullan ımı",
+      "Ġkullanım ı",
+      "íķĻ ëħĦ",
+      "æ²» çĸĹ",
+      "ãĢĤ ä¸įè¿ĩ",
+      "ãĢĤä¸į è¿ĩ",
+      "æ£ ļ",
+      "ëĤ¨ ëıĦ",
+      "ĠØ¢ تش",
+      "Ïĩ ÎŃÏĤ",
+      "Ġfunk ci",
+      "Ġfunkc i",
+      "н ообÑĢаз",
+      "но обÑĢаз",
+      "à¥ĭ फ",
+      "Ġk aps",
+      "Ġka ps",
+      "Ġkap s",
+      "าษ à¸İ",
+      "( ع",
+      "ï¼Į åĬł",
+      "à¹Ĭ à¸ģ",
+      "ĠÙĩ Ø´",
+      "Ġدر ÙĪÙĨ",
+      "Ġ меÑĩ",
+      "Ġм еÑĩ",
+      "ĠпÑĢеж де",
+      "à¹Ī ย",
+      "Ġار شد",
+      "า à¹Ģล",
+      "æ¯Ķ è¼ĥ",
+      "ĠØ° کر",
+      "Ġ æĿ¡",
+      "ĠæĿ ¡",
+      "Ð Ĭ",
+      "Ñĥ кÑĢаÑĹн",
+      "ÙĬÙĨ ات",
+      "ÙĬÙĨا ت",
+      "ì¢ ĭ",
+      "д иÑı",
+      "ди Ñı",
+      "ÏĦ Ïģι",
+      "ÏĦÏģ ι",
+      "ĠÐļ аз",
+      "ĠÐļа з",
+      "ÙĤ ÙĦاÙĦ",
+      "ÙĤÙĦ اÙĦ",
+      "_ ,,",
+      "_, ,",
+      "ĠÚĨ ت",
+      "ĠìĿ¼ ìłķ",
+      "ĠÐŁ ÑĢоÑĦ",
+      "ĠÐŁÑĢ оÑĦ",
+      "ĠÐŁÑĢо ÑĦ",
+      "æ³ Ľ",
+      "Ġdruh ý",
+      "Ñĩ Ñĥк",
+      "ÑĩÑĥ к",
+      "l edik",
+      "le dik",
+      "led ik",
+      "ledi k",
+      "Ġhey ec",
+      "Ñĭ вал",
+      "Ñĭв ал",
+      "Ñĭва л",
+      "ĠD üny",
+      "ĠDün y",
+      "Ġ çĻº",
+      "ĠçĻ º",
+      "ĠpÅĻ átel",
+      "β άλ",
+      "βά λ",
+      "Ġ غر",
+      "Ġغ ر",
+      "ëĭ¨ ì²´",
+      "ìĽ¨ ëĶĶìĭľ",
+      "ÑĢаÑī ениÑı",
+      "н ÑĨиклопед",
+      "Ġpodnik atel",
+      "Ġìĭł ìŀħ",
+      "ĠÙģر Ø¢",
+      "и лиÑģÑı",
+      "или ÑģÑı",
+      "Ġol umlu",
+      "à¥įष मत",
+      "ĠÙħت خصص",
+      "й ом",
+      "ؤ اÙĦ",
+      "ĠÐĿ аÑĤ",
+      "ĠÐĿа ÑĤ",
+      "ìĺ¤ ëĬĶ",
+      "ĠMüdür lÃ¼ÄŁÃ¼",
+      "ĠH Ãłnh",
+      "ĠHÃł nh",
+      "ĠHÃłn h",
+      "Ġس ابÙĤ",
+      "ï¼ī çļĦ",
+      "ĠQu ý",
+      "lád ánÃŃ",
+      "ládá nÃŃ",
+      "Ġ ìļ´ëıĻ",
+      "Ġìļ´ ëıĻ",
+      "ĠÐĺ Ñħ",
+      "è« ¾",
+      "lıģ ının",
+      "lıģını n",
+      "lıģın ın",
+      "l il",
+      "li l",
+      "u Äį",
+      "ĠÑĩем пÑĸон",
+      "ÑĤ ож",
+      "ÑĤо ж",
+      "Ġ ä½Ľ",
+      "ни ÑĨе",
+      "ниÑĨ е",
+      "ĠпеÑĢв ого",
+      "Ġ Ñģом",
+      "ĠÑģ ом",
+      "ĠÑģо м",
+      "Ïĩ Ïİ",
+      "ÅĻ ik",
+      "ÅĻi k",
+      "иÑĤелÑĮ ÑģÑĤва",
+      "ĠÄ° ki",
+      "Ġask eri",
+      "Ġasker i",
+      "c isi",
+      "ci si",
+      "cis i",
+      "Ġjed nÃŃm",
+      "Ġjedn ÃŃm",
+      "Ġsta nice",
+      "Ġstan ice",
+      "èĤ¡ 票",
+      "à¸ľ ม",
+      "T ừ",
+      "Å¡ ak",
+      "ÏĦ ία",
+      "ÏĦί α",
+      "м ами",
+      "ма ми",
+      "ãģĮ åĩº",
+      "μο ί",
+      "м аÑĶ",
+      "ма ÑĶ",
+      "ëł¥ ìĿ´",
+      "ãĤĦ ãģ£ãģ¦",
+      "Ġ å¼µ",
+      "Ġå¼ µ",
+      "ØĮ Ċ",
+      "Ġ »Ċ",
+      "Ġ» Ċ",
+      "ا جات",
+      "اج ات",
+      "á½ ³",
+      "æĻĤ ãģ®",
+      "Ġп окол",
+      "Ġпо кол",
+      "Ġпок ол",
+      "ÑĸÑĤ еÑĤ",
+      "Ġíķ´ ê²°",
+      "Ġde dim",
+      "Ġded im",
+      "Ġdedi m",
+      "ĠÑĤ веÑĢд",
+      "Ġжен Ñīина",
+      "ĠженÑīин а",
+      "ед ини",
+      "еди ни",
+      "един и",
+      "ĠÙ¾ ÛĮÚ©",
+      "ĠÙ¾ÛĮ Ú©",
+      "iver site",
+      "ivers ite",
+      "iversit e",
+      "ĠآسÛĮ اب",
+      "ĠÑħаÑĢакÑĤеÑĢиÑģÑĤи ки",
+      "ĠØ£ÙĨ Ùĩا",
+      "ĠØ£ÙĨÙĩ ا",
+      "ĠÑĥкÑĢаÑĹн ÑģÑĮкоÑĹ",
+      "ĠاختÙĦ اÙģ",
+      "Ġاخت ÙĦاÙģ",
+      "Ġt ez",
+      "Ġte z",
+      "Ïģ εÏħ",
+      "Ïģε Ïħ",
+      "Ġkon umu",
+      "Ġkonu mu",
+      "Ġkonum u",
+      "ĠÑĤеÑħ нÑĸ",
+      "м Ñĸв",
+      "мÑĸ в",
+      "èĬ ¯",
+      "ĠÏĥ ελ",
+      "ĠÏĥε λ",
+      "Ä ¢",
+      "μ ιÏĥ",
+      "μι Ïĥ",
+      "ี à¹īĊ",
+      "ีà¹ī Ċ",
+      "Ġm ne",
+      "Ġmn e",
+      "ĠоÑĤв еÑĩ",
+      "ĠÎ ī",
+      "Ġ éĩİ",
+      "Ġéĩ İ",
+      "Ġg ấp",
+      "ĠпÑĢодÑĥк ÑĤÑĭ",
+      "ĠпÑĢодÑĥкÑĤ Ñĭ",
+      "ĠС ÑĢед",
+      "Ñĸл лÑı",
+      "à¸ļ à¸Ńà¸ģ",
+      "ĠtÅĻÃŃ dy",
+      "Ġth á»ķ",
+      "Ġthá» ķ",
+      "ãĥĩãĤ£ ãĤ¢",
+      "ÏĢοι η",
+      "ν ει",
+      "νε ι",
+      "æĪij们 çļĦ",
+      "Ġprofes yonel",
+      "ĠRa kou",
+      "ĠRak ou",
+      "Ġвид но",
+      "Ġz by",
+      "Ġzb y",
+      "ĠØŃ Ø§ÙĦÛĮ",
+      "ĠØŃاÙĦ ÛĮ",
+      "Ġ é£Ł",
+      "Ġé£ Ł",
+      "ĠL Ãłm",
+      "ĠÚ¯ ست",
+      "ĠТ ип",
+      "ĠТи п",
+      "θ ι",
+      "á vis",
+      "áv is",
+      "ÙIJ ب",
+      "åı¯èĥ½ æĢ§",
+      "ĠÑģем ей",
+      "ãĤī ãĤĮãģ¦ãģĦãĤĭ",
+      "ãĤīãĤĮ ãģ¦ãģĦãĤĭ",
+      "ãĤīãĤĮãģ¦ ãģĦãĤĭ",
+      "ìĥģ íĴĪ",
+      "Ġ οÏħ",
+      "Ġο Ïħ",
+      "Ġà¤ħà¤Ĺ स",
+      "о лом",
+      "ол ом",
+      "оло м",
+      "γ ον",
+      "γο ν",
+      "ĠÑģв ÑıÑī",
+      "ĠÑģвÑı Ñī",
+      "æĵ ¦",
+      "Ïĥ ÏĦηκε",
+      "ÏĥÏĦη κε",
+      "èĢħ çļĦ",
+      "- à¤ķ",
+      "ÑĤ ии",
+      "ÑĤи и",
+      "ĠвизнаÑĩ еннÑı",
+      "åıij åĩº",
+      "д аÑħ",
+      "да Ñħ",
+      "ĠмоÑĢ Ñı",
+      "Ġмо ÑĢÑı",
+      "æī¾ åĪ°",
+      "ÙĦ ÙĪب",
+      "ÙĦÙĪ ب",
+      "èĬ Ļ",
+      "ĠÑĦак ÑĤ",
+      "æ¯į 亲",
+      "id lo",
+      "idl o",
+      "ĠSt ad",
+      "ĠSta d",
+      "Ñį й",
+      "ìĽIJ ìĿ´",
+      "à¤ı न",
+      "æķ´ 个",
+      "Ġf ık",
+      "ĠÙħ ات",
+      "ĠÙħا ت",
+      "ÏĢ ον",
+      "ÏĢο ν",
+      "Ġê²½ 기ëıĦ",
+      "Ġ경기 ëıĦ",
+      "Ġα δ",
+      "Ġvz pom",
+      "Ġn á»ĵi",
+      "ĠÙĨÙĤ اط",
+      "ожд ение",
+      "Ġз алÑĸз",
+      "Ġзал Ñĸз",
+      "Ġr ủi",
+      "è¾ °",
+      ".:.:.:.:.:.:.:.: .:.:.:.:.:.:.:.:",
+      "ĠM Ãľ",
+      "Ġk ari",
+      "Ġka ri",
+      "Ġkar i",
+      "ĠÑģ обÑĭ",
+      "ĠÑģо бÑĭ",
+      "ĠÑģоб Ñĭ",
+      "ìĸ´ ì§Ħ",
+      "ر ÙĬس",
+      "رÙĬ س",
+      "u bu",
+      "ub u",
+      "ĠØ® ÙĦÙģ",
+      "ĠØ®ÙĦ Ùģ",
+      "ظٹ ط",
+      "æĿ ī",
+      "Ġ æĻ®éĢļ",
+      "ĠæĻ® éĢļ",
+      "ĠÙħÙĪاط ÙĨØ©",
+      "ĠÑģÑĤ анÑĥ",
+      "ĠÑģÑĤан Ñĥ",
+      "ĠÑģÑĤа нÑĥ",
+      "Ġê·¸ëħĢ ìĿĺ",
+      "ĠÙĦ Ùĥرة",
+      "ĠÙĦÙĥ رة",
+      "Ġo sm",
+      "Ġos m",
+      "ĠÑĥ ÑĢож",
+      "е га",
+      "ег а",
+      "Ġf else",
+      "Ġfe lse",
+      "Ġfel se",
+      "æĢĿ èĢĥ",
+      "ãĢĮ ãģĪ",
+      "Ġн овиÑħ",
+      "Ġнов иÑħ",
+      "Ġно виÑħ",
+      "๠IJ",
+      "ü ml",
+      "üm l",
+      "ĠíĶ¼ íķ´",
+      "ìĿ¼ ë°ĺ",
+      "Ġtür ü",
+      "ĠмÑĸ ÑģÑĤÑĸ",
+      "ĠмÑĸÑģ ÑĤÑĸ",
+      "ĠмÑĸÑģÑĤ Ñĸ",
+      "Ġkažd é",
+      "ĠÙħس جد",
+      "ấ c",
+      "ĠÙģ Ú©ÛĮ",
+      "Ġ yasal",
+      "Ġy asal",
+      "Ġya sal",
+      "Ġyas al",
+      "å°± ç®Ĺ",
+      "ĠоблиÑĩ ÑĩÑı",
+      "ĠÙĦ دÙĬ",
+      "ĠÙĦد ÙĬ",
+      "ا بات",
+      "اب ات",
+      "ĠÑģп аÑģ",
+      "êµ° ìļĶ",
+      "Ġп ад",
+      "Ġпа д",
+      "Ġб ÑĢаÑĤ",
+      "ĠбÑĢа ÑĤ",
+      "éĩį 大",
+      "Ġdüzen lenen",
+      "G ün",
+      "Ġaplik ace",
+      "à¸Ń ห",
+      "Ġ çħ",
+      "Ġç ħ",
+      "ĠÑģоÑģÑĤ оиÑĤ",
+      "è¯Ħ ä»·",
+      "ĠD uy",
+      "ĠDu y",
+      "Ø· اÙĤ",
+      "ĠпÑĢид еÑĤÑģÑı",
+      "Ġt olik",
+      "Ġto lik",
+      "Ġtol ik",
+      "Ġob rov",
+      "Ġobr ov",
+      "ĠpÅĻip oj",
+      "Ġ Ä±ÅŁÄ±",
+      "Ġı ÅŁÄ±",
+      "Ú¯ ÙĪÛĮ",
+      "Ú¯ÙĪ ÛĮ",
+      "æľŁ å¾ħ",
+      "ип лом",
+      "Ġ ince",
+      "Ġin ce",
+      "Ġi nce",
+      "Ġinc e",
+      "ĠС об",
+      "ĠСо б",
+      "ен ÑĮÑİ",
+      "енÑĮ Ñİ",
+      "è§Ĵ èī²",
+      "Ġ à¸ķร",
+      "Ġà¸ķ ร",
+      "Ġb ại",
+      "Ġê°ĢëĬ¥ íķľ",
+      "ĠblÃŃ zk",
+      "Ġt ách",
+      "Ġtá ch",
+      "Ġtác h",
+      "Ġвид Ñĭ",
+      "Ġви дÑĭ",
+      "и Ñĩна",
+      "иÑĩ на",
+      "Ġvyž ad",
+      "ĠìĨIJ ìĿĦ",
+      "ĠÐĿ ÑĸмеÑĩ",
+      "ĠÐĿÑĸ меÑĩ",
+      "åŁº äºİ",
+      "ĠÐļ ÑĢи",
+      "Ġعز ÛĮز",
+      "t iler",
+      "til er",
+      "ti ler",
+      "tile r",
+      "е вÑĸ",
+      "ев Ñĸ",
+      "Ġmož nosti",
+      "Ġmožnost i",
+      "ب از",
+      "با ز",
+      "ĠìĤ¬ ë§Ŀ",
+      "Ġz ÅĻejmÄĽ",
+      "íĹ ¤",
+      "Ġürün leri",
+      "ĠÎł λη",
+      "а ки",
+      "ак и",
+      "ãĤĴ éĸĭ",
+      "a nou",
+      "an ou",
+      "ano u",
+      "åĽ½ ãģ®",
+      "ĠyaÅŁ anan",
+      "ĠyaÅŁan an",
+      "ĠÑģ евеÑĢ",
+      "Ġ æ©Ł",
+      "Ġæ© Ł",
+      "มาà¸ģ มาย",
+      "Ġíijľ íĺĦ",
+      "ร ส",
+      "Ġض ربÙĩ",
+      "Ġضر بÙĩ",
+      "ĠE vet",
+      "ĠEv et",
+      "ĠEve t",
+      "æĨ ¶",
+      "Ġد ÙĤÛĮÙĤ",
+      "ĠدÙĤÛĮ ÙĤ",
+      "Ġвозник нов",
+      "ìľł 머",
+      "Ġíijľ ìĭľ",
+      "ÛĮ Ø´ÙĨ",
+      "ÛĮØ´ ÙĨ",
+      "ãĥĹ ãĥ©",
+      "ÑĤ Ñİ",
+      "ÙĪ سÛĮ",
+      "ÙĪس ÛĮ",
+      ") ìĿ´",
+      "è¯ģ æĺİ",
+      "ãģ§ãģį ãģ¾ãģĻ",
+      "ìĪĺ ìĿĺ",
+      "çĸ Ĩ",
+      "ĠÙħ ÙģÙĩÙĪÙħ",
+      "оÑĩ аÑĤкÑĥ",
+      "ाल à¤ķ",
+      "æ¡ Ĥ",
+      "ĠоÑħ оÑĢони",
+      "ĠارزÛĮ ابÛĮ",
+      "Ġìµľ ëĮĢ",
+      "Ġtho ải",
+      "ĠЦенÑĤ ÑĢалÑĮ",
+      "Ġ çķĻ",
+      "Ġçķ Ļ",
+      "à¸Ľà¸£à¸° à¹Ģà¸łà¸Ĺ",
+      "æµ· å¤ĸ",
+      "ĠÅŀ u",
+      "íĻľ ëıĻ",
+      "ĠdvÄĽ ma",
+      "istrov stvÃŃ",
+      "Ġarac ılıģıyla",
+      "Ġtr á»Ļn",
+      "» :",
+      "íĭ ±",
+      "ĠÙĦÛĮ Ú¯",
+      ". Ðļ",
+      "ĠÙħÙĤ اÛĮسÙĩ",
+      "Ġв мÑĸ",
+      "ر ÙĪب",
+      "رÙĪ ب",
+      "ĠاÙĦ Ø´Ùħ",
+      "ĠاÙĦØ´ Ùħ",
+      "Ġden nÄĽ",
+      "Ġdenn ÄĽ",
+      "Ñĥ Ñĩа",
+      "ÑĥÑĩ а",
+      "åħ ¹",
+      "Ñī им",
+      "Ñīи м",
+      "ĠíĬ¹ íŀĪ",
+      "ĠاستاÙĨد ارد",
+      "à¥Ģ ध",
+      "ãĤ¸ ãĤ¢",
+      "à¹ĩ à¹ĩ",
+      "иÑģ Ñģ",
+      "Ġkazan ç",
+      "ĠzÃŃsk al",
+      "åĽŀ æĿ¥",
+      "Ġп ÑıÑĤÑĮ",
+      "ĠпÑıÑĤ ÑĮ",
+      "ĠÄij ãi",
+      "ĠÄijã i",
+      "Ġ ÙĪرد",
+      "ĠÙĪ رد",
+      "ĠÙĪر د",
+      "Ġ ìķķ",
+      "Ġìķ ķ",
+      "ุ à¸Ĺร",
+      "ุà¸Ĺ ร",
+      "åĬ¨ çī©",
+      "Ġp ublik",
+      "Ġpub lik",
+      "Ġpubli k",
+      "æĪIJ æľ¬",
+      "æĪIJ åijĺ",
+      "ãĤ¤ ãĤ¯",
+      "شر ÙĥØ©",
+      "á¿Ĩ ÏĤ",
+      "Ġy ola",
+      "Ġyo la",
+      "Ġyol a",
+      "üyor uz",
+      "Ġк ÑĥÑĢи",
+      "ĠкÑĥÑĢ и",
+      "ĠкÑĥ ÑĢи",
+      "ĠпоÑħ ож",
+      "Ġìłľ ê°Ģ",
+      "िय त",
+      "ائ ÙĦØ©",
+      "ائÙĦ Ø©",
+      "Ġ ãģ¾",
+      "़ à¥ĩà¤Ĥ",
+      "़à¥ĩ à¤Ĥ",
+      "ÑģÑĮ кими",
+      "ÑģÑĮк ими",
+      "ÑģÑĮким и",
+      "âĢľ ä½ł",
+      "imiz de",
+      "ìµľ ìĭł",
+      "Ạ¬",
+      "è Ł",
+      "à¸Ħ รà¸Ńà¸ļ",
+      "à¸Ħร à¸Ńà¸ļ",
+      "ãĢĢ ãĢĢãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢ ãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢãĢĢ ĠãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢãĢĢĠãĢĢ ĠãĢĢĠãĢĢ",
+      "ãĢĢãĢĢãĢĢĠãĢĢĠãĢĢ ĠãĢĢ",
+      "ت غ",
+      "ĠVÅ¡ ech",
+      "à¸±à¸Ľ à¸Ķาห",
+      "Ġa td",
+      "Ġat d",
+      "в оÑİ",
+      "во Ñİ",
+      "Ġyap ım",
+      "Ġyapı m",
+      "olog ické",
+      "ologic ké",
+      "Ġп лен",
+      "Ġпл ен",
+      "Ġlaz ım",
+      "r ung",
+      "ru ng",
+      "run g",
+      "ìĦľ ê´Ģ",
+      "Ġji ný",
+      "Ġjin ý",
+      "Ġtr òn",
+      "Ġtrò n",
+      "ĠполÑĸÑĤи ки",
+      "ا ÙĥÙħ",
+      "اÙĥ Ùħ",
+      "دÛĮ گر",
+      "à¥Īà¤Ĥ .Ċ",
+      "à¥Īà¤Ĥ. Ċ",
+      "Ġ اÙĩد",
+      "Ġا Ùĩد",
+      "ĠاÙĩ د",
+      "Ġ ãĥį",
+      "Ġãĥ į",
+      "ĠпÑĢодÑĥк ÑĤов",
+      "ĠпÑĢодÑĥкÑĤ ов",
+      "æĤ Ł",
+      "ĠpÅĻÃŃpad ech",
+      "ĠzaÄį ala",
+      "ĠzaÄįal a",
+      "åħ¥ ãĤĮ",
+      "ĠÑĢÑĸв нÑĸ",
+      "æĦŁ æĥħ",
+      "ĠΧ α",
+      "ì £½",
+      "ì£ ½",
+      "ิà¸Ī ารà¸ĵ",
+      "Âł б",
+      "Ñĸ ÑĹв",
+      "ÑĸÑĹ Ð²",
+      "ب ش",
+      "çļĦ éĹ®é¢ĺ",
+      "Ġza stup",
+      "Ġzast up",
+      "볤 ìļĶ",
+      "ãģ§ãģĻ ãģŃ",
+      "âĢĮ داÙĨ",
+      "âĢĮد اÙĨ",
+      "ï¼Į æĤ¨",
+      "Ġu vÄĽdom",
+      "ãģ¦ ãĤĭ",
+      "ìĤ¬ ëŀĮ",
+      "l un",
+      "lu n",
+      "éĽĨ åIJĪ",
+      "ë§ ¹",
+      "Ġž id",
+      "Ġži d",
+      "ठĬ",
+      "Ġt rp",
+      "Ġtr p",
+      "л ениÑħ",
+      "лен иÑħ",
+      "ле ниÑħ",
+      "＿ __",
+      "＿_ _",
+      "Ðľ Ðŀ",
+      "å¼ ĭ",
+      "λÎŃ Î¿Î½",
+      "ĠÄij òi",
+      "Ġк ÑĢок",
+      "lay ıcı",
+      "ì¶ľìŀ¥ ë§ĪìĤ¬ì§Ģ",
+      "åij Ī",
+      "éľ ŀ",
+      "Ġпо глÑıд",
+      "Ġпог лÑıд",
+      "ت رÙĥ",
+      "تر Ùĥ",
+      "ĠتÙģ اÙĪت",
+      "Ġ å®®",
+      "Ġå® ®",
+      "ĠدÙĪر بÛĮÙĨ",
+      "æĶ¾ åľ¨",
+      "ĠÑģлÑĥÑĩа ев",
+      "ĠÑģлÑĥÑĩае в",
+      "ĠÏħÏĢ ηÏģε",
+      "ë§ ŀ",
+      "ãģĻ ãģĻ",
+      "ê²ł ëĭ¤",
+      "ราย à¸ģาร",
+      "ĠÏĢ Ïģιν",
+      "ĠÑģ меÑĪ",
+      "ĠÑģм еÑĪ",
+      "å§ ī",
+      "Ġvýsled ky",
+      "Ġpot vr",
+      "åıij è¡Į",
+      "Ġt úi",
+      "Ġtú i",
+      "ĠìĤ¬ ëĿ¼",
+      "ç«Ļ åľ¨",
+      "Ġja ký",
+      "Ġjak ý",
+      "Ġ à¸ļาà¸ĩ",
+      "Ġà¸ļ าà¸ĩ",
+      "Ġdik kate",
+      "Ġdikkat e",
+      "Ġدر Ø¢Ùħد",
+      "æİĴ åIJį",
+      "r álnÃŃ",
+      "rál nÃŃ",
+      "ê³¼ ìĿĺ",
+      "ä½ µ",
+      "о лаг",
+      "ол аг",
+      "ола г",
+      "is iyle",
+      "isi yle",
+      "Ġ æ½",
+      "Ġæ ½",
+      "Ġ तम",
+      "Ġत म",
+      "Ġd ij",
+      "Ġdi j",
+      "Ġnh ánh",
+      "ĠR ek",
+      "ĠRe k",
+      "设 æĸ½",
+      "ĠpodmÃŃn ek",
+      "并 ä¸į",
+      "к ÑĥÑĤ",
+      "кÑĥ ÑĤ",
+      "Ġê³ł 볤",
+      "çļĦ å£°éŁ³",
+      "æĪĺ äºī",
+      "д аÑı",
+      "да Ñı",
+      "Ġê´Ģ ìĭ¬",
+      "ĠÑĦÑĸн анÑģ",
+      "ĠK öy",
+      "ĠKö y",
+      "Ġж ал",
+      "ĠÑģлÑĥж би",
+      "м ена",
+      "мен а",
+      "ме на",
+      "ت ÙĬار",
+      "تÙĬ ار",
+      "ĠÑĩем пион",
+      "ÏĢ ιÏĥ",
+      "ÏĢι Ïĥ",
+      "landır ma",
+      "mak tan",
+      "makta n",
+      "makt an",
+      "Ġ 丶",
+      "Ġä¸ ¶",
+      "à¹Ī à¸Ńส",
+      "à¹Īà¸Ń ส",
+      "ĠmÃ¼ÅŁ teri",
+      "ĠmÃ¼ÅŁter i",
+      "Ġص ÙĨد",
+      "ĠصÙĨ د",
+      "Ġet mesi",
+      "Ġetm esi",
+      "Ġetme si",
+      "Ġп оÑĢÑĤ",
+      "ĠпоÑĢ ÑĤ",
+      "ν ονÏĦαι",
+      "νον ÏĦαι",
+      "Ġ ãħĭãħĭ",
+      "ĠK AR",
+      "ĠKA R",
+      "Ġ uch",
+      "Ġu ch",
+      "Ġuc h",
+      "ĠØ® ÙĦÙĤ",
+      "ĠØ®ÙĦ ÙĤ",
+      "าษà¸İ ร",
+      "æŃ ¡",
+      "Ġи мени",
+      "Ġим ени",
+      "Ġиме ни",
+      "ãģł ãģijãģ©",
+      "ãģłãģij ãģ©",
+      "Ġìĭ¤ ìĭľ",
+      "ÏĥÏī ÏĢ",
+      "Ġ ì£",
+      "Ġì £",
+      "t ÄĽÅ¾",
+      "tÄĽ ž",
+      "Ġözel likleri",
+      "Ġözellik leri",
+      "Ġözellikle ri",
+      "Ġب Ù¾",
+      "Ġиз обÑĢаж",
+      "ÙĬÙħ ÙĥÙĨ",
+      "Ġ ãĥĶ",
+      "Ġãĥ Ķ",
+      "ĠÐĶ ив",
+      "ĠÐĶи в",
+      "ĠØ¥ ÙĬ",
+      "Ùĥ ÙĬÙĦ",
+      "ÙĥÙĬ ÙĦ",
+      "ĠÅŁ ik",
+      "ĠÅŁi k",
+      "Ġà¤Ĩ à¤ĸ",
+      "lar ınızı",
+      "ların ızı",
+      "larını zı",
+      "larınız ı",
+      "ĠвÑĸд ÑĢÑĸз",
+      "ĠÑĢоб оÑĤа",
+      "ĠÑĢобоÑĤ а",
+      "Ġta rif",
+      "Ġtar if",
+      "Ġ اÙĪت",
+      "Ġا ÙĪت",
+      "ĠاÙĪ ت",
+      "ın ma",
+      "é£Ł ãģ¹",
+      "Ġuzav ÅĻ",
+      "ë£ ¸",
+      "çĽij çĿ£",
+      "Ġ: ï¼¼",
+      "θ Ïħν",
+      "θÏħ ν",
+      "à¸Ķ ร",
+      "a larından",
+      "alar ından",
+      "aların dan",
+      "alarında n",
+      "èĩª æĭį",
+      "Ġro ÄįnÃŃ",
+      "ाà¤ĩ व",
+      "Ġ ÙĥÙĪر",
+      "ĠÙĥ ÙĪر",
+      "ĠÏĦ αιν",
+      "ĠÏĦα ιν",
+      "ĠÑĸн див",
+      "r ve",
+      "rv e",
+      "ĠνεÏĨ ÏİÏĥειÏĤ",
+      "Ġb á»ijn",
+      "Ġbá»ij n",
+      "Ġ å¿«",
+      "Ġå¿ «",
+      "ĠÑģ олÑĮ",
+      "ĠÑģо лÑĮ",
+      "ĠÑģол ÑĮ",
+      "li ÄŁinde",
+      "liÄŁi nde",
+      "liÄŁ inde",
+      "liÄŁin de",
+      "िन à¤Ł",
+      "a htar",
+      "ah tar",
+      "Ġneb ezpeÄį",
+      "æĹ¢ çĦ¶",
+      "ĠëĮĢ ìłĦ",
+      "ĠÙĨÚ¯Ùĩد ارÛĮ",
+      "ĠzÃŃsk at",
+      "Ġнали Ñĩие",
+      "ĠналиÑĩи е",
+      "Ġ aks",
+      "Ġa ks",
+      "Ġak s",
+      "ï¼ī ãĢĤĊĊ",
+      "ï¼īãĢĤ ĊĊ",
+      "ï¼īãĢĤĊ Ċ",
+      "Ġrod iny",
+      "Ġrodin y",
+      "Ġrodi ny",
+      "Ġза ÑħÑĸд",
+      "ĠзаÑħ Ñĸд",
+      "å¾® ç¬ij",
+      "ÂłÐĶ а",
+      "r adu",
+      "ra du",
+      "rad u",
+      "ī nh",
+      "p les",
+      "pl es",
+      "ple s",
+      "ĠK ons",
+      "ĠKon s",
+      "ĠKo ns",
+      "ิ à¹Ĥล",
+      "ิà¹Ĥ ล",
+      "ĠاÙĦ ÙĪص",
+      "ĠاÙĦÙĪ ص",
+      "åIJ¬ åĪ°",
+      "ĠÑģпоÑĢ ÑĤив",
+      "ĠÑģ айÑĤе",
+      "ĠÑģай ÑĤе",
+      "Ġ اظ",
+      "Ġا ظ",
+      "ĠØ§Ø ¸",
+      "lar ındaki",
+      "ların daki",
+      "larında ki",
+      "Ġtá»ķ n",
+      "ÐĿ ÐĨ",
+      "Ġned ost",
+      "ĠÑĤоÑĢ гÑĸв",
+      "Ġ اÛĮت",
+      "Ġا ÛĮت",
+      "ĠاÛĮ ت",
+      "Ġاختص اص",
+      "ĠÃľ y",
+      "ĠS adece",
+      "ĠSad ece",
+      "ĠÙħØ® رÙĪØ·",
+      "Ä ģn",
+      "Äģ n",
+      "ç esi",
+      "çe si",
+      "Ġ çĬ",
+      "Ġç Ĭ",
+      "ãĤĤ ãģ£ãģ¨",
+      "Ġ éŁĵ",
+      "ĠéŁ ĵ",
+      "èµ ĸ",
+      "ĠполÑĥÑĩ ениÑı",
+      "Ġë ĺ",
+      "âĢĻ ÑĹ",
+      "b ÃŃr",
+      "bÃŃ r",
+      "Ġб ÑĸблÑĸ",
+      "ĠD á»±",
+      "же неÑĢ",
+      "жен еÑĢ",
+      "ç½ij åĪĬ",
+      "Ġल à¥ľà¤ķ",
+      "ĠÑĥÑĩ нÑĸв",
+      "èĪ °",
+      "ĠÃĸÄŁ ren",
+      "Ġ ola",
+      "Ġo la",
+      "Ġol a",
+      "Ġ। âĢĿĊĊ",
+      "ระ à¹Ģà¸ļ",
+      "á½ ²",
+      "Ġ رز",
+      "Ġر ز",
+      "е и",
+      "еР¸",
+      "Ñı Ñĩи",
+      "ÑıÑĩ и",
+      "ØŃ Ø¨",
+      "æĴ ¤",
+      "ãģ¾ãģŁ ãģ¯",
+      "б ина",
+      "би на",
+      "бин а",
+      "ĠÎł εÏģ",
+      "ĠоÑĤноÑģ иÑĤÑģÑı",
+      "åīį çļĦ",
+      "Ġ Å¡Å¥",
+      "ĠÅ¡ Å¥",
+      "Ġyıl da",
+      "Ġyı lda",
+      ": ::::|",
+      ":: :::|",
+      ":::: :|",
+      "::: ::|",
+      "::::: |",
+      "us til",
+      "ust il",
+      "اÙĦ Ø¥",
+      "ĠsouÄįas né",
+      "ĠÙĨÛĮ رÙĪÛĮ",
+      "ĠÙĨÛĮر ÙĪÛĮ",
+      "ĠÙĨÛĮرÙĪ ÛĮ",
+      "ÑĩеÑģ кое",
+      "Ñĩе Ñģкое",
+      "ظ Ùģ",
+      "ĠÙ¾ÛĮØ´ ÛĮÙĨÙĩ",
+      "Ġع ÙģØ´",
+      "Ġrost lin",
+      "ç½ijåĪĬ ä¸ĭ载次æķ°",
+      "ĠпÑĢигоÑĤов иÑĤÑĮ",
+      "ãĥ Į",
+      "ĠÙĪ Ùħع",
+      "ĠÙĪÙħ ع",
+      "Ġb ecer",
+      "Ġbe cer",
+      "Ġbec er",
+      "Ġ ãĤ±",
+      "ĠãĤ ±",
+      "Ïĩ ήÏĤ",
+      "Ïĩή ÏĤ",
+      "о ÑģÑĤÑĥп",
+      "оÑģÑĤ Ñĥп",
+      "Ġë°ľ 매",
+      "Ñĸй ного",
+      "Ñĸйно го",
+      "Ġh rd",
+      "Ġhr d",
+      "ĠпÑĢепаÑĢа ÑĤÑĭ",
+      "ĠÙģ رض",
+      "ĠÙģر ض",
+      "ĠTy to",
+      "Ġ кÑĢаÑĹн",
+      "ĠкÑĢаÑĹ Ð½",
+      "Ġز اد",
+      "Ġikt idar",
+      "ì§ ĵ",
+      "Ùij ر",
+      "ÑĢÑı дÑĥ",
+      "ÑĢÑıд Ñĥ",
+      "к Ñĸй",
+      "кÑĸ й",
+      "âĶ £",
+      "Ġко жи",
+      "Ġкож и",
+      "Ġت ازÙĩ",
+      "Ġتا زÙĩ",
+      "o bec",
+      "ob ec",
+      "obe c",
+      "in ae",
+      "ina e",
+      "Ġvyj ád",
+      "Ġ رÙģتÙĩ",
+      "Ġر ÙģتÙĩ",
+      "ĠرÙģت Ùĩ",
+      "ĠرÙģ تÙĩ",
+      "Щ о",
+      "ĠBy lo",
+      "ĠByl o",
+      "оÑĤ в",
+      "ĠденÑĮ ги",
+      "é§ Ĩ",
+      "Ġма ÑĪин",
+      "ĠмаÑĪ ин",
+      "ĠмаÑĪи н",
+      "ĠØ£ ج",
+      "ì´Ī ëĵ±íķĻêµIJ",
+      "dı ģında",
+      "dıģı nda",
+      "dıģ ında",
+      "б аÑģ",
+      "ба Ñģ",
+      "Ġ æł¹",
+      "Ġæł ¹",
+      "ÎijÎĿ Τ",
+      "ÙĴ ØŃ",
+      "Ġjejich ž",
+      "ìĹIJìĦľ ìĿĺ",
+      "Ġад же",
+      "Ġì ı",
+      "Ïĥ οÏħ",
+      "Ïĥο Ïħ",
+      "et leri",
+      "etler i",
+      "Ġبعد ÛĮ",
+      "Ġبع دÛĮ",
+      "ĠìŀIJëıĻ ì°¨",
+      "ิà¸į à¸į",
+      "Ġt isk",
+      "Ġti sk",
+      "ãĥ¼ ãĤ¹ãĥĪ",
+      "ãĥ¼ãĤ¹ ãĥĪ",
+      "Ġमत लब",
+      "ê³Ħ íļį",
+      "ãĤ¦ ãĥĪ",
+      "Ġ à¹Ģมà¸ķร",
+      "Ġà¹Ģม à¸ķร",
+      "Ġop siyon",
+      "Ġops iyon",
+      "ĠÑĢав но",
+      "ĠبÛĮ ÙħÙĩ",
+      "ĠبÛĮÙħ Ùĩ",
+      "Ġ먼 ìłĢ",
+      "иÑĤелÑĮ нÑĭм",
+      "ĠнÑĸ би",
+      "Ġде ÑģÑıÑĤ",
+      "ĠдеÑģÑı ÑĤ",
+      "ĠÑģиÑĤÑĥа ÑĨии",
+      "еÑĢ ÑĪе",
+      "еÑĢÑĪ е",
+      "Ä ¾",
+      "ุ à¸ķร",
+      "ุà¸ķ ร",
+      "Ġyönet imi",
+      "Ġyönetim i",
+      "éIJ ĺ",
+      "ĠÙħÛĮ تÙĪاÙĨ",
+      "Ġز ÙĨدÙĩ",
+      "ĠزÙĨ دÙĩ",
+      "ĠزÙĨد Ùĩ",
+      "ãĥŃ ãĥ³",
+      "ĠK BS",
+      "ĠKB S",
+      "ìĦľ ë¹ĦìĬ¤",
+      "ï» ł",
+      "eck ého",
+      "ecké ho",
+      "ĠÙĤابÙĦ ÛĮت",
+      "ĠÙĤاب ÙĦÛĮت",
+      "ãĢĤ ä»Ĭ",
+      "ÃŃ nÄĽ",
+      "ÃŃn ÄĽ",
+      "ĠÑģм ог",
+      "ĠÑģл ÑĭÑĪ",
+      "ÙĴ Ùģ",
+      "po ÅĻád",
+      "елÑĮ но",
+      "Ġεί Ïĩαν",
+      "-ÐŁ еÑĤеÑĢб",
+      "ĠCh iến",
+      "ĠChi ến",
+      "é ry",
+      "ér y",
+      "ĠÑĸн ÑģÑĤиÑĤÑĥÑĤ",
+      "ç»Ĩ èĥŀ",
+      "Ñĭ ÑŁN",
+      "Ġv ua",
+      "Ġvu a",
+      "Ġà¤ħ श",
+      "ÑĢоÑģ ÑĤо",
+      "ÑĢоÑģÑĤ о",
+      "Ġvů Äįi",
+      "ë ¿IJ",
+      "Ġl iá»ĩt",
+      "Ġíķ µ",
+      "Ġ اÙģر",
+      "Ġا Ùģر",
+      "ĠاÙģ ر",
+      "ĠTek nik",
+      "Ġr oli",
+      "Ġro li",
+      "Ġrol i",
+      "Ġпоп ÑĭÑĤ",
+      "аÑĤ кÑĸв",
+      "Ġün iversit",
+      "аÑĤ оÑĢÑĭ",
+      "аÑĤоÑĢ Ñĭ",
+      "аÑĤо ÑĢÑĭ",
+      "ÑİÑīиÑħ ÑģÑı",
+      "Ġت ض",
+      "лÑİ ÑĩаеÑĤÑģÑı",
+      "лÑİÑĩ аеÑĤÑģÑı",
+      "лÑİÑĩа еÑĤÑģÑı",
+      "Ġíĸī ë³µ",
+      "Ġayrıntı lı",
+      "ĠкиÑĢ п",
+      "æĭ ¼",
+      "ëģ Ķ",
+      "л аÑĤа",
+      "ла ÑĤа",
+      "лаÑĤ а",
+      "Ġkho án",
+      "Ġhâl â",
+      "Ïĥ Ïħ",
+      "ог лаÑģ",
+      "æİ¥ çĿĢ",
+      "éĿ© åij½",
+      "Ġp ÅĻeb",
+      "ĠpÅĻ eb",
+      "ĠpÅĻe b",
+      "à¹Ģà¸ī ล",
+      "ĠاÙĦÙħÙĦ ÙĦÛĮ",
+      "åł Ĩ",
+      "íı IJ",
+      "à¸ķล à¸Ńà¸Ķ",
+      "° С",
+      "ìĤ¬ ëŀij",
+      "Ġг иб",
+      "ë²Ī 째",
+      "æĶ¹ åıĺ",
+      "表 çİ°",
+      "и ÑĩеÑģким",
+      "иÑĩеÑģ ким",
+      "иÑĩеÑģки м",
+      "สม à¹Ģà¸Ķ",
+      "å±ħ æ°ij",
+      "Â Ľ",
+      "ĠìķĦìĿ´ ëĶĶ",
+      "ĠмеждÑĥ наÑĢод",
+      "Ġy em",
+      "Ġye m",
+      "Ġm ül",
+      "Ġmü l",
+      "Ġا ÛĮست",
+      "ĠاÛĮ ست",
+      "Ġ ãĥ´",
+      "Ġãĥ ´",
+      "ัà¸Ļ à¹Ħà¸Ķ",
+      "à¥Ģ ण",
+      "åħ¶ å®ŀ",
+      "Ġgel enek",
+      "Ġgele nek",
+      "Ġgelen ek",
+      "ë¶ģ ëıĦ",
+      "à¹ī าà¸ķ",
+      "à¹īา à¸ķ",
+      "Ġ ìī¬",
+      "Ġìī ¬",
+      "Ġ ÏĢÎŃ",
+      "ĠÏĢ ÎŃ",
+      "ĠÙĥ اÙħÙĦ",
+      "ĠÙĥاÙħ ÙĦ",
+      "Ġتع ÙħÛĮر",
+      "è¨ ´",
+      "ë¹ Ļ",
+      "iy im",
+      "iyi m",
+      "å° ¿",
+      "éĤ£ æł·",
+      "êµŃ ìĿĺ",
+      "ãģĹãģ¦ ãģĬãĤĬ",
+      "Ġ niž",
+      "Ġn iž",
+      "Ġni ž",
+      "Ġκ ον",
+      "Ġκο ν",
+      "à¹Ī าà¸Ń",
+      "à¹Īา à¸Ń",
+      "Ġ γε",
+      "Ġγ ε",
+      "ĠС евеÑĢ",
+      "edi álnÃŃ",
+      "ãģŁãģ¡ ãģ®",
+      "m ayacak",
+      "may acak",
+      "maya cak",
+      "Ñ Ļ",
+      "ĠÑĥ гл",
+      "ĠÑĥг л",
+      "Ġk apas",
+      "Ġka pas",
+      "Ġkap as",
+      "Ñĥв алиÑģÑı",
+      "Ñĥва лиÑģÑı",
+      "Ñĥвали ÑģÑı",
+      "ĠмеÑģÑı ÑĨа",
+      "á» ¯u",
+      "ữ u",
+      "ิ ลล",
+      "ิล ล",
+      "ãĤĪãĤĬ ãĤĤ",
+      "à¥ĩ ण",
+      "à¥ĩठ£",
+      "Ġ 客",
+      "Ġå® ¢",
+      "ĠdeÄŁ erli",
+      "ĠdeÄŁer li",
+      "ÙĪ از",
+      "ÙĪا ز",
+      "ี à¸Ńย",
+      "ีà¸Ń ย",
+      "Ġ åıĪ",
+      "Ġåı Ī",
+      "Ġ à¸Ķร",
+      "Ġà¸Ķ ร",
+      "ĠÙĨ اب",
+      "ĠتÙĦÙĪÛĮزÛĮ ÙĪÙĨ",
+      "Ġol anlar",
+      "Ġolan lar",
+      "ä¼ĺ ç§Ģ",
+      "Ùĥ اÙĦ",
+      "ĠдеÑģÑı ÑĤи",
+      "ĠдеÑģÑıÑĤ и",
+      "m án",
+      "má n",
+      "ĠÑĢ анÑĮ",
+      "ĠÑĢа нÑĮ",
+      "ĠÑĢан ÑĮ",
+      "Ġìłľ ì¶ľ",
+      "è³ ¢",
+      "а бо",
+      "аб о",
+      "Ġtechn ik",
+      "Ġtech nik",
+      "ĠK iá»ĥm",
+      "ĠKi á»ĥm",
+      "t eki",
+      "te ki",
+      "tek i",
+      "á ¹",
+      "Ġm nÄĽ",
+      "Ġmn ÄĽ",
+      "Ġê³µ ê°Ħ",
+      "ĠM ek",
+      "ĠMe k",
+      "Ġاع تÙħاد",
+      "à¹Į à¹Ħà¸Ķ",
+      "ε ÏģÏĮ",
+      "εÏģ ÏĮ",
+      "ĠÑĥд аÑĢ",
+      "ĠÑĥда ÑĢ",
+      "оÑĩ ÑĮ",
+      "æ¦Ĥ 念",
+      "ÑĢ ал",
+      "ÑĢаР»",
+      "ÑĢа л",
+      "алÑĮ нÑĭми",
+      "алÑĮнÑĭм и",
+      "à¥ģर स",
+      "r áci",
+      "rá ci",
+      "Ġ ÙĤÙĪÙĦ",
+      "ĠÙĤ ÙĪÙĦ",
+      "Ġद व",
+      "ĠпÑĢав да",
+      "Ġ å¿ħ",
+      "Ġå¿ ħ",
+      "Ġdos ud",
+      "нÑĥ ÑĤÑĮÑģÑı",
+      "нÑĥÑĤÑĮ ÑģÑı",
+      "N Äĥm",
+      "à¸ĺ à¸Ļ",
+      "Ġdok un",
+      "Ġ åľ¨çº¿",
+      "Ġåľ¨ 线",
+      "ู à¹Ħ",
+      "ụ y",
+      "Ġн овÑĭÑħ",
+      "Ġнов ÑĭÑħ",
+      "Ġmez un",
+      "ĠC ần",
+      "à¸ģาร à¸ŀ",
+      "ĠìĺĪ ìłķ",
+      "Ïĥ ή",
+      "à¹Īà¸Ļ à¹Ģà¸ģม",
+      "ĠÙĪ اÙĦس",
+      "ĠÙĪاÙĦ س",
+      "ĠÙĪا ÙĦس",
+      "ãĥ³ ãĥĨãĤ£",
+      "ãĥ³ãĥĨ ãĤ£",
+      "çľĭ è§ģ",
+      "Ġس اÙĦÙħ",
+      "ĠساÙĦ Ùħ",
+      "ĠбагаÑĤÑĮ оÑħ",
+      "ĠÄij Ãłi",
+      "Ġد ستÛĮ",
+      "Ġدست ÛĮ",
+      "Ġدس تÛĮ",
+      "à¸ŀ à¸Ń",
+      "еп ÑĤи",
+      "ĠìłĦ íĻĶ",
+      "æĻĤ ãģ«",
+      "ĠSe znam",
+      "ĠSez nam",
+      "мÑĸ нÑĥ",
+      "мÑĸн Ñĥ",
+      "; ?#",
+      "à¥Ģ सर",
+      "à¥Ģस र",
+      "ĠÚĨ ÛĮست",
+      "νο ια",
+      "νοι α",
+      "ั à¸Ļà¸Ń",
+      "ัà¸Ļ à¸Ń",
+      "Ġ à¸Ħำ",
+      "Ġà¸Ħ ำ",
+      "Ġë³´ íĺ¸",
+      "Ġid dia",
+      "Ġiddi a",
+      "Ġβ ιβ",
+      "é«ĺ ä¸Ń",
+      "Ù ¨",
+      "ÐĴ аж",
+      "ĠиÑģп олн",
+      "ÑĪ ÑĤов",
+      "ÑĪÑĤ ов",
+      "ĠT aÅŁ",
+      "ĠTa ÅŁ",
+      "ìĽ ħ",
+      "åĬ ¹",
+      "Ġ åıĥ",
+      "Ġåı ĥ",
+      "Ġprost oru",
+      "Ġprostor u",
+      "ĠÑģп ад",
+      "е ÑĢина",
+      "еÑĢ ина",
+      "еÑĢи на",
+      "еÑĢин а",
+      "ĠpÅĻek lad",
+      "ĠpÅĻe klad",
+      "Å¡ ov",
+      "ĠÙģ ÙĩÙħ",
+      "ĠÙģÙĩ Ùħ",
+      "æĬ ij",
+      "Ġابت دا",
+      "Ġابتد ا",
+      "ãĤĴ ãģĬ",
+      "l ikler",
+      "lik ler",
+      "likle r",
+      "ĠÙħ اÙĥ",
+      "ĠÙħا Ùĥ",
+      "Ġko nut",
+      "Ġkon ut",
+      "Ġkonu t",
+      "ĠداÙĨØ´ جÙĪÛĮ",
+      "Ġоп ÑĤим",
+      "Ġб Ñĥма",
+      "ĠбÑĥ ма",
+      "ĠлÑİд Ñıм",
+      "Ġл Ñĸка",
+      "ĠлÑĸ ка",
+      "ĠлÑĸк а",
+      "ĠÑĢоз повÑĸд",
+      "ĠÑĢозп овÑĸд",
+      "ĠÑĢозпов Ñĸд",
+      "nes enÃŃ",
+      "Ġ à¸łà¸²à¸ŀ",
+      "Ġà¸ł าà¸ŀ",
+      "и Ñĩний",
+      "иÑĩ ний",
+      "ا Ø·ÙĦ",
+      "اط ÙĦ",
+      "Ñİ Ñīими",
+      "ÑİÑī ими",
+      "ÑİÑīим и",
+      "ãģı ãģ¨",
+      "éŃ ¯",
+      "ĠجÙĨ سÛĮ",
+      "Ðĺ Т",
+      "र ल",
+      "ĠÚ©ÙĪد Ú©",
+      "о лиÑĤ",
+      "ол иÑĤ",
+      "оли ÑĤ",
+      "ĠÑģÑĤÑĢÑĥкÑĤÑĥ ÑĢ",
+      "ve kili",
+      "vek ili",
+      "Ġब य",
+      "Ġgel miÅŁ",
+      "िर फ",
+      "Ġнай кÑĢа",
+      "ĠÐĶж он",
+      "Ġ ãĥĹãĥŃ",
+      "ĠãĥĹ ãĥŃ",
+      "ĠyaÅŁ lı",
+      "Ġkar Ä±ÅŁtır",
+      "ĠkarÄ±ÅŁ tır",
+      "ĠvÄĽtÅ¡ inou",
+      "Ġvaz geç",
+      "à¹ī าà¸Ħ",
+      "à¹īา à¸Ħ",
+      "lendir me",
+      "Ġ ç¨ĭ",
+      "Ġç¨ ĭ",
+      "说 è¯Ŀ",
+      "ĠíķĦìļĶ íķľ",
+      "aÅĻ ilo",
+      "Ġle žÃŃ",
+      "ĠAmer ikan",
+      "ĠAmerika n",
+      "ĠAmerik an",
+      "ãĤĦ ãģĻ",
+      "va jÃŃcÃŃ",
+      "vajÃŃ cÃŃ",
+      "ÐĿ Я",
+      "ĠìĹĦ ë§Ī",
+      "Ġ åĥ",
+      "Ġå ĥ",
+      "r ál",
+      "rá l",
+      "Ġç ay",
+      "Ġça y",
+      "tu ÄŁ",
+      "ุà¸į าà¸ķ",
+      "ĠÑģ лив",
+      "ĠÑģл ив",
+      "ν οÏħ",
+      "νο Ïħ",
+      "ĠO v",
+      "ĠC HP",
+      "ĠCH P",
+      "ĠZe mÄĽ",
+      "ĠZem ÄĽ",
+      "ĠÄįesk ý",
+      "ĠÄįe ský",
+      "ĠTh ánh",
+      "иÑĤелÑĮ ноÑģÑĤÑĮ",
+      "иÑĤелÑĮно ÑģÑĤÑĮ",
+      "æĦı ä¹ī",
+      "à¥įरम ण",
+      "Ġди амеÑĤ",
+      "Ġk lin",
+      "Ġkl in",
+      "Ġkli n",
+      "Ġ کرÛĮ",
+      "ĠÚ© رÛĮ",
+      "Ġکر ÛĮ",
+      "ãģ§ãģ¯ ãģªãģı",
+      "飯 åºĹ",
+      "Ġk ênh",
+      "Ġkê nh",
+      "ĠÑĢанÑĮ ÑĪе",
+      "ãĤĴ ãģĹãģŁ",
+      "ĠпÑĢи боÑĢ",
+      "ĠпÑĢиб оÑĢ",
+      "Ġà¤ĸ तर",
+      "Ġ yu",
+      "Ġy u",
+      "é§ IJ",
+      "ĠÑĢ або",
+      "ĠÑĢа бо",
+      "ĠÑĢаб о",
+      "ĠС ÐłÐ¡Ðł",
+      "èĬ ¬",
+      "ž ila",
+      "ži la",
+      "žil a",
+      "еÑĢ ÑĤа",
+      "еÑĢÑĤ а",
+      "и ÑģÑĤÑĢа",
+      "иÑģ ÑĤÑĢа",
+      "иÑģÑĤ ÑĢа",
+      "Ġкни ги",
+      "ĠFranc ie",
+      "ĠFran cie",
+      "ĠÚĺ اپ",
+      "ĠÎļ οÏħ",
+      "ĠÎļο Ïħ",
+      "ัว à¹Ģà¸Ńà¸ĩ",
+      "Ġl ắng",
+      "Ġ нами",
+      "Ġн ами",
+      "Ġна ми",
+      "Ġнам и",
+      "Ġпод ой",
+      "д ÑĢом",
+      "дÑĢ ом",
+      "o bus",
+      "ob us",
+      "ÐĴ Ñĸн",
+      "Ġst alo",
+      "Ġsta lo",
+      "Ġstal o",
+      "Ġà¤ı à¤ľ",
+      "ĠL inh",
+      "ĠLin h",
+      "ĠLi nh",
+      "ebilir iz",
+      "Ġзав ÑĤÑĢа",
+      "μ εÏģο",
+      "με Ïģο",
+      "μεÏģ ο",
+      "Ġ ÎŃν",
+      "ĠÎŃ Î½",
+      "ÑıÑĤ но",
+      "Ġд оÑĢож",
+      "Ġдо ÑĢож",
+      "ĠдоÑĢ ож",
+      "åıĤ çħ§",
+      "Ïĥ ιο",
+      "Ïĥι ο",
+      "à¹ī à¹Ģà¸ģ",
+      "a ných",
+      "an ých",
+      "aný ch",
+      "ç· ł",
+      "Ġ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ",
+      "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ",
+      "åĬĽ çļĦ",
+      "ĠS ır",
+      "ĠSı r",
+      "Ġ ì§ĢëıĦ",
+      "Ġì§Ģ ëıĦ",
+      "ç· Ĭ",
+      "ĠpoÄį tu",
+      "ï¼Į ä¸İ",
+      "ä¸ĸ ç´Ģ",
+      "ем ого",
+      "емо го",
+      "Ġhus us",
+      "Ġhu sus",
+      "Ġölçü de",
+      "Ġtr ục",
+      "Ġtrụ c",
+      "à¸Ľà¸¥ à¸Ńà¸Ķà¸ł",
+      "Âłp ÅĻÃŃ",
+      "ĠBöl gesi",
+      "м ом",
+      "мо м",
+      "ãģ« ãģ¦",
+      "Ġ쪽 ì§Ģ",
+      "ÄĽt Å¡",
+      "ĠìĦ± ê³µ",
+      "र त",
+      "ur du",
+      "urd u",
+      "ĠìĽĢ ì§ģ",
+      "ÑŁ ÐŃ",
+      "nÃŃ kem",
+      "nÃŃk em",
+      "ĠskuteÄį nosti",
+      "Ġ даÑĤ",
+      "Ġд аÑĤ",
+      "Ġда ÑĤ",
+      "n eum",
+      "ne um",
+      "ĠÑĤаб леÑĤ",
+      "j vu",
+      "Ġs edm",
+      "Ġse dm",
+      "Ġsed m",
+      "س ÙĬØ©",
+      "سÙĬ Ø©",
+      "ĠкоÑĢ об",
+      "Ġко ÑĢоб",
+      "em mel",
+      "emm el",
+      "emme l",
+      "ãģ¤ ãģij",
+      "é¦Ļ èķī",
+      "Ġشخص ÛĮت",
+      "ĠشخصÛĮ ت",
+      "ä¸Ĭ äºĨ",
+      "ÙĪ را",
+      "ÙĪر ا",
+      "ĠаÑĤ моÑģ",
+      "Ġ лей",
+      "Ġл ей",
+      "Ġz prav",
+      "Ġzp rav",
+      "Ġëķ ħ",
+      "ู à¸Ĺ",
+      "Ġ اسر",
+      "Ġا سر",
+      "Ġاس ر",
+      "ĠAy dın",
+      "ĠعÙħ ÙĦÙĬØ©",
+      "ĠعÙħÙĦ ÙĬØ©",
+      "Ġд ÑĸÑĶ",
+      "ĠдÑĸ ÑĶ",
+      "Ġd ök",
+      "Ġdö k",
+      "Ġफ ल",
+      "ĠìĤ¬ëŀĮ ëĵ¤ìĿ´",
+      "ĠнаÑĤÑĥ ÑĢалÑĮ",
+      "æŁ ľ",
+      "温 度",
+      "Ġk les",
+      "Ġkl es",
+      "Ġkle s",
+      "Ġин веÑģÑĤи",
+      "s üz",
+      "æĴ °",
+      "Ġ ãĤ¢ãĥ«",
+      "ĠãĤ¢ ãĥ«",
+      "Ġ èĴ",
+      "Ġè Ĵ",
+      "ад ки",
+      "Ġk lÃŃÄį",
+      "Ïĩ εί",
+      "Ïĩε ί",
+      "ĠTh iết",
+      "ĠThi ết",
+      "ĠسرÛĮ ع",
+      "ĠÏĢεÏģιο Ïĩή",
+      "ÙĪ ÙĤÙģ",
+      "ÙĪÙĤ Ùģ",
+      "Ïģ ÏīÏĥη",
+      "ÏģÏī Ïĥη",
+      "ĠسÙĦ اÙħت",
+      "ĠسÙĦاÙħ ت",
+      "ëĵ¤ ëıĦ",
+      "ĠveÅĻej né",
+      "Ġvi tam",
+      "Ġvit am",
+      "Ġvita m",
+      "ĠبازÛĮ گر",
+      "ĠÑĢеÑĨеп ÑĤ",
+      "ĠìľĦ íķ´ìĦľ",
+      "ĠìľĦíķ´ ìĦľ",
+      "ĠØ£Ùĥ بر",
+      "Ġk üt",
+      "Ġkü t",
+      "민 주",
+      "Ġté ž",
+      "Ġ å¼ķ",
+      "Ġå¼ ķ",
+      "ÑĩаÑģ но",
+      "çļĦ åľ°",
+      "Ġarchit ekt",
+      "Ġбак ÑĤеÑĢ",
+      "Ġ ãģį",
+      "Ġ одеÑĢж",
+      "Ġо деÑĢж",
+      "Ġод еÑĢж",
+      "Ġتج ارÛĮ",
+      "éĿ Ī",
+      "Ġre cep",
+      "Ġrec ep",
+      "Ġrece p",
+      "é© ¶",
+      "Ġد ÙĩÙĩ",
+      "ĠدÙĩ Ùĩ",
+      "è² Į",
+      "çµIJ å©ļ",
+      "ılı ç",
+      "ãģĭãĤī ãģ¯",
+      "å¿ĥ éĩĮ",
+      "æĬķ è³ĩ",
+      "è² Ŀ",
+      "ĠкÑĥлÑĮÑĤÑĥ ÑĢÑĭ",
+      "ĠкÑĥлÑĮÑĤÑĥÑĢ Ñĭ",
+      "Ġ å°ij",
+      "Ġå° ij",
+      "à¹ģ à¸ŀร",
+      "à¹ģà¸ŀ ร",
+      "γ κÏĮ",
+      "γκ ÏĮ",
+      "ar ım",
+      "arı m",
+      "Ġاس اسÛĮ",
+      "Ġاساس ÛĮ",
+      "Ġposled nÃŃch",
+      "ĠposlednÃŃ ch",
+      "ĠÙħ ÙħÙĨ",
+      "ĠÙħÙħ ÙĨ",
+      "Ġпоз иÑĤив",
+      "Ġпози ÑĤив",
+      "ìł ¤",
+      "Ñĥ вавÑģÑı",
+      "Ñĥв авÑģÑı",
+      "Ñĥва вÑģÑı",
+      "Ñĥвав ÑģÑı",
+      "Ġجز ئ",
+      "ìĿ´ ìŀIJ",
+      "Ġин ÑģÑĤÑĢÑĥк",
+      "Ġη λεκ",
+      "Ġde mir",
+      "Ġdem ir",
+      "Ġdemi r",
+      "ä¸Ńæĸĩ åŃĹå¹ķ",
+      "Ġعاش ÙĤ",
+      "Ġب اÙĦÙĤ",
+      "Ġبا ÙĦÙĤ",
+      "ĠباÙĦ ÙĤ",
+      "Ġ maz",
+      "Ġm az",
+      "Ġma z",
+      "ά νι",
+      "άν ι",
+      "Ġ dÃ¼ÄŁ",
+      "Ġd Ã¼ÄŁ",
+      "Ġdü ÄŁ",
+      "Ġ κÏģα",
+      "Ġκ Ïģα",
+      "ĠбÑĥд ÑĤо",
+      "ç¦ı åĪ©",
+      "ĠпÑĢед назнаÑĩ",
+      "Ùħ ÙĦØ©",
+      "ÙħÙĦ Ø©",
+      "ĠбÑĥд инкÑĥ",
+      "Å¥ an",
+      "íķ Ģ",
+      "ç´¹ ä»ĭ",
+      "ک ز",
+      "ĠкаÑĦ ед",
+      "ãģ« è¦ĭ",
+      "าà¸ķร à¸IJาà¸Ļ",
+      "ë¡ľ ëĬĶ",
+      "i vÄĽ",
+      "iv ÄĽ",
+      "èĥ½ æºIJ",
+      "ï¼Į åħ¨",
+      "ĠÑĥ див",
+      "ĠÑĥд ив",
+      "Ġë§Į ëĤĺ",
+      "ÐĴ ÐIJ",
+      "ĠG ür",
+      "ĠGü r",
+      "ĠдÑĢÑĥг им",
+      "Ïĥ Ïį",
+      "Ġ oÄŁlu",
+      "ĠoÄŁ lu",
+      "Ġê°Ģ ê¹Į",
+      "ĠзнаÑĩ иÑĤелÑĮно",
+      "ĠзнаÑĩиÑĤ елÑĮно",
+      "о зÑĸ",
+      "оз Ñĸ",
+      "Ġm á»±c",
+      "ĠB eÅŁ",
+      "ĠBe ÅŁ",
+      "Ġ jezd",
+      "Ġje zd",
+      "á vÄĽ",
+      "áv ÄĽ",
+      "ÏĦη Ïĥε",
+      "ãģ¦ãģĦ ãģªãģĦ",
+      "ĠСв ÑıÑĤ",
+      "Ġम श",
+      "ĠΤ οÏħ",
+      "ĠΤο Ïħ",
+      "声 ãĤĴ",
+      "ĠÑģам ое",
+      "ĠÑģамо е",
+      "Ġ åĮº",
+      "ĠåĮ º",
+      "ĠìĤ¬ëŀĮ ìĿĢ",
+      "ĠÙħ ÙĦت",
+      "ĠÙħÙĦ ت",
+      "Ġj oker",
+      "Ġjo ker",
+      "Ġjoke r",
+      "Ġne ob",
+      "Ġneo b",
+      "ĠÑĤ ака",
+      "ĠÑĤак а",
+      "ĠÑĤа ка",
+      "ĠÙĩ Ùģت",
+      "Ġδε δο",
+      "ĠзаÑħ оп",
+      "ĠاÙĦÙħ خت",
+      "ез да",
+      "езд а",
+      "Ġíķľ ë²Ī",
+      "Ġع اÙħØ©",
+      "ĠعاÙħ Ø©",
+      "Ġdo state",
+      "Ġdost ate",
+      "Ġdostat e",
+      "Ġp lav",
+      "Ġpl av",
+      "Ġpla v",
+      "楽 ãģĹ",
+      ".;.; .;.;",
+      "в аÑĶ",
+      "ва ÑĶ",
+      "Ġbụ i",
+      "ĠÄij ỡ",
+      "ĠÄijá» ¡",
+      "Ġmys lÃŃ",
+      "Ġmysl ÃŃ",
+      "ĠÙĨ ار",
+      "Ġn út",
+      "Ġм ала",
+      "Ġмал а",
+      "Ġма ла",
+      "Τ Ρ",
+      "ĠاÙĦرÙħ زÙĬØ©",
+      "la dım",
+      "lad ım",
+      "ladı m",
+      "ä¸Ģ ç·Ĵ",
+      "ĠiÅŁ ç",
+      "l ivé",
+      "li vé",
+      "liv é",
+      "르 ê²Į",
+      "ан наÑı",
+      "ظËĨ Ø·",
+      "Ġd ừng",
+      "ÙĦÙĥ تر",
+      "çŃĶ æ¡Ī",
+      "ĠÙħÙĪÙĤع ÛĮت",
+      "ĠÑĸн озем",
+      "ĠиÑģ Ñĩ",
+      "Ġнеп ÑĢавилÑĮ",
+      "b akan",
+      "ba kan",
+      "bak an",
+      "Ġ çīĪ",
+      "Ġçī Ī",
+      "ен нÑİ",
+      "à¸ĩ à¹Ģศ",
+      "à¸Ħวาม à¸Ħ",
+      "% .Ċ",
+      "%. Ċ",
+      "à¹Ī à¹Ģà¸Ľ",
+      "ĠØ¢ بÛĮ",
+      "Ġآب ÛĮ",
+      "Ġst áty",
+      "Ġstát y",
+      "Ġتر تÛĮب",
+      "Äįem ž",
+      "Ġ é¹",
+      "Ġé ¹",
+      "Ġ ÙģاÙĦ",
+      "ĠÙģ اÙĦ",
+      "Ġbelir len",
+      "ĠâĨ ĺ",
+      "èĩ³ å°ij",
+      "ĠBun lar",
+      "Ġ ä¸ĵ",
+      "Ġä¸ ĵ",
+      "ĠÙħØŃ Ø§Ø³",
+      "ĠìĦľ ë²Ħ",
+      "Ġc anh",
+      "Ġcan h",
+      "Ġca nh",
+      "ĠпÑĢоÑĤ Ñıж",
+      "ĠнÑĸ меÑĨÑĮ",
+      "à¥Īà¤ł à¤ķ",
+      "ëĭ ī",
+      "Ġна неÑģ",
+      "Ġвоз ÑĢаÑģÑĤа",
+      "ĠвозÑĢаÑģÑĤ а",
+      "Ġ[âĢ¦ ]Ċ",
+      "Ġ[âĢ¦] Ċ",
+      ". à¸ŀ",
+      "ิ ศาสà¸ķร",
+      "ิศ าสà¸ķร",
+      "çģ ½",
+      "ê°Ļ ìĿĢ",
+      "ล à¸ĩà¸Ĺ",
+      "ลà¸ĩ à¸Ĺ",
+      "ãĤ± ãĥ¼ãĤ¹",
+      "Ġ ãĤ¢ãĤ¤",
+      "ĠãĤ¢ ãĤ¤",
+      "Ñģ Ñİ",
+      "ĠÙĦ ر",
+      "ãģĭ ãģ£ãģ¦",
+      "Ġ기 ë°ĺ",
+      "Ġ !:",
+      "Ġ! :",
+      "ĠÑģ ÑĬ",
+      "Ġ Ø´ÙĨاسÛĮ",
+      "ĠØ´ÙĨ اسÛĮ",
+      "ĠØ´ÙĨاس ÛĮ",
+      "ĠìķĦ 침",
+      "Ġعب اس",
+      "Ġ à¸ķà¸Ńà¸Ļ",
+      "Ġà¸ķ à¸Ńà¸Ļ",
+      "ĠмеÑĤал ли",
+      "ÑĪ ила",
+      "ÑĪи ла",
+      "Ġpod rob",
+      "Ġpodr ob",
+      "ÑĸÑģ но",
+      "Ġ 赤",
+      "Ġèµ ¤",
+      "c iler",
+      "ci ler",
+      "cil er",
+      "o zem",
+      "oz em",
+      "oze m",
+      "ĠоÑģнов нÑĭÑħ",
+      "Âł à¤ķ",
+      "à¸ĸ à¸Ļà¸Ļ",
+      "ан ÑĤаж",
+      "анÑĤ аж",
+      "анÑĤа ж",
+      "ĠD ÃŃky",
+      "Ġگذ ارÛĮ",
+      "æľº ä¼ļ",
+      "οÏħ λίοÏħ",
+      "οÏħλ ίοÏħ",
+      "оÑĩ ек",
+      "Ġнап иÑĤ",
+      "ĠبÛĮØ´ ترÛĮ",
+      "ĠبÛĮشتر ÛĮ",
+      "ä¾ į",
+      "ĠاÙĦ ÙħÙħ",
+      "ĠاÙĦÙħ Ùħ",
+      "ÙĪز ÙĬع",
+      "Ġgöz lem",
+      "è°ĥ æķ´",
+      "Âłm iles",
+      "Âłmi les",
+      "Ġk oc",
+      "Ġko c",
+      "ัà¸į ห",
+      "æ³ ³",
+      "ĠÎij γγ",
+      "ĠÎijγ γ",
+      "ĠÙĨÙħ از",
+      "ุ à¸Ĺ",
+      "ãĥı ãĤ¤",
+      "Ġth ù",
+      "к ÑĥлÑı",
+      "кÑĥ лÑı",
+      "кÑĥл Ñı",
+      "ĠпÑĥÑĤ ем",
+      "èĩº çģ£",
+      "Ġver gi",
+      "Ġverg i",
+      "åł´åIJĪ ãģ¯",
+      "ĠÑĤÑĢÑĮ оÑħ",
+      "Ġë³´ ë©´",
+      "âĸ ²",
+      "Ïħ γ",
+      "ĠдоÑĤ ÑĢим",
+      "æľ µ",
+      "Ġum ÄĽnÃŃ",
+      "èī¯ ãģĦ",
+      "Âł à¸Ļาà¸ĩ",
+      "Ðİ ÑĭÑŁN",
+      "ä¸ī 个",
+      "ียร à¸ķ",
+      "ï¼Į åIJĮæŶ",
+      "ĠÑĢозÑĢаÑħ Ñĥн",
+      "ĠD ers",
+      "ĠDe rs",
+      "ĠDer s",
+      "ãģª ãģ®",
+      "Ġê·¸ 를",
+      "d ikleri",
+      "dik leri",
+      "Ġhay ata",
+      "Ġhaya ta",
+      "Ġhayat a",
+      "è§Ħ èĮĥ",
+      "ç»ĵ åIJĪ",
+      "Ġs cé",
+      "Ġsc é",
+      "Ġc Æ¡m",
+      "ĠcÆ¡ m",
+      "åѸ éĻ¢",
+      "ĠÐĦ в",
+      "ĠÄįlán ek",
+      "ĠдоÑģÑĤ иг",
+      "ĠдоÑģÑĤи г",
+      "ा à¤ĩस",
+      "ाà¤ĩ स",
+      "εÏħ Ïĥη",
+      "éģ© çĶ¨",
+      "Ïĥ ον",
+      "Ïĥο ν",
+      "ıl maktadır",
+      "ëªħ ìĿĦ",
+      "ı b",
+      "Ġstar Å¡ÃŃ",
+      "Ġch ÃŃn",
+      "ĠchÃŃ n",
+      "ä¸Ģ 个人",
+      "ä¸Ģ个 人",
+      "ĠFranti Å¡ek",
+      "n ÄĽji",
+      "nÄĽ ji",
+      "ï» ¨",
+      "ĠÙĦÙĦ د",
+      "Ġp okoj",
+      "Ġpok oj",
+      "Ġj ih",
+      "Ġji h",
+      "ãĢį ãĢĤ",
+      "Ġعبد اÙĦ",
+      "ãĤĵãģ§ ãģĦãĤĭ",
+      "Ġмод елÑĮ",
+      "ĠteÅŁ kil",
+      "ĠÄĮ er",
+      "à¹Ģà¸Ķ à¸Ńร",
+      "' na",
+      "'n a",
+      "λο γή",
+      "λογ ή",
+      "Ġ kola",
+      "Ġk ola",
+      "Ġko la",
+      "Ġkol a",
+      "ãĥĢ ãĥ¼",
+      "иÑĤ елем",
+      "иÑĤе лем",
+      "ĠÏĥÏħ νο",
+      "ĠÏĥÏħν ο",
+      "ĠK urum",
+      "ĠKur um",
+      "ĠKu rum",
+      "Ġsnad no",
+      "ĠاÙĦÙĤر Ø¢ÙĨ",
+      "ĠV á»ģ",
+      "é«ĺ ãģĦ",
+      "Ġyıl dız",
+      "Ġbir isi",
+      "Ġbiri si",
+      "Ġkh úc",
+      "ÙĪ ÛĮÙĦ",
+      "ÙĪÛĮ ÙĦ",
+      "æľĢ ä½³",
+      "Ġส าà¸Ĥ",
+      "ĠÐŁ ок",
+      "ĠÐŁÐ¾ к",
+      "âī ł",
+      "à¹Ĥà¸Ľà¸£ à¹ģà¸ģรม",
+      "à¥įय यन",
+      "èij ¡",
+      "Ġn ovÄĽ",
+      "Ġno vÄĽ",
+      "Ġnov ÄĽ",
+      "ay ıp",
+      "ayı p",
+      "ĠSing ap",
+      "ĠSin gap",
+      "è° ĵ",
+      "ãĤ¶ ãĤ¤ãĥ³",
+      "Ġн овÑĭе",
+      "Ġнов Ñĭе",
+      "Ġh ảo",
+      "Ġ èŤ",
+      "ĠèĹ ¤",
+      "ãĥ³ ãĥĸ",
+      "ãĥ³ãĥ ĸ",
+      "Âł ĊĊ",
+      "ÂłĊ Ċ",
+      "θ εια",
+      "θε ια",
+      "Ġпоп ада",
+      "ĠëĶĶ ìŀIJìĿ¸",
+      "Ġداشت ÙĨد",
+      "ĠداشتÙĨ د",
+      "ĠØ´ÙĨ اختÙĩ",
+      "Ïĥ μαÏĦα",
+      "Ïĥμα ÏĦα",
+      "å¹³æĸ¹ åħ¬éĩĮ",
+      "Ġg öl",
+      "Ġgö l",
+      "ек оÑĤоÑĢ",
+      "еко ÑĤоÑĢ",
+      "Ġm álo",
+      "Ġmá lo",
+      "Ġاج ازÙĩ",
+      "Ú© اراÙĨ",
+      "کار اÙĨ",
+      "کا راÙĨ",
+      "ĠпÑĸдпÑĢиÑĶм ÑģÑĤв",
+      "ä¸ī å¹´",
+      "ĠسÙģ ÛĮد",
+      "ĠμÎŃ ÏģοÏĤ",
+      "ÐĻ ÐĻ",
+      "Ġh Æ°",
+      "س ÙĪب",
+      "سÙĪ ب",
+      "ĠÙĦ ذا",
+      "Ġnem ovit",
+      "Ġd ÃŃv",
+      "ĠdÃŃ v",
+      "Ä° s",
+      "¶ ¶",
+      "Ġph Æ°á»Ŀng",
+      "ĠÙĨØŃ ÙĪÙĩ",
+      "ĠÙĨØŃÙĪ Ùĩ",
+      "Ð ĭ",
+      "Ġz byt",
+      "Ġzb yt",
+      "Ġzby t",
+      "ed ii",
+      "edi i",
+      "n ech",
+      "ne ch",
+      "ĠадмÑĸнÑĸÑģÑĤÑĢа ÑĤив",
+      "Ġne vÄĽ",
+      "Ġnev ÄĽ",
+      "Ġ ож",
+      "Ġо ж",
+      "ĠÄIJ ó",
+      "à¸Ľà¸£à¸° ว",
+      "Ġvhod né",
+      "Ġum ÄĽl",
+      "ĠÑĢазлиÑĩ нÑĭе",
+      "ĠpÅĻi roz",
+      "Ġبخ Ø´ÛĮ",
+      "Ġبخش ÛĮ",
+      "ãģ® 大",
+      "ĠاÙĦ ÙĥÙĩ",
+      "ĠاÙĦÙĥ Ùĩ",
+      "ec ká",
+      "eck á",
+      "Ġzorun lu",
+      "ĠÐľÐ¸Ðº ола",
+      "Ġ amel",
+      "Ġa mel",
+      "Ġam el",
+      "к овÑĭе",
+      "ков Ñĭе",
+      ": :::/",
+      ":: ::/",
+      ":::: /",
+      "::: :/",
+      "ä¸įåIJĮ çļĦ",
+      "ĠÙĪÙĥ اÙĨت",
+      "ĠÙĪÙĥاÙĨ ت",
+      "à¸Ń à¸Ń",
+      "lá sil",
+      "ĠпÑĢедпол аг",
+      "ï½ ±",
+      "Ġ νε",
+      "Ġν ε",
+      "Ġн овÑĭй",
+      "Ġнов Ñĭй",
+      "Ġìĺģíĸ¥ ìĿĦ",
+      "Ġê°Ģ ì§Ħ",
+      "åĥ ħ",
+      "Y D",
+      "Ġب اغ",
+      "Ġبا غ",
+      "ĠØ´Ú© ست",
+      "Ġgü ney",
+      "Ġgün ey",
+      "и ÑģÑĮ",
+      "иÑģ ÑĮ",
+      "ãģĭ ãģªãģĦ",
+      "ãģĭãģª ãģĦ",
+      "ĠT òa",
+      "Ġگرد ÛĮد",
+      "Ġگر دÛĮد",
+      "ØŃ ÙĦ",
+      "lu vÃŃ",
+      "luv ÃŃ",
+      "v éd",
+      "vé d",
+      "Ġìĺ ·",
+      "Ġε ÏĢα",
+      "ĠεÏĢ α",
+      "ĠÑĤи ÑģÑıÑĩ",
+      "ĠÑĤиÑģ ÑıÑĩ",
+      "Ġê½ ĥ",
+      "ĠP US",
+      "ĠPU S",
+      "ĠдÑĥм кÑĥ",
+      "Ġ âĢĿĊ",
+      "ĠâĢĿ Ċ",
+      "ĠìĬ¤ íı¬ì¸ł",
+      "Ùĩ Ùĩ",
+      "Ġg ắng",
+      "Ġgắn g",
+      "ิ à¸łà¸²à¸ŀ",
+      "éĩĮ éĿ¢",
+      "br ıs",
+      "Ġz áb",
+      "Ġzá b",
+      "κ αÏĤ",
+      "κα ÏĤ",
+      "ĠåıĮ 线",
+      "ล ล",
+      "ĠÄIJ Ãłi",
+      "ĠÄIJÃł i",
+      "åѸ æł¡",
+      "ĠÑĢаÑģп ÑĢед",
+      "ĠÑģÑĤан еÑĤ",
+      "ĠÑģÑĤа неÑĤ",
+      "Ġл ак",
+      "Ġла к",
+      "Ġпод к",
+      "Ġg ören",
+      "Ġgö ren",
+      "Ġgör en",
+      "Ġgöre n",
+      "르 ê³ł",
+      "ĠÑĦ ÑĢÑĥкÑĤ",
+      "íĵ¨ íĦ°",
+      "ãģĻ ãĤĮãģ°",
+      "ãĤĴ ä½ľ",
+      "à¸Ńà¸Ńà¸ģ à¹ģà¸ļà¸ļ",
+      "Ġku lak",
+      "Ġkul ak",
+      "ĠíĶĮ ëłĪìĿ´",
+      "ĠØŃ Ø¯ÙĬØ«",
+      "ĠØŃد ÙĬØ«",
+      "ãģĨ ãĤĵ",
+      "Ġм Ñĸк",
+      "ĠмÑĸ к",
+      "à¤ĩस à¤ķ",
+      "ĠÑĥ ÑĤоÑĩ",
+      "ĠÑĥÑĤ оÑĩ",
+      "ĠÙĥ Ø«ÙĬر",
+      "ĠY ine",
+      "ĠYi ne",
+      "ĠYin e",
+      "ัว หà¸Ļ",
+      "н ÑĸÑĹ",
+      "нÑĸ ÑĹ",
+      "åį ¢",
+      "Ñĥ Ñģлов",
+      "ÑĥÑģ лов",
+      "ìĽĮ íģ¬",
+      "Ġà¤ħ à¤ĸ",
+      "ĠÑĨ Ñĸка",
+      "ĠÑĨÑĸ ка",
+      "ìĦł ìĿĦ",
+      "ĠØ£ ر",
+      "гал ÑĤеÑĢ",
+      "angl icky",
+      "ĠÑģ оÑģÑĥд",
+      "ĠÑģоÑģ Ñĥд",
+      "ĠÑĥ Ñıв",
+      "ĠпÑĢодÑĥк ÑĨÑĸÑĹ",
+      "Ġc hua",
+      "Ġch ua",
+      "Ġchu a",
+      "Ġd án",
+      "Ġdá n",
+      "ाम à¤Ĺ",
+      "ئ ت",
+      "ĠФ ед",
+      "Ġh rom",
+      "Ġhr om",
+      "íķ´ ë³´",
+      "ĠØ¢ÙĨ ÙĦاÛĮÙĨ",
+      "- пÑĢав",
+      "-п ÑĢав",
+      "Ġì¤ijìļĶ íķľ",
+      "Ġв кÑĥ",
+      "Ġвк Ñĥ",
+      "Ġ 大éĺª",
+      "Ġ大 éĺª",
+      "Ġt erk",
+      "Ġte rk",
+      "Ġter k",
+      "Ġпод Ñĸб",
+      "ĠвÑĸд вÑĸд",
+      "à¥Į à¤Ł",
+      "è³ £",
+      "Ġب تÙĨ",
+      "Ġبت ÙĨ",
+      "Ġبع ضÛĮ",
+      "Ġبعض ÛĮ",
+      "ãģª ãģĬ",
+      "ä»ĸ åĢij",
+      "Ġtavs iye",
+      "ĠM ısır",
+      "ĠØ¥ Ø°",
+      "Ġ æIJ",
+      "Ġæ IJ",
+      "íķĺ ëĤĺ",
+      "ĠÙĪ Ø®",
+      "ãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢĠ ãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ",
+      "ãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢ",
+      "ãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢ",
+      "Ġta kový",
+      "Ġtak ový",
+      "Ġtako vý",
+      "Ġबन न",
+      "Ġз ÑĢениÑı",
+      "ĠÙĪ ÙģÙĤ",
+      "ĠÙĪÙģ ÙĤ",
+      "ë¹Ħ ìķĦ",
+      "Ġпом ожеÑĤ",
+      "åĮĹ å¸Ĥ",
+      "dık ları",
+      "Ġ éĵģ",
+      "Ġéĵ ģ",
+      "Ġakt uálnÃŃ",
+      "Ġaktu álnÃŃ",
+      "Ġв в",
+      "ãĤĤ ãģªãģĦ",
+      "íĨµ ìĭł",
+      "ÏĦα Ïĥη",
+      "Ġìĥģ ëĮĢ",
+      "Ġ æł¡",
+      "Ġæł ¡",
+      "ãĢĤ éĤ£",
+      "ĠرÙĪسÛĮ Ùĩ",
+      "Ġtelev izyon",
+      "å¹´ é¾Ħ",
+      "ĠÐijоÑĢ иÑģ",
+      "리 ìĸ´",
+      "Ġz veÅĻej",
+      "ж но",
+      "ĠÐŀ ÑģÑĤ",
+      "ĠÐŀÑģ ÑĤ",
+      "ĠмÑĥж Ñĩин",
+      "Ġy eÅŁil",
+      "ĠСов еÑĤ",
+      "ĠСо веÑĤ",
+      "ĠB ÃĸL",
+      "ĠТак ож",
+      "Ġob nov",
+      "ĠпÑĢи надлеж",
+      "ĠвиÑģ нов",
+      "Ø· Ùħ",
+      "ĠìĹĨ ìĸ´",
+      "ĠM ùa",
+      "ä½ı å®ħ",
+      "åĮ» åѦ",
+      "Ġна ÑĢез",
+      "ĠнаÑĢ ез",
+      "ãĥĭ ï¾Ĩ",
+      "ĠM ặt",
+      "Ġvu ông",
+      "ä¸Ģ åĮº",
+      "ĠẢ nh",
+      "ÑĢ иÑĦ",
+      "ÑĢи ÑĦ",
+      "ä¿Ŀ éĻ©",
+      "ĠÏĩÏģή Ïĥη",
+      "åIJĮ æĦı",
+      "Ġ æīĵ",
+      "Ġæī ĵ",
+      "e tÄĽ",
+      "et ÄĽ",
+      "ĠÙĪ Ø°ÙĦÙĥ",
+      "ĠÑĤ иж",
+      "ĠÑĤи ж",
+      "ĠÎŁ ικο",
+      "ĠÎŁÎ¹ κο",
+      "ĠмÑĸÑģ ÑĨÑĸ",
+      "ĠÑĢебен ок",
+      "ĠÅŀ ah",
+      "عÙĦ ÙĪÙħ",
+      "l adıģ",
+      "la dıģ",
+      "lad ıģ",
+      "ladı ģ",
+      "Ġg iden",
+      "Ġgi den",
+      "Ġgid en",
+      "лив оÑģÑĤÑĸ",
+      "ливо ÑģÑĤÑĸ",
+      "ÙĴ س",
+      "ĠT HB",
+      "ĠTH B",
+      "Ġmes lek",
+      "Âł ÐĿе",
+      "ÂłÐĿ е",
+      "μÏĨ Ïīνα",
+      "Ġ ÙĪاج",
+      "ĠÙĪ اج",
+      "ĠÙĪا ج",
+      "на ÑģлÑĸд",
+      "æĺŁ æľŁ",
+      "ÐĶ ж",
+      "ĠÑĢабоÑĤ аеÑĤ",
+      "ĠÑĢабоÑĤа еÑĤ",
+      "Ġs ánh",
+      "ìļ° 리",
+      "Ġا بÙĪ",
+      "Ġاب ÙĪ",
+      "çļĦ æĥħ",
+      "ĠìĻ¸ êµŃ",
+      "Ġk abil",
+      "Ġka bil",
+      "Ġkab il",
+      "еÑĢв Ñĭе",
+      "Ġgi Ãłu",
+      "ĠgiÃł u",
+      "Ġt á»ı",
+      "Ġtá» ı",
+      "Âł Ðij",
+      "å®Į æķ´",
+      "Ġmuž ů",
+      "ĠpomÄĽr nÄĽ",
+      "ĠÙħ خصÙĪص",
+      "ĠÐĶ ем",
+      "ãĤı ãĤĮãĤĭ",
+      "ãĤıãĤĮ ãĤĭ",
+      "ĠпÑĢи бÑĭ",
+      "ĠпÑĢиб Ñĭ",
+      "ĠکاÙħ Ù¾ÛĮ",
+      "ï¼ Ń",
+      "Ġt rh",
+      "Ġtr h",
+      "ĠÐij олÑĮÑĪ",
+      "´ :",
+      "и ваеÑĤÑģÑı",
+      "ив аеÑĤÑģÑı",
+      "ива еÑĤÑģÑı",
+      "иваеÑĤ ÑģÑı",
+      "Ġ ìĤ¬íķŃ",
+      "ĠìĤ¬ íķŃ",
+      "è¿Ľ ä¸ĢæŃ¥",
+      "ÑĨ ей",
+      "ÑĨе й",
+      "ãģ¾ ãģļ",
+      "аÑĤ елем",
+      "аÑĤе лем",
+      "éĮ ¯",
+      "Ġžal ob",
+      "ÑĨ ез",
+      "ÑĨе з",
+      "и нÑĥв",
+      "ин Ñĥв",
+      "инÑĥ в",
+      "Ġver ze",
+      "Ġve rze",
+      "Ġverz e",
+      "åĽŀ åĪ°",
+      "Ġd ược",
+      "ائ ÙĬÙĦ",
+      "ائÙĬ ÙĦ",
+      "sto upil",
+      "stoup il",
+      "论 æĸĩ",
+      "ĠÐŁ аÑĢи",
+      "ĠÐŁÐ°ÑĢ и",
+      "Ġдек оÑĢаÑĤив",
+      "اخ تÛĮ",
+      "اخت ÛĮ",
+      "ĠÑģÑĤ ÑĢем",
+      "ĠÑģÑĤÑĢ ем",
+      "ãĥ»âĶģãĥ»âĶģ ãĥ»âĶģãĥ»âĶģ",
+      "ĠÑģам ой",
+      "ĠÑģамо й",
+      "Ñĩ ÑĤо",
+      "ìĥģ ëĭ´",
+      "âī ¤",
+      "ÑĤ ого",
+      "ÑĤо го",
+      "ëIJ ¨",
+      "ı lacak",
+      "ıl acak",
+      "ä¸Ń ãģ«",
+      "ĠÏħÏĢάÏģÏĩ οÏħν",
+      "ĠвÑĸд бÑĥ",
+      "ĠвÑĸдб Ñĥ",
+      "çİ »çĴĥ",
+      "Ġвп еÑĢед",
+      "ĠPl zeÅĪ",
+      "گ اب",
+      "à¹Ģศ รษà¸IJ",
+      "ï¼Į æľĢ",
+      "Ùħ ÙĨÛĮ",
+      "ÙħÙĨ ÛĮ",
+      "çħ§ çīĩ",
+      "缮 å½ķ",
+      "ÑĢиÑĤ ÑĤÑı",
+      "âĢĮ اش",
+      "Ġ ëĮĢíļĮ",
+      "ĠëĮĢ íļĮ",
+      "ĠÅĻ adu",
+      "- ÑĤеÑħ",
+      "-ÑĤ еÑħ",
+      "Ġ ÙĬÙĪ",
+      "ĠÙĬ ÙĪ",
+      "Ġ à¹ģà¸ŀ",
+      "Ġà¹ģ à¸ŀ",
+      "ا ÙĥÙĨ",
+      "اÙĥ ÙĨ",
+      "Ġ기 ìŀIJ",
+      "Ġг Ñĸд",
+      "Ġìļ° 리ëĬĶ",
+      "Ġìļ°ë¦¬ ëĬĶ",
+      "Ø´ ÙħارÛĮ",
+      "Ø´Ùħ ارÛĮ",
+      "Ġt icari",
+      "Ġtic ari",
+      "âij ¢",
+      "ĠاÙĦ بد",
+      "ĠاÙĦب د",
+      "ĠÑĢаÑģ Ñĩ",
+      "Ġ اÙĦÛĮ",
+      "Ġا ÙĦÛĮ",
+      "ĠاÙĦ ÛĮ",
+      "Ġsü rede",
+      "Ġsür ede",
+      "Ġsüre de",
+      "Ġاع تر",
+      "Ġпо нÑıÑĤÑĮ",
+      "Ġпон ÑıÑĤÑĮ",
+      "γ κο",
+      "γκ ο",
+      "ï¼Į æ¯Ķ",
+      "ĠS eb",
+      "ĠSe b",
+      "Ġìĭł ê·ľ",
+      "æĶ¶ çĽĬ",
+      "ĠÙ¾ÛĮØ´ÙĨÙĩ اد",
+      "Îľ ÎijΤ",
+      "ÎľÎij Τ",
+      "ë°Ķ ìĿ´",
+      "ä¾Ľ åºĶ",
+      "б ин",
+      "би н",
+      "人 æ°Ĺ",
+      "ãģı ãĤī",
+      "Ġsk vÄĽl",
+      "Ġëĵ± ìŀ¥",
+      "æĭħ å½ĵ",
+      "Ġim kan",
+      "æ Ļ¨",
+      "æĻ ¨",
+      "ï¼Į çİ°åľ¨",
+      "Ġsrd ce",
+      "ìĤ° ìĹħ",
+      "Ġмод ели",
+      "æľ¬å½ĵ ãģ«",
+      "а нка",
+      "ан ка",
+      "анк а",
+      "Ġyür üy",
+      "ĠоÑĩ евид",
+      "ĠØŃ Ø³ÙĬÙĨ",
+      "ĠØŃس ÙĬÙĨ",
+      "Ñī аÑİÑĤ",
+      "Ñīа ÑİÑĤ",
+      "lé dl",
+      "léd l",
+      "ÑĨ о",
+      "ĠcÃŃ sa",
+      "ãģĭ ãģij",
+      "èĹ į",
+      "ĠØ®ÙĪاÙĩ ÙĨد",
+      "Ġmu že",
+      "Ġmuž e",
+      "Ġна коп",
+      "Ġнак оп",
+      "di ÄŁini",
+      "diÄŁi ni",
+      "er seniz",
+      "ers eniz",
+      "ersen iz",
+      "ĠпÑĢаÑĨÑĸв никÑĸв",
+      "д лÑı",
+      "Ġα ÏĥÏĦ",
+      "ĠαÏĥ ÏĦ",
+      "æ¶Ī è´¹",
+      "Ġ è¨Ģ",
+      "Ġè¨ Ģ",
+      "Ġb át",
+      "ĠØ´ ÙĥÙĦ",
+      "ĠÑģп иÑĢ",
+      "ÏĢο ÏĦε",
+      "Ġس اÙĦÙĩ",
+      "ĠساÙĦ Ùĩ",
+      "e kil",
+      "ek il",
+      "eki l",
+      "à¹ģ à¸Ĭม",
+      "ĠÏĥ ÏĦι",
+      "ĠÙħ Ø·ÙĦب",
+      "ĠÙħØ· ÙĦب",
+      "Ġìłķ ì±ħ",
+      "ê´Ģ ê³Ħ",
+      "å¹¹ ç·ļ",
+      "Ġ 京",
+      "éĢļ éģİ",
+      "ĠدÛĮ گراÙĨ",
+      "ĠدÛĮگر اÙĨ",
+      "ĠØ£ Ùħا",
+      "ĠØ£Ùħ ا",
+      "æĺ¯ ä¸į",
+      "ĠëĮĢ ëĭµ",
+      "ĠE rk",
+      "ĠEr k",
+      "p erty",
+      "per ty",
+      "pert y",
+      "ĠнаÑĩина еÑĤ",
+      "Ġê·¸ 리",
+      "ë£ ¡",
+      "ĠìĽ¹ ìĤ¬ìĿ´íĬ¸",
+      "ार न",
+      "æĦı è¯Ĩ",
+      "ĠС ÐŁ",
+      "Ġب اÙĬد",
+      "Ġبا ÙĬد",
+      "Ġbakım ından",
+      "/ TT",
+      "/T T",
+      "ĠÙģ اصÙĦÙĩ",
+      "ĠÙħØ« ÙĦا",
+      "ĠÙħØ«ÙĦ ا",
+      "Ġк вад",
+      "Ġкв ад",
+      "ĠØ´ اÛĮد",
+      "ĠuÄį itel",
+      "çĪ ½",
+      "Ġعرض Ùĩ",
+      "Ġ 交",
+      "ĠÑĩ еÑģÑĤÑĮ",
+      "ĠÑĩеÑģ ÑĤÑĮ",
+      "à¥Ī ?Ċ",
+      "à¥Ī? Ċ",
+      "ĠخاÙĨ Ùħ",
+      "et iyle",
+      "eti yle",
+      "Ġε γκα",
+      "ĠÑģÑĥ Ñīе",
+      "ĠìĿ¼ ìĸ´",
+      "ĠÐĽ ени",
+      "ĠÐĽÐµ ни",
+      "Ġ 声",
+      "Ġå£ °",
+      "á lie",
+      "ál ie",
+      "áli e",
+      "ãĥ¡ ãĥ¼ãĤ¸",
+      "à¥Ģ तर",
+      "à¥Ģत र",
+      "г алÑĸ",
+      "га лÑĸ",
+      "гал Ñĸ",
+      "ĠмÑĸ нÑĸм",
+      "ĠE ÅŁ",
+      "ĠпÑĢоиз оÑĪ",
+      "ÐĿ аÑģ",
+      "ÐĿа Ñģ",
+      "Ġب ÙĨÛĮ",
+      "ĠبÙĨ ÛĮ",
+      "让 æĪij",
+      "ĠпоÑģÑĤ еп",
+      "ĠìļĶ 구",
+      "ılı p",
+      "ıl ıp",
+      "Ġج ÙĪر",
+      "ĠجÙĪ ر",
+      "ĠëĮĢ ë¶Ģë¶Ħ",
+      "à¹ĩ à¸ķาม",
+      "à¹ĩà¸ķ าม",
+      "ĠÑĦ аÑģ",
+      "Ġìłķ ê·ľ",
+      "ла менÑĤ",
+      "лам енÑĤ",
+      "ÄŁ en",
+      "ÄŁe n",
+      "à¥ĩà¤Ĥ ĊĊ",
+      "à¥ĩà¤ĤĊ Ċ",
+      "ĠÐĺ ванов",
+      "ĠØŃ Ú©Ùħ",
+      "ĠØŃÚ© Ùħ",
+      "Ġ ï¾ļ",
+      "Ġï¾ ļ",
+      "ï¼ »",
+      "Ġne vid",
+      "Ġnev id",
+      "Ġла боÑĢаÑĤоÑĢ",
+      "à¸ŀย าà¸ļาล",
+      "Ġed iyorum",
+      "Ġediyor um",
+      "Ġhl avy",
+      "Ġhlav y",
+      "ĠEvrop ské",
+      "Ġph ái",
+      "Ġphá i",
+      "ãĥĵ ãĥ¼",
+      "ê´ij ìĹŃìĭľ",
+      "äº ľ",
+      "ØŃد اث",
+      "ĠпÑĢоÑĦ илакÑĤи",
+      "ro stÅĻed",
+      "rost ÅĻed",
+      "Ġм алÑĮ",
+      "Ġмал ÑĮ",
+      "Ġма лÑĮ",
+      "Ġmü dür",
+      "ا ساس",
+      "اس اس",
+      "ĠгалÑĥз Ñĸ",
+      "ี à¸Ł",
+      "Ġغذ اÛĮÛĮ",
+      "åŃIJ ä¾Ľ",
+      "Ġbah sed",
+      "ĠKrál ové",
+      "åį »",
+      "Ġ %,",
+      "Ġ% ,",
+      "ç½Ĺ æĸ¯",
+      "ë ļ",
+      "Ġ çij",
+      "Ġç ij",
+      "Ġξε ÏĦα",
+      "ĠÐŃ ÑĤи",
+      "ĠíĨµ íķ©",
+      "Ġاک تبر",
+      "ĠmÄĽsÃŃ ce",
+      "ìĪĺ ë¡ľ",
+      "ÑĦ Ñĸк",
+      "ÑĦÑĸ к",
+      "ĠÐĴ оз",
+      "ĠÐĴо з",
+      "ÑĩеÑģ ким",
+      "Ñĩе Ñģким",
+      "ÑĩеÑģки м",
+      "ìļ´ ëĵľ",
+      "Ġná klady",
+      "Ġnáklad y",
+      "ĠпоÑĤ ÑĢап",
+      "ĠÑĢÑĥ каÑħ",
+      "ĠÑĢÑĥк аÑħ",
+      "ι λο",
+      "ιλ ο",
+      "ĠG ül",
+      "ĠGü l",
+      "ë© ĺ",
+      "à¹ī ย",
+      "m akt",
+      "ma kt",
+      "mak t",
+      "ãĥ³ ãĥIJãĥ¼",
+      "ãĥ³ãĥIJ ãĥ¼",
+      "Ġн ÑĸÑı",
+      "ĠнÑĸ Ñı",
+      "ĠоÑĤ ÑĤен",
+      "m esinin",
+      "mes inin",
+      "mesi nin",
+      "mesini n",
+      "ĠвÑģп ом",
+      "Ġ ìĿ´ëĬĶ",
+      "ĠìĿ´ ëĬĶ",
+      "dy by",
+      "ãĤ¿ ãĥ³",
+      "âĹ İ",
+      "à¹īา หà¸Ļ",
+      "à¹īาห à¸Ļ",
+      "اد Ú¯ÛĮ",
+      "Ïĩ ία",
+      "Ġsna žÃŃ",
+      "Ġà¤ļ à¤ķ",
+      "μή μα",
+      "Ġ Ùĥر",
+      "ĠÙĥ ر",
+      "Ġκ οι",
+      "Ġκο ι",
+      "éĢ ¸",
+      "Ġne ust",
+      "Ġneu st",
+      "ĠÙĨظ اÙħÛĮ",
+      "ĠÙĨظاÙħ ÛĮ",
+      "åįļ çī©",
+      "Ġ ë²½",
+      "Ġë² ½",
+      "á½ ±",
+      "Ġì¶ľ ìĭľ",
+      "Ġar má",
+      "Ġarm á",
+      "ĠÙĩÙħ کارÛĮ",
+      "çļĦ æĥħåĨµ",
+      "çļĦæĥħ åĨµ",
+      "ÙĤ اÙħ",
+      "ÙĤ ب",
+      "Ġ éĤ£",
+      "ĠéĤ £",
+      "Ġë§ ¡",
+      "Ġo lası",
+      "Ġol ası",
+      "Ġola sı",
+      "β ÎŃÏģ",
+      "ä½ķ ãģĭ",
+      "ĠÑĥÑĩ еб",
+      "Ġв Ñĥз",
+      "Ġبر گز",
+      "Ġبرگ ز",
+      "' yi",
+      "'y i",
+      "Ġп ÑĢазд",
+      "ĠпÑĢа зд",
+      "ĠÐŀ ÑĢг",
+      "ĠÐŀÑĢ г",
+      "Ġ 并",
+      "Ġå¹ ¶",
+      "ĠÑģ ви",
+      "ĠÑģв и",
+      "ĠÙħÛĮ داÙĨ",
+      "ĠnaÅ¡e ho",
+      "ĠBA Åŀ",
+      "å» Ĭ",
+      "Ì Ī",
+      "ãģĵ ãģĿ",
+      "à¹ĩà¸Ļ à¸ŀ",
+      "οÏģ ειο",
+      "Ġбаг аÑĤ",
+      "γ ει",
+      "γε ι",
+      "μ είο",
+      "με ίο",
+      "à¹Īà¸ĩ à¸Ĭาà¸ķ",
+      "ĠHizmet leri",
+      "ĠAfr ika",
+      "ĠAf rika",
+      "Ġted bir",
+      ", ､",
+      "ä¸ī 级",
+      "ÐİÑĭÑŁN ÐİÑĭÑŁN",
+      "ĠÐļ ÑĢÑĸм",
+      "Ġa ray",
+      "Ġar ay",
+      "Ġara y",
+      "Ġböyle ce",
+      "к оÑĤ",
+      "ко ÑĤ",
+      "éĻ °",
+      "åĽ½ éļĽ",
+      "t ÄĽl",
+      "tÄĽ l",
+      "Ġp olis",
+      "Ġpol is",
+      "Ġpo lis",
+      "Ġu vol",
+      "Ġuv ol",
+      "ĠìĪĺ ê°ķ",
+      "çĶµ èĦij",
+      "Ġs ami",
+      "Ġsa mi",
+      "Ġsam i",
+      "Ġشاخ Ùĩ",
+      "Ġв ÑģÑĮого",
+      "ĠвÑģ ÑĮого",
+      "ĠØŃد اÙĤÙĦ",
+      "Ġ iken",
+      "Ġi ken",
+      "Ġik en",
+      "ãĤ¯ãĥ© ãĥĸ",
+      "Ġzá vod",
+      "Ġzáv od",
+      "ब ल",
+      "ë°° ìĨ¡",
+      "éĩĩ è´Ń",
+      "ëł ¬",
+      "Ġ ।ĊĊ",
+      "Ġ। ĊĊ",
+      "Ġ।Ċ Ċ",
+      "Ġê°ģ ê°ģ",
+      "Ġм ак",
+      "Ġма к",
+      "Ïģα Ïĥη",
+      "ĠiÅŁlem i",
+      "ãģĹ ãģ¦ãģĦãģ¾ãģĻ",
+      "ãģĹãģ¦ ãģĦãģ¾ãģĻ",
+      "ãģĹãģ¦ãģĦ ãģ¾ãģĻ",
+      "ĠP ek",
+      "ĠPe k",
+      "Ñİ Ð½",
+      "Ġvel kou",
+      "Ġvelk ou",
+      "åĬŀ çIJĨ",
+      "å®ĥ 们",
+      "Ġ èIJ¬",
+      "ĠèIJ ¬",
+      "ĠнаÑĢод Ñĥ",
+      "ĠнаÑĢ одÑĥ",
+      "Ġch ó",
+      "ĠH iç",
+      "ĠHi ç",
+      "Û³ Ûµ",
+      "Ġ รà¸Ńà¸ļ",
+      "Ġร à¸Ńà¸ļ",
+      "Û³ Û¶",
+      "à¸Ĥ ว",
+      "ä½į æĸ¼",
+      "ĠС ÑĤа",
+      "ĠСÑĤ а",
+      "ั à¸Ļม",
+      "ัà¸Ļ ม",
+      "ाप à¤ķ",
+      "ĠÑĥ ÑĢок",
+      "ãĤ¢ ãĥ¡ãĥªãĤ«",
+      "Ġз мож",
+      "Ġзм ож",
+      "sk ému",
+      "ské mu",
+      "ském u",
+      "Ġ è»Ĭ",
+      "Ġè» Ĭ",
+      "ĠاختÛĮ ار",
+      "ĠP Åĺ",
+      "л Ñıв",
+      "лÑı в",
+      "Ġ маз",
+      "Ġм аз",
+      "Ġма з",
+      "Ġözel liÄŁi",
+      "åij¼ ãģ°",
+      "Ġbir inin",
+      "Ġbiri nin",
+      "Ġод не",
+      "Ì Ĩ",
+      "ä»ĸ ãģ®",
+      "建 ç¯ī",
+      "поÑģ еÑĢед",
+      "ห ลà¸Ķ",
+      "หล à¸Ķ",
+      "å¤ļ ãģĦ",
+      "ÏĦή ÏĥειÏĤ",
+      "Ġر ÙĪÙĨد",
+      "ĠرÙĪ ÙĨد",
+      "èģ ½",
+      "ì¤ij ìĹIJ",
+      "ìĬ¤ íĭ°",
+      "Ġз вÑĸÑĤ",
+      "Ġзв ÑĸÑĤ",
+      "ĠаÑĢ ÑĤи",
+      "Ġc Æ°á»Ŀi",
+      "ĠcÆ° á»Ŀi",
+      "ın dır",
+      "ınd ır",
+      "Ġг олод",
+      "Ġгол од",
+      "ا زد",
+      "از د",
+      "à¹Īาว ว",
+      "ãĥ¡ ãĥ©",
+      "عÙĨ ÙĪاÙĨ",
+      "% )Ċ",
+      "%) Ċ",
+      "ĠÑħолод илÑĮ",
+      "人 们",
+      "C Ä°",
+      "ÐĹ Ð°Ð¿",
+      "ÐĹа п",
+      "ĠpÅĻ isp",
+      "ĠpÅĻi sp",
+      "Ġdurum larda",
+      "ÑĢ Ñĸд",
+      "ÑĢÑĸ д",
+      "Âł У",
+      "Ġε ÏĨαÏģ",
+      "Ġs prav",
+      "Ġsp rav",
+      "Ġspr av",
+      "ĠоÑĤÑĢим аннÑı",
+      "ï¼Į 没æľī",
+      "о вала",
+      "ов ала",
+      "ова ла",
+      "овал а",
+      "Ġng ại",
+      "ãĢĤ 大",
+      "Ġ даеÑĤ",
+      "Ġд аеÑĤ",
+      "Ġда еÑĤ",
+      "ĠpÃŃs em",
+      "ÑĨ ÑıÑĤÑĮ",
+      "ÑĨÑı ÑĤÑĮ",
+      "ov nÄĽ",
+      "ë¦ ī",
+      "Ġê² ģ",
+      "Ñģ ÑĤин",
+      "ÑģÑĤ ин",
+      "ÑģÑĤи н",
+      "ĠS ayı",
+      "ĠSa yı",
+      "ĠSay ı",
+      "ãĢĭ çļĦ",
+      "Ġyol uyla",
+      "Ġyolu yla",
+      "елеÑĦ он",
+      "Ġr áno",
+      "Ġrá no",
+      "Ġíĸī ëıĻ",
+      "ĠاÙĦخاÙħ سة",
+      "Ġповин на",
+      "ÅĻ ila",
+      "ÅĻi la",
+      "ÅĻil a",
+      "Ġà¤ļ रण",
+      "Ġà¤ļर ण",
+      "Ġبرگ زار",
+      "Ġبرگز ار",
+      "ìļ´ ëį°",
+      "à¹Ģà¸Ľ à¸Ńร",
+      "Ġdal eko",
+      "led nÃŃ",
+      "åIJį 稱",
+      "лив ÑĸÑģÑĤÑĮ",
+      "ливÑĸ ÑģÑĤÑĮ",
+      "Ġ몸 ìĿĦ",
+      "о ÑĢÑĸв",
+      "оÑĢ Ñĸв",
+      "оÑĢÑĸ в",
+      "Ц е",
+      "بد أ",
+      "ë°ĺ 기",
+      "k rát",
+      "kr át",
+      "ä¸į 足",
+      "Ġolduk ları",
+      "len iyor",
+      "Ġìĭľ íĸī",
+      "ĠпÑĢи нимаÑĤÑĮ",
+      "à¸Ĥà¸Ńà¸ĩ ร",
+      "ÏĪ ει",
+      "ÏĪε ι",
+      "Ġ ẩn",
+      "ت س",
+      "ĠÑĤ ай",
+      "ĠÑĤа й",
+      "Ġнев озможно",
+      "åıĬ ãģ³",
+      "r oti",
+      "ro ti",
+      "rot i",
+      "ï½ Ń",
+      "д ом",
+      "до м",
+      "ой но",
+      "å£ Ĭ",
+      "说 çļĦ",
+      "Ġsk oro",
+      "ni ÄįnÃŃ",
+      "niÄį nÃŃ",
+      "ĠProf es",
+      "ĠÑħ ÑĢониÑĩеÑģ",
+      "Ġ주 문",
+      "ĠZ n",
+      "ĠÑģ лой",
+      "ĠÑģл ой",
+      "ĠÑģло й",
+      "Îł Ïģο",
+      "æĮĩ æķ°",
+      "ĠпеÑĢ еÑĪ",
+      "ĠпеÑĢе ÑĪ",
+      "à¥ģà¤ķ स",
+      "Ġê°Ģ ìłķ",
+      "Ġ íķĺë©´",
+      "Ġíķĺ ë©´",
+      "Û±Û¹ Û´",
+      "к Ñĥл",
+      "кÑĥ л",
+      "ÙĬ ÙĦا",
+      "ÙĬÙĦ ا",
+      "ĠدÙĪب ارÙĩ",
+      "| l",
+      "ĠÐľ Ñĥ",
+      "н ила",
+      "ни ла",
+      "нил а",
+      "ãģ¦ ãģĦãģ¾ãģĻ",
+      "ãģ¦ãģĦ ãģ¾ãģĻ",
+      "m acı",
+      "ma cı",
+      "mac ı",
+      "ãģŁ ãģ¡ãģ¯",
+      "ãģŁãģ¡ ãģ¯",
+      "ĠاÙĦÙĥ تاب",
+      "移 åĭķ",
+      "λ μ",
+      "_ ï¼ı",
+      "Ġê°Ģ ìŀħ",
+      "èħ ¾",
+      "ĠпÑĢез иденÑĤ",
+      "Ġë¶Ħ ìķ¼",
+      "a hy",
+      "ah y",
+      "Å¡et ÅĻenÃŃ",
+      "Å¡etÅĻ enÃŃ",
+      "éĵ º",
+      "ĠpÅĻÃŃ ro",
+      "Ðķ Т",
+      "ĠìļĶ ì²Ń",
+      "Ġmoh lo",
+      "Ġmohl o",
+      "å¿ĥ çIJĨ",
+      "Ġvysok é",
+      "& uuml",
+      "ÏĦ ικα",
+      "ÏĦικ α",
+      "ÏĦι κα",
+      "ìĹħ ì²´",
+      "ãģ§ ãģĤ",
+      "ราย à¸ĩาà¸Ļ",
+      "ĠpÅĻÃŃspÄĽ v",
+      "Ġet miÅŁtir",
+      "Ġetm iÅŁtir",
+      "ĠetmiÅŁ tir",
+      "她 们",
+      "ÏĢ λα",
+      "ÏĢλ α",
+      "ứ a",
+      "Ġ 说",
+      "Ġè¯ ´",
+      "ĠÑģо Ñģед",
+      "ĠÑģоÑģ ед",
+      "åĩ ī",
+      "ĠÐł е",
+      "åİŁ æĿ¥",
+      "ĠÐIJÑĢ Ñħ",
+      "ب ÙĬÙĨ",
+      "بÙĬ ÙĨ",
+      "åľ° 说",
+      "Ġ ört",
+      "Ġö rt",
+      "Ġör t",
+      "ĠΣ εÏĢ",
+      "ĠΣε ÏĢ",
+      "ÂŃ ÙĩاÛĮ",
+      "ĠاÙĦ اÙĤتص",
+      "尽 管",
+      "ÑĤ Ñĭй",
+      "ÑĤÑĭ й",
+      "t ains",
+      "ta ins",
+      "tain s",
+      "ÙĢ ÙĦ",
+      "ç§ijæĬĢ æľīéĻIJåħ¬åı¸",
+      "æı ®",
+      "ัà¸ķ à¸ĸ",
+      "á»Ĺ ng",
+      "ล าà¸Ķ",
+      "ลา à¸Ķ",
+      "æļ ®",
+      "ĠÙĨÙģ سÙĩ",
+      "ĠÙĨÙģس Ùĩ",
+      "Ġ çľĭ",
+      "Ġçľ ĭ",
+      "Ġ ãģ¿",
+      "Ġt arım",
+      "Ġtar ım",
+      "Û±Û¹ Ûµ",
+      "ĠÎ Ĭ",
+      "Ġkom plex",
+      "Ġkomple x",
+      "Ġkomp lex",
+      "ĠNh Ä©",
+      "è´¹ çĶ¨",
+      "Ġکاربر اÙĨ",
+      "ÅĪ ovánÃŃ",
+      "Ġ ků",
+      "Ġk ů",
+      "д ап",
+      "да п",
+      "Îķ Χ",
+      "ê·¸ ëŀĺ",
+      "Ġdön dü",
+      "人 åĵ¡",
+      "ĠT iá»ĥu",
+      "ĠÙĪÛĮر اÛĮØ´",
+      "Ġö ngör",
+      "ĠÙĪ غÙĬر",
+      "ĠÑģ кÑĢÑĭ",
+      "ĠÑģк ÑĢÑĭ",
+      "âĢIJ '",
+      "Ġ немÑĥ",
+      "Ġн емÑĥ",
+      "Ġне мÑĥ",
+      "Ġнем Ñĥ",
+      "ĠH á»ĩ",
+      "ĠHá» ĩ",
+      "Ġdüzen li",
+      "ĠsoutÄĽ že",
+      "ãĢģ ãĥŀ",
+      "ÏĦο μα",
+      "ÄĽ lÃŃ",
+      "ÄĽl ÃŃ",
+      "ĠØ£ ÙĦÙħاÙĨ",
+      "ĠØ£ÙĦ ÙħاÙĨ",
+      "çł ²",
+      "Ġtr Ãł",
+      "Ġ ä¸ĸçķĮ",
+      "Ġä¸ĸ çķĮ",
+      "ay ız",
+      "ayı z",
+      "ım lı",
+      "ĠاÙĦØ£ Ùģ",
+      "íķĺ ëĬĶëį°",
+      "íķĺëĬĶ ëį°",
+      "в ано",
+      "ва но",
+      "ван о",
+      "ĠpÅĻi Äįemž",
+      "Ùĥ ÙĬب",
+      "ÙĥÙĬ ب",
+      "ĠмаÑĤ емаÑĤи",
+      "м ени",
+      "мен и",
+      "ме ни",
+      "ĠпÑĢо екÑĤÑĥ",
+      "ĠпÑĢоек ÑĤÑĥ",
+      "ĠпÑĢоекÑĤ Ñĥ",
+      "ี à¹Ĥà¸Ń",
+      "ีà¹Ĥ à¸Ń",
+      "о Ñĥ",
+      "ĠاÙĦ شرÙĥØ©",
+      "ĠاÙĦشر ÙĥØ©",
+      "æ³ £",
+      "ÙĪÙĤ ÙĬت",
+      "ÑĪ ив",
+      "ÑĪи в",
+      "Ġperson el",
+      "Ġpersone l",
+      "Ġperso nel",
+      "ش تر",
+      "شت ر",
+      "à¸Ķ า",
+      "Ġë ª½",
+      "Ġëª ½",
+      "åĿIJ åľ¨",
+      "о ке",
+      "ок е",
+      "Ġë§Ī ë²ķ",
+      "ĠØ£ ÙĨا",
+      "ĠØ£ÙĨ ا",
+      "ëł µ",
+      "ĠÙħب اÙĨÛĮ",
+      "èĭ ¹æŀľ",
+      "Ġ ศร",
+      "Ġศ ร",
+      "ĠÐĽ ÑĥÑĩ",
+      "ĠÐĽÑĥ Ñĩ",
+      "ÎŁ ΥΣ",
+      "ÎŁÎ¥ Σ",
+      "ĠÄį á",
+      "ãģĽ ãģ¦",
+      "Ġk Ä±ÅŁ",
+      "Ġkı ÅŁ",
+      "ÑĪ ев",
+      "ÑĪе в",
+      "æĮĩ 导",
+      "à¹ģละ ม",
+      "Ġvol eb",
+      "Ġvole b",
+      "ĠÑģи лÑĭ",
+      "ĠÑģил Ñĭ",
+      "Ġdruh ou",
+      "Ġdru hou",
+      "Ġ ì°¬",
+      "Ġì° ¬",
+      "ĠìŀĪ ìĿĮ",
+      "Υ Σ",
+      "ä¸į å®ī",
+      "Ġ ìĹĨìĿĮ",
+      "ĠìĹĨ ìĿĮ",
+      "Ġde term",
+      "Ġdet erm",
+      "Ġdeter m",
+      "ĠاÙĦÙħ عÙĦÙĪÙħات",
+      "íĺ ¹",
+      "âĻ ¡",
+      "à¥įब न",
+      "Ġخش Ú©",
+      "ĠN ová",
+      "ĠNo vá",
+      "ĠNov á",
+      "ĠÑĦÑĥнда менÑĤ",
+      "ĠпÑĢогÑĢам и",
+      "ĠпÑĢогÑĢа ми",
+      "ĠпÑĢог ÑĢами",
+      "ĠعÙĦ ÙĬÙĥ",
+      "ĠعÙĦÙĬ Ùĥ",
+      "। ĊĊ",
+      "।Ċ Ċ",
+      "Ġver iyor",
+      "Ġveri yor",
+      "Ġ ÑĶв",
+      "ĠÑĶ в",
+      "ĠìŀĪ ëĭ¤ê³ł",
+      "ĠìŀĪëĭ¤ ê³ł",
+      "ĠاÙĦØ£Ùħ رÙĬÙĥÙĬ",
+      "ĠاÙĦØ£Ùħر ÙĬÙĥÙĬ",
+      "Ġå¤ĸéĥ¨ ãĥªãĥ³ãĤ¯",
+      "Ġ ä¿®",
+      "Ġп ÑĥÑĤи",
+      "ĠпÑĥÑĤ и",
+      "ĠпÑĥ ÑĤи",
+      "Ġο Ïģγ",
+      "ĠоÑģнов ном",
+      "Ġ наÑĢÑĥж",
+      "Ġна ÑĢÑĥж",
+      "ĠнаÑĢ Ñĥж",
+      "Ġми ÑĢе",
+      "ĠмиÑĢ е",
+      "o vÄĽt",
+      "ov ÄĽt",
+      "ovÄĽ t",
+      "Ġíĥ IJ",
+      "Ġsok ak",
+      "Ġspolup ráci",
+      "ÐĶ Ðļ",
+      "Ġ åĺ",
+      "Ġå ĺ",
+      "âĸįâĸįâĸįâĸįâĸįâĸįâĸįâĸį âĸįâĸįâĸįâĸįâĸįâĸįâĸįâĸį",
+      "Ġ ³³³³",
+      "ĠÂł ³³³",
+      "Ġ³³ ³³",
+      "Ġ³³³ Âł",
+      "Ġhay ır",
+      "Ġ ìĻĶ",
+      "ĠìĻ Ķ",
+      "æĤ¨ çļĦ",
+      "æĮ º",
+      "Ġ 민주",
+      "Ġ민 주",
+      "Ġhot elu",
+      "Ġhotel u",
+      "ี à¸ľ",
+      "ìŀIJ ëıĻ",
+      "ä¼¼ çļĦ",
+      "ÎŃν ÏĦÏģο",
+      "ÎŃνÏĦ Ïģο",
+      "Ø´ ÙĪ",
+      "Ġ é¤",
+      "Ġé ¤",
+      "Ġ λι",
+      "Ġλ ι",
+      "Ġol maktadır",
+      "Ġolmak tadır",
+      "ĠоÑģ веÑī",
+      "Ġв ина",
+      "Ġви на",
+      "Ġвин а",
+      "Ġخاص Ø©",
+      "r ana",
+      "ra na",
+      "ran a",
+      "γÏģα ÏĨή",
+      "γÏģαÏĨ ή",
+      "ÑĨ еÑģ",
+      "ÑĨе Ñģ",
+      "ĠdoÄŁru lt",
+      "ĠdoÄŁr ult",
+      "ĠÙĤرار داد",
+      "ĠÙĤرارد اد",
+      "ĠÐļ ал",
+      "ĠÐļа л",
+      "ê²½ ìłľ",
+      "Ïĩ ÏĮ",
+      "Ñĥ ÑİÑīий",
+      "ÑĥÑİ Ñīий",
+      "ÑĥÑİÑī ий",
+      "ëĭ ĺìĿ´",
+      "ëĭĺ ìĿ´",
+      "ë Į",
+      "л аз",
+      "ла з",
+      "Ġng ừng",
+      "i sku",
+      "is ku",
+      "isk u",
+      "ìĦł ê±°",
+      "ĠÑįлек ÑĤÑĢон",
+      "ĠÑįлекÑĤÑĢ он",
+      "ĠV oj",
+      "ĠVo j",
+      "н Ñıми",
+      "нÑı ми",
+      "ĠÙĪ Ø£ÙĨ",
+      "ĠÙĪØ£ ÙĨ",
+      "äº Ń",
+      "绣 计",
+      "ĠÅŁ iÅŁ",
+      "ĠÅŁi ÅŁ",
+      "ãĢį çļĦ",
+      "æŃ ¯",
+      "Ġкол лек",
+      "Ġд виж",
+      "Ġдв иж",
+      "Ġдви ж",
+      "Ġn á»Ńa",
+      "Äįas ÃŃ",
+      "Ġs onu",
+      "Ġso nu",
+      "Ġson u",
+      "ĠмеÑħ анÑĸз",
+      "ž ený",
+      "že ný",
+      "žen ý",
+      "Ġза ÑģÑĤÑĥп",
+      "ĠзаÑģÑĤ Ñĥп",
+      "ê´Ģ 볨",
+      "ĠÑĤоваÑĢ Ñĸв",
+      "ĠÑĤов аÑĢÑĸв",
+      "Ġ ì¼ĢìĿ´",
+      "Ġì¼ ĢìĿ´",
+      "à¥ģà¤Ĺ त",
+      "Ġzá sob",
+      "мов ÑĸÑĢ",
+      "u fac",
+      "uf ac",
+      "ů ležit",
+      "Ġви гоÑĤов",
+      "Ġвиг оÑĤов",
+      "ĠاÙĦÙĨ ÙĪ",
+      "Ġع اÙħا",
+      "ĠعاÙħ ا",
+      "æģ ¨",
+      "ĠìĿ´ë¯¸ ì§Ģ",
+      "Ġt voÅĻ",
+      "Ġtv oÅĻ",
+      "Ġvyu žitÃŃ",
+      "Ġgel iÅŁim",
+      "ĠgeliÅŁ im",
+      "ì³ ¤ëĭ¤",
+      "หà¸Ļ à¸Ńà¸ĩ",
+      "ĠìĿ¸ ìłķ",
+      "à¥į दर",
+      "à¥įद र",
+      "ĠпеÑĢед а",
+      "ĠпеÑĢе да",
+      "ĠздÑĸйÑģ неннÑı",
+      "ÙĨ ع",
+      "è¡£ æľį",
+      "Ġl oa",
+      "Ġlo a",
+      "íĻ Ī",
+      "èĭ± åĽ½",
+      "ĠD ruh",
+      "ĠDr uh",
+      "Ø® اÙĨ",
+      "д ам",
+      "да м",
+      "аÑĤелÑĮ нÑĭÑħ",
+      "θ ÏģÏİ",
+      "ĠØ£ Ùħر",
+      "ĠØ£Ùħ ر",
+      "ĠÅĻ ada",
+      "Ġbul uÅŁ",
+      "ĠÑĤÑĢанÑģп оÑĢ",
+      "ĠÑĤÑĢанÑģ поÑĢ",
+      "ĠÙĤ تÙĦ",
+      "ĠTa rif",
+      "ĠTar if",
+      "R us",
+      "Ru s",
+      "ĠзаÑģ Ñĸд",
+      "ĠÄ° h",
+      "l eyin",
+      "ley in",
+      "Ġvy rá",
+      "ĠD ÄĽ",
+      "иб ли",
+      "a vou",
+      "av ou",
+      "avo u",
+      "ĠÐĵеÑĢ м",
+      "н емÑĥ",
+      "не мÑĥ",
+      "нем Ñĥ",
+      "Ġкон ÑĨеп",
+      "ĠконÑĨе п",
+      "ĠÙĤ ادر",
+      "Ġsou bor",
+      "Ġl á»iji",
+      "Ġ çµIJ",
+      "Ġçµ IJ",
+      "л еннÑĭй",
+      "лен нÑĭй",
+      "κ Ïħ",
+      "Ġдопом аг",
+      "à¸ŀวà¸ģ à¹Ģà¸Ĥ",
+      "Ġqu ang",
+      "Ġq uang",
+      "Ġqua ng",
+      "Ġquan g",
+      "ĠØ· ÙĦا",
+      "ĠØ·ÙĦ ا",
+      "Ġ éĩĮ",
+      "Ġé ĩĮ",
+      "Ġéĩ Į",
+      "ĠÙĨÙħÙĪد ار",
+      "ĠÅŁ ar",
+      "ĠÑģп Ñĸл",
+      "ÂŃ n",
+      "ì§Ģ ìļĶ",
+      "åīį å¾Ģ",
+      "åħ³ éĶ®",
+      "å®ŀ åľ¨",
+      "éŁ³ 楽",
+      "ĠÙħسئ ÙĦÙĩ",
+      "Ġy eme",
+      "Ġye me",
+      "Ġyem e",
+      "ĠÑĪ аÑħ",
+      "기 ìĪł",
+      "Ġ สำà¸Ļ",
+      "Ġสำ à¸Ļ",
+      "ĠÙĪرزش ÛĮ",
+      "ĠÙĪرز Ø´ÛĮ",
+      "ãģĹ ãģŁãĤī",
+      "ãģĹãģŁ ãĤī",
+      "ί ÏĥÏī",
+      "ίÏĥ Ïī",
+      "о кон",
+      "ок он",
+      "око н",
+      "ãģŁ ãĤī",
+      "ĠØ¥ ÙĦÙĬÙĩ",
+      "ĠØ¥ÙĦÙĬ Ùĩ",
+      "ĠØ¥ÙĦ ÙĬÙĩ",
+      "Ġآذ رب",
+      "Ġr á»Ŀi",
+      "Ġod ak",
+      "Ġм огÑĥ",
+      "Ġмог Ñĥ",
+      "Ġмо гÑĥ",
+      "ĠÚ¯ ÙĨ",
+      "è² ¼",
+      "ed la",
+      "edl a",
+      "Ġоп ÑĭÑĤ",
+      "la maktadır",
+      "lamak tadır",
+      "å°¼ äºļ",
+      "éĥ½ ä¼ļ",
+      "ĠÎĺε ÏĥÏĥα",
+      "Ġв ог",
+      "Ġво г",
+      "ç»Ī äºİ",
+      "ĠÑĥÑĢов не",
+      "Ġv lak",
+      "Ġvl ak",
+      "ĠØ¢ ÙĦØ©",
+      "ĠØ¢ÙĦ Ø©",
+      "Ġε ιδ",
+      "Ġει δ",
+      "â ĩ",
+      "д ÑĥÑĤ",
+      "дÑĥ ÑĤ",
+      "Ñĸ нг",
+      "Ñĸн г",
+      "ĠØ£Ùħ رÙĬÙĥÙĬ",
+      "ĠØ£Ùħر ÙĬÙĥÙĬ",
+      "از ÙĨد",
+      "Ġب اÙĦØ£",
+      "ĠباÙĦ Ø£",
+      "Ġत न",
+      "Ġkay det",
+      "룬 리",
+      "Ġ drž",
+      "Ġd rž",
+      "Ġdr ž",
+      "Ġп енÑģ",
+      "Ġпен Ñģ",
+      "ĠpÅĻÃŃ Äį",
+      "ĠТ олÑĮко",
+      "Ġб аÑĤаÑĢ",
+      "Ġба ÑĤаÑĢ",
+      "éĵģ è·¯",
+      "ĠÙ¾ÛĮ ÚĨ",
+      "ĠÎĵ εÏī",
+      "ĠαÏħ ÏĦά",
+      "Äŀ I",
+      "ĠакÑĤив но",
+      "ÎĹ ÎľÎij",
+      "ÎĹÎľ Îij",
+      "Ġvar lık",
+      "Ġ åıª",
+      "Ġåı ª",
+      "ĠзаÑī иÑĤÑĭ",
+      "ĠзаÑīиÑĤ Ñĭ",
+      "л им",
+      "ли м",
+      "ĠÙħشاÙĩ دة",
+      "и ком",
+      "ик ом",
+      "Ġì¡° ìĤ¬",
+      "о ген",
+      "ог ен",
+      "Ġm ấy",
+      "g ii",
+      "gi i",
+      "èĽ ĩ",
+      "ĠØ® ÙĪÛĮØ´",
+      "ĠØ®ÙĪ ÛĮØ´",
+      "Ġn ová",
+      "Ġno vá",
+      "Ġnov á",
+      "к овой",
+      "ков ой",
+      "ково й",
+      "Ġkan ıt",
+      "Ġkanı t",
+      "éĿ¢ è®®",
+      "ĠرÙĪست ا",
+      "ìĸ´ ê°Ģ",
+      "ĠоÑĤноÑĪ ениÑı",
+      "Ġhodnot y",
+      "ÙĪ رات",
+      "ÙĪر ات",
+      "ÙĪرا ت",
+      "ĠpÅĻ ÃŃst",
+      "ĠpÅĻÃŃ st",
+      "Ġth á»į",
+      "Ġthá» į",
+      "Ġçık art",
+      "Ġçıkar t",
+      "Ġçı kart",
+      "о обÑĢаз",
+      "Ġnem ÄĽl",
+      "Âł ro",
+      "ĠدÙĪÙĦ تÛĮ",
+      "ĠدÙĪÙĦت ÛĮ",
+      "ี ,",
+      "ä¸Ģ 度",
+      "ia omi",
+      "iao mi",
+      "åĹ İ",
+      "Ùı ع",
+      "ĠваÑĢи ан",
+      "Ġpod aÅĻilo",
+      "ĠëĤĺ ê°Ģ",
+      "èIJ¥ ä¸ļ",
+      "ĠабÑģолÑİÑĤ но",
+      "Ġë¸Į ëĿ¼",
+      "ĠгоÑĢ из",
+      "a ģın",
+      "aģ ın",
+      "aģı n",
+      "Ġyer ini",
+      "Ġyeri ni",
+      "à¹īา à¸Ļà¸Ķ",
+      "à¹īาà¸Ļ à¸Ķ",
+      "æIJ ¬",
+      "Ġb alık",
+      "Ġbal ık",
+      "Ġba lık",
+      "ĠÅŁ ans",
+      "认 è¯Ĩ",
+      "Ġistedi ÄŁiniz",
+      "Ġjist ÄĽ",
+      "Ġ ìĪĺê°Ģ",
+      "ĠìĪĺ ê°Ģ",
+      "ï¼Į ä¸Ĭ",
+      "à¤ľ ब",
+      "Ġви Ñıви",
+      "ĠвиÑıв и",
+      "ë§ ¥",
+      "ãģĹ ãģ¦ãĤĭ",
+      "ãģĹãģ¦ ãĤĭ",
+      "ÙĬÙĥ ا",
+      "ĠH üs",
+      "c ının",
+      "Ġश त",
+      "ĠÑĢаÑģп олаг",
+      "ĠÑģпÑĢав ж",
+      "ืà¸Ń à¸ĸ",
+      "ĠвеÑĢ ÑĤик",
+      "Ġvy stav",
+      "ĠÑĢе алÑĸзаÑĨÑĸÑĹ",
+      "в ами",
+      "ва ми",
+      "ãĤ¹ ãĥĨãĤ£",
+      "ãĤ¹ãĥĨ ãĤ£",
+      "ëħ ģ",
+      "ĠÑĢе ÑĩÑĸ",
+      "ĠÑĢеÑĩ Ñĸ",
+      "Ùģ اÙĦ",
+      "िà¤ķ à¤Ł",
+      "ĠвозÑĢаÑģÑĤ е",
+      "к аÑģ",
+      "ка Ñģ",
+      "ĠÐĺ Ñģ",
+      "Ġл Ñĸк",
+      "ĠлÑĸ к",
+      "ĠÏĥη μαν",
+      "м енÑĤÑĥ",
+      "мен ÑĤÑĥ",
+      "менÑĤ Ñĥ",
+      "н ÑıÑİÑĤ",
+      "нÑı ÑİÑĤ",
+      "æŁ ´",
+      "Ġθ εÏī",
+      "Ġθε Ïī",
+      "çĬ¯ 罪",
+      "ĠÙĤ طر",
+      "ĠÙĤØ· ر",
+      "ÐĶ ÐIJ",
+      "- |",
+      "Ġ ÑģÑĤÑĸ",
+      "ĠÑģ ÑĤÑĸ",
+      "ĠÑģÑĤ Ñĸ",
+      "Ġu yum",
+      "Ġuy um",
+      "Ġpot ÅĻeba",
+      "ĠpotÅĻeb a",
+      "ĠعÙħÙĦ ÛĮات",
+      "ĠعÙħÙĦÛĮ ات",
+      "å¥ ª",
+      "ا خر",
+      "اخ ر",
+      "ĠÚ© ساÙĨÛĮ",
+      "ت Ùħر",
+      "تÙħ ر",
+      "ÑĮ еÑĢ",
+      "ÑĮе ÑĢ",
+      "ĠN ez",
+      "ĠNe z",
+      "íļĮ ìĤ¬",
+      "ĠBank ası",
+      "е гÑĢа",
+      "ег ÑĢа",
+      "à¸Ĥà¸ĵะ à¸Ĺ",
+      "åIJĪ æł¼",
+      "ĠìŬ룬 ë¶Ħ",
+      "y asal",
+      "ya sal",
+      "yas al",
+      "Ġ è¡ĮæĶ¿",
+      "Ġè¡Į æĶ¿",
+      "åĬ ī",
+      "dık tan",
+      "ãĤ¢ãĥ« ãĥIJ",
+      "ĠاÛĮÙĨ ÚĨ",
+      "Ġdij ital",
+      "å° ĺ",
+      "ĠÑĢаз меÑī",
+      "ĠÑĢазм еÑī",
+      "ĠкÑĸлÑĮ коÑģÑĤÑĸ",
+      "ĠEv ropy",
+      "ĠEvrop y",
+      "ĠÑĢоз ви",
+      "ÑİÑī ÑĥÑİ",
+      "Ġ ong",
+      "Ġo ng",
+      "Ġon g",
+      "Ġhe psi",
+      "Ġhep si",
+      "v ailability",
+      "vail ability",
+      "Ġتص ÙħÙĬÙħ",
+      "ĠتصÙħ ÙĬÙħ",
+      "Ñĥ йÑĤе",
+      "Ñĥй ÑĤе",
+      "ह ल",
+      "ĠÅ¡ iro",
+      "Ġp ás",
+      "Ġpá s",
+      ";; ;;;;",
+      ";;;; ;;",
+      ";;; ;;;",
+      "éħį åIJĪ",
+      "ĠاÙĦعاÙĦÙħ ÙĬØ©",
+      "ÐĴ о",
+      "h af",
+      "ha f",
+      "l áv",
+      "lá v",
+      "Ġb ì",
+      "Ġm ůj",
+      "Ġmů j",
+      "ê»ĺ ìĦľ",
+      "ÂłB f",
+      "ĠÑģпÑĢоÑģ ил",
+      "âĢĮÚ©ÙĨ ÙĨدÙĩ",
+      "âĢĮÚ©ÙĨÙĨد Ùĩ",
+      "ÙĨد ÙĬØ©",
+      "ÙĨدÙĬ Ø©",
+      "çī¹ èī²",
+      "Ġìķ ¨",
+      "ุษ ย",
+      "ĠФ оÑĢ",
+      "пиÑģ ок",
+      "пи Ñģок",
+      "u žel",
+      "ım lar",
+      "çĬ¶ æ³ģ",
+      "Ġãĥ¬ ãĥĩãĤ£ãĥ¼ãĤ¹",
+      "Ñħ ови",
+      "Ñħов и",
+      "Ñħо ви",
+      "ÂłK Äį",
+      "Ñĩ им",
+      "Ñĩи м",
+      "Ġت ÙĪÙħ",
+      "ĠتÙĪ Ùħ",
+      "à¹Ģà¸ģษ à¸ķร",
+      "Ġìĭ± ê¸Ģ",
+      "Ùħ ارات",
+      "Ùħا رات",
+      "Ùħار ات",
+      "ê nh",
+      "ên h",
+      "ĠÅĻ id",
+      "æĬ ¬",
+      "Ñģ иÑİ",
+      "Ñģи Ñİ",
+      "æħ İ",
+      "Ġçev re",
+      "Ġçevr e",
+      "ãĥĪ ãĥ«",
+      "Ġyıl dır",
+      "Ġzá znam",
+      "Ġzáz nam",
+      "æľº åľº",
+      "Ġпо ÑĶ",
+      "ĠвÑĭ ÑĢаÑīи",
+      "Ġ Ùģع",
+      "ĠÙģ ع",
+      "ë »",
+      "Ġدار ÛĮÙħ",
+      "ï¼Į æĽ´",
+      "Ġзем ли",
+      "اب ÙĤات",
+      "ابÙĤ ات",
+      "Ġm á»Ŀi",
+      "Ġmá» Ŀi",
+      "k ých",
+      "ký ch",
+      "ÙĦ اة",
+      "ÙĦا Ø©",
+      "å¸ ½",
+      "بر اÙĩÙĬÙħ",
+      "Ġпо баÑĩ",
+      "Ġпоб аÑĩ",
+      "Ġпоба Ñĩ",
+      "ाà¤ĩ म",
+      "à¹Īาà¸ĩ à¸Ľà¸£à¸°à¹Ģà¸Ĺศ",
+      "ĠìĦ¸ ìĥģ",
+      "Ġпомог аеÑĤ",
+      "ĠÏĦÏĮ Ïĥο",
+      "æĸ ·",
+      "ĠÙģر اÙĪ",
+      "à¹Ħà¸Ľ ย",
+      "erg isi",
+      "Ġ éĻIJ",
+      "ĠéĻ IJ",
+      ". xz",
+      ".x z",
+      "ĠÑģл ÑĥÑħ",
+      "ĠÑģлÑĥ Ñħ",
+      "е коном",
+      "ек оном",
+      "еко ном",
+      "ĠNh ất",
+      "± ط",
+      "ĠëĪĪ ìĿĦ",
+      "Ġ íļĮìĤ¬",
+      "ĠíļĮ ìĤ¬",
+      "Ñ ĵ",
+      "Ġ åIJįçĦ¡ãģĹ",
+      "ĠåIJį çĦ¡ãģĹ",
+      "Ġομά δα",
+      "ĩ Į",
+      "li ÄŁinin",
+      "liÄŁi nin",
+      "liÄŁ inin",
+      "liÄŁini n",
+      "liÄŁin in",
+      "ع اÙĨ",
+      "عا ÙĨ",
+      "Ġز ÙĨÛĮ",
+      "ĠزÙĨ ÛĮ",
+      "T ôi",
+      "Ġet ki",
+      "Ġetk i",
+      "ĠìĹ° ëĿ½",
+      "Ġкон ÑĨа",
+      "è° ĭ",
+      "Ġзем лÑı",
+      "íĻĺ ê²½",
+      "ĠÙħÚ© اÙĨÛĮ",
+      "ĠÙħکاÙĨ ÛĮ",
+      "çĸ ²",
+      "Ġ ç¢",
+      "Ġç ¢",
+      "Ġkur ulan",
+      "Ġkurul an",
+      "Ġkuru lan",
+      "ؤ ÙĪÙĦ",
+      "د Ùī",
+      "ĠاÙĦÙħÙĨ Ø·ÙĤØ©",
+      "Ġn ắng",
+      "ÐŁ Ðļ",
+      "ол ай",
+      "ола й",
+      "Y K",
+      "åij Ĩ",
+      "λ αν",
+      "λα ν",
+      "西 çľģ",
+      "ĠÎĴ αÏĥ",
+      "ĠÎĴα Ïĥ",
+      "ĠíĻķ ìĭ¤",
+      "Z D",
+      "п Ñĸд",
+      "Ġ наÑĩе",
+      "Ġн аÑĩе",
+      "Ġна Ñĩе",
+      "ĠнаÑĩ е",
+      "Ġ ÏĦά",
+      "ĠÏĦ ά",
+      "å½ »",
+      "âĢŀ D",
+      "Ġ èĩº",
+      "Ġèĩ º",
+      "Ġна ÑĪей",
+      "ĠнаÑĪ ей",
+      "ĠtÃŃm to",
+      "Ġت سÙħ",
+      "Ġتس Ùħ",
+      "Ïģθ Ïģο",
+      "令 人",
+      "ĠP azar",
+      "ĠPa zar",
+      "ĠPaz ar",
+      "ãĤĵ ãģ¨",
+      "ç«ĭ åĪ»",
+      "Âģ @",
+      "Ġb ắc",
+      "ìĬ¤ íħĮ",
+      "Ġkadın lar",
+      "fig ur",
+      "ãģ¤ ãģ¶",
+      "Ġæµ Ļæ±Ł",
+      "Ġдек ÑĸлÑĮ",
+      "è¡ Ŀ",
+      "ยà¸Ļ à¹ģà¸Ľà¸¥à¸ĩ",
+      "o let",
+      "ol et",
+      "ole t",
+      "Ġned ok",
+      "n amen",
+      "name n",
+      "na men",
+      "nam en",
+      "åħĦ å¼Ł",
+      "ืà¸Ń à¸Ĥ",
+      "èĤ ĥ",
+      "Ġb üny",
+      "Ġbü ny",
+      "ĠÑĢад Ñıн",
+      "ãĢģ äºĮ",
+      "ан нÑİ",
+      "Ġ æīĭæľº",
+      "Ġæīĭ æľº",
+      "ĠоÑģ лож",
+      "Ġо глÑı",
+      "Ġог лÑı",
+      "Ġسب ز",
+      "Ġaktiv it",
+      "Ġà¤ı प",
+      "ç« ľ",
+      "Ġd iren",
+      "Ġdi ren",
+      "Ġdir en",
+      "Ġdire n",
+      "i в",
+      "ĠY atırım",
+      "ÑĨÑĸй на",
+      "Ġдо мов",
+      "Ġдом ов",
+      "ẳ n",
+      "ĠC oÄŁraf",
+      "Ùģ ÙĪ",
+      "æ°Ĺ ãģ«åħ¥",
+      "ç§ģ ãģ®",
+      "ï½ į",
+      "à¥Į ड",
+      "ĠÐĵÑĢи гоÑĢ",
+      "ĠP eygamber",
+      "ĠPey gamber",
+      "Ġα γα",
+      "Ġαγ α",
+      "Ġef ekt",
+      "ĠìŀĪ ìĸ´ìĦľ",
+      "ĠìŀĪìĸ´ ìĦľ",
+      "ĠплаÑĤ еж",
+      "ĠT rab",
+      "ĠTr ab",
+      "ĠTra b",
+      "o very",
+      "ov ery",
+      "ove ry",
+      "over y",
+      "âĢ¦âĢ¦ ãĢĤ",
+      "Ġyap maya",
+      "Ġнайб ÑĸлÑĮ",
+      "ĠÙħÙĨ زÙĦ",
+      "ÙĪ ÙĬÙĥ",
+      "ÙĪÙĬ Ùĥ",
+      "ıl dıģında",
+      "ıldı ģında",
+      "ıldıģı nda",
+      "ĠpÅĻÃŃpad nÄĽ",
+      "ĠμÏĢο ÏģοÏį",
+      "Ġëĵľ ëĿ¼ë§Ī",
+      "Ġë°© 문",
+      "ĠС им",
+      "ĠСи м",
+      "ک ات",
+      "کا ت",
+      "е ком",
+      "ек ом",
+      "еко м",
+      "ر ÙĬع",
+      "رÙĬ ع",
+      "Ùĩد Ùģ",
+      "æĹı èĩªæ²»",
+      "Ġzm ÄĽn",
+      "ĠzmÄĽ n",
+      "Ġв клад",
+      "Ġвк лад",
+      "Ġ بÙĦغ",
+      "ĠبÙĦ غ",
+      "Ġ ç§ĭ",
+      "Ġç§ ĭ",
+      "N gh",
+      "Ng h",
+      "Ġend iÅŁ",
+      "ĠCumhurbaÅŁ kanı",
+      "ĠK af",
+      "ĠKa f",
+      "Ġ à¹ģหล",
+      "Ġà¹ģ หล",
+      "Ġmut lu",
+      "ĠÑģ иÑĢ",
+      "ĠÑģи ÑĢ",
+      "Ġг Ñĥм",
+      "æ¿ ĥ",
+      "çĤ ī",
+      "ĠB áo",
+      "à¥Ĥ ष",
+      "Ġìłķ íĻķ",
+      "ान स",
+      "ï» ¤",
+      "наÑģлÑĸд ок",
+      "po Äįet",
+      "poÄį et",
+      "ë§ĮìĽIJ ìŀħëĭĪëĭ¤",
+      "ĠìĦľìļ¸ íĬ¹ë³Ħìĭľ",
+      "Îķ ÎĻΣ",
+      "ÎķÎĻ Σ",
+      "ุม à¸Ĭà¸Ļ",
+      "Ġм ÑĸлÑĮ",
+      "ĠмÑĸ лÑĮ",
+      "æ ħĮ",
+      "æħ Į",
+      "Ïĥκε ÏĦαι",
+      "Ïĥκ εÏĦαι",
+      "Ġ ãĢľ",
+      "ĠãĢ ľ",
+      "Ġkal iteli",
+      "ĠÑģмеÑĢ ÑĤÑĮ",
+      "è¼ Ķ",
+      "Ġ биÑĤ",
+      "Ġб иÑĤ",
+      "Ġби ÑĤ",
+      "ĠΣ ÏĦο",
+      "à¸ĩà¹Ģศ ส",
+      "åİŁ æľ¬",
+      "Ġk nÃŃ",
+      "Ġkn ÃŃ",
+      "äºĴ èģĶç½ij",
+      "ĠÑĩеловеÑĩ еÑģ",
+      "çŃ Ĵ",
+      "à¸Īำ หà¸Ļ",
+      "åĩº åİ»",
+      "ãĤ¢ ãĥĭãĥ¡",
+      "å±ķ 示",
+      "r ych",
+      "ry ch",
+      "à¤ħ ब",
+      "o ÅĪ",
+      "jÃŃ cÃŃm",
+      "jÃŃcÃŃ m",
+      "ا ØŃØ«",
+      "اØŃ Ø«",
+      "ĠÙĪاÙĤع ÛĮ",
+      "ĠФедеÑĢа лÑĮ",
+      "ĠФед еÑĢалÑĮ",
+      "Ñģ ам",
+      "Ñģа м",
+      "Ġ ìĺ¥",
+      "Ġìĺ ¥",
+      "åľ° çIJĥ",
+      "Ġs uyu",
+      "Ġsu yu",
+      "Ġsuy u",
+      "s eniz",
+      "sen iz",
+      "à¥ī फ",
+      "Ġê°Ļ ëĭ¤",
+      "ĠпÑĢизна ÑĩеннÑı",
+      "ĠпÑĢизнаÑĩ еннÑı",
+      "ĠS ın",
+      "ĠSı n",
+      "ĠاÙħÙĨ ÛĮت",
+      "Ġl átky",
+      "ĠÐij и",
+      "Ġsür eci",
+      "Ġsüre ci",
+      "Ġsürec i",
+      "·· ··",
+      "Ġê²½ ì°°",
+      "Ġк алÑĮ",
+      "Ġка лÑĮ",
+      "Ġкал ÑĮ",
+      "Ġник ÑĤо",
+      "Ùij Ùħ",
+      "ĠدÙĬ گر",
+      "Ġalın ması",
+      "л еннÑĸ",
+      "лен нÑĸ",
+      "ิว à¹Ģà¸ķà¸Ńร",
+      "à¸Ľà¸ģ à¸Ħรà¸Ńà¸ĩ",
+      "Ġзаконодав ÑģÑĤва",
+      "ãĢĢ ãĤ¤",
+      "Ġëħ¸ íķĺìļ°",
+      "ĠD Ã¼ÅŁ",
+      "Ġг ÑĥÑģÑĤ",
+      "ĠÐĴ аÑĪ",
+      "ĠاÙħ تÛĮ",
+      "Ġpar amet",
+      "Ġparam et",
+      "Ġpara met",
+      "ĠÎłÎ±Î½ εÏĢ",
+      "à¹Į à¸ģร",
+      "à¹Įà¸ģ ร",
+      "ζ α",
+      "ĠëįĶ ìļ±",
+      "ÙĪ ÙĦات",
+      "ÙĪÙĦ ات",
+      "ÙĪÙĦا ت",
+      "в аÑĤиÑģÑı",
+      "ва ÑĤиÑģÑı",
+      "ваÑĤи ÑģÑı",
+      "Ġk ök",
+      "Ġkö k",
+      "ÙĨ ب",
+      "ĠвÑĭÑģок ой",
+      "ãĥ¼ ãĥ¼",
+      "ãĥ¼ãĥ ¼",
+      "éĶ ¦"
+    ]
+  }
+}
\ No newline at end of file
diff --git a/examples/mediatek/models/llm_models/weights/llama3-8B-instruct/tokenizer_config.json b/examples/mediatek/models/llm_models/weights/llama3-8B-instruct/tokenizer_config.json
new file mode 100644
index 0000000000..5777175408
--- /dev/null
+++ b/examples/mediatek/models/llm_models/weights/llama3-8B-instruct/tokenizer_config.json
@@ -0,0 +1,2062 @@
+{
+  "added_tokens_decoder": {
+    "128000": {
+      "content": "<|begin_of_text|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128001": {
+      "content": "<|end_of_text|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "128002": {
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+      "single_word": false,
+      "special": true
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+      "content": "<|reserved_special_token_1|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "128004": {
+      "content": "<|reserved_special_token_2|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "128005": {
+      "content": "<|reserved_special_token_3|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128006": {
+      "content": "<|start_header_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128007": {
+      "content": "<|end_header_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128008": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+    },
+    "128009": {
+      "content": "<|eot_id|>",
+      "lstrip": false,
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+      "single_word": false,
+      "special": true
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+      "special": true
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+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128249": {
+      "content": "<|reserved_special_token_244|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128250": {
+      "content": "<|reserved_special_token_245|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128251": {
+      "content": "<|reserved_special_token_246|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128252": {
+      "content": "<|reserved_special_token_247|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128253": {
+      "content": "<|reserved_special_token_248|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128254": {
+      "content": "<|reserved_special_token_249|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128255": {
+      "content": "<|reserved_special_token_250|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|begin_of_text|>",
+  "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|end_of_text|>",
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 1000000000000000019884624838656,
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}
diff --git a/examples/mediatek/mtk_build_examples.sh b/examples/mediatek/mtk_build_examples.sh
new file mode 100755
index 0000000000..dd0caec264
--- /dev/null
+++ b/examples/mediatek/mtk_build_examples.sh
@@ -0,0 +1,77 @@
+#!/bin/bash
+
+# Exit immediately if a command exits with a non-zero status.
+set -e
+
+# Define the directory where CMakeLists.txt is located
+EXECUTORCH_ROOT=$(realpath "$(dirname "$0")/../..")
+echo EXECUTORCH_ROOT=${EXECUTORCH_ROOT}
+
+# Check if buck2 exists
+BUCK_PATH=${BUCK2:-buck2}
+if [ -z "$BUCK2" ]; then
+    echo "Info: BUCK2 environment variable is not set." >&2
+fi
+
+# Check if the ANDROID_NDK environment variable is set
+if [ -z "$ANDROID_NDK" ]; then
+    echo "Error: ANDROID_NDK environment variable is not set." >&2
+    exit 1
+fi
+
+# Check if the NEURON_BUFFER_ALLOCATOR_LIB environment variable is set
+if [ -z "$NEURON_BUFFER_ALLOCATOR_LIB" ]; then
+    echo "Error: NEURON_BUFFER_ALLOCATOR_LIB environment variable is not set." >&2
+    exit 1
+fi
+
+main() {
+    # Set build directory
+    local build_dir="cmake-android-out"
+
+    # Create and enter the build directory
+    cd "$EXECUTORCH_ROOT"
+    rm -rf "${build_dir}"
+
+    # Configure the project with CMake
+    # Note: Add any additional configuration options you need here
+    cmake -DCMAKE_INSTALL_PREFIX="${build_dir}" \
+          -DBUCK2="$BUCK_PATH" \
+          -DCMAKE_TOOLCHAIN_FILE="$ANDROID_NDK/build/cmake/android.toolchain.cmake" \
+          -DANDROID_ABI=arm64-v8a \
+          -DANDROID_PLATFORM=android-30 \
+          -DANDROID_NATIVE_API_LEVEL=23 \
+          -DEXECUTORCH_BUILD_NEURON=ON \
+          -DNEURON_BUFFER_ALLOCATOR_LIB="$NEURON_BUFFER_ALLOCATOR_LIB" \
+          -B"${build_dir}"
+
+
+    # Build the project
+    cmake --build cmake-android-out --target install --config Release -j5
+
+    ## Build example
+    local example_dir=examples/mediatek
+    local example_build_dir="${build_dir}/${example_dir}"
+    local cmake_prefix_path="${PWD}/${build_dir}/lib/cmake/ExecuTorch;${PWD}/${build_dir}/third-party/gflags;"
+    rm -rf "${example_build_dir}"
+
+    ## MTK original
+    cmake -DCMAKE_PREFIX_PATH="${cmake_prefix_path}" \
+          -DCMAKE_TOOLCHAIN_FILE="$ANDROID_NDK/build/cmake/android.toolchain.cmake" \
+          -DANDROID_ABI=arm64-v8a \
+          -DANDROID_PLATFORM=android-30 \
+          -DCMAKE_FIND_ROOT_PATH_MODE_PACKAGE=BOTH \
+          -DNEURON_BUFFER_ALLOCATOR_LIB="$NEURON_BUFFER_ALLOCATOR_LIB" \
+          -B"${example_build_dir}" \
+          $EXECUTORCH_ROOT/$example_dir
+
+    cmake --build "${example_build_dir}" -j5
+
+    # Switch back to the original directory
+    cd - > /dev/null
+
+    # Print a success message
+    echo "Build successfully completed."
+}
+
+main "$@"
diff --git a/examples/mediatek/requirements.txt b/examples/mediatek/requirements.txt
new file mode 100644
index 0000000000..7c3de886e2
--- /dev/null
+++ b/examples/mediatek/requirements.txt
@@ -0,0 +1,8 @@
+datasets
+huggingface-hub
+safetensors
+sentencepiece
+tokenizers
+transformers
+piq
+pillow
diff --git a/examples/mediatek/shell_scripts/export_llama.sh b/examples/mediatek/shell_scripts/export_llama.sh
new file mode 100644
index 0000000000..33f8bb00c5
--- /dev/null
+++ b/examples/mediatek/shell_scripts/export_llama.sh
@@ -0,0 +1,43 @@
+model=${1:-'llama3'}
+chunks=${2:-4}
+tok=${3:-128}
+cache=${4:-512}
+cal=${5:-None}
+pres=${6:-A16W4}
+
+if [ $model = "llama3" ]
+then
+	config_path=llama3-8B-instruct/config.json
+	pref="--preformatter aot_utils/llm_utils/preformatter_templates/llama3.json"
+elif [ $model = "llama2" ]
+then
+	config_path=llama2-7B-chat/config.json
+	pref="--preformatter aot_utils/llm_utils/preformatter_templates/llama2_short.json"
+else
+	# will remove once stable
+	config_path=llama_1b_50k/config.json
+	pref=""
+fi
+if [ $cal = "None" ]
+then
+	data=""
+else
+	data="-d aot_utils/llm_utils/prompts/${cal}"
+fi
+
+echo "Model: $model"
+echo "Config Path: $config_path"
+echo "Num Chunks: $chunks"
+echo "Num Tokens: $tok"
+echo "Cache Size: $cache"
+echo "Precision: $pres"
+echo "Calibration Dataset: $cal"
+echo "Preformatter: $pref"
+
+python3 model_export_scripts/llama.py \
+    models/llm_models/weights/${config_path} \
+    -p $pres \
+    --num_chunks $chunks \
+	${data} \
+	${pref} \
+    -shapes ${tok}t${cache}c 1t${cache}c
diff --git a/examples/mediatek/shell_scripts/export_oss.sh b/examples/mediatek/shell_scripts/export_oss.sh
new file mode 100755
index 0000000000..3da5dc41f9
--- /dev/null
+++ b/examples/mediatek/shell_scripts/export_oss.sh
@@ -0,0 +1,29 @@
+model=$1
+
+echo "Export model: $model"
+
+if [ $model = "deeplabv3" ]
+then
+	python3 model_export_scripts/deeplab_v3.py -d
+elif [ $model = "edsr" ]
+then
+	python3 model_export_scripts/edsr.py -d
+elif [ $model = "inceptionv3" ]
+then
+	python3 model_export_scripts/inception_v3.py -d PATH_TO_DATASET
+elif [ $model = "inceptionv4" ]
+then
+	python3 model_export_scripts/inception_v4.py -d PATH_TO_DATASET
+elif [ $model = "mobilenetv2" ]
+then
+	python3 model_export_scripts/mobilenet_v2.py -d PATH_TO_DATASET
+elif [ $model = "mobilenetv3" ]
+then
+	python3 model_export_scripts/mobilenet_v3.py -d PATH_TO_DATASET
+elif [ $model = "resnet18" ]
+then
+	python3 model_export_scripts/resnet18.py -d PATH_TO_DATASET
+elif [ $model = "resnet50" ]
+then
+	python3 model_export_scripts/resnet50.py -d PATH_TO_DATASET
+fi
diff --git a/examples/models/flamingo/__init__.py b/examples/models/flamingo/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/examples/models/flamingo/cross_attention/cross_attention_mask.cpp b/examples/models/flamingo/cross_attention/cross_attention_mask.cpp
new file mode 100644
index 0000000000..246c086a68
--- /dev/null
+++ b/examples/models/flamingo/cross_attention/cross_attention_mask.cpp
@@ -0,0 +1,173 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/examples/models/flamingo/cross_attention/cross_attention_mask.h>
+
+#include <algorithm>
+#include <string>
+
+namespace example {
+
+using ::executorch::aten::ScalarType;
+using ::executorch::aten::Tensor;
+using ::executorch::aten::TensorImpl;
+
+// Fowrward declaration needed for ARM compilers.
+int32_t safe_size_t_to_sizes_type(size_t value);
+std::vector<std::vector<int>> _get_image_attention_intervals(
+    const std::vector<int>& tokens,
+    int image_token_id);
+
+int32_t safe_size_t_to_sizes_type(size_t value) {
+  if (value >
+      static_cast<size_t>(std::numeric_limits<TensorImpl::SizesType>::max())) {
+    throw std::overflow_error(
+        "size_t value too large for TensorImpl::SizesType");
+  }
+  return static_cast<TensorImpl::SizesType>(value);
+}
+
+/**
+ * Returns a list of lists of the form [start, end) where start is the index
+ * of the current image token and end is the index of the next image token,
+ * exclusive.
+ *
+ * Example:
+ *     >>> text = "<img1><img2>These are two dogs. <img3>This is a cat."
+ *     >>> size_t image_token_id = 1;
+ *     >>> std::vector<int> tokens = {1, 1, 9673, 527, 1403, 12875, 13, 1, 1115,
+ * 374, 264, 8415]};
+ *     >>> transform = VisionCrossAttentionMask(tile_size=400, patch_size=40,
+ * image_token_id=1)
+ *     >>> intervals = _get_image_attention_intervals(tokens, image_token_id)
+ *     [[0, 7], [1, 7], [7, 12]]
+ *
+ * @param tokens List of token IDs in the text sequence.
+ * @param image_token_id The value of the image token.
+ *
+ * @returns Vector of vectors of the form [start, end) indicating the range of
+ * positions in the text sequence that should attend to the image.
+ */
+std::vector<std::vector<int>> _get_image_attention_intervals(
+    const std::vector<int>& tokens,
+    int image_token_id) {
+  std::vector<std::vector<int>> vision_masks;
+  int end = tokens.size();
+  std::vector<int> vision_token_locations;
+
+  // Find all vision token locations.
+  for (int i = 0; i < tokens.size(); ++i) {
+    if (tokens[i] == image_token_id) {
+      vision_token_locations.push_back(i);
+    }
+  }
+
+  // Return empty vector if there are no images.
+  if (vision_token_locations.empty()) {
+    return vision_masks;
+  }
+
+  // If there is only one image, it will attend to subsequent text until end.
+  if (vision_token_locations.size() == 1) {
+    vision_masks.push_back({vision_token_locations[0], end});
+    return vision_masks;
+  }
+
+  // Construct intervals from previous image token to next image token.
+  for (int i = 0; i < vision_token_locations.size() - 1; ++i) {
+    vision_masks.push_back(
+        {vision_token_locations[i], vision_token_locations[i + 1]});
+  }
+
+  // Last image will attend to subsequent text until end.
+  vision_masks.push_back({vision_token_locations.back(), end});
+
+  // If there are consecutive vision tokens, they should all attend to the
+  // same subsequent text.
+  int last_mask_end = vision_masks.back()[1];
+  for (auto it = vision_masks.rbegin(); it != vision_masks.rend(); ++it) {
+    if ((*it)[0] == (*it)[1] - 1) {
+      (*it)[1] = last_mask_end;
+    }
+    last_mask_end = (*it)[1];
+  }
+
+  return vision_masks;
+}
+
+std::vector<executorch::extension::TensorPtr> cross_attention_mask(
+    const std::vector<int>& tokens,
+    const std::vector<Tensor>& images,
+    size_t tile_size,
+    size_t patch_size,
+    int image_token_id,
+    std::vector<std::vector<int>>& out) {
+  size_t patch_grid_size = tile_size / patch_size;
+  size_t patches_per_tile = patch_grid_size * patch_grid_size;
+
+  std::vector<std::vector<int>> image_intervals =
+      _get_image_attention_intervals(tokens, image_token_id);
+
+  if (image_intervals.size() != images.size()) {
+    throw std::runtime_error(
+        "The number of image tokens (" +
+        std::to_string(image_intervals.size()) +
+        ") does not match the number of images (" +
+        std::to_string(images.size()) + ")");
+  }
+
+  // Create mask for each individual image based on its number of tokens,
+  // which can vary based on number of tiles since they are not yet tile padded.
+  // The masks are padded and concatenated together in the batch collator.
+  std::vector<executorch::extension::TensorPtr> cross_attention_masks;
+  size_t text_seq_len = tokens.size();
+  for (size_t image_idx = 0; image_idx < image_intervals.size(); ++image_idx) {
+    size_t n_tiles = images[image_idx].size(0);
+    size_t image_seq_len =
+        n_tiles * (patches_per_tile + 1); // +1 for the CLS token.
+
+    // Mask will be block of 1s at the corresponding interval in the text.
+    // It is not a causal block because all the image tokens correspond
+    // to a single image, so text tokens attend to all the image's tokens.
+    std::vector<TensorImpl::SizesType> sizes = {
+        safe_size_t_to_sizes_type(text_seq_len),
+        safe_size_t_to_sizes_type(image_seq_len)};
+
+    // Allocate the underlying data to be handled by the managed tensor.
+    size_t num_elements = text_seq_len * image_seq_len;
+    size_t stride = image_seq_len;
+    std::vector<int> mask_data(num_elements);
+
+    auto mask = executorch::extension::from_blob(
+        mask_data.data(), sizes, ScalarType::Int);
+    cross_attention_masks.emplace_back(std::move(mask));
+
+    // Add the allocated data to the output vector.
+    out.emplace_back(std::move(mask_data));
+
+    // All rows of tensor in the text_seq_len dimension within the interval are
+    // set to 1 (true).
+    size_t start = image_intervals[image_idx][0];
+    size_t end = image_intervals[image_idx][1]; // End is exclusive.
+    for (size_t i = start; i < end; ++i) {
+      for (size_t j = 0; j < image_seq_len; ++j) {
+        size_t unrolled_index = i * image_seq_len + j;
+        if (unrolled_index >= out[image_idx].size()) {
+          throw std::out_of_range(
+              "Index " + std::to_string(unrolled_index) +
+              " out of range of output tensor.");
+        }
+        out[image_idx][i * stride + j] = 1;
+      }
+    }
+  }
+
+  return cross_attention_masks;
+}
+
+} // namespace example
diff --git a/examples/models/flamingo/cross_attention/cross_attention_mask.h b/examples/models/flamingo/cross_attention/cross_attention_mask.h
new file mode 100644
index 0000000000..ae6df0a6be
--- /dev/null
+++ b/examples/models/flamingo/cross_attention/cross_attention_mask.h
@@ -0,0 +1,69 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <vector>
+
+#include <executorch/extension/tensor/tensor.h>
+#include <executorch/runtime/core/exec_aten/exec_aten.h>
+
+namespace example {
+
+/**
+ * Computes the cross-attention mask for text + image inputs. Text tokens that
+ * participate in cross-attention with an image token will show True in the mask
+ * and follow the interleaved structure laid out in Fig. 7 of the Flamingo paper
+ * (https://arxiv.org/pdf/2204.14198):
+ *
+ *     (1) Text tokens immediately following the image token up until the next
+ * image token (2) Consecutive image tokens attend to subsequent text tokens
+ *
+ * ::
+ *
+ *           ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐
+ *      img1 │ ■ │ │ ■ │ │ ■ │ │ ■ │ │ ■ │ │ ■ │ │   │ │   │ │   │ │   │ │   │
+ *           └───┘ └───┘ └───┘ └───┘ └───┘ └───┘ └───┘ └───┘ └───┘ └───┘ └───┘
+ *           ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐
+ *      img2 │   │ │ ■ │ │ ■ │ │ ■ │ │ ■ │ │ ■ │ │   │ │   │ │   │ │   │ │   │
+ *           └───┘ └───┘ └───┘ └───┘ └───┘ └───┘ └───┘ └───┘ └───┘ └───┘ └───┘
+ *           ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐
+ *      img3 │   │ │   │ │   │ │   │ │   │ │   │ │ ■ │ │ ■ │ │ ■ │ │ ■ │ │ ■ │
+ *           └───┘ └───┘ └───┘ └───┘ └───┘ └───┘ └───┘ └───┘ └───┘ └───┘ └───┘
+ *         <img1> <img2>These  are   two  dogs. <img3> This   is    a    cat.
+ *
+ *
+ *
+ * Resultant mask is constructed per image and is of shape (text_seq_len,
+ * image_seq_len), where True indicates that the token outputted from the image
+ * encoder attends to the token in the text sequence in cross-attention. A list
+ * of these masks are returned with length equal to number of images in the
+ * sample.
+ *
+ * @param tokens Vector of tokens participating in the cross attention.
+ * @param images Vector of images participating in the cross attention.
+ * @param tile_size The size of the image tiles from the image transform.
+ * @param patch_size The size of each patch. Used to divide the tiles into
+ * patches. E.g. for patch_size = 40, a tile of shape (400, 400) will have 10x10
+ * grid of patches with shape (40, 40) each. image_token_id (int): Token ID of
+ * the image special token.
+ * @param image_token_id The value of the image token.
+ * @param out Out vector holding the raw data wrapped by the returned cross
+ * attention masks.
+ *
+ * @returns A vector of cross attention masks, as Tensors, one for each image.
+ */
+std::vector<::executorch::extension::TensorPtr> cross_attention_mask(
+    const std::vector<int>& tokens,
+    const std::vector<::executorch::aten::Tensor>& images,
+    size_t tile_size,
+    size_t patch_size,
+    int image_token_id,
+    std::vector<std::vector<int>>& out);
+
+} // namespace example
diff --git a/examples/models/flamingo/cross_attention/cross_attention_mask_test.cpp b/examples/models/flamingo/cross_attention/cross_attention_mask_test.cpp
new file mode 100644
index 0000000000..baaa402d1f
--- /dev/null
+++ b/examples/models/flamingo/cross_attention/cross_attention_mask_test.cpp
@@ -0,0 +1,69 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/examples/models/flamingo/cross_attention/cross_attention_mask.h>
+
+#include <gtest/gtest.h>
+
+using namespace ::testing;
+using exec_aten::ScalarType;
+using exec_aten::Tensor;
+using exec_aten::TensorImpl;
+
+TEST(CrossAttentxnMaskTest, TestCrossAttentionMask) {
+  std::vector<int> tokens = {
+      1, 1, 9673, 527, 1403, 12875, 13, 1, 1115, 374, 264, 8415};
+
+  // Initialize image tensors.
+  TensorImpl::SizesType sizes[2] = {2, 2};
+  TensorImpl::DimOrderType dim_order[2] = {0, 1};
+  TensorImpl::StridesType strides[2] = {2, 1};
+
+  int32_t a_data[4] = {1, 2, 3, 4};
+  auto a_impl =
+      TensorImpl(ScalarType::Int, 2, sizes, a_data, dim_order, strides);
+  Tensor a(&a_impl);
+
+  int32_t b_data[4] = {5, 6, 7, 8};
+  auto b_impl =
+      TensorImpl(ScalarType::Int, 2, sizes, b_data, dim_order, strides);
+  Tensor b(&b_impl);
+
+  int32_t c_data[4] = {9, 10, 11, 12};
+  auto c_impl =
+      TensorImpl(ScalarType::Int, 2, sizes, c_data, dim_order, strides);
+  Tensor c(&c_impl);
+
+  std::vector<Tensor> images = {a, b, c};
+  std::vector<std::vector<int>> mask_data;
+  auto output_masks = example::cross_attention_mask(
+      tokens,
+      images,
+      /*tile_size=*/1,
+      /*patch_size=*/1,
+      /*image_token_id=*/1,
+      /*out=*/mask_data);
+
+  // Check contents of the mask.
+  std::vector<std::vector<size_t>> expected_intervals = {
+      {0, 7}, {1, 7}, {7, 12}};
+  for (size_t mask_idx = 0; mask_idx < output_masks.size(); ++mask_idx) {
+    auto& output_tensor = output_masks[mask_idx];
+    for (size_t i = 0; i < output_tensor->size(0); ++i) {
+      for (size_t j = 0; j < output_tensor->strides()[0]; ++j) {
+        size_t unrolled_index = i * output_tensor->strides()[0] + j;
+        if (i >= expected_intervals[mask_idx][0] &&
+            i < expected_intervals[mask_idx][1]) {
+          EXPECT_EQ(output_tensor->const_data_ptr<int>()[unrolled_index], 1);
+        } else {
+          EXPECT_EQ(output_tensor->const_data_ptr<int>()[unrolled_index], 0);
+        }
+      }
+    }
+  }
+}
diff --git a/examples/models/flamingo/cross_attention/targets.bzl b/examples/models/flamingo/cross_attention/targets.bzl
new file mode 100644
index 0000000000..c3d9da0156
--- /dev/null
+++ b/examples/models/flamingo/cross_attention/targets.bzl
@@ -0,0 +1,25 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+
+    runtime.cxx_library(
+        name = "cross_attention_mask",
+        srcs = ["cross_attention_mask.cpp"],
+        exported_headers = ["cross_attention_mask.h"],
+        exported_deps = [
+            "//executorch/extension/tensor:tensor",
+            "//executorch/runtime/core/exec_aten:lib",
+            "//executorch/runtime/core/exec_aten/util:tensor_util",
+        ],
+    )
+
+    runtime.cxx_test(
+        name = "cross_attention_mask_test",
+        srcs = ["cross_attention_mask_test.cpp"],
+        deps = [":cross_attention_mask"],
+    )
diff --git a/examples/models/flamingo/install_requirements.sh b/examples/models/flamingo/install_requirements.sh
new file mode 100644
index 0000000000..8e1ebbd457
--- /dev/null
+++ b/examples/models/flamingo/install_requirements.sh
@@ -0,0 +1,13 @@
+#!/bin/bash
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# Install torchtune nightly for model definitions.
+pip install --pre torchtune --extra-index-url https://download.pytorch.org/whl/nightly/cpu --no-cache-dir
+
+# Install torchao.
+TORCHAO_VERSION=$(cat "$(dirname "$0")"/../../../.ci/docker/ci_commit_pins/torchao.txt)
+pip install --no-use-pep517 --user "git+https://github.com/pytorch/ao.git@${TORCHAO_VERSION}"
diff --git a/examples/models/flamingo/preprocess/__init__.py b/examples/models/flamingo/preprocess/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/examples/models/flamingo/preprocess/export_preprocess.py b/examples/models/flamingo/preprocess/export_preprocess.py
new file mode 100644
index 0000000000..7450a243a8
--- /dev/null
+++ b/examples/models/flamingo/preprocess/export_preprocess.py
@@ -0,0 +1,33 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import torch
+from executorch.examples.models.flamingo.preprocess.export_preprocess_lib import (
+    export_preprocess,
+    get_example_inputs,
+    lower_to_executorch_preprocess,
+)
+
+
+def main():
+    # Export
+    ep = export_preprocess()
+
+    # ExecuTorch
+    et = lower_to_executorch_preprocess(ep)
+    with open("preprocess_et.pte", "wb") as file:
+        et.write_to_file(file)
+
+    # AOTInductor
+    torch._inductor.aot_compile(
+        ep.module(),
+        get_example_inputs(),
+        options={"aot_inductor.output_path": "preprocess_aoti.so"},
+    )
+
+
+if __name__ == "__main__":
+    main()
diff --git a/examples/models/flamingo/preprocess/export_preprocess_lib.py b/examples/models/flamingo/preprocess/export_preprocess_lib.py
new file mode 100644
index 0000000000..53bb2e400d
--- /dev/null
+++ b/examples/models/flamingo/preprocess/export_preprocess_lib.py
@@ -0,0 +1,87 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+from typing import Dict, List, Optional, Tuple
+
+import torch
+from executorch.exir import EdgeCompileConfig, ExecutorchBackendConfig, to_edge
+from executorch.exir.passes.sym_shape_eval_pass import ConstraintBasedSymShapeEvalPass
+from executorch.exir.program._program import ExecutorchProgramManager
+
+from executorch.extension.llm.custom_ops import op_tile_crop_aot  # noqa
+
+from torch.export import Dim, ExportedProgram
+from torchtune.models.clip.inference._transform import _CLIPImageTransform
+
+
+def get_example_inputs() -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]:
+    image = torch.ones(3, 800, 600)
+    target_size = torch.tensor([448, 336])
+    canvas_size = torch.tensor([448, 448])
+    return (image, target_size, canvas_size)
+
+
+def get_dynamic_shapes() -> Dict[str, Dict[int, Dim]]:
+    img_h = Dim("img_h", min=1, max=4000)
+    img_w = Dim("img_w", min=1, max=4000)
+
+    dynamic_shapes = {
+        "image": {1: img_h, 2: img_w},
+        "target_size": None,
+        "canvas_size": None,
+    }
+    return dynamic_shapes
+
+
+def export_preprocess(
+    resample: str = "bilinear",
+    image_mean: Optional[List[float]] = None,
+    image_std: Optional[List[float]] = None,
+    max_num_tiles: int = 4,
+    tile_size: int = 224,
+    antialias: bool = False,
+    pad_max_tiles: bool = True,
+) -> ExportedProgram:
+
+    # Instantiate eager model.
+    image_transform_model = _CLIPImageTransform(
+        resample=resample,
+        image_mean=image_mean,
+        image_std=image_std,
+        max_num_tiles=max_num_tiles,
+        tile_size=tile_size,
+        antialias=antialias,
+        pad_max_tiles=pad_max_tiles,
+    )
+
+    # Replace non-exportable ops with custom ops.
+    image_transform_model.tile_crop = torch.ops.preprocess.tile_crop.default
+
+    # Export.
+    example_inputs = get_example_inputs()
+    dynamic_shapes = get_dynamic_shapes()
+    ep = torch.export.export(
+        image_transform_model,
+        example_inputs,
+        dynamic_shapes=dynamic_shapes,
+        strict=False,
+    )
+    return ep
+
+
+def lower_to_executorch_preprocess(
+    exported_program: ExportedProgram,
+) -> ExecutorchProgramManager:
+    edge_program = to_edge(
+        exported_program, compile_config=EdgeCompileConfig(_check_ir_validity=False)
+    )
+
+    et_program = edge_program.to_executorch(
+        ExecutorchBackendConfig(
+            sym_shape_eval_pass=ConstraintBasedSymShapeEvalPass(),
+        )
+    )
+    return et_program
diff --git a/examples/models/flamingo/preprocess/preprocess.cpp b/examples/models/flamingo/preprocess/preprocess.cpp
new file mode 100644
index 0000000000..ff46070f66
--- /dev/null
+++ b/examples/models/flamingo/preprocess/preprocess.cpp
@@ -0,0 +1,118 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include "executorch/examples/models/flamingo/preprocess/preprocess.h"
+
+#include <algorithm>
+#include <cassert>
+
+std::vector<int> _get_factors(int n) {
+  std::vector<int> factors;
+  for (int i = 1; i <= n; i++) {
+    if (n % i == 0) {
+      factors.push_back(i);
+    }
+  }
+  return factors;
+}
+
+std::vector<std::vector<int>> find_supported_resolutions(
+    int max_num_tiles,
+    int tile_size) {
+  std::vector<std::vector<int>> supported_resolutions;
+  for (int _tile_size = max_num_tiles; _tile_size > 0; _tile_size--) {
+    auto factors = _get_factors(_tile_size);
+    for (int i = 0; i < factors.size(); i++) {
+      int height = factors[i];
+      int width = _tile_size / factors[i];
+      supported_resolutions.push_back({height * tile_size, width * tile_size});
+    }
+  }
+  return supported_resolutions;
+}
+
+std::vector<int> get_canvas_best_fit(
+    std::vector<int> image_size,
+    std::vector<std::vector<int>> possible_resolutions,
+    bool resize_to_max_canvas) {
+  assert(image_size.size() == 2);
+  int image_h = image_size[0];
+  int image_w = image_size[1];
+
+  float best_scale = -0.1;
+  std::vector<int> best_resolution;
+  int best_area = 0;
+
+  for (int i = 0; i < possible_resolutions.size(); i++) {
+    assert(possible_resolutions[i].size() == 2);
+    float scale_h = possible_resolutions[i][0] / (float)image_h;
+    float scale_w = possible_resolutions[i][1] / (float)image_w;
+
+    // Get limiting side scaling -> no distortion
+    float scale = scale_h < scale_w ? scale_h : scale_w;
+
+    bool is_candidate = false;
+
+    if (scale >= 1.0) {
+      // Upscaling options.
+      if (resize_to_max_canvas) {
+        is_candidate = scale >= best_scale;
+      } else {
+        is_candidate = ((scale <= best_scale) || (best_resolution.size() == 0));
+      }
+    } else {
+      // If no upscaling options, find the minimum downscaling (max scale for
+      // scales < 1)
+      is_candidate = ((scale >= best_scale) || (best_resolution.size() == 0));
+    }
+
+    // Select the best resolution.
+    if (is_candidate) {
+      // @lint-ignore CLANGTIDY facebook-hte-ParameterUncheckedArrayBounds
+      int area = possible_resolutions[i][0] * possible_resolutions[i][1];
+      if (scale == best_scale) {
+        // If there are multiple resolutions, get the one with minimum area to
+        // reduce padding.
+        if (scale >= 1.0 && area < best_area) {
+          best_resolution = possible_resolutions[i];
+          best_area = area;
+        }
+      } else {
+        best_resolution = possible_resolutions[i];
+        best_scale = scale;
+        best_area = area;
+      }
+    }
+  }
+  return best_resolution;
+}
+
+std::vector<int> get_inscribed_size(
+    std::vector<int> image_size,
+    std::vector<int> target_size,
+    int max_size) {
+  assert(image_size.size() == 2);
+  assert(target_size.size() == 2);
+
+  int target_height = target_size[0];
+  int target_width = target_size[1];
+
+  if (max_size > 0) {
+    target_height = std::min(std::max(image_size[0], max_size), target_size[0]);
+    target_width = std::min(std::max(image_size[1], max_size), target_size[1]);
+  }
+
+  int resize_height = std::min(
+      (int)(image_size[0] * (target_width / (float)image_size[1])),
+      target_height);
+  int resize_width = std::min(
+      (int)(image_size[1] * (target_height / (float)image_size[0])),
+      target_width);
+
+  return {resize_height, resize_width};
+}
diff --git a/examples/models/flamingo/preprocess/preprocess.h b/examples/models/flamingo/preprocess/preprocess.h
new file mode 100644
index 0000000000..f6c7b813e9
--- /dev/null
+++ b/examples/models/flamingo/preprocess/preprocess.h
@@ -0,0 +1,41 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <vector>
+
+// C++ implementation of the python functions in torchtune:
+// https://github.com/pytorch/torchtune/tree/main/torchtune/modules/transforms/vision_utils
+
+// Calculate all factors of a given number.
+std::vector<int> _get_factors(int n);
+
+// Computes all combinations of resolutions, multiple of tile_size,
+// that contain up to max_num_tiles. Useful for when dividing an image into
+// tiles. For example, if we want at most 2 tiles per image, then we can support
+// the following resolutions: (1x1, 1x2, 2x1) * tile_size Returns a vector of
+// tuples of (height, width).
+std::vector<std::vector<int>> find_supported_resolutions(
+    int max_num_tiles,
+    int tile_size);
+
+// Determines the best canvas possible from a list of possible resolutions to
+// resize an image to, without distortion.
+std::vector<int> get_canvas_best_fit(
+    std::vector<int> image_size,
+    std::vector<std::vector<int>> possible_resolutions,
+    bool resize_to_max_canvas);
+
+// Calculates the size of an image, if it was resized to be inscribed within the
+// target_size. It is upscaled or downscaled such that one size is equal to the
+// target_size, and the second size is less than or equal to the target_size.
+std::vector<int> get_inscribed_size(
+    std::vector<int> image_size,
+    std::vector<int> canvas_size,
+    int max_size);
diff --git a/examples/models/flamingo/preprocess/preprocess_test.cpp b/examples/models/flamingo/preprocess/preprocess_test.cpp
new file mode 100644
index 0000000000..deede87722
--- /dev/null
+++ b/examples/models/flamingo/preprocess/preprocess_test.cpp
@@ -0,0 +1,113 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/examples/models/flamingo/preprocess/preprocess.h>
+#include <gtest/gtest.h>
+
+using namespace ::testing;
+
+// Mirror the torchtune python testing:
+// https://github.com/pytorch/torchtune/tree/main/tests/torchtune/modules/transforms
+
+void test_find_supported_resolutions(
+    int max_num_tiles,
+    int tile_size,
+    std::vector<std::vector<int>> expected_resolutions) {
+  std::vector<std::vector<int>> resolutions =
+      find_supported_resolutions(max_num_tiles, tile_size);
+
+  EXPECT_EQ(resolutions.size(), expected_resolutions.size());
+
+  for (int i = 0; i < resolutions.size(); i++) {
+    EXPECT_EQ(resolutions[i].size(), expected_resolutions[i].size());
+    EXPECT_EQ(resolutions[i][0], expected_resolutions[i][0]); // height
+    EXPECT_EQ(resolutions[i][1], expected_resolutions[i][1]); // width
+  }
+}
+
+TEST(PreprocessTest, TestFindSupportedResolution) {
+  test_find_supported_resolutions(1, 224, {{224, 224}});
+  test_find_supported_resolutions(2, 100, {{100, 200}, {200, 100}, {100, 100}});
+  test_find_supported_resolutions(
+      3, 50, {{50, 150}, {150, 50}, {50, 100}, {100, 50}, {50, 50}});
+  test_find_supported_resolutions(
+      4,
+      300,
+      {
+          {300, 1200},
+          {600, 600},
+          {1200, 300},
+          {300, 900},
+          {900, 300},
+          {300, 600},
+          {600, 300},
+          {300, 300},
+      });
+}
+
+void test_get_canvas_best_fit(
+    std::vector<int> image_size,
+    std::vector<std::vector<int>> possible_resolutions,
+    bool resize_to_max_canvas,
+    std::vector<int> expected_best_resolution) {
+  std::vector<int> best_resolution = get_canvas_best_fit(
+      image_size, possible_resolutions, resize_to_max_canvas);
+  EXPECT_EQ(best_resolution[0], expected_best_resolution[0]); // height
+  EXPECT_EQ(best_resolution[1], expected_best_resolution[1]); // width
+}
+
+TEST(PreprocessTest, TestGetCanvasBestFit_200x300_F) {
+  std::vector<std::vector<int>> possible_resolutions = {
+      {224, 896},
+      {448, 448},
+      {224, 224},
+      {896, 224},
+      {224, 672},
+      {672, 224},
+      {224, 448},
+      {448, 224},
+  };
+  test_get_canvas_best_fit(
+      {200, 300},
+      possible_resolutions,
+      false, // resize_to_max_canvas
+      {224, 448});
+
+  test_get_canvas_best_fit(
+      {200, 500},
+      possible_resolutions,
+      true, // resize_to_max_canvas
+      {224, 672});
+  test_get_canvas_best_fit(
+      {200, 200},
+      possible_resolutions,
+      false, // resize_to_max_canvas
+      {224, 224});
+  test_get_canvas_best_fit(
+      {200, 100},
+      possible_resolutions,
+      true, // resize_to_max_canvas
+      {448, 224});
+}
+
+void test_get_inscribed_size(
+    std::vector<int> image_size,
+    std::vector<int> target_size,
+    int max_size,
+    std::vector<int> expected_target_size) {
+  std::vector<int> result =
+      get_inscribed_size(image_size, target_size, max_size);
+  EXPECT_EQ(result[0], expected_target_size[0]); // height
+  EXPECT_EQ(result[1], expected_target_size[1]); // width
+}
+TEST(PreprocessTest, GetInscribedSize) {
+  test_get_inscribed_size({200, 100}, {1000, 1200}, 600, {600, 300});
+  test_get_inscribed_size({2000, 200}, {1000, 1200}, 2000, {1000, 100});
+  test_get_inscribed_size({400, 200}, {1000, 1200}, -1, {1000, 500});
+  test_get_inscribed_size({1000, 500}, {400, 300}, -1, {400, 200});
+}
diff --git a/examples/models/flamingo/preprocess/targets.bzl b/examples/models/flamingo/preprocess/targets.bzl
new file mode 100644
index 0000000000..fd60d94a90
--- /dev/null
+++ b/examples/models/flamingo/preprocess/targets.bzl
@@ -0,0 +1,20 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+
+    runtime.cxx_library(
+        name = "preprocess",
+        srcs = ["preprocess.cpp"],
+        exported_headers = ["preprocess.h"],
+    )
+
+    runtime.cxx_test(
+        name = "preprocess_test",
+        srcs = ["preprocess_test.cpp"],
+        deps = [":preprocess"],
+    )
diff --git a/examples/models/flamingo/preprocess/test_preprocess.py b/examples/models/flamingo/preprocess/test_preprocess.py
new file mode 100644
index 0000000000..313097020a
--- /dev/null
+++ b/examples/models/flamingo/preprocess/test_preprocess.py
@@ -0,0 +1,317 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import unittest
+
+from dataclasses import dataclass
+from typing import List, Optional, Tuple
+
+import numpy as np
+import PIL
+import torch
+
+from executorch.extension.pybindings import portable_lib  # noqa # usort: skip
+from executorch.extension.llm.custom_ops import sdpa_with_kv_cache  # noqa # usort: skip
+from executorch.extension.pybindings.portable_lib import (
+    _load_for_executorch_from_buffer,
+)
+
+from parameterized import parameterized
+from PIL import Image
+
+from torchtune.models.clip.inference._transform import (
+    _CLIPImageTransform,
+    CLIPImageTransform,
+)
+
+from torchtune.modules.transforms.vision_utils.get_canvas_best_fit import (
+    find_supported_resolutions,
+    get_canvas_best_fit,
+)
+
+from torchtune.modules.transforms.vision_utils.get_inscribed_size import (
+    get_inscribed_size,
+)
+from torchvision.transforms.v2 import functional as F
+
+from .export_preprocess_lib import (
+    export_preprocess,
+    get_example_inputs,
+    lower_to_executorch_preprocess,
+)
+
+
+@dataclass
+class PreprocessConfig:
+    image_mean: Optional[List[float]] = None
+    image_std: Optional[List[float]] = None
+    resize_to_max_canvas: bool = True
+    resample: str = "bilinear"
+    antialias: bool = False
+    tile_size: int = 224
+    max_num_tiles: int = 4
+    possible_resolutions = None
+    pad_max_tiles: bool = True
+
+
+class TestImageTransform(unittest.TestCase):
+    """
+    This unittest checks that the exported image transform model produces the
+    same output as the reference model.
+
+    Reference model: CLIPImageTransform
+        https://github.com/pytorch/torchtune/blob/main/torchtune/models/clip/inference/_transforms.py#L115
+    Eager and exported models: _CLIPImageTransform
+        https://github.com/pytorch/torchtune/blob/main/torchtune/models/clip/inference/_transforms.py#L26
+    """
+
+    def setUp(self):
+        np.random.seed(0)
+
+    def prepare_inputs(
+        self, image: Image.Image, config: PreprocessConfig
+    ) -> Tuple[torch.Tensor]:
+        """
+        Prepare inputs for eager and exported models:
+        - Convert PIL image to tensor.
+        - Calculate the best resolution; a canvas with height and width divisible by tile_size.
+        - Calculate the inscribed size; the size of the image inscribed within best_resolution,
+            without distortion.
+
+        These calculations are done by the reference model inside __init__ and __call__
+        https://github.com/pytorch/torchtune/blob/main/torchtune/models/clip/inference/_transforms.py#L115
+        """
+        image_tensor = F.to_dtype(
+            F.grayscale_to_rgb_image(F.to_image(image)), scale=True
+        )
+
+        # The above converts the PIL image into a torchvision tv_tensor.
+        # Convert the tv_tensor into a torch.Tensor.
+        image_tensor = image_tensor + 0
+
+        # Ensure tensor is contiguous for executorch.
+        image_tensor = image_tensor.contiguous()
+
+        # Calculate possible resolutions.
+        possible_resolutions = config.possible_resolutions
+        if possible_resolutions is None:
+            possible_resolutions = find_supported_resolutions(
+                max_num_tiles=config.max_num_tiles, tile_size=config.tile_size
+            )
+        possible_resolutions = torch.tensor(possible_resolutions).reshape(-1, 2)
+
+        # Limit resizing.
+        max_size = None if config.resize_to_max_canvas else config.tile_size
+
+        # Find the best canvas to fit the image without distortion.
+        best_resolution = get_canvas_best_fit(
+            image=image_tensor,
+            possible_resolutions=possible_resolutions,
+            resize_to_max_canvas=config.resize_to_max_canvas,
+        )
+        best_resolution = torch.tensor(best_resolution)
+
+        # Find the dimensions of the image, such that it is inscribed within best_resolution
+        # without distortion.
+        inscribed_size = get_inscribed_size(
+            image_tensor.shape[-2:], best_resolution, max_size
+        )
+        inscribed_size = torch.tensor(inscribed_size)
+
+        return image_tensor, inscribed_size, best_resolution
+
+    # This test setup mirrors the one in torchtune:
+    # https://github.com/pytorch/torchtune/blob/main/tests/torchtune/models/clip/test_clip_image_transform.py
+    # The values are slightly different, as torchtune uses antialias=True,
+    # and this test uses antialias=False, which is exportable (has a portable kernel).
+    @parameterized.expand(
+        [
+            (
+                (100, 400, 3),  # image_size
+                torch.Size([2, 3, 224, 224]),  # expected shape
+                False,  # resize_to_max_canvas
+                [0.2230, 0.1763],  # expected_tile_means
+                [1.0, 1.0],  # expected_tile_max
+                [0.0, 0.0],  # expected_tile_min
+                [1, 2],  # expected_aspect_ratio
+                False,  # pad_max_tiles
+            ),
+            (
+                (100, 400, 3),  # image_size
+                torch.Size([4, 3, 224, 224]),  # expected shape
+                False,  # resize_to_max_canvas
+                [0.2230, 0.1763, 0.0, 0.0],  # expected_tile_means
+                [1.0, 1.0, 0.0, 0.0],  # expected_tile_max
+                [0.0, 0.0, 0.0, 0.0],  # expected_tile_min
+                [1, 2],  # expected_aspect_ratio
+                True,  # pad_max_tiles
+            ),
+            (
+                (1000, 300, 3),  # image_size
+                torch.Size([4, 3, 224, 224]),  # expected shape
+                True,  # resize_to_max_canvas
+                [0.5005, 0.4992, 0.5004, 0.1651],  # expected_tile_means
+                [0.9976, 0.9940, 0.9936, 0.9906],  # expected_tile_max
+                [0.0037, 0.0047, 0.0039, 0.0],  # expected_tile_min
+                [4, 1],  # expected_aspect_ratio
+                False,  # pad_max_tiles
+            ),
+            (
+                (200, 200, 3),  # image_size
+                torch.Size([4, 3, 224, 224]),  # expected shape
+                True,  # resize_to_max_canvas
+                [0.5012, 0.5020, 0.5010, 0.4991],  # expected_tile_means
+                [0.9921, 0.9925, 0.9969, 0.9908],  # expected_tile_max
+                [0.0056, 0.0069, 0.0059, 0.0032],  # expected_tile_min
+                [2, 2],  # expected_aspect_ratio
+                False,  # pad_max_tiles
+            ),
+            (
+                (600, 200, 3),  # image_size
+                torch.Size([3, 3, 224, 224]),  # expected shape
+                False,  # resize_to_max_canvas
+                [0.4472, 0.4468, 0.3031],  # expected_tile_means
+                [1.0, 1.0, 1.0],  # expected_tile_max
+                [0.0, 0.0, 0.0],  # expected_tile_min
+                [3, 1],  # expected_aspect_ratio
+                False,  # pad_max_tiles
+            ),
+            (
+                (600, 200, 3),  # image_size
+                torch.Size([4, 3, 224, 224]),  # expected shape
+                False,  # resize_to_max_canvas
+                [0.4472, 0.4468, 0.3031, 0.0],  # expected_tile_means
+                [1.0, 1.0, 1.0, 0.0],  # expected_tile_max
+                [0.0, 0.0, 0.0, 0.0],  # expected_tile_min
+                [3, 1],  # expected_aspect_ratio
+                True,  # pad_max_tiles
+            ),
+        ]
+    )
+    def test_preprocess(
+        self,
+        image_size: Tuple[int],
+        expected_shape: torch.Size,
+        resize_to_max_canvas: bool,
+        expected_tile_means: List[float],
+        expected_tile_max: List[float],
+        expected_tile_min: List[float],
+        expected_ar: List[int],
+        pad_max_tiles: bool,
+    ) -> None:
+        config = PreprocessConfig(
+            resize_to_max_canvas=resize_to_max_canvas, pad_max_tiles=pad_max_tiles
+        )
+
+        reference_model = CLIPImageTransform(
+            image_mean=config.image_mean,
+            image_std=config.image_std,
+            resize_to_max_canvas=config.resize_to_max_canvas,
+            resample=config.resample,
+            antialias=config.antialias,
+            tile_size=config.tile_size,
+            max_num_tiles=config.max_num_tiles,
+            possible_resolutions=None,
+            pad_max_tiles=config.pad_max_tiles,
+        )
+
+        eager_model = _CLIPImageTransform(
+            image_mean=config.image_mean,
+            image_std=config.image_std,
+            resample=config.resample,
+            antialias=config.antialias,
+            tile_size=config.tile_size,
+            max_num_tiles=config.max_num_tiles,
+            pad_max_tiles=config.pad_max_tiles,
+        )
+
+        exported_model = export_preprocess(
+            image_mean=config.image_mean,
+            image_std=config.image_std,
+            resample=config.resample,
+            antialias=config.antialias,
+            tile_size=config.tile_size,
+            max_num_tiles=config.max_num_tiles,
+            pad_max_tiles=config.pad_max_tiles,
+        )
+
+        executorch_model = lower_to_executorch_preprocess(exported_model)
+        executorch_module = _load_for_executorch_from_buffer(executorch_model.buffer)
+
+        aoti_path = torch._inductor.aot_compile(
+            exported_model.module(),
+            get_example_inputs(),
+        )
+
+        # Prepare image input.
+        image = (
+            np.random.randint(0, 256, np.prod(image_size))
+            .reshape(image_size)
+            .astype(np.uint8)
+        )
+        image = PIL.Image.fromarray(image)
+
+        # Run reference model.
+        reference_output = reference_model(image=image)
+        reference_image = reference_output["image"]
+        reference_ar = reference_output["aspect_ratio"].tolist()
+
+        # Check output shape and aspect ratio matches expected values.
+        self.assertEqual(reference_image.shape, expected_shape)
+        self.assertEqual(reference_ar, expected_ar)
+
+        # Check pixel values within expected range [0, 1]
+        self.assertTrue(0 <= reference_image.min() <= reference_image.max() <= 1)
+
+        # Check mean, max, and min values of the tiles match expected values.
+        for i, tile in enumerate(reference_image):
+            self.assertAlmostEqual(
+                tile.mean().item(), expected_tile_means[i], delta=1e-4
+            )
+            self.assertAlmostEqual(tile.max().item(), expected_tile_max[i], delta=1e-4)
+            self.assertAlmostEqual(tile.min().item(), expected_tile_min[i], delta=1e-4)
+
+        # Check num tiles matches the product of the aspect ratio.
+        if pad_max_tiles:
+            self.assertEqual(config.max_num_tiles, reference_image.shape[0])
+        else:
+            expected_num_tiles = reference_ar[0] * reference_ar[1]
+            self.assertEqual(expected_num_tiles, reference_image.shape[0])
+
+        # Pre-work for eager and exported models. The reference model performs these
+        # calculations and passes the result to _CLIPImageTransform, the exportable model.
+        image_tensor, inscribed_size, best_resolution = self.prepare_inputs(
+            image=image, config=config
+        )
+
+        # Run eager model and check it matches reference model.
+        eager_image, eager_ar = eager_model(
+            image_tensor, inscribed_size, best_resolution
+        )
+        eager_ar = eager_ar.tolist()
+        self.assertTrue(torch.allclose(reference_image, eager_image))
+        self.assertEqual(reference_ar, eager_ar)
+
+        # Run exported model and check it matches reference model.
+        exported_image, exported_ar = exported_model.module()(
+            image_tensor, inscribed_size, best_resolution
+        )
+        exported_ar = exported_ar.tolist()
+        self.assertTrue(torch.allclose(reference_image, exported_image))
+        self.assertEqual(reference_ar, exported_ar)
+
+        # Run executorch model and check it matches reference model.
+        et_image, et_ar = executorch_module.forward(
+            (image_tensor, inscribed_size, best_resolution)
+        )
+        self.assertTrue(torch.allclose(reference_image, et_image))
+        self.assertEqual(reference_ar, et_ar.tolist())
+
+        # Run aoti model and check it matches reference model.
+        aoti_model = torch._export.aot_load(aoti_path, "cpu")
+        aoti_image, aoti_ar = aoti_model(image_tensor, inscribed_size, best_resolution)
+        self.assertTrue(torch.allclose(reference_image, aoti_image))
+        self.assertEqual(reference_ar, aoti_ar.tolist())
diff --git a/examples/models/llama2/CMakeLists.txt b/examples/models/llama2/CMakeLists.txt
index 7a45026139..7a9b69d65b 100644
--- a/examples/models/llama2/CMakeLists.txt
+++ b/examples/models/llama2/CMakeLists.txt
@@ -21,8 +21,6 @@ project(llama_runner)
 # Duplicating options as root CMakeLists.txt
 option(EXECUTORCH_BUILD_KERNELS_OPTIMIZED "Build the optimized kernels" OFF)
 
-option(EXECUTORCH_USE_TIKTOKEN "Use Tiktoken as a tokenizer" OFF)
-
 include(CMakeDependentOption)
 #
 # pthreadpool: build pthreadpool library. Disable on unsupported platforms
@@ -86,28 +84,14 @@ endif()
 
 # custom ops library
 if(EXECUTORCH_BUILD_KERNELS_CUSTOM)
-  add_subdirectory(custom_ops)
+  add_subdirectory(
+    ${CMAKE_CURRENT_SOURCE_DIR}/../../../extension/llm/custom_ops
+    ${CMAKE_CURRENT_BINARY_DIR}/../../../extension/llm/custom_ops
+  )
 endif()
 
 # llama_runner library
 add_subdirectory(runner)
-if(EXECUTORCH_USE_TIKTOKEN)
-  # find RE2 for tokenizer
-  set(ABSL_ENABLE_INSTALL ON)
-  set(ABSL_PROPAGATE_CXX_STD ON)
-  set(_pic_flag ${CMAKE_POSITION_INDEPENDENT_CODE})
-  set(CMAKE_POSITION_INDEPENDENT_CODE ON)
-  add_subdirectory(
-    ${CMAKE_CURRENT_SOURCE_DIR}/../../../extension/llm/third-party/abseil-cpp
-    ${CMAKE_CURRENT_BINARY_DIR}/abseil-cpp
-  )
-  add_subdirectory(
-    ${CMAKE_CURRENT_SOURCE_DIR}/../../../extension/llm/third-party/re2
-    ${CMAKE_CURRENT_BINARY_DIR}/re2
-  )
-  set(CMAKE_POSITION_INDEPENDENT_CODE ${_pic_flag})
-  target_link_libraries(llama_runner PUBLIC re2::re2)
-endif()
 
 set(link_libraries gflags)
 set(_srcs main.cpp)
@@ -141,13 +125,7 @@ set(XNNPACK_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../../../backends/xnnpack)
 # Extra compile option and include dir for pthreadpool
 if(EXECUTORCH_BUILD_PTHREADPOOL)
   list(APPEND _common_compile_options -DET_USE_THREADPOOL)
-  list(APPEND link_libraries pthreadpool)
-  # These 2 source files are included in xnnpack_backend
-  if(NOT TARGET xnnpack_backend)
-    list(APPEND _srcs ${XNNPACK_ROOT}/threadpool/threadpool.cpp
-         ${XNNPACK_ROOT}/threadpool/threadpool_guard.cpp
-    )
-  endif()
+  list(APPEND link_libraries extension_threadpool pthreadpool)
   list(APPEND _common_include_directories
        ${XNNPACK_ROOT}/third-party/pthreadpool/include
   )
@@ -155,8 +133,7 @@ endif()
 
 # Extra sources for cpuinfo
 if(EXECUTORCH_BUILD_CPUINFO)
-  list(APPEND link_libraries cpuinfo)
-  list(APPEND _srcs ${XNNPACK_ROOT}/threadpool/cpuinfo_utils.cpp)
+  list(APPEND link_libraries extension_threadpool cpuinfo)
   list(APPEND _common_include_directories
        ${XNNPACK_ROOT}/third-party/cpuinfo/include
   )
@@ -216,7 +193,11 @@ endif()
 
 add_executable(llama_main ${_srcs})
 if(CMAKE_BUILD_TYPE STREQUAL "Release")
-  target_link_options(llama_main PRIVATE "LINKER:--gc-sections,-s")
+  if(APPLE)
+    target_link_options(llama_main PRIVATE "LINKER:-dead_strip")
+  else()
+    target_link_options(llama_main PRIVATE "LINKER:--gc-sections,-s")
+  endif()
 endif()
 
 target_include_directories(llama_main PUBLIC ${_common_include_directories})
diff --git a/examples/models/llama2/README.md b/examples/models/llama2/README.md
index 0ab35b2c50..f09b6893b0 100644
--- a/examples/models/llama2/README.md
+++ b/examples/models/llama2/README.md
@@ -19,6 +19,14 @@ Please note that the models are subject to the [Llama 2 Acceptable Use Policy](h
 
 Since Llama 2 7B or Llama 3 8B model needs at least 4-bit quantization to fit even within some of the highend phones, results presented here correspond to 4-bit groupwise post-training quantized model.
 
+<p align="center">
+      <img src="./llama_via_xnnpack.gif" width=300>
+      <br>
+      <em>
+      Running Llama3.1 8B on Android phone
+      </em>
+</p>
+
 ## Quantization:
 We employed 4-bit groupwise per token dynamic quantization of all the linear layers of the model. Dynamic quantization refers to quantizating activations dynamically, such that quantization parameters for activations are calculated, from min/max range, at runtime. Here we quantized activations with 8bits (signed integer). Furthermore, weights are statically quantized. In our case weights were per-channel groupwise quantized with 4bit signed integer. For more information refer to this [page](https://github.com/pytorch/ao).
 
@@ -31,6 +39,12 @@ We evaluated WikiText perplexity using [LM Eval](https://github.com/EleutherAI/l
 
 Note that groupsize less than 128 was not enabled, since such models were still too large. This is because our current efforts have focused on enabling FP32 and support for FP16 is under way. What this implies for model size is that 1) embedding table is in FP32 and 2) quantized weights scales are FP32.
 
+### SpinQuant (Optional)
+
+To improve accuracy, we can use [SpinQuant](https://github.com/facebookresearch/SpinQuant/tree/main), a post-training quantization (PTQ) technique that generates new quantized weights. In the standard PTQ process, quantization may lead to a decrease in accuracy when there are outliers. The SpinQuant method takes the original weights and produces optimized quantized weights with minimal outliers, resulting in higher accuracy. This can be achieved without any finetuning of the weights and only requires 100 iterations on a single A100 node.
+
+SpinQuant can generate quantized weights that are [compatible with ExecuTorch](https://github.com/facebookresearch/SpinQuant/tree/main?tab=readme-ov-file#3-export-to-executorch), specifically, it can be integrated with the existing optimized XNNPACK kernels (aka group-wise 4bit weight and 8bit dynamic activation). This allows developers to benefit from the higher accuracy of SpinQuant while also taking advantage of the strong performance of ExecuTorch acceleration. We are currently working on enabling SpinQuant for the Llama3.1 8B model on ExecuTorch.
+
 ## Enablement
 
 We have verified running Llama 2 7B [mobile applications](#step-6-build-mobile-apps) efficiently on select devices including the iPhone 15 Pro, iPhone 15 Pro Max, Samsung Galaxy S22 and S24, and OnePlus 12.
@@ -60,7 +74,7 @@ Note that since Llama3's vocabulary size is 4x that of Llama2, we had to quantiz
 |OnePlus 12 | 10.85 tokens/second | 11.02 tokens/second |
 
 ### Llama3.1
-> :warning: **use the main branch**: Llama3.1 is supported on the ExecuTorch main branch (not release 0.3).
+Llama3.1 is supported on the ExecuTorch main branch and release/0.4
 
 # Instructions
 
@@ -111,7 +125,7 @@ If you want to deploy and run a smaller model for educational purposes. From `ex
     ```
 3. Export model and generate `.pte` file.
     ```
-    python -m examples.models.llama2.export_llama -c stories110M.pt -p params.json -X
+    python -m examples.models.llama2.export_llama -c stories110M.pt -p params.json -X -kv
     ```
 4. Create tokenizer.bin.
 
@@ -127,11 +141,13 @@ You can export and run the original Llama 3 8B instruct model.
 
 2. Export model and generate `.pte` file
     ```
-    python -m examples.models.llama2.export_llama --checkpoint <consolidated.00.pth> -p <params.json> -kv --use_sdpa_with_kv_cache -X -qmode 8da4w  --group_size 128 -d fp32 --metadata '{"get_bos_id":128000, "get_eos_id":128001}' --embedding-quantize 4,32 --output_name="llama3_kv_sdpa_xnn_qe_4_32.pte"
+    python -m examples.models.llama2.export_llama --checkpoint <consolidated.00.pth> -p <params.json> -kv --use_sdpa_with_kv_cache -X -qmode 8da4w  --group_size 128 -d fp32 --metadata '{"get_bos_id":128000, "get_eos_ids":[128009, 128001]}' --embedding-quantize 4,32 --output_name="llama3_kv_sdpa_xnn_qe_4_32.pte"
     ```
 
     Due to the larger vocabulary size of Llama 3, we recommend quantizing the embeddings with `--embedding-quantize 4,32` as shown above to further reduce the model size.
 
+3. SpinQuant [Optional]. If you want to improve accuracy, you can use [SpinQuant](https://github.com/facebookresearch/SpinQuant). Namely, (1) you can generate a new checkpoint via `31_optimize_rotation_executorch.sh` and `32_eval_ptq_executorch.sh` commands in [SpinQuant repo](https://github.com/facebookresearch/SpinQuant/tree/main?tab=readme-ov-file#3-export-to-executorch) (2) pass in an extra `--use_spin_quant native` argument in `export_llama` script above.
+
 ### Option D: Download models from Hugging Face and convert from safetensor format to state dict
 
 You can also download above models from [Hugging Face](https://huggingface.co/). Since ExecuTorch starts from a PyTorch model, a script like below can be used to convert the Hugging Face safetensors format to PyTorch's state dict. It leverages the utils provided by [TorchTune](https://github.com/pytorch/torchtune).
@@ -200,8 +216,9 @@ The Wikitext results generated above used: `{max_seq_len: 2048, limit: 1000}`
         -DCMAKE_INSTALL_PREFIX=cmake-out \
         -DEXECUTORCH_ENABLE_LOGGING=1 \
         -DCMAKE_BUILD_TYPE=Release \
-        -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
         -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
+        -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+        -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
         -DEXECUTORCH_BUILD_XNNPACK=ON \
         -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
         -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
@@ -210,6 +227,7 @@ The Wikitext results generated above used: `{max_seq_len: 2048, limit: 1000}`
 
     cmake --build cmake-out -j16 --target install --config Release
     ```
+Note for Mac users: There's a known linking issue with Xcode 15.1. Refer to the session of Common Issues and Mitigations below for solutions.
 
 2. Build llama runner.
     ```
@@ -226,8 +244,6 @@ The Wikitext results generated above used: `{max_seq_len: 2048, limit: 1000}`
     cmake --build cmake-out/examples/models/llama2 -j16 --config Release
     ```
 
-For Llama3, add `-DEXECUTORCH_USE_TIKTOKEN=ON` option when building the llama runner.
-
 3. Run model. Run options available [here](https://github.com/pytorch/executorch/blob/main/examples/models/llama2/main.cpp#L18-L40).
     ```
     cmake-out/examples/models/llama2/llama_main --model_path=<model pte file> --tokenizer_path=<tokenizer.bin> --prompt=<prompt>
@@ -252,8 +268,9 @@ cmake -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake \
     -DANDROID_PLATFORM=android-23 \
     -DCMAKE_INSTALL_PREFIX=cmake-out-android \
     -DCMAKE_BUILD_TYPE=Release \
-    -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
     -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
     -DEXECUTORCH_ENABLE_LOGGING=1 \
     -DPYTHON_EXECUTABLE=python \
     -DEXECUTORCH_BUILD_XNNPACK=ON \
@@ -282,7 +299,6 @@ cmake  -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake \
 
 cmake --build cmake-out-android/examples/models/llama2 -j16 --config Release
 ```
-For Llama3, add `-DEXECUTORCH_USE_TIKTOKEN=ON` option when building the llama runner.
 
 **2. Run on Android via adb shell**
 
@@ -315,9 +331,9 @@ Please refer to [this tutorial](https://pytorch.org/executorch/main/llm/llama-de
 Currently we supported lowering the stories model to other backends, including, CoreML, MPS and QNN. Please refer to the instruction
 for each backend ([CoreML](https://pytorch.org/executorch/main/build-run-coreml.html), [MPS](https://pytorch.org/executorch/main/build-run-mps.html), [QNN](https://pytorch.org/executorch/main/build-run-qualcomm-ai-engine-direct-backend.html)) before trying to lower them. After the backend library is installed, the script to export a lowered model is
 
-- Lower to CoreML: `python -m examples.models.llama2.export_llama -kv --coreml -c stories110M.pt -p params.json`
-- MPS: `python -m examples.models.llama2.export_llama -kv --mps -c stories110M.pt -p params.json`
-- QNN: `python -m examples.models.llama2.export_llama -kv --qnn -c stories110M.pt -p params.json`
+- Lower to CoreML: `python -m examples.models.llama2.export_llama -kv --disable_dynamic_shape --coreml -c stories110M.pt -p params.json `
+- MPS: `python -m examples.models.llama2.export_llama -kv --disable_dynamic_shape --mps -c stories110M.pt -p params.json `
+- QNN: `python -m examples.models.llama2.export_llama -kv --disable_dynamic_shape --qnn -c stories110M.pt -p params.json `
 
 The iOS LLAMA app supports the CoreML and MPS model and the Android LLAMA app supports the QNN model. On Android, it also allow to cross compiler the llama runner binary, push to the device and run.
 
@@ -353,3 +369,24 @@ pip uninstall executorch
 rm -rf cmake-out
 ```
 - If you encounter `pthread` related issues during link time, add `pthread` in `target_link_libraries` in `CMakeLists.txt`
+- On Mac, if there is linking error in Step 4 with error message like
+```
+0  0x100823648  __assert_rtn + 72
+1  0x10074bc5c  ld::Fixup::applyFixup(ld::Atom const*, ld::LayoutLinkedImage const&, unsigned char*) const + 8268
+2  0x1007de7d8  ___ZN2ld16LayoutExecutable27writeContentWithoutLinkEditENSt3__14spanIhLm18446744073709551615EEEy_block_invoke + 332
+3  0x188cca428  _dispatch_client_callout2 + 20
+4  0x188cde850  _dispatch_apply_invoke3 + 336
+5  0x188cca3e8  _dispatch_client_callout + 20
+6  0x188ccbc68  _dispatch_once_callout + 32
+7  0x188cdeeec  _dispatch_apply_invoke_and_wait + 372
+8  0x188cdde9c  _dispatch_apply_with_attr_f + 1212
+9  0x188cde08c  dispatch_apply + 96
+10  0x1007de9e4  void mapReduce<ld::Atom const*, mach_o::Error>(std::__1::span<ld::Atom const*, 18446744073709551615ul>, unsigned long, void (unsigned long, mach_o::Error&, std::__1::span<ld::Atom const*, 18446744073709551615ul>) block_pointer, void (std::__1::span<mach_o::Error, 18446744073709551615ul>) block_pointer) + 336
+11  0x1007de594  ld::LayoutExecutable::writeContentWithoutLinkEdit(std::__1::span<unsigned char, 18446744073709551615ul>, unsigned long long) + 1180
+12  0x1007e4020  ld::LayoutExecutable::writeToFile(char const*) + 15248
+13  0x1007962e8  main + 9424
+ld: Assertion failed: (extras.otherInstrOffset != 0 && "Kind::arm64_adrp_ldr missing extra info"), function applyFixup, file Fixup.cpp, line 793.
+clang: error: linker command failed with exit code 1 (use -v to see invocation)
+```
+It's a known issue for Xcode version 15.1.
+Mitigation: update to most recent Xcode version, clean and rebuild.
diff --git a/examples/models/llama2/TARGETS b/examples/models/llama2/TARGETS
index 319527321e..7ed858a33c 100644
--- a/examples/models/llama2/TARGETS
+++ b/examples/models/llama2/TARGETS
@@ -54,7 +54,7 @@ runtime.python_binary(
     main_function = "executorch.examples.models.llama2.export_llama.main",
     # visibility = ["//executorch/examples/..."],
     preload_deps = [
-        "//executorch/examples/models/llama2/custom_ops:custom_ops_aot_lib",
+        "//executorch/extension/llm/custom_ops:custom_ops_aot_lib",
         "//executorch/kernels/quantized:aot_lib",
     ],
     deps = [
@@ -70,9 +70,13 @@ runtime.python_library(
         "export_llama.py",
         "export_llama_lib.py",
         "model.py",
+        "source_transformation/apply_spin_quant_r1_r2.py",
+        "source_transformation/prune_output.py",
         "source_transformation/quantize.py",
+        "source_transformation/rms_norm.py",
         "source_transformation/rope.py",
         "source_transformation/sdpa.py",
+        "source_transformation/spin_quant.py",
     ],
     _is_external_target = True,
     base_module = "executorch.examples.models.llama2",
@@ -83,17 +87,18 @@ runtime.python_library(
         "@EXECUTORCH_CLIENTS",
     ],
     deps = [
+        "//ai_codesign/gen_ai/fast_hadamard_transform:fast_hadamard_transform",
         "//caffe2:torch",
         "//executorch/examples/models:model_base",
         "//executorch/examples/models:models",
-        "//executorch/examples/models/llama2/custom_ops:custom_ops_aot_py",
+        "//executorch/extension/llm/custom_ops:custom_ops_aot_py",
         "//executorch/extension/llm/export:export_lib",
         # one definition has to be included in the user of the libarary
         # depending on what library the client wants to use
         # "//executorch/extension/pybindings:aten_lib",
         # "//executorch/extension/pybindings:portable_lib",
         # "//executorch/extension/pybindings:portable_lib_plus_custom",
-        "//executorch/sdk/etrecord:etrecord",
+        "//executorch/devtools/etrecord:etrecord",
         "//executorch/util:memory_profiler",
         "//executorch/util:python_profiler",
         "fbsource//third-party/pypi/coremltools:coremltools",
diff --git a/examples/models/llama2/custom_ops/CMakeLists.txt b/examples/models/llama2/custom_ops/CMakeLists.txt
deleted file mode 100644
index 0de9f4df88..0000000000
--- a/examples/models/llama2/custom_ops/CMakeLists.txt
+++ /dev/null
@@ -1,111 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-cmake_minimum_required(VERSION 3.19)
-
-set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
-if(NOT CMAKE_CXX_STANDARD)
-  set(CMAKE_CXX_STANDARD 17)
-endif()
-
-if(NOT PYTHON_EXECUTABLE)
-  set(PYTHON_EXECUTABLE python3)
-endif()
-
-# Source root directory for executorch.
-if(NOT EXECUTORCH_ROOT)
-  set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../../../..)
-endif()
-
-set(_common_compile_options -Wno-deprecated-declarations -fPIC)
-
-include(${EXECUTORCH_ROOT}/build/Utils.cmake)
-include(${EXECUTORCH_ROOT}/build/Codegen.cmake)
-
-#
-# The `_<target>_srcs` lists are defined by including ${EXECUTORCH_SRCS_FILE}.
-#
-set(EXECUTORCH_SRCS_FILE
-    "${CMAKE_CURRENT_BINARY_DIR}/../../../../executorch_srcs.cmake"
-)
-
-extract_sources(${EXECUTORCH_SRCS_FILE})
-
-include(${EXECUTORCH_SRCS_FILE})
-
-# Let files say "include <executorch/path/to/header.h>".
-set(_common_include_directories ${EXECUTORCH_ROOT}/..)
-
-# Custom op libraries
-set(custom_ops_libs pthreadpool)
-list(APPEND custom_ops_libs cpuinfo)
-list(APPEND custom_ops_libs cpublas)
-list(APPEND custom_ops_libs eigen_blas)
-
-list(TRANSFORM _custom_ops__srcs PREPEND "${EXECUTORCH_ROOT}/")
-
-# TODO: Consider moving xnnpack/threadpool in a separate lib since it's now used
-# by custom ops too.
-if(NOT EXECUTORCH_BUILD_XNNPACK)
-  list(
-    APPEND
-    _custom_ops__srcs
-    "${CMAKE_CURRENT_SOURCE_DIR}/../../../../backends/xnnpack/threadpool/threadpool.cpp"
-    "${CMAKE_CURRENT_SOURCE_DIR}/../../../../backends/xnnpack/threadpool/threadpool_guard.cpp"
-  )
-else()
-  list(APPEND custom_ops_libs xnnpack_backend)
-endif()
-
-add_library(custom_ops ${_custom_ops__srcs})
-
-target_include_directories(custom_ops PUBLIC "${_common_include_directories}")
-target_include_directories(
-  custom_ops PRIVATE "${CMAKE_CURRENT_BINARY_DIR}/../../../../include"
-)
-target_link_libraries(
-  custom_ops PUBLIC ${custom_ops_libs} executorch_no_prim_ops
-)
-
-target_compile_options(
-  custom_ops PUBLIC ${_common_compile_options} -DET_USE_THREADPOOL
-)
-
-install(TARGETS custom_ops DESTINATION lib)
-
-if(EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT)
-  # Add a AOT library
-  find_package(Torch CONFIG REQUIRED)
-  add_library(
-    custom_ops_aot_lib SHARED ${_custom_ops__srcs}
-                              ${CMAKE_CURRENT_SOURCE_DIR}/op_sdpa_aot.cpp
-  )
-  target_include_directories(
-    custom_ops_aot_lib PUBLIC "${_common_include_directories}"
-  )
-  target_include_directories(
-    custom_ops_aot_lib
-    PRIVATE "${CMAKE_CURRENT_BINARY_DIR}/../../../../include"
-  )
-  if(TARGET portable_lib)
-    # If we have portable_lib built, custom_ops_aot_lib gives the ability to use
-    # the ops in PyTorch and ExecuTorch through pybind
-    target_link_libraries(custom_ops_aot_lib PUBLIC portable_lib)
-  else()
-    # If no portable_lib, custom_ops_aot_lib still gives the ability to use the
-    # ops in PyTorch
-    target_link_libraries(custom_ops_aot_lib PUBLIC executorch_no_prim_ops)
-  endif()
-
-  target_link_libraries(custom_ops_aot_lib PUBLIC cpublas torch)
-  target_compile_options(
-    custom_ops_aot_lib
-    PUBLIC -Wno-deprecated-declarations -fPIC -frtti -fexceptions
-           ${_common_compile_options} -DET_USE_THREADPOOL
-  )
-
-  install(TARGETS custom_ops_aot_lib DESTINATION lib)
-endif()
diff --git a/examples/models/llama2/custom_ops/TARGETS b/examples/models/llama2/custom_ops/TARGETS
deleted file mode 100644
index 195df3bb93..0000000000
--- a/examples/models/llama2/custom_ops/TARGETS
+++ /dev/null
@@ -1,23 +0,0 @@
-# Any targets that should be shared between fbcode and xplat must be defined in
-# targets.bzl. This file can contain fbcode-only targets.
-
-load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
-load(":targets.bzl", "define_common_targets")
-
-oncall("executorch")
-
-define_common_targets()
-
-runtime.python_test(
-    name = "test_sdpa_with_kv_cache",
-    srcs = [
-        "test_sdpa_with_kv_cache.py",
-    ],
-    preload_deps = [
-        ":custom_ops_aot_lib",
-        ":custom_ops_aot_py",
-    ],
-    deps = [
-        "//caffe2:torch",
-    ],
-)
diff --git a/examples/models/llama2/custom_ops/targets.bzl b/examples/models/llama2/custom_ops/targets.bzl
deleted file mode 100644
index cac83abe07..0000000000
--- a/examples/models/llama2/custom_ops/targets.bzl
+++ /dev/null
@@ -1,88 +0,0 @@
-load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
-
-def define_common_targets():
-    """Defines targets that should be shared between fbcode and xplat.
-
-    The directory containing this targets.bzl file should also contain both
-    TARGETS and BUCK files that call this function.
-    """
-    runtime.cxx_library(
-        name = "custom_ops",
-        srcs = ["op_sdpa.cpp"],
-        exported_headers = ["op_sdpa.h"],
-        exported_deps = [
-            "//executorch/runtime/kernel:kernel_includes",
-            "//executorch/kernels/portable/cpu:scalar_utils",
-            "//executorch/kernels/optimized:libblas",
-            "//executorch/kernels/optimized:libvec",
-            "//executorch/extension/kernel_util:kernel_util",
-            "//executorch/extension/parallel:thread_parallel",
-            "//executorch/backends/xnnpack/threadpool:threadpool",
-        ],
-        compiler_flags = ["-Wno-missing-prototypes", "-Wno-global-constructors"],
-        visibility = [
-            "//executorch/...",
-            "//executorch/examples/models/llama2/custom_ops/...",
-            "@EXECUTORCH_CLIENTS",
-        ],
-        # @lint-ignore BUCKLINT link_whole
-        link_whole = True,
-        force_static = True,
-    )
-
-    runtime.cxx_library(
-        name = "custom_ops_aot_lib",
-        srcs = [
-            "op_sdpa_aot.cpp",
-        ],
-        visibility = [
-            "//executorch/...",
-            "@EXECUTORCH_CLIENTS",
-        ],
-        external_deps = [
-            "libtorch",
-        ],
-        deps = [
-            ":custom_ops",
-            "//executorch/extension/aten_util:aten_bridge",
-        ],
-    )
-
-    runtime.python_library(
-        name = "custom_ops_aot_py",
-        srcs = [
-            "sdpa_with_kv_cache.py",
-        ],
-        visibility = ["//executorch/..."],
-        deps = [
-            "//caffe2:torch",
-        ],
-    )
-
-    runtime.cxx_test(
-        name = "op_sdpa_test",
-        srcs = [
-            "op_sdpa_test.cpp",
-        ],
-        visibility = ["//executorch/..."],
-        deps = [
-            "//executorch/runtime/core/exec_aten:lib",
-            "//executorch/runtime/core/exec_aten/testing_util:tensor_util",
-            "//executorch/kernels/test:test_util",
-            ":custom_ops",
-        ],
-    )
-
-    runtime.cxx_test(
-        name = "op_sdpa_with_kv_cache_test",
-        srcs = [
-            "op_sdpa_with_kv_cache_test.cpp",
-        ],
-        visibility = ["//executorch/..."],
-        deps = [
-            "//executorch/runtime/core/exec_aten:lib",
-            "//executorch/runtime/core/exec_aten/testing_util:tensor_util",
-            "//executorch/kernels/test:test_util",
-            ":custom_ops",
-        ],
-    )
diff --git a/examples/models/llama2/eval_llama.py b/examples/models/llama2/eval_llama.py
index 0495c76bbf..4daeaf7afa 100644
--- a/examples/models/llama2/eval_llama.py
+++ b/examples/models/llama2/eval_llama.py
@@ -22,6 +22,8 @@ def main() -> None:
     modelname = "llama2"
     parser = build_args_parser()
     args = parser.parse_args()
+    # Overrides this arg, because evaluation requires full logits.
+    args.generate_full_logits = True
     eval_llama(modelname, args)
 
 
diff --git a/examples/models/llama2/eval_llama_lib.py b/examples/models/llama2/eval_llama_lib.py
index 5e23a25002..b8987ac5d4 100644
--- a/examples/models/llama2/eval_llama_lib.py
+++ b/examples/models/llama2/eval_llama_lib.py
@@ -20,7 +20,7 @@
 from executorch.extension.llm.tokenizer.tokenizer import (
     Tokenizer as SentencePieceTokenizer,
 )
-
+from executorch.extension.llm.tokenizer.utils import get_tokenizer
 from lm_eval.api.model import LM
 
 from .export_llama_lib import (
@@ -29,6 +29,56 @@
 )
 
 
+class GraphModuleEvalWrapper(EagerEvalWrapper):
+    """
+    A wrapper class for ExecuTorch py-binded integration with the
+    lm-evaluation-harness library.
+    """
+
+    def __init__(
+        self,
+        model: torch.fx.GraphModule,
+        tokenizer: Union[SentencePieceTokenizer, Tiktoken],
+        max_seq_length: Optional[int] = None,
+        use_kv_cache: bool = False,
+        generate_full_logits: bool = False,
+        enable_dynamic_shape: bool = True,
+    ):
+        super().__init__(
+            model=model, tokenizer=tokenizer, max_seq_length=max_seq_length
+        )
+        self._model = model.to(self.device)
+        self._use_kv_cache = use_kv_cache
+        self._generate_full_logits = generate_full_logits
+        self._enable_dynamic_shape = enable_dynamic_shape
+
+    def _model_call(self, inps):
+        if self._use_kv_cache:
+            if not self._enable_dynamic_shape:
+                # graph module exported without dynamic shape won't work with a different shape.
+                # And we have to do single token prefill here.
+                result_logits = []
+                for pos in range(inps.shape[-1]):
+                    pos_tensor = torch.tensor([pos], dtype=torch.int64)
+                    logits = self._model(inps[:, pos : pos + 1], pos_tensor)
+                    result_logits.append(logits)
+                if self._generate_full_logits:
+                    return torch.cat(result_logits, dim=1)
+                else:
+                    return torch.stack(result_logits, dim=1)
+            else:
+                pos_tensor = torch.tensor([0], dtype=torch.int64, device=self.device)
+                # Batch process the whole sequence.
+                logits = self._model(inps[:, : self._max_seq_length], pos_tensor)
+                return logits
+
+        else:
+            return self._model(inps)
+
+    def _model_generate(self, context, max_length, eos_token_id):
+        raise Exception("unimplemented")
+
+
 class ETPybindEvalWrapper(EagerEvalWrapper):
     """
     A wrapper class for ExecuTorch py-binded integration with the
@@ -46,6 +96,15 @@ def __init__(
 
         from executorch.extension.pybindings.portable_lib import _load_for_executorch
 
+        # Load custom ops and quantized ops.
+        from executorch.extension.pybindings import portable_lib  # noqa # usort: skip
+
+        # Note: import this after portable_lib
+        from executorch.extension.llm.custom_ops import (  # noqa
+            sdpa_with_kv_cache,  # usort: skip
+        )
+        from executorch.kernels import quantized  # noqa
+
         self._et_model = _load_for_executorch(self._model)
         self._use_kv_cache = self._et_model.run_method("use_kv_cache")[0]
 
@@ -53,16 +112,19 @@ def _model_call(self, inps):
         # Given inps (tokens), return the logits from a single forward call
         # inps: Tensor of shape (1, max_seq_len - 1)
         # logits: Tensor of shape (1, max_seq_len - 1, vocab_size)
+        result = []
         if self._use_kv_cache:
-            result_logits = []
-            for pos in range(self._max_seq_length):
-                pos_tensor = torch.tensor([pos], dtype=torch.int64)
-                logits = self._et_model.forward((inps[:, pos : pos + 1], pos_tensor))
-                result_logits.append(logits[0])
-            return torch.cat(result_logits, dim=1)
+            pos_tensor = torch.tensor([0], dtype=torch.int64, device=self.device)
+            result = self._et_model.forward(
+                (inps[:, : self._max_seq_length], pos_tensor)
+            )
         else:
             result = self._et_model.forward((inps,))
-            return result[0]
+        if result[0].dim() != 3:
+            raise ValueError(
+                f"Dim of logits must be 3 for evaluation. Got {result[0].dim()} here. Add --generate_full_logits in export_llama to generate a pte file with full logits."
+            )
+        return result[0]
 
 
 class ETRunnerEvalWrapper(EagerEvalWrapper):
@@ -103,11 +165,7 @@ def gen_eval_wrapper(
     Returns:
         eval_wrapper (LM): A wrapper interface for the lm-evaluation-harness library.
     """
-    try:
-        tokenizer = SentencePieceTokenizer(model_path=str(args.tokenizer_path))
-    except Exception:
-        print("Using Tiktokenizer")
-        tokenizer = Tiktoken(model_path=str(args.tokenizer_path))
+    tokenizer = get_tokenizer(args.tokenizer_path)
 
     # ExecuTorch Binary Evaluation
     if (model := args.pte) is not None:
@@ -140,6 +198,13 @@ def gen_eval_wrapper(
             if torch.cuda.is_available()
             else manager.pre_autograd_graph_module.to(device="cpu")
         )
+        return GraphModuleEvalWrapper(
+            model=model,
+            tokenizer=tokenizer,
+            max_seq_length=args.max_seq_length,
+            use_kv_cache=args.use_kv_cache,
+            enable_dynamic_shape=args.enable_dynamic_shape,
+        )
     else:
         # TODO: use manager.pre_autograd_graph_module for the eval to remove the if-else branch
         # for quantizers. Currently capture_pre_autograd_graph only works with --kv_cache, but
@@ -150,12 +215,21 @@ def gen_eval_wrapper(
             else manager.model.eval().to(device="cpu")
         )
 
-    return EagerEvalWrapper(
-        model=model,
-        tokenizer=tokenizer,
-        max_seq_length=args.max_seq_length,
-        use_kv_cache=args.use_kv_cache,
-    )
+        # Save the checkpoint after the eager model preparation is done.
+        # The reason for this option is that the checkpoint can be used
+        # to do evaluations in other evaluation platforms, or with data
+        # that is not available in this eval_llama. We save the checkpoint
+        # here for consistency with eval_llama. The accuracy results we
+        # get from eval_llama can be used as a reference to other evaluations.
+        if args.output_eager_checkpoint_file is not None:
+            torch.save(model, args.output_eager_checkpoint_file)
+
+        return EagerEvalWrapper(
+            model=model,
+            tokenizer=tokenizer,
+            max_seq_length=args.max_seq_length,
+            use_kv_cache=args.use_kv_cache,
+        )
 
 
 def build_args_parser() -> argparse.ArgumentParser:
@@ -188,6 +262,12 @@ def build_args_parser() -> argparse.ArgumentParser:
         default=None,
         help="[For ExecuTorch] Path to the Tokenizer binary for evaluating ExecuTorch models via runtime",
     )
+    parser.add_argument(
+        "--output_eager_checkpoint_file",
+        type=str,
+        default=None,
+        help="Save the checkpoint after source transformations, for other evaluation platform to run the same checkpoint.",
+    )
 
     return parser
 
diff --git a/examples/models/llama2/evaluate/eager_eval.py b/examples/models/llama2/evaluate/eager_eval.py
index 8ac19cdd65..e8a540f95e 100644
--- a/examples/models/llama2/evaluate/eager_eval.py
+++ b/examples/models/llama2/evaluate/eager_eval.py
@@ -77,10 +77,7 @@ def tok_decode(self, tokens):
 
     def _model_call(self, inps):
         if self._use_kv_cache:
-            pos_tensor = torch.arange(
-                self._max_seq_length, dtype=torch.int64, device=self.device
-            )
-
+            pos_tensor = torch.tensor([0], dtype=torch.int64, device=self.device)
             # Batch process the whole sequence.
             logits = self._model(inps[:, : self._max_seq_length], pos_tensor)
             return logits
@@ -102,7 +99,7 @@ def evaluate_model(
 
     Args:
         eval_wrapper (LM): A LM wrapper class compatible with lm-evaluation-harness evaluation
-        task (str): The name of the evaluation task to perform.
+        tasks: Optional[list]: The names of the evaluation tasks to perform.
         limit (Optional[int]): The maximum number of samples to evaluate (None for all available).
 
     Returns:
diff --git a/examples/models/llama2/export_llama_lib.py b/examples/models/llama2/export_llama_lib.py
index cf5d1b6e6f..ff917ab575 100644
--- a/examples/models/llama2/export_llama_lib.py
+++ b/examples/models/llama2/export_llama_lib.py
@@ -16,12 +16,14 @@
 from enum import Enum
 from json import JSONDecodeError
 from pathlib import Path
-from typing import Optional, Union
+from typing import Callable, List, Optional, Union
 
 import pkg_resources
 
 import torch
 
+from executorch.devtools.etrecord import generate_etrecord
+
 from executorch.examples.models.llama2.llama_transformer import ModelArgs
 
 from executorch.extension.llm.export.builder import DType, LLMEdgeManager
@@ -35,23 +37,31 @@
 )
 
 from executorch.extension.llm.export.quantizer_lib import (
+    get_coreml_quantizer,
     get_pt2e_quantization_params,
     get_pt2e_quantizers,
     get_qnn_quantizer,
 )
-
-from executorch.sdk.etrecord import generate_etrecord
 from executorch.util.activation_memory_profiler import generate_memory_trace
 
 from ..model_factory import EagerModelFactory
+from .source_transformation.apply_spin_quant_r1_r2 import (
+    fuse_layer_norms,
+    get_model_with_r1_r2,
+)
 from .source_transformation.quantize import (
     get_quant_embedding_transform,
     get_quant_weight_transform,
 )
+from .source_transformation.rms_norm import replace_rms_norm_with_native_rms_norm
 from .source_transformation.rope import materialze_broadcast_of_rope_freq_cis
 from .source_transformation.sdpa import (
     replace_causal_mask,
+    replace_kv_cache_with_coreml_kv_cache,
+    replace_kv_cache_with_simple_kv_cache,
+    replace_sdpa_with_coreml_sdpa,
     replace_sdpa_with_custom_op,
+    replace_sdpa_with_flex_sdpa,
     replace_sdpa_with_simple_sdpa,
 )
 
@@ -128,6 +138,11 @@ def build_args_parser() -> argparse.ArgumentParser:
             "qnn_8a8w",
             "qnn_16a16w",
             "qnn_16a4w",
+            "coreml_c4w",
+            "coreml_8a_c8w",
+            "coreml_8a_c4w",
+            "coreml_baseline_8a_c8w",
+            "coreml_baseline_8a_c4w",
         ],
         help="Use PT2E quantization. Comma separated options. e.g. xnnpack_dynamic (for per channel 8 bit weight), xnnpack_dynamic_qc4 (for per channel 4 bit weight), embedding.",
     )
@@ -158,19 +173,25 @@ def build_args_parser() -> argparse.ArgumentParser:
         nargs="+",
         type=str,
         default=None,
-        help="Tasks for GPTQ calibration",
+        help="Tasks for GPTQ calibration from lm_eval",
     )
     parser.add_argument(
         "--calibration_limit",
         type=int,
         default=None,
-        help="number of samples used for calibration",
+        help="number of samples used for calibration from lm_eval",
     )
     parser.add_argument(
         "--calibration_seq_length",
         type=int,
         default=None,
-        help="Sequence length for GPTQ calibration",
+        help="Sequence length for GPTQ calibration from lm_eval",
+    )
+    parser.add_argument(
+        "--calibration_data",
+        type=str,
+        default="Once upon a time",
+        help="Calibration prompts from users",
     )
     parser.add_argument(
         "-t",
@@ -185,6 +206,12 @@ def build_args_parser() -> argparse.ArgumentParser:
         action="store_true",
         help="Whether or not to export a model using kv cache",
     )
+    parser.add_argument(
+        "--num_sharding",
+        type=int,
+        default=0,
+        help="Specify the number of splits by inserting the fallback custom op. The graph will be split evenly by layers.",
+    )
     parser.add_argument(
         "--use_sdpa_with_kv_cache",
         default=False,
@@ -204,6 +231,13 @@ def build_args_parser() -> argparse.ArgumentParser:
         default=f"{ckpt_dir}/params/demo_config.json",
         help="config.json",
     )
+    parser.add_argument(
+        "--optimized_rotation_path",
+        default=None,
+        required=False,
+        help="[QNN backend] Optimized rotation checkpoint path. Just apply R1/R2 here."
+        "You can download the optimized rotation matrices from https://github.com/facebookresearch/SpinQuant/tree/main",
+    )
     parser.add_argument(
         "-m",
         "--metadata",
@@ -242,9 +276,9 @@ def build_args_parser() -> argparse.ArgumentParser:
         "--dtype-override",
         default="fp32",
         type=str,
-        choices=["fp32", "fp16"],
+        choices=["fp32", "fp16", "bf16"],
         help="Override the dtype of the model (default is the checkpoint dtype)."
-        "Options: fp32, fp16. Please be aware that only some backends support fp16.",
+        "Options: fp32, fp16, bf16. Please be aware that only some backends support fp16 and bf16.",
     )
 
     parser.add_argument(
@@ -267,6 +301,29 @@ def build_args_parser() -> argparse.ArgumentParser:
     parser.add_argument("-V", "--vulkan", action="store_true")
     parser.add_argument("--mps", action="store_true")
     parser.add_argument("--coreml", action="store_true")
+    parser.add_argument(
+        "--coreml-enable-state",
+        action="store_true",
+        help="This option is only for coreml, and is only supported for MacOS15+/iOS18+",
+    )
+    parser.add_argument(
+        "--coreml-preserve-sdpa",
+        action="store_true",
+        help="This option is only for coreml: Preserve sdpa in torch edge program to use coreml iOS18.sdpa op",
+    )
+    parser.add_argument(
+        "--coreml-quantize",
+        default=None,
+        choices=["b4w"],
+        help="This option is only for coreml: Use coreml quantization, e.g. b4w (for blockwise 4 bit weight)",
+    )
+    parser.add_argument(
+        "--coreml-ios",
+        type=int,
+        default=15,
+        choices=(15, 16, 17, 18),
+        help="This option is only for coreml: The minimum iOS version to deploy",
+    )
     parser.add_argument(
         "--qnn",
         action="store_true",
@@ -288,11 +345,40 @@ def build_args_parser() -> argparse.ArgumentParser:
         help="Generate the ETRecord debug artifact.",
     )
 
+    parser.add_argument(
+        "--generate_full_logits",
+        action="store_true",
+        required=False,
+        default=False,
+        help="Generate logits for all inputs.",
+    )
+
+    parser.add_argument(
+        "--soc_model",
+        help="[QNN backend] SoC model of current device. e.g. 'SM8650' for Snapdragon 8 Gen 3.",
+        type=str,
+        required=False,
+        default="SM8650",
+    )
+
+    parser.add_argument(
+        "-sq",
+        "--use_spin_quant",
+        type=str,
+        default=None,
+        choices=["cuda", "native"],
+        help="Use SpinQuant for better quantization performance. Only support cuda and native.",
+    )
+
+    parser.add_argument(
+        "--output_prune_map",
+        default=None,
+        help="path to the output pruning token mapping file (token_map.json)",
+    )
     return parser
 
 
 def canonical_path(path: Union[str, Path], *, dir: bool = False) -> str:
-
     path = str(path)
 
     if verbose_export():
@@ -360,30 +446,6 @@ def _prepare_for_llama_export(modelname: str, args) -> LLMEdgeManager:
     else:
         dtype_override = None
 
-    # source transforms
-    transforms = []
-    if args.quantization_mode:
-        modelname = f"{modelname}_q"
-        transforms.append(
-            get_quant_weight_transform(args, dtype_override, verbose_export())
-        )
-
-    if args.embedding_quantize:
-        modelname = f"{modelname}_e"
-        transforms.append(get_quant_embedding_transform(args))
-
-    if args.expand_rope_table:
-        transforms.append(materialze_broadcast_of_rope_freq_cis)
-
-    if args.use_sdpa_with_kv_cache:
-        transforms.append(replace_sdpa_with_custom_op)
-
-    if args.use_kv_cache:
-        if args.qnn or args.coreml or args.mps:
-            # Currently qnn/coreml/mps doesn't support sdpa op, use the simpler decomposition
-            # to get free perf gain.
-            transforms.append(replace_sdpa_with_simple_sdpa)
-            transforms.append(replace_causal_mask)
     return (
         _load_llama_model(
             modelname=modelname,
@@ -392,15 +454,23 @@ def _prepare_for_llama_export(modelname: str, args) -> LLMEdgeManager:
             params_path=params_path,
             use_kv_cache=args.use_kv_cache,
             use_sdpa_with_kv_cache=args.use_sdpa_with_kv_cache,
+            generate_full_logits=args.generate_full_logits,
             weight_type=weight_type,
             enable_dynamic_shape=args.enable_dynamic_shape,
+            calibration_tasks=args.calibration_tasks,
+            calibration_limit=args.calibration_limit,
+            calibration_seq_length=args.calibration_seq_length,
+            calibration_data=args.calibration_data,
+            tokenizer_path=args.tokenizer_path,
             verbose=args.verbose,
             max_seq_len=args.max_seq_length,
+            output_prune_map_path=args.output_prune_map,
             metadata_str=args.metadata,
+            args=args,
         )
         .set_output_dir(output_dir_path)
         .to_dtype(dtype_override)
-        .source_transform(transforms)
+        .source_transform(_get_source_transforms(modelname, dtype_override, args))
     )
 
 
@@ -416,6 +486,10 @@ def get_quantizer_and_quant_params(args):
             args.pt2e_quantize, args.quantization_mode
         )
         quantizers.append(qnn_quantizer)
+    if args.coreml and args.pt2e_quantize:
+        assert len(quantizers) == 0, "Should not enable both xnnpack / qnn and coreml"
+        coreml_quantizer = get_coreml_quantizer(args.pt2e_quantize)
+        quantizers.append(coreml_quantizer)
     logging.info(f"Applying quantizers: {quantizers}")
     return pt2e_quant_params, quantizers, quant_dtype
 
@@ -430,6 +504,9 @@ def _validate_args(args):
             " Please use --disable_dynamic_shape."
         )
 
+    if args.num_sharding > 0 and not args.qnn:
+        raise ValueError("Model shard is only supported with qnn backend now.")
+
 
 def _export_llama(modelname, args) -> LLMEdgeManager:  # noqa: C901
     _validate_args(args)
@@ -469,15 +546,21 @@ def _export_llama(modelname, args) -> LLMEdgeManager:  # noqa: C901
         modelname = f"mps_{modelname}"
 
     if args.coreml:
-        partitioners.append(get_coreml_partitioner(args.use_kv_cache))
+        coreml_partitioner = get_coreml_partitioner(
+            args.coreml_ios,
+            args.embedding_quantize,
+            args.pt2e_quantize,
+            args.coreml_quantize,
+        )
+        partitioners.append(coreml_partitioner)
         modelname = f"coreml_{modelname}"
 
     if args.qnn:
+        from executorch.extension.llm.custom_ops import model_sharding
+
         partitioners.append(
             get_qnn_partitioner(
-                quant_dtype,
-                args.use_kv_cache,
-                args.pt2e_quantize,
+                args.use_kv_cache, args.pt2e_quantize, args.num_sharding, args.soc_model
             )
         )
         # pyre-ignore: Undefined import [21]: Could not find a module corresponding to import `executorch.backends.qualcomm.utils.utils`
@@ -486,6 +569,13 @@ def _export_llama(modelname, args) -> LLMEdgeManager:  # noqa: C901
         # pyre-ignore: Undefined attribute [16]: Module `executorch.backends` has no attribute `qualcomm`, Optional type has no attribute `exported_program`
         _transform(builder_exported_to_edge.edge_manager.exported_program())
 
+        if args.num_sharding > 0:
+            model_sharding.split_graph(
+                builder_exported_to_edge.edge_manager.exported_program(),
+                builder_exported_to_edge.metadata["get_n_layers"],
+                shares=args.num_sharding,
+            )
+
     if args.generate_etrecord:
         if not builder_exported_to_edge.edge_manager:
             raise ValueError("Unable to generate etrecord due to missing edge manager.")
@@ -493,7 +583,16 @@ def _export_llama(modelname, args) -> LLMEdgeManager:  # noqa: C901
         logging.info("Generating etrecord")
         # Copy the edge manager which will be serialized into etrecord. This is memory-wise expensive.
         edge_manager_copy = copy.deepcopy(builder_exported_to_edge.edge_manager)
-        builder = builder_exported_to_edge.to_backend(partitioners).to_executorch()
+        builder = builder_exported_to_edge.to_backend(partitioners)
+        if args.num_sharding > 0 and args.qnn:
+            from executorch.backends.qualcomm.utils.utils import canonicalize_program
+
+            # TODO: Need to remove this once we have better way to handle buffer size
+            canonicalize_program(
+                builder.edge_manager.exported_program(), custom_buffer_size=542048256
+            )
+
+        builder = builder.to_executorch()
 
         # Generate ETRecord
         if edge_manager_copy:
@@ -504,7 +603,16 @@ def _export_llama(modelname, args) -> LLMEdgeManager:  # noqa: C901
             )
             logging.info("Generated etrecord.bin")
     else:
-        builder = builder_exported_to_edge.to_backend(partitioners).to_executorch()
+        builder = builder_exported_to_edge.to_backend(partitioners)
+        if args.num_sharding > 0 and args.qnn:
+            from executorch.backends.qualcomm.utils.utils import canonicalize_program
+
+            # TODO: Need to remove this once we have better way to handle buffer size
+            canonicalize_program(
+                builder.edge_manager.exported_program(), custom_buffer_size=542048256
+            )
+
+        builder = builder.to_executorch()
 
     if args.profile_memory:
         generate_memory_trace(builder.export_program, "memory_profile.json")
@@ -533,27 +641,22 @@ def _export_llama(modelname, args) -> LLMEdgeManager:  # noqa: C901
 
 def _load_llama_model_metadata(
     weight_type: WeightType,
-    dtype: DType,
     use_kv_cache: bool,
     use_sdpa_with_kv_cache: bool,
     enable_dynamic_shape: bool,
-    modelArgs: ModelArgs,
+    model_args: ModelArgs,
     metadata_str: Optional[str] = None,
 ):
     is_fairseq2 = weight_type == WeightType.FAIRSEQ2
     metadata = {
         "append_eos_to_prompt": is_fairseq2,  # For language llama, tell the runtime to always append EOS token(s) to prompt.
         "get_bos_id": 3 if is_fairseq2 else 1,
-        "get_dtype": 5 if dtype == DType.fp16 else 6,
-        "get_eos_id": 3 if is_fairseq2 else 2,
-        "get_head_dim": modelArgs.dim // modelArgs.n_heads,
-        "get_max_batch_size": modelArgs.max_batch_size,
-        "get_max_seq_len": modelArgs.max_seq_len,
+        "get_eos_ids": [3] if is_fairseq2 else [2],
+        "get_max_seq_len": model_args.max_seq_len,
         "get_n_bos": 1,
         "get_n_eos": 2 if is_fairseq2 else 1,
-        "get_n_kv_heads": modelArgs.n_kv_heads,
-        "get_n_layers": modelArgs.n_layers,
-        "get_vocab_size": modelArgs.vocab_size,
+        "get_n_layers": model_args.n_layers,
+        "get_vocab_size": model_args.vocab_size,
         "use_kv_cache": use_kv_cache,
         "use_sdpa_with_kv_cache": use_sdpa_with_kv_cache,
         "enable_dynamic_shape": enable_dynamic_shape,
@@ -576,11 +679,19 @@ def _load_llama_model(
     params_path: str,
     use_kv_cache: bool = False,
     use_sdpa_with_kv_cache: bool = False,
+    generate_full_logits: bool = False,
     weight_type: WeightType = WeightType.LLAMA,
     enable_dynamic_shape: bool = False,
+    calibration_tasks: Optional[List[str]] = None,
+    calibration_limit: Optional[int] = None,
+    calibration_seq_length: Optional[int] = None,
+    calibration_data: Optional[str] = None,
+    tokenizer_path: Optional[str] = None,
     verbose: bool = False,
     max_seq_len: int = 128,
+    output_prune_map_path: Optional[str] = None,
     metadata_str: Optional[str] = None,
+    args,
 ) -> "LLMEdgeManager":
     """
     A helper util that builds a Llama2 model. It returns a LLMEdgeManager that
@@ -602,9 +713,12 @@ def _load_llama_model(
         params=params_path,
         use_kv_cache=use_kv_cache,
         use_sdpa_with_kv_cache=use_sdpa_with_kv_cache,
+        generate_full_logits=generate_full_logits,
         fairseq2=weight_type == WeightType.FAIRSEQ2,
         max_seq_len=max_seq_len,
         enable_dynamic_shape=enable_dynamic_shape,
+        output_prune_map_path=output_prune_map_path,
+        args=args,
     )
     state_dict = model.state_dict()
     dtype = state_dict[next(iter(state_dict))].dtype
@@ -630,16 +744,92 @@ def _load_llama_model(
         max_seq_len=model.params.max_seq_len,
         dtype=dtype,
         use_kv_cache=use_kv_cache,
+        generate_full_logits=generate_full_logits,
         example_inputs=example_inputs,
         enable_dynamic_shape=enable_dynamic_shape,
+        calibration_tasks=calibration_tasks,
+        calibration_limit=calibration_limit,
+        calibration_seq_length=calibration_seq_length,
+        calibration_data=calibration_data,
+        tokenizer_path=tokenizer_path,
         verbose=verbose,
         metadata=_load_llama_model_metadata(
             weight_type,
-            dtype,
             use_kv_cache,
             use_sdpa_with_kv_cache,
             enable_dynamic_shape,
             model.params,
             metadata_str,
         ),
+        args=args,
     )
+
+
+def _get_source_transforms(  # noqa
+    modelname: str, dtype_override: Optional[DType], args
+) -> List[Callable[[torch.nn.Module], torch.nn.Module]]:
+    transforms = []
+    if args.quantization_mode:
+        modelname = f"{modelname}_q"
+        if args.use_spin_quant is None:
+            transforms.append(
+                get_quant_weight_transform(args, dtype_override, verbose_export())
+            )
+        # For SpinQuant, the checkpoints are already quantized
+        # aka the weights have corresponding scales value,
+        # So that means, we don't need to apply quantization
+        # transform. However, we will still need to apply
+        # transformations that change the model structure to
+        # match the checkpoint format.
+        # transform_for_spinquant() will apply these transformations
+        # later in model.py file.
+        elif args.use_spin_quant == "cuda":
+            from .source_transformation.spin_quant import (
+                inject_fast_hadamard_transform_cuda_for_spin_quant,
+            )
+
+            transforms.append(inject_fast_hadamard_transform_cuda_for_spin_quant)
+        elif args.use_spin_quant == "native":
+            raise NotImplementedError("native SpinQuant is not implemented yet.")
+
+    if args.embedding_quantize:
+        modelname = f"{modelname}_e"
+        transforms.append(get_quant_embedding_transform(args))
+
+    if args.expand_rope_table:
+        transforms.append(materialze_broadcast_of_rope_freq_cis)
+
+    if args.use_sdpa_with_kv_cache:
+        transforms.append(replace_sdpa_with_custom_op)
+
+    if args.use_kv_cache:
+        if args.qnn:
+            # pyre-ignore: Undefined import [21]: Could not find a module corresponding to import `executorch.backends.qualcomm.utils.utils`
+            from executorch.backends.qualcomm.utils.utils import (
+                convert_linear_to_conv2d,
+            )
+
+            transforms.append(replace_kv_cache_with_simple_kv_cache)
+            transforms.append(replace_sdpa_with_flex_sdpa)
+            transforms.append(replace_causal_mask)
+            transforms.append(replace_rms_norm_with_native_rms_norm)
+            if args.optimized_rotation_path:
+                transforms.append(fuse_layer_norms)
+                transforms.append(get_model_with_r1_r2(args.optimized_rotation_path))
+            transforms.append(convert_linear_to_conv2d)
+
+        elif args.mps:
+            # Currently mps doesn't support sdpa op, use the simpler decomposition
+            # to get free perf gain.
+            transforms.append(replace_sdpa_with_simple_sdpa)
+            transforms.append(replace_causal_mask)
+
+        elif args.coreml:
+            # iOS 18 introduced fused sdpa op
+            if args.coreml_ios >= 18:
+                transforms.append(replace_sdpa_with_coreml_sdpa)
+            else:
+                transforms.append(replace_sdpa_with_simple_sdpa)
+            transforms.append(replace_kv_cache_with_coreml_kv_cache)
+
+    return transforms
diff --git a/examples/models/llama2/install_requirements.sh b/examples/models/llama2/install_requirements.sh
index d316790d57..ddd29ad3f6 100755
--- a/examples/models/llama2/install_requirements.sh
+++ b/examples/models/llama2/install_requirements.sh
@@ -8,11 +8,15 @@
 # Install snakeviz for cProfile flamegraph
 # Install sentencepiece for llama tokenizer
 pip install snakeviz sentencepiece
-pip install torchao==0.1
+
+# Install torchao.
+TORCHAO_VERSION=$(cat "$(dirname "$0")"/../../../.ci/docker/ci_commit_pins/torchao.txt)
+pip install --no-use-pep517 --user "git+https://github.com/pytorch/ao.git@${TORCHAO_VERSION}"
 
 # Install lm-eval for Model Evaluation with lm-evalution-harness
 # Install tiktoken for tokenizer
-pip install lm-eval tiktoken blobfile
+pip install lm_eval==0.4.2
+pip install tiktoken blobfile
 
 # Call the install helper for further setup
 python examples/models/llama2/install_requirement_helper.py
diff --git a/examples/models/llama2/llama_transformer.py b/examples/models/llama2/llama_transformer.py
index 56bf4a96c3..65090e2fe5 100644
--- a/examples/models/llama2/llama_transformer.py
+++ b/examples/models/llama2/llama_transformer.py
@@ -9,7 +9,7 @@
 
 from dataclasses import dataclass
 from functools import partial
-from typing import Optional, Tuple
+from typing import Dict, Optional, Tuple
 
 import torch
 import torch.nn.functional as F
@@ -39,6 +39,7 @@ def __init__(self, dim: int, eps: float = 1e-6):
 
         """
         super().__init__()
+        self.dim = dim
         self.eps = eps
         self.weight = nn.Parameter(torch.ones(dim))
 
@@ -96,7 +97,13 @@ class ModelArgs:
     use_sdpa_with_kv_cache_op: bool = (
         False  # Use custom sdpa op that updates kv cache in-place
     )
+    # Generate logits for all inputs. When it's True, it would take big memory usage
+    # at runtime. Enable it only necessary (e.g., use perplexity tools that requires
+    # logits for all input tokens.)
+    generate_full_logits: bool = False
     enable_dynamic_shape: bool = False  # export model with dynamic shape support
+    # A dictionary mapping from pruned token-id to original token-id
+    output_prune_map: Optional[Dict[int, int]] = None
     use_hf_rope: bool = False  # Use HuggingFace's RoPE implementation
     rope_theta: Optional[float] = (
         None  # The official name to override self.rope_freq_base.
@@ -131,18 +138,6 @@ def __post_init__(self):
             self.hidden_dim = find_multiple(hidden_dim, multiple_of)
 
 
-def repeat_kv(x: torch.Tensor, n_rep: int) -> torch.Tensor:
-    """torch.repeat_interleave(x, dim=2, repeats=n_rep)"""
-    bs, slen, n_kv_heads, head_dim = x.shape
-    if n_rep == 1:
-        return x
-    return (
-        x[:, :, :, None, :]
-        .expand(bs, slen, n_kv_heads, n_rep, head_dim)
-        .reshape(bs, slen, n_kv_heads * n_rep, head_dim)
-    )
-
-
 class KVCache(nn.Module):
     def __init__(
         self,
@@ -161,6 +156,9 @@ def __init__(
         else:
             cache_shape = (max_batch_size, max_seq_length, n_heads, head_dim)
 
+        self.max_batch_size = max_batch_size
+        self.n_heads = n_heads
+        self.head_dim = head_dim
         self.transpose_cache = transpose_cache
         self.enable_dynamic_shape = enable_dynamic_shape
         self.register_buffer(
@@ -222,9 +220,9 @@ def __init__(
     def forward(
         self,
         input_pos: torch.Tensor,
-        q: torch.Tensor,
-        k: torch.Tensor,
-        v: torch.Tensor,
+        q: torch.Tensor,  # Already have rotary embeddings. (bs, seqlen, n_local_heads, head_dim)
+        k: torch.Tensor,  # Already have rotary embeddings. (bs, seqlen, n_local_kv_heads, head_dim)
+        v: torch.Tensor,  # (bs, seqlen, n_local_kv_heads, head_dim)
         bsz,
         seqlen,
         mask: torch.Tensor,
@@ -451,7 +449,9 @@ def __init__(self, params: ModelArgs):
         self.norm = RMSNorm(params.dim, eps=params.norm_eps)
         self.output = nn.Linear(params.dim, params.vocab_size, bias=False)
         self.use_kv_cache = params.use_kv_cache
+        self.generate_full_logits = params.generate_full_logits
         self.max_seq_len = params.max_seq_len
+        self.output_prune_map = params.output_prune_map
         if params.use_hf_rope:
             self.precompute_freqs_cis = hf_precompute_freqs_cis
         else:
@@ -521,7 +521,34 @@ def forward(
                 input_pos,
             )
 
+        if not self.generate_full_logits:
+            # Only the last logit is used for the new generated token
+            h = h[:, -1, :]
+
         h = self.norm(h)
 
         logits = self.output(h)
+
+        if self.output_prune_map is not None:
+            # expand to original size so that downstream applications can use the logits as-is.
+            if self.generate_full_logits:
+                # (1, seq_len, pruned_size) -> (1, seq_len, original_size)
+                expanded_logits = torch.full(
+                    [logits.shape[0], logits.shape[1], self.vocab_size],
+                    float("-inf"),
+                    device=logits.device,
+                    dtype=logits.dtype,
+                )
+                expanded_logits[:, :, list(self.output_prune_map.values())] = logits
+            else:
+                # (1, pruned_size) -> (1, original_size)
+                expanded_logits = torch.full(
+                    [logits.shape[0], self.vocab_size],
+                    float("-inf"),
+                    device=logits.device,
+                    dtype=logits.dtype,
+                )
+                expanded_logits[:, list(self.output_prune_map.values())] = logits
+            logits = expanded_logits
+
         return logits
diff --git a/examples/models/llama2/llama_via_xnnpack.gif b/examples/models/llama2/llama_via_xnnpack.gif
new file mode 100644
index 0000000000..046011f5f8
Binary files /dev/null and b/examples/models/llama2/llama_via_xnnpack.gif differ
diff --git a/examples/models/llama2/main.cpp b/examples/models/llama2/main.cpp
index 10a355a603..c7ad96fac9 100644
--- a/examples/models/llama2/main.cpp
+++ b/examples/models/llama2/main.cpp
@@ -11,8 +11,8 @@
 #include <executorch/examples/models/llama2/runner/runner.h>
 
 #if defined(ET_USE_THREADPOOL)
-#include <executorch/backends/xnnpack/threadpool/cpuinfo_utils.h>
-#include <executorch/backends/xnnpack/threadpool/threadpool.h>
+#include <executorch/extension/threadpool/cpuinfo_utils.h>
+#include <executorch/extension/threadpool/threadpool.h>
 #endif
 
 DEFINE_string(
@@ -69,7 +69,7 @@ int32_t main(int32_t argc, char** argv) {
   }
 #endif
   // create llama runner
-  ::torch::executor::Runner runner(model_path, tokenizer_path, temperature);
+  example::Runner runner(model_path, tokenizer_path, temperature);
 
   // generate
   runner.generate(prompt, seq_len);
diff --git a/examples/models/llama2/model.py b/examples/models/llama2/model.py
index fdf0dc707e..21714a9c15 100644
--- a/examples/models/llama2/model.py
+++ b/examples/models/llama2/model.py
@@ -61,9 +61,12 @@ def __init__(self, **kwargs):
 
         self.use_kv_cache = kwargs.get("use_kv_cache", False)
         self.use_sdpa_with_kv_cache_op = kwargs.get("use_sdpa_with_kv_cache", False)
+        self.generate_full_logits = kwargs.get("generate_full_logits", False)
         self.enable_dynamic_shape = kwargs.get("enable_dynamic_shape", False)
+        self.output_prune_map_path = kwargs.get("output_prune_map_path", None)
 
         self.max_seq_len = kwargs.get("max_seq_len", 128)
+        self.args = kwargs.get("args", None)
         # The example is using a dummy small model with random weights for demo purpose only.
         # Follow the instruction in https://github.com/facebookresearch/llama to download the model
         device = "cpu"
@@ -125,7 +128,8 @@ def __init__(self, **kwargs):
         # get checkpoint dtype
         self.dtype = None
         if len(checkpoint) > 0:
-            first = checkpoint[next(iter(checkpoint))]
+            first_key = next(iter(checkpoint))
+            first = checkpoint[first_key]
             self.dtype = first.dtype
             mismatched_dtypes = [
                 (key, value.dtype)
@@ -134,10 +138,16 @@ def __init__(self, **kwargs):
             ]
             if len(mismatched_dtypes) > 0:
                 print(
-                    f"Mixed dtype model. Dtype of {first.key}: {first.dtype}. Mismatches in the checkpoint: {mismatched_dtypes}"
+                    f"Mixed dtype model. Dtype of {first_key}: {first.dtype}. Mismatches in the checkpoint: {mismatched_dtypes}"
                 )
         with open(params_path, "r") as f:
             params = json.loads(f.read())
+        output_prune_map = None
+        if self.output_prune_map_path is not None:
+            with open(self.output_prune_map_path, "r") as f:
+                output_prune_map = json.load(f)
+            # change keys from string to int (json only supports string keys)
+            output_prune_map = {int(k): v for (k, v) in output_prune_map.items()}
         max_seq_len = self.max_seq_len
         max_batch_size = 1
         model_args: ModelArgs = ModelArgs(
@@ -145,6 +155,8 @@ def __init__(self, **kwargs):
             max_batch_size=max_batch_size,
             use_kv_cache=self.use_kv_cache,
             use_sdpa_with_kv_cache_op=self.use_sdpa_with_kv_cache_op,
+            generate_full_logits=self.generate_full_logits,
+            output_prune_map=output_prune_map,
             enable_dynamic_shape=self.enable_dynamic_shape,
             **params,
         )
@@ -177,15 +189,60 @@ def __init__(self, **kwargs):
             self.model_ = Int8DynActInt4WeightQuantizer()._convert_for_runtime(
                 self.model_
             )
+        elif hasattr(self.args, "use_spin_quant") and self.args.use_spin_quant:
+            print("Using SPIN quantization.")
+            assert hasattr(self.args, "group_size"), "group_size must be specified"
+            assert hasattr(
+                self.args, "quantization_mode"
+            ), "quantization_mode must be specified"
+            assert hasattr(
+                self.args, "dtype_override"
+            ), "dtype_override must be specified"
+            from .source_transformation.spin_quant import (
+                sanitize_checkpoint_from_spinquant,
+                transform_for_spinquant,
+            )
+
+            mapping = {
+                "fp32": torch.float32,
+                "fp16": torch.float16,
+                "bf16": torch.bfloat16,
+            }
+
+            self.model_ = transform_for_spinquant(
+                self.model_,
+                checkpoint,
+                self.args.group_size,
+                self.args.quantization_mode,
+                mapping[self.args.dtype_override],
+            )
+
+            sanitize_checkpoint_from_spinquant(
+                checkpoint,
+                self.args.group_size,
+            )
 
         # assign=True: load params/buffers by assignment instead of performing an in-place copy.
         # Because we are using device="meta", tensors do not have memory associated with them
         # and an in-place copy is a no-op. Use assign=True in load_state_dict for this scenario.
-        self.model_.load_state_dict(
+        missing, unexpected = self.model_.load_state_dict(
             checkpoint,
             strict=False,
             assign=True,
         )  # self.model_ = Transformer(gptconf)
+        if kwargs.get("verbose", False):
+            print("============= missing keys ================")
+            print(missing)
+            print("============= /missing ================")
+            print("============= unexpected keys ================")
+            print(unexpected)
+            print("============= /unexpected ================")
+
+        # prune the output layer if output_prune_map is provided
+        if output_prune_map is not None:
+            from .source_transformation.prune_output import prune_output_vocab
+
+            self.model_ = prune_output_vocab(self.model_, output_prune_map)
 
     def get_eager_model(self):
         if self.dtype:
diff --git a/examples/models/llama2/runner/CMakeLists.txt b/examples/models/llama2/runner/CMakeLists.txt
index 2c9696f69e..79fcd267af 100644
--- a/examples/models/llama2/runner/CMakeLists.txt
+++ b/examples/models/llama2/runner/CMakeLists.txt
@@ -41,15 +41,13 @@ target_include_directories(
   extension_module INTERFACE ${_common_include_directories}
 )
 
-if(EXECUTORCH_USE_TIKTOKEN)
-  list(APPEND _llama_runner__srcs
-       ${CMAKE_CURRENT_SOURCE_DIR}/../../../../extension/llm/tokenizer/tiktoken.cpp
-  )
-  list(APPEND _llama_runner__srcs
-       ${CMAKE_CURRENT_SOURCE_DIR}/../tokenizer/llama_tiktoken.cpp
-  )
-  set(_preprocessor_flag -DET_USE_TIKTOKEN)
-endif()
+list(
+  APPEND _llama_runner__srcs
+  ${CMAKE_CURRENT_SOURCE_DIR}/../../../../extension/llm/tokenizer/tiktoken.cpp
+)
+list(APPEND _llama_runner__srcs
+     ${CMAKE_CURRENT_SOURCE_DIR}/../tokenizer/llama_tiktoken.cpp
+)
 
 if(CMAKE_TOOLCHAIN_IOS
    OR ANDROID
@@ -62,7 +60,24 @@ else()
   add_library(llama_runner SHARED ${_llama_runner__srcs})
 endif()
 
-set(llama_runner_deps executorch extension_module extension_data_loader)
+# find RE2 for tokenizer, build tiktoken
+set(ABSL_ENABLE_INSTALL ON)
+set(ABSL_PROPAGATE_CXX_STD ON)
+set(_pic_flag ${CMAKE_POSITION_INDEPENDENT_CODE})
+set(CMAKE_POSITION_INDEPENDENT_CODE ON)
+add_subdirectory(
+  ${EXECUTORCH_ROOT}/extension/llm/third-party/abseil-cpp
+  ${CMAKE_CURRENT_BINARY_DIR}/abseil-cpp
+)
+add_subdirectory(
+  ${EXECUTORCH_ROOT}/extension/llm/third-party/re2
+  ${CMAKE_CURRENT_BINARY_DIR}/re2
+)
+set(CMAKE_POSITION_INDEPENDENT_CODE ${_pic_flag})
+
+set(llama_runner_deps executorch extension_data_loader extension_module
+                      extension_tensor re2::re2
+)
 
 target_link_libraries(llama_runner PUBLIC ${llama_runner_deps})
 
diff --git a/examples/models/llama2/runner/eager.py b/examples/models/llama2/runner/eager.py
new file mode 100644
index 0000000000..d246a2df21
--- /dev/null
+++ b/examples/models/llama2/runner/eager.py
@@ -0,0 +1,115 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import argparse
+import json
+from typing import Optional
+
+import torch
+
+from examples.models.llama2.llama_transformer import ModelArgs
+from executorch.examples.models.model_factory import EagerModelFactory
+
+from .generation import LlamaRunner
+
+
+class EagerLlamaRunner(LlamaRunner):
+    """
+    Runs llama in eager mode with provided checkpoint file.
+    """
+
+    def __init__(self, args):
+        with open(args.params, "r") as f:
+            params = json.loads(f.read())
+        model_args: ModelArgs = ModelArgs(
+            max_seq_len=args.max_len,
+            max_batch_size=1,
+            use_kv_cache=True,
+            **params,
+        )
+        super().__init__(tokenizer_path=args.tokenizer, model_args=model_args)
+        self.model, _, _ = EagerModelFactory.create_model(
+            "llama2",
+            "Llama2Model",
+            checkpoint=args.checkpoint,
+            params=args.params,
+            use_kv_cache=True,
+            fairseq2=False,
+            max_seq_len=args.max_len,
+            enable_dynamic_shape=True,
+        )
+
+    def forward(
+        self,
+        tokens: Optional[torch.LongTensor] = None,
+        input_pos: Optional[torch.LongTensor] = None,
+    ) -> torch.Tensor:
+        return self.model.forward(tokens=tokens, input_pos=input_pos)
+
+
+def build_args_parser() -> argparse.ArgumentParser:
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "--checkpoint",
+        type=str,
+        default=None,
+        help="path to model checkpoint file",
+    )
+
+    parser.add_argument(
+        "--params",
+        type=str,
+        default=None,
+        help="model params file",
+    )
+
+    parser.add_argument(
+        "--max_len",
+        type=int,
+        default=128,
+        help="Maximum length of the generated response sequence.",
+    )
+
+    parser.add_argument(
+        "--tokenizer",
+        type=str,
+        default=None,
+    )
+
+    parser.add_argument(
+        "--prompt",
+        type=str,
+        default="Hello",
+    )
+
+    parser.add_argument(
+        "--temperature",
+        type=float,
+        default=0,
+    )
+
+    return parser
+
+
+def main() -> None:
+    parser = build_args_parser()
+    args = parser.parse_args()
+
+    runner = EagerLlamaRunner(args)
+    result = runner.text_completion(
+        prompt=args.prompt,
+        temperature=args.temperature,
+    )
+    print(
+        "Response: \n{response}\n Tokens:\n {tokens}".format(
+            response=result["generation"], tokens=result["tokens"]
+        )
+    )
+
+
+if __name__ == "__main__":
+    main()  # pragma: no cover
diff --git a/examples/models/llama2/runner/generation.py b/examples/models/llama2/runner/generation.py
index 56a15005ef..6d43c84932 100644
--- a/examples/models/llama2/runner/generation.py
+++ b/examples/models/llama2/runner/generation.py
@@ -4,34 +4,18 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
-
-import argparse
-
-import json
-from typing import List, Optional, Tuple, TypedDict
+from abc import ABC, abstractmethod
+from typing import List, Optional, TypedDict
 
 import torch
-import torch.nn.functional as F
-from executorch.examples.models.llama2.llama_transformer import ModelArgs
 
-from executorch.examples.models.llama2.tokenizer.tiktoken import (
-    Dialog,
-    Message,
-    Tokenizer,
-)
-from executorch.extension.pybindings.portable_lib import _load_for_executorch
+from executorch.examples.models.llama2.llama_transformer import ModelArgs
+from executorch.examples.models.llama2.tokenizer.tiktoken import Tokenizer
 
 
 class CompletionPrediction(TypedDict, total=False):
     generation: str
     tokens: List[str]  # not required
-    logprobs: List[float]  # not required
-
-
-class ChatPrediction(TypedDict, total=False):
-    generation: Message
-    tokens: List[str]  # not required
-    logprobs: List[float]  # not required
 
 
 def sample_top_p(probs, p):
@@ -47,7 +31,7 @@ def sample_top_p(probs, p):
 
     Note:
         Top-p sampling selects the smallest set of tokens whose cumulative probability mass
-        exceeds the threshold p. The distribution is renormalized based on the selected tokens.
+        exceeds the threshold p. The distribution is re-normalized based on the selected tokens.
     """
     probs_sort, probs_idx = torch.sort(probs, dim=-1, descending=True)
     probs_sum = torch.cumsum(probs_sort, dim=-1)
@@ -59,312 +43,92 @@ def sample_top_p(probs, p):
     return next_token
 
 
-class LlamaRunner:
-    def __init__(self, model_path: str, tokenizer_path: str, model_args: ModelArgs):
-        # model is a pte file.
-        self.model = _load_for_executorch(model_path)
+def next_token(logits: torch.Tensor, temperature: float, top_p: float) -> int:
+    if temperature > 0:
+        probs = torch.softmax(logits[:, -1] / temperature, dim=-1)
+        return sample_top_p(probs, top_p).item()
+    return torch.argmax(logits[:, -1], dim=-1).item()
+
+
+class LlamaRunner(ABC):
+    def __init__(self, tokenizer_path: str, model_args: ModelArgs):
         self.params = model_args
         self.tokenizer = Tokenizer(tokenizer_path)
         assert model_args.vocab_size == self.tokenizer.n_words
 
+    @abstractmethod
+    def forward(
+        self,
+        tokens: Optional[torch.LongTensor] = None,
+        input_pos: Optional[torch.LongTensor] = None,
+    ) -> torch.Tensor:
+        pass
+
     def generate(  # noqa: C901
         self,
-        prompt_tokens: List[List[int]],
-        max_gen_len: int,
+        prompt_tokens: List[int],
         temperature: float = 0.8,
         top_p: float = 0.9,
-        logprobs: bool = False,
         echo: bool = False,
-    ) -> Tuple[List[List[int]], Optional[List[List[float]]]]:
-        bsz = len(prompt_tokens)
-        params = self.params
-        assert bsz <= params.max_batch_size, (bsz, params.max_batch_size)
-
-        min_prompt_len = min(len(t) for t in prompt_tokens)
-        max_prompt_len = max(len(t) for t in prompt_tokens)
-
-        assert max_prompt_len <= params.max_seq_len
-        total_len = min(params.max_seq_len, max_gen_len + max_prompt_len)
-        pad_id = self.tokenizer.pad_id
-        tokens = torch.full((bsz, total_len), pad_id, dtype=torch.long, device="cpu")
-        for k, t in enumerate(prompt_tokens):
-            tokens[k, : len(t)] = torch.tensor(t, dtype=torch.long, device="cpu")
-        if logprobs:
-            token_logprobs = torch.zeros_like(tokens, dtype=torch.float)
-
-        prev_pos = 0
-        if self.params.use_kv_cache:
-            min_prompt_len = 1
-
-        eos_reached = torch.tensor([False] * bsz, device="cpu")
-        input_text_mask = tokens != pad_id
-        pos = torch.tensor([prev_pos], dtype=torch.int64)
-        if min_prompt_len == total_len:
-            if self.params.use_kv_cache:
-                inputs = (tokens, pos)
-            else:
-                inputs = (tokens,)
-            logits = self.model.forward(inputs)  # updated forward call.
-            logits = logits[0]
-            token_logprobs = -F.cross_entropy(
-                input=logits.transpose(1, 2),
-                target=tokens,
-                reduction="none",
-                ignore_index=pad_id,
-            )
+    ) -> List[int]:
+        # prefill
+        logits = self.forward(
+            tokens=torch.tensor([prompt_tokens], dtype=torch.long),
+            input_pos=(
+                torch.tensor([0], dtype=torch.long)
+                if self.params.use_kv_cache
+                else None
+            ),
+        )
 
-        stop_tokens = torch.tensor(list(self.tokenizer.stop_tokens))
+        current_token = next_token(logits, temperature, top_p)
+        tokens = prompt_tokens + [current_token]
 
-        for cur_pos in range(min_prompt_len, total_len):
-            pos = torch.tensor([prev_pos], dtype=torch.int64)
+        while len(tokens) < self.params.max_seq_len:
             if self.params.use_kv_cache:
-                inputs = (tokens[:, prev_pos:cur_pos], pos)
-            else:
-                inputs = (tokens[:, :cur_pos],)
-            logits = self.model.forward(inputs)  # updated forward call.
-            logits = logits[0]
-            if temperature > 0:
-                probs = torch.softmax(logits[:, -1] / temperature, dim=-1)
-                next_token = sample_top_p(probs, top_p)
-            else:
-                next_token = torch.argmax(logits[:, -1], dim=-1)
-
-            next_token = next_token.reshape(-1)
-
-            # only replace token if prompt has already been generated
-            if not self.params.use_kv_cache or cur_pos < len(prompt_tokens[0]):
-                next_token = torch.where(
-                    input_text_mask[:, cur_pos], tokens[:, cur_pos], next_token
-                )
-
-            tokens[:, cur_pos] = next_token
-            if logprobs:
-                token_logprobs[:, prev_pos + 1 : cur_pos + 1] = -F.cross_entropy(
-                    input=logits.transpose(1, 2),
-                    target=tokens[:, prev_pos + 1 : cur_pos + 1],
-                    reduction="none",
-                    ignore_index=pad_id,
+                logits = self.forward(
+                    tokens=torch.tensor([[current_token]], dtype=torch.long),
+                    input_pos=torch.tensor([len(tokens) - 1], dtype=torch.long),
                 )
-            eos_reached |= (~input_text_mask[:, cur_pos]) & (
-                torch.isin(next_token, stop_tokens)
-            )
-            prev_pos = cur_pos
-            if all(eos_reached):
+            else:
+                logits = self.forward(tokens=torch.tensor([tokens], dtype=torch.long))
+            current_token = next_token(logits, temperature, top_p)
+            if current_token in self.tokenizer.stop_tokens:
                 break
+            tokens.append(current_token)
 
-        if logprobs:
-            token_logprobs = token_logprobs.tolist()
-        out_tokens, out_logprobs = [], []
-        for i, toks in enumerate(tokens.tolist()):
-            # cut to max gen len
-            start = 0 if echo else len(prompt_tokens[i])
-            toks = toks[start : len(prompt_tokens[i]) + max_gen_len]
-            probs = None
-            if logprobs:
-                probs = token_logprobs[i][start : len(prompt_tokens[i]) + max_gen_len]
-            # cut to after eos tok if any
-            for stop_token in self.tokenizer.stop_tokens:
-                try:
-                    eos_idx = toks.index(stop_token)
-                    toks = toks[:eos_idx]
-                    probs = probs[:eos_idx] if logprobs else None
-                except ValueError:
-                    pass
-            out_tokens.append(toks)
-            out_logprobs.append(probs)
-        return (out_tokens, out_logprobs if logprobs else None)
+        return tokens if echo else tokens[len(prompt_tokens) :]
 
     def text_completion(
         self,
-        prompts: List[str],
+        prompt: str,
         temperature: float = 0.6,
         top_p: float = 0.9,
-        max_gen_len: Optional[int] = None,
-        logprobs: bool = False,
         echo: bool = False,
-    ) -> List[CompletionPrediction]:
+    ) -> CompletionPrediction:
         """
-        Perform text completion for a list of prompts using the language generation model.
+        Perform text completion for a prompt using the language model.
 
         Args:
-            prompts (List[str]): List of text prompts for completion.
+            prompt (str): Text prompt for completion.
             temperature (float, optional): Temperature value for controlling randomness in sampling. Defaults to 0.6.
             top_p (float, optional): Top-p probability threshold for nucleus sampling. Defaults to 0.9.
-            max_gen_len (Optional[int], optional): Maximum length of the generated completion sequence.
-                If not provided, it's set to the model's maximum sequence length minus 1.
-            logprobs (bool, optional): Flag indicating whether to compute token log probabilities. Defaults to False.
             echo (bool, optional): Flag indicating whether to include prompt tokens in the generated output. Defaults to False.
 
         Returns:
-            List[CompletionPrediction]: List of completion predictions, each containing the generated text completion.
+            CompletionPrediction: Completion prediction, which contains the generated text completion.
 
         Note:
-            This method generates text completions for the provided prompts, employing nucleus sampling to introduce controlled randomness.
-            If logprobs is True, token log probabilities are computed for each generated token.
+            This method generates text completion for the provided prompt, employing nucleus sampling to introduce controlled randomness.
         """
-        if max_gen_len is None:
-            max_gen_len = self.model.params.max_seq_len - 1
-        prompt_tokens = [self.tokenizer.encode(x, bos=True, eos=False) for x in prompts]
-        generation_tokens, generation_logprobs = self.generate(
+        prompt_tokens = self.tokenizer.encode(prompt, bos=True, eos=False)
+        generation_tokens = self.generate(
             prompt_tokens=prompt_tokens,
-            max_gen_len=max_gen_len,
             temperature=temperature,
             top_p=top_p,
-            logprobs=logprobs,
             echo=echo,
         )
-
-        if logprobs:
-            return [
-                {
-                    "generation": self.tokenizer.decode(t),
-                    "tokens": [self.tokenizer.decode([x]) for x in t],
-                    "logprobs": logprobs_i,
-                }
-                for t, logprobs_i in zip(generation_tokens, generation_logprobs)
-            ]
-        return [{"generation": self.tokenizer.decode(t)} for t in generation_tokens]
-
-    def chat_completion(
-        self,
-        dialogs: List[Dialog],
-        temperature: float = 0.6,
-        top_p: float = 0.9,
-        max_gen_len: Optional[int] = None,
-        logprobs: bool = False,
-    ) -> List[ChatPrediction]:
-        """
-        Generate assistant responses for a list of conversational dialogs using the language generation model.
-
-        Args:
-            dialogs (List[Dialog]): List of conversational dialogs, where each dialog is a list of messages.
-            temperature (float, optional): Temperature value for controlling randomness in sampling. Defaults to 0.6.
-            top_p (float, optional): Top-p probability threshold for nucleus sampling. Defaults to 0.9.
-            max_gen_len (Optional[int], optional): Maximum length of the generated response sequence.
-                If not provided, it's set to the model's maximum sequence length minus 1.
-            logprobs (bool, optional): Flag indicating whether to compute token log probabilities. Defaults to False.
-
-        Returns:
-            List[ChatPrediction]: List of chat predictions, each containing the assistant's generated response.
-
-        Raises:
-            AssertionError: If the last message in a dialog is not from the user.
-            AssertionError: If the dialog roles are not in the required 'user', 'assistant', and optional 'system' order.
-
-        Note:
-            This method generates assistant responses for the provided conversational dialogs.
-            It employs nucleus sampling to introduce controlled randomness in text generation.
-            If logprobs is True, token log probabilities are computed for each generated token.
-        """
-        if max_gen_len is None:
-            max_gen_len = self.model.params.max_seq_len - 1
-
-        prompt_tokens = [
-            self.formatter.encode_dialog_prompt(dialog) for dialog in dialogs
-        ]
-        generation_tokens, generation_logprobs = self.generate(
-            prompt_tokens=prompt_tokens,
-            max_gen_len=max_gen_len,
-            temperature=temperature,
-            top_p=top_p,
-            logprobs=logprobs,
-        )
-        if logprobs:
-            return [
-                {
-                    "generation": {
-                        "role": "assistant",
-                        "content": self.tokenizer.decode(t),
-                    },
-                    "tokens": [self.tokenizer.decode([x]) for x in t],
-                    "logprobs": logprobs_i,
-                }
-                for t, logprobs_i in zip(generation_tokens, generation_logprobs)
-            ]
-        return [
-            {
-                "generation": {
-                    "role": "assistant",
-                    "content": self.tokenizer.decode(t),
-                },
-            }
-            for t in generation_tokens
-        ]
-
-
-def build_args_parser() -> argparse.ArgumentParser:
-    parser = argparse.ArgumentParser()
-
-    parser.add_argument(
-        "-f",
-        "--pte",
-        type=str,
-        default=None,
-        help="path to exported executorch .pte file",
-    )
-
-    parser.add_argument(
-        "-p", "--params", type=str, default=None, help="model params file"
-    )
-
-    parser.add_argument(
-        "-t",
-        "--tokenizer",
-        type=str,
-        default=None,
-    )
-
-    parser.add_argument(
-        "--prompt",
-        type=str,
-        default="Hello",
-    )
-
-    parser.add_argument(
-        "--temperature",
-        type=float,
-        default=0.6,
-    )
-
-    parser.add_argument(
-        "-kv",
-        "--kv_cache",
-        default=False,
-        action="store_true",
-    )
-
-    parser.add_argument(
-        "--max_gen_len",
-        type=int,
-        default=10,
-        help="Maximum length of the generated response sequence.",
-    )
-
-    return parser
-
-
-def main() -> None:
-    parser = build_args_parser()
-    args = parser.parse_args()
-
-    with open(args.params, "r") as f:
-        params = json.loads(f.read())
-    model_args: ModelArgs = ModelArgs(
-        max_seq_len=128,
-        max_batch_size=1,
-        use_kv_cache=args.kv_cache,
-        **params,
-    )
-    runner = LlamaRunner(
-        model_path=args.pte, tokenizer_path=args.tokenizer, model_args=model_args
-    )
-    result = runner.text_completion(
-        prompts=[args.prompt],
-        max_gen_len=args.max_gen_len,
-        temperature=args.temperature,
-    )
-    print(f"Result: {result}")
-
-
-if __name__ == "__main__":
-    main()  # pragma: no cover
+        return {
+            "generation": self.tokenizer.decode(generation_tokens),
+            "tokens": generation_tokens,
+        }
diff --git a/examples/models/llama2/runner/native.py b/examples/models/llama2/runner/native.py
new file mode 100644
index 0000000000..b0d6c20e96
--- /dev/null
+++ b/examples/models/llama2/runner/native.py
@@ -0,0 +1,122 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import argparse
+import json
+from typing import Optional
+
+import torch
+
+from examples.models.llama2.llama_transformer import ModelArgs
+from executorch.extension.pybindings.portable_lib import _load_for_executorch
+
+# Load custom ops and quantized ops.
+from executorch.extension.pybindings import portable_lib  # noqa # usort: skip
+
+# Note: import this after portable_lib
+from executorch.extension.llm.custom_ops import sdpa_with_kv_cache  # noqa # usort: skip
+from executorch.kernels import quantized  # noqa
+
+from .generation import LlamaRunner
+
+
+class NativeLlamaRunner(LlamaRunner):
+    """
+    Runs llama via ExecuTorch with provided pte file.
+    """
+
+    def __init__(self, args):
+        with open(args.params, "r") as f:
+            params = json.loads(f.read())
+        model_args: ModelArgs = ModelArgs(
+            max_seq_len=args.max_len,
+            max_batch_size=1,
+            use_kv_cache=args.kv_cache,
+            **params,
+        )
+        super().__init__(tokenizer_path=args.tokenizer, model_args=model_args)
+        self.model = _load_for_executorch(args.pte)
+
+    def forward(
+        self,
+        tokens: Optional[torch.LongTensor] = None,
+        input_pos: Optional[torch.LongTensor] = None,
+    ) -> torch.Tensor:
+        return (
+            self.model.forward((tokens, input_pos))
+            if input_pos is not None
+            else self.model.forward((tokens,))
+        )[0]
+
+
+def build_args_parser() -> argparse.ArgumentParser:
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "-f",
+        "--pte",
+        type=str,
+        default=None,
+        help="path to exported executorch .pte file",
+    )
+
+    parser.add_argument(
+        "-p", "--params", type=str, default=None, help="model params file"
+    )
+
+    parser.add_argument(
+        "-t",
+        "--tokenizer",
+        type=str,
+        default=None,
+    )
+
+    parser.add_argument(
+        "--prompt",
+        type=str,
+        default="Hello",
+    )
+
+    parser.add_argument(
+        "--temperature",
+        type=float,
+        default=0.6,
+    )
+
+    parser.add_argument(
+        "-kv",
+        "--kv_cache",
+        default=True,
+        action="store_true",
+    )
+
+    parser.add_argument(
+        "--max_len",
+        type=int,
+        default=128,
+        help="Maximum length of the generated response sequence.",
+    )
+
+    return parser
+
+
+def main() -> None:
+    parser = build_args_parser()
+    args = parser.parse_args()
+    runner = NativeLlamaRunner(args)
+    result = runner.text_completion(
+        prompt=args.prompt,
+        temperature=args.temperature,
+    )
+    print(
+        "Response: \n{response}\n Tokens:\n {tokens}".format(
+            response=result["generation"], tokens=result["tokens"]
+        )
+    )
+
+
+if __name__ == "__main__":
+    main()  # pragma: no cover
diff --git a/examples/models/llama2/runner/runner.cpp b/examples/models/llama2/runner/runner.cpp
index b624e6eb43..764f4f7f68 100644
--- a/examples/models/llama2/runner/runner.cpp
+++ b/examples/models/llama2/runner/runner.cpp
@@ -10,32 +10,33 @@
 // The module takes in a string as input and emits a string as output.
 
 #include <executorch/examples/models/llama2/runner/runner.h>
-#if ET_USE_TIKTOKEN
+
+#include <ctime>
+
+#include <executorch/extension/llm/runner/util.h>
+
 #include <executorch/examples/models/llama2/tokenizer/llama_tiktoken.h>
-#else /* BPE */
 #include <executorch/extension/llm/tokenizer/bpe_tokenizer.h>
-#endif /* ET_USE_TIKTOKEN*/
-#include <executorch/extension/evalue_util/print_evalue.h>
-#include <executorch/extension/runner_util/managed_tensor.h>
 
-#include <ctime>
-#include <memory>
-#include <sstream>
+namespace example {
 
-#ifdef USE_ATEN_LIB
-#include <torch/torch.h>
-#endif
+using ::executorch::extension::Module;
+using ::executorch::runtime::Error;
+using ::executorch::runtime::Result;
 
-#include <executorch/examples/models/llama2/runner/util.h>
-#include <executorch/runtime/core/exec_aten/exec_aten.h>
-#include <executorch/runtime/core/exec_aten/util/scalar_type_util.h>
-#include <executorch/runtime/platform/log.h>
+namespace llm = ::executorch::extension::llm;
 
-namespace torch::executor {
 namespace {
-static constexpr auto kTopp = 0.9f;
-void printReport(const Runner::Stats& stats);
-std::string statsToJsonString(const Runner::Stats& stats);
+static constexpr auto kAppendEosToPrompt = "append_eos_to_prompt";
+static constexpr auto kEnableDynamicShape = "enable_dynamic_shape";
+static constexpr auto kBosId = "get_bos_id";
+static constexpr auto kEosIds = "get_eos_ids";
+static constexpr auto kMaxSeqLen = "get_max_seq_len";
+static constexpr auto kNBos = "get_n_bos";
+static constexpr auto kNEos = "get_n_eos";
+static constexpr auto kVocabSize = "get_vocab_size";
+static constexpr auto kUseKVCache = "use_kv_cache";
+static constexpr auto kUseSDPAWithKVCache = "use_sdpa_with_kv_cache";
 } // namespace
 
 Runner::Runner(
@@ -45,9 +46,18 @@ Runner::Runner(
     // NOTE: we observed ~2x loading performance increase on iPhone 15
     // and a ~5% improvement on Galaxy S22 by switching to
     // FileDataLoader instead of MmapDataLoader + UseMlockIgnoreErrors.
-    : module_(std::make_unique<Module>(model_path, Module::LoadMode::File)),
+    : temperature_(temperature),
+      module_(std::make_unique<Module>(model_path, Module::LoadMode::File)),
       tokenizer_path_(tokenizer_path),
-      temperature_(temperature) {
+      metadata_({
+          {kAppendEosToPrompt, false},
+          {kEnableDynamicShape, false},
+          {kMaxSeqLen, 128},
+          {kNBos, 1},
+          {kNEos, 1},
+          {kUseKVCache, true},
+          {kUseSDPAWithKVCache, false},
+      }) {
   ET_LOG(
       Info,
       "Creating LLaMa runner: model_path=%s, tokenizer_path=%s",
@@ -56,7 +66,8 @@ Runner::Runner(
 }
 
 bool Runner::is_loaded() const {
-  return module_->is_loaded() && tokenizer_ && sampler_;
+  return module_->is_loaded() && tokenizer_ && text_decoder_runner_ &&
+      text_prefiller_ && text_token_generator_;
 }
 
 Error Runner::load() {
@@ -64,294 +75,121 @@ Error Runner::load() {
     return Error::Ok;
   }
   ET_CHECK_OK_OR_RETURN_ERROR(module_->load_method("forward"));
-
-  // Read out metadata: vocab_size (expected by the model), BOS, EOS, n_BOS,
-  // n_EOS max_seq_len from the model
-  ET_LOG(Info, "Reading metadata from model");
-  const auto method_names = module_->method_names();
-  ET_CHECK_MSG(method_names.ok(), "Failed to read method names from model");
-  model_methods_ = method_names.get();
-  n_bos_ = getMetadataHelper<int64_t>("get_n_bos", 1);
-  n_eos_ = getMetadataHelper<int64_t>("get_n_eos", 1);
-  max_seq_len_ = getMetadataHelper<int64_t>("get_max_seq_len", 128);
-  use_kv_cache_ = getMetadataHelper("use_kv_cache", true);
-  use_sdpa_with_kv_cache_ = getMetadataHelper("use_sdpa_with_kv_cache", false);
-  append_eos_ = getMetadataHelper("append_eos_to_prompt", false);
-  enable_parallel_prefill_ = getMetadataHelper("enable_dynamic_shape", false);
-
-  // Load tokenizer
-#if ET_USE_TIKTOKEN
+  // load tokenizer. Assuming tiktoken is the default tokenizer
+  tokenizer_ = nullptr;
   tokenizer_ = get_tiktoken_for_llama();
-#else
-  tokenizer_ = std::make_unique<BPETokenizer>();
-#endif
-  tokenizer_->load(tokenizer_path_);
-
-  vocab_size_ =
-      getMetadataHelper<int64_t>("get_vocab_size", tokenizer_->vocab_size());
-  bos_id_ = getMetadataHelper<int64_t>("get_bos_id", tokenizer_->bos_tok());
-  eos_id_ = getMetadataHelper<int64_t>("get_eos_id", tokenizer_->eos_tok());
-
-  // Create sampler
-  sampler_ = std::make_unique<Sampler>(
-      vocab_size_,
-      temperature_,
-      kTopp,
-      static_cast<unsigned long long>(std::time(nullptr)));
-
-  return Error::Ok;
-}
-
-template <typename T>
-T Runner::getMetadataHelper(const std::string& method_name, T default_val) {
-  T res = default_val;
-  if (model_methods_.count(method_name)) {
-    Result<std::vector<EValue>> outputs = module_->execute(method_name);
-    if (outputs.ok()) {
-      std::vector<EValue> outs = outputs.get();
-      if (outs.size() > 0) {
-        res = outs[0].to<T>();
-      }
-    }
-  } else {
+  Error err = tokenizer_->load(tokenizer_path_);
+  // Rely on tiktoken to throw error if the artifact is incompatible. Then we
+  // fallback to BPE tokenizer.
+  if (err == Error::InvalidArgument) {
     ET_LOG(
         Info,
-        "The model does not contain %s method, using default value %lld",
-        method_name.c_str(),
-        (long long)default_val);
+        "Failed to load %s as a Tiktoken artifact, trying BPE tokenizer",
+        tokenizer_path_.c_str());
+    tokenizer_.reset();
+    tokenizer_ = std::make_unique<llm::BPETokenizer>();
+    tokenizer_->load(tokenizer_path_);
   }
-  ET_LOG(Info, "%s: %lld", method_name.c_str(), (long long)res);
-  return res;
-}
 
-int32_t Runner::logitsToToken(const exec_aten::Tensor& logits_tensor) {
-  ET_CHECK_MSG(logits_tensor.dim() == 3, "Logits tensor must be 3D");
-  auto num_tokens = logits_tensor.size(1);
+  ET_LOG(Info, "Reading metadata from model");
 
-  switch (logits_tensor.scalar_type()) {
-    case ScalarType::Float: {
-      float* logits = logits_tensor.mutable_data_ptr<float>();
-      float* logits_last = logits;
-      logits_last += (num_tokens - 1) * tokenizer_->vocab_size();
-      return sampler_->sample(logits_last);
-    }
-    case ScalarType::Half: {
-      exec_aten::Half* logits =
-          logits_tensor.mutable_data_ptr<exec_aten::Half>();
-      exec_aten::Half* logits_last = logits;
-      logits_last += (num_tokens - 1) * tokenizer_->vocab_size();
-      return sampler_->sample(logits_last);
+  metadata_[kBosId] = tokenizer_->bos_tok();
+  auto eos_ids = std::make_unique<std::unordered_set<uint64_t>>(
+      std::unordered_set<uint64_t>{tokenizer_->eos_tok()});
+  metadata_[kVocabSize] = tokenizer_->vocab_size();
+
+  const auto method_names =
+      ET_UNWRAP(module_->method_names(), "Failed reading method names");
+
+  for (auto& pair : metadata_) {
+    const auto& method_name = pair.first;
+    auto& value = pair.second;
+
+    if (method_names.count(method_name)) {
+      value = ET_UNWRAP(module_->get(method_name))
+                  .toScalar()
+                  .to<decltype(metadata_)::mapped_type>();
+    } else {
+      ET_LOG(
+          Info,
+          "Methond %s not found, using the default value %" PRId64,
+          method_name.c_str(),
+          value);
     }
-    default:
-      ET_CHECK_MSG(
-          false,
-          "Unsupported dtype output %hhd",
-          static_cast<int8_t>(logits_tensor.scalar_type()));
+    ET_LOG(Info, "Metadata: %s = %" PRId64, method_name.c_str(), value);
   }
-}
-
-Result<torch::executor::Tensor> Runner::prefill(
-    const std::vector<uint64_t>& tokens,
-    ManagedTensor& managed_tokens,
-    ManagedTensor& managed_start_pos,
-    std::function<void(const std::string&)> token_callback) {
-  // enable_parallel_prefill_ maybe set even when not using kv cache
-  // When kv cache is not used, start pos is ignored
-  int32_t num_tokens = tokens.size();
-  if (enable_parallel_prefill_) {
-    managed_tokens.resize({1, num_tokens});
-    int64_t* tokens_ptr =
-        managed_tokens.get_aliasing_tensor().mutable_data_ptr<int64_t>();
-    for (int i = 0; i < num_tokens; i++) {
-      // The following assumes batch size = 1
-      tokens_ptr[i] = tokens[i];
-    }
-    std::vector<EValue> inputs;
-    auto tokens_tensor = managed_tokens.get_aliasing_tensor();
-    auto start_pos = managed_start_pos.get_aliasing_tensor();
-
-    // inputs:[tokens, start_pos]
-    inputs.push_back(tokens_tensor);
-    inputs.push_back(start_pos);
-
-    Result<std::vector<EValue>> outputs_res = module_->forward(inputs);
-    ET_CHECK_OK_OR_RETURN_ERROR(outputs_res.error());
-    ET_CHECK_MSG(
-        outputs_res.get()[0].isTensor(),
-        "Non Tensor Output returned from executing LLM");
-    ET_CHECK_MSG(
-        outputs_res.get()[0].toTensor().size(1) == num_tokens,
-        "Expected number of output tokens %d does not match returned value %zu.",
-        num_tokens,
-        outputs_res.get()[0].toTensor().size(1));
-
-    start_pos.mutable_data_ptr<int64_t>()[0] = num_tokens;
-
-    uint64_t prev = tokens[0];
-    uint64_t cur;
-    for (int i = 1; i < num_tokens; i++) {
-      cur = tokens[i];
-      auto piece_res = tokenizer_->decode(prev, cur);
-      ET_CHECK_OK_OR_RETURN_ERROR(piece_res.error());
-      util::safe_printf(piece_res.get().c_str());
-      fflush(stdout);
-      prev = cur;
-      if (token_callback) {
-        token_callback(piece_res.get().c_str());
-      }
-    }
-    cur = logitsToToken(outputs_res.get()[0].toTensor());
-    auto piece_res = tokenizer_->decode(prev, cur);
-    ET_CHECK(piece_res.ok());
-    const char* piece = piece_res.get().c_str();
-    util::safe_printf(piece);
-    fflush(stdout);
-    if (token_callback) {
-      token_callback(piece_res.get().c_str());
-    }
-
-    // Return the logits tensor
-    stats_.first_token_ms = util::time_in_ms();
-    stats_.prompt_eval_end_ms = util::time_in_ms();
-    return outputs_res.get()[0].toTensor();
-  } else { // sequential prefill
-    int64_t pos = 0; // position in the sequence
-    int64_t cur_token = tokens[0];
-    int64_t prev_token;
-    // This is a hack to enable returning a logits tensor from prefill
-    auto logits_tensor = managed_tokens.get_aliasing_tensor();
-    while (pos < num_tokens) {
-      // Run the model
-      Result<torch::executor::Tensor> logits_res = run_model_step(
-          cur_token, managed_tokens, managed_start_pos, num_tokens);
-
-      ET_CHECK_OK_OR_RETURN_ERROR(logits_res.error());
-      logits_tensor = logits_res.get();
-      // Hack to enable returning a logits tensor from prefill
-
-      prev_token = cur_token;
-
-      long sample_start_time_ms = util::time_in_ms();
-      cur_token = logitsToToken(logits_tensor);
-      stats_.aggregate_sampling_time_ms +=
-          util::time_in_ms() - sample_start_time_ms;
-
-      // advance the state machine
-      if (pos < num_tokens - 1) {
-        // prefill, force the next token to be the next prompt token
-        cur_token = tokens[pos + 1];
-      }
-      pos++;
-
-      // print the token as string, decode it with the Tokenizer object
-      auto piece_res = tokenizer_->decode(prev_token, cur_token);
-      ET_CHECK(piece_res.ok());
-      const char* piece = piece_res.get().c_str();
-      util::safe_printf(piece);
-      fflush(stdout);
-      if (token_callback) {
-        token_callback(piece_res.get().c_str());
-      }
+  if (method_names.count(kEosIds)) {
+    eos_ids->clear();
+    for (const auto& eos_id : ET_UNWRAP(module_->execute(kEosIds))) {
+      auto value = eos_id.toScalar().to<int64_t>();
+      eos_ids->emplace(value);
+      ET_LOG(Info, "eos_id = %" PRId64, value);
     }
-    auto start_pos = managed_start_pos.get_aliasing_tensor();
-    start_pos.mutable_data_ptr<int64_t>()[0] = num_tokens;
-    stats_.first_token_ms = util::time_in_ms();
-    stats_.prompt_eval_end_ms = util::time_in_ms();
-    return logits_tensor;
   }
-}
-
-// Given an input token. Set up the inputs for the model and execute a single
-// step. Returning the logits tensor.
-Result<torch::executor::Tensor> Runner::run_model_step(
-    int64_t input_token,
-    ManagedTensor& managed_tokens,
-    ManagedTensor& managed_start_pos,
-    size_t max_seq_len) {
-  // ET_LOG(Info, "Input token %" PRIu64, input_token);
-  if (use_kv_cache_) {
-    auto tokens = managed_tokens.get_aliasing_tensor();
-    auto start_pos = managed_start_pos.get_aliasing_tensor();
-
-    // When using kv-cache our input is always 1 token, so just update to the
-    // latest.
-    tokens.mutable_data_ptr<int64_t>()[0] = input_token;
-
-    Result<std::vector<EValue>> outputs_res =
-        module_->forward({tokens, start_pos});
-    ET_CHECK_OK_OR_RETURN_ERROR(outputs_res.error());
-    ET_CHECK_MSG(
-        outputs_res.get().size() == 1,
-        "More then one output returned from executing LLM.");
-    ET_CHECK_MSG(
-        outputs_res.get()[0].isTensor(),
-        "Non Tensor Output returned from executing LLM");
-
-    // Bump start_pos by 1
-    start_pos.mutable_data_ptr<int64_t>()[0]++;
-
-    // Return the logits tensor
-    return outputs_res.get()[0].toTensor();
-  } else { // no kv cache
-    std::vector<EValue> inputs;
-    auto tokens = managed_tokens.get_aliasing_tensor();
-    (void)managed_start_pos; // unused
-
-    // When not using kv-cache our input is the entire history of tokens we have
-    // seen, so resize input to be 1 larger and append the new token to the end.
-    // TODO does this work in ATen mode?
-    tokens.mutable_data_ptr<int64_t>()[tokens.size(1) - 1] = input_token;
-
-    // inputs:[tokens]
-    inputs.push_back(tokens);
-
-    Result<std::vector<EValue>> outputs_res = module_->forward(inputs);
-    ET_CHECK_OK_OR_RETURN_ERROR(outputs_res.error());
-    ET_CHECK_MSG(
-        outputs_res.get().size() == 1,
-        "More then one output returned from executing LLM.");
-    ET_CHECK_MSG(
-        outputs_res.get()[0].isTensor(),
-        "Non Tensor Output returned from executing LLM");
-
-    if (tokens.size(1) < max_seq_len) {
-      // Resize the tokens tensor to be 1 larger for next step.
-      // Note that this relies on the fact that underlying memory is the same
-      // such that previous tokens stored there will still exist.
-      // Not a good thing to rely upon.
-      managed_tokens.resize({1, static_cast<int>(tokens.size(1) + 1)});
-    }
+  text_decoder_runner_ = std::make_unique<llm::TextDecoderRunner>(
+      module_.get(),
+      metadata_.at(kUseKVCache),
+      metadata_.at(kVocabSize),
+      temperature_);
+  text_prefiller_ = std::make_unique<llm::TextPrefiller>(
+      text_decoder_runner_.get(),
+      metadata_.at(kUseKVCache),
+      metadata_.at(kEnableDynamicShape));
+
+  text_token_generator_ = std::make_unique<llm::TextTokenGenerator>(
+      tokenizer_.get(),
+      text_decoder_runner_.get(),
+      metadata_.at(kUseKVCache),
+      std::move(eos_ids),
+      &stats_);
 
-    // Return the logits tensor
-    return outputs_res.get()[0].toTensor();
-  }
+  return Error::Ok;
 }
 
 Error Runner::generate(
     const std::string& prompt,
     int32_t seq_len,
     std::function<void(const std::string&)> token_callback,
-    std::function<void(const Stats&)> stats_callback) {
+    std::function<void(const llm::Stats&)> stats_callback,
+    bool echo) {
   // Prepare the inputs.
   // Use ones-initialized inputs.
   ET_CHECK_MSG(!prompt.empty(), "Prompt cannot be null");
   if (!is_loaded()) {
-    stats_.model_load_start_ms = util::time_in_ms();
+    stats_.model_load_start_ms = llm::time_in_ms();
     ET_CHECK_OK_OR_RETURN_ERROR(load());
-    stats_.model_load_end_ms = util::time_in_ms();
+    stats_.model_load_end_ms = llm::time_in_ms();
   }
 
+  ET_LOG(
+      Info,
+      "RSS after loading model: %f MiB (0 if unsupported)",
+      llm::get_rss_bytes() / 1024.0 / 1024.0);
+
+  // Wrap the token_callback with print function
+  std::function<void(const std::string&)> wrapped_callback =
+      [token_callback](const std::string& piece) {
+        llm::safe_printf(piece.c_str());
+        fflush(stdout);
+        if (token_callback) {
+          token_callback(piece);
+        }
+      };
   // First token time only measures the time it takes to encode the prompt and
   // return a response token.
 
-  stats_.inference_start_ms = util::time_in_ms();
+  stats_.inference_start_ms = llm::time_in_ms();
   shouldStop_ = false;
 
   // Set the sequence length to the max seq length if not provided
-  seq_len = (seq_len > 0 && seq_len <= max_seq_len_) ? seq_len : max_seq_len_;
+  seq_len = (seq_len > 0 && seq_len <= metadata_.at(kMaxSeqLen))
+      ? seq_len
+      : metadata_.at(kMaxSeqLen);
 
-  Result<std::vector<uint64_t>> encode_res =
-      tokenizer_->encode(prompt, n_bos_, append_eos_ ? n_eos_ : 0);
+  Result<std::vector<uint64_t>> encode_res = tokenizer_->encode(
+      prompt,
+      metadata_.at(kNBos),
+      metadata_.at(kAppendEosToPrompt) ? metadata_.at(kNEos) : 0);
 
   ET_CHECK_OK_OR_RETURN_ERROR(
       encode_res.error(), "Failed to encode prompt %s", prompt.c_str());
@@ -362,124 +200,58 @@ Error Runner::generate(
 
   ET_CHECK_MSG(num_prompt_tokens >= 1, "Expected at least 1 prompt token");
   ET_CHECK_MSG(
-      num_prompt_tokens < max_seq_len_,
-      "Max seq length exceeded - please increase max seq len value in .../llama2/model.py");
-
+      num_prompt_tokens < metadata_.at(kMaxSeqLen),
+      "num_prompt_tokens %d >= max_seq_len_ %" PRId64
+      ", Max seq length exceeded - please increase max seq len value in .../llama2/model.py",
+      num_prompt_tokens,
+      metadata_.at(kMaxSeqLen));
   ET_CHECK_MSG(
       num_prompt_tokens < seq_len,
-      "Sequence length exceeded - please increase the seq_len value passed to generate()");
-
-  // start the main loop
-  int64_t pos = 0; // position in the sequence
-
-  std::vector<int64_t> token_data; // allocate space for the tokens
-  std::vector<exec_aten::SizesType> token_shape = {1, seq_len};
-
-  std::vector<int64_t> start_pos_data; // allocate space for the tokens
-  std::vector<exec_aten::SizesType> start_pos_shape = {1};
-
-  token_data.resize(seq_len);
-  if (use_kv_cache_) {
-    // hard code these to size 1 as kv cache is locked to static size right now.
-    start_pos_data.resize(1);
-    start_pos_data.push_back(0);
-  }
-
-  // initialize tensor wrappers
-  ManagedTensor tokens_managed(
-      token_data.data(), token_shape, ScalarType::Long);
-  // Create with the max shape to approapriately set the capacity of this
-  // tensor, then resize back to 1 for first input.
-  tokens_managed.resize({1, 1});
-
-  ManagedTensor start_pos_managed(
-      start_pos_data.data(), start_pos_shape, ScalarType::Long);
-
-  int64_t prev_token;
-  int64_t cur_token = prompt_tokens[0];
+      "num_prompt_tokens %d >= seq_len %d, Sequence length exceeded - please increase the seq_len value passed to generate()",
+      num_prompt_tokens,
+      seq_len);
 
   // Prefill first
   // Here feed all tokens to the model and get the next predicted token
   // after the prompt. After that we will enter generate loop.
-  auto prefill_res =
-      prefill(prompt_tokens, tokens_managed, start_pos_managed, token_callback);
-  ET_CHECK_OK_OR_RETURN_ERROR(prefill_res.error());
-  exec_aten::Tensor& prefill_res_tensor = prefill_res.get();
-  cur_token = logitsToToken(prefill_res_tensor);
-  if (use_kv_cache_) {
-    // Prefill could be parallel or sequential.
-    // Parallel:
-    //  kv cache:
-    //    - tokens_managed should resized to 1 as inference expects one token at
-    //    a time.
-    //  no kv cache:
-    //    - tokens_managed should be resized to prompt length + 1, as inference
-    //    expects all tokens at once.
-    // Sequential prefill:
-    //  kv cache:
-    //     - tokens_managed should be resized to 1, as inference expects one
-    //     token at a time.
-    //  no kv cache:
-    //     - tokens_managed should be resized to prompt length + 1, as inference
-    //     expects all tokens at once.
-    tokens_managed.resize({1, 1});
-  } else {
-    tokens_managed.resize({1, num_prompt_tokens + 1});
-  }
-  pos = num_prompt_tokens;
-
-  // Generate our tokens
-  while (pos < seq_len - 1) {
-    // Run the model
-    Result<torch::executor::Tensor> logits_res =
-        run_model_step(cur_token, tokens_managed, start_pos_managed, seq_len);
-
-    ET_CHECK_OK_OR_RETURN_ERROR(logits_res.error());
-    exec_aten::Tensor& logits_tensor = logits_res.get();
 
-    prev_token = cur_token;
-
-    long sample_start_time_ms = util::time_in_ms();
-    cur_token = logitsToToken(logits_tensor);
-    stats_.aggregate_sampling_time_ms +=
-        util::time_in_ms() - sample_start_time_ms;
-
-    pos++;
-
-    // print the token as string, decode it with the Tokenizer object
-    auto piece_res = tokenizer_->decode(prev_token, cur_token);
-    ET_CHECK(piece_res.ok());
-    const char* piece = piece_res.get().c_str();
-
-    // same as printf("%s", piece), but skips "unsafe" bytes
-    util::safe_printf(piece);
-    fflush(stdout);
+  // print prompts
+  if (echo) {
+    wrapped_callback(prompt);
+  }
+  int64_t pos = 0;
+  auto prefill_res = text_prefiller_->prefill(prompt_tokens, pos);
+  stats_.first_token_ms = llm::time_in_ms();
+  stats_.prompt_eval_end_ms = llm::time_in_ms();
+  ET_CHECK_OK_OR_RETURN_ERROR(prefill_res.error());
+  uint64_t cur_token = prefill_res.get();
 
-    if (token_callback) {
-      token_callback(piece);
-    }
+  // print the first token from prefill. No prev_token so use cur_token for it.
+  wrapped_callback(ET_UNWRAP(tokenizer_->decode(cur_token, cur_token)));
+  ET_LOG(
+      Info,
+      "RSS after prompt prefill: %f MiB (0 if unsupported)",
+      llm::get_rss_bytes() / 1024.0 / 1024.0);
 
-    if (shouldStop_) {
-      break;
-    }
+  // start the main loop
+  prompt_tokens.push_back(cur_token);
+  int64_t num_generated_tokens = ET_UNWRAP(text_token_generator_->generate(
+      prompt_tokens, num_prompt_tokens, seq_len, wrapped_callback));
 
-    // data-dependent terminating condition: we have n_eos_ number of EOS
-    if (pos >= num_prompt_tokens && cur_token == eos_id_) {
-      printf("\n");
-      ET_LOG(Info, "\nReached to the end of generation");
-      break;
-    }
-  }
-  stats_.inference_end_ms = util::time_in_ms();
+  stats_.inference_end_ms = llm::time_in_ms();
   printf("\n");
+  ET_LOG(
+      Info,
+      "RSS after finishing text generation: %f MiB (0 if unsupported)",
+      llm::get_rss_bytes() / 1024.0 / 1024.0);
 
-  if (pos == seq_len) {
+  if (num_prompt_tokens + num_generated_tokens == seq_len) {
     ET_LOG(Info, "Sequence length (%i tokens) reached!", seq_len);
   }
 
   stats_.num_prompt_tokens = num_prompt_tokens;
-  stats_.num_generated_tokens = pos - num_prompt_tokens;
-  printReport(stats_);
+  stats_.num_generated_tokens = num_generated_tokens;
+  ::executorch::llm::print_report(stats_);
   if (stats_callback) {
     stats_callback(stats_);
   }
@@ -487,93 +259,11 @@ Error Runner::generate(
   return Error::Ok;
 }
 
-namespace {
-void printReport(const Runner::Stats& stats) {
-  printf("PyTorchObserver %s\n", statsToJsonString(stats).c_str());
-
-  ET_LOG(
-      Info,
-      "\tPrompt Tokens: %" PRIu64 "    Generated Tokens: %" PRIu64,
-      stats.num_prompt_tokens,
-      stats.num_generated_tokens);
-
-  ET_LOG(
-      Info,
-      "\tModel Load Time:\t\t%f (seconds)",
-      ((double)(stats.model_load_end_ms - stats.model_load_start_ms) /
-       stats.SCALING_FACTOR_UNITS_PER_SECOND));
-  double inference_time_ms =
-      (double)(stats.inference_end_ms - stats.inference_start_ms);
-  ET_LOG(
-      Info,
-      "\tTotal inference time:\t\t%f (seconds)\t\t Rate: \t%f (tokens/second)",
-      inference_time_ms / stats.SCALING_FACTOR_UNITS_PER_SECOND,
-
-      (stats.num_generated_tokens) /
-          (double)(stats.inference_end_ms - stats.inference_start_ms) *
-          stats.SCALING_FACTOR_UNITS_PER_SECOND);
-  double prompt_eval_time =
-      (double)(stats.prompt_eval_end_ms - stats.inference_start_ms);
-  ET_LOG(
-      Info,
-      "\t\tPrompt evaluation:\t%f (seconds)\t\t Rate: \t%f (tokens/second)",
-      prompt_eval_time / stats.SCALING_FACTOR_UNITS_PER_SECOND,
-      (stats.num_prompt_tokens) / prompt_eval_time *
-          stats.SCALING_FACTOR_UNITS_PER_SECOND);
-
-  double eval_time =
-      (double)(stats.inference_end_ms - stats.prompt_eval_end_ms);
-  ET_LOG(
-      Info,
-      "\t\tGenerated %" PRIu64
-      " tokens:\t%f (seconds)\t\t Rate: \t%f (tokens/second)",
-      stats.num_generated_tokens,
-      eval_time / stats.SCALING_FACTOR_UNITS_PER_SECOND,
-      stats.num_generated_tokens / eval_time *
-          stats.SCALING_FACTOR_UNITS_PER_SECOND);
-
-  // Time to first token is measured from the start of inference, excluding
-  // model load time.
-  ET_LOG(
-      Info,
-      "\tTime to first generated token:\t%f (seconds)",
-      ((double)(stats.first_token_ms - stats.inference_start_ms) /
-       stats.SCALING_FACTOR_UNITS_PER_SECOND));
-
-  ET_LOG(
-      Info,
-      "\tSampling time over %" PRIu64 " tokens:\t%f (seconds)",
-      stats.num_prompt_tokens + stats.num_generated_tokens,
-      (double)stats.aggregate_sampling_time_ms /
-          stats.SCALING_FACTOR_UNITS_PER_SECOND);
-}
-
-std::string statsToJsonString(const Runner::Stats& stats) {
-  std::stringstream ss;
-  ss << "{\"prompt_tokens\":" << stats.num_prompt_tokens << ","
-     << "\"generated_tokens\":" << stats.num_generated_tokens << ","
-     << "\"model_load_start_ms\":" << stats.model_load_start_ms << ","
-     << "\"model_load_end_ms\":" << stats.model_load_end_ms << ","
-     << "\"inference_start_ms\":" << stats.inference_start_ms << ","
-     << "\"inference_end_ms\":" << stats.inference_end_ms << ","
-     << "\"prompt_eval_end_ms\":" << stats.prompt_eval_end_ms << ","
-     << "\"first_token_ms\":" << stats.first_token_ms << ","
-     << "\"aggregate_sampling_time_ms\":" << stats.aggregate_sampling_time_ms
-     << "," << "\"SCALING_FACTOR_UNITS_PER_SECOND\":"
-     << stats.SCALING_FACTOR_UNITS_PER_SECOND << "}";
-  return ss.str();
-}
-} // namespace
-
 void Runner::stop() {
-  shouldStop_ = true;
+  if (is_loaded()) {
+    text_token_generator_->stop();
+  } else {
+    ET_LOG(Error, "Token generator is not loaded, cannot stop");
+  }
 }
-
-// explicit instantiation of template methods
-template int64_t Runner::getMetadataHelper<int64_t>(
-    const std::string& method_name,
-    int64_t default_val);
-template bool Runner::getMetadataHelper<bool>(
-    const std::string& method_name,
-    bool default_val);
-} // namespace torch::executor
+} // namespace example
diff --git a/examples/models/llama2/runner/runner.h b/examples/models/llama2/runner/runner.h
index 7b9d2763fc..72d0ea12a5 100644
--- a/examples/models/llama2/runner/runner.h
+++ b/examples/models/llama2/runner/runner.h
@@ -17,12 +17,14 @@
 #include <string>
 #include <unordered_map>
 
-#include <executorch/extension/llm/sampler/sampler.h>
+#include <executorch/extension/llm/runner/stats.h>
+#include <executorch/extension/llm/runner/text_decoder_runner.h>
+#include <executorch/extension/llm/runner/text_prefiller.h>
+#include <executorch/extension/llm/runner/text_token_generator.h>
 #include <executorch/extension/llm/tokenizer/tokenizer.h>
 #include <executorch/extension/module/module.h>
-#include <executorch/extension/runner_util/managed_tensor.h>
 
-namespace torch::executor {
+namespace example {
 
 class Runner {
  public:
@@ -31,76 +33,34 @@ class Runner {
       const std::string& tokenizer_path,
       const float temperature = 0.8f);
 
-  struct Stats {
-    // Scaling factor for timestamps - in this case, we use ms.
-    const long SCALING_FACTOR_UNITS_PER_SECOND = 1000;
-    // Time stamps for the different stages of the execution
-    // model_load_start_ms: Start of model loading.
-    long model_load_start_ms;
-    // model_load_end_ms: End of model loading.
-    long model_load_end_ms;
-    // inference_start_ms: Immediately after the model is loaded (or we check
-    // for model load), measure the inference time.
-    long inference_start_ms;
-    // prompt_eval_end_ms: Prompt array allocation and tokenization. Ends right
-    // before the inference loop starts
-    long prompt_eval_end_ms;
-    // first_token: Timestamp when the first generated token is emitted
-    long first_token_ms;
-    // inference_end_ms: End of inference/generation.
-    long inference_end_ms;
-    // Keep a running total of the time spent in sampling.
-    long aggregate_sampling_time_ms;
-    // Token count from prompt
-    int64_t num_prompt_tokens;
-    // Token count from generated (total - prompt)
-    int64_t num_generated_tokens;
-  };
-
   bool is_loaded() const;
-  Error load();
-  Error generate(
+  ::executorch::runtime::Error load();
+  ::executorch::runtime::Error generate(
       const std::string& prompt,
       int32_t seq_len = 128,
       std::function<void(const std::string&)> token_callback = {},
-      std::function<void(const Stats&)> stats_callback = {});
+      std::function<void(const ::executorch::extension::llm::Stats&)>
+          stats_callback = {},
+      bool echo = true);
   void stop();
 
  private:
-  // metadata
-  template <typename T>
-  T getMetadataHelper(const std::string& method_name, T default_val);
-  int32_t logitsToToken(const exec_aten::Tensor& logits_tensor);
-  Result<torch::executor::Tensor> prefill(
-      const std::vector<uint64_t>& tokens,
-      ManagedTensor& managed_tokens,
-      ManagedTensor& managed_start_pos,
-      std::function<void(const std::string&)> token_callback);
-  Result<torch::executor::Tensor> run_model_step(
-      int64_t input_token,
-      ManagedTensor& tokens,
-      ManagedTensor& start_pos,
-      size_t max_seq_len);
-  // metadata
-  int32_t vocab_size_;
-  int32_t bos_id_;
-  int32_t eos_id_;
-  int32_t n_bos_;
-  int32_t n_eos_;
-  int32_t max_seq_len_;
-  bool use_kv_cache_;
-  bool use_sdpa_with_kv_cache_;
-  bool append_eos_;
-  std::unordered_set<std::string> model_methods_;
-  std::string model_path_;
-  std::unique_ptr<Module> module_;
-  std::string tokenizer_path_;
   float temperature_;
-  std::unique_ptr<Tokenizer> tokenizer_;
-  std::unique_ptr<Sampler> sampler_;
   bool shouldStop_{false};
-  Stats stats_;
-  bool enable_parallel_prefill_;
+
+  // model
+  std::unique_ptr<::executorch::extension::Module> module_;
+  std::string tokenizer_path_;
+  std::unique_ptr<::executorch::extension::llm::Tokenizer> tokenizer_;
+  std::unordered_map<std::string, int64_t> metadata_;
+  std::unique_ptr<::executorch::extension::llm::TextDecoderRunner>
+      text_decoder_runner_;
+  std::unique_ptr<::executorch::extension::llm::TextPrefiller> text_prefiller_;
+  std::unique_ptr<::executorch::extension::llm::TextTokenGenerator>
+      text_token_generator_;
+
+  // stats
+  ::executorch::extension::llm::Stats stats_;
 };
 
-} // namespace torch::executor
+} // namespace example
diff --git a/examples/models/llama2/runner/targets.bzl b/examples/models/llama2/runner/targets.bzl
index d525628174..96d47ffce2 100644
--- a/examples/models/llama2/runner/targets.bzl
+++ b/examples/models/llama2/runner/targets.bzl
@@ -4,12 +4,10 @@ def _get_operator_lib(aten = False):
     if aten:
         return ["//executorch/kernels/aten:generated_lib"]
     elif runtime.is_oss:
-        return ["//executorch/kernels/portable:generated_lib", "//executorch/examples/models/llama2/custom_ops:custom_ops"]
+        # TODO(T183193812): delete this path after optimized-oss.yaml is no more.
+        return ["//executorch/configurations:optimized_native_cpu_ops_oss", "//executorch/extension/llm/custom_ops:custom_ops"]
     else:
-        return ["//executorch/configurations:optimized_native_cpu_ops", "//executorch/examples/models/llama2/custom_ops:custom_ops"]
-
-def use_tiktoken():
-    return native.read_config("llama", "use_tiktoken", "0") == "1"
+        return ["//executorch/configurations:optimized_native_cpu_ops", "//executorch/extension/llm/custom_ops:custom_ops"]
 
 def define_common_targets():
     for aten in (True, False):
@@ -22,29 +20,29 @@ def define_common_targets():
             ],
             exported_headers = [
                 "runner.h",
-                "util.h",
             ],
             preprocessor_flags = [
                 "-DUSE_ATEN_LIB",
             ] if aten else [],
-            exported_preprocessor_flags = ["-DET_USE_TIKTOKEN"] if use_tiktoken() else [],
             visibility = [
                 "@EXECUTORCH_CLIENTS",
             ],
+            # qnn_executorch_backend can be added below //executorch/backends/qualcomm:qnn_executorch_backend
             exported_deps = [
                 "//executorch/backends/xnnpack:xnnpack_backend",
-                "//executorch/extension/llm/sampler:sampler" + aten_suffix,
+                "//executorch/extension/llm/runner:stats",
+                "//executorch/extension/llm/runner:text_decoder_runner" + aten_suffix,
+                "//executorch/extension/llm/runner:text_prefiller" + aten_suffix,
+                "//executorch/extension/llm/runner:text_token_generator" + aten_suffix,
                 "//executorch/extension/evalue_util:print_evalue" + aten_suffix,
-                "//executorch/extension/runner_util:managed_tensor" + aten_suffix,
                 "//executorch/extension/module:module" + aten_suffix,
+                "//executorch/extension/tensor:tensor" + aten_suffix,
                 "//executorch/kernels/quantized:generated_lib" + aten_suffix,
                 "//executorch/runtime/core/exec_aten:lib" + aten_suffix,
                 "//executorch/runtime/core/exec_aten/util:tensor_util" + aten_suffix,
-            ] + ([
                 "//executorch/examples/models/llama2/tokenizer:tiktoken",
-            ] if use_tiktoken() else [
                 "//executorch/extension/llm/tokenizer:bpe_tokenizer",
-            ]) + (_get_operator_lib(aten)) + ([
+            ] + (_get_operator_lib(aten)) + ([
                 # Vulkan API currently cannot build on some platforms (e.g. Apple, FBCODE)
                 # Therefore enable it explicitly for now to avoid failing tests
                 "//executorch/backends/vulkan:vulkan_backend_lib",
diff --git a/examples/models/llama2/runner/util.h b/examples/models/llama2/runner/util.h
deleted file mode 100644
index 5d4792b641..0000000000
--- a/examples/models/llama2/runner/util.h
+++ /dev/null
@@ -1,49 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#pragma once
-#include <stdio.h>
-#include <time.h>
-#include <cctype>
-
-namespace torch {
-namespace executor {
-namespace util {
-
-void inline safe_printf(const char* piece) {
-  // piece might be a raw byte token, and we only want to print printable chars
-  // or whitespace because some of the other bytes can be various control codes,
-  // backspace, etc.
-  if (piece == nullptr) {
-    return;
-  }
-  if (piece[0] == '\0') {
-    return;
-  }
-  if (piece[1] == '\0') {
-    unsigned char byte_val = piece[0];
-    if (!(isprint(byte_val) || isspace(byte_val))) {
-      return; // bad byte, don't print it
-    }
-  }
-  printf("%s", piece);
-}
-
-// ----------------------------------------------------------------------------
-// utilities: time
-
-long inline time_in_ms() {
-  // return time in milliseconds, for benchmarking the model speed
-  struct timespec time;
-  clock_gettime(CLOCK_REALTIME, &time);
-  return time.tv_sec * 1000 + time.tv_nsec / 1000000;
-}
-
-} // namespace util
-} // namespace executor
-} // namespace torch
diff --git a/examples/models/llama2/source_transformation/apply_spin_quant_r1_r2.py b/examples/models/llama2/source_transformation/apply_spin_quant_r1_r2.py
new file mode 100644
index 0000000000..e71007b195
--- /dev/null
+++ b/examples/models/llama2/source_transformation/apply_spin_quant_r1_r2.py
@@ -0,0 +1,179 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import typing
+
+import torch
+
+
+def rotate_embeddings(model, R1: torch.Tensor) -> None:
+    # Rotate the embeddings.
+    for W in [model.tok_embeddings]:
+        dtype = W.weight.data.dtype
+        W_ = W.weight.data.to(device="cpu", dtype=torch.float32)
+        W.weight.data = torch.matmul(W_, R1).to(device="cpu", dtype=dtype)
+
+
+def rotate_attention_inputs(layer, R1) -> None:
+    # Rotate the WQ, WK and WV matrices of the self-attention layer.
+    for W in [layer.attention.wq, layer.attention.wk, layer.attention.wv]:
+        dtype = W.weight.dtype
+        W_ = W.weight.to(device="cpu", dtype=torch.float32)
+        W.weight.data = torch.matmul(W_, R1).to(device="cpu", dtype=dtype)
+
+
+def rotate_attention_output(layer, R1) -> None:
+    # Rotate output matrix of the self-attention layer.
+    W = layer.attention.wo
+    dtype = W.weight.data.dtype
+    W_ = W.weight.data.to(device="cpu", dtype=torch.float32)
+    W.weight.data = torch.matmul(R1.T, W_).to(device="cpu", dtype=dtype)
+    if W.bias is not None:
+        b = W.bias.data.to(device="cpu", dtype=torch.float32)
+        W.bias.data = torch.matmul(R1.T, b).to(device="cpu", dtype=dtype)
+
+
+def rotate_mlp_input(layer, R1):
+    # Rotate the MLP input weights.
+    mlp_inputs = [layer.feed_forward.w3, layer.feed_forward.w1]
+    for W in mlp_inputs:
+        dtype = W.weight.dtype
+        W_ = W.weight.data.to(device="cpu", dtype=torch.float32)
+        W.weight.data = torch.matmul(W_, R1).to(device="cpu", dtype=dtype)
+
+
+def rotate_mlp_output(layer, R1):
+    # Rotate the MLP output weights and bias.
+    W = layer.feed_forward.w2
+    dtype = W.weight.data.dtype
+    W_ = W.weight.data.to(device="cpu", dtype=torch.float32)
+    W.weight.data = torch.matmul(R1.T, W_).to(device="cpu", dtype=dtype)
+
+    if W.bias is not None:
+        b = W.bias.data.to(device="cpu", dtype=torch.float32)
+        W.bias.data = torch.matmul(R1.T, b).to(device="cpu", dtype=dtype)
+
+
+def rotate_head(model, R1: torch.Tensor) -> None:
+    # Rotate the head.
+    W = model.output
+    dtype = W.weight.data.dtype
+    W_ = W.weight.data.to(device="cpu", dtype=torch.float32)
+    W.weight.data = torch.matmul(W_, R1).to(device="cpu", dtype=dtype)
+
+
+def rotate_ov_proj(layer, head_dim, R2=None):
+    W = layer.attention.wv
+    dtype = W.weight.data.dtype
+    W_ = W.weight.data.to(device="cpu", dtype=torch.float32).t()
+    transposed_shape = W_.shape
+    temp = W_.reshape(-1, transposed_shape[-1] // head_dim, head_dim)
+    temp = temp.to(torch.float32) @ R2
+    W_ = temp.reshape(transposed_shape).t()
+    W.weight.data = W_.to(device="cpu", dtype=dtype)
+
+    W = layer.attention.wo
+    dtype = W.weight.data.dtype
+    W_ = W.weight.data.to(device="cpu", dtype=torch.float32)
+    init_shape = W_.shape
+    temp = W_.reshape(-1, init_shape[-1] // head_dim, head_dim)
+    temp = temp.to(torch.float32) @ R2
+    W_ = temp.reshape(init_shape)
+    W.weight.data = W_.to(device="cpu", dtype=dtype)
+
+
+def cleanup_memory() -> None:
+    """Run GC and clear GPU memory."""
+    import gc
+
+    # gc.collect and empty cache are necessary to clean up GPU memory if the model was distributed
+    gc.collect()
+
+
+def get_model_with_r1_r2(optimized_rotation_path: str):
+    return lambda model: apply_spin_quant_r1_r2(model, optimized_rotation_path)
+
+
+def apply_spin_quant_r1_r2(model: torch.nn.Module, optimized_rotation_path: str):
+    optimized_rotation = torch.load(optimized_rotation_path, weights_only=True)
+    R1 = optimized_rotation["R1"].to(torch.float32)
+    config = model.params
+    num_heads = config.n_heads
+    head_dim = config.dim // num_heads
+
+    rotate_embeddings(model, R1)
+    rotate_head(model, R1)
+    cleanup_memory()
+
+    for idx, layer in enumerate(model.layers):
+        key = f"model.layers.{idx}.self_attn.R2"
+        R2 = optimized_rotation[key].to(torch.float32)
+        rotate_attention_inputs(layer, R1)
+        rotate_attention_output(layer, R1)
+        rotate_mlp_input(layer, R1)
+        rotate_mlp_output(layer, R1)
+        rotate_ov_proj(layer, head_dim, R2=R2)
+    return model
+
+
+def fuse_ln_linear(
+    layernorm: torch.nn.Module, linear_layers: typing.Iterable[torch.nn.Linear]
+) -> None:
+    """
+    fuse the linear operations in Layernorm into the adjacent linear blocks.
+    """
+    for linear in linear_layers:
+        linear_dtype = linear.weight.dtype
+
+        # Calculating new weight and bias
+        W_ = linear.weight.data.to(dtype=torch.float32)
+        linear.weight.data = (W_ * layernorm.weight.to(dtype=torch.float32)).to(
+            linear_dtype
+        )
+
+        if hasattr(layernorm, "bias"):
+            if linear.bias is None:
+                linear.bias = torch.nn.Parameter(
+                    torch.zeros(linear.out_features, dtype=torch.float32)
+                )
+            linear.bias.data = linear.bias.data.to(dtype=torch.float32) + torch.matmul(
+                W_, layernorm.bias.to(dtype=torch.float32)
+            )
+            linear.bias.data = linear.bias.data.to(linear_dtype)
+
+
+def fuse_layer_norms(model: torch.nn.Module):
+    # Embedding fusion
+    for W in [model.tok_embeddings]:
+        W_ = W.weight.data.to(dtype=torch.float32)
+        W.weight.data = (W_ - W_.mean(dim=-1, keepdim=True)).to(W.weight.data.dtype)
+
+    # Fuse the linear operations in Layernorm into the adjacent linear blocks.
+    for layer in model.layers:
+        # fuse the input layernorms into the linear layers
+        fuse_ln_linear(layer.ffn_norm, [layer.feed_forward.w3, layer.feed_forward.w1])
+        fuse_ln_linear(
+            layer.attention_norm,
+            [
+                layer.attention.wq,
+                layer.attention.wk,
+                layer.attention.wv,
+            ],
+        )
+
+        W_norm = layer.ffn_norm.weight.data
+        layer.ffn_norm.weight.data = torch.ones_like(W_norm, dtype=torch.float32)
+        W_norm = layer.attention_norm.weight.data
+        layer.attention_norm.weight.data = torch.ones_like(W_norm, dtype=torch.float32)
+
+    fuse_ln_linear(
+        model.norm,
+        [model.output],
+    )
+    W_norm = model.norm.weight.data
+    model.norm.weight.data = torch.ones_like(W_norm, dtype=torch.float32)
+
+    return model
diff --git a/examples/models/llama2/source_transformation/prune_output.py b/examples/models/llama2/source_transformation/prune_output.py
new file mode 100644
index 0000000000..6d02d52fa5
--- /dev/null
+++ b/examples/models/llama2/source_transformation/prune_output.py
@@ -0,0 +1,71 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+from typing import Dict
+
+import numpy as np
+
+import torch
+
+
+def prune_output_vocab(
+    model: torch.nn.Module,
+    token_map: Dict[int, int],
+    output_layer_name: str = "output",
+) -> torch.nn.Module:
+    """Prune the model output linear layer while keeping the tokens in the token map.
+
+    Note: Pruning is performed in-place.
+
+    Args:
+        model: The model to prune.
+        token_map: A dictionary mapping from new token ids to the old token ids to preserve.
+            e.g. {0: 221, 1: 1325, 2: 1542, 3: 1728, 4: 18243}
+        output_layer_name: name of the output layer to prune
+
+    Returns:
+        The pruned model.
+    """
+    assert hasattr(
+        model, output_layer_name
+    ), f"Model does not have {output_layer_name} layer"
+    output_layer = getattr(model, output_layer_name)
+    assert isinstance(
+        output_layer, torch.nn.Linear
+    ), "Output layer is not a linear layer"
+    original_shape = output_layer.weight.shape
+    input_features = original_shape[1]
+    num_pruned_tokens = len(token_map)
+    has_bias = output_layer.bias is not None
+    weight_dtype = output_layer.weight.dtype
+    pruned_layer = torch.nn.Linear(input_features, num_pruned_tokens, bias=has_bias)
+    pruned_layer.to(dtype=weight_dtype)
+    pruned_layer_weights = np.zeros(pruned_layer.weight.shape, dtype=np.float32)
+    pruned_layer_bias = None
+    if has_bias:
+        pruned_layer_bias = np.zeros(pruned_layer.bias.shape, dtype=np.float32)
+    for i, token_id in token_map.items():
+        # Copy the weights and biases from the original layer to the pruned layer
+        pruned_wt = output_layer.weight[token_id].detach()
+        if weight_dtype == torch.bfloat16:
+            pruned_wt = pruned_wt.float()
+        pruned_layer_weights[i] = pruned_wt.numpy()
+        if has_bias:
+            pruned_bias = output_layer.bias[token_id].detach()
+            if weight_dtype == torch.bfloat16:
+                pruned_bias = pruned_bias.float()
+            pruned_layer_bias[i] = pruned_bias.numpy()
+    with torch.no_grad():
+        pruned_layer.weight.copy_(
+            torch.tensor(pruned_layer_weights, dtype=weight_dtype)
+        )
+        if has_bias:
+            pruned_layer.bias.copy_(torch.tensor(pruned_layer_bias, dtype=weight_dtype))
+
+    # Replace the original layer with the pruned layer
+    setattr(model, output_layer_name, pruned_layer)
+
+    return model
diff --git a/examples/models/llama2/source_transformation/quantize.py b/examples/models/llama2/source_transformation/quantize.py
index bb014145bd..da832f8285 100644
--- a/examples/models/llama2/source_transformation/quantize.py
+++ b/examples/models/llama2/source_transformation/quantize.py
@@ -96,7 +96,7 @@ def quantize(
 
         try:
             # torchao 0.3+
-            from torchao._eval import InputRecorder
+            from torchao._eval import InputRecorder  # pyre-fixme[21]
         except ImportError:
             from torchao.quantization.GPTQ import InputRecorder  # pyre-ignore
 
@@ -110,7 +110,7 @@ def quantize(
         )
 
         inputs = (
-            InputRecorder(
+            InputRecorder(  # pyre-fixme[16]
                 tokenizer,
                 calibration_seq_length,
                 None,  # input_prep_func
@@ -399,6 +399,7 @@ def replace_embedding_weight_only_grouped_int8_per_channel(
                     vocab_size=child.weight.shape[0],
                     embedding_dim=child.weight.shape[1],
                     group_size=group_size,
+                    dtype=child.weight.dtype,
                     packed=packed,
                 ),
             )
diff --git a/examples/models/llama2/source_transformation/rms_norm.py b/examples/models/llama2/source_transformation/rms_norm.py
new file mode 100644
index 0000000000..ff7e8b6745
--- /dev/null
+++ b/examples/models/llama2/source_transformation/rms_norm.py
@@ -0,0 +1,23 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import torch
+from executorch.examples.models.llama2.llama_transformer import RMSNorm
+
+
+def replace_rms_norm_with_native_rms_norm(module: torch.nn.Module):
+    for name, child in module.named_children():
+        if isinstance(child, RMSNorm):
+            rms_norm = torch.nn.RMSNorm(child.dim, eps=child.eps)
+            rms_norm.weight = child.weight
+            setattr(
+                module,
+                name,
+                rms_norm,
+            )
+        else:
+            replace_rms_norm_with_native_rms_norm(child)
+    return module
diff --git a/examples/models/llama2/source_transformation/sdpa.py b/examples/models/llama2/source_transformation/sdpa.py
index cc5890a175..0d2e4852e9 100644
--- a/examples/models/llama2/source_transformation/sdpa.py
+++ b/examples/models/llama2/source_transformation/sdpa.py
@@ -4,9 +4,12 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 # Example script for exporting Llama2 to flatbuffer
 
 import math
+from typing import Tuple
 
 import torch
 
@@ -61,7 +64,7 @@ def _replace_sdpa_with_custom_op(module: torch.nn.Module):
 
 
 def replace_sdpa_with_custom_op(module: torch.nn.Module) -> torch.nn.Module:
-    from executorch.examples.models.llama2.custom_ops import sdpa_with_kv_cache  # noqa
+    from executorch.extension.llm.custom_ops import sdpa_with_kv_cache  # noqa
 
     _replace_sdpa_with_custom_op(module)
     return module
@@ -110,6 +113,62 @@ def forward(
         return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim)
 
 
+def repeat_kv(hidden_states: torch.Tensor, n_rep: int) -> torch.Tensor:
+    """
+    This is the equivalent of torch.repeat_interleave(x, dim=1, repeats=n_rep). The hidden states go from (batch,
+    num_key_value_heads, seqlen, head_dim) to (batch, num_attention_heads, seqlen, head_dim)
+    """
+    # TODO: Encounter the bug about source partition, need to investigate more on it.
+    # if n_rep == 1:
+    #     return hidden_states
+
+    new_kv = []
+    batch, n_heads, seqlen, head_dim = hidden_states.shape
+    n_heads *= n_rep
+    for h in hidden_states[0]:
+        new_kv += [h] * n_rep
+    return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
+
+
+class SDPAFlex(torch.nn.Module):
+
+    def __init__(
+        self,
+        kv_cache: KVCache,
+        dim: int,
+        n_rep: int,
+    ):
+        super().__init__()
+        self.kv_cache = kv_cache
+        self.dim = dim
+        self.n_rep = n_rep
+
+    def forward(
+        self,
+        input_pos: torch.Tensor,
+        q: torch.Tensor,
+        k: torch.Tensor,
+        v: torch.Tensor,
+        bsz,
+        seqlen,
+        mask,
+    ):
+        q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
+
+        k, v = self.kv_cache.update(input_pos, k, v)
+        k = repeat_kv(k, self.n_rep)
+        v = repeat_kv(v, self.n_rep)
+        attn_mask = mask[input_pos]
+
+        scale_factor = 1 / math.sqrt(q.size(-1))
+        attn_weight = q @ k.transpose(-2, -1) * scale_factor
+        attn_weight += attn_mask
+        attn_weight = torch.softmax(attn_weight, dim=-1)
+        y = attn_weight @ v
+
+        return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim)
+
+
 def replace_sdpa_with_simple_sdpa(module: torch.nn.Module):
     for name, child in module.named_children():
         if isinstance(child, SDPA):
@@ -123,6 +182,201 @@ def replace_sdpa_with_simple_sdpa(module: torch.nn.Module):
     return module
 
 
+def replace_sdpa_with_flex_sdpa(module: torch.nn.Module):
+    for name, child in module.named_children():
+        if isinstance(child, SDPA):
+            setattr(
+                module,
+                name,
+                SDPAFlex(child.kv_cache, child.dim, child.n_rep),
+            )
+        else:
+            replace_sdpa_with_flex_sdpa(child)
+    return module
+
+
+@torch.library.custom_op("coreml::sdpa", mutates_args=())
+def sdpa(
+    q: torch.Tensor, k: torch.Tensor, v: torch.Tensor, attn_mask: torch.Tensor
+) -> torch.Tensor:
+    """Same as F.scaled_dot_product_attention, but with custom op to avoid lowering during dialect conversion."""
+    return torch.ops.aten.scaled_dot_product_attention.default(
+        q, k, v, attn_mask=attn_mask
+    )
+
+
+@torch.library.register_fake("coreml::sdpa")
+def _(
+    q: torch.Tensor, k: torch.Tensor, v: torch.Tensor, attn_mask: torch.Tensor
+) -> torch.Tensor:
+    """Fake implementation with the right output shape, which is required for torch.compile/export/fx tracing."""
+    expected_shape = list(q.shape)
+    expected_shape[-1] = v.shape[-1]
+    return q.new_empty(expected_shape)
+
+
+class SDPACoreML(torch.nn.Module):
+    """Similar to SDPASimple, but with coreml custom op to do SDPA calculation."""
+
+    def __init__(
+        self,
+        kv_cache: KVCache,
+        dim: int,
+        head_dim: int,
+        n_rep: int,
+    ):
+        super().__init__()
+        self.kv_cache = kv_cache
+        self.dim = dim
+        self.head_dim = head_dim
+        self.n_rep = n_rep
+
+    def forward(
+        self,
+        input_pos: torch.Tensor,
+        q: torch.Tensor,
+        k: torch.Tensor,
+        v: torch.Tensor,
+        bsz,
+        seqlen,
+        mask,
+    ):
+        q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
+        k = k.transpose(1, 2)
+        v = v.transpose(1, 2)
+
+        k, v = self.kv_cache.update(input_pos, k, v)
+        attn_mask = mask[None, None, input_pos]
+
+        if self.n_rep > 1:
+            k = k.repeat_interleave(self.n_rep, dim=1)
+            v = v.repeat_interleave(self.n_rep, dim=1)
+
+        y = torch.ops.coreml.sdpa(q, k, v, attn_mask)
+
+        return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim)
+
+
+def replace_sdpa_with_coreml_sdpa(module: torch.nn.Module):
+    for name, child in module.named_children():
+        if isinstance(child, SDPA):
+            setattr(
+                module,
+                name,
+                SDPACoreML(child.kv_cache, child.dim, child.head_dim, child.n_rep),
+            )
+        else:
+            replace_sdpa_with_coreml_sdpa(child)
+    return module
+
+
+class KVCacheCoreML(torch.nn.Module):
+    """
+    Rather than k_out[:, :, input_pos] = k_val, use torch.ops.aten.index_put_,
+    which can directly translate to CoreML iOS18.silce_update
+    """
+
+    def __init__(
+        self,
+        max_batch_size: int,
+        max_seq_length: int,
+        n_heads: int,
+        head_dim: int,
+        dtype=torch.float32,
+    ):
+        super().__init__()
+        self.max_seq_length = max_seq_length
+        cache_shape = (max_batch_size, n_heads, max_seq_length, head_dim)
+
+        self.max_batch_size = max_batch_size
+        self.n_heads = n_heads
+        self.head_dim = head_dim
+        self.register_buffer(
+            "k_cache", torch.zeros(cache_shape, dtype=dtype, device="cpu")
+        )
+        self.register_buffer(
+            "v_cache", torch.zeros(cache_shape, dtype=dtype, device="cpu")
+        )
+
+    def update(
+        self, input_pos: torch.Tensor, k_val: torch.Tensor, v_val: torch.Tensor
+    ) -> Tuple[torch.Tensor, torch.Tensor]:
+        k_out = torch.ops.aten.index_put_(self.k_cache, [None, None, input_pos], k_val)
+        v_out = torch.ops.aten.index_put_(self.v_cache, [None, None, input_pos], v_val)
+        return k_out, v_out
+
+
+def replace_kv_cache_with_coreml_kv_cache(module: torch.nn.Module):
+    for name, child in module.named_children():
+        if isinstance(child, KVCache):
+            setattr(
+                module,
+                name,
+                KVCacheCoreML(
+                    child.max_batch_size,
+                    child.max_seq_length,
+                    child.n_heads,
+                    child.head_dim,
+                    child.k_cache.dtype,
+                ),
+            )
+        else:
+            replace_kv_cache_with_coreml_kv_cache(child)
+    return module
+
+
+class KVCacheSimple(torch.nn.Module):
+    def __init__(
+        self,
+        max_batch_size: int,
+        max_seq_length: int,
+        n_heads: int,
+        head_dim: int,
+        dtype=torch.float32,
+    ):
+        super().__init__()
+        cache_shape = (max_batch_size, max_seq_length, n_heads, head_dim)
+        self.register_buffer(
+            "past_k_caches",
+            torch.zeros(cache_shape, dtype=dtype, device="cpu"),
+            persistent=False,
+        )
+        self.register_buffer(
+            "past_v_caches",
+            torch.zeros(cache_shape, dtype=dtype, device="cpu"),
+            persistent=False,
+        )
+
+    def update(
+        self, input_pos: torch.Tensor, k_val: torch.Tensor, v_val: torch.Tensor
+    ) -> Tuple[torch.Tensor, torch.Tensor]:
+        k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val)
+        v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val)
+
+        k_out = k_out.transpose(1, 2)
+        v_out = v_out.transpose(1, 2)
+        return k_out, v_out
+
+
+def replace_kv_cache_with_simple_kv_cache(module: torch.nn.Module):
+    for name, child in module.named_children():
+        if isinstance(child, KVCache):
+            setattr(
+                module,
+                name,
+                KVCacheSimple(
+                    child.max_batch_size,
+                    child.max_seq_length,
+                    child.n_heads,
+                    child.head_dim,
+                    child.k_cache.dtype,
+                ),
+            )
+        else:
+            replace_kv_cache_with_simple_kv_cache(child)
+    return module
+
+
 def replace_causal_mask(module: torch.nn.Module):
     for buffer_fqn_name, buffer in module.named_buffers():
         buffer_name = buffer_fqn_name.split(".")[-1]
diff --git a/examples/models/llama2/source_transformation/spin_quant.py b/examples/models/llama2/source_transformation/spin_quant.py
new file mode 100644
index 0000000000..a45db190f4
--- /dev/null
+++ b/examples/models/llama2/source_transformation/spin_quant.py
@@ -0,0 +1,148 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+
+# Helper functions for tranforming the model to be able to run SpinQuant.
+# See https://github.com/facebookresearch/SpinQuant for more details about SpinQuant.
+
+from typing import Any
+
+import torch
+
+import torch.nn.functional as F
+
+from executorch.examples.models.llama2.llama_transformer import FeedForward
+from torch import nn
+from torchao.quantization.GPTQ import _check_linear_int4_k, Int8DynActInt4WeightLinear
+from torchao.quantization.quant_api import _replace_with_custom_fn_if_matches_filter
+
+
+def _inject_fast_hadamard_transform_cuda_for_spin_quant(module: torch.nn.Module):
+    """
+    SpinQuant needs two Hadmard matrixes: R3 and R4. Here we are only injecting R4 in the feed forward layer.
+    R3 needs to be injected as well when KV cache quantization is enabled.
+    """
+    try:
+        from fast_hadamard_transform import hadamard_transform
+    except ImportError:
+        raise ImportError(
+            "Please install fast-hadamard-transform: pip install fast-hadamard-transform"
+        )
+
+    class FeedForwardCustom(nn.Module):
+        def __init__(self, w1, w2, w3):
+            super().__init__()
+            self.w1 = w1
+            self.w2 = w2
+            self.w3 = w3
+
+        def forward(self, x):
+            w = F.silu(self.w1(x)) * self.w3(x)
+            n = w.shape[-1]
+            return self.w2(hadamard_transform(w.contiguous()) / torch.tensor(n).sqrt())
+
+    for name, child in module.named_children():
+        if isinstance(child, FeedForward):
+            setattr(module, name, FeedForwardCustom(child.w1, child.w2, child.w3))
+        else:
+            _inject_fast_hadamard_transform_cuda_for_spin_quant(child)
+
+
+def inject_fast_hadamard_transform_cuda_for_spin_quant(
+    module: torch.nn.Module,
+) -> torch.nn.Module:
+    _inject_fast_hadamard_transform_cuda_for_spin_quant(module)
+    return module
+
+
+def _replace_linear_with_linear_8da4w_for_spin_quant(
+    module: torch.nn.Module,
+    checkpoint: Any,
+    group_size: int,
+    precision: torch.dtype,
+    scales_precision: torch.dtype,
+):
+    def filter_fn(child: torch.nn.Module, cur_fqn: str) -> bool:
+        # Only replace linear layers where the checkpoint contains explicit scales
+        scales_key = f"{cur_fqn}.scale"
+        if isinstance(child, nn.Linear) and scales_key in checkpoint:
+            assert _check_linear_int4_k(child.in_features, group_size)
+            assert checkpoint[f"{cur_fqn}.weight"].dtype == torch.int8
+            assert checkpoint[scales_key].dtype == scales_precision
+            return True
+        return False
+
+    def replacement_fn(child: torch.nn.Module) -> torch.nn.Module:
+        new_linear = Int8DynActInt4WeightLinear(
+            child.in_features,
+            child.out_features,
+            bias=False,
+            device=child.weight.device,
+            groupsize=group_size,
+            precision=precision,
+            scales_precision=scales_precision,
+        )
+        return new_linear
+
+    _replace_with_custom_fn_if_matches_filter(module, replacement_fn, filter_fn)
+
+
+def transform_for_spinquant(
+    module: torch.nn.Module,
+    checkpoint: Any,
+    group_size: int,
+    quantization_mode: str,
+    dtype: torch.dtype,
+) -> torch.nn.Module:
+    """
+    Transform the model to be able to load SpinQuant checkpoints that
+    are quantized with the given group size and quantization mode.
+    """
+
+    if group_size not in [32, 64, 128, 256]:
+        raise ValueError(f"Group size {group_size} is not supported for SpinQuant.")
+    if quantization_mode not in ["8da4w"]:
+        raise ValueError(
+            f"Quantization mode {quantization_mode} is not compatible with SpinQuant."
+        )
+    _replace_linear_with_linear_8da4w_for_spin_quant(
+        module,
+        checkpoint,
+        group_size,
+        dtype,
+        dtype,
+    )
+    return module
+
+
+def sanitize_checkpoint_from_spinquant(
+    checkpoint: Any,
+    group_size: int,
+):
+    """
+    Sanitize the SpinQuant checkpoint.
+        - Renames 'scale' to 'scales'
+        - Groups scales
+        - Removes 'o_weight'
+        - Converts all tensors to contiguous format
+    """
+    keys_to_rename = []
+    keys_to_remove = []
+    for k, _ in checkpoint.items():
+        if k.endswith(".scale"):
+            new_key = k + "s"
+            keys_to_rename.append((k, new_key))
+        if k.endswith(".o_weight"):
+            keys_to_remove.append(k)
+
+    for old_key, new_key in keys_to_rename:
+        old_val = checkpoint.pop(old_key)
+        checkpoint[new_key] = old_val if group_size == -1 else old_val[:, ::group_size]
+    for k in keys_to_remove:
+        checkpoint.pop(k)
+    for k, v in checkpoint.items():
+        checkpoint[k] = v.contiguous()
diff --git a/examples/models/llama2/targets.bzl b/examples/models/llama2/targets.bzl
index a0c41d03e0..57e84256a4 100644
--- a/examples/models/llama2/targets.bzl
+++ b/examples/models/llama2/targets.bzl
@@ -10,14 +10,15 @@ def define_common_targets():
                 srcs = [
                     "main.cpp",
                 ],
+                compiler_flags = ["-Wno-global-constructors"],
                 preprocessor_flags = [
                     "-DUSE_ATEN_LIB",
                 ] if aten else [],
                 deps = [
                     "//executorch/examples/models/llama2/runner:runner" + aten_suffix,
                     "//executorch/extension/evalue_util:print_evalue",
-                    "//executorch/backends/xnnpack/threadpool:threadpool",
-                    "//executorch/backends/xnnpack/threadpool:cpuinfo_utils",
+                    "//executorch/extension/threadpool:threadpool",
+                    "//executorch/extension/threadpool:cpuinfo_utils",
                 ],
                 external_deps = [
                     "gflags",
diff --git a/examples/models/llama2/tests/TARGETS b/examples/models/llama2/tests/TARGETS
index 3d2aef6209..76981d8f31 100644
--- a/examples/models/llama2/tests/TARGETS
+++ b/examples/models/llama2/tests/TARGETS
@@ -13,3 +13,16 @@ python_unittest(
         "//executorch/examples/models/llama2:llama_transformer",
     ],
 )
+
+python_unittest(
+    name = "test_spinquant_transforms",
+    srcs = [
+        "test_spinquant_transforms.py",
+    ],
+    deps = [
+        "//caffe2:torch",
+        "//executorch/examples/models/llama2:export_library",
+        "//executorch/examples/models/llama2:llama_transformer",
+        "//pytorch/ao:torchao",
+    ],
+)
diff --git a/examples/models/llama2/tests/test_spinquant_transforms.py b/examples/models/llama2/tests/test_spinquant_transforms.py
new file mode 100644
index 0000000000..bd56632c5f
--- /dev/null
+++ b/examples/models/llama2/tests/test_spinquant_transforms.py
@@ -0,0 +1,89 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import unittest
+
+import torch
+from executorch.examples.models.llama2.llama_transformer import ModelArgs, Transformer
+from executorch.examples.models.llama2.source_transformation.spin_quant import (
+    sanitize_checkpoint_from_spinquant,
+    transform_for_spinquant,
+)
+from torchao.quantization.utils import group_quantize_tensor_symmetric
+
+
+class SpinQuantTests(unittest.TestCase):
+    def test_transforms_for_spinquant(self):
+
+        # Step 1: Create llama class with dummy weights
+        params = {
+            "dim": 768,
+            "multiple_of": 32,
+            "n_heads": 12,
+            "n_layers": 12,
+            "norm_eps": 1e-05,
+            "vocab_size": 32000,
+        }
+
+        model_args = ModelArgs(
+            max_seq_len=2048,
+            max_batch_size=1,
+            use_kv_cache=False,
+            use_sdpa_with_kv_cache_op=False,
+            generate_full_logits=False,
+            enable_dynamic_shape=True,
+            **params,
+        )
+
+        model = Transformer(model_args)
+        checkpoint = model.state_dict()
+
+        # Step 2:
+        # Do group-wise quantization and amend the checkpoints with
+        # int8 weight and fp32 scales
+        group_size = 32
+        n_bit = 4
+        scales_precision = torch.float32
+        for fqn, mod in model.named_modules():
+            # Quantize everything except the last layer
+            if isinstance(mod, torch.nn.Linear) and ("output" not in fqn):
+                weight = mod.weight.data
+                (
+                    weight_int8,
+                    scales,
+                    zeros,
+                ) = group_quantize_tensor_symmetric(
+                    weight.to(torch.float32), n_bit, group_size, scales_precision
+                )
+                checkpoint[f"{fqn}.weight"] = weight_int8.to("cpu")
+                checkpoint[f"{fqn}.scale"] = scales.to("cpu")
+
+        # Step 3:
+        # Transform the model so that it is compatible with the new checkpoint
+        transform_for_spinquant(
+            model,
+            checkpoint,
+            32,
+            "8da4w",
+            torch.float32,
+        )
+        sanitize_checkpoint_from_spinquant(
+            checkpoint,
+            -1,
+        )
+
+        model.load_state_dict(
+            checkpoint,
+            strict=False,
+            assign=True,
+        )
+
+        new_checkpoint = model.state_dict()
+
+        for k, v in checkpoint.items():
+            # The new_checkpoint contains zeros so
+            # have to iterate over the keys.
+            self.assertTrue(torch.allclose(new_checkpoint[k], v))
diff --git a/examples/models/llama2/tokenizer/llama_tiktoken.cpp b/examples/models/llama2/tokenizer/llama_tiktoken.cpp
index 60620a9b33..5ce9d7f14c 100644
--- a/examples/models/llama2/tokenizer/llama_tiktoken.cpp
+++ b/examples/models/llama2/tokenizer/llama_tiktoken.cpp
@@ -8,8 +8,10 @@
 
 #include <executorch/examples/models/llama2/tokenizer/llama_tiktoken.h>
 
-namespace torch {
-namespace executor {
+namespace example {
+
+using ::executorch::extension::llm::Tiktoken;
+
 namespace {
 static constexpr int32_t kSpecialTokensSize = 256;
 static constexpr size_t kBOSTokenIndex = 0;
@@ -23,15 +25,15 @@ _get_default_special_tokens() {
           "<|end_of_text|>",
           "<|reserved_special_token_0|>",
           "<|reserved_special_token_1|>",
-          "<|reserved_special_token_2|>",
-          "<|reserved_special_token_3|>",
+          "<|finetune_right_pad_id|>",
+          "<|step_id|>",
           "<|start_header_id|>",
           "<|end_header_id|>",
-          "<|reserved_special_token_4|>",
-          "<|eot_id|>"});
-
+          "<|eom_id|>",
+          "<|eot_id|>",
+          "<|python_tag|>"});
   // pad the rest of the special tokens with reserved tokens
-  ssize_t reserved_special_token_num = 5;
+  ssize_t reserved_special_token_num = 2;
   while (special_tokens->size() < kSpecialTokensSize) {
     special_tokens->emplace_back(
         "<|reserved_special_token_" +
@@ -72,7 +74,7 @@ _get_multimodal_special_tokens() {
 
 std::unique_ptr<std::vector<std::string>> _get_special_tokens(Version version) {
   switch (version) {
-    case MULTIMODAL:
+    case Version::Multimodal:
       return _get_multimodal_special_tokens();
     default:
       return _get_default_special_tokens();
@@ -86,5 +88,4 @@ std::unique_ptr<Tiktoken> get_tiktoken_for_llama(Version version) {
       _get_special_tokens(version), kBOSTokenIndex, kEOSTokenIndex);
 }
 
-} // namespace executor
-} // namespace torch
+} // namespace example
diff --git a/examples/models/llama2/tokenizer/llama_tiktoken.h b/examples/models/llama2/tokenizer/llama_tiktoken.h
index 5e05b946d1..6baa3f49cc 100644
--- a/examples/models/llama2/tokenizer/llama_tiktoken.h
+++ b/examples/models/llama2/tokenizer/llama_tiktoken.h
@@ -10,15 +10,14 @@
 
 #include <executorch/extension/llm/tokenizer/tiktoken.h>
 
-namespace torch {
-namespace executor {
+namespace example {
 
-enum Version {
-  DEFAULT,
-  MULTIMODAL,
+enum class Version {
+  Default,
+  Multimodal,
 };
 
-std::unique_ptr<Tiktoken> get_tiktoken_for_llama(Version version = DEFAULT);
+std::unique_ptr<::executorch::extension::llm::Tiktoken> get_tiktoken_for_llama(
+    Version version = Version::Default);
 
-} // namespace executor
-} // namespace torch
+} // namespace example
diff --git a/examples/models/llama2/tokenizer/targets.bzl b/examples/models/llama2/tokenizer/targets.bzl
index 70318740d6..40f8f29ac1 100644
--- a/examples/models/llama2/tokenizer/targets.bzl
+++ b/examples/models/llama2/tokenizer/targets.bzl
@@ -21,3 +21,19 @@ def define_common_targets():
             "@EXECUTORCH_CLIENTS",
         ],
     )
+
+    runtime.python_library(
+        name = "tiktoken_py",
+        srcs = [
+            "tiktoken.py",
+        ],
+        _is_external_target = True,
+        visibility = [
+            "//bento/...",
+            "//bento_kernels/...",
+            "//executorch/...",
+        ],
+        deps = [
+            "fbsource//third-party/pypi/tiktoken:tiktoken",
+        ],
+    )
diff --git a/examples/models/llama2/tokenizer/test/test_tiktoken.cpp b/examples/models/llama2/tokenizer/test/test_tiktoken.cpp
index 0bc1e7d9dc..5bd6515b67 100644
--- a/examples/models/llama2/tokenizer/test/test_tiktoken.cpp
+++ b/examples/models/llama2/tokenizer/test/test_tiktoken.cpp
@@ -7,20 +7,25 @@
  */
 
 #include <executorch/examples/models/llama2/tokenizer/llama_tiktoken.h>
+
+#include <vector>
+
 #include <executorch/runtime/platform/runtime.h>
+
 #include <gtest/gtest.h>
-#include <vector>
 
 using namespace ::testing;
 
-namespace torch {
-namespace executor {
+using ::example::Version;
+using ::executorch::extension::llm::Tokenizer;
+using ::executorch::runtime::Error;
+using ::executorch::runtime::Result;
 
 class MultimodalTiktokenV5ExtensionTest : public Test {
  public:
   void SetUp() override {
-    torch::executor::runtime_init();
-    tokenizer_ = get_tiktoken_for_llama(MULTIMODAL);
+    executorch::runtime::runtime_init();
+    tokenizer_ = get_tiktoken_for_llama(Version::Multimodal);
     modelPath_ = std::getenv("RESOURCES_PATH") +
         std::string("/test_tiktoken_tokenizer.model");
   }
@@ -79,5 +84,3 @@ TEST_F(MultimodalTiktokenV5ExtensionTest, TokenizerDecodeCorrectly) {
     EXPECT_EQ(out.get(), expected[i]);
   }
 }
-} // namespace executor
-} // namespace torch
diff --git a/examples/models/llama2/tokenizer/tiktoken.py b/examples/models/llama2/tokenizer/tiktoken.py
index a1f0fde11a..d12b4eb33d 100644
--- a/examples/models/llama2/tokenizer/tiktoken.py
+++ b/examples/models/llama2/tokenizer/tiktoken.py
@@ -116,8 +116,8 @@ def encode(
             s (str): The input string to be encoded.
             bos (bool): Whether to prepend the beginning-of-sequence token.
             eos (bool): Whether to append the end-of-sequence token.
-            allowed_tokens ("all"|set[str]): allowed special tokens in string
-            disallowed_tokens ("all"|set[str]): special tokens that raise an error when in string
+            allowed_special ("all"|set[str]): allowed special tokens in string
+            disallowed_special ("all"|set[str]): special tokens that raise an error when in string
 
         Returns:
             list[int]: A list of token IDs.
@@ -125,7 +125,7 @@ def encode(
         By default, setting disallowed_special=() encodes a string by ignoring
         special tokens. Specifically:
         - Setting `disallowed_special` to () will cause all text corresponding
-          to special tokens to be encoded as natural text (insteading of raising
+          to special tokens to be encoded as natural text (instead of raising
           an error).
         - Setting `allowed_special` to "all" will treat all text corresponding
           to special tokens to be encoded as special tokens.
diff --git a/examples/models/llava/CMakeLists.txt b/examples/models/llava/CMakeLists.txt
new file mode 100644
index 0000000000..c36e39a04c
--- /dev/null
+++ b/examples/models/llava/CMakeLists.txt
@@ -0,0 +1,228 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+#
+# Simple CMake build system for llava runner.
+#
+# ### Editing this file ###
+#
+# This file should be formatted with
+# ~~~
+# cmake-format -i CMakeLists.txt
+# ~~~
+# It should also be cmake-lint clean.
+#
+cmake_minimum_required(VERSION 3.19)
+project(llava)
+
+# Duplicating options as root CMakeLists.txt
+option(EXECUTORCH_BUILD_KERNELS_OPTIMIZED "Build the optimized kernels" OFF)
+
+# This is a temporary hack to get around Torch dep so we can test this on android
+option(LLAVA_RUNNER_NO_TORCH_DUMMY_IMAGE "Hack option to feed dummy image to remove torch.load dep" OFF)
+
+include(CMakeDependentOption)
+#
+# pthreadpool: build pthreadpool library. Disable on unsupported platforms
+#
+cmake_dependent_option(
+  EXECUTORCH_BUILD_PTHREADPOOL "Build pthreadpool library." ON
+  "NOT EXECUTORCH_BUILD_ARM_BAREMETAL" OFF
+)
+#
+# cpuinfo: build cpuinfo library. Disable on unsupported platforms
+#
+cmake_dependent_option(
+  EXECUTORCH_BUILD_CPUINFO "Build cpuinfo library." ON
+  "NOT EXECUTORCH_BUILD_ARM_BAREMETAL" OFF
+)
+
+if(NOT PYTHON_EXECUTABLE)
+  set(PYTHON_EXECUTABLE python3)
+endif()
+
+set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../../..)
+
+include(${EXECUTORCH_ROOT}/build/Utils.cmake)
+
+if(NOT PYTHON_EXECUTABLE)
+  resolve_python_executable()
+endif()
+
+if(NOT CMAKE_CXX_STANDARD)
+  set(CMAKE_CXX_STANDARD 17)
+  # Can't set to 11 due to executor_runner.cpp make_unique
+endif()
+
+if(CMAKE_TOOLCHAIN_FILE MATCHES ".*(iOS|ios\.toolchain)\.cmake$")
+  set(CMAKE_TOOLCHAIN_IOS ON)
+else()
+  set(CMAKE_TOOLCHAIN_IOS OFF)
+endif()
+
+set(_common_compile_options -Wno-deprecated-declarations -fPIC)
+
+# Let files say "include <executorch/path/to/header.h>".
+set(_common_include_directories ${EXECUTORCH_ROOT}/..)
+
+# For some reason android build is not able to find where gflags is and hence
+# cannot find corresponding .cmake file
+set(gflags_DIR ${CMAKE_CURRENT_BINARY_DIR}/../../../third-party/gflags)
+find_package(gflags REQUIRED)
+
+# Avoid torch dep from torch.load()-ing the image.
+# This is a temporary hack.
+if(LLAVA_RUNNER_NO_TORCH_DUMMY_IMAGE)
+  add_definitions(-DLLAVA_NO_TORCH_DUMMY_IMAGE=1)
+  message("Buidling the runner without Torch, feeding a dummy image!")
+else()
+  find_package(Torch CONFIG REQUIRED)
+endif()
+add_definitions(-D_GLIBCXX_USE_CXX11_ABI=0)
+
+#
+# llava_main: test binary to run llava, with tokenizer and sampler integrated
+#
+
+# find `executorch` libraries Same as for gflags
+set(executorch_DIR ${CMAKE_CURRENT_BINARY_DIR}/../../../lib/cmake/ExecuTorch)
+find_package(executorch CONFIG REQUIRED)
+if(CMAKE_TOOLCHAIN_IOS OR ANDROID)
+  target_link_options_shared_lib(executorch)
+endif()
+
+# custom ops library
+if(EXECUTORCH_BUILD_KERNELS_CUSTOM)
+  add_subdirectory(
+    ${EXECUTORCH_ROOT}/extension/llm/custom_ops
+    ${CMAKE_CURRENT_BINARY_DIR}/../../../extension/llm/custom_ops
+  )
+endif()
+
+# llava_runner library
+add_subdirectory(runner)
+
+set(LINK_LIBS gflags)
+if(NOT LLAVA_RUNNER_NO_TORCH_DUMMY_IMAGE)
+  list(APPEND LINK_LIBS torch)
+endif()
+set(link_libraries ${LINK_LIBS})
+set(_srcs main.cpp)
+
+if(EXECUTORCH_BUILD_KERNELS_OPTIMIZED)
+  list(
+    APPEND
+    link_libraries
+    optimized_native_cpu_ops_lib
+    optimized_kernels
+    portable_kernels
+    cpublas
+    eigen_blas
+  )
+  target_link_options_shared_lib(optimized_native_cpu_ops_lib)
+else()
+  list(APPEND link_libraries portable_ops_lib portable_kernels)
+  target_link_options_shared_lib(portable_ops_lib)
+endif()
+
+# quantized_ops_lib: Register quantized op kernels into the runtime
+target_link_options_shared_lib(quantized_ops_lib)
+list(APPEND link_libraries quantized_kernels quantized_ops_lib)
+
+if(EXECUTORCH_BUILD_KERNELS_CUSTOM)
+  target_link_options_shared_lib(custom_ops)
+  list(APPEND link_libraries custom_ops)
+endif()
+
+set(XNNPACK_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../../../backends/xnnpack)
+# Extra compile option and include dir for pthreadpool
+if(EXECUTORCH_BUILD_PTHREADPOOL)
+  list(APPEND _common_compile_options -DET_USE_THREADPOOL)
+  list(APPEND link_libraries extension_threadpool pthreadpool)
+  list(APPEND _common_include_directories
+       ${XNNPACK_ROOT}/third-party/pthreadpool/include
+  )
+endif()
+
+# Extra sources for cpuinfo
+if(EXECUTORCH_BUILD_CPUINFO)
+  list(APPEND link_libraries extension_threadpool cpuinfo)
+  list(APPEND _common_include_directories
+       ${XNNPACK_ROOT}/third-party/cpuinfo/include
+  )
+endif()
+
+# XNNPACK
+if(TARGET xnnpack_backend)
+  set(xnnpack_backend_libs xnnpack_backend XNNPACK)
+  list(APPEND link_libraries ${xnnpack_backend_libs})
+  target_link_options_shared_lib(xnnpack_backend)
+endif()
+
+# Vulkan backend
+if(TARGET vulkan_backend)
+  list(APPEND link_libraries vulkan_backend)
+  target_link_options_shared_lib(vulkan_backend)
+endif()
+
+# Qnn backend
+if(TARGET qnn_executorch_backend)
+  list(APPEND link_libraries qnn_executorch_backend)
+  target_link_options_shared_lib(qnn_executorch_backend)
+endif()
+
+# MPS backend
+if(TARGET mpsdelegate)
+  list(
+    APPEND
+    link_libraries
+    mpsdelegate
+    "-framework Foundation"
+    "-weak_framework MetalPerformanceShaders"
+    "-weak_framework MetalPerformanceShadersGraph"
+    "-weak_framework Metal"
+  )
+  target_link_options_shared_lib(mpsdelegate)
+endif()
+
+if(TARGET coremldelegate)
+  find_library(SQLITE_LIBRARY sqlite3)
+  list(
+    APPEND
+    link_libraries
+    coremldelegate
+    sqlite3
+    "-framework Foundation"
+    "-framework CoreML"
+    "-framework Accelerate"
+  )
+  target_link_options_shared_lib(coremldelegate)
+endif()
+
+# This one is needed for cpuinfo where it uses android specific log lib
+if(ANDROID)
+  list(APPEND link_libraries log)
+endif()
+
+add_executable(llava_main ${_srcs})
+if(CMAKE_BUILD_TYPE STREQUAL "Release")
+  if(APPLE)
+    target_link_options(llava_main PRIVATE "LINKER:-dead_strip,-s")
+  else()
+    target_link_options(llava_main PRIVATE "LINKER:--gc-sections,-s")
+  endif()
+endif()
+
+target_include_directories(llava_main PUBLIC ${_common_include_directories})
+target_link_libraries(llava_main PUBLIC llava_runner ${link_libraries})
+target_compile_options(llava_main PUBLIC ${_common_compile_options})
+
+if(APPLE)
+  target_link_options_shared_lib(executorch)
+endif()
+
+# Print all summary
+executorch_print_configuration_summary()
diff --git a/examples/models/llava/README.md b/examples/models/llava/README.md
index a074fa6133..ad2f3f3dc9 100644
--- a/examples/models/llava/README.md
+++ b/examples/models/llava/README.md
@@ -1,20 +1,196 @@
 ## Summary
-In this example, we initiate the process of running multi modality through ExecuTorch.
-- Demonstrate how to export the image encoder model in the [LLava](https://github.com/haotian-liu/LLaVA) multimodal model.
-- Provide TODO steps on how to use the exported .pte file and the existing [exported Llama2 model](https://github.com/pytorch/executorch/tree/main/examples/models/llama2), to build the multimodal pipeline.
+LLaVA is the first multi-modal LLM ExecuTorch supports. In this directory, we
+- Host a model definition for [LLavA](https://github.com/haotian-liu/LLaVA).
+- Demonstrate how to export LLavA multimodal model to generate ExecuTorch .PTE file.
+- Provide a C++ runner, Android/iOS Apps that loads the .pte file, the tokenizer and an image, then generate responses based on user prompt.
+- Discuss optimizations went into enabling LlaVA on a phone, and early performance numbers
+
+Tokenizer, image encoder, and the pretrained text model, which is based on Meta
+[Llama2-7b](https://llama.meta.com/llama2/), is loaded from Llava
+huggingface page [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5-7b-hf) .
+
+
+<p align="center">
+      <img src="./llava_via_xnnpack.gif" width=300>
+      <br>
+      <em>
+      Running Llava1.5 7B on Android phone
+      </em>
+</p>
+
+## What is LLaVA?
+
+[LLaVA](https://llava-vl.github.io/) is a novel end-to-end trained large
+multimodal model that combines a vision encoder and Vicuna (a LLama2 based text
+model) for general-purpose visual and language understanding, achieving
+impressive chat capabilities mimicking spirits of the cutting edge multimodal
+models and setting a high bar for accuracy on Science QA.
 
 ## Instructions
-Note that this folder does not host the pretrained LLava model.
-- To have Llava available, follow the [Install instructions](https://github.com/haotian-liu/LLaVA?tab=readme-ov-file#install) in the LLava github. Follow the licence in the specific repo when using L
-- Since the pytorch model version may not be updated, `cd executorch`, run `./install_requirements.sh`.
-- If there is numpy compatibility issue, run `pip install bitsandbytes -I`.
-- Alternatively, run `examples/models/llava_encoder/install_requirements.sh`, to replace the steps above.
-- Run `python3 -m examples.portable.scripts.export --model_name="llava_encoder"`. The llava_encoder.pte file will be generated.
-- Run `./cmake-out/executor_runner --model_path ./llava_encoder.pte` to verify the exported model with ExecuTorch runtime with portable kernels. Note that the portable kernels are not performance optimized. Please refer to other examples like those in llama2 folder for optimization.
-
-## TODO
-- Write the pipeline in cpp
-  - Have image and text prompts as inputs.
-  - Call image processing functions to preprocess the image tensor.
-  - Load the llava_encoder.pte model, run it using the image tensor.
-  - The output of the encoder can be combined with the prompt, as inputs to the llama model. Call functions in llama_runner.cpp to run the llama model and get outputs. The ExecuTorch end to end flow for the llama model is located at `examples/models/llama2`.
+
+First you need to generate a .PTE file for the model, along with input image,
+and other artifacts. Then you need either a C++ runner, or Android or iOS
+application to test things out on device.
+
+### Generate ExecuTorch .PTE and other artifacts
+
+Run the following command to generate `llava.pte`, `tokenizer.bin` and an image
+tensor (serialized in TorchScript) `image.pt`.
+
+Prerequisite: run `install_requirements.sh` to install ExecuTorch and run
+`examples/models/llava/install_requirements.sh` to install dependencies.
+
+```bash
+python -m executorch.examples.models.llava.export_llava --pte-name llava.pte --with-artifacts
+```
+
+Currently the whole export process takes about 6 minutes. We also provide a
+small test utility to verify the correctness of the exported .pte file. Just run:
+
+```bash
+python -m executorch.examples.models.llava.test.test_pte llava.pte
+```
+
+### Build C++ Runner
+
+See or run `.ci/scripts/test_llava.sh` shell script to build a C++ runner. This
+script also has preliminary support to build the C++ runner for Android.
+
+This also has an image utility Python script to generate image in PyTorch
+loadable format. Alternatively, we are working on generating image format which
+doesn't need PyTorch to load an image. Motivation for this is to build the C++
+runner on Android.
+
+Then you should be able to find `llava_main` binary:
+
+```bash
+cmake-out/examples/models/llava/llava_main
+```
+
+### Build Mobile Apps
+
+#### Android
+
+We can run LLAVA using the LLAMA Demo Apps. Please refer to [this
+tutorial](https://github.com/pytorch/executorch/tree/main/examples/demo-apps/android/LlamaDemo)
+to for full instructions on building the Android LLAMA Demo App.
+
+#### iOS
+
+We can run LLAVA using the LLAMA Demo Apps. Please refer to [this
+tutorial](https://github.com/pytorch/executorch/tree/main/examples/demo-apps/apple_ios/LLaMA)
+to for full instructions on building the iOS LLAMA Demo App.
+
+### Running LLaVA
+
+Run:
+```bash
+cmake-out/examples/models/llava/llava_main \
+    --model_path=llava.pte                 \
+    --tokenizer_path=tokenizer.bin         \
+    --image_path=image.pt                  \
+    --prompt="ASSISTANT:" \
+    --seq_len=768                          \
+    --temperature=0
+```
+(see --help for other options).
+
+For this example input used in this example,
+
+![image](https://upload.wikimedia.org/wikipedia/commons/3/3e/Chicago_Bulls_-_New_Jersey_Nets_match_on_March_28%2C_1991.jpg)
+
+You should get a response like (tested on Arm CPUs with ET XNNPACK delegate):
+
+```
+ASSISTANT: image captures a basketball game in progress, with several players on the court. ...
+```
+
+## Optimizations and Results
+
+Since LLaVA model needs at least 4-bit quantization to fit even within some of
+the high-end phones, results presented here correspond to 4-bit groupwise
+post-training quantized model.
+
+In addition to that, work is mainly focused on using Arm CPUs and ET XNNPACK delegate.
+
+### Memory Footprint Reduction Techniques
+
+With Llava, we needed to find a way to reduce the memory footprint in order to
+make it feasible to run on edge devices. Out of the box, even with 4-bit
+quantized weights, the memory footprint is around ~11 GiB, which is
+prohibitively large even for high-end Android or iOS devices.
+
+We did several optimizations, which should be already enabled if you follow this
+tutorial, to get the memory footprint down to ~5 GiB, which unblocks us to run
+on high-end devices.
+
+#### Sharing intermediate memory across delegates
+
+Sharing working memory across ET XNNPACK delegates helps reduce the peak memory
+usage for LLMs with many DQLinears. We reduced it by 36.1% (from 10.44GiB to
+6.67GiB) for Llava towards unblocking it to run on Phones.
+
+#### Reducing maximum sequence length
+
+To free up more memory, we examined non-constant memory usage, specifically
+focusing on intermediate tensors used throughout the model during inference.
+The majority of these were found in the KV-cache allocations. Based on “minimum
+can get away with” heuristic, we reduced max sequence length number to 768 from
+previous default 2048. This adjustment led to a further memory reduction of
+approximately 1.23 GiB (from 6.67 GiB to 5.44 GiB).
+
+#### Quantizing embedding weights to 8b
+
+By quantizing the embedding layer to 8 bit, we were able to achieve an
+additional memory footprint reduction of approximately 300 MiB, bringing the
+total down to ~5 GiB.
+
+### Performance Optimizations
+
+#### Decode performance
+
+This was already heavily optimized through KV-cache and GEMV kernel
+optimization efforts for LLama2/3.
+
+#### Encode performance
+
+With image based large prompts, this was the focus of performance
+optimizations for LLaVA. We implemented two main optimizations to bring the decode or
+prefill performance for the image down by more than 100% from the baseline.
+
+* **Two XNNPACK Partitioners**
+
+For text-only LLMs, our approach involved lowering only DQLinear ops
+to XNNPACK and relying on ExecuTorch-optimized operators or custom ops
+(utilizing Neon SIMD) to support multiplication, addition, and other
+operations. Lowering these operations to XNNPACK significantly improves Time to
+First Token (TTFT).
+
+
+* **New Arm Neon I8mm GEMM kernels**
+
+We introduced new kernels in XNNPACK for the quantization scheme used
+here, which upgrades our existing dot-prod based GEMM kernels to i8mm based
+GEMM kernels. The new kernel offers significantly improved performance by
+leveraging the more efficient SMMLA instruction from Arm Neon. However, it's
+worth noting that this instruction is only available on newer Arm CPUs.
+
+
+### Results
+
+Note this is an active area of development in the ExecuTorch repository. You
+will need this PR [5380](https://github.com/pytorch/executorch/pull/5380) to
+supply an image to the C++ runner on Android without Torch dependency. This
+should be merged soon.
+
+With those caveats out of the way, here are some preliminary numbers (as average of
+three runs) for LLaVA using a C++ runner on Android OnePlus12 device with 12GiB
+memory.
+
+| Experiment Setup  | Prefill time in seconds | Decode tokens/second |
+| :------------- | -------------: | -------------: |
+| Baseline  | 29.95  | 8.75 |
+| + Two XNNPACK Partitioners  | 17.82  | 8.93 |
+| + New Arm Neon i8mm GEMM Kernels  | 14.60 | 8.92 |
+
+We appreciate your feedback. Please let us know if you run into any issues.
diff --git a/examples/models/llava/export_llava.py b/examples/models/llava/export_llava.py
index 7cf14e07d1..47a5407cf1 100644
--- a/examples/models/llava/export_llava.py
+++ b/examples/models/llava/export_llava.py
@@ -8,24 +8,39 @@
 from argparse import ArgumentParser, BooleanOptionalAction
 
 import torch
-from executorch.backends.xnnpack.partition.xnnpack_partitioner import (
-    XnnpackDynamicallyQuantizedPartitioner,
-    # XnnpackFloatingPointPartitioner,
+from executorch.backends.xnnpack.partition.config.xnnpack_config import (
+    ConfigPrecisionType,
 )
+from executorch.backends.xnnpack.partition.xnnpack_partitioner import XnnpackPartitioner
 from executorch.examples.models.llama2.export_llama_lib import (
     build_args_parser,
     get_quantizer_and_quant_params,
 )
 from executorch.examples.models.llama2.source_transformation.quantize import (
+    EmbeddingQuantHandler,
     get_quant_weight_transform,
 )
 from executorch.examples.models.llama2.source_transformation.sdpa import (
     replace_sdpa_with_custom_op,
 )
-from executorch.exir import EdgeCompileConfig, to_edge
+from executorch.examples.models.llava.image_util import serialize_image
+from executorch.examples.models.llava.model import LlavaModel
+from executorch.exir import (
+    EdgeCompileConfig,
+    ExecutorchBackendConfig,
+    to_edge_transform_and_lower,
+)
+
+from executorch.exir.passes import MemoryPlanningPass
+from executorch.exir.passes.quant_fusion_pass import QuantFusionPass
+from executorch.exir.passes.sym_shape_eval_pass import (
+    ConstraintBasedSymShapeEvalPass,
+    HintBasedSymShapeEvalPass,
+)
 
 from executorch.extension.llm.export.builder import DType, LLMEdgeManager
-from model import LlavaModel
+from executorch.extension.llm.tokenizer.tokenizer import Tokenizer
+from executorch.util.activation_memory_profiler import generate_memory_trace
 from torch.ao.quantization.quantizer.xnnpack_quantizer import (
     get_symmetric_quantization_config,
     XNNPACKQuantizer,
@@ -74,6 +89,7 @@ def forward(self, input_pos, embeddings):
         use_kv_cache=True,
         example_inputs=(torch.tensor([0], dtype=torch.int64), embeddings),
         dynamic_shapes=dynamic_shapes,
+        args=llava.text_model_args,
     )
 
     dtype_override = DType.fp32
@@ -82,7 +98,7 @@ def forward(self, input_pos, embeddings):
         ["-X", "-qmode", "8da4w", "--group_size", "128", "--embedding-quantize", "4,32"]
     )
     quant_transform = get_quant_weight_transform(args, dtype_override, False)
-    pt2e_quant_params, quantizers, quant_dtype = get_quantizer_and_quant_params(args)
+    _, quantizers, _ = get_quantizer_and_quant_params(args)
     source_transforms = []
     if llava.use_sdpa_with_kv_cache_op:
         source_transforms.append(replace_sdpa_with_custom_op)
@@ -118,21 +134,23 @@ def forward(self, images):
     llava_image_encode = LlavaImageEncoder(llava)
 
     # quantizer
-    linear_quantizer = XNNPACKQuantizer()
-    operator_config_dynamic = get_symmetric_quantization_config(
-        is_per_channel=True, is_dynamic=True
-    )
-    linear_quantizer.set_global(operator_config_dynamic)
+    quantizer = XNNPACKQuantizer()
+    quantizer.set_global(get_symmetric_quantization_config())
 
-    manager = LlavaEdgeManager(
-        model=llava_image_encode,
-        modelname="llava_image_encoder",
-        max_seq_len=llava.text_model_args.max_seq_len,  # This may not be right
-        dtype=DType.fp32,
-        use_kv_cache=True,
-        example_inputs=(resized,),
-        dynamic_shapes=dynamic_shapes,
-    ).capture_pre_autograd_graph()
+    manager = (
+        LlavaEdgeManager(
+            model=llava_image_encode,
+            modelname="llava_image_encoder",
+            max_seq_len=llava.text_model_args.max_seq_len,  # This may not be right
+            dtype=DType.fp32,
+            use_kv_cache=True,
+            example_inputs=(resized,),
+            dynamic_shapes=dynamic_shapes,
+            args=None,
+        )
+        .capture_pre_autograd_graph()
+        .pt2e_quantize([quantizer])
+    )
 
     # lower to executorch
     with torch.no_grad():
@@ -145,47 +163,32 @@ def forward(self, images):
 
 
 def export_token_embedding(llava, prompt):
-    embed = torch.nn.Embedding(
-        llava.model_.config.vocab_size,
-        llava.model_.config.hidden_size,
-        llava.model_.config.pad_token_id,
-    )
-    embed.load_state_dict(
-        llava.model_.get_model().embed_tokens.state_dict(), strict=True, assign=True
-    )
-    embed = embed.to(torch.float32)
-    token_dim_1 = Dim("token_dim_1", min=2, max=3518)
+    def quant_embedding(model):
+        return EmbeddingQuantHandler(
+            model,
+            bitwidth=8,
+            group_size=32,
+            packed=False,
+        ).quantized_model()
+
+    quantized_token_embed = quant_embedding(llava.model_.language_model.model)
+    token_dim_1 = Dim("token_dim_1", min=2, max=llava.text_model_args.max_seq_len)
     dynamic_shapes = [{1: token_dim_1}]
     with torch.no_grad():
         token_embedding_ep = torch.export.export(
-            embed, (prompt,), dynamic_shapes=dynamic_shapes
+            quantized_token_embed.embed_tokens, (prompt,), dynamic_shapes=dynamic_shapes
         )
     return token_embedding_ep
 
 
-def main():
-    parser = ArgumentParser()
-    parser.add_argument(
-        "--use-sdpa-with-kv-cache",
-        default=True,
-        action=BooleanOptionalAction,
-        help="Use sdpa_with_kv_cache custom op in LLava text model.",
-    )
-    parser.add_argument(
-        "--pte-name",
-        default="llava_combined_xnnpack.pte",
-        help="Name of the exported ExecuTorch program.",
-    )
-    args = parser.parse_args()
-    logging.info(
-        f"Exporting Llava model to ExecuTorch with sdpa_with_kv_cache: {args.use_sdpa_with_kv_cache}"
-    )
-    llava_model = LlavaModel(use_sdpa_with_kv_cache_op=args.use_sdpa_with_kv_cache)
+def export_all(llava_model: LlavaModel):
     llava = llava_model.get_eager_model()
 
-    prompt_before_image, resized, prompt_after_image = (
-        llava_model.get_inputs_for_prefill()
-    )
+    (
+        prompt_before_image,
+        resized,
+        prompt_after_image,
+    ) = llava_model.get_inputs_for_prefill()
 
     image_encoder_ep = export_image_encoder(
         llava, resized, llava_model._get_image_dynamic_shapes()
@@ -201,27 +204,124 @@ def main():
 
     token_embedding_ep = export_token_embedding(llava, prompt_before_image)
 
-    edge_ep = to_edge(
+    lowered_and_edge = to_edge_transform_and_lower(
         {
             "image_encoder": image_encoder_ep,
             "token_embedding": token_embedding_ep,
             "text_model": text_model_ep,
         },
+        partitioner={
+            "image_encoder": [XnnpackPartitioner()],
+            "text_model": [
+                # First partition the DQLinear nodes, then partition the rest of the nodes,
+                # to avoid multiple DQLinear nodes in the same partition,
+                # to avoid holding multiple unpacked and packed weight buffers in memory,
+                # to reduce peak memory footprint.
+                XnnpackPartitioner(
+                    config_precisions=ConfigPrecisionType.DYNAMIC_QUANT,
+                    per_op_mode=True,
+                ),
+                XnnpackPartitioner(),
+            ],
+        },
         compile_config=EdgeCompileConfig(_check_ir_validity=False),
     )
 
-    executorch_program = edge_ep.to_backend(
-        {
-            # TODO: Fix Xnnpack partitioner issue on image encoder.
-            # "image_encoder": XnnpackFloatingPointPartitioner(),
-            "text_model": XnnpackDynamicallyQuantizedPartitioner(),
-        }
-    ).to_executorch()
+    executorch_program = lowered_and_edge.to_executorch(
+        ExecutorchBackendConfig(
+            extract_delegate_segments=True,
+            passes=[
+                QuantFusionPass(),
+            ],
+            memory_planning_pass=MemoryPlanningPass(alloc_graph_input=False),
+            sym_shape_eval_pass={
+                "image_encoder": ConstraintBasedSymShapeEvalPass(),
+                "text_model": ConstraintBasedSymShapeEvalPass(),
+                "token_embedding": HintBasedSymShapeEvalPass(),
+            },
+        )
+    )
+    for execution_plan in executorch_program._emitter_output.program.execution_plan:
+        logging.info(
+            f"Required memory for activation in bytes: {execution_plan.non_const_buffer_sizes}"
+        )
+    return executorch_program
+
+
+def get_image_tensor_for_llava_runner(llava_model):
+    # llava runner doesn't have image reader so an image tensor is needed.
+    (resized,) = llava_model.get_example_inputs()
+
+    serialize_image(resized, "image.pt")
+
+
+def get_tokenizer_for_llava_runner(llava_model):
+    # serialize tokenizer into tokenizer.bin
+    llava_model.tokenizer.save_vocabulary("./")
+    t = Tokenizer("tokenizer.model")
+    t.export("tokenizer.bin")
+
+
+def main():
+    parser = ArgumentParser()
+    parser.add_argument(
+        "--use-sdpa-with-kv-cache",
+        default=True,
+        action=BooleanOptionalAction,
+        help="Use sdpa_with_kv_cache custom op in LLava text model.",
+    )
+    parser.add_argument(
+        "--max-seq-len",
+        default=768,
+        type=int,
+        help="Maximum sequence length for the text model.",
+    )
+    parser.add_argument(
+        "--pte-name",
+        default="llava_combined_xnnpack.pte",
+        help="Name of the exported ExecuTorch program.",
+    )
+    parser.add_argument(
+        "--with-artifacts",
+        default=False,
+        action=BooleanOptionalAction,
+        help="Generate artifacts for llava runner.",
+    )
+    parser.add_argument(
+        "--profile_memory",
+        required=False,
+        action="store_true",
+        help="Generate chrome trace of activation memory for intermediate tensors.",
+    )
+    args = parser.parse_args()
+    logging.info(
+        f"Exporting Llava model to ExecuTorch with sdpa_with_kv_cache: {args.use_sdpa_with_kv_cache}, max_seq_len: {args.max_seq_len}"
+    )
+    llava_model = LlavaModel(
+        use_sdpa_with_kv_cache_op=args.use_sdpa_with_kv_cache,
+        max_seq_len=args.max_seq_len,
+    )
+
+    executorch_program = export_all(llava_model)
+
+    # memory profiling
+    if args.profile_memory:
+        for method_name in executorch_program.methods:
+            generate_memory_trace(
+                executorch_program,
+                f"{args.pte_name}_{method_name}.json",
+                method_name=method_name,
+            )
 
     with open(args.pte_name, "wb") as f:
         executorch_program.write_to_file(f)
     logging.info(f"Exported ExecuTorch program to {args.pte_name}")
 
+    # artifacts
+    if args.with_artifacts:
+        get_image_tensor_for_llava_runner(llava_model)
+        get_tokenizer_for_llava_runner(llava_model)
+
 
 if __name__ == "__main__":
     main()
diff --git a/examples/models/llava/image_util.py b/examples/models/llava/image_util.py
new file mode 100644
index 0000000000..bf5e331d61
--- /dev/null
+++ b/examples/models/llava/image_util.py
@@ -0,0 +1,78 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# Utility functions for image processing. Run it with your image:
+
+# python image_util.py --image-path <path_to_image>
+
+import logging
+from argparse import ArgumentParser
+
+import torch
+import torchvision
+from PIL import Image
+from torch import nn
+
+
+FORMAT = "[%(levelname)s %(asctime)s %(filename)s:%(lineno)s] %(message)s"
+logging.basicConfig(level=logging.INFO, format=FORMAT)
+
+
+def prepare_image(image: Image, target_h: int, target_w: int) -> torch.Tensor:
+    """Read image into a tensor and resize the image so that it fits in
+    a target_h x target_w canvas.
+
+    Args:
+        image (Image): An Image object.
+        target_h (int): Target height.
+        target_w (int): Target width.
+
+    Returns:
+        torch.Tensor: resized image tensor.
+    """
+    img = torchvision.transforms.functional.pil_to_tensor(image)
+    # height ratio
+    ratio_h = img.shape[1] / target_h
+    # width ratio
+    ratio_w = img.shape[2] / target_w
+    # resize the image so that it fits in a target_h x target_w canvas
+    ratio = max(ratio_h, ratio_w)
+    output_size = (int(img.shape[1] / ratio), int(img.shape[2] / ratio))
+    img = torchvision.transforms.Resize(size=output_size)(img)
+    return img
+
+
+def serialize_image(image: torch.Tensor, path: str) -> None:
+    copy = torch.tensor(image)
+    m = nn.Module()
+    par = nn.Parameter(copy, requires_grad=False)
+    m.register_parameter("0", par)
+    tensors = torch.jit.script(m)
+    tensors.save(path)
+
+    logging.info(f"Saved image tensor to {path}")
+
+
+def main():
+    parser = ArgumentParser()
+    parser.add_argument(
+        "--image-path",
+        required=True,
+        help="Path to the image.",
+    )
+    parser.add_argument(
+        "--output-path",
+        default="image.pt",
+    )
+    args = parser.parse_args()
+
+    image = Image.open(args.image_path)
+    image_tensor = prepare_image(image, target_h=336, target_w=336)
+    serialize_image(image_tensor, args.output_path)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/examples/models/llava/install_requirements.sh b/examples/models/llava/install_requirements.sh
index 68923c2dad..931d63b391 100644
--- a/examples/models/llava/install_requirements.sh
+++ b/examples/models/llava/install_requirements.sh
@@ -6,39 +6,7 @@
 # LICENSE file in the root directory of this source tree.
 
 set -x
-OS=$(uname)
 
-# install llava from the submodule. We can't do pip install llava because it is packaged incorrectly.
-if [[ $OS != "Darwin" ]];
-then
-    #This doesn't work for macos, on python 3.12, because torch 2.1.2 is missing.
-    pip install --force-reinstall -e examples/third-party/LLaVA
-else
-    # manually install dependencies
-    pip install tokenizers==0.15.1 sentencepiece==0.1.99    \
-        shortuuid accelerate==0.21.0 peft                   \
-        pydantic markdown2[all]  scikit-learn==1.2.2        \
-        requests httpx==0.24.0 uvicorn fastapi              \
-        einops==0.6.1 einops-exts==0.0.4 timm==0.6.13
-
-    pip install --force-reinstall -e examples/third-party/LLaVA --no-deps
-fi
-
-# not included in the pip install package, but needed in llava
-pip install protobuf
-
-# bitsandbytes depends on numpy 1.x, which is not compatible with numpy 2.x.
-# Reinstall bitsandbytes to make it compatible.
-pip install bitsandbytes -I
-
-# The deps of llava can have different versions than deps of ExecuTorch.
-# For example, torch version required from llava is older than ExecuTorch.
-# To make both work, recover ExecuTorch's original dependencies by rerunning
-# the install_requirements.sh. Notice this won't install executorch.
-bash -x ./install_requirements.sh --pybind xnnpack
-
-# Newer transformer (4.38) will give TypeError: LlavaLlamaForCausalLM.forward() got an unexpected keyword argument 'cache_position'
-pip install timm==0.6.13
-pip install transformers==4.37.2
+pip install transformers accelerate sentencepiece
 
 pip list
diff --git a/examples/models/llava/llava_via_xnnpack.gif b/examples/models/llava/llava_via_xnnpack.gif
new file mode 100644
index 0000000000..83c32cf046
Binary files /dev/null and b/examples/models/llava/llava_via_xnnpack.gif differ
diff --git a/examples/models/llava/main.cpp b/examples/models/llava/main.cpp
new file mode 100644
index 0000000000..1e083c8931
--- /dev/null
+++ b/examples/models/llava/main.cpp
@@ -0,0 +1,123 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/examples/models/llava/runner/llava_runner.h>
+#include <gflags/gflags.h>
+#ifndef LLAVA_NO_TORCH_DUMMY_IMAGE
+#include <torch/torch.h>
+#else
+#include <algorithm> // std::fill
+#endif
+
+#if defined(ET_USE_THREADPOOL)
+#include <executorch/extension/threadpool/cpuinfo_utils.h>
+#include <executorch/extension/threadpool/threadpool.h>
+#endif
+
+DEFINE_string(
+    model_path,
+    "llava.pte",
+    "Model serialized in flatbuffer format.");
+
+DEFINE_string(tokenizer_path, "tokenizer.bin", "Tokenizer stuff.");
+
+DEFINE_string(prompt, "The answer to the ultimate question is", "Prompt.");
+
+DEFINE_string(
+    image_path,
+    "",
+    "The path to a .pt file, a serialized torch tensor for an image, longest edge resized to 336.");
+
+DEFINE_double(
+    temperature,
+    0.8f,
+    "Temperature; Default is 0.8f. 0 = greedy argmax sampling (deterministic). Lower temperature = more deterministic");
+
+DEFINE_int32(
+    seq_len,
+    1024,
+    "Total number of tokens to generate (prompt + output). Defaults to max_seq_len. If the number of input tokens + seq_len > max_seq_len, the output will be truncated to max_seq_len tokens.");
+
+DEFINE_int32(
+    cpu_threads,
+    -1,
+    "Number of CPU threads for inference. Defaults to -1, which implies we'll use a heuristic to derive the # of performant cores for a specific device.");
+
+int32_t main(int32_t argc, char** argv) {
+  gflags::ParseCommandLineFlags(&argc, &argv, true);
+
+  // Create a loader to get the data of the program file. There are other
+  // DataLoaders that use mmap() or point32_t to data that's already in memory,
+  // and users can create their own DataLoaders to load from arbitrary sources.
+  const char* model_path = FLAGS_model_path.c_str();
+
+  const char* tokenizer_path = FLAGS_tokenizer_path.c_str();
+
+  const char* prompt = FLAGS_prompt.c_str();
+
+  std::string image_path = FLAGS_image_path;
+
+  double temperature = FLAGS_temperature;
+
+  int32_t seq_len = FLAGS_seq_len;
+
+  int32_t cpu_threads = FLAGS_cpu_threads;
+
+#if defined(ET_USE_THREADPOOL)
+  uint32_t num_performant_cores = cpu_threads == -1
+      ? torch::executorch::cpuinfo::get_num_performant_cores()
+      : static_cast<uint32_t>(cpu_threads);
+  ET_LOG(
+      Info, "Resetting threadpool with num threads = %d", num_performant_cores);
+  if (num_performant_cores > 0) {
+    torch::executorch::threadpool::get_threadpool()->_unsafe_reset_threadpool(
+        num_performant_cores);
+  }
+#endif
+  // create llama runner
+  example::LlavaRunner runner(model_path, tokenizer_path, temperature);
+
+  // read image and resize the longest edge to 336
+  std::vector<uint8_t> image_data;
+
+#ifdef LLAVA_NO_TORCH_DUMMY_IMAGE
+  // Work without torch using a random data
+  image_data.resize(3 * 240 * 336);
+  std::fill(image_data.begin(), image_data.end(), 0); // black
+  std::array<int32_t, 3> image_shape = {3, 240, 336};
+  std::vector<torch::executor::Image> images = {
+      {.data = image_data, .width = image_shape[2], .height = image_shape[1]}};
+#else //  LLAVA_NO_TORCH_DUMMY_IMAGE
+  //   cv::Mat image = cv::imread(image_path, cv::IMREAD_COLOR);
+  //   int longest_edge = std::max(image.rows, image.cols);
+  //   float scale_factor = 336.0f / longest_edge;
+  //   cv::Size new_size(image.cols * scale_factor, image.rows * scale_factor);
+  //   cv::Mat resized_image;
+  //   cv::resize(image, resized_image, new_size);
+  //   image_data.assign(resized_image.datastart, resized_image.dataend);
+  torch::Tensor image_tensor;
+  torch::load(image_tensor, image_path); // CHW
+  ET_LOG(
+      Info,
+      "image size(0): %" PRId64 ", size(1): %" PRId64 ", size(2): %" PRId64,
+      image_tensor.size(0),
+      image_tensor.size(1),
+      image_tensor.size(2));
+  image_data.assign(
+      image_tensor.data_ptr<uint8_t>(),
+      image_tensor.data_ptr<uint8_t>() + image_tensor.numel());
+  std::vector<torch::executor::Image> images = {
+      {.data = image_data,
+       .width = static_cast<int32_t>(image_tensor.size(2)),
+       .height = static_cast<int32_t>(image_tensor.size(1))}};
+#endif // LLAVA_NO_TORCH_DUMMY_IMAGE
+
+  // generate
+  runner.generate(std::move(images), prompt, seq_len);
+  return 0;
+}
diff --git a/examples/models/llava/model.py b/examples/models/llava/model.py
index 35831192b4..8dcf286727 100644
--- a/examples/models/llava/model.py
+++ b/examples/models/llava/model.py
@@ -6,82 +6,58 @@
 
 # An ExecuTorch friendly implementation of Llava-1.5.
 
-import math
-
 import re
 
-from dataclasses import dataclass
-from typing import Any, Dict, Optional
+from typing import Any, Dict, Optional, Tuple
 
 import requests
 import torch
-import torchvision
 from executorch.examples.models.llama2.llama_transformer import ModelArgs, Transformer
 
 from executorch.examples.models.llama2.source_transformation.sdpa import (
     replace_sdpa_with_custom_op,
 )
+from executorch.examples.models.llava.image_util import prepare_image
 from executorch.examples.models.model_base import EagerModelBase
-from llava.constants import (
-    DEFAULT_IM_END_TOKEN,
-    DEFAULT_IM_START_TOKEN,
-    DEFAULT_IMAGE_TOKEN,
-    IMAGE_PLACEHOLDER,
-    IMAGE_TOKEN_INDEX,
-)
-
-from llava.conversation import conv_templates
-
-from llava.mm_utils import get_model_name_from_path, tokenizer_image_token
-
-from llava.model.builder import load_pretrained_model
-
-from llava.model.llava_arch import LlavaMetaForCausalLM
-
-from llava.model.multimodal_encoder.clip_encoder import CLIPVisionTower
 from PIL import Image
 
-from torch import nn
 from torch.export import Dim
 from torchvision.transforms.v2 import functional as F
 
-from transformers import LlamaForCausalLM
-
-
-@dataclass
-class PreprocessConfig:
-    crop_size: dict
-    image_mean: list[float]
-    image_std: list[float]
-    rescale_factor: float
+from transformers import (
+    AutoProcessor,
+    CLIPImageProcessor,
+    LlamaForCausalLM,
+    LlavaForConditionalGeneration,
+)
 
 
 class Llava(torch.nn.Module):
     def __init__(
         self,
-        llava_model: LlavaMetaForCausalLM,
-        image_processor: CLIPVisionTower,
-        config: PreprocessConfig,
+        llava_model: LlavaForConditionalGeneration,
+        image_processor: CLIPImageProcessor,
         use_sdpa_with_kv_cache_op: bool = True,
+        max_seq_len: int = 768,
     ):
         super().__init__()
         self.use_sdpa_with_kv_cache_op = use_sdpa_with_kv_cache_op
-        self.config = config
         self.model_ = llava_model
+        self.image_processor = image_processor
+        self.vision_feature_layer = self.model_.config.vision_feature_layer
+        self.vision_feature_select_strategy = (
+            self.model_.config.vision_feature_select_strategy
+        )
         self.text_model_args = ModelArgs(
             use_kv_cache=True,
-            vocab_size=self.model_.config.vocab_size,
-            hidden_dim=self.model_.config.intermediate_size,
+            vocab_size=self.model_.config.text_config.vocab_size,
+            hidden_dim=self.model_.config.text_config.intermediate_size,
             max_batch_size=1,  # doesn't work with default batch size 32
             ffn_dim_multiplier=1,  # TODO: a hack to make rotary embedding happy
             enable_dynamic_shape=True,  # allow parallel prefill
             use_sdpa_with_kv_cache_op=use_sdpa_with_kv_cache_op,  # use sdpa_with_kv_cache op
             use_hf_rope=True,
-        )
-        self.embed_tokens = nn.Embedding(
-            self.model_.config.vocab_size,
-            self.model_.config.hidden_size,
-            self.model_.config.pad_token_id,
+            max_seq_len=max_seq_len,
         )
         self.text_model = Transformer(self.text_model_args)
         # use custom op for SDPA.
@@ -93,17 +69,9 @@ def __init__(
             strict=False,
             assign=True,
         )
-        self.embed_tokens.load_state_dict(
-            state_dict=self.get_model().embed_tokens.state_dict(),
-            strict=True,
-            assign=True,
-        )
-        self.image_processor = image_processor
-        self.vision_tower = self.get_model().vision_tower
-        self.mm_projector = self.get_model().mm_projector
 
     def _translate_state_dict_for_text_model(self) -> Dict[str, Any]:
-        state_dict = self.model_.state_dict()
+        state_dict = self.model_.language_model.state_dict()
         key_map = {
             # fmt: off
             r"model.layers.([0-9]+).self_attn.q_proj.": r"layers.\1.attention.wq.",
@@ -138,29 +106,74 @@ def get_new_key(old_key: str) -> str:
 
         return new_state_dict
 
+    def _feature_select(self, image_outputs):
+        selected_image_feature = image_outputs.hidden_states[self.vision_feature_layer]
+
+        if self.vision_feature_select_strategy == "default":
+            selected_image_feature = selected_image_feature[:, 1:]
+        elif self.vision_feature_select_strategy == "full":
+            selected_image_feature = selected_image_feature
+        else:
+            raise ValueError(
+                f"Unexpected select feature: {self.vision_feature_select_strategy}"
+            )
+        return selected_image_feature
+
     def get_model(self):
         return self.model_.get_model()
 
+    def embed_tokens(self, tokens: torch.Tensor) -> torch.Tensor:
+        return self.model_.language_model.model.embed_tokens(tokens)
+
     def encode_images(self, images: torch.Tensor) -> torch.Tensor:
-        images = images.to(dtype=self.get_model().dtype)
-        image_features = self.vision_tower(images)
-        image_features = self.mm_projector(image_features)
+        images = images.to(dtype=self.model_.dtype)
+        if type(images) is list:
+            image_features = []
+            for image in images:
+                image_forward_out = self.model_.vision_tower(
+                    image.to(
+                        device=self.model_.device, dtype=self.model_.dtype
+                    ).unsqueeze(0),
+                    output_hidden_states=True,
+                )
+                image_feature = self._feature_select(image_forward_out).to(image.dtype)
+                image_features.append(image_feature)
+        else:
+            image_forward_outs = self.model_.vision_tower(
+                images.to(device=self.model_.device, dtype=self.model_.dtype),
+                output_hidden_states=True,
+            )
+            image_features = self._feature_select(image_forward_outs).to(images.dtype)
+        image_features = self.model_.multi_modal_projector(image_features)
         return image_features
 
     def image_preprocess(self, img: torch.Tensor) -> torch.Tensor:
-        w = max(img.shape[1], img.shape[2])
+        target_h = self.image_processor.crop_size["height"]
+        target_w = self.image_processor.crop_size["width"]
         # pad the image with median rgb value, to make a square
-        v_padding = (w - img.shape[1]) / 2
-        h_padding = (w - img.shape[2]) / 2
-        l_pad = int(math.ceil(h_padding))
-        t_pad = int(math.ceil(v_padding))
-        r_pad = int(math.floor(h_padding))
-        b_pad = int(math.floor(v_padding))
-        resized = F.pad(
+        l_pad = (target_w - img.shape[2]) // 2
+        t_pad = (target_h - img.shape[1]) // 2
+        # ceil division
+        r_pad = -((target_w - img.shape[2]) // -2)
+        b_pad = -((target_h - img.shape[1]) // -2)
+
+        torch._check(l_pad >= 0)
+        torch._check(t_pad >= 0)
+        torch._check(r_pad >= 0)
+        torch._check(b_pad >= 0)
+
+        # This is different from the original implementation, due to export limitations.
+        resized = torch.nn.functional.pad(
             img,
-            padding=(l_pad, t_pad, r_pad, b_pad),
-            fill=tuple(int(x * 255) for x in self.image_processor.image_mean),
+            (l_pad, r_pad, t_pad, b_pad),
         )
+        # originally:
+        # resized = F.pad(
+        #     img,
+        #     padding=(l_pad, t_pad, r_pad, b_pad),
+        #     fill=tuple(int(x * 255) for x in self.image_mean),
+        # )
+
         # TODO: implement _upsample_bicubic_aa.out in portable kernel library.
         # here padded shape should be max(h, w) x max(h, w)
         # skipping resize for now due to missing _upsample_bicubic_aa kernel in portable
@@ -177,9 +190,11 @@ def image_preprocess(self, img: torch.Tensor) -> torch.Tensor:
         # print(resized.shape)
         # cropped = F.center_crop(img, output_size=[w, w])
         # print(cropped.shape)
-        scaled = resized * self.config.rescale_factor
+        scaled = resized * self.image_processor.rescale_factor
         # print(scaled)
-        normed = F.normalize(scaled, self.config.image_mean, self.config.image_std)
+        normed = F.normalize(
+            scaled, self.image_processor.image_mean, self.image_processor.image_std
+        )
         # print(normed)
         return normed.unsqueeze(0)
 
@@ -206,16 +221,19 @@ def prefill_embedding(
         result = torch.cat((embeds_before_img, image_embeds, embeds_after_img), dim=1)
         return result
 
+    # prefill using the in house text_model of llama transformer
     def prefill(
         self,
         prompt_before_image: torch.Tensor,
         images: torch.Tensor,
         prompt_after_image: torch.Tensor,
-    ) -> torch.Tensor:
+    ) -> Tuple[int, torch.Tensor]:
         """Avoiding the torch.where() call to find <image> placeholder and insert image embedding. Taking 3 inputs instead."""
         embeds = self.prefill_embedding(prompt_before_image, images, prompt_after_image)
-        return self.text_model.forward(None, torch.tensor([0]), embeds)
+        # returns the prefilled token length too, because the text model generates one logits in each forward call.
+        return embeds.shape[1], self.text_model.forward(None, torch.tensor([0]), embeds)
 
+    # reference prefill using the text model in HF
     def prefill_ref(
         self,
         prompt_before_image: torch.Tensor,
@@ -225,7 +243,7 @@ def prefill_ref(
         """Avoiding the torch.where() call to find <image> placeholder and insert image embedding. Taking 3 inputs instead."""
         embeds = self.prefill_embedding(prompt_before_image, images, prompt_after_image)
         return LlamaForCausalLM.forward(
-            self.model_,
+            self.model_.language_model,
             inputs_embeds=embeds,
             return_dict=False,
             use_cache=False,
@@ -239,82 +257,25 @@ def forward(
         return self.image_embedding(images)
 
 
-def get_prompt(query: str, mm_use_im_start_end: bool, model_name: str) -> str:
-    qs = query
-    image_token_se = DEFAULT_IM_START_TOKEN + DEFAULT_IMAGE_TOKEN + DEFAULT_IM_END_TOKEN
-    if IMAGE_PLACEHOLDER in qs:
-        if mm_use_im_start_end:
-            qs = re.sub(IMAGE_PLACEHOLDER, image_token_se, qs)
-        else:
-            qs = re.sub(IMAGE_PLACEHOLDER, DEFAULT_IMAGE_TOKEN, qs)
-    else:
-        if mm_use_im_start_end:
-            qs = image_token_se + "\n" + qs
-        else:
-            qs = DEFAULT_IMAGE_TOKEN + "\n" + qs
-
-    def get_conv_mode(model_name: str) -> str:
-        if "llama-2" in model_name.lower():
-            conv_mode = "llava_llama_2"
-        elif "mistral" in model_name.lower():
-            conv_mode = "mistral_instruct"
-        elif "v1.6-34b" in model_name.lower():
-            conv_mode = "chatml_direct"
-        elif "v1" in model_name.lower():
-            conv_mode = "llava_v1"
-        elif "mpt" in model_name.lower():
-            conv_mode = "mpt"
-        else:
-            conv_mode = "llava_v0"
-        return conv_mode
-
-    conv = conv_templates[get_conv_mode(model_name)].copy()
-    conv.append_message(conv.roles[0], qs)
-    conv.append_message(conv.roles[1], None)
-    prompt = conv.get_prompt()
-    return prompt
-
-
 class LlavaModel(EagerModelBase):
-    def __init__(self, use_sdpa_with_kv_cache_op=True):
+    def __init__(self, use_sdpa_with_kv_cache_op=True, max_seq_len=768):
         self.use_sdpa_with_kv_cache_op = use_sdpa_with_kv_cache_op
-        self.model_path = "liuhaotian/llava-v1.5-7b"
-        self.tokenizer, self.model, self.image_processor, context_len = (
-            load_pretrained_model(
-                model_path=self.model_path,
-                model_base=None,
-                model_name=get_model_name_from_path(self.model_path),
-                device_map="cpu",
-                device="cpu",
-            )
-        )
-        self.config = PreprocessConfig(
-            self.image_processor.crop_size,
-            self.image_processor.image_mean,
-            self.image_processor.image_std,
-            self.image_processor.rescale_factor,
+        self.max_seq_len = max_seq_len
+        self.processor = AutoProcessor.from_pretrained("llava-hf/llava-1.5-7b-hf")
+        self.tokenizer = self.processor.tokenizer
+        self.image_processor = self.processor.image_processor
+        self.model = LlavaForConditionalGeneration.from_pretrained(
+            "llava-hf/llava-1.5-7b-hf",
+            device_map="cpu",
         )
         self.image = Image.open(
             requests.get(
                 "https://llava-vl.github.io/static/images/view.jpg", stream=True
             ).raw
         )
-        self.args = type(
-            "Args",
-            (),
-            {
-                "model_path": self.model_path,
-                "model_base": None,
-                "model_name": get_model_name_from_path(self.model_path),
-                "query": "What are the things I should be cautious about when I visit here?",
-                "conv_mode": None,
-                "sep": ",",
-                "temperature": 0,
-                "top_p": None,
-                "num_beams": 1,
-                "max_new_tokens": 512,
-            },
-        )()
+        self.prompt = """A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions. USER: <image>
+What are the things I should be cautious about when I visit here? ASSISTANT:"""
+        self.model_name = "llava-1.5-7b-hf"
         # set input to None and initialize them lazily
         self.input = None
         self.resized_image = None
@@ -323,8 +284,8 @@ def get_eager_model(self):
         model = Llava(
             self.model,
             self.image_processor,
-            self.config,
             self.use_sdpa_with_kv_cache_op,
+            self.max_seq_len,
         )
         model.to(dtype=torch.float32)
         return model
@@ -333,29 +294,20 @@ def get_example_inputs(self):
         """Returns a resized image as input to model.forward()."""
         if self.resized_image:
             return self.resized_image
-        imagr = torchvision.transforms.functional.pil_to_tensor(self.image)
-        ratio = (
-            max(imagr.shape[1], imagr.shape[2])
-            / self.image_processor.crop_size["height"]
+        resized = prepare_image(
+            self.image,
+            self.image_processor.crop_size["height"],
+            self.image_processor.crop_size["width"],
         )
-        output_size = (int(imagr.shape[1] / ratio), int(imagr.shape[2] / ratio))
-        self.resized_image = (torchvision.transforms.Resize(size=output_size)(imagr),)
+        self.resized_image = (resized,)
         return self.resized_image
 
     def get_inputs_for_prefill(self):
         """Returns prompts as well as image."""
         if self.input:
             return self.input
-        model_name = get_model_name_from_path(self.model_path)
-        self.prompt = get_prompt(self.args.query, False, model_name)
-        self.input_ids = (
-            tokenizer_image_token(
-                self.prompt, self.tokenizer, IMAGE_TOKEN_INDEX, return_tensors="pt"
-            )
-            .unsqueeze(0)
-            .cpu()
-        )
-        index = torch.where(self.input_ids == IMAGE_TOKEN_INDEX)[1]
+        self.input_ids = self.tokenizer.encode(self.prompt, return_tensors="pt").cpu()
+        index = torch.where(self.input_ids == self.model.config.image_token_index)[1]
         self.prompt_before_image = self.input_ids[:, :index]
         # print(prompt_before_image.shape)
         self.prompt_after_image = self.input_ids[:, index + 1 :]
@@ -371,12 +323,17 @@ def get_dynamic_shapes(self):
         return self._get_image_dynamic_shapes()
 
     def _get_image_dynamic_shapes(self):
-        height = Dim("height", min=8, max=336)
-        width = Dim("width", min=28, max=336)
+        # only support even number of height and width for now
+        _height = Dim(
+            "_height", min=1, max=self.image_processor.crop_size["height"] // 2
+        )
+        _width = Dim("_width", min=1, max=self.image_processor.crop_size["width"] // 2)
+        height = 2 * _height
+        width = 2 * _width
         dynamic_shapes = [{1: height, 2: width}]
         return dynamic_shapes
 
     def _get_prompt_dynamic_shapes(self):
-        dim = torch.export.Dim("token_dim", min=2, max=2048)
+        dim = torch.export.Dim("token_dim", min=2, max=self.max_seq_len)
         text_model_dynamic_shapes = ({0: 1}, {1: dim})
         return text_model_dynamic_shapes
diff --git a/examples/models/llava/runner/CMakeLists.txt b/examples/models/llava/runner/CMakeLists.txt
new file mode 100644
index 0000000000..2d0c30a620
--- /dev/null
+++ b/examples/models/llava/runner/CMakeLists.txt
@@ -0,0 +1,51 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+#
+# Simple CMake build system for LLaVa runner.
+#
+# ### Editing this file ###
+#
+# This file should be formatted with
+# ~~~
+# cmake-format -i CMakeLists.txt
+# ~~~
+# It should also be cmake-lint clean.
+#
+
+if(NOT EXECUTORCH_ROOT)
+  set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../../../..)
+endif()
+
+include(${EXECUTORCH_ROOT}/build/Utils.cmake)
+include(${EXECUTORCH_ROOT}/build/Codegen.cmake)
+# Let files say "include <executorch/path/to/header.h>".
+set(_common_include_directories ${EXECUTORCH_ROOT}/..)
+
+# build llava_runner library
+set(_llava_runner__srcs
+    "${CMAKE_CURRENT_SOURCE_DIR}/llava_runner.cpp"
+    "${EXECUTORCH_ROOT}/extension/llm/sampler/sampler.cpp"
+    "${EXECUTORCH_ROOT}/extension/llm/tokenizer/bpe_tokenizer.cpp"
+)
+
+# extension llm runner lib
+add_subdirectory(
+  ${CMAKE_CURRENT_SOURCE_DIR}/../../../../extension/llm/runner
+  ${CMAKE_CURRENT_BINARY_DIR}/../../../../extension/llm/runner
+)
+
+add_library(llava_runner STATIC ${_llava_runner__srcs})
+
+set(llava_runner_deps executorch extension_data_loader extension_llm_runner
+                      extension_module extension_tensor
+)
+
+target_link_libraries(llava_runner PUBLIC ${llava_runner_deps})
+
+target_include_directories(
+  llava_runner INTERFACE ${_common_include_directories} ${EXECUTORCH_ROOT}
+)
diff --git a/examples/models/llava/runner/llava_image_prefiller.h b/examples/models/llava/runner/llava_image_prefiller.h
new file mode 100644
index 0000000000..ace28ac2c1
--- /dev/null
+++ b/examples/models/llava/runner/llava_image_prefiller.h
@@ -0,0 +1,103 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// Given a image tensor, prefill the KV cache of LLaVA.
+
+#pragma once
+
+#include <executorch/extension/llm/runner/image_prefiller.h>
+#include <executorch/extension/tensor/tensor.h>
+
+namespace example {
+
+class LlavaImagePrefiller
+    : public ::executorch::extension::llm::ImagePrefiller {
+ public:
+  LlavaImagePrefiller(::executorch::extension::Module* module)
+      : ImagePrefiller(module){};
+  /**
+   * Prefill an LLM Module with the given image input.
+   * @param image The image input to LLaVa.
+   * @param start_pos The starting position in KV cache of the input in the LLM
+   * @return logits of the image prefill.
+   */
+  inline ::executorch::runtime::Result<exec_aten::Tensor> prefill(
+      ::executorch::extension::llm::Image& image,
+      int64_t& start_pos) override {
+    auto image_tensor = executorch::extension::from_blob(
+        image.data.data(),
+        {3, image.height, image.width},
+        ::executorch::aten::ScalarType::Byte);
+    // Run image encoder
+    auto image_encoder_outputs =
+        ET_UNWRAP(module_->execute(kImageEncoderMethod, image_tensor));
+
+    // inputs:[start_pos, embeds]
+    auto start_pos_tensor = executorch::extension::from_blob(
+        &start_pos, {1}, ::executorch::aten::ScalarType::Long);
+
+    // Run text model
+    auto outputs_res = ET_UNWRAP(module_->execute(
+        kTextModelMethod, {start_pos_tensor, image_encoder_outputs[0]}));
+    ET_CHECK_MSG(
+        outputs_res[0].isTensor(),
+        "Non Tensor Output returned from executing image prefill");
+
+    // Update the start_pos, which is only available inside this function.
+    // outputs_res can have only one logits.
+    start_pos += image_encoder_outputs[0].toTensor().size(1);
+
+    return outputs_res[0].toTensor();
+  }
+
+  /**
+   * Load the Module for image prefill purpose.
+   * @return The error code.
+   */
+  inline ::executorch::runtime::Error load() override {
+    if (is_method_loaded()) {
+      return ::executorch::runtime::Error::Ok;
+    }
+    ET_CHECK_OK_OR_RETURN_ERROR(module_->load_method(kImageEncoderMethod));
+    ET_CHECK_OK_OR_RETURN_ERROR(module_->load_method(kTextModelMethod));
+    return ::executorch::runtime::Error::Ok;
+  }
+
+  /**
+   * Check if the required methods in the Module is loaded.
+   * @return True if the Module is loaded, false otherwise.
+   */
+  inline bool is_method_loaded() override {
+    ::executorch::runtime::Result<std::unordered_set<std::string>> methods_res =
+        module_->method_names();
+    if (methods_res.error() != ::executorch::runtime::Error::Ok) {
+      ET_CHECK_MSG(false, "Failed to get method names");
+    }
+    std::unordered_set<std::string> methods = methods_res.get();
+    bool methods_exist = methods.find(kImageEncoderMethod) != methods.end() &&
+        methods.find(kTextModelMethod) != methods.end();
+    if (!methods_exist) {
+      for (const auto& method : methods) {
+        ET_LOG(Error, "Method: %s", method.c_str());
+      }
+      ET_CHECK_MSG(
+          methods_exist,
+          "Missing required methods (%s, %s) in the model",
+          kImageEncoderMethod.c_str(),
+          kTextModelMethod.c_str());
+    }
+    bool methods_loaded = module_->is_method_loaded(kImageEncoderMethod) &&
+        module_->is_method_loaded(kTextModelMethod);
+    return methods_loaded;
+  }
+
+  inline static const std::string kImageEncoderMethod = "image_encoder";
+  inline static const std::string kTextModelMethod = "text_model";
+};
+
+} // namespace example
diff --git a/examples/models/llava/runner/llava_runner.cpp b/examples/models/llava/runner/llava_runner.cpp
new file mode 100644
index 0000000000..b3c0cce5c3
--- /dev/null
+++ b/examples/models/llava/runner/llava_runner.cpp
@@ -0,0 +1,185 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// A simple LLaVA runner that includes preprocessing and post processing logic.
+// The runner takes in a prompt string as well as a list of images as input and
+// emits a string as output.
+
+#include <executorch/examples/models/llava/runner/llava_image_prefiller.h>
+#include <executorch/examples/models/llava/runner/llava_runner.h>
+#include <executorch/examples/models/llava/runner/llava_text_decoder_runner.h>
+#include <executorch/extension/llm/tokenizer/bpe_tokenizer.h>
+
+#include <ctime>
+#include <memory>
+#include <sstream>
+#include <vector>
+
+namespace llm = ::executorch::extension::llm;
+using ::executorch::runtime::Error;
+using ::executorch::runtime::Result;
+
+namespace example {
+
+bool LlavaRunner::is_loaded() {
+  bool instantiated = tokenizer_ && text_decoder_runner_ && text_prefiller_ &&
+      image_prefiller_ && text_token_generator_;
+  if (!instantiated) {
+    return false;
+  }
+  return text_decoder_runner_->is_method_loaded() &&
+      image_prefiller_->is_method_loaded();
+}
+
+Error LlavaRunner::load() {
+  if (is_loaded()) {
+    return Error::Ok;
+  }
+  stats_.model_load_start_ms = llm::time_in_ms();
+
+  // Load the tokenizer
+  tokenizer_ = std::make_unique<llm::BPETokenizer>();
+  tokenizer_->load(tokenizer_path_);
+
+  // Load the text decoder runner
+  text_decoder_runner_ = std::make_unique<LlavaTextDecoderRunner>(
+      module_.get(), tokenizer_->vocab_size(), temperature_);
+  text_decoder_runner_->load();
+
+  // Load the text prefiller
+  text_prefiller_ = std::make_unique<llm::TextPrefiller>(
+      text_decoder_runner_.get(),
+      /*use_kv_cache=*/true,
+      /*enable_parallel_prefill=*/true);
+
+  // Load the image prefiller
+  image_prefiller_ = std::make_unique<LlavaImagePrefiller>(module_.get());
+  image_prefiller_->load();
+
+  // Load the text token generator
+  text_token_generator_ = std::make_unique<llm::TextTokenGenerator>(
+      tokenizer_.get(),
+      text_decoder_runner_.get(),
+      /*use_kv_cache=*/true,
+      std::make_unique<std::unordered_set<uint64_t>>(
+          std::unordered_set<uint64_t>{tokenizer_->eos_tok()}),
+      &stats_);
+
+  stats_.model_load_end_ms = llm::time_in_ms();
+  return Error::Ok;
+}
+
+Error LlavaRunner::prefill_images(
+    std::vector<llm::Image>& images,
+    int64_t& start_pos) {
+  for (auto& image : images) {
+    // pos is updated inside image prefill.
+    ET_UNWRAP(image_prefiller_->prefill(image, start_pos));
+  }
+  return Error::Ok;
+}
+
+Result<uint64_t> LlavaRunner::prefill_prompt(
+    const std::string& prompt,
+    int64_t& start_pos,
+    int8_t bos,
+    int8_t eos) {
+  std::vector<uint64_t> prompt_tokens =
+      ET_UNWRAP(tokenizer_->encode(prompt, bos, eos));
+
+  return text_prefiller_->prefill(prompt_tokens, start_pos);
+}
+
+Error LlavaRunner::generate_from_pos(
+    const std::string& prompt,
+    int32_t seq_len,
+    int64_t start_pos,
+    std::function<void(const std::string&)> token_callback,
+    std::function<void(const ::executorch::extension::llm::Stats&)>
+        stats_callback,
+    bool echo) {
+  // prefill user prompt. No BOS because preset prompt already has it.
+  if (echo) {
+    token_callback(prompt);
+  }
+
+  uint64_t prefill_next_token =
+      ET_UNWRAP(prefill_prompt(prompt, start_pos, /*bos=*/0, /*eos*/ 0));
+  stats_.first_token_ms = llm::time_in_ms();
+  stats_.prompt_eval_end_ms = llm::time_in_ms();
+  stats_.num_prompt_tokens = start_pos;
+
+  // Generate tokens
+  int64_t num_generated_tokens = ET_UNWRAP(text_token_generator_->generate(
+      {prefill_next_token}, start_pos, seq_len, token_callback));
+
+  // Bookkeeping
+  stats_.num_generated_tokens = num_generated_tokens;
+  if (stats_callback) {
+    stats_callback(stats_);
+  }
+  return Error::Ok;
+}
+
+Error LlavaRunner::generate(
+    std::vector<llm::Image> images,
+    const std::string& prompt,
+    int32_t seq_len,
+    std::function<void(const std::string&)> token_callback,
+    std::function<void(const llm::Stats&)> stats_callback,
+    bool echo) {
+  ET_CHECK_MSG(!prompt.empty(), "Prompt cannot be null");
+  if (!is_loaded()) {
+    ET_CHECK_OK_OR_RETURN_ERROR(load());
+  }
+
+  ET_LOG(
+      Info,
+      "RSS after loading model: %f MiB (0 if unsupported)",
+      llm::get_rss_bytes() / 1024.0 / 1024.0);
+
+  // Wrap the token_callback with print function
+  std::function<void(const std::string&)> wrapped_callback =
+      [token_callback](const std::string& piece) {
+        llm::safe_printf(piece.c_str());
+        fflush(stdout);
+        if (token_callback) {
+          token_callback(piece);
+        }
+      };
+
+  int64_t pos = 0;
+  stats_.inference_start_ms = llm::time_in_ms();
+
+  // prefill preset prompt
+  prefill_prompt(kPresetPrompt, pos, /*bos=*/1, /*eos*/ 0);
+
+  // prefill images
+  prefill_images(images, pos);
+
+  ET_LOG(
+      Info,
+      "RSS after prompt and image prefill: %f MiB (0 if unsupported)",
+      llm::get_rss_bytes() / 1024.0 / 1024.0);
+
+  // Generate tokens
+  Error err = generate_from_pos(
+      prompt, seq_len, pos, wrapped_callback, stats_callback, echo);
+
+  stats_.inference_end_ms = llm::time_in_ms();
+  ::executorch::llm::print_report(stats_);
+
+  ET_LOG(
+      Info,
+      "RSS after finishing text generation: %f MiB (0 if unsupported)",
+      llm::get_rss_bytes() / 1024.0 / 1024.0);
+
+  return err;
+}
+
+} // namespace example
diff --git a/examples/models/llava/runner/llava_runner.h b/examples/models/llava/runner/llava_runner.h
new file mode 100644
index 0000000000..79cc22fb24
--- /dev/null
+++ b/examples/models/llava/runner/llava_runner.h
@@ -0,0 +1,93 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// A simple multimodal LLM runner that includes preprocessing and post
+// processing logic.
+#pragma once
+
+#include <cstdint>
+#include <functional>
+#include <memory>
+#include <string>
+#include <type_traits>
+#include <unordered_map>
+
+#include <executorch/extension/llm/runner/multimodal_runner.h>
+
+namespace example {
+
+class LlavaRunner : public ::executorch::extension::llm::MultimodalRunner {
+ public:
+  explicit LlavaRunner(
+      const std::string& model_path,
+      const std::string& tokenizer_path,
+      const float temperature = 0.8f)
+      : MultimodalRunner(model_path, tokenizer_path, temperature){};
+  bool is_loaded();
+  ::executorch::runtime::Error load();
+  ::executorch::runtime::Error generate(
+      std::vector<::executorch::extension::llm::Image> images,
+      const std::string& prompt,
+      int32_t seq_len = 1024,
+      std::function<void(const std::string&)> token_callback = {},
+      std::function<void(const ::executorch::extension::llm::Stats&)>
+          stats_callback = {},
+      bool echo = true);
+
+  /**
+   * Prefill an LLaVA Module with the given images input.
+   * @param images The image input to LLaVA.
+   * @param start_pos The starting position in KV cache of the input in the LLM.
+   * It's passed as reference and will be updated inside this function.
+   * @return The error status of prefilling images.
+   */
+  ::executorch::runtime::Error prefill_images(
+      std::vector<::executorch::extension::llm::Image>& images,
+      int64_t& start_pos);
+
+  /**
+   * Prefill an LLaVA Module with the given text input.
+   * @param prompt The text prompt to LLaVA.
+   * @param start_pos The starting position in KV cache of the input in the LLM.
+   * It's passed as reference and will be updated inside this function.
+   * @param bos The number of BOS (begin of sequence) token.
+   * @param eos The number of EOS (end of sequence) token.
+   * @return The generated token of the LLaVA Module after prefill prompt.
+   */
+  ::executorch::runtime::Result<uint64_t> prefill_prompt(
+      const std::string& prompt,
+      int64_t& start_pos,
+      int8_t bos = 0,
+      int8_t eos = 0);
+
+  /**
+   * Generate tokens from the given prompt, starting from the given position.
+   * @param prompt The text prompt to LLaVA.
+   * @param seq_len The total sequence length, including the prompt tokens and
+   * new tokens.
+   * @param start_pos The starting position in KV cache of the input in the LLM.
+   * @param token_callback What to do after a token is generated.
+   * @param stats_callback What to do with Stats.
+   * @param echo Whether to echo the input prompt or not.
+   * @return The error code.
+   */
+  ::executorch::runtime::Error generate_from_pos(
+      const std::string& prompt,
+      int32_t seq_len = 1024,
+      int64_t start_pos = 0,
+      std::function<void(const std::string&)> token_callback = {},
+      std::function<void(const ::executorch::extension::llm::Stats&)>
+          stats_callback = {},
+      bool echo = true);
+
+ private:
+  inline static const std::string kPresetPrompt =
+      "A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions. USER: ";
+};
+
+} // namespace example
diff --git a/examples/models/llava/runner/llava_text_decoder_runner.h b/examples/models/llava/runner/llava_text_decoder_runner.h
new file mode 100644
index 0000000000..b2ee56f321
--- /dev/null
+++ b/examples/models/llava/runner/llava_text_decoder_runner.h
@@ -0,0 +1,93 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// Given inputs, run a text decoder in Llava and return the output.
+
+#pragma once
+
+#include <executorch/extension/llm/runner/text_decoder_runner.h>
+
+namespace example {
+
+class LlavaTextDecoderRunner
+    : public executorch::extension::llm::TextDecoderRunner {
+ public:
+  LlavaTextDecoderRunner(
+      executorch::extension::Module* module,
+      int32_t vocab_size,
+      float temperature)
+      : TextDecoderRunner(module, true, vocab_size, temperature){};
+
+  inline executorch::runtime::Result<exec_aten::Tensor> step(
+      executorch::extension::TensorPtr& tokens,
+      executorch::extension::TensorPtr& start_pos) override {
+    // run token embedding
+    auto token_embedding_outputs =
+        ET_UNWRAP(module_->execute(kTokenEmbeddingMethod, tokens));
+
+    // run text model
+    auto outputs_res = ET_UNWRAP(module_->execute(
+        kTextModelMethod, {start_pos, token_embedding_outputs[0]}));
+
+    ET_CHECK_MSG(
+        outputs_res.size() == 1,
+        "More then one output returned from executing LLM.");
+    ET_CHECK_MSG(
+        outputs_res[0].isTensor(),
+        "Non Tensor Output returned from executing LLM");
+
+    // Return the logits tensor
+    return outputs_res[0].toTensor();
+  }
+
+  /**
+   * Load the Module for text decode purpose.
+   * @return The error code.
+   */
+  inline executorch::runtime::Error load() override {
+    if (is_method_loaded()) {
+      return executorch::runtime::Error::Ok;
+    }
+    ET_CHECK_OK_OR_RETURN_ERROR(module_->load_method(kTokenEmbeddingMethod));
+    ET_CHECK_OK_OR_RETURN_ERROR(module_->load_method(kTextModelMethod));
+    return executorch::runtime::Error::Ok;
+  }
+
+  /**
+   * Check if the required methods in the Module is loaded.
+   * @return True if the Module is loaded, false otherwise.
+   */
+  inline bool is_method_loaded() override {
+    executorch::runtime::Result<std::unordered_set<std::string>> methods_res =
+        module_->method_names();
+    if (methods_res.error() != executorch::runtime::Error::Ok) {
+      ET_CHECK_MSG(false, "Failed to get method names");
+    }
+    std::unordered_set<std::string> methods = methods_res.get();
+    bool methods_exist = methods.find(kTokenEmbeddingMethod) != methods.end() &&
+        methods.find(kTextModelMethod) != methods.end();
+    if (!methods_exist) {
+      for (const auto& method : methods) {
+        ET_LOG(Error, "Method: %s", method.c_str());
+      }
+      ET_CHECK_MSG(
+          methods_exist,
+          "Missing required methods (%s, %s) in the model",
+          kTokenEmbeddingMethod.c_str(),
+          kTextModelMethod.c_str());
+    }
+    bool methods_loaded = module_->is_method_loaded(kTokenEmbeddingMethod) &&
+        module_->is_method_loaded(kTextModelMethod);
+    return methods_loaded;
+  }
+
+  inline static const std::string kTokenEmbeddingMethod = "token_embedding";
+  inline static const std::string kTextModelMethod = "text_model";
+};
+
+} // namespace example
diff --git a/examples/models/llava/runner/targets.bzl b/examples/models/llava/runner/targets.bzl
new file mode 100644
index 0000000000..c7523d6cc4
--- /dev/null
+++ b/examples/models/llava/runner/targets.bzl
@@ -0,0 +1,25 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    runtime.cxx_library(
+        name = "runner",
+        srcs = ["llava_runner.cpp"],
+        exported_headers = ["llava_runner.h", "llava_image_prefiller.h", "llava_text_decoder_runner.h"],
+        visibility = [
+            "@EXECUTORCH_CLIENTS",
+        ],
+        compiler_flags = [
+            "-Wno-global-constructors",
+        ],
+        exported_deps = [
+            "//executorch/backends/xnnpack:xnnpack_backend",
+            "//executorch/extension/llm/runner:runner_lib",
+            "//executorch/extension/llm/tokenizer:bpe_tokenizer",
+            "//executorch/extension/evalue_util:print_evalue",
+            "//executorch/extension/module:module",
+            "//executorch/extension/tensor:tensor",
+            "//executorch/kernels/quantized:generated_lib",
+            "//executorch/runtime/core/exec_aten:lib",
+            "//executorch/runtime/core/exec_aten/util:tensor_util",
+        ],
+    )
diff --git a/examples/models/llava/test/test_llava.py b/examples/models/llava/test/test_llava.py
index ce0a527bc9..2e50bcecf4 100644
--- a/examples/models/llava/test/test_llava.py
+++ b/examples/models/llava/test/test_llava.py
@@ -8,9 +8,19 @@
 import unittest
 
 import torch
+from executorch.examples.models.llava.export_llava import export_all
 
 from executorch.examples.models.llava.model import LlavaModel
 
+# import order matters. We need to import portable_lib first since it contains the static op registry
+# which will be used in the import of custom ops. Otherwise, the registration of custom ops will be skipped.
+# I don't know how to mute UFMT so I'm just using if True: to avoid the error
+from executorch.extension.pybindings.portable_lib import (
+    _load_for_executorch_from_buffer,
+)
+from executorch.extension.llm.custom_ops import sdpa_with_kv_cache  # noqa # usort: skip
+from executorch.kernels import quantized  # noqa # usort: skip
+
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 
@@ -24,12 +34,14 @@ def setUp(self):
         )
 
     def test_prefill_logits(self):
-        prefill_logits = self.llava.prefill(
+        # For efficiency, the implemented prefill function only outputs the last logits.
+        _, prefill_logits = self.llava.prefill(
             self.prompt_before_image, self.resized, self.prompt_after_image
         )
+        # The reference implementation in HF genetates the full logits. Get the last one.
         prefill_logits_ref = self.llava.prefill_ref(
             self.prompt_before_image, self.resized, self.prompt_after_image
-        )[0]
+        )[0][:, -1, :]
         self.assertTrue(torch.allclose(prefill_logits, prefill_logits_ref, atol=3e-2))
 
     def test_generated_output(self):
@@ -38,24 +50,24 @@ def test_generated_output(self):
         with torch.inference_mode():
             output_ids = self.llava_model.model.generate(
                 self.llava_model.input_ids,
-                images=preprocessed,
-                image_sizes=[preprocessed.size],
+                pixel_values=preprocessed,
                 do_sample=False,
                 num_beams=1,
                 max_new_tokens=5,
                 use_cache=True,
             )
-
+        # the output includes prompt, removing it
+        output_ids = output_ids[:, -5:]
         ref_outputs = self.llava_model.tokenizer.batch_decode(
             output_ids, skip_special_tokens=True
         )[0].strip()
 
         # being tested, using llama_transformer
-        prefill_logits = self.llava.prefill(
+        context_len, prefill_logits = self.llava.prefill(
             self.prompt_before_image, self.resized, self.prompt_after_image
         )
-        context_len = prefill_logits.shape[1]
-        new_tokens = [torch.argmax(prefill_logits[..., -1, :]).item()]
+        # Always generate one token at a time.
+        new_tokens = [torch.argmax(prefill_logits).item()]
         for i in range(4):
             logits = self.llava.step(
                 torch.tensor([new_tokens[i]]), torch.tensor([context_len + i])
@@ -66,3 +78,73 @@ def test_generated_output(self):
             torch.tensor([new_tokens]), skip_special_tokens=True
         )[0].strip()
         self.assertEqual(outputs, ref_outputs)
+
+    def test_llava_export(self):
+        # export llava and make sure e2e works
+        llava_model = LlavaModel(use_sdpa_with_kv_cache_op=True)
+
+        prompt_before_image, resized, prompt_after_image = (
+            llava_model.get_inputs_for_prefill()
+        )
+        executorch_program = export_all(llava_model)
+        llava_module = _load_for_executorch_from_buffer(executorch_program.buffer)
+
+        start_pos = 0
+        # pte prefill prompt before img
+        pte_embeds_before_img = llava_module.run_method(
+            "token_embedding", (prompt_before_image,)
+        )[0]
+        llava_module.run_method(
+            "text_model",
+            (torch.tensor([start_pos], dtype=torch.int64), pte_embeds_before_img),
+        )
+
+        # Update the start_pos. start_pos is used in kv cache. The source of truth
+        # of the delta length is from the embeddings, not from the logits.
+        start_pos += pte_embeds_before_img.shape[1]
+
+        # pte prefill image
+        pte_embeds_img = llava_module.run_method("image_encoder", (resized,))[0]
+        llava_module.run_method(
+            "text_model",
+            (
+                torch.tensor([start_pos], dtype=torch.int64),
+                pte_embeds_img,
+            ),
+        )
+
+        # Update the logits for each prefill (kv cache) step.
+        start_pos += pte_embeds_img.shape[1]
+
+        # pte prefill prompt after img
+        pte_embeds_after_img = llava_module.run_method(
+            "token_embedding", (prompt_after_image,)
+        )[0]
+        pte_prefill_after_img = llava_module.run_method(
+            "text_model",
+            (torch.tensor([start_pos], dtype=torch.int64), pte_embeds_after_img),
+        )[0]
+
+        # Update the logits for each prefill (kv cache) step.
+        start_pos += pte_embeds_after_img.shape[1]
+
+        # being tested, using llama_transformer
+        new_tokens = [torch.argmax(pte_prefill_after_img).item()]
+        # TODO: uncomment this line
+        # self.assertEquals(new_tokens[0], 1932)  # When
+        for i in range(4):
+            print(i, llava_model.tokenizer.decode(new_tokens[i]))
+            token_embeds = llava_module.run_method(
+                "token_embedding", (torch.tensor([[new_tokens[i]]], dtype=torch.int64),)
+            )[0]
+            logits = llava_module.run_method(
+                "text_model",
+                (torch.tensor([start_pos + i], dtype=torch.int64), token_embeds),
+            )[0]
+            new_tokens.append(torch.argmax(logits).item())
+
+        outputs = llava_model.tokenizer.batch_decode(
+            torch.tensor([new_tokens]), skip_special_tokens=True
+        )[0].strip()
+        print(outputs)
+        self.assertEqual(len(new_tokens), 5)
diff --git a/examples/models/llava/test/test_pte.py b/examples/models/llava/test/test_pte.py
new file mode 100644
index 0000000000..003b2b5675
--- /dev/null
+++ b/examples/models/llava/test/test_pte.py
@@ -0,0 +1,106 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import logging
+import sys
+
+import torch
+from executorch.examples.models.llava.image_util import prepare_image
+from executorch.examples.models.llava.model import LlavaModel
+from executorch.extension.pybindings.portable_lib import _load_for_executorch
+from PIL import Image
+
+# Custom ops has to be loaded after portable_lib.
+from executorch.extension.llm.custom_ops import sdpa_with_kv_cache  # noqa # usort: skip
+from executorch.kernels import quantized  # noqa # usort: skip
+
+FORMAT = "[%(levelname)s %(asctime)s %(filename)s:%(lineno)s] %(message)s"
+logging.basicConfig(level=logging.DEBUG, format=FORMAT)
+
+
+def main():
+    args = sys.argv[1:]
+    if len(args) == 0:
+        print(
+            "Usage: python test_pte.py <model_path> <image_path?>. If no image, will use default image."
+        )
+        sys.exit(1)
+
+    llava_module = _load_for_executorch(args[0])
+
+    llava_model = LlavaModel()
+
+    prompt_before_image, resized, prompt_after_image = (
+        llava_model.get_inputs_for_prefill()
+    )
+    if len(args) == 2:
+        image_path = args[1]
+        image = Image.open(image_path)
+        resized = prepare_image(image, target_h=336, target_w=336)
+
+    start_pos = 0
+    # pte prefill prompt before img
+    pte_embeds_before_img = llava_module.run_method(
+        "token_embedding", (prompt_before_image,)
+    )[0]
+    pte_prefill_before_img = llava_module.run_method(
+        "text_model",
+        (torch.tensor([start_pos], dtype=torch.int64), pte_embeds_before_img),
+    )[0]
+    print(pte_prefill_before_img)
+
+    start_pos += prompt_before_image.shape[1]
+
+    # pte prefill image
+    logging.warning("Image encoder started")
+    pte_embeds_img = llava_module.run_method("image_encoder", (resized,))[0]
+    logging.warning("Image encoder finished")
+    logging.warning("Image token prefill started")
+    pte_prefill_img = llava_module.run_method(
+        "text_model",
+        (
+            torch.tensor([start_pos], dtype=torch.int64),
+            pte_embeds_img,
+        ),
+    )[0]
+    logging.warning("Image token prefill finished")
+    print(pte_prefill_img)
+
+    start_pos += pte_embeds_img.shape[1]
+
+    # pte prefill prompt after img
+    logging.warning("Text token prefill started")
+    pte_embeds_after_img = llava_module.run_method(
+        "token_embedding", (prompt_after_image,)
+    )[0]
+    pte_prefill_after_img = llava_module.run_method(
+        "text_model",
+        (torch.tensor([start_pos], dtype=torch.int64), pte_embeds_after_img),
+    )[0]
+    logging.warning("Text token prefill finished")
+    print(pte_prefill_after_img)
+
+    # being tested, using llama_transformer
+    new_tokens = [torch.argmax(pte_prefill_after_img[..., -1, :]).item()]
+    for i in range(4):
+        print(i, llava_model.tokenizer.decode(new_tokens[i]))
+        token_embeds = llava_module.run_method(
+            "token_embedding", (torch.tensor([[new_tokens[i]]], dtype=torch.int64),)
+        )[0]
+        logits = llava_module.run_method(
+            "text_model",
+            (torch.tensor([start_pos + i], dtype=torch.int64), token_embeds),
+        )[0]
+        new_tokens.append(torch.argmax(logits[..., -1, :]).item())
+
+    outputs = llava_model.tokenizer.batch_decode(
+        torch.tensor([new_tokens]), skip_special_tokens=True
+    )[0].strip()
+    print(outputs)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/examples/models/phi-3-mini-lora/README.md b/examples/models/phi-3-mini-lora/README.md
new file mode 100644
index 0000000000..92f23f137b
--- /dev/null
+++ b/examples/models/phi-3-mini-lora/README.md
@@ -0,0 +1,29 @@
+## Summary
+In this example, we showcase how to export a model ([phi-3-mini](https://github.com/pytorch/executorch/tree/main/examples/models/phi-3-mini)) appended with LoRA layers to ExecuTorch. The model is exported to ExecuTorch for both inference and training.
+
+To see how you can use the model exported for training in a fully involved finetuning loop, please see our example on [LLM PTE Fintetuning](https://github.com/pytorch/executorch/tree/main/examples/llm_pte_finetuning).
+
+## Instructions
+### Step 1: [Optional] Install ExecuTorch dependencies
+`./install_requirements.sh` in ExecuTorch root directory.
+
+### Step 2: Install Requirements
+- `./examples/models/phi-3-mini-lora/install_requirements.sh`
+
+### Step 3: Export and run the model
+1. Export the inferenace and training models to ExecuTorch.
+```
+python export_model.py
+```
+
+2. Run the inference model using an example runtime. For more detailed steps on this, check out [Build & Run](https://pytorch.org/executorch/stable/getting-started-setup.html#build-run).
+```
+# Clean and configure the CMake build system. Compiled programs will appear in the executorch/cmake-out directory we create here.
+(rm -rf cmake-out && mkdir cmake-out && cd cmake-out && cmake ..)
+
+# Build the executor_runner target
+cmake --build cmake-out --target executor_runner -j9
+
+# Run the model for inference.
+./cmake-out/executor_runner --model_path phi3_mini_lora.pte
+```
diff --git a/examples/models/phi-3-mini-lora/export_model.py b/examples/models/phi-3-mini-lora/export_model.py
new file mode 100644
index 0000000000..e6f291bd58
--- /dev/null
+++ b/examples/models/phi-3-mini-lora/export_model.py
@@ -0,0 +1,144 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import torch
+from executorch.exir import to_edge
+from torch import int64, long, no_grad, randint, Tensor, zeros
+from torch.export import export, ExportedProgram
+from torch.export.experimental import _export_forward_backward
+from torch.nn.attention import sdpa_kernel, SDPBackend
+from torchtune.models.phi3._model_builders import lora_phi3_mini
+from torchtune.modules.peft import get_adapter_params, set_trainable_params
+
+vocab_size = 32064
+
+
+class TrainingModule(torch.nn.Module):
+    """
+    The model being trained should return the loss from forward(). This
+    class wraps the actual phi3-mini model and calculates an arbitrary
+    loss with its forward() output.
+    """
+
+    def __init__(self, model, loss):
+        super().__init__()
+        self.model = model
+        self.loss = loss
+
+    def forward(self, input: torch.Tensor, labels: torch.Tensor) -> torch.Tensor:
+        # Output is of the shape (seq_len, vocab_size).
+        logits = self.model(input)
+        logits = logits[..., :-1, :].contiguous()
+        labels = labels[..., 1:].contiguous()
+        logits = logits.transpose(1, 2)
+        return self.loss(logits, labels)
+
+
+@no_grad()
+def export_phi3_mini_lora(model) -> None:
+    """
+    Export the example phi3-mini with LoRA model to executorch.
+
+    Note: need to use the SDPBackend's custom kernel for sdpa (scalable
+    dot product attention) because the default sdpa kernel used in the
+    model results in a internally mutating graph.
+    """
+    model.eval()
+    # 1. torch.export: Defines the program with the ATen operator set.
+    print("Exporting to aten dialect")
+    batch_size = 1
+    vocab_size = 100
+    seq_len = 10
+    tokens = randint(0, vocab_size, (batch_size, seq_len), dtype=long)
+    example_args = (tokens,)
+    with sdpa_kernel([SDPBackend.MATH]):
+        aten_dialect: ExportedProgram = export(model, example_args)
+
+        # 2. to_edge: Make optimizations for Edge devices.
+        print("Lowering to edge dialect")
+        edge_program = to_edge(aten_dialect)
+
+    # 3. to_executorch: Convert the graph to an ExecuTorch program.
+    print("Exporting to executorch")
+    executorch_program = edge_program.to_executorch()
+
+    # 4. Save the compiled .pte program.
+    print("Saving to phi3_mini_lora.pte")
+    with open("phi3_mini_lora.pte", "wb") as file:
+        file.write(executorch_program.buffer)
+
+    print("Done.")
+
+
+def export_phi3_mini_lora_training(model) -> None:
+    """
+    Export the example phi3-mini with LoRA model to executorch for training, only.
+    """
+
+    # 0. Mark the LoRA layers as trainable (requires_grad = True) in order
+    # to just export the backwards pass for these layers later in the
+    # export process.
+    set_trainable_params(model, get_adapter_params(model))
+
+    print("Exporting phi3-mini with LoRA for training")
+    # 1. torch.export: Defines the program with the ATen operator set.
+    print("Exporting to aten dialect")
+    batch_size = 1
+    vocab_size = 100
+    seq_len = 10
+    tokens = randint(0, vocab_size, (batch_size, seq_len), dtype=long)
+    labels = tokens
+    example_args = (tokens, labels)
+    with sdpa_kernel([SDPBackend.MATH]):
+        exported_graph: ExportedProgram = export(model, example_args)
+        print("Creating a joint forward-backwards graph for training")
+        joint_graph = _export_forward_backward(exported_graph)
+
+        # 2. to_edge: Make optimizations for Edge devices.
+        print("Lowering to edge dialect")
+        edge_program = to_edge(joint_graph)
+
+        print(edge_program._edge_programs["forward"].graph_module)
+
+    # 3. to_executorch: Convert the graph to an ExecuTorch program.
+    print("Exporting to executorch")
+    executorch_program = edge_program.to_executorch()
+
+    # 4. Save the compiled .pte program.
+    print("Saving to phi3_mini_lora_training.pte")
+    with open("phi3_mini_lora_training.pte", "wb") as file:
+        file.write(executorch_program.buffer)
+
+    print("Done.")
+
+
+def run_phi3_mini_lora(model) -> Tensor:
+    """Run the model and return the result."""
+    # Input shape: (batch_size, seq_len).
+    args = zeros((1, 10), dtype=int64)
+    model.eval()
+    res = model(args)
+    return res
+
+
+def main() -> None:
+    print("Main")
+    lora_model = lora_phi3_mini(
+        lora_attn_modules=[
+            "q_proj",
+        ]
+    )
+
+    # Export for inference.
+    export_phi3_mini_lora(lora_model)
+
+    # Export for training.
+    lora_training_model = TrainingModule(lora_model, torch.nn.CrossEntropyLoss())
+    export_phi3_mini_lora_training(lora_training_model)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/examples/models/phi-3-mini-lora/install_requirements.sh b/examples/models/phi-3-mini-lora/install_requirements.sh
new file mode 100755
index 0000000000..c8aa428fe3
--- /dev/null
+++ b/examples/models/phi-3-mini-lora/install_requirements.sh
@@ -0,0 +1,14 @@
+#!/bin/bash
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+pip install torchvision
+pip install torchtune
+pip install tiktoken
+
+# Install torchao.
+TORCHAO_VERSION=$(cat "$(dirname "$0")"/../../../.ci/docker/ci_commit_pins/torchao.txt)
+pip install --no-use-pep517 --user "git+https://github.com/pytorch/ao.git@${TORCHAO_VERSION}"
diff --git a/examples/models/phi-3-mini/CMakeLists.txt b/examples/models/phi-3-mini/CMakeLists.txt
index 5dddf7eb71..e1ffd0da05 100644
--- a/examples/models/phi-3-mini/CMakeLists.txt
+++ b/examples/models/phi-3-mini/CMakeLists.txt
@@ -4,6 +4,15 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# ### Editing this file ###
+#
+# This file should be formatted with
+# ~~~
+# cmake-format -i CMakeLists.txt
+# ~~~
+# It should also be cmake-lint clean.
+#
+
 cmake_minimum_required(VERSION 3.19)
 project(phi_3_mini_runner)
 
@@ -14,26 +23,31 @@ set(CMAKE_BUILD_TYPE Release)
 # Set options for executorch build.
 option(EXECUTORCH_BUILD_EXTENSION_DATA_LOADER "" ON)
 option(EXECUTORCH_BUILD_EXTENSION_MODULE "" ON)
+option(EXECUTORCH_BUILD_EXTENSION_TENSOR "" ON)
 option(EXECUTORCH_BUILD_KERNELS_OPTIMIZED "" ON)
 option(EXECUTORCH_BUILD_XNNPACK "" ON)
 
 add_subdirectory(
-    ${CMAKE_CURRENT_SOURCE_DIR}/../../..
-    ${CMAKE_BINARY_DIR}/../../..)
-add_subdirectory(
-    ${CMAKE_CURRENT_SOURCE_DIR}/../../../extension/llm/third-party/sentencepiece
-    ${CMAKE_BINARY_DIR}/sentencepiece)
+  ${CMAKE_CURRENT_SOURCE_DIR}/../../.. ${CMAKE_BINARY_DIR}/../../..
+)
+if(NOT TARGET gflags)
+  add_subdirectory(
+    ${CMAKE_CURRENT_SOURCE_DIR}/../../../third-party/gflags
+    ${CMAKE_BINARY_DIR}/gflags
+  )
+endif()
 
-add_executable(phi_3_mini_runner main.cpp)
+add_executable(
+  phi_3_mini_runner
+  main.cpp runner.cpp
+  ${CMAKE_CURRENT_SOURCE_DIR}/../../../extension/llm/sampler/sampler.cpp
+  ${CMAKE_CURRENT_SOURCE_DIR}/../../../extension/llm/tokenizer/bpe_tokenizer.cpp
+)
 target_include_directories(
-    phi_3_mini_runner
-    PUBLIC
-    ${CMAKE_CURRENT_SOURCE_DIR}/../../../extension/llm/third-party/sentencepiece/src)
+  phi_3_mini_runner
+  PUBLIC ${CMAKE_CURRENT_SOURCE_DIR}/../../../third-party/gflags/src
+)
 target_link_libraries(
-    phi_3_mini_runner
-    PRIVATE
-    executorch
-    extension_module_static
-    optimized_native_cpu_ops_lib
-    xnnpack_backend
-    sentencepiece)
+  phi_3_mini_runner PRIVATE executorch extension_module_static extension_tensor
+                            optimized_native_cpu_ops_lib xnnpack_backend gflags
+)
diff --git a/examples/models/phi-3-mini/README.md b/examples/models/phi-3-mini/README.md
index a1ae78941b..e5a86c4177 100644
--- a/examples/models/phi-3-mini/README.md
+++ b/examples/models/phi-3-mini/README.md
@@ -4,23 +4,63 @@ This example demonstrates how to run a [Phi-3-mini](https://huggingface.co/micro
 # Instructions
 ## Step 1: Setup
 1. Follow the [tutorial](https://pytorch.org/executorch/main/getting-started-setup) to set up ExecuTorch. For installation run `./install_requirements.sh --pybind xnnpack`
-
+2. Currently, we support transformers v4.44.2. Install transformers with the following command:
+```
+pip uninstall -y transformers ; pip install transformers==4.44.2
+```
 ## Step 2: Prepare and run the model
-1. Download the `tokenizer.model` from HuggingFace.
+1. Download the `tokenizer.model` from HuggingFace and create `tokenizer.bin`.
 ```
-cd examples/models/phi-3-mini
-wget -O tokenizer.model https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/tokenizer.model?download=true
+cd executorch
+wget -O tokenizer.model "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/tokenizer.model?download=true"
+python -m extension.llm.tokenizer.tokenizer -t tokenizer.model -o tokenizer.bin
 ```
 2. Export the model. This step will take a few minutes to finish.
 ```
-python3 export_phi-3-mini.py
+python -m examples.models.phi-3-mini.export_phi-3-mini -c "4k" -s 128 -o phi-3-mini.pte
+```
+3. Build and run the model.
+- Build executorch with optimized CPU performance as follows. Build options available [here](https://github.com/pytorch/executorch/blob/main/CMakeLists.txt#L59).
+ ```
+ cmake -DPYTHON_EXECUTABLE=python \
+     -DCMAKE_INSTALL_PREFIX=cmake-out \
+     -DEXECUTORCH_ENABLE_LOGGING=1 \
+     -DCMAKE_BUILD_TYPE=Release \
+     -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
+     -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+     -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
+     -DEXECUTORCH_BUILD_XNNPACK=ON \
+     -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
+     -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
+     -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
+     -Bcmake-out .
+
+ cmake --build cmake-out -j16 --target install --config Release
+ ```
+- Build Phi-3-mini runner.
+```
+cmake -DPYTHON_EXECUTABLE=python \
+    -DCMAKE_INSTALL_PREFIX=cmake-out \
+    -DCMAKE_BUILD_TYPE=Release \
+    -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
+    -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
+    -DEXECUTORCH_BUILD_XNNPACK=ON \
+    -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
+    -Bcmake-out/examples/models/phi-3-mini \
+    examples/models/phi-3-mini
+
+cmake --build cmake-out/examples/models/phi-3-mini -j16 --config Release
 ```
-3. Build and run the runner.
+- Run model. Options available [here](https://github.com/pytorch/executorch/blob/main/examples/models/phi-3-mini/main.cpp#L13-L30)
 ```
-mkdir cmake-out
-cd cmake-out
-cmake ..
-cd ..
-cmake --build cmake-out -j10
-./cmake-out/phi_3_mini_runner
+cmake-out/examples/models/phi-3-mini/phi_3_mini_runner \
+    --model_path=phi-3-mini.pte \
+    --tokenizer_path=tokenizer.bin \
+    --seq_len=128 \
+    --temperature=0 \
+    --prompt="<|system|>
+You are a helpful assistant.<|end|>
+<|user|>
+What is the capital of France?<|end|>
+<|assistant|>"
 ```
diff --git a/examples/models/phi-3-mini/__init__.py b/examples/models/phi-3-mini/__init__.py
new file mode 100644
index 0000000000..6940879375
--- /dev/null
+++ b/examples/models/phi-3-mini/__init__.py
@@ -0,0 +1,11 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+from .phi_3_mini import Phi3Mini
+
+__all__ = [
+    Phi3Mini,
+]
diff --git a/examples/models/phi-3-mini/eager.py b/examples/models/phi-3-mini/eager.py
index a2aeb8415c..8b57b5a24c 100644
--- a/examples/models/phi-3-mini/eager.py
+++ b/examples/models/phi-3-mini/eager.py
@@ -14,6 +14,8 @@
 
 from transformers import AutoTokenizer, Phi3ForCausalLM
 
+from .phi_3_mini import Phi3Mini
+
 end_of_text_token = 32000
 
 
@@ -40,24 +42,18 @@ def _generate_token(args, model, prompt_tokens):
 def _generate_token_with_kv_cache(args, model, prompt_tokens):
     print("Generating tokens:", end="", flush=True)
 
-    result = model.forward(input_ids=prompt_tokens, use_cache=True, return_dict=True)
-
-    current_token = torch.argmax(result.logits[:, -1, :], dim=-1).item()
-    current_key_value = result.past_key_values
+    model = Phi3Mini(model, 1, args.seq_len + prompt_tokens.shape[-1])
+    result = model.forward(input_ids=prompt_tokens)
 
+    current_token = torch.argmax(result, dim=-1).item()
     print(f" {current_token}", end="", flush=True)
-
     generated_tokens = [current_token]
 
     while current_token != end_of_text_token and len(generated_tokens) < args.seq_len:
         result = model.forward(
             input_ids=torch.tensor([[current_token]], dtype=torch.long),
-            use_cache=True,
-            return_dict=True,
-            past_key_values=current_key_value,
         )
-        current_token = torch.argmax(result.logits[:, -1, :], dim=-1).item()
-        current_key_value = result.past_key_values
+        current_token = torch.argmax(result, dim=-1).item()
         print(f" {current_token}", end="", flush=True)
         generated_tokens.append(current_token)
 
diff --git a/examples/models/phi-3-mini/export_phi-3-mini.py b/examples/models/phi-3-mini/export_phi-3-mini.py
index cb20a36510..c2e97a21b1 100644
--- a/examples/models/phi-3-mini/export_phi-3-mini.py
+++ b/examples/models/phi-3-mini/export_phi-3-mini.py
@@ -4,6 +4,9 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+
+import argparse
+
 import torch
 
 from executorch.backends.transforms.duplicate_dynamic_quant_chain import (
@@ -22,50 +25,96 @@
 
 from transformers import Phi3ForCausalLM
 
+from .phi_3_mini import Phi3Mini
 
-def main() -> None:
+
+def export(args) -> None:
     torch.manual_seed(0)
 
-    # pyre-ignore: Undefined attribute [16]: Module `transformers` has no attribute `Phi3ForCausalLM`
-    model = Phi3ForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct")
+    if args.context_length == "4k":
+        model_name = "microsoft/Phi-3-mini-4k-instruct"
+    elif args.context_length == "128k":
+        model_name = "microsoft/Phi-3-mini-128k-instruct"
+    else:
+        raise Exception(
+            f"Invalid context length {args.context_length}. Should be either 4k or 128k"
+        )
 
-    example_inputs = (torch.randint(0, 100, (1, 100), dtype=torch.long),)
-    dynamic_shape = {"input_ids": {1: torch.export.Dim("sequence_length", max=128)}}
+    with torch.no_grad():
+        model = Phi3Mini(
+            # pyre-ignore: Undefined attribute [16]: Module `transformers` has no attribute `Phi3ForCausalLM`
+            model=Phi3ForCausalLM.from_pretrained(model_name),
+            max_batch_size=1,
+            max_seq_len=args.seq_len,
+        )
+        example_inputs = (
+            torch.tensor(
+                [[1048, 263, 931, 746]], dtype=torch.long, requires_grad=False
+            ),
+        )
+        dynamic_shapes = {
+            "input_ids": {
+                1: torch.export.Dim("sequence_length", min=1, max=args.seq_len)
+            }
+        }
 
-    xnnpack_quant_config = get_symmetric_quantization_config(
-        is_per_channel=True, is_dynamic=True
-    )
-    xnnpack_quantizer = XNNPACKQuantizer()
-    xnnpack_quantizer.set_global(xnnpack_quant_config)
+        xnnpack_quant_config = get_symmetric_quantization_config(
+            is_per_channel=True, is_dynamic=True
+        )
+        xnnpack_quantizer = XNNPACKQuantizer()
+        xnnpack_quantizer.set_global(xnnpack_quant_config)
 
-    with torch.nn.attention.sdpa_kernel(
-        [torch.nn.attention.SDPBackend.MATH]
-    ), torch.no_grad():
         model = capture_pre_autograd_graph(
-            model, example_inputs, dynamic_shapes=dynamic_shape
+            model, example_inputs, dynamic_shapes=dynamic_shapes
         )
-        model = prepare_pt2e(model, xnnpack_quantizer)
+        model = prepare_pt2e(model, xnnpack_quantizer)  # pyre-fixme[6]
         model(*example_inputs)
-        model = convert_pt2e(model, fold_quantize=False)
+        model = convert_pt2e(model)
         DuplicateDynamicQuantChainPass()(model)
         # TODO(lunwenh): update it to use export once
         # https://github.com/pytorch/pytorch/issues/128394 is resolved.
         model = torch.export._trace._export(
             model,
             example_inputs,
-            dynamic_shapes=dynamic_shape,
+            dynamic_shapes=dynamic_shapes,
             strict=False,
             pre_dispatch=False,
         )
 
     edge_config = get_xnnpack_edge_compile_config()
     edge_manager = to_edge(model, compile_config=edge_config)
-    edge_manager = edge_manager.to_backend(XnnpackPartitioner(has_dynamic_shapes=True))
+    edge_manager = edge_manager.to_backend(XnnpackPartitioner())
     et_program = edge_manager.to_executorch()
 
-    with open("phi-3-mini.pte", "wb") as file:
+    with open(args.output_name, "wb") as file:
         file.write(et_program.buffer)
 
 
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "-c",
+        "--context_length",
+        type=str,
+        default="4k",
+        choices=["4k", "128k"],
+        help="Phi-3-mini provides two context length variants: 4k and 128k",
+    )
+    parser.add_argument(
+        "-s",
+        "--seq_len",
+        type=int,
+        default=128,
+        help="Maximum number of tokens including prompt to generate",
+    )
+    parser.add_argument(
+        "-o",
+        "--output_name",
+        default="phi-3-mini.pte",
+        help="Override the output filename of the saved pte model file.",
+    )
+    export(parser.parse_args())
+
+
 if __name__ == "__main__":
     main()
diff --git a/examples/models/phi-3-mini/main.cpp b/examples/models/phi-3-mini/main.cpp
index 0158c95ad8..7aedcb75b2 100644
--- a/examples/models/phi-3-mini/main.cpp
+++ b/examples/models/phi-3-mini/main.cpp
@@ -6,85 +6,45 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-// main.cpp
+#include <gflags/gflags.h>
 
-#include <iostream>
+#include <executorch/examples/models/phi-3-mini/runner.h>
 
-#include <executorch/extension/module/module.h>
-#include <executorch/extension/runner_util/managed_tensor.h>
+DEFINE_string(
+    model_path,
+    "phi-3-mini.pte",
+    "File path for model serialized in flatbuffer format.");
 
-#include "sentence_piece_tokenizer.h"
+DEFINE_string(tokenizer_path, "tokenizer.bin", "File path for tokenizer.");
 
-using namespace torch::executor;
+DEFINE_string(prompt, "Tell me a story", "Prompt.");
 
-// The value of the phi-3-mini `<|endoftext|>` token.
-#define ENDOFTEXT_TOKEN 32000
-#define VOCABULARY_SIZE 32064
+DEFINE_double(
+    temperature,
+    0.8f,
+    "Temperature; Default is 0.8f. 0 = greedy argmax sampling (deterministic). Lower temperature = more deterministic");
 
-// TODO(lunwenh): refactor and share with llama
-void generate(
-    Module& llm_model,
-    std::string& prompt,
-    SentencePieceTokenizer& tokenizer,
-    size_t max_output_length) {
-  // Convert the input text into a list of integers (tokens) that represents
-  // it, using the string-to-token mapping that the model was trained on.
-  // Each token is an integer that represents a word or part of a word.
-  std::vector<int64_t> input_tokens = tokenizer.encode(prompt);
+DEFINE_int32(
+    seq_len,
+    128,
+    "Total number of tokens to generate (prompt + output).");
 
-  std::cout << "Generating tokens ..." << std::endl;
+int main(int32_t argc, char** argv) {
+  gflags::ParseCommandLineFlags(&argc, &argv, true);
 
-  std::vector<int64_t> output_tokens;
+  const char* model_path = FLAGS_model_path.c_str();
 
-  for (size_t i = 0; i < max_output_length; i++) {
-    ManagedTensor tensor_tokens(
-        input_tokens.data(),
-        {1, static_cast<int>(input_tokens.size())},
-        ScalarType::Long);
-    std::vector<EValue> inputs = {tensor_tokens.get_aliasing_tensor()};
+  const char* tokenizer_path = FLAGS_tokenizer_path.c_str();
 
-    Result<std::vector<EValue>> result_evalue = llm_model.forward(inputs);
+  const char* prompt = FLAGS_prompt.c_str();
 
-    const auto error = result_evalue.error();
-    Tensor logits_tensor = result_evalue.get()[0].toTensor();
-    const auto sentence_length = logits_tensor.size(1);
-    std::vector<float> logits(
-        logits_tensor.data_ptr<float>() +
-            (sentence_length - 1) * VOCABULARY_SIZE,
-        logits_tensor.data_ptr<float>() + sentence_length * VOCABULARY_SIZE);
+  double temperature = FLAGS_temperature;
 
-    // Sample the next token from the logits.
-    int64_t next_token =
-        std::max_element(logits.begin(), logits.end()) - logits.begin();
+  int32_t seq_len = FLAGS_seq_len;
 
-    std::cout << next_token << "\t";
-    std::cout.flush();
+  ::torch::executor::Runner runner(model_path, tokenizer_path, temperature);
 
-    // Break if we reached the end of the text.
-    if (next_token == ENDOFTEXT_TOKEN) {
-      break;
-    }
+  runner.generate(prompt, seq_len);
 
-    output_tokens.push_back(next_token);
-
-    // Update next input.
-    input_tokens.push_back(next_token);
-  }
-
-  std::cout << std::endl;
-  std::cout << tokenizer.decode(output_tokens) << std::endl;
-}
-
-int main() {
-  // Set up the prompt. This provides the seed text for the model to elaborate.
-  std::cout << "Enter model prompt: ";
-  std::string prompt;
-  std::getline(std::cin, prompt);
-
-  SentencePieceTokenizer tokenizer("tokenizer.model");
-
-  Module model("phi-3-mini.pte", Module::LoadMode::MmapUseMlockIgnoreErrors);
-
-  const auto max_output_tokens = 128;
-  generate(model, prompt, tokenizer, max_output_tokens);
+  return 0;
 }
diff --git a/examples/models/phi-3-mini/phi_3_mini.py b/examples/models/phi-3-mini/phi_3_mini.py
new file mode 100644
index 0000000000..a7c906f0cd
--- /dev/null
+++ b/examples/models/phi-3-mini/phi_3_mini.py
@@ -0,0 +1,36 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+
+import torch.nn
+from transformers import Phi3ForCausalLM
+
+from .static_cache import ETStaticCache
+
+
+class Phi3Mini(torch.nn.Module):
+
+    def __init__(self, model: Phi3ForCausalLM, max_batch_size: int, max_seq_len: int):
+        super().__init__()
+        self.model = model
+        self.cache = ETStaticCache(
+            config=model.config,
+            max_batch_size=max_batch_size,
+            max_cache_len=max_seq_len,
+            device=self.model.device,
+            dtype=self.model.dtype,
+        )
+
+    def forward(
+        self,
+        input_ids: torch.LongTensor = None,
+    ) -> torch.FloatTensor:
+        return self.model.forward(
+            input_ids=input_ids,
+            use_cache=True,
+            return_dict=True,
+            past_key_values=self.cache,
+        ).logits[:, -1, :]
diff --git a/examples/models/phi-3-mini/runner.cpp b/examples/models/phi-3-mini/runner.cpp
new file mode 100644
index 0000000000..8328755c42
--- /dev/null
+++ b/examples/models/phi-3-mini/runner.cpp
@@ -0,0 +1,104 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/examples/models/phi-3-mini/runner.h>
+
+#include <ctime>
+#include <iostream>
+
+#include <executorch/extension/llm/tokenizer/bpe_tokenizer.h>
+#include <executorch/extension/tensor/tensor.h>
+#include <executorch/runtime/platform/log.h>
+
+namespace example {
+
+#define SAMPLER_TOP 0.9f
+#define ENDOFTEXT_TOKEN 32000
+#define VOCABULARY_SIZE 32064
+
+Runner::Runner(
+    const std::string& model_path,
+    const std::string& tokenizer_path,
+    const float temperature)
+    : module_(std::make_unique<Module>(model_path, Module::LoadMode::File)),
+      tokenizer_(std::make_unique<BPETokenizer>()),
+      sampler_(std::make_unique<Sampler>(
+          VOCABULARY_SIZE,
+          temperature,
+          SAMPLER_TOP,
+          static_cast<unsigned long long>(std::time(nullptr)))) {
+  ET_CHECK_MSG(
+      tokenizer_->load(tokenizer_path) == Error::Ok,
+      "Failed to load tokenizer at %s",
+      tokenizer_path.c_str());
+  ET_LOG(
+      Info,
+      "Created Phi-3-mini runner: model_path=%s, tokenizer_path=%s",
+      model_path.c_str(),
+      tokenizer_path.c_str());
+}
+
+void Runner::generate(const std::string& prompt, std::size_t max_seq_len) {
+  auto encode_res = tokenizer_->encode(prompt, 0, 0);
+  ET_CHECK_MSG(
+      encode_res.error() == Error::Ok, "Failed to encode %s", prompt.c_str());
+  auto input_tokens = encode_res.get();
+
+  std::cout << "Prefilling tokens ..." << std::endl;
+  for (auto token : input_tokens) {
+    std::cout << token << " ";
+  }
+  std::cout << std::endl;
+  std::cout.flush();
+  auto prev_token = input_tokens.back();
+  auto current_token = prefill(input_tokens);
+
+  std::cout << "Generating tokens ..." << std::endl;
+  std::cout << tokenizer_->decode(prev_token, current_token).get();
+  std::cout.flush();
+
+  std::size_t seq_len = input_tokens.size() + 1;
+
+  while (current_token != ENDOFTEXT_TOKEN && seq_len < max_seq_len) {
+    prev_token = current_token;
+    current_token = run_model_step(current_token);
+    std::cout << tokenizer_->decode(prev_token, current_token).get();
+    std::cout.flush();
+
+    ++seq_len;
+  }
+
+  std::cout << std::endl;
+}
+
+uint64_t Runner::logits_to_token(const exec_aten::Tensor& logits_tensor) {
+  return sampler_->sample(logits_tensor.data_ptr<float>());
+}
+
+uint64_t Runner::prefill(std::vector<uint64_t>& tokens) {
+  auto result = module_->forward(executorch::extension::from_blob(
+      tokens.data(),
+      {1, static_cast<exec_aten::SizesType>(tokens.size())},
+      ScalarType::Long));
+  ET_CHECK_MSG(result.error() == Error::Ok, "Failed to prefill tokens");
+
+  return logits_to_token(result.get()[0].toTensor());
+}
+
+uint64_t Runner::run_model_step(uint64_t token) {
+  auto result = module_->forward(
+      executorch::extension::from_blob(&token, {1, 1}, ScalarType::Long));
+  ET_CHECK_MSG(
+      result.error() == Error::Ok,
+      "Failed to run forward() for token %" PRIu64,
+      token);
+
+  return logits_to_token(result.get()[0].toTensor());
+}
+
+} // namespace example
diff --git a/examples/models/phi-3-mini/runner.h b/examples/models/phi-3-mini/runner.h
new file mode 100644
index 0000000000..f12fcbf169
--- /dev/null
+++ b/examples/models/phi-3-mini/runner.h
@@ -0,0 +1,50 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// A simple phi-3-mini runner that includes preprocessing and post processing
+// logic. The module takes in a string as input and emits a string as output.
+
+#pragma once
+
+#include <memory>
+#include <string>
+
+#include <executorch/extension/llm/sampler/sampler.h>
+#include <executorch/extension/llm/tokenizer/tokenizer.h>
+#include <executorch/extension/module/module.h>
+#include <executorch/runtime/core/exec_aten/exec_aten.h>
+
+namespace example {
+
+class Runner {
+ public:
+  explicit Runner(
+      const std::string& model_path,
+      const std::string& tokenizer_path,
+      const float temperature = 0.8f);
+
+  /**
+   * Generates response for a given prompt.
+   *
+   * @param[in] prompt The prompt to generate a response for.
+   * @param[in] max_seq_len The maximum length of the sequence to generate,
+   * including prompt.
+   */
+  void generate(const std::string& prompt, std::size_t max_seq_len);
+
+ private:
+  uint64_t logits_to_token(const exec_aten::Tensor& logits_tensor);
+  uint64_t prefill(std::vector<uint64_t>& tokens);
+  uint64_t run_model_step(uint64_t token);
+
+  std::unique_ptr<Module> module_;
+  std::unique_ptr<Tokenizer> tokenizer_;
+  std::unique_ptr<Sampler> sampler_;
+};
+
+} // namespace example
diff --git a/examples/models/phi-3-mini/sentence_piece_tokenizer.h b/examples/models/phi-3-mini/sentence_piece_tokenizer.h
deleted file mode 100644
index 3428a30c83..0000000000
--- a/examples/models/phi-3-mini/sentence_piece_tokenizer.h
+++ /dev/null
@@ -1,43 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#include <sstream>
-
-#include <sentencepiece_processor.h>
-
-// TODO(lunwenh): Add unit tests
-class SentencePieceTokenizer {
- public:
-  SentencePieceTokenizer(const std::string& filePath) {
-    const auto status = processor_.Load(filePath);
-    if (!status.ok()) {
-      std::ostringstream errorMessageStream;
-      errorMessageStream << "Failed to load SentencePiece model from "
-                         << filePath << " with error " << status.ToString();
-      throw std::runtime_error(errorMessageStream.str());
-    }
-    processor_.SetEncodeExtraOptions("bos");
-  }
-
-  std::vector<int64_t> encode(const std::string& piece) {
-    std::vector<int> ids;
-    processor_.Encode(piece, &ids);
-    std::vector<int64_t> idsLong(ids.begin(), ids.end());
-    return idsLong;
-  }
-
-  std::string decode(const std::vector<int64_t>& ids) {
-    std::vector<int> idsInt(ids.begin(), ids.end());
-    std::string piece;
-    processor_.Decode(idsInt, &piece);
-    return piece;
-  }
-
- private:
-  sentencepiece::SentencePieceProcessor processor_;
-};
diff --git a/examples/models/phi-3-mini/static_cache.py b/examples/models/phi-3-mini/static_cache.py
new file mode 100644
index 0000000000..2469ae742d
--- /dev/null
+++ b/examples/models/phi-3-mini/static_cache.py
@@ -0,0 +1,42 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+
+from typing import Optional
+
+import torch
+from transformers import PretrainedConfig, StaticCache
+
+
+class ETStaticCache(StaticCache):
+    """
+    A customized static cache implementation, which overrides a few methods to make it exportable to ExecuTorch.
+    This can be removed once transformers supports static cache for Phi3 properly.
+    """
+
+    def __init__(
+        self,
+        config: PretrainedConfig,
+        max_batch_size: int,
+        max_cache_len: int,
+        device,
+        dtype=torch.float32,
+    ) -> None:
+        super().__init__(
+            config=config,
+            max_batch_size=max_batch_size,
+            max_cache_len=max_cache_len,
+            device=device,
+            dtype=dtype,
+        )
+
+    def get_seq_length(self, layer_idx: Optional[int] = 0) -> int:
+        return (self.key_cache[layer_idx][0, 0].any(dim=-1)).sum().item()
+
+    def get_usable_length(
+        self, new_seq_length: int, layer_idx: Optional[int] = 0
+    ) -> int:
+        return self.get_seq_length(layer_idx)
diff --git a/examples/models/phi3-mini-lora/README.md b/examples/models/phi3-mini-lora/README.md
deleted file mode 100644
index 97fef41776..0000000000
--- a/examples/models/phi3-mini-lora/README.md
+++ /dev/null
@@ -1,27 +0,0 @@
-## Summary
-In this exmaple, we export a model ([phi-3-mini](https://github.com/pytorch/executorch/tree/main/examples/models/phi-3-mini)) appended with additional LoRA layers to ExecuTorch.
-
-## Instructions
-### Step 1: [Optional] Install ExecuTorch dependencies
-`./install_requirements.sh` in ExecuTorch root directory.
-
-### Step 2: Install TorchTune nightly
-The LoRA model used is recent and is not yet officially released on `TorchTune`. To be able to run this example, you will need to run the following to install TorchTune nighly:
-- `./examples/models/llava_encoder/install_requirements.sh`'
-
-### Step 3: Export and run the model
-1. Export the model to ExecuTorch.
-```
-python export_model.py
-```
-
-2. Run the model using an example runtime. For more detailed steps on this, check out [Build & Run](https://pytorch.org/executorch/stable/getting-started-setup.html#build-run).
-```
-# Clean and configure the CMake build system. Compiled programs will appear in the executorch/cmake-out directory we create here.
-(rm -rf cmake-out && mkdir cmake-out && cd cmake-out && cmake ..)
-
-# Build the executor_runner target
-cmake --build cmake-out --target executor_runner -j9
-
-./cmake-out/executor_runner --model_path mini_phi3_lora.pte
-```
diff --git a/examples/models/phi3-mini-lora/export_model.py b/examples/models/phi3-mini-lora/export_model.py
deleted file mode 100644
index 49b0ca64bb..0000000000
--- a/examples/models/phi3-mini-lora/export_model.py
+++ /dev/null
@@ -1,64 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-from executorch.exir import to_edge
-from torch import int64, long, no_grad, randint, Tensor, zeros
-from torch.export import export, ExportedProgram
-from torch.nn.attention import sdpa_kernel, SDPBackend
-from torchtune.models.phi3._model_builders import lora_phi3_mini
-
-
-@no_grad()
-def export_mini_phi3_lora(model) -> None:
-    """
-    Export the example mini-phi3 with LoRA model to executorch.
-
-    Note: need to use the SDPBackend's custom kernel for sdpa (scalable
-    dot product attention) because the default sdpa kernel used in the
-    model results in a internally mutating graph.
-    """
-    model.eval()
-    # 1. torch.export: Defines the program with the ATen operator set.
-    print("Exporting to aten dialect")
-    example_args = (randint(0, 100, (1, 100), dtype=long),)
-    with sdpa_kernel([SDPBackend.MATH]):
-        aten_dialect: ExportedProgram = export(model, example_args)
-
-        # 2. to_edge: Make optimizations for Edge devices.
-        print("Lowering to edge dialect")
-        edge_program = to_edge(aten_dialect)
-
-    # 3. to_executorch: Convert the graph to an ExecuTorch program.
-    print("Exporting to executorch")
-    executorch_program = edge_program.to_executorch()
-
-    # 4. Save the compiled .pte program.
-    print("Saving to mini_phi3_lora.pte")
-    with open("mini_phi3_lora.pte", "wb") as file:
-        file.write(executorch_program.buffer)
-
-    print("Done.")
-
-
-def run_mini_phi3_lora(model) -> Tensor:
-    """Run the model and return the result."""
-    args = zeros([3072, 1], dtype=int64)
-    model.eval()
-    res = model(args)
-    return res
-
-
-def main() -> None:
-    mini_lora_model = lora_phi3_mini(
-        lora_attn_modules=[
-            "q_proj",
-        ]
-    )
-    export_mini_phi3_lora(mini_lora_model)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/examples/models/phi3-mini-lora/install_requirements.sh b/examples/models/phi3-mini-lora/install_requirements.sh
deleted file mode 100644
index 20921d5d5d..0000000000
--- a/examples/models/phi3-mini-lora/install_requirements.sh
+++ /dev/null
@@ -1,10 +0,0 @@
-#!/bin/bash
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-# Install nightly build of TorchTune.
-pip install --pre torchtune --extra-index-url https://download.pytorch.org/whl/nightly/cpu --no-cache-dir
-pip install tiktoken
diff --git a/examples/models/test/test_export.py b/examples/models/test/test_export.py
index f258cc2139..b3030c24fe 100644
--- a/examples/models/test/test_export.py
+++ b/examples/models/test/test_export.py
@@ -29,7 +29,7 @@ def collect_executorch_and_eager_outputs(
         Returns a tuple containing the outputs of the eager mode model and the executorch mode model.
         """
         eager_model = eager_model.eval()
-        model = torch._export.capture_pre_autograd_graph(eager_model, example_inputs)
+        model = torch.export.export_for_training(eager_model, example_inputs).module()
         edge_model = export_to_edge(model, example_inputs)
 
         executorch_prog = edge_model.to_executorch()
diff --git a/examples/portable/custom_ops/custom_ops_1_out.cpp b/examples/portable/custom_ops/custom_ops_1_out.cpp
index 14c327071c..c1f1dee0ce 100644
--- a/examples/portable/custom_ops/custom_ops_1_out.cpp
+++ b/examples/portable/custom_ops/custom_ops_1_out.cpp
@@ -13,7 +13,7 @@ namespace native {
 
 using exec_aten::ScalarType;
 using exec_aten::Tensor;
-using torch::executor::RuntimeContext;
+using executorch::runtime::KernelRuntimeContext;
 
 namespace {
 void check_preconditions(const Tensor& in, Tensor& out) {
@@ -35,10 +35,13 @@ void check_preconditions(const Tensor& in, Tensor& out) {
       ssize_t(in.numel()));
 }
 } // namespace
-// mul3.out(Tensor input, *, Tensor(a!) output) -> Tensor(a!)
-Tensor& mul3_out_impl(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
-  (void)ctx;
 
+// mul3.out(Tensor input, *, Tensor(a!) output) -> Tensor(a!)
+// ExecuTorch-compatible function signature, with a KernelRuntimeContext.
+Tensor& mul3_out_impl(
+    ET_UNUSED KernelRuntimeContext& ctx,
+    const Tensor& in,
+    Tensor& out) {
   check_preconditions(in, out);
   float* out_data = out.mutable_data_ptr<float>();
   const float* in_data = in.const_data_ptr<float>();
@@ -47,5 +50,6 @@ Tensor& mul3_out_impl(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
   }
   return out;
 }
+
 } // namespace native
 } // namespace custom
diff --git a/examples/portable/custom_ops/custom_ops_2_out.cpp b/examples/portable/custom_ops/custom_ops_2_out.cpp
index ffb3a8be44..f792d06f29 100644
--- a/examples/portable/custom_ops/custom_ops_2_out.cpp
+++ b/examples/portable/custom_ops/custom_ops_2_out.cpp
@@ -13,7 +13,7 @@ namespace native {
 
 using exec_aten::ScalarType;
 using exec_aten::Tensor;
-using torch::executor::RuntimeContext;
+using executorch::runtime::KernelRuntimeContext;
 
 namespace {
 void check_preconditions(const Tensor& in, Tensor& out) {
@@ -35,7 +35,9 @@ void check_preconditions(const Tensor& in, Tensor& out) {
       ssize_t(in.numel()));
 }
 } // namespace
+
 // mul4.out(Tensor input, *, Tensor(a!) output) -> Tensor(a!)
+// ATen-compatible function signature, without a KernelRuntimeContext.
 Tensor& mul4_out_impl(const Tensor& in, Tensor& out) {
   check_preconditions(in, out);
   float* out_data = out.mutable_data_ptr<float>();
@@ -46,8 +48,12 @@ Tensor& mul4_out_impl(const Tensor& in, Tensor& out) {
   return out;
 }
 
-Tensor& mul4_out_impl(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
-  (void)ctx;
+// mul4.out(Tensor input, *, Tensor(a!) output) -> Tensor(a!)
+// ExecuTorch-compatible function signature, with a KernelRuntimeContext.
+Tensor& mul4_out_impl(
+    ET_UNUSED KernelRuntimeContext& ctx,
+    const Tensor& in,
+    Tensor& out) {
   mul4_out_impl(in, out);
   return out;
 }
diff --git a/examples/portable/executor_runner/executor_runner.cpp b/examples/portable/executor_runner/executor_runner.cpp
index a0644487d2..93c150c0b9 100644
--- a/examples/portable/executor_runner/executor_runner.cpp
+++ b/examples/portable/executor_runner/executor_runner.cpp
@@ -37,11 +37,20 @@ DEFINE_string(
     "model.pte",
     "Model serialized in flatbuffer format.");
 
-using namespace torch::executor;
-using torch::executor::util::FileDataLoader;
+using executorch::extension::FileDataLoader;
+using executorch::runtime::Error;
+using executorch::runtime::EValue;
+using executorch::runtime::HierarchicalAllocator;
+using executorch::runtime::MemoryAllocator;
+using executorch::runtime::MemoryManager;
+using executorch::runtime::Method;
+using executorch::runtime::MethodMeta;
+using executorch::runtime::Program;
+using executorch::runtime::Result;
+using executorch::runtime::Span;
 
 int main(int argc, char** argv) {
-  runtime_init();
+  executorch::runtime::runtime_init();
 
   gflags::ParseCommandLineFlags(&argc, &argv, true);
   if (argc != 1) {
@@ -154,7 +163,7 @@ int main(int argc, char** argv) {
   // Allocate input tensors and set all of their elements to 1. The `inputs`
   // variable owns the allocated memory and must live past the last call to
   // `execute()`.
-  auto inputs = util::prepare_input_tensors(*method);
+  auto inputs = executorch::extension::prepare_input_tensors(*method);
   ET_CHECK_MSG(
       inputs.ok(),
       "Could not prepare inputs: 0x%" PRIx32,
@@ -176,7 +185,7 @@ int main(int argc, char** argv) {
   status = method->get_outputs(outputs.data(), outputs.size());
   ET_CHECK(status == Error::Ok);
   // Print the first and last 100 elements of long lists of scalars.
-  std::cout << torch::executor::util::evalue_edge_items(100);
+  std::cout << executorch::extension::evalue_edge_items(100);
   for (int i = 0; i < outputs.size(); ++i) {
     std::cout << "Output " << i << ": " << outputs[i] << std::endl;
   }
diff --git a/examples/portable/scripts/export.py b/examples/portable/scripts/export.py
index 7849fa06cc..6055ecef0f 100644
--- a/examples/portable/scripts/export.py
+++ b/examples/portable/scripts/export.py
@@ -62,7 +62,7 @@ def main() -> None:
         *MODEL_NAME_TO_MODEL[args.model_name]
     )
 
-    backend_config = ExecutorchBackendConfig(extract_constant_segment=True)
+    backend_config = ExecutorchBackendConfig()
     if args.segment_alignment is not None:
         backend_config.segment_alignment = int(args.segment_alignment, 16)
     if (
diff --git a/examples/portable/scripts/export_and_delegate.py b/examples/portable/scripts/export_and_delegate.py
index 8d39453718..50f2ce6d90 100644
--- a/examples/portable/scripts/export_and_delegate.py
+++ b/examples/portable/scripts/export_and_delegate.py
@@ -15,8 +15,6 @@
     BackendWithCompilerDemo,
 )
 from executorch.exir.backend.test.op_partitioner_demo import AddMulPartitionerDemo
-from executorch.exir.capture._config import ExecutorchBackendConfig
-
 from executorch.extension.export_util import export_to_edge
 
 from ...models import MODEL_NAME_TO_MODEL
@@ -63,7 +61,7 @@ def export_composite_module_with_lower_graph():
     m_compile_spec = m.get_compile_spec()
 
     # pre-autograd export. eventually this will become torch.export
-    m = torch._export.capture_pre_autograd_graph(m, m_inputs)
+    m = torch.export.export_for_training(m, m_inputs).module()
     edge = export_to_edge(m, m_inputs)
     logging.info(f"Exported graph:\n{edge.exported_program().graph}")
 
@@ -86,7 +84,7 @@ def forward(self, *args):
     m = CompositeModule()
     m = m.eval()
     # pre-autograd export. eventually this will become torch.export
-    m = torch._export.capture_pre_autograd_graph(m, m_inputs)
+    m = torch.export.export_for_training(m, m_inputs).module()
     composited_edge = export_to_edge(m, m_inputs)
 
     # The graph module is still runnerable
@@ -94,9 +92,7 @@ def forward(self, *args):
 
     logging.info(f"Lowered graph:\n{composited_edge.exported_program().graph}")
 
-    exec_prog = composited_edge.to_executorch(
-        config=ExecutorchBackendConfig(extract_constant_segment=False)
-    )
+    exec_prog = composited_edge.to_executorch()
     buffer = exec_prog.buffer
 
     model_name = "composite_model"
@@ -138,7 +134,7 @@ def get_example_inputs(self):
     m = Model()
     m_inputs = m.get_example_inputs()
     # pre-autograd export. eventually this will become torch.export
-    m = torch._export.capture_pre_autograd_graph(m, m_inputs)
+    m = torch.export.export_for_training(m, m_inputs).module()
     edge = export_to_edge(m, m_inputs)
     logging.info(f"Exported graph:\n{edge.exported_program().graph}")
 
@@ -147,9 +143,7 @@ def get_example_inputs(self):
     edge = edge.to_backend(AddMulPartitionerDemo())
     logging.info(f"Lowered graph:\n{edge.exported_program().graph}")
 
-    exec_prog = edge.to_executorch(
-        config=ExecutorchBackendConfig(extract_constant_segment=False)
-    )
+    exec_prog = edge.to_executorch()
     buffer = exec_prog.buffer
 
     model_name = "partition_lowered_model"
@@ -177,7 +171,7 @@ def export_and_lower_the_whole_graph():
 
     m_inputs = m.get_example_inputs()
     # pre-autograd export. eventually this will become torch.export
-    m = torch._export.capture_pre_autograd_graph(m, m_inputs)
+    m = torch.export.export_for_training(m, m_inputs).module()
     edge = export_to_edge(m, m_inputs)
     logging.info(f"Exported graph:\n{edge.exported_program().graph}")
 
diff --git a/examples/qualcomm/CMakeLists.txt b/examples/qualcomm/CMakeLists.txt
index 94aae08de8..542d7f0346 100644
--- a/examples/qualcomm/CMakeLists.txt
+++ b/examples/qualcomm/CMakeLists.txt
@@ -7,9 +7,6 @@
 set(CMAKE_CXX_STANDARD 17)
 # qnn_executor_runner: Like executor_runner but with QNN
 
-if(NOT ${ANDROID})
-  message(FATAL_ERROR "Not building Android, quitting...")
-endif()
 cmake_minimum_required(VERSION 3.19)
 project(qualcomm_runner_example)
 
@@ -44,7 +41,7 @@ set(_common_include_directories ${EXECUTORCH_ROOT}/..)
 # The `_<target>_srcs` lists are defined by including ${EXECUTORCH_SRCS_FILE}.
 #
 set(EXECUTORCH_SRCS_FILE
-  "${CMAKE_CURRENT_BINARY_DIR}/../../executorch_srcs.cmake"
+    "${CMAKE_CURRENT_BINARY_DIR}/../../executorch_srcs.cmake"
 )
 extract_sources(${EXECUTORCH_SRCS_FILE})
 include(${EXECUTORCH_SRCS_FILE})
@@ -52,9 +49,6 @@ include(${EXECUTORCH_SRCS_FILE})
 get_filename_component(
   EXECUTORCH_SOURCE_DIR "${CMAKE_CURRENT_LIST_DIR}/../.." ABSOLUTE
 )
-set(_qnn_executor_runner__srcs ${_executor_runner__srcs})
-set(_qnn_llama_runner__srcs ${_llama_runner__srcs})
-set(_qnn_qaihub_llama_runner__srcs ${_llama_runner__srcs})
 
 # portable_ops_lib
 gen_selected_ops(LIB_NAME "full_portable_ops_lib" INCLUDE_ALL_OPS "ON")
@@ -72,71 +66,14 @@ target_include_directories(
   full_portable_ops_lib PUBLIC ${_common_include_directories}
 )
 
-# preprocess executor runner src files
-list(TRANSFORM _qnn_executor_runner__srcs PREPEND "${EXECUTORCH_SOURCE_DIR}/")
-list(FILTER _qnn_executor_runner__srcs EXCLUDE REGEX ".*executor_runner.cpp$")
-list(PREPEND _qnn_executor_runner__srcs
-  ${CMAKE_CURRENT_LIST_DIR}/executor_runner/qnn_executor_runner.cpp
-)
-# preprocess llama runner src files
-list(TRANSFORM _qnn_llama_runner__srcs PREPEND "${EXECUTORCH_SOURCE_DIR}/")
-list(FILTER _qnn_llama_runner__srcs EXCLUDE REGEX ".*runner.cpp$")
-list(PREPEND _qnn_llama_runner__srcs
-  ${CMAKE_CURRENT_LIST_DIR}/executor_runner/qnn_llama_runner.cpp
-  ${CMAKE_CURRENT_LIST_DIR}/llama2/runner/runner.cpp
-  ${CMAKE_CURRENT_LIST_DIR}/llama2/runner/runner.h
-)
-# preprocess qaihub llama runner src files
-list(TRANSFORM _qnn_qaihub_llama_runner__srcs PREPEND "${EXECUTORCH_SOURCE_DIR}/")
-list(FILTER _qnn_qaihub_llama_runner__srcs EXCLUDE REGEX ".*runner.cpp*$")
-list(PREPEND _qnn_qaihub_llama_runner__srcs
-  ${CMAKE_CURRENT_LIST_DIR}/executor_runner/qnn_qaihub_llama_runner.cpp
-  ${CMAKE_CURRENT_LIST_DIR}/llama2/qaihub_runner/runner.cpp
-  ${CMAKE_CURRENT_LIST_DIR}/llama2/qaihub_runner/runner.h
-  ${CMAKE_CURRENT_LIST_DIR}/llama2/qaihub_runner/io_memory.cpp
-  ${CMAKE_CURRENT_LIST_DIR}/llama2/qaihub_runner/io_memory.h
-)
+# build qnn_executor_runner
+add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/executor_runner)
 
-# build executor runner
-add_executable(qnn_executor_runner ${_qnn_executor_runner__srcs})
-target_include_directories(
-  qnn_executor_runner PUBLIC ${_common_include_directories}
-)
-target_link_libraries(
-  qnn_executor_runner qnn_executorch_backend full_portable_ops_lib etdump
-  ${FLATCCRT_LIB} gflags
-)
-if(CMAKE_BUILD_TYPE STREQUAL "Debug")
-  target_link_options(qnn_executor_runner PUBLIC -fsanitize=undefined)
-endif()
+# build qnn_llama_runner
+add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/oss_scripts/llama2)
 
-# build llama runner
-add_executable(qnn_llama_runner ${_qnn_llama_runner__srcs})
-target_include_directories(
-  qnn_llama_runner PUBLIC ${_common_include_directories}
-)
-target_link_libraries(qnn_llama_runner
-  qnn_executorch_backend
-  full_portable_ops_lib
-  extension_data_loader
-  extension_module
-  gflags
-)
-target_compile_options(qnn_llama_runner
-  PUBLIC ${_common_compile_options}
-)
-# build qaihub llama runner
-add_executable(qnn_qaihub_llama_runner ${_qnn_qaihub_llama_runner__srcs})
-target_include_directories(qnn_qaihub_llama_runner
-  PUBLIC ${_common_include_directories}
-)
-target_link_libraries(qnn_qaihub_llama_runner
-  qnn_executorch_backend
-  executorch_no_prim_ops
-  extension_data_loader
-  extension_module
-  gflags
-)
-target_compile_options(qnn_qaihub_llama_runner
-  PUBLIC ${_common_compile_options}
-)
+# build qaihub_llama2_7b_runner and qaihub_llama3_8b_runner
+add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/qaihub_scripts/llama)
+
+# build qaihub_stable_diffusion_runner
+add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/qaihub_scripts/stable_diffusion)
diff --git a/examples/qualcomm/README.md b/examples/qualcomm/README.md
index d41ad80ecf..fa73c92ee1 100644
--- a/examples/qualcomm/README.md
+++ b/examples/qualcomm/README.md
@@ -2,6 +2,20 @@
 
 This directory contains examples for some AI models.
 
+We have seperated the example scripts into the following subfolders, please refer to [README.md](../../backends/qualcomm/README.md) for the example scripts' directory structure:
+
+1. executor_runner: This folder contains a general executor runner capable of running most of the models. As a rule of thumb, if a model does not have its own customized runner, execute the model using [executor_runner](./executor_runner/qnn_executor_runner.cpp). On the other hand, if a model has its own runner, such as [llama2](./oss_scripts/llama2/qnn_llama_runner.cpp), use the customized runner to execute the model. Customized runner should be located under the same folder as the model's python script. 
+
+2. oss_scripts: OSS stands for Open Source Software. This folder contains python scripts for open source models. Some models under this folder might also have their own customized runner.
+   For example, [llama2](./oss_scripts/llama2/qnn_llama_runner.cpp) contains not only the python scripts to prepare the model but also a customized runner for executing the model.
+
+3. qaihub_scripts: QAIHub stands for [Qualcomm AI Hub](https://aihub.qualcomm.com/). On QAIHub, users can find pre-compiled context binaries, a format used by QNN to save its models. This provides users with a new option for model deployment. Different from oss_scripts & scripts, which the example scripts are converting a model from nn.Module to ExecuTorch .pte files, qaihub_scripts provides example scripts for converting pre-compiled context binaries to ExecuTorch .pte files. Additionaly, users can find customized example runners specific to the QAIHub models for execution. For example [qaihub_llama2_7b](./qaihub_scripts/llama2/qaihub_llama2_7b.py) is a script converting context binaries to ExecuTorch .pte files, and [qaihub_llama2_7b_runner](./qaihub_scripts/llama2/qaihub_llama2_7b_runner.cpp) is a customized example runner to execute llama2 .pte files. Please be aware that context-binaries downloaded from QAIHub are tied to a specific QNN SDK version.
+Before executing the scripts and runner, please ensure that you are using the QNN SDK version that is matching the context binary. Tutorial below will also cover how to check the QNN Version for a context binary.
+
+4. scripts: This folder contains scripts to build models provided by executorch.
+
+
+
 Please check helper of each examples for detailed arguments.
 
 Here are some general information and limitations.
@@ -10,13 +24,13 @@ Here are some general information and limitations.
 
 Please finish tutorial [Setting up executorch](https://pytorch.org/executorch/stable/getting-started-setup).
 
-Please finish [setup QNN backend](../../backends/qualcomm/setup.md).
+Please finish [setup QNN backend](../../docs/source/build-run-qualcomm-ai-engine-direct-backend.md).
 
 ## Environment
 
 Please set up `QNN_SDK_ROOT` environment variable.
 Note that this version should be exactly same as building QNN backend.
-Please check [setup](../../backends/qualcomm/setup.md).
+Please check [setup](../../docs/source/build-run-qualcomm-ai-engine-direct-backend.md).
 
 Please set up `LD_LIBRARY_PATH` to `$QNN_SDK_ROOT/lib/x86_64-linux-clang`.
 Or, you could put QNN libraries to default search path of the dynamic linker.
@@ -39,12 +53,23 @@ cd $EXECUTORCH_ROOT/examples/qualcomm/scripts
 
 #### For MobileNet_v2
 ```bash
-python mobilenet_v2.py -s <device_serial> -m "SM8550" -b path/to/build_android/ -d /path/to/imagenet-mini/val
+python mobilenet_v2.py -s <device_serial> -m "SM8550" -b path/to/build-android/ -d /path/to/imagenet-mini/val
 ```
 
 #### For DeepLab_v3
 ```bash
-python deeplab_v3.py -s <device_serial> -m "SM8550" -b path/to/build_android/ --download
+python deeplab_v3.py -s <device_serial> -m "SM8550" -b path/to/build-android/ --download
+```
+
+#### Check context binary version
+```bash
+cd ${QNN_SDK_ROOT}/bin/x86_64-linux-clang
+./qnn-context-binary-utility --context_binary ${PATH_TO_CONTEXT_BINARY} --json_file ${OUTPUT_JSON_NAME}
+```
+After retreiving the json file, search in the json file for the field "buildId" and ensure it matches the ${QNN_SDK_ROOT} you are using for the environment variable.
+If you run into the following error, that means the ${QNN_SDK_ROOT} that you are using is older than the context binary QNN SDK version. In this case, please download a newer QNN SDK version.
+```
+Error: Failed to get context binary info.
 ```
 
 ## Additional Dependency
diff --git a/examples/qualcomm/executor_runner/CMakeLists.txt b/examples/qualcomm/executor_runner/CMakeLists.txt
new file mode 100644
index 0000000000..214e0a5854
--- /dev/null
+++ b/examples/qualcomm/executor_runner/CMakeLists.txt
@@ -0,0 +1,27 @@
+# Copyright (c) Qualcomm Innovation Center, Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+set(_qnn_executor_runner__srcs ${_executor_runner__srcs})
+
+# preprocess executor runner src files
+list(TRANSFORM _qnn_executor_runner__srcs PREPEND "${EXECUTORCH_SOURCE_DIR}/")
+list(FILTER _qnn_executor_runner__srcs EXCLUDE REGEX ".*executor_runner.cpp$")
+list(PREPEND _qnn_executor_runner__srcs
+     ${CMAKE_CURRENT_LIST_DIR}/qnn_executor_runner.cpp
+)
+
+# build executor runner
+add_executable(qnn_executor_runner ${_qnn_executor_runner__srcs})
+target_include_directories(
+  qnn_executor_runner PUBLIC ${_common_include_directories}
+)
+target_link_libraries(
+  qnn_executor_runner qnn_executorch_backend full_portable_ops_lib etdump
+  ${FLATCCRT_LIB} gflags
+)
+set_target_properties(
+  qnn_executor_runner PROPERTIES LINK_FLAGS "-Wl,-rpath='$ORIGIN'"
+)
diff --git a/examples/qualcomm/executor_runner/qnn_executor_runner.cpp b/examples/qualcomm/executor_runner/qnn_executor_runner.cpp
index e5ced476ac..7235e36681 100644
--- a/examples/qualcomm/executor_runner/qnn_executor_runner.cpp
+++ b/examples/qualcomm/executor_runner/qnn_executor_runner.cpp
@@ -18,19 +18,18 @@
  */
 
 #include <executorch/backends/qualcomm/runtime/QnnExecuTorch.h>
+#include <executorch/devtools/etdump/etdump_flatcc.h>
 #include <executorch/extension/data_loader/file_data_loader.h>
 #include <executorch/extension/runner_util/inputs.h>
 #include <executorch/runtime/core/memory_allocator.h>
 #include <executorch/runtime/executor/method.h>
 #include <executorch/runtime/executor/program.h>
 #include <executorch/runtime/platform/log.h>
-#include <executorch/runtime/platform/profiler.h>
 #include <executorch/runtime/platform/runtime.h>
-#include <executorch/sdk/etdump/etdump_flatcc.h>
-#include <executorch/util/util.h>
 
 #include <gflags/gflags.h>
 
+#include <chrono>
 #include <fstream>
 #include <memory>
 
@@ -40,10 +39,6 @@ DEFINE_string(
     model_path,
     "model.pte",
     "Model serialized in flatbuffer format.");
-DEFINE_string(
-    prof_result_path,
-    "prof_result.bin",
-    "Executorch profiler output path.");
 DEFINE_string(
     output_folder_path,
     "outputs",
@@ -60,9 +55,40 @@ DEFINE_string(
     etdump_path,
     "etdump.etdp",
     "If etdump generation is enabled an etdump will be written out to this path");
-using namespace torch::executor;
-using torch::executor::MemoryAllocator;
-using torch::executor::util::FileDataLoader;
+
+DEFINE_bool(
+    dump_intermediate_outputs,
+    false,
+    "Dump intermediate outputs to etdump file.");
+
+DEFINE_string(
+    debug_output_path,
+    "debug_output.bin",
+    "Path to dump debug outputs to.");
+
+DEFINE_int32(
+    debug_buffer_size,
+    20000000, // 20MB
+    "Size of the debug buffer in bytes to allocate for intermediate outputs and program outputs logging.");
+
+using executorch::aten::Tensor;
+using executorch::aten::TensorImpl;
+using executorch::etdump::ETDumpGen;
+using executorch::etdump::ETDumpResult;
+using executorch::extension::FileDataLoader;
+using executorch::extension::prepare_input_tensors;
+using executorch::runtime::Error;
+using executorch::runtime::EValue;
+using executorch::runtime::EventTracerDebugLogLevel;
+using executorch::runtime::HierarchicalAllocator;
+using executorch::runtime::MemoryAllocator;
+using executorch::runtime::MemoryManager;
+using executorch::runtime::Method;
+using executorch::runtime::MethodMeta;
+using executorch::runtime::Program;
+using executorch::runtime::Result;
+using executorch::runtime::Span;
+using executorch::runtime::TensorInfo;
 
 class CustomMemory {
  public:
@@ -101,7 +127,7 @@ class CustomMemory {
 };
 
 int main(int argc, char** argv) {
-  runtime_init();
+  executorch::runtime::runtime_init();
 
   gflags::ParseCommandLineFlags(&argc, &argv, true);
   if (argc != 1) {
@@ -168,7 +194,6 @@ int main(int argc, char** argv) {
   // In this example we use a statically allocated memory pool.
   MemoryAllocator method_allocator{
       MemoryAllocator(sizeof(method_allocator_pool), method_allocator_pool)};
-  method_allocator.enable_profiling("method allocator");
 
   // The memory-planned buffers will back the mutable tensors used by the
   // method. The sizes of these buffers were determined ahead of time during the
@@ -201,11 +226,9 @@ int main(int argc, char** argv) {
   // the method can mutate the memory-planned buffers, so the method should only
   // be used by a single thread at at time, but it can be reused.
   //
-  torch::executor::ETDumpGen etdump_gen = torch::executor::ETDumpGen();
-  // TODO: So far we have issues with etdump_gen during load_method. Enable it
-  // after the issues are fixed.
+  ETDumpGen etdump_gen;
   Result<Method> method =
-      program->load_method(method_name, &memory_manager, nullptr);
+      program->load_method(method_name, &memory_manager, &etdump_gen);
   ET_CHECK_MSG(
       method.ok(),
       "Loading of method %s failed with status 0x%" PRIx32,
@@ -213,6 +236,15 @@ int main(int argc, char** argv) {
       method.error());
   ET_LOG(Info, "Method loaded.");
 
+  void* debug_buffer;
+  if (FLAGS_dump_intermediate_outputs) {
+    debug_buffer = malloc(FLAGS_debug_buffer_size);
+    Span<uint8_t> buffer((uint8_t*)debug_buffer, FLAGS_debug_buffer_size);
+    etdump_gen.set_debug_buffer(buffer);
+    etdump_gen.set_event_tracer_debug_level(
+        EventTracerDebugLogLevel::kIntermediateOutputs);
+  }
+
   // Prepare the inputs.
   // Allocate data memory for inputs and outputs
   std::vector<std::unique_ptr<CustomMemory>> in_custom_mem;
@@ -244,7 +276,7 @@ int main(int argc, char** argv) {
   }
   for (int output_index = 0; output_index < method->outputs_size();
        ++output_index) {
-    const exec_aten::Tensor& t = method->get_output(output_index).toTensor();
+    const Tensor& t = method->get_output(output_index).toTensor();
     out_custom_mem.push_back(
         std::make_unique<CustomMemory>(FLAGS_shared_buffer));
     std::unique_ptr<CustomMemory>& custom_mem_ptr = out_custom_mem.back();
@@ -260,7 +292,7 @@ int main(int argc, char** argv) {
       // This can error if the outputs are already pre-allocated. Ignore
       // this error because it doesn't affect correctness, but log it.
       ET_LOG(
-          Error, "ignoring error from set_output_data_ptr(): 0x%" PRIx32, ret);
+          Info, "ignoring error from set_output_data_ptr(): 0x%" PRIx32, ret);
     }
   }
   ET_LOG(Info, "Inputs prepared.");
@@ -388,14 +420,6 @@ int main(int argc, char** argv) {
         fout.close();
       }
 
-      // Dump the profiling data to the specified file.
-      torch::executor::prof_result_t prof_result;
-      EXECUTORCH_DUMP_PROFILE_RESULTS(&prof_result);
-      if (prof_result.num_bytes != 0) {
-        FILE* ptr = fopen(FLAGS_prof_result_path.c_str(), "w+");
-        fwrite(prof_result.prof_data, 1, prof_result.num_bytes, ptr);
-        fclose(ptr);
-      }
       ++inference_index;
     }
     ET_LOG(
@@ -405,7 +429,15 @@ int main(int argc, char** argv) {
         elapsed_time,
         elapsed_time / inference_index);
   } else {
-    // if no input is provided, run with default input as executor_runner.
+    // if no input is provided, fill the inputs with default values
+    auto inputs = prepare_input_tensors(*method);
+    ET_CHECK_MSG(
+        inputs.ok(),
+        "Could not prepare inputs: 0x%" PRIx32,
+        (uint32_t)inputs.error());
+    ET_LOG(
+        Info,
+        "Input list not provided. Inputs prepared with default values set.");
     Error status = method->execute();
     ET_CHECK_MSG(
         status == Error::Ok,
@@ -417,7 +449,7 @@ int main(int argc, char** argv) {
 
   // Dump the etdump data containing profiling/debugging data to the specified
   // file.
-  etdump_result result = etdump_gen.get_etdump_data();
+  ETDumpResult result = etdump_gen.get_etdump_data();
   if (result.buf != nullptr && result.size > 0) {
     ET_LOG(
         Info,
@@ -430,5 +462,17 @@ int main(int argc, char** argv) {
     free(result.buf);
   }
 
+  if (FLAGS_dump_intermediate_outputs) {
+    ET_LOG(
+        Info,
+        "Write debug output binary to %s, Size = %zu",
+        FLAGS_debug_output_path.c_str(),
+        (size_t)FLAGS_debug_buffer_size);
+    FILE* f = fopen(FLAGS_debug_output_path.c_str(), "w+");
+    fwrite((uint8_t*)debug_buffer, 1, FLAGS_debug_buffer_size, f);
+    fclose(f);
+    free(debug_buffer);
+  }
+
   return 0;
 }
diff --git a/examples/qualcomm/executor_runner/qnn_qaihub_llama_runner.cpp b/examples/qualcomm/executor_runner/qnn_qaihub_llama_runner.cpp
deleted file mode 100644
index 60e0b66a9b..0000000000
--- a/examples/qualcomm/executor_runner/qnn_qaihub_llama_runner.cpp
+++ /dev/null
@@ -1,84 +0,0 @@
-/*
- * Copyright (c) Qualcomm Innovation Center, Inc.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-/**
- * @file
- *
- * This tool can run ExecuTorch model files with Qualcomm AI Engine Direct
- * and the portable kernels.
- *
- * User could specify arguments like desired input data, iterations, etc.
- * Currently we assume that the outputs are all fp32 tensors.
- */
-
-#include <executorch/backends/qualcomm/runtime/QnnExecuTorch.h>
-#include <executorch/examples/qualcomm/llama2/qaihub_runner/runner.h>
-#include <executorch/extension/runner_util/managed_tensor.h>
-#include <executorch/runtime/platform/log.h>
-
-#include <gflags/gflags.h>
-
-#include <fstream>
-
-DEFINE_string(sharded_1_path, "", "Path to 1st sharded pte file");
-DEFINE_string(sharded_2_path, "", "Path to 2nd sharded pte file");
-DEFINE_string(sharded_3_path, "", "Path to 3rd sharded pte file");
-DEFINE_string(sharded_4_path, "", "Path to 4th sharded pte file");
-
-DEFINE_string(freq_cos_path, "", "Path to precomputed position embeddings");
-DEFINE_string(freq_sin_path, "", "Path to precomputed position embeddings");
-
-DEFINE_string(output_path, "outputs", "Executorch inference data output path.");
-DEFINE_string(tokenizer_path, "tokenizer.bin", "Tokenizer stuff.");
-DEFINE_string(prompt, "The answer to the ultimate question is", "Prompt.");
-DEFINE_double(
-    temperature,
-    0.8f,
-    "Temperature; Default is 0.8f. 0 = greedy argmax sampling (deterministic). Lower temperature = more deterministic");
-DEFINE_int32(
-    eval_mode,
-    0,
-    "0: PromptProcessor / 1: TokenGenerator / 2: MixedMode (TBD)");
-DEFINE_int32(
-    seq_len,
-    128,
-    "Total number of tokens to generate (prompt + output). Defaults to max_seq_len. If the number of input tokens + seq_len > max_seq_len, the output will be truncated to max_seq_len tokens.");
-DEFINE_double(logits_scale, 0.0, "Path to logits scale file");
-DEFINE_int32(logits_offset, 0, "Path to logits offset file");
-
-int main(int argc, char** argv) {
-  using namespace torch::executor;
-
-  gflags::ParseCommandLineFlags(&argc, &argv, true);
-
-  std::vector<std::string> models_path = {
-      FLAGS_sharded_1_path,
-      FLAGS_sharded_2_path,
-      FLAGS_sharded_3_path,
-      FLAGS_sharded_4_path};
-  std::vector<std::string> pos_embs_path = {
-      FLAGS_freq_cos_path, FLAGS_freq_sin_path};
-
-  // create llama runner
-  Runner runner(
-      models_path,
-      pos_embs_path,
-      FLAGS_tokenizer_path.c_str(),
-      FLAGS_eval_mode,
-      FLAGS_temperature,
-      FLAGS_logits_scale,
-      FLAGS_logits_offset);
-
-  // generate tokens & store inference output
-  std::ofstream fout(FLAGS_output_path.c_str());
-  runner.generate(FLAGS_prompt, FLAGS_seq_len, [&](const std::string& piece) {
-    fout << piece;
-  });
-  fout.close();
-  return 0;
-}
diff --git a/examples/qualcomm/llama2/README.md b/examples/qualcomm/llama2/README.md
deleted file mode 100644
index 4670f74251..0000000000
--- a/examples/qualcomm/llama2/README.md
+++ /dev/null
@@ -1,67 +0,0 @@
-# Summary
-
-## Overview
-This file provides you the instructions to run LLAMA2 with different parameters via Qualcomm HTP backend. Following settings support for
-1. Stories 110M
-2. Llama-2-7b-chat-hf
-
-Please check corresponding section for more information.
-
-## Stories 110M
-This example demonstrates how to run a smaller LLAMA2, stories110M on mobile via Qualcomm HTP backend. Model architecture is fine-tuned specifically for HTP to accelerate the performance. Weight is quantized via PTQ quantization to fit the model on a phone.
-
-### Instructions
-#### Step 1: Setup
-1. Follow the [tutorial](https://pytorch.org/executorch/main/getting-started-setup) to set up ExecuTorch.
-2. Follow the [tutorial](https://pytorch.org/executorch/stable/build-run-qualcomm-ai-engine-direct-backend.html) to build Qualcomm AI Engine Direct Backend.
-
-#### Step2: Prepare Model
-Download and preapre stories110M model
-
-```bash
-# tokenizer.model & stories110M.pt:
-wget "https://huggingface.co/karpathy/tinyllamas/resolve/main/stories110M.pt"
-wget "https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.model"
-
-# tokenizer.bin:
-python -m extension.llm.tokenizer.tokenizer -t tokenizer.model -o tokenizer.bin
-
-# params.json:
-echo '{"dim": 768, "multiple_of": 32, "n_heads": 12, "n_layers": 12, "norm_eps": 1e-05, "vocab_size": 32000}' > params.json
-```
-
-#### Step3: Run default examples
-Default example generates the story based on the given prompt, "Once".
-```bash
-# 16a4w quant:
-python examples/qualcomm/llama2/llama.py -a ${ARTIFACTS} -b build_android -s ${SERIAL_NUM} -m ${SOC_MODEL} --ptq 16a4w --checkpoint stories110M --params params.json --tokenizer_model tokenizer.model --tokenizer_bin tokenizer.bin --prompt "Once"
-```
-
-#### (Note) Customized PTQ data set
-User prompts are used for PTQ calibration data. Take the examples above, the word "Once" is the only word for PTQ. If you want to observe more data during the calibration time. Please add more prompts to the args `--prompt`.
-
-
-## Llama-2-7b-chat-hf
-This example demonstrates how to run Llama-2-7b-chat-hf on mobile via Qualcomm HTP backend. Model was precompiled into context binaries by [Qualcomm AI HUB](https://aihub.qualcomm.com/).
-Note that the pre-compiled context binaries could not be futher fine-tuned for other downstream tasks.
-
-### Instructions
-#### Step 1: Setup
-1. Follow the [tutorial](https://pytorch.org/executorch/main/getting-started-setup) to set up ExecuTorch.
-2. Follow the [tutorial](https://pytorch.org/executorch/stable/build-run-qualcomm-ai-engine-direct-backend.html) to build Qualcomm AI Engine Direct Backend.
-
-#### Step2: Prepare Model
-1. Create account for https://aihub.qualcomm.com/
-2. Follow instructions in https://huggingface.co/qualcomm/Llama-v2-7B-Chat to export context binaries (will take some time to finish)
-
-```bash
-# tokenizer.model: https://huggingface.co/meta-llama/Llama-2-7b-chat-hf/blob/main/tokenizer.model
-# tokenizer.bin:
-python -m examples.models.llama2.tokenizer.tokenizer -t tokenizer.model -o tokenizer.bin
-```
-
-#### Step3: Run default examples
-```bash
-# AIHUB_CONTEXT_BINARIES: ${PATH_TO_AIHUB_WORKSPACE}/build/llama_v2_7b_chat_quantized
-python examples/qualcomm/llama2/llama_qaihub.py -a ${ARTIFACTS} -b build_android -s ${SERIAL_NUM} -m ${SOC_MODEL} --context_binaries ${AIHUB_CONTEXT_BINARIES} --tokenizer_bin tokenizer.bin --prompt "What is Python?"
-```
diff --git a/examples/qualcomm/llama2/llama.py b/examples/qualcomm/llama2/llama.py
deleted file mode 100644
index 6e0f3f4399..0000000000
--- a/examples/qualcomm/llama2/llama.py
+++ /dev/null
@@ -1,596 +0,0 @@
-# Copyright (c) Qualcomm Innovation Center, Inc.
-# All rights reserved
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-import codecs
-import getpass
-import json
-import os
-import time
-from multiprocessing.connection import Client
-
-import torch
-
-from executorch.backends.qualcomm.partition.qnn_partitioner import QnnPartitioner
-from executorch.backends.qualcomm.passes.build_quant_io import BuildQuantIo
-
-from executorch.backends.qualcomm.quantizer.quantizer import QnnQuantizer, QuantDtype
-from executorch.backends.qualcomm.quantizer.utils import get_16a4w_qnn_ptq_config
-from executorch.backends.qualcomm.serialization.qnn_compile_spec_schema import (
-    QcomChipset,
-)
-from executorch.backends.qualcomm.utils.constants import QCOM_QUANTIZED_IO
-from executorch.backends.qualcomm.utils.utils import (
-    capture_program,
-    convert_linear_to_conv2d,
-    generate_htp_compiler_spec,
-    generate_qnn_executorch_compiler_spec,
-)
-from executorch.examples.qualcomm.llama2.model.static_llama import LlamaModel, ModelArgs
-from executorch.examples.qualcomm.scripts.utils import (
-    make_output_dir,
-    setup_common_args_and_variables,
-    SimpleADB,
-)
-from executorch.exir import EdgeCompileConfig, EdgeProgramManager
-from executorch.exir.capture._config import ExecutorchBackendConfig
-from executorch.exir.passes.memory_planning_pass import MemoryPlanningPass
-from executorch.exir.program._program import _get_updated_graph_signature
-from executorch.extension.llm.export.builder import DType
-
-from sentencepiece import SentencePieceProcessor
-from torch.ao.quantization.observer import MinMaxObserver
-from torch.ao.quantization.quantize_pt2e import convert_pt2e, prepare_pt2e
-
-
-soc_to_chipset_map = {
-    "SM8650": QcomChipset.SM8650,
-    "SM8550": QcomChipset.SM8550,
-    "SM8475": QcomChipset.SM8475,
-    "SM8450": QcomChipset.SM8450,
-}
-
-
-pte_filename = "llama2_qnn"
-
-
-def annotate_matmul_16a8w(gm: torch.fx.GraphModule) -> None:
-    """
-    This function is specific for matmul op 16a8w.
-    """
-
-    from executorch.backends.qualcomm.quantizer.quantizer import (
-        get_16a8w_qnn_ptq_config,
-        get_default_8bit_qnn_ptq_config,
-        QuantizationConfig,
-    )
-    from executorch.backends.qualcomm.quantizer.utils import QUANT_ANNOTATION_KEY
-    from torch.ao.quantization.quantizer import (
-        QuantizationAnnotation,
-        SharedQuantizationSpec,
-    )
-    from torch.fx import Node
-
-    def annotate_matmul(node: Node, quantization_config: QuantizationConfig):
-        input_qspec_map = {}
-        input_act = node.args[0]
-        input_spec = quantization_config.input_activation
-        input_qspec_map[input_act] = input_spec
-
-        input_act1 = node.args[1]
-        input_spec1 = quantization_config.weight
-        input_qspec_map[input_act1] = input_spec1
-
-        node.meta[QUANT_ANNOTATION_KEY] = QuantizationAnnotation(
-            input_qspec_map=input_qspec_map,
-            output_qspec=quantization_config.output_activation,
-            _annotated=True,
-        )
-
-    def annotate_cat(node: Node, quantization_config: QuantizationConfig):
-        input_nodes = node.args[0]
-
-        first_input_node = input_nodes[0]
-        input_qspec_map = {}
-        input_qspec_map[first_input_node] = quantization_config.input_activation
-        share_qparams_with_input_act0_qspec = SharedQuantizationSpec(
-            (first_input_node, node)
-        )
-
-        for input_node in input_nodes[1:]:
-            if input_node not in input_qspec_map:
-                input_qspec_map[input_node] = share_qparams_with_input_act0_qspec
-
-        node.meta[QUANT_ANNOTATION_KEY] = QuantizationAnnotation(
-            input_qspec_map=input_qspec_map,
-            output_qspec=share_qparams_with_input_act0_qspec,
-            _annotated=True,
-        )
-
-    def annotate_single_in_single_out(
-        node: Node, quantization_config: QuantizationConfig
-    ) -> None:
-
-        input_qspec_map = {}
-        input_act = node.args[0]
-        input_qspec_map[input_act] = quantization_config.input_activation
-
-        node.meta[QUANT_ANNOTATION_KEY] = QuantizationAnnotation(
-            input_qspec_map=input_qspec_map,
-            output_qspec=quantization_config.output_activation,
-            _annotated=True,
-        )
-
-    def annotate_matmul_input1(node: Node):
-        quantization_config_8a8w = get_default_8bit_qnn_ptq_config(act_symmetric=True)
-        while isinstance(node, Node) and node.op == "call_function":
-            if node.target in [
-                torch.ops.aten.permute.default,
-                torch.ops.aten.transpose.int,
-            ]:
-                annotate_single_in_single_out(node, quantization_config_8a8w)
-                node = node.args[0]
-            elif node.target == torch.ops.aten.cat.default:
-                annotate_cat(node, quantization_config_8a8w)
-                node = node.args[0][0]
-            else:
-                node = node.args[0]
-
-    quantization_config_16a8w = get_16a8w_qnn_ptq_config()
-
-    for node in gm.graph.nodes:
-        if node.op == "call_function" and node.target == torch.ops.aten.matmul.default:
-            annotate_matmul(node, quantization_config_16a8w)
-            annotate_matmul_input1(node.args[1])
-
-
-def annotate_linear_16a8w_in_affine_layer(gm: torch.fx.GraphModule) -> None:
-    from executorch.backends.qualcomm.quantizer.quantizer import (
-        get_ptq_per_channel_weight_config,
-        QuantizationConfig,
-    )
-    from executorch.backends.qualcomm.quantizer.utils import QUANT_ANNOTATION_KEY
-    from torch.ao.quantization.quantizer import QuantizationAnnotation
-    from torch.fx import Node
-
-    def annotate_conv2d(node: Node, quantization_config: QuantizationConfig) -> None:
-        input_qspec_map = {}
-        input_act = node.args[0]
-        input_spec = quantization_config.input_activation
-        input_qspec_map[input_act] = input_spec
-
-        weight = node.args[1]
-        input_qspec_map[weight] = quantization_config.weight
-
-        node.meta[QUANT_ANNOTATION_KEY] = QuantizationAnnotation(
-            input_qspec_map=input_qspec_map,
-            output_qspec=quantization_config.output_activation,
-            _annotated=True,
-        )
-
-    quantization_config_16a8w_per_channel = get_ptq_per_channel_weight_config(
-        torch.uint16, weight_dtype=torch.int8
-    )
-    for node in gm.graph.nodes:
-        if node.op == "call_function" and node.target == torch.ops.aten.conv2d.default:
-            if "nn_module_stack" in node.meta:
-                module_values_list = list(node.meta["nn_module_stack"].values())
-                full_qualified_name = module_values_list[0][0]
-                if full_qualified_name == "L['self'].llama.output":
-                    annotate_conv2d(
-                        node, quantization_config=quantization_config_16a8w_per_channel
-                    )
-
-
-def calibrate(
-    example_inputs,
-    user_prompts,
-    module: torch.fx.GraphModule,
-    tokenizer_model_path="tokenizer.model",
-):
-    sp_model = SentencePieceProcessor(model_file=tokenizer_model_path)
-    _, _, atten_mask, k_caches, v_caches = example_inputs
-
-    # TODO: change criteria & support batch inputs if necessary
-    pos = torch.tensor(0, dtype=torch.int32)
-    token_list = [sp_model.bos_id()]
-    for prompt in user_prompts.split():
-        token_list += sp_model.encode(prompt)
-
-    def sample_top_p(probs: torch.Tensor, top_p: float) -> torch.Tensor:
-        probs_sort, probs_indices = torch.sort(probs, dim=-1, descending=True)
-        probs_sum = torch.cumsum(probs_sort, dim=-1)
-        mask = probs_sum - probs_sort > top_p
-        probs_sort[mask] = 0
-        probs_sort /= probs_sort.sum(dim=-1, keepdim=True)
-        next_token = torch.multinomial(probs_sort, num_samples=1)
-        return probs_indices.gather(dim=-1, index=next_token)
-
-    with torch.no_grad():
-        while token_list[-1] != sp_model.eos_id() and pos < 128:
-            logits, new_k_caches, new_v_caches = module(
-                torch.full((1, 1), token_list[pos]),
-                torch.full((1, 1), pos),
-                atten_mask,
-                *k_caches,
-                *v_caches,
-            )
-            k_caches = [
-                torch.cat([k_cache[:, :, 1:], new_k_caches[i]], dim=-1)
-                for i, k_cache in enumerate(k_caches)
-            ]
-            v_caches = [
-                torch.cat([v_cache[:, 1:, :], new_v_caches[i]], dim=1)
-                for i, v_cache in enumerate(v_caches)
-            ]
-
-            pos += 1
-            atten_mask[0][-pos - 1] = 0
-            if pos >= len(token_list):
-                probs = torch.softmax(logits[:, -1] / 0.8, dim=-1)
-                token_list.append(sample_top_p(probs, 0.9).item())
-
-    print(f"calibration data:\n{sp_model.decode(token_list)}")
-
-
-class SingleLlama:
-    def __init__(self, llama_model) -> None:
-        super().__init__()
-        self.llama_model = llama_model
-        self.quant_dtype = None
-        self.llama_meta = self.llama_model.get_metadata()
-        self.has_quant_io = False
-        tokens, pos_ids, atten_mask, k_caches, v_caches = self.get_example_inputs()
-        self.inputs = (tokens, pos_ids, atten_mask, *k_caches, *v_caches)
-
-    def _tag_kv_ios(self, gm: torch.fx.GraphModule, kv_type):
-        if not self.has_quant_io:
-            return
-
-        # shape of k caches and v caches
-        input_cache_shape = {
-            (self.llama_meta["get_head_dim"], self.llama_meta["get_max_seq_len"]),
-            (self.llama_meta["get_max_seq_len"], self.llama_meta["get_head_dim"]),
-        }
-        for n in gm.graph.nodes:
-            if (
-                n.op == "placeholder"
-                and len(users := list(n.users)) == 1
-                and users[0].meta["val"].size()[-2:] in input_cache_shape
-            ):
-                n.meta[QCOM_QUANTIZED_IO] = kv_type
-            elif n.op == "output":
-                for a in n.args[0]:
-                    if (
-                        a.meta["val"].flatten().size()[0]
-                        == self.llama_meta["get_head_dim"]
-                    ):
-                        a.meta[QCOM_QUANTIZED_IO] = kv_type
-
-    def quantize(self, quant_dtype, custom_annotations=()):
-        self.quant_dtype = quant_dtype
-        quantizer = QnnQuantizer()
-        quantizer.set_per_channel_linear_quant(True)
-        quantizer.set_per_channel_conv_quant(True)
-
-        if quant_dtype == QuantDtype.use_8a8w:
-            pass  # default setting
-        elif quant_dtype == QuantDtype.use_16a4w:
-            quantizer.add_16bit_quant_ops(quantizer.SUPPORTED_OPS)
-            quantizer.set_bit16_op_quant_config(
-                get_16a4w_qnn_ptq_config(act_observer=MinMaxObserver)
-            )
-            quantizer.set_per_channel_weight_dtype(weight_dtype_for_16bit_act="int4")
-        else:
-            raise AssertionError(f"No support for QuantDtype {quant_dtype}.")
-        quantizer.add_custom_quant_annotations(custom_annotations)
-
-        self.has_quant_io = True
-        fx_graph_module = None
-
-        with torch.no_grad():
-            fx_graph_module = torch.export.export(
-                self.llama_model, self.inputs
-            ).module()
-            fx_graph_module = prepare_pt2e(fx_graph_module, quantizer)
-        print("Quantizing the model...")
-        calibrate(
-            self.get_example_inputs(),
-            args.prompt,
-            fx_graph_module,
-            tokenizer_model_path=args.tokenizer_model,
-        )
-
-        self.llama_model = convert_pt2e(fx_graph_module)
-
-    def lowering_modules(
-        self, work_space, kv_type=torch.uint8, soc_model=QcomChipset.SM8650
-    ):
-        executorch_config = ExecutorchBackendConfig(
-            passes=[
-                BuildQuantIo(),
-            ],
-            extract_constant_segment=False,
-            # For shared buffer, user must pass the memory address
-            # which is allocated by RPC memory to executor runner.
-            # Therefore, won't want to pre-allocate
-            # by memory manager in runtime.
-            memory_planning_pass=MemoryPlanningPass(
-                memory_planning_algo="greedy",
-                alloc_graph_input=False,
-                alloc_graph_output=False,
-            ),
-            extract_delegate_segments=True,
-        )
-        with torch.no_grad():
-            # backend option
-            backend_options = generate_htp_compiler_spec(use_fp16=False)
-            compiler_specs = generate_qnn_executorch_compiler_spec(
-                soc_model=soc_model,
-                backend_options=backend_options,
-                shared_buffer=True,
-            )
-            partitioner = QnnPartitioner(compiler_specs)
-            edge_prog = capture_program(self.llama_model, self.inputs)
-            self._tag_kv_ios(edge_prog.exported_program.graph_module, kv_type=kv_type)
-            edge_prog_mgr = EdgeProgramManager(
-                edge_programs={"forward": edge_prog.exported_program},
-                constant_methods=self.llama_meta,
-                compile_config=EdgeCompileConfig(_check_ir_validity=False),
-            )
-            edge_prog_mgr = edge_prog_mgr.to_backend(partitioner)
-            exec_prog_mgr = edge_prog_mgr.to_executorch(config=executorch_config)
-            with open(f"{work_space}/{pte_filename}.pte", "wb") as file:
-                exec_prog_mgr.write_to_file(file)
-
-    def get_example_inputs(self):
-        return self.llama_model.get_example_inputs()
-
-    def get_export_inputs(self):
-        return self.llama_model.get_export_inputs()
-
-
-def compile(args):
-    os.makedirs(args.artifact, exist_ok=True)
-    start_ts = time.time()
-    with open(args.params) as f:
-        config = ModelArgs(**json.load(f))
-        # TODO: support batch inputs if necessary
-        config.max_batch_size = 1
-        config.max_seq_len = 1024
-    state_dict = torch.load(
-        args.checkpoint, weights_only=True, map_location="cpu", mmap=True
-    )
-    end_load_ts = time.time()
-    print("torch.load checkpoint", end_load_ts - start_ts)
-    llama_instance = None
-    with torch.device("meta"):
-        llama_instance = LlamaModel(config, output_new_cache_only=True)
-    if "model" in state_dict:
-        state_dict = state_dict["model"]
-    llama_instance.load_state_dict(
-        state_dict,
-        strict=False,
-        assign=True,
-    )
-    end_load_state_dict_ts = time.time()
-    print("instance.load_state_dict", end_load_state_dict_ts - end_load_ts)
-
-    for layer in llama_instance.layers:
-        if getattr(layer.attention, "prepare_sha", None):
-            layer.attention.prepare_sha()
-    kv_type = torch.uint8
-    if args.ptq == "8a8w":
-        quant_dtype = QuantDtype.use_8a8w
-    elif args.ptq == "16a4w":
-        quant_dtype = QuantDtype.use_16a4w
-    else:
-        raise AssertionError(
-            f"No support for quant type {args.ptq}. Support 8a8w and 16a4w."
-        )
-
-    assert args.tokenizer_model is not None, "Need tokenizer model for calibration"
-
-    if args.dtype_override is not None:
-        dtype_override = DType[args.dtype_override]
-        llama_instance = llama_instance.to(dtype_override.to_torch_dtype())
-
-    llama_instance = convert_linear_to_conv2d(llama_instance)
-    single_llama = SingleLlama(llama_instance.eval())
-
-    start_quantize_ts = time.time()
-    single_llama.quantize(
-        quant_dtype,
-        custom_annotations=(
-            annotate_matmul_16a8w,
-            annotate_linear_16a8w_in_affine_layer,
-        ),
-    )
-    end_quantize_ts = time.time()
-    print("single_llama.quantize(quant_dtype)", end_quantize_ts - start_quantize_ts)
-    single_llama.lowering_modules(
-        args.artifact, kv_type=kv_type, soc_model=soc_to_chipset_map[args.model]
-    )
-    end_lowering_ts = time.time()
-    print("Complete Compile", end_lowering_ts - end_quantize_ts)
-
-
-def inference(args, pre_gen_pte=""):
-    workspace = f"/data/local/tmp/{getpass.getuser()}/executorch/single_llama"
-
-    runner_args = " ".join(
-        [
-            f"--model_path {pte_filename}.pte",
-            "--output_folder_path outputs",
-            f"--tokenizer_path {os.path.basename(args.tokenizer_bin)}",
-            f'--prompt "{args.prompt}"',
-            f"--seq_len {args.seq_len}",
-            f"--temperature {args.temperature}",
-        ]
-    )
-    runner_cmd = " ".join(
-        [
-            f"cd {workspace} &&",
-            "export ADSP_LIBRARY_PATH=. &&",
-            "export LD_LIBRARY_PATH=. &&",
-            f"./qnn_llama_runner {runner_args}",
-        ]
-    )
-
-    pte_path = (
-        f"{pre_gen_pte}/{pte_filename}.pte"
-        if pre_gen_pte
-        else f"{args.artifact}/{pte_filename}.pte"
-    )
-    adb = SimpleADB(
-        qnn_sdk=os.getenv("QNN_SDK_ROOT"),
-        build_path=f"{args.build_folder}",
-        pte_path=pte_path,
-        workspace=workspace,
-        device_id=args.device,
-        host_id=args.host,
-        soc_model=args.model,
-        shared_buffer=args.shared_buffer,
-        runner="examples/qualcomm/qnn_llama_runner",
-    )
-    # No pregen inputs, input_list is not required
-    adb.push(inputs=[], input_list="", files=[args.tokenizer_bin])
-    adb.execute(custom_runner_cmd=runner_cmd)
-
-    # collect output data
-    output_data_folder = f"{args.artifact}/outputs"
-    make_output_dir(output_data_folder)
-    outputs = []
-
-    def post_process():
-        for f in sorted(
-            os.listdir(output_data_folder), key=lambda f: int(f.split("_")[1])
-        ):
-            with codecs.open(
-                os.path.join(output_data_folder, f),
-                "r",
-                encoding="utf-8",
-                errors="replace",
-            ) as fdata:
-                outputs.append(fdata.read())
-
-    adb.pull(output_path=args.artifact, callback=post_process)
-
-    if args.ip and args.port != -1:
-        with Client((args.ip, args.port)) as conn:
-            conn.send(
-                json.dumps(
-                    {
-                        "result": outputs,
-                    }
-                )
-            )
-    else:
-        for idx, output in enumerate(outputs):
-            print(f"Results[{idx}]:\n{output}")
-
-
-# flake8: noqa: C901
-if __name__ == "__main__":
-    parser = setup_common_args_and_variables()
-    parser.add_argument(
-        "-a",
-        "--artifact",
-        help="path for storing generated artifacts and output by this example. Default ./llama2_qnn",
-        default="./llama2_qnn",
-        type=str,
-    )
-
-    parser.add_argument(
-        "-P",
-        "--ptq",
-        help="If specified, will do PTQ quantization. default is 16bits activation and 4bits weight. Support 8a8w and 16a4w.",
-        default="16a4w",
-    )
-
-    parser.add_argument(
-        "--checkpoint",
-        help="Pass llama2 checkpoint.",
-        required=True,
-        type=str,
-    )
-
-    parser.add_argument(
-        "--params",
-        help="Pass llama2 params json file.",
-        required=True,
-        type=str,
-    )
-
-    parser.add_argument(
-        "--tokenizer_bin",
-        help="Pass llama2 tokenizer binary.",
-        required=True,
-        type=str,
-    )
-
-    parser.add_argument(
-        "--tokenizer_model",
-        help="Pass llama2 tokenizer model.",
-        type=str,
-        default=None,
-    )
-
-    parser.add_argument(
-        "--prompt",
-        help="User prompts for llama2.",
-        required=True,
-        type=str,
-    )
-
-    parser.add_argument(
-        "--seq_len",
-        help="Ouput sequence length for llama2.",
-        default=128,
-        type=int,
-    )
-
-    parser.add_argument(
-        "--temperature",
-        help="Sampling temperature for llama2.",
-        default=0.8,
-        type=float,
-    )
-
-    parser.add_argument(
-        "-d",
-        "--dtype-override",
-        default="fp32",
-        type=str,
-        choices=["fp32", "fp16"],
-        help="Override the dtype of the model (default is the checkpoint dtype). Options: fp32",
-    )
-
-    parser.add_argument(
-        "--pre_gen_pte",
-        help="Run the Pre-generated llama2 in the given directory",
-        type=str,
-    )
-
-    args = parser.parse_args()
-    if args.compile_only and args.pre_gen_pte:
-        exit("Cannot set both compile_only and pre_gen_pte as true")
-
-    if args.pre_gen_pte:
-        inference(args, args.pre_gen_pte)
-        exit(f"Finish the running pre_gen_pte from {args.pre_gen_pte}")
-
-    compile(args)
-    if args.compile_only:
-        exit(f"Finish compile_only and save to {args.artifact}")
-
-    try:
-        inference(args)
-    except Exception as e:
-        if args.ip and args.port != -1:
-            with Client((args.ip, args.port)) as conn:
-                conn.send(json.dumps({"Error": str(e)}))
-        else:
-            raise Exception(e)
diff --git a/examples/qualcomm/llama2/llama_qaihub.py b/examples/qualcomm/llama2/llama_qaihub.py
deleted file mode 100644
index b5dd6ab458..0000000000
--- a/examples/qualcomm/llama2/llama_qaihub.py
+++ /dev/null
@@ -1,235 +0,0 @@
-# Copyright (c) Qualcomm Innovation Center, Inc.
-# All rights reserved
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-import gc
-import os
-
-import executorch.backends.qualcomm.python.PyQnnManagerAdaptor as PyQnnManagerAdaptor
-
-import torch
-from executorch.backends.qualcomm.serialization.qnn_compile_spec_schema import (  # noqa: F401
-    QcomChipset,
-)
-from executorch.backends.qualcomm.utils.utils import (
-    canonicalize_program,
-    from_context_binary,
-    generate_htp_compiler_spec,
-    generate_qnn_executorch_compiler_spec,
-    generate_qnn_executorch_option,
-)
-from executorch.examples.qualcomm.scripts.utils import (
-    setup_common_args_and_variables,
-    SimpleADB,
-)
-from executorch.exir.backend.backend_api import to_backend
-from executorch.exir.passes.memory_planning_pass import MemoryPlanningPass
-
-
-def main():
-    parser = setup_common_args_and_variables()
-
-    parser.add_argument(
-        "-a",
-        "--artifact",
-        help="path for storing generated artifacts by this example. Default ./llama2_qai_hub",
-        default="./llama2_qai_hub",
-        type=str,
-    )
-
-    parser.add_argument(
-        "--context_binaries",
-        help="path to context binaries generated from qai_hub",
-        required=True,
-    )
-
-    parser.add_argument(
-        "--use_prompt_processor",
-        help="tokens will be evaluated all at once",
-        default=False,
-        action="store_true",
-    )
-
-    parser.add_argument(
-        "--tokenizer_bin",
-        help="llama2 tokenizer binary",
-        required=True,
-        type=str,
-    )
-
-    parser.add_argument(
-        "--seq_len",
-        help="ouput sequence length for llama2",
-        default=128,
-        type=int,
-    )
-
-    parser.add_argument(
-        "--temperature",
-        help="sampling temperature for llama2",
-        default=0.8,
-        type=float,
-    )
-
-    parser.add_argument(
-        "--prompt",
-        help="user prompts for llama2",
-        required=True,
-        type=str,
-    )
-
-    parser.add_argument(
-        "--pre_gen_pte",
-        help="folder path to pre-compiled ptes",
-        default=None,
-        type=str,
-    )
-
-    args = parser.parse_args()
-    target_names = (
-        [
-            f"llama_v2_7b_chat_quantized_Llama2_PromptProcessor_{i}_Quantized.bin"
-            for i in range(1, 5)
-        ]
-        if args.use_prompt_processor
-        else [
-            f"llama_v2_7b_chat_quantized_Llama2_TokenGenerator_{i}_Quantized.bin"
-            for i in range(1, 5)
-        ]
-    )
-
-    # common part for compile & inference
-    backend_options = generate_htp_compiler_spec(
-        use_fp16=False,
-        use_multi_contexts=True,
-    )
-    compiler_specs = generate_qnn_executorch_compiler_spec(
-        soc_model=getattr(QcomChipset, args.model),
-        backend_options=backend_options,
-        is_from_context_binary=True,
-    )
-
-    if args.pre_gen_pte is None:
-        # create custom operators as context loader
-        bundle_programs = [
-            from_context_binary(f"{args.context_binaries}/{target}", f"ctx_loader_{i}")
-            for i, target in enumerate(target_names)
-        ]
-        # lower with QnnBackend
-        lowered_modules = [
-            to_backend("QnnBackend", prog["edge_program"], compiler_specs)
-            for prog in bundle_programs
-        ]
-        # setup spill-fill buffer for relieving runtime memory usage
-        canonicalize_program(lowered_modules)
-        # export pte files
-        pte_name, pte_files = "qaihub_llama7b", []
-        for i in range(len(target_names)):
-            memory_planning_pass = MemoryPlanningPass(
-                memory_planning_algo="greedy",
-                alloc_graph_input=False,
-                alloc_graph_output=False,
-            )
-            pte_files.append(f"{args.artifact}/{pte_name}_{i}.pte")
-            with open(pte_files[-1], "wb") as file:
-                file.write(
-                    lowered_modules[0].buffer(memory_planning=memory_planning_pass)
-                )
-            # gc for reducing host memory consuming
-            bundle_programs.pop(0)
-            lowered_modules.pop(0)
-            gc.collect()
-    else:
-        pte_name = "qaihub_llama7b"
-        pte_files = [f"{args.pre_gen_pte}/{pte_name}_{i}.pte" for i in range(4)]
-
-    if args.compile_only:
-        return
-
-    def get_logit_encoding(path_to_last_shard: str):
-        with open(f"{args.context_binaries}/{path_to_last_shard}", "rb") as f:
-            ctx_bin = f.read()
-            qnn_mgr = PyQnnManagerAdaptor.QnnManager(
-                generate_qnn_executorch_option(compiler_specs), ctx_bin
-            )
-            assert qnn_mgr.Init().value == 0, "failed to load context binary"
-            qnn_mgr.AllocateTensor()
-            logits = qnn_mgr.GetGraphOutputs()[-1]
-            encoding = logits.GetEncodings()
-            qnn_mgr.Destroy()
-            return encoding.data["scale"].item(), encoding.data["offset"].item()
-
-    # setup required paths accordingly
-    # qnn_sdk       : QNN SDK path setup in environment variable
-    # artifact_path : path where artifacts were built
-    # pte_path      : path where executorch binary was stored
-    # device_id     : serial number of android device
-    # workspace     : folder for storing artifacts on android device
-    adb = SimpleADB(
-        qnn_sdk=os.getenv("QNN_SDK_ROOT"),
-        build_path=args.build_folder,
-        pte_path=pte_files,
-        workspace=f"/data/local/tmp/executorch/{pte_name}",
-        device_id=args.device,
-        host_id=args.host,
-        soc_model=args.model,
-        runner="examples/qualcomm/qnn_qaihub_llama_runner",
-    )
-    output_file = "result.txt"
-    pos_embs_file = ["freq_cos", "freq_sin"]
-    scale, offset = get_logit_encoding(target_names[-1])
-    runner_args = [
-        *[
-            f"--sharded_{i+1}_path {os.path.basename(pte_file)}"
-            for i, pte_file in enumerate(pte_files)
-        ],
-        *[f"--{fname}_path {fname}.raw" for fname in pos_embs_file],
-        f"--output_path {adb.output_folder}/{output_file}",
-        f"--tokenizer_path {os.path.basename(args.tokenizer_bin)}",
-        f"--prompt '{args.prompt}'",
-        f"--temperature {args.temperature}",
-        f"--seq_len {args.seq_len}",
-        f"--eval_mode {0 if args.use_prompt_processor else 1}",
-        f"--logits_scale {scale}",
-        f"--logits_offset {-offset}",
-    ]
-    runner_cmds = " ".join(
-        [
-            f"cd {adb.workspace} &&",
-            "export ADSP_LIBRARY_PATH=. &&",
-            "export LD_LIBRARY_PATH=. &&",
-            f"./qnn_qaihub_llama_runner {' '.join(runner_args)}",
-        ]
-    )
-
-    def compute_pos_embedding():
-        head_dim, max_seq_len, theta = 128, 1024, 10000.0
-        base = torch.arange(0, head_dim, 2)
-        freqs = 1.0 / (theta ** (base[: (head_dim // 2)].float() / head_dim))
-        t = torch.arange(max_seq_len * 2)
-        freqs = torch.outer(t, freqs).float()
-        freqs_cis = torch.polar(torch.ones_like(freqs), freqs)
-        freqs_cis = freqs_cis[0:max_seq_len]
-        freqs_real = torch.view_as_real(freqs_cis)
-        return freqs_real[:, :, 0], freqs_real[:, :, 1]
-
-    def post_process():
-        with open(f"{args.artifact}/outputs/{output_file}", "r") as f:
-            print(f.read())
-
-    custom_files = [args.tokenizer_bin]
-    for var_name, freq in zip(pos_embs_file, compute_pos_embedding()):
-        custom_files.append(f"{adb.working_dir}/{var_name}.raw")
-        scale, offset = (freq.max() - freq.min()) / 65535, 32768
-        freq = (freq / scale + offset).clip(min=0, max=65535).detach()
-        freq.to(dtype=torch.uint16).numpy().tofile(custom_files[-1])
-
-    adb.push(files=custom_files)
-    adb.execute(custom_runner_cmd=runner_cmds)
-    adb.pull(args.artifact, callback=post_process)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/examples/qualcomm/llama2/qaihub_runner/io_memory.cpp b/examples/qualcomm/llama2/qaihub_runner/io_memory.cpp
deleted file mode 100644
index c7e3df9996..0000000000
--- a/examples/qualcomm/llama2/qaihub_runner/io_memory.cpp
+++ /dev/null
@@ -1,481 +0,0 @@
-/*
- * Copyright (c) Qualcomm Innovation Center, Inc.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#include <fstream>
-
-#include <executorch/examples/qualcomm/llama2/qaihub_runner/io_memory.h>
-#include <executorch/runtime/core/exec_aten/util/tensor_util.h>
-
-namespace torch {
-namespace executor {
-
-Memory::Memory(
-    const std::vector<std::string>& pos_embs_path,
-    std::vector<std::shared_ptr<Module>>& modules)
-    : data_ptr_(nullptr, [](void*) {}),
-      input_tensors_(4),
-      output_tensors_(4),
-      pos_embs_path_(pos_embs_path),
-      modules_(modules) {}
-
-Memory::~Memory() {}
-
-void* Memory::get_mutable_ptr() {
-  return data_ptr_.get();
-}
-
-std::vector<Tensor> Memory::get_input_tensors(int shard_index) {
-  std::vector<Tensor> ret;
-  ret.reserve(input_tensors_.size());
-  for (TensorImpl* impl : input_tensors_[shard_index]) {
-    ret.emplace_back(Tensor(impl));
-  }
-  return ret;
-}
-
-std::vector<Tensor> Memory::get_output_tensors(int shard_index) {
-  std::vector<Tensor> ret;
-  ret.reserve(output_tensors_.size());
-  for (TensorImpl* impl : output_tensors_[shard_index]) {
-    ret.emplace_back(Tensor(impl));
-  }
-  return ret;
-}
-
-BertMemory::BertMemory(
-    const std::vector<std::string>& pos_embs_path,
-    std::vector<std::shared_ptr<Module>>& modules)
-    : Memory(pos_embs_path, modules) {
-  data_ptr_ = std::unique_ptr<void, void (*)(void*)>(
-      new IO, [](void* ptr) { delete static_cast<IO*>(ptr); });
-}
-
-void BertMemory::prepare_io(
-    const std::vector<Result<MethodMeta>>& methods_meta) {
-  IO* ptr = static_cast<IO*>(data_ptr_.get());
-  std::memset(ptr, 0, sizeof(IO));
-
-  for (int i = 0; i < 4; ++i) {
-    ET_CHECK_MSG(
-        methods_meta[i].ok(),
-        "Failed to get method_meta 0x%x",
-        static_cast<uint32_t>(methods_meta[i].error()));
-  }
-  // [I] position embedding initialization
-  for (size_t i = 0; i < pos_embs_path_.size(); ++i) {
-    std::ifstream fin(pos_embs_path_[i], std::ios::binary);
-    fin.read(
-        reinterpret_cast<char*>(
-            i == 0 ? ptr->position_ids_cos : ptr->position_ids_sin),
-        1024 * 64 * 2);
-    fin.close();
-  }
-  // [I]: shard1,2,3,4
-  {
-    // [I]: input_ids
-    Result<TensorInfo> input_ids = methods_meta[0]->input_tensor_meta(0);
-    input_ids_ = std::make_unique<TensorImpl>(
-        input_ids->scalar_type(),
-        input_ids->sizes().size(),
-        const_cast<TensorImpl::SizesType*>(input_ids->sizes().data()),
-        ptr->input_ids,
-        const_cast<TensorImpl::DimOrderType*>(input_ids->dim_order().data()));
-    input_tensors_[0].push_back(input_ids_.get());
-    // [I]: atten_mask
-    Result<TensorInfo> atten_mask = methods_meta[0]->input_tensor_meta(1);
-    attention_mask_ = std::make_unique<TensorImpl>(
-        atten_mask->scalar_type(),
-        atten_mask->sizes().size(),
-        const_cast<TensorImpl::SizesType*>(atten_mask->sizes().data()),
-        ptr->attention_mask,
-        const_cast<TensorImpl::DimOrderType*>(atten_mask->dim_order().data()));
-    input_tensors_[0].push_back(attention_mask_.get());
-    // [I]: pos_ids_cos
-    Result<TensorInfo> pos_ids_cos = methods_meta[0]->input_tensor_meta(2);
-    position_ids_cos_ = std::make_unique<TensorImpl>(
-        pos_ids_cos->scalar_type(),
-        pos_ids_cos->sizes().size(),
-        const_cast<TensorImpl::SizesType*>(pos_ids_cos->sizes().data()),
-        ptr->position_ids_cos,
-        const_cast<TensorImpl::DimOrderType*>(pos_ids_cos->dim_order().data()));
-    input_tensors_[0].push_back(position_ids_cos_.get());
-    // [I]: pos_ids_sin
-    Result<TensorInfo> pos_ids_sin = methods_meta[0]->input_tensor_meta(3);
-    position_ids_sin_ = std::make_unique<TensorImpl>(
-        pos_ids_sin->scalar_type(),
-        pos_ids_sin->sizes().size(),
-        const_cast<TensorImpl::SizesType*>(pos_ids_sin->sizes().data()),
-        ptr->position_ids_sin,
-        const_cast<TensorImpl::DimOrderType*>(pos_ids_sin->dim_order().data()));
-    input_tensors_[0].push_back(position_ids_sin_.get());
-    // [IO]: hidden_state => [I] shard2,3,4
-    int output_index = 8 * 2 * 32; // layres*(k + v caches)*heads
-    Result<TensorInfo> hidden_state =
-        methods_meta[0]->output_tensor_meta(output_index);
-    hidden_state_ = std::make_unique<TensorImpl>(
-        hidden_state->scalar_type(),
-        hidden_state->sizes().size(),
-        const_cast<TensorImpl::SizesType*>(hidden_state->sizes().data()),
-        ptr->hidden_state,
-        const_cast<TensorImpl::DimOrderType*>(
-            hidden_state->dim_order().data()));
-    // reuse inputs for following tensors
-    for (int shard_index = 1; shard_index < 4; ++shard_index) {
-      // inpus of shard1,2,3: hidden_state, atten_mask, pos_ids_cos, pos_ids_sin
-      input_tensors_[shard_index].push_back(hidden_state_.get());
-      input_tensors_[shard_index].push_back(attention_mask_.get());
-      input_tensors_[shard_index].push_back(position_ids_cos_.get());
-      input_tensors_[shard_index].push_back(position_ids_sin_.get());
-    }
-  }
-  // [O] kv_cache for shard1,2,3,4
-  for (int offset = 0, shard_index = 0; shard_index < 4;
-       offset += 8, shard_index++) {
-    for (int layer = 0; layer < 8; ++layer) {
-      for (int cache_group = 0; cache_group < 2; ++cache_group) {
-        for (int head = 0; head < 32; ++head) {
-          int index = 64 * layer + cache_group * 32 + head;
-          Result<TensorInfo> kv_cache =
-              methods_meta[shard_index]->output_tensor_meta(index);
-          std::vector<std::unique_ptr<TensorImpl>>& cache =
-              (cache_group == 0 ? v_cache_ : k_cache_);
-          cache.emplace_back(std::make_unique<TensorImpl>(
-              kv_cache->scalar_type(),
-              kv_cache->sizes().size(),
-              const_cast<TensorImpl::SizesType*>(kv_cache->sizes().data()),
-              cache_group == 0 ? ptr->v_cache[layer + offset][head]
-                               : ptr->k_cache[layer + offset][head],
-              const_cast<TensorImpl::DimOrderType*>(
-                  kv_cache->dim_order().data())));
-          output_tensors_[shard_index].push_back(cache.back().get());
-        }
-      }
-    }
-  }
-  // [O]: hidden_state for shard1,2,3
-  for (int shard_index = 0; shard_index < 3; ++shard_index) {
-    output_tensors_[shard_index].push_back(hidden_state_.get());
-  }
-  // [O]: logits
-  {
-    int output_index = 8 * 2 * 32; // layers*(k + v caches)*heads
-    Result<TensorInfo> logits =
-        methods_meta[3]->output_tensor_meta(output_index);
-    logits_ = std::make_unique<TensorImpl>(
-        logits->scalar_type(),
-        logits->sizes().size(),
-        const_cast<TensorImpl::SizesType*>(logits->sizes().data()),
-        ptr->logits,
-        const_cast<TensorImpl::DimOrderType*>(logits->dim_order().data()));
-    output_tensors_[3].push_back(logits_.get());
-  }
-}
-
-void BertMemory::update_io(
-    int64_t cur_token,
-    int64_t pos,
-    std::vector<std::vector<Tensor>>& output_tensors) {
-  (void)output_tensors;
-  IO* ptr = static_cast<IO*>(data_ptr_.get());
-  static int num_tokens_generated = 0;
-  int seq_len = 1024, last_index = seq_len - 1;
-  // refill past token ids, which is equivalent to following snippet:
-  // --->
-  // for (int i = 0; i < last_index; ++i) {
-  //   ptr->input_ids[i] = ptr->input_ids[i + 1];
-  // }
-  // ptr->input_ids[last_index] = static_cast<int32_t>(cur_token);
-  // <---
-  int32_t* new_addr = ++num_tokens_generated + ptr->input_ids;
-  new_addr[last_index] = static_cast<int32_t>(cur_token);
-  input_ids_->set_data(new_addr);
-  // update causal mask for next token
-  int tokens = pos + 1, start = last_index - tokens;
-  for (int i = last_index; tokens >= 0; --i, --tokens) {
-    ptr->attention_mask[i * seq_len + start] = 65535;
-  }
-}
-
-KVCachedMemory::KVCachedMemory(
-    const std::vector<std::string>& pos_embs_path,
-    std::vector<std::shared_ptr<Module>>& modules)
-    : Memory(pos_embs_path, modules) {
-  data_ptr_ = std::unique_ptr<void, void (*)(void*)>(
-      new IO, [](void* ptr) { delete static_cast<IO*>(ptr); });
-  futures_ = std::vector<std::future<void>>(thread_pool_.num_workers());
-}
-
-void KVCachedMemory::prepare_io(
-    const std::vector<Result<MethodMeta>>& methods_meta) {
-  IO* ptr = static_cast<IO*>(data_ptr_.get());
-  std::memset(ptr, 0, sizeof(IO));
-
-  for (int i = 0; i < 4; ++i) {
-    ET_CHECK_MSG(
-        methods_meta[i].ok(),
-        "Failed to get method_meta 0x%x",
-        static_cast<uint32_t>(methods_meta[i].error()));
-  }
-  // [I] position embedding initialization
-  for (size_t i = 0; i < pos_embs_path_.size(); ++i) {
-    std::ifstream fin(pos_embs_path_[i], std::ios::binary);
-    fin.read(
-        reinterpret_cast<char*>(
-            i == 0 ? ptr->position_ids_cos : ptr->position_ids_sin),
-        1024 * 64 * 2);
-    fin.close();
-  }
-  // [I]: shard1,2,3,4
-  {
-    // [I]: input_ids
-    Result<TensorInfo> input_ids = methods_meta[0]->input_tensor_meta(0);
-    input_ids_ = std::make_unique<TensorImpl>(
-        input_ids->scalar_type(),
-        input_ids->sizes().size(),
-        const_cast<TensorImpl::SizesType*>(input_ids->sizes().data()),
-        &ptr->input_ids,
-        const_cast<TensorImpl::DimOrderType*>(input_ids->dim_order().data()));
-    input_tensors_[0].push_back(input_ids_.get());
-    // [I]: atten_mask
-    Result<TensorInfo> atten_mask = methods_meta[0]->input_tensor_meta(1);
-    attention_mask_ = std::make_unique<TensorImpl>(
-        atten_mask->scalar_type(),
-        atten_mask->sizes().size(),
-        const_cast<TensorImpl::SizesType*>(atten_mask->sizes().data()),
-        ptr->attention_mask,
-        const_cast<TensorImpl::DimOrderType*>(atten_mask->dim_order().data()));
-    input_tensors_[0].push_back(attention_mask_.get());
-    // [I]: pos_ids_cos
-    Result<TensorInfo> pos_ids_cos = methods_meta[0]->input_tensor_meta(2);
-    position_ids_cos_ = std::make_unique<TensorImpl>(
-        pos_ids_cos->scalar_type(),
-        pos_ids_cos->sizes().size(),
-        const_cast<TensorImpl::SizesType*>(pos_ids_cos->sizes().data()),
-        ptr->position_ids_cos,
-        const_cast<TensorImpl::DimOrderType*>(pos_ids_cos->dim_order().data()));
-    input_tensors_[0].push_back(position_ids_cos_.get());
-    // [I]: pos_ids_sin
-    Result<TensorInfo> pos_ids_sin = methods_meta[0]->input_tensor_meta(3);
-    position_ids_sin_ = std::make_unique<TensorImpl>(
-        pos_ids_sin->scalar_type(),
-        pos_ids_sin->sizes().size(),
-        const_cast<TensorImpl::SizesType*>(pos_ids_sin->sizes().data()),
-        ptr->position_ids_sin,
-        const_cast<TensorImpl::DimOrderType*>(pos_ids_sin->dim_order().data()));
-    input_tensors_[0].push_back(position_ids_sin_.get());
-    // [IO]: hidden_state => [I] shard2,3,4
-    int output_index = 8 * 2 * 32; // layres*(k + v caches)*heads
-    Result<TensorInfo> hidden_state =
-        methods_meta[0]->output_tensor_meta(output_index);
-    hidden_state_ = std::make_unique<TensorImpl>(
-        hidden_state->scalar_type(),
-        hidden_state->sizes().size(),
-        const_cast<TensorImpl::SizesType*>(hidden_state->sizes().data()),
-        ptr->hidden_state,
-        const_cast<TensorImpl::DimOrderType*>(
-            hidden_state->dim_order().data()));
-    // reuse inputs for following tensors
-    for (int shard_index = 1; shard_index < 4; ++shard_index) {
-      // inpus of shard1,2,3: hidden_state, atten_mask, pos_ids_cos, pos_ids_sin
-      input_tensors_[shard_index].push_back(hidden_state_.get());
-      input_tensors_[shard_index].push_back(attention_mask_.get());
-      input_tensors_[shard_index].push_back(position_ids_cos_.get());
-      input_tensors_[shard_index].push_back(position_ids_sin_.get());
-    }
-  }
-  // [I] kv_cache for shard1,2,3,4
-  for (int offset = 0, shard_index = 0, v_stride = 1023 * 128; shard_index < 4;
-       offset += 8, shard_index++) {
-    for (int layer = 0; layer < 8; ++layer) {
-      for (int cache_group = 0; cache_group < 2; ++cache_group) {
-        for (int head = 0; head < 32; ++head) {
-          // bypass hidden_state(input_ids), atten_mask, pos_cos, pos_sin
-          int index = 64 * layer + cache_group * 32 + head + 4;
-          Result<TensorInfo> kv_cache =
-              methods_meta[shard_index]->input_tensor_meta(index);
-          std::vector<std::unique_ptr<TensorImpl>>& cache =
-              (cache_group == 0 ? k_cache_in_ : v_cache_in_);
-
-          void* cache_ptr = (cache_group == 0)
-              ? static_cast<void*>(ptr->k_cache[layer + offset][head])
-              : static_cast<void*>(
-                    ptr->v_cache[layer + offset] + head * v_stride);
-
-          cache.emplace_back(std::make_unique<TensorImpl>(
-              kv_cache->scalar_type(),
-              kv_cache->sizes().size(),
-              const_cast<TensorImpl::SizesType*>(kv_cache->sizes().data()),
-              cache_ptr,
-              const_cast<TensorImpl::DimOrderType*>(
-                  kv_cache->dim_order().data())));
-          input_tensors_[shard_index].push_back(cache.back().get());
-        }
-      }
-    }
-  }
-  // [O] kv_cache for shard1,2,3,4
-  for (int offset = 0, shard_index = 0, v_stride = 1023 * 128; shard_index < 4;
-       offset += 8, shard_index++) {
-    for (int layer = 0; layer < 8; ++layer) {
-      for (int cache_group = 0; cache_group < 2; ++cache_group) {
-        for (int head = 0; head < 32; ++head) {
-          int index = 64 * layer + cache_group * 32 + head;
-          Result<TensorInfo> kv_cache =
-              methods_meta[shard_index]->output_tensor_meta(index);
-          std::vector<std::unique_ptr<TensorImpl>>& cache =
-              (cache_group == 0 ? v_cache_out_ : k_cache_out_);
-
-          void* cache_ptr = (cache_group == 0)
-              ? static_cast<void*>(
-                    ptr->v_cache[layer + offset] + (head + 1) * v_stride)
-              : static_cast<void*>(ptr->k_cache_out[layer + offset][head]);
-
-          cache.emplace_back(std::make_unique<TensorImpl>(
-              kv_cache->scalar_type(),
-              kv_cache->sizes().size(),
-              const_cast<TensorImpl::SizesType*>(kv_cache->sizes().data()),
-              cache_ptr,
-              const_cast<TensorImpl::DimOrderType*>(
-                  kv_cache->dim_order().data())));
-          output_tensors_[shard_index].push_back(cache.back().get());
-        }
-      }
-    }
-  }
-  // [O]: hidden_state for shard1,2,3
-  for (int shard_index = 0; shard_index < 3; ++shard_index) {
-    output_tensors_[shard_index].push_back(hidden_state_.get());
-  }
-  // [O]: logits
-  {
-    int output_index = 8 * 2 * 32; // layres*(k + v caches)*heads
-    Result<TensorInfo> logits =
-        methods_meta[3]->output_tensor_meta(output_index);
-    logits_ = std::make_unique<TensorImpl>(
-        logits->scalar_type(),
-        logits->sizes().size(),
-        const_cast<TensorImpl::SizesType*>(logits->sizes().data()),
-        ptr->logits,
-        const_cast<TensorImpl::DimOrderType*>(logits->dim_order().data()));
-    output_tensors_[3].push_back(logits_.get());
-  }
-  // thread pool jobs
-  for (int i = 0, range = 1024 / thread_pool_.num_workers();
-       i < thread_pool_.num_workers();
-       ++i) {
-    lr_update_kv_.push_back(
-        {.start = i * range, .end = (i + 1) * range, .step = 1});
-  }
-}
-
-void KVCachedMemory::update_io(
-    int64_t cur_token,
-    int64_t pos,
-    std::vector<std::vector<Tensor>>& output_tensors) {
-  IO* ptr = static_cast<IO*>(data_ptr_.get());
-  int seq_len = 1023;
-  // update input_ids
-  ptr->input_ids = static_cast<int32_t>(cur_token);
-  // update causal mask for next token
-  ptr->attention_mask[seq_len - pos] = 65535;
-  // update position_ids
-  position_ids_cos_->set_data(position_ids_cos_->mutable_data<uint16_t>() + 64);
-  position_ids_sin_->set_data(position_ids_sin_->mutable_data<uint16_t>() + 64);
-
-  auto update_kv = [&](void* arg) {
-    LoopRange* lr = static_cast<LoopRange*>(arg);
-    // update v_cache
-    for (int i = lr->start; i < lr->end; i += lr->step) {
-      v_cache_in_[i]->set_data(v_cache_in_[i]->mutable_data<uint8_t>() + 128);
-      v_cache_out_[i]->set_data(v_cache_out_[i]->mutable_data<uint8_t>() + 128);
-    }
-    // update output tensors of v_cache, 256 is the number of kvs per shard
-    int shard = lr->start >> 8, offset = shard << 8;
-    int start = lr->start - offset, end = lr->end - offset;
-    for (int cache_stride = start; cache_stride < end; cache_stride += 32) {
-      for (int cache_group = 0; cache_group < 2; ++cache_group) {
-        for (int head = 0; head < 32; ++head) {
-          // k, v are placed interleaved
-          int index = (cache_stride << 1) + (cache_group << 5) + head;
-          ET_CHECK_MSG(
-              modules_[shard]->set_output_data_ptr(
-                  output_tensors[shard][index], index) == Error::Ok,
-              "failed to set output tensor for module %d's %d'th output "
-              "while updating kv_cache output tensors",
-              shard,
-              index);
-        }
-      }
-    }
-  };
-  for (int i = 0; i < lr_update_kv_.size(); ++i) {
-    futures_[i] = std::move(thread_pool_.issue(update_kv, &lr_update_kv_[i]));
-  }
-  // update k_cache by single thread, this part is cpu cache sensitive
-  for (int i = 0; i < k_cache_in_.size(); ++i) {
-    uint8_t* ptr_in = k_cache_in_[i]->mutable_data<uint8_t>();
-    const uint8_t* ptr_out = k_cache_out_[i]->data<uint8_t>();
-    for (size_t j = 0, offset = seq_len; j < 128; ++j, offset += seq_len) {
-      ptr_in[offset] = ptr_out[j];
-    }
-    k_cache_in_[i]->set_data(ptr_in + 1);
-  }
-  for (auto& future : futures_) {
-    future.wait();
-  }
-}
-
-ThreadPool::ThreadPool() : stop_(false) {
-  size_t hc = (std::thread::hardware_concurrency() + 3) / 4;
-  // maximum number should be divisible by head dimension which equals to 32
-  num_workers_ = min(32, hc * 4);
-  for (size_t i = 0; i < num_workers_; ++i) {
-    threads_.emplace_back([this]() {
-      while (1) {
-        std::unique_lock<std::mutex> lock(mutex_);
-        cv_.wait(lock, [this] { return !jobs_.empty() || stop_; });
-
-        if (stop_ && jobs_.empty())
-          return;
-
-        JobInfo job_info(std::move(jobs_.front()));
-        jobs_.pop();
-        lock.unlock();
-        job_info.func(job_info.arg);
-      }
-    });
-  }
-}
-
-ThreadPool::~ThreadPool() {
-  std::unique_lock<std::mutex> lock(mutex_);
-  stop_ = true;
-  lock.unlock();
-  cv_.notify_all();
-  for (auto& thread : threads_) {
-    thread.join();
-  }
-}
-
-std::future<void> ThreadPool::issue(
-    std::function<void(void*)> func,
-    void* arg) {
-  std::unique_lock<std::mutex> lock(mutex_);
-  jobs_.push(JobInfo(std::packaged_task<void(void*)>(func), arg));
-  std::future<void> f = std::move(jobs_.back().func.get_future());
-  lock.unlock();
-  cv_.notify_one();
-  return f;
-}
-
-size_t ThreadPool::num_workers() {
-  return num_workers_;
-}
-
-} // namespace executor
-} // namespace torch
diff --git a/examples/qualcomm/llama2/qaihub_runner/io_memory.h b/examples/qualcomm/llama2/qaihub_runner/io_memory.h
deleted file mode 100644
index 2025ec6fa4..0000000000
--- a/examples/qualcomm/llama2/qaihub_runner/io_memory.h
+++ /dev/null
@@ -1,149 +0,0 @@
-/*
- * Copyright (c) Qualcomm Innovation Center, Inc.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#pragma once
-
-#include <cstdint>
-#include <future>
-#include <memory>
-#include <queue>
-#include <thread>
-#include <vector>
-
-#include <executorch/extension/module/module.h>
-#include <executorch/runtime/executor/method_meta.h>
-
-namespace torch {
-namespace executor {
-
-class Memory {
- public:
-  Memory(
-      const std::vector<std::string>& pos_embs_path,
-      std::vector<std::shared_ptr<Module>>& modules);
-  virtual ~Memory();
-  virtual void prepare_io(
-      const std::vector<Result<MethodMeta>>& methods_meta) = 0;
-  virtual void update_io(
-      int64_t cur_token,
-      int64_t pos,
-      std::vector<std::vector<Tensor>>& output_tensors) = 0;
-  void* get_mutable_ptr();
-  std::vector<Tensor> get_input_tensors(int shard_index);
-  std::vector<Tensor> get_output_tensors(int shard_index);
-
- protected:
-  std::unique_ptr<void, void (*)(void*)> data_ptr_;
-  std::vector<std::vector<TensorImpl*>> input_tensors_;
-  std::vector<std::vector<TensorImpl*>> output_tensors_;
-  std::vector<std::string> pos_embs_path_;
-  std::vector<std::shared_ptr<Module>> modules_;
-};
-
-class BertMemory : public Memory {
- public:
-  BertMemory(
-      const std::vector<std::string>& pos_embs_path,
-      std::vector<std::shared_ptr<Module>>& modules);
-  void prepare_io(const std::vector<Result<MethodMeta>>& methods_meta) override;
-  void update_io(
-      int64_t cur_token,
-      int64_t pos,
-      std::vector<std::vector<Tensor>>& output_tensors) override;
-  struct IO {
-    int32_t input_ids[1024 * 2];
-    uint16_t hidden_state[1024 * 4096];
-    uint16_t attention_mask[1024 * 1024];
-    uint16_t position_ids_cos[1024 * 64];
-    uint16_t position_ids_sin[1024 * 64];
-    uint8_t k_cache[32][32][128 * 1024];
-    uint8_t v_cache[32][32][1024 * 128];
-    uint16_t logits[32000];
-  };
-
- private:
-  std::unique_ptr<TensorImpl> input_ids_;
-  std::unique_ptr<TensorImpl> hidden_state_;
-  std::unique_ptr<TensorImpl> attention_mask_;
-  std::unique_ptr<TensorImpl> position_ids_cos_;
-  std::unique_ptr<TensorImpl> position_ids_sin_;
-  std::vector<std::unique_ptr<TensorImpl>> k_cache_;
-  std::vector<std::unique_ptr<TensorImpl>> v_cache_;
-  std::unique_ptr<TensorImpl> logits_;
-};
-
-class ThreadPool {
- public:
-  ThreadPool();
-  ~ThreadPool();
-
-  std::future<void> issue(std::function<void(void*)> func, void* arg);
-  size_t num_workers();
-
- private:
-  struct JobInfo {
-    explicit JobInfo(std::packaged_task<void(void*)>&& func, void* arg)
-        : func(std::move(func)), arg(arg) {}
-    explicit JobInfo(JobInfo&& job_info)
-        : func(std::move(job_info.func)), arg(job_info.arg) {}
-    std::packaged_task<void(void*)> func;
-    void* arg;
-  };
-  size_t num_workers_;
-  std::vector<std::thread> threads_;
-  std::queue<JobInfo> jobs_;
-  std::mutex mutex_;
-  std::condition_variable cv_;
-  bool stop_;
-};
-
-class KVCachedMemory : public Memory {
- public:
-  KVCachedMemory(
-      const std::vector<std::string>& pos_embs_path,
-      std::vector<std::shared_ptr<Module>>& modules);
-  void prepare_io(const std::vector<Result<MethodMeta>>& methods_meta) override;
-  void update_io(
-      int64_t cur_token,
-      int64_t pos,
-      std::vector<std::vector<Tensor>>& output_tensors) override;
-  struct IO {
-    int32_t input_ids;
-    uint16_t hidden_state[4096];
-    uint16_t attention_mask[1024];
-    uint16_t position_ids_cos[1024 * 64];
-    uint16_t position_ids_sin[1024 * 64];
-    uint8_t k_cache[32][32][129 * 1023];
-    uint8_t v_cache[32][33 * 1023 * 128];
-    uint8_t k_cache_out[32][32][128];
-    uint16_t logits[32000];
-  };
-  struct LoopRange {
-    int32_t start;
-    int32_t end;
-    int32_t step;
-  };
-
- private:
-  std::unique_ptr<TensorImpl> input_ids_;
-  std::unique_ptr<TensorImpl> hidden_state_;
-  std::unique_ptr<TensorImpl> attention_mask_;
-  std::unique_ptr<TensorImpl> position_ids_cos_;
-  std::unique_ptr<TensorImpl> position_ids_sin_;
-  std::vector<std::unique_ptr<TensorImpl>> k_cache_in_;
-  std::vector<std::unique_ptr<TensorImpl>> v_cache_in_;
-  std::vector<std::unique_ptr<TensorImpl>> k_cache_out_;
-  std::vector<std::unique_ptr<TensorImpl>> v_cache_out_;
-  std::unique_ptr<TensorImpl> logits_;
-  std::vector<LoopRange> lr_update_kv_;
-  std::vector<std::future<void>> futures_;
-  ThreadPool thread_pool_;
-};
-
-} // namespace executor
-} // namespace torch
diff --git a/examples/qualcomm/llama2/qaihub_runner/runner.cpp b/examples/qualcomm/llama2/qaihub_runner/runner.cpp
deleted file mode 100644
index 32a89c9700..0000000000
--- a/examples/qualcomm/llama2/qaihub_runner/runner.cpp
+++ /dev/null
@@ -1,359 +0,0 @@
-/*
- * Copyright (c) Qualcomm Innovation Center, Inc.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-// A simple llama2 runner that includes preprocessing and post processing logic.
-// The module takes in a string as input and emits a string as output.
-
-#include <executorch/examples/qualcomm/llama2/qaihub_runner/runner.h>
-#include <executorch/extension/evalue_util/print_evalue.h>
-#include <executorch/extension/llm/tokenizer/bpe_tokenizer.h>
-#include <executorch/extension/runner_util/managed_tensor.h>
-
-#include <ctime>
-#include <memory>
-#include <sstream>
-
-#include <executorch/examples/models/llama2/runner/util.h>
-#include <executorch/runtime/core/exec_aten/exec_aten.h>
-#include <executorch/runtime/core/exec_aten/util/scalar_type_util.h>
-#include <executorch/runtime/platform/log.h>
-
-#include "arm_neon.h"
-
-namespace torch {
-namespace executor {
-
-namespace {
-static constexpr auto kTopp = 0.9f;
-void printReport(const Runner::Stats& stats);
-std::string statsToJsonString(const Runner::Stats& stats);
-} // namespace
-
-Runner::Runner(
-    const std::vector<std::string>& models_path,
-    const std::vector<std::string>& pos_embs_path,
-    const std::string& tokenizer_path,
-    const int eval_mode,
-    const float temperature,
-    const float logits_scale,
-    const int logits_offset)
-    : tokenizer_path_(tokenizer_path),
-      temperature_(temperature),
-      bos_id_(1),
-      eos_id_(2),
-      n_bos_(1),
-      n_eos_(1),
-      vocab_size_(32000),
-      max_seq_len_(1024),
-      eval_mode_(eval_mode),
-      stats_({}),
-      logits_scale_(logits_scale),
-      logits_offset_(logits_offset) {
-  for (size_t i = 0; i < models_path.size(); ++i) {
-    modules_.push_back(std::make_shared<Module>(
-        models_path[i], Module::LoadMode::MmapUseMlockIgnoreErrors));
-    ET_LOG(Info, "creating module: model_path=%s", models_path[i].c_str());
-  }
-  ET_LOG(Info, "creating runner: tokenizer_path=%s", tokenizer_path_.c_str());
-  switch (eval_mode_) {
-    case EvalMode::kBert:
-      io_mem_ = std::make_unique<BertMemory>(pos_embs_path, modules_);
-      break;
-    case EvalMode::kKVCached:
-      io_mem_ = std::make_unique<KVCachedMemory>(pos_embs_path, modules_);
-      break;
-    default:
-      ET_CHECK_MSG(false, "unsupported evaluation mode");
-  }
-  ET_LOG(Info, "creating io_memory");
-}
-
-bool Runner::is_loaded() const {
-  bool loaded = true;
-  for (const std::shared_ptr<Module>& module : modules_) {
-    loaded &= module->is_loaded();
-  }
-  return loaded && tokenizer_ && sampler_;
-}
-
-Error Runner::load() {
-  if (is_loaded()) {
-    return Error::Ok;
-  }
-  for (std::shared_ptr<Module>& module : modules_) {
-    ET_CHECK_OK_OR_RETURN_ERROR(module->load_method("forward"));
-  }
-
-  // load tokenizer
-  tokenizer_ = std::make_unique<BPETokenizer>();
-  tokenizer_->load(tokenizer_path_);
-
-  // create sampler
-  sampler_ = std::make_unique<Sampler>(
-      vocab_size_,
-      temperature_,
-      kTopp,
-      static_cast<unsigned long long>(std::time(nullptr)));
-
-  // prepare io
-  auto methods_meta = get_methods_meta();
-  io_mem_->prepare_io(methods_meta);
-  return Error::Ok;
-}
-
-int32_t Runner::logitsToToken(const Tensor& logits_tensor) {
-  static std::vector<float> logits_f(vocab_size_);
-  static int32x4_t offset = vmovq_n_s32(logits_offset_);
-  static float32x4_t scale = vmovq_n_f32(logits_scale_);
-  const uint16_t* logits = logits_tensor.data_ptr<uint16_t>();
-  // dequantize
-  for (int i = 0; i < vocab_size_; i += 4) {
-    const uint16_t* in = logits + i;
-    float* out = logits_f.data() + i;
-    int32_t data[4] = {in[0], in[1], in[2], in[3]};
-    int32x4_t quantized = vld1q_s32(data);
-    int32x4_t shifted = vsubq_s32(quantized, offset);
-    float32x4_t shifted_f = vcvtq_f32_s32(shifted);
-    vst1q_f32(out, vmulq_f32(shifted_f, scale));
-  }
-  return sampler_->sample(logits_f.data());
-}
-
-void Runner::run_model_step(std::vector<std::vector<EValue>>& inputs) {
-  for (size_t i = 0, num_modules = modules_.size(); i < num_modules; ++i) {
-    Result<std::vector<EValue>> outputs_res = modules_[i]->forward(inputs[i]);
-    ET_CHECK_MSG(
-        outputs_res.error() == Error::Ok, "shard %zu inference failed", i);
-  }
-}
-
-// TODO: add overloaded method for on-device tokenize
-Error Runner::generate(
-    const std::string& prompt,
-    int32_t seq_len,
-    std::function<void(const std::string&)> token_callback,
-    std::function<void(const Stats&)> stats_callback) {
-  ET_CHECK_MSG(!prompt.empty(), "prompt cannot be null");
-
-  std::vector<std::vector<Tensor>> input_tensors, output_tensors;
-  std::vector<std::vector<EValue>> inputs;
-  if (!is_loaded()) {
-    stats_.model_load_start_ms = util::time_in_ms();
-    ET_CHECK_OK_OR_RETURN_ERROR(load());
-    for (int i = 0; i < 4; ++i) {
-      input_tensors.emplace_back(io_mem_->get_input_tensors(i));
-      output_tensors.emplace_back(io_mem_->get_output_tensors(i));
-      for (size_t j = 0; j < output_tensors[i].size(); ++j) {
-        ET_CHECK_MSG(
-            modules_[i]->set_output_data_ptr(output_tensors[i][j], j) ==
-                Error::Ok,
-            "failed to set output tensor for module %d's %zu'th output",
-            i,
-            j);
-      }
-      inputs.emplace_back(
-          std::vector<EValue>(begin(input_tensors[i]), end(input_tensors[i])));
-    }
-    stats_.model_load_end_ms = util::time_in_ms();
-  }
-
-  stats_.inference_start_ms = util::time_in_ms();
-  shouldStop_ = false;
-  seq_len = (seq_len > 0 && seq_len <= max_seq_len_) ? seq_len : max_seq_len_;
-
-  Result<std::vector<uint64_t>> encode_res =
-      tokenizer_->encode(prompt, n_bos_, 0);
-  ET_CHECK_OK_OR_RETURN_ERROR(
-      encode_res.error(), "failed to encode prompt %s", prompt.c_str());
-
-  std::vector<uint64_t> prompt_tokens = encode_res.get();
-  int num_prompt_tokens = prompt_tokens.size();
-  ET_CHECK_MSG(num_prompt_tokens < max_seq_len_, "max seq length exceeded");
-  ET_CHECK_MSG(
-      num_prompt_tokens < seq_len,
-      "sequence length exceeded - please increase the seq_len value");
-
-  int64_t pos = 0, prev_token, cur_token = prompt_tokens[0];
-  if (eval_mode_ == EvalMode::kBert) {
-    BertMemory::IO* ptr =
-        static_cast<BertMemory::IO*>(io_mem_->get_mutable_ptr());
-    int start_index = max_seq_len_ - num_prompt_tokens;
-    // indices are filled from behind, take 3 tokens as an example:
-    // > tokens : [...tok_pad, tok_bos, tok1, tok2]
-    // > indices: [0.....1020, 1021,    1022, 1023]
-    for (int i = 0; i < num_prompt_tokens; i++) {
-      ptr->input_ids[start_index + i] = static_cast<int32_t>(prompt_tokens[i]);
-    }
-    // causal attention mask is filled as following:
-    // 0, 65535 maps to -100.0, 0.0 after dequantizing
-    // 0      : [0,...................0,     0,     0,     0]
-    // 1-1019 : ...
-    // 1020   : [0,...............65535,     0,     0,     0]
-    // 1021   : [0,...............65535, 65535,     0,     0]
-    // 1022   : [0,...............65535, 65535, 65535,     0]
-    // 1023   : [0,...............65535, 65535, 65535, 65535]
-    for (int i = max_seq_len_ - 1, len = num_prompt_tokens; len >= 0;
-         --i, --len) {
-      for (int j = 0; j <= len; ++j) {
-        ptr->attention_mask[i * max_seq_len_ + start_index - 1 + j] = 65535;
-      }
-    }
-    pos = num_prompt_tokens - 1;
-    cur_token = prompt_tokens[pos];
-  } else if (eval_mode_ == EvalMode::kKVCached) {
-    KVCachedMemory::IO* ptr =
-        static_cast<KVCachedMemory::IO*>(io_mem_->get_mutable_ptr());
-    ptr->input_ids = static_cast<int32_t>(cur_token);
-    ptr->attention_mask[max_seq_len_ - 1] = 65535;
-  }
-
-  while (pos < seq_len - 1) {
-    run_model_step(inputs);
-    Tensor& logits_tensor = output_tensors.back().back();
-
-    if (pos == num_prompt_tokens) {
-      stats_.first_token_ms = util::time_in_ms();
-    } else if (pos == num_prompt_tokens - 1) {
-      stats_.prompt_eval_end_ms = util::time_in_ms();
-    }
-
-    long sample_start_time_ms = util::time_in_ms();
-    prev_token = cur_token;
-    cur_token = logitsToToken(logits_tensor);
-    stats_.aggregate_sampling_time_ms +=
-        util::time_in_ms() - sample_start_time_ms;
-
-    if (pos < num_prompt_tokens - 1) {
-      cur_token = prompt_tokens[pos + 1];
-    }
-    io_mem_->update_io(cur_token, ++pos, output_tensors);
-
-    auto piece_res = tokenizer_->decode(prev_token, cur_token);
-    ET_CHECK(piece_res.ok());
-
-    if (token_callback) {
-      token_callback(piece_res.get().c_str());
-    }
-
-    if (shouldStop_) {
-      break;
-    }
-
-    if (pos >= num_prompt_tokens && cur_token == eos_id_) {
-      ET_LOG(Info, "\nReached to the end of generation");
-      break;
-    }
-  }
-  stats_.inference_end_ms = util::time_in_ms();
-
-  if (pos == seq_len) {
-    ET_LOG(Info, "\nSequence length (%i tokens) reached!", seq_len);
-  }
-
-  stats_.num_prompt_tokens = num_prompt_tokens;
-  stats_.num_generated_tokens = pos - num_prompt_tokens;
-  printReport(stats_);
-  if (stats_callback) {
-    stats_callback(stats_);
-  }
-
-  return Error::Ok;
-}
-
-namespace {
-void printReport(const Runner::Stats& stats) {
-  printf("PyTorchObserver %s\n", statsToJsonString(stats).c_str());
-
-  ET_LOG(
-      Info,
-      "\tPrompt Tokens: %" PRIu64 "    Generated Tokens: %" PRIu64,
-      stats.num_prompt_tokens,
-      stats.num_generated_tokens);
-
-  ET_LOG(
-      Info,
-      "\tModel Load Time:\t\t%f (seconds)",
-      ((double)(stats.model_load_end_ms - stats.model_load_start_ms) /
-       stats.SCALING_FACTOR_UNITS_PER_SECOND));
-  double inference_time_ms =
-      (double)(stats.inference_end_ms - stats.inference_start_ms);
-  ET_LOG(
-      Info,
-      "\tTotal inference time:\t\t%f (seconds)\t\t Rate: \t%f (tokens/second)",
-      inference_time_ms / stats.SCALING_FACTOR_UNITS_PER_SECOND,
-
-      (stats.num_generated_tokens) /
-          (double)(stats.inference_end_ms - stats.inference_start_ms) *
-          stats.SCALING_FACTOR_UNITS_PER_SECOND);
-  double prompt_eval_time =
-      (double)(stats.prompt_eval_end_ms - stats.inference_start_ms);
-  ET_LOG(
-      Info,
-      "\t\tPrompt evaluation:\t%f (seconds)\t\t Rate: \t%f (tokens/second)",
-      prompt_eval_time / stats.SCALING_FACTOR_UNITS_PER_SECOND,
-      (stats.num_prompt_tokens) / prompt_eval_time *
-          stats.SCALING_FACTOR_UNITS_PER_SECOND);
-
-  double eval_time =
-      (double)(stats.inference_end_ms - stats.prompt_eval_end_ms);
-  ET_LOG(
-      Info,
-      "\t\tGenerated %" PRIu64
-      " tokens:\t%f (seconds)\t\t Rate: \t%f (tokens/second)",
-      stats.num_generated_tokens,
-      eval_time / stats.SCALING_FACTOR_UNITS_PER_SECOND,
-      stats.num_generated_tokens / eval_time *
-          stats.SCALING_FACTOR_UNITS_PER_SECOND);
-
-  // Time to first token is measured from the start of inference, excluding
-  // model load time.
-  ET_LOG(
-      Info,
-      "\tTime to first generated token:\t%f (seconds)",
-      ((double)(stats.first_token_ms - stats.inference_start_ms) /
-       stats.SCALING_FACTOR_UNITS_PER_SECOND));
-
-  ET_LOG(
-      Info,
-      "\tSampling time over %" PRIu64 " tokens:\t%f (seconds)",
-      stats.num_prompt_tokens + stats.num_generated_tokens,
-      (double)stats.aggregate_sampling_time_ms /
-          stats.SCALING_FACTOR_UNITS_PER_SECOND);
-}
-
-std::string statsToJsonString(const Runner::Stats& stats) {
-  std::stringstream ss;
-  ss << "{\"prompt_tokens\":" << stats.num_prompt_tokens << ","
-     << "\"generated_tokens\":" << stats.num_generated_tokens << ","
-     << "\"model_load_start_ms\":" << stats.model_load_start_ms << ","
-     << "\"model_load_end_ms\":" << stats.model_load_end_ms << ","
-     << "\"inference_start_ms\":" << stats.inference_start_ms << ","
-     << "\"inference_end_ms\":" << stats.inference_end_ms << ","
-     << "\"prompt_eval_end_ms\":" << stats.prompt_eval_end_ms << ","
-     << "\"first_token_ms\":" << stats.first_token_ms << ","
-     << "\"aggregate_sampling_time_ms\":" << stats.aggregate_sampling_time_ms
-     << "," << "\"SCALING_FACTOR_UNITS_PER_SECOND\":"
-     << stats.SCALING_FACTOR_UNITS_PER_SECOND << "}";
-  return ss.str();
-}
-} // namespace
-
-void Runner::stop() {
-  shouldStop_ = true;
-}
-
-std::vector<Result<MethodMeta>> Runner::get_methods_meta() {
-  std::vector<Result<MethodMeta>> methods_meta;
-  methods_meta.reserve(modules_.size());
-  for (std::shared_ptr<Module>& module : modules_) {
-    methods_meta.emplace_back(module->method_meta("forward"));
-  }
-  return methods_meta;
-}
-} // namespace executor
-} // namespace torch
diff --git a/examples/qualcomm/llama2/qaihub_runner/runner.h b/examples/qualcomm/llama2/qaihub_runner/runner.h
deleted file mode 100644
index 3968388695..0000000000
--- a/examples/qualcomm/llama2/qaihub_runner/runner.h
+++ /dev/null
@@ -1,106 +0,0 @@
-/*
- * Copyright (c) Qualcomm Innovation Center, Inc.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-// A simple llama2 runner that includes preprocessing and post processing logic.
-// The module takes in a string as input and emits a string as output.
-
-#pragma once
-
-#include <cstdint>
-#include <functional>
-#include <memory>
-#include <string>
-#include <unordered_map>
-
-#include <executorch/examples/models/llama2/sampler/sampler.h>
-#include <executorch/examples/qualcomm/llama2/qaihub_runner/io_memory.h>
-#include <executorch/extension/llm/tokenizer/tokenizer.h>
-#include <executorch/extension/module/module.h>
-#include <executorch/extension/runner_util/managed_tensor.h>
-
-namespace torch {
-namespace executor {
-
-class Runner {
- public:
-  explicit Runner(
-      const std::vector<std::string>& models_path,
-      const std::vector<std::string>& pos_embs_path,
-      const std::string& tokenizer_path,
-      const int eval_mode,
-      const float temperature,
-      const float logits_scale,
-      const int logits_offset);
-
-  struct Stats {
-    // Scaling factor for timestamps - in this case, we use ms.
-    const long SCALING_FACTOR_UNITS_PER_SECOND = 1000;
-    // Time stamps for the different stages of the execution
-    // model_load_start_ms: Start of model loading.
-    long model_load_start_ms;
-    // model_load_end_ms: End of model loading.
-    long model_load_end_ms;
-    // inference_start_ms: Immediately after the model is loaded (or we check
-    // for model load), measure the inference time.
-    long inference_start_ms;
-    // prompt_eval_end_ms: Prompt array allocation and tokenization. Ends right
-    // before the inference loop starts
-    long prompt_eval_end_ms;
-    // first_token: Timestamp when the first generated token is emitted
-    long first_token_ms;
-    // inference_end_ms: End of inference/generation.
-    long inference_end_ms;
-    // Keep a running total of the time spent in sampling.
-    long aggregate_sampling_time_ms;
-    // Token count from prompt
-    int64_t num_prompt_tokens;
-    // Token count from generated (total - prompt)
-    int64_t num_generated_tokens;
-  };
-
-  bool is_loaded() const;
-  Error load();
-  Error generate(
-      const std::string& prompt,
-      int32_t seq_len,
-      std::function<void(const std::string&)> token_callback = {},
-      std::function<void(const Stats&)> stats_callback = {});
-  void stop();
-  std::vector<Result<MethodMeta>> get_methods_meta();
-
- private:
-  enum EvalMode {
-    kBert = 0,
-    kKVCached,
-    kUnsupported,
-  };
-
-  int32_t logitsToToken(const exec_aten::Tensor& logits_tensor);
-  void run_model_step(std::vector<std::vector<EValue>>& inputs);
-  // metadata
-  const int32_t bos_id_;
-  const int32_t eos_id_;
-  const int32_t n_bos_;
-  const int32_t n_eos_;
-  const int32_t vocab_size_;
-  const int32_t max_seq_len_;
-  int32_t eval_mode_;
-  std::vector<std::shared_ptr<Module>> modules_;
-  std::string tokenizer_path_;
-  float temperature_;
-  std::unique_ptr<Tokenizer> tokenizer_;
-  std::unique_ptr<Sampler> sampler_;
-  bool shouldStop_{false};
-  Stats stats_;
-  std::unique_ptr<Memory> io_mem_;
-  const float logits_scale_;
-  const int32_t logits_offset_;
-};
-
-} // namespace executor
-} // namespace torch
diff --git a/examples/qualcomm/llama2/runner/runner.cpp b/examples/qualcomm/llama2/runner/runner.cpp
deleted file mode 100644
index 009bb6b209..0000000000
--- a/examples/qualcomm/llama2/runner/runner.cpp
+++ /dev/null
@@ -1,667 +0,0 @@
-/*
- * Copyright (c) Qualcomm Innovation Center, Inc.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-// A simple llama2 runner that includes preprocessing and post processing logic.
-// The module takes in a string as input and emits a string as output.
-
-#include <executorch/examples/qualcomm/llama2/runner/runner.h>
-#include <executorch/extension/evalue_util/print_evalue.h>
-#include <executorch/extension/llm/tokenizer/bpe_tokenizer.h>
-#include <executorch/extension/runner_util/managed_tensor.h>
-
-#include <ctime>
-#include <memory>
-#include <sstream>
-
-#include <executorch/examples/models/llama2/runner/util.h>
-#include <executorch/runtime/core/exec_aten/exec_aten.h>
-#include <executorch/runtime/core/exec_aten/util/scalar_type_util.h>
-#include <executorch/runtime/platform/log.h>
-
-namespace torch {
-namespace executor {
-
-namespace {
-static constexpr auto kTopp = 0.9f;
-void printReport(const Runner::Stats& stats);
-std::string statsToJsonString(const Runner::Stats& stats);
-} // namespace
-
-Runner::Runner(
-    const std::string& model_path,
-    const std::string& tokenizer_path,
-    const float temperature)
-    : module_(std::make_unique<Module>(
-          model_path,
-          Module::LoadMode::MmapUseMlockIgnoreErrors)),
-      tokenizer_path_(tokenizer_path),
-      model_path_(model_path),
-      temperature_(temperature) {
-  ET_LOG(
-      Info,
-      "Creating LLaMa runner: model_path=%s, tokenizer_path=%s",
-      model_path.c_str(),
-      tokenizer_path.c_str());
-}
-
-bool Runner::is_loaded() const {
-  return module_->is_loaded() && tokenizer_ && sampler_;
-}
-
-Error Runner::load() {
-  if (is_loaded()) {
-    return Error::Ok;
-  }
-  stats_.model_load_start_ms = util::time_in_ms();
-  ET_CHECK_OK_OR_RETURN_ERROR(module_->load_method("forward"));
-
-  // Read out metadata from the model
-  ET_LOG(Info, "Reading metadata from model");
-  const auto method_names = module_->method_names();
-  ET_CHECK_MSG(method_names.ok(), "Failed to read method names from model");
-  model_methods_ = method_names.get();
-  vocab_size_ = getMetadataHelper<int64_t>("get_vocab_size", 32000);
-  bos_id_ = getMetadataHelper<int64_t>("get_bos_id", 1);
-  eos_id_ = getMetadataHelper<int64_t>("get_eos_id", 2);
-  n_bos_ = getMetadataHelper<int64_t>("get_n_bos", 1);
-  n_eos_ = getMetadataHelper<int64_t>("get_n_eos", 1);
-  max_seq_len_ = getMetadataHelper<int64_t>("get_max_seq_len", 128);
-  head_dim_ = getMetadataHelper<int64_t>("get_head_dim", 32);
-  dim_ = getMetadataHelper<int64_t>("get_dim", 4096);
-
-  // Load tokenizer
-  tokenizer_ = std::make_unique<BPETokenizer>();
-  tokenizer_->load(tokenizer_path_);
-  if (tokenizer_->bos_tok() != bos_id_) {
-    ET_LOG(
-        Error,
-        "Tokenizer's BOS id %lu does not match model's BOS id %ld, will override tokenizer's BOS.",
-        tokenizer_->bos_tok(),
-        bos_id_);
-  }
-  if (tokenizer_->eos_tok() != eos_id_) {
-    ET_LOG(
-        Error,
-        "Tokenizer's EOS id %lu does not match model's EOS id %ld, will override tokenizer's EOS.",
-        tokenizer_->eos_tok(),
-        eos_id_);
-  }
-  // Create sampler
-  sampler_ = std::make_unique<Sampler>(
-      vocab_size_,
-      temperature_,
-      kTopp,
-      static_cast<unsigned long long>(std::time(nullptr)));
-  stats_.model_load_end_ms = util::time_in_ms();
-
-  return Error::Ok;
-}
-
-template <typename T>
-T Runner::getMetadataHelper(std::string method_name, T default_val) {
-  T res = default_val;
-  if (model_methods_.count(method_name)) {
-    Result<std::vector<EValue>> outputs = module_->execute(method_name);
-    if (outputs.ok()) {
-      std::vector<EValue> outs = outputs.get();
-      if (outs.size() > 0) {
-        res = outs[0].to<T>();
-      }
-    }
-  } else {
-    ET_LOG(
-        Info,
-        "The model does not contain %s method, using default value %lld",
-        method_name.c_str(),
-        (long long)default_val);
-  }
-  ET_LOG(Info, "%s: %lld", method_name.c_str(), (long long)res);
-  return res;
-}
-
-template <typename T>
-int32_t Runner::logitsToToken(const exec_aten::Tensor& logits_tensor) {
-  T* logits = logits_tensor.mutable_data_ptr<T>();
-
-  // Since the logits are for all tokens, get the last token probabilities
-  T* logits_last = logits;
-  return sampler_->sample(logits_last);
-}
-
-// Given an input token. Set up the inputs for the model and execute a single
-// step. Returning the logits tensor.
-Result<torch::executor::Tensor> Runner::run_model_step(
-    int64_t input_token,
-    Tensor& token,
-    Tensor& start_pos,
-    Tensor& atten_mask,
-    std::vector<Tensor>& kv_tensors,
-    std::vector<Tensor>& kv_outputs) {
-  token.mutable_data_ptr<int32_t>()[0] = input_token;
-
-  // inputs:[tokens, start_pos, atten_mask, k_cache, v_cache]
-  std::vector<EValue> inputs = {token, start_pos, atten_mask};
-  inputs.insert(inputs.end(), kv_tensors.begin(), kv_tensors.end());
-  Result<std::vector<EValue>> outputs_res = module_->forward(inputs);
-  ET_CHECK_OK_OR_RETURN_ERROR(outputs_res.error());
-
-  // TODO: need to handle batch size != 1
-  size_t v_offset = kv_outputs[0].nbytes();
-  size_t el_size = kv_outputs[0].element_size();
-  size_t k_input_step = (max_seq_len_ - 1) * el_size;
-  int k_tensors_end = kv_tensors.size() / 2;
-  // update k caches
-  for (int j = 0; j < k_tensors_end; ++j) {
-    uint8_t* input_addr =
-        static_cast<uint8_t*>(kv_tensors[j].mutable_data_ptr());
-    uint8_t* output_addr =
-        static_cast<uint8_t*>(kv_outputs[j].mutable_data_ptr());
-    // fill the output k values back
-    for (int src = 0, dst = k_input_step; src < kv_outputs[j].nbytes();
-         src += el_size, dst += k_input_step) {
-      input_addr[dst] = output_addr[src];
-    }
-    char* new_inp_addr = io_mem_mgr_.update_k_caches_read(j, el_size);
-    // inputs
-    ET_CHECK_MSG(
-        internal::set_tensor_data(
-            kv_tensors[j], new_inp_addr, kv_tensors[j].nbytes()) == Error::Ok,
-        "Failed to set input tensor when updating k_cache");
-  }
-  // update v caches
-  for (int j = k_tensors_end, v_idx = 0; j < kv_tensors.size(); ++j, ++v_idx) {
-    // inputs
-    char* new_inp_addr = io_mem_mgr_.update_v_caches_read(v_idx, v_offset);
-
-    ET_CHECK_MSG(
-        internal::set_tensor_data(
-            kv_tensors[j], new_inp_addr, kv_tensors[j].nbytes()) == Error::Ok,
-        "Failed to set input tensor when updating v_cache");
-    // outputs
-    char* new_out_addr = io_mem_mgr_.update_v_caches_write(v_idx, v_offset);
-    ET_CHECK_MSG(
-        internal::set_tensor_data(
-            kv_outputs[j], new_out_addr, kv_outputs[j].nbytes()) == Error::Ok,
-        "Failed to set output tensor when updating v_cache");
-    ET_CHECK_MSG(
-        module_->set_output_data_ptr(kv_outputs[j], j + 1) == Error::Ok,
-        "Failed to set llama output data pointer");
-  }
-
-  // Bump start_pos by 1
-  start_pos.mutable_data_ptr<int32_t>()[0]++;
-
-  // update atten_mask
-  atten_mask.mutable_data_ptr<float>()
-      [atten_mask.numel() - 1 - start_pos.const_data_ptr<int32_t>()[0]] = 0;
-  return outputs_res.get()[0].toTensor();
-}
-// TODO: add overloaded method for on-device tokenize
-Error Runner::generate(
-    const std::string& prompt,
-    int32_t seq_len,
-    std::function<void(const std::string&)> token_callback,
-    std::function<void(const Stats&)> stats_callback) {
-  ET_CHECK_MSG(!prompt.empty(), "Prompt cannot be null");
-  ET_CHECK_MSG(is_loaded(), "Please invoke load method first");
-
-  // First token time only measures the time it takes to encode the prompt and
-  // return a response token.
-  stats_.inference_start_ms = util::time_in_ms();
-  shouldStop_ = false;
-
-  // Set the sequence length to the max seq length if not provided
-  seq_len = (seq_len > 0 && seq_len <= max_seq_len_) ? seq_len : max_seq_len_;
-
-  Result<std::vector<uint64_t>> encode_res =
-      tokenizer_->encode(prompt, n_bos_, 0);
-
-  ET_CHECK_OK_OR_RETURN_ERROR(
-      encode_res.error(), "Failed to encode prompt %s", prompt.c_str());
-
-  // encode the (string) prompt into tokens sequence
-  std::vector<uint64_t> prompt_tokens = encode_res.get();
-  int num_prompt_tokens = prompt_tokens.size();
-
-  ET_CHECK_MSG(
-      num_prompt_tokens < max_seq_len_,
-      "Max seq length exceeded - please increase max seq len value in static_llama.py");
-
-  ET_CHECK_MSG(
-      num_prompt_tokens < seq_len,
-      "Sequence length exceeded - please increase the seq_len value passed to generate()");
-
-  int32_t pos = 0, prev_token, cur_token = prompt_tokens[0];
-  std::vector<exec_aten::SizesType> token_shape = {1, 1};
-
-  io_mem_mgr_.get_input_token_ptr()[0] = 0;
-  std::vector<exec_aten::SizesType> start_pos_shape = {1, 1};
-
-  float* atten_mask_ptr =
-      reinterpret_cast<float*>(io_mem_mgr_.get_atten_mask_ptr());
-  std::fill(atten_mask_ptr, atten_mask_ptr + max_seq_len_, -255);
-  atten_mask_ptr[max_seq_len_ - 1] = 0;
-
-  std::vector<exec_aten::SizesType> atten_mask_shape = {1, max_seq_len_};
-
-  std::vector<exec_aten::SizesType> logits_data_shape = {1, vocab_size_};
-
-  std::vector<exec_aten::SizesType> hidden_states_data_shape = {1, 1, dim_};
-
-  // initialize tensor wrappers
-  ManagedTensor managed_token(
-      io_mem_mgr_.get_input_token_ptr(), token_shape, ScalarType::Int);
-  ManagedTensor managed_pos_id(
-      io_mem_mgr_.get_pos_idx_ptr(), start_pos_shape, ScalarType::Int);
-  ManagedTensor managed_atten_mask(
-      io_mem_mgr_.get_atten_mask_ptr(), atten_mask_shape, ScalarType::Float);
-
-  Tensor token = managed_token.get_aliasing_tensor();
-  Tensor atten_mask = managed_atten_mask.get_aliasing_tensor();
-  Tensor start_pos = managed_pos_id.get_aliasing_tensor();
-
-  std::vector<ManagedTensor> managed_kv_inputs, managed_kv_outputs;
-  std::vector<Tensor> kv_tensors, kv_outputs;
-
-  Result<MethodMeta> method_meta = get_method_meta();
-  size_t num_inputs = method_meta->num_inputs();
-  int k_caches_num = (num_inputs - 3) / 2;
-
-  // TODO: need to handle batch size != 1
-  // k caches init
-  for (int input_index = 3, i = 0; input_index < k_caches_num + 3;
-       ++input_index, ++i) {
-    // inputs
-    Result<TensorInfo> tensor_meta =
-        method_meta->input_tensor_meta(input_index);
-
-    auto tensor_shape = tensor_meta->sizes();
-    std::vector<exec_aten::SizesType> sizes(
-        tensor_shape.data(), tensor_shape.data() + tensor_shape.size());
-    managed_kv_inputs.emplace_back(ManagedTensor(
-        io_mem_mgr_.get_k_caches_read_ptr(i),
-        sizes,
-        tensor_meta->scalar_type()));
-    kv_tensors.emplace_back(managed_kv_inputs.back().get_aliasing_tensor());
-
-    // outpus
-    Result<TensorInfo> out_tensor_meta = method_meta->output_tensor_meta(i + 1);
-    tensor_shape = out_tensor_meta->sizes();
-    sizes = std::vector<exec_aten::SizesType>{
-        tensor_shape.data(), tensor_shape.data() + tensor_shape.size()};
-    managed_kv_outputs.emplace_back(ManagedTensor(
-        io_mem_mgr_.get_k_caches_write_ptr(i),
-        sizes,
-        kv_tensors.back().scalar_type()));
-    kv_outputs.emplace_back(managed_kv_outputs.back().get_aliasing_tensor());
-    ET_CHECK_MSG(
-        module_->set_output_data_ptr(kv_outputs.back(), i + 1) == Error::Ok,
-        "Failed to set output tensor for kv cache");
-  }
-
-  // v caches init
-  for (int i = 0, input_index = k_caches_num + 3; input_index < num_inputs;
-       ++input_index, ++i) {
-    int output_index = i + k_caches_num + 1;
-    // inputs
-    Result<TensorInfo> tensor_meta =
-        method_meta->input_tensor_meta(input_index);
-    auto tensor_shape = tensor_meta->sizes();
-    std::vector<exec_aten::SizesType> sizes(
-        tensor_shape.data(), tensor_shape.data() + tensor_shape.size());
-
-    managed_kv_inputs.emplace_back(ManagedTensor(
-        io_mem_mgr_.get_v_caches_read_ptr(i),
-        sizes,
-        tensor_meta->scalar_type()));
-    kv_tensors.push_back(managed_kv_inputs.back().get_aliasing_tensor());
-
-    // outputs
-    Result<TensorInfo> out_tensor_meta =
-        method_meta->output_tensor_meta(output_index);
-    tensor_shape = out_tensor_meta->sizes();
-    sizes = std::vector<exec_aten::SizesType>{
-        tensor_shape.data(), tensor_shape.data() + tensor_shape.size()};
-
-    managed_kv_outputs.push_back(ManagedTensor(
-        io_mem_mgr_.get_v_caches_write_ptr(i),
-        sizes,
-        kv_tensors.back().scalar_type()));
-    kv_outputs.push_back(managed_kv_outputs.back().get_aliasing_tensor());
-    ET_CHECK_MSG(
-        module_->set_output_data_ptr(kv_outputs.back(), output_index) ==
-            Error::Ok,
-        "Failed to set output tensor for llama block");
-  }
-
-  ManagedTensor affine_managed_logits(
-      reinterpret_cast<float*>(io_mem_mgr_.get_logit_ptr()),
-      logits_data_shape,
-      ScalarType::Float);
-  Tensor affine_logits = affine_managed_logits.get_aliasing_tensor();
-  ET_CHECK_MSG(
-      module_->set_output_data_ptr(affine_logits, 0) == Error::Ok,
-      "Failed to set output tensor for affine module - logits");
-
-  // Start consuming user's prompts and generating new tokens
-  std::string final_output;
-  while (pos < seq_len - 1) {
-    // Run the model
-    Result<torch::executor::Tensor> logits_res = run_model_step(
-        cur_token, token, start_pos, atten_mask, kv_tensors, kv_outputs);
-    if (pos == num_prompt_tokens) {
-      stats_.first_token_ms = util::time_in_ms();
-    } else if (pos == num_prompt_tokens - 1) {
-      stats_.prompt_eval_end_ms = util::time_in_ms();
-    }
-
-    ET_CHECK_OK_OR_RETURN_ERROR(logits_res.error());
-    exec_aten::Tensor& logits_tensor = logits_res.get();
-    prev_token = cur_token;
-    long sample_start_time_ms = util::time_in_ms();
-
-    cur_token = logitsToToken<float>(logits_tensor);
-    stats_.aggregate_sampling_time_ms +=
-        util::time_in_ms() - sample_start_time_ms;
-
-    // advance the state machine
-    if (pos < num_prompt_tokens - 1) {
-      // prefill, force the next token to be the next prompt token
-      cur_token = prompt_tokens[pos + 1];
-    }
-    pos++;
-
-    // print the token as string, decode it with the Tokenizer object
-    auto piece_res = tokenizer_->decode(prev_token, cur_token);
-    ET_CHECK(piece_res.ok());
-
-    if (token_callback) {
-      token_callback(piece_res.get());
-    }
-
-    if (shouldStop_) {
-      break;
-    }
-
-    // data-dependent terminating condition: we have n_eos_ number of EOS
-    if (pos >= num_prompt_tokens && cur_token == eos_id_) {
-      ET_LOG(Info, "Reached to the end of generation");
-      break;
-    }
-  }
-  stats_.inference_end_ms = util::time_in_ms();
-
-  if (pos == seq_len) {
-    ET_LOG(Info, "Sequence length (%i tokens) reached!", seq_len);
-  }
-
-  stats_.num_prompt_tokens = num_prompt_tokens;
-  stats_.num_generated_tokens = pos - num_prompt_tokens;
-  printReport(stats_);
-  if (stats_callback) {
-    stats_callback(stats_);
-  }
-
-  return Error::Ok;
-}
-
-namespace {
-void printReport(const Runner::Stats& stats) {
-  printf("PyTorchObserver %s\n", statsToJsonString(stats).c_str());
-
-  ET_LOG(
-      Info,
-      "\tPrompt Tokens: %" PRIu64 "    Generated Tokens: %" PRIu64,
-      stats.num_prompt_tokens,
-      stats.num_generated_tokens);
-
-  ET_LOG(
-      Info,
-      "\tModel Load Time:\t\t%f (seconds)",
-      ((double)(stats.model_load_end_ms - stats.model_load_start_ms) /
-       stats.SCALING_FACTOR_UNITS_PER_SECOND));
-  double inference_time_ms =
-      (double)(stats.inference_end_ms - stats.inference_start_ms);
-  ET_LOG(
-      Info,
-      "\tTotal inference time:\t\t%f (seconds)\t\t Rate: \t%f (tokens/second)",
-      inference_time_ms / stats.SCALING_FACTOR_UNITS_PER_SECOND,
-
-      (stats.num_generated_tokens) /
-          (double)(stats.inference_end_ms - stats.inference_start_ms) *
-          stats.SCALING_FACTOR_UNITS_PER_SECOND);
-  double prompt_eval_time =
-      (double)(stats.prompt_eval_end_ms - stats.inference_start_ms);
-  ET_LOG(
-      Info,
-      "\t\tPrompt evaluation:\t%f (seconds)\t\t Rate: \t%f (tokens/second)",
-      prompt_eval_time / stats.SCALING_FACTOR_UNITS_PER_SECOND,
-      (stats.num_prompt_tokens) / prompt_eval_time *
-          stats.SCALING_FACTOR_UNITS_PER_SECOND);
-
-  double eval_time =
-      (double)(stats.inference_end_ms - stats.prompt_eval_end_ms);
-  ET_LOG(
-      Info,
-      "\t\tGenerated %" PRIu64
-      " tokens:\t%f (seconds)\t\t Rate: \t%f (tokens/second)",
-      stats.num_generated_tokens,
-      eval_time / stats.SCALING_FACTOR_UNITS_PER_SECOND,
-      stats.num_generated_tokens / eval_time *
-          stats.SCALING_FACTOR_UNITS_PER_SECOND);
-
-  // Time to first token is measured from the start of inference, excluding
-  // model load time.
-  ET_LOG(
-      Info,
-      "\tTime to first generated token:\t%f (seconds)",
-      ((double)(stats.first_token_ms - stats.inference_start_ms) /
-       stats.SCALING_FACTOR_UNITS_PER_SECOND));
-
-  ET_LOG(
-      Info,
-      "\tSampling time over %" PRIu64 " tokens:\t%f (seconds)",
-      stats.num_prompt_tokens + stats.num_generated_tokens,
-      (double)stats.aggregate_sampling_time_ms /
-          stats.SCALING_FACTOR_UNITS_PER_SECOND);
-}
-
-std::string statsToJsonString(const Runner::Stats& stats) {
-  std::stringstream ss;
-  ss << "{\"prompt_tokens\":" << stats.num_prompt_tokens << ","
-     << "\"generated_tokens\":" << stats.num_generated_tokens << ","
-     << "\"model_load_start_ms\":" << stats.model_load_start_ms << ","
-     << "\"model_load_end_ms\":" << stats.model_load_end_ms << ","
-     << "\"inference_start_ms\":" << stats.inference_start_ms << ","
-     << "\"inference_end_ms\":" << stats.inference_end_ms << ","
-     << "\"prompt_eval_end_ms\":" << stats.prompt_eval_end_ms << ","
-     << "\"first_token_ms\":" << stats.first_token_ms << ","
-     << "\"aggregate_sampling_time_ms\":" << stats.aggregate_sampling_time_ms
-     << "," << "\"SCALING_FACTOR_UNITS_PER_SECOND\":"
-     << stats.SCALING_FACTOR_UNITS_PER_SECOND << "}";
-  return ss.str();
-}
-} // namespace
-
-IoMemMgr::IoMemMgr(MethodMeta method_meta) {
-  method_meta_ = std::make_unique<MethodMeta>(method_meta);
-  init_io_info();
-  compute_total_nbytes();
-}
-
-void IoMemMgr::init_io_info() {
-  set_tensor_meta();
-  for (auto info : io_info_.tensor_info) {
-    info->size = info->tensor_meta->nbytes();
-    info->rank = info->tensor_meta->sizes().size();
-    info->shape.resize(info->rank);
-    for (int i = 0; i < info->rank; i++) {
-      info->shape[i] =
-          static_cast<uint32_t>(info->tensor_meta->sizes().data()[i]);
-    }
-    info->dtype = info->tensor_meta->scalar_type();
-    info->element_size = scalar_type_to_size[info->tensor_meta->scalar_type()];
-  }
-};
-
-void IoMemMgr::set_tensor_meta() {
-  io_info_.input_token.tensor_meta =
-      std::make_unique<TensorInfo>(method_meta_->input_tensor_meta(0).get());
-  io_info_.pos_idx.tensor_meta =
-      std::make_unique<TensorInfo>(method_meta_->input_tensor_meta(1).get());
-  io_info_.atten_mask.tensor_meta =
-      std::make_unique<TensorInfo>(method_meta_->input_tensor_meta(2).get());
-
-  io_info_.k_caches_read.tensor_meta =
-      std::make_unique<TensorInfo>(method_meta_->input_tensor_meta(3).get());
-  io_info_.k_caches_write.tensor_meta =
-      std::make_unique<TensorInfo>(method_meta_->output_tensor_meta(1).get());
-
-  io_info_.v_caches_read.tensor_meta = std::make_unique<TensorInfo>(
-      method_meta_->input_tensor_meta(method_meta_->num_inputs() - 1).get());
-  io_info_.v_caches_write.tensor_meta = std::make_unique<TensorInfo>(
-      method_meta_->output_tensor_meta(method_meta_->num_outputs() - 1).get());
-
-  io_info_.logit.tensor_meta =
-      std::make_unique<TensorInfo>(method_meta_->output_tensor_meta(0).get());
-}
-
-void IoMemMgr::compute_total_nbytes() {
-  total_nbytes_ = io_info_.input_token.size + io_info_.pos_idx.size +
-      io_info_.atten_mask.size + io_info_.logit.size;
-  size_t num_heads = (method_meta_->num_inputs() - 3) / 2;
-
-  // To update v cache via shifting pointer, v caches need a buffer with size
-  // of (max_seq_len_ - 1) * head_dim_. It is equivalent to one more cache
-  size_t num_v_cache = num_heads + 1;
-  // To update v cache via shifting pointer, k buffer need the size of
-  // max_seq_len - 1
-  size_t k_buffer = io_info_.k_caches_read.size / io_info_.k_caches_write.size;
-
-  // k_caches_read need a buffer with size of head_dim_
-  total_nbytes_ += num_heads * io_info_.k_caches_read.size + k_buffer;
-  total_nbytes_ += num_heads * io_info_.k_caches_write.size;
-  total_nbytes_ += num_v_cache * io_info_.v_caches_read.size;
-  // Add a head dim size for the convinience of shifting ptr from the last
-  // non-used v cache write
-  total_nbytes_ += io_info_.v_caches_write.size;
-}
-
-bool IoMemMgr::init_tensors() {
-  size_t cur_pos = input_token_pos_;
-  pos_idx_pos_ = cur_pos += io_info_.input_token.size;
-  atten_mask_pos_ = cur_pos += io_info_.pos_idx.size;
-  logit_pos_ = cur_pos += io_info_.atten_mask.size;
-  set_input_token_ptr();
-  set_pos_idx_ptr();
-  set_atten_mask_ptr();
-  set_logit_ptr();
-
-  // set start point of kv caches
-  cur_pos += io_info_.logit.size;
-
-  size_t num_heads = (method_meta_->num_inputs() - 3) / 2;
-  k_caches_read_pos_.resize(num_heads);
-  k_caches_write_pos_.resize(num_heads);
-  v_caches_read_pos_.resize(num_heads);
-  v_caches_write_pos_.resize(num_heads);
-
-  for (int i = 0; i < num_heads; i++) {
-    set_k_caches_read(i, cur_pos);
-    cur_pos += io_info_.k_caches_read.size;
-  }
-  // add a size of k caches buffer
-  cur_pos += io_info_.k_caches_read.size / io_info_.k_caches_write.size;
-  for (int i = 0; i < num_heads; i++) {
-    set_k_caches_write(i, cur_pos);
-    cur_pos += io_info_.k_caches_write.size;
-  }
-
-  for (int i = 0; i < num_heads; i++) {
-    set_v_caches_read(i, cur_pos);
-    set_v_caches_write(i, cur_pos + io_info_.v_caches_read.size);
-    cur_pos += io_info_.v_caches_read.size;
-  }
-  // add a caches as the b caches buffer
-  cur_pos += io_info_.v_caches_read.size;
-  return cur_pos <= total_nbytes_;
-}
-
-void IoMemMgr::set_all_shifted_ptrs(size_t seq_len) {
-  auto iter_setter = [&](std::vector<size_t>& cache,
-                         size_t shift_size,
-                         InfoAttrs& tensor_info) {
-    for (int i = 0; i < cache.size(); ++i) {
-      size_t pos = cache[i] + shift_size;
-      CustomMemTensorInfo info = {
-          ptr_,
-          ptr_ + pos,
-          pos,
-          tensor_info.size,
-          tensor_info.shape.data(),
-          tensor_info.rank,
-          tensor_info.dtype};
-      QnnExecuTorchAddCustomMemTensorInfo(info);
-    }
-  };
-  for (int i = 0; i < seq_len; ++i) {
-    iter_setter(
-        k_caches_read_pos_,
-        i * io_info_.k_caches_read.element_size,
-        io_info_.k_caches_read);
-    iter_setter(
-        v_caches_read_pos_,
-        i * io_info_.v_caches_write.size,
-        io_info_.v_caches_read);
-    iter_setter(
-        v_caches_write_pos_,
-        i * io_info_.v_caches_write.size,
-        io_info_.v_caches_write);
-  }
-}
-
-void Runner::stop() {
-  shouldStop_ = true;
-}
-
-Result<MethodMeta> Runner::get_method_meta() {
-  return module_->method_meta("forward");
-}
-
-Error Runner::mem_alloc(size_t alignment, size_t seq_len) {
-  Result<MethodMeta> method_meta_result = get_method_meta();
-  io_mem_mgr_ = IoMemMgr(method_meta_result.get());
-  ET_CHECK_MSG(
-      io_mem_mgr_.allocate(alignment),
-      "IoMemMgr failed to allocate custom memory");
-
-  ET_CHECK_MSG(
-      io_mem_mgr_.init_tensors(),
-      "IoMemMgr required more bytes than allocated bytes");
-
-  io_mem_mgr_.set_all_shifted_ptrs(seq_len);
-  // To register rpc_mem_handle from SharedBuffer
-  // Reset and re-init again to trigger registered function
-  module_.reset();
-  module_ = std::make_unique<Module>(
-      model_path_, Module::LoadMode::MmapUseMlockIgnoreErrors),
-  ET_CHECK_MSG(load() == Error::Ok, "Runner failed to load method");
-
-  return Error::Ok;
-}
-
-// explicit instantiation of template methods
-template int64_t Runner::getMetadataHelper<int64_t>(
-    std::string method_name,
-    int64_t default_val);
-template bool Runner::getMetadataHelper<bool>(
-    std::string method_name,
-    bool default_val);
-
-} // namespace executor
-} // namespace torch
diff --git a/examples/qualcomm/llama2/runner/runner.h b/examples/qualcomm/llama2/runner/runner.h
deleted file mode 100644
index 8bfe27ebab..0000000000
--- a/examples/qualcomm/llama2/runner/runner.h
+++ /dev/null
@@ -1,280 +0,0 @@
-/*
- * Copyright (c) Qualcomm Innovation Center, Inc.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-// A simple llama2 runner that includes preprocessing and post processing logic.
-// The module takes in a string as input and emits a string as output.
-
-#pragma once
-
-#include <cstdint>
-#include <functional>
-#include <memory>
-#include <string>
-#include <unordered_map>
-
-#include <executorch/backends/qualcomm/runtime/QnnExecuTorch.h>
-#include <executorch/examples/models/llama2/sampler/sampler.h>
-#include <executorch/extension/llm/tokenizer/tokenizer.h>
-#include <executorch/extension/module/module.h>
-#include <executorch/extension/runner_util/managed_tensor.h>
-
-class RpcMemAllocator {
- public:
-  RpcMemAllocator(QnnMemDescriptor shared_buffer_type)
-      : shared_buffer_type_(shared_buffer_type){};
-  bool allocate(size_t bytes, size_t alignment) {
-    ptr_ = QnnExecuTorchAllocCustomMem(bytes, alignment);
-    if (ptr_ == nullptr) {
-      ET_LOG(
-          Info,
-          "Allocate Rpc mem falied, fallback to nromal ptr: bytes=%zu, alignment=%zu",
-          bytes,
-          alignment);
-      input_data_.resize(bytes);
-      ptr_ = input_data_.data();
-    }
-    return ptr_ != nullptr;
-  }
-
-  ~RpcMemAllocator() {
-    if (shared_buffer_type_ == QnnMemDescriptor::kIon ||
-        shared_buffer_type_ == QnnMemDescriptor::kCustom) {
-      if (ptr_ != nullptr) {
-        QnnExecuTorchFreeCustomMem(ptr_);
-      }
-    }
-  }
-
-  void* GetPtr() {
-    return ptr_;
-  }
-
- private:
-  QnnMemDescriptor shared_buffer_type_;
-  void* ptr_{nullptr};
-  std::vector<char> input_data_;
-  std::vector<size_t> tensor_base_addrs_;
-};
-
-#define DEFINE_IOMEMMGR_ACCESSOR(name)                  \
-  size_t get_##name##_pos() const {                     \
-    return name##_pos_;                                 \
-  }                                                     \
-  char* get_##name##_ptr() const {                      \
-    return reinterpret_cast<char*>(ptr_) + name##_pos_; \
-  }                                                     \
-  char* set_##name##_ptr() {                            \
-    CustomMemTensorInfo info = {                        \
-        ptr_,                                           \
-        ptr_ + name##_pos_,                             \
-        name##_pos_,                                    \
-        io_info_.name.size,                             \
-        io_info_.name.shape.data(),                     \
-        io_info_.name.rank,                             \
-        io_info_.name.dtype};                           \
-    QnnExecuTorchAddCustomMemTensorInfo(info);          \
-    return reinterpret_cast<char*>(ptr_) + name##_pos_; \
-  }
-
-#define DEFINE_IOMEMMGR_VEC_ACCESSOR(name)                   \
-  const std::vector<size_t>& get_##name##_pos_vec() const {  \
-    return name##_pos_;                                      \
-  }                                                          \
-  char* get_##name##_ptr(int idx) {                          \
-    return ptr_ + name##_pos_[idx];                          \
-  }                                                          \
-  char* set_##name(int idx, size_t pos) {                    \
-    name##_pos_[idx] = pos;                                  \
-    CustomMemTensorInfo info = {                             \
-        ptr_,                                                \
-        ptr_ + name##_pos_[idx],                             \
-        name##_pos_[idx],                                    \
-        io_info_.name.size,                                  \
-        io_info_.name.shape.data(),                          \
-        io_info_.name.rank,                                  \
-        io_info_.name.dtype};                                \
-    QnnExecuTorchAddCustomMemTensorInfo(info);               \
-    return reinterpret_cast<char*>(ptr_) + pos;              \
-  }                                                          \
-  char* update_##name(int idx, size_t shift_size) {          \
-    name##_pos_[idx] += shift_size;                          \
-    return reinterpret_cast<char*>(ptr_) + name##_pos_[idx]; \
-  }
-
-namespace torch {
-namespace executor {
-class IoMemMgr {
- public:
-  // Allocate a big memory which is capable to contain all IO of all modules
-  IoMemMgr(){};
-  IoMemMgr(MethodMeta method_meta);
-
-  struct InfoAttrs {
-    std::unique_ptr<TensorInfo> tensor_meta;
-    size_t size = 0;
-    std::vector<uint32_t> shape;
-    uint32_t rank;
-    size_t element_size;
-    torch::executor::ScalarType dtype;
-  };
-
-  struct IoInfo {
-    InfoAttrs input_token;
-    InfoAttrs pos_idx;
-    InfoAttrs atten_mask;
-    InfoAttrs k_caches_read;
-    InfoAttrs k_caches_write;
-    InfoAttrs v_caches_read;
-    InfoAttrs v_caches_write;
-    InfoAttrs logit;
-    std::vector<InfoAttrs*> tensor_info{
-        &input_token,
-        &pos_idx,
-        &atten_mask,
-        &k_caches_read,
-        &k_caches_write,
-        &v_caches_read,
-        &v_caches_write,
-        &logit,
-    };
-  };
-
-  bool allocate(size_t alignment) {
-    bool ret = rpc_mem_allocator.allocate(total_nbytes_, alignment);
-    ptr_ = reinterpret_cast<char*>(rpc_mem_allocator.GetPtr());
-    return ret;
-  }
-  bool init_tensors();
-
-  char* get_custom_mem_ptr() {
-    return ptr_;
-  }
-
-  // Pointers of k cache read, v cache read and write are shifted every step.
-  // Set them first to register mem handle during qnn delegation init.
-  void set_all_shifted_ptrs(size_t max_seq_len);
-
-  DEFINE_IOMEMMGR_ACCESSOR(atten_mask);
-  DEFINE_IOMEMMGR_ACCESSOR(input_token);
-  DEFINE_IOMEMMGR_ACCESSOR(pos_idx);
-  DEFINE_IOMEMMGR_ACCESSOR(logit);
-
-  DEFINE_IOMEMMGR_VEC_ACCESSOR(k_caches_read);
-  DEFINE_IOMEMMGR_VEC_ACCESSOR(k_caches_write);
-  DEFINE_IOMEMMGR_VEC_ACCESSOR(v_caches_read);
-  DEFINE_IOMEMMGR_VEC_ACCESSOR(v_caches_write);
-
- private:
-  size_t total_nbytes_{0};
-  char* ptr_{nullptr};
-  void compute_total_nbytes();
-  void set_tensor_meta();
-  void init_io_info();
-
-  size_t atten_mask_pos_;
-  size_t input_token_pos_{0};
-  size_t logit_pos_;
-  size_t pos_idx_pos_;
-  std::vector<size_t> k_caches_read_pos_;
-  std::vector<size_t> k_caches_write_pos_;
-  std::vector<size_t> v_caches_read_pos_;
-  std::vector<size_t> v_caches_write_pos_;
-
-  IoInfo io_info_;
-  std::unique_ptr<MethodMeta> method_meta_;
-  RpcMemAllocator rpc_mem_allocator{QnnMemDescriptor::kCustom};
-  std::unordered_map<ScalarType, size_t> scalar_type_to_size = {
-      {ScalarType::Int, sizeof(int32_t)},
-      {ScalarType::Float, sizeof(float)},
-      {ScalarType::Char, sizeof(int8_t)},
-      {ScalarType::Short, sizeof(int16_t)},
-      {ScalarType::Byte, sizeof(uint8_t)},
-      {ScalarType::Bits16, sizeof(uint16_t)},
-  };
-};
-
-class Runner {
- public:
-  explicit Runner(
-      const std::string& model_path,
-      const std::string& tokenizer_path,
-      const float temperature = 0.8f);
-
-  struct Stats {
-    // Scaling factor for timestamps - in this case, we use ms.
-    const long SCALING_FACTOR_UNITS_PER_SECOND = 1000;
-    // Time stamps for the different stages of the execution
-    // model_load_start_ms: Start of model loading.
-    long model_load_start_ms;
-    // model_load_end_ms: End of model loading.
-    long model_load_end_ms;
-    // inference_start_ms: Immediately after the model is loaded (or we check
-    // for model load), measure the inference time.
-    long inference_start_ms;
-    // prompt_eval_end_ms: Prompt array allocation and tokenization. Ends right
-    // before the inference loop starts
-    long prompt_eval_end_ms;
-    // first_token: Timestamp when the first generated token is emitted
-    long first_token_ms;
-    // inference_end_ms: End of inference/generation.
-    long inference_end_ms;
-    // Keep a running total of the time spent in sampling.
-    long aggregate_sampling_time_ms;
-    // Token count from prompt
-    int64_t num_prompt_tokens;
-    // Token count from generated (total - prompt)
-    int64_t num_generated_tokens;
-  };
-
-  bool is_loaded() const;
-  Error load();
-  Error mem_alloc(size_t alignment, size_t seq_len);
-  Error generate(
-      const std::string& prompt,
-      int32_t seq_len,
-      std::function<void(const std::string&)> token_callback = {},
-      std::function<void(const Stats&)> stats_callback = {});
-  void stop();
-  Result<MethodMeta> get_method_meta();
-
- private:
-  // metadata
-  template <typename T>
-  T getMetadataHelper(std::string method_name, T default_val);
-  template <typename T>
-  int32_t logitsToToken(const exec_aten::Tensor& logits_tensor);
-  Result<torch::executor::Tensor> run_model_step(
-      int64_t input_token,
-      Tensor& token,
-      Tensor& start_pos,
-      Tensor& atten_mask,
-      std::vector<Tensor>& kv_tensors,
-      std::vector<Tensor>& kv_outputs);
-  // metadata
-  int32_t vocab_size_;
-  int64_t bos_id_;
-  int64_t eos_id_;
-  int32_t n_bos_;
-  int32_t n_eos_;
-  int32_t max_seq_len_;
-  int32_t head_dim_;
-  int32_t dim_;
-  std::unordered_set<std::string> model_methods_;
-  std::unique_ptr<Module> module_;
-  std::string tokenizer_path_;
-  std::string model_path_;
-  float temperature_;
-  std::unique_ptr<Tokenizer> tokenizer_;
-  std::unique_ptr<Sampler> sampler_;
-  bool shouldStop_{false};
-  Stats stats_;
-  IoMemMgr io_mem_mgr_;
-};
-
-} // namespace executor
-} // namespace torch
diff --git a/examples/qualcomm/oss_scripts/dino_v2.py b/examples/qualcomm/oss_scripts/dino_v2.py
index 03249b63d8..a8241e34a7 100644
--- a/examples/qualcomm/oss_scripts/dino_v2.py
+++ b/examples/qualcomm/oss_scripts/dino_v2.py
@@ -13,7 +13,7 @@
 import torch
 from executorch.backends.qualcomm.quantizer.quantizer import QuantDtype
 
-from executorch.examples.qualcomm.scripts.utils import (
+from executorch.examples.qualcomm.utils import (
     build_executorch_binary,
     make_output_dir,
     parse_skip_delegation_node,
@@ -105,12 +105,6 @@ def main(args):
     if args.compile_only:
         sys.exit(0)
 
-    # setup required paths accordingly
-    # qnn_sdk       : QNN SDK path setup in environment variable
-    # build_path : path where QNN delegate artifacts were built
-    # pte_path      : path where executorch binary was stored
-    # device_id     : serial number of android device
-    # workspace     : folder for storing artifacts on android device
     adb = SimpleADB(
         qnn_sdk=os.getenv("QNN_SDK_ROOT"),
         build_path=f"{args.build_folder}",
diff --git a/examples/qualcomm/oss_scripts/esrgan.py b/examples/qualcomm/oss_scripts/esrgan.py
index e4e609e152..df02374e4b 100644
--- a/examples/qualcomm/oss_scripts/esrgan.py
+++ b/examples/qualcomm/oss_scripts/esrgan.py
@@ -15,7 +15,7 @@
 
 from executorch.backends.qualcomm.quantizer.quantizer import QuantDtype
 from executorch.examples.qualcomm.scripts.edsr import get_dataset
-from executorch.examples.qualcomm.scripts.utils import (
+from executorch.examples.qualcomm.utils import (
     build_executorch_binary,
     make_output_dir,
     parse_skip_delegation_node,
@@ -74,12 +74,6 @@ def main(args):
     if args.compile_only:
         sys.exit(0)
 
-    # setup required paths accordingly
-    # qnn_sdk       : QNN SDK path setup in environment variable
-    # build_path : path where QNN delegate artifacts were built
-    # pte_path      : path where executorch binary was stored
-    # device_id     : serial number of android device
-    # workspace     : folder for storing artifacts on android device
     adb = SimpleADB(
         qnn_sdk=os.getenv("QNN_SDK_ROOT"),
         build_path=f"{args.build_folder}",
diff --git a/examples/qualcomm/oss_scripts/fbnet.py b/examples/qualcomm/oss_scripts/fbnet.py
index fe07ab83d2..495b08b413 100755
--- a/examples/qualcomm/oss_scripts/fbnet.py
+++ b/examples/qualcomm/oss_scripts/fbnet.py
@@ -14,7 +14,7 @@
 import timm
 from executorch.backends.qualcomm.quantizer.quantizer import QuantDtype
 from executorch.examples.qualcomm.scripts.inception_v4 import get_dataset
-from executorch.examples.qualcomm.scripts.utils import (
+from executorch.examples.qualcomm.utils import (
     build_executorch_binary,
     make_output_dir,
     setup_common_args_and_variables,
diff --git a/examples/qualcomm/oss_scripts/gMLP_image_classification.py b/examples/qualcomm/oss_scripts/gMLP_image_classification.py
index e9b9b91507..cbcd6d88cb 100644
--- a/examples/qualcomm/oss_scripts/gMLP_image_classification.py
+++ b/examples/qualcomm/oss_scripts/gMLP_image_classification.py
@@ -15,7 +15,7 @@
 import torch
 
 from executorch.backends.qualcomm.quantizer.quantizer import QuantDtype
-from executorch.examples.qualcomm.scripts.utils import (
+from executorch.examples.qualcomm.utils import (
     build_executorch_binary,
     make_output_dir,
     parse_skip_delegation_node,
@@ -96,12 +96,6 @@ def main(args):
     if args.compile_only:
         sys.exit(0)
 
-    # setup required paths accordingly
-    # qnn_sdk       : QNN SDK path setup in environment variable
-    # build_path : path where artifacts were built
-    # pte_path      : path where QNN delegate executorch binary was stored
-    # device_id     : serial number of android device
-    # workspace     : folder for storing artifacts on android device
     adb = SimpleADB(
         qnn_sdk=os.getenv("QNN_SDK_ROOT"),
         build_path=f"{args.build_folder}",
diff --git a/examples/qualcomm/oss_scripts/llama2/CMakeLists.txt b/examples/qualcomm/oss_scripts/llama2/CMakeLists.txt
new file mode 100644
index 0000000000..61a2ecda56
--- /dev/null
+++ b/examples/qualcomm/oss_scripts/llama2/CMakeLists.txt
@@ -0,0 +1,38 @@
+# Copyright (c) Qualcomm Innovation Center, Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+set(_qnn_llama_runner__srcs ${_llama_runner__srcs})
+
+# preprocess qnn llama runner src files
+list(TRANSFORM _qnn_llama_runner__srcs PREPEND "${EXECUTORCH_SOURCE_DIR}/")
+list(FILTER _qnn_llama_runner__srcs EXCLUDE REGEX ".*(/runner/).*")
+list(
+  PREPEND
+  _qnn_llama_runner__srcs
+  ${CMAKE_CURRENT_LIST_DIR}/qnn_llama_runner.cpp
+  ${CMAKE_CURRENT_LIST_DIR}/runner/runner.cpp
+  ${CMAKE_CURRENT_LIST_DIR}/runner/runner.h
+)
+
+# build qnn llama runner
+add_executable(qnn_llama_runner ${_qnn_llama_runner__srcs})
+target_include_directories(
+  qnn_llama_runner PUBLIC ${_common_include_directories}
+)
+target_link_libraries(
+  qnn_llama_runner
+  qnn_executorch_backend
+  full_portable_ops_lib
+  extension_data_loader
+  extension_module
+  extension_tensor
+  gflags
+  re2::re2
+)
+target_compile_options(qnn_llama_runner PUBLIC ${_common_compile_options})
+set_target_properties(
+  qnn_llama_runner PROPERTIES LINK_FLAGS "-Wl,-rpath='$ORIGIN'"
+)
diff --git a/examples/qualcomm/oss_scripts/llama2/README.md b/examples/qualcomm/oss_scripts/llama2/README.md
new file mode 100644
index 0000000000..d83902a6de
--- /dev/null
+++ b/examples/qualcomm/oss_scripts/llama2/README.md
@@ -0,0 +1,39 @@
+# Summary
+
+## Overview
+This file provides you the instructions to run LLAMA2 with different parameters via Qualcomm HTP backend. Following settings support for Stories 110M
+
+Please check corresponding section for more information.
+
+## Stories 110M
+This example demonstrates how to run a smaller LLAMA2, stories110M on mobile via Qualcomm HTP backend. Model architecture is fine-tuned specifically for HTP to accelerate the performance. Weight is quantized via PTQ quantization to fit the model on a phone.
+
+### Instructions
+#### Step 1: Setup
+1. Follow the [tutorial](https://pytorch.org/executorch/main/getting-started-setup) to set up ExecuTorch.
+2. Follow the [tutorial](https://pytorch.org/executorch/stable/build-run-qualcomm-ai-engine-direct-backend.html) to build Qualcomm AI Engine Direct Backend.
+
+#### Step2: Prepare Model
+Download and preapre stories110M model
+
+```bash
+# tokenizer.model & stories110M.pt:
+wget "https://huggingface.co/karpathy/tinyllamas/resolve/main/stories110M.pt"
+wget "https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.model"
+
+# tokenizer.bin:
+python -m extension.llm.tokenizer.tokenizer -t tokenizer.model -o tokenizer.bin
+
+# params.json:
+echo '{"dim": 768, "multiple_of": 32, "n_heads": 12, "n_layers": 12, "norm_eps": 1e-05, "vocab_size": 32000}' > params.json
+```
+
+#### Step3: Run default examples
+Default example generates the story based on the given prompt, "Once".
+```bash
+# 16a4w quant:
+python examples/qualcomm/oss_scripts/llama2/llama.py -b build-android -s ${SERIAL_NUM} -m ${SOC_MODEL} --ptq 16a4w --checkpoint stories110M --params params.json --tokenizer_model tokenizer.model --tokenizer_bin tokenizer.bin --prompt "Once"
+```
+
+#### (Note) Customized PTQ data set
+User prompts are used for PTQ calibration data. Take the examples above, the word "Once" is the only word for PTQ. If you want to observe more data during the calibration time. Please add more prompts to the args `--prompt`.
\ No newline at end of file
diff --git a/examples/qualcomm/oss_scripts/llama2/llama.py b/examples/qualcomm/oss_scripts/llama2/llama.py
new file mode 100644
index 0000000000..d74cfa0ef0
--- /dev/null
+++ b/examples/qualcomm/oss_scripts/llama2/llama.py
@@ -0,0 +1,584 @@
+# Copyright (c) Qualcomm Innovation Center, Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import codecs
+import getpass
+import json
+import os
+import time
+from multiprocessing.connection import Client
+
+import torch
+
+from executorch.backends.qualcomm.partition.qnn_partitioner import QnnPartitioner
+from executorch.backends.qualcomm.passes.build_quant_io import BuildQuantIo
+
+from executorch.backends.qualcomm.quantizer.quantizer import QuantDtype
+from executorch.backends.qualcomm.serialization.qnn_compile_spec_schema import (
+    QcomChipset,
+)
+from executorch.backends.qualcomm.utils.constants import QCOM_QUANTIZED_IO
+from executorch.backends.qualcomm.utils.utils import (
+    capture_program,
+    convert_linear_to_conv2d,
+    generate_htp_compiler_spec,
+    generate_qnn_executorch_compiler_spec,
+)
+from executorch.examples.qualcomm.oss_scripts.llama2.model.static_llama import (
+    LlamaModel,
+    ModelArgs,
+)
+from executorch.examples.qualcomm.utils import (
+    make_output_dir,
+    make_quantizer,
+    setup_common_args_and_variables,
+    SimpleADB,
+)
+from executorch.exir import EdgeCompileConfig, EdgeProgramManager
+from executorch.exir.capture._config import ExecutorchBackendConfig
+from executorch.exir.passes.memory_planning_pass import MemoryPlanningPass
+from executorch.extension.llm.export.builder import DType
+
+from sentencepiece import SentencePieceProcessor
+from torch.ao.quantization.observer import MinMaxObserver
+from torch.ao.quantization.quantize_pt2e import convert_pt2e, prepare_pt2e
+
+
+soc_to_chipset_map = {
+    "SM8650": QcomChipset.SM8650,
+    "SM8550": QcomChipset.SM8550,
+    "SM8475": QcomChipset.SM8475,
+    "SM8450": QcomChipset.SM8450,
+}
+
+
+pte_filename = "llama2_qnn"
+
+
+def annotate_matmul_16a8w(gm: torch.fx.GraphModule) -> None:
+    """
+    This function is specific for matmul op 16a8w.
+    """
+
+    from executorch.backends.qualcomm.quantizer.quantizer import (
+        get_16a8w_qnn_ptq_config,
+        get_default_8bit_qnn_ptq_config,
+        QuantizationConfig,
+    )
+    from executorch.backends.qualcomm.quantizer.utils import QUANT_ANNOTATION_KEY
+    from torch.ao.quantization.quantizer import (
+        QuantizationAnnotation,
+        SharedQuantizationSpec,
+    )
+    from torch.fx import Node
+
+    def annotate_matmul(node: Node, quantization_config: QuantizationConfig):
+        input_qspec_map = {}
+        input_act = node.args[0]
+        input_spec = quantization_config.input_activation
+        input_qspec_map[input_act] = input_spec
+
+        input_act1 = node.args[1]
+        input_spec1 = quantization_config.weight
+        input_qspec_map[input_act1] = input_spec1
+
+        node.meta[QUANT_ANNOTATION_KEY] = QuantizationAnnotation(
+            input_qspec_map=input_qspec_map,
+            output_qspec=quantization_config.output_activation,
+            _annotated=True,
+        )
+
+    def annotate_cat(node: Node, quantization_config: QuantizationConfig):
+        input_nodes = node.args[0]
+
+        first_input_node = input_nodes[0]
+        input_qspec_map = {}
+        input_qspec_map[first_input_node] = quantization_config.input_activation
+        share_qparams_with_input_act0_qspec = SharedQuantizationSpec(
+            (first_input_node, node)
+        )
+
+        for input_node in input_nodes[1:]:
+            if input_node not in input_qspec_map:
+                input_qspec_map[input_node] = share_qparams_with_input_act0_qspec
+
+        node.meta[QUANT_ANNOTATION_KEY] = QuantizationAnnotation(
+            input_qspec_map=input_qspec_map,
+            output_qspec=share_qparams_with_input_act0_qspec,
+            _annotated=True,
+        )
+
+    def annotate_single_in_single_out(
+        node: Node, quantization_config: QuantizationConfig
+    ) -> None:
+
+        input_qspec_map = {}
+        input_act = node.args[0]
+        input_qspec_map[input_act] = quantization_config.input_activation
+
+        node.meta[QUANT_ANNOTATION_KEY] = QuantizationAnnotation(
+            input_qspec_map=input_qspec_map,
+            output_qspec=quantization_config.output_activation,
+            _annotated=True,
+        )
+
+    def annotate_matmul_input1(node: Node):
+        quantization_config_8a8w = get_default_8bit_qnn_ptq_config(act_symmetric=True)
+        while isinstance(node, Node) and node.op == "call_function":
+            if node.target in [
+                torch.ops.aten.permute.default,
+                torch.ops.aten.transpose.int,
+            ]:
+                annotate_single_in_single_out(node, quantization_config_8a8w)
+                node = node.args[0]
+            elif node.target == torch.ops.aten.cat.default:
+                annotate_cat(node, quantization_config_8a8w)
+                node = node.args[0][0]
+            else:
+                node = node.args[0]
+
+    quantization_config_16a8w = get_16a8w_qnn_ptq_config()
+
+    for node in gm.graph.nodes:
+        if node.op == "call_function" and node.target == torch.ops.aten.matmul.default:
+            annotate_matmul(node, quantization_config_16a8w)
+            annotate_matmul_input1(node.args[1])
+
+
+def annotate_linear_16a8w_in_affine_layer(gm: torch.fx.GraphModule) -> None:
+    from executorch.backends.qualcomm.quantizer.quantizer import (
+        get_ptq_per_channel_weight_config,
+        QuantizationConfig,
+    )
+    from executorch.backends.qualcomm.quantizer.utils import QUANT_ANNOTATION_KEY
+    from torch.ao.quantization.quantizer import QuantizationAnnotation
+    from torch.fx import Node
+
+    def annotate_conv2d(node: Node, quantization_config: QuantizationConfig) -> None:
+        input_qspec_map = {}
+        input_act = node.args[0]
+        input_spec = quantization_config.input_activation
+        input_qspec_map[input_act] = input_spec
+
+        weight = node.args[1]
+        input_qspec_map[weight] = quantization_config.weight
+
+        node.meta[QUANT_ANNOTATION_KEY] = QuantizationAnnotation(
+            input_qspec_map=input_qspec_map,
+            output_qspec=quantization_config.output_activation,
+            _annotated=True,
+        )
+
+    quantization_config_16a8w_per_channel = get_ptq_per_channel_weight_config(
+        torch.uint16, weight_dtype=torch.int8
+    )
+    for node in gm.graph.nodes:
+        if node.op == "call_function" and node.target == torch.ops.aten.conv2d.default:
+            if "nn_module_stack" in node.meta:
+                module_values_list = list(node.meta["nn_module_stack"].values())
+                full_qualified_name = module_values_list[0][0]
+                if full_qualified_name == "L['self'].llama.output":
+                    annotate_conv2d(
+                        node, quantization_config=quantization_config_16a8w_per_channel
+                    )
+
+
+def calibrate(
+    example_inputs,
+    user_prompts,
+    module: torch.fx.GraphModule,
+    tokenizer_model_path="tokenizer.model",
+):
+    sp_model = SentencePieceProcessor(model_file=tokenizer_model_path)
+    _, _, atten_mask, k_caches, v_caches = example_inputs
+
+    # TODO: change criteria & support batch inputs if necessary
+    pos = torch.tensor(0, dtype=torch.int32)
+    token_list = [sp_model.bos_id()]
+    for prompt in user_prompts.split():
+        token_list += sp_model.encode(prompt)
+
+    def sample_top_p(probs: torch.Tensor, top_p: float) -> torch.Tensor:
+        probs_sort, probs_indices = torch.sort(probs, dim=-1, descending=True)
+        probs_sum = torch.cumsum(probs_sort, dim=-1)
+        mask = probs_sum - probs_sort > top_p
+        probs_sort[mask] = 0
+        probs_sort /= probs_sort.sum(dim=-1, keepdim=True)
+        next_token = torch.multinomial(probs_sort, num_samples=1)
+        return probs_indices.gather(dim=-1, index=next_token)
+
+    with torch.no_grad():
+        while token_list[-1] != sp_model.eos_id() and pos < 128:
+            logits, new_k_caches, new_v_caches = module(
+                torch.full((1, 1), token_list[pos]),
+                torch.full((1, 1), pos),
+                atten_mask,
+                *k_caches,
+                *v_caches,
+            )
+            k_caches = [
+                torch.cat([k_cache[:, :, 1:], new_k_caches[i]], dim=-1)
+                for i, k_cache in enumerate(k_caches)
+            ]
+            v_caches = [
+                torch.cat([v_cache[:, 1:, :], new_v_caches[i]], dim=1)
+                for i, v_cache in enumerate(v_caches)
+            ]
+
+            pos += 1
+            atten_mask[0][-pos - 1] = 0
+            if pos >= len(token_list):
+                probs = torch.softmax(logits[:, -1] / 0.8, dim=-1)
+                token_list.append(sample_top_p(probs, 0.9).item())
+
+    print(f"calibration data:\n{sp_model.decode(token_list)}")
+
+
+class SingleLlama:
+    def __init__(self, llama_model) -> None:
+        super().__init__()
+        self.llama_model = llama_model
+        self.quant_dtype = None
+        self.llama_meta = self.llama_model.get_metadata()
+        self.has_quant_io = False
+        tokens, pos_ids, atten_mask, k_caches, v_caches = self.get_example_inputs()
+        self.inputs = (tokens, pos_ids, atten_mask, *k_caches, *v_caches)
+
+    def _tag_kv_ios(self, gm: torch.fx.GraphModule, kv_type):
+        if not self.has_quant_io:
+            return
+
+        # shape of k caches and v caches
+        input_cache_shape = {
+            (self.llama_meta["get_head_dim"], self.llama_meta["get_max_seq_len"]),
+            (self.llama_meta["get_max_seq_len"], self.llama_meta["get_head_dim"]),
+        }
+        for n in gm.graph.nodes:
+            if (
+                n.op == "placeholder"
+                and len(users := list(n.users)) == 1
+                and users[0].meta["val"].size()[-2:] in input_cache_shape
+            ):
+                n.meta[QCOM_QUANTIZED_IO] = kv_type
+            elif n.op == "output":
+                for a in n.args[0]:
+                    if (
+                        a.meta["val"].flatten().size()[0]
+                        == self.llama_meta["get_head_dim"]
+                    ):
+                        a.meta[QCOM_QUANTIZED_IO] = kv_type
+
+    def quantize(self, quant_dtype, custom_annotations=()):
+        self.quant_dtype = quant_dtype
+        quantizer = make_quantizer(
+            quant_dtype=quant_dtype,
+            per_channel_conv=True,
+            per_channel_linear=True,
+            act_observer=MinMaxObserver,
+        )
+        quantizer.add_custom_quant_annotations(custom_annotations)
+
+        self.has_quant_io = True
+        fx_graph_module = None
+
+        with torch.no_grad():
+            fx_graph_module = torch.export.export(
+                self.llama_model, self.inputs
+            ).module()
+            fx_graph_module = prepare_pt2e(fx_graph_module, quantizer)
+        print("Quantizing the model...")
+        calibrate(
+            self.get_example_inputs(),
+            args.prompt,
+            fx_graph_module,
+            tokenizer_model_path=args.tokenizer_model,
+        )
+
+        self.llama_model = convert_pt2e(fx_graph_module)
+
+    def lowering_modules(
+        self, work_space, kv_type=torch.uint8, soc_model=QcomChipset.SM8650
+    ):
+        executorch_config = ExecutorchBackendConfig(
+            passes=[
+                BuildQuantIo(),
+            ],
+            # For shared buffer, user must pass the memory address
+            # which is allocated by RPC memory to executor runner.
+            # Therefore, won't want to pre-allocate
+            # by memory manager in runtime.
+            memory_planning_pass=MemoryPlanningPass(
+                alloc_graph_input=False,
+                alloc_graph_output=False,
+            ),
+            extract_delegate_segments=True,
+        )
+        with torch.no_grad():
+            # backend option
+            backend_options = generate_htp_compiler_spec(use_fp16=False)
+            compiler_specs = generate_qnn_executorch_compiler_spec(
+                soc_model=soc_model,
+                backend_options=backend_options,
+                shared_buffer=True,
+            )
+            partitioner = QnnPartitioner(compiler_specs)
+            edge_prog = capture_program(self.llama_model, self.inputs)
+            self._tag_kv_ios(edge_prog.exported_program.graph_module, kv_type=kv_type)
+            edge_prog_mgr = EdgeProgramManager(
+                edge_programs={"forward": edge_prog.exported_program},
+                constant_methods=self.llama_meta,
+                compile_config=EdgeCompileConfig(_check_ir_validity=False),
+            )
+            edge_prog_mgr = edge_prog_mgr.to_backend(partitioner)
+            exec_prog_mgr = edge_prog_mgr.to_executorch(config=executorch_config)
+            with open(f"{work_space}/{pte_filename}.pte", "wb") as file:
+                exec_prog_mgr.write_to_file(file)
+
+    def get_example_inputs(self):
+        return self.llama_model.get_example_inputs()
+
+    def get_export_inputs(self):
+        return self.llama_model.get_export_inputs()
+
+
+def compile(args):
+    os.makedirs(args.artifact, exist_ok=True)
+    start_ts = time.time()
+    with open(args.params) as f:
+        config = ModelArgs(**json.load(f))
+        # TODO: support batch inputs if necessary
+        config.max_batch_size = 1
+        config.max_seq_len = 1024
+    state_dict = torch.load(
+        args.checkpoint, weights_only=True, map_location="cpu", mmap=True
+    )
+    end_load_ts = time.time()
+    print("torch.load checkpoint", end_load_ts - start_ts)
+
+    llama_instance = None
+    with torch.device("meta"):
+        llama_instance = LlamaModel(config, output_new_cache_only=True)
+    if "model" in state_dict:
+        state_dict = state_dict["model"]
+    llama_instance.load_state_dict(
+        state_dict,
+        strict=False,
+        assign=True,
+    )
+    end_load_state_dict_ts = time.time()
+    print("instance.load_state_dict", end_load_state_dict_ts - end_load_ts)
+
+    for layer in llama_instance.layers:
+        if getattr(layer.attention, "prepare_sha", None):
+            layer.attention.prepare_sha()
+
+    kv_type = torch.uint8
+    assert args.ptq in [
+        "8a8w",
+        "16a4w",
+    ], f"No support for quant type {args.ptq}. Support 8a8w and 16a4w."
+    quant_dtype = getattr(QuantDtype, f"use_{args.ptq}")
+    assert args.tokenizer_model is not None, "Need tokenizer model for calibration"
+
+    if args.dtype_override is not None:
+        dtype_override = DType[args.dtype_override]
+        llama_instance = llama_instance.to(dtype_override.to_torch_dtype())
+
+    llama_instance = convert_linear_to_conv2d(llama_instance)
+    single_llama = SingleLlama(llama_instance.eval())
+
+    start_quantize_ts = time.time()
+    single_llama.quantize(
+        quant_dtype,
+        custom_annotations=(
+            annotate_matmul_16a8w,
+            annotate_linear_16a8w_in_affine_layer,
+        ),
+    )
+    end_quantize_ts = time.time()
+    print("single_llama.quantize(quant_dtype)", end_quantize_ts - start_quantize_ts)
+    single_llama.lowering_modules(
+        args.artifact, kv_type=kv_type, soc_model=soc_to_chipset_map[args.model]
+    )
+    end_lowering_ts = time.time()
+    print("Complete Compile", end_lowering_ts - end_quantize_ts)
+
+
+def inference(args, pre_gen_pte=""):
+    workspace = f"/data/local/tmp/{getpass.getuser()}/executorch/single_llama"
+
+    runner_args = " ".join(
+        [
+            f"--model_path {pte_filename}.pte",
+            "--output_folder_path outputs",
+            f"--tokenizer_path {os.path.basename(args.tokenizer_bin)}",
+            f'--prompt "{args.prompt}"',
+            f"--seq_len {args.seq_len}",
+            f"--temperature {args.temperature}",
+        ]
+    )
+    runner_cmd = " ".join(
+        [
+            f"cd {workspace} &&",
+            f"./qnn_llama_runner {runner_args}",
+        ]
+    )
+
+    pte_path = (
+        f"{pre_gen_pte}/{pte_filename}.pte"
+        if pre_gen_pte
+        else f"{args.artifact}/{pte_filename}.pte"
+    )
+    adb = SimpleADB(
+        qnn_sdk=os.getenv("QNN_SDK_ROOT"),
+        build_path=f"{args.build_folder}",
+        pte_path=pte_path,
+        workspace=workspace,
+        device_id=args.device,
+        host_id=args.host,
+        soc_model=args.model,
+        shared_buffer=args.shared_buffer,
+        runner="examples/qualcomm/oss_scripts/llama2/qnn_llama_runner",
+    )
+    # No pregen inputs, input_list is not required
+    adb.push(inputs=[], input_list="", files=[args.tokenizer_bin])
+    adb.execute(custom_runner_cmd=runner_cmd)
+
+    # collect output data
+    output_data_folder = f"{args.artifact}/outputs"
+    make_output_dir(output_data_folder)
+    outputs = []
+
+    def post_process():
+        for f in sorted(
+            os.listdir(output_data_folder), key=lambda f: int(f.split("_")[1])
+        ):
+            with codecs.open(
+                os.path.join(output_data_folder, f),
+                "r",
+                encoding="utf-8",
+                errors="replace",
+            ) as fdata:
+                outputs.append(fdata.read())
+
+    adb.pull(output_path=args.artifact, callback=post_process)
+
+    if args.ip and args.port != -1:
+        with Client((args.ip, args.port)) as conn:
+            conn.send(
+                json.dumps(
+                    {
+                        "result": outputs,
+                    }
+                )
+            )
+    else:
+        for idx, output in enumerate(outputs):
+            print(f"Results[{idx}]:\n{output}")
+
+
+# flake8: noqa: C901
+if __name__ == "__main__":
+    parser = setup_common_args_and_variables()
+    parser.add_argument(
+        "-a",
+        "--artifact",
+        help="path for storing generated artifacts and output by this example. Default ./llama2_qnn",
+        default="./llama2_qnn",
+        type=str,
+    )
+
+    parser.add_argument(
+        "-P",
+        "--ptq",
+        help="If specified, will do PTQ quantization. default is 16bits activation and 4bits weight. Support 8a8w and 16a4w.",
+        default="16a4w",
+    )
+
+    parser.add_argument(
+        "--checkpoint",
+        help="Pass llama2 checkpoint.",
+        required=True,
+        type=str,
+    )
+
+    parser.add_argument(
+        "--params",
+        help="Pass llama2 params json file.",
+        required=True,
+        type=str,
+    )
+
+    parser.add_argument(
+        "--tokenizer_bin",
+        help="Pass llama2 tokenizer binary.",
+        required=True,
+        type=str,
+    )
+
+    parser.add_argument(
+        "--tokenizer_model",
+        help="Pass llama2 tokenizer model.",
+        type=str,
+        default=None,
+    )
+
+    parser.add_argument(
+        "--prompt",
+        help="User prompts for llama2.",
+        required=True,
+        type=str,
+    )
+
+    parser.add_argument(
+        "--seq_len",
+        help="Ouput sequence length for llama2.",
+        default=128,
+        type=int,
+    )
+
+    parser.add_argument(
+        "--temperature",
+        help="Sampling temperature for llama2.",
+        default=0.8,
+        type=float,
+    )
+
+    parser.add_argument(
+        "-d",
+        "--dtype-override",
+        default="fp32",
+        type=str,
+        choices=["fp32", "fp16"],
+        help="Override the dtype of the model (default is the checkpoint dtype). Options: fp32",
+    )
+
+    parser.add_argument(
+        "--pre_gen_pte",
+        help="Run the Pre-generated llama2 in the given directory",
+        type=str,
+    )
+
+    args = parser.parse_args()
+    if args.compile_only and args.pre_gen_pte:
+        exit("Cannot set both compile_only and pre_gen_pte as true")
+
+    if args.pre_gen_pte:
+        inference(args, args.pre_gen_pte)
+        exit(f"Finish the running pre_gen_pte from {args.pre_gen_pte}")
+
+    compile(args)
+    if args.compile_only:
+        exit(f"Finish compile_only and save to {args.artifact}")
+
+    try:
+        inference(args)
+    except Exception as e:
+        if args.ip and args.port != -1:
+            with Client((args.ip, args.port)) as conn:
+                conn.send(json.dumps({"Error": str(e)}))
+        else:
+            raise Exception(e)
diff --git a/examples/qualcomm/llama2/model/static_llama.py b/examples/qualcomm/oss_scripts/llama2/model/static_llama.py
similarity index 100%
rename from examples/qualcomm/llama2/model/static_llama.py
rename to examples/qualcomm/oss_scripts/llama2/model/static_llama.py
diff --git a/examples/qualcomm/executor_runner/qnn_llama_runner.cpp b/examples/qualcomm/oss_scripts/llama2/qnn_llama_runner.cpp
similarity index 86%
rename from examples/qualcomm/executor_runner/qnn_llama_runner.cpp
rename to examples/qualcomm/oss_scripts/llama2/qnn_llama_runner.cpp
index 0d654e6836..1e46f919dc 100644
--- a/examples/qualcomm/executor_runner/qnn_llama_runner.cpp
+++ b/examples/qualcomm/oss_scripts/llama2/qnn_llama_runner.cpp
@@ -9,15 +9,13 @@
 /**
  * @file
  *
- * This tool can run ExecuTorch model files with Qualcomm AI Engine Direct
- * and the portable kernels.
+ * This tool can run ExecuTorch model files with Qualcomm AI Engine Direct.
  *
- * User could specify arguments like desired input data, iterations, etc.
+ * User could specify arguments like desired prompt, temperature, etc.
  */
 
 #include <executorch/backends/qualcomm/runtime/QnnExecuTorch.h>
-#include <executorch/examples/qualcomm/llama2/runner/runner.h>
-#include <executorch/extension/runner_util/managed_tensor.h>
+#include <executorch/examples/qualcomm/oss_scripts/llama2/runner/runner.h>
 #include <executorch/runtime/platform/log.h>
 
 #include <gflags/gflags.h>
@@ -25,8 +23,6 @@
 #include <fstream>
 #include <vector>
 
-using torch::executor::MemoryAllocator;
-
 DEFINE_string(
     model_path,
     "qnn_llama2.pte",
@@ -51,9 +47,12 @@ DEFINE_int32(
     128,
     "Total number of tokens to generate (prompt + output). Defaults to max_seq_len. If the number of input tokens + seq_len > max_seq_len, the output will be truncated to max_seq_len tokens.");
 
-int main(int argc, char** argv) {
-  using namespace torch::executor;
+using executorch::runtime::Error;
+using executorch::runtime::MemoryAllocator;
+using executorch::runtime::MethodMeta;
+using executorch::runtime::Result;
 
+int main(int argc, char** argv) {
   gflags::ParseCommandLineFlags(&argc, &argv, true);
 
   const char* tokenizer_path = FLAGS_tokenizer_path.c_str();
@@ -62,7 +61,7 @@ int main(int argc, char** argv) {
   int32_t seq_len = FLAGS_seq_len;
 
   // create llama runner
-  Runner runner(FLAGS_model_path, tokenizer_path, temperature);
+  example::Runner runner(FLAGS_model_path, tokenizer_path, temperature);
   ET_CHECK_MSG(runner.load() == Error::Ok, "Runner failed to load method");
 
   // MethodMeta describes the memory requirements of the method.
diff --git a/examples/qualcomm/oss_scripts/llama2/runner/runner.cpp b/examples/qualcomm/oss_scripts/llama2/runner/runner.cpp
new file mode 100644
index 0000000000..2d37748fbe
--- /dev/null
+++ b/examples/qualcomm/oss_scripts/llama2/runner/runner.cpp
@@ -0,0 +1,668 @@
+/*
+ * Copyright (c) Qualcomm Innovation Center, Inc.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// A simple llama2 runner that includes preprocessing and post processing logic.
+// The module takes in a string as input and emits a string as output.
+
+#include <executorch/examples/qualcomm/oss_scripts/llama2/runner/runner.h>
+#include <executorch/extension/evalue_util/print_evalue.h>
+#include <executorch/extension/llm/runner/util.h>
+#include <executorch/extension/llm/tokenizer/bpe_tokenizer.h>
+#include <executorch/runtime/core/exec_aten/exec_aten.h>
+#include <executorch/runtime/core/exec_aten/util/scalar_type_util.h>
+#include <executorch/runtime/core/exec_aten/util/tensor_util.h>
+#include <executorch/runtime/platform/log.h>
+
+#include <ctime>
+#include <memory>
+#include <sstream>
+
+using executorch::aten::ScalarType;
+using executorch::aten::SizesType;
+using executorch::aten::Tensor;
+using executorch::extension::from_blob;
+using executorch::extension::Module;
+using executorch::extension::TensorPtr;
+using executorch::extension::llm::BPETokenizer;
+using executorch::extension::llm::Sampler;
+using executorch::extension::llm::time_in_ms;
+using executorch::runtime::Error;
+using executorch::runtime::EValue;
+using executorch::runtime::MethodMeta;
+using executorch::runtime::Result;
+using executorch::runtime::TensorInfo;
+
+// TODO: Remove this usage of an internal-only function.
+using executorch::runtime::internal::set_tensor_data;
+
+namespace example {
+
+namespace {
+static constexpr auto kTopp = 0.9f;
+void printReport(const Runner::Stats& stats);
+std::string statsToJsonString(const Runner::Stats& stats);
+} // namespace
+
+Runner::Runner(
+    const std::string& model_path,
+    const std::string& tokenizer_path,
+    const float temperature)
+    : module_(std::make_unique<Module>(
+          model_path,
+          Module::LoadMode::MmapUseMlockIgnoreErrors)),
+      tokenizer_path_(tokenizer_path),
+      model_path_(model_path),
+      temperature_(temperature) {
+  ET_LOG(
+      Info,
+      "Creating LLaMa runner: model_path=%s, tokenizer_path=%s",
+      model_path.c_str(),
+      tokenizer_path.c_str());
+}
+
+bool Runner::is_loaded() const {
+  return module_->is_loaded() && tokenizer_ && sampler_;
+}
+
+Error Runner::load() {
+  if (is_loaded()) {
+    return Error::Ok;
+  }
+  stats_.model_load_start_ms = time_in_ms();
+  ET_CHECK_OK_OR_RETURN_ERROR(module_->load_method("forward"));
+
+  // Read out metadata from the model
+  ET_LOG(Info, "Reading metadata from model");
+  const auto method_names = module_->method_names();
+  ET_CHECK_MSG(method_names.ok(), "Failed to read method names from model");
+  model_methods_ = method_names.get();
+  vocab_size_ = getMetadataHelper<int64_t>("get_vocab_size", 32000);
+  bos_id_ = getMetadataHelper<int64_t>("get_bos_id", 1);
+  eos_id_ = getMetadataHelper<int64_t>("get_eos_id", 2);
+  n_bos_ = getMetadataHelper<int64_t>("get_n_bos", 1);
+  n_eos_ = getMetadataHelper<int64_t>("get_n_eos", 1);
+  max_seq_len_ = getMetadataHelper<int64_t>("get_max_seq_len", 128);
+  head_dim_ = getMetadataHelper<int64_t>("get_head_dim", 32);
+  dim_ = getMetadataHelper<int64_t>("get_dim", 4096);
+
+  // Load tokenizer
+  tokenizer_ = std::make_unique<BPETokenizer>();
+  tokenizer_->load(tokenizer_path_);
+  if (tokenizer_->bos_tok() != bos_id_) {
+    ET_LOG(
+        Error,
+        "Tokenizer's BOS id %lu does not match model's BOS id %ld, will override tokenizer's BOS.",
+        tokenizer_->bos_tok(),
+        bos_id_);
+  }
+  if (tokenizer_->eos_tok() != eos_id_) {
+    ET_LOG(
+        Error,
+        "Tokenizer's EOS id %lu does not match model's EOS id %ld, will override tokenizer's EOS.",
+        tokenizer_->eos_tok(),
+        eos_id_);
+  }
+  // Create sampler
+  sampler_ = std::make_unique<Sampler>(
+      vocab_size_,
+      temperature_,
+      kTopp,
+      static_cast<unsigned long long>(std::time(nullptr)));
+  stats_.model_load_end_ms = time_in_ms();
+
+  return Error::Ok;
+}
+
+template <typename T>
+T Runner::getMetadataHelper(std::string method_name, T default_val) {
+  T res = default_val;
+  if (model_methods_.count(method_name)) {
+    Result<std::vector<EValue>> outputs = module_->execute(method_name);
+    if (outputs.ok()) {
+      std::vector<EValue> outs = outputs.get();
+      if (outs.size() > 0) {
+        res = outs[0].to<T>();
+      }
+    }
+  } else {
+    ET_LOG(
+        Info,
+        "The model does not contain %s method, using default value %lld",
+        method_name.c_str(),
+        (long long)default_val);
+  }
+  ET_LOG(Info, "%s: %lld", method_name.c_str(), (long long)res);
+  return res;
+}
+
+template <typename T>
+int32_t Runner::logitsToToken(const Tensor& logits_tensor) {
+  T* logits = logits_tensor.mutable_data_ptr<T>();
+
+  // Since the logits are for all tokens, get the last token probabilities
+  T* logits_last = logits;
+  return sampler_->sample(logits_last);
+}
+
+// Given an input token. Set up the inputs for the model and execute a single
+// step. Returning the logits tensor.
+Result<Tensor> Runner::run_model_step(
+    int64_t input_token,
+    TensorPtr& token,
+    TensorPtr& start_pos,
+    TensorPtr& atten_mask,
+    std::vector<TensorPtr>& kv_tensors,
+    std::vector<TensorPtr>& kv_outputs) {
+  token->mutable_data_ptr<int32_t>()[0] = input_token;
+
+  // inputs:[tokens, start_pos, atten_mask, k_cache, v_cache]
+  auto outputs_res = module_->forward({token, start_pos, atten_mask});
+  ET_CHECK_OK_OR_RETURN_ERROR(outputs_res.error());
+
+  // TODO: need to handle batch size != 1
+  size_t v_offset = kv_outputs[0]->nbytes();
+  size_t el_size = kv_outputs[0]->element_size();
+  size_t k_input_step = (max_seq_len_ - 1) * el_size;
+  int k_tensors_end = kv_tensors.size() / 2;
+  // update k caches
+  for (int j = 0; j < k_tensors_end; ++j) {
+    uint8_t* input_addr =
+        static_cast<uint8_t*>(kv_tensors[j]->mutable_data_ptr());
+    uint8_t* output_addr =
+        static_cast<uint8_t*>(kv_outputs[j]->mutable_data_ptr());
+    // fill the output k values back
+    for (int src = 0, dst = k_input_step; src < kv_outputs[j]->nbytes();
+         src += el_size, dst += k_input_step) {
+      input_addr[dst] = output_addr[src];
+    }
+    char* new_inp_addr = io_mem_mgr_.update_k_caches_read(j, el_size);
+    // inputs
+    ET_CHECK_MSG(
+        set_tensor_data(
+            *kv_tensors[j], new_inp_addr, kv_tensors[j]->nbytes()) == Error::Ok,
+        "Failed to set input tensor when updating k_cache");
+  }
+  // update v caches
+  for (int j = k_tensors_end, v_idx = 0; j < kv_tensors.size(); ++j, ++v_idx) {
+    // inputs
+    char* new_inp_addr = io_mem_mgr_.update_v_caches_read(v_idx, v_offset);
+
+    ET_CHECK_MSG(
+        set_tensor_data(
+            *kv_tensors[j], new_inp_addr, kv_tensors[j]->nbytes()) == Error::Ok,
+        "Failed to set input tensor when updating v_cache");
+    // outputs
+    char* new_out_addr = io_mem_mgr_.update_v_caches_write(v_idx, v_offset);
+    ET_CHECK_MSG(
+        set_tensor_data(
+            *kv_outputs[j], new_out_addr, kv_outputs[j]->nbytes()) == Error::Ok,
+        "Failed to set output tensor when updating v_cache");
+    ET_CHECK_MSG(
+        module_->set_output(*kv_outputs[j], j + 1) == Error::Ok,
+        "Failed to set llama output data pointer");
+  }
+
+  // Bump start_pos by 1
+  start_pos->mutable_data_ptr<int32_t>()[0]++;
+
+  // update atten_mask
+  atten_mask->mutable_data_ptr<float>()
+      [atten_mask->numel() - 1 - start_pos->const_data_ptr<int32_t>()[0]] = 0;
+  return outputs_res.get()[0].toTensor();
+}
+// TODO: add overloaded method for on-device tokenize
+Error Runner::generate(
+    const std::string& prompt,
+    int32_t seq_len,
+    std::function<void(const std::string&)> token_callback,
+    std::function<void(const Stats&)> stats_callback) {
+  ET_CHECK_MSG(!prompt.empty(), "Prompt cannot be null");
+  ET_CHECK_MSG(is_loaded(), "Please invoke load method first");
+
+  // First token time only measures the time it takes to encode the prompt and
+  // return a response token.
+  stats_.inference_start_ms = time_in_ms();
+  shouldStop_ = false;
+
+  // Set the sequence length to the max seq length if not provided
+  seq_len = (seq_len > 0 && seq_len <= max_seq_len_) ? seq_len : max_seq_len_;
+
+  Result<std::vector<uint64_t>> encode_res =
+      tokenizer_->encode(prompt, n_bos_, 0);
+
+  ET_CHECK_OK_OR_RETURN_ERROR(
+      encode_res.error(), "Failed to encode prompt %s", prompt.c_str());
+
+  // encode the (string) prompt into tokens sequence
+  std::vector<uint64_t> prompt_tokens = encode_res.get();
+  int num_prompt_tokens = prompt_tokens.size();
+
+  ET_CHECK_MSG(
+      num_prompt_tokens < max_seq_len_,
+      "Max seq length exceeded - please increase max seq len value in static_llama.py");
+
+  ET_CHECK_MSG(
+      num_prompt_tokens < seq_len,
+      "Sequence length exceeded - please increase the seq_len value passed to generate()");
+
+  int32_t pos = 0, prev_token, cur_token = prompt_tokens[0];
+  std::vector<SizesType> token_shape = {1, 1};
+
+  io_mem_mgr_.get_input_token_ptr()[0] = 0;
+  std::vector<SizesType> start_pos_shape = {1, 1};
+
+  float* atten_mask_ptr =
+      reinterpret_cast<float*>(io_mem_mgr_.get_atten_mask_ptr());
+  std::fill(atten_mask_ptr, atten_mask_ptr + max_seq_len_, -255);
+  atten_mask_ptr[max_seq_len_ - 1] = 0;
+
+  std::vector<SizesType> atten_mask_shape = {1, max_seq_len_};
+
+  std::vector<SizesType> logits_data_shape = {1, vocab_size_};
+
+  std::vector<SizesType> hidden_states_data_shape = {1, 1, dim_};
+
+  // initialize tensor wrappers
+  auto token = from_blob(
+      io_mem_mgr_.get_input_token_ptr(), token_shape, ScalarType::Int);
+  auto start_pos = from_blob(
+      io_mem_mgr_.get_pos_idx_ptr(), start_pos_shape, ScalarType::Int);
+  auto atten_mask = from_blob(
+      io_mem_mgr_.get_atten_mask_ptr(), atten_mask_shape, ScalarType::Float);
+
+  std::vector<TensorPtr> kv_tensors, kv_outputs;
+
+  Result<MethodMeta> method_meta = get_method_meta();
+  size_t num_inputs = method_meta->num_inputs();
+  int k_caches_num = (num_inputs - 3) / 2;
+
+  // TODO: need to handle batch size != 1
+  // k caches init
+  for (int input_index = 3, i = 0; input_index < k_caches_num + 3;
+       ++input_index, ++i) {
+    // inputs
+    Result<TensorInfo> tensor_meta =
+        method_meta->input_tensor_meta(input_index);
+
+    auto tensor_shape = tensor_meta->sizes();
+    std::vector<SizesType> sizes(
+        tensor_shape.data(), tensor_shape.data() + tensor_shape.size());
+    kv_tensors.emplace_back(from_blob(
+        io_mem_mgr_.get_k_caches_read_ptr(i),
+        sizes,
+        tensor_meta->scalar_type()));
+
+    // outpus
+    Result<TensorInfo> out_tensor_meta = method_meta->output_tensor_meta(i + 1);
+    tensor_shape = out_tensor_meta->sizes();
+    sizes = std::vector<SizesType>{
+        tensor_shape.data(), tensor_shape.data() + tensor_shape.size()};
+    kv_outputs.emplace_back(from_blob(
+        io_mem_mgr_.get_k_caches_write_ptr(i),
+        sizes,
+        kv_tensors.back()->scalar_type()));
+    ET_CHECK_MSG(
+        module_->set_output(kv_outputs.back(), i + 1) == Error::Ok,
+        "Failed to set output tensor for kv cache");
+  }
+
+  // v caches init
+  for (int i = 0, input_index = k_caches_num + 3; input_index < num_inputs;
+       ++input_index, ++i) {
+    int output_index = i + k_caches_num + 1;
+    // inputs
+    Result<TensorInfo> tensor_meta =
+        method_meta->input_tensor_meta(input_index);
+    auto tensor_shape = tensor_meta->sizes();
+    std::vector<SizesType> sizes(
+        tensor_shape.data(), tensor_shape.data() + tensor_shape.size());
+
+    kv_tensors.emplace_back(from_blob(
+        io_mem_mgr_.get_v_caches_read_ptr(i),
+        sizes,
+        tensor_meta->scalar_type()));
+
+    // outputs
+    Result<TensorInfo> out_tensor_meta =
+        method_meta->output_tensor_meta(output_index);
+    tensor_shape = out_tensor_meta->sizes();
+    sizes = std::vector<SizesType>{
+        tensor_shape.data(), tensor_shape.data() + tensor_shape.size()};
+
+    kv_outputs.push_back(from_blob(
+        io_mem_mgr_.get_v_caches_write_ptr(i),
+        sizes,
+        kv_tensors.back()->scalar_type()));
+    ET_CHECK_MSG(
+        module_->set_output(kv_outputs.back(), output_index) == Error::Ok,
+        "Failed to set output tensor for llama block");
+  }
+
+  auto affine_logits = from_blob(
+      reinterpret_cast<float*>(io_mem_mgr_.get_logit_ptr()),
+      logits_data_shape,
+      ScalarType::Float);
+  ET_CHECK_MSG(
+      module_->set_output(affine_logits) == Error::Ok,
+      "Failed to set output tensor for affine module - logits");
+
+  // Start consuming user's prompts and generating new tokens
+  std::string final_output;
+  while (pos < seq_len - 1) {
+    // Run the model
+    auto logits_res = run_model_step(
+        cur_token, token, start_pos, atten_mask, kv_tensors, kv_outputs);
+    if (pos == num_prompt_tokens) {
+      stats_.first_token_ms = time_in_ms();
+    } else if (pos == num_prompt_tokens - 1) {
+      stats_.prompt_eval_end_ms = time_in_ms();
+    }
+
+    ET_CHECK_OK_OR_RETURN_ERROR(logits_res.error());
+    Tensor& logits_tensor = logits_res.get();
+    prev_token = cur_token;
+    long sample_start_time_ms = time_in_ms();
+
+    cur_token = logitsToToken<float>(logits_tensor);
+    stats_.aggregate_sampling_time_ms += time_in_ms() - sample_start_time_ms;
+
+    // advance the state machine
+    if (pos < num_prompt_tokens - 1) {
+      // prefill, force the next token to be the next prompt token
+      cur_token = prompt_tokens[pos + 1];
+    }
+    pos++;
+
+    // print the token as string, decode it with the Tokenizer object
+    auto piece_res = tokenizer_->decode(prev_token, cur_token);
+    ET_CHECK(piece_res.ok());
+
+    if (token_callback) {
+      token_callback(piece_res.get());
+    }
+
+    if (shouldStop_) {
+      break;
+    }
+
+    // data-dependent terminating condition: we have n_eos_ number of EOS
+    if (pos >= num_prompt_tokens && cur_token == eos_id_) {
+      ET_LOG(Info, "Reached to the end of generation");
+      break;
+    }
+  }
+  stats_.inference_end_ms = time_in_ms();
+
+  if (pos == seq_len) {
+    ET_LOG(Info, "Sequence length (%i tokens) reached!", seq_len);
+  }
+
+  stats_.num_prompt_tokens = num_prompt_tokens;
+  stats_.num_generated_tokens = pos - num_prompt_tokens;
+  printReport(stats_);
+  if (stats_callback) {
+    stats_callback(stats_);
+  }
+
+  return Error::Ok;
+}
+
+namespace {
+void printReport(const Runner::Stats& stats) {
+  printf("PyTorchObserver %s\n", statsToJsonString(stats).c_str());
+
+  ET_LOG(
+      Info,
+      "\tPrompt Tokens: %" PRIu64 "    Generated Tokens: %" PRIu64,
+      stats.num_prompt_tokens,
+      stats.num_generated_tokens);
+
+  ET_LOG(
+      Info,
+      "\tModel Load Time:\t\t%f (seconds)",
+      ((double)(stats.model_load_end_ms - stats.model_load_start_ms) /
+       stats.SCALING_FACTOR_UNITS_PER_SECOND));
+  double inference_time_ms =
+      (double)(stats.inference_end_ms - stats.inference_start_ms);
+  ET_LOG(
+      Info,
+      "\tTotal inference time:\t\t%f (seconds)\t\t Rate: \t%f (tokens/second)",
+      inference_time_ms / stats.SCALING_FACTOR_UNITS_PER_SECOND,
+
+      (stats.num_generated_tokens) /
+          (double)(stats.inference_end_ms - stats.inference_start_ms) *
+          stats.SCALING_FACTOR_UNITS_PER_SECOND);
+  double prompt_eval_time =
+      (double)(stats.prompt_eval_end_ms - stats.inference_start_ms);
+  ET_LOG(
+      Info,
+      "\t\tPrompt evaluation:\t%f (seconds)\t\t Rate: \t%f (tokens/second)",
+      prompt_eval_time / stats.SCALING_FACTOR_UNITS_PER_SECOND,
+      (stats.num_prompt_tokens) / prompt_eval_time *
+          stats.SCALING_FACTOR_UNITS_PER_SECOND);
+
+  double eval_time =
+      (double)(stats.inference_end_ms - stats.prompt_eval_end_ms);
+  ET_LOG(
+      Info,
+      "\t\tGenerated %" PRIu64
+      " tokens:\t%f (seconds)\t\t Rate: \t%f (tokens/second)",
+      stats.num_generated_tokens,
+      eval_time / stats.SCALING_FACTOR_UNITS_PER_SECOND,
+      stats.num_generated_tokens / eval_time *
+          stats.SCALING_FACTOR_UNITS_PER_SECOND);
+
+  // Time to first token is measured from the start of inference, excluding
+  // model load time.
+  ET_LOG(
+      Info,
+      "\tTime to first generated token:\t%f (seconds)",
+      ((double)(stats.first_token_ms - stats.inference_start_ms) /
+       stats.SCALING_FACTOR_UNITS_PER_SECOND));
+
+  ET_LOG(
+      Info,
+      "\tSampling time over %" PRIu64 " tokens:\t%f (seconds)",
+      stats.num_prompt_tokens + stats.num_generated_tokens,
+      (double)stats.aggregate_sampling_time_ms /
+          stats.SCALING_FACTOR_UNITS_PER_SECOND);
+}
+
+std::string statsToJsonString(const Runner::Stats& stats) {
+  std::stringstream ss;
+  ss << "{\"prompt_tokens\":" << stats.num_prompt_tokens << ","
+     << "\"generated_tokens\":" << stats.num_generated_tokens << ","
+     << "\"model_load_start_ms\":" << stats.model_load_start_ms << ","
+     << "\"model_load_end_ms\":" << stats.model_load_end_ms << ","
+     << "\"inference_start_ms\":" << stats.inference_start_ms << ","
+     << "\"inference_end_ms\":" << stats.inference_end_ms << ","
+     << "\"prompt_eval_end_ms\":" << stats.prompt_eval_end_ms << ","
+     << "\"first_token_ms\":" << stats.first_token_ms << ","
+     << "\"aggregate_sampling_time_ms\":" << stats.aggregate_sampling_time_ms
+     << "," << "\"SCALING_FACTOR_UNITS_PER_SECOND\":"
+     << stats.SCALING_FACTOR_UNITS_PER_SECOND << "}";
+  return ss.str();
+}
+} // namespace
+
+IoMemMgr::IoMemMgr(MethodMeta method_meta) {
+  method_meta_ = std::make_unique<MethodMeta>(method_meta);
+  init_io_info();
+  compute_total_nbytes();
+}
+
+void IoMemMgr::init_io_info() {
+  set_tensor_meta();
+  for (auto info : io_info_.tensor_info) {
+    info->size = info->tensor_meta->nbytes();
+    info->rank = info->tensor_meta->sizes().size();
+    info->shape.resize(info->rank);
+    for (int i = 0; i < info->rank; i++) {
+      info->shape[i] =
+          static_cast<uint32_t>(info->tensor_meta->sizes().data()[i]);
+    }
+    info->dtype = info->tensor_meta->scalar_type();
+    info->element_size = scalar_type_to_size[info->tensor_meta->scalar_type()];
+  }
+};
+
+void IoMemMgr::set_tensor_meta() {
+  io_info_.input_token.tensor_meta =
+      std::make_unique<TensorInfo>(method_meta_->input_tensor_meta(0).get());
+  io_info_.pos_idx.tensor_meta =
+      std::make_unique<TensorInfo>(method_meta_->input_tensor_meta(1).get());
+  io_info_.atten_mask.tensor_meta =
+      std::make_unique<TensorInfo>(method_meta_->input_tensor_meta(2).get());
+
+  io_info_.k_caches_read.tensor_meta =
+      std::make_unique<TensorInfo>(method_meta_->input_tensor_meta(3).get());
+  io_info_.k_caches_write.tensor_meta =
+      std::make_unique<TensorInfo>(method_meta_->output_tensor_meta(1).get());
+
+  io_info_.v_caches_read.tensor_meta = std::make_unique<TensorInfo>(
+      method_meta_->input_tensor_meta(method_meta_->num_inputs() - 1).get());
+  io_info_.v_caches_write.tensor_meta = std::make_unique<TensorInfo>(
+      method_meta_->output_tensor_meta(method_meta_->num_outputs() - 1).get());
+
+  io_info_.logit.tensor_meta =
+      std::make_unique<TensorInfo>(method_meta_->output_tensor_meta(0).get());
+}
+
+void IoMemMgr::compute_total_nbytes() {
+  total_nbytes_ = io_info_.input_token.size + io_info_.pos_idx.size +
+      io_info_.atten_mask.size + io_info_.logit.size;
+  size_t num_heads = (method_meta_->num_inputs() - 3) / 2;
+
+  // To update v cache via shifting pointer, v caches need a buffer with size
+  // of (max_seq_len_ - 1) * head_dim_. It is equivalent to one more cache
+  size_t num_v_cache = num_heads + 1;
+  // To update v cache via shifting pointer, k buffer need the size of
+  // max_seq_len - 1
+  size_t k_buffer = io_info_.k_caches_read.size / io_info_.k_caches_write.size;
+
+  // k_caches_read need a buffer with size of head_dim_
+  total_nbytes_ += num_heads * io_info_.k_caches_read.size + k_buffer;
+  total_nbytes_ += num_heads * io_info_.k_caches_write.size;
+  total_nbytes_ += num_v_cache * io_info_.v_caches_read.size;
+  // Add a head dim size for the convinience of shifting ptr from the last
+  // non-used v cache write
+  total_nbytes_ += io_info_.v_caches_write.size;
+}
+
+bool IoMemMgr::init_tensors() {
+  size_t cur_pos = input_token_pos_;
+  pos_idx_pos_ = cur_pos += io_info_.input_token.size;
+  atten_mask_pos_ = cur_pos += io_info_.pos_idx.size;
+  logit_pos_ = cur_pos += io_info_.atten_mask.size;
+  set_input_token_ptr();
+  set_pos_idx_ptr();
+  set_atten_mask_ptr();
+  set_logit_ptr();
+
+  // set start point of kv caches
+  cur_pos += io_info_.logit.size;
+
+  size_t num_heads = (method_meta_->num_inputs() - 3) / 2;
+  k_caches_read_pos_.resize(num_heads);
+  k_caches_write_pos_.resize(num_heads);
+  v_caches_read_pos_.resize(num_heads);
+  v_caches_write_pos_.resize(num_heads);
+
+  for (int i = 0; i < num_heads; i++) {
+    set_k_caches_read(i, cur_pos);
+    cur_pos += io_info_.k_caches_read.size;
+  }
+  // add a size of k caches buffer
+  cur_pos += io_info_.k_caches_read.size / io_info_.k_caches_write.size;
+  for (int i = 0; i < num_heads; i++) {
+    set_k_caches_write(i, cur_pos);
+    cur_pos += io_info_.k_caches_write.size;
+  }
+
+  for (int i = 0; i < num_heads; i++) {
+    set_v_caches_read(i, cur_pos);
+    set_v_caches_write(i, cur_pos + io_info_.v_caches_read.size);
+    cur_pos += io_info_.v_caches_read.size;
+  }
+  // add a caches as the b caches buffer
+  cur_pos += io_info_.v_caches_read.size;
+  return cur_pos <= total_nbytes_;
+}
+
+void IoMemMgr::set_all_shifted_ptrs(size_t seq_len) {
+  auto iter_setter = [&](std::vector<size_t>& cache,
+                         size_t shift_size,
+                         InfoAttrs& tensor_info) {
+    for (int i = 0; i < cache.size(); ++i) {
+      size_t pos = cache[i] + shift_size;
+      CustomMemTensorInfo info = {
+          ptr_,
+          ptr_ + pos,
+          pos,
+          tensor_info.size,
+          tensor_info.shape.data(),
+          tensor_info.rank,
+          tensor_info.dtype};
+      QnnExecuTorchAddCustomMemTensorInfo(info);
+    }
+  };
+  for (int i = 0; i < seq_len; ++i) {
+    iter_setter(
+        k_caches_read_pos_,
+        i * io_info_.k_caches_read.element_size,
+        io_info_.k_caches_read);
+    iter_setter(
+        v_caches_read_pos_,
+        i * io_info_.v_caches_write.size,
+        io_info_.v_caches_read);
+    iter_setter(
+        v_caches_write_pos_,
+        i * io_info_.v_caches_write.size,
+        io_info_.v_caches_write);
+  }
+}
+
+void Runner::stop() {
+  shouldStop_ = true;
+}
+
+Result<MethodMeta> Runner::get_method_meta() {
+  return module_->method_meta("forward");
+}
+
+Error Runner::mem_alloc(size_t alignment, size_t seq_len) {
+  Result<MethodMeta> method_meta_result = get_method_meta();
+  io_mem_mgr_ = IoMemMgr(method_meta_result.get());
+  ET_CHECK_MSG(
+      io_mem_mgr_.allocate(alignment),
+      "IoMemMgr failed to allocate custom memory");
+
+  ET_CHECK_MSG(
+      io_mem_mgr_.init_tensors(),
+      "IoMemMgr required more bytes than allocated bytes");
+
+  io_mem_mgr_.set_all_shifted_ptrs(seq_len);
+  // To register rpc_mem_handle from SharedBuffer
+  // Reset and re-init again to trigger registered function
+  module_.reset();
+  module_ = std::make_unique<Module>(
+      model_path_, Module::LoadMode::MmapUseMlockIgnoreErrors),
+  ET_CHECK_MSG(load() == Error::Ok, "Runner failed to load method");
+
+  return Error::Ok;
+}
+
+// explicit instantiation of template methods
+template int64_t Runner::getMetadataHelper<int64_t>(
+    std::string method_name,
+    int64_t default_val);
+template bool Runner::getMetadataHelper<bool>(
+    std::string method_name,
+    bool default_val);
+
+} // namespace example
diff --git a/examples/qualcomm/oss_scripts/llama2/runner/runner.h b/examples/qualcomm/oss_scripts/llama2/runner/runner.h
new file mode 100644
index 0000000000..700cb94f52
--- /dev/null
+++ b/examples/qualcomm/oss_scripts/llama2/runner/runner.h
@@ -0,0 +1,280 @@
+/*
+ * Copyright (c) Qualcomm Innovation Center, Inc.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// A simple llama2 runner that includes preprocessing and post processing logic.
+// The module takes in a string as input and emits a string as output.
+
+#pragma once
+
+#include <cstdint>
+#include <functional>
+#include <memory>
+#include <string>
+#include <unordered_map>
+
+#include <executorch/backends/qualcomm/runtime/QnnExecuTorch.h>
+#include <executorch/extension/llm/sampler/sampler.h>
+#include <executorch/extension/llm/tokenizer/tokenizer.h>
+#include <executorch/extension/module/module.h>
+#include <executorch/extension/tensor/tensor.h>
+
+class RpcMemAllocator {
+ public:
+  RpcMemAllocator(QnnMemDescriptor shared_buffer_type)
+      : shared_buffer_type_(shared_buffer_type){};
+  bool allocate(size_t bytes, size_t alignment) {
+    ptr_ = QnnExecuTorchAllocCustomMem(bytes, alignment);
+    if (ptr_ == nullptr) {
+      ET_LOG(
+          Info,
+          "Allocate Rpc mem falied, fallback to nromal ptr: bytes=%zu, alignment=%zu",
+          bytes,
+          alignment);
+      input_data_.resize(bytes);
+      ptr_ = input_data_.data();
+    }
+    return ptr_ != nullptr;
+  }
+
+  ~RpcMemAllocator() {
+    if (shared_buffer_type_ == QnnMemDescriptor::kIon ||
+        shared_buffer_type_ == QnnMemDescriptor::kCustom) {
+      if (ptr_ != nullptr) {
+        QnnExecuTorchFreeCustomMem(ptr_);
+      }
+    }
+  }
+
+  void* GetPtr() {
+    return ptr_;
+  }
+
+ private:
+  QnnMemDescriptor shared_buffer_type_;
+  void* ptr_{nullptr};
+  std::vector<char> input_data_;
+  std::vector<size_t> tensor_base_addrs_;
+};
+
+#define DEFINE_IOMEMMGR_ACCESSOR(name)                  \
+  size_t get_##name##_pos() const {                     \
+    return name##_pos_;                                 \
+  }                                                     \
+  char* get_##name##_ptr() const {                      \
+    return reinterpret_cast<char*>(ptr_) + name##_pos_; \
+  }                                                     \
+  char* set_##name##_ptr() {                            \
+    CustomMemTensorInfo info = {                        \
+        ptr_,                                           \
+        ptr_ + name##_pos_,                             \
+        name##_pos_,                                    \
+        io_info_.name.size,                             \
+        io_info_.name.shape.data(),                     \
+        io_info_.name.rank,                             \
+        io_info_.name.dtype};                           \
+    QnnExecuTorchAddCustomMemTensorInfo(info);          \
+    return reinterpret_cast<char*>(ptr_) + name##_pos_; \
+  }
+
+#define DEFINE_IOMEMMGR_VEC_ACCESSOR(name)                   \
+  const std::vector<size_t>& get_##name##_pos_vec() const {  \
+    return name##_pos_;                                      \
+  }                                                          \
+  char* get_##name##_ptr(int idx) {                          \
+    return ptr_ + name##_pos_[idx];                          \
+  }                                                          \
+  char* set_##name(int idx, size_t pos) {                    \
+    name##_pos_[idx] = pos;                                  \
+    CustomMemTensorInfo info = {                             \
+        ptr_,                                                \
+        ptr_ + name##_pos_[idx],                             \
+        name##_pos_[idx],                                    \
+        io_info_.name.size,                                  \
+        io_info_.name.shape.data(),                          \
+        io_info_.name.rank,                                  \
+        io_info_.name.dtype};                                \
+    QnnExecuTorchAddCustomMemTensorInfo(info);               \
+    return reinterpret_cast<char*>(ptr_) + pos;              \
+  }                                                          \
+  char* update_##name(int idx, size_t shift_size) {          \
+    name##_pos_[idx] += shift_size;                          \
+    return reinterpret_cast<char*>(ptr_) + name##_pos_[idx]; \
+  }
+
+namespace example {
+class IoMemMgr {
+ public:
+  // Allocate a big memory which is capable to contain all IO of all modules
+  IoMemMgr(){};
+  IoMemMgr(executorch::runtime::MethodMeta method_meta);
+
+  struct InfoAttrs {
+    std::unique_ptr<executorch::runtime::TensorInfo> tensor_meta;
+    size_t size = 0;
+    std::vector<uint32_t> shape;
+    uint32_t rank;
+    size_t element_size;
+    executorch::aten::ScalarType dtype;
+  };
+
+  struct IoInfo {
+    InfoAttrs input_token;
+    InfoAttrs pos_idx;
+    InfoAttrs atten_mask;
+    InfoAttrs k_caches_read;
+    InfoAttrs k_caches_write;
+    InfoAttrs v_caches_read;
+    InfoAttrs v_caches_write;
+    InfoAttrs logit;
+    std::vector<InfoAttrs*> tensor_info{
+        &input_token,
+        &pos_idx,
+        &atten_mask,
+        &k_caches_read,
+        &k_caches_write,
+        &v_caches_read,
+        &v_caches_write,
+        &logit,
+    };
+  };
+
+  bool allocate(size_t alignment) {
+    bool ret = rpc_mem_allocator.allocate(total_nbytes_, alignment);
+    ptr_ = reinterpret_cast<char*>(rpc_mem_allocator.GetPtr());
+    return ret;
+  }
+  bool init_tensors();
+
+  char* get_custom_mem_ptr() {
+    return ptr_;
+  }
+
+  // Pointers of k cache read, v cache read and write are shifted every step.
+  // Set them first to register mem handle during qnn delegation init.
+  void set_all_shifted_ptrs(size_t max_seq_len);
+
+  DEFINE_IOMEMMGR_ACCESSOR(atten_mask);
+  DEFINE_IOMEMMGR_ACCESSOR(input_token);
+  DEFINE_IOMEMMGR_ACCESSOR(pos_idx);
+  DEFINE_IOMEMMGR_ACCESSOR(logit);
+
+  DEFINE_IOMEMMGR_VEC_ACCESSOR(k_caches_read);
+  DEFINE_IOMEMMGR_VEC_ACCESSOR(k_caches_write);
+  DEFINE_IOMEMMGR_VEC_ACCESSOR(v_caches_read);
+  DEFINE_IOMEMMGR_VEC_ACCESSOR(v_caches_write);
+
+ private:
+  size_t total_nbytes_{0};
+  char* ptr_{nullptr};
+  void compute_total_nbytes();
+  void set_tensor_meta();
+  void init_io_info();
+
+  size_t atten_mask_pos_;
+  size_t input_token_pos_{0};
+  size_t logit_pos_;
+  size_t pos_idx_pos_;
+  std::vector<size_t> k_caches_read_pos_;
+  std::vector<size_t> k_caches_write_pos_;
+  std::vector<size_t> v_caches_read_pos_;
+  std::vector<size_t> v_caches_write_pos_;
+
+  IoInfo io_info_;
+  std::unique_ptr<executorch::runtime::MethodMeta> method_meta_;
+  RpcMemAllocator rpc_mem_allocator{QnnMemDescriptor::kCustom};
+  std::unordered_map<executorch::aten::ScalarType, size_t> scalar_type_to_size =
+      {
+          {executorch::aten::ScalarType::Int, sizeof(int32_t)},
+          {executorch::aten::ScalarType::Float, sizeof(float)},
+          {executorch::aten::ScalarType::Char, sizeof(int8_t)},
+          {executorch::aten::ScalarType::Short, sizeof(int16_t)},
+          {executorch::aten::ScalarType::Byte, sizeof(uint8_t)},
+          {executorch::aten::ScalarType::Bits16, sizeof(uint16_t)},
+  };
+};
+
+class Runner {
+ public:
+  explicit Runner(
+      const std::string& model_path,
+      const std::string& tokenizer_path,
+      const float temperature = 0.8f);
+
+  struct Stats {
+    // Scaling factor for timestamps - in this case, we use ms.
+    const long SCALING_FACTOR_UNITS_PER_SECOND = 1000;
+    // Time stamps for the different stages of the execution
+    // model_load_start_ms: Start of model loading.
+    long model_load_start_ms;
+    // model_load_end_ms: End of model loading.
+    long model_load_end_ms;
+    // inference_start_ms: Immediately after the model is loaded (or we check
+    // for model load), measure the inference time.
+    long inference_start_ms;
+    // prompt_eval_end_ms: Prompt array allocation and tokenization. Ends right
+    // before the inference loop starts
+    long prompt_eval_end_ms;
+    // first_token: Timestamp when the first generated token is emitted
+    long first_token_ms;
+    // inference_end_ms: End of inference/generation.
+    long inference_end_ms;
+    // Keep a running total of the time spent in sampling.
+    long aggregate_sampling_time_ms;
+    // Token count from prompt
+    int64_t num_prompt_tokens;
+    // Token count from generated (total - prompt)
+    int64_t num_generated_tokens;
+  };
+
+  bool is_loaded() const;
+  executorch::runtime::Error load();
+  executorch::runtime::Error mem_alloc(size_t alignment, size_t seq_len);
+  executorch::runtime::Error generate(
+      const std::string& prompt,
+      int32_t seq_len,
+      std::function<void(const std::string&)> token_callback = {},
+      std::function<void(const Stats&)> stats_callback = {});
+  void stop();
+  executorch::runtime::Result<executorch::runtime::MethodMeta>
+  get_method_meta();
+
+ private:
+  // metadata
+  template <typename T>
+  T getMetadataHelper(std::string method_name, T default_val);
+  template <typename T>
+  int32_t logitsToToken(const executorch::aten::Tensor& logits_tensor);
+  executorch::runtime::Result<executorch::aten::Tensor> run_model_step(
+      int64_t input_token,
+      ::executorch::extension::TensorPtr& token,
+      ::executorch::extension::TensorPtr& start_pos,
+      ::executorch::extension::TensorPtr& atten_mask,
+      std::vector<::executorch::extension::TensorPtr>& kv_tensors,
+      std::vector<::executorch::extension::TensorPtr>& kv_outputs);
+  // metadata
+  int32_t vocab_size_;
+  int64_t bos_id_;
+  int64_t eos_id_;
+  int32_t n_bos_;
+  int32_t n_eos_;
+  int32_t max_seq_len_;
+  int32_t head_dim_;
+  int32_t dim_;
+  std::unordered_set<std::string> model_methods_;
+  std::unique_ptr<executorch::extension::Module> module_;
+  std::string tokenizer_path_;
+  std::string model_path_;
+  float temperature_;
+  std::unique_ptr<executorch::extension::llm::Tokenizer> tokenizer_;
+  std::unique_ptr<executorch::extension::llm::Sampler> sampler_;
+  bool shouldStop_{false};
+  Stats stats_;
+  IoMemMgr io_mem_mgr_;
+};
+
+} // namespace example
diff --git a/examples/qualcomm/oss_scripts/regnet.py b/examples/qualcomm/oss_scripts/regnet.py
new file mode 100644
index 0000000000..0dc70608da
--- /dev/null
+++ b/examples/qualcomm/oss_scripts/regnet.py
@@ -0,0 +1,181 @@
+# Copyright (c) Qualcomm Innovation Center, Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import json
+import os
+import sys
+from multiprocessing.connection import Client
+
+import numpy as np
+import torch
+from executorch.backends.qualcomm.quantizer.quantizer import QuantDtype
+from executorch.examples.qualcomm.utils import (
+    build_executorch_binary,
+    make_output_dir,
+    parse_skip_delegation_node,
+    setup_common_args_and_variables,
+    SimpleADB,
+    topk_accuracy,
+)
+
+from torchvision.models import (
+    regnet_x_400mf,
+    RegNet_X_400MF_Weights,
+    regnet_y_400mf,
+    RegNet_Y_400MF_Weights,
+)
+
+
+def get_dataset(dataset_path, data_size):
+    from torchvision import datasets, transforms
+
+    def get_data_loader():
+        preprocess = transforms.Compose(
+            [
+                transforms.Resize(256),
+                transforms.CenterCrop(224),
+                transforms.ToTensor(),
+                transforms.Normalize(
+                    mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]
+                ),
+            ]
+        )
+        imagenet_data = datasets.ImageFolder(dataset_path, transform=preprocess)
+        return torch.utils.data.DataLoader(
+            imagenet_data,
+            shuffle=True,
+        )
+
+    # prepare input data
+    inputs, targets, input_list = [], [], ""
+    data_loader = get_data_loader()
+    for index, data in enumerate(data_loader):
+        if index >= data_size:
+            break
+        feature, target = data
+        inputs.append((feature,))
+        for element in target:
+            targets.append(element)
+        input_list += f"input_{index}_0.raw\n"
+
+    return inputs, targets, input_list
+
+
+def main(args):
+    skip_node_id_set, skip_node_op_set = parse_skip_delegation_node(args)
+
+    # ensure the working directory exist.
+    os.makedirs(args.artifact, exist_ok=True)
+
+    if not args.compile_only and args.device is None:
+        raise RuntimeError(
+            "device serial is required if not compile only. "
+            "Please specify a device serial by -s/--device argument."
+        )
+
+    data_num = 100
+    inputs, targets, input_list = get_dataset(
+        dataset_path=f"{args.dataset}",
+        data_size=data_num,
+    )
+
+    if args.weights == "regnet_y_400mf":
+        weights = RegNet_Y_400MF_Weights.DEFAULT
+        model = regnet_y_400mf(weights=weights).eval()
+        pte_filename = "regnet_y_400mf"
+    else:
+        weights = RegNet_X_400MF_Weights.DEFAULT
+        model = regnet_x_400mf(weights=weights).eval()
+        pte_filename = "regnet_x_400mf"
+
+    build_executorch_binary(
+        model,
+        inputs[0],
+        args.model,
+        f"{args.artifact}/{pte_filename}",
+        inputs,
+        quant_dtype=QuantDtype.use_8a8w,
+    )
+
+    if args.compile_only:
+        sys.exit(0)
+
+    adb = SimpleADB(
+        qnn_sdk=os.getenv("QNN_SDK_ROOT"),
+        build_path=f"{args.build_folder}",
+        pte_path=f"{args.artifact}/{pte_filename}.pte",
+        workspace=f"/data/local/tmp/executorch/{pte_filename}",
+        device_id=args.device,
+        host_id=args.host,
+        soc_model=args.model,
+    )
+    adb.push(inputs=inputs, input_list=input_list)
+    adb.execute()
+
+    # collect output data
+    output_data_folder = f"{args.artifact}/outputs"
+    make_output_dir(output_data_folder)
+
+    adb.pull(output_path=args.artifact)
+
+    # top-k analysis
+    predictions = []
+    for i in range(data_num):
+        predictions.append(
+            np.fromfile(
+                os.path.join(output_data_folder, f"output_{i}_0.raw"), dtype=np.float32
+            )
+        )
+
+    k_val = [1, 5]
+    topk = [topk_accuracy(predictions, targets, k).item() for k in k_val]
+    if args.ip and args.port != -1:
+        with Client((args.ip, args.port)) as conn:
+            conn.send(json.dumps({f"top_{k}": topk[i] for i, k in enumerate(k_val)}))
+    else:
+        for i, k in enumerate(k_val):
+            print(f"top_{k}->{topk[i]}%")
+
+
+if __name__ == "__main__":
+    parser = setup_common_args_and_variables()
+    parser.add_argument(
+        "-a",
+        "--artifact",
+        help="path for storing generated artifacts by this example. Default ./regnet",
+        default="./regnet",
+        type=str,
+    )
+
+    parser.add_argument(
+        "-d",
+        "--dataset",
+        help=(
+            "path to the validation folder of ImageNet dataset. "
+            "e.g. --dataset imagenet-mini/val "
+            "for https://www.kaggle.com/datasets/ifigotin/imagenetmini-1000)"
+        ),
+        type=str,
+        required=True,
+    )
+
+    parser.add_argument(
+        "--weights",
+        type=str,
+        choices=["regnet_y_400mf", "regnet_x_400mf"],
+        help="Specify which regent weights/model to execute",
+        required=True,
+    )
+
+    args = parser.parse_args()
+    try:
+        main(args)
+    except Exception as e:
+        if args.ip and args.port != -1:
+            with Client((args.ip, args.port)) as conn:
+                conn.send(json.dumps({"Error": str(e)}))
+        else:
+            raise Exception(e)
diff --git a/examples/qualcomm/oss_scripts/squeezenet.py b/examples/qualcomm/oss_scripts/squeezenet.py
index bc000c6938..64b317068c 100644
--- a/examples/qualcomm/oss_scripts/squeezenet.py
+++ b/examples/qualcomm/oss_scripts/squeezenet.py
@@ -13,7 +13,7 @@
 
 import torch
 from executorch.backends.qualcomm.quantizer.quantizer import QuantDtype
-from executorch.examples.qualcomm.scripts.utils import (
+from executorch.examples.qualcomm.utils import (
     build_executorch_binary,
     make_output_dir,
     parse_skip_delegation_node,
@@ -92,12 +92,6 @@ def main(args):
     if args.compile_only:
         sys.exit(0)
 
-    # setup required paths accordingly
-    # qnn_sdk       : QNN SDK path setup in environment variable
-    # build_path : path where QNN delegate artifacts were built
-    # pte_path      : path where executorch binary was stored
-    # device_id     : serial number of android device
-    # workspace     : folder for storing artifacts on android device
     adb = SimpleADB(
         qnn_sdk=os.getenv("QNN_SDK_ROOT"),
         build_path=f"{args.build_folder}",
diff --git a/examples/qualcomm/oss_scripts/ssd300_vgg16.py b/examples/qualcomm/oss_scripts/ssd300_vgg16.py
index 8fdb896e09..a5db138233 100644
--- a/examples/qualcomm/oss_scripts/ssd300_vgg16.py
+++ b/examples/qualcomm/oss_scripts/ssd300_vgg16.py
@@ -14,7 +14,7 @@
 import torch
 
 from executorch.backends.qualcomm.quantizer.quantizer import QuantDtype
-from executorch.examples.qualcomm.scripts.utils import (
+from executorch.examples.qualcomm.utils import (
     build_executorch_binary,
     make_output_dir,
     parse_skip_delegation_node,
@@ -28,7 +28,6 @@ def create_data_lists(voc07_path, data_size):
     Create lists of images, the bounding boxes and labels of the objects in these images, and save these to file.
 
     :param voc07_path: path to the 'VOC2007' folder
-    :param output_folder: folder where the JSONs must be saved
     """
     from utils import parse_annotation
 
@@ -156,12 +155,6 @@ def main(args):
     if args.compile_only:
         sys.exit(0)
 
-    # setup required paths accordingly
-    # qnn_sdk       : QNN SDK path setup in environment variable
-    # build_path : path where QNN delegate artifacts were built
-    # pte_path      : path where executorch binary was stored
-    # device_id     : serial number of android device
-    # workspace     : folder for storing artifacts on android device
     adb = SimpleADB(
         qnn_sdk=os.getenv("QNN_SDK_ROOT"),
         build_path=f"{args.build_folder}",
diff --git a/examples/qualcomm/qaihub_scripts/llama/CMakeLists.txt b/examples/qualcomm/qaihub_scripts/llama/CMakeLists.txt
new file mode 100644
index 0000000000..6d28976a57
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/llama/CMakeLists.txt
@@ -0,0 +1,105 @@
+# Copyright (c) Qualcomm Innovation Center, Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# preprocess qaihub runner src files for llama2,3
+set(_qaihub_llama_runner__srcs ${_llama_runner__srcs})
+list(TRANSFORM _qaihub_llama_runner__srcs PREPEND "${EXECUTORCH_SOURCE_DIR}/")
+list(FILTER _qaihub_llama_runner__srcs EXCLUDE REGEX ".*(/runner/).*")
+list(
+  PREPEND
+  _qaihub_llama_runner__srcs
+  ${CMAKE_CURRENT_LIST_DIR}/runner/runner.cpp
+  ${CMAKE_CURRENT_LIST_DIR}/runner/runner.h
+  ${CMAKE_CURRENT_LIST_DIR}/runner/io_memory.cpp
+  ${CMAKE_CURRENT_LIST_DIR}/runner/io_memory.h
+)
+
+# preprocess qaihub llama2 7b runner src files
+set(_qaihub_llama2_7b_runner__srcs ${_qaihub_llama_runner__srcs})
+
+list(PREPEND _qaihub_llama2_7b_runner__srcs
+     ${CMAKE_CURRENT_LIST_DIR}/llama2/qaihub_llama2_7b_runner.cpp
+)
+
+# build qaihub llama2 7b runner
+add_executable(qaihub_llama2_7b_runner ${_qaihub_llama2_7b_runner__srcs})
+target_include_directories(
+  qaihub_llama2_7b_runner PUBLIC ${_common_include_directories}
+)
+target_link_libraries(
+  qaihub_llama2_7b_runner
+  qnn_executorch_backend
+  executorch_no_prim_ops
+  extension_data_loader
+  extension_module
+  extension_tensor
+  gflags
+  re2::re2
+)
+target_compile_options(
+  qaihub_llama2_7b_runner PUBLIC ${_common_compile_options}
+)
+set_target_properties(
+  qaihub_llama2_7b_runner PROPERTIES LINK_FLAGS "-Wl,-rpath='$ORIGIN'"
+)
+
+# preprocess qaihub llama3 8b runner src files
+set(_qaihub_llama3_8b_runner__srcs ${_qaihub_llama_runner__srcs})
+
+list(PREPEND _qaihub_llama3_8b_runner__srcs
+     ${CMAKE_CURRENT_LIST_DIR}/llama3/qaihub_llama3_8b_runner.cpp
+)
+
+# Adding a compile option to differentiate llama2 with llama3 logic
+list(APPEND _common_compile_options -DQAIHUB_LLAMA3_RUNNER)
+
+# find RE2 for tokenizer
+set(ABSL_ENABLE_INSTALL ON)
+set(ABSL_PROPAGATE_CXX_STD ON)
+set(_pic_flag ${CMAKE_POSITION_INDEPENDENT_CODE})
+set(CMAKE_POSITION_INDEPENDENT_CODE ON)
+add_subdirectory(
+  ${CMAKE_CURRENT_SOURCE_DIR}/../../../../extension/llm/third-party/abseil-cpp
+  ${CMAKE_CURRENT_BINARY_DIR}/abseil-cpp
+)
+add_subdirectory(
+  ${CMAKE_CURRENT_SOURCE_DIR}/../../../../extension/llm/third-party/re2
+  ${CMAKE_CURRENT_BINARY_DIR}/re2
+)
+set(CMAKE_POSITION_INDEPENDENT_CODE ${_pic_flag})
+
+list(
+  APPEND _qaihub_llama3_8b_runner__srcs
+  ${CMAKE_CURRENT_SOURCE_DIR}/../../../../extension/llm/tokenizer/tiktoken.cpp
+)
+list(
+  APPEND
+  _qaihub_llama3_8b_runner__srcs
+  ${CMAKE_CURRENT_SOURCE_DIR}/../../../models/llama2/tokenizer/llama_tiktoken.cpp
+)
+
+# build qaihub llama3 8b runner
+add_executable(qaihub_llama3_8b_runner ${_qaihub_llama3_8b_runner__srcs})
+target_include_directories(
+  qaihub_llama3_8b_runner PUBLIC ${_common_include_directories}
+)
+
+target_link_libraries(
+  qaihub_llama3_8b_runner
+  qnn_executorch_backend
+  executorch_no_prim_ops
+  extension_data_loader
+  extension_module
+  extension_tensor
+  gflags
+  re2::re2
+)
+target_compile_options(
+  qaihub_llama3_8b_runner PUBLIC ${_common_compile_options}
+)
+set_target_properties(
+  qaihub_llama3_8b_runner PROPERTIES LINK_FLAGS "-Wl,-rpath='$ORIGIN'"
+)
diff --git a/examples/qualcomm/qaihub_scripts/llama/README.md b/examples/qualcomm/qaihub_scripts/llama/README.md
new file mode 100644
index 0000000000..d49ca4cc94
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/llama/README.md
@@ -0,0 +1,52 @@
+# Summary
+
+## Overview
+This file provides you the instructions to run LLAMA2 and LLAMA3 with different parameters via Qualcomm HTP backend. Following settings support for Llama-2-7b-chat-hf and Llama-3-8b-chat-hf
+
+Please check corresponding section for more information.
+
+## Llama-2-7b-chat-hf
+This example demonstrates how to run Llama-2-7b-chat-hf on mobile via Qualcomm HTP backend. Model was precompiled into context binaries by [Qualcomm AI HUB](https://aihub.qualcomm.com/).
+Note that the pre-compiled context binaries could not be futher fine-tuned for other downstream tasks.
+
+### Instructions
+#### Step 1: Setup
+1. Follow the [tutorial](https://pytorch.org/executorch/main/getting-started-setup) to set up ExecuTorch.
+2. Follow the [tutorial](https://pytorch.org/executorch/stable/build-run-qualcomm-ai-engine-direct-backend.html) to build Qualcomm AI Engine Direct Backend.
+
+#### Step2: Prepare Model
+1. Create account for https://aihub.qualcomm.com/
+2. Follow instructions in https://huggingface.co/qualcomm/Llama-v2-7B-Chat to export context binaries (will take some time to finish)
+
+```bash
+# tokenizer.model: https://huggingface.co/meta-llama/Llama-2-7b-chat-hf/blob/main/tokenizer.model
+# tokenizer.bin:
+python -m examples.models.llama2.tokenizer.tokenizer -t tokenizer.model -o tokenizer.bin
+```
+
+#### Step3: Run default examples
+```bash
+# AIHUB_CONTEXT_BINARIES: ${PATH_TO_AIHUB_WORKSPACE}/build/llama_v2_7b_chat_quantized
+python examples/qualcomm/qaihub_scripts/llama/llama2/qaihub_llama2_7b.py -b build-android -s ${SERIAL_NUM} -m ${SOC_MODEL} --context_binaries ${AIHUB_CONTEXT_BINARIES} --tokenizer_bin tokenizer.bin --prompt "What is Python?"
+```
+
+## Llama-3-8b-chat-hf
+This example demonstrates how to run Llama-3-8b-chat-hf on mobile via Qualcomm HTP backend. Model was precompiled into context binaries by [Qualcomm AI HUB](https://aihub.qualcomm.com/).
+Note that the pre-compiled context binaries could not be futher fine-tuned for other downstream tasks. This example script has been tested on a 16GB RAM device and verified to work.
+
+### Instructions
+#### Step 1: Setup
+1. Follow the [tutorial](https://pytorch.org/executorch/main/getting-started-setup) to set up ExecuTorch.
+2. Follow the [tutorial](https://pytorch.org/executorch/stable/build-run-qualcomm-ai-engine-direct-backend.html) to build Qualcomm AI Engine Direct Backend.
+
+#### Step2: Prepare Model
+1. Create account for https://aihub.qualcomm.com/
+2. Follow instructions in https://huggingface.co/qualcomm/Llama-v3-8B-Chat to export context binaries (will take some time to finish)
+3. For Llama 3 tokenizer, please refer to https://github.com/meta-llama/llama-models/blob/main/README.md for further instructions on how to download tokenizer.model.
+
+
+#### Step3: Run default examples
+```bash
+# AIHUB_CONTEXT_BINARIES: ${PATH_TO_AIHUB_WORKSPACE}/build/llama_v3_8b_chat_quantized
+python examples/qualcomm/qaihub_scripts/llama/llama3/qaihub_llama3_8b.py -b build-android -s ${SERIAL_NUM} -m ${SOC_MODEL} --context_binaries ${AIHUB_CONTEXT_BINARIES} --tokenizer_model tokenizer.model --prompt "What is baseball?"
+```
\ No newline at end of file
diff --git a/examples/qualcomm/qaihub_scripts/llama/llama2/qaihub_llama2_7b.py b/examples/qualcomm/qaihub_scripts/llama/llama2/qaihub_llama2_7b.py
new file mode 100644
index 0000000000..c54b75a6b6
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/llama/llama2/qaihub_llama2_7b.py
@@ -0,0 +1,248 @@
+# Copyright (c) Qualcomm Innovation Center, Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import json
+import os
+from multiprocessing.connection import Client
+
+import executorch.backends.qualcomm.python.PyQnnManagerAdaptor as PyQnnManagerAdaptor
+import torch
+from executorch.backends.qualcomm.serialization.qnn_compile_spec_schema import (  # noqa: F401
+    QcomChipset,
+)
+from executorch.backends.qualcomm.utils.utils import (
+    from_context_binary,
+    generate_htp_compiler_spec,
+    generate_qnn_executorch_compiler_spec,
+    generate_qnn_executorch_option,
+)
+from executorch.examples.qualcomm.qaihub_scripts.utils.utils import (
+    gen_pte_from_ctx_bin,
+    get_encoding,
+)
+from executorch.examples.qualcomm.utils import (
+    setup_common_args_and_variables,
+    SimpleADB,
+)
+
+
+def main(args):
+    os.makedirs(args.artifact, exist_ok=True)
+
+    target_names = (
+        [
+            f"llama_v2_7b_chat_quantized_PromptProcessor_{i}_Quantized.bin"
+            for i in range(1, 5)
+        ]
+        if args.use_prompt_processor
+        else [
+            f"llama_v2_7b_chat_quantized_TokenGenerator_{i}_Quantized.bin"
+            for i in range(1, 5)
+        ]
+    )
+
+    # common part for compile & inference
+    backend_options = generate_htp_compiler_spec(
+        use_fp16=False,
+        use_multi_contexts=True,
+    )
+    compiler_specs = generate_qnn_executorch_compiler_spec(
+        soc_model=getattr(QcomChipset, args.model),
+        backend_options=backend_options,
+        is_from_context_binary=True,
+    )
+
+    if args.use_prompt_processor:
+        pte_name = "qaihub_llama2_7b_prompt"
+        last_shard_num_inputs = 4
+        last_shard_num_outputs = 513
+    else:
+        pte_name = "qaihub_llama2_7b_token"
+        last_shard_num_inputs = 516
+        last_shard_num_outputs = 513
+
+    if args.pre_gen_pte is None:
+        # create custom operators as context loader
+        bundle_programs = [
+            from_context_binary(f"{args.context_binaries}/{target}", f"ctx_loader_{i}")
+            for i, target in enumerate(target_names)
+        ]
+        pte_names = [f"{pte_name}_{i}" for i in range(len(target_names))]
+        pte_files = gen_pte_from_ctx_bin(
+            args.artifact, pte_names, compiler_specs, bundle_programs
+        )
+    else:
+        pte_files = [f"{args.pre_gen_pte}/{pte_name}_{i}.pte" for i in range(4)]
+
+    if args.compile_only:
+        return
+
+    def get_logit_encoding(path_to_last_shard: str):
+        with open(f"{args.context_binaries}/{path_to_last_shard}", "rb") as f:
+            ctx_bin = f.read()
+            qnn_mgr = PyQnnManagerAdaptor.QnnManager(
+                generate_qnn_executorch_option(compiler_specs), ctx_bin
+            )
+            assert qnn_mgr.Init().value == 0, "failed to load context binary"
+            qnn_mgr.AllocateTensor()
+            logits = qnn_mgr.GetGraphOutputs()[-1]
+            encoding = logits.GetEncodings()
+            qnn_mgr.Destroy()
+            return encoding.data["scale"].item(), encoding.data["offset"].item()
+
+    adb = SimpleADB(
+        qnn_sdk=os.getenv("QNN_SDK_ROOT"),
+        build_path=args.build_folder,
+        pte_path=pte_files,
+        workspace=f"/data/local/tmp/executorch/{pte_name}",
+        device_id=args.device,
+        host_id=args.host,
+        soc_model=args.model,
+        runner="examples/qualcomm/qaihub_scripts/llama/qaihub_llama2_7b_runner",
+    )
+    output_file = "result.txt"
+    pos_embs_file = ["freq_cos", "freq_sin"]
+    encoding = get_encoding(
+        path_to_shard=f"{args.context_binaries}/{target_names[-1]}",
+        compiler_specs=compiler_specs,
+        get_input=False,
+        get_output=True,
+        num_input=last_shard_num_inputs,
+        num_output=last_shard_num_outputs,
+    )[0]
+    scale = encoding["scale"][-1]
+    offset = encoding["offset"][-1]
+    outputs = []
+    runner_args = [
+        *[
+            f"--sharded_{i+1}_path {os.path.basename(pte_file)}"
+            for i, pte_file in enumerate(pte_files)
+        ],
+        *[f"--{fname}_path {fname}.raw" for fname in pos_embs_file],
+        f"--output_path {adb.output_folder}/{output_file}",
+        f"--tokenizer_path {os.path.basename(args.tokenizer_bin)}",
+        f"--prompt '{args.prompt}'",
+        f"--temperature {args.temperature}",
+        f"--seq_len {args.seq_len}",
+        f"--eval_mode {0 if args.use_prompt_processor else 1}",
+        f"--logits_scale {scale}",
+        f"--logits_offset {-offset}",
+    ]
+    runner_cmds = " ".join(
+        [
+            f"cd {adb.workspace} &&",
+            f"./qaihub_llama2_7b_runner {' '.join(runner_args)}",
+        ]
+    )
+
+    def compute_pos_embedding():
+        head_dim, max_seq_len, theta = 128, 1024, 10000.0
+        base = torch.arange(0, head_dim, 2)
+        freqs = 1.0 / (theta ** (base[: (head_dim // 2)].float() / head_dim))
+        t = torch.arange(max_seq_len * 2)
+        freqs = torch.outer(t, freqs).float()
+        freqs_cis = torch.polar(torch.ones_like(freqs), freqs)
+        freqs_cis = freqs_cis[0:max_seq_len]
+        freqs_real = torch.view_as_real(freqs_cis)
+        return freqs_real[:, :, 0], freqs_real[:, :, 1]
+
+    def post_process():
+        with open(f"{args.artifact}/outputs/{output_file}", "r") as f:
+            outputs.append(f.read())
+
+    custom_files = [args.tokenizer_bin]
+    for var_name, freq in zip(pos_embs_file, compute_pos_embedding()):
+        custom_files.append(f"{adb.working_dir}/{var_name}.raw")
+        scale, offset = (freq.max() - freq.min()) / 65535, 32768
+        freq = (freq / scale + offset).clip(min=0, max=65535).detach()
+        freq.to(dtype=torch.uint16).numpy().tofile(custom_files[-1])
+
+    if not args.skip_push:
+        adb.push(files=custom_files)
+    adb.execute(custom_runner_cmd=runner_cmds)
+    adb.pull(args.artifact, callback=post_process)
+    if args.ip and args.port != -1:
+        with Client((args.ip, args.port)) as conn:
+            conn.send(
+                json.dumps(
+                    {
+                        "result": outputs[0],
+                    }
+                )
+            )
+    else:
+        print(outputs[0])
+
+
+if __name__ == "__main__":
+    parser = setup_common_args_and_variables()
+
+    parser.add_argument(
+        "-a",
+        "--artifact",
+        help="path for storing generated artifacts by this example. Default ./llama2_qai_hub",
+        default="./llama2_qai_hub",
+        type=str,
+    )
+
+    parser.add_argument(
+        "--context_binaries",
+        help="path to context binaries generated from qai_hub",
+        required=True,
+    )
+
+    parser.add_argument(
+        "--use_prompt_processor",
+        help="tokens will be evaluated all at once",
+        default=False,
+        action="store_true",
+    )
+
+    parser.add_argument(
+        "--tokenizer_bin",
+        help="llama2 tokenizer binary",
+        required=True,
+        type=str,
+    )
+
+    parser.add_argument(
+        "--seq_len",
+        help="ouput sequence length for llama2",
+        default=128,
+        type=int,
+    )
+
+    parser.add_argument(
+        "--temperature",
+        help="sampling temperature for llama2",
+        default=0.0,
+        type=float,
+    )
+
+    parser.add_argument(
+        "--prompt",
+        help="user prompts for llama2",
+        required=True,
+        type=str,
+    )
+
+    parser.add_argument(
+        "--pre_gen_pte",
+        help="folder path to pre-compiled ptes",
+        default=None,
+        type=str,
+    )
+
+    args = parser.parse_args()
+
+    try:
+        main(args)
+    except Exception as e:
+        if args.ip and args.port != -1:
+            with Client((args.ip, args.port)) as conn:
+                conn.send(json.dumps({"Error": str(e)}))
+        else:
+            raise Exception(e)
diff --git a/examples/qualcomm/qaihub_scripts/llama/llama2/qaihub_llama2_7b_runner.cpp b/examples/qualcomm/qaihub_scripts/llama/llama2/qaihub_llama2_7b_runner.cpp
new file mode 100644
index 0000000000..3de97cde7e
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/llama/llama2/qaihub_llama2_7b_runner.cpp
@@ -0,0 +1,81 @@
+/*
+ * Copyright (c) Qualcomm Innovation Center, Inc.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+/**
+ * @file
+ *
+ * This tool can run Llama2 7b with Qualcomm AI Engine Direct.
+ *
+ * User could specify arguments like desired prompt, eval_mode, etc.
+ */
+
+#include <executorch/backends/qualcomm/runtime/QnnExecuTorch.h>
+#include <executorch/examples/qualcomm/qaihub_scripts/llama/runner/runner.h>
+#include <executorch/runtime/platform/log.h>
+
+#include <gflags/gflags.h>
+
+#include <fstream>
+
+DEFINE_string(sharded_1_path, "", "Path to 1st sharded pte file");
+DEFINE_string(sharded_2_path, "", "Path to 2nd sharded pte file");
+DEFINE_string(sharded_3_path, "", "Path to 3rd sharded pte file");
+DEFINE_string(sharded_4_path, "", "Path to 4th sharded pte file");
+
+DEFINE_string(freq_cos_path, "", "Path to precomputed position embeddings");
+DEFINE_string(freq_sin_path, "", "Path to precomputed position embeddings");
+
+DEFINE_string(output_path, "outputs", "Executorch inference data output path.");
+DEFINE_string(tokenizer_path, "tokenizer.bin", "Tokenizer stuff.");
+DEFINE_string(prompt, "The answer to the ultimate question is", "Prompt.");
+DEFINE_double(
+    temperature,
+    0.0f,
+    "Temperature; Default is 0.0f. 0 = greedy argmax sampling (deterministic). Lower temperature = more deterministic");
+DEFINE_int32(
+    eval_mode,
+    0,
+    "0: PromptProcessor / 1: TokenGenerator / 2: MixedMode (TBD)");
+DEFINE_int32(
+    seq_len,
+    128,
+    "Total number of tokens to generate (prompt + output). Defaults to max_seq_len. If the number of input tokens + seq_len > max_seq_len, the output will be truncated to max_seq_len tokens.");
+DEFINE_double(logits_scale, 0.0, "Path to logits scale file");
+DEFINE_int32(logits_offset, 0, "Path to logits offset file");
+
+int main(int argc, char** argv) {
+  gflags::ParseCommandLineFlags(&argc, &argv, true);
+
+  std::vector<std::string> models_path = {
+      FLAGS_sharded_1_path,
+      FLAGS_sharded_2_path,
+      FLAGS_sharded_3_path,
+      FLAGS_sharded_4_path};
+  std::vector<std::string> pos_embs_path = {
+      FLAGS_freq_cos_path, FLAGS_freq_sin_path};
+
+  // create llama runner
+  example::Runner runner(
+      models_path,
+      pos_embs_path,
+      {8, 8, 8, 8},
+      FLAGS_tokenizer_path.c_str(),
+      FLAGS_eval_mode,
+      FLAGS_temperature,
+      FLAGS_logits_scale,
+      FLAGS_logits_offset);
+
+  // generate tokens & store inference output
+  std::ofstream fout(FLAGS_output_path.c_str());
+  runner.generate(
+      FLAGS_prompt, "", FLAGS_seq_len, [&](const std::string& piece) {
+        fout << piece;
+      });
+  fout.close();
+  return 0;
+}
diff --git a/examples/qualcomm/qaihub_scripts/llama/llama3/qaihub_llama3_8b.py b/examples/qualcomm/qaihub_scripts/llama/llama3/qaihub_llama3_8b.py
new file mode 100644
index 0000000000..9acbeebef2
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/llama/llama3/qaihub_llama3_8b.py
@@ -0,0 +1,245 @@
+# Copyright (c) Qualcomm Innovation Center, Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import json
+import os
+from multiprocessing.connection import Client
+
+import torch
+from executorch.backends.qualcomm.serialization.qnn_compile_spec_schema import (  # noqa: F401
+    QcomChipset,
+)
+
+from executorch.backends.qualcomm.utils.utils import (
+    from_context_binary,
+    generate_htp_compiler_spec,
+    generate_qnn_executorch_compiler_spec,
+)
+from executorch.examples.qualcomm.qaihub_scripts.utils.utils import (
+    gen_pte_from_ctx_bin,
+    get_encoding,
+)
+from executorch.examples.qualcomm.utils import (
+    setup_common_args_and_variables,
+    SimpleADB,
+)
+
+
+def main(args):
+    os.makedirs(args.artifact, exist_ok=True)
+
+    target_names = (
+        [
+            f"llama_v3_8b_chat_quantized_PromptProcessor_{i}_Quantized.bin"
+            for i in range(1, 6)
+        ]
+        if args.use_prompt_processor
+        else [
+            f"llama_v3_8b_chat_quantized_TokenGenerator_{i}_Quantized.bin"
+            for i in range(1, 6)
+        ]
+    )
+
+    # common part for compile & inference
+    backend_options = generate_htp_compiler_spec(
+        use_fp16=False,
+        use_multi_contexts=True,
+    )
+    compiler_specs = generate_qnn_executorch_compiler_spec(
+        soc_model=getattr(QcomChipset, args.model),
+        backend_options=backend_options,
+        is_from_context_binary=True,
+    )
+
+    if args.use_prompt_processor:
+        pte_name = "qaihub_llama3_8b_prompt"
+        last_shard_num_inputs = 4
+        last_shard_num_outputs = 65
+        custom_spill_fill = 128974848
+    else:
+        pte_name = "qaihub_llama3_8b_token"
+        last_shard_num_inputs = 68
+        last_shard_num_outputs = 65
+        custom_spill_fill = 3932160
+
+    if args.pre_gen_pte is None:
+        # create custom operators as context loader
+        bundle_programs = [
+            from_context_binary(f"{args.context_binaries}/{target}", f"ctx_loader_{i}")
+            for i, target in enumerate(target_names)
+        ]
+        pte_names = [f"{pte_name}_{i}" for i in range(len(target_names))]
+        pte_files = gen_pte_from_ctx_bin(
+            args.artifact, pte_names, compiler_specs, bundle_programs, custom_spill_fill
+        )
+    else:
+        pte_files = [f"{args.pre_gen_pte}/{pte_name}_{i}.pte" for i in range(5)]
+
+    if args.compile_only:
+        return
+
+    adb = SimpleADB(
+        qnn_sdk=os.getenv("QNN_SDK_ROOT"),
+        build_path=args.build_folder,
+        pte_path=pte_files,
+        workspace=f"/data/local/tmp/executorch/{pte_name}",
+        device_id=args.device,
+        host_id=args.host,
+        soc_model=args.model,
+        runner="examples/qualcomm/qaihub_scripts/llama/qaihub_llama3_8b_runner",
+    )
+    output_file = "result.txt"
+    pos_embs_file = ["freq_cos", "freq_sin"]
+
+    encoding = get_encoding(
+        path_to_shard=f"{args.context_binaries}/{target_names[-1]}",
+        compiler_specs=compiler_specs,
+        get_input=False,
+        get_output=True,
+        num_input=last_shard_num_inputs,
+        num_output=last_shard_num_outputs,
+    )[0]
+    scale = encoding["scale"][-1]
+    offset = encoding["offset"][-1]
+    outputs = []
+    runner_args = [
+        *[
+            f"--sharded_{i+1}_path {os.path.basename(pte_file)}"
+            for i, pte_file in enumerate(pte_files)
+        ],
+        *[f"--{fname}_path {fname}.raw" for fname in pos_embs_file],
+        f"--output_path {adb.output_folder}/{output_file}",
+        f"--tokenizer_path {os.path.basename(args.tokenizer_model)}",
+        f"--prompt '{args.prompt}'",
+        f"--temperature {args.temperature}",
+        f"--seq_len {args.seq_len}",
+        f"--eval_mode {0 if args.use_prompt_processor else 1}",
+        f"--logits_scale {scale}",
+        f"--logits_offset {-offset}",
+        f"--system_prompt '{args.system_prompt}'",
+    ]
+    runner_cmds = " ".join(
+        [
+            f"cd {adb.workspace} &&",
+            f"./qaihub_llama3_8b_runner {' '.join(runner_args)}",
+        ]
+    )
+
+    def compute_pos_embedding():
+        head_dim, max_seq_len, theta = 128, 1024, 10000.0
+        base = torch.arange(0, head_dim, 2)
+        freqs = 1.0 / (theta ** (base[: (head_dim // 2)].float() / head_dim))
+        t = torch.arange(max_seq_len * 2)
+        freqs = torch.outer(t, freqs).float()
+        freqs_cis = torch.polar(torch.ones_like(freqs), freqs)
+        freqs_cis = freqs_cis[0:max_seq_len]
+        freqs_real = torch.view_as_real(freqs_cis)
+        return freqs_real[:, :, 0], freqs_real[:, :, 1]
+
+    def post_process():
+        with open(f"{args.artifact}/outputs/{output_file}", "r") as f:
+            outputs.append(f.read())
+
+    custom_files = [args.tokenizer_model]
+    for var_name, freq in zip(pos_embs_file, compute_pos_embedding()):
+        custom_files.append(f"{adb.working_dir}/{var_name}.raw")
+        scale, offset = (freq.max() - freq.min()) / 65535, 32768
+        freq = (freq / scale + offset).clip(min=0, max=65535).detach()
+        freq.to(dtype=torch.uint16).numpy().tofile(custom_files[-1])
+
+    if not args.skip_push:
+        adb.push(files=custom_files)
+    adb.execute(custom_runner_cmd=runner_cmds)
+    adb.pull(args.artifact, callback=post_process)
+    if args.ip and args.port != -1:
+        with Client((args.ip, args.port)) as conn:
+            conn.send(
+                json.dumps(
+                    {
+                        "result": outputs[0],
+                    }
+                )
+            )
+    else:
+        print(outputs[0])
+
+
+if __name__ == "__main__":
+    parser = setup_common_args_and_variables()
+
+    parser.add_argument(
+        "-a",
+        "--artifact",
+        help="path for storing generated artifacts by this example. Default ./llama3_qai_hub",
+        default="./llama3_qai_hub",
+        type=str,
+    )
+
+    parser.add_argument(
+        "--context_binaries",
+        help="path to context binaries generated from qai_hub",
+        required=True,
+    )
+
+    parser.add_argument(
+        "--use_prompt_processor",
+        help="tokens will be evaluated all at once",
+        default=False,
+        action="store_true",
+    )
+
+    parser.add_argument(
+        "--tokenizer_model",
+        help="llama3 tokenizer model",
+        required=True,
+        type=str,
+    )
+
+    parser.add_argument(
+        "--seq_len",
+        help="ouput sequence length for llama3",
+        default=128,
+        type=int,
+    )
+
+    parser.add_argument(
+        "--temperature",
+        help="sampling temperature for llama3",
+        default=0.0,
+        type=float,
+    )
+
+    parser.add_argument(
+        "--prompt",
+        help="user prompts for llama3",
+        required=True,
+        type=str,
+    )
+
+    parser.add_argument(
+        "--system_prompt",
+        help="Tells the model what kind of assistant it should be. For example, You are a helpful AI assistant for travel tips and recommendations. Default is None",
+        default="",
+        type=str,
+    )
+
+    parser.add_argument(
+        "--pre_gen_pte",
+        help="folder path to pre-compiled ptes",
+        default=None,
+        type=str,
+    )
+
+    args = parser.parse_args()
+
+    try:
+        main(args)
+    except Exception as e:
+        if args.ip and args.port != -1:
+            with Client((args.ip, args.port)) as conn:
+                conn.send(json.dumps({"Error": str(e)}))
+        else:
+            raise Exception(e)
diff --git a/examples/qualcomm/qaihub_scripts/llama/llama3/qaihub_llama3_8b_runner.cpp b/examples/qualcomm/qaihub_scripts/llama/llama3/qaihub_llama3_8b_runner.cpp
new file mode 100644
index 0000000000..7591b7ae1e
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/llama/llama3/qaihub_llama3_8b_runner.cpp
@@ -0,0 +1,88 @@
+/*
+ * Copyright (c) Qualcomm Innovation Center, Inc.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+/**
+ * @file
+ *
+ * This tool can run Llama3 8b with Qualcomm AI Engine Direct.
+ *
+ * User could specify arguments like desired prompt, eval_mode, etc.
+ */
+
+#include <executorch/backends/qualcomm/runtime/QnnExecuTorch.h>
+#include <executorch/examples/qualcomm/qaihub_scripts/llama/runner/runner.h>
+#include <executorch/runtime/platform/log.h>
+
+#include <gflags/gflags.h>
+
+#include <fstream>
+
+DEFINE_string(sharded_1_path, "", "Path to 1st sharded pte file");
+DEFINE_string(sharded_2_path, "", "Path to 2nd sharded pte file");
+DEFINE_string(sharded_3_path, "", "Path to 3rd sharded pte file");
+DEFINE_string(sharded_4_path, "", "Path to 4th sharded pte file");
+DEFINE_string(sharded_5_path, "", "Path to 5th sharded pte file");
+
+DEFINE_string(freq_cos_path, "", "Path to precomputed position embeddings");
+DEFINE_string(freq_sin_path, "", "Path to precomputed position embeddings");
+
+DEFINE_string(output_path, "outputs", "Executorch inference data output path.");
+DEFINE_string(tokenizer_path, "tokenizer.bin", "Tokenizer stuff.");
+DEFINE_string(prompt, "The answer to the ultimate question is", "Prompt.");
+DEFINE_string(
+    system_prompt,
+    "",
+    "Tells the model what kind of assistant it should be. For example, You are a helpful AI assistant for travel tips and recommendations. Default is None");
+DEFINE_double(
+    temperature,
+    0.0f,
+    "Temperature; Default is 0.0f. 0 = greedy argmax sampling (deterministic). Lower temperature = more deterministic");
+DEFINE_int32(
+    eval_mode,
+    0,
+    "0: PromptProcessor / 1: TokenGenerator / 2: MixedMode (TBD)");
+DEFINE_int32(
+    seq_len,
+    128,
+    "Total number of tokens to generate (prompt + output). Defaults to max_seq_len. If the number of input tokens + seq_len > max_seq_len, the output will be truncated to max_seq_len tokens.");
+DEFINE_double(logits_scale, 0.0, "Path to logits scale file");
+DEFINE_int32(logits_offset, 0, "Path to logits offset file");
+
+int main(int argc, char** argv) {
+  gflags::ParseCommandLineFlags(&argc, &argv, true);
+
+  std::vector<std::string> models_path = {
+      FLAGS_sharded_1_path,
+      FLAGS_sharded_2_path,
+      FLAGS_sharded_3_path,
+      FLAGS_sharded_4_path,
+      FLAGS_sharded_5_path};
+  std::vector<std::string> pos_embs_path = {
+      FLAGS_freq_cos_path, FLAGS_freq_sin_path};
+
+  // create llama runner
+  example::Runner runner(
+      models_path,
+      pos_embs_path,
+      {4, 8, 8, 8, 4},
+      FLAGS_tokenizer_path.c_str(),
+      FLAGS_eval_mode,
+      FLAGS_temperature,
+      FLAGS_logits_scale,
+      FLAGS_logits_offset);
+
+  // generate tokens & store inference output
+  std::ofstream fout(FLAGS_output_path.c_str());
+  runner.generate(
+      FLAGS_prompt,
+      FLAGS_system_prompt,
+      FLAGS_seq_len,
+      [&](const std::string& piece) { fout << piece; });
+  fout.close();
+  return 0;
+}
diff --git a/examples/qualcomm/qaihub_scripts/llama/runner/io_memory.cpp b/examples/qualcomm/qaihub_scripts/llama/runner/io_memory.cpp
new file mode 100644
index 0000000000..9dc1ee7e25
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/llama/runner/io_memory.cpp
@@ -0,0 +1,531 @@
+/*
+ * Copyright (c) Qualcomm Innovation Center, Inc.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <algorithm>
+#include <fstream>
+
+#include <executorch/examples/qualcomm/qaihub_scripts/llama/runner/io_memory.h>
+#include <executorch/runtime/core/exec_aten/util/tensor_util.h>
+
+using executorch::aten::Tensor;
+using executorch::aten::TensorImpl;
+using executorch::extension::Module;
+using executorch::runtime::Error;
+using executorch::runtime::MethodMeta;
+using executorch::runtime::Result;
+using executorch::runtime::TensorInfo;
+
+namespace example {
+
+Memory::Memory(
+    const std::vector<std::string>& pos_embs_path,
+    std::vector<std::shared_ptr<Module>>& modules)
+    : data_ptr_(nullptr, [](void*) {}),
+      input_tensors_(modules.size()),
+      output_tensors_(modules.size()),
+      pos_embs_path_(pos_embs_path),
+      modules_(modules) {}
+
+Memory::~Memory() {}
+
+void* Memory::get_mutable_ptr() {
+  return data_ptr_.get();
+}
+
+std::vector<Tensor> Memory::get_input_tensors(int shard_index) {
+  std::vector<Tensor> ret;
+  ret.reserve(input_tensors_.size());
+  for (TensorImpl* impl : input_tensors_[shard_index]) {
+    ret.emplace_back(Tensor(impl));
+  }
+  return ret;
+}
+
+std::vector<Tensor> Memory::get_output_tensors(int shard_index) {
+  std::vector<Tensor> ret;
+  ret.reserve(output_tensors_.size());
+  for (TensorImpl* impl : output_tensors_[shard_index]) {
+    ret.emplace_back(Tensor(impl));
+  }
+  return ret;
+}
+
+BertMemory::BertMemory(
+    const std::vector<std::string>& pos_embs_path,
+    std::vector<std::shared_ptr<Module>>& modules,
+    std::vector<int> shard_layers)
+    : Memory(pos_embs_path, modules),
+      shard_layers_(shard_layers),
+      num_heads_(QAIHUB_LLAMA_NUM_HEADS) {
+  data_ptr_ = std::unique_ptr<void, void (*)(void*)>(
+      new IO, [](void* ptr) { delete static_cast<IO*>(ptr); });
+}
+
+void BertMemory::prepare_io(
+    const std::vector<Result<MethodMeta>>& methods_meta) {
+  IO* ptr = static_cast<IO*>(data_ptr_.get());
+  std::memset(ptr, 0, sizeof(IO));
+
+  for (int i = 0; i < modules_.size(); ++i) {
+    ET_CHECK_MSG(
+        methods_meta[i].ok(),
+        "Failed to get method_meta 0x%x",
+        static_cast<uint32_t>(methods_meta[i].error()));
+  }
+  // [I] position embedding initialization
+  for (size_t i = 0; i < pos_embs_path_.size(); ++i) {
+    std::ifstream fin(pos_embs_path_[i], std::ios::binary);
+    fin.read(
+        reinterpret_cast<char*>(
+            i == 0 ? ptr->position_ids_cos : ptr->position_ids_sin),
+        1024 * 64 * 2);
+    fin.close();
+  }
+  // [I]: all shards (4 shards for llama2, 5 shards for llama)
+  {
+    // [I]: input_ids
+    Result<TensorInfo> input_ids = methods_meta[0]->input_tensor_meta(0);
+    input_ids_ = std::make_unique<TensorImpl>(
+        input_ids->scalar_type(),
+        input_ids->sizes().size(),
+        const_cast<TensorImpl::SizesType*>(input_ids->sizes().data()),
+        ptr->input_ids,
+        const_cast<TensorImpl::DimOrderType*>(input_ids->dim_order().data()));
+    input_tensors_[0].push_back(input_ids_.get());
+    // [I]: atten_mask
+    Result<TensorInfo> atten_mask = methods_meta[0]->input_tensor_meta(1);
+    attention_mask_ = std::make_unique<TensorImpl>(
+        atten_mask->scalar_type(),
+        atten_mask->sizes().size(),
+        const_cast<TensorImpl::SizesType*>(atten_mask->sizes().data()),
+        ptr->attention_mask,
+        const_cast<TensorImpl::DimOrderType*>(atten_mask->dim_order().data()));
+    input_tensors_[0].push_back(attention_mask_.get());
+    // [I]: pos_ids_cos
+    Result<TensorInfo> pos_ids_cos = methods_meta[0]->input_tensor_meta(2);
+    position_ids_cos_ = std::make_unique<TensorImpl>(
+        pos_ids_cos->scalar_type(),
+        pos_ids_cos->sizes().size(),
+        const_cast<TensorImpl::SizesType*>(pos_ids_cos->sizes().data()),
+        ptr->position_ids_cos,
+        const_cast<TensorImpl::DimOrderType*>(pos_ids_cos->dim_order().data()));
+    input_tensors_[0].push_back(position_ids_cos_.get());
+    // [I]: pos_ids_sin
+    Result<TensorInfo> pos_ids_sin = methods_meta[0]->input_tensor_meta(3);
+    position_ids_sin_ = std::make_unique<TensorImpl>(
+        pos_ids_sin->scalar_type(),
+        pos_ids_sin->sizes().size(),
+        const_cast<TensorImpl::SizesType*>(pos_ids_sin->sizes().data()),
+        ptr->position_ids_sin,
+        const_cast<TensorImpl::DimOrderType*>(pos_ids_sin->dim_order().data()));
+    input_tensors_[0].push_back(position_ids_sin_.get());
+    // [IO]: hidden_state => [I] shard2,3,4
+    int output_index =
+        shard_layers_[0] * 2 * num_heads_; // layers*(k + v caches)*heads
+    Result<TensorInfo> hidden_state =
+        methods_meta[0]->output_tensor_meta(output_index);
+    hidden_state_ = std::make_unique<TensorImpl>(
+        hidden_state->scalar_type(),
+        hidden_state->sizes().size(),
+        const_cast<TensorImpl::SizesType*>(hidden_state->sizes().data()),
+        ptr->hidden_state,
+        const_cast<TensorImpl::DimOrderType*>(
+            hidden_state->dim_order().data()));
+    // reuse inputs for following tensors
+    for (int shard_index = 1; shard_index < modules_.size(); ++shard_index) {
+      // inputs of shards 1 to n: hidden_state, atten_mask, pos_ids_cos,
+      // pos_ids_sin
+      input_tensors_[shard_index].push_back(hidden_state_.get());
+      input_tensors_[shard_index].push_back(attention_mask_.get());
+      input_tensors_[shard_index].push_back(position_ids_cos_.get());
+      input_tensors_[shard_index].push_back(position_ids_sin_.get());
+    }
+  }
+  // [O] kv_cache for all shards (4 shards for llama2 and 5 shards for llama3)
+  for (int offset = 0, shard_index = 0; shard_index < modules_.size();
+       offset += shard_layers_[shard_index], shard_index++) {
+    for (int layer = 0; layer < shard_layers_[shard_index]; ++layer) {
+      for (int cache_group = 0; cache_group < 2; ++cache_group) {
+        for (int head = 0; head < num_heads_; ++head) {
+          int index = num_heads_ * 2 * layer + cache_group * num_heads_ + head;
+          Result<TensorInfo> kv_cache =
+              methods_meta[shard_index]->output_tensor_meta(index);
+          std::vector<std::unique_ptr<TensorImpl>>& cache =
+              (cache_group == 0 ? v_cache_ : k_cache_);
+          cache.emplace_back(std::make_unique<TensorImpl>(
+              kv_cache->scalar_type(),
+              kv_cache->sizes().size(),
+              const_cast<TensorImpl::SizesType*>(kv_cache->sizes().data()),
+              cache_group == 0 ? ptr->v_cache[layer + offset][head]
+                               : ptr->k_cache[layer + offset][head],
+              const_cast<TensorImpl::DimOrderType*>(
+                  kv_cache->dim_order().data())));
+          output_tensors_[shard_index].push_back(cache.back().get());
+        }
+      }
+    }
+  }
+  // [O]: hidden_state for shard 0 to n-1
+  for (int shard_index = 0; shard_index < modules_.size() - 1; ++shard_index) {
+    output_tensors_[shard_index].push_back(hidden_state_.get());
+  }
+  // [O]: logits
+  {
+    int output_index = shard_layers_[modules_.size() - 1] * 2 *
+        num_heads_; // layers*(k + v caches)*heads
+    Result<TensorInfo> logits =
+        methods_meta[modules_.size() - 1]->output_tensor_meta(output_index);
+    logits_ = std::make_unique<TensorImpl>(
+        logits->scalar_type(),
+        logits->sizes().size(),
+        const_cast<TensorImpl::SizesType*>(logits->sizes().data()),
+        ptr->logits,
+        const_cast<TensorImpl::DimOrderType*>(logits->dim_order().data()));
+    output_tensors_[modules_.size() - 1].push_back(logits_.get());
+  }
+}
+
+void BertMemory::update_io(
+    int64_t cur_token,
+    int64_t pos,
+    std::vector<std::vector<Tensor>>& output_tensors) {
+  (void)output_tensors;
+  IO* ptr = static_cast<IO*>(data_ptr_.get());
+  static int num_tokens_generated = 0;
+  int seq_len = 1024, last_index = seq_len - 1;
+  // refill past token ids, which is equivalent to following snippet:
+  // --->
+  // for (int i = 0; i < last_index; ++i) {
+  //   ptr->input_ids[i] = ptr->input_ids[i + 1];
+  // }
+  // ptr->input_ids[last_index] = static_cast<int32_t>(cur_token);
+  // <---
+  int32_t* new_addr = ++num_tokens_generated + ptr->input_ids;
+  new_addr[last_index] = static_cast<int32_t>(cur_token);
+  input_ids_->set_data(new_addr);
+  // update causal mask for next token
+  int tokens = pos + 1, start = last_index - tokens;
+  for (int i = last_index; tokens >= 0; --i, --tokens) {
+    ptr->attention_mask[i * seq_len + start] = 65535;
+  }
+}
+
+KVCachedMemory::KVCachedMemory(
+    const std::vector<std::string>& pos_embs_path,
+    std::vector<std::shared_ptr<Module>>& modules,
+    std::vector<int> shard_layers)
+    : Memory(pos_embs_path, modules),
+      shard_layers_(shard_layers),
+      num_heads_(QAIHUB_LLAMA_NUM_HEADS) {
+  data_ptr_ = std::unique_ptr<void, void (*)(void*)>(
+      new IO, [](void* ptr) { delete static_cast<IO*>(ptr); });
+  if (num_heads_ == 32) {
+    futures_ = std::vector<std::future<void>>(thread_pool_.num_workers());
+  }
+}
+
+void KVCachedMemory::prepare_io(
+    const std::vector<Result<MethodMeta>>& methods_meta) {
+  IO* ptr = static_cast<IO*>(data_ptr_.get());
+  std::memset(ptr, 0, sizeof(IO));
+  for (int i = 0; i < modules_.size(); ++i) {
+    ET_CHECK_MSG(
+        methods_meta[i].ok(),
+        "Failed to get method_meta 0x%x",
+        static_cast<uint32_t>(methods_meta[i].error()));
+  }
+  // [I] position embedding initialization
+  for (size_t i = 0; i < pos_embs_path_.size(); ++i) {
+    std::ifstream fin(pos_embs_path_[i], std::ios::binary);
+    fin.read(
+        reinterpret_cast<char*>(
+            i == 0 ? ptr->position_ids_cos : ptr->position_ids_sin),
+        1024 * 64 * 2);
+    fin.close();
+  }
+  // [I]: all shards (4 shards for llama2, 5 shards for llama)
+  {
+    // [I]: input_ids
+    Result<TensorInfo> input_ids = methods_meta[0]->input_tensor_meta(0);
+    input_ids_ = std::make_unique<TensorImpl>(
+        input_ids->scalar_type(),
+        input_ids->sizes().size(),
+        const_cast<TensorImpl::SizesType*>(input_ids->sizes().data()),
+        &ptr->input_ids,
+        const_cast<TensorImpl::DimOrderType*>(input_ids->dim_order().data()));
+    input_tensors_[0].push_back(input_ids_.get());
+    // [I]: atten_mask
+    Result<TensorInfo> atten_mask = methods_meta[0]->input_tensor_meta(1);
+    attention_mask_ = std::make_unique<TensorImpl>(
+        atten_mask->scalar_type(),
+        atten_mask->sizes().size(),
+        const_cast<TensorImpl::SizesType*>(atten_mask->sizes().data()),
+        ptr->attention_mask,
+        const_cast<TensorImpl::DimOrderType*>(atten_mask->dim_order().data()));
+    input_tensors_[0].push_back(attention_mask_.get());
+    // [I]: pos_ids_cos
+    Result<TensorInfo> pos_ids_cos = methods_meta[0]->input_tensor_meta(2);
+    position_ids_cos_ = std::make_unique<TensorImpl>(
+        pos_ids_cos->scalar_type(),
+        pos_ids_cos->sizes().size(),
+        const_cast<TensorImpl::SizesType*>(pos_ids_cos->sizes().data()),
+        ptr->position_ids_cos,
+        const_cast<TensorImpl::DimOrderType*>(pos_ids_cos->dim_order().data()));
+    input_tensors_[0].push_back(position_ids_cos_.get());
+    // [I]: pos_ids_sin
+    Result<TensorInfo> pos_ids_sin = methods_meta[0]->input_tensor_meta(3);
+    position_ids_sin_ = std::make_unique<TensorImpl>(
+        pos_ids_sin->scalar_type(),
+        pos_ids_sin->sizes().size(),
+        const_cast<TensorImpl::SizesType*>(pos_ids_sin->sizes().data()),
+        ptr->position_ids_sin,
+        const_cast<TensorImpl::DimOrderType*>(pos_ids_sin->dim_order().data()));
+    input_tensors_[0].push_back(position_ids_sin_.get());
+    // [IO]: hidden_state => [I] shard2,3,4
+    int output_index =
+        shard_layers_[0] * 2 * num_heads_; // layers*(k + v caches)*heads
+    Result<TensorInfo> hidden_state =
+        methods_meta[0]->output_tensor_meta(output_index);
+    hidden_state_ = std::make_unique<TensorImpl>(
+        hidden_state->scalar_type(),
+        hidden_state->sizes().size(),
+        const_cast<TensorImpl::SizesType*>(hidden_state->sizes().data()),
+        ptr->hidden_state,
+        const_cast<TensorImpl::DimOrderType*>(
+            hidden_state->dim_order().data()));
+    // reuse inputs for following tensors
+    for (int shard_index = 1; shard_index < modules_.size(); ++shard_index) {
+      // inputs of shards 1 to n: hidden_state, atten_mask, pos_ids_cos,
+      // pos_ids_sin
+      input_tensors_[shard_index].push_back(hidden_state_.get());
+      input_tensors_[shard_index].push_back(attention_mask_.get());
+      input_tensors_[shard_index].push_back(position_ids_cos_.get());
+      input_tensors_[shard_index].push_back(position_ids_sin_.get());
+    }
+  }
+  // [I] kv_cache for all shards (4 shards for llama2 and 5 shards for llama3)
+  for (int offset = 0, shard_index = 0, v_stride = 1023 * 128;
+       shard_index < modules_.size();
+       offset += shard_layers_[shard_index], shard_index++) {
+    for (int layer = 0; layer < shard_layers_[shard_index]; ++layer) {
+      for (int cache_group = 0; cache_group < 2; ++cache_group) {
+        for (int head = 0; head < num_heads_; ++head) {
+          // bypass hidden_state(input_ids), atten_mask, pos_cos, pos_sin
+          int index =
+              num_heads_ * 2 * layer + cache_group * num_heads_ + head + 4;
+          Result<TensorInfo> kv_cache =
+              methods_meta[shard_index]->input_tensor_meta(index);
+          std::vector<std::unique_ptr<TensorImpl>>& cache =
+              (cache_group == 0 ? k_cache_in_ : v_cache_in_);
+
+          void* cache_ptr = (cache_group == 0)
+              ? static_cast<void*>(ptr->k_cache[layer + offset][head])
+              : static_cast<void*>(
+                    ptr->v_cache[layer + offset] + head * v_stride);
+
+          cache.emplace_back(std::make_unique<TensorImpl>(
+              kv_cache->scalar_type(),
+              kv_cache->sizes().size(),
+              const_cast<TensorImpl::SizesType*>(kv_cache->sizes().data()),
+              cache_ptr,
+              const_cast<TensorImpl::DimOrderType*>(
+                  kv_cache->dim_order().data())));
+          input_tensors_[shard_index].push_back(cache.back().get());
+        }
+      }
+    }
+  }
+  // [O] kv_cache for all shards (4 shards for llama2 and 5 shards for llama3)
+  for (int offset = 0, shard_index = 0, v_stride = 1023 * 128;
+       shard_index < modules_.size();
+       offset += shard_layers_[shard_index], shard_index++) {
+    for (int layer = 0; layer < shard_layers_[shard_index]; ++layer) {
+      for (int cache_group = 0; cache_group < 2; ++cache_group) {
+        for (int head = 0; head < num_heads_; ++head) {
+          int index = num_heads_ * 2 * layer + cache_group * num_heads_ + head;
+          Result<TensorInfo> kv_cache =
+              methods_meta[shard_index]->output_tensor_meta(index);
+          std::vector<std::unique_ptr<TensorImpl>>& cache =
+              (cache_group == 0 ? v_cache_out_ : k_cache_out_);
+
+          void* cache_ptr = (cache_group == 0)
+              ? static_cast<void*>(
+                    ptr->v_cache[layer + offset] + (head + 1) * v_stride)
+              : static_cast<void*>(ptr->k_cache_out[layer + offset][head]);
+
+          cache.emplace_back(std::make_unique<TensorImpl>(
+              kv_cache->scalar_type(),
+              kv_cache->sizes().size(),
+              const_cast<TensorImpl::SizesType*>(kv_cache->sizes().data()),
+              cache_ptr,
+              const_cast<TensorImpl::DimOrderType*>(
+                  kv_cache->dim_order().data())));
+          output_tensors_[shard_index].push_back(cache.back().get());
+        }
+      }
+    }
+  }
+  // [O]: hidden_state for shard 0 to n-1
+  for (int shard_index = 0; shard_index < modules_.size() - 1; ++shard_index) {
+    output_tensors_[shard_index].push_back(hidden_state_.get());
+  }
+  // [O]: logits
+  {
+    int output_index = shard_layers_[modules_.size() - 1] * 2 *
+        num_heads_; // layers*(k + v caches)*heads
+    Result<TensorInfo> logits =
+        methods_meta[modules_.size() - 1]->output_tensor_meta(output_index);
+    logits_ = std::make_unique<TensorImpl>(
+        logits->scalar_type(),
+        logits->sizes().size(),
+        const_cast<TensorImpl::SizesType*>(logits->sizes().data()),
+        ptr->logits,
+        const_cast<TensorImpl::DimOrderType*>(logits->dim_order().data()));
+    output_tensors_[modules_.size() - 1].push_back(logits_.get());
+  }
+
+  // QAIHub Llama2 have 4* io compared to QAIHub Llama3,
+  // so we use multi-threading for Llama2 when updating io
+  if (num_heads_ == 32) {
+    // thread pool jobs
+    for (int i = 0, range = 1024 / thread_pool_.num_workers();
+         i < thread_pool_.num_workers();
+         ++i) {
+      lr_update_kv_.push_back(
+          {.start = i * range, .end = (i + 1) * range, .step = 1});
+    }
+  }
+}
+
+void KVCachedMemory::update_io(
+    int64_t cur_token,
+    int64_t pos,
+    std::vector<std::vector<Tensor>>& output_tensors) {
+  IO* ptr = static_cast<IO*>(data_ptr_.get());
+  int seq_len = 1023;
+  // update input_ids
+  ptr->input_ids = static_cast<int32_t>(cur_token);
+  // update causal mask for next token
+  ptr->attention_mask[seq_len - pos] = 65535;
+  // update position_ids
+  position_ids_cos_->set_data(position_ids_cos_->mutable_data<uint16_t>() + 64);
+  position_ids_sin_->set_data(position_ids_sin_->mutable_data<uint16_t>() + 64);
+
+  // use multithreading when we have a lot of ios, Llama2 in this case
+  if (num_heads_ == 32) {
+    auto update_kv = [&](void* arg) {
+      LoopRange* lr = static_cast<LoopRange*>(arg);
+      // update v_cache
+      for (int i = lr->start; i < lr->end; i += lr->step) {
+        v_cache_in_[i]->set_data(v_cache_in_[i]->mutable_data<uint8_t>() + 128);
+        v_cache_out_[i]->set_data(
+            v_cache_out_[i]->mutable_data<uint8_t>() + 128);
+      }
+      // update output tensors of v_cache, 256 is the number of kvs per shard
+      int shard = lr->start >> 8, offset = shard << 8;
+      int start = lr->start - offset, end = lr->end - offset;
+      for (int cache_stride = start; cache_stride < end; cache_stride += 32) {
+        for (int cache_group = 0; cache_group < 2; ++cache_group) {
+          for (int head = 0; head < 32; ++head) {
+            // k, v are placed interleaved
+            int index = (cache_stride << 1) + (cache_group << 5) + head;
+            ET_CHECK_MSG(
+                modules_[shard]->set_output(
+                    output_tensors[shard][index], index) == Error::Ok,
+                "failed to set output tensor for module %d's %d'th output "
+                "while updating kv_cache output tensors",
+                shard,
+                index);
+          }
+        }
+      }
+    };
+
+    for (int i = 0; i < lr_update_kv_.size(); ++i) {
+      futures_[i] = std::move(thread_pool_.issue(update_kv, &lr_update_kv_[i]));
+    }
+  } else {
+    // update v_cache
+    for (int i = 0; i < v_cache_in_.size(); i++) {
+      v_cache_in_[i]->set_data(v_cache_in_[i]->mutable_data<uint8_t>() + 128);
+      v_cache_out_[i]->set_data(v_cache_out_[i]->mutable_data<uint8_t>() + 128);
+    }
+    for (int shard = 0; shard < output_tensors.size(); shard++) {
+      for (int index = 0; index < output_tensors[shard].size(); index++) {
+        ET_CHECK_MSG(
+            modules_[shard]->set_output(output_tensors[shard][index], index) ==
+                Error::Ok,
+            "failed to set output tensor for module %d's %d'th output "
+            "while updating kv_cache output tensors",
+            shard,
+            index);
+      }
+    }
+  }
+  // update k_cache by single thread, this part is cpu cache sensitive
+  for (int i = 0; i < k_cache_in_.size(); ++i) {
+    uint8_t* ptr_in = k_cache_in_[i]->mutable_data<uint8_t>();
+    const uint8_t* ptr_out = k_cache_out_[i]->data<uint8_t>();
+    for (size_t j = 0, offset = seq_len; j < 128; ++j, offset += seq_len) {
+      ptr_in[offset] = ptr_out[j];
+    }
+    k_cache_in_[i]->set_data(ptr_in + 1);
+  }
+  for (auto& future : futures_) {
+    future.wait();
+  }
+}
+
+ThreadPool::ThreadPool() : stop_(false) {
+  size_t hc = (std::thread::hardware_concurrency() + 3) / 4;
+  // maximum number should be divisible by head dimension which equals to 32
+  num_workers_ = std::min<size_t>(32, hc * 4);
+  for (size_t i = 0; i < num_workers_; ++i) {
+    threads_.emplace_back([this]() {
+      while (1) {
+        std::unique_lock<std::mutex> lock(mutex_);
+        cv_.wait(lock, [this] { return !jobs_.empty() || stop_; });
+
+        if (stop_ && jobs_.empty())
+          return;
+
+        JobInfo job_info(std::move(jobs_.front()));
+        jobs_.pop();
+        lock.unlock();
+        job_info.func(job_info.arg);
+      }
+    });
+  }
+}
+
+ThreadPool::~ThreadPool() {
+  std::unique_lock<std::mutex> lock(mutex_);
+  stop_ = true;
+  lock.unlock();
+  cv_.notify_all();
+  for (auto& thread : threads_) {
+    thread.join();
+  }
+}
+
+std::future<void> ThreadPool::issue(
+    std::function<void(void*)> func,
+    void* arg) {
+  std::unique_lock<std::mutex> lock(mutex_);
+  jobs_.push(JobInfo(std::packaged_task<void(void*)>(func), arg));
+  std::future<void> f = std::move(jobs_.back().func.get_future());
+  lock.unlock();
+  cv_.notify_one();
+  return f;
+}
+
+size_t ThreadPool::num_workers() {
+  return num_workers_;
+}
+
+} // namespace example
diff --git a/examples/qualcomm/qaihub_scripts/llama/runner/io_memory.h b/examples/qualcomm/qaihub_scripts/llama/runner/io_memory.h
new file mode 100644
index 0000000000..4ad7264cc9
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/llama/runner/io_memory.h
@@ -0,0 +1,167 @@
+/*
+ * Copyright (c) Qualcomm Innovation Center, Inc.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <cstdint>
+#include <future>
+#include <memory>
+#include <queue>
+#include <thread>
+#include <vector>
+
+#include <executorch/extension/module/module.h>
+#include <executorch/runtime/executor/method_meta.h>
+
+#if defined(QAIHUB_LLAMA3_RUNNER)
+#define QAIHUB_LLAMA_NUM_HEADS 8
+#define QAIHUB_LLAMA_LOGITS 128256
+#else
+#define QAIHUB_LLAMA_NUM_HEADS 32
+#define QAIHUB_LLAMA_LOGITS 32000
+#endif
+
+namespace example {
+
+class Memory {
+ public:
+  Memory(
+      const std::vector<std::string>& pos_embs_path,
+      std::vector<std::shared_ptr<executorch::extension::Module>>& modules);
+  virtual ~Memory();
+  virtual void prepare_io(
+      const std::vector<
+          executorch::runtime::Result<executorch::runtime::MethodMeta>>&
+          methods_meta) = 0;
+  virtual void update_io(
+      int64_t cur_token,
+      int64_t pos,
+      std::vector<std::vector<executorch::aten::Tensor>>& output_tensors) = 0;
+  void* get_mutable_ptr();
+  std::vector<executorch::aten::Tensor> get_input_tensors(int shard_index);
+  std::vector<executorch::aten::Tensor> get_output_tensors(int shard_index);
+
+ protected:
+  std::unique_ptr<void, void (*)(void*)> data_ptr_;
+  std::vector<std::vector<executorch::aten::TensorImpl*>> input_tensors_;
+  std::vector<std::vector<executorch::aten::TensorImpl*>> output_tensors_;
+  std::vector<std::string> pos_embs_path_;
+  std::vector<std::shared_ptr<executorch::extension::Module>> modules_;
+};
+
+class BertMemory : public Memory {
+ public:
+  BertMemory(
+      const std::vector<std::string>& pos_embs_path,
+      std::vector<std::shared_ptr<executorch::extension::Module>>& modules,
+      std::vector<int> shard_layers);
+  void prepare_io(const std::vector<executorch::runtime::Result<
+                      executorch::runtime::MethodMeta>>& methods_meta) override;
+  void update_io(
+      int64_t cur_token,
+      int64_t pos,
+      std::vector<std::vector<executorch::aten::Tensor>>& output_tensors)
+      override;
+  struct IO {
+    int32_t input_ids[1024 * 2];
+    uint16_t hidden_state[1024 * 4096];
+    uint16_t attention_mask[1024 * 1024];
+    uint16_t position_ids_cos[1024 * 64];
+    uint16_t position_ids_sin[1024 * 64];
+    uint8_t k_cache[32][QAIHUB_LLAMA_NUM_HEADS][128 * 1024];
+    uint8_t v_cache[32][QAIHUB_LLAMA_NUM_HEADS][1024 * 128];
+    uint16_t logits[QAIHUB_LLAMA_LOGITS];
+  };
+
+ private:
+  std::unique_ptr<executorch::aten::TensorImpl> input_ids_;
+  std::unique_ptr<executorch::aten::TensorImpl> hidden_state_;
+  std::unique_ptr<executorch::aten::TensorImpl> attention_mask_;
+  std::unique_ptr<executorch::aten::TensorImpl> position_ids_cos_;
+  std::unique_ptr<executorch::aten::TensorImpl> position_ids_sin_;
+  std::vector<std::unique_ptr<executorch::aten::TensorImpl>> k_cache_;
+  std::vector<std::unique_ptr<executorch::aten::TensorImpl>> v_cache_;
+  std::unique_ptr<executorch::aten::TensorImpl> logits_;
+  std::vector<int> shard_layers_;
+  int num_heads_;
+};
+
+class ThreadPool {
+ public:
+  ThreadPool();
+  ~ThreadPool();
+
+  std::future<void> issue(std::function<void(void*)> func, void* arg);
+  size_t num_workers();
+
+ private:
+  struct JobInfo {
+    explicit JobInfo(std::packaged_task<void(void*)>&& func, void* arg)
+        : func(std::move(func)), arg(arg) {}
+    explicit JobInfo(JobInfo&& job_info)
+        : func(std::move(job_info.func)), arg(job_info.arg) {}
+    std::packaged_task<void(void*)> func;
+    void* arg;
+  };
+  size_t num_workers_;
+  std::vector<std::thread> threads_;
+  std::queue<JobInfo> jobs_;
+  std::mutex mutex_;
+  std::condition_variable cv_;
+  bool stop_;
+};
+
+class KVCachedMemory : public Memory {
+ public:
+  KVCachedMemory(
+      const std::vector<std::string>& pos_embs_path,
+      std::vector<std::shared_ptr<executorch::extension::Module>>& modules,
+      std::vector<int> shard_layers);
+  void prepare_io(const std::vector<executorch::runtime::Result<
+                      executorch::runtime::MethodMeta>>& methods_meta) override;
+  void update_io(
+      int64_t cur_token,
+      int64_t pos,
+      std::vector<std::vector<executorch::aten::Tensor>>& output_tensors)
+      override;
+  struct IO {
+    int32_t input_ids;
+    uint16_t hidden_state[4096];
+    uint16_t attention_mask[1024];
+    uint16_t position_ids_cos[1024 * 64];
+    uint16_t position_ids_sin[1024 * 64];
+    uint8_t k_cache[32][QAIHUB_LLAMA_NUM_HEADS][129 * 1023];
+    uint8_t v_cache[32][(QAIHUB_LLAMA_NUM_HEADS + 1) * 1023 * 128];
+    uint8_t k_cache_out[32][QAIHUB_LLAMA_NUM_HEADS][128];
+    uint16_t logits[QAIHUB_LLAMA_LOGITS];
+  };
+  struct LoopRange {
+    int32_t start;
+    int32_t end;
+    int32_t step;
+  };
+
+ private:
+  std::unique_ptr<executorch::aten::TensorImpl> input_ids_;
+  std::unique_ptr<executorch::aten::TensorImpl> hidden_state_;
+  std::unique_ptr<executorch::aten::TensorImpl> attention_mask_;
+  std::unique_ptr<executorch::aten::TensorImpl> position_ids_cos_;
+  std::unique_ptr<executorch::aten::TensorImpl> position_ids_sin_;
+  std::vector<std::unique_ptr<executorch::aten::TensorImpl>> k_cache_in_;
+  std::vector<std::unique_ptr<executorch::aten::TensorImpl>> v_cache_in_;
+  std::vector<std::unique_ptr<executorch::aten::TensorImpl>> k_cache_out_;
+  std::vector<std::unique_ptr<executorch::aten::TensorImpl>> v_cache_out_;
+  std::unique_ptr<executorch::aten::TensorImpl> logits_;
+  std::vector<LoopRange> lr_update_kv_;
+  std::vector<std::future<void>> futures_;
+  ThreadPool thread_pool_;
+  std::vector<int> shard_layers_;
+  int num_heads_;
+};
+
+} // namespace example
diff --git a/examples/qualcomm/qaihub_scripts/llama/runner/runner.cpp b/examples/qualcomm/qaihub_scripts/llama/runner/runner.cpp
new file mode 100644
index 0000000000..721c16209c
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/llama/runner/runner.cpp
@@ -0,0 +1,415 @@
+/*
+ * Copyright (c) Qualcomm Innovation Center, Inc.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// A simple llama2/3 runner that includes preprocessing and post processing
+// logic. The module takes in a string as input and emits a string as output.
+
+#if defined(QAIHUB_LLAMA3_RUNNER)
+#include <executorch/examples/models/llama2/tokenizer/llama_tiktoken.h>
+#else
+#include <executorch/extension/llm/tokenizer/bpe_tokenizer.h>
+#endif
+#include <executorch/examples/qualcomm/qaihub_scripts/llama/runner/runner.h>
+#include <executorch/extension/evalue_util/print_evalue.h>
+#include <executorch/extension/llm/runner/util.h>
+#include <executorch/runtime/core/exec_aten/exec_aten.h>
+#include <executorch/runtime/core/exec_aten/util/scalar_type_util.h>
+#include <executorch/runtime/platform/log.h>
+
+#include <ctime>
+#include <memory>
+#include <sstream>
+
+#if defined(__aarch64__)
+#include "arm_neon.h"
+#endif
+
+using executorch::aten::Tensor;
+using executorch::extension::Module;
+using executorch::extension::llm::Sampler;
+using executorch::extension::llm::time_in_ms;
+using executorch::runtime::Error;
+using executorch::runtime::EValue;
+using executorch::runtime::MethodMeta;
+using executorch::runtime::Result;
+
+namespace example {
+
+namespace {
+static constexpr auto kTopp = 0.9f;
+void printReport(const Runner::Stats& stats);
+std::string statsToJsonString(const Runner::Stats& stats);
+} // namespace
+
+Runner::Runner(
+    const std::vector<std::string>& models_path,
+    const std::vector<std::string>& pos_embs_path,
+    const std::vector<int>& shard_layers,
+    const std::string& tokenizer_path,
+    const int eval_mode,
+    const float temperature,
+    const float logits_scale,
+    const int logits_offset)
+    : tokenizer_path_(tokenizer_path),
+      temperature_(temperature),
+      n_bos_(1),
+      n_eos_(1),
+      vocab_size_(QAIHUB_LLAMA_LOGITS),
+      max_seq_len_(1024),
+      eval_mode_(eval_mode),
+      stats_({}),
+      logits_scale_(logits_scale),
+      logits_offset_(logits_offset) {
+  for (size_t i = 0; i < models_path.size(); ++i) {
+    modules_.push_back(std::make_shared<Module>(
+        models_path[i], Module::LoadMode::MmapUseMlockIgnoreErrors));
+    ET_LOG(Info, "creating module: model_path=%s", models_path[i].c_str());
+  }
+  ET_LOG(Info, "creating runner: tokenizer_path=%s", tokenizer_path_.c_str());
+
+// load tokenizer
+#if defined(QAIHUB_LLAMA3_RUNNER)
+  tokenizer_ = example::get_tiktoken_for_llama();
+  tokenizer_->load(tokenizer_path_);
+  eos_id_.insert(tokenizer_->encode("<|eot_id|>", 0, 0).get()[0]);
+  version_ = LlamaVersion::kLlama3;
+#else
+  tokenizer_ = std::make_unique<executorch::extension::llm::BPETokenizer>();
+  tokenizer_->load(tokenizer_path_);
+  version_ = LlamaVersion::kLlama2;
+#endif
+
+  bos_id_ = tokenizer_->bos_tok();
+  eos_id_.insert(tokenizer_->eos_tok());
+
+  switch (eval_mode_) {
+    case EvalMode::kBert:
+      io_mem_ =
+          std::make_unique<BertMemory>(pos_embs_path, modules_, shard_layers);
+      break;
+    case EvalMode::kKVCached:
+      io_mem_ = std::make_unique<KVCachedMemory>(
+          pos_embs_path, modules_, shard_layers);
+      break;
+    default:
+      ET_CHECK_MSG(false, "unsupported evaluation mode");
+  }
+  ET_LOG(Info, "creating io_memory");
+}
+
+bool Runner::is_loaded() const {
+  bool loaded = true;
+  for (const std::shared_ptr<Module>& module : modules_) {
+    loaded &= module->is_loaded();
+  }
+  return loaded && tokenizer_ && sampler_;
+}
+
+Error Runner::load() {
+  if (is_loaded()) {
+    return Error::Ok;
+  }
+  for (std::shared_ptr<Module>& module : modules_) {
+    ET_CHECK_OK_OR_RETURN_ERROR(module->load_method("forward"));
+  }
+
+  // create sampler
+  sampler_ = std::make_unique<Sampler>(
+      vocab_size_,
+      temperature_,
+      kTopp,
+      static_cast<unsigned long long>(std::time(nullptr)));
+
+  // prepare io
+  auto methods_meta = get_methods_meta();
+  io_mem_->prepare_io(methods_meta);
+  return Error::Ok;
+}
+
+int32_t Runner::logitsToToken(const Tensor& logits_tensor) {
+  static std::vector<float> logits_f(vocab_size_);
+  const uint16_t* logits = logits_tensor.data_ptr<uint16_t>();
+
+#if defined(__aarch64__)
+  static int32x4_t offset = vmovq_n_s32(logits_offset_);
+  static float32x4_t scale = vmovq_n_f32(logits_scale_);
+  // dequantize
+  for (int i = 0; i < vocab_size_; i += 4) {
+    const uint16_t* in = logits + i;
+    float* out = logits_f.data() + i;
+    int32_t data[4] = {in[0], in[1], in[2], in[3]};
+    int32x4_t quantized = vld1q_s32(data);
+    int32x4_t shifted = vsubq_s32(quantized, offset);
+    float32x4_t shifted_f = vcvtq_f32_s32(shifted);
+    vst1q_f32(out, vmulq_f32(shifted_f, scale));
+  }
+#else
+  // dequantize
+  for (int i = 0; i < vocab_size_; i++) {
+    logits_f[i] = (logits[i] - logits_offset_) * logits_scale_;
+  }
+#endif
+
+  return sampler_->sample(logits_f.data());
+}
+
+void Runner::run_model_step(std::vector<std::vector<EValue>>& inputs) {
+  for (size_t i = 0, num_modules = modules_.size(); i < num_modules; ++i) {
+    Result<std::vector<EValue>> outputs_res = modules_[i]->forward(inputs[i]);
+    ET_CHECK_MSG(
+        outputs_res.error() == Error::Ok, "shard %zu inference failed", i);
+  }
+}
+
+// TODO: add overloaded method for on-device tokenize
+Error Runner::generate(
+    const std::string& prompt,
+    const std::string& system_prompt,
+    int32_t seq_len,
+    std::function<void(const std::string&)> token_callback,
+    std::function<void(const Stats&)> stats_callback) {
+  ET_CHECK_MSG(!prompt.empty(), "prompt cannot be null");
+
+  std::vector<std::vector<Tensor>> input_tensors, output_tensors;
+  std::vector<std::vector<EValue>> inputs;
+  if (!is_loaded()) {
+    stats_.model_load_start_ms = time_in_ms();
+    ET_CHECK_OK_OR_RETURN_ERROR(load());
+    for (int i = 0; i < modules_.size(); ++i) {
+      input_tensors.emplace_back(io_mem_->get_input_tensors(i));
+      output_tensors.emplace_back(io_mem_->get_output_tensors(i));
+      for (size_t j = 0; j < output_tensors[i].size(); ++j) {
+        ET_CHECK_MSG(
+            modules_[i]->set_output(output_tensors[i][j], j) == Error::Ok,
+            "failed to set output tensor for module %d's %zu'th output",
+            i,
+            j);
+      }
+      inputs.emplace_back(
+          std::vector<EValue>(begin(input_tensors[i]), end(input_tensors[i])));
+    }
+    stats_.model_load_end_ms = time_in_ms();
+  }
+
+  stats_.inference_start_ms = time_in_ms();
+  seq_len = (seq_len > 0 && seq_len <= max_seq_len_) ? seq_len : max_seq_len_;
+
+  std::string post_process_prompt;
+  switch (version_) {
+    case LlamaVersion::kLlama2:
+      post_process_prompt.append(prompt);
+      break;
+    case LlamaVersion::kLlama3:
+      if (!system_prompt.empty()) {
+        post_process_prompt.append(
+            "<|start_header_id|>system<|end_header_id|>\n\n");
+        post_process_prompt.append(system_prompt);
+        post_process_prompt.append("<|eot_id|>\n");
+      }
+      post_process_prompt.append(
+          "<|start_header_id|>user<|end_header_id|>\n\n");
+      post_process_prompt.append(prompt);
+      post_process_prompt.append(
+          "<|eot_id|><|start_header_id|>assistant<|end_header_id|>");
+      // tokenizer_->encode will add <|begin_of_text|> token for us.
+      // For now, do token call back so the output format looks the same as
+      // llama3 model card.
+      if (token_callback && eval_mode_ == EvalMode::kKVCached) {
+        token_callback("<|begin_of_text|>");
+      }
+      break;
+    default:
+      ET_CHECK_MSG(false, "unsupported llama version");
+      break;
+  }
+
+  Result<std::vector<uint64_t>> encode_res =
+      tokenizer_->encode(post_process_prompt, n_bos_, 0);
+  ET_CHECK_OK_OR_RETURN_ERROR(
+      encode_res.error(),
+      "failed to encode prompt %s",
+      post_process_prompt.c_str());
+
+  std::vector<uint64_t> prompt_tokens = encode_res.get();
+  int num_prompt_tokens = prompt_tokens.size();
+  ET_CHECK_MSG(num_prompt_tokens < max_seq_len_, "max seq length exceeded");
+  ET_CHECK_MSG(
+      num_prompt_tokens < seq_len,
+      "sequence length exceeded - please increase the seq_len value");
+
+  int64_t pos = 0, prev_token, cur_token = prompt_tokens[0];
+  if (eval_mode_ == EvalMode::kBert) {
+    BertMemory::IO* ptr =
+        static_cast<BertMemory::IO*>(io_mem_->get_mutable_ptr());
+
+    int start_index = max_seq_len_ - num_prompt_tokens;
+    // indices are filled from behind, take 3 tokens as an example:
+    // > tokens : [...tok_pad, tok_bos, tok1, tok2]
+    // > indices: [0.....1020, 1021,    1022, 1023]
+    for (int i = 0; i < num_prompt_tokens; i++) {
+      ptr->input_ids[start_index + i] = static_cast<int32_t>(prompt_tokens[i]);
+    }
+    // causal attention mask is filled as following:
+    // 0, 65535 maps to -100.0, 0.0 after dequantizing
+    // 0      : [0,...................0,     0,     0,     0]
+    // 1-1019 : ...
+    // 1020   : [0,...............65535,     0,     0,     0]
+    // 1021   : [0,...............65535, 65535,     0,     0]
+    // 1022   : [0,...............65535, 65535, 65535,     0]
+    // 1023   : [0,...............65535, 65535, 65535, 65535]
+    for (int i = max_seq_len_ - 1, len = num_prompt_tokens; len >= 0;
+         --i, --len) {
+      for (int j = 0; j <= len; ++j) {
+        ptr->attention_mask[i * max_seq_len_ + start_index - 1 + j] = 65535;
+      }
+    }
+    pos = num_prompt_tokens - 1;
+    cur_token = prompt_tokens[pos];
+  } else if (eval_mode_ == EvalMode::kKVCached) {
+    KVCachedMemory::IO* ptr =
+        static_cast<KVCachedMemory::IO*>(io_mem_->get_mutable_ptr());
+    ptr->input_ids = static_cast<int32_t>(cur_token);
+    ptr->attention_mask[max_seq_len_ - 1] = 65535;
+  }
+
+  while (pos < seq_len - 1) {
+    // inference
+    run_model_step(inputs);
+    Tensor& logits_tensor = output_tensors.back().back();
+
+    if (pos == num_prompt_tokens) {
+      stats_.first_token_ms = time_in_ms();
+    } else if (pos == num_prompt_tokens - 1) {
+      stats_.prompt_eval_end_ms = time_in_ms();
+    }
+
+    long sample_start_time_ms = time_in_ms();
+    prev_token = cur_token;
+    cur_token = logitsToToken(logits_tensor);
+    stats_.aggregate_sampling_time_ms += time_in_ms() - sample_start_time_ms;
+
+    if (pos < num_prompt_tokens - 1) {
+      cur_token = prompt_tokens[pos + 1];
+    }
+    io_mem_->update_io(cur_token, ++pos, output_tensors);
+
+    auto piece_res = tokenizer_->decode(prev_token, cur_token);
+    ET_CHECK(piece_res.ok());
+
+    if (token_callback) {
+      token_callback(piece_res.get().c_str());
+    }
+
+    if (pos >= num_prompt_tokens && eos_id_.count(cur_token) > 0) {
+      ET_LOG(Info, "\nReached to the end of generation");
+      break;
+    }
+  }
+  stats_.inference_end_ms = time_in_ms();
+
+  if (pos == seq_len) {
+    ET_LOG(Info, "\nSequence length (%i tokens) reached!", seq_len);
+  }
+
+  stats_.num_prompt_tokens = num_prompt_tokens;
+  stats_.num_generated_tokens = pos - num_prompt_tokens;
+  printReport(stats_);
+  if (stats_callback) {
+    stats_callback(stats_);
+  }
+
+  return Error::Ok;
+}
+
+namespace {
+void printReport(const Runner::Stats& stats) {
+  printf("PyTorchObserver %s\n", statsToJsonString(stats).c_str());
+
+  ET_LOG(
+      Info,
+      "\tPrompt Tokens: %" PRIu64 "    Generated Tokens: %" PRIu64,
+      stats.num_prompt_tokens,
+      stats.num_generated_tokens);
+
+  ET_LOG(
+      Info,
+      "\tModel Load Time:\t\t%f (seconds)",
+      ((double)(stats.model_load_end_ms - stats.model_load_start_ms) /
+       stats.SCALING_FACTOR_UNITS_PER_SECOND));
+  double inference_time_ms =
+      (double)(stats.inference_end_ms - stats.inference_start_ms);
+  ET_LOG(
+      Info,
+      "\tTotal inference time:\t\t%f (seconds)\t\t Rate: \t%f (tokens/second)",
+      inference_time_ms / stats.SCALING_FACTOR_UNITS_PER_SECOND,
+
+      (stats.num_generated_tokens) /
+          (double)(stats.inference_end_ms - stats.inference_start_ms) *
+          stats.SCALING_FACTOR_UNITS_PER_SECOND);
+  double prompt_eval_time =
+      (double)(stats.prompt_eval_end_ms - stats.inference_start_ms);
+  ET_LOG(
+      Info,
+      "\t\tPrompt evaluation:\t%f (seconds)\t\t Rate: \t%f (tokens/second)",
+      prompt_eval_time / stats.SCALING_FACTOR_UNITS_PER_SECOND,
+      (stats.num_prompt_tokens) / prompt_eval_time *
+          stats.SCALING_FACTOR_UNITS_PER_SECOND);
+
+  double eval_time =
+      (double)(stats.inference_end_ms - stats.prompt_eval_end_ms);
+  ET_LOG(
+      Info,
+      "\t\tGenerated %" PRIu64
+      " tokens:\t%f (seconds)\t\t Rate: \t%f (tokens/second)",
+      stats.num_generated_tokens,
+      eval_time / stats.SCALING_FACTOR_UNITS_PER_SECOND,
+      stats.num_generated_tokens / eval_time *
+          stats.SCALING_FACTOR_UNITS_PER_SECOND);
+
+  // Time to first token is measured from the start of inference, excluding
+  // model load time.
+  ET_LOG(
+      Info,
+      "\tTime to first generated token:\t%f (seconds)",
+      ((double)(stats.first_token_ms - stats.inference_start_ms) /
+       stats.SCALING_FACTOR_UNITS_PER_SECOND));
+
+  ET_LOG(
+      Info,
+      "\tSampling time over %" PRIu64 " tokens:\t%f (seconds)",
+      stats.num_prompt_tokens + stats.num_generated_tokens,
+      (double)stats.aggregate_sampling_time_ms /
+          stats.SCALING_FACTOR_UNITS_PER_SECOND);
+}
+
+std::string statsToJsonString(const Runner::Stats& stats) {
+  std::stringstream ss;
+  ss << "{\"prompt_tokens\":" << stats.num_prompt_tokens << ","
+     << "\"generated_tokens\":" << stats.num_generated_tokens << ","
+     << "\"model_load_start_ms\":" << stats.model_load_start_ms << ","
+     << "\"model_load_end_ms\":" << stats.model_load_end_ms << ","
+     << "\"inference_start_ms\":" << stats.inference_start_ms << ","
+     << "\"inference_end_ms\":" << stats.inference_end_ms << ","
+     << "\"prompt_eval_end_ms\":" << stats.prompt_eval_end_ms << ","
+     << "\"first_token_ms\":" << stats.first_token_ms << ","
+     << "\"aggregate_sampling_time_ms\":" << stats.aggregate_sampling_time_ms
+     << "," << "\"SCALING_FACTOR_UNITS_PER_SECOND\":"
+     << stats.SCALING_FACTOR_UNITS_PER_SECOND << "}";
+  return ss.str();
+}
+} // namespace
+
+std::vector<Result<MethodMeta>> Runner::get_methods_meta() {
+  std::vector<Result<MethodMeta>> methods_meta;
+  methods_meta.reserve(modules_.size());
+  for (std::shared_ptr<Module>& module : modules_) {
+    methods_meta.emplace_back(module->method_meta("forward"));
+  }
+  return methods_meta;
+}
+} // namespace example
diff --git a/examples/qualcomm/qaihub_scripts/llama/runner/runner.h b/examples/qualcomm/qaihub_scripts/llama/runner/runner.h
new file mode 100644
index 0000000000..0d15114bc6
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/llama/runner/runner.h
@@ -0,0 +1,112 @@
+/*
+ * Copyright (c) Qualcomm Innovation Center, Inc.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// A simple llama2/3 runner that includes preprocessing and post processing
+// logic. The module takes in a string as input and emits a string as output.
+
+#pragma once
+
+#include <cstdint>
+#include <functional>
+#include <memory>
+#include <string>
+#include <unordered_map>
+
+#include <executorch/examples/qualcomm/qaihub_scripts/llama/runner/io_memory.h>
+#include <executorch/extension/llm/sampler/sampler.h>
+#include <executorch/extension/llm/tokenizer/tokenizer.h>
+#include <executorch/extension/module/module.h>
+
+namespace example {
+
+class Runner {
+ public:
+  explicit Runner(
+      const std::vector<std::string>& models_path,
+      const std::vector<std::string>& pos_embs_path,
+      const std::vector<int>& shard_layers,
+      const std::string& tokenizer_path,
+      const int eval_mode,
+      const float temperature,
+      const float logits_scale,
+      const int logits_offset);
+
+  struct Stats {
+    // Scaling factor for timestamps - in this case, we use ms.
+    const long SCALING_FACTOR_UNITS_PER_SECOND = 1000;
+    // Time stamps for the different stages of the execution
+    // model_load_start_ms: Start of model loading.
+    long model_load_start_ms;
+    // model_load_end_ms: End of model loading.
+    long model_load_end_ms;
+    // inference_start_ms: Immediately after the model is loaded (or we check
+    // for model load), measure the inference time.
+    long inference_start_ms;
+    // prompt_eval_end_ms: Prompt array allocation and tokenization. Ends right
+    // before the inference loop starts
+    long prompt_eval_end_ms;
+    // first_token: Timestamp when the first generated token is emitted
+    long first_token_ms;
+    // inference_end_ms: End of inference/generation.
+    long inference_end_ms;
+    // Keep a running total of the time spent in sampling.
+    long aggregate_sampling_time_ms;
+    // Token count from prompt
+    int64_t num_prompt_tokens;
+    // Token count from generated (total - prompt)
+    int64_t num_generated_tokens;
+  };
+
+  bool is_loaded() const;
+  executorch::runtime::Error load();
+  executorch::runtime::Error generate(
+      const std::string& prompt,
+      const std::string& system_prompt,
+      int32_t seq_len,
+      std::function<void(const std::string&)> token_callback = {},
+      std::function<void(const Stats&)> stats_callback = {});
+  void stop();
+  std::vector<executorch::runtime::Result<executorch::runtime::MethodMeta>>
+  get_methods_meta();
+
+ private:
+  enum EvalMode {
+    kBert = 0,
+    kKVCached,
+    kUnsupported,
+  };
+
+  enum LlamaVersion {
+    kLlama2 = 0,
+    kLlama3,
+  };
+
+  int32_t logitsToToken(const executorch::aten::Tensor& logits_tensor);
+  void run_model_step(
+      std::vector<std::vector<executorch::runtime::EValue>>& inputs);
+  // metadata
+  int32_t bos_id_;
+  std::unordered_set<uint64_t> eos_id_;
+  const int32_t n_bos_;
+  const int32_t n_eos_;
+  const int32_t vocab_size_;
+  const int32_t max_seq_len_;
+  int32_t eval_mode_;
+  std::vector<std::shared_ptr<executorch::extension::Module>> modules_;
+  std::string tokenizer_path_;
+  float temperature_;
+  std::unique_ptr<executorch::extension::llm::Tokenizer> tokenizer_;
+  std::unique_ptr<executorch::extension::llm::Sampler> sampler_;
+  Stats stats_;
+  std::unique_ptr<Memory> io_mem_;
+  const float logits_scale_;
+  const int32_t logits_offset_;
+  LlamaVersion version_;
+};
+
+} // namespace example
diff --git a/examples/qualcomm/qaihub_scripts/stable_diffusion/CMakeLists.txt b/examples/qualcomm/qaihub_scripts/stable_diffusion/CMakeLists.txt
new file mode 100644
index 0000000000..8a2e69b374
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/stable_diffusion/CMakeLists.txt
@@ -0,0 +1,36 @@
+# Copyright (c) Qualcomm Innovation Center, Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# preprocess qaihub_stable_diffusion_runner_src files
+set(_qaihub_stable_diffusion_runner__srcs
+    ${CMAKE_CURRENT_LIST_DIR}/qaihub_stable_diffusion_runner.cpp
+    ${CMAKE_CURRENT_LIST_DIR}/runner/runner.cpp
+    ${CMAKE_CURRENT_LIST_DIR}/runner/runner.h
+)
+
+# build qaihub_stable_diffusion_runner
+add_executable(
+  qaihub_stable_diffusion_runner ${_qaihub_stable_diffusion_runner__srcs}
+)
+target_include_directories(
+  qaihub_stable_diffusion_runner PUBLIC ${_common_include_directories}
+)
+target_link_libraries(
+  qaihub_stable_diffusion_runner
+  qnn_executorch_backend
+  executorch_no_prim_ops
+  extension_data_loader
+  extension_module
+  extension_tensor
+  gflags
+  re2::re2
+)
+target_compile_options(
+  qaihub_stable_diffusion_runner PUBLIC ${_common_compile_options}
+)
+set_target_properties(
+  qaihub_stable_diffusion_runner PROPERTIES LINK_FLAGS "-Wl,-rpath='$ORIGIN'"
+)
diff --git a/examples/qualcomm/qaihub_scripts/stable_diffusion/README.md b/examples/qualcomm/qaihub_scripts/stable_diffusion/README.md
new file mode 100644
index 0000000000..3b5a74c823
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/stable_diffusion/README.md
@@ -0,0 +1,35 @@
+# Summary
+
+## Overview
+This file provides you the instructions to run Stable-Diffusion-v2.1 with different parameters via Qualcomm HTP backend. We will demonstrate how to run Stable Diffusion v2.1 on mobile devices using context binaries from Qualcomm AI Hub’s Stable Diffusion v2.1
+
+Please check corresponding section for more information.
+
+## Stable-Diffusion-v2.1
+The model architecture, scheduler, and time embedding are from the [stabilityai/stable-diffusion-2-1-base](https://huggingface.co/stabilityai/stable-diffusion-2-1-base).
+
+### Instructions
+#### Step 1: Setup
+1. Follow the [tutorial](https://pytorch.org/executorch/main/getting-started-setup) to set up ExecuTorch.
+2. Follow the [tutorial](https://pytorch.org/executorch/stable/build-run-qualcomm-ai-engine-direct-backend.html) to build Qualcomm AI Engine Direct Backend.
+
+#### Step2: Prepare Model
+1. Download the context binaries for TextEncoder, UNet, and VAEDecoder under https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/tree/main
+2. Download vocab.json under https://huggingface.co/openai/clip-vit-base-patch32/tree/main
+
+
+#### Step3: Install Requirements
+Before running the code, you need to install the necessary Python packages.
+
+We have verified the code with `diffusers`==0.29.0 and `piq`==0.8.0. Please follow the instructions here to install the required items:
+```bash
+sh examples/qualcomm/qaihub_scripts/stable_diffusion/install_requirements.sh
+```
+
+#### Step4: Run default example
+In this example, we execute the script for 20 time steps with the `prompt` 'a photo of an astronaut riding a horse on mars':
+```bash
+python examples/qualcomm/qaihub_scripts/stable_diffusion/qaihub_stable_diffusion.py -b build-android -m ${SOC_MODEL} --s ${SERIAL_NUM} --text_encoder_bin ${PATH_TO_TEXT_ENCODER_CONTEXT_BINARY} --unet_bin ${PATH_TO_UNET_CONTEXT_BINARY} --vae_bin ${PATH_TO_VAE_CONTEXT_BINARY} --vocab_json  ${PATH_TO_VOCAB_JSON_FILE} --num_time_steps 20 --prompt "a photo of an astronaut riding a horse on mars"
+```
+- Please replace `${PATH_TO_TEXT_ENCODER_CONTEXT_BINARY}`, `${PATH_TO_UNET_CONTEXT_BINARY}`, and `${PATH_TO_VAE_CONTEXT_BINARY}` with the actual paths to your AI Hub context binary files.
+- Please replace `${PATH_TO_VOCAB_JSON_FILE}` with the actual path to your vocab.json file.
diff --git a/examples/qualcomm/qaihub_scripts/stable_diffusion/install_requirements.sh b/examples/qualcomm/qaihub_scripts/stable_diffusion/install_requirements.sh
new file mode 100755
index 0000000000..bbb4767bee
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/stable_diffusion/install_requirements.sh
@@ -0,0 +1,3 @@
+# For Stable Diffusion V2.1
+pip install diffusers==0.29.0
+pip install piq==0.8.0
diff --git a/examples/qualcomm/qaihub_scripts/stable_diffusion/qaihub_stable_diffusion.py b/examples/qualcomm/qaihub_scripts/stable_diffusion/qaihub_stable_diffusion.py
new file mode 100644
index 0000000000..defce876ba
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/stable_diffusion/qaihub_stable_diffusion.py
@@ -0,0 +1,405 @@
+# Copyright (c) Qualcomm Innovation Center, Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import json
+import os
+from multiprocessing.connection import Client
+
+import numpy as np
+import piq
+import torch
+from diffusers import EulerDiscreteScheduler, UNet2DConditionModel
+from diffusers.models.embeddings import get_timestep_embedding
+from executorch.backends.qualcomm.serialization.qnn_compile_spec_schema import (
+    QcomChipset,
+)
+
+from executorch.backends.qualcomm.utils.utils import (
+    from_context_binary,
+    generate_htp_compiler_spec,
+    generate_qnn_executorch_compiler_spec,
+)
+
+from executorch.examples.qualcomm.qaihub_scripts.stable_diffusion.stable_diffusion_lib import (
+    StableDiffusion,
+)
+from executorch.examples.qualcomm.qaihub_scripts.utils.utils import (
+    gen_pte_from_ctx_bin,
+    get_encoding,
+)
+from executorch.examples.qualcomm.utils import (
+    setup_common_args_and_variables,
+    SimpleADB,
+)
+from PIL import Image
+from torchvision.transforms import ToTensor
+
+target_names = ("text_encoder", "unet", "vae")
+
+
+def get_quant_data(
+    encoding: dict, data: torch.Tensor, input_model: str, input_index: int
+):
+    scale = encoding[f"{input_model}_input"]["scale"][input_index]
+    offset = encoding[f"{input_model}_input"]["offset"][input_index]
+    if offset < 0:
+        quant_data = data.div(scale).sub(offset).clip(min=0, max=65535).detach()
+    else:
+        quant_data = data.div(scale).add(offset).clip(min=0, max=65535).detach()
+
+    return quant_data.to(dtype=torch.uint16)
+
+
+def get_encodings(
+    path_to_shard_encoder: str,
+    path_to_shard_unet: str,
+    path_to_shard_vae: str,
+    compiler_specs,
+):
+    text_encoder_encoding = get_encoding(
+        path_to_shard=path_to_shard_encoder,
+        compiler_specs=compiler_specs,
+        get_input=False,
+        get_output=True,
+        num_input=1,
+        num_output=1,
+    )
+    unet_encoding = get_encoding(
+        path_to_shard=path_to_shard_unet,
+        compiler_specs=compiler_specs,
+        get_input=True,
+        get_output=True,
+        num_input=3,
+        num_output=1,
+    )
+    vae_encoding = get_encoding(
+        path_to_shard=path_to_shard_vae,
+        compiler_specs=compiler_specs,
+        get_input=True,
+        get_output=True,
+        num_input=1,
+        num_output=1,
+    )
+
+    return (
+        text_encoder_encoding[0],
+        unet_encoding[0],
+        unet_encoding[1],
+        vae_encoding[0],
+        vae_encoding[1],
+    )
+
+
+def get_time_embedding(timestep, time_embedding):
+    timestep = torch.tensor([timestep])
+    t_emb = get_timestep_embedding(timestep, 320, True, 0)
+    emb = time_embedding(t_emb)
+
+    return emb
+
+
+def build_args_parser():
+    parser = setup_common_args_and_variables()
+
+    parser.add_argument(
+        "-a",
+        "--artifact",
+        help="Path for storing generated artifacts by this example. Default ./stable_diffusion_qai_hub",
+        default="./stable_diffusion_qai_hub",
+        type=str,
+    )
+
+    parser.add_argument(
+        "--pte_prefix",
+        help="Prefix of pte files name. Default qaihub_stable_diffusion",
+        default="qaihub_stable_diffusion",
+        type=str,
+    )
+
+    parser.add_argument(
+        "--text_encoder_bin",
+        type=str,
+        default=None,
+        help="[For AI hub ctx binary] Path to Text Encoder.",
+        required=True,
+    )
+
+    parser.add_argument(
+        "--unet_bin",
+        type=str,
+        default=None,
+        help="[For AI hub ctx binary] Path to UNet.",
+        required=True,
+    )
+
+    parser.add_argument(
+        "--vae_bin",
+        type=str,
+        default=None,
+        help="[For AI hub ctx binary] Path to Vae Decoder.",
+        required=True,
+    )
+
+    parser.add_argument(
+        "--prompt",
+        default="a photo of an astronaut riding a horse on mars",
+        type=str,
+        help="Prompt to generate image from.",
+    )
+
+    parser.add_argument(
+        "--num_time_steps",
+        default=20,
+        type=int,
+        help="The number of diffusion time steps.",
+    )
+
+    parser.add_argument(
+        "--guidance_scale",
+        type=float,
+        default=7.5,
+        help="Strength of guidance (higher means more influence from prompt).",
+    )
+
+    parser.add_argument(
+        "--vocab_json",
+        type=str,
+        help="Path to tokenizer vocab.json file. Can get vocab.json under https://huggingface.co/openai/clip-vit-base-patch32/tree/main",
+        required=True,
+    )
+
+    parser.add_argument(
+        "--pre_gen_pte",
+        help="folder path to pre-compiled ptes",
+        default=None,
+        type=str,
+    )
+
+    parser.add_argument(
+        "--fix_latents",
+        help="Enable this option to fix the latents in the unet diffuse step.",
+        action="store_true",
+    )
+
+    return parser
+
+
+def broadcast_ut_result(output_image, seed):
+    sd = StableDiffusion(seed)
+    to_tensor = ToTensor()
+    target = sd(args.prompt, 512, 512, args.num_time_steps)
+    target = to_tensor(target).unsqueeze(0)
+    output_tensor = to_tensor(
+        Image.fromarray(np.round(output_image[0] * 255).astype(np.uint8)[0])
+    ).unsqueeze(0)
+
+    psnr_piq = piq.psnr(target, output_tensor)
+    ssim_piq = piq.ssim(target, output_tensor)
+    print(f"PSNR: {round(psnr_piq.item(), 3)}, SSIM: {round(ssim_piq.item(), 3)}")
+    if args.ip and args.port != -1:
+        with Client((args.ip, args.port)) as conn:
+            conn.send(json.dumps({"PSNR": psnr_piq.item(), "SSIM": ssim_piq.item()}))
+
+
+def save_result(output_image):
+    img = Image.fromarray(np.round(output_image[0] * 255).astype(np.uint8)[0])
+    save_path = f"{args.artifact}/outputs/output_image.jpg"
+    img.save(save_path)
+    print(f"Output image saved at {save_path}")
+
+
+def inference(args, compiler_specs, pte_files):
+    # Loading a pretrained EulerDiscreteScheduler from the https://huggingface.co/stabilityai/stable-diffusion-2-1-base.
+    scheduler = EulerDiscreteScheduler.from_pretrained(
+        "stabilityai/stable-diffusion-2-1-base", subfolder="scheduler", revision="main"
+    )
+
+    #  Loading a pretrained UNet2DConditionModel (which includes the time embedding) from the https://huggingface.co/stabilityai/stable-diffusion-2-1-base.
+    time_embedding = UNet2DConditionModel.from_pretrained(
+        "stabilityai/stable-diffusion-2-1-base", subfolder="unet", revision="main"
+    ).time_embedding
+
+    scheduler.set_timesteps(args.num_time_steps)
+    scheduler.config.prediction_type = "epsilon"
+    # Get encoding of unet and vae
+    (
+        encoder_output,
+        unet_input,
+        unet_output,
+        vae_input,
+        vae_output,
+    ) = get_encodings(
+        args.text_encoder_bin,
+        args.unet_bin,
+        args.vae_bin,
+        compiler_specs,
+    )
+    encoding = {
+        "encoder_output": encoder_output,
+        "unet_input": unet_input,
+        "unet_output": unet_output,
+        "vae_input": vae_input,
+        "vae_output": vae_output,
+    }
+
+    adb = SimpleADB(
+        qnn_sdk=os.getenv("QNN_SDK_ROOT"),
+        build_path=args.build_folder,
+        pte_path=pte_files,
+        workspace=f"/data/local/tmp/executorch/{args.pte_prefix}",
+        device_id=args.device,
+        host_id=args.host,
+        soc_model=args.model,
+        runner="examples/qualcomm/qaihub_scripts/stable_diffusion/qaihub_stable_diffusion_runner",
+    )
+
+    input_unet = ()
+    input_list_unet = ""
+
+    for i, t in enumerate(scheduler.timesteps):
+        time_emb = get_quant_data(
+            encoding, get_time_embedding(t, time_embedding), "unet", 1
+        )
+        input_list_unet += f"input_{i}_0.raw\n"
+        input_unet = input_unet + (time_emb,)
+
+    qnn_executor_runner_args = [
+        f"--text_encoder_path {adb.workspace}/{args.pte_prefix}_text_encoder.pte",
+        f"--unet_path {adb.workspace}/{args.pte_prefix}_unet.pte",
+        f"--vae_path {adb.workspace}/{args.pte_prefix}_vae.pte",
+        f"--input_list_path {adb.workspace}/input_list.txt",
+        f"--output_folder_path {adb.output_folder}",
+        f'--prompt "{args.prompt}"',
+        f"--guidance_scale {args.guidance_scale}",
+        f"--num_time_steps {args.num_time_steps}",
+        f"--vocab_json {adb.workspace}/vocab.json",
+    ]
+    if args.fix_latents:
+        qnn_executor_runner_args.append("--fix_latents")
+
+    text_encoder_output_scale = encoding["encoder_output"]["scale"][0]
+    text_encoder_output_offset = encoding["encoder_output"]["offset"][0]
+    unet_input_latent_scale = encoding["unet_input"]["scale"][0]
+    unet_input_latent_offset = encoding["unet_input"]["offset"][0]
+    unet_input_text_emb_scale = encoding["unet_input"]["scale"][2]
+    unet_input_text_emb_offset = encoding["unet_input"]["offset"][2]
+    unet_output_scale = encoding["unet_output"]["scale"][0]
+    unet_output_offset = encoding["unet_output"]["offset"][0]
+    vae_input_scale = encoding["vae_input"]["scale"][0]
+    vae_input_offset = encoding["vae_input"]["offset"][0]
+    vae_output_scale = encoding["vae_output"]["scale"][0]
+    vae_output_offset = encoding["vae_output"]["offset"][0]
+
+    qnn_executor_runner_args = qnn_executor_runner_args + [
+        f"--text_encoder_output_scale {text_encoder_output_scale}",
+        f"--text_encoder_output_offset {text_encoder_output_offset}",
+        f"--unet_input_latent_scale {unet_input_latent_scale}",
+        f"--unet_input_latent_offset {unet_input_latent_offset}",
+        f"--unet_input_text_emb_scale {unet_input_text_emb_scale}",
+        f"--unet_input_text_emb_offset {unet_input_text_emb_offset}",
+        f"--unet_output_scale {unet_output_scale}",
+        f"--unet_output_offset {unet_output_offset}",
+        f"--vae_input_scale {vae_input_scale}",
+        f"--vae_input_offset {vae_input_offset}",
+        f"--vae_output_scale {vae_output_scale}",
+        f"--vae_output_offset {vae_output_offset}",
+    ]
+
+    qnn_executor_runner_args = " ".join(
+        [
+            f"cd {adb.workspace} &&",
+            f"./qaihub_stable_diffusion_runner {' '.join(qnn_executor_runner_args)}",
+        ]
+    )
+
+    files = [args.vocab_json]
+
+    if args.fix_latents:
+        seed = 42
+        latents = torch.randn((1, 4, 64, 64), generator=torch.manual_seed(seed)).to(
+            "cpu"
+        )
+        # We need to explicitly permute after init tensor or else the random value will be different
+        latents = latents.permute(0, 2, 3, 1).contiguous()
+        latents = latents * scheduler.init_noise_sigma
+        flattened_tensor = latents.view(-1)
+        # Save the flattened tensor to a .raw file
+        with open(os.path.join(args.artifact, "latents.raw"), "wb") as file:
+            file.write(flattened_tensor.numpy().tobytes())
+        files.append(os.path.join(args.artifact, "latents.raw"))
+
+    if not args.skip_push:
+        adb.push(inputs=input_unet, input_list=input_list_unet, files=files)
+    adb.execute(custom_runner_cmd=qnn_executor_runner_args)
+
+    output_image = []
+
+    def post_process_vae():
+        with open(f"{args.artifact}/outputs/output_0_0.raw", "rb") as f:
+            output_image.append(
+                np.fromfile(f, dtype=np.float32).reshape(1, 512, 512, 3)
+            )
+
+    adb.pull(output_path=args.artifact, callback=post_process_vae)
+
+    if args.fix_latents:
+        broadcast_ut_result(output_image, seed)
+    else:
+        save_result(output_image)
+
+
+def main(args):
+    os.makedirs(args.artifact, exist_ok=True)
+
+    # common part for compile & inference
+    backend_options = generate_htp_compiler_spec(
+        use_fp16=False,
+        use_multi_contexts=True,
+    )
+    compiler_specs = generate_qnn_executorch_compiler_spec(
+        soc_model=getattr(QcomChipset, args.model),
+        backend_options=backend_options,
+        is_from_context_binary=True,
+    )
+
+    if args.pre_gen_pte is None:
+        # Create custom operators as context loader
+        bundle_programs = [
+            from_context_binary(args.text_encoder_bin, "ctx_loader_0"),
+            from_context_binary(args.unet_bin, "ctx_loader_1"),
+            from_context_binary(args.vae_bin, "ctx_loader_2"),
+        ]
+        pte_names = [f"{args.pte_prefix}_{target_name}" for target_name in target_names]
+        pte_files = gen_pte_from_ctx_bin(
+            args.artifact, pte_names, compiler_specs, bundle_programs
+        )
+        assert (
+            len(pte_files) == 3
+        ), f"Error: Expected 3 PTE files, but got {len(pte_files)} files."
+
+    else:
+        pte_files = [
+            f"{args.pre_gen_pte}/{args.pte_prefix}_{target_name}.pte"
+            for target_name in target_names
+        ]
+    if args.compile_only:
+        return
+
+    inference(args, compiler_specs, pte_files)
+
+
+if __name__ == "__main__":  # noqa: C901
+    parser = build_args_parser()
+    args = parser.parse_args()
+
+    try:
+        main(args)
+    except Exception as e:
+        if args.ip and args.port != -1:
+            with Client((args.ip, args.port)) as conn:
+                conn.send(json.dumps({"Error": str(e)}))
+        else:
+            raise Exception(e)
diff --git a/examples/qualcomm/qaihub_scripts/stable_diffusion/qaihub_stable_diffusion_runner.cpp b/examples/qualcomm/qaihub_scripts/stable_diffusion/qaihub_stable_diffusion_runner.cpp
new file mode 100644
index 0000000000..9c15ceadf8
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/stable_diffusion/qaihub_stable_diffusion_runner.cpp
@@ -0,0 +1,141 @@
+/*
+ * Copyright (c) Qualcomm Innovation Center, Inc.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/examples/qualcomm/qaihub_scripts/stable_diffusion/runner/runner.h>
+#include <executorch/runtime/platform/runtime.h>
+#include <gflags/gflags.h>
+
+DEFINE_string(
+    text_encoder_path,
+    "qaihub_stable_diffusion_text_encoder.pte",
+    "Text Encoder Model serialized in flatbuffer format.");
+DEFINE_string(
+    unet_path,
+    "qaihub_stable_diffusion_unet.pte",
+    "Unet Model serialized in flatbuffer format.");
+DEFINE_string(
+    vae_path,
+    "qaihub_stable_diffusion_vae.pte",
+    "Vae Model serialized in flatbuffer format.");
+DEFINE_string(
+    output_folder_path,
+    "outputs",
+    "Executorch inference data output path.");
+DEFINE_string(
+    input_list_path,
+    "input_list.txt",
+    "Input list storing time embedding.");
+DEFINE_string(
+    vocab_json,
+    "vocab.json",
+    "Json path to retrieve a list of vocabs.");
+DEFINE_string(
+    prompt,
+    "a photo of an astronaut riding a horse on mars",
+    "User input prompt");
+DEFINE_int32(num_time_steps, 20, "Number of time steps.");
+DEFINE_double(guidance_scale, 7.5, "Guidance Scale");
+
+DEFINE_double(text_encoder_output_scale, 0.0, "Text encoder output scale");
+DEFINE_int32(text_encoder_output_offset, 0, "Text encoder output offset");
+DEFINE_double(unet_input_latent_scale, 0.0, "Unet input latent scale");
+DEFINE_int32(unet_input_latent_offset, 0, "Unet input latent offset");
+DEFINE_double(unet_input_text_emb_scale, 0.0, "Unet input text emb scale");
+DEFINE_int32(unet_input_text_emb_offset, 0, "Unet input text emb offset");
+DEFINE_double(unet_output_scale, 0.0, "Unet output scale");
+DEFINE_int32(unet_output_offset, 0, "Unet output offset");
+DEFINE_double(vae_input_scale, 0.0, "Vae input scale");
+DEFINE_int32(vae_input_offset, 0, "Vae input offset");
+DEFINE_double(vae_output_scale, 0.0, "Vae output scale");
+DEFINE_int32(vae_output_offset, 0, "Vae output offset");
+DEFINE_bool(
+    fix_latents,
+    false,
+    "Enable this option to fix the latents in the unet diffuse step.");
+
+void usage_message() {
+  std::string usage_message =
+      "This is a sample executor runner capable of executing stable diffusion models."
+      "Users will need binary .pte program files for text_encoder, unet, and vae. Below are the options to retrieve required .pte program files:\n"
+      "For further information on how to generate the .pte program files and example command to execute this runner, please refer to qaihub_stable_diffsion.py.";
+  gflags::SetUsageMessage(usage_message);
+}
+
+using executorch::runtime::Error;
+
+int main(int argc, char** argv) {
+  executorch::runtime::runtime_init();
+  usage_message();
+  gflags::ParseCommandLineFlags(&argc, &argv, true);
+  bool is_default =
+      gflags::GetCommandLineFlagInfoOrDie("text_encoder_output_scale")
+          .is_default ||
+      gflags::GetCommandLineFlagInfoOrDie("text_encoder_output_offset")
+          .is_default ||
+      gflags::GetCommandLineFlagInfoOrDie("unet_input_latent_scale")
+          .is_default ||
+      gflags::GetCommandLineFlagInfoOrDie("unet_input_latent_offset")
+          .is_default ||
+      gflags::GetCommandLineFlagInfoOrDie("unet_input_text_emb_scale")
+          .is_default ||
+      gflags::GetCommandLineFlagInfoOrDie("unet_input_text_emb_offset")
+          .is_default ||
+      gflags::GetCommandLineFlagInfoOrDie("unet_output_scale").is_default ||
+      gflags::GetCommandLineFlagInfoOrDie("unet_output_offset").is_default ||
+      gflags::GetCommandLineFlagInfoOrDie("vae_input_scale").is_default ||
+      gflags::GetCommandLineFlagInfoOrDie("vae_input_offset").is_default ||
+      gflags::GetCommandLineFlagInfoOrDie("vae_output_scale").is_default ||
+      gflags::GetCommandLineFlagInfoOrDie("vae_output_offset").is_default;
+
+  ET_CHECK_MSG(
+      !is_default,
+      "Please provide scale and offset for unet latent input, unet output, and vae input/output."
+      "Please refer to qaihub_stable_diffusion.py if you are unsure how to retrieve these values.");
+
+  ET_LOG(Info, "Stable Diffusion runner started");
+  std::vector<std::string> models_path = {
+      FLAGS_text_encoder_path, FLAGS_unet_path, FLAGS_vae_path};
+
+  // Create stable_diffusion_runner
+  example::Runner runner(
+      models_path,
+      FLAGS_num_time_steps,
+      FLAGS_guidance_scale,
+      FLAGS_text_encoder_output_scale,
+      FLAGS_text_encoder_output_offset,
+      FLAGS_unet_input_latent_scale,
+      FLAGS_unet_input_latent_offset,
+      FLAGS_unet_input_text_emb_scale,
+      FLAGS_unet_input_text_emb_offset,
+      FLAGS_unet_output_scale,
+      FLAGS_unet_output_offset,
+      FLAGS_vae_input_scale,
+      FLAGS_vae_input_offset,
+      FLAGS_vae_output_scale,
+      FLAGS_vae_output_offset,
+      FLAGS_output_folder_path,
+      FLAGS_fix_latents);
+
+  ET_CHECK_MSG(
+      runner.init_tokenizer(FLAGS_vocab_json) == Error::Ok,
+      "Runner failed to init tokenizer");
+
+  ET_CHECK_MSG(runner.load() == Error::Ok, "Runner failed to load method");
+
+  ET_CHECK_MSG(
+      runner.parse_input_list(FLAGS_input_list_path) == Error::Ok,
+      "Failed to parse time embedding input list");
+  ET_CHECK_MSG(
+      runner.generate(FLAGS_prompt) == Error::Ok, "Runner failed to generate");
+
+  ET_CHECK_MSG(
+      runner.print_performance() == Error::Ok,
+      "Runner failed to print performance");
+
+  return 0;
+}
diff --git a/examples/qualcomm/qaihub_scripts/stable_diffusion/runner/runner.cpp b/examples/qualcomm/qaihub_scripts/stable_diffusion/runner/runner.cpp
new file mode 100644
index 0000000000..cc54a80173
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/stable_diffusion/runner/runner.cpp
@@ -0,0 +1,613 @@
+/*
+ * Copyright (c) Qualcomm Innovation Center, Inc.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// A simple stable diffusion runner that includes preprocessing and post
+// processing logic. The module takes in a string as input and emits a tensor as
+// output.
+
+#include <executorch/examples/qualcomm/qaihub_scripts/stable_diffusion/runner/runner.h>
+#include <executorch/extension/llm/runner/util.h>
+#include <executorch/extension/tensor/tensor.h>
+
+#include <ctime>
+#include <fstream>
+#include <random>
+#include <regex>
+
+#include <executorch/runtime/core/exec_aten/exec_aten.h>
+#include <executorch/runtime/platform/log.h>
+
+using executorch::extension::from_blob;
+using executorch::extension::Module;
+using executorch::extension::TensorPtr;
+using executorch::extension::llm::time_in_ms;
+using executorch::runtime::Error;
+using executorch::runtime::MethodMeta;
+using executorch::runtime::Result;
+
+namespace example {
+
+Runner::Runner(
+    const std::vector<std::string>& models_path,
+    const int num_time_steps,
+    const float guidance_scale,
+    const float text_encoder_output_scale,
+    const int text_encoder_output_offset,
+    const float unet_input_latent_scale,
+    const int unet_input_latent_offset,
+    const float unet_input_text_emb_scale,
+    const float unet_input_text_emb_offset,
+    const float unet_output_scale,
+    const int unet_output_offset,
+    const float vae_input_scale,
+    const int vae_input_offset,
+    const float vae_output_scale,
+    const int vae_output_offset,
+    const std::string output_path,
+    const bool fix_latents)
+    : num_time_steps_(num_time_steps),
+      guidance_scale_(guidance_scale),
+      text_encoder_output_scale_(text_encoder_output_scale),
+      text_encoder_output_offset_(text_encoder_output_offset),
+      unet_input_latent_scale_(unet_input_latent_scale),
+      unet_input_latent_offset_(unet_input_latent_offset),
+      unet_input_text_emb_scale_(unet_input_text_emb_scale),
+      unet_input_text_emb_offset_(unet_input_text_emb_offset),
+      unet_output_scale_(unet_output_scale),
+      unet_output_offset_(unet_output_offset),
+      vae_input_scale_(vae_input_scale),
+      vae_input_offset_(vae_input_offset),
+      vae_output_scale_(vae_output_scale),
+      vae_output_offset_(vae_output_offset),
+      output_path_(output_path),
+      fix_latents_(fix_latents) {
+  for (int i = 0; i < models_path.size(); i++) {
+    modules_.push_back(std::make_unique<Module>(
+        models_path[i], Module::LoadMode::MmapUseMlockIgnoreErrors));
+    ET_LOG(Info, "creating module: model_path=%s", models_path[i].c_str());
+  }
+}
+
+std::vector<Result<MethodMeta>> Runner::get_methods_meta() {
+  std::vector<Result<MethodMeta>> methods_meta;
+  for (std::unique_ptr<Module>& module : modules_) {
+    methods_meta.emplace_back(module->method_meta("forward"));
+  }
+  return methods_meta;
+}
+
+bool Runner::is_loaded() const {
+  bool loaded = true;
+  for (const std::unique_ptr<Module>& module : modules_) {
+    loaded &= module->is_loaded();
+  }
+  return loaded;
+}
+
+Error Runner::load() {
+  if (is_loaded()) {
+    return Error::Ok;
+  }
+  stats_.model_load_start_ms = time_in_ms();
+  for (auto& module : modules_) {
+    ET_CHECK_OK_OR_RETURN_ERROR(module->load_method("forward"));
+  }
+  stats_.model_load_end_ms = time_in_ms();
+  return Error::Ok;
+}
+
+Error Runner::parse_input_list(std::string& path) {
+  // Fill in data for input
+  std::ifstream input_list(path);
+  time_emb_list_.reserve(num_time_steps_);
+  ET_CHECK_MSG(input_list.is_open(), "Input list error opening file");
+  std::string time_emb_file;
+  for (int i = 0; i < num_time_steps_; i++) {
+    std::getline(input_list, time_emb_file);
+    std::ifstream is;
+    is.open(time_emb_file, std::ios::binary);
+    is.seekg(0, std::ios::end);
+    size_t filesize = is.tellg();
+    is.seekg(0, std::ios::beg);
+    std::vector<uint16_t> time_emb;
+    time_emb.resize(filesize / sizeof(uint16_t));
+    is.read(reinterpret_cast<char*>(time_emb.data()), filesize);
+    time_emb_list_.push_back(time_emb);
+  }
+  return Error::Ok;
+}
+
+Error Runner::init_tokenizer(const std::string& vocab_json_path) {
+  ET_LOG(Info, "Loading Tokenizer from json");
+  stats_.tokenizer_load_start_ms = time_in_ms();
+  std::ifstream fin(vocab_json_path);
+  auto update_map = [this](std::string& target, std::regex& re) {
+    std::smatch sm;
+    std::regex_search(target, sm, re);
+    // replace special character, please extend this if any cornor case found
+    std::string text = sm[1];
+    std::unordered_map<std::string, std::regex> post_process = {
+        {"\"", std::regex(R"(\\\")")},
+        {" ", std::regex(R"(</w>)")},
+        {"\\", std::regex(R"(\\\\)")}};
+    for (auto& p : post_process) {
+      text = std::regex_replace(text, p.second, p.first);
+    }
+    vocab_to_token_map_[text] = std::stoi(sm[2]);
+  };
+
+  if (fin.is_open()) {
+    std::string line, text;
+    while (getline(fin, line)) {
+      text += line;
+    }
+    fin.close();
+
+    std::regex re_anchor(R"(\d,\")");
+    std::regex re_pattern(R"(\{?\"(.*)\":([\d]+)\}?)");
+    auto begin = std::sregex_iterator(text.begin(), text.end(), re_anchor);
+    auto end = std::sregex_iterator();
+    size_t pos = 0;
+    for (std::sregex_iterator iter = begin; iter != end; ++iter) {
+      std::smatch match;
+      size_t len = iter->position() - pos + 1;
+      std::string target = text.substr(pos, len);
+      update_map(target, re_pattern);
+      pos = iter->position() + 1;
+    }
+    // process last vocabulary
+    std::string target = text.substr(pos);
+    update_map(target, re_pattern);
+  }
+  stats_.tokenizer_load_end_ms = time_in_ms();
+  return Error::Ok;
+}
+
+std::vector<int> Runner::tokenize(std::string prompt) {
+  std::string bos("<|startoftext|>"), eos("<|endoftext|>");
+  std::vector<std::string> vocabs;
+  vocabs.reserve(max_tokens_);
+  std::vector<int32_t> tokens(1, vocab_to_token_map_[bos]);
+
+  // pretokenize
+  // ref: https://github.com/monatis/clip.cpp
+  //      https://huggingface.co/openai/clip-vit-base-patch32
+  std::string text;
+  std::regex re(
+      R"('s|'t|'re|'ve|'m|'ll|'d| ?[[:alpha:]]+| ?[[:digit:]]+| ?[^\s[:alpha:][:digit:]]+|\s+(?!\S)|\s+)");
+  std::smatch sm;
+  while (std::regex_search(prompt, sm, re)) {
+    for (auto& v : sm) {
+      vocabs.push_back(v);
+    }
+    prompt = sm.suffix();
+  }
+  for (std::string& v : vocabs) {
+    std::string word = (v[0] == ' ') ? v.substr(1) : v;
+    word += " ";
+    auto iter = vocab_to_token_map_.find(word);
+    if (iter != vocab_to_token_map_.end()) {
+      tokens.push_back(iter->second);
+      continue;
+    }
+    for (int i = 0; i < v.size(); ++i) {
+      for (int j = v.size() - 1; j >= i; --j) {
+        std::string token = v.substr(i, j - 1 + 1);
+        auto iter = vocab_to_token_map_.find(token);
+        if (iter != vocab_to_token_map_.end()) {
+          tokens.push_back(iter->second);
+          i = j + 1;
+          break;
+        } else if (j == i) {
+          ET_LOG(Error, "unknown token found: %s", token.c_str());
+        }
+      }
+    }
+  }
+  tokens.push_back(vocab_to_token_map_[eos]);
+  return tokens;
+}
+
+std::vector<float> Runner::gen_latent_from_file() {
+  std::vector<float> tensor_vector;
+  std::ifstream file("latents.raw", std::ios::binary);
+  if (!file.is_open()) {
+    ET_LOG(Error, "Error opening file!");
+    return tensor_vector;
+  }
+
+  // Read the tensor data
+  float value;
+  while (file.read(reinterpret_cast<char*>(&value), sizeof(float))) {
+    tensor_vector.push_back(value);
+  }
+  file.close();
+  return tensor_vector;
+}
+
+std::vector<float> Runner::gen_random_latent(float sigma) {
+  std::random_device rnd_device;
+  std::mt19937 mersenne_engine{rnd_device()};
+  std::normal_distribution<float> dist{0.0f, 1.0f};
+
+  constexpr int latent_size = 1 * 64 * 64 * 4;
+  std::vector<float> random_vector(latent_size);
+
+  for (float& value : random_vector) {
+    value = dist(mersenne_engine) * sigma;
+  }
+  return random_vector;
+}
+
+std::vector<float> Runner::get_time_steps() {
+  std::vector<float> time_steps(num_time_steps_);
+  for (int i = 0; i < num_time_steps_; ++i) {
+    time_steps[i] = (num_train_timesteps_ - 1) *
+        (1.0f - static_cast<float>(i) / (num_time_steps_ - 1));
+  }
+  return time_steps;
+}
+
+std::vector<float> Runner::get_sigmas(const std::vector<float>& time_steps) {
+  float start = std::sqrt(beta_start_);
+  float end = std::sqrt(beta_end_);
+  std::vector<float> betas(num_train_timesteps_);
+  float step = (end - start) / (num_train_timesteps_ - 1);
+  for (int i = 0; i < num_train_timesteps_; ++i) {
+    float value = start + i * step;
+    betas[i] = 1 - (value * value);
+  }
+
+  std::vector<float> alphas_cumprod(num_train_timesteps_);
+  float cumprod = 1.0;
+  for (int i = 0; i < num_train_timesteps_; ++i) {
+    cumprod *= betas[i];
+    alphas_cumprod[i] = cumprod;
+  }
+
+  std::vector<float> sigmas(num_train_timesteps_);
+  for (int i = 0; i < num_train_timesteps_; ++i) {
+    sigmas[i] = std::sqrt((1.0 - alphas_cumprod[i]) / alphas_cumprod[i]);
+  }
+
+  std::vector<float> res(time_steps.size());
+  for (size_t i = 0; i < time_steps.size(); ++i) {
+    float index =
+        static_cast<float>(i) * (sigmas.size() - 1) / (time_steps.size() - 1);
+    size_t lower_index = static_cast<size_t>(std::floor(index));
+    size_t upper_index = static_cast<size_t>(std::ceil(index));
+
+    float weight = index - lower_index;
+    res[i] =
+        (1.0 - weight) * sigmas[lower_index] + weight * sigmas[upper_index];
+  }
+  std::reverse(res.begin(), res.end());
+  res.push_back(0);
+
+  return res;
+}
+
+void Runner::scale_model_input(
+    const std::vector<float>& latents,
+    std::vector<float>& latent_model_input,
+    float sigma) {
+  for (int i = 0; i < latents.size(); i++) {
+    latent_model_input[i] = (latents[i] / std::sqrt(sigma * sigma + 1));
+  }
+}
+
+void Runner::quant_tensor(
+    const std::vector<float>& fp_vec,
+    std::vector<uint16_t>& quant_vec,
+    float scale,
+    int offset) {
+  offset = abs(offset);
+  for (int i = 0; i < fp_vec.size(); i++) {
+    quant_vec[i] = static_cast<uint16_t>((fp_vec[i] / scale) + offset);
+  }
+}
+
+void Runner::dequant_tensor(
+    const std::vector<uint16_t>& quant_vec,
+    std::vector<float>& fp_vec,
+    float scale,
+    int offset) {
+  offset = abs(offset);
+  for (int i = 0; i < quant_vec.size(); i++) {
+    fp_vec[i] = (quant_vec[i] - offset) * scale;
+  }
+}
+
+// Using the same algorithm as EulerDiscreteScheduler in python.
+void Runner::step(
+    const std::vector<float>& model_output,
+    const std::vector<float>& sigmas,
+    std::vector<float>& sample,
+    std::vector<float>& prev_sample,
+    int step_index) {
+  float sigma = sigmas[step_index];
+  float dt = sigmas[step_index + 1] - sigma;
+
+  for (int i = 0; i < sample.size(); ++i) {
+    float sigma_hat = sample[i] - (sigma * model_output[i]);
+    prev_sample[i] = (sample[i] - sigma_hat) / sigma;
+    prev_sample[i] = sample[i] + (prev_sample[i] * dt);
+  }
+  sample = prev_sample;
+}
+
+Error Runner::generate(std::string prompt) {
+  ET_LOG(Info, "Start generating");
+  stats_.generate_start_ms = time_in_ms();
+
+  // Start tokenize
+  stats_.tokenizer_parsing_start_ms = time_in_ms();
+  std::vector<int32_t> cond_tokens = tokenize(prompt);
+  cond_tokens.resize(max_tokens_);
+  std::vector<int32_t> uncond_tokens = tokenize("");
+  uncond_tokens.resize(max_tokens_);
+  stats_.tokenizer_parsing_end_ms = time_in_ms();
+
+  std::vector<Result<MethodMeta>> method_metas = get_methods_meta();
+
+  MethodMeta encoder_method_meta = method_metas[0].get();
+  // Initialize text_encoder input tensors: cond/uncond tokenized_input[1,77]
+  auto cond_tokens_tensor = from_blob(
+      cond_tokens.data(),
+      {1, 77},
+      encoder_method_meta.input_tensor_meta(0)->scalar_type());
+  auto uncond_tokens_tensor = from_blob(
+      uncond_tokens.data(),
+      {1, 77},
+      encoder_method_meta.input_tensor_meta(0)->scalar_type());
+  // Initialize text_encoder output tensors: cond/uncond embedding[1, 77, 1024]
+  constexpr int emb_size = 1 * 77 * 1024;
+  std::vector<uint16_t> cond_emb_vec(emb_size);
+  std::vector<uint16_t> uncond_emb_vec(emb_size);
+  std::vector<float> fp_emb_vec(emb_size);
+  auto cond_emb_tensor = from_blob(
+      cond_emb_vec.data(),
+      {1, 77, 1024},
+      encoder_method_meta.output_tensor_meta(0)->scalar_type());
+  auto uncond_emb_tensor = from_blob(
+      uncond_emb_vec.data(),
+      {1, 77, 1024},
+      encoder_method_meta.output_tensor_meta(0)->scalar_type());
+  modules_[0]->set_output(cond_emb_tensor);
+  long encoder_start = time_in_ms();
+  auto cond_res = modules_[0]->forward(cond_tokens_tensor);
+  stats_.text_encoder_execution_time += (time_in_ms() - encoder_start);
+  modules_[0]->set_output(uncond_emb_tensor);
+  encoder_start = time_in_ms();
+  auto uncond_res = modules_[0]->forward(uncond_tokens_tensor);
+  stats_.text_encoder_execution_time += (time_in_ms() - encoder_start);
+
+  // Initialize unet parameters
+  MethodMeta unet_method_meta = method_metas[1].get();
+  std::vector<float> time_steps = get_time_steps();
+  std::vector<float> sigmas = get_sigmas(time_steps);
+  float max_sigma = *std::max_element(sigmas.begin(), sigmas.end());
+  std::vector<float> latent;
+  if (fix_latents_) {
+    latent = gen_latent_from_file();
+  } else {
+    latent = gen_random_latent(max_sigma);
+  }
+  std::vector<float> prev_sample(latent.size());
+
+  // Initialize unet input tensors
+  //  1. latent[1,64,64,4]
+  //  2. time_embedding[1,1280]
+  //  3. cond/uncond embedding[1,77,1024]
+  std::vector<uint16_t> latent_model_input(latent.size());
+  std::vector<float> fp_latent_model_input(latent.size());
+  auto latent_tensor = from_blob(
+      latent_model_input.data(),
+      {1, 64, 64, 4},
+      unet_method_meta.input_tensor_meta(0)->scalar_type());
+  std::vector<TensorPtr> time_emb_tensors;
+  time_emb_tensors.reserve(num_time_steps_);
+  for (auto step_index = 0; step_index < num_time_steps_; step_index++) {
+    time_emb_tensors.emplace_back(from_blob(
+        time_emb_list_[step_index].data(),
+        {1, 1280},
+        unet_method_meta.input_tensor_meta(1)->scalar_type()));
+  }
+  // requantize text encoders output
+  dequant_tensor(
+      cond_emb_vec,
+      fp_emb_vec,
+      text_encoder_output_scale_,
+      text_encoder_output_offset_);
+  quant_tensor(
+      fp_emb_vec,
+      cond_emb_vec,
+      unet_input_text_emb_scale_,
+      unet_input_text_emb_offset_);
+  dequant_tensor(
+      uncond_emb_vec,
+      fp_emb_vec,
+      text_encoder_output_scale_,
+      text_encoder_output_offset_);
+  quant_tensor(
+      fp_emb_vec,
+      uncond_emb_vec,
+      unet_input_text_emb_scale_,
+      unet_input_text_emb_offset_);
+
+  // Initialize unet output tensors: text/uncond noise_pred[1,64,64,4]
+  std::vector<uint16_t> noise_pred_text(latent.size());
+  std::vector<uint16_t> noise_pred_uncond(latent.size());
+  std::vector<float> fp_noise_pred_text(noise_pred_text.size());
+  std::vector<float> fp_noise_pred_uncond(noise_pred_uncond.size());
+  auto noise_pred_text_tensor = from_blob(
+      noise_pred_text.data(),
+      {1, 64, 64, 4},
+      unet_method_meta.output_tensor_meta(0)->scalar_type());
+  auto noise_pred_uncond_tensor = from_blob(
+      noise_pred_uncond.data(),
+      {1, 64, 64, 4},
+      unet_method_meta.output_tensor_meta(0)->scalar_type());
+
+  // Execute unet
+  for (int step_index = 0; step_index < num_time_steps_; step_index++) {
+    long start_post_process = time_in_ms();
+    scale_model_input(latent, fp_latent_model_input, sigmas[step_index]);
+
+    quant_tensor(
+        fp_latent_model_input,
+        latent_model_input,
+        unet_input_latent_scale_,
+        unet_input_latent_offset_);
+
+    stats_.unet_aggregate_post_processing_time +=
+        (time_in_ms() - start_post_process);
+    modules_[1]->set_output(noise_pred_text_tensor);
+    long start_unet_execution = time_in_ms();
+    auto cond_res = modules_[1]->forward(
+        {latent_tensor, time_emb_tensors[step_index], cond_emb_tensor});
+    stats_.unet_aggregate_execution_time +=
+        (time_in_ms() - start_unet_execution);
+    modules_[1]->set_output(noise_pred_uncond_tensor);
+    start_unet_execution = time_in_ms();
+    auto uncond_res = modules_[1]->forward(
+        {latent_tensor,
+         time_emb_tensors[step_index],
+         uncond_emb_tensor}); // results in noise_pred_uncond_vec
+    stats_.unet_aggregate_execution_time +=
+        (time_in_ms() - start_unet_execution);
+
+    // start unet post processing
+    start_post_process = time_in_ms();
+
+    dequant_tensor(
+        noise_pred_text,
+        fp_noise_pred_text,
+        unet_output_scale_,
+        unet_output_offset_);
+    dequant_tensor(
+        noise_pred_uncond,
+        fp_noise_pred_uncond,
+        unet_output_scale_,
+        unet_output_offset_);
+
+    for (int i = 0; i < fp_noise_pred_text.size(); i++) {
+      fp_noise_pred_text[i] = fp_noise_pred_uncond[i] +
+          guidance_scale_ * (fp_noise_pred_text[i] - fp_noise_pred_uncond[i]);
+    }
+    step(fp_noise_pred_text, sigmas, latent, prev_sample, step_index);
+    stats_.unet_aggregate_post_processing_time +=
+        (time_in_ms() - start_post_process);
+  }
+
+  // Start VAE
+  MethodMeta vae_method_meta = method_metas[2].get();
+  // Initialize vae input tensor : latent[1,64,64,4]
+  std::vector<uint16_t> vae_input(latent.size());
+  auto vae_input_tensor = from_blob(
+      vae_input.data(),
+      {1, 64, 64, 4},
+      vae_method_meta.input_tensor_meta(0)->scalar_type());
+  // Intialize vae output tensor: output[1,512,512,3]
+  constexpr int image_size = 1 * 512 * 512 * 3;
+  std::vector<uint16_t> q_out(image_size);
+  std::vector<float> out(image_size);
+  auto output_tensor = from_blob(
+      q_out.data(),
+      {1, 512, 512, 3},
+      vae_method_meta.output_tensor_meta(0)->scalar_type());
+
+  quant_tensor(latent, vae_input, vae_input_scale_, vae_input_offset_);
+
+  modules_[2]->set_output(output_tensor);
+  long start_vae_execution = time_in_ms();
+  auto vae_res = modules_[2]->forward(vae_input_tensor);
+  stats_.vae_execution_time = (time_in_ms() - start_vae_execution);
+  stats_.generate_end_ms = time_in_ms();
+
+  // Dequant uint16 output to fp32 output
+  dequant_tensor(q_out, out, vae_output_scale_, vae_output_offset_);
+
+  // Saving outputs
+  auto output_file_name = output_path_ + "/output_0_0.raw";
+  std::ofstream fout(output_file_name.c_str(), std::ios::binary);
+  fout.write(
+      reinterpret_cast<const char*>(out.data()), out.size() * sizeof(float));
+  fout.close();
+
+  return Error::Ok;
+}
+
+Error Runner::print_performance() {
+  ET_LOG(Info, "\tTotal Number of steps:\t\t\t\t%d", num_time_steps_);
+
+  ET_LOG(
+      Info,
+      "\tTokenizer Load Time:\t\t\t\t%f (seconds)",
+      ((double)(stats_.tokenizer_load_end_ms - stats_.tokenizer_load_start_ms) /
+       stats_.SCALING_FACTOR_UNITS_PER_SECOND));
+
+  ET_LOG(
+      Info,
+      "\tModel Load Time:\t\t\t\t%f (seconds)",
+      ((double)(stats_.model_load_end_ms - stats_.model_load_start_ms) /
+       stats_.SCALING_FACTOR_UNITS_PER_SECOND));
+
+  ET_LOG(
+      Info,
+      "\tGenerate Time(Tokenize + Encoder + UNet + VAE):\t%f (seconds)",
+      ((double)(stats_.generate_end_ms - stats_.generate_start_ms) /
+       stats_.SCALING_FACTOR_UNITS_PER_SECOND));
+
+  ET_LOG(
+      Info,
+      "\tTokenize Time:\t\t\t\t\t%f (seconds)",
+      ((double)(stats_.tokenizer_parsing_end_ms -
+                stats_.tokenizer_parsing_start_ms) /
+       stats_.SCALING_FACTOR_UNITS_PER_SECOND));
+
+  ET_LOG(
+      Info,
+      "\tText Encoder Execution Time:\t\t\t%f (seconds)",
+      ((double)(stats_.text_encoder_execution_time) /
+       stats_.SCALING_FACTOR_UNITS_PER_SECOND));
+
+  ET_LOG(
+      Info,
+      "\tUnet Aggregate (Cond + Uncond) Execution Time:\t%f (seconds)",
+      ((double)stats_.unet_aggregate_execution_time /
+       (stats_.SCALING_FACTOR_UNITS_PER_SECOND)));
+
+  ET_LOG(
+      Info,
+      "\tUnet Average Execution Time:\t\t\t%f (seconds)",
+      ((double)(stats_.unet_aggregate_execution_time / (num_time_steps_ * 2)) /
+       (stats_.SCALING_FACTOR_UNITS_PER_SECOND)));
+
+  ET_LOG(
+      Info,
+      "\tUnet Aggregate Post-Processing Time:\t\t%f (seconds)",
+      ((double)(stats_.unet_aggregate_post_processing_time) /
+       stats_.SCALING_FACTOR_UNITS_PER_SECOND));
+
+  ET_LOG(
+      Info,
+      "\tUnet Average Post-Processing Time:\t\t%f (seconds)",
+      ((double)(stats_.unet_aggregate_post_processing_time /
+                (num_time_steps_ * 2)) /
+       (stats_.SCALING_FACTOR_UNITS_PER_SECOND)));
+
+  ET_LOG(
+      Info,
+      "\tVAE Execution Time:\t\t\t\t%f (seconds)",
+      ((double)(stats_.vae_execution_time) /
+       stats_.SCALING_FACTOR_UNITS_PER_SECOND));
+  return Error::Ok;
+}
+
+} // namespace example
diff --git a/examples/qualcomm/qaihub_scripts/stable_diffusion/runner/runner.h b/examples/qualcomm/qaihub_scripts/stable_diffusion/runner/runner.h
new file mode 100644
index 0000000000..f91efd5b83
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/stable_diffusion/runner/runner.h
@@ -0,0 +1,140 @@
+/*
+ * Copyright (c) Qualcomm Innovation Center, Inc.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// A simple diffusion runner that includes preprocessing and post processing
+// logic. The module takes in a string as input and emites a tensor as output.
+
+#pragma once
+
+#include <string>
+#include <unordered_map>
+#include <vector>
+
+#include <executorch/extension/module/module.h>
+
+namespace example {
+
+class Runner {
+ public:
+  explicit Runner(
+      const std::vector<std::string>& models_path,
+      const int num_time_steps,
+      const float guidance_scale,
+      const float text_encoder_output_scale,
+      const int text_encoder_output_offset,
+      const float unet_input_latent_scale,
+      const int unet_input_latent_offset,
+      const float unet_input_text_emb_scale,
+      const float unet_input_text_emb_offset,
+      const float unet_output_scale,
+      const int unet_output_offset,
+      const float vae_input_scale,
+      const int vae_input_offset,
+      const float vae_output_scale,
+      const int vae_output_offset,
+      const std::string output_path,
+      const bool fix_latents);
+
+  struct Stats {
+    // Scaling factor for timestamps - in this case, we use ms.
+    const long SCALING_FACTOR_UNITS_PER_SECOND = 1000;
+    // Time stamps for the different stages of the execution
+    // model_load_start_ms: Model loading time
+    long model_load_start_ms;
+    long model_load_end_ms;
+
+    // tokenizer loading time
+    long tokenizer_load_start_ms = 0;
+    long tokenizer_load_end_ms = 0;
+
+    // tokenizer parsing time
+    long tokenizer_parsing_start_ms = 0;
+    long tokenizer_parsing_end_ms = 0;
+
+    // Total time to run generate
+    long generate_start_ms = 0;
+    long generate_end_ms = 0;
+
+    // text encoder execution time
+    long text_encoder_execution_time = 0;
+
+    // Unet aggregation execution time over n steps for cond + uncond
+    long unet_aggregate_execution_time = 0;
+
+    // UNet aggregation post processing time over n steps for cond + uncond.
+    // This is the time from processing unet's output until feeding it into the
+    // next iteration.
+    long unet_aggregate_post_processing_time = 0;
+
+    // VAE execution time
+    long vae_execution_time = 0;
+  };
+
+  bool is_loaded() const;
+  executorch::runtime::Error load();
+  executorch::runtime::Error init_tokenizer(const std::string& vocab_json_path);
+  executorch::runtime::Error print_performance();
+  std::vector<int> tokenize(std::string prompt);
+  std::vector<float> gen_latent_from_file();
+  std::vector<float> gen_random_latent(float sigma);
+  void step(
+      const std::vector<float>& model_output,
+      const std::vector<float>& sigmas,
+      std::vector<float>& sample,
+      std::vector<float>& prev_sample,
+      int step_index);
+  std::vector<executorch::runtime::Result<executorch::runtime::MethodMeta>>
+  get_methods_meta();
+  std::vector<float> get_time_steps();
+  std::vector<float> get_sigmas(const std::vector<float>& time_steps);
+  void scale_model_input(
+      const std::vector<float>& vec,
+      std::vector<float>& latent_model_input,
+      float sigma);
+  executorch::runtime::Error parse_input_list(std::string& path);
+  executorch::runtime::Error generate(std::string prompt);
+  void quant_tensor(
+      const std::vector<float>& fp_vec,
+      std::vector<uint16_t>& quant_vec,
+      float scale,
+      int offset);
+  void dequant_tensor(
+      const std::vector<uint16_t>& quant_vec,
+      std::vector<float>& fp_vec,
+      float scale,
+      int offset);
+
+ private:
+  Stats stats_;
+  std::vector<std::unique_ptr<executorch::extension::Module>> modules_;
+  std::vector<std::vector<uint16_t>> time_emb_list_;
+  std::unordered_map<std::string, int32_t> vocab_to_token_map_;
+
+  std::string output_path_;
+  int num_time_steps_;
+  float guidance_scale_;
+  float text_encoder_output_scale_;
+  int text_encoder_output_offset_;
+  float unet_input_latent_scale_;
+  int unet_input_latent_offset_;
+  float unet_input_text_emb_scale_;
+  int unet_input_text_emb_offset_;
+  float unet_output_scale_;
+  int unet_output_offset_;
+  float vae_input_scale_;
+  int vae_input_offset_;
+  float vae_output_scale_;
+  int vae_output_offset_;
+  const float beta_start_ = 0.00085;
+  const float beta_end_ = 0.012;
+  const int num_train_timesteps_ = 1000;
+  const int max_tokens_ = 77;
+  const bool fix_latents_ = false;
+};
+
+} // namespace example
diff --git a/examples/qualcomm/qaihub_scripts/stable_diffusion/stable_diffusion_lib.py b/examples/qualcomm/qaihub_scripts/stable_diffusion/stable_diffusion_lib.py
new file mode 100644
index 0000000000..8ec5783131
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/stable_diffusion/stable_diffusion_lib.py
@@ -0,0 +1,22 @@
+import torch
+from diffusers import EulerDiscreteScheduler, StableDiffusionPipeline
+
+
+class StableDiffusion:
+    def __init__(self, seed=42):
+        self.model_id: str = "stabilityai/stable-diffusion-2-1-base"
+        self.generator = torch.manual_seed(seed)
+        self.scheduler = EulerDiscreteScheduler.from_pretrained(
+            self.model_id, subfolder="scheduler"
+        )
+
+        self.pipe = StableDiffusionPipeline.from_pretrained(
+            self.model_id, scheduler=self.scheduler, torch_dtype=torch.float32
+        )
+        self.pipe = self.pipe.to("cpu")
+
+    def __call__(self, prompt, height, width, num_time_steps):
+        image = self.pipe(
+            prompt, height, width, num_time_steps, generator=self.generator
+        ).images[0]
+        return image
diff --git a/examples/qualcomm/qaihub_scripts/utils/README.md b/examples/qualcomm/qaihub_scripts/utils/README.md
new file mode 100644
index 0000000000..61f465f392
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/utils/README.md
@@ -0,0 +1,102 @@
+# CLI Tool for Compile / Deploy Pre-Built QNN Artifacts
+
+An easy-to-use tool for generating / executing .pte program from pre-built model libraries / context binaries from Qualcomm AI Engine Direct. Tool is verified with [host environement](../../../../docs/source/build-run-qualcomm-ai-engine-direct-backend.md#host-os).
+
+## Description
+
+This tool aims for users who want to leverage ExecuTorch runtime framework with their existent artifacts generated by QNN. It's possible for them to produce .pte program in few steps.<br/>
+If users are interested in well-known applications, [Qualcomm AI HUB](https://aihub.qualcomm.com/) is a great approach which provides tons of optimized state-of-the-art models ready for deploying. All of them could be downloaded in model library or context binary format.
+
+* Model libraries(.so) came from `qnn-model-lib-generator` | AI HUB, or context binaries(.bin) came from `qnn-context-binary-generator` | AI HUB, could apply tool directly with:
+  - To produce .pte program:
+    ```bash
+    $ python export.py compile
+    ```
+  - To perform inference with generated .pte program:
+    ```bash
+    $ python export.py execute
+    ```
+
+### Dependencies
+
+* Register for Qualcomm AI HUB.
+* Download the corresponding QNN SDK via [link](https://www.qualcomm.com/developer/software/qualcomm-ai-engine-direct-sdk) which your favorite model is compiled with. Ths link will automatically download the latest version at this moment (users should be able to specify version soon, please refer to [this](../../../../docs/source/build-run-qualcomm-ai-engine-direct-backend.md#software) for earlier releases).
+
+### Target Model
+
+* Consider using [virtual environment](https://app.aihub.qualcomm.com/docs/hub/getting_started.html) for AI HUB scripts to prevent package conflict against ExecuTorch. Please finish the [installation section](https://app.aihub.qualcomm.com/docs/hub/getting_started.html#installation) before proceeding following steps.
+* Take [QuickSRNetLarge-Quantized](https://aihub.qualcomm.com/models/quicksrnetlarge_quantized?searchTerm=quantized) as an example, please [install](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized#installation) package as instructed.
+* Create workspace and export pre-built model library:
+  ```bash
+  mkdir $MY_WS && cd $MY_WS
+  # target chipset is `SM8650`
+  python -m qai_hub_models.models.quicksrnetlarge_quantized.export --target-runtime qnn --chipset qualcomm-snapdragon-8gen3
+  ```
+* The compiled model library will be located under `$MY_WS/build/quicksrnetlarge_quantized/quicksrnetlarge_quantized.so`. This model library maps to the artifacts generated by SDK tools mentioned in `Integration workflow` section on [Qualcomm AI Engine Direct document](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/overview.html).
+
+### Compiling Program
+
+* Compile .pte program
+  ```bash
+  # `pip install pydot` if package is missing
+  # Note that device serial & hostname might not be required if given artifacts is in context binary format
+  PYTHONPATH=$EXECUTORCH_ROOT/.. python $EXECUTORCH_ROOT/examples/qualcomm/qaihub_scripts/utils/export.py compile -a $MY_WS/build/quicksrnetlarge_quantized/quicksrnetlarge_quantized.so -m SM8650 -s $DEVICE_SERIAL -b $EXECUTORCH_ROOT/build-android
+  ```
+* Artifacts for checking IO information
+  - `output_pte/quicksrnetlarge_quantized/quicksrnetlarge_quantized.json`
+  - `output_pte/quicksrnetlarge_quantized/quicksrnetlarge_quantized.svg`
+
+### Executing Program
+
+* Prepare test image
+  ```bash
+  cd $MY_WS
+  wget https://user-images.githubusercontent.com/12981474/40157448-eff91f06-5953-11e8-9a37-f6b5693fa03f.png -O baboon.png
+  ```
+  Execute following python script to generate input data:
+  ```python
+  import torch
+  import torchvision.transforms as transforms
+  from PIL import Image
+  img = Image.open('baboon.png').resize((128, 128))
+  transform = transforms.Compose([transforms.PILToTensor()])
+  # convert (C, H, W) to (N, H, W, C)
+  # IO tensor info. could be checked with quicksrnetlarge_quantized.json | .svg
+  img = transform(img).permute(1, 2, 0).unsqueeze(0)
+  torch.save(img, 'baboon.pt')
+  ```
+* Execute .pte program
+  ```bash
+  PYTHONPATH=$EXECUTORCH_ROOT/.. python $EXECUTORCH_ROOT/examples/qualcomm/qaihub_scripts/utils/export.py execute -p output_pte/quicksrnetlarge_quantized -i baboon.pt -s $DEVICE_SERIAL -b $EXECUTORCH_ROOT/build-android
+  ```
+* Post-process generated data
+  ```bash
+  cd output_data
+  ```
+  Execute following python script to generate output image:
+  ```python
+  import io
+  import torch
+  import torchvision.transforms as transforms
+  # IO tensor info. could be checked with quicksrnetlarge_quantized.json | .svg
+  # generally we would have same layout for input / output tensors: e.g. either NHWC or NCHW
+  # this might not be true under different converter configurations
+  # learn more with converter tool from Qualcomm AI Engine Direct documentation
+  # https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/tools.html#model-conversion
+  with open('output__142.pt', 'rb') as f:
+      buffer = io.BytesIO(f.read())
+  img = torch.load(buffer, weights_only=False)
+  transform = transforms.Compose([transforms.ToPILImage()])
+  img_pil = transform(img.squeeze(0))
+  img_pil.save('baboon_upscaled.png')
+  ```
+  You could check the upscaled result now!
+
+## Help
+
+Please check help messages for more information:
+```bash
+PYTHONPATH=$EXECUTORCH_ROOT/.. python $EXECUTORCH_ROOT/examples/qualcomm/aihub/utils/export.py -h
+PYTHONPATH=$EXECUTORCH_ROOT/.. python $EXECUTORCH_ROOT/examples/qualcomm/aihub/utils/python export.py compile -h
+PYTHONPATH=$EXECUTORCH_ROOT/.. python $EXECUTORCH_ROOT/examples/qualcomm/aihub/utils/python export.py execute -h
+```
diff --git a/examples/qualcomm/qaihub_scripts/utils/export.py b/examples/qualcomm/qaihub_scripts/utils/export.py
new file mode 100644
index 0000000000..b742f59f1d
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/utils/export.py
@@ -0,0 +1,504 @@
+# Copyright (c) Qualcomm Innovation Center, Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import argparse
+import io
+import json
+import logging
+import os
+from pathlib import Path
+
+import executorch.backends.qualcomm.python.PyQnnManagerAdaptor as PyQnnManagerAdaptor
+import numpy as np
+
+import torch
+from executorch.backends.qualcomm.serialization.qnn_compile_spec_schema import (
+    QcomChipset,
+)
+from executorch.backends.qualcomm.utils.utils import (
+    draw_graph,
+    from_context_binary,
+    generate_htp_compiler_spec,
+    generate_qnn_executorch_compiler_spec,
+    generate_qnn_executorch_option,
+)
+from executorch.examples.qualcomm.utils import make_output_dir, SimpleADB
+from executorch.exir.backend.backend_api import to_backend
+from executorch.exir.passes.memory_planning_pass import MemoryPlanningPass
+
+
+def get_logger():
+    logger = logging.getLogger("aihub.utils.export")
+    handler = logging.StreamHandler()
+    handler.setFormatter(
+        logging.Formatter(
+            fmt="[%(asctime)s %(prefix)s] %(levelname)-8s: %(message)s",
+            datefmt="%Y-%m-%d %H:%M:%S",
+        )
+    )
+    logger.addHandler(handler)
+    logger.setLevel(logging.INFO)
+    logger.propagate = False
+    return logging.LoggerAdapter(logger, extra={"prefix": "UTILS.EXPORT"})
+
+
+def get_io_info(prog_info, ctx_bin_path, compiler_spec):
+    def fill_tensor_info(info, qnn_tensors, category):
+        # fetch related IO info stored in prog_info
+        for i, (name, tensor) in enumerate(prog_info[category].items()):
+            assert qnn_tensors[i].GetName() == name, "tensor name unmatch"
+            encoding = qnn_tensors[i].GetEncodings()
+            quantization_info = {
+                "scale": encoding.data["scale"].tolist(),
+                "offset": encoding.data["offset"].tolist(),
+                "axis": encoding.axis,
+            }
+            info[category].append(
+                {
+                    "name": name,
+                    "shape": tuple(tensor.shape),
+                    "dtype": str(tensor.dtype),
+                    "encoding": quantization_info,
+                }
+            )
+
+    # dictionary to be serialized into json format
+    in_key, out_key = "inputs", "outputs"
+    tensor_info = {in_key: [], out_key: []}
+
+    with open(ctx_bin_path, "rb") as f:
+        ctx_bin = f.read()
+        # leverage QNN pybind interface to retrieve tensor encodings
+        qnn_mgr = PyQnnManagerAdaptor.QnnManager(
+            generate_qnn_executorch_option(compiler_spec), ctx_bin
+        )
+        assert qnn_mgr.Init().value == 0, "failed to load context binary"
+        qnn_mgr.AllocateTensor()
+        fill_tensor_info(tensor_info, qnn_mgr.GetGraphInputs(), in_key)
+        fill_tensor_info(tensor_info, qnn_mgr.GetGraphOutputs(), out_key)
+        qnn_mgr.Destroy()
+
+    return tensor_info
+
+
+def get_ones_tensor(tensor_info, logger):
+    logger.warning(
+        f"tensor '{tensor_info['name']}' use ones tensor, "
+        "unexpected outputs might generate"
+    )
+    return torch.ones(tensor_info["shape"], dtype=eval(tensor_info["dtype"]))
+
+
+def get_tensor_with_encoding(tensor, tensor_info, logger):
+    scale = tensor_info["encoding"]["scale"]
+    offset = tensor_info["encoding"]["offset"]
+
+    # user gave wrong tensor for no encoding appears
+    if len(scale) == 0:
+        logger.error(f"tensor '{tensor_info['name']}' has no encoding")
+        return get_ones_tensor(tensor_info, logger)
+
+    # quant if tensor is float with encoding
+    return (
+        tensor.div(scale).add(offset).round().to(eval(tensor_info["dtype"]))
+        if tensor.dtype == torch.float
+        else tensor.sub(offset).mul(scale).to(torch.float32)
+    )
+
+
+def get_tensor(io_info, tensors, logger, checking_output=False):
+    # check if enough tensors have been given
+    if len(tensors) != len(io_info):
+        logger.error(
+            "given tensor numbers mismatch, "
+            f"expected {len(io_info)} but got {len(tensors)}"
+        )
+        if checking_output:
+            logger.error(
+                "output tensors failed to generate, "
+                "please check executor_runner logs."
+            )
+            exit(-1)
+
+        return [get_ones_tensor(t, logger) for t in io_info]
+
+    # list of tensors to be returned
+    ret_tensors, ret_list = [], []
+    for i, info in enumerate(io_info):
+        ret_list.append(f"input_0_{i}.raw")
+        if list(tensors[i].shape) != info["shape"]:
+            logger.error(
+                f"tensor '{info['name']}' shape mismatch: "
+                f"users > {tensors[i].shape} - "
+                f"required > {info['shape']}"
+            )
+            ret_tensors.append(get_ones_tensor(info, logger))
+            continue
+
+        ret_tensors.append(
+            tensors[i]
+            if tensors[i].dtype == eval(info["dtype"])
+            else
+            # try quant / dequant for given tensor if possible
+            ret_tensors.append(get_tensor_with_encoding(tensors[i], info, logger))
+        )
+    return [ret_tensors], " ".join(ret_list)
+
+
+def to_context_binary(
+    model_lib, soc_model, device, host, build_folder, output_folder, logger
+):
+    ext = Path(model_lib).suffix
+    if ext == ".bin":
+        return model_lib
+
+    assert (
+        device is not None
+    ), "Please assign device serial for model library conversion."
+    logger.info(f"Generating context binary for {model_lib}")
+    # leverage SimpleADB for model library conversion
+    lib_name = Path(model_lib).stem
+    sdk_root = os.getenv("QNN_SDK_ROOT")
+    adb = SimpleADB(
+        qnn_sdk=sdk_root,
+        build_path=build_folder,
+        pte_path=model_lib,
+        workspace=f"/data/local/tmp/executorch/{lib_name}",
+        device_id=device,
+        soc_model=soc_model,
+        host_id=host,
+    )
+
+    logger.info("pushing QNN libraries & tool")
+    arch = adb.arch_table[soc_model]
+    files = [
+        f"{sdk_root}/bin/aarch64-android/qnn-context-binary-generator",
+        f"{sdk_root}/lib/aarch64-android/libQnnHtp.so",
+        f"{sdk_root}/lib/aarch64-android/libQnnHtpV{arch}Stub.so",
+        f"{sdk_root}/lib/aarch64-android/libQnnHtpPrepare.so",
+        f"{sdk_root}/lib/hexagon-v{arch}/unsigned/libQnnHtpV{arch}Skel.so",
+    ]
+    adb.push(files=files)
+
+    logger.info("starting conversion")
+    commands = " ".join(
+        [
+            f"cd {adb.workspace} &&",
+            "export LD_LIBRARY_PATH=. &&",
+            "./qnn-context-binary-generator",
+            f"--model {Path(model_lib).name}",
+            "--backend libQnnHtp.so",
+            f"--binary_file {lib_name}",
+        ]
+    )
+    adb.execute(custom_runner_cmd=commands)
+
+    logger.info(f"collecting converted context binary - {lib_name}.bin")
+    adb._adb(["pull", f"{adb.workspace}/output/{lib_name}.bin", output_folder])
+
+    bin_path = f"{output_folder}/{lib_name}.bin"
+    assert os.path.exists(bin_path), (
+        "Failed to convert context binary, " "please check logcat for more details."
+    )
+    return bin_path
+
+
+def compile(args):
+    logger = get_logger()
+    logger.info("prepare compiler spec for qualcomm backend")
+
+    # setup compiler spec dedicated to QNN HTP backend
+    backend_options = generate_htp_compiler_spec(use_fp16=False)
+    # setup general compiler spec for QNN
+    compiler_specs = generate_qnn_executorch_compiler_spec(
+        soc_model=getattr(QcomChipset, args.model),
+        backend_options=backend_options,
+        is_from_context_binary=True,
+    )
+    # setup memory planning
+    memory_planning_pass = MemoryPlanningPass(
+        alloc_graph_input=args.allocate_graph_io,
+        alloc_graph_output=args.allocate_graph_io,
+    )
+
+    # dictionary for avoiding name collision when creating custom ops
+    name_map = {}
+    num_bins = len(args.artifacts)
+    for i, ctx_bin in enumerate(args.artifacts):
+        index = i + 1
+        binary_name = Path(ctx_bin).stem
+        output_dir = f"{args.output_pte_folder}/{binary_name}"
+        make_output_dir(output_dir)
+        # conversion model library into context binary if required
+        ctx_bin = to_context_binary(
+            model_lib=ctx_bin,
+            soc_model=args.model,
+            device=args.device,
+            host=args.host,
+            build_folder=args.build_folder,
+            output_folder=output_dir,
+            logger=logger,
+        )
+        # step 0: check if name collision happens for context binaries
+        logger.info(f"({index}/{num_bins}) checking custom op name of {ctx_bin}")
+        custom_op_name = f"ctx_loader_{binary_name}"
+        postfix = name_map.get(custom_op_name, 0)
+        if postfix > 0:
+            postfix += 1
+            custom_op_name = f"{custom_op_name}_{postfix}"
+        name_map[custom_op_name] = postfix
+        # step 1: generate ExportedProgram with custom op as binary loader
+        logger.info(f"({index}/{num_bins}) exporting program for {ctx_bin}")
+        prog_info = from_context_binary(
+            ctx_bin, custom_op_name, getattr(QcomChipset, args.model)
+        )
+        # step 2: lower to QnnBackend
+        logger.info(f"({index}/{num_bins}) start lowering {ctx_bin} to QnnBackend")
+        lowered_module = to_backend(
+            "QnnBackend", prog_info["edge_program"], compiler_specs
+        )
+        # step 3: write pte files and IO information
+        logger.info(f"({index}/{num_bins}) exporting {binary_name}.pte")
+        with open(f"{output_dir}/{binary_name}.pte", "wb") as f:
+            f.write(
+                lowered_module.buffer(
+                    extract_delegate_segments=True, memory_planning=memory_planning_pass
+                )
+            )
+        logger.info(
+            f"({index}/{num_bins}) exporting network graph with {binary_name}.svg"
+        )
+        draw_graph(binary_name, output_dir, prog_info["edge_program"].graph_module)
+        logger.info(
+            f"({index}/{num_bins}) exporting graph description with {binary_name}.json"
+        )
+        with open(f"{output_dir}/{binary_name}.json", "w") as f:
+            graph_info = get_io_info(prog_info, ctx_bin, compiler_specs)
+            graph_info["soc_model"] = args.model
+            json.dump(graph_info, f, indent=2)
+
+
+def execute(args):
+    logger = get_logger()
+
+    # load graph description file
+    pte_name = Path(args.pte_directory).stem
+    graph_desc = f"{args.pte_directory}/{pte_name}.json"
+    logger.info(f"loading graph description: {graph_desc}")
+    with open(graph_desc, "r") as f:
+        graph_info = json.load(f)
+
+    # load input files
+    logger.info("loading user inputs")
+    user_inputs = []
+    for input_file in args.input_files:
+        with open(input_file, "rb") as f:
+            buffer = io.BytesIO(f.read())
+            user_inputs.append(torch.load(buffer, weights_only=False))
+
+    # check if inputs are valid, fallback to ones tensor if any
+    logger.info("generating input data")
+    inputs, input_list = get_tensor(graph_info["inputs"], user_inputs, logger)
+
+    logger.info("preparing ADB connection")
+    # leverage SimpleADB for e2e inference
+    adb = SimpleADB(
+        qnn_sdk=os.getenv("QNN_SDK_ROOT"),
+        build_path=args.build_folder,
+        pte_path=f"{args.pte_directory}/{pte_name}.pte",
+        workspace=f"/data/local/tmp/executorch/{pte_name}",
+        device_id=args.device,
+        soc_model=graph_info["soc_model"],
+        host_id=args.host,
+        shared_buffer=args.shared_buffer,
+    )
+
+    logger.info("pushing QNN libraries & other artifacts")
+    adb.push(inputs=inputs, input_list=input_list)
+
+    logger.info("starting inference")
+    adb.execute()
+
+    logger.info("collecting output data")
+
+    def post_process():
+        output_info, outputs = graph_info["outputs"], []
+        output_folder = f"{args.output_data_folder}/outputs"
+        for i, f in enumerate(sorted(os.listdir(output_folder))):
+            filename = os.path.join(output_folder, f)
+            output = np.fromfile(
+                filename, dtype=eval(f"np.{output_info[i]['dtype'].split('.')[-1]}")
+            )
+            outputs.append(torch.from_numpy(output.reshape(output_info[i]["shape"])))
+            os.remove(filename)
+
+        os.rmdir(output_folder)
+        outputs, _ = get_tensor(output_info, outputs, logger, checking_output=True)
+        # dataset length equals to 1
+        for i, output in enumerate(outputs[0]):
+            torch.save(output, f"{args.output_data_folder}/{output_info[i]['name']}.pt")
+
+    make_output_dir(args.output_data_folder)
+    adb.pull(args.output_data_folder, post_process)
+    logger.info(
+        f"execution finished, please check {args.output_data_folder} for results"
+    )
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description=(
+            "Utility to lower precompiled model libraries / "
+            "context binaries from Qualcomm AI Engine Direct to executorch"
+            " .pte program. Please visit https://aihub.qualcomm.com/ to "
+            "download your favorite models."
+        ),
+    )
+    subparsers = parser.add_subparsers(
+        title="subcommands",
+        description=(
+            "[compile]: Compile designated model libraries / "
+            "context binaries into .pte files. "
+            "[execute]: Perform on-device inference with given .pte."
+        ),
+    )
+
+    sub_compile = subparsers.add_parser(
+        name="compile",
+        help=(
+            "e.g. python export.py compile -a model.bin -m SM8650 "
+            "-b /path/to/build-android"
+        ),
+    )
+    sub_compile.add_argument(
+        "-a",
+        "--artifacts",
+        nargs="+",
+        type=str,
+        required=True,
+        help=(
+            "Path to AI HUB or QNN tool generated artifacts, "
+            "batch process is supported. "
+            "e.g. python export.py compile -a a.bin b.so c.bin "
+            "-m SM8650 -s $SERIAL_NO -b /path/to/build-android"
+        ),
+    )
+    sub_compile.add_argument(
+        "-m",
+        "--model",
+        type=str,
+        required=True,
+        help="SoC model. e.g. SM8650",
+    )
+    sub_compile.add_argument(
+        "-s",
+        "--device",
+        type=str,
+        help="Serial no of device which could be obtained by 'adb devices'.",
+    )
+    sub_compile.add_argument(
+        "-o",
+        "--output_pte_folder",
+        type=str,
+        default="./output_pte",
+        help=(
+            "Path to output artifacts, store in 'output_pte' if not given. "
+            "graph descriptions & diagram will also be exported."
+        ),
+    )
+    sub_compile.add_argument(
+        "-b",
+        "--build_folder",
+        help="Path to cmake binary directory for android, e.g., /path/to/build-android",
+        type=str,
+        required=True,
+    )
+    sub_compile.add_argument(
+        "-l",
+        "--allocate_graph_io",
+        type=bool,
+        default=True,
+        help=(
+            "True if IO tensors are pre-allocated by framework. "
+            "False for users who want to manage resources in runtime."
+        ),
+    )
+    sub_compile.add_argument(
+        "-H",
+        "--host",
+        type=str,
+        help="Gateway hostname.",
+    )
+    sub_compile.set_defaults(callback=compile)
+
+    sub_execute = subparsers.add_parser(
+        name="execute",
+        help=(
+            "e.g. python export.py execute -p model_dir -i inp.raw " "-s device_serial"
+        ),
+    )
+    sub_execute.add_argument(
+        "-p",
+        "--pte_directory",
+        type=str,
+        required=True,
+        help="Path to .pte file folder generated from 'compile' subcommand.",
+    )
+    sub_execute.add_argument(
+        "-i",
+        "--input_files",
+        nargs="*",
+        type=str,
+        help=(
+            "Path to input files stored via torch.save. "
+            "If the number / spec of input files doesn't match given .pte file, "
+            "tensors filled with value 1 will be taken as inputs."
+        ),
+    )
+    sub_execute.add_argument(
+        "-s",
+        "--device",
+        type=str,
+        required=True,
+        help="Serial no of device which could be obtained by 'adb devices'.",
+    )
+    sub_execute.add_argument(
+        "-o",
+        "--output_data_folder",
+        type=str,
+        default="./output_data",
+        help="Path to output data, store in 'output_data' if not given.",
+    )
+    sub_execute.add_argument(
+        "-b",
+        "--build_folder",
+        help="Path to cmake binary directory for android, e.g., /path/to/build-android",
+        type=str,
+        required=True,
+    )
+    sub_execute.add_argument(
+        "-z",
+        "--shared_buffer",
+        help=(
+            "Enables usage of shared buffer between application and backend for graph I/O."
+            " Please use with `--allocate_graph_io False` in compile command."
+        ),
+        action="store_true",
+    )
+    sub_execute.add_argument(
+        "-H",
+        "--host",
+        type=str,
+        help="Gateway hostname.",
+    )
+    sub_execute.set_defaults(callback=execute)
+
+    args = parser.parse_args()
+    args.callback(args)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/examples/qualcomm/qaihub_scripts/utils/utils.py b/examples/qualcomm/qaihub_scripts/utils/utils.py
new file mode 100644
index 0000000000..67d519a688
--- /dev/null
+++ b/examples/qualcomm/qaihub_scripts/utils/utils.py
@@ -0,0 +1,87 @@
+# Copyright (c) Qualcomm Innovation Center, Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import gc
+
+import executorch.backends.qualcomm.python.PyQnnManagerAdaptor as PyQnnManagerAdaptor
+
+from executorch.backends.qualcomm.utils.utils import (
+    canonicalize_program,
+    generate_qnn_executorch_option,
+)
+from executorch.exir.backend.backend_api import to_backend
+from executorch.exir.passes.memory_planning_pass import MemoryPlanningPass
+
+
+def get_encoding(
+    path_to_shard: str,
+    compiler_specs: str,
+    get_input: bool,
+    get_output: bool,
+    num_input: int,
+    num_output: int,
+):
+    encoding_list = []
+    with open(path_to_shard, "rb") as f:
+        ctx_bin = f.read()
+        qnn_mgr = PyQnnManagerAdaptor.QnnManager(
+            generate_qnn_executorch_option(compiler_specs), ctx_bin
+        )
+        assert qnn_mgr.Init().value == 0, "failed to load context binary"
+        qnn_mgr.AllocateTensor()
+        if get_input:
+            encoding_input = {"scale": [], "offset": []}
+            for i in range(num_input):
+                inputs = qnn_mgr.GetGraphInputs()[i]
+                encoding = inputs.GetEncodings()
+                encoding_input["scale"].append(encoding.data["scale"].item())
+                encoding_input["offset"].append(encoding.data["offset"].item())
+            encoding_list.append(encoding_input)
+        if get_output:
+            encoding_output = {"scale": [], "offset": []}
+            for i in range(num_output):
+                outputs = qnn_mgr.GetGraphOutputs()[i]
+                encoding = outputs.GetEncodings()
+                encoding_output["scale"].append(encoding.data["scale"].item())
+                encoding_output["offset"].append(encoding.data["offset"].item())
+            encoding_list.append(encoding_output)
+        qnn_mgr.Destroy()
+    return encoding_list
+
+
+def gen_pte_from_ctx_bin(
+    artifact, pte_names, compiler_specs, bundle_programs, custom_spill_fill=None
+):
+
+    # Lower with QnnBackend
+    lowered_modules = [
+        to_backend("QnnBackend", prog["edge_program"], compiler_specs)
+        for prog in bundle_programs
+    ]
+    # Setup spill-fill buffer for relieving runtime memory usage
+    canonicalize_program(lowered_modules, custom_buffer_size=custom_spill_fill)
+    # export pte files
+    pte_files = []
+    for pte_name in pte_names:
+        print(f"{pte_name} generating...")
+        memory_planning_pass = MemoryPlanningPass(
+            memory_planning_algo="greedy",
+            alloc_graph_input=False,
+            alloc_graph_output=False,
+        )
+        pte_files.append(f"{artifact}/{pte_name}.pte")
+        with open(pte_files[-1], "wb") as file:
+            file.write(
+                lowered_modules[0].buffer(
+                    extract_delegate_segments=True, memory_planning=memory_planning_pass
+                )
+            )
+        # GC for reducing host memory consuming
+        bundle_programs.pop(0)
+        lowered_modules.pop(0)
+        gc.collect()
+
+    return pte_files
diff --git a/examples/qualcomm/qnn_intermediate_output_inspector.py b/examples/qualcomm/qnn_intermediate_output_inspector.py
new file mode 100644
index 0000000000..59e1a279d8
--- /dev/null
+++ b/examples/qualcomm/qnn_intermediate_output_inspector.py
@@ -0,0 +1,52 @@
+# Copyright (c) Qualcomm Innovation Center, Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import argparse
+
+from executorch.devtools import Inspector
+
+
+def main(args):
+    # Create an Inspector instance with etdump and the debug buffer.
+    inspector = Inspector(
+        etdump_path=args.etdump_path,
+        etrecord=args.etrecord_path,
+        debug_buffer_path=args.debug_buffer_path,
+    )
+
+    # Accessing intermediate outputs from each event (an event here is essentially an instruction that executed in the runtime).
+    for event_block in inspector.event_blocks:
+        if event_block.name == "Execute":
+            for event in event_block.events:
+                # If user enables profiling and dump intermediate outputs the same time, we need to skip the profiling event
+                if event.perf_data is not None and event.is_delegated_op:
+                    continue
+                print("Event Name: ", event.name)
+                print(event.debug_data)
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--etdump_path",
+        required=True,
+        help="Provide an ETDump file path. File extension should be .etdp",
+    )
+    parser.add_argument(
+        "--etrecord_path",
+        required=False,
+        default=None,
+        help="Provide an optional ETRecord file path. File extension should be .bin",
+    )
+    parser.add_argument(
+        "--debug_buffer_path",
+        required=False,
+        default=None,
+        help="Provide an optional debug buffer file path. File extension should be .bin",
+    )
+    args = parser.parse_args()
+
+    main(args)
diff --git a/examples/qualcomm/scripts/deeplab_v3.py b/examples/qualcomm/scripts/deeplab_v3.py
index d870380e35..7f24d61618 100755
--- a/examples/qualcomm/scripts/deeplab_v3.py
+++ b/examples/qualcomm/scripts/deeplab_v3.py
@@ -12,10 +12,11 @@
 from multiprocessing.connection import Client
 
 import numpy as np
+import torch
 
 from executorch.backends.qualcomm.quantizer.quantizer import QuantDtype
 from executorch.examples.models.deeplab_v3 import DeepLabV3ResNet101Model
-from executorch.examples.qualcomm.scripts.utils import (
+from executorch.examples.qualcomm.utils import (
     build_executorch_binary,
     make_output_dir,
     parse_skip_delegation_node,
@@ -74,9 +75,13 @@ def main(args):
         )
 
     data_num = 100
-    inputs, targets, input_list = get_dataset(
-        data_size=data_num, dataset_dir=args.artifact, download=args.download
-    )
+    if args.compile_only:
+        inputs = [(torch.rand(1, 3, 224, 224),)]
+    else:
+        inputs, targets, input_list = get_dataset(
+            data_size=data_num, dataset_dir=args.artifact, download=args.download
+        )
+
     pte_filename = "dlv3_qnn"
     instance = DeepLabV3ResNet101Model()
 
@@ -95,12 +100,6 @@ def main(args):
     if args.compile_only:
         sys.exit(0)
 
-    # setup required paths accordingly
-    # qnn_sdk       : QNN SDK path setup in environment variable
-    # build_path : path where QNN delegate artifacts were built
-    # pte_path      : path where executorch binary was stored
-    # device_id     : serial number of android device
-    # workspace     : folder for storing artifacts on android device
     adb = SimpleADB(
         qnn_sdk=os.getenv("QNN_SDK_ROOT"),
         build_path=f"{args.build_folder}",
diff --git a/examples/qualcomm/scripts/edsr.py b/examples/qualcomm/scripts/edsr.py
index f602ecc1af..8852cf0e4c 100755
--- a/examples/qualcomm/scripts/edsr.py
+++ b/examples/qualcomm/scripts/edsr.py
@@ -15,7 +15,7 @@
 import torch
 from executorch.backends.qualcomm.quantizer.quantizer import QuantDtype
 from executorch.examples.models.edsr import EdsrModel
-from executorch.examples.qualcomm.scripts.utils import (
+from executorch.examples.qualcomm.utils import (
     build_executorch_binary,
     make_output_dir,
     parse_skip_delegation_node,
@@ -126,12 +126,6 @@ def main(args):
     if args.compile_only:
         sys.exit(0)
 
-    # setup required paths accordingly
-    # qnn_sdk       : QNN SDK path setup in environment variable
-    # build_path : path where QNN delegate artifacts were built
-    # pte_path      : path where executorch binary was stored
-    # device_id     : serial number of android device
-    # workspace     : folder for storing artifacts on android device
     adb = SimpleADB(
         qnn_sdk=os.getenv("QNN_SDK_ROOT"),
         build_path=f"{args.build_folder}",
diff --git a/examples/qualcomm/scripts/export_example.py b/examples/qualcomm/scripts/export_example.py
index b12a44993d..08f18d6ac6 100644
--- a/examples/qualcomm/scripts/export_example.py
+++ b/examples/qualcomm/scripts/export_example.py
@@ -15,12 +15,12 @@
     generate_htp_compiler_spec,
     generate_qnn_executorch_compiler_spec,
 )
+from executorch.devtools import generate_etrecord
 from executorch.examples.models import MODEL_NAME_TO_MODEL
 from executorch.examples.models.model_factory import EagerModelFactory
 from executorch.exir.backend.backend_api import to_backend, validation_disabled
 from executorch.exir.capture._config import ExecutorchBackendConfig
 from executorch.extension.export_util.utils import save_pte_program
-from executorch.sdk import generate_etrecord
 
 from torch.ao.quantization.quantize_pt2e import convert_pt2e, prepare_pt2e
 
@@ -96,9 +96,7 @@
         )
 
     executorch_program = delegated_program.to_executorch(
-        config=ExecutorchBackendConfig(
-            extract_delegate_segments=False, extract_constant_segment=False
-        )
+        config=ExecutorchBackendConfig(extract_delegate_segments=False)
     )
 
     if args.generate_etrecord:
diff --git a/examples/qualcomm/scripts/inception_v3.py b/examples/qualcomm/scripts/inception_v3.py
index 90eb8cf206..9cc35463d4 100755
--- a/examples/qualcomm/scripts/inception_v3.py
+++ b/examples/qualcomm/scripts/inception_v3.py
@@ -14,7 +14,7 @@
 import torch
 from executorch.backends.qualcomm.quantizer.quantizer import QuantDtype
 from executorch.examples.models.inception_v3.model import InceptionV3Model
-from executorch.examples.qualcomm.scripts.utils import (
+from executorch.examples.qualcomm.utils import (
     build_executorch_binary,
     make_output_dir,
     parse_skip_delegation_node,
@@ -71,10 +71,13 @@ def main(args):
         )
 
     data_num = 100
-    inputs, targets, input_list = get_dataset(
-        dataset_path=f"{args.dataset}",
-        data_size=data_num,
-    )
+    if args.compile_only:
+        inputs = [(torch.rand(1, 3, 224, 224),)]
+    else:
+        inputs, targets, input_list = get_dataset(
+            dataset_path=f"{args.dataset}",
+            data_size=data_num,
+        )
     pte_filename = "ic3_qnn"
     instance = InceptionV3Model()
     build_executorch_binary(
@@ -92,12 +95,6 @@ def main(args):
     if args.compile_only:
         sys.exit(0)
 
-    # setup required paths accordingly
-    # qnn_sdk       : QNN SDK path setup in environment variable
-    # build_path : path where QNN delegate artifacts were built
-    # pte_path      : path where executorch binary was stored
-    # device_id     : serial number of android device
-    # workspace     : folder for storing artifacts on android device
     adb = SimpleADB(
         qnn_sdk=os.getenv("QNN_SDK_ROOT"),
         build_path=f"{args.build_folder}",
@@ -148,7 +145,7 @@ def main(args):
             "for https://www.kaggle.com/datasets/ifigotin/imagenetmini-1000)"
         ),
         type=str,
-        required=True,
+        required=False,
     )
 
     parser.add_argument(
diff --git a/examples/qualcomm/scripts/inception_v4.py b/examples/qualcomm/scripts/inception_v4.py
index 84b20e6e20..9a19de1a37 100755
--- a/examples/qualcomm/scripts/inception_v4.py
+++ b/examples/qualcomm/scripts/inception_v4.py
@@ -14,7 +14,7 @@
 import torch
 from executorch.backends.qualcomm.quantizer.quantizer import QuantDtype
 from executorch.examples.models.inception_v4 import InceptionV4Model
-from executorch.examples.qualcomm.scripts.utils import (
+from executorch.examples.qualcomm.utils import (
     build_executorch_binary,
     make_output_dir,
     parse_skip_delegation_node,
@@ -70,10 +70,13 @@ def main(args):
         )
 
     data_num = 100
-    inputs, targets, input_list = get_dataset(
-        dataset_path=f"{args.dataset}",
-        data_size=data_num,
-    )
+    if args.compile_only:
+        inputs = [(torch.rand(1, 3, 224, 224),)]
+    else:
+        inputs, targets, input_list = get_dataset(
+            dataset_path=f"{args.dataset}",
+            data_size=data_num,
+        )
     pte_filename = "ic4_qnn"
     instance = InceptionV4Model()
     build_executorch_binary(
@@ -91,12 +94,6 @@ def main(args):
     if args.compile_only:
         sys.exit(0)
 
-    # setup required paths accordingly
-    # qnn_sdk       : QNN SDK path setup in environment variable
-    # build_path : path where QNN delegate artifacts were built
-    # pte_path      : path where executorch binary was stored
-    # device_id     : serial number of android device
-    # workspace     : folder for storing artifacts on android device
     adb = SimpleADB(
         qnn_sdk=os.getenv("QNN_SDK_ROOT"),
         build_path=f"{args.build_folder}",
@@ -147,7 +144,7 @@ def main(args):
             "for https://www.kaggle.com/datasets/ifigotin/imagenetmini-1000)"
         ),
         type=str,
-        required=True,
+        required=False,
     )
 
     parser.add_argument(
diff --git a/examples/qualcomm/scripts/mobilebert_fine_tune.py b/examples/qualcomm/scripts/mobilebert_fine_tune.py
index 8972ca202f..605bb27d33 100755
--- a/examples/qualcomm/scripts/mobilebert_fine_tune.py
+++ b/examples/qualcomm/scripts/mobilebert_fine_tune.py
@@ -13,13 +13,24 @@
 
 import torch
 from executorch.backends.qualcomm.quantizer.quantizer import QuantDtype
-from executorch.examples.qualcomm.scripts.utils import (
+from executorch.backends.qualcomm.serialization.qnn_compile_spec_schema import (
+    QcomChipset,
+)
+from executorch.backends.qualcomm.utils.utils import (
+    generate_htp_compiler_spec,
+    generate_qnn_executorch_compiler_spec,
+    skip_annotation,
+)
+from executorch.examples.qualcomm.utils import (
     build_executorch_binary,
     make_output_dir,
+    make_quantizer,
     parse_skip_delegation_node,
+    QnnPartitioner,
     setup_common_args_and_variables,
     SimpleADB,
 )
+from executorch.exir import to_edge
 from transformers import BertTokenizer, MobileBertForSequenceClassification
 
 
@@ -204,8 +215,6 @@ def get_fine_tuned_mobilebert(artifacts_dir, pretrained_weight, batch_size):
             )
 
     model.load_state_dict(
-        # TODO: If possible, it's better to set weights_only to True
-        # https://pytorch.org/docs/stable/generated/torch.load.html
         torch.load(
             (
                 f"{artifacts_dir}/finetuned_mobilebert_epoch_{epochs}.model"
@@ -213,7 +222,7 @@ def get_fine_tuned_mobilebert(artifacts_dir, pretrained_weight, batch_size):
                 else pretrained_weight
             ),
             map_location=torch.device("cpu"),
-            weights_only=False,
+            weights_only=True,
         ),
     )
 
@@ -232,48 +241,69 @@ def main(args):
             "Please specify a device serial by -s/--device argument."
         )
 
-    pte_filename = "ptq_mb_qnn" if args.ptq else "mb_qnn"
-    batch_size = 1 if args.ptq else 3
+    batch_size, pte_filename = 1, "ptq_mb_qnn"
     model, data_val, labels = get_fine_tuned_mobilebert(
         args.artifact, args.pretrained_weight, batch_size
     )
     inputs, input_list = get_dataset(data_val)
 
-    if args.ptq == "8a8w":
-        quant_dtype = QuantDtype.use_8a8w
-    elif args.ptq == "16a16w":
-        quant_dtype = QuantDtype.use_16a16w
-    elif args.ptq == "16a4w":
-        quant_dtype = QuantDtype.use_16a4w
-    else:
+    try:
+        quant_dtype = getattr(QuantDtype, f"use_{args.ptq}")
+    except:
         raise AssertionError(
             f"No support for quant type {args.ptq}. Support 8a8w, 16a16w and 16a4w."
         )
 
     if args.use_fp16:
         quant_dtype = None
+        pte_filename = "mb_qnn"
+        build_executorch_binary(
+            model,
+            inputs[0],
+            args.model,
+            f"{args.artifact}/{pte_filename}",
+            inputs,
+            skip_node_id_set=skip_node_id_set,
+            skip_node_op_set=skip_node_op_set,
+            quant_dtype=quant_dtype,
+            shared_buffer=args.shared_buffer,
+        )
+    else:
 
-    build_executorch_binary(
-        model,
-        inputs[0],
-        args.model,
-        f"{args.artifact}/{pte_filename}",
-        inputs,
-        skip_node_id_set=skip_node_id_set,
-        skip_node_op_set=skip_node_op_set,
-        quant_dtype=quant_dtype,
-        shared_buffer=args.shared_buffer,
-    )
+        def calibrator(gm):
+            for input in inputs:
+                gm(*input)
+
+        quantizer = make_quantizer(quant_dtype=quant_dtype)
+        backend_options = generate_htp_compiler_spec(quant_dtype is not None)
+        partitioner = QnnPartitioner(
+            generate_qnn_executorch_compiler_spec(
+                soc_model=getattr(QcomChipset, args.model),
+                backend_options=backend_options,
+            ),
+            skip_node_id_set=skip_node_id_set,
+            skip_node_op_set=skip_node_op_set,
+        )
+        # skip embedding layer cause it's quantization sensitive
+        graph_module, _ = skip_annotation(
+            nn_module=model,
+            quantizer=quantizer,
+            partitioner=partitioner,
+            sample_input=inputs[0],
+            calibration_cb=calibrator,
+            fp_node_op_set={torch.ops.aten.embedding.default},
+        )
+        # lower all graph again, the skipped operators will be left in CPU
+        exec_prog = to_edge(
+            torch.export.export(graph_module, inputs[0]),
+        ).to_executorch()
+
+        with open(f"{args.artifact}/{pte_filename}.pte", "wb") as file:
+            file.write(exec_prog.buffer)
 
     if args.compile_only:
         sys.exit(0)
 
-    # setup required paths accordingly
-    # qnn_sdk       : QNN SDK path setup in environment variable
-    # build_path : path where QNN delegate artifacts were built
-    # pte_path      : path where executorch binary was stored
-    # device_id     : serial number of android device
-    # workspace     : folder for storing artifacts on android device
     adb = SimpleADB(
         qnn_sdk=os.getenv("QNN_SDK_ROOT"),
         build_path=f"{args.build_folder}",
diff --git a/examples/qualcomm/scripts/mobilenet_v2.py b/examples/qualcomm/scripts/mobilenet_v2.py
index 3ebdcd5d05..a915e26c6b 100755
--- a/examples/qualcomm/scripts/mobilenet_v2.py
+++ b/examples/qualcomm/scripts/mobilenet_v2.py
@@ -14,7 +14,7 @@
 import torch
 from executorch.backends.qualcomm.quantizer.quantizer import QuantDtype
 from executorch.examples.models.mobilenet_v2 import MV2Model
-from executorch.examples.qualcomm.scripts.utils import (
+from executorch.examples.qualcomm.utils import (
     build_executorch_binary,
     make_output_dir,
     parse_skip_delegation_node,
@@ -71,10 +71,13 @@ def main(args):
         )
 
     data_num = 100
-    inputs, targets, input_list = get_dataset(
-        dataset_path=f"{args.dataset}",
-        data_size=data_num,
-    )
+    if args.compile_only:
+        inputs = [(torch.rand(1, 3, 224, 224),)]
+    else:
+        inputs, targets, input_list = get_dataset(
+            dataset_path=f"{args.dataset}",
+            data_size=data_num,
+        )
     pte_filename = "mv2_qnn"
     instance = MV2Model()
     build_executorch_binary(
@@ -92,12 +95,6 @@ def main(args):
     if args.compile_only:
         sys.exit(0)
 
-    # setup required paths accordingly
-    # qnn_sdk       : QNN SDK path setup in environment variable
-    # build_path : path where QNN delegate artifacts were built
-    # pte_path      : path where executorch binary was stored
-    # device_id     : serial number of android device
-    # workspace     : folder for storing artifacts on android device
     adb = SimpleADB(
         qnn_sdk=os.getenv("QNN_SDK_ROOT"),
         build_path=f"{args.build_folder}",
@@ -148,7 +145,7 @@ def main(args):
             "for https://www.kaggle.com/datasets/ifigotin/imagenetmini-1000)"
         ),
         type=str,
-        required=True,
+        required=False,
     )
 
     parser.add_argument(
diff --git a/examples/qualcomm/scripts/mobilenet_v3.py b/examples/qualcomm/scripts/mobilenet_v3.py
index 18fd7c849a..068e9cba3a 100644
--- a/examples/qualcomm/scripts/mobilenet_v3.py
+++ b/examples/qualcomm/scripts/mobilenet_v3.py
@@ -13,7 +13,7 @@
 
 import torch
 from executorch.examples.models.mobilenet_v3 import MV3Model
-from executorch.examples.qualcomm.scripts.utils import (
+from executorch.examples.qualcomm.utils import (
     build_executorch_binary,
     make_output_dir,
     parse_skip_delegation_node,
@@ -70,10 +70,13 @@ def main(args):
         )
 
     data_num = 100
-    inputs, targets, input_list = get_dataset(
-        dataset_path=f"{args.dataset}",
-        data_size=data_num,
-    )
+    if args.compile_only:
+        inputs = [(torch.rand(1, 3, 224, 224),)]
+    else:
+        inputs, targets, input_list = get_dataset(
+            dataset_path=f"{args.dataset}",
+            data_size=data_num,
+        )
     pte_filename = "mv3_qnn"
     instance = MV3Model()
     build_executorch_binary(
@@ -90,12 +93,6 @@ def main(args):
     if args.compile_only:
         sys.exit(0)
 
-    # setup required paths accordingly
-    # qnn_sdk       : QNN SDK path setup in environment variable
-    # build_path : path where QNN delegate artifacts were built
-    # pte_path      : path where executorch binary was stored
-    # device_id     : serial number of android device
-    # workspace     : folder for storing artifacts on android device
     adb = SimpleADB(
         qnn_sdk=os.getenv("QNN_SDK_ROOT"),
         build_path=f"{args.build_folder}",
@@ -146,7 +143,7 @@ def main(args):
             "for https://www.kaggle.com/datasets/ifigotin/imagenetmini-1000)"
         ),
         type=str,
-        required=True,
+        required=False,
     )
 
     parser.add_argument(
diff --git a/examples/qualcomm/scripts/torchvision_vit.py b/examples/qualcomm/scripts/torchvision_vit.py
index cfdbe5d075..c9fc988d56 100755
--- a/examples/qualcomm/scripts/torchvision_vit.py
+++ b/examples/qualcomm/scripts/torchvision_vit.py
@@ -6,6 +6,7 @@
 
 import json
 import os
+import sys
 from multiprocessing.connection import Client
 
 import numpy as np
@@ -13,7 +14,7 @@
 import torch
 from executorch.backends.qualcomm.quantizer.quantizer import QuantDtype
 from executorch.examples.models.torchvision_vit.model import TorchVisionViTModel
-from executorch.examples.qualcomm.scripts.utils import (
+from executorch.examples.qualcomm.utils import (
     build_executorch_binary,
     make_output_dir,
     setup_common_args_and_variables,
@@ -61,10 +62,14 @@ def main(args):
     os.makedirs(args.artifact, exist_ok=True)
 
     data_num = 100
-    inputs, targets, input_list = get_dataset(
-        dataset_path=f"{args.dataset}",
-        data_size=data_num,
-    )
+    if args.compile_only:
+        inputs = [(torch.rand(1, 3, 224, 224),)]
+    else:
+        inputs, targets, input_list = get_dataset(
+            dataset_path=f"{args.dataset}",
+            data_size=data_num,
+        )
+
     pte_filename = "vit_qnn"
     instance = TorchVisionViTModel()
     build_executorch_binary(
@@ -76,12 +81,10 @@ def main(args):
         quant_dtype=QuantDtype.use_8a8w,
         shared_buffer=args.shared_buffer,
     )
-    # setup required paths accordingly
-    # qnn_sdk       : QNN SDK path setup in environment variable
-    # build_path : path where QNN delegate artifacts were built
-    # pte_path      : path where executorch binary was stored
-    # device_id     : serial number of android device
-    # workspace     : folder for storing artifacts on android device
+
+    if args.compile_only:
+        sys.exit(0)
+
     adb = SimpleADB(
         qnn_sdk=os.getenv("QNN_SDK_ROOT"),
         build_path=f"{args.build_folder}",
@@ -131,13 +134,14 @@ def main(args):
             "for https://www.kaggle.com/datasets/ifigotin/imagenetmini-1000)"
         ),
         type=str,
-        required=True,
+        required=False,
     )
     parser.add_argument(
         "-a",
         "--artifact",
-        help="path for storing generated artifacts by this example. " "Default ./vit",
-        default="./vit",
+        help="path for storing generated artifacts by this example. "
+        "Default ./torchvision_vit",
+        default="./torchvision_vit",
         type=str,
     )
 
diff --git a/examples/qualcomm/scripts/utils.py b/examples/qualcomm/scripts/utils.py
deleted file mode 100755
index 1e4b1c6968..0000000000
--- a/examples/qualcomm/scripts/utils.py
+++ /dev/null
@@ -1,439 +0,0 @@
-# Copyright (c) Qualcomm Innovation Center, Inc.
-# All rights reserved
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-import argparse
-import os
-import subprocess
-import sys
-from pathlib import Path
-
-from typing import Callable, List, Optional
-
-import numpy as np
-
-import torch
-from executorch.backends.qualcomm.partition.qnn_partitioner import QnnPartitioner
-from executorch.backends.qualcomm.quantizer.quantizer import (
-    get_16a4w_qnn_ptq_config,
-    get_default_16bit_qnn_ptq_config,
-    QnnQuantizer,
-    QuantDtype,
-)
-from executorch.backends.qualcomm.serialization.qnn_compile_spec_schema import (
-    QcomChipset,
-)
-from executorch.backends.qualcomm.utils.utils import (
-    capture_program,
-    generate_htp_compiler_spec,
-    generate_qnn_executorch_compiler_spec,
-)
-from executorch.exir import EdgeCompileConfig, EdgeProgramManager
-from executorch.exir.backend.backend_api import to_backend
-from executorch.exir.capture._config import ExecutorchBackendConfig
-from executorch.exir.passes.memory_planning_pass import MemoryPlanningPass
-from torch.ao.quantization.observer import MovingAverageMinMaxObserver
-from torch.ao.quantization.quantize_pt2e import convert_pt2e, prepare_pt2e
-
-
-class SimpleADB:
-    def __init__(
-        self,
-        qnn_sdk,
-        build_path,
-        pte_path,
-        workspace,
-        device_id,
-        soc_model,
-        host_id=None,
-        error_only=False,
-        shared_buffer=False,
-        runner="examples/qualcomm/qnn_executor_runner",
-    ):
-        self.qnn_sdk = qnn_sdk
-        self.build_path = build_path
-        self.pte_path = pte_path if isinstance(pte_path, list) else [pte_path]
-        self.workspace = workspace
-        self.device_id = device_id
-        self.host_id = host_id
-        self.working_dir = Path(self.pte_path[0]).parent.absolute()
-        self.input_list_filename = "input_list.txt"
-        self.etdump_path = f"{self.workspace}/etdump.etdp"
-        self.output_folder = f"{self.workspace}/outputs"
-        arch_table = {
-            "SM8650": "75",
-            "SM8550": "73",
-            "SM8475": "69",
-            "SM8450": "69",
-        }
-        self.soc_model = arch_table[soc_model]
-        self.error_only = error_only
-        self.shared_buffer = shared_buffer
-        self.runner = runner
-
-    def _adb(self, cmd):
-        if not self.host_id:
-            cmds = ["adb", "-s", self.device_id]
-        else:
-            cmds = ["adb", "-H", self.host_id, "-s", self.device_id]
-        cmds.extend(cmd)
-
-        subprocess.run(
-            cmds, stdout=subprocess.DEVNULL if self.error_only else sys.stdout
-        )
-
-    def push(self, inputs=None, input_list=None, files=None):
-        self._adb(["shell", f"rm -rf {self.workspace}"])
-        self._adb(["shell", f"mkdir -p {self.workspace}"])
-
-        # necessary artifacts
-        artifacts = [
-            *self.pte_path,
-            f"{self.qnn_sdk}/lib/aarch64-android/libQnnHtp.so",
-            (
-                f"{self.qnn_sdk}/lib/hexagon-v{self.soc_model}/"
-                f"unsigned/libQnnHtpV{self.soc_model}Skel.so"
-            ),
-            (
-                f"{self.qnn_sdk}/lib/aarch64-android/"
-                f"libQnnHtpV{self.soc_model}Stub.so"
-            ),
-            f"{self.qnn_sdk}/lib/aarch64-android/libQnnHtpPrepare.so",
-            f"{self.qnn_sdk}/lib/aarch64-android/libQnnSystem.so",
-            f"{self.build_path}/{self.runner}",
-            f"{self.build_path}/backends/qualcomm/libqnn_executorch_backend.so",
-        ]
-
-        # prepare input list
-        if input_list is not None:
-            input_list_file = f"{self.working_dir}/{self.input_list_filename}"
-            with open(input_list_file, "w") as f:
-                f.write(input_list)
-                f.flush()
-            artifacts.append(input_list_file)
-
-        for artifact in artifacts:
-            self._adb(["push", artifact, self.workspace])
-
-        # input data
-        if inputs is not None:
-            for idx, data in enumerate(inputs):
-                for i, d in enumerate(data):
-                    file_name = f"{self.working_dir}/input_{idx}_{i}.raw"
-                    d.detach().numpy().tofile(file_name)
-                    self._adb(["push", file_name, self.workspace])
-
-        # custom files
-        if files is not None:
-            for file_name in files:
-                self._adb(["push", file_name, self.workspace])
-
-    def execute(self, custom_runner_cmd=None):
-        self._adb(["shell", f"mkdir -p {self.output_folder}"])
-        # run the delegation
-        if custom_runner_cmd is None:
-            qnn_executor_runner_args = " ".join(
-                [
-                    f"--model_path {os.path.basename(self.pte_path[0])}",
-                    f"--output_folder_path {self.output_folder}",
-                    f"--input_list_path {self.input_list_filename}",
-                    f"--etdump_path {self.etdump_path}",
-                    "--shared_buffer" if self.shared_buffer else "",
-                ]
-            )
-            qnn_executor_runner_cmds = " ".join(
-                [
-                    f"cd {self.workspace} &&",
-                    "export ADSP_LIBRARY_PATH=. &&",
-                    "export LD_LIBRARY_PATH=. &&",
-                    f"./qnn_executor_runner {qnn_executor_runner_args}",
-                ]
-            )
-        else:
-            qnn_executor_runner_cmds = custom_runner_cmd
-
-        self._adb(["shell", f"{qnn_executor_runner_cmds}"])
-
-    def pull(self, output_path, callback=None):
-        self._adb(["pull", "-a", self.output_folder, output_path])
-        if callback:
-            callback()
-
-    def pull_etdump(self, output_path, callback=None):
-        self._adb(["pull", self.etdump_path, output_path])
-        if callback:
-            callback()
-
-
-# TODO: refactor to support different backends
-def build_executorch_binary(
-    model,  # noqa: B006
-    inputs,  # noqa: B006
-    soc_model,
-    file_name,
-    dataset: List[torch.Tensor] | Callable[[torch.fx.GraphModule], None],
-    custom_annotations=(),
-    skip_node_id_set=None,
-    skip_node_op_set=None,
-    quant_dtype: Optional[QuantDtype] = None,
-    per_channel_linear=False,  # TODO: remove this once QNN fully supports linear
-    shared_buffer=False,
-    metadata=None,
-    act_observer=MovingAverageMinMaxObserver,
-):
-    if quant_dtype is not None:
-        quantizer = QnnQuantizer()
-        quantizer.add_custom_quant_annotations(custom_annotations)
-        quantizer.set_per_channel_linear_quant(per_channel_linear)
-        quantizer.set_per_channel_conv_quant(True)
-
-        if quant_dtype == QuantDtype.use_8a8w:
-            pass  # default setting
-        elif quant_dtype == QuantDtype.use_16a16w:
-            quantizer.add_16bit_quant_ops(quantizer.SUPPORTED_OPS)
-            quantizer.set_bit16_op_quant_config(
-                get_default_16bit_qnn_ptq_config(act_observer=act_observer)
-            )
-        elif quant_dtype == QuantDtype.use_16a4w:
-            quantizer.add_16bit_quant_ops(quantizer.SUPPORTED_OPS)
-            quantizer.set_bit16_op_quant_config(
-                get_16a4w_qnn_ptq_config(act_observer=act_observer)
-            )
-            quantizer.set_per_channel_weight_dtype(weight_dtype_for_16bit_act="int4")
-        else:
-            raise AssertionError(f"No support for QuantDtype {quant_dtype}.")
-
-        captured_model = torch.export.export(model, inputs).module()
-        annotated_model = prepare_pt2e(captured_model, quantizer)
-        print("Quantizing the model...")
-        # calibration
-        if callable(dataset):
-            dataset(annotated_model)
-        else:
-            for data in dataset:
-                annotated_model(*data)
-        quantized_model = convert_pt2e(annotated_model)
-        edge_prog = capture_program(quantized_model, inputs)
-    else:
-        edge_prog = capture_program(model, inputs)
-
-    arch_table = {
-        "SM8650": QcomChipset.SM8650,
-        "SM8550": QcomChipset.SM8550,
-        "SM8475": QcomChipset.SM8475,
-        "SM8450": QcomChipset.SM8450,
-    }
-
-    backend_options = generate_htp_compiler_spec(
-        use_fp16=False if quant_dtype else True
-    )
-    qnn_partitioner = QnnPartitioner(
-        generate_qnn_executorch_compiler_spec(
-            soc_model=arch_table[soc_model],
-            backend_options=backend_options,
-            debug=False,
-            saver=False,
-            shared_buffer=shared_buffer,
-            profile=False,
-        ),
-        skip_node_id_set,
-        skip_node_op_set,
-    )
-
-    executorch_config = ExecutorchBackendConfig(
-        extract_constant_segment=False,
-        # For shared buffer, user must pass the memory address
-        # which is allocated by RPC memory to executor runner.
-        # Therefore, won't want to pre-allocate
-        # by memory manager in runtime.
-        memory_planning_pass=MemoryPlanningPass(
-            memory_planning_algo="greedy",
-            alloc_graph_input=not shared_buffer,
-            alloc_graph_output=not shared_buffer,
-        ),
-        extract_delegate_segments=True,
-    )
-
-    if metadata is None:
-        edge_prog.exported_program = to_backend(
-            edge_prog.exported_program, qnn_partitioner
-        )
-        edge_prog.exported_program.graph_module.graph.print_tabular()
-        exec_prog = edge_prog.to_executorch(config=executorch_config)
-        with open(f"{file_name}.pte", "wb") as file:
-            file.write(exec_prog.buffer)
-    else:
-        edge_prog_mgr = EdgeProgramManager(
-            edge_programs={"forward": edge_prog.exported_program},
-            constant_methods=metadata,
-            compile_config=EdgeCompileConfig(_check_ir_validity=False),
-        )
-
-        edge_prog_mgr = edge_prog_mgr.to_backend(qnn_partitioner)
-        exec_prog_mgr = edge_prog_mgr.to_executorch(config=executorch_config)
-        with open(f"{file_name}.pte", "wb") as file:
-            file.write(exec_prog_mgr.buffer)
-
-
-def make_output_dir(path: str):
-    if os.path.exists(path):
-        for f in os.listdir(path):
-            os.remove(os.path.join(path, f))
-        os.removedirs(path)
-    os.makedirs(path)
-
-
-def topk_accuracy(predictions, targets, k):
-    def solve(prob, target, k):
-        _, indices = torch.topk(prob, k=k, sorted=True)
-        golden = torch.reshape(target, [-1, 1])
-        correct = (golden == indices) * 1.0
-        top_k_accuracy = torch.mean(correct) * k
-        return top_k_accuracy
-
-    cnt = 0
-    for index, pred in enumerate(predictions):
-        cnt += solve(torch.from_numpy(pred), targets[index], k)
-
-    return cnt * 100.0 / len(predictions)
-
-
-def segmentation_metrics(predictions, targets, classes):
-    def make_confusion(goldens, predictions, num_classes):
-        def histogram(golden, predict):
-            mask = golden < num_classes
-            hist = np.bincount(
-                num_classes * golden[mask].astype(int) + predict[mask],
-                minlength=num_classes**2,
-            ).reshape(num_classes, num_classes)
-            return hist
-
-        confusion = np.zeros((num_classes, num_classes))
-        for g, p in zip(goldens, predictions):
-            confusion += histogram(g.flatten(), p.flatten())
-
-        return confusion
-
-    eps = 1e-6
-    confusion = make_confusion(targets, predictions, len(classes))
-    pa = np.diag(confusion).sum() / (confusion.sum() + eps)
-    mpa = np.mean(np.diag(confusion) / (confusion.sum(axis=1) + eps))
-    iou = np.diag(confusion) / (
-        confusion.sum(axis=1) + confusion.sum(axis=0) - np.diag(confusion) + eps
-    )
-    miou = np.mean(iou)
-    cls_iou = dict(zip(classes, iou))
-    return (pa, mpa, miou, cls_iou)
-
-
-def setup_common_args_and_variables():
-    parser = argparse.ArgumentParser()
-
-    parser.add_argument(
-        "-m",
-        "--model",
-        help="SoC model of current device. e.g. 'SM8550' for Snapdragon 8 Gen 2.",
-        type=str,
-        required=True,
-    )
-
-    parser.add_argument(
-        "-b",
-        "--build_folder",
-        help="path to cmake binary directory for android, e.g., /path/to/build_android",
-        type=str,
-        required=True,
-    )
-
-    parser.add_argument(
-        "-H",
-        "--host",
-        help="hostname where android device is connected.",
-        default=None,
-        type=str,
-    )
-
-    parser.add_argument(
-        "--ip",
-        help="IPC address for delivering execution result",
-        default="",
-        type=str,
-    )
-
-    parser.add_argument(
-        "--port",
-        help="IPC port for delivering execution result",
-        default=-1,
-        type=int,
-    )
-
-    parser.add_argument(
-        "-S",
-        "--skip_delegate_node_ids",
-        help="If specified, skip delegation for the specified node based on node ids. Node ids should be seperated by comma. e.g., aten_relu_default_10,aten_relu_default_2",
-        default=None,
-        type=str,
-    )
-
-    parser.add_argument(
-        "-f",
-        "--skip_delegate_node_ops",
-        help="If specified, skip delegation for the specified op. Node ops should be seperated by comma. e.g., aten.add.Tensor,aten.relu.default",
-        default=None,
-        type=str,
-    )
-
-    parser.add_argument(
-        "-c",
-        "--compile_only",
-        help="If specified, only compile the model.",
-        action="store_true",
-        default=False,
-    )
-
-    parser.add_argument(
-        "-s",
-        "--device",
-        help="serial number for android device communicated via ADB.",
-        type=str,
-    )
-
-    parser.add_argument(
-        "-z",
-        "--shared_buffer",
-        help="Enables usage of shared buffer between application and backend for graph I/O.",
-        action="store_true",
-    )
-
-    # QNN_SDK_ROOT might also be an argument, but it is used in various places.
-    # So maybe it's fine to just use the environment.
-    if "QNN_SDK_ROOT" not in os.environ:
-        raise RuntimeError("Environment variable QNN_SDK_ROOT must be set")
-    print(f"QNN_SDK_ROOT={os.getenv('QNN_SDK_ROOT')}")
-
-    if "LD_LIBRARY_PATH" not in os.environ:
-        print(
-            "[Warning] LD_LIBRARY_PATH is not set. If errors like libQnnHtp.so "
-            "not found happen, please follow setup.md to set environment."
-        )
-    else:
-        print(f"LD_LIBRARY_PATH={os.getenv('LD_LIBRARY_PATH')}")
-
-    return parser
-
-
-def parse_skip_delegation_node(args):
-    skip_node_id_set = set()
-    skip_node_op_set = set()
-
-    if args.skip_delegate_node_ids is not None:
-        skip_node_id_set = set(map(str, args.skip_delegate_node_ids.split(",")))
-        print("Skipping following node ids: ", skip_node_id_set)
-
-    if args.skip_delegate_node_ops is not None:
-        skip_node_op_set = set(map(str, args.skip_delegate_node_ops.split(",")))
-        print("Skipping following node ops: ", skip_node_op_set)
-
-    return skip_node_id_set, skip_node_op_set
diff --git a/examples/qualcomm/utils.py b/examples/qualcomm/utils.py
new file mode 100755
index 0000000000..9c4cd4453f
--- /dev/null
+++ b/examples/qualcomm/utils.py
@@ -0,0 +1,499 @@
+# Copyright (c) Qualcomm Innovation Center, Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import argparse
+import os
+import subprocess
+import sys
+from pathlib import Path
+
+from typing import Callable, List, Optional
+
+import numpy as np
+
+import torch
+from executorch.backends.qualcomm.partition.qnn_partitioner import QnnPartitioner
+from executorch.backends.qualcomm.quantizer.quantizer import (
+    get_16a4w_qnn_ptq_config,
+    get_default_16bit_qnn_ptq_config,
+    get_default_8bit_qnn_ptq_config,
+    QnnQuantizer,
+    QuantDtype,
+)
+from executorch.backends.qualcomm.serialization.qnn_compile_spec_schema import (
+    QcomChipset,
+)
+from executorch.backends.qualcomm.utils.utils import (
+    capture_program,
+    generate_htp_compiler_spec,
+    generate_qnn_executorch_compiler_spec,
+)
+from executorch.exir import EdgeCompileConfig, EdgeProgramManager, to_edge
+from executorch.exir.backend.backend_api import to_backend
+from executorch.exir.capture._config import ExecutorchBackendConfig
+from executorch.exir.passes.memory_planning_pass import MemoryPlanningPass
+from torch.ao.quantization.observer import MovingAverageMinMaxObserver
+from torch.ao.quantization.quantize_pt2e import convert_pt2e, prepare_pt2e
+
+
+class SimpleADB:
+    """
+    A wrapper class for communicating with Android device
+
+    Attributes:
+        qnn_sdk (str): QNN SDK path setup in environment variable
+        build_path (str): Path where artifacts were built
+        pte_path (str): Path where executorch binary was stored
+        workspace (str): Folder for storing artifacts on android device
+        device_id (str): Serial number of android device
+        soc_model (str): Chipset of device
+        host_id (str): Hostname of machine where device connects
+        error_only (bool): Redirect stdio and leave error messages only
+        shared_buffer (bool): Apply zero-copy mechanism in runtime
+        runner (str): Runtime executor binary
+    """
+
+    def __init__(
+        self,
+        qnn_sdk,
+        build_path,
+        pte_path,
+        workspace,
+        device_id,
+        soc_model,
+        host_id=None,
+        error_only=False,
+        shared_buffer=False,
+        dump_intermediate_outputs=False,
+        runner="examples/qualcomm/executor_runner/qnn_executor_runner",
+    ):
+        self.qnn_sdk = qnn_sdk
+        self.build_path = build_path
+        self.pte_path = pte_path if isinstance(pte_path, list) else [pte_path]
+        self.workspace = workspace
+        self.device_id = device_id
+        self.host_id = host_id
+        self.working_dir = Path(self.pte_path[0]).parent.absolute()
+        self.input_list_filename = "input_list.txt"
+        self.etdump_path = f"{self.workspace}/etdump.etdp"
+        self.dump_intermediate_outputs = dump_intermediate_outputs
+        self.debug_output_path = f"{self.workspace}/debug_output.bin"
+        self.output_folder = f"{self.workspace}/outputs"
+        self.arch_table = {
+            "SM8650": "75",
+            "SM8550": "73",
+            "SM8475": "69",
+            "SM8450": "69",
+        }
+        self.soc_model = self.arch_table[soc_model]
+        self.error_only = error_only
+        self.shared_buffer = shared_buffer
+        self.runner = runner
+
+    def _adb(self, cmd):
+        if not self.host_id:
+            cmds = ["adb", "-s", self.device_id]
+        else:
+            cmds = ["adb", "-H", self.host_id, "-s", self.device_id]
+        cmds.extend(cmd)
+
+        subprocess.run(
+            cmds, stdout=subprocess.DEVNULL if self.error_only else sys.stdout
+        )
+
+    def push(self, inputs=None, input_list=None, files=None):
+        self._adb(["shell", f"rm -rf {self.workspace}"])
+        self._adb(["shell", f"mkdir -p {self.workspace}"])
+
+        # necessary artifacts
+        artifacts = [
+            *self.pte_path,
+            f"{self.qnn_sdk}/lib/aarch64-android/libQnnHtp.so",
+            (
+                f"{self.qnn_sdk}/lib/hexagon-v{self.soc_model}/"
+                f"unsigned/libQnnHtpV{self.soc_model}Skel.so"
+            ),
+            (
+                f"{self.qnn_sdk}/lib/aarch64-android/"
+                f"libQnnHtpV{self.soc_model}Stub.so"
+            ),
+            f"{self.qnn_sdk}/lib/aarch64-android/libQnnHtpPrepare.so",
+            f"{self.qnn_sdk}/lib/aarch64-android/libQnnSystem.so",
+            f"{self.build_path}/{self.runner}",
+            f"{self.build_path}/backends/qualcomm/libqnn_executorch_backend.so",
+        ]
+        input_list_file, input_files = generate_inputs(
+            self.working_dir, self.input_list_filename, inputs, input_list
+        )
+
+        if input_list_file is not None:
+            # prepare input list
+            artifacts.append(input_list_file)
+
+        for artifact in artifacts:
+            self._adb(["push", artifact, self.workspace])
+
+        # input data
+        for file_name in input_files:
+            self._adb(["push", file_name, self.workspace])
+
+        # custom files
+        if files is not None:
+            for file_name in files:
+                self._adb(["push", file_name, self.workspace])
+
+    def execute(self, custom_runner_cmd=None):
+        self._adb(["shell", f"mkdir -p {self.output_folder}"])
+        # run the delegation
+        if custom_runner_cmd is None:
+            qnn_executor_runner_args = " ".join(
+                [
+                    f"--model_path {os.path.basename(self.pte_path[0])}",
+                    f"--output_folder_path {self.output_folder}",
+                    f"--input_list_path {self.input_list_filename}",
+                    f"--etdump_path {self.etdump_path}",
+                    "--shared_buffer" if self.shared_buffer else "",
+                    f"--debug_output_path {self.debug_output_path}",
+                    (
+                        "--dump_intermediate_outputs"
+                        if self.dump_intermediate_outputs
+                        else ""
+                    ),
+                ]
+            )
+            qnn_executor_runner_cmds = " ".join(
+                [
+                    f"cd {self.workspace} &&",
+                    f"./qnn_executor_runner {qnn_executor_runner_args}",
+                ]
+            )
+        else:
+            qnn_executor_runner_cmds = custom_runner_cmd
+
+        self._adb(["shell", f"{qnn_executor_runner_cmds}"])
+
+    def pull(self, output_path, callback=None):
+        self._adb(["pull", "-a", self.output_folder, output_path])
+        if callback:
+            callback()
+
+    def pull_etdump(self, output_path, callback=None):
+        self._adb(["pull", self.etdump_path, output_path])
+        if callback:
+            callback()
+
+    def pull_debug_output(self, etdump_path, debug_ouput_path, callback=None):
+        self._adb(["pull", self.etdump_path, etdump_path])
+        self._adb(["pull", self.debug_output_path, debug_ouput_path])
+        if callback:
+            callback()
+
+
+def make_quantizer(
+    quant_dtype: Optional[QuantDtype],
+    custom_annotations=(),
+    per_channel_conv=True,
+    per_channel_linear=False,
+    act_observer=MovingAverageMinMaxObserver,
+):
+    quantizer = QnnQuantizer()
+    quantizer.add_custom_quant_annotations(custom_annotations)
+    quantizer.set_per_channel_conv_quant(per_channel_conv)
+    quantizer.set_per_channel_linear_quant(per_channel_linear)
+
+    if quant_dtype == QuantDtype.use_8a8w:
+        quantizer.set_bit8_op_quant_config(
+            get_default_8bit_qnn_ptq_config(act_observer=act_observer)
+        )
+    elif quant_dtype == QuantDtype.use_16a16w:
+        quantizer.add_16bit_quant_ops(quantizer.SUPPORTED_OPS)
+        quantizer.set_bit16_op_quant_config(
+            get_default_16bit_qnn_ptq_config(act_observer=act_observer)
+        )
+    elif quant_dtype == QuantDtype.use_16a4w:
+        quantizer.add_16bit_quant_ops(quantizer.SUPPORTED_OPS)
+        quantizer.set_bit16_op_quant_config(
+            get_16a4w_qnn_ptq_config(act_observer=act_observer)
+        )
+        quantizer.set_per_channel_weight_dtype(weight_dtype_for_16bit_act="int4")
+    else:
+        raise AssertionError(f"No support for QuantDtype {quant_dtype}.")
+
+    return quantizer
+
+
+# TODO: refactor to support different backends
+def build_executorch_binary(
+    model,  # noqa: B006
+    inputs,  # noqa: B006
+    soc_model,
+    file_name,
+    dataset: List[torch.Tensor] | Callable[[torch.fx.GraphModule], None],
+    custom_annotations=(),
+    skip_node_id_set=None,
+    skip_node_op_set=None,
+    quant_dtype: Optional[QuantDtype] = None,
+    per_channel_linear=False,  # TODO: remove this once QNN fully supports linear
+    shared_buffer=False,
+    metadata=None,
+    act_observer=MovingAverageMinMaxObserver,
+    dump_intermediate_outputs=False,
+):
+    if quant_dtype is not None:
+        quantizer = make_quantizer(
+            quant_dtype=quant_dtype,
+            custom_annotations=custom_annotations,
+            per_channel_conv=True,
+            per_channel_linear=per_channel_linear,
+            act_observer=act_observer,
+        )
+        captured_model = torch.export.export(model, inputs).module()
+        annotated_model = prepare_pt2e(captured_model, quantizer)
+        print("Quantizing the model...")
+        # calibration
+        if callable(dataset):
+            dataset(annotated_model)
+        else:
+            for data in dataset:
+                annotated_model(*data)
+
+        quantized_model = convert_pt2e(annotated_model)
+        edge_prog = capture_program(quantized_model, inputs)
+    else:
+        edge_prog = capture_program(model, inputs)
+
+    backend_options = generate_htp_compiler_spec(
+        use_fp16=False if quant_dtype else True
+    )
+    qnn_partitioner = QnnPartitioner(
+        generate_qnn_executorch_compiler_spec(
+            soc_model=getattr(QcomChipset, soc_model),
+            backend_options=backend_options,
+            shared_buffer=shared_buffer,
+            dump_intermediate_outputs=dump_intermediate_outputs,
+        ),
+        skip_node_id_set,
+        skip_node_op_set,
+    )
+
+    executorch_config = ExecutorchBackendConfig(
+        # For shared buffer, user must pass the memory address
+        # which is allocated by RPC memory to executor runner.
+        # Therefore, won't want to pre-allocate
+        # by memory manager in runtime.
+        memory_planning_pass=MemoryPlanningPass(
+            alloc_graph_input=not shared_buffer,
+            alloc_graph_output=not shared_buffer,
+        ),
+    )
+
+    if metadata is None:
+        exported_program = to_backend(edge_prog.exported_program, qnn_partitioner)
+        exported_program.graph_module.graph.print_tabular()
+        exec_prog = to_edge(exported_program).to_executorch(config=executorch_config)
+        with open(f"{file_name}.pte", "wb") as file:
+            file.write(exec_prog.buffer)
+    else:
+        edge_prog_mgr = EdgeProgramManager(
+            edge_programs={"forward": edge_prog.exported_program},
+            constant_methods=metadata,
+            compile_config=EdgeCompileConfig(_check_ir_validity=False),
+        )
+
+        edge_prog_mgr = edge_prog_mgr.to_backend(qnn_partitioner)
+        exec_prog_mgr = edge_prog_mgr.to_executorch(config=executorch_config)
+        with open(f"{file_name}.pte", "wb") as file:
+            file.write(exec_prog_mgr.buffer)
+
+
+def make_output_dir(path: str):
+    if os.path.exists(path):
+        for f in os.listdir(path):
+            os.remove(os.path.join(path, f))
+        os.removedirs(path)
+    os.makedirs(path)
+
+
+def topk_accuracy(predictions, targets, k):
+    def solve(prob, target, k):
+        _, indices = torch.topk(prob, k=k, sorted=True)
+        golden = torch.reshape(target, [-1, 1])
+        correct = (golden == indices) * 1.0
+        top_k_accuracy = torch.mean(correct) * k
+        return top_k_accuracy
+
+    cnt = 0
+    for index, pred in enumerate(predictions):
+        cnt += solve(torch.from_numpy(pred), targets[index], k)
+
+    return cnt * 100.0 / len(predictions)
+
+
+def segmentation_metrics(predictions, targets, classes):
+    def make_confusion(goldens, predictions, num_classes):
+        def histogram(golden, predict):
+            mask = golden < num_classes
+            hist = np.bincount(
+                num_classes * golden[mask].astype(int) + predict[mask],
+                minlength=num_classes**2,
+            ).reshape(num_classes, num_classes)
+            return hist
+
+        confusion = np.zeros((num_classes, num_classes))
+        for g, p in zip(goldens, predictions):
+            confusion += histogram(g.flatten(), p.flatten())
+
+        return confusion
+
+    eps = 1e-6
+    confusion = make_confusion(targets, predictions, len(classes))
+    pa = np.diag(confusion).sum() / (confusion.sum() + eps)
+    mpa = np.mean(np.diag(confusion) / (confusion.sum(axis=1) + eps))
+    iou = np.diag(confusion) / (
+        confusion.sum(axis=1) + confusion.sum(axis=0) - np.diag(confusion) + eps
+    )
+    miou = np.mean(iou)
+    cls_iou = dict(zip(classes, iou))
+    return (pa, mpa, miou, cls_iou)
+
+
+def setup_common_args_and_variables():
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "-m",
+        "--model",
+        help="SoC model of current device. e.g. 'SM8550' for Snapdragon 8 Gen 2.",
+        type=str,
+        required=True,
+    )
+
+    parser.add_argument(
+        "-b",
+        "--build_folder",
+        help="path to cmake binary directory for android, e.g., /path/to/build-android",
+        type=str,
+        required=True,
+    )
+
+    parser.add_argument(
+        "-H",
+        "--host",
+        help="hostname where android device is connected.",
+        default=None,
+        type=str,
+    )
+
+    parser.add_argument(
+        "--ip",
+        help="IPC address for delivering execution result",
+        default="",
+        type=str,
+    )
+
+    parser.add_argument(
+        "--port",
+        help="IPC port for delivering execution result",
+        default=-1,
+        type=int,
+    )
+
+    parser.add_argument(
+        "-S",
+        "--skip_delegate_node_ids",
+        help="If specified, skip delegation for the specified node based on node ids. Node ids should be seperated by comma. e.g., aten_relu_default_10,aten_relu_default_2",
+        default=None,
+        type=str,
+    )
+
+    parser.add_argument(
+        "-f",
+        "--skip_delegate_node_ops",
+        help="If specified, skip delegation for the specified op. Node ops should be seperated by comma. e.g., aten.add.Tensor,aten.relu.default",
+        default=None,
+        type=str,
+    )
+
+    parser.add_argument(
+        "-c",
+        "--compile_only",
+        help="If specified, only compile the model.",
+        action="store_true",
+        default=False,
+    )
+
+    parser.add_argument(
+        "-s",
+        "--device",
+        help="serial number for android device communicated via ADB.",
+        type=str,
+    )
+
+    parser.add_argument(
+        "-z",
+        "--shared_buffer",
+        help="Enables usage of shared buffer between application and backend for graph I/O.",
+        action="store_true",
+    )
+
+    parser.add_argument(
+        "--skip_push",
+        help="If specified, skip pushing files to device.",
+        action="store_true",
+        default=False,
+    )
+
+    parser.add_argument(
+        "--dump_intermediate_outputs",
+        help="If specified, enable dump intermediate outputs",
+        action="store_true",
+        default=False,
+    )
+
+    # QNN_SDK_ROOT might also be an argument, but it is used in various places.
+    # So maybe it's fine to just use the environment.
+    if "QNN_SDK_ROOT" not in os.environ:
+        raise RuntimeError("Environment variable QNN_SDK_ROOT must be set")
+    print(f"QNN_SDK_ROOT={os.getenv('QNN_SDK_ROOT')}")
+
+    return parser
+
+
+def parse_skip_delegation_node(args):
+    skip_node_id_set = set()
+    skip_node_op_set = set()
+
+    if args.skip_delegate_node_ids is not None:
+        skip_node_id_set = set(map(str, args.skip_delegate_node_ids.split(",")))
+        print("Skipping following node ids: ", skip_node_id_set)
+
+    if args.skip_delegate_node_ops is not None:
+        skip_node_op_set = set(map(str, args.skip_delegate_node_ops.split(",")))
+        print("Skipping following node ops: ", skip_node_op_set)
+
+    return skip_node_id_set, skip_node_op_set
+
+
+def generate_inputs(dest_path: str, file_name: str, inputs=None, input_list=None):
+    input_list_file = None
+    input_files = []
+
+    # Prepare input list
+    if input_list is not None:
+        input_list_file = f"{dest_path}/{file_name}"
+        with open(input_list_file, "w") as f:
+            f.write(input_list)
+            f.flush()
+
+    # Prepare input data
+    if inputs is not None:
+        for idx, data in enumerate(inputs):
+            for i, d in enumerate(data):
+                file_name = f"{dest_path}/input_{idx}_{i}.raw"
+                d.detach().numpy().tofile(file_name)
+                input_files.append(file_name)
+
+    return input_list_file, input_files
diff --git a/examples/sdk/CMakeLists.txt b/examples/sdk/CMakeLists.txt
deleted file mode 100644
index 5345c0b537..0000000000
--- a/examples/sdk/CMakeLists.txt
+++ /dev/null
@@ -1,63 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-# Example CMakeLists.txt for building executor_runner with sdk support. In this
-# example we link sdk and bundled_program libraries into executor_runner binary
-cmake_minimum_required(VERSION 3.19)
-project(sdk_example)
-
-set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
-if(NOT CMAKE_CXX_STANDARD)
-  set(CMAKE_CXX_STANDARD 17)
-endif()
-
-# Source root directory for executorch.
-if(NOT EXECUTORCH_ROOT)
-  set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../..)
-endif()
-
-include(${EXECUTORCH_ROOT}/build/Utils.cmake)
-include(${EXECUTORCH_ROOT}/build/Codegen.cmake)
-
-if(NOT PYTHON_EXECUTABLE)
-  resolve_python_executable()
-endif()
-
-set(_common_compile_options -Wno-deprecated-declarations -fPIC)
-
-# Let files say "include <executorch/path/to/header.h>".
-set(_common_include_directories ${EXECUTORCH_ROOT}/..)
-
-# Find prebuilt libraries. executorch package should contain portable_ops_lib,
-# etdump, bundled_program.
-find_package(executorch CONFIG REQUIRED)
-target_link_options_shared_lib(executorch)
-target_link_options_shared_lib(portable_ops_lib)
-
-target_include_directories(executorch INTERFACE ${_common_include_directories})
-
-find_package(
-  gflags REQUIRED PATHS ${CMAKE_CURRENT_BINARY_DIR}/../../third-party
-)
-
-add_executable(sdk_example_runner sdk_example_runner/sdk_example_runner.cpp)
-target_compile_options(executorch INTERFACE -DET_EVENT_TRACER_ENABLED)
-
-target_include_directories(
-  etdump INTERFACE ${CMAKE_CURRENT_BINARY_DIR}/../../sdk/include
-                   ${EXECUTORCH_ROOT}/third-party/flatcc/include
-)
-target_link_libraries(
-  sdk_example_runner
-  executorch
-  gflags
-  etdump
-  extension_data_loader
-  bundled_program
-  flatccrt
-  portable_ops_lib
-  portable_kernels
-)
diff --git a/examples/sdk/README.md b/examples/sdk/README.md
deleted file mode 100644
index 68043517fb..0000000000
--- a/examples/sdk/README.md
+++ /dev/null
@@ -1,86 +0,0 @@
-# SDK Examples
-This directory contains examples of BundledProgram and ETDump generation.
-
-## Directory structure
-```bash
-examples/sdk
-├── scripts                           # Python scripts to illustrate export workflow of bundled program.
-├── sdk_executor_runner               # Contains an example for both BundledProgram to verify ExecuTorch model, and generate ETDump for runtime results.
-└── README.md                         # Current file
-```
-
-## BundledProgram
-
-We will use an example model (in `torch.nn.Module`) and its representative inputs, both from [`models/`](../models) directory, to generate a [BundledProgram(`.bpte`)](../../docs/source/sdk-bundled-io.md) file using the [script](scripts/export_bundled_program.py). Then we will use [sdk_example_runner](sdk_example_runner/sdk_example_runner.cpp) to execute the `.bpte` model on the ExecuTorch runtime and verify the model on BundledProgram API.
-
-
-1. Sets up the basic development environment for ExecuTorch by [Setting up ExecuTorch from GitHub](https://pytorch.org/executorch/stable/getting-started-setup).
-
-2. Using the [script](scripts/export_bundled_program.py) to generate a BundledProgram binary file by retreiving a `torch.nn.Module` model and its representative inputs from the list of available models in the [`models/`](../models) dir。
-
-```bash
-cd executorch # To the top level dir
-
-# To get a list of example models
-python3 -m examples.sdk.scripts.export_bundled_program -h
-
-# To generate a specific `.bpte` model
-python3 -m examples.sdk.scripts.export_bundled_program -m mv2 # for MobileNetv2
-
-# This should generate ./mv2_bundled.bpte file, if successful.
-```
-
-3. Once we have the BundledProgram binary (`.bpte`) file, then let's run and verify it with ExecuTorch runtime and BundledProgram APIs using the [sdk_example_runner](sdk_example_runner/sdk_example_runner.cpp).
-
-```bash
-   cd executorch
-   rm -rf cmake-out && mkdir cmake-out && cd cmake-out && cmake -DEXECUTORCH_BUILD_SDK=1 -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=1 ..
-   cd ..
-   cmake --build cmake-out -j8 -t sdk_example_runner
-   ./cmake-out/examples/sdk/sdk_example_runner --bundled_program_path mv2_bundled.bpte --output_verification
-   ```
-
-
-## ETDump
-
-### Getting Started
-
-After exporting a `BundledProgram`, runtime profiling and debug data can be collected in an ``ETDump``. An ``ETDump`` is a buffer containing data generated by hooks within the ExecuTorch runtime.
-We offer an example runner that accepts a `BundledProgram` (`.bpte`) and runs a single iteration over the first method defined.
-
-Running the program will generate an `ETDump` file (`.etdp`) at the location specified by `--etdump_path`. Make sure to build the program as specified below to enable the event tracer.
-
-```bash
-   ./cmake-out/examples/sdk/sdk_example_runner --bundled_program_path mv2_bundled.bpte --etdump_path mv2_etdump.etdp
-   ```
-
-### Parsing ETDump
-
-Once an `ETDump` has been generated, it can be viewed using the CLI inspector. This will print a tabular view of the data recorded in the ETDump.
-
-```bash
-   python3 -m sdk.inspector.inspector_cli --etdump_path mv2_etdump.etdp
-   ```
-### ETDump C++ API
-
-ETDump profiling can also be used in a custom C++ program. `ETDumpGen` is an implementation of the abstract `EventTracer` class.  Include the header file located at `sdk/etdump/etdump_flatcc.h`. To initialize the ETDump generator, construct it before loading the method from the program.
-
-```cpp
-   torch::executor::ETDumpGen etdump_gen = torch::executor::ETDumpGen();
-   Result<Method> method =
-      program->load_method(method_name, &memory_manager, &etdump_gen);
-   ```
-
-Since the `EventTracer` hooks are embedded within the runtime, profiling and debug data will be automatically recorded.
-
-Once execution has completed, finalize the ETDump buffer. This returns an `etdump_result`, a struct with the finalized buffer and its size.
-
-```cpp
-   etdump_result result = etdump_gen.get_etdump_data();
-   if (result.buf != nullptr && result.size > 0) {
-    FILE* f = fopen(FLAGS_etdump_path.c_str(), "w+");
-    fwrite((uint8_t*)result.buf, 1, result.size, f);
-    fclose(f);
-    free(result.buf);
-  }
-   ```
diff --git a/examples/sdk/build_sdk_example_runner.sh b/examples/sdk/build_sdk_example_runner.sh
deleted file mode 100755
index 291febb36d..0000000000
--- a/examples/sdk/build_sdk_example_runner.sh
+++ /dev/null
@@ -1,50 +0,0 @@
-#!/bin/bash
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-# Builds sdk_example_runner and prints its path.
-
-set -euo pipefail
-
-SCRIPT_DIR="$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )"
-readonly SCRIPT_DIR
-
-readonly EXECUTORCH_ROOT="${SCRIPT_DIR}/../.."
-
-# Allow overriding the number of build jobs. Default to 9.
-export CMAKE_BUILD_PARALLEL_LEVEL="${CMAKE_BUILD_PARALLEL_LEVEL:-9}"
-
-main() {
-  cd "${EXECUTORCH_ROOT}"
-
-  rm -rf cmake-out
-  cmake -DCMAKE_INSTALL_PREFIX=cmake-out \
-      -DCMAKE_BUILD_TYPE=Release \
-      -DEXECUTORCH_BUILD_SDK=ON \
-      -DEXECUTORCH_ENABLE_EVENT_TRACER=ON \
-      -Bcmake-out .
-  cmake --build cmake-out --target install --config Release
-
-  local example_dir=examples/sdk
-  local build_dir="cmake-out/${example_dir}"
-  local cmake_prefix_path="${PWD}/cmake-out/lib/cmake/ExecuTorch;${PWD}/cmake-out/third-party/gflags"
-  rm -rf ${build_dir}
-  cmake -DCMAKE_PREFIX_PATH="${cmake_prefix_path}" \
-      -DCMAKE_BUILD_TYPE=Release \
-      -B"${build_dir}" \
-      "${example_dir}"
-  cmake --build "${build_dir}" --config Release
-
-  local runner="${PWD}/${build_dir}/sdk_example_runner"
-  if [[ ! -f "${runner}" ]]; then
-    echo "ERROR: Failed to build ${build_dir}/sdk_example_runner" >&2
-    exit 1
-  else
-    echo "Built ${build_dir}/sdk_example_runner"
-  fi
-}
-
-main "$@"
diff --git a/examples/sdk/sdk_example_runner/sdk_example_runner.cpp b/examples/sdk/sdk_example_runner/sdk_example_runner.cpp
deleted file mode 100644
index e2e42ab670..0000000000
--- a/examples/sdk/sdk_example_runner/sdk_example_runner.cpp
+++ /dev/null
@@ -1,301 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-/**
- * @file
- *
- * This tool can run ExecuTorch model files that only use operators that
- * are covered by the portable kernels, with possible delegate to the
- * test_backend_compiler_lib.
- *
- * It sets all input tensor data to ones, and assumes that the outputs are
- * all fp32 tensors.
- */
-
-#include <fstream>
-#include <memory>
-
-#include <gflags/gflags.h>
-
-#include <executorch/extension/data_loader/buffer_data_loader.h>
-#include <executorch/runtime/executor/method.h>
-#include <executorch/runtime/executor/program.h>
-#include <executorch/runtime/platform/log.h>
-#include <executorch/runtime/platform/runtime.h>
-#include <executorch/sdk/bundled_program/bundled_program.h>
-#include <executorch/sdk/etdump/etdump_flatcc.h>
-#include <executorch/util/util.h>
-
-static uint8_t method_allocator_pool[4 * 1024U * 1024U]; // 4MB
-static constexpr size_t kBundledAllocatorPoolSize = 16 * 1024U;
-static uint8_t bundled_allocator_pool[kBundledAllocatorPoolSize];
-
-DEFINE_string(
-    bundled_program_path,
-    "model_bundled.bpte",
-    "Model serialized in flatbuffer format.");
-
-DEFINE_int32(
-    testset_idx,
-    0,
-    "Index of bundled verification set to be run "
-    "by bundled model for verification");
-
-DEFINE_string(
-    etdump_path,
-    "etdump.etdp",
-    "If etdump generation is enabled an etdump will be written out to this path");
-
-DEFINE_bool(
-    output_verification,
-    false,
-    "Comapre the model output to the reference outputs present in the BundledProgram.");
-
-DEFINE_bool(
-    print_output,
-    false,
-    "Print the output of the ET model to stdout, if needs.");
-
-DEFINE_bool(dump_outputs, false, "Dump outputs to etdump file");
-
-DEFINE_bool(
-    dump_intermediate_outputs,
-    false,
-    "Dump intermediate outputs to etdump file.");
-
-DEFINE_string(
-    debug_output_path,
-    "debug_output.bin",
-    "Path to dump debug outputs to.");
-
-DEFINE_int32(
-    debug_buffer_size,
-    262144, // 256 KB
-    "Size of the debug buffer in bytes to allocate for intermediate outputs and program outputs logging.");
-
-using namespace torch::executor;
-
-std::vector<uint8_t> load_file_or_die(const char* path) {
-  std::ifstream file(path, std::ios::binary | std::ios::ate);
-  const size_t nbytes = file.tellg();
-  file.seekg(0, std::ios::beg);
-  auto file_data = std::vector<uint8_t>(nbytes);
-  ET_CHECK_MSG(
-      file.read(reinterpret_cast<char*>(file_data.data()), nbytes),
-      "Could not load contents of file '%s'",
-      path);
-  return file_data;
-}
-
-int main(int argc, char** argv) {
-  runtime_init();
-
-  gflags::ParseCommandLineFlags(&argc, &argv, true);
-  if (argc != 1) {
-    std::string msg = "Extra commandline args:";
-    for (int i = 1 /* skip argv[0] (program name) */; i < argc; i++) {
-      msg += std::string(" ") + argv[i];
-    }
-    ET_LOG(Error, "%s", msg.c_str());
-    return 1;
-  }
-
-  // Read in the entire file.
-  const char* bundled_program_path = FLAGS_bundled_program_path.c_str();
-  std::vector<uint8_t> file_data = load_file_or_die(bundled_program_path);
-
-  // Find the offset to the embedded Program.
-  const void* program_data;
-  size_t program_data_len;
-  Error status = torch::executor::bundled_program::GetProgramData(
-      reinterpret_cast<void*>(file_data.data()),
-      file_data.size(),
-      &program_data,
-      &program_data_len);
-  ET_CHECK_MSG(
-      status == Error::Ok,
-      "GetProgramData() failed on file '%s': 0x%x",
-      bundled_program_path,
-      (unsigned int)status);
-
-  auto buffer_data_loader =
-      util::BufferDataLoader(program_data, program_data_len);
-
-  // Parse the program file. This is immutable, and can also be reused
-  // between multiple execution invocations across multiple threads.
-  Result<Program> program = Program::load(&buffer_data_loader);
-  if (!program.ok()) {
-    ET_LOG(Error, "Failed to parse model file %s", bundled_program_path);
-    return 1;
-  }
-  ET_LOG(Info, "Model file %s is loaded.", bundled_program_path);
-
-  // Use the first method in the program.
-  const char* method_name = nullptr;
-  {
-    const auto method_name_result = program->get_method_name(0);
-    ET_CHECK_MSG(method_name_result.ok(), "Program has no methods");
-    method_name = *method_name_result;
-  }
-  ET_LOG(Info, "Running method %s", method_name);
-
-  // MethodMeta describes the memory requirements of the method.
-  Result<MethodMeta> method_meta = program->method_meta(method_name);
-  ET_CHECK_MSG(
-      method_meta.ok(),
-      "Failed to get method_meta for %s: 0x%x",
-      method_name,
-      (unsigned int)method_meta.error());
-
-  //
-  // The runtime does not use malloc/new; it allocates all memory using the
-  // MemoryManger provided by the client. Clients are responsible for allocating
-  // the memory ahead of time, or providing MemoryAllocator subclasses that can
-  // do it dynamically.
-  //
-
-  // The method allocator is used to allocate all dynamic C++ metadata/objects
-  // used to represent the loaded method. This allocator is only used during
-  // loading a method of the program, which will return an error if there was
-  // not enough memory.
-  //
-  // The amount of memory required depends on the loaded method and the runtime
-  // code itself. The amount of memory here is usually determined by running the
-  // method and seeing how much memory is actually used, though it's possible to
-  // subclass MemoryAllocator so that it calls malloc() under the hood (see
-  // MallocMemoryAllocator).
-  //
-  // In this example we use a statically allocated memory pool.
-  MemoryAllocator method_allocator{
-      MemoryAllocator(sizeof(method_allocator_pool), method_allocator_pool)};
-
-  // The memory-planned buffers will back the mutable tensors used by the
-  // method. The sizes of these buffers were determined ahead of time during the
-  // memory-planning pasees.
-  //
-  // Each buffer typically corresponds to a different hardware memory bank. Most
-  // mobile environments will only have a single buffer. Some embedded
-  // environments may have more than one for, e.g., slow/large DRAM and
-  // fast/small SRAM, or for memory associated with particular cores.
-  std::vector<std::unique_ptr<uint8_t[]>> planned_buffers; // Owns the memory
-  std::vector<Span<uint8_t>> planned_spans; // Passed to the allocator
-  size_t num_memory_planned_buffers = method_meta->num_memory_planned_buffers();
-  for (size_t id = 0; id < num_memory_planned_buffers; ++id) {
-    // .get() will always succeed because id < num_memory_planned_buffers.
-    size_t buffer_size =
-        static_cast<size_t>(method_meta->memory_planned_buffer_size(id).get());
-    ET_LOG(Info, "Setting up planned buffer %zu, size %zu.", id, buffer_size);
-    planned_buffers.push_back(std::make_unique<uint8_t[]>(buffer_size));
-    planned_spans.push_back({planned_buffers.back().get(), buffer_size});
-  }
-  HierarchicalAllocator planned_memory(
-      {planned_spans.data(), planned_spans.size()});
-
-  // Assemble all of the allocators into the MemoryManager that the Executor
-  // will use.
-  MemoryManager memory_manager(&method_allocator, &planned_memory);
-
-  //
-  // Load the method from the program, using the provided allocators. Running
-  // the method can mutate the memory-planned buffers, so the method should only
-  // be used by a single thread at at time, but it can be reused.
-  //
-  torch::executor::ETDumpGen etdump_gen = torch::executor::ETDumpGen();
-  Result<Method> method =
-      program->load_method(method_name, &memory_manager, &etdump_gen);
-  ET_CHECK_MSG(
-      method.ok(),
-      "Loading of method %s failed with status 0x%" PRIx32,
-      method_name,
-      method.error());
-  ET_LOG(Info, "Method loaded.");
-
-  void* debug_buffer = malloc(FLAGS_debug_buffer_size);
-  if (FLAGS_dump_intermediate_outputs) {
-    Span<uint8_t> buffer((uint8_t*)debug_buffer, FLAGS_debug_buffer_size);
-    etdump_gen.set_debug_buffer(buffer);
-    etdump_gen.set_event_tracer_debug_level(
-        EventTracerDebugLogLevel::kIntermediateOutputs);
-  } else if (FLAGS_dump_outputs) {
-    Span<uint8_t> buffer((uint8_t*)debug_buffer, FLAGS_debug_buffer_size);
-    etdump_gen.set_debug_buffer(buffer);
-    etdump_gen.set_event_tracer_debug_level(
-        EventTracerDebugLogLevel::kProgramOutputs);
-  }
-  // Use the inputs embedded in the bundled program.
-  status = torch::executor::bundled_program::LoadBundledInput(
-      *method, file_data.data(), FLAGS_testset_idx);
-  ET_CHECK_MSG(
-      status == Error::Ok,
-      "LoadBundledInput failed with status 0x%" PRIx32,
-      status);
-
-  ET_LOG(Info, "Inputs prepared.");
-
-  // Run the model.
-  status = method->execute();
-  ET_CHECK_MSG(
-      status == Error::Ok,
-      "Execution of method %s failed with status 0x%" PRIx32,
-      method_name,
-      status);
-  ET_LOG(Info, "Model executed successfully.");
-
-  // Print the outputs.
-  if (FLAGS_print_output) {
-    std::vector<EValue> outputs(method->outputs_size());
-    status = method->get_outputs(outputs.data(), outputs.size());
-    ET_CHECK(status == Error::Ok);
-    for (EValue& output : outputs) {
-      // TODO(T159700776): This assumes that all outputs are fp32 tensors. Add
-      // support for other EValues and Tensor dtypes, and print tensors in a
-      // more readable way.
-      auto output_tensor = output.toTensor();
-      auto data_output = output_tensor.const_data_ptr<float>();
-      for (size_t j = 0; j < output_tensor.numel(); ++j) {
-        ET_LOG(Info, "%f", data_output[j]);
-      }
-    }
-  }
-
-  // Dump the etdump data containing profiling/debugging data to the specified
-  // file.
-  etdump_result result = etdump_gen.get_etdump_data();
-  if (result.buf != nullptr && result.size > 0) {
-    FILE* f = fopen(FLAGS_etdump_path.c_str(), "w+");
-    fwrite((uint8_t*)result.buf, 1, result.size, f);
-    fclose(f);
-    free(result.buf);
-  }
-
-  if (FLAGS_output_verification) {
-    // Verify the outputs.
-    status =
-        torch::executor::bundled_program::VerifyResultWithBundledExpectedOutput(
-            *method,
-            file_data.data(),
-            FLAGS_testset_idx,
-            1e-3, // rtol
-            1e-5 // atol
-        );
-    ET_CHECK_MSG(
-        status == Error::Ok,
-        "Bundle verification failed with status 0x%" PRIx32,
-        status);
-    ET_LOG(Info, "Model verified successfully.");
-  }
-
-  if (FLAGS_dump_outputs || FLAGS_dump_intermediate_outputs) {
-    FILE* f = fopen(FLAGS_debug_output_path.c_str(), "w+");
-    fwrite((uint8_t*)debug_buffer, 1, FLAGS_debug_buffer_size, f);
-    fclose(f);
-  }
-  free(debug_buffer);
-
-  return 0;
-}
diff --git a/examples/sdk/sdk_example_runner/targets.bzl b/examples/sdk/sdk_example_runner/targets.bzl
deleted file mode 100644
index a5e8feb33c..0000000000
--- a/examples/sdk/sdk_example_runner/targets.bzl
+++ /dev/null
@@ -1,31 +0,0 @@
-load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "get_oss_build_kwargs", "runtime")
-
-def define_common_targets():
-    """Defines targets that should be shared between fbcode and xplat.
-
-    The directory containing this targets.bzl file should also contain both
-    TARGETS and BUCK files that call this function.
-    """
-
-    # Test driver for models with bundled inputs.
-    runtime.cxx_binary(
-        name = "sdk_example_runner",
-        srcs = [
-            "sdk_example_runner.cpp",
-        ],
-        deps = [
-            "//executorch/runtime/executor/test:test_backend_compiler_lib",
-            "//executorch/kernels/portable:generated_lib",
-            "//executorch/runtime/executor:program",
-            "//executorch/extension/data_loader:file_data_loader",
-            "//executorch/extension/data_loader:buffer_data_loader",
-            "//executorch/util:util",
-            "//executorch/sdk/etdump:etdump_flatcc",
-            "//executorch/sdk/bundled_program:runtime",
-        ],
-        external_deps = [
-            "gflags",
-        ],
-        define_static_target = True,
-        **get_oss_build_kwargs()
-    )
diff --git a/examples/sdk/test_sdk_example_runner.sh b/examples/sdk/test_sdk_example_runner.sh
deleted file mode 100644
index 5185def655..0000000000
--- a/examples/sdk/test_sdk_example_runner.sh
+++ /dev/null
@@ -1,62 +0,0 @@
-#!/bin/bash
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-# Test the end-to-end flow of building sdk_example_runner and use it to run
-# an actual model.
-
-
-set -e
-
-# shellcheck source=/dev/null
-source "$(dirname "${BASH_SOURCE[0]}")/../../.ci/scripts/utils.sh"
-
-cmake_install_executorch_sdk_lib() {
-  echo "Installing libexecutorch.a, libportable_kernels.a, libetdump.a, libbundled_program.a"
-  rm -rf cmake-out
-
-  retry cmake -DCMAKE_INSTALL_PREFIX=cmake-out \
-          -DCMAKE_BUILD_TYPE=Release \
-          -DEXECUTORCH_BUILD_SDK=ON \
-          -DEXECUTORCH_ENABLE_EVENT_TRACER=ON \
-          -DPYTHON_EXECUTABLE="$PYTHON_EXECUTABLE" \
-          -Bcmake-out .
-  cmake --build cmake-out -j9 --target install --config Release
-}
-
-test_cmake_sdk_example_runner() {
-  echo "Exporting MobilenetV2"
-  ${PYTHON_EXECUTABLE} -m examples.sdk.scripts.export_bundled_program --model_name="mv2"
-  local example_dir=examples/sdk
-  local build_dir=cmake-out/${example_dir}
-  CMAKE_PREFIX_PATH="${PWD}/cmake-out/lib/cmake/ExecuTorch;${PWD}/cmake-out/third-party/gflags"
-  rm -rf ${build_dir}
-  retry cmake \
-        -DCMAKE_PREFIX_PATH="$CMAKE_PREFIX_PATH" \
-        -DCMAKE_BUILD_TYPE=Release \
-        -DPYTHON_EXECUTABLE="$PYTHON_EXECUTABLE" \
-        -B${build_dir} \
-        ${example_dir}
-
-  echo "Building ${example_dir}"
-  cmake --build ${build_dir} -j9 --config Release
-
-  echo 'Running sdk_example_runner'
-  ${build_dir}/sdk_example_runner --bundled_program_path="./mv2_bundled.bpte"
-}
-
-if [[ -z $PYTHON_EXECUTABLE ]];
-then
-  PYTHON_EXECUTABLE=python3
-fi
-
-if [[ -z $BUCK ]];
-then
-  BUCK=buck2
-fi
-
-cmake_install_executorch_sdk_lib
-test_cmake_sdk_example_runner
diff --git a/examples/selective_build/test_selective_build.sh b/examples/selective_build/test_selective_build.sh
index 72333ac23c..fd2ae421e2 100644
--- a/examples/selective_build/test_selective_build.sh
+++ b/examples/selective_build/test_selective_build.sh
@@ -48,9 +48,9 @@ test_buck2_select_ops_in_list() {
     ${PYTHON_EXECUTABLE} -m examples.portable.scripts.export --model_name="add_mul"
 
     echo "Running selective build test"
-    # set max_kernel_num=20: 18 primops, add, mul
+    # set max_kernel_num=21: 19 primops, add, mul
     $BUCK run //examples/selective_build:selective_build_test \
-        --config=executorch.max_kernel_num=20 \
+        --config=executorch.max_kernel_num=21 \
         --config=executorch.select_ops=list \
         -- --model_path=./add_mul.pte
 
@@ -117,11 +117,11 @@ test_cmake_select_ops_in_list() {
 
     local example_dir=examples/selective_build
     local build_dir=cmake-out/${example_dir}
-    # set MAX_KERNEL_NUM=20: 18 primops, add, mul
+    # set MAX_KERNEL_NUM=21: 19 primops, add, mul
     rm -rf ${build_dir}
     retry cmake -DBUCK2="$BUCK" \
             -DCMAKE_BUILD_TYPE=Release \
-            -DMAX_KERNEL_NUM=20 \
+            -DMAX_KERNEL_NUM=21 \
             -DEXECUTORCH_SELECT_OPS_LIST="aten::convolution.out,\
 aten::_native_batch_norm_legit_no_training.out,aten::hardtanh.out,aten::add.out,\
 aten::mean.out,aten::view_copy.out,aten::permute_copy.out,aten::addmm.out,\
diff --git a/examples/third-party/LLaVA b/examples/third-party/LLaVA
deleted file mode 160000
index 7440ec9ee3..0000000000
--- a/examples/third-party/LLaVA
+++ /dev/null
@@ -1 +0,0 @@
-Subproject commit 7440ec9ee37b0374c6b5548818e89878e38f3353
diff --git a/examples/xnnpack/README.md b/examples/xnnpack/README.md
index 61c14b5c7e..dcd5b9c5d7 100644
--- a/examples/xnnpack/README.md
+++ b/examples/xnnpack/README.md
@@ -38,9 +38,10 @@ mkdir cmake-out
 cmake \
     -DCMAKE_INSTALL_PREFIX=cmake-out \
     -DCMAKE_BUILD_TYPE=Release \
+    -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
     -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
     -DEXECUTORCH_BUILD_XNNPACK=ON \
-    -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
     -DEXECUTORCH_ENABLE_LOGGING=ON \
     -DPYTHON_EXECUTABLE=python \
     -Bcmake-out .
@@ -92,9 +93,10 @@ mkdir cmake-out
 cmake \
     -DCMAKE_INSTALL_PREFIX=cmake-out \
     -DCMAKE_BUILD_TYPE=Release \
+    -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
     -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
     -DEXECUTORCH_BUILD_XNNPACK=ON \
-    -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
     -DEXECUTORCH_ENABLE_LOGGING=ON \
     -DPYTHON_EXECUTABLE=python \
     -Bcmake-out .
diff --git a/examples/xnnpack/__init__.py b/examples/xnnpack/__init__.py
index 49ef93b673..81404dcf6b 100644
--- a/examples/xnnpack/__init__.py
+++ b/examples/xnnpack/__init__.py
@@ -24,11 +24,14 @@ class XNNPACKOptions(object):
     "mv3": XNNPACKOptions(True, True),
     "resnet18": XNNPACKOptions(True, True),
     "resnet50": XNNPACKOptions(True, True),
-    "vit": XNNPACKOptions(False, True),
-    "w2l": XNNPACKOptions(False, True),
+    "vit": XNNPACKOptions(False, True),  # T161242362
+    "w2l": XNNPACKOptions(True, True),
     "edsr": XNNPACKOptions(True, True),
-    "mobilebert": XNNPACKOptions(False, True),  # T170286473
+    "mobilebert": XNNPACKOptions(False, True),  # T197452682
     "llama2": XNNPACKOptions(False, True),
+    "emformer_join": XNNPACKOptions(True, True),
+    "emformer_predict": XNNPACKOptions(False, True),  # T197457838
+    "emformer_transcribe": XNNPACKOptions(False, True),  # T197449765
 }
 
 
diff --git a/examples/xnnpack/aot_compiler.py b/examples/xnnpack/aot_compiler.py
index a816c4f0e7..520aa82d7c 100644
--- a/examples/xnnpack/aot_compiler.py
+++ b/examples/xnnpack/aot_compiler.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 # Example script for exporting simple models to flatbuffer
 
 import argparse
@@ -12,9 +14,9 @@
 
 import torch
 from executorch.backends.xnnpack.partition.xnnpack_partitioner import XnnpackPartitioner
+from executorch.devtools import generate_etrecord
 from executorch.exir import EdgeCompileConfig, ExecutorchBackendConfig
 from executorch.extension.export_util.utils import export_to_edge, save_pte_program
-from executorch.sdk import generate_etrecord
 
 from ..models import MODEL_NAME_TO_MODEL
 from ..models.model_factory import EagerModelFactory
@@ -79,7 +81,7 @@
 
     model = model.eval()
     # pre-autograd export. eventually this will become torch.export
-    model = torch._export.capture_pre_autograd_graph(model, example_inputs)
+    model = torch.export.export_for_training(model, example_inputs).module()
 
     if args.quantize:
         logging.info("Quantizing Model...")
@@ -103,9 +105,7 @@
     logging.info(f"Lowered graph:\n{edge.exported_program().graph}")
 
     exec_prog = edge.to_executorch(
-        config=ExecutorchBackendConfig(
-            extract_delegate_segments=False, extract_constant_segment=False
-        )
+        config=ExecutorchBackendConfig(extract_delegate_segments=False)
     )
 
     if args.etrecord is not None:
diff --git a/examples/xnnpack/quantization/example.py b/examples/xnnpack/quantization/example.py
index e64c171f6d..e545384228 100644
--- a/examples/xnnpack/quantization/example.py
+++ b/examples/xnnpack/quantization/example.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import argparse
 import copy
 import logging
@@ -58,7 +60,7 @@ def verify_xnnpack_quantizer_matching_fx_quant_model(model_name, model, example_
     m = model
 
     # 1. pytorch 2.0 export quantization flow (recommended/default flow)
-    m = torch._export.capture_pre_autograd_graph(m, copy.deepcopy(example_inputs))
+    m = torch.export.export_for_training(m, copy.deepcopy(example_inputs)).module()
     quantizer = XNNPACKQuantizer()
     quantization_config = get_symmetric_quantization_config(is_per_channel=True)
     quantizer.set_global(quantization_config)
@@ -175,7 +177,7 @@ def main() -> None:
 
     model = model.eval()
     # pre-autograd export. eventually this will become torch.export
-    model = torch._export.capture_pre_autograd_graph(model, example_inputs)
+    model = torch.export.export_for_training(model, example_inputs).module()
     start = time.perf_counter()
     quantized_model = quantize(model, example_inputs)
     end = time.perf_counter()
@@ -191,9 +193,7 @@ def main() -> None:
 
     start = time.perf_counter()
     prog = edge_m.to_executorch(
-        config=ExecutorchBackendConfig(
-            extract_delegate_segments=False, extract_constant_segment=False
-        )
+        config=ExecutorchBackendConfig(extract_delegate_segments=False)
     )
     save_pte_program(prog, f"{args.model_name}_quantized")
     end = time.perf_counter()
diff --git a/examples/xnnpack/targets.bzl b/examples/xnnpack/targets.bzl
index 30cafa56fa..35df8999b4 100644
--- a/examples/xnnpack/targets.bzl
+++ b/examples/xnnpack/targets.bzl
@@ -32,7 +32,7 @@ def define_common_targets():
             "//executorch/examples/xnnpack/quantization:quant_utils",
             "//executorch/exir:lib",
             "//executorch/exir/backend:backend_api",
-            "//executorch/sdk:lib",
+            "//executorch/devtools:lib",
         ],
     )
 
diff --git a/exir/TARGETS b/exir/TARGETS
index 170a22f132..8539311e27 100644
--- a/exir/TARGETS
+++ b/exir/TARGETS
@@ -108,6 +108,7 @@ python_library(
     name = "delegate",
     srcs = [
         "delegate.py",
+        "delegate.pyi",
     ],
     deps = [
         "//caffe2:torch",
@@ -267,3 +268,11 @@ python_library(
         "//caffe2:torch",
     ],
 )
+
+python_library(
+    name = "_warnings",
+    srcs = ["_warnings.py"],
+    deps = [
+        "fbsource//third-party/pypi/typing-extensions:typing-extensions",
+    ],
+)
diff --git a/exir/__init__.py b/exir/__init__.py
index c6a1939d35..4b6d68488e 100644
--- a/exir/__init__.py
+++ b/exir/__init__.py
@@ -23,6 +23,7 @@
     ExecutorchProgramManager,
     ExirExportedProgram,
     to_edge,
+    to_edge_transform_and_lower,
 )
 from executorch.exir.serde.serialize import load, save
 from executorch.exir.tracer import ExirDynamoConfig
@@ -42,6 +43,7 @@
     "ExportGraphSignature",
     "_to_edge",
     "to_edge",
+    "to_edge_transform_and_lower",
     "EdgeProgramManager",
     "ExecutorchProgramManager",
     "edge_to_executorch_passes",
diff --git a/exir/_serialize/TARGETS b/exir/_serialize/TARGETS
index 8ddf830039..49419a4159 100644
--- a/exir/_serialize/TARGETS
+++ b/exir/_serialize/TARGETS
@@ -14,8 +14,8 @@ cpp_python_extension(
         "//executorch/backends/fb/qnnpack/...",
         "//executorch/backends/vulkan/...",
         "//executorch/backends/xnnpack/...",
-        "//executorch/sdk/bundled_program/...",
-        "//executorch/sdk/etdump/...",
+        "//executorch/devtools/bundled_program/...",
+        "//executorch/devtools/etdump/...",
     ],
     deps = [
         "fbsource//third-party/flatbuffers:flatc_library",
@@ -45,6 +45,10 @@ runtime.python_library(
     visibility = [
         "//executorch/backends/...",
         "//executorch/codegen/...",
+        "//executorch/devtools:lib",
+        "//executorch/devtools/bundled_program/serialize:lib",
+        "//executorch/devtools/bundled_program/tests/...",
+        "//executorch/devtools/experimental/...",
         "//executorch/examples/async_exec:emit_program_lib",
         "//executorch/exir/...",
         "//executorch/exir/tests/...",
@@ -52,10 +56,6 @@ runtime.python_library(
         "//executorch/extension/pybindings/test:test",
         "//executorch/extension/pybindings/test:test-library",
         "//executorch/profiler/...",
-        "//executorch/sdk:lib",
-        "//executorch/sdk/bundled_program/serialize:lib",
-        "//executorch/sdk/bundled_program/tests/...",
-        "//executorch/sdk/experimental/...",
         "//executorch/test/...",
         "@EXECUTORCH_CLIENTS",
     ],
diff --git a/exir/_serialize/_dataclass.py b/exir/_serialize/_dataclass.py
index 8f6ef1c172..013d733bcd 100644
--- a/exir/_serialize/_dataclass.py
+++ b/exir/_serialize/_dataclass.py
@@ -129,6 +129,13 @@ class Example
             data[key] = [_json_to_dataclass(e, T) for e in value]
             continue
 
+        # If T is a Union, then check which type in the Union it is and initialize.
+        # eg. Double type in schema.py
+        if get_origin(T) is Union:
+            res = [x for x in get_args(get_type_hints(cls)[key]) if x == type(value)]
+            data[key] = res[0](value)
+            continue
+
         # If T is an enum then lookup the value in the enum otherwise try to
         # cast value to whatever type is required
         if isinstance(T, enum.EnumMeta):
diff --git a/exir/_serialize/_flatbuffer.py b/exir/_serialize/_flatbuffer.py
index 93006612c7..4599249f00 100644
--- a/exir/_serialize/_flatbuffer.py
+++ b/exir/_serialize/_flatbuffer.py
@@ -29,14 +29,6 @@ def _is_valid_alignment(alignment: int) -> bool:
     return alignment > 0 and (alignment & (alignment - 1)) == 0
 
 
-# TODO(T182299196): Replace this hack with a proper flatc binary.
-def _replace_infinity_in_json_file(content: str) -> str:
-    content = re.sub(
-        r'"double_val"\s*:\s*(-)?Infinity', r'"double_val": "\g<1>inf"', content
-    )
-    return content
-
-
 def _patch_schema_alignment(
     schema: bytes,
     constant_tensor_alignment: Optional[int],
@@ -291,11 +283,8 @@ def _program_json_to_flatbuffer(
         json_path = os.path.join(temp_dir, file_stem + ".json")
         output_path = os.path.join(temp_dir, file_stem + ".pte")
 
-        # TODO(T182299196): Replace this hack with a proper flatc binary.
-        replaced_program_json = _replace_infinity_in_json_file(program_json)
-
         with open(json_path, "wb") as json_file:
-            json_file.write(replaced_program_json.encode("ascii"))
+            json_file.write(program_json.encode("ascii"))
 
         try:
             _flatc_compile(temp_dir, schema_info.root_path, json_path)
@@ -330,6 +319,19 @@ def _program_json_to_flatbuffer(
             )
 
 
+def _replace_infinity_in_json_file(content: bytes) -> bytes:
+    """Replace -inf and inf with "inf" and "-inf" in the JSON file. program.fbs
+    is used to convert from flatbuffer to JSON. +-inf float values are not
+    supported by JSON, so we replace them with the string equivalent. When
+    converting from JSON to python dataclasses, the string is read as a Union
+    of float and string (see schema.py).
+    """
+    content = re.sub(
+        rb'"double_val"\s*:\s*(-)?inf', rb'"double_val": "\g<1>inf"', content
+    )
+    return content
+
+
 def _program_flatbuffer_to_json(program_flatbuffer: bytes) -> bytes:
     """Converts binary flatbuffer data into Program-compatible JSON.
 
@@ -348,4 +350,5 @@ def _program_flatbuffer_to_json(program_flatbuffer: bytes) -> bytes:
 
         _flatc_decompile(temp_dir, schema_info.root_path, bin_path)
         with open(json_path, "rb") as output_file:
-            return output_file.read()
+            json_data = output_file.read()
+            return _replace_infinity_in_json_file(json_data)
diff --git a/exir/_serialize/_program.py b/exir/_serialize/_program.py
index bb5bdc9aa7..00a3d4700f 100644
--- a/exir/_serialize/_program.py
+++ b/exir/_serialize/_program.py
@@ -309,7 +309,7 @@ def _extract_delegate_segments(
 
 def _extract_constant_segment(
     constant_buffer: List[Buffer],
-    tensor_alignment: int,
+    tensor_alignment: Optional[int] = None,
 ) -> Tuple[Cord, List[int]]:
     """Copies the tensors from the provided list into a Cord and tracks the offsets
         of each tensor.
@@ -329,7 +329,11 @@ def _extract_constant_segment(
         buffer = constant_buffer[i]
         constant_segment_data.append(buffer.storage)
         buffer_length = len(buffer.storage)
-        pad_length = _padding_required(buffer_length, tensor_alignment)
+        pad_length = (
+            _padding_required(buffer_length, tensor_alignment)
+            if tensor_alignment is not None
+            else 0
+        )
         if i < len(constant_buffer) - 1:
             constant_segment_data.append(b"\x00" * pad_length)
         constant_segment_offsets.append(current_offset)
@@ -341,9 +345,9 @@ def _extract_constant_segment(
 def serialize_pte_binary(
     program: Program,
     *,
+    mutable_data: Optional[List[Buffer]] = None,
     extract_delegate_segments: bool = False,
-    extract_constant_segment: bool = False,
-    segment_alignment: int = 4096,
+    segment_alignment: int = 128,
     constant_tensor_alignment: Optional[int] = None,
     delegate_alignment: Optional[int] = None,
 ) -> Cord:
@@ -358,8 +362,6 @@ def serialize_pte_binary(
               and the starting segment offset.
             - Update the Program.segments field with the offsets and lengths
               of each segment.
-        extract_constant_segment: Whether to move the constant data from the Program
-            into a separate segment.
         segment_alignment: Alignment in bytes. The starting offset of each
             segment will be aligned to this value in the output data.
         constant_tensor_alignment: The minimum alignment of tensor
@@ -382,19 +384,38 @@ def serialize_pte_binary(
     # Store extracted segment data; this may be constant data or delegate data.
     segments: List[Cord] = []
 
-    if extract_constant_segment:
-        constant_segment_data, constant_segment_offsets = _extract_constant_segment(
-            program.constant_buffer, tensor_alignment=constant_tensor_alignment
+    constant_segment_data, constant_segment_offsets = _extract_constant_segment(
+        program.constant_buffer, tensor_alignment=constant_tensor_alignment
+    )
+
+    # If there are no constants, len(constant_segment_data) = 0. However, there may
+    # be non-constants, in which case len(constant_segment_offsets) = 1, containing
+    # the placeholder value 0. Ensure the placeholder value is put into
+    # program.constant_segment.offsets.
+    if len(constant_segment_offsets) > 0:
+        # Update program.constant_segment with constant subsegment offset information.
+        program.constant_segment = SubsegmentOffsets(
+            segment_index=len(segments), offsets=constant_segment_offsets
         )
-        if len(constant_segment_data) > 0:
-            # Update program.constant_segment with constant subsegment offset information.
-            program.constant_segment = SubsegmentOffsets(
-                segment_index=len(segments), offsets=constant_segment_offsets
-            )
-            # Clear the constant buffer, as constant data will be stored in segments.
-            program.constant_buffer = []
+        # Clear the constant buffer, as constant data will be stored in segments.
+        program.constant_buffer = []
+        # Add to the aggregate segments cord.
+        segments.append(constant_segment_data)
+
+    if mutable_data is not None:
+        mutable_segment_data, mutable_segment_offsets = _extract_constant_segment(
+            mutable_data,
+            tensor_alignment=None,  # data is copied at Method load so no need to align.
+        )
+        if len(mutable_segment_data) > 0:
+            # Update program.mutable_segment_data with constant subsegment offset information.
+            program.mutable_data_segments = [
+                SubsegmentOffsets(
+                    segment_index=len(segments), offsets=mutable_segment_offsets
+                ),
+            ]
             # Add to the aggregate segments cord.
-            segments.append(constant_segment_data)
+            segments.append(mutable_segment_data)
 
     if extract_delegate_segments:
         _extract_delegate_segments(program, segments)
@@ -532,6 +553,24 @@ def _restore_segments(program: Program, segment_data: bytes) -> Program:
                 location=DataLocation.INLINE, index=data_index
             )
 
+    # Replace constants from constant_segment into constant_buffer.
+    if program.constant_segment and len(program.constant_segment.offsets) > 0:
+        buffers: List[Buffer] = []
+        constant_segment = segments[program.constant_segment.segment_index]
+        for i in range(len(program.constant_segment.offsets)):
+            start_offset = program.constant_segment.offsets[i]
+            # Note: this is the original end offset plus any padding between
+            # it and the next start offset.
+            end_offset = (
+                program.constant_segment.offsets[i + 1]
+                if i < len(program.constant_segment.offsets) - 1
+                else len(constant_segment)
+            )
+            buffers.append(Buffer(storage=constant_segment[start_offset:end_offset]))
+        program.constant_buffer = buffers
+        program.constant_segment.segment_index = 0
+        program.constant_segment.offsets = []
+
     # Clear out the segments list since the original Program didn't have one.
     program.segments = []
     return program
diff --git a/exir/_serialize/test/test_program.py b/exir/_serialize/test/test_program.py
index 54f8c7b622..f20c0b3979 100644
--- a/exir/_serialize/test/test_program.py
+++ b/exir/_serialize/test/test_program.py
@@ -5,6 +5,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import copy
 import difflib
 import json
@@ -36,7 +38,7 @@
 )
 from executorch.exir.tests.common import get_test_program
 
-SEGMENT_ALIGNMENT: int = 4096
+SEGMENT_ALIGNMENT: int = 128
 
 CONSTANT_TENSOR_ALIGNMENT: int = 16
 
@@ -167,7 +169,6 @@ def constant_segment_with_tensor_alignment(
         pte_data = bytes(
             serialize_pte_binary(
                 program,
-                extract_constant_segment=True,
                 segment_alignment=SEGMENT_ALIGNMENT,
                 constant_tensor_alignment=constant_tensor_alignment,
             )
@@ -271,6 +272,15 @@ def constant_segment_with_tensor_alignment(
             f"{segment_table}",
         )
 
+        # Convert back.
+        program2 = deserialize_pte_binary(pte_data)
+        # Programs are the same besides constant_buffer, as deserialization
+        # does not preserve constant segment; padding may be added
+        # during serialization.
+        self.assertEqual(program2.execution_plan, program.execution_plan)
+        # Number of constant tensors should be the same.
+        self.assertEqual(len(program2.constant_buffer), len(program.constant_buffer))
+
     def test_canonicalize_delegate_indices(self) -> None:
         def make_execution_plan(
             name: str, delegates: List[BackendDelegate]
@@ -425,16 +435,12 @@ def test_round_trip_large_buffer_sizes(self) -> None:
 
     def test_round_trip_no_segments_and_no_header(self) -> None:
         """Tests that a Program serialized with extract_delegate_segments=True
-        or extract_constant_segment=True, when there are no segments, does not
-        contain an extended header, constant segment, or delegate segments. Confirm
-        that a Program remains the same after serializing and deserializing.
+        when there are no segments does not contain an extended header,
+        constant segment, or delegate segments. Confirm that a Program remains
+        the same after serializing and deserializing.
         """
         program = get_test_program()
-        pte_data = bytes(
-            serialize_pte_binary(
-                program, extract_delegate_segments=True, extract_constant_segment=True
-            )
-        )
+        pte_data = bytes(serialize_pte_binary(program, extract_delegate_segments=True))
         self.assertGreater(len(pte_data), 16)
 
         # File magic should be present at the expected offset.
@@ -465,7 +471,6 @@ def gen_blob_data(size: int, pattern: bytes) -> bytes:
         assert len(ret) == size
         return ret
 
-    @unittest.skip("TODO(T181362263): Update restore segments to restore cords")
     def test_round_trip_with_segments(self) -> None:
         # Create a program with some delegate data blobs.
         program = get_test_program()
@@ -586,6 +591,33 @@ def test_round_trip_with_segments(self) -> None:
         program2 = deserialize_pte_binary(pte_data)
         self.assert_programs_equal(program, program2)
 
+    def test_no_constants(self) -> None:
+        program = get_test_program()
+        # Insert placeholder for non-const tensors.
+        add_constant_data(program, [b""])
+
+        pte_data = bytes(
+            serialize_pte_binary(
+                program,
+                extract_delegate_segments=True,
+                segment_alignment=SEGMENT_ALIGNMENT,
+                constant_tensor_alignment=CONSTANT_TENSOR_ALIGNMENT,
+            )
+        )
+        # The input Program should not be modified.
+        self.assertEqual(program.segments, [])
+
+        # Peek inside the actual flatbuffer data to see the segments.
+        flatbuffer_program = _json_to_program(_program_flatbuffer_to_json(pte_data))
+
+        # Constant buffer should be empty.
+        self.assertEqual(len(flatbuffer_program.constant_buffer), 0)
+
+        # Constant segment should contain the placeholder.
+        self.assertEqual(flatbuffer_program.constant_segment.segment_index, 0)
+        self.assertEqual(len(flatbuffer_program.constant_segment.offsets), 1)
+        self.assertEqual(flatbuffer_program.constant_segment.offsets[0], 0)
+
     def test_unused_inline_delegate_blobs_with_segments(self) -> None:
         # Create a program with some delegate data blobs.
         program = get_test_program()
@@ -635,7 +667,6 @@ def test_constant_segment_tensor_alignment_non_power_of_2_fails(self) -> None:
         with self.assertRaises(ValueError):
             serialize_pte_binary(
                 program,
-                extract_constant_segment=True,
                 segment_alignment=SEGMENT_ALIGNMENT,
                 constant_tensor_alignment=constant_tensor_alignment,
             )
@@ -660,7 +691,6 @@ def test_constant_segment_and_delegate_segment(self) -> None:
             serialize_pte_binary(
                 program,
                 extract_delegate_segments=True,
-                extract_constant_segment=True,
                 segment_alignment=SEGMENT_ALIGNMENT,
                 constant_tensor_alignment=CONSTANT_TENSOR_ALIGNMENT,
             )
@@ -781,6 +811,15 @@ def test_constant_segment_and_delegate_segment(self) -> None:
             + b"\x40\x44\x44",
         )
 
+        # Convert back.
+        program2 = deserialize_pte_binary(pte_data)
+        # Programs are the same besides constant_buffer, as deserialization
+        # does not preserve constant segment; padding may be added
+        # during serialization.
+        self.assertEqual(program2.execution_plan, program.execution_plan)
+        # Number of constant tensors should be the same.
+        self.assertEqual(len(program2.constant_buffer), len(program.constant_buffer))
+
 
 # Common data for extended header tests. The two example values should produce
 # the example data.
diff --git a/exir/_warnings.py b/exir/_warnings.py
new file mode 100644
index 0000000000..a4b91b2b4b
--- /dev/null
+++ b/exir/_warnings.py
@@ -0,0 +1,44 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+"""Decorators used to warn about non-stable APIs."""
+
+# pyre-strict
+
+from typing import Any, Dict, Optional, Sequence, Type
+
+from typing_extensions import deprecated
+
+__all__ = ["deprecated", "experimental"]
+
+
+class ExperimentalWarning(DeprecationWarning):
+    """Emitted when calling an experimental API.
+
+    Derives from DeprecationWarning so that it is similarly filtered out by
+    default.
+    """
+
+    def __init__(self, /, *args: Sequence[Any], **kwargs: Dict[str, Any]) -> None:
+        super().__init__(*args, **kwargs)
+
+
+class experimental(deprecated):
+    """Indicates that a class, function or overload is experimental.
+
+    When this decorator is applied to an object, the type checker
+    will generate a diagnostic on usage of the experimental object.
+    """
+
+    def __init__(
+        self,
+        message: str,
+        /,
+        *,
+        category: Optional[Type[Warning]] = ExperimentalWarning,
+        stacklevel: int = 1,
+    ) -> None:
+        super().__init__(message, category=category, stacklevel=stacklevel)
diff --git a/exir/backend/backend_api.py b/exir/backend/backend_api.py
index 2e7f1b3cdf..d114d8b470 100644
--- a/exir/backend/backend_api.py
+++ b/exir/backend/backend_api.py
@@ -6,7 +6,7 @@
 
 import copy
 import logging
-from contextlib import contextmanager
+from contextlib import contextmanager, nullcontext
 from functools import singledispatch
 from typing import Generator, List
 
@@ -25,12 +25,11 @@
 
 from executorch.exir.graph_module import get_control_flow_submodules
 from executorch.exir.lowered_backend_module import (
-    _get_new_signature,
+    _unsafe_adjust_original_program,
     create_exported_program_from_submodule,
     create_submodule_from_nodes,
     LoweredBackendModule,
 )
-from executorch.exir.pass_base import ExportPass
 from executorch.exir.program._fake_program import (
     get_fake_program,
     update_to_real_program,
@@ -193,6 +192,7 @@ def _partition_and_lower_one_graph_module(
     tagged_graph_module: torch.fx.GraphModule,
     partition_result: PartitionResult,
     owning_program: ExportedProgram,
+    is_submodule: bool,
 ) -> torch.fx.GraphModule:
     """
     Partitioned and lowered the graph module based on the partition tag, this is to handle one graph module.
@@ -210,21 +210,40 @@ def _partition_and_lower_one_graph_module(
 
         logging.debug(f"For tag {tag}, found nodes {node_list}")
         # Tag the nodes that are params as buffers, so we can order the submodule as (Parms + Buffers) (User Inputs)
-        submodule, call_module_node = create_submodule_from_nodes(
-            tagged_graph_module, node_list, tag
+
+        replace_ctx = (
+            tagged_graph_module._set_replace_hook(
+                owning_program.graph_signature.get_replace_hook()
+            )
+            if not is_submodule
+            else nullcontext()
         )
+        with replace_ctx:
+            submodule, call_module_node = create_submodule_from_nodes(
+                tagged_graph_module, node_list, tag
+            )
+
         tagged_graph_module_output_node = [
             node for node in tagged_graph_module.graph.nodes if node.op == "output"
-        ]
+        ][0]
         submodule_output_node = [
             node for node in submodule.graph.nodes if node.op == "output"
-        ]
-        # Copy the output node meta from the original output node, because create_submodule_from_nodes doesn't cover the meta field
-        submodule_output_node[0].meta = tagged_graph_module_output_node[0].meta
+        ][0]
+        # Copy the output node meta from the original output node, because
+        # create_submodule_from_nodes doesn't cover the meta field
+        submodule_output_node.meta = tagged_graph_module_output_node.meta
         logging.debug(f"Partitioned graph module: {tagged_graph_module}")
 
-        submodule_program = create_exported_program_from_submodule(
-            submodule, owning_program, tag
+        (
+            submodule_program,
+            toplevel_input_specs_to_delete,
+            toplevel_output_specs_to_delete,
+        ) = create_exported_program_from_submodule(
+            submodule,
+            owning_program,
+            tag,
+            call_module_node,
+            is_submodule,
         )
 
         lowered_submodule = to_backend(
@@ -257,33 +276,24 @@ def _partition_and_lower_one_graph_module(
             call_delegate_node.meta["debug_handle"] = len(
                 tagged_graph_module.graph.nodes
             )
+            call_delegate_node.meta["val"] = submodule_output_node.meta["val"]
             call_module_node.replace_all_uses_with(call_delegate_node)
             tagged_graph_module.graph.erase_node(call_module_node)
 
-        # Delete all parameters/buffers consumed by the created exported program
-        toplevel_signature = owning_program.graph_signature
-        for node in tagged_graph_module.graph.nodes:
-            # Find placeholders consumed by the delegate
-            if node.op != "placeholder" or len(node.users) != 0:
-                continue
-
-            if node.name in toplevel_signature.inputs_to_buffers:
-                # Delete the consumed buffers
-                buffer_name = toplevel_signature.inputs_to_buffers.pop(node.name)
-                toplevel_signature.buffers.remove(buffer_name)
-                if buffer_name in owning_program.state_dict:
-                    owning_program.state_dict.pop(buffer_name)
-                else:
-                    owning_program.constants.pop(buffer_name)
-                tagged_graph_module.graph.erase_node(node)
-            elif node.name in toplevel_signature.inputs_to_parameters:
-                # Delete the consumed parameters
-                param_name = toplevel_signature.inputs_to_parameters.pop(node.name)
-                toplevel_signature.parameters.remove(param_name)
-                owning_program.state_dict.pop(param_name)
-                tagged_graph_module.graph.erase_node(node)
-
-        tagged_graph_module.recompile()
+        if is_submodule:
+            assert len(toplevel_input_specs_to_delete) == 0
+            assert len(toplevel_output_specs_to_delete) == 0
+        elif (
+            len(toplevel_input_specs_to_delete) > 0
+            or len(toplevel_output_specs_to_delete) > 0
+        ):
+            _unsafe_adjust_original_program(
+                owning_program,
+                call_delegate_node,
+                toplevel_input_specs_to_delete,
+                toplevel_output_specs_to_delete,
+            )
+
     return tagged_graph_module
 
 
@@ -291,32 +301,23 @@ def _partition_and_lower(
     tagged_graph_module: torch.fx.GraphModule,
     partition_result: PartitionResult,
     owning_program: ExportedProgram,
+    is_submodule: bool = False,
 ) -> torch.fx.GraphModule:
     """
     Partitions the graph module into submodules based on tags, and then lowered the nodes with the same tag as one lowered module, including the submodule from control flow
     """
 
     partitioned_module = _partition_and_lower_one_graph_module(
-        tagged_graph_module, partition_result, owning_program
+        tagged_graph_module, partition_result, owning_program, is_submodule
     )
 
     # Recursively partition and lower for submodules
     for name, submod, _node in get_control_flow_submodules(partitioned_module):
         partitioned_submodule = _partition_and_lower(
-            submod, partition_result, owning_program
+            submod, partition_result, owning_program, is_submodule=True
         )
         tagged_graph_module.add_module(name, partitioned_submodule)
 
-    # Run the export pass over the graph module so that the call delegate
-    # nodes will match Edge dialect
-    # TODO(angelayi): ExportPass will rerun the graph, however all we need
-    # here is to add metadata to the call delegate nodes to preserve Edge
-    # dialect.  There's work going on to generate a random tensor from a
-    # fake tensor and possibly it can help to address the issue.
-    res = ExportPass()(tagged_graph_module)
-    assert res is not None
-    tagged_graph_module = res.graph_module
-
     return tagged_graph_module
 
 
@@ -351,6 +352,8 @@ def to_backend(
     Returns:
         ExportedProgram: The input program, with some portions targeted for delegation.
     """
+    edge_program._validate()
+
     # Use fake program, with FakeTensors in the state dict, to avoid copying large constant values.
     # Fall back to deepcopy if no fake mode is found. TODO(T182910699): Remove this fallback.
     try:
@@ -379,26 +382,22 @@ def to_backend(
     update_to_real_program(tagged_exported_program, edge_program)
 
     for tag, _ in partitioner_result.partition_tags.items():
-        _maybe_duplicate_constant_nodes(tagged_exported_program, tag, edge_program)
+        _maybe_duplicate_constant_nodes(tagged_exported_program, tag)
 
     tagged_graph_module = _partition_and_lower(
-        tagged_exported_program.graph_module, partitioner_result, edge_program
+        tagged_exported_program.graph_module,
+        partitioner_result,
+        tagged_exported_program,
     )
 
-    # TODO(angelayi): Update this signature in a less manual way (maybe through
-    # retracing)
-    new_signature, new_state_dict, new_constants = _get_new_signature(
-        edge_program,
-        tagged_graph_module,
-    )
     return ExportedProgram(
         root=tagged_graph_module,
         graph=tagged_graph_module.graph,
-        graph_signature=new_signature,
-        state_dict=new_state_dict,
-        range_constraints=copy.deepcopy(edge_program.range_constraints),
-        module_call_graph=copy.deepcopy(edge_program.module_call_graph),
+        graph_signature=tagged_exported_program.graph_signature,
+        state_dict=tagged_exported_program.state_dict,
+        range_constraints=copy.deepcopy(tagged_exported_program.range_constraints),
+        module_call_graph=copy.deepcopy(tagged_exported_program.module_call_graph),
         example_inputs=None,
-        constants=new_constants,
-        verifiers=[edge_program.verifier],
+        constants=tagged_exported_program.constants,
+        verifiers=[tagged_exported_program.verifier],
     )
diff --git a/exir/backend/canonical_partitioners/TARGETS b/exir/backend/canonical_partitioners/TARGETS
index 06b028e259..22a6e2c51b 100644
--- a/exir/backend/canonical_partitioners/TARGETS
+++ b/exir/backend/canonical_partitioners/TARGETS
@@ -36,3 +36,20 @@ runtime.python_library(
         "//executorch/exir/backend:partitioner",
     ],
 )
+
+runtime.python_library(
+    name = "config_partitioner_lib",
+    srcs = [
+        "config_partitioner.py",
+    ],
+    visibility = [
+        "//executorch/...",
+        "//executorch/exir/backend/...",
+        "//executorch/test/...",
+        "@EXECUTORCH_CLIENTS",
+    ],
+    deps = [
+        "//caffe2:torch",
+        "//executorch/exir/backend:partitioner",
+    ],
+)
diff --git a/exir/backend/canonical_partitioners/config_partitioner.py b/exir/backend/canonical_partitioners/config_partitioner.py
new file mode 100644
index 0000000000..1a9bcc33e8
--- /dev/null
+++ b/exir/backend/canonical_partitioners/config_partitioner.py
@@ -0,0 +1,204 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+from abc import ABC, abstractmethod
+from typing import Callable, Dict, Iterable, List, Optional, Tuple
+
+import torch
+from executorch.exir.backend.backend_details import ExportedProgram
+from executorch.exir.backend.canonical_partitioners.pattern_op_partitioner import (
+    generate_partitions_from_list_of_nodes,
+)
+from executorch.exir.backend.partitioner import (
+    DelegationSpec,
+    Partitioner,
+    PartitionResult,
+)
+from torch.fx.passes.infra.partitioner import Partition
+
+
+def format_target_name(target_name: str) -> str:
+    """
+    We remove the dialect name space from the target name. We generally
+    do not care for the op dialect specific name space ("aten.", "quantized_decomposed.")
+    but rather the op itself. Se remove the dialect-specific name space from the
+    name and return the op name itself
+    """
+    names = target_name.split(".")
+    if len(names) > 2:
+        names.pop(0)
+
+    return ".".join(names)
+
+
+class PartitionerConfig(ABC):
+    """
+    Class used to represent a PartitionerConfig.
+
+    PartitionerConfig is used by config-based partitioner to partition identify
+    nodes to be delegated. User overrides the methods:
+        - target_name
+        - check_constraints
+        - get_partition
+        - get_original_aten
+
+    The Config-Based Partitioner then uses these overridden methods to find nodes
+    which match target_name, check_constraints, and if true, returns the partition
+    (list of nodes) which represent the node and its dependencies. get_original_aten
+    is used to halt decomposition to edge_dialect if the node can be delegated by
+    the specified backend.
+    """
+
+    @classmethod
+    @property
+    @abstractmethod
+    def target_name(cls) -> str:
+        """
+        Target name for this partitioner config. When the Config-Based Partitioner
+        encounters a node with a matching target name, it uses this config's methods to
+        checks the constraints of this node and get all of its dependencies.
+        the target name is formatted to remove the dialect-specific name space.
+        i.e. linear.default
+        """
+        pass
+
+    @abstractmethod
+    def check_constraints(self, node: torch.fx.Node, ep: ExportedProgram) -> bool:
+        """
+        Takes in a node and returns true if the node is partitionable.
+
+        Args:
+            node: Node to be partitioned
+            ep: Exported program of the graph module
+        Returns:
+            True or False whether this node is partitionable
+        """
+        pass
+
+    @abstractmethod
+    def get_original_aten(self) -> Optional[torch._ops.OpOverload]:
+        """
+        Returns the original aten dialect op, this is for to_edge_transform_and_lower
+        API, so that this config can be used to stop decomposition of this original
+        aten op
+        """
+        pass
+
+    @abstractmethod
+    def get_partition(
+        self, node: torch.fx.Node, ep: ExportedProgram
+    ) -> List[torch.fx.Node]:
+        """
+        Returns the partitioned nodes from get_node_and_deps, but also labels them
+        with the name of the PartitionerConfig class which return this set of nodes.
+
+        Returns an empty list of the node and deps do not satisfy the checked constraints
+        """
+        pass
+
+
+class ConfigerationBasedPartitioner(Partitioner):
+    def __init__(
+        self,
+        delegation_spec: DelegationSpec,
+        partitioner_configs: Iterable[PartitionerConfig],
+    ):
+        """
+        Configeration based partitioner. We supply the partitioner with a set of configerations
+        which describe the node type, constraints, and any dependencies required to be partitioned
+        with the node. We use the configerations to partition the graph module.
+        """
+        super().__init__()
+        # Initialize partitioner configs map {"target_name": PartitionerConfig}
+        self.target_partitioner_configs: Dict[str, PartitionerConfig] = {}
+        for config in partitioner_configs:
+            target_name = config.target_name
+            if target_name in self.target_partitioner_configs:
+                other_config = self.target_partitioner_configs[target_name]
+                raise RuntimeError(
+                    f"PartitionerConfig: {config} and {other_config} have the same target_name: {target_name}"
+                )
+            else:
+                self.target_partitioner_configs[target_name] = config
+
+        self.delegation_spec = delegation_spec
+
+    def ops_to_not_decompose(
+        self,
+        ep: ExportedProgram,
+    ) -> Tuple[List[torch._ops.OpOverload], Optional[Callable[[torch.fx.Node], bool]]]:
+        def filter_fn(node: torch.fx.Node) -> bool:
+            """
+            The partitioner configs we initialize with have check_constraints function,
+            to determine if this op is indeed partitionable. We grab the check_constraint
+            function of this op from the config and use it to filter.
+            """
+            if node.op != "call_function":
+                return False
+            target_name = format_target_name(node.target.__name__)  # pyre-ignore
+
+            if target_name in self.target_partitioner_configs:
+                config = self.target_partitioner_configs[target_name]
+                # only filter_fn if config has original_aten
+                if config.get_original_aten():
+                    return self.target_partitioner_configs[
+                        target_name
+                    ].check_constraints(node, ep)
+
+            return False
+
+        # Get list of original aten targets which we do not want to decomp
+        do_not_decomp = []
+        for node_config in self.target_partitioner_configs.values():
+            original_aten = node_config.get_original_aten()
+            if original_aten is not None:
+                do_not_decomp.append(original_aten)
+
+        return (do_not_decomp, filter_fn)
+
+    def get_matched_nodes_from_configs(
+        self, ep: ExportedProgram
+    ) -> List[List[torch.fx.Node]]:
+        # gather supported nodes
+        matched_nodes = []
+        gm = ep.graph_module
+        for node in gm.graph.nodes:
+            if node.op == "call_function":
+                target = format_target_name(node.target.__name__)
+                if target in self.target_partitioner_configs:
+                    node_config = self.target_partitioner_configs[target]
+                    if node_config.check_constraints(node, ep):
+                        matched_nodes.append(node_config.get_partition(node, ep))
+
+        return matched_nodes
+
+    def generate_partitions(self, ep: ExportedProgram) -> List[Partition]:
+        matched_nodes = self.get_matched_nodes_from_configs(ep)
+        # create partitions
+        partitions = generate_partitions_from_list_of_nodes(
+            ep.graph_module,
+            matched_nodes,
+        )
+        return partitions
+
+    def partition(self, exported_program: ExportedProgram) -> PartitionResult:
+        partitions = self.generate_partitions(exported_program)
+
+        # tag nodes
+        partition_tags: Dict[str, DelegationSpec] = {}
+        for partition in partitions:
+            for node in partition.nodes:
+                delegation_tag = f"tag{partition.id}"
+                if "delegation_tag" in node.meta:
+                    raise RuntimeError(
+                        f"Partitioner Erro found node {node} in partition {node.meta['delegation_tag']} and partition {delegation_tag}"
+                    )
+                node.meta["delegation_tag"] = delegation_tag
+                partition_tags[delegation_tag] = self.delegation_spec
+
+        return PartitionResult(
+            tagged_exported_program=exported_program, partition_tags=partition_tags
+        )
diff --git a/exir/backend/test/TARGETS b/exir/backend/test/TARGETS
index 7a6d68aef1..5c3a5e3eb3 100644
--- a/exir/backend/test/TARGETS
+++ b/exir/backend/test/TARGETS
@@ -82,13 +82,14 @@ python_library(
         "//executorch/test/...",
     ],
     deps = [
-        ":backend_with_compiler_demo",
-        "//caffe2:torch",
-        "//executorch/exir:graph_module",
-        "//executorch/exir/backend:compile_spec_schema",
-        "//executorch/exir/backend:partitioner",
-        "//executorch/exir/backend/canonical_partitioners:canonical_partitioner_lib",
-        "//executorch/exir/dialects:lib",
+        "fbcode//caffe2:torch",
+        "fbcode//executorch/exir:graph_module",
+        "fbcode//executorch/exir/backend:compile_spec_schema",
+        "fbcode//executorch/exir/backend:partitioner",
+        "fbcode//executorch/exir/backend/canonical_partitioners:canonical_partitioner_lib",
+        "fbcode//executorch/exir/backend/test:backend_with_compiler_demo",
+        "fbcode//executorch/exir/backend/test/demos/rpc:executor_backend_preprocess",
+        "fbcode//executorch/exir/dialects:lib",
     ],
 )
 
@@ -269,7 +270,6 @@ python_unittest(
         "test_utils.py",
     ],
     deps = [
-        "fbsource//third-party/pypi/pandas:pandas",
         ":op_partitioner_demo",
         "//caffe2:torch",
         "//executorch/exir:lib",
@@ -291,6 +291,7 @@ python_unittest(
         "//executorch/exir/backend/test/demos/rpc:executor_backend_register",
     ],
     deps = [
+        ":op_partitioner_demo",
         "//caffe2:torch",
         "//executorch/exir:lib",
         "//executorch/exir/backend:backend_details",
diff --git a/exir/backend/test/demos/rpc/CMakeLists.txt b/exir/backend/test/demos/rpc/CMakeLists.txt
index cf39248c38..cd1b6e73ff 100644
--- a/exir/backend/test/demos/rpc/CMakeLists.txt
+++ b/exir/backend/test/demos/rpc/CMakeLists.txt
@@ -26,10 +26,10 @@ include(${EXECUTORCH_ROOT}/build/Utils.cmake)
 set(_common_include_directories ${EXECUTORCH_ROOT}/..)
 set(_common_compile_options -Wno-deprecated-declarations -fPIC)
 
-add_library(executor_backend STATIC ExecutorBackendRegister.cpp ExecutorBackend.cpp)
-target_link_libraries(
-  executor_backend PRIVATE executorch_no_prim_ops
+add_library(
+  executor_backend STATIC ExecutorBackendRegister.cpp ExecutorBackend.cpp
 )
+target_link_libraries(executor_backend PRIVATE executorch_no_prim_ops)
 
 target_include_directories(
   executor_backend PUBLIC ${_common_include_directories}
@@ -38,4 +38,5 @@ install(
   TARGETS executor_backend
   DESTINATION lib
   INCLUDES
-  DESTINATION ${_common_include_directories})
+  DESTINATION ${_common_include_directories}
+)
diff --git a/exir/backend/test/demos/rpc/ExecutorBackend.cpp b/exir/backend/test/demos/rpc/ExecutorBackend.cpp
index f459dec030..aeef621a27 100644
--- a/exir/backend/test/demos/rpc/ExecutorBackend.cpp
+++ b/exir/backend/test/demos/rpc/ExecutorBackend.cpp
@@ -20,7 +20,6 @@
 #include <executorch/runtime/core/exec_aten/util/tensor_util.h>
 #include <executorch/runtime/executor/method.h>
 #include <executorch/runtime/executor/program.h>
-#include <executorch/util/util.h>
 
 namespace torch {
 namespace executor {
@@ -36,7 +35,7 @@ namespace executor {
  * front-end before having the actual backend ready.
  */
 
-class ExecutorBackend final : public PyTorchBackendInterface {
+class ExecutorBackend final : public ::executorch::runtime::BackendInterface {
  public:
   ~ExecutorBackend() = default;
 
@@ -47,7 +46,7 @@ class ExecutorBackend final : public PyTorchBackendInterface {
   Result<DelegateHandle*> init(
       BackendInitContext& context,
       FreeableBuffer* processed,
-      __ET_UNUSED ArrayRef<CompileSpec> compile_specs) const override {
+      ET_UNUSED ArrayRef<CompileSpec> compile_specs) const override {
     // `processed` contains an executorch program. Wrap it in a DataLoader that
     // will return the data directly without copying it.
     MemoryAllocator* runtime_allocator = context.get_runtime_allocator();
@@ -129,7 +128,7 @@ class ExecutorBackend final : public PyTorchBackendInterface {
   }
 
   Error execute(
-      __ET_UNUSED BackendExecutionContext& context,
+      ET_UNUSED BackendExecutionContext& context,
       DelegateHandle* handle,
       EValue** args) const override {
     Method* client_method = static_cast<Method*>(handle);
diff --git a/exir/backend/test/demos/rpc/executor_backend_preprocess.py b/exir/backend/test/demos/rpc/executor_backend_preprocess.py
index aa286af300..0e5b8a8d3d 100644
--- a/exir/backend/test/demos/rpc/executor_backend_preprocess.py
+++ b/exir/backend/test/demos/rpc/executor_backend_preprocess.py
@@ -4,15 +4,17 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 from typing import final, List
 
-from executorch.exir import ExirExportedProgram
 from executorch.exir.backend.backend_details import (
     BackendDetails,
     ExportedProgram,
     PreprocessResult,
 )
 from executorch.exir.backend.compile_spec_schema import CompileSpec
+from executorch.exir.program._program import EdgeProgramManager
 
 
 @final
@@ -23,10 +25,8 @@ def preprocess(
         compile_specs: List[CompileSpec],
     ) -> PreprocessResult:
         return PreprocessResult(
-            processed_bytes=ExirExportedProgram(
-                exported_program=edge_program,
-                # Indicates that edge_program is already in edge dialect.
-                after_to_edge_passes=True,
+            processed_bytes=EdgeProgramManager(
+                edge_programs=edge_program,
             )
             .to_executorch()
             .buffer,
diff --git a/exir/backend/test/demos/rpc/targets.bzl b/exir/backend/test/demos/rpc/targets.bzl
index 71df2d8176..67935e0e37 100644
--- a/exir/backend/test/demos/rpc/targets.bzl
+++ b/exir/backend/test/demos/rpc/targets.bzl
@@ -27,7 +27,6 @@ def define_common_targets():
             "//executorch/kernels/portable:generated_lib",
             "//executorch/runtime/backend:interface",
             "//executorch/extension/data_loader:buffer_data_loader",
-            "//executorch/util:util",
         ] + MODELS_ATEN_OPS_LEAN_MODE_GENERATED_LIB,
         exported_deps = [
             "//executorch/runtime/core:core",
diff --git a/exir/backend/test/op_partitioner_demo.py b/exir/backend/test/op_partitioner_demo.py
index dc20c03e68..62a0aeb782 100644
--- a/exir/backend/test/op_partitioner_demo.py
+++ b/exir/backend/test/op_partitioner_demo.py
@@ -21,6 +21,9 @@
 from executorch.exir.backend.test.backend_with_compiler_demo import (
     BackendWithCompilerDemo,
 )
+from executorch.exir.backend.test.demos.rpc.executor_backend_preprocess import (
+    ExecutorBackend,
+)
 from executorch.exir.dialects._ops import ops as exir_ops
 from executorch.exir.graph_module import get_control_flow_submodules
 from torch._export.utils import is_buffer, is_lifted_tensor_constant, is_param
@@ -29,6 +32,11 @@
 from torch.fx.passes.operator_support import any_chain, OperatorSupportBase
 
 
+class AllOperatorSupport(OperatorSupportBase):
+    def is_node_supported(self, submodules, node: torch.fx.Node) -> bool:
+        return node.op == "call_function"
+
+
 class AddOperatorSupport(OperatorSupportBase):
     def is_node_supported(self, submodules, node: torch.fx.Node) -> bool:
         return node.op == "call_function" and node.target in [
@@ -126,6 +134,48 @@ def partition(self, edge_exported_program: ExportedProgram) -> PartitionResult:
         )
 
 
+@final
+class AllNodesPartitionerDemo(Partitioner):
+    """
+    Partitions all nodes
+    """
+
+    def __init__(self) -> None:
+        self.op_support = AllOperatorSupport()
+        self.delegation_spec = DelegationSpec(ExecutorBackend.__name__, [])
+
+    def partition(self, edge_exported_program: ExportedProgram) -> PartitionResult:
+        partition_tags = {}
+        partition_list = generate_pattern_op_partitions(
+            edge_exported_program.graph_module, op_support=self.op_support
+        )
+        for partition in partition_list:
+            for node in partition.nodes:
+                delegation_tag = f"tag{partition.id}"
+                partition_tags[delegation_tag] = self.delegation_spec
+
+                # Tag the add nodes
+                node.meta["delegation_tag"] = delegation_tag
+
+                for arg_node in node.args:
+                    if not isinstance(arg_node, torch.fx.Node):
+                        continue
+
+                    is_get_attr = arg_node.op == "get_attr"
+                    is_param_buffer = arg_node.op == "placeholder" and (
+                        is_param(edge_exported_program, arg_node)
+                        or is_buffer(edge_exported_program, arg_node)
+                        or is_lifted_tensor_constant(edge_exported_program, arg_node)
+                    )
+                    if is_get_attr or is_param_buffer:
+                        arg_node.meta["delegation_tag"] = delegation_tag
+                    # Add to the list of partitioned nodes.
+
+        return PartitionResult(
+            tagged_exported_program=edge_exported_program, partition_tags=partition_tags
+        )
+
+
 ops_not_to_decompose = [
     torch.ops.aten.linear.default,
     torch.ops.aten.scaled_dot_product_attention.default,
diff --git a/exir/backend/test/test_backends.py b/exir/backend/test/test_backends.py
index 72d61fdf4b..8c1b7c47ff 100644
--- a/exir/backend/test/test_backends.py
+++ b/exir/backend/test/test_backends.py
@@ -35,10 +35,7 @@
 from executorch.exir.delegate import executorch_call_delegate
 from executorch.exir.dialects._ops import ops as exir_ops
 from executorch.exir.graph_module import get_control_flow_submodules
-from executorch.exir.lowered_backend_module import (
-    _get_new_signature,
-    get_lowered_submodules,
-)
+from executorch.exir.lowered_backend_module import get_lowered_submodules
 from executorch.exir.print_program import print_program
 from executorch.exir.schema import (
     BackendDelegate,
@@ -63,7 +60,6 @@
     prepare_fx,
 )
 from torch.export import ExportedProgram
-from torch.export.exported_program import OutputKind, TensorArgument
 from torch.testing import FileCheck
 
 
@@ -1270,21 +1266,3 @@ def forward(self, x: List[torch.Tensor]):
 
         gm = exir.capture(ComposedM(), inputs, exir.CaptureConfig()).to_edge()
         gm(*inputs)
-
-    def test_get_new_signature(self):
-        class MyModule(torch.nn.Module):
-            def forward(self, x, y, z):
-                return x + y, y - z, z * x
-
-        ep = torch.export.export(
-            MyModule(), (torch.randn(3, 2), torch.randn(3, 2), torch.randn(3, 2))
-        )
-        sig, *_ = _get_new_signature(ep, ep.graph_module)
-        output_names = set()
-        self.assertEqual(len(sig.output_specs), 3)
-        for s in sig.output_specs:
-            self.assertEqual(s.kind, OutputKind.USER_OUTPUT)
-            self.assertIsInstance(s.arg, TensorArgument)
-            name = s.arg.name
-            self.assertNotIn(name, output_names)
-            output_names.add(name)
diff --git a/exir/backend/test/test_partitioner.py b/exir/backend/test/test_partitioner.py
index 3ee6202ae8..da1ae0444d 100644
--- a/exir/backend/test/test_partitioner.py
+++ b/exir/backend/test/test_partitioner.py
@@ -26,6 +26,10 @@
 from executorch.exir.backend.test.demos.rpc.executor_backend_preprocess import (
     ExecutorBackend,
 )
+from executorch.exir.backend.test.op_partitioner_demo import (
+    AddAttributePartitionerDemo,
+    AllNodesPartitionerDemo,
+)
 from executorch.exir.backend.utils import get_delegates, tag_constant_data
 
 from executorch.exir.dialects._ops import ops as exir_ops
@@ -35,9 +39,8 @@
     _load_for_executorch_from_buffer,
 )
 from executorch.extension.pytree import tree_flatten
-from torch._export import capture_pre_autograd_graph
 from torch._export.utils import is_buffer, is_lifted_tensor_constant, is_param
-from torch.export import export
+from torch.export import export, export_for_training
 from torch.fx.passes.operator_support import any_chain
 
 
@@ -73,7 +76,7 @@ def partition(
 
         mlp = MLP()
         example_inputs = mlp.get_random_inputs()
-        model = capture_pre_autograd_graph(mlp, example_inputs)
+        model = export_for_training(mlp, example_inputs).module()
         aten = export(model, example_inputs)
         spec_key = "path"
         spec_value = "/a/b/c/d"
@@ -134,7 +137,7 @@ def partition(
 
         mlp = MLP()
         example_inputs = mlp.get_random_inputs()
-        model = capture_pre_autograd_graph(mlp, example_inputs)
+        model = export_for_training(mlp, example_inputs).module()
         aten = export(model, example_inputs)
         edge = exir.to_edge(aten)
 
@@ -174,7 +177,7 @@ def partition(
 
         mlp = MLP()
         example_inputs = mlp.get_random_inputs()
-        model = capture_pre_autograd_graph(mlp, example_inputs)
+        model = export_for_training(mlp, example_inputs).module()
         edge = exir.to_edge(export(model, example_inputs))
 
         with self.assertRaisesRegex(
@@ -226,7 +229,7 @@ def partition(
                     partition_tags=partition_tags,
                 )
 
-        model = capture_pre_autograd_graph(self.AddConst(), (torch.ones(2, 2),))
+        model = export_for_training(self.AddConst(), (torch.ones(2, 2),)).module()
         edge = exir.to_edge(export(model, (torch.ones(2, 2),)))
         delegated = edge.to_backend(PartitionerNoTagData())
 
@@ -305,7 +308,7 @@ def partition(
                     partition_tags=partition_tags,
                 )
 
-        model = capture_pre_autograd_graph(self.AddConst(), (torch.ones(2, 2),))
+        model = export_for_training(self.AddConst(), (torch.ones(2, 2),)).module()
         edge = exir.to_edge(export(model, (torch.ones(2, 2),)))
         delegated = edge.to_backend(PartitionerTagData())
 
@@ -380,7 +383,7 @@ def partition(
                     partition_tags=partition_tags,
                 )
 
-        model = capture_pre_autograd_graph(self.AddConst(), (torch.ones(2, 2),))
+        model = export_for_training(self.AddConst(), (torch.ones(2, 2),)).module()
         edge = exir.to_edge(export(model, (torch.ones(2, 2),)))
         delegated = edge.to_backend(PartitionerTagData())
 
@@ -468,7 +471,7 @@ def partition(
                 )
 
         inputs = (torch.ones(2, 2),)
-        model = capture_pre_autograd_graph(ReuseConstData(), (torch.ones(2, 2),))
+        model = export_for_training(ReuseConstData(), (torch.ones(2, 2),)).module()
         edge = exir.to_edge(export(model, (torch.ones(2, 2),)))
         exec_prog = edge.to_backend(PartitionerTagData()).to_executorch()
         executorch_module = _load_for_executorch_from_buffer(exec_prog.buffer)
@@ -528,7 +531,7 @@ def partition(
                     partition_tags=partition_tags,
                 )
 
-        model = capture_pre_autograd_graph(ReuseConstData(), (torch.ones(2, 2),))
+        model = export_for_training(ReuseConstData(), (torch.ones(2, 2),)).module()
         edge = exir.to_edge(export(model, (torch.ones(2, 2),)))
         with self.assertRaises(RuntimeError) as error:
             _ = edge.to_backend(PartitionerTagData())
@@ -619,3 +622,111 @@ def partition(
             and node.target == torch.ops.aten.copy_.default
         ]
         self.assertEqual(len(copy_node), 1)
+
+    def test_buffer_mutation1(self):
+        class TestModule(torch.nn.Module):
+            def __init__(self):
+                super().__init__()
+                self.register_buffer("b", torch.ones(3, 3))
+
+            def forward(self, x):
+                self.b.add_(x)
+                return x + self.b
+
+        model_inputs = (torch.ones(3, 3),)
+        orig_res = TestModule()(*model_inputs)
+        edge_program = exir.to_edge(torch.export.export(TestModule(), model_inputs))
+        lowered = edge_program.to_backend(AddAttributePartitionerDemo())
+
+        self.assertTrue(
+            torch.allclose(lowered.exported_program().module()(*model_inputs), orig_res)
+        )
+
+        self.assertEqual(
+            len(lowered.exported_program().graph_signature.buffers_to_mutate),
+            0,
+        )
+        lowered_module_nodes = get_delegates(lowered.exported_program().graph)
+        self.assertEqual(len(lowered_module_nodes), 1)
+        lowered_module_node = lowered_module_nodes[0]
+
+        # get call delegate node
+        call_delegate_node = list(lowered_module_node.users.keys())[0]
+        self.assertEqual(len(call_delegate_node.args), 2)
+
+        lower_module = getattr(
+            lowered.exported_program().graph_module, lowered_module_node.name
+        )
+        delegated_ep = lower_module.original_module
+
+        self.assertEqual(len(delegated_ep.state_dict), 1)
+        self.assertEqual(len(delegated_ep.graph_signature.buffers_to_mutate), 1)
+        self.assertEqual(len(delegated_ep.graph_signature.buffers), 1)
+
+    def test_buffer_mutation_llama_repro(self):
+        SHAPE = (2, 3)
+
+        class Model(torch.nn.Module):
+            def __init__(self):
+                super().__init__()
+                self.register_buffer("cache", torch.zeros(SHAPE, dtype=torch.float32))
+
+            def forward(self, q, k_val, input_pos):
+                q_T = q.transpose(0, 1)
+                k = torch.ops.aten.index_put_(self.cache, [input_pos, None], k_val)
+                attn = k.mm(q_T)
+                return attn
+
+        q = torch.rand(1, 3)
+        k = torch.rand(1, 3)
+        example_inputs = (q, k, torch.tensor([1, 1]))
+
+        model = Model()
+        model.eval()
+
+        exir_program_aten = torch.export.export(model, example_inputs)
+        exir_program_aten.module()(*example_inputs)
+        edge_program_manager = exir.to_edge(exir_program_aten)
+        lowered = edge_program_manager.to_backend(AllNodesPartitionerDemo())
+
+        self.assertEqual(
+            len(lowered.exported_program().graph_signature.buffers_to_mutate),
+            0,
+        )
+        lowered_module_nodes = get_delegates(lowered.exported_program().graph)
+        self.assertEqual(len(lowered_module_nodes), 1)
+        lowered_module_node = lowered_module_nodes[0]
+
+        # get call delegate node
+        call_delegate_node = list(lowered_module_node.users.keys())[0]
+        self.assertEqual(len(call_delegate_node.args), 4)
+
+        lower_module = getattr(
+            lowered.exported_program().graph_module, lowered_module_node.name
+        )
+        delegated_ep = lower_module.original_module
+
+        self.assertEqual(len(delegated_ep.state_dict), 1)
+        self.assertEqual(len(delegated_ep.graph_signature.buffers_to_mutate), 1)
+        self.assertEqual(len(delegated_ep.graph_signature.buffers), 1)
+
+    def test_buffer_mutation_unsupported(self):
+        SHAPE = (2, 3)
+
+        class Model(torch.nn.Module):
+            def __init__(self):
+                super().__init__()
+                self.register_buffer("state_1", torch.zeros(SHAPE, dtype=torch.float32))
+
+            def forward(self, x):
+                add = self.state_1.add_(x)
+                return add
+
+        model = Model()
+        model.eval()
+
+        example_inputs = (torch.randn(SHAPE),)
+        exir_program_aten = torch.export.export(model, example_inputs)
+        edge_program_manager = exir.to_edge(exir_program_aten)
+        with self.assertRaises(AssertionError):
+            edge_program_manager.to_backend(AddAttributePartitionerDemo())
diff --git a/exir/backend/test/test_passes.py b/exir/backend/test/test_passes.py
index 8a43431520..4dcc7757fa 100644
--- a/exir/backend/test/test_passes.py
+++ b/exir/backend/test/test_passes.py
@@ -11,8 +11,8 @@
 from executorch.exir.backend.canonical_partitioners.duplicate_constant_node_pass import (
     duplicate_constant_node,
 )
-from torch._export import capture_pre_autograd_graph
 from torch._export.utils import is_buffer
+from torch.export import export_for_training
 from torch.testing import FileCheck
 
 
@@ -29,7 +29,7 @@ def forward(self, x):
                 z = x - self.const
                 return y, z
 
-        model = capture_pre_autograd_graph(ReuseConstData(), (torch.ones(2, 2),))
+        model = export_for_training(ReuseConstData(), (torch.ones(2, 2),)).module()
         edge = exir.to_edge(torch.export.export(model, (torch.ones(2, 2),)))
 
         const_nodes = [
diff --git a/exir/backend/test/test_utils.py b/exir/backend/test/test_utils.py
index 2f24b734b7..0fc522dd68 100644
--- a/exir/backend/test/test_utils.py
+++ b/exir/backend/test/test_utils.py
@@ -6,8 +6,6 @@
 
 import unittest
 
-import pandas as pd
-
 import torch
 from executorch import exir
 from executorch.exir import to_edge
@@ -15,16 +13,13 @@
 from executorch.exir.backend.partitioner import Partitioner, PartitionResult
 from executorch.exir.backend.test.op_partitioner_demo import AddMulPartitionerDemo
 from executorch.exir.backend.utils import (
-    DelegationBreakdown,
     format_delegated_graph,
     get_delegates,
-    get_delegation_info,
     get_non_lowered_nodes,
     is_identical_graph,
 )
 
 from executorch.exir.dialects._ops import bind_pattern_to_op, ops as exir_ops
-from pandas.testing import assert_frame_equal
 from torch.export import export, ExportedProgram
 from torch.fx import symbolic_trace
 from torch.fx.passes.utils.matcher_utils import SubgraphMatcher
@@ -277,65 +272,3 @@ def forward(self, a, x, b):
             graph_str,
             "Expect to see the aten.mm in the delegated graph",
         )
-
-    def test_get_delegation_info(self):
-        class Model(torch.nn.Module):
-            def __init__(self):
-                super().__init__()
-
-            def forward(self, a, x, b):
-                y = torch.mm(a, x)
-                z = y + b
-                a = z - a
-                y = torch.mm(a, x)
-                z = y + b
-                return z
-
-        m = Model()
-        inputs = (torch.randn(2, 2), torch.randn(2, 2), torch.randn(2, 2))
-        edge = to_edge(torch.export.export(m, inputs)).to_backend(
-            AddMulPartitionerDemo()
-        )
-        delegation_info = get_delegation_info(edge.exported_program().graph_module)
-
-        self.assertEqual(delegation_info.num_delegated_subgraphs, 2)
-        self.assertEqual(delegation_info.num_delegated_nodes, 4)
-        self.assertEqual(delegation_info.num_non_delegated_nodes, 3)
-        expected_delegation_by_op_dict = {
-            "aten_add_tensor": DelegationBreakdown(
-                op_type="aten_add_tensor", delegated=2, non_delegated=0
-            ),
-            "aten_mm_default": DelegationBreakdown(
-                op_type="aten_mm_default", delegated=2, non_delegated=0
-            ),
-            "aten_sub_tensor": DelegationBreakdown(
-                op_type="aten_sub_tensor", delegated=0, non_delegated=1
-            ),
-            "getitem": DelegationBreakdown(
-                op_type="getitem", delegated=0, non_delegated=2
-            ),
-        }
-        self.assertEqual(
-            delegation_info.delegation_by_operator, expected_delegation_by_op_dict
-        )
-
-        self.assertIn(
-            "Total delegated subgraphs",
-            delegation_info.get_summary(),
-        )
-
-        df = delegation_info.get_operator_delegation_dataframe()
-        expected_df = pd.DataFrame(
-            {
-                "op_type": [
-                    "aten_add_tensor",
-                    "aten_mm_default",
-                    "aten_sub_tensor",
-                    "getitem",
-                    "Total",
-                ],
-                "occurrences_in_delegated_graphs": [2, 2, 0, 0, 4],
-                "occurrences_in_non_delegated_graphs": [0, 0, 1, 2, 3],
-            }
-        )
-        assert_frame_equal(expected_df, df)
diff --git a/exir/backend/utils.py b/exir/backend/utils.py
index 6b85e4b603..fb5e16c6bd 100644
--- a/exir/backend/utils.py
+++ b/exir/backend/utils.py
@@ -6,13 +6,10 @@
 
 import logging
 import operator
-import re
 from collections import defaultdict
-from dataclasses import asdict, dataclass
 from functools import lru_cache
 from typing import Dict, Iterable, List, Optional, Set, Tuple, Union
 
-import pandas as pd
 import torch
 from executorch.exir.backend.backend_details import ExportedProgram
 from executorch.exir.backend.canonical_partitioners.duplicate_constant_node_pass import (
@@ -30,14 +27,6 @@
 T_QuantPerTensor = exir_ops.edge.quantized_decomposed.quantize_per_tensor.default
 T_DQuantPerTensor = exir_ops.edge.quantized_decomposed.dequantize_per_tensor.default
 
-# Column names of the DataFrame returned by DelegationInfo.get_operator_delegation_dataframe()
-# which describes the summarized delegation information grouped by each operator type
-_OCCURRENCES_IN_DELEGATED_GRAPHS = "occurrences_in_delegated_graphs"
-_OCCURRENCES_IN_NON_DELEGATED_GRAPHS = "occurrences_in_non_delegated_graphs"
-
-
-log: logging.Logger = logging.getLogger(__name__)
-
 
 # NB: Set this to None to handle validation from MobileBert
 @lru_cache(maxsize=None)
@@ -216,7 +205,6 @@ def _assign_new_tag(
 def _maybe_duplicate_constant_nodes(
     tagged_exported_program: ExportedProgram,
     tag: str,
-    owning_program: ExportedProgram,
 ) -> None:
     """
     If the constants node is shared by different tagged nodes, like
@@ -249,7 +237,6 @@ def _maybe_duplicate_constant_nodes(
         copied_nodes = copied_nodes.union(
             duplicate_constant_node(tagged_exported_program, candidate_node)
         )
-        duplicate_constant_node(owning_program, candidate_node)
     candidate_node_with_copies = candidate_nodes.union(copied_nodes)
     _assign_new_tag(tagged_exported_program, candidate_node_with_copies)
 
@@ -291,163 +278,6 @@ def get_delegates(graph: torch.fx.Graph) -> List[torch.fx.Node]:
     ]
 
 
-@dataclass
-class DelegationBreakdown:
-    """
-    DelegationBreakdown contains the number of delegated and non-delegated nodes
-    of the operator type op_type.
-
-    Args:
-        delegated: The number of delegated nodes.
-        non_delegated: The number of non-delegated nodes.
-    """
-
-    op_type: str = ""
-    delegated: int = 0
-    non_delegated: int = 0
-
-
-@dataclass
-class DelegationInfo:
-    """
-    DelegationInfo contains information of a delegated graph module.
-
-    Args:
-        num_delegated_subgraphs: The number of delegated subgraphs.
-        num_delegated_nodes: The number of delegated nodes.
-        num_non_delegated_nodes: The number of non-delegated nodes.
-        delegation_by_operator: A dictionary of operator type to DelegationBreakdown.
-    """
-
-    num_delegated_subgraphs: int
-    num_delegated_nodes: int
-    num_non_delegated_nodes: int
-    delegation_by_operator: Dict[str, DelegationBreakdown]
-
-    def get_summary(self) -> str:
-        """
-        Get a summary of the delegation information in string format.
-
-        Args:
-            None
-
-        Returns:
-            A string containing information of some class attributes for easy print-out.
-        """
-
-        # Assemble and return the summary string
-        summary_str = f"Total delegated subgraphs: {self.num_delegated_subgraphs}\n"
-        summary_str += f"Number of delegated nodes: {self.num_delegated_nodes}\n"
-        summary_str += (
-            f"Number of non-delegated nodes: {self.num_non_delegated_nodes}\n"
-        )
-        return summary_str
-
-    def get_operator_delegation_dataframe(self) -> pd.DataFrame:
-        """
-        Get the delegation information grouped by operator type in a pandas DataFrame.
-
-        Args:
-            None
-
-        Returns:
-            Returns a pandas DataFrame containing the following columns:
-            - op_type: The operator type, with the last row being "Total".
-            - occurrences_in_delegated_graphs: The number of occurrences of the op_type in delegated subgraphs.
-            - occurrences_in_non_delegated_graphs: The number of occurrences of the op_type not in delegated subgraphs.
-            With the last row being the total number of delegated and non-delegated occurrences of each op_type.
-        """
-
-        # Convert the dict to a dataframe
-        list_of_dicts = [
-            asdict(breakdown) for breakdown in self.delegation_by_operator.values()
-        ]
-        df = pd.DataFrame(list_of_dicts)
-        # Rename columns for better understandability
-        df = df.rename(
-            columns={
-                "delegated": _OCCURRENCES_IN_DELEGATED_GRAPHS,
-                "non_delegated": _OCCURRENCES_IN_NON_DELEGATED_GRAPHS,
-            }
-        )
-        df = df.sort_values(by="op_type", ignore_index=True)
-
-        # Add a Total row at the bottom
-        total_delegated_nodes = df[_OCCURRENCES_IN_DELEGATED_GRAPHS].sum()
-        total_non_delegated_nodes = df[_OCCURRENCES_IN_NON_DELEGATED_GRAPHS].sum()
-        df.loc[len(df)] = ["Total", total_delegated_nodes, total_non_delegated_nodes]
-
-        return df
-
-
-def get_delegation_info(
-    graph_module: torch.fx.GraphModule,
-) -> DelegationInfo:
-    """
-    Util function to get the delegation information of the given graph module.
-
-    Args:
-        graph_module: The lowered graph module to get the delegation information from.
-
-    Returns:
-        Return a DelegationInfo object containing the delegation information.
-    """
-
-    def _get_op_type(node_name: str) -> str:
-        # node_name is in format <op_type> or <op_type>_x in which x is an integer suffix.
-        return re.sub(r"_[\d]+$", "", node_name)
-
-    op_occurrences_dict = defaultdict(lambda: DelegationBreakdown())
-
-    def _insert_op_occurrences_dict(node_name: str, delegated: bool) -> None:
-        op_type = _get_op_type(node_name)
-        op_occurrences_dict[op_type].op_type = op_type
-        if delegated:
-            op_occurrences_dict[op_type].delegated += 1
-        else:
-            op_occurrences_dict[op_type].non_delegated += 1
-
-    delegated_subgraph_counter = 0
-
-    lowered_module_dict = {
-        node.name: getattr(graph_module, node.name)
-        for node in graph_module.graph.nodes
-        if node.op == "get_attr" and node.name.startswith("lowered_module_")
-    }
-
-    for node in graph_module.graph.nodes:
-        if (
-            node.op == "call_function"
-            and _get_op_type(node.name) != "executorch_call_delegate"
-        ):
-            # Non-delegated node
-            _insert_op_occurrences_dict(node_name=node.name, delegated=False)
-        # Check if the node is a lowered module
-        if node.op == "get_attr" and node.name.startswith("lowered_module_"):
-            lowered_module = lowered_module_dict[node.name]
-            delegated_subgraph_counter += 1
-            for node_in_lowered_module in lowered_module.original_module.graph.nodes:
-                if node_in_lowered_module.op == "call_function":
-                    # Delegated node
-                    _insert_op_occurrences_dict(
-                        node_name=node_in_lowered_module.name, delegated=True
-                    )
-
-    # Calculate the total number of delegated and non-delegated nodes
-    num_delegated_nodes = 0
-    num_non_delegated_nodes = 0
-    for value in op_occurrences_dict.values():
-        num_delegated_nodes += value.delegated
-        num_non_delegated_nodes += value.non_delegated
-
-    return DelegationInfo(
-        num_delegated_nodes=num_delegated_nodes,
-        num_non_delegated_nodes=num_non_delegated_nodes,
-        num_delegated_subgraphs=delegated_subgraph_counter,
-        delegation_by_operator=op_occurrences_dict,
-    )
-
-
 def print_delegated_graph(graph_module: torch.fx.GraphModule) -> None:
     """
     Print the formatted graph string.
@@ -553,6 +383,40 @@ def tag_constant_data(edge_program: ExportedProgram) -> None:
                     node.meta["delegation_tag"] = user_tags.pop()
 
 
+def tag_mutated_buffer(edge_program: ExportedProgram) -> None:
+    """
+    Util function for partitioners. This function tags the mutated buffer nodes
+    whose users all belong within the same partition. This should be called after tagging all other nodes.
+    Any buffer which is used as input to a subgraph, will be tagged with the same tag as that
+    subgraph. Throw error when buffers is used across different partitions. That is the
+    underlying data will be owned by multiple delegates.
+    """
+    for node in edge_program.graph.nodes:
+        # Determine whether this node is a mutated buffer
+        is_mutated_buffer_node = False
+        if node.op == "placeholder" and is_buffer(edge_program, node):
+            for node_user in node.users:
+                if node_user.name in edge_program.graph_signature.buffers_to_mutate:
+                    is_mutated_buffer_node = True
+                    break
+        # This node is mutated buffer, tag it
+        if is_mutated_buffer_node:
+            user_tags = set()
+            for user in node.users:
+                user_tag = user.meta.get("delegation_tag", None)
+                if user_tag is not None:
+                    user_tags.add(user_tag)
+            if len(user_tags) > 1:
+                logging.info(
+                    f"The data node is used across multiple partitions, including {user_tags}. "
+                    "If the data is too large and it's not preferred to copy, please tag the "
+                    "constant node like node.['no_copy'] = True and they won't be copied."
+                )
+            # tag the data node with the same tag as the last user
+            if len(user_tags) > 0:
+                node.meta["delegation_tag"] = user_tags.pop()
+
+
 # TODO - style: use templated types
 class DelegateMappingBuilder:
     """
@@ -666,3 +530,31 @@ def insert_delegate_mapping_entry(
         # pyre-ignore Warning from Union[int, st] keys
         self._debug_handle_map[identifier] = filtered_debug_handles
         return identifier
+
+
+class WhyNoPartition:
+    """
+    Simple helper class for partitioners to log why a node was not lowered.
+
+    Example usage:
+
+        # In your backend partitioner file(s)
+        why = WhyNoPartition(logger=your_backend_logger)
+
+        # hypothetical function that checks if a node can be lowered
+        if not can_be_lowered(node):
+            why(node, "This node was not lowered because ...")
+    """
+
+    def __init__(self, logger: logging.Logger):
+        self.logger = logger
+        self.node: Optional[torch.fx.Node] = None
+        self.reason: str = ""
+
+    def __call__(self, node: torch.fx.Node, reason: str) -> None:
+        self.node = node
+        self.reason = reason
+        self.logger.debug(self)
+
+    def __str__(self) -> str:
+        return f"WhyNoPartition: Node {self.node} was not partitioned because {self.reason}."
diff --git a/exir/capture/_config.py b/exir/capture/_config.py
index d959f10403..24865e7a84 100644
--- a/exir/capture/_config.py
+++ b/exir/capture/_config.py
@@ -5,14 +5,15 @@
 # LICENSE file in the root directory of this source tree.
 
 # pyre-unsafe
-
 from dataclasses import dataclass, field
 from typing import Dict, List, Optional, Union
 
+import torch
+
 from executorch.exir.dynamic_shape import DynamicMemoryPlanningMode
 from executorch.exir.pass_manager import PassType
 from executorch.exir.passes import MemoryPlanningPass, ToOutVarPass
-from executorch.exir.passes.sym_shape_eval_pass import HintBasedSymShapeEvalPass
+from executorch.exir.passes.sym_shape_eval_pass import ConstraintBasedSymShapeEvalPass
 from executorch.exir.tracer import ExirDynamoConfig
 from torch.fx._compatibility import compatibility
 
@@ -38,6 +39,10 @@ class EdgeCompileConfig:
     _check_ir_validity: bool = True
     # TODO(larryliu): remove this
     _use_edge_ops: bool = True
+    # Allow core ATen ops check to be skipped for certain ops, but continue with the rest of the checks.
+    _core_aten_ops_exception_list: List[torch._ops.OpOverload] = field(
+        default_factory=list
+    )
     _skip_type_promotion: bool = False
     # TODO(gasoonjia): remove this
     # TODO(T192537614): reenanle dim order as default
@@ -51,9 +56,7 @@ class ExecutorchBackendConfig:
 
     # A single memory planning pass can be defined for all the programs in the
     # EdgeProgramManager or can be defined per program.
-    memory_planning_pass: Union[PassType, Dict[str, PassType]] = MemoryPlanningPass(
-        "greedy"
-    )
+    memory_planning_pass: Union[PassType, Dict[str, PassType]] = MemoryPlanningPass()
     to_out_var_pass: PassType = ToOutVarPass(ignore_to_out_var_failure=False)
     dynamic_memory_planning_mode: DynamicMemoryPlanningMode = (
         DynamicMemoryPlanningMode.UPPER_BOUND
@@ -65,15 +68,9 @@ class ExecutorchBackendConfig:
     # This makes it possible to free those blobs at runtime.
     extract_delegate_segments: bool = True
 
-    # Whether to extract constants from the Program into separate segments,
-    # rather than encoding those constants in the flatbuffer data.
-    # This reduces the memory overhead of creating the .pte file for models with
-    # large constant data.
-    extract_constant_segment: bool = True
-
     # When extracting segments, the starting offset of each segment will be
     # aligned to this value (in bytes). Must be a power of two.
-    segment_alignment: int = 4096
+    segment_alignment: int = 128
 
     # If provided, the minimum alignment of tensor buffers in the program. Must
     # be a power of 2. If not provided, uses the value in the schema file.
@@ -82,7 +79,12 @@ class ExecutorchBackendConfig:
     # If provided, the minimum alignment of delegate data in the program. Must
     # be a power of 2. If not provided, uses the value in the schema file.
     delegate_alignment: Optional[int] = None
-    sym_shape_eval_pass: PassType = HintBasedSymShapeEvalPass()
+
+    # A single sym shape eval pass can be defined for all the programs in the
+    # EdgeProgramManager or can be defined per program.
+    sym_shape_eval_pass: Union[PassType, Dict[str, PassType]] = (
+        ConstraintBasedSymShapeEvalPass()
+    )
 
     # If set to true, view_copy operations will be converted to lightweight
     # view operations in the ET runtime
diff --git a/exir/delegate.py b/exir/delegate.py
index 1b3f81bb09..694ea6fa32 100644
--- a/exir/delegate.py
+++ b/exir/delegate.py
@@ -8,156 +8,164 @@
 
 from __future__ import annotations
 
-from typing import Any, cast
+try:  # noqa: C901
+    from torch._higher_order_ops.executorch_call_delegate import (
+        executorch_call_delegate as executorch_call_delegate,
+        get_lowered_module_name as get_lowered_module_name,
+        is_lowered_module as is_lowered_module,
+    )
+
+except ImportError:
 
-import torch
-import torch.utils._pytree as pytree
-from torch._ops import HigherOrderOperator
-from torch._subclasses.fake_tensor import FakeTensorMode
-from torch.fx.experimental.proxy_tensor import (
-    disable_proxy_modes_tracing,
-    get_proxy_slot,
-    ProxyTorchDispatchMode,
-    track_tensor_tree,
-)
-from torch.utils._pytree import tree_flatten
+    # TODO: Delete this code once pytorch pin advances
 
+    from typing import Any, cast
 
-executorch_call_delegate = HigherOrderOperator("executorch_call_delegate")
-executorch_call_delegate.fallthrough(torch._C.DispatchKey.PythonDispatcher)
-executorch_call_delegate.fallthrough(torch._C.DispatchKey.PythonTLSSnapshot)
-executorch_call_delegate.fallthrough(torch._C.DispatchKey.ADInplaceOrView)
-executorch_call_delegate.fallthrough(torch._C.DispatchKey.AutocastCPU)
+    import torch
+    import torch.utils._pytree as pytree
+    from torch._ops import HigherOrderOperator
+    from torch._subclasses.fake_tensor import FakeTensorMode
+    from torch.fx.experimental.proxy_tensor import (
+        disable_proxy_modes_tracing,
+        get_proxy_slot,
+        ProxyTorchDispatchMode,
+        track_tensor_tree,
+    )
+    from torch.utils._pytree import tree_flatten
 
-LOWERED_BACKEND_MODULE_TYPE = "LoweredBackendModule"
+    executorch_call_delegate = HigherOrderOperator("executorch_call_delegate")
+    executorch_call_delegate.fallthrough(torch._C.DispatchKey.PythonDispatcher)
+    executorch_call_delegate.fallthrough(torch._C.DispatchKey.PythonTLSSnapshot)
+    executorch_call_delegate.fallthrough(torch._C.DispatchKey.ADInplaceOrView)
+    executorch_call_delegate.fallthrough(torch._C.DispatchKey.AutocastCPU)
 
+    LOWERED_BACKEND_MODULE_TYPE = "LoweredBackendModule"
 
-# pyre-ignore
-def trace_call_delegate(proxy_mode, func_overload, lowered_module, *args):
     # pyre-ignore
-    def _unwrap_proxy(e):
-        if not isinstance(e, (torch.Tensor, torch.SymInt, torch.SymFloat)):
-            return e
-        return get_proxy_slot(
-            cast(torch.Tensor, e), proxy_mode.tracer, e, lambda e: e.proxy
+    def trace_call_delegate(proxy_mode, func_overload, lowered_module, *args):
+        # pyre-ignore
+        def _unwrap_proxy(e):
+            if not isinstance(e, (torch.Tensor, torch.SymInt, torch.SymFloat)):
+                return e
+            return get_proxy_slot(
+                cast(torch.Tensor, e), proxy_mode.tracer, e, lambda e: e.proxy
+            )
+
+        if not is_lowered_module(lowered_module):
+            raise ValueError(
+                "executorch_call_delegate()'s first argument must be a LoweredBackendModule"
+            )
+
+        with disable_proxy_modes_tracing():
+            out = call_delegate_cpu(lowered_module, *args)
+
+        get_lowered_module_name(proxy_mode.tracer.root, lowered_module)
+
+        node_args = (lowered_module, *args)
+        proxy_args = pytree.tree_map(_unwrap_proxy, node_args)
+        out_proxy = proxy_mode.tracer.create_proxy(
+            "call_function",
+            func_overload,
+            proxy_args,
+            {},
+            name="executorch_call_delegate",
         )
-
-    if not is_lowered_module(lowered_module):
-        raise ValueError(
-            "executorch_call_delegate()'s first argument must be a LoweredBackendModule"
+        return track_tensor_tree(
+            out, out_proxy, constant=None, tracer=proxy_mode.tracer
         )
 
-    with disable_proxy_modes_tracing():
-        out = call_delegate_cpu(lowered_module, *args)
-
-    get_lowered_module_name(proxy_mode.tracer.root, lowered_module)
-
-    node_args = (lowered_module, *args)
-    proxy_args = pytree.tree_map(_unwrap_proxy, node_args)
-    out_proxy = proxy_mode.tracer.create_proxy(
-        "call_function", func_overload, proxy_args, {}, name="executorch_call_delegate"
-    )
-    return track_tensor_tree(out, out_proxy, constant=None, tracer=proxy_mode.tracer)
-
-
-@executorch_call_delegate.py_impl(torch._C.DispatchKey.CompositeExplicitAutograd)
-# pyre-ignore
-def call_delegate_cpu(lowered_module, *args):
-    # FX creates this immutable_dict/list concept. Get rid of this.
-    map_types = {
-        torch.fx.immutable_collections.immutable_dict: dict,
-        torch.fx.immutable_collections.immutable_list: list,
-    }
-    new_args = pytree.tree_map_only(
-        tuple(map_types.keys()),
-        lambda a: map_types[type(a)](a),
-        args,
-        lambda a: isinstance(a, tuple(map_types.keys())),
-    )
-    return lowered_module.original_module.module()(*new_args)
+    @executorch_call_delegate.py_impl(torch._C.DispatchKey.CompositeExplicitAutograd)
+    # pyre-ignore
+    def call_delegate_cpu(lowered_module, *args):
+        # FX creates this immutable_dict/list concept. Get rid of this.
+        map_types = {
+            torch.fx.immutable_collections.immutable_dict: dict,
+            torch.fx.immutable_collections.immutable_list: list,
+        }
+        new_args = pytree.tree_map_only(
+            tuple(map_types.keys()),
+            lambda a: map_types[type(a)](a),
+            args,
+            lambda a: isinstance(a, tuple(map_types.keys())),
+        )
+        return lowered_module.original_module.module()(*new_args)
 
+    @executorch_call_delegate.py_impl(torch._C.DispatchKey.Autograd)
+    # pyre-ignore
+    def call_delegate_autograd(lowered_module, *args):
+        # TODO: support autograd
+        flat_operands, _ = tree_flatten([lowered_module, *args])
+        requires_grad = any(
+            f.requires_grad for f in flat_operands if isinstance(f, torch.Tensor)
+        )
 
-@executorch_call_delegate.py_impl(torch._C.DispatchKey.Autograd)
-# pyre-ignore
-def call_delegate_autograd(lowered_module, *args):
-    # TODO: support autograd
-    flat_operands, _ = tree_flatten([lowered_module, *args])
-    requires_grad = any(
-        f.requires_grad for f in flat_operands if isinstance(f, torch.Tensor)
-    )
+        with torch._C._ExcludeDispatchKeyGuard(
+            torch._C.DispatchKeySet(torch._C.DispatchKey.AutogradCPU)
+        ):
+            res = executorch_call_delegate(lowered_module, *args)
 
-    with torch._C._ExcludeDispatchKeyGuard(
-        torch._C.DispatchKeySet(torch._C.DispatchKey.AutogradCPU)
-    ):
-        res = executorch_call_delegate(lowered_module, *args)
+            if requires_grad:
+                # Create aliases of the output that has requires_grad=True. We need
+                # at least one of the inputs to err_fn to require grad so that the
+                # output will have a grad_fn.
 
-        if requires_grad:
-            # Create aliases of the output that has requires_grad=True. We need
-            # at least one of the inputs to err_fn to require grad so that the
-            # output will have a grad_fn.
+                # pyre-ignore
+                def fake_requires_grad(var):
+                    if var is not None:
+                        var = var.detach()
+                        if torch.is_floating_point(var) or torch.is_complex(var):
+                            var.requires_grad = True
+                    return var
 
-            # pyre-ignore
-            def fake_requires_grad(var):
-                if var is not None:
-                    var = var.detach()
-                    if torch.is_floating_point(var) or torch.is_complex(var):
-                        var.requires_grad = True
-                return var
+                return pytree.tree_map_only(torch.Tensor, fake_requires_grad, res)
 
-            return pytree.tree_map_only(torch.Tensor, fake_requires_grad, res)
+            return res
 
+    @executorch_call_delegate.py_impl(ProxyTorchDispatchMode)
+    # pyre-ignore
+    def call_delegate_proxy_torch_dispatch_mode(mode, lowered_module, *args):
+        res = trace_call_delegate(mode, executorch_call_delegate, lowered_module, *args)
         return res
 
+    @executorch_call_delegate.py_impl(FakeTensorMode)
+    # pyre-ignore
+    def call_delegate_fake_tensor_mode(mode, lowered_module, *args):
+        with mode:
+            return call_delegate_cpu(lowered_module, *args)
 
-@executorch_call_delegate.py_impl(ProxyTorchDispatchMode)
-# pyre-ignore
-def call_delegate_proxy_torch_dispatch_mode(mode, lowered_module, *args):
-    res = trace_call_delegate(mode, executorch_call_delegate, lowered_module, *args)
-    return res
-
-
-@executorch_call_delegate.py_impl(FakeTensorMode)
-# pyre-ignore
-def call_delegate_fake_tensor_mode(mode, lowered_module, *args):
-    with mode:
-        return call_delegate_cpu(lowered_module, *args)
-
-
-@executorch_call_delegate.py_functionalize_impl
-# pyre-ignore
-def call_delegate_functionalize(ctx, lowered_module, *args):
-    unwrapped_args = tuple(ctx.unwrap_tensors(arg) for arg in args)
-    with ctx.redispatch_to_next():
-        res = executorch_call_delegate(lowered_module, *unwrapped_args)
-        return ctx.wrap_tensors(res)
-
-
-# pyre-ignore: Missing parameter annotation [2]: Parameter `obj` must have a type other than `Any`.Pyre
-def is_lowered_module(obj: Any) -> bool:
-    """
-    This function is added to avoid using isinstance(obj, LoweredBackendModule) as it will import LoweredBackendModule, which may cause a circular import.
-    """
-    return type(obj).__name__ == LOWERED_BACKEND_MODULE_TYPE
-
-
-def get_lowered_module_name(
-    root: torch.nn.Module,
-    # pyre-ignore: Undefined or invalid type [11]: Annotation `LoweredBackendModule` is not defined as a type.
-    lowered_module: LOWERED_BACKEND_MODULE_TYPE,  # noqa
-) -> str:
-    """
-    Adds the given lowered_module into the given root module and returns the
-    name of the module added.
-    """
-    # Find a qualifying name for the lowered submodule
-    qualname = None
-    i = 0
-    while True:
-        qualname = f"lowered_module_{i}"
-        if not hasattr(root, qualname):
-            break
-        i += 1
-    assert qualname is not None
-
-    root.add_module(qualname, lowered_module)
-    return qualname
+    @executorch_call_delegate.py_functionalize_impl
+    # pyre-ignore
+    def call_delegate_functionalize(ctx, lowered_module, *args):
+        unwrapped_args = tuple(ctx.unwrap_tensors(arg) for arg in args)
+        with ctx.redispatch_to_next():
+            res = executorch_call_delegate(lowered_module, *unwrapped_args)
+            return ctx.wrap_tensors(res)
+
+    # pyre-ignore: Missing parameter annotation [2]: Parameter `obj` must have a type other than `Any`.Pyre
+    def is_lowered_module(obj: Any) -> bool:
+        """
+        This function is added to avoid using isinstance(obj, LoweredBackendModule) as it will import LoweredBackendModule, which may cause a circular import.
+        """
+        return type(obj).__name__ == LOWERED_BACKEND_MODULE_TYPE
+
+    def get_lowered_module_name(
+        root: torch.nn.Module,
+        # pyre-ignore: Undefined or invalid type [11]: Annotation `LoweredBackendModule` is not defined as a type.
+        lowered_module: LOWERED_BACKEND_MODULE_TYPE,  # noqa
+    ) -> str:
+        """
+        Adds the given lowered_module into the given root module and returns the
+        name of the module added.
+        """
+        # Find a qualifying name for the lowered submodule
+        qualname = None
+        i = 0
+        while True:
+            qualname = f"lowered_module_{i}"
+            if not hasattr(root, qualname):
+                break
+            i += 1
+        assert qualname is not None
+
+        root.add_module(qualname, lowered_module)
+        return qualname
diff --git a/exir/delegate.pyi b/exir/delegate.pyi
new file mode 100644
index 0000000000..8a2a7d16b9
--- /dev/null
+++ b/exir/delegate.pyi
@@ -0,0 +1,21 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# TODO: delete this when pytorch pin advances
+
+from typing import Any
+
+import torch
+from torch._ops import HigherOrderOperator
+
+executorch_call_delegate: HigherOrderOperator
+
+def is_lowered_module(obj: Any) -> bool: ...
+def get_lowered_module_name(
+    root: torch.nn.Module,
+    # pyre-ignore: Undefined or invalid type [11]: Annotation `LoweredBackendModule` is not defined as a type.
+    lowered_module: LOWERED_BACKEND_MODULE_TYPE,  # noqa
+) -> str: ...
diff --git a/exir/emit/_emit_program.py b/exir/emit/_emit_program.py
index 6b545e0a7d..9c8c9dfd06 100644
--- a/exir/emit/_emit_program.py
+++ b/exir/emit/_emit_program.py
@@ -17,7 +17,8 @@
     _TopLevelEmitter,
 )
 from executorch.exir.error import ExportError, ExportErrorType
-from executorch.exir.schema import Program, SubsegmentOffsets
+
+from executorch.exir.schema import Buffer, Program, SubsegmentOffsets
 from executorch.exir.version import EXECUTORCH_SCHEMA_VERSION
 from torch.export.exported_program import ExportedProgram, OutputKind
 from torch.utils import _pytree as pytree
@@ -44,6 +45,8 @@ class EmitterOutput:
         str, Dict[int, Dict[str, Union[str, _DelegateDebugIdentifierMap]]]
     ]
 
+    mutable_data: Optional[List[Buffer]]
+
 
 def _remove_non_user_outputs(exported_program: ExportedProgram) -> torch.fx.GraphModule:
     gm = exported_program.graph_module
@@ -75,6 +78,35 @@ def _remove_non_user_outputs(exported_program: ExportedProgram) -> torch.fx.Grap
     return gm
 
 
+# For each entry point in the model, determine if its a joint graph,
+# and if it is return a map of the indices in the model output that the
+# gradient outputs start at and that the parameter outputs start at.
+def _get_training_metadata(methods: Dict[str, ExportedProgram]) -> Dict[str, int]:
+    gradients_method_prefix = "__et_training_gradients_index_"
+    parameters_method_prefix = "__et_training_parameters_index_"
+    fqn_method_prefix = "__et_training_fqn_"
+    training_metadata = {}
+    for name, method in methods.items():
+        found_grad = False
+        found_param = False
+        fqns = []
+        i = 0
+        for output_spec in method.graph_signature.output_specs:
+            if output_spec.kind == OutputKind.GRADIENT_TO_PARAMETER:
+                if not found_grad:
+                    training_metadata[gradients_method_prefix + name] = i
+                    found_grad = True
+                fqns.append(output_spec.target)
+            elif output_spec.kind == OutputKind.TOKEN and not found_param:
+                assert found_grad  # Params must come after gradients
+                training_metadata[parameters_method_prefix + name] = i
+                found_param = True
+            i += 1
+            if len(fqns) > 0:
+                training_metadata[fqn_method_prefix + name] = fqns
+    return training_metadata
+
+
 def emit_program(
     methods: Union[ExportedProgram, Dict[str, ExportedProgram]],
     emit_stacktrace: bool = False,
@@ -140,6 +172,10 @@ def emit_program(
             emitter.instr_id_to_delegate_debug_id_map
         )
 
+    training_metadata = _get_training_metadata(methods)
+    if len(training_metadata) > 0:
+        plans.extend(emitter._emit_prim_getters(training_metadata))
+
     # emit any primitive getters
     if prim_getters is not None:
         plans.extend(emitter._emit_prim_getters(prim_getters))
@@ -156,5 +192,11 @@ def emit_program(
             segments=[],
             # Subsegment offsets may be added at serialization time.
             constant_segment=SubsegmentOffsets(segment_index=0, offsets=[]),
+            mutable_data_segments=None,  # Will be filled in during serialization
+        ),
+        mutable_data=(
+            program_state.mutable_buffer
+            if len(program_state.mutable_buffer) > 1
+            else None
         ),
     )
diff --git a/exir/emit/_emitter.py b/exir/emit/_emitter.py
index 1023279f19..dea9cf6fd6 100644
--- a/exir/emit/_emitter.py
+++ b/exir/emit/_emitter.py
@@ -79,6 +79,7 @@
     TensorShapeDynamism,
 )
 from executorch.exir.tensor import (
+    AddressSpaceOverflowException,
     layout_enum,
     make_allocation_info,
     make_tensor_value,
@@ -110,8 +111,11 @@ class _ProgramState:
     # emitted graph modules, not any weights emitted from itself. This should speed up the lookup,
     # from O(N) to O(1)
     cached_spec_hash_values: Dict[str, int] = field(default_factory=dict)
+    cached_spec_mutable_hash_values: Dict[str, int] = field(default_factory=dict)
     # The 0 index is reserved to be pointed to by non-constant tensors, so add an empty placeholder.
     constant_buffer: List[Buffer] = field(default_factory=lambda: [Buffer(storage=b"")])
+    # The 0 index is reserved to be pointed to by non-constant tensors, so add an empty placeholder.
+    mutable_buffer: List[Buffer] = field(default_factory=lambda: [Buffer(storage=b"")])
     # Delegate data stored directly in the flatbuffer. Pointed to by BackendDelegateDataReference,
     # and should be copied to Program.backend_delegate_data.
     backend_delegate_data: List[BackendDelegateInlineData] = field(default_factory=list)
@@ -326,68 +330,96 @@ def _emit_list(self, val: List[_Argument], val_type: _SchemaType) -> EValue:
 
     def _tensor_spec_to_evalue(self, spec: TensorSpec) -> EValue:
         """Constructs an EValue from the given TensorSpec."""
-        if not spec.const:
-            if spec.mem_id is not None:
-                # Tensor is an activation.
-                self._internal_assert_emitter(
-                    isinstance(spec.mem_id, int) and spec.mem_id >= 0,
-                    self.node,
-                    "Non-const tensor should be an activation tensor",
-                )
 
-                self._internal_assert_emitter(
-                    isinstance(spec.mem_offset, int) and spec.mem_offset >= 0,
-                    self.node,
-                    "Non-const tensor should be an activation tensor",
-                )
-                allocation_info = make_allocation_info(spec.mem_id, spec.mem_offset)
-            else:
-                # Tensor is an input/placeholder.
-                allocation_info = None
+        allocation_info = None
+        buffer_idx = 0
 
-            # For non-constant tensors, constant_buffer = 0.
-            return EValue(make_tensor_value(0, allocation_info, spec))
+        # Need to memory plan
+        # Some users set mem_id on all tensors and then rely on the
+        # default algos to set offsets, so need to check both.
+        if spec.mem_id is not None and spec.mem_offset is not None:
+            # Tensor is an activation.
+            self._internal_assert_emitter(
+                isinstance(spec.mem_id, int) and spec.mem_id >= 0,
+                self.node,
+                f"Non-const tensor should be an activation tensor: mem_id {spec.mem_id}",
+            )
 
-        # Constant tensor. Reserve a buffer for the constant tensor.
-        spec_array_type = (
-            ctypes.c_char * typing.cast(torch.UntypedStorage, spec.storage).nbytes()
-        )
+            self._internal_assert_emitter(
+                isinstance(spec.mem_offset, int) and spec.mem_offset >= 0,
+                self.node,
+                f"Non-const tensor should be an activation tensor: mem_offset {spec.mem_offset}",
+            )
+            try:
+                allocation_info = make_allocation_info(spec.mem_id, spec.mem_offset)
+            except AddressSpaceOverflowException as e:
+                raise InternalError(
+                    self._emit_node_specific_error(
+                        self.node,
+                        (
+                            f"{e}\nHint: If you are using a memory pass based on dynamic shape bounds, "
+                            f"such as ConstraintBasedSymShapeEvalPass, this may be the cause of an "
+                            f"unbacked SymInt with its upper bound lazily set to 2^64-1 (uint64 max) "
+                            "during torch.export()."
+                        ),
+                    )
+                )
 
-        buffer_data = (
-            bytes(
-                ctypes.cast(
-                    typing.cast(torch.UntypedStorage, spec.storage).data_ptr(),
-                    ctypes.POINTER(spec_array_type),
-                ).contents
+        if spec.const:
+            # Tensor with a blob we need to serialize. May not actually be constant at runtime
+            # if it's a weight with an associated gradient
+            spec_array_type = (
+                ctypes.c_char * typing.cast(torch.UntypedStorage, spec.storage).nbytes()
             )
-            if spec.allocated_memory != 0
-            else b""
-        )
 
-        hashed = hashlib.sha256(buffer_data).hexdigest()
+            buffer_data = (
+                bytes(
+                    ctypes.cast(
+                        typing.cast(torch.UntypedStorage, spec.storage).data_ptr(),
+                        ctypes.POINTER(spec_array_type),
+                    ).contents
+                )
+                if spec.allocated_memory != 0
+                else b""
+            )
 
-        buffer_idx = self.program_state.cached_spec_hash_values.get(hashed, -1)
+            hashed = hashlib.sha256(buffer_data).hexdigest()
 
-        # Haven't seen this constant before
-        if buffer_idx == -1:
-            # Update buffer_idx to point to the end of the list where we are adding the new buffer.
-            buffer = Buffer(storage=buffer_data)
-            buffer_idx = len(self.program_state.constant_buffer)
-            self.program_state.allocated_specs.append(spec)
-            # +1 because the first buffer location is reserved
-            self.program_state.cached_spec_hash_values[hashed] = buffer_idx
-            self.program_state.constant_buffer.append(buffer)
+            if allocation_info:
+                buffer_idx = self.program_state.cached_spec_mutable_hash_values.get(
+                    hashed, -1
+                )
+            else:
+                buffer_idx = self.program_state.cached_spec_hash_values.get(hashed, -1)
+
+            # Haven't seen this constant before
+            if buffer_idx == -1:
+                # Update buffer_idx to point to the end of the list where we are adding the new buffer.
+                buffer = Buffer(storage=buffer_data)
+                self.program_state.allocated_specs.append(spec)
+                # +1 because the first buffer location is reserved
+
+                if allocation_info:
+                    buffer_idx = len(self.program_state.mutable_buffer)
+                    self.program_state.cached_spec_mutable_hash_values[hashed] = (
+                        buffer_idx
+                    )
+                    self.program_state.mutable_buffer.append(buffer)
+                else:
+                    buffer_idx = len(self.program_state.constant_buffer)
+                    self.program_state.cached_spec_hash_values[hashed] = buffer_idx
+                    self.program_state.constant_buffer.append(buffer)
 
-        if spec.const and spec.nbytes() != len(buffer_data):
-            raise InternalError(
-                self._emit_node_specific_error(
-                    self.node,
-                    f"Tensor spec has buffer of size {len(buffer_data)}, but expected nbytes of {spec.nbytes()}",
+            if spec.const and spec.nbytes() != len(buffer_data):
+                raise InternalError(
+                    self._emit_node_specific_error(
+                        self.node,
+                        f"Tensor spec has buffer of size {len(buffer_data)}, but expected nbytes of {spec.nbytes()}",
+                    )
                 )
-            )
 
         # For constant tensors, allocation_info = None.
-        return EValue(make_tensor_value(buffer_idx, None, spec))
+        return EValue(make_tensor_value(buffer_idx, allocation_info, spec))
 
     def _get_list_tuple_jit_type(
         self, val: Union[Tuple[_Argument], List[_Argument]]
@@ -770,7 +802,7 @@ def forward(self, x,y):
         # Increment iter_idx to mark that we have completed an iteration.
         op_index, op = self._get_operator(
             name="executorch_prim::add",
-            overload="int",
+            overload="Scalar",
         )
         kernel = Instruction(
             KernelCall(
@@ -787,7 +819,7 @@ def forward(self, x,y):
         # section.
         op_index, op = self._get_operator(
             name="executorch_prim::eq",
-            overload="int",
+            overload="Scalar",
         )
         kernel = Instruction(
             KernelCall(
@@ -809,7 +841,7 @@ def forward(self, x,y):
         # Reset iter_idx in case we plan to run the model again.
         op_index, op = self._get_operator(
             name="executorch_prim::sub",
-            overload="int",
+            overload="Scalar",
         )
         kernel = Instruction(
             KernelCall(
@@ -1090,7 +1122,7 @@ def _get_empty_tensor_evalue() -> EValue:
                     dim_order=[],
                     requires_grad=False,
                     layout=0,
-                    constant_buffer_idx=0,
+                    data_buffer_idx=0,
                     allocation_info=None,
                     shape_dynamism=TensorShapeDynamism.STATIC,
                 )
@@ -1252,7 +1284,7 @@ def _emit_prim_getters(self, prim_getters: Dict[str, Any]) -> List[ExecutionPlan
 
     def fetch_attr(self, target: _Target) -> _AbstractValue:
         """Fetch weights and other module parameters. If the attribute is a tensor, emit it."""
-        attr = super().fetch_attr(target)
+        attr = super().fetch_attr(target)  # pyre-fixme[6]
 
         if isinstance(attr, torch.Tensor):
             return self._emit_evalue(
@@ -1268,7 +1300,7 @@ def fetch_attr(self, target: _Target) -> _AbstractValue:
         else:
             return attr
 
-    def call_module(
+    def call_module(  # pyre-fixme[14]
         self, target: _Target, args: Tuple[_Argument, ...], kwargs: Dict[str, _Argument]
     ) -> None:
         """Unsupported in execution IR, so unhandled by the emitter."""
@@ -1276,7 +1308,7 @@ def call_module(
             self._emit_node_specific_error(self.node, "call_module is not supported")
         )
 
-    def call_method(
+    def call_method(  # pyre-fixme[14]
         self, target: _Target, args: Tuple[_Argument, ...], kwargs: Dict[str, _Argument]
     ) -> _EmitterValue:
         """Unsupported in execution IR, so unhandled by the emitter."""
@@ -1284,7 +1316,7 @@ def call_method(
             self._emit_node_specific_error(self.node, "call_method is not supported")
         )
 
-    def placeholder(
+    def placeholder(  # pyre-fixme[14]
         self, target: _Target, args: Tuple[_Argument, ...], kwargs: Dict[str, _Argument]
     ) -> _AbstractValue:
         """Performs actions for the placeholder node of a graph module.
@@ -1306,7 +1338,7 @@ def placeholder(
         self.placeholder_count += 1
         return value
 
-    def output(
+    def output(  # pyre-fixme[14]
         self, target: _Target, args: Tuple[_Argument, ...], kwargs: Dict[str, _Argument]
     ) -> None:
         """Performs actions for the output node of a graph module.
@@ -1336,7 +1368,7 @@ def output(
                     )
                     self.chain.instructions.append(instruction)
 
-    def call_function(
+    def call_function(  # pyre-fixme[14]
         self, target: _Target, args: Tuple[_Argument, ...], kwargs: Dict[str, _Argument]
     ) -> _EmitterValue:
         """Performs actions for the call_function node of a graph module.
@@ -1394,7 +1426,7 @@ def call_function(
                 )
             )
 
-    def run(
+    def run(  # pyre-fixme[14]
         self,
         *args: _Argument,
         initial_env: Optional[Dict[torch.fx.Node, _Argument]] = None,
@@ -1509,7 +1541,6 @@ def placeholder(
         is_user_input = True
 
         if isinstance(target, str) and isinstance(spec, TensorSpec):
-
             fqn, is_mutable_buffer = self._find_fqn_for_placeholder(target, spec)
 
             # From the fqn find the corresponding tensor
diff --git a/exir/emit/test/test_emit.py b/exir/emit/test/test_emit.py
index d6d6a8b809..2feeefc4ef 100644
--- a/exir/emit/test/test_emit.py
+++ b/exir/emit/test/test_emit.py
@@ -23,6 +23,7 @@
     ExecutorchProgramManager,
     to_edge,
 )
+from executorch.exir._serialize._program import deserialize_pte_binary
 from executorch.exir.backend.backend_api import to_backend
 from executorch.exir.backend.backend_details import BackendDetails, PreprocessResult
 from executorch.exir.dialects._ops import ops as exir_ops
@@ -35,6 +36,7 @@
 from executorch.exir.schema import (
     Bool,
     DelegateCall,
+    Double,
     EValue,
     ExecutionPlan,
     Int,
@@ -109,7 +111,7 @@ def check_tensor_buffer_loc(
         value = typing.cast(schema.Tensor, values[value_index].val)
         self.assertIsInstance(value, schema.Tensor)
 
-        self.assertEqual(value.constant_buffer_idx, exp_buffer_idx)
+        self.assertEqual(value.data_buffer_idx, exp_buffer_idx)
 
         if not value.allocation_info:
             self.assertIsNone(exp_mem_id)
@@ -722,6 +724,43 @@ def map_fn(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
             "executorch_prim::sub",
         )
 
+    def test_load_emit_map(self) -> None:
+        class Foo(torch.nn.Module):
+            def forward(self, x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
+                def map_fn(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
+                    return x + y
+
+                return control_flow.map(map_fn, x, y)
+
+        f = Foo()
+
+        inputs = (torch.ones(4, 4), torch.ones(4))
+        module = to_edge(
+            export(f, inputs),
+            compile_config=exir.EdgeCompileConfig(_check_ir_validity=False),
+        )
+        _load_for_executorch_from_buffer(module.to_executorch().buffer)
+
+    def test_run_emit_map(self) -> None:
+        class Foo(torch.nn.Module):
+            def forward(self, x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
+                def map_fn(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
+                    return x + y
+
+                return control_flow.map(map_fn, x, y)
+
+        f = Foo()
+
+        inputs = (torch.ones(4, 4), torch.ones(4))
+        module = to_edge(
+            export(f, inputs),
+            compile_config=exir.EdgeCompileConfig(_check_ir_validity=False),
+        )
+        buffer = module.to_executorch().buffer
+        loaded_model = _load_for_executorch_from_buffer(buffer)
+        outputs = loaded_model(inputs)[0]
+        torch.allclose(outputs, f(*inputs))
+
     def test_dim_order(self) -> None:
         class SimpleLinear(torch.nn.Module):
             def __init__(self) -> None:
@@ -810,7 +849,7 @@ def forward(self, x: torch.Tensor) -> torch.Tensor:
             < non_const_buffer_size_without_const_prop_pass[1]
         )
 
-    # cant compare plans directly with __eq__ because of the plan names, and constant_buffer_idx in tensor values
+    # cant compare plans directly with __eq__ because of the plan names, and data_buffer_idx in tensor values
     def _compare_execution_plans(
         self, plan_single: ExecutionPlan, plan_merged: ExecutionPlan
     ) -> None:
@@ -1106,7 +1145,6 @@ def forward(self, k: torch.Tensor) -> torch.Tensor:
         config = exir.ExecutorchBackendConfig(
             sym_shape_eval_pass=ConstraintBasedSymShapeEvalPass(),
             memory_planning_pass=MemoryPlanningPass(
-                memory_planning_algo="greedy",
                 # allow_lifetime_and_storage_overlap: bool = False,
                 alloc_graph_input=True,
                 alloc_graph_output=False,
@@ -1567,9 +1605,7 @@ def forward(self, x):
         )
         model = model.to_executorch(
             config=ExecutorchBackendConfig(
-                memory_planning_pass=MemoryPlanningPass(
-                    "greedy", alloc_graph_input=False
-                ),
+                memory_planning_pass=MemoryPlanningPass(alloc_graph_input=False),
                 sym_shape_eval_pass=ConstraintBasedSymShapeEvalPass(),
             )
         )
@@ -1583,3 +1619,53 @@ def forward(self, x):
         executorch_module = _load_for_executorch_from_buffer(model.buffer)
         self.assertEqual(executorch_module(torch.zeros(1))[0], torch.zeros(1))
         self.assertEqual(executorch_module(torch.zeros(1))[0], torch.zeros(1) + 1)
+
+    def test_infinity_in_model(self) -> None:
+        class InfinityMaskModel(nn.Module):
+            def __init__(self):
+                super().__init__()
+                self.mask = torch.tensor([[1, 0], [0, 1]], dtype=torch.float32)
+
+            def forward(self, x):
+                masked_weights = x.masked_fill(self.mask == 0, float("-inf"))
+                return masked_weights
+
+        model = to_edge(
+            export(
+                InfinityMaskModel(),
+                (torch.randn(2, 2),),
+            )
+        )
+
+        # Confirm that we can serialize the model with infinity in it.
+        model = model.to_executorch()
+
+        # Assert that the infinity is stored as a string "-inf".
+        values = model.executorch_program.execution_plan[0].values
+        self.assertEqual(values[5].val, Double(double_val=float("-inf")))
+
+        # Confirm that we can also deserialize the model with infinity in it.
+        pte_data = deserialize_pte_binary(model.buffer)
+        self.assertEqual(
+            pte_data.execution_plan, model.executorch_program.execution_plan
+        )
+
+    def test_mutate_input_tensor(self) -> None:
+        class MutateInputTensorModule(torch.nn.Module):
+            def __init__(self):
+                super().__init__()
+
+            def forward(self, x):
+                x.add_(1)
+
+        model = to_edge(
+            export(MutateInputTensorModule(), (torch.zeros(1),))
+        ).to_executorch(
+            config=ExecutorchBackendConfig(
+                memory_planning_pass=MemoryPlanningPass(alloc_graph_input=False)
+            )
+        )
+        executorch_model = _load_for_executorch_from_buffer(model.buffer)
+        input = torch.zeros(1)
+        executorch_model(input)
+        self.assertEqual(input, torch.ones(1))
diff --git a/exir/lowered_backend_module.py b/exir/lowered_backend_module.py
index 54d7380203..bc42bba9a2 100644
--- a/exir/lowered_backend_module.py
+++ b/exir/lowered_backend_module.py
@@ -8,7 +8,8 @@
 
 import copy
 import operator
-from typing import Any, Dict, List, Optional, Tuple, Union
+from collections import defaultdict
+from typing import Any, Dict, List, Optional, Set, Tuple, Union
 
 import torch
 import torch.utils._pytree as pytree
@@ -136,10 +137,10 @@ def original_module(self) -> ExportedProgram:
     def buffer(
         self,
         extract_delegate_segments: bool = False,
-        segment_alignment: int = 4096,
+        segment_alignment: int = 128,
         constant_tensor_alignment: Optional[int] = None,
         delegate_alignment: Optional[int] = None,
-        memory_planning: MemoryPlanningPass = None,
+        memory_planning: MemoryPlanningPass = None,  # pyre-fixme[9]
     ) -> bytes:
         """
         Returns a buffer containing the serialized ExecuTorch binary.
@@ -161,7 +162,7 @@ def buffer(
     def program(
         self,
         emit_stacktrace: bool = False,
-        memory_planning: MemoryPlanningPass = None,
+        memory_planning: MemoryPlanningPass = None,  # pyre-fixme[9]
     ) -> Program:
         # Fix autodpes introuces cyclic dependencies:
         # program -> verifier -> lowered_backend_module -> program
@@ -325,7 +326,7 @@ def program(
             verifiers=[lowered_exported_program.verifier],
         )
         if memory_planning is None:
-            memory_planning = MemoryPlanningPass("greedy")
+            memory_planning = MemoryPlanningPass()
         exported_program = _transform(exported_program, SpecPropPass(), memory_planning)
         emitted_program = emit_program(
             exported_program, emit_stacktrace=emit_stacktrace
@@ -432,46 +433,71 @@ def arrange_graph_placeholders(
 def _get_new_signature(  # noqa: C901
     original_program: ExportedProgram,
     gm: torch.fx.GraphModule,
-    tag: Optional[str] = None,
+    call_module_node: torch.fx.Node,
+    tag: str,
+    is_submodule: bool = False,
 ) -> Tuple[
     ExportGraphSignature,
     Dict[str, Union[torch.Tensor, torch.nn.Parameter]],
     Dict[str, Union[torch.Tensor, FakeScriptObject, torch.ScriptObject]],
+    Dict[str, InputSpec],
+    Dict[str, OutputSpec],
 ]:
     """
     Args:
-        tag: If tag is None, this means that we are constructing the graph
-        signature for the toplevel graph, after delegation. We need to do this
-        because sometimes delegates will swallow some parameters/buffers, so we
-        need to update the graph signature/state dict to reflect these changes.
-        Otherwise, if tag is not None, this means we are constructing the graph
-        signature for the delegated modules. In this case, we need to look
-        through the input nodes and see which ones were originally
-        parameters/buffers, and lower them down to the delegate.
-    """
+        original_program: The original program that we are paritioning
+        gm: The partitioned graph module.
+        call_module_node: The node in the original program that is calling the
+            partitioned graph module.
+        tag: The tag being used for this partitioned submodule. This is used to
+            tell if a particular parameter/buffer/constant node is being tagged,
+            aka consumed by the delegate.
+        is_submodule: True if we are currently partitioning inside of a
+            submodule (like cond's submodule). If we are inside of a submodule,
+            we do not care about consuming params/buffers.
 
+    Returns:
+
+        new_signature (ExportGraphSignature): The new signature for the
+            partitioned graph module.
+        new_state_dict (Dict[str, Union[torch.Tensor, torch.nn.Parameter]]): The
+            new state dict containing the consumed params/buffers.
+        new_constants (Dict[str, Union[torch.Tensor, FakeScriptObject,
+            torch.ScriptObject]]): The new constants table containing the
+            consumed constants .
+        input_specs_to_delete (Dict[str, InputSpec]): The input specs that have
+            been consumed by the delegate (param/buffer input nodes) and should
+            be removed from the toplevel ExportedProgram.
+        output_specs_to_delete (Dict[str, InputSpec]): The output specs that have
+            been consumed by the delegate (buffer mutation nodes) and should be
+            removed from the toplevel ExportedProgram.
+    """
     old_signature = original_program.graph_signature
 
     input_specs = []
     output_specs = []
-    new_signature = ExportGraphSignature(
-        input_specs=input_specs, output_specs=output_specs
-    )
+    input_specs_to_delete = {}
+    output_specs_to_delete = {}
     new_state_dict = {}
     new_constants = {}
 
-    placeholder_nodes = [
-        node.name for node in original_program.graph.nodes if node.op == "placeholder"
-    ]
-    assert len(placeholder_nodes) == len(old_signature.input_specs)
-    input_node_to_sig = dict(zip(placeholder_nodes, old_signature.input_specs))
+    # If we are within a submodule, we do not need to care about consuming
+    # parameter/buffers
+    input_node_to_sig: Dict[str, InputSpec] = (
+        {input_spec.arg.name: input_spec for input_spec in old_signature.input_specs}
+        if not is_submodule
+        else {}
+    )
+
+    toplevel_output_node_to_sig: Dict[str, List[OutputSpec]] = defaultdict(list)
+    if not is_submodule:
+        for output_spec in old_signature.output_specs:
+            toplevel_output_node_to_sig[output_spec.arg.name].append(output_spec)
 
     for node in gm.graph.nodes:
-        is_tagged = tag is None or node.meta.get("delegation_tag", None) == tag
         if node.op == "placeholder":
 
             if node.name not in input_node_to_sig:
-                assert tag is not None
                 input_specs.append(
                     InputSpec(
                         kind=InputKind.USER_INPUT,
@@ -486,32 +512,39 @@ def _get_new_signature(  # noqa: C901
             if not isinstance(orig_input_spec.arg, TensorArgument):
                 input_specs.append(orig_input_spec)
 
-            elif is_tagged:
+            elif node.meta.get("delegation_tag", None) == tag:
                 input_specs.append(orig_input_spec)
 
-                if orig_input_spec.kind == InputKind.PARAMETER:
-                    new_state_dict[orig_input_spec.target] = (
-                        original_program.state_dict[orig_input_spec.target]
-                    )
-                elif (
-                    orig_input_spec.kind == InputKind.BUFFER
-                    and orig_input_spec.persistent
-                ):
-                    new_state_dict[orig_input_spec.target] = (
-                        original_program.state_dict[orig_input_spec.target]
+                if orig_input_spec.kind == InputKind.USER_INPUT:
+                    continue
+
+                # The following input specs are all attributes that should be
+                # consumed by the delegate, so we want to remove it from the
+                # toplevel module input/output
+                input_specs_to_delete[node.name] = orig_input_spec
+
+                input_target = orig_input_spec.target
+                if input_target in original_program.state_dict:
+                    assert orig_input_spec.kind in (
+                        InputKind.PARAMETER,
+                        InputKind.BUFFER,
                     )
-                elif orig_input_spec.kind == InputKind.BUFFER:
-                    assert not orig_input_spec.persistent
-                    new_constants[orig_input_spec.target] = original_program.constants[
-                        orig_input_spec.target
+
+                    new_state_dict[input_target] = original_program.state_dict[
+                        input_target
                     ]
-                elif orig_input_spec.kind in (
-                    InputKind.CONSTANT_TENSOR,
-                    InputKind.CUSTOM_OBJ,
-                ):
-                    new_constants[orig_input_spec.target] = original_program.constants[
-                        orig_input_spec.target
+                elif input_target in original_program.constants:
+                    assert orig_input_spec.kind in (
+                        InputKind.CONSTANT_TENSOR,
+                        InputKind.CUSTOM_OBJ,
+                        InputKind.BUFFER,
+                    )
+
+                    new_constants[input_target] = original_program.constants[
+                        input_target
                     ]
+                else:
+                    raise RuntimeError(f"Invalid input spec {orig_input_spec} received")
 
             else:
                 input_specs.append(
@@ -523,21 +556,62 @@ def _get_new_signature(  # noqa: C901
                 )
 
         if node.op == "output":
-            output_nodes = pytree.tree_leaves((node.args, node.kwargs))
-
-            if tag is not None:
-                # We are constructing output_specs for the delegate outputs.
-                # These don't have any buffer mutations.
+            buffer_mutation_idxs: Dict[int, List[OutputSpec]] = defaultdict(list)
+            for user in call_module_node.users.keys():
+                if user.name in toplevel_output_node_to_sig:
+                    assert (
+                        user.op == "call_function" and user.target == operator.getitem
+                    ), f"Invalid user {user}, node.op is {user.op} and node.target is {user.target}"
+                    getitem_idx = user.args[1]
+                    assert isinstance(
+                        getitem_idx, int
+                    ), f"Invalid getitem type: {type(getitem_idx)}"
+                    buffer_mutation_idxs[getitem_idx].extend(
+                        toplevel_output_node_to_sig[user.name]
+                    )
 
-                for output_node in output_nodes:
-                    if not isinstance(output_node, torch.fx.Node):
+            for i, output_node in enumerate(node.args[0]):
+                if i in buffer_mutation_idxs:
+                    assert isinstance(output_node, torch.fx.Node)
+                    orig_output_specs = buffer_mutation_idxs[i]
+
+                    if any(
+                        orig_output_spec.kind == OutputKind.BUFFER_MUTATION
+                        and orig_output_spec.target in new_state_dict
+                        for orig_output_spec in orig_output_specs
+                    ):
+                        # If the delegate wants to consume the buffer, then the
+                        # delegate should also consume the buffer mutation
+                        # (output spec would be a BUFFER_MUTATION).  Otherwise
+                        # the delegate will just return the result of the
+                        # mutation as a USER_OUTPUT.
+
+                        orig_output_spec = [
+                            orig_output_spec
+                            for orig_output_spec in orig_output_specs
+                            if orig_output_spec.kind == OutputKind.BUFFER_MUTATION
+                            and orig_output_spec.target in new_state_dict
+                        ][0]
+
+                        assert len(orig_output_specs) == 1, (
+                            f"Constant {orig_output_spec.target} was tagged to be "
+                            "consumed by the buffer, and was found to also contain "
+                            "a buffer mutation. However this buffer mutation node "
+                            "was found to also be used as other types of outputs "
+                            "which is currently not supported. Please file an "
+                            "issue on Github. \n\n"
+                            f"The toplevel program: {original_program}\n"
+                        )
                         output_specs.append(
                             OutputSpec(
-                                kind=OutputKind.USER_OUTPUT,
-                                arg=ConstantArgument(name="", value=output_node),
-                                target=None,
+                                kind=OutputKind.BUFFER_MUTATION,
+                                arg=TensorArgument(name=output_node.name),
+                                target=orig_output_spec.target,
                             )
                         )
+                        output_specs_to_delete[orig_output_spec.arg.name] = (
+                            orig_output_spec
+                        )
                     else:
                         output_specs.append(
                             OutputSpec(
@@ -547,38 +621,44 @@ def _get_new_signature(  # noqa: C901
                             )
                         )
 
-            else:
-                # We are reconstruting the toplevel module which contains
-                # delegates. Delegation should not change the number of outputs
-                # in the toplevel module, and it does not touch the mutated buffers
-
-                assert len(old_signature.output_specs) == len(output_nodes)
-                for prev_output_spec, output_node in zip(
-                    old_signature.output_specs, output_nodes
-                ):
-                    if not isinstance(output_node, torch.fx.Node):
-                        assert isinstance(prev_output_spec.arg, ConstantArgument)
-                        output_specs.append(
-                            OutputSpec(
-                                kind=OutputKind.USER_OUTPUT,
-                                arg=ConstantArgument(name="", value=output_node),
-                                target=None,
-                            )
+                elif not isinstance(output_node, torch.fx.Node):
+                    output_specs.append(
+                        OutputSpec(
+                            kind=OutputKind.USER_OUTPUT,
+                            arg=ConstantArgument(name="", value=output_node),
+                            target=None,
                         )
+                    )
 
-                    else:
-                        new_output_spec = copy.deepcopy(prev_output_spec)
-                        new_output_spec.arg.name = output_node.name
-                        output_specs.append(new_output_spec)
+                else:
+                    output_specs.append(
+                        OutputSpec(
+                            kind=OutputKind.USER_OUTPUT,
+                            arg=TensorArgument(name=output_node.name),
+                            target=None,
+                        )
+                    )
 
-    return new_signature, new_state_dict, new_constants
+    new_signature = ExportGraphSignature(
+        input_specs=input_specs, output_specs=output_specs
+    )
+
+    return (
+        new_signature,
+        new_state_dict,
+        new_constants,
+        input_specs_to_delete,
+        output_specs_to_delete,
+    )
 
 
 def create_exported_program_from_submodule(
     submodule: torch.fx.GraphModule,
     owning_program: ExportedProgram,
     tag: str,
-) -> ExportedProgram:
+    call_module_node: torch.fx.Node,
+    is_submodule: bool,
+) -> Tuple[ExportedProgram, Dict[str, InputSpec], Dict[str, OutputSpec]]:
     """
     Creates an ExportedProgram from the given submodule using the parameters and buffers
     from the top-level owning program
@@ -590,34 +670,52 @@ def create_exported_program_from_submodule(
 
     Returns:
         The ExportedProgram created from submodule
+        input_specs_to_delete (Dict[str, InputSpec]): The input specs that have
+            been consumed by the delegate (param/buffer input nodes) and should
+            be removed from the toplevel ExportedProgram.
+        output_specs_to_delete (Dict[str, InputSpec]): The output specs that have
+            been consumed by the delegate (buffer mutation nodes) and should be
+            removed from the toplevel ExportedProgram.
     """
     # Arrange the submodule's placeholders in order
     submodule = arrange_graph_placeholders(submodule, owning_program)
 
+    # TODO: we probably need to arrange the outputs wrt buffer mutations.
+
     # Get updated graph signature
-    subgraph_signature, subgraph_state_dict, subgraph_constants = _get_new_signature(
-        owning_program, submodule, tag
+    (
+        subgraph_signature,
+        subgraph_state_dict,
+        subgraph_constants,
+        toplevel_input_specs_to_delete,
+        toplevel_output_specs_to_delete,
+    ) = _get_new_signature(
+        owning_program, submodule, call_module_node, tag, is_submodule
     )
 
     in_spec = pytree.tree_flatten((tuple(subgraph_signature.user_inputs), {}))[1]
     out_spec = pytree.tree_flatten(subgraph_signature.user_outputs)[1]
 
-    return ExportedProgram(
-        root=submodule,
-        graph=submodule.graph,
-        graph_signature=subgraph_signature,
-        state_dict=subgraph_state_dict,
-        range_constraints=copy.deepcopy(owning_program.range_constraints),
-        module_call_graph=[
-            ModuleCallEntry(
-                "",
-                ModuleCallSignature(
-                    inputs=[], outputs=[], in_spec=in_spec, out_spec=out_spec
-                ),
-            )
-        ],
-        constants=subgraph_constants,
-        verifiers=[owning_program.verifier],
+    return (
+        ExportedProgram(
+            root=submodule,
+            graph=submodule.graph,
+            graph_signature=subgraph_signature,
+            state_dict=subgraph_state_dict,
+            range_constraints=copy.deepcopy(owning_program.range_constraints),
+            module_call_graph=[
+                ModuleCallEntry(
+                    "",
+                    ModuleCallSignature(
+                        inputs=[], outputs=[], in_spec=in_spec, out_spec=out_spec
+                    ),
+                )
+            ],
+            constants=subgraph_constants,
+            verifiers=[owning_program.verifier],
+        ),
+        toplevel_input_specs_to_delete,
+        toplevel_output_specs_to_delete,
     )
 
 
@@ -740,3 +838,108 @@ def get_lowered_backend_modules(
             lowered_programs.append(lowered_backend_module)
 
     return lowered_programs
+
+
+def _unsafe_adjust_original_program(  # noqa: C901
+    original_program: ExportedProgram,
+    call_delegate_node: torch.fx.Node,
+    input_specs_to_delete: Dict[str, InputSpec],
+    output_specs_to_delete: Dict[str, OutputSpec],
+) -> None:
+    """
+    Directly modify the original exported program's signature and state dict
+    based on the consumed params/buffers in the delegate.
+    """
+    original_program._graph_signature.input_specs = [
+        input_spec
+        for input_spec in original_program.graph_signature.input_specs
+        if input_spec.arg.name not in input_specs_to_delete
+    ]
+
+    currently_used_targets: Set[str] = {
+        input_spec.target
+        for input_spec in original_program._graph_signature.input_specs
+        if input_spec.target is not None
+    }
+
+    original_program._graph_signature.output_specs = [
+        output_spec
+        for output_spec in original_program.graph_signature.output_specs
+        if output_spec.arg.name not in output_specs_to_delete
+    ]
+
+    # Delete all parameters/buffers consumed by the created exported program
+    # from the graph signature, state dict, constants table
+    for node in original_program.graph.nodes:
+        if node.op == "placeholder":
+            if node.name in input_specs_to_delete:
+                assert len(node.users) == 0
+                original_program.graph.erase_node(node)
+        else:
+            break
+
+    for input_spec in input_specs_to_delete.values():
+        input_target = input_spec.target
+        assert input_target is not None
+
+        if input_target in currently_used_targets:
+            continue
+
+        if input_spec.kind == InputKind.PARAMETER:
+            del original_program._state_dict[input_target]
+        elif input_spec.kind == InputKind.BUFFER:
+            if input_spec.persistent:
+                del original_program._state_dict[input_target]
+            else:
+                del original_program._constants[input_spec.target]
+        elif input_spec.kind == InputKind.CONSTANT_TENSOR:
+            del original_program._constants[input_spec.target]
+        else:
+            raise RuntimeError(f"Invalid input spec {input_spec} received")
+
+    # Delete buffer mutations from the output which were consumed by the delegate
+    toplevel_output_node = None
+    for node in reversed(original_program.graph.nodes):
+        if node.op == "output":
+            toplevel_output_node = node
+            break
+
+    assert toplevel_output_node is not None
+    assert (
+        len(toplevel_output_node.args) == 1
+    ), f"Invalid output node: {toplevel_output_node} with args {toplevel_output_node.args}"
+
+    new_output_args = [
+        arg
+        for arg in toplevel_output_node.args[0]
+        if not isinstance(arg, torch.fx.Node) or arg.name not in output_specs_to_delete
+    ]
+    toplevel_output_node.args = (tuple(new_output_args),)
+
+    # Delete the buffer mutation getitem nodes
+    getitem_idxs: List[int] = []
+    user_nodes = list(call_delegate_node.users.keys())
+    for user in user_nodes:
+        if user.name in output_specs_to_delete:
+            assert (
+                user.op == "call_function" and user.target == operator.getitem
+            ), f"Invalid user {user}, node.op is {node.op} and node.target is {node.target}"
+            user_idx = user.args[1]
+            assert isinstance(user_idx, int), f"Invalid getitem type: {type(user_idx)}"
+            getitem_idxs.append(user_idx)
+            original_program.graph.erase_node(user)
+
+    getitem_idxs.sort(reverse=True)
+
+    # Adjust all the getitem indices after the deleted getitems
+    user_nodes = list(call_delegate_node.users.keys())
+    for user in user_nodes:
+        assert user.op == "call_function" and user.target == operator.getitem
+        user_idx = user.args[1]
+        assert isinstance(user_idx, int)
+        for i, idx in enumerate(getitem_idxs):
+            if user_idx > idx:
+                user.args = (user.args[0], user_idx - (len(getitem_idxs) - i))
+                break
+
+    original_program._validate()
diff --git a/exir/memory_planning.py b/exir/memory_planning.py
index 9e722f48d5..3c28639ba1 100644
--- a/exir/memory_planning.py
+++ b/exir/memory_planning.py
@@ -18,12 +18,7 @@
 from executorch.exir import memory
 from executorch.exir.control_flow import while_loop as exir_while
 from executorch.exir.delegate import executorch_call_delegate
-from executorch.exir.error import (
-    ExportError,
-    ExportErrorType,
-    internal_assert,
-    InternalError,
-)
+from executorch.exir.error import internal_assert, InternalError
 from executorch.exir.operator.convert import is_inplace_variant, is_out_variant
 from executorch.exir.schema import TensorShapeDynamism
 from executorch.exir.tensor import TensorSpec
@@ -255,17 +250,6 @@ def verify_graph_input_output(self) -> None:
             ), f"Misallocate graph output {graph_output_allocated} v.s. {self.alloc_graph_output}"
 
 
-def register_algo(fn: Callable[..., List[int]]) -> Callable[..., List[int]]:
-    algo_name = fn.__name__
-    if algo_name in REGISTERED_ALGOS:
-        raise ExportError(
-            ExportErrorType.VIOLATION_OF_SPEC,
-            f"Re-registering memory planning algorithm {algo_name}",
-        )
-    REGISTERED_ALGOS[algo_name] = fn
-    return fn
-
-
 def _is_out_var_node(node: torch.fx.Node) -> bool:
     return (
         node.op == "call_function"
@@ -427,7 +411,11 @@ def collect_specs_from_nodes(  # noqa: C901
                 continue
             if ignore_graph_output and spec in graph_output_tensors:
                 continue
-            if ignore_const and spec.const:
+            if (
+                ignore_const
+                and spec.const
+                and not node.meta.get("weight_has_gradient", False)
+            ):
                 continue
             if dedup:
                 if spec in unique_spec:
@@ -557,7 +545,6 @@ def get_node_tensor_specs(
         ]
 
 
-@register_algo
 def greedy(
     graph_module: torch.fx.GraphModule,
     alignment: int,
@@ -611,7 +598,6 @@ def greedy(
     return total_sizes
 
 
-@register_algo
 def naive(
     graph_module: torch.fx.GraphModule,
     alignment: int,
@@ -652,15 +638,6 @@ def _allocate_buf(bufsizes: List[int], mem_id: int, allocated: int) -> int:
     return bufsizes
 
 
-def get_algo(algo_name: str) -> Callable[..., List[int]]:
-    if algo_name not in REGISTERED_ALGOS:
-        raise ExportError(
-            ExportErrorType.NOT_SUPPORTED,
-            f"Memory planning algorithm '{algo_name}' not found",
-        )
-    return REGISTERED_ALGOS[algo_name]
-
-
 def get_cond_nodes(graph_module: torch.fx.GraphModule) -> Iterable[Node]:
     for nd in graph_module.graph.nodes:
         if nd.target is torch.ops.higher_order.cond:
@@ -768,7 +745,9 @@ def apply_algo(
     )
     insert_calls_to_free(graph_module, specs)
 
-    def handle_submodule(submodule_nd: torch.fx.Node) -> None:
+    def handle_submodule(
+        submodule_nd: torch.fx.Node, alloc_graph_input: bool = False
+    ) -> None:
         nonlocal bufsizes
         assert submodule_nd.op == "get_attr"
         submodule = getattr(graph_module, submodule_nd.target)
@@ -780,7 +759,7 @@ def handle_submodule(submodule_nd: torch.fx.Node) -> None:
             submodule,
             alignment,
             graph_signature,
-            alloc_graph_input=False,
+            alloc_graph_input=alloc_graph_input,
             alloc_graph_output=True,
         )
         submodule.meta.update({"non_const_buffer_sizes": bufsizes})
@@ -795,7 +774,9 @@ def handle_submodule(submodule_nd: torch.fx.Node) -> None:
     # TODO: Add test coverage for map operator once dynamo tracing is
     # fully supported for this. T142287208
     for map_node in get_map_nodes(graph_module):
-        handle_submodule(typing.cast(torch.fx.Node, map_node.args[0]))
+        handle_submodule(
+            typing.cast(torch.fx.Node, map_node.args[0]), alloc_graph_input=True
+        )
 
     graph_module.meta.update({"non_const_buffer_sizes": bufsizes})
 
diff --git a/exir/pass_base.py b/exir/pass_base.py
index dd55641f25..3b1a2928e2 100644
--- a/exir/pass_base.py
+++ b/exir/pass_base.py
@@ -177,7 +177,7 @@ def __init__(self, callback: "_ExportPassBase", codegen: CodeGen) -> None:
             self.fake_tensor_mode: Optional[FakeTensorMode] = None
             self.submodules: Dict[torch.nn.Module, str] = {}
 
-        def trace(self) -> None:
+        def trace(self) -> None:  # pyre-fixme[14,15]
             raise ExportPassBaseError("ExportTracer doesn't support trace().")
 
         def create_arg(self, a: Argument) -> torch.fx.Node:
@@ -290,7 +290,7 @@ def __init__(self, callback: "_ExportPassBase", gm: fx.GraphModule) -> None:
             self.callback = callback
             self.node: torch.fx.Node = next(iter(gm.graph.nodes))
 
-        def placeholder(
+        def placeholder(  # pyre-fixme[14]
             self,
             target: str,
             args: Tuple[Argument, ...],
@@ -351,7 +351,7 @@ def call_function(
             else:
                 raise ExportPassBaseError(f"Unsupported target type: {target}")
 
-        def get_attr(
+        def get_attr(  # pyre-fixme[14]
             self, target: str, args: Tuple[Argument, ...], kwargs: Dict[str, Argument]
         ) -> Argument:
             return super().get_attr(target, args, kwargs)
@@ -364,7 +364,7 @@ def call_module(
         ) -> None:
             raise ExportPassBaseError("call_module is not supported.")
 
-        def call_method(
+        def call_method(  # pyre-fixme[14]
             self, target: str, args: Tuple[Argument, ...], kwargs: Dict[str, Argument]
         ) -> None:
             raise ExportPassBaseError("call_method is not supported.")
diff --git a/exir/passes/TARGETS b/exir/passes/TARGETS
index 7dcde950b9..eeb1e5265b 100644
--- a/exir/passes/TARGETS
+++ b/exir/passes/TARGETS
@@ -25,6 +25,7 @@ python_library(
         ":spec_prop_pass",
         ":sym_shape_eval_pass",
         ":sym_to_tensor_pass",
+        ":weights_to_outputs_pass",
         "//caffe2:torch",
         "//executorch/exir:common",
         "//executorch/exir:control_flow",
@@ -62,6 +63,16 @@ python_library(
     ],
 )
 
+python_library(
+    name = "weights_to_outputs_pass",
+    srcs = [
+        "weights_to_outputs_pass.py",
+    ],
+    deps = [
+        "//caffe2:torch",
+    ],
+)
+
 python_library(
     name = "const_prop_pass",
     srcs = [
@@ -191,6 +202,7 @@ python_library(
     ],
     deps = [
         "//caffe2:torch",
+        "//executorch/exir:_warnings",
         "//executorch/exir:pass_base",
         "//executorch/exir:sym_util",
         "//executorch/exir:tensor",
diff --git a/exir/passes/__init__.py b/exir/passes/__init__.py
index 594de3f79a..7a0623040f 100644
--- a/exir/passes/__init__.py
+++ b/exir/passes/__init__.py
@@ -54,6 +54,7 @@
 from executorch.exir.passes.spec_prop_pass import SpecPropPass
 from executorch.exir.passes.sym_shape_eval_pass import HintBasedSymShapeEvalPass
 from executorch.exir.passes.sym_to_tensor_pass import SymToTensorPass
+from executorch.exir.passes.weights_to_outputs_pass import weights_to_outputs_pass
 from torch import fx
 from torch._subclasses import FakeTensor
 from torch.fx.passes.infra.pass_base import PassBase, PassResult
@@ -69,6 +70,7 @@
     "MemoryPlanningPass",
     "HintBasedSymShapeEvalPass",
     "insert_write_back_for_buffers_pass",
+    "weights_to_outputs_pass",
 ]
 
 Argument = Optional[
@@ -300,6 +302,7 @@ def make_alloc_node(
                     "Memory allocator node needs FakeTensor val or TensorMetadata to proceed"
                 )
 
+    # pyre-fixme[6]
     alloc = graph_module.graph.call_function(memory.alloc, (alloc_spec,))
     alloc.meta["val"] = val
     alloc.meta["tensor_meta"] = tensor_meta
diff --git a/exir/passes/_quant_patterns_and_replacements.py b/exir/passes/_quant_patterns_and_replacements.py
index a7fd75a350..88d082b87d 100644
--- a/exir/passes/_quant_patterns_and_replacements.py
+++ b/exir/passes/_quant_patterns_and_replacements.py
@@ -15,7 +15,7 @@
 )
 from torch import fx
 from torch.ao.quantization.fx._decomposed import quantized_decomposed_lib
-from torch.library import impl, impl_abstract
+from torch.library import impl, register_fake
 
 
 __all__ = [
@@ -103,7 +103,7 @@ def embedding_byte(
     return torch.ops.aten.embedding.default(weight, indices)
 
 
-@impl_abstract("quantized_decomposed::embedding_byte.out")
+@register_fake("quantized_decomposed::embedding_byte.out")
 def embedding_byte_out_meta(
     weight: torch.Tensor,
     weight_scales: torch.Tensor,
@@ -150,7 +150,7 @@ def embedding_byte_dtype(
     return torch.ops.aten.embedding.default(weight, indices)
 
 
-@impl_abstract("quantized_decomposed::embedding_byte.dtype_out")
+@register_fake("quantized_decomposed::embedding_byte.dtype_out")
 def embedding_byte_dtype_out_meta(
     weight: torch.Tensor,
     weight_scales: torch.Tensor,
@@ -225,7 +225,7 @@ def embedding_4bit(
     return torch.ops.aten.embedding.default(weight, indices)
 
 
-@impl_abstract("quantized_decomposed::embedding_4bit.out")
+@register_fake("quantized_decomposed::embedding_4bit.out")
 def embedding_4bit_out_meta(
     weight: torch.Tensor,
     weight_scales: torch.Tensor,
@@ -278,7 +278,7 @@ def embedding_4bit_dtype(
     return torch.ops.aten.embedding.default(weight, indices)
 
 
-@impl_abstract("quantized_decomposed::embedding_4bit.dtype_out")
+@register_fake("quantized_decomposed::embedding_4bit.dtype_out")
 def embedding_4bit_dtype_out_meta(
     weight: torch.Tensor,
     weight_scales: torch.Tensor,
diff --git a/exir/passes/dim_order_ops_registry.py b/exir/passes/dim_order_ops_registry.py
index 7fed005b3c..27fc03f941 100644
--- a/exir/passes/dim_order_ops_registry.py
+++ b/exir/passes/dim_order_ops_registry.py
@@ -45,3 +45,15 @@ def _to_dim_order_copy_out_impl(*args, **kwargs):
 DimOrderOpsMap = {
     "aten._to_copy.default": exir_ops.edge.dim_order_ops._to_dim_order_copy.default,
 }
+
+"""
+Defines a map of aten or edge ops to the corresponding memory format ops for quick lookup
+"""
+MemoryFormatOpsMap = {
+    "dim_order_ops._to_dim_order_copy.default": exir_ops.edge.aten._to_copy.default,
+}
+
+# If we are replacing an aten op with a dim_order op, we must have a 1:1 mapping through these dicts.
+assert len(DimOrderOpsMap) == len(MemoryFormatOpsMap)
+
+# TODO stricter check for 1:1 mapping
diff --git a/exir/passes/executorch_prim_ops_registry.py b/exir/passes/executorch_prim_ops_registry.py
index 5159f630fe..6362a47112 100644
--- a/exir/passes/executorch_prim_ops_registry.py
+++ b/exir/passes/executorch_prim_ops_registry.py
@@ -86,6 +86,11 @@ def mod(a: SymInt, b: SymInt) -> SymInt:
     return SymInt(int(a) % int(b))
 
 
+@bind_pattern_to_op(executorch_prims_lib, "neg.Scalar(Scalar a) -> Scalar")
+def neg(a: _SymScalar) -> _SymScalar:
+    return -a  # pyre-ignore
+
+
 _PYTHON_SYM_OPS_TO_EXECUTORCH_SYM_OPS: Dict[OpOverload, OpOverload] = {
     operator.sub: ops.backend.executorch_prim.sub.Scalar,
     operator.mul: ops.backend.executorch_prim.mul.Scalar,
@@ -98,6 +103,7 @@ def mod(a: SymInt, b: SymInt) -> SymInt:
     operator.ge: ops.backend.executorch_prim.ge.Scalar,
     operator.le: ops.backend.executorch_prim.le.Scalar,
     operator.mod: ops.backend.executorch_prim.mod.Scalar,
+    operator.neg: ops.backend.executorch_prim.neg.Scalar,
     torch.sym_float: ops.backend.executorch_prim.sym_float.Scalar,
 }
 
diff --git a/exir/passes/insert_write_back_for_buffers_pass.py b/exir/passes/insert_write_back_for_buffers_pass.py
index 7aef357191..1ddbf98e7e 100644
--- a/exir/passes/insert_write_back_for_buffers_pass.py
+++ b/exir/passes/insert_write_back_for_buffers_pass.py
@@ -15,6 +15,7 @@
     OutputKind,
     OutputSpec,
 )
+from torch.export.graph_signature import TensorArgument
 from torch.utils import _pytree as pytree
 
 
@@ -73,20 +74,21 @@ def insert_write_back_for_buffers_pass(
     ep: ExportedProgram,
 ) -> Tuple[torch.fx.GraphModule, ExportGraphSignature]:
     gm: torch.fx.GraphModule = ep.graph_module
-    lifted_inputs: List[Optional[str]] = [
-        (
-            in_spec.target
-            if in_spec.kind
-            in (
-                InputKind.BUFFER,
-                InputKind.CONSTANT_TENSOR,
-                InputKind.PARAMETER,
-                InputKind.CUSTOM_OBJ,
-            )
-            else None
-        )
-        for in_spec in ep.graph_signature.input_specs
-    ]
+    lifted_inputs: List[Optional[str]] = []
+    for in_spec in ep.graph_signature.input_specs:
+        if in_spec.kind in (
+            InputKind.BUFFER,
+            InputKind.CONSTANT_TENSOR,
+            InputKind.PARAMETER,
+            InputKind.CUSTOM_OBJ,
+        ):
+            lifted_inputs.append(in_spec.target)
+        elif in_spec.kind is InputKind.USER_INPUT and isinstance(
+            in_spec.arg, TensorArgument
+        ):
+            lifted_inputs.append(in_spec.arg.name)
+        else:
+            lifted_inputs.append(None)
 
     input_name_to_node: Dict[str, torch.fx.Node] = {}
 
@@ -101,7 +103,8 @@ def insert_write_back_for_buffers_pass(
     mutated_outputs: List[Optional[str]] = [
         (
             out_spec.target
-            if out_spec.kind in (OutputKind.BUFFER_MUTATION,)
+            if out_spec.kind
+            in (OutputKind.BUFFER_MUTATION, OutputKind.USER_INPUT_MUTATION)
             and out_spec.arg.name
             not in {
                 val.name for val in input_name_to_node.values()
@@ -121,7 +124,10 @@ def insert_write_back_for_buffers_pass(
     new_output_specs: List[OutputSpec] = []
     i = 0
     for output_spec in ep.graph_signature.output_specs:
-        if output_spec.kind == OutputKind.BUFFER_MUTATION:
+        if output_spec.kind in (
+            OutputKind.BUFFER_MUTATION,
+            OutputKind.USER_INPUT_MUTATION,
+        ):
             output_spec.arg.name = buffer_output_nodes[i].name
             i += 1
         new_output_specs.append(output_spec)
diff --git a/exir/passes/memory_format_ops_pass.py b/exir/passes/memory_format_ops_pass.py
index 5a3c0f3a91..32678bf408 100644
--- a/exir/passes/memory_format_ops_pass.py
+++ b/exir/passes/memory_format_ops_pass.py
@@ -9,13 +9,19 @@
 
 import torch
 from executorch.exir.dialects.edge._ops import EdgeOpOverload
-from executorch.exir.dim_order_utils import get_dim_order
+from executorch.exir.dim_order_utils import get_dim_order, get_memory_format
 from executorch.exir.pass_base import ExportPass, ProxyValue
-from executorch.exir.passes.dim_order_ops_registry import DimOrderOpsMap
+from executorch.exir.passes.dim_order_ops_registry import (
+    DimOrderOpsMap,
+    MemoryFormatOpsMap,
+)
 
 logger = logging.getLogger(__file__)
 logger.setLevel(logging.INFO)
 
+# TODO - these passes are too specialized on a single to_copy op.
+# We should be able to replace (or revert) any of the dim_order ops in the future.
+
 
 class MemoryFormatOpsPass(ExportPass):
     """
@@ -53,7 +59,55 @@ def call_operator(self, op, args, kwargs, meta):
             f" _to_dim_order_copy = dim_order: {nkwargs['dim_order']}"
         )
 
-        t = DimOrderOpsMap[op.__name__]
+        t = DimOrderOpsMap.get(op.__name__, None)
+        assert t is not None, f"{op.__name__} not found in DimOrderOpsMap"
+
+        return super().call_operator(
+            t,
+            args,
+            nkwargs,
+            meta,
+        )
+
+
+class DimOrderOpsRevertPass(ExportPass):
+    """
+    This pass is to revert the dim_order ops back to the memory format ops.
+    """
+
+    def call_operator(self, op, args, kwargs, meta):
+        if not (isinstance(op, EdgeOpOverload) and op.__name__ in MemoryFormatOpsMap):
+            return super().call_operator(
+                op,
+                args,
+                kwargs,
+                meta,
+            )
+
+        # new kwargs with dim_order, and no memory_format for the new op
+        nkwargs = dict(copy.deepcopy(kwargs))  # orig kwargs are immutable
+
+        # can always get the shape, assuming rank is specialized
+        if isinstance(args[0], ProxyValue) and args[0].is_tensor():
+            ndim = args[0].to_tensor().dim()
+        elif isinstance(args[0], torch.Tensor):
+            ndim = args[0].dim()
+        else:
+            assert 0, f"Expecting a Tensor or a ProxyValue buy got {type(args[0])}"
+
+        # get the "to" memory format for the EdgeOp
+        default_dim_order = list(range(ndim))
+        dim_order = nkwargs.pop("dim_order", default_dim_order)
+
+        nkwargs["memory_format"] = get_memory_format(dim_order)
+
+        logger.debug(
+            f" _to_dim_order_copy = dim_order: {dim_order}."
+            f"_to_copy = rank: {ndim}, memory_format: {nkwargs['memory_format']}."
+        )
+
+        t = MemoryFormatOpsMap.get(op.__name__, None)
+        assert t is not None, f"{op.__name__} not found in MemoryFormatOpsMap"
 
         return super().call_operator(
             t,
diff --git a/exir/passes/memory_planning_pass.py b/exir/passes/memory_planning_pass.py
index 9295cabcab..112b8f5fc5 100644
--- a/exir/passes/memory_planning_pass.py
+++ b/exir/passes/memory_planning_pass.py
@@ -6,7 +6,7 @@
 
 import logging
 import warnings
-from typing import Optional
+from typing import Callable, List, Optional
 
 import torch
 from executorch.exir.error import internal_assert
@@ -14,8 +14,8 @@
 from executorch.exir.memory_planning import (
     _is_out_var_node,
     apply_algo,
-    get_algo,
     get_node_tensor_specs,
+    greedy,
     Verifier,
 )
 from executorch.exir.operator.convert import get_out_args_from_opoverload
@@ -27,7 +27,7 @@
 class MemoryPlanningPass(PassBase):
     def __init__(
         self,
-        memory_planning_algo: str = "greedy",
+        memory_planning_algo: Callable[..., List[int]] = greedy,
         allow_lifetime_and_storage_overlap: bool = False,
         alloc_graph_input: bool = True,
         alloc_graph_output: bool = True,
@@ -96,14 +96,13 @@ def run(
         memory_planning_algo
         """
         self._set_alloc_node_spec(graph_module)
-        algo = get_algo(self.memory_planning_algo)
         # TODO(shunting) if people have concern of adding a field to GraphModule
         # directly, we should define a GraphModule subclass that we can add our
         # customized fields. Using the graph_module object to convey information across
         # passes/stages is quite natural and avoid yet another 'context' data structure
         # to do the job.
         _ = apply_algo(
-            algo,
+            self.memory_planning_algo,
             graph_module,
             self.alignment,
             graph_signature,
@@ -125,7 +124,7 @@ def run(
                 self.allow_lifetime_and_storage_overlap
             )
             logging.debug(
-                f"The {self.memory_planning_algo} algorithm reuses storage for {num_reuse_pairs} pair of tensors"
+                f"The {getattr(self.memory_planning_algo, '__name__', repr(self.memory_planning_algo))} algorithm reuses storage for {num_reuse_pairs} pair of tensors"
             )
         verifier.verify_graph_input_output()
         return PassResult(graph_module, True)
diff --git a/exir/passes/remove_mixed_type_operators.py b/exir/passes/remove_mixed_type_operators.py
index 93d6689ae1..701a8269f1 100644
--- a/exir/passes/remove_mixed_type_operators.py
+++ b/exir/passes/remove_mixed_type_operators.py
@@ -23,6 +23,7 @@ def call_operator(self, op, args, kwargs, meta: NodeMetadata):  # noqa: C901
         promotion_type_allow_list = {
             torch.ops.aten.add.Tensor: ELEMENTWISE_TYPE_PROMOTION_KIND.DEFAULT,
             torch.ops.aten.mul.Tensor: ELEMENTWISE_TYPE_PROMOTION_KIND.DEFAULT,
+            torch.ops.aten.div.Tensor: ELEMENTWISE_TYPE_PROMOTION_KIND.DEFAULT,
             torch.ops.aten.minimum.default: ELEMENTWISE_TYPE_PROMOTION_KIND.DEFAULT,
         }
 
diff --git a/exir/passes/remove_noop_pass.py b/exir/passes/remove_noop_pass.py
index c834ca9294..d9b9955663 100644
--- a/exir/passes/remove_noop_pass.py
+++ b/exir/passes/remove_noop_pass.py
@@ -40,7 +40,7 @@ def eliminate_dq_q(
                 qparams_q = list(user.args)[1:]
                 if qparams_dq != qparams_q:
                     continue
-                user.replace_all_uses_with(node.args[0])
+                user.replace_all_uses_with(node.args[0])  # pyre-fixme[6]
 
 
 class RemoveNoopPass(ExportPass):
diff --git a/exir/passes/replace_aten_with_edge_pass.py b/exir/passes/replace_aten_with_edge_pass.py
index 28732a55fb..bf949fc995 100644
--- a/exir/passes/replace_aten_with_edge_pass.py
+++ b/exir/passes/replace_aten_with_edge_pass.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import torch
 from executorch.exir.dialects._ops import ops
 from executorch.exir.dialects.edge._ops import EdgeOpOverload
diff --git a/exir/passes/sym_shape_eval_pass.py b/exir/passes/sym_shape_eval_pass.py
index f4d11ed814..4ba554c6a1 100644
--- a/exir/passes/sym_shape_eval_pass.py
+++ b/exir/passes/sym_shape_eval_pass.py
@@ -10,6 +10,8 @@
 
 import torch
 import torch.utils._pytree as pytree
+
+from executorch.exir._warnings import deprecated
 from executorch.exir.dialects._ops import ops as exir_ops
 from executorch.exir.pass_base import PassBase, PassResult
 from executorch.exir.sym_util import eval_expr, eval_shape, eval_upper_bound
@@ -164,8 +166,21 @@ def index_Tensor(args, kwargs) -> List[Optional[int]]:  # noqa: C901
     return out_sizes
 
 
+@deprecated(
+    "`HintBasedSymShapeEvalPass` is deprecated "
+    "and will be removed in a future version of ExecuTorch. "
+    "Please use `ConstraintBasedSymShapeEvalPass` instead.",
+    category=FutureWarning,
+)
 class HintBasedSymShapeEvalPass(PassBase):
     """
+
+    .. warning::
+
+        'HintBasedSymShapeEvalPass` is deprecated
+        and will be removed in a future version of ExecuTorch.
+        Please use `ConstraintBasedSymShapeEvalPass` instead.
+
     If we enable dynamic shape tracing, a tensor's shape may become a symbolic
     formula. We should convert those symbolic formula to concrete value for
     static/upperbound tensors so we can properly do memory planning for them.
@@ -181,7 +196,7 @@ class HintBasedSymShapeEvalPass(PassBase):
 
     Warning: if you're using torch.export with constrain API, this method doesn't respect the input constraints.
 
-    Not inherit from ExportPass since we simply need a way to iterate thru
+    Not inherited from ExportPass since we simply need a way to iterate thru
     every node's output. PassBase is easier for that purpose.
     """
 
@@ -245,7 +260,7 @@ class ConstraintBasedSymShapeEvalPass(PassBase):
     formula. We should convert those symbolic formula to concrete value for
     static/upperbound tensors so we can properly do memory planning for them.
 
-    Not inherit from ExportPass since we simply need a way to iterate thru
+    Not inherited from ExportPass since we simply need a way to iterate through
     every node's output. PassBase is easier for that purpose.
     """
 
diff --git a/exir/passes/weights_to_outputs_pass.py b/exir/passes/weights_to_outputs_pass.py
new file mode 100644
index 0000000000..aaf0c0eb5d
--- /dev/null
+++ b/exir/passes/weights_to_outputs_pass.py
@@ -0,0 +1,93 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+
+from torch.export import ExportedProgram
+from torch.export.exported_program import OutputKind, OutputSpec, TensorArgument
+
+
+def weights_to_outputs_pass(
+    exported_program: ExportedProgram,
+) -> ExportedProgram:
+    """
+    This pass is for training graphs with gradients returned. It flags the weights as having a gradient attached,
+    and appends them to the outputs in order to make the weights easier to handle in memory planning and the emitter.
+
+    Args:
+        exported_program: The ExportedProgram to update.
+
+    Returns:
+        The modified ExportedProgram.
+    """
+    if (
+        len([node for node in exported_program.graph.nodes if node.op == "placeholder"])
+        == 0
+    ):
+        return exported_program
+
+    gs = exported_program.graph_signature
+    gm = exported_program.graph_module
+
+    # Check for/ get gradients
+    grad_targets = [
+        spec.target
+        for spec in gs.output_specs
+        if spec.kind == OutputKind.GRADIENT_TO_PARAMETER
+    ]
+
+    # If no gradients, return
+    if len(grad_targets) == 0:
+        return exported_program
+
+    inputs_to_params = gs.inputs_to_parameters
+
+    # Get output node
+    output_node = None
+    for node in gm.graph.nodes:
+        if node.op == "output":
+            output_node = node
+            break
+    assert output_node is not None
+
+    # Get input nodes that are weights with an associated gradient
+    placeholder_nodes = [
+        node
+        for node in gm.graph.nodes
+        if node.op == "placeholder"
+        and node.target in inputs_to_params.keys()
+        and inputs_to_params[node.target] in grad_targets
+    ]
+
+    # Flag these placeholder nodes as having a gradient attached so that memory planning will operate on them.
+    for node in placeholder_nodes:
+        node.meta["weight_has_gradient"] = True
+
+    # add to output node
+    new_output_nodes = []
+    new_output_nodes.extend(output_node.args[0])
+    new_output_nodes.extend(placeholder_nodes)
+    # Remove old outputs
+    new_output = gm.graph.output(tuple(new_output_nodes))
+    output_node.replace_all_uses_with(new_output)
+    gm.graph.erase_node(output_node)
+
+    # add to output signature
+    for node in placeholder_nodes:
+        gs.output_specs.append(
+            OutputSpec(
+                OutputKind.TOKEN,  # This is a hack. We are returning the raw weights here to make it easier for memory
+                # planning and the emitter. There is no outputkind.Parameter so I am using TOKEN which is currently unused in Edge.
+                TensorArgument(node.target),
+                None,
+            )
+        )
+
+    # Cleanup the graph.
+    exported_program.graph.eliminate_dead_code()
+    exported_program.graph_module.recompile()
+
+    return exported_program
diff --git a/exir/print_program.py b/exir/print_program.py
index a4f9a51686..cf2daa2c2d 100644
--- a/exir/print_program.py
+++ b/exir/print_program.py
@@ -79,7 +79,7 @@ def _format_evalue(  # noqa: C901
     evstr = "\033[34m"
     if isinstance(evalue.val, Tensor):
         tensor = evalue.val
-        if tensor.constant_buffer_idx > 0:
+        if tensor.data_buffer_idx > 0:
             assert not _is_dynamic_shape_tensor(
                 tensor
             ), "A constant tensor can not be dynamic shape"
diff --git a/exir/program/TARGETS b/exir/program/TARGETS
index ef4e619e1e..fc73abf1ff 100644
--- a/exir/program/TARGETS
+++ b/exir/program/TARGETS
@@ -22,6 +22,7 @@ python_library(
         "//caffe2:torch",
         "//executorch/exir:error",
         "//executorch/exir:graph_module",
+        "//executorch/exir:pass_base",
         "//executorch/exir:pass_manager",
         "//executorch/exir:print_program",
         "//executorch/exir:schema",
@@ -40,6 +41,7 @@ python_library(
         "//executorch/exir/passes:replace_aten_with_edge_pass",
         "//executorch/exir/passes:replace_view_copy_with_view_pass",
         "//executorch/exir/passes:spec_prop_pass",
+        "//executorch/exir/passes:weights_to_outputs_pass",
         "//executorch/exir/verification:verifier",
     ],
 )
diff --git a/exir/program/__init__.py b/exir/program/__init__.py
index efc3ebfbe9..0b9d3e2070 100644
--- a/exir/program/__init__.py
+++ b/exir/program/__init__.py
@@ -9,13 +9,13 @@
 from executorch.exir.program._fake_program import get_fake_program
 from executorch.exir.program._program import (
     _to_edge,
-    _to_edge_transform_and_lower,
     edge_to_executorch_passes,
     EdgeProgramManager,
     ExecutorchProgram,
     ExecutorchProgramManager,
     ExirExportedProgram,
     to_edge,
+    to_edge_transform_and_lower,
 )
 
 __all__ = [
@@ -23,7 +23,7 @@
     "ExecutorchProgram",
     "_to_edge",
     "to_edge",
-    "_to_edge_transform_and_lower",
+    "to_edge_transform_and_lower",
     "edge_to_executorch_passes",
     "EdgeProgramManager",
     "ExecutorchProgramManager",
diff --git a/exir/program/_fake_program.py b/exir/program/_fake_program.py
index da1cee7c1a..18efc65b42 100644
--- a/exir/program/_fake_program.py
+++ b/exir/program/_fake_program.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 import copy
 from typing import Dict, Union
 
@@ -61,4 +63,5 @@ def update_to_real_program(
     """Update the fake exported program to point to the real state dict. Modifies the
     fake exported program in-place.
     """
-    fake_exported_program._state_dict = real_exported_program.state_dict
+    for k, v in real_exported_program.state_dict.items():
+        fake_exported_program._state_dict[k] = v
diff --git a/exir/program/_program.py b/exir/program/_program.py
index fd6253a8aa..144cd0d0e8 100644
--- a/exir/program/_program.py
+++ b/exir/program/_program.py
@@ -4,16 +4,18 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import copy
 import io
 import logging
-from typing import Any, Dict, List, Optional, Sequence, Set, TextIO, Union
+from typing import Any, Dict, List, Optional, Sequence, Set, TextIO, Tuple, Union
 
 import torch
 import torch._export
-
 from executorch.exir._serialize import _serialize_pte_binary
 from executorch.exir._serialize._cord import Cord
+from executorch.exir._warnings import experimental
 from executorch.exir.backend.backend_api import to_backend
 from executorch.exir.backend.partitioner import Partitioner
 from executorch.exir.capture._config import EdgeCompileConfig, ExecutorchBackendConfig
@@ -21,6 +23,7 @@
 from executorch.exir.emit._emitter import _DelegateDebugIdentifierMap
 from executorch.exir.error import ExportError
 from executorch.exir.graph_module import get_control_flow_submodules
+from executorch.exir.pass_base import PassBase
 from executorch.exir.pass_manager import PassType
 from executorch.exir.passes import (
     base_post_op_replace_passes,
@@ -43,6 +46,7 @@
     ReplaceViewCopyWithViewPass,
 )
 from executorch.exir.passes.spec_prop_pass import SpecPropPass
+from executorch.exir.passes.weights_to_outputs_pass import weights_to_outputs_pass
 from executorch.exir.print_program import pretty_print, print_program
 from executorch.exir.schema import Program
 from executorch.exir.tracer import _default_decomposition_table
@@ -436,7 +440,6 @@ def to_executorch(
             new_prog,
             emit_stacktrace=config.emit_stacktrace,
             extract_delegate_segments=config.extract_delegate_segments,
-            extract_constant_segment=config.extract_constant_segment,
             segment_alignment=config.segment_alignment,
             constant_tensor_alignment=config.constant_tensor_alignment,
             delegate_alignment=config.delegate_alignment,
@@ -465,7 +468,6 @@ def __init__(
         exir_exported_program: ExirExportedProgram,
         emit_stacktrace: bool,
         extract_delegate_segments: bool,
-        extract_constant_segment: bool,
         segment_alignment: int,
         constant_tensor_alignment: Optional[int] = None,
         delegate_alignment: Optional[int] = None,
@@ -480,7 +482,6 @@ def __init__(
         self._emitter_output: Optional[EmitterOutput] = None
         self._emit_stacktrace: bool = emit_stacktrace
         self._extract_delegate_segments: bool = extract_delegate_segments
-        self._extract_constant_segment: bool = extract_constant_segment
         self._segment_alignment: int = segment_alignment
         self._constant_tensor_alignment: Optional[int] = constant_tensor_alignment
         self._delegate_alignment: Optional[int] = delegate_alignment
@@ -490,7 +491,6 @@ def _get_pte_data(self) -> Cord:
             self._pte_data = _serialize_pte_binary(
                 program=self.program,
                 extract_delegate_segments=self._extract_delegate_segments,
-                extract_constant_segment=self._extract_constant_segment,
                 segment_alignment=self._segment_alignment,
                 constant_tensor_alignment=self._constant_tensor_alignment,
                 delegate_alignment=self._delegate_alignment,
@@ -574,6 +574,9 @@ def _to_edge(ep, config: EdgeCompileConfig) -> "ExirExportedProgram":
             EXIRATenDialectVerifier()(ep.exported_program.graph_module)
         except ExportError:
             logging.info(
+                "If a particular operator failed core ATen IR check, please consider adding it to the exception list. "
+                "Add the operator to _core_aten_ops_exception_list in EdgeCompileConfig. This is the recommended way "
+                "to resolve this type of failure, so that the rest of the IR validation check can still be performed.\n"
                 "If you'd like to disable IR validation checking, please set _check_ir_validity in EdgeCompileConfig, "
                 "like *.to_edge(exir.EdgeCompileConfig(_check_ir_validity=False))."
             )
@@ -591,7 +594,11 @@ def _to_edge(ep, config: EdgeCompileConfig) -> "ExirExportedProgram":
                 module_call_graph=ep.exported_program.module_call_graph,
                 example_inputs=ep.exported_program.example_inputs,
                 constants=ep.exported_program.constants,
-                verifiers=[get_aten_verifier(enable=config._check_ir_validity)],
+                verifiers=[
+                    get_aten_verifier(
+                        config=config,
+                    )
+                ],
             ),
             False,
         )
@@ -638,25 +645,48 @@ def _to_edge(ep, config: EdgeCompileConfig) -> "ExirExportedProgram":
     return new_ep
 
 
-def pre_memory_planning_passes(config: ExecutorchBackendConfig) -> List[PassType]:
+def pre_memory_planning_passes(
+    config: ExecutorchBackendConfig, name: Optional[str] = None
+) -> List[PassType]:
+    """
+    Returns a list of passes to run before memory planning.
+    Get the sym shape eval pass based on the method name, if the pass is not in the dict, use the default pass.
+    """
+    # Handle symbolic shape eval pass
+    if isinstance(config.sym_shape_eval_pass, dict):
+        default_pass = ExecutorchBackendConfig().sym_shape_eval_pass
+        if not name:
+            sym_shape_eval_pass = default_pass
+        # pyre-ignore: Undefined attribute [16]
+        sym_shape_eval_pass = config.sym_shape_eval_pass.get(name, default_pass)
+    elif isinstance(config.sym_shape_eval_pass, PassBase):
+        sym_shape_eval_pass = config.sym_shape_eval_pass
+    else:
+        raise RuntimeError(
+            f"sym_shape_eval_pass must be a dict or a PassBase, got {config.sym_shape_eval_pass}"
+        )
     if config.remove_view_copy:
-        # pyre-ignore
         return [
             NormalizeViewCopyBasePass(),
             dead_code_elimination_pass,
             ReplaceViewCopyWithViewPass(),
-            config.sym_shape_eval_pass,
+            sym_shape_eval_pass,
             config.to_out_var_pass,
         ]
     else:
-        # pyre-ignore
         return [
-            config.sym_shape_eval_pass,
+            sym_shape_eval_pass,
             config.to_out_var_pass,
         ]
 
 
-def edge_to_executorch_passes(config: ExecutorchBackendConfig) -> List[PassType]:
+def edge_to_executorch_passes(
+    config: ExecutorchBackendConfig, name: Optional[str] = None
+) -> List[PassType]:
+    """
+    Returns a list of passes to lower from edge to executorch.
+    Get the pre memory planning passes based on the method name, if the pass is not in the dict, use the default pass.
+    """
     passes: List[PassType] = [
         *config.passes,
         SpecPropPass(),
@@ -665,7 +695,7 @@ def edge_to_executorch_passes(config: ExecutorchBackendConfig) -> List[PassType]
         # there exists an unbacked symint operation.
         EdgeToBackendOpsPass(),
         RemoveGraphAssertsPass(),
-    ] + pre_memory_planning_passes(config)
+    ] + pre_memory_planning_passes(config, name)
 
     return passes
 
@@ -676,10 +706,13 @@ def _generate_edge_program(
     program: ExportedProgram,
     ops_set_to_not_decompose: Optional[List[torch._ops.OpOverload]] = None,
 ) -> ExportedProgram:
-
     if config._check_ir_validity:
         try:
-            EXIRATenDialectVerifier(ops_set_to_not_decompose)(program.graph_module)
+            EXIRATenDialectVerifier(
+                edge_compile_config=config,
+                class_only=False,
+                exception_list=ops_set_to_not_decompose,
+            )(program.graph_module)
         except ExportError as e:
             logging.info(f"Input program {name} is not in ATen dialect.")
             raise e
@@ -923,7 +956,7 @@ def _gen_edge_manager_for_partitioners(
     return edge_manager
 
 
-def _to_edge_transform_and_lower(
+def to_edge_transform_and_lower(
     programs: Union[ExportedProgram, Dict[str, ExportedProgram]],
     transform_passes: Optional[
         Union[Sequence[PassType], Dict[str, Sequence[PassType]]]
@@ -998,13 +1031,8 @@ def _to_edge_transform_and_lower(
                 edge_manager = edge_manager.to_backend({name: curr_partitioner})
 
     for name, program in edge_manager._edge_programs.items():
-        if config._check_ir_validity:
-            EXIREdgeDialectVerifier(
-                edge_compile_config=config,
-                class_only=True,
-            )()(program.graph_module)
 
-        ops_set_to_not_decompose = set()
+        ops_set_to_not_decompose: Set[torch._ops.OpOverload] = set()
         partitioners = partitioner.get(name, [])
         for curr_partitioner in partitioners:
             curr_op_set, check_op_support = curr_partitioner.ops_to_not_decompose(
@@ -1020,9 +1048,64 @@ def _to_edge_transform_and_lower(
                 generate_error=True,
             )
 
+        if config._check_ir_validity:
+            EXIREdgeDialectVerifier(
+                edge_compile_config=config,
+                class_only=True,
+                exception_list=list(ops_set_to_not_decompose),
+            )()(program.graph_module)
+
     return edge_manager
 
 
+@experimental(
+    """
+    This is an experimental API which overloads to_edge by preserving specified ops to not be decomposed. 
+    This function will be combined with to_edge in the future.
+    """
+)
+def to_edge_with_preserved_ops(
+    programs: Union[ExportedProgram, Dict[str, ExportedProgram]],
+    constant_methods: Optional[Dict[str, Any]] = None,
+    compile_config: Optional[EdgeCompileConfig] = None,
+    preserve_ops: Tuple[torch._ops.OpOverload, ...] = (),
+) -> "EdgeProgramManager":
+    """
+    :func:`to_edge` constructs an EdgeProgramManager from a set of exported programs in
+    ATen dialect. Upon construction those programs are transformed into edge dialect.
+
+    Args:
+        programs: Can be a single ExportedProgram or a dictionary mapping function names to their corresponding ExportedPrograms. If only a single ExportedProgram is provided it will be assigned the name "forward".
+        constant_methods: An optional dictionary of method name to the constant value returned by that method in eager mode. Often used to store config information on Edge models.
+        compile_config: An optional argument used to provide greater control over the transformation to edge dialect process.
+        preserve_ops: An argument used to specify ops that should not be decomposed.
+
+    Returns:
+        EdgeProgramManager
+    """
+    assert not isinstance(constant_methods, EdgeCompileConfig)
+    config = compile_config or EdgeCompileConfig()
+    if not isinstance(programs, dict):
+        aten_programs = {"forward": programs}
+    else:
+        aten_programs = programs
+
+    edge_programs: Dict[str, ExportedProgram] = {}
+
+    for name, program in aten_programs.items():
+        # Decompose to Core ATen
+        program = program.run_decompositions(
+            _default_decomposition_table(), _preserve_ops=preserve_ops
+        )
+        edge_programs[name] = _generate_edge_program(
+            name, config, program, list(preserve_ops)
+        )
+
+    return EdgeProgramManager(
+        edge_programs, constant_methods, config, list(preserve_ops)
+    )
+
+
 def to_edge(
     programs: Union[ExportedProgram, Dict[str, ExportedProgram]],
     constant_methods: Optional[Dict[str, Any]] = None,
@@ -1085,6 +1168,7 @@ def __init__(
         self.compile_config = compile_config or EdgeCompileConfig()
         if not isinstance(edge_programs, dict):
             edge_programs = {"forward": edge_programs}
+
         for name, program in edge_programs.items():
             try:
                 EXIREdgeDialectVerifier(
@@ -1197,7 +1281,7 @@ def to_backend(
                 if name in partitioner.keys():
                     new_edge_programs[name] = to_backend(program, partitioner[name])
                 else:
-                    new_edge_programs[name] = copy.deepcopy(program)
+                    new_edge_programs[name] = program
 
         else:  # apply partitioner to every method
             for name, program in self._edge_programs.items():
@@ -1227,10 +1311,11 @@ def to_executorch(
 
         execution_programs: Dict[str, ExportedProgram] = {}
         for name, program in self._edge_programs.items():
+            program = weights_to_outputs_pass(program)
             program = unsafe_remove_auto_functionalized_pass(program)
             gm, new_signature = insert_write_back_for_buffers_pass(program)
             new_gm = program.graph_module
-            for p in edge_to_executorch_passes(config):
+            for p in edge_to_executorch_passes(config, name):
                 new_gm_res = p(new_gm)
                 assert new_gm_res is not None
                 new_gm = new_gm_res.graph_module
@@ -1322,8 +1407,8 @@ def __init__(
         # Serialize emitter output, ready to be written to a file.
         self._pte_data: Cord = _serialize_pte_binary(
             program=self._emitter_output.program,
+            mutable_data=self._emitter_output.mutable_data,
             extract_delegate_segments=backend_config.extract_delegate_segments,
-            extract_constant_segment=backend_config.extract_constant_segment,
             segment_alignment=backend_config.segment_alignment,
             constant_tensor_alignment=backend_config.constant_tensor_alignment,
             delegate_alignment=backend_config.delegate_alignment,
diff --git a/exir/program/test/test_fake_program.py b/exir/program/test/test_fake_program.py
index 02718f2b7e..edccde43c2 100644
--- a/exir/program/test/test_fake_program.py
+++ b/exir/program/test/test_fake_program.py
@@ -4,6 +4,7 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
 
 import sys
 import unittest
@@ -73,4 +74,6 @@ def test_fake_program(self) -> None:
 
         update_to_real_program(fake_program, exported_program)
         self.assertEqual(exported_program.state_dict, fake_program.state_dict)
-        self.assertEqual(id(exported_program.state_dict), id(fake_program.state_dict))
+        self.assertEqual(
+            exported_program.state_dict.keys(), fake_program.state_dict.keys()
+        )
diff --git a/exir/program/test/test_program.py b/exir/program/test/test_program.py
index e3d2ca9b8c..73eea7b93e 100644
--- a/exir/program/test/test_program.py
+++ b/exir/program/test/test_program.py
@@ -22,10 +22,11 @@
 from executorch.exir.pass_base import ExportPass
 from executorch.exir.passes import MemoryPlanningPass
 from executorch.exir.program._program import (
-    _to_edge_transform_and_lower,
     EdgeProgramManager,
     ExecutorchProgramManager,
     to_edge,
+    to_edge_transform_and_lower,
+    to_edge_with_preserved_ops,
 )
 from executorch.exir.tracer import _default_decomposition_table
 from executorch.exir.verification.verifier import EXIREdgeDialectVerifier
@@ -249,12 +250,10 @@ def test_executorch_manager_multi_config(self):
         def get_executorch_memory_planning_passes() -> Dict[str, MemoryPlanningPass]:
             return {
                 "forward": MemoryPlanningPass(
-                    memory_planning_algo="greedy",
                     alloc_graph_input=True,
                     alloc_graph_output=False,
                 ),
                 "foo": MemoryPlanningPass(
-                    memory_planning_algo="greedy",
                     alloc_graph_input=False,
                     alloc_graph_output=True,
                 ),
@@ -531,11 +530,14 @@ def test_edge_manager_dialect(self):
         )
         self.assertTrue(edge_manager.exported_program().dialect == "EDGE")
 
-    def _test_edge_dialect_verifier(self, callable, validate_ir=True):
+    def _test_edge_dialect_verifier(
+        self, callable, validate_ir=True, exception_list=None
+    ):
         from executorch.exir import EdgeCompileConfig
 
         edge_compile_config = EdgeCompileConfig(
             _check_ir_validity=validate_ir,
+            _core_aten_ops_exception_list=exception_list,
         )
         # pre-autograd export. eventually this will become torch.export
         one = torch.ones(1, dtype=torch.float)
@@ -587,7 +589,7 @@ def get_num_nondecomposed_ops(self, ep, partitioner):
 
     def _test_model_with_non_decomp_partitioner(self, model: torch.nn.Module):
         # This is the pre-dispatch export that we will be switching to primarily
-        # in the near future. The input to _to_edge_transform_and_lower needs to
+        # in the near future. The input to to_edge_transform_and_lower needs to
         # be a graph generated by this pre dispatch export.
         ep = _export(model, model._get_random_inputs(), pre_dispatch=True)
         non_decomp_partitioner = NonDecompTestPartitioner()
@@ -597,7 +599,7 @@ def _test_model_with_non_decomp_partitioner(self, model: torch.nn.Module):
         )
 
         # run to_edge_trasnform_and_lower
-        edge = _to_edge_transform_and_lower(
+        edge = to_edge_transform_and_lower(
             ep,
             compile_config=EdgeCompileConfig(),
             partitioner=[NonDecompTestPartitioner()],
@@ -652,7 +654,7 @@ def _get_random_inputs(cls):
 
         model = TestLinear()
         ep = _export(model, model._get_random_inputs(), pre_dispatch=True)
-        edge = _to_edge_transform_and_lower(
+        edge = to_edge_transform_and_lower(
             ep,
             compile_config=EdgeCompileConfig(),
             partitioner=[NonDecompTestPartitioner()],
@@ -681,3 +683,121 @@ def count_nodes(graph_module, target):
             ),
             1,
         )
+
+    def test_edge_dialect_non_core_aten_ops(self):
+        class LinalgNorm(torch.nn.Module):
+            def __init__(self):
+                super().__init__()
+
+            def forward(self, x: torch.Tensor) -> torch.Tensor:
+                return torch.linalg.norm(x)
+
+        from torch._export.verifier import SpecViolationError
+
+        input = torch.arange(9, dtype=torch.float) - 4
+        ep = torch.export.export(LinalgNorm(), (input,))
+
+        # aten::linalg_norm is not a core op, so it should error out
+        with self.assertRaises(SpecViolationError):
+            _ = to_edge(ep, compile_config=EdgeCompileConfig(_check_ir_validity=True))
+
+        # with exception list, it should not error out
+        try:
+            # This should not raise error
+            _ = to_edge(
+                ep,
+                compile_config=EdgeCompileConfig(
+                    _check_ir_validity=True,
+                    _core_aten_ops_exception_list=[
+                        torch.ops.aten.linalg_vector_norm.default
+                    ],
+                ),
+            )
+        except SpecViolationError:
+            self.fail("Should not error out on linalg_vector_norm op")
+
+    def _test_to_edge_with_preserved_ops(
+        self, program, preserved_ops, expected_preserved_ops
+    ):
+        edge = to_edge_with_preserved_ops(program, preserve_ops=preserved_ops)
+
+        def count_nodes(graph_module, target):
+            count = 0
+            for node in graph_module.graph.nodes:
+                if node.op == "call_function" and node.target in target:
+                    count += 1
+            return count
+
+        aten_ops_non_decomposed = count_nodes(
+            program.graph_module,
+            preserved_ops,
+        )
+
+        edge_ops_non_decomposed = count_nodes(
+            edge.exported_program().graph_module,
+            expected_preserved_ops,
+        )
+
+        self.assertEqual(aten_ops_non_decomposed, edge_ops_non_decomposed)
+
+    def test_to_edge_with_single_preserved_op(self):
+        model = TestLinear()
+        program = torch.export.export(model, model._get_random_inputs())
+
+        ops_not_to_decompose = [
+            torch.ops.aten.linear.default,
+        ]
+        expected_non_decomposed_edge_ops = [
+            exir_ops.edge.aten.linear.default,
+        ]
+
+        self._test_to_edge_with_preserved_ops(
+            program, ops_not_to_decompose, expected_non_decomposed_edge_ops
+        )
+
+    def test_to_edge_with_partial_ops_preserved(self):
+        model = TestLinearSDPACombined()
+        program = torch.export.export(model, model._get_random_inputs())
+
+        ops_not_to_decompose = [
+            torch.ops.aten.linear.default,
+        ]
+        expected_non_decomposed_edge_ops = [
+            exir_ops.edge.aten.linear.default,
+        ]
+
+        self._test_to_edge_with_preserved_ops(
+            program, ops_not_to_decompose, expected_non_decomposed_edge_ops
+        )
+
+    def test_to_edge_with_multiple_ops_preserved(self):
+        model = TestLinearSDPACombined()
+        program = torch.export.export(model, model._get_random_inputs())
+
+        ops_not_to_decompose = [
+            torch.ops.aten.linear.default,
+            torch.ops.aten.scaled_dot_product_attention.default,
+        ]
+        expected_non_decomposed_edge_ops = [
+            exir_ops.edge.aten.linear.default,
+            exir_ops.edge.aten.scaled_dot_product_attention.default,
+        ]
+
+        self._test_to_edge_with_preserved_ops(
+            program, ops_not_to_decompose, expected_non_decomposed_edge_ops
+        )
+
+    def test_to_edge_with_preserved_ops_not_in_model(self):
+        model = TestSDPA()
+        program = torch.export.export(model, model._get_random_inputs())
+
+        ops_not_to_decompose = [
+            torch.ops.aten.linear.default,
+        ]
+        expected_non_decomposed_edge_ops = [
+            exir_ops.edge.aten.linear.default,
+        ]
+
+        self._test_to_edge_with_preserved_ops(
+            program, ops_not_to_decompose, expected_non_decomposed_edge_ops
+        )
diff --git a/exir/schema.py b/exir/schema.py
index 08b4822559..9436465459 100644
--- a/exir/schema.py
+++ b/exir/schema.py
@@ -51,7 +51,7 @@ class Tensor:
     dim_order: List[bytes]
     requires_grad: bool
     layout: int
-    constant_buffer_idx: int
+    data_buffer_idx: int
     allocation_info: Optional[AllocationDetails]
 
     # check schema.fbs for explanations
@@ -75,7 +75,23 @@ class Bool:
 
 @dataclass
 class Double:
-    double_val: float
+    double_val: Union[float, str]
+
+    def __init__(self, double_val: float) -> None:
+        if double_val == float("inf"):
+            self.double_val = "inf"
+        elif double_val == float("-inf"):
+            self.double_val = "-inf"
+        else:
+            self.double_val = double_val
+
+    def __post_init__(self) -> None:
+        if isinstance(self.double_val, str):
+            assert self.double_val in ["inf", "-inf"]
+        else:
+            assert isinstance(self.double_val, float)
+            assert not self.double_val == float("inf")
+            assert not self.double_val == float("-inf")
 
 
 @dataclass
@@ -265,3 +281,4 @@ class Program:
     backend_delegate_data: List[BackendDelegateInlineData]
     segments: List[DataSegment]
     constant_segment: SubsegmentOffsets
+    mutable_data_segments: Optional[List[SubsegmentOffsets]] = None
diff --git a/exir/serde/export_serialize.py b/exir/serde/export_serialize.py
index 9b2315c1aa..8ec864e489 100644
--- a/exir/serde/export_serialize.py
+++ b/exir/serde/export_serialize.py
@@ -51,6 +51,7 @@
 from torch.fx.experimental import symbolic_shapes
 from torch.utils import _pytree as pytree
 from torch.utils._pytree import treespec_dumps, treespec_loads
+from torch.utils._sympy.numbers import int_oo
 from torch.utils._sympy.value_ranges import ValueRanges
 
 # pyre-ignore
@@ -332,9 +333,9 @@ def deserialize_torch_artifact(
 
 def _sympy_int_to_int(val: sympy.Expr, adjust: str):
     # Convert simple sympy Integers into concrete int
-    if val == sympy.oo:
+    if val in (sympy.oo, int_oo):
         return math.inf
-    if val == -sympy.oo:
+    if val in (-sympy.oo, -int_oo):
         return -math.inf
     if isinstance(val, sympy.Integer):
         return int(val)
@@ -360,9 +361,9 @@ def _sympy_int_to_int(val: sympy.Expr, adjust: str):
 def _int_to_sympy_int(val) -> sympy.Expr:
     # Convert concrete int into simple sympy Integers
     if val == math.inf:
-        return sympy.oo
+        return int_oo
     if val == -math.inf:
-        return -sympy.oo
+        return -int_oo
     return sympy.Integer(val)
 
 
@@ -1473,6 +1474,12 @@ def deserialize_sym_int(self, s: SymInt) -> Union[int, torch.SymInt]:
 
             if val.expr_str in self.symbol_name_to_symbol:
                 sym = self.symbol_name_to_symbol[val.expr_str]
+                if (
+                    isinstance(sym, sympy.Symbol)
+                    and sym not in self.shape_env.var_to_val
+                ):
+                    if hint is not None:
+                        self.shape_env.add_var_to_val(sym, hint)
             else:
                 sym = sympy.sympify(val.expr_str, locals=self.symbol_name_to_symbol)
                 # NOTE(avik): Assumptions on symbols are not explicitly serialized.
diff --git a/exir/serde/serialize.py b/exir/serde/serialize.py
index d0212f5564..c25b9b3a77 100644
--- a/exir/serde/serialize.py
+++ b/exir/serde/serialize.py
@@ -342,6 +342,7 @@ def serialize(
             )
         else:
             example_inputs = b""
+
         return export_serialize._SerializedProgram(
             serialized_ep,
             export_serialize.serialize_torch_artifact(exported_program.state_dict),
diff --git a/exir/tensor.py b/exir/tensor.py
index 452bd6ab8a..d63ed5d262 100644
--- a/exir/tensor.py
+++ b/exir/tensor.py
@@ -22,6 +22,10 @@
 from executorch.exir.sym_util import eval_shape
 
 
+class AddressSpaceOverflowException(Exception):
+    pass
+
+
 def num_bytes_from_shape_and_dtype(shape: torch.Size, dtype: torch.dtype) -> int:
     """
     Assume the tensor is a contiguous one.
@@ -297,7 +301,9 @@ def make_allocation_info(mem_id: int, mem_offset: int) -> schema.AllocationDetai
     memory_offset_low = mem_offset & ((1 << 32) - 1)
     memory_offset_high = mem_offset >> 32
     if memory_offset_high >= 1 << 32:
-        raise ValueError(f"mem_offset {mem_offset} does not fit in 64 bits")
+        raise AddressSpaceOverflowException(
+            f"mem_offset {mem_offset} does not fit in 64 bits"
+        )
 
     allocation_info = schema.AllocationDetails(
         memory_id=mem_id,
@@ -308,7 +314,7 @@ def make_allocation_info(mem_id: int, mem_offset: int) -> schema.AllocationDetai
 
 
 def make_tensor_value(
-    constant_buffer_idx: int,
+    data_buffer_idx: int,
     allocation_info: Optional[schema.AllocationDetails],
     spec: TensorSpec,
 ) -> schema.Tensor:
@@ -326,11 +332,6 @@ def to_list(
         else:
             return x
 
-    internal_assert(
-        not spec.const or not allocation_info,
-        "We only create non-constant tensors as the constant tensors are directly written to buffer",
-    )
-
     tensor_size = to_list(spec.shape)
     tensor_dim_order = to_list(spec.dim_order)
 
@@ -341,7 +342,7 @@ def to_list(
         sizes=tensor_size,
         dim_order=tensor_dim_order,
         requires_grad=spec.requires_grad,
-        constant_buffer_idx=constant_buffer_idx,
+        data_buffer_idx=data_buffer_idx,
         allocation_info=allocation_info,
         layout=layout_enum(spec.layout),
         shape_dynamism=spec.shape_dynamism,
diff --git a/exir/tests/TARGETS b/exir/tests/TARGETS
index 1333036b24..666de4bda0 100644
--- a/exir/tests/TARGETS
+++ b/exir/tests/TARGETS
@@ -101,6 +101,18 @@ python_unittest(
     ],
 )
 
+python_unittest(
+    name = "joint_graph",
+    srcs = [
+        "test_joint_graph.py",
+    ],
+    deps = [
+        "//caffe2:torch",
+        "//executorch/exir:lib",
+        "//executorch/extension/pybindings:portable_lib",
+    ],
+)
+
 python_unittest(
     name = "error",
     srcs = [
@@ -198,6 +210,7 @@ python_unittest(
         "//executorch/exir/passes:debug_handle_generator_pass",
         "//executorch/exir/passes:insert_write_back_for_buffers_pass",
         "//executorch/exir/passes:lib",
+        "//executorch/exir/passes:memory_format_ops_pass",
         "//executorch/exir/passes:normalize_view_copy_base_pass",
         "//executorch/exir/passes:remove_graph_asserts_pass",
         "//executorch/exir/passes:remove_mixed_type_operators",
@@ -375,6 +388,11 @@ python_unittest(
     deps = [
         ":test_memory_format_ops_pass_utils",
         "//caffe2:torch",
+        "//executorch/exir:dim_order_utils",
+        "//executorch/exir:lib",
+        "//executorch/exir:pass_base",
+        "//executorch/exir/dialects:lib",
+        "//executorch/exir/dialects/edge:lib",
         "//executorch/extension/pybindings:portable_lib",  # @manual
     ],
 )
@@ -417,3 +435,13 @@ python_unittest(
         "//executorch/exir/passes:lib",
     ],
 )
+
+python_unittest(
+    name = "warnings",
+    srcs = [
+        "test_warnings.py",
+    ],
+    deps = [
+        "//executorch/exir:_warnings",
+    ],
+)
diff --git a/exir/tests/common.py b/exir/tests/common.py
index 3c56889eaa..afbd183784 100644
--- a/exir/tests/common.py
+++ b/exir/tests/common.py
@@ -49,7 +49,7 @@ def get_test_program() -> Program:
                             dim_order=typing.cast(List[bytes], [0, 1]),
                             requires_grad=False,
                             layout=0,
-                            constant_buffer_idx=0,
+                            data_buffer_idx=0,
                             allocation_info=AllocationDetails(
                                 memory_id=1,
                                 memory_offset_high=0,
diff --git a/exir/tests/test_joint_graph.py b/exir/tests/test_joint_graph.py
new file mode 100644
index 0000000000..2413e2b498
--- /dev/null
+++ b/exir/tests/test_joint_graph.py
@@ -0,0 +1,140 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-strict
+import unittest
+
+import torch
+import torch._dynamo
+
+from executorch.exir import to_edge
+
+from executorch.extension.pybindings.portable_lib import (
+    _load_for_executorch_from_buffer,
+)
+from torch.export._trace import _export
+from torch.export.experimental import _export_forward_backward
+from torch.export.exported_program import OutputKind
+
+
+class TestJointGraph(unittest.TestCase):
+    def test_joint_graph(self) -> None:
+        class Module(torch.nn.Module):
+            def __init__(self):
+                super().__init__()
+                self.linear = torch.nn.Linear(3, 3)
+                self.linear_no_train = torch.nn.Linear(3, 3)
+                for param in self.linear_no_train.parameters():
+                    param.requires_grad = False
+                self.loss = torch.nn.CrossEntropyLoss()
+
+            def forward(self, x, y):
+                return self.loss(self.linear_no_train(self.linear(x)).softmax(dim=0), y)
+
+        m = Module()
+        example_inputs = (torch.ones(3), torch.tensor([1.0, 0.0, 0.0]))
+        m(*example_inputs)
+        ep = _export(m, example_inputs, pre_dispatch=True)
+        joint_ep = _export_forward_backward(ep)
+        edge = to_edge(joint_ep)
+
+        output_node = None
+        for node in edge.exported_program().graph.nodes:
+            if node.op == "output":
+                output_node = node
+                break
+
+        orig_outputs = len(output_node.args[0])
+
+        et = edge.to_executorch()
+
+        weight_output_specs = [
+            spec
+            for spec in et.exported_program().graph_signature.output_specs
+            if spec.kind == OutputKind.TOKEN
+        ]
+
+        output_node = None
+        for node in et.exported_program().graph.nodes:
+            if node.op == "output":
+                output_node = node
+                break
+
+        weight_outputs = len(output_node.args[0])
+
+        # make sure 2 new outputs are added to both the node and the spec
+        self.assertEqual(len(weight_output_specs), 2)  # linear layer weight and bias
+        self.assertEqual(
+            weight_outputs - orig_outputs, 2
+        )  # linear layer weight and bias
+
+        # assert that the weight and bias have proper data_buffer_idx and allocation_info
+        self.assertEqual(
+            et.executorch_program.execution_plan[0]  # pyre-ignore
+            .values[0]
+            .val.data_buffer_idx,
+            1,
+        )
+        self.assertEqual(
+            et.executorch_program.execution_plan[0]  # pyre-ignore
+            .values[1]
+            .val.data_buffer_idx,
+            2,
+        )
+        self.assertEqual(
+            et.executorch_program.execution_plan[0]  # pyre-ignore
+            .values[0]
+            .val.allocation_info.memory_offset_low,
+            0,
+        )
+        self.assertEqual(
+            et.executorch_program.execution_plan[0]  # pyre-ignore
+            .values[1]
+            .val.allocation_info.memory_offset_low,
+            48,
+        )
+
+        loss = m(*example_inputs)
+        loss.backward()
+        et_mod = _load_for_executorch_from_buffer(et.buffer)
+        et_outputs = et_mod.forward(
+            example_inputs
+        )  # ET outputs are [loss, grads, weights]
+
+        self.assertTrue(torch.allclose(loss, et_outputs[0]))
+        self.assertTrue(
+            torch.allclose(m.linear.weight.grad, et_outputs[1])  # pyre-ignore[6]
+        )
+        self.assertTrue(torch.allclose(m.linear.bias.grad, et_outputs[2]))
+        self.assertTrue(torch.allclose(m.linear.weight, et_outputs[3]))
+        self.assertTrue(torch.allclose(m.linear.bias, et_outputs[4]))
+
+        self.assertEqual(
+            len(et.executorch_program.execution_plan), 4
+        )  # forward + 2 training metadata functions
+
+        # gradient outputs start at index 1
+        self.assertEqual(
+            et.executorch_program.execution_plan[1]  # pyre-ignore
+            .values[0]
+            .val.int_val,
+            1,
+        )
+
+        self.assertEqual(
+            et.executorch_program.execution_plan[2]  # pyre-ignore
+            .values[0]
+            .val.string_val,
+            "linear.weight",
+        )
+
+        # parameter outputs start at index 3
+        self.assertEqual(
+            et.executorch_program.execution_plan[3]  # pyre-ignore
+            .values[0]
+            .val.int_val,
+            3,
+        )
diff --git a/exir/tests/test_memory_format_ops_pass.py b/exir/tests/test_memory_format_ops_pass.py
index aac5927a32..7c9e1bd248 100644
--- a/exir/tests/test_memory_format_ops_pass.py
+++ b/exir/tests/test_memory_format_ops_pass.py
@@ -4,9 +4,22 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+import copy
 import unittest
 
+from typing import Union
+
 import torch
+from executorch.exir import EdgeCompileConfig, to_edge
+from executorch.exir.dialects._ops import ops as exir_ops
+from executorch.exir.dialects.edge._ops import EdgeOpOverload
+
+from executorch.exir.dim_order_utils import (
+    get_dim_order,
+    is_channel_last_dim_order,
+    is_contiguous_dim_order,
+)
+from executorch.exir.pass_base import ExportPass, ProxyValue
 
 from executorch.exir.tests.test_memory_format_ops_pass_utils import (
     MemoryFormatOpsPassTestUtils,
@@ -20,6 +33,9 @@
     _load_for_executorch_from_buffer,
 )
 
+from torch.export import export
+from torch.testing import FileCheck
+
 
 class TestMemoryFormatOpsPass(unittest.TestCase):
     def test_op_to_copy_replacement_2d(self) -> None:
@@ -77,3 +93,174 @@ def test_op_dim_order_propagation(self) -> None:
                 _load_for_executorch_from_buffer=_load_for_executorch_from_buffer,
             ),
         )
+
+    # Only test dim order replacement result in lean mode test.
+    # This test is irrelevant with operator mode.
+    def test_dim_order_replacement(self) -> None:
+        class ToyModel(torch.nn.Module):
+            def __init__(self):
+                super().__init__()
+
+            def forward(self, x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
+                t1 = x + y
+                t2 = t1 * x
+                t3 = t2 + y
+                return t3
+
+        def grab_tensor(arg: Union[ProxyValue, torch.Tensor]):
+            t = (
+                arg.to_tensor()
+                if isinstance(arg, ProxyValue) and arg.is_tensor()
+                else arg
+            )
+            assert isinstance(
+                t, torch.Tensor
+            ), f"Expecting a Tensor or a ProxyValue but got {type(t)}"
+            return t
+
+        class MulIOToChannelsLastPass(ExportPass):
+            """
+            This pass updates the dim order of the input tensors of mul op from contiguous to channels_last, and change the output dim order back to contiguous.
+            """
+
+            def call_operator(self, op, args, kwargs, meta):
+                if not (
+                    isinstance(op, EdgeOpOverload) and op.__name__ == "aten.mul.Tensor"
+                ):
+                    return super().call_operator(
+                        op,
+                        args,
+                        kwargs,
+                        meta,
+                    )
+
+                # new kwargs with dim_order, and no memory_format for the new op
+                nkwargs = dict(copy.deepcopy(kwargs))  # orig kwargs are immutable
+
+                _to_dim_order_copy_op = (
+                    exir_ops.edge.dim_order_ops._to_dim_order_copy.default
+                )
+
+                # update the dim order of the input tensors of mul op from contiguous to channels_last
+                new_args = []
+                for arg in args:
+                    # can always get the shape, assuming rank is specialized
+                    tensor_input = grab_tensor(arg)
+                    ndim = tensor_input.dim()
+                    dtype = tensor_input.dtype
+
+                    assert tensor_input.is_contiguous(
+                        memory_format=torch.contiguous_format
+                    ), "mul input should be in contiguous memory format"
+
+                    channels_last_dim_order = get_dim_order(torch.channels_last, ndim)
+                    contiguous_dim_order = get_dim_order(torch.contiguous_format, ndim)
+
+                    # convert the input tensors to channels_last
+                    arg_channels_last = super().call_operator(
+                        _to_dim_order_copy_op,
+                        (arg,),
+                        {"dtype": dtype, "dim_order": channels_last_dim_order},
+                        meta,
+                    )
+
+                    new_args.append(arg_channels_last)
+
+                new_args = tuple(new_args)
+
+                # call the mul op with the self tensor in channels_last
+                # mul op is using the same kernel to handle contiguous and channels_last inputs.
+                mul_out = super().call_operator(
+                    op,
+                    new_args,
+                    nkwargs,
+                    meta,
+                )
+
+                # convert the mul op output to contiguous
+                mul_out_contiguous = super().call_operator(
+                    _to_dim_order_copy_op,
+                    (mul_out,),
+                    {"dtype": dtype, "dim_order": contiguous_dim_order},
+                    meta,
+                )
+
+                return mul_out_contiguous
+
+        class MulIOCheckChannelsLastPass(ExportPass):
+            """
+            This pass updates the dim order of the input tensors of mul op from contiguous to channels_last, and change the output dim order back to contiguous.
+            """
+
+            def call_operator(self, op, args, kwargs, meta):
+                if not (
+                    isinstance(op, EdgeOpOverload) and op.__name__ == "aten.mul.Tensor"
+                ):
+                    return super().call_operator(
+                        op,
+                        args,
+                        kwargs,
+                        meta,
+                    )
+
+                # new kwargs with dim_order, and no memory_format for the new op
+                nkwargs = dict(copy.deepcopy(kwargs))  # orig kwargs are immutable
+
+                # check if the dim order of the input tensors of mul op is channels_last
+                for arg in args:
+                    # can always get the shape, assuming rank is specialized
+                    tensor_input = grab_tensor(arg)
+
+                    assert is_channel_last_dim_order(tensor_input)
+
+                # call the mul op with the self tensor in channels_last
+                # mul op is using the same kernel to handle contiguous and channels_last inputs.
+                mul_out = super().call_operator(
+                    op,
+                    args,
+                    nkwargs,
+                    meta,
+                )
+
+                # check if the dim order of the mul op output is channels_last
+                output_tensor = grab_tensor(mul_out)
+                assert is_channel_last_dim_order(output_tensor)
+
+                return mul_out
+
+        toy_model = ToyModel()
+        sample_input = (
+            torch.randn([2, 2, 2, 2], dtype=torch.float32),
+            torch.randn([2, 2, 2, 2], dtype=torch.float32),
+        )
+
+        _to_dim_order_op_str = "executorch_exir_dialects_edge__ops_dim_order_ops__to_dim_order_copy_default"
+
+        before_epm = to_edge(
+            export(toy_model, sample_input),
+            compile_config=EdgeCompileConfig(_skip_dim_order=False),
+        )
+
+        # should not contain _to_dim_order_copy op
+        FileCheck().check_not(_to_dim_order_op_str).run(
+            before_epm.exported_program().graph_module.code
+        )
+
+        # add the pass to update the input and output of mul op from contiguous to channels_last
+        updated_epm = before_epm.transform([MulIOToChannelsLastPass()])
+
+        # should contain exactly three _to_dim_order_copy op to update the dim order of both inputs and output of mul op
+        FileCheck().check_count(_to_dim_order_op_str, 3, exactly=True).run(
+            updated_epm.exported_program().graph_module.code
+        )
+
+        # add the pass to check the dim order of the input and output of mul op are channels_last
+        updated_epm = updated_epm.transform([MulIOCheckChannelsLastPass()])
+
+        # check original graph and update graph should have same result
+        expected = before_epm.exported_program().module()(*sample_input)
+        actual = updated_epm.exported_program().module()(*sample_input)
+        self.assertTrue(torch.allclose(actual, expected))
+
+        self.assertTrue(is_contiguous_dim_order(actual))
+        self.assertTrue(is_contiguous_dim_order(expected))
diff --git a/exir/tests/test_memory_planning.py b/exir/tests/test_memory_planning.py
index 12a0583ab4..ebea0acf0f 100644
--- a/exir/tests/test_memory_planning.py
+++ b/exir/tests/test_memory_planning.py
@@ -17,6 +17,8 @@
 from executorch.exir.memory_planning import (
     filter_nodes,
     get_node_tensor_specs,
+    greedy,
+    naive,
     Verifier,
 )
 from executorch.exir.pass_base import PassResult
@@ -208,7 +210,7 @@ def forward(self, a: torch.Tensor) -> torch.Tensor:
 
 def maketest(
     module_cls: Type[torch.nn.Module],
-    criteria: Optional[List[Tuple[str, bool]]] = None,
+    criteria: Optional[List[Tuple[Callable[..., List[int]], bool]]] = None,
     extra_check: Optional[Callable[..., None]] = None,
     use_functionalization: bool = True,
     alloc_graph_input: bool = True,
@@ -222,13 +224,15 @@ def wrapper(self: "TestMemoryPlanning") -> None:
         if not criteria:
             criteria = [
                 # naive algorithm does not reuse tensor storages
-                ("naive", False),
+                (naive, False),
                 # greedy algorithm should reuse tensor storages in the testing model
-                ("greedy", True),
+                (greedy, True),
             ]
 
         for algo, expect_reuse in criteria:
-            print(f"algo {algo}, expect_reuse {expect_reuse}")
+            print(
+                f"algo {getattr(algo, '__name__', repr(algo))}, expect_reuse {expect_reuse}"
+            )
             eager_module = module_cls().eval()
             inputs = eager_module.get_random_inputs()
             graph_module = (
@@ -353,8 +357,8 @@ def verify_overlap_placeholders(
     test_return_two: Callable[..., None] = maketest(
         ModuleReturnTwo,
         criteria=[
-            ("naive", False),
-            ("greedy", True),
+            (naive, False),
+            (greedy, True),
         ],
     )
 
@@ -363,8 +367,8 @@ def verify_overlap_placeholders(
     test_list_arg: Callable[..., None] = maketest(
         ModuleListArg,
         criteria=[
-            ("naive", False),
-            ("greedy", True),
+            (naive, False),
+            (greedy, True),
         ],
         extra_check=ModuleListArg.extra_check,
     )
@@ -466,12 +470,12 @@ def quantize(self, eager_model: nn.Module) -> nn.Module:
     @parameterized.expand(
         [
             (
-                "naive",
+                naive,
                 [(1, 0), (3, 0), (1, 4), (3, 4), (1, 8)],
                 [0, 12, 0, 8],
             ),
             (
-                "greedy",
+                greedy,
                 [(1, 0), (3, 0), (1, 4), (3, 4), (1, 0)],
                 [0, 8, 0, 8],
             ),
@@ -479,7 +483,7 @@ def quantize(self, eager_model: nn.Module) -> nn.Module:
     )
     def test_multiple_pools(
         self,
-        algo: str,
+        algo: Callable[..., List[int]],
         expected_allocs: List[Tuple[int, int]],
         expected_bufsizes: List[int],
     ) -> None:
@@ -550,9 +554,7 @@ def count_planned_inputs(
 
         ep_no_input_planning = to_edge(export(model, inputs)).to_executorch(
             config=ExecutorchBackendConfig(
-                memory_planning_pass=MemoryPlanningPass(
-                    "greedy", alloc_graph_input=False
-                ),
+                memory_planning_pass=MemoryPlanningPass(alloc_graph_input=False),
                 sym_shape_eval_pass=ConstraintBasedSymShapeEvalPass(),
             )
         )
@@ -572,9 +574,7 @@ def count_planned_inputs(
 
         ep_input_planning = to_edge(export(model, inputs)).to_executorch(
             config=ExecutorchBackendConfig(
-                memory_planning_pass=MemoryPlanningPass(
-                    "greedy", alloc_graph_input=True
-                ),
+                memory_planning_pass=MemoryPlanningPass(alloc_graph_input=True),
                 sym_shape_eval_pass=ConstraintBasedSymShapeEvalPass(),
             )
         )
diff --git a/exir/tests/test_passes.py b/exir/tests/test_passes.py
index 61d3af8afb..7957876347 100644
--- a/exir/tests/test_passes.py
+++ b/exir/tests/test_passes.py
@@ -37,10 +37,11 @@
 from executorch.exir.passes.insert_write_back_for_buffers_pass import (
     insert_write_back_for_buffers_pass,
 )
+
+from executorch.exir.passes.memory_format_ops_pass import DimOrderOpsRevertPass
 from executorch.exir.passes.normalize_view_copy_base_pass import (
     NormalizeViewCopyBasePass,
 )
-
 from executorch.exir.passes.remove_graph_asserts_pass import RemoveGraphAssertsPass
 from executorch.exir.passes.remove_mixed_type_operators import RemoveMixedTypeOperators
 from executorch.exir.passes.replace_edge_with_backend_pass import EdgeToBackendOpsPass
@@ -712,7 +713,7 @@ def test_alloc_node_spec(self) -> None:
         self.assertIsNotNone(new_gm_res)
         new_gm = new_gm_res.graph_module
 
-        new_gm_res = MemoryPlanningPass("greedy")(new_gm)
+        new_gm_res = MemoryPlanningPass()(new_gm)
         self.assertIsNotNone(new_gm_res)
         new_gm = new_gm_res.graph_module
 
@@ -1420,7 +1421,7 @@ def quantize_model(
             quantizer = XNNPACKQuantizer()
             quantization_config = get_symmetric_quantization_config()
             quantizer.set_global(quantization_config)
-            m = prepare_pt2e(m, quantizer)
+            m = prepare_pt2e(m, quantizer)  # pyre-fixme[6]
             m = convert_pt2e(m, fold_quantize=True)
             ep = torch.export.export(m, example_inputs)
             dq_nodes_pre = count_dq_nodes(ep.graph_module)
@@ -1676,3 +1677,100 @@ def forward(self, text_tokens):
         )
         new_ep = constant_prop_pass(edge_manager._edge_programs["forward"])
         _ = copy.deepcopy(new_ep.module_call_graph)
+
+    def test_dim_order_revert_pass(self) -> None:
+        aten_op_str = "torch.ops.aten._to_copy.default"
+        edge_aten_op_str = "executorch_exir_dialects_edge__ops_aten__to_copy_default"
+        edge_dim_order_op_str = "executorch_exir_dialects_edge__ops_dim_order_ops__to_dim_order_copy_default"
+
+        class Module(torch.nn.Module):
+            """
+            A simple module that has a single to op that converts to channels last and then back to contiguous.
+            Assuming contiguous input.
+            """
+
+            def __init__(self):
+                super().__init__()
+
+            def forward(self, x: torch.Tensor) -> torch.Tensor:
+                return x.to(memory_format=torch.channels_last).to(
+                    memory_format=torch.contiguous_format
+                ) + x.to(memory_format=torch.channels_last).to(
+                    memory_format=torch.contiguous_format
+                )
+
+            @staticmethod
+            def to_copy_count():
+                return 4
+
+        def _do_checks(
+            test_str: str, allowed: str, allowed_count: int, not_allowed_list: List[str]
+        ) -> None:
+            for not_allowed in not_allowed_list:
+                FileCheck().check_count(allowed, allowed_count, exactly=True).check_not(
+                    not_allowed
+                ).run(test_str)
+
+        m = Module()
+        n = m.to_copy_count()
+        input = torch.randn([2, 3, 4, 5]).to(memory_format=torch.contiguous_format)
+
+        # 1. vanilla export, no edge ops
+        ep = export(
+            m,
+            (input,),
+        )
+        _do_checks(
+            ep.graph_module.code,
+            aten_op_str,
+            n,
+            [edge_aten_op_str, edge_dim_order_op_str],
+        )
+
+        # 2a. to edge without dim orders, we should see edge aten ops but not dim order ops
+        edge_prog = to_edge(
+            ep, compile_config=exir.EdgeCompileConfig(_skip_dim_order=True)
+        )._edge_programs["forward"]
+        _do_checks(
+            edge_prog.graph_module.code,
+            edge_aten_op_str,
+            n,
+            [aten_op_str, edge_dim_order_op_str],
+        )
+
+        # 3a. expect no change after the pass, we should see edge aten ops but not dim order ops
+        new_res = DimOrderOpsRevertPass()(edge_prog.graph_module)
+        self.assertIsNotNone(new_res)
+        _do_checks(
+            new_res.graph_module.code,
+            edge_aten_op_str,
+            n,
+            [aten_op_str, edge_dim_order_op_str],
+        )
+
+        # 2b. let's try with dim order enabled, we should see edge dim order ops but not edge aten ops
+        edge_prog_dim_order = to_edge(
+            ep, compile_config=exir.EdgeCompileConfig(_skip_dim_order=False)
+        )._edge_programs["forward"]
+        _do_checks(
+            edge_prog_dim_order.graph_module.code,
+            edge_dim_order_op_str,
+            n,
+            [aten_op_str, edge_aten_op_str],
+        )
+
+        # 3b. expect edge aten ops after the pass, we should see not see the edge dim order ops
+        new_res_dim_order = DimOrderOpsRevertPass()(edge_prog_dim_order.graph_module)
+        self.assertIsNotNone(new_res_dim_order)
+        _do_checks(
+            new_res_dim_order.graph_module.code,
+            edge_aten_op_str,
+            n,
+            [aten_op_str, edge_dim_order_op_str],
+        )
+
+        output_no_dim_order = new_res.graph_module(input)
+        output_no_dim_order_revert = new_res_dim_order.graph_module(input)
+        self.assertTrue(
+            torch.allclose(output_no_dim_order[0], output_no_dim_order_revert[0])
+        )
diff --git a/exir/tests/test_quantization.py b/exir/tests/test_quantization.py
index ca85386db6..ebe9477522 100644
--- a/exir/tests/test_quantization.py
+++ b/exir/tests/test_quantization.py
@@ -58,7 +58,7 @@ def test_resnet(self) -> None:
             quantizer = XNNPACKQuantizer()
             operator_config = get_symmetric_quantization_config(is_per_channel=True)
             quantizer.set_global(operator_config)
-            m = prepare_pt2e(m, quantizer)
+            m = prepare_pt2e(m, quantizer)  # pyre-fixme[6]
             self.assertEqual(
                 id(m.activation_post_process_3), id(m.activation_post_process_2)
             )
diff --git a/exir/tests/test_remove_view_copy.py b/exir/tests/test_remove_view_copy.py
index f64a1f1998..0925a8abc8 100644
--- a/exir/tests/test_remove_view_copy.py
+++ b/exir/tests/test_remove_view_copy.py
@@ -48,9 +48,7 @@ def test_disable(self) -> None:
         etpm = to_edge(ep).to_executorch(
             config=ExecutorchBackendConfig(
                 remove_view_copy=False,
-                memory_planning_pass=MemoryPlanningPass(
-                    "greedy", alloc_graph_input=False
-                ),
+                memory_planning_pass=MemoryPlanningPass(alloc_graph_input=False),
             ),
         )
 
@@ -72,9 +70,7 @@ def test_output_matches(self) -> None:
         etpm_remove = epm_remove.to_executorch(
             config=ExecutorchBackendConfig(
                 remove_view_copy=True,
-                memory_planning_pass=MemoryPlanningPass(
-                    "greedy", alloc_graph_input=False
-                ),
+                memory_planning_pass=MemoryPlanningPass(alloc_graph_input=False),
             ),
         )
 
@@ -82,9 +78,7 @@ def test_output_matches(self) -> None:
         etpm_no_remove = epm_no_remove.to_executorch(
             config=ExecutorchBackendConfig(
                 remove_view_copy=True,
-                memory_planning_pass=MemoryPlanningPass(
-                    "greedy", alloc_graph_input=False
-                ),
+                memory_planning_pass=MemoryPlanningPass(alloc_graph_input=False),
             ),
         )
 
@@ -107,9 +101,7 @@ def test_spec(self) -> None:
         etpm = to_edge(ep).to_executorch(
             config=ExecutorchBackendConfig(
                 remove_view_copy=True,
-                memory_planning_pass=MemoryPlanningPass(
-                    "greedy", alloc_graph_input=False
-                ),
+                memory_planning_pass=MemoryPlanningPass(alloc_graph_input=False),
             ),
         )
 
diff --git a/exir/tests/test_tensor.py b/exir/tests/test_tensor.py
index a5d197a85b..c5383b0dac 100644
--- a/exir/tests/test_tensor.py
+++ b/exir/tests/test_tensor.py
@@ -171,7 +171,7 @@ def test_allocation_info_fails(self) -> None:
         )
         for test_case in test_cases:
             kwargs = test_case[0]
-            with self.assertRaisesRegex(ValueError, test_case[1], msg=f"{kwargs}"):
+            with self.assertRaisesRegex(Exception, test_case[1], msg=f"{kwargs}"):
                 make_allocation_info(**kwargs)
 
     def test_contiguous_stride_from_shape(self) -> None:
diff --git a/exir/tests/test_verification.py b/exir/tests/test_verification.py
index 33623d7f6c..c223e0ad84 100644
--- a/exir/tests/test_verification.py
+++ b/exir/tests/test_verification.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import unittest
 
 import torch
@@ -47,7 +49,7 @@ def f(x: torch.Tensor) -> torch.Tensor:
         for val_idx in range(len(test.execution_plan.values)):
             val = test.execution_plan.values[val_idx].val
             if not (
-                isinstance(val, Tensor) and val.constant_buffer_idx == 0
+                isinstance(val, Tensor) and val.data_buffer_idx == 0
             ) and not isinstance(val, TensorList):
                 test.load_value(val_idx)
         vlist = test.get_value_list()
diff --git a/exir/tests/test_warnings.py b/exir/tests/test_warnings.py
new file mode 100644
index 0000000000..f84920a559
--- /dev/null
+++ b/exir/tests/test_warnings.py
@@ -0,0 +1,169 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-strict
+import unittest
+import warnings
+from typing import Any, Callable, Optional
+
+from executorch.exir._warnings import deprecated, experimental, ExperimentalWarning
+
+#
+# Classes
+#
+
+
+class UndecoratedClass:
+    pass
+
+
+@deprecated("DeprecatedClass message")
+class DeprecatedClass:
+    pass
+
+
+@experimental("ExperimentalClass message")
+class ExperimentalClass:
+    pass
+
+
+#
+# Functions
+#
+
+
+def undecorated_function() -> None:
+    pass
+
+
+@deprecated("deprecated_function message")
+def deprecated_function() -> None:
+    pass
+
+
+@experimental("experimental_function message")
+def experimental_function() -> None:
+    pass
+
+
+#
+# Methods
+#
+
+
+class TestClass:
+    def undecorated_method(self) -> None:
+        pass
+
+    @deprecated("deprecated_method message")
+    def deprecated_method(self) -> None:
+        pass
+
+    @experimental("experimental_method message")
+    def experimental_method(self) -> None:
+        pass
+
+
+# NOTE: Variables and fields cannot be decorated.
+
+
+class TestApiLifecycle(unittest.TestCase):
+
+    def is_deprecated(
+        self,
+        callable: Callable[[], Any],  # pyre-ignore[2]: Any type
+        message: Optional[str] = None,
+    ) -> bool:
+        with warnings.catch_warnings(record=True) as w:
+            # Cause all warnings to always be triggered.
+            warnings.simplefilter("always")
+
+            # Try to trigger a warning.
+            callable()
+
+            if not w:
+                # No warnings were triggered.
+                return False
+            if not issubclass(w[-1].category, DeprecationWarning):
+                # There was a warning, but it wasn't a DeprecationWarning.
+                return False
+            if issubclass(w[-1].category, ExperimentalWarning):
+                # ExperimentalWarning is a subclass of DeprecationWarning.
+                return False
+            if message:
+                return message in str(w[-1].message)
+            return True
+
+    def is_experimental(
+        self,
+        callable: Callable[[], Any],  # pyre-ignore[2]: Any type
+        message: Optional[str] = None,
+    ) -> bool:
+        with warnings.catch_warnings(record=True) as w:
+            # Cause all warnings to always be triggered.
+            warnings.simplefilter("always")
+
+            # Try to trigger a warning.
+            callable()
+
+            if not w:
+                # No warnings were triggered.
+                return False
+            if not issubclass(w[-1].category, ExperimentalWarning):
+                # There was a warning, but it wasn't an ExperimentalWarning.
+                return False
+            if message:
+                return message in str(w[-1].message)
+            return True
+
+    def test_undecorated_class(self) -> None:
+        self.assertFalse(self.is_deprecated(UndecoratedClass))
+        self.assertFalse(self.is_experimental(UndecoratedClass))
+
+    def test_deprecated_class(self) -> None:
+        self.assertTrue(self.is_deprecated(DeprecatedClass, "DeprecatedClass message"))
+        self.assertFalse(self.is_experimental(DeprecatedClass))
+
+    def test_experimental_class(self) -> None:
+        self.assertFalse(self.is_deprecated(ExperimentalClass))
+        self.assertTrue(
+            self.is_experimental(ExperimentalClass, "ExperimentalClass message")
+        )
+
+    def test_undecorated_function(self) -> None:
+        self.assertFalse(self.is_deprecated(undecorated_function))
+        self.assertFalse(self.is_experimental(undecorated_function))
+
+    def test_deprecated_function(self) -> None:
+        self.assertTrue(
+            self.is_deprecated(deprecated_function, "deprecated_function message")
+        )
+        self.assertFalse(self.is_experimental(deprecated_function))
+
+    def test_experimental_function(self) -> None:
+        self.assertFalse(self.is_deprecated(experimental_function))
+        self.assertTrue(
+            self.is_experimental(experimental_function, "experimental_function message")
+        )
+
+    def test_undecorated_method(self) -> None:
+        tc = TestClass()
+        self.assertFalse(self.is_deprecated(tc.undecorated_method))
+        self.assertFalse(self.is_experimental(tc.undecorated_method))
+
+    def test_deprecated_method(self) -> None:
+        tc = TestClass()
+        self.assertTrue(
+            self.is_deprecated(tc.deprecated_method, "deprecated_method message")
+        )
+        self.assertFalse(self.is_experimental(tc.deprecated_method))
+
+    def test_experimental_method(self) -> None:
+        tc = TestClass()
+        self.assertFalse(self.is_deprecated(tc.experimental_method))
+        self.assertTrue(
+            self.is_experimental(tc.experimental_method, "experimental_method message")
+        )
diff --git a/exir/tracer.py b/exir/tracer.py
index 1a8709a237..c4593cca8e 100644
--- a/exir/tracer.py
+++ b/exir/tracer.py
@@ -272,7 +272,7 @@ def __torch_function__(
             kwargs = {}
         if torch.is_inference_mode_enabled():
             if func is torch.nn.functional.layer_norm:
-                args, kwargs = normalize_function(func, args, kwargs)
+                args, kwargs = normalize_function(func, args, kwargs)  # pyre-fixme[23]
                 input, normalized_shape = args
                 normalized_shape = list(normalized_shape)
                 return cls.__torch_dispatch__(
@@ -470,13 +470,13 @@ def create_arg(self, a: Value) -> torch.fx.Node:  # noqa: C901
                 self.submodules[a] = name_submodule
             return self.create_node("get_attr", self.submodules[a], (), {})
 
-        return super().create_arg(a)
+        return super().create_arg(a)  # pyre-fixme[7]
 
     @staticmethod
     def get() -> "DispatchTracer":
         return TRACER
 
-    def trace(
+    def trace(  # pyre-fixme[14,15]
         self,
         root: Callable[..., Value],
         concrete_args: Tuple[Value, ...] = (),
diff --git a/exir/verification/arg_validator.py b/exir/verification/arg_validator.py
index 65ab146782..c087944b12 100644
--- a/exir/verification/arg_validator.py
+++ b/exir/verification/arg_validator.py
@@ -62,7 +62,7 @@ def _get_kernel_arg(self, schema_arg, schema_arg_idx, args, kwargs):
 
         return kernel_arg
 
-    def call_function(  # noqa: C901
+    def call_function(  # noqa: C901  # pyre-fixme[14]
         self, target: _Target, args: Tuple[_Argument, ...], kwargs: Dict[str, _Argument]
     ) -> Any:
         """
@@ -73,7 +73,7 @@ def call_function(  # noqa: C901
         ):
             if isinstance(target, HigherOrderOperator):
                 raise RunHigherOrderOperatorError("Can't run delegate")
-            return super().call_function(target, args, kwargs)
+            return super().call_function(target, args, kwargs)  # pyre-fixme[6]
 
         # TODO(gasoonjia): Update Optional[torch.dtype] to a concrete class to support mixed dtypes in tensorlist.
         tensor_arg_types: Dict[str, Optional[torch.dtype]] = {}
@@ -126,4 +126,4 @@ def call_function(  # noqa: C901
         valid = target._schema.dtype_constraint.validate(tensor_arg_types)
         if not valid:
             self.violating_ops[target] = tensor_arg_types
-        return super().call_function(target, args, kwargs)
+        return super().call_function(target, args, kwargs)  # pyre-fixme[6]
diff --git a/exir/verification/interpreter.py b/exir/verification/interpreter.py
index da10e82a46..fff6a6d79b 100644
--- a/exir/verification/interpreter.py
+++ b/exir/verification/interpreter.py
@@ -166,11 +166,11 @@ def get_constant_tensors(self) -> List[Tensor]:
         tensors = []
         for elem in self.execution_plan.values:
             val = elem.val
-            if isinstance(val, Tensor) and val.constant_buffer_idx != 0:
+            if isinstance(val, Tensor) and val.data_buffer_idx != 0:
                 # load val into res
                 # pyre-fixme[16]
                 tensor = bindings.convert_to_tensor(
-                    self.data_buffers[val.constant_buffer_idx],
+                    self.data_buffers[val.data_buffer_idx],
                     val.scalar_type,
                     val.sizes,
                     stride_from_dim_order(val.sizes, val.dim_order),
@@ -239,7 +239,7 @@ def load_from_value_list(self, idx: int) -> None:  # noqa
                 tensor_list.append(self._value_list[i])
             self._value_list[idx] = tensor_list
         elif isinstance(val, Tensor):
-            if val.constant_buffer_idx == 0:
+            if val.data_buffer_idx == 0:
                 # TODO(zhengxu) Verify that argument is actually an out variant
                 self._value_list[idx] = torch.empty(
                     val.sizes, dtype=get_scalar_type(val.scalar_type)
@@ -248,7 +248,7 @@ def load_from_value_list(self, idx: int) -> None:  # noqa
                 # Constant Tensor conversion
                 # pyre-fixme [16]
                 tensor = bindings.convert_to_tensor(
-                    self.data_buffers[val.constant_buffer_idx],
+                    self.data_buffers[val.data_buffer_idx],
                     val.scalar_type,
                     val.sizes,
                     stride_from_dim_order(val.sizes, val.dim_order),
diff --git a/exir/verification/verifier.py b/exir/verification/verifier.py
index 8b6ec91dd3..b519e20393 100644
--- a/exir/verification/verifier.py
+++ b/exir/verification/verifier.py
@@ -52,12 +52,6 @@ def _check_valid_dim_order_ops(op, use_dim_order) -> None:
 class EXIRATenDialectVerifierBase(Verifier):
     dialect = "OLD_EXIR_ATEN_DISABLED"
 
-    def __init__(
-        self, exception_list: Optional[List[torch._ops.OpOverload]] = None
-    ) -> None:
-        super().__init__()
-        self._exception_list = exception_list if exception_list else []
-
     def allowed_getattr_types(self) -> Tuple[Type[Any], ...]:
         return (
             torch.fx.GraphModule,
@@ -78,38 +72,68 @@ def __call__(self, *args, **kwargs):
             raise RuntimeError("")
 
 
-class EXIRATenDialectVerifier(EXIRATenDialectVerifierBase):
-    dialect = "OLD_EXIR_ATEN"
+def EXIRATenDialectVerifier(  # noqa: C901
+    edge_compile_config: Optional[EdgeCompileConfig] = None,
+    class_only: bool = False,
+    exception_list: Optional[List[torch._ops.OpOverload]] = None,
+):
+    """
+    Returns a verifier class that runs ATen dialect specific checks on the graph module.
+    """
+    # merge the exception list from edge_compile_config and exception_list
+    if edge_compile_config and edge_compile_config._core_aten_ops_exception_list:
+        exception_list = edge_compile_config._core_aten_ops_exception_list + (
+            exception_list or []
+        )
 
-    def _get_exception_list(self) -> List[torch._ops.OpOverload]:
-        exception_list = [
-            torch.ops.aten.mkldnn_rnn_layer.default,
-            torch.ops.aten._upsample_bilinear2d_aa.default,
-            torch.ops.aten.quantize_per_tensor.default,
-            torch.ops.aten.dequantize.self,
-            torch.ops.aten.max.default,  # TODO(T188268054)
-            torch.ops.aten.min.default,  # TODO(T188268054)
-            torch.ops.aten.full_like.default,  # TODO(T183507359)
-        ]
-        exception_list += self._exception_list
+    class _EXIRATenDialectVerifier(EXIRATenDialectVerifierBase):
+        dialect = "OLD_EXIR_ATEN"
 
-        return exception_list
+        def __init__(self) -> None:
+            super().__init__()
+            # Note: here we are using the exception list passed from EXIRATenDialectVerifier function!
+            self._exception_list = exception_list if exception_list else []
 
-    def check_valid_op(self, op):
-        if isinstance(op, OpOverload):
-            # TODO These special ops should be removable easily.
-            if op.namespace != "aten" or op in self._get_exception_list():
-                return
-            if torch.Tag.core not in op.tags and torch.Tag.view_copy not in op.tags:
-                # NOTE(qihan): whether view_copy operators are marked as canonical is still under
-                #            discussion.
-                raise SpecViolationError(
-                    f"Operator {op.__module__}.{op.__name__} is not Aten Canonical."
-                )
+        def _get_exception_list(self) -> List[torch._ops.OpOverload]:
+            exception_list = [
+                torch.ops.aten.mkldnn_rnn_layer.default,
+                torch.ops.aten._upsample_bilinear2d_aa.default,
+                torch.ops.aten.quantize_per_tensor.default,
+                torch.ops.aten.dequantize.self,
+                torch.ops.aten.max.default,  # TODO(T188268054)
+                torch.ops.aten.min.default,  # TODO(T188268054)
+                torch.ops.aten.full_like.default,  # TODO(T183507359)
+            ]
+            exception_list += self._exception_list
 
+            return exception_list
 
-def get_aten_verifier(enable: bool = True):
-    return EXIRATenDialectVerifier if enable else EXIRATenDialectVerifierBase
+        def check_valid_op(self, op):
+            if isinstance(op, OpOverload):
+                # TODO These special ops should be removable easily.
+                if op.namespace != "aten" or op in self._get_exception_list():
+                    return
+                if torch.Tag.core not in op.tags and torch.Tag.view_copy not in op.tags:
+                    # NOTE(qihan): whether view_copy operators are marked as canonical is still under
+                    #            discussion.
+                    raise SpecViolationError(
+                        f"Operator {op.__module__}.{op.__name__} is not Aten Canonical."
+                    )
+
+    ret = _EXIRATenDialectVerifier
+    if not class_only:
+        ret = ret()
+    return ret
+
+
+def get_aten_verifier(config: EdgeCompileConfig):
+    return (
+        EXIRATenDialectVerifier(
+            class_only=True, exception_list=config._core_aten_ops_exception_list
+        )
+        if config._check_ir_validity
+        else EXIRATenDialectVerifierBase
+    )
 
 
 def _get_inputs(graph_module: GraphModule) -> List[Optional[FakeTensor]]:
@@ -160,6 +184,12 @@ def EXIREdgeDialectVerifier(  # noqa: C901
     class_only: bool = False,
     exception_list: Optional[List[torch._ops.OpOverload]] = None,
 ):
+    # merge the exception list from edge_compile_config and exception_list
+    if edge_compile_config and edge_compile_config._core_aten_ops_exception_list:
+        exception_list = edge_compile_config._core_aten_ops_exception_list + (
+            exception_list or []
+        )
+
     class _EXIREdgeDialectVerifier(Verifier):
         dialect = "EDGE"
 
@@ -170,7 +200,9 @@ def __init__(self) -> None:
             self.check_edge_ops = _edge_compile_config._use_edge_ops
             self.use_dim_order = not _edge_compile_config._skip_dim_order
 
-            self.aten_op_verifier = EXIRATenDialectVerifier(exception_list)
+            self.aten_op_verifier = EXIRATenDialectVerifier(
+                exception_list=exception_list
+            )
             self.check_valid_aten_op = self.aten_op_verifier.check_valid_op
 
             if self.check_edge_ops:
diff --git a/extension/android/BUCK b/extension/android/BUCK
new file mode 100644
index 0000000000..c2d6359af7
--- /dev/null
+++ b/extension/android/BUCK
@@ -0,0 +1,36 @@
+load("@fbsource//tools/build_defs/android:fb_android_library.bzl", "fb_android_library")
+
+oncall("executorch")
+
+fb_android_library(
+    name = "executorch",
+    srcs = [
+        "src/main/java/org/pytorch/executorch/DType.java",
+        "src/main/java/org/pytorch/executorch/EValue.java",
+        "src/main/java/org/pytorch/executorch/Module.java",
+        "src/main/java/org/pytorch/executorch/NativePeer.java",
+        "src/main/java/org/pytorch/executorch/Tensor.java",
+        "src/main/java/org/pytorch/executorch/annotations/Experimental.java",
+    ],
+    autoglob = False,
+    language = "JAVA",
+    deps = [
+        "//fbandroid/java/com/facebook/jni:jni",
+        "//fbandroid/libraries/soloader/java/com/facebook/soloader/nativeloader:nativeloader",
+    ],
+)
+
+fb_android_library(
+    name = "executorch_llama",
+    srcs = [
+        "src/main/java/org/pytorch/executorch/LlamaCallback.java",
+        "src/main/java/org/pytorch/executorch/LlamaModule.java",
+        "src/main/java/org/pytorch/executorch/annotations/Experimental.java",
+    ],
+    autoglob = False,
+    language = "JAVA",
+    deps = [
+        "//fbandroid/java/com/facebook/jni:jni",
+        "//fbandroid/libraries/soloader/java/com/facebook/soloader/nativeloader:nativeloader",
+    ],
+)
diff --git a/extension/android/CMakeLists.txt b/extension/android/CMakeLists.txt
index aa5a40a875..ab1f365010 100644
--- a/extension/android/CMakeLists.txt
+++ b/extension/android/CMakeLists.txt
@@ -10,7 +10,6 @@ project(executorch_jni)
 
 if(NOT CMAKE_CXX_STANDARD)
   set(CMAKE_CXX_STANDARD 17)
-  # Can't set to 11 due to executor_runner.cpp make_unique
 endif()
 
 if(NOT ANDROID)
@@ -32,8 +31,16 @@ find_package(executorch CONFIG REQUIRED)
 target_link_options_shared_lib(executorch)
 
 set(link_libraries)
-list(APPEND link_libraries extension_data_loader extension_module executorch
-     fbjni
+list(
+  APPEND
+  link_libraries
+  executorch
+  extension_data_loader
+  extension_module
+  extension_runner_util
+  extension_tensor
+  extension_threadpool
+  fbjni
 )
 
 if(TARGET optimized_native_cpu_ops_lib)
@@ -63,79 +70,55 @@ if(TARGET vulkan_backend)
   list(APPEND link_libraries vulkan_backend)
 endif()
 
+if(EXECUTORCH_BUILD_KERNELS_CUSTOM)
+  add_subdirectory(
+    ${EXECUTORCH_ROOT}/extension/llm/custom_ops
+    ${CMAKE_CURRENT_BINARY_DIR}/../../extension/llm/custom_ops
+  )
+  list(APPEND link_libraries custom_ops)
+  target_link_options_shared_lib(custom_ops)
+endif()
+
 add_library(executorch_jni SHARED jni/jni_layer.cpp)
-target_link_libraries(executorch_jni ${link_libraries})
-target_include_directories(
-  executorch_jni PRIVATE ${_common_include_directories}
-)
-target_compile_options(executorch_jni PUBLIC ${_common_compile_options})
 
 if(EXECUTORCH_BUILD_LLAMA_JNI)
-  set(LLAMA_RUNNER_PATH
-      ${CMAKE_CURRENT_BINARY_DIR}/../../examples/models/llama2/runner/libllama_runner.a
-  )
-  add_library(llama_runner STATIC IMPORTED)
-  set_property(
-    TARGET llama_runner PROPERTY IMPORTED_LOCATION ${LLAMA_RUNNER_PATH}
+  target_sources(executorch_jni PRIVATE jni/jni_layer_llama.cpp)
+  list(APPEND link_libraries llama_runner llava_runner)
+  target_compile_definitions(executorch_jni PUBLIC EXECUTORCH_BUILD_LLAMA_JNI=1)
+  add_subdirectory(
+    ${EXECUTORCH_ROOT}/examples/models/llava/runner
+    ${CMAKE_CURRENT_BINARY_DIR}/../../examples/models/llava/runner
   )
 
-  set(CUSTOM_OPS_PATH
-      ${CMAKE_CURRENT_BINARY_DIR}/../../examples/models/llama2/custom_ops/libcustom_ops.a
+  add_subdirectory(
+    ${EXECUTORCH_ROOT}/examples/models/llama2/runner
+    ${CMAKE_CURRENT_BINARY_DIR}/../../examples/models/llama2/runner
   )
-  add_library(custom_ops STATIC IMPORTED)
-  set_property(TARGET custom_ops PROPERTY IMPORTED_LOCATION ${CUSTOM_OPS_PATH})
-  target_link_options_shared_lib(custom_ops)
+endif()
 
+if(TARGET quantized_kernels)
+  list(APPEND link_libraries quantized_kernels quantized_ops_lib)
   target_link_options_shared_lib(quantized_ops_lib)
+endif()
+
+target_include_directories(
+  executorch_jni PRIVATE ${_common_include_directories}
+)
+
+target_compile_options(executorch_jni PUBLIC ${_common_compile_options})
+
+target_link_libraries(executorch_jni ${link_libraries})
 
-  if(TARGET pthreadpool)
-    set(LLAMA_JNI_SRCS jni/jni_layer_llama.cpp
-                       ../../backends/xnnpack/threadpool/cpuinfo_utils.cpp
-    )
-  else()
-    set(LLAMA_JNI_SRCS jni/jni_layer_llama.cpp)
-  endif()
-  add_library(executorch_llama_jni SHARED ${LLAMA_JNI_SRCS})
-  if(TARGET pthreadpool)
-    target_compile_definitions(executorch_llama_jni PRIVATE ET_USE_THREADPOOL=1)
-    target_include_directories(
-      executorch_llama_jni
-      PUBLIC
-        ${CMAKE_CURRENT_SOURCE_DIR}/../../backends/xnnpack/third-party/cpuinfo/include
-    )
-    target_include_directories(
-      executorch_llama_jni
-      PUBLIC
-        ${CMAKE_CURRENT_SOURCE_DIR}/../../backends/xnnpack/third-party/pthreadpool/include
-    )
-  endif()
+if(TARGET pthreadpool)
+  target_compile_definitions(executorch_jni PRIVATE ET_USE_THREADPOOL=1)
   target_include_directories(
-    executorch_llama_jni PRIVATE ${_common_include_directories}
+    executorch_jni
+    PUBLIC
+      ${CMAKE_CURRENT_SOURCE_DIR}/../../backends/xnnpack/third-party/cpuinfo/include
   )
-  target_link_libraries(
-    executorch_llama_jni
-    ${link_libraries}
-    llama_runner
-    custom_ops
-    cpublas
-    eigen_blas
-    quantized_kernels
-    quantized_ops_lib
+  target_include_directories(
+    executorch_jni
+    PUBLIC
+      ${CMAKE_CURRENT_SOURCE_DIR}/../../backends/xnnpack/third-party/pthreadpool/include
   )
-  target_compile_options(executorch_llama_jni PUBLIC ${_common_compile_options})
-  if(EXECUTORCH_USE_TIKTOKEN)
-    set(ABSL_ENABLE_INSTALL ON)
-    set(_pic_flag ${CMAKE_POSITION_INDEPENDENT_CODE})
-    set(CMAKE_POSITION_INDEPENDENT_CODE ON)
-    add_subdirectory(
-      ${CMAKE_CURRENT_SOURCE_DIR}/../../extension/llm/third-party/abseil-cpp
-      ${CMAKE_CURRENT_BINARY_DIR}/abseil-cpp
-    )
-    add_subdirectory(
-      ${CMAKE_CURRENT_SOURCE_DIR}/../../extension/llm/third-party/re2
-      ${CMAKE_CURRENT_BINARY_DIR}/re2
-    )
-    set(CMAKE_POSITION_INDEPENDENT_CODE ${_pic_flag})
-    target_link_libraries(executorch_llama_jni re2::re2)
-  endif()
 endif()
diff --git a/extension/android/benchmark/.gitignore b/extension/android/benchmark/.gitignore
new file mode 100644
index 0000000000..0d02171028
--- /dev/null
+++ b/extension/android/benchmark/.gitignore
@@ -0,0 +1,16 @@
+*.iml
+.gradle
+/local.properties
+/.idea/caches
+/.idea/libraries
+/.idea/modules.xml
+/.idea/workspace.xml
+/.idea/navEditor.xml
+/.idea/assetWizardSettings.xml
+.DS_Store
+/build
+/captures
+.externalNativeBuild
+.cxx
+local.properties
+*.aar
diff --git a/extension/android/benchmark/README.md b/extension/android/benchmark/README.md
new file mode 100644
index 0000000000..cfc5ef0e59
--- /dev/null
+++ b/extension/android/benchmark/README.md
@@ -0,0 +1,60 @@
+Minibench: ExecuTorch Android Benchmark App
+===
+
+Minibench is a benchmarking app for testing the performance of the ExecuTorch runtime on Android devices.
+
+It supports both generic (vision, audio, etc) models and LLM.
+
+- For generic model, it reports metrics such as model load time, and average inference time.
+- For LLM, it reports metrics such as model load time, and tokens per second.
+- We are working on providing more metrics in the future.
+
+Minibench is usedful for giving reference performance data when developers integrate ExecuTorch with their own Android app.
+
+## Build
+You will need executorch AAR for Java and JNI dependencies.
+```
+export ANDROID_NDK=<path_to_android_ndk>
+sh build/build_android_llm_demo.sh
+```
+and copy the AAR to `app/libs`.
+```
+mkdir -p app/libs
+cp $BUILD_AAR_DIR/executorch.aar app/libs
+```
+
+You can also refer to [this script](https://github.com/pytorch/executorch/blob/62024d8/.github/workflows/android-perf.yml#L226-L235) to see how it is built.
+
+Then you can build and install the app on Android Studio, or simply run
+```
+./gradlew installDebug
+```
+
+## Usage
+This apk does not come with a launcher icon. Instead, trigger it from command line
+
+### Push model to a directory
+```
+adb shell mkdir /data/local/tmp/minibench
+adb push my_model.pte /data/local/tmp/minibench
+# optionally, push tokenizer for LLM
+adb push tokenizer.bin /data/local/tmp/minibench
+```
+
+### Generic model
+```
+adb shell am start -W -S -n org.pytorch.minibench/org.pytorch.minibench.LlmBenchmarkActivity \
+ --es model_dir /data/local/tmp/minibench
+```
+
+### LLM
+```
+adb shell am start -W -S -n org.pytorch.minibench/org.pytorch.minibench.LlmBenchmarkActivity \
+ --es model_dir /data/local/tmp/minibench --es tokenizer_path /data/local/tmp/minibench/tokenizer.bin
+```
+
+### Fetch results
+```
+adb shell run-as org.pytorch.minibench cat files/benchmark_results.json
+```
+If the ExecuTorch runner is initialized and loads your model, but there is a load error or run error, you will see error code from that JSON.
diff --git a/extension/android/benchmark/android-llm-device-farm-test-spec.yml b/extension/android/benchmark/android-llm-device-farm-test-spec.yml
new file mode 100644
index 0000000000..ffb528767a
--- /dev/null
+++ b/extension/android/benchmark/android-llm-device-farm-test-spec.yml
@@ -0,0 +1,115 @@
+version: 0.1
+
+android_test_host: amazon_linux_2
+
+phases:
+  install:
+    commands:
+
+  pre_test:
+    commands:
+      # Prepare the model and the tokenizer
+      - adb -s $DEVICEFARM_DEVICE_UDID shell "ls -la /sdcard/"
+      - adb -s $DEVICEFARM_DEVICE_UDID shell "mkdir -p /data/local/tmp/minibench/"
+      - adb -s $DEVICEFARM_DEVICE_UDID shell "mv /sdcard/*.bin /data/local/tmp/minibench/"
+      - adb -s $DEVICEFARM_DEVICE_UDID shell "mv /sdcard/*.pte /data/local/tmp/minibench/"
+      - adb -s $DEVICEFARM_DEVICE_UDID shell "chmod 664 /data/local/tmp/minibench/*.bin"
+      - adb -s $DEVICEFARM_DEVICE_UDID shell "chmod 664 /data/local/tmp/minibench/*.pte"
+      - adb -s $DEVICEFARM_DEVICE_UDID shell "ls -la /data/local/tmp/minibench/"
+      - adb -s $DEVICEFARM_DEVICE_UDID shell "run-as org.pytorch.minibench rm -rf files"
+
+  test:
+    commands:
+      # By default, the following ADB command is used by Device Farm to run your Instrumentation test.
+      # Please refer to Android's documentation for more options on running instrumentation tests with adb:
+      # https://developer.android.com/studio/test/command-line#run-tests-with-adb
+
+      # Run the Instrumentation test for sanity check
+      - echo "Starting the Instrumentation test"
+      - |
+        adb -s $DEVICEFARM_DEVICE_UDID shell "am instrument -r -w --no-window-animation \
+        $DEVICEFARM_TEST_PACKAGE_NAME/$DEVICEFARM_TEST_PACKAGE_RUNNER 2>&1 || echo \": -1\"" |
+        tee $DEVICEFARM_LOG_DIR/instrument.log
+
+      # Parse the results
+      - |-
+        INSTRUMENT_LOG="$DEVICEFARM_LOG_DIR/instrument.log"
+
+        DID_ANY_TESTS_START=$(grep "INSTRUMENTATION_STATUS_CODE: 1" $INSTRUMENT_LOG | wc -l);
+        TESTS_PASSED=$(grep "INSTRUMENTATION_STATUS_CODE: 0" $INSTRUMENT_LOG | wc -l);
+        TESTS_ERRORED=$(grep "INSTRUMENTATION_STATUS_CODE: -1" $INSTRUMENT_LOG | wc -l);
+        TESTS_FAILED=$(grep "INSTRUMENTATION_STATUS_CODE: -2" $INSTRUMENT_LOG | wc -l);
+        TESTS_IGNORED=$(grep "INSTRUMENTATION_STATUS_CODE: -3" $INSTRUMENT_LOG | wc -l);
+        TESTS_ASSUMPTION_FAILED=$(grep "INSTRUMENTATION_STATUS_CODE: -4" $INSTRUMENT_LOG | wc -l);
+        TESTS_PROCESSES_CRASHED=$(grep "INSTRUMENTATION_RESULT: shortMsg=Process crashed." $INSTRUMENT_LOG | wc -l);
+
+      # And print the results so that the CI job can show them later
+      - |
+        INSTRUMENT_LOG="$DEVICEFARM_LOG_DIR/instrument.log"
+
+        if [ $DID_ANY_TESTS_START -eq 0 ];
+        then
+          echo "[PyTorch] Marking the test suite as failed because no tests started!";
+          false;
+        elif [ $TESTS_FAILED -ne 0 ];
+        then
+          echo "[PyTorch] Marking the test suite as failed because it failed to load the model";
+          false;
+        elif [ $TESTS_ERRORED -ne 0 ];
+        then
+          echo "[PyTorch] Marking the test suite as failed because $TESTS_ERRORED tests errored!";
+          false;
+        elif [ $TESTS_PROCESSES_CRASHED -ne 0 ];
+        then
+          echo "[PyTorch] Marking the test suite as failed because the app crashed due to OOM!";
+          false;
+        # Check for this last to make sure that there is no failure
+        elif [ $TESTS_PASSED -ne 0 ];
+        then
+          cat "${INSTRUMENT_LOG}"
+        fi;
+
+      # Run the new generic benchmark activity https://developer.android.com/tools/adb#am
+      - echo "Determine model type"
+      - |
+        BIN_FOUND="$(adb -s $DEVICEFARM_DEVICE_UDID shell find /data/local/tmp/minibench/ -name '*.bin')"
+        if [ -z "$BIN_FOUND" ]; then
+          echo "No tokenizer files found in /data/local/tmp/minibench/"
+        else
+          echo "tokenizer files found in /data/local/tmp/minibench/"
+        fi
+
+      - echo "Run benchmark"
+      - |
+        adb -s $DEVICEFARM_DEVICE_UDID shell am force-stop org.pytorch.minibench
+        if [ -z "$BIN_FOUND" ]; then
+          adb -s $DEVICEFARM_DEVICE_UDID shell am start -W -n org.pytorch.minibench/.BenchmarkActivity \
+            --es "model_dir" "/data/local/tmp/minibench"
+        else
+          adb -s $DEVICEFARM_DEVICE_UDID shell am start -W -n org.pytorch.minibench/.LlmBenchmarkActivity \
+            --es "model_dir" "/data/local/tmp/minibench" \
+            --es "tokenizer_path" "/data/local/tmp/minibench/tokenizer.bin"
+        fi
+
+
+  post_test:
+    commands:
+      - echo "Gather benchmark results"
+      - |
+        BENCHMARK_RESULTS=$(adb -s $DEVICEFARM_DEVICE_UDID shell run-as org.pytorch.minibench cat files/benchmark_results.json)
+        ATTEMPT=0
+        MAX_ATTEMPT=10
+        while [ -z "${BENCHMARK_RESULTS}" ] && [ $ATTEMPT -lt $MAX_ATTEMPT ]; do
+          echo "Waiting for benchmark results..."
+          BENCHMARK_RESULTS=$(adb -s $DEVICEFARM_DEVICE_UDID shell run-as org.pytorch.minibench cat files/benchmark_results.json)
+          sleep 30
+          ((ATTEMPT++))
+        done
+
+        adb -s $DEVICEFARM_DEVICE_UDID shell run-as org.pytorch.minibench ls -la files/
+        # Trying to pull the file using adb ends up with permission error, but this works too, so why not
+        echo "${BENCHMARK_RESULTS}" > $DEVICEFARM_LOG_DIR/benchmark_results.json
+
+artifacts:
+  # By default, Device Farm will collect your artifacts from the $DEVICEFARM_LOG_DIR directory.
+  - $DEVICEFARM_LOG_DIR
diff --git a/extension/android/benchmark/app/.gitignore b/extension/android/benchmark/app/.gitignore
new file mode 100644
index 0000000000..796b96d1c4
--- /dev/null
+++ b/extension/android/benchmark/app/.gitignore
@@ -0,0 +1 @@
+/build
diff --git a/extension/android/benchmark/app/build.gradle.kts b/extension/android/benchmark/app/build.gradle.kts
new file mode 100644
index 0000000000..dcf99ca9cd
--- /dev/null
+++ b/extension/android/benchmark/app/build.gradle.kts
@@ -0,0 +1,45 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+plugins { id("com.android.application") }
+
+android {
+  namespace = "org.pytorch.minibench"
+  compileSdk = 34
+
+  defaultConfig {
+    applicationId = "org.pytorch.minibench"
+    minSdk = 28
+    targetSdk = 33
+    versionCode = 1
+    versionName = "1.0"
+
+    testInstrumentationRunner = "androidx.test.runner.AndroidJUnitRunner"
+  }
+
+  buildTypes {
+    release {
+      isMinifyEnabled = false
+      proguardFiles(getDefaultProguardFile("proguard-android-optimize.txt"), "proguard-rules.pro")
+    }
+  }
+  compileOptions {
+    sourceCompatibility = JavaVersion.VERSION_1_8
+    targetCompatibility = JavaVersion.VERSION_1_8
+  }
+}
+
+dependencies {
+  implementation(files("libs/executorch.aar"))
+  implementation("com.facebook.soloader:soloader:0.10.5")
+  implementation("com.facebook.fbjni:fbjni:0.5.1")
+  implementation("com.google.code.gson:gson:2.8.6")
+  testImplementation("junit:junit:4.13.2")
+  androidTestImplementation("androidx.test.ext:junit:1.2.1")
+  androidTestImplementation("androidx.test.espresso:espresso-core:3.6.1")
+}
diff --git a/extension/android/benchmark/app/proguard-rules.pro b/extension/android/benchmark/app/proguard-rules.pro
new file mode 100644
index 0000000000..481bb43481
--- /dev/null
+++ b/extension/android/benchmark/app/proguard-rules.pro
@@ -0,0 +1,21 @@
+# Add project specific ProGuard rules here.
+# You can control the set of applied configuration files using the
+# proguardFiles setting in build.gradle.
+#
+# For more details, see
+#   http://developer.android.com/guide/developing/tools/proguard.html
+
+# If your project uses WebView with JS, uncomment the following
+# and specify the fully qualified class name to the JavaScript interface
+# class:
+#-keepclassmembers class fqcn.of.javascript.interface.for.webview {
+#   public *;
+#}
+
+# Uncomment this to preserve the line number information for
+# debugging stack traces.
+#-keepattributes SourceFile,LineNumberTable
+
+# If you keep the line number information, uncomment this to
+# hide the original source file name.
+#-renamesourcefileattribute SourceFile
\ No newline at end of file
diff --git a/extension/android/benchmark/app/src/androidTest/java/org/pytorch/minibench/ExampleInstrumentedTest.java b/extension/android/benchmark/app/src/androidTest/java/org/pytorch/minibench/ExampleInstrumentedTest.java
new file mode 100644
index 0000000000..9de6683588
--- /dev/null
+++ b/extension/android/benchmark/app/src/androidTest/java/org/pytorch/minibench/ExampleInstrumentedTest.java
@@ -0,0 +1,32 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package org.pytorch.minibench;
+
+import static org.junit.Assert.*;
+
+import android.content.Context;
+import androidx.test.ext.junit.runners.AndroidJUnit4;
+import androidx.test.platform.app.InstrumentationRegistry;
+import org.junit.Test;
+import org.junit.runner.RunWith;
+
+/**
+ * Instrumented test, which will execute on an Android device.
+ *
+ * @see <a href="http://d.android.com/tools/testing">Testing documentation</a>
+ */
+@RunWith(AndroidJUnit4.class)
+public class ExampleInstrumentedTest {
+  @Test
+  public void useAppContext() {
+    // Context of the app under test.
+    Context appContext = InstrumentationRegistry.getInstrumentation().getTargetContext();
+    assertEquals("org.pytorch.minibench", appContext.getPackageName());
+  }
+}
diff --git a/extension/android/benchmark/app/src/main/AndroidManifest.xml b/extension/android/benchmark/app/src/main/AndroidManifest.xml
new file mode 100644
index 0000000000..7f62c509d5
--- /dev/null
+++ b/extension/android/benchmark/app/src/main/AndroidManifest.xml
@@ -0,0 +1,34 @@
+<?xml version="1.0" encoding="utf-8"?>
+<manifest xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:tools="http://schemas.android.com/tools">
+
+    <application
+        android:extractNativeLibs="true"
+        android:label="@string/app_name"
+        android:supportsRtl="true"
+        android:theme="@style/Theme.MiniBench"
+        tools:targetApi="31">
+
+        <uses-native-library
+            android:name="libcdsprpc.so"
+            android:required="false" />
+
+        <activity
+            android:name=".BenchmarkActivity"
+            android:exported="true">
+            <intent-filter>
+                <action android:name="org.pytorch.minibench.BENCHMARK" />
+            </intent-filter>
+        </activity>
+
+        <activity
+            android:name=".LlmBenchmarkActivity"
+            android:exported="true">
+            <intent-filter>
+                <action android:name="org.pytorch.minibench.BENCHMARK" />
+            </intent-filter>
+        </activity>
+
+    </application>
+
+</manifest>
diff --git a/extension/android/benchmark/app/src/main/java/org/pytorch/minibench/BenchmarkActivity.java b/extension/android/benchmark/app/src/main/java/org/pytorch/minibench/BenchmarkActivity.java
new file mode 100644
index 0000000000..2397bcfb85
--- /dev/null
+++ b/extension/android/benchmark/app/src/main/java/org/pytorch/minibench/BenchmarkActivity.java
@@ -0,0 +1,100 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package org.pytorch.minibench;
+
+import android.app.Activity;
+import android.content.Intent;
+import android.os.Bundle;
+import android.system.ErrnoException;
+import android.system.Os;
+import com.google.gson.Gson;
+import java.io.File;
+import java.io.FileWriter;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.stream.Collectors;
+import org.pytorch.executorch.Module;
+
+public class BenchmarkActivity extends Activity {
+  @Override
+  protected void onCreate(Bundle savedInstanceState) {
+    super.onCreate(savedInstanceState);
+
+    try {
+      Os.setenv("ADSP_LIBRARY_PATH", getApplicationInfo().nativeLibraryDir, true);
+    } catch (ErrnoException e) {
+      finish();
+    }
+
+    Intent intent = getIntent();
+    File modelDir = new File(intent.getStringExtra("model_dir"));
+    File model =
+        Arrays.stream(modelDir.listFiles())
+            .filter(file -> file.getName().endsWith(".pte"))
+            .findFirst()
+            .get();
+
+    int numIter = intent.getIntExtra("num_iter", 10);
+
+    // TODO: Format the string with a parsable format
+    Stats stats = new Stats();
+
+    // Record the time it takes to load the model and the forward method
+    stats.loadStart = System.nanoTime();
+    Module module = Module.load(model.getPath());
+    stats.errorCode = module.loadMethod("forward");
+    stats.loadEnd = System.nanoTime();
+
+    for (int i = 0; i < numIter; i++) {
+      long start = System.nanoTime();
+      module.forward();
+      double forwardMs = (System.nanoTime() - start) * 1e-6;
+      stats.latency.add(forwardMs);
+    }
+
+    final BenchmarkMetric.BenchmarkModel benchmarkModel =
+        BenchmarkMetric.extractBackendAndQuantization(model.getName().replace(".pte", ""));
+    final List<BenchmarkMetric> results = new ArrayList<>();
+    // The list of metrics we have atm includes:
+    // Avg inference latency after N iterations
+    results.add(
+        new BenchmarkMetric(
+            benchmarkModel,
+            "avg_inference_latency(ms)",
+            stats.latency.stream().mapToDouble(l -> l).average().orElse(0.0f),
+            0.0f));
+    // Model load time
+    results.add(
+        new BenchmarkMetric(
+            benchmarkModel, "model_load_time(ms)", (stats.loadEnd - stats.loadStart) * 1e-6, 0.0f));
+    // Load status
+    results.add(new BenchmarkMetric(benchmarkModel, "load_status", stats.errorCode, 0));
+
+    try (FileWriter writer = new FileWriter(getFilesDir() + "/benchmark_results.json")) {
+      Gson gson = new Gson();
+      writer.write(gson.toJson(results));
+    } catch (IOException e) {
+      e.printStackTrace();
+    }
+  }
+}
+
+class Stats {
+  long loadStart;
+  long loadEnd;
+  List<Double> latency = new ArrayList<>();
+  int errorCode = 0;
+
+  @Override
+  public String toString() {
+    return "latency: " + latency.stream().map(Object::toString).collect(Collectors.joining(""));
+  }
+}
diff --git a/extension/android/benchmark/app/src/main/java/org/pytorch/minibench/BenchmarkMetric.java b/extension/android/benchmark/app/src/main/java/org/pytorch/minibench/BenchmarkMetric.java
new file mode 100644
index 0000000000..22ee7b8480
--- /dev/null
+++ b/extension/android/benchmark/app/src/main/java/org/pytorch/minibench/BenchmarkMetric.java
@@ -0,0 +1,74 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package org.pytorch.minibench;
+
+import android.app.ActivityManager;
+import android.os.Build;
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
+
+class BenchmarkMetric {
+  public static class BenchmarkModel {
+    // The model name, i.e. stories110M
+    String name;
+    String backend;
+    String quantization;
+
+    public BenchmarkModel(final String name, final String backend, final String quantization) {
+      this.name = name;
+      this.backend = backend;
+      this.quantization = quantization;
+    }
+  }
+
+  BenchmarkModel benchmarkModel;
+
+  // The metric name, i.e. TPS
+  String metric;
+
+  // The actual value and the option target value
+  double actualValue;
+  double targetValue;
+
+  public static class DeviceInfo {
+    // Let's see which information we want to include here
+    final String device = Build.BRAND;
+    // The phone model and Android release version
+    final String arch = Build.MODEL;
+    final String os = "Android " + Build.VERSION.RELEASE;
+    final long totalMem = new ActivityManager.MemoryInfo().totalMem;
+    final long availMem = new ActivityManager.MemoryInfo().availMem;
+  }
+
+  DeviceInfo deviceInfo = new DeviceInfo();
+
+  public BenchmarkMetric(
+      final BenchmarkModel benchmarkModel,
+      final String metric,
+      final double actualValue,
+      final double targetValue) {
+    this.benchmarkModel = benchmarkModel;
+    this.metric = metric;
+    this.actualValue = actualValue;
+    this.targetValue = targetValue;
+  }
+
+  // TODO (huydhn): Figure out a way to extract the backend and quantization information from
+  // the .pte model itself instead of parsing its name
+  public static BenchmarkMetric.BenchmarkModel extractBackendAndQuantization(final String model) {
+    final Matcher m =
+        Pattern.compile("(?<name>\\w+)_(?<backend>\\w+)_(?<quantization>\\w+)").matcher(model);
+    if (m.matches()) {
+      return new BenchmarkMetric.BenchmarkModel(
+          m.group("name"), m.group("backend"), m.group("quantization"));
+    } else {
+      return new BenchmarkMetric.BenchmarkModel(model, "", "");
+    }
+  }
+}
diff --git a/extension/android/benchmark/app/src/main/java/org/pytorch/minibench/LlmBenchmarkActivity.java b/extension/android/benchmark/app/src/main/java/org/pytorch/minibench/LlmBenchmarkActivity.java
new file mode 100644
index 0000000000..3bc38aad40
--- /dev/null
+++ b/extension/android/benchmark/app/src/main/java/org/pytorch/minibench/LlmBenchmarkActivity.java
@@ -0,0 +1,154 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package org.pytorch.minibench;
+
+import android.app.Activity;
+import android.content.Intent;
+import android.os.Bundle;
+import android.system.ErrnoException;
+import android.system.Os;
+import android.util.Log;
+import com.google.gson.Gson;
+import java.io.File;
+import java.io.FileWriter;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
+
+public class LlmBenchmarkActivity extends Activity implements ModelRunnerCallback {
+  ModelRunner mModelRunner;
+
+  String mPrompt;
+  StatsInfo mStatsInfo;
+
+  @Override
+  protected void onCreate(Bundle savedInstanceState) {
+    super.onCreate(savedInstanceState);
+
+    Intent intent = getIntent();
+
+    File modelDir = new File(intent.getStringExtra("model_dir"));
+    File model =
+        Arrays.stream(modelDir.listFiles())
+            .filter(file -> file.getName().endsWith(".pte"))
+            .findFirst()
+            .get();
+    String tokenizerPath = intent.getStringExtra("tokenizer_path");
+
+    float temperature = intent.getFloatExtra("temperature", 0.8f);
+    mPrompt = intent.getStringExtra("prompt");
+    if (mPrompt == null) {
+      mPrompt = "The ultimate answer";
+    }
+
+    try {
+      Os.setenv("ADSP_LIBRARY_PATH", getApplicationInfo().nativeLibraryDir, true);
+    } catch (ErrnoException e) {
+      finish();
+    }
+
+    mStatsInfo = new StatsInfo();
+    mStatsInfo.modelName = model.getName().replace(".pte", "");
+    mModelRunner = new ModelRunner(model.getPath(), tokenizerPath, temperature, this);
+    mStatsInfo.loadStart = System.nanoTime();
+  }
+
+  @Override
+  public void onModelLoaded(int status) {
+    mStatsInfo.loadEnd = System.nanoTime();
+    mStatsInfo.loadStatus = status;
+    if (status != 0) {
+      Log.e("LlmBenchmarkRunner", "Loaded failed: " + status);
+      onGenerationStopped();
+      return;
+    }
+    mStatsInfo.generateStart = System.nanoTime();
+    mModelRunner.generate(mPrompt);
+  }
+
+  @Override
+  public void onTokenGenerated(String token) {}
+
+  @Override
+  public void onStats(String stats) {
+    mStatsInfo.tokens = stats;
+  }
+
+  @Override
+  public void onGenerationStopped() {
+    mStatsInfo.generateEnd = System.nanoTime();
+
+    final BenchmarkMetric.BenchmarkModel benchmarkModel =
+        BenchmarkMetric.extractBackendAndQuantization(mStatsInfo.modelName);
+    final List<BenchmarkMetric> results = new ArrayList<>();
+    // The list of metrics we have atm includes:
+    // Load status
+    results.add(new BenchmarkMetric(benchmarkModel, "load_status", mStatsInfo.loadStatus, 0));
+    // Model load time
+    results.add(
+        new BenchmarkMetric(
+            benchmarkModel,
+            "model_load_time(ms)",
+            (mStatsInfo.loadEnd - mStatsInfo.loadStart) * 1e-6,
+            0.0f));
+    // LLM generate time
+    results.add(
+        new BenchmarkMetric(
+            benchmarkModel,
+            "generate_time(ms)",
+            (mStatsInfo.generateEnd - mStatsInfo.generateStart) * 1e-6,
+            0.0f));
+    // Token per second
+    results.add(
+        new BenchmarkMetric(benchmarkModel, "token_per_sec", extractTPS(mStatsInfo.tokens), 0.0f));
+
+    try (FileWriter writer = new FileWriter(getFilesDir() + "/benchmark_results.json")) {
+      Gson gson = new Gson();
+      writer.write(gson.toJson(results));
+    } catch (IOException e) {
+      e.printStackTrace();
+    }
+  }
+
+  private double extractTPS(final String tokens) {
+    final Matcher m = Pattern.compile("\\d+\\.?\\d*").matcher(tokens);
+    if (m.find()) {
+      return Double.parseDouble(m.group());
+    } else {
+      return 0.0f;
+    }
+  }
+}
+
+class StatsInfo {
+  int loadStatus;
+  long loadStart;
+  long loadEnd;
+  long generateStart;
+  long generateEnd;
+  String tokens;
+  String modelName;
+
+  @Override
+  public String toString() {
+    return "loadStart: "
+        + loadStart
+        + "\nloadEnd: "
+        + loadEnd
+        + "\ngenerateStart: "
+        + generateStart
+        + "\ngenerateEnd: "
+        + generateEnd
+        + "\n"
+        + tokens;
+  }
+}
diff --git a/extension/android/benchmark/app/src/main/java/org/pytorch/minibench/ModelRunner.java b/extension/android/benchmark/app/src/main/java/org/pytorch/minibench/ModelRunner.java
new file mode 100644
index 0000000000..9e9b9e003d
--- /dev/null
+++ b/extension/android/benchmark/app/src/main/java/org/pytorch/minibench/ModelRunner.java
@@ -0,0 +1,97 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package org.pytorch.minibench;
+
+import android.os.Handler;
+import android.os.HandlerThread;
+import android.os.Looper;
+import android.os.Message;
+import org.pytorch.executorch.LlamaCallback;
+import org.pytorch.executorch.LlamaModule;
+
+/** A helper class to handle all model running logic within this class. */
+public class ModelRunner implements LlamaCallback {
+  LlamaModule mModule = null;
+
+  String mModelFilePath = "";
+  String mTokenizerFilePath = "";
+
+  ModelRunnerCallback mCallback = null;
+
+  HandlerThread mHandlerThread = null;
+  Handler mHandler = null;
+
+  /**
+   * ] Helper class to separate between UI logic and model runner logic. Automatically handle
+   * generate() request on worker thread.
+   *
+   * @param modelFilePath
+   * @param tokenizerFilePath
+   * @param callback
+   */
+  ModelRunner(
+      String modelFilePath,
+      String tokenizerFilePath,
+      float temperature,
+      ModelRunnerCallback callback) {
+    mModelFilePath = modelFilePath;
+    mTokenizerFilePath = tokenizerFilePath;
+    mCallback = callback;
+
+    mModule = new LlamaModule(mModelFilePath, mTokenizerFilePath, 0.8f);
+    mHandlerThread = new HandlerThread("ModelRunner");
+    mHandlerThread.start();
+    mHandler = new ModelRunnerHandler(mHandlerThread.getLooper(), this);
+
+    mHandler.sendEmptyMessage(ModelRunnerHandler.MESSAGE_LOAD_MODEL);
+  }
+
+  int generate(String prompt) {
+    Message msg = Message.obtain(mHandler, ModelRunnerHandler.MESSAGE_GENERATE, prompt);
+    msg.sendToTarget();
+    return 0;
+  }
+
+  void stop() {
+    mModule.stop();
+  }
+
+  @Override
+  public void onResult(String result) {
+    mCallback.onTokenGenerated(result);
+  }
+
+  @Override
+  public void onStats(float tps) {
+    mCallback.onStats("tokens/second: " + tps);
+  }
+}
+
+class ModelRunnerHandler extends Handler {
+  public static int MESSAGE_LOAD_MODEL = 1;
+  public static int MESSAGE_GENERATE = 2;
+
+  private final ModelRunner mModelRunner;
+
+  public ModelRunnerHandler(Looper looper, ModelRunner modelRunner) {
+    super(looper);
+    mModelRunner = modelRunner;
+  }
+
+  @Override
+  public void handleMessage(android.os.Message msg) {
+    if (msg.what == MESSAGE_LOAD_MODEL) {
+      int status = mModelRunner.mModule.load();
+      mModelRunner.mCallback.onModelLoaded(status);
+    } else if (msg.what == MESSAGE_GENERATE) {
+      mModelRunner.mModule.generate((String) msg.obj, mModelRunner);
+      mModelRunner.mCallback.onGenerationStopped();
+    }
+  }
+}
diff --git a/extension/android/benchmark/app/src/main/java/org/pytorch/minibench/ModelRunnerCallback.java b/extension/android/benchmark/app/src/main/java/org/pytorch/minibench/ModelRunnerCallback.java
new file mode 100644
index 0000000000..63701a7bbc
--- /dev/null
+++ b/extension/android/benchmark/app/src/main/java/org/pytorch/minibench/ModelRunnerCallback.java
@@ -0,0 +1,24 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package org.pytorch.minibench;
+
+/**
+ * A helper interface within the app for MainActivity and Benchmarking to handle callback from
+ * ModelRunner.
+ */
+public interface ModelRunnerCallback {
+
+  void onModelLoaded(int status);
+
+  void onTokenGenerated(String token);
+
+  void onStats(String token);
+
+  void onGenerationStopped();
+}
diff --git a/extension/android/benchmark/app/src/main/res/values/colors.xml b/extension/android/benchmark/app/src/main/res/values/colors.xml
new file mode 100644
index 0000000000..ca1931bca9
--- /dev/null
+++ b/extension/android/benchmark/app/src/main/res/values/colors.xml
@@ -0,0 +1,10 @@
+<?xml version="1.0" encoding="utf-8"?>
+<resources>
+    <color name="purple_200">#FFBB86FC</color>
+    <color name="purple_500">#FF6200EE</color>
+    <color name="purple_700">#FF3700B3</color>
+    <color name="teal_200">#FF03DAC5</color>
+    <color name="teal_700">#FF018786</color>
+    <color name="black">#FF000000</color>
+    <color name="white">#FFFFFFFF</color>
+</resources>
diff --git a/extension/android/benchmark/app/src/main/res/values/strings.xml b/extension/android/benchmark/app/src/main/res/values/strings.xml
new file mode 100644
index 0000000000..34062786b9
--- /dev/null
+++ b/extension/android/benchmark/app/src/main/res/values/strings.xml
@@ -0,0 +1,3 @@
+<resources>
+    <string name="app_name">MiniBench</string>
+</resources>
\ No newline at end of file
diff --git a/extension/android/benchmark/app/src/main/res/values/themes.xml b/extension/android/benchmark/app/src/main/res/values/themes.xml
new file mode 100644
index 0000000000..8a63cb8955
--- /dev/null
+++ b/extension/android/benchmark/app/src/main/res/values/themes.xml
@@ -0,0 +1,5 @@
+<resources xmlns:tools="http://schemas.android.com/tools">
+    <!-- Base application theme. -->
+    <style name="Theme.MiniBench" parent="android:Theme.DeviceDefault">
+    </style>
+</resources>
diff --git a/extension/android/benchmark/app/src/test/java/org/pytorch/minibench/ExampleUnitTest.java b/extension/android/benchmark/app/src/test/java/org/pytorch/minibench/ExampleUnitTest.java
new file mode 100644
index 0000000000..c6a6a76a4d
--- /dev/null
+++ b/extension/android/benchmark/app/src/test/java/org/pytorch/minibench/ExampleUnitTest.java
@@ -0,0 +1,25 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package org.pytorch.minibench;
+
+import static org.junit.Assert.*;
+
+import org.junit.Test;
+
+/**
+ * Example local unit test, which will execute on the development machine (host).
+ *
+ * @see <a href="http://d.android.com/tools/testing">Testing documentation</a>
+ */
+public class ExampleUnitTest {
+  @Test
+  public void addition_isCorrect() {
+    assertEquals(4, 2 + 2);
+  }
+}
diff --git a/extension/android/benchmark/build.gradle.kts b/extension/android/benchmark/build.gradle.kts
new file mode 100644
index 0000000000..ac625be8e0
--- /dev/null
+++ b/extension/android/benchmark/build.gradle.kts
@@ -0,0 +1,10 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// Top-level build file where you can add configuration options common to all sub-projects/modules.
+plugins { id("com.android.application") version "8.1.0" apply false }
diff --git a/extension/android/benchmark/gradle.properties b/extension/android/benchmark/gradle.properties
new file mode 100644
index 0000000000..a03b354896
--- /dev/null
+++ b/extension/android/benchmark/gradle.properties
@@ -0,0 +1,21 @@
+# Project-wide Gradle settings.
+# IDE (e.g. Android Studio) users:
+# Gradle settings configured through the IDE *will override*
+# any settings specified in this file.
+# For more details on how to configure your build environment visit
+# http://www.gradle.org/docs/current/userguide/build_environment.html
+# Specifies the JVM arguments used for the daemon process.
+# The setting is particularly useful for tweaking memory settings.
+org.gradle.jvmargs=-Xmx2048m -Dfile.encoding=UTF-8
+# When configured, Gradle will run in incubating parallel mode.
+# This option should only be used with decoupled projects. More details, visit
+# http://www.gradle.org/docs/current/userguide/multi_project_builds.html#sec:decoupled_projects
+# org.gradle.parallel=true
+# AndroidX package structure to make it clearer which packages are bundled with the
+# Android operating system, and which are packaged with your app's APK
+# https://developer.android.com/topic/libraries/support-library/androidx-rn
+android.useAndroidX=true
+# Enables namespacing of each library's R class so that its R class includes only the
+# resources declared in the library itself and none from the library's dependencies,
+# thereby reducing the size of the R class for that library
+android.nonTransitiveRClass=true
diff --git a/extension/android/benchmark/gradle/wrapper/gradle-wrapper.jar b/extension/android/benchmark/gradle/wrapper/gradle-wrapper.jar
new file mode 100644
index 0000000000..e708b1c023
Binary files /dev/null and b/extension/android/benchmark/gradle/wrapper/gradle-wrapper.jar differ
diff --git a/extension/android/benchmark/gradle/wrapper/gradle-wrapper.properties b/extension/android/benchmark/gradle/wrapper/gradle-wrapper.properties
new file mode 100644
index 0000000000..ba68b6be2f
--- /dev/null
+++ b/extension/android/benchmark/gradle/wrapper/gradle-wrapper.properties
@@ -0,0 +1,6 @@
+#Thu Aug 29 23:29:08 PDT 2024
+distributionBase=GRADLE_USER_HOME
+distributionPath=wrapper/dists
+distributionUrl=https\://services.gradle.org/distributions/gradle-8.2-bin.zip
+zipStoreBase=GRADLE_USER_HOME
+zipStorePath=wrapper/dists
diff --git a/extension/android/benchmark/gradlew b/extension/android/benchmark/gradlew
new file mode 100755
index 0000000000..4f906e0c81
--- /dev/null
+++ b/extension/android/benchmark/gradlew
@@ -0,0 +1,185 @@
+#!/usr/bin/env sh
+
+#
+# Copyright 2015 the original author or authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+##############################################################################
+##
+##  Gradle start up script for UN*X
+##
+##############################################################################
+
+# Attempt to set APP_HOME
+# Resolve links: $0 may be a link
+PRG="$0"
+# Need this for relative symlinks.
+while [ -h "$PRG" ] ; do
+    ls=`ls -ld "$PRG"`
+    link=`expr "$ls" : '.*-> \(.*\)$'`
+    if expr "$link" : '/.*' > /dev/null; then
+        PRG="$link"
+    else
+        PRG=`dirname "$PRG"`"/$link"
+    fi
+done
+SAVED="`pwd`"
+cd "`dirname \"$PRG\"`/" >/dev/null
+APP_HOME="`pwd -P`"
+cd "$SAVED" >/dev/null
+
+APP_NAME="Gradle"
+APP_BASE_NAME=`basename "$0"`
+
+# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
+DEFAULT_JVM_OPTS='"-Xmx64m" "-Xms64m"'
+
+# Use the maximum available, or set MAX_FD != -1 to use that value.
+MAX_FD="maximum"
+
+warn () {
+    echo "$*"
+}
+
+die () {
+    echo
+    echo "$*"
+    echo
+    exit 1
+}
+
+# OS specific support (must be 'true' or 'false').
+cygwin=false
+msys=false
+darwin=false
+nonstop=false
+case "`uname`" in
+  CYGWIN* )
+    cygwin=true
+    ;;
+  Darwin* )
+    darwin=true
+    ;;
+  MINGW* )
+    msys=true
+    ;;
+  NONSTOP* )
+    nonstop=true
+    ;;
+esac
+
+CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar
+
+
+# Determine the Java command to use to start the JVM.
+if [ -n "$JAVA_HOME" ] ; then
+    if [ -x "$JAVA_HOME/jre/sh/java" ] ; then
+        # IBM's JDK on AIX uses strange locations for the executables
+        JAVACMD="$JAVA_HOME/jre/sh/java"
+    else
+        JAVACMD="$JAVA_HOME/bin/java"
+    fi
+    if [ ! -x "$JAVACMD" ] ; then
+        die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME
+
+Please set the JAVA_HOME variable in your environment to match the
+location of your Java installation."
+    fi
+else
+    JAVACMD="java"
+    which java >/dev/null 2>&1 || die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
+
+Please set the JAVA_HOME variable in your environment to match the
+location of your Java installation."
+fi
+
+# Increase the maximum file descriptors if we can.
+if [ "$cygwin" = "false" -a "$darwin" = "false" -a "$nonstop" = "false" ] ; then
+    MAX_FD_LIMIT=`ulimit -H -n`
+    if [ $? -eq 0 ] ; then
+        if [ "$MAX_FD" = "maximum" -o "$MAX_FD" = "max" ] ; then
+            MAX_FD="$MAX_FD_LIMIT"
+        fi
+        ulimit -n $MAX_FD
+        if [ $? -ne 0 ] ; then
+            warn "Could not set maximum file descriptor limit: $MAX_FD"
+        fi
+    else
+        warn "Could not query maximum file descriptor limit: $MAX_FD_LIMIT"
+    fi
+fi
+
+# For Darwin, add options to specify how the application appears in the dock
+if $darwin; then
+    GRADLE_OPTS="$GRADLE_OPTS \"-Xdock:name=$APP_NAME\" \"-Xdock:icon=$APP_HOME/media/gradle.icns\""
+fi
+
+# For Cygwin or MSYS, switch paths to Windows format before running java
+if [ "$cygwin" = "true" -o "$msys" = "true" ] ; then
+    APP_HOME=`cygpath --path --mixed "$APP_HOME"`
+    CLASSPATH=`cygpath --path --mixed "$CLASSPATH"`
+
+    JAVACMD=`cygpath --unix "$JAVACMD"`
+
+    # We build the pattern for arguments to be converted via cygpath
+    ROOTDIRSRAW=`find -L / -maxdepth 1 -mindepth 1 -type d 2>/dev/null`
+    SEP=""
+    for dir in $ROOTDIRSRAW ; do
+        ROOTDIRS="$ROOTDIRS$SEP$dir"
+        SEP="|"
+    done
+    OURCYGPATTERN="(^($ROOTDIRS))"
+    # Add a user-defined pattern to the cygpath arguments
+    if [ "$GRADLE_CYGPATTERN" != "" ] ; then
+        OURCYGPATTERN="$OURCYGPATTERN|($GRADLE_CYGPATTERN)"
+    fi
+    # Now convert the arguments - kludge to limit ourselves to /bin/sh
+    i=0
+    for arg in "$@" ; do
+        CHECK=`echo "$arg"|egrep -c "$OURCYGPATTERN" -`
+        CHECK2=`echo "$arg"|egrep -c "^-"`                                 ### Determine if an option
+
+        if [ $CHECK -ne 0 ] && [ $CHECK2 -eq 0 ] ; then                    ### Added a condition
+            eval `echo args$i`=`cygpath --path --ignore --mixed "$arg"`
+        else
+            eval `echo args$i`="\"$arg\""
+        fi
+        i=`expr $i + 1`
+    done
+    case $i in
+        0) set -- ;;
+        1) set -- "$args0" ;;
+        2) set -- "$args0" "$args1" ;;
+        3) set -- "$args0" "$args1" "$args2" ;;
+        4) set -- "$args0" "$args1" "$args2" "$args3" ;;
+        5) set -- "$args0" "$args1" "$args2" "$args3" "$args4" ;;
+        6) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" ;;
+        7) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" ;;
+        8) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" ;;
+        9) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" "$args8" ;;
+    esac
+fi
+
+# Escape application args
+save () {
+    for i do printf %s\\n "$i" | sed "s/'/'\\\\''/g;1s/^/'/;\$s/\$/' \\\\/" ; done
+    echo " "
+}
+APP_ARGS=`save "$@"`
+
+# Collect all arguments for the java command, following the shell quoting and substitution rules
+eval set -- $DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS "\"-Dorg.gradle.appname=$APP_BASE_NAME\"" -classpath "\"$CLASSPATH\"" org.gradle.wrapper.GradleWrapperMain "$APP_ARGS"
+
+exec "$JAVACMD" "$@"
diff --git a/extension/android/benchmark/gradlew.bat b/extension/android/benchmark/gradlew.bat
new file mode 100644
index 0000000000..ac1b06f938
--- /dev/null
+++ b/extension/android/benchmark/gradlew.bat
@@ -0,0 +1,89 @@
+@rem
+@rem Copyright 2015 the original author or authors.
+@rem
+@rem Licensed under the Apache License, Version 2.0 (the "License");
+@rem you may not use this file except in compliance with the License.
+@rem You may obtain a copy of the License at
+@rem
+@rem      https://www.apache.org/licenses/LICENSE-2.0
+@rem
+@rem Unless required by applicable law or agreed to in writing, software
+@rem distributed under the License is distributed on an "AS IS" BASIS,
+@rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+@rem See the License for the specific language governing permissions and
+@rem limitations under the License.
+@rem
+
+@if "%DEBUG%" == "" @echo off
+@rem ##########################################################################
+@rem
+@rem  Gradle startup script for Windows
+@rem
+@rem ##########################################################################
+
+@rem Set local scope for the variables with windows NT shell
+if "%OS%"=="Windows_NT" setlocal
+
+set DIRNAME=%~dp0
+if "%DIRNAME%" == "" set DIRNAME=.
+set APP_BASE_NAME=%~n0
+set APP_HOME=%DIRNAME%
+
+@rem Resolve any "." and ".." in APP_HOME to make it shorter.
+for %%i in ("%APP_HOME%") do set APP_HOME=%%~fi
+
+@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
+set DEFAULT_JVM_OPTS="-Xmx64m" "-Xms64m"
+
+@rem Find java.exe
+if defined JAVA_HOME goto findJavaFromJavaHome
+
+set JAVA_EXE=java.exe
+%JAVA_EXE% -version >NUL 2>&1
+if "%ERRORLEVEL%" == "0" goto execute
+
+echo.
+echo ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
+echo.
+echo Please set the JAVA_HOME variable in your environment to match the
+echo location of your Java installation.
+
+goto fail
+
+:findJavaFromJavaHome
+set JAVA_HOME=%JAVA_HOME:"=%
+set JAVA_EXE=%JAVA_HOME%/bin/java.exe
+
+if exist "%JAVA_EXE%" goto execute
+
+echo.
+echo ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME%
+echo.
+echo Please set the JAVA_HOME variable in your environment to match the
+echo location of your Java installation.
+
+goto fail
+
+:execute
+@rem Setup the command line
+
+set CLASSPATH=%APP_HOME%\gradle\wrapper\gradle-wrapper.jar
+
+
+@rem Execute Gradle
+"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -classpath "%CLASSPATH%" org.gradle.wrapper.GradleWrapperMain %*
+
+:end
+@rem End local scope for the variables with windows NT shell
+if "%ERRORLEVEL%"=="0" goto mainEnd
+
+:fail
+rem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of
+rem the _cmd.exe /c_ return code!
+if  not "" == "%GRADLE_EXIT_CONSOLE%" exit 1
+exit /b 1
+
+:mainEnd
+if "%OS%"=="Windows_NT" endlocal
+
+:omega
diff --git a/extension/android/benchmark/settings.gradle.kts b/extension/android/benchmark/settings.gradle.kts
new file mode 100644
index 0000000000..4afd7e2d38
--- /dev/null
+++ b/extension/android/benchmark/settings.gradle.kts
@@ -0,0 +1,27 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+pluginManagement {
+  repositories {
+    google()
+    mavenCentral()
+    gradlePluginPortal()
+  }
+}
+
+dependencyResolutionManagement {
+  repositoriesMode.set(RepositoriesMode.FAIL_ON_PROJECT_REPOS)
+  repositories {
+    google()
+    mavenCentral()
+  }
+}
+
+rootProject.name = "MiniBench"
+
+include(":app")
diff --git a/extension/android/jni/BUCK b/extension/android/jni/BUCK
new file mode 100644
index 0000000000..3c8f00b2bd
--- /dev/null
+++ b/extension/android/jni/BUCK
@@ -0,0 +1,100 @@
+load("@fbsource//tools/build_defs/android:fb_android_cxx_library.bzl", "fb_android_cxx_library")
+load("@fbsource//xplat/executorch/codegen:codegen.bzl", "executorch_generated_lib")
+
+oncall("executorch")
+
+executorch_generated_lib(
+    name = "generated_op_lib_optimized",
+    custom_ops_aten_kernel_deps = [
+        "//executorch/kernels/portable:operators_aten",
+    ],
+    custom_ops_yaml_target = "//executorch/kernels/portable:custom_ops.yaml",
+    define_static_targets = True,
+    fallback_yaml_target = "//executorch/kernels/portable:functions.yaml",
+    functions_yaml_target = "//executorch/kernels/optimized:optimized.yaml",
+    visibility = ["PUBLIC"],
+    deps = [
+        "//executorch/kernels/optimized:optimized_operators",
+        "//executorch/kernels/optimized:optimized_oplist",
+        "//executorch/kernels/portable:executorch_aten_ops",
+        "//executorch/kernels/portable:executorch_custom_ops",
+        "//executorch/kernels/portable:operators",
+    ],
+)
+
+fb_android_cxx_library(
+    name = "executorch_jni",
+    srcs = ["jni_layer.cpp"],
+    headers = ["jni_layer_constants.h"],
+    allow_jni_merging = False,
+    compiler_flags = [
+        "-frtti",
+        "-fexceptions",
+        "-Wno-unused-variable",
+    ],
+    soname = "libexecutorch.$(ext)",
+    visibility = ["PUBLIC"],
+    deps = [
+        "//fbandroid/libraries/fbjni:fbjni",
+        "//fbandroid/native/fb:fb",
+        "//third-party/glog:glog",
+        "//xplat/executorch/extension/module:module_static",
+        "//xplat/executorch/extension/runner_util:inputs_static",
+        "//xplat/executorch/extension/tensor:tensor_static",
+    ],
+)
+
+fb_android_cxx_library(
+    name = "executorch_jni_full",
+    srcs = ["jni_layer.cpp"],
+    headers = ["jni_layer_constants.h"],
+    allow_jni_merging = False,
+    compiler_flags = [
+        "-frtti",
+        "-fexceptions",
+        "-Wno-unused-variable",
+    ],
+    soname = "libexecutorch.$(ext)",
+    visibility = ["PUBLIC"],
+    deps = [
+        ":generated_op_lib_optimized_static",
+        "//fbandroid/libraries/fbjni:fbjni",
+        "//fbandroid/native/fb:fb",
+        "//third-party/glog:glog",
+        "//xplat/executorch/backends/xnnpack:xnnpack_backend_static",
+        "//xplat/executorch/extension/module:module_static",
+        "//xplat/executorch/extension/runner_util:inputs_static",
+        "//xplat/executorch/extension/tensor:tensor_static",
+    ],
+)
+
+fb_android_cxx_library(
+    name = "executorch_llama_jni",
+    srcs = [
+        "jni_layer.cpp",
+        "jni_layer_llama.cpp",
+    ],
+    headers = ["jni_layer_constants.h"],
+    allow_jni_merging = False,
+    compiler_flags = [
+        "-frtti",
+        "-fexceptions",
+        "-DEXECUTORCH_BUILD_LLAMA_JNI",
+        "-Wno-format",
+    ],
+    soname = "libexecutorch.$(ext)",
+    visibility = ["PUBLIC"],
+    deps = [
+        "//fbandroid/libraries/fbjni:fbjni",
+        "//fbandroid/native/fb:fb",
+        "//third-party/glog:glog",
+        "//xplat/executorch/backends/xnnpack:xnnpack_backend_static",
+        "//xplat/executorch/examples/models/llama2/runner:runner_static",
+        "//xplat/executorch/examples/models/llava/runner:runner_static",
+        "//xplat/executorch/extension/module:module_static",
+        "//xplat/executorch/extension/runner_util:inputs_static",
+        "//xplat/executorch/extension/tensor:tensor_static",
+        "//xplat/executorch/extension/threadpool:cpuinfo_utils_static",
+        "//xplat/executorch/extension/threadpool:threadpool_static",
+    ],
+)
diff --git a/extension/android/jni/jni_layer.cpp b/extension/android/jni/jni_layer.cpp
index 05bd6651d8..1ef81b20b0 100644
--- a/extension/android/jni/jni_layer.cpp
+++ b/extension/android/jni/jni_layer.cpp
@@ -18,7 +18,8 @@
 #include "jni_layer_constants.h"
 
 #include <executorch/extension/module/module.h>
-#include <executorch/extension/runner_util/managed_tensor.h>
+#include <executorch/extension/runner_util/inputs.h>
+#include <executorch/extension/tensor/tensor.h>
 #include <executorch/runtime/core/portable_type/tensor_impl.h>
 #include <executorch/runtime/platform/log.h>
 #include <executorch/runtime/platform/platform.h>
@@ -54,9 +55,10 @@ void et_pal_emit_log_message(
 }
 #endif
 
+using namespace executorch::extension;
 using namespace torch::executor;
 
-namespace executorch_jni {
+namespace executorch::extension {
 class TensorHybrid : public facebook::jni::HybridClass<TensorHybrid> {
  public:
   constexpr static const char* kJavaDescriptor =
@@ -166,7 +168,7 @@ class JEValue : public facebook::jni::JavaClass<JEValue> {
         evalue.tag);
   }
 
-  static ManagedTensor JEValueToTensorImpl(
+  static TensorPtr JEValueToTensorImpl(
       facebook::jni::alias_ref<JEValue> JEValue) {
     static const auto typeCodeField =
         JEValue::javaClassStatic()->getField<jint>("mTypeCode");
@@ -220,7 +222,7 @@ class JEValue : public facebook::jni::JavaClass<JEValue> {
             numel,
             dataCapacity);
       }
-      return ManagedTensor(
+      return from_blob(
           jni->GetDirectBufferAddress(jbuffer.get()), shape_vec, scalar_type);
     }
     facebook::jni::throwNewJavaException(
@@ -243,17 +245,29 @@ class ExecuTorchJni : public facebook::jni::HybridClass<ExecuTorchJni> {
       facebook::jni::alias_ref<jstring> modelPath,
       facebook::jni::alias_ref<
           facebook::jni::JMap<facebook::jni::JString, facebook::jni::JString>>
-          extraFiles) {
-    return makeCxxInstance(modelPath, extraFiles);
+          extraFiles,
+      jint loadMode) {
+    return makeCxxInstance(modelPath, extraFiles, loadMode);
   }
 
   ExecuTorchJni(
       facebook::jni::alias_ref<jstring> modelPath,
       facebook::jni::alias_ref<
           facebook::jni::JMap<facebook::jni::JString, facebook::jni::JString>>
-          extraFiles) {
-    module_ = std::make_unique<Module>(
-        modelPath->toStdString(), Module::LoadMode::Mmap);
+          extraFiles,
+      jint loadMode) {
+    Module::LoadMode load_mode = Module::LoadMode::Mmap;
+    if (loadMode == 0) {
+      load_mode = Module::LoadMode::File;
+    } else if (loadMode == 1) {
+      load_mode = Module::LoadMode::Mmap;
+    } else if (loadMode == 2) {
+      load_mode = Module::LoadMode::MmapUseMlock;
+    } else if (loadMode == 3) {
+      load_mode = Module::LoadMode::MmapUseMlockIgnoreErrors;
+    }
+
+    module_ = std::make_unique<Module>(modelPath->toStdString(), load_mode);
   }
 
   facebook::jni::local_ref<facebook::jni::JArrayClass<JEValue>> forward(
@@ -280,9 +294,31 @@ class ExecuTorchJni : public facebook::jni::HybridClass<ExecuTorchJni> {
       facebook::jni::alias_ref<
           facebook::jni::JArrayClass<JEValue::javaobject>::javaobject>
           jinputs) {
-    std::vector<EValue> evalues = {};
+    // If no inputs is given, it will run with sample inputs (ones)
+    if (jinputs->size() == 0) {
+      if (module_->load_method(method) != Error::Ok) {
+        return {};
+      }
+      auto&& underlying_method = module_->methods_[method].method;
+      auto&& buf = prepare_input_tensors(*underlying_method);
+      auto result = underlying_method->execute();
+      if (result != Error::Ok) {
+        return {};
+      }
+      facebook::jni::local_ref<facebook::jni::JArrayClass<JEValue>> jresult =
+          facebook::jni::JArrayClass<JEValue>::newArray(
+              underlying_method->outputs_size());
+
+      for (int i = 0; i < underlying_method->outputs_size(); i++) {
+        auto jevalue =
+            JEValue::newJEValueFromEValue(underlying_method->get_output(i));
+        jresult->setElement(i, *jevalue);
+      }
+      return jresult;
+    }
 
-    std::vector<ManagedTensor> managed_tensors = {};
+    std::vector<EValue> evalues;
+    std::vector<TensorPtr> tensors;
 
     static const auto typeCodeField =
         JEValue::javaClassStatic()->getField<jint>("mTypeCode");
@@ -291,18 +327,17 @@ class ExecuTorchJni : public facebook::jni::HybridClass<ExecuTorchJni> {
       auto jevalue = jinputs->getElement(i);
       const auto typeCode = jevalue->getFieldValue(typeCodeField);
       if (typeCode == JEValue::kTypeCodeTensor) {
-        managed_tensors.emplace_back(JEValue::JEValueToTensorImpl(jevalue));
-        evalues.emplace_back(
-            EValue(managed_tensors.back().get_aliasing_tensor()));
+        tensors.emplace_back(JEValue::JEValueToTensorImpl(jevalue));
+        evalues.emplace_back(tensors.back());
       } else if (typeCode == JEValue::kTypeCodeInt) {
         int64_t value = jevalue->getFieldValue(typeCodeField);
-        evalues.emplace_back(EValue(value));
+        evalues.emplace_back(value);
       } else if (typeCode == JEValue::kTypeCodeDouble) {
         double value = jevalue->getFieldValue(typeCodeField);
-        evalues.emplace_back(EValue(value));
+        evalues.emplace_back(value);
       } else if (typeCode == JEValue::kTypeCodeBool) {
         bool value = jevalue->getFieldValue(typeCodeField);
-        evalues.emplace_back(EValue(value));
+        evalues.emplace_back(value);
       }
     }
 
@@ -349,10 +384,17 @@ class ExecuTorchJni : public facebook::jni::HybridClass<ExecuTorchJni> {
     });
   }
 };
+} // namespace executorch::extension
 
-} // namespace executorch_jni
-
+#ifdef EXECUTORCH_BUILD_LLAMA_JNI
+extern void register_natives_for_llama();
+#else
+// No op if we don't build llama
+void register_natives_for_llama() {}
+#endif
 JNIEXPORT jint JNICALL JNI_OnLoad(JavaVM* vm, void*) {
-  return facebook::jni::initialize(
-      vm, [] { executorch_jni::ExecuTorchJni::registerNatives(); });
+  return facebook::jni::initialize(vm, [] {
+    executorch::extension::ExecuTorchJni::registerNatives();
+    register_natives_for_llama();
+  });
 }
diff --git a/extension/android/jni/jni_layer_constants.h b/extension/android/jni/jni_layer_constants.h
index ac52b3a650..b710dbe8e0 100644
--- a/extension/android/jni/jni_layer_constants.h
+++ b/extension/android/jni/jni_layer_constants.h
@@ -8,9 +8,9 @@
 
 #include <unordered_map>
 
-#include <executorch/runtime/core/portable_type/scalar_type.h>
+#include <executorch/runtime/core/exec_aten/exec_aten.h>
 
-namespace executorch_jni {
+namespace executorch::extension {
 
 constexpr static int kTensorDTypeUInt8 = 0;
 constexpr static int kTensorDTypeInt8 = 1;
@@ -37,7 +37,7 @@ constexpr static int kTensorDTypeBits4x2 = 20;
 constexpr static int kTensorDTypeBits8 = 21;
 constexpr static int kTensorDTypeBits16 = 22;
 
-using torch::executor::ScalarType;
+using exec_aten::ScalarType;
 
 const std::unordered_map<ScalarType, int> scalar_type_to_java_dtype = {
     {ScalarType::Byte, kTensorDTypeUInt8},
@@ -93,4 +93,4 @@ const std::unordered_map<int, ScalarType> java_dtype_to_scalar_type = {
     {kTensorDTypeBits16, ScalarType::Bits16},
 };
 
-} // namespace executorch_jni
+} // namespace executorch::extension
diff --git a/extension/android/jni/jni_layer_llama.cpp b/extension/android/jni/jni_layer_llama.cpp
index b4fe80f022..de585beafd 100644
--- a/extension/android/jni/jni_layer_llama.cpp
+++ b/extension/android/jni/jni_layer_llama.cpp
@@ -16,46 +16,22 @@
 #include <vector>
 
 #include <executorch/examples/models/llama2/runner/runner.h>
+#include <executorch/examples/models/llava/runner/llava_runner.h>
+#include <executorch/extension/llm/runner/image.h>
 #include <executorch/runtime/platform/log.h>
 #include <executorch/runtime/platform/platform.h>
 #include <executorch/runtime/platform/runtime.h>
 
 #if defined(ET_USE_THREADPOOL)
-#include <executorch/backends/xnnpack/threadpool/cpuinfo_utils.h>
-#include <executorch/backends/xnnpack/threadpool/threadpool.h>
+#include <executorch/extension/threadpool/cpuinfo_utils.h>
+#include <executorch/extension/threadpool/threadpool.h>
 #endif
 
 #include <fbjni/ByteBuffer.h>
 #include <fbjni/fbjni.h>
 
-#ifdef __ANDROID__
-#include <android/log.h>
-
-// For Android, write to logcat
-void et_pal_emit_log_message(
-    et_timestamp_t timestamp,
-    et_pal_log_level_t level,
-    const char* filename,
-    const char* function,
-    size_t line,
-    const char* message,
-    size_t length) {
-  int android_log_level = ANDROID_LOG_UNKNOWN;
-  if (level == 'D') {
-    android_log_level = ANDROID_LOG_DEBUG;
-  } else if (level == 'I') {
-    android_log_level = ANDROID_LOG_INFO;
-  } else if (level == 'E') {
-    android_log_level = ANDROID_LOG_ERROR;
-  } else if (level == 'F') {
-    android_log_level = ANDROID_LOG_FATAL;
-  }
-
-  __android_log_print(android_log_level, "LLAMA", "%s", message);
-}
-#endif
-
-using namespace torch::executor;
+namespace llm = ::executorch::extension::llm;
+using ::executorch::runtime::Error;
 
 namespace executorch_jni {
 
@@ -73,7 +49,7 @@ class ExecuTorchLlamaCallbackJni
     method(self(), s);
   }
 
-  void onStats(const Runner::Stats& result) const {
+  void onStats(const llm::Stats& result) const {
     static auto cls = ExecuTorchLlamaCallbackJni::javaClassStatic();
     static const auto method = cls->getMethod<void(jfloat)>("onStats");
     double eval_time =
@@ -90,21 +66,29 @@ class ExecuTorchLlamaJni
     : public facebook::jni::HybridClass<ExecuTorchLlamaJni> {
  private:
   friend HybridBase;
-  std::unique_ptr<Runner> runner_;
+  int model_type_category_;
+  std::unique_ptr<example::Runner> runner_;
+  std::unique_ptr<llm::MultimodalRunner> multi_modal_runner_;
 
  public:
   constexpr static auto kJavaDescriptor =
       "Lorg/pytorch/executorch/LlamaModule;";
 
+  constexpr static int MODEL_TYPE_CATEGORY_LLM = 1;
+  constexpr static int MODEL_TYPE_CATEGORY_MULTIMODAL = 2;
+
   static facebook::jni::local_ref<jhybriddata> initHybrid(
       facebook::jni::alias_ref<jclass>,
+      jint model_type_category,
       facebook::jni::alias_ref<jstring> model_path,
       facebook::jni::alias_ref<jstring> tokenizer_path,
       jfloat temperature) {
-    return makeCxxInstance(model_path, tokenizer_path, temperature);
+    return makeCxxInstance(
+        model_type_category, model_path, tokenizer_path, temperature);
   }
 
   ExecuTorchLlamaJni(
+      jint model_type_category,
       facebook::jni::alias_ref<jstring> model_path,
       facebook::jni::alias_ref<jstring> tokenizer_path,
       jfloat temperature) {
@@ -119,29 +103,155 @@ class ExecuTorchLlamaJni
     }
 #endif
 
-    runner_ = std::make_unique<Runner>(
-        model_path->toStdString().c_str(),
-        tokenizer_path->toStdString().c_str(),
-        temperature);
+    model_type_category_ = model_type_category;
+    if (model_type_category == MODEL_TYPE_CATEGORY_MULTIMODAL) {
+      multi_modal_runner_ = std::make_unique<example::LlavaRunner>(
+          model_path->toStdString().c_str(),
+          tokenizer_path->toStdString().c_str(),
+          temperature);
+    } else if (model_type_category == MODEL_TYPE_CATEGORY_LLM) {
+      runner_ = std::make_unique<example::Runner>(
+          model_path->toStdString().c_str(),
+          tokenizer_path->toStdString().c_str(),
+          temperature);
+    }
   }
 
   jint generate(
+      facebook::jni::alias_ref<jintArray> image,
+      jint width,
+      jint height,
+      jint channels,
       facebook::jni::alias_ref<jstring> prompt,
-      facebook::jni::alias_ref<ExecuTorchLlamaCallbackJni> callback) {
-    runner_->generate(
-        prompt->toStdString(),
-        128,
-        [callback](std::string result) { callback->onResult(result); },
-        [callback](const Runner::Stats& result) { callback->onStats(result); });
+      jint seq_len,
+      facebook::jni::alias_ref<ExecuTorchLlamaCallbackJni> callback,
+      jboolean echo) {
+    if (model_type_category_ == MODEL_TYPE_CATEGORY_MULTIMODAL) {
+      auto image_size = image->size();
+      std::vector<llm::Image> images;
+      if (image_size != 0) {
+        std::vector<jint> image_data_jint(image_size);
+        std::vector<uint8_t> image_data(image_size);
+        image->getRegion(0, image_size, image_data_jint.data());
+        for (int i = 0; i < image_size; i++) {
+          image_data[i] = image_data_jint[i];
+        }
+        llm::Image image_runner{image_data, width, height, channels};
+        images.push_back(image_runner);
+      }
+      multi_modal_runner_->generate(
+          std::move(images),
+          prompt->toStdString(),
+          seq_len,
+          [callback](std::string result) { callback->onResult(result); },
+          [callback](const llm::Stats& result) { callback->onStats(result); },
+          echo);
+    } else if (model_type_category_ == MODEL_TYPE_CATEGORY_LLM) {
+      runner_->generate(
+          prompt->toStdString(),
+          seq_len,
+          [callback](std::string result) { callback->onResult(result); },
+          [callback](const llm::Stats& result) { callback->onStats(result); },
+          echo);
+    }
     return 0;
   }
 
+  // Returns a tuple of (error, start_pos)
+  // Contract is valid within an AAR (JNI + corresponding Java code)
+  // If the first element is not Error::Ok, the other element is undefined.
+  facebook::jni::local_ref<jlongArray> prefill_prompt(
+      facebook::jni::alias_ref<jstring> prompt,
+      jlong start_pos,
+      jint bos,
+      jint eos) {
+    facebook::jni::local_ref<jlongArray> tuple_result =
+        facebook::jni::make_long_array(2);
+    if (model_type_category_ != MODEL_TYPE_CATEGORY_MULTIMODAL) {
+      tuple_result->pin()[0] = static_cast<jint>(Error::NotSupported);
+      return tuple_result;
+    }
+
+    auto&& result = multi_modal_runner_->prefill_prompt(
+        prompt->toStdString(), start_pos, bos, eos);
+    tuple_result->pin()[0] = static_cast<jint>(Error::Ok);
+    if (result.ok()) {
+      tuple_result->pin()[1] = static_cast<jlong>(start_pos);
+    }
+    return tuple_result;
+  }
+
+  // Returns a tuple of (error, start_pos)
+  // Contract is valid within an AAR (JNI + corresponding Java code)
+  // If the first element is not Error::Ok, the other element is undefined.
+
+  facebook::jni::local_ref<jlongArray> prefill_images(
+      facebook::jni::alias_ref<jintArray> image,
+      jint width,
+      jint height,
+      jint channels,
+      jlong start_pos) {
+    facebook::jni::local_ref<jlongArray> tuple_result =
+        facebook::jni::make_long_array(2);
+
+    if (model_type_category_ != MODEL_TYPE_CATEGORY_MULTIMODAL) {
+      tuple_result->pin()[0] = static_cast<jint>(Error::NotSupported);
+      return tuple_result;
+    }
+
+    auto image_size = image->size();
+    std::vector<llm::Image> images;
+    if (image_size != 0) {
+      std::vector<jint> image_data_jint(image_size);
+      std::vector<uint8_t> image_data(image_size);
+      image->getRegion(0, image_size, image_data_jint.data());
+      for (int i = 0; i < image_size; i++) {
+        image_data[i] = image_data_jint[i];
+      }
+      llm::Image image_runner{image_data, width, height, channels};
+      images.push_back(image_runner);
+    }
+    // TODO(hsz): make  start_pos a reference and update it here
+    jint result = static_cast<jint>(
+        multi_modal_runner_->prefill_images(images, start_pos));
+    tuple_result->pin()[0] = result;
+    tuple_result->pin()[1] = static_cast<jlong>(start_pos);
+    return tuple_result;
+  }
+
+  jint generate_from_pos(
+      facebook::jni::alias_ref<jstring> prompt,
+      jint seq_len,
+      jlong start_pos,
+      facebook::jni::alias_ref<ExecuTorchLlamaCallbackJni> callback,
+      jboolean echo) {
+    if (model_type_category_ != MODEL_TYPE_CATEGORY_MULTIMODAL) {
+      return static_cast<jint>(Error::NotSupported);
+    }
+    return static_cast<jint>(multi_modal_runner_->generate_from_pos(
+        prompt->toStdString(),
+        seq_len,
+        start_pos,
+        [callback](const std::string& result) { callback->onResult(result); },
+        [callback](const llm::Stats& stats) { callback->onStats(stats); },
+        echo));
+  }
+
   void stop() {
-    runner_->stop();
+    if (model_type_category_ == MODEL_TYPE_CATEGORY_MULTIMODAL) {
+      multi_modal_runner_->stop();
+    } else if (model_type_category_ == MODEL_TYPE_CATEGORY_LLM) {
+      runner_->stop();
+    }
   }
 
   jint load() {
-    return static_cast<jint>(runner_->load());
+    if (model_type_category_ == MODEL_TYPE_CATEGORY_MULTIMODAL) {
+      return static_cast<jint>(multi_modal_runner_->load());
+    } else if (model_type_category_ == MODEL_TYPE_CATEGORY_LLM) {
+      return static_cast<jint>(runner_->load());
+    }
+    return static_cast<jint>(Error::InvalidArgument);
   }
 
   static void registerNatives() {
@@ -150,13 +260,18 @@ class ExecuTorchLlamaJni
         makeNativeMethod("generate", ExecuTorchLlamaJni::generate),
         makeNativeMethod("stop", ExecuTorchLlamaJni::stop),
         makeNativeMethod("load", ExecuTorchLlamaJni::load),
+        makeNativeMethod(
+            "prefillImagesNative", ExecuTorchLlamaJni::prefill_images),
+        makeNativeMethod(
+            "prefillPromptNative", ExecuTorchLlamaJni::prefill_prompt),
+        makeNativeMethod(
+            "generateFromPos", ExecuTorchLlamaJni::generate_from_pos),
     });
   }
 };
 
 } // namespace executorch_jni
 
-JNIEXPORT jint JNICALL JNI_OnLoad(JavaVM* vm, void*) {
-  return facebook::jni::initialize(
-      vm, [] { executorch_jni::ExecuTorchLlamaJni::registerNatives(); });
+void register_natives_for_llama() {
+  executorch_jni::ExecuTorchLlamaJni::registerNatives();
 }
diff --git a/extension/android/src/main/java/org/pytorch/executorch/DType.java b/extension/android/src/main/java/org/pytorch/executorch/DType.java
index 8b3fb42a6a..f5d33d0b71 100644
--- a/extension/android/src/main/java/org/pytorch/executorch/DType.java
+++ b/extension/android/src/main/java/org/pytorch/executorch/DType.java
@@ -8,56 +8,63 @@
 
 package org.pytorch.executorch;
 
-/** Codes representing tensor data types. */
+import org.pytorch.executorch.annotations.Experimental;
+
+/**
+ * Codes representing tensor data types.
+ *
+ * <p>Warning: These APIs are experimental and subject to change without notice
+ */
+@Experimental
 public enum DType {
   // NOTE: "jniCode" must be kept in sync with scalar_type.h.
   // NOTE: Never serialize "jniCode", because it can change between releases.
 
-  /** Code for dtype torch::executor::Byte */
+  /** Code for dtype ScalarType::Byte */
   UINT8(0),
-  /** Code for dtype torch::executor::Char */
+  /** Code for dtype ScalarType::Char */
   INT8(1),
-  /** Code for dtype torch::executor::Short */
+  /** Code for dtype ScalarType::Short */
   INT16(2),
-  /** Code for dtype torch::executor::Int */
+  /** Code for dtype ScalarType::Int */
   INT32(3),
-  /** Code for dtype torch::executor::Long */
+  /** Code for dtype ScalarType::Long */
   INT64(4),
-  /** Code for dtype torch::executor::Half */
+  /** Code for dtype ScalarType::Half */
   HALF(5),
-  /** Code for dtype torch::executor::Float */
+  /** Code for dtype ScalarType::Float */
   FLOAT(6),
-  /** Code for dtype torch::executor::Double */
+  /** Code for dtype ScalarType::Double */
   DOUBLE(7),
-  /** Code for dtype torch::executor::ComplexHalf */
+  /** Code for dtype ScalarType::ComplexHalf */
   COMPLEX_HALF(8),
-  /** Code for dtype torch::executor::ComplexFloat */
+  /** Code for dtype ScalarType::ComplexFloat */
   COMPLEX_FLOAT(9),
-  /** Code for dtype torch::executor::ComplexDouble */
+  /** Code for dtype ScalarType::ComplexDouble */
   COMPLEX_DOUBLE(10),
-  /** Code for dtype torch::executor::Bool */
+  /** Code for dtype ScalarType::Bool */
   BOOL(11),
-  /** Code for dtype torch::executor::QInt8 */
+  /** Code for dtype ScalarType::QInt8 */
   QINT8(12),
-  /** Code for dtype torch::executor::QUInt8 */
+  /** Code for dtype ScalarType::QUInt8 */
   QUINT8(13),
-  /** Code for dtype torch::executor::QInt32 */
+  /** Code for dtype ScalarType::QInt32 */
   QINT32(14),
-  /** Code for dtype torch::executor::BFloat16 */
+  /** Code for dtype ScalarType::BFloat16 */
   BFLOAT16(15),
-  /** Code for dtype torch::executor::QUInt4x2 */
+  /** Code for dtype ScalarType::QUInt4x2 */
   QINT4X2(16),
-  /** Code for dtype torch::executor::QUInt2x4 */
+  /** Code for dtype ScalarType::QUInt2x4 */
   QINT2X4(17),
-  /** Code for dtype torch::executor::Bits1x8 */
+  /** Code for dtype ScalarType::Bits1x8 */
   BITS1X8(18),
-  /** Code for dtype torch::executor::Bits2x4 */
+  /** Code for dtype ScalarType::Bits2x4 */
   BITS2X4(19),
-  /** Code for dtype torch::executor::Bits4x2 */
+  /** Code for dtype ScalarType::Bits4x2 */
   BITS4X2(20),
-  /** Code for dtype torch::executor::Bits8 */
+  /** Code for dtype ScalarType::Bits8 */
   BITS8(21),
-  /** Code for dtype torch::executor::Bits16 */
+  /** Code for dtype ScalarType::Bits16 */
   BITS16(22),
   ;
 
diff --git a/extension/android/src/main/java/org/pytorch/executorch/EValue.java b/extension/android/src/main/java/org/pytorch/executorch/EValue.java
index d9fa2e8b83..0065d80872 100644
--- a/extension/android/src/main/java/org/pytorch/executorch/EValue.java
+++ b/extension/android/src/main/java/org/pytorch/executorch/EValue.java
@@ -11,6 +11,7 @@
 import com.facebook.jni.annotations.DoNotStrip;
 import java.util.Locale;
 import java.util.Optional;
+import org.pytorch.executorch.annotations.Experimental;
 
 /**
  * Java representation of an ExecuTorch value, which is implemented as tagged union that can be one
@@ -27,7 +28,10 @@
  *
  * <p>{@code EValue} objects may retain references to objects passed into their constructors, and
  * may return references to their internal state from {@code toX()}.
+ *
+ * <p>Warning: These APIs are experimental and subject to change without notice
  */
+@Experimental
 @DoNotStrip
 public class EValue {
   private static final int TYPE_CODE_NONE = 0;
diff --git a/extension/android/src/main/java/org/pytorch/executorch/INativePeer.java b/extension/android/src/main/java/org/pytorch/executorch/INativePeer.java
deleted file mode 100644
index 0878f15143..0000000000
--- a/extension/android/src/main/java/org/pytorch/executorch/INativePeer.java
+++ /dev/null
@@ -1,28 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-package org.pytorch.executorch;
-
-/** Interface for the native peer object for entry points to the Module */
-interface INativePeer {
-  /** Clean up the native resources associated with this instance */
-  void resetNative();
-
-  /** Run a "forward" call with the given inputs */
-  EValue[] forward(EValue... inputs);
-
-  /** Run an arbitrary method on the module */
-  EValue[] execute(String methodName, EValue... inputs);
-
-  /**
-   * Load a method on this module.
-   *
-   * @return the Error code if there was an error loading the method
-   */
-  int loadMethod(String methodName);
-}
diff --git a/extension/android/src/main/java/org/pytorch/executorch/LlamaCallback.java b/extension/android/src/main/java/org/pytorch/executorch/LlamaCallback.java
index 33ab928bae..b30fa2515a 100644
--- a/extension/android/src/main/java/org/pytorch/executorch/LlamaCallback.java
+++ b/extension/android/src/main/java/org/pytorch/executorch/LlamaCallback.java
@@ -9,7 +9,15 @@
 package org.pytorch.executorch;
 
 import com.facebook.jni.annotations.DoNotStrip;
+import org.pytorch.executorch.annotations.Experimental;
 
+/**
+ * Callback interface for Llama model. Users can implement this interface to receive the generated
+ * tokens and statistics.
+ *
+ * <p>Warning: These APIs are experimental and subject to change without notice
+ */
+@Experimental
 public interface LlamaCallback {
   /**
    * Called when a new result is available from JNI. Users will keep getting onResult() invocations
diff --git a/extension/android/src/main/java/org/pytorch/executorch/LlamaModule.java b/extension/android/src/main/java/org/pytorch/executorch/LlamaModule.java
index d3a4c3232a..2fe826fc0a 100644
--- a/extension/android/src/main/java/org/pytorch/executorch/LlamaModule.java
+++ b/extension/android/src/main/java/org/pytorch/executorch/LlamaModule.java
@@ -12,24 +12,43 @@
 import com.facebook.jni.annotations.DoNotStrip;
 import com.facebook.soloader.nativeloader.NativeLoader;
 import com.facebook.soloader.nativeloader.SystemDelegate;
+import org.pytorch.executorch.annotations.Experimental;
 
+/**
+ * LlamaModule is a wrapper around the Executorch Llama model. It provides a simple interface to
+ * generate text from the model.
+ *
+ * <p>Warning: These APIs are experimental and subject to change without notice
+ */
+@Experimental
 public class LlamaModule {
+
+  public static final int MODEL_TYPE_TEXT = 1;
+  public static final int MODEL_TYPE_TEXT_VISION = 2;
+
   static {
     if (!NativeLoader.isInitialized()) {
       NativeLoader.init(new SystemDelegate());
     }
-    NativeLoader.loadLibrary("executorch_llama_jni");
+    NativeLoader.loadLibrary("executorch");
   }
 
   private final HybridData mHybridData;
+  private static final int DEFAULT_SEQ_LEN = 128;
+  private static final boolean DEFAULT_ECHO = true;
 
   @DoNotStrip
   private static native HybridData initHybrid(
-      String modulePath, String tokenizerPath, float temperature);
+      int modelType, String modulePath, String tokenizerPath, float temperature);
 
   /** Constructs a LLAMA Module for a model with given path, tokenizer, and temperature. */
   public LlamaModule(String modulePath, String tokenizerPath, float temperature) {
-    mHybridData = initHybrid(modulePath, tokenizerPath, temperature);
+    mHybridData = initHybrid(MODEL_TYPE_TEXT, modulePath, tokenizerPath, temperature);
+  }
+
+  /** Constructs a LLM Module for a model with given path, tokenizer, and temperature. */
+  public LlamaModule(int modelType, String modulePath, String tokenizerPath, float temperature) {
+    mHybridData = initHybrid(modelType, modulePath, tokenizerPath, temperature);
   }
 
   public void resetNative() {
@@ -42,8 +61,124 @@ public void resetNative() {
    * @param prompt Input prompt
    * @param llamaCallback callback object to receive results.
    */
+  public int generate(String prompt, LlamaCallback llamaCallback) {
+    return generate(prompt, DEFAULT_SEQ_LEN, llamaCallback, DEFAULT_ECHO);
+  }
+
+  /**
+   * Start generating tokens from the module.
+   *
+   * @param prompt Input prompt
+   * @param seqLen sequence length
+   * @param llamaCallback callback object to receive results.
+   */
+  public int generate(String prompt, int seqLen, LlamaCallback llamaCallback) {
+    return generate(null, 0, 0, 0, prompt, seqLen, llamaCallback, DEFAULT_ECHO);
+  }
+
+  /**
+   * Start generating tokens from the module.
+   *
+   * @param prompt Input prompt
+   * @param llamaCallback callback object to receive results
+   * @param echo indicate whether to echo the input prompt or not (text completion vs chat)
+   */
+  public int generate(String prompt, LlamaCallback llamaCallback, boolean echo) {
+    return generate(null, 0, 0, 0, prompt, DEFAULT_SEQ_LEN, llamaCallback, echo);
+  }
+
+  /**
+   * Start generating tokens from the module.
+   *
+   * @param prompt Input prompt
+   * @param seqLen sequence length
+   * @param llamaCallback callback object to receive results
+   * @param echo indicate whether to echo the input prompt or not (text completion vs chat)
+   */
+  public int generate(String prompt, int seqLen, LlamaCallback llamaCallback, boolean echo) {
+    return generate(null, 0, 0, 0, prompt, seqLen, llamaCallback, echo);
+  }
+
+  /**
+   * Start generating tokens from the module.
+   *
+   * @param image Input image as a byte array
+   * @param width Input image width
+   * @param height Input image height
+   * @param channels Input image number of channels
+   * @param prompt Input prompt
+   * @param seqLen sequence length
+   * @param llamaCallback callback object to receive results.
+   * @param echo indicate whether to echo the input prompt or not (text completion vs chat)
+   */
   @DoNotStrip
-  public native int generate(String prompt, LlamaCallback llamaCallback);
+  public native int generate(
+      int[] image,
+      int width,
+      int height,
+      int channels,
+      String prompt,
+      int seqLen,
+      LlamaCallback llamaCallback,
+      boolean echo);
+
+  /**
+   * Prefill an LLaVA Module with the given images input.
+   *
+   * @param image Input image as a byte array
+   * @param width Input image width
+   * @param height Input image height
+   * @param channels Input image number of channels
+   * @param startPos The starting position in KV cache of the input in the LLM.
+   * @return The updated starting position in KV cache of the input in the LLM.
+   * @throws RuntimeException if the prefill failed
+   */
+  public long prefillImages(int[] image, int width, int height, int channels, long startPos) {
+    long[] nativeResult = prefillImagesNative(image, width, height, channels, startPos);
+    if (nativeResult[0] != 0) {
+      throw new RuntimeException("Prefill failed with error code: " + nativeResult[0]);
+    }
+    return nativeResult[1];
+  }
+
+  // returns a tuple of (status, updated startPos)
+  private native long[] prefillImagesNative(
+      int[] image, int width, int height, int channels, long startPos);
+
+  /**
+   * Prefill an LLaVA Module with the given text input.
+   *
+   * @param prompt The text prompt to LLaVA.
+   * @param startPos The starting position in KV cache of the input in the LLM. It's passed as
+   *     reference and will be updated inside this function.
+   * @param bos The number of BOS (begin of sequence) token.
+   * @param eos The number of EOS (end of sequence) token.
+   * @return The updated starting position in KV cache of the input in the LLM.
+   * @throws RuntimeException if the prefill failed
+   */
+  public long prefillPrompt(String prompt, long startPos, int bos, int eos) {
+    long[] nativeResult = prefillPromptNative(prompt, startPos, bos, eos);
+    if (nativeResult[0] != 0) {
+      throw new RuntimeException("Prefill failed with error code: " + nativeResult[0]);
+    }
+    return nativeResult[1];
+  }
+
+  // returns a tuple of (status, updated startPos)
+  private native long[] prefillPromptNative(String prompt, long startPos, int bos, int eos);
+
+  /**
+   * Generate tokens from the given prompt, starting from the given position.
+   *
+   * @param prompt The text prompt to LLaVA.
+   * @param seqLen The total sequence length, including the prompt tokens and new tokens.
+   * @param startPos The starting position in KV cache of the input in the LLM.
+   * @param llamaCallback callback object to receive results.
+   * @param echo indicate whether to echo the input prompt or not.
+   * @return The error code.
+   */
+  public native int generateFromPos(
+      String prompt, int seqLen, long startPos, LlamaCallback callback, boolean echo);
 
   /** Stop current generate() before it finishes. */
   @DoNotStrip
diff --git a/extension/android/src/main/java/org/pytorch/executorch/Module.java b/extension/android/src/main/java/org/pytorch/executorch/Module.java
index af4c238ff9..084f1be23f 100644
--- a/extension/android/src/main/java/org/pytorch/executorch/Module.java
+++ b/extension/android/src/main/java/org/pytorch/executorch/Module.java
@@ -11,45 +11,79 @@
 import com.facebook.soloader.nativeloader.NativeLoader;
 import com.facebook.soloader.nativeloader.SystemDelegate;
 import java.util.Map;
+import org.pytorch.executorch.annotations.Experimental;
 
-/** Java wrapper for ExecuTorch Module. */
+/**
+ * Java wrapper for ExecuTorch Module.
+ *
+ * <p>Warning: These APIs are experimental and subject to change without notice
+ */
+@Experimental
 public class Module {
 
-  /** Reference to the INativePeer object of this module. */
-  private INativePeer mNativePeer;
+  /** Load mode for the module. Load the whole file as a buffer. */
+  public static final int LOAD_MODE_FILE = 0;
+
+  /** Load mode for the module. Use mmap to load pages into memory. */
+  public static final int LOAD_MODE_MMAP = 1;
+
+  /** Load mode for the module. Use memory locking and handle errors. */
+  public static final int LOAD_MODE_MMAP_USE_MLOCK = 2;
+
+  /** Load mode for the module. Use memory locking and ignore errors. */
+  public static final int LOAD_MODE_MMAP_USE_MLOCK_IGNORE_ERRORS = 3;
+
+  /** Reference to the NativePeer object of this module. */
+  private NativePeer mNativePeer;
 
   /**
-   * Loads a serialized ExecuTorch module from the specified path on the disk.
+   * Loads a serialized ExecuTorch module from the specified path on the disk. Uses default load
+   * FILE.
    *
    * @param modelPath path to file that contains the serialized ExecuTorch module.
    * @param extraFiles map with extra files names as keys, content of them will be loaded to values.
-   * @return new {@link org.pytorch.executorch.Module} object which owns torch::jit::Module.
+   * @return new {@link org.pytorch.executorch.Module} object which owns the model module.
    */
   public static Module load(final String modelPath, final Map<String, String> extraFiles) {
+    return load(modelPath, extraFiles, LOAD_MODE_FILE);
+  }
+
+  /**
+   * Loads a serialized ExecuTorch module from the specified path on the disk.
+   *
+   * @param modelPath path to file that contains the serialized ExecuTorch module.
+   * @param extraFiles map with extra files names as keys, content of them will be loaded to values.
+   * @param loadMode load mode for the module. See constants in {@link Module}.
+   * @return new {@link org.pytorch.executorch.Module} object which owns the model module.
+   */
+  public static Module load(
+      final String modelPath, final Map<String, String> extraFiles, int loadMode) {
     if (!NativeLoader.isInitialized()) {
       NativeLoader.init(new SystemDelegate());
     }
-    return new Module(new NativePeer(modelPath, extraFiles));
+    return new Module(new NativePeer(modelPath, extraFiles, loadMode));
   }
 
   /**
    * Loads a serialized ExecuTorch module from the specified path on the disk to run on CPU.
    *
    * @param modelPath path to file that contains the serialized ExecuTorch module.
-   * @return new {@link org.pytorch.executorch.Module} object which owns torch::jit::Module.
+   * @return new {@link org.pytorch.executorch.Module} object which owns the model module.
    */
   public static Module load(final String modelPath) {
     return load(modelPath, null);
   }
 
-  Module(INativePeer nativePeer) {
+  Module(NativePeer nativePeer) {
     this.mNativePeer = nativePeer;
   }
 
   /**
    * Runs the 'forward' method of this module with the specified arguments.
    *
-   * @param inputs arguments for the ExecuTorch module's 'forward' method.
+   * @param inputs arguments for the ExecuTorch module's 'forward' method. Note: if method 'forward'
+   *     requires inputs but no inputs are given, the function will not error out, but run 'forward'
+   *     with sample inputs.
    * @return return value from the 'forward' method.
    */
   public EValue[] forward(EValue... inputs) {
diff --git a/extension/android/src/main/java/org/pytorch/executorch/NativePeer.java b/extension/android/src/main/java/org/pytorch/executorch/NativePeer.java
index dc513200d2..6d0078b0b6 100644
--- a/extension/android/src/main/java/org/pytorch/executorch/NativePeer.java
+++ b/extension/android/src/main/java/org/pytorch/executorch/NativePeer.java
@@ -12,8 +12,15 @@
 import com.facebook.jni.annotations.DoNotStrip;
 import com.facebook.soloader.nativeloader.NativeLoader;
 import java.util.Map;
+import org.pytorch.executorch.annotations.Experimental;
 
-class NativePeer implements INativePeer {
+/**
+ * Interface for the native peer object for entry points to the Module
+ *
+ * <p>Warning: These APIs are experimental and subject to change without notice
+ */
+@Experimental
+class NativePeer {
   static {
     // Loads libexecutorch.so from jniLibs
     NativeLoader.loadLibrary("executorch");
@@ -23,22 +30,30 @@ class NativePeer implements INativePeer {
 
   @DoNotStrip
   private static native HybridData initHybrid(
-      String moduleAbsolutePath, Map<String, String> extraFiles);
+      String moduleAbsolutePath, Map<String, String> extraFiles, int loadMode);
 
-  NativePeer(String moduleAbsolutePath, Map<String, String> extraFiles) {
-    mHybridData = initHybrid(moduleAbsolutePath, extraFiles);
+  NativePeer(String moduleAbsolutePath, Map<String, String> extraFiles, int loadMode) {
+    mHybridData = initHybrid(moduleAbsolutePath, extraFiles, loadMode);
   }
 
+  /** Clean up the native resources associated with this instance */
   public void resetNative() {
     mHybridData.resetNative();
   }
 
+  /** Run a "forward" call with the given inputs */
   @DoNotStrip
   public native EValue[] forward(EValue... inputs);
 
+  /** Run an arbitrary method on the module */
   @DoNotStrip
   public native EValue[] execute(String methodName, EValue... inputs);
 
+  /**
+   * Load a method on this module.
+   *
+   * @return the Error code if there was an error loading the method
+   */
   @DoNotStrip
   public native int loadMethod(String methodName);
 }
diff --git a/extension/android/src/main/java/org/pytorch/executorch/Tensor.java b/extension/android/src/main/java/org/pytorch/executorch/Tensor.java
index 0c478b89b3..685110ff9a 100644
--- a/extension/android/src/main/java/org/pytorch/executorch/Tensor.java
+++ b/extension/android/src/main/java/org/pytorch/executorch/Tensor.java
@@ -19,6 +19,7 @@
 import java.nio.LongBuffer;
 import java.util.Arrays;
 import java.util.Locale;
+import org.pytorch.executorch.annotations.Experimental;
 
 /**
  * Representation of an ExecuTorch Tensor. Behavior is similar to PyTorch's tensor objects.
@@ -36,7 +37,10 @@
  * between {@link Module} calls to avoid reallocation. Data retrieved from {@code Tensor} objects
  * may be copied or may be a reference to the {@code Tensor}'s internal data buffer. {@code shape}
  * is always copied.
+ *
+ * <p>Warning: These APIs are experimental and subject to change without notice
  */
+@Experimental
 public abstract class Tensor {
   private static final String ERROR_MSG_DATA_BUFFER_NOT_NULL = "Data buffer must be not null";
   private static final String ERROR_MSG_DATA_ARRAY_NOT_NULL = "Data array must be not null";
diff --git a/extension/android/src/main/java/org/pytorch/executorch/annotations/Experimental.java b/extension/android/src/main/java/org/pytorch/executorch/annotations/Experimental.java
new file mode 100644
index 0000000000..f5f36fc56d
--- /dev/null
+++ b/extension/android/src/main/java/org/pytorch/executorch/annotations/Experimental.java
@@ -0,0 +1,18 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+package org.pytorch.executorch.annotations;
+
+/**
+ * This annotation indicates that an API is experimental and may change or be removed at any time.
+ * It does not provide any guarantees for API stability or backward-compatibility.
+ *
+ * <p>This status is not permanent, and APIs marked with this annotation will need to be either made
+ * more robust or removed in the future.
+ */
+public @interface Experimental {}
diff --git a/extension/apple/Benchmark/App/App.entitlements b/extension/apple/Benchmark/App/App.entitlements
new file mode 100644
index 0000000000..e461e7f22f
--- /dev/null
+++ b/extension/apple/Benchmark/App/App.entitlements
@@ -0,0 +1,12 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
+<plist version="1.0">
+<dict>
+	<key>com.apple.security.app-sandbox</key>
+	<true/>
+	<key>com.apple.security.files.user-selected.read-only</key>
+	<true/>
+	<key>com.apple.developer.kernel.increased-memory-limit</key>
+	<true/>
+</dict>
+</plist>
diff --git a/extension/apple/Benchmark/App/App.swift b/extension/apple/Benchmark/App/App.swift
new file mode 100644
index 0000000000..30fbd221dc
--- /dev/null
+++ b/extension/apple/Benchmark/App/App.swift
@@ -0,0 +1,16 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+import SwiftUI
+
+@main
+struct BenchmarkApp: App {
+  var body: some Scene {
+    WindowGroup {}
+  }
+}
diff --git a/extension/apple/Benchmark/Benchmark.xcodeproj/project.pbxproj b/extension/apple/Benchmark/Benchmark.xcodeproj/project.pbxproj
new file mode 100644
index 0000000000..fb7146aa93
--- /dev/null
+++ b/extension/apple/Benchmark/Benchmark.xcodeproj/project.pbxproj
@@ -0,0 +1,543 @@
+// !$*UTF8*$!
+{
+	archiveVersion = 1;
+	classes = {
+	};
+	objectVersion = 56;
+	objects = {
+
+/* Begin PBXBuildFile section */
+		03B2D3682C8A515A0046936E /* App.swift in Sources */ = {isa = PBXBuildFile; fileRef = 03B2D3672C8A515A0046936E /* App.swift */; };
+		03B2D37A2C8A515C0046936E /* Tests.mm in Sources */ = {isa = PBXBuildFile; fileRef = 03B2D3792C8A515C0046936E /* Tests.mm */; };
+		03C7FA382C8AA3EC00E6E9AE /* Models in Resources */ = {isa = PBXBuildFile; fileRef = 03C7FA322C8AA24200E6E9AE /* Models */; };
+		03DD00A92C8FE44600FE4619 /* backend_coreml.xcframework in Frameworks */ = {isa = PBXBuildFile; fileRef = 03DD00992C8FE44600FE4619 /* backend_coreml.xcframework */; };
+		03DD00AA2C8FE44600FE4619 /* kernels_custom.xcframework in Frameworks */ = {isa = PBXBuildFile; fileRef = 03DD009A2C8FE44600FE4619 /* kernels_custom.xcframework */; };
+		03DD00AF2C8FE44600FE4619 /* kernels_portable.xcframework in Frameworks */ = {isa = PBXBuildFile; fileRef = 03DD009F2C8FE44600FE4619 /* kernels_portable.xcframework */; };
+		03DD00B02C8FE44600FE4619 /* kernels_optimized.xcframework in Frameworks */ = {isa = PBXBuildFile; fileRef = 03DD00A02C8FE44600FE4619 /* kernels_optimized.xcframework */; };
+		03DD00B12C8FE44600FE4619 /* backend_xnnpack.xcframework in Frameworks */ = {isa = PBXBuildFile; fileRef = 03DD00A12C8FE44600FE4619 /* backend_xnnpack.xcframework */; };
+		03DD00B22C8FE44600FE4619 /* backend_mps.xcframework in Frameworks */ = {isa = PBXBuildFile; fileRef = 03DD00A22C8FE44600FE4619 /* backend_mps.xcframework */; };
+		03DD00B32C8FE44600FE4619 /* executorch.xcframework in Frameworks */ = {isa = PBXBuildFile; fileRef = 03DD00A32C8FE44600FE4619 /* executorch.xcframework */; settings = {ATTRIBUTES = (Required, ); }; };
+		03DD00B52C8FE44600FE4619 /* kernels_quantized.xcframework in Frameworks */ = {isa = PBXBuildFile; fileRef = 03DD00A52C8FE44600FE4619 /* kernels_quantized.xcframework */; };
+		03ED6D0F2C8AAFE900F2D6EE /* libsqlite3.0.tbd in Frameworks */ = {isa = PBXBuildFile; fileRef = 03ED6D0E2C8AAFE900F2D6EE /* libsqlite3.0.tbd */; };
+		03ED6D112C8AAFF200F2D6EE /* MetalPerformanceShadersGraph.framework in Frameworks */ = {isa = PBXBuildFile; fileRef = 03ED6D102C8AAFF200F2D6EE /* MetalPerformanceShadersGraph.framework */; };
+		03ED6D132C8AAFF700F2D6EE /* MetalPerformanceShaders.framework in Frameworks */ = {isa = PBXBuildFile; fileRef = 03ED6D122C8AAFF700F2D6EE /* MetalPerformanceShaders.framework */; };
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+		03ED6D172C8AB00500F2D6EE /* CoreML.framework in Frameworks */ = {isa = PBXBuildFile; fileRef = 03ED6D162C8AB00500F2D6EE /* CoreML.framework */; };
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+				IPHONEOS_DEPLOYMENT_TARGET = 17.0;
+				LD_RUNPATH_SEARCH_PATHS = "@executable_path/Frameworks";
+				"LD_RUNPATH_SEARCH_PATHS[sdk=macosx*]" = "@executable_path/../Frameworks";
+				MACOSX_DEPLOYMENT_TARGET = 11.0;
+				MARKETING_VERSION = 1.0;
+				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.Benchmark;
+				PRODUCT_NAME = Benchmark;
+				SDKROOT = auto;
+				SUPPORTED_PLATFORMS = "iphoneos iphonesimulator";
+				SUPPORTS_MACCATALYST = NO;
+				SWIFT_EMIT_LOC_STRINGS = YES;
+				SWIFT_VERSION = 5.0;
+				TARGETED_DEVICE_FAMILY = "1,2";
+			};
+			name = Debug;
+		};
+		03B2D38B2C8A515C0046936E /* Release */ = {
+			isa = XCBuildConfiguration;
+			buildSettings = {
+				CODE_SIGN_ENTITLEMENTS = App/App.entitlements;
+				"CODE_SIGN_IDENTITY[sdk=macosx*]" = "Apple Development";
+				CODE_SIGN_STYLE = Automatic;
+				CURRENT_PROJECT_VERSION = 1;
+				DEVELOPMENT_TEAM = "";
+				ENABLE_PREVIEWS = YES;
+				GENERATE_INFOPLIST_FILE = YES;
+				"INFOPLIST_KEY_UIApplicationSceneManifest_Generation[sdk=iphoneos*]" = YES;
+				"INFOPLIST_KEY_UIApplicationSceneManifest_Generation[sdk=iphonesimulator*]" = YES;
+				"INFOPLIST_KEY_UIApplicationSupportsIndirectInputEvents[sdk=iphoneos*]" = YES;
+				"INFOPLIST_KEY_UIApplicationSupportsIndirectInputEvents[sdk=iphonesimulator*]" = YES;
+				"INFOPLIST_KEY_UILaunchScreen_Generation[sdk=iphoneos*]" = YES;
+				"INFOPLIST_KEY_UILaunchScreen_Generation[sdk=iphonesimulator*]" = YES;
+				"INFOPLIST_KEY_UIStatusBarStyle[sdk=iphoneos*]" = UIStatusBarStyleDefault;
+				"INFOPLIST_KEY_UIStatusBarStyle[sdk=iphonesimulator*]" = UIStatusBarStyleDefault;
+				IPHONEOS_DEPLOYMENT_TARGET = 17.0;
+				LD_RUNPATH_SEARCH_PATHS = "@executable_path/Frameworks";
+				"LD_RUNPATH_SEARCH_PATHS[sdk=macosx*]" = "@executable_path/../Frameworks";
+				MACOSX_DEPLOYMENT_TARGET = 11.0;
+				MARKETING_VERSION = 1.0;
+				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.Benchmark;
+				PRODUCT_NAME = Benchmark;
+				SDKROOT = auto;
+				SUPPORTED_PLATFORMS = "iphoneos iphonesimulator";
+				SUPPORTS_MACCATALYST = NO;
+				SWIFT_EMIT_LOC_STRINGS = YES;
+				SWIFT_VERSION = 5.0;
+				TARGETED_DEVICE_FAMILY = "1,2";
+			};
+			name = Release;
+		};
+		03B2D38D2C8A515C0046936E /* Debug */ = {
+			isa = XCBuildConfiguration;
+			baseConfigurationReference = 03B019502C8A80D30044D558 /* Tests.xcconfig */;
+			buildSettings = {
+				ALWAYS_EMBED_SWIFT_STANDARD_LIBRARIES = YES;
+				BUNDLE_LOADER = "$(TEST_HOST)";
+				CODE_SIGN_STYLE = Automatic;
+				CURRENT_PROJECT_VERSION = 1;
+				DEVELOPMENT_TEAM = "";
+				GENERATE_INFOPLIST_FILE = YES;
+				IPHONEOS_DEPLOYMENT_TARGET = 17.0;
+				MACOSX_DEPLOYMENT_TARGET = 10.15;
+				MARKETING_VERSION = 1.0;
+				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.BenchmarkTests;
+				PRODUCT_NAME = "$(TARGET_NAME)";
+				SDKROOT = auto;
+				SUPPORTED_PLATFORMS = "iphoneos iphonesimulator";
+				SUPPORTS_MACCATALYST = NO;
+				SWIFT_EMIT_LOC_STRINGS = NO;
+				SWIFT_VERSION = 5.0;
+				TARGETED_DEVICE_FAMILY = "1,2";
+				TEST_HOST = "$(BUILT_PRODUCTS_DIR)/Benchmark.app/$(BUNDLE_EXECUTABLE_FOLDER_PATH)/Benchmark";
+			};
+			name = Debug;
+		};
+		03B2D38E2C8A515C0046936E /* Release */ = {
+			isa = XCBuildConfiguration;
+			baseConfigurationReference = 03B019502C8A80D30044D558 /* Tests.xcconfig */;
+			buildSettings = {
+				ALWAYS_EMBED_SWIFT_STANDARD_LIBRARIES = YES;
+				BUNDLE_LOADER = "$(TEST_HOST)";
+				CODE_SIGN_STYLE = Automatic;
+				CURRENT_PROJECT_VERSION = 1;
+				DEVELOPMENT_TEAM = "";
+				GENERATE_INFOPLIST_FILE = YES;
+				IPHONEOS_DEPLOYMENT_TARGET = 17.0;
+				MACOSX_DEPLOYMENT_TARGET = 10.15;
+				MARKETING_VERSION = 1.0;
+				PRODUCT_BUNDLE_IDENTIFIER = org.pytorch.executorch.BenchmarkTests;
+				PRODUCT_NAME = "$(TARGET_NAME)";
+				SDKROOT = auto;
+				SUPPORTED_PLATFORMS = "iphoneos iphonesimulator";
+				SUPPORTS_MACCATALYST = NO;
+				SWIFT_EMIT_LOC_STRINGS = NO;
+				SWIFT_VERSION = 5.0;
+				TARGETED_DEVICE_FAMILY = "1,2";
+				TEST_HOST = "$(BUILT_PRODUCTS_DIR)/Benchmark.app/$(BUNDLE_EXECUTABLE_FOLDER_PATH)/Benchmark";
+			};
+			name = Release;
+		};
+/* End XCBuildConfiguration section */
+
+/* Begin XCConfigurationList section */
+		03B2D35F2C8A515A0046936E /* Build configuration list for PBXProject "Benchmark" */ = {
+			isa = XCConfigurationList;
+			buildConfigurations = (
+				03B2D3872C8A515C0046936E /* Debug */,
+				03B2D3882C8A515C0046936E /* Release */,
+			);
+			defaultConfigurationIsVisible = 0;
+			defaultConfigurationName = Release;
+		};
+		03B2D3892C8A515C0046936E /* Build configuration list for PBXNativeTarget "App" */ = {
+			isa = XCConfigurationList;
+			buildConfigurations = (
+				03B2D38A2C8A515C0046936E /* Debug */,
+				03B2D38B2C8A515C0046936E /* Release */,
+			);
+			defaultConfigurationIsVisible = 0;
+			defaultConfigurationName = Release;
+		};
+		03B2D38C2C8A515C0046936E /* Build configuration list for PBXNativeTarget "Tests" */ = {
+			isa = XCConfigurationList;
+			buildConfigurations = (
+				03B2D38D2C8A515C0046936E /* Debug */,
+				03B2D38E2C8A515C0046936E /* Release */,
+			);
+			defaultConfigurationIsVisible = 0;
+			defaultConfigurationName = Release;
+		};
+/* End XCConfigurationList section */
+	};
+	rootObject = 03B2D35C2C8A515A0046936E /* Project object */;
+}
diff --git a/extension/apple/Benchmark/Benchmark.xcodeproj/xcshareddata/xcschemes/Benchmark.xcscheme b/extension/apple/Benchmark/Benchmark.xcodeproj/xcshareddata/xcschemes/Benchmark.xcscheme
new file mode 100644
index 0000000000..ebfe1e5fd3
--- /dev/null
+++ b/extension/apple/Benchmark/Benchmark.xcodeproj/xcshareddata/xcschemes/Benchmark.xcscheme
@@ -0,0 +1,107 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<Scheme
+   LastUpgradeVersion = "1540"
+   version = "1.7">
+   <BuildAction
+      parallelizeBuildables = "YES"
+      buildImplicitDependencies = "YES"
+      buildArchitectures = "Automatic">
+      <BuildActionEntries>
+         <BuildActionEntry
+            buildForTesting = "YES"
+            buildForRunning = "YES"
+            buildForProfiling = "YES"
+            buildForArchiving = "YES"
+            buildForAnalyzing = "YES">
+            <BuildableReference
+               BuildableIdentifier = "primary"
+               BlueprintIdentifier = "03B2D3632C8A515A0046936E"
+               BuildableName = "Benchmark.app"
+               BlueprintName = "App"
+               ReferencedContainer = "container:Benchmark.xcodeproj">
+            </BuildableReference>
+         </BuildActionEntry>
+      </BuildActionEntries>
+   </BuildAction>
+   <TestAction
+      buildConfiguration = "Release"
+      selectedDebuggerIdentifier = ""
+      selectedLauncherIdentifier = "Xcode.IDEFoundation.Launcher.PosixSpawn"
+      shouldUseLaunchSchemeArgsEnv = "YES">
+      <TestPlans>
+         <TestPlanReference
+            reference = "container:Tests/Tests.xctestplan"
+            default = "YES">
+         </TestPlanReference>
+      </TestPlans>
+      <Testables>
+         <TestableReference
+            skipped = "NO"
+            parallelizable = "YES">
+            <BuildableReference
+               BuildableIdentifier = "primary"
+               BlueprintIdentifier = "03B2D3742C8A515C0046936E"
+               BuildableName = "Tests.xctest"
+               BlueprintName = "Tests"
+               ReferencedContainer = "container:Benchmark.xcodeproj">
+            </BuildableReference>
+         </TestableReference>
+         <TestableReference
+            skipped = "NO"
+            parallelizable = "YES">
+            <BuildableReference
+               BuildableIdentifier = "primary"
+               BlueprintIdentifier = "03B2D37E2C8A515C0046936E"
+               BuildableName = "BenchmarkUITests.xctest"
+               BlueprintName = "BenchmarkUITests"
+               ReferencedContainer = "container:Benchmark.xcodeproj">
+            </BuildableReference>
+         </TestableReference>
+      </Testables>
+   </TestAction>
+   <LaunchAction
+      buildConfiguration = "Debug"
+      selectedDebuggerIdentifier = "Xcode.DebuggerFoundation.Debugger.LLDB"
+      selectedLauncherIdentifier = "Xcode.DebuggerFoundation.Launcher.LLDB"
+      launchStyle = "0"
+      useCustomWorkingDirectory = "NO"
+      ignoresPersistentStateOnLaunch = "NO"
+      debugDocumentVersioning = "YES"
+      debugServiceExtension = "internal"
+      allowLocationSimulation = "YES">
+      <BuildableProductRunnable
+         runnableDebuggingMode = "0">
+         <BuildableReference
+            BuildableIdentifier = "primary"
+            BlueprintIdentifier = "03B2D3632C8A515A0046936E"
+            BuildableName = "Benchmark.app"
+            BlueprintName = "App"
+            ReferencedContainer = "container:Benchmark.xcodeproj">
+         </BuildableReference>
+      </BuildableProductRunnable>
+   </LaunchAction>
+   <ProfileAction
+      buildConfiguration = "Release"
+      shouldUseLaunchSchemeArgsEnv = "YES"
+      savedToolIdentifier = ""
+      useCustomWorkingDirectory = "NO"
+      debugDocumentVersioning = "YES">
+      <BuildableProductRunnable
+         runnableDebuggingMode = "0">
+         <BuildableReference
+            BuildableIdentifier = "primary"
+            BlueprintIdentifier = "03B2D3632C8A515A0046936E"
+            BuildableName = "Benchmark.app"
+            BlueprintName = "App"
+            ReferencedContainer = "container:Benchmark.xcodeproj">
+         </BuildableReference>
+      </BuildableProductRunnable>
+   </ProfileAction>
+   <AnalyzeAction
+      buildConfiguration = "Debug">
+   </AnalyzeAction>
+   <ArchiveAction
+      buildConfiguration = "Release"
+      revealArchiveInOrganizer = "YES">
+   </ArchiveAction>
+</Scheme>
diff --git a/extension/apple/Benchmark/Tests/Tests.mm b/extension/apple/Benchmark/Tests/Tests.mm
new file mode 100644
index 0000000000..74388b49d5
--- /dev/null
+++ b/extension/apple/Benchmark/Tests/Tests.mm
@@ -0,0 +1,152 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#import <XCTest/XCTest.h>
+
+#import <UIKit/UIDevice.h>
+#import <objc/runtime.h>
+#import <sys/utsname.h>
+
+#import <executorch/extension/module/module.h>
+#import <executorch/extension/tensor/tensor.h>
+
+using namespace ::executorch::extension;
+using namespace ::executorch::runtime;
+
+@interface Tests : XCTestCase
+
+@end
+
+@implementation Tests
+
++ (NSString *)getDeviceInfo {
+  NSString *device = [[UIDevice currentDevice] model];
+
+  // i.e. iPhone15
+  struct utsname systemInfo;
+  uname(&systemInfo);
+  NSString *name = [NSString stringWithCString:systemInfo.machine
+                                      encoding:NSUTF8StringEncoding];
+
+  NSString *systemName = [[UIDevice currentDevice] systemName];
+  NSString *systemVersion = [[UIDevice currentDevice] systemVersion];
+  return [NSString
+      stringWithFormat:@"%@_%@_%@_%@", device, name, systemName, systemVersion];
+}
+
++ (void)initialize {
+  if (self != [self class]) {
+    return;
+  }
+  NSString *deviceInfo = [Tests getDeviceInfo];
+
+  for (NSBundle *bundle in @[
+         [NSBundle mainBundle],
+         [NSBundle bundleForClass:[self class]],
+       ]) {
+    for (NSString *directory in @[
+           @"Models",
+           @"aatp/data",
+         ]) {
+      NSString *directoryPath =
+          [bundle.resourcePath stringByAppendingPathComponent:directory];
+      NSArray *filePaths =
+          [NSFileManager.defaultManager contentsOfDirectoryAtPath:directoryPath
+                                                            error:nil];
+      for (NSString *filePath in filePaths) {
+        if (![filePath hasSuffix:@".pte"]) {
+          continue;
+        }
+        NSString *modelPath =
+            [directoryPath stringByAppendingPathComponent:filePath];
+        NSString *directoryName =
+            [directory stringByReplacingOccurrencesOfString:@"/"
+                                                 withString:@"_"]
+                .lowercaseString;
+        NSString *modelName =
+            modelPath.lastPathComponent.stringByDeletingPathExtension;
+
+        SEL testLoadSelector = NSSelectorFromString(
+            [NSString stringWithFormat:@"test_load_%@_%@_%@",
+                                       directoryName,
+                                       modelName,
+                                       deviceInfo]);
+        IMP testLoadImplementation = imp_implementationWithBlock(^(id _self) {
+          auto __block module = std::make_unique<Module>(modelPath.UTF8String);
+          [_self measureWithMetrics:@[
+            [XCTClockMetric new],
+            [XCTMemoryMetric new],
+          ]
+                            options:XCTMeasureOptions.defaultOptions
+                              block:^{
+                                XCTAssertEqual(module->load_method("forward"),
+                                               Error::Ok);
+                              }];
+        });
+        class_addMethod(
+            [self class], testLoadSelector, testLoadImplementation, "v@:");
+
+        SEL testForwardSelector = NSSelectorFromString(
+            [NSString stringWithFormat:@"test_forward_%@_%@_%@",
+                                       directoryName,
+                                       modelName,
+                                       deviceInfo]);
+        IMP testForwardImplementation = imp_implementationWithBlock(^(
+            id _self) {
+          auto __block module = std::make_unique<Module>(modelPath.UTF8String);
+          XCTAssertEqual(module->load_method("forward"), Error::Ok);
+
+          const auto method_meta = module->method_meta("forward");
+          XCTAssertEqual(method_meta.error(), Error::Ok);
+
+          const auto num_inputs = method_meta->num_inputs();
+          XCTAssertGreaterThan(num_inputs, 0);
+
+          std::vector<TensorPtr> __block tensors;
+          tensors.reserve(num_inputs);
+          std::vector<EValue> __block inputs;
+          inputs.reserve(num_inputs);
+
+          for (auto index = 0; index < num_inputs; ++index) {
+            const auto input_tag = method_meta->input_tag(index);
+            XCTAssertEqual(input_tag.error(), Error::Ok);
+
+            switch (*input_tag) {
+            case Tag::Tensor: {
+              const auto tensor_meta = method_meta->input_tensor_meta(index);
+              XCTAssertEqual(tensor_meta.error(), Error::Ok);
+
+              const auto sizes = tensor_meta->sizes();
+              tensors.emplace_back(ones({sizes.begin(), sizes.end()},
+                                        tensor_meta->scalar_type()));
+              inputs.emplace_back(tensors.back());
+            } break;
+            default:
+              XCTFail("Unsupported tag %i at input %d", *input_tag, index);
+            }
+          }
+          [_self measureWithMetrics:@[
+            [XCTClockMetric new],
+            [XCTMemoryMetric new],
+          ]
+                            options:XCTMeasureOptions.defaultOptions
+                              block:^{
+                                XCTAssertEqual(module->forward(inputs).error(),
+                                               Error::Ok);
+                              }];
+        });
+        class_addMethod([self class],
+                        testForwardSelector,
+                        testForwardImplementation,
+                        "v@:");
+      }
+    }
+  }
+}
+
+@end
diff --git a/extension/apple/Benchmark/Tests/Tests.xcconfig b/extension/apple/Benchmark/Tests/Tests.xcconfig
new file mode 100644
index 0000000000..838cc61a43
--- /dev/null
+++ b/extension/apple/Benchmark/Tests/Tests.xcconfig
@@ -0,0 +1,26 @@
+OTHER_LDFLAGS[sdk=iphonesimulator*] = $(inherited) \
+-force_load $(BUILT_PRODUCTS_DIR)/libexecutorch-simulator-release.a \
+-force_load $(BUILT_PRODUCTS_DIR)/libbackend_coreml-simulator-release.a \
+-force_load $(BUILT_PRODUCTS_DIR)/libbackend_mps-simulator-release.a \
+-force_load $(BUILT_PRODUCTS_DIR)/libbackend_xnnpack-simulator-release.a \
+-force_load $(BUILT_PRODUCTS_DIR)/libkernels_custom-simulator-release.a \
+-force_load $(BUILT_PRODUCTS_DIR)/libkernels_portable-simulator-release.a \
+-force_load $(BUILT_PRODUCTS_DIR)/libkernels_quantized-simulator-release.a
+
+OTHER_LDFLAGS[sdk=iphoneos*] = $(inherited) \
+-force_load $(BUILT_PRODUCTS_DIR)/libexecutorch-ios-release.a \
+-force_load $(BUILT_PRODUCTS_DIR)/libbackend_coreml-ios-release.a \
+-force_load $(BUILT_PRODUCTS_DIR)/libbackend_mps-ios-release.a \
+-force_load $(BUILT_PRODUCTS_DIR)/libbackend_xnnpack-ios-release.a \
+-force_load $(BUILT_PRODUCTS_DIR)/libkernels_custom-ios-release.a \
+-force_load $(BUILT_PRODUCTS_DIR)/libkernels_portable-ios-release.a \
+-force_load $(BUILT_PRODUCTS_DIR)/libkernels_quantized-ios-release.a
+
+OTHER_LDFLAGS[sdk=macos*] = $(inherited) \
+-force_load $(BUILT_PRODUCTS_DIR)/libexecutorch-macos-release.a \
+-force_load $(BUILT_PRODUCTS_DIR)/libbackend_coreml-macos-release.a \
+-force_load $(BUILT_PRODUCTS_DIR)/libbackend_mps-macos-release.a \
+-force_load $(BUILT_PRODUCTS_DIR)/libbackend_xnnpack-macos-release.a \
+-force_load $(BUILT_PRODUCTS_DIR)/libkernels_custom-macos-release.a \
+-force_load $(BUILT_PRODUCTS_DIR)/libkernels_portable-macos-release.a \
+-force_load $(BUILT_PRODUCTS_DIR)/libkernels_quantized-macos-release.a
diff --git a/extension/apple/Benchmark/Tests/Tests.xctestplan b/extension/apple/Benchmark/Tests/Tests.xctestplan
new file mode 100644
index 0000000000..025f50f194
--- /dev/null
+++ b/extension/apple/Benchmark/Tests/Tests.xctestplan
@@ -0,0 +1,28 @@
+{
+  "configurations" : [
+    {
+      "id" : "0430A5ED-FD8D-444E-9933-740E01CCD53C",
+      "name" : "Test Scheme Action",
+      "options" : {
+
+      }
+    }
+  ],
+  "defaultOptions" : {
+    "targetForVariableExpansion" : {
+      "containerPath" : "container:Benchmark.xcodeproj",
+      "identifier" : "03B2D3632C8A515A0046936E",
+      "name" : "App"
+    }
+  },
+  "testTargets" : [
+    {
+      "target" : {
+        "containerPath" : "container:Benchmark.xcodeproj",
+        "identifier" : "03B2D3742C8A515C0046936E",
+        "name" : "Tests"
+      }
+    }
+  ],
+  "version" : 1
+}
diff --git a/extension/apple/ExecuTorch/Exported/ExecuTorchLog.mm b/extension/apple/ExecuTorch/Exported/ExecuTorchLog.mm
index 15f5aa1727..904647fee8 100644
--- a/extension/apple/ExecuTorch/Exported/ExecuTorchLog.mm
+++ b/extension/apple/ExecuTorch/Exported/ExecuTorchLog.mm
@@ -116,10 +116,10 @@ - (void)logWithLevel:(ExecuTorchLogLevel)level
 void et_pal_emit_log_message(et_timestamp_t timestamp,
                              et_pal_log_level_t level,
                              const char *__nonnull filename,
-                             __ET_UNUSED const char *function,
+                             ET_UNUSED const char *function,
                              size_t line,
                              const char *__nonnull message,
-                             __ET_UNUSED size_t length) {
+                             ET_UNUSED size_t length) {
 #if ET_LOG_ENABLED
   NSTimeInterval timeInterval = timestamp / 1000000000.0;
   NSUInteger totalSeconds = (NSUInteger)timeInterval;
diff --git a/extension/aten_util/aten_bridge.cpp b/extension/aten_util/aten_bridge.cpp
index 3916f7ed42..362dc57c37 100644
--- a/extension/aten_util/aten_bridge.cpp
+++ b/extension/aten_util/aten_bridge.cpp
@@ -11,8 +11,8 @@
 #include <executorch/runtime/platform/assert.h>
 #include <cstring>
 
-namespace torch {
-namespace util {
+namespace executorch {
+namespace extension {
 
 namespace {
 void check_tensor_meta(const at::Tensor& a, const exec_aten::Tensor& b) {
@@ -55,14 +55,15 @@ ET_CHECK_MSG(
   }
   // check dtype
   ET_CHECK_MSG(
-      b.scalar_type() == torchToExecuTorchScalarType(a.options().dtype()),
+      b.scalar_type() == torch_to_executorch_scalar_type(a.options().dtype()),
       "dtypes dont match a %hhd vs. b %hhd",
-      torchToExecuTorchScalarType(a.options().dtype()),
+      torch_to_executorch_scalar_type(a.options().dtype()),
       b.scalar_type());
 }
 } // namespace
 
-torch::executor::ScalarType torchToExecuTorchScalarType(caffe2::TypeMeta type) {
+torch::executor::ScalarType torch_to_executorch_scalar_type(
+    caffe2::TypeMeta type) {
   switch (c10::typeMetaToScalarType(type)) {
     case c10::ScalarType::Byte:
       return torch::executor::ScalarType::Byte;
@@ -91,7 +92,8 @@ torch::executor::ScalarType torchToExecuTorchScalarType(caffe2::TypeMeta type) {
   }
 }
 
-c10::ScalarType execuTorchtoTorchScalarType(torch::executor::ScalarType type) {
+c10::ScalarType executorch_to_torch_scalar_type(
+    torch::executor::ScalarType type) {
   switch (type) {
     case torch::executor::ScalarType::Byte:
       return c10::ScalarType::Byte;
@@ -147,7 +149,8 @@ void alias_etensor_to_attensor(
 }
 
 at::Tensor alias_attensor_to_etensor(const torch::executor::Tensor& etensor) {
-  c10::ScalarType dtype = execuTorchtoTorchScalarType(etensor.scalar_type());
+  c10::ScalarType dtype =
+      executorch_to_torch_scalar_type(etensor.scalar_type());
   std::vector<int64_t> at_tensor_sizes(
       etensor.sizes().begin(), etensor.sizes().end());
   std::vector<int64_t> at_tensor_strides(
@@ -162,5 +165,6 @@ at::Tensor alias_attensor_to_etensor(const torch::executor::Tensor& etensor) {
   check_tensor_meta(t, etensor);
   return t;
 }
-} // namespace util
-} // namespace torch
+
+} // namespace extension
+} // namespace executorch
diff --git a/extension/aten_util/aten_bridge.h b/extension/aten_util/aten_bridge.h
index a01d9bc26c..0d6b697463 100644
--- a/extension/aten_util/aten_bridge.h
+++ b/extension/aten_util/aten_bridge.h
@@ -18,12 +18,14 @@
 #include <memory>
 #include <vector>
 
-namespace torch {
-namespace util {
+namespace executorch {
+namespace extension {
 
-torch::executor::ScalarType torchToExecuTorchScalarType(caffe2::TypeMeta type);
+torch::executor::ScalarType torch_to_executorch_scalar_type(
+    caffe2::TypeMeta type);
 
-c10::ScalarType execuTorchtoTorchScalarType(torch::executor::ScalarType type);
+c10::ScalarType executorch_to_torch_scalar_type(
+    torch::executor::ScalarType type);
 
 /*
  * @param[in] aten_tensor Input at::Tensor
@@ -45,5 +47,37 @@ void alias_etensor_to_attensor(at::Tensor& at, torch::executor::Tensor& et);
  * cloned.
  */
 at::Tensor alias_attensor_to_etensor(const torch::executor::Tensor& et);
+
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+namespace util {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::alias_attensor_to_etensor;
+using ::executorch::extension::alias_etensor_to_attensor;
+inline torch::executor::ScalarType torchToExecuTorchScalarType(
+    caffe2::TypeMeta type) {
+  return ::executorch::extension::torch_to_executorch_scalar_type(type);
+}
+inline c10::ScalarType execuTorchtoTorchScalarType(
+    torch::executor::ScalarType type) {
+  return ::executorch::extension::executorch_to_torch_scalar_type(type);
+}
+} // namespace util
+} // namespace executor
+} // namespace torch
+
+// Some users refer to these as `torch::util::`.
+namespace torch {
+namespace util {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::torch::executor::util::alias_attensor_to_etensor;
+using ::torch::executor::util::alias_etensor_to_attensor;
+using ::torch::executor::util::execuTorchtoTorchScalarType;
+using ::torch::executor::util::torchToExecuTorchScalarType;
 } // namespace util
 } // namespace torch
diff --git a/extension/aten_util/make_aten_functor_from_et_functor.h b/extension/aten_util/make_aten_functor_from_et_functor.h
index bf7ba8b6ce..d7f2906944 100644
--- a/extension/aten_util/make_aten_functor_from_et_functor.h
+++ b/extension/aten_util/make_aten_functor_from_et_functor.h
@@ -20,15 +20,13 @@
 #endif
 #include <ATen/native/Resize.h>
 #include <executorch/extension/kernel_util/type_list.h>
-#include <executorch/extension/runner_util/managed_tensor.h>
+#include <executorch/extension/tensor/tensor.h>
 #include <executorch/runtime/core/evalue.h>
 #include <torch/torch.h>
 
-namespace torch {
-namespace executor {
-
-class KernelRuntimeContext; // Forward declaration
-using RuntimeContext = KernelRuntimeContext; // TODO(T147221312): Remove
+namespace executorch {
+namespace extension {
+namespace internal {
 
 // Map types from ETen to ATen.
 // This is used to convert ETen arguments into ATen.
@@ -107,25 +105,20 @@ struct type_convert<
             typename remove_const_ref<ETensor>::type,
             torch::executor::Tensor>>>
     final {
- public:
-  ATensor val;
-  std::unique_ptr<ManagedTensor> managed_tensor;
-  torch::executor::Tensor converted;
-  std::vector<exec_aten::SizesType> sizes;
   explicit type_convert(ATensor value)
-      : val(value), converted(torch::executor::Tensor(nullptr)) {
-    for (auto size : val.sizes()) {
-      sizes.push_back(size);
-    }
-    torch::executor::ScalarType scalar_type =
-        static_cast<torch::executor::ScalarType>(val.scalar_type());
-    managed_tensor = std::make_unique<ManagedTensor>(
-        val.mutable_data_ptr(), sizes, scalar_type);
-    converted = managed_tensor->get_aliasing_tensor();
-  }
+      : value_(value),
+        converted_(from_blob(
+            value_.mutable_data_ptr(),
+            {value_.sizes().begin(), value_.sizes().end()},
+            ::torch::executor::ScalarType(value_.scalar_type()))) {}
+
   ETensor call() {
-    return converted;
+    return *converted_;
   }
+
+ private:
+  ATensor value_;
+  TensorPtr converted_;
 };
 
 // Tensors: ETen to ATen.
@@ -137,23 +130,22 @@ struct type_convert<
         std::is_same_v<typename remove_const_ref<ATensor>::type, at::Tensor> &&
         std::is_same_v<
             typename remove_const_ref<ETensor>::type,
-            torch::executor::Tensor>>>
+            ::torch::executor::Tensor>>>
     final {
- public:
-  ETensor val;
-  at::Tensor converted;
-  std::vector<int64_t> sizes;
-  explicit type_convert(ETensor value) : val(value) {
-    for (auto size : val.sizes()) {
-      sizes.push_back(size);
-    }
-    c10::ScalarType scalar_type =
-        static_cast<c10::ScalarType>(val.scalar_type());
-    converted = at::from_blob(val.mutable_data_ptr(), sizes, scalar_type);
-  }
+  explicit type_convert(ETensor value)
+      : value_(value),
+        converted_(at::from_blob(
+            value_.mutable_data_ptr(),
+            std::vector<int64_t>{value_.sizes().begin(), value_.sizes().end()},
+            c10::ScalarType(value_.scalar_type()))) {}
+
   ATensor call() {
-    return converted;
+    return converted_;
   }
+
+ private:
+  ETensor value_;
+  at::Tensor converted_;
 };
 
 // Optionals: ATen to ETen.
@@ -246,7 +238,12 @@ struct wrapper_impl<R (*)(Args...), f, int, N> {
   using TupleArgsType = std::tuple<typename type_map<Args>::type...>;
   static constexpr size_t num_args = sizeof...(Args);
   static_assert(
-      (N < num_args && std::is_same_v<element_t<N, typelist<Args...>>, R>) ||
+      (N < num_args &&
+       std::is_same_v<
+           executorch::extension::kernel_util_internal::element_t<
+               N,
+               executorch::extension::kernel_util_internal::typelist<Args...>>,
+           R>) ||
           N == -1,
       "The index of the out tensor can't be greater or equal to num_args and "
       "the Nth argument type has to be the same as the return type.");
@@ -286,16 +283,18 @@ struct wrapper_impl<R (*)(Args...), f, int, N> {
   }
 };
 
-} // namespace executor
-} // namespace torch
+} // namespace internal
+} // namespace extension
+} // namespace executorch
 
 // Wrapper macro for out variant function. N is the index of the out tensor.
 // We need N to know how to preserve the semantics of modifying out tensor and
 // return the reference without allocating a new memory buffer for out tensor.
-#define _WRAP_2(func, N) \
-  ::torch::executor::wrapper_impl<decltype(&func), func, decltype(N), N>::wrap
+#define _WRAP_2(func, N)              \
+  ::executorch::extension::internal:: \
+      wrapper_impl<decltype(&func), func, decltype(N), N>::wrap
 #define _WRAP_1(func) \
-  ::torch::executor::wrapper_impl<decltype(&func), func>::wrap
+  ::executorch::extension::internal::wrapper_impl<decltype(&func), func>::wrap
 
-#define GET_MACRO(_1, _2, NAME, ...) NAME
-#define WRAP_TO_ATEN(...) GET_MACRO(__VA_ARGS__, _WRAP_2, _WRAP_1)(__VA_ARGS__)
+#define _GET_MACRO(_1, _2, NAME, ...) NAME
+#define WRAP_TO_ATEN(...) _GET_MACRO(__VA_ARGS__, _WRAP_2, _WRAP_1)(__VA_ARGS__)
diff --git a/extension/aten_util/targets.bzl b/extension/aten_util/targets.bzl
index 6e32583029..f219d6253f 100644
--- a/extension/aten_util/targets.bzl
+++ b/extension/aten_util/targets.bzl
@@ -27,7 +27,7 @@ def define_common_targets():
         ],
         exported_deps = [
             "//executorch/extension/kernel_util:kernel_util",
-            "//executorch/extension/runner_util:managed_tensor",
+            "//executorch/extension/tensor:tensor",
             "//executorch/runtime/core:core",
             "//executorch/runtime/core:evalue",
             "//executorch/runtime/core/exec_aten:lib",
diff --git a/extension/aten_util/test/aten_bridge_test.cpp b/extension/aten_util/test/aten_bridge_test.cpp
index 5f52a06309..cf6d2b8597 100644
--- a/extension/aten_util/test/aten_bridge_test.cpp
+++ b/extension/aten_util/test/aten_bridge_test.cpp
@@ -16,8 +16,8 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-using namespace torch::util;
 using namespace torch::executor;
+using namespace torch::executor::util;
 
 namespace {
 at::Tensor generate_at_tensor() {
diff --git a/extension/aten_util/test/make_aten_functor_from_et_functor_test.cpp b/extension/aten_util/test/make_aten_functor_from_et_functor_test.cpp
index db99d9b49d..26fe845a9e 100644
--- a/extension/aten_util/test/make_aten_functor_from_et_functor_test.cpp
+++ b/extension/aten_util/test/make_aten_functor_from_et_functor_test.cpp
@@ -14,10 +14,11 @@
 #include <gtest/gtest.h>
 #include <torch/library.h>
 
-namespace torch {
-namespace executor {
-
 using namespace ::testing;
+using ::executorch::extension::internal::type_convert;
+using ::executorch::extension::internal::type_map;
+using ::torch::executor::ScalarType;
+using ::torch::executor::Tensor;
 
 Tensor& my_op_out(const Tensor& a, Tensor& out) {
   (void)a;
@@ -420,6 +421,3 @@ TEST_F(MakeATenFunctorFromETFunctorTest, TestWrap_ArrayRefOptional) {
   EXPECT_EQ(stack.size(), 1);
   EXPECT_EQ(stack[0].toTensor().const_data_ptr<int64_t>()[0], 4);
 }
-
-} // namespace executor
-} // namespace torch
diff --git a/extension/aten_util/test/targets.bzl b/extension/aten_util/test/targets.bzl
index b724bbce2b..db2247fd60 100644
--- a/extension/aten_util/test/targets.bzl
+++ b/extension/aten_util/test/targets.bzl
@@ -18,7 +18,6 @@ def define_common_targets():
             "//executorch/runtime/core/exec_aten:lib",
             "//executorch/runtime/kernel:operator_registry",
             "//executorch/extension/aten_util:aten_bridge",
-            "//executorch/extension/runner_util:managed_tensor",
             "//executorch/runtime/core/exec_aten/testing_util:tensor_util",
         ],
         external_deps = [
diff --git a/extension/benchmark/README.md b/extension/benchmark/README.md
new file mode 100644
index 0000000000..14b23adfbe
--- /dev/null
+++ b/extension/benchmark/README.md
@@ -0,0 +1,76 @@
+# Benchmarking Infrastructure (Experimental)
+
+The ExecuTorch project introduces an advanced benchmarking infrastructure designed to measure the performance of models on Android and iOS devices. It supports various backend delegates and devices, enabling reproducible performance measurements and facilitating collaborative efforts in performance tuning and debugging. This infrastructure is built on top of the [Nova reusable mobile workflow](https://github.com/pytorch/test-infra/wiki/Testing-Android-and-iOS-apps-on-OSS-CI-using-Nova-reusable-mobile-workflow) powered by PyTorch test-infra.
+
+### Key Features
+
+- **Multiple Models**: Supports a variety of ExecuTorch-enabled models such as `MobileNetV2` etc. Integration with compatible Hugging Face models is coming soon.
+
+- **Device Support**: Includes popular phones like latest Apple iPhone, Google Pixel, and Samsung Galaxy, etc.
+
+- **Backend Delegates**: Supports XNNPACK, Apple CoreML, Qualcomm QNN, and more in the near future.
+
+- **Benchmark Apps:** Generic apps that support both GenAI and non-GenAI models, capable of measuring performance offline. [Android App](../android/benchmark/) | [iOS App](../apple/Benchmark/). Popular Android and iOS profilers with in-depth performance analysis will be integrated with these apps in the future.
+
+- **Performance Monitoring**: Stores results in a database with a dashboard for tracking performance and detecting regressions.
+
+> **Disclaimer:** The infrastructure is new and experimental. We're working on improving its accessibility and stability over time. The models performance tuning is still a work in progress. The benchmark numbers presented in this document are not vetted yet and should be treated as preliminary results.
+
+
+## Preliminary Benchmark Results
+
+Below is a table summarizing some example data points obtained via the infra. These numbers represent model load time and average inference latency across different platforms and backends.
+
+| Model                 | Backend      | Model Load Time (ms) | Avg Inference Latency (ms) | Device                 |
+|-----------------------|--------------|----------------------|----------------------------|------------------------|
+| MobileNetV3 (mv3)     | XNNPACK Q8   | [34.024](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218988461)               | [252.628](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218988461)                    | Samsung S22            |
+| MobileNetV3 (mv3)     | QNN FP16     | [168.414](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218987785)              | [1.182](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218987785)                      | Samsung S22            |
+| MobileNetV3 (mv3)     | COREML FP16  | [61.583](https://github.com/pytorch/executorch/actions/runs/10836589365/job/30078681158)               | [682.197](https://github.com/pytorch/executorch/actions/runs/10836589365/job/30078681158)                    | Apple iPhone 15 Pro    |
+| MobileNetV2 (mv2)     | XNNPACK Q8   | [14.397](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218987379)               | [10.796](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218987379)                     | Samsung S22            |
+| MobileNetV2 (mv2)     | QNN FP16     | [136.862](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218987097)              | [0.673](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218987097)                      | Samsung S22            |
+| MobileNetV2 (mv2)     | COREML FP16  | [63.019](https://github.com/pytorch/executorch/actions/runs/10892026450/job/30269520397)               | [551.031](https://github.com/pytorch/executorch/actions/runs/10892026450/job/30269520397)                    | Apple iPhone 15 Plus   |
+| InceptionV4 (ic4)     | XNNPACK Q8   | [87.617](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218986716)               | [117.937](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218986716)                    | Samsung S22            |
+| InceptionV4 (ic4)     | QNN FP16     | [163.943](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218986381)              | [2.734](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218986381)                      | Samsung S22            |
+| InceptionV4 (ic4)     | COREML FP16  | [134.402](https://github.com/pytorch/executorch/actions/runs/10892026450/job/30269518983)              | [1906.966](https://github.com/pytorch/executorch/actions/runs/10892026450/job/30269518983)                   | Apple iPhone 15 Pro    |
+| InceptionV3 (ic3)     | XNNPACK Q8   | [60.708](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218986023)               | [98.390](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218986023)                     | Samsung S22            |
+| InceptionV3 (ic3)     | QNN FP16     | [134.732](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218985425)              | [1.351](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218985425)                      | Samsung S22            |
+| InceptionV3 (ic3)     | COREML FP16  | [91.808](https://github.com/pytorch/executorch/actions/runs/10892026450/job/30269518511)               | [1500.712](https://github.com/pytorch/executorch/actions/runs/10892026450/job/30269518511)                   | Apple iPhone 15 Pro    |
+| DeepLabV3 (dl3)       | XNNPACK Q8   | [90.616](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218985758)               | [666.219](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218985758)                    | Samsung S22            |
+| DeepLabV3 (dl3)       | QNN FP16     | [182.207](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218985141)              | [9.759](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218985141)                      | Samsung S22            |
+| ResNet50 (resnet50)   | XNNPACK Q8   | [55.462](https://github.com/pytorch/executorch/actions/runs/10911725781/job/30285857102)               | [37.021](https://github.com/pytorch/executorch/actions/runs/10911725781/job/30285857102)                     | Apple iPhone 15 Pro    |
+| ResNet50 (resnet50)   | COREML FP16  | [84.453](https://github.com/pytorch/executorch/actions/runs/10836589365/job/30078680731)               | [1329.846](https://github.com/pytorch/executorch/actions/runs/10836589365/job/30078680731)                   | Apple iPhone 15 Pro    |
+| TorchVisionVit (vit)  | QNN FP16     | [174.430](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218989581)              | [199.279](https://github.com/pytorch/executorch/actions/runs/10875550238/job/30218989581)                    | Samsung S22            |
+| Wave2Letter (w2l)     | XNNPACK Q8   | [33.913](https://github.com/pytorch/executorch/actions/runs/10857890364/job/30139445319)               | [135.584](https://github.com/pytorch/executorch/actions/runs/10857890364/job/30139445319)                    | Apple iPhone 15 Pro    |
+
+
+## Supported Use Cases
+
+The benchmarking infrastructure currently supports two major use-cases:
+
+- **On-Demand Model Benchmarking:** Users can trigger benchmarking requests via GitHub Actions workflow dispatch UI. This feature will help backend developers collaborate with the ExecuTorch team to debug performance issues and advance state-of-the-art (SOTA) performance.
+
+- **Automated Nightly Batched Benchmarking:** The infrastructure performs automated nightly benchmarking to track and monitor performance over time. This allows for consistent performance monitoring and regression detection.
+
+
+## High-Level Diagram
+
+![Benchmarking Infrastructure](../../docs/source/_static/img/benchmark-infra.png)
+
+
+## Scheduling On-Demand Benchmarking
+
+Users can schedule a benchmarking workflow on a pull request through GitHub Actions using the workflow dispatch UI. Follow the steps below to trigger benchmarking:
+1. Access `pytorch/executorch` repository on GitHub and navigate to the "Actions" tab.
+2. Select `android-perf` or `apple-perf` workflow from the list of workflows.
+3. Click "Run workflow" and fill in the required parameters for the model you want to benchmark, e.g. branch name, model name and delegate, and device pool, etc.
+
+> **Note:** Write permission to the repo will be needed in order to run the on-demand workflow.
+
+
+## Retrieving Benchmark Results
+
+Currently, retrieving benchmark results involves manually extracting the `benchmark_results.json` from the `Customer_Artifacts.zip` stored on AWS S3 from the benchmarking job. This process is not yet streamlined. We are working on simplifying this process and linking the results directly to the dashboard, which will be available soon.
+
+
+## Feedback and Issue Reporting
+We encourage users to share feedback or report any issues while using the infra. Please submit your feedback via GitHub Issues.
diff --git a/extension/data_loader/buffer_data_loader.h b/extension/data_loader/buffer_data_loader.h
index 9948d8c46c..ee25d86526 100644
--- a/extension/data_loader/buffer_data_loader.h
+++ b/extension/data_loader/buffer_data_loader.h
@@ -12,10 +12,10 @@
 #include <executorch/runtime/core/error.h>
 #include <executorch/runtime/core/result.h>
 #include <executorch/runtime/platform/log.h>
+#include <cstring>
 
-namespace torch {
-namespace executor {
-namespace util {
+namespace executorch {
+namespace extension {
 
 /**
  * A DataLoader that wraps a pre-allocated buffer. The FreeableBuffers
@@ -24,15 +24,16 @@ namespace util {
  * This can be used to wrap data that is directly embedded into the firmware
  * image, or to wrap data that was allocated elsewhere.
  */
-class BufferDataLoader : public DataLoader {
+class BufferDataLoader final : public executorch::runtime::DataLoader {
  public:
   BufferDataLoader(const void* data, size_t size)
       : data_(reinterpret_cast<const uint8_t*>(data)), size_(size) {}
 
-  __ET_NODISCARD Result<FreeableBuffer> load(
+  ET_NODISCARD
+  executorch::runtime::Result<executorch::runtime::FreeableBuffer> load(
       size_t offset,
       size_t size,
-      __ET_UNUSED const DataLoader::SegmentInfo& segment_info) override {
+      ET_UNUSED const DataLoader::SegmentInfo& segment_info) const override {
     ET_CHECK_OR_RETURN_ERROR(
         offset + size <= size_,
         InvalidArgument,
@@ -40,18 +41,46 @@ class BufferDataLoader : public DataLoader {
         offset,
         size,
         size_);
-    return FreeableBuffer(data_ + offset, size, /*free_fn=*/nullptr);
+    return executorch::runtime::FreeableBuffer(
+        data_ + offset, size, /*free_fn=*/nullptr);
   }
 
-  __ET_NODISCARD Result<size_t> size() const override {
+  ET_NODISCARD executorch::runtime::Result<size_t> size() const override {
     return size_;
   }
 
+  ET_NODISCARD executorch::runtime::Error load_into(
+      size_t offset,
+      size_t size,
+      ET_UNUSED const SegmentInfo& segment_info,
+      void* buffer) const override {
+    ET_CHECK_OR_RETURN_ERROR(
+        buffer != nullptr,
+        InvalidArgument,
+        "Destination buffer cannot be null");
+
+    auto result = load(offset, size, segment_info);
+    if (!result.ok()) {
+      return result.error();
+    }
+    std::memcpy(buffer, result->data(), size);
+    return executorch::runtime::Error::Ok;
+  }
+
  private:
   const uint8_t* const data_; // uint8 is easier to index into.
   const size_t size_;
 };
 
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+namespace util {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::BufferDataLoader;
 } // namespace util
 } // namespace executor
 } // namespace torch
diff --git a/extension/data_loader/file_data_loader.cpp b/extension/data_loader/file_data_loader.cpp
index 7b041fef00..1d097cfd98 100644
--- a/extension/data_loader/file_data_loader.cpp
+++ b/extension/data_loader/file_data_loader.cpp
@@ -23,9 +23,23 @@
 #include <executorch/runtime/core/result.h>
 #include <executorch/runtime/platform/log.h>
 
-namespace torch {
-namespace executor {
-namespace util {
+// Some platforms (e.g. Xtensa) do not support pread() that we use to read the
+// file at different offsets simultaneously from multiple threads not affecting
+// each other. We list them below and use a workaround for them.
+#if defined(__xtensa__)
+#define ET_HAVE_PREAD 0
+#endif // defined(__xtensa__)
+
+#ifndef ET_HAVE_PREAD
+#define ET_HAVE_PREAD 1
+#endif // !ET_HAVE_PREAD
+
+using executorch::runtime::Error;
+using executorch::runtime::FreeableBuffer;
+using executorch::runtime::Result;
+
+namespace executorch {
+namespace extension {
 
 namespace {
 
@@ -49,7 +63,6 @@ static uint8_t* align_pointer(void* ptr, size_t alignment) {
   addr = (addr | (alignment - 1)) + 1;
   return reinterpret_cast<uint8_t*>(addr);
 }
-
 } // namespace
 
 FileDataLoader::~FileDataLoader() {
@@ -113,7 +126,7 @@ namespace {
  * `context` is actually a ptrdiff_t value (not a pointer) that contains the
  * offset in bytes between `data` and the actual pointer to free.
  */
-void FreeSegment(void* context, void* data, __ET_UNUSED size_t size) {
+void FreeSegment(void* context, void* data, ET_UNUSED size_t size) {
   ptrdiff_t offset = reinterpret_cast<ptrdiff_t>(context);
   ET_DCHECK_MSG(offset >= 0, "Unexpected offset %ld", (long int)offset);
   std::free(static_cast<uint8_t*>(data) - offset);
@@ -123,7 +136,7 @@ void FreeSegment(void* context, void* data, __ET_UNUSED size_t size) {
 Result<FreeableBuffer> FileDataLoader::load(
     size_t offset,
     size_t size,
-    __ET_UNUSED const DataLoader::SegmentInfo& segment_info) {
+    ET_UNUSED const DataLoader::SegmentInfo& segment_info) const {
   ET_CHECK_OR_RETURN_ERROR(
       // Probably had its value moved to another instance.
       fd_ >= 0,
@@ -143,19 +156,6 @@ Result<FreeableBuffer> FileDataLoader::load(
     return FreeableBuffer(nullptr, 0, /*free_fn=*/nullptr);
   }
 
-  // Seek to the right place in the file.
-  off_t seek_offset = ::lseek(fd_, offset, SEEK_SET);
-  if (seek_offset != offset) {
-    ET_LOG(
-        Error,
-        "Seeking %s to offset %zu returned %zd: %s",
-        file_name_,
-        offset,
-        (ssize_t)seek_offset,
-        strerror(errno));
-    return Error::AccessFailed;
-  }
-
   // Allocate memory for the FreeableBuffer.
   size_t alloc_size = size;
   if (alignment_ > alignof(std::max_align_t)) {
@@ -187,36 +187,11 @@ Result<FreeableBuffer> FileDataLoader::load(
       buffer,
       alloc_size);
 
-  // Read the data into the aligned address.
-  size_t needed = size;
-  uint8_t* buf = reinterpret_cast<uint8_t*>(aligned_buffer);
-  while (needed > 0) {
-    // Reads on macos will fail with EINVAL if size > INT32_MAX.
-    ssize_t nread = ::read(
-        fd_,
-        buf,
-        std::min<size_t>(
-            needed, static_cast<size_t>(std::numeric_limits<int32_t>::max())));
-    if (nread < 0 && errno == EINTR) {
-      // Interrupted by a signal; zero bytes read.
-      continue;
-    }
-    if (nread <= 0) {
-      // nread == 0 means EOF, which we shouldn't see if we were able to read
-      // the full amount. nread < 0 means an error occurred.
-      ET_LOG(
-          Error,
-          "Reading from %s: failed to read %zu bytes at offset %zu: %s",
-          file_name_,
-          size,
-          offset,
-          nread == 0 ? "EOF" : strerror(errno));
-      // Free `buffer`, which is what malloc() gave us, not `aligned_buffer`.
-      std::free(buffer);
-      return Error::AccessFailed;
-    }
-    needed -= nread;
-    buf += nread;
+  auto err = load_into(offset, size, segment_info, aligned_buffer);
+  if (err != Error::Ok) {
+    // Free `buffer`, which is what malloc() gave us, not `aligned_buffer`.
+    std::free(buffer);
+    return err;
   }
 
   // We can't naively free this pointer, since it may not be what malloc() gave
@@ -244,6 +219,77 @@ Result<size_t> FileDataLoader::size() const {
   return file_size_;
 }
 
-} // namespace util
-} // namespace executor
-} // namespace torch
+ET_NODISCARD Error FileDataLoader::load_into(
+    size_t offset,
+    size_t size,
+    ET_UNUSED const SegmentInfo& segment_info,
+    void* buffer) const {
+  ET_CHECK_OR_RETURN_ERROR(
+      // Probably had its value moved to another instance.
+      fd_ >= 0,
+      InvalidState,
+      "Uninitialized");
+  ET_CHECK_OR_RETURN_ERROR(
+      offset + size <= file_size_,
+      InvalidArgument,
+      "File %s: offset %zu + size %zu > file_size_ %zu",
+      file_name_,
+      offset,
+      size,
+      file_size_);
+  ET_CHECK_OR_RETURN_ERROR(
+      buffer != nullptr, InvalidArgument, "Provided buffer cannot be null");
+
+  // Read the data into the aligned address.
+  size_t needed = size;
+  uint8_t* buf = reinterpret_cast<uint8_t*>(buffer);
+
+  // Make a duplicate fd if pread() is not available and we have to seek().
+  // Cannot use the standard dup() or fcntl() calls because the returned
+  // duplicate will share the underlying file record and affect the original fd
+  // when seeking on multiple threads simultaneously.
+  const auto dup_fd = ET_HAVE_PREAD ? fd_ : ::open(file_name_, O_RDONLY);
+
+  while (needed > 0) {
+    // Reads on macOS will fail with EINVAL if size > INT32_MAX.
+    const auto chunk_size = std::min<size_t>(
+        needed, static_cast<size_t>(std::numeric_limits<int32_t>::max()));
+    const auto nread =
+#if ET_HAVE_PREAD
+        ::pread(dup_fd, buf, chunk_size, offset);
+#else
+        (::lseek(dup_fd, offset, SEEK_SET) == (off_t)-1)
+        ? -1
+        : ::read(dup_fd, buf, chunk_size);
+#endif
+    if (nread < 0 && errno == EINTR) {
+      // Interrupted by a signal; zero bytes read.
+      continue;
+    }
+    if (nread <= 0) {
+      // nread == 0 means EOF, which we shouldn't see if we were able to read
+      // the full amount. nread < 0 means an error occurred.
+      ET_LOG(
+          Error,
+          "Reading from %s: failed to read %zu bytes at offset %zu: %s",
+          file_name_,
+          size,
+          offset,
+          nread == 0 ? "EOF" : strerror(errno));
+      if (!ET_HAVE_PREAD) {
+        ::close(dup_fd);
+      }
+      return Error::AccessFailed;
+    }
+    needed -= nread;
+    buf += nread;
+    offset += nread;
+  }
+  if (!ET_HAVE_PREAD) {
+    ::close(dup_fd);
+  }
+  return Error::Ok;
+}
+
+} // namespace extension
+} // namespace executorch
diff --git a/extension/data_loader/file_data_loader.h b/extension/data_loader/file_data_loader.h
index c6ab25933a..7cf2a92c4a 100644
--- a/extension/data_loader/file_data_loader.h
+++ b/extension/data_loader/file_data_loader.h
@@ -14,9 +14,8 @@
 #include <executorch/runtime/core/result.h>
 #include <executorch/runtime/platform/compiler.h>
 
-namespace torch {
-namespace executor {
-namespace util {
+namespace executorch {
+namespace extension {
 
 /**
  * A DataLoader that loads segments from a file, allocating the memory
@@ -25,7 +24,7 @@ namespace util {
  * Note that this will keep the file open for the duration of its lifetime, to
  * avoid the overhead of opening it again for every load() call.
  */
-class FileDataLoader : public DataLoader {
+class FileDataLoader final : public executorch::runtime::DataLoader {
  public:
   /**
    * Creates a new FileDataLoader that wraps the named file.
@@ -40,12 +39,12 @@ class FileDataLoader : public DataLoader {
    *     could not be found.
    * @retval Error::MemoryAllocationFailed Internal memory allocation failure.
    */
-  static Result<FileDataLoader> from(
+  static executorch::runtime::Result<FileDataLoader> from(
       const char* file_name,
       size_t alignment = alignof(std::max_align_t));
 
   /// DEPRECATED: Use the lowercase `from()` instead.
-  __ET_DEPRECATED static Result<FileDataLoader> From(
+  ET_DEPRECATED static executorch::runtime::Result<FileDataLoader> From(
       const char* file_name,
       size_t alignment = alignof(std::max_align_t)) {
     return from(file_name, alignment);
@@ -57,20 +56,27 @@ class FileDataLoader : public DataLoader {
         file_size_(rhs.file_size_),
         alignment_(rhs.alignment_),
         fd_(rhs.fd_) {
-    rhs.file_name_ = nullptr;
-    rhs.file_size_ = 0;
-    rhs.alignment_ = 0;
-    rhs.fd_ = -1;
+    const_cast<const char*&>(rhs.file_name_) = nullptr;
+    const_cast<size_t&>(rhs.file_size_) = 0;
+    const_cast<size_t&>(rhs.alignment_) = 0;
+    const_cast<int&>(rhs.fd_) = -1;
   }
 
   ~FileDataLoader() override;
 
-  __ET_NODISCARD Result<FreeableBuffer> load(
+  ET_NODISCARD
+  executorch::runtime::Result<executorch::runtime::FreeableBuffer> load(
       size_t offset,
       size_t size,
-      const DataLoader::SegmentInfo& segment_info) override;
+      const DataLoader::SegmentInfo& segment_info) const override;
 
-  __ET_NODISCARD Result<size_t> size() const override;
+  ET_NODISCARD executorch::runtime::Result<size_t> size() const override;
+
+  ET_NODISCARD executorch::runtime::Error load_into(
+      size_t offset,
+      size_t size,
+      ET_UNUSED const SegmentInfo& segment_info,
+      void* buffer) const override;
 
  private:
   FileDataLoader(
@@ -88,12 +94,21 @@ class FileDataLoader : public DataLoader {
   FileDataLoader& operator=(const FileDataLoader&) = delete;
   FileDataLoader& operator=(FileDataLoader&&) = delete;
 
-  const char* file_name_; // Owned by the instance.
-  size_t file_size_;
-  size_t alignment_;
-  int fd_; // Owned by the instance.
+  const char* const file_name_; // Owned by the instance.
+  const size_t file_size_;
+  const size_t alignment_;
+  const int fd_; // Owned by the instance.
 };
 
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+namespace util {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::FileDataLoader;
 } // namespace util
 } // namespace executor
 } // namespace torch
diff --git a/extension/data_loader/mmap_data_loader.cpp b/extension/data_loader/mmap_data_loader.cpp
index 2e3c0c6a60..ebe74f9526 100644
--- a/extension/data_loader/mmap_data_loader.cpp
+++ b/extension/data_loader/mmap_data_loader.cpp
@@ -22,9 +22,12 @@
 #include <executorch/runtime/core/result.h>
 #include <executorch/runtime/platform/log.h>
 
-namespace torch {
-namespace executor {
-namespace util {
+using executorch::runtime::Error;
+using executorch::runtime::FreeableBuffer;
+using executorch::runtime::Result;
+
+namespace executorch {
+namespace extension {
 
 namespace {
 
@@ -149,7 +152,7 @@ void MunmapSegment(void* context, void* data, size_t size) {
 Result<FreeableBuffer> MmapDataLoader::load(
     size_t offset,
     size_t size,
-    __ET_UNUSED const DataLoader::SegmentInfo& segment_info) {
+    ET_UNUSED const DataLoader::SegmentInfo& segment_info) const {
   ET_CHECK_OR_RETURN_ERROR(
       // Probably had its value moved to another instance.
       fd_ >= 0,
@@ -254,6 +257,5 @@ Result<size_t> MmapDataLoader::size() const {
   return file_size_;
 }
 
-} // namespace util
-} // namespace executor
-} // namespace torch
+} // namespace extension
+} // namespace executorch
diff --git a/extension/data_loader/mmap_data_loader.h b/extension/data_loader/mmap_data_loader.h
index 5bb11b912b..c55f81a490 100644
--- a/extension/data_loader/mmap_data_loader.h
+++ b/extension/data_loader/mmap_data_loader.h
@@ -12,9 +12,8 @@
 #include <executorch/runtime/core/result.h>
 #include <executorch/runtime/platform/compiler.h>
 
-namespace torch {
-namespace executor {
-namespace util {
+namespace executorch {
+namespace extension {
 
 /**
  * A DataLoader that loads segments from a file, allocating the memory
@@ -23,7 +22,7 @@ namespace util {
  * Note that this will keep the file open for the duration of its lifetime, to
  * avoid the overhead of opening it again for every load() call.
  */
-class MmapDataLoader : public DataLoader {
+class MmapDataLoader final : public executorch::runtime::DataLoader {
  public:
   /**
    * Describes how and whether to lock loaded pages with `mlock()`.
@@ -51,20 +50,22 @@ class MmapDataLoader : public DataLoader {
    * @param[in] mlock_config How and whether to lock loaded pages with
    *     `mlock()`.
    */
-  static Result<MmapDataLoader> from(
+  static executorch::runtime::Result<MmapDataLoader> from(
       const char* file_name,
       MlockConfig mlock_config = MlockConfig::UseMlock);
 
   /// DEPRECATED: Use the lowercase `from()` instead.
-  __ET_DEPRECATED static Result<MmapDataLoader> From(
+  ET_DEPRECATED static executorch::runtime::Result<MmapDataLoader> From(
       const char* file_name,
       MlockConfig mlock_config = MlockConfig::UseMlock) {
     return from(file_name, mlock_config);
   }
 
   /// DEPRECATED: Use the version of `from()` that takes an MlockConfig.
-  __ET_DEPRECATED
-  static Result<MmapDataLoader> From(const char* file_name, bool use_mlock) {
+  ET_DEPRECATED
+  static executorch::runtime::Result<MmapDataLoader> From(
+      const char* file_name,
+      bool use_mlock) {
     MlockConfig mlock_config =
         use_mlock ? MlockConfig::UseMlock : MlockConfig::NoMlock;
     return from(file_name, mlock_config);
@@ -77,21 +78,22 @@ class MmapDataLoader : public DataLoader {
         page_size_(rhs.page_size_),
         fd_(rhs.fd_),
         mlock_config_(rhs.mlock_config_) {
-    rhs.file_name_ = nullptr;
-    rhs.file_size_ = 0;
-    rhs.page_size_ = 0;
-    rhs.fd_ = -1;
-    rhs.mlock_config_ = MlockConfig::NoMlock;
+    const_cast<const char*&>(rhs.file_name_) = nullptr;
+    const_cast<size_t&>(rhs.file_size_) = 0;
+    const_cast<size_t&>(rhs.page_size_) = 0;
+    const_cast<int&>(rhs.fd_) = -1;
+    const_cast<MlockConfig&>(rhs.mlock_config_) = MlockConfig::NoMlock;
   }
 
   ~MmapDataLoader() override;
 
-  __ET_NODISCARD Result<FreeableBuffer> load(
+  ET_NODISCARD
+  executorch::runtime::Result<executorch::runtime::FreeableBuffer> load(
       size_t offset,
       size_t size,
-      const DataLoader::SegmentInfo& segment_info) override;
+      const DataLoader::SegmentInfo& segment_info) const override;
 
-  __ET_NODISCARD Result<size_t> size() const override;
+  ET_NODISCARD executorch::runtime::Result<size_t> size() const override;
 
  private:
   MmapDataLoader(
@@ -111,13 +113,22 @@ class MmapDataLoader : public DataLoader {
   MmapDataLoader& operator=(const MmapDataLoader&) = delete;
   MmapDataLoader& operator=(MmapDataLoader&&) = delete;
 
-  const char* file_name_; // String data is owned by the instance.
-  size_t file_size_;
-  size_t page_size_;
-  int fd_; // Owned by the instance.
-  MlockConfig mlock_config_;
+  const char* const file_name_; // String data is owned by the instance.
+  const size_t file_size_;
+  const size_t page_size_;
+  const int fd_; // Owned by the instance.
+  const MlockConfig mlock_config_;
 };
 
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+namespace util {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::MmapDataLoader;
 } // namespace util
 } // namespace executor
 } // namespace torch
diff --git a/extension/data_loader/shared_ptr_data_loader.h b/extension/data_loader/shared_ptr_data_loader.h
index 1328b459c5..551ab4d498 100644
--- a/extension/data_loader/shared_ptr_data_loader.h
+++ b/extension/data_loader/shared_ptr_data_loader.h
@@ -14,9 +14,8 @@
 #include <executorch/runtime/platform/log.h>
 #include <memory>
 
-namespace torch {
-namespace executor {
-namespace util {
+namespace executorch {
+namespace extension {
 
 /**
  * A DataLoader that wraps a pre-allocated buffer and shares ownership to it.
@@ -24,15 +23,16 @@ namespace util {
  *
  * This can be used to wrap data that was allocated elsewhere.
  */
-class SharedPtrDataLoader : public DataLoader {
+class SharedPtrDataLoader final : public executorch::runtime::DataLoader {
  public:
   SharedPtrDataLoader(std::shared_ptr<void> data, size_t size)
       : data_(data), size_(size) {}
 
-  __ET_NODISCARD Result<FreeableBuffer> load(
+  ET_NODISCARD
+  executorch::runtime::Result<executorch::runtime::FreeableBuffer> load(
       size_t offset,
       size_t size,
-      __ET_UNUSED const DataLoader::SegmentInfo& segment_info) override {
+      ET_UNUSED const DataLoader::SegmentInfo& segment_info) const override {
     ET_CHECK_OR_RETURN_ERROR(
         offset + size <= size_,
         InvalidArgument,
@@ -40,11 +40,11 @@ class SharedPtrDataLoader : public DataLoader {
         offset,
         size,
         size_);
-    return FreeableBuffer(
+    return executorch::runtime::FreeableBuffer(
         static_cast<uint8_t*>(data_.get()) + offset, size, /*free_fn=*/nullptr);
   }
 
-  __ET_NODISCARD Result<size_t> size() const override {
+  ET_NODISCARD executorch::runtime::Result<size_t> size() const override {
     return size_;
   }
 
@@ -53,6 +53,15 @@ class SharedPtrDataLoader : public DataLoader {
   const size_t size_;
 };
 
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+namespace util {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::SharedPtrDataLoader;
 } // namespace util
 } // namespace executor
 } // namespace torch
diff --git a/extension/data_loader/test/buffer_data_loader_test.cpp b/extension/data_loader/test/buffer_data_loader_test.cpp
index 1d072229b7..83d053ee46 100644
--- a/extension/data_loader/test/buffer_data_loader_test.cpp
+++ b/extension/data_loader/test/buffer_data_loader_test.cpp
@@ -16,18 +16,18 @@
 #include <executorch/runtime/platform/runtime.h>
 
 using namespace ::testing;
-using torch::executor::DataLoader;
-using torch::executor::Error;
-using torch::executor::FreeableBuffer;
-using torch::executor::Result;
-using torch::executor::util::BufferDataLoader;
+using executorch::extension::BufferDataLoader;
+using executorch::runtime::DataLoader;
+using executorch::runtime::Error;
+using executorch::runtime::FreeableBuffer;
+using executorch::runtime::Result;
 
 class BufferDataLoaderTest : public ::testing::Test {
  protected:
   void SetUp() override {
     // Since these tests cause ET_LOG to be called, the PAL must be initialized
     // first.
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
   }
 };
 
@@ -133,3 +133,56 @@ TEST_F(BufferDataLoaderTest, OutOfBoundsLoadFails) {
     EXPECT_NE(fb.error(), Error::Ok);
   }
 }
+
+TEST_F(BufferDataLoaderTest, LoadIntoNullDstFails) {
+  // Wrap some data in a loader.
+  uint8_t data[256] = {};
+  BufferDataLoader edl(data, sizeof(data));
+
+  // Loading beyond the end of the data should fail.
+  {
+    Result<FreeableBuffer> fb = edl.load_into(
+        /*offset=*/0,
+        /*size=*/1,
+        /*segment_info=*/
+        DataLoader::SegmentInfo(DataLoader::SegmentInfo::Type::Program),
+        nullptr);
+    EXPECT_NE(fb.error(), Error::Ok);
+  }
+
+  // Loading zero bytes still fails if dst is null.
+  {
+    Result<FreeableBuffer> fb = edl.load_into(
+        /*offset=*/0,
+        /*size=*/0,
+        /*segment_info=*/
+        DataLoader::SegmentInfo(DataLoader::SegmentInfo::Type::Program),
+        nullptr);
+    EXPECT_NE(fb.error(), Error::Ok);
+  }
+}
+
+TEST_F(BufferDataLoaderTest, InBoundsLoadIntoSucceeds) {
+  // Wrap some data in a loader.
+  uint8_t data[256] = {};
+  data[0] = 1;
+  uint8_t buffer[256] = {};
+  buffer[0] = 0;
+  BufferDataLoader edl(data, sizeof(data));
+
+  {
+    // Buffer contains 0 before load_into.
+    EXPECT_EQ(buffer[0], 0);
+    Error fb = edl.load_into(
+        /*offset=*/0,
+        /*size=*/1,
+        /*segment_info=*/
+        DataLoader::SegmentInfo(DataLoader::SegmentInfo::Type::Program),
+        buffer);
+    EXPECT_EQ(fb, Error::Ok);
+    // Buffer contains 1 after load_into.
+    EXPECT_EQ(buffer[0], 1);
+    // Data is unaltered.
+    EXPECT_EQ(data[0], 1);
+  }
+}
diff --git a/extension/data_loader/test/file_data_loader_test.cpp b/extension/data_loader/test/file_data_loader_test.cpp
index f7081565fd..1d4f4c1619 100644
--- a/extension/data_loader/test/file_data_loader_test.cpp
+++ b/extension/data_loader/test/file_data_loader_test.cpp
@@ -18,19 +18,19 @@
 #include <executorch/test/utils/alignment.h>
 
 using namespace ::testing;
-using torch::executor::DataLoader;
-using torch::executor::Error;
-using torch::executor::FreeableBuffer;
-using torch::executor::Result;
-using torch::executor::testing::TempFile;
-using torch::executor::util::FileDataLoader;
+using executorch::extension::FileDataLoader;
+using executorch::extension::testing::TempFile;
+using executorch::runtime::DataLoader;
+using executorch::runtime::Error;
+using executorch::runtime::FreeableBuffer;
+using executorch::runtime::Result;
 
 class FileDataLoaderTest : public ::testing::TestWithParam<size_t> {
  protected:
   void SetUp() override {
     // Since these tests cause ET_LOG to be called, the PAL must be initialized
     // first.
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
   }
 
   // The alignment in bytes that tests should use. The values are set by the
diff --git a/extension/data_loader/test/mmap_data_loader_test.cpp b/extension/data_loader/test/mmap_data_loader_test.cpp
index b6781bc448..a76121109a 100644
--- a/extension/data_loader/test/mmap_data_loader_test.cpp
+++ b/extension/data_loader/test/mmap_data_loader_test.cpp
@@ -19,19 +19,19 @@
 #include <executorch/runtime/platform/runtime.h>
 
 using namespace ::testing;
-using torch::executor::DataLoader;
-using torch::executor::Error;
-using torch::executor::FreeableBuffer;
-using torch::executor::Result;
-using torch::executor::testing::TempFile;
-using torch::executor::util::MmapDataLoader;
+using executorch::extension::MmapDataLoader;
+using executorch::extension::testing::TempFile;
+using executorch::runtime::DataLoader;
+using executorch::runtime::Error;
+using executorch::runtime::FreeableBuffer;
+using executorch::runtime::Result;
 
 class MmapDataLoaderTest : public ::testing::Test {
  protected:
   void SetUp() override {
     // Since these tests cause ET_LOG to be called, the PAL must be initialized
     // first.
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
 
     // Get the page size and ensure it's a power of 2.
     long page_size = sysconf(_SC_PAGESIZE);
diff --git a/extension/data_loader/test/shared_ptr_data_loader_test.cpp b/extension/data_loader/test/shared_ptr_data_loader_test.cpp
index b4fc153cab..62d71ae056 100644
--- a/extension/data_loader/test/shared_ptr_data_loader_test.cpp
+++ b/extension/data_loader/test/shared_ptr_data_loader_test.cpp
@@ -17,18 +17,18 @@
 #include <executorch/runtime/platform/runtime.h>
 
 using namespace ::testing;
-using torch::executor::DataLoader;
-using torch::executor::Error;
-using torch::executor::FreeableBuffer;
-using torch::executor::Result;
-using torch::executor::util::SharedPtrDataLoader;
+using executorch::extension::SharedPtrDataLoader;
+using executorch::runtime::DataLoader;
+using executorch::runtime::Error;
+using executorch::runtime::FreeableBuffer;
+using executorch::runtime::Result;
 
 class SharedPtrDataLoaderTest : public ::testing::Test {
  protected:
   void SetUp() override {
     // Since these tests cause ET_LOG to be called, the PAL must be initialized
     // first.
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
   }
 };
 
diff --git a/extension/evalue_util/print_evalue.cpp b/extension/evalue_util/print_evalue.cpp
index 21180cf5d2..7d29b5780c 100644
--- a/extension/evalue_util/print_evalue.cpp
+++ b/extension/evalue_util/print_evalue.cpp
@@ -16,8 +16,10 @@
 #include <ostream>
 #include <sstream>
 
-namespace torch {
-namespace executor {
+using exec_aten::ScalarType;
+
+namespace executorch {
+namespace extension {
 
 namespace {
 
@@ -102,7 +104,7 @@ void print_scalar_list(
       // We've printed a full line, so wrap and begin a new one.
       os << "\n  ";
     }
-    os << EValue(exec_aten::Scalar(list[i]));
+    os << executorch::runtime::EValue(exec_aten::Scalar(list[i]));
     if (wrapping || i < list.size() - 1) {
       // No trailing comma when not wrapping. Always a trailing comma when
       // wrapping. This will leave a trailing space at the end of every wrapped
@@ -149,12 +151,13 @@ void print_tensor(std::ostream& os, exec_aten::Tensor tensor) {
   //
   // TODO(T159700776): Format multidimensional data like numpy/PyTorch does.
   // https://github.com/pytorch/pytorch/blob/main/torch/_tensor_str.py
-#define PRINT_TENSOR_DATA(ctype, dtype)                                  \
-  case ScalarType::dtype:                                                \
-    print_scalar_list(                                                   \
-        os,                                                              \
-        ArrayRef<ctype>(tensor.const_data_ptr<ctype>(), tensor.numel()), \
-        /*print_length=*/false);                                         \
+#define PRINT_TENSOR_DATA(ctype, dtype)                      \
+  case ScalarType::dtype:                                    \
+    print_scalar_list(                                       \
+        os,                                                  \
+        exec_aten::ArrayRef<ctype>(                          \
+            tensor.const_data_ptr<ctype>(), tensor.numel()), \
+        /*print_length=*/false);                             \
     break;
 
   switch (tensor.scalar_type()) {
@@ -211,7 +214,20 @@ void print_list_optional_tensor(
 
 } // namespace
 
+void evalue_edge_items::set_edge_items(std::ostream& os, long edge_items) {
+  os.iword(get_edge_items_xalloc()) = edge_items;
+}
+
+} // namespace extension
+} // namespace executorch
+
+namespace executorch {
+namespace runtime {
+
+// This needs to live in the same namespace as EValue.
 std::ostream& operator<<(std::ostream& os, const EValue& value) {
+  using namespace executorch::extension;
+
   switch (value.tag) {
     case Tag::None:
       os << "None";
@@ -258,13 +274,5 @@ std::ostream& operator<<(std::ostream& os, const EValue& value) {
   return os;
 }
 
-namespace util {
-
-void evalue_edge_items::set_edge_items(std::ostream& os, long edge_items) {
-  os.iword(get_edge_items_xalloc()) = edge_items;
-}
-
-} // namespace util
-
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
diff --git a/extension/evalue_util/print_evalue.h b/extension/evalue_util/print_evalue.h
index 8b9494f354..e7e8ea1561 100644
--- a/extension/evalue_util/print_evalue.h
+++ b/extension/evalue_util/print_evalue.h
@@ -12,16 +12,18 @@
 
 #include <executorch/runtime/core/evalue.h>
 
-namespace torch {
-namespace executor {
-
+namespace executorch {
+namespace runtime {
 /**
  * Prints an Evalue to a stream.
  */
 std::ostream& operator<<(std::ostream& os, const EValue& value);
 // Note that this must be declared in the same namespace as EValue.
+} // namespace runtime
+} // namespace executorch
 
-namespace util {
+namespace executorch {
+namespace extension {
 
 /**
  * Sets the number of "edge items" when printing EValue lists to a stream.
@@ -67,6 +69,15 @@ class evalue_edge_items final {
   const long edge_items_;
 };
 
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+namespace util {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::evalue_edge_items;
 } // namespace util
 } // namespace executor
 } // namespace torch
diff --git a/extension/export_util/export_hf_model.py b/extension/export_util/export_hf_model.py
new file mode 100644
index 0000000000..12ed202988
--- /dev/null
+++ b/extension/export_util/export_hf_model.py
@@ -0,0 +1,110 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import argparse
+import os
+
+import torch
+import torch.export._trace
+from executorch.backends.xnnpack.partition.xnnpack_partitioner import XnnpackPartitioner
+from executorch.exir import EdgeCompileConfig, ExecutorchBackendConfig, to_edge
+from torch.nn.attention import SDPBackend
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from transformers.generation.configuration_utils import GenerationConfig
+from transformers.integrations.executorch import convert_and_export_with_cache
+from transformers.modeling_utils import PreTrainedModel
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "-hfm",
+        "--hf_model_repo",
+        required=True,
+        default=None,
+        help="a valid huggingface model repo name",
+    )
+    parser.add_argument(
+        "-o",
+        "--output_name",
+        required=False,
+        default=None,
+        help="output name of the exported model",
+    )
+
+    args = parser.parse_args()
+
+    # Configs to HF model
+    device = "cpu"
+    dtype = torch.float32
+    batch_size = 1
+    max_length = 123
+    cache_implementation = "static"
+    attn_implementation = "sdpa"
+
+    # Load and configure a HF model
+    model = AutoModelForCausalLM.from_pretrained(
+        args.hf_model_repo,
+        attn_implementation=attn_implementation,
+        device_map=device,
+        torch_dtype=dtype,
+        generation_config=GenerationConfig(
+            use_cache=True,
+            cache_implementation=cache_implementation,
+            max_length=max_length,
+            cache_config={
+                "batch_size": batch_size,
+                "max_cache_len": max_length,
+            },
+        ),
+    )
+    print(f"{model.config}")
+    print(f"{model.generation_config}")
+
+    tokenizer = AutoTokenizer.from_pretrained(args.hf_model_repo)
+    input_ids = tokenizer([""], return_tensors="pt").to(device)["input_ids"]
+    cache_position = torch.tensor([0], dtype=torch.long)
+
+    def _get_constant_methods(model: PreTrainedModel):
+        return {
+            "get_dtype": 5 if model.config.torch_dtype == torch.float16 else 6,
+            "get_bos_id": model.config.bos_token_id,
+            "get_eos_id": model.config.eos_token_id,
+            "get_head_dim": model.config.hidden_size / model.config.num_attention_heads,
+            "get_max_batch_size": model.generation_config.cache_config.batch_size,
+            "get_max_seq_len": model.generation_config.cache_config.max_cache_len,
+            "get_n_bos": 1,
+            "get_n_eos": 1,
+            "get_n_kv_heads": model.config.num_key_value_heads,
+            "get_n_layers": model.config.num_hidden_layers,
+            "get_vocab_size": model.config.vocab_size,
+            "use_kv_cache": model.generation_config.use_cache,
+        }
+
+    with torch.nn.attention.sdpa_kernel([SDPBackend.MATH]), torch.no_grad():
+
+        exported_prog = convert_and_export_with_cache(model, input_ids, cache_position)
+        prog = (
+            to_edge(
+                exported_prog,
+                compile_config=EdgeCompileConfig(
+                    _check_ir_validity=False,
+                    _skip_dim_order=True,
+                ),
+                constant_methods=_get_constant_methods(model),
+            )
+            .to_backend(XnnpackPartitioner())
+            .to_executorch(ExecutorchBackendConfig(extract_delegate_segments=True))
+        )
+        out_name = args.output_name if args.output_name else model.config.model_type
+        filename = os.path.join("./", f"{out_name}.pte")
+        with open(filename, "wb") as f:
+            prog.write_to_file(f)
+            print(f"Saved exported program to {filename}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/extension/export_util/utils.py b/extension/export_util/utils.py
index 5c2700e6f5..40ceb6ffec 100644
--- a/extension/export_util/utils.py
+++ b/extension/export_util/utils.py
@@ -14,8 +14,7 @@
 import torch
 from executorch.exir import EdgeProgramManager, ExecutorchProgramManager, to_edge
 from executorch.exir.tracer import Value
-from torch._export import capture_pre_autograd_graph
-from torch.export import export, ExportedProgram
+from torch.export import export, export_for_training, ExportedProgram
 
 
 _EDGE_COMPILE_CONFIG = exir.EdgeCompileConfig(
@@ -63,7 +62,7 @@ def _core_aten_to_edge(
         compile_config=edge_compile_config,
     )
     if verbose:
-        logging.info(f"Exported graph:\n{edge_manager.exported_program().graph}")
+        logging.info(f"Exported graph:\n{edge_manager.exported_program()}")
     return edge_manager
 
 
@@ -95,7 +94,7 @@ def export_to_exec_prog(
 ) -> ExecutorchProgramManager:
     m = model.eval()
     # pre-autograd export. eventually this will become torch.export
-    m = capture_pre_autograd_graph(m, example_inputs)
+    m = export_for_training(m, example_inputs).module()
 
     core_aten_ep = _to_core_aten(m, example_inputs, dynamic_shapes, strict=strict)
 
diff --git a/extension/gguf_util/converters/llama_converter.py b/extension/gguf_util/converters/llama_converter.py
index dc16cd7dff..463e5a0fcf 100644
--- a/extension/gguf_util/converters/llama_converter.py
+++ b/extension/gguf_util/converters/llama_converter.py
@@ -99,8 +99,8 @@ def convert_to_pte(gguf_model_args: GGUFModelArgs, gguf_weights: GGUFWeights) ->
     """Convert a GGUF model into an ExecuTorch program.
 
     Args:
-        model_args: The arguments for the GGUF model.
-        weights: The weights of the GGUF model.
+        gguf_model_args: The arguments for the GGUF model.
+        gguf_weights: The weights of the GGUF model.
     """
 
     assert (
diff --git a/extension/kernel_util/README.md b/extension/kernel_util/README.md
index a3a1e653bd..be6afb58fa 100644
--- a/extension/kernel_util/README.md
+++ b/extension/kernel_util/README.md
@@ -2,10 +2,10 @@ This header file `make_boxed_from_unboxed_functor.h` defines a template that can
 ## Requirements
 This header requires C++17 or later.
 ## Usage
-The template takes an unboxed function pointer and wraps it into a functor that takes `RuntimeContext` and `EValues` as inputs and returns void. The wrapped functor will unbox all inputs and forward them to the unboxed kernel.
+The template takes an unboxed function pointer and wraps it into a functor that takes `KernelRuntimeContext` and `EValues` as inputs and returns void. The wrapped functor will unbox all inputs and forward them to the unboxed kernel.
 Here is an example of how to use the template:
 ```C++
-Tensor& my_op(RuntimeContext& ctx, const Tensor& self, const Tensor& other, Tensor& out) {
+Tensor& my_op(KernelRuntimeContext& ctx, const Tensor& self, const Tensor& other, Tensor& out) {
   // ...
   return out;
 }
@@ -17,7 +17,7 @@ Alternatively, you can use the EXECUTORCH_LIBRARY macro to simplify the process:
 EXECUTORCH_LIBRARY(my_ns, "my_op", my_op);
 ```
 ## Details
-The template uses a lot of C++17 features to convert each EValue to the inferred argument type. It checks if the first argument is `RuntimeContext`, and if so, it removes it. The call method of the `WrapUnboxedIntoFunctor` struct calls the unboxed function with the corresponding arguments.
+The template uses a lot of C++17 features to convert each EValue to the inferred argument type. It checks if the first argument is `KernelRuntimeContext`, and if so, it removes it. The call method of the `WrapUnboxedIntoFunctor` struct calls the unboxed function with the corresponding arguments.
 The `EXECUTORCH_LIBRARY` macro registers the kernel for the operation and stores the result in a static variable.
 ## Note
-The `RuntimeContext` is a placeholder for a context that will be passed to kernels. It is currently empty, but it is planned to be used for kernel temp memory allocation and error handling in the future.
+The `KernelRuntimeContext` is a context object that lets kernels handle errors and allocate temp memory. It can be used to add support for other actions in the future.
diff --git a/extension/kernel_util/make_boxed_from_unboxed_functor.h b/extension/kernel_util/make_boxed_from_unboxed_functor.h
index 752a34f490..409c981cbb 100644
--- a/extension/kernel_util/make_boxed_from_unboxed_functor.h
+++ b/extension/kernel_util/make_boxed_from_unboxed_functor.h
@@ -13,8 +13,9 @@
 /// Example usage:
 /// ```
 /// Tensor&
-/// my_op(RuntimeContext& ctx, const Tensor& self, const Tensor& other, Tensor&
-/// out) {
+/// my_op(KernelRuntimeContext& ctx, const Tensor& self, const Tensor& other,
+///       Tensor& out)
+/// {
 ///   // ...
 ///   return out;
 /// }
@@ -47,13 +48,19 @@
 #include <type_traits>
 #include <typeinfo>
 
-namespace torch {
-namespace executor {
-
+namespace executorch {
+namespace runtime {
 class KernelRuntimeContext; // Forward declaration
-using RuntimeContext = KernelRuntimeContext; // TODO(T147221312): Remove
+} // namespace runtime
+} // namespace executorch
+
+namespace executorch {
+namespace extension {
+
+// This extension has a lot of generic internal names like "size"; use a unique
+// internal namespace to avoid conflicts with other extensions.
+namespace kernel_util_internal {
 
-// evalue_to_arg
 template <class T>
 struct decay_if_not_tensor final {
   using type = std::decay_t<T>;
@@ -69,45 +76,44 @@ struct decay_if_not_tensor<const exec_aten::Tensor&> final {
 
 template <class T>
 struct evalue_to_arg final {
-  static T call(EValue& v) {
+  static T call(executorch::runtime::EValue& v) {
     return std::move(v).to<T>();
   }
 };
 
 template <>
 struct evalue_to_arg<exec_aten::Tensor&> final {
-  static exec_aten::Tensor& call(EValue& v) {
+  static exec_aten::Tensor& call(executorch::runtime::EValue& v) {
     return v.toTensor();
   }
 };
 
 template <>
 struct evalue_to_arg<const exec_aten::Tensor&> final {
-  static const exec_aten::Tensor& call(EValue& v) {
+  static const exec_aten::Tensor& call(executorch::runtime::EValue& v) {
     return v.toTensor();
   }
 };
 
 template <class T>
 struct evalue_to_arg<exec_aten::optional<T>> final {
-  static exec_aten::optional<T> call(EValue& v) {
+  static exec_aten::optional<T> call(executorch::runtime::EValue& v) {
     return v.toOptional<T>();
   }
 };
 
 template <class T>
 struct evalue_to_arg<exec_aten::ArrayRef<exec_aten::optional<T>>> final {
-  static exec_aten::ArrayRef<exec_aten::optional<T>> call(EValue& v) {
+  static exec_aten::ArrayRef<exec_aten::optional<T>> call(
+      executorch::runtime::EValue& v) {
     return v.toListOptionalTensor();
   }
 };
 
-// Call functor with args from stack
-
 template <class Functor, size_t... evalue_arg_indices, typename... ArgTypes>
-void call_functor_with_args_from_stack_(
-    RuntimeContext& ctx,
-    EValue** stack,
+void call_functor_with_args_from_stack(
+    ::executorch::runtime::KernelRuntimeContext& ctx,
+    executorch::runtime::EValue** stack,
     std::index_sequence<evalue_arg_indices...>,
     typelist<ArgTypes...>*) {
   (*Functor::func_ptr())(
@@ -116,6 +122,8 @@ void call_functor_with_args_from_stack_(
           *stack[evalue_arg_indices])...);
 }
 
+} // namespace kernel_util_internal
+
 /**
  * WrapUnboxedIntoFunctor: Given a function pointer, wrap it into a functor that
  * takes EValues as input and returns void. The wrapped functor will unbox all
@@ -124,23 +132,29 @@ void call_functor_with_args_from_stack_(
 template <class FuncType>
 struct WrapUnboxedIntoFunctor {
   static_assert(
-      is_compile_time_function_pointer<FuncType>::value,
+      kernel_util_internal::is_compile_time_function_pointer<FuncType>::value,
       "Can't handle function other than EXECUTORCH_FN");
   using TrueType = typename FuncType::FuncType;
-  using ReturnType = typename infer_function_traits_t<TrueType>::return_type;
-  using ArgsType = typename infer_function_traits_t<TrueType>::parameter_types;
-  // check if the first argument is RuntimeContext, if so, remove it
+  using ReturnType = typename kernel_util_internal::infer_function_traits_t<
+      TrueType>::return_type;
+  using ArgsType = typename kernel_util_internal::infer_function_traits_t<
+      TrueType>::parameter_types;
+  // check if the first argument is KernelRuntimeContext, if so, remove it
   static constexpr bool first_arg_is_context = std::is_same<
-      RuntimeContext,
-      std::remove_reference_t<head_with_default_t<void, ArgsType>>>::value;
+      ::executorch::runtime::KernelRuntimeContext,
+      std::remove_reference_t<
+          kernel_util_internal::head_with_default_t<void, ArgsType>>>::value;
   using ContextRemovedArgsType = std::conditional_t<
       first_arg_is_context,
-      drop_if_nonempty_t<ArgsType, 1>,
+      kernel_util_internal::drop_if_nonempty_t<ArgsType, 1>,
       ArgsType>;
 
-  static void call(RuntimeContext& ctx, EValue** stack) {
-    constexpr size_t num_inputs = size<ContextRemovedArgsType>::value;
-    return call_functor_with_args_from_stack_<FuncType>(
+  static void call(
+      ::executorch::runtime::KernelRuntimeContext& ctx,
+      executorch::runtime::EValue** stack) {
+    constexpr size_t num_inputs =
+        kernel_util_internal::size<ContextRemovedArgsType>::value;
+    return kernel_util_internal::call_functor_with_args_from_stack<FuncType>(
         ctx,
         stack,
         std::make_index_sequence<num_inputs>(),
@@ -149,14 +163,26 @@ struct WrapUnboxedIntoFunctor {
 };
 
 template <typename FuncType>
-static Kernel make_boxed_kernel(const char* name, FuncType) {
-  return Kernel(name, WrapUnboxedIntoFunctor<FuncType>::call);
+static executorch::runtime::Kernel make_boxed_kernel(
+    const char* name,
+    FuncType) {
+  return executorch::runtime::Kernel(
+      name, WrapUnboxedIntoFunctor<FuncType>::call);
 }
 
-} // namespace executor
-} // namespace torch
+} // namespace extension
+} // namespace executorch
 
-#define EXECUTORCH_LIBRARY(ns, op_name, func)                 \
-  static auto res_##ns = ::torch::executor::register_kernels( \
-      ::torch::executor::make_boxed_kernel(                   \
+#define EXECUTORCH_LIBRARY(ns, op_name, func)                    \
+  static auto res_##ns = ::executorch::runtime::register_kernel( \
+      ::executorch::extension::make_boxed_kernel(                \
           #ns "::" op_name, EXECUTORCH_FN(func)))
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::make_boxed_kernel;
+using ::executorch::extension::WrapUnboxedIntoFunctor;
+} // namespace executor
+} // namespace torch
diff --git a/extension/kernel_util/meta_programming.h b/extension/kernel_util/meta_programming.h
index c412e907ea..027568fe68 100644
--- a/extension/kernel_util/meta_programming.h
+++ b/extension/kernel_util/meta_programming.h
@@ -17,8 +17,11 @@
 #include <type_traits>
 #include <typeinfo>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace extension {
+// This extension has a lot of generic internal names like "size"; use a unique
+// internal namespace to avoid conflicts with other extensions.
+namespace kernel_util_internal {
 
 // Check if a given type is a function
 template <class T>
@@ -48,9 +51,9 @@ template <class FuncType, FuncType* func_ptr>
 struct is_compile_time_function_pointer<
     CompileTimeFunctionPointer<FuncType, func_ptr>> : std::true_type {};
 
-#define EXECUTORCH_FN_TYPE(func)                                      \
-  ::torch::executor::CompileTimeFunctionPointer<                      \
-      std::remove_pointer_t<std::remove_reference_t<decltype(func)>>, \
+#define EXECUTORCH_FN_TYPE(func)                                             \
+  ::executorch::extension::kernel_util_internal::CompileTimeFunctionPointer< \
+      std::remove_pointer_t<std::remove_reference_t<decltype(func)>>,        \
       func>
 #define EXECUTORCH_FN(func) EXECUTORCH_FN_TYPE(func)()
 
@@ -111,5 +114,6 @@ struct infer_function_traits<Result(Args...)> {
 template <typename T>
 using infer_function_traits_t = typename infer_function_traits<T>::type;
 
-} // namespace executor
-} // namespace torch
+} // namespace kernel_util_internal
+} // namespace extension
+} // namespace executorch
diff --git a/extension/kernel_util/test/make_boxed_from_unboxed_functor_test.cpp b/extension/kernel_util/test/make_boxed_from_unboxed_functor_test.cpp
index b75a8f160a..dce3694d51 100644
--- a/extension/kernel_util/test/make_boxed_from_unboxed_functor_test.cpp
+++ b/extension/kernel_util/test/make_boxed_from_unboxed_functor_test.cpp
@@ -15,22 +15,32 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-using RuntimeContext = torch::executor::KernelRuntimeContext;
-using namespace torch::executor;
-
-Tensor& my_op_out(RuntimeContext& ctx, const Tensor& a, Tensor& out) {
+using exec_aten::ArrayRef;
+using exec_aten::optional;
+using exec_aten::ScalarType;
+using exec_aten::Tensor;
+using exec_aten::TensorImpl;
+using executorch::runtime::BoxedEvalueList;
+using executorch::runtime::Error;
+using executorch::runtime::EValue;
+using executorch::runtime::get_op_function_from_registry;
+using executorch::runtime::KernelRuntimeContext;
+using executorch::runtime::registry_has_op_function;
+
+Tensor& my_op_out(KernelRuntimeContext& ctx, const Tensor& a, Tensor& out) {
   (void)ctx;
   (void)a;
   return out;
 }
 
-Tensor& set_1_out(RuntimeContext& ctx, Tensor& out) {
+Tensor& set_1_out(KernelRuntimeContext& ctx, Tensor& out) {
   (void)ctx;
   out.mutable_data_ptr<int32_t>()[0] = 1;
   return out;
 }
 
-Tensor& add_tensor_out(RuntimeContext& ctx, ArrayRef<Tensor> a, Tensor& out) {
+Tensor&
+add_tensor_out(KernelRuntimeContext& ctx, ArrayRef<Tensor> a, Tensor& out) {
   (void)ctx;
   for (int i = 0; i < out.numel(); i++) {
     int sum = 0;
@@ -43,7 +53,7 @@ Tensor& add_tensor_out(RuntimeContext& ctx, ArrayRef<Tensor> a, Tensor& out) {
 }
 
 Tensor& add_optional_scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     optional<int64_t> s1,
     optional<int64_t> s2,
     Tensor& out) {
@@ -58,7 +68,7 @@ Tensor& add_optional_scalar_out(
 }
 
 Tensor& add_optional_tensor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     ArrayRef<optional<Tensor>> a,
     Tensor& out) {
   (void)ctx;
@@ -82,12 +92,12 @@ class MakeBoxedFromUnboxedFunctorTest : public ::testing::Test {
 
 TEST_F(MakeBoxedFromUnboxedFunctorTest, Basic) {
   EXECUTORCH_LIBRARY(my_ns, "my_op.out", my_op_out);
-  EXPECT_TRUE(hasOpsFn("my_ns::my_op.out"));
+  EXPECT_TRUE(registry_has_op_function("my_ns::my_op.out"));
 }
 
 TEST_F(MakeBoxedFromUnboxedFunctorTest, UnboxLogicWorks) {
   EXECUTORCH_LIBRARY(my_ns, "set_1.out", set_1_out);
-  EXPECT_TRUE(hasOpsFn("my_ns::set_1.out"));
+  EXPECT_TRUE(registry_has_op_function("my_ns::set_1.out"));
 
   // prepare out tensor
   TensorImpl::SizesType sizes[1] = {5};
@@ -97,16 +107,17 @@ TEST_F(MakeBoxedFromUnboxedFunctorTest, UnboxLogicWorks) {
   auto a = Tensor(&a_impl);
 
   // get boxed callable
-  auto fn = getOpsFn("my_ns::set_1.out");
+  auto fn = get_op_function_from_registry("my_ns::set_1.out");
+  ASSERT_EQ(fn.error(), Error::Ok);
 
   // run it
-  RuntimeContext context;
+  KernelRuntimeContext context;
   EValue values[1];
   values[0] = a;
   EValue* stack[1];
   stack[0] = &values[0];
 
-  fn(context, stack);
+  (*fn)(context, stack);
 
   // check result
   EXPECT_EQ(a.const_data_ptr<int32_t>()[0], 1);
@@ -114,7 +125,7 @@ TEST_F(MakeBoxedFromUnboxedFunctorTest, UnboxLogicWorks) {
 
 TEST_F(MakeBoxedFromUnboxedFunctorTest, UnboxArrayRef) {
   EXECUTORCH_LIBRARY(my_ns, "add_tensor.out", add_tensor_out);
-  EXPECT_TRUE(hasOpsFn("my_ns::add_tensor.out"));
+  EXPECT_TRUE(registry_has_op_function("my_ns::add_tensor.out"));
 
   // prepare ArrayRef input.
   torch::executor::testing::TensorFactory<ScalarType::Int> tf;
@@ -126,13 +137,14 @@ TEST_F(MakeBoxedFromUnboxedFunctorTest, UnboxArrayRef) {
   // prepare out tensor.
   EValue out(tf.zeros({5}));
 
-  auto fn = getOpsFn("my_ns::add_tensor.out");
+  auto fn = get_op_function_from_registry("my_ns::add_tensor.out");
+  ASSERT_EQ(fn.error(), Error::Ok);
 
   // run it.
-  RuntimeContext context;
+  KernelRuntimeContext context;
   EValue values[2] = {boxed_array_ref, out};
   EValue* stack[2] = {&values[0], &values[1]};
-  fn(context, stack);
+  (*fn)(context, stack);
 
   // check result.
   for (int i = 0; i < 5; i++) {
@@ -142,7 +154,7 @@ TEST_F(MakeBoxedFromUnboxedFunctorTest, UnboxArrayRef) {
 
 TEST_F(MakeBoxedFromUnboxedFunctorTest, UnboxOptional) {
   EXECUTORCH_LIBRARY(my_ns, "add_optional_scalar.out", add_optional_scalar_out);
-  EXPECT_TRUE(hasOpsFn("my_ns::add_optional_scalar.out"));
+  EXPECT_TRUE(registry_has_op_function("my_ns::add_optional_scalar.out"));
 
   // prepare optional input.
   EValue scalar((int64_t)3);
@@ -151,13 +163,14 @@ TEST_F(MakeBoxedFromUnboxedFunctorTest, UnboxOptional) {
   // prepare out tensor.
   torch::executor::testing::TensorFactory<ScalarType::Int> tf;
   EValue out(tf.ones({1}));
-  auto fn = getOpsFn("my_ns::add_optional_scalar.out");
+  auto fn = get_op_function_from_registry("my_ns::add_optional_scalar.out");
+  ASSERT_EQ(fn.error(), Error::Ok);
 
   // run it.
-  RuntimeContext context;
+  KernelRuntimeContext context;
   EValue values[3] = {scalar, scalar_none, out};
   EValue* stack[3] = {&values[0], &values[1], &values[2]};
-  fn(context, stack);
+  (*fn)(context, stack);
 
   // check result.
   EXPECT_EQ(stack[2]->toTensor().const_data_ptr<int32_t>()[0], 4);
@@ -165,7 +178,7 @@ TEST_F(MakeBoxedFromUnboxedFunctorTest, UnboxOptional) {
 
 TEST_F(MakeBoxedFromUnboxedFunctorTest, UnboxOptionalArrayRef) {
   EXECUTORCH_LIBRARY(my_ns, "add_optional_tensor.out", add_optional_tensor_out);
-  EXPECT_TRUE(hasOpsFn("my_ns::add_optional_tensor.out"));
+  EXPECT_TRUE(registry_has_op_function("my_ns::add_optional_tensor.out"));
 
   // prepare optional tensors.
   torch::executor::testing::TensorFactory<ScalarType::Int> tf;
@@ -177,13 +190,14 @@ TEST_F(MakeBoxedFromUnboxedFunctorTest, UnboxOptionalArrayRef) {
 
   // prepare out tensor.
   EValue out(tf.zeros({5}));
-  auto fn = getOpsFn("my_ns::add_optional_tensor.out");
+  auto fn = get_op_function_from_registry("my_ns::add_optional_tensor.out");
+  ASSERT_EQ(fn.error(), Error::Ok);
 
   // run it.
-  RuntimeContext context;
+  KernelRuntimeContext context;
   EValue values[2] = {boxed_array_ref, out};
   EValue* stack[2] = {&values[0], &values[1]};
-  fn(context, stack);
+  (*fn)(context, stack);
 
   // check result.
   for (int i = 0; i < 5; i++) {
diff --git a/extension/kernel_util/type_list.h b/extension/kernel_util/type_list.h
index f832ab9f26..300cbfcb7c 100644
--- a/extension/kernel_util/type_list.h
+++ b/extension/kernel_util/type_list.h
@@ -20,8 +20,12 @@
 #include <type_traits>
 #include <utility>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace extension {
+// This extension has a lot of generic internal names like "size"; use a unique
+// internal namespace to avoid conflicts with other extensions.
+namespace kernel_util_internal {
+
 /**
  * Type holding a list of types for compile time type computations
  *     constexpr size_t num = size<typelist<int, double>>::value;
@@ -139,5 +143,6 @@ struct drop_if_nonempty final {
 template <class TypeList, size_t num>
 using drop_if_nonempty_t = typename drop_if_nonempty<TypeList, num>::type;
 
-} // namespace executor
-} // namespace torch
+} // namespace kernel_util_internal
+} // namespace extension
+} // namespace executorch
diff --git a/extension/llm/README.md b/extension/llm/README.md
new file mode 100644
index 0000000000..dfc193e41e
--- /dev/null
+++ b/extension/llm/README.md
@@ -0,0 +1,47 @@
+This subtree contains libraries and utils of running generative AI, including Large Language Models (LLM) using ExecuTorch.
+Below is a list of sub folders.
+## export
+Model preparation codes are in _export_ folder. The main entry point is the _LLMEdgeManager_ class. It hosts a _torch.nn.Module_, with a list of methods that can be used to prepare the LLM model for ExecuTorch runtime.
+Note that ExecuTorch supports two [quantization APIs](https://pytorch.org/docs/stable/quantization.html#quantization-api-summary): eager mode quantization (aka source transform based quantization), and PyTorch 2 Export based quantization (aka pt2e quantization).
+Typical methods include:
+- _set_output_dir_: where users want to save the exported .pte file.
+- _to_dtype_: override the data type of the module.
+- _source_transform_: execute a series of source transform passes. Some transform passes include
+  - weight only quantization, which can be done at source (eager mode) level.
+  - replace some torch operators to a custom operator. For example, _replace_sdpa_with_custom_op_.
+- _capture_pre_autograd_graph_: get a graph that is ready for pt2 graph-based quantization.
+- _pt2e_quantize_ with passed in quantizers.
+  - util functions in _quantizer_lib.py_ can help to get different quantizers based on the needs.
+- _export_to_edge_: export to edge dialect
+- _to_backend_: lower the graph to an acceleration backend.
+- _to_executorch_: get the executorch graph with optional optimization passes.
+- _save_to_pte_: finally, the lowered and optimized graph can be saved into a .pte file for the runtime.
+
+Some usage of LLMEdgeManager can be found in executorch/examples/models/llama2, and executorch/examples/models/llava.
+
+When the .pte file is exported and saved, we can prepare a load and run it in a runner.
+
+## tokenizer
+Currently, we support two types of tokenizers: sentencepiece and Tiktoken.
+- In Python:
+  - _utils.py_: get the tokenizer from a model file path, based on the file format.
+  - _tokenizer.py_: rewrite a sentencepiece tokenizer model to a serialization format that the runtime can load.
+- In C++:
+  - _tokenizer.h_: a simple tokenizer interface. Actual tokenizer classes can be implemented based on this. In this folder, we provide two tokenizer implementations:
+  - _bpe_tokenizer_. We need the rewritten version of tokenizer artifact (refer to _tokenizer.py_ above), for bpe tokenizer to work.
+  - _tiktokern_. It's for llama3 and llama3.1.
+
+## sampler
+A sampler class in C++ to sample the logistics given some hyperparameters.
+
+## custom_ops
+It hosts a custom sdpa operator. This sdpa operator implements CPU flash attention, it avoids copies by taking the kv cache as one of the arguments to this custom operator.
+- _sdpa_with_kv_cache.py_, _op_sdpa_aot.cpp_: custom op definition in PyTorch with C++ registration.
+- _op_sdpa.cpp_: the optimized operator implementation and registration of _sdpa_with_kv_cache.out_.
+
+## runner
+It hosts the libary components used in a C++ llm runner. Currently, it hosts _stats.h_ on runtime status like token numbers and latency.
+
+With the components above, an actual runner can be built for a model or a series of models. An exmaple is in //executorch/examples/models/llama2/runner, where a C++ runner code is built to run Llama 2, 3, 3.1 and other models using the same architecture.
+
+Usages can also be found in the [torchchat repo](https://github.com/pytorch/torchchat/tree/main/runner).
diff --git a/extension/llm/custom_ops/CMakeLists.txt b/extension/llm/custom_ops/CMakeLists.txt
new file mode 100644
index 0000000000..a5face39f4
--- /dev/null
+++ b/extension/llm/custom_ops/CMakeLists.txt
@@ -0,0 +1,114 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+cmake_minimum_required(VERSION 3.19)
+
+set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
+if(NOT CMAKE_CXX_STANDARD)
+  set(CMAKE_CXX_STANDARD 17)
+endif()
+
+if(NOT PYTHON_EXECUTABLE)
+  set(PYTHON_EXECUTABLE python3)
+endif()
+
+# Source root directory for executorch.
+if(NOT EXECUTORCH_ROOT)
+  set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../../..)
+endif()
+
+set(_common_compile_options -Wno-deprecated-declarations -fPIC)
+
+include(${EXECUTORCH_ROOT}/build/Utils.cmake)
+include(${EXECUTORCH_ROOT}/build/Codegen.cmake)
+
+#
+# The `_<target>_srcs` lists are defined by including ${EXECUTORCH_SRCS_FILE}.
+#
+set(EXECUTORCH_SRCS_FILE
+    "${CMAKE_CURRENT_BINARY_DIR}/../../../executorch_srcs.cmake"
+)
+
+extract_sources(${EXECUTORCH_SRCS_FILE})
+
+include(${EXECUTORCH_SRCS_FILE})
+
+# Let files say "include <executorch/path/to/header.h>".
+set(_common_include_directories ${EXECUTORCH_ROOT}/..)
+
+# Custom op libraries
+set(custom_ops_libs pthreadpool)
+list(APPEND custom_ops_libs cpuinfo)
+list(APPEND custom_ops_libs cpublas)
+list(APPEND custom_ops_libs eigen_blas)
+
+list(TRANSFORM _custom_ops__srcs PREPEND "${EXECUTORCH_ROOT}/")
+
+if(NOT EXECUTORCH_BUILD_XNNPACK)
+  list(APPEND custom_ops_libs extension_threadpool)
+else()
+  list(APPEND custom_ops_libs extension_threadpool xnnpack_backend)
+endif()
+
+add_library(custom_ops ${_custom_ops__srcs})
+
+target_include_directories(custom_ops PUBLIC "${_common_include_directories}")
+target_include_directories(
+  custom_ops PRIVATE "${CMAKE_CURRENT_BINARY_DIR}/../../../include"
+)
+target_link_libraries(
+  custom_ops PUBLIC ${custom_ops_libs} executorch_no_prim_ops
+)
+
+target_compile_options(
+  custom_ops PUBLIC ${_common_compile_options} -DET_USE_THREADPOOL
+)
+
+install(TARGETS custom_ops DESTINATION lib)
+
+if(EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT)
+  # Add a AOT library
+  find_package(Torch CONFIG REQUIRED)
+  add_library(
+    custom_ops_aot_lib SHARED
+    ${_custom_ops__srcs} ${CMAKE_CURRENT_SOURCE_DIR}/op_sdpa_aot.cpp
+    ${CMAKE_CURRENT_SOURCE_DIR}/op_fast_hadamard_transform_aten.cpp
+    ${CMAKE_CURRENT_SOURCE_DIR}/op_tile_crop.cpp
+    ${CMAKE_CURRENT_SOURCE_DIR}/op_tile_crop_aot.cpp
+  )
+  target_include_directories(
+    custom_ops_aot_lib PUBLIC "${_common_include_directories}"
+  )
+  target_include_directories(
+    custom_ops_aot_lib PRIVATE "${CMAKE_CURRENT_BINARY_DIR}/../../../include"
+  )
+  if(TARGET portable_lib)
+    # If we have portable_lib built, custom_ops_aot_lib gives the ability to use
+    # the ops in PyTorch and ExecuTorch through pybind
+    target_link_libraries(custom_ops_aot_lib PUBLIC portable_lib)
+  else()
+    # If no portable_lib, custom_ops_aot_lib still gives the ability to use the
+    # ops in PyTorch
+    target_link_libraries(custom_ops_aot_lib PUBLIC executorch_no_prim_ops)
+  endif()
+
+  target_link_libraries(
+    custom_ops_aot_lib PUBLIC cpublas torch extension_tensor
+                              extension_threadpool
+  )
+  if(WIN32)
+    # There is no direct replacement for libpthread.so on Windows. For the
+    # Windows build, link directly against pthreadpool and cpuinfo.
+    target_link_libraries(custom_ops_aot_lib PUBLIC pthreadpool cpuinfo)
+  endif()
+  target_compile_options(
+    custom_ops_aot_lib
+    PUBLIC -Wno-deprecated-declarations -fPIC -frtti -fexceptions
+           ${_common_compile_options} -DET_USE_THREADPOOL
+  )
+
+  install(TARGETS custom_ops_aot_lib DESTINATION lib)
+endif()
diff --git a/extension/llm/custom_ops/TARGETS b/extension/llm/custom_ops/TARGETS
new file mode 100644
index 0000000000..8fe776ab09
--- /dev/null
+++ b/extension/llm/custom_ops/TARGETS
@@ -0,0 +1,36 @@
+# Any targets that should be shared between fbcode and xplat must be defined in
+# targets.bzl. This file can contain fbcode-only targets.
+
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+load(":targets.bzl", "define_common_targets")
+
+oncall("executorch")
+
+define_common_targets()
+
+runtime.python_test(
+    name = "test_sdpa_with_kv_cache",
+    srcs = [
+        "test_sdpa_with_kv_cache.py",
+    ],
+    preload_deps = [
+        ":custom_ops_aot_lib_mkl_noomp",
+        ":custom_ops_aot_py",
+    ],
+    deps = [
+        "//caffe2:torch",
+    ],
+)
+
+runtime.python_test(
+    name = "test_preprocess_custom_ops",
+    srcs = [
+        "test_preprocess_custom_ops.py",
+    ],
+    preload_deps = [
+        ":preprocess_custom_ops_py",
+    ],
+    deps = [
+        "//caffe2:torch",
+    ],
+)
diff --git a/extension/llm/custom_ops/__init__.py b/extension/llm/custom_ops/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/extension/llm/custom_ops/model_sharding.py b/extension/llm/custom_ops/model_sharding.py
new file mode 100644
index 0000000000..75d6fd2574
--- /dev/null
+++ b/extension/llm/custom_ops/model_sharding.py
@@ -0,0 +1,104 @@
+# Copyright (c) Qualcomm Innovation Center, Inc.
+# All rights reserved
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+import re
+from typing import List
+
+import torch
+
+from executorch.backends.qualcomm.utils.constants import QCOM_QUANT_ATTRS
+from executorch.exir.dialects._ops import ops as exir_ops
+from executorch.exir.pass_base import ExportPass, PassResult
+from torch.export.exported_program import ExportedProgram
+from torch.library import impl, Library
+
+
+fallback_op_lib = Library("llama", "DEF")
+# registering an operator.
+fallback_op_lib.define("fallback(Tensor input) -> Tensor")
+
+
+@impl(fallback_op_lib, "fallback")
+def fallback_impl(a: torch.Tensor) -> torch.Tensor:
+    return a
+
+
+# registering the out variant.
+fallback_op_lib.define("fallback.out(Tensor input, *, Tensor(a!) output) -> Tensor(a!)")
+
+
+@impl(fallback_op_lib, "fallback.out")
+def fallback_out_impl(a: torch.Tensor, *, out: torch.Tensor) -> torch.Tensor:
+    out.copy_(a)
+    return out
+
+
+class SplitGraph(ExportPass):
+    """
+    Class to split the model to multiple partitions.
+    Because there is limited memory on the device, it could
+    not load all llama model in one pte.
+    """
+
+    def __init__(self, shard_layers: List[int]):
+        super().__init__()
+        self.shard_layers = shard_layers
+
+    def _insert_fallback_op(
+        self, graph_module: torch.fx.GraphModule
+    ) -> torch.fx.GraphModule:
+        """
+        Insert fallback op before layer that needs to be shard.
+        Example:
+            There is 12 layers llama model and num_sharding is 3.
+            The first partition will contain layers [0, 4) and embedding.
+            The second partition will contain layers [4, 8).
+            The third partition will contain layers [8, 12) and output.
+        """
+        pattern = r"layers.(\d+)"
+        prev_node = None
+        prev_layer = None
+        for node in graph_module.graph.nodes:
+            if node.op != "call_function" or "nn_module_stack" not in node.meta:
+                continue
+
+            module_values_list = list(node.meta["nn_module_stack"].values())
+            full_qualified_name = module_values_list[-1][0]
+            # Search which layer this node belongs to
+            match = re.search(pattern, full_qualified_name)
+            if match is None:
+                continue
+
+            cur_layer = int(match.group(1))
+            # Check the current node which is the last node of the layer
+            if cur_layer in self.shard_layers and prev_layer == cur_layer - 1:
+                with graph_module.graph.inserting_after(prev_node):
+                    users = list(prev_node.users.keys())
+                    inserted_node = graph_module.graph.create_node(
+                        "call_function",
+                        exir_ops.edge.llama.fallback.default,
+                        (prev_node,),
+                    )
+                    inserted_node.meta["val"] = prev_node.meta["val"]
+                    if prev_node.meta.get(QCOM_QUANT_ATTRS, None):
+                        inserted_node.meta[QCOM_QUANT_ATTRS] = prev_node.meta[
+                            QCOM_QUANT_ATTRS
+                        ]
+                    for user in users:
+                        user.replace_input_with(prev_node, inserted_node)
+
+            prev_layer = cur_layer
+            prev_node = node
+
+    def call(self, graph_module: torch.fx.GraphModule):
+        self._insert_fallback_op(graph_module)
+        graph_module.recompile()
+        return PassResult(graph_module, True)
+
+
+def split_graph(edge_program: ExportedProgram, num_layers: int, shares: int):
+    graph_module = edge_program.graph_module
+    shard_layers = list(range(0, num_layers, int(num_layers / shares)))
+    return SplitGraph(shard_layers)(graph_module)
diff --git a/extension/llm/custom_ops/op_fallback.cpp b/extension/llm/custom_ops/op_fallback.cpp
new file mode 100644
index 0000000000..6f09f6ec03
--- /dev/null
+++ b/extension/llm/custom_ops/op_fallback.cpp
@@ -0,0 +1,48 @@
+/*
+ * Copyright (c) Qualcomm Innovation Center, Inc.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+#include <executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h>
+#include <executorch/extension/llm/custom_ops/op_fallback.h>
+#include <cstring>
+
+namespace torch {
+namespace executor {
+
+namespace native {
+
+// Copy from op_clone.cpp
+Tensor& fallback_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
+  (void)ctx;
+
+  ET_KERNEL_CHECK(
+      ctx,
+      resize_tensor(out, in.sizes()) == torch::executor::Error::Ok,
+      InvalidArgument,
+      out);
+
+  // The input and out shall share same dtype and size
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_shape_and_dtype(in, out), InvalidArgument, out);
+
+  if (in.nbytes() > 0) {
+    // Note that this check is important. It's valid for a tensor with numel 0
+    // to have a null data pointer, but in some environments it's invalid to
+    // pass a null pointer to memcpy() even when the size is zero.
+    memcpy(out.mutable_data_ptr(), in.const_data_ptr(), in.nbytes());
+  }
+
+  return out;
+}
+
+} // namespace native
+} // namespace executor
+} // namespace torch
+
+EXECUTORCH_LIBRARY(
+    llama,
+    "fallback.out",
+    torch::executor::native::fallback_out);
diff --git a/extension/llm/custom_ops/op_fallback.h b/extension/llm/custom_ops/op_fallback.h
new file mode 100644
index 0000000000..c650df8c59
--- /dev/null
+++ b/extension/llm/custom_ops/op_fallback.h
@@ -0,0 +1,20 @@
+/*
+ * Copyright (c) Qualcomm Innovation Center, Inc.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <executorch/runtime/kernel/kernel_includes.h>
+
+namespace torch {
+namespace executor {
+
+namespace native {
+Tensor& fallback_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out);
+} // namespace native
+} // namespace executor
+} // namespace torch
diff --git a/extension/llm/custom_ops/op_fast_hadamard_transform.cpp b/extension/llm/custom_ops/op_fast_hadamard_transform.cpp
new file mode 100644
index 0000000000..2d005ecd68
--- /dev/null
+++ b/extension/llm/custom_ops/op_fast_hadamard_transform.cpp
@@ -0,0 +1,105 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h>
+#include <executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h>
+#include <executorch/kernels/optimized/utils/llvmMathExtras.h>
+#include <executorch/kernels/portable/cpu/util/reduce_util.h> // For apply_over_dim.
+#include <executorch/runtime/kernel/kernel_includes.h>
+
+namespace torch {
+namespace executor {
+namespace native {
+
+Tensor& fast_hadamard_transform_out(
+    RuntimeContext& ctx,
+    const Tensor& mat,
+    Tensor& out) {
+  ET_KERNEL_CHECK_MSG(
+      ctx,
+      resize_tensor(out, mat.sizes()) == Error::Ok,
+      InvalidArgument,
+      out,
+      "Failed to resize output tensor.");
+
+  ET_KERNEL_CHECK(
+      ctx, mat.scalar_type() == out.scalar_type(), InvalidArgument, out);
+
+  if (mat.dim() == 0 || mat.numel() == 0) {
+    return out;
+  }
+
+  ET_KERNEL_CHECK(
+      ctx,
+      is_contiguous_dim_order(mat.dim_order().data(), mat.dim()),
+      InvalidArgument,
+      out);
+
+  ET_KERNEL_CHECK(
+      ctx,
+      is_contiguous_dim_order(out.dim_order().data(), out.dim()),
+      InvalidArgument,
+      out);
+
+  ET_KERNEL_CHECK_MSG(
+      ctx,
+      mat.strides().back() == 1,
+      InvalidArgument,
+      out,
+      "input matrix that isn't contiguous in the last dimension is not supported!");
+
+  const auto last_dim_size = mat.sizes().back();
+  const auto divisible_by_28 = last_dim_size % 28 == 0;
+  auto power_of_two_size = divisible_by_28 ? last_dim_size / 28 : last_dim_size;
+  ET_KERNEL_CHECK_MSG(
+      ctx,
+      (power_of_two_size & (power_of_two_size - 1)) == 0,
+      InvalidArgument,
+      out,
+      "This implementation requires power-of-2 (or power-of-2 * 28) input size in the last dimension!");
+
+  const auto log2_power_of_two_size = executorch::llvm::countTrailingZeros(
+      static_cast<unsigned int>(power_of_two_size),
+      executorch::llvm::ZeroBehavior::ZB_Undefined);
+
+  ET_SWITCH_FLOATH_TYPES(mat.scalar_type(), ctx, __func__, CTYPE, [&] {
+    const CTYPE* const mat_data = mat.const_data_ptr<CTYPE>();
+    CTYPE* const out_data = out.mutable_data_ptr<CTYPE>();
+
+    std::memcpy(out_data, mat_data, mat.numel() * sizeof(CTYPE));
+
+    if (divisible_by_28) {
+      apply_over_dim(
+          [log2_power_of_two_size, out_data](
+              const size_t size, const size_t stride, const size_t base) {
+            executorch::fast_hadamard_transform_28N(
+                out_data + base, log2_power_of_two_size);
+          },
+          out,
+          out.dim() - 1);
+    } else {
+      apply_over_dim(
+          [log2_power_of_two_size, out_data](
+              const size_t size, const size_t stride, const size_t base) {
+            executorch::fast_hadamard_transform(
+                out_data + base, log2_power_of_two_size);
+          },
+          out,
+          out.dim() - 1);
+    }
+  });
+  return out;
+}
+} // namespace native
+} // namespace executor
+} // namespace torch
+
+EXECUTORCH_LIBRARY(
+    llama,
+    "fast_hadamard_transform.out",
+    torch::executor::native::fast_hadamard_transform_out);
diff --git a/extension/llm/custom_ops/op_fast_hadamard_transform.h b/extension/llm/custom_ops/op_fast_hadamard_transform.h
new file mode 100644
index 0000000000..399401c355
--- /dev/null
+++ b/extension/llm/custom_ops/op_fast_hadamard_transform.h
@@ -0,0 +1,25 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <executorch/runtime/kernel/kernel_includes.h>
+
+namespace torch::executor::native {
+
+// Compute the fast Walsh-Hadamard transform
+// (https://en.wikipedia.org/wiki/Fast_Walsh%E2%80%93Hadamard_transform)
+// of mat along the last dimension (which must be contiguous).
+//
+// mat.sizes().back() is currently required to be either a power of
+// two, or 28 * a power of two.
+Tensor& fast_hadamard_transform_out(
+    RuntimeContext& ctx,
+    const Tensor& mat,
+    Tensor& out);
+} // namespace torch::executor::native
diff --git a/extension/llm/custom_ops/op_fast_hadamard_transform_aten.cpp b/extension/llm/custom_ops/op_fast_hadamard_transform_aten.cpp
new file mode 100644
index 0000000000..d2e4c01d25
--- /dev/null
+++ b/extension/llm/custom_ops/op_fast_hadamard_transform_aten.cpp
@@ -0,0 +1,43 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/extension/aten_util/make_aten_functor_from_et_functor.h>
+#include <executorch/extension/llm/custom_ops/op_fast_hadamard_transform.h>
+
+#include <torch/library.h>
+
+namespace torch::executor::native {
+namespace {
+Tensor& fast_hadamard_transform_out_no_context(const Tensor& vec, Tensor& out) {
+  exec_aten::RuntimeContext context;
+  return fast_hadamard_transform_out(context, vec, out);
+}
+at::Tensor fast_hadamard_transform_aten(const at::Tensor& vec) {
+  auto out = at::empty_like(vec);
+  WRAP_TO_ATEN(fast_hadamard_transform_out_no_context, 1)
+  (vec, out);
+  return out;
+}
+} // namespace
+} // namespace torch::executor::native
+
+TORCH_LIBRARY_FRAGMENT(llama, m) {
+  m.def("fast_hadamard_transform(Tensor mat) -> Tensor");
+  m.def(
+      "fast_hadamard_transform.out(Tensor mat, *, Tensor(a!) out) -> Tensor(a!)");
+}
+
+TORCH_LIBRARY_IMPL(llama, CompositeExplicitAutograd, m) {
+  m.impl(
+      "fast_hadamard_transform",
+      torch::executor::native::fast_hadamard_transform_aten);
+  m.impl(
+      "fast_hadamard_transform.out",
+      WRAP_TO_ATEN(
+          torch::executor::native::fast_hadamard_transform_out_no_context, 1));
+}
diff --git a/examples/models/llama2/custom_ops/op_sdpa.cpp b/extension/llm/custom_ops/op_sdpa.cpp
similarity index 92%
rename from examples/models/llama2/custom_ops/op_sdpa.cpp
rename to extension/llm/custom_ops/op_sdpa.cpp
index 758973bcb7..e8a53a4131 100644
--- a/examples/models/llama2/custom_ops/op_sdpa.cpp
+++ b/extension/llm/custom_ops/op_sdpa.cpp
@@ -6,7 +6,7 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-#include <executorch/examples/models/llama2/custom_ops/op_sdpa.h>
+#include <executorch/extension/llm/custom_ops/op_sdpa.h>
 
 #include <executorch/kernels/optimized/blas/CPUBlas.h>
 #include <executorch/kernels/optimized/vec/functional.h>
@@ -16,11 +16,12 @@
 #include <executorch/runtime/core/exec_aten/util/scalar_type_util.h>
 
 #include <array>
+// patternlint-disable-next-line executorch-cpp-nostdinc
 #include <vector>
 
 #ifdef ET_USE_THREADPOOL
-#include <executorch/backends/xnnpack/threadpool/threadpool.h>
 #include <executorch/extension/parallel/thread_parallel.h>
+#include <executorch/extension/threadpool/threadpool.h>
 #endif
 #include <executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h>
 
@@ -157,7 +158,7 @@ static inline scalar_t* conditional_data_ptr(scalar_t* ptr, scalar_t* ptr2) {
 template <
     typename scalar_t,
     typename std::enable_if_t<
-        torch::executor::is_reduced_floating_point<scalar_t>::value,
+        ::executorch::runtime::is_reduced_floating_point_v<scalar_t>,
         int> = 0>
 static inline scalar_t* conditional_data_ptr(float* ptr, scalar_t* ptr2) {
   (void)ptr;
@@ -246,7 +247,7 @@ void cpu_flash_attention(
       "KV_split_size must be greater than q_split_size");
 
   constexpr bool is_reduced_type =
-      torch::executor::is_reduced_floating_point<scalar_t>::value;
+      ::executorch::runtime::is_reduced_floating_point_v<scalar_t>;
 
   ET_CHECK_MSG(
       !is_reduced_type, "FlashAttention does not support reduced types.");
@@ -698,11 +699,24 @@ void update_cache(
     const Tensor& projected_value,
     const Tensor& cache,
     int64_t start_pos,
-    int64_t seq_length) {
+    int64_t seq_length) { // NOLINT: unused parameter 'seq_length'
+  // 1) Cache shape should be [bs, max_seq_len, num heads, head dim]
+  // 2) projected_value shape should be [bs, seq_len, num heads, head dim]
+  // 3) We're updating the cache with projected_value, at position start_pos
+
+  ET_CHECK_MSG(
+      projected_value.size(0) == cache.size(0),
+      "projected_value batch size should be equal to the cache batch size.");
+  ET_CHECK_MSG(
+      projected_value.size(2) == cache.size(2),
+      "projected_value number of heads should be equal to the cache number of heads.");
   ET_CHECK_MSG(
-      projected_value.size(0) == 1,
-      "projected_value must have batch size of 1");
-  ET_CHECK_MSG(cache.size(0) == 1, "cache must have batch size of 1");
+      projected_value.size(3) == cache.size(3),
+      "projected_value embedding dimension should be equal to the cache embedding dimension.");
+  ET_CHECK_MSG(
+      projected_value.element_size() == cache.element_size(),
+      "projected_value data type size should be equal to the cache data type size.");
+
   ET_CHECK_MSG(
       is_contiguous_dim_order(
           projected_value.dim_order().data(), projected_value.dim()),
@@ -713,22 +727,37 @@ void update_cache(
   ET_CHECK_MSG(projected_value_data != nullptr, "projected_value data is null");
   ET_CHECK_MSG(cache_data, "cache data is null");
 
-  auto strides = cache.strides();
-  exec_aten::StridesType seq_dim_stride = strides[1];
-  exec_aten::SizesType pos_offset = start_pos * seq_dim_stride;
-  exec_aten::SizesType pos_offset_bytes =
-      pos_offset * projected_value.element_size();
-  exec_aten::SizesType num_bytes =
-      projected_value.numel() * projected_value.element_size();
-  // NOLINTNEXTLINE
-  std::memcpy(
-      (uint8_t*)cache_data + pos_offset_bytes, projected_value_data, num_bytes);
+  auto cache_strides = cache.strides();
+  exec_aten::StridesType cache_batch_dim_stride = cache_strides[0];
+  exec_aten::StridesType cache_seq_dim_stride = cache_strides[1];
+
+  auto value_strides = projected_value.strides();
+  exec_aten::StridesType value_batch_dim_stride = value_strides[0];
+
+  exec_aten::SizesType num_bytes_to_copy =
+      (projected_value.numel() / projected_value.size(0)) *
+      projected_value.element_size();
+
+  for (int64_t batch_line = 0; batch_line < projected_value.size(0);
+       ++batch_line) {
+    exec_aten::SizesType cache_pos_offset =
+        (batch_line * cache_batch_dim_stride +
+         start_pos * cache_seq_dim_stride) *
+        cache.element_size();
+    exec_aten::SizesType value_pos_offset =
+        (batch_line * value_batch_dim_stride) * cache.element_size();
+
+    std::memcpy(
+        (uint8_t*)cache_data + cache_pos_offset,
+        (uint8_t*)projected_value_data + value_pos_offset,
+        num_bytes_to_copy);
+  }
 }
 
 } // anonymous namespace
 
 Tensor& flash_attention_kernel_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& query,
     const Tensor& key,
     const Tensor& value,
@@ -810,7 +839,7 @@ Tensor& flash_attention_kernel_out(
   @param[in] seq_len: Seq length. e.g. seq_len dim of q_projected.
 */
 Tensor& sdpa_with_kv_cache_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& q_projected,
     const Tensor& k_projected,
     const Tensor& v_projected,
@@ -858,6 +887,8 @@ Tensor& sdpa_with_kv_cache_out(
       sliced_key_dim_order.data(),
       util::kKVDim,
       sliced_key_strides.data());
+  // since the cache is sliced, the batch stride needs to stay the same.
+  sliced_key_strides[0] = key_cache.strides()[0];
   void* key_cache_data = key_cache.mutable_data_ptr();
   TensorImpl k_impl = TensorImpl(
       key_cache.scalar_type(),
@@ -882,6 +913,8 @@ Tensor& sdpa_with_kv_cache_out(
       sliced_value_dim_order.data(),
       util::kKVDim,
       sliced_value_strides.data());
+  // since the cache is sliced, the batch stride needs to stay the same.
+  sliced_value_strides[0] = value_cache.strides()[0];
   void* value_cache_data = value_cache.mutable_data_ptr();
   TensorImpl value_impl = TensorImpl(
       value_cache.scalar_type(),
diff --git a/examples/models/llama2/custom_ops/op_sdpa.h b/extension/llm/custom_ops/op_sdpa.h
similarity index 95%
rename from examples/models/llama2/custom_ops/op_sdpa.h
rename to extension/llm/custom_ops/op_sdpa.h
index fd130964eb..ce969b013d 100644
--- a/examples/models/llama2/custom_ops/op_sdpa.h
+++ b/extension/llm/custom_ops/op_sdpa.h
@@ -16,7 +16,7 @@ namespace executor {
 namespace native {
 
 Tensor& sdpa_with_kv_cache_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& q_projected,
     const Tensor& k_projected,
     const Tensor& v_projected,
@@ -32,7 +32,7 @@ Tensor& sdpa_with_kv_cache_out(
     Tensor& output);
 
 Tensor& flash_attention_kernel_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& query,
     const Tensor& key,
     const Tensor& value,
diff --git a/examples/models/llama2/custom_ops/op_sdpa_aot.cpp b/extension/llm/custom_ops/op_sdpa_aot.cpp
similarity index 94%
rename from examples/models/llama2/custom_ops/op_sdpa_aot.cpp
rename to extension/llm/custom_ops/op_sdpa_aot.cpp
index ed735406ad..79a6fa4dd9 100644
--- a/examples/models/llama2/custom_ops/op_sdpa_aot.cpp
+++ b/extension/llm/custom_ops/op_sdpa_aot.cpp
@@ -6,9 +6,9 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-#include <executorch/examples/models/llama2/custom_ops/op_sdpa.h>
 #include <executorch/extension/aten_util/make_aten_functor_from_et_functor.h>
 #include <executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h>
+#include <executorch/extension/llm/custom_ops/op_sdpa.h>
 
 #include <torch/library.h>
 
@@ -16,7 +16,7 @@ namespace torch {
 namespace executor {
 
 namespace native {
-
+namespace {
 Tensor& sdpa_with_kv_cache_out_no_context(
     const Tensor& q_projected,
     const Tensor& k_projected,
@@ -33,7 +33,7 @@ Tensor& sdpa_with_kv_cache_out_no_context(
     // @lint-ignore CLANGTIDY facebook-hte-ParameterMightThrowOnCopy
     const optional<double> scale,
     Tensor& output) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::native::sdpa_with_kv_cache_out(
       context,
       q_projected,
@@ -81,12 +81,12 @@ at::Tensor sdpa_with_kv_cache_aten(
    output);
   return output;
 }
-
+} // namespace
 } // namespace native
 } // namespace executor
 } // namespace torch
 
-TORCH_LIBRARY(llama, m) {
+TORCH_LIBRARY_FRAGMENT(llama, m) {
   m.def(
       "sdpa_with_kv_cache(Tensor query, Tensor key, Tensor value, Tensor(a!) key_cache, "
       "Tensor(b!) value_cache, SymInt start_pos, SymInt seq_len, Tensor? attn_mask=None, "
diff --git a/examples/models/llama2/custom_ops/op_sdpa_test.cpp b/extension/llm/custom_ops/op_sdpa_test.cpp
similarity index 96%
rename from examples/models/llama2/custom_ops/op_sdpa_test.cpp
rename to extension/llm/custom_ops/op_sdpa_test.cpp
index 971e8cf45c..7d7a35b4f9 100644
--- a/examples/models/llama2/custom_ops/op_sdpa_test.cpp
+++ b/extension/llm/custom_ops/op_sdpa_test.cpp
@@ -8,16 +8,16 @@
 
 #include <limits>
 
-#include <executorch/examples/models/llama2/custom_ops/op_sdpa.h>
+#include <executorch/extension/llm/custom_ops/op_sdpa.h>
 
 #include <executorch/kernels/test/TestUtil.h>
-#include <executorch/runtime/core/exec_aten/exec_aten.h>
 #include <executorch/runtime/core/exec_aten/testing_util/tensor_factory.h>
 #include <executorch/runtime/core/exec_aten/testing_util/tensor_util.h>
 
 #include <gtest/gtest.h>
 
 using namespace ::testing;
+using executorch::runtime::testing::TensorFactory;
 
 exec_aten::Tensor op_scaled_dot_product_attention(
     const exec_aten::Tensor& query,
@@ -28,7 +28,7 @@ exec_aten::Tensor op_scaled_dot_product_attention(
     bool is_causal,
     exec_aten::optional<double> scale,
     exec_aten::Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::native::flash_attention_kernel_out(
       context, query, key, value, attn_mask, dropout_p, is_causal, scale, out);
 }
@@ -38,7 +38,7 @@ Most tests are generated by FACTO
 */
 
 TEST(OpScaledDotProductAttentionTest, CorrectnessTest_105) {
-  torch::executor::testing::TensorFactory<exec_aten::ScalarType::Float> tfFloat;
+  TensorFactory<exec_aten::ScalarType::Float> tfFloat;
 
   exec_aten::Tensor query = tfFloat.make(
       {1, 1, 4, 4},
@@ -124,7 +124,7 @@ TEST(OpScaledDotProductAttentionTest, CorrectnessTest_105) {
 }
 
 TEST(OpScaledDotProductAttentionTest, CorrectnessTest_11) {
-  torch::executor::testing::TensorFactory<exec_aten::ScalarType::Float> tfFloat;
+  TensorFactory<exec_aten::ScalarType::Float> tfFloat;
 
   exec_aten::Tensor query = tfFloat.make(
       {1, 1, 1, 8},
@@ -153,7 +153,7 @@ TEST(OpScaledDotProductAttentionTest, CorrectnessTest_11) {
 }
 
 TEST(OpScaledDotProductAttentionTest, CorrectnessTest_13) {
-  torch::executor::testing::TensorFactory<exec_aten::ScalarType::Float> tfFloat;
+  TensorFactory<exec_aten::ScalarType::Float> tfFloat;
 
   exec_aten::Tensor query = tfFloat.make(
       {1, 8, 1, 1}, {-47.0, 21.25, 74.75, 46.375, 21.0, -29.0, 2.625, 83.125});
@@ -182,7 +182,7 @@ TEST(OpScaledDotProductAttentionTest, CorrectnessTest_13) {
 }
 
 TEST(OpScaledDotProductAttentionTest, CorrectnessTest_17) {
-  torch::executor::testing::TensorFactory<exec_aten::ScalarType::Float> tfFloat;
+  TensorFactory<exec_aten::ScalarType::Float> tfFloat;
 
   exec_aten::Tensor query = tfFloat.make(
       {3, 2, 2, 6},
@@ -258,7 +258,7 @@ TEST(OpScaledDotProductAttentionTest, CorrectnessTest_17) {
 }
 
 TEST(OpScaledDotProductAttentionTest, CorrectnessTest_18) {
-  torch::executor::testing::TensorFactory<exec_aten::ScalarType::Float> tfFloat;
+  TensorFactory<exec_aten::ScalarType::Float> tfFloat;
 
   exec_aten::Tensor query = tfFloat.make(
       {3, 2, 2, 6},
@@ -334,7 +334,7 @@ TEST(OpScaledDotProductAttentionTest, CorrectnessTest_18) {
 // Disabling this test because right now we are enforcing that
 // attention mask must be 2D
 TEST(OpScaledDotProductAttentionTest, CorrectnessTest_19) {
-  torch::executor::testing::TensorFactory<exec_aten::ScalarType::Float> tfFloat;
+  TensorFactory<exec_aten::ScalarType::Float> tfFloat;
 
   exec_aten::Tensor query = tfFloat.make(
       {3, 2, 2, 6},
@@ -480,7 +480,7 @@ TEST(OpScaledDotProductAttentionTest, CorrectnessTest_19) {
 */
 
 TEST(OpScaledDotProductAttentionTest, CorrectnessTest_51) {
-  torch::executor::testing::TensorFactory<exec_aten::ScalarType::Float> tfFloat;
+  TensorFactory<exec_aten::ScalarType::Float> tfFloat;
 
   exec_aten::Tensor query = tfFloat.make(
       {1, 1, 8, 3},
diff --git a/examples/models/llama2/custom_ops/op_sdpa_with_kv_cache_test.cpp b/extension/llm/custom_ops/op_sdpa_with_kv_cache_test.cpp
similarity index 98%
rename from examples/models/llama2/custom_ops/op_sdpa_with_kv_cache_test.cpp
rename to extension/llm/custom_ops/op_sdpa_with_kv_cache_test.cpp
index 5ea7856dba..e53ddb9766 100644
--- a/examples/models/llama2/custom_ops/op_sdpa_with_kv_cache_test.cpp
+++ b/extension/llm/custom_ops/op_sdpa_with_kv_cache_test.cpp
@@ -8,15 +8,15 @@
 
 #include <limits>
 
-#include <executorch/examples/models/llama2/custom_ops/op_sdpa.h> // Declares the operator
+#include <executorch/extension/llm/custom_ops/op_sdpa.h> // Declares the operator
 #include <executorch/kernels/test/TestUtil.h>
-#include <executorch/runtime/core/exec_aten/exec_aten.h>
 #include <executorch/runtime/core/exec_aten/testing_util/tensor_factory.h>
 #include <executorch/runtime/core/exec_aten/testing_util/tensor_util.h>
 
 #include <gtest/gtest.h>
 
 using namespace ::testing;
+using executorch::runtime::testing::TensorFactory;
 
 exec_aten::Tensor op_sdpa_with_kv_cache(
     const exec_aten::Tensor& query,
@@ -31,7 +31,7 @@ exec_aten::Tensor op_sdpa_with_kv_cache(
     bool is_causal,
     exec_aten::optional<double> scale,
     exec_aten::Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::native::sdpa_with_kv_cache_out(
       context,
       query,
@@ -80,7 +80,7 @@ Missing tests:
 5. Different dtypes, fp16, bf16, double (or expect throw)
 */
 TEST(OpScaledDotProductAttentionTest, BasicTest) {
-  torch::executor::testing::TensorFactory<exec_aten::ScalarType::Float> tfFloat;
+  TensorFactory<exec_aten::ScalarType::Float> tfFloat;
 
   exec_aten::Tensor query = tfFloat.make(
       {1, 1, 4, 4},
@@ -361,7 +361,7 @@ TEST(OpScaledDotProductAttentionTest, BasicTest) {
 }
 
 TEST(OpScaledDotProductAttentionTest, LargerTest) {
-  torch::executor::testing::TensorFactory<exec_aten::ScalarType::Float> tfFloat;
+  TensorFactory<exec_aten::ScalarType::Float> tfFloat;
 
   exec_aten::Tensor query = tfFloat.make(
       {1, 1, 7, 4}, {0.8823, 0.9150, 0.3829, 0.9593, 0.3904, 0.6009, 0.2566,
@@ -525,7 +525,7 @@ TEST(OpScaledDotProductAttentionTest, LargerTest) {
 }
 
 TEST(OpScaledDotProductAttentionTest, BasicTestWithAttnMask) {
-  torch::executor::testing::TensorFactory<exec_aten::ScalarType::Float> tfFloat;
+  TensorFactory<exec_aten::ScalarType::Float> tfFloat;
 
   exec_aten::Tensor query = tfFloat.make(
       {1, 1, 4, 4},
@@ -808,7 +808,7 @@ TEST(OpScaledDotProductAttentionTest, BasicTestWithAttnMask) {
 }
 
 TEST(OpScaledDotProductAttentionTest, SequenceTest) {
-  torch::executor::testing::TensorFactory<exec_aten::ScalarType::Float> tfFloat;
+  TensorFactory<exec_aten::ScalarType::Float> tfFloat;
 
   exec_aten::Tensor query = tfFloat.make(
       {1, 1, 8, 4},
diff --git a/extension/llm/custom_ops/op_tile_crop.cpp b/extension/llm/custom_ops/op_tile_crop.cpp
new file mode 100644
index 0000000000..439c6f8e6d
--- /dev/null
+++ b/extension/llm/custom_ops/op_tile_crop.cpp
@@ -0,0 +1,115 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h>
+#include <executorch/extension/llm/custom_ops/op_tile_crop.h>
+#include <executorch/runtime/kernel/kernel_includes.h>
+
+namespace torch {
+namespace executor {
+namespace native {
+namespace {
+
+bool check_tile_crop_out_args(
+    const Tensor& in,
+    int64_t tile_size,
+    Tensor& out) {
+  ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_dtype(in, out));
+  ET_LOG_AND_RETURN_IF_FALSE(tensor_is_rank(in, 3));
+  ET_LOG_AND_RETURN_IF_FALSE(tensor_is_rank(out, 4));
+  ET_LOG_AND_RETURN_IF_FALSE(tile_size > 0);
+  ET_LOG_AND_RETURN_IF_FALSE(in.size(in.dim() - 1) % tile_size == 0);
+  ET_LOG_AND_RETURN_IF_FALSE(in.size(in.dim() - 2) % tile_size == 0);
+  return true;
+}
+
+void get_tile_crop_out_target_size(
+    const Tensor& in,
+    int64_t tile_size,
+    exec_aten::SizesType* out_sizes,
+    size_t* out_ndim) {
+  *out_ndim = in.dim() + 1;
+
+  out_sizes[0] = in.size(1) * in.size(2) / (tile_size * tile_size);
+  out_sizes[1] = in.size(0);
+  out_sizes[2] = tile_size;
+  out_sizes[3] = tile_size;
+}
+
+template <typename CTYPE>
+void tile_crop_impl(const Tensor& in, int64_t tile_size, Tensor& out) {
+  const CTYPE* const in_data = in.const_data_ptr<CTYPE>();
+  CTYPE* const out_data = out.mutable_data_ptr<CTYPE>();
+
+  const auto channels = in.size(0);
+  const auto height = in.size(1);
+  const auto width = in.size(2);
+
+  const auto HdivS = height / tile_size;
+  const auto WdivS = width / tile_size;
+
+  size_t out_ix = 0;
+  for (size_t bH = 0; bH < HdivS; bH++) {
+    for (size_t bW = 0; bW < WdivS; bW++) {
+      for (size_t c = 0; c < channels; c++) {
+        for (size_t h = 0; h < tile_size; h++) {
+          for (size_t w = 0; w < tile_size; w++) {
+            size_t in_h = bH * tile_size + h;
+            size_t in_w = bW * tile_size + w;
+            size_t in_ix = c * height * width + in_h * width + in_w;
+
+            out_data[out_ix++] = in_data[in_ix];
+          }
+        }
+      }
+    }
+  }
+}
+
+} // namespace
+
+Tensor& tile_crop_out_impl(
+    KernelRuntimeContext& ctx,
+    const Tensor& input, // NOLINT
+    const int64_t tile_size, // NOLINT
+    Tensor& out) {
+  ET_KERNEL_CHECK(
+      ctx,
+      check_tile_crop_out_args(input, tile_size, out),
+      InvalidArgument,
+      out);
+
+  // @lint-ignore CLANGTIDY facebook-hte-CArray
+  Tensor::SizesType expected_out_size[kTensorDimensionLimit];
+  size_t expected_out_dim = 0;
+  get_tile_crop_out_target_size(
+      input, tile_size, expected_out_size, &expected_out_dim);
+
+  ET_KERNEL_CHECK(
+      ctx,
+      resize_tensor(out, {expected_out_size, expected_out_dim}) == Error::Ok,
+      InvalidArgument,
+      out);
+
+  constexpr auto name = "tile_crop.out";
+
+  ET_SWITCH_ALL_TYPES(out.scalar_type(), ctx, name, CTYPE, [&]() {
+    tile_crop_impl<CTYPE>(input, tile_size, out);
+  });
+
+  return out;
+}
+
+} // namespace native
+} // namespace executor
+} // namespace torch
+
+EXECUTORCH_LIBRARY(
+    preprocess,
+    "tile_crop.out",
+    torch::executor::native::tile_crop_out_impl);
diff --git a/extension/llm/custom_ops/op_tile_crop.h b/extension/llm/custom_ops/op_tile_crop.h
new file mode 100644
index 0000000000..abee6ebb77
--- /dev/null
+++ b/extension/llm/custom_ops/op_tile_crop.h
@@ -0,0 +1,26 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <executorch/runtime/kernel/kernel_includes.h>
+
+namespace torch {
+namespace executor {
+
+namespace native {
+
+Tensor& tile_crop_out_impl(
+    KernelRuntimeContext& ctx,
+    const Tensor& input,
+    const int64_t tile_size,
+    Tensor& out);
+
+} // namespace native
+} // namespace executor
+} // namespace torch
diff --git a/extension/llm/custom_ops/op_tile_crop_aot.cpp b/extension/llm/custom_ops/op_tile_crop_aot.cpp
new file mode 100644
index 0000000000..1755e543eb
--- /dev/null
+++ b/extension/llm/custom_ops/op_tile_crop_aot.cpp
@@ -0,0 +1,50 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/extension/aten_util/make_aten_functor_from_et_functor.h>
+#include <executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h>
+#include <executorch/extension/llm/custom_ops/op_tile_crop.h>
+
+#include <torch/library.h>
+
+namespace torch {
+namespace executor {
+
+namespace native {
+
+Tensor&
+tile_crop_out_no_context(const Tensor& input, int64_t tile_size, Tensor& out) {
+  exec_aten::RuntimeContext context{};
+  return tile_crop_out_impl(context, input, tile_size, out);
+}
+
+at::Tensor tile_crop_aten(const at::Tensor& input, int64_t tile_size) {
+  // max_num_tiles = 4, num_channels = 3.
+  auto output = at::empty({4, 3, tile_size, tile_size});
+
+  WRAP_TO_ATEN(torch::executor::native::tile_crop_out_no_context, 2)
+  (input, tile_size, output);
+  return output;
+}
+
+} // namespace native
+} // namespace executor
+} // namespace torch
+
+TORCH_LIBRARY(preprocess, m) {
+  m.def("tile_crop(Tensor input, int tile_size) -> Tensor");
+  m.def(
+      "tile_crop.out(Tensor input, int tile_size, *, Tensor(a!) out) -> Tensor(a!)");
+}
+
+TORCH_LIBRARY_IMPL(preprocess, CompositeExplicitAutograd, m) {
+  m.impl("tile_crop", torch::executor::native::tile_crop_aten);
+  m.impl(
+      "tile_crop.out",
+      WRAP_TO_ATEN(torch::executor::native::tile_crop_out_no_context, 2));
+}
diff --git a/extension/llm/custom_ops/op_tile_crop_aot.py b/extension/llm/custom_ops/op_tile_crop_aot.py
new file mode 100644
index 0000000000..701aabc441
--- /dev/null
+++ b/extension/llm/custom_ops/op_tile_crop_aot.py
@@ -0,0 +1,38 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import logging
+from pathlib import Path
+
+import torch
+
+try:
+    tile_crop = torch.ops.preprocess.tile_crop.default
+    assert tile_crop is not None
+except:
+    libs = list(Path(__file__).parent.resolve().glob("libcustom_ops_aot_lib.*"))
+    assert len(libs) == 1, f"Expected 1 library but got {len(libs)}"
+    logging.info(f"Loading custom ops library: {libs[0]}")
+    torch.ops.load_library(libs[0])
+    tile_crop = torch.ops.preprocess.tile_crop.default
+    assert tile_crop is not None
+
+preprocess_ops_lib = torch.library.Library("preprocess", "IMPL")
+
+MAX_NUM_TILES = 4
+
+
+# Register meta kernel to prevent export tracing into the tile_crop impl.
+@torch.library.register_fake("preprocess::tile_crop")
+def tile_crop(output: torch.Tensor, tile_size: int) -> torch.Tensor:
+    # Returned tensor is of size [n, 3, 224, 224], where n = number of tiles.
+    # Use an unbacked symint to create an upper-bounded dynamic shape output.
+    # Otherwise, output is set to a static shape, and we can only output
+    # tensors of shape [MAX_NUM_TILES, 3, 224, 224].
+    ctx = torch._custom_ops.get_ctx()
+    s0 = ctx.create_unbacked_symint()
+    torch._constrain_as_size(s0, 0, MAX_NUM_TILES)
+    return torch.empty([s0, output.size(0), tile_size, tile_size])
diff --git a/extension/llm/custom_ops/op_tile_crop_test.cpp b/extension/llm/custom_ops/op_tile_crop_test.cpp
new file mode 100644
index 0000000000..36841b80f1
--- /dev/null
+++ b/extension/llm/custom_ops/op_tile_crop_test.cpp
@@ -0,0 +1,107 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/extension/llm/custom_ops/op_tile_crop.h>
+#include <executorch/kernels/test/TestUtil.h>
+#include <executorch/runtime/core/exec_aten/testing_util/tensor_factory.h>
+#include <executorch/runtime/core/exec_aten/testing_util/tensor_util.h>
+#include <gtest/gtest.h>
+
+using namespace ::testing;
+using exec_aten::ScalarType;
+using exec_aten::Tensor;
+using executorch::runtime::testing::TensorFactory;
+
+class OpTileCropOutTest : public OperatorTest {
+ protected:
+  Tensor& op_tile_crop_out(const Tensor& self, int64_t tile_size, Tensor& out) {
+    return torch::executor::native::tile_crop_out_impl(
+        context_, self, tile_size, out);
+  }
+
+  template <ScalarType DTYPE_IN>
+  void test_tile_crop() {
+    TensorFactory<DTYPE_IN> tf_in;
+
+    const std::vector<int32_t> sizes = {1, 4, 4};
+    const std::vector<int32_t> out_sizes = {4, 1, 2, 2};
+
+    Tensor out = tf_in.zeros(out_sizes);
+
+    // clang-format off
+    op_tile_crop_out(
+        tf_in.make(
+            sizes, { 0,  1,  2,  3,
+                     4,  5,  6,  7,
+                     8,  9, 10, 11,
+                    12, 13, 14, 15}),
+        2,
+        out);
+    EXPECT_TENSOR_EQ(
+        out,
+        tf_in.make(
+            out_sizes, {0,  1,  4,  5,
+                        2,  3,  6,  7,
+                        8,  9, 12, 13,
+                       10, 11, 14, 15}));
+    // clang-format on
+  }
+};
+
+//
+// Correctness Tests
+//
+
+/**
+ * Uses the function templates above to test all input dtypes.
+ */
+TEST_F(OpTileCropOutTest, AllRealDtypesSupported){
+#define ENUMERATE_TEST_ENTRY(ctype, dtype) test_tile_crop<ScalarType::dtype>();
+    ET_FORALL_REAL_TYPES(ENUMERATE_TEST_ENTRY)
+#undef ENUMERATE_TEST_ENTRY
+}
+
+// Mismatched shape tests.
+TEST_F(OpTileCropOutTest, InvalidInputShapeDies) {
+  TensorFactory<ScalarType::Int> tf;
+
+  // Input tensors with invalid shapes. 7 is not divisible by tile_size
+  Tensor in = tf.ones(/*sizes=*/{1, 7, 8});
+  Tensor out = tf.zeros(/*sizes=*/{16, 1, 2, 2});
+
+  ET_EXPECT_KERNEL_FAILURE(context_, op_tile_crop_out(in, 2, out));
+}
+
+TEST_F(OpTileCropOutTest, WrongInputRankDies) {
+  TensorFactory<ScalarType::Int> tf;
+
+  // Tile crop requires a 3D input tensor.
+  Tensor in = tf.ones(/*sizes=*/{1, 2});
+  Tensor out = tf.zeros(/*sizes=*/{1, 2});
+
+  ET_EXPECT_KERNEL_FAILURE(context_, op_tile_crop_out(in, 2, out));
+}
+
+TEST_F(OpTileCropOutTest, DifferentDtypeDies) {
+  TensorFactory<ScalarType::Int> tf;
+  TensorFactory<ScalarType::Float> tf_float;
+
+  Tensor in = tf.ones(/*sizes=*/{2, 12, 12});
+
+  // Tile crop requires two tensors with the same dtype.
+  Tensor out = tf_float.zeros(/*sizes=*/{9, 2, 4, 4});
+
+  ET_EXPECT_KERNEL_FAILURE(context_, op_tile_crop_out(in, 3, out));
+}
+
+TEST_F(OpTileCropOutTest, NegativeTileSizeDies) {
+  TensorFactory<ScalarType::Int> tf;
+  Tensor in = tf.ones(/*sizes=*/{2, 12, 12});
+  Tensor out = tf.zeros(/*sizes=*/{9, 2, 4, 4});
+  ET_EXPECT_KERNEL_FAILURE(context_, op_tile_crop_out(in, -3, out));
+}
diff --git a/extension/llm/custom_ops/preprocess_custom_ops.py b/extension/llm/custom_ops/preprocess_custom_ops.py
new file mode 100644
index 0000000000..f1e05697a4
--- /dev/null
+++ b/extension/llm/custom_ops/preprocess_custom_ops.py
@@ -0,0 +1,69 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+
+
+import torch
+
+from torch.library import impl, Library
+
+preprocess_op_lib = Library("preprocess", "DEF")
+
+# Register and define tile_crop and out variant.
+preprocess_op_lib.define("tile_crop(Tensor input, int tile_size) -> Tensor")
+
+# Keep this in sync with model config.
+MAX_NUM_TILES = 4
+
+
+@impl(preprocess_op_lib, "tile_crop", dispatch_key="CompositeExplicitAutograd")
+def tile_crop_impl(input: torch.Tensor, tile_size: int) -> torch.Tensor:
+    c = input.shape[0]
+    h = input.shape[1]
+    w = input.shape[2]
+    tiles_height = h // tile_size
+    tiles_width = w // tile_size
+    tile_cropped = input.view(c, tiles_height, tile_size, tiles_width, tile_size)
+    transposed = tile_cropped.permute(1, 3, 0, 2, 4)
+    tiles = transposed.contiguous().view(
+        tiles_height * tiles_width, c, tile_size, tile_size
+    )
+    return tiles
+
+
+preprocess_op_lib.define(
+    "tile_crop.out(Tensor input, int tile_size, *, Tensor(a!) out) -> Tensor(a!)"
+)
+
+
+@impl(preprocess_op_lib, "tile_crop.out", dispatch_key="CompositeExplicitAutograd")
+def tile_crop_out_impl(
+    input: torch.Tensor, tile_size: int, out: torch.Tensor
+) -> torch.Tensor:
+    out = input.clone()
+    c = out.shape[0]
+    h = out.shape[1]
+    w = out.shape[2]
+    tiles_height = h // tile_size
+    tiles_width = w // tile_size
+    out = out.view(c, tiles_height, tile_size, tiles_width, tile_size)
+    out = out.permute(1, 3, 0, 2, 4)
+    out = out.contiguous().view(tiles_height * tiles_width, c, tile_size, tile_size)
+    return out
+
+
+# Register meta kernel to prevent export tracing into the tile_crop impl.
+@torch.library.register_fake("preprocess::tile_crop")
+def tile_crop(output: torch.Tensor, tile_size: int) -> torch.Tensor:
+    # Returned tensor is of size [n, 3, 224, 224], where n = number of tiles.
+    # Use an unbacked symint to create an upper-bounded dynamic shape output.
+    # Otherwise, output is set to a static shape, and we can only output
+    # tensors of shape [MAX_NUM_TILES, 3, 224, 224].
+    ctx = torch._custom_ops.get_ctx()
+    s0 = ctx.create_unbacked_symint()
+    torch._constrain_as_size(s0, 0, MAX_NUM_TILES)
+    return torch.empty([s0, output.size(0), tile_size, tile_size])
diff --git a/examples/models/llama2/custom_ops/sdpa_with_kv_cache.py b/extension/llm/custom_ops/sdpa_with_kv_cache.py
similarity index 86%
rename from examples/models/llama2/custom_ops/sdpa_with_kv_cache.py
rename to extension/llm/custom_ops/sdpa_with_kv_cache.py
index 1b89dddce3..3de034fa6b 100644
--- a/examples/models/llama2/custom_ops/sdpa_with_kv_cache.py
+++ b/extension/llm/custom_ops/sdpa_with_kv_cache.py
@@ -8,6 +8,8 @@
 # C++ APIs for registration so here we need to import the shared library.
 # This is only needed for OSS.
 
+# pyre-unsafe
+
 import logging
 from pathlib import Path
 
@@ -18,6 +20,8 @@
 try:
     op = torch.ops.llama.sdpa_with_kv_cache.default
     assert op is not None
+    op2 = torch.ops.llama.fast_hadamard_transform.default
+    assert op2 is not None
 except:
     libs = list(Path(__file__).parent.resolve().glob("libcustom_ops_aot_lib.*"))
     assert len(libs) == 1, f"Expected 1 library but got {len(libs)}"
@@ -25,6 +29,8 @@
     torch.ops.load_library(libs[0])
     op = torch.ops.llama.sdpa_with_kv_cache.default
     assert op is not None
+    op2 = torch.ops.llama.fast_hadamard_transform.default
+    assert op2 is not None
 
 custom_ops_lib = torch.library.Library("llama", "IMPL")
 
@@ -124,3 +130,11 @@ def sdpa_with_kv_cache_meta(
     )
 
     return torch.empty_like(query)
+
+
+@impl(custom_ops_lib, "fast_hadamard_transform", "Meta")
+def fast_hadamard_transform_meta(mat):
+    # assert(mat.strides[-1] == 1, "input matrix must be contiguous in the last dimension!")
+    # assert(mat.shape[-1] == 128 or mat.shape[-1] == 14336, "unexpected input size for llama3 demo!")
+    # assert(mat.is_contiguous(), "input matrix must be contiguous currently!")
+    return torch.empty_like(mat)
diff --git a/extension/llm/custom_ops/spinquant/README.md b/extension/llm/custom_ops/spinquant/README.md
new file mode 100644
index 0000000000..e946e0ee60
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/README.md
@@ -0,0 +1,16 @@
+# SpinQuant
+
+This is an implementation of the [Fast Hadamard
+Transform](https://en.wikipedia.org/wiki/Fast_Walsh–Hadamard_transform)
+as used in [SpinQuant](https://arxiv.org/abs/2405.16406) (for the R3
+and R4 matrices), [QuaRot](https://arxiv.org/abs/2404.00456), and
+[Quip#](https://arxiv.org/pdf/2402.04396). We follow those papers'
+method (as implemented in
+https://github.com/Dao-AILab/fast-hadamard-transform/) for extending
+the transform to non-power-of-two input sizes. CUDA is not considered
+because https://github.com/Dao-AILab/fast-hadamard-transform/ is
+already available.
+
+The intended long-term destination for this code is pytorch/ao; it is
+in ExecuTorch temporarily until we get C++ dependency from ExecuTorch
+on torchao figured out.
diff --git a/extension/llm/custom_ops/spinquant/TARGETS b/extension/llm/custom_ops/spinquant/TARGETS
new file mode 100644
index 0000000000..0a42614a38
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/TARGETS
@@ -0,0 +1,5 @@
+load(":targets.bzl", "define_common_targets")
+
+oncall("executorch")
+
+define_common_targets()
diff --git a/extension/llm/custom_ops/spinquant/fast_hadamard_transform.cpp b/extension/llm/custom_ops/spinquant/fast_hadamard_transform.cpp
new file mode 100644
index 0000000000..dd34e8da85
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/fast_hadamard_transform.cpp
@@ -0,0 +1,101 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include "fast_hadamard_transform.h"
+
+#include <algorithm>
+
+namespace executorch {
+namespace {
+// Normalization step: divide by sqrt(1 << log2_vec_size). Similar
+// to fast_sqrt above, if N is even, then the maximum-precision way
+// to do this is right-shift by log2_vec_size / 2. If N is odd, we
+// still do the right-shift, and then we have an extra division by
+// sqrt(2) that we perform by making use of a sufficiently accurate
+// rational approximation. Our initial idea was to divide by sqrt(2)
+// by adjusting the quantization scale, but that would cause this
+// function to tend to increase the magnitude of the elements of
+// vec, which would resulting in clipping and therefore accuracy
+// loss, especially compounded over 30+ transformer layers.
+void quantized_normalize_after_fht(
+    const int32_t* tmp,
+    int16_t* out,
+    int log2_vec_size,
+    int vec_size) {
+  const int log2_sqrt_vec_size = log2_vec_size / 2;
+  constexpr int32_t qmin = -(1 << 15) + 1;
+  constexpr int32_t qmax = -qmin;
+  if (log2_vec_size % 2 != 0) {
+    // 408 / 577 - 1.0 / sqrt(2) ~= 1.062e-0.6, which should be close enough.
+    static const int32_t inv_sqrt_2_numerator = 408;
+    static const int32_t inv_sqrt_2_denominator = 577;
+    for (int ii = 0; ii < vec_size; ++ii) {
+      const auto val_over_sqrt_vec_size =
+          (tmp[ii] * inv_sqrt_2_numerator / inv_sqrt_2_denominator) >>
+          log2_sqrt_vec_size;
+      out[ii] = std::clamp(val_over_sqrt_vec_size, qmin, qmax);
+    }
+  } else {
+    for (int ii = 0; ii < vec_size; ++ii) {
+      out[ii] = std::clamp(tmp[ii] >> log2_sqrt_vec_size, qmin, qmax);
+    }
+  }
+}
+} // namespace
+
+void fast_hadamard_transform_symmetric_quantized_s16(
+    int16_t* vec,
+    int log2_vec_size) {
+  if (log2_vec_size == 0) {
+    return;
+  }
+
+  const int vec_size = 1 << log2_vec_size;
+  // We perform log2_vec_size rounds where each round's maximum output
+  // is at most double the maximum input, so we can at most multiply
+  // the maximum input by vec_size. Performing intermediate arithmetic
+  // in 32-bit precision should prevent overflow, since 16 +
+  // log2_vec_size should be much less than 32.
+  auto tmp = std::make_unique<int32_t[]>(vec_size);
+  std::copy(vec, vec + vec_size, tmp.get());
+
+  // Per the function-level comment above, we can ignore the
+  // quantization scale, so we just delegate to the usual unnormalized
+  // implementation.
+  // NOTE: if we need this to be fast on CPU, we can use FFHT to
+  // generate fht_uint32 similar to fht_float.
+  internal::fast_hadamard_transform_unnormalized_simple_impl(
+      tmp.get(), log2_vec_size);
+
+  quantized_normalize_after_fht(tmp.get(), vec, log2_vec_size, vec_size);
+}
+
+void fast_hadamard_transform_symmetric_quantized_s16_28N(
+    int16_t* vec,
+    int log2_vec_size) {
+  if (log2_vec_size == 0) {
+    return;
+  }
+  const int vec_size = (1 << log2_vec_size);
+
+  auto tmp = std::make_unique<int32_t[]>(vec_size * 28);
+  std::copy(vec, vec + vec_size * 28, tmp.get());
+
+  for (int ii = 0; ii < 28; ++ii) {
+    internal::fast_hadamard_transform_unnormalized_simple_impl(
+        &tmp[ii * vec_size], log2_vec_size);
+  }
+
+  for (int ii = 0; ii < vec_size; ++ii) {
+    hadamard_mult_28_strided(&tmp[ii], vec_size);
+  }
+
+  quantized_normalize_after_fht(tmp.get(), vec, log2_vec_size, vec_size * 28);
+}
+
+} // namespace executorch
diff --git a/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h b/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h
new file mode 100644
index 0000000000..712b778768
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h
@@ -0,0 +1,144 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// (c) Meta Platforms, Inc. and affiliates.
+#pragma once
+
+#include <cassert>
+#include <cmath>
+#include <cstdint>
+#include <memory>
+
+#include <executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/fht.h>
+
+#include "fast_hadamard_transform_special.h"
+
+namespace executorch {
+namespace internal {
+
+// Square root of 1 << log2_n.
+template <typename T>
+T fast_sqrt_of_power_of_2(int log2_n) {
+  // The square root of 2**N is, by definition, 2**(N/2), which is
+  // trivial to compute for even N using a left shift.
+  //
+  // For odd N, 2**(N/2) = 2**(floor(N/2) + 1/2)
+  //                     = 2**(floor(N/2)) * (2 ** (1/2))
+  //                     = 2**(floor(N/2)) * sqrt(2)
+  // which is again fast to compute.
+  return T(1 << (log2_n / 2)) * ((log2_n % 2) ? T(std::sqrt(2)) : T(1));
+}
+
+template <typename T>
+void normalize_after_fht(T* out, int log2_vec_size) {
+  const T inv_sqrt = T(1) / fast_sqrt_of_power_of_2<T>(log2_vec_size);
+  const int vec_size = 1 << log2_vec_size;
+  for (int ii = 0; ii < vec_size; ++ii) {
+    out[ii] *= inv_sqrt;
+  }
+}
+
+template <typename T>
+void fast_hadamard_transform_unnormalized_simple_impl(
+    T* vec,
+    int log2_vec_size) {
+  // NOTE: If you're here because you're profiling a model and this is
+  // slow, consider updating FFHT to generate efficient assembly for
+  // your data type!
+  if (log2_vec_size == 0) {
+    return;
+  }
+
+  int step = 1;
+  const auto vec_size = 1 << log2_vec_size;
+  while (step < vec_size) {
+    for (int ii = 0; ii < vec_size; ii += step * 2) {
+      for (int jj = ii; jj < ii + step; ++jj) {
+        auto x = vec[jj];
+        auto y = vec[jj + step];
+        vec[jj] = x + y;
+        vec[jj + step] = x - y;
+      }
+    }
+    step *= 2;
+  }
+}
+
+template <typename T>
+void fast_hadamard_transform_simple_impl(T* vec, int log2_vec_size) {
+  fast_hadamard_transform_unnormalized_simple_impl(vec, log2_vec_size);
+  normalize_after_fht(vec, log2_vec_size);
+}
+
+inline void fast_hadamard_transform_ffht_impl(float* vec, int log2_vec_size) {
+#if defined(__aarch64__) || defined(__x86_64__)
+  if (log2_vec_size <= 0) {
+    return;
+  }
+
+  fht_float(vec, log2_vec_size);
+  normalize_after_fht(vec, log2_vec_size);
+#else
+  fast_hadamard_transform_simple_impl(vec, log2_vec_size);
+#endif
+}
+
+} // namespace internal
+
+// Compute the fast Walsh-Hadamard transform
+// (https://en.wikipedia.org/wiki/Fast_Walsh%E2%80%93Hadamard_transform)
+// of vec, which must be of length (1 << log2_vec_size).
+template <typename T>
+void fast_hadamard_transform(T* vec, int log2_vec_size) {
+  if constexpr (std::is_same_v<T, float>) {
+    internal::fast_hadamard_transform_ffht_impl(vec, log2_vec_size);
+  } else {
+    internal::fast_hadamard_transform_simple_impl(vec, log2_vec_size);
+  }
+}
+
+// Compute a quantized fast Walsh-Hadamard transform of vec, which
+// must be of length (1 << log2_vec_size) and symmetrically quantized.
+//
+// Note that we do not need to know the quantization scale, because
+// the Fast Hadamard transform is a series of additions and
+// subtractions with a final multiplication step, and we have the
+// following trivial identities:
+//
+// scale * a + scale * b = scale * (a + b)  (addition doesn't need the scale)
+// alpha * (scale * a) = scale * (alpha * a) (multiplication doesn't need the
+// scale)
+void fast_hadamard_transform_symmetric_quantized_s16(
+    int16_t* vec,
+    int log2_vec_size);
+
+// Like fast_hadamard_transform, but vec must be of length 28 * (1 <<
+// log2_vec_size) and the transform is computed by interpreting vec as
+// a (28, 1 << log2_vec_size) matrix and performing 28 FHTs, followed
+// by (1 << log2_vec_size) multiplications by a particular Hadamard
+// matrix of size 28x28 (see special_hadamard_code_gen.py for the
+// exact matrix).
+template <typename T>
+void fast_hadamard_transform_28N(T* vec, int log2_vec_size) {
+  const int vec_size = (1 << log2_vec_size);
+  for (int ii = 0; ii < 28; ++ii) {
+    fast_hadamard_transform(&vec[ii * vec_size], log2_vec_size);
+  }
+  for (int ii = 0; ii < vec_size; ++ii) {
+    hadamard_mult_28_strided(&vec[ii], vec_size);
+  }
+}
+
+// We don't need the quantization scale; see the function-level
+// comment on fast_hadamard_transform_symmetric_quantized_s16 for
+// details.
+void fast_hadamard_transform_symmetric_quantized_s16_28N(
+    int16_t* vec,
+    int log2_vec_size);
+
+} // namespace executorch
diff --git a/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h b/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h
new file mode 100644
index 0000000000..ca5a8d61e7
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h
@@ -0,0 +1,241 @@
+// @generated by special_hadamard_code_gen.py strided_cpu
+
+
+#pragma once
+
+
+template <typename T>
+void hadamard_mult_12_strided(T* input, int stride) {
+    T x[12];
+    T out[12];
+    x[0] = input[0 * stride];
+    x[1] = input[1 * stride];
+    x[2] = input[2 * stride];
+    x[3] = input[3 * stride];
+    x[4] = input[4 * stride];
+    x[5] = input[5 * stride];
+    x[6] = input[6 * stride];
+    x[7] = input[7 * stride];
+    x[8] = input[8 * stride];
+    x[9] = input[9 * stride];
+    x[10] = input[10 * stride];
+    x[11] = input[11 * stride];
+    out[0] = + x[0] - x[1] - x[2] - x[3] - x[4] - x[5] - x[6] - x[7] - x[8] - x[9] - x[10] - x[11];
+    out[1] = + x[0] + x[1] - x[2] + x[3] - x[4] - x[5] - x[6] + x[7] + x[8] + x[9] - x[10] + x[11];
+    out[2] = + x[0] + x[1] + x[2] - x[3] + x[4] - x[5] - x[6] - x[7] + x[8] + x[9] + x[10] - x[11];
+    out[3] = + x[0] - x[1] + x[2] + x[3] - x[4] + x[5] - x[6] - x[7] - x[8] + x[9] + x[10] + x[11];
+    out[4] = + x[0] + x[1] - x[2] + x[3] + x[4] - x[5] + x[6] - x[7] - x[8] - x[9] + x[10] + x[11];
+    out[5] = + x[0] + x[1] + x[2] - x[3] + x[4] + x[5] - x[6] + x[7] - x[8] - x[9] - x[10] + x[11];
+    out[6] = + x[0] + x[1] + x[2] + x[3] - x[4] + x[5] + x[6] - x[7] + x[8] - x[9] - x[10] - x[11];
+    out[7] = + x[0] - x[1] + x[2] + x[3] + x[4] - x[5] + x[6] + x[7] - x[8] + x[9] - x[10] - x[11];
+    out[8] = + x[0] - x[1] - x[2] + x[3] + x[4] + x[5] - x[6] + x[7] + x[8] - x[9] + x[10] - x[11];
+    out[9] = + x[0] - x[1] - x[2] - x[3] + x[4] + x[5] + x[6] - x[7] + x[8] + x[9] - x[10] + x[11];
+    out[10] = + x[0] + x[1] - x[2] - x[3] - x[4] + x[5] + x[6] + x[7] - x[8] + x[9] + x[10] - x[11];
+    out[11] = + x[0] - x[1] + x[2] - x[3] - x[4] - x[5] + x[6] + x[7] + x[8] - x[9] + x[10] + x[11];
+    #pragma unroll
+    for (int ii = 0; ii < 12; ++ii) { input[stride * ii] = out[ii]; }
+}
+
+
+template <typename T>
+void hadamard_mult_20_strided(T* input, int stride) {
+    T x[20];
+    T out[20];
+    x[0] = input[0 * stride];
+    x[1] = input[1 * stride];
+    x[2] = input[2 * stride];
+    x[3] = input[3 * stride];
+    x[4] = input[4 * stride];
+    x[5] = input[5 * stride];
+    x[6] = input[6 * stride];
+    x[7] = input[7 * stride];
+    x[8] = input[8 * stride];
+    x[9] = input[9 * stride];
+    x[10] = input[10 * stride];
+    x[11] = input[11 * stride];
+    x[12] = input[12 * stride];
+    x[13] = input[13 * stride];
+    x[14] = input[14 * stride];
+    x[15] = input[15 * stride];
+    x[16] = input[16 * stride];
+    x[17] = input[17 * stride];
+    x[18] = input[18 * stride];
+    x[19] = input[19 * stride];
+    out[0] = + x[0] - x[1] - x[2] - x[3] - x[4] + x[5] - x[6] - x[7] - x[8] - x[9] + x[10] + x[11] - x[12] - x[13] + x[14] + x[15] - x[16] + x[17] + x[18] - x[19];
+    out[1] = - x[0] + x[1] - x[2] - x[3] - x[4] - x[5] + x[6] - x[7] - x[8] - x[9] + x[10] + x[11] + x[12] - x[13] - x[14] - x[15] + x[16] - x[17] + x[18] + x[19];
+    out[2] = - x[0] - x[1] + x[2] - x[3] - x[4] - x[5] - x[6] + x[7] - x[8] - x[9] - x[10] + x[11] + x[12] + x[13] - x[14] + x[15] - x[16] + x[17] - x[18] + x[19];
+    out[3] = - x[0] - x[1] - x[2] + x[3] - x[4] - x[5] - x[6] - x[7] + x[8] - x[9] - x[10] - x[11] + x[12] + x[13] + x[14] + x[15] + x[16] - x[17] + x[18] - x[19];
+    out[4] = - x[0] - x[1] - x[2] - x[3] + x[4] - x[5] - x[6] - x[7] - x[8] + x[9] + x[10] - x[11] - x[12] + x[13] + x[14] - x[15] + x[16] + x[17] - x[18] + x[19];
+    out[5] = - x[0] + x[1] + x[2] + x[3] + x[4] + x[5] - x[6] - x[7] - x[8] - x[9] - x[10] + x[11] - x[12] - x[13] + x[14] + x[15] + x[16] - x[17] - x[18] + x[19];
+    out[6] = + x[0] - x[1] + x[2] + x[3] + x[4] - x[5] + x[6] - x[7] - x[8] - x[9] + x[10] - x[11] + x[12] - x[13] - x[14] + x[15] + x[16] + x[17] - x[18] - x[19];
+    out[7] = + x[0] + x[1] - x[2] + x[3] + x[4] - x[5] - x[6] + x[7] - x[8] - x[9] - x[10] + x[11] - x[12] + x[13] - x[14] - x[15] + x[16] + x[17] + x[18] - x[19];
+    out[8] = + x[0] + x[1] + x[2] - x[3] + x[4] - x[5] - x[6] - x[7] + x[8] - x[9] - x[10] - x[11] + x[12] - x[13] + x[14] - x[15] - x[16] + x[17] + x[18] + x[19];
+    out[9] = + x[0] + x[1] + x[2] + x[3] - x[4] - x[5] - x[6] - x[7] - x[8] + x[9] + x[10] - x[11] - x[12] + x[13] - x[14] + x[15] - x[16] - x[17] + x[18] + x[19];
+    out[10] = - x[0] - x[1] + x[2] + x[3] - x[4] + x[5] - x[6] + x[7] + x[8] - x[9] + x[10] - x[11] - x[12] - x[13] - x[14] - x[15] + x[16] + x[17] + x[18] + x[19];
+    out[11] = - x[0] - x[1] - x[2] + x[3] + x[4] - x[5] + x[6] - x[7] + x[8] + x[9] - x[10] + x[11] - x[12] - x[13] - x[14] + x[15] - x[16] + x[17] + x[18] + x[19];
+    out[12] = + x[0] - x[1] - x[2] - x[3] + x[4] + x[5] - x[6] + x[7] - x[8] + x[9] - x[10] - x[11] + x[12] - x[13] - x[14] + x[15] + x[16] - x[17] + x[18] + x[19];
+    out[13] = + x[0] + x[1] - x[2] - x[3] - x[4] + x[5] + x[6] - x[7] + x[8] - x[9] - x[10] - x[11] - x[12] + x[13] - x[14] + x[15] + x[16] + x[17] - x[18] + x[19];
+    out[14] = - x[0] + x[1] + x[2] - x[3] - x[4] - x[5] + x[6] + x[7] - x[8] + x[9] - x[10] - x[11] - x[12] - x[13] + x[14] + x[15] + x[16] + x[17] + x[18] - x[19];
+    out[15] = - x[0] + x[1] - x[2] - x[3] + x[4] - x[5] - x[6] + x[7] + x[8] - x[9] + x[10] - x[11] - x[12] - x[13] - x[14] + x[15] - x[16] - x[17] - x[18] - x[19];
+    out[16] = + x[0] - x[1] + x[2] - x[3] - x[4] - x[5] - x[6] - x[7] + x[8] + x[9] - x[10] + x[11] - x[12] - x[13] - x[14] - x[15] + x[16] - x[17] - x[18] - x[19];
+    out[17] = - x[0] + x[1] - x[2] + x[3] - x[4] + x[5] - x[6] - x[7] - x[8] + x[9] - x[10] - x[11] + x[12] - x[13] - x[14] - x[15] - x[16] + x[17] - x[18] - x[19];
+    out[18] = - x[0] - x[1] + x[2] - x[3] + x[4] + x[5] + x[6] - x[7] - x[8] - x[9] - x[10] - x[11] - x[12] + x[13] - x[14] - x[15] - x[16] - x[17] + x[18] - x[19];
+    out[19] = + x[0] - x[1] - x[2] + x[3] - x[4] - x[5] + x[6] + x[7] - x[8] - x[9] - x[10] - x[11] - x[12] - x[13] + x[14] - x[15] - x[16] - x[17] - x[18] + x[19];
+    #pragma unroll
+    for (int ii = 0; ii < 20; ++ii) { input[stride * ii] = out[ii]; }
+}
+
+
+template <typename T>
+void hadamard_mult_28_strided(T* input, int stride) {
+    T x[28];
+    T out[28];
+    x[0] = input[0 * stride];
+    x[1] = input[1 * stride];
+    x[2] = input[2 * stride];
+    x[3] = input[3 * stride];
+    x[4] = input[4 * stride];
+    x[5] = input[5 * stride];
+    x[6] = input[6 * stride];
+    x[7] = input[7 * stride];
+    x[8] = input[8 * stride];
+    x[9] = input[9 * stride];
+    x[10] = input[10 * stride];
+    x[11] = input[11 * stride];
+    x[12] = input[12 * stride];
+    x[13] = input[13 * stride];
+    x[14] = input[14 * stride];
+    x[15] = input[15 * stride];
+    x[16] = input[16 * stride];
+    x[17] = input[17 * stride];
+    x[18] = input[18 * stride];
+    x[19] = input[19 * stride];
+    x[20] = input[20 * stride];
+    x[21] = input[21 * stride];
+    x[22] = input[22 * stride];
+    x[23] = input[23 * stride];
+    x[24] = input[24 * stride];
+    x[25] = input[25 * stride];
+    x[26] = input[26 * stride];
+    x[27] = input[27 * stride];
+    out[0] = + x[0] - x[1] - x[2] - x[3] - x[4] - x[5] - x[6] + x[7] + x[8] - x[9] - x[10] - x[11] - x[12] + x[13] + x[14] - x[15] + x[16] - x[17] - x[18] + x[19] - x[20] + x[21] - x[22] - x[23] + x[24] + x[25] - x[26] - x[27];
+    out[1] = - x[0] + x[1] - x[2] - x[3] - x[4] - x[5] - x[6] + x[7] + x[8] + x[9] - x[10] - x[11] - x[12] - x[13] - x[14] + x[15] - x[16] + x[17] - x[18] - x[19] + x[20] - x[21] + x[22] - x[23] - x[24] + x[25] + x[26] - x[27];
+    out[2] = - x[0] - x[1] + x[2] - x[3] - x[4] - x[5] - x[6] - x[7] + x[8] + x[9] + x[10] - x[11] - x[12] - x[13] + x[14] - x[15] + x[16] - x[17] + x[18] - x[19] - x[20] - x[21] - x[22] + x[23] - x[24] - x[25] + x[26] + x[27];
+    out[3] = - x[0] - x[1] - x[2] + x[3] - x[4] - x[5] - x[6] - x[7] - x[8] + x[9] + x[10] + x[11] - x[12] - x[13] - x[14] + x[15] - x[16] + x[17] - x[18] + x[19] - x[20] + x[21] - x[22] - x[23] + x[24] - x[25] - x[26] + x[27];
+    out[4] = - x[0] - x[1] - x[2] - x[3] + x[4] - x[5] - x[6] - x[7] - x[8] - x[9] + x[10] + x[11] + x[12] - x[13] - x[14] - x[15] + x[16] - x[17] + x[18] - x[19] + x[20] + x[21] + x[22] - x[23] - x[24] + x[25] - x[26] - x[27];
+    out[5] = - x[0] - x[1] - x[2] - x[3] - x[4] + x[5] - x[6] - x[7] - x[8] - x[9] - x[10] + x[11] + x[12] + x[13] + x[14] - x[15] - x[16] + x[17] - x[18] + x[19] - x[20] - x[21] + x[22] + x[23] - x[24] - x[25] + x[26] - x[27];
+    out[6] = - x[0] - x[1] - x[2] - x[3] - x[4] - x[5] + x[6] + x[7] - x[8] - x[9] - x[10] - x[11] + x[12] + x[13] - x[14] + x[15] - x[16] - x[17] + x[18] - x[19] + x[20] - x[21] - x[22] + x[23] + x[24] - x[25] - x[26] + x[27];
+    out[7] = - x[0] - x[1] + x[2] + x[3] + x[4] + x[5] - x[6] + x[7] - x[8] - x[9] - x[10] - x[11] - x[12] - x[13] - x[14] + x[15] + x[16] - x[17] - x[18] + x[19] + x[20] + x[21] - x[22] + x[23] - x[24] - x[25] + x[26] - x[27];
+    out[8] = - x[0] - x[1] - x[2] + x[3] + x[4] + x[5] + x[6] - x[7] + x[8] - x[9] - x[10] - x[11] - x[12] - x[13] + x[14] - x[15] + x[16] + x[17] - x[18] - x[19] + x[20] - x[21] + x[22] - x[23] + x[24] - x[25] - x[26] + x[27];
+    out[9] = + x[0] - x[1] - x[2] - x[3] + x[4] + x[5] + x[6] - x[7] - x[8] + x[9] - x[10] - x[11] - x[12] - x[13] + x[14] + x[15] - x[16] + x[17] + x[18] - x[19] - x[20] + x[21] - x[22] + x[23] - x[24] + x[25] - x[26] - x[27];
+    out[10] = + x[0] + x[1] - x[2] - x[3] - x[4] + x[5] + x[6] - x[7] - x[8] - x[9] + x[10] - x[11] - x[12] - x[13] - x[14] + x[15] + x[16] - x[17] + x[18] + x[19] - x[20] - x[21] + x[22] - x[23] + x[24] - x[25] + x[26] - x[27];
+    out[11] = + x[0] + x[1] + x[2] - x[3] - x[4] - x[5] + x[6] - x[7] - x[8] - x[9] - x[10] + x[11] - x[12] - x[13] - x[14] - x[15] + x[16] + x[17] - x[18] + x[19] + x[20] - x[21] - x[22] + x[23] - x[24] + x[25] - x[26] + x[27];
+    out[12] = + x[0] + x[1] + x[2] + x[3] - x[4] - x[5] - x[6] - x[7] - x[8] - x[9] - x[10] - x[11] + x[12] - x[13] + x[14] - x[15] - x[16] + x[17] + x[18] - x[19] + x[20] + x[21] - x[22] - x[23] + x[24] - x[25] + x[26] - x[27];
+    out[13] = - x[0] + x[1] + x[2] + x[3] + x[4] - x[5] - x[6] - x[7] - x[8] - x[9] - x[10] - x[11] - x[12] + x[13] + x[14] + x[15] - x[16] - x[17] + x[18] + x[19] - x[20] - x[21] + x[22] - x[23] - x[24] + x[25] - x[26] + x[27];
+    out[14] = - x[0] + x[1] - x[2] + x[3] + x[4] - x[5] + x[6] + x[7] - x[8] - x[9] + x[10] + x[11] - x[12] - x[13] + x[14] - x[15] - x[16] - x[17] - x[18] - x[19] - x[20] - x[21] - x[22] + x[23] + x[24] + x[25] + x[26] - x[27];
+    out[15] = + x[0] - x[1] + x[2] - x[3] + x[4] + x[5] - x[6] - x[7] + x[8] - x[9] - x[10] + x[11] + x[12] - x[13] - x[14] + x[15] - x[16] - x[17] - x[18] - x[19] - x[20] - x[21] - x[22] - x[23] + x[24] + x[25] + x[26] + x[27];
+    out[16] = - x[0] + x[1] - x[2] + x[3] - x[4] + x[5] + x[6] - x[7] - x[8] + x[9] - x[10] - x[11] + x[12] + x[13] - x[14] - x[15] + x[16] - x[17] - x[18] - x[19] - x[20] + x[21] - x[22] - x[23] - x[24] + x[25] + x[26] + x[27];
+    out[17] = + x[0] - x[1] + x[2] - x[3] + x[4] - x[5] + x[6] + x[7] - x[8] - x[9] + x[10] - x[11] - x[12] + x[13] - x[14] - x[15] - x[16] + x[17] - x[18] - x[19] - x[20] + x[21] + x[22] - x[23] - x[24] - x[25] + x[26] + x[27];
+    out[18] = + x[0] + x[1] - x[2] + x[3] - x[4] + x[5] - x[6] + x[7] + x[8] - x[9] - x[10] + x[11] - x[12] - x[13] - x[14] - x[15] - x[16] - x[17] + x[18] - x[19] - x[20] + x[21] + x[22] + x[23] - x[24] - x[25] - x[26] + x[27];
+    out[19] = - x[0] + x[1] + x[2] - x[3] + x[4] - x[5] + x[6] - x[7] + x[8] + x[9] - x[10] - x[11] + x[12] - x[13] - x[14] - x[15] - x[16] - x[17] - x[18] + x[19] - x[20] + x[21] + x[22] + x[23] + x[24] - x[25] - x[26] - x[27];
+    out[20] = + x[0] - x[1] + x[2] + x[3] - x[4] + x[5] - x[6] - x[7] - x[8] + x[9] + x[10] - x[11] - x[12] + x[13] - x[14] - x[15] - x[16] - x[17] - x[18] - x[19] + x[20] - x[21] + x[22] + x[23] + x[24] + x[25] - x[26] - x[27];
+    out[21] = - x[0] + x[1] + x[2] - x[3] - x[4] + x[5] + x[6] - x[7] + x[8] - x[9] + x[10] + x[11] - x[12] + x[13] + x[14] + x[15] - x[16] - x[17] - x[18] - x[19] + x[20] + x[21] - x[22] - x[23] - x[24] - x[25] - x[26] - x[27];
+    out[22] = + x[0] - x[1] + x[2] + x[3] - x[4] - x[5] + x[6] + x[7] - x[8] + x[9] - x[10] + x[11] + x[12] - x[13] + x[14] + x[15] + x[16] - x[17] - x[18] - x[19] - x[20] - x[21] + x[22] - x[23] - x[24] - x[25] - x[26] - x[27];
+    out[23] = + x[0] + x[1] - x[2] + x[3] + x[4] - x[5] - x[6] - x[7] + x[8] - x[9] + x[10] - x[11] + x[12] + x[13] - x[14] + x[15] + x[16] + x[17] - x[18] - x[19] - x[20] - x[21] - x[22] + x[23] - x[24] - x[25] - x[26] - x[27];
+    out[24] = - x[0] + x[1] + x[2] - x[3] + x[4] + x[5] - x[6] + x[7] - x[8] + x[9] - x[10] + x[11] - x[12] + x[13] - x[14] - x[15] + x[16] + x[17] + x[18] - x[19] - x[20] - x[21] - x[22] - x[23] + x[24] - x[25] - x[26] - x[27];
+    out[25] = - x[0] - x[1] + x[2] + x[3] - x[4] + x[5] + x[6] + x[7] + x[8] - x[9] + x[10] - x[11] + x[12] - x[13] - x[14] - x[15] - x[16] + x[17] + x[18] + x[19] - x[20] - x[21] - x[22] - x[23] - x[24] + x[25] - x[26] - x[27];
+    out[26] = + x[0] - x[1] - x[2] + x[3] + x[4] - x[5] + x[6] - x[7] + x[8] + x[9] - x[10] + x[11] - x[12] + x[13] - x[14] - x[15] - x[16] - x[17] + x[18] + x[19] + x[20] - x[21] - x[22] - x[23] - x[24] - x[25] + x[26] - x[27];
+    out[27] = + x[0] + x[1] - x[2] - x[3] + x[4] + x[5] - x[6] + x[7] - x[8] + x[9] + x[10] - x[11] + x[12] - x[13] + x[14] - x[15] - x[16] - x[17] - x[18] + x[19] + x[20] - x[21] - x[22] - x[23] - x[24] - x[25] - x[26] + x[27];
+    #pragma unroll
+    for (int ii = 0; ii < 28; ++ii) { input[stride * ii] = out[ii]; }
+}
+
+
+template <typename T>
+void hadamard_mult_40_strided(T* input, int stride) {
+    T x[40];
+    T out[40];
+    x[0] = input[0 * stride];
+    x[1] = input[1 * stride];
+    x[2] = input[2 * stride];
+    x[3] = input[3 * stride];
+    x[4] = input[4 * stride];
+    x[5] = input[5 * stride];
+    x[6] = input[6 * stride];
+    x[7] = input[7 * stride];
+    x[8] = input[8 * stride];
+    x[9] = input[9 * stride];
+    x[10] = input[10 * stride];
+    x[11] = input[11 * stride];
+    x[12] = input[12 * stride];
+    x[13] = input[13 * stride];
+    x[14] = input[14 * stride];
+    x[15] = input[15 * stride];
+    x[16] = input[16 * stride];
+    x[17] = input[17 * stride];
+    x[18] = input[18 * stride];
+    x[19] = input[19 * stride];
+    x[20] = input[20 * stride];
+    x[21] = input[21 * stride];
+    x[22] = input[22 * stride];
+    x[23] = input[23 * stride];
+    x[24] = input[24 * stride];
+    x[25] = input[25 * stride];
+    x[26] = input[26 * stride];
+    x[27] = input[27 * stride];
+    x[28] = input[28 * stride];
+    x[29] = input[29 * stride];
+    x[30] = input[30 * stride];
+    x[31] = input[31 * stride];
+    x[32] = input[32 * stride];
+    x[33] = input[33 * stride];
+    x[34] = input[34 * stride];
+    x[35] = input[35 * stride];
+    x[36] = input[36 * stride];
+    x[37] = input[37 * stride];
+    x[38] = input[38 * stride];
+    x[39] = input[39 * stride];
+    out[0] = + x[0] - x[1] - x[2] - x[3] - x[4] - x[5] - x[6] - x[7] - x[8] - x[9] - x[10] - x[11] - x[12] - x[13] - x[14] - x[15] - x[16] - x[17] - x[18] - x[19] + x[20] - x[21] - x[22] - x[23] - x[24] - x[25] - x[26] - x[27] - x[28] - x[29] - x[30] - x[31] - x[32] - x[33] - x[34] - x[35] - x[36] - x[37] - x[38] - x[39];
+    out[1] = + x[0] + x[1] - x[2] + x[3] + x[4] - x[5] - x[6] - x[7] - x[8] + x[9] - x[10] + x[11] - x[12] + x[13] + x[14] + x[15] + x[16] - x[17] - x[18] + x[19] + x[20] + x[21] - x[22] + x[23] + x[24] - x[25] - x[26] - x[27] - x[28] + x[29] - x[30] + x[31] - x[32] + x[33] + x[34] + x[35] + x[36] - x[37] - x[38] + x[39];
+    out[2] = + x[0] + x[1] + x[2] - x[3] + x[4] + x[5] - x[6] - x[7] - x[8] - x[9] + x[10] - x[11] + x[12] - x[13] + x[14] + x[15] + x[16] + x[17] - x[18] - x[19] + x[20] + x[21] + x[22] - x[23] + x[24] + x[25] - x[26] - x[27] - x[28] - x[29] + x[30] - x[31] + x[32] - x[33] + x[34] + x[35] + x[36] + x[37] - x[38] - x[39];
+    out[3] = + x[0] - x[1] + x[2] + x[3] - x[4] + x[5] + x[6] - x[7] - x[8] - x[9] - x[10] + x[11] - x[12] + x[13] - x[14] + x[15] + x[16] + x[17] + x[18] - x[19] + x[20] - x[21] + x[22] + x[23] - x[24] + x[25] + x[26] - x[27] - x[28] - x[29] - x[30] + x[31] - x[32] + x[33] - x[34] + x[35] + x[36] + x[37] + x[38] - x[39];
+    out[4] = + x[0] - x[1] - x[2] + x[3] + x[4] - x[5] + x[6] + x[7] - x[8] - x[9] - x[10] - x[11] + x[12] - x[13] + x[14] - x[15] + x[16] + x[17] + x[18] + x[19] + x[20] - x[21] - x[22] + x[23] + x[24] - x[25] + x[26] + x[27] - x[28] - x[29] - x[30] - x[31] + x[32] - x[33] + x[34] - x[35] + x[36] + x[37] + x[38] + x[39];
+    out[5] = + x[0] + x[1] - x[2] - x[3] + x[4] + x[5] - x[6] + x[7] + x[8] - x[9] - x[10] - x[11] - x[12] + x[13] - x[14] + x[15] - x[16] + x[17] + x[18] + x[19] + x[20] + x[21] - x[22] - x[23] + x[24] + x[25] - x[26] + x[27] + x[28] - x[29] - x[30] - x[31] - x[32] + x[33] - x[34] + x[35] - x[36] + x[37] + x[38] + x[39];
+    out[6] = + x[0] + x[1] + x[2] - x[3] - x[4] + x[5] + x[6] - x[7] + x[8] + x[9] - x[10] - x[11] - x[12] - x[13] + x[14] - x[15] + x[16] - x[17] + x[18] + x[19] + x[20] + x[21] + x[22] - x[23] - x[24] + x[25] + x[26] - x[27] + x[28] + x[29] - x[30] - x[31] - x[32] - x[33] + x[34] - x[35] + x[36] - x[37] + x[38] + x[39];
+    out[7] = + x[0] + x[1] + x[2] + x[3] - x[4] - x[5] + x[6] + x[7] - x[8] + x[9] + x[10] - x[11] - x[12] - x[13] - x[14] + x[15] - x[16] + x[17] - x[18] + x[19] + x[20] + x[21] + x[22] + x[23] - x[24] - x[25] + x[26] + x[27] - x[28] + x[29] + x[30] - x[31] - x[32] - x[33] - x[34] + x[35] - x[36] + x[37] - x[38] + x[39];
+    out[8] = + x[0] + x[1] + x[2] + x[3] + x[4] - x[5] - x[6] + x[7] + x[8] - x[9] + x[10] + x[11] - x[12] - x[13] - x[14] - x[15] + x[16] - x[17] + x[18] - x[19] + x[20] + x[21] + x[22] + x[23] + x[24] - x[25] - x[26] + x[27] + x[28] - x[29] + x[30] + x[31] - x[32] - x[33] - x[34] - x[35] + x[36] - x[37] + x[38] - x[39];
+    out[9] = + x[0] - x[1] + x[2] + x[3] + x[4] + x[5] - x[6] - x[7] + x[8] + x[9] - x[10] + x[11] + x[12] - x[13] - x[14] - x[15] - x[16] + x[17] - x[18] + x[19] + x[20] - x[21] + x[22] + x[23] + x[24] + x[25] - x[26] - x[27] + x[28] + x[29] - x[30] + x[31] + x[32] - x[33] - x[34] - x[35] - x[36] + x[37] - x[38] + x[39];
+    out[10] = + x[0] + x[1] - x[2] + x[3] + x[4] + x[5] + x[6] - x[7] - x[8] + x[9] + x[10] - x[11] + x[12] + x[13] - x[14] - x[15] - x[16] - x[17] + x[18] - x[19] + x[20] + x[21] - x[22] + x[23] + x[24] + x[25] + x[26] - x[27] - x[28] + x[29] + x[30] - x[31] + x[32] + x[33] - x[34] - x[35] - x[36] - x[37] + x[38] - x[39];
+    out[11] = + x[0] - x[1] + x[2] - x[3] + x[4] + x[5] + x[6] + x[7] - x[8] - x[9] + x[10] + x[11] - x[12] + x[13] + x[14] - x[15] - x[16] - x[17] - x[18] + x[19] + x[20] - x[21] + x[22] - x[23] + x[24] + x[25] + x[26] + x[27] - x[28] - x[29] + x[30] + x[31] - x[32] + x[33] + x[34] - x[35] - x[36] - x[37] - x[38] + x[39];
+    out[12] = + x[0] + x[1] - x[2] + x[3] - x[4] + x[5] + x[6] + x[7] + x[8] - x[9] - x[10] + x[11] + x[12] - x[13] + x[14] + x[15] - x[16] - x[17] - x[18] - x[19] + x[20] + x[21] - x[22] + x[23] - x[24] + x[25] + x[26] + x[27] + x[28] - x[29] - x[30] + x[31] + x[32] - x[33] + x[34] + x[35] - x[36] - x[37] - x[38] - x[39];
+    out[13] = + x[0] - x[1] + x[2] - x[3] + x[4] - x[5] + x[6] + x[7] + x[8] + x[9] - x[10] - x[11] + x[12] + x[13] - x[14] + x[15] + x[16] - x[17] - x[18] - x[19] + x[20] - x[21] + x[22] - x[23] + x[24] - x[25] + x[26] + x[27] + x[28] + x[29] - x[30] - x[31] + x[32] + x[33] - x[34] + x[35] + x[36] - x[37] - x[38] - x[39];
+    out[14] = + x[0] - x[1] - x[2] + x[3] - x[4] + x[5] - x[6] + x[7] + x[8] + x[9] + x[10] - x[11] - x[12] + x[13] + x[14] - x[15] + x[16] + x[17] - x[18] - x[19] + x[20] - x[21] - x[22] + x[23] - x[24] + x[25] - x[26] + x[27] + x[28] + x[29] + x[30] - x[31] - x[32] + x[33] + x[34] - x[35] + x[36] + x[37] - x[38] - x[39];
+    out[15] = + x[0] - x[1] - x[2] - x[3] + x[4] - x[5] + x[6] - x[7] + x[8] + x[9] + x[10] + x[11] - x[12] - x[13] + x[14] + x[15] - x[16] + x[17] + x[18] - x[19] + x[20] - x[21] - x[22] - x[23] + x[24] - x[25] + x[26] - x[27] + x[28] + x[29] + x[30] + x[31] - x[32] - x[33] + x[34] + x[35] - x[36] + x[37] + x[38] - x[39];
+    out[16] = + x[0] - x[1] - x[2] - x[3] - x[4] + x[5] - x[6] + x[7] - x[8] + x[9] + x[10] + x[11] + x[12] - x[13] - x[14] + x[15] + x[16] - x[17] + x[18] + x[19] + x[20] - x[21] - x[22] - x[23] - x[24] + x[25] - x[26] + x[27] - x[28] + x[29] + x[30] + x[31] + x[32] - x[33] - x[34] + x[35] + x[36] - x[37] + x[38] + x[39];
+    out[17] = + x[0] + x[1] - x[2] - x[3] - x[4] - x[5] + x[6] - x[7] + x[8] - x[9] + x[10] + x[11] + x[12] + x[13] - x[14] - x[15] + x[16] + x[17] - x[18] + x[19] + x[20] + x[21] - x[22] - x[23] - x[24] - x[25] + x[26] - x[27] + x[28] - x[29] + x[30] + x[31] + x[32] + x[33] - x[34] - x[35] + x[36] + x[37] - x[38] + x[39];
+    out[18] = + x[0] + x[1] + x[2] - x[3] - x[4] - x[5] - x[6] + x[7] - x[8] + x[9] - x[10] + x[11] + x[12] + x[13] + x[14] - x[15] - x[16] + x[17] + x[18] - x[19] + x[20] + x[21] + x[22] - x[23] - x[24] - x[25] - x[26] + x[27] - x[28] + x[29] - x[30] + x[31] + x[32] + x[33] + x[34] - x[35] - x[36] + x[37] + x[38] - x[39];
+    out[19] = + x[0] - x[1] + x[2] + x[3] - x[4] - x[5] - x[6] - x[7] + x[8] - x[9] + x[10] - x[11] + x[12] + x[13] + x[14] + x[15] - x[16] - x[17] + x[18] + x[19] + x[20] - x[21] + x[22] + x[23] - x[24] - x[25] - x[26] - x[27] + x[28] - x[29] + x[30] - x[31] + x[32] + x[33] + x[34] + x[35] - x[36] - x[37] + x[38] + x[39];
+    out[20] = + x[0] - x[1] - x[2] - x[3] - x[4] - x[5] - x[6] - x[7] - x[8] - x[9] - x[10] - x[11] - x[12] - x[13] - x[14] - x[15] - x[16] - x[17] - x[18] - x[19] - x[20] + x[21] + x[22] + x[23] + x[24] + x[25] + x[26] + x[27] + x[28] + x[29] + x[30] + x[31] + x[32] + x[33] + x[34] + x[35] + x[36] + x[37] + x[38] + x[39];
+    out[21] = + x[0] + x[1] - x[2] + x[3] + x[4] - x[5] - x[6] - x[7] - x[8] + x[9] - x[10] + x[11] - x[12] + x[13] + x[14] + x[15] + x[16] - x[17] - x[18] + x[19] - x[20] - x[21] + x[22] - x[23] - x[24] + x[25] + x[26] + x[27] + x[28] - x[29] + x[30] - x[31] + x[32] - x[33] - x[34] - x[35] - x[36] + x[37] + x[38] - x[39];
+    out[22] = + x[0] + x[1] + x[2] - x[3] + x[4] + x[5] - x[6] - x[7] - x[8] - x[9] + x[10] - x[11] + x[12] - x[13] + x[14] + x[15] + x[16] + x[17] - x[18] - x[19] - x[20] - x[21] - x[22] + x[23] - x[24] - x[25] + x[26] + x[27] + x[28] + x[29] - x[30] + x[31] - x[32] + x[33] - x[34] - x[35] - x[36] - x[37] + x[38] + x[39];
+    out[23] = + x[0] - x[1] + x[2] + x[3] - x[4] + x[5] + x[6] - x[7] - x[8] - x[9] - x[10] + x[11] - x[12] + x[13] - x[14] + x[15] + x[16] + x[17] + x[18] - x[19] - x[20] + x[21] - x[22] - x[23] + x[24] - x[25] - x[26] + x[27] + x[28] + x[29] + x[30] - x[31] + x[32] - x[33] + x[34] - x[35] - x[36] - x[37] - x[38] + x[39];
+    out[24] = + x[0] - x[1] - x[2] + x[3] + x[4] - x[5] + x[6] + x[7] - x[8] - x[9] - x[10] - x[11] + x[12] - x[13] + x[14] - x[15] + x[16] + x[17] + x[18] + x[19] - x[20] + x[21] + x[22] - x[23] - x[24] + x[25] - x[26] - x[27] + x[28] + x[29] + x[30] + x[31] - x[32] + x[33] - x[34] + x[35] - x[36] - x[37] - x[38] - x[39];
+    out[25] = + x[0] + x[1] - x[2] - x[3] + x[4] + x[5] - x[6] + x[7] + x[8] - x[9] - x[10] - x[11] - x[12] + x[13] - x[14] + x[15] - x[16] + x[17] + x[18] + x[19] - x[20] - x[21] + x[22] + x[23] - x[24] - x[25] + x[26] - x[27] - x[28] + x[29] + x[30] + x[31] + x[32] - x[33] + x[34] - x[35] + x[36] - x[37] - x[38] - x[39];
+    out[26] = + x[0] + x[1] + x[2] - x[3] - x[4] + x[5] + x[6] - x[7] + x[8] + x[9] - x[10] - x[11] - x[12] - x[13] + x[14] - x[15] + x[16] - x[17] + x[18] + x[19] - x[20] - x[21] - x[22] + x[23] + x[24] - x[25] - x[26] + x[27] - x[28] - x[29] + x[30] + x[31] + x[32] + x[33] - x[34] + x[35] - x[36] + x[37] - x[38] - x[39];
+    out[27] = + x[0] + x[1] + x[2] + x[3] - x[4] - x[5] + x[6] + x[7] - x[8] + x[9] + x[10] - x[11] - x[12] - x[13] - x[14] + x[15] - x[16] + x[17] - x[18] + x[19] - x[20] - x[21] - x[22] - x[23] + x[24] + x[25] - x[26] - x[27] + x[28] - x[29] - x[30] + x[31] + x[32] + x[33] + x[34] - x[35] + x[36] - x[37] + x[38] - x[39];
+    out[28] = + x[0] + x[1] + x[2] + x[3] + x[4] - x[5] - x[6] + x[7] + x[8] - x[9] + x[10] + x[11] - x[12] - x[13] - x[14] - x[15] + x[16] - x[17] + x[18] - x[19] - x[20] - x[21] - x[22] - x[23] - x[24] + x[25] + x[26] - x[27] - x[28] + x[29] - x[30] - x[31] + x[32] + x[33] + x[34] + x[35] - x[36] + x[37] - x[38] + x[39];
+    out[29] = + x[0] - x[1] + x[2] + x[3] + x[4] + x[5] - x[6] - x[7] + x[8] + x[9] - x[10] + x[11] + x[12] - x[13] - x[14] - x[15] - x[16] + x[17] - x[18] + x[19] - x[20] + x[21] - x[22] - x[23] - x[24] - x[25] + x[26] + x[27] - x[28] - x[29] + x[30] - x[31] - x[32] + x[33] + x[34] + x[35] + x[36] - x[37] + x[38] - x[39];
+    out[30] = + x[0] + x[1] - x[2] + x[3] + x[4] + x[5] + x[6] - x[7] - x[8] + x[9] + x[10] - x[11] + x[12] + x[13] - x[14] - x[15] - x[16] - x[17] + x[18] - x[19] - x[20] - x[21] + x[22] - x[23] - x[24] - x[25] - x[26] + x[27] + x[28] - x[29] - x[30] + x[31] - x[32] - x[33] + x[34] + x[35] + x[36] + x[37] - x[38] + x[39];
+    out[31] = + x[0] - x[1] + x[2] - x[3] + x[4] + x[5] + x[6] + x[7] - x[8] - x[9] + x[10] + x[11] - x[12] + x[13] + x[14] - x[15] - x[16] - x[17] - x[18] + x[19] - x[20] + x[21] - x[22] + x[23] - x[24] - x[25] - x[26] - x[27] + x[28] + x[29] - x[30] - x[31] + x[32] - x[33] - x[34] + x[35] + x[36] + x[37] + x[38] - x[39];
+    out[32] = + x[0] + x[1] - x[2] + x[3] - x[4] + x[5] + x[6] + x[7] + x[8] - x[9] - x[10] + x[11] + x[12] - x[13] + x[14] + x[15] - x[16] - x[17] - x[18] - x[19] - x[20] - x[21] + x[22] - x[23] + x[24] - x[25] - x[26] - x[27] - x[28] + x[29] + x[30] - x[31] - x[32] + x[33] - x[34] - x[35] + x[36] + x[37] + x[38] + x[39];
+    out[33] = + x[0] - x[1] + x[2] - x[3] + x[4] - x[5] + x[6] + x[7] + x[8] + x[9] - x[10] - x[11] + x[12] + x[13] - x[14] + x[15] + x[16] - x[17] - x[18] - x[19] - x[20] + x[21] - x[22] + x[23] - x[24] + x[25] - x[26] - x[27] - x[28] - x[29] + x[30] + x[31] - x[32] - x[33] + x[34] - x[35] - x[36] + x[37] + x[38] + x[39];
+    out[34] = + x[0] - x[1] - x[2] + x[3] - x[4] + x[5] - x[6] + x[7] + x[8] + x[9] + x[10] - x[11] - x[12] + x[13] + x[14] - x[15] + x[16] + x[17] - x[18] - x[19] - x[20] + x[21] + x[22] - x[23] + x[24] - x[25] + x[26] - x[27] - x[28] - x[29] - x[30] + x[31] + x[32] - x[33] - x[34] + x[35] - x[36] - x[37] + x[38] + x[39];
+    out[35] = + x[0] - x[1] - x[2] - x[3] + x[4] - x[5] + x[6] - x[7] + x[8] + x[9] + x[10] + x[11] - x[12] - x[13] + x[14] + x[15] - x[16] + x[17] + x[18] - x[19] - x[20] + x[21] + x[22] + x[23] - x[24] + x[25] - x[26] + x[27] - x[28] - x[29] - x[30] - x[31] + x[32] + x[33] - x[34] - x[35] + x[36] - x[37] - x[38] + x[39];
+    out[36] = + x[0] - x[1] - x[2] - x[3] - x[4] + x[5] - x[6] + x[7] - x[8] + x[9] + x[10] + x[11] + x[12] - x[13] - x[14] + x[15] + x[16] - x[17] + x[18] + x[19] - x[20] + x[21] + x[22] + x[23] + x[24] - x[25] + x[26] - x[27] + x[28] - x[29] - x[30] - x[31] - x[32] + x[33] + x[34] - x[35] - x[36] + x[37] - x[38] - x[39];
+    out[37] = + x[0] + x[1] - x[2] - x[3] - x[4] - x[5] + x[6] - x[7] + x[8] - x[9] + x[10] + x[11] + x[12] + x[13] - x[14] - x[15] + x[16] + x[17] - x[18] + x[19] - x[20] - x[21] + x[22] + x[23] + x[24] + x[25] - x[26] + x[27] - x[28] + x[29] - x[30] - x[31] - x[32] - x[33] + x[34] + x[35] - x[36] - x[37] + x[38] - x[39];
+    out[38] = + x[0] + x[1] + x[2] - x[3] - x[4] - x[5] - x[6] + x[7] - x[8] + x[9] - x[10] + x[11] + x[12] + x[13] + x[14] - x[15] - x[16] + x[17] + x[18] - x[19] - x[20] - x[21] - x[22] + x[23] + x[24] + x[25] + x[26] - x[27] + x[28] - x[29] + x[30] - x[31] - x[32] - x[33] - x[34] + x[35] + x[36] - x[37] - x[38] + x[39];
+    out[39] = + x[0] - x[1] + x[2] + x[3] - x[4] - x[5] - x[6] - x[7] + x[8] - x[9] + x[10] - x[11] + x[12] + x[13] + x[14] + x[15] - x[16] - x[17] + x[18] + x[19] - x[20] + x[21] - x[22] - x[23] + x[24] + x[25] + x[26] + x[27] - x[28] + x[29] - x[30] + x[31] - x[32] - x[33] - x[34] - x[35] + x[36] + x[37] - x[38] - x[39];
+    #pragma unroll
+    for (int ii = 0; ii < 40; ++ii) { input[stride * ii] = out[ii]; }
+}
+
diff --git a/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py b/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py
new file mode 100644
index 0000000000..a8b9feb078
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py
@@ -0,0 +1,279 @@
+# Portions (c) Meta Platforms, Inc. and affiliates.
+# This file is adapted from
+# https://github.com/Dao-AILab/fast-hadamard-transform/blob/master/csrc/code_gen.py .
+
+# BSD 3-Clause License
+
+# Copyright (c) 2022, the respective contributors, as shown by the AUTHORS file.
+# All rights reserved.
+
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions are met:
+
+# * Redistributions of source code must retain the above copyright notice, this
+#   list of conditions and the following disclaimer.
+
+# * Redistributions in binary form must reproduce the above copyright notice,
+#   this list of conditions and the following disclaimer in the documentation
+#   and/or other materials provided with the distribution.
+
+# * Neither the name of the copyright holder nor the names of its
+#   contributors may be used to endorse or promote products derived from
+#   this software without specific prior written permission.
+
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+from pathlib import Path
+
+import numpy as np
+
+# From https://en.wikipedia.org/wiki/Paley_construction (construction II for q = 5)
+
+had_12_paley = """
++-++++++++++
+--+-+-+-+-+-
++++-++----++
++---+--+-++-
++++++-++----
++-+---+--+-+
+++--+++-++--
++--++---+--+
+++----+++-++
++--+-++---+-
+++++----+++-
++-+--+-++---
+"""
+
+# From http://neilsloane.com/hadamard/
+
+had_12 = """
++-----------
+++-+---+++-+
++++-+---+++-
++-++-+---+++
+++-++-+---++
++++-++-+---+
+++++-++-+---
++-+++-++-+--
++--+++-++-+-
++---+++-++-+
+++---+++-++-
++-+---+++-++
+"""
+
+had_20_will = """
++----+----++--++-++-
+-+----+---+++---+-++
+--+----+---+++-+-+-+
+---+----+---+++++-+-
+----+----++--++-++-+
+-+++++-----+--+++--+
++-+++-+---+-+--+++--
+++-++--+---+-+--+++-
++++-+---+---+-+--+++
+++++-----++--+-+--++
+--++-+-++-+-----++++
+---++-+-++-+---+-+++
++---++-+-+--+--++-++
+++---++-+----+-+++-+
+-++---++-+----+++++-
+-+--+--++-+----+----
++-+-----++-+----+---
+-+-+-+---+--+----+--
+--+-+++------+----+-
++--+--++------+----+
+"""
+
+
+had_28_will = """
++------++----++-+--+-+--++--
+-+-----+++-----+-+--+-+--++-
+--+-----+++---+-+-+----+--++
+---+-----+++---+-+-+-+--+--+
+----+-----+++---+-+-+++--+--
+-----+-----++++--+-+--++--+-
+------++----++-+--+-+--++--+
+--++++-+-------++--+++-+--+-
+---++++-+-----+-++--+-+-+--+
++---+++--+----++-++--+-+-+--
+++---++---+----++-++--+-+-+-
++++---+----+----++-++--+-+-+
+++++--------+-+--++-++--+-+-
+-++++--------+++--++--+--+-+
+-+-++-++--++--+--------++++-
++-+-++--+--++--+--------++++
+-+-+-++--+--++--+----+---+++
++-+-+-++--+--+---+---++---++
+++-+-+-++--+------+--+++---+
+-++-+-+-++--+------+-++++---
++-++-+---++--+------+-++++--
+-++--++-+-++-+++----++------
++-++--++-+-++-+++-----+-----
+++-++---+-+-++-+++-----+----
+-++-++-+-+-+-+--+++-----+---
+--++-++++-+-+----+++-----+--
++--++-+-++-+-+----+++-----+-
+++--++-+-++-+-+----++------+
+"""
+
+
+had_40_tpal = """
++-------------------+-------------------
+++-++----+-+-++++--+++-++----+-+-++++--+
++++-++----+-+-++++--+++-++----+-+-++++--
++-++-++----+-+-++++-+-++-++----+-+-++++-
++--++-++----+-+-+++++--++-++----+-+-++++
+++--++-++----+-+-+++++--++-++----+-+-+++
++++--++-++----+-+-+++++--++-++----+-+-++
+++++--++-++----+-+-+++++--++-++----+-+-+
++++++--++-++----+-+-+++++--++-++----+-+-
++-++++--++-++----+-++-++++--++-++----+-+
+++-++++--++-++----+-++-++++--++-++----+-
++-+-++++--++-++----++-+-++++--++-++----+
+++-+-++++--++-++----++-+-++++--++-++----
++-+-+-++++--++-++---+-+-+-++++--++-++---
++--+-+-++++--++-++--+--+-+-++++--++-++--
++---+-+-++++--++-++-+---+-+-++++--++-++-
++----+-+-++++--++-+++----+-+-++++--++-++
+++----+-+-++++--++-+++----+-+-++++--++-+
++++----+-+-++++--++-+++----+-+-++++--++-
++-++----+-+-++++--+++-++----+-+-++++--++
++--------------------+++++++++++++++++++
+++-++----+-+-++++--+--+--++++-+-+----++-
++++-++----+-+-++++-----+--++++-+-+----++
++-++-++----+-+-++++--+--+--++++-+-+----+
++--++-++----+-+-++++-++--+--++++-+-+----
+++--++-++----+-+-+++--++--+--++++-+-+---
++++--++-++----+-+-++---++--+--++++-+-+--
+++++--++-++----+-+-+----++--+--++++-+-+-
++++++--++-++----+-+------++--+--++++-+-+
++-++++--++-++----+-+-+----++--+--++++-+-
+++-++++--++-++----+---+----++--+--++++-+
++-+-++++--++-++----+-+-+----++--+--++++-
+++-+-++++--++-++------+-+----++--+--++++
++-+-+-++++--++-++----+-+-+----++--+--+++
++--+-+-++++--++-++---++-+-+----++--+--++
++---+-+-++++--++-++--+++-+-+----++--+--+
++----+-+-++++--++-++-++++-+-+----++--+--
+++----+-+-++++--++-+--++++-+-+----++--+-
++++----+-+-++++--++----++++-+-+----++--+
++-++----+-+-++++--++-+--++++-+-+----++--
+"""
+
+# NOTE: the original Dao-AILab/fast-hadamard-transform uses had_12_paley rather than
+# had_12 here. However, SpinQuant and QuaRot seem to use had_12, so we follow them here.
+had_strings = [had_12, had_20_will, had_28_will, had_40_tpal]
+
+header = """
+
+#pragma once
+
+"""
+
+
+TEMPLATE = """
+__device__ __forceinline__ void hadamard_mult_thread_{N}(float x[{N}]) {{
+    float out[{N}];
+    {code}
+    #pragma unroll
+    for (int i = 0; i < {N}; i++) {{ x[i] = out[i]; }}
+}}
+
+"""
+
+
+CPU_TEMPLATE = """
+template <typename T>
+void hadamard_mult_{N}(T* x) {{
+    float out[{N}];
+    {code}
+    #pragma unroll
+    for (int i = 0; i < {N}; i++) {{ x[i] = out[i]; }}
+}}
+
+"""
+
+STRIDED_CPU_TEMPLATE = """
+template <typename T>
+void hadamard_mult_{N}_strided(T* input, int stride) {{
+    T x[{N}];
+    T out[{N}];
+    {strided_load_code}
+    {code}
+    #pragma unroll
+    for (int ii = 0; ii < {N}; ++ii) {{ input[stride * ii] = out[ii]; }}
+}}
+
+"""
+
+
+def string_to_array(string):
+    # Convert strings of + and - to bool arrays
+    string = string.strip().replace("+", "1").replace("-", "-1").split()
+    return np.stack(
+        [
+            np.fromstring(" ".join(string[i]), dtype=np.int32, sep=" ")
+            for i in range(len(string))
+        ]
+    )
+
+
+def strided_load_code_gen(N):
+    return "\n    ".join([f"x[{i}] = input[{i} * stride];" for i in range(N)])
+
+
+def array_code_gen(arr, template):
+    N = arr.shape[0]
+    assert arr.shape[0] == arr.shape[1]
+    out = []
+    for i in range(N):
+        out.append(
+            f"out[{i}] = "
+            + " ".join([f"{'+' if arr[i, j] == 1 else '-'} x[{j}]" for j in range(N)])
+            + ";"
+        )
+    return template.format(
+        N=str(N), code="\n    ".join(out), strided_load_code=strided_load_code_gen(N)
+    )
+
+
+OPTION_TO_TEMPLATE = {
+    "cuda": TEMPLATE,
+    "cpu": CPU_TEMPLATE,
+    "strided_cpu": STRIDED_CPU_TEMPLATE,
+}
+
+
+def main(option="cuda"):
+    try:
+        template = OPTION_TO_TEMPLATE[option]
+    except KeyError:
+        raise Exception(
+            f"bad target option {option}; options are {', '.join(OPTION_TO_TEMPLATE.keys())}"
+        )
+    output_dir = Path(__file__).parent / "fast_hadamard_transform_special.h"
+    generated_line = f"// @{'generated'} by special_hadamard_code_gen.py {option}\n"
+
+    output_dir.write_text(
+        generated_line
+        + header
+        + "".join(array_code_gen(string_to_array(s), template) for s in had_strings)
+    )
+
+
+if __name__ == "__main__":
+    import sys
+
+    option = "cuda"
+    if len(sys.argv) > 1:
+        option = sys.argv[1]
+    main(option)
diff --git a/extension/llm/custom_ops/spinquant/targets.bzl b/extension/llm/custom_ops/spinquant/targets.bzl
new file mode 100644
index 0000000000..e87af3b80d
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/targets.bzl
@@ -0,0 +1,22 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+    runtime.cxx_library(
+        name = "fast_hadamard_transform",
+        exported_headers = [
+            "fast_hadamard_transform.h",
+            "fast_hadamard_transform_special.h",
+        ],
+        srcs = [
+            "fast_hadamard_transform.cpp",
+        ],
+        exported_deps = [
+            "//executorch/extension/llm/custom_ops/spinquant/third-party/FFHT:fht",
+        ],
+        visibility = ["@EXECUTORCH_CLIENTS"],
+    )
diff --git a/extension/llm/custom_ops/spinquant/test/TARGETS b/extension/llm/custom_ops/spinquant/test/TARGETS
new file mode 100644
index 0000000000..0a42614a38
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/test/TARGETS
@@ -0,0 +1,5 @@
+load(":targets.bzl", "define_common_targets")
+
+oncall("executorch")
+
+define_common_targets()
diff --git a/extension/llm/custom_ops/spinquant/test/fast_hadamard_transform_special_unstrided_cpu.h b/extension/llm/custom_ops/spinquant/test/fast_hadamard_transform_special_unstrided_cpu.h
new file mode 100644
index 0000000000..c0b2780959
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/test/fast_hadamard_transform_special_unstrided_cpu.h
@@ -0,0 +1,137 @@
+// @generated by special_hadamard_code_gen.py cpu
+
+
+#pragma once
+
+
+template <typename T>
+void hadamard_mult_12(T* x) {
+    float out[12];
+    out[0] = + x[0] - x[1] - x[2] - x[3] - x[4] - x[5] - x[6] - x[7] - x[8] - x[9] - x[10] - x[11];
+    out[1] = + x[0] + x[1] - x[2] + x[3] - x[4] - x[5] - x[6] + x[7] + x[8] + x[9] - x[10] + x[11];
+    out[2] = + x[0] + x[1] + x[2] - x[3] + x[4] - x[5] - x[6] - x[7] + x[8] + x[9] + x[10] - x[11];
+    out[3] = + x[0] - x[1] + x[2] + x[3] - x[4] + x[5] - x[6] - x[7] - x[8] + x[9] + x[10] + x[11];
+    out[4] = + x[0] + x[1] - x[2] + x[3] + x[4] - x[5] + x[6] - x[7] - x[8] - x[9] + x[10] + x[11];
+    out[5] = + x[0] + x[1] + x[2] - x[3] + x[4] + x[5] - x[6] + x[7] - x[8] - x[9] - x[10] + x[11];
+    out[6] = + x[0] + x[1] + x[2] + x[3] - x[4] + x[5] + x[6] - x[7] + x[8] - x[9] - x[10] - x[11];
+    out[7] = + x[0] - x[1] + x[2] + x[3] + x[4] - x[5] + x[6] + x[7] - x[8] + x[9] - x[10] - x[11];
+    out[8] = + x[0] - x[1] - x[2] + x[3] + x[4] + x[5] - x[6] + x[7] + x[8] - x[9] + x[10] - x[11];
+    out[9] = + x[0] - x[1] - x[2] - x[3] + x[4] + x[5] + x[6] - x[7] + x[8] + x[9] - x[10] + x[11];
+    out[10] = + x[0] + x[1] - x[2] - x[3] - x[4] + x[5] + x[6] + x[7] - x[8] + x[9] + x[10] - x[11];
+    out[11] = + x[0] - x[1] + x[2] - x[3] - x[4] - x[5] + x[6] + x[7] + x[8] - x[9] + x[10] + x[11];
+    #pragma unroll
+    for (int i = 0; i < 12; i++) { x[i] = out[i]; }
+}
+
+
+template <typename T>
+void hadamard_mult_20(T* x) {
+    float out[20];
+    out[0] = + x[0] - x[1] - x[2] - x[3] - x[4] + x[5] - x[6] - x[7] - x[8] - x[9] + x[10] + x[11] - x[12] - x[13] + x[14] + x[15] - x[16] + x[17] + x[18] - x[19];
+    out[1] = - x[0] + x[1] - x[2] - x[3] - x[4] - x[5] + x[6] - x[7] - x[8] - x[9] + x[10] + x[11] + x[12] - x[13] - x[14] - x[15] + x[16] - x[17] + x[18] + x[19];
+    out[2] = - x[0] - x[1] + x[2] - x[3] - x[4] - x[5] - x[6] + x[7] - x[8] - x[9] - x[10] + x[11] + x[12] + x[13] - x[14] + x[15] - x[16] + x[17] - x[18] + x[19];
+    out[3] = - x[0] - x[1] - x[2] + x[3] - x[4] - x[5] - x[6] - x[7] + x[8] - x[9] - x[10] - x[11] + x[12] + x[13] + x[14] + x[15] + x[16] - x[17] + x[18] - x[19];
+    out[4] = - x[0] - x[1] - x[2] - x[3] + x[4] - x[5] - x[6] - x[7] - x[8] + x[9] + x[10] - x[11] - x[12] + x[13] + x[14] - x[15] + x[16] + x[17] - x[18] + x[19];
+    out[5] = - x[0] + x[1] + x[2] + x[3] + x[4] + x[5] - x[6] - x[7] - x[8] - x[9] - x[10] + x[11] - x[12] - x[13] + x[14] + x[15] + x[16] - x[17] - x[18] + x[19];
+    out[6] = + x[0] - x[1] + x[2] + x[3] + x[4] - x[5] + x[6] - x[7] - x[8] - x[9] + x[10] - x[11] + x[12] - x[13] - x[14] + x[15] + x[16] + x[17] - x[18] - x[19];
+    out[7] = + x[0] + x[1] - x[2] + x[3] + x[4] - x[5] - x[6] + x[7] - x[8] - x[9] - x[10] + x[11] - x[12] + x[13] - x[14] - x[15] + x[16] + x[17] + x[18] - x[19];
+    out[8] = + x[0] + x[1] + x[2] - x[3] + x[4] - x[5] - x[6] - x[7] + x[8] - x[9] - x[10] - x[11] + x[12] - x[13] + x[14] - x[15] - x[16] + x[17] + x[18] + x[19];
+    out[9] = + x[0] + x[1] + x[2] + x[3] - x[4] - x[5] - x[6] - x[7] - x[8] + x[9] + x[10] - x[11] - x[12] + x[13] - x[14] + x[15] - x[16] - x[17] + x[18] + x[19];
+    out[10] = - x[0] - x[1] + x[2] + x[3] - x[4] + x[5] - x[6] + x[7] + x[8] - x[9] + x[10] - x[11] - x[12] - x[13] - x[14] - x[15] + x[16] + x[17] + x[18] + x[19];
+    out[11] = - x[0] - x[1] - x[2] + x[3] + x[4] - x[5] + x[6] - x[7] + x[8] + x[9] - x[10] + x[11] - x[12] - x[13] - x[14] + x[15] - x[16] + x[17] + x[18] + x[19];
+    out[12] = + x[0] - x[1] - x[2] - x[3] + x[4] + x[5] - x[6] + x[7] - x[8] + x[9] - x[10] - x[11] + x[12] - x[13] - x[14] + x[15] + x[16] - x[17] + x[18] + x[19];
+    out[13] = + x[0] + x[1] - x[2] - x[3] - x[4] + x[5] + x[6] - x[7] + x[8] - x[9] - x[10] - x[11] - x[12] + x[13] - x[14] + x[15] + x[16] + x[17] - x[18] + x[19];
+    out[14] = - x[0] + x[1] + x[2] - x[3] - x[4] - x[5] + x[6] + x[7] - x[8] + x[9] - x[10] - x[11] - x[12] - x[13] + x[14] + x[15] + x[16] + x[17] + x[18] - x[19];
+    out[15] = - x[0] + x[1] - x[2] - x[3] + x[4] - x[5] - x[6] + x[7] + x[8] - x[9] + x[10] - x[11] - x[12] - x[13] - x[14] + x[15] - x[16] - x[17] - x[18] - x[19];
+    out[16] = + x[0] - x[1] + x[2] - x[3] - x[4] - x[5] - x[6] - x[7] + x[8] + x[9] - x[10] + x[11] - x[12] - x[13] - x[14] - x[15] + x[16] - x[17] - x[18] - x[19];
+    out[17] = - x[0] + x[1] - x[2] + x[3] - x[4] + x[5] - x[6] - x[7] - x[8] + x[9] - x[10] - x[11] + x[12] - x[13] - x[14] - x[15] - x[16] + x[17] - x[18] - x[19];
+    out[18] = - x[0] - x[1] + x[2] - x[3] + x[4] + x[5] + x[6] - x[7] - x[8] - x[9] - x[10] - x[11] - x[12] + x[13] - x[14] - x[15] - x[16] - x[17] + x[18] - x[19];
+    out[19] = + x[0] - x[1] - x[2] + x[3] - x[4] - x[5] + x[6] + x[7] - x[8] - x[9] - x[10] - x[11] - x[12] - x[13] + x[14] - x[15] - x[16] - x[17] - x[18] + x[19];
+    #pragma unroll
+    for (int i = 0; i < 20; i++) { x[i] = out[i]; }
+}
+
+
+template <typename T>
+void hadamard_mult_28(T* x) {
+    float out[28];
+    out[0] = + x[0] - x[1] - x[2] - x[3] - x[4] - x[5] - x[6] + x[7] + x[8] - x[9] - x[10] - x[11] - x[12] + x[13] + x[14] - x[15] + x[16] - x[17] - x[18] + x[19] - x[20] + x[21] - x[22] - x[23] + x[24] + x[25] - x[26] - x[27];
+    out[1] = - x[0] + x[1] - x[2] - x[3] - x[4] - x[5] - x[6] + x[7] + x[8] + x[9] - x[10] - x[11] - x[12] - x[13] - x[14] + x[15] - x[16] + x[17] - x[18] - x[19] + x[20] - x[21] + x[22] - x[23] - x[24] + x[25] + x[26] - x[27];
+    out[2] = - x[0] - x[1] + x[2] - x[3] - x[4] - x[5] - x[6] - x[7] + x[8] + x[9] + x[10] - x[11] - x[12] - x[13] + x[14] - x[15] + x[16] - x[17] + x[18] - x[19] - x[20] - x[21] - x[22] + x[23] - x[24] - x[25] + x[26] + x[27];
+    out[3] = - x[0] - x[1] - x[2] + x[3] - x[4] - x[5] - x[6] - x[7] - x[8] + x[9] + x[10] + x[11] - x[12] - x[13] - x[14] + x[15] - x[16] + x[17] - x[18] + x[19] - x[20] + x[21] - x[22] - x[23] + x[24] - x[25] - x[26] + x[27];
+    out[4] = - x[0] - x[1] - x[2] - x[3] + x[4] - x[5] - x[6] - x[7] - x[8] - x[9] + x[10] + x[11] + x[12] - x[13] - x[14] - x[15] + x[16] - x[17] + x[18] - x[19] + x[20] + x[21] + x[22] - x[23] - x[24] + x[25] - x[26] - x[27];
+    out[5] = - x[0] - x[1] - x[2] - x[3] - x[4] + x[5] - x[6] - x[7] - x[8] - x[9] - x[10] + x[11] + x[12] + x[13] + x[14] - x[15] - x[16] + x[17] - x[18] + x[19] - x[20] - x[21] + x[22] + x[23] - x[24] - x[25] + x[26] - x[27];
+    out[6] = - x[0] - x[1] - x[2] - x[3] - x[4] - x[5] + x[6] + x[7] - x[8] - x[9] - x[10] - x[11] + x[12] + x[13] - x[14] + x[15] - x[16] - x[17] + x[18] - x[19] + x[20] - x[21] - x[22] + x[23] + x[24] - x[25] - x[26] + x[27];
+    out[7] = - x[0] - x[1] + x[2] + x[3] + x[4] + x[5] - x[6] + x[7] - x[8] - x[9] - x[10] - x[11] - x[12] - x[13] - x[14] + x[15] + x[16] - x[17] - x[18] + x[19] + x[20] + x[21] - x[22] + x[23] - x[24] - x[25] + x[26] - x[27];
+    out[8] = - x[0] - x[1] - x[2] + x[3] + x[4] + x[5] + x[6] - x[7] + x[8] - x[9] - x[10] - x[11] - x[12] - x[13] + x[14] - x[15] + x[16] + x[17] - x[18] - x[19] + x[20] - x[21] + x[22] - x[23] + x[24] - x[25] - x[26] + x[27];
+    out[9] = + x[0] - x[1] - x[2] - x[3] + x[4] + x[5] + x[6] - x[7] - x[8] + x[9] - x[10] - x[11] - x[12] - x[13] + x[14] + x[15] - x[16] + x[17] + x[18] - x[19] - x[20] + x[21] - x[22] + x[23] - x[24] + x[25] - x[26] - x[27];
+    out[10] = + x[0] + x[1] - x[2] - x[3] - x[4] + x[5] + x[6] - x[7] - x[8] - x[9] + x[10] - x[11] - x[12] - x[13] - x[14] + x[15] + x[16] - x[17] + x[18] + x[19] - x[20] - x[21] + x[22] - x[23] + x[24] - x[25] + x[26] - x[27];
+    out[11] = + x[0] + x[1] + x[2] - x[3] - x[4] - x[5] + x[6] - x[7] - x[8] - x[9] - x[10] + x[11] - x[12] - x[13] - x[14] - x[15] + x[16] + x[17] - x[18] + x[19] + x[20] - x[21] - x[22] + x[23] - x[24] + x[25] - x[26] + x[27];
+    out[12] = + x[0] + x[1] + x[2] + x[3] - x[4] - x[5] - x[6] - x[7] - x[8] - x[9] - x[10] - x[11] + x[12] - x[13] + x[14] - x[15] - x[16] + x[17] + x[18] - x[19] + x[20] + x[21] - x[22] - x[23] + x[24] - x[25] + x[26] - x[27];
+    out[13] = - x[0] + x[1] + x[2] + x[3] + x[4] - x[5] - x[6] - x[7] - x[8] - x[9] - x[10] - x[11] - x[12] + x[13] + x[14] + x[15] - x[16] - x[17] + x[18] + x[19] - x[20] - x[21] + x[22] - x[23] - x[24] + x[25] - x[26] + x[27];
+    out[14] = - x[0] + x[1] - x[2] + x[3] + x[4] - x[5] + x[6] + x[7] - x[8] - x[9] + x[10] + x[11] - x[12] - x[13] + x[14] - x[15] - x[16] - x[17] - x[18] - x[19] - x[20] - x[21] - x[22] + x[23] + x[24] + x[25] + x[26] - x[27];
+    out[15] = + x[0] - x[1] + x[2] - x[3] + x[4] + x[5] - x[6] - x[7] + x[8] - x[9] - x[10] + x[11] + x[12] - x[13] - x[14] + x[15] - x[16] - x[17] - x[18] - x[19] - x[20] - x[21] - x[22] - x[23] + x[24] + x[25] + x[26] + x[27];
+    out[16] = - x[0] + x[1] - x[2] + x[3] - x[4] + x[5] + x[6] - x[7] - x[8] + x[9] - x[10] - x[11] + x[12] + x[13] - x[14] - x[15] + x[16] - x[17] - x[18] - x[19] - x[20] + x[21] - x[22] - x[23] - x[24] + x[25] + x[26] + x[27];
+    out[17] = + x[0] - x[1] + x[2] - x[3] + x[4] - x[5] + x[6] + x[7] - x[8] - x[9] + x[10] - x[11] - x[12] + x[13] - x[14] - x[15] - x[16] + x[17] - x[18] - x[19] - x[20] + x[21] + x[22] - x[23] - x[24] - x[25] + x[26] + x[27];
+    out[18] = + x[0] + x[1] - x[2] + x[3] - x[4] + x[5] - x[6] + x[7] + x[8] - x[9] - x[10] + x[11] - x[12] - x[13] - x[14] - x[15] - x[16] - x[17] + x[18] - x[19] - x[20] + x[21] + x[22] + x[23] - x[24] - x[25] - x[26] + x[27];
+    out[19] = - x[0] + x[1] + x[2] - x[3] + x[4] - x[5] + x[6] - x[7] + x[8] + x[9] - x[10] - x[11] + x[12] - x[13] - x[14] - x[15] - x[16] - x[17] - x[18] + x[19] - x[20] + x[21] + x[22] + x[23] + x[24] - x[25] - x[26] - x[27];
+    out[20] = + x[0] - x[1] + x[2] + x[3] - x[4] + x[5] - x[6] - x[7] - x[8] + x[9] + x[10] - x[11] - x[12] + x[13] - x[14] - x[15] - x[16] - x[17] - x[18] - x[19] + x[20] - x[21] + x[22] + x[23] + x[24] + x[25] - x[26] - x[27];
+    out[21] = - x[0] + x[1] + x[2] - x[3] - x[4] + x[5] + x[6] - x[7] + x[8] - x[9] + x[10] + x[11] - x[12] + x[13] + x[14] + x[15] - x[16] - x[17] - x[18] - x[19] + x[20] + x[21] - x[22] - x[23] - x[24] - x[25] - x[26] - x[27];
+    out[22] = + x[0] - x[1] + x[2] + x[3] - x[4] - x[5] + x[6] + x[7] - x[8] + x[9] - x[10] + x[11] + x[12] - x[13] + x[14] + x[15] + x[16] - x[17] - x[18] - x[19] - x[20] - x[21] + x[22] - x[23] - x[24] - x[25] - x[26] - x[27];
+    out[23] = + x[0] + x[1] - x[2] + x[3] + x[4] - x[5] - x[6] - x[7] + x[8] - x[9] + x[10] - x[11] + x[12] + x[13] - x[14] + x[15] + x[16] + x[17] - x[18] - x[19] - x[20] - x[21] - x[22] + x[23] - x[24] - x[25] - x[26] - x[27];
+    out[24] = - x[0] + x[1] + x[2] - x[3] + x[4] + x[5] - x[6] + x[7] - x[8] + x[9] - x[10] + x[11] - x[12] + x[13] - x[14] - x[15] + x[16] + x[17] + x[18] - x[19] - x[20] - x[21] - x[22] - x[23] + x[24] - x[25] - x[26] - x[27];
+    out[25] = - x[0] - x[1] + x[2] + x[3] - x[4] + x[5] + x[6] + x[7] + x[8] - x[9] + x[10] - x[11] + x[12] - x[13] - x[14] - x[15] - x[16] + x[17] + x[18] + x[19] - x[20] - x[21] - x[22] - x[23] - x[24] + x[25] - x[26] - x[27];
+    out[26] = + x[0] - x[1] - x[2] + x[3] + x[4] - x[5] + x[6] - x[7] + x[8] + x[9] - x[10] + x[11] - x[12] + x[13] - x[14] - x[15] - x[16] - x[17] + x[18] + x[19] + x[20] - x[21] - x[22] - x[23] - x[24] - x[25] + x[26] - x[27];
+    out[27] = + x[0] + x[1] - x[2] - x[3] + x[4] + x[5] - x[6] + x[7] - x[8] + x[9] + x[10] - x[11] + x[12] - x[13] + x[14] - x[15] - x[16] - x[17] - x[18] + x[19] + x[20] - x[21] - x[22] - x[23] - x[24] - x[25] - x[26] + x[27];
+    #pragma unroll
+    for (int i = 0; i < 28; i++) { x[i] = out[i]; }
+}
+
+
+template <typename T>
+void hadamard_mult_40(T* x) {
+    float out[40];
+    out[0] = + x[0] - x[1] - x[2] - x[3] - x[4] - x[5] - x[6] - x[7] - x[8] - x[9] - x[10] - x[11] - x[12] - x[13] - x[14] - x[15] - x[16] - x[17] - x[18] - x[19] + x[20] - x[21] - x[22] - x[23] - x[24] - x[25] - x[26] - x[27] - x[28] - x[29] - x[30] - x[31] - x[32] - x[33] - x[34] - x[35] - x[36] - x[37] - x[38] - x[39];
+    out[1] = + x[0] + x[1] - x[2] + x[3] + x[4] - x[5] - x[6] - x[7] - x[8] + x[9] - x[10] + x[11] - x[12] + x[13] + x[14] + x[15] + x[16] - x[17] - x[18] + x[19] + x[20] + x[21] - x[22] + x[23] + x[24] - x[25] - x[26] - x[27] - x[28] + x[29] - x[30] + x[31] - x[32] + x[33] + x[34] + x[35] + x[36] - x[37] - x[38] + x[39];
+    out[2] = + x[0] + x[1] + x[2] - x[3] + x[4] + x[5] - x[6] - x[7] - x[8] - x[9] + x[10] - x[11] + x[12] - x[13] + x[14] + x[15] + x[16] + x[17] - x[18] - x[19] + x[20] + x[21] + x[22] - x[23] + x[24] + x[25] - x[26] - x[27] - x[28] - x[29] + x[30] - x[31] + x[32] - x[33] + x[34] + x[35] + x[36] + x[37] - x[38] - x[39];
+    out[3] = + x[0] - x[1] + x[2] + x[3] - x[4] + x[5] + x[6] - x[7] - x[8] - x[9] - x[10] + x[11] - x[12] + x[13] - x[14] + x[15] + x[16] + x[17] + x[18] - x[19] + x[20] - x[21] + x[22] + x[23] - x[24] + x[25] + x[26] - x[27] - x[28] - x[29] - x[30] + x[31] - x[32] + x[33] - x[34] + x[35] + x[36] + x[37] + x[38] - x[39];
+    out[4] = + x[0] - x[1] - x[2] + x[3] + x[4] - x[5] + x[6] + x[7] - x[8] - x[9] - x[10] - x[11] + x[12] - x[13] + x[14] - x[15] + x[16] + x[17] + x[18] + x[19] + x[20] - x[21] - x[22] + x[23] + x[24] - x[25] + x[26] + x[27] - x[28] - x[29] - x[30] - x[31] + x[32] - x[33] + x[34] - x[35] + x[36] + x[37] + x[38] + x[39];
+    out[5] = + x[0] + x[1] - x[2] - x[3] + x[4] + x[5] - x[6] + x[7] + x[8] - x[9] - x[10] - x[11] - x[12] + x[13] - x[14] + x[15] - x[16] + x[17] + x[18] + x[19] + x[20] + x[21] - x[22] - x[23] + x[24] + x[25] - x[26] + x[27] + x[28] - x[29] - x[30] - x[31] - x[32] + x[33] - x[34] + x[35] - x[36] + x[37] + x[38] + x[39];
+    out[6] = + x[0] + x[1] + x[2] - x[3] - x[4] + x[5] + x[6] - x[7] + x[8] + x[9] - x[10] - x[11] - x[12] - x[13] + x[14] - x[15] + x[16] - x[17] + x[18] + x[19] + x[20] + x[21] + x[22] - x[23] - x[24] + x[25] + x[26] - x[27] + x[28] + x[29] - x[30] - x[31] - x[32] - x[33] + x[34] - x[35] + x[36] - x[37] + x[38] + x[39];
+    out[7] = + x[0] + x[1] + x[2] + x[3] - x[4] - x[5] + x[6] + x[7] - x[8] + x[9] + x[10] - x[11] - x[12] - x[13] - x[14] + x[15] - x[16] + x[17] - x[18] + x[19] + x[20] + x[21] + x[22] + x[23] - x[24] - x[25] + x[26] + x[27] - x[28] + x[29] + x[30] - x[31] - x[32] - x[33] - x[34] + x[35] - x[36] + x[37] - x[38] + x[39];
+    out[8] = + x[0] + x[1] + x[2] + x[3] + x[4] - x[5] - x[6] + x[7] + x[8] - x[9] + x[10] + x[11] - x[12] - x[13] - x[14] - x[15] + x[16] - x[17] + x[18] - x[19] + x[20] + x[21] + x[22] + x[23] + x[24] - x[25] - x[26] + x[27] + x[28] - x[29] + x[30] + x[31] - x[32] - x[33] - x[34] - x[35] + x[36] - x[37] + x[38] - x[39];
+    out[9] = + x[0] - x[1] + x[2] + x[3] + x[4] + x[5] - x[6] - x[7] + x[8] + x[9] - x[10] + x[11] + x[12] - x[13] - x[14] - x[15] - x[16] + x[17] - x[18] + x[19] + x[20] - x[21] + x[22] + x[23] + x[24] + x[25] - x[26] - x[27] + x[28] + x[29] - x[30] + x[31] + x[32] - x[33] - x[34] - x[35] - x[36] + x[37] - x[38] + x[39];
+    out[10] = + x[0] + x[1] - x[2] + x[3] + x[4] + x[5] + x[6] - x[7] - x[8] + x[9] + x[10] - x[11] + x[12] + x[13] - x[14] - x[15] - x[16] - x[17] + x[18] - x[19] + x[20] + x[21] - x[22] + x[23] + x[24] + x[25] + x[26] - x[27] - x[28] + x[29] + x[30] - x[31] + x[32] + x[33] - x[34] - x[35] - x[36] - x[37] + x[38] - x[39];
+    out[11] = + x[0] - x[1] + x[2] - x[3] + x[4] + x[5] + x[6] + x[7] - x[8] - x[9] + x[10] + x[11] - x[12] + x[13] + x[14] - x[15] - x[16] - x[17] - x[18] + x[19] + x[20] - x[21] + x[22] - x[23] + x[24] + x[25] + x[26] + x[27] - x[28] - x[29] + x[30] + x[31] - x[32] + x[33] + x[34] - x[35] - x[36] - x[37] - x[38] + x[39];
+    out[12] = + x[0] + x[1] - x[2] + x[3] - x[4] + x[5] + x[6] + x[7] + x[8] - x[9] - x[10] + x[11] + x[12] - x[13] + x[14] + x[15] - x[16] - x[17] - x[18] - x[19] + x[20] + x[21] - x[22] + x[23] - x[24] + x[25] + x[26] + x[27] + x[28] - x[29] - x[30] + x[31] + x[32] - x[33] + x[34] + x[35] - x[36] - x[37] - x[38] - x[39];
+    out[13] = + x[0] - x[1] + x[2] - x[3] + x[4] - x[5] + x[6] + x[7] + x[8] + x[9] - x[10] - x[11] + x[12] + x[13] - x[14] + x[15] + x[16] - x[17] - x[18] - x[19] + x[20] - x[21] + x[22] - x[23] + x[24] - x[25] + x[26] + x[27] + x[28] + x[29] - x[30] - x[31] + x[32] + x[33] - x[34] + x[35] + x[36] - x[37] - x[38] - x[39];
+    out[14] = + x[0] - x[1] - x[2] + x[3] - x[4] + x[5] - x[6] + x[7] + x[8] + x[9] + x[10] - x[11] - x[12] + x[13] + x[14] - x[15] + x[16] + x[17] - x[18] - x[19] + x[20] - x[21] - x[22] + x[23] - x[24] + x[25] - x[26] + x[27] + x[28] + x[29] + x[30] - x[31] - x[32] + x[33] + x[34] - x[35] + x[36] + x[37] - x[38] - x[39];
+    out[15] = + x[0] - x[1] - x[2] - x[3] + x[4] - x[5] + x[6] - x[7] + x[8] + x[9] + x[10] + x[11] - x[12] - x[13] + x[14] + x[15] - x[16] + x[17] + x[18] - x[19] + x[20] - x[21] - x[22] - x[23] + x[24] - x[25] + x[26] - x[27] + x[28] + x[29] + x[30] + x[31] - x[32] - x[33] + x[34] + x[35] - x[36] + x[37] + x[38] - x[39];
+    out[16] = + x[0] - x[1] - x[2] - x[3] - x[4] + x[5] - x[6] + x[7] - x[8] + x[9] + x[10] + x[11] + x[12] - x[13] - x[14] + x[15] + x[16] - x[17] + x[18] + x[19] + x[20] - x[21] - x[22] - x[23] - x[24] + x[25] - x[26] + x[27] - x[28] + x[29] + x[30] + x[31] + x[32] - x[33] - x[34] + x[35] + x[36] - x[37] + x[38] + x[39];
+    out[17] = + x[0] + x[1] - x[2] - x[3] - x[4] - x[5] + x[6] - x[7] + x[8] - x[9] + x[10] + x[11] + x[12] + x[13] - x[14] - x[15] + x[16] + x[17] - x[18] + x[19] + x[20] + x[21] - x[22] - x[23] - x[24] - x[25] + x[26] - x[27] + x[28] - x[29] + x[30] + x[31] + x[32] + x[33] - x[34] - x[35] + x[36] + x[37] - x[38] + x[39];
+    out[18] = + x[0] + x[1] + x[2] - x[3] - x[4] - x[5] - x[6] + x[7] - x[8] + x[9] - x[10] + x[11] + x[12] + x[13] + x[14] - x[15] - x[16] + x[17] + x[18] - x[19] + x[20] + x[21] + x[22] - x[23] - x[24] - x[25] - x[26] + x[27] - x[28] + x[29] - x[30] + x[31] + x[32] + x[33] + x[34] - x[35] - x[36] + x[37] + x[38] - x[39];
+    out[19] = + x[0] - x[1] + x[2] + x[3] - x[4] - x[5] - x[6] - x[7] + x[8] - x[9] + x[10] - x[11] + x[12] + x[13] + x[14] + x[15] - x[16] - x[17] + x[18] + x[19] + x[20] - x[21] + x[22] + x[23] - x[24] - x[25] - x[26] - x[27] + x[28] - x[29] + x[30] - x[31] + x[32] + x[33] + x[34] + x[35] - x[36] - x[37] + x[38] + x[39];
+    out[20] = + x[0] - x[1] - x[2] - x[3] - x[4] - x[5] - x[6] - x[7] - x[8] - x[9] - x[10] - x[11] - x[12] - x[13] - x[14] - x[15] - x[16] - x[17] - x[18] - x[19] - x[20] + x[21] + x[22] + x[23] + x[24] + x[25] + x[26] + x[27] + x[28] + x[29] + x[30] + x[31] + x[32] + x[33] + x[34] + x[35] + x[36] + x[37] + x[38] + x[39];
+    out[21] = + x[0] + x[1] - x[2] + x[3] + x[4] - x[5] - x[6] - x[7] - x[8] + x[9] - x[10] + x[11] - x[12] + x[13] + x[14] + x[15] + x[16] - x[17] - x[18] + x[19] - x[20] - x[21] + x[22] - x[23] - x[24] + x[25] + x[26] + x[27] + x[28] - x[29] + x[30] - x[31] + x[32] - x[33] - x[34] - x[35] - x[36] + x[37] + x[38] - x[39];
+    out[22] = + x[0] + x[1] + x[2] - x[3] + x[4] + x[5] - x[6] - x[7] - x[8] - x[9] + x[10] - x[11] + x[12] - x[13] + x[14] + x[15] + x[16] + x[17] - x[18] - x[19] - x[20] - x[21] - x[22] + x[23] - x[24] - x[25] + x[26] + x[27] + x[28] + x[29] - x[30] + x[31] - x[32] + x[33] - x[34] - x[35] - x[36] - x[37] + x[38] + x[39];
+    out[23] = + x[0] - x[1] + x[2] + x[3] - x[4] + x[5] + x[6] - x[7] - x[8] - x[9] - x[10] + x[11] - x[12] + x[13] - x[14] + x[15] + x[16] + x[17] + x[18] - x[19] - x[20] + x[21] - x[22] - x[23] + x[24] - x[25] - x[26] + x[27] + x[28] + x[29] + x[30] - x[31] + x[32] - x[33] + x[34] - x[35] - x[36] - x[37] - x[38] + x[39];
+    out[24] = + x[0] - x[1] - x[2] + x[3] + x[4] - x[5] + x[6] + x[7] - x[8] - x[9] - x[10] - x[11] + x[12] - x[13] + x[14] - x[15] + x[16] + x[17] + x[18] + x[19] - x[20] + x[21] + x[22] - x[23] - x[24] + x[25] - x[26] - x[27] + x[28] + x[29] + x[30] + x[31] - x[32] + x[33] - x[34] + x[35] - x[36] - x[37] - x[38] - x[39];
+    out[25] = + x[0] + x[1] - x[2] - x[3] + x[4] + x[5] - x[6] + x[7] + x[8] - x[9] - x[10] - x[11] - x[12] + x[13] - x[14] + x[15] - x[16] + x[17] + x[18] + x[19] - x[20] - x[21] + x[22] + x[23] - x[24] - x[25] + x[26] - x[27] - x[28] + x[29] + x[30] + x[31] + x[32] - x[33] + x[34] - x[35] + x[36] - x[37] - x[38] - x[39];
+    out[26] = + x[0] + x[1] + x[2] - x[3] - x[4] + x[5] + x[6] - x[7] + x[8] + x[9] - x[10] - x[11] - x[12] - x[13] + x[14] - x[15] + x[16] - x[17] + x[18] + x[19] - x[20] - x[21] - x[22] + x[23] + x[24] - x[25] - x[26] + x[27] - x[28] - x[29] + x[30] + x[31] + x[32] + x[33] - x[34] + x[35] - x[36] + x[37] - x[38] - x[39];
+    out[27] = + x[0] + x[1] + x[2] + x[3] - x[4] - x[5] + x[6] + x[7] - x[8] + x[9] + x[10] - x[11] - x[12] - x[13] - x[14] + x[15] - x[16] + x[17] - x[18] + x[19] - x[20] - x[21] - x[22] - x[23] + x[24] + x[25] - x[26] - x[27] + x[28] - x[29] - x[30] + x[31] + x[32] + x[33] + x[34] - x[35] + x[36] - x[37] + x[38] - x[39];
+    out[28] = + x[0] + x[1] + x[2] + x[3] + x[4] - x[5] - x[6] + x[7] + x[8] - x[9] + x[10] + x[11] - x[12] - x[13] - x[14] - x[15] + x[16] - x[17] + x[18] - x[19] - x[20] - x[21] - x[22] - x[23] - x[24] + x[25] + x[26] - x[27] - x[28] + x[29] - x[30] - x[31] + x[32] + x[33] + x[34] + x[35] - x[36] + x[37] - x[38] + x[39];
+    out[29] = + x[0] - x[1] + x[2] + x[3] + x[4] + x[5] - x[6] - x[7] + x[8] + x[9] - x[10] + x[11] + x[12] - x[13] - x[14] - x[15] - x[16] + x[17] - x[18] + x[19] - x[20] + x[21] - x[22] - x[23] - x[24] - x[25] + x[26] + x[27] - x[28] - x[29] + x[30] - x[31] - x[32] + x[33] + x[34] + x[35] + x[36] - x[37] + x[38] - x[39];
+    out[30] = + x[0] + x[1] - x[2] + x[3] + x[4] + x[5] + x[6] - x[7] - x[8] + x[9] + x[10] - x[11] + x[12] + x[13] - x[14] - x[15] - x[16] - x[17] + x[18] - x[19] - x[20] - x[21] + x[22] - x[23] - x[24] - x[25] - x[26] + x[27] + x[28] - x[29] - x[30] + x[31] - x[32] - x[33] + x[34] + x[35] + x[36] + x[37] - x[38] + x[39];
+    out[31] = + x[0] - x[1] + x[2] - x[3] + x[4] + x[5] + x[6] + x[7] - x[8] - x[9] + x[10] + x[11] - x[12] + x[13] + x[14] - x[15] - x[16] - x[17] - x[18] + x[19] - x[20] + x[21] - x[22] + x[23] - x[24] - x[25] - x[26] - x[27] + x[28] + x[29] - x[30] - x[31] + x[32] - x[33] - x[34] + x[35] + x[36] + x[37] + x[38] - x[39];
+    out[32] = + x[0] + x[1] - x[2] + x[3] - x[4] + x[5] + x[6] + x[7] + x[8] - x[9] - x[10] + x[11] + x[12] - x[13] + x[14] + x[15] - x[16] - x[17] - x[18] - x[19] - x[20] - x[21] + x[22] - x[23] + x[24] - x[25] - x[26] - x[27] - x[28] + x[29] + x[30] - x[31] - x[32] + x[33] - x[34] - x[35] + x[36] + x[37] + x[38] + x[39];
+    out[33] = + x[0] - x[1] + x[2] - x[3] + x[4] - x[5] + x[6] + x[7] + x[8] + x[9] - x[10] - x[11] + x[12] + x[13] - x[14] + x[15] + x[16] - x[17] - x[18] - x[19] - x[20] + x[21] - x[22] + x[23] - x[24] + x[25] - x[26] - x[27] - x[28] - x[29] + x[30] + x[31] - x[32] - x[33] + x[34] - x[35] - x[36] + x[37] + x[38] + x[39];
+    out[34] = + x[0] - x[1] - x[2] + x[3] - x[4] + x[5] - x[6] + x[7] + x[8] + x[9] + x[10] - x[11] - x[12] + x[13] + x[14] - x[15] + x[16] + x[17] - x[18] - x[19] - x[20] + x[21] + x[22] - x[23] + x[24] - x[25] + x[26] - x[27] - x[28] - x[29] - x[30] + x[31] + x[32] - x[33] - x[34] + x[35] - x[36] - x[37] + x[38] + x[39];
+    out[35] = + x[0] - x[1] - x[2] - x[3] + x[4] - x[5] + x[6] - x[7] + x[8] + x[9] + x[10] + x[11] - x[12] - x[13] + x[14] + x[15] - x[16] + x[17] + x[18] - x[19] - x[20] + x[21] + x[22] + x[23] - x[24] + x[25] - x[26] + x[27] - x[28] - x[29] - x[30] - x[31] + x[32] + x[33] - x[34] - x[35] + x[36] - x[37] - x[38] + x[39];
+    out[36] = + x[0] - x[1] - x[2] - x[3] - x[4] + x[5] - x[6] + x[7] - x[8] + x[9] + x[10] + x[11] + x[12] - x[13] - x[14] + x[15] + x[16] - x[17] + x[18] + x[19] - x[20] + x[21] + x[22] + x[23] + x[24] - x[25] + x[26] - x[27] + x[28] - x[29] - x[30] - x[31] - x[32] + x[33] + x[34] - x[35] - x[36] + x[37] - x[38] - x[39];
+    out[37] = + x[0] + x[1] - x[2] - x[3] - x[4] - x[5] + x[6] - x[7] + x[8] - x[9] + x[10] + x[11] + x[12] + x[13] - x[14] - x[15] + x[16] + x[17] - x[18] + x[19] - x[20] - x[21] + x[22] + x[23] + x[24] + x[25] - x[26] + x[27] - x[28] + x[29] - x[30] - x[31] - x[32] - x[33] + x[34] + x[35] - x[36] - x[37] + x[38] - x[39];
+    out[38] = + x[0] + x[1] + x[2] - x[3] - x[4] - x[5] - x[6] + x[7] - x[8] + x[9] - x[10] + x[11] + x[12] + x[13] + x[14] - x[15] - x[16] + x[17] + x[18] - x[19] - x[20] - x[21] - x[22] + x[23] + x[24] + x[25] + x[26] - x[27] + x[28] - x[29] + x[30] - x[31] - x[32] - x[33] - x[34] + x[35] + x[36] - x[37] - x[38] + x[39];
+    out[39] = + x[0] - x[1] + x[2] + x[3] - x[4] - x[5] - x[6] - x[7] + x[8] - x[9] + x[10] - x[11] + x[12] + x[13] + x[14] + x[15] - x[16] - x[17] + x[18] + x[19] - x[20] + x[21] - x[22] - x[23] + x[24] + x[25] + x[26] + x[27] - x[28] + x[29] - x[30] + x[31] - x[32] - x[33] - x[34] - x[35] + x[36] + x[37] - x[38] - x[39];
+    #pragma unroll
+    for (int i = 0; i < 40; i++) { x[i] = out[i]; }
+}
+
diff --git a/extension/llm/custom_ops/spinquant/test/fast_hadamard_transform_test.cpp b/extension/llm/custom_ops/spinquant/test/fast_hadamard_transform_test.cpp
new file mode 100644
index 0000000000..8587b600a3
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/test/fast_hadamard_transform_test.cpp
@@ -0,0 +1,156 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <algorithm>
+#include <array>
+#include <cmath>
+#include <type_traits>
+#include <utility>
+#include <vector>
+
+#include <gtest/gtest.h>
+
+#include <executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h>
+#include <executorch/extension/llm/custom_ops/spinquant/test/fast_hadamard_transform_test_impl.h>
+
+using executorch::runtime::testing::fast_hadamard_transform_28N_with_transpose;
+using executorch::runtime::testing::random_floats;
+using executorch::runtime::testing::reference_fht_impl;
+
+TEST(FastHadamardTransformTest, SingleElement) {
+  // FHT of a single element is a no-op.
+  std::array<float, 1> data = {{42}};
+  executorch::fast_hadamard_transform(data.data(), 0);
+  EXPECT_EQ(data[0], 42);
+}
+
+TEST(FastHadamardTransformTest, LargerInput) {
+  std::vector<float> data = random_floats(4096);
+
+  auto expected = data;
+  reference_fht_impl(expected.data(), expected.size());
+
+  auto actual = data;
+  executorch::fast_hadamard_transform(actual.data(), 12);
+
+  for (int ii = 0; ii < expected.size(); ++ii) {
+    EXPECT_FLOAT_EQ(actual[ii], expected[ii]);
+  }
+}
+
+TEST(FastHadamardTransform28NTest, Basic) {
+  std::vector<float> data = random_floats(1024 * 28);
+
+  auto expected = data;
+  fast_hadamard_transform_28N_with_transpose(expected.data(), 10);
+
+  auto actual = data;
+  executorch::fast_hadamard_transform_28N(actual.data(), 10);
+
+  for (int ii = 0; ii < actual.size(); ++ii) {
+    EXPECT_FLOAT_EQ(actual[ii], expected[ii]);
+  }
+}
+
+namespace {
+constexpr int32_t qmin = -(1 << 15) + 1;
+constexpr int32_t qmax = -qmin;
+
+int16_t quantize(float x, float scale) {
+  float scaled = x / scale;
+  // XXX: Supposed to round ties to even, but this is just test code.
+  int32_t scaled_int =
+      std::clamp((int32_t)std::lround<int32_t>(scaled), qmin, qmax);
+  return static_cast<int16_t>(scaled_int);
+}
+
+template <typename T>
+std::vector<T> quantize(const std::vector<float>& data, float scale) {
+  std::vector<T> result;
+  result.reserve(data.size());
+  for (const float unquant : data) {
+    result.push_back(quantize(unquant, scale));
+  }
+  return result;
+}
+
+template <typename T>
+std::pair<std::vector<T>, float> quantize(const std::vector<float>& data) {
+  auto [minIt, maxIt] = std::minmax_element(data.begin(), data.end());
+  float scale = (*maxIt - *minIt) / (qmax - qmin);
+  return {quantize<T>(data, scale), scale};
+}
+
+template <typename T>
+float dequantize(T x, float scale) {
+  return x * scale;
+}
+
+template <typename T>
+std::vector<float> dequantize(const std::vector<T>& data, float scale) {
+  static_assert(!std::is_same_v<T, float>);
+  std::vector<float> result;
+  result.reserve(data.size());
+  for (const T quant : data) {
+    result.push_back(dequantize(quant, scale));
+  }
+  return result;
+}
+
+#define EXPECT_CLOSE_IMPL(a, b, atol, rtol)             \
+  EXPECT_LE(std::abs(a - b), atol + rtol * std::abs(b)) \
+      << "a: " << a << ", b: " << b
+#define EXPECT_CLOSE(a, b) EXPECT_CLOSE_IMPL(a, b, 2e-4, 1e-4)
+
+void testQuantizedFastHadamardTransform(int logN) {
+  std::vector<float> data = random_floats(1 << logN);
+
+  auto [qdata, scale] = quantize<int16_t>(data);
+
+  auto expected_unquant = dequantize(qdata, scale);
+  reference_fht_impl(expected_unquant.data(), expected_unquant.size());
+  auto expected = quantize<int16_t>(expected_unquant, scale);
+
+  auto actual = qdata;
+  executorch::fast_hadamard_transform_symmetric_quantized_s16(
+      actual.data(), logN);
+
+  for (int ii = 0; ii < expected.size(); ++ii) {
+    EXPECT_CLOSE(
+        dequantize(actual[ii], scale), dequantize(expected[ii], scale));
+  }
+}
+
+} // namespace
+
+TEST(QuantizedFastHadamardTransformTest, Basic) {
+  testQuantizedFastHadamardTransform(12); // 4096
+}
+
+TEST(QuantizedFastHadamardTransformTest, OddLogN) {
+  testQuantizedFastHadamardTransform(11); // 2048
+}
+
+TEST(QuantizedFastHadamardTransform28NTest, Basic) {
+  std::vector<float> data = random_floats(1024 * 28);
+
+  auto [qdata, scale] = quantize<int16_t>(data);
+
+  auto expected_unquant = dequantize(qdata, scale);
+  fast_hadamard_transform_28N_with_transpose(expected_unquant.data(), 10);
+  auto expected = quantize<int16_t>(expected_unquant, scale);
+
+  auto actual = qdata;
+  executorch::fast_hadamard_transform_symmetric_quantized_s16_28N(
+      actual.data(), 10);
+
+  for (int ii = 0; ii < expected.size(); ++ii) {
+    EXPECT_CLOSE(
+        dequantize(actual[ii], scale), dequantize(expected[ii], scale));
+  }
+}
diff --git a/extension/llm/custom_ops/spinquant/test/fast_hadamard_transform_test_impl.cpp b/extension/llm/custom_ops/spinquant/test/fast_hadamard_transform_test_impl.cpp
new file mode 100644
index 0000000000..25199f481e
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/test/fast_hadamard_transform_test_impl.cpp
@@ -0,0 +1,37 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/extension/llm/custom_ops/spinquant/test/fast_hadamard_transform_test_impl.h>
+#include <executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/dumb_fht.h>
+
+#include <cmath>
+#include <random>
+#include <vector>
+
+namespace executorch::runtime::testing {
+
+void reference_fht_impl(float* buf, int n) {
+  dumb_fht(buf, std::log2<int>(n));
+  const auto root_n = std::sqrt(n);
+  for (int ii = 0; ii < n; ++ii) {
+    buf[ii] /= root_n;
+  }
+}
+
+std::vector<float> random_floats(int howMany) {
+  std::random_device rd;
+  std::mt19937 gen(rd());
+  std::normal_distribution<float> dist;
+  std::vector<float> data(howMany);
+  for (int ii = 0; ii < data.size(); ++ii) {
+    data[ii] = dist(gen);
+  }
+  return data;
+}
+
+} // namespace executorch::runtime::testing
diff --git a/extension/llm/custom_ops/spinquant/test/fast_hadamard_transform_test_impl.h b/extension/llm/custom_ops/spinquant/test/fast_hadamard_transform_test_impl.h
new file mode 100644
index 0000000000..aaf4a9e5c0
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/test/fast_hadamard_transform_test_impl.h
@@ -0,0 +1,47 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <memory>
+#include <vector>
+
+#include <executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h>
+#include <executorch/extension/llm/custom_ops/spinquant/test/fast_hadamard_transform_special_unstrided_cpu.h>
+
+namespace executorch::runtime::testing {
+void reference_fht_impl(float* buf, int n);
+
+// Alternate implementation of fast_hadamard_transform_28N to mutation
+// test against. Benchmarking suggests this one is slower, which is
+// why it's in the test.
+template <typename T>
+void fast_hadamard_transform_28N_with_transpose(T* vec, int log2_vec_size) {
+  const int vec_size = (1 << log2_vec_size);
+  for (int ii = 0; ii < 28; ++ii) {
+    executorch::fast_hadamard_transform(&vec[ii * vec_size], log2_vec_size);
+  }
+  std::unique_ptr<T[]> transposed = std::make_unique<T[]>(28 * vec_size);
+  for (int ii = 0; ii < 28; ++ii) {
+    for (int jj = 0; jj < vec_size; ++jj) {
+      transposed[jj * 28 + ii] = vec[ii * vec_size + jj];
+    }
+  }
+  for (int ii = 0; ii < vec_size; ++ii) {
+    hadamard_mult_28(&transposed[ii * 28]);
+  }
+  for (int jj = 0; jj < vec_size; ++jj) {
+    for (int ii = 0; ii < 28; ++ii) {
+      vec[ii * vec_size + jj] = transposed[jj * 28 + ii];
+    }
+  }
+}
+
+std::vector<float> random_floats(int howMany);
+
+} // namespace executorch::runtime::testing
diff --git a/extension/llm/custom_ops/spinquant/test/op_fast_hadamard_transform_test.cpp b/extension/llm/custom_ops/spinquant/test/op_fast_hadamard_transform_test.cpp
new file mode 100644
index 0000000000..7ab2d6c300
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/test/op_fast_hadamard_transform_test.cpp
@@ -0,0 +1,118 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/extension/llm/custom_ops/op_fast_hadamard_transform.h>
+#include <executorch/extension/llm/custom_ops/spinquant/test/fast_hadamard_transform_test_impl.h>
+#include <executorch/kernels/test/TestUtil.h>
+#include <executorch/runtime/core/exec_aten/testing_util/tensor_factory.h>
+
+#include <gtest/gtest.h>
+
+#include <cmath>
+
+using exec_aten::Tensor;
+
+using executorch::runtime::testing::fast_hadamard_transform_28N_with_transpose;
+using executorch::runtime::testing::random_floats;
+using executorch::runtime::testing::reference_fht_impl;
+
+namespace {
+Tensor& fast_hadamard_transform_nocontext(const Tensor& vec, Tensor& out) {
+  exec_aten::RuntimeContext context;
+  return torch::executor::native::fast_hadamard_transform_out(
+      context, vec, out);
+}
+} // namespace
+
+TEST(OpFastHadamardTransformTest, EmptyInput) {
+  torch::executor::testing::TensorFactory<exec_aten::ScalarType::Float> tfFloat;
+  auto vec = tfFloat.zeros({0});
+  auto out = tfFloat.zeros({0});
+  auto result = fast_hadamard_transform_nocontext(vec, out);
+  EXPECT_EQ(result.numel(), 0);
+}
+
+TEST(OpFastHadamardTransformTest, SingleElementInput) {
+  torch::executor::testing::TensorFactory<exec_aten::ScalarType::Float> tfFloat;
+  auto vec = tfFloat.ones({1});
+  auto out = tfFloat.zeros({1});
+  auto result = fast_hadamard_transform_nocontext(vec, out);
+  EXPECT_EQ(result.numel(), 1);
+  // FHT of a single element is a no-op.
+  EXPECT_EQ(result.const_data_ptr<float>()[0], 1);
+}
+
+TEST(OpFastHadamardTransformTest, FourKInput) {
+  torch::executor::testing::TensorFactory<exec_aten::ScalarType::Float> tfFloat;
+  std::vector<float> data = random_floats(4096);
+  auto vec = tfFloat.make({4096}, data);
+  auto out = tfFloat.zeros({4096});
+  auto result = fast_hadamard_transform_nocontext(vec, out);
+
+  std::vector<float> reference_result = data;
+  reference_fht_impl(reference_result.data(), reference_result.size());
+
+  const float* const result_data = result.const_data_ptr<float>();
+  for (int ii = 0; ii < data.size(); ++ii) {
+    EXPECT_FLOAT_EQ(result_data[ii], reference_result[ii]);
+  }
+}
+
+TEST(OpFastHadamardTransformTest, MultipleRows) {
+  torch::executor::testing::TensorFactory<exec_aten::ScalarType::Float> tfFloat;
+  std::vector<float> data = random_floats(8 * 8 * 8);
+  auto mat = tfFloat.make({8, 8, 8}, data);
+  auto out = tfFloat.zeros({8, 8, 8});
+
+  auto result = fast_hadamard_transform_nocontext(mat, out);
+
+  std::vector<float> reference_result = data;
+  for (int ii = 0; ii < 8; ++ii) {
+    for (int jj = 0; jj < 8; ++jj) {
+      reference_fht_impl(&reference_result[ii * 64 + jj * 8], 8);
+    }
+  }
+
+  const float* const result_data = result.const_data_ptr<float>();
+  for (int ii = 0; ii < data.size(); ++ii) {
+    EXPECT_FLOAT_EQ(result_data[ii], reference_result[ii]);
+  }
+}
+
+TEST(OpFastHadamardTransformTest, Basic28N) {
+  torch::executor::testing::TensorFactory<exec_aten::ScalarType::Float> tfFloat;
+  constexpr int kTestLogSize = 7;
+  constexpr int kTestPowerOfTwoSize = 1 << kTestLogSize;
+  constexpr int kTestTotalSize = kTestPowerOfTwoSize * 28;
+  std::vector<float> data = random_floats(kTestTotalSize);
+  auto vec = tfFloat.make({kTestTotalSize}, data);
+  auto out = tfFloat.zeros({kTestTotalSize});
+
+  // The operator is supposed to autodetect 28 * 2**N size and handle
+  // accordingly.
+  auto result = fast_hadamard_transform_nocontext(vec, out);
+
+  std::vector<float> reference_result = data;
+  fast_hadamard_transform_28N_with_transpose(
+      reference_result.data(), kTestLogSize);
+
+  const float* const result_data = result.const_data_ptr<float>();
+  for (int ii = 0; ii < data.size(); ++ii) {
+    EXPECT_FLOAT_EQ(result_data[ii], reference_result[ii]);
+  }
+}
+
+TEST(OpFastHadamardTransformTest, InvalidSize) {
+  torch::executor::testing::TensorFactory<exec_aten::ScalarType::Float> tfFloat;
+  auto mat = tfFloat.zeros({3});
+  auto out = tfFloat.zeros({3});
+
+  exec_aten::RuntimeContext context;
+  torch::executor::native::fast_hadamard_transform_out(context, mat, out);
+  EXPECT_NE(context.failure_state(), executorch::runtime::Error::Ok);
+}
diff --git a/extension/llm/custom_ops/spinquant/test/targets.bzl b/extension/llm/custom_ops/spinquant/test/targets.bzl
new file mode 100644
index 0000000000..47ae39752a
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/test/targets.bzl
@@ -0,0 +1,42 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+    runtime.cxx_library(
+        name = "fast_hadamard_transform_test_impl",
+        srcs = ["fast_hadamard_transform_test_impl.cpp"],
+        exported_headers = [
+            "fast_hadamard_transform_special_unstrided_cpu.h",
+            "fast_hadamard_transform_test_impl.h",
+        ],
+        exported_deps = [
+            "//executorch/extension/llm/custom_ops/spinquant:fast_hadamard_transform",
+        ],
+        deps = [
+            "//executorch/extension/llm/custom_ops/spinquant/third-party/FFHT:dumb_fht",
+        ],
+    )
+
+    runtime.cxx_test(
+        name = "fast_hadamard_transform_test",
+        srcs = ["fast_hadamard_transform_test.cpp"],
+        deps = [
+            ":fast_hadamard_transform_test_impl",
+            "//executorch/extension/llm/custom_ops/spinquant:fast_hadamard_transform",
+        ],
+    )
+
+    runtime.cxx_test(
+        name = "op_fast_hadamard_transform_test",
+        srcs = ["op_fast_hadamard_transform_test.cpp"],
+        deps = [
+            ":fast_hadamard_transform_test_impl",
+            "//executorch/extension/llm/custom_ops:custom_ops",
+            "//executorch/kernels/test:test_util",
+            "//executorch/runtime/core/exec_aten/testing_util:tensor_util",
+        ],
+    )
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/LICENSE.md b/extension/llm/custom_ops/spinquant/third-party/FFHT/LICENSE.md
new file mode 100644
index 0000000000..52c4e01cd4
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/LICENSE.md
@@ -0,0 +1,22 @@
+The MIT License (MIT)
+
+Copyright (c) 2015 Alexandr Andoni, Piotr Indyk, Thijs Laarhoven,
+Ilya Razenshteyn, Ludwig Schmidt
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/Makefile b/extension/llm/custom_ops/spinquant/third-party/FFHT/Makefile
new file mode 100644
index 0000000000..7cbeb3ddae
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/Makefile
@@ -0,0 +1,21 @@
+CC = gcc
+CFLAGS = -O3 -march=native -std=c99 -pedantic -Wall -Wextra -Wshadow -Wpointer-arith -Wcast-qual -Wstrict-prototypes -Wmissing-prototypes
+
+all: test_float test_double fast_copy.o fht.o
+
+OBJ := dumb_fht.o fast_copy.o fht.o
+
+%.o: %.c
+	$(CC) $< -o $@ -c $(CFLAGS)
+
+test_%: test_%.c $(OBJ)
+	$(CC) $< $(OBJ) -o $@ $(CFLAGS)
+
+test_double_header_only: test_double_header_only.c
+	$(CC) $< -o $@ $(CFLAGS)
+
+test_float_header_only: test_double_header_only.c
+	$(CC) $< -o $@ $(CFLAGS)
+
+clean:
+	rm -f test_float test_double test_float_header_only test_double_header_only $(OBJ)
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/README.md b/extension/llm/custom_ops/spinquant/third-party/FFHT/README.md
new file mode 100644
index 0000000000..dcc9840f25
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/README.md
@@ -0,0 +1,5 @@
+# Fast Fast Hadamard Transform
+
+This directory contains a fork of https://github.com/FALCONN-LIB/FFHT
+(License: https://github.com/FALCONN-LIB/FFHT/blob/master/LICENSE.md)
+focused on ARM64 NEON code generation.
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/TARGETS b/extension/llm/custom_ops/spinquant/third-party/FFHT/TARGETS
new file mode 100644
index 0000000000..0a42614a38
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/TARGETS
@@ -0,0 +1,5 @@
+load(":targets.bzl", "define_common_targets")
+
+oncall("executorch")
+
+define_common_targets()
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/dumb_fht.c b/extension/llm/custom_ops/spinquant/third-party/FFHT/dumb_fht.c
new file mode 100644
index 0000000000..8f30f3e8ea
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/dumb_fht.c
@@ -0,0 +1,17 @@
+#include "dumb_fht.h"
+
+void dumb_fht(float* buf, int log_n) {
+  int n = 1 << log_n;
+  for (int i = 0; i < log_n; ++i) {
+    int s1 = 1 << i;
+    int s2 = s1 << 1;
+    for (int j = 0; j < n; j += s2) {
+      for (int k = 0; k < s1; ++k) {
+        float u = buf[j + k];
+        float v = buf[j + k + s1];
+        buf[j + k] = u + v;
+        buf[j + k + s1] = u - v;
+      }
+    }
+  }
+}
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/dumb_fht.h b/extension/llm/custom_ops/spinquant/third-party/FFHT/dumb_fht.h
new file mode 100644
index 0000000000..8ea702d449
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/dumb_fht.h
@@ -0,0 +1,14 @@
+#ifndef DUMB_FHT_H
+#define DUMB_FHT_H
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+void dumb_fht(float* buf, int log_n);
+
+#ifdef __cplusplus
+} // extern "C"
+#endif
+
+#endif /* DUMB_FHT_H */
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py b/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py
new file mode 100644
index 0000000000..576c89830d
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py
@@ -0,0 +1,20 @@
+import numpy as np
+import ffht
+import timeit
+import sys
+
+reps = 1000
+n = 2**20
+chunk_size = 1024
+
+a = np.random.randn(n).astype(np.float32)
+
+t1 = timeit.default_timer()
+for i in range(reps):
+    ffht.fht(a)
+t2 = timeit.default_timer()
+
+if sys.version_info[0] == 2:
+    print (t2 - t1 + 0.0) / (reps + 0.0)
+if sys.version_info[0] == 3:
+    print('{}'.format((t2 - t1 + 0.0) / (reps + 0.0)))
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/fast_copy.c b/extension/llm/custom_ops/spinquant/third-party/FFHT/fast_copy.c
new file mode 100644
index 0000000000..bf3cbd1986
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/fast_copy.c
@@ -0,0 +1,60 @@
+#include "fast_copy.h"
+#include <string.h>
+#include <stdlib.h>
+#if (defined(__x86_64__) || defined(__i386__))
+#  include <x86intrin.h>
+#endif
+
+#ifdef FHT_HEADER_ONLY
+#  define _STORAGE_ static inline
+#else
+#  define _STORAGE_
+#endif
+
+// These functions all assume that the size of memory being copied is a power of 2.
+
+#if _FEATURE_AVX512F
+// If n is less than 64, defaults to memcpy. Otherwise, being a power of 2, we can just use unaligned stores and loads.
+_STORAGE_ void *fast_copy(void *out, void *in, size_t n) {
+    if(n >= FAST_COPY_MEMCPY_THRESHOLD) {
+        return memcpy(out, in, n);
+    }
+    n >>= 6;
+    for(__m512 *ov = (__m512 *)out, *iv = (__m512 *)in; n--;) {
+        _mm512_storeu_ps((float *)(ov++), _mm512_loadu_ps((float *)(iv++)));
+    }
+    return out;
+}
+#elif __AVX2__
+// If n is less than 32, defaults to memcpy. Otherwise, being a power of 2, we can just use unaligned stores and loads.
+_STORAGE_ void *fast_copy(void *out, void *in, size_t n) {
+    if(n >= FAST_COPY_MEMCPY_THRESHOLD) {
+        return memcpy(out, in, n);
+    }
+    n >>= 5;
+    for(__m256 *ov = (__m256 *)out, *iv = (__m256 *)in; n--;) {
+        _mm256_storeu_ps((float *)(ov++), _mm256_loadu_ps((float *)(iv++)));
+    }
+    return out;
+}
+#elif __SSE2__
+// If n is less than 16, defaults to memcpy. Otherwise, being a power of 2, we can just use unaligned stores and loads.
+_STORAGE_ void *fast_copy(void *out, void *in, size_t n) {
+    if(n >= FAST_COPY_MEMCPY_THRESHOLD) {
+        return memcpy(out, in, n);
+    }
+    n >>= 4;
+    for(__m128 *ov = (__m128 *)out, *iv = (__m128 *)in; n--;) {
+        _mm_storeu_ps((float *)(ov++), _mm_loadu_ps((float *)(iv++)));
+    }
+    return out;
+}
+#else
+_STORAGE_ void *fast_copy(void *out, void *in, size_t n) {
+    return memcpy(out, in, n);
+}
+#endif
+
+#ifdef FHT_HEADER_ONLY
+#  undef _STORAGE_
+#endif
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/fast_copy.h b/extension/llm/custom_ops/spinquant/third-party/FFHT/fast_copy.h
new file mode 100644
index 0000000000..f4d4fabc01
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/fast_copy.h
@@ -0,0 +1,21 @@
+#ifndef _FAST_COPY_H__
+#define _FAST_COPY_H__
+#include <stdlib.h>
+
+#ifndef FAST_COPY_MEMCPY_THRESHOLD
+#  define FAST_COPY_MEMCPY_THRESHOLD ((size_t)1ull << 20)
+#endif
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+#ifdef FHT_HEADER_ONLY
+#include "fast_copy.c"
+#else
+void *fast_copy(void *out, void *in, size_t m);
+#endif
+#ifdef __cplusplus
+} // extern "C"
+#endif
+
+#endif // _FAST_COPY_H__
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/fht.c b/extension/llm/custom_ops/spinquant/third-party/FFHT/fht.c
new file mode 100644
index 0000000000..c374ff618f
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/fht.c
@@ -0,0 +1,3 @@
+#include "fht.h"
+
+#include "fht_impl.h"
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/fht.h b/extension/llm/custom_ops/spinquant/third-party/FFHT/fht.h
new file mode 100644
index 0000000000..3bc78e353b
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/fht.h
@@ -0,0 +1,45 @@
+#ifndef _FHT_H_
+#define _FHT_H_
+#include <stdlib.h>
+#include <string.h>
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+int fht_float(float* buf, int log_n);
+#ifndef __aarch64__
+int fht_double(double* buf, int log_n);
+#endif
+int fht_float_oop(float* in, float* out, int log_n);
+#ifndef __aarch64__
+int fht_double_oop(double* in, double* out, int log_n);
+#endif
+
+#ifdef __cplusplus
+
+} // extern "C"
+
+static inline int fht(float* buf, int log_n) {
+  return fht_float(buf, log_n);
+}
+
+#ifndef __aarch64__
+static inline int fht(double* buf, int log_n) {
+  return fht_double(buf, log_n);
+}
+#endif
+
+static inline int fht(float* buf, float* out, int log_n) {
+  return fht_float_oop(buf, out, log_n);
+}
+
+#ifndef __aarch64__
+static inline int fht(double* buf, double* out, int log_n) {
+  return fht_double_oop(buf, out, log_n);
+}
+#endif
+
+#endif
+
+#endif
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/fht_avx.c b/extension/llm/custom_ops/spinquant/third-party/FFHT/fht_avx.c
new file mode 100644
index 0000000000..721130dc9f
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/fht_avx.c
@@ -0,0 +1,19671 @@
+#include "fht.h"
+static inline void helper_float_1(float *buf);
+static inline void helper_float_1(float *buf) {
+  for (int j = 0; j < 2; j += 2) {
+    for (int k = 0; k < 1; ++k) {
+      float u = buf[j + k];
+      float v = buf[j + k + 1];
+      buf[j + k] = u + v;
+      buf[j + k + 1] = u - v;
+    }
+  }
+}
+static inline void helper_float_2(float *buf);
+static inline void helper_float_2(float *buf) {
+  for (int j = 0; j < 4; j += 2) {
+    for (int k = 0; k < 1; ++k) {
+      float u = buf[j + k];
+      float v = buf[j + k + 1];
+      buf[j + k] = u + v;
+      buf[j + k + 1] = u - v;
+    }
+  }
+  for (int j = 0; j < 4; j += 4) {
+    for (int k = 0; k < 2; ++k) {
+      float u = buf[j + k];
+      float v = buf[j + k + 2];
+      buf[j + k] = u + v;
+      buf[j + k + 2] = u - v;
+    }
+  }
+}
+static inline void helper_float_3(float *buf);
+static inline void helper_float_3(float *buf) {
+  for (int j = 0; j < 8; j += 8) {
+    __asm__ volatile (
+      "vmovups (%0), %%ymm0\n"
+      "vpermilps $160, %%ymm0, %%ymm8\n"
+      "vpermilps $245, %%ymm0, %%ymm9\n"
+      "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+      "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+      "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+      "vpermilps $68, %%ymm0, %%ymm8\n"
+      "vpermilps $238, %%ymm0, %%ymm9\n"
+      "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+      "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+      "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+      "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+      "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+      "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+      "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+      "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+      "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+      "vmovups %%ymm0, (%0)\n"
+      :: "r"(buf + j) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+    );
+  }
+}
+static inline void helper_float_4(float *buf);
+static inline void helper_float_4(float *buf) {
+  for (int j = 0; j < 16; j += 16) {
+    for (int k = 0; k < 8; k += 8) {
+      __asm__ volatile (
+        "vmovups (%0), %%ymm0\n"
+        "vmovups (%1), %%ymm1\n"
+        "vpermilps $160, %%ymm0, %%ymm8\n"
+        "vpermilps $245, %%ymm0, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+        "vpermilps $160, %%ymm1, %%ymm8\n"
+        "vpermilps $245, %%ymm1, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+        "vpermilps $68, %%ymm0, %%ymm8\n"
+        "vpermilps $238, %%ymm0, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+        "vpermilps $68, %%ymm1, %%ymm8\n"
+        "vpermilps $238, %%ymm1, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+        "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+        "vmovups %%ymm8, (%0)\n"
+        "vmovups %%ymm9, (%1)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 8) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+}
+static inline void helper_float_5(float *buf);
+static inline void helper_float_5(float *buf) {
+  for (int j = 0; j < 32; j += 32) {
+    for (int k = 0; k < 8; k += 8) {
+      __asm__ volatile (
+        "vmovups (%0), %%ymm0\n"
+        "vmovups (%1), %%ymm1\n"
+        "vmovups (%2), %%ymm2\n"
+        "vmovups (%3), %%ymm3\n"
+        "vpermilps $160, %%ymm0, %%ymm8\n"
+        "vpermilps $245, %%ymm0, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+        "vpermilps $160, %%ymm1, %%ymm8\n"
+        "vpermilps $245, %%ymm1, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+        "vpermilps $160, %%ymm2, %%ymm8\n"
+        "vpermilps $245, %%ymm2, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+        "vpermilps $160, %%ymm3, %%ymm8\n"
+        "vpermilps $245, %%ymm3, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+        "vpermilps $68, %%ymm0, %%ymm8\n"
+        "vpermilps $238, %%ymm0, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+        "vpermilps $68, %%ymm1, %%ymm8\n"
+        "vpermilps $238, %%ymm1, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+        "vpermilps $68, %%ymm2, %%ymm8\n"
+        "vpermilps $238, %%ymm2, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+        "vpermilps $68, %%ymm3, %%ymm8\n"
+        "vpermilps $238, %%ymm3, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+        "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+        "vmovups %%ymm0, (%0)\n"
+        "vmovups %%ymm1, (%1)\n"
+        "vmovups %%ymm2, (%2)\n"
+        "vmovups %%ymm3, (%3)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+}
+static inline void helper_float_6(float *buf);
+static inline void helper_float_6(float *buf) {
+  for (int j = 0; j < 64; j += 64) {
+    for (int k = 0; k < 8; k += 8) {
+      __asm__ volatile (
+        "vmovups (%0), %%ymm0\n"
+        "vmovups (%1), %%ymm1\n"
+        "vmovups (%2), %%ymm2\n"
+        "vmovups (%3), %%ymm3\n"
+        "vmovups (%4), %%ymm4\n"
+        "vmovups (%5), %%ymm5\n"
+        "vmovups (%6), %%ymm6\n"
+        "vmovups (%7), %%ymm7\n"
+        "vpermilps $160, %%ymm0, %%ymm8\n"
+        "vpermilps $245, %%ymm0, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+        "vpermilps $160, %%ymm1, %%ymm8\n"
+        "vpermilps $245, %%ymm1, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+        "vpermilps $160, %%ymm2, %%ymm8\n"
+        "vpermilps $245, %%ymm2, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+        "vpermilps $160, %%ymm3, %%ymm8\n"
+        "vpermilps $245, %%ymm3, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+        "vpermilps $160, %%ymm4, %%ymm8\n"
+        "vpermilps $245, %%ymm4, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+        "vpermilps $160, %%ymm5, %%ymm8\n"
+        "vpermilps $245, %%ymm5, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+        "vpermilps $160, %%ymm6, %%ymm8\n"
+        "vpermilps $245, %%ymm6, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+        "vpermilps $160, %%ymm7, %%ymm8\n"
+        "vpermilps $245, %%ymm7, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+        "vpermilps $68, %%ymm0, %%ymm8\n"
+        "vpermilps $238, %%ymm0, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+        "vpermilps $68, %%ymm1, %%ymm8\n"
+        "vpermilps $238, %%ymm1, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+        "vpermilps $68, %%ymm2, %%ymm8\n"
+        "vpermilps $238, %%ymm2, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+        "vpermilps $68, %%ymm3, %%ymm8\n"
+        "vpermilps $238, %%ymm3, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+        "vpermilps $68, %%ymm4, %%ymm8\n"
+        "vpermilps $238, %%ymm4, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+        "vpermilps $68, %%ymm5, %%ymm8\n"
+        "vpermilps $238, %%ymm5, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+        "vpermilps $68, %%ymm6, %%ymm8\n"
+        "vpermilps $238, %%ymm6, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+        "vpermilps $68, %%ymm7, %%ymm8\n"
+        "vpermilps $238, %%ymm7, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+        "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+        "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+        "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+        "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+        "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+        "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+        "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+        "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+        "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+        "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+        "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+        "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+        "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+        "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+        "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+        "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+        "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+        "vmovups %%ymm8, (%0)\n"
+        "vmovups %%ymm9, (%1)\n"
+        "vmovups %%ymm10, (%2)\n"
+        "vmovups %%ymm11, (%3)\n"
+        "vmovups %%ymm12, (%4)\n"
+        "vmovups %%ymm13, (%5)\n"
+        "vmovups %%ymm14, (%6)\n"
+        "vmovups %%ymm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+}
+void helper_float_7_recursive(float *buf, int depth);
+void helper_float_7_recursive(float *buf, int depth) {
+  if (depth == 7) {
+    for (int j = 0; j < 128; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 128; j += 128) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_7(float *buf);
+void helper_float_7(float *buf) {
+  helper_float_7_recursive(buf, 7);
+}
+void helper_float_8_recursive(float *buf, int depth);
+void helper_float_8_recursive(float *buf, int depth) {
+  if (depth == 6) {
+    for (int j = 0; j < 64; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 8) {
+    helper_float_8_recursive(buf + 0, 6);
+    helper_float_8_recursive(buf + 64, 6);
+    helper_float_8_recursive(buf + 128, 6);
+    helper_float_8_recursive(buf + 192, 6);
+    for (int j = 0; j < 256; j += 256) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovups %%ymm0, (%0)\n"
+          "vmovups %%ymm1, (%1)\n"
+          "vmovups %%ymm2, (%2)\n"
+          "vmovups %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_8(float *buf);
+void helper_float_8(float *buf) {
+  helper_float_8_recursive(buf, 8);
+}
+static inline void helper_float_9(float *buf);
+static inline void helper_float_9(float *buf) {
+  for (int j = 0; j < 512; j += 64) {
+    for (int k = 0; k < 8; k += 8) {
+      __asm__ volatile (
+        "vmovups (%0), %%ymm0\n"
+        "vmovups (%1), %%ymm1\n"
+        "vmovups (%2), %%ymm2\n"
+        "vmovups (%3), %%ymm3\n"
+        "vmovups (%4), %%ymm4\n"
+        "vmovups (%5), %%ymm5\n"
+        "vmovups (%6), %%ymm6\n"
+        "vmovups (%7), %%ymm7\n"
+        "vpermilps $160, %%ymm0, %%ymm8\n"
+        "vpermilps $245, %%ymm0, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+        "vpermilps $160, %%ymm1, %%ymm8\n"
+        "vpermilps $245, %%ymm1, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+        "vpermilps $160, %%ymm2, %%ymm8\n"
+        "vpermilps $245, %%ymm2, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+        "vpermilps $160, %%ymm3, %%ymm8\n"
+        "vpermilps $245, %%ymm3, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+        "vpermilps $160, %%ymm4, %%ymm8\n"
+        "vpermilps $245, %%ymm4, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+        "vpermilps $160, %%ymm5, %%ymm8\n"
+        "vpermilps $245, %%ymm5, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+        "vpermilps $160, %%ymm6, %%ymm8\n"
+        "vpermilps $245, %%ymm6, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+        "vpermilps $160, %%ymm7, %%ymm8\n"
+        "vpermilps $245, %%ymm7, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+        "vpermilps $68, %%ymm0, %%ymm8\n"
+        "vpermilps $238, %%ymm0, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+        "vpermilps $68, %%ymm1, %%ymm8\n"
+        "vpermilps $238, %%ymm1, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+        "vpermilps $68, %%ymm2, %%ymm8\n"
+        "vpermilps $238, %%ymm2, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+        "vpermilps $68, %%ymm3, %%ymm8\n"
+        "vpermilps $238, %%ymm3, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+        "vpermilps $68, %%ymm4, %%ymm8\n"
+        "vpermilps $238, %%ymm4, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+        "vpermilps $68, %%ymm5, %%ymm8\n"
+        "vpermilps $238, %%ymm5, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+        "vpermilps $68, %%ymm6, %%ymm8\n"
+        "vpermilps $238, %%ymm6, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+        "vpermilps $68, %%ymm7, %%ymm8\n"
+        "vpermilps $238, %%ymm7, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+        "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+        "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+        "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+        "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+        "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+        "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+        "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+        "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+        "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+        "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+        "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+        "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+        "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+        "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+        "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+        "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+        "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+        "vmovups %%ymm8, (%0)\n"
+        "vmovups %%ymm9, (%1)\n"
+        "vmovups %%ymm10, (%2)\n"
+        "vmovups %%ymm11, (%3)\n"
+        "vmovups %%ymm12, (%4)\n"
+        "vmovups %%ymm13, (%5)\n"
+        "vmovups %%ymm14, (%6)\n"
+        "vmovups %%ymm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 512; j += 512) {
+    for (int k = 0; k < 64; k += 8) {
+      __asm__ volatile (
+        "vmovups (%0), %%ymm0\n"
+        "vmovups (%1), %%ymm1\n"
+        "vmovups (%2), %%ymm2\n"
+        "vmovups (%3), %%ymm3\n"
+        "vmovups (%4), %%ymm4\n"
+        "vmovups (%5), %%ymm5\n"
+        "vmovups (%6), %%ymm6\n"
+        "vmovups (%7), %%ymm7\n"
+        "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+        "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+        "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+        "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+        "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+        "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+        "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+        "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+        "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+        "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+        "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+        "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+        "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+        "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+        "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+        "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+        "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+        "vmovups %%ymm8, (%0)\n"
+        "vmovups %%ymm9, (%1)\n"
+        "vmovups %%ymm10, (%2)\n"
+        "vmovups %%ymm11, (%3)\n"
+        "vmovups %%ymm12, (%4)\n"
+        "vmovups %%ymm13, (%5)\n"
+        "vmovups %%ymm14, (%6)\n"
+        "vmovups %%ymm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+}
+void helper_float_10_recursive(float *buf, int depth);
+void helper_float_10_recursive(float *buf, int depth) {
+  if (depth == 10) {
+    for (int j = 0; j < 1024; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 1024; j += 512) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 1024; j += 1024) {
+      for (int k = 0; k < 512; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_10(float *buf);
+void helper_float_10(float *buf) {
+  helper_float_10_recursive(buf, 10);
+}
+void helper_float_11_recursive(float *buf, int depth);
+void helper_float_11_recursive(float *buf, int depth) {
+  if (depth == 11) {
+    for (int j = 0; j < 2048; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 512) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 512; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovups %%ymm0, (%0)\n"
+          "vmovups %%ymm1, (%1)\n"
+          "vmovups %%ymm2, (%2)\n"
+          "vmovups %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_11(float *buf);
+void helper_float_11(float *buf) {
+  helper_float_11_recursive(buf, 11);
+}
+static inline void helper_float_12(float *buf);
+static inline void helper_float_12(float *buf) {
+  for (int j = 0; j < 4096; j += 64) {
+    for (int k = 0; k < 8; k += 8) {
+      __asm__ volatile (
+        "vmovups (%0), %%ymm0\n"
+        "vmovups (%1), %%ymm1\n"
+        "vmovups (%2), %%ymm2\n"
+        "vmovups (%3), %%ymm3\n"
+        "vmovups (%4), %%ymm4\n"
+        "vmovups (%5), %%ymm5\n"
+        "vmovups (%6), %%ymm6\n"
+        "vmovups (%7), %%ymm7\n"
+        "vpermilps $160, %%ymm0, %%ymm8\n"
+        "vpermilps $245, %%ymm0, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+        "vpermilps $160, %%ymm1, %%ymm8\n"
+        "vpermilps $245, %%ymm1, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+        "vpermilps $160, %%ymm2, %%ymm8\n"
+        "vpermilps $245, %%ymm2, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+        "vpermilps $160, %%ymm3, %%ymm8\n"
+        "vpermilps $245, %%ymm3, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+        "vpermilps $160, %%ymm4, %%ymm8\n"
+        "vpermilps $245, %%ymm4, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+        "vpermilps $160, %%ymm5, %%ymm8\n"
+        "vpermilps $245, %%ymm5, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+        "vpermilps $160, %%ymm6, %%ymm8\n"
+        "vpermilps $245, %%ymm6, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+        "vpermilps $160, %%ymm7, %%ymm8\n"
+        "vpermilps $245, %%ymm7, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+        "vpermilps $68, %%ymm0, %%ymm8\n"
+        "vpermilps $238, %%ymm0, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+        "vpermilps $68, %%ymm1, %%ymm8\n"
+        "vpermilps $238, %%ymm1, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+        "vpermilps $68, %%ymm2, %%ymm8\n"
+        "vpermilps $238, %%ymm2, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+        "vpermilps $68, %%ymm3, %%ymm8\n"
+        "vpermilps $238, %%ymm3, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+        "vpermilps $68, %%ymm4, %%ymm8\n"
+        "vpermilps $238, %%ymm4, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+        "vpermilps $68, %%ymm5, %%ymm8\n"
+        "vpermilps $238, %%ymm5, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+        "vpermilps $68, %%ymm6, %%ymm8\n"
+        "vpermilps $238, %%ymm6, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+        "vpermilps $68, %%ymm7, %%ymm8\n"
+        "vpermilps $238, %%ymm7, %%ymm9\n"
+        "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+        "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+        "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+        "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+        "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+        "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+        "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+        "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+        "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+        "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+        "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+        "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+        "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+        "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+        "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+        "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+        "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+        "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+        "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+        "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+        "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+        "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+        "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+        "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+        "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+        "vmovups %%ymm8, (%0)\n"
+        "vmovups %%ymm9, (%1)\n"
+        "vmovups %%ymm10, (%2)\n"
+        "vmovups %%ymm11, (%3)\n"
+        "vmovups %%ymm12, (%4)\n"
+        "vmovups %%ymm13, (%5)\n"
+        "vmovups %%ymm14, (%6)\n"
+        "vmovups %%ymm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 4096; j += 512) {
+    for (int k = 0; k < 64; k += 8) {
+      __asm__ volatile (
+        "vmovups (%0), %%ymm0\n"
+        "vmovups (%1), %%ymm1\n"
+        "vmovups (%2), %%ymm2\n"
+        "vmovups (%3), %%ymm3\n"
+        "vmovups (%4), %%ymm4\n"
+        "vmovups (%5), %%ymm5\n"
+        "vmovups (%6), %%ymm6\n"
+        "vmovups (%7), %%ymm7\n"
+        "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+        "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+        "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+        "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+        "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+        "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+        "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+        "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+        "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+        "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+        "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+        "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+        "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+        "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+        "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+        "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+        "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+        "vmovups %%ymm8, (%0)\n"
+        "vmovups %%ymm9, (%1)\n"
+        "vmovups %%ymm10, (%2)\n"
+        "vmovups %%ymm11, (%3)\n"
+        "vmovups %%ymm12, (%4)\n"
+        "vmovups %%ymm13, (%5)\n"
+        "vmovups %%ymm14, (%6)\n"
+        "vmovups %%ymm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 4096; j += 4096) {
+    for (int k = 0; k < 512; k += 8) {
+      __asm__ volatile (
+        "vmovups (%0), %%ymm0\n"
+        "vmovups (%1), %%ymm1\n"
+        "vmovups (%2), %%ymm2\n"
+        "vmovups (%3), %%ymm3\n"
+        "vmovups (%4), %%ymm4\n"
+        "vmovups (%5), %%ymm5\n"
+        "vmovups (%6), %%ymm6\n"
+        "vmovups (%7), %%ymm7\n"
+        "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+        "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+        "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+        "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+        "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+        "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+        "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+        "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+        "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+        "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+        "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+        "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+        "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+        "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+        "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+        "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+        "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+        "vmovups %%ymm8, (%0)\n"
+        "vmovups %%ymm9, (%1)\n"
+        "vmovups %%ymm10, (%2)\n"
+        "vmovups %%ymm11, (%3)\n"
+        "vmovups %%ymm12, (%4)\n"
+        "vmovups %%ymm13, (%5)\n"
+        "vmovups %%ymm14, (%6)\n"
+        "vmovups %%ymm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+}
+void helper_float_13_recursive(float *buf, int depth);
+void helper_float_13_recursive(float *buf, int depth) {
+  if (depth == 11) {
+    for (int j = 0; j < 2048; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 512) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 512; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovups %%ymm0, (%0)\n"
+          "vmovups %%ymm1, (%1)\n"
+          "vmovups %%ymm2, (%2)\n"
+          "vmovups %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 13) {
+    helper_float_13_recursive(buf + 0, 11);
+    helper_float_13_recursive(buf + 2048, 11);
+    helper_float_13_recursive(buf + 4096, 11);
+    helper_float_13_recursive(buf + 6144, 11);
+    for (int j = 0; j < 8192; j += 8192) {
+      for (int k = 0; k < 2048; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovups %%ymm0, (%0)\n"
+          "vmovups %%ymm1, (%1)\n"
+          "vmovups %%ymm2, (%2)\n"
+          "vmovups %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_13(float *buf);
+void helper_float_13(float *buf) {
+  helper_float_13_recursive(buf, 13);
+}
+void helper_float_14_recursive(float *buf, int depth);
+void helper_float_14_recursive(float *buf, int depth) {
+  if (depth == 12) {
+    for (int j = 0; j < 4096; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 512) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 512; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_float_14_recursive(buf + 0, 12);
+    helper_float_14_recursive(buf + 4096, 12);
+    helper_float_14_recursive(buf + 8192, 12);
+    helper_float_14_recursive(buf + 12288, 12);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 4096; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovups %%ymm0, (%0)\n"
+          "vmovups %%ymm1, (%1)\n"
+          "vmovups %%ymm2, (%2)\n"
+          "vmovups %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_14(float *buf);
+void helper_float_14(float *buf) {
+  helper_float_14_recursive(buf, 14);
+}
+void helper_float_15_recursive(float *buf, int depth);
+void helper_float_15_recursive(float *buf, int depth) {
+  if (depth == 13) {
+    for (int j = 0; j < 8192; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 512) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 4096) {
+      for (int k = 0; k < 512; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 8192) {
+      for (int k = 0; k < 4096; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_float_15_recursive(buf + 0, 13);
+    helper_float_15_recursive(buf + 8192, 13);
+    helper_float_15_recursive(buf + 16384, 13);
+    helper_float_15_recursive(buf + 24576, 13);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 8192; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovups %%ymm0, (%0)\n"
+          "vmovups %%ymm1, (%1)\n"
+          "vmovups %%ymm2, (%2)\n"
+          "vmovups %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8192), "r"(buf + j + k + 16384), "r"(buf + j + k + 24576) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_15(float *buf);
+void helper_float_15(float *buf) {
+  helper_float_15_recursive(buf, 15);
+}
+void helper_float_16_recursive(float *buf, int depth);
+void helper_float_16_recursive(float *buf, int depth) {
+  if (depth == 13) {
+    for (int j = 0; j < 8192; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 512) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 4096) {
+      for (int k = 0; k < 512; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 8192) {
+      for (int k = 0; k < 4096; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 16) {
+    helper_float_16_recursive(buf + 0, 13);
+    helper_float_16_recursive(buf + 8192, 13);
+    helper_float_16_recursive(buf + 16384, 13);
+    helper_float_16_recursive(buf + 24576, 13);
+    helper_float_16_recursive(buf + 32768, 13);
+    helper_float_16_recursive(buf + 40960, 13);
+    helper_float_16_recursive(buf + 49152, 13);
+    helper_float_16_recursive(buf + 57344, 13);
+    for (int j = 0; j < 65536; j += 65536) {
+      for (int k = 0; k < 8192; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8192), "r"(buf + j + k + 16384), "r"(buf + j + k + 24576), "r"(buf + j + k + 32768), "r"(buf + j + k + 40960), "r"(buf + j + k + 49152), "r"(buf + j + k + 57344) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_16(float *buf);
+void helper_float_16(float *buf) {
+  helper_float_16_recursive(buf, 16);
+}
+void helper_float_17_recursive(float *buf, int depth);
+void helper_float_17_recursive(float *buf, int depth) {
+  if (depth == 12) {
+    for (int j = 0; j < 4096; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 512) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 512; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_float_17_recursive(buf + 0, 12);
+    helper_float_17_recursive(buf + 4096, 12);
+    helper_float_17_recursive(buf + 8192, 12);
+    helper_float_17_recursive(buf + 12288, 12);
+    helper_float_17_recursive(buf + 16384, 12);
+    helper_float_17_recursive(buf + 20480, 12);
+    helper_float_17_recursive(buf + 24576, 12);
+    helper_float_17_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_float_17_recursive(buf + 0, 15);
+    helper_float_17_recursive(buf + 32768, 15);
+    helper_float_17_recursive(buf + 65536, 15);
+    helper_float_17_recursive(buf + 98304, 15);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 32768; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovups %%ymm0, (%0)\n"
+          "vmovups %%ymm1, (%1)\n"
+          "vmovups %%ymm2, (%2)\n"
+          "vmovups %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_17(float *buf);
+void helper_float_17(float *buf) {
+  helper_float_17_recursive(buf, 17);
+}
+void helper_float_18_recursive(float *buf, int depth);
+void helper_float_18_recursive(float *buf, int depth) {
+  if (depth == 12) {
+    for (int j = 0; j < 4096; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 512) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 512; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_float_18_recursive(buf + 0, 12);
+    helper_float_18_recursive(buf + 4096, 12);
+    helper_float_18_recursive(buf + 8192, 12);
+    helper_float_18_recursive(buf + 12288, 12);
+    helper_float_18_recursive(buf + 16384, 12);
+    helper_float_18_recursive(buf + 20480, 12);
+    helper_float_18_recursive(buf + 24576, 12);
+    helper_float_18_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_float_18_recursive(buf + 0, 15);
+    helper_float_18_recursive(buf + 32768, 15);
+    helper_float_18_recursive(buf + 65536, 15);
+    helper_float_18_recursive(buf + 98304, 15);
+    helper_float_18_recursive(buf + 131072, 15);
+    helper_float_18_recursive(buf + 163840, 15);
+    helper_float_18_recursive(buf + 196608, 15);
+    helper_float_18_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_18(float *buf);
+void helper_float_18(float *buf) {
+  helper_float_18_recursive(buf, 18);
+}
+void helper_float_19_recursive(float *buf, int depth);
+void helper_float_19_recursive(float *buf, int depth) {
+  if (depth == 13) {
+    for (int j = 0; j < 8192; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 512) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 4096) {
+      for (int k = 0; k < 512; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 8192) {
+      for (int k = 0; k < 4096; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 16) {
+    helper_float_19_recursive(buf + 0, 13);
+    helper_float_19_recursive(buf + 8192, 13);
+    helper_float_19_recursive(buf + 16384, 13);
+    helper_float_19_recursive(buf + 24576, 13);
+    helper_float_19_recursive(buf + 32768, 13);
+    helper_float_19_recursive(buf + 40960, 13);
+    helper_float_19_recursive(buf + 49152, 13);
+    helper_float_19_recursive(buf + 57344, 13);
+    for (int j = 0; j < 65536; j += 65536) {
+      for (int k = 0; k < 8192; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8192), "r"(buf + j + k + 16384), "r"(buf + j + k + 24576), "r"(buf + j + k + 32768), "r"(buf + j + k + 40960), "r"(buf + j + k + 49152), "r"(buf + j + k + 57344) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 19) {
+    helper_float_19_recursive(buf + 0, 16);
+    helper_float_19_recursive(buf + 65536, 16);
+    helper_float_19_recursive(buf + 131072, 16);
+    helper_float_19_recursive(buf + 196608, 16);
+    helper_float_19_recursive(buf + 262144, 16);
+    helper_float_19_recursive(buf + 327680, 16);
+    helper_float_19_recursive(buf + 393216, 16);
+    helper_float_19_recursive(buf + 458752, 16);
+    for (int j = 0; j < 524288; j += 524288) {
+      for (int k = 0; k < 65536; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 65536), "r"(buf + j + k + 131072), "r"(buf + j + k + 196608), "r"(buf + j + k + 262144), "r"(buf + j + k + 327680), "r"(buf + j + k + 393216), "r"(buf + j + k + 458752) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_19(float *buf);
+void helper_float_19(float *buf) {
+  helper_float_19_recursive(buf, 19);
+}
+void helper_float_20_recursive(float *buf, int depth);
+void helper_float_20_recursive(float *buf, int depth) {
+  if (depth == 12) {
+    for (int j = 0; j < 4096; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 512) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 512; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_float_20_recursive(buf + 0, 12);
+    helper_float_20_recursive(buf + 4096, 12);
+    helper_float_20_recursive(buf + 8192, 12);
+    helper_float_20_recursive(buf + 12288, 12);
+    helper_float_20_recursive(buf + 16384, 12);
+    helper_float_20_recursive(buf + 20480, 12);
+    helper_float_20_recursive(buf + 24576, 12);
+    helper_float_20_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_float_20_recursive(buf + 0, 15);
+    helper_float_20_recursive(buf + 32768, 15);
+    helper_float_20_recursive(buf + 65536, 15);
+    helper_float_20_recursive(buf + 98304, 15);
+    helper_float_20_recursive(buf + 131072, 15);
+    helper_float_20_recursive(buf + 163840, 15);
+    helper_float_20_recursive(buf + 196608, 15);
+    helper_float_20_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 20) {
+    helper_float_20_recursive(buf + 0, 18);
+    helper_float_20_recursive(buf + 262144, 18);
+    helper_float_20_recursive(buf + 524288, 18);
+    helper_float_20_recursive(buf + 786432, 18);
+    for (int j = 0; j < 1048576; j += 1048576) {
+      for (int k = 0; k < 262144; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovups %%ymm0, (%0)\n"
+          "vmovups %%ymm1, (%1)\n"
+          "vmovups %%ymm2, (%2)\n"
+          "vmovups %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_20(float *buf);
+void helper_float_20(float *buf) {
+  helper_float_20_recursive(buf, 20);
+}
+void helper_float_21_recursive(float *buf, int depth);
+void helper_float_21_recursive(float *buf, int depth) {
+  if (depth == 9) {
+    for (int j = 0; j < 512; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 512; j += 512) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 12) {
+    helper_float_21_recursive(buf + 0, 9);
+    helper_float_21_recursive(buf + 512, 9);
+    helper_float_21_recursive(buf + 1024, 9);
+    helper_float_21_recursive(buf + 1536, 9);
+    helper_float_21_recursive(buf + 2048, 9);
+    helper_float_21_recursive(buf + 2560, 9);
+    helper_float_21_recursive(buf + 3072, 9);
+    helper_float_21_recursive(buf + 3584, 9);
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 512; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_float_21_recursive(buf + 0, 12);
+    helper_float_21_recursive(buf + 4096, 12);
+    helper_float_21_recursive(buf + 8192, 12);
+    helper_float_21_recursive(buf + 12288, 12);
+    helper_float_21_recursive(buf + 16384, 12);
+    helper_float_21_recursive(buf + 20480, 12);
+    helper_float_21_recursive(buf + 24576, 12);
+    helper_float_21_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_float_21_recursive(buf + 0, 15);
+    helper_float_21_recursive(buf + 32768, 15);
+    helper_float_21_recursive(buf + 65536, 15);
+    helper_float_21_recursive(buf + 98304, 15);
+    helper_float_21_recursive(buf + 131072, 15);
+    helper_float_21_recursive(buf + 163840, 15);
+    helper_float_21_recursive(buf + 196608, 15);
+    helper_float_21_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_float_21_recursive(buf + 0, 18);
+    helper_float_21_recursive(buf + 262144, 18);
+    helper_float_21_recursive(buf + 524288, 18);
+    helper_float_21_recursive(buf + 786432, 18);
+    helper_float_21_recursive(buf + 1048576, 18);
+    helper_float_21_recursive(buf + 1310720, 18);
+    helper_float_21_recursive(buf + 1572864, 18);
+    helper_float_21_recursive(buf + 1835008, 18);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 262144; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1310720), "r"(buf + j + k + 1572864), "r"(buf + j + k + 1835008) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_21(float *buf);
+void helper_float_21(float *buf) {
+  helper_float_21_recursive(buf, 21);
+}
+void helper_float_22_recursive(float *buf, int depth);
+void helper_float_22_recursive(float *buf, int depth) {
+  if (depth == 11) {
+    for (int j = 0; j < 2048; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 512) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 512; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovups %%ymm0, (%0)\n"
+          "vmovups %%ymm1, (%1)\n"
+          "vmovups %%ymm2, (%2)\n"
+          "vmovups %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_float_22_recursive(buf + 0, 11);
+    helper_float_22_recursive(buf + 2048, 11);
+    helper_float_22_recursive(buf + 4096, 11);
+    helper_float_22_recursive(buf + 6144, 11);
+    helper_float_22_recursive(buf + 8192, 11);
+    helper_float_22_recursive(buf + 10240, 11);
+    helper_float_22_recursive(buf + 12288, 11);
+    helper_float_22_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_float_22_recursive(buf + 0, 14);
+    helper_float_22_recursive(buf + 16384, 14);
+    helper_float_22_recursive(buf + 32768, 14);
+    helper_float_22_recursive(buf + 49152, 14);
+    helper_float_22_recursive(buf + 65536, 14);
+    helper_float_22_recursive(buf + 81920, 14);
+    helper_float_22_recursive(buf + 98304, 14);
+    helper_float_22_recursive(buf + 114688, 14);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 16384; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152), "r"(buf + j + k + 65536), "r"(buf + j + k + 81920), "r"(buf + j + k + 98304), "r"(buf + j + k + 114688) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 20) {
+    helper_float_22_recursive(buf + 0, 17);
+    helper_float_22_recursive(buf + 131072, 17);
+    helper_float_22_recursive(buf + 262144, 17);
+    helper_float_22_recursive(buf + 393216, 17);
+    helper_float_22_recursive(buf + 524288, 17);
+    helper_float_22_recursive(buf + 655360, 17);
+    helper_float_22_recursive(buf + 786432, 17);
+    helper_float_22_recursive(buf + 917504, 17);
+    for (int j = 0; j < 1048576; j += 1048576) {
+      for (int k = 0; k < 131072; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 131072), "r"(buf + j + k + 262144), "r"(buf + j + k + 393216), "r"(buf + j + k + 524288), "r"(buf + j + k + 655360), "r"(buf + j + k + 786432), "r"(buf + j + k + 917504) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 22) {
+    helper_float_22_recursive(buf + 0, 20);
+    helper_float_22_recursive(buf + 1048576, 20);
+    helper_float_22_recursive(buf + 2097152, 20);
+    helper_float_22_recursive(buf + 3145728, 20);
+    for (int j = 0; j < 4194304; j += 4194304) {
+      for (int k = 0; k < 1048576; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovups %%ymm0, (%0)\n"
+          "vmovups %%ymm1, (%1)\n"
+          "vmovups %%ymm2, (%2)\n"
+          "vmovups %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1048576), "r"(buf + j + k + 2097152), "r"(buf + j + k + 3145728) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_22(float *buf);
+void helper_float_22(float *buf) {
+  helper_float_22_recursive(buf, 22);
+}
+void helper_float_23_recursive(float *buf, int depth);
+void helper_float_23_recursive(float *buf, int depth) {
+  if (depth == 9) {
+    for (int j = 0; j < 512; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 512; j += 512) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 12) {
+    helper_float_23_recursive(buf + 0, 9);
+    helper_float_23_recursive(buf + 512, 9);
+    helper_float_23_recursive(buf + 1024, 9);
+    helper_float_23_recursive(buf + 1536, 9);
+    helper_float_23_recursive(buf + 2048, 9);
+    helper_float_23_recursive(buf + 2560, 9);
+    helper_float_23_recursive(buf + 3072, 9);
+    helper_float_23_recursive(buf + 3584, 9);
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 512; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_float_23_recursive(buf + 0, 12);
+    helper_float_23_recursive(buf + 4096, 12);
+    helper_float_23_recursive(buf + 8192, 12);
+    helper_float_23_recursive(buf + 12288, 12);
+    helper_float_23_recursive(buf + 16384, 12);
+    helper_float_23_recursive(buf + 20480, 12);
+    helper_float_23_recursive(buf + 24576, 12);
+    helper_float_23_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_float_23_recursive(buf + 0, 15);
+    helper_float_23_recursive(buf + 32768, 15);
+    helper_float_23_recursive(buf + 65536, 15);
+    helper_float_23_recursive(buf + 98304, 15);
+    helper_float_23_recursive(buf + 131072, 15);
+    helper_float_23_recursive(buf + 163840, 15);
+    helper_float_23_recursive(buf + 196608, 15);
+    helper_float_23_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_float_23_recursive(buf + 0, 18);
+    helper_float_23_recursive(buf + 262144, 18);
+    helper_float_23_recursive(buf + 524288, 18);
+    helper_float_23_recursive(buf + 786432, 18);
+    helper_float_23_recursive(buf + 1048576, 18);
+    helper_float_23_recursive(buf + 1310720, 18);
+    helper_float_23_recursive(buf + 1572864, 18);
+    helper_float_23_recursive(buf + 1835008, 18);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 262144; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1310720), "r"(buf + j + k + 1572864), "r"(buf + j + k + 1835008) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 23) {
+    helper_float_23_recursive(buf + 0, 21);
+    helper_float_23_recursive(buf + 2097152, 21);
+    helper_float_23_recursive(buf + 4194304, 21);
+    helper_float_23_recursive(buf + 6291456, 21);
+    for (int j = 0; j < 8388608; j += 8388608) {
+      for (int k = 0; k < 2097152; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovups %%ymm0, (%0)\n"
+          "vmovups %%ymm1, (%1)\n"
+          "vmovups %%ymm2, (%2)\n"
+          "vmovups %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2097152), "r"(buf + j + k + 4194304), "r"(buf + j + k + 6291456) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_23(float *buf);
+void helper_float_23(float *buf) {
+  helper_float_23_recursive(buf, 23);
+}
+void helper_float_24_recursive(float *buf, int depth);
+void helper_float_24_recursive(float *buf, int depth) {
+  if (depth == 12) {
+    for (int j = 0; j < 4096; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 512) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 512; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_float_24_recursive(buf + 0, 12);
+    helper_float_24_recursive(buf + 4096, 12);
+    helper_float_24_recursive(buf + 8192, 12);
+    helper_float_24_recursive(buf + 12288, 12);
+    helper_float_24_recursive(buf + 16384, 12);
+    helper_float_24_recursive(buf + 20480, 12);
+    helper_float_24_recursive(buf + 24576, 12);
+    helper_float_24_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_float_24_recursive(buf + 0, 15);
+    helper_float_24_recursive(buf + 32768, 15);
+    helper_float_24_recursive(buf + 65536, 15);
+    helper_float_24_recursive(buf + 98304, 15);
+    helper_float_24_recursive(buf + 131072, 15);
+    helper_float_24_recursive(buf + 163840, 15);
+    helper_float_24_recursive(buf + 196608, 15);
+    helper_float_24_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_float_24_recursive(buf + 0, 18);
+    helper_float_24_recursive(buf + 262144, 18);
+    helper_float_24_recursive(buf + 524288, 18);
+    helper_float_24_recursive(buf + 786432, 18);
+    helper_float_24_recursive(buf + 1048576, 18);
+    helper_float_24_recursive(buf + 1310720, 18);
+    helper_float_24_recursive(buf + 1572864, 18);
+    helper_float_24_recursive(buf + 1835008, 18);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 262144; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1310720), "r"(buf + j + k + 1572864), "r"(buf + j + k + 1835008) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 24) {
+    helper_float_24_recursive(buf + 0, 21);
+    helper_float_24_recursive(buf + 2097152, 21);
+    helper_float_24_recursive(buf + 4194304, 21);
+    helper_float_24_recursive(buf + 6291456, 21);
+    helper_float_24_recursive(buf + 8388608, 21);
+    helper_float_24_recursive(buf + 10485760, 21);
+    helper_float_24_recursive(buf + 12582912, 21);
+    helper_float_24_recursive(buf + 14680064, 21);
+    for (int j = 0; j < 16777216; j += 16777216) {
+      for (int k = 0; k < 2097152; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2097152), "r"(buf + j + k + 4194304), "r"(buf + j + k + 6291456), "r"(buf + j + k + 8388608), "r"(buf + j + k + 10485760), "r"(buf + j + k + 12582912), "r"(buf + j + k + 14680064) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_24(float *buf);
+void helper_float_24(float *buf) {
+  helper_float_24_recursive(buf, 24);
+}
+void helper_float_25_recursive(float *buf, int depth);
+void helper_float_25_recursive(float *buf, int depth) {
+  if (depth == 7) {
+    for (int j = 0; j < 128; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 128; j += 128) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 10) {
+    helper_float_25_recursive(buf + 0, 7);
+    helper_float_25_recursive(buf + 128, 7);
+    helper_float_25_recursive(buf + 256, 7);
+    helper_float_25_recursive(buf + 384, 7);
+    helper_float_25_recursive(buf + 512, 7);
+    helper_float_25_recursive(buf + 640, 7);
+    helper_float_25_recursive(buf + 768, 7);
+    helper_float_25_recursive(buf + 896, 7);
+    for (int j = 0; j < 1024; j += 1024) {
+      for (int k = 0; k < 128; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 128), "r"(buf + j + k + 256), "r"(buf + j + k + 384), "r"(buf + j + k + 512), "r"(buf + j + k + 640), "r"(buf + j + k + 768), "r"(buf + j + k + 896) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 13) {
+    helper_float_25_recursive(buf + 0, 10);
+    helper_float_25_recursive(buf + 1024, 10);
+    helper_float_25_recursive(buf + 2048, 10);
+    helper_float_25_recursive(buf + 3072, 10);
+    helper_float_25_recursive(buf + 4096, 10);
+    helper_float_25_recursive(buf + 5120, 10);
+    helper_float_25_recursive(buf + 6144, 10);
+    helper_float_25_recursive(buf + 7168, 10);
+    for (int j = 0; j < 8192; j += 8192) {
+      for (int k = 0; k < 1024; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1024), "r"(buf + j + k + 2048), "r"(buf + j + k + 3072), "r"(buf + j + k + 4096), "r"(buf + j + k + 5120), "r"(buf + j + k + 6144), "r"(buf + j + k + 7168) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 16) {
+    helper_float_25_recursive(buf + 0, 13);
+    helper_float_25_recursive(buf + 8192, 13);
+    helper_float_25_recursive(buf + 16384, 13);
+    helper_float_25_recursive(buf + 24576, 13);
+    helper_float_25_recursive(buf + 32768, 13);
+    helper_float_25_recursive(buf + 40960, 13);
+    helper_float_25_recursive(buf + 49152, 13);
+    helper_float_25_recursive(buf + 57344, 13);
+    for (int j = 0; j < 65536; j += 65536) {
+      for (int k = 0; k < 8192; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8192), "r"(buf + j + k + 16384), "r"(buf + j + k + 24576), "r"(buf + j + k + 32768), "r"(buf + j + k + 40960), "r"(buf + j + k + 49152), "r"(buf + j + k + 57344) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 19) {
+    helper_float_25_recursive(buf + 0, 16);
+    helper_float_25_recursive(buf + 65536, 16);
+    helper_float_25_recursive(buf + 131072, 16);
+    helper_float_25_recursive(buf + 196608, 16);
+    helper_float_25_recursive(buf + 262144, 16);
+    helper_float_25_recursive(buf + 327680, 16);
+    helper_float_25_recursive(buf + 393216, 16);
+    helper_float_25_recursive(buf + 458752, 16);
+    for (int j = 0; j < 524288; j += 524288) {
+      for (int k = 0; k < 65536; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 65536), "r"(buf + j + k + 131072), "r"(buf + j + k + 196608), "r"(buf + j + k + 262144), "r"(buf + j + k + 327680), "r"(buf + j + k + 393216), "r"(buf + j + k + 458752) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 22) {
+    helper_float_25_recursive(buf + 0, 19);
+    helper_float_25_recursive(buf + 524288, 19);
+    helper_float_25_recursive(buf + 1048576, 19);
+    helper_float_25_recursive(buf + 1572864, 19);
+    helper_float_25_recursive(buf + 2097152, 19);
+    helper_float_25_recursive(buf + 2621440, 19);
+    helper_float_25_recursive(buf + 3145728, 19);
+    helper_float_25_recursive(buf + 3670016, 19);
+    for (int j = 0; j < 4194304; j += 4194304) {
+      for (int k = 0; k < 524288; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 524288), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1572864), "r"(buf + j + k + 2097152), "r"(buf + j + k + 2621440), "r"(buf + j + k + 3145728), "r"(buf + j + k + 3670016) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 25) {
+    helper_float_25_recursive(buf + 0, 22);
+    helper_float_25_recursive(buf + 4194304, 22);
+    helper_float_25_recursive(buf + 8388608, 22);
+    helper_float_25_recursive(buf + 12582912, 22);
+    helper_float_25_recursive(buf + 16777216, 22);
+    helper_float_25_recursive(buf + 20971520, 22);
+    helper_float_25_recursive(buf + 25165824, 22);
+    helper_float_25_recursive(buf + 29360128, 22);
+    for (int j = 0; j < 33554432; j += 33554432) {
+      for (int k = 0; k < 4194304; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4194304), "r"(buf + j + k + 8388608), "r"(buf + j + k + 12582912), "r"(buf + j + k + 16777216), "r"(buf + j + k + 20971520), "r"(buf + j + k + 25165824), "r"(buf + j + k + 29360128) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_25(float *buf);
+void helper_float_25(float *buf) {
+  helper_float_25_recursive(buf, 25);
+}
+void helper_float_26_recursive(float *buf, int depth);
+void helper_float_26_recursive(float *buf, int depth) {
+  if (depth == 12) {
+    for (int j = 0; j < 4096; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 512) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 512; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_float_26_recursive(buf + 0, 12);
+    helper_float_26_recursive(buf + 4096, 12);
+    helper_float_26_recursive(buf + 8192, 12);
+    helper_float_26_recursive(buf + 12288, 12);
+    helper_float_26_recursive(buf + 16384, 12);
+    helper_float_26_recursive(buf + 20480, 12);
+    helper_float_26_recursive(buf + 24576, 12);
+    helper_float_26_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_float_26_recursive(buf + 0, 15);
+    helper_float_26_recursive(buf + 32768, 15);
+    helper_float_26_recursive(buf + 65536, 15);
+    helper_float_26_recursive(buf + 98304, 15);
+    helper_float_26_recursive(buf + 131072, 15);
+    helper_float_26_recursive(buf + 163840, 15);
+    helper_float_26_recursive(buf + 196608, 15);
+    helper_float_26_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_float_26_recursive(buf + 0, 18);
+    helper_float_26_recursive(buf + 262144, 18);
+    helper_float_26_recursive(buf + 524288, 18);
+    helper_float_26_recursive(buf + 786432, 18);
+    helper_float_26_recursive(buf + 1048576, 18);
+    helper_float_26_recursive(buf + 1310720, 18);
+    helper_float_26_recursive(buf + 1572864, 18);
+    helper_float_26_recursive(buf + 1835008, 18);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 262144; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1310720), "r"(buf + j + k + 1572864), "r"(buf + j + k + 1835008) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 24) {
+    helper_float_26_recursive(buf + 0, 21);
+    helper_float_26_recursive(buf + 2097152, 21);
+    helper_float_26_recursive(buf + 4194304, 21);
+    helper_float_26_recursive(buf + 6291456, 21);
+    helper_float_26_recursive(buf + 8388608, 21);
+    helper_float_26_recursive(buf + 10485760, 21);
+    helper_float_26_recursive(buf + 12582912, 21);
+    helper_float_26_recursive(buf + 14680064, 21);
+    for (int j = 0; j < 16777216; j += 16777216) {
+      for (int k = 0; k < 2097152; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2097152), "r"(buf + j + k + 4194304), "r"(buf + j + k + 6291456), "r"(buf + j + k + 8388608), "r"(buf + j + k + 10485760), "r"(buf + j + k + 12582912), "r"(buf + j + k + 14680064) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 26) {
+    helper_float_26_recursive(buf + 0, 24);
+    helper_float_26_recursive(buf + 16777216, 24);
+    helper_float_26_recursive(buf + 33554432, 24);
+    helper_float_26_recursive(buf + 50331648, 24);
+    for (int j = 0; j < 67108864; j += 67108864) {
+      for (int k = 0; k < 16777216; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovups %%ymm0, (%0)\n"
+          "vmovups %%ymm1, (%1)\n"
+          "vmovups %%ymm2, (%2)\n"
+          "vmovups %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16777216), "r"(buf + j + k + 33554432), "r"(buf + j + k + 50331648) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_26(float *buf);
+void helper_float_26(float *buf) {
+  helper_float_26_recursive(buf, 26);
+}
+void helper_float_27_recursive(float *buf, int depth);
+void helper_float_27_recursive(float *buf, int depth) {
+  if (depth == 12) {
+    for (int j = 0; j < 4096; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 512) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 512; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_float_27_recursive(buf + 0, 12);
+    helper_float_27_recursive(buf + 4096, 12);
+    helper_float_27_recursive(buf + 8192, 12);
+    helper_float_27_recursive(buf + 12288, 12);
+    helper_float_27_recursive(buf + 16384, 12);
+    helper_float_27_recursive(buf + 20480, 12);
+    helper_float_27_recursive(buf + 24576, 12);
+    helper_float_27_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_float_27_recursive(buf + 0, 15);
+    helper_float_27_recursive(buf + 32768, 15);
+    helper_float_27_recursive(buf + 65536, 15);
+    helper_float_27_recursive(buf + 98304, 15);
+    helper_float_27_recursive(buf + 131072, 15);
+    helper_float_27_recursive(buf + 163840, 15);
+    helper_float_27_recursive(buf + 196608, 15);
+    helper_float_27_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_float_27_recursive(buf + 0, 18);
+    helper_float_27_recursive(buf + 262144, 18);
+    helper_float_27_recursive(buf + 524288, 18);
+    helper_float_27_recursive(buf + 786432, 18);
+    helper_float_27_recursive(buf + 1048576, 18);
+    helper_float_27_recursive(buf + 1310720, 18);
+    helper_float_27_recursive(buf + 1572864, 18);
+    helper_float_27_recursive(buf + 1835008, 18);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 262144; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1310720), "r"(buf + j + k + 1572864), "r"(buf + j + k + 1835008) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 24) {
+    helper_float_27_recursive(buf + 0, 21);
+    helper_float_27_recursive(buf + 2097152, 21);
+    helper_float_27_recursive(buf + 4194304, 21);
+    helper_float_27_recursive(buf + 6291456, 21);
+    helper_float_27_recursive(buf + 8388608, 21);
+    helper_float_27_recursive(buf + 10485760, 21);
+    helper_float_27_recursive(buf + 12582912, 21);
+    helper_float_27_recursive(buf + 14680064, 21);
+    for (int j = 0; j < 16777216; j += 16777216) {
+      for (int k = 0; k < 2097152; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2097152), "r"(buf + j + k + 4194304), "r"(buf + j + k + 6291456), "r"(buf + j + k + 8388608), "r"(buf + j + k + 10485760), "r"(buf + j + k + 12582912), "r"(buf + j + k + 14680064) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 27) {
+    helper_float_27_recursive(buf + 0, 24);
+    helper_float_27_recursive(buf + 16777216, 24);
+    helper_float_27_recursive(buf + 33554432, 24);
+    helper_float_27_recursive(buf + 50331648, 24);
+    helper_float_27_recursive(buf + 67108864, 24);
+    helper_float_27_recursive(buf + 83886080, 24);
+    helper_float_27_recursive(buf + 100663296, 24);
+    helper_float_27_recursive(buf + 117440512, 24);
+    for (int j = 0; j < 134217728; j += 134217728) {
+      for (int k = 0; k < 16777216; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16777216), "r"(buf + j + k + 33554432), "r"(buf + j + k + 50331648), "r"(buf + j + k + 67108864), "r"(buf + j + k + 83886080), "r"(buf + j + k + 100663296), "r"(buf + j + k + 117440512) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_27(float *buf);
+void helper_float_27(float *buf) {
+  helper_float_27_recursive(buf, 27);
+}
+void helper_float_28_recursive(float *buf, int depth);
+void helper_float_28_recursive(float *buf, int depth) {
+  if (depth == 7) {
+    for (int j = 0; j < 128; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 128; j += 128) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 10) {
+    helper_float_28_recursive(buf + 0, 7);
+    helper_float_28_recursive(buf + 128, 7);
+    helper_float_28_recursive(buf + 256, 7);
+    helper_float_28_recursive(buf + 384, 7);
+    helper_float_28_recursive(buf + 512, 7);
+    helper_float_28_recursive(buf + 640, 7);
+    helper_float_28_recursive(buf + 768, 7);
+    helper_float_28_recursive(buf + 896, 7);
+    for (int j = 0; j < 1024; j += 1024) {
+      for (int k = 0; k < 128; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 128), "r"(buf + j + k + 256), "r"(buf + j + k + 384), "r"(buf + j + k + 512), "r"(buf + j + k + 640), "r"(buf + j + k + 768), "r"(buf + j + k + 896) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 13) {
+    helper_float_28_recursive(buf + 0, 10);
+    helper_float_28_recursive(buf + 1024, 10);
+    helper_float_28_recursive(buf + 2048, 10);
+    helper_float_28_recursive(buf + 3072, 10);
+    helper_float_28_recursive(buf + 4096, 10);
+    helper_float_28_recursive(buf + 5120, 10);
+    helper_float_28_recursive(buf + 6144, 10);
+    helper_float_28_recursive(buf + 7168, 10);
+    for (int j = 0; j < 8192; j += 8192) {
+      for (int k = 0; k < 1024; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1024), "r"(buf + j + k + 2048), "r"(buf + j + k + 3072), "r"(buf + j + k + 4096), "r"(buf + j + k + 5120), "r"(buf + j + k + 6144), "r"(buf + j + k + 7168) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 16) {
+    helper_float_28_recursive(buf + 0, 13);
+    helper_float_28_recursive(buf + 8192, 13);
+    helper_float_28_recursive(buf + 16384, 13);
+    helper_float_28_recursive(buf + 24576, 13);
+    helper_float_28_recursive(buf + 32768, 13);
+    helper_float_28_recursive(buf + 40960, 13);
+    helper_float_28_recursive(buf + 49152, 13);
+    helper_float_28_recursive(buf + 57344, 13);
+    for (int j = 0; j < 65536; j += 65536) {
+      for (int k = 0; k < 8192; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8192), "r"(buf + j + k + 16384), "r"(buf + j + k + 24576), "r"(buf + j + k + 32768), "r"(buf + j + k + 40960), "r"(buf + j + k + 49152), "r"(buf + j + k + 57344) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 19) {
+    helper_float_28_recursive(buf + 0, 16);
+    helper_float_28_recursive(buf + 65536, 16);
+    helper_float_28_recursive(buf + 131072, 16);
+    helper_float_28_recursive(buf + 196608, 16);
+    helper_float_28_recursive(buf + 262144, 16);
+    helper_float_28_recursive(buf + 327680, 16);
+    helper_float_28_recursive(buf + 393216, 16);
+    helper_float_28_recursive(buf + 458752, 16);
+    for (int j = 0; j < 524288; j += 524288) {
+      for (int k = 0; k < 65536; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 65536), "r"(buf + j + k + 131072), "r"(buf + j + k + 196608), "r"(buf + j + k + 262144), "r"(buf + j + k + 327680), "r"(buf + j + k + 393216), "r"(buf + j + k + 458752) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 22) {
+    helper_float_28_recursive(buf + 0, 19);
+    helper_float_28_recursive(buf + 524288, 19);
+    helper_float_28_recursive(buf + 1048576, 19);
+    helper_float_28_recursive(buf + 1572864, 19);
+    helper_float_28_recursive(buf + 2097152, 19);
+    helper_float_28_recursive(buf + 2621440, 19);
+    helper_float_28_recursive(buf + 3145728, 19);
+    helper_float_28_recursive(buf + 3670016, 19);
+    for (int j = 0; j < 4194304; j += 4194304) {
+      for (int k = 0; k < 524288; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 524288), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1572864), "r"(buf + j + k + 2097152), "r"(buf + j + k + 2621440), "r"(buf + j + k + 3145728), "r"(buf + j + k + 3670016) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 25) {
+    helper_float_28_recursive(buf + 0, 22);
+    helper_float_28_recursive(buf + 4194304, 22);
+    helper_float_28_recursive(buf + 8388608, 22);
+    helper_float_28_recursive(buf + 12582912, 22);
+    helper_float_28_recursive(buf + 16777216, 22);
+    helper_float_28_recursive(buf + 20971520, 22);
+    helper_float_28_recursive(buf + 25165824, 22);
+    helper_float_28_recursive(buf + 29360128, 22);
+    for (int j = 0; j < 33554432; j += 33554432) {
+      for (int k = 0; k < 4194304; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4194304), "r"(buf + j + k + 8388608), "r"(buf + j + k + 12582912), "r"(buf + j + k + 16777216), "r"(buf + j + k + 20971520), "r"(buf + j + k + 25165824), "r"(buf + j + k + 29360128) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 28) {
+    helper_float_28_recursive(buf + 0, 25);
+    helper_float_28_recursive(buf + 33554432, 25);
+    helper_float_28_recursive(buf + 67108864, 25);
+    helper_float_28_recursive(buf + 100663296, 25);
+    helper_float_28_recursive(buf + 134217728, 25);
+    helper_float_28_recursive(buf + 167772160, 25);
+    helper_float_28_recursive(buf + 201326592, 25);
+    helper_float_28_recursive(buf + 234881024, 25);
+    for (int j = 0; j < 268435456; j += 268435456) {
+      for (int k = 0; k < 33554432; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 33554432), "r"(buf + j + k + 67108864), "r"(buf + j + k + 100663296), "r"(buf + j + k + 134217728), "r"(buf + j + k + 167772160), "r"(buf + j + k + 201326592), "r"(buf + j + k + 234881024) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_28(float *buf);
+void helper_float_28(float *buf) {
+  helper_float_28_recursive(buf, 28);
+}
+void helper_float_29_recursive(float *buf, int depth);
+void helper_float_29_recursive(float *buf, int depth) {
+  if (depth == 12) {
+    for (int j = 0; j < 4096; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 512) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 512; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_float_29_recursive(buf + 0, 12);
+    helper_float_29_recursive(buf + 4096, 12);
+    helper_float_29_recursive(buf + 8192, 12);
+    helper_float_29_recursive(buf + 12288, 12);
+    helper_float_29_recursive(buf + 16384, 12);
+    helper_float_29_recursive(buf + 20480, 12);
+    helper_float_29_recursive(buf + 24576, 12);
+    helper_float_29_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_float_29_recursive(buf + 0, 15);
+    helper_float_29_recursive(buf + 32768, 15);
+    helper_float_29_recursive(buf + 65536, 15);
+    helper_float_29_recursive(buf + 98304, 15);
+    helper_float_29_recursive(buf + 131072, 15);
+    helper_float_29_recursive(buf + 163840, 15);
+    helper_float_29_recursive(buf + 196608, 15);
+    helper_float_29_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_float_29_recursive(buf + 0, 18);
+    helper_float_29_recursive(buf + 262144, 18);
+    helper_float_29_recursive(buf + 524288, 18);
+    helper_float_29_recursive(buf + 786432, 18);
+    helper_float_29_recursive(buf + 1048576, 18);
+    helper_float_29_recursive(buf + 1310720, 18);
+    helper_float_29_recursive(buf + 1572864, 18);
+    helper_float_29_recursive(buf + 1835008, 18);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 262144; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1310720), "r"(buf + j + k + 1572864), "r"(buf + j + k + 1835008) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 24) {
+    helper_float_29_recursive(buf + 0, 21);
+    helper_float_29_recursive(buf + 2097152, 21);
+    helper_float_29_recursive(buf + 4194304, 21);
+    helper_float_29_recursive(buf + 6291456, 21);
+    helper_float_29_recursive(buf + 8388608, 21);
+    helper_float_29_recursive(buf + 10485760, 21);
+    helper_float_29_recursive(buf + 12582912, 21);
+    helper_float_29_recursive(buf + 14680064, 21);
+    for (int j = 0; j < 16777216; j += 16777216) {
+      for (int k = 0; k < 2097152; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2097152), "r"(buf + j + k + 4194304), "r"(buf + j + k + 6291456), "r"(buf + j + k + 8388608), "r"(buf + j + k + 10485760), "r"(buf + j + k + 12582912), "r"(buf + j + k + 14680064) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 27) {
+    helper_float_29_recursive(buf + 0, 24);
+    helper_float_29_recursive(buf + 16777216, 24);
+    helper_float_29_recursive(buf + 33554432, 24);
+    helper_float_29_recursive(buf + 50331648, 24);
+    helper_float_29_recursive(buf + 67108864, 24);
+    helper_float_29_recursive(buf + 83886080, 24);
+    helper_float_29_recursive(buf + 100663296, 24);
+    helper_float_29_recursive(buf + 117440512, 24);
+    for (int j = 0; j < 134217728; j += 134217728) {
+      for (int k = 0; k < 16777216; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16777216), "r"(buf + j + k + 33554432), "r"(buf + j + k + 50331648), "r"(buf + j + k + 67108864), "r"(buf + j + k + 83886080), "r"(buf + j + k + 100663296), "r"(buf + j + k + 117440512) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 29) {
+    helper_float_29_recursive(buf + 0, 27);
+    helper_float_29_recursive(buf + 134217728, 27);
+    helper_float_29_recursive(buf + 268435456, 27);
+    helper_float_29_recursive(buf + 402653184, 27);
+    for (int j = 0; j < 536870912; j += 536870912) {
+      for (int k = 0; k < 134217728; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovups %%ymm0, (%0)\n"
+          "vmovups %%ymm1, (%1)\n"
+          "vmovups %%ymm2, (%2)\n"
+          "vmovups %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 134217728), "r"(buf + j + k + 268435456), "r"(buf + j + k + 402653184) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_29(float *buf);
+void helper_float_29(float *buf) {
+  helper_float_29_recursive(buf, 29);
+}
+void helper_float_30_recursive(float *buf, int depth);
+void helper_float_30_recursive(float *buf, int depth) {
+  if (depth == 6) {
+    for (int j = 0; j < 64; j += 64) {
+      for (int k = 0; k < 8; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vpermilps $160, %%ymm0, %%ymm8\n"
+          "vpermilps $245, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilps $160, %%ymm1, %%ymm8\n"
+          "vpermilps $245, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilps $160, %%ymm2, %%ymm8\n"
+          "vpermilps $245, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilps $160, %%ymm3, %%ymm8\n"
+          "vpermilps $245, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilps $160, %%ymm4, %%ymm8\n"
+          "vpermilps $245, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilps $160, %%ymm5, %%ymm8\n"
+          "vpermilps $245, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilps $160, %%ymm6, %%ymm8\n"
+          "vpermilps $245, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilps $160, %%ymm7, %%ymm8\n"
+          "vpermilps $245, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubps %%ymm11, %%ymm8, %%ymm7\n"
+          "vpermilps $68, %%ymm0, %%ymm8\n"
+          "vpermilps $238, %%ymm0, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm0\n"
+          "vpermilps $68, %%ymm1, %%ymm8\n"
+          "vpermilps $238, %%ymm1, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm1\n"
+          "vpermilps $68, %%ymm2, %%ymm8\n"
+          "vpermilps $238, %%ymm2, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm2\n"
+          "vpermilps $68, %%ymm3, %%ymm8\n"
+          "vpermilps $238, %%ymm3, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm3\n"
+          "vpermilps $68, %%ymm4, %%ymm8\n"
+          "vpermilps $238, %%ymm4, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm4\n"
+          "vpermilps $68, %%ymm5, %%ymm8\n"
+          "vpermilps $238, %%ymm5, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm5\n"
+          "vpermilps $68, %%ymm6, %%ymm8\n"
+          "vpermilps $238, %%ymm6, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm6\n"
+          "vpermilps $68, %%ymm7, %%ymm8\n"
+          "vpermilps $238, %%ymm7, %%ymm9\n"
+          "vxorps %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubps %%ymm9, %%ymm10, %%ymm11\n"
+          "vblendps $204, %%ymm11, %%ymm9, %%ymm12\n"
+          "vaddps %%ymm8, %%ymm12, %%ymm7\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm0, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm0, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm0\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm1, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm1\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm2, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm2\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm3, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm3, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm3\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm4, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm4\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm5, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm5, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm5\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm6, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm6, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm6\n"
+          "vxorps %%ymm8, %%ymm8, %%ymm8\n"
+          "vsubps %%ymm7, %%ymm8, %%ymm9\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm10\n"
+          "vperm2f128 $49, %%ymm9, %%ymm7, %%ymm11\n"
+          "vaddps %%ymm10, %%ymm11, %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 9) {
+    helper_float_30_recursive(buf + 0, 6);
+    helper_float_30_recursive(buf + 64, 6);
+    helper_float_30_recursive(buf + 128, 6);
+    helper_float_30_recursive(buf + 192, 6);
+    helper_float_30_recursive(buf + 256, 6);
+    helper_float_30_recursive(buf + 320, 6);
+    helper_float_30_recursive(buf + 384, 6);
+    helper_float_30_recursive(buf + 448, 6);
+    for (int j = 0; j < 512; j += 512) {
+      for (int k = 0; k < 64; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 12) {
+    helper_float_30_recursive(buf + 0, 9);
+    helper_float_30_recursive(buf + 512, 9);
+    helper_float_30_recursive(buf + 1024, 9);
+    helper_float_30_recursive(buf + 1536, 9);
+    helper_float_30_recursive(buf + 2048, 9);
+    helper_float_30_recursive(buf + 2560, 9);
+    helper_float_30_recursive(buf + 3072, 9);
+    helper_float_30_recursive(buf + 3584, 9);
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 512; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_float_30_recursive(buf + 0, 12);
+    helper_float_30_recursive(buf + 4096, 12);
+    helper_float_30_recursive(buf + 8192, 12);
+    helper_float_30_recursive(buf + 12288, 12);
+    helper_float_30_recursive(buf + 16384, 12);
+    helper_float_30_recursive(buf + 20480, 12);
+    helper_float_30_recursive(buf + 24576, 12);
+    helper_float_30_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_float_30_recursive(buf + 0, 15);
+    helper_float_30_recursive(buf + 32768, 15);
+    helper_float_30_recursive(buf + 65536, 15);
+    helper_float_30_recursive(buf + 98304, 15);
+    helper_float_30_recursive(buf + 131072, 15);
+    helper_float_30_recursive(buf + 163840, 15);
+    helper_float_30_recursive(buf + 196608, 15);
+    helper_float_30_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_float_30_recursive(buf + 0, 18);
+    helper_float_30_recursive(buf + 262144, 18);
+    helper_float_30_recursive(buf + 524288, 18);
+    helper_float_30_recursive(buf + 786432, 18);
+    helper_float_30_recursive(buf + 1048576, 18);
+    helper_float_30_recursive(buf + 1310720, 18);
+    helper_float_30_recursive(buf + 1572864, 18);
+    helper_float_30_recursive(buf + 1835008, 18);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 262144; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1310720), "r"(buf + j + k + 1572864), "r"(buf + j + k + 1835008) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 24) {
+    helper_float_30_recursive(buf + 0, 21);
+    helper_float_30_recursive(buf + 2097152, 21);
+    helper_float_30_recursive(buf + 4194304, 21);
+    helper_float_30_recursive(buf + 6291456, 21);
+    helper_float_30_recursive(buf + 8388608, 21);
+    helper_float_30_recursive(buf + 10485760, 21);
+    helper_float_30_recursive(buf + 12582912, 21);
+    helper_float_30_recursive(buf + 14680064, 21);
+    for (int j = 0; j < 16777216; j += 16777216) {
+      for (int k = 0; k < 2097152; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2097152), "r"(buf + j + k + 4194304), "r"(buf + j + k + 6291456), "r"(buf + j + k + 8388608), "r"(buf + j + k + 10485760), "r"(buf + j + k + 12582912), "r"(buf + j + k + 14680064) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 27) {
+    helper_float_30_recursive(buf + 0, 24);
+    helper_float_30_recursive(buf + 16777216, 24);
+    helper_float_30_recursive(buf + 33554432, 24);
+    helper_float_30_recursive(buf + 50331648, 24);
+    helper_float_30_recursive(buf + 67108864, 24);
+    helper_float_30_recursive(buf + 83886080, 24);
+    helper_float_30_recursive(buf + 100663296, 24);
+    helper_float_30_recursive(buf + 117440512, 24);
+    for (int j = 0; j < 134217728; j += 134217728) {
+      for (int k = 0; k < 16777216; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16777216), "r"(buf + j + k + 33554432), "r"(buf + j + k + 50331648), "r"(buf + j + k + 67108864), "r"(buf + j + k + 83886080), "r"(buf + j + k + 100663296), "r"(buf + j + k + 117440512) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 30) {
+    helper_float_30_recursive(buf + 0, 27);
+    helper_float_30_recursive(buf + 134217728, 27);
+    helper_float_30_recursive(buf + 268435456, 27);
+    helper_float_30_recursive(buf + 402653184, 27);
+    helper_float_30_recursive(buf + 536870912, 27);
+    helper_float_30_recursive(buf + 671088640, 27);
+    helper_float_30_recursive(buf + 805306368, 27);
+    helper_float_30_recursive(buf + 939524096, 27);
+    for (int j = 0; j < 1073741824; j += 1073741824) {
+      for (int k = 0; k < 134217728; k += 8) {
+        __asm__ volatile (
+          "vmovups (%0), %%ymm0\n"
+          "vmovups (%1), %%ymm1\n"
+          "vmovups (%2), %%ymm2\n"
+          "vmovups (%3), %%ymm3\n"
+          "vmovups (%4), %%ymm4\n"
+          "vmovups (%5), %%ymm5\n"
+          "vmovups (%6), %%ymm6\n"
+          "vmovups (%7), %%ymm7\n"
+          "vaddps %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddps %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddps %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubps %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddps %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubps %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddps %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubps %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddps %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubps %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddps %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubps %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddps %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubps %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddps %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubps %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddps %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubps %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddps %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubps %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddps %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubps %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovups %%ymm8, (%0)\n"
+          "vmovups %%ymm9, (%1)\n"
+          "vmovups %%ymm10, (%2)\n"
+          "vmovups %%ymm11, (%3)\n"
+          "vmovups %%ymm12, (%4)\n"
+          "vmovups %%ymm13, (%5)\n"
+          "vmovups %%ymm14, (%6)\n"
+          "vmovups %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 134217728), "r"(buf + j + k + 268435456), "r"(buf + j + k + 402653184), "r"(buf + j + k + 536870912), "r"(buf + j + k + 671088640), "r"(buf + j + k + 805306368), "r"(buf + j + k + 939524096) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_30(float *buf);
+void helper_float_30(float *buf) {
+  helper_float_30_recursive(buf, 30);
+}
+int fht_float(float *buf, int log_n) {
+  if (log_n == 0) {
+    return 0;
+  }
+  if (log_n == 1) {
+    helper_float_1(buf);
+    return 0;
+  }
+  if (log_n == 2) {
+    helper_float_2(buf);
+    return 0;
+  }
+  if (log_n == 3) {
+    helper_float_3(buf);
+    return 0;
+  }
+  if (log_n == 4) {
+    helper_float_4(buf);
+    return 0;
+  }
+  if (log_n == 5) {
+    helper_float_5(buf);
+    return 0;
+  }
+  if (log_n == 6) {
+    helper_float_6(buf);
+    return 0;
+  }
+  if (log_n == 7) {
+    helper_float_7(buf);
+    return 0;
+  }
+  if (log_n == 8) {
+    helper_float_8(buf);
+    return 0;
+  }
+  if (log_n == 9) {
+    helper_float_9(buf);
+    return 0;
+  }
+  if (log_n == 10) {
+    helper_float_10(buf);
+    return 0;
+  }
+  if (log_n == 11) {
+    helper_float_11(buf);
+    return 0;
+  }
+  if (log_n == 12) {
+    helper_float_12(buf);
+    return 0;
+  }
+  if (log_n == 13) {
+    helper_float_13(buf);
+    return 0;
+  }
+  if (log_n == 14) {
+    helper_float_14(buf);
+    return 0;
+  }
+  if (log_n == 15) {
+    helper_float_15(buf);
+    return 0;
+  }
+  if (log_n == 16) {
+    helper_float_16(buf);
+    return 0;
+  }
+  if (log_n == 17) {
+    helper_float_17(buf);
+    return 0;
+  }
+  if (log_n == 18) {
+    helper_float_18(buf);
+    return 0;
+  }
+  if (log_n == 19) {
+    helper_float_19(buf);
+    return 0;
+  }
+  if (log_n == 20) {
+    helper_float_20(buf);
+    return 0;
+  }
+  if (log_n == 21) {
+    helper_float_21(buf);
+    return 0;
+  }
+  if (log_n == 22) {
+    helper_float_22(buf);
+    return 0;
+  }
+  if (log_n == 23) {
+    helper_float_23(buf);
+    return 0;
+  }
+  if (log_n == 24) {
+    helper_float_24(buf);
+    return 0;
+  }
+  if (log_n == 25) {
+    helper_float_25(buf);
+    return 0;
+  }
+  if (log_n == 26) {
+    helper_float_26(buf);
+    return 0;
+  }
+  if (log_n == 27) {
+    helper_float_27(buf);
+    return 0;
+  }
+  if (log_n == 28) {
+    helper_float_28(buf);
+    return 0;
+  }
+  if (log_n == 29) {
+    helper_float_29(buf);
+    return 0;
+  }
+  if (log_n == 30) {
+    helper_float_30(buf);
+    return 0;
+  }
+  return 1;
+}
+static inline void helper_double_1(double *buf);
+static inline void helper_double_1(double *buf) {
+  for (int j = 0; j < 2; j += 2) {
+    for (int k = 0; k < 1; ++k) {
+      double u = buf[j + k];
+      double v = buf[j + k + 1];
+      buf[j + k] = u + v;
+      buf[j + k + 1] = u - v;
+    }
+  }
+}
+static inline void helper_double_2(double *buf);
+static inline void helper_double_2(double *buf) {
+  for (int j = 0; j < 4; j += 4) {
+    __asm__ volatile (
+      "vmovupd (%0), %%ymm0\n"
+      "vpermilpd $0, %%ymm0, %%ymm8\n"
+      "vpermilpd $15, %%ymm0, %%ymm9\n"
+      "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+      "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+      "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+      "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+      "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+      "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+      "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+      "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+      "vmovupd %%ymm0, (%0)\n"
+      :: "r"(buf + j) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+    );
+  }
+}
+static inline void helper_double_3(double *buf);
+static inline void helper_double_3(double *buf) {
+  for (int j = 0; j < 8; j += 8) {
+    for (int k = 0; k < 4; k += 4) {
+      __asm__ volatile (
+        "vmovupd (%0), %%ymm0\n"
+        "vmovupd (%1), %%ymm1\n"
+        "vpermilpd $0, %%ymm0, %%ymm8\n"
+        "vpermilpd $15, %%ymm0, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+        "vpermilpd $0, %%ymm1, %%ymm8\n"
+        "vpermilpd $15, %%ymm1, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+        "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+        "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+        "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+        "vmovupd %%ymm8, (%0)\n"
+        "vmovupd %%ymm9, (%1)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 4) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+}
+void helper_double_4_recursive(double *buf, int depth);
+void helper_double_4_recursive(double *buf, int depth) {
+  if (depth == 4) {
+    for (int j = 0; j < 16; j += 16) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovupd %%ymm0, (%0)\n"
+          "vmovupd %%ymm1, (%1)\n"
+          "vmovupd %%ymm2, (%2)\n"
+          "vmovupd %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_4(double *buf);
+void helper_double_4(double *buf) {
+  helper_double_4_recursive(buf, 4);
+}
+static inline void helper_double_5(double *buf);
+static inline void helper_double_5(double *buf) {
+  for (int j = 0; j < 32; j += 32) {
+    for (int k = 0; k < 4; k += 4) {
+      __asm__ volatile (
+        "vmovupd (%0), %%ymm0\n"
+        "vmovupd (%1), %%ymm1\n"
+        "vmovupd (%2), %%ymm2\n"
+        "vmovupd (%3), %%ymm3\n"
+        "vmovupd (%4), %%ymm4\n"
+        "vmovupd (%5), %%ymm5\n"
+        "vmovupd (%6), %%ymm6\n"
+        "vmovupd (%7), %%ymm7\n"
+        "vpermilpd $0, %%ymm0, %%ymm8\n"
+        "vpermilpd $15, %%ymm0, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+        "vpermilpd $0, %%ymm1, %%ymm8\n"
+        "vpermilpd $15, %%ymm1, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+        "vpermilpd $0, %%ymm2, %%ymm8\n"
+        "vpermilpd $15, %%ymm2, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+        "vpermilpd $0, %%ymm3, %%ymm8\n"
+        "vpermilpd $15, %%ymm3, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+        "vpermilpd $0, %%ymm4, %%ymm8\n"
+        "vpermilpd $15, %%ymm4, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+        "vpermilpd $0, %%ymm5, %%ymm8\n"
+        "vpermilpd $15, %%ymm5, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+        "vpermilpd $0, %%ymm6, %%ymm8\n"
+        "vpermilpd $15, %%ymm6, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+        "vpermilpd $0, %%ymm7, %%ymm8\n"
+        "vpermilpd $15, %%ymm7, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+        "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+        "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+        "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+        "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+        "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+        "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+        "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+        "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+        "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+        "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+        "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+        "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+        "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+        "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+        "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+        "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+        "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+        "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+        "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+        "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+        "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+        "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+        "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+        "vmovupd %%ymm8, (%0)\n"
+        "vmovupd %%ymm9, (%1)\n"
+        "vmovupd %%ymm10, (%2)\n"
+        "vmovupd %%ymm11, (%3)\n"
+        "vmovupd %%ymm12, (%4)\n"
+        "vmovupd %%ymm13, (%5)\n"
+        "vmovupd %%ymm14, (%6)\n"
+        "vmovupd %%ymm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+}
+static inline void helper_double_6(double *buf);
+static inline void helper_double_6(double *buf) {
+  for (int j = 0; j < 64; j += 32) {
+    for (int k = 0; k < 4; k += 4) {
+      __asm__ volatile (
+        "vmovupd (%0), %%ymm0\n"
+        "vmovupd (%1), %%ymm1\n"
+        "vmovupd (%2), %%ymm2\n"
+        "vmovupd (%3), %%ymm3\n"
+        "vmovupd (%4), %%ymm4\n"
+        "vmovupd (%5), %%ymm5\n"
+        "vmovupd (%6), %%ymm6\n"
+        "vmovupd (%7), %%ymm7\n"
+        "vpermilpd $0, %%ymm0, %%ymm8\n"
+        "vpermilpd $15, %%ymm0, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+        "vpermilpd $0, %%ymm1, %%ymm8\n"
+        "vpermilpd $15, %%ymm1, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+        "vpermilpd $0, %%ymm2, %%ymm8\n"
+        "vpermilpd $15, %%ymm2, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+        "vpermilpd $0, %%ymm3, %%ymm8\n"
+        "vpermilpd $15, %%ymm3, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+        "vpermilpd $0, %%ymm4, %%ymm8\n"
+        "vpermilpd $15, %%ymm4, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+        "vpermilpd $0, %%ymm5, %%ymm8\n"
+        "vpermilpd $15, %%ymm5, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+        "vpermilpd $0, %%ymm6, %%ymm8\n"
+        "vpermilpd $15, %%ymm6, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+        "vpermilpd $0, %%ymm7, %%ymm8\n"
+        "vpermilpd $15, %%ymm7, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+        "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+        "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+        "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+        "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+        "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+        "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+        "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+        "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+        "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+        "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+        "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+        "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+        "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+        "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+        "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+        "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+        "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+        "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+        "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+        "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+        "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+        "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+        "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+        "vmovupd %%ymm8, (%0)\n"
+        "vmovupd %%ymm9, (%1)\n"
+        "vmovupd %%ymm10, (%2)\n"
+        "vmovupd %%ymm11, (%3)\n"
+        "vmovupd %%ymm12, (%4)\n"
+        "vmovupd %%ymm13, (%5)\n"
+        "vmovupd %%ymm14, (%6)\n"
+        "vmovupd %%ymm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 64; j += 64) {
+    for (int k = 0; k < 32; k += 4) {
+      __asm__ volatile (
+        "vmovupd (%0), %%ymm0\n"
+        "vmovupd (%1), %%ymm1\n"
+        "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+        "vmovupd %%ymm8, (%0)\n"
+        "vmovupd %%ymm9, (%1)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 32) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+}
+static inline void helper_double_7(double *buf);
+static inline void helper_double_7(double *buf) {
+  for (int j = 0; j < 128; j += 32) {
+    for (int k = 0; k < 4; k += 4) {
+      __asm__ volatile (
+        "vmovupd (%0), %%ymm0\n"
+        "vmovupd (%1), %%ymm1\n"
+        "vmovupd (%2), %%ymm2\n"
+        "vmovupd (%3), %%ymm3\n"
+        "vmovupd (%4), %%ymm4\n"
+        "vmovupd (%5), %%ymm5\n"
+        "vmovupd (%6), %%ymm6\n"
+        "vmovupd (%7), %%ymm7\n"
+        "vpermilpd $0, %%ymm0, %%ymm8\n"
+        "vpermilpd $15, %%ymm0, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+        "vpermilpd $0, %%ymm1, %%ymm8\n"
+        "vpermilpd $15, %%ymm1, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+        "vpermilpd $0, %%ymm2, %%ymm8\n"
+        "vpermilpd $15, %%ymm2, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+        "vpermilpd $0, %%ymm3, %%ymm8\n"
+        "vpermilpd $15, %%ymm3, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+        "vpermilpd $0, %%ymm4, %%ymm8\n"
+        "vpermilpd $15, %%ymm4, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+        "vpermilpd $0, %%ymm5, %%ymm8\n"
+        "vpermilpd $15, %%ymm5, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+        "vpermilpd $0, %%ymm6, %%ymm8\n"
+        "vpermilpd $15, %%ymm6, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+        "vpermilpd $0, %%ymm7, %%ymm8\n"
+        "vpermilpd $15, %%ymm7, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+        "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+        "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+        "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+        "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+        "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+        "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+        "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+        "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+        "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+        "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+        "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+        "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+        "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+        "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+        "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+        "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+        "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+        "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+        "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+        "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+        "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+        "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+        "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+        "vmovupd %%ymm8, (%0)\n"
+        "vmovupd %%ymm9, (%1)\n"
+        "vmovupd %%ymm10, (%2)\n"
+        "vmovupd %%ymm11, (%3)\n"
+        "vmovupd %%ymm12, (%4)\n"
+        "vmovupd %%ymm13, (%5)\n"
+        "vmovupd %%ymm14, (%6)\n"
+        "vmovupd %%ymm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 128; j += 128) {
+    for (int k = 0; k < 32; k += 4) {
+      __asm__ volatile (
+        "vmovupd (%0), %%ymm0\n"
+        "vmovupd (%1), %%ymm1\n"
+        "vmovupd (%2), %%ymm2\n"
+        "vmovupd (%3), %%ymm3\n"
+        "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+        "vmovupd %%ymm0, (%0)\n"
+        "vmovupd %%ymm1, (%1)\n"
+        "vmovupd %%ymm2, (%2)\n"
+        "vmovupd %%ymm3, (%3)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+}
+static inline void helper_double_8(double *buf);
+static inline void helper_double_8(double *buf) {
+  for (int j = 0; j < 256; j += 32) {
+    for (int k = 0; k < 4; k += 4) {
+      __asm__ volatile (
+        "vmovupd (%0), %%ymm0\n"
+        "vmovupd (%1), %%ymm1\n"
+        "vmovupd (%2), %%ymm2\n"
+        "vmovupd (%3), %%ymm3\n"
+        "vmovupd (%4), %%ymm4\n"
+        "vmovupd (%5), %%ymm5\n"
+        "vmovupd (%6), %%ymm6\n"
+        "vmovupd (%7), %%ymm7\n"
+        "vpermilpd $0, %%ymm0, %%ymm8\n"
+        "vpermilpd $15, %%ymm0, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+        "vpermilpd $0, %%ymm1, %%ymm8\n"
+        "vpermilpd $15, %%ymm1, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+        "vpermilpd $0, %%ymm2, %%ymm8\n"
+        "vpermilpd $15, %%ymm2, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+        "vpermilpd $0, %%ymm3, %%ymm8\n"
+        "vpermilpd $15, %%ymm3, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+        "vpermilpd $0, %%ymm4, %%ymm8\n"
+        "vpermilpd $15, %%ymm4, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+        "vpermilpd $0, %%ymm5, %%ymm8\n"
+        "vpermilpd $15, %%ymm5, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+        "vpermilpd $0, %%ymm6, %%ymm8\n"
+        "vpermilpd $15, %%ymm6, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+        "vpermilpd $0, %%ymm7, %%ymm8\n"
+        "vpermilpd $15, %%ymm7, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+        "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+        "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+        "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+        "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+        "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+        "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+        "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+        "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+        "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+        "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+        "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+        "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+        "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+        "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+        "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+        "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+        "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+        "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+        "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+        "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+        "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+        "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+        "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+        "vmovupd %%ymm8, (%0)\n"
+        "vmovupd %%ymm9, (%1)\n"
+        "vmovupd %%ymm10, (%2)\n"
+        "vmovupd %%ymm11, (%3)\n"
+        "vmovupd %%ymm12, (%4)\n"
+        "vmovupd %%ymm13, (%5)\n"
+        "vmovupd %%ymm14, (%6)\n"
+        "vmovupd %%ymm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 256; j += 256) {
+    for (int k = 0; k < 32; k += 4) {
+      __asm__ volatile (
+        "vmovupd (%0), %%ymm0\n"
+        "vmovupd (%1), %%ymm1\n"
+        "vmovupd (%2), %%ymm2\n"
+        "vmovupd (%3), %%ymm3\n"
+        "vmovupd (%4), %%ymm4\n"
+        "vmovupd (%5), %%ymm5\n"
+        "vmovupd (%6), %%ymm6\n"
+        "vmovupd (%7), %%ymm7\n"
+        "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+        "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+        "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+        "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+        "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+        "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+        "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+        "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+        "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+        "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+        "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+        "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+        "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+        "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+        "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+        "vmovupd %%ymm8, (%0)\n"
+        "vmovupd %%ymm9, (%1)\n"
+        "vmovupd %%ymm10, (%2)\n"
+        "vmovupd %%ymm11, (%3)\n"
+        "vmovupd %%ymm12, (%4)\n"
+        "vmovupd %%ymm13, (%5)\n"
+        "vmovupd %%ymm14, (%6)\n"
+        "vmovupd %%ymm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+}
+static inline void helper_double_9(double *buf);
+static inline void helper_double_9(double *buf) {
+  for (int j = 0; j < 512; j += 32) {
+    for (int k = 0; k < 4; k += 4) {
+      __asm__ volatile (
+        "vmovupd (%0), %%ymm0\n"
+        "vmovupd (%1), %%ymm1\n"
+        "vmovupd (%2), %%ymm2\n"
+        "vmovupd (%3), %%ymm3\n"
+        "vmovupd (%4), %%ymm4\n"
+        "vmovupd (%5), %%ymm5\n"
+        "vmovupd (%6), %%ymm6\n"
+        "vmovupd (%7), %%ymm7\n"
+        "vpermilpd $0, %%ymm0, %%ymm8\n"
+        "vpermilpd $15, %%ymm0, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+        "vpermilpd $0, %%ymm1, %%ymm8\n"
+        "vpermilpd $15, %%ymm1, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+        "vpermilpd $0, %%ymm2, %%ymm8\n"
+        "vpermilpd $15, %%ymm2, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+        "vpermilpd $0, %%ymm3, %%ymm8\n"
+        "vpermilpd $15, %%ymm3, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+        "vpermilpd $0, %%ymm4, %%ymm8\n"
+        "vpermilpd $15, %%ymm4, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+        "vpermilpd $0, %%ymm5, %%ymm8\n"
+        "vpermilpd $15, %%ymm5, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+        "vpermilpd $0, %%ymm6, %%ymm8\n"
+        "vpermilpd $15, %%ymm6, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+        "vpermilpd $0, %%ymm7, %%ymm8\n"
+        "vpermilpd $15, %%ymm7, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+        "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+        "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+        "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+        "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+        "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+        "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+        "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+        "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+        "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+        "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+        "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+        "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+        "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+        "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+        "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+        "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+        "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+        "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+        "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+        "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+        "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+        "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+        "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+        "vmovupd %%ymm8, (%0)\n"
+        "vmovupd %%ymm9, (%1)\n"
+        "vmovupd %%ymm10, (%2)\n"
+        "vmovupd %%ymm11, (%3)\n"
+        "vmovupd %%ymm12, (%4)\n"
+        "vmovupd %%ymm13, (%5)\n"
+        "vmovupd %%ymm14, (%6)\n"
+        "vmovupd %%ymm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 512; j += 256) {
+    for (int k = 0; k < 32; k += 4) {
+      __asm__ volatile (
+        "vmovupd (%0), %%ymm0\n"
+        "vmovupd (%1), %%ymm1\n"
+        "vmovupd (%2), %%ymm2\n"
+        "vmovupd (%3), %%ymm3\n"
+        "vmovupd (%4), %%ymm4\n"
+        "vmovupd (%5), %%ymm5\n"
+        "vmovupd (%6), %%ymm6\n"
+        "vmovupd (%7), %%ymm7\n"
+        "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+        "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+        "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+        "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+        "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+        "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+        "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+        "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+        "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+        "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+        "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+        "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+        "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+        "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+        "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+        "vmovupd %%ymm8, (%0)\n"
+        "vmovupd %%ymm9, (%1)\n"
+        "vmovupd %%ymm10, (%2)\n"
+        "vmovupd %%ymm11, (%3)\n"
+        "vmovupd %%ymm12, (%4)\n"
+        "vmovupd %%ymm13, (%5)\n"
+        "vmovupd %%ymm14, (%6)\n"
+        "vmovupd %%ymm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 512; j += 512) {
+    for (int k = 0; k < 256; k += 4) {
+      __asm__ volatile (
+        "vmovupd (%0), %%ymm0\n"
+        "vmovupd (%1), %%ymm1\n"
+        "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+        "vmovupd %%ymm8, (%0)\n"
+        "vmovupd %%ymm9, (%1)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 256) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+}
+static inline void helper_double_10(double *buf);
+static inline void helper_double_10(double *buf) {
+  for (int j = 0; j < 1024; j += 32) {
+    for (int k = 0; k < 4; k += 4) {
+      __asm__ volatile (
+        "vmovupd (%0), %%ymm0\n"
+        "vmovupd (%1), %%ymm1\n"
+        "vmovupd (%2), %%ymm2\n"
+        "vmovupd (%3), %%ymm3\n"
+        "vmovupd (%4), %%ymm4\n"
+        "vmovupd (%5), %%ymm5\n"
+        "vmovupd (%6), %%ymm6\n"
+        "vmovupd (%7), %%ymm7\n"
+        "vpermilpd $0, %%ymm0, %%ymm8\n"
+        "vpermilpd $15, %%ymm0, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+        "vpermilpd $0, %%ymm1, %%ymm8\n"
+        "vpermilpd $15, %%ymm1, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+        "vpermilpd $0, %%ymm2, %%ymm8\n"
+        "vpermilpd $15, %%ymm2, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+        "vpermilpd $0, %%ymm3, %%ymm8\n"
+        "vpermilpd $15, %%ymm3, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+        "vpermilpd $0, %%ymm4, %%ymm8\n"
+        "vpermilpd $15, %%ymm4, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+        "vpermilpd $0, %%ymm5, %%ymm8\n"
+        "vpermilpd $15, %%ymm5, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+        "vpermilpd $0, %%ymm6, %%ymm8\n"
+        "vpermilpd $15, %%ymm6, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+        "vpermilpd $0, %%ymm7, %%ymm8\n"
+        "vpermilpd $15, %%ymm7, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+        "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+        "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+        "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+        "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+        "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+        "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+        "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+        "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+        "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+        "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+        "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+        "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+        "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+        "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+        "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+        "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+        "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+        "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+        "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+        "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+        "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+        "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+        "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+        "vmovupd %%ymm8, (%0)\n"
+        "vmovupd %%ymm9, (%1)\n"
+        "vmovupd %%ymm10, (%2)\n"
+        "vmovupd %%ymm11, (%3)\n"
+        "vmovupd %%ymm12, (%4)\n"
+        "vmovupd %%ymm13, (%5)\n"
+        "vmovupd %%ymm14, (%6)\n"
+        "vmovupd %%ymm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 1024; j += 256) {
+    for (int k = 0; k < 32; k += 4) {
+      __asm__ volatile (
+        "vmovupd (%0), %%ymm0\n"
+        "vmovupd (%1), %%ymm1\n"
+        "vmovupd (%2), %%ymm2\n"
+        "vmovupd (%3), %%ymm3\n"
+        "vmovupd (%4), %%ymm4\n"
+        "vmovupd (%5), %%ymm5\n"
+        "vmovupd (%6), %%ymm6\n"
+        "vmovupd (%7), %%ymm7\n"
+        "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+        "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+        "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+        "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+        "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+        "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+        "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+        "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+        "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+        "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+        "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+        "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+        "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+        "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+        "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+        "vmovupd %%ymm8, (%0)\n"
+        "vmovupd %%ymm9, (%1)\n"
+        "vmovupd %%ymm10, (%2)\n"
+        "vmovupd %%ymm11, (%3)\n"
+        "vmovupd %%ymm12, (%4)\n"
+        "vmovupd %%ymm13, (%5)\n"
+        "vmovupd %%ymm14, (%6)\n"
+        "vmovupd %%ymm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 1024; j += 1024) {
+    for (int k = 0; k < 256; k += 4) {
+      __asm__ volatile (
+        "vmovupd (%0), %%ymm0\n"
+        "vmovupd (%1), %%ymm1\n"
+        "vmovupd (%2), %%ymm2\n"
+        "vmovupd (%3), %%ymm3\n"
+        "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+        "vmovupd %%ymm0, (%0)\n"
+        "vmovupd %%ymm1, (%1)\n"
+        "vmovupd %%ymm2, (%2)\n"
+        "vmovupd %%ymm3, (%3)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+}
+static inline void helper_double_11(double *buf);
+static inline void helper_double_11(double *buf) {
+  for (int j = 0; j < 2048; j += 32) {
+    for (int k = 0; k < 4; k += 4) {
+      __asm__ volatile (
+        "vmovupd (%0), %%ymm0\n"
+        "vmovupd (%1), %%ymm1\n"
+        "vmovupd (%2), %%ymm2\n"
+        "vmovupd (%3), %%ymm3\n"
+        "vmovupd (%4), %%ymm4\n"
+        "vmovupd (%5), %%ymm5\n"
+        "vmovupd (%6), %%ymm6\n"
+        "vmovupd (%7), %%ymm7\n"
+        "vpermilpd $0, %%ymm0, %%ymm8\n"
+        "vpermilpd $15, %%ymm0, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+        "vpermilpd $0, %%ymm1, %%ymm8\n"
+        "vpermilpd $15, %%ymm1, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+        "vpermilpd $0, %%ymm2, %%ymm8\n"
+        "vpermilpd $15, %%ymm2, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+        "vpermilpd $0, %%ymm3, %%ymm8\n"
+        "vpermilpd $15, %%ymm3, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+        "vpermilpd $0, %%ymm4, %%ymm8\n"
+        "vpermilpd $15, %%ymm4, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+        "vpermilpd $0, %%ymm5, %%ymm8\n"
+        "vpermilpd $15, %%ymm5, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+        "vpermilpd $0, %%ymm6, %%ymm8\n"
+        "vpermilpd $15, %%ymm6, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+        "vpermilpd $0, %%ymm7, %%ymm8\n"
+        "vpermilpd $15, %%ymm7, %%ymm9\n"
+        "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+        "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+        "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+        "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+        "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+        "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+        "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+        "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+        "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+        "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+        "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+        "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+        "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+        "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+        "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+        "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+        "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+        "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+        "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+        "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+        "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+        "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+        "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+        "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+        "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+        "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+        "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+        "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+        "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+        "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+        "vmovupd %%ymm8, (%0)\n"
+        "vmovupd %%ymm9, (%1)\n"
+        "vmovupd %%ymm10, (%2)\n"
+        "vmovupd %%ymm11, (%3)\n"
+        "vmovupd %%ymm12, (%4)\n"
+        "vmovupd %%ymm13, (%5)\n"
+        "vmovupd %%ymm14, (%6)\n"
+        "vmovupd %%ymm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 2048; j += 256) {
+    for (int k = 0; k < 32; k += 4) {
+      __asm__ volatile (
+        "vmovupd (%0), %%ymm0\n"
+        "vmovupd (%1), %%ymm1\n"
+        "vmovupd (%2), %%ymm2\n"
+        "vmovupd (%3), %%ymm3\n"
+        "vmovupd (%4), %%ymm4\n"
+        "vmovupd (%5), %%ymm5\n"
+        "vmovupd (%6), %%ymm6\n"
+        "vmovupd (%7), %%ymm7\n"
+        "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+        "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+        "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+        "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+        "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+        "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+        "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+        "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+        "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+        "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+        "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+        "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+        "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+        "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+        "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+        "vmovupd %%ymm8, (%0)\n"
+        "vmovupd %%ymm9, (%1)\n"
+        "vmovupd %%ymm10, (%2)\n"
+        "vmovupd %%ymm11, (%3)\n"
+        "vmovupd %%ymm12, (%4)\n"
+        "vmovupd %%ymm13, (%5)\n"
+        "vmovupd %%ymm14, (%6)\n"
+        "vmovupd %%ymm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 2048; j += 2048) {
+    for (int k = 0; k < 256; k += 4) {
+      __asm__ volatile (
+        "vmovupd (%0), %%ymm0\n"
+        "vmovupd (%1), %%ymm1\n"
+        "vmovupd (%2), %%ymm2\n"
+        "vmovupd (%3), %%ymm3\n"
+        "vmovupd (%4), %%ymm4\n"
+        "vmovupd (%5), %%ymm5\n"
+        "vmovupd (%6), %%ymm6\n"
+        "vmovupd (%7), %%ymm7\n"
+        "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+        "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+        "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+        "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+        "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+        "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+        "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+        "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+        "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+        "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+        "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+        "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+        "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+        "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+        "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+        "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+        "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+        "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+        "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+        "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+        "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+        "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+        "vmovupd %%ymm8, (%0)\n"
+        "vmovupd %%ymm9, (%1)\n"
+        "vmovupd %%ymm10, (%2)\n"
+        "vmovupd %%ymm11, (%3)\n"
+        "vmovupd %%ymm12, (%4)\n"
+        "vmovupd %%ymm13, (%5)\n"
+        "vmovupd %%ymm14, (%6)\n"
+        "vmovupd %%ymm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+      );
+    }
+  }
+}
+void helper_double_12_recursive(double *buf, int depth);
+void helper_double_12_recursive(double *buf, int depth) {
+  if (depth == 11) {
+    for (int j = 0; j < 2048; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilpd $0, %%ymm4, %%ymm8\n"
+          "vpermilpd $15, %%ymm4, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilpd $0, %%ymm5, %%ymm8\n"
+          "vpermilpd $15, %%ymm5, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilpd $0, %%ymm6, %%ymm8\n"
+          "vpermilpd $15, %%ymm6, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilpd $0, %%ymm7, %%ymm8\n"
+          "vpermilpd $15, %%ymm7, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 12) {
+    helper_double_12_recursive(buf + 0, 11);
+    helper_double_12_recursive(buf + 2048, 11);
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_12(double *buf);
+void helper_double_12(double *buf) {
+  helper_double_12_recursive(buf, 12);
+}
+void helper_double_13_recursive(double *buf, int depth);
+void helper_double_13_recursive(double *buf, int depth) {
+  if (depth == 11) {
+    for (int j = 0; j < 2048; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilpd $0, %%ymm4, %%ymm8\n"
+          "vpermilpd $15, %%ymm4, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilpd $0, %%ymm5, %%ymm8\n"
+          "vpermilpd $15, %%ymm5, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilpd $0, %%ymm6, %%ymm8\n"
+          "vpermilpd $15, %%ymm6, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilpd $0, %%ymm7, %%ymm8\n"
+          "vpermilpd $15, %%ymm7, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 13) {
+    helper_double_13_recursive(buf + 0, 11);
+    helper_double_13_recursive(buf + 2048, 11);
+    helper_double_13_recursive(buf + 4096, 11);
+    helper_double_13_recursive(buf + 6144, 11);
+    for (int j = 0; j < 8192; j += 8192) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovupd %%ymm0, (%0)\n"
+          "vmovupd %%ymm1, (%1)\n"
+          "vmovupd %%ymm2, (%2)\n"
+          "vmovupd %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_13(double *buf);
+void helper_double_13(double *buf) {
+  helper_double_13_recursive(buf, 13);
+}
+void helper_double_14_recursive(double *buf, int depth);
+void helper_double_14_recursive(double *buf, int depth) {
+  if (depth == 12) {
+    for (int j = 0; j < 4096; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilpd $0, %%ymm4, %%ymm8\n"
+          "vpermilpd $15, %%ymm4, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilpd $0, %%ymm5, %%ymm8\n"
+          "vpermilpd $15, %%ymm5, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilpd $0, %%ymm6, %%ymm8\n"
+          "vpermilpd $15, %%ymm6, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilpd $0, %%ymm7, %%ymm8\n"
+          "vpermilpd $15, %%ymm7, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_double_14_recursive(buf + 0, 12);
+    helper_double_14_recursive(buf + 4096, 12);
+    helper_double_14_recursive(buf + 8192, 12);
+    helper_double_14_recursive(buf + 12288, 12);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 4096; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovupd %%ymm0, (%0)\n"
+          "vmovupd %%ymm1, (%1)\n"
+          "vmovupd %%ymm2, (%2)\n"
+          "vmovupd %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_14(double *buf);
+void helper_double_14(double *buf) {
+  helper_double_14_recursive(buf, 14);
+}
+void helper_double_15_recursive(double *buf, int depth);
+void helper_double_15_recursive(double *buf, int depth) {
+  if (depth == 12) {
+    for (int j = 0; j < 4096; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilpd $0, %%ymm4, %%ymm8\n"
+          "vpermilpd $15, %%ymm4, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilpd $0, %%ymm5, %%ymm8\n"
+          "vpermilpd $15, %%ymm5, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilpd $0, %%ymm6, %%ymm8\n"
+          "vpermilpd $15, %%ymm6, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilpd $0, %%ymm7, %%ymm8\n"
+          "vpermilpd $15, %%ymm7, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_double_15_recursive(buf + 0, 12);
+    helper_double_15_recursive(buf + 4096, 12);
+    helper_double_15_recursive(buf + 8192, 12);
+    helper_double_15_recursive(buf + 12288, 12);
+    helper_double_15_recursive(buf + 16384, 12);
+    helper_double_15_recursive(buf + 20480, 12);
+    helper_double_15_recursive(buf + 24576, 12);
+    helper_double_15_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_15(double *buf);
+void helper_double_15(double *buf) {
+  helper_double_15_recursive(buf, 15);
+}
+void helper_double_16_recursive(double *buf, int depth);
+void helper_double_16_recursive(double *buf, int depth) {
+  if (depth == 11) {
+    for (int j = 0; j < 2048; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilpd $0, %%ymm4, %%ymm8\n"
+          "vpermilpd $15, %%ymm4, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilpd $0, %%ymm5, %%ymm8\n"
+          "vpermilpd $15, %%ymm5, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilpd $0, %%ymm6, %%ymm8\n"
+          "vpermilpd $15, %%ymm6, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilpd $0, %%ymm7, %%ymm8\n"
+          "vpermilpd $15, %%ymm7, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_double_16_recursive(buf + 0, 11);
+    helper_double_16_recursive(buf + 2048, 11);
+    helper_double_16_recursive(buf + 4096, 11);
+    helper_double_16_recursive(buf + 6144, 11);
+    helper_double_16_recursive(buf + 8192, 11);
+    helper_double_16_recursive(buf + 10240, 11);
+    helper_double_16_recursive(buf + 12288, 11);
+    helper_double_16_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 16) {
+    helper_double_16_recursive(buf + 0, 14);
+    helper_double_16_recursive(buf + 16384, 14);
+    helper_double_16_recursive(buf + 32768, 14);
+    helper_double_16_recursive(buf + 49152, 14);
+    for (int j = 0; j < 65536; j += 65536) {
+      for (int k = 0; k < 16384; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovupd %%ymm0, (%0)\n"
+          "vmovupd %%ymm1, (%1)\n"
+          "vmovupd %%ymm2, (%2)\n"
+          "vmovupd %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_16(double *buf);
+void helper_double_16(double *buf) {
+  helper_double_16_recursive(buf, 16);
+}
+void helper_double_17_recursive(double *buf, int depth);
+void helper_double_17_recursive(double *buf, int depth) {
+  if (depth == 11) {
+    for (int j = 0; j < 2048; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilpd $0, %%ymm4, %%ymm8\n"
+          "vpermilpd $15, %%ymm4, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilpd $0, %%ymm5, %%ymm8\n"
+          "vpermilpd $15, %%ymm5, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilpd $0, %%ymm6, %%ymm8\n"
+          "vpermilpd $15, %%ymm6, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilpd $0, %%ymm7, %%ymm8\n"
+          "vpermilpd $15, %%ymm7, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_double_17_recursive(buf + 0, 11);
+    helper_double_17_recursive(buf + 2048, 11);
+    helper_double_17_recursive(buf + 4096, 11);
+    helper_double_17_recursive(buf + 6144, 11);
+    helper_double_17_recursive(buf + 8192, 11);
+    helper_double_17_recursive(buf + 10240, 11);
+    helper_double_17_recursive(buf + 12288, 11);
+    helper_double_17_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_double_17_recursive(buf + 0, 14);
+    helper_double_17_recursive(buf + 16384, 14);
+    helper_double_17_recursive(buf + 32768, 14);
+    helper_double_17_recursive(buf + 49152, 14);
+    helper_double_17_recursive(buf + 65536, 14);
+    helper_double_17_recursive(buf + 81920, 14);
+    helper_double_17_recursive(buf + 98304, 14);
+    helper_double_17_recursive(buf + 114688, 14);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 16384; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152), "r"(buf + j + k + 65536), "r"(buf + j + k + 81920), "r"(buf + j + k + 98304), "r"(buf + j + k + 114688) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_17(double *buf);
+void helper_double_17(double *buf) {
+  helper_double_17_recursive(buf, 17);
+}
+void helper_double_18_recursive(double *buf, int depth);
+void helper_double_18_recursive(double *buf, int depth) {
+  if (depth == 12) {
+    for (int j = 0; j < 4096; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilpd $0, %%ymm4, %%ymm8\n"
+          "vpermilpd $15, %%ymm4, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilpd $0, %%ymm5, %%ymm8\n"
+          "vpermilpd $15, %%ymm5, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilpd $0, %%ymm6, %%ymm8\n"
+          "vpermilpd $15, %%ymm6, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilpd $0, %%ymm7, %%ymm8\n"
+          "vpermilpd $15, %%ymm7, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_double_18_recursive(buf + 0, 12);
+    helper_double_18_recursive(buf + 4096, 12);
+    helper_double_18_recursive(buf + 8192, 12);
+    helper_double_18_recursive(buf + 12288, 12);
+    helper_double_18_recursive(buf + 16384, 12);
+    helper_double_18_recursive(buf + 20480, 12);
+    helper_double_18_recursive(buf + 24576, 12);
+    helper_double_18_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_double_18_recursive(buf + 0, 15);
+    helper_double_18_recursive(buf + 32768, 15);
+    helper_double_18_recursive(buf + 65536, 15);
+    helper_double_18_recursive(buf + 98304, 15);
+    helper_double_18_recursive(buf + 131072, 15);
+    helper_double_18_recursive(buf + 163840, 15);
+    helper_double_18_recursive(buf + 196608, 15);
+    helper_double_18_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_18(double *buf);
+void helper_double_18(double *buf) {
+  helper_double_18_recursive(buf, 18);
+}
+void helper_double_19_recursive(double *buf, int depth);
+void helper_double_19_recursive(double *buf, int depth) {
+  if (depth == 11) {
+    for (int j = 0; j < 2048; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilpd $0, %%ymm4, %%ymm8\n"
+          "vpermilpd $15, %%ymm4, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilpd $0, %%ymm5, %%ymm8\n"
+          "vpermilpd $15, %%ymm5, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilpd $0, %%ymm6, %%ymm8\n"
+          "vpermilpd $15, %%ymm6, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilpd $0, %%ymm7, %%ymm8\n"
+          "vpermilpd $15, %%ymm7, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_double_19_recursive(buf + 0, 11);
+    helper_double_19_recursive(buf + 2048, 11);
+    helper_double_19_recursive(buf + 4096, 11);
+    helper_double_19_recursive(buf + 6144, 11);
+    helper_double_19_recursive(buf + 8192, 11);
+    helper_double_19_recursive(buf + 10240, 11);
+    helper_double_19_recursive(buf + 12288, 11);
+    helper_double_19_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_double_19_recursive(buf + 0, 14);
+    helper_double_19_recursive(buf + 16384, 14);
+    helper_double_19_recursive(buf + 32768, 14);
+    helper_double_19_recursive(buf + 49152, 14);
+    helper_double_19_recursive(buf + 65536, 14);
+    helper_double_19_recursive(buf + 81920, 14);
+    helper_double_19_recursive(buf + 98304, 14);
+    helper_double_19_recursive(buf + 114688, 14);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 16384; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152), "r"(buf + j + k + 65536), "r"(buf + j + k + 81920), "r"(buf + j + k + 98304), "r"(buf + j + k + 114688) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 19) {
+    helper_double_19_recursive(buf + 0, 17);
+    helper_double_19_recursive(buf + 131072, 17);
+    helper_double_19_recursive(buf + 262144, 17);
+    helper_double_19_recursive(buf + 393216, 17);
+    for (int j = 0; j < 524288; j += 524288) {
+      for (int k = 0; k < 131072; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovupd %%ymm0, (%0)\n"
+          "vmovupd %%ymm1, (%1)\n"
+          "vmovupd %%ymm2, (%2)\n"
+          "vmovupd %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 131072), "r"(buf + j + k + 262144), "r"(buf + j + k + 393216) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_19(double *buf);
+void helper_double_19(double *buf) {
+  helper_double_19_recursive(buf, 19);
+}
+void helper_double_20_recursive(double *buf, int depth);
+void helper_double_20_recursive(double *buf, int depth) {
+  if (depth == 9) {
+    for (int j = 0; j < 512; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilpd $0, %%ymm4, %%ymm8\n"
+          "vpermilpd $15, %%ymm4, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilpd $0, %%ymm5, %%ymm8\n"
+          "vpermilpd $15, %%ymm5, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilpd $0, %%ymm6, %%ymm8\n"
+          "vpermilpd $15, %%ymm6, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilpd $0, %%ymm7, %%ymm8\n"
+          "vpermilpd $15, %%ymm7, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 512; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 512; j += 512) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 12) {
+    helper_double_20_recursive(buf + 0, 9);
+    helper_double_20_recursive(buf + 512, 9);
+    helper_double_20_recursive(buf + 1024, 9);
+    helper_double_20_recursive(buf + 1536, 9);
+    helper_double_20_recursive(buf + 2048, 9);
+    helper_double_20_recursive(buf + 2560, 9);
+    helper_double_20_recursive(buf + 3072, 9);
+    helper_double_20_recursive(buf + 3584, 9);
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 512; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_double_20_recursive(buf + 0, 12);
+    helper_double_20_recursive(buf + 4096, 12);
+    helper_double_20_recursive(buf + 8192, 12);
+    helper_double_20_recursive(buf + 12288, 12);
+    helper_double_20_recursive(buf + 16384, 12);
+    helper_double_20_recursive(buf + 20480, 12);
+    helper_double_20_recursive(buf + 24576, 12);
+    helper_double_20_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_double_20_recursive(buf + 0, 15);
+    helper_double_20_recursive(buf + 32768, 15);
+    helper_double_20_recursive(buf + 65536, 15);
+    helper_double_20_recursive(buf + 98304, 15);
+    helper_double_20_recursive(buf + 131072, 15);
+    helper_double_20_recursive(buf + 163840, 15);
+    helper_double_20_recursive(buf + 196608, 15);
+    helper_double_20_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 20) {
+    helper_double_20_recursive(buf + 0, 18);
+    helper_double_20_recursive(buf + 262144, 18);
+    helper_double_20_recursive(buf + 524288, 18);
+    helper_double_20_recursive(buf + 786432, 18);
+    for (int j = 0; j < 1048576; j += 1048576) {
+      for (int k = 0; k < 262144; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovupd %%ymm0, (%0)\n"
+          "vmovupd %%ymm1, (%1)\n"
+          "vmovupd %%ymm2, (%2)\n"
+          "vmovupd %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_20(double *buf);
+void helper_double_20(double *buf) {
+  helper_double_20_recursive(buf, 20);
+}
+void helper_double_21_recursive(double *buf, int depth);
+void helper_double_21_recursive(double *buf, int depth) {
+  if (depth == 7) {
+    for (int j = 0; j < 128; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilpd $0, %%ymm4, %%ymm8\n"
+          "vpermilpd $15, %%ymm4, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilpd $0, %%ymm5, %%ymm8\n"
+          "vpermilpd $15, %%ymm5, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilpd $0, %%ymm6, %%ymm8\n"
+          "vpermilpd $15, %%ymm6, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilpd $0, %%ymm7, %%ymm8\n"
+          "vpermilpd $15, %%ymm7, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 128; j += 128) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovupd %%ymm0, (%0)\n"
+          "vmovupd %%ymm1, (%1)\n"
+          "vmovupd %%ymm2, (%2)\n"
+          "vmovupd %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 10) {
+    helper_double_21_recursive(buf + 0, 7);
+    helper_double_21_recursive(buf + 128, 7);
+    helper_double_21_recursive(buf + 256, 7);
+    helper_double_21_recursive(buf + 384, 7);
+    helper_double_21_recursive(buf + 512, 7);
+    helper_double_21_recursive(buf + 640, 7);
+    helper_double_21_recursive(buf + 768, 7);
+    helper_double_21_recursive(buf + 896, 7);
+    for (int j = 0; j < 1024; j += 1024) {
+      for (int k = 0; k < 128; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 128), "r"(buf + j + k + 256), "r"(buf + j + k + 384), "r"(buf + j + k + 512), "r"(buf + j + k + 640), "r"(buf + j + k + 768), "r"(buf + j + k + 896) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 13) {
+    helper_double_21_recursive(buf + 0, 10);
+    helper_double_21_recursive(buf + 1024, 10);
+    helper_double_21_recursive(buf + 2048, 10);
+    helper_double_21_recursive(buf + 3072, 10);
+    helper_double_21_recursive(buf + 4096, 10);
+    helper_double_21_recursive(buf + 5120, 10);
+    helper_double_21_recursive(buf + 6144, 10);
+    helper_double_21_recursive(buf + 7168, 10);
+    for (int j = 0; j < 8192; j += 8192) {
+      for (int k = 0; k < 1024; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1024), "r"(buf + j + k + 2048), "r"(buf + j + k + 3072), "r"(buf + j + k + 4096), "r"(buf + j + k + 5120), "r"(buf + j + k + 6144), "r"(buf + j + k + 7168) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 16) {
+    helper_double_21_recursive(buf + 0, 13);
+    helper_double_21_recursive(buf + 8192, 13);
+    helper_double_21_recursive(buf + 16384, 13);
+    helper_double_21_recursive(buf + 24576, 13);
+    helper_double_21_recursive(buf + 32768, 13);
+    helper_double_21_recursive(buf + 40960, 13);
+    helper_double_21_recursive(buf + 49152, 13);
+    helper_double_21_recursive(buf + 57344, 13);
+    for (int j = 0; j < 65536; j += 65536) {
+      for (int k = 0; k < 8192; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8192), "r"(buf + j + k + 16384), "r"(buf + j + k + 24576), "r"(buf + j + k + 32768), "r"(buf + j + k + 40960), "r"(buf + j + k + 49152), "r"(buf + j + k + 57344) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 19) {
+    helper_double_21_recursive(buf + 0, 16);
+    helper_double_21_recursive(buf + 65536, 16);
+    helper_double_21_recursive(buf + 131072, 16);
+    helper_double_21_recursive(buf + 196608, 16);
+    helper_double_21_recursive(buf + 262144, 16);
+    helper_double_21_recursive(buf + 327680, 16);
+    helper_double_21_recursive(buf + 393216, 16);
+    helper_double_21_recursive(buf + 458752, 16);
+    for (int j = 0; j < 524288; j += 524288) {
+      for (int k = 0; k < 65536; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 65536), "r"(buf + j + k + 131072), "r"(buf + j + k + 196608), "r"(buf + j + k + 262144), "r"(buf + j + k + 327680), "r"(buf + j + k + 393216), "r"(buf + j + k + 458752) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_double_21_recursive(buf + 0, 19);
+    helper_double_21_recursive(buf + 524288, 19);
+    helper_double_21_recursive(buf + 1048576, 19);
+    helper_double_21_recursive(buf + 1572864, 19);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 524288; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovupd %%ymm0, (%0)\n"
+          "vmovupd %%ymm1, (%1)\n"
+          "vmovupd %%ymm2, (%2)\n"
+          "vmovupd %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 524288), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1572864) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_21(double *buf);
+void helper_double_21(double *buf) {
+  helper_double_21_recursive(buf, 21);
+}
+void helper_double_22_recursive(double *buf, int depth);
+void helper_double_22_recursive(double *buf, int depth) {
+  if (depth == 11) {
+    for (int j = 0; j < 2048; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilpd $0, %%ymm4, %%ymm8\n"
+          "vpermilpd $15, %%ymm4, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilpd $0, %%ymm5, %%ymm8\n"
+          "vpermilpd $15, %%ymm5, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilpd $0, %%ymm6, %%ymm8\n"
+          "vpermilpd $15, %%ymm6, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilpd $0, %%ymm7, %%ymm8\n"
+          "vpermilpd $15, %%ymm7, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_double_22_recursive(buf + 0, 11);
+    helper_double_22_recursive(buf + 2048, 11);
+    helper_double_22_recursive(buf + 4096, 11);
+    helper_double_22_recursive(buf + 6144, 11);
+    helper_double_22_recursive(buf + 8192, 11);
+    helper_double_22_recursive(buf + 10240, 11);
+    helper_double_22_recursive(buf + 12288, 11);
+    helper_double_22_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_double_22_recursive(buf + 0, 14);
+    helper_double_22_recursive(buf + 16384, 14);
+    helper_double_22_recursive(buf + 32768, 14);
+    helper_double_22_recursive(buf + 49152, 14);
+    helper_double_22_recursive(buf + 65536, 14);
+    helper_double_22_recursive(buf + 81920, 14);
+    helper_double_22_recursive(buf + 98304, 14);
+    helper_double_22_recursive(buf + 114688, 14);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 16384; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152), "r"(buf + j + k + 65536), "r"(buf + j + k + 81920), "r"(buf + j + k + 98304), "r"(buf + j + k + 114688) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 20) {
+    helper_double_22_recursive(buf + 0, 17);
+    helper_double_22_recursive(buf + 131072, 17);
+    helper_double_22_recursive(buf + 262144, 17);
+    helper_double_22_recursive(buf + 393216, 17);
+    helper_double_22_recursive(buf + 524288, 17);
+    helper_double_22_recursive(buf + 655360, 17);
+    helper_double_22_recursive(buf + 786432, 17);
+    helper_double_22_recursive(buf + 917504, 17);
+    for (int j = 0; j < 1048576; j += 1048576) {
+      for (int k = 0; k < 131072; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 131072), "r"(buf + j + k + 262144), "r"(buf + j + k + 393216), "r"(buf + j + k + 524288), "r"(buf + j + k + 655360), "r"(buf + j + k + 786432), "r"(buf + j + k + 917504) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 22) {
+    helper_double_22_recursive(buf + 0, 20);
+    helper_double_22_recursive(buf + 1048576, 20);
+    helper_double_22_recursive(buf + 2097152, 20);
+    helper_double_22_recursive(buf + 3145728, 20);
+    for (int j = 0; j < 4194304; j += 4194304) {
+      for (int k = 0; k < 1048576; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovupd %%ymm0, (%0)\n"
+          "vmovupd %%ymm1, (%1)\n"
+          "vmovupd %%ymm2, (%2)\n"
+          "vmovupd %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1048576), "r"(buf + j + k + 2097152), "r"(buf + j + k + 3145728) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_22(double *buf);
+void helper_double_22(double *buf) {
+  helper_double_22_recursive(buf, 22);
+}
+void helper_double_23_recursive(double *buf, int depth);
+void helper_double_23_recursive(double *buf, int depth) {
+  if (depth == 11) {
+    for (int j = 0; j < 2048; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilpd $0, %%ymm4, %%ymm8\n"
+          "vpermilpd $15, %%ymm4, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilpd $0, %%ymm5, %%ymm8\n"
+          "vpermilpd $15, %%ymm5, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilpd $0, %%ymm6, %%ymm8\n"
+          "vpermilpd $15, %%ymm6, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilpd $0, %%ymm7, %%ymm8\n"
+          "vpermilpd $15, %%ymm7, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_double_23_recursive(buf + 0, 11);
+    helper_double_23_recursive(buf + 2048, 11);
+    helper_double_23_recursive(buf + 4096, 11);
+    helper_double_23_recursive(buf + 6144, 11);
+    helper_double_23_recursive(buf + 8192, 11);
+    helper_double_23_recursive(buf + 10240, 11);
+    helper_double_23_recursive(buf + 12288, 11);
+    helper_double_23_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_double_23_recursive(buf + 0, 14);
+    helper_double_23_recursive(buf + 16384, 14);
+    helper_double_23_recursive(buf + 32768, 14);
+    helper_double_23_recursive(buf + 49152, 14);
+    helper_double_23_recursive(buf + 65536, 14);
+    helper_double_23_recursive(buf + 81920, 14);
+    helper_double_23_recursive(buf + 98304, 14);
+    helper_double_23_recursive(buf + 114688, 14);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 16384; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152), "r"(buf + j + k + 65536), "r"(buf + j + k + 81920), "r"(buf + j + k + 98304), "r"(buf + j + k + 114688) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 20) {
+    helper_double_23_recursive(buf + 0, 17);
+    helper_double_23_recursive(buf + 131072, 17);
+    helper_double_23_recursive(buf + 262144, 17);
+    helper_double_23_recursive(buf + 393216, 17);
+    helper_double_23_recursive(buf + 524288, 17);
+    helper_double_23_recursive(buf + 655360, 17);
+    helper_double_23_recursive(buf + 786432, 17);
+    helper_double_23_recursive(buf + 917504, 17);
+    for (int j = 0; j < 1048576; j += 1048576) {
+      for (int k = 0; k < 131072; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 131072), "r"(buf + j + k + 262144), "r"(buf + j + k + 393216), "r"(buf + j + k + 524288), "r"(buf + j + k + 655360), "r"(buf + j + k + 786432), "r"(buf + j + k + 917504) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 23) {
+    helper_double_23_recursive(buf + 0, 20);
+    helper_double_23_recursive(buf + 1048576, 20);
+    helper_double_23_recursive(buf + 2097152, 20);
+    helper_double_23_recursive(buf + 3145728, 20);
+    helper_double_23_recursive(buf + 4194304, 20);
+    helper_double_23_recursive(buf + 5242880, 20);
+    helper_double_23_recursive(buf + 6291456, 20);
+    helper_double_23_recursive(buf + 7340032, 20);
+    for (int j = 0; j < 8388608; j += 8388608) {
+      for (int k = 0; k < 1048576; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1048576), "r"(buf + j + k + 2097152), "r"(buf + j + k + 3145728), "r"(buf + j + k + 4194304), "r"(buf + j + k + 5242880), "r"(buf + j + k + 6291456), "r"(buf + j + k + 7340032) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_23(double *buf);
+void helper_double_23(double *buf) {
+  helper_double_23_recursive(buf, 23);
+}
+void helper_double_24_recursive(double *buf, int depth);
+void helper_double_24_recursive(double *buf, int depth) {
+  if (depth == 10) {
+    for (int j = 0; j < 1024; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilpd $0, %%ymm4, %%ymm8\n"
+          "vpermilpd $15, %%ymm4, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilpd $0, %%ymm5, %%ymm8\n"
+          "vpermilpd $15, %%ymm5, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilpd $0, %%ymm6, %%ymm8\n"
+          "vpermilpd $15, %%ymm6, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilpd $0, %%ymm7, %%ymm8\n"
+          "vpermilpd $15, %%ymm7, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 1024; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 1024; j += 1024) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovupd %%ymm0, (%0)\n"
+          "vmovupd %%ymm1, (%1)\n"
+          "vmovupd %%ymm2, (%2)\n"
+          "vmovupd %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 13) {
+    helper_double_24_recursive(buf + 0, 10);
+    helper_double_24_recursive(buf + 1024, 10);
+    helper_double_24_recursive(buf + 2048, 10);
+    helper_double_24_recursive(buf + 3072, 10);
+    helper_double_24_recursive(buf + 4096, 10);
+    helper_double_24_recursive(buf + 5120, 10);
+    helper_double_24_recursive(buf + 6144, 10);
+    helper_double_24_recursive(buf + 7168, 10);
+    for (int j = 0; j < 8192; j += 8192) {
+      for (int k = 0; k < 1024; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1024), "r"(buf + j + k + 2048), "r"(buf + j + k + 3072), "r"(buf + j + k + 4096), "r"(buf + j + k + 5120), "r"(buf + j + k + 6144), "r"(buf + j + k + 7168) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 16) {
+    helper_double_24_recursive(buf + 0, 13);
+    helper_double_24_recursive(buf + 8192, 13);
+    helper_double_24_recursive(buf + 16384, 13);
+    helper_double_24_recursive(buf + 24576, 13);
+    helper_double_24_recursive(buf + 32768, 13);
+    helper_double_24_recursive(buf + 40960, 13);
+    helper_double_24_recursive(buf + 49152, 13);
+    helper_double_24_recursive(buf + 57344, 13);
+    for (int j = 0; j < 65536; j += 65536) {
+      for (int k = 0; k < 8192; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8192), "r"(buf + j + k + 16384), "r"(buf + j + k + 24576), "r"(buf + j + k + 32768), "r"(buf + j + k + 40960), "r"(buf + j + k + 49152), "r"(buf + j + k + 57344) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 19) {
+    helper_double_24_recursive(buf + 0, 16);
+    helper_double_24_recursive(buf + 65536, 16);
+    helper_double_24_recursive(buf + 131072, 16);
+    helper_double_24_recursive(buf + 196608, 16);
+    helper_double_24_recursive(buf + 262144, 16);
+    helper_double_24_recursive(buf + 327680, 16);
+    helper_double_24_recursive(buf + 393216, 16);
+    helper_double_24_recursive(buf + 458752, 16);
+    for (int j = 0; j < 524288; j += 524288) {
+      for (int k = 0; k < 65536; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 65536), "r"(buf + j + k + 131072), "r"(buf + j + k + 196608), "r"(buf + j + k + 262144), "r"(buf + j + k + 327680), "r"(buf + j + k + 393216), "r"(buf + j + k + 458752) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 22) {
+    helper_double_24_recursive(buf + 0, 19);
+    helper_double_24_recursive(buf + 524288, 19);
+    helper_double_24_recursive(buf + 1048576, 19);
+    helper_double_24_recursive(buf + 1572864, 19);
+    helper_double_24_recursive(buf + 2097152, 19);
+    helper_double_24_recursive(buf + 2621440, 19);
+    helper_double_24_recursive(buf + 3145728, 19);
+    helper_double_24_recursive(buf + 3670016, 19);
+    for (int j = 0; j < 4194304; j += 4194304) {
+      for (int k = 0; k < 524288; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 524288), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1572864), "r"(buf + j + k + 2097152), "r"(buf + j + k + 2621440), "r"(buf + j + k + 3145728), "r"(buf + j + k + 3670016) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 24) {
+    helper_double_24_recursive(buf + 0, 22);
+    helper_double_24_recursive(buf + 4194304, 22);
+    helper_double_24_recursive(buf + 8388608, 22);
+    helper_double_24_recursive(buf + 12582912, 22);
+    for (int j = 0; j < 16777216; j += 16777216) {
+      for (int k = 0; k < 4194304; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovupd %%ymm0, (%0)\n"
+          "vmovupd %%ymm1, (%1)\n"
+          "vmovupd %%ymm2, (%2)\n"
+          "vmovupd %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4194304), "r"(buf + j + k + 8388608), "r"(buf + j + k + 12582912) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_24(double *buf);
+void helper_double_24(double *buf) {
+  helper_double_24_recursive(buf, 24);
+}
+void helper_double_25_recursive(double *buf, int depth);
+void helper_double_25_recursive(double *buf, int depth) {
+  if (depth == 8) {
+    for (int j = 0; j < 256; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilpd $0, %%ymm4, %%ymm8\n"
+          "vpermilpd $15, %%ymm4, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilpd $0, %%ymm5, %%ymm8\n"
+          "vpermilpd $15, %%ymm5, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilpd $0, %%ymm6, %%ymm8\n"
+          "vpermilpd $15, %%ymm6, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilpd $0, %%ymm7, %%ymm8\n"
+          "vpermilpd $15, %%ymm7, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 256; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 11) {
+    helper_double_25_recursive(buf + 0, 8);
+    helper_double_25_recursive(buf + 256, 8);
+    helper_double_25_recursive(buf + 512, 8);
+    helper_double_25_recursive(buf + 768, 8);
+    helper_double_25_recursive(buf + 1024, 8);
+    helper_double_25_recursive(buf + 1280, 8);
+    helper_double_25_recursive(buf + 1536, 8);
+    helper_double_25_recursive(buf + 1792, 8);
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_double_25_recursive(buf + 0, 11);
+    helper_double_25_recursive(buf + 2048, 11);
+    helper_double_25_recursive(buf + 4096, 11);
+    helper_double_25_recursive(buf + 6144, 11);
+    helper_double_25_recursive(buf + 8192, 11);
+    helper_double_25_recursive(buf + 10240, 11);
+    helper_double_25_recursive(buf + 12288, 11);
+    helper_double_25_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_double_25_recursive(buf + 0, 14);
+    helper_double_25_recursive(buf + 16384, 14);
+    helper_double_25_recursive(buf + 32768, 14);
+    helper_double_25_recursive(buf + 49152, 14);
+    helper_double_25_recursive(buf + 65536, 14);
+    helper_double_25_recursive(buf + 81920, 14);
+    helper_double_25_recursive(buf + 98304, 14);
+    helper_double_25_recursive(buf + 114688, 14);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 16384; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152), "r"(buf + j + k + 65536), "r"(buf + j + k + 81920), "r"(buf + j + k + 98304), "r"(buf + j + k + 114688) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 20) {
+    helper_double_25_recursive(buf + 0, 17);
+    helper_double_25_recursive(buf + 131072, 17);
+    helper_double_25_recursive(buf + 262144, 17);
+    helper_double_25_recursive(buf + 393216, 17);
+    helper_double_25_recursive(buf + 524288, 17);
+    helper_double_25_recursive(buf + 655360, 17);
+    helper_double_25_recursive(buf + 786432, 17);
+    helper_double_25_recursive(buf + 917504, 17);
+    for (int j = 0; j < 1048576; j += 1048576) {
+      for (int k = 0; k < 131072; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 131072), "r"(buf + j + k + 262144), "r"(buf + j + k + 393216), "r"(buf + j + k + 524288), "r"(buf + j + k + 655360), "r"(buf + j + k + 786432), "r"(buf + j + k + 917504) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 23) {
+    helper_double_25_recursive(buf + 0, 20);
+    helper_double_25_recursive(buf + 1048576, 20);
+    helper_double_25_recursive(buf + 2097152, 20);
+    helper_double_25_recursive(buf + 3145728, 20);
+    helper_double_25_recursive(buf + 4194304, 20);
+    helper_double_25_recursive(buf + 5242880, 20);
+    helper_double_25_recursive(buf + 6291456, 20);
+    helper_double_25_recursive(buf + 7340032, 20);
+    for (int j = 0; j < 8388608; j += 8388608) {
+      for (int k = 0; k < 1048576; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1048576), "r"(buf + j + k + 2097152), "r"(buf + j + k + 3145728), "r"(buf + j + k + 4194304), "r"(buf + j + k + 5242880), "r"(buf + j + k + 6291456), "r"(buf + j + k + 7340032) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 25) {
+    helper_double_25_recursive(buf + 0, 23);
+    helper_double_25_recursive(buf + 8388608, 23);
+    helper_double_25_recursive(buf + 16777216, 23);
+    helper_double_25_recursive(buf + 25165824, 23);
+    for (int j = 0; j < 33554432; j += 33554432) {
+      for (int k = 0; k < 8388608; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovupd %%ymm0, (%0)\n"
+          "vmovupd %%ymm1, (%1)\n"
+          "vmovupd %%ymm2, (%2)\n"
+          "vmovupd %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8388608), "r"(buf + j + k + 16777216), "r"(buf + j + k + 25165824) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_25(double *buf);
+void helper_double_25(double *buf) {
+  helper_double_25_recursive(buf, 25);
+}
+void helper_double_26_recursive(double *buf, int depth);
+void helper_double_26_recursive(double *buf, int depth) {
+  if (depth == 11) {
+    for (int j = 0; j < 2048; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilpd $0, %%ymm4, %%ymm8\n"
+          "vpermilpd $15, %%ymm4, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilpd $0, %%ymm5, %%ymm8\n"
+          "vpermilpd $15, %%ymm5, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilpd $0, %%ymm6, %%ymm8\n"
+          "vpermilpd $15, %%ymm6, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilpd $0, %%ymm7, %%ymm8\n"
+          "vpermilpd $15, %%ymm7, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_double_26_recursive(buf + 0, 11);
+    helper_double_26_recursive(buf + 2048, 11);
+    helper_double_26_recursive(buf + 4096, 11);
+    helper_double_26_recursive(buf + 6144, 11);
+    helper_double_26_recursive(buf + 8192, 11);
+    helper_double_26_recursive(buf + 10240, 11);
+    helper_double_26_recursive(buf + 12288, 11);
+    helper_double_26_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_double_26_recursive(buf + 0, 14);
+    helper_double_26_recursive(buf + 16384, 14);
+    helper_double_26_recursive(buf + 32768, 14);
+    helper_double_26_recursive(buf + 49152, 14);
+    helper_double_26_recursive(buf + 65536, 14);
+    helper_double_26_recursive(buf + 81920, 14);
+    helper_double_26_recursive(buf + 98304, 14);
+    helper_double_26_recursive(buf + 114688, 14);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 16384; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152), "r"(buf + j + k + 65536), "r"(buf + j + k + 81920), "r"(buf + j + k + 98304), "r"(buf + j + k + 114688) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 20) {
+    helper_double_26_recursive(buf + 0, 17);
+    helper_double_26_recursive(buf + 131072, 17);
+    helper_double_26_recursive(buf + 262144, 17);
+    helper_double_26_recursive(buf + 393216, 17);
+    helper_double_26_recursive(buf + 524288, 17);
+    helper_double_26_recursive(buf + 655360, 17);
+    helper_double_26_recursive(buf + 786432, 17);
+    helper_double_26_recursive(buf + 917504, 17);
+    for (int j = 0; j < 1048576; j += 1048576) {
+      for (int k = 0; k < 131072; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 131072), "r"(buf + j + k + 262144), "r"(buf + j + k + 393216), "r"(buf + j + k + 524288), "r"(buf + j + k + 655360), "r"(buf + j + k + 786432), "r"(buf + j + k + 917504) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 23) {
+    helper_double_26_recursive(buf + 0, 20);
+    helper_double_26_recursive(buf + 1048576, 20);
+    helper_double_26_recursive(buf + 2097152, 20);
+    helper_double_26_recursive(buf + 3145728, 20);
+    helper_double_26_recursive(buf + 4194304, 20);
+    helper_double_26_recursive(buf + 5242880, 20);
+    helper_double_26_recursive(buf + 6291456, 20);
+    helper_double_26_recursive(buf + 7340032, 20);
+    for (int j = 0; j < 8388608; j += 8388608) {
+      for (int k = 0; k < 1048576; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1048576), "r"(buf + j + k + 2097152), "r"(buf + j + k + 3145728), "r"(buf + j + k + 4194304), "r"(buf + j + k + 5242880), "r"(buf + j + k + 6291456), "r"(buf + j + k + 7340032) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 26) {
+    helper_double_26_recursive(buf + 0, 23);
+    helper_double_26_recursive(buf + 8388608, 23);
+    helper_double_26_recursive(buf + 16777216, 23);
+    helper_double_26_recursive(buf + 25165824, 23);
+    helper_double_26_recursive(buf + 33554432, 23);
+    helper_double_26_recursive(buf + 41943040, 23);
+    helper_double_26_recursive(buf + 50331648, 23);
+    helper_double_26_recursive(buf + 58720256, 23);
+    for (int j = 0; j < 67108864; j += 67108864) {
+      for (int k = 0; k < 8388608; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8388608), "r"(buf + j + k + 16777216), "r"(buf + j + k + 25165824), "r"(buf + j + k + 33554432), "r"(buf + j + k + 41943040), "r"(buf + j + k + 50331648), "r"(buf + j + k + 58720256) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_26(double *buf);
+void helper_double_26(double *buf) {
+  helper_double_26_recursive(buf, 26);
+}
+void helper_double_27_recursive(double *buf, int depth);
+void helper_double_27_recursive(double *buf, int depth) {
+  if (depth == 9) {
+    for (int j = 0; j < 512; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilpd $0, %%ymm4, %%ymm8\n"
+          "vpermilpd $15, %%ymm4, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilpd $0, %%ymm5, %%ymm8\n"
+          "vpermilpd $15, %%ymm5, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilpd $0, %%ymm6, %%ymm8\n"
+          "vpermilpd $15, %%ymm6, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilpd $0, %%ymm7, %%ymm8\n"
+          "vpermilpd $15, %%ymm7, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 512; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 512; j += 512) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 12) {
+    helper_double_27_recursive(buf + 0, 9);
+    helper_double_27_recursive(buf + 512, 9);
+    helper_double_27_recursive(buf + 1024, 9);
+    helper_double_27_recursive(buf + 1536, 9);
+    helper_double_27_recursive(buf + 2048, 9);
+    helper_double_27_recursive(buf + 2560, 9);
+    helper_double_27_recursive(buf + 3072, 9);
+    helper_double_27_recursive(buf + 3584, 9);
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 512; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_double_27_recursive(buf + 0, 12);
+    helper_double_27_recursive(buf + 4096, 12);
+    helper_double_27_recursive(buf + 8192, 12);
+    helper_double_27_recursive(buf + 12288, 12);
+    helper_double_27_recursive(buf + 16384, 12);
+    helper_double_27_recursive(buf + 20480, 12);
+    helper_double_27_recursive(buf + 24576, 12);
+    helper_double_27_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_double_27_recursive(buf + 0, 15);
+    helper_double_27_recursive(buf + 32768, 15);
+    helper_double_27_recursive(buf + 65536, 15);
+    helper_double_27_recursive(buf + 98304, 15);
+    helper_double_27_recursive(buf + 131072, 15);
+    helper_double_27_recursive(buf + 163840, 15);
+    helper_double_27_recursive(buf + 196608, 15);
+    helper_double_27_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_double_27_recursive(buf + 0, 18);
+    helper_double_27_recursive(buf + 262144, 18);
+    helper_double_27_recursive(buf + 524288, 18);
+    helper_double_27_recursive(buf + 786432, 18);
+    helper_double_27_recursive(buf + 1048576, 18);
+    helper_double_27_recursive(buf + 1310720, 18);
+    helper_double_27_recursive(buf + 1572864, 18);
+    helper_double_27_recursive(buf + 1835008, 18);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 262144; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1310720), "r"(buf + j + k + 1572864), "r"(buf + j + k + 1835008) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 24) {
+    helper_double_27_recursive(buf + 0, 21);
+    helper_double_27_recursive(buf + 2097152, 21);
+    helper_double_27_recursive(buf + 4194304, 21);
+    helper_double_27_recursive(buf + 6291456, 21);
+    helper_double_27_recursive(buf + 8388608, 21);
+    helper_double_27_recursive(buf + 10485760, 21);
+    helper_double_27_recursive(buf + 12582912, 21);
+    helper_double_27_recursive(buf + 14680064, 21);
+    for (int j = 0; j < 16777216; j += 16777216) {
+      for (int k = 0; k < 2097152; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2097152), "r"(buf + j + k + 4194304), "r"(buf + j + k + 6291456), "r"(buf + j + k + 8388608), "r"(buf + j + k + 10485760), "r"(buf + j + k + 12582912), "r"(buf + j + k + 14680064) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 27) {
+    helper_double_27_recursive(buf + 0, 24);
+    helper_double_27_recursive(buf + 16777216, 24);
+    helper_double_27_recursive(buf + 33554432, 24);
+    helper_double_27_recursive(buf + 50331648, 24);
+    helper_double_27_recursive(buf + 67108864, 24);
+    helper_double_27_recursive(buf + 83886080, 24);
+    helper_double_27_recursive(buf + 100663296, 24);
+    helper_double_27_recursive(buf + 117440512, 24);
+    for (int j = 0; j < 134217728; j += 134217728) {
+      for (int k = 0; k < 16777216; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16777216), "r"(buf + j + k + 33554432), "r"(buf + j + k + 50331648), "r"(buf + j + k + 67108864), "r"(buf + j + k + 83886080), "r"(buf + j + k + 100663296), "r"(buf + j + k + 117440512) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_27(double *buf);
+void helper_double_27(double *buf) {
+  helper_double_27_recursive(buf, 27);
+}
+void helper_double_28_recursive(double *buf, int depth);
+void helper_double_28_recursive(double *buf, int depth) {
+  if (depth == 11) {
+    for (int j = 0; j < 2048; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilpd $0, %%ymm4, %%ymm8\n"
+          "vpermilpd $15, %%ymm4, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilpd $0, %%ymm5, %%ymm8\n"
+          "vpermilpd $15, %%ymm5, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilpd $0, %%ymm6, %%ymm8\n"
+          "vpermilpd $15, %%ymm6, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilpd $0, %%ymm7, %%ymm8\n"
+          "vpermilpd $15, %%ymm7, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_double_28_recursive(buf + 0, 11);
+    helper_double_28_recursive(buf + 2048, 11);
+    helper_double_28_recursive(buf + 4096, 11);
+    helper_double_28_recursive(buf + 6144, 11);
+    helper_double_28_recursive(buf + 8192, 11);
+    helper_double_28_recursive(buf + 10240, 11);
+    helper_double_28_recursive(buf + 12288, 11);
+    helper_double_28_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_double_28_recursive(buf + 0, 14);
+    helper_double_28_recursive(buf + 16384, 14);
+    helper_double_28_recursive(buf + 32768, 14);
+    helper_double_28_recursive(buf + 49152, 14);
+    helper_double_28_recursive(buf + 65536, 14);
+    helper_double_28_recursive(buf + 81920, 14);
+    helper_double_28_recursive(buf + 98304, 14);
+    helper_double_28_recursive(buf + 114688, 14);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 16384; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152), "r"(buf + j + k + 65536), "r"(buf + j + k + 81920), "r"(buf + j + k + 98304), "r"(buf + j + k + 114688) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 20) {
+    helper_double_28_recursive(buf + 0, 17);
+    helper_double_28_recursive(buf + 131072, 17);
+    helper_double_28_recursive(buf + 262144, 17);
+    helper_double_28_recursive(buf + 393216, 17);
+    helper_double_28_recursive(buf + 524288, 17);
+    helper_double_28_recursive(buf + 655360, 17);
+    helper_double_28_recursive(buf + 786432, 17);
+    helper_double_28_recursive(buf + 917504, 17);
+    for (int j = 0; j < 1048576; j += 1048576) {
+      for (int k = 0; k < 131072; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 131072), "r"(buf + j + k + 262144), "r"(buf + j + k + 393216), "r"(buf + j + k + 524288), "r"(buf + j + k + 655360), "r"(buf + j + k + 786432), "r"(buf + j + k + 917504) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 23) {
+    helper_double_28_recursive(buf + 0, 20);
+    helper_double_28_recursive(buf + 1048576, 20);
+    helper_double_28_recursive(buf + 2097152, 20);
+    helper_double_28_recursive(buf + 3145728, 20);
+    helper_double_28_recursive(buf + 4194304, 20);
+    helper_double_28_recursive(buf + 5242880, 20);
+    helper_double_28_recursive(buf + 6291456, 20);
+    helper_double_28_recursive(buf + 7340032, 20);
+    for (int j = 0; j < 8388608; j += 8388608) {
+      for (int k = 0; k < 1048576; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1048576), "r"(buf + j + k + 2097152), "r"(buf + j + k + 3145728), "r"(buf + j + k + 4194304), "r"(buf + j + k + 5242880), "r"(buf + j + k + 6291456), "r"(buf + j + k + 7340032) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 26) {
+    helper_double_28_recursive(buf + 0, 23);
+    helper_double_28_recursive(buf + 8388608, 23);
+    helper_double_28_recursive(buf + 16777216, 23);
+    helper_double_28_recursive(buf + 25165824, 23);
+    helper_double_28_recursive(buf + 33554432, 23);
+    helper_double_28_recursive(buf + 41943040, 23);
+    helper_double_28_recursive(buf + 50331648, 23);
+    helper_double_28_recursive(buf + 58720256, 23);
+    for (int j = 0; j < 67108864; j += 67108864) {
+      for (int k = 0; k < 8388608; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8388608), "r"(buf + j + k + 16777216), "r"(buf + j + k + 25165824), "r"(buf + j + k + 33554432), "r"(buf + j + k + 41943040), "r"(buf + j + k + 50331648), "r"(buf + j + k + 58720256) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 28) {
+    helper_double_28_recursive(buf + 0, 26);
+    helper_double_28_recursive(buf + 67108864, 26);
+    helper_double_28_recursive(buf + 134217728, 26);
+    helper_double_28_recursive(buf + 201326592, 26);
+    for (int j = 0; j < 268435456; j += 268435456) {
+      for (int k = 0; k < 67108864; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vmovupd %%ymm0, (%0)\n"
+          "vmovupd %%ymm1, (%1)\n"
+          "vmovupd %%ymm2, (%2)\n"
+          "vmovupd %%ymm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 67108864), "r"(buf + j + k + 134217728), "r"(buf + j + k + 201326592) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_28(double *buf);
+void helper_double_28(double *buf) {
+  helper_double_28_recursive(buf, 28);
+}
+void helper_double_29_recursive(double *buf, int depth);
+void helper_double_29_recursive(double *buf, int depth) {
+  if (depth == 11) {
+    for (int j = 0; j < 2048; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilpd $0, %%ymm4, %%ymm8\n"
+          "vpermilpd $15, %%ymm4, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilpd $0, %%ymm5, %%ymm8\n"
+          "vpermilpd $15, %%ymm5, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilpd $0, %%ymm6, %%ymm8\n"
+          "vpermilpd $15, %%ymm6, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilpd $0, %%ymm7, %%ymm8\n"
+          "vpermilpd $15, %%ymm7, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_double_29_recursive(buf + 0, 11);
+    helper_double_29_recursive(buf + 2048, 11);
+    helper_double_29_recursive(buf + 4096, 11);
+    helper_double_29_recursive(buf + 6144, 11);
+    helper_double_29_recursive(buf + 8192, 11);
+    helper_double_29_recursive(buf + 10240, 11);
+    helper_double_29_recursive(buf + 12288, 11);
+    helper_double_29_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_double_29_recursive(buf + 0, 14);
+    helper_double_29_recursive(buf + 16384, 14);
+    helper_double_29_recursive(buf + 32768, 14);
+    helper_double_29_recursive(buf + 49152, 14);
+    helper_double_29_recursive(buf + 65536, 14);
+    helper_double_29_recursive(buf + 81920, 14);
+    helper_double_29_recursive(buf + 98304, 14);
+    helper_double_29_recursive(buf + 114688, 14);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 16384; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152), "r"(buf + j + k + 65536), "r"(buf + j + k + 81920), "r"(buf + j + k + 98304), "r"(buf + j + k + 114688) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 20) {
+    helper_double_29_recursive(buf + 0, 17);
+    helper_double_29_recursive(buf + 131072, 17);
+    helper_double_29_recursive(buf + 262144, 17);
+    helper_double_29_recursive(buf + 393216, 17);
+    helper_double_29_recursive(buf + 524288, 17);
+    helper_double_29_recursive(buf + 655360, 17);
+    helper_double_29_recursive(buf + 786432, 17);
+    helper_double_29_recursive(buf + 917504, 17);
+    for (int j = 0; j < 1048576; j += 1048576) {
+      for (int k = 0; k < 131072; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 131072), "r"(buf + j + k + 262144), "r"(buf + j + k + 393216), "r"(buf + j + k + 524288), "r"(buf + j + k + 655360), "r"(buf + j + k + 786432), "r"(buf + j + k + 917504) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 23) {
+    helper_double_29_recursive(buf + 0, 20);
+    helper_double_29_recursive(buf + 1048576, 20);
+    helper_double_29_recursive(buf + 2097152, 20);
+    helper_double_29_recursive(buf + 3145728, 20);
+    helper_double_29_recursive(buf + 4194304, 20);
+    helper_double_29_recursive(buf + 5242880, 20);
+    helper_double_29_recursive(buf + 6291456, 20);
+    helper_double_29_recursive(buf + 7340032, 20);
+    for (int j = 0; j < 8388608; j += 8388608) {
+      for (int k = 0; k < 1048576; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1048576), "r"(buf + j + k + 2097152), "r"(buf + j + k + 3145728), "r"(buf + j + k + 4194304), "r"(buf + j + k + 5242880), "r"(buf + j + k + 6291456), "r"(buf + j + k + 7340032) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 26) {
+    helper_double_29_recursive(buf + 0, 23);
+    helper_double_29_recursive(buf + 8388608, 23);
+    helper_double_29_recursive(buf + 16777216, 23);
+    helper_double_29_recursive(buf + 25165824, 23);
+    helper_double_29_recursive(buf + 33554432, 23);
+    helper_double_29_recursive(buf + 41943040, 23);
+    helper_double_29_recursive(buf + 50331648, 23);
+    helper_double_29_recursive(buf + 58720256, 23);
+    for (int j = 0; j < 67108864; j += 67108864) {
+      for (int k = 0; k < 8388608; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8388608), "r"(buf + j + k + 16777216), "r"(buf + j + k + 25165824), "r"(buf + j + k + 33554432), "r"(buf + j + k + 41943040), "r"(buf + j + k + 50331648), "r"(buf + j + k + 58720256) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 29) {
+    helper_double_29_recursive(buf + 0, 26);
+    helper_double_29_recursive(buf + 67108864, 26);
+    helper_double_29_recursive(buf + 134217728, 26);
+    helper_double_29_recursive(buf + 201326592, 26);
+    helper_double_29_recursive(buf + 268435456, 26);
+    helper_double_29_recursive(buf + 335544320, 26);
+    helper_double_29_recursive(buf + 402653184, 26);
+    helper_double_29_recursive(buf + 469762048, 26);
+    for (int j = 0; j < 536870912; j += 536870912) {
+      for (int k = 0; k < 67108864; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 67108864), "r"(buf + j + k + 134217728), "r"(buf + j + k + 201326592), "r"(buf + j + k + 268435456), "r"(buf + j + k + 335544320), "r"(buf + j + k + 402653184), "r"(buf + j + k + 469762048) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_29(double *buf);
+void helper_double_29(double *buf) {
+  helper_double_29_recursive(buf, 29);
+}
+void helper_double_30_recursive(double *buf, int depth);
+void helper_double_30_recursive(double *buf, int depth) {
+  if (depth == 9) {
+    for (int j = 0; j < 512; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vpermilpd $0, %%ymm0, %%ymm8\n"
+          "vpermilpd $15, %%ymm0, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vpermilpd $0, %%ymm1, %%ymm8\n"
+          "vpermilpd $15, %%ymm1, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vpermilpd $0, %%ymm2, %%ymm8\n"
+          "vpermilpd $15, %%ymm2, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vpermilpd $0, %%ymm3, %%ymm8\n"
+          "vpermilpd $15, %%ymm3, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vpermilpd $0, %%ymm4, %%ymm8\n"
+          "vpermilpd $15, %%ymm4, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vpermilpd $0, %%ymm5, %%ymm8\n"
+          "vpermilpd $15, %%ymm5, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vpermilpd $0, %%ymm6, %%ymm8\n"
+          "vpermilpd $15, %%ymm6, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vpermilpd $0, %%ymm7, %%ymm8\n"
+          "vpermilpd $15, %%ymm7, %%ymm9\n"
+          "vxorpd %%ymm10, %%ymm10, %%ymm10\n"
+          "vsubpd %%ymm9, %%ymm10, %%ymm11\n"
+          "vaddsubpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vperm2f128 $0, %%ymm0, %%ymm0, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm0, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm0, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm0\n"
+          "vperm2f128 $0, %%ymm1, %%ymm1, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm1, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm1, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm1\n"
+          "vperm2f128 $0, %%ymm2, %%ymm2, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm2, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm2\n"
+          "vperm2f128 $0, %%ymm3, %%ymm3, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm3, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm3, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm3\n"
+          "vperm2f128 $0, %%ymm4, %%ymm4, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm4, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm4, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm4\n"
+          "vperm2f128 $0, %%ymm5, %%ymm5, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm5, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm5\n"
+          "vperm2f128 $0, %%ymm6, %%ymm6, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm6, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm6, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm6\n"
+          "vperm2f128 $0, %%ymm7, %%ymm7, %%ymm8\n"
+          "vxorpd %%ymm9, %%ymm9, %%ymm9\n"
+          "vsubpd %%ymm7, %%ymm9, %%ymm10\n"
+          "vperm2f128 $49, %%ymm10, %%ymm7, %%ymm11\n"
+          "vaddpd %%ymm11, %%ymm8, %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 512; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 512; j += 512) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 12) {
+    helper_double_30_recursive(buf + 0, 9);
+    helper_double_30_recursive(buf + 512, 9);
+    helper_double_30_recursive(buf + 1024, 9);
+    helper_double_30_recursive(buf + 1536, 9);
+    helper_double_30_recursive(buf + 2048, 9);
+    helper_double_30_recursive(buf + 2560, 9);
+    helper_double_30_recursive(buf + 3072, 9);
+    helper_double_30_recursive(buf + 3584, 9);
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 512; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_double_30_recursive(buf + 0, 12);
+    helper_double_30_recursive(buf + 4096, 12);
+    helper_double_30_recursive(buf + 8192, 12);
+    helper_double_30_recursive(buf + 12288, 12);
+    helper_double_30_recursive(buf + 16384, 12);
+    helper_double_30_recursive(buf + 20480, 12);
+    helper_double_30_recursive(buf + 24576, 12);
+    helper_double_30_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_double_30_recursive(buf + 0, 15);
+    helper_double_30_recursive(buf + 32768, 15);
+    helper_double_30_recursive(buf + 65536, 15);
+    helper_double_30_recursive(buf + 98304, 15);
+    helper_double_30_recursive(buf + 131072, 15);
+    helper_double_30_recursive(buf + 163840, 15);
+    helper_double_30_recursive(buf + 196608, 15);
+    helper_double_30_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_double_30_recursive(buf + 0, 18);
+    helper_double_30_recursive(buf + 262144, 18);
+    helper_double_30_recursive(buf + 524288, 18);
+    helper_double_30_recursive(buf + 786432, 18);
+    helper_double_30_recursive(buf + 1048576, 18);
+    helper_double_30_recursive(buf + 1310720, 18);
+    helper_double_30_recursive(buf + 1572864, 18);
+    helper_double_30_recursive(buf + 1835008, 18);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 262144; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1310720), "r"(buf + j + k + 1572864), "r"(buf + j + k + 1835008) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 24) {
+    helper_double_30_recursive(buf + 0, 21);
+    helper_double_30_recursive(buf + 2097152, 21);
+    helper_double_30_recursive(buf + 4194304, 21);
+    helper_double_30_recursive(buf + 6291456, 21);
+    helper_double_30_recursive(buf + 8388608, 21);
+    helper_double_30_recursive(buf + 10485760, 21);
+    helper_double_30_recursive(buf + 12582912, 21);
+    helper_double_30_recursive(buf + 14680064, 21);
+    for (int j = 0; j < 16777216; j += 16777216) {
+      for (int k = 0; k < 2097152; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2097152), "r"(buf + j + k + 4194304), "r"(buf + j + k + 6291456), "r"(buf + j + k + 8388608), "r"(buf + j + k + 10485760), "r"(buf + j + k + 12582912), "r"(buf + j + k + 14680064) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 27) {
+    helper_double_30_recursive(buf + 0, 24);
+    helper_double_30_recursive(buf + 16777216, 24);
+    helper_double_30_recursive(buf + 33554432, 24);
+    helper_double_30_recursive(buf + 50331648, 24);
+    helper_double_30_recursive(buf + 67108864, 24);
+    helper_double_30_recursive(buf + 83886080, 24);
+    helper_double_30_recursive(buf + 100663296, 24);
+    helper_double_30_recursive(buf + 117440512, 24);
+    for (int j = 0; j < 134217728; j += 134217728) {
+      for (int k = 0; k < 16777216; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16777216), "r"(buf + j + k + 33554432), "r"(buf + j + k + 50331648), "r"(buf + j + k + 67108864), "r"(buf + j + k + 83886080), "r"(buf + j + k + 100663296), "r"(buf + j + k + 117440512) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 30) {
+    helper_double_30_recursive(buf + 0, 27);
+    helper_double_30_recursive(buf + 134217728, 27);
+    helper_double_30_recursive(buf + 268435456, 27);
+    helper_double_30_recursive(buf + 402653184, 27);
+    helper_double_30_recursive(buf + 536870912, 27);
+    helper_double_30_recursive(buf + 671088640, 27);
+    helper_double_30_recursive(buf + 805306368, 27);
+    helper_double_30_recursive(buf + 939524096, 27);
+    for (int j = 0; j < 1073741824; j += 1073741824) {
+      for (int k = 0; k < 134217728; k += 4) {
+        __asm__ volatile (
+          "vmovupd (%0), %%ymm0\n"
+          "vmovupd (%1), %%ymm1\n"
+          "vmovupd (%2), %%ymm2\n"
+          "vmovupd (%3), %%ymm3\n"
+          "vmovupd (%4), %%ymm4\n"
+          "vmovupd (%5), %%ymm5\n"
+          "vmovupd (%6), %%ymm6\n"
+          "vmovupd (%7), %%ymm7\n"
+          "vaddpd %%ymm1, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm1, %%ymm0, %%ymm9\n"
+          "vaddpd %%ymm3, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm3, %%ymm2, %%ymm11\n"
+          "vaddpd %%ymm5, %%ymm4, %%ymm12\n"
+          "vsubpd %%ymm5, %%ymm4, %%ymm13\n"
+          "vaddpd %%ymm7, %%ymm6, %%ymm14\n"
+          "vsubpd %%ymm7, %%ymm6, %%ymm15\n"
+          "vaddpd %%ymm10, %%ymm8, %%ymm0\n"
+          "vsubpd %%ymm10, %%ymm8, %%ymm2\n"
+          "vaddpd %%ymm11, %%ymm9, %%ymm1\n"
+          "vsubpd %%ymm11, %%ymm9, %%ymm3\n"
+          "vaddpd %%ymm14, %%ymm12, %%ymm4\n"
+          "vsubpd %%ymm14, %%ymm12, %%ymm6\n"
+          "vaddpd %%ymm15, %%ymm13, %%ymm5\n"
+          "vsubpd %%ymm15, %%ymm13, %%ymm7\n"
+          "vaddpd %%ymm4, %%ymm0, %%ymm8\n"
+          "vsubpd %%ymm4, %%ymm0, %%ymm12\n"
+          "vaddpd %%ymm5, %%ymm1, %%ymm9\n"
+          "vsubpd %%ymm5, %%ymm1, %%ymm13\n"
+          "vaddpd %%ymm6, %%ymm2, %%ymm10\n"
+          "vsubpd %%ymm6, %%ymm2, %%ymm14\n"
+          "vaddpd %%ymm7, %%ymm3, %%ymm11\n"
+          "vsubpd %%ymm7, %%ymm3, %%ymm15\n"
+          "vmovupd %%ymm8, (%0)\n"
+          "vmovupd %%ymm9, (%1)\n"
+          "vmovupd %%ymm10, (%2)\n"
+          "vmovupd %%ymm11, (%3)\n"
+          "vmovupd %%ymm12, (%4)\n"
+          "vmovupd %%ymm13, (%5)\n"
+          "vmovupd %%ymm14, (%6)\n"
+          "vmovupd %%ymm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 134217728), "r"(buf + j + k + 268435456), "r"(buf + j + k + 402653184), "r"(buf + j + k + 536870912), "r"(buf + j + k + 671088640), "r"(buf + j + k + 805306368), "r"(buf + j + k + 939524096) : "%ymm0", "%ymm1", "%ymm2", "%ymm3", "%ymm4", "%ymm5", "%ymm6", "%ymm7", "%ymm8", "%ymm9", "%ymm10", "%ymm11", "%ymm12", "%ymm13", "%ymm14", "%ymm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_30(double *buf);
+void helper_double_30(double *buf) {
+  helper_double_30_recursive(buf, 30);
+}
+int fht_double(double *buf, int log_n) {
+  if (log_n == 0) {
+    return 0;
+  }
+  if (log_n == 1) {
+    helper_double_1(buf);
+    return 0;
+  }
+  if (log_n == 2) {
+    helper_double_2(buf);
+    return 0;
+  }
+  if (log_n == 3) {
+    helper_double_3(buf);
+    return 0;
+  }
+  if (log_n == 4) {
+    helper_double_4(buf);
+    return 0;
+  }
+  if (log_n == 5) {
+    helper_double_5(buf);
+    return 0;
+  }
+  if (log_n == 6) {
+    helper_double_6(buf);
+    return 0;
+  }
+  if (log_n == 7) {
+    helper_double_7(buf);
+    return 0;
+  }
+  if (log_n == 8) {
+    helper_double_8(buf);
+    return 0;
+  }
+  if (log_n == 9) {
+    helper_double_9(buf);
+    return 0;
+  }
+  if (log_n == 10) {
+    helper_double_10(buf);
+    return 0;
+  }
+  if (log_n == 11) {
+    helper_double_11(buf);
+    return 0;
+  }
+  if (log_n == 12) {
+    helper_double_12(buf);
+    return 0;
+  }
+  if (log_n == 13) {
+    helper_double_13(buf);
+    return 0;
+  }
+  if (log_n == 14) {
+    helper_double_14(buf);
+    return 0;
+  }
+  if (log_n == 15) {
+    helper_double_15(buf);
+    return 0;
+  }
+  if (log_n == 16) {
+    helper_double_16(buf);
+    return 0;
+  }
+  if (log_n == 17) {
+    helper_double_17(buf);
+    return 0;
+  }
+  if (log_n == 18) {
+    helper_double_18(buf);
+    return 0;
+  }
+  if (log_n == 19) {
+    helper_double_19(buf);
+    return 0;
+  }
+  if (log_n == 20) {
+    helper_double_20(buf);
+    return 0;
+  }
+  if (log_n == 21) {
+    helper_double_21(buf);
+    return 0;
+  }
+  if (log_n == 22) {
+    helper_double_22(buf);
+    return 0;
+  }
+  if (log_n == 23) {
+    helper_double_23(buf);
+    return 0;
+  }
+  if (log_n == 24) {
+    helper_double_24(buf);
+    return 0;
+  }
+  if (log_n == 25) {
+    helper_double_25(buf);
+    return 0;
+  }
+  if (log_n == 26) {
+    helper_double_26(buf);
+    return 0;
+  }
+  if (log_n == 27) {
+    helper_double_27(buf);
+    return 0;
+  }
+  if (log_n == 28) {
+    helper_double_28(buf);
+    return 0;
+  }
+  if (log_n == 29) {
+    helper_double_29(buf);
+    return 0;
+  }
+  if (log_n == 30) {
+    helper_double_30(buf);
+    return 0;
+  }
+  return 1;
+}
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/fht_impl.h b/extension/llm/custom_ops/spinquant/third-party/FFHT/fht_impl.h
new file mode 100644
index 0000000000..13ec108650
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/fht_impl.h
@@ -0,0 +1,39 @@
+#ifndef _FHT_IMPL_H__
+#define _FHT_IMPL_H__
+
+#include "fast_copy.h"
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+#ifdef __aarch64__
+#include "fht_neon.c"
+#define VECTOR_WIDTH (16u)
+#else
+#ifdef __AVX__
+#include "fht_avx.c"
+#define VECTOR_WIDTH (32u)
+#else
+#include "fht_sse.c"
+#define VECTOR_WIDTH (16u)
+#endif
+#endif
+
+int fht_float_oop(float* in, float* out, int log_n) {
+  fast_copy(out, in, sizeof(float) << log_n);
+  return fht_float(out, log_n);
+}
+
+#ifndef __aarch64__
+int fht_double_oop(double* in, double* out, int log_n) {
+  fast_copy(out, in, sizeof(double) << log_n);
+  return fht_double(out, log_n);
+}
+#endif
+
+#ifdef __cplusplus
+} // extern "C"
+#endif
+
+#endif // ifndef _FHT_IMPL_H__
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/fht_neon.c b/extension/llm/custom_ops/spinquant/third-party/FFHT/fht_neon.c
new file mode 100644
index 0000000000..3d84ee9619
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/fht_neon.c
@@ -0,0 +1,3019 @@
+// @generated
+#include "fht.h"
+static inline void helper_float_1(float* buf);
+static inline void helper_float_1(float* buf) {
+  for (int j = 0; j < 2; j += 2) {
+    for (int k = 0; k < 1; ++k) {
+      float u = buf[j + k];
+      float v = buf[j + k + 1];
+      buf[j + k] = u + v;
+      buf[j + k + 1] = u - v;
+    }
+  }
+}
+static inline void helper_float_2(float* buf);
+static inline void helper_float_2(float* buf) {
+  for (int j = 0; j < 4; j += 4) {
+    __asm__ volatile(
+        "LD1 {v0.4S}, [%0]\n"
+        "TRN1 v16.4S, v0.4S, v0.4S\n"
+        "FNEG v17.4S, v0.4S\n"
+        "TRN2 v17.4S, v0.4S, v17.4S\n"
+        "FADD v0.4S, v16.4S, v17.4S\n"
+        "DUP v16.2D, v0.D[0]\n"
+        "FNEG v17.4S, v0.4S\n"
+        "INS v17.D[0], v0.D[1]\n"
+        "FADD v0.4S, v16.4S, v17.4S\n"
+        "ST1 {v0.4S}, [%0]\n" ::"r"(buf + j)
+        : "%v0",
+          "%v1",
+          "%v2",
+          "%v3",
+          "%v4",
+          "%v5",
+          "%v6",
+          "%v7",
+          "%v8",
+          "%v9",
+          "%v10",
+          "%v11",
+          "%v12",
+          "%v13",
+          "%v14",
+          "%v15",
+          "%v16",
+          "%v17",
+          "%v18",
+          "%v19",
+          "%v20",
+          "%v21",
+          "%v22",
+          "%v23",
+          "%v24",
+          "%v25",
+          "%v26",
+          "%v27",
+          "%v28",
+          "%v29",
+          "%v30",
+          "%v31",
+          "memory");
+  }
+}
+void helper_float_3_recursive(float* buf, int depth);
+void helper_float_3_recursive(float* buf, int depth) {
+  if (depth == 2) {
+    helper_float_2(buf);
+    return;
+  }
+  if (depth == 3) {
+    helper_float_3_recursive(buf + 0, 2);
+    helper_float_3_recursive(buf + 4, 2);
+    for (int j = 0; j < 8; j += 8) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "ST1 {v16.4S}, [%0]\n"
+            "ST1 {v17.4S}, [%1]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 4)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_3(float* buf);
+void helper_float_3(float* buf) {
+  helper_float_3_recursive(buf, 3);
+}
+void helper_float_4_recursive(float* buf, int depth);
+void helper_float_4_recursive(float* buf, int depth) {
+  if (depth == 3) {
+    helper_float_3(buf);
+    return;
+  }
+  if (depth == 4) {
+    helper_float_4_recursive(buf + 0, 3);
+    helper_float_4_recursive(buf + 8, 3);
+    for (int j = 0; j < 16; j += 16) {
+      for (int k = 0; k < 8; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "ST1 {v16.4S}, [%0]\n"
+            "ST1 {v17.4S}, [%1]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 8)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_4(float* buf);
+void helper_float_4(float* buf) {
+  helper_float_4_recursive(buf, 4);
+}
+void helper_float_5_recursive(float* buf, int depth);
+void helper_float_5_recursive(float* buf, int depth) {
+  if (depth == 4) {
+    helper_float_4(buf);
+    return;
+  }
+  if (depth == 5) {
+    helper_float_5_recursive(buf + 0, 4);
+    helper_float_5_recursive(buf + 16, 4);
+    for (int j = 0; j < 32; j += 32) {
+      for (int k = 0; k < 16; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "ST1 {v16.4S}, [%0]\n"
+            "ST1 {v17.4S}, [%1]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 16)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_5(float* buf);
+void helper_float_5(float* buf) {
+  helper_float_5_recursive(buf, 5);
+}
+void helper_float_6_recursive(float* buf, int depth);
+void helper_float_6_recursive(float* buf, int depth) {
+  if (depth == 3) {
+    helper_float_3(buf);
+    return;
+  }
+  if (depth == 6) {
+    helper_float_6_recursive(buf + 0, 3);
+    helper_float_6_recursive(buf + 8, 3);
+    helper_float_6_recursive(buf + 16, 3);
+    helper_float_6_recursive(buf + 24, 3);
+    helper_float_6_recursive(buf + 32, 3);
+    helper_float_6_recursive(buf + 40, 3);
+    helper_float_6_recursive(buf + 48, 3);
+    helper_float_6_recursive(buf + 56, 3);
+    for (int j = 0; j < 64; j += 64) {
+      for (int k = 0; k < 8; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "LD1 {v2.4S}, [%2]\n"
+            "LD1 {v3.4S}, [%3]\n"
+            "LD1 {v4.4S}, [%4]\n"
+            "LD1 {v5.4S}, [%5]\n"
+            "LD1 {v6.4S}, [%6]\n"
+            "LD1 {v7.4S}, [%7]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "FADD v18.4S, v2.4S, v3.4S\n"
+            "FSUB v19.4S, v2.4S, v3.4S\n"
+            "FADD v20.4S, v4.4S, v5.4S\n"
+            "FSUB v21.4S, v4.4S, v5.4S\n"
+            "FADD v22.4S, v6.4S, v7.4S\n"
+            "FSUB v23.4S, v6.4S, v7.4S\n"
+            "FADD v0.4S, v16.4S, v18.4S\n"
+            "FSUB v2.4S, v16.4S, v18.4S\n"
+            "FADD v1.4S, v17.4S, v19.4S\n"
+            "FSUB v3.4S, v17.4S, v19.4S\n"
+            "FADD v4.4S, v20.4S, v22.4S\n"
+            "FSUB v6.4S, v20.4S, v22.4S\n"
+            "FADD v5.4S, v21.4S, v23.4S\n"
+            "FSUB v7.4S, v21.4S, v23.4S\n"
+            "FADD v16.4S, v0.4S, v4.4S\n"
+            "FSUB v20.4S, v0.4S, v4.4S\n"
+            "FADD v17.4S, v1.4S, v5.4S\n"
+            "FSUB v21.4S, v1.4S, v5.4S\n"
+            "FADD v18.4S, v2.4S, v6.4S\n"
+            "FSUB v22.4S, v2.4S, v6.4S\n"
+            "FADD v19.4S, v3.4S, v7.4S\n"
+            "FSUB v23.4S, v3.4S, v7.4S\n"
+            "ST1 {v16.4S}, [%0]\n"
+            "ST1 {v17.4S}, [%1]\n"
+            "ST1 {v18.4S}, [%2]\n"
+            "ST1 {v19.4S}, [%3]\n"
+            "ST1 {v20.4S}, [%4]\n"
+            "ST1 {v21.4S}, [%5]\n"
+            "ST1 {v22.4S}, [%6]\n"
+            "ST1 {v23.4S}, [%7]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 8),
+            "r"(buf + j + k + 16),
+            "r"(buf + j + k + 24),
+            "r"(buf + j + k + 32),
+            "r"(buf + j + k + 40),
+            "r"(buf + j + k + 48),
+            "r"(buf + j + k + 56)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_6(float* buf);
+void helper_float_6(float* buf) {
+  helper_float_6_recursive(buf, 6);
+}
+void helper_float_7_recursive(float* buf, int depth);
+void helper_float_7_recursive(float* buf, int depth) {
+  if (depth == 3) {
+    helper_float_3(buf);
+    return;
+  }
+  if (depth == 7) {
+    helper_float_7_recursive(buf + 0, 3);
+    helper_float_7_recursive(buf + 8, 3);
+    helper_float_7_recursive(buf + 16, 3);
+    helper_float_7_recursive(buf + 24, 3);
+    helper_float_7_recursive(buf + 32, 3);
+    helper_float_7_recursive(buf + 40, 3);
+    helper_float_7_recursive(buf + 48, 3);
+    helper_float_7_recursive(buf + 56, 3);
+    helper_float_7_recursive(buf + 64, 3);
+    helper_float_7_recursive(buf + 72, 3);
+    helper_float_7_recursive(buf + 80, 3);
+    helper_float_7_recursive(buf + 88, 3);
+    helper_float_7_recursive(buf + 96, 3);
+    helper_float_7_recursive(buf + 104, 3);
+    helper_float_7_recursive(buf + 112, 3);
+    helper_float_7_recursive(buf + 120, 3);
+    for (int j = 0; j < 128; j += 128) {
+      for (int k = 0; k < 8; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "LD1 {v2.4S}, [%2]\n"
+            "LD1 {v3.4S}, [%3]\n"
+            "LD1 {v4.4S}, [%4]\n"
+            "LD1 {v5.4S}, [%5]\n"
+            "LD1 {v6.4S}, [%6]\n"
+            "LD1 {v7.4S}, [%7]\n"
+            "LD1 {v8.4S}, [%8]\n"
+            "LD1 {v9.4S}, [%9]\n"
+            "LD1 {v10.4S}, [%10]\n"
+            "LD1 {v11.4S}, [%11]\n"
+            "LD1 {v12.4S}, [%12]\n"
+            "LD1 {v13.4S}, [%13]\n"
+            "LD1 {v14.4S}, [%14]\n"
+            "LD1 {v15.4S}, [%15]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "FADD v18.4S, v2.4S, v3.4S\n"
+            "FSUB v19.4S, v2.4S, v3.4S\n"
+            "FADD v20.4S, v4.4S, v5.4S\n"
+            "FSUB v21.4S, v4.4S, v5.4S\n"
+            "FADD v22.4S, v6.4S, v7.4S\n"
+            "FSUB v23.4S, v6.4S, v7.4S\n"
+            "FADD v24.4S, v8.4S, v9.4S\n"
+            "FSUB v25.4S, v8.4S, v9.4S\n"
+            "FADD v26.4S, v10.4S, v11.4S\n"
+            "FSUB v27.4S, v10.4S, v11.4S\n"
+            "FADD v28.4S, v12.4S, v13.4S\n"
+            "FSUB v29.4S, v12.4S, v13.4S\n"
+            "FADD v30.4S, v14.4S, v15.4S\n"
+            "FSUB v31.4S, v14.4S, v15.4S\n"
+            "FADD v0.4S, v16.4S, v18.4S\n"
+            "FSUB v2.4S, v16.4S, v18.4S\n"
+            "FADD v1.4S, v17.4S, v19.4S\n"
+            "FSUB v3.4S, v17.4S, v19.4S\n"
+            "FADD v4.4S, v20.4S, v22.4S\n"
+            "FSUB v6.4S, v20.4S, v22.4S\n"
+            "FADD v5.4S, v21.4S, v23.4S\n"
+            "FSUB v7.4S, v21.4S, v23.4S\n"
+            "FADD v8.4S, v24.4S, v26.4S\n"
+            "FSUB v10.4S, v24.4S, v26.4S\n"
+            "FADD v9.4S, v25.4S, v27.4S\n"
+            "FSUB v11.4S, v25.4S, v27.4S\n"
+            "FADD v12.4S, v28.4S, v30.4S\n"
+            "FSUB v14.4S, v28.4S, v30.4S\n"
+            "FADD v13.4S, v29.4S, v31.4S\n"
+            "FSUB v15.4S, v29.4S, v31.4S\n"
+            "FADD v16.4S, v0.4S, v4.4S\n"
+            "FSUB v20.4S, v0.4S, v4.4S\n"
+            "FADD v17.4S, v1.4S, v5.4S\n"
+            "FSUB v21.4S, v1.4S, v5.4S\n"
+            "FADD v18.4S, v2.4S, v6.4S\n"
+            "FSUB v22.4S, v2.4S, v6.4S\n"
+            "FADD v19.4S, v3.4S, v7.4S\n"
+            "FSUB v23.4S, v3.4S, v7.4S\n"
+            "FADD v24.4S, v8.4S, v12.4S\n"
+            "FSUB v28.4S, v8.4S, v12.4S\n"
+            "FADD v25.4S, v9.4S, v13.4S\n"
+            "FSUB v29.4S, v9.4S, v13.4S\n"
+            "FADD v26.4S, v10.4S, v14.4S\n"
+            "FSUB v30.4S, v10.4S, v14.4S\n"
+            "FADD v27.4S, v11.4S, v15.4S\n"
+            "FSUB v31.4S, v11.4S, v15.4S\n"
+            "FADD v0.4S, v16.4S, v24.4S\n"
+            "FSUB v8.4S, v16.4S, v24.4S\n"
+            "FADD v1.4S, v17.4S, v25.4S\n"
+            "FSUB v9.4S, v17.4S, v25.4S\n"
+            "FADD v2.4S, v18.4S, v26.4S\n"
+            "FSUB v10.4S, v18.4S, v26.4S\n"
+            "FADD v3.4S, v19.4S, v27.4S\n"
+            "FSUB v11.4S, v19.4S, v27.4S\n"
+            "FADD v4.4S, v20.4S, v28.4S\n"
+            "FSUB v12.4S, v20.4S, v28.4S\n"
+            "FADD v5.4S, v21.4S, v29.4S\n"
+            "FSUB v13.4S, v21.4S, v29.4S\n"
+            "FADD v6.4S, v22.4S, v30.4S\n"
+            "FSUB v14.4S, v22.4S, v30.4S\n"
+            "FADD v7.4S, v23.4S, v31.4S\n"
+            "FSUB v15.4S, v23.4S, v31.4S\n"
+            "ST1 {v0.4S}, [%0]\n"
+            "ST1 {v1.4S}, [%1]\n"
+            "ST1 {v2.4S}, [%2]\n"
+            "ST1 {v3.4S}, [%3]\n"
+            "ST1 {v4.4S}, [%4]\n"
+            "ST1 {v5.4S}, [%5]\n"
+            "ST1 {v6.4S}, [%6]\n"
+            "ST1 {v7.4S}, [%7]\n"
+            "ST1 {v8.4S}, [%8]\n"
+            "ST1 {v9.4S}, [%9]\n"
+            "ST1 {v10.4S}, [%10]\n"
+            "ST1 {v11.4S}, [%11]\n"
+            "ST1 {v12.4S}, [%12]\n"
+            "ST1 {v13.4S}, [%13]\n"
+            "ST1 {v14.4S}, [%14]\n"
+            "ST1 {v15.4S}, [%15]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 8),
+            "r"(buf + j + k + 16),
+            "r"(buf + j + k + 24),
+            "r"(buf + j + k + 32),
+            "r"(buf + j + k + 40),
+            "r"(buf + j + k + 48),
+            "r"(buf + j + k + 56),
+            "r"(buf + j + k + 64),
+            "r"(buf + j + k + 72),
+            "r"(buf + j + k + 80),
+            "r"(buf + j + k + 88),
+            "r"(buf + j + k + 96),
+            "r"(buf + j + k + 104),
+            "r"(buf + j + k + 112),
+            "r"(buf + j + k + 120)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_7(float* buf);
+void helper_float_7(float* buf) {
+  helper_float_7_recursive(buf, 7);
+}
+static inline void helper_float_8(float* buf);
+static inline void helper_float_8(float* buf) {
+  for (int j = 0; j < 256; j += 64) {
+    for (int k = 0; k < 4; k += 4) {
+      __asm__ volatile(
+          "LD1 {v0.4S}, [%0]\n"
+          "LD1 {v1.4S}, [%1]\n"
+          "LD1 {v2.4S}, [%2]\n"
+          "LD1 {v3.4S}, [%3]\n"
+          "LD1 {v4.4S}, [%4]\n"
+          "LD1 {v5.4S}, [%5]\n"
+          "LD1 {v6.4S}, [%6]\n"
+          "LD1 {v7.4S}, [%7]\n"
+          "LD1 {v8.4S}, [%8]\n"
+          "LD1 {v9.4S}, [%9]\n"
+          "LD1 {v10.4S}, [%10]\n"
+          "LD1 {v11.4S}, [%11]\n"
+          "LD1 {v12.4S}, [%12]\n"
+          "LD1 {v13.4S}, [%13]\n"
+          "LD1 {v14.4S}, [%14]\n"
+          "LD1 {v15.4S}, [%15]\n"
+          "TRN1 v16.4S, v0.4S, v0.4S\n"
+          "FNEG v17.4S, v0.4S\n"
+          "TRN2 v17.4S, v0.4S, v17.4S\n"
+          "FADD v0.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v1.4S, v1.4S\n"
+          "FNEG v17.4S, v1.4S\n"
+          "TRN2 v17.4S, v1.4S, v17.4S\n"
+          "FADD v1.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v2.4S, v2.4S\n"
+          "FNEG v17.4S, v2.4S\n"
+          "TRN2 v17.4S, v2.4S, v17.4S\n"
+          "FADD v2.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v3.4S, v3.4S\n"
+          "FNEG v17.4S, v3.4S\n"
+          "TRN2 v17.4S, v3.4S, v17.4S\n"
+          "FADD v3.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v4.4S, v4.4S\n"
+          "FNEG v17.4S, v4.4S\n"
+          "TRN2 v17.4S, v4.4S, v17.4S\n"
+          "FADD v4.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v5.4S, v5.4S\n"
+          "FNEG v17.4S, v5.4S\n"
+          "TRN2 v17.4S, v5.4S, v17.4S\n"
+          "FADD v5.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v6.4S, v6.4S\n"
+          "FNEG v17.4S, v6.4S\n"
+          "TRN2 v17.4S, v6.4S, v17.4S\n"
+          "FADD v6.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v7.4S, v7.4S\n"
+          "FNEG v17.4S, v7.4S\n"
+          "TRN2 v17.4S, v7.4S, v17.4S\n"
+          "FADD v7.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v8.4S, v8.4S\n"
+          "FNEG v17.4S, v8.4S\n"
+          "TRN2 v17.4S, v8.4S, v17.4S\n"
+          "FADD v8.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v9.4S, v9.4S\n"
+          "FNEG v17.4S, v9.4S\n"
+          "TRN2 v17.4S, v9.4S, v17.4S\n"
+          "FADD v9.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v10.4S, v10.4S\n"
+          "FNEG v17.4S, v10.4S\n"
+          "TRN2 v17.4S, v10.4S, v17.4S\n"
+          "FADD v10.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v11.4S, v11.4S\n"
+          "FNEG v17.4S, v11.4S\n"
+          "TRN2 v17.4S, v11.4S, v17.4S\n"
+          "FADD v11.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v12.4S, v12.4S\n"
+          "FNEG v17.4S, v12.4S\n"
+          "TRN2 v17.4S, v12.4S, v17.4S\n"
+          "FADD v12.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v13.4S, v13.4S\n"
+          "FNEG v17.4S, v13.4S\n"
+          "TRN2 v17.4S, v13.4S, v17.4S\n"
+          "FADD v13.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v14.4S, v14.4S\n"
+          "FNEG v17.4S, v14.4S\n"
+          "TRN2 v17.4S, v14.4S, v17.4S\n"
+          "FADD v14.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v15.4S, v15.4S\n"
+          "FNEG v17.4S, v15.4S\n"
+          "TRN2 v17.4S, v15.4S, v17.4S\n"
+          "FADD v15.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v0.D[0]\n"
+          "FNEG v17.4S, v0.4S\n"
+          "INS v17.D[0], v0.D[1]\n"
+          "FADD v0.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v1.D[0]\n"
+          "FNEG v17.4S, v1.4S\n"
+          "INS v17.D[0], v1.D[1]\n"
+          "FADD v1.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v2.D[0]\n"
+          "FNEG v17.4S, v2.4S\n"
+          "INS v17.D[0], v2.D[1]\n"
+          "FADD v2.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v3.D[0]\n"
+          "FNEG v17.4S, v3.4S\n"
+          "INS v17.D[0], v3.D[1]\n"
+          "FADD v3.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v4.D[0]\n"
+          "FNEG v17.4S, v4.4S\n"
+          "INS v17.D[0], v4.D[1]\n"
+          "FADD v4.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v5.D[0]\n"
+          "FNEG v17.4S, v5.4S\n"
+          "INS v17.D[0], v5.D[1]\n"
+          "FADD v5.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v6.D[0]\n"
+          "FNEG v17.4S, v6.4S\n"
+          "INS v17.D[0], v6.D[1]\n"
+          "FADD v6.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v7.D[0]\n"
+          "FNEG v17.4S, v7.4S\n"
+          "INS v17.D[0], v7.D[1]\n"
+          "FADD v7.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v8.D[0]\n"
+          "FNEG v17.4S, v8.4S\n"
+          "INS v17.D[0], v8.D[1]\n"
+          "FADD v8.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v9.D[0]\n"
+          "FNEG v17.4S, v9.4S\n"
+          "INS v17.D[0], v9.D[1]\n"
+          "FADD v9.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v10.D[0]\n"
+          "FNEG v17.4S, v10.4S\n"
+          "INS v17.D[0], v10.D[1]\n"
+          "FADD v10.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v11.D[0]\n"
+          "FNEG v17.4S, v11.4S\n"
+          "INS v17.D[0], v11.D[1]\n"
+          "FADD v11.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v12.D[0]\n"
+          "FNEG v17.4S, v12.4S\n"
+          "INS v17.D[0], v12.D[1]\n"
+          "FADD v12.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v13.D[0]\n"
+          "FNEG v17.4S, v13.4S\n"
+          "INS v17.D[0], v13.D[1]\n"
+          "FADD v13.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v14.D[0]\n"
+          "FNEG v17.4S, v14.4S\n"
+          "INS v17.D[0], v14.D[1]\n"
+          "FADD v14.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v15.D[0]\n"
+          "FNEG v17.4S, v15.4S\n"
+          "INS v17.D[0], v15.D[1]\n"
+          "FADD v15.4S, v16.4S, v17.4S\n"
+          "FADD v16.4S, v0.4S, v1.4S\n"
+          "FSUB v17.4S, v0.4S, v1.4S\n"
+          "FADD v18.4S, v2.4S, v3.4S\n"
+          "FSUB v19.4S, v2.4S, v3.4S\n"
+          "FADD v20.4S, v4.4S, v5.4S\n"
+          "FSUB v21.4S, v4.4S, v5.4S\n"
+          "FADD v22.4S, v6.4S, v7.4S\n"
+          "FSUB v23.4S, v6.4S, v7.4S\n"
+          "FADD v24.4S, v8.4S, v9.4S\n"
+          "FSUB v25.4S, v8.4S, v9.4S\n"
+          "FADD v26.4S, v10.4S, v11.4S\n"
+          "FSUB v27.4S, v10.4S, v11.4S\n"
+          "FADD v28.4S, v12.4S, v13.4S\n"
+          "FSUB v29.4S, v12.4S, v13.4S\n"
+          "FADD v30.4S, v14.4S, v15.4S\n"
+          "FSUB v31.4S, v14.4S, v15.4S\n"
+          "FADD v0.4S, v16.4S, v18.4S\n"
+          "FSUB v2.4S, v16.4S, v18.4S\n"
+          "FADD v1.4S, v17.4S, v19.4S\n"
+          "FSUB v3.4S, v17.4S, v19.4S\n"
+          "FADD v4.4S, v20.4S, v22.4S\n"
+          "FSUB v6.4S, v20.4S, v22.4S\n"
+          "FADD v5.4S, v21.4S, v23.4S\n"
+          "FSUB v7.4S, v21.4S, v23.4S\n"
+          "FADD v8.4S, v24.4S, v26.4S\n"
+          "FSUB v10.4S, v24.4S, v26.4S\n"
+          "FADD v9.4S, v25.4S, v27.4S\n"
+          "FSUB v11.4S, v25.4S, v27.4S\n"
+          "FADD v12.4S, v28.4S, v30.4S\n"
+          "FSUB v14.4S, v28.4S, v30.4S\n"
+          "FADD v13.4S, v29.4S, v31.4S\n"
+          "FSUB v15.4S, v29.4S, v31.4S\n"
+          "FADD v16.4S, v0.4S, v4.4S\n"
+          "FSUB v20.4S, v0.4S, v4.4S\n"
+          "FADD v17.4S, v1.4S, v5.4S\n"
+          "FSUB v21.4S, v1.4S, v5.4S\n"
+          "FADD v18.4S, v2.4S, v6.4S\n"
+          "FSUB v22.4S, v2.4S, v6.4S\n"
+          "FADD v19.4S, v3.4S, v7.4S\n"
+          "FSUB v23.4S, v3.4S, v7.4S\n"
+          "FADD v24.4S, v8.4S, v12.4S\n"
+          "FSUB v28.4S, v8.4S, v12.4S\n"
+          "FADD v25.4S, v9.4S, v13.4S\n"
+          "FSUB v29.4S, v9.4S, v13.4S\n"
+          "FADD v26.4S, v10.4S, v14.4S\n"
+          "FSUB v30.4S, v10.4S, v14.4S\n"
+          "FADD v27.4S, v11.4S, v15.4S\n"
+          "FSUB v31.4S, v11.4S, v15.4S\n"
+          "FADD v0.4S, v16.4S, v24.4S\n"
+          "FSUB v8.4S, v16.4S, v24.4S\n"
+          "FADD v1.4S, v17.4S, v25.4S\n"
+          "FSUB v9.4S, v17.4S, v25.4S\n"
+          "FADD v2.4S, v18.4S, v26.4S\n"
+          "FSUB v10.4S, v18.4S, v26.4S\n"
+          "FADD v3.4S, v19.4S, v27.4S\n"
+          "FSUB v11.4S, v19.4S, v27.4S\n"
+          "FADD v4.4S, v20.4S, v28.4S\n"
+          "FSUB v12.4S, v20.4S, v28.4S\n"
+          "FADD v5.4S, v21.4S, v29.4S\n"
+          "FSUB v13.4S, v21.4S, v29.4S\n"
+          "FADD v6.4S, v22.4S, v30.4S\n"
+          "FSUB v14.4S, v22.4S, v30.4S\n"
+          "FADD v7.4S, v23.4S, v31.4S\n"
+          "FSUB v15.4S, v23.4S, v31.4S\n"
+          "ST1 {v0.4S}, [%0]\n"
+          "ST1 {v1.4S}, [%1]\n"
+          "ST1 {v2.4S}, [%2]\n"
+          "ST1 {v3.4S}, [%3]\n"
+          "ST1 {v4.4S}, [%4]\n"
+          "ST1 {v5.4S}, [%5]\n"
+          "ST1 {v6.4S}, [%6]\n"
+          "ST1 {v7.4S}, [%7]\n"
+          "ST1 {v8.4S}, [%8]\n"
+          "ST1 {v9.4S}, [%9]\n"
+          "ST1 {v10.4S}, [%10]\n"
+          "ST1 {v11.4S}, [%11]\n"
+          "ST1 {v12.4S}, [%12]\n"
+          "ST1 {v13.4S}, [%13]\n"
+          "ST1 {v14.4S}, [%14]\n"
+          "ST1 {v15.4S}, [%15]\n" ::"r"(buf + j + k + 0),
+          "r"(buf + j + k + 4),
+          "r"(buf + j + k + 8),
+          "r"(buf + j + k + 12),
+          "r"(buf + j + k + 16),
+          "r"(buf + j + k + 20),
+          "r"(buf + j + k + 24),
+          "r"(buf + j + k + 28),
+          "r"(buf + j + k + 32),
+          "r"(buf + j + k + 36),
+          "r"(buf + j + k + 40),
+          "r"(buf + j + k + 44),
+          "r"(buf + j + k + 48),
+          "r"(buf + j + k + 52),
+          "r"(buf + j + k + 56),
+          "r"(buf + j + k + 60)
+          : "%v0",
+            "%v1",
+            "%v2",
+            "%v3",
+            "%v4",
+            "%v5",
+            "%v6",
+            "%v7",
+            "%v8",
+            "%v9",
+            "%v10",
+            "%v11",
+            "%v12",
+            "%v13",
+            "%v14",
+            "%v15",
+            "%v16",
+            "%v17",
+            "%v18",
+            "%v19",
+            "%v20",
+            "%v21",
+            "%v22",
+            "%v23",
+            "%v24",
+            "%v25",
+            "%v26",
+            "%v27",
+            "%v28",
+            "%v29",
+            "%v30",
+            "%v31",
+            "memory");
+    }
+  }
+  for (int j = 0; j < 256; j += 256) {
+    for (int k = 0; k < 64; k += 4) {
+      __asm__ volatile(
+          "LD1 {v0.4S}, [%0]\n"
+          "LD1 {v1.4S}, [%1]\n"
+          "LD1 {v2.4S}, [%2]\n"
+          "LD1 {v3.4S}, [%3]\n"
+          "FADD v16.4S, v0.4S, v1.4S\n"
+          "FSUB v17.4S, v0.4S, v1.4S\n"
+          "FADD v18.4S, v2.4S, v3.4S\n"
+          "FSUB v19.4S, v2.4S, v3.4S\n"
+          "FADD v0.4S, v16.4S, v18.4S\n"
+          "FSUB v2.4S, v16.4S, v18.4S\n"
+          "FADD v1.4S, v17.4S, v19.4S\n"
+          "FSUB v3.4S, v17.4S, v19.4S\n"
+          "ST1 {v0.4S}, [%0]\n"
+          "ST1 {v1.4S}, [%1]\n"
+          "ST1 {v2.4S}, [%2]\n"
+          "ST1 {v3.4S}, [%3]\n" ::"r"(buf + j + k + 0),
+          "r"(buf + j + k + 64),
+          "r"(buf + j + k + 128),
+          "r"(buf + j + k + 192)
+          : "%v0",
+            "%v1",
+            "%v2",
+            "%v3",
+            "%v4",
+            "%v5",
+            "%v6",
+            "%v7",
+            "%v8",
+            "%v9",
+            "%v10",
+            "%v11",
+            "%v12",
+            "%v13",
+            "%v14",
+            "%v15",
+            "%v16",
+            "%v17",
+            "%v18",
+            "%v19",
+            "%v20",
+            "%v21",
+            "%v22",
+            "%v23",
+            "%v24",
+            "%v25",
+            "%v26",
+            "%v27",
+            "%v28",
+            "%v29",
+            "%v30",
+            "%v31",
+            "memory");
+    }
+  }
+}
+void helper_float_9_recursive(float* buf, int depth);
+void helper_float_9_recursive(float* buf, int depth) {
+  if (depth == 8) {
+    helper_float_8(buf);
+    return;
+  }
+  if (depth == 9) {
+    helper_float_9_recursive(buf + 0, 8);
+    helper_float_9_recursive(buf + 256, 8);
+    for (int j = 0; j < 512; j += 512) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "ST1 {v16.4S}, [%0]\n"
+            "ST1 {v17.4S}, [%1]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 256)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_9(float* buf);
+void helper_float_9(float* buf) {
+  helper_float_9_recursive(buf, 9);
+}
+void helper_float_10_recursive(float* buf, int depth);
+void helper_float_10_recursive(float* buf, int depth) {
+  if (depth == 8) {
+    helper_float_8(buf);
+    return;
+  }
+  if (depth == 10) {
+    helper_float_10_recursive(buf + 0, 8);
+    helper_float_10_recursive(buf + 256, 8);
+    helper_float_10_recursive(buf + 512, 8);
+    helper_float_10_recursive(buf + 768, 8);
+    for (int j = 0; j < 1024; j += 1024) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "LD1 {v2.4S}, [%2]\n"
+            "LD1 {v3.4S}, [%3]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "FADD v18.4S, v2.4S, v3.4S\n"
+            "FSUB v19.4S, v2.4S, v3.4S\n"
+            "FADD v0.4S, v16.4S, v18.4S\n"
+            "FSUB v2.4S, v16.4S, v18.4S\n"
+            "FADD v1.4S, v17.4S, v19.4S\n"
+            "FSUB v3.4S, v17.4S, v19.4S\n"
+            "ST1 {v0.4S}, [%0]\n"
+            "ST1 {v1.4S}, [%1]\n"
+            "ST1 {v2.4S}, [%2]\n"
+            "ST1 {v3.4S}, [%3]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 256),
+            "r"(buf + j + k + 512),
+            "r"(buf + j + k + 768)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_10(float* buf);
+void helper_float_10(float* buf) {
+  helper_float_10_recursive(buf, 10);
+}
+void helper_float_11_recursive(float* buf, int depth);
+void helper_float_11_recursive(float* buf, int depth) {
+  if (depth == 10) {
+    helper_float_10(buf);
+    return;
+  }
+  if (depth == 11) {
+    helper_float_11_recursive(buf + 0, 10);
+    helper_float_11_recursive(buf + 1024, 10);
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 1024; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "ST1 {v16.4S}, [%0]\n"
+            "ST1 {v17.4S}, [%1]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 1024)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_11(float* buf);
+void helper_float_11(float* buf) {
+  helper_float_11_recursive(buf, 11);
+}
+void helper_float_12_recursive(float* buf, int depth);
+void helper_float_12_recursive(float* buf, int depth) {
+  if (depth == 10) {
+    helper_float_10(buf);
+    return;
+  }
+  if (depth == 12) {
+    helper_float_12_recursive(buf + 0, 10);
+    helper_float_12_recursive(buf + 1024, 10);
+    helper_float_12_recursive(buf + 2048, 10);
+    helper_float_12_recursive(buf + 3072, 10);
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 1024; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "LD1 {v2.4S}, [%2]\n"
+            "LD1 {v3.4S}, [%3]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "FADD v18.4S, v2.4S, v3.4S\n"
+            "FSUB v19.4S, v2.4S, v3.4S\n"
+            "FADD v0.4S, v16.4S, v18.4S\n"
+            "FSUB v2.4S, v16.4S, v18.4S\n"
+            "FADD v1.4S, v17.4S, v19.4S\n"
+            "FSUB v3.4S, v17.4S, v19.4S\n"
+            "ST1 {v0.4S}, [%0]\n"
+            "ST1 {v1.4S}, [%1]\n"
+            "ST1 {v2.4S}, [%2]\n"
+            "ST1 {v3.4S}, [%3]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 1024),
+            "r"(buf + j + k + 2048),
+            "r"(buf + j + k + 3072)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_12(float* buf);
+void helper_float_12(float* buf) {
+  helper_float_12_recursive(buf, 12);
+}
+static inline void helper_float_13(float* buf);
+static inline void helper_float_13(float* buf) {
+  for (int j = 0; j < 8192; j += 64) {
+    for (int k = 0; k < 4; k += 4) {
+      __asm__ volatile(
+          "LD1 {v0.4S}, [%0]\n"
+          "LD1 {v1.4S}, [%1]\n"
+          "LD1 {v2.4S}, [%2]\n"
+          "LD1 {v3.4S}, [%3]\n"
+          "LD1 {v4.4S}, [%4]\n"
+          "LD1 {v5.4S}, [%5]\n"
+          "LD1 {v6.4S}, [%6]\n"
+          "LD1 {v7.4S}, [%7]\n"
+          "LD1 {v8.4S}, [%8]\n"
+          "LD1 {v9.4S}, [%9]\n"
+          "LD1 {v10.4S}, [%10]\n"
+          "LD1 {v11.4S}, [%11]\n"
+          "LD1 {v12.4S}, [%12]\n"
+          "LD1 {v13.4S}, [%13]\n"
+          "LD1 {v14.4S}, [%14]\n"
+          "LD1 {v15.4S}, [%15]\n"
+          "TRN1 v16.4S, v0.4S, v0.4S\n"
+          "FNEG v17.4S, v0.4S\n"
+          "TRN2 v17.4S, v0.4S, v17.4S\n"
+          "FADD v0.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v1.4S, v1.4S\n"
+          "FNEG v17.4S, v1.4S\n"
+          "TRN2 v17.4S, v1.4S, v17.4S\n"
+          "FADD v1.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v2.4S, v2.4S\n"
+          "FNEG v17.4S, v2.4S\n"
+          "TRN2 v17.4S, v2.4S, v17.4S\n"
+          "FADD v2.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v3.4S, v3.4S\n"
+          "FNEG v17.4S, v3.4S\n"
+          "TRN2 v17.4S, v3.4S, v17.4S\n"
+          "FADD v3.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v4.4S, v4.4S\n"
+          "FNEG v17.4S, v4.4S\n"
+          "TRN2 v17.4S, v4.4S, v17.4S\n"
+          "FADD v4.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v5.4S, v5.4S\n"
+          "FNEG v17.4S, v5.4S\n"
+          "TRN2 v17.4S, v5.4S, v17.4S\n"
+          "FADD v5.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v6.4S, v6.4S\n"
+          "FNEG v17.4S, v6.4S\n"
+          "TRN2 v17.4S, v6.4S, v17.4S\n"
+          "FADD v6.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v7.4S, v7.4S\n"
+          "FNEG v17.4S, v7.4S\n"
+          "TRN2 v17.4S, v7.4S, v17.4S\n"
+          "FADD v7.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v8.4S, v8.4S\n"
+          "FNEG v17.4S, v8.4S\n"
+          "TRN2 v17.4S, v8.4S, v17.4S\n"
+          "FADD v8.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v9.4S, v9.4S\n"
+          "FNEG v17.4S, v9.4S\n"
+          "TRN2 v17.4S, v9.4S, v17.4S\n"
+          "FADD v9.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v10.4S, v10.4S\n"
+          "FNEG v17.4S, v10.4S\n"
+          "TRN2 v17.4S, v10.4S, v17.4S\n"
+          "FADD v10.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v11.4S, v11.4S\n"
+          "FNEG v17.4S, v11.4S\n"
+          "TRN2 v17.4S, v11.4S, v17.4S\n"
+          "FADD v11.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v12.4S, v12.4S\n"
+          "FNEG v17.4S, v12.4S\n"
+          "TRN2 v17.4S, v12.4S, v17.4S\n"
+          "FADD v12.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v13.4S, v13.4S\n"
+          "FNEG v17.4S, v13.4S\n"
+          "TRN2 v17.4S, v13.4S, v17.4S\n"
+          "FADD v13.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v14.4S, v14.4S\n"
+          "FNEG v17.4S, v14.4S\n"
+          "TRN2 v17.4S, v14.4S, v17.4S\n"
+          "FADD v14.4S, v16.4S, v17.4S\n"
+          "TRN1 v16.4S, v15.4S, v15.4S\n"
+          "FNEG v17.4S, v15.4S\n"
+          "TRN2 v17.4S, v15.4S, v17.4S\n"
+          "FADD v15.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v0.D[0]\n"
+          "FNEG v17.4S, v0.4S\n"
+          "INS v17.D[0], v0.D[1]\n"
+          "FADD v0.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v1.D[0]\n"
+          "FNEG v17.4S, v1.4S\n"
+          "INS v17.D[0], v1.D[1]\n"
+          "FADD v1.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v2.D[0]\n"
+          "FNEG v17.4S, v2.4S\n"
+          "INS v17.D[0], v2.D[1]\n"
+          "FADD v2.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v3.D[0]\n"
+          "FNEG v17.4S, v3.4S\n"
+          "INS v17.D[0], v3.D[1]\n"
+          "FADD v3.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v4.D[0]\n"
+          "FNEG v17.4S, v4.4S\n"
+          "INS v17.D[0], v4.D[1]\n"
+          "FADD v4.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v5.D[0]\n"
+          "FNEG v17.4S, v5.4S\n"
+          "INS v17.D[0], v5.D[1]\n"
+          "FADD v5.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v6.D[0]\n"
+          "FNEG v17.4S, v6.4S\n"
+          "INS v17.D[0], v6.D[1]\n"
+          "FADD v6.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v7.D[0]\n"
+          "FNEG v17.4S, v7.4S\n"
+          "INS v17.D[0], v7.D[1]\n"
+          "FADD v7.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v8.D[0]\n"
+          "FNEG v17.4S, v8.4S\n"
+          "INS v17.D[0], v8.D[1]\n"
+          "FADD v8.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v9.D[0]\n"
+          "FNEG v17.4S, v9.4S\n"
+          "INS v17.D[0], v9.D[1]\n"
+          "FADD v9.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v10.D[0]\n"
+          "FNEG v17.4S, v10.4S\n"
+          "INS v17.D[0], v10.D[1]\n"
+          "FADD v10.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v11.D[0]\n"
+          "FNEG v17.4S, v11.4S\n"
+          "INS v17.D[0], v11.D[1]\n"
+          "FADD v11.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v12.D[0]\n"
+          "FNEG v17.4S, v12.4S\n"
+          "INS v17.D[0], v12.D[1]\n"
+          "FADD v12.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v13.D[0]\n"
+          "FNEG v17.4S, v13.4S\n"
+          "INS v17.D[0], v13.D[1]\n"
+          "FADD v13.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v14.D[0]\n"
+          "FNEG v17.4S, v14.4S\n"
+          "INS v17.D[0], v14.D[1]\n"
+          "FADD v14.4S, v16.4S, v17.4S\n"
+          "DUP v16.2D, v15.D[0]\n"
+          "FNEG v17.4S, v15.4S\n"
+          "INS v17.D[0], v15.D[1]\n"
+          "FADD v15.4S, v16.4S, v17.4S\n"
+          "FADD v16.4S, v0.4S, v1.4S\n"
+          "FSUB v17.4S, v0.4S, v1.4S\n"
+          "FADD v18.4S, v2.4S, v3.4S\n"
+          "FSUB v19.4S, v2.4S, v3.4S\n"
+          "FADD v20.4S, v4.4S, v5.4S\n"
+          "FSUB v21.4S, v4.4S, v5.4S\n"
+          "FADD v22.4S, v6.4S, v7.4S\n"
+          "FSUB v23.4S, v6.4S, v7.4S\n"
+          "FADD v24.4S, v8.4S, v9.4S\n"
+          "FSUB v25.4S, v8.4S, v9.4S\n"
+          "FADD v26.4S, v10.4S, v11.4S\n"
+          "FSUB v27.4S, v10.4S, v11.4S\n"
+          "FADD v28.4S, v12.4S, v13.4S\n"
+          "FSUB v29.4S, v12.4S, v13.4S\n"
+          "FADD v30.4S, v14.4S, v15.4S\n"
+          "FSUB v31.4S, v14.4S, v15.4S\n"
+          "FADD v0.4S, v16.4S, v18.4S\n"
+          "FSUB v2.4S, v16.4S, v18.4S\n"
+          "FADD v1.4S, v17.4S, v19.4S\n"
+          "FSUB v3.4S, v17.4S, v19.4S\n"
+          "FADD v4.4S, v20.4S, v22.4S\n"
+          "FSUB v6.4S, v20.4S, v22.4S\n"
+          "FADD v5.4S, v21.4S, v23.4S\n"
+          "FSUB v7.4S, v21.4S, v23.4S\n"
+          "FADD v8.4S, v24.4S, v26.4S\n"
+          "FSUB v10.4S, v24.4S, v26.4S\n"
+          "FADD v9.4S, v25.4S, v27.4S\n"
+          "FSUB v11.4S, v25.4S, v27.4S\n"
+          "FADD v12.4S, v28.4S, v30.4S\n"
+          "FSUB v14.4S, v28.4S, v30.4S\n"
+          "FADD v13.4S, v29.4S, v31.4S\n"
+          "FSUB v15.4S, v29.4S, v31.4S\n"
+          "FADD v16.4S, v0.4S, v4.4S\n"
+          "FSUB v20.4S, v0.4S, v4.4S\n"
+          "FADD v17.4S, v1.4S, v5.4S\n"
+          "FSUB v21.4S, v1.4S, v5.4S\n"
+          "FADD v18.4S, v2.4S, v6.4S\n"
+          "FSUB v22.4S, v2.4S, v6.4S\n"
+          "FADD v19.4S, v3.4S, v7.4S\n"
+          "FSUB v23.4S, v3.4S, v7.4S\n"
+          "FADD v24.4S, v8.4S, v12.4S\n"
+          "FSUB v28.4S, v8.4S, v12.4S\n"
+          "FADD v25.4S, v9.4S, v13.4S\n"
+          "FSUB v29.4S, v9.4S, v13.4S\n"
+          "FADD v26.4S, v10.4S, v14.4S\n"
+          "FSUB v30.4S, v10.4S, v14.4S\n"
+          "FADD v27.4S, v11.4S, v15.4S\n"
+          "FSUB v31.4S, v11.4S, v15.4S\n"
+          "FADD v0.4S, v16.4S, v24.4S\n"
+          "FSUB v8.4S, v16.4S, v24.4S\n"
+          "FADD v1.4S, v17.4S, v25.4S\n"
+          "FSUB v9.4S, v17.4S, v25.4S\n"
+          "FADD v2.4S, v18.4S, v26.4S\n"
+          "FSUB v10.4S, v18.4S, v26.4S\n"
+          "FADD v3.4S, v19.4S, v27.4S\n"
+          "FSUB v11.4S, v19.4S, v27.4S\n"
+          "FADD v4.4S, v20.4S, v28.4S\n"
+          "FSUB v12.4S, v20.4S, v28.4S\n"
+          "FADD v5.4S, v21.4S, v29.4S\n"
+          "FSUB v13.4S, v21.4S, v29.4S\n"
+          "FADD v6.4S, v22.4S, v30.4S\n"
+          "FSUB v14.4S, v22.4S, v30.4S\n"
+          "FADD v7.4S, v23.4S, v31.4S\n"
+          "FSUB v15.4S, v23.4S, v31.4S\n"
+          "ST1 {v0.4S}, [%0]\n"
+          "ST1 {v1.4S}, [%1]\n"
+          "ST1 {v2.4S}, [%2]\n"
+          "ST1 {v3.4S}, [%3]\n"
+          "ST1 {v4.4S}, [%4]\n"
+          "ST1 {v5.4S}, [%5]\n"
+          "ST1 {v6.4S}, [%6]\n"
+          "ST1 {v7.4S}, [%7]\n"
+          "ST1 {v8.4S}, [%8]\n"
+          "ST1 {v9.4S}, [%9]\n"
+          "ST1 {v10.4S}, [%10]\n"
+          "ST1 {v11.4S}, [%11]\n"
+          "ST1 {v12.4S}, [%12]\n"
+          "ST1 {v13.4S}, [%13]\n"
+          "ST1 {v14.4S}, [%14]\n"
+          "ST1 {v15.4S}, [%15]\n" ::"r"(buf + j + k + 0),
+          "r"(buf + j + k + 4),
+          "r"(buf + j + k + 8),
+          "r"(buf + j + k + 12),
+          "r"(buf + j + k + 16),
+          "r"(buf + j + k + 20),
+          "r"(buf + j + k + 24),
+          "r"(buf + j + k + 28),
+          "r"(buf + j + k + 32),
+          "r"(buf + j + k + 36),
+          "r"(buf + j + k + 40),
+          "r"(buf + j + k + 44),
+          "r"(buf + j + k + 48),
+          "r"(buf + j + k + 52),
+          "r"(buf + j + k + 56),
+          "r"(buf + j + k + 60)
+          : "%v0",
+            "%v1",
+            "%v2",
+            "%v3",
+            "%v4",
+            "%v5",
+            "%v6",
+            "%v7",
+            "%v8",
+            "%v9",
+            "%v10",
+            "%v11",
+            "%v12",
+            "%v13",
+            "%v14",
+            "%v15",
+            "%v16",
+            "%v17",
+            "%v18",
+            "%v19",
+            "%v20",
+            "%v21",
+            "%v22",
+            "%v23",
+            "%v24",
+            "%v25",
+            "%v26",
+            "%v27",
+            "%v28",
+            "%v29",
+            "%v30",
+            "%v31",
+            "memory");
+    }
+  }
+  for (int j = 0; j < 8192; j += 1024) {
+    for (int k = 0; k < 64; k += 4) {
+      __asm__ volatile(
+          "LD1 {v0.4S}, [%0]\n"
+          "LD1 {v1.4S}, [%1]\n"
+          "LD1 {v2.4S}, [%2]\n"
+          "LD1 {v3.4S}, [%3]\n"
+          "LD1 {v4.4S}, [%4]\n"
+          "LD1 {v5.4S}, [%5]\n"
+          "LD1 {v6.4S}, [%6]\n"
+          "LD1 {v7.4S}, [%7]\n"
+          "LD1 {v8.4S}, [%8]\n"
+          "LD1 {v9.4S}, [%9]\n"
+          "LD1 {v10.4S}, [%10]\n"
+          "LD1 {v11.4S}, [%11]\n"
+          "LD1 {v12.4S}, [%12]\n"
+          "LD1 {v13.4S}, [%13]\n"
+          "LD1 {v14.4S}, [%14]\n"
+          "LD1 {v15.4S}, [%15]\n"
+          "FADD v16.4S, v0.4S, v1.4S\n"
+          "FSUB v17.4S, v0.4S, v1.4S\n"
+          "FADD v18.4S, v2.4S, v3.4S\n"
+          "FSUB v19.4S, v2.4S, v3.4S\n"
+          "FADD v20.4S, v4.4S, v5.4S\n"
+          "FSUB v21.4S, v4.4S, v5.4S\n"
+          "FADD v22.4S, v6.4S, v7.4S\n"
+          "FSUB v23.4S, v6.4S, v7.4S\n"
+          "FADD v24.4S, v8.4S, v9.4S\n"
+          "FSUB v25.4S, v8.4S, v9.4S\n"
+          "FADD v26.4S, v10.4S, v11.4S\n"
+          "FSUB v27.4S, v10.4S, v11.4S\n"
+          "FADD v28.4S, v12.4S, v13.4S\n"
+          "FSUB v29.4S, v12.4S, v13.4S\n"
+          "FADD v30.4S, v14.4S, v15.4S\n"
+          "FSUB v31.4S, v14.4S, v15.4S\n"
+          "FADD v0.4S, v16.4S, v18.4S\n"
+          "FSUB v2.4S, v16.4S, v18.4S\n"
+          "FADD v1.4S, v17.4S, v19.4S\n"
+          "FSUB v3.4S, v17.4S, v19.4S\n"
+          "FADD v4.4S, v20.4S, v22.4S\n"
+          "FSUB v6.4S, v20.4S, v22.4S\n"
+          "FADD v5.4S, v21.4S, v23.4S\n"
+          "FSUB v7.4S, v21.4S, v23.4S\n"
+          "FADD v8.4S, v24.4S, v26.4S\n"
+          "FSUB v10.4S, v24.4S, v26.4S\n"
+          "FADD v9.4S, v25.4S, v27.4S\n"
+          "FSUB v11.4S, v25.4S, v27.4S\n"
+          "FADD v12.4S, v28.4S, v30.4S\n"
+          "FSUB v14.4S, v28.4S, v30.4S\n"
+          "FADD v13.4S, v29.4S, v31.4S\n"
+          "FSUB v15.4S, v29.4S, v31.4S\n"
+          "FADD v16.4S, v0.4S, v4.4S\n"
+          "FSUB v20.4S, v0.4S, v4.4S\n"
+          "FADD v17.4S, v1.4S, v5.4S\n"
+          "FSUB v21.4S, v1.4S, v5.4S\n"
+          "FADD v18.4S, v2.4S, v6.4S\n"
+          "FSUB v22.4S, v2.4S, v6.4S\n"
+          "FADD v19.4S, v3.4S, v7.4S\n"
+          "FSUB v23.4S, v3.4S, v7.4S\n"
+          "FADD v24.4S, v8.4S, v12.4S\n"
+          "FSUB v28.4S, v8.4S, v12.4S\n"
+          "FADD v25.4S, v9.4S, v13.4S\n"
+          "FSUB v29.4S, v9.4S, v13.4S\n"
+          "FADD v26.4S, v10.4S, v14.4S\n"
+          "FSUB v30.4S, v10.4S, v14.4S\n"
+          "FADD v27.4S, v11.4S, v15.4S\n"
+          "FSUB v31.4S, v11.4S, v15.4S\n"
+          "FADD v0.4S, v16.4S, v24.4S\n"
+          "FSUB v8.4S, v16.4S, v24.4S\n"
+          "FADD v1.4S, v17.4S, v25.4S\n"
+          "FSUB v9.4S, v17.4S, v25.4S\n"
+          "FADD v2.4S, v18.4S, v26.4S\n"
+          "FSUB v10.4S, v18.4S, v26.4S\n"
+          "FADD v3.4S, v19.4S, v27.4S\n"
+          "FSUB v11.4S, v19.4S, v27.4S\n"
+          "FADD v4.4S, v20.4S, v28.4S\n"
+          "FSUB v12.4S, v20.4S, v28.4S\n"
+          "FADD v5.4S, v21.4S, v29.4S\n"
+          "FSUB v13.4S, v21.4S, v29.4S\n"
+          "FADD v6.4S, v22.4S, v30.4S\n"
+          "FSUB v14.4S, v22.4S, v30.4S\n"
+          "FADD v7.4S, v23.4S, v31.4S\n"
+          "FSUB v15.4S, v23.4S, v31.4S\n"
+          "ST1 {v0.4S}, [%0]\n"
+          "ST1 {v1.4S}, [%1]\n"
+          "ST1 {v2.4S}, [%2]\n"
+          "ST1 {v3.4S}, [%3]\n"
+          "ST1 {v4.4S}, [%4]\n"
+          "ST1 {v5.4S}, [%5]\n"
+          "ST1 {v6.4S}, [%6]\n"
+          "ST1 {v7.4S}, [%7]\n"
+          "ST1 {v8.4S}, [%8]\n"
+          "ST1 {v9.4S}, [%9]\n"
+          "ST1 {v10.4S}, [%10]\n"
+          "ST1 {v11.4S}, [%11]\n"
+          "ST1 {v12.4S}, [%12]\n"
+          "ST1 {v13.4S}, [%13]\n"
+          "ST1 {v14.4S}, [%14]\n"
+          "ST1 {v15.4S}, [%15]\n" ::"r"(buf + j + k + 0),
+          "r"(buf + j + k + 64),
+          "r"(buf + j + k + 128),
+          "r"(buf + j + k + 192),
+          "r"(buf + j + k + 256),
+          "r"(buf + j + k + 320),
+          "r"(buf + j + k + 384),
+          "r"(buf + j + k + 448),
+          "r"(buf + j + k + 512),
+          "r"(buf + j + k + 576),
+          "r"(buf + j + k + 640),
+          "r"(buf + j + k + 704),
+          "r"(buf + j + k + 768),
+          "r"(buf + j + k + 832),
+          "r"(buf + j + k + 896),
+          "r"(buf + j + k + 960)
+          : "%v0",
+            "%v1",
+            "%v2",
+            "%v3",
+            "%v4",
+            "%v5",
+            "%v6",
+            "%v7",
+            "%v8",
+            "%v9",
+            "%v10",
+            "%v11",
+            "%v12",
+            "%v13",
+            "%v14",
+            "%v15",
+            "%v16",
+            "%v17",
+            "%v18",
+            "%v19",
+            "%v20",
+            "%v21",
+            "%v22",
+            "%v23",
+            "%v24",
+            "%v25",
+            "%v26",
+            "%v27",
+            "%v28",
+            "%v29",
+            "%v30",
+            "%v31",
+            "memory");
+    }
+  }
+  for (int j = 0; j < 8192; j += 8192) {
+    for (int k = 0; k < 1024; k += 4) {
+      __asm__ volatile(
+          "LD1 {v0.4S}, [%0]\n"
+          "LD1 {v1.4S}, [%1]\n"
+          "LD1 {v2.4S}, [%2]\n"
+          "LD1 {v3.4S}, [%3]\n"
+          "LD1 {v4.4S}, [%4]\n"
+          "LD1 {v5.4S}, [%5]\n"
+          "LD1 {v6.4S}, [%6]\n"
+          "LD1 {v7.4S}, [%7]\n"
+          "FADD v16.4S, v0.4S, v1.4S\n"
+          "FSUB v17.4S, v0.4S, v1.4S\n"
+          "FADD v18.4S, v2.4S, v3.4S\n"
+          "FSUB v19.4S, v2.4S, v3.4S\n"
+          "FADD v20.4S, v4.4S, v5.4S\n"
+          "FSUB v21.4S, v4.4S, v5.4S\n"
+          "FADD v22.4S, v6.4S, v7.4S\n"
+          "FSUB v23.4S, v6.4S, v7.4S\n"
+          "FADD v0.4S, v16.4S, v18.4S\n"
+          "FSUB v2.4S, v16.4S, v18.4S\n"
+          "FADD v1.4S, v17.4S, v19.4S\n"
+          "FSUB v3.4S, v17.4S, v19.4S\n"
+          "FADD v4.4S, v20.4S, v22.4S\n"
+          "FSUB v6.4S, v20.4S, v22.4S\n"
+          "FADD v5.4S, v21.4S, v23.4S\n"
+          "FSUB v7.4S, v21.4S, v23.4S\n"
+          "FADD v16.4S, v0.4S, v4.4S\n"
+          "FSUB v20.4S, v0.4S, v4.4S\n"
+          "FADD v17.4S, v1.4S, v5.4S\n"
+          "FSUB v21.4S, v1.4S, v5.4S\n"
+          "FADD v18.4S, v2.4S, v6.4S\n"
+          "FSUB v22.4S, v2.4S, v6.4S\n"
+          "FADD v19.4S, v3.4S, v7.4S\n"
+          "FSUB v23.4S, v3.4S, v7.4S\n"
+          "ST1 {v16.4S}, [%0]\n"
+          "ST1 {v17.4S}, [%1]\n"
+          "ST1 {v18.4S}, [%2]\n"
+          "ST1 {v19.4S}, [%3]\n"
+          "ST1 {v20.4S}, [%4]\n"
+          "ST1 {v21.4S}, [%5]\n"
+          "ST1 {v22.4S}, [%6]\n"
+          "ST1 {v23.4S}, [%7]\n" ::"r"(buf + j + k + 0),
+          "r"(buf + j + k + 1024),
+          "r"(buf + j + k + 2048),
+          "r"(buf + j + k + 3072),
+          "r"(buf + j + k + 4096),
+          "r"(buf + j + k + 5120),
+          "r"(buf + j + k + 6144),
+          "r"(buf + j + k + 7168)
+          : "%v0",
+            "%v1",
+            "%v2",
+            "%v3",
+            "%v4",
+            "%v5",
+            "%v6",
+            "%v7",
+            "%v8",
+            "%v9",
+            "%v10",
+            "%v11",
+            "%v12",
+            "%v13",
+            "%v14",
+            "%v15",
+            "%v16",
+            "%v17",
+            "%v18",
+            "%v19",
+            "%v20",
+            "%v21",
+            "%v22",
+            "%v23",
+            "%v24",
+            "%v25",
+            "%v26",
+            "%v27",
+            "%v28",
+            "%v29",
+            "%v30",
+            "%v31",
+            "memory");
+    }
+  }
+}
+void helper_float_14_recursive(float* buf, int depth);
+void helper_float_14_recursive(float* buf, int depth) {
+  if (depth == 10) {
+    helper_float_10(buf);
+    return;
+  }
+  if (depth == 14) {
+    helper_float_14_recursive(buf + 0, 10);
+    helper_float_14_recursive(buf + 1024, 10);
+    helper_float_14_recursive(buf + 2048, 10);
+    helper_float_14_recursive(buf + 3072, 10);
+    helper_float_14_recursive(buf + 4096, 10);
+    helper_float_14_recursive(buf + 5120, 10);
+    helper_float_14_recursive(buf + 6144, 10);
+    helper_float_14_recursive(buf + 7168, 10);
+    helper_float_14_recursive(buf + 8192, 10);
+    helper_float_14_recursive(buf + 9216, 10);
+    helper_float_14_recursive(buf + 10240, 10);
+    helper_float_14_recursive(buf + 11264, 10);
+    helper_float_14_recursive(buf + 12288, 10);
+    helper_float_14_recursive(buf + 13312, 10);
+    helper_float_14_recursive(buf + 14336, 10);
+    helper_float_14_recursive(buf + 15360, 10);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 1024; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "LD1 {v2.4S}, [%2]\n"
+            "LD1 {v3.4S}, [%3]\n"
+            "LD1 {v4.4S}, [%4]\n"
+            "LD1 {v5.4S}, [%5]\n"
+            "LD1 {v6.4S}, [%6]\n"
+            "LD1 {v7.4S}, [%7]\n"
+            "LD1 {v8.4S}, [%8]\n"
+            "LD1 {v9.4S}, [%9]\n"
+            "LD1 {v10.4S}, [%10]\n"
+            "LD1 {v11.4S}, [%11]\n"
+            "LD1 {v12.4S}, [%12]\n"
+            "LD1 {v13.4S}, [%13]\n"
+            "LD1 {v14.4S}, [%14]\n"
+            "LD1 {v15.4S}, [%15]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "FADD v18.4S, v2.4S, v3.4S\n"
+            "FSUB v19.4S, v2.4S, v3.4S\n"
+            "FADD v20.4S, v4.4S, v5.4S\n"
+            "FSUB v21.4S, v4.4S, v5.4S\n"
+            "FADD v22.4S, v6.4S, v7.4S\n"
+            "FSUB v23.4S, v6.4S, v7.4S\n"
+            "FADD v24.4S, v8.4S, v9.4S\n"
+            "FSUB v25.4S, v8.4S, v9.4S\n"
+            "FADD v26.4S, v10.4S, v11.4S\n"
+            "FSUB v27.4S, v10.4S, v11.4S\n"
+            "FADD v28.4S, v12.4S, v13.4S\n"
+            "FSUB v29.4S, v12.4S, v13.4S\n"
+            "FADD v30.4S, v14.4S, v15.4S\n"
+            "FSUB v31.4S, v14.4S, v15.4S\n"
+            "FADD v0.4S, v16.4S, v18.4S\n"
+            "FSUB v2.4S, v16.4S, v18.4S\n"
+            "FADD v1.4S, v17.4S, v19.4S\n"
+            "FSUB v3.4S, v17.4S, v19.4S\n"
+            "FADD v4.4S, v20.4S, v22.4S\n"
+            "FSUB v6.4S, v20.4S, v22.4S\n"
+            "FADD v5.4S, v21.4S, v23.4S\n"
+            "FSUB v7.4S, v21.4S, v23.4S\n"
+            "FADD v8.4S, v24.4S, v26.4S\n"
+            "FSUB v10.4S, v24.4S, v26.4S\n"
+            "FADD v9.4S, v25.4S, v27.4S\n"
+            "FSUB v11.4S, v25.4S, v27.4S\n"
+            "FADD v12.4S, v28.4S, v30.4S\n"
+            "FSUB v14.4S, v28.4S, v30.4S\n"
+            "FADD v13.4S, v29.4S, v31.4S\n"
+            "FSUB v15.4S, v29.4S, v31.4S\n"
+            "FADD v16.4S, v0.4S, v4.4S\n"
+            "FSUB v20.4S, v0.4S, v4.4S\n"
+            "FADD v17.4S, v1.4S, v5.4S\n"
+            "FSUB v21.4S, v1.4S, v5.4S\n"
+            "FADD v18.4S, v2.4S, v6.4S\n"
+            "FSUB v22.4S, v2.4S, v6.4S\n"
+            "FADD v19.4S, v3.4S, v7.4S\n"
+            "FSUB v23.4S, v3.4S, v7.4S\n"
+            "FADD v24.4S, v8.4S, v12.4S\n"
+            "FSUB v28.4S, v8.4S, v12.4S\n"
+            "FADD v25.4S, v9.4S, v13.4S\n"
+            "FSUB v29.4S, v9.4S, v13.4S\n"
+            "FADD v26.4S, v10.4S, v14.4S\n"
+            "FSUB v30.4S, v10.4S, v14.4S\n"
+            "FADD v27.4S, v11.4S, v15.4S\n"
+            "FSUB v31.4S, v11.4S, v15.4S\n"
+            "FADD v0.4S, v16.4S, v24.4S\n"
+            "FSUB v8.4S, v16.4S, v24.4S\n"
+            "FADD v1.4S, v17.4S, v25.4S\n"
+            "FSUB v9.4S, v17.4S, v25.4S\n"
+            "FADD v2.4S, v18.4S, v26.4S\n"
+            "FSUB v10.4S, v18.4S, v26.4S\n"
+            "FADD v3.4S, v19.4S, v27.4S\n"
+            "FSUB v11.4S, v19.4S, v27.4S\n"
+            "FADD v4.4S, v20.4S, v28.4S\n"
+            "FSUB v12.4S, v20.4S, v28.4S\n"
+            "FADD v5.4S, v21.4S, v29.4S\n"
+            "FSUB v13.4S, v21.4S, v29.4S\n"
+            "FADD v6.4S, v22.4S, v30.4S\n"
+            "FSUB v14.4S, v22.4S, v30.4S\n"
+            "FADD v7.4S, v23.4S, v31.4S\n"
+            "FSUB v15.4S, v23.4S, v31.4S\n"
+            "ST1 {v0.4S}, [%0]\n"
+            "ST1 {v1.4S}, [%1]\n"
+            "ST1 {v2.4S}, [%2]\n"
+            "ST1 {v3.4S}, [%3]\n"
+            "ST1 {v4.4S}, [%4]\n"
+            "ST1 {v5.4S}, [%5]\n"
+            "ST1 {v6.4S}, [%6]\n"
+            "ST1 {v7.4S}, [%7]\n"
+            "ST1 {v8.4S}, [%8]\n"
+            "ST1 {v9.4S}, [%9]\n"
+            "ST1 {v10.4S}, [%10]\n"
+            "ST1 {v11.4S}, [%11]\n"
+            "ST1 {v12.4S}, [%12]\n"
+            "ST1 {v13.4S}, [%13]\n"
+            "ST1 {v14.4S}, [%14]\n"
+            "ST1 {v15.4S}, [%15]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 1024),
+            "r"(buf + j + k + 2048),
+            "r"(buf + j + k + 3072),
+            "r"(buf + j + k + 4096),
+            "r"(buf + j + k + 5120),
+            "r"(buf + j + k + 6144),
+            "r"(buf + j + k + 7168),
+            "r"(buf + j + k + 8192),
+            "r"(buf + j + k + 9216),
+            "r"(buf + j + k + 10240),
+            "r"(buf + j + k + 11264),
+            "r"(buf + j + k + 12288),
+            "r"(buf + j + k + 13312),
+            "r"(buf + j + k + 14336),
+            "r"(buf + j + k + 15360)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_14(float* buf);
+void helper_float_14(float* buf) {
+  helper_float_14_recursive(buf, 14);
+}
+void helper_float_15_recursive(float* buf, int depth);
+void helper_float_15_recursive(float* buf, int depth) {
+  if (depth == 13) {
+    helper_float_13(buf);
+    return;
+  }
+  if (depth == 15) {
+    helper_float_15_recursive(buf + 0, 13);
+    helper_float_15_recursive(buf + 8192, 13);
+    helper_float_15_recursive(buf + 16384, 13);
+    helper_float_15_recursive(buf + 24576, 13);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 8192; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "LD1 {v2.4S}, [%2]\n"
+            "LD1 {v3.4S}, [%3]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "FADD v18.4S, v2.4S, v3.4S\n"
+            "FSUB v19.4S, v2.4S, v3.4S\n"
+            "FADD v0.4S, v16.4S, v18.4S\n"
+            "FSUB v2.4S, v16.4S, v18.4S\n"
+            "FADD v1.4S, v17.4S, v19.4S\n"
+            "FSUB v3.4S, v17.4S, v19.4S\n"
+            "ST1 {v0.4S}, [%0]\n"
+            "ST1 {v1.4S}, [%1]\n"
+            "ST1 {v2.4S}, [%2]\n"
+            "ST1 {v3.4S}, [%3]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 8192),
+            "r"(buf + j + k + 16384),
+            "r"(buf + j + k + 24576)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_15(float* buf);
+void helper_float_15(float* buf) {
+  helper_float_15_recursive(buf, 15);
+}
+void helper_float_16_recursive(float* buf, int depth);
+void helper_float_16_recursive(float* buf, int depth) {
+  if (depth == 15) {
+    helper_float_15(buf);
+    return;
+  }
+  if (depth == 16) {
+    helper_float_16_recursive(buf + 0, 15);
+    helper_float_16_recursive(buf + 32768, 15);
+    for (int j = 0; j < 65536; j += 65536) {
+      for (int k = 0; k < 32768; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "ST1 {v16.4S}, [%0]\n"
+            "ST1 {v17.4S}, [%1]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 32768)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_16(float* buf);
+void helper_float_16(float* buf) {
+  helper_float_16_recursive(buf, 16);
+}
+void helper_float_17_recursive(float* buf, int depth);
+void helper_float_17_recursive(float* buf, int depth) {
+  if (depth == 15) {
+    helper_float_15(buf);
+    return;
+  }
+  if (depth == 17) {
+    helper_float_17_recursive(buf + 0, 15);
+    helper_float_17_recursive(buf + 32768, 15);
+    helper_float_17_recursive(buf + 65536, 15);
+    helper_float_17_recursive(buf + 98304, 15);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 32768; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "LD1 {v2.4S}, [%2]\n"
+            "LD1 {v3.4S}, [%3]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "FADD v18.4S, v2.4S, v3.4S\n"
+            "FSUB v19.4S, v2.4S, v3.4S\n"
+            "FADD v0.4S, v16.4S, v18.4S\n"
+            "FSUB v2.4S, v16.4S, v18.4S\n"
+            "FADD v1.4S, v17.4S, v19.4S\n"
+            "FSUB v3.4S, v17.4S, v19.4S\n"
+            "ST1 {v0.4S}, [%0]\n"
+            "ST1 {v1.4S}, [%1]\n"
+            "ST1 {v2.4S}, [%2]\n"
+            "ST1 {v3.4S}, [%3]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 32768),
+            "r"(buf + j + k + 65536),
+            "r"(buf + j + k + 98304)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_17(float* buf);
+void helper_float_17(float* buf) {
+  helper_float_17_recursive(buf, 17);
+}
+void helper_float_18_recursive(float* buf, int depth);
+void helper_float_18_recursive(float* buf, int depth) {
+  if (depth == 17) {
+    helper_float_17(buf);
+    return;
+  }
+  if (depth == 18) {
+    helper_float_18_recursive(buf + 0, 17);
+    helper_float_18_recursive(buf + 131072, 17);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 131072; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "ST1 {v16.4S}, [%0]\n"
+            "ST1 {v17.4S}, [%1]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 131072)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_18(float* buf);
+void helper_float_18(float* buf) {
+  helper_float_18_recursive(buf, 18);
+}
+void helper_float_19_recursive(float* buf, int depth);
+void helper_float_19_recursive(float* buf, int depth) {
+  if (depth == 18) {
+    helper_float_18(buf);
+    return;
+  }
+  if (depth == 19) {
+    helper_float_19_recursive(buf + 0, 18);
+    helper_float_19_recursive(buf + 262144, 18);
+    for (int j = 0; j < 524288; j += 524288) {
+      for (int k = 0; k < 262144; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "ST1 {v16.4S}, [%0]\n"
+            "ST1 {v17.4S}, [%1]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 262144)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_19(float* buf);
+void helper_float_19(float* buf) {
+  helper_float_19_recursive(buf, 19);
+}
+void helper_float_20_recursive(float* buf, int depth);
+void helper_float_20_recursive(float* buf, int depth) {
+  if (depth == 18) {
+    helper_float_18(buf);
+    return;
+  }
+  if (depth == 20) {
+    helper_float_20_recursive(buf + 0, 18);
+    helper_float_20_recursive(buf + 262144, 18);
+    helper_float_20_recursive(buf + 524288, 18);
+    helper_float_20_recursive(buf + 786432, 18);
+    for (int j = 0; j < 1048576; j += 1048576) {
+      for (int k = 0; k < 262144; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "LD1 {v2.4S}, [%2]\n"
+            "LD1 {v3.4S}, [%3]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "FADD v18.4S, v2.4S, v3.4S\n"
+            "FSUB v19.4S, v2.4S, v3.4S\n"
+            "FADD v0.4S, v16.4S, v18.4S\n"
+            "FSUB v2.4S, v16.4S, v18.4S\n"
+            "FADD v1.4S, v17.4S, v19.4S\n"
+            "FSUB v3.4S, v17.4S, v19.4S\n"
+            "ST1 {v0.4S}, [%0]\n"
+            "ST1 {v1.4S}, [%1]\n"
+            "ST1 {v2.4S}, [%2]\n"
+            "ST1 {v3.4S}, [%3]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 262144),
+            "r"(buf + j + k + 524288),
+            "r"(buf + j + k + 786432)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_20(float* buf);
+void helper_float_20(float* buf) {
+  helper_float_20_recursive(buf, 20);
+}
+void helper_float_21_recursive(float* buf, int depth);
+void helper_float_21_recursive(float* buf, int depth) {
+  if (depth == 20) {
+    helper_float_20(buf);
+    return;
+  }
+  if (depth == 21) {
+    helper_float_21_recursive(buf + 0, 20);
+    helper_float_21_recursive(buf + 1048576, 20);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 1048576; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "ST1 {v16.4S}, [%0]\n"
+            "ST1 {v17.4S}, [%1]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 1048576)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_21(float* buf);
+void helper_float_21(float* buf) {
+  helper_float_21_recursive(buf, 21);
+}
+void helper_float_22_recursive(float* buf, int depth);
+void helper_float_22_recursive(float* buf, int depth) {
+  if (depth == 20) {
+    helper_float_20(buf);
+    return;
+  }
+  if (depth == 22) {
+    helper_float_22_recursive(buf + 0, 20);
+    helper_float_22_recursive(buf + 1048576, 20);
+    helper_float_22_recursive(buf + 2097152, 20);
+    helper_float_22_recursive(buf + 3145728, 20);
+    for (int j = 0; j < 4194304; j += 4194304) {
+      for (int k = 0; k < 1048576; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "LD1 {v2.4S}, [%2]\n"
+            "LD1 {v3.4S}, [%3]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "FADD v18.4S, v2.4S, v3.4S\n"
+            "FSUB v19.4S, v2.4S, v3.4S\n"
+            "FADD v0.4S, v16.4S, v18.4S\n"
+            "FSUB v2.4S, v16.4S, v18.4S\n"
+            "FADD v1.4S, v17.4S, v19.4S\n"
+            "FSUB v3.4S, v17.4S, v19.4S\n"
+            "ST1 {v0.4S}, [%0]\n"
+            "ST1 {v1.4S}, [%1]\n"
+            "ST1 {v2.4S}, [%2]\n"
+            "ST1 {v3.4S}, [%3]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 1048576),
+            "r"(buf + j + k + 2097152),
+            "r"(buf + j + k + 3145728)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_22(float* buf);
+void helper_float_22(float* buf) {
+  helper_float_22_recursive(buf, 22);
+}
+void helper_float_23_recursive(float* buf, int depth);
+void helper_float_23_recursive(float* buf, int depth) {
+  if (depth == 22) {
+    helper_float_22(buf);
+    return;
+  }
+  if (depth == 23) {
+    helper_float_23_recursive(buf + 0, 22);
+    helper_float_23_recursive(buf + 4194304, 22);
+    for (int j = 0; j < 8388608; j += 8388608) {
+      for (int k = 0; k < 4194304; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "ST1 {v16.4S}, [%0]\n"
+            "ST1 {v17.4S}, [%1]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 4194304)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_23(float* buf);
+void helper_float_23(float* buf) {
+  helper_float_23_recursive(buf, 23);
+}
+void helper_float_24_recursive(float* buf, int depth);
+void helper_float_24_recursive(float* buf, int depth) {
+  if (depth == 23) {
+    helper_float_23(buf);
+    return;
+  }
+  if (depth == 24) {
+    helper_float_24_recursive(buf + 0, 23);
+    helper_float_24_recursive(buf + 8388608, 23);
+    for (int j = 0; j < 16777216; j += 16777216) {
+      for (int k = 0; k < 8388608; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "ST1 {v16.4S}, [%0]\n"
+            "ST1 {v17.4S}, [%1]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 8388608)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_24(float* buf);
+void helper_float_24(float* buf) {
+  helper_float_24_recursive(buf, 24);
+}
+void helper_float_25_recursive(float* buf, int depth);
+void helper_float_25_recursive(float* buf, int depth) {
+  if (depth == 23) {
+    helper_float_23(buf);
+    return;
+  }
+  if (depth == 25) {
+    helper_float_25_recursive(buf + 0, 23);
+    helper_float_25_recursive(buf + 8388608, 23);
+    helper_float_25_recursive(buf + 16777216, 23);
+    helper_float_25_recursive(buf + 25165824, 23);
+    for (int j = 0; j < 33554432; j += 33554432) {
+      for (int k = 0; k < 8388608; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "LD1 {v2.4S}, [%2]\n"
+            "LD1 {v3.4S}, [%3]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "FADD v18.4S, v2.4S, v3.4S\n"
+            "FSUB v19.4S, v2.4S, v3.4S\n"
+            "FADD v0.4S, v16.4S, v18.4S\n"
+            "FSUB v2.4S, v16.4S, v18.4S\n"
+            "FADD v1.4S, v17.4S, v19.4S\n"
+            "FSUB v3.4S, v17.4S, v19.4S\n"
+            "ST1 {v0.4S}, [%0]\n"
+            "ST1 {v1.4S}, [%1]\n"
+            "ST1 {v2.4S}, [%2]\n"
+            "ST1 {v3.4S}, [%3]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 8388608),
+            "r"(buf + j + k + 16777216),
+            "r"(buf + j + k + 25165824)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_25(float* buf);
+void helper_float_25(float* buf) {
+  helper_float_25_recursive(buf, 25);
+}
+void helper_float_26_recursive(float* buf, int depth);
+void helper_float_26_recursive(float* buf, int depth) {
+  if (depth == 25) {
+    helper_float_25(buf);
+    return;
+  }
+  if (depth == 26) {
+    helper_float_26_recursive(buf + 0, 25);
+    helper_float_26_recursive(buf + 33554432, 25);
+    for (int j = 0; j < 67108864; j += 67108864) {
+      for (int k = 0; k < 33554432; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "ST1 {v16.4S}, [%0]\n"
+            "ST1 {v17.4S}, [%1]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 33554432)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_26(float* buf);
+void helper_float_26(float* buf) {
+  helper_float_26_recursive(buf, 26);
+}
+void helper_float_27_recursive(float* buf, int depth);
+void helper_float_27_recursive(float* buf, int depth) {
+  if (depth == 26) {
+    helper_float_26(buf);
+    return;
+  }
+  if (depth == 27) {
+    helper_float_27_recursive(buf + 0, 26);
+    helper_float_27_recursive(buf + 67108864, 26);
+    for (int j = 0; j < 134217728; j += 134217728) {
+      for (int k = 0; k < 67108864; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "ST1 {v16.4S}, [%0]\n"
+            "ST1 {v17.4S}, [%1]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 67108864)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_27(float* buf);
+void helper_float_27(float* buf) {
+  helper_float_27_recursive(buf, 27);
+}
+void helper_float_28_recursive(float* buf, int depth);
+void helper_float_28_recursive(float* buf, int depth) {
+  if (depth == 26) {
+    helper_float_26(buf);
+    return;
+  }
+  if (depth == 28) {
+    helper_float_28_recursive(buf + 0, 26);
+    helper_float_28_recursive(buf + 67108864, 26);
+    helper_float_28_recursive(buf + 134217728, 26);
+    helper_float_28_recursive(buf + 201326592, 26);
+    for (int j = 0; j < 268435456; j += 268435456) {
+      for (int k = 0; k < 67108864; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "LD1 {v2.4S}, [%2]\n"
+            "LD1 {v3.4S}, [%3]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "FADD v18.4S, v2.4S, v3.4S\n"
+            "FSUB v19.4S, v2.4S, v3.4S\n"
+            "FADD v0.4S, v16.4S, v18.4S\n"
+            "FSUB v2.4S, v16.4S, v18.4S\n"
+            "FADD v1.4S, v17.4S, v19.4S\n"
+            "FSUB v3.4S, v17.4S, v19.4S\n"
+            "ST1 {v0.4S}, [%0]\n"
+            "ST1 {v1.4S}, [%1]\n"
+            "ST1 {v2.4S}, [%2]\n"
+            "ST1 {v3.4S}, [%3]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 67108864),
+            "r"(buf + j + k + 134217728),
+            "r"(buf + j + k + 201326592)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_28(float* buf);
+void helper_float_28(float* buf) {
+  helper_float_28_recursive(buf, 28);
+}
+void helper_float_29_recursive(float* buf, int depth);
+void helper_float_29_recursive(float* buf, int depth) {
+  if (depth == 28) {
+    helper_float_28(buf);
+    return;
+  }
+  if (depth == 29) {
+    helper_float_29_recursive(buf + 0, 28);
+    helper_float_29_recursive(buf + 268435456, 28);
+    for (int j = 0; j < 536870912; j += 536870912) {
+      for (int k = 0; k < 268435456; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "ST1 {v16.4S}, [%0]\n"
+            "ST1 {v17.4S}, [%1]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 268435456)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_29(float* buf);
+void helper_float_29(float* buf) {
+  helper_float_29_recursive(buf, 29);
+}
+void helper_float_30_recursive(float* buf, int depth);
+void helper_float_30_recursive(float* buf, int depth) {
+  if (depth == 29) {
+    helper_float_29(buf);
+    return;
+  }
+  if (depth == 30) {
+    helper_float_30_recursive(buf + 0, 29);
+    helper_float_30_recursive(buf + 536870912, 29);
+    for (int j = 0; j < 1073741824; j += 1073741824) {
+      for (int k = 0; k < 536870912; k += 4) {
+        __asm__ volatile(
+            "LD1 {v0.4S}, [%0]\n"
+            "LD1 {v1.4S}, [%1]\n"
+            "FADD v16.4S, v0.4S, v1.4S\n"
+            "FSUB v17.4S, v0.4S, v1.4S\n"
+            "ST1 {v16.4S}, [%0]\n"
+            "ST1 {v17.4S}, [%1]\n" ::"r"(buf + j + k + 0),
+            "r"(buf + j + k + 536870912)
+            : "%v0",
+              "%v1",
+              "%v2",
+              "%v3",
+              "%v4",
+              "%v5",
+              "%v6",
+              "%v7",
+              "%v8",
+              "%v9",
+              "%v10",
+              "%v11",
+              "%v12",
+              "%v13",
+              "%v14",
+              "%v15",
+              "%v16",
+              "%v17",
+              "%v18",
+              "%v19",
+              "%v20",
+              "%v21",
+              "%v22",
+              "%v23",
+              "%v24",
+              "%v25",
+              "%v26",
+              "%v27",
+              "%v28",
+              "%v29",
+              "%v30",
+              "%v31",
+              "memory");
+      }
+    }
+    return;
+  }
+}
+void helper_float_30(float* buf);
+void helper_float_30(float* buf) {
+  helper_float_30_recursive(buf, 30);
+}
+int fht_float(float* buf, int log_n) {
+  if (log_n == 0) {
+    return 0;
+  }
+  if (log_n == 1) {
+    helper_float_1(buf);
+    return 0;
+  }
+  if (log_n == 2) {
+    helper_float_2(buf);
+    return 0;
+  }
+  if (log_n == 3) {
+    helper_float_3(buf);
+    return 0;
+  }
+  if (log_n == 4) {
+    helper_float_4(buf);
+    return 0;
+  }
+  if (log_n == 5) {
+    helper_float_5(buf);
+    return 0;
+  }
+  if (log_n == 6) {
+    helper_float_6(buf);
+    return 0;
+  }
+  if (log_n == 7) {
+    helper_float_7(buf);
+    return 0;
+  }
+  if (log_n == 8) {
+    helper_float_8(buf);
+    return 0;
+  }
+  if (log_n == 9) {
+    helper_float_9(buf);
+    return 0;
+  }
+  if (log_n == 10) {
+    helper_float_10(buf);
+    return 0;
+  }
+  if (log_n == 11) {
+    helper_float_11(buf);
+    return 0;
+  }
+  if (log_n == 12) {
+    helper_float_12(buf);
+    return 0;
+  }
+  if (log_n == 13) {
+    helper_float_13(buf);
+    return 0;
+  }
+  if (log_n == 14) {
+    helper_float_14(buf);
+    return 0;
+  }
+  if (log_n == 15) {
+    helper_float_15(buf);
+    return 0;
+  }
+  if (log_n == 16) {
+    helper_float_16(buf);
+    return 0;
+  }
+  if (log_n == 17) {
+    helper_float_17(buf);
+    return 0;
+  }
+  if (log_n == 18) {
+    helper_float_18(buf);
+    return 0;
+  }
+  if (log_n == 19) {
+    helper_float_19(buf);
+    return 0;
+  }
+  if (log_n == 20) {
+    helper_float_20(buf);
+    return 0;
+  }
+  if (log_n == 21) {
+    helper_float_21(buf);
+    return 0;
+  }
+  if (log_n == 22) {
+    helper_float_22(buf);
+    return 0;
+  }
+  if (log_n == 23) {
+    helper_float_23(buf);
+    return 0;
+  }
+  if (log_n == 24) {
+    helper_float_24(buf);
+    return 0;
+  }
+  if (log_n == 25) {
+    helper_float_25(buf);
+    return 0;
+  }
+  if (log_n == 26) {
+    helper_float_26(buf);
+    return 0;
+  }
+  if (log_n == 27) {
+    helper_float_27(buf);
+    return 0;
+  }
+  if (log_n == 28) {
+    helper_float_28(buf);
+    return 0;
+  }
+  if (log_n == 29) {
+    helper_float_29(buf);
+    return 0;
+  }
+  if (log_n == 30) {
+    helper_float_30(buf);
+    return 0;
+  }
+  return 1;
+}
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/fht_sse.c b/extension/llm/custom_ops/spinquant/third-party/FFHT/fht_sse.c
new file mode 100644
index 0000000000..90d0ffc818
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/fht_sse.c
@@ -0,0 +1,26215 @@
+#include "fht.h"
+static inline void helper_float_1(float *buf);
+static inline void helper_float_1(float *buf) {
+  for (int j = 0; j < 2; j += 2) {
+    for (int k = 0; k < 1; ++k) {
+      float u = buf[j + k];
+      float v = buf[j + k + 1];
+      buf[j + k] = u + v;
+      buf[j + k + 1] = u - v;
+    }
+  }
+}
+static inline void helper_float_2(float *buf);
+static inline void helper_float_2(float *buf) {
+  for (int j = 0; j < 4; j += 4) {
+    __asm__ volatile (
+      "movups (%0), %%xmm0\n"
+      "movaps %%xmm0, %%xmm8\n"
+      "shufps $160, %%xmm8, %%xmm8\n"
+      "shufps $245, %%xmm0, %%xmm0\n"
+      "xorps %%xmm9, %%xmm9\n"
+      "subps %%xmm0, %%xmm9\n"
+      "addsubps %%xmm9, %%xmm8\n"
+      "movaps %%xmm8, %%xmm0\n"
+      "movaps %%xmm0, %%xmm8\n"
+      "shufps $68, %%xmm8, %%xmm8\n"
+      "xorps %%xmm9, %%xmm9\n"
+      "movaps %%xmm0, %%xmm10\n"
+      "shufps $14, %%xmm9, %%xmm10\n"
+      "movaps %%xmm0, %%xmm11\n"
+      "shufps $224, %%xmm11, %%xmm9\n"
+      "addps %%xmm8, %%xmm10\n"
+      "subps %%xmm9, %%xmm10\n"
+      "movaps %%xmm10, %%xmm0\n"
+      "movups %%xmm0, (%0)\n"
+      :: "r"(buf + j) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+    );
+  }
+}
+static inline void helper_float_3(float *buf);
+static inline void helper_float_3(float *buf) {
+  for (int j = 0; j < 8; j += 8) {
+    for (int k = 0; k < 4; k += 4) {
+      __asm__ volatile (
+        "movups (%0), %%xmm0\n"
+        "movups (%1), %%xmm1\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm0, %%xmm0\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm0, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm1, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm1, %%xmm1\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm1, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm1\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm0, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm0, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm0\n"
+        "movaps %%xmm1, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm1, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm1, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm1\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm9\n"
+        "addps %%xmm1, %%xmm8\n"
+        "subps %%xmm1, %%xmm9\n"
+        "movups %%xmm8, (%0)\n"
+        "movups %%xmm9, (%1)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 4) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+}
+static inline void helper_float_4(float *buf);
+static inline void helper_float_4(float *buf) {
+  for (int j = 0; j < 16; j += 16) {
+    for (int k = 0; k < 4; k += 4) {
+      __asm__ volatile (
+        "movups (%0), %%xmm0\n"
+        "movups (%1), %%xmm1\n"
+        "movups (%2), %%xmm2\n"
+        "movups (%3), %%xmm3\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm0, %%xmm0\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm0, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm1, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm1, %%xmm1\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm1, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm1\n"
+        "movaps %%xmm2, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm2, %%xmm2\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm2, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "movaps %%xmm3, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm3, %%xmm3\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm3, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm3\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm0, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm0, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm0\n"
+        "movaps %%xmm1, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm1, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm1, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm1\n"
+        "movaps %%xmm2, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm2\n"
+        "movaps %%xmm3, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm3, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm3, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm3\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm9\n"
+        "addps %%xmm1, %%xmm8\n"
+        "subps %%xmm1, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "addps %%xmm3, %%xmm10\n"
+        "subps %%xmm3, %%xmm11\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "addps %%xmm10, %%xmm0\n"
+        "subps %%xmm10, %%xmm2\n"
+        "movaps %%xmm9, %%xmm1\n"
+        "movaps %%xmm9, %%xmm3\n"
+        "addps %%xmm11, %%xmm1\n"
+        "subps %%xmm11, %%xmm3\n"
+        "movups %%xmm0, (%0)\n"
+        "movups %%xmm1, (%1)\n"
+        "movups %%xmm2, (%2)\n"
+        "movups %%xmm3, (%3)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+}
+static inline void helper_float_5(float *buf);
+static inline void helper_float_5(float *buf) {
+  for (int j = 0; j < 32; j += 32) {
+    for (int k = 0; k < 4; k += 4) {
+      __asm__ volatile (
+        "movups (%0), %%xmm0\n"
+        "movups (%1), %%xmm1\n"
+        "movups (%2), %%xmm2\n"
+        "movups (%3), %%xmm3\n"
+        "movups (%4), %%xmm4\n"
+        "movups (%5), %%xmm5\n"
+        "movups (%6), %%xmm6\n"
+        "movups (%7), %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm0, %%xmm0\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm0, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm1, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm1, %%xmm1\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm1, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm1\n"
+        "movaps %%xmm2, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm2, %%xmm2\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm2, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "movaps %%xmm3, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm3, %%xmm3\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm3, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm3\n"
+        "movaps %%xmm4, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm4, %%xmm4\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm4, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm4\n"
+        "movaps %%xmm5, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm5, %%xmm5\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm5, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm5\n"
+        "movaps %%xmm6, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm6, %%xmm6\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm6, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm6\n"
+        "movaps %%xmm7, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm7, %%xmm7\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm7, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm0, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm0, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm0\n"
+        "movaps %%xmm1, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm1, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm1, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm1\n"
+        "movaps %%xmm2, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm2\n"
+        "movaps %%xmm3, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm3, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm3, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm3\n"
+        "movaps %%xmm4, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm4, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm4, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm4\n"
+        "movaps %%xmm5, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm5, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm5, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm5\n"
+        "movaps %%xmm6, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm6, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm6, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm6\n"
+        "movaps %%xmm7, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm7, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm7, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm9\n"
+        "addps %%xmm1, %%xmm8\n"
+        "subps %%xmm1, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "addps %%xmm3, %%xmm10\n"
+        "subps %%xmm3, %%xmm11\n"
+        "movaps %%xmm4, %%xmm12\n"
+        "movaps %%xmm4, %%xmm13\n"
+        "addps %%xmm5, %%xmm12\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm6, %%xmm14\n"
+        "movaps %%xmm6, %%xmm15\n"
+        "addps %%xmm7, %%xmm14\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "addps %%xmm10, %%xmm0\n"
+        "subps %%xmm10, %%xmm2\n"
+        "movaps %%xmm9, %%xmm1\n"
+        "movaps %%xmm9, %%xmm3\n"
+        "addps %%xmm11, %%xmm1\n"
+        "subps %%xmm11, %%xmm3\n"
+        "movaps %%xmm12, %%xmm4\n"
+        "movaps %%xmm12, %%xmm6\n"
+        "addps %%xmm14, %%xmm4\n"
+        "subps %%xmm14, %%xmm6\n"
+        "movaps %%xmm13, %%xmm5\n"
+        "movaps %%xmm13, %%xmm7\n"
+        "addps %%xmm15, %%xmm5\n"
+        "subps %%xmm15, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm12\n"
+        "addps %%xmm4, %%xmm8\n"
+        "subps %%xmm4, %%xmm12\n"
+        "movaps %%xmm1, %%xmm9\n"
+        "movaps %%xmm1, %%xmm13\n"
+        "addps %%xmm5, %%xmm9\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm14\n"
+        "addps %%xmm6, %%xmm10\n"
+        "subps %%xmm6, %%xmm14\n"
+        "movaps %%xmm3, %%xmm11\n"
+        "movaps %%xmm3, %%xmm15\n"
+        "addps %%xmm7, %%xmm11\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movups %%xmm8, (%0)\n"
+        "movups %%xmm9, (%1)\n"
+        "movups %%xmm10, (%2)\n"
+        "movups %%xmm11, (%3)\n"
+        "movups %%xmm12, (%4)\n"
+        "movups %%xmm13, (%5)\n"
+        "movups %%xmm14, (%6)\n"
+        "movups %%xmm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+}
+static inline void helper_float_6(float *buf);
+static inline void helper_float_6(float *buf) {
+  for (int j = 0; j < 64; j += 32) {
+    for (int k = 0; k < 4; k += 4) {
+      __asm__ volatile (
+        "movups (%0), %%xmm0\n"
+        "movups (%1), %%xmm1\n"
+        "movups (%2), %%xmm2\n"
+        "movups (%3), %%xmm3\n"
+        "movups (%4), %%xmm4\n"
+        "movups (%5), %%xmm5\n"
+        "movups (%6), %%xmm6\n"
+        "movups (%7), %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm0, %%xmm0\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm0, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm1, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm1, %%xmm1\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm1, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm1\n"
+        "movaps %%xmm2, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm2, %%xmm2\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm2, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "movaps %%xmm3, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm3, %%xmm3\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm3, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm3\n"
+        "movaps %%xmm4, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm4, %%xmm4\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm4, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm4\n"
+        "movaps %%xmm5, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm5, %%xmm5\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm5, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm5\n"
+        "movaps %%xmm6, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm6, %%xmm6\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm6, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm6\n"
+        "movaps %%xmm7, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm7, %%xmm7\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm7, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm0, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm0, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm0\n"
+        "movaps %%xmm1, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm1, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm1, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm1\n"
+        "movaps %%xmm2, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm2\n"
+        "movaps %%xmm3, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm3, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm3, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm3\n"
+        "movaps %%xmm4, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm4, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm4, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm4\n"
+        "movaps %%xmm5, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm5, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm5, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm5\n"
+        "movaps %%xmm6, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm6, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm6, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm6\n"
+        "movaps %%xmm7, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm7, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm7, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm9\n"
+        "addps %%xmm1, %%xmm8\n"
+        "subps %%xmm1, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "addps %%xmm3, %%xmm10\n"
+        "subps %%xmm3, %%xmm11\n"
+        "movaps %%xmm4, %%xmm12\n"
+        "movaps %%xmm4, %%xmm13\n"
+        "addps %%xmm5, %%xmm12\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm6, %%xmm14\n"
+        "movaps %%xmm6, %%xmm15\n"
+        "addps %%xmm7, %%xmm14\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "addps %%xmm10, %%xmm0\n"
+        "subps %%xmm10, %%xmm2\n"
+        "movaps %%xmm9, %%xmm1\n"
+        "movaps %%xmm9, %%xmm3\n"
+        "addps %%xmm11, %%xmm1\n"
+        "subps %%xmm11, %%xmm3\n"
+        "movaps %%xmm12, %%xmm4\n"
+        "movaps %%xmm12, %%xmm6\n"
+        "addps %%xmm14, %%xmm4\n"
+        "subps %%xmm14, %%xmm6\n"
+        "movaps %%xmm13, %%xmm5\n"
+        "movaps %%xmm13, %%xmm7\n"
+        "addps %%xmm15, %%xmm5\n"
+        "subps %%xmm15, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm12\n"
+        "addps %%xmm4, %%xmm8\n"
+        "subps %%xmm4, %%xmm12\n"
+        "movaps %%xmm1, %%xmm9\n"
+        "movaps %%xmm1, %%xmm13\n"
+        "addps %%xmm5, %%xmm9\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm14\n"
+        "addps %%xmm6, %%xmm10\n"
+        "subps %%xmm6, %%xmm14\n"
+        "movaps %%xmm3, %%xmm11\n"
+        "movaps %%xmm3, %%xmm15\n"
+        "addps %%xmm7, %%xmm11\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movups %%xmm8, (%0)\n"
+        "movups %%xmm9, (%1)\n"
+        "movups %%xmm10, (%2)\n"
+        "movups %%xmm11, (%3)\n"
+        "movups %%xmm12, (%4)\n"
+        "movups %%xmm13, (%5)\n"
+        "movups %%xmm14, (%6)\n"
+        "movups %%xmm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 64; j += 64) {
+    for (int k = 0; k < 32; k += 4) {
+      __asm__ volatile (
+        "movups (%0), %%xmm0\n"
+        "movups (%1), %%xmm1\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm9\n"
+        "addps %%xmm1, %%xmm8\n"
+        "subps %%xmm1, %%xmm9\n"
+        "movups %%xmm8, (%0)\n"
+        "movups %%xmm9, (%1)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 32) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+}
+void helper_float_7_recursive(float *buf, int depth);
+void helper_float_7_recursive(float *buf, int depth) {
+  if (depth == 7) {
+    for (int j = 0; j < 128; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 128; j += 128) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movups %%xmm0, (%0)\n"
+          "movups %%xmm1, (%1)\n"
+          "movups %%xmm2, (%2)\n"
+          "movups %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_7(float *buf);
+void helper_float_7(float *buf) {
+  helper_float_7_recursive(buf, 7);
+}
+static inline void helper_float_8(float *buf);
+static inline void helper_float_8(float *buf) {
+  for (int j = 0; j < 256; j += 32) {
+    for (int k = 0; k < 4; k += 4) {
+      __asm__ volatile (
+        "movups (%0), %%xmm0\n"
+        "movups (%1), %%xmm1\n"
+        "movups (%2), %%xmm2\n"
+        "movups (%3), %%xmm3\n"
+        "movups (%4), %%xmm4\n"
+        "movups (%5), %%xmm5\n"
+        "movups (%6), %%xmm6\n"
+        "movups (%7), %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm0, %%xmm0\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm0, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm1, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm1, %%xmm1\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm1, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm1\n"
+        "movaps %%xmm2, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm2, %%xmm2\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm2, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "movaps %%xmm3, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm3, %%xmm3\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm3, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm3\n"
+        "movaps %%xmm4, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm4, %%xmm4\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm4, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm4\n"
+        "movaps %%xmm5, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm5, %%xmm5\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm5, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm5\n"
+        "movaps %%xmm6, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm6, %%xmm6\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm6, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm6\n"
+        "movaps %%xmm7, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm7, %%xmm7\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm7, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm0, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm0, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm0\n"
+        "movaps %%xmm1, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm1, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm1, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm1\n"
+        "movaps %%xmm2, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm2\n"
+        "movaps %%xmm3, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm3, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm3, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm3\n"
+        "movaps %%xmm4, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm4, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm4, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm4\n"
+        "movaps %%xmm5, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm5, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm5, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm5\n"
+        "movaps %%xmm6, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm6, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm6, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm6\n"
+        "movaps %%xmm7, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm7, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm7, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm9\n"
+        "addps %%xmm1, %%xmm8\n"
+        "subps %%xmm1, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "addps %%xmm3, %%xmm10\n"
+        "subps %%xmm3, %%xmm11\n"
+        "movaps %%xmm4, %%xmm12\n"
+        "movaps %%xmm4, %%xmm13\n"
+        "addps %%xmm5, %%xmm12\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm6, %%xmm14\n"
+        "movaps %%xmm6, %%xmm15\n"
+        "addps %%xmm7, %%xmm14\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "addps %%xmm10, %%xmm0\n"
+        "subps %%xmm10, %%xmm2\n"
+        "movaps %%xmm9, %%xmm1\n"
+        "movaps %%xmm9, %%xmm3\n"
+        "addps %%xmm11, %%xmm1\n"
+        "subps %%xmm11, %%xmm3\n"
+        "movaps %%xmm12, %%xmm4\n"
+        "movaps %%xmm12, %%xmm6\n"
+        "addps %%xmm14, %%xmm4\n"
+        "subps %%xmm14, %%xmm6\n"
+        "movaps %%xmm13, %%xmm5\n"
+        "movaps %%xmm13, %%xmm7\n"
+        "addps %%xmm15, %%xmm5\n"
+        "subps %%xmm15, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm12\n"
+        "addps %%xmm4, %%xmm8\n"
+        "subps %%xmm4, %%xmm12\n"
+        "movaps %%xmm1, %%xmm9\n"
+        "movaps %%xmm1, %%xmm13\n"
+        "addps %%xmm5, %%xmm9\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm14\n"
+        "addps %%xmm6, %%xmm10\n"
+        "subps %%xmm6, %%xmm14\n"
+        "movaps %%xmm3, %%xmm11\n"
+        "movaps %%xmm3, %%xmm15\n"
+        "addps %%xmm7, %%xmm11\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movups %%xmm8, (%0)\n"
+        "movups %%xmm9, (%1)\n"
+        "movups %%xmm10, (%2)\n"
+        "movups %%xmm11, (%3)\n"
+        "movups %%xmm12, (%4)\n"
+        "movups %%xmm13, (%5)\n"
+        "movups %%xmm14, (%6)\n"
+        "movups %%xmm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 256; j += 256) {
+    for (int k = 0; k < 32; k += 4) {
+      __asm__ volatile (
+        "movups (%0), %%xmm0\n"
+        "movups (%1), %%xmm1\n"
+        "movups (%2), %%xmm2\n"
+        "movups (%3), %%xmm3\n"
+        "movups (%4), %%xmm4\n"
+        "movups (%5), %%xmm5\n"
+        "movups (%6), %%xmm6\n"
+        "movups (%7), %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm9\n"
+        "addps %%xmm1, %%xmm8\n"
+        "subps %%xmm1, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "addps %%xmm3, %%xmm10\n"
+        "subps %%xmm3, %%xmm11\n"
+        "movaps %%xmm4, %%xmm12\n"
+        "movaps %%xmm4, %%xmm13\n"
+        "addps %%xmm5, %%xmm12\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm6, %%xmm14\n"
+        "movaps %%xmm6, %%xmm15\n"
+        "addps %%xmm7, %%xmm14\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "addps %%xmm10, %%xmm0\n"
+        "subps %%xmm10, %%xmm2\n"
+        "movaps %%xmm9, %%xmm1\n"
+        "movaps %%xmm9, %%xmm3\n"
+        "addps %%xmm11, %%xmm1\n"
+        "subps %%xmm11, %%xmm3\n"
+        "movaps %%xmm12, %%xmm4\n"
+        "movaps %%xmm12, %%xmm6\n"
+        "addps %%xmm14, %%xmm4\n"
+        "subps %%xmm14, %%xmm6\n"
+        "movaps %%xmm13, %%xmm5\n"
+        "movaps %%xmm13, %%xmm7\n"
+        "addps %%xmm15, %%xmm5\n"
+        "subps %%xmm15, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm12\n"
+        "addps %%xmm4, %%xmm8\n"
+        "subps %%xmm4, %%xmm12\n"
+        "movaps %%xmm1, %%xmm9\n"
+        "movaps %%xmm1, %%xmm13\n"
+        "addps %%xmm5, %%xmm9\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm14\n"
+        "addps %%xmm6, %%xmm10\n"
+        "subps %%xmm6, %%xmm14\n"
+        "movaps %%xmm3, %%xmm11\n"
+        "movaps %%xmm3, %%xmm15\n"
+        "addps %%xmm7, %%xmm11\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movups %%xmm8, (%0)\n"
+        "movups %%xmm9, (%1)\n"
+        "movups %%xmm10, (%2)\n"
+        "movups %%xmm11, (%3)\n"
+        "movups %%xmm12, (%4)\n"
+        "movups %%xmm13, (%5)\n"
+        "movups %%xmm14, (%6)\n"
+        "movups %%xmm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+}
+static inline void helper_float_9(float *buf);
+static inline void helper_float_9(float *buf) {
+  for (int j = 0; j < 512; j += 32) {
+    for (int k = 0; k < 4; k += 4) {
+      __asm__ volatile (
+        "movups (%0), %%xmm0\n"
+        "movups (%1), %%xmm1\n"
+        "movups (%2), %%xmm2\n"
+        "movups (%3), %%xmm3\n"
+        "movups (%4), %%xmm4\n"
+        "movups (%5), %%xmm5\n"
+        "movups (%6), %%xmm6\n"
+        "movups (%7), %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm0, %%xmm0\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm0, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm1, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm1, %%xmm1\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm1, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm1\n"
+        "movaps %%xmm2, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm2, %%xmm2\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm2, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "movaps %%xmm3, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm3, %%xmm3\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm3, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm3\n"
+        "movaps %%xmm4, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm4, %%xmm4\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm4, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm4\n"
+        "movaps %%xmm5, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm5, %%xmm5\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm5, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm5\n"
+        "movaps %%xmm6, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm6, %%xmm6\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm6, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm6\n"
+        "movaps %%xmm7, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm7, %%xmm7\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm7, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm0, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm0, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm0\n"
+        "movaps %%xmm1, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm1, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm1, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm1\n"
+        "movaps %%xmm2, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm2\n"
+        "movaps %%xmm3, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm3, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm3, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm3\n"
+        "movaps %%xmm4, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm4, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm4, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm4\n"
+        "movaps %%xmm5, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm5, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm5, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm5\n"
+        "movaps %%xmm6, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm6, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm6, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm6\n"
+        "movaps %%xmm7, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm7, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm7, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm9\n"
+        "addps %%xmm1, %%xmm8\n"
+        "subps %%xmm1, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "addps %%xmm3, %%xmm10\n"
+        "subps %%xmm3, %%xmm11\n"
+        "movaps %%xmm4, %%xmm12\n"
+        "movaps %%xmm4, %%xmm13\n"
+        "addps %%xmm5, %%xmm12\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm6, %%xmm14\n"
+        "movaps %%xmm6, %%xmm15\n"
+        "addps %%xmm7, %%xmm14\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "addps %%xmm10, %%xmm0\n"
+        "subps %%xmm10, %%xmm2\n"
+        "movaps %%xmm9, %%xmm1\n"
+        "movaps %%xmm9, %%xmm3\n"
+        "addps %%xmm11, %%xmm1\n"
+        "subps %%xmm11, %%xmm3\n"
+        "movaps %%xmm12, %%xmm4\n"
+        "movaps %%xmm12, %%xmm6\n"
+        "addps %%xmm14, %%xmm4\n"
+        "subps %%xmm14, %%xmm6\n"
+        "movaps %%xmm13, %%xmm5\n"
+        "movaps %%xmm13, %%xmm7\n"
+        "addps %%xmm15, %%xmm5\n"
+        "subps %%xmm15, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm12\n"
+        "addps %%xmm4, %%xmm8\n"
+        "subps %%xmm4, %%xmm12\n"
+        "movaps %%xmm1, %%xmm9\n"
+        "movaps %%xmm1, %%xmm13\n"
+        "addps %%xmm5, %%xmm9\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm14\n"
+        "addps %%xmm6, %%xmm10\n"
+        "subps %%xmm6, %%xmm14\n"
+        "movaps %%xmm3, %%xmm11\n"
+        "movaps %%xmm3, %%xmm15\n"
+        "addps %%xmm7, %%xmm11\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movups %%xmm8, (%0)\n"
+        "movups %%xmm9, (%1)\n"
+        "movups %%xmm10, (%2)\n"
+        "movups %%xmm11, (%3)\n"
+        "movups %%xmm12, (%4)\n"
+        "movups %%xmm13, (%5)\n"
+        "movups %%xmm14, (%6)\n"
+        "movups %%xmm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 512; j += 256) {
+    for (int k = 0; k < 32; k += 4) {
+      __asm__ volatile (
+        "movups (%0), %%xmm0\n"
+        "movups (%1), %%xmm1\n"
+        "movups (%2), %%xmm2\n"
+        "movups (%3), %%xmm3\n"
+        "movups (%4), %%xmm4\n"
+        "movups (%5), %%xmm5\n"
+        "movups (%6), %%xmm6\n"
+        "movups (%7), %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm9\n"
+        "addps %%xmm1, %%xmm8\n"
+        "subps %%xmm1, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "addps %%xmm3, %%xmm10\n"
+        "subps %%xmm3, %%xmm11\n"
+        "movaps %%xmm4, %%xmm12\n"
+        "movaps %%xmm4, %%xmm13\n"
+        "addps %%xmm5, %%xmm12\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm6, %%xmm14\n"
+        "movaps %%xmm6, %%xmm15\n"
+        "addps %%xmm7, %%xmm14\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "addps %%xmm10, %%xmm0\n"
+        "subps %%xmm10, %%xmm2\n"
+        "movaps %%xmm9, %%xmm1\n"
+        "movaps %%xmm9, %%xmm3\n"
+        "addps %%xmm11, %%xmm1\n"
+        "subps %%xmm11, %%xmm3\n"
+        "movaps %%xmm12, %%xmm4\n"
+        "movaps %%xmm12, %%xmm6\n"
+        "addps %%xmm14, %%xmm4\n"
+        "subps %%xmm14, %%xmm6\n"
+        "movaps %%xmm13, %%xmm5\n"
+        "movaps %%xmm13, %%xmm7\n"
+        "addps %%xmm15, %%xmm5\n"
+        "subps %%xmm15, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm12\n"
+        "addps %%xmm4, %%xmm8\n"
+        "subps %%xmm4, %%xmm12\n"
+        "movaps %%xmm1, %%xmm9\n"
+        "movaps %%xmm1, %%xmm13\n"
+        "addps %%xmm5, %%xmm9\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm14\n"
+        "addps %%xmm6, %%xmm10\n"
+        "subps %%xmm6, %%xmm14\n"
+        "movaps %%xmm3, %%xmm11\n"
+        "movaps %%xmm3, %%xmm15\n"
+        "addps %%xmm7, %%xmm11\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movups %%xmm8, (%0)\n"
+        "movups %%xmm9, (%1)\n"
+        "movups %%xmm10, (%2)\n"
+        "movups %%xmm11, (%3)\n"
+        "movups %%xmm12, (%4)\n"
+        "movups %%xmm13, (%5)\n"
+        "movups %%xmm14, (%6)\n"
+        "movups %%xmm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 512; j += 512) {
+    for (int k = 0; k < 256; k += 4) {
+      __asm__ volatile (
+        "movups (%0), %%xmm0\n"
+        "movups (%1), %%xmm1\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm9\n"
+        "addps %%xmm1, %%xmm8\n"
+        "subps %%xmm1, %%xmm9\n"
+        "movups %%xmm8, (%0)\n"
+        "movups %%xmm9, (%1)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 256) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+}
+static inline void helper_float_10(float *buf);
+static inline void helper_float_10(float *buf) {
+  for (int j = 0; j < 1024; j += 32) {
+    for (int k = 0; k < 4; k += 4) {
+      __asm__ volatile (
+        "movups (%0), %%xmm0\n"
+        "movups (%1), %%xmm1\n"
+        "movups (%2), %%xmm2\n"
+        "movups (%3), %%xmm3\n"
+        "movups (%4), %%xmm4\n"
+        "movups (%5), %%xmm5\n"
+        "movups (%6), %%xmm6\n"
+        "movups (%7), %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm0, %%xmm0\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm0, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm1, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm1, %%xmm1\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm1, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm1\n"
+        "movaps %%xmm2, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm2, %%xmm2\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm2, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "movaps %%xmm3, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm3, %%xmm3\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm3, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm3\n"
+        "movaps %%xmm4, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm4, %%xmm4\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm4, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm4\n"
+        "movaps %%xmm5, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm5, %%xmm5\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm5, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm5\n"
+        "movaps %%xmm6, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm6, %%xmm6\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm6, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm6\n"
+        "movaps %%xmm7, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm7, %%xmm7\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm7, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm0, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm0, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm0\n"
+        "movaps %%xmm1, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm1, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm1, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm1\n"
+        "movaps %%xmm2, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm2\n"
+        "movaps %%xmm3, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm3, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm3, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm3\n"
+        "movaps %%xmm4, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm4, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm4, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm4\n"
+        "movaps %%xmm5, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm5, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm5, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm5\n"
+        "movaps %%xmm6, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm6, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm6, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm6\n"
+        "movaps %%xmm7, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm7, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm7, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm9\n"
+        "addps %%xmm1, %%xmm8\n"
+        "subps %%xmm1, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "addps %%xmm3, %%xmm10\n"
+        "subps %%xmm3, %%xmm11\n"
+        "movaps %%xmm4, %%xmm12\n"
+        "movaps %%xmm4, %%xmm13\n"
+        "addps %%xmm5, %%xmm12\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm6, %%xmm14\n"
+        "movaps %%xmm6, %%xmm15\n"
+        "addps %%xmm7, %%xmm14\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "addps %%xmm10, %%xmm0\n"
+        "subps %%xmm10, %%xmm2\n"
+        "movaps %%xmm9, %%xmm1\n"
+        "movaps %%xmm9, %%xmm3\n"
+        "addps %%xmm11, %%xmm1\n"
+        "subps %%xmm11, %%xmm3\n"
+        "movaps %%xmm12, %%xmm4\n"
+        "movaps %%xmm12, %%xmm6\n"
+        "addps %%xmm14, %%xmm4\n"
+        "subps %%xmm14, %%xmm6\n"
+        "movaps %%xmm13, %%xmm5\n"
+        "movaps %%xmm13, %%xmm7\n"
+        "addps %%xmm15, %%xmm5\n"
+        "subps %%xmm15, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm12\n"
+        "addps %%xmm4, %%xmm8\n"
+        "subps %%xmm4, %%xmm12\n"
+        "movaps %%xmm1, %%xmm9\n"
+        "movaps %%xmm1, %%xmm13\n"
+        "addps %%xmm5, %%xmm9\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm14\n"
+        "addps %%xmm6, %%xmm10\n"
+        "subps %%xmm6, %%xmm14\n"
+        "movaps %%xmm3, %%xmm11\n"
+        "movaps %%xmm3, %%xmm15\n"
+        "addps %%xmm7, %%xmm11\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movups %%xmm8, (%0)\n"
+        "movups %%xmm9, (%1)\n"
+        "movups %%xmm10, (%2)\n"
+        "movups %%xmm11, (%3)\n"
+        "movups %%xmm12, (%4)\n"
+        "movups %%xmm13, (%5)\n"
+        "movups %%xmm14, (%6)\n"
+        "movups %%xmm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 1024; j += 256) {
+    for (int k = 0; k < 32; k += 4) {
+      __asm__ volatile (
+        "movups (%0), %%xmm0\n"
+        "movups (%1), %%xmm1\n"
+        "movups (%2), %%xmm2\n"
+        "movups (%3), %%xmm3\n"
+        "movups (%4), %%xmm4\n"
+        "movups (%5), %%xmm5\n"
+        "movups (%6), %%xmm6\n"
+        "movups (%7), %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm9\n"
+        "addps %%xmm1, %%xmm8\n"
+        "subps %%xmm1, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "addps %%xmm3, %%xmm10\n"
+        "subps %%xmm3, %%xmm11\n"
+        "movaps %%xmm4, %%xmm12\n"
+        "movaps %%xmm4, %%xmm13\n"
+        "addps %%xmm5, %%xmm12\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm6, %%xmm14\n"
+        "movaps %%xmm6, %%xmm15\n"
+        "addps %%xmm7, %%xmm14\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "addps %%xmm10, %%xmm0\n"
+        "subps %%xmm10, %%xmm2\n"
+        "movaps %%xmm9, %%xmm1\n"
+        "movaps %%xmm9, %%xmm3\n"
+        "addps %%xmm11, %%xmm1\n"
+        "subps %%xmm11, %%xmm3\n"
+        "movaps %%xmm12, %%xmm4\n"
+        "movaps %%xmm12, %%xmm6\n"
+        "addps %%xmm14, %%xmm4\n"
+        "subps %%xmm14, %%xmm6\n"
+        "movaps %%xmm13, %%xmm5\n"
+        "movaps %%xmm13, %%xmm7\n"
+        "addps %%xmm15, %%xmm5\n"
+        "subps %%xmm15, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm12\n"
+        "addps %%xmm4, %%xmm8\n"
+        "subps %%xmm4, %%xmm12\n"
+        "movaps %%xmm1, %%xmm9\n"
+        "movaps %%xmm1, %%xmm13\n"
+        "addps %%xmm5, %%xmm9\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm14\n"
+        "addps %%xmm6, %%xmm10\n"
+        "subps %%xmm6, %%xmm14\n"
+        "movaps %%xmm3, %%xmm11\n"
+        "movaps %%xmm3, %%xmm15\n"
+        "addps %%xmm7, %%xmm11\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movups %%xmm8, (%0)\n"
+        "movups %%xmm9, (%1)\n"
+        "movups %%xmm10, (%2)\n"
+        "movups %%xmm11, (%3)\n"
+        "movups %%xmm12, (%4)\n"
+        "movups %%xmm13, (%5)\n"
+        "movups %%xmm14, (%6)\n"
+        "movups %%xmm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 1024; j += 1024) {
+    for (int k = 0; k < 256; k += 4) {
+      __asm__ volatile (
+        "movups (%0), %%xmm0\n"
+        "movups (%1), %%xmm1\n"
+        "movups (%2), %%xmm2\n"
+        "movups (%3), %%xmm3\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm9\n"
+        "addps %%xmm1, %%xmm8\n"
+        "subps %%xmm1, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "addps %%xmm3, %%xmm10\n"
+        "subps %%xmm3, %%xmm11\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "addps %%xmm10, %%xmm0\n"
+        "subps %%xmm10, %%xmm2\n"
+        "movaps %%xmm9, %%xmm1\n"
+        "movaps %%xmm9, %%xmm3\n"
+        "addps %%xmm11, %%xmm1\n"
+        "subps %%xmm11, %%xmm3\n"
+        "movups %%xmm0, (%0)\n"
+        "movups %%xmm1, (%1)\n"
+        "movups %%xmm2, (%2)\n"
+        "movups %%xmm3, (%3)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+}
+static inline void helper_float_11(float *buf);
+static inline void helper_float_11(float *buf) {
+  for (int j = 0; j < 2048; j += 32) {
+    for (int k = 0; k < 4; k += 4) {
+      __asm__ volatile (
+        "movups (%0), %%xmm0\n"
+        "movups (%1), %%xmm1\n"
+        "movups (%2), %%xmm2\n"
+        "movups (%3), %%xmm3\n"
+        "movups (%4), %%xmm4\n"
+        "movups (%5), %%xmm5\n"
+        "movups (%6), %%xmm6\n"
+        "movups (%7), %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm0, %%xmm0\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm0, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm1, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm1, %%xmm1\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm1, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm1\n"
+        "movaps %%xmm2, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm2, %%xmm2\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm2, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "movaps %%xmm3, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm3, %%xmm3\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm3, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm3\n"
+        "movaps %%xmm4, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm4, %%xmm4\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm4, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm4\n"
+        "movaps %%xmm5, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm5, %%xmm5\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm5, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm5\n"
+        "movaps %%xmm6, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm6, %%xmm6\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm6, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm6\n"
+        "movaps %%xmm7, %%xmm8\n"
+        "shufps $160, %%xmm8, %%xmm8\n"
+        "shufps $245, %%xmm7, %%xmm7\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "subps %%xmm7, %%xmm9\n"
+        "addsubps %%xmm9, %%xmm8\n"
+        "movaps %%xmm8, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm0, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm0, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm0\n"
+        "movaps %%xmm1, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm1, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm1, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm1\n"
+        "movaps %%xmm2, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm2\n"
+        "movaps %%xmm3, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm3, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm3, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm3\n"
+        "movaps %%xmm4, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm4, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm4, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm4\n"
+        "movaps %%xmm5, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm5, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm5, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm5\n"
+        "movaps %%xmm6, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm6, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm6, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm6\n"
+        "movaps %%xmm7, %%xmm8\n"
+        "shufps $68, %%xmm8, %%xmm8\n"
+        "xorps %%xmm9, %%xmm9\n"
+        "movaps %%xmm7, %%xmm10\n"
+        "shufps $14, %%xmm9, %%xmm10\n"
+        "movaps %%xmm7, %%xmm11\n"
+        "shufps $224, %%xmm11, %%xmm9\n"
+        "addps %%xmm8, %%xmm10\n"
+        "subps %%xmm9, %%xmm10\n"
+        "movaps %%xmm10, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm9\n"
+        "addps %%xmm1, %%xmm8\n"
+        "subps %%xmm1, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "addps %%xmm3, %%xmm10\n"
+        "subps %%xmm3, %%xmm11\n"
+        "movaps %%xmm4, %%xmm12\n"
+        "movaps %%xmm4, %%xmm13\n"
+        "addps %%xmm5, %%xmm12\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm6, %%xmm14\n"
+        "movaps %%xmm6, %%xmm15\n"
+        "addps %%xmm7, %%xmm14\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "addps %%xmm10, %%xmm0\n"
+        "subps %%xmm10, %%xmm2\n"
+        "movaps %%xmm9, %%xmm1\n"
+        "movaps %%xmm9, %%xmm3\n"
+        "addps %%xmm11, %%xmm1\n"
+        "subps %%xmm11, %%xmm3\n"
+        "movaps %%xmm12, %%xmm4\n"
+        "movaps %%xmm12, %%xmm6\n"
+        "addps %%xmm14, %%xmm4\n"
+        "subps %%xmm14, %%xmm6\n"
+        "movaps %%xmm13, %%xmm5\n"
+        "movaps %%xmm13, %%xmm7\n"
+        "addps %%xmm15, %%xmm5\n"
+        "subps %%xmm15, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm12\n"
+        "addps %%xmm4, %%xmm8\n"
+        "subps %%xmm4, %%xmm12\n"
+        "movaps %%xmm1, %%xmm9\n"
+        "movaps %%xmm1, %%xmm13\n"
+        "addps %%xmm5, %%xmm9\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm14\n"
+        "addps %%xmm6, %%xmm10\n"
+        "subps %%xmm6, %%xmm14\n"
+        "movaps %%xmm3, %%xmm11\n"
+        "movaps %%xmm3, %%xmm15\n"
+        "addps %%xmm7, %%xmm11\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movups %%xmm8, (%0)\n"
+        "movups %%xmm9, (%1)\n"
+        "movups %%xmm10, (%2)\n"
+        "movups %%xmm11, (%3)\n"
+        "movups %%xmm12, (%4)\n"
+        "movups %%xmm13, (%5)\n"
+        "movups %%xmm14, (%6)\n"
+        "movups %%xmm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 2048; j += 256) {
+    for (int k = 0; k < 32; k += 4) {
+      __asm__ volatile (
+        "movups (%0), %%xmm0\n"
+        "movups (%1), %%xmm1\n"
+        "movups (%2), %%xmm2\n"
+        "movups (%3), %%xmm3\n"
+        "movups (%4), %%xmm4\n"
+        "movups (%5), %%xmm5\n"
+        "movups (%6), %%xmm6\n"
+        "movups (%7), %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm9\n"
+        "addps %%xmm1, %%xmm8\n"
+        "subps %%xmm1, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "addps %%xmm3, %%xmm10\n"
+        "subps %%xmm3, %%xmm11\n"
+        "movaps %%xmm4, %%xmm12\n"
+        "movaps %%xmm4, %%xmm13\n"
+        "addps %%xmm5, %%xmm12\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm6, %%xmm14\n"
+        "movaps %%xmm6, %%xmm15\n"
+        "addps %%xmm7, %%xmm14\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "addps %%xmm10, %%xmm0\n"
+        "subps %%xmm10, %%xmm2\n"
+        "movaps %%xmm9, %%xmm1\n"
+        "movaps %%xmm9, %%xmm3\n"
+        "addps %%xmm11, %%xmm1\n"
+        "subps %%xmm11, %%xmm3\n"
+        "movaps %%xmm12, %%xmm4\n"
+        "movaps %%xmm12, %%xmm6\n"
+        "addps %%xmm14, %%xmm4\n"
+        "subps %%xmm14, %%xmm6\n"
+        "movaps %%xmm13, %%xmm5\n"
+        "movaps %%xmm13, %%xmm7\n"
+        "addps %%xmm15, %%xmm5\n"
+        "subps %%xmm15, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm12\n"
+        "addps %%xmm4, %%xmm8\n"
+        "subps %%xmm4, %%xmm12\n"
+        "movaps %%xmm1, %%xmm9\n"
+        "movaps %%xmm1, %%xmm13\n"
+        "addps %%xmm5, %%xmm9\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm14\n"
+        "addps %%xmm6, %%xmm10\n"
+        "subps %%xmm6, %%xmm14\n"
+        "movaps %%xmm3, %%xmm11\n"
+        "movaps %%xmm3, %%xmm15\n"
+        "addps %%xmm7, %%xmm11\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movups %%xmm8, (%0)\n"
+        "movups %%xmm9, (%1)\n"
+        "movups %%xmm10, (%2)\n"
+        "movups %%xmm11, (%3)\n"
+        "movups %%xmm12, (%4)\n"
+        "movups %%xmm13, (%5)\n"
+        "movups %%xmm14, (%6)\n"
+        "movups %%xmm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 2048; j += 2048) {
+    for (int k = 0; k < 256; k += 4) {
+      __asm__ volatile (
+        "movups (%0), %%xmm0\n"
+        "movups (%1), %%xmm1\n"
+        "movups (%2), %%xmm2\n"
+        "movups (%3), %%xmm3\n"
+        "movups (%4), %%xmm4\n"
+        "movups (%5), %%xmm5\n"
+        "movups (%6), %%xmm6\n"
+        "movups (%7), %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm9\n"
+        "addps %%xmm1, %%xmm8\n"
+        "subps %%xmm1, %%xmm9\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm11\n"
+        "addps %%xmm3, %%xmm10\n"
+        "subps %%xmm3, %%xmm11\n"
+        "movaps %%xmm4, %%xmm12\n"
+        "movaps %%xmm4, %%xmm13\n"
+        "addps %%xmm5, %%xmm12\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm6, %%xmm14\n"
+        "movaps %%xmm6, %%xmm15\n"
+        "addps %%xmm7, %%xmm14\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movaps %%xmm8, %%xmm0\n"
+        "movaps %%xmm8, %%xmm2\n"
+        "addps %%xmm10, %%xmm0\n"
+        "subps %%xmm10, %%xmm2\n"
+        "movaps %%xmm9, %%xmm1\n"
+        "movaps %%xmm9, %%xmm3\n"
+        "addps %%xmm11, %%xmm1\n"
+        "subps %%xmm11, %%xmm3\n"
+        "movaps %%xmm12, %%xmm4\n"
+        "movaps %%xmm12, %%xmm6\n"
+        "addps %%xmm14, %%xmm4\n"
+        "subps %%xmm14, %%xmm6\n"
+        "movaps %%xmm13, %%xmm5\n"
+        "movaps %%xmm13, %%xmm7\n"
+        "addps %%xmm15, %%xmm5\n"
+        "subps %%xmm15, %%xmm7\n"
+        "movaps %%xmm0, %%xmm8\n"
+        "movaps %%xmm0, %%xmm12\n"
+        "addps %%xmm4, %%xmm8\n"
+        "subps %%xmm4, %%xmm12\n"
+        "movaps %%xmm1, %%xmm9\n"
+        "movaps %%xmm1, %%xmm13\n"
+        "addps %%xmm5, %%xmm9\n"
+        "subps %%xmm5, %%xmm13\n"
+        "movaps %%xmm2, %%xmm10\n"
+        "movaps %%xmm2, %%xmm14\n"
+        "addps %%xmm6, %%xmm10\n"
+        "subps %%xmm6, %%xmm14\n"
+        "movaps %%xmm3, %%xmm11\n"
+        "movaps %%xmm3, %%xmm15\n"
+        "addps %%xmm7, %%xmm11\n"
+        "subps %%xmm7, %%xmm15\n"
+        "movups %%xmm8, (%0)\n"
+        "movups %%xmm9, (%1)\n"
+        "movups %%xmm10, (%2)\n"
+        "movups %%xmm11, (%3)\n"
+        "movups %%xmm12, (%4)\n"
+        "movups %%xmm13, (%5)\n"
+        "movups %%xmm14, (%6)\n"
+        "movups %%xmm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+}
+void helper_float_12_recursive(float *buf, int depth);
+void helper_float_12_recursive(float *buf, int depth) {
+  if (depth == 7) {
+    for (int j = 0; j < 128; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 128; j += 128) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movups %%xmm0, (%0)\n"
+          "movups %%xmm1, (%1)\n"
+          "movups %%xmm2, (%2)\n"
+          "movups %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 10) {
+    helper_float_12_recursive(buf + 0, 7);
+    helper_float_12_recursive(buf + 128, 7);
+    helper_float_12_recursive(buf + 256, 7);
+    helper_float_12_recursive(buf + 384, 7);
+    helper_float_12_recursive(buf + 512, 7);
+    helper_float_12_recursive(buf + 640, 7);
+    helper_float_12_recursive(buf + 768, 7);
+    helper_float_12_recursive(buf + 896, 7);
+    for (int j = 0; j < 1024; j += 1024) {
+      for (int k = 0; k < 128; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 128), "r"(buf + j + k + 256), "r"(buf + j + k + 384), "r"(buf + j + k + 512), "r"(buf + j + k + 640), "r"(buf + j + k + 768), "r"(buf + j + k + 896) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 12) {
+    helper_float_12_recursive(buf + 0, 10);
+    helper_float_12_recursive(buf + 1024, 10);
+    helper_float_12_recursive(buf + 2048, 10);
+    helper_float_12_recursive(buf + 3072, 10);
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 1024; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movups %%xmm0, (%0)\n"
+          "movups %%xmm1, (%1)\n"
+          "movups %%xmm2, (%2)\n"
+          "movups %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1024), "r"(buf + j + k + 2048), "r"(buf + j + k + 3072) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_12(float *buf);
+void helper_float_12(float *buf) {
+  helper_float_12_recursive(buf, 12);
+}
+void helper_float_13_recursive(float *buf, int depth);
+void helper_float_13_recursive(float *buf, int depth) {
+  if (depth == 11) {
+    for (int j = 0; j < 2048; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 13) {
+    helper_float_13_recursive(buf + 0, 11);
+    helper_float_13_recursive(buf + 2048, 11);
+    helper_float_13_recursive(buf + 4096, 11);
+    helper_float_13_recursive(buf + 6144, 11);
+    for (int j = 0; j < 8192; j += 8192) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movups %%xmm0, (%0)\n"
+          "movups %%xmm1, (%1)\n"
+          "movups %%xmm2, (%2)\n"
+          "movups %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_13(float *buf);
+void helper_float_13(float *buf) {
+  helper_float_13_recursive(buf, 13);
+}
+void helper_float_14_recursive(float *buf, int depth);
+void helper_float_14_recursive(float *buf, int depth) {
+  if (depth == 11) {
+    for (int j = 0; j < 2048; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_float_14_recursive(buf + 0, 11);
+    helper_float_14_recursive(buf + 2048, 11);
+    helper_float_14_recursive(buf + 4096, 11);
+    helper_float_14_recursive(buf + 6144, 11);
+    helper_float_14_recursive(buf + 8192, 11);
+    helper_float_14_recursive(buf + 10240, 11);
+    helper_float_14_recursive(buf + 12288, 11);
+    helper_float_14_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_14(float *buf);
+void helper_float_14(float *buf) {
+  helper_float_14_recursive(buf, 14);
+}
+void helper_float_15_recursive(float *buf, int depth);
+void helper_float_15_recursive(float *buf, int depth) {
+  if (depth == 13) {
+    for (int j = 0; j < 8192; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 8192) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movups %%xmm0, (%0)\n"
+          "movups %%xmm1, (%1)\n"
+          "movups %%xmm2, (%2)\n"
+          "movups %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_float_15_recursive(buf + 0, 13);
+    helper_float_15_recursive(buf + 8192, 13);
+    helper_float_15_recursive(buf + 16384, 13);
+    helper_float_15_recursive(buf + 24576, 13);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 8192; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movups %%xmm0, (%0)\n"
+          "movups %%xmm1, (%1)\n"
+          "movups %%xmm2, (%2)\n"
+          "movups %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8192), "r"(buf + j + k + 16384), "r"(buf + j + k + 24576) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_15(float *buf);
+void helper_float_15(float *buf) {
+  helper_float_15_recursive(buf, 15);
+}
+void helper_float_16_recursive(float *buf, int depth);
+void helper_float_16_recursive(float *buf, int depth) {
+  if (depth == 11) {
+    for (int j = 0; j < 2048; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_float_16_recursive(buf + 0, 11);
+    helper_float_16_recursive(buf + 2048, 11);
+    helper_float_16_recursive(buf + 4096, 11);
+    helper_float_16_recursive(buf + 6144, 11);
+    helper_float_16_recursive(buf + 8192, 11);
+    helper_float_16_recursive(buf + 10240, 11);
+    helper_float_16_recursive(buf + 12288, 11);
+    helper_float_16_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 16) {
+    helper_float_16_recursive(buf + 0, 14);
+    helper_float_16_recursive(buf + 16384, 14);
+    helper_float_16_recursive(buf + 32768, 14);
+    helper_float_16_recursive(buf + 49152, 14);
+    for (int j = 0; j < 65536; j += 65536) {
+      for (int k = 0; k < 16384; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movups %%xmm0, (%0)\n"
+          "movups %%xmm1, (%1)\n"
+          "movups %%xmm2, (%2)\n"
+          "movups %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_16(float *buf);
+void helper_float_16(float *buf) {
+  helper_float_16_recursive(buf, 16);
+}
+void helper_float_17_recursive(float *buf, int depth);
+void helper_float_17_recursive(float *buf, int depth) {
+  if (depth == 11) {
+    for (int j = 0; j < 2048; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_float_17_recursive(buf + 0, 11);
+    helper_float_17_recursive(buf + 2048, 11);
+    helper_float_17_recursive(buf + 4096, 11);
+    helper_float_17_recursive(buf + 6144, 11);
+    helper_float_17_recursive(buf + 8192, 11);
+    helper_float_17_recursive(buf + 10240, 11);
+    helper_float_17_recursive(buf + 12288, 11);
+    helper_float_17_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_float_17_recursive(buf + 0, 14);
+    helper_float_17_recursive(buf + 16384, 14);
+    helper_float_17_recursive(buf + 32768, 14);
+    helper_float_17_recursive(buf + 49152, 14);
+    helper_float_17_recursive(buf + 65536, 14);
+    helper_float_17_recursive(buf + 81920, 14);
+    helper_float_17_recursive(buf + 98304, 14);
+    helper_float_17_recursive(buf + 114688, 14);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 16384; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152), "r"(buf + j + k + 65536), "r"(buf + j + k + 81920), "r"(buf + j + k + 98304), "r"(buf + j + k + 114688) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_17(float *buf);
+void helper_float_17(float *buf) {
+  helper_float_17_recursive(buf, 17);
+}
+void helper_float_18_recursive(float *buf, int depth);
+void helper_float_18_recursive(float *buf, int depth) {
+  if (depth == 13) {
+    for (int j = 0; j < 8192; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 8192) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movups %%xmm0, (%0)\n"
+          "movups %%xmm1, (%1)\n"
+          "movups %%xmm2, (%2)\n"
+          "movups %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 16) {
+    helper_float_18_recursive(buf + 0, 13);
+    helper_float_18_recursive(buf + 8192, 13);
+    helper_float_18_recursive(buf + 16384, 13);
+    helper_float_18_recursive(buf + 24576, 13);
+    helper_float_18_recursive(buf + 32768, 13);
+    helper_float_18_recursive(buf + 40960, 13);
+    helper_float_18_recursive(buf + 49152, 13);
+    helper_float_18_recursive(buf + 57344, 13);
+    for (int j = 0; j < 65536; j += 65536) {
+      for (int k = 0; k < 8192; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8192), "r"(buf + j + k + 16384), "r"(buf + j + k + 24576), "r"(buf + j + k + 32768), "r"(buf + j + k + 40960), "r"(buf + j + k + 49152), "r"(buf + j + k + 57344) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_float_18_recursive(buf + 0, 16);
+    helper_float_18_recursive(buf + 65536, 16);
+    helper_float_18_recursive(buf + 131072, 16);
+    helper_float_18_recursive(buf + 196608, 16);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 65536; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movups %%xmm0, (%0)\n"
+          "movups %%xmm1, (%1)\n"
+          "movups %%xmm2, (%2)\n"
+          "movups %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 65536), "r"(buf + j + k + 131072), "r"(buf + j + k + 196608) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_18(float *buf);
+void helper_float_18(float *buf) {
+  helper_float_18_recursive(buf, 18);
+}
+void helper_float_19_recursive(float *buf, int depth);
+void helper_float_19_recursive(float *buf, int depth) {
+  if (depth == 13) {
+    for (int j = 0; j < 8192; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 8192) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movups %%xmm0, (%0)\n"
+          "movups %%xmm1, (%1)\n"
+          "movups %%xmm2, (%2)\n"
+          "movups %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 16) {
+    helper_float_19_recursive(buf + 0, 13);
+    helper_float_19_recursive(buf + 8192, 13);
+    helper_float_19_recursive(buf + 16384, 13);
+    helper_float_19_recursive(buf + 24576, 13);
+    helper_float_19_recursive(buf + 32768, 13);
+    helper_float_19_recursive(buf + 40960, 13);
+    helper_float_19_recursive(buf + 49152, 13);
+    helper_float_19_recursive(buf + 57344, 13);
+    for (int j = 0; j < 65536; j += 65536) {
+      for (int k = 0; k < 8192; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8192), "r"(buf + j + k + 16384), "r"(buf + j + k + 24576), "r"(buf + j + k + 32768), "r"(buf + j + k + 40960), "r"(buf + j + k + 49152), "r"(buf + j + k + 57344) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 19) {
+    helper_float_19_recursive(buf + 0, 16);
+    helper_float_19_recursive(buf + 65536, 16);
+    helper_float_19_recursive(buf + 131072, 16);
+    helper_float_19_recursive(buf + 196608, 16);
+    helper_float_19_recursive(buf + 262144, 16);
+    helper_float_19_recursive(buf + 327680, 16);
+    helper_float_19_recursive(buf + 393216, 16);
+    helper_float_19_recursive(buf + 458752, 16);
+    for (int j = 0; j < 524288; j += 524288) {
+      for (int k = 0; k < 65536; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 65536), "r"(buf + j + k + 131072), "r"(buf + j + k + 196608), "r"(buf + j + k + 262144), "r"(buf + j + k + 327680), "r"(buf + j + k + 393216), "r"(buf + j + k + 458752) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_19(float *buf);
+void helper_float_19(float *buf) {
+  helper_float_19_recursive(buf, 19);
+}
+void helper_float_20_recursive(float *buf, int depth);
+void helper_float_20_recursive(float *buf, int depth) {
+  if (depth == 8) {
+    for (int j = 0; j < 256; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 256; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 11) {
+    helper_float_20_recursive(buf + 0, 8);
+    helper_float_20_recursive(buf + 256, 8);
+    helper_float_20_recursive(buf + 512, 8);
+    helper_float_20_recursive(buf + 768, 8);
+    helper_float_20_recursive(buf + 1024, 8);
+    helper_float_20_recursive(buf + 1280, 8);
+    helper_float_20_recursive(buf + 1536, 8);
+    helper_float_20_recursive(buf + 1792, 8);
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_float_20_recursive(buf + 0, 11);
+    helper_float_20_recursive(buf + 2048, 11);
+    helper_float_20_recursive(buf + 4096, 11);
+    helper_float_20_recursive(buf + 6144, 11);
+    helper_float_20_recursive(buf + 8192, 11);
+    helper_float_20_recursive(buf + 10240, 11);
+    helper_float_20_recursive(buf + 12288, 11);
+    helper_float_20_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_float_20_recursive(buf + 0, 14);
+    helper_float_20_recursive(buf + 16384, 14);
+    helper_float_20_recursive(buf + 32768, 14);
+    helper_float_20_recursive(buf + 49152, 14);
+    helper_float_20_recursive(buf + 65536, 14);
+    helper_float_20_recursive(buf + 81920, 14);
+    helper_float_20_recursive(buf + 98304, 14);
+    helper_float_20_recursive(buf + 114688, 14);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 16384; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152), "r"(buf + j + k + 65536), "r"(buf + j + k + 81920), "r"(buf + j + k + 98304), "r"(buf + j + k + 114688) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 20) {
+    helper_float_20_recursive(buf + 0, 17);
+    helper_float_20_recursive(buf + 131072, 17);
+    helper_float_20_recursive(buf + 262144, 17);
+    helper_float_20_recursive(buf + 393216, 17);
+    helper_float_20_recursive(buf + 524288, 17);
+    helper_float_20_recursive(buf + 655360, 17);
+    helper_float_20_recursive(buf + 786432, 17);
+    helper_float_20_recursive(buf + 917504, 17);
+    for (int j = 0; j < 1048576; j += 1048576) {
+      for (int k = 0; k < 131072; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 131072), "r"(buf + j + k + 262144), "r"(buf + j + k + 393216), "r"(buf + j + k + 524288), "r"(buf + j + k + 655360), "r"(buf + j + k + 786432), "r"(buf + j + k + 917504) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_20(float *buf);
+void helper_float_20(float *buf) {
+  helper_float_20_recursive(buf, 20);
+}
+void helper_float_21_recursive(float *buf, int depth);
+void helper_float_21_recursive(float *buf, int depth) {
+  if (depth == 13) {
+    for (int j = 0; j < 8192; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 8192) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movups %%xmm0, (%0)\n"
+          "movups %%xmm1, (%1)\n"
+          "movups %%xmm2, (%2)\n"
+          "movups %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 16) {
+    helper_float_21_recursive(buf + 0, 13);
+    helper_float_21_recursive(buf + 8192, 13);
+    helper_float_21_recursive(buf + 16384, 13);
+    helper_float_21_recursive(buf + 24576, 13);
+    helper_float_21_recursive(buf + 32768, 13);
+    helper_float_21_recursive(buf + 40960, 13);
+    helper_float_21_recursive(buf + 49152, 13);
+    helper_float_21_recursive(buf + 57344, 13);
+    for (int j = 0; j < 65536; j += 65536) {
+      for (int k = 0; k < 8192; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8192), "r"(buf + j + k + 16384), "r"(buf + j + k + 24576), "r"(buf + j + k + 32768), "r"(buf + j + k + 40960), "r"(buf + j + k + 49152), "r"(buf + j + k + 57344) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 19) {
+    helper_float_21_recursive(buf + 0, 16);
+    helper_float_21_recursive(buf + 65536, 16);
+    helper_float_21_recursive(buf + 131072, 16);
+    helper_float_21_recursive(buf + 196608, 16);
+    helper_float_21_recursive(buf + 262144, 16);
+    helper_float_21_recursive(buf + 327680, 16);
+    helper_float_21_recursive(buf + 393216, 16);
+    helper_float_21_recursive(buf + 458752, 16);
+    for (int j = 0; j < 524288; j += 524288) {
+      for (int k = 0; k < 65536; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 65536), "r"(buf + j + k + 131072), "r"(buf + j + k + 196608), "r"(buf + j + k + 262144), "r"(buf + j + k + 327680), "r"(buf + j + k + 393216), "r"(buf + j + k + 458752) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_float_21_recursive(buf + 0, 19);
+    helper_float_21_recursive(buf + 524288, 19);
+    helper_float_21_recursive(buf + 1048576, 19);
+    helper_float_21_recursive(buf + 1572864, 19);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 524288; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movups %%xmm0, (%0)\n"
+          "movups %%xmm1, (%1)\n"
+          "movups %%xmm2, (%2)\n"
+          "movups %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 524288), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1572864) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_21(float *buf);
+void helper_float_21(float *buf) {
+  helper_float_21_recursive(buf, 21);
+}
+void helper_float_22_recursive(float *buf, int depth);
+void helper_float_22_recursive(float *buf, int depth) {
+  if (depth == 11) {
+    for (int j = 0; j < 2048; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_float_22_recursive(buf + 0, 11);
+    helper_float_22_recursive(buf + 2048, 11);
+    helper_float_22_recursive(buf + 4096, 11);
+    helper_float_22_recursive(buf + 6144, 11);
+    helper_float_22_recursive(buf + 8192, 11);
+    helper_float_22_recursive(buf + 10240, 11);
+    helper_float_22_recursive(buf + 12288, 11);
+    helper_float_22_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_float_22_recursive(buf + 0, 14);
+    helper_float_22_recursive(buf + 16384, 14);
+    helper_float_22_recursive(buf + 32768, 14);
+    helper_float_22_recursive(buf + 49152, 14);
+    helper_float_22_recursive(buf + 65536, 14);
+    helper_float_22_recursive(buf + 81920, 14);
+    helper_float_22_recursive(buf + 98304, 14);
+    helper_float_22_recursive(buf + 114688, 14);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 16384; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152), "r"(buf + j + k + 65536), "r"(buf + j + k + 81920), "r"(buf + j + k + 98304), "r"(buf + j + k + 114688) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 20) {
+    helper_float_22_recursive(buf + 0, 17);
+    helper_float_22_recursive(buf + 131072, 17);
+    helper_float_22_recursive(buf + 262144, 17);
+    helper_float_22_recursive(buf + 393216, 17);
+    helper_float_22_recursive(buf + 524288, 17);
+    helper_float_22_recursive(buf + 655360, 17);
+    helper_float_22_recursive(buf + 786432, 17);
+    helper_float_22_recursive(buf + 917504, 17);
+    for (int j = 0; j < 1048576; j += 1048576) {
+      for (int k = 0; k < 131072; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 131072), "r"(buf + j + k + 262144), "r"(buf + j + k + 393216), "r"(buf + j + k + 524288), "r"(buf + j + k + 655360), "r"(buf + j + k + 786432), "r"(buf + j + k + 917504) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 22) {
+    helper_float_22_recursive(buf + 0, 20);
+    helper_float_22_recursive(buf + 1048576, 20);
+    helper_float_22_recursive(buf + 2097152, 20);
+    helper_float_22_recursive(buf + 3145728, 20);
+    for (int j = 0; j < 4194304; j += 4194304) {
+      for (int k = 0; k < 1048576; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movups %%xmm0, (%0)\n"
+          "movups %%xmm1, (%1)\n"
+          "movups %%xmm2, (%2)\n"
+          "movups %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1048576), "r"(buf + j + k + 2097152), "r"(buf + j + k + 3145728) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_22(float *buf);
+void helper_float_22(float *buf) {
+  helper_float_22_recursive(buf, 22);
+}
+void helper_float_23_recursive(float *buf, int depth);
+void helper_float_23_recursive(float *buf, int depth) {
+  if (depth == 6) {
+    for (int j = 0; j < 64; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 64; j += 64) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 9) {
+    helper_float_23_recursive(buf + 0, 6);
+    helper_float_23_recursive(buf + 64, 6);
+    helper_float_23_recursive(buf + 128, 6);
+    helper_float_23_recursive(buf + 192, 6);
+    helper_float_23_recursive(buf + 256, 6);
+    helper_float_23_recursive(buf + 320, 6);
+    helper_float_23_recursive(buf + 384, 6);
+    helper_float_23_recursive(buf + 448, 6);
+    for (int j = 0; j < 512; j += 512) {
+      for (int k = 0; k < 64; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 12) {
+    helper_float_23_recursive(buf + 0, 9);
+    helper_float_23_recursive(buf + 512, 9);
+    helper_float_23_recursive(buf + 1024, 9);
+    helper_float_23_recursive(buf + 1536, 9);
+    helper_float_23_recursive(buf + 2048, 9);
+    helper_float_23_recursive(buf + 2560, 9);
+    helper_float_23_recursive(buf + 3072, 9);
+    helper_float_23_recursive(buf + 3584, 9);
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 512; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_float_23_recursive(buf + 0, 12);
+    helper_float_23_recursive(buf + 4096, 12);
+    helper_float_23_recursive(buf + 8192, 12);
+    helper_float_23_recursive(buf + 12288, 12);
+    helper_float_23_recursive(buf + 16384, 12);
+    helper_float_23_recursive(buf + 20480, 12);
+    helper_float_23_recursive(buf + 24576, 12);
+    helper_float_23_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_float_23_recursive(buf + 0, 15);
+    helper_float_23_recursive(buf + 32768, 15);
+    helper_float_23_recursive(buf + 65536, 15);
+    helper_float_23_recursive(buf + 98304, 15);
+    helper_float_23_recursive(buf + 131072, 15);
+    helper_float_23_recursive(buf + 163840, 15);
+    helper_float_23_recursive(buf + 196608, 15);
+    helper_float_23_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_float_23_recursive(buf + 0, 18);
+    helper_float_23_recursive(buf + 262144, 18);
+    helper_float_23_recursive(buf + 524288, 18);
+    helper_float_23_recursive(buf + 786432, 18);
+    helper_float_23_recursive(buf + 1048576, 18);
+    helper_float_23_recursive(buf + 1310720, 18);
+    helper_float_23_recursive(buf + 1572864, 18);
+    helper_float_23_recursive(buf + 1835008, 18);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 262144; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1310720), "r"(buf + j + k + 1572864), "r"(buf + j + k + 1835008) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 23) {
+    helper_float_23_recursive(buf + 0, 21);
+    helper_float_23_recursive(buf + 2097152, 21);
+    helper_float_23_recursive(buf + 4194304, 21);
+    helper_float_23_recursive(buf + 6291456, 21);
+    for (int j = 0; j < 8388608; j += 8388608) {
+      for (int k = 0; k < 2097152; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movups %%xmm0, (%0)\n"
+          "movups %%xmm1, (%1)\n"
+          "movups %%xmm2, (%2)\n"
+          "movups %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2097152), "r"(buf + j + k + 4194304), "r"(buf + j + k + 6291456) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_23(float *buf);
+void helper_float_23(float *buf) {
+  helper_float_23_recursive(buf, 23);
+}
+void helper_float_24_recursive(float *buf, int depth);
+void helper_float_24_recursive(float *buf, int depth) {
+  if (depth == 15) {
+    for (int j = 0; j < 32768; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 32768; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 32768; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 32768; j += 16384) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 16384; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_float_24_recursive(buf + 0, 15);
+    helper_float_24_recursive(buf + 32768, 15);
+    helper_float_24_recursive(buf + 65536, 15);
+    helper_float_24_recursive(buf + 98304, 15);
+    helper_float_24_recursive(buf + 131072, 15);
+    helper_float_24_recursive(buf + 163840, 15);
+    helper_float_24_recursive(buf + 196608, 15);
+    helper_float_24_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_float_24_recursive(buf + 0, 18);
+    helper_float_24_recursive(buf + 262144, 18);
+    helper_float_24_recursive(buf + 524288, 18);
+    helper_float_24_recursive(buf + 786432, 18);
+    helper_float_24_recursive(buf + 1048576, 18);
+    helper_float_24_recursive(buf + 1310720, 18);
+    helper_float_24_recursive(buf + 1572864, 18);
+    helper_float_24_recursive(buf + 1835008, 18);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 262144; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1310720), "r"(buf + j + k + 1572864), "r"(buf + j + k + 1835008) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 24) {
+    helper_float_24_recursive(buf + 0, 21);
+    helper_float_24_recursive(buf + 2097152, 21);
+    helper_float_24_recursive(buf + 4194304, 21);
+    helper_float_24_recursive(buf + 6291456, 21);
+    helper_float_24_recursive(buf + 8388608, 21);
+    helper_float_24_recursive(buf + 10485760, 21);
+    helper_float_24_recursive(buf + 12582912, 21);
+    helper_float_24_recursive(buf + 14680064, 21);
+    for (int j = 0; j < 16777216; j += 16777216) {
+      for (int k = 0; k < 2097152; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2097152), "r"(buf + j + k + 4194304), "r"(buf + j + k + 6291456), "r"(buf + j + k + 8388608), "r"(buf + j + k + 10485760), "r"(buf + j + k + 12582912), "r"(buf + j + k + 14680064) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_24(float *buf);
+void helper_float_24(float *buf) {
+  helper_float_24_recursive(buf, 24);
+}
+void helper_float_25_recursive(float *buf, int depth);
+void helper_float_25_recursive(float *buf, int depth) {
+  if (depth == 8) {
+    for (int j = 0; j < 256; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 256; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 11) {
+    helper_float_25_recursive(buf + 0, 8);
+    helper_float_25_recursive(buf + 256, 8);
+    helper_float_25_recursive(buf + 512, 8);
+    helper_float_25_recursive(buf + 768, 8);
+    helper_float_25_recursive(buf + 1024, 8);
+    helper_float_25_recursive(buf + 1280, 8);
+    helper_float_25_recursive(buf + 1536, 8);
+    helper_float_25_recursive(buf + 1792, 8);
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_float_25_recursive(buf + 0, 11);
+    helper_float_25_recursive(buf + 2048, 11);
+    helper_float_25_recursive(buf + 4096, 11);
+    helper_float_25_recursive(buf + 6144, 11);
+    helper_float_25_recursive(buf + 8192, 11);
+    helper_float_25_recursive(buf + 10240, 11);
+    helper_float_25_recursive(buf + 12288, 11);
+    helper_float_25_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_float_25_recursive(buf + 0, 14);
+    helper_float_25_recursive(buf + 16384, 14);
+    helper_float_25_recursive(buf + 32768, 14);
+    helper_float_25_recursive(buf + 49152, 14);
+    helper_float_25_recursive(buf + 65536, 14);
+    helper_float_25_recursive(buf + 81920, 14);
+    helper_float_25_recursive(buf + 98304, 14);
+    helper_float_25_recursive(buf + 114688, 14);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 16384; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152), "r"(buf + j + k + 65536), "r"(buf + j + k + 81920), "r"(buf + j + k + 98304), "r"(buf + j + k + 114688) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 20) {
+    helper_float_25_recursive(buf + 0, 17);
+    helper_float_25_recursive(buf + 131072, 17);
+    helper_float_25_recursive(buf + 262144, 17);
+    helper_float_25_recursive(buf + 393216, 17);
+    helper_float_25_recursive(buf + 524288, 17);
+    helper_float_25_recursive(buf + 655360, 17);
+    helper_float_25_recursive(buf + 786432, 17);
+    helper_float_25_recursive(buf + 917504, 17);
+    for (int j = 0; j < 1048576; j += 1048576) {
+      for (int k = 0; k < 131072; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 131072), "r"(buf + j + k + 262144), "r"(buf + j + k + 393216), "r"(buf + j + k + 524288), "r"(buf + j + k + 655360), "r"(buf + j + k + 786432), "r"(buf + j + k + 917504) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 23) {
+    helper_float_25_recursive(buf + 0, 20);
+    helper_float_25_recursive(buf + 1048576, 20);
+    helper_float_25_recursive(buf + 2097152, 20);
+    helper_float_25_recursive(buf + 3145728, 20);
+    helper_float_25_recursive(buf + 4194304, 20);
+    helper_float_25_recursive(buf + 5242880, 20);
+    helper_float_25_recursive(buf + 6291456, 20);
+    helper_float_25_recursive(buf + 7340032, 20);
+    for (int j = 0; j < 8388608; j += 8388608) {
+      for (int k = 0; k < 1048576; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1048576), "r"(buf + j + k + 2097152), "r"(buf + j + k + 3145728), "r"(buf + j + k + 4194304), "r"(buf + j + k + 5242880), "r"(buf + j + k + 6291456), "r"(buf + j + k + 7340032) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 25) {
+    helper_float_25_recursive(buf + 0, 23);
+    helper_float_25_recursive(buf + 8388608, 23);
+    helper_float_25_recursive(buf + 16777216, 23);
+    helper_float_25_recursive(buf + 25165824, 23);
+    for (int j = 0; j < 33554432; j += 33554432) {
+      for (int k = 0; k < 8388608; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movups %%xmm0, (%0)\n"
+          "movups %%xmm1, (%1)\n"
+          "movups %%xmm2, (%2)\n"
+          "movups %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8388608), "r"(buf + j + k + 16777216), "r"(buf + j + k + 25165824) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_25(float *buf);
+void helper_float_25(float *buf) {
+  helper_float_25_recursive(buf, 25);
+}
+void helper_float_26_recursive(float *buf, int depth);
+void helper_float_26_recursive(float *buf, int depth) {
+  if (depth == 5) {
+    for (int j = 0; j < 32; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 8) {
+    helper_float_26_recursive(buf + 0, 5);
+    helper_float_26_recursive(buf + 32, 5);
+    helper_float_26_recursive(buf + 64, 5);
+    helper_float_26_recursive(buf + 96, 5);
+    helper_float_26_recursive(buf + 128, 5);
+    helper_float_26_recursive(buf + 160, 5);
+    helper_float_26_recursive(buf + 192, 5);
+    helper_float_26_recursive(buf + 224, 5);
+    for (int j = 0; j < 256; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 11) {
+    helper_float_26_recursive(buf + 0, 8);
+    helper_float_26_recursive(buf + 256, 8);
+    helper_float_26_recursive(buf + 512, 8);
+    helper_float_26_recursive(buf + 768, 8);
+    helper_float_26_recursive(buf + 1024, 8);
+    helper_float_26_recursive(buf + 1280, 8);
+    helper_float_26_recursive(buf + 1536, 8);
+    helper_float_26_recursive(buf + 1792, 8);
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_float_26_recursive(buf + 0, 11);
+    helper_float_26_recursive(buf + 2048, 11);
+    helper_float_26_recursive(buf + 4096, 11);
+    helper_float_26_recursive(buf + 6144, 11);
+    helper_float_26_recursive(buf + 8192, 11);
+    helper_float_26_recursive(buf + 10240, 11);
+    helper_float_26_recursive(buf + 12288, 11);
+    helper_float_26_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_float_26_recursive(buf + 0, 14);
+    helper_float_26_recursive(buf + 16384, 14);
+    helper_float_26_recursive(buf + 32768, 14);
+    helper_float_26_recursive(buf + 49152, 14);
+    helper_float_26_recursive(buf + 65536, 14);
+    helper_float_26_recursive(buf + 81920, 14);
+    helper_float_26_recursive(buf + 98304, 14);
+    helper_float_26_recursive(buf + 114688, 14);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 16384; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152), "r"(buf + j + k + 65536), "r"(buf + j + k + 81920), "r"(buf + j + k + 98304), "r"(buf + j + k + 114688) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 20) {
+    helper_float_26_recursive(buf + 0, 17);
+    helper_float_26_recursive(buf + 131072, 17);
+    helper_float_26_recursive(buf + 262144, 17);
+    helper_float_26_recursive(buf + 393216, 17);
+    helper_float_26_recursive(buf + 524288, 17);
+    helper_float_26_recursive(buf + 655360, 17);
+    helper_float_26_recursive(buf + 786432, 17);
+    helper_float_26_recursive(buf + 917504, 17);
+    for (int j = 0; j < 1048576; j += 1048576) {
+      for (int k = 0; k < 131072; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 131072), "r"(buf + j + k + 262144), "r"(buf + j + k + 393216), "r"(buf + j + k + 524288), "r"(buf + j + k + 655360), "r"(buf + j + k + 786432), "r"(buf + j + k + 917504) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 23) {
+    helper_float_26_recursive(buf + 0, 20);
+    helper_float_26_recursive(buf + 1048576, 20);
+    helper_float_26_recursive(buf + 2097152, 20);
+    helper_float_26_recursive(buf + 3145728, 20);
+    helper_float_26_recursive(buf + 4194304, 20);
+    helper_float_26_recursive(buf + 5242880, 20);
+    helper_float_26_recursive(buf + 6291456, 20);
+    helper_float_26_recursive(buf + 7340032, 20);
+    for (int j = 0; j < 8388608; j += 8388608) {
+      for (int k = 0; k < 1048576; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1048576), "r"(buf + j + k + 2097152), "r"(buf + j + k + 3145728), "r"(buf + j + k + 4194304), "r"(buf + j + k + 5242880), "r"(buf + j + k + 6291456), "r"(buf + j + k + 7340032) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 26) {
+    helper_float_26_recursive(buf + 0, 23);
+    helper_float_26_recursive(buf + 8388608, 23);
+    helper_float_26_recursive(buf + 16777216, 23);
+    helper_float_26_recursive(buf + 25165824, 23);
+    helper_float_26_recursive(buf + 33554432, 23);
+    helper_float_26_recursive(buf + 41943040, 23);
+    helper_float_26_recursive(buf + 50331648, 23);
+    helper_float_26_recursive(buf + 58720256, 23);
+    for (int j = 0; j < 67108864; j += 67108864) {
+      for (int k = 0; k < 8388608; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8388608), "r"(buf + j + k + 16777216), "r"(buf + j + k + 25165824), "r"(buf + j + k + 33554432), "r"(buf + j + k + 41943040), "r"(buf + j + k + 50331648), "r"(buf + j + k + 58720256) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_26(float *buf);
+void helper_float_26(float *buf) {
+  helper_float_26_recursive(buf, 26);
+}
+void helper_float_27_recursive(float *buf, int depth);
+void helper_float_27_recursive(float *buf, int depth) {
+  if (depth == 12) {
+    for (int j = 0; j < 4096; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_float_27_recursive(buf + 0, 12);
+    helper_float_27_recursive(buf + 4096, 12);
+    helper_float_27_recursive(buf + 8192, 12);
+    helper_float_27_recursive(buf + 12288, 12);
+    helper_float_27_recursive(buf + 16384, 12);
+    helper_float_27_recursive(buf + 20480, 12);
+    helper_float_27_recursive(buf + 24576, 12);
+    helper_float_27_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_float_27_recursive(buf + 0, 15);
+    helper_float_27_recursive(buf + 32768, 15);
+    helper_float_27_recursive(buf + 65536, 15);
+    helper_float_27_recursive(buf + 98304, 15);
+    helper_float_27_recursive(buf + 131072, 15);
+    helper_float_27_recursive(buf + 163840, 15);
+    helper_float_27_recursive(buf + 196608, 15);
+    helper_float_27_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_float_27_recursive(buf + 0, 18);
+    helper_float_27_recursive(buf + 262144, 18);
+    helper_float_27_recursive(buf + 524288, 18);
+    helper_float_27_recursive(buf + 786432, 18);
+    helper_float_27_recursive(buf + 1048576, 18);
+    helper_float_27_recursive(buf + 1310720, 18);
+    helper_float_27_recursive(buf + 1572864, 18);
+    helper_float_27_recursive(buf + 1835008, 18);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 262144; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1310720), "r"(buf + j + k + 1572864), "r"(buf + j + k + 1835008) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 24) {
+    helper_float_27_recursive(buf + 0, 21);
+    helper_float_27_recursive(buf + 2097152, 21);
+    helper_float_27_recursive(buf + 4194304, 21);
+    helper_float_27_recursive(buf + 6291456, 21);
+    helper_float_27_recursive(buf + 8388608, 21);
+    helper_float_27_recursive(buf + 10485760, 21);
+    helper_float_27_recursive(buf + 12582912, 21);
+    helper_float_27_recursive(buf + 14680064, 21);
+    for (int j = 0; j < 16777216; j += 16777216) {
+      for (int k = 0; k < 2097152; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2097152), "r"(buf + j + k + 4194304), "r"(buf + j + k + 6291456), "r"(buf + j + k + 8388608), "r"(buf + j + k + 10485760), "r"(buf + j + k + 12582912), "r"(buf + j + k + 14680064) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 27) {
+    helper_float_27_recursive(buf + 0, 24);
+    helper_float_27_recursive(buf + 16777216, 24);
+    helper_float_27_recursive(buf + 33554432, 24);
+    helper_float_27_recursive(buf + 50331648, 24);
+    helper_float_27_recursive(buf + 67108864, 24);
+    helper_float_27_recursive(buf + 83886080, 24);
+    helper_float_27_recursive(buf + 100663296, 24);
+    helper_float_27_recursive(buf + 117440512, 24);
+    for (int j = 0; j < 134217728; j += 134217728) {
+      for (int k = 0; k < 16777216; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16777216), "r"(buf + j + k + 33554432), "r"(buf + j + k + 50331648), "r"(buf + j + k + 67108864), "r"(buf + j + k + 83886080), "r"(buf + j + k + 100663296), "r"(buf + j + k + 117440512) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_27(float *buf);
+void helper_float_27(float *buf) {
+  helper_float_27_recursive(buf, 27);
+}
+void helper_float_28_recursive(float *buf, int depth);
+void helper_float_28_recursive(float *buf, int depth) {
+  if (depth == 16) {
+    for (int j = 0; j < 65536; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 65536; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 65536; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 65536; j += 16384) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 65536; j += 65536) {
+      for (int k = 0; k < 16384; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movups %%xmm0, (%0)\n"
+          "movups %%xmm1, (%1)\n"
+          "movups %%xmm2, (%2)\n"
+          "movups %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 19) {
+    helper_float_28_recursive(buf + 0, 16);
+    helper_float_28_recursive(buf + 65536, 16);
+    helper_float_28_recursive(buf + 131072, 16);
+    helper_float_28_recursive(buf + 196608, 16);
+    helper_float_28_recursive(buf + 262144, 16);
+    helper_float_28_recursive(buf + 327680, 16);
+    helper_float_28_recursive(buf + 393216, 16);
+    helper_float_28_recursive(buf + 458752, 16);
+    for (int j = 0; j < 524288; j += 524288) {
+      for (int k = 0; k < 65536; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 65536), "r"(buf + j + k + 131072), "r"(buf + j + k + 196608), "r"(buf + j + k + 262144), "r"(buf + j + k + 327680), "r"(buf + j + k + 393216), "r"(buf + j + k + 458752) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 22) {
+    helper_float_28_recursive(buf + 0, 19);
+    helper_float_28_recursive(buf + 524288, 19);
+    helper_float_28_recursive(buf + 1048576, 19);
+    helper_float_28_recursive(buf + 1572864, 19);
+    helper_float_28_recursive(buf + 2097152, 19);
+    helper_float_28_recursive(buf + 2621440, 19);
+    helper_float_28_recursive(buf + 3145728, 19);
+    helper_float_28_recursive(buf + 3670016, 19);
+    for (int j = 0; j < 4194304; j += 4194304) {
+      for (int k = 0; k < 524288; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 524288), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1572864), "r"(buf + j + k + 2097152), "r"(buf + j + k + 2621440), "r"(buf + j + k + 3145728), "r"(buf + j + k + 3670016) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 25) {
+    helper_float_28_recursive(buf + 0, 22);
+    helper_float_28_recursive(buf + 4194304, 22);
+    helper_float_28_recursive(buf + 8388608, 22);
+    helper_float_28_recursive(buf + 12582912, 22);
+    helper_float_28_recursive(buf + 16777216, 22);
+    helper_float_28_recursive(buf + 20971520, 22);
+    helper_float_28_recursive(buf + 25165824, 22);
+    helper_float_28_recursive(buf + 29360128, 22);
+    for (int j = 0; j < 33554432; j += 33554432) {
+      for (int k = 0; k < 4194304; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4194304), "r"(buf + j + k + 8388608), "r"(buf + j + k + 12582912), "r"(buf + j + k + 16777216), "r"(buf + j + k + 20971520), "r"(buf + j + k + 25165824), "r"(buf + j + k + 29360128) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 28) {
+    helper_float_28_recursive(buf + 0, 25);
+    helper_float_28_recursive(buf + 33554432, 25);
+    helper_float_28_recursive(buf + 67108864, 25);
+    helper_float_28_recursive(buf + 100663296, 25);
+    helper_float_28_recursive(buf + 134217728, 25);
+    helper_float_28_recursive(buf + 167772160, 25);
+    helper_float_28_recursive(buf + 201326592, 25);
+    helper_float_28_recursive(buf + 234881024, 25);
+    for (int j = 0; j < 268435456; j += 268435456) {
+      for (int k = 0; k < 33554432; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 33554432), "r"(buf + j + k + 67108864), "r"(buf + j + k + 100663296), "r"(buf + j + k + 134217728), "r"(buf + j + k + 167772160), "r"(buf + j + k + 201326592), "r"(buf + j + k + 234881024) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_28(float *buf);
+void helper_float_28(float *buf) {
+  helper_float_28_recursive(buf, 28);
+}
+void helper_float_29_recursive(float *buf, int depth);
+void helper_float_29_recursive(float *buf, int depth) {
+  if (depth == 12) {
+    for (int j = 0; j < 4096; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_float_29_recursive(buf + 0, 12);
+    helper_float_29_recursive(buf + 4096, 12);
+    helper_float_29_recursive(buf + 8192, 12);
+    helper_float_29_recursive(buf + 12288, 12);
+    helper_float_29_recursive(buf + 16384, 12);
+    helper_float_29_recursive(buf + 20480, 12);
+    helper_float_29_recursive(buf + 24576, 12);
+    helper_float_29_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_float_29_recursive(buf + 0, 15);
+    helper_float_29_recursive(buf + 32768, 15);
+    helper_float_29_recursive(buf + 65536, 15);
+    helper_float_29_recursive(buf + 98304, 15);
+    helper_float_29_recursive(buf + 131072, 15);
+    helper_float_29_recursive(buf + 163840, 15);
+    helper_float_29_recursive(buf + 196608, 15);
+    helper_float_29_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_float_29_recursive(buf + 0, 18);
+    helper_float_29_recursive(buf + 262144, 18);
+    helper_float_29_recursive(buf + 524288, 18);
+    helper_float_29_recursive(buf + 786432, 18);
+    helper_float_29_recursive(buf + 1048576, 18);
+    helper_float_29_recursive(buf + 1310720, 18);
+    helper_float_29_recursive(buf + 1572864, 18);
+    helper_float_29_recursive(buf + 1835008, 18);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 262144; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1310720), "r"(buf + j + k + 1572864), "r"(buf + j + k + 1835008) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 24) {
+    helper_float_29_recursive(buf + 0, 21);
+    helper_float_29_recursive(buf + 2097152, 21);
+    helper_float_29_recursive(buf + 4194304, 21);
+    helper_float_29_recursive(buf + 6291456, 21);
+    helper_float_29_recursive(buf + 8388608, 21);
+    helper_float_29_recursive(buf + 10485760, 21);
+    helper_float_29_recursive(buf + 12582912, 21);
+    helper_float_29_recursive(buf + 14680064, 21);
+    for (int j = 0; j < 16777216; j += 16777216) {
+      for (int k = 0; k < 2097152; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2097152), "r"(buf + j + k + 4194304), "r"(buf + j + k + 6291456), "r"(buf + j + k + 8388608), "r"(buf + j + k + 10485760), "r"(buf + j + k + 12582912), "r"(buf + j + k + 14680064) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 27) {
+    helper_float_29_recursive(buf + 0, 24);
+    helper_float_29_recursive(buf + 16777216, 24);
+    helper_float_29_recursive(buf + 33554432, 24);
+    helper_float_29_recursive(buf + 50331648, 24);
+    helper_float_29_recursive(buf + 67108864, 24);
+    helper_float_29_recursive(buf + 83886080, 24);
+    helper_float_29_recursive(buf + 100663296, 24);
+    helper_float_29_recursive(buf + 117440512, 24);
+    for (int j = 0; j < 134217728; j += 134217728) {
+      for (int k = 0; k < 16777216; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16777216), "r"(buf + j + k + 33554432), "r"(buf + j + k + 50331648), "r"(buf + j + k + 67108864), "r"(buf + j + k + 83886080), "r"(buf + j + k + 100663296), "r"(buf + j + k + 117440512) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 29) {
+    helper_float_29_recursive(buf + 0, 27);
+    helper_float_29_recursive(buf + 134217728, 27);
+    helper_float_29_recursive(buf + 268435456, 27);
+    helper_float_29_recursive(buf + 402653184, 27);
+    for (int j = 0; j < 536870912; j += 536870912) {
+      for (int k = 0; k < 134217728; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movups %%xmm0, (%0)\n"
+          "movups %%xmm1, (%1)\n"
+          "movups %%xmm2, (%2)\n"
+          "movups %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 134217728), "r"(buf + j + k + 268435456), "r"(buf + j + k + 402653184) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_29(float *buf);
+void helper_float_29(float *buf) {
+  helper_float_29_recursive(buf, 29);
+}
+void helper_float_30_recursive(float *buf, int depth);
+void helper_float_30_recursive(float *buf, int depth) {
+  if (depth == 12) {
+    for (int j = 0; j < 4096; j += 32) {
+      for (int k = 0; k < 4; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm0, %%xmm0\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm0, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm1, %%xmm1\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm1, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm2, %%xmm2\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm2, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm3, %%xmm3\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm3, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm4, %%xmm4\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm4, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm5, %%xmm5\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm5, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm6, %%xmm6\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm6, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $160, %%xmm8, %%xmm8\n"
+          "shufps $245, %%xmm7, %%xmm7\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "subps %%xmm7, %%xmm9\n"
+          "addsubps %%xmm9, %%xmm8\n"
+          "movaps %%xmm8, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm0, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm0, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm0\n"
+          "movaps %%xmm1, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm1, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm1, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm1\n"
+          "movaps %%xmm2, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm2\n"
+          "movaps %%xmm3, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm3, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm3\n"
+          "movaps %%xmm4, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm4, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm4, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm4\n"
+          "movaps %%xmm5, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm5, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm5, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm5\n"
+          "movaps %%xmm6, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm6, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm6, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm6\n"
+          "movaps %%xmm7, %%xmm8\n"
+          "shufps $68, %%xmm8, %%xmm8\n"
+          "xorps %%xmm9, %%xmm9\n"
+          "movaps %%xmm7, %%xmm10\n"
+          "shufps $14, %%xmm9, %%xmm10\n"
+          "movaps %%xmm7, %%xmm11\n"
+          "shufps $224, %%xmm11, %%xmm9\n"
+          "addps %%xmm8, %%xmm10\n"
+          "subps %%xmm9, %%xmm10\n"
+          "movaps %%xmm10, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 256) {
+      for (int k = 0; k < 32; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 2048) {
+      for (int k = 0; k < 256; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 2048; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_float_30_recursive(buf + 0, 12);
+    helper_float_30_recursive(buf + 4096, 12);
+    helper_float_30_recursive(buf + 8192, 12);
+    helper_float_30_recursive(buf + 12288, 12);
+    helper_float_30_recursive(buf + 16384, 12);
+    helper_float_30_recursive(buf + 20480, 12);
+    helper_float_30_recursive(buf + 24576, 12);
+    helper_float_30_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_float_30_recursive(buf + 0, 15);
+    helper_float_30_recursive(buf + 32768, 15);
+    helper_float_30_recursive(buf + 65536, 15);
+    helper_float_30_recursive(buf + 98304, 15);
+    helper_float_30_recursive(buf + 131072, 15);
+    helper_float_30_recursive(buf + 163840, 15);
+    helper_float_30_recursive(buf + 196608, 15);
+    helper_float_30_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_float_30_recursive(buf + 0, 18);
+    helper_float_30_recursive(buf + 262144, 18);
+    helper_float_30_recursive(buf + 524288, 18);
+    helper_float_30_recursive(buf + 786432, 18);
+    helper_float_30_recursive(buf + 1048576, 18);
+    helper_float_30_recursive(buf + 1310720, 18);
+    helper_float_30_recursive(buf + 1572864, 18);
+    helper_float_30_recursive(buf + 1835008, 18);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 262144; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1310720), "r"(buf + j + k + 1572864), "r"(buf + j + k + 1835008) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 24) {
+    helper_float_30_recursive(buf + 0, 21);
+    helper_float_30_recursive(buf + 2097152, 21);
+    helper_float_30_recursive(buf + 4194304, 21);
+    helper_float_30_recursive(buf + 6291456, 21);
+    helper_float_30_recursive(buf + 8388608, 21);
+    helper_float_30_recursive(buf + 10485760, 21);
+    helper_float_30_recursive(buf + 12582912, 21);
+    helper_float_30_recursive(buf + 14680064, 21);
+    for (int j = 0; j < 16777216; j += 16777216) {
+      for (int k = 0; k < 2097152; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2097152), "r"(buf + j + k + 4194304), "r"(buf + j + k + 6291456), "r"(buf + j + k + 8388608), "r"(buf + j + k + 10485760), "r"(buf + j + k + 12582912), "r"(buf + j + k + 14680064) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 27) {
+    helper_float_30_recursive(buf + 0, 24);
+    helper_float_30_recursive(buf + 16777216, 24);
+    helper_float_30_recursive(buf + 33554432, 24);
+    helper_float_30_recursive(buf + 50331648, 24);
+    helper_float_30_recursive(buf + 67108864, 24);
+    helper_float_30_recursive(buf + 83886080, 24);
+    helper_float_30_recursive(buf + 100663296, 24);
+    helper_float_30_recursive(buf + 117440512, 24);
+    for (int j = 0; j < 134217728; j += 134217728) {
+      for (int k = 0; k < 16777216; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16777216), "r"(buf + j + k + 33554432), "r"(buf + j + k + 50331648), "r"(buf + j + k + 67108864), "r"(buf + j + k + 83886080), "r"(buf + j + k + 100663296), "r"(buf + j + k + 117440512) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 30) {
+    helper_float_30_recursive(buf + 0, 27);
+    helper_float_30_recursive(buf + 134217728, 27);
+    helper_float_30_recursive(buf + 268435456, 27);
+    helper_float_30_recursive(buf + 402653184, 27);
+    helper_float_30_recursive(buf + 536870912, 27);
+    helper_float_30_recursive(buf + 671088640, 27);
+    helper_float_30_recursive(buf + 805306368, 27);
+    helper_float_30_recursive(buf + 939524096, 27);
+    for (int j = 0; j < 1073741824; j += 1073741824) {
+      for (int k = 0; k < 134217728; k += 4) {
+        __asm__ volatile (
+          "movups (%0), %%xmm0\n"
+          "movups (%1), %%xmm1\n"
+          "movups (%2), %%xmm2\n"
+          "movups (%3), %%xmm3\n"
+          "movups (%4), %%xmm4\n"
+          "movups (%5), %%xmm5\n"
+          "movups (%6), %%xmm6\n"
+          "movups (%7), %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm9\n"
+          "addps %%xmm1, %%xmm8\n"
+          "subps %%xmm1, %%xmm9\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm11\n"
+          "addps %%xmm3, %%xmm10\n"
+          "subps %%xmm3, %%xmm11\n"
+          "movaps %%xmm4, %%xmm12\n"
+          "movaps %%xmm4, %%xmm13\n"
+          "addps %%xmm5, %%xmm12\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm6, %%xmm14\n"
+          "movaps %%xmm6, %%xmm15\n"
+          "addps %%xmm7, %%xmm14\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movaps %%xmm8, %%xmm0\n"
+          "movaps %%xmm8, %%xmm2\n"
+          "addps %%xmm10, %%xmm0\n"
+          "subps %%xmm10, %%xmm2\n"
+          "movaps %%xmm9, %%xmm1\n"
+          "movaps %%xmm9, %%xmm3\n"
+          "addps %%xmm11, %%xmm1\n"
+          "subps %%xmm11, %%xmm3\n"
+          "movaps %%xmm12, %%xmm4\n"
+          "movaps %%xmm12, %%xmm6\n"
+          "addps %%xmm14, %%xmm4\n"
+          "subps %%xmm14, %%xmm6\n"
+          "movaps %%xmm13, %%xmm5\n"
+          "movaps %%xmm13, %%xmm7\n"
+          "addps %%xmm15, %%xmm5\n"
+          "subps %%xmm15, %%xmm7\n"
+          "movaps %%xmm0, %%xmm8\n"
+          "movaps %%xmm0, %%xmm12\n"
+          "addps %%xmm4, %%xmm8\n"
+          "subps %%xmm4, %%xmm12\n"
+          "movaps %%xmm1, %%xmm9\n"
+          "movaps %%xmm1, %%xmm13\n"
+          "addps %%xmm5, %%xmm9\n"
+          "subps %%xmm5, %%xmm13\n"
+          "movaps %%xmm2, %%xmm10\n"
+          "movaps %%xmm2, %%xmm14\n"
+          "addps %%xmm6, %%xmm10\n"
+          "subps %%xmm6, %%xmm14\n"
+          "movaps %%xmm3, %%xmm11\n"
+          "movaps %%xmm3, %%xmm15\n"
+          "addps %%xmm7, %%xmm11\n"
+          "subps %%xmm7, %%xmm15\n"
+          "movups %%xmm8, (%0)\n"
+          "movups %%xmm9, (%1)\n"
+          "movups %%xmm10, (%2)\n"
+          "movups %%xmm11, (%3)\n"
+          "movups %%xmm12, (%4)\n"
+          "movups %%xmm13, (%5)\n"
+          "movups %%xmm14, (%6)\n"
+          "movups %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 134217728), "r"(buf + j + k + 268435456), "r"(buf + j + k + 402653184), "r"(buf + j + k + 536870912), "r"(buf + j + k + 671088640), "r"(buf + j + k + 805306368), "r"(buf + j + k + 939524096) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_float_30(float *buf);
+void helper_float_30(float *buf) {
+  helper_float_30_recursive(buf, 30);
+}
+int fht_float(float *buf, int log_n) {
+  if (log_n == 0) {
+    return 0;
+  }
+  if (log_n == 1) {
+    helper_float_1(buf);
+    return 0;
+  }
+  if (log_n == 2) {
+    helper_float_2(buf);
+    return 0;
+  }
+  if (log_n == 3) {
+    helper_float_3(buf);
+    return 0;
+  }
+  if (log_n == 4) {
+    helper_float_4(buf);
+    return 0;
+  }
+  if (log_n == 5) {
+    helper_float_5(buf);
+    return 0;
+  }
+  if (log_n == 6) {
+    helper_float_6(buf);
+    return 0;
+  }
+  if (log_n == 7) {
+    helper_float_7(buf);
+    return 0;
+  }
+  if (log_n == 8) {
+    helper_float_8(buf);
+    return 0;
+  }
+  if (log_n == 9) {
+    helper_float_9(buf);
+    return 0;
+  }
+  if (log_n == 10) {
+    helper_float_10(buf);
+    return 0;
+  }
+  if (log_n == 11) {
+    helper_float_11(buf);
+    return 0;
+  }
+  if (log_n == 12) {
+    helper_float_12(buf);
+    return 0;
+  }
+  if (log_n == 13) {
+    helper_float_13(buf);
+    return 0;
+  }
+  if (log_n == 14) {
+    helper_float_14(buf);
+    return 0;
+  }
+  if (log_n == 15) {
+    helper_float_15(buf);
+    return 0;
+  }
+  if (log_n == 16) {
+    helper_float_16(buf);
+    return 0;
+  }
+  if (log_n == 17) {
+    helper_float_17(buf);
+    return 0;
+  }
+  if (log_n == 18) {
+    helper_float_18(buf);
+    return 0;
+  }
+  if (log_n == 19) {
+    helper_float_19(buf);
+    return 0;
+  }
+  if (log_n == 20) {
+    helper_float_20(buf);
+    return 0;
+  }
+  if (log_n == 21) {
+    helper_float_21(buf);
+    return 0;
+  }
+  if (log_n == 22) {
+    helper_float_22(buf);
+    return 0;
+  }
+  if (log_n == 23) {
+    helper_float_23(buf);
+    return 0;
+  }
+  if (log_n == 24) {
+    helper_float_24(buf);
+    return 0;
+  }
+  if (log_n == 25) {
+    helper_float_25(buf);
+    return 0;
+  }
+  if (log_n == 26) {
+    helper_float_26(buf);
+    return 0;
+  }
+  if (log_n == 27) {
+    helper_float_27(buf);
+    return 0;
+  }
+  if (log_n == 28) {
+    helper_float_28(buf);
+    return 0;
+  }
+  if (log_n == 29) {
+    helper_float_29(buf);
+    return 0;
+  }
+  if (log_n == 30) {
+    helper_float_30(buf);
+    return 0;
+  }
+  return 1;
+}
+static inline void helper_double_1(double *buf);
+static inline void helper_double_1(double *buf) {
+  for (int j = 0; j < 2; j += 2) {
+    __asm__ volatile (
+      "movupd (%0), %%xmm0\n"
+      "movapd %%xmm0, %%xmm8\n"
+      "haddpd %%xmm8, %%xmm8\n"
+      "movapd %%xmm0, %%xmm9\n"
+      "hsubpd %%xmm9, %%xmm9\n"
+      "blendpd $1, %%xmm8, %%xmm9\n"
+      "movapd %%xmm9, %%xmm0\n"
+      "movupd %%xmm0, (%0)\n"
+      :: "r"(buf + j) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+    );
+  }
+}
+void helper_double_2_recursive(double *buf, int depth);
+void helper_double_2_recursive(double *buf, int depth) {
+  if (depth == 2) {
+    for (int j = 0; j < 4; j += 4) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_2(double *buf);
+void helper_double_2(double *buf) {
+  helper_double_2_recursive(buf, 2);
+}
+void helper_double_3_recursive(double *buf, int depth);
+void helper_double_3_recursive(double *buf, int depth) {
+  if (depth == 3) {
+    for (int j = 0; j < 8; j += 8) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm2, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm2, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm2\n"
+          "movapd %%xmm3, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm3, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_3(double *buf);
+void helper_double_3(double *buf) {
+  helper_double_3_recursive(buf, 3);
+}
+static inline void helper_double_4(double *buf);
+static inline void helper_double_4(double *buf) {
+  for (int j = 0; j < 16; j += 16) {
+    for (int k = 0; k < 2; k += 2) {
+      __asm__ volatile (
+        "movupd (%0), %%xmm0\n"
+        "movupd (%1), %%xmm1\n"
+        "movupd (%2), %%xmm2\n"
+        "movupd (%3), %%xmm3\n"
+        "movupd (%4), %%xmm4\n"
+        "movupd (%5), %%xmm5\n"
+        "movupd (%6), %%xmm6\n"
+        "movupd (%7), %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm0, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm0\n"
+        "movapd %%xmm1, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm1, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm1\n"
+        "movapd %%xmm2, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm2, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm2\n"
+        "movapd %%xmm3, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm3, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm3\n"
+        "movapd %%xmm4, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm4, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm4\n"
+        "movapd %%xmm5, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm5, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm5\n"
+        "movapd %%xmm6, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm6, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm6\n"
+        "movapd %%xmm7, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm7, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "movapd %%xmm0, %%xmm9\n"
+        "addpd %%xmm1, %%xmm8\n"
+        "subpd %%xmm1, %%xmm9\n"
+        "movapd %%xmm2, %%xmm10\n"
+        "movapd %%xmm2, %%xmm11\n"
+        "addpd %%xmm3, %%xmm10\n"
+        "subpd %%xmm3, %%xmm11\n"
+        "movapd %%xmm4, %%xmm12\n"
+        "movapd %%xmm4, %%xmm13\n"
+        "addpd %%xmm5, %%xmm12\n"
+        "subpd %%xmm5, %%xmm13\n"
+        "movapd %%xmm6, %%xmm14\n"
+        "movapd %%xmm6, %%xmm15\n"
+        "addpd %%xmm7, %%xmm14\n"
+        "subpd %%xmm7, %%xmm15\n"
+        "movapd %%xmm8, %%xmm0\n"
+        "movapd %%xmm8, %%xmm2\n"
+        "addpd %%xmm10, %%xmm0\n"
+        "subpd %%xmm10, %%xmm2\n"
+        "movapd %%xmm9, %%xmm1\n"
+        "movapd %%xmm9, %%xmm3\n"
+        "addpd %%xmm11, %%xmm1\n"
+        "subpd %%xmm11, %%xmm3\n"
+        "movapd %%xmm12, %%xmm4\n"
+        "movapd %%xmm12, %%xmm6\n"
+        "addpd %%xmm14, %%xmm4\n"
+        "subpd %%xmm14, %%xmm6\n"
+        "movapd %%xmm13, %%xmm5\n"
+        "movapd %%xmm13, %%xmm7\n"
+        "addpd %%xmm15, %%xmm5\n"
+        "subpd %%xmm15, %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "movapd %%xmm0, %%xmm12\n"
+        "addpd %%xmm4, %%xmm8\n"
+        "subpd %%xmm4, %%xmm12\n"
+        "movapd %%xmm1, %%xmm9\n"
+        "movapd %%xmm1, %%xmm13\n"
+        "addpd %%xmm5, %%xmm9\n"
+        "subpd %%xmm5, %%xmm13\n"
+        "movapd %%xmm2, %%xmm10\n"
+        "movapd %%xmm2, %%xmm14\n"
+        "addpd %%xmm6, %%xmm10\n"
+        "subpd %%xmm6, %%xmm14\n"
+        "movapd %%xmm3, %%xmm11\n"
+        "movapd %%xmm3, %%xmm15\n"
+        "addpd %%xmm7, %%xmm11\n"
+        "subpd %%xmm7, %%xmm15\n"
+        "movupd %%xmm8, (%0)\n"
+        "movupd %%xmm9, (%1)\n"
+        "movupd %%xmm10, (%2)\n"
+        "movupd %%xmm11, (%3)\n"
+        "movupd %%xmm12, (%4)\n"
+        "movupd %%xmm13, (%5)\n"
+        "movupd %%xmm14, (%6)\n"
+        "movupd %%xmm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6), "r"(buf + j + k + 8), "r"(buf + j + k + 10), "r"(buf + j + k + 12), "r"(buf + j + k + 14) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+}
+void helper_double_5_recursive(double *buf, int depth);
+void helper_double_5_recursive(double *buf, int depth) {
+  if (depth == 2) {
+    for (int j = 0; j < 4; j += 4) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 5) {
+    helper_double_5_recursive(buf + 0, 2);
+    helper_double_5_recursive(buf + 4, 2);
+    helper_double_5_recursive(buf + 8, 2);
+    helper_double_5_recursive(buf + 12, 2);
+    helper_double_5_recursive(buf + 16, 2);
+    helper_double_5_recursive(buf + 20, 2);
+    helper_double_5_recursive(buf + 24, 2);
+    helper_double_5_recursive(buf + 28, 2);
+    for (int j = 0; j < 32; j += 32) {
+      for (int k = 0; k < 4; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_5(double *buf);
+void helper_double_5(double *buf) {
+  helper_double_5_recursive(buf, 5);
+}
+static inline void helper_double_6(double *buf);
+static inline void helper_double_6(double *buf) {
+  for (int j = 0; j < 64; j += 16) {
+    for (int k = 0; k < 2; k += 2) {
+      __asm__ volatile (
+        "movupd (%0), %%xmm0\n"
+        "movupd (%1), %%xmm1\n"
+        "movupd (%2), %%xmm2\n"
+        "movupd (%3), %%xmm3\n"
+        "movupd (%4), %%xmm4\n"
+        "movupd (%5), %%xmm5\n"
+        "movupd (%6), %%xmm6\n"
+        "movupd (%7), %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm0, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm0\n"
+        "movapd %%xmm1, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm1, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm1\n"
+        "movapd %%xmm2, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm2, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm2\n"
+        "movapd %%xmm3, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm3, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm3\n"
+        "movapd %%xmm4, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm4, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm4\n"
+        "movapd %%xmm5, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm5, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm5\n"
+        "movapd %%xmm6, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm6, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm6\n"
+        "movapd %%xmm7, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm7, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "movapd %%xmm0, %%xmm9\n"
+        "addpd %%xmm1, %%xmm8\n"
+        "subpd %%xmm1, %%xmm9\n"
+        "movapd %%xmm2, %%xmm10\n"
+        "movapd %%xmm2, %%xmm11\n"
+        "addpd %%xmm3, %%xmm10\n"
+        "subpd %%xmm3, %%xmm11\n"
+        "movapd %%xmm4, %%xmm12\n"
+        "movapd %%xmm4, %%xmm13\n"
+        "addpd %%xmm5, %%xmm12\n"
+        "subpd %%xmm5, %%xmm13\n"
+        "movapd %%xmm6, %%xmm14\n"
+        "movapd %%xmm6, %%xmm15\n"
+        "addpd %%xmm7, %%xmm14\n"
+        "subpd %%xmm7, %%xmm15\n"
+        "movapd %%xmm8, %%xmm0\n"
+        "movapd %%xmm8, %%xmm2\n"
+        "addpd %%xmm10, %%xmm0\n"
+        "subpd %%xmm10, %%xmm2\n"
+        "movapd %%xmm9, %%xmm1\n"
+        "movapd %%xmm9, %%xmm3\n"
+        "addpd %%xmm11, %%xmm1\n"
+        "subpd %%xmm11, %%xmm3\n"
+        "movapd %%xmm12, %%xmm4\n"
+        "movapd %%xmm12, %%xmm6\n"
+        "addpd %%xmm14, %%xmm4\n"
+        "subpd %%xmm14, %%xmm6\n"
+        "movapd %%xmm13, %%xmm5\n"
+        "movapd %%xmm13, %%xmm7\n"
+        "addpd %%xmm15, %%xmm5\n"
+        "subpd %%xmm15, %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "movapd %%xmm0, %%xmm12\n"
+        "addpd %%xmm4, %%xmm8\n"
+        "subpd %%xmm4, %%xmm12\n"
+        "movapd %%xmm1, %%xmm9\n"
+        "movapd %%xmm1, %%xmm13\n"
+        "addpd %%xmm5, %%xmm9\n"
+        "subpd %%xmm5, %%xmm13\n"
+        "movapd %%xmm2, %%xmm10\n"
+        "movapd %%xmm2, %%xmm14\n"
+        "addpd %%xmm6, %%xmm10\n"
+        "subpd %%xmm6, %%xmm14\n"
+        "movapd %%xmm3, %%xmm11\n"
+        "movapd %%xmm3, %%xmm15\n"
+        "addpd %%xmm7, %%xmm11\n"
+        "subpd %%xmm7, %%xmm15\n"
+        "movupd %%xmm8, (%0)\n"
+        "movupd %%xmm9, (%1)\n"
+        "movupd %%xmm10, (%2)\n"
+        "movupd %%xmm11, (%3)\n"
+        "movupd %%xmm12, (%4)\n"
+        "movupd %%xmm13, (%5)\n"
+        "movupd %%xmm14, (%6)\n"
+        "movupd %%xmm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6), "r"(buf + j + k + 8), "r"(buf + j + k + 10), "r"(buf + j + k + 12), "r"(buf + j + k + 14) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 64; j += 64) {
+    for (int k = 0; k < 16; k += 2) {
+      __asm__ volatile (
+        "movupd (%0), %%xmm0\n"
+        "movupd (%1), %%xmm1\n"
+        "movupd (%2), %%xmm2\n"
+        "movupd (%3), %%xmm3\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "movapd %%xmm0, %%xmm9\n"
+        "addpd %%xmm1, %%xmm8\n"
+        "subpd %%xmm1, %%xmm9\n"
+        "movapd %%xmm2, %%xmm10\n"
+        "movapd %%xmm2, %%xmm11\n"
+        "addpd %%xmm3, %%xmm10\n"
+        "subpd %%xmm3, %%xmm11\n"
+        "movapd %%xmm8, %%xmm0\n"
+        "movapd %%xmm8, %%xmm2\n"
+        "addpd %%xmm10, %%xmm0\n"
+        "subpd %%xmm10, %%xmm2\n"
+        "movapd %%xmm9, %%xmm1\n"
+        "movapd %%xmm9, %%xmm3\n"
+        "addpd %%xmm11, %%xmm1\n"
+        "subpd %%xmm11, %%xmm3\n"
+        "movupd %%xmm0, (%0)\n"
+        "movupd %%xmm1, (%1)\n"
+        "movupd %%xmm2, (%2)\n"
+        "movupd %%xmm3, (%3)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 16), "r"(buf + j + k + 32), "r"(buf + j + k + 48) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+}
+static inline void helper_double_7(double *buf);
+static inline void helper_double_7(double *buf) {
+  for (int j = 0; j < 128; j += 16) {
+    for (int k = 0; k < 2; k += 2) {
+      __asm__ volatile (
+        "movupd (%0), %%xmm0\n"
+        "movupd (%1), %%xmm1\n"
+        "movupd (%2), %%xmm2\n"
+        "movupd (%3), %%xmm3\n"
+        "movupd (%4), %%xmm4\n"
+        "movupd (%5), %%xmm5\n"
+        "movupd (%6), %%xmm6\n"
+        "movupd (%7), %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm0, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm0\n"
+        "movapd %%xmm1, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm1, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm1\n"
+        "movapd %%xmm2, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm2, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm2\n"
+        "movapd %%xmm3, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm3, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm3\n"
+        "movapd %%xmm4, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm4, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm4\n"
+        "movapd %%xmm5, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm5, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm5\n"
+        "movapd %%xmm6, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm6, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm6\n"
+        "movapd %%xmm7, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm7, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "movapd %%xmm0, %%xmm9\n"
+        "addpd %%xmm1, %%xmm8\n"
+        "subpd %%xmm1, %%xmm9\n"
+        "movapd %%xmm2, %%xmm10\n"
+        "movapd %%xmm2, %%xmm11\n"
+        "addpd %%xmm3, %%xmm10\n"
+        "subpd %%xmm3, %%xmm11\n"
+        "movapd %%xmm4, %%xmm12\n"
+        "movapd %%xmm4, %%xmm13\n"
+        "addpd %%xmm5, %%xmm12\n"
+        "subpd %%xmm5, %%xmm13\n"
+        "movapd %%xmm6, %%xmm14\n"
+        "movapd %%xmm6, %%xmm15\n"
+        "addpd %%xmm7, %%xmm14\n"
+        "subpd %%xmm7, %%xmm15\n"
+        "movapd %%xmm8, %%xmm0\n"
+        "movapd %%xmm8, %%xmm2\n"
+        "addpd %%xmm10, %%xmm0\n"
+        "subpd %%xmm10, %%xmm2\n"
+        "movapd %%xmm9, %%xmm1\n"
+        "movapd %%xmm9, %%xmm3\n"
+        "addpd %%xmm11, %%xmm1\n"
+        "subpd %%xmm11, %%xmm3\n"
+        "movapd %%xmm12, %%xmm4\n"
+        "movapd %%xmm12, %%xmm6\n"
+        "addpd %%xmm14, %%xmm4\n"
+        "subpd %%xmm14, %%xmm6\n"
+        "movapd %%xmm13, %%xmm5\n"
+        "movapd %%xmm13, %%xmm7\n"
+        "addpd %%xmm15, %%xmm5\n"
+        "subpd %%xmm15, %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "movapd %%xmm0, %%xmm12\n"
+        "addpd %%xmm4, %%xmm8\n"
+        "subpd %%xmm4, %%xmm12\n"
+        "movapd %%xmm1, %%xmm9\n"
+        "movapd %%xmm1, %%xmm13\n"
+        "addpd %%xmm5, %%xmm9\n"
+        "subpd %%xmm5, %%xmm13\n"
+        "movapd %%xmm2, %%xmm10\n"
+        "movapd %%xmm2, %%xmm14\n"
+        "addpd %%xmm6, %%xmm10\n"
+        "subpd %%xmm6, %%xmm14\n"
+        "movapd %%xmm3, %%xmm11\n"
+        "movapd %%xmm3, %%xmm15\n"
+        "addpd %%xmm7, %%xmm11\n"
+        "subpd %%xmm7, %%xmm15\n"
+        "movupd %%xmm8, (%0)\n"
+        "movupd %%xmm9, (%1)\n"
+        "movupd %%xmm10, (%2)\n"
+        "movupd %%xmm11, (%3)\n"
+        "movupd %%xmm12, (%4)\n"
+        "movupd %%xmm13, (%5)\n"
+        "movupd %%xmm14, (%6)\n"
+        "movupd %%xmm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6), "r"(buf + j + k + 8), "r"(buf + j + k + 10), "r"(buf + j + k + 12), "r"(buf + j + k + 14) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 128; j += 128) {
+    for (int k = 0; k < 16; k += 2) {
+      __asm__ volatile (
+        "movupd (%0), %%xmm0\n"
+        "movupd (%1), %%xmm1\n"
+        "movupd (%2), %%xmm2\n"
+        "movupd (%3), %%xmm3\n"
+        "movupd (%4), %%xmm4\n"
+        "movupd (%5), %%xmm5\n"
+        "movupd (%6), %%xmm6\n"
+        "movupd (%7), %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "movapd %%xmm0, %%xmm9\n"
+        "addpd %%xmm1, %%xmm8\n"
+        "subpd %%xmm1, %%xmm9\n"
+        "movapd %%xmm2, %%xmm10\n"
+        "movapd %%xmm2, %%xmm11\n"
+        "addpd %%xmm3, %%xmm10\n"
+        "subpd %%xmm3, %%xmm11\n"
+        "movapd %%xmm4, %%xmm12\n"
+        "movapd %%xmm4, %%xmm13\n"
+        "addpd %%xmm5, %%xmm12\n"
+        "subpd %%xmm5, %%xmm13\n"
+        "movapd %%xmm6, %%xmm14\n"
+        "movapd %%xmm6, %%xmm15\n"
+        "addpd %%xmm7, %%xmm14\n"
+        "subpd %%xmm7, %%xmm15\n"
+        "movapd %%xmm8, %%xmm0\n"
+        "movapd %%xmm8, %%xmm2\n"
+        "addpd %%xmm10, %%xmm0\n"
+        "subpd %%xmm10, %%xmm2\n"
+        "movapd %%xmm9, %%xmm1\n"
+        "movapd %%xmm9, %%xmm3\n"
+        "addpd %%xmm11, %%xmm1\n"
+        "subpd %%xmm11, %%xmm3\n"
+        "movapd %%xmm12, %%xmm4\n"
+        "movapd %%xmm12, %%xmm6\n"
+        "addpd %%xmm14, %%xmm4\n"
+        "subpd %%xmm14, %%xmm6\n"
+        "movapd %%xmm13, %%xmm5\n"
+        "movapd %%xmm13, %%xmm7\n"
+        "addpd %%xmm15, %%xmm5\n"
+        "subpd %%xmm15, %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "movapd %%xmm0, %%xmm12\n"
+        "addpd %%xmm4, %%xmm8\n"
+        "subpd %%xmm4, %%xmm12\n"
+        "movapd %%xmm1, %%xmm9\n"
+        "movapd %%xmm1, %%xmm13\n"
+        "addpd %%xmm5, %%xmm9\n"
+        "subpd %%xmm5, %%xmm13\n"
+        "movapd %%xmm2, %%xmm10\n"
+        "movapd %%xmm2, %%xmm14\n"
+        "addpd %%xmm6, %%xmm10\n"
+        "subpd %%xmm6, %%xmm14\n"
+        "movapd %%xmm3, %%xmm11\n"
+        "movapd %%xmm3, %%xmm15\n"
+        "addpd %%xmm7, %%xmm11\n"
+        "subpd %%xmm7, %%xmm15\n"
+        "movupd %%xmm8, (%0)\n"
+        "movupd %%xmm9, (%1)\n"
+        "movupd %%xmm10, (%2)\n"
+        "movupd %%xmm11, (%3)\n"
+        "movupd %%xmm12, (%4)\n"
+        "movupd %%xmm13, (%5)\n"
+        "movupd %%xmm14, (%6)\n"
+        "movupd %%xmm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 16), "r"(buf + j + k + 32), "r"(buf + j + k + 48), "r"(buf + j + k + 64), "r"(buf + j + k + 80), "r"(buf + j + k + 96), "r"(buf + j + k + 112) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+}
+void helper_double_8_recursive(double *buf, int depth);
+void helper_double_8_recursive(double *buf, int depth) {
+  if (depth == 2) {
+    for (int j = 0; j < 4; j += 4) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 5) {
+    helper_double_8_recursive(buf + 0, 2);
+    helper_double_8_recursive(buf + 4, 2);
+    helper_double_8_recursive(buf + 8, 2);
+    helper_double_8_recursive(buf + 12, 2);
+    helper_double_8_recursive(buf + 16, 2);
+    helper_double_8_recursive(buf + 20, 2);
+    helper_double_8_recursive(buf + 24, 2);
+    helper_double_8_recursive(buf + 28, 2);
+    for (int j = 0; j < 32; j += 32) {
+      for (int k = 0; k < 4; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 8) {
+    helper_double_8_recursive(buf + 0, 5);
+    helper_double_8_recursive(buf + 32, 5);
+    helper_double_8_recursive(buf + 64, 5);
+    helper_double_8_recursive(buf + 96, 5);
+    helper_double_8_recursive(buf + 128, 5);
+    helper_double_8_recursive(buf + 160, 5);
+    helper_double_8_recursive(buf + 192, 5);
+    helper_double_8_recursive(buf + 224, 5);
+    for (int j = 0; j < 256; j += 256) {
+      for (int k = 0; k < 32; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_8(double *buf);
+void helper_double_8(double *buf) {
+  helper_double_8_recursive(buf, 8);
+}
+void helper_double_9_recursive(double *buf, int depth);
+void helper_double_9_recursive(double *buf, int depth) {
+  if (depth == 6) {
+    for (int j = 0; j < 64; j += 16) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm2, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm2, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm2\n"
+          "movapd %%xmm3, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm3, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "movapd %%xmm4, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm4, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm4\n"
+          "movapd %%xmm5, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm5, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm5\n"
+          "movapd %%xmm6, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm6, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm6\n"
+          "movapd %%xmm7, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm7, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6), "r"(buf + j + k + 8), "r"(buf + j + k + 10), "r"(buf + j + k + 12), "r"(buf + j + k + 14) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 64; j += 64) {
+      for (int k = 0; k < 16; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16), "r"(buf + j + k + 32), "r"(buf + j + k + 48) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 9) {
+    helper_double_9_recursive(buf + 0, 6);
+    helper_double_9_recursive(buf + 64, 6);
+    helper_double_9_recursive(buf + 128, 6);
+    helper_double_9_recursive(buf + 192, 6);
+    helper_double_9_recursive(buf + 256, 6);
+    helper_double_9_recursive(buf + 320, 6);
+    helper_double_9_recursive(buf + 384, 6);
+    helper_double_9_recursive(buf + 448, 6);
+    for (int j = 0; j < 512; j += 512) {
+      for (int k = 0; k < 64; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_9(double *buf);
+void helper_double_9(double *buf) {
+  helper_double_9_recursive(buf, 9);
+}
+void helper_double_10_recursive(double *buf, int depth);
+void helper_double_10_recursive(double *buf, int depth) {
+  if (depth == 10) {
+    for (int j = 0; j < 1024; j += 16) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm2, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm2, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm2\n"
+          "movapd %%xmm3, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm3, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "movapd %%xmm4, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm4, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm4\n"
+          "movapd %%xmm5, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm5, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm5\n"
+          "movapd %%xmm6, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm6, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm6\n"
+          "movapd %%xmm7, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm7, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6), "r"(buf + j + k + 8), "r"(buf + j + k + 10), "r"(buf + j + k + 12), "r"(buf + j + k + 14) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 1024; j += 128) {
+      for (int k = 0; k < 16; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16), "r"(buf + j + k + 32), "r"(buf + j + k + 48), "r"(buf + j + k + 64), "r"(buf + j + k + 80), "r"(buf + j + k + 96), "r"(buf + j + k + 112) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 1024; j += 1024) {
+      for (int k = 0; k < 128; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 128), "r"(buf + j + k + 256), "r"(buf + j + k + 384), "r"(buf + j + k + 512), "r"(buf + j + k + 640), "r"(buf + j + k + 768), "r"(buf + j + k + 896) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_10(double *buf);
+void helper_double_10(double *buf) {
+  helper_double_10_recursive(buf, 10);
+}
+void helper_double_11_recursive(double *buf, int depth);
+void helper_double_11_recursive(double *buf, int depth) {
+  if (depth == 2) {
+    for (int j = 0; j < 4; j += 4) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 5) {
+    helper_double_11_recursive(buf + 0, 2);
+    helper_double_11_recursive(buf + 4, 2);
+    helper_double_11_recursive(buf + 8, 2);
+    helper_double_11_recursive(buf + 12, 2);
+    helper_double_11_recursive(buf + 16, 2);
+    helper_double_11_recursive(buf + 20, 2);
+    helper_double_11_recursive(buf + 24, 2);
+    helper_double_11_recursive(buf + 28, 2);
+    for (int j = 0; j < 32; j += 32) {
+      for (int k = 0; k < 4; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 8) {
+    helper_double_11_recursive(buf + 0, 5);
+    helper_double_11_recursive(buf + 32, 5);
+    helper_double_11_recursive(buf + 64, 5);
+    helper_double_11_recursive(buf + 96, 5);
+    helper_double_11_recursive(buf + 128, 5);
+    helper_double_11_recursive(buf + 160, 5);
+    helper_double_11_recursive(buf + 192, 5);
+    helper_double_11_recursive(buf + 224, 5);
+    for (int j = 0; j < 256; j += 256) {
+      for (int k = 0; k < 32; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 11) {
+    helper_double_11_recursive(buf + 0, 8);
+    helper_double_11_recursive(buf + 256, 8);
+    helper_double_11_recursive(buf + 512, 8);
+    helper_double_11_recursive(buf + 768, 8);
+    helper_double_11_recursive(buf + 1024, 8);
+    helper_double_11_recursive(buf + 1280, 8);
+    helper_double_11_recursive(buf + 1536, 8);
+    helper_double_11_recursive(buf + 1792, 8);
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_11(double *buf);
+void helper_double_11(double *buf) {
+  helper_double_11_recursive(buf, 11);
+}
+void helper_double_12_recursive(double *buf, int depth);
+void helper_double_12_recursive(double *buf, int depth) {
+  if (depth == 10) {
+    for (int j = 0; j < 1024; j += 16) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm2, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm2, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm2\n"
+          "movapd %%xmm3, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm3, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "movapd %%xmm4, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm4, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm4\n"
+          "movapd %%xmm5, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm5, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm5\n"
+          "movapd %%xmm6, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm6, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm6\n"
+          "movapd %%xmm7, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm7, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6), "r"(buf + j + k + 8), "r"(buf + j + k + 10), "r"(buf + j + k + 12), "r"(buf + j + k + 14) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 1024; j += 128) {
+      for (int k = 0; k < 16; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16), "r"(buf + j + k + 32), "r"(buf + j + k + 48), "r"(buf + j + k + 64), "r"(buf + j + k + 80), "r"(buf + j + k + 96), "r"(buf + j + k + 112) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 1024; j += 1024) {
+      for (int k = 0; k < 128; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 128), "r"(buf + j + k + 256), "r"(buf + j + k + 384), "r"(buf + j + k + 512), "r"(buf + j + k + 640), "r"(buf + j + k + 768), "r"(buf + j + k + 896) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 12) {
+    helper_double_12_recursive(buf + 0, 10);
+    helper_double_12_recursive(buf + 1024, 10);
+    helper_double_12_recursive(buf + 2048, 10);
+    helper_double_12_recursive(buf + 3072, 10);
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 1024; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1024), "r"(buf + j + k + 2048), "r"(buf + j + k + 3072) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_12(double *buf);
+void helper_double_12(double *buf) {
+  helper_double_12_recursive(buf, 12);
+}
+static inline void helper_double_13(double *buf);
+static inline void helper_double_13(double *buf) {
+  for (int j = 0; j < 8192; j += 16) {
+    for (int k = 0; k < 2; k += 2) {
+      __asm__ volatile (
+        "movupd (%0), %%xmm0\n"
+        "movupd (%1), %%xmm1\n"
+        "movupd (%2), %%xmm2\n"
+        "movupd (%3), %%xmm3\n"
+        "movupd (%4), %%xmm4\n"
+        "movupd (%5), %%xmm5\n"
+        "movupd (%6), %%xmm6\n"
+        "movupd (%7), %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm0, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm0\n"
+        "movapd %%xmm1, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm1, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm1\n"
+        "movapd %%xmm2, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm2, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm2\n"
+        "movapd %%xmm3, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm3, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm3\n"
+        "movapd %%xmm4, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm4, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm4\n"
+        "movapd %%xmm5, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm5, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm5\n"
+        "movapd %%xmm6, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm6, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm6\n"
+        "movapd %%xmm7, %%xmm8\n"
+        "haddpd %%xmm8, %%xmm8\n"
+        "movapd %%xmm7, %%xmm9\n"
+        "hsubpd %%xmm9, %%xmm9\n"
+        "blendpd $1, %%xmm8, %%xmm9\n"
+        "movapd %%xmm9, %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "movapd %%xmm0, %%xmm9\n"
+        "addpd %%xmm1, %%xmm8\n"
+        "subpd %%xmm1, %%xmm9\n"
+        "movapd %%xmm2, %%xmm10\n"
+        "movapd %%xmm2, %%xmm11\n"
+        "addpd %%xmm3, %%xmm10\n"
+        "subpd %%xmm3, %%xmm11\n"
+        "movapd %%xmm4, %%xmm12\n"
+        "movapd %%xmm4, %%xmm13\n"
+        "addpd %%xmm5, %%xmm12\n"
+        "subpd %%xmm5, %%xmm13\n"
+        "movapd %%xmm6, %%xmm14\n"
+        "movapd %%xmm6, %%xmm15\n"
+        "addpd %%xmm7, %%xmm14\n"
+        "subpd %%xmm7, %%xmm15\n"
+        "movapd %%xmm8, %%xmm0\n"
+        "movapd %%xmm8, %%xmm2\n"
+        "addpd %%xmm10, %%xmm0\n"
+        "subpd %%xmm10, %%xmm2\n"
+        "movapd %%xmm9, %%xmm1\n"
+        "movapd %%xmm9, %%xmm3\n"
+        "addpd %%xmm11, %%xmm1\n"
+        "subpd %%xmm11, %%xmm3\n"
+        "movapd %%xmm12, %%xmm4\n"
+        "movapd %%xmm12, %%xmm6\n"
+        "addpd %%xmm14, %%xmm4\n"
+        "subpd %%xmm14, %%xmm6\n"
+        "movapd %%xmm13, %%xmm5\n"
+        "movapd %%xmm13, %%xmm7\n"
+        "addpd %%xmm15, %%xmm5\n"
+        "subpd %%xmm15, %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "movapd %%xmm0, %%xmm12\n"
+        "addpd %%xmm4, %%xmm8\n"
+        "subpd %%xmm4, %%xmm12\n"
+        "movapd %%xmm1, %%xmm9\n"
+        "movapd %%xmm1, %%xmm13\n"
+        "addpd %%xmm5, %%xmm9\n"
+        "subpd %%xmm5, %%xmm13\n"
+        "movapd %%xmm2, %%xmm10\n"
+        "movapd %%xmm2, %%xmm14\n"
+        "addpd %%xmm6, %%xmm10\n"
+        "subpd %%xmm6, %%xmm14\n"
+        "movapd %%xmm3, %%xmm11\n"
+        "movapd %%xmm3, %%xmm15\n"
+        "addpd %%xmm7, %%xmm11\n"
+        "subpd %%xmm7, %%xmm15\n"
+        "movupd %%xmm8, (%0)\n"
+        "movupd %%xmm9, (%1)\n"
+        "movupd %%xmm10, (%2)\n"
+        "movupd %%xmm11, (%3)\n"
+        "movupd %%xmm12, (%4)\n"
+        "movupd %%xmm13, (%5)\n"
+        "movupd %%xmm14, (%6)\n"
+        "movupd %%xmm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6), "r"(buf + j + k + 8), "r"(buf + j + k + 10), "r"(buf + j + k + 12), "r"(buf + j + k + 14) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 8192; j += 128) {
+    for (int k = 0; k < 16; k += 2) {
+      __asm__ volatile (
+        "movupd (%0), %%xmm0\n"
+        "movupd (%1), %%xmm1\n"
+        "movupd (%2), %%xmm2\n"
+        "movupd (%3), %%xmm3\n"
+        "movupd (%4), %%xmm4\n"
+        "movupd (%5), %%xmm5\n"
+        "movupd (%6), %%xmm6\n"
+        "movupd (%7), %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "movapd %%xmm0, %%xmm9\n"
+        "addpd %%xmm1, %%xmm8\n"
+        "subpd %%xmm1, %%xmm9\n"
+        "movapd %%xmm2, %%xmm10\n"
+        "movapd %%xmm2, %%xmm11\n"
+        "addpd %%xmm3, %%xmm10\n"
+        "subpd %%xmm3, %%xmm11\n"
+        "movapd %%xmm4, %%xmm12\n"
+        "movapd %%xmm4, %%xmm13\n"
+        "addpd %%xmm5, %%xmm12\n"
+        "subpd %%xmm5, %%xmm13\n"
+        "movapd %%xmm6, %%xmm14\n"
+        "movapd %%xmm6, %%xmm15\n"
+        "addpd %%xmm7, %%xmm14\n"
+        "subpd %%xmm7, %%xmm15\n"
+        "movapd %%xmm8, %%xmm0\n"
+        "movapd %%xmm8, %%xmm2\n"
+        "addpd %%xmm10, %%xmm0\n"
+        "subpd %%xmm10, %%xmm2\n"
+        "movapd %%xmm9, %%xmm1\n"
+        "movapd %%xmm9, %%xmm3\n"
+        "addpd %%xmm11, %%xmm1\n"
+        "subpd %%xmm11, %%xmm3\n"
+        "movapd %%xmm12, %%xmm4\n"
+        "movapd %%xmm12, %%xmm6\n"
+        "addpd %%xmm14, %%xmm4\n"
+        "subpd %%xmm14, %%xmm6\n"
+        "movapd %%xmm13, %%xmm5\n"
+        "movapd %%xmm13, %%xmm7\n"
+        "addpd %%xmm15, %%xmm5\n"
+        "subpd %%xmm15, %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "movapd %%xmm0, %%xmm12\n"
+        "addpd %%xmm4, %%xmm8\n"
+        "subpd %%xmm4, %%xmm12\n"
+        "movapd %%xmm1, %%xmm9\n"
+        "movapd %%xmm1, %%xmm13\n"
+        "addpd %%xmm5, %%xmm9\n"
+        "subpd %%xmm5, %%xmm13\n"
+        "movapd %%xmm2, %%xmm10\n"
+        "movapd %%xmm2, %%xmm14\n"
+        "addpd %%xmm6, %%xmm10\n"
+        "subpd %%xmm6, %%xmm14\n"
+        "movapd %%xmm3, %%xmm11\n"
+        "movapd %%xmm3, %%xmm15\n"
+        "addpd %%xmm7, %%xmm11\n"
+        "subpd %%xmm7, %%xmm15\n"
+        "movupd %%xmm8, (%0)\n"
+        "movupd %%xmm9, (%1)\n"
+        "movupd %%xmm10, (%2)\n"
+        "movupd %%xmm11, (%3)\n"
+        "movupd %%xmm12, (%4)\n"
+        "movupd %%xmm13, (%5)\n"
+        "movupd %%xmm14, (%6)\n"
+        "movupd %%xmm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 16), "r"(buf + j + k + 32), "r"(buf + j + k + 48), "r"(buf + j + k + 64), "r"(buf + j + k + 80), "r"(buf + j + k + 96), "r"(buf + j + k + 112) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 8192; j += 1024) {
+    for (int k = 0; k < 128; k += 2) {
+      __asm__ volatile (
+        "movupd (%0), %%xmm0\n"
+        "movupd (%1), %%xmm1\n"
+        "movupd (%2), %%xmm2\n"
+        "movupd (%3), %%xmm3\n"
+        "movupd (%4), %%xmm4\n"
+        "movupd (%5), %%xmm5\n"
+        "movupd (%6), %%xmm6\n"
+        "movupd (%7), %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "movapd %%xmm0, %%xmm9\n"
+        "addpd %%xmm1, %%xmm8\n"
+        "subpd %%xmm1, %%xmm9\n"
+        "movapd %%xmm2, %%xmm10\n"
+        "movapd %%xmm2, %%xmm11\n"
+        "addpd %%xmm3, %%xmm10\n"
+        "subpd %%xmm3, %%xmm11\n"
+        "movapd %%xmm4, %%xmm12\n"
+        "movapd %%xmm4, %%xmm13\n"
+        "addpd %%xmm5, %%xmm12\n"
+        "subpd %%xmm5, %%xmm13\n"
+        "movapd %%xmm6, %%xmm14\n"
+        "movapd %%xmm6, %%xmm15\n"
+        "addpd %%xmm7, %%xmm14\n"
+        "subpd %%xmm7, %%xmm15\n"
+        "movapd %%xmm8, %%xmm0\n"
+        "movapd %%xmm8, %%xmm2\n"
+        "addpd %%xmm10, %%xmm0\n"
+        "subpd %%xmm10, %%xmm2\n"
+        "movapd %%xmm9, %%xmm1\n"
+        "movapd %%xmm9, %%xmm3\n"
+        "addpd %%xmm11, %%xmm1\n"
+        "subpd %%xmm11, %%xmm3\n"
+        "movapd %%xmm12, %%xmm4\n"
+        "movapd %%xmm12, %%xmm6\n"
+        "addpd %%xmm14, %%xmm4\n"
+        "subpd %%xmm14, %%xmm6\n"
+        "movapd %%xmm13, %%xmm5\n"
+        "movapd %%xmm13, %%xmm7\n"
+        "addpd %%xmm15, %%xmm5\n"
+        "subpd %%xmm15, %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "movapd %%xmm0, %%xmm12\n"
+        "addpd %%xmm4, %%xmm8\n"
+        "subpd %%xmm4, %%xmm12\n"
+        "movapd %%xmm1, %%xmm9\n"
+        "movapd %%xmm1, %%xmm13\n"
+        "addpd %%xmm5, %%xmm9\n"
+        "subpd %%xmm5, %%xmm13\n"
+        "movapd %%xmm2, %%xmm10\n"
+        "movapd %%xmm2, %%xmm14\n"
+        "addpd %%xmm6, %%xmm10\n"
+        "subpd %%xmm6, %%xmm14\n"
+        "movapd %%xmm3, %%xmm11\n"
+        "movapd %%xmm3, %%xmm15\n"
+        "addpd %%xmm7, %%xmm11\n"
+        "subpd %%xmm7, %%xmm15\n"
+        "movupd %%xmm8, (%0)\n"
+        "movupd %%xmm9, (%1)\n"
+        "movupd %%xmm10, (%2)\n"
+        "movupd %%xmm11, (%3)\n"
+        "movupd %%xmm12, (%4)\n"
+        "movupd %%xmm13, (%5)\n"
+        "movupd %%xmm14, (%6)\n"
+        "movupd %%xmm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 128), "r"(buf + j + k + 256), "r"(buf + j + k + 384), "r"(buf + j + k + 512), "r"(buf + j + k + 640), "r"(buf + j + k + 768), "r"(buf + j + k + 896) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+  for (int j = 0; j < 8192; j += 8192) {
+    for (int k = 0; k < 1024; k += 2) {
+      __asm__ volatile (
+        "movupd (%0), %%xmm0\n"
+        "movupd (%1), %%xmm1\n"
+        "movupd (%2), %%xmm2\n"
+        "movupd (%3), %%xmm3\n"
+        "movupd (%4), %%xmm4\n"
+        "movupd (%5), %%xmm5\n"
+        "movupd (%6), %%xmm6\n"
+        "movupd (%7), %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "movapd %%xmm0, %%xmm9\n"
+        "addpd %%xmm1, %%xmm8\n"
+        "subpd %%xmm1, %%xmm9\n"
+        "movapd %%xmm2, %%xmm10\n"
+        "movapd %%xmm2, %%xmm11\n"
+        "addpd %%xmm3, %%xmm10\n"
+        "subpd %%xmm3, %%xmm11\n"
+        "movapd %%xmm4, %%xmm12\n"
+        "movapd %%xmm4, %%xmm13\n"
+        "addpd %%xmm5, %%xmm12\n"
+        "subpd %%xmm5, %%xmm13\n"
+        "movapd %%xmm6, %%xmm14\n"
+        "movapd %%xmm6, %%xmm15\n"
+        "addpd %%xmm7, %%xmm14\n"
+        "subpd %%xmm7, %%xmm15\n"
+        "movapd %%xmm8, %%xmm0\n"
+        "movapd %%xmm8, %%xmm2\n"
+        "addpd %%xmm10, %%xmm0\n"
+        "subpd %%xmm10, %%xmm2\n"
+        "movapd %%xmm9, %%xmm1\n"
+        "movapd %%xmm9, %%xmm3\n"
+        "addpd %%xmm11, %%xmm1\n"
+        "subpd %%xmm11, %%xmm3\n"
+        "movapd %%xmm12, %%xmm4\n"
+        "movapd %%xmm12, %%xmm6\n"
+        "addpd %%xmm14, %%xmm4\n"
+        "subpd %%xmm14, %%xmm6\n"
+        "movapd %%xmm13, %%xmm5\n"
+        "movapd %%xmm13, %%xmm7\n"
+        "addpd %%xmm15, %%xmm5\n"
+        "subpd %%xmm15, %%xmm7\n"
+        "movapd %%xmm0, %%xmm8\n"
+        "movapd %%xmm0, %%xmm12\n"
+        "addpd %%xmm4, %%xmm8\n"
+        "subpd %%xmm4, %%xmm12\n"
+        "movapd %%xmm1, %%xmm9\n"
+        "movapd %%xmm1, %%xmm13\n"
+        "addpd %%xmm5, %%xmm9\n"
+        "subpd %%xmm5, %%xmm13\n"
+        "movapd %%xmm2, %%xmm10\n"
+        "movapd %%xmm2, %%xmm14\n"
+        "addpd %%xmm6, %%xmm10\n"
+        "subpd %%xmm6, %%xmm14\n"
+        "movapd %%xmm3, %%xmm11\n"
+        "movapd %%xmm3, %%xmm15\n"
+        "addpd %%xmm7, %%xmm11\n"
+        "subpd %%xmm7, %%xmm15\n"
+        "movupd %%xmm8, (%0)\n"
+        "movupd %%xmm9, (%1)\n"
+        "movupd %%xmm10, (%2)\n"
+        "movupd %%xmm11, (%3)\n"
+        "movupd %%xmm12, (%4)\n"
+        "movupd %%xmm13, (%5)\n"
+        "movupd %%xmm14, (%6)\n"
+        "movupd %%xmm15, (%7)\n"
+        :: "r"(buf + j + k + 0), "r"(buf + j + k + 1024), "r"(buf + j + k + 2048), "r"(buf + j + k + 3072), "r"(buf + j + k + 4096), "r"(buf + j + k + 5120), "r"(buf + j + k + 6144), "r"(buf + j + k + 7168) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+      );
+    }
+  }
+}
+void helper_double_14_recursive(double *buf, int depth);
+void helper_double_14_recursive(double *buf, int depth) {
+  if (depth == 9) {
+    for (int j = 0; j < 512; j += 16) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm2, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm2, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm2\n"
+          "movapd %%xmm3, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm3, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "movapd %%xmm4, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm4, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm4\n"
+          "movapd %%xmm5, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm5, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm5\n"
+          "movapd %%xmm6, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm6, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm6\n"
+          "movapd %%xmm7, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm7, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6), "r"(buf + j + k + 8), "r"(buf + j + k + 10), "r"(buf + j + k + 12), "r"(buf + j + k + 14) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 512; j += 128) {
+      for (int k = 0; k < 16; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16), "r"(buf + j + k + 32), "r"(buf + j + k + 48), "r"(buf + j + k + 64), "r"(buf + j + k + 80), "r"(buf + j + k + 96), "r"(buf + j + k + 112) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 512; j += 512) {
+      for (int k = 0; k < 128; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 128), "r"(buf + j + k + 256), "r"(buf + j + k + 384) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 12) {
+    helper_double_14_recursive(buf + 0, 9);
+    helper_double_14_recursive(buf + 512, 9);
+    helper_double_14_recursive(buf + 1024, 9);
+    helper_double_14_recursive(buf + 1536, 9);
+    helper_double_14_recursive(buf + 2048, 9);
+    helper_double_14_recursive(buf + 2560, 9);
+    helper_double_14_recursive(buf + 3072, 9);
+    helper_double_14_recursive(buf + 3584, 9);
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 512; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_double_14_recursive(buf + 0, 12);
+    helper_double_14_recursive(buf + 4096, 12);
+    helper_double_14_recursive(buf + 8192, 12);
+    helper_double_14_recursive(buf + 12288, 12);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 4096; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_14(double *buf);
+void helper_double_14(double *buf) {
+  helper_double_14_recursive(buf, 14);
+}
+void helper_double_15_recursive(double *buf, int depth);
+void helper_double_15_recursive(double *buf, int depth) {
+  if (depth == 10) {
+    for (int j = 0; j < 1024; j += 16) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm2, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm2, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm2\n"
+          "movapd %%xmm3, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm3, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "movapd %%xmm4, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm4, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm4\n"
+          "movapd %%xmm5, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm5, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm5\n"
+          "movapd %%xmm6, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm6, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm6\n"
+          "movapd %%xmm7, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm7, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6), "r"(buf + j + k + 8), "r"(buf + j + k + 10), "r"(buf + j + k + 12), "r"(buf + j + k + 14) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 1024; j += 128) {
+      for (int k = 0; k < 16; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16), "r"(buf + j + k + 32), "r"(buf + j + k + 48), "r"(buf + j + k + 64), "r"(buf + j + k + 80), "r"(buf + j + k + 96), "r"(buf + j + k + 112) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 1024; j += 1024) {
+      for (int k = 0; k < 128; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 128), "r"(buf + j + k + 256), "r"(buf + j + k + 384), "r"(buf + j + k + 512), "r"(buf + j + k + 640), "r"(buf + j + k + 768), "r"(buf + j + k + 896) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 13) {
+    helper_double_15_recursive(buf + 0, 10);
+    helper_double_15_recursive(buf + 1024, 10);
+    helper_double_15_recursive(buf + 2048, 10);
+    helper_double_15_recursive(buf + 3072, 10);
+    helper_double_15_recursive(buf + 4096, 10);
+    helper_double_15_recursive(buf + 5120, 10);
+    helper_double_15_recursive(buf + 6144, 10);
+    helper_double_15_recursive(buf + 7168, 10);
+    for (int j = 0; j < 8192; j += 8192) {
+      for (int k = 0; k < 1024; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1024), "r"(buf + j + k + 2048), "r"(buf + j + k + 3072), "r"(buf + j + k + 4096), "r"(buf + j + k + 5120), "r"(buf + j + k + 6144), "r"(buf + j + k + 7168) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_double_15_recursive(buf + 0, 13);
+    helper_double_15_recursive(buf + 8192, 13);
+    helper_double_15_recursive(buf + 16384, 13);
+    helper_double_15_recursive(buf + 24576, 13);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 8192; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8192), "r"(buf + j + k + 16384), "r"(buf + j + k + 24576) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_15(double *buf);
+void helper_double_15(double *buf) {
+  helper_double_15_recursive(buf, 15);
+}
+void helper_double_16_recursive(double *buf, int depth);
+void helper_double_16_recursive(double *buf, int depth) {
+  if (depth == 2) {
+    for (int j = 0; j < 4; j += 4) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 5) {
+    helper_double_16_recursive(buf + 0, 2);
+    helper_double_16_recursive(buf + 4, 2);
+    helper_double_16_recursive(buf + 8, 2);
+    helper_double_16_recursive(buf + 12, 2);
+    helper_double_16_recursive(buf + 16, 2);
+    helper_double_16_recursive(buf + 20, 2);
+    helper_double_16_recursive(buf + 24, 2);
+    helper_double_16_recursive(buf + 28, 2);
+    for (int j = 0; j < 32; j += 32) {
+      for (int k = 0; k < 4; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 8) {
+    helper_double_16_recursive(buf + 0, 5);
+    helper_double_16_recursive(buf + 32, 5);
+    helper_double_16_recursive(buf + 64, 5);
+    helper_double_16_recursive(buf + 96, 5);
+    helper_double_16_recursive(buf + 128, 5);
+    helper_double_16_recursive(buf + 160, 5);
+    helper_double_16_recursive(buf + 192, 5);
+    helper_double_16_recursive(buf + 224, 5);
+    for (int j = 0; j < 256; j += 256) {
+      for (int k = 0; k < 32; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 11) {
+    helper_double_16_recursive(buf + 0, 8);
+    helper_double_16_recursive(buf + 256, 8);
+    helper_double_16_recursive(buf + 512, 8);
+    helper_double_16_recursive(buf + 768, 8);
+    helper_double_16_recursive(buf + 1024, 8);
+    helper_double_16_recursive(buf + 1280, 8);
+    helper_double_16_recursive(buf + 1536, 8);
+    helper_double_16_recursive(buf + 1792, 8);
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_double_16_recursive(buf + 0, 11);
+    helper_double_16_recursive(buf + 2048, 11);
+    helper_double_16_recursive(buf + 4096, 11);
+    helper_double_16_recursive(buf + 6144, 11);
+    helper_double_16_recursive(buf + 8192, 11);
+    helper_double_16_recursive(buf + 10240, 11);
+    helper_double_16_recursive(buf + 12288, 11);
+    helper_double_16_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 16) {
+    helper_double_16_recursive(buf + 0, 14);
+    helper_double_16_recursive(buf + 16384, 14);
+    helper_double_16_recursive(buf + 32768, 14);
+    helper_double_16_recursive(buf + 49152, 14);
+    for (int j = 0; j < 65536; j += 65536) {
+      for (int k = 0; k < 16384; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_16(double *buf);
+void helper_double_16(double *buf) {
+  helper_double_16_recursive(buf, 16);
+}
+void helper_double_17_recursive(double *buf, int depth);
+void helper_double_17_recursive(double *buf, int depth) {
+  if (depth == 12) {
+    for (int j = 0; j < 4096; j += 16) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm2, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm2, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm2\n"
+          "movapd %%xmm3, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm3, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "movapd %%xmm4, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm4, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm4\n"
+          "movapd %%xmm5, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm5, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm5\n"
+          "movapd %%xmm6, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm6, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm6\n"
+          "movapd %%xmm7, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm7, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6), "r"(buf + j + k + 8), "r"(buf + j + k + 10), "r"(buf + j + k + 12), "r"(buf + j + k + 14) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 128) {
+      for (int k = 0; k < 16; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16), "r"(buf + j + k + 32), "r"(buf + j + k + 48), "r"(buf + j + k + 64), "r"(buf + j + k + 80), "r"(buf + j + k + 96), "r"(buf + j + k + 112) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 1024) {
+      for (int k = 0; k < 128; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 128), "r"(buf + j + k + 256), "r"(buf + j + k + 384), "r"(buf + j + k + 512), "r"(buf + j + k + 640), "r"(buf + j + k + 768), "r"(buf + j + k + 896) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 1024; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1024), "r"(buf + j + k + 2048), "r"(buf + j + k + 3072) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_double_17_recursive(buf + 0, 12);
+    helper_double_17_recursive(buf + 4096, 12);
+    helper_double_17_recursive(buf + 8192, 12);
+    helper_double_17_recursive(buf + 12288, 12);
+    helper_double_17_recursive(buf + 16384, 12);
+    helper_double_17_recursive(buf + 20480, 12);
+    helper_double_17_recursive(buf + 24576, 12);
+    helper_double_17_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_double_17_recursive(buf + 0, 15);
+    helper_double_17_recursive(buf + 32768, 15);
+    helper_double_17_recursive(buf + 65536, 15);
+    helper_double_17_recursive(buf + 98304, 15);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 32768; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_17(double *buf);
+void helper_double_17(double *buf) {
+  helper_double_17_recursive(buf, 17);
+}
+void helper_double_18_recursive(double *buf, int depth);
+void helper_double_18_recursive(double *buf, int depth) {
+  if (depth == 12) {
+    for (int j = 0; j < 4096; j += 16) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm2, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm2, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm2\n"
+          "movapd %%xmm3, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm3, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "movapd %%xmm4, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm4, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm4\n"
+          "movapd %%xmm5, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm5, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm5\n"
+          "movapd %%xmm6, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm6, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm6\n"
+          "movapd %%xmm7, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm7, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6), "r"(buf + j + k + 8), "r"(buf + j + k + 10), "r"(buf + j + k + 12), "r"(buf + j + k + 14) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 128) {
+      for (int k = 0; k < 16; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16), "r"(buf + j + k + 32), "r"(buf + j + k + 48), "r"(buf + j + k + 64), "r"(buf + j + k + 80), "r"(buf + j + k + 96), "r"(buf + j + k + 112) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 1024) {
+      for (int k = 0; k < 128; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 128), "r"(buf + j + k + 256), "r"(buf + j + k + 384), "r"(buf + j + k + 512), "r"(buf + j + k + 640), "r"(buf + j + k + 768), "r"(buf + j + k + 896) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 1024; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1024), "r"(buf + j + k + 2048), "r"(buf + j + k + 3072) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_double_18_recursive(buf + 0, 12);
+    helper_double_18_recursive(buf + 4096, 12);
+    helper_double_18_recursive(buf + 8192, 12);
+    helper_double_18_recursive(buf + 12288, 12);
+    helper_double_18_recursive(buf + 16384, 12);
+    helper_double_18_recursive(buf + 20480, 12);
+    helper_double_18_recursive(buf + 24576, 12);
+    helper_double_18_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_double_18_recursive(buf + 0, 15);
+    helper_double_18_recursive(buf + 32768, 15);
+    helper_double_18_recursive(buf + 65536, 15);
+    helper_double_18_recursive(buf + 98304, 15);
+    helper_double_18_recursive(buf + 131072, 15);
+    helper_double_18_recursive(buf + 163840, 15);
+    helper_double_18_recursive(buf + 196608, 15);
+    helper_double_18_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_18(double *buf);
+void helper_double_18(double *buf) {
+  helper_double_18_recursive(buf, 18);
+}
+void helper_double_19_recursive(double *buf, int depth);
+void helper_double_19_recursive(double *buf, int depth) {
+  if (depth == 2) {
+    for (int j = 0; j < 4; j += 4) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 5) {
+    helper_double_19_recursive(buf + 0, 2);
+    helper_double_19_recursive(buf + 4, 2);
+    helper_double_19_recursive(buf + 8, 2);
+    helper_double_19_recursive(buf + 12, 2);
+    helper_double_19_recursive(buf + 16, 2);
+    helper_double_19_recursive(buf + 20, 2);
+    helper_double_19_recursive(buf + 24, 2);
+    helper_double_19_recursive(buf + 28, 2);
+    for (int j = 0; j < 32; j += 32) {
+      for (int k = 0; k < 4; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 8) {
+    helper_double_19_recursive(buf + 0, 5);
+    helper_double_19_recursive(buf + 32, 5);
+    helper_double_19_recursive(buf + 64, 5);
+    helper_double_19_recursive(buf + 96, 5);
+    helper_double_19_recursive(buf + 128, 5);
+    helper_double_19_recursive(buf + 160, 5);
+    helper_double_19_recursive(buf + 192, 5);
+    helper_double_19_recursive(buf + 224, 5);
+    for (int j = 0; j < 256; j += 256) {
+      for (int k = 0; k < 32; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 11) {
+    helper_double_19_recursive(buf + 0, 8);
+    helper_double_19_recursive(buf + 256, 8);
+    helper_double_19_recursive(buf + 512, 8);
+    helper_double_19_recursive(buf + 768, 8);
+    helper_double_19_recursive(buf + 1024, 8);
+    helper_double_19_recursive(buf + 1280, 8);
+    helper_double_19_recursive(buf + 1536, 8);
+    helper_double_19_recursive(buf + 1792, 8);
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_double_19_recursive(buf + 0, 11);
+    helper_double_19_recursive(buf + 2048, 11);
+    helper_double_19_recursive(buf + 4096, 11);
+    helper_double_19_recursive(buf + 6144, 11);
+    helper_double_19_recursive(buf + 8192, 11);
+    helper_double_19_recursive(buf + 10240, 11);
+    helper_double_19_recursive(buf + 12288, 11);
+    helper_double_19_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_double_19_recursive(buf + 0, 14);
+    helper_double_19_recursive(buf + 16384, 14);
+    helper_double_19_recursive(buf + 32768, 14);
+    helper_double_19_recursive(buf + 49152, 14);
+    helper_double_19_recursive(buf + 65536, 14);
+    helper_double_19_recursive(buf + 81920, 14);
+    helper_double_19_recursive(buf + 98304, 14);
+    helper_double_19_recursive(buf + 114688, 14);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 16384; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152), "r"(buf + j + k + 65536), "r"(buf + j + k + 81920), "r"(buf + j + k + 98304), "r"(buf + j + k + 114688) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 19) {
+    helper_double_19_recursive(buf + 0, 17);
+    helper_double_19_recursive(buf + 131072, 17);
+    helper_double_19_recursive(buf + 262144, 17);
+    helper_double_19_recursive(buf + 393216, 17);
+    for (int j = 0; j < 524288; j += 524288) {
+      for (int k = 0; k < 131072; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 131072), "r"(buf + j + k + 262144), "r"(buf + j + k + 393216) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_19(double *buf);
+void helper_double_19(double *buf) {
+  helper_double_19_recursive(buf, 19);
+}
+void helper_double_20_recursive(double *buf, int depth);
+void helper_double_20_recursive(double *buf, int depth) {
+  if (depth == 12) {
+    for (int j = 0; j < 4096; j += 16) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm2, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm2, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm2\n"
+          "movapd %%xmm3, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm3, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "movapd %%xmm4, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm4, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm4\n"
+          "movapd %%xmm5, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm5, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm5\n"
+          "movapd %%xmm6, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm6, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm6\n"
+          "movapd %%xmm7, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm7, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6), "r"(buf + j + k + 8), "r"(buf + j + k + 10), "r"(buf + j + k + 12), "r"(buf + j + k + 14) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 128) {
+      for (int k = 0; k < 16; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16), "r"(buf + j + k + 32), "r"(buf + j + k + 48), "r"(buf + j + k + 64), "r"(buf + j + k + 80), "r"(buf + j + k + 96), "r"(buf + j + k + 112) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 1024) {
+      for (int k = 0; k < 128; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 128), "r"(buf + j + k + 256), "r"(buf + j + k + 384), "r"(buf + j + k + 512), "r"(buf + j + k + 640), "r"(buf + j + k + 768), "r"(buf + j + k + 896) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 1024; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1024), "r"(buf + j + k + 2048), "r"(buf + j + k + 3072) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_double_20_recursive(buf + 0, 12);
+    helper_double_20_recursive(buf + 4096, 12);
+    helper_double_20_recursive(buf + 8192, 12);
+    helper_double_20_recursive(buf + 12288, 12);
+    helper_double_20_recursive(buf + 16384, 12);
+    helper_double_20_recursive(buf + 20480, 12);
+    helper_double_20_recursive(buf + 24576, 12);
+    helper_double_20_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_double_20_recursive(buf + 0, 15);
+    helper_double_20_recursive(buf + 32768, 15);
+    helper_double_20_recursive(buf + 65536, 15);
+    helper_double_20_recursive(buf + 98304, 15);
+    helper_double_20_recursive(buf + 131072, 15);
+    helper_double_20_recursive(buf + 163840, 15);
+    helper_double_20_recursive(buf + 196608, 15);
+    helper_double_20_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 20) {
+    helper_double_20_recursive(buf + 0, 18);
+    helper_double_20_recursive(buf + 262144, 18);
+    helper_double_20_recursive(buf + 524288, 18);
+    helper_double_20_recursive(buf + 786432, 18);
+    for (int j = 0; j < 1048576; j += 1048576) {
+      for (int k = 0; k < 262144; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_20(double *buf);
+void helper_double_20(double *buf) {
+  helper_double_20_recursive(buf, 20);
+}
+void helper_double_21_recursive(double *buf, int depth);
+void helper_double_21_recursive(double *buf, int depth) {
+  if (depth == 13) {
+    for (int j = 0; j < 8192; j += 16) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm2, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm2, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm2\n"
+          "movapd %%xmm3, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm3, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "movapd %%xmm4, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm4, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm4\n"
+          "movapd %%xmm5, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm5, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm5\n"
+          "movapd %%xmm6, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm6, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm6\n"
+          "movapd %%xmm7, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm7, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6), "r"(buf + j + k + 8), "r"(buf + j + k + 10), "r"(buf + j + k + 12), "r"(buf + j + k + 14) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 128) {
+      for (int k = 0; k < 16; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16), "r"(buf + j + k + 32), "r"(buf + j + k + 48), "r"(buf + j + k + 64), "r"(buf + j + k + 80), "r"(buf + j + k + 96), "r"(buf + j + k + 112) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 1024) {
+      for (int k = 0; k < 128; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 128), "r"(buf + j + k + 256), "r"(buf + j + k + 384), "r"(buf + j + k + 512), "r"(buf + j + k + 640), "r"(buf + j + k + 768), "r"(buf + j + k + 896) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 8192) {
+      for (int k = 0; k < 1024; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1024), "r"(buf + j + k + 2048), "r"(buf + j + k + 3072), "r"(buf + j + k + 4096), "r"(buf + j + k + 5120), "r"(buf + j + k + 6144), "r"(buf + j + k + 7168) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 16) {
+    helper_double_21_recursive(buf + 0, 13);
+    helper_double_21_recursive(buf + 8192, 13);
+    helper_double_21_recursive(buf + 16384, 13);
+    helper_double_21_recursive(buf + 24576, 13);
+    helper_double_21_recursive(buf + 32768, 13);
+    helper_double_21_recursive(buf + 40960, 13);
+    helper_double_21_recursive(buf + 49152, 13);
+    helper_double_21_recursive(buf + 57344, 13);
+    for (int j = 0; j < 65536; j += 65536) {
+      for (int k = 0; k < 8192; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8192), "r"(buf + j + k + 16384), "r"(buf + j + k + 24576), "r"(buf + j + k + 32768), "r"(buf + j + k + 40960), "r"(buf + j + k + 49152), "r"(buf + j + k + 57344) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 19) {
+    helper_double_21_recursive(buf + 0, 16);
+    helper_double_21_recursive(buf + 65536, 16);
+    helper_double_21_recursive(buf + 131072, 16);
+    helper_double_21_recursive(buf + 196608, 16);
+    helper_double_21_recursive(buf + 262144, 16);
+    helper_double_21_recursive(buf + 327680, 16);
+    helper_double_21_recursive(buf + 393216, 16);
+    helper_double_21_recursive(buf + 458752, 16);
+    for (int j = 0; j < 524288; j += 524288) {
+      for (int k = 0; k < 65536; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 65536), "r"(buf + j + k + 131072), "r"(buf + j + k + 196608), "r"(buf + j + k + 262144), "r"(buf + j + k + 327680), "r"(buf + j + k + 393216), "r"(buf + j + k + 458752) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_double_21_recursive(buf + 0, 19);
+    helper_double_21_recursive(buf + 524288, 19);
+    helper_double_21_recursive(buf + 1048576, 19);
+    helper_double_21_recursive(buf + 1572864, 19);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 524288; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 524288), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1572864) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_21(double *buf);
+void helper_double_21(double *buf) {
+  helper_double_21_recursive(buf, 21);
+}
+void helper_double_22_recursive(double *buf, int depth);
+void helper_double_22_recursive(double *buf, int depth) {
+  if (depth == 2) {
+    for (int j = 0; j < 4; j += 4) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 5) {
+    helper_double_22_recursive(buf + 0, 2);
+    helper_double_22_recursive(buf + 4, 2);
+    helper_double_22_recursive(buf + 8, 2);
+    helper_double_22_recursive(buf + 12, 2);
+    helper_double_22_recursive(buf + 16, 2);
+    helper_double_22_recursive(buf + 20, 2);
+    helper_double_22_recursive(buf + 24, 2);
+    helper_double_22_recursive(buf + 28, 2);
+    for (int j = 0; j < 32; j += 32) {
+      for (int k = 0; k < 4; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 8) {
+    helper_double_22_recursive(buf + 0, 5);
+    helper_double_22_recursive(buf + 32, 5);
+    helper_double_22_recursive(buf + 64, 5);
+    helper_double_22_recursive(buf + 96, 5);
+    helper_double_22_recursive(buf + 128, 5);
+    helper_double_22_recursive(buf + 160, 5);
+    helper_double_22_recursive(buf + 192, 5);
+    helper_double_22_recursive(buf + 224, 5);
+    for (int j = 0; j < 256; j += 256) {
+      for (int k = 0; k < 32; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 11) {
+    helper_double_22_recursive(buf + 0, 8);
+    helper_double_22_recursive(buf + 256, 8);
+    helper_double_22_recursive(buf + 512, 8);
+    helper_double_22_recursive(buf + 768, 8);
+    helper_double_22_recursive(buf + 1024, 8);
+    helper_double_22_recursive(buf + 1280, 8);
+    helper_double_22_recursive(buf + 1536, 8);
+    helper_double_22_recursive(buf + 1792, 8);
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_double_22_recursive(buf + 0, 11);
+    helper_double_22_recursive(buf + 2048, 11);
+    helper_double_22_recursive(buf + 4096, 11);
+    helper_double_22_recursive(buf + 6144, 11);
+    helper_double_22_recursive(buf + 8192, 11);
+    helper_double_22_recursive(buf + 10240, 11);
+    helper_double_22_recursive(buf + 12288, 11);
+    helper_double_22_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_double_22_recursive(buf + 0, 14);
+    helper_double_22_recursive(buf + 16384, 14);
+    helper_double_22_recursive(buf + 32768, 14);
+    helper_double_22_recursive(buf + 49152, 14);
+    helper_double_22_recursive(buf + 65536, 14);
+    helper_double_22_recursive(buf + 81920, 14);
+    helper_double_22_recursive(buf + 98304, 14);
+    helper_double_22_recursive(buf + 114688, 14);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 16384; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152), "r"(buf + j + k + 65536), "r"(buf + j + k + 81920), "r"(buf + j + k + 98304), "r"(buf + j + k + 114688) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 20) {
+    helper_double_22_recursive(buf + 0, 17);
+    helper_double_22_recursive(buf + 131072, 17);
+    helper_double_22_recursive(buf + 262144, 17);
+    helper_double_22_recursive(buf + 393216, 17);
+    helper_double_22_recursive(buf + 524288, 17);
+    helper_double_22_recursive(buf + 655360, 17);
+    helper_double_22_recursive(buf + 786432, 17);
+    helper_double_22_recursive(buf + 917504, 17);
+    for (int j = 0; j < 1048576; j += 1048576) {
+      for (int k = 0; k < 131072; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 131072), "r"(buf + j + k + 262144), "r"(buf + j + k + 393216), "r"(buf + j + k + 524288), "r"(buf + j + k + 655360), "r"(buf + j + k + 786432), "r"(buf + j + k + 917504) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 22) {
+    helper_double_22_recursive(buf + 0, 20);
+    helper_double_22_recursive(buf + 1048576, 20);
+    helper_double_22_recursive(buf + 2097152, 20);
+    helper_double_22_recursive(buf + 3145728, 20);
+    for (int j = 0; j < 4194304; j += 4194304) {
+      for (int k = 0; k < 1048576; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1048576), "r"(buf + j + k + 2097152), "r"(buf + j + k + 3145728) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_22(double *buf);
+void helper_double_22(double *buf) {
+  helper_double_22_recursive(buf, 22);
+}
+void helper_double_23_recursive(double *buf, int depth);
+void helper_double_23_recursive(double *buf, int depth) {
+  if (depth == 2) {
+    for (int j = 0; j < 4; j += 4) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 5) {
+    helper_double_23_recursive(buf + 0, 2);
+    helper_double_23_recursive(buf + 4, 2);
+    helper_double_23_recursive(buf + 8, 2);
+    helper_double_23_recursive(buf + 12, 2);
+    helper_double_23_recursive(buf + 16, 2);
+    helper_double_23_recursive(buf + 20, 2);
+    helper_double_23_recursive(buf + 24, 2);
+    helper_double_23_recursive(buf + 28, 2);
+    for (int j = 0; j < 32; j += 32) {
+      for (int k = 0; k < 4; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4), "r"(buf + j + k + 8), "r"(buf + j + k + 12), "r"(buf + j + k + 16), "r"(buf + j + k + 20), "r"(buf + j + k + 24), "r"(buf + j + k + 28) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 8) {
+    helper_double_23_recursive(buf + 0, 5);
+    helper_double_23_recursive(buf + 32, 5);
+    helper_double_23_recursive(buf + 64, 5);
+    helper_double_23_recursive(buf + 96, 5);
+    helper_double_23_recursive(buf + 128, 5);
+    helper_double_23_recursive(buf + 160, 5);
+    helper_double_23_recursive(buf + 192, 5);
+    helper_double_23_recursive(buf + 224, 5);
+    for (int j = 0; j < 256; j += 256) {
+      for (int k = 0; k < 32; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 11) {
+    helper_double_23_recursive(buf + 0, 8);
+    helper_double_23_recursive(buf + 256, 8);
+    helper_double_23_recursive(buf + 512, 8);
+    helper_double_23_recursive(buf + 768, 8);
+    helper_double_23_recursive(buf + 1024, 8);
+    helper_double_23_recursive(buf + 1280, 8);
+    helper_double_23_recursive(buf + 1536, 8);
+    helper_double_23_recursive(buf + 1792, 8);
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_double_23_recursive(buf + 0, 11);
+    helper_double_23_recursive(buf + 2048, 11);
+    helper_double_23_recursive(buf + 4096, 11);
+    helper_double_23_recursive(buf + 6144, 11);
+    helper_double_23_recursive(buf + 8192, 11);
+    helper_double_23_recursive(buf + 10240, 11);
+    helper_double_23_recursive(buf + 12288, 11);
+    helper_double_23_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_double_23_recursive(buf + 0, 14);
+    helper_double_23_recursive(buf + 16384, 14);
+    helper_double_23_recursive(buf + 32768, 14);
+    helper_double_23_recursive(buf + 49152, 14);
+    helper_double_23_recursive(buf + 65536, 14);
+    helper_double_23_recursive(buf + 81920, 14);
+    helper_double_23_recursive(buf + 98304, 14);
+    helper_double_23_recursive(buf + 114688, 14);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 16384; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152), "r"(buf + j + k + 65536), "r"(buf + j + k + 81920), "r"(buf + j + k + 98304), "r"(buf + j + k + 114688) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 20) {
+    helper_double_23_recursive(buf + 0, 17);
+    helper_double_23_recursive(buf + 131072, 17);
+    helper_double_23_recursive(buf + 262144, 17);
+    helper_double_23_recursive(buf + 393216, 17);
+    helper_double_23_recursive(buf + 524288, 17);
+    helper_double_23_recursive(buf + 655360, 17);
+    helper_double_23_recursive(buf + 786432, 17);
+    helper_double_23_recursive(buf + 917504, 17);
+    for (int j = 0; j < 1048576; j += 1048576) {
+      for (int k = 0; k < 131072; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 131072), "r"(buf + j + k + 262144), "r"(buf + j + k + 393216), "r"(buf + j + k + 524288), "r"(buf + j + k + 655360), "r"(buf + j + k + 786432), "r"(buf + j + k + 917504) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 23) {
+    helper_double_23_recursive(buf + 0, 20);
+    helper_double_23_recursive(buf + 1048576, 20);
+    helper_double_23_recursive(buf + 2097152, 20);
+    helper_double_23_recursive(buf + 3145728, 20);
+    helper_double_23_recursive(buf + 4194304, 20);
+    helper_double_23_recursive(buf + 5242880, 20);
+    helper_double_23_recursive(buf + 6291456, 20);
+    helper_double_23_recursive(buf + 7340032, 20);
+    for (int j = 0; j < 8388608; j += 8388608) {
+      for (int k = 0; k < 1048576; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1048576), "r"(buf + j + k + 2097152), "r"(buf + j + k + 3145728), "r"(buf + j + k + 4194304), "r"(buf + j + k + 5242880), "r"(buf + j + k + 6291456), "r"(buf + j + k + 7340032) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_23(double *buf);
+void helper_double_23(double *buf) {
+  helper_double_23_recursive(buf, 23);
+}
+void helper_double_24_recursive(double *buf, int depth);
+void helper_double_24_recursive(double *buf, int depth) {
+  if (depth == 13) {
+    for (int j = 0; j < 8192; j += 16) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm2, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm2, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm2\n"
+          "movapd %%xmm3, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm3, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "movapd %%xmm4, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm4, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm4\n"
+          "movapd %%xmm5, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm5, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm5\n"
+          "movapd %%xmm6, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm6, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm6\n"
+          "movapd %%xmm7, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm7, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6), "r"(buf + j + k + 8), "r"(buf + j + k + 10), "r"(buf + j + k + 12), "r"(buf + j + k + 14) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 128) {
+      for (int k = 0; k < 16; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16), "r"(buf + j + k + 32), "r"(buf + j + k + 48), "r"(buf + j + k + 64), "r"(buf + j + k + 80), "r"(buf + j + k + 96), "r"(buf + j + k + 112) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 1024) {
+      for (int k = 0; k < 128; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 128), "r"(buf + j + k + 256), "r"(buf + j + k + 384), "r"(buf + j + k + 512), "r"(buf + j + k + 640), "r"(buf + j + k + 768), "r"(buf + j + k + 896) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 8192; j += 8192) {
+      for (int k = 0; k < 1024; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1024), "r"(buf + j + k + 2048), "r"(buf + j + k + 3072), "r"(buf + j + k + 4096), "r"(buf + j + k + 5120), "r"(buf + j + k + 6144), "r"(buf + j + k + 7168) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 16) {
+    helper_double_24_recursive(buf + 0, 13);
+    helper_double_24_recursive(buf + 8192, 13);
+    helper_double_24_recursive(buf + 16384, 13);
+    helper_double_24_recursive(buf + 24576, 13);
+    helper_double_24_recursive(buf + 32768, 13);
+    helper_double_24_recursive(buf + 40960, 13);
+    helper_double_24_recursive(buf + 49152, 13);
+    helper_double_24_recursive(buf + 57344, 13);
+    for (int j = 0; j < 65536; j += 65536) {
+      for (int k = 0; k < 8192; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8192), "r"(buf + j + k + 16384), "r"(buf + j + k + 24576), "r"(buf + j + k + 32768), "r"(buf + j + k + 40960), "r"(buf + j + k + 49152), "r"(buf + j + k + 57344) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 19) {
+    helper_double_24_recursive(buf + 0, 16);
+    helper_double_24_recursive(buf + 65536, 16);
+    helper_double_24_recursive(buf + 131072, 16);
+    helper_double_24_recursive(buf + 196608, 16);
+    helper_double_24_recursive(buf + 262144, 16);
+    helper_double_24_recursive(buf + 327680, 16);
+    helper_double_24_recursive(buf + 393216, 16);
+    helper_double_24_recursive(buf + 458752, 16);
+    for (int j = 0; j < 524288; j += 524288) {
+      for (int k = 0; k < 65536; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 65536), "r"(buf + j + k + 131072), "r"(buf + j + k + 196608), "r"(buf + j + k + 262144), "r"(buf + j + k + 327680), "r"(buf + j + k + 393216), "r"(buf + j + k + 458752) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 22) {
+    helper_double_24_recursive(buf + 0, 19);
+    helper_double_24_recursive(buf + 524288, 19);
+    helper_double_24_recursive(buf + 1048576, 19);
+    helper_double_24_recursive(buf + 1572864, 19);
+    helper_double_24_recursive(buf + 2097152, 19);
+    helper_double_24_recursive(buf + 2621440, 19);
+    helper_double_24_recursive(buf + 3145728, 19);
+    helper_double_24_recursive(buf + 3670016, 19);
+    for (int j = 0; j < 4194304; j += 4194304) {
+      for (int k = 0; k < 524288; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 524288), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1572864), "r"(buf + j + k + 2097152), "r"(buf + j + k + 2621440), "r"(buf + j + k + 3145728), "r"(buf + j + k + 3670016) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 24) {
+    helper_double_24_recursive(buf + 0, 22);
+    helper_double_24_recursive(buf + 4194304, 22);
+    helper_double_24_recursive(buf + 8388608, 22);
+    helper_double_24_recursive(buf + 12582912, 22);
+    for (int j = 0; j < 16777216; j += 16777216) {
+      for (int k = 0; k < 4194304; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4194304), "r"(buf + j + k + 8388608), "r"(buf + j + k + 12582912) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_24(double *buf);
+void helper_double_24(double *buf) {
+  helper_double_24_recursive(buf, 24);
+}
+void helper_double_25_recursive(double *buf, int depth);
+void helper_double_25_recursive(double *buf, int depth) {
+  if (depth == 10) {
+    for (int j = 0; j < 1024; j += 16) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm2, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm2, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm2\n"
+          "movapd %%xmm3, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm3, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "movapd %%xmm4, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm4, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm4\n"
+          "movapd %%xmm5, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm5, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm5\n"
+          "movapd %%xmm6, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm6, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm6\n"
+          "movapd %%xmm7, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm7, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6), "r"(buf + j + k + 8), "r"(buf + j + k + 10), "r"(buf + j + k + 12), "r"(buf + j + k + 14) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 1024; j += 128) {
+      for (int k = 0; k < 16; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16), "r"(buf + j + k + 32), "r"(buf + j + k + 48), "r"(buf + j + k + 64), "r"(buf + j + k + 80), "r"(buf + j + k + 96), "r"(buf + j + k + 112) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 1024; j += 1024) {
+      for (int k = 0; k < 128; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 128), "r"(buf + j + k + 256), "r"(buf + j + k + 384), "r"(buf + j + k + 512), "r"(buf + j + k + 640), "r"(buf + j + k + 768), "r"(buf + j + k + 896) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 13) {
+    helper_double_25_recursive(buf + 0, 10);
+    helper_double_25_recursive(buf + 1024, 10);
+    helper_double_25_recursive(buf + 2048, 10);
+    helper_double_25_recursive(buf + 3072, 10);
+    helper_double_25_recursive(buf + 4096, 10);
+    helper_double_25_recursive(buf + 5120, 10);
+    helper_double_25_recursive(buf + 6144, 10);
+    helper_double_25_recursive(buf + 7168, 10);
+    for (int j = 0; j < 8192; j += 8192) {
+      for (int k = 0; k < 1024; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1024), "r"(buf + j + k + 2048), "r"(buf + j + k + 3072), "r"(buf + j + k + 4096), "r"(buf + j + k + 5120), "r"(buf + j + k + 6144), "r"(buf + j + k + 7168) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 16) {
+    helper_double_25_recursive(buf + 0, 13);
+    helper_double_25_recursive(buf + 8192, 13);
+    helper_double_25_recursive(buf + 16384, 13);
+    helper_double_25_recursive(buf + 24576, 13);
+    helper_double_25_recursive(buf + 32768, 13);
+    helper_double_25_recursive(buf + 40960, 13);
+    helper_double_25_recursive(buf + 49152, 13);
+    helper_double_25_recursive(buf + 57344, 13);
+    for (int j = 0; j < 65536; j += 65536) {
+      for (int k = 0; k < 8192; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8192), "r"(buf + j + k + 16384), "r"(buf + j + k + 24576), "r"(buf + j + k + 32768), "r"(buf + j + k + 40960), "r"(buf + j + k + 49152), "r"(buf + j + k + 57344) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 19) {
+    helper_double_25_recursive(buf + 0, 16);
+    helper_double_25_recursive(buf + 65536, 16);
+    helper_double_25_recursive(buf + 131072, 16);
+    helper_double_25_recursive(buf + 196608, 16);
+    helper_double_25_recursive(buf + 262144, 16);
+    helper_double_25_recursive(buf + 327680, 16);
+    helper_double_25_recursive(buf + 393216, 16);
+    helper_double_25_recursive(buf + 458752, 16);
+    for (int j = 0; j < 524288; j += 524288) {
+      for (int k = 0; k < 65536; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 65536), "r"(buf + j + k + 131072), "r"(buf + j + k + 196608), "r"(buf + j + k + 262144), "r"(buf + j + k + 327680), "r"(buf + j + k + 393216), "r"(buf + j + k + 458752) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 22) {
+    helper_double_25_recursive(buf + 0, 19);
+    helper_double_25_recursive(buf + 524288, 19);
+    helper_double_25_recursive(buf + 1048576, 19);
+    helper_double_25_recursive(buf + 1572864, 19);
+    helper_double_25_recursive(buf + 2097152, 19);
+    helper_double_25_recursive(buf + 2621440, 19);
+    helper_double_25_recursive(buf + 3145728, 19);
+    helper_double_25_recursive(buf + 3670016, 19);
+    for (int j = 0; j < 4194304; j += 4194304) {
+      for (int k = 0; k < 524288; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 524288), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1572864), "r"(buf + j + k + 2097152), "r"(buf + j + k + 2621440), "r"(buf + j + k + 3145728), "r"(buf + j + k + 3670016) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 25) {
+    helper_double_25_recursive(buf + 0, 22);
+    helper_double_25_recursive(buf + 4194304, 22);
+    helper_double_25_recursive(buf + 8388608, 22);
+    helper_double_25_recursive(buf + 12582912, 22);
+    helper_double_25_recursive(buf + 16777216, 22);
+    helper_double_25_recursive(buf + 20971520, 22);
+    helper_double_25_recursive(buf + 25165824, 22);
+    helper_double_25_recursive(buf + 29360128, 22);
+    for (int j = 0; j < 33554432; j += 33554432) {
+      for (int k = 0; k < 4194304; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4194304), "r"(buf + j + k + 8388608), "r"(buf + j + k + 12582912), "r"(buf + j + k + 16777216), "r"(buf + j + k + 20971520), "r"(buf + j + k + 25165824), "r"(buf + j + k + 29360128) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_25(double *buf);
+void helper_double_25(double *buf) {
+  helper_double_25_recursive(buf, 25);
+}
+void helper_double_26_recursive(double *buf, int depth);
+void helper_double_26_recursive(double *buf, int depth) {
+  if (depth == 5) {
+    for (int j = 0; j < 32; j += 16) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm2, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm2, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm2\n"
+          "movapd %%xmm3, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm3, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "movapd %%xmm4, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm4, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm4\n"
+          "movapd %%xmm5, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm5, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm5\n"
+          "movapd %%xmm6, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm6, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm6\n"
+          "movapd %%xmm7, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm7, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6), "r"(buf + j + k + 8), "r"(buf + j + k + 10), "r"(buf + j + k + 12), "r"(buf + j + k + 14) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 32; j += 32) {
+      for (int k = 0; k < 16; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 8) {
+    helper_double_26_recursive(buf + 0, 5);
+    helper_double_26_recursive(buf + 32, 5);
+    helper_double_26_recursive(buf + 64, 5);
+    helper_double_26_recursive(buf + 96, 5);
+    helper_double_26_recursive(buf + 128, 5);
+    helper_double_26_recursive(buf + 160, 5);
+    helper_double_26_recursive(buf + 192, 5);
+    helper_double_26_recursive(buf + 224, 5);
+    for (int j = 0; j < 256; j += 256) {
+      for (int k = 0; k < 32; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32), "r"(buf + j + k + 64), "r"(buf + j + k + 96), "r"(buf + j + k + 128), "r"(buf + j + k + 160), "r"(buf + j + k + 192), "r"(buf + j + k + 224) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 11) {
+    helper_double_26_recursive(buf + 0, 8);
+    helper_double_26_recursive(buf + 256, 8);
+    helper_double_26_recursive(buf + 512, 8);
+    helper_double_26_recursive(buf + 768, 8);
+    helper_double_26_recursive(buf + 1024, 8);
+    helper_double_26_recursive(buf + 1280, 8);
+    helper_double_26_recursive(buf + 1536, 8);
+    helper_double_26_recursive(buf + 1792, 8);
+    for (int j = 0; j < 2048; j += 2048) {
+      for (int k = 0; k < 256; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 256), "r"(buf + j + k + 512), "r"(buf + j + k + 768), "r"(buf + j + k + 1024), "r"(buf + j + k + 1280), "r"(buf + j + k + 1536), "r"(buf + j + k + 1792) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 14) {
+    helper_double_26_recursive(buf + 0, 11);
+    helper_double_26_recursive(buf + 2048, 11);
+    helper_double_26_recursive(buf + 4096, 11);
+    helper_double_26_recursive(buf + 6144, 11);
+    helper_double_26_recursive(buf + 8192, 11);
+    helper_double_26_recursive(buf + 10240, 11);
+    helper_double_26_recursive(buf + 12288, 11);
+    helper_double_26_recursive(buf + 14336, 11);
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 2048; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2048), "r"(buf + j + k + 4096), "r"(buf + j + k + 6144), "r"(buf + j + k + 8192), "r"(buf + j + k + 10240), "r"(buf + j + k + 12288), "r"(buf + j + k + 14336) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_double_26_recursive(buf + 0, 14);
+    helper_double_26_recursive(buf + 16384, 14);
+    helper_double_26_recursive(buf + 32768, 14);
+    helper_double_26_recursive(buf + 49152, 14);
+    helper_double_26_recursive(buf + 65536, 14);
+    helper_double_26_recursive(buf + 81920, 14);
+    helper_double_26_recursive(buf + 98304, 14);
+    helper_double_26_recursive(buf + 114688, 14);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 16384; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152), "r"(buf + j + k + 65536), "r"(buf + j + k + 81920), "r"(buf + j + k + 98304), "r"(buf + j + k + 114688) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 20) {
+    helper_double_26_recursive(buf + 0, 17);
+    helper_double_26_recursive(buf + 131072, 17);
+    helper_double_26_recursive(buf + 262144, 17);
+    helper_double_26_recursive(buf + 393216, 17);
+    helper_double_26_recursive(buf + 524288, 17);
+    helper_double_26_recursive(buf + 655360, 17);
+    helper_double_26_recursive(buf + 786432, 17);
+    helper_double_26_recursive(buf + 917504, 17);
+    for (int j = 0; j < 1048576; j += 1048576) {
+      for (int k = 0; k < 131072; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 131072), "r"(buf + j + k + 262144), "r"(buf + j + k + 393216), "r"(buf + j + k + 524288), "r"(buf + j + k + 655360), "r"(buf + j + k + 786432), "r"(buf + j + k + 917504) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 23) {
+    helper_double_26_recursive(buf + 0, 20);
+    helper_double_26_recursive(buf + 1048576, 20);
+    helper_double_26_recursive(buf + 2097152, 20);
+    helper_double_26_recursive(buf + 3145728, 20);
+    helper_double_26_recursive(buf + 4194304, 20);
+    helper_double_26_recursive(buf + 5242880, 20);
+    helper_double_26_recursive(buf + 6291456, 20);
+    helper_double_26_recursive(buf + 7340032, 20);
+    for (int j = 0; j < 8388608; j += 8388608) {
+      for (int k = 0; k < 1048576; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1048576), "r"(buf + j + k + 2097152), "r"(buf + j + k + 3145728), "r"(buf + j + k + 4194304), "r"(buf + j + k + 5242880), "r"(buf + j + k + 6291456), "r"(buf + j + k + 7340032) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 26) {
+    helper_double_26_recursive(buf + 0, 23);
+    helper_double_26_recursive(buf + 8388608, 23);
+    helper_double_26_recursive(buf + 16777216, 23);
+    helper_double_26_recursive(buf + 25165824, 23);
+    helper_double_26_recursive(buf + 33554432, 23);
+    helper_double_26_recursive(buf + 41943040, 23);
+    helper_double_26_recursive(buf + 50331648, 23);
+    helper_double_26_recursive(buf + 58720256, 23);
+    for (int j = 0; j < 67108864; j += 67108864) {
+      for (int k = 0; k < 8388608; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8388608), "r"(buf + j + k + 16777216), "r"(buf + j + k + 25165824), "r"(buf + j + k + 33554432), "r"(buf + j + k + 41943040), "r"(buf + j + k + 50331648), "r"(buf + j + k + 58720256) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_26(double *buf);
+void helper_double_26(double *buf) {
+  helper_double_26_recursive(buf, 26);
+}
+void helper_double_27_recursive(double *buf, int depth);
+void helper_double_27_recursive(double *buf, int depth) {
+  if (depth == 6) {
+    for (int j = 0; j < 64; j += 16) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm2, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm2, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm2\n"
+          "movapd %%xmm3, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm3, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "movapd %%xmm4, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm4, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm4\n"
+          "movapd %%xmm5, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm5, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm5\n"
+          "movapd %%xmm6, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm6, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm6\n"
+          "movapd %%xmm7, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm7, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6), "r"(buf + j + k + 8), "r"(buf + j + k + 10), "r"(buf + j + k + 12), "r"(buf + j + k + 14) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 64; j += 64) {
+      for (int k = 0; k < 16; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16), "r"(buf + j + k + 32), "r"(buf + j + k + 48) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 9) {
+    helper_double_27_recursive(buf + 0, 6);
+    helper_double_27_recursive(buf + 64, 6);
+    helper_double_27_recursive(buf + 128, 6);
+    helper_double_27_recursive(buf + 192, 6);
+    helper_double_27_recursive(buf + 256, 6);
+    helper_double_27_recursive(buf + 320, 6);
+    helper_double_27_recursive(buf + 384, 6);
+    helper_double_27_recursive(buf + 448, 6);
+    for (int j = 0; j < 512; j += 512) {
+      for (int k = 0; k < 64; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 12) {
+    helper_double_27_recursive(buf + 0, 9);
+    helper_double_27_recursive(buf + 512, 9);
+    helper_double_27_recursive(buf + 1024, 9);
+    helper_double_27_recursive(buf + 1536, 9);
+    helper_double_27_recursive(buf + 2048, 9);
+    helper_double_27_recursive(buf + 2560, 9);
+    helper_double_27_recursive(buf + 3072, 9);
+    helper_double_27_recursive(buf + 3584, 9);
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 512; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_double_27_recursive(buf + 0, 12);
+    helper_double_27_recursive(buf + 4096, 12);
+    helper_double_27_recursive(buf + 8192, 12);
+    helper_double_27_recursive(buf + 12288, 12);
+    helper_double_27_recursive(buf + 16384, 12);
+    helper_double_27_recursive(buf + 20480, 12);
+    helper_double_27_recursive(buf + 24576, 12);
+    helper_double_27_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_double_27_recursive(buf + 0, 15);
+    helper_double_27_recursive(buf + 32768, 15);
+    helper_double_27_recursive(buf + 65536, 15);
+    helper_double_27_recursive(buf + 98304, 15);
+    helper_double_27_recursive(buf + 131072, 15);
+    helper_double_27_recursive(buf + 163840, 15);
+    helper_double_27_recursive(buf + 196608, 15);
+    helper_double_27_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_double_27_recursive(buf + 0, 18);
+    helper_double_27_recursive(buf + 262144, 18);
+    helper_double_27_recursive(buf + 524288, 18);
+    helper_double_27_recursive(buf + 786432, 18);
+    helper_double_27_recursive(buf + 1048576, 18);
+    helper_double_27_recursive(buf + 1310720, 18);
+    helper_double_27_recursive(buf + 1572864, 18);
+    helper_double_27_recursive(buf + 1835008, 18);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 262144; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1310720), "r"(buf + j + k + 1572864), "r"(buf + j + k + 1835008) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 24) {
+    helper_double_27_recursive(buf + 0, 21);
+    helper_double_27_recursive(buf + 2097152, 21);
+    helper_double_27_recursive(buf + 4194304, 21);
+    helper_double_27_recursive(buf + 6291456, 21);
+    helper_double_27_recursive(buf + 8388608, 21);
+    helper_double_27_recursive(buf + 10485760, 21);
+    helper_double_27_recursive(buf + 12582912, 21);
+    helper_double_27_recursive(buf + 14680064, 21);
+    for (int j = 0; j < 16777216; j += 16777216) {
+      for (int k = 0; k < 2097152; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2097152), "r"(buf + j + k + 4194304), "r"(buf + j + k + 6291456), "r"(buf + j + k + 8388608), "r"(buf + j + k + 10485760), "r"(buf + j + k + 12582912), "r"(buf + j + k + 14680064) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 27) {
+    helper_double_27_recursive(buf + 0, 24);
+    helper_double_27_recursive(buf + 16777216, 24);
+    helper_double_27_recursive(buf + 33554432, 24);
+    helper_double_27_recursive(buf + 50331648, 24);
+    helper_double_27_recursive(buf + 67108864, 24);
+    helper_double_27_recursive(buf + 83886080, 24);
+    helper_double_27_recursive(buf + 100663296, 24);
+    helper_double_27_recursive(buf + 117440512, 24);
+    for (int j = 0; j < 134217728; j += 134217728) {
+      for (int k = 0; k < 16777216; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16777216), "r"(buf + j + k + 33554432), "r"(buf + j + k + 50331648), "r"(buf + j + k + 67108864), "r"(buf + j + k + 83886080), "r"(buf + j + k + 100663296), "r"(buf + j + k + 117440512) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_27(double *buf);
+void helper_double_27(double *buf) {
+  helper_double_27_recursive(buf, 27);
+}
+void helper_double_28_recursive(double *buf, int depth);
+void helper_double_28_recursive(double *buf, int depth) {
+  if (depth == 14) {
+    for (int j = 0; j < 16384; j += 16) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm2, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm2, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm2\n"
+          "movapd %%xmm3, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm3, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "movapd %%xmm4, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm4, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm4\n"
+          "movapd %%xmm5, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm5, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm5\n"
+          "movapd %%xmm6, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm6, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm6\n"
+          "movapd %%xmm7, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm7, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6), "r"(buf + j + k + 8), "r"(buf + j + k + 10), "r"(buf + j + k + 12), "r"(buf + j + k + 14) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 16384; j += 128) {
+      for (int k = 0; k < 16; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16), "r"(buf + j + k + 32), "r"(buf + j + k + 48), "r"(buf + j + k + 64), "r"(buf + j + k + 80), "r"(buf + j + k + 96), "r"(buf + j + k + 112) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 16384; j += 1024) {
+      for (int k = 0; k < 128; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 128), "r"(buf + j + k + 256), "r"(buf + j + k + 384), "r"(buf + j + k + 512), "r"(buf + j + k + 640), "r"(buf + j + k + 768), "r"(buf + j + k + 896) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 16384; j += 8192) {
+      for (int k = 0; k < 1024; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1024), "r"(buf + j + k + 2048), "r"(buf + j + k + 3072), "r"(buf + j + k + 4096), "r"(buf + j + k + 5120), "r"(buf + j + k + 6144), "r"(buf + j + k + 7168) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 16384; j += 16384) {
+      for (int k = 0; k < 8192; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8192) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 17) {
+    helper_double_28_recursive(buf + 0, 14);
+    helper_double_28_recursive(buf + 16384, 14);
+    helper_double_28_recursive(buf + 32768, 14);
+    helper_double_28_recursive(buf + 49152, 14);
+    helper_double_28_recursive(buf + 65536, 14);
+    helper_double_28_recursive(buf + 81920, 14);
+    helper_double_28_recursive(buf + 98304, 14);
+    helper_double_28_recursive(buf + 114688, 14);
+    for (int j = 0; j < 131072; j += 131072) {
+      for (int k = 0; k < 16384; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16384), "r"(buf + j + k + 32768), "r"(buf + j + k + 49152), "r"(buf + j + k + 65536), "r"(buf + j + k + 81920), "r"(buf + j + k + 98304), "r"(buf + j + k + 114688) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 20) {
+    helper_double_28_recursive(buf + 0, 17);
+    helper_double_28_recursive(buf + 131072, 17);
+    helper_double_28_recursive(buf + 262144, 17);
+    helper_double_28_recursive(buf + 393216, 17);
+    helper_double_28_recursive(buf + 524288, 17);
+    helper_double_28_recursive(buf + 655360, 17);
+    helper_double_28_recursive(buf + 786432, 17);
+    helper_double_28_recursive(buf + 917504, 17);
+    for (int j = 0; j < 1048576; j += 1048576) {
+      for (int k = 0; k < 131072; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 131072), "r"(buf + j + k + 262144), "r"(buf + j + k + 393216), "r"(buf + j + k + 524288), "r"(buf + j + k + 655360), "r"(buf + j + k + 786432), "r"(buf + j + k + 917504) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 23) {
+    helper_double_28_recursive(buf + 0, 20);
+    helper_double_28_recursive(buf + 1048576, 20);
+    helper_double_28_recursive(buf + 2097152, 20);
+    helper_double_28_recursive(buf + 3145728, 20);
+    helper_double_28_recursive(buf + 4194304, 20);
+    helper_double_28_recursive(buf + 5242880, 20);
+    helper_double_28_recursive(buf + 6291456, 20);
+    helper_double_28_recursive(buf + 7340032, 20);
+    for (int j = 0; j < 8388608; j += 8388608) {
+      for (int k = 0; k < 1048576; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 1048576), "r"(buf + j + k + 2097152), "r"(buf + j + k + 3145728), "r"(buf + j + k + 4194304), "r"(buf + j + k + 5242880), "r"(buf + j + k + 6291456), "r"(buf + j + k + 7340032) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 26) {
+    helper_double_28_recursive(buf + 0, 23);
+    helper_double_28_recursive(buf + 8388608, 23);
+    helper_double_28_recursive(buf + 16777216, 23);
+    helper_double_28_recursive(buf + 25165824, 23);
+    helper_double_28_recursive(buf + 33554432, 23);
+    helper_double_28_recursive(buf + 41943040, 23);
+    helper_double_28_recursive(buf + 50331648, 23);
+    helper_double_28_recursive(buf + 58720256, 23);
+    for (int j = 0; j < 67108864; j += 67108864) {
+      for (int k = 0; k < 8388608; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8388608), "r"(buf + j + k + 16777216), "r"(buf + j + k + 25165824), "r"(buf + j + k + 33554432), "r"(buf + j + k + 41943040), "r"(buf + j + k + 50331648), "r"(buf + j + k + 58720256) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 28) {
+    helper_double_28_recursive(buf + 0, 26);
+    helper_double_28_recursive(buf + 67108864, 26);
+    helper_double_28_recursive(buf + 134217728, 26);
+    helper_double_28_recursive(buf + 201326592, 26);
+    for (int j = 0; j < 268435456; j += 268435456) {
+      for (int k = 0; k < 67108864; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 67108864), "r"(buf + j + k + 134217728), "r"(buf + j + k + 201326592) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_28(double *buf);
+void helper_double_28(double *buf) {
+  helper_double_28_recursive(buf, 28);
+}
+void helper_double_29_recursive(double *buf, int depth);
+void helper_double_29_recursive(double *buf, int depth) {
+  if (depth == 9) {
+    for (int j = 0; j < 512; j += 16) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm2, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm2, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm2\n"
+          "movapd %%xmm3, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm3, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "movapd %%xmm4, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm4, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm4\n"
+          "movapd %%xmm5, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm5, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm5\n"
+          "movapd %%xmm6, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm6, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm6\n"
+          "movapd %%xmm7, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm7, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6), "r"(buf + j + k + 8), "r"(buf + j + k + 10), "r"(buf + j + k + 12), "r"(buf + j + k + 14) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 512; j += 128) {
+      for (int k = 0; k < 16; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16), "r"(buf + j + k + 32), "r"(buf + j + k + 48), "r"(buf + j + k + 64), "r"(buf + j + k + 80), "r"(buf + j + k + 96), "r"(buf + j + k + 112) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    for (int j = 0; j < 512; j += 512) {
+      for (int k = 0; k < 128; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 128), "r"(buf + j + k + 256), "r"(buf + j + k + 384) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 12) {
+    helper_double_29_recursive(buf + 0, 9);
+    helper_double_29_recursive(buf + 512, 9);
+    helper_double_29_recursive(buf + 1024, 9);
+    helper_double_29_recursive(buf + 1536, 9);
+    helper_double_29_recursive(buf + 2048, 9);
+    helper_double_29_recursive(buf + 2560, 9);
+    helper_double_29_recursive(buf + 3072, 9);
+    helper_double_29_recursive(buf + 3584, 9);
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 512; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_double_29_recursive(buf + 0, 12);
+    helper_double_29_recursive(buf + 4096, 12);
+    helper_double_29_recursive(buf + 8192, 12);
+    helper_double_29_recursive(buf + 12288, 12);
+    helper_double_29_recursive(buf + 16384, 12);
+    helper_double_29_recursive(buf + 20480, 12);
+    helper_double_29_recursive(buf + 24576, 12);
+    helper_double_29_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_double_29_recursive(buf + 0, 15);
+    helper_double_29_recursive(buf + 32768, 15);
+    helper_double_29_recursive(buf + 65536, 15);
+    helper_double_29_recursive(buf + 98304, 15);
+    helper_double_29_recursive(buf + 131072, 15);
+    helper_double_29_recursive(buf + 163840, 15);
+    helper_double_29_recursive(buf + 196608, 15);
+    helper_double_29_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_double_29_recursive(buf + 0, 18);
+    helper_double_29_recursive(buf + 262144, 18);
+    helper_double_29_recursive(buf + 524288, 18);
+    helper_double_29_recursive(buf + 786432, 18);
+    helper_double_29_recursive(buf + 1048576, 18);
+    helper_double_29_recursive(buf + 1310720, 18);
+    helper_double_29_recursive(buf + 1572864, 18);
+    helper_double_29_recursive(buf + 1835008, 18);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 262144; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1310720), "r"(buf + j + k + 1572864), "r"(buf + j + k + 1835008) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 24) {
+    helper_double_29_recursive(buf + 0, 21);
+    helper_double_29_recursive(buf + 2097152, 21);
+    helper_double_29_recursive(buf + 4194304, 21);
+    helper_double_29_recursive(buf + 6291456, 21);
+    helper_double_29_recursive(buf + 8388608, 21);
+    helper_double_29_recursive(buf + 10485760, 21);
+    helper_double_29_recursive(buf + 12582912, 21);
+    helper_double_29_recursive(buf + 14680064, 21);
+    for (int j = 0; j < 16777216; j += 16777216) {
+      for (int k = 0; k < 2097152; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2097152), "r"(buf + j + k + 4194304), "r"(buf + j + k + 6291456), "r"(buf + j + k + 8388608), "r"(buf + j + k + 10485760), "r"(buf + j + k + 12582912), "r"(buf + j + k + 14680064) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 27) {
+    helper_double_29_recursive(buf + 0, 24);
+    helper_double_29_recursive(buf + 16777216, 24);
+    helper_double_29_recursive(buf + 33554432, 24);
+    helper_double_29_recursive(buf + 50331648, 24);
+    helper_double_29_recursive(buf + 67108864, 24);
+    helper_double_29_recursive(buf + 83886080, 24);
+    helper_double_29_recursive(buf + 100663296, 24);
+    helper_double_29_recursive(buf + 117440512, 24);
+    for (int j = 0; j < 134217728; j += 134217728) {
+      for (int k = 0; k < 16777216; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16777216), "r"(buf + j + k + 33554432), "r"(buf + j + k + 50331648), "r"(buf + j + k + 67108864), "r"(buf + j + k + 83886080), "r"(buf + j + k + 100663296), "r"(buf + j + k + 117440512) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 29) {
+    helper_double_29_recursive(buf + 0, 27);
+    helper_double_29_recursive(buf + 134217728, 27);
+    helper_double_29_recursive(buf + 268435456, 27);
+    helper_double_29_recursive(buf + 402653184, 27);
+    for (int j = 0; j < 536870912; j += 536870912) {
+      for (int k = 0; k < 134217728; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 134217728), "r"(buf + j + k + 268435456), "r"(buf + j + k + 402653184) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_29(double *buf);
+void helper_double_29(double *buf) {
+  helper_double_29_recursive(buf, 29);
+}
+void helper_double_30_recursive(double *buf, int depth);
+void helper_double_30_recursive(double *buf, int depth) {
+  if (depth == 3) {
+    for (int j = 0; j < 8; j += 8) {
+      for (int k = 0; k < 2; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm0\n"
+          "movapd %%xmm1, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm2, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm2, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm2\n"
+          "movapd %%xmm3, %%xmm8\n"
+          "haddpd %%xmm8, %%xmm8\n"
+          "movapd %%xmm3, %%xmm9\n"
+          "hsubpd %%xmm9, %%xmm9\n"
+          "blendpd $1, %%xmm8, %%xmm9\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movupd %%xmm0, (%0)\n"
+          "movupd %%xmm1, (%1)\n"
+          "movupd %%xmm2, (%2)\n"
+          "movupd %%xmm3, (%3)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2), "r"(buf + j + k + 4), "r"(buf + j + k + 6) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 6) {
+    helper_double_30_recursive(buf + 0, 3);
+    helper_double_30_recursive(buf + 8, 3);
+    helper_double_30_recursive(buf + 16, 3);
+    helper_double_30_recursive(buf + 24, 3);
+    helper_double_30_recursive(buf + 32, 3);
+    helper_double_30_recursive(buf + 40, 3);
+    helper_double_30_recursive(buf + 48, 3);
+    helper_double_30_recursive(buf + 56, 3);
+    for (int j = 0; j < 64; j += 64) {
+      for (int k = 0; k < 8; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 8), "r"(buf + j + k + 16), "r"(buf + j + k + 24), "r"(buf + j + k + 32), "r"(buf + j + k + 40), "r"(buf + j + k + 48), "r"(buf + j + k + 56) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 9) {
+    helper_double_30_recursive(buf + 0, 6);
+    helper_double_30_recursive(buf + 64, 6);
+    helper_double_30_recursive(buf + 128, 6);
+    helper_double_30_recursive(buf + 192, 6);
+    helper_double_30_recursive(buf + 256, 6);
+    helper_double_30_recursive(buf + 320, 6);
+    helper_double_30_recursive(buf + 384, 6);
+    helper_double_30_recursive(buf + 448, 6);
+    for (int j = 0; j < 512; j += 512) {
+      for (int k = 0; k < 64; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 64), "r"(buf + j + k + 128), "r"(buf + j + k + 192), "r"(buf + j + k + 256), "r"(buf + j + k + 320), "r"(buf + j + k + 384), "r"(buf + j + k + 448) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 12) {
+    helper_double_30_recursive(buf + 0, 9);
+    helper_double_30_recursive(buf + 512, 9);
+    helper_double_30_recursive(buf + 1024, 9);
+    helper_double_30_recursive(buf + 1536, 9);
+    helper_double_30_recursive(buf + 2048, 9);
+    helper_double_30_recursive(buf + 2560, 9);
+    helper_double_30_recursive(buf + 3072, 9);
+    helper_double_30_recursive(buf + 3584, 9);
+    for (int j = 0; j < 4096; j += 4096) {
+      for (int k = 0; k < 512; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 512), "r"(buf + j + k + 1024), "r"(buf + j + k + 1536), "r"(buf + j + k + 2048), "r"(buf + j + k + 2560), "r"(buf + j + k + 3072), "r"(buf + j + k + 3584) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 15) {
+    helper_double_30_recursive(buf + 0, 12);
+    helper_double_30_recursive(buf + 4096, 12);
+    helper_double_30_recursive(buf + 8192, 12);
+    helper_double_30_recursive(buf + 12288, 12);
+    helper_double_30_recursive(buf + 16384, 12);
+    helper_double_30_recursive(buf + 20480, 12);
+    helper_double_30_recursive(buf + 24576, 12);
+    helper_double_30_recursive(buf + 28672, 12);
+    for (int j = 0; j < 32768; j += 32768) {
+      for (int k = 0; k < 4096; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 4096), "r"(buf + j + k + 8192), "r"(buf + j + k + 12288), "r"(buf + j + k + 16384), "r"(buf + j + k + 20480), "r"(buf + j + k + 24576), "r"(buf + j + k + 28672) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 18) {
+    helper_double_30_recursive(buf + 0, 15);
+    helper_double_30_recursive(buf + 32768, 15);
+    helper_double_30_recursive(buf + 65536, 15);
+    helper_double_30_recursive(buf + 98304, 15);
+    helper_double_30_recursive(buf + 131072, 15);
+    helper_double_30_recursive(buf + 163840, 15);
+    helper_double_30_recursive(buf + 196608, 15);
+    helper_double_30_recursive(buf + 229376, 15);
+    for (int j = 0; j < 262144; j += 262144) {
+      for (int k = 0; k < 32768; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 32768), "r"(buf + j + k + 65536), "r"(buf + j + k + 98304), "r"(buf + j + k + 131072), "r"(buf + j + k + 163840), "r"(buf + j + k + 196608), "r"(buf + j + k + 229376) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 21) {
+    helper_double_30_recursive(buf + 0, 18);
+    helper_double_30_recursive(buf + 262144, 18);
+    helper_double_30_recursive(buf + 524288, 18);
+    helper_double_30_recursive(buf + 786432, 18);
+    helper_double_30_recursive(buf + 1048576, 18);
+    helper_double_30_recursive(buf + 1310720, 18);
+    helper_double_30_recursive(buf + 1572864, 18);
+    helper_double_30_recursive(buf + 1835008, 18);
+    for (int j = 0; j < 2097152; j += 2097152) {
+      for (int k = 0; k < 262144; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 262144), "r"(buf + j + k + 524288), "r"(buf + j + k + 786432), "r"(buf + j + k + 1048576), "r"(buf + j + k + 1310720), "r"(buf + j + k + 1572864), "r"(buf + j + k + 1835008) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 24) {
+    helper_double_30_recursive(buf + 0, 21);
+    helper_double_30_recursive(buf + 2097152, 21);
+    helper_double_30_recursive(buf + 4194304, 21);
+    helper_double_30_recursive(buf + 6291456, 21);
+    helper_double_30_recursive(buf + 8388608, 21);
+    helper_double_30_recursive(buf + 10485760, 21);
+    helper_double_30_recursive(buf + 12582912, 21);
+    helper_double_30_recursive(buf + 14680064, 21);
+    for (int j = 0; j < 16777216; j += 16777216) {
+      for (int k = 0; k < 2097152; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 2097152), "r"(buf + j + k + 4194304), "r"(buf + j + k + 6291456), "r"(buf + j + k + 8388608), "r"(buf + j + k + 10485760), "r"(buf + j + k + 12582912), "r"(buf + j + k + 14680064) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 27) {
+    helper_double_30_recursive(buf + 0, 24);
+    helper_double_30_recursive(buf + 16777216, 24);
+    helper_double_30_recursive(buf + 33554432, 24);
+    helper_double_30_recursive(buf + 50331648, 24);
+    helper_double_30_recursive(buf + 67108864, 24);
+    helper_double_30_recursive(buf + 83886080, 24);
+    helper_double_30_recursive(buf + 100663296, 24);
+    helper_double_30_recursive(buf + 117440512, 24);
+    for (int j = 0; j < 134217728; j += 134217728) {
+      for (int k = 0; k < 16777216; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 16777216), "r"(buf + j + k + 33554432), "r"(buf + j + k + 50331648), "r"(buf + j + k + 67108864), "r"(buf + j + k + 83886080), "r"(buf + j + k + 100663296), "r"(buf + j + k + 117440512) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+  if (depth == 30) {
+    helper_double_30_recursive(buf + 0, 27);
+    helper_double_30_recursive(buf + 134217728, 27);
+    helper_double_30_recursive(buf + 268435456, 27);
+    helper_double_30_recursive(buf + 402653184, 27);
+    helper_double_30_recursive(buf + 536870912, 27);
+    helper_double_30_recursive(buf + 671088640, 27);
+    helper_double_30_recursive(buf + 805306368, 27);
+    helper_double_30_recursive(buf + 939524096, 27);
+    for (int j = 0; j < 1073741824; j += 1073741824) {
+      for (int k = 0; k < 134217728; k += 2) {
+        __asm__ volatile (
+          "movupd (%0), %%xmm0\n"
+          "movupd (%1), %%xmm1\n"
+          "movupd (%2), %%xmm2\n"
+          "movupd (%3), %%xmm3\n"
+          "movupd (%4), %%xmm4\n"
+          "movupd (%5), %%xmm5\n"
+          "movupd (%6), %%xmm6\n"
+          "movupd (%7), %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm9\n"
+          "addpd %%xmm1, %%xmm8\n"
+          "subpd %%xmm1, %%xmm9\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm11\n"
+          "addpd %%xmm3, %%xmm10\n"
+          "subpd %%xmm3, %%xmm11\n"
+          "movapd %%xmm4, %%xmm12\n"
+          "movapd %%xmm4, %%xmm13\n"
+          "addpd %%xmm5, %%xmm12\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm6, %%xmm14\n"
+          "movapd %%xmm6, %%xmm15\n"
+          "addpd %%xmm7, %%xmm14\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movapd %%xmm8, %%xmm0\n"
+          "movapd %%xmm8, %%xmm2\n"
+          "addpd %%xmm10, %%xmm0\n"
+          "subpd %%xmm10, %%xmm2\n"
+          "movapd %%xmm9, %%xmm1\n"
+          "movapd %%xmm9, %%xmm3\n"
+          "addpd %%xmm11, %%xmm1\n"
+          "subpd %%xmm11, %%xmm3\n"
+          "movapd %%xmm12, %%xmm4\n"
+          "movapd %%xmm12, %%xmm6\n"
+          "addpd %%xmm14, %%xmm4\n"
+          "subpd %%xmm14, %%xmm6\n"
+          "movapd %%xmm13, %%xmm5\n"
+          "movapd %%xmm13, %%xmm7\n"
+          "addpd %%xmm15, %%xmm5\n"
+          "subpd %%xmm15, %%xmm7\n"
+          "movapd %%xmm0, %%xmm8\n"
+          "movapd %%xmm0, %%xmm12\n"
+          "addpd %%xmm4, %%xmm8\n"
+          "subpd %%xmm4, %%xmm12\n"
+          "movapd %%xmm1, %%xmm9\n"
+          "movapd %%xmm1, %%xmm13\n"
+          "addpd %%xmm5, %%xmm9\n"
+          "subpd %%xmm5, %%xmm13\n"
+          "movapd %%xmm2, %%xmm10\n"
+          "movapd %%xmm2, %%xmm14\n"
+          "addpd %%xmm6, %%xmm10\n"
+          "subpd %%xmm6, %%xmm14\n"
+          "movapd %%xmm3, %%xmm11\n"
+          "movapd %%xmm3, %%xmm15\n"
+          "addpd %%xmm7, %%xmm11\n"
+          "subpd %%xmm7, %%xmm15\n"
+          "movupd %%xmm8, (%0)\n"
+          "movupd %%xmm9, (%1)\n"
+          "movupd %%xmm10, (%2)\n"
+          "movupd %%xmm11, (%3)\n"
+          "movupd %%xmm12, (%4)\n"
+          "movupd %%xmm13, (%5)\n"
+          "movupd %%xmm14, (%6)\n"
+          "movupd %%xmm15, (%7)\n"
+          :: "r"(buf + j + k + 0), "r"(buf + j + k + 134217728), "r"(buf + j + k + 268435456), "r"(buf + j + k + 402653184), "r"(buf + j + k + 536870912), "r"(buf + j + k + 671088640), "r"(buf + j + k + 805306368), "r"(buf + j + k + 939524096) : "%xmm0", "%xmm1", "%xmm2", "%xmm3", "%xmm4", "%xmm5", "%xmm6", "%xmm7", "%xmm8", "%xmm9", "%xmm10", "%xmm11", "%xmm12", "%xmm13", "%xmm14", "%xmm15", "memory"
+        );
+      }
+    }
+    return;
+  }
+}
+void helper_double_30(double *buf);
+void helper_double_30(double *buf) {
+  helper_double_30_recursive(buf, 30);
+}
+int fht_double(double *buf, int log_n) {
+  if (log_n == 0) {
+    return 0;
+  }
+  if (log_n == 1) {
+    helper_double_1(buf);
+    return 0;
+  }
+  if (log_n == 2) {
+    helper_double_2(buf);
+    return 0;
+  }
+  if (log_n == 3) {
+    helper_double_3(buf);
+    return 0;
+  }
+  if (log_n == 4) {
+    helper_double_4(buf);
+    return 0;
+  }
+  if (log_n == 5) {
+    helper_double_5(buf);
+    return 0;
+  }
+  if (log_n == 6) {
+    helper_double_6(buf);
+    return 0;
+  }
+  if (log_n == 7) {
+    helper_double_7(buf);
+    return 0;
+  }
+  if (log_n == 8) {
+    helper_double_8(buf);
+    return 0;
+  }
+  if (log_n == 9) {
+    helper_double_9(buf);
+    return 0;
+  }
+  if (log_n == 10) {
+    helper_double_10(buf);
+    return 0;
+  }
+  if (log_n == 11) {
+    helper_double_11(buf);
+    return 0;
+  }
+  if (log_n == 12) {
+    helper_double_12(buf);
+    return 0;
+  }
+  if (log_n == 13) {
+    helper_double_13(buf);
+    return 0;
+  }
+  if (log_n == 14) {
+    helper_double_14(buf);
+    return 0;
+  }
+  if (log_n == 15) {
+    helper_double_15(buf);
+    return 0;
+  }
+  if (log_n == 16) {
+    helper_double_16(buf);
+    return 0;
+  }
+  if (log_n == 17) {
+    helper_double_17(buf);
+    return 0;
+  }
+  if (log_n == 18) {
+    helper_double_18(buf);
+    return 0;
+  }
+  if (log_n == 19) {
+    helper_double_19(buf);
+    return 0;
+  }
+  if (log_n == 20) {
+    helper_double_20(buf);
+    return 0;
+  }
+  if (log_n == 21) {
+    helper_double_21(buf);
+    return 0;
+  }
+  if (log_n == 22) {
+    helper_double_22(buf);
+    return 0;
+  }
+  if (log_n == 23) {
+    helper_double_23(buf);
+    return 0;
+  }
+  if (log_n == 24) {
+    helper_double_24(buf);
+    return 0;
+  }
+  if (log_n == 25) {
+    helper_double_25(buf);
+    return 0;
+  }
+  if (log_n == 26) {
+    helper_double_26(buf);
+    return 0;
+  }
+  if (log_n == 27) {
+    helper_double_27(buf);
+    return 0;
+  }
+  if (log_n == 28) {
+    helper_double_28(buf);
+    return 0;
+  }
+  if (log_n == 29) {
+    helper_double_29(buf);
+    return 0;
+  }
+  if (log_n == 30) {
+    helper_double_30(buf);
+    return 0;
+  }
+  return 1;
+}
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py b/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py
new file mode 100644
index 0000000000..bf3655efda
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py
@@ -0,0 +1,869 @@
+# Portions Copyright (c) Meta Platforms, Inc. and affiliates.
+import csv
+import os
+import subprocess
+import sys
+
+max_log_n = 30
+
+
+def is_distinct(l):
+    return len(set(l)) == len(l)
+
+
+def float_avx_0(register, aux_registers, ident=""):
+    if not is_distinct(aux_registers):
+        raise Exception("auxiliary registers must be distinct")
+    if register in aux_registers:
+        raise Exception("the main register can't be one of the auxiliary ones")
+    if len(aux_registers) < 4:
+        raise Exception("float_avx_0 needs at least four auxiliary registers")
+    # given source ABCDEFGH, destination register gets AACCEEGG
+    res = ident + '"vpermilps $160, %%%%%s, %%%%%s\\n"\n' % (register, aux_registers[0])
+    # given source ABCDEFGH, destination register gets BBDDFFHH
+    res += ident + '"vpermilps $245, %%%%%s, %%%%%s\\n"\n' % (
+        register,
+        aux_registers[1],
+    )
+    # aux2 <- 0
+    res += ident + '"vxorps %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[2],
+        aux_registers[2],
+        aux_registers[2],
+    )
+    # aux3 <- -B -B -D -D -F -F -H -H
+    res += ident + '"vsubps %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[1],
+        aux_registers[2],
+        aux_registers[3],
+    )
+    # reg <- (A+B)(A-B)(C+D)(C-D)(E+F)(E-F)(G+H)(G-H)
+    res += ident + '"vaddsubps %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[3],
+        aux_registers[0],
+        register,
+    )
+    return res
+
+
+def float_avx_1(register, aux_registers, ident=""):
+    if not is_distinct(aux_registers):
+        raise Exception("auxiliary registers must be distinct")
+    if register in aux_registers:
+        raise Exception("the main register can't be one of the auxiliary ones")
+    if len(aux_registers) < 5:
+        raise Exception("float_avx_1 needs at least five auxiliary registers")
+    # Given source ABCDEFGH, r0 <- ABABEFEF
+    res = ident + '"vpermilps $68, %%%%%s, %%%%%s\\n"\n' % (register, aux_registers[0])
+    # Given source ABCDEFGH, r1 <- CDCDGHGH
+    res += ident + '"vpermilps $238, %%%%%s, %%%%%s\\n"\n' % (
+        register,
+        aux_registers[1],
+    )
+    # r2 <- 0
+    res += ident + '"vxorps %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[2],
+        aux_registers[2],
+        aux_registers[2],
+    )
+    # r3 <- -C -D -C -D -G -H -G -H
+    res += ident + '"vsubps %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[1],
+        aux_registers[2],
+        aux_registers[3],
+    )
+    # r4 <- C D -C -D G H -G -H
+    res += ident + '"vblendps $204, %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[3],
+        aux_registers[1],
+        aux_registers[4],
+    )
+    # reg <- (A + C) (B + D) (A - C) (B - D) etc.
+    res += ident + '"vaddps %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[0],
+        aux_registers[4],
+        register,
+    )
+    return res
+
+
+def float_avx_2(register, aux_registers, ident=""):
+    if not is_distinct(aux_registers):
+        raise Exception("auxiliary registers must be distinct")
+    if register in aux_registers:
+        raise Exception("the main register can't be one of the auxiliary ones")
+    if len(aux_registers) < 4:
+        raise Exception("float_avx_2 needs at least four auxiliary registers")
+    # r0 <- 0
+    res = ident + '"vxorps %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[0],
+        aux_registers[0],
+        aux_registers[0],
+    )
+    # r1 <- -A -B -C -D -E -F -G -H
+    res += ident + '"vsubps %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        register,
+        aux_registers[0],
+        aux_registers[1],
+    )
+    # r2 <- ABABEFEF
+    res += ident + '"vperm2f128 $0, %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        register,
+        register,
+        aux_registers[2],
+    )
+    # r3 <- C D -C -D G H -G -H
+    res += ident + '"vperm2f128 $49, %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[1],
+        register,
+        aux_registers[3],
+    )
+    # reg <- (A + C) (B + D)(A - C) (B - D) etc.
+    res += ident + '"vaddps %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[2],
+        aux_registers[3],
+        register,
+    )
+    return res
+
+
+def float_avx_3_etc(
+    from_register_0, from_register_1, to_register_0, to_register_1, ident=""
+):
+    if not is_distinct(
+        [from_register_0, from_register_1, to_register_0, to_register_1]
+    ):
+        raise Exception("four registers must be distinct")
+    res = ident + '"vaddps %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        from_register_1,
+        from_register_0,
+        to_register_0,
+    )
+    res += ident + '"vsubps %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        from_register_1,
+        from_register_0,
+        to_register_1,
+    )
+    return res
+
+
+def double_avx_0(register, aux_registers, ident=""):
+    if not is_distinct(aux_registers):
+        raise Exception("auxiliary registers must be distinct")
+    if register in aux_registers:
+        raise Exception("the main register can't be one of the auxiliary ones")
+    if len(aux_registers) < 4:
+        raise Exception("double_avx_0 needs at least four auxiliary registers")
+    # r0 <- AACC
+    res = ident + '"vpermilpd $0, %%%%%s, %%%%%s\\n"\n' % (register, aux_registers[0])
+    # r1 <- BBDD
+    res += ident + '"vpermilpd $15, %%%%%s, %%%%%s\\n"\n' % (register, aux_registers[1])
+    # r2 <- 0
+    res += ident + '"vxorpd %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[2],
+        aux_registers[2],
+        aux_registers[2],
+    )
+    # r3 <- -B -B -D -D
+    res += ident + '"vsubpd %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[1],
+        aux_registers[2],
+        aux_registers[3],
+    )
+    # reg <- (A + B)(A - B)(C + D)(C - D)
+    res += ident + '"vaddsubpd %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[3],
+        aux_registers[0],
+        register,
+    )
+    return res
+
+
+def double_avx_1(register, aux_registers, ident=""):
+    if not is_distinct(aux_registers):
+        raise Exception("auxiliary registers must be distinct")
+    if register in aux_registers:
+        raise Exception("the main register can't be one of the auxiliary ones")
+    if len(aux_registers) < 4:
+        raise Exception("double_avx_1 needs at least four auxiliary registers")
+    # r0 <- ABAB
+    res = ident + '"vperm2f128 $0, %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        register,
+        register,
+        aux_registers[0],
+    )
+    # r1 <- 0
+    res += ident + '"vxorpd %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[1],
+        aux_registers[1],
+        aux_registers[1],
+    )
+    # r2 <- -A -B -C -D
+    res += ident + '"vsubpd %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        register,
+        aux_registers[1],
+        aux_registers[2],
+    )
+    # r3 <- C D -C -D
+    res += ident + '"vperm2f128 $49, %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[2],
+        register,
+        aux_registers[3],
+    )
+    # reg <- (A + C)(B + D)(A - C)(B - D)
+    res += ident + '"vaddpd %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[3],
+        aux_registers[0],
+        register,
+    )
+    return res
+
+
+def double_avx_2_etc(
+    from_register_0, from_register_1, to_register_0, to_register_1, ident=""
+):
+    if not is_distinct(
+        [from_register_0, from_register_1, to_register_0, to_register_1]
+    ):
+        raise Exception("four registers must be distinct")
+    res = ident + '"vaddpd %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        from_register_1,
+        from_register_0,
+        to_register_0,
+    )
+    res += ident + '"vsubpd %%%%%s, %%%%%s, %%%%%s\\n"\n' % (
+        from_register_1,
+        from_register_0,
+        to_register_1,
+    )
+    return res
+
+
+def float_sse_0(register, aux_registers, ident=""):
+    if not is_distinct(aux_registers):
+        raise Exception("auxiliary registers must be distinct")
+    if register in aux_registers:
+        raise Exception("the main register can't be one of the auxiliary ones")
+    if len(aux_registers) < 2:
+        raise Exception("float_sse_0 needs at least two auxiliary registers")
+    res = ident + '"movaps %%%%%s, %%%%%s\\n"\n' % (register, aux_registers[0])
+    res += ident + '"shufps $160, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[0],
+        aux_registers[0],
+    )
+    res += ident + '"shufps $245, %%%%%s, %%%%%s\\n"\n' % (register, register)
+    res += ident + '"xorps %%%%%s, %%%%%s\\n"\n' % (aux_registers[1], aux_registers[1])
+    res += ident + '"subps %%%%%s, %%%%%s\\n"\n' % (register, aux_registers[1])
+    res += ident + '"addsubps %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[1],
+        aux_registers[0],
+    )
+    res += ident + '"movaps %%%%%s, %%%%%s\\n"\n' % (aux_registers[0], register)
+    return res
+
+
+def float_sse_1(register, aux_registers, ident=""):
+    if not is_distinct(aux_registers):
+        raise Exception("auxiliary registers must be distinct")
+    if register in aux_registers:
+        raise Exception("the main register can't be one of the auxiliary ones")
+    if len(aux_registers) < 4:
+        raise Exception("float_sse_1 needs at least four auxiliary registers")
+    res = ident + '"movaps %%%%%s, %%%%%s\\n"\n' % (register, aux_registers[0])
+    res += ident + '"shufps $68, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[0],
+        aux_registers[0],
+    )
+    res += ident + '"xorps %%%%%s, %%%%%s\\n"\n' % (aux_registers[1], aux_registers[1])
+    res += ident + '"movaps %%%%%s, %%%%%s\\n"\n' % (register, aux_registers[2])
+    res += ident + '"shufps $14, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[1],
+        aux_registers[2],
+    )
+    res += ident + '"movaps %%%%%s, %%%%%s\\n"\n' % (register, aux_registers[3])
+    res += ident + '"shufps $224, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[3],
+        aux_registers[1],
+    )
+    res += ident + '"addps %%%%%s, %%%%%s\\n"\n' % (aux_registers[0], aux_registers[2])
+    res += ident + '"subps %%%%%s, %%%%%s\\n"\n' % (aux_registers[1], aux_registers[2])
+    res += ident + '"movaps %%%%%s, %%%%%s\\n"\n' % (aux_registers[2], register)
+    return res
+
+
+def float_sse_2_etc(
+    from_register_0, from_register_1, to_register_0, to_register_1, ident=""
+):
+    if not is_distinct(
+        [from_register_0, from_register_1, to_register_0, to_register_1]
+    ):
+        raise Exception("four registers must be distinct")
+    res = ident + '"movaps %%%%%s, %%%%%s\\n"\n' % (from_register_0, to_register_0)
+    res += ident + '"movaps %%%%%s, %%%%%s\\n"\n' % (from_register_0, to_register_1)
+    res += ident + '"addps %%%%%s, %%%%%s\\n"\n' % (from_register_1, to_register_0)
+    res += ident + '"subps %%%%%s, %%%%%s\\n"\n' % (from_register_1, to_register_1)
+    return res
+
+
+def double_sse_0(register, aux_registers, ident=""):
+    if not is_distinct(aux_registers):
+        raise Exception("auxiliary registers must be distinct")
+    if register in aux_registers:
+        raise Exception("the main register can't be one of the auxiliary ones")
+    if len(aux_registers) < 2:
+        raise Exception("double_sse_0 needs at least two auxiliary registers")
+    res = ident + '"movapd %%%%%s, %%%%%s\\n"\n' % (register, aux_registers[0])
+    res += ident + '"haddpd %%%%%s, %%%%%s\\n"\n' % (aux_registers[0], aux_registers[0])
+    res += ident + '"movapd %%%%%s, %%%%%s\\n"\n' % (register, aux_registers[1])
+    res += ident + '"hsubpd %%%%%s, %%%%%s\\n"\n' % (aux_registers[1], aux_registers[1])
+    res += ident + '"blendpd $1, %%%%%s, %%%%%s\\n"\n' % (
+        aux_registers[0],
+        aux_registers[1],
+    )
+    res += ident + '"movapd %%%%%s, %%%%%s\\n"\n' % (aux_registers[1], register)
+    return res
+
+
+def double_sse_1_etc(
+    from_register_0, from_register_1, to_register_0, to_register_1, ident=""
+):
+    if not is_distinct(
+        [from_register_0, from_register_1, to_register_0, to_register_1]
+    ):
+        raise Exception("four registers must be distinct")
+    res = ident + '"movapd %%%%%s, %%%%%s\\n"\n' % (from_register_0, to_register_0)
+    res += ident + '"movapd %%%%%s, %%%%%s\\n"\n' % (from_register_0, to_register_1)
+    res += ident + '"addpd %%%%%s, %%%%%s\\n"\n' % (from_register_1, to_register_0)
+    res += ident + '"subpd %%%%%s, %%%%%s\\n"\n' % (from_register_1, to_register_1)
+    return res
+
+
+# Given reg = ABCD, return (A+B)(A-B)(C+D)(C-D)
+def float_neon_0(register, aux_registers, ident=""):
+    if not is_distinct(aux_registers):
+        raise Exception("auxiliary registers must be distinct")
+    if register in aux_registers:
+        raise Exception("the main register can't be one of the auxiliary ones")
+    if len(aux_registers) < 2:
+        raise Exception("float_neon_0 needs at least two auxiliary registers")
+    # r0 <- AACC
+    res = f'{ident}"TRN1 {aux_registers[0]}.4S, {register}.4S, {register}.4S\\n"\n'
+    # r1 <- -A -B -C -D
+    res += f'{ident}"FNEG {aux_registers[1]}.4S, {register}.4S\\n"\n'
+    # r2 <- B (-B) D -D
+    res += f'{ident}"TRN2 {aux_registers[1]}.4S, {register}.4S, {aux_registers[1]}.4S\\n"\n'
+    # reg <- (A+B)(A-B)(C+D)(C-D)
+    res += f'{ident}"FADD {register}.4S, {aux_registers[0]}.4S, {aux_registers[1]}.4S\\n"\n'
+
+    return res
+
+
+# Given reg = ABCD, return (A + C)(B + D)(A - C)(B - D)
+def float_neon_1(register, aux_registers, ident=""):
+    if not is_distinct(aux_registers):
+        raise Exception("auxiliary registers must be distinct")
+    if register in aux_registers:
+        raise Exception("the main register can't be one of the auxiliary ones")
+    if len(aux_registers) < 2:
+        raise Exception("float_neon_1 needs at least two auxiliary registers")
+    # r0 <- ABAB
+    res = f'{ident}"DUP {aux_registers[0]}.2D, {register}.D[0]\\n"\n'
+    # r1 <- -A -B -C -D
+    res += f'{ident}"FNEG {aux_registers[1]}.4S, {register}.4S\\n"\n'
+    # r1 <- C D -C -D
+    res += f'{ident}"INS {aux_registers[1]}.D[0], {register}.D[1]\\n"\n'
+    # reg <- (A + C)(B + D)(A - C)(B - D)
+    res += f'{ident}"FADD {register}.4S, {aux_registers[0]}.4S, {aux_registers[1]}.4S\\n"\n'
+
+    return res
+
+
+def float_neon_2_etc(
+    from_register_0, from_register_1, to_register_0, to_register_1, ident=""
+):
+    if not is_distinct(
+        [from_register_0, from_register_1, to_register_0, to_register_1]
+    ):
+        raise Exception("four registers must be distinct")
+    res = f'{ident}"FADD {to_register_0}.4S, {from_register_0}.4S, {from_register_1}.4S\\n"\n'
+    res += f'{ident}"FSUB {to_register_1}.4S, {from_register_0}.4S, {from_register_1}.4S\\n"\n'
+    return res
+
+
+def plain_step(type_name, buf_name, log_n, it, ident=""):
+    if log_n <= 0:
+        raise Exception("log_n must be positive")
+    if it < 0:
+        raise Exception("it must be non-negative")
+    if it >= log_n:
+        raise Exception("it must be smaller than log_n")
+    n = 1 << log_n
+    res = ident + "for (int j = 0; j < %d; j += %d) {\n" % (n, 1 << (it + 1))
+    res += ident + "  for (int k = 0; k < %d; ++k) {\n" % (1 << it)
+    res += ident + "    %s u = %s[j + k];\n" % (type_name, buf_name)
+    res += ident + "    %s v = %s[j + k + %d];\n" % (type_name, buf_name, 1 << it)
+    res += ident + "    %s[j + k] = u + v;\n" % buf_name
+    res += ident + "    %s[j + k + %d] = u - v;\n" % (buf_name, 1 << it)
+    res += ident + "  }\n"
+    res += ident + "}\n"
+    return res
+
+
+MOVE_INSTRUCTION_USE_NEON = "NEON MOV"
+
+
+def composite_step(
+    buf_name,
+    log_n,
+    from_it,
+    to_it,
+    log_w,
+    registers,
+    move_instruction,
+    special_steps,
+    main_step,
+    ident="",
+):
+    # HACK: NEON needs different syntax for loads and stores.
+    use_neon_movs = move_instruction == MOVE_INSTRUCTION_USE_NEON
+    if log_n < log_w:
+        raise Exception("need at least %d elements" % (1 << log_w))
+    num_registers = len(registers)
+    if num_registers % 2 == 1:
+        raise Exception("odd number of registers: %d" % num_registers)
+    num_nontrivial_levels = 0
+    if to_it > log_w:
+        first_nontrivial = max(from_it, log_w)
+        num_nontrivial_levels = to_it - first_nontrivial
+        if 1 << num_nontrivial_levels > num_registers / 2:
+            raise Exception("not enough registers")
+    n = 1 << log_n
+    input_registers = []
+    output_registers = []
+    for i in range(num_registers):
+        if i < num_registers / 2:
+            input_registers.append(registers[i])
+        else:
+            output_registers.append(registers[i])
+    clobber = ", ".join(['"%%%s"' % x for x in registers])
+    if num_nontrivial_levels == 0:
+        res = ident + "for (int j = 0; j < %d; j += %d) {\n" % (n, 1 << log_w)
+        res += ident + "  __asm__ volatile (\n"
+        if use_neon_movs:
+            res += f'{ident}    "LD1 {{{input_registers[0]}.4S}}, [%0]\\n"\n'
+        else:
+            res += ident + '    "%s (%%0), %%%%%s\\n"\n' % (
+                move_instruction,
+                input_registers[0],
+            )
+        for it in range(from_it, to_it):
+            res += special_steps[it](
+                input_registers[0], output_registers, ident + "    "
+            )
+        if use_neon_movs:
+            res += f'{ident}    "ST1 {{{input_registers[0]}.4S}}, [%0]\\n"\n'
+        else:
+            res += ident + '    "%s %%%%%s, (%%0)\\n"\n' % (
+                move_instruction,
+                input_registers[0],
+            )
+        res += ident + '    :: "r"(%s + j) : %s, "memory"\n' % (buf_name, clobber)
+        res += ident + "  );\n"
+        res += ident + "}\n"
+        return res
+    res = ident + "for (int j = 0; j < %d; j += %d) {\n" % (n, 1 << to_it)
+    res += ident + "  for (int k = 0; k < %d; k += %d) {\n" % (
+        1 << (to_it - num_nontrivial_levels),
+        1 << log_w,
+    )
+    subcube = []
+    for l in range(1 << num_nontrivial_levels):
+        subcube.append("j + k + " + str(l * (1 << (to_it - num_nontrivial_levels))))
+    res += ident + "    __asm__ volatile (\n"
+    for l in range(1 << num_nontrivial_levels):
+        if use_neon_movs:
+            res += f'{ident}      "LD1 {{{input_registers[l]}.4S}}, [%{l}]\\n"\n'
+        else:
+            res += ident + '      "%s (%%%d), %%%%%s\\n"\n' % (
+                move_instruction,
+                l,
+                input_registers[l],
+            )
+    for it in range(from_it, log_w):
+        for ii in range(1 << num_nontrivial_levels):
+            res += special_steps[it](
+                input_registers[ii], output_registers, ident + "      "
+            )
+    for it in range(num_nontrivial_levels):
+        for ii in range(0, 1 << num_nontrivial_levels, 1 << (it + 1)):
+            for jj in range(1 << it):
+                res += main_step(
+                    input_registers[ii + jj],
+                    input_registers[ii + jj + (1 << it)],
+                    output_registers[ii + jj],
+                    output_registers[ii + jj + (1 << it)],
+                    ident + "      ",
+                )
+        tmp = input_registers
+        input_registers = output_registers
+        output_registers = tmp
+    for l in range(1 << num_nontrivial_levels):
+        if use_neon_movs:
+            res += f'{ident}      "ST1 {{{input_registers[l]}.4S}}, [%{l}]\\n"\n'
+        else:
+            res += ident + '      "%s %%%%%s, (%%%d)\\n"\n' % (
+                move_instruction,
+                input_registers[l],
+                l,
+            )
+    res += ident + '      :: %s : %s, "memory"\n' % (
+        ", ".join(['"r"(%s + %s)' % (buf_name, x) for x in subcube]),
+        clobber,
+    )
+    res += ident + "    );\n"
+    res += ident + "  }\n"
+    res += ident + "}\n"
+    return res
+
+
+def float_avx_composite_step(buf_name, log_n, from_it, to_it, ident=""):
+    return composite_step(
+        buf_name,
+        log_n,
+        from_it,
+        to_it,
+        3,
+        ["ymm%d" % x for x in range(16)],
+        "vmovups",
+        [float_avx_0, float_avx_1, float_avx_2],
+        float_avx_3_etc,
+        ident,
+    )
+
+
+def double_avx_composite_step(buf_name, log_n, from_it, to_it, ident=""):
+    return composite_step(
+        buf_name,
+        log_n,
+        from_it,
+        to_it,
+        2,
+        ["ymm%d" % x for x in range(16)],
+        "vmovupd",
+        [double_avx_0, double_avx_1],
+        double_avx_2_etc,
+        ident,
+    )
+
+
+def float_sse_composite_step(buf_name, log_n, from_it, to_it, ident=""):
+    return composite_step(
+        buf_name,
+        log_n,
+        from_it,
+        to_it,
+        2,
+        ["xmm%d" % x for x in range(16)],
+        "movups",
+        [float_sse_0, float_sse_1],
+        float_sse_2_etc,
+        ident,
+    )
+
+
+def double_sse_composite_step(buf_name, log_n, from_it, to_it, ident=""):
+    return composite_step(
+        buf_name,
+        log_n,
+        from_it,
+        to_it,
+        1,
+        ["xmm%d" % x for x in range(16)],
+        "movupd",
+        [double_sse_0],
+        double_sse_1_etc,
+        ident,
+    )
+
+
+NEON_VECTOR_REGS = [f"v{x}" for x in range(0, 32)]
+
+
+def float_neon_composite_step(buf_name, log_n, from_it, to_it, ident=""):
+    return composite_step(
+        buf_name,
+        log_n,
+        from_it,
+        to_it,
+        2,
+        NEON_VECTOR_REGS,
+        MOVE_INSTRUCTION_USE_NEON,
+        [float_neon_0, float_neon_1],
+        float_neon_2_etc,
+        ident,
+    )
+
+
+def plain_unmerged(type_name, log_n):
+    signature = "static inline void helper_%s_%d(%s *buf)" % (
+        type_name,
+        log_n,
+        type_name,
+    )
+    res = "%s;\n" % signature
+    res += "%s {\n" % signature
+    for i in range(log_n):
+        res += plain_step(type_name, "buf", log_n, i, "  ")
+    res += "}\n"
+    return res
+
+
+def greedy_merged(type_name, log_n, composite_step):
+    try:
+        composite_step("buf", log_n, 0, 0)
+    except Exception:
+        raise Exception("log_n is too small: %d" % log_n)
+    signature = "static inline void helper_%s_%d(%s *buf)" % (
+        type_name,
+        log_n,
+        type_name,
+    )
+    res = "%s;\n" % signature
+    res += "%s {\n" % signature
+    cur_it = 0
+    while cur_it < log_n:
+        cur_to_it = log_n
+        while True:
+            try:
+                composite_step("buf", log_n, cur_it, cur_to_it)
+                break
+            except Exception as e:
+                print(f"warning: {e}")
+                cur_to_it -= 1
+                continue
+        res += composite_step("buf", log_n, cur_it, cur_to_it, "  ")
+        cur_it = cur_to_it
+    res += "}\n"
+    return res
+
+
+def greedy_merged_recursive(type_name, log_n, threshold_step, composite_step):
+    if threshold_step > log_n:
+        raise Exception("threshold_step must be at most log_n")
+    try:
+        composite_step("buf", threshold_step, 0, 0)
+    except Exception:
+        raise Exception("threshold_step is too small: %d" % threshold_step)
+    signature = "void helper_%s_%d_recursive(%s *buf, int depth)" % (
+        type_name,
+        log_n,
+        type_name,
+    )
+    res = "%s;\n" % signature
+    res += "%s {\n" % signature
+    res += "  if (depth == %d) {\n" % threshold_step
+    if threshold_step == log_n:
+        cur_it = 0
+        while cur_it < threshold_step:
+            cur_to_it = threshold_step
+            while True:
+                try:
+                    composite_step("buf", threshold_step, cur_it, cur_to_it)
+                    break
+                except Exception:
+                    cur_to_it -= 1
+                    continue
+            res += composite_step("buf", threshold_step, cur_it, cur_to_it, "    ")
+            cur_it = cur_to_it
+    else:
+        res += "    helper_%s_%d(buf);\n" % (type_name, threshold_step)
+
+    res += "    return;\n"
+    res += "  }\n"
+    cur_it = threshold_step
+    while cur_it < log_n:
+        cur_to_it = log_n
+        while True:
+            try:
+                composite_step("buf", cur_to_it, cur_it, cur_to_it)
+                break
+            except Exception:
+                cur_to_it -= 1
+                continue
+        res += "  if (depth == %d) {\n" % cur_to_it
+        for i in range(1 << (cur_to_it - cur_it)):
+            res += "    helper_%s_%d_recursive(buf + %d, %d);\n" % (
+                type_name,
+                log_n,
+                i * (1 << cur_it),
+                cur_it,
+            )
+        if cur_to_it < log_n:
+            res += "    helper_%s_%d(buf);" % (type_name, cur_to_it)
+        else:
+            res += composite_step("buf", cur_to_it, cur_it, cur_to_it, "    ")
+        res += "    return;\n"
+        res += "  }\n"
+        cur_it = cur_to_it
+    res += "}\n"
+    signature = "void helper_%s_%d(%s *buf)" % (type_name, log_n, type_name)
+    res += "%s;\n" % signature
+    res += "%s {\n" % signature
+    res += "  helper_%s_%d_recursive(buf, %d);\n" % (type_name, log_n, log_n)
+    res += "}\n"
+    return res
+
+
+def extract_time(data):
+    cpu_time = float(data["cpu_time"])
+    time_unit = data["time_unit"]
+    if time_unit != "ns":
+        raise Exception("nanoseconds expected")
+    return cpu_time / 1e9
+
+
+def get_mean_stddev():
+    with open("measurements/output.csv", "r") as csvfile:
+        reader = csv.reader(csvfile)
+        first = True
+        for row in reader:
+            if first:
+                header = row
+                first = False
+            else:
+                data = {}
+                for x, y in zip(header, row):
+                    data[x] = y
+                if data["name"] == "benchmark_fht_mean":
+                    mean = extract_time(data)
+                elif data["name"] == "benchmark_fht_stddev":
+                    stddev = extract_time(data)
+    return mean
+
+
+def measure_time(code, log_n, type_name, method_name, num_it=3):
+    if num_it % 2 == 0:
+        raise Exception("even number of runs: %d" % num_it)
+    with open("measurements/to_run.h", "w") as output:
+        output.write(code)
+        output.write("const int log_n = %d;\n" % log_n)
+        signature = "void run(%s *buf)" % type_name
+        output.write("%s;\n" % signature)
+        output.write("%s {\n" % signature)
+        output.write("  %s(buf);\n" % method_name)
+        output.write("}\n")
+    with open("/dev/null", "wb") as devnull:
+        code = subprocess.call(
+            "cd measurements && make run_%s" % type_name, shell=True, stdout=devnull
+        )
+        if code != 0:
+            raise Exception("bad exit code")
+        code = subprocess.call(
+            "./measurements/run_%s --benchmark_repetitions=%d --benchmark_format=csv > ./measurements/output.csv"
+            % (type_name, num_it),
+            shell=True,
+            stderr=devnull,
+        )
+        if code != 0:
+            raise Exception("bad exit code")
+    return get_mean_stddev()
+
+
+# Configuration parameter; set to False if you want the absolute fastest code without regard to size.
+CARE_ABOUT_CODE_SIZE = True
+
+# When CARE_ABOUT_CODE_SIZE, accept the smallest code that is not slower than
+# MAX_PERFORMANCE_PENALTY_FOR_REDUCED_SIZE * the fastest time.
+MAX_PERFORMANCE_PENALTY_FOR_REDUCED_SIZE = 1.1
+
+
+if __name__ == "__main__":
+    final_code = '// @generated\n#include "fht.h"\n'
+    code_so_far = ""
+    hall_of_fame = []
+    for type_name, composite_step_generator in [("float", float_neon_composite_step)]:
+        for log_n in range(1, max_log_n + 1):
+            sys.stdout.write("log_n = %d\n" % log_n)
+            times = []
+            try:
+                (res, desc) = (
+                    greedy_merged(type_name, log_n, composite_step_generator),
+                    "greedy_merged",
+                )
+            except Exception:
+                (res, desc) = (plain_unmerged(type_name, log_n), "plain_unmerged")
+            time = measure_time(
+                code_so_far + res, log_n, type_name, "helper_%s_%d" % (type_name, log_n)
+            )
+            code_size = res.count("\n")
+            times.append((time, res, code_size, desc))
+            sys.stdout.write(
+                "log_n = %d; iterative; code_size = %d; time = %.10e\n"
+                % (log_n, code_size, time)
+            )
+            for threshold_step in range(1, log_n + 1):
+                try:
+                    res = greedy_merged_recursive(
+                        type_name, log_n, threshold_step, composite_step_generator
+                    )
+                    time = measure_time(
+                        code_so_far + res,
+                        log_n,
+                        type_name,
+                        "helper_%s_%d" % (type_name, log_n),
+                    )
+                    code_size = res.count("\n")
+                    times.append(
+                        (
+                            time,
+                            res,
+                            code_size,
+                            "greedy_merged_recursive %d" % threshold_step,
+                        )
+                    )
+                    sys.stdout.write(
+                        "log_n = %d; threshold_step = %d; code_size = %d; time = %.10e\n"
+                        % (log_n, threshold_step, code_size, time)
+                    )
+                except Exception as e:
+                    sys.stdout.write(f"FAIL: {threshold_step} ({e})\n")
+            if CARE_ABOUT_CODE_SIZE:
+                fastest_time = min(times)[0]
+                times_by_size = sorted(times, key=lambda x: x[2])
+                for x in times_by_size:
+                    if x[0] <= fastest_time * MAX_PERFORMANCE_PENALTY_FOR_REDUCED_SIZE:
+                        smallest_acceptable = x
+                        break
+                (best_time, best_code, best_code_size, best_desc) = smallest_acceptable
+            else:
+                (best_time, best_code, best_code_size, best_desc) = min(times)
+            hall_of_fame.append((type_name, log_n, best_time, best_desc))
+            final_code += best_code
+            code_so_far += best_code
+            sys.stdout.write(
+                "log_n = %d; best_time = %.10e; %s\n" % (log_n, best_time, best_desc)
+            )
+        final_code += "int fht_%s(%s *buf, int log_n) {\n" % (type_name, type_name)
+        final_code += "  if (log_n == 0) {\n"
+        final_code += "    return 0;\n"
+        final_code += "  }\n"
+        for i in range(1, max_log_n + 1):
+            final_code += "  if (log_n == %d) {\n" % i
+            final_code += "    helper_%s_%d(buf);\n" % (type_name, i)
+            final_code += "    return 0;\n"
+            final_code += "  }\n"
+        final_code += "  return 1;\n"
+        final_code += "}\n"
+    with open("fht_neon.c", "w") as output:
+        output.write(final_code)
+    sys.stdout.write("hall of fame\n")
+    with open("hall_of_fame_neon.txt", "w") as hof:
+        for type_name, log_n, best_time, best_desc in hall_of_fame:
+            s = "type_name = %s; log_n = %d; best_time = %.10e; best_desc = %s\n" % (
+                type_name,
+                log_n,
+                best_time,
+                best_desc,
+            )
+            sys.stdout.write(s)
+            hof.write(s)
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/hall_of_fame_avx.txt b/extension/llm/custom_ops/spinquant/third-party/FFHT/hall_of_fame_avx.txt
new file mode 100644
index 0000000000..316ac08e5b
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/hall_of_fame_avx.txt
@@ -0,0 +1,60 @@
+type_name = float; log_n = 1; best_time = 3.8273900000e-08; best_desc = plain_unmerged
+type_name = float; log_n = 2; best_time = 3.8694400000e-08; best_desc = plain_unmerged
+type_name = float; log_n = 3; best_time = 4.4120100000e-08; best_desc = greedy_merged
+type_name = float; log_n = 4; best_time = 4.6617800000e-08; best_desc = greedy_merged
+type_name = float; log_n = 5; best_time = 4.8970800000e-08; best_desc = greedy_merged
+type_name = float; log_n = 6; best_time = 5.3648500000e-08; best_desc = greedy_merged
+type_name = float; log_n = 7; best_time = 7.1866600000e-08; best_desc = greedy_merged_recursive 7
+type_name = float; log_n = 8; best_time = 1.0585600000e-07; best_desc = greedy_merged_recursive 6
+type_name = float; log_n = 9; best_time = 1.7403800000e-07; best_desc = greedy_merged
+type_name = float; log_n = 10; best_time = 3.4412700000e-07; best_desc = greedy_merged_recursive 10
+type_name = float; log_n = 11; best_time = 6.5679200000e-07; best_desc = greedy_merged_recursive 11
+type_name = float; log_n = 12; best_time = 1.3143800000e-06; best_desc = greedy_merged
+type_name = float; log_n = 13; best_time = 2.8488300000e-06; best_desc = greedy_merged_recursive 11
+type_name = float; log_n = 14; best_time = 6.1163700000e-06; best_desc = greedy_merged_recursive 12
+type_name = float; log_n = 15; best_time = 1.3664400000e-05; best_desc = greedy_merged_recursive 13
+type_name = float; log_n = 16; best_time = 3.0120900000e-05; best_desc = greedy_merged_recursive 13
+type_name = float; log_n = 17; best_time = 6.5561000000e-05; best_desc = greedy_merged_recursive 12
+type_name = float; log_n = 18; best_time = 1.4176100000e-04; best_desc = greedy_merged_recursive 12
+type_name = float; log_n = 19; best_time = 3.0320000000e-04; best_desc = greedy_merged_recursive 13
+type_name = float; log_n = 20; best_time = 6.7070400000e-04; best_desc = greedy_merged_recursive 12
+type_name = float; log_n = 21; best_time = 1.4708400000e-03; best_desc = greedy_merged_recursive 9
+type_name = float; log_n = 22; best_time = 3.9836500000e-03; best_desc = greedy_merged_recursive 11
+type_name = float; log_n = 23; best_time = 8.8893400000e-03; best_desc = greedy_merged_recursive 9
+type_name = float; log_n = 24; best_time = 1.9483500000e-02; best_desc = greedy_merged_recursive 12
+type_name = float; log_n = 25; best_time = 4.5779600000e-02; best_desc = greedy_merged_recursive 7
+type_name = float; log_n = 26; best_time = 9.7643700000e-02; best_desc = greedy_merged_recursive 12
+type_name = float; log_n = 27; best_time = 2.1200800000e-01; best_desc = greedy_merged_recursive 12
+type_name = float; log_n = 28; best_time = 4.9995900000e-01; best_desc = greedy_merged_recursive 7
+type_name = float; log_n = 29; best_time = 1.0615600000e+00; best_desc = greedy_merged_recursive 12
+type_name = float; log_n = 30; best_time = 2.2532100000e+00; best_desc = greedy_merged_recursive 6
+type_name = double; log_n = 1; best_time = 3.8275100000e-08; best_desc = plain_unmerged
+type_name = double; log_n = 2; best_time = 4.1286300000e-08; best_desc = greedy_merged
+type_name = double; log_n = 3; best_time = 4.3412600000e-08; best_desc = greedy_merged
+type_name = double; log_n = 4; best_time = 4.5500500000e-08; best_desc = greedy_merged_recursive 4
+type_name = double; log_n = 5; best_time = 4.9231800000e-08; best_desc = greedy_merged
+type_name = double; log_n = 6; best_time = 6.2857100000e-08; best_desc = greedy_merged
+type_name = double; log_n = 7; best_time = 8.9013300000e-08; best_desc = greedy_merged
+type_name = double; log_n = 8; best_time = 1.4163900000e-07; best_desc = greedy_merged
+type_name = double; log_n = 9; best_time = 2.7611500000e-07; best_desc = greedy_merged
+type_name = double; log_n = 10; best_time = 5.2217100000e-07; best_desc = greedy_merged
+type_name = double; log_n = 11; best_time = 1.0466200000e-06; best_desc = greedy_merged
+type_name = double; log_n = 12; best_time = 2.3401300000e-06; best_desc = greedy_merged_recursive 11
+type_name = double; log_n = 13; best_time = 5.0560300000e-06; best_desc = greedy_merged_recursive 11
+type_name = double; log_n = 14; best_time = 1.1394900000e-05; best_desc = greedy_merged_recursive 12
+type_name = double; log_n = 15; best_time = 2.5470800000e-05; best_desc = greedy_merged_recursive 12
+type_name = double; log_n = 16; best_time = 5.7387600000e-05; best_desc = greedy_merged_recursive 11
+type_name = double; log_n = 17; best_time = 1.2497400000e-04; best_desc = greedy_merged_recursive 11
+type_name = double; log_n = 18; best_time = 2.6934700000e-04; best_desc = greedy_merged_recursive 12
+type_name = double; log_n = 19; best_time = 6.0233800000e-04; best_desc = greedy_merged_recursive 11
+type_name = double; log_n = 20; best_time = 1.3345100000e-03; best_desc = greedy_merged_recursive 9
+type_name = double; log_n = 21; best_time = 3.6883500000e-03; best_desc = greedy_merged_recursive 7
+type_name = double; log_n = 22; best_time = 8.6217800000e-03; best_desc = greedy_merged_recursive 11
+type_name = double; log_n = 23; best_time = 1.9016200000e-02; best_desc = greedy_merged_recursive 11
+type_name = double; log_n = 24; best_time = 4.5002100000e-02; best_desc = greedy_merged_recursive 10
+type_name = double; log_n = 25; best_time = 9.7061600000e-02; best_desc = greedy_merged_recursive 8
+type_name = double; log_n = 26; best_time = 2.1355500000e-01; best_desc = greedy_merged_recursive 11
+type_name = double; log_n = 27; best_time = 4.8974200000e-01; best_desc = greedy_merged_recursive 9
+type_name = double; log_n = 28; best_time = 1.0586200000e+00; best_desc = greedy_merged_recursive 11
+type_name = double; log_n = 29; best_time = 2.1763100000e+00; best_desc = greedy_merged_recursive 11
+type_name = double; log_n = 30; best_time = 4.8801600000e+00; best_desc = greedy_merged_recursive 9
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/hall_of_fame_neon.txt b/extension/llm/custom_ops/spinquant/third-party/FFHT/hall_of_fame_neon.txt
new file mode 100644
index 0000000000..547009956e
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/hall_of_fame_neon.txt
@@ -0,0 +1,30 @@
+type_name = float; log_n = 1; best_time = 4.1929000000e-08; best_desc = plain_unmerged
+type_name = float; log_n = 2; best_time = 4.1758100000e-08; best_desc = greedy_merged
+type_name = float; log_n = 3; best_time = 4.2130400000e-08; best_desc = greedy_merged_recursive 2
+type_name = float; log_n = 4; best_time = 4.1849300000e-08; best_desc = greedy_merged_recursive 3
+type_name = float; log_n = 5; best_time = 4.2931300000e-08; best_desc = greedy_merged_recursive 4
+type_name = float; log_n = 6; best_time = 4.5379000000e-08; best_desc = greedy_merged_recursive 3
+type_name = float; log_n = 7; best_time = 6.4887900000e-08; best_desc = greedy_merged_recursive 3
+type_name = float; log_n = 8; best_time = 1.0970500000e-07; best_desc = greedy_merged
+type_name = float; log_n = 9; best_time = 2.2306600000e-07; best_desc = greedy_merged_recursive 8
+type_name = float; log_n = 10; best_time = 4.4169300000e-07; best_desc = greedy_merged_recursive 8
+type_name = float; log_n = 11; best_time = 9.7532700000e-07; best_desc = greedy_merged_recursive 10
+type_name = float; log_n = 12; best_time = 1.9247200000e-06; best_desc = greedy_merged_recursive 10
+type_name = float; log_n = 13; best_time = 3.6199200000e-06; best_desc = greedy_merged
+type_name = float; log_n = 14; best_time = 8.4450100000e-06; best_desc = greedy_merged_recursive 10
+type_name = float; log_n = 15; best_time = 1.6781100000e-05; best_desc = greedy_merged_recursive 13
+type_name = float; log_n = 16; best_time = 3.7584000000e-05; best_desc = greedy_merged_recursive 15
+type_name = float; log_n = 17; best_time = 7.6645500000e-05; best_desc = greedy_merged_recursive 15
+type_name = float; log_n = 18; best_time = 1.7394400000e-04; best_desc = greedy_merged_recursive 17
+type_name = float; log_n = 19; best_time = 3.9186900000e-04; best_desc = greedy_merged_recursive 18
+type_name = float; log_n = 20; best_time = 8.0344800000e-04; best_desc = greedy_merged_recursive 18
+type_name = float; log_n = 21; best_time = 1.8539700000e-03; best_desc = greedy_merged_recursive 20
+type_name = float; log_n = 22; best_time = 3.6448200000e-03; best_desc = greedy_merged_recursive 20
+type_name = float; log_n = 23; best_time = 8.4403500000e-03; best_desc = greedy_merged_recursive 22
+type_name = float; log_n = 24; best_time = 1.8726400000e-02; best_desc = greedy_merged_recursive 23
+type_name = float; log_n = 25; best_time = 3.8848300000e-02; best_desc = greedy_merged_recursive 23
+type_name = float; log_n = 26; best_time = 8.6437100000e-02; best_desc = greedy_merged_recursive 25
+type_name = float; log_n = 27; best_time = 1.9369800000e-01; best_desc = greedy_merged_recursive 26
+type_name = float; log_n = 28; best_time = 3.9619200000e-01; best_desc = greedy_merged_recursive 26
+type_name = float; log_n = 29; best_time = 1.0401300000e+00; best_desc = greedy_merged_recursive 28
+type_name = float; log_n = 30; best_time = 2.0733800000e+00; best_desc = greedy_merged_recursive 29
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/hall_of_fame_sse.txt b/extension/llm/custom_ops/spinquant/third-party/FFHT/hall_of_fame_sse.txt
new file mode 100644
index 0000000000..67c1d5cfe0
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/hall_of_fame_sse.txt
@@ -0,0 +1,60 @@
+type_name = float; log_n = 1; best_time = 3.8234100000e-08; best_desc = plain_unmerged
+type_name = float; log_n = 2; best_time = 3.9592000000e-08; best_desc = greedy_merged
+type_name = float; log_n = 3; best_time = 4.2633300000e-08; best_desc = greedy_merged
+type_name = float; log_n = 4; best_time = 4.5965700000e-08; best_desc = greedy_merged
+type_name = float; log_n = 5; best_time = 5.2128100000e-08; best_desc = greedy_merged
+type_name = float; log_n = 6; best_time = 6.9547900000e-08; best_desc = greedy_merged
+type_name = float; log_n = 7; best_time = 1.0289400000e-07; best_desc = greedy_merged_recursive 7
+type_name = float; log_n = 8; best_time = 1.7410400000e-07; best_desc = greedy_merged
+type_name = float; log_n = 9; best_time = 3.5127900000e-07; best_desc = greedy_merged
+type_name = float; log_n = 10; best_time = 6.8896800000e-07; best_desc = greedy_merged
+type_name = float; log_n = 11; best_time = 1.3963700000e-06; best_desc = greedy_merged
+type_name = float; log_n = 12; best_time = 3.0889100000e-06; best_desc = greedy_merged_recursive 7
+type_name = float; log_n = 13; best_time = 6.3768900000e-06; best_desc = greedy_merged_recursive 11
+type_name = float; log_n = 14; best_time = 1.3732600000e-05; best_desc = greedy_merged_recursive 11
+type_name = float; log_n = 15; best_time = 2.8962800000e-05; best_desc = greedy_merged_recursive 13
+type_name = float; log_n = 16; best_time = 6.2055900000e-05; best_desc = greedy_merged_recursive 11
+type_name = float; log_n = 17; best_time = 1.3487500000e-04; best_desc = greedy_merged_recursive 11
+type_name = float; log_n = 18; best_time = 2.7989100000e-04; best_desc = greedy_merged_recursive 13
+type_name = float; log_n = 19; best_time = 5.9871200000e-04; best_desc = greedy_merged_recursive 13
+type_name = float; log_n = 20; best_time = 1.3111100000e-03; best_desc = greedy_merged_recursive 8
+type_name = float; log_n = 21; best_time = 2.7614800000e-03; best_desc = greedy_merged_recursive 13
+type_name = float; log_n = 22; best_time = 6.4353000000e-03; best_desc = greedy_merged_recursive 11
+type_name = float; log_n = 23; best_time = 1.4471700000e-02; best_desc = greedy_merged_recursive 6
+type_name = float; log_n = 24; best_time = 3.1766100000e-02; best_desc = greedy_merged_recursive 15
+type_name = float; log_n = 25; best_time = 6.9094300000e-02; best_desc = greedy_merged_recursive 8
+type_name = float; log_n = 26; best_time = 1.4882800000e-01; best_desc = greedy_merged_recursive 5
+type_name = float; log_n = 27; best_time = 3.1941300000e-01; best_desc = greedy_merged_recursive 12
+type_name = float; log_n = 28; best_time = 6.9037700000e-01; best_desc = greedy_merged_recursive 16
+type_name = float; log_n = 29; best_time = 1.4692400000e+00; best_desc = greedy_merged_recursive 12
+type_name = float; log_n = 30; best_time = 3.0698600000e+00; best_desc = greedy_merged_recursive 12
+type_name = double; log_n = 1; best_time = 3.8948100000e-08; best_desc = greedy_merged
+type_name = double; log_n = 2; best_time = 4.0811300000e-08; best_desc = greedy_merged_recursive 2
+type_name = double; log_n = 3; best_time = 4.3109200000e-08; best_desc = greedy_merged_recursive 3
+type_name = double; log_n = 4; best_time = 4.9621200000e-08; best_desc = greedy_merged
+type_name = double; log_n = 5; best_time = 6.3119400000e-08; best_desc = greedy_merged_recursive 2
+type_name = double; log_n = 6; best_time = 9.2256300000e-08; best_desc = greedy_merged
+type_name = double; log_n = 7; best_time = 1.5220200000e-07; best_desc = greedy_merged
+type_name = double; log_n = 8; best_time = 2.9771700000e-07; best_desc = greedy_merged_recursive 2
+type_name = double; log_n = 9; best_time = 6.0368400000e-07; best_desc = greedy_merged_recursive 6
+type_name = double; log_n = 10; best_time = 1.2246100000e-06; best_desc = greedy_merged_recursive 10
+type_name = double; log_n = 11; best_time = 2.6907000000e-06; best_desc = greedy_merged_recursive 2
+type_name = double; log_n = 12; best_time = 5.6900800000e-06; best_desc = greedy_merged_recursive 10
+type_name = double; log_n = 13; best_time = 1.2392900000e-05; best_desc = greedy_merged
+type_name = double; log_n = 14; best_time = 2.6329500000e-05; best_desc = greedy_merged_recursive 9
+type_name = double; log_n = 15; best_time = 5.6564400000e-05; best_desc = greedy_merged_recursive 10
+type_name = double; log_n = 16; best_time = 1.2357300000e-04; best_desc = greedy_merged_recursive 2
+type_name = double; log_n = 17; best_time = 2.5763800000e-04; best_desc = greedy_merged_recursive 12
+type_name = double; log_n = 18; best_time = 5.5563300000e-04; best_desc = greedy_merged_recursive 12
+type_name = double; log_n = 19; best_time = 1.2115600000e-03; best_desc = greedy_merged_recursive 2
+type_name = double; log_n = 20; best_time = 2.5899100000e-03; best_desc = greedy_merged_recursive 12
+type_name = double; log_n = 21; best_time = 6.0839900000e-03; best_desc = greedy_merged_recursive 13
+type_name = double; log_n = 22; best_time = 1.3738100000e-02; best_desc = greedy_merged_recursive 2
+type_name = double; log_n = 23; best_time = 3.0164700000e-02; best_desc = greedy_merged_recursive 2
+type_name = double; log_n = 24; best_time = 6.6689900000e-02; best_desc = greedy_merged_recursive 13
+type_name = double; log_n = 25; best_time = 1.4307200000e-01; best_desc = greedy_merged_recursive 10
+type_name = double; log_n = 26; best_time = 3.0875700000e-01; best_desc = greedy_merged_recursive 5
+type_name = double; log_n = 27; best_time = 6.7026700000e-01; best_desc = greedy_merged_recursive 6
+type_name = double; log_n = 28; best_time = 1.4210300000e+00; best_desc = greedy_merged_recursive 14
+type_name = double; log_n = 29; best_time = 3.0175300000e+00; best_desc = greedy_merged_recursive 9
+type_name = double; log_n = 30; best_time = 6.4575800000e+00; best_desc = greedy_merged_recursive 3
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/measurements/Makefile b/extension/llm/custom_ops/spinquant/third-party/FFHT/measurements/Makefile
new file mode 100644
index 0000000000..807d5fe626
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/measurements/Makefile
@@ -0,0 +1,13 @@
+CXX=g++
+CXX_FLAGS=-O3 -Wall -march=native -std=c++11 `pkg-config benchmark --cflags --libs` -lpthread
+
+.PHONY: run_float run_double clean
+
+run_float:
+	$(CXX) run_float.cpp -o run_float $(CXX_FLAGS)
+
+run_double:
+	$(CXX) run_double.cpp -o run_double $(CXX_FLAGS)
+
+clean:
+	rm -rf run_float run_double
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/measurements/run_double.cpp b/extension/llm/custom_ops/spinquant/third-party/FFHT/measurements/run_double.cpp
new file mode 100644
index 0000000000..711456a1f7
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/measurements/run_double.cpp
@@ -0,0 +1,27 @@
+#include "to_run.h"
+
+#include <benchmark/benchmark.h>
+
+#include <chrono>
+#include <stdexcept>
+
+#include <cstdlib>
+
+static void benchmark_fht(benchmark::State &state) {
+  double *buf;
+  if (posix_memalign((void**)&buf, 32, sizeof(double) * (1 << log_n))) {
+    throw std::runtime_error("posix_memalign failed");
+  }
+  while (state.KeepRunning()) {
+    auto start = std::chrono::high_resolution_clock::now();
+    run(buf);
+    auto end = std::chrono::high_resolution_clock::now();
+    auto elapsed_seconds = std::chrono::duration_cast<std::chrono::duration<double>>(end - start);
+    state.SetIterationTime(elapsed_seconds.count());
+  }
+  free(buf);
+}
+
+BENCHMARK(benchmark_fht);
+
+BENCHMARK_MAIN();
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/measurements/run_float.cpp b/extension/llm/custom_ops/spinquant/third-party/FFHT/measurements/run_float.cpp
new file mode 100644
index 0000000000..d84159d6ca
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/measurements/run_float.cpp
@@ -0,0 +1,27 @@
+#include "to_run.h"
+
+#include <benchmark/benchmark.h>
+
+#include <chrono>
+#include <stdexcept>
+
+#include <cstdlib>
+
+static void benchmark_fht(benchmark::State &state) {
+  float *buf;
+  if (posix_memalign((void**)&buf, 32, sizeof(float) * (1 << log_n))) {
+    throw std::runtime_error("posix_memalign failed");
+  }
+  while (state.KeepRunning()) {
+    auto start = std::chrono::high_resolution_clock::now();
+    run(buf);
+    auto end = std::chrono::high_resolution_clock::now();
+    auto elapsed_seconds = std::chrono::duration_cast<std::chrono::duration<double>>(end - start);
+    state.SetIterationTime(elapsed_seconds.count());
+  }
+  free(buf);
+}
+
+BENCHMARK(benchmark_fht);
+
+BENCHMARK_MAIN();
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/targets.bzl b/extension/llm/custom_ops/spinquant/third-party/FFHT/targets.bzl
new file mode 100644
index 0000000000..9ba0ae32fb
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/targets.bzl
@@ -0,0 +1,34 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+    runtime.cxx_library(
+        name = "dumb_fht",
+        srcs = ["dumb_fht.c"],
+        exported_headers = ["dumb_fht.h"],
+        visibility = ["@EXECUTORCH_CLIENTS"],
+    )
+
+    runtime.cxx_library(
+        name = "fht",
+        srcs = select({
+            "DEFAULT": [],
+            "ovr_config//cpu:arm64": ["fht_neon.c"],
+            "ovr_config//cpu:x86_64": ["fht_avx.c"],
+        }),
+        exported_headers = ["fht.h"],
+        visibility = ["@EXECUTORCH_CLIENTS"],
+    )
+
+    runtime.cxx_binary(
+        name = "test_float",
+        srcs = ["test_float.c"],
+        deps = [
+            ":dumb_fht",
+            ":fht",
+        ],
+    )
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/test_double.c b/extension/llm/custom_ops/spinquant/third-party/FFHT/test_double.c
new file mode 100644
index 0000000000..f532ae6e2f
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/test_double.c
@@ -0,0 +1,68 @@
+#include <math.h>
+#include <stdio.h>
+#include <stdlib.h>
+#include <time.h>
+
+#include "fht.h"
+
+void dumb_fht(double *buf, int log_n);
+void dumb_fht(double *buf, int log_n) {
+    int n = 1 << log_n;
+    for (int i = 0; i < log_n; ++i) {
+        int s1 = 1 << i;
+        int s2 = s1 << 1;
+        for (int j = 0; j < n; j += s2) {
+            for (int k = 0; k < s1; ++k) {
+                double u = buf[j + k];
+                double v = buf[j + k + s1];
+                buf[j + k] = u + v;
+                buf[j + k + s1] = u - v;
+            }
+        }
+    }
+}
+
+int main(void) {
+    srand(4057218);
+    for (int log_n = 1; log_n <= 30; ++log_n) {
+        printf("%d ", log_n);
+        int n = 1 << log_n;
+        void *buf = malloc(sizeof(double) * n + 32);
+        char *start = buf;
+        while ((size_t)start % 32 != 0) start = start + 1;
+        double *a = (double*)start;
+        double *aux = (double*)malloc(sizeof(double) * n);
+        for (int i = 0; i < n; ++i) {
+            a[i] = 1.0 - 2.0 * (rand() & 1);
+            aux[i] = a[i];
+        }
+        fht_double(a, log_n);
+        dumb_fht(aux, log_n);
+        double max_error = 0.0;
+        for (int i = 0; i < n; ++i) {
+            double error = fabs(a[i] - aux[i]);
+            if (error > max_error) {
+                max_error = error;
+            }
+        }
+        if (max_error > 1e-5) {
+            printf("ERROR: %.10lf\n", max_error);
+            return 1;
+        }
+        for (int num_it = 10;; num_it *= 2) {
+            clock_t tt1 = clock();
+            for (int it = 0; it < num_it; ++it) {
+                fht_double(a, log_n);
+            }
+            clock_t tt2 = clock();
+            double sec = (tt2 - tt1) / (CLOCKS_PER_SEC + 0.0);
+            if (sec >= 1.0) {
+                printf("%.10e\n", sec / (num_it + 0.0));
+                break;
+            }
+        }
+        free(buf);
+        free(aux);
+    }
+    return 0;
+}
diff --git a/extension/llm/custom_ops/spinquant/third-party/FFHT/test_float.c b/extension/llm/custom_ops/spinquant/third-party/FFHT/test_float.c
new file mode 100644
index 0000000000..4e39d6aff4
--- /dev/null
+++ b/extension/llm/custom_ops/spinquant/third-party/FFHT/test_float.c
@@ -0,0 +1,53 @@
+#include <math.h>
+#include <stdio.h>
+#include <stdlib.h>
+#include <time.h>
+
+#include "dumb_fht.h"
+#include "fht.h"
+
+int main(void) {
+  srand(4057218);
+  for (int log_n = 1; log_n <= 30; ++log_n) {
+    printf("%d ", log_n);
+    int n = 1 << log_n;
+    void* buf = malloc(sizeof(float) * n + 32);
+    char* start = buf;
+    while ((size_t)start % 32 != 0)
+      start = start + 1;
+    float* a = (float*)start;
+    float* aux = (float*)malloc(sizeof(double) * n);
+    for (int i = 0; i < n; ++i) {
+      a[i] = 1.0 - 2.0 * (rand() & 1);
+      aux[i] = a[i];
+    }
+    fht_float(a, log_n);
+    dumb_fht(aux, log_n);
+    double max_error = 0.0;
+    for (int i = 0; i < n; ++i) {
+      double error = fabs(a[i] - aux[i]);
+      if (error > max_error) {
+        max_error = error;
+      }
+    }
+    if (max_error > 1e-5) {
+      printf("ERROR: %.10lf\n", max_error);
+      return 1;
+    }
+    for (int num_it = 10;; num_it *= 2) {
+      clock_t tt1 = clock();
+      for (int it = 0; it < num_it; ++it) {
+        fht_float(a, log_n);
+      }
+      clock_t tt2 = clock();
+      double sec = (tt2 - tt1) / (CLOCKS_PER_SEC + 0.0);
+      if (sec >= 1.0) {
+        printf("%.10e\n", sec / (num_it + 0.0));
+        break;
+      }
+    }
+    free(buf);
+    free(aux);
+  }
+  return 0;
+}
diff --git a/extension/llm/custom_ops/targets.bzl b/extension/llm/custom_ops/targets.bzl
new file mode 100644
index 0000000000..488f214e2b
--- /dev/null
+++ b/extension/llm/custom_ops/targets.bzl
@@ -0,0 +1,156 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+    for mkl_dep in ["", "_mkl_noomp"]:
+        runtime.cxx_library(
+            name = "custom_ops" + mkl_dep,
+            srcs = [
+                "op_fallback.cpp",
+                "op_fast_hadamard_transform.cpp",
+                "op_sdpa.cpp",
+            ],
+            exported_headers = [
+                "op_fallback.h",
+                "op_fast_hadamard_transform.h",
+                "op_sdpa.h",
+            ],
+            exported_deps = [
+                "//executorch/runtime/kernel:kernel_includes",
+                "//executorch/kernels/portable/cpu:scalar_utils",
+                "//executorch/kernels/optimized:libblas{}".format(mkl_dep),
+                "//executorch/kernels/optimized:libvec",
+                "//executorch/extension/kernel_util:kernel_util",
+                "//executorch/extension/parallel:thread_parallel",
+                "//executorch/extension/threadpool:threadpool",
+            ],
+            deps = [
+                "//executorch/kernels/portable/cpu/util:reduce_util",
+                "//executorch/extension/llm/custom_ops/spinquant:fast_hadamard_transform",
+            ],
+            compiler_flags = ["-Wno-missing-prototypes", "-Wno-global-constructors"],
+            visibility = [
+                "//executorch/...",
+                "//executorch/extension/llm/custom_ops/...",
+                "@EXECUTORCH_CLIENTS",
+            ],
+            # @lint-ignore BUCKLINT link_whole
+            link_whole = True,
+            force_static = True,
+        )
+
+        runtime.cxx_library(
+            name = "custom_ops_aot_lib" + mkl_dep,
+            srcs = [
+                "op_fast_hadamard_transform_aten.cpp",
+                "op_sdpa_aot.cpp",
+                "op_tile_crop.cpp",
+                "op_tile_crop_aot.cpp",
+            ],
+            headers = ["op_tile_crop.h"],
+            compiler_flags = ["-Wno-global-constructors"],
+            visibility = [
+                "//executorch/...",
+                "@EXECUTORCH_CLIENTS",
+            ],
+            external_deps = [
+                "libtorch",
+            ],
+            deps = [
+                ":custom_ops" + mkl_dep,
+                "//executorch/extension/aten_util:aten_bridge",
+            ],
+        )
+
+    runtime.python_library(
+        name = "custom_ops_aot_py",
+        srcs = [
+            "sdpa_with_kv_cache.py",
+        ],
+        visibility = [
+            "//executorch/...",
+            "@EXECUTORCH_CLIENTS",
+        ],
+        deps = [
+            "//caffe2:torch",
+        ],
+    )
+
+    runtime.cxx_test(
+        name = "op_sdpa_test",
+        srcs = [
+            "op_sdpa_test.cpp",
+        ],
+        visibility = ["//executorch/..."],
+        deps = [
+            "//executorch/runtime/core/exec_aten:lib",
+            "//executorch/runtime/core/exec_aten/testing_util:tensor_util",
+            "//executorch/kernels/test:test_util",
+            ":custom_ops",
+        ],
+    )
+
+    runtime.cxx_test(
+        name = "op_sdpa_with_kv_cache_test",
+        srcs = [
+            "op_sdpa_with_kv_cache_test.cpp",
+        ],
+        visibility = ["//executorch/..."],
+        deps = [
+            "//executorch/runtime/core/exec_aten:lib",
+            "//executorch/runtime/core/exec_aten/testing_util:tensor_util",
+            "//executorch/kernels/test:test_util",
+            ":custom_ops",
+        ],
+    )
+
+    ## For preprocess
+    runtime.python_library(
+        name = "preprocess_custom_ops_py",
+        srcs = [
+            "preprocess_custom_ops.py",
+        ],
+        visibility = [
+            "//executorch/...",
+            "@EXECUTORCH_CLIENTS",
+        ],
+        deps = [
+            "//caffe2:torch",
+        ],
+    )
+
+    runtime.cxx_library(
+        name = "op_tile_crop",
+        srcs = ["op_tile_crop.cpp"],
+        exported_headers = ["op_tile_crop.h"],
+        exported_deps = [
+            "//executorch/runtime/kernel:kernel_includes",
+            "//executorch/extension/kernel_util:kernel_util",
+        ],
+        compiler_flags = ["-Wno-missing-prototypes", "-Wno-global-constructors"],
+        visibility = [
+            "//executorch/...",
+            "@EXECUTORCH_CLIENTS",
+        ],
+        # @lint-ignore BUCKLINT link_whole
+        link_whole = True,
+        force_static = True,
+    )
+
+    runtime.cxx_test(
+        name = "op_tile_crop_test",
+        srcs = [
+            "op_tile_crop_test.cpp",
+        ],
+        visibility = ["//executorch/..."],
+        deps = [
+            "//executorch/runtime/core/exec_aten:lib",
+            "//executorch/runtime/core/exec_aten/testing_util:tensor_util",
+            "//executorch/kernels/test:test_util",
+            ":op_tile_crop",
+        ],
+    )
diff --git a/extension/llm/custom_ops/test_preprocess_custom_ops.py b/extension/llm/custom_ops/test_preprocess_custom_ops.py
new file mode 100644
index 0000000000..c3922782ea
--- /dev/null
+++ b/extension/llm/custom_ops/test_preprocess_custom_ops.py
@@ -0,0 +1,34 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+
+import unittest
+from typing import Tuple
+
+import torch
+
+from .preprocess_custom_ops import preprocess_op_lib  # noqa
+
+
+class PreprocessTest(unittest.TestCase):
+
+    def setUp(self):
+        # tile_crop
+        self.tile_size = 224
+
+    def _test_tile_crop(self, image: torch.Tensor, expected_shape: Tuple[int]) -> None:
+        output = torch.ops.preprocess.tile_crop.default(image, self.tile_size)
+        self.assertTrue(output.shape == expected_shape)
+
+    def test_op_tile_crop_2x2(self):
+        self._test_tile_crop(torch.ones(3, 448, 448), (4, 3, 224, 224))
+
+    def test_op_tile_crop_1x3(self):
+        self._test_tile_crop(torch.ones(3, 224, 672), (3, 3, 224, 224))
+
+    def test_op_tile_crop_4x2(self):
+        self._test_tile_crop(torch.ones(3, 896, 448), (8, 3, 224, 224))
diff --git a/examples/models/llama2/custom_ops/test_sdpa_with_kv_cache.py b/extension/llm/custom_ops/test_sdpa_with_kv_cache.py
similarity index 85%
rename from examples/models/llama2/custom_ops/test_sdpa_with_kv_cache.py
rename to extension/llm/custom_ops/test_sdpa_with_kv_cache.py
index 1309cc65ba..bfd64cb897 100644
--- a/examples/models/llama2/custom_ops/test_sdpa_with_kv_cache.py
+++ b/extension/llm/custom_ops/test_sdpa_with_kv_cache.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import unittest
 
 import torch
@@ -371,10 +373,10 @@ class SDPATestCommon(unittest.TestCase):
 
     def setup_caches(self):
         self.k_cache = torch.zeros(
-            (1, self.max_seq_len, self.n_heads_kv, self.head_dim)
+            (self.n_batch, self.max_seq_len, self.n_heads_kv, self.head_dim)
         )
         self.v_cache = torch.zeros(
-            (1, self.max_seq_len, self.n_heads_kv, self.head_dim)
+            (self.n_batch, self.max_seq_len, self.n_heads_kv, self.head_dim)
         )
         self.mask = torch.full(
             (self.max_seq_len, self.max_seq_len),
@@ -384,23 +386,57 @@ def setup_caches(self):
 
     def setUp(self):
         torch.manual_seed(42)
+        self.n_batch = 5
         self.n_heads_kv = 32
         self.n_heads_q = 32
         self.head_dim = 128
         self.max_seq_len = 2048
         self.setup_caches()
 
+    def _scale_tensor(self, tensor, min_value, max_value, scale=True):
+        normalized_tensor = (tensor - tensor.min()) / (tensor.max() - tensor.min())
+
+        scaled_tensor = normalized_tensor * (max_value - min_value) + min_value
+
+        return scaled_tensor if scale else tensor
+
     def _test_sdpa_common(
-        self, n_heads_kv, n_heads_q, head_dim, max_seq_len, seq_len, next_iter_seq_len=1
+        self,
+        n_heads_kv,
+        n_heads_q,
+        head_dim,
+        max_seq_len,
+        seq_len,
+        next_iter_seq_len=1,
+        scale_tensors=False,
     ):
+        # Range arbitrarily chosen to reproduce a numerical error on x86 in some of the long context tests
+        tensor_scale_max = 15
+        tensor_scale_min = -15
         self.n_heads_kv = n_heads_kv
         self.n_heads_q = n_heads_q
         self.head_dim = head_dim
         self.max_seq_len = max_seq_len
         self.setup_caches()
-        q = torch.rand((1, seq_len, self.n_heads_kv, self.head_dim))
-        k = torch.rand((1, seq_len, self.n_heads_kv, self.head_dim))
-        v = torch.rand((1, seq_len, self.n_heads_kv, self.head_dim))
+        q = self._scale_tensor(
+            torch.rand((self.n_batch, seq_len, self.n_heads_kv, self.head_dim)),
+            tensor_scale_max,
+            tensor_scale_min,
+            scale_tensors,
+        )
+        k = self._scale_tensor(
+            torch.rand((self.n_batch, seq_len, self.n_heads_kv, self.head_dim)),
+            tensor_scale_max,
+            tensor_scale_min,
+            scale_tensors,
+        )
+        v = self._scale_tensor(
+            torch.rand((self.n_batch, seq_len, self.n_heads_kv, self.head_dim)),
+            tensor_scale_max,
+            tensor_scale_min,
+            scale_tensors,
+        )
+
         start_pos = 0
         attn_mask = self.mask[start_pos : start_pos + seq_len, :]
         attn_mask = attn_mask[:, : start_pos + seq_len]
@@ -410,11 +446,33 @@ def _test_sdpa_common(
         op_output = torch.ops.llama.sdpa_with_kv_cache(
             q, k, v, self.k_cache, self.v_cache, start_pos, seq_len, None, 0, True
         )
-        self.assertTrue(torch.allclose(ref_output, op_output))
+        self.assertTrue(torch.allclose(ref_output, op_output, atol=1e-6))
+
+        q = self._scale_tensor(
+            torch.rand(
+                (self.n_batch, next_iter_seq_len, self.n_heads_kv, self.head_dim)
+            ),
+            tensor_scale_max,
+            tensor_scale_min,
+            scale_tensors,
+        )
+        k = self._scale_tensor(
+            torch.rand(
+                (self.n_batch, next_iter_seq_len, self.n_heads_kv, self.head_dim)
+            ),
+            tensor_scale_max,
+            tensor_scale_min,
+            scale_tensors,
+        )
+        v = self._scale_tensor(
+            torch.rand(
+                (self.n_batch, next_iter_seq_len, self.n_heads_kv, self.head_dim)
+            ),
+            tensor_scale_max,
+            tensor_scale_min,
+            scale_tensors,
+        )
 
-        q = torch.rand((1, next_iter_seq_len, self.n_heads_kv, self.head_dim))
-        k = torch.rand((1, next_iter_seq_len, self.n_heads_kv, self.head_dim))
-        v = torch.rand((1, next_iter_seq_len, self.n_heads_kv, self.head_dim))
         start_pos = seq_len
         seq_len = q.size(1)
         attn_mask = self.mask[start_pos : start_pos + seq_len, :]
@@ -425,7 +483,7 @@ def _test_sdpa_common(
         op_output = torch.ops.llama.sdpa_with_kv_cache(
             q, k, v, self.k_cache, self.v_cache, start_pos, seq_len, None, 0, True
         )
-        self.assertTrue(torch.allclose(ref_output, op_output))
+        self.assertTrue(torch.allclose(ref_output, op_output, atol=1e-6))
 
 
 class SDPATestForLargeSeqLength(SDPATestCommon):
@@ -436,7 +494,9 @@ def test_sdpa_with_cache_seq_len_130(self):
         head_dim = 128
         max_seq_len = 2048
         seq_len = 130
-        self._test_sdpa_common(n_heads_kv, n_heads_q, head_dim, max_seq_len, seq_len)
+        self._test_sdpa_common(
+            n_heads_kv, n_heads_q, head_dim, max_seq_len, seq_len, True
+        )
 
     def test_sdpa_with_cache_seq_len_small(self):
         n_heads_kv = 4
@@ -460,7 +520,9 @@ def test_sdpa_with_cache_seq_len_130_gqa(self):
         head_dim = 128
         max_seq_len = 2048
         seq_len = 130
-        self._test_sdpa_common(n_heads_kv, n_heads_q, head_dim, max_seq_len, seq_len)
+        self._test_sdpa_common(
+            n_heads_kv, n_heads_q, head_dim, max_seq_len, seq_len, True
+        )
 
     def test_sdpa_with_cache_seq_len_llava_example_gqa(self):
         n_heads_kv = 16
@@ -481,7 +543,13 @@ def test_sdpa_with_cache_seq_len_130(self):
         seq_len = 130
         next_iter_seq_len = 17
         self._test_sdpa_common(
-            n_heads_kv, n_heads_q, head_dim, max_seq_len, seq_len, next_iter_seq_len
+            n_heads_kv,
+            n_heads_q,
+            head_dim,
+            max_seq_len,
+            seq_len,
+            next_iter_seq_len,
+            True,
         )
 
     def test_sdpa_with_cache_seq_len_llava_example(self):
@@ -503,7 +571,13 @@ def test_sdpa_with_cache_seq_len_130_gqa(self):
         seq_len = 130
         next_iter_seq_len = 33
         self._test_sdpa_common(
-            n_heads_kv, n_heads_q, head_dim, max_seq_len, seq_len, next_iter_seq_len
+            n_heads_kv,
+            n_heads_q,
+            head_dim,
+            max_seq_len,
+            seq_len,
+            next_iter_seq_len,
+            True,
         )
 
     def test_sdpa_with_cache_seq_len_llava_example_gqa(self):
diff --git a/extension/llm/export/TARGETS b/extension/llm/export/TARGETS
index 75f5cf937e..be9bc183db 100644
--- a/extension/llm/export/TARGETS
+++ b/extension/llm/export/TARGETS
@@ -33,5 +33,6 @@ runtime.python_library(
         "//executorch/exir:lib",
         "//executorch/exir/backend:backend_details",
         "//executorch/extension/export_util:export_util",
+        "//executorch/extension/llm/tokenizer:tokenizer_py_lib",
     ],
 )
diff --git a/extension/llm/export/builder.py b/extension/llm/export/builder.py
index 264e1e95ad..91ee2dc733 100644
--- a/extension/llm/export/builder.py
+++ b/extension/llm/export/builder.py
@@ -16,6 +16,7 @@
 from executorch.backends.transforms.duplicate_dynamic_quant_chain import (
     DuplicateDynamicQuantChainPass,
 )
+from executorch.backends.xnnpack.passes.convert_to_linear import ConvertToLinearPass
 from executorch.exir import EdgeProgramManager
 from executorch.exir.backend.partitioner import Partitioner
 
@@ -27,6 +28,7 @@
 from executorch.exir.passes.sym_shape_eval_pass import ConstraintBasedSymShapeEvalPass
 
 from executorch.extension.export_util.utils import export_to_edge, save_pte_program
+from executorch.extension.llm.tokenizer.utils import get_tokenizer
 from torch._export import capture_pre_autograd_graph
 from torch.ao.quantization.quantize_pt2e import convert_pt2e, prepare_pt2e
 from torch.ao.quantization.quantizer import Quantizer
@@ -46,6 +48,7 @@ def to_torch_dtype(self) -> torch.dtype:
         mapping = {
             DType.fp32: torch.float32,
             DType.fp16: torch.float16,
+            DType.bf16: torch.bfloat16,
         }
         if self not in mapping:
             raise ValueError(f"Unsupported dtype {self}")
@@ -65,7 +68,14 @@ def __init__(
         dtype,
         use_kv_cache,
         example_inputs,
+        args: Optional[Any] = None,
         enable_dynamic_shape: bool = False,
+        generate_full_logits: bool = False,
+        calibration_tasks: Optional[List[str]] = None,
+        calibration_limit: Optional[int] = None,
+        calibration_seq_length: Optional[int] = None,
+        calibration_data: Optional[str] = None,
+        tokenizer_path: Optional[str] = None,
         verbose: bool = False,
         metadata: Optional[dict] = None,
         dynamic_shapes: Optional[Any] = None,
@@ -78,6 +88,7 @@ def __init__(
         self.dtype = dtype
         self.example_inputs = example_inputs
         self.use_kv_cache = use_kv_cache
+        self.generate_full_logits = generate_full_logits
         self.enable_dynamic_shape = enable_dynamic_shape
         self.verbose = verbose
         self.metadata = metadata
@@ -87,6 +98,12 @@ def __init__(
         self.output_dir = "."
         self.dynamic_shapes = dynamic_shapes
         self._saved_pte_filename = None
+        self.args = args
+        self.calibration_tasks = calibration_tasks
+        self.calibration_limit = calibration_limit
+        self.calibration_seq_length = calibration_seq_length
+        self.calibration_data = calibration_data
+        self.tokenizer_path = tokenizer_path
 
     def set_output_dir(self, output_dir: str) -> "LLMEdgeManager":
         """
@@ -161,11 +178,92 @@ def capture_pre_autograd_graph(self) -> "LLMEdgeManager":
         # 1. torch.nn.attention.sdpa_kernel([SDPBackend.MATH]) is for bypassing the dynamo error when tracing
         # 2. torch.no_grad() is for getting rid of the dropout (not sure why training ops will show up)
         with torch.nn.attention.sdpa_kernel([SDPBackend.MATH]), torch.no_grad():
-            self.pre_autograd_graph_module = capture_pre_autograd_graph(
-                self.model, self.example_inputs, dynamic_shapes=dynamic_shape
-            )
+            # pyre-fixme[8]
+            if hasattr(self.args, "qnn") and self.args.qnn:
+                # TODO: this is temporary and export_for_training doesn't work with qnn either. We need a
+                # functional graph. See issue https://github.com/pytorch/executorch/pull/4627 for more details
+                self.pre_autograd_graph_module = torch.export.export(
+                    self.model,
+                    self.example_inputs,
+                    dynamic_shapes=dynamic_shape,
+                    strict=True,
+                ).module()
+            else:
+                self.pre_autograd_graph_module = capture_pre_autograd_graph(
+                    self.model, self.example_inputs, dynamic_shapes=dynamic_shape
+                )
+
         return self
 
+    def pt2e_calibrate(
+        self,
+        prepared_module,
+        calibration_tasks,
+        calibration_limit,
+        calibration_seq_length,
+        calibration_data,
+        tokenizer_path,
+    ):
+        logging.info("Run calibration...")
+        try:
+            from executorch.examples.models.llama2.eval_llama_lib import (
+                GraphModuleEvalWrapper,
+            )
+            from executorch.examples.models.llama2.evaluate import evaluate_model
+        except ImportError:
+            raise ImportError(
+                "Please install the llm eval dependency via examples/models/llama2/install_requirements.sh"
+            )
+
+        tokenizer = get_tokenizer(tokenizer_path)
+
+        def calibrate_template(
+            module: torch.fx.GraphModule, tokenizer, prompts: str, max_len: int
+        ):
+            # TODO: change criteria & support batch inputs if necessary
+            pos = torch.tensor(0, dtype=torch.int64)
+            token_list = tokenizer.encode(prompts, bos=True, eos=False)
+
+            with torch.no_grad():
+                while token_list[-1] != tokenizer.eos_id and pos < max_len:
+                    logits = module(
+                        torch.full((1, 1), token_list[pos]),
+                        torch.tensor((pos,)),
+                    )
+                    pos += 1
+                    if pos >= len(token_list):
+                        if self.generate_full_logits:
+                            token_list.append(
+                                torch.argmax(logits[:, -1], dim=-1).item()
+                            )
+                        else:
+                            token_list.append(torch.argmax(logits[:], dim=-1).item())
+
+        calibrate_template(
+            module=prepared_module,
+            tokenizer=tokenizer,
+            prompts=calibration_data,
+            max_len=calibration_seq_length,
+        )
+
+        eval_wrapper = GraphModuleEvalWrapper(
+            model=prepared_module,
+            tokenizer=tokenizer,
+            max_seq_length=calibration_seq_length,
+            use_kv_cache=self.use_kv_cache,
+            generate_full_logits=self.generate_full_logits,
+            enable_dynamic_shape=self.enable_dynamic_shape,
+        )
+        eval_results = evaluate_model(
+            eval_wrapper,
+            calibration_tasks,
+            calibration_limit,
+        )
+
+        for task, res in eval_results["results"].items():
+            print(f"{task}: {res}")
+        logging.info("Calibration finish...")
+
     def pt2e_quantize(self, quantizers: Optional[List[Quantizer]]) -> "LLMEdgeManager":
         """
         Quantize the model via pt2e flow and retrieve LLMEdgeManager including the quantized model.
@@ -188,8 +286,33 @@ def pt2e_quantize(self, quantizers: Optional[List[Quantizer]]) -> "LLMEdgeManage
                     self.pre_autograd_graph_module is not None
                 ), "Please run capture_pre_autograd_graph first"
                 m = prepare_pt2e(self.pre_autograd_graph_module, composed_quantizer)
+                logging.info(
+                    f"Calibrating with tasks: {self.calibration_tasks}, limit: {self.calibration_limit}, calibration_data: {self.calibration_data}, tokenizer_path: {self.tokenizer_path}, seq_length: {self.calibration_seq_length}"
+                )
                 # Calibrate
-                m(*self.example_inputs)
+                if (
+                    self.calibration_tasks is not None
+                    and self.calibration_limit is not None
+                    and self.calibration_seq_length is not None
+                    and self.calibration_data is not None
+                    and self.tokenizer_path is not None
+                ):
+                    logging.info(
+                        f"Calibrating with tasks: {self.calibration_tasks}, limit: {self.calibration_limit}, calibration_data: {self.calibration_data}, tokenizer_path: {self.tokenizer_path}, seq_length: {self.calibration_seq_length}"
+                    )
+                    self.pt2e_calibrate(
+                        prepared_module=m,
+                        calibration_tasks=self.calibration_tasks,
+                        calibration_limit=self.calibration_limit,
+                        calibration_seq_length=self.calibration_seq_length,
+                        calibration_data=self.calibration_data,
+                        tokenizer_path=self.tokenizer_path,
+                    )
+                else:
+                    logging.info(
+                        "No calibration provided, using dummy input to calibrate..."
+                    )
+                    m(*self.example_inputs)
                 m = convert_pt2e(m)
                 DuplicateDynamicQuantChainPass()(m)
                 self.pre_autograd_graph_module = m
@@ -209,11 +332,10 @@ def export_to_edge(self) -> "LLMEdgeManager":
         # 2. torch.no_grad() is for getting rid of the dropout (not sure why training ops will show up)
         with torch.nn.attention.sdpa_kernel([SDPBackend.MATH]), torch.no_grad():
             if self.pre_autograd_graph_module is None:
-                self.pre_autograd_graph_module = capture_pre_autograd_graph(
-                    self.model, self.example_inputs, dynamic_shapes=dynamic_shape
-                )
+                # Run capture_pre_autograd_graph if it didn't run
+                self.capture_pre_autograd_graph()
             self.edge_manager = export_to_edge(
-                self.pre_autograd_graph_module,
+                self.pre_autograd_graph_module,  # pyre-fixme[6]
                 self.example_inputs,
                 dynamic_shapes=dynamic_shape,
                 edge_constant_methods=self.metadata,
@@ -227,7 +349,7 @@ def to_backend(self, partitioners: Optional[List[Partitioner]]) -> "LLMEdgeManag
         Partition the model and lower to different backends. The signature is
         aligned with the signature of `to_backend` method of EdgeManager.
         Args:
-            partitioner (Optional[Partitioner]): One or more
+            partitioners (Optional[List[Partitioner]]): One or more
                 partitioner to be sent to EdgeManager.to_backend().
         """
         if partitioners is None:
@@ -259,14 +381,15 @@ def to_executorch(self) -> "LLMEdgeManager":
         assert self.edge_manager, "Need to run export_to_edge() first"
         self.export_program = self.edge_manager.to_executorch(
             ExecutorchBackendConfig(
-                extract_constant_segment=True,
                 extract_delegate_segments=True,
                 passes=[
+                    # If there are Linear operations left in the graph, let's execute
+                    # them with the optimized op_linear rather than materializing a
+                    # transpose followed by a regular op_mm.
+                    ConvertToLinearPass(),
                     QuantFusionPass(),
                 ],
-                memory_planning_pass=MemoryPlanningPass(
-                    "greedy", alloc_graph_input=False
-                ),
+                memory_planning_pass=MemoryPlanningPass(alloc_graph_input=False),
                 sym_shape_eval_pass=ConstraintBasedSymShapeEvalPass(),
             )
         )
diff --git a/extension/llm/export/partitioner_lib.py b/extension/llm/export/partitioner_lib.py
index e8f32e4b47..bba16dd8a4 100644
--- a/extension/llm/export/partitioner_lib.py
+++ b/extension/llm/export/partitioner_lib.py
@@ -52,13 +52,15 @@ def get_mps_partitioner(use_kv_cache: bool = False):
         )
 
     compile_specs = [CompileSpec("use_fp16", bytes([True]))]
-    return MPSPartitioner(compile_specs)
+    return MPSPartitioner(compile_specs)  # pyre-fixme[16]
 
 
-def get_coreml_partitioner(use_kv_cache: bool = False):
-    assert (
-        use_kv_cache is True
-    ), "CoreML backend currently only supports static shape and use_kv_cache=True is the only way to support it at the moment"
+def get_coreml_partitioner(
+    ios: int = 15,
+    embedding_quantize: Optional[str] = None,
+    pt2e_quantize: Optional[str] = None,
+    coreml_quantize: Optional[str] = None,
+):
     try:
         import coremltools as ct
         from executorch.backends.apple.coreml.compiler import (  # pyre-ignore
@@ -72,19 +74,73 @@ def get_coreml_partitioner(use_kv_cache: bool = False):
             "Please install the CoreML backend follwing https://pytorch.org/executorch/main/build-run-coreml.html"
         )
 
-    compile_specs = CoreMLBackend.generate_compile_specs(
+    def _validate_ios_version() -> None:
+        assert ios in (15, 16, 17, 18)
+
+        if embedding_quantize is not None and ios < 18:
+            raise ValueError(
+                "In Core ML, per-block quantization is introduced in iOS 18"
+            )
+
+        use_quantization = pt2e_quantize is not None or coreml_quantize is not None
+        if use_quantization and ios < 16:
+            raise ValueError("In Core ML, quantization is introduced in iOS 16")
+
+        use_8a = (pt2e_quantize is not None and "8a" in pt2e_quantize) or (
+            coreml_quantize is not None and "8a" in coreml_quantize
+        )
+        if use_8a and ios < 17:
+            raise ValueError(
+                "In Core ML, 8-bit activation quantization is introduced in iOS 17"
+            )
+
+        use_4w = (pt2e_quantize is not None and "4w" in pt2e_quantize) or (
+            coreml_quantize is not None and "4w" in coreml_quantize
+        )
+        if use_4w and ios < 18:
+            raise ValueError(
+                "In Core ML, 4-bit weight compression is introduced in iOS 18"
+            )
+
+    _validate_ios_version()
+
+    minimum_deployment_target = {
+        15: ct.target.iOS15,
+        16: ct.target.iOS16,
+        17: ct.target.iOS17,
+        18: ct.target.iOS18,
+    }[ios]
+    op_linear_quantizer_config = None
+    if coreml_quantize == "b4w":
+        op_linear_quantizer_config = {
+            "mode": "linear_symmetric",
+            "dtype": "int4",
+            "granularity": "per_block",
+            "block_size": 32,
+            "weight_threshold": 512,
+        }
+    compile_specs = CoreMLBackend.generate_compile_specs(  # pyre-fixme[16]
+        minimum_deployment_target=minimum_deployment_target,
         compute_precision=ct.precision(ct.precision.FLOAT16.value),
         # using `ComputeUnit.ALL` can increase the model load time, default to `ComputeUnit.CPU_AND_GPU`
         compute_unit=ct.ComputeUnit[ct.ComputeUnit.CPU_AND_GPU.name.upper()],
-        model_type=CoreMLBackend.MODEL_TYPE.MODEL,
+        model_type=CoreMLBackend.MODEL_TYPE.MODEL,  # pyre-fixme[16]
+        op_linear_quantizer_config=op_linear_quantizer_config,
     )
-    return CoreMLPartitioner(
+
+    take_over_mutable_buffer = minimum_deployment_target >= ct.target.iOS18
+
+    return CoreMLPartitioner(  # pyre-fixme[16]
         compile_specs=compile_specs,
+        take_over_mutable_buffer=take_over_mutable_buffer,
     )
 
 
 def get_qnn_partitioner(
-    quant_dtype, use_kv_cache: bool = False, pt2e_quantize: Optional[str] = None
+    use_kv_cache: bool = False,
+    pt2e_quantize: Optional[str] = None,
+    num_sharding: int = 0,
+    soc_model: str = "SM8650",  # default to SM8650
 ):
     assert (
         use_kv_cache is True
@@ -95,9 +151,6 @@ def get_qnn_partitioner(
             QnnPartitioner,
         )
 
-        # pyre-ignore: Undefined import [21]: Could not find a module corresponding to import `executorch.backends.qualcomm.quantizer.quantizer`
-        from executorch.backends.qualcomm.quantizer.quantizer import QuantDtype
-
         # pyre-ignore: Undefined import [21]: Could not find a module corresponding to import `executorch.backends.qualcomm.serialization.qnn_compile_spec_schema`
         from executorch.backends.qualcomm.serialization.qnn_compile_spec_schema import (
             QcomChipset,
@@ -110,28 +163,22 @@ def get_qnn_partitioner(
         )
     except ImportError:
         raise ImportError(
-            "Please install the Qualcomm backend follwing https://pytorch.org/executorch/main/build-run-qualcomm-ai-engine-direct-backend.html"
+            "Please install the Qualcomm backend following https://pytorch.org/executorch/main/build-run-qualcomm-ai-engine-direct-backend.html"
         )
 
     use_fp16 = True
-    skip_node_op_set = {}
+    skip_node_op_set = {"llama.fallback.default", "aten.embedding.default"}
     if pt2e_quantize is not None:
         use_fp16 = False
-        # TODO: fix the lowering error without skipping nodes
-
-        if quant_dtype == QuantDtype.use_8a8w:
-            raise NotImplementedError("8a8w for llama is still under development")
-
-        elif quant_dtype == QuantDtype.use_16a16w:
-            raise NotImplementedError("16a16w for llama is still under development")
-
-        elif quant_dtype == QuantDtype.use_16a4w:
-            raise NotImplementedError("16a4w for llama is still under development")
 
-    return QnnPartitioner(
-        generate_qnn_executorch_compiler_spec(
-            soc_model=QcomChipset.SM8650,  # default to SM8650
-            backend_options=generate_htp_compiler_spec(use_fp16=use_fp16),
+    return QnnPartitioner(  # pyre-fixme[16]
+        generate_qnn_executorch_compiler_spec(  # pyre-fixme[16]
+            soc_model=getattr(QcomChipset, soc_model),  # pyre-fixme[16]
+            # pyre-fixme[16]
+            backend_options=generate_htp_compiler_spec(
+                use_fp16=use_fp16,
+                use_multi_contexts=num_sharding > 0,
+            ),
             debug=False,
             saver=False,
         ),
diff --git a/extension/llm/export/quantizer_lib.py b/extension/llm/export/quantizer_lib.py
index 441f673302..45d9932724 100644
--- a/extension/llm/export/quantizer_lib.py
+++ b/extension/llm/export/quantizer_lib.py
@@ -146,6 +146,10 @@ def get_qnn_quantizer(
     quantization_mode: Optional[str] = None,
 ):
     try:
+        from executorch.backends.qualcomm.quantizer.custom_annotation import (  # pyre-fixme[21]
+            custom_annotate_llama_matmul_16a8w,
+        )
+
         # pyre-ignore: Undefined import [21]: Could not find a module corresponding to import `executorch.backends.qualcomm.quantizer.quantizer`
         from executorch.backends.qualcomm.quantizer.quantizer import (
             get_16a4w_qnn_ptq_config,
@@ -153,6 +157,7 @@ def get_qnn_quantizer(
             QnnQuantizer,
             QuantDtype,
         )
+        from torch.ao.quantization.observer import MinMaxObserver
 
     except ImportError:
         raise ImportError(
@@ -163,26 +168,38 @@ def get_qnn_quantizer(
     assert (
         backend == "qnn"
     ), f"The quantization config is for backend {backend} instead of qnn."
-    qnn_quantizer = QnnQuantizer()
+    qnn_quantizer = QnnQuantizer()  # pyre-fixme[16]
     qnn_quantizer.set_per_channel_conv_quant(enable=True)
     qnn_quantizer.set_per_channel_linear_quant(enable=True)
     # more custom quantization are supported including 16a4w etc. default to 8bit quantized
     custom_annotations = ()
     if quant_config == "8a8w":
-        raise NotImplementedError("8a8w for llama is still under development")
-        quant_dtype = QuantDtype.use_8a8w
-        pass
+        quant_dtype = QuantDtype.use_8a8w  # pyre-fixme[16]
     elif quant_config == "16a16w":
-        raise NotImplementedError("16a16w for llama is still under development")
-        quant_dtype = QuantDtype.use_16a16w
+        quant_dtype = QuantDtype.use_16a16w  # pyre-fixme[16]
+        # Due to the error with 16a16w in Qnn Htp, we need to disable per channel linear quantization when use 16a16w
+        # TODO: enable it after the issue is fixed
+        logging.warning(
+            "Disable per channel quantization for linear and conv due to the error with QNN HTP 16a16w."
+        )
+        qnn_quantizer.set_per_channel_conv_quant(enable=False)
+        qnn_quantizer.set_per_channel_linear_quant(enable=False)
         qnn_quantizer.add_16bit_quant_ops(qnn_quantizer.SUPPORTED_OPS)
-        qnn_quantizer.set_bit16_op_quant_config(get_default_16bit_qnn_ptq_config())
+        qnn_quantizer.set_bit16_op_quant_config(
+            # pyre-ignore: Undefined attribute [16]: Module `executorch.backends` has no attribute `qualcomm`.
+            get_default_16bit_qnn_ptq_config(act_observer=MinMaxObserver)
+        )
     elif quant_config == "16a4w":
-        raise NotImplementedError("16a4w for llama is still under development")
+        # pyre-ignore: Undefined attribute [16]: Module `executorch.backends` has no attribute `qualcomm`.
         quant_dtype = QuantDtype.use_16a4w
         qnn_quantizer.add_16bit_quant_ops(qnn_quantizer.SUPPORTED_OPS)
-        qnn_quantizer.set_bit16_op_quant_config(get_16a4w_qnn_ptq_config())
+        qnn_quantizer.set_bit16_op_quant_config(
+            # pyre-ignore: Undefined attribute [16]: Module `executorch.backends` has no attribute `qualcomm`.
+            get_16a4w_qnn_ptq_config(act_observer=MinMaxObserver)
+        )
         qnn_quantizer.set_per_channel_weight_dtype(weight_dtype_for_16bit_act="int4")
+        # pyre-ignore: Undefined attribute [16]: Module `executorch.backends` has no attribute `qualcomm`.
+        custom_annotations = (custom_annotate_llama_matmul_16a8w,)
     else:
         raise AssertionError(
             f"No support for quant type {quant_config}. Support 8a8w, 16a16w and 16a4w."
@@ -192,4 +209,59 @@ def get_qnn_quantizer(
         quantization_mode is None
     ), "Currently qnn backend only supports QnnQuantizer via pt2e flow"
     qnn_quantizer.add_custom_quant_annotations(custom_annotations)
+    qnn_quantizer.add_discard_ops(
+        [
+            torch.ops.aten.embedding.default,
+        ]
+    )
+
     return qnn_quantizer, quant_dtype
+
+
+def get_coreml_quantizer(pt2e_quantize: str):
+    try:
+        from coremltools.optimize.torch.quantization.quantization_config import (
+            LinearQuantizerConfig,
+            QuantizationScheme,
+        )
+
+        # pyre-ignore: Undefined import [21]: Could not find a module corresponding to import `executorch.backends.apple.coreml.quantizer`.
+        from executorch.backends.apple.coreml.quantizer import CoreMLQuantizer
+    except ImportError:
+        raise ImportError(
+            "Please install the CoreML backend follwing https://pytorch.org/executorch/main/build-run-coreml.html"
+        )
+
+    if pt2e_quantize == "coreml_8a_c8w":
+        config = LinearQuantizerConfig.from_dict(
+            {
+                "global_config": {
+                    "quantization_scheme": QuantizationScheme.affine,
+                    "activation_dtype": torch.quint8,
+                    "weight_dtype": torch.qint8,
+                    "weight_per_channel": True,
+                }
+            }
+        )
+        # pyre-ignore: Undefined attribute [16]: Module `executorch.backends` has no attribute `apple`.
+        quantizer = CoreMLQuantizer(config)
+
+    elif pt2e_quantize in ("coreml_c4w", "coreml_8a_c4w"):
+        raise NotImplementedError("4-bit Core ML quantizer is still under development")
+
+    elif pt2e_quantize == "coreml_baseline_8a_c8w":
+        config = get_symmetric_quantization_config(
+            is_per_channel=True, is_dynamic=False
+        )
+        quantizer = XNNPACKQuantizer().set_global(config)
+
+    elif pt2e_quantize == "coreml_baseline_8a_c4w":
+        config = get_symmetric_quantization_config(
+            is_per_channel=True, is_dynamic=False, weight_qmin=-8, weight_qmax=7
+        )
+        quantizer = XNNPACKQuantizer().set_global(config)
+
+    else:
+        raise ValueError(f"Unsupported Core ML quantizer specification {pt2e_quantize}")
+
+    return quantizer
diff --git a/extension/llm/runner/CMakeLists.txt b/extension/llm/runner/CMakeLists.txt
new file mode 100644
index 0000000000..a9245768b9
--- /dev/null
+++ b/extension/llm/runner/CMakeLists.txt
@@ -0,0 +1,55 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+#
+# Build llm runner lib.
+#
+# ### Editing this file ###
+#
+# This file should be formatted with
+# ~~~
+# cmake-format -i CMakeLists.txt
+# ~~~
+# It should also be cmake-lint clean.
+#
+
+if(NOT EXECUTORCH_ROOT)
+  set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../../..)
+endif()
+
+include(${EXECUTORCH_ROOT}/build/Utils.cmake)
+include(${EXECUTORCH_ROOT}/build/Codegen.cmake)
+
+#
+# The `_<target>_srcs` lists are defined by including ${EXECUTORCH_SRCS_FILE}.
+#
+set(EXECUTORCH_SRCS_FILE
+    "${CMAKE_CURRENT_BINARY_DIR}/../../../executorch_srcs.cmake"
+)
+
+extract_sources(${EXECUTORCH_SRCS_FILE})
+
+include(${EXECUTORCH_SRCS_FILE})
+
+# build llm runner library
+list(TRANSFORM _extension_llm_runner__srcs PREPEND "${EXECUTORCH_ROOT}/")
+
+target_include_directories(
+  extension_module INTERFACE ${_common_include_directories}
+)
+
+add_library(extension_llm_runner STATIC ${_extension_llm_runner__srcs})
+
+set(runner_deps executorch extension_data_loader extension_module
+                extension_tensor
+)
+
+target_link_libraries(extension_llm_runner PUBLIC ${runner_deps})
+
+target_include_directories(
+  extension_llm_runner INTERFACE ${_common_include_directories}
+                                 ${EXECUTORCH_ROOT}
+)
diff --git a/backends/xnnpack/threadpool/test/TARGETS b/extension/llm/runner/TARGETS
similarity index 100%
rename from backends/xnnpack/threadpool/test/TARGETS
rename to extension/llm/runner/TARGETS
diff --git a/extension/llm/runner/image.h b/extension/llm/runner/image.h
new file mode 100644
index 0000000000..32a9f87818
--- /dev/null
+++ b/extension/llm/runner/image.h
@@ -0,0 +1,38 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// A simple image struct.
+
+#pragma once
+#include <cstdint>
+// patternlint-disable-next-line executorch-cpp-nostdinc
+#include <vector>
+
+namespace executorch {
+namespace extension {
+namespace llm {
+
+struct Image {
+  // Assuming NCHW format
+  std::vector<uint8_t> data;
+  int32_t width;
+  int32_t height;
+  int32_t channels;
+};
+
+} // namespace llm
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::llm::Image;
+} // namespace executor
+} // namespace torch
diff --git a/extension/llm/runner/image_prefiller.h b/extension/llm/runner/image_prefiller.h
new file mode 100644
index 0000000000..93bb9a030b
--- /dev/null
+++ b/extension/llm/runner/image_prefiller.h
@@ -0,0 +1,56 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// Given a image tensor, prefill the KV cache of a multimodal LLM.
+
+#pragma once
+
+#include <executorch/extension/llm/runner/image.h>
+#include <executorch/extension/module/module.h>
+
+namespace executorch {
+namespace extension {
+namespace llm {
+
+// Assuming kv cache and parallel prefill are enabled.
+class ImagePrefiller {
+ public:
+  explicit ImagePrefiller(::executorch::extension::Module* module)
+      : module_(module) {}
+
+  /**
+   * Prefill an LLM Module with the given image input.
+   * @param image The image input to the multimodal LLM.
+   * @param start_pos The starting position in KV cache of the input in the LLM.
+   * It's passed as reference and will be updated inside this function.
+   * @return The next token of the LLM Module after prefill.
+   */
+  virtual ::executorch::runtime::Result<exec_aten::Tensor> prefill(
+      Image& image,
+      int64_t& start_pos) = 0;
+
+  virtual ::executorch::runtime::Error load() = 0;
+  virtual bool is_method_loaded() = 0;
+
+  virtual ~ImagePrefiller() = default;
+
+ protected:
+  Module* module_;
+};
+
+} // namespace llm
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::llm::ImagePrefiller;
+} // namespace executor
+} // namespace torch
diff --git a/extension/llm/runner/multimodal_runner.h b/extension/llm/runner/multimodal_runner.h
new file mode 100644
index 0000000000..6798f648a0
--- /dev/null
+++ b/extension/llm/runner/multimodal_runner.h
@@ -0,0 +1,151 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// A simple multimodal LLM runner that includes preprocessing and post
+// processing logic. The module takes in a string as input and emits a string as
+// output.
+
+#pragma once
+
+#include <cstdint>
+// patternlint-disable-next-line executorch-cpp-nostdinc
+#include <functional>
+#include <memory>
+// patternlint-disable-next-line executorch-cpp-nostdinc
+#include <string>
+#include <type_traits>
+// patternlint-disable-next-line executorch-cpp-nostdinc
+#include <unordered_map>
+
+#include <executorch/extension/llm/runner/image.h>
+#include <executorch/extension/llm/runner/image_prefiller.h>
+#include <executorch/extension/llm/runner/stats.h>
+#include <executorch/extension/llm/runner/text_decoder_runner.h>
+#include <executorch/extension/llm/runner/text_prefiller.h>
+#include <executorch/extension/llm/runner/text_token_generator.h>
+#include <executorch/extension/llm/sampler/sampler.h>
+#include <executorch/extension/llm/tokenizer/tokenizer.h>
+#include <executorch/extension/module/module.h>
+
+namespace executorch {
+namespace extension {
+namespace llm {
+
+class MultimodalRunner {
+ public:
+  explicit MultimodalRunner(
+      const std::string& model_path,
+      const std::string& tokenizer_path,
+      const float temperature = 0.8f)
+      : temperature_(temperature),
+        module_(std::make_unique<Module>(model_path, Module::LoadMode::File)),
+        tokenizer_path_(tokenizer_path) {
+    ET_LOG(
+        Info,
+        "Creating Multimodal LLM runner: model_path=%s, tokenizer_path=%s",
+        model_path.c_str(),
+        tokenizer_path.c_str());
+  }
+
+  virtual bool is_loaded() = 0;
+  virtual ::executorch::runtime::Error load() = 0;
+  virtual ::executorch::runtime::Error generate(
+      std::vector<Image> images,
+      const std::string& prompt,
+      int32_t seq_len = 1024,
+      std::function<void(const std::string&)> token_callback = {},
+      std::function<void(const Stats&)> stats_callback = {},
+      bool echo = true) = 0;
+
+  /**
+   * Prefill an LLaVA Module with the given images input.
+   * @param images The image input to LLaVA.
+   * @param start_pos The starting position in KV cache of the input in the LLM.
+   * It's passed as reference and will be updated inside this function.
+   * @return The error status of prefilling images.
+   */
+  virtual runtime::Error prefill_images(
+      std::vector<Image>& images,
+      int64_t& start_pos) = 0;
+
+  /**
+   * Prefill an LLaVA Module with the given text input.
+   * @param prompt The text prompt to LLaVA.
+   * @param start_pos The starting position in KV cache of the input in the LLM.
+   * It's passed as reference and will be updated inside this function.
+   * @param bos The number of BOS (begin of sequence) token.
+   * @param eos The number of EOS (end of sequence) token.
+   * @return The generated token of the LLaVA Module after prefill prompt.
+   */
+  virtual runtime::Result<uint64_t> prefill_prompt(
+      const std::string& prompt,
+      int64_t& start_pos,
+      int8_t bos = 0,
+      int8_t eos = 0) = 0;
+
+  /**
+   * Generate tokens from the given prompt, starting from the given position.
+   * @param prompt The text prompt to LLaVA.
+   * @param seq_len The total sequence length, including the prompt tokens and
+   * new tokens.
+   * @param start_pos The starting position in KV cache of the input in the LLM.
+   * @param token_callback What to do after a token is generated.
+   * @param stats_callback What to do with Stats.
+   * @param echo Whether to echo the input prompt or not.
+   * @return The error code.
+   */
+  virtual runtime::Error generate_from_pos(
+      const std::string& prompt,
+      int32_t seq_len = 1024,
+      int64_t start_pos = 0,
+      std::function<void(const std::string&)> token_callback = {},
+      std::function<void(const ::executorch::extension::llm::Stats&)>
+          stats_callback = {},
+      bool echo = true) = 0;
+
+  inline void stop() {
+    text_token_generator_->stop();
+  }
+
+  virtual ~MultimodalRunner() = default;
+
+ protected:
+  // metadata
+  int32_t vocab_size_;
+  int32_t bos_id_;
+  int32_t eos_id_;
+  int32_t n_bos_;
+  int32_t n_eos_;
+  int32_t max_seq_len_;
+  float temperature_;
+
+  // model
+  std::unordered_set<std::string> model_methods_;
+  std::unique_ptr<Module> module_;
+  std::unique_ptr<TextDecoderRunner> text_decoder_runner_;
+  std::unique_ptr<TextPrefiller> text_prefiller_;
+  std::unique_ptr<ImagePrefiller> image_prefiller_;
+  std::unique_ptr<TextTokenGenerator> text_token_generator_;
+  std::string tokenizer_path_;
+  std::unique_ptr<Tokenizer> tokenizer_;
+
+  // stats
+  Stats stats_;
+};
+
+} // namespace llm
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::llm::MultimodalRunner;
+} // namespace executor
+} // namespace torch
diff --git a/extension/llm/runner/stats.h b/extension/llm/runner/stats.h
new file mode 100644
index 0000000000..902ba89296
--- /dev/null
+++ b/extension/llm/runner/stats.h
@@ -0,0 +1,149 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// Runner stats for LLM
+#pragma once
+#include <executorch/extension/llm/runner/util.h>
+#include <executorch/runtime/platform/log.h>
+#include <cinttypes>
+#include <sstream>
+// patternlint-disable-next-line executorch-cpp-nostdinc
+#include <string>
+
+namespace executorch {
+namespace extension {
+namespace llm {
+
+struct Stats {
+  // Scaling factor for timestamps - in this case, we use ms.
+  const long SCALING_FACTOR_UNITS_PER_SECOND = 1000;
+  // Time stamps for the different stages of the execution
+  // model_load_start_ms: Start of model loading.
+  long model_load_start_ms;
+  // model_load_end_ms: End of model loading.
+  long model_load_end_ms;
+  // inference_start_ms: Immediately after the model is loaded (or we check
+  // for model load), measure the inference time.
+  long inference_start_ms;
+  // prompt_eval_end_ms: Prompt array allocation and tokenization. Ends right
+  // before the inference loop starts
+  long prompt_eval_end_ms;
+  // first_token: Timestamp when the first generated token is emitted
+  long first_token_ms;
+  // inference_end_ms: End of inference/generation.
+  long inference_end_ms;
+  // Keep a running total of the time spent in sampling.
+  long aggregate_sampling_time_ms;
+  // Token count from prompt
+  int64_t num_prompt_tokens;
+  // Token count from generated (total - prompt)
+  int64_t num_generated_tokens;
+  inline void on_sampling_begin() {
+    aggregate_sampling_timer_start_timestamp = time_in_ms();
+  }
+  inline void on_sampling_end() {
+    aggregate_sampling_time_ms +=
+        time_in_ms() - aggregate_sampling_timer_start_timestamp;
+    aggregate_sampling_timer_start_timestamp = 0;
+  }
+
+ private:
+  long aggregate_sampling_timer_start_timestamp = 0;
+};
+
+static constexpr auto kTopp = 0.9f;
+
+inline std::string stats_to_json_string(const Stats& stats) {
+  std::stringstream ss;
+  ss << "{\"prompt_tokens\":" << stats.num_prompt_tokens << ","
+     << "\"generated_tokens\":" << stats.num_generated_tokens << ","
+     << "\"model_load_start_ms\":" << stats.model_load_start_ms << ","
+     << "\"model_load_end_ms\":" << stats.model_load_end_ms << ","
+     << "\"inference_start_ms\":" << stats.inference_start_ms << ","
+     << "\"inference_end_ms\":" << stats.inference_end_ms << ","
+     << "\"prompt_eval_end_ms\":" << stats.prompt_eval_end_ms << ","
+     << "\"first_token_ms\":" << stats.first_token_ms << ","
+     << "\"aggregate_sampling_time_ms\":" << stats.aggregate_sampling_time_ms
+     << "," << "\"SCALING_FACTOR_UNITS_PER_SECOND\":"
+     << stats.SCALING_FACTOR_UNITS_PER_SECOND << "}";
+  return ss.str();
+}
+
+inline void print_report(const Stats& stats) {
+  printf("PyTorchObserver %s\n", stats_to_json_string(stats).c_str());
+
+  ET_LOG(
+      Info,
+      "\tPrompt Tokens: %" PRIu64 "    Generated Tokens: %" PRIu64,
+      stats.num_prompt_tokens,
+      stats.num_generated_tokens);
+
+  ET_LOG(
+      Info,
+      "\tModel Load Time:\t\t%f (seconds)",
+      ((double)(stats.model_load_end_ms - stats.model_load_start_ms) /
+       stats.SCALING_FACTOR_UNITS_PER_SECOND));
+  double inference_time_ms =
+      (double)(stats.inference_end_ms - stats.inference_start_ms);
+  ET_LOG(
+      Info,
+      "\tTotal inference time:\t\t%f (seconds)\t\t Rate: \t%f (tokens/second)",
+      inference_time_ms / stats.SCALING_FACTOR_UNITS_PER_SECOND,
+
+      (stats.num_generated_tokens) /
+          (double)(stats.inference_end_ms - stats.inference_start_ms) *
+          stats.SCALING_FACTOR_UNITS_PER_SECOND);
+  double prompt_eval_time =
+      (double)(stats.prompt_eval_end_ms - stats.inference_start_ms);
+  ET_LOG(
+      Info,
+      "\t\tPrompt evaluation:\t%f (seconds)\t\t Rate: \t%f (tokens/second)",
+      prompt_eval_time / stats.SCALING_FACTOR_UNITS_PER_SECOND,
+      (stats.num_prompt_tokens) / prompt_eval_time *
+          stats.SCALING_FACTOR_UNITS_PER_SECOND);
+
+  double eval_time =
+      (double)(stats.inference_end_ms - stats.prompt_eval_end_ms);
+  ET_LOG(
+      Info,
+      "\t\tGenerated %" PRIu64
+      " tokens:\t%f (seconds)\t\t Rate: \t%f (tokens/second)",
+      stats.num_generated_tokens,
+      eval_time / stats.SCALING_FACTOR_UNITS_PER_SECOND,
+      stats.num_generated_tokens / eval_time *
+          stats.SCALING_FACTOR_UNITS_PER_SECOND);
+
+  // Time to first token is measured from the start of inference, excluding
+  // model load time.
+  ET_LOG(
+      Info,
+      "\tTime to first generated token:\t%f (seconds)",
+      ((double)(stats.first_token_ms - stats.inference_start_ms) /
+       stats.SCALING_FACTOR_UNITS_PER_SECOND));
+
+  ET_LOG(
+      Info,
+      "\tSampling time over %" PRIu64 " tokens:\t%f (seconds)",
+      stats.num_prompt_tokens + stats.num_generated_tokens,
+      (double)stats.aggregate_sampling_time_ms /
+          stats.SCALING_FACTOR_UNITS_PER_SECOND);
+}
+
+} // namespace llm
+} // namespace extension
+} // namespace executorch
+
+namespace executorch {
+namespace llm {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::llm::kTopp;
+using ::executorch::extension::llm::print_report;
+using ::executorch::extension::llm::Stats;
+} // namespace llm
+} // namespace executorch
diff --git a/extension/llm/runner/targets.bzl b/extension/llm/runner/targets.bzl
new file mode 100644
index 0000000000..f20240956c
--- /dev/null
+++ b/extension/llm/runner/targets.bzl
@@ -0,0 +1,87 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    runtime.cxx_library(
+        name = "stats",
+        exported_headers = [
+            "stats.h",
+            "util.h",
+        ],
+        visibility = [
+            "@EXECUTORCH_CLIENTS",
+        ],
+    )
+
+    for aten in (True, False):
+        aten_suffix = "_aten" if aten else ""
+
+        runtime.cxx_library(
+            name = "text_decoder_runner" + aten_suffix,
+            exported_headers = ["text_decoder_runner.h"],
+            srcs = ["text_decoder_runner.cpp"],
+            visibility = [
+                "@EXECUTORCH_CLIENTS",
+            ],
+            exported_deps = [
+                ":stats",
+                "//executorch/extension/llm/sampler:sampler" + aten_suffix,
+                "//executorch/extension/module:module" + aten_suffix,
+                "//executorch/extension/tensor:tensor" + aten_suffix,
+            ],
+        )
+
+        runtime.cxx_library(
+            name = "text_prefiller" + aten_suffix,
+            exported_headers = ["text_prefiller.h"],
+            srcs = ["text_prefiller.cpp"],
+            visibility = [
+                "@EXECUTORCH_CLIENTS",
+            ],
+            exported_deps = [
+                ":text_decoder_runner" + aten_suffix,
+                "//executorch/extension/llm/tokenizer:tokenizer_header",
+                "//executorch/extension/module:module" + aten_suffix,
+                "//executorch/extension/tensor:tensor" + aten_suffix,
+            ],
+        )
+
+        runtime.cxx_library(
+            name = "text_token_generator" + aten_suffix,
+            exported_headers = ["text_token_generator.h"],
+            visibility = [
+                "@EXECUTORCH_CLIENTS",
+            ],
+            exported_deps = [
+                ":text_decoder_runner" + aten_suffix,
+                "//executorch/extension/llm/tokenizer:tokenizer_header",
+                "//executorch/extension/module:module" + aten_suffix,
+                "//executorch/extension/tensor:tensor" + aten_suffix,
+            ],
+        )
+
+        runtime.cxx_library(
+            name = "image_prefiller" + aten_suffix,
+            exported_headers = ["image_prefiller.h", "image.h"],
+            visibility = [
+                "@EXECUTORCH_CLIENTS",
+            ],
+            exported_deps = [
+                "//executorch/extension/module:module" + aten_suffix,
+            ],
+        )
+
+        runtime.cxx_library(
+            name = "runner_lib" + aten_suffix,
+            exported_headers = [
+                "multimodal_runner.h",
+            ],
+            visibility = [
+                "@EXECUTORCH_CLIENTS",
+            ],
+            exported_deps = [
+                ":image_prefiller" + aten_suffix,
+                ":text_decoder_runner" + aten_suffix,
+                ":text_prefiller" + aten_suffix,
+                ":text_token_generator" + aten_suffix,
+            ],
+        )
diff --git a/extension/llm/runner/text_decoder_runner.cpp b/extension/llm/runner/text_decoder_runner.cpp
new file mode 100644
index 0000000000..faf4d1344e
--- /dev/null
+++ b/extension/llm/runner/text_decoder_runner.cpp
@@ -0,0 +1,75 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// Given inputs, run a text decoder and return logits.
+
+#include <executorch/extension/llm/runner/text_decoder_runner.h>
+
+#include <ctime>
+
+#include <executorch/extension/llm/runner/stats.h>
+
+namespace executorch {
+namespace extension {
+namespace llm {
+
+// NOTE: we observed ~2x loading performance increase on iPhone 15
+// and a ~5% improvement on Galaxy S22 by switching to
+// FileDataLoader instead of MmapDataLoader + UseMlockIgnoreErrors.
+TextDecoderRunner::TextDecoderRunner(
+    Module* module,
+    bool use_kv_cache,
+    int32_t vocab_size,
+    float temperature)
+    : module_(module),
+      sampler_(std::make_unique<Sampler>(
+          vocab_size,
+          temperature,
+          kTopp,
+          static_cast<unsigned long long>(std::time(nullptr)))),
+      use_kv_cache_(use_kv_cache) {}
+
+// This function is functional, meaning it shouldn't modify any state of the
+// input. It should be safe to call multiple times with the same inputs. The
+// outer loop (call site) is responsible for managing state.
+::executorch::runtime::Result<exec_aten::Tensor> TextDecoderRunner::step(
+    TensorPtr& tokens,
+    TensorPtr& start_pos) {
+  // ET_LOG(Info, "Input token %" PRIu64, input_token);
+  if (use_kv_cache_) {
+    auto outputs_res = module_->forward({tokens, start_pos});
+    ET_CHECK_OK_OR_RETURN_ERROR(outputs_res.error());
+    ET_CHECK_MSG(
+        outputs_res.get().size() == 1,
+        "More then one output returned from executing LLM.");
+    ET_CHECK_MSG(
+        outputs_res.get()[0].isTensor(),
+        "Non Tensor Output returned from executing LLM");
+
+    // Return the logits tensor
+    return outputs_res.get()[0].toTensor();
+  } else { // no kv cache
+    (void)start_pos; // unused
+
+    auto outputs_res = module_->forward(tokens);
+    ET_CHECK_OK_OR_RETURN_ERROR(outputs_res.error());
+    ET_CHECK_MSG(
+        outputs_res.get().size() == 1,
+        "More then one output returned from executing LLM.");
+    ET_CHECK_MSG(
+        outputs_res.get()[0].isTensor(),
+        "Non Tensor Output returned from executing LLM");
+
+    // Return the logits tensor
+    return outputs_res.get()[0].toTensor();
+  }
+}
+
+} // namespace llm
+} // namespace extension
+} // namespace executorch
diff --git a/extension/llm/runner/text_decoder_runner.h b/extension/llm/runner/text_decoder_runner.h
new file mode 100644
index 0000000000..14614775f3
--- /dev/null
+++ b/extension/llm/runner/text_decoder_runner.h
@@ -0,0 +1,115 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// Given inputs, run a text decoder in LLM and return the output.
+
+#pragma once
+
+#include <executorch/extension/llm/sampler/sampler.h>
+#include <executorch/extension/module/module.h>
+#include <executorch/extension/tensor/tensor.h>
+// patternlint-disable-next-line executorch-cpp-nostdinc
+#include <functional>
+
+namespace executorch {
+namespace extension {
+namespace llm {
+
+class TextDecoderRunner {
+ public:
+  TextDecoderRunner(
+      Module* module,
+      bool use_kv_cache,
+      int32_t vocab_size,
+      float temperature);
+
+  virtual ~TextDecoderRunner() = default;
+
+  /**
+   * Run LLM text decoder with inputs to generate next token.
+   * @param input The input to the LLM Module.
+   * @param start_pos The starting position in KV cache of the input in the LLM
+   * Module.
+   * @return The output of the LLM Module. This will be a tensor of logits.
+   */
+  virtual ::executorch::runtime::Result<exec_aten::Tensor> step(
+      TensorPtr& input,
+      TensorPtr& start_pos);
+
+  /**
+   * Load the Module for text decode purpose.
+   * @return The error code.
+   */
+  virtual ::executorch::runtime::Error load() {
+    return module_->load_method("forward");
+  }
+
+  /**
+   * Check if the required methods in the Module is loaded.
+   * @return True if the Module is loaded, false otherwise.
+   */
+  virtual bool is_method_loaded() {
+    return module_->is_method_loaded("forward");
+  }
+
+  inline void stop() {
+    should_stop_ = true;
+  }
+
+  /**
+   * Sample the next token from the logits tensor.
+   * @param logits_tensor The logits tensor.
+   * @return The next token.
+   */
+  inline int32_t logits_to_token(const exec_aten::Tensor& logits_tensor) {
+    int32_t result = 0;
+    ET_SWITCH_THREE_TYPES(
+        Float,
+        Half,
+        BFloat16,
+        logits_tensor.scalar_type(),
+        unused,
+        "logits_to_token",
+        CTYPE,
+        [&]() {
+          // If the logit_tensor rank is 3, the shape is [batch, seq_length,
+          // vocab_size], get the last logits, sample and return. Else the model
+          // outputs the last logit, directly sample and return.
+          auto* logits = logits_tensor.mutable_data_ptr<CTYPE>();
+          if (logits_tensor.dim() == 3) {
+            auto num_tokens = logits_tensor.size(1);
+            auto vocab_size = logits_tensor.size(2);
+            auto* logits_last = logits;
+            logits_last += (num_tokens - 1) * vocab_size;
+            result = sampler_->sample(logits_last);
+          } else {
+            result = sampler_->sample(logits);
+          }
+        });
+    return result;
+  }
+
+ protected:
+  // TODO: use shared_ptr for module
+  Module* module_;
+  std::unique_ptr<Sampler> sampler_;
+  bool use_kv_cache_;
+  bool should_stop_{false};
+};
+
+} // namespace llm
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::llm::TextDecoderRunner;
+} // namespace executor
+} // namespace torch
diff --git a/extension/llm/runner/text_prefiller.cpp b/extension/llm/runner/text_prefiller.cpp
new file mode 100644
index 0000000000..705583d638
--- /dev/null
+++ b/extension/llm/runner/text_prefiller.cpp
@@ -0,0 +1,95 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// Given a text prompt, encode it using tokenizer and prefill the KV cache of a
+// LLM.
+
+#include <executorch/extension/llm/runner/text_prefiller.h>
+
+namespace executorch {
+namespace extension {
+namespace llm {
+
+TextPrefiller::TextPrefiller(
+    TextDecoderRunner* text_decoder_runner,
+    bool use_kv_cache,
+    bool enable_parallel_prefill)
+    : text_decoder_runner_(text_decoder_runner),
+      use_kv_cache_(use_kv_cache),
+      enable_parallel_prefill_(enable_parallel_prefill) {}
+
+::executorch::runtime::Result<uint64_t> TextPrefiller::prefill(
+    std::vector<uint64_t>& prompt_tokens,
+    int64_t& start_pos) {
+  ET_CHECK_MSG(!prompt_tokens.empty(), "Prompt cannot be null");
+  if (!text_decoder_runner_->is_method_loaded()) {
+    ET_CHECK_OK_OR_RETURN_ERROR(text_decoder_runner_->load());
+  }
+  // enable_parallel_prefill_ maybe set even when not using kv cache
+  // When kv cache is not used, start pos is ignored
+  int32_t num_prompt_tokens = prompt_tokens.size();
+
+  // store the token
+  uint64_t cur_token;
+  if (enable_parallel_prefill_ || !use_kv_cache_) {
+    // initialize tensor wrappers
+    auto tokens = from_blob(
+        prompt_tokens.data(),
+        {1, num_prompt_tokens},
+        exec_aten::ScalarType::Long);
+
+    auto start_pos_tensor =
+        from_blob(&start_pos, {1}, exec_aten::ScalarType::Long);
+
+    auto outputs_res = text_decoder_runner_->step(tokens, start_pos_tensor);
+
+    ET_CHECK_OK_OR_RETURN_ERROR(outputs_res.error());
+    ET_LOG(
+        Info, "Prefill token result numel(): %zu", outputs_res.get().numel());
+
+    start_pos += num_prompt_tokens;
+    cur_token = text_decoder_runner_->logits_to_token(outputs_res.get());
+  } else { // sequential prefill
+    int64_t pos = 0; // position in the sequence
+    // NOLINTNEXTLINE(facebook-hte-ParameterUncheckedArrayBounds)
+    cur_token = prompt_tokens[0];
+
+    // initialize tensor wrappers
+    auto tokens = from_blob(&cur_token, {1, 1}, exec_aten::ScalarType::Long);
+
+    auto start_pos_tensor =
+        from_blob(&start_pos, {1}, exec_aten::ScalarType::Long);
+
+    // run the first token and get back logits tensor. Assuming the first token
+    // is bos so don't callback.
+    auto logits_tensor =
+        ET_UNWRAP(text_decoder_runner_->step(tokens, start_pos_tensor));
+
+    pos += 1; // start the loop from index 1
+    start_pos += 1;
+
+    while (pos < num_prompt_tokens) {
+      // Run the model
+      // NOLINTNEXTLINE(facebook-hte-ParameterUncheckedArrayBounds)
+      cur_token = prompt_tokens[pos];
+
+      logits_tensor =
+          ET_UNWRAP(text_decoder_runner_->step(tokens, start_pos_tensor));
+
+      pos++;
+      start_pos++;
+    }
+
+    cur_token = text_decoder_runner_->logits_to_token(logits_tensor);
+  }
+  return cur_token;
+}
+
+} // namespace llm
+} // namespace extension
+} // namespace executorch
diff --git a/extension/llm/runner/text_prefiller.h b/extension/llm/runner/text_prefiller.h
new file mode 100644
index 0000000000..0ea126f32d
--- /dev/null
+++ b/extension/llm/runner/text_prefiller.h
@@ -0,0 +1,57 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// Given a text prompt, encode it using tokenizer and prefill the KV cache of a
+// LLM.
+
+#pragma once
+
+#include <executorch/extension/llm/runner/text_decoder_runner.h>
+#include <executorch/extension/llm/tokenizer/tokenizer.h>
+// patternlint-disable-next-line executorch-cpp-nostdinc
+#include <functional>
+
+namespace executorch {
+namespace extension {
+namespace llm {
+
+class TextPrefiller {
+ public:
+  TextPrefiller(
+      TextDecoderRunner* text_decoder_runner,
+      bool use_kv_cache_,
+      bool enable_parallel_prefill);
+  /**
+   * Prefill an LLM Module with the given text input.
+   * @param prompt_tokens The text prompt tokens to the LLM Module. Encoded by
+   * tokenizer.
+   * @param start_pos The starting position in KV cache of the input in the LLM
+   * Module.
+   * @return The next token of the LLM Module after prefill.
+   */
+  ::executorch::runtime::Result<uint64_t> prefill(
+      std::vector<uint64_t>& prompt_tokens,
+      int64_t& start_pos);
+
+ private:
+  TextDecoderRunner* text_decoder_runner_;
+  bool use_kv_cache_;
+  bool enable_parallel_prefill_;
+};
+
+} // namespace llm
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::llm::TextPrefiller;
+} // namespace executor
+} // namespace torch
diff --git a/extension/llm/runner/text_token_generator.h b/extension/llm/runner/text_token_generator.h
new file mode 100644
index 0000000000..1726750ece
--- /dev/null
+++ b/extension/llm/runner/text_token_generator.h
@@ -0,0 +1,153 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+// Generate tokens in a loop.
+#pragma once
+
+#include <executorch/extension/llm/runner/stats.h>
+#include <executorch/extension/llm/runner/text_decoder_runner.h>
+#include <executorch/extension/llm/tokenizer/tokenizer.h>
+#include <executorch/extension/tensor/tensor.h>
+
+namespace executorch {
+namespace extension {
+namespace llm {
+
+class TextTokenGenerator {
+ public:
+  TextTokenGenerator(
+      Tokenizer* tokenizer,
+      TextDecoderRunner* text_decoder_runner,
+      bool use_kv_cache,
+      std::unique_ptr<std::unordered_set<uint64_t>>&& eos_ids,
+      Stats* stats)
+      : tokenizer_(tokenizer),
+        text_decoder_runner_(text_decoder_runner),
+        eos_ids_(std::move(eos_ids)),
+        use_kv_cache_(use_kv_cache),
+        stats_(stats) {}
+
+  /**
+   * Token generation loop.
+   * @param tokens prompt tokens as well as the first token generated by
+   * prefill.
+   * @param start_pos the start position of the new tokens, based on how many
+   * prompt tokens is prefilled.
+   * @param seq_len the total sequence length, including the prompt tokens, next
+   * token from prefill and new tokens.
+   * @param token_callback what to do after a token is generated.
+   * @return how many tokens are generated.
+   */
+  inline ::executorch::runtime::Result<int64_t> generate(
+      std::vector<uint64_t> tokens,
+      int64_t start_pos,
+      int32_t seq_len,
+      std::function<void(const std::string&)> token_callback) {
+    ET_CHECK_MSG(
+        !tokens.empty(), "Token generation loop shouldn't take empty tokens");
+    int64_t pos = start_pos; // position in the sequence
+
+    std::vector<uint64_t> token_data; // allocate space for the tokens
+    std::vector<exec_aten::SizesType> token_shape;
+
+    // Token after prefill
+    uint64_t cur_token = tokens.back();
+    uint64_t prev_token;
+
+    if (use_kv_cache_) {
+      // hard code these to size 1 as kv cache is locked to static size right
+      // now.
+      token_data = {cur_token};
+      token_shape = {1, 1};
+    } else {
+      token_data = tokens;
+      token_shape = {1, static_cast<int>(tokens.size())};
+    }
+
+    // initialize tensor wrappers
+    auto tokens_managed =
+        from_blob(token_data.data(), token_shape, exec_aten::ScalarType::Long);
+
+    auto start_pos_managed = from_blob(&pos, {1}, exec_aten::ScalarType::Long);
+
+    // Generate our tokens
+    while (pos < seq_len - 1) {
+      // Run the model
+      auto logits_res =
+          text_decoder_runner_->step(tokens_managed, start_pos_managed);
+
+      ET_CHECK_OK_OR_RETURN_ERROR(logits_res.error());
+      exec_aten::Tensor& logits_tensor = logits_res.get();
+
+      prev_token = cur_token;
+
+      stats_->on_sampling_begin();
+      cur_token = text_decoder_runner_->logits_to_token(logits_tensor);
+      stats_->on_sampling_end();
+
+      pos++;
+
+      if (use_kv_cache_) {
+        // update the token tensor. token_data will not be empty.
+        // NOLINTNEXTLINE(facebook-hte-LocalUncheckedArrayBounds)
+        token_data[0] = cur_token;
+      } else {
+        // push it to the back
+        token_data.push_back(cur_token);
+        ET_CHECK_OK_OR_RETURN_ERROR(resize_tensor_ptr(
+            tokens_managed, {1, static_cast<int>(token_data.size())}));
+      }
+
+      // print the token as string, decode it with the Tokenizer object
+      token_callback(ET_UNWRAP(tokenizer_->decode(prev_token, cur_token)));
+
+      if (should_stop_) {
+        break;
+      }
+
+      // data-dependent terminating condition: we have n_eos_ number of EOS
+      if (eos_ids_->find(cur_token) != eos_ids_->end()) {
+        printf("\n");
+        ET_LOG(Info, "\nReached to the end of generation");
+        break;
+      }
+    }
+    return pos - start_pos;
+  }
+
+  /**
+   * Stop the generation loop.
+   */
+  inline void stop() {
+    should_stop_ = true;
+  }
+
+ private:
+  Tokenizer* tokenizer_;
+  TextDecoderRunner* text_decoder_runner_;
+  std::unique_ptr<std::unordered_set<uint64_t>> eos_ids_;
+  bool use_kv_cache_;
+
+  // state machine
+  bool should_stop_ = false;
+
+  // stats
+  Stats* stats_;
+};
+
+} // namespace llm
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::llm::TextTokenGenerator;
+} // namespace executor
+} // namespace torch
diff --git a/extension/llm/runner/util.h b/extension/llm/runner/util.h
new file mode 100644
index 0000000000..2f1d084811
--- /dev/null
+++ b/extension/llm/runner/util.h
@@ -0,0 +1,85 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+#include <stdio.h>
+#include <time.h>
+#include <cctype>
+#if defined(__linux__) || defined(__ANDROID__) || defined(__unix__)
+#include <sys/resource.h>
+#endif
+
+namespace executorch {
+namespace extension {
+namespace llm {
+
+void inline safe_printf(const char* piece) {
+  // piece might be a raw byte token, and we only want to print printable chars
+  // or whitespace because some of the other bytes can be various control codes,
+  // backspace, etc.
+  if (piece == nullptr) {
+    return;
+  }
+  if (piece[0] == '\0') {
+    return;
+  }
+  if (piece[1] == '\0') {
+    unsigned char byte_val = piece[0];
+    if (!(isprint(byte_val) || isspace(byte_val))) {
+      return; // bad byte, don't print it
+    }
+  }
+  printf("%s", piece);
+}
+
+// ----------------------------------------------------------------------------
+// utilities: time
+
+long inline time_in_ms() {
+  // return time in milliseconds, for benchmarking the model speed
+  struct timespec time;
+  clock_gettime(CLOCK_REALTIME, &time);
+  return time.tv_sec * 1000 + time.tv_nsec / 1000000;
+}
+
+// ----------------------------------------------------------------------------
+// utilities: memory usage
+
+// Returns the current RSS in bytes. Returns 0 if not supported.
+// RSS: Resident Set Size, the amount of memory currently in the RAM for this
+// process. These values are approximate, and are only used for logging
+// purposes.
+size_t inline get_rss_bytes() {
+#if defined(__linux__) || defined(__ANDROID__) || defined(__unix__)
+  struct rusage r_usage;
+  if (getrusage(RUSAGE_SELF, &r_usage) == 0) {
+    return r_usage.ru_maxrss * 1024;
+  }
+#endif // __linux__ || __ANDROID__ || __unix__
+  // Unsupported platform like Windows, or getrusage() failed.
+  // __APPLE__ and __MACH__ are not supported because r_usage.ru_maxrss does not
+  // consistently return kbytes on macOS. On older versions of macOS, it
+  // returns bytes, but on newer versions it returns kbytes. Need to figure out
+  // when this changed.
+  return 0;
+}
+} // namespace llm
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+namespace util {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::llm::get_rss_bytes;
+using ::executorch::extension::llm::safe_printf;
+using ::executorch::extension::llm::time_in_ms;
+} // namespace util
+} // namespace executor
+} // namespace torch
diff --git a/extension/llm/sampler/sampler.cpp b/extension/llm/sampler/sampler.cpp
index be3307b715..f7342c48f7 100644
--- a/extension/llm/sampler/sampler.cpp
+++ b/extension/llm/sampler/sampler.cpp
@@ -33,9 +33,11 @@
  */
 
 #include <executorch/extension/llm/sampler/sampler.h>
+#include <algorithm>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace extension {
+namespace llm {
 
 // sampler stuff
 template <typename T>
@@ -66,18 +68,6 @@ int32_t Sampler::sample_mult(T* probabilities, float coin) {
   return vocab_size_ - 1; // in case of rounding errors
 }
 
-template <typename T>
-static int32_t compare(const void* a, const void* b) {
-  ProbIndex<T>* a_ = (ProbIndex<T>*)a;
-  ProbIndex<T>* b_ = (ProbIndex<T>*)b;
-  if (a_->prob > b_->prob) {
-    return -1;
-  } else if (a_->prob < b_->prob) {
-    return 1;
-  }
-  return 0;
-}
-
 template <typename T>
 int32_t Sampler::sample_topp(T* probabilities, float coin) {
   // top-p sampling (or "nucleus sampling") samples from the smallest set of
@@ -100,7 +90,11 @@ int32_t Sampler::sample_topp(T* probabilities, float coin) {
       n0++;
     }
   }
-  qsort(probindex.get(), n0, sizeof(ProbIndex<T>), compare<T>);
+
+  auto compare = [](const ProbIndex<T>& a, const ProbIndex<T>& b) {
+    return a.prob > b.prob;
+  };
+  std::sort(probindex.get(), probindex.get() + n0, compare);
 
   // truncate the list where cumulative probability exceeds topp
   T cumulative_prob = 0;
@@ -131,7 +125,7 @@ Sampler::Sampler(
     float topp,
     unsigned long long rng_seed)
     : vocab_size_(vocab_size),
-      temperature_(temperature),
+      inv_temperature_(static_cast<bool>(temperature) ? 1.0f / temperature : 0),
       topp_(topp),
       rng_state_(rng_seed) {}
 
@@ -172,13 +166,13 @@ template <typename T>
 int32_t Sampler::sample(T* logits) {
   // sample the token given the logits and some hyperparameters
   int next;
-  if (temperature_ == 0.0f) {
+  if (inv_temperature_ == 0.0f) {
     // greedy argmax sampling: take the token with the highest probability
     next = sample_argmax(logits);
   } else {
     // apply the temperature to the logits
     for (int q = 0; q < vocab_size_; q++) {
-      logits[q] /= temperature_;
+      logits[q] *= inv_temperature_;
     }
     // apply softmax to the logits to get the probabilities for next token
     softmax(logits, vocab_size_);
@@ -198,6 +192,9 @@ int32_t Sampler::sample(T* logits) {
 
 template int32_t Sampler::sample<float>(float* logits);
 template int32_t Sampler::sample<exec_aten::Half>(exec_aten::Half* logits);
+template int32_t Sampler::sample<exec_aten::BFloat16>(
+    exec_aten::BFloat16* logits);
 
-} // namespace executor
-} // namespace torch
+} // namespace llm
+} // namespace extension
+} // namespace executorch
diff --git a/extension/llm/sampler/sampler.h b/extension/llm/sampler/sampler.h
index b73a9859ed..9d6d742e59 100644
--- a/extension/llm/sampler/sampler.h
+++ b/extension/llm/sampler/sampler.h
@@ -20,8 +20,9 @@
 
 #include <executorch/runtime/core/exec_aten/exec_aten.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace extension {
+namespace llm {
 // A simple llama2 sampler.
 
 template <typename T>
@@ -51,10 +52,21 @@ class Sampler {
 
  private:
   int32_t vocab_size_;
-  float temperature_;
+  // reciprocal of temperature, or 0 if temperature == 0.
+  float inv_temperature_;
   float topp_;
   unsigned long long rng_state_;
 };
 
+} // namespace llm
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::llm::ProbIndex;
+using ::executorch::extension::llm::Sampler;
 } // namespace executor
 } // namespace torch
diff --git a/extension/llm/sampler/test/targets.bzl b/extension/llm/sampler/test/targets.bzl
index 5b24780433..83b3d31e4c 100644
--- a/extension/llm/sampler/test/targets.bzl
+++ b/extension/llm/sampler/test/targets.bzl
@@ -13,7 +13,7 @@ def define_common_targets():
             "test_sampler.cpp",
         ],
         deps = [
-            "//executorch/examples/models/llama2/sampler:sampler_aten",
+            "//executorch/extension/llm/sampler:sampler_aten",
         ],
         xplat_deps = [
             "//caffe2:torch_mobile_all_ops_et",
diff --git a/extension/llm/sampler/test/test_sampler.cpp b/extension/llm/sampler/test/test_sampler.cpp
index 866bff8367..044a39458e 100644
--- a/extension/llm/sampler/test/test_sampler.cpp
+++ b/extension/llm/sampler/test/test_sampler.cpp
@@ -6,20 +6,16 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-#include <executorch/examples/models/llama2/sampler/sampler.h>
+#include <executorch/extension/llm/sampler/sampler.h>
 
 #include <gtest/gtest.h>
 #include <torch/torch.h>
 
 using namespace ::testing;
+using ::executorch::extension::llm::Sampler;
 
-namespace torch {
-namespace executor {
-
-class SamplerTest : public Test {};
-
-TEST_F(SamplerTest, TestArgMax) {
-  torch::executor::Sampler sampler{
+TEST(SamplerTest, TestArgMax) {
+  Sampler sampler{
       /*vocab_size*/ 32000,
       /*temperature*/ 0.0f,
       /*topp*/ 0.9f,
@@ -31,8 +27,8 @@ TEST_F(SamplerTest, TestArgMax) {
   EXPECT_EQ(sampler.sample(input.data_ptr<float>()), 396);
 }
 
-TEST_F(SamplerTest, TestArgMaxWithFP16) {
-  torch::executor::Sampler sampler{
+TEST(SamplerTest, TestArgMaxWithFP16) {
+  Sampler sampler{
       /*vocab_size*/ 32000,
       /*temperature*/ 0.0f,
       /*topp*/ 0.9f,
@@ -43,6 +39,3 @@ TEST_F(SamplerTest, TestArgMaxWithFP16) {
   input[0][0][396] = 1.0f;
   EXPECT_EQ(sampler.sample(input.data_ptr<c10::Half>()), 396);
 }
-
-} // namespace executor
-} // namespace torch
diff --git a/extension/llm/third-party/TARGETS b/extension/llm/third-party/TARGETS
new file mode 100644
index 0000000000..978c12371f
--- /dev/null
+++ b/extension/llm/third-party/TARGETS
@@ -0,0 +1,47 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+oncall("executorch")
+
+runtime.cxx_library(
+    name = "abseil",
+    public_include_directories = ["abseil-cpp"],
+    srcs = glob(
+        ["abseil-cpp/absl/**/*.cc"],
+        exclude = [
+            "abseil-cpp/absl/**/*test*.cc",
+            "abseil-cpp/absl/**/*mock*.cc",
+            "abseil-cpp/absl/**/*matchers*.cc",
+            "abseil-cpp/absl/**/*benchmark*.cc",
+        ],
+    ),
+    exported_linker_flags = select(
+        {
+            "DEFAULT": [],
+            "ovr_config//os:macos": ["-Wl,-framework,CoreFoundation"],
+        },
+    ),
+    visibility = ["PUBLIC"],
+    _is_external_target = True,
+)
+
+runtime.cxx_library(
+    name = "re2",
+    public_include_directories = ["re2"],
+    srcs = glob(
+        [
+            "re2/re2/**/*.cc",
+            "re2/util/**/*.cc",
+        ],
+        exclude = [
+            "re2/re2/**/*test*.cc",
+            "re2/re2/testing/*.cc",
+            "re2/re2/fuzzing/*.cc",
+            "re2/re2/**/*benchmark*.cc",
+        ],
+    ),
+    exported_deps = [
+        ":abseil",
+    ],
+    visibility = ["PUBLIC"],
+    _is_external_target = True,
+)
diff --git a/extension/llm/tokenizer/base64.h b/extension/llm/tokenizer/base64.h
index 9fb1b5129b..83ef9e0696 100644
--- a/extension/llm/tokenizer/base64.h
+++ b/extension/llm/tokenizer/base64.h
@@ -24,16 +24,23 @@
 
 #pragma once
 
+#include <executorch/runtime/core/error.h>
+#include <executorch/runtime/core/result.h>
 #include <executorch/runtime/platform/assert.h>
 #include <cassert>
 #include <string>
 #include <string_view>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace extension {
+namespace llm {
+using Error = executorch::runtime::Error;
+template <typename T>
+using Result = executorch::runtime::Result<T>;
+
 namespace base64 {
 
-std::string decode(const std::string_view& input);
+Result<std::string> decode(const std::string_view& input);
 
 namespace detail {
 
@@ -57,96 +64,111 @@ constexpr uint32_t DECODE_TABLE[] = {
     255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
     255};
 
-inline void validate(uint32_t v) {
-  ET_CHECK_MSG(v != 255, "invalid char");
+inline Error validate(uint32_t v) {
+  ET_CHECK_OR_RETURN_ERROR(v != 255, InvalidArgument, "invalid char");
+  return Error::Ok;
 }
 
-inline void decode(const std::string_view& input, std::string& output) {
-  ET_CHECK_MSG(
-      input.size() == 4, "input length must be 4, got %zu", input.size());
+inline Error decode(const std::string_view& input, std::string& output) {
+  ET_CHECK_OR_RETURN_ERROR(
+      input.size() == 4,
+      InvalidArgument,
+      "input length must be 4, got %zu",
+      input.size());
 
   uint32_t val = 0;
 
   uint8_t c = input[0];
   auto v = DECODE_TABLE[c];
-  validate(v);
+  ET_CHECK_OK_OR_RETURN_ERROR(validate(v));
   val = v;
 
   c = input[1];
   v = DECODE_TABLE[c];
-  validate(v);
+  ET_CHECK_OK_OR_RETURN_ERROR(validate(v));
   val = (val << 6) | v;
 
   c = input[2];
   v = DECODE_TABLE[c];
-  validate(v);
+  ET_CHECK_OK_OR_RETURN_ERROR(validate(v));
   val = (val << 6) | v;
 
   c = input[3];
   v = DECODE_TABLE[c];
-  validate(v);
+  ET_CHECK_OK_OR_RETURN_ERROR(validate(v));
   val = (val << 6) | v;
 
   output.push_back(static_cast<char>((val >> 16) & 0xFF));
   output.push_back(static_cast<char>((val >> 8) & 0xFF));
   output.push_back(static_cast<char>(val & 0xFF));
+  return Error::Ok;
 }
 
-inline void decode_1_padding(
+inline Error decode_1_padding(
     const std::string_view& input,
     std::string& output) {
-  ET_CHECK_MSG(
-      input.size() == 3, "input length must be 3, got %zu", input.size());
+  ET_CHECK_OR_RETURN_ERROR(
+      input.size() == 3,
+      InvalidArgument,
+      "input length must be 3, got %zu",
+      input.size());
 
   uint32_t val = 0;
 
   uint8_t c = input[0];
   auto v = DECODE_TABLE[c];
-  validate(v);
+  ET_CHECK_OK_OR_RETURN_ERROR(validate(v));
   val = v;
 
   c = input[1];
   v = DECODE_TABLE[c];
-  validate(v);
+  ET_CHECK_OK_OR_RETURN_ERROR(validate(v));
   val = (val << 6) | v;
 
   c = input[2];
   v = DECODE_TABLE[c];
-  validate(v);
+  ET_CHECK_OK_OR_RETURN_ERROR(validate(v));
   val = (val << 6) | v;
 
   output.push_back(static_cast<char>((val >> 10) & 0xFF));
   output.push_back(static_cast<char>((val >> 2) & 0xFF));
+  return Error::Ok;
 }
 
-inline void decode_2_padding(
+inline Error decode_2_padding(
     const std::string_view& input,
     std::string& output) {
-  assert(input.size() == 2);
+  ET_CHECK_OR_RETURN_ERROR(
+      input.size() == 2,
+      InvalidArgument,
+      "input length must be 2, got %zu",
+      input.size());
 
   uint32_t val = 0;
 
   uint8_t c = input[0];
   auto v = DECODE_TABLE[c];
-  validate(v);
+  ET_CHECK_OK_OR_RETURN_ERROR(validate(v));
   val = v;
 
   c = input[1];
   v = DECODE_TABLE[c];
-  validate(v);
+  ET_CHECK_OK_OR_RETURN_ERROR(validate(v));
   val = (val << 6) | v;
 
   output.push_back(static_cast<char>((val >> 4) & 0xFF));
+  return Error::Ok;
 }
 
 } // namespace detail
 
-inline std::string decode(const std::string_view& input) {
-  ET_CHECK_MSG(!input.empty(), "empty input");
+inline Result<std::string> decode(const std::string_view& input) {
+  ET_CHECK_OR_RETURN_ERROR(!input.empty(), InvalidArgument, "empty input");
 
   // Faster than `input.size() % 4`.
-  ET_CHECK_MSG(
+  ET_CHECK_OR_RETURN_ERROR(
       (input.size() & 3) == 0 && input.size() >= 4,
+      InvalidArgument,
       "input length must be larger than 4 and is multiple of 4, got %zu",
       input.size());
 
@@ -154,21 +176,23 @@ inline std::string decode(const std::string_view& input) {
   output.reserve(input.size() / 4 * 3);
   auto idx = 0U;
   for (; idx < input.size() - 4; idx += 4) {
-    detail::decode(input.substr(idx, 4), output);
+    ET_CHECK_OK_OR_RETURN_ERROR(detail::decode(input.substr(idx, 4), output));
   }
 
   // Last 4 bytes. Might contain paddings.
   if (input[idx + 3] == '=') {
     if (input[idx + 2] == '=') {
       // Tow paddings.
-      detail::decode_2_padding(input.substr(idx, 2), output);
+      ET_CHECK_OK_OR_RETURN_ERROR(
+          detail::decode_2_padding(input.substr(idx, 2), output));
     } else {
       // One padding.
-      detail::decode_1_padding(input.substr(idx, 3), output);
+      ET_CHECK_OK_OR_RETURN_ERROR(
+          detail::decode_1_padding(input.substr(idx, 3), output));
     }
   } else {
     // No padding.
-    detail::decode(input.substr(idx, 4), output);
+    ET_CHECK_OK_OR_RETURN_ERROR(detail::decode(input.substr(idx, 4), output));
   }
 
   return output;
@@ -176,5 +200,16 @@ inline std::string decode(const std::string_view& input) {
 
 } // namespace base64
 
+} // namespace llm
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+namespace base64 {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::llm::base64::decode;
+} // namespace base64
 } // namespace executor
 } // namespace torch
diff --git a/extension/llm/tokenizer/bpe_tokenizer.cpp b/extension/llm/tokenizer/bpe_tokenizer.cpp
index d1edaa0f08..1548f000a5 100644
--- a/extension/llm/tokenizer/bpe_tokenizer.cpp
+++ b/extension/llm/tokenizer/bpe_tokenizer.cpp
@@ -10,8 +10,12 @@
 
 #include <cstring>
 
-namespace torch {
-namespace executor {
+using ::executorch::runtime::Error;
+using ::executorch::runtime::Result;
+
+namespace executorch {
+namespace extension {
+namespace llm {
 
 static int compare_tokens(const void* a, const void* b) {
   if (((TokenIndex*)a)->str == nullptr) {
@@ -190,7 +194,7 @@ BPETokenizer::encode(const std::string& text, int8_t bos, int8_t eos) const {
   std::vector<uint64_t> tokens;
 
   // add optional BOS token, if desired
-  if (bos > 0) {
+  if (bos >= 0) {
     while (bos--) {
       tokens.push_back(bos_tok_);
     }
@@ -311,5 +315,6 @@ BPETokenizer::encode(const std::string& text, int8_t bos, int8_t eos) const {
   return Result(tokens);
 }
 
-} // namespace executor
-} // namespace torch
+} // namespace llm
+} // namespace extension
+} // namespace executorch
diff --git a/extension/llm/tokenizer/bpe_tokenizer.h b/extension/llm/tokenizer/bpe_tokenizer.h
index d398ec1235..7fc7306c10 100644
--- a/extension/llm/tokenizer/bpe_tokenizer.h
+++ b/extension/llm/tokenizer/bpe_tokenizer.h
@@ -11,26 +11,30 @@
 #include <executorch/extension/llm/tokenizer/tokenizer.h>
 #include <memory>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace extension {
+namespace llm {
 
 struct TokenIndex {
   const char* str;
   int32_t id;
 };
 
+// A simple Byte Pair Encoding (BPE) Tokenizer. Note that the current C++ code
+// won't work with this class, it needs to go through tokenizer.py first.
 class BPETokenizer : public Tokenizer {
  public:
   explicit BPETokenizer();
   ~BPETokenizer() override;
 
-  Error load(const std::string& tokenizer_path) override;
+  ::executorch::runtime::Error load(const std::string& tokenizer_path) override;
 
-  Result<std::vector<uint64_t>>
+  ::executorch::runtime::Result<std::vector<uint64_t>>
   encode(const std::string& input, int8_t bos, int8_t eos) const override;
 
-  Result<std::string> decode(uint64_t prev_token, uint64_t token)
-      const override;
+  ::executorch::runtime::Result<std::string> decode(
+      uint64_t prev_token,
+      uint64_t token) const override;
 
  private:
   std::unique_ptr<char*[]> vocab_ = nullptr;
@@ -39,5 +43,16 @@ class BPETokenizer : public Tokenizer {
   unsigned int max_token_length_ = 0;
   unsigned char byte_pieces_[512]; // stores all single-byte strings
 };
+
+} // namespace llm
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::llm::BPETokenizer;
+using ::executorch::extension::llm::TokenIndex;
 } // namespace executor
 } // namespace torch
diff --git a/extension/llm/tokenizer/targets.bzl b/extension/llm/tokenizer/targets.bzl
index 023968165b..fa6cc915c4 100644
--- a/extension/llm/tokenizer/targets.bzl
+++ b/extension/llm/tokenizer/targets.bzl
@@ -11,15 +11,20 @@ def define_common_targets():
         srcs = [
             "__init__.py",
             "tokenizer.py",
+            "utils.py",
         ],
         base_module = "executorch.extension.llm.tokenizer",
         visibility = [
             "//executorch/examples/...",
             "//executorch/extension/llm/tokenizer/...",
+            "//executorch/extension/llm/export/...",
             "//bento/...",
             "//bento_kernels/...",
         ],
         _is_external_target = True,
+        deps = [
+            "//executorch/examples/models/llama2/tokenizer:tiktoken_py",
+        ],
         external_deps = [
             "sentencepiece-py",
         ],
@@ -38,16 +43,29 @@ def define_common_targets():
         ],
     )
 
+    runtime.cxx_library(
+        name = "tokenizer_header",
+        exported_headers = [
+            "tokenizer.h",
+        ],
+        exported_deps = [
+            "//executorch/runtime/core:core",
+        ],
+        visibility = [
+            "@EXECUTORCH_CLIENTS",
+        ],
+    )
+
     runtime.cxx_library(
         name = "bpe_tokenizer",
         srcs = [
             "bpe_tokenizer.cpp",
         ],
         exported_headers = [
-            "tokenizer.h",
             "bpe_tokenizer.h",
         ],
         exported_deps = [
+            ":tokenizer_header",
             "//executorch/runtime/core:core",
         ],
         visibility = [
@@ -61,11 +79,11 @@ def define_common_targets():
             "tiktoken.cpp",
         ],
         exported_headers = [
-            "tokenizer.h",
             "tiktoken.h",
             "base64.h",
         ],
         exported_deps = [
+            ":tokenizer_header",
             "//executorch/runtime/core:core",
         ],
         visibility = [
diff --git a/extension/llm/tokenizer/test/resources/test_tiktoken_invalid_base64.model b/extension/llm/tokenizer/test/resources/test_tiktoken_invalid_base64.model
new file mode 100644
index 0000000000..2d9c39f19d
--- /dev/null
+++ b/extension/llm/tokenizer/test/resources/test_tiktoken_invalid_base64.model
@@ -0,0 +1 @@
+tet 0
diff --git a/extension/llm/tokenizer/test/resources/test_tiktoken_invalid_rank.model b/extension/llm/tokenizer/test/resources/test_tiktoken_invalid_rank.model
new file mode 100644
index 0000000000..07d43b1e43
--- /dev/null
+++ b/extension/llm/tokenizer/test/resources/test_tiktoken_invalid_rank.model
@@ -0,0 +1 @@
+ICAgICAgIA== 18446744073709551616
diff --git a/extension/llm/tokenizer/test/resources/test_tiktoken_no_space.model b/extension/llm/tokenizer/test/resources/test_tiktoken_no_space.model
new file mode 100644
index 0000000000..c025dddd3b
--- /dev/null
+++ b/extension/llm/tokenizer/test/resources/test_tiktoken_no_space.model
@@ -0,0 +1 @@
+ICAgICAgIA==10
diff --git a/extension/llm/tokenizer/test/test_bpe_tokenizer.cpp b/extension/llm/tokenizer/test/test_bpe_tokenizer.cpp
index 17bb83e2f4..c553fe59f9 100644
--- a/extension/llm/tokenizer/test/test_bpe_tokenizer.cpp
+++ b/extension/llm/tokenizer/test/test_bpe_tokenizer.cpp
@@ -13,13 +13,15 @@
 
 using namespace ::testing;
 
-namespace torch {
-namespace executor {
+using ::executorch::extension::llm::BPETokenizer;
+using ::executorch::extension::llm::Tokenizer;
+using ::executorch::runtime::Error;
+using ::executorch::runtime::Result;
 
 class TokenizerExtensionTest : public Test {
  public:
   void SetUp() override {
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
     tokenizer_ = std::make_unique<BPETokenizer>();
     modelPath_ =
         std::getenv("RESOURCES_PATH") + std::string("/test_bpe_tokenizer.bin");
@@ -65,6 +67,3 @@ TEST_F(TokenizerExtensionTest, SafeToDestruct) {
   tokenizer_ = std::make_unique<BPETokenizer>();
   tokenizer_.reset();
 }
-
-} // namespace executor
-} // namespace torch
diff --git a/extension/llm/tokenizer/test/test_tiktoken.cpp b/extension/llm/tokenizer/test/test_tiktoken.cpp
index f423183b8a..ce2a781aa1 100644
--- a/extension/llm/tokenizer/test/test_tiktoken.cpp
+++ b/extension/llm/tokenizer/test/test_tiktoken.cpp
@@ -8,13 +8,16 @@
 
 #include <executorch/extension/llm/tokenizer/tiktoken.h>
 #include <executorch/runtime/platform/runtime.h>
+#include <gmock/gmock.h>
 #include <gtest/gtest.h>
+#include <sstream>
 #include <vector>
 
 using namespace ::testing;
-
-namespace torch {
-namespace executor {
+using ::executorch::extension::llm::Tiktoken;
+using ::executorch::extension::llm::Tokenizer;
+using ::executorch::runtime::Error;
+using ::executorch::runtime::Result;
 
 namespace {
 // Test case based on Llama 2
@@ -49,7 +52,7 @@ static inline std::unique_ptr<std::vector<std::string>> _get_special_tokens() {
 class TiktokenExtensionTest : public Test {
  public:
   void SetUp() override {
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
     tokenizer_ = std::make_unique<Tiktoken>(
         _get_special_tokens(), kBOSTokenIndex, kEOSTokenIndex);
     modelPath_ = std::getenv("RESOURCES_PATH") +
@@ -139,5 +142,47 @@ TEST_F(TiktokenExtensionTest, ConstructionWithInvalidEOSIndex) {
       "");
 #endif
 }
-} // namespace executor
-} // namespace torch
+
+TEST_F(TiktokenExtensionTest, LoadWithInvalidPath) {
+  auto invalidModelPath =
+      std::getenv("RESOURCES_PATH") + std::string("/nonexistent.model");
+
+  Error res = tokenizer_->load(invalidModelPath.c_str());
+  EXPECT_EQ(res, Error::InvalidArgument);
+}
+
+TEST_F(TiktokenExtensionTest, LoadTiktokenFileWithInvalidRank) {
+  auto invalidModelPath = std::getenv("RESOURCES_PATH") +
+      std::string("/test_tiktoken_invalid_rank.model");
+
+  Error res = tokenizer_->load(invalidModelPath.c_str());
+
+  EXPECT_EQ(res, Error::InvalidArgument);
+}
+
+TEST_F(TiktokenExtensionTest, LoadTiktokenFileWithInvalidBase64) {
+  auto invalidModelPath = std::getenv("RESOURCES_PATH") +
+      std::string("/test_tiktoken_invalid_base64.model");
+
+  Error res = tokenizer_->load(invalidModelPath.c_str());
+
+  EXPECT_EQ(res, Error::InvalidArgument);
+}
+
+TEST_F(TiktokenExtensionTest, LoadTiktokenFileWithNoSpace) {
+  auto invalidModelPath = std::getenv("RESOURCES_PATH") +
+      std::string("/test_tiktoken_no_space.model");
+
+  Error res = tokenizer_->load(invalidModelPath.c_str());
+
+  EXPECT_EQ(res, Error::InvalidArgument);
+}
+
+TEST_F(TiktokenExtensionTest, LoadTiktokenFileWithBPEFile) {
+  auto invalidModelPath =
+      std::getenv("RESOURCES_PATH") + std::string("/test_bpe_tokenizer.bin");
+
+  Error res = tokenizer_->load(invalidModelPath.c_str());
+
+  EXPECT_EQ(res, Error::InvalidArgument);
+}
diff --git a/extension/llm/tokenizer/tiktoken.cpp b/extension/llm/tokenizer/tiktoken.cpp
index 5d4831446d..f99ac2e955 100644
--- a/extension/llm/tokenizer/tiktoken.cpp
+++ b/extension/llm/tokenizer/tiktoken.cpp
@@ -27,11 +27,16 @@
 
 #include <executorch/extension/llm/tokenizer/base64.h>
 #include <executorch/extension/llm/tokenizer/tiktoken.h>
+#include <executorch/runtime/core/result.h>
 #include <fstream>
 #include <limits>
 
-namespace torch {
-namespace executor {
+using ::executorch::runtime::Error;
+using ::executorch::runtime::Result;
+
+namespace executorch {
+namespace extension {
+namespace llm {
 
 // ------------------------------Util start------------------------------------
 
@@ -61,33 +66,43 @@ static Re2UPtr _build_special_token_regex(const Encoder& special_encoder) {
   return _create_regex(special_pattern);
 }
 
-static std::pair<std::string, uint64_t> _parse(const std::string& line) {
+static Result<std::pair<std::string, uint64_t>> _parse(
+    const std::string& line) {
+  // Tiktoken format
+  // https://github.com/openai/tiktoken/blob/main/tiktoken/load.py#L140 <base64
+  // encoded token str> <rank>
   auto pos = line.find(" ");
-  ET_CHECK_MSG(
-      pos != std::string::npos, "invalid encoder line: %s", line.c_str());
+  ET_CHECK_OR_RETURN_ERROR(
+      pos != std::string::npos,
+      InvalidArgument,
+      "invalid tiktoken line: %s",
+      line.c_str());
 
-  auto token = base64::decode({line.data(), pos});
+  auto token = ET_UNWRAP(base64::decode({line.data(), pos}));
   uint64_t rank = 0;
   try {
     rank = std::stoul(line.substr(pos + 1));
   } catch (const std::exception&) {
-    ET_CHECK_MSG(false, "invalid encoder rank: %s", line.c_str());
+    ET_CHECK_OR_RETURN_ERROR(
+        false, InvalidArgument, "invalid encoder rank: %s", line.c_str());
   }
 
-  return {std::move(token), rank};
+  return std::pair{std::move(token), rank};
 }
 
-static Encoder _load_encoder(const std::string& path) {
+static Result<Encoder> _load_encoder(const std::string& path) {
   std::ifstream file(path);
-  ET_CHECK_MSG(file, "failed to open encoder file: %s", path.c_str());
+  ET_CHECK_OR_RETURN_ERROR(
+      file, InvalidArgument, "failed to open encoder file: %s", path.c_str());
 
   Encoder encoder;
   std::string line;
   while (std::getline(file, line)) {
-    auto [token, rank] = _parse(line);
+    auto [token, rank] = ET_UNWRAP(_parse(line));
 
-    ET_CHECK_MSG(
+    ET_CHECK_OR_RETURN_ERROR(
         encoder.emplace(std::move(token), rank).second,
+        InvalidArgument,
         "duplicate item: %s",
         line.c_str());
   }
@@ -95,13 +110,16 @@ static Encoder _load_encoder(const std::string& path) {
   return encoder;
 }
 
-static Decoder _build_decoder(const Encoder& encoder) {
+static Result<Decoder> _build_decoder(const Encoder& encoder) {
   Decoder decoder;
   for (const auto& [k, v] : encoder) {
     decoder.emplace(v, k);
   }
 
-  ET_CHECK_MSG(encoder.size() == decoder.size(), "duplicate items in encoder");
+  ET_CHECK_OR_RETURN_ERROR(
+      encoder.size() == decoder.size(),
+      InvalidArgument,
+      "duplicate items in encoder");
 
   return decoder;
 }
@@ -248,7 +266,11 @@ Tiktoken::_split_with_allowed_special_token(
     return std::make_pair(std::nullopt, input);
   }
 
+#if __cplusplus >= 202002L
   auto start = input.begin();
+#else
+  const char* start = input.data();
+#endif
   std::string special;
   while (true) {
     if (!re2::RE2::FindAndConsume(&input, *_special_token_regex, &special)) {
@@ -258,9 +280,15 @@ Tiktoken::_split_with_allowed_special_token(
 
     if (allowed_special.count(special) == 1) {
       // Found an allowed special token, split the text with it.
+#if __cplusplus >= 202002L
       return std::make_pair(
           special,
           re2::StringPiece(start, input.begin() - start - special.size()));
+#else
+      return std::make_pair(
+          special,
+          re2::StringPiece(start, (input.data() - start) - special.size()));
+#endif
     } // else try to find the next special token
   }
 
@@ -352,15 +380,21 @@ Tiktoken::Tiktoken(
 }
 
 Error Tiktoken::load(const std::string& path) {
-  _encoder = _load_encoder(path);
+  _encoder = ET_UNWRAP(_load_encoder(path));
   _special_token_encoder = _build_special_token_encoder(_encoder.size());
 
-  _decoder = _build_decoder(_encoder);
-  _special_token_decoder = _build_decoder(_special_token_encoder);
+  _decoder = ET_UNWRAP(_build_decoder(_encoder));
+  _special_token_decoder = ET_UNWRAP(_build_decoder(_special_token_encoder));
 
   _regex = _create_regex(_pattern);
+  // Warmup re2 as it is slow on the first run, void the return value as it's
+  // not needed Refer to
+  // https://github.com/google/re2/blob/6dcd83d60f7944926bfd308cc13979fc53dd69ca/re2/fuzzing/re2_fuzzer.cc#L136-L141
+  (void)_regex->ReverseProgramSize();
 
   _special_token_regex = _build_special_token_regex(_special_token_encoder);
+  // Same as above, warm up re2
+  (void)_special_token_regex->ReverseProgramSize();
 
   // initialize vocab_size, bos_tok, eos_tok
   vocab_size_ = _encoder.size() + _special_token_encoder.size();
@@ -383,7 +417,7 @@ Tiktoken::encode(const std::string& text, int8_t bos, int8_t eos) const {
   for (auto i = 0; i < eos; ++i) {
     res.push_back(eos_tok_);
   }
-  return Result(res);
+  return Result<std::vector<uint64_t>>(std::move(res));
 }
 
 Result<std::string> Tiktoken::decode(uint64_t prev, uint64_t cur) const {
@@ -409,5 +443,6 @@ Result<std::string> Tiktoken::decode(uint64_t prev, uint64_t cur) const {
 }
 // -------------------------public method end-------------------------------
 
-} // namespace executor
-} // namespace torch
+} // namespace llm
+} // namespace extension
+} // namespace executorch
diff --git a/extension/llm/tokenizer/tiktoken.h b/extension/llm/tokenizer/tiktoken.h
index 4fcdedd768..7d78f8b60d 100644
--- a/extension/llm/tokenizer/tiktoken.h
+++ b/extension/llm/tokenizer/tiktoken.h
@@ -14,8 +14,9 @@
 #include <optional>
 #include <unordered_map>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace extension {
+namespace llm {
 
 using Encoder = std::unordered_map<std::string, uint64_t>;
 using Decoder = std::unordered_map<uint64_t, std::string>;
@@ -32,15 +33,15 @@ class Tiktoken : public Tokenizer {
       std::unique_ptr<std::vector<std::string>> special_tokens,
       size_t bos_token_index,
       size_t eos_token_index);
-  ~Tiktoken() {}
 
-  Error load(const std::string& tokenizer_path) override;
+  ::executorch::runtime::Error load(const std::string& tokenizer_path) override;
 
-  Result<std::vector<uint64_t>>
+  ::executorch::runtime::Result<std::vector<uint64_t>>
   encode(const std::string& input, int8_t bos, int8_t eos) const override;
 
-  Result<std::string> decode(uint64_t prev_token, uint64_t token)
-      const override;
+  ::executorch::runtime::Result<std::string> decode(
+      uint64_t prev_token,
+      uint64_t token) const override;
 
  private:
   template <typename T>
@@ -75,5 +76,18 @@ class Tiktoken : public Tokenizer {
   Re2UPtr _regex;
   Re2UPtr _special_token_regex;
 };
+
+} // namespace llm
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::llm::Decoder;
+using ::executorch::extension::llm::Encoder;
+using ::executorch::extension::llm::Re2UPtr;
+using ::executorch::extension::llm::Tiktoken;
 } // namespace executor
 } // namespace torch
diff --git a/extension/llm/tokenizer/tokenizer.h b/extension/llm/tokenizer/tokenizer.h
index ae193a257a..3115cbdff7 100644
--- a/extension/llm/tokenizer/tokenizer.h
+++ b/extension/llm/tokenizer/tokenizer.h
@@ -6,34 +6,37 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-// A simple Byte Pair Encoding (BPE) Tokenizer. Note that the vanila tokenizer
-// model won't work with this class, it needs to go through tokenizer.py first.
 #pragma once
 
 #include <cinttypes>
+// patternlint-disable-next-line executorch-cpp-nostdinc
 #include <string>
+// patternlint-disable-next-line executorch-cpp-nostdinc
 #include <vector>
 
 #include <executorch/runtime/core/error.h>
 #include <executorch/runtime/core/result.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace extension {
+namespace llm {
 
+// A tokenizer interface.
 class Tokenizer {
  public:
   explicit Tokenizer() {}
   virtual ~Tokenizer() {}
 
-  virtual Error load(const std::string& tokenizer_path) = 0;
+  virtual ::executorch::runtime::Error load(
+      const std::string& tokenizer_path) = 0;
 
-  virtual Result<std::vector<uint64_t>>
+  virtual ::executorch::runtime::Result<std::vector<uint64_t>>
   encode(const std::string& input, int8_t bos, int8_t eos) const = 0;
 
-  Error decode_verify(uint64_t token) const {
+  ::executorch::runtime::Error decode_verify(uint64_t token) const {
     if (!initialized_) {
       ET_LOG(Error, "Tokenizer not initialized");
-      return Error::NotSupported;
+      return ::executorch::runtime::Error::NotSupported;
     }
     if (token >= vocab_size_) {
       ET_LOG(
@@ -41,13 +44,14 @@ class Tokenizer {
           "token  %" PRIu64 " is out side of vacab range %d",
           token,
           vocab_size_);
-      return Error::NotSupported;
+      return ::executorch::runtime::Error::NotSupported;
     }
-    return Error::Ok;
+    return ::executorch::runtime::Error::Ok;
   }
 
-  virtual Result<std::string> decode(uint64_t prev_token, uint64_t token)
-      const = 0;
+  virtual ::executorch::runtime::Result<std::string> decode(
+      uint64_t prev_token,
+      uint64_t token) const = 0;
 
   // getters
   int32_t vocab_size() const {
@@ -69,5 +73,14 @@ class Tokenizer {
   uint64_t eos_tok_ = 0;
 };
 
+} // namespace llm
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::llm::Tokenizer;
 } // namespace executor
 } // namespace torch
diff --git a/extension/llm/tokenizer/utils.py b/extension/llm/tokenizer/utils.py
new file mode 100644
index 0000000000..97aa4bf0c0
--- /dev/null
+++ b/extension/llm/tokenizer/utils.py
@@ -0,0 +1,20 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-ignore: Undefined import [21]: Could not find a module corresponding to import `executorch.examples.models.llama2.tokenizer.tiktoken`.
+from executorch.examples.models.llama2.tokenizer.tiktoken import Tokenizer as Tiktoken
+from executorch.extension.llm.tokenizer.tokenizer import (
+    Tokenizer as SentencePieceTokenizer,
+)
+
+
+def get_tokenizer(tokenizer_path):
+    try:
+        tokenizer = SentencePieceTokenizer(model_path=str(tokenizer_path))
+    except Exception:
+        print("Using Tiktokenizer")
+        tokenizer = Tiktoken(model_path=str(tokenizer_path))
+    return tokenizer
diff --git a/extension/memory_allocator/malloc_memory_allocator.h b/extension/memory_allocator/malloc_memory_allocator.h
index 6625f587aa..7e1cf8b2ab 100644
--- a/extension/memory_allocator/malloc_memory_allocator.h
+++ b/extension/memory_allocator/malloc_memory_allocator.h
@@ -14,9 +14,8 @@
 
 #include <executorch/runtime/core/memory_allocator.h>
 
-namespace torch {
-namespace executor {
-namespace util {
+namespace executorch {
+namespace extension {
 
 /**
  * Dynamically allocates memory using malloc() and frees all pointers at
@@ -25,7 +24,7 @@ namespace util {
  * For systems with malloc(), this can be easier than using a fixed-sized
  * MemoryAllocator.
  */
-class MallocMemoryAllocator : public MemoryAllocator {
+class MallocMemoryAllocator : public executorch::runtime::MemoryAllocator {
  public:
   /**
    * Construct a new Malloc memory allocator via an optional alignment size
@@ -76,6 +75,16 @@ class MallocMemoryAllocator : public MemoryAllocator {
  private:
   std::vector<void*> mem_ptrs_;
 };
+
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+namespace util {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::MallocMemoryAllocator;
 } // namespace util
 } // namespace executor
 } // namespace torch
diff --git a/extension/memory_allocator/test/malloc_memory_allocator_test.cpp b/extension/memory_allocator/test/malloc_memory_allocator_test.cpp
index 05dfafa206..fc2db04bc8 100644
--- a/extension/memory_allocator/test/malloc_memory_allocator_test.cpp
+++ b/extension/memory_allocator/test/malloc_memory_allocator_test.cpp
@@ -12,17 +12,16 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-using torch::executor::util::MallocMemoryAllocator;
+using executorch::extension::MallocMemoryAllocator;
 
-constexpr auto kDefaultAlignment =
-    torch::executor::util::MallocMemoryAllocator::kDefaultAlignment;
+constexpr auto kDefaultAlignment = MallocMemoryAllocator::kDefaultAlignment;
 
 class MallocMemoryAllocatorTest : public ::testing::Test {
  protected:
   void SetUp() override {
     // Since these tests cause ET_LOG to be called, the PAL must be initialized
     // first.
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
   }
 };
 
diff --git a/extension/module/module.cpp b/extension/module/module.cpp
index 57a3008fde..58ada0c246 100644
--- a/extension/module/module.cpp
+++ b/extension/module/module.cpp
@@ -33,70 +33,85 @@
         std::move(*et_result__));                                      \
   })
 
-namespace torch::executor {
+namespace executorch {
+namespace extension {
 
 Module::Module(
     const std::string& file_path,
-    const Module::LoadMode load_mode,
-    std::unique_ptr<EventTracer> event_tracer)
+    const LoadMode load_mode,
+    std::unique_ptr<runtime::EventTracer> event_tracer)
     : file_path_(file_path),
       load_mode_(load_mode),
-      memory_allocator_(std::make_unique<util::MallocMemoryAllocator>()),
-      temp_allocator_(std::make_unique<util::MallocMemoryAllocator>()),
+      memory_allocator_(std::make_unique<MallocMemoryAllocator>()),
+      temp_allocator_(std::make_unique<MallocMemoryAllocator>()),
       event_tracer_(std::move(event_tracer)) {
-  runtime_init();
+  runtime::runtime_init();
 }
 
 Module::Module(
-    std::unique_ptr<DataLoader> data_loader,
-    std::unique_ptr<MemoryAllocator> memory_allocator,
-    std::unique_ptr<MemoryAllocator> temp_allocator,
-    std::unique_ptr<EventTracer> event_tracer)
+    std::unique_ptr<runtime::DataLoader> data_loader,
+    std::unique_ptr<runtime::MemoryAllocator> memory_allocator,
+    std::unique_ptr<runtime::MemoryAllocator> temp_allocator,
+    std::unique_ptr<runtime::EventTracer> event_tracer)
     : data_loader_(std::move(data_loader)),
       memory_allocator_(
           memory_allocator ? std::move(memory_allocator)
-                           : std::make_unique<util::MallocMemoryAllocator>()),
+                           : std::make_unique<MallocMemoryAllocator>()),
       temp_allocator_(
           temp_allocator ? std::move(temp_allocator)
-                         : std::make_unique<util::MallocMemoryAllocator>()),
+                         : std::make_unique<MallocMemoryAllocator>()),
       event_tracer_(std::move(event_tracer)) {
-  runtime_init();
+  runtime::runtime_init();
 }
 
-Error Module::load(const Program::Verification verification) {
+Module::Module(
+    std::shared_ptr<runtime::Program> program,
+    std::unique_ptr<runtime::MemoryAllocator> memory_allocator,
+    std::unique_ptr<runtime::MemoryAllocator> temp_allocator,
+    std::unique_ptr<runtime::EventTracer> event_tracer)
+    : program_(std::move(program)),
+      memory_allocator_(
+          memory_allocator ? std::move(memory_allocator)
+                           : std::make_unique<MallocMemoryAllocator>()),
+      temp_allocator_(
+          temp_allocator ? std::move(temp_allocator)
+                         : std::make_unique<MallocMemoryAllocator>()),
+      event_tracer_(std::move(event_tracer)) {
+  runtime::runtime_init();
+}
+
+runtime::Error Module::load(const runtime::Program::Verification verification) {
   if (!is_loaded()) {
     if (!data_loader_) {
       switch (load_mode_) {
         case LoadMode::File:
           data_loader_ =
-              ET_UNWRAP_UNIQUE(util::FileDataLoader::from(file_path_.c_str()));
+              ET_UNWRAP_UNIQUE(FileDataLoader::from(file_path_.c_str()));
           break;
         case LoadMode::Mmap:
-          data_loader_ =
-              ET_UNWRAP_UNIQUE(util::MmapDataLoader::from(file_path_.c_str()));
+          data_loader_ = ET_UNWRAP_UNIQUE(MmapDataLoader::from(
+              file_path_.c_str(), MmapDataLoader::MlockConfig::NoMlock));
           break;
         case LoadMode::MmapUseMlock:
-          data_loader_ = ET_UNWRAP_UNIQUE(util::MmapDataLoader::from(
-              file_path_.c_str(), util::MmapDataLoader::MlockConfig::NoMlock));
+          data_loader_ =
+              ET_UNWRAP_UNIQUE(MmapDataLoader::from(file_path_.c_str()));
           break;
         case LoadMode::MmapUseMlockIgnoreErrors:
-          data_loader_ = ET_UNWRAP_UNIQUE(util::MmapDataLoader::from(
+          data_loader_ = ET_UNWRAP_UNIQUE(MmapDataLoader::from(
               file_path_.c_str(),
-              util::MmapDataLoader::MlockConfig::UseMlockIgnoreErrors));
+              MmapDataLoader::MlockConfig::UseMlockIgnoreErrors));
           break;
       }
     };
-    program_ =
-        ET_UNWRAP_UNIQUE(Program::load(data_loader_.get(), verification));
+    auto program = ET_UNWRAP_UNIQUE(
+        runtime::Program::load(data_loader_.get(), verification));
+    program_ = std::shared_ptr<runtime::Program>(
+        program.release(), [](runtime::Program* pointer) { delete pointer; });
   }
-  return Error::Ok;
+  return runtime::Error::Ok;
 }
 
-bool Module::is_loaded() const {
-  return program_ != nullptr;
-}
-
-Result<std::unordered_set<std::string>> Module::method_names() {
+runtime::Result<std::unordered_set<std::string>> Module::method_names() {
   ET_CHECK_OK_OR_RETURN_ERROR(load());
   const auto method_count = program_->num_methods();
   std::unordered_set<std::string> result;
@@ -108,7 +123,9 @@ Result<std::unordered_set<std::string>> Module::method_names() {
   return result;
 }
 
-Error Module::load_method(const std::string& method_name) {
+runtime::Error Module::load_method(
+    const std::string& method_name,
+    torch::executor::EventTracer* tracer) {
   if (!is_method_loaded(method_name)) {
     ET_CHECK_OK_OR_RETURN_ERROR(load());
 
@@ -127,55 +144,95 @@ Error Module::load_method(const std::string& method_name) {
       method_holder.planned_spans.emplace_back(
           method_holder.planned_buffers.back().data(), buffer_size);
     }
-    method_holder.planned_memory = std::make_unique<HierarchicalAllocator>(Span(
-        method_holder.planned_spans.data(),
-        method_holder.planned_spans.size()));
-    method_holder.memory_manager = std::make_unique<MemoryManager>(
+    method_holder.planned_memory =
+        std::make_unique<runtime::HierarchicalAllocator>(runtime::Span(
+            method_holder.planned_spans.data(),
+            method_holder.planned_spans.size()));
+    method_holder.memory_manager = std::make_unique<runtime::MemoryManager>(
         memory_allocator_.get(),
         method_holder.planned_memory.get(),
         temp_allocator_.get());
     method_holder.method = ET_UNWRAP_UNIQUE(program_->load_method(
-        method_name.c_str(),
-        method_holder.memory_manager.get(),
-        event_tracer_.get()));
+        method_name.c_str(), method_holder.memory_manager.get(), tracer));
+    method_holder.inputs.resize(method_holder.method->inputs_size());
     methods_.emplace(method_name, std::move(method_holder));
   }
-  return Error::Ok;
-}
-
-bool Module::is_method_loaded(const std::string& method_name) const {
-  return methods_.count(method_name);
+  return runtime::Error::Ok;
 }
 
-Result<MethodMeta> Module::method_meta(const std::string& method_name) {
+runtime::Result<runtime::MethodMeta> Module::method_meta(
+    const std::string& method_name) {
   ET_CHECK_OK_OR_RETURN_ERROR(load_method(method_name));
   return methods_.at(method_name).method->method_meta();
 }
 
-Result<std::vector<EValue>> Module::execute(
+runtime::Result<std::vector<runtime::EValue>> Module::execute(
     const std::string& method_name,
-    const std::vector<EValue>& input) {
+    const std::vector<runtime::EValue>& input_values) {
   ET_CHECK_OK_OR_RETURN_ERROR(load_method(method_name));
   auto& method = methods_.at(method_name).method;
+  auto& inputs = methods_.at(method_name).inputs;
 
-  for (auto index = 0; index < input.size(); ++index) {
-    ET_CHECK_OK_OR_RETURN_ERROR(method->set_input(input[index], index));
+  for (size_t i = 0; i < input_values.size(); ++i) {
+    if (!input_values[i].isNone()) {
+      inputs[i] = input_values[i];
+    }
   }
+  for (size_t i = 0; i < inputs.size(); ++i) {
+    ET_CHECK_OR_RETURN_ERROR(
+        !inputs[i].isNone(), InvalidArgument, "input %zu is none", i);
+  }
+  ET_CHECK_OK_OR_RETURN_ERROR(method->set_inputs(
+      exec_aten::ArrayRef<runtime::EValue>(inputs.data(), inputs.size())));
   ET_CHECK_OK_OR_RETURN_ERROR(method->execute());
 
   const auto outputs_size = method->outputs_size();
-  std::vector<EValue> outputs(outputs_size);
+  std::vector<runtime::EValue> outputs(outputs_size);
   ET_CHECK_OK_OR_RETURN_ERROR(
       method->get_outputs(outputs.data(), outputs_size));
 
   return outputs;
 }
 
-Error Module::set_output_data_ptr(Tensor& output_tensor, size_t output_index) {
-  ET_CHECK_OK_OR_RETURN_ERROR(load_method("forward"));
-  auto& method = methods_.at("forward").method;
+runtime::Error Module::set_input(
+    const std::string& method_name,
+    const runtime::EValue& input_value,
+    size_t input_index) {
+  ET_CHECK_OK_OR_RETURN_ERROR(load_method(method_name));
+  methods_.at(method_name).inputs.at(input_index) = input_value;
+  return runtime::Error::Ok;
+}
+
+runtime::Error Module::set_inputs(
+    const std::string& method_name,
+    const std::vector<runtime::EValue>& input_values) {
+  ET_CHECK_OK_OR_RETURN_ERROR(load_method(method_name));
+  auto& inputs = methods_.at(method_name).inputs;
+  ET_CHECK_OR_RETURN_ERROR(
+      inputs.size() == input_values.size(),
+      InvalidArgument,
+      "input size: %zu does not match method input size: %zu",
+      input_values.size(),
+      inputs.size());
+  inputs = input_values;
+  return runtime::Error::Ok;
+}
+
+runtime::Error Module::set_output(
+    const std::string& method_name,
+    runtime::EValue output_value,
+    size_t output_index) {
+  ET_CHECK_OK_OR_RETURN_ERROR(load_method(method_name));
+  auto& method = methods_.at(method_name).method;
+  ET_CHECK_OR_RETURN_ERROR(
+      output_value.isTensor(),
+      InvalidArgument,
+      "output type: %zu is not tensor",
+      (size_t)output_value.tag);
+  const auto& output_tensor = output_value.toTensor();
   return method->set_output_data_ptr(
       output_tensor.mutable_data_ptr(), output_tensor.nbytes(), output_index);
 }
 
-} // namespace torch::executor
+} // namespace extension
+} // namespace executorch
diff --git a/extension/module/module.h b/extension/module/module.h
index c8093ecdd2..f7c9b1c8c5 100644
--- a/extension/module/module.h
+++ b/extension/module/module.h
@@ -16,12 +16,13 @@
 
 #include <executorch/runtime/executor/program.h>
 
-namespace torch::executor {
+namespace executorch {
+namespace extension {
 
 /**
  * A facade class for loading programs and executing methods within them.
  */
-class Module final {
+class Module {
  public:
   /**
    * Enum to define loading behavior.
@@ -43,11 +44,12 @@ class Module final {
    *
    * @param[in] file_path The path to the ExecuTorch program file to load.
    * @param[in] load_mode The loading mode to use.
+   * @param[in] event_tracer A EventTracer used for tracking and logging events.
    */
   explicit Module(
       const std::string& file_path,
       const LoadMode load_mode = LoadMode::MmapUseMlock,
-      std::unique_ptr<EventTracer> event_tracer = nullptr);
+      std::unique_ptr<runtime::EventTracer> event_tracer = nullptr);
 
   /**
    * Constructs an instance with the provided data loader and memory allocator.
@@ -59,34 +61,63 @@ class Module final {
    * @param[in] event_tracer A EventTracer used for tracking and logging events.
    */
   explicit Module(
-      std::unique_ptr<DataLoader> data_loader,
-      std::unique_ptr<MemoryAllocator> memory_allocator = nullptr,
-      std::unique_ptr<MemoryAllocator> temp_allocator = nullptr,
-      std::unique_ptr<EventTracer> event_tracer = nullptr);
+      std::unique_ptr<runtime::DataLoader> data_loader,
+      std::unique_ptr<runtime::MemoryAllocator> memory_allocator = nullptr,
+      std::unique_ptr<runtime::MemoryAllocator> temp_allocator = nullptr,
+      std::unique_ptr<runtime::EventTracer> event_tracer = nullptr);
+
+  /**
+   * Constructs an instance using an existing shared program.
+   *
+   * @param[in] program The shared program to use. It's required the data loader
+   * the program uses is valid for the lifetime of the program.
+   * @param[in] memory_allocator A MemoryAllocator used for memory management.
+   * @param[in] temp_allocator A MemoryAllocator to use when allocating
+   * temporary data.
+   * @param[in] event_tracer A EventTracer used for tracking and logging events.
+   */
+  explicit Module(
+      std::shared_ptr<runtime::Program> program,
+      std::unique_ptr<runtime::MemoryAllocator> memory_allocator = nullptr,
+      std::unique_ptr<runtime::MemoryAllocator> temp_allocator = nullptr,
+      std::unique_ptr<runtime::EventTracer> event_tracer = nullptr);
+
   Module(const Module&) = delete;
   Module& operator=(const Module&) = delete;
-  Module(Module&&) = default;
-  Module& operator=(Module&&) = default;
+  Module(Module&&) = delete;
+  Module& operator=(Module&&) = delete;
 
   /**
-   * Loads the program using the specified data loader and memory allocator.
+   * Loads the program if needed.
    *
    * @param[in] verification The type of verification to do before returning
    * success.
    *
    * @returns An Error to indicate success or failure of the loading process.
    */
-  __ET_NODISCARD
-  Error load(
-      const Program::Verification verification =
-          Program::Verification::Minimal);
+  ET_NODISCARD
+  runtime::Error load(
+      const runtime::Program::Verification verification =
+          runtime::Program::Verification::Minimal);
 
   /**
    * Checks if the program is loaded.
    *
    * @returns true if the program is loaded, false otherwise.
    */
-  bool is_loaded() const;
+  inline bool is_loaded() const {
+    return program_ != nullptr;
+  }
+
+  /**
+   * Get the program. The data loader used by the program is guaranteed to be
+   * valid for the lifetime of the program.
+   *
+   * @returns Shared pointer to the program or nullptr if it's not yet loaded.
+   */
+  inline std::shared_ptr<runtime::Program> program() const {
+    return program_;
+  }
 
   /**
    * Get a list of method names available in the loaded program.
@@ -95,18 +126,35 @@ class Module final {
    * @returns A set of strings containing the names of the methods, or an error
    * if the program or method failed to load.
    */
-  Result<std::unordered_set<std::string>> method_names();
+  runtime::Result<std::unordered_set<std::string>> method_names();
 
   /**
    * Load a specific method from the program and set up memory management if
    * needed. The loaded method is cached to reuse the next time it's executed.
    *
    * @param[in] method_name The name of the method to load.
+   * @param[in] event_tracer A EventTracer used for tracking and logging events.
    *
    * @returns An Error to indicate success or failure.
    */
-  __ET_NODISCARD
-  Error load_method(const std::string& method_name);
+  ET_NODISCARD
+  runtime::Error load_method(
+      const std::string& method_name,
+      torch::executor::EventTracer* event_tracer = nullptr);
+
+  /**
+   * Load the 'forward' method from the program and set up memory management if
+   * needed. The loaded method is cached to reuse the next time it's executed.
+   *
+   * @param[in] event_tracer An event tracer used for tracking and logging
+   * events.
+   *
+   * @returns An Error to indicate success or failure.
+   */
+  ET_NODISCARD inline runtime::Error load_forward(
+      torch::executor::EventTracer* event_tracer = nullptr) {
+    return load_method("forward", event_tracer);
+  }
 
   /**
    * Checks if a specific method is loaded.
@@ -116,7 +164,9 @@ class Module final {
    * @returns true if the method specified by method_name is loaded, false
    * otherwise.
    */
-  bool is_method_loaded(const std::string& method_name) const;
+  inline bool is_method_loaded(const std::string& method_name) const {
+    return methods_.count(method_name);
+  }
 
   /**
    * Get a method metadata struct by method name.
@@ -127,22 +177,40 @@ class Module final {
    * @returns A method metadata, or an error if the program or method failed to
    * load.
    */
-  Result<MethodMeta> method_meta(const std::string& method_name);
+  runtime::Result<runtime::MethodMeta> method_meta(
+      const std::string& method_name);
 
   /**
-   * Execute a specific method with the given input and retrieve output.
+   * Execute a specific method with the given input values and retrieve the
+   * output values. Loads the program and method before executing if needed.
+   *
+   * @param[in] method_name The name of the method to execute.
+   * @param[in] input_values A vector of input values to be passed to the
+   * method.
+   *
+   * @returns A Result object containing either a vector of output values
+   *          from the method or an error to indicate failure.
+   */
+  ET_NODISCARD
+  runtime::Result<std::vector<runtime::EValue>> execute(
+      const std::string& method_name,
+      const std::vector<runtime::EValue>& input_values);
+
+  /**
+   * Execute a specific method with a single input value.
    * Loads the program and method before executing if needed.
    *
    * @param[in] method_name The name of the method to execute.
-   * @param[in] input A vector of input values to be passed to the method.
+   * @param[in] input_value A value to be passed to the method.
    *
    * @returns A Result object containing either a vector of output values
    *          from the method or an error to indicate failure.
    */
-  __ET_NODISCARD
-  Result<std::vector<EValue>> execute(
+  ET_NODISCARD inline runtime::Result<std::vector<runtime::EValue>> execute(
       const std::string& method_name,
-      const std::vector<EValue>& input);
+      const runtime::EValue& input_value) {
+    return execute(method_name, std::vector<runtime::EValue>{input_value});
+  }
 
   /**
    * Execute a specific method without any input values.
@@ -153,23 +221,88 @@ class Module final {
    * @returns A Result object containing either a vector of output values
    *          from the method or an error to indicate failure.
    */
-  __ET_NODISCARD
-  Result<std::vector<EValue>> execute(const std::string& method_name) {
-    return execute(method_name, {});
+  ET_NODISCARD inline runtime::Result<std::vector<runtime::EValue>> execute(
+      const std::string& method_name) {
+    return execute(method_name, std::vector<runtime::EValue>{});
+  }
+
+  /**
+   * Retrieve the output value of a specific method with the given input values.
+   * Loads the program and method before execution if needed.
+   *
+   * @param[in] method_name The name of the method to execute.
+   * @param[in] input_values A vector of input values to be passed to the
+   * method.
+   *
+   * @returns A Result object containing either the first output value from the
+   * method or an error to indicate failure.
+   */
+  ET_NODISCARD inline runtime::Result<runtime::EValue> get(
+      const std::string& method_name,
+      const std::vector<runtime::EValue>& input_values) {
+    auto result = ET_UNWRAP(execute(method_name, input_values));
+    if (result.empty()) {
+      return runtime::Error::InvalidArgument;
+    }
+    return result[0];
+  }
+
+  /**
+   * Retrieve the output value of a specific method with a single input value.
+   * Loads the program and method before execution if needed.
+   *
+   * @param[in] method_name The name of the method to execute.
+   * @param[in] input_value A value to be passed to the method.
+   *
+   * @returns A Result object containing either the first output value from the
+   * method or an error to indicate failure.
+   */
+  ET_NODISCARD inline runtime::Result<runtime::EValue> get(
+      const std::string& method_name,
+      const runtime::EValue& input_value) {
+    return get(method_name, std::vector<runtime::EValue>{input_value});
   }
 
   /**
-   * Execute the 'forward' method with the given input and retrieve output.
+   * Retrieve the output value of a specific method without any input values.
+   * Loads the program and method before execution if needed.
+   *
+   * @param[in] method_name The name of the method to execute.
+   *
+   * @returns A Result object containing either the first output value from the
+   * method or an error to indicate failure.
+   */
+  ET_NODISCARD inline runtime::Result<runtime::EValue> get(
+      const std::string& method_name) {
+    return get(method_name, std::vector<runtime::EValue>{});
+  }
+
+  /**
+   * Execute the 'forward' method with the given input values and retrieve the
+   * output values. Loads the program and method before executing if needed.
+   *
+   * @param[in] input_values A vector of input values for the 'forward' method.
+   *
+   * @returns A Result object containing either a vector of output values
+   *          from the 'forward' method or an error to indicate failure.
+   */
+  ET_NODISCARD inline runtime::Result<std::vector<runtime::EValue>> forward(
+      const std::vector<runtime::EValue>& input_values) {
+    return execute("forward", input_values);
+  }
+
+  /**
+   * Execute the 'forward' method with a single value.
    * Loads the program and method before executing if needed.
    *
-   * @param[in] input A vector of input values for the 'forward' method.
+   * @param[in] input_value A value for the 'forward' method.
    *
    * @returns A Result object containing either a vector of output values
    *          from the 'forward' method or an error to indicate failure.
    */
-  __ET_NODISCARD
-  Result<std::vector<EValue>> forward(const std::vector<EValue>& input) {
-    return execute("forward", input);
+  ET_NODISCARD inline runtime::Result<std::vector<runtime::EValue>> forward(
+      const runtime::EValue& input_value) {
+    return forward(std::vector<runtime::EValue>{input_value});
   }
 
   /**
@@ -179,9 +312,100 @@ class Module final {
    * @returns A Result object containing either a vector of output values
    *          from the 'forward' method or an error to indicate failure.
    */
-  __ET_NODISCARD
-  Result<std::vector<EValue>> forward() {
-    return forward({});
+  ET_NODISCARD inline runtime::Result<std::vector<runtime::EValue>> forward() {
+    return forward(std::vector<runtime::EValue>{});
+  }
+
+  /**
+   * Sets a single input value for a specific method.
+   *
+   * @param[in] method_name The name of the method.
+   * @param[in] input_value The EValue to set as the method input.
+   * @param[in] input_index Zero-based index of the input to set.
+   *
+   * @returns An Error to indicate success or failure.
+   */
+  ET_NODISCARD
+  runtime::Error set_input(
+      const std::string& method_name,
+      const runtime::EValue& input_value,
+      size_t input_index);
+
+  /**
+   * Sets a single input value for the "forward" method.
+   *
+   * @param[in] input_value The EValue to set as the method input.
+   * @param[in] input_index Zero-based index of the input to set.
+   *
+   * @returns An Error to indicate success or failure.
+   */
+  ET_NODISCARD
+  inline runtime::Error set_input(
+      const runtime::EValue& input_value,
+      size_t input_index) {
+    return set_input("forward", input_value, input_index);
+  }
+
+  /**
+   * Sets all input values for a specific method.
+   *
+   * @param[in] method_name The name of the method.
+   * @param[in] input_values A vector of EValues to set as the method inputs.
+   *
+   * @returns An Error to indicate success or failure.
+   */
+  ET_NODISCARD
+  runtime::Error set_inputs(
+      const std::string& method_name,
+      const std::vector<runtime::EValue>& input_values);
+
+  /**
+   * Sets all input values for the "forward" method.
+   *
+   * @param[in] input_values A vector of EValues to set as the method inputs.
+   *
+   * @returns An Error to indicate success or failure.
+   */
+  ET_NODISCARD
+  inline runtime::Error set_inputs(
+      const std::vector<runtime::EValue>& input_values) {
+    return set_inputs("forward", input_values);
+  }
+
+  /**
+   * Sets the output tensor for a specific method.
+   *
+   * @param[in] method_name The name of the method.
+   * @param[in] output_value The EValue containing the Tensor to set as the
+   * method output.
+   * @param[in] output_index Zero-based index of the output to set.
+   *
+   * @returns An Error to indicate success or failure.
+   *
+   * @note Only Tensor outputs are currently supported for setting.
+   */
+  ET_NODISCARD
+  runtime::Error set_output(
+      const std::string& method_name,
+      runtime::EValue output_value,
+      size_t output_index = 0);
+
+  /**
+   * Sets the output tensor for the "forward" method.
+   *
+   * @param[in] output_value The EValue containing the Tensor to set as the
+   * method output.
+   * @param[in] output_index Zero-based index of the output to set.
+   *
+   * @returns An Error to indicate success or failure.
+   *
+   * @note Only Tensor outputs are currently supported for setting.
+   */
+  ET_NODISCARD
+  inline runtime::Error set_output(
+      runtime::EValue output_value,
+      size_t output_index = 0) {
+    return set_output("forward", std::move(output_value), output_index);
   }
 
   /**
@@ -192,38 +416,42 @@ class Module final {
    * @returns A pointer to the EventTracer instance. Returns nullptr if no
    * EventTracer is set.
    */
-  EventTracer* event_tracer() const {
+  inline runtime::EventTracer* event_tracer() const {
     return event_tracer_.get();
   }
 
-  /**
-   * Set output data pointer for forward method.
-   *
-   * @param[in] output_tensor A Tensor for the output of 'forward' method.
-   * @param[in] output_index Index of the output in 'forward' method.
-   *
-   * @returns An Error to indicate success or failure of the loading process.
-   */
-  Error set_output_data_ptr(Tensor& output_tensor, size_t output_index);
-
  private:
   struct MethodHolder {
     std::vector<std::vector<uint8_t>> planned_buffers;
-    std::vector<Span<uint8_t>> planned_spans;
-    std::unique_ptr<HierarchicalAllocator> planned_memory;
-    std::unique_ptr<MemoryManager> memory_manager;
-    std::unique_ptr<Method> method;
+    std::vector<runtime::Span<uint8_t>> planned_spans;
+    std::unique_ptr<runtime::HierarchicalAllocator> planned_memory;
+    std::unique_ptr<runtime::MemoryManager> memory_manager;
+    std::unique_ptr<runtime::Method> method;
+    std::vector<runtime::EValue> inputs;
   };
 
  private:
   std::string file_path_;
   LoadMode load_mode_{LoadMode::MmapUseMlock};
-  std::unique_ptr<DataLoader> data_loader_;
-  std::unique_ptr<MemoryAllocator> memory_allocator_;
-  std::unique_ptr<MemoryAllocator> temp_allocator_;
-  std::unique_ptr<EventTracer> event_tracer_;
-  std::unique_ptr<Program> program_;
+  std::shared_ptr<runtime::Program> program_;
+  std::unique_ptr<runtime::DataLoader> data_loader_;
+  std::unique_ptr<runtime::MemoryAllocator> memory_allocator_;
+  std::unique_ptr<runtime::MemoryAllocator> temp_allocator_;
+  std::unique_ptr<runtime::EventTracer> event_tracer_;
+
+ protected:
   std::unordered_map<std::string, MethodHolder> methods_;
+
+  friend class ExecuTorchJni;
 };
 
-} // namespace torch::executor
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::Module;
+} // namespace executor
+} // namespace torch
diff --git a/extension/module/test/CMakeLists.txt b/extension/module/test/CMakeLists.txt
index 94c2448859..ff8a5ee904 100644
--- a/extension/module/test/CMakeLists.txt
+++ b/extension/module/test/CMakeLists.txt
@@ -32,6 +32,7 @@ et_cxx_test(
   EXTRA_LIBS
   extension_data_loader
   extension_module_static
+  extension_tensor
   portable_kernels
   portable_ops_lib
 )
diff --git a/extension/module/test/module_test.cpp b/extension/module/test/module_test.cpp
index 6c13c43cb9..86b9d849a2 100644
--- a/extension/module/test/module_test.cpp
+++ b/extension/module/test/module_test.cpp
@@ -6,19 +6,32 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-#include <gtest/gtest.h>
-
 #include <executorch/extension/module/module.h>
+
 #include <array>
+#include <thread>
+
+#include <gtest/gtest.h>
 
-using namespace ::testing;
+#include <executorch/extension/data_loader/file_data_loader.h>
+#include <executorch/extension/tensor/tensor.h>
 
-namespace torch::executor {
+using namespace ::executorch::extension;
+using namespace ::executorch::runtime;
 
-class ModuleTest : public ::testing::Test {};
+class ModuleTest : public ::testing::Test {
+ protected:
+  static void SetUpTestSuite() {
+    model_path_ = std::getenv("RESOURCES_PATH") + std::string("/add.pte");
+  }
+
+  static std::string model_path_;
+};
+
+std::string ModuleTest::model_path_;
 
 TEST_F(ModuleTest, TestLoad) {
-  Module module(std::getenv("RESOURCES_PATH") + std::string("/model.pte"));
+  Module module(model_path_);
 
   EXPECT_FALSE(module.is_loaded());
   const auto error = module.load();
@@ -43,10 +56,10 @@ TEST_F(ModuleTest, TestLoadCorruptedFile) {
 }
 
 TEST_F(ModuleTest, TestMethodNames) {
-  Module module(std::getenv("RESOURCES_PATH") + std::string("/model.pte"));
+  Module module(model_path_);
 
   const auto method_names = module.method_names();
-  EXPECT_TRUE(method_names.ok());
+  EXPECT_EQ(method_names.error(), Error::Ok);
   EXPECT_EQ(method_names.get(), std::unordered_set<std::string>{"forward"});
 }
 
@@ -54,11 +67,11 @@ TEST_F(ModuleTest, TestNonExistentMethodNames) {
   Module module("/path/to/nonexistent/file.pte");
 
   const auto method_names = module.method_names();
-  EXPECT_FALSE(method_names.ok());
+  EXPECT_NE(method_names.error(), Error::Ok);
 }
 
 TEST_F(ModuleTest, TestLoadMethod) {
-  Module module(std::getenv("RESOURCES_PATH") + std::string("/model.pte"));
+  Module module(model_path_);
 
   EXPECT_FALSE(module.is_method_loaded("forward"));
   const auto error = module.load_method("forward");
@@ -68,7 +81,7 @@ TEST_F(ModuleTest, TestLoadMethod) {
 }
 
 TEST_F(ModuleTest, TestLoadNonExistentMethod) {
-  Module module(std::getenv("RESOURCES_PATH") + std::string("/model.pte"));
+  Module module(model_path_);
 
   const auto error = module.load_method("backward");
   EXPECT_NE(error, Error::Ok);
@@ -77,26 +90,25 @@ TEST_F(ModuleTest, TestLoadNonExistentMethod) {
 }
 
 TEST_F(ModuleTest, TestMethodMeta) {
-  Module module(std::getenv("RESOURCES_PATH") + std::string("/model.pte"));
+  Module module(model_path_);
 
   const auto meta = module.method_meta("forward");
-  EXPECT_TRUE(meta.ok());
+  EXPECT_EQ(meta.error(), Error::Ok);
   EXPECT_STREQ(meta->name(), "forward");
-  EXPECT_EQ(meta->num_inputs(), 1);
+  EXPECT_EQ(meta->num_inputs(), 2);
   EXPECT_EQ(*(meta->input_tag(0)), Tag::Tensor);
   EXPECT_EQ(meta->num_outputs(), 1);
   EXPECT_EQ(*(meta->output_tag(0)), Tag::Tensor);
 
   const auto input_meta = meta->input_tensor_meta(0);
-  EXPECT_TRUE(input_meta.ok());
-  EXPECT_EQ(input_meta->scalar_type(), ScalarType::Float);
-  EXPECT_EQ(input_meta->sizes().size(), 2);
+  EXPECT_EQ(input_meta.error(), Error::Ok);
+  EXPECT_EQ(input_meta->scalar_type(), exec_aten::ScalarType::Float);
+  EXPECT_EQ(input_meta->sizes().size(), 1);
   EXPECT_EQ(input_meta->sizes()[0], 1);
-  EXPECT_EQ(input_meta->sizes()[1], 2);
 
   const auto output_meta = meta->output_tensor_meta(0);
-  EXPECT_TRUE(output_meta.ok());
-  EXPECT_EQ(output_meta->scalar_type(), ScalarType::Float);
+  EXPECT_EQ(output_meta.error(), Error::Ok);
+  EXPECT_EQ(output_meta->scalar_type(), exec_aten::ScalarType::Float);
   EXPECT_EQ(output_meta->sizes().size(), 1);
   EXPECT_EQ(output_meta->sizes()[0], 1);
 }
@@ -105,67 +117,58 @@ TEST_F(ModuleTest, TestNonExistentMethodMeta) {
   Module module("/path/to/nonexistent/file.pte");
 
   const auto meta = module.method_meta("forward");
-  EXPECT_FALSE(meta.ok());
+  EXPECT_NE(meta.error(), Error::Ok);
 }
 
 TEST_F(ModuleTest, TestExecute) {
-  Module module(std::getenv("RESOURCES_PATH") + std::string("/model.pte"));
+  Module module(model_path_);
+  auto tensor = make_tensor_ptr({1.f});
 
-  std::array<float, 2> input{1, 2};
-  std::array<int32_t, 2> sizes{1, 2};
-  TensorImpl tensor(
-      ScalarType::Float, sizes.size(), sizes.data(), input.data());
+  const auto result = module.execute("forward", {tensor, tensor});
+  EXPECT_EQ(result.error(), Error::Ok);
 
-  const auto result = module.execute("forward", {EValue(Tensor(&tensor))});
-  EXPECT_TRUE(result.ok());
   EXPECT_TRUE(module.is_loaded());
   EXPECT_TRUE(module.is_method_loaded("forward"));
 
   const auto data = result->at(0).toTensor().const_data_ptr<float>();
 
-  EXPECT_NEAR(data[0], 1.5, 1e-5);
+  EXPECT_NEAR(data[0], 2, 1e-5);
 }
 
 TEST_F(ModuleTest, TestExecutePreload) {
-  Module module(std::getenv("RESOURCES_PATH") + std::string("/model.pte"));
+  Module module(model_path_);
 
   const auto error = module.load();
   EXPECT_EQ(error, Error::Ok);
 
-  std::array<float, 2> input{1, 2};
-  std::array<int32_t, 2> sizes{1, 2};
-  TensorImpl tensor(
-      ScalarType::Float, sizes.size(), sizes.data(), input.data());
+  auto tensor = make_tensor_ptr({1.f});
 
-  const auto result = module.execute("forward", {EValue(Tensor(&tensor))});
-  EXPECT_TRUE(result.ok());
+  const auto result = module.execute("forward", {tensor, tensor});
+  EXPECT_EQ(result.error(), Error::Ok);
 
   const auto data = result->at(0).toTensor().const_data_ptr<float>();
 
-  EXPECT_NEAR(data[0], 1.5, 1e-5);
+  EXPECT_NEAR(data[0], 2, 1e-5);
 }
 
 TEST_F(ModuleTest, TestExecutePreload_method) {
-  Module module(std::getenv("RESOURCES_PATH") + std::string("/model.pte"));
+  Module module(model_path_);
 
   const auto error = module.load_method("forward");
   EXPECT_EQ(error, Error::Ok);
 
-  std::array<float, 2> input{1, 2};
-  std::array<int32_t, 2> sizes{1, 2};
-  TensorImpl tensor(
-      ScalarType::Float, sizes.size(), sizes.data(), input.data());
+  auto tensor = make_tensor_ptr({1.f});
 
-  const auto result = module.execute("forward", {EValue(Tensor(&tensor))});
-  EXPECT_TRUE(result.ok());
+  const auto result = module.execute("forward", {tensor, tensor});
+  EXPECT_EQ(result.error(), Error::Ok);
 
   const auto data = result->at(0).toTensor().const_data_ptr<float>();
 
-  EXPECT_NEAR(data[0], 1.5, 1e-5);
+  EXPECT_NEAR(data[0], 2, 1e-5);
 }
 
 TEST_F(ModuleTest, TestExecutePreloadProgramAndMethod) {
-  Module module(std::getenv("RESOURCES_PATH") + std::string("/model.pte"));
+  Module module(model_path_);
 
   const auto load_error = module.load();
   EXPECT_EQ(load_error, Error::Ok);
@@ -173,17 +176,14 @@ TEST_F(ModuleTest, TestExecutePreloadProgramAndMethod) {
   const auto load_method_error = module.load_method("forward");
   EXPECT_EQ(load_method_error, Error::Ok);
 
-  std::array<float, 2> input{1, 2};
-  std::array<int32_t, 2> sizes{1, 2};
-  TensorImpl tensor(
-      ScalarType::Float, sizes.size(), sizes.data(), input.data());
+  auto tensor = make_tensor_ptr({1.f});
 
-  const auto result = module.execute("forward", {EValue(Tensor(&tensor))});
-  EXPECT_TRUE(result.ok());
+  const auto result = module.execute("forward", {tensor, tensor});
+  EXPECT_EQ(result.error(), Error::Ok);
 
   const auto data = result->at(0).toTensor().const_data_ptr<float>();
 
-  EXPECT_NEAR(data[0], 1.5, 1e-5);
+  EXPECT_NEAR(data[0], 2, 1e-5);
 }
 
 TEST_F(ModuleTest, TestExecuteOnNonExistent) {
@@ -191,7 +191,7 @@ TEST_F(ModuleTest, TestExecuteOnNonExistent) {
 
   const auto result = module.execute("forward");
 
-  EXPECT_FALSE(result.ok());
+  EXPECT_NE(result.error(), Error::Ok);
 }
 
 TEST_F(ModuleTest, TestExecuteOnCurrupted) {
@@ -199,41 +199,239 @@ TEST_F(ModuleTest, TestExecuteOnCurrupted) {
 
   const auto result = module.execute("forward");
 
-  EXPECT_FALSE(result.ok());
+  EXPECT_NE(result.error(), Error::Ok);
+}
+
+TEST_F(ModuleTest, TestGet) {
+  Module module(model_path_);
+
+  auto tensor = make_tensor_ptr({1.f});
+
+  const auto result = module.get("forward", {tensor, tensor});
+  EXPECT_EQ(result.error(), Error::Ok);
+  const auto data = result->toTensor().const_data_ptr<float>();
+  EXPECT_NEAR(data[0], 2, 1e-5);
 }
 
 TEST_F(ModuleTest, TestForward) {
-  auto module = std::make_unique<Module>(
-      std::getenv("RESOURCES_PATH") + std::string("/model.pte"));
+  auto module = std::make_unique<Module>(model_path_);
+  auto tensor = make_tensor_ptr({21.f});
 
-  std::array<float, 2> input{1, 2};
-  std::array<int32_t, 2> sizes{1, 2};
-  TensorImpl tensor(
-      ScalarType::Float, sizes.size(), sizes.data(), input.data());
-  const auto result = module->forward({EValue(Tensor(&tensor))});
-  EXPECT_TRUE(result.ok());
+  const auto result = module->forward({tensor, tensor});
+  EXPECT_EQ(result.error(), Error::Ok);
 
   const auto data = result->at(0).toTensor().const_data_ptr<float>();
 
-  EXPECT_NEAR(data[0], 1.5, 1e-5);
+  EXPECT_NEAR(data[0], 42, 1e-5);
 
-  std::array<float, 2> input2{2, 3};
-  TensorImpl tensor2(
-      ScalarType::Float, sizes.size(), sizes.data(), input2.data());
-  const auto result2 = module->forward({EValue(Tensor(&tensor2))});
-  EXPECT_TRUE(result2.ok());
+  auto tensor2 = make_tensor_ptr({2.f});
+  const auto result2 = module->forward({tensor2, tensor2});
+  EXPECT_EQ(result2.error(), Error::Ok);
 
   const auto data2 = result->at(0).toTensor().const_data_ptr<float>();
 
-  EXPECT_NEAR(data2[0], 2.5, 1e-5);
+  EXPECT_NEAR(data2[0], 4, 1e-5);
 }
 
 TEST_F(ModuleTest, TestForwardWithInvalidInputs) {
-  Module module(std::getenv("RESOURCES_PATH") + std::string("/model.pte"));
+  Module module(model_path_);
+
+  const auto result = module.forward(EValue());
+
+  EXPECT_NE(result.error(), Error::Ok);
+}
+
+TEST_F(ModuleTest, TestProgramSharingBetweenModules) {
+  Module module1(model_path_);
+  EXPECT_FALSE(module1.is_loaded());
+
+  auto load_error = module1.load();
+  EXPECT_EQ(load_error, Error::Ok);
+  EXPECT_TRUE(module1.is_loaded());
+
+  Module module2(module1.program());
+  EXPECT_TRUE(module2.is_loaded());
+
+  auto method_names1 = module1.method_names();
+  EXPECT_EQ(method_names1.error(), Error::Ok);
+
+  auto method_names2 = module2.method_names();
+  EXPECT_EQ(method_names2.error(), Error::Ok);
+  EXPECT_EQ(method_names1.get(), method_names2.get());
+
+  auto load_method_error = module1.load_method("forward");
+  EXPECT_EQ(load_method_error, Error::Ok);
+  EXPECT_TRUE(module1.is_method_loaded("forward"));
+  EXPECT_FALSE(module2.is_method_loaded("forward"));
+
+  auto load_method_error2 = module2.load_method("forward");
+  EXPECT_EQ(load_method_error2, Error::Ok);
+  EXPECT_TRUE(module2.is_method_loaded("forward"));
+}
+
+TEST_F(ModuleTest, TestProgramSharingAndDataLoaderManagement) {
+  auto loader = FileDataLoader::from(model_path_.c_str());
+  EXPECT_EQ(loader.error(), Error::Ok);
+  auto data_loader = std::make_unique<FileDataLoader>(std::move(loader.get()));
+
+  auto module1 = std::make_unique<Module>(std::move(data_loader));
+
+  auto load_error = module1->load();
+  EXPECT_EQ(load_error, Error::Ok);
+  EXPECT_TRUE(module1->is_loaded());
+
+  auto tensor = make_tensor_ptr({1.f});
+
+  const auto result1 = module1->execute("forward", {tensor, tensor});
+  EXPECT_EQ(result1.error(), Error::Ok);
+
+  auto module2 = std::make_unique<Module>(module1->program());
+
+  const auto result2 = module2->execute("forward", {tensor, tensor});
+  EXPECT_EQ(result2.error(), Error::Ok);
+
+  module1 = std::make_unique<Module>("/path/to/nonexistent/file.pte");
+  EXPECT_FALSE(module1->is_loaded());
+
+  const auto result3 = module2->execute("forward", {tensor, tensor});
+  EXPECT_EQ(result3.error(), Error::Ok);
+}
+
+TEST_F(ModuleTest, TestProgramPersistenceAndReuseAfterModuleDestruction) {
+  std::shared_ptr<Program> shared_program;
+
+  {
+    auto loader = FileDataLoader::from(model_path_.c_str());
+    EXPECT_EQ(loader.error(), Error::Ok);
+    auto data_loader =
+        std::make_unique<FileDataLoader>(std::move(loader.get()));
+    auto* data_loader_ptr = data_loader.get();
+
+    Module module(std::move(data_loader));
 
-  const auto result = module.forward({EValue()});
+    auto load_error = module.load();
+    EXPECT_EQ(load_error, Error::Ok);
+    EXPECT_TRUE(module.is_loaded());
 
-  EXPECT_FALSE(result.ok());
+    shared_program = module.program();
+    EXPECT_NE(shared_program, nullptr);
+
+    EXPECT_NE(data_loader_ptr, nullptr);
+  }
+
+  EXPECT_NE(shared_program, nullptr);
+
+  Module module(shared_program);
+
+  EXPECT_EQ(module.program(), shared_program);
+
+  auto tensor = make_tensor_ptr({1.f});
+
+  const auto result = module.execute("forward", {tensor, tensor});
+  EXPECT_EQ(result.error(), Error::Ok);
+
+  auto data = result->at(0).toTensor().const_data_ptr<float>();
+
+  EXPECT_NEAR(data[0], 2, 1e-5);
+}
+
+TEST_F(ModuleTest, TestConcurrentExecutionWithSharedProgram) {
+  std::shared_ptr<Program> program;
+  {
+    Module module(model_path_);
+    EXPECT_FALSE(module.is_loaded());
+
+    auto load_error = module.load();
+    EXPECT_EQ(load_error, Error::Ok);
+    EXPECT_TRUE(module.is_loaded());
+
+    program = module.program();
+  }
+  EXPECT_TRUE(program != nullptr);
+
+  auto thread = [](std::shared_ptr<Program> program,
+                   const std::array<float, 1>& input) {
+    Module module(program);
+    auto tensor = from_blob((void*)input.data(), {1});
+
+    const auto result = module.forward({tensor, tensor});
+    EXPECT_EQ(result.error(), Error::Ok);
+
+    const auto data = result->at(0).toTensor().const_data_ptr<float>();
+    EXPECT_NEAR(data[0], (input[0] * 2), 1e-5);
+  };
+
+  std::thread t1(thread, program, std::array<float, 1>{1});
+  std::thread t2(thread, program, std::array<float, 1>{2});
+  std::thread t3(thread, program, std::array<float, 1>{3});
+  std::thread t4(thread, program, std::array<float, 1>{4});
+  std::thread t5(thread, program, std::array<float, 1>{5});
+
+  t1.join();
+  t2.join();
+  t3.join();
+  t4.join();
+  t5.join();
+}
+
+TEST_F(ModuleTest, TestSetInputsBeforeExecute) {
+  Module module(model_path_);
+
+  auto tensor1 = make_tensor_ptr({4.f});
+  auto tensor2 = make_tensor_ptr({5.f});
+
+  EXPECT_EQ(module.set_inputs({tensor1, tensor2}), Error::Ok);
+
+  const auto result = module.forward();
+  EXPECT_EQ(result.error(), Error::Ok);
+
+  const auto data = result->at(0).toTensor().const_data_ptr<float>();
+  EXPECT_NEAR(data[0], 9, 1e-5);
+}
+
+TEST_F(ModuleTest, TestSetInputCombinedWithExecute) {
+  Module module(model_path_);
+
+  auto tensor1 = make_tensor_ptr({2.f});
+  auto tensor2 = make_tensor_ptr({3.f});
+
+  EXPECT_EQ(module.set_input(tensor2, 1), Error::Ok);
+
+  const auto result = module.forward(tensor1);
+  EXPECT_EQ(result.error(), Error::Ok);
+
+  const auto data = result->at(0).toTensor().const_data_ptr<float>();
+  EXPECT_NEAR(data[0], 5, 1e-5);
+}
+
+TEST_F(ModuleTest, TestPartiallySetInputs) {
+  Module module(model_path_);
+
+  auto tensor = make_tensor_ptr({1.f});
+
+  EXPECT_EQ(module.set_input(tensor, 0), Error::Ok);
+
+  const auto result = module.forward();
+  EXPECT_NE(result.error(), Error::Ok);
 }
 
-} // namespace torch::executor
+TEST_F(ModuleTest, TestUnsetInputs) {
+  Module module(model_path_);
+
+  const auto result = module.forward();
+  EXPECT_NE(result.error(), Error::Ok);
+}
+
+TEST_F(ModuleTest, TestSetOutputInvalidIndex) {
+  Module module(model_path_);
+
+  auto output_tensor = empty({1});
+
+  EXPECT_NE(module.set_output(output_tensor, 1), Error::Ok);
+}
+
+TEST_F(ModuleTest, TestSetOutputInvalidType) {
+  Module module(model_path_);
+
+  EXPECT_NE(module.set_output(EValue()), Error::Ok);
+}
diff --git a/extension/module/test/resources/README.md b/extension/module/test/resources/README.md
new file mode 100644
index 0000000000..e2b54633fa
--- /dev/null
+++ b/extension/module/test/resources/README.md
@@ -0,0 +1,11 @@
+## Resources
+
+### model.pte
+- Internally generated after D62209852, 2024-09-06 with:
+    ```
+    buck2 run fbcode//executorch/examples/portable/scripts:export -- --model_name="add"
+    ```
+- In OSS, the same file can be generated after [#5145](https://github.com/pytorch/executorch/pull/5145), 2024-09-06 with:
+    ```
+    python -m examples.portable.scripts.export --model_name="add"
+    ```
diff --git a/extension/module/test/resources/add.pte b/extension/module/test/resources/add.pte
new file mode 100644
index 0000000000..43252ca7d3
Binary files /dev/null and b/extension/module/test/resources/add.pte differ
diff --git a/extension/module/test/resources/model.pte b/extension/module/test/resources/model.pte
deleted file mode 100644
index 91b5241684..0000000000
Binary files a/extension/module/test/resources/model.pte and /dev/null differ
diff --git a/extension/module/test/targets.bzl b/extension/module/test/targets.bzl
index 2bbf47745e..bc4ce2c6af 100644
--- a/extension/module/test/targets.bzl
+++ b/extension/module/test/targets.bzl
@@ -1,3 +1,8 @@
+load(
+    "@fbsource//tools/build_defs:default_platform_defs.bzl",
+    "ANDROID",
+    "CXX",
+)
 load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
 
 def define_common_targets():
@@ -7,19 +12,28 @@ def define_common_targets():
     TARGETS and BUCK files that call this function.
     """
 
-    runtime.cxx_test(
-        name = "test",
-        srcs = [
-            "module_test.cpp",
-        ],
-        deps = [
-            "//executorch/kernels/portable:generated_lib",
-            "//executorch/extension/module:module",
-        ],
-        env = {
-            "RESOURCES_PATH": "$(location :resources)/resources",
-        },
-    )
+    for aten_mode in (True, False):
+        aten_suffix = ("_aten" if aten_mode else "")
+
+        runtime.cxx_test(
+            name = "test" + aten_suffix,
+            srcs = [
+                "module_test.cpp",
+            ],
+            deps = [
+                "//executorch/kernels/portable:generated_lib" + aten_suffix,
+                "//executorch/extension/data_loader:file_data_loader",
+                "//executorch/extension/module:module" + aten_suffix,
+                "//executorch/extension/tensor:tensor" + aten_suffix,
+            ],
+            env = {
+                "RESOURCES_PATH": "$(location :resources)/resources",
+            },
+            platforms = [CXX, ANDROID],  # Cannot bundle resources on Apple platform.
+            compiler_flags = [
+                "-Wno-error=deprecated-declarations",
+            ],
+        )
 
     runtime.filegroup(
         name = "resources",
diff --git a/extension/parallel/targets.bzl b/extension/parallel/targets.bzl
index 7cb8a2d28a..b1da51b617 100644
--- a/extension/parallel/targets.bzl
+++ b/extension/parallel/targets.bzl
@@ -23,7 +23,7 @@ def define_common_targets():
                 "@EXECUTORCH_CLIENTS",
             ],
             deps = [
-                "//executorch/backends/xnnpack/threadpool:threadpool",
+                "//executorch/extension/threadpool:threadpool",
                 "//executorch/runtime/core:core",
                 "//executorch/runtime/core/exec_aten/util:tensor_util" + aten_suffix,
             ],
diff --git a/extension/parallel/test/CMakeLists.txt b/extension/parallel/test/CMakeLists.txt
index 7c6f6a27d7..ab37f66c17 100644
--- a/extension/parallel/test/CMakeLists.txt
+++ b/extension/parallel/test/CMakeLists.txt
@@ -21,14 +21,16 @@ set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../../..)
 
 include(${EXECUTORCH_ROOT}/build/Test.cmake)
 
-set(_test_srcs
-    thread_parallel_test.cpp ../thread_parallel.cpp
-    ${EXECUTORCH_ROOT}/backends/xnnpack/threadpool/threadpool.cpp
-    ${EXECUTORCH_ROOT}/backends/xnnpack/threadpool/threadpool_guard.cpp
-)
+set(_test_srcs thread_parallel_test.cpp ../thread_parallel.cpp)
 
 et_cxx_test(
-  extension_parallel_test SOURCES ${_test_srcs} EXTRA_LIBS pthreadpool cpuinfo
+  extension_parallel_test
+  SOURCES
+  ${_test_srcs}
+  EXTRA_LIBS
+  pthreadpool
+  cpuinfo
+  extension_threadpool
 )
 target_include_directories(
   extension_parallel_test
diff --git a/extension/parallel/test/thread_parallel_test.cpp b/extension/parallel/test/thread_parallel_test.cpp
index 1eea87beb0..d386429100 100644
--- a/extension/parallel/test/thread_parallel_test.cpp
+++ b/extension/parallel/test/thread_parallel_test.cpp
@@ -15,8 +15,7 @@
 #include <executorch/runtime/platform/platform.h>
 
 using namespace ::testing;
-
-namespace torch::executor {
+using ::executorch::extension::parallel_for;
 
 class ParallelTest : public ::testing::Test {
  protected:
@@ -192,5 +191,3 @@ TEST_F(ParallelTest, TestChunkSizeTooLarge) {
     EXPECT_EQ(data_[i], i);
   }
 }
-
-} // namespace torch::executor
diff --git a/extension/parallel/thread_parallel.cpp b/extension/parallel/thread_parallel.cpp
index cdd1d21a83..fb2d3e7b0a 100644
--- a/extension/parallel/thread_parallel.cpp
+++ b/extension/parallel/thread_parallel.cpp
@@ -8,12 +8,13 @@
 
 #include <tuple>
 
-#include <executorch/backends/xnnpack/threadpool/threadpool.h>
 #include <executorch/extension/parallel/thread_parallel.h>
+#include <executorch/extension/threadpool/threadpool.h>
 #include <executorch/runtime/core/exec_aten/util/tensor_util.h>
 #include <executorch/runtime/platform/assert.h>
 
-namespace torch::executor {
+namespace executorch {
+namespace extension {
 
 namespace {
 thread_local int64_t thread_num_ = 0;
@@ -74,4 +75,5 @@ bool parallel_for(
   return true;
 }
 
-} // namespace torch::executor
+} // namespace extension
+} // namespace executorch
diff --git a/extension/parallel/thread_parallel.h b/extension/parallel/thread_parallel.h
index 7b58236e8a..bbce211597 100644
--- a/extension/parallel/thread_parallel.h
+++ b/extension/parallel/thread_parallel.h
@@ -12,7 +12,8 @@
 // @nolint PATTERNLINT Ok to use stdlib for this optional library
 #include <functional>
 
-namespace torch::executor {
+namespace executorch {
+namespace extension {
 
 /**
  * A helper to run function in parallel.
@@ -39,4 +40,15 @@ int64_t get_thread_num();
 
 void set_thread_num(int64_t thread_num);
 
-} // namespace torch::executor
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::get_thread_num;
+using ::executorch::extension::parallel_for;
+using ::executorch::extension::set_thread_num;
+} // namespace executor
+} // namespace torch
diff --git a/extension/pybindings/TARGETS b/extension/pybindings/TARGETS
index 3111ef6fa7..ecf23e4658 100644
--- a/extension/pybindings/TARGETS
+++ b/extension/pybindings/TARGETS
@@ -30,9 +30,10 @@ runtime.genrule(
     srcs = [":pybinding_types"],
     outs = {
         "aten_lib.pyi": ["aten_lib.pyi"],
+        "core.pyi": ["core.pyi"],
         "_portable_lib.pyi": ["_portable_lib.pyi"],
     },
-    cmd = "cp $(location :pybinding_types)/* $OUT/_portable_lib.pyi && cp $(location :pybinding_types)/* $OUT/aten_lib.pyi",
+    cmd = "cp $(location :pybinding_types)/* $OUT/_portable_lib.pyi && cp $(location :pybinding_types)/* $OUT/aten_lib.pyi && cp $(location :pybinding_types)/* $OUT/core.pyi",
     visibility = ["//executorch/extension/pybindings/..."],
 )
 
@@ -40,6 +41,7 @@ executorch_pybindings(
     compiler_flags = ["-std=c++17"],
     cppdeps = PORTABLE_MODULE_DEPS,
     python_module_name = "core",
+    types = ["//executorch/extension/pybindings:pybindings_types_gen[core.pyi]"],
     visibility = ["PUBLIC"],
 )
 
diff --git a/extension/pybindings/portable_lib.py b/extension/pybindings/portable_lib.py
index b9ed089f91..d094710e67 100644
--- a/extension/pybindings/portable_lib.py
+++ b/extension/pybindings/portable_lib.py
@@ -6,6 +6,22 @@
 
 # pyre-strict
 
+"""API for loading and executing ExecuTorch PTE files using the C++ runtime.
+
+.. warning::
+
+    This API is experimental and subject to change without notice.
+"""
+
+import warnings as _warnings
+
+import executorch.exir._warnings as _exir_warnings
+
+_warnings.warn(
+    "This API is experimental and subject to change without notice.",
+    _exir_warnings.ExperimentalWarning,
+)
+
 # When installed as a pip wheel, we must import `torch` before trying to import
 # the pybindings shared library extension. This will load libtorch.so and
 # related libs, ensuring that the pybindings lib can resolve those runtime
@@ -15,6 +31,8 @@
 # Let users import everything from the C++ _portable_lib extension as if this
 # python file defined them. Although we could import these dynamically, it
 # wouldn't preserve the static type annotations.
+#
+# Note that all of these are experimental, and subject to change without notice.
 from executorch.extension.pybindings._portable_lib import (  # noqa: F401
     # Disable "imported but unused" (F401) checks.
     _create_profile_block,  # noqa: F401
@@ -32,3 +50,5 @@
 # Clean up so that `dir(portable_lib)` is the same as `dir(_portable_lib)`
 # (apart from some __dunder__ names).
 del _torch
+del _exir_warnings
+del _warnings
diff --git a/extension/pybindings/pybindings.cpp b/extension/pybindings/pybindings.cpp
index 1f6d1075a1..d674f2fe58 100644
--- a/extension/pybindings/pybindings.cpp
+++ b/extension/pybindings/pybindings.cpp
@@ -17,6 +17,9 @@
 #include <pybind11/pybind11.h>
 #include <pybind11/stl.h>
 
+#include <executorch/devtools/bundled_program/bundled_program.h>
+#include <executorch/devtools/bundled_program/schema/bundled_program_schema_generated.h>
+#include <executorch/devtools/etdump/etdump_flatcc.h>
 #include <executorch/extension/data_loader/buffer_data_loader.h>
 #include <executorch/extension/data_loader/mmap_data_loader.h>
 #include <executorch/extension/memory_allocator/malloc_memory_allocator.h>
@@ -28,10 +31,6 @@
 #include <executorch/runtime/platform/platform.h>
 #include <executorch/runtime/platform/profiler.h>
 #include <executorch/runtime/platform/runtime.h>
-#include <executorch/sdk/bundled_program/bundled_program.h>
-#include <executorch/sdk/bundled_program/schema/bundled_program_schema_generated.h>
-#include <executorch/sdk/etdump/etdump_flatcc.h>
-#include <executorch/util/read_file.h>
 
 #include <ATen/Functions.h>
 #include <ATen/Tensor.h>
@@ -64,16 +63,46 @@ void et_pal_emit_log_message(
     et_timestamp_t timestamp,
     et_pal_log_level_t level,
     const char* filename,
-    __ET_UNUSED const char* function,
+    ET_UNUSED const char* function,
     size_t line,
     const char* message,
-    __ET_UNUSED size_t length) {
+    ET_UNUSED size_t length) {
   std::cerr << "[" << filename << ":" << line << "] " << message << std::endl;
 }
 
 namespace py = pybind11;
-namespace torch {
-namespace executor {
+using executorch::bundled_program::verify_method_outputs;
+using ::executorch::extension::BufferDataLoader;
+using ::executorch::extension::MallocMemoryAllocator;
+using ::executorch::extension::MmapDataLoader;
+using ::executorch::runtime::ArrayRef;
+using ::executorch::runtime::DataLoader;
+using ::executorch::runtime::Error;
+using ::executorch::runtime::EValue;
+using ::executorch::runtime::EventTracerDebugLogLevel;
+using ::executorch::runtime::get_registered_kernels;
+using ::executorch::runtime::HierarchicalAllocator;
+using ::executorch::runtime::Kernel;
+using ::executorch::runtime::MemoryAllocator;
+using ::executorch::runtime::MemoryManager;
+using ::executorch::runtime::Method;
+using ::executorch::runtime::prof_result_t;
+using ::executorch::runtime::Program;
+using ::executorch::runtime::Result;
+using ::executorch::runtime::Span;
+using ::executorch::runtime::Tag;
+using torch::executor::etdump_result;
+using torch::executor::ETDumpGen;
+
+#ifndef USE_ATEN_LIB
+using ::executorch::extension::alias_attensor_to_etensor;
+using ::executorch::extension::alias_etensor_to_attensor;
+using ::executorch::extension::torch_to_executorch_scalar_type;
+#endif // !USE_ATEN_LIB
+
+namespace executorch {
+namespace extension {
+namespace pybindings {
 
 namespace {
 
@@ -95,9 +124,33 @@ void write_data_to_file(const std::string& path, void* buf, size_t size) {
   }
 }
 
-using util::BufferDataLoader;
-using util::MallocMemoryAllocator;
-using util::MmapDataLoader;
+void setup_output_storage(
+    Method& method,
+    const std::vector<Span<uint8_t>>& output_storages) {
+  if (output_storages.size() != method.outputs_size()) {
+    THROW_IF_ERROR(
+        Error(),
+        "number of output storages %zu does not match number of outputs %zu",
+        output_storages.size(),
+        method.outputs_size());
+  }
+  for (size_t i = 0; i < output_storages.size(); ++i) {
+    if (output_storages[i].size() == 0) {
+      // Skip empty output storages, this would happen for non-tensor outputs.
+      continue;
+    }
+    Error output_status = method.set_output_data_ptr(
+        output_storages[i].data(), output_storages[i].size(), i);
+    // InvalidState can be the status if outputs are already memory planned.
+    // That's fine and we don't need to alert the user to that error.
+    if (output_status != Error::Ok && output_status != Error::InvalidState) {
+      ET_LOG(
+          Error,
+          "Cannot set_output_data_ptr(): 0x%" PRIx32,
+          static_cast<uint32_t>(output_status));
+    }
+  }
+}
 
 class Module final {
  public:
@@ -108,7 +161,7 @@ class Module final {
       : loader_(std::move(loader)),
         event_tracer_(std::move(tracer)),
         debug_buffer_size_(debug_buffer_size) {
-    runtime_init();
+    ::executorch::runtime::runtime_init();
     Result<Program> program = Program::load(
         loader_.get(), Program::Verification::InternalConsistency);
     THROW_IF_ERROR(
@@ -209,26 +262,7 @@ class Module final {
         c10::autograd_dispatch_keyset);
 #endif
     if (output_storages) {
-      if (output_storages->size() != method->outputs_size()) {
-        THROW_IF_ERROR(
-            Error(),
-            "number of output storages %zu does not match number of outputs %zu",
-            output_storages->size(),
-            method->outputs_size());
-      }
-      for (size_t i = 0; i < output_storages->size(); ++i) {
-        Error output_status = method->set_output_data_ptr(
-            (*output_storages)[i].data(), (*output_storages)[i].size(), i);
-        // InvalidState can be the status if outputs are already memory planned.
-        // That's fine and we don't need to alert the user to that error.
-        if (output_status != Error::Ok &&
-            output_status != Error::InvalidState) {
-          ET_LOG(
-              Error,
-              "Cannot set_output_data_ptr(): 0x%" PRIx32,
-              static_cast<uint32_t>(output_status));
-        }
-      }
+      setup_output_storage(*method, *output_storages);
     }
     Error execute_status = method->execute();
     THROW_IF_ERROR(
@@ -236,6 +270,11 @@ class Module final {
         "method->execute() failed with error 0x%" PRIx32,
         static_cast<uint32_t>(execute_status));
     // process outputs
+    return get_outputs(method_name);
+  }
+
+  std::vector<EValue> get_outputs(const std::string& method_name) {
+    auto& method = methods_[method_name];
     std::vector<EValue> result(method->outputs_size());
 
     Error get_outputs_status =
@@ -332,12 +371,12 @@ class Module final {
   size_t debug_buffer_size_;
 };
 
-inline std::unique_ptr<Module> load_from_buffer(
+inline std::unique_ptr<Module> load_module_from_buffer(
     const void* ptr,
     size_t ptr_len,
     bool enable_etdump,
     size_t debug_buffer_size) {
-  EXECUTORCH_SCOPE_PROF("load_from_buffer");
+  EXECUTORCH_SCOPE_PROF("load_module_from_buffer");
   auto loader = std::make_unique<BufferDataLoader>(ptr, ptr_len);
   return std::make_unique<Module>(
       std::move(loader),
@@ -345,11 +384,11 @@ inline std::unique_ptr<Module> load_from_buffer(
       debug_buffer_size);
 }
 
-inline std::unique_ptr<Module> load_from_file(
+inline std::unique_ptr<Module> load_module_from_file(
     const std::string& path,
     bool enable_etdump,
     size_t debug_buffer_size) {
-  EXECUTORCH_SCOPE_PROF("load_from_file");
+  EXECUTORCH_SCOPE_PROF("load_module_from_file");
 
   Result<MmapDataLoader> res = MmapDataLoader::from(
       path.c_str(), MmapDataLoader::MlockConfig::UseMlockIgnoreErrors);
@@ -414,7 +453,7 @@ struct PyModule final {
       const py::bytes& buffer,
       bool enable_etdump,
       size_t debug_buffer_size = 0)
-      : module_(torch::executor::load_from_buffer(
+      : module_(load_module_from_buffer(
             buffer.cast<std::string_view>().data(),
             py::len(buffer),
             enable_etdump,
@@ -425,7 +464,7 @@ struct PyModule final {
       size_t ptr_len,
       bool enable_etdump,
       size_t debug_buffer_size = 0)
-      : module_(torch::executor::load_from_buffer(
+      : module_(load_module_from_buffer(
             ptr,
             ptr_len,
             enable_etdump,
@@ -435,10 +474,8 @@ struct PyModule final {
       const std::string& path,
       bool enable_etdump,
       size_t debug_buffer_size = 0)
-      : module_(torch::executor::load_from_file(
-            path,
-            enable_etdump,
-            debug_buffer_size)) {}
+      : module_(load_module_from_file(path, enable_etdump, debug_buffer_size)) {
+  }
 
   PyModule(const PyModule&) = delete;
   PyModule& operator=(const PyModule&) = delete;
@@ -472,7 +509,8 @@ struct PyModule final {
 
   py::list run_method(
       const std::string& method_name,
-      const py::sequence& inputs) {
+      const py::sequence& inputs,
+      bool clone_outputs = true) {
     const auto inputs_size = py::len(inputs);
     std::vector<EValue> cpp_inputs;
     cpp_inputs.reserve(inputs_size);
@@ -511,8 +549,8 @@ struct PyModule final {
         EValue evalue(at_tensor);
 #else
         // convert at::Tensor to torch::executor::Tensor
-        auto type = torch::util::torchToExecuTorchScalarType(
-            at_tensor.options().dtype());
+        auto type =
+            torch_to_executorch_scalar_type(at_tensor.options().dtype());
         size_t dim = at_tensor.dim();
         // cant directly alias at::Tensor sizes and strides due to int64 vs
         // int32 typing conflict
@@ -537,7 +575,7 @@ struct PyModule final {
 
         torch::executor::Tensor temp =
             torch::executor::Tensor(&input_tensors.back());
-        torch::util::alias_etensor_to_attensor(at_tensor, temp);
+        alias_etensor_to_attensor(at_tensor, temp);
         EValue evalue(temp);
 #endif
 
@@ -556,72 +594,29 @@ struct PyModule final {
 
     const auto& method = module_->get_method(method_name);
     const auto num_outputs = method.outputs_size();
-    // These output storages will not be used if the ExecuTorch program already
-    // pre-allocated output space. That is represented by an error from
-    // set_output_data_ptr.
-    std::vector<std::unique_ptr<uint8_t[]>> output_storages(num_outputs);
+    output_storages_ = make_output_storages(method);
     std::vector<Span<uint8_t>> output_storage_spans(num_outputs);
-    for (size_t i = 0; i < num_outputs; ++i) {
-      const auto& output_tensor_meta =
-          method.method_meta().output_tensor_meta(i);
-      if (!output_tensor_meta.ok()) {
-        // If the output isn't a tensor it won't have a tensor meta.
-        ET_LOG(
-            Info,
-            "Tensor meta doesn't exist for output %zu, error is 0x%" PRIx32
-            ", skipping allocating storage",
-            i,
-            static_cast<uint32_t>(output_tensor_meta.error()));
-        output_storage_spans[i] = Span<uint8_t>();
-        continue;
-      }
-      const size_t output_size = output_tensor_meta.get().nbytes();
-      std::unique_ptr<uint8_t[]> output(new uint8_t[output_size]);
-      output_storage_spans[i] = Span<uint8_t>(output.get(), output_size);
-      output_storages[i] = std::move(output);
+    for (int i = 0; i < output_storages_.size(); ++i) {
+      output_storage_spans[i] =
+          Span<uint8_t>(output_storages_[i].data(), output_storages_[i].size());
     }
     auto outputs =
         module_->run_method(method_name, cpp_inputs, output_storage_spans);
 
     // Retrieve outputs
-    const auto outputs_size = outputs.size();
-    py::list list(outputs_size);
-    for (size_t i = 0; i < outputs_size; ++i) {
-      auto& v = outputs[i];
-      if (Tag::None == v.tag) {
-        list[i] = py::none();
-      } else if (Tag::Int == v.tag) {
-        list[i] = py::cast(v.toInt());
-      } else if (Tag::Double == v.tag) {
-        list[i] = py::cast(v.toDouble());
-      } else if (Tag::Bool == v.tag) {
-        list[i] = py::cast(v.toBool());
-      } else if (Tag::String == v.tag) {
-        list[i] = py::cast(std::string(v.toString().data()));
-      } else if (Tag::Tensor == v.tag) {
-#ifdef USE_ATEN_LIB
-        // Clone so the outputs in python do not share a lifetime with the
-        // module object
-        list[i] = py::cast(v.toTensor().clone());
-#else
-        list[i] = py::cast(
-            torch::util::alias_attensor_to_etensor(v.toTensor()).clone());
-#endif
-      } else {
-        ET_ASSERT_UNREACHABLE_MSG("Invalid model output type");
-      }
-    }
-    return list;
+    return get_outputs_as_py_list(outputs, clone_outputs);
   }
 
-  py::list forward(const py::sequence& inputs) {
-    return run_method("forward", inputs);
+  py::list forward(const py::sequence& inputs, bool clone_outputs = true) {
+    return run_method("forward", inputs, clone_outputs);
   }
 
-  py::list forward_single_input(const torch::Tensor& inputTensor) {
+  py::list forward_single_input(
+      const torch::Tensor& inputTensor,
+      bool clone_outputs = true) {
     py::list py_list;
     py_list.append(py::cast(inputTensor));
-    return run_method("forward", py_list);
+    return run_method("forward", py_list, clone_outputs);
   }
 
   bool has_etdump() {
@@ -659,46 +654,134 @@ struct PyModule final {
 
   void load_bundled_input(
       PyBundledModule& m,
-      const string method_name,
+      const std::string method_name,
       size_t testset_idx) {
     const void* bundled_program_ptr = m.get_bundled_program_ptr();
-    Error status = bundled_program::LoadBundledInput(
+    Error status = executorch::bundled_program::load_bundled_input(
         module_->get_method(method_name), bundled_program_ptr, testset_idx);
     THROW_IF_ERROR(
         status,
-        "LoadBundledInput failed with status %" PRIu32,
+        "load_bundled_input failed with status 0x%" PRIx32,
         static_cast<uint32_t>(status));
   }
 
-  void verify_result_with_bundled_expected_output(
+  py::list verify_result_with_bundled_expected_output(
       PyBundledModule& m,
-      const string method_name,
+      const std::string method_name,
       size_t testset_idx,
       double rtol = 1e-5,
       double atol = 1e-8) {
     const void* bundled_program_ptr = m.get_bundled_program_ptr();
-    Error status = bundled_program::VerifyResultWithBundledExpectedOutput(
-        module_->get_method(method_name),
-        bundled_program_ptr,
-        testset_idx,
-        rtol,
-        atol);
+    auto& method = module_->get_method(method_name);
+    Error status = executorch::bundled_program::load_bundled_input(
+        method, bundled_program_ptr, testset_idx);
+    THROW_IF_ERROR(
+        status,
+        "load_bundled_input failed with status 0x%" PRIx32,
+        static_cast<uint32_t>(status));
+    py::list outputs = plan_execute(method_name);
+    status = executorch::bundled_program::verify_method_outputs(
+        method, bundled_program_ptr, testset_idx, rtol, atol);
     THROW_IF_ERROR(
         status,
         "Result verification failed with status %" PRIu32,
         static_cast<uint32_t>(status));
+    return outputs;
   }
 
-  void plan_execute(const string method_name) {
-    auto status = module_->get_method(method_name).execute();
+  py::list plan_execute(
+      const std::string method_name,
+      bool clone_outputs = true) {
+    auto& method = module_->get_method(method_name);
+    // Need to pre-allocate space for outputs just like in run_method.
+    const auto num_outputs = method.outputs_size();
+    output_storages_ = make_output_storages(method);
+    std::vector<Span<uint8_t>> output_storage_spans(num_outputs);
+    for (int i = 0; i < output_storages_.size(); ++i) {
+      output_storage_spans[i] =
+          Span<uint8_t>(output_storages_[i].data(), output_storages_[i].size());
+    }
+    setup_output_storage(method, output_storage_spans);
+    auto status = method.execute();
     THROW_IF_ERROR(
         status,
         "executing execution plan for method 'forward' failed with error: 0x%" PRIx32,
         static_cast<uint32_t>(status));
+    const auto outputs = module_->get_outputs(method_name);
+    return get_outputs_as_py_list(outputs, clone_outputs);
+  }
+
+  py::list get_outputs_as_py_list(
+      const std::vector<EValue>& outputs,
+      bool clone_outputs = true) {
+    const auto outputs_size = outputs.size();
+    py::list list(outputs_size);
+    for (size_t i = 0; i < outputs_size; ++i) {
+      auto& v = outputs[i];
+      if (Tag::None == v.tag) {
+        list[i] = py::none();
+      } else if (Tag::Int == v.tag) {
+        list[i] = py::cast(v.toInt());
+      } else if (Tag::Double == v.tag) {
+        list[i] = py::cast(v.toDouble());
+      } else if (Tag::Bool == v.tag) {
+        list[i] = py::cast(v.toBool());
+      } else if (Tag::String == v.tag) {
+        list[i] = py::cast(std::string(v.toString().data()));
+      } else if (Tag::Tensor == v.tag) {
+#ifdef USE_ATEN_LIB
+        // Clone so the outputs in python do not share a lifetime with the
+        // module object
+        if (clone_outputs) {
+          list[i] = py::cast(v.toTensor().clone());
+        } else {
+          list[i] = py::cast(v.toTensor());
+        }
+#else
+        if (clone_outputs) {
+          list[i] = py::cast(alias_attensor_to_etensor(v.toTensor()).clone());
+        } else {
+          list[i] = py::cast(alias_attensor_to_etensor(v.toTensor()));
+        }
+#endif
+      } else {
+        ET_ASSERT_UNREACHABLE_MSG("Invalid model output type");
+      }
+    }
+    return list;
   }
 
  private:
   std::unique_ptr<Module> module_;
+  // Need to keep-alive output storages until they can be compared in case of
+  // bundled programs.
+  std::vector<std::vector<uint8_t>> output_storages_;
+
+  std::vector<std::vector<uint8_t>> make_output_storages(const Method& method) {
+    const auto num_outputs = method.outputs_size();
+    // These output storages will not be used if the ExecuTorch program already
+    // pre-allocated output space. That is represented by an error from
+    // set_output_data_ptr.
+    std::vector<std::vector<uint8_t>> output_storages(num_outputs);
+    for (size_t i = 0; i < num_outputs; ++i) {
+      const auto& output_tensor_meta =
+          method.method_meta().output_tensor_meta(i);
+      if (!output_tensor_meta.ok()) {
+        // If the output isn't a tensor it won't have a tensor meta.
+        ET_LOG(
+            Error,
+            "Tensor meta doesn't exist for output %zu, error is 0x%" PRIx32
+            ", skipping allocating storage",
+            i,
+            static_cast<uint32_t>(output_tensor_meta.error()));
+        output_storages[i] = std::vector<uint8_t>();
+        continue;
+      }
+      const size_t output_size = output_tensor_meta.get().nbytes();
+      output_storages[i] = std::vector<uint8_t>(output_size);
+    }
+    return output_storages;
+  }
 };
 
 void create_profile_block(const std::string& name) {
@@ -706,7 +789,7 @@ void create_profile_block(const std::string& name) {
 }
 
 py::list get_operator_names() {
-  ArrayRef<Kernel> kernels = get_kernels();
+  Span<const Kernel> kernels = get_registered_kernels();
   py::list res;
   for (const Kernel& k : kernels) {
     if (k.name_ != nullptr) {
@@ -777,14 +860,25 @@ PYBIND11_MODULE(EXECUTORCH_PYTHON_MODULE_NAME, m) {
           py::arg("rtol") = 1e-5,
           py::arg("atol") = 1e-8,
           call_guard)
-      .def("plan_execute", &PyModule::plan_execute, call_guard)
+      .def(
+          "plan_execute",
+          &PyModule::plan_execute,
+          py::arg("method_name"),
+          py::arg("clone_outputs") = true,
+          call_guard)
       .def(
           "run_method",
           &PyModule::run_method,
           py::arg("method_name"),
           py::arg("inputs") = py::list(),
+          py::arg("clone_outputs") = true,
+          call_guard)
+      .def(
+          "forward",
+          &PyModule::forward,
+          py::arg("inputs") = py::list(),
+          py::arg("clone_outputs") = true,
           call_guard)
-      .def("forward", &PyModule::forward, call_guard)
       .def("has_etdump", &PyModule::has_etdump, call_guard)
       .def(
           "write_etdump_result_to_file",
@@ -792,11 +886,22 @@ PYBIND11_MODULE(EXECUTORCH_PYTHON_MODULE_NAME, m) {
           py::arg("path"),
           py::arg("debug_buffer_path") = py::none(),
           call_guard)
-      .def("__call__", &PyModule::forward, call_guard)
-      .def("__call__", &PyModule::forward_single_input, call_guard);
+      .def(
+          "__call__",
+          &PyModule::forward,
+          py::arg("inputs") = py::list(),
+          py::arg("clone_outputs") = true,
+          call_guard)
+      .def(
+          "__call__",
+          &PyModule::forward_single_input,
+          py::arg("inputs") = py::list(),
+          py::arg("clone_outputs") = true,
+          call_guard);
 
   py::class_<PyBundledModule>(m, "BundledModule");
 }
 
-} // namespace executor
-} // namespace torch
+} // namespace pybindings
+} // namespace extension
+} // namespace executorch
diff --git a/extension/pybindings/pybindings.pyi b/extension/pybindings/pybindings.pyi
index a085911672..71f5598ad9 100644
--- a/extension/pybindings/pybindings.pyi
+++ b/extension/pybindings/pybindings.pyi
@@ -7,17 +7,30 @@
 # pyre-strict
 from typing import Any, Dict, List, Optional, Sequence, Tuple
 
+from executorch.exir._warnings import experimental
+
+@experimental("This API is experimental and subject to change without notice.")
 class ExecuTorchModule:
+    """ExecuTorchModule is a Python wrapper around a C++ ExecuTorch program.
+
+    .. warning::
+
+        This API is experimental and subject to change without notice.
+    """
+
     # pyre-ignore[2, 3]: "Any" in parameter and return type annotations.
     def __call__(self, inputs: Any) -> List[Any]: ...
     # pyre-ignore[2, 3]: "Any" in parameter and return type annotations.
     def run_method(self, method_name: str, inputs: Sequence[Any]) -> List[Any]: ...
     # pyre-ignore[2, 3]: "Any" in parameter and return type annotations.
     def forward(self, inputs: Sequence[Any]) -> List[Any]: ...
+    # pyre-ignore[3]: "Any" in return type annotations.
+    def plan_execute(self) -> List[Any]: ...
     # Bundled program methods.
     def load_bundled_input(
         self, bundle: BundledModule, method_name: str, testset_idx: int
     ) -> None: ...
+    # pyre-ignore[3]: "Any" in return type annotations.
     def verify_result_with_bundled_expected_output(
         self,
         bundle: BundledModule,
@@ -25,18 +38,32 @@ class ExecuTorchModule:
         testset_idx: int,
         rtol: float = 1e-5,
         atol: float = 1e-8,
-    ) -> None: ...
+    ) -> List[Any]: ...
     def has_etdump(self) -> bool: ...
     def write_etdump_result_to_file(
         self, path: str, debug_buffer_path: Optional[str] = None
     ) -> None: ...
 
-class BundledModule: ...
+@experimental("This API is experimental and subject to change without notice.")
+class BundledModule:
+    """
+    .. warning::
+
+        This API is experimental and subject to change without notice.
+    """
 
+    ...
+
+@experimental("This API is experimental and subject to change without notice.")
 def _load_for_executorch(
     path: str, enable_etdump: bool = False, debug_buffer_size: int = 0
 ) -> ExecuTorchModule:
     """Load an ExecuTorch Program from a file.
+
+    .. warning::
+
+        This API is experimental and subject to change without notice.
+
     Args:
         path: File path to the ExecuTorch program as a string.
         enable_etdump: If true, enables an ETDump which can store profiling information.
@@ -50,23 +77,75 @@ def _load_for_executorch(
     """
     ...
 
+@experimental("This API is experimental and subject to change without notice.")
 def _load_for_executorch_from_buffer(
     buffer: bytes, enable_etdump: bool = False, debug_buffer_size: int = 0
 ) -> ExecuTorchModule:
-    """Same as _load_for_executorch, but takes a byte buffer instead of a file path."""
+    """Same as _load_for_executorch, but takes a byte buffer instead of a file path.
+
+    .. warning::
+
+        This API is experimental and subject to change without notice.
+    """
     ...
 
+@experimental("This API is experimental and subject to change without notice.")
 def _load_for_executorch_from_bundled_program(
     module: BundledModule, enable_etdump: bool = False, debug_buffer_size: int = 0
 ) -> ExecuTorchModule:
     """Same as _load_for_executorch, but takes a bundled program instead of a file path.
-    See https://pytorch.org/executorch/stable/sdk-bundled-io.html for documentation."""
+
+    See https://pytorch.org/executorch/stable/sdk-bundled-io.html for documentation.
+
+    .. warning::
+
+        This API is experimental and subject to change without notice.
+    """
     ...
 
+@experimental("This API is experimental and subject to change without notice.")
 def _load_bundled_program_from_buffer(
     buffer: bytes, non_const_pool_size: int = ...
-) -> BundledModule: ...
-def _get_operator_names() -> List[str]: ...
-def _create_profile_block(name: str) -> None: ...
-def _dump_profile_results() -> bytes: ...
-def _reset_profile_results() -> None: ...
+) -> BundledModule:
+    """
+    .. warning::
+
+        This API is experimental and subject to change without notice.
+    """
+    ...
+
+@experimental("This API is experimental and subject to change without notice.")
+def _get_operator_names() -> List[str]:
+    """
+    .. warning::
+
+        This API is experimental and subject to change without notice.
+    """
+    ...
+
+@experimental("This API is experimental and subject to change without notice.")
+def _create_profile_block(name: str) -> None:
+    """
+    .. warning::
+
+        This API is experimental and subject to change without notice.
+    """
+    ...
+
+@experimental("This API is experimental and subject to change without notice.")
+def _dump_profile_results() -> bytes:
+    """
+    .. warning::
+
+        This API is experimental and subject to change without notice.
+    """
+    ...
+
+@experimental("This API is experimental and subject to change without notice.")
+def _reset_profile_results() -> None:
+    """
+    .. warning::
+
+        This API is experimental and subject to change without notice.
+    """
+    ...
diff --git a/extension/pybindings/test/TARGETS b/extension/pybindings/test/TARGETS
index c569b97dcb..feb4779a05 100644
--- a/extension/pybindings/test/TARGETS
+++ b/extension/pybindings/test/TARGETS
@@ -28,6 +28,7 @@ runtime.python_library(
 runtime.python_test(
     name = "test_pybindings_portable_lib",
     srcs = ["test_pybindings.py"],
+    preload_deps = ["//executorch/kernels/quantized:aot_lib"],
     deps = [
         ":make_test",
         "//executorch/extension/pybindings:portable_lib",
@@ -37,8 +38,10 @@ runtime.python_test(
 runtime.python_test(
     name = "test_pybindings_aten_lib",
     srcs = ["test_pybindings.py"],
+    preload_deps = ["//executorch/kernels/quantized:aot_lib"],
     deps = [
         ":make_test",
         "//executorch/extension/pybindings:aten_lib",
+        "//executorch/kernels/quantized:aot_lib",
     ],
 )
diff --git a/extension/pybindings/test/make_test.py b/extension/pybindings/test/make_test.py
index a977b373a4..708e67e430 100644
--- a/extension/pybindings/test/make_test.py
+++ b/extension/pybindings/test/make_test.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import unittest
 from typing import Any, Callable, Tuple
 
@@ -211,11 +213,50 @@ def __str__(self):
                 except Exception:
                     tester.assertTrue(str(out).find("The length of given input array"))
 
+        def test_quantized_ops(tester):
+            eager_module = ModuleAdd()
+
+            from executorch.exir import EdgeCompileConfig
+            from executorch.exir.passes.quant_fusion_pass import QuantFusionPass
+            from torch.ao.quantization import get_default_qconfig_mapping
+            from torch.ao.quantization.backend_config.executorch import (
+                get_executorch_backend_config,
+            )
+            from torch.ao.quantization.quantize_fx import (
+                _convert_to_reference_decomposed_fx,
+                prepare_fx,
+            )
+
+            qconfig_mapping = get_default_qconfig_mapping("qnnpack")
+            example_inputs = (
+                torch.ones(1, 5, dtype=torch.float32),
+                torch.ones(1, 5, dtype=torch.float32),
+            )
+            m = prepare_fx(
+                eager_module,
+                qconfig_mapping,
+                example_inputs,
+                backend_config=get_executorch_backend_config(),
+            )
+            m = _convert_to_reference_decomposed_fx(m)
+            config = EdgeCompileConfig(_check_ir_validity=False)
+            m = to_edge(export(m, example_inputs), compile_config=config)
+            m = m.transform([QuantFusionPass(_fix_node_meta_val=True)])
+
+            exec_prog = m.to_executorch()
+
+            executorch_module = load_fn(exec_prog.buffer)
+            executorch_output = executorch_module.forward(example_inputs)[0]
+
+            expected = example_inputs[0] + example_inputs[1]
+            tester.assertEqual(str(expected), str(executorch_output))
+
         test_e2e(tester)
         test_multiple_entry(tester)
         test_output_lifespan(tester)
         test_module_callable(tester)
         test_module_single_input(tester)
         test_stderr_redirect(tester)
+        test_quantized_ops(tester)
 
     return wrapper
diff --git a/extension/pybindings/test/test_pybindings.py b/extension/pybindings/test/test_pybindings.py
index dbc2b057bf..d4ce2af039 100644
--- a/extension/pybindings/test/test_pybindings.py
+++ b/extension/pybindings/test/test_pybindings.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import unittest
 
 kernel_mode = None  # either aten mode or portable mode
diff --git a/extension/pytree/aten_util/ivalue_util.cpp b/extension/pytree/aten_util/ivalue_util.cpp
index 6935d45e92..c4d11c13ee 100644
--- a/extension/pytree/aten_util/ivalue_util.cpp
+++ b/extension/pytree/aten_util/ivalue_util.cpp
@@ -10,13 +10,12 @@
 
 #include <executorch/runtime/platform/assert.h>
 
-namespace torch {
-namespace executor {
-namespace util {
+namespace executorch {
+namespace extension {
 
 using namespace c10;
 using namespace at;
-using namespace torch::executor::pytree;
+using namespace executorch::extension::pytree;
 
 ContainerHandle<IValue> getContainerHandle(const IValue& data) {
   if (data.isList()) {
@@ -214,6 +213,5 @@ bool is_same(const IValue& lhs, const IValue& rhs) {
   return at::all(l == r).item<bool>();
 }
 
-} // namespace util
-} // namespace executor
-} // namespace torch
+} // namespace extension
+} // namespace executorch
diff --git a/extension/pytree/aten_util/ivalue_util.h b/extension/pytree/aten_util/ivalue_util.h
index 7798a3a4b3..b797f13e8f 100644
--- a/extension/pytree/aten_util/ivalue_util.h
+++ b/extension/pytree/aten_util/ivalue_util.h
@@ -19,20 +19,19 @@
 
 #include <executorch/extension/pytree/pytree.h>
 
-namespace torch {
-namespace executor {
-namespace util {
-
-using Empty = torch::executor::pytree::Empty;
+namespace executorch {
+namespace extension {
 
 std::pair<
     std::vector<at::Tensor>,
-    std::unique_ptr<torch::executor::pytree::TreeSpec<Empty>>>
+    std::unique_ptr<::executorch::extension::pytree::TreeSpec<
+        ::executorch::extension::pytree::Empty>>>
 flatten(const c10::IValue& data);
 
 c10::IValue unflatten(
     const std::vector<at::Tensor>& tensors,
-    const std::unique_ptr<torch::executor::pytree::TreeSpec<Empty>>& tree_spec);
+    const std::unique_ptr<::executorch::extension::pytree::TreeSpec<
+        ::executorch::extension::pytree::Empty>>& tree_spec);
 
 bool is_same(
     const std::vector<at::Tensor>& a,
@@ -40,6 +39,17 @@ bool is_same(
 
 bool is_same(const c10::IValue& lhs, const c10::IValue& rhs);
 
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+namespace util {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::flatten;
+using ::executorch::extension::is_same;
+using ::executorch::extension::unflatten;
 } // namespace util
 } // namespace executor
 } // namespace torch
diff --git a/extension/pytree/aten_util/test/ivalue_util_test.cpp b/extension/pytree/aten_util/test/ivalue_util_test.cpp
index 92954f2af8..8b35f173e3 100644
--- a/extension/pytree/aten_util/test/ivalue_util_test.cpp
+++ b/extension/pytree/aten_util/test/ivalue_util_test.cpp
@@ -9,9 +9,9 @@
 #include <executorch/extension/pytree/aten_util/ivalue_util.h>
 #include <gtest/gtest.h>
 
-using namespace c10;
-using namespace torch::executor::pytree;
-using namespace torch::executor::util;
+using executorch::extension::flatten;
+using executorch::extension::is_same;
+using executorch::extension::unflatten;
 
 std::vector<at::Tensor> makeExampleTensors(size_t N) {
   std::vector<at::Tensor> tensors;
@@ -22,7 +22,7 @@ std::vector<at::Tensor> makeExampleTensors(size_t N) {
 }
 
 struct TestCase {
-  IValue ivalue;
+  c10::IValue ivalue;
   std::vector<at::Tensor> tensors;
 };
 
@@ -54,7 +54,7 @@ TestCase makeExampleDictOfTensors() {
 TestCase makeExampleComposite() {
   auto tensors = makeExampleTensors(8);
 
-  IValue list = c10::List<at::Tensor>{
+  c10::IValue list = c10::List<at::Tensor>{
       tensors[1],
       tensors[2],
   };
@@ -100,7 +100,7 @@ void testUnflatten(const TestCase& testcase) {
   auto ret = flatten(testcase.ivalue);
 
   // then we unflatten it
-  IValue unflattened = unflatten(ret.first, ret.second);
+  c10::IValue unflattened = unflatten(ret.first, ret.second);
 
   // and see if we got the same IValue back
   ASSERT_TRUE(is_same(unflattened, testcase.ivalue));
diff --git a/extension/pytree/function_ref.h b/extension/pytree/function_ref.h
index 01d2988597..0458610c4d 100644
--- a/extension/pytree/function_ref.h
+++ b/extension/pytree/function_ref.h
@@ -38,14 +38,16 @@
 #include <type_traits>
 #include <utility>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace extension {
 namespace pytree {
 
 //===----------------------------------------------------------------------===//
 //     Features from C++20
 //===----------------------------------------------------------------------===//
 
+namespace internal {
+
 template <typename T>
 struct remove_cvref {
   using type =
@@ -55,6 +57,8 @@ struct remove_cvref {
 template <typename T>
 using remove_cvref_t = typename remove_cvref<T>::type;
 
+} // namespace internal
+
 template <typename Fn>
 class FunctionRef;
 
@@ -79,7 +83,7 @@ class FunctionRef<Ret(Params...)> {
       typename Callable,
       // This is not the copy-constructor.
       typename std::enable_if<
-          !std::is_same<remove_cvref_t<Callable>, FunctionRef>::value,
+          !std::is_same<internal::remove_cvref_t<Callable>, FunctionRef>::value,
           int32_t>::type = 0,
       // Avoid lvalue reference to non-capturing lambda.
       typename std::enable_if<
@@ -153,6 +157,16 @@ class FunctionRef<Ret(Params...)> {
   }
 };
 
+} // namespace pytree
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+namespace pytree {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::pytree::FunctionRef;
 } // namespace pytree
 } // namespace executor
 } // namespace torch
diff --git a/extension/pytree/pybindings.cpp b/extension/pytree/pybindings.cpp
index 9bcf6043b7..931943e489 100644
--- a/extension/pytree/pybindings.cpp
+++ b/extension/pytree/pybindings.cpp
@@ -15,8 +15,8 @@
 
 namespace py = pybind11;
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace extension {
 namespace pytree {
 
 namespace {
@@ -395,5 +395,5 @@ PYBIND11_MODULE(pybindings, m) {
 }
 
 } // namespace pytree
-} // namespace executor
-} // namespace torch
+} // namespace extension
+} // namespace executorch
diff --git a/extension/pytree/pytree.h b/extension/pytree/pytree.h
index 127310254d..78e2305fe3 100644
--- a/extension/pytree/pytree.h
+++ b/extension/pytree/pytree.h
@@ -19,8 +19,8 @@
 // NB: This is a local, pytree FunctionRef and not from the ExecuTorch runtime.
 #include <executorch/extension/pytree/function_ref.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace extension {
 namespace pytree {
 
 inline void pytree_assert(bool must_be_true) {
@@ -738,6 +738,18 @@ std::pair<arr<T*>, std::unique_ptr<TreeSpec<Aux>>> flatten(
       std::make_unique<TreeSpec<Aux>>(clone(tree, spec_leaves.get()))};
 }
 
+} // namespace pytree
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+namespace pytree {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::pytree::Empty;
+using ::executorch::extension::pytree::from_str;
+using ::executorch::extension::pytree::TreeSpec;
 } // namespace pytree
 } // namespace executor
 } // namespace torch
diff --git a/extension/pytree/test/TARGETS b/extension/pytree/test/TARGETS
index c281994cea..190bdb0bc6 100644
--- a/extension/pytree/test/TARGETS
+++ b/extension/pytree/test/TARGETS
@@ -5,7 +5,7 @@ load("@fbcode_macros//build_defs:python_unittest.bzl", "python_unittest")
 oncall("executorch")
 
 cpp_unittest(
-    name = "cpptest",
+    name = "pytree_test",
     srcs = ["test_pytree.cpp"],
     deps = ["//executorch/extension/pytree:pytree"],
 )
@@ -17,7 +17,7 @@ cpp_unittest(
 )
 
 python_unittest(
-    name = "test",
+    name = "pybindings_test",
     srcs = [
         "test.py",
     ],
diff --git a/extension/pytree/test/function_ref_test.cpp b/extension/pytree/test/function_ref_test.cpp
index f847c8ebd7..a3cdbd824b 100644
--- a/extension/pytree/test/function_ref_test.cpp
+++ b/extension/pytree/test/function_ref_test.cpp
@@ -6,15 +6,13 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-#include <gtest/gtest.h>
-
 #include <executorch/extension/pytree/function_ref.h>
 
+#include <gtest/gtest.h>
+
 using namespace ::testing;
 
-namespace torch {
-namespace executor {
-namespace pytree {
+using ::executorch::extension::pytree::FunctionRef;
 
 namespace {
 class Item {
@@ -84,7 +82,3 @@ TEST(FunctionRefTest, FunctionPointer) {
   Item item1(0, &one);
   EXPECT_EQ(item1.get(), 1);
 }
-
-} // namespace pytree
-} // namespace executor
-} // namespace torch
diff --git a/extension/pytree/test/test_pytree.cpp b/extension/pytree/test/test_pytree.cpp
index 5f8ab72acf..0101bca3f5 100644
--- a/extension/pytree/test/test_pytree.cpp
+++ b/extension/pytree/test/test_pytree.cpp
@@ -6,19 +6,15 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-#include <gtest/gtest.h>
-#include <string>
-
 #include <executorch/extension/pytree/pytree.h>
 
-int main(int argc, char* argv[]) {
-  ::testing::InitGoogleTest(&argc, argv);
-  return RUN_ALL_TESTS();
-}
+#include <gtest/gtest.h>
+#include <string>
 
-namespace torch {
-namespace executor {
-namespace pytree {
+using ::executorch::extension::pytree::ContainerHandle;
+using ::executorch::extension::pytree::Key;
+using ::executorch::extension::pytree::Kind;
+using ::executorch::extension::pytree::unflatten;
 
 using Leaf = int32_t;
 
@@ -187,7 +183,3 @@ TEST(pytree, FlattenNestedDict) {
     ASSERT_EQ(*leaves[i], items[i]);
   }
 }
-
-} // namespace pytree
-} // namespace executor
-} // namespace torch
diff --git a/extension/runner_util/inputs.cpp b/extension/runner_util/inputs.cpp
index 103d3461f0..c33716be67 100644
--- a/extension/runner_util/inputs.cpp
+++ b/extension/runner_util/inputs.cpp
@@ -12,9 +12,15 @@
 #include <executorch/runtime/executor/method_meta.h>
 #include <executorch/runtime/platform/log.h>
 
-namespace torch {
-namespace executor {
-namespace util {
+using executorch::runtime::Error;
+using executorch::runtime::Method;
+using executorch::runtime::MethodMeta;
+using executorch::runtime::Result;
+using executorch::runtime::Tag;
+using executorch::runtime::TensorInfo;
+
+namespace executorch {
+namespace extension {
 
 Result<BufferCleanup> prepare_input_tensors(Method& method) {
   MethodMeta method_meta = method.method_meta();
@@ -25,6 +31,7 @@ Result<BufferCleanup> prepare_input_tensors(Method& method) {
   for (size_t i = 0; i < num_inputs; i++) {
     auto tag = method_meta.input_tag(i);
     if (!tag.ok()) {
+      BufferCleanup cleanup({inputs, num_allocated});
       return tag.error();
     }
     if (tag.get() != Tag::Tensor) {
@@ -53,6 +60,5 @@ Result<BufferCleanup> prepare_input_tensors(Method& method) {
   return BufferCleanup({inputs, num_allocated});
 }
 
-} // namespace util
-} // namespace executor
-} // namespace torch
+} // namespace extension
+} // namespace executorch
diff --git a/extension/runner_util/inputs.h b/extension/runner_util/inputs.h
index 316ae53cb5..b933bca807 100644
--- a/extension/runner_util/inputs.h
+++ b/extension/runner_util/inputs.h
@@ -12,9 +12,8 @@
 #include <executorch/runtime/executor/method.h>
 #include <executorch/runtime/executor/method_meta.h>
 
-namespace torch {
-namespace executor {
-namespace util {
+namespace executorch {
+namespace extension {
 
 /**
  * RAII helper that frees a set of buffers when destroyed. Movable.
@@ -25,14 +24,15 @@ class BufferCleanup final {
    * Takes ownership of `buffers.data()` and the elements of `buffers`, which
    * each will be passed to `free()` when the object is destroyed.
    */
-  explicit BufferCleanup(Span<void*> buffers) : buffers_(buffers) {}
+  explicit BufferCleanup(executorch::runtime::Span<void*> buffers)
+      : buffers_(buffers) {}
 
   /**
    * Move ctor. Takes ownership of the data previously owned by `rhs`, leaving
    * `rhs` with an empty list of buffers.
    */
   BufferCleanup(BufferCleanup&& rhs) noexcept : buffers_(rhs.buffers_) {
-    rhs.buffers_ = Span<void*>();
+    rhs.buffers_ = executorch::runtime::Span<void*>();
   }
 
   ~BufferCleanup() {
@@ -48,7 +48,7 @@ class BufferCleanup final {
   BufferCleanup& operator=(const BufferCleanup&) = delete;
   BufferCleanup& operator=(BufferCleanup&&) noexcept = delete;
 
-  Span<void*> buffers_;
+  executorch::runtime::Span<void*> buffers_;
 };
 
 /**
@@ -61,20 +61,31 @@ class BufferCleanup final {
  *     remain alive when calling `method->execute()`.
  * @returns An error on failure.
  */
-Result<BufferCleanup> prepare_input_tensors(Method& method);
+executorch::runtime::Result<BufferCleanup> prepare_input_tensors(
+    executorch::runtime::Method& method);
 
 namespace internal {
 /**
  * INTERNAL-ONLY: Creates a Tensor using the provided shape and buffer,
  * fills it with ones, and sets the input at `input_index`.
  */
-Error fill_and_set_input(
-    Method& method,
-    TensorInfo& tensor_meta,
+executorch::runtime::Error fill_and_set_input(
+    executorch::runtime::Method& method,
+    executorch::runtime::TensorInfo& tensor_meta,
     size_t input_index,
     void* data_ptr);
 } // namespace internal
 
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+namespace util {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::BufferCleanup;
+using ::executorch::extension::prepare_input_tensors;
 } // namespace util
 } // namespace executor
 } // namespace torch
diff --git a/extension/runner_util/inputs_aten.cpp b/extension/runner_util/inputs_aten.cpp
index d9ccb63fd5..83d12dac42 100644
--- a/extension/runner_util/inputs_aten.cpp
+++ b/extension/runner_util/inputs_aten.cpp
@@ -14,10 +14,12 @@
 #include <executorch/runtime/executor/method.h>
 #include <executorch/runtime/executor/method_meta.h>
 
-namespace torch {
-namespace executor {
-namespace util {
+using executorch::runtime::Error;
+using executorch::runtime::Method;
+using executorch::runtime::TensorInfo;
 
+namespace executorch {
+namespace extension {
 namespace internal {
 
 Error fill_and_set_input(
@@ -38,7 +40,5 @@ Error fill_and_set_input(
 }
 
 } // namespace internal
-
-} // namespace util
-} // namespace executor
-} // namespace torch
+} // namespace extension
+} // namespace executorch
diff --git a/extension/runner_util/inputs_portable.cpp b/extension/runner_util/inputs_portable.cpp
index f799a968cf..f9db03bcd1 100644
--- a/extension/runner_util/inputs_portable.cpp
+++ b/extension/runner_util/inputs_portable.cpp
@@ -16,9 +16,14 @@
 #include <executorch/runtime/executor/method_meta.h>
 #include <executorch/runtime/platform/log.h>
 
-namespace torch {
-namespace executor {
-namespace util {
+using exec_aten::Tensor;
+using exec_aten::TensorImpl;
+using executorch::runtime::Error;
+using executorch::runtime::Method;
+using executorch::runtime::TensorInfo;
+
+namespace executorch {
+namespace extension {
 namespace internal {
 
 namespace {
@@ -68,6 +73,5 @@ Error fill_and_set_input(
 }
 
 } // namespace internal
-} // namespace util
-} // namespace executor
-} // namespace torch
+} // namespace extension
+} // namespace executorch
diff --git a/extension/runner_util/managed_tensor.h b/extension/runner_util/managed_tensor.h
deleted file mode 100644
index d92f8d19be..0000000000
--- a/extension/runner_util/managed_tensor.h
+++ /dev/null
@@ -1,102 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#include <executorch/runtime/core/exec_aten/exec_aten.h>
-#include <executorch/runtime/core/exec_aten/util/dim_order_util.h>
-#include <executorch/runtime/core/exec_aten/util/tensor_util.h>
-#include <executorch/runtime/platform/assert.h>
-#include <memory>
-// NOTE: required by torchchat install_et.sh script.
-// @nolint PATTERNLINT Ok to use stdlib for this optional library
-#include <vector>
-
-#ifdef USE_ATEN_LIB
-#include <torch/torch.h>
-#else
-#include <executorch/runtime/core/portable_type/tensor.h>
-#endif
-#pragma once
-
-namespace torch {
-namespace executor {
-
-/**
- * A tensor wrapper takes ownership of all the memory of the necessary metadata
- * for torch::executor::Tensor. Note that it doesn't own the data memory.
- */
-class ManagedTensor {
- public:
-  /// The type used for elements of `sizes()`.
-  using SizesType = exec_aten::SizesType;
-  /// The type used for elements of `dim_order()`.
-  using DimOrderType = exec_aten::DimOrderType;
-  /// The type used for elements of `strides()`.
-  using StridesType = exec_aten::StridesType;
-  ManagedTensor() = delete;
-
-  explicit ManagedTensor(
-      void* data,
-      const std::vector<SizesType>& sizes,
-      ScalarType dtype)
-      : dtype_(dtype), sizes_(sizes), data_ptr_(data) {
-#ifdef USE_ATEN_LIB
-    tensor_ = torch::from_blob(data, sizes, dtype_);
-#else
-    ssize_t dim = sizes.size();
-    dim_order_.resize(dim);
-    strides_.resize(dim);
-    for (size_t i = 0; i < dim; ++i) {
-      dim_order_[i] = i;
-    }
-    dim_order_to_stride_nocheck(
-        sizes.data(), dim_order_.data(), dim, strides_.data());
-    tensor_impl_ = std::make_unique<TensorImpl>(
-        dtype_,
-        dim,
-        sizes_.data(),
-        data_ptr_,
-        dim_order_.data(),
-        strides_.data(),
-        TensorShapeDynamism::DYNAMIC_BOUND);
-#endif
-  }
-
-  void resize(const std::vector<SizesType>& new_sizes) {
-    ET_CHECK_MSG(
-        new_sizes.size() == sizes_.size(),
-        "Cannot change rank of a managed tensor");
-    auto err = resize_tensor(
-        this->get_aliasing_tensor(),
-        exec_aten::ArrayRef<SizesType>(new_sizes.data(), new_sizes.size()));
-    ET_CHECK(err == Error::Ok);
-  }
-
-  /**
-   * Get the underlying Tensor object. This is assuming the copying is cheap.
-   */
-  Tensor get_aliasing_tensor() {
-#ifdef USE_ATEN_LIB
-    return tensor_;
-#else
-    return Tensor(tensor_impl_.get());
-#endif
-  }
-
- private:
-  ScalarType dtype_;
-  std::unique_ptr<TensorImpl> tensor_impl_;
-  std::vector<SizesType> sizes_;
-  std::vector<StridesType> strides_;
-  std::vector<DimOrderType> dim_order_;
-  void* data_ptr_ = nullptr;
-#ifdef USE_ATEN_LIB
-  Tensor tensor_;
-#endif
-};
-} // namespace executor
-} // namespace torch
diff --git a/extension/runner_util/targets.bzl b/extension/runner_util/targets.bzl
index 43c0ed08f3..bc0fee197d 100644
--- a/extension/runner_util/targets.bzl
+++ b/extension/runner_util/targets.bzl
@@ -26,18 +26,3 @@ def define_common_targets():
                 "//executorch/runtime/executor:program" + aten_suffix,
             ],
         )
-
-        runtime.cxx_library(
-            name = "managed_tensor" + aten_suffix,
-            exported_headers = [
-                "managed_tensor.h",
-            ],
-            visibility = [
-                "//executorch/...",
-                "@EXECUTORCH_CLIENTS",
-            ],
-            deps = [
-                "//executorch/runtime/core/exec_aten:lib" + aten_suffix,
-                "//executorch/runtime/core/exec_aten/util:tensor_util" + aten_suffix,
-            ],
-        )
diff --git a/extension/runner_util/test/CMakeLists.txt b/extension/runner_util/test/CMakeLists.txt
index 6b295611fd..aefb3b0417 100644
--- a/extension/runner_util/test/CMakeLists.txt
+++ b/extension/runner_util/test/CMakeLists.txt
@@ -23,7 +23,7 @@ set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../../..)
 
 include(${EXECUTORCH_ROOT}/build/Test.cmake)
 
-set(_test_srcs inputs_test.cpp managed_tensor_test.cpp)
+set(_test_srcs inputs_test.cpp)
 
 et_cxx_test(
   extension_runner_util_test
diff --git a/extension/runner_util/test/inputs_test.cpp b/extension/runner_util/test/inputs_test.cpp
index 94e99bcc09..c916da488e 100644
--- a/extension/runner_util/test/inputs_test.cpp
+++ b/extension/runner_util/test/inputs_test.cpp
@@ -20,20 +20,19 @@
 using namespace ::testing;
 using exec_aten::ScalarType;
 using exec_aten::Tensor;
-using torch::executor::Error;
-using torch::executor::EValue;
-using torch::executor::MemoryAllocator;
-using torch::executor::MemoryManager;
-using torch::executor::Method;
-using torch::executor::Program;
-using torch::executor::Result;
-using torch::executor::Span;
-using torch::executor::Tag;
-using torch::executor::Tensor;
-using torch::executor::testing::ManagedMemoryManager;
-using torch::executor::util::BufferCleanup;
-using torch::executor::util::FileDataLoader;
-using torch::executor::util::prepare_input_tensors;
+using executorch::extension::BufferCleanup;
+using executorch::extension::FileDataLoader;
+using executorch::extension::prepare_input_tensors;
+using executorch::runtime::Error;
+using executorch::runtime::EValue;
+using executorch::runtime::MemoryAllocator;
+using executorch::runtime::MemoryManager;
+using executorch::runtime::Method;
+using executorch::runtime::Program;
+using executorch::runtime::Result;
+using executorch::runtime::Span;
+using executorch::runtime::Tag;
+using executorch::runtime::testing::ManagedMemoryManager;
 
 class InputsTest : public ::testing::Test {
  protected:
diff --git a/extension/runner_util/test/managed_tensor_test.cpp b/extension/runner_util/test/managed_tensor_test.cpp
deleted file mode 100644
index 9c14553ed8..0000000000
--- a/extension/runner_util/test/managed_tensor_test.cpp
+++ /dev/null
@@ -1,108 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#include <executorch/extension/runner_util/managed_tensor.h>
-
-#include <executorch/runtime/platform/runtime.h>
-
-#include <gtest/gtest.h>
-
-using namespace ::testing;
-using exec_aten::DimOrderType;
-using exec_aten::ScalarType;
-using exec_aten::SizesType;
-using exec_aten::StridesType;
-using torch::executor::ArrayRef;
-using torch::executor::ManagedTensor;
-
-class ManagedTensorTest : public ::testing::Test {
- protected:
-  void SetUp() override {
-    torch::executor::runtime_init();
-
-    data_ = {1, 2, 3, 4, 5, 6};
-    sizes_ = {2, 3};
-    managed_tensor_ =
-        std::make_unique<ManagedTensor>(data_.data(), sizes_, ScalarType::Long);
-  }
-
- protected:
-  std::vector<int64_t> data_;
-  std::vector<SizesType> sizes_;
-  std::unique_ptr<ManagedTensor> managed_tensor_;
-};
-
-TEST_F(ManagedTensorTest, Smoke) {
-  const auto tensor = managed_tensor_->get_aliasing_tensor();
-
-  EXPECT_EQ(tensor.sizes(), ArrayRef<SizesType>(sizes_.data(), sizes_.size()));
-  EXPECT_EQ(tensor.scalar_type(), ScalarType::Long);
-  std::vector<DimOrderType> expected_dim_order = {0, 1};
-  EXPECT_EQ(
-      tensor.dim_order(),
-      ArrayRef<DimOrderType>(
-          expected_dim_order.data(), expected_dim_order.size()));
-  std::vector<StridesType> expected_strides = {3, 1};
-  EXPECT_EQ(
-      tensor.strides(),
-      ArrayRef<StridesType>(expected_strides.data(), expected_strides.size()));
-  EXPECT_EQ(tensor.const_data_ptr(), data_.data());
-}
-
-TEST_F(ManagedTensorTest, ResizeWithUpdatedRank) {
-  // gtest death test doesn't work on iOS:
-  // https://github.com/google/googletest/issues/2834
-#if !GTEST_OS_IOS
-  EXPECT_EXIT(
-      managed_tensor_->resize(std::vector<SizesType>{2, 3, 4}),
-      ::testing::KilledBySignal(SIGABRT),
-      "");
-#endif
-}
-
-TEST_F(ManagedTensorTest, ResizeShrink) {
-  managed_tensor_->resize(std::vector<SizesType>{2, 2});
-  const auto tensor = managed_tensor_->get_aliasing_tensor();
-
-  std::vector<SizesType> expected_sizes = {2, 2};
-  EXPECT_EQ(
-      tensor.sizes(),
-      ArrayRef<SizesType>(expected_sizes.data(), expected_sizes.size()));
-  EXPECT_EQ(tensor.scalar_type(), ScalarType::Long);
-  std::vector<DimOrderType> expected_dim_order = {0, 1};
-  EXPECT_EQ(
-      tensor.dim_order(),
-      ArrayRef<DimOrderType>(
-          expected_dim_order.data(), expected_dim_order.size()));
-  std::vector<StridesType> expected_strides = {2, 1};
-  EXPECT_EQ(
-      tensor.strides(),
-      ArrayRef<StridesType>(expected_strides.data(), expected_strides.size()));
-  EXPECT_EQ(tensor.const_data_ptr(), data_.data());
-}
-
-TEST_F(ManagedTensorTest, Resize) {
-  managed_tensor_->resize(std::vector<SizesType>{3, 2});
-  const auto tensor = managed_tensor_->get_aliasing_tensor();
-
-  std::vector<SizesType> expected_sizes = {3, 2};
-  EXPECT_EQ(
-      tensor.sizes(),
-      ArrayRef<SizesType>(expected_sizes.data(), expected_sizes.size()));
-  EXPECT_EQ(tensor.scalar_type(), ScalarType::Long);
-  std::vector<DimOrderType> expected_dim_order = {0, 1};
-  EXPECT_EQ(
-      tensor.dim_order(),
-      ArrayRef<DimOrderType>(
-          expected_dim_order.data(), expected_dim_order.size()));
-  std::vector<StridesType> expected_strides = {2, 1};
-  EXPECT_EQ(
-      tensor.strides(),
-      ArrayRef<StridesType>(expected_strides.data(), expected_strides.size()));
-  EXPECT_EQ(tensor.const_data_ptr(), data_.data());
-}
diff --git a/extension/runner_util/test/targets.bzl b/extension/runner_util/test/targets.bzl
index 7c042ca9d9..f55a1ea995 100644
--- a/extension/runner_util/test/targets.bzl
+++ b/extension/runner_util/test/targets.bzl
@@ -30,15 +30,3 @@ def define_common_targets(is_fbcode = False):
                     "ET_MODULE_ADD_PATH": "$(location fbcode//executorch/test/models:exported_programs[ModuleAdd.pte])",
                 },
             )
-
-    runtime.cxx_test(
-        name = "managed_tensor_test",
-        srcs = [
-            "managed_tensor_test.cpp",
-        ],
-        deps = [
-            "//executorch/extension/runner_util:managed_tensor",
-            "//executorch/runtime/core/exec_aten:lib",
-            "//executorch/runtime/core/exec_aten/util:tensor_util",
-        ],
-    )
diff --git a/extension/tensor/CMakeLists.txt b/extension/tensor/CMakeLists.txt
new file mode 100644
index 0000000000..2cf1bf2956
--- /dev/null
+++ b/extension/tensor/CMakeLists.txt
@@ -0,0 +1,31 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# Please this file formatted by running:
+# ~~~
+# cmake-format -i CMakeLists.txt
+# ~~~
+
+cmake_minimum_required(VERSION 3.19)
+
+# Source root directory for executorch.
+if(NOT EXECUTORCH_ROOT)
+  set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../..)
+endif()
+
+list(TRANSFORM _extension_tensor__srcs PREPEND "${EXECUTORCH_ROOT}/")
+add_library(extension_tensor ${_extension_tensor__srcs})
+target_link_libraries(extension_tensor executorch_no_prim_ops)
+target_include_directories(extension_tensor PUBLIC ${EXECUTORCH_ROOT}/..)
+target_compile_options(extension_tensor PUBLIC ${_common_compile_options})
+
+# Install libraries
+install(
+  TARGETS extension_tensor
+  DESTINATION lib
+  INCLUDES
+  DESTINATION ${_common_include_directories}
+)
diff --git a/examples/sdk/sdk_example_runner/TARGETS b/extension/tensor/TARGETS
similarity index 100%
rename from examples/sdk/sdk_example_runner/TARGETS
rename to extension/tensor/TARGETS
diff --git a/extension/tensor/targets.bzl b/extension/tensor/targets.bzl
new file mode 100644
index 0000000000..8493d093fa
--- /dev/null
+++ b/extension/tensor/targets.bzl
@@ -0,0 +1,37 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+
+    for aten_mode in (True, False):
+        aten_suffix = ("_aten" if aten_mode else "")
+
+        runtime.cxx_library(
+            name = "tensor" + aten_suffix,
+            srcs = [
+                "tensor_impl_ptr.cpp",
+                "tensor_ptr.cpp",
+                "tensor_ptr_maker.cpp",
+            ],
+            exported_headers = [
+                "tensor.h",
+                "tensor_impl_ptr.h",
+                "tensor_ptr.h",
+                "tensor_ptr_maker.h",
+            ],
+            visibility = [
+                "@EXECUTORCH_CLIENTS",
+            ],
+            deps = [
+                "//executorch/runtime/core/exec_aten/util:dim_order_util" + aten_suffix,
+                "//executorch/runtime/core/exec_aten/util:tensor_util" + aten_suffix,
+            ],
+            exported_deps = [
+                "//executorch/runtime/core/exec_aten:lib" + aten_suffix,
+                "//executorch/runtime/core/exec_aten/util:scalar_type_util" + aten_suffix,
+            ],
+        )
diff --git a/extension/tensor/tensor.h b/extension/tensor/tensor.h
new file mode 100644
index 0000000000..0de8c39b75
--- /dev/null
+++ b/extension/tensor/tensor.h
@@ -0,0 +1,14 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+// Umbrella header for the Tensor extension.
+#include <executorch/extension/tensor/tensor_impl_ptr.h>
+#include <executorch/extension/tensor/tensor_ptr.h>
+#include <executorch/extension/tensor/tensor_ptr_maker.h>
diff --git a/extension/tensor/tensor_impl_ptr.cpp b/extension/tensor/tensor_impl_ptr.cpp
new file mode 100644
index 0000000000..358acfd185
--- /dev/null
+++ b/extension/tensor/tensor_impl_ptr.cpp
@@ -0,0 +1,155 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/extension/tensor/tensor_impl_ptr.h>
+
+#include <algorithm>
+#include <numeric>
+
+#include <executorch/runtime/core/exec_aten/util/dim_order_util.h>
+
+namespace executorch {
+namespace extension {
+namespace {
+#ifndef USE_ATEN_LIB
+// No-op deleter that does nothing when called.
+static void noop_deleter(void*) {}
+
+/**
+ * Custom deleter for TensorImplPtr that ensures the memory associated with
+ * dynamic metadata (sizes, dim_order, and strides) is properly managed when the
+ * TensorImpl is destroyed.
+ *
+ * Since TensorImpl does not own the metadata arrays (sizes, dim_order,
+ * strides), this deleter is responsible for releasing that memory when the
+ * TensorImpl is destroyed.
+ */
+struct TensorImplPtrDeleter final {
+  // A custom deleter of the std::shared_ptr is required to be copyable until
+  // C++20, so any data it holds must be copyable too. Hence, we use shared_ptr
+  // to hold the data and metadata to avoid unnecessary copies.
+  std::shared_ptr<void> data;
+  std::shared_ptr<std::vector<exec_aten::SizesType>> sizes;
+  std::shared_ptr<std::vector<exec_aten::DimOrderType>> dim_order;
+  std::shared_ptr<std::vector<exec_aten::StridesType>> strides;
+
+  void operator()(exec_aten::TensorImpl* pointer) {
+    // Release all resources immediately since the data held by the
+    // TensorImplPtrDeleter is tied to the managed object, not the smart pointer
+    // itself. We need to free this memory when the object is destroyed, not
+    // when the smart pointer (and deleter) are eventually destroyed or reset.
+    data.reset();
+    sizes.reset();
+    dim_order.reset();
+    strides.reset();
+    delete pointer;
+  }
+};
+#endif // USE_ATEN_LIB
+} // namespace
+
+TensorImplPtr make_tensor_impl_ptr(
+    std::vector<exec_aten::SizesType> sizes,
+    void* data,
+    std::vector<exec_aten::DimOrderType> dim_order,
+    std::vector<exec_aten::StridesType> strides,
+    exec_aten::ScalarType type,
+    exec_aten::TensorShapeDynamism dynamism,
+    std::function<void(void*)> deleter) {
+  const auto dim = sizes.size();
+  ET_CHECK_MSG(
+      dim_order.empty() || dim_order.size() == dim,
+      "dim_order size must match sizes or be empty.");
+  ET_CHECK_MSG(
+      strides.empty() || strides.size() == dim,
+      "strides size must match sizes or be empty.");
+
+  if (dim_order.empty()) {
+    dim_order.resize(dim);
+    std::iota(dim_order.begin(), dim_order.end(), 0);
+    if (!strides.empty()) {
+      std::sort(dim_order.begin(), dim_order.end(), [&](size_t a, size_t b) {
+        return strides[a] > strides[b];
+      });
+    }
+  }
+  std::vector<exec_aten::StridesType> computed_strides(dim);
+  auto error = runtime::dim_order_to_stride(
+      sizes.data(), dim_order.data(), dim, computed_strides.data());
+  ET_CHECK_MSG(error == runtime::Error::Ok, "Failed to compute strides.");
+
+  if (!strides.empty()) {
+    ET_CHECK_MSG(computed_strides == strides, "Invalid strides provided.");
+  } else {
+    strides = std::move(computed_strides);
+  }
+#ifndef USE_ATEN_LIB
+  auto tensor_impl = std::make_unique<exec_aten::TensorImpl>(
+      type,
+      dim,
+      sizes.data(),
+      data,
+      dim_order.data(),
+      strides.data(),
+      dim > 0 ? dynamism : exec_aten::TensorShapeDynamism::STATIC);
+  return TensorImplPtr(
+      tensor_impl.release(),
+      TensorImplPtrDeleter{
+          std::shared_ptr<void>(
+              data, deleter ? std::move(deleter) : noop_deleter),
+          std::make_shared<std::vector<exec_aten::SizesType>>(std::move(sizes)),
+          std::make_shared<std::vector<exec_aten::DimOrderType>>(
+              std::move(dim_order)),
+          std::make_shared<std::vector<exec_aten::StridesType>>(
+              std::move(strides))});
+#else
+  auto options = c10::TensorOptions()
+                     .dtype(c10::scalarTypeToTypeMeta(type))
+                     .device(c10::kCPU);
+  auto storage = c10::Storage(
+      c10::Storage::use_byte_size_t(),
+      at::detail::computeStorageNbytes(
+          sizes, strides, options.dtype().itemsize()),
+      c10::InefficientStdFunctionContext::makeDataPtr(
+          data, std::move(deleter), options.device()),
+      nullptr,
+      false);
+  auto tensor_impl = c10::make_intrusive<at::TensorImpl>(
+      std::move(storage),
+      c10::DispatchKeySet(c10::DispatchKey::CPU),
+      options.dtype());
+  tensor_impl->set_sizes_and_strides(sizes, strides);
+  return tensor_impl;
+#endif // USE_ATEN_LIB
+}
+
+TensorImplPtr make_tensor_impl_ptr(
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<uint8_t> data,
+    std::vector<exec_aten::DimOrderType> dim_order,
+    std::vector<exec_aten::StridesType> strides,
+    exec_aten::ScalarType type,
+    exec_aten::TensorShapeDynamism dynamism) {
+  ET_CHECK_MSG(
+      data.size() >= exec_aten::compute_numel(sizes.data(), sizes.size()) *
+              exec_aten::elementSize(type),
+      "Data size is smaller than required by sizes and scalar type.");
+  auto raw_data_ptr = data.data();
+  auto data_ptr = std::make_shared<std::vector<uint8_t>>(std::move(data));
+  return make_tensor_impl_ptr(
+      std::move(sizes),
+      raw_data_ptr,
+      std::move(dim_order),
+      std::move(strides),
+      type,
+      dynamism,
+      [data_ptr = std::move(data_ptr)](void*) {});
+}
+
+} // namespace extension
+} // namespace executorch
diff --git a/extension/tensor/tensor_impl_ptr.h b/extension/tensor/tensor_impl_ptr.h
new file mode 100644
index 0000000000..89fc7ff1eb
--- /dev/null
+++ b/extension/tensor/tensor_impl_ptr.h
@@ -0,0 +1,327 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <functional>
+#include <memory>
+#include <vector>
+
+#include <executorch/runtime/core/exec_aten/exec_aten.h>
+#include <executorch/runtime/core/exec_aten/util/scalar_type_util.h>
+#include <executorch/runtime/platform/compiler.h>
+
+namespace executorch {
+namespace extension {
+
+#ifndef USE_ATEN_LIB
+/**
+ * A smart pointer for managing the lifecycle of a TensorImpl.
+ *
+ * TensorImplPtr uses a shared pointer since multiple Tensor objects may
+ * share the same underlying data and metadata. This shared ownership ensures
+ * that the TensorImpl is destroyed only when all references to it are gone,
+ * providing a safe and efficient way to manage shared tensor implementations.
+ * It serves as a safer, more convenient alternative to the original TensorImpl,
+ * which does not manage its metadata by design.
+ */
+using TensorImplPtr = std::shared_ptr<exec_aten::TensorImpl>;
+#else
+/**
+ * A smart pointer type for managing the lifecycle of a TensorImpl.
+ *
+ * TensorImplPtr uses an intrusive pointer when working with ATen, ensuring
+ * efficient reference counting and shared ownership of the underlying data and
+ * metadata.
+ */
+using TensorImplPtr =
+    c10::intrusive_ptr<exec_aten::TensorImpl, at::UndefinedTensorImpl>;
+#endif // USE_ATEN_LIB
+
+/**
+ * Creates a TensorImplPtr that manages a newly created TensorImpl with the
+ * specified properties.
+ *
+ * @param sizes A vector specifying the size of each dimension.
+ * @param data A pointer to the data buffer.
+ * @param dim_order A vector specifying the order of dimensions.
+ * @param strides A vector specifying the strides of each dimension.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies the mutability of the tensor's shape.
+ * @param deleter A custom deleter function for managing the lifetime of the
+ * data buffer. If provided, this deleter is called when the managed TensorImpl
+ * is destroyed.
+ * @return A TensorImplPtr managing the newly created TensorImpl.
+ */
+TensorImplPtr make_tensor_impl_ptr(
+    std::vector<exec_aten::SizesType> sizes,
+    void* data,
+    std::vector<exec_aten::DimOrderType> dim_order,
+    std::vector<exec_aten::StridesType> strides,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND,
+    std::function<void(void*)> deleter = nullptr);
+
+/**
+ * Creates a TensorImplPtr that manages a newly created TensorImpl with the
+ * specified properties.
+ *
+ * @param sizes A vector specifying the size of each dimension.
+ * @param data A pointer to the data buffer.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies the mutability of the tensor's shape.
+ * @param deleter A custom deleter function for managing the lifetime of the
+ * data buffer. If provided, this deleter is called when the managed TensorImpl
+ * is destroyed.
+ * @return A TensorImplPtr managing the newly created TensorImpl.
+ */
+inline TensorImplPtr make_tensor_impl_ptr(
+    std::vector<exec_aten::SizesType> sizes,
+    void* data,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND,
+    std::function<void(void*)> deleter = nullptr) {
+  return make_tensor_impl_ptr(
+      std::move(sizes), data, {}, {}, type, dynamism, std::move(deleter));
+}
+
+/**
+ * Creates a TensorImplPtr that manages a newly created TensorImpl with the
+ * specified properties.
+ *
+ * This template overload is specialized for cases where tensor data is provided
+ * as a vector. If the specified `type` differs from the deduced type of the
+ * vector's elements, and casting is allowed, the data will be cast to the
+ * specified `type`. This allows for flexible creation of tensors with data
+ * vectors of one type and a different scalar type.
+ *
+ * @tparam T The C++ type of the tensor elements, deduced from the vector.
+ * @param sizes A vector specifying the size of each dimension.
+ * @param data A vector containing the tensor's data.
+ * @param dim_order A vector specifying the order of dimensions.
+ * @param strides A vector specifying the strides of each dimension.
+ * @param type The scalar type of the tensor elements. If it differs from the
+ * deduced type, the data will be cast to this type if allowed.
+ * @param dynamism Specifies the mutability of the tensor's shape.
+ * @return A TensorImplPtr that manages the newly created TensorImpl.
+ */
+template <
+    typename T = float,
+    exec_aten::ScalarType deduced_type = runtime::CppTypeToScalarType<T>::value>
+TensorImplPtr make_tensor_impl_ptr(
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<T> data,
+    std::vector<exec_aten::DimOrderType> dim_order = {},
+    std::vector<exec_aten::StridesType> strides = {},
+    exec_aten::ScalarType type = deduced_type,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  if (type != deduced_type) {
+    ET_CHECK_MSG(
+        runtime::canCast(deduced_type, type),
+        "Cannot cast deduced type to specified type.");
+    std::vector<uint8_t> casted_data(data.size() * runtime::elementSize(type));
+    ET_SWITCH_REALHBBF16_TYPES(
+        type, nullptr, "make_tensor_impl_ptr", CTYPE, [&] {
+          std::transform(
+              data.begin(),
+              data.end(),
+              reinterpret_cast<CTYPE*>(casted_data.data()),
+              [](const T& val) { return static_cast<CTYPE>(val); });
+        });
+    const auto raw_data_ptr = casted_data.data();
+    auto data_ptr =
+        std::make_shared<std::vector<uint8_t>>(std::move(casted_data));
+    return make_tensor_impl_ptr(
+        std::move(sizes),
+        raw_data_ptr,
+        std::move(dim_order),
+        std::move(strides),
+        type,
+        dynamism,
+        [data_ptr = std::move(data_ptr)](void*) {});
+  }
+  const auto raw_data_ptr = data.data();
+  auto data_ptr = std::make_shared<std::vector<T>>(std::move(data));
+  return make_tensor_impl_ptr(
+      std::move(sizes),
+      raw_data_ptr,
+      std::move(dim_order),
+      std::move(strides),
+      type,
+      dynamism,
+      [data_ptr = std::move(data_ptr)](void*) {});
+}
+
+/**
+ * Creates a TensorImplPtr that manages a newly created TensorImpl with the
+ * specified properties.
+ *
+ * This template overload is specialized for cases where tensor data is provided
+ * as a vector. If the specified `type` differs from the deduced type of the
+ * vector's elements, and casting is allowed, the data will be cast to the
+ * specified `type`. This allows for flexible creation of tensors with data
+ * vectors of one type and a different scalar type.
+ *
+ * @tparam T The C++ type of the tensor elements, deduced from the vector.
+ * @param data A vector containing the tensor's data.
+ * @param type The scalar type of the tensor elements. If it differs from the
+ * deduced type, the data will be cast to this type if allowed.
+ * @param dynamism Specifies the mutability of the tensor's shape.
+ * @return A TensorImplPtr that manages the newly created TensorImpl.
+ */
+template <
+    typename T = float,
+    exec_aten::ScalarType deduced_type = runtime::CppTypeToScalarType<T>::value>
+inline TensorImplPtr make_tensor_impl_ptr(
+    std::vector<T> data,
+    exec_aten::ScalarType type = deduced_type,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  std::vector<exec_aten::SizesType> sizes{exec_aten::SizesType(data.size())};
+  return make_tensor_impl_ptr(
+      std::move(sizes), std::move(data), {0}, {1}, type, dynamism);
+}
+
+/**
+ * Creates a TensorImplPtr that manages a newly created TensorImpl with the
+ * specified properties.
+ *
+ * This template overload is specialized for cases where tensor data is provided
+ * as an initializer list. If the specified `type` differs from the deduced type
+ * of the initializer list's elements, and casting is allowed, the data will be
+ * cast to the specified `type`. This allows for flexible creation of tensors
+ * with data initializer list of one type and a different scalar type.
+ *
+ * @tparam T The C++ type of the tensor elements, deduced from the initializer
+ * list.
+ * @param sizes A vector specifying the size of each dimension.
+ * @param list An initializer list containing the tensor's data.
+ * @param dim_order A vector specifying the order of dimensions.
+ * @param strides A vector specifying the strides of each dimension.
+ * @param type The scalar type of the tensor elements. If it differs from the
+ * deduced type, the data will be cast to this type if allowed.
+ * @param dynamism Specifies the mutability of the tensor's shape.
+ * @return A TensorImplPtr that manages the newly created TensorImpl.
+ */
+template <
+    typename T = float,
+    exec_aten::ScalarType deduced_type = runtime::CppTypeToScalarType<T>::value>
+inline TensorImplPtr make_tensor_impl_ptr(
+    std::vector<exec_aten::SizesType> sizes,
+    std::initializer_list<T> list,
+    std::vector<exec_aten::DimOrderType> dim_order = {},
+    std::vector<exec_aten::StridesType> strides = {},
+    exec_aten::ScalarType type = deduced_type,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return make_tensor_impl_ptr(
+      std::move(sizes),
+      std::vector<T>(std::move(list)),
+      std::move(dim_order),
+      std::move(strides),
+      type,
+      dynamism);
+}
+
+/**
+ * Creates a TensorImplPtr that manages a newly created TensorImpl with the
+ * specified properties.
+ *
+ * This template overload is specialized for cases where tensor data is provided
+ * as an initializer list. If the specified `type` differs from the deduced type
+ * of the initializer list's elements, and casting is allowed, the data will be
+ * cast to the specified `type`. This allows for flexible creation of tensors
+ * with data initializer list of one type and a different scalar type.
+ *
+ * @tparam T The C++ type of the tensor elements, deduced from the initializer
+ * list.
+ * @param list An initializer list containing the tensor's data.
+ * @param type The scalar type of the tensor elements. If it differs from the
+ * deduced type, the data will be cast to this type if allowed.
+ * @param dynamism Specifies the mutability of the tensor's shape.
+ * @return A TensorImplPtr that manages the newly created TensorImpl.
+ */
+template <
+    typename T = float,
+    exec_aten::ScalarType deduced_type = runtime::CppTypeToScalarType<T>::value>
+inline TensorImplPtr make_tensor_impl_ptr(
+    std::initializer_list<T> list,
+    exec_aten::ScalarType type = deduced_type,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  std::vector<exec_aten::SizesType> sizes{exec_aten::SizesType(list.size())};
+  return make_tensor_impl_ptr(
+      std::move(sizes), std::move(list), {0}, {1}, type, dynamism);
+}
+
+/**
+ * Creates a TensorImplPtr to manage a Tensor with a single scalar value.
+ *
+ * @tparam T The C++ type of the scalar value.
+ * @param value The scalar value used for the Tensor.
+ * @return A TensorImplPtr managing the newly created TensorImpl.
+ */
+template <typename T>
+inline TensorImplPtr make_tensor_impl_ptr(T value) {
+  return make_tensor_impl_ptr({}, std::vector<T>{value});
+}
+
+/**
+ * Creates a TensorImplPtr that manages a newly created TensorImpl with the
+ * specified properties.
+ *
+ * This overload accepts a raw memory buffer stored in a std::vector<uint8_t>
+ * and a scalar type to interpret the data. The vector is managed, and its
+ * lifetime is tied to the TensorImpl.
+ *
+ * @param sizes A vector specifying the size of each dimension.
+ * @param data A vector containing the raw memory buffer for the tensor's data.
+ * @param dim_order A vector specifying the order of dimensions.
+ * @param strides A vector specifying the strides of each dimension.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies the mutability of the tensor's shape.
+ * @return A TensorImplPtr managing the newly created TensorImpl.
+ */
+TensorImplPtr make_tensor_impl_ptr(
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<uint8_t> data,
+    std::vector<exec_aten::DimOrderType> dim_order,
+    std::vector<exec_aten::StridesType> strides,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND);
+
+/**
+ * Creates a TensorImplPtr that manages a newly created TensorImpl with the
+ * specified properties.
+ *
+ * This overload accepts a raw memory buffer stored in a std::vector<uint8_t>
+ * and a scalar type to interpret the data. The vector is managed, and the
+ * memory's lifetime is tied to the TensorImpl.
+ *
+ * @param sizes A vector specifying the size of each dimension.
+ * @param data A vector containing the raw memory for the tensor's data.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies the mutability of the tensor's shape.
+ * @return A TensorImplPtr managing the newly created TensorImpl.
+ */
+inline TensorImplPtr make_tensor_impl_ptr(
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<uint8_t> data,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return make_tensor_impl_ptr(
+      std::move(sizes), std::move(data), {}, {}, type, dynamism);
+}
+
+} // namespace extension
+} // namespace executorch
diff --git a/extension/tensor/tensor_ptr.cpp b/extension/tensor/tensor_ptr.cpp
new file mode 100644
index 0000000000..7a0aa997f0
--- /dev/null
+++ b/extension/tensor/tensor_ptr.cpp
@@ -0,0 +1,25 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/extension/tensor/tensor_ptr.h>
+
+#include <executorch/runtime/core/exec_aten/util/tensor_util.h>
+
+namespace executorch {
+namespace extension {
+
+runtime::Error resize_tensor_ptr(
+    TensorPtr& tensor,
+    const std::vector<exec_aten::SizesType>& sizes) {
+  return runtime::resize_tensor(
+      *tensor,
+      exec_aten::ArrayRef<exec_aten::SizesType>(sizes.data(), sizes.size()));
+}
+
+} // namespace extension
+} // namespace executorch
diff --git a/extension/tensor/tensor_ptr.h b/extension/tensor/tensor_ptr.h
new file mode 100644
index 0000000000..e8a97be036
--- /dev/null
+++ b/extension/tensor/tensor_ptr.h
@@ -0,0 +1,454 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <executorch/extension/tensor/tensor_impl_ptr.h>
+#include <executorch/runtime/core/error.h>
+
+namespace executorch {
+namespace extension {
+
+#ifndef USE_ATEN_LIB
+namespace internal {
+/**
+ * Custom deleter for TensorPtr that ensures proper management of the associated
+ * TensorImplPtr.
+ *
+ * Since Tensor does not own its TensorImpl, this deleter manages the
+ * TensorImplPtr lifecycle, ensuring dynamic metadata (sizes, dim_order,
+ * strides) is released appropriately when the Tensor is destroyed.
+ */
+struct TensorPtrDeleter final {
+  TensorImplPtr tensor_impl;
+
+  void operator()(exec_aten::Tensor* pointer) {
+    // Release all resources immediately since the data held by the
+    // TensorPtrDeleter is tied to the managed object, not the smart pointer
+    // itself. We need to free this memory when the object is destroyed, not
+    // when the smart pointer (and deleter) are eventually destroyed or reset.
+    tensor_impl.reset();
+    delete pointer;
+  }
+};
+} // namespace internal
+
+/**
+ * A smart pointer for managing the lifecycle of a Tensor.
+ *
+ * TensorPtr uses a unique pointer to ensure each Tensor object has distinct
+ * ownership. This abstraction simplifies memory management and serves as a
+ * safer alternative to the standard Tensor, which does not manage its metadata
+ * by design. It ensures that the underlying TensorImpl can be safely shared
+ * among tensors as needed.
+ */
+using TensorPtr =
+    std::unique_ptr<exec_aten::Tensor, internal::TensorPtrDeleter>;
+#else
+/**
+ * A smart pointer type for managing the lifecycle of a Tensor.
+ *
+ * When using ATen, this is a standard unique_ptr for exec_aten::Tensor.
+ * In ATen, the Tensor class owns its TensorImpl and associated metadata,
+ * so no custom deleter is required.
+ */
+using TensorPtr = std::unique_ptr<exec_aten::Tensor>;
+#endif // USE_ATEN_LIB
+
+/**
+ * Creates a TensorPtr to manage a newly created Tensor with the given
+ * TensorImplPtr.
+ *
+ * This function wraps the provided TensorImplPtr in a TensorPtr, ensuring the
+ * Tensor object’s lifecycle is managed correctly. The TensorPtr uniquely owns
+ * the Tensor object, while the underlying TensorImplPtr can be shared with
+ * other Tensors.
+ *
+ * @param tensor_impl A TensorImplPtr to the TensorImpl to be managed.
+ * @return A TensorPtr that manages the newly created Tensor.
+ */
+inline TensorPtr make_tensor_ptr(TensorImplPtr tensor_impl) {
+#ifndef USE_ATEN_LIB
+  auto tensor = std::make_unique<exec_aten::Tensor>(tensor_impl.get());
+  return TensorPtr(
+      tensor.release(), internal::TensorPtrDeleter{std::move(tensor_impl)});
+#else
+  return std::make_unique<exec_aten::Tensor>(std::move(tensor_impl));
+#endif // USE_ATEN_LIB
+}
+
+/**
+ * Creates a TensorPtr that shares the same TensorImplPtr as an existing
+ * TensorPtr.
+ *
+ * This function returns a TensorPtr that shares the underlying TensorImpl
+ * with the provided TensorPtr, ensuring that the underlying data and metadata
+ * are shared safely without duplication between the tensor objects.
+ *
+ * @param tensor A TensorPtr to the existing Tensor from which to create a copy.
+ * @return A new TensorPtr that shares the underlying TensorImplPtr with the
+ * original.
+ */
+inline TensorPtr make_tensor_ptr(const TensorPtr& tensor) {
+#ifndef USE_ATEN_LIB
+  return make_tensor_ptr(tensor.get_deleter().tensor_impl);
+#else
+  return make_tensor_ptr(tensor->getIntrusivePtr());
+#endif // USE_ATEN_LIB
+}
+
+/**
+ * Creates a TensorPtr to manage a new Tensor with the same properties
+ * as the given Tensor, sharing the same data without owning it.
+ *
+ * @param tensor The Tensor whose properties are used to create a new TensorPtr.
+ * @return A new TensorPtr managing a Tensor with the same properties as the
+ * original.
+ */
+inline TensorPtr make_tensor_ptr(const exec_aten::Tensor& tensor) {
+  return make_tensor_ptr(make_tensor_impl_ptr(
+      std::vector<exec_aten::SizesType>(
+          tensor.sizes().begin(), tensor.sizes().end()),
+      tensor.mutable_data_ptr(),
+#ifndef USE_ATEN_LIB
+      std::vector<exec_aten::DimOrderType>(
+          tensor.dim_order().begin(), tensor.dim_order().end()),
+      std::vector<exec_aten::StridesType>(
+          tensor.strides().begin(), tensor.strides().end()),
+      tensor.scalar_type(),
+      tensor.shape_dynamism()
+#else // USE_ATEN_LIB
+      {},
+      std::vector<exec_aten::StridesType>(
+          tensor.strides().begin(), tensor.strides().end()),
+      tensor.scalar_type()
+#endif // USE_ATEN_LIB
+          ));
+}
+
+/**
+ * Creates a TensorPtr that manages a Tensor with the specified properties.
+ *
+ * @param sizes A vector specifying the size of each dimension.
+ * @param data A pointer to the data buffer.
+ * @param dim_order A vector specifying the order of dimensions.
+ * @param strides A vector specifying the strides of the tensor.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies the mutability of the tensor's shape.
+ * @param deleter A custom deleter function for managing the lifetime of the
+ * data buffer. If provided, this deleter will be called when the managed Tensor
+ * object is destroyed.
+ * @return A TensorPtr that manages the newly created Tensor.
+ */
+inline TensorPtr make_tensor_ptr(
+    std::vector<exec_aten::SizesType> sizes,
+    void* data,
+    std::vector<exec_aten::DimOrderType> dim_order,
+    std::vector<exec_aten::StridesType> strides,
+    const exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    const exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND,
+    std::function<void(void*)> deleter = nullptr) {
+  return make_tensor_ptr(make_tensor_impl_ptr(
+      std::move(sizes),
+      data,
+      std::move(dim_order),
+      std::move(strides),
+      type,
+      dynamism,
+      std::move(deleter)));
+}
+
+/**
+ * Creates a TensorPtr that manages a Tensor with the specified properties.
+ *
+ * @param sizes A vector specifying the size of each dimension.
+ * @param data A pointer to the data buffer.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies the mutability of the tensor's shape.
+ * @param deleter A custom deleter function for managing the lifetime of the
+ * data buffer. If provided, this deleter will be called when the managed Tensor
+ * object is destroyed.
+ * @return A TensorPtr that manages the newly created Tensor.
+ */
+inline TensorPtr make_tensor_ptr(
+    std::vector<exec_aten::SizesType> sizes,
+    void* data,
+    const exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    const exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND,
+    std::function<void(void*)> deleter = nullptr) {
+  return make_tensor_ptr(make_tensor_impl_ptr(
+      std::move(sizes), data, {}, {}, type, dynamism, std::move(deleter)));
+}
+
+/**
+ * Creates a TensorPtr that manages a Tensor with the specified properties.
+ *
+ * This template overload is specialized for cases where the tensor data is
+ * provided as a vector. The scalar type is automatically deduced from the
+ * vector's data type. If the specified `type` differs from the deduced type of
+ * the vector's elements, and casting is allowed, the data will be cast to the
+ * specified `type`. This allows for flexible creation of tensors with data
+ * vectors of one type and a different scalar type.
+ *
+ * @tparam T The C++ type of the tensor elements, deduced from the vector.
+ * @param sizes A vector specifying the size of each dimension.
+ * @param data A vector containing the tensor's data.
+ * @param dim_order A vector specifying the order of dimensions.
+ * @param strides A vector specifying the strides of each dimension.
+ * @param type The scalar type of the tensor elements. If it differs from the
+ * deduced type, the data will be cast to this type if allowed.
+ * @param dynamism Specifies the mutability of the tensor's shape.
+ * @return A TensorPtr that manages the newly created TensorImpl.
+ */
+template <
+    typename T = float,
+    exec_aten::ScalarType deduced_type = runtime::CppTypeToScalarType<T>::value>
+inline TensorPtr make_tensor_ptr(
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<T> data,
+    std::vector<exec_aten::DimOrderType> dim_order = {},
+    std::vector<exec_aten::StridesType> strides = {},
+    exec_aten::ScalarType type = deduced_type,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return make_tensor_ptr(make_tensor_impl_ptr(
+      std::move(sizes),
+      std::move(data),
+      std::move(dim_order),
+      std::move(strides),
+      type,
+      dynamism));
+}
+
+/**
+ * Creates a TensorPtr that manages a Tensor with the specified properties.
+ *
+ * This template overload is specialized for cases where the tensor data is
+ * provided as a vector. The scalar type is automatically deduced from the
+ * vector's data type. If the specified `type` differs from the deduced type of
+ * the vector's elements, and casting is allowed, the data will be cast to the
+ * specified `type`. This allows for flexible creation of tensors with data
+ * vectors of one type and a different scalar type.
+ *
+ * @tparam T The C++ type of the tensor elements, deduced from the vector.
+ * @param data A vector containing the tensor's data.
+ * @param type The scalar type of the tensor elements. If it differs from the
+ * deduced type, the data will be cast to this type if allowed.
+ * @param dynamism Specifies the mutability of the tensor's shape.
+ * @return A TensorPtr that manages the newly created TensorImpl.
+ */
+template <
+    typename T = float,
+    exec_aten::ScalarType deduced_type = runtime::CppTypeToScalarType<T>::value>
+inline TensorPtr make_tensor_ptr(
+    std::vector<T> data,
+    exec_aten::ScalarType type = deduced_type,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return make_tensor_ptr(make_tensor_impl_ptr(std::move(data), type, dynamism));
+}
+
+/**
+ * Creates a TensorPtr that manages a Tensor with the specified properties.
+ *
+ * This template overload is specialized for cases where the tensor data is
+ * provided as an initializer list. The scalar type is automatically deduced
+ * from the initializer list's data type. If the specified `type` differs from
+ * the deduced type of the initializer list's elements, and casting is allowed,
+ * the data will be cast to the specified `type`. This allows for flexible
+ * creation of tensors with data vectors of one type and a different scalar
+ * type.
+ *
+ * @tparam T The C++ type of the tensor elements, deduced from the initializer
+ * list.
+ * @param sizes A vector specifying the size of each dimension.
+ * @param list An initializer list containing the tensor's data.
+ * @param dim_order A vector specifying the order of dimensions.
+ * @param strides A vector specifying the strides of each dimension.
+ * @param type The scalar type of the tensor elements. If it differs from the
+ * deduced type, the data will be cast to this type if allowed.
+ * @param dynamism Specifies the mutability of the tensor's shape.
+ * @return A TensorPtr that manages the newly created TensorImpl.
+ */
+template <
+    typename T = float,
+    exec_aten::ScalarType deduced_type = runtime::CppTypeToScalarType<T>::value>
+inline TensorPtr make_tensor_ptr(
+    std::vector<exec_aten::SizesType> sizes,
+    std::initializer_list<T> list,
+    std::vector<exec_aten::DimOrderType> dim_order = {},
+    std::vector<exec_aten::StridesType> strides = {},
+    exec_aten::ScalarType type = deduced_type,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return make_tensor_ptr(make_tensor_impl_ptr(
+      std::move(sizes),
+      std::move(list),
+      std::move(dim_order),
+      std::move(strides),
+      type,
+      dynamism));
+}
+
+/**
+ * Creates a TensorPtr that manages a Tensor with the specified properties.
+ *
+ * This template overload allows creating a Tensor from an initializer list
+ * of data. The scalar type is automatically deduced from the type of the
+ * initializer list's elements. If the specified `type` differs from
+ * the deduced type of the initializer list's elements, and casting is allowed,
+ * the data will be cast to the specified `type`. This allows for flexible
+ * creation of tensors with data vectors of one type and a different scalar
+ * type.
+ *
+ * @tparam T The C++ type of the tensor elements, deduced from the initializer
+ * list.
+ * @param list An initializer list containing the tensor's data.
+ * @param type The scalar type of the tensor elements. If it differs from the
+ * deduced type, the data will be cast to this type if allowed.
+ * @param dynamism Specifies the mutability of the tensor's shape.
+ * @return A TensorPtr that manages the newly created TensorImpl.
+ */
+template <
+    typename T = float,
+    exec_aten::ScalarType deduced_type = runtime::CppTypeToScalarType<T>::value>
+inline TensorPtr make_tensor_ptr(
+    std::initializer_list<T> list,
+    exec_aten::ScalarType type = deduced_type,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return make_tensor_ptr(make_tensor_impl_ptr(std::move(list), type, dynamism));
+}
+
+/**
+ * Creates a TensorPtr that manages a Tensor with a single scalar value.
+ *
+ * @tparam T The C++ type of the scalar value.
+ * @param value The scalar value to be used for the Tensor.
+ * @return A TensorPtr that manages the newly created TensorImpl.
+ */
+template <typename T>
+inline TensorPtr make_tensor_ptr(T value) {
+  return make_tensor_ptr(make_tensor_impl_ptr(value));
+}
+
+/**
+ * Creates a TensorPtr that manages a Tensor with the specified properties.
+ *
+ * This overload accepts a raw memory buffer stored in a std::vector<uint8_t>
+ * and a scalar type to interpret the data. The vector is managed, and the
+ * memory's lifetime is tied to the TensorImpl.
+ *
+ * @param sizes A vector specifying the size of each dimension.
+ * @param data A vector containing the raw memory for the tensor's data.
+ * @param dim_order A vector specifying the order of dimensions.
+ * @param strides A vector specifying the strides of each dimension.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies the mutability of the tensor's shape.
+ * @return A TensorPtr managing the newly created Tensor.
+ */
+inline TensorPtr make_tensor_ptr(
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<uint8_t> data,
+    std::vector<exec_aten::DimOrderType> dim_order,
+    std::vector<exec_aten::StridesType> strides,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return make_tensor_ptr(make_tensor_impl_ptr(
+      std::move(sizes),
+      std::move(data),
+      std::move(dim_order),
+      std::move(strides),
+      type,
+      dynamism));
+}
+
+/**
+ * Creates a TensorPtr that manages a Tensor with the specified properties.
+ *
+ * This overload accepts a raw memory buffer stored in a std::vector<uint8_t>
+ * and a scalar type to interpret the data. The vector is managed, and the
+ * memory's lifetime is tied to the TensorImpl.
+ *
+ * @param sizes A vector specifying the size of each dimension.
+ * @param data A vector containing the raw memory for the tensor's data.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies the mutability of the tensor's shape.
+ * @return A TensorPtr managing the newly created Tensor.
+ */
+inline TensorPtr make_tensor_ptr(
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<uint8_t> data,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return make_tensor_ptr(
+      make_tensor_impl_ptr(std::move(sizes), std::move(data), type, dynamism));
+}
+
+/**
+ * Creates a TensorPtr that manages a new Tensor with the same properties
+ * as the given Tensor, but with a copy of the data owned by the returned
+ * TensorPtr.
+ *
+ * @param tensor The Tensor to clone.
+ * @return A new TensorPtr that manages a Tensor with the same properties as the
+ * original but with copied data.
+ */
+inline TensorPtr clone_tensor_ptr(const exec_aten::Tensor& tensor) {
+  return make_tensor_ptr(make_tensor_impl_ptr(
+      std::vector<exec_aten::SizesType>(
+          tensor.sizes().begin(), tensor.sizes().end()),
+      std::vector<uint8_t>(
+          (uint8_t*)tensor.const_data_ptr(),
+          (uint8_t*)tensor.const_data_ptr() + tensor.nbytes()),
+#ifndef USE_ATEN_LIB
+      std::vector<exec_aten::DimOrderType>(
+          tensor.dim_order().begin(), tensor.dim_order().end()),
+      std::vector<exec_aten::StridesType>(
+          tensor.strides().begin(), tensor.strides().end()),
+      tensor.scalar_type(),
+      tensor.shape_dynamism()
+#else // USE_ATEN_LIB
+      {},
+      std::vector<exec_aten::StridesType>(
+          tensor.strides().begin(), tensor.strides().end()),
+      tensor.scalar_type()
+#endif // USE_ATEN_LIB
+          ));
+}
+
+/**
+ * Creates a new TensorPtr by cloning the given TensorPtr, copying the
+ * underlying data.
+ *
+ * @param tensor The TensorPtr to clone.
+ * @return A new TensorPtr that manages a Tensor with the same properties as the
+ * original but with copied data.
+ */
+inline TensorPtr clone_tensor_ptr(const TensorPtr& tensor) {
+  return clone_tensor_ptr(*tensor);
+}
+
+/**
+ * Resizes the Tensor managed by the provided TensorPtr to the new sizes.
+ *
+ * @param tensor A TensorPtr managing the Tensor to resize.
+ * @param sizes A vector representing the new sizes for each dimension.
+ * @return Error::Ok on success, or an appropriate error code on failure.
+ */
+ET_NODISCARD
+runtime::Error resize_tensor_ptr(
+    TensorPtr& tensor,
+    const std::vector<exec_aten::SizesType>& sizes);
+
+} // namespace extension
+} // namespace executorch
diff --git a/extension/tensor/tensor_ptr_maker.cpp b/extension/tensor/tensor_ptr_maker.cpp
new file mode 100644
index 0000000000..cbea6da1e7
--- /dev/null
+++ b/extension/tensor/tensor_ptr_maker.cpp
@@ -0,0 +1,177 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/extension/tensor/tensor_ptr_maker.h>
+
+#include <random>
+
+namespace executorch {
+namespace extension {
+namespace {
+
+template <
+    typename INT_T,
+    typename std::enable_if<
+        std::is_integral<INT_T>::value && !std::is_same<INT_T, bool>::value,
+        bool>::type = true>
+bool extract_scalar(exec_aten::Scalar scalar, INT_T* out_val) {
+  if (!scalar.isIntegral(/*includeBool=*/false)) {
+    return false;
+  }
+  int64_t val = scalar.to<int64_t>();
+  if (val < std::numeric_limits<INT_T>::lowest() ||
+      val > std::numeric_limits<INT_T>::max()) {
+    return false;
+  }
+  *out_val = static_cast<INT_T>(val);
+  return true;
+}
+
+template <
+    typename FLOAT_T,
+    typename std::enable_if<std::is_floating_point<FLOAT_T>::value, bool>::
+        type = true>
+bool extract_scalar(exec_aten::Scalar scalar, FLOAT_T* out_val) {
+  double val;
+  if (scalar.isFloatingPoint()) {
+    val = scalar.to<double>();
+    if (std::isfinite(val) &&
+        (val < std::numeric_limits<FLOAT_T>::lowest() ||
+         val > std::numeric_limits<FLOAT_T>::max())) {
+      return false;
+    }
+  } else if (scalar.isIntegral(/*includeBool=*/false)) {
+    val = static_cast<double>(scalar.to<int64_t>());
+  } else {
+    return false;
+  }
+  *out_val = static_cast<FLOAT_T>(val);
+  return true;
+}
+
+template <
+    typename BOOL_T,
+    typename std::enable_if<std::is_same<BOOL_T, bool>::value, bool>::type =
+        true>
+bool extract_scalar(exec_aten::Scalar scalar, BOOL_T* out_val) {
+  if (scalar.isIntegral(false)) {
+    *out_val = static_cast<bool>(scalar.to<int64_t>());
+    return true;
+  }
+  if (scalar.isBoolean()) {
+    *out_val = scalar.to<bool>();
+    return true;
+  }
+  return false;
+}
+
+#define ET_EXTRACT_SCALAR(scalar, out_val) \
+  ET_CHECK_MSG(                            \
+      extract_scalar(scalar, &out_val),    \
+      #scalar " could not be extracted: wrong type or out of range");
+
+template <typename Distribution>
+TensorPtr random_strided(
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<exec_aten::StridesType> strides,
+    exec_aten::ScalarType type,
+    exec_aten::TensorShapeDynamism dynamism,
+    Distribution&& distribution) {
+  auto tensor =
+      empty_strided(std::move(sizes), std::move(strides), type, dynamism);
+  std::default_random_engine gen{std::random_device{}()};
+
+  ET_SWITCH_REALB_TYPES(type, nullptr, "random_strided", CTYPE, [&] {
+    std::generate_n(tensor->mutable_data_ptr<CTYPE>(), tensor->numel(), [&]() {
+      return static_cast<CTYPE>(distribution(gen));
+    });
+  });
+  return tensor;
+}
+
+} // namespace
+
+TensorPtr empty_strided(
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<exec_aten::StridesType> strides,
+    exec_aten::ScalarType type,
+    exec_aten::TensorShapeDynamism dynamism) {
+  std::vector<uint8_t> data(
+      exec_aten::compute_numel(sizes.data(), sizes.size()) *
+      exec_aten::elementSize(type));
+  return make_tensor_ptr(
+      std::move(sizes),
+      std::move(data),
+      {},
+      std::move(strides),
+      type,
+      dynamism);
+}
+
+TensorPtr full_strided(
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<exec_aten::StridesType> strides,
+    exec_aten::Scalar fill_value,
+    exec_aten::ScalarType type,
+    exec_aten::TensorShapeDynamism dynamism) {
+  auto tensor =
+      empty_strided(std::move(sizes), std::move(strides), type, dynamism);
+  ET_SWITCH_REALB_TYPES(type, nullptr, "full_strided", CTYPE, [&] {
+    CTYPE value;
+    ET_EXTRACT_SCALAR(fill_value, value);
+    std::fill(
+        tensor->mutable_data_ptr<CTYPE>(),
+        tensor->mutable_data_ptr<CTYPE>() + tensor->numel(),
+        value);
+  });
+  return tensor;
+}
+
+TensorPtr rand_strided(
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<exec_aten::StridesType> strides,
+    exec_aten::ScalarType type,
+    exec_aten::TensorShapeDynamism dynamism) {
+  return random_strided(
+      std::move(sizes),
+      std::move(strides),
+      type,
+      dynamism,
+      std::uniform_real_distribution<float>(0.0f, 1.0f));
+}
+
+TensorPtr randn_strided(
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<exec_aten::StridesType> strides,
+    exec_aten::ScalarType type,
+    exec_aten::TensorShapeDynamism dynamism) {
+  return random_strided(
+      std::move(sizes),
+      std::move(strides),
+      type,
+      dynamism,
+      std::normal_distribution<float>(0.0f, 1.0f));
+}
+
+TensorPtr randint_strided(
+    int64_t low,
+    int64_t high,
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<exec_aten::StridesType> strides,
+    exec_aten::ScalarType type,
+    exec_aten::TensorShapeDynamism dynamism) {
+  return random_strided(
+      std::move(sizes),
+      std::move(strides),
+      type,
+      dynamism,
+      std::uniform_int_distribution<int64_t>(low, high - 1));
+}
+
+} // namespace extension
+} // namespace executorch
diff --git a/extension/tensor/tensor_ptr_maker.h b/extension/tensor/tensor_ptr_maker.h
new file mode 100644
index 0000000000..3f2d267a4e
--- /dev/null
+++ b/extension/tensor/tensor_ptr_maker.h
@@ -0,0 +1,688 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <executorch/extension/tensor/tensor_ptr.h>
+
+namespace executorch {
+namespace extension {
+
+/**
+ * A helper class for creating TensorPtr instances from raw data and tensor
+ * properties. Note that the TensorPtr created by this class does not own the
+ * data, so the data must outlive the TensorPtr.
+ *
+ * TensorPtrMaker provides a fluent interface for specifying various tensor
+ * properties, such as type, sizes, data pointer, dimension order, strides, and
+ * shape dynamism. The final tensor is created by invoking make_tensor_ptr() or
+ * by converting TensorPtrMaker to TensorPtr.
+ */
+class TensorPtrMaker final {
+ public:
+  // This class may have non-copyable members in the future.
+  TensorPtrMaker(const TensorPtrMaker&) = delete;
+  TensorPtrMaker& operator=(const TensorPtrMaker&) = delete;
+  // But it is movable.
+  TensorPtrMaker(TensorPtrMaker&&) = default;
+  TensorPtrMaker& operator=(TensorPtrMaker&&) = default;
+
+  /**
+   * Sets the scalar type of the tensor elements.
+   *
+   * @param type The scalar type (e.g., float, int, bool).
+   * @return Rvalue to this TensorPtrMaker for method chaining.
+   */
+  TensorPtrMaker&& type(exec_aten::ScalarType type) {
+    type_ = type;
+    return std::move(*this);
+  }
+
+  /**
+   * Sets the order of dimensions in memory.
+   *
+   * @param dim_order A vector specifying the dimension order.
+   * @return Rvalue to this TensorPtrMaker for method chaining.
+   */
+  TensorPtrMaker&& dim_order(std::vector<exec_aten::DimOrderType> dim_order) {
+    dim_order_ = std::move(dim_order);
+    return std::move(*this);
+  }
+
+  /**
+   * Sets the strides for each dimension of the tensor.
+   *
+   * @param strides A vector specifying the stride for each dimension.
+   * @return Rvalue to this TensorPtrMaker for method chaining.
+   */
+  TensorPtrMaker&& strides(std::vector<exec_aten::StridesType> strides) {
+    strides_ = std::move(strides);
+    return std::move(*this);
+  }
+
+  /**
+   * Sets the shape dynamism of the tensor.
+   *
+   * @param dynamism Specifies whether the tensor's shape is static, dynamic, or
+   * bounded.
+   * @return Rvalue to this TensorPtrMaker for method chaining.
+   */
+  TensorPtrMaker&& dynamism(exec_aten::TensorShapeDynamism dynamism) {
+    dynamism_ = dynamism;
+    return std::move(*this);
+  }
+
+  /**
+   * Sets a custom deleter function to manage the lifetime of the data buffer.
+   *
+   * @param deleter A function that will be called to delete the data buffer
+   * when the Tensor object managed by the TensorPtr is destroyed. Explicitly
+   * consuming an rvalue to avoid unnecessary copies when the deleter is a
+   * lambda that has captured some state.
+   * @return Rvalue to this TensorPtrMaker for method chaining.
+   */
+  TensorPtrMaker&& deleter(std::function<void(void*)>&& deleter) {
+    deleter_ = std::move(deleter);
+    return std::move(*this);
+  }
+
+  /**
+   * Creates and returns a TensorPtr instance using the properties set in this
+   * TensorPtrMaker.
+   *
+   * @return A TensorPtr instance that manages the newly created Tensor.
+   */
+  TensorPtr make_tensor_ptr() && {
+    return ::executorch::extension::make_tensor_ptr(
+        std::move(sizes_),
+        data_,
+        std::move(dim_order_),
+        std::move(strides_),
+        type_,
+        dynamism_,
+        std::move(deleter_));
+  }
+
+  /**
+   * Implicit conversion operator to create a TensorPtr.
+   *
+   * @return A TensorPtr instance that manages the newly created Tensor.
+   */
+  operator TensorPtr() && {
+    return std::move(*this).make_tensor_ptr();
+  }
+
+ private:
+  TensorPtrMaker(
+      void* data,
+      std::vector<exec_aten::SizesType> sizes,
+      exec_aten::ScalarType type)
+      : sizes_(std::move(sizes)), data_(data), type_(type) {}
+
+ private:
+  // The following properties are required to create a Tensor.
+  friend TensorPtrMaker for_blob(
+      void* data,
+      std::vector<exec_aten::SizesType> sizes,
+      exec_aten::ScalarType type);
+
+ private:
+  std::vector<exec_aten::SizesType> sizes_;
+  std::vector<exec_aten::StridesType> strides_;
+  std::vector<exec_aten::DimOrderType> dim_order_;
+  std::function<void(void*)> deleter_ = nullptr;
+  void* data_ = nullptr;
+  exec_aten::ScalarType type_ = exec_aten::ScalarType::Float;
+  exec_aten::TensorShapeDynamism dynamism_ =
+      exec_aten::TensorShapeDynamism::DYNAMIC_BOUND;
+};
+
+/**
+ * Creates a TensorPtrMaker instance for building a TensorPtr from a raw data
+ * pointer and tensor sizes.
+ *
+ * The TensorPtrMaker returned by this function allows for further customization
+ * of the tensor's properties, such as data type, dimension order, strides, and
+ * shape dynamism, before finalizing the TensorPtr creation.
+ *
+ * @param data A pointer to the raw data to be used by the tensor. It must
+ * outlive the TensorPtr created by this function.
+ * @param sizes A vector specifying the size of each dimension.
+ * @param type The scalar type of the tensor elements.
+ * @return A TensorPtrMaker instance for creating a TensorPtr.
+ */
+inline TensorPtrMaker for_blob(
+    void* data,
+    std::vector<exec_aten::SizesType> sizes,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float) {
+  return TensorPtrMaker(data, std::move(sizes), type);
+}
+
+/**
+ * Creates a TensorPtr from a raw data pointer and tensor sizes, with an
+ * optional dynamism setting.
+ *
+ * This function provides a convenient way to create a tensor from existing
+ * data, with the option to specify whether the tensor's shape is static or
+ * dynamic.
+ *
+ * @param data A pointer to the raw data used by the tensor. The data must
+ * outlive the TensorPtr created by this function.
+ * @param sizes A vector specifying the size of each dimension.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+inline TensorPtr from_blob(
+    void* data,
+    std::vector<exec_aten::SizesType> sizes,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return for_blob(data, std::move(sizes), type)
+      .dynamism(dynamism)
+      .make_tensor_ptr();
+}
+
+/**
+ * Creates a TensorPtr from a raw data pointer, tensor sizes, and strides, with
+ * an optional dynamism setting.
+ *
+ * This function allows for the creation of a tensor from existing data, with
+ * the option to specify custom strides for each dimension and whether the
+ * tensor’s shape is static, dynamic, or bounded.
+ *
+ * @param data A pointer to the raw data used by the tensor. The data must
+ * outlive the TensorPtr created by this function.
+ * @param sizes A vector specifying the size of each dimension.
+ * @param strides A vector specifying the stride for each dimension.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies whether the tensor's shape is static, dynamic, or
+ * bounded.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+inline TensorPtr from_blob(
+    void* data,
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<exec_aten::StridesType> strides,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return for_blob(data, std::move(sizes), type)
+      .strides(std::move(strides))
+      .dynamism(dynamism)
+      .make_tensor_ptr();
+}
+
+/**
+ * Creates a TensorPtr from a raw data pointer and tensor sizes, with an
+ * optional dynamism setting.
+ *
+ * This function is a convenient way to create a tensor from existing data, with
+ * the option to specify whether the tensor's shape is static, dynamic, or
+ * bounded.
+ *
+ * @param data A pointer to the raw data to be used by the tensor. It must
+ * outlive the TensorPtr created by this function.
+ * @param sizes A vector specifying the size of each dimension.
+ * @param type The scalar type of the tensor elements.
+ * @param deleter A function to delete the data when it's no longer needed.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance that manages the newly created Tensor.
+ */
+inline TensorPtr from_blob(
+    void* data,
+    std::vector<exec_aten::SizesType> sizes,
+    exec_aten::ScalarType type,
+    std::function<void(void*)>&& deleter,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return for_blob(data, std::move(sizes), type)
+      .deleter(std::move(deleter))
+      .dynamism(dynamism)
+      .make_tensor_ptr();
+}
+
+/**
+ * Creates a TensorPtr from a raw data pointer, tensor sizes, and strides, with
+ * an optional dynamism setting.
+ *
+ * This function allows for the creation of a tensor from existing data, with
+ * the option to specify custom strides for each dimension and whether the
+ * tensor's shape is static, dynamic, or bounded.
+ *
+ * @param data A pointer to the raw data to be used by the tensor. It must
+ * outlive the TensorPtr created by this function.
+ * @param sizes A vector specifying the size of each dimension.
+ * @param strides A vector specifying the stride for each dimension.
+ * @param type The scalar type of the tensor elements.
+ * @param deleter A function to delete the data when it's no longer needed.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance that manages the newly created Tensor.
+ */
+inline TensorPtr from_blob(
+    void* data,
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<exec_aten::StridesType> strides,
+    exec_aten::ScalarType type,
+    std::function<void(void*)>&& deleter,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return for_blob(data, std::move(sizes), type)
+      .strides(std::move(strides))
+      .deleter(std::move(deleter))
+      .dynamism(dynamism)
+      .make_tensor_ptr();
+}
+
+/**
+ * Creates a TensorPtr with the specified sizes, strides, and properties.
+ *
+ * This function allocates memory for the tensor elements but does not
+ * initialize them with any specific values. The tensor is created with the
+ * specified strides.
+ *
+ * @param sizes A vector specifying the size of each dimension.
+ * @param strides A vector specifying the stride for each dimension.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+TensorPtr empty_strided(
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<exec_aten::StridesType> strides,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND);
+
+/**
+ * Creates an empty TensorPtr with the same size and properties as the given
+ * tensor.
+ *
+ * This function allocates memory for the tensor elements but does not
+ * initialize them with any specific values.
+ *
+ * @param other A reference to another tensor, whose size and properties are
+ * used.
+ * @param type The scalar type of the tensor elements. If not provided, the
+ * scalar type of the other tensor is used.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+inline TensorPtr empty_like(
+    const TensorPtr& other,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Undefined,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  if (type == exec_aten::ScalarType::Undefined) {
+    type = other->scalar_type();
+  }
+  return empty_strided(
+      {other->sizes().begin(), other->sizes().end()},
+      {other->strides().begin(), other->strides().end()},
+      type,
+      dynamism);
+}
+
+/**
+ * Creates an empty TensorPtr with the specified sizes and properties.
+ *
+ * This function allocates memory for the tensor elements but does not
+ * initialize them with any specific values.
+ *
+ * @param sizes A vector specifying the size of each dimension.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+inline TensorPtr empty(
+    std::vector<exec_aten::SizesType> sizes,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return empty_strided(std::move(sizes), {}, type, dynamism);
+}
+
+/**
+ * Creates a TensorPtr filled with the specified value.
+ *
+ * @param sizes A vector specifying the size of each dimension.
+ * @param strides A vector specifying the stride for each dimension.
+ * @param fill_value The value to fill the tensor with.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+TensorPtr full_strided(
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<exec_aten::StridesType> strides,
+    exec_aten::Scalar fill_value,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND);
+
+/**
+ * Creates a TensorPtr filled with the specified value, with the same size and
+ * properties as another tensor.
+ *
+ * @param other A reference to another tensor, whose size and properties will be
+ * used.
+ * @param fill_value The value to fill the tensor with.
+ * @param type The scalar type of the tensor elements. If not specified, the
+ * scalar type of the other tensor is used.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+inline TensorPtr full_like(
+    const TensorPtr& other,
+    exec_aten::Scalar fill_value,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Undefined,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  if (type == exec_aten::ScalarType::Undefined) {
+    type = other->scalar_type();
+  }
+  return full_strided(
+      {other->sizes().begin(), other->sizes().end()},
+      {other->strides().begin(), other->strides().end()},
+      fill_value,
+      type,
+      dynamism);
+}
+
+/**
+ * Creates a TensorPtr filled with the specified value.
+ *
+ * @param sizes A vector specifying the size of each dimension.
+ * @param fill_value The value used to fill the tensor.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+inline TensorPtr full(
+    std::vector<exec_aten::SizesType> sizes,
+    exec_aten::Scalar fill_value,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return full_strided(std::move(sizes), {}, fill_value, type, dynamism);
+}
+
+/**
+ * Creates a TensorPtr holding a scalar value.
+ *
+ * @param value The scalar value for the tensor.
+ * @param type The scalar type of the tensor elements.
+ * @return A TensorPtr instance managing the newly created scalar Tensor.
+ */
+inline TensorPtr scalar_tensor(
+    exec_aten::Scalar value,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float) {
+  return full({}, value, type);
+}
+
+/**
+ * Creates a TensorPtr filled with ones, with the same size and properties as
+ * another tensor.
+ *
+ * @param other A reference to another tensor, whose size and properties are
+ * used.
+ * @param type The scalar type of the tensor elements. If not provided, the
+ * scalar type of the other tensor is used.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+inline TensorPtr ones_like(
+    const TensorPtr& other,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Undefined,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return full_like(other, 1, type, dynamism);
+}
+
+/**
+ * Creates a TensorPtr filled with ones.
+ *
+ * @param sizes A vector specifying the size of each dimension.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+inline TensorPtr ones(
+    std::vector<exec_aten::SizesType> sizes,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return full(std::move(sizes), 1, type, dynamism);
+}
+
+/**
+ * Creates a TensorPtr filled with zeros, with the same size and properties as
+ * another tensor.
+ *
+ * @param other A reference to another tensor, whose size and properties will be
+ * used.
+ * @param type The scalar type of the tensor elements. If not specified, the
+ * scalar type of the `other` tensor is used.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+inline TensorPtr zeros_like(
+    const TensorPtr& other,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Undefined,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return full_like(other, 0, type, dynamism);
+}
+
+/**
+ * Creates a TensorPtr filled with zeros.
+ *
+ * @param sizes A vector specifying the size of each dimension.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+inline TensorPtr zeros(
+    std::vector<exec_aten::SizesType> sizes,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return full(std::move(sizes), 0, type, dynamism);
+}
+
+/**
+ * Creates a TensorPtr filled with random values between 0 and 1.
+ *
+ * @param sizes A vector specifying the size of each dimension.
+ * @param strides A vector specifying the stride for each dimension.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ **/
+TensorPtr rand_strided(
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<exec_aten::StridesType> strides,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND);
+
+/**
+ * Creates a TensorPtr filled with random values between 0 and 1.
+ *
+ * @param other A reference to another tensor, whose size and properties will be
+ * used.
+ * @param type The scalar type of the tensor elements. If not specified, the
+ * scalar type of the other tensor is used.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+inline TensorPtr rand_like(
+    const TensorPtr& other,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Undefined,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  if (type == exec_aten::ScalarType::Undefined) {
+    type = other->scalar_type();
+  }
+  return rand_strided(
+      {other->sizes().begin(), other->sizes().end()},
+      {other->strides().begin(), other->strides().end()},
+      type,
+      dynamism);
+}
+
+/**
+ * Creates a TensorPtr filled with random values between 0 and 1.
+ *
+ * @param sizes A vector specifying the size of each dimension.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+inline TensorPtr rand(
+    std::vector<exec_aten::SizesType> sizes,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return rand_strided(std::move(sizes), {}, type, dynamism);
+}
+
+/**
+ * Creates a TensorPtr filled with random values between 0 and 1, with specified
+ * strides.
+ *
+ * @param sizes A vector specifying the size of each dimension.
+ * @param strides A vector specifying the stride for each dimension.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+TensorPtr randn_strided(
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<exec_aten::StridesType> strides,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND);
+
+/**
+ * Creates a TensorPtr filled with random values from a normal distribution.
+ *
+ * @param other A reference to another tensor, whose size and properties will be
+ * used.
+ * @param type The scalar type of the tensor elements. If not specified, the
+ * scalar type of the other tensor is used.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+inline TensorPtr randn_like(
+    const TensorPtr& other,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Undefined,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  if (type == exec_aten::ScalarType::Undefined) {
+    type = other->scalar_type();
+  }
+  return randn_strided(
+      {other->sizes().begin(), other->sizes().end()},
+      {other->strides().begin(), other->strides().end()},
+      type,
+      dynamism);
+}
+
+/**
+ * Creates a TensorPtr filled with random values sampled from a normal
+ * distribution.
+ *
+ * @param sizes A vector specifying the size of each dimension.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+inline TensorPtr randn(
+    std::vector<exec_aten::SizesType> sizes,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Float,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return randn_strided(std::move(sizes), {}, type, dynamism);
+}
+
+/**
+ * Creates a TensorPtr filled with random integer values in the given range.
+ *
+ * @param low The lower bound (inclusive) of the random values.
+ * @param high The upper bound (exclusive) of the random values.
+ * @param sizes A vector specifying the size of each dimension.
+ * @param strides A vector specifying the stride for each dimension.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+TensorPtr randint_strided(
+    int64_t low,
+    int64_t high,
+    std::vector<exec_aten::SizesType> sizes,
+    std::vector<exec_aten::StridesType> strides,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Int,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND);
+
+/**
+ * Creates a TensorPtr filled with random integer values in the given range.
+ *
+ * @param other A reference to another tensor, whose size and properties will be
+ * used.
+ * @param low The lower bound (inclusive) of the random values.
+ * @param high The upper bound (exclusive) of the random values.
+ * @param type The scalar type of the tensor elements. If not specified, the
+ * scalar type of the other tensor is used.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+inline TensorPtr randint_like(
+    const TensorPtr& other,
+    int64_t low,
+    int64_t high,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Undefined,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  if (type == exec_aten::ScalarType::Undefined) {
+    type = other->scalar_type();
+  }
+  return randint_strided(
+      low,
+      high,
+      {other->sizes().begin(), other->sizes().end()},
+      {other->strides().begin(), other->strides().end()},
+      type,
+      dynamism);
+}
+
+/**
+ * Creates a TensorPtr filled with random integer values within the specified
+ * range.
+ *
+ * @param low The inclusive lower bound of the random values.
+ * @param high The exclusive upper bound of the random values.
+ * @param sizes A vector specifying the size of each dimension.
+ * @param type The scalar type of the tensor elements.
+ * @param dynamism Specifies whether the tensor's shape is static or dynamic.
+ * @return A TensorPtr instance managing the newly created Tensor.
+ */
+inline TensorPtr randint(
+    int64_t low,
+    int64_t high,
+    std::vector<exec_aten::SizesType> sizes,
+    exec_aten::ScalarType type = exec_aten::ScalarType::Int,
+    exec_aten::TensorShapeDynamism dynamism =
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND) {
+  return randint_strided(low, high, std::move(sizes), {}, type, dynamism);
+}
+
+} // namespace extension
+} // namespace executorch
diff --git a/extension/tensor/test/CMakeLists.txt b/extension/tensor/test/CMakeLists.txt
new file mode 100644
index 0000000000..132a40c31b
--- /dev/null
+++ b/extension/tensor/test/CMakeLists.txt
@@ -0,0 +1,32 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# @generated by test/utils/generate_gtest_cmakelists.py
+#
+# This file should be formatted with
+# ~~~
+# cmake-format -i CMakeLists.txt
+# ~~~
+# It should also be cmake-lint clean.
+#
+
+cmake_minimum_required(VERSION 3.19)
+project(extension_tensor_test)
+
+# Use C++17 for test.
+set(CMAKE_CXX_STANDARD 17)
+
+set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../../..)
+
+include(${EXECUTORCH_ROOT}/build/Test.cmake)
+
+set(_test_srcs tensor_impl_ptr_test.cpp tensor_ptr_maker_test.cpp
+               tensor_ptr_test.cpp
+)
+
+et_cxx_test(
+  extension_tensor_test SOURCES ${_test_srcs} EXTRA_LIBS extension_tensor
+)
diff --git a/extension/tensor/test/TARGETS b/extension/tensor/test/TARGETS
new file mode 100644
index 0000000000..2341af9282
--- /dev/null
+++ b/extension/tensor/test/TARGETS
@@ -0,0 +1,8 @@
+# Any targets that should be shared between fbcode and xplat must be defined in
+# targets.bzl. This file can contain fbcode-only targets.
+
+load(":targets.bzl", "define_common_targets")
+
+oncall("executorch")
+
+define_common_targets()
diff --git a/extension/tensor/test/targets.bzl b/extension/tensor/test/targets.bzl
new file mode 100644
index 0000000000..632cc3fb88
--- /dev/null
+++ b/extension/tensor/test/targets.bzl
@@ -0,0 +1,23 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+
+    for aten_mode in (True, False):
+        aten_suffix = ("_aten" if aten_mode else "")
+
+        runtime.cxx_test(
+            name = "test" + aten_suffix,
+            srcs = [
+                "tensor_impl_ptr_test.cpp",
+                "tensor_ptr_maker_test.cpp",
+                "tensor_ptr_test.cpp",
+            ],
+            deps = [
+                "//executorch/extension/tensor:tensor" + aten_suffix,
+            ],
+        )
diff --git a/extension/tensor/test/tensor_impl_ptr_test.cpp b/extension/tensor/test/tensor_impl_ptr_test.cpp
new file mode 100644
index 0000000000..d3d827a495
--- /dev/null
+++ b/extension/tensor/test/tensor_impl_ptr_test.cpp
@@ -0,0 +1,493 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/extension/tensor/tensor_impl_ptr.h>
+
+#include <gtest/gtest.h>
+
+#include <executorch/runtime/platform/runtime.h>
+#include <executorch/test/utils/DeathTest.h>
+
+using namespace executorch::extension;
+using namespace executorch::runtime;
+
+class TensorImplPtrTest : public ::testing::Test {
+ protected:
+  static void SetUpTestSuite() {
+    runtime_init();
+  }
+};
+
+TEST_F(TensorImplPtrTest, ScalarTensorCreation) {
+  float scalar_data = 3.14f;
+  auto tensor_impl = make_tensor_impl_ptr({}, &scalar_data);
+
+  EXPECT_EQ(tensor_impl->numel(), 1);
+  EXPECT_EQ(tensor_impl->dim(), 0);
+  EXPECT_EQ(tensor_impl->sizes().size(), 0);
+  EXPECT_EQ(tensor_impl->strides().size(), 0);
+  EXPECT_EQ((float*)tensor_impl->data(), &scalar_data);
+  EXPECT_EQ(((float*)tensor_impl->data())[0], 3.14f);
+}
+
+TEST_F(TensorImplPtrTest, ScalarTensorOwningData) {
+  auto tensor_impl = make_tensor_impl_ptr({}, {3.14f});
+
+  EXPECT_EQ(tensor_impl->numel(), 1);
+  EXPECT_EQ(tensor_impl->dim(), 0);
+  EXPECT_EQ(tensor_impl->sizes().size(), 0);
+  EXPECT_EQ(tensor_impl->strides().size(), 0);
+  EXPECT_EQ(((float*)tensor_impl->data())[0], 3.14f);
+}
+
+TEST_F(TensorImplPtrTest, TensorImplCreation) {
+  float data[20] = {2};
+  auto tensor_impl = make_tensor_impl_ptr({4, 5}, data, {0, 1}, {5, 1});
+
+  EXPECT_EQ(tensor_impl->dim(), 2);
+  EXPECT_EQ(tensor_impl->size(0), 4);
+  EXPECT_EQ(tensor_impl->size(1), 5);
+  EXPECT_EQ(tensor_impl->strides()[0], 5);
+  EXPECT_EQ(tensor_impl->strides()[1], 1);
+  EXPECT_EQ(tensor_impl->data(), data);
+  EXPECT_EQ(tensor_impl->data(), data);
+  EXPECT_EQ(((float*)tensor_impl->data())[0], 2);
+}
+
+TEST_F(TensorImplPtrTest, TensorImplSharedOwnership) {
+  float data[20] = {2};
+  auto tensor_impl1 = make_tensor_impl_ptr({4, 5}, data);
+  auto tensor_impl2 = tensor_impl1;
+
+  EXPECT_EQ(tensor_impl1.get(), tensor_impl2.get());
+  EXPECT_EQ(tensor_impl1.use_count(), tensor_impl2.use_count());
+
+  tensor_impl1.reset();
+  EXPECT_EQ(tensor_impl2.use_count(), 1);
+  EXPECT_NE(tensor_impl2.get(), nullptr);
+}
+
+TEST_F(TensorImplPtrTest, TensorImplInferredDimOrderAndStrides) {
+  float data[12] = {0};
+  auto tensor_impl = make_tensor_impl_ptr({3, 4}, data, {}, {4, 1});
+
+  EXPECT_EQ(tensor_impl->dim(), 2);
+  EXPECT_EQ(tensor_impl->size(0), 3);
+  EXPECT_EQ(tensor_impl->size(1), 4);
+  EXPECT_EQ(tensor_impl->strides()[0], 4);
+  EXPECT_EQ(tensor_impl->strides()[1], 1);
+  EXPECT_EQ(tensor_impl->data(), data);
+}
+
+TEST_F(TensorImplPtrTest, TensorImplInferredDimOrderCustomStrides) {
+  float data[12] = {0};
+  auto tensor_impl = make_tensor_impl_ptr({3, 4}, data, {}, {1, 3});
+
+  EXPECT_EQ(tensor_impl->dim(), 2);
+  EXPECT_EQ(tensor_impl->size(0), 3);
+  EXPECT_EQ(tensor_impl->size(1), 4);
+  EXPECT_EQ(tensor_impl->strides()[0], 1);
+  EXPECT_EQ(tensor_impl->strides()[1], 3);
+}
+
+TEST_F(TensorImplPtrTest, TensorImplDefaultDimOrderAndStrides) {
+  float data[24] = {0};
+  auto tensor_impl = make_tensor_impl_ptr({2, 3, 4}, data);
+
+  EXPECT_EQ(tensor_impl->dim(), 3);
+  EXPECT_EQ(tensor_impl->size(0), 2);
+  EXPECT_EQ(tensor_impl->size(1), 3);
+  EXPECT_EQ(tensor_impl->size(2), 4);
+  EXPECT_EQ(tensor_impl->strides()[0], 12);
+  EXPECT_EQ(tensor_impl->strides()[1], 4);
+  EXPECT_EQ(tensor_impl->strides()[2], 1);
+}
+
+TEST_F(TensorImplPtrTest, TensorImplMismatchStridesAndDimOrder) {
+  float data[12] = {0};
+  ET_EXPECT_DEATH(
+      { auto _ = make_tensor_impl_ptr({3, 4}, data, {1, 0}, {1, 4}); }, "");
+}
+
+TEST_F(TensorImplPtrTest, TensorImplCustomDimOrderAndStrides) {
+  float data[12] = {0};
+  auto tensor_impl = make_tensor_impl_ptr({3, 4}, data, {1, 0}, {1, 3});
+
+  EXPECT_EQ(tensor_impl->dim(), 2);
+  EXPECT_EQ(tensor_impl->size(0), 3);
+  EXPECT_EQ(tensor_impl->size(1), 4);
+  EXPECT_EQ(tensor_impl->strides()[0], 1);
+  EXPECT_EQ(tensor_impl->strides()[1], 3);
+}
+
+TEST_F(TensorImplPtrTest, TensorImplInvalidDimOrder) {
+  ET_EXPECT_DEATH(
+      {
+        float data[20] = {2};
+        auto _ = make_tensor_impl_ptr({4, 5}, data, {2, 1}, {1, 4});
+      },
+      "");
+}
+
+TEST_F(TensorImplPtrTest, TensorImplCustomDeleter) {
+  float data[20] = {4};
+  auto tensor_impl = make_tensor_impl_ptr({4, 5}, data);
+
+  TensorImplPtr copied_tensor_impl = tensor_impl;
+  EXPECT_EQ(tensor_impl.use_count(), copied_tensor_impl.use_count());
+
+  tensor_impl.reset();
+  EXPECT_EQ(copied_tensor_impl.use_count(), 1);
+}
+
+TEST_F(TensorImplPtrTest, TensorImplDataDeleterReleasesCapturedSharedPtr) {
+  auto deleter_called = false;
+  std::shared_ptr<float[]> data_ptr(
+      new float[10], [](float* ptr) { delete[] ptr; });
+  auto tensor_impl = make_tensor_impl_ptr(
+      {4, 5},
+      data_ptr.get(),
+      {},
+      {},
+      exec_aten::ScalarType::Float,
+      exec_aten::TensorShapeDynamism::DYNAMIC_BOUND,
+      [data_ptr, &deleter_called](void*) mutable { deleter_called = true; });
+
+  EXPECT_EQ(data_ptr.use_count(), 2);
+
+  tensor_impl.reset();
+  EXPECT_TRUE(deleter_called);
+  EXPECT_EQ(data_ptr.use_count(), 1);
+}
+
+TEST_F(TensorImplPtrTest, TensorImplOwningData) {
+  auto tensor_impl = make_tensor_impl_ptr(
+      {2, 5},
+      {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f},
+      {1, 0},
+      {1, 2});
+
+  EXPECT_EQ(tensor_impl->dim(), 2);
+  EXPECT_EQ(tensor_impl->size(0), 2);
+  EXPECT_EQ(tensor_impl->size(1), 5);
+  EXPECT_EQ(tensor_impl->strides()[0], 1);
+  EXPECT_EQ(tensor_impl->strides()[1], 2);
+  EXPECT_EQ(((float*)tensor_impl->data())[0], 1.0f);
+  EXPECT_EQ(((float*)tensor_impl->data())[9], 10.0f);
+}
+
+TEST_F(TensorImplPtrTest, TensorImplOwningEmptyData) {
+  auto tensor_impl = make_tensor_impl_ptr({0, 5}, std::vector<float>());
+
+  EXPECT_EQ(tensor_impl->dim(), 2);
+  EXPECT_EQ(tensor_impl->size(0), 0);
+  EXPECT_EQ(tensor_impl->size(1), 5);
+  EXPECT_EQ(tensor_impl->strides()[0], 5);
+  EXPECT_EQ(tensor_impl->strides()[1], 1);
+  EXPECT_EQ(tensor_impl->data(), nullptr);
+}
+
+TEST_F(TensorImplPtrTest, TensorImplDataOnlyDoubleType) {
+  std::vector<double> data = {1.0, 2.0, 3.0, 4.0};
+  auto tensor_impl = make_tensor_impl_ptr(std::move(data));
+
+  EXPECT_EQ(tensor_impl->dim(), 1);
+  EXPECT_EQ(tensor_impl->size(0), 4);
+  EXPECT_EQ(tensor_impl->strides()[0], 1);
+  EXPECT_EQ(((double*)tensor_impl->data())[0], 1.0);
+  EXPECT_EQ(((double*)tensor_impl->data())[3], 4.0);
+}
+
+TEST_F(TensorImplPtrTest, TensorImplDataOnlyInt32Type) {
+  std::vector<int32_t> data = {10, 20, 30, 40};
+  auto tensor_impl = make_tensor_impl_ptr(std::move(data));
+
+  EXPECT_EQ(tensor_impl->dim(), 1);
+  EXPECT_EQ(tensor_impl->size(0), 4);
+  EXPECT_EQ(tensor_impl->strides()[0], 1);
+  EXPECT_EQ(((int32_t*)tensor_impl->data())[0], 10);
+  EXPECT_EQ(((int32_t*)tensor_impl->data())[3], 40);
+}
+
+TEST_F(TensorImplPtrTest, TensorImplDataOnlyInt64Type) {
+  std::vector<int64_t> data = {100, 200, 300, 400};
+  auto tensor_impl = make_tensor_impl_ptr(std::move(data));
+
+  EXPECT_EQ(tensor_impl->dim(), 1);
+  EXPECT_EQ(tensor_impl->size(0), 4);
+  EXPECT_EQ(tensor_impl->strides()[0], 1);
+  EXPECT_EQ(((int64_t*)tensor_impl->data())[0], 100);
+  EXPECT_EQ(((int64_t*)tensor_impl->data())[3], 400);
+}
+
+TEST_F(TensorImplPtrTest, TensorImplDataOnlyUint8Type) {
+  std::vector<uint8_t> data = {10, 20, 30, 40};
+  auto tensor_impl = make_tensor_impl_ptr(std::move(data));
+
+  EXPECT_EQ(tensor_impl->dim(), 1);
+  EXPECT_EQ(tensor_impl->size(0), 4);
+  EXPECT_EQ(tensor_impl->strides()[0], 1);
+  EXPECT_EQ(((uint8_t*)tensor_impl->data())[0], 10);
+  EXPECT_EQ(((uint8_t*)tensor_impl->data())[3], 40);
+}
+
+TEST_F(TensorImplPtrTest, TensorImplAmbiguityWithMixedVectors) {
+  std::vector<exec_aten::SizesType> sizes = {2, 2};
+  std::vector<float> data = {1.0f, 2.0f, 3.0f, 4.0f};
+  auto tensor_impl = make_tensor_impl_ptr(std::move(sizes), std::move(data));
+
+  EXPECT_EQ(tensor_impl->dim(), 2);
+  EXPECT_EQ(tensor_impl->size(0), 2);
+  EXPECT_EQ(tensor_impl->size(1), 2);
+  EXPECT_EQ(tensor_impl->strides()[0], 2);
+  EXPECT_EQ(tensor_impl->strides()[1], 1);
+  EXPECT_EQ(((float*)tensor_impl->data())[0], 1.0f);
+  EXPECT_EQ(((float*)tensor_impl->data())[3], 4.0f);
+
+  auto tensor_impl2 = make_tensor_impl_ptr({2, 2}, {1.0f, 2.0f, 3.0f, 4.0f});
+
+  EXPECT_EQ(tensor_impl2->dim(), 2);
+  EXPECT_EQ(tensor_impl2->size(0), 2);
+  EXPECT_EQ(tensor_impl2->size(1), 2);
+  EXPECT_EQ(tensor_impl2->strides()[0], 2);
+  EXPECT_EQ(tensor_impl2->strides()[1], 1);
+  EXPECT_EQ(((float*)tensor_impl2->data())[0], 1.0f);
+  EXPECT_EQ(((float*)tensor_impl2->data())[3], 4.0f);
+}
+
+TEST_F(TensorImplPtrTest, SharedDataManagement) {
+  auto data = std::make_shared<std::vector<float>>(100, 1.0f);
+  auto tensor_impl1 = make_tensor_impl_ptr({10, 10}, data->data());
+  auto tensor_impl2 = tensor_impl1;
+
+  EXPECT_EQ(tensor_impl1.get(), tensor_impl2.get());
+  EXPECT_EQ(tensor_impl1.use_count(), 2);
+  EXPECT_EQ(((float*)tensor_impl1->data())[0], 1.0f);
+
+  ((float*)tensor_impl1->mutable_data())[0] = 2.0f;
+  EXPECT_EQ(((float*)tensor_impl2->data())[0], 2.0f);
+
+  tensor_impl1.reset();
+  EXPECT_NE(tensor_impl2.get(), nullptr);
+  EXPECT_EQ(tensor_impl2.use_count(), 1);
+
+  EXPECT_EQ(((float*)tensor_impl2->data())[0], 2.0f);
+}
+
+TEST_F(TensorImplPtrTest, CustomDeleterWithSharedData) {
+  auto data = std::make_shared<std::vector<float>>(100, 1.0f);
+  bool deleter_called = false;
+  {
+    auto tensor_impl = make_tensor_impl_ptr(
+        {10, 10},
+        data->data(),
+        {},
+        {},
+        exec_aten::ScalarType::Float,
+        exec_aten::TensorShapeDynamism::DYNAMIC_BOUND,
+        [data, &deleter_called](void*) mutable {
+          deleter_called = true;
+          data.reset();
+        });
+
+    EXPECT_EQ(data.use_count(), 2);
+    EXPECT_FALSE(deleter_called);
+  }
+  EXPECT_TRUE(deleter_called);
+  EXPECT_EQ(data.use_count(), 1);
+}
+
+TEST_F(TensorImplPtrTest, TensorImplDeducedScalarType) {
+  std::vector<double> data = {1.0, 2.0, 3.0, 4.0};
+  auto tensor_impl = make_tensor_impl_ptr({2, 2}, std::move(data));
+
+  EXPECT_EQ(tensor_impl->dim(), 2);
+  EXPECT_EQ(tensor_impl->size(0), 2);
+  EXPECT_EQ(tensor_impl->size(1), 2);
+  EXPECT_EQ(tensor_impl->strides()[0], 2);
+  EXPECT_EQ(tensor_impl->strides()[1], 1);
+  EXPECT_EQ(((double*)tensor_impl->data())[0], 1.0);
+  EXPECT_EQ(((double*)tensor_impl->data())[3], 4.0);
+}
+
+TEST_F(TensorImplPtrTest, TensorImplUint8BufferWithFloatScalarType) {
+  std::vector<uint8_t> data(
+      4 * exec_aten::elementSize(exec_aten::ScalarType::Float));
+
+  float* float_data = reinterpret_cast<float*>(data.data());
+  float_data[0] = 1.0f;
+  float_data[1] = 2.0f;
+  float_data[2] = 3.0f;
+  float_data[3] = 4.0f;
+
+  auto tensor_impl = make_tensor_impl_ptr({2, 2}, std::move(data));
+
+  EXPECT_EQ(tensor_impl->dim(), 2);
+  EXPECT_EQ(tensor_impl->size(0), 2);
+  EXPECT_EQ(tensor_impl->size(1), 2);
+  EXPECT_EQ(tensor_impl->strides()[0], 2);
+  EXPECT_EQ(tensor_impl->strides()[1], 1);
+
+  EXPECT_EQ(((float*)tensor_impl->data())[0], 1.0f);
+  EXPECT_EQ(((float*)tensor_impl->data())[1], 2.0f);
+  EXPECT_EQ(((float*)tensor_impl->data())[2], 3.0f);
+  EXPECT_EQ(((float*)tensor_impl->data())[3], 4.0f);
+}
+
+TEST_F(TensorImplPtrTest, TensorImplUint8BufferTooSmallExpectDeath) {
+  std::vector<uint8_t> data(
+      2 * exec_aten::elementSize(exec_aten::ScalarType::Float));
+  ET_EXPECT_DEATH(
+      { auto tensor_impl = make_tensor_impl_ptr({2, 2}, std::move(data)); },
+      "");
+}
+
+TEST_F(TensorImplPtrTest, TensorImplUint8BufferTooLarge) {
+  std::vector<uint8_t> data(
+      4 * exec_aten::elementSize(exec_aten::ScalarType::Float));
+  auto tensor_impl = make_tensor_impl_ptr({2, 2}, std::move(data));
+
+  EXPECT_EQ(tensor_impl->dim(), 2);
+  EXPECT_EQ(tensor_impl->size(0), 2);
+  EXPECT_EQ(tensor_impl->size(1), 2);
+  EXPECT_EQ(tensor_impl->strides()[0], 2);
+  EXPECT_EQ(tensor_impl->strides()[1], 1);
+}
+
+TEST_F(TensorImplPtrTest, StridesAndDimOrderMustMatchSizes) {
+  float data[12] = {0};
+  ET_EXPECT_DEATH(
+      { auto _ = make_tensor_impl_ptr({3, 4}, data, {}, {1}); }, "");
+  ET_EXPECT_DEATH(
+      { auto _ = make_tensor_impl_ptr({3, 4}, data, {0}, {4, 1}); }, "");
+}
+
+TEST_F(TensorImplPtrTest, TensorDataCastingFromIntToFloat) {
+  std::vector<int32_t> int_data = {1, 2, 3, 4, 5, 6};
+  auto tensor_impl = make_tensor_impl_ptr(
+      {2, 3}, std::move(int_data), {}, {}, exec_aten::ScalarType::Float);
+
+  EXPECT_EQ(tensor_impl->dim(), 2);
+  EXPECT_EQ(tensor_impl->size(0), 2);
+  EXPECT_EQ(tensor_impl->size(1), 3);
+  EXPECT_EQ(tensor_impl->dtype(), exec_aten::ScalarType::Float);
+
+  auto data_ptr = static_cast<const float*>(tensor_impl->data());
+  EXPECT_FLOAT_EQ(data_ptr[0], 1.0f);
+  EXPECT_FLOAT_EQ(data_ptr[5], 6.0f);
+}
+
+TEST_F(TensorImplPtrTest, TensorDataCastingFromIntToDouble) {
+  std::vector<int32_t> int_data = {1, 2, 3};
+  auto tensor_impl =
+      make_tensor_impl_ptr(std::move(int_data), exec_aten::ScalarType::Double);
+
+  EXPECT_EQ(tensor_impl->dim(), 1);
+  EXPECT_EQ(tensor_impl->size(0), 3);
+  EXPECT_EQ(tensor_impl->dtype(), exec_aten::ScalarType::Double);
+
+  auto data_ptr = static_cast<const double*>(tensor_impl->data());
+  EXPECT_DOUBLE_EQ(data_ptr[0], 1.0);
+  EXPECT_DOUBLE_EQ(data_ptr[1], 2.0);
+  EXPECT_DOUBLE_EQ(data_ptr[2], 3.0);
+}
+
+TEST_F(TensorImplPtrTest, TensorDataCastingInvalidCast) {
+  std::vector<float> float_data = {1.0f, 2.0f, 3.0f};
+  ET_EXPECT_DEATH(
+      {
+        auto _ = make_tensor_impl_ptr(
+            std::move(float_data), exec_aten::ScalarType::Int);
+      },
+      "");
+}
+
+TEST_F(TensorImplPtrTest, TensorDataCastingFromFloatToHalf) {
+  std::vector<float> float_data = {1.0f, 2.0f, 3.0f};
+  auto tensor_impl =
+      make_tensor_impl_ptr(std::move(float_data), exec_aten::ScalarType::Half);
+
+  EXPECT_EQ(tensor_impl->dim(), 1);
+  EXPECT_EQ(tensor_impl->size(0), 3);
+  EXPECT_EQ(tensor_impl->dtype(), exec_aten::ScalarType::Half);
+
+  auto data_ptr = static_cast<const exec_aten::Half*>(tensor_impl->data());
+  EXPECT_EQ(static_cast<float>(data_ptr[0]), 1.0f);
+  EXPECT_EQ(static_cast<float>(data_ptr[1]), 2.0f);
+  EXPECT_EQ(static_cast<float>(data_ptr[2]), 3.0f);
+}
+
+TEST_F(TensorImplPtrTest, TensorDataCastingFromDoubleToFloat) {
+  std::vector<double> double_data = {1.1, 2.2, 3.3};
+  auto tensor_impl = make_tensor_impl_ptr(
+      std::move(double_data), exec_aten::ScalarType::Float);
+
+  EXPECT_EQ(tensor_impl->dim(), 1);
+  EXPECT_EQ(tensor_impl->size(0), 3);
+  EXPECT_EQ(tensor_impl->dtype(), exec_aten::ScalarType::Float);
+
+  auto data_ptr = static_cast<const float*>(tensor_impl->data());
+  EXPECT_FLOAT_EQ(data_ptr[0], 1.1f);
+  EXPECT_FLOAT_EQ(data_ptr[1], 2.2f);
+  EXPECT_FLOAT_EQ(data_ptr[2], 3.3f);
+}
+
+TEST_F(TensorImplPtrTest, TensorDataCastingFromInt64ToInt32) {
+  std::vector<int64_t> int64_data = {10000000000, 20000000000, 30000000000};
+  auto tensor_impl =
+      make_tensor_impl_ptr(std::move(int64_data), exec_aten::ScalarType::Int);
+
+  EXPECT_EQ(tensor_impl->dim(), 1);
+  EXPECT_EQ(tensor_impl->size(0), 3);
+  EXPECT_EQ(tensor_impl->dtype(), exec_aten::ScalarType::Int);
+
+  auto data_ptr = static_cast<const int32_t*>(tensor_impl->data());
+  // Since the values exceed int32_t range, they may overflow
+  // Here we just check that the cast was performed
+  EXPECT_NE(data_ptr[0], 10000000000); // Expected overflow
+}
+
+TEST_F(TensorImplPtrTest, TensorDataCastingFromFloatToBFloat16) {
+  std::vector<float> float_data = {1.0f, 2.0f, 3.0f};
+  auto tensor_impl = make_tensor_impl_ptr(
+      std::move(float_data), exec_aten::ScalarType::BFloat16);
+
+  EXPECT_EQ(tensor_impl->dim(), 1);
+  EXPECT_EQ(tensor_impl->size(0), 3);
+  EXPECT_EQ(tensor_impl->dtype(), exec_aten::ScalarType::BFloat16);
+
+  auto data_ptr = static_cast<const exec_aten::BFloat16*>(tensor_impl->data());
+  EXPECT_EQ(static_cast<float>(data_ptr[0]), 1.0f);
+  EXPECT_EQ(static_cast<float>(data_ptr[1]), 2.0f);
+  EXPECT_EQ(static_cast<float>(data_ptr[2]), 3.0f);
+}
+
+TEST_F(TensorImplPtrTest, InitializerListDoubleToHalf) {
+  auto tensor_impl = make_tensor_impl_ptr<double>(
+      {1.5, 2.7, 3.14}, exec_aten::ScalarType::Half);
+  EXPECT_EQ(tensor_impl->dim(), 1);
+  EXPECT_EQ(tensor_impl->size(0), 3);
+  EXPECT_EQ(tensor_impl->dtype(), exec_aten::ScalarType::Half);
+  auto data_ptr = static_cast<const exec_aten::Half*>(tensor_impl->data());
+  EXPECT_NEAR(static_cast<float>(data_ptr[0]), 1.5f, 0.01);
+  EXPECT_NEAR(static_cast<float>(data_ptr[1]), 2.7f, 0.01);
+  EXPECT_NEAR(static_cast<float>(data_ptr[2]), 3.14f, 0.01);
+}
+
+TEST_F(TensorImplPtrTest, InitializerListInt8ToInt64) {
+  auto tensor_impl =
+      make_tensor_impl_ptr<int8_t>({1, -2, 3, -4}, exec_aten::ScalarType::Long);
+  EXPECT_EQ(tensor_impl->dim(), 1);
+  EXPECT_EQ(tensor_impl->size(0), 4);
+  EXPECT_EQ(tensor_impl->dtype(), exec_aten::ScalarType::Long);
+  auto data_ptr = static_cast<const int64_t*>(tensor_impl->data());
+  EXPECT_EQ(data_ptr[0], 1);
+  EXPECT_EQ(data_ptr[1], -2);
+  EXPECT_EQ(data_ptr[2], 3);
+  EXPECT_EQ(data_ptr[3], -4);
+}
diff --git a/extension/tensor/test/tensor_ptr_maker_test.cpp b/extension/tensor/test/tensor_ptr_maker_test.cpp
new file mode 100644
index 0000000000..4bfc56338e
--- /dev/null
+++ b/extension/tensor/test/tensor_ptr_maker_test.cpp
@@ -0,0 +1,439 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/extension/tensor/tensor_ptr_maker.h>
+
+#include <gtest/gtest.h>
+
+#include <executorch/runtime/platform/runtime.h>
+
+using namespace ::executorch::extension;
+using namespace ::executorch::runtime;
+
+class TensorPtrMakerTest : public ::testing::Test {
+ protected:
+  static void SetUpTestSuite() {
+    runtime_init();
+  }
+};
+
+TEST_F(TensorPtrMakerTest, CreateTensorUsingTensorMaker) {
+  float data[20] = {2};
+  auto tensor = for_blob(data, {4, 5})
+                    .dim_order({0, 1})
+                    .strides({5, 1})
+                    .dynamism(exec_aten::TensorShapeDynamism::DYNAMIC_BOUND)
+                    .make_tensor_ptr();
+
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->size(1), 5);
+  EXPECT_EQ(tensor->strides()[0], 5);
+  EXPECT_EQ(tensor->strides()[1], 1);
+  EXPECT_EQ(tensor->const_data_ptr<float>(), data);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[0], 2);
+}
+
+TEST_F(TensorPtrMakerTest, PerfectForwardingLValue) {
+  float data[20] = {2};
+  std::vector<exec_aten::SizesType> sizes = {4, 5};
+  std::vector<exec_aten::DimOrderType> dim_order = {0, 1};
+  std::vector<exec_aten::StridesType> strides = {5, 1};
+
+  auto tensor = for_blob(data, sizes)
+                    .dim_order(dim_order)
+                    .strides(strides)
+                    .make_tensor_ptr();
+
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->size(1), 5);
+  EXPECT_EQ(tensor->strides()[0], 5);
+  EXPECT_EQ(tensor->strides()[1], 1);
+
+  EXPECT_EQ(sizes.size(), 2);
+  EXPECT_EQ(dim_order.size(), 2);
+  EXPECT_EQ(strides.size(), 2);
+}
+
+TEST_F(TensorPtrMakerTest, PerfectForwardingRValue) {
+  float data[20] = {2};
+  std::vector<exec_aten::SizesType> sizes = {4, 5};
+  std::vector<exec_aten::DimOrderType> dim_order = {0, 1};
+  std::vector<exec_aten::StridesType> strides = {5, 1};
+
+  auto tensor = for_blob(data, std::move(sizes))
+                    .dim_order(std::move(dim_order))
+                    .strides(std::move(strides))
+                    .make_tensor_ptr();
+
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->size(1), 5);
+  EXPECT_EQ(tensor->strides()[0], 5);
+  EXPECT_EQ(tensor->strides()[1], 1);
+  // for_blob() moved the contents of the vectors, leaving these empty.
+  EXPECT_EQ(sizes.size(), 0); // NOLINT(bugprone-use-after-move)
+  EXPECT_EQ(dim_order.size(), 0); // NOLINT(bugprone-use-after-move)
+  EXPECT_EQ(strides.size(), 0); // NOLINT(bugprone-use-after-move)
+}
+
+TEST_F(TensorPtrMakerTest, CreateTensorFromBlob) {
+  float data[20] = {2};
+  auto tensor = from_blob(data, {4, 5});
+
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->size(1), 5);
+  EXPECT_EQ(tensor->strides()[0], 5);
+  EXPECT_EQ(tensor->strides()[1], 1);
+  EXPECT_EQ(tensor->const_data_ptr<float>(), data);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[0], 2);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[19], 0);
+}
+
+TEST_F(TensorPtrMakerTest, CreateTensorUsingFromBlobWithStrides) {
+  float data[20] = {3};
+  auto tensor = from_blob(data, {2, 2, 2}, {4, 2, 1});
+
+  EXPECT_EQ(tensor->dim(), 3);
+  EXPECT_EQ(tensor->size(0), 2);
+  EXPECT_EQ(tensor->size(1), 2);
+  EXPECT_EQ(tensor->size(2), 2);
+  EXPECT_EQ(tensor->strides()[0], 4);
+  EXPECT_EQ(tensor->strides()[1], 2);
+  EXPECT_EQ(tensor->strides()[2], 1);
+  EXPECT_EQ(tensor->const_data_ptr<float>(), data);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[0], 3);
+}
+
+TEST_F(TensorPtrMakerTest, TensorMakerConversionOperator) {
+  float data[20] = {2};
+  TensorPtr tensor =
+      for_blob(data, {4, 5})
+          .dynamism(exec_aten::TensorShapeDynamism::DYNAMIC_BOUND);
+
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->size(1), 5);
+}
+
+TEST_F(TensorPtrMakerTest, CreateTensorWithZeroDimensions) {
+  float data[1] = {2};
+  auto tensor = from_blob(data, {});
+
+  EXPECT_EQ(tensor->dim(), 0);
+  EXPECT_EQ(tensor->numel(), 1);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[0], 2);
+}
+
+TEST_F(TensorPtrMakerTest, TensorWithCustomDataDeleter) {
+  auto deleter_called = false;
+  float* data = new float[20]();
+  auto tensor = for_blob(data, {4, 5})
+                    .deleter([&deleter_called](void* ptr) {
+                      deleter_called = true;
+                      delete[] static_cast<float*>(ptr);
+                    })
+                    .make_tensor_ptr();
+
+  tensor.reset();
+  EXPECT_TRUE(deleter_called);
+}
+
+TEST_F(TensorPtrMakerTest, TensorManagesMovedVector) {
+  auto deleter_called = false;
+  std::vector<float> data(20, 3.0f);
+  auto* data_ptr = data.data();
+  auto tensor = for_blob(data_ptr, {4, 5})
+                    .deleter([moved_data = std::move(data), &deleter_called](
+                                 void*) mutable { deleter_called = true; })
+                    .make_tensor_ptr();
+
+  EXPECT_TRUE(data.empty()); // NOLINT(bugprone-use-after-move)
+  EXPECT_EQ(tensor->data_ptr<float>(), data_ptr);
+
+  tensor.reset();
+  EXPECT_TRUE(deleter_called);
+}
+
+TEST_F(TensorPtrMakerTest, TensorDeleterReleasesCapturedSharedPtr) {
+  auto deleter_called = false;
+  std::shared_ptr<float[]> data_ptr(
+      new float[10], [](float* ptr) { delete[] ptr; });
+  auto tensor = from_blob(
+      data_ptr.get(),
+      {4, 5},
+      exec_aten::ScalarType::Float,
+      [data_ptr, &deleter_called](void*) mutable { deleter_called = true; });
+
+  EXPECT_EQ(data_ptr.use_count(), 2);
+
+  tensor.reset();
+  EXPECT_TRUE(deleter_called);
+  EXPECT_EQ(data_ptr.use_count(), 1);
+}
+
+TEST_F(TensorPtrMakerTest, CreateEmpty) {
+  auto tensor = empty({4, 5});
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->size(1), 5);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Float);
+
+  auto tensor2 = empty({4, 5}, exec_aten::ScalarType::Int);
+  EXPECT_EQ(tensor2->dim(), 2);
+  EXPECT_EQ(tensor2->size(0), 4);
+  EXPECT_EQ(tensor2->size(1), 5);
+  EXPECT_EQ(tensor2->scalar_type(), exec_aten::ScalarType::Int);
+
+  auto tensor3 = empty({4, 5}, exec_aten::ScalarType::Long);
+  EXPECT_EQ(tensor3->dim(), 2);
+  EXPECT_EQ(tensor3->size(0), 4);
+  EXPECT_EQ(tensor3->size(1), 5);
+  EXPECT_EQ(tensor3->scalar_type(), exec_aten::ScalarType::Long);
+
+  auto tensor4 = empty({4, 5}, exec_aten::ScalarType::Double);
+  EXPECT_EQ(tensor4->dim(), 2);
+  EXPECT_EQ(tensor4->size(0), 4);
+  EXPECT_EQ(tensor4->size(1), 5);
+  EXPECT_EQ(tensor4->scalar_type(), exec_aten::ScalarType::Double);
+}
+
+TEST_F(TensorPtrMakerTest, CreateFull) {
+  auto tensor = full({4, 5}, 7);
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->size(1), 5);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Float);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[0], 7);
+
+  auto tensor2 = full({4, 5}, 3, exec_aten::ScalarType::Int);
+  EXPECT_EQ(tensor2->dim(), 2);
+  EXPECT_EQ(tensor2->size(0), 4);
+  EXPECT_EQ(tensor2->size(1), 5);
+  EXPECT_EQ(tensor2->scalar_type(), exec_aten::ScalarType::Int);
+  EXPECT_EQ(tensor2->const_data_ptr<int32_t>()[0], 3);
+
+  auto tensor3 = full({4, 5}, 9, exec_aten::ScalarType::Long);
+  EXPECT_EQ(tensor3->dim(), 2);
+  EXPECT_EQ(tensor3->size(0), 4);
+  EXPECT_EQ(tensor3->size(1), 5);
+  EXPECT_EQ(tensor3->scalar_type(), exec_aten::ScalarType::Long);
+  EXPECT_EQ(tensor3->const_data_ptr<int64_t>()[0], 9);
+
+  auto tensor4 = full({4, 5}, 11, exec_aten::ScalarType::Double);
+  EXPECT_EQ(tensor4->dim(), 2);
+  EXPECT_EQ(tensor4->size(0), 4);
+  EXPECT_EQ(tensor4->size(1), 5);
+  EXPECT_EQ(tensor4->scalar_type(), exec_aten::ScalarType::Double);
+  EXPECT_EQ(tensor4->const_data_ptr<double>()[0], 11);
+}
+
+TEST_F(TensorPtrMakerTest, CreateScalar) {
+  auto tensor = scalar_tensor(3.14f);
+
+  EXPECT_EQ(tensor->dim(), 0);
+  EXPECT_EQ(tensor->numel(), 1);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Float);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[0], 3.14f);
+
+  auto tensor2 = scalar_tensor(5, exec_aten::ScalarType::Int);
+
+  EXPECT_EQ(tensor2->dim(), 0);
+  EXPECT_EQ(tensor2->numel(), 1);
+  EXPECT_EQ(tensor2->scalar_type(), exec_aten::ScalarType::Int);
+  EXPECT_EQ(tensor2->const_data_ptr<int32_t>()[0], 5);
+
+  auto tensor3 = scalar_tensor(7.0, exec_aten::ScalarType::Double);
+
+  EXPECT_EQ(tensor3->dim(), 0);
+  EXPECT_EQ(tensor3->numel(), 1);
+  EXPECT_EQ(tensor3->scalar_type(), exec_aten::ScalarType::Double);
+  EXPECT_EQ(tensor3->const_data_ptr<double>()[0], 7.0);
+}
+
+TEST_F(TensorPtrMakerTest, CreateOnes) {
+  auto tensor = ones({4, 5});
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->size(1), 5);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Float);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[0], 1);
+
+  auto tensor2 = ones({4, 5}, exec_aten::ScalarType::Int);
+  EXPECT_EQ(tensor2->dim(), 2);
+  EXPECT_EQ(tensor2->size(0), 4);
+  EXPECT_EQ(tensor2->size(1), 5);
+  EXPECT_EQ(tensor2->scalar_type(), exec_aten::ScalarType::Int);
+  EXPECT_EQ(tensor2->const_data_ptr<int32_t>()[0], 1);
+
+  auto tensor3 = ones({4, 5}, exec_aten::ScalarType::Long);
+  EXPECT_EQ(tensor3->dim(), 2);
+  EXPECT_EQ(tensor3->size(0), 4);
+  EXPECT_EQ(tensor3->size(1), 5);
+  EXPECT_EQ(tensor3->scalar_type(), exec_aten::ScalarType::Long);
+  EXPECT_EQ(tensor3->const_data_ptr<int64_t>()[0], 1);
+
+  auto tensor4 = ones({4, 5}, exec_aten::ScalarType::Double);
+  EXPECT_EQ(tensor4->dim(), 2);
+  EXPECT_EQ(tensor4->size(0), 4);
+  EXPECT_EQ(tensor4->size(1), 5);
+  EXPECT_EQ(tensor4->scalar_type(), exec_aten::ScalarType::Double);
+  EXPECT_EQ(tensor4->const_data_ptr<double>()[0], 1);
+}
+
+TEST_F(TensorPtrMakerTest, CreateZeros) {
+  auto tensor = zeros({4, 5});
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->size(1), 5);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Float);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[0], 0);
+
+  auto tensor2 = zeros({4, 5}, exec_aten::ScalarType::Int);
+  EXPECT_EQ(tensor2->dim(), 2);
+  EXPECT_EQ(tensor2->size(0), 4);
+  EXPECT_EQ(tensor2->size(1), 5);
+  EXPECT_EQ(tensor2->scalar_type(), exec_aten::ScalarType::Int);
+  EXPECT_EQ(tensor2->const_data_ptr<int32_t>()[0], 0);
+
+  auto tensor3 = zeros({4, 5}, exec_aten::ScalarType::Long);
+  EXPECT_EQ(tensor3->dim(), 2);
+  EXPECT_EQ(tensor3->size(0), 4);
+  EXPECT_EQ(tensor3->size(1), 5);
+  EXPECT_EQ(tensor3->scalar_type(), exec_aten::ScalarType::Long);
+  EXPECT_EQ(tensor3->const_data_ptr<int64_t>()[0], 0);
+
+  auto tensor4 = zeros({4, 5}, exec_aten::ScalarType::Double);
+  EXPECT_EQ(tensor4->dim(), 2);
+  EXPECT_EQ(tensor4->size(0), 4);
+  EXPECT_EQ(tensor4->size(1), 5);
+  EXPECT_EQ(tensor4->scalar_type(), exec_aten::ScalarType::Double);
+  EXPECT_EQ(tensor4->const_data_ptr<double>()[0], 0);
+}
+
+TEST_F(TensorPtrMakerTest, CreateRandTensor) {
+  auto tensor = rand({4, 5});
+
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->size(1), 5);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Float);
+
+  for (auto i = 0; i < tensor->numel(); ++i) {
+    auto val = tensor->const_data_ptr<float>()[i];
+    EXPECT_GE(val, 0.0f);
+    EXPECT_LT(val, 1.0f);
+  }
+}
+
+TEST_F(TensorPtrMakerTest, CreateRandTensorWithIntType) {
+  auto tensor = rand({4, 5}, exec_aten::ScalarType::Int);
+
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->size(1), 5);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Int);
+
+  for (auto i = 0; i < tensor->numel(); ++i) {
+    auto val = tensor->const_data_ptr<int32_t>()[i];
+    EXPECT_EQ(val, 0);
+  }
+}
+
+TEST_F(TensorPtrMakerTest, CreateRandTensorWithDoubleType) {
+  auto tensor = rand({4, 5}, exec_aten::ScalarType::Double);
+
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->size(1), 5);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Double);
+
+  for (auto i = 0; i < tensor->numel(); ++i) {
+    auto val = tensor->const_data_ptr<double>()[i];
+    EXPECT_GE(val, 0.0);
+    EXPECT_LT(val, 1.0);
+  }
+}
+
+TEST_F(TensorPtrMakerTest, CreateRandnTensor) {
+  auto tensor = randn({100, 100});
+
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 100);
+  EXPECT_EQ(tensor->size(1), 100);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Float);
+
+  auto sum = 0.0f;
+  for (auto i = 0; i < tensor->numel(); ++i) {
+    sum += tensor->const_data_ptr<float>()[i];
+  }
+  const auto average = sum / tensor->numel();
+  EXPECT_NEAR(average, 0.0f, 1.0f);
+}
+
+TEST_F(TensorPtrMakerTest, CreateRandnTensorWithDoubleType) {
+  auto tensor = randn({100, 100}, exec_aten::ScalarType::Double);
+
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 100);
+  EXPECT_EQ(tensor->size(1), 100);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Double);
+
+  auto sum = 0.0;
+  for (auto i = 0; i < tensor->numel(); ++i) {
+    sum += tensor->const_data_ptr<double>()[i];
+  }
+  const auto average = sum / tensor->numel();
+  EXPECT_NEAR(average, 0.0, 1.0);
+}
+
+TEST_F(TensorPtrMakerTest, CreateRandIntTensorWithIntType) {
+  auto tensor = randint(10, 20, {4, 5}, exec_aten::ScalarType::Int);
+
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->size(1), 5);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Int);
+
+  for (auto i = 0; i < tensor->numel(); ++i) {
+    auto val = tensor->const_data_ptr<int32_t>()[i];
+    EXPECT_GE(val, 10);
+    EXPECT_LT(val, 20);
+  }
+}
+
+TEST_F(TensorPtrMakerTest, CreateRandIntTensorWithLongType) {
+  auto tensor = randint(10, 20, {4, 5}, exec_aten::ScalarType::Long);
+
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->size(1), 5);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Long);
+
+  for (auto i = 0; i < tensor->numel(); ++i) {
+    auto val = tensor->const_data_ptr<int64_t>()[i];
+    EXPECT_GE(val, 10);
+    EXPECT_LT(val, 20);
+  }
+}
+
+TEST_F(TensorPtrMakerTest, CreateRandnTensorWithIntType) {
+  auto tensor = rand({4, 5}, exec_aten::ScalarType::Int);
+
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->size(1), 5);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Int);
+
+  for (auto i = 0; i < tensor->numel(); ++i) {
+    auto val = tensor->const_data_ptr<int32_t>()[i];
+    EXPECT_EQ(val, 0);
+  }
+}
diff --git a/extension/tensor/test/tensor_ptr_test.cpp b/extension/tensor/test/tensor_ptr_test.cpp
new file mode 100644
index 0000000000..291d19e06b
--- /dev/null
+++ b/extension/tensor/test/tensor_ptr_test.cpp
@@ -0,0 +1,594 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/extension/tensor/tensor_ptr.h>
+
+#include <gtest/gtest.h>
+
+#include <executorch/runtime/platform/runtime.h>
+
+using namespace ::executorch::extension;
+using namespace ::executorch::runtime;
+
+class TensorPtrTest : public ::testing::Test {
+ protected:
+  static void SetUpTestSuite() {
+    runtime_init();
+  }
+};
+
+TEST_F(TensorPtrTest, ScalarTensorCreation) {
+  float scalar_data = 3.14f;
+  auto tensor = make_tensor_ptr({}, &scalar_data);
+
+  EXPECT_EQ(tensor->numel(), 1);
+  EXPECT_EQ(tensor->dim(), 0);
+  EXPECT_EQ(tensor->sizes().size(), 0);
+  EXPECT_EQ(tensor->strides().size(), 0);
+  EXPECT_EQ(tensor->const_data_ptr<float>(), &scalar_data);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[0], 3.14f);
+}
+
+TEST_F(TensorPtrTest, ScalarTensorOwningData) {
+  auto tensor = make_tensor_ptr({}, {3.14f});
+
+  EXPECT_EQ(tensor->numel(), 1);
+  EXPECT_EQ(tensor->dim(), 0);
+  EXPECT_EQ(tensor->sizes().size(), 0);
+  EXPECT_EQ(tensor->strides().size(), 0);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[0], 3.14f);
+}
+
+TEST_F(TensorPtrTest, ScalarTensorSingleValueCreation) {
+  auto tensor_float = make_tensor_ptr(3.14f);
+  EXPECT_EQ(tensor_float->dim(), 0);
+  EXPECT_EQ(tensor_float->numel(), 1);
+  EXPECT_EQ(tensor_float->sizes().size(), 0);
+  EXPECT_EQ(tensor_float->strides().size(), 0);
+  EXPECT_EQ(tensor_float->const_data_ptr<float>()[0], 3.14f);
+  EXPECT_EQ(tensor_float->scalar_type(), exec_aten::ScalarType::Float);
+
+  auto tensor_int32 = make_tensor_ptr(42);
+  EXPECT_EQ(tensor_int32->dim(), 0);
+  EXPECT_EQ(tensor_int32->numel(), 1);
+  EXPECT_EQ(tensor_int32->sizes().size(), 0);
+  EXPECT_EQ(tensor_int32->strides().size(), 0);
+  EXPECT_EQ(tensor_int32->const_data_ptr<int32_t>()[0], 42);
+  EXPECT_EQ(tensor_int32->scalar_type(), exec_aten::ScalarType::Int);
+
+  auto tensor_double = make_tensor_ptr(2.718);
+  EXPECT_EQ(tensor_double->dim(), 0);
+  EXPECT_EQ(tensor_double->numel(), 1);
+  EXPECT_EQ(tensor_double->sizes().size(), 0);
+  EXPECT_EQ(tensor_double->strides().size(), 0);
+  EXPECT_EQ(tensor_double->const_data_ptr<double>()[0], 2.718);
+  EXPECT_EQ(tensor_double->scalar_type(), exec_aten::ScalarType::Double);
+
+  auto tensor_int64 = make_tensor_ptr(static_cast<int64_t>(10000000000));
+  EXPECT_EQ(tensor_int64->dim(), 0);
+  EXPECT_EQ(tensor_int64->numel(), 1);
+  EXPECT_EQ(tensor_int64->sizes().size(), 0);
+  EXPECT_EQ(tensor_int64->strides().size(), 0);
+  EXPECT_EQ(tensor_int64->const_data_ptr<int64_t>()[0], 10000000000);
+  EXPECT_EQ(tensor_int64->scalar_type(), exec_aten::ScalarType::Long);
+}
+
+TEST_F(TensorPtrTest, CreateTensorWithStridesAndDimOrder) {
+  float data[20] = {2};
+  auto tensor = make_tensor_ptr({4, 5}, data, {0, 1}, {5, 1});
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->size(1), 5);
+  EXPECT_EQ(tensor->strides()[0], 5);
+  EXPECT_EQ(tensor->strides()[1], 1);
+  EXPECT_EQ(tensor->const_data_ptr<float>(), data);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[0], 2);
+}
+
+TEST_F(TensorPtrTest, TensorSharingImpl) {
+  float data[20] = {2};
+  auto tensor1 = make_tensor_ptr({4, 5}, data);
+  auto tensor2 = make_tensor_ptr(tensor1);
+  EXPECT_EQ(tensor1->unsafeGetTensorImpl(), tensor2->unsafeGetTensorImpl());
+}
+
+TEST_F(TensorPtrTest, TensorImplLifetime) {
+  TensorPtr tensor;
+  EXPECT_EQ(tensor, nullptr);
+  {
+    float data[20] = {2};
+    auto tensor_impl = make_tensor_impl_ptr({4, 5}, data);
+    tensor = make_tensor_ptr(tensor_impl);
+  }
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->size(1), 5);
+}
+
+TEST_F(TensorPtrTest, TensorWithZeroDimensionAndElements) {
+  float data[20] = {2};
+  auto tensor = make_tensor_ptr({}, data);
+  EXPECT_EQ(tensor->dim(), 0);
+  EXPECT_EQ(tensor->numel(), 1);
+  tensor = make_tensor_ptr({0, 5}, data);
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->numel(), 0);
+}
+
+TEST_F(TensorPtrTest, TensorResize) {
+  float data[20] = {2};
+  auto tensor = make_tensor_ptr(
+      {4, 5},
+      data,
+      {},
+      {},
+      exec_aten::ScalarType::Float,
+      exec_aten::TensorShapeDynamism::DYNAMIC_UNBOUND);
+  EXPECT_EQ(resize_tensor_ptr(tensor, {5, 4}), Error::Ok);
+  EXPECT_EQ(tensor->size(0), 5);
+  EXPECT_EQ(tensor->size(1), 4);
+}
+
+TEST_F(TensorPtrTest, TensorDataAccess) {
+  float data[6] = {1, 2, 3, 4, 5, 6};
+  auto tensor = make_tensor_ptr({2, 3}, data);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[0], 1);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[5], 6);
+  tensor->mutable_data_ptr<float>()[0] = 10;
+  EXPECT_EQ(tensor->const_data_ptr<float>()[0], 10);
+}
+
+TEST_F(TensorPtrTest, TensorWithCustomDataDeleter) {
+  auto deleter_called = false;
+  float* data = new float[20]();
+  auto tensor = make_tensor_ptr(
+      {4, 5},
+      data,
+      {},
+      {},
+      exec_aten::ScalarType::Float,
+      exec_aten::TensorShapeDynamism::DYNAMIC_BOUND,
+      [&deleter_called](void* ptr) {
+        deleter_called = true;
+        delete[] static_cast<float*>(ptr);
+      });
+
+  tensor.reset();
+  EXPECT_TRUE(deleter_called);
+}
+
+TEST_F(TensorPtrTest, TensorManagesMovedVector) {
+  auto deleter_called = false;
+  std::vector<float> data(20, 3.0f);
+  auto* data_ptr = data.data();
+  auto tensor = make_tensor_ptr(
+      {4, 5},
+      data_ptr,
+      {},
+      {},
+      exec_aten::ScalarType::Float,
+      exec_aten::TensorShapeDynamism::DYNAMIC_BOUND,
+      [moved_data = std::move(data), &deleter_called](void*) mutable {
+        deleter_called = true;
+      });
+
+  EXPECT_TRUE(data.empty()); // NOLINT(bugprone-use-after-move)
+  EXPECT_EQ(tensor->data_ptr<float>(), data_ptr);
+
+  tensor.reset();
+  EXPECT_TRUE(deleter_called);
+}
+
+TEST_F(TensorPtrTest, TensorDeleterReleasesCapturedSharedPtr) {
+  auto deleter_called = false;
+  std::shared_ptr<float[]> data_ptr(
+      new float[10], [](float* ptr) { delete[] ptr; });
+  auto tensor = make_tensor_ptr(
+      {4, 5},
+      data_ptr.get(),
+      {},
+      {},
+      exec_aten::ScalarType::Float,
+      exec_aten::TensorShapeDynamism::DYNAMIC_BOUND,
+      [data_ptr, &deleter_called](void*) mutable { deleter_called = true; });
+
+  EXPECT_EQ(data_ptr.use_count(), 2);
+
+  tensor.reset();
+  EXPECT_TRUE(deleter_called);
+  EXPECT_EQ(data_ptr.use_count(), 1);
+}
+
+TEST_F(TensorPtrTest, TensorOwningData) {
+  auto tensor = make_tensor_ptr(
+      {2, 5},
+      {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f},
+      {1, 0},
+      {1, 2});
+
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 2);
+  EXPECT_EQ(tensor->size(1), 5);
+  EXPECT_EQ(tensor->strides()[0], 1);
+  EXPECT_EQ(tensor->strides()[1], 2);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[0], 1.0f);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[9], 10.0f);
+}
+
+TEST_F(TensorPtrTest, TensorOwningEmptyData) {
+  auto tensor = make_tensor_ptr({0, 5}, std::vector<float>());
+
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 0);
+  EXPECT_EQ(tensor->size(1), 5);
+  EXPECT_EQ(tensor->strides()[0], 5);
+  EXPECT_EQ(tensor->strides()[1], 1);
+  EXPECT_EQ(tensor->data_ptr<float>(), nullptr);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Float);
+}
+
+TEST_F(TensorPtrTest, TensorImplDataOnly) {
+  auto tensor = make_tensor_ptr({1.0f, 2.0f, 3.0f, 4.0f});
+
+  EXPECT_EQ(tensor->dim(), 1);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->strides()[0], 1);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[0], 1.0);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[3], 4.0);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Float);
+}
+
+TEST_F(TensorPtrTest, TensorImplDataOnlyDoubleType) {
+  std::vector<double> data = {1.0, 2.0, 3.0, 4.0};
+  auto tensor = make_tensor_ptr(std::move(data));
+
+  EXPECT_EQ(tensor->dim(), 1);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->strides()[0], 1);
+  EXPECT_EQ(tensor->const_data_ptr<double>()[0], 1.0);
+  EXPECT_EQ(tensor->const_data_ptr<double>()[3], 4.0);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Double);
+}
+
+TEST_F(TensorPtrTest, TensorImplDataOnlyInt32Type) {
+  std::vector<int32_t> data = {10, 20, 30, 40};
+  auto tensor = make_tensor_ptr(std::move(data));
+
+  EXPECT_EQ(tensor->dim(), 1);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->strides()[0], 1);
+  EXPECT_EQ(tensor->const_data_ptr<int32_t>()[0], 10);
+  EXPECT_EQ(tensor->const_data_ptr<int32_t>()[3], 40);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Int);
+}
+
+TEST_F(TensorPtrTest, TensorImplDataOnlyInt64Type) {
+  std::vector<int64_t> data = {100, 200, 300, 400};
+  auto tensor = make_tensor_ptr(std::move(data));
+
+  EXPECT_EQ(tensor->dim(), 1);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->strides()[0], 1);
+  EXPECT_EQ(tensor->const_data_ptr<int64_t>()[0], 100);
+  EXPECT_EQ(tensor->const_data_ptr<int64_t>()[3], 400);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Long);
+}
+
+TEST_F(TensorPtrTest, TensorImplDataOnlyUint8Type) {
+  std::vector<uint8_t> data = {10, 20, 30, 40};
+  auto tensor = make_tensor_ptr(std::move(data));
+
+  EXPECT_EQ(tensor->dim(), 1);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->strides()[0], 1);
+  EXPECT_EQ(tensor->const_data_ptr<uint8_t>()[0], 10);
+  EXPECT_EQ(tensor->const_data_ptr<uint8_t>()[3], 40);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Byte);
+}
+
+TEST_F(TensorPtrTest, TensorImplAmbiguityWithMixedVectors) {
+  std::vector<exec_aten::SizesType> sizes = {2, 2};
+  std::vector<float> data = {1.0f, 2.0f, 3.0f, 4.0f};
+  auto tensor = make_tensor_ptr(std::move(sizes), std::move(data));
+
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 2);
+  EXPECT_EQ(tensor->size(1), 2);
+  EXPECT_EQ(tensor->strides()[0], 2);
+  EXPECT_EQ(tensor->strides()[1], 1);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[0], 1.0f);
+  EXPECT_EQ(tensor->const_data_ptr<float>()[3], 4.0f);
+
+  auto tensor2 = make_tensor_ptr({2, 2}, {1.0f, 2.0f, 3.0f, 4.0f});
+
+  EXPECT_EQ(tensor2->dim(), 2);
+  EXPECT_EQ(tensor2->size(0), 2);
+  EXPECT_EQ(tensor2->size(1), 2);
+  EXPECT_EQ(tensor2->strides()[0], 2);
+  EXPECT_EQ(tensor2->strides()[1], 1);
+  EXPECT_EQ(tensor2->const_data_ptr<float>()[0], 1.0f);
+  EXPECT_EQ(tensor2->const_data_ptr<float>()[3], 4.0f);
+}
+
+TEST_F(TensorPtrTest, TensorSharingImplModifiesSharedDataVector) {
+  std::vector<float> data = {1, 2, 3, 4, 5, 6};
+
+  auto tensor1 = make_tensor_ptr({2, 3}, std::move(data));
+  auto tensor2 = make_tensor_ptr(tensor1);
+
+  tensor1->mutable_data_ptr<float>()[0] = 10;
+  EXPECT_EQ(tensor2->const_data_ptr<float>()[0], 10);
+
+  tensor2->mutable_data_ptr<float>()[5] = 20;
+  EXPECT_EQ(tensor1->const_data_ptr<float>()[5], 20);
+}
+
+TEST_F(TensorPtrTest, TensorSharingImplResizingAffectsBothVector) {
+  std::vector<float> data = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
+
+  auto tensor1 = make_tensor_ptr({3, 4}, std::move(data));
+  auto tensor2 = make_tensor_ptr(tensor1);
+
+  EXPECT_EQ(resize_tensor_ptr(tensor1, {2, 6}), Error::Ok);
+  EXPECT_EQ(tensor2->size(0), 2);
+  EXPECT_EQ(tensor2->size(1), 6);
+
+  EXPECT_EQ(resize_tensor_ptr(tensor2, {4, 3}), Error::Ok);
+  EXPECT_EQ(tensor1->size(0), 4);
+  EXPECT_EQ(tensor1->size(1), 3);
+}
+
+TEST_F(TensorPtrTest, MakeTensorPtrFromExistingTensorInt32) {
+  std::vector<int32_t> data = {1, 2, 3, 4};
+  auto tensor = make_tensor_ptr({2, 2}, data);
+  auto new_tensor = make_tensor_ptr(*tensor);
+
+  EXPECT_EQ(new_tensor->dim(), tensor->dim());
+  EXPECT_EQ(new_tensor->size(0), tensor->size(0));
+  EXPECT_EQ(new_tensor->size(1), tensor->size(1));
+  EXPECT_EQ(
+      new_tensor->const_data_ptr<int32_t>(), tensor->const_data_ptr<int32_t>());
+  EXPECT_EQ(new_tensor->scalar_type(), exec_aten::ScalarType::Int);
+}
+
+TEST_F(TensorPtrTest, CloneTensorPtrFromExistingTensorInt32) {
+  std::vector<int32_t> data = {1, 2, 3, 4};
+  auto tensor = make_tensor_ptr({2, 2}, std::move(data));
+  auto cloned_tensor = clone_tensor_ptr(*tensor);
+
+  EXPECT_EQ(cloned_tensor->dim(), tensor->dim());
+  EXPECT_EQ(cloned_tensor->size(0), tensor->size(0));
+  EXPECT_EQ(cloned_tensor->size(1), tensor->size(1));
+  EXPECT_NE(
+      cloned_tensor->const_data_ptr<int32_t>(),
+      tensor->const_data_ptr<int32_t>());
+  EXPECT_EQ(cloned_tensor->const_data_ptr<int32_t>()[0], 1);
+  EXPECT_EQ(cloned_tensor->const_data_ptr<int32_t>()[3], 4);
+  EXPECT_EQ(cloned_tensor->scalar_type(), exec_aten::ScalarType::Int);
+}
+
+TEST_F(TensorPtrTest, CloneTensorPtrFromTensorPtrInt32) {
+  std::vector<int32_t> data = {1, 2, 3, 4};
+  auto tensor = make_tensor_ptr({2, 2}, std::move(data));
+  auto cloned_tensor = clone_tensor_ptr(tensor);
+
+  EXPECT_EQ(cloned_tensor->dim(), tensor->dim());
+  EXPECT_EQ(cloned_tensor->size(0), tensor->size(0));
+  EXPECT_EQ(cloned_tensor->size(1), tensor->size(1));
+  EXPECT_NE(
+      cloned_tensor->const_data_ptr<int32_t>(),
+      tensor->const_data_ptr<int32_t>());
+  EXPECT_EQ(cloned_tensor->const_data_ptr<int32_t>()[0], 1);
+  EXPECT_EQ(cloned_tensor->const_data_ptr<int32_t>()[3], 4);
+  EXPECT_EQ(cloned_tensor->scalar_type(), exec_aten::ScalarType::Int);
+}
+
+TEST_F(TensorPtrTest, MakeTensorPtrFromExistingTensorDouble) {
+  std::vector<double> data = {1.0, 2.0, 3.0, 4.0};
+  auto tensor = make_tensor_ptr({2, 2}, data);
+  auto new_tensor = make_tensor_ptr(*tensor);
+
+  EXPECT_EQ(new_tensor->dim(), tensor->dim());
+  EXPECT_EQ(new_tensor->size(0), tensor->size(0));
+  EXPECT_EQ(new_tensor->size(1), tensor->size(1));
+  EXPECT_EQ(
+      new_tensor->const_data_ptr<double>(), tensor->const_data_ptr<double>());
+  EXPECT_EQ(new_tensor->scalar_type(), exec_aten::ScalarType::Double);
+}
+
+TEST_F(TensorPtrTest, CloneTensorPtrFromExistingTensorDouble) {
+  std::vector<double> data = {1.0, 2.0, 3.0, 4.0};
+  auto tensor = make_tensor_ptr({2, 2}, std::move(data));
+  auto cloned_tensor = clone_tensor_ptr(*tensor);
+
+  EXPECT_EQ(cloned_tensor->dim(), tensor->dim());
+  EXPECT_EQ(cloned_tensor->size(0), tensor->size(0));
+  EXPECT_EQ(cloned_tensor->size(1), tensor->size(1));
+  EXPECT_NE(
+      cloned_tensor->const_data_ptr<double>(),
+      tensor->const_data_ptr<double>());
+  EXPECT_EQ(cloned_tensor->const_data_ptr<double>()[0], 1.0);
+  EXPECT_EQ(cloned_tensor->const_data_ptr<double>()[3], 4.0);
+  EXPECT_EQ(cloned_tensor->scalar_type(), exec_aten::ScalarType::Double);
+}
+
+TEST_F(TensorPtrTest, CloneTensorPtrFromTensorPtrDouble) {
+  std::vector<double> data = {1.0, 2.0, 3.0, 4.0};
+  auto tensor = make_tensor_ptr({2, 2}, std::move(data));
+  auto cloned_tensor = clone_tensor_ptr(tensor);
+
+  EXPECT_EQ(cloned_tensor->dim(), tensor->dim());
+  EXPECT_EQ(cloned_tensor->size(0), tensor->size(0));
+  EXPECT_EQ(cloned_tensor->size(1), tensor->size(1));
+  EXPECT_NE(
+      cloned_tensor->const_data_ptr<double>(),
+      tensor->const_data_ptr<double>());
+  EXPECT_EQ(cloned_tensor->const_data_ptr<double>()[0], 1.0);
+  EXPECT_EQ(cloned_tensor->const_data_ptr<double>()[3], 4.0);
+  EXPECT_EQ(cloned_tensor->scalar_type(), exec_aten::ScalarType::Double);
+}
+
+TEST_F(TensorPtrTest, MakeTensorPtrFromExistingTensorInt64) {
+  std::vector<int64_t> data = {100, 200, 300, 400};
+  auto tensor = make_tensor_ptr({2, 2}, data);
+  auto new_tensor = make_tensor_ptr(*tensor);
+
+  EXPECT_EQ(new_tensor->dim(), tensor->dim());
+  EXPECT_EQ(new_tensor->size(0), tensor->size(0));
+  EXPECT_EQ(new_tensor->size(1), tensor->size(1));
+  EXPECT_EQ(
+      new_tensor->const_data_ptr<int64_t>(), tensor->const_data_ptr<int64_t>());
+  EXPECT_EQ(new_tensor->scalar_type(), exec_aten::ScalarType::Long);
+}
+
+TEST_F(TensorPtrTest, CloneTensorPtrFromExistingTensorInt64) {
+  std::vector<int64_t> data = {100, 200, 300, 400};
+  auto tensor = make_tensor_ptr({2, 2}, std::move(data));
+  auto cloned_tensor = clone_tensor_ptr(*tensor);
+
+  EXPECT_EQ(cloned_tensor->dim(), tensor->dim());
+  EXPECT_EQ(cloned_tensor->size(0), tensor->size(0));
+  EXPECT_EQ(cloned_tensor->size(1), tensor->size(1));
+  EXPECT_NE(
+      cloned_tensor->const_data_ptr<int64_t>(),
+      tensor->const_data_ptr<int64_t>());
+  EXPECT_EQ(cloned_tensor->const_data_ptr<int64_t>()[0], 100);
+  EXPECT_EQ(cloned_tensor->const_data_ptr<int64_t>()[3], 400);
+  EXPECT_EQ(cloned_tensor->scalar_type(), exec_aten::ScalarType::Long);
+}
+
+TEST_F(TensorPtrTest, CloneTensorPtrFromTensorPtrInt64) {
+  std::vector<int64_t> data = {100, 200, 300, 400};
+  auto tensor = make_tensor_ptr({2, 2}, std::move(data));
+  auto cloned_tensor = clone_tensor_ptr(tensor);
+
+  EXPECT_EQ(cloned_tensor->dim(), tensor->dim());
+  EXPECT_EQ(cloned_tensor->size(0), tensor->size(0));
+  EXPECT_EQ(cloned_tensor->size(1), tensor->size(1));
+  EXPECT_NE(
+      cloned_tensor->const_data_ptr<int64_t>(),
+      tensor->const_data_ptr<int64_t>());
+  EXPECT_EQ(cloned_tensor->const_data_ptr<int64_t>()[0], 100);
+  EXPECT_EQ(cloned_tensor->const_data_ptr<int64_t>()[3], 400);
+  EXPECT_EQ(cloned_tensor->scalar_type(), exec_aten::ScalarType::Long);
+}
+
+TEST_F(TensorPtrTest, TensorDataCastingFromIntToFloat) {
+  std::vector<int32_t> int_data = {1, 2, 3, 4, 5, 6};
+  auto tensor = make_tensor_ptr(
+      {2, 3}, std::move(int_data), {}, {}, exec_aten::ScalarType::Float);
+
+  EXPECT_EQ(tensor->dim(), 2);
+  EXPECT_EQ(tensor->size(0), 2);
+  EXPECT_EQ(tensor->size(1), 3);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Float);
+
+  auto data_ptr = tensor->const_data_ptr<float>();
+  EXPECT_FLOAT_EQ(data_ptr[0], 1.0f);
+  EXPECT_FLOAT_EQ(data_ptr[5], 6.0f);
+}
+
+TEST_F(TensorPtrTest, TensorDataCastingFromIntToDouble) {
+  std::vector<int32_t> int_data = {1, 2, 3};
+  auto tensor =
+      make_tensor_ptr(std::move(int_data), exec_aten::ScalarType::Double);
+
+  EXPECT_EQ(tensor->dim(), 1);
+  EXPECT_EQ(tensor->size(0), 3);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Double);
+
+  auto data_ptr = tensor->const_data_ptr<double>();
+  EXPECT_DOUBLE_EQ(data_ptr[0], 1.0);
+  EXPECT_DOUBLE_EQ(data_ptr[1], 2.0);
+  EXPECT_DOUBLE_EQ(data_ptr[2], 3.0);
+}
+
+TEST_F(TensorPtrTest, TensorDataCastingFromFloatToHalf) {
+  std::vector<float> float_data = {1.0f, 2.0f, 3.0f};
+  auto tensor =
+      make_tensor_ptr(std::move(float_data), exec_aten::ScalarType::Half);
+
+  EXPECT_EQ(tensor->dim(), 1);
+  EXPECT_EQ(tensor->size(0), 3);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Half);
+
+  auto data_ptr = tensor->const_data_ptr<exec_aten::Half>();
+  EXPECT_EQ(static_cast<float>(data_ptr[0]), 1.0f);
+  EXPECT_EQ(static_cast<float>(data_ptr[1]), 2.0f);
+  EXPECT_EQ(static_cast<float>(data_ptr[2]), 3.0f);
+}
+
+TEST_F(TensorPtrTest, TensorDataCastingFromDoubleToFloat) {
+  std::vector<double> double_data = {1.1, 2.2, 3.3};
+  auto tensor =
+      make_tensor_ptr(std::move(double_data), exec_aten::ScalarType::Float);
+
+  EXPECT_EQ(tensor->dim(), 1);
+  EXPECT_EQ(tensor->size(0), 3);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Float);
+
+  auto data_ptr = tensor->const_data_ptr<float>();
+  EXPECT_FLOAT_EQ(data_ptr[0], 1.1f);
+  EXPECT_FLOAT_EQ(data_ptr[1], 2.2f);
+  EXPECT_FLOAT_EQ(data_ptr[2], 3.3f);
+}
+
+TEST_F(TensorPtrTest, TensorDataCastingFromInt64ToInt32) {
+  std::vector<int64_t> int64_data = {10000000000, 20000000000, 30000000000};
+  auto tensor =
+      make_tensor_ptr(std::move(int64_data), exec_aten::ScalarType::Int);
+
+  EXPECT_EQ(tensor->dim(), 1);
+  EXPECT_EQ(tensor->size(0), 3);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Int);
+
+  auto data_ptr = tensor->const_data_ptr<int32_t>();
+  EXPECT_NE(data_ptr[0], 10000000000); // Expected overflow
+}
+
+TEST_F(TensorPtrTest, TensorDataCastingFromFloatToBFloat16) {
+  std::vector<float> float_data = {1.0f, 2.0f, 3.0f};
+  auto tensor =
+      make_tensor_ptr(std::move(float_data), exec_aten::ScalarType::BFloat16);
+
+  EXPECT_EQ(tensor->dim(), 1);
+  EXPECT_EQ(tensor->size(0), 3);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::BFloat16);
+
+  auto data_ptr = tensor->const_data_ptr<exec_aten::BFloat16>();
+  EXPECT_EQ(static_cast<float>(data_ptr[0]), 1.0f);
+  EXPECT_EQ(static_cast<float>(data_ptr[1]), 2.0f);
+  EXPECT_EQ(static_cast<float>(data_ptr[2]), 3.0f);
+}
+
+TEST_F(TensorPtrTest, InitializerListDoubleToHalf) {
+  auto tensor =
+      make_tensor_ptr<double>({1.5, 2.7, 3.14}, exec_aten::ScalarType::Half);
+  EXPECT_EQ(tensor->dim(), 1);
+  EXPECT_EQ(tensor->size(0), 3);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Half);
+
+  auto data_ptr = tensor->const_data_ptr<exec_aten::Half>();
+  EXPECT_NEAR(static_cast<float>(data_ptr[0]), 1.5f, 0.01);
+  EXPECT_NEAR(static_cast<float>(data_ptr[1]), 2.7f, 0.01);
+  EXPECT_NEAR(static_cast<float>(data_ptr[2]), 3.14f, 0.01);
+}
+
+TEST_F(TensorPtrTest, InitializerListInt8ToInt64) {
+  auto tensor =
+      make_tensor_ptr<int8_t>({1, -2, 3, -4}, exec_aten::ScalarType::Long);
+  EXPECT_EQ(tensor->dim(), 1);
+  EXPECT_EQ(tensor->size(0), 4);
+  EXPECT_EQ(tensor->scalar_type(), exec_aten::ScalarType::Long);
+
+  auto data_ptr = tensor->const_data_ptr<int64_t>();
+  EXPECT_EQ(data_ptr[0], 1);
+  EXPECT_EQ(data_ptr[1], -2);
+  EXPECT_EQ(data_ptr[2], 3);
+  EXPECT_EQ(data_ptr[3], -4);
+}
diff --git a/extension/testing_util/temp_file.h b/extension/testing_util/temp_file.h
index a710e130e7..aa8f5bcc82 100644
--- a/extension/testing_util/temp_file.h
+++ b/extension/testing_util/temp_file.h
@@ -18,9 +18,9 @@
 
 #include <gtest/gtest.h>
 
-namespace torch {
-namespace executor {
-namespace testing {
+namespace executorch {
+namespace extension {
+namespace testing { // Test-only helpers belong in a "testing" sub-namespace.
 
 /**
  * Creates and manages a named temporary file in the file system. Deletes the
@@ -98,6 +98,16 @@ class TempFile {
   std::string path_;
 };
 
+} // namespace testing
+} // namespace extension
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+namespace testing {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::extension::testing::TempFile;
 } // namespace testing
 } // namespace executor
 } // namespace torch
diff --git a/extension/testing_util/test/temp_file_test.cpp b/extension/testing_util/test/temp_file_test.cpp
index 072630897b..2a666d24d5 100644
--- a/extension/testing_util/test/temp_file_test.cpp
+++ b/extension/testing_util/test/temp_file_test.cpp
@@ -18,7 +18,7 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-using torch::executor::testing::TempFile;
+using executorch::extension::testing::TempFile;
 
 TEST(TempFileTest, Smoke) {
   std::string path;
diff --git a/extension/threadpool/CMakeLists.txt b/extension/threadpool/CMakeLists.txt
new file mode 100644
index 0000000000..281b63b859
--- /dev/null
+++ b/extension/threadpool/CMakeLists.txt
@@ -0,0 +1,43 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# Please this file formatted by running:
+# ~~~
+# cmake-format -i CMakeLists.txt
+# ~~~
+
+cmake_minimum_required(VERSION 3.19)
+
+# Source root directory for executorch.
+if(NOT EXECUTORCH_ROOT)
+  set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../..)
+endif()
+
+if(NOT CMAKE_CXX_STANDARD)
+  set(CMAKE_CXX_STANDARD 17)
+endif()
+
+add_library(
+  extension_threadpool threadpool.cpp threadpool_guard.cpp cpuinfo_utils.cpp
+)
+target_link_libraries(
+  extension_threadpool PUBLIC executorch_no_prim_ops cpuinfo pthreadpool
+)
+target_include_directories(extension_threadpool PUBLIC ${EXECUTORCH_ROOT}/..)
+target_include_directories(
+  extension_threadpool
+  PUBLIC ${EXECUTORCH_ROOT}/backends/xnnpack/third-party/cpuinfo/include
+         ${EXECUTORCH_ROOT}/backends/xnnpack/third-party/pthreadpool/include
+)
+target_compile_options(extension_threadpool PUBLIC ${_common_compile_options})
+
+# Install libraries
+install(
+  TARGETS extension_threadpool
+  DESTINATION lib
+  INCLUDES
+  DESTINATION ${_common_include_directories}
+)
diff --git a/extension/threadpool/TARGETS b/extension/threadpool/TARGETS
new file mode 100644
index 0000000000..2341af9282
--- /dev/null
+++ b/extension/threadpool/TARGETS
@@ -0,0 +1,8 @@
+# Any targets that should be shared between fbcode and xplat must be defined in
+# targets.bzl. This file can contain fbcode-only targets.
+
+load(":targets.bzl", "define_common_targets")
+
+oncall("executorch")
+
+define_common_targets()
diff --git a/backends/xnnpack/threadpool/cpuinfo_utils.cpp b/extension/threadpool/cpuinfo_utils.cpp
similarity index 100%
rename from backends/xnnpack/threadpool/cpuinfo_utils.cpp
rename to extension/threadpool/cpuinfo_utils.cpp
diff --git a/backends/xnnpack/threadpool/cpuinfo_utils.h b/extension/threadpool/cpuinfo_utils.h
similarity index 100%
rename from backends/xnnpack/threadpool/cpuinfo_utils.h
rename to extension/threadpool/cpuinfo_utils.h
diff --git a/backends/xnnpack/threadpool/targets.bzl b/extension/threadpool/targets.bzl
similarity index 100%
rename from backends/xnnpack/threadpool/targets.bzl
rename to extension/threadpool/targets.bzl
diff --git a/extension/threadpool/test/TARGETS b/extension/threadpool/test/TARGETS
new file mode 100644
index 0000000000..2341af9282
--- /dev/null
+++ b/extension/threadpool/test/TARGETS
@@ -0,0 +1,8 @@
+# Any targets that should be shared between fbcode and xplat must be defined in
+# targets.bzl. This file can contain fbcode-only targets.
+
+load(":targets.bzl", "define_common_targets")
+
+oncall("executorch")
+
+define_common_targets()
diff --git a/extension/threadpool/test/targets.bzl b/extension/threadpool/test/targets.bzl
new file mode 100644
index 0000000000..b8a39d8969
--- /dev/null
+++ b/extension/threadpool/test/targets.bzl
@@ -0,0 +1,20 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+
+    _THREADPOOL_TESTS = [
+        "threadpool_test.cpp",
+    ] + (["fb/threadpool_use_n_threads_test.cpp"] if not runtime.is_oss else [])
+
+    runtime.cxx_test(
+        name = "threadpool_test",
+        srcs = _THREADPOOL_TESTS,
+        deps = [
+            "//executorch/extension/threadpool:threadpool",
+        ],
+    )
diff --git a/backends/xnnpack/threadpool/test/threadpool_test.cpp b/extension/threadpool/test/threadpool_test.cpp
similarity index 97%
rename from backends/xnnpack/threadpool/test/threadpool_test.cpp
rename to extension/threadpool/test/threadpool_test.cpp
index a63a264e27..c244b8fcf2 100644
--- a/backends/xnnpack/threadpool/test/threadpool_test.cpp
+++ b/extension/threadpool/test/threadpool_test.cpp
@@ -11,8 +11,8 @@
 #include <numeric>
 #include <random>
 
-#include <executorch/backends/xnnpack/threadpool/threadpool.h>
-#include <executorch/backends/xnnpack/threadpool/threadpool_guard.h>
+#include <executorch/extension/threadpool/threadpool.h>
+#include <executorch/extension/threadpool/threadpool_guard.h>
 
 using namespace ::testing;
 
diff --git a/backends/xnnpack/threadpool/threadpool.cpp b/extension/threadpool/threadpool.cpp
similarity index 95%
rename from backends/xnnpack/threadpool/threadpool.cpp
rename to extension/threadpool/threadpool.cpp
index f17a0078c8..e8f2ea5f70 100644
--- a/backends/xnnpack/threadpool/threadpool.cpp
+++ b/extension/threadpool/threadpool.cpp
@@ -6,14 +6,15 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-#include <executorch/backends/xnnpack/threadpool/threadpool.h>
-#include <executorch/backends/xnnpack/threadpool/threadpool_guard.h>
+#include <executorch/extension/threadpool/threadpool.h>
+#include <executorch/extension/threadpool/threadpool_guard.h>
 #include <executorch/runtime/platform/assert.h>
 #include <algorithm>
 
 #include <cpuinfo.h>
 
 #include <atomic>
+#include <memory>
 
 namespace torch {
 namespace executorch {
@@ -117,7 +118,7 @@ ThreadPool* get_threadpool() {
   // @lint-ignore CLANGTIDY facebook-hte-std::call_once
   std::call_once(
       flag, []() { pthread_atfork(nullptr, nullptr, child_atfork); });
-  if __ET_UNLIKELY (leak_corrupted_threadpool) {
+  if ET_UNLIKELY (leak_corrupted_threadpool) {
     leak_corrupted_threadpool = false;
     if (auto leaked = threadpool.release()) {
       auto t = leaked->get_thread_count();
diff --git a/backends/xnnpack/threadpool/threadpool.h b/extension/threadpool/threadpool.h
similarity index 100%
rename from backends/xnnpack/threadpool/threadpool.h
rename to extension/threadpool/threadpool.h
diff --git a/backends/xnnpack/threadpool/threadpool_guard.cpp b/extension/threadpool/threadpool_guard.cpp
similarity index 89%
rename from backends/xnnpack/threadpool/threadpool_guard.cpp
rename to extension/threadpool/threadpool_guard.cpp
index a7f2a1803d..ac4103fbbc 100644
--- a/backends/xnnpack/threadpool/threadpool_guard.cpp
+++ b/extension/threadpool/threadpool_guard.cpp
@@ -6,7 +6,7 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-#include <executorch/backends/xnnpack/threadpool/threadpool_guard.h>
+#include <executorch/extension/threadpool/threadpool_guard.h>
 
 namespace torch {
 namespace executorch {
diff --git a/backends/xnnpack/threadpool/threadpool_guard.h b/extension/threadpool/threadpool_guard.h
similarity index 100%
rename from backends/xnnpack/threadpool/threadpool_guard.h
rename to extension/threadpool/threadpool_guard.h
diff --git a/extension/training/CMakeLists.txt b/extension/training/CMakeLists.txt
new file mode 100644
index 0000000000..da6ba7f1b4
--- /dev/null
+++ b/extension/training/CMakeLists.txt
@@ -0,0 +1,49 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# Please this file formatted by running:
+# ~~~
+# cmake-format -i CMakeLists.txt
+# ~~~
+
+cmake_minimum_required(VERSION 3.19)
+
+# Source root directory for executorch.
+if(NOT EXECUTORCH_ROOT)
+  set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../..)
+endif()
+
+list(TRANSFORM _extension_training__srcs PREPEND "${EXECUTORCH_ROOT}/")
+
+add_library(extension_training ${_extension_training__srcs})
+target_include_directories(
+  extension_training PUBLIC ${_common_include_directories}
+)
+
+target_include_directories(extension_training PUBLIC ${EXECUTORCH_ROOT}/..)
+target_compile_options(extension_training PUBLIC ${_common_compile_options})
+target_link_libraries(extension_training executorch_no_prim_ops
+    extension_data_loader extension_module extension_tensor)
+
+
+list(TRANSFORM _train_xor__srcs PREPEND "${EXECUTORCH_ROOT}/")
+add_executable(train_xor ${_train_xor__srcs})
+target_include_directories(
+  train_xor PUBLIC ${_common_include_directories}
+)
+target_link_libraries(
+train_xor gflags executorch_no_prim_ops portable_ops_lib extension_tensor
+    extension_training program_schema
+)
+target_compile_options(train_xor PUBLIC ${_common_compile_options})
+
+# Install libraries
+install(
+  TARGETS extension_training
+  DESTINATION lib
+  INCLUDES
+  DESTINATION ${_common_include_directories}
+)
diff --git a/extension/training/README.md b/extension/training/README.md
new file mode 100644
index 0000000000..17e5f91f07
--- /dev/null
+++ b/extension/training/README.md
@@ -0,0 +1,277 @@
+# ExecuTorch On-device Training
+
+This subtree contains infrastructure to facilitate on-device training using ExecuTorch.
+This feature is experimental and under heavy active development, all the APIs are
+subject to change and many things may not work out of the box or at all in the
+current state.
+
+## Layout
+- `examples/` : Example end to end flows from model definition to optimizer.step()
+- `module/`: Utility class to provide an improved UX when using ExecuTorch for Training.
+- `optimizer/`: Cpp implementations of various optimizers, currently only SGD though Adam is planned.
+- `test/`: Tests that cover multiple subdirs.
+
+## Technical Birds Eye view
+
+At a high level ExecuTorch training follows a similar flow to inference with a few extra steps.
+
+Instead of relying on autograd at runtime to dynamically generate the backward graph and then walk it,
+we capture the backward graph ahead of time. This lets us be a lot leaner on-device as well as
+letting backends have more direct control over more of the model execution. Currently the optimizer is not
+captured though this may change over time.
+
+Loss functions must be embedded inside the model definition (and be the first output) this is used during
+capture to generate the backwards graph.
+
+Gradients become explicit graph outputs rather then hidden tensor state.
+
+Since the weights now need to be mutable during execution, they are memory planned ahead of time and copied
+from the .pte into the HeirarchicalAllocator arenas during Method init.
+
+Integration with backends/delegates is still a work in progress.
+
+
+## End to End Example
+
+To further understand the features of ExecuTorch Training and how to leverage it,
+consider the following end to end example with a neural network learning the XOR function.
+
+### Lowering a joint-graph model to ExecuTorch
+
+After following the [setting up ExecuTorch] guide. You can run
+
+```bash
+python3 extension/training/examples/XOR/export_model.py --outdir /tmp/foobar
+```
+to generate the model file. Below is a walkthrough of how that script works.
+
+First lets define our model.
+```python
+import torch.nn as nn
+from torch.nn import functional as F
+
+from torch.export import export
+from torch.export.experimental import _export_forward_backward
+
+
+# Basic Net for XOR
+class Net(nn.Module):
+    def __init__(self):
+        super().__init__()
+        self.linear = nn.Linear(2, 10)
+        self.linear2 = nn.Linear(10, 2)
+
+    def forward(self, x):
+        return self.linear2(F.sigmoid(self.linear(x)))
+```
+
+The first big difference from the normal ExecuTorch flow is that for training we must embed
+the loss function into model and return the loss as our first output.
+
+We don't want to modify the original model definition so we will just wrap it.
+
+```python
+class TrainingNet(nn.Module):
+    def __init__(self, net):
+        super().__init__()
+        self.net = net
+        self.loss = nn.CrossEntropyLoss()
+
+    def forward(self, input, label):
+        pred = self.net(input)
+        return self.loss(pred, label), pred.detach().argmax(dim=1)
+```
+
+Now that we have our model we can lower it to ExecuTorch. To do that we just have to follow
+a few simple steps.
+
+```python
+net = TrainingNet(Net())
+
+# Create our inputs, only the shapes of these matter.
+input = torch.randn(1, 2)
+label = torch.ones(1, dtype=torch.int64)
+
+# Captures the forward graph. The graph will look similar to the model definition now.
+# Will move to export_for_training soon which is the api planned to be supported in the long term.
+ep = export(net, (input, label))
+```
+
+This is what the graph looks like after export
+```python
+>>>print(ep.graph_module.graph)
+
+graph():
+    %p_net_linear_weight : [num_users=1] = placeholder[target=p_net_linear_weight]
+    %p_net_linear_bias : [num_users=1] = placeholder[target=p_net_linear_bias]
+    %p_net_linear2_weight : [num_users=1] = placeholder[target=p_net_linear2_weight]
+    %p_net_linear2_bias : [num_users=1] = placeholder[target=p_net_linear2_bias]
+    %input : [num_users=1] = placeholder[target=input]
+    %label : [num_users=1] = placeholder[target=label]
+    %linear : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%input, %p_net_linear_weight, %p_net_linear_bias), kwargs = {})
+    %sigmoid : [num_users=1] = call_function[target=torch.ops.aten.sigmoid.default](args = (%linear,), kwargs = {})
+    %linear_1 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%sigmoid, %p_net_linear2_weight, %p_net_linear2_bias), kwargs = {})
+    %cross_entropy_loss : [num_users=1] = call_function[target=torch.ops.aten.cross_entropy_loss.default](args = (%linear_1, %label), kwargs = {})
+    %detach : [num_users=1] = call_function[target=torch.ops.aten.detach.default](args = (%linear_1,), kwargs = {})
+    %argmax : [num_users=1] = call_function[target=torch.ops.aten.argmax.default](args = (%detach, 1), kwargs = {})
+    return (cross_entropy_loss, argmax)
+```
+
+It should look pretty similar to our model's forward function. Now we need to capture the backwards graph.
+
+```python
+ep = _export_forward_backward(ep)
+```
+
+and now the graph is
+
+```python
+>>>print(ep.graph_module.graph)
+
+graph():
+    %p_net_linear_weight : [num_users=1] = placeholder[target=p_net_linear_weight]
+    %p_net_linear_bias : [num_users=1] = placeholder[target=p_net_linear_bias]
+    %p_net_linear2_weight : [num_users=1] = placeholder[target=p_net_linear2_weight]
+    %p_net_linear2_bias : [num_users=1] = placeholder[target=p_net_linear2_bias]
+    %input : [num_users=2] = placeholder[target=input]
+    %label : [num_users=5] = placeholder[target=label]
+    %permute : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%p_net_linear_weight, [1, 0]), kwargs = {})
+    %addmm : [num_users=1] = call_function[target=torch.ops.aten.addmm.default](args = (%p_net_linear_bias, %input, %permute), kwargs = {})
+    %sigmoid : [num_users=3] = call_function[target=torch.ops.aten.sigmoid.default](args = (%addmm,), kwargs = {})
+    %alias : [num_users=1] = call_function[target=torch.ops.aten.alias.default](args = (%sigmoid,), kwargs = {})
+    %alias_1 : [num_users=1] = call_function[target=torch.ops.aten.alias.default](args = (%alias,), kwargs = {})
+    %permute_1 : [num_users=2] = call_function[target=torch.ops.aten.permute.default](args = (%p_net_linear2_weight, [1, 0]), kwargs = {})
+    %addmm_1 : [num_users=2] = call_function[target=torch.ops.aten.addmm.default](args = (%p_net_linear2_bias, %sigmoid, %permute_1), kwargs = {})
+    %_log_softmax : [num_users=3] = call_function[target=torch.ops.aten._log_softmax.default](args = (%addmm_1, 1, False), kwargs = {})
+    %alias_2 : [num_users=1] = call_function[target=torch.ops.aten.alias.default](args = (%_log_softmax,), kwargs = {})
+    %alias_3 : [num_users=1] = call_function[target=torch.ops.aten.alias.default](args = (%alias_2,), kwargs = {})
+    %ne : [num_users=1] = call_function[target=torch.ops.aten.ne.Scalar](args = (%label, -100), kwargs = {})
+    %scalar_tensor : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (0,), kwargs = {dtype: torch.int64, layout: torch.strided, device: cpu})
+    %where : [num_users=1] = call_function[target=torch.ops.aten.where.self](args = (%ne, %label, %scalar_tensor), kwargs = {})
+    %unsqueeze : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%where, 1), kwargs = {})
+    %gather : [num_users=1] = call_function[target=torch.ops.aten.gather.default](args = (%_log_softmax, 1, %unsqueeze), kwargs = {})
+    %squeeze : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dims](args = (%gather, [1]), kwargs = {})
+    %neg : [num_users=1] = call_function[target=torch.ops.aten.neg.default](args = (%squeeze,), kwargs = {})
+    %ne_1 : [num_users=1] = call_function[target=torch.ops.aten.ne.Scalar](args = (%label, -100), kwargs = {})
+    %scalar_tensor_1 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (0,), kwargs = {dtype: torch.float32, layout: torch.strided, device: cpu})
+    %where_1 : [num_users=1] = call_function[target=torch.ops.aten.where.self](args = (%ne_1, %neg, %scalar_tensor_1), kwargs = {})
+    %ne_2 : [num_users=1] = call_function[target=torch.ops.aten.ne.Scalar](args = (%label, -100), kwargs = {})
+    %sum_1 : [num_users=1] = call_function[target=torch.ops.aten.sum.dim_IntList](args = (%ne_2, []), kwargs = {})
+    %_to_copy : [num_users=2] = call_function[target=torch.ops.aten._to_copy.default](args = (%sum_1,), kwargs = {dtype: torch.float32, device: cpu})
+    %sum_2 : [num_users=1] = call_function[target=torch.ops.aten.sum.dim_IntList](args = (%where_1, []), kwargs = {})
+    %div : [num_users=2] = call_function[target=torch.ops.aten.div.Tensor](args = (%sum_2, %_to_copy), kwargs = {})
+    %alias_4 : [num_users=1] = call_function[target=torch.ops.aten.alias.default](args = (%addmm_1,), kwargs = {})
+    %alias_5 : [num_users=1] = call_function[target=torch.ops.aten.alias.default](args = (%alias_4,), kwargs = {})
+    %alias_6 : [num_users=1] = call_function[target=torch.ops.aten.alias.default](args = (%alias_5,), kwargs = {})
+    %argmax : [num_users=1] = call_function[target=torch.ops.aten.argmax.default](args = (%alias_6, 1), kwargs = {})
+    %full_like : [num_users=1] = call_function[target=torch.ops.aten.full_like.default](args = (%div, 1), kwargs = {pin_memory: False, memory_format: torch.preserve_format})
+    %div_1 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%full_like, %_to_copy), kwargs = {})
+    %unsqueeze_1 : [num_users=3] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%label, 1), kwargs = {})
+    %ne_3 : [num_users=1] = call_function[target=torch.ops.aten.ne.Scalar](args = (%unsqueeze_1, -100), kwargs = {})
+    %scalar_tensor_2 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (0,), kwargs = {dtype: torch.int64, layout: torch.strided, device: cpu})
+    %where_2 : [num_users=1] = call_function[target=torch.ops.aten.where.self](args = (%ne_3, %unsqueeze_1, %scalar_tensor_2), kwargs = {})
+    %full_like_1 : [num_users=1] = call_function[target=torch.ops.aten.full_like.default](args = (%_log_softmax, 0), kwargs = {pin_memory: False, memory_format: torch.preserve_format})
+    %scatter : [num_users=1] = call_function[target=torch.ops.aten.scatter.value](args = (%full_like_1, 1, %where_2, -1.0), kwargs = {})
+    %ne_4 : [num_users=1] = call_function[target=torch.ops.aten.ne.Scalar](args = (%unsqueeze_1, -100), kwargs = {})
+    %scalar_tensor_3 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (0,), kwargs = {dtype: torch.float32, layout: torch.strided, device: cpu})
+    %where_3 : [num_users=1] = call_function[target=torch.ops.aten.where.self](args = (%ne_4, %div_1, %scalar_tensor_3), kwargs = {})
+    %mul : [num_users=2] = call_function[target=torch.ops.aten.mul.Tensor](args = (%scatter, %where_3), kwargs = {})
+    %alias_7 : [num_users=1] = call_function[target=torch.ops.aten.alias.default](args = (%alias_3,), kwargs = {})
+    %alias_8 : [num_users=1] = call_function[target=torch.ops.aten.alias.default](args = (%alias_7,), kwargs = {})
+    %exp : [num_users=1] = call_function[target=torch.ops.aten.exp.default](args = (%alias_8,), kwargs = {})
+    %sum_3 : [num_users=1] = call_function[target=torch.ops.aten.sum.dim_IntList](args = (%mul, [1], True), kwargs = {})
+    %mul_1 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%exp, %sum_3), kwargs = {})
+    %sub : [num_users=3] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul, %mul_1), kwargs = {})
+    %permute_2 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%permute_1, [1, 0]), kwargs = {})
+    %mm : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%sub, %permute_2), kwargs = {})
+    %permute_3 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%sub, [1, 0]), kwargs = {})
+    %mm_1 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%permute_3, %sigmoid), kwargs = {})
+    %permute_4 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%mm_1, [1, 0]), kwargs = {})
+    %sum_4 : [num_users=1] = call_function[target=torch.ops.aten.sum.dim_IntList](args = (%sub, [0], True), kwargs = {})
+    %view : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%sum_4, [2]), kwargs = {})
+    %permute_5 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%permute_4, [1, 0]), kwargs = {})
+    %alias_9 : [num_users=1] = call_function[target=torch.ops.aten.alias.default](args = (%alias_1,), kwargs = {})
+    %alias_10 : [num_users=2] = call_function[target=torch.ops.aten.alias.default](args = (%alias_9,), kwargs = {})
+    %sub_1 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (1, %alias_10), kwargs = {})
+    %mul_2 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%alias_10, %sub_1), kwargs = {})
+    %mul_3 : [num_users=2] = call_function[target=torch.ops.aten.mul.Tensor](args = (%mm, %mul_2), kwargs = {})
+    %permute_6 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%mul_3, [1, 0]), kwargs = {})
+    %mm_2 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%permute_6, %input), kwargs = {})
+    %permute_7 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%mm_2, [1, 0]), kwargs = {})
+    %sum_5 : [num_users=1] = call_function[target=torch.ops.aten.sum.dim_IntList](args = (%mul_3, [0], True), kwargs = {})
+    %view_1 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%sum_5, [10]), kwargs = {})
+    %permute_8 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%permute_7, [1, 0]), kwargs = {})
+    return (div, argmax, permute_8, view_1, permute_5, view)
+```
+
+Its a lot bigger! We call this the 'joint graph' or the 'forwards backwards graph'. We have explicitly captured the backwards graph
+alongside the forward and now our model returns [Loss, Any other user outputs, Gradients].
+
+From here we can lower the rest of the way to ExecuTorch
+```python
+ep = to_edge(ep)
+
+# After calling to_executorch the weights themselves are also appended to the model outputs. This is to make
+# some downstream passes like memory planning a little easier. A couple of hidden utility functions are also
+# embedded in the model __et_training_gradients_index_<method_name>,
+# __et_training_parameters_index_<method_name>, __et_training_fqn_<method_name>.
+#
+# These help us partition the huge list of model outputs into meaningful sections as well as assign names to each weight/gradient.
+ep = ep.to_executorch()
+
+with open("xor.pte", "wb") as file:
+    ep.write_to_file(file)
+```
+
+### Run the model train script with CMAKE
+After exporting the model for training, we can now try learning using CMake. We can build and use the train_xor, which is a sample wrapper for the ExecuTorch Runtime, TrainingModule, and SGD optimizer. We first begin by configuring the CMake build like such:
+```bash
+# cd to the root of executorch repo
+cd executorch
+
+# Get a clean cmake-out directory
+rm -rf cmake-out
+mkdir cmake-out
+
+# Configure cmake
+cmake \
+    -DCMAKE_INSTALL_PREFIX=cmake-out \
+    -DCMAKE_BUILD_TYPE=Release \
+    -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_TRAINING=ON \
+    -DEXECUTORCH_ENABLE_LOGGING=ON \
+    -DPYTHON_EXECUTABLE=python \
+    -Bcmake-out .
+```
+Then you can build the runtime componenets with
+
+```bash
+cmake --build cmake-out -j9 --target install --config Release
+```
+
+Now you should be able to find the executable built at `./cmake-out/extension/training/train_xor` you can run the executable with the model you generated as such
+```bash
+./cmake-out/extension/training/train_xor --model_path=./xor.pte
+```
+
+## What is missing?/ What is next?
+A ton! ExecuTorch training is still quite experimental and under heavy active development. Whats here currently is more of a technical preview.
+
+The _export_forward_backward is not very stable yet and may fail on more complicated model architectures, though we have verified it works for LoRA with LLMs.
+
+The ExecuTorch portable operator lib does not yet have full coverage of ops that might show up in the backwards graphs.
+
+We don't have a way yet to serialize the newly trained weights natively in ExecuTorch (though you can convert them to ATen tensors using extension/aten_util and then serialize them using ATen APIs).
+
+We plan to add a way to update models in place on-device (will be needed for finetuning).
+
+We are looking to integrate with many of the existing delegates/backends on ET enabling accelerated training.
+
+and so much more!
+
+## Help & Improvements
+If you have problems or questions, or have suggestions for ways to make
+implementation and testing better, please reach out to the PyTorch Edge team or
+create an issue on [github](https://www.github.com/pytorch/executorch/issues).
diff --git a/extension/training/__init__.py b/extension/training/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/extension/training/examples/XOR/TARGETS b/extension/training/examples/XOR/TARGETS
new file mode 100644
index 0000000000..2341af9282
--- /dev/null
+++ b/extension/training/examples/XOR/TARGETS
@@ -0,0 +1,8 @@
+# Any targets that should be shared between fbcode and xplat must be defined in
+# targets.bzl. This file can contain fbcode-only targets.
+
+load(":targets.bzl", "define_common_targets")
+
+oncall("executorch")
+
+define_common_targets()
diff --git a/extension/training/examples/XOR/export_model.py b/extension/training/examples/XOR/export_model.py
new file mode 100644
index 0000000000..3089cea211
--- /dev/null
+++ b/extension/training/examples/XOR/export_model.py
@@ -0,0 +1,58 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+
+import argparse
+
+import os
+
+import torch
+from executorch.exir import to_edge
+
+from executorch.extension.training.examples.XOR.model import Net, TrainingNet
+from torch.export import export
+from torch.export.experimental import _export_forward_backward
+
+
+def main() -> None:
+    torch.manual_seed(0)
+    parser = argparse.ArgumentParser(
+        prog="export_model",
+        description="Exports an nn.Module model to ExecuTorch .pte files",
+    )
+    parser.add_argument(
+        "--outdir",
+        type=str,
+        required=True,
+        help="Path to the directory to write xor.pte files to",
+    )
+    args = parser.parse_args()
+
+    net = TrainingNet(Net())
+    x = torch.randn(1, 2)
+
+    # Captures the forward graph. The graph will look similar to the model definition now.
+    # Will move to export_for_training soon which is the api planned to be supported in the long term.
+    ep = export(net, (x, torch.ones(1, dtype=torch.int64)))
+    # Captures the backward graph. The exported_program now contains the joint forward and backward graph.
+    ep = _export_forward_backward(ep)
+    # Lower the graph to edge dialect.
+    ep = to_edge(ep)
+    # Lower the graph to executorch.
+    ep = ep.to_executorch()
+
+    # Write out the .pte file.
+    os.makedirs(args.outdir, exist_ok=True)
+    outfile = os.path.join(args.outdir, "xor.pte")
+    with open(outfile, "wb") as fp:
+        fp.write(
+            ep.buffer,
+        )
+
+
+if __name__ == "__main__":
+    main()
diff --git a/extension/training/examples/XOR/model.py b/extension/training/examples/XOR/model.py
new file mode 100644
index 0000000000..3c84238e7c
--- /dev/null
+++ b/extension/training/examples/XOR/model.py
@@ -0,0 +1,34 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
+
+import torch.nn as nn
+from torch.nn import functional as F
+
+
+# Basic Net for XOR
+class Net(nn.Module):
+    def __init__(self):
+        super().__init__()
+        self.linear = nn.Linear(2, 10)
+        self.linear2 = nn.Linear(10, 2)
+
+    def forward(self, x):
+        return self.linear2(F.sigmoid(self.linear(x)))
+
+
+# On device training requires the loss to be embedded in the model (and be the first output).
+# We wrap the original model here and add the loss calculation. This will be the model we export.
+class TrainingNet(nn.Module):
+    def __init__(self, net):
+        super().__init__()
+        self.net = net
+        self.loss = nn.CrossEntropyLoss()
+
+    def forward(self, input, label):
+        pred = self.net(input)
+        return self.loss(pred, label), pred.detach().argmax(dim=1)
diff --git a/extension/training/examples/XOR/targets.bzl b/extension/training/examples/XOR/targets.bzl
new file mode 100644
index 0000000000..ccd7f4bf6f
--- /dev/null
+++ b/extension/training/examples/XOR/targets.bzl
@@ -0,0 +1,51 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+
+    runtime.cxx_binary(
+        name = "train_xor",
+        srcs = ["train.cpp"],
+        deps = [
+            "//executorch/extension/training/module:training_module",
+            "//executorch/extension/tensor:tensor",
+            "//executorch/extension/training/optimizer:sgd",
+            "//executorch/runtime/executor:program",
+            "//executorch/extension/data_loader:file_data_loader",
+            "//executorch/kernels/portable:generated_lib",
+        ],
+        external_deps = ["gflags"],
+        define_static_target = True,
+    )
+
+    runtime.python_library(
+        name = "model",
+        srcs = ["model.py"],
+        visibility = [],  # Private
+        deps = [
+            "//caffe2:torch",
+        ],
+    )
+
+    runtime.python_library(
+        name = "export_model_lib",
+        srcs = ["export_model.py"],
+        visibility = [],
+        deps = [
+            ":model",
+            "//caffe2:torch",
+            "//executorch/exir:lib",
+        ],
+    )
+
+    runtime.python_binary(
+        name = "export_model",
+        main_module = "executorch.extension.training.examples.XOR.export_model",
+        deps = [
+            ":export_model_lib",
+        ],
+    )
diff --git a/extension/training/examples/XOR/train.cpp b/extension/training/examples/XOR/train.cpp
new file mode 100644
index 0000000000..26ab3f9c67
--- /dev/null
+++ b/extension/training/examples/XOR/train.cpp
@@ -0,0 +1,108 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/extension/data_loader/file_data_loader.h>
+#include <executorch/extension/tensor/tensor.h>
+#include <executorch/extension/training/module/training_module.h>
+#include <executorch/extension/training/optimizer/sgd.h>
+#include <gflags/gflags.h>
+#include <random>
+
+#pragma clang diagnostic ignored \
+    "-Wbraced-scalar-init" // {0} below upsets clang.
+
+using executorch::extension::FileDataLoader;
+using executorch::extension::training::optimizer::SGD;
+using executorch::extension::training::optimizer::SGDOptions;
+using executorch::runtime::Error;
+using executorch::runtime::Result;
+DEFINE_string(model_path, "xor.pte", "Model serialized in flatbuffer format.");
+
+int main(int argc, char** argv) {
+  gflags::ParseCommandLineFlags(&argc, &argv, true);
+  if (argc != 1) {
+    std::string msg = "Extra commandline args: ";
+    for (int i = 1 /* skip argv[0] (program name) */; i < argc; i++) {
+      msg += argv[i];
+    }
+    ET_LOG(Error, "%s", msg.c_str());
+    return 1;
+  }
+
+  // Load the model file.
+  executorch::runtime::Result<executorch::extension::FileDataLoader>
+      loader_res =
+          executorch::extension::FileDataLoader::from(FLAGS_model_path.c_str());
+  if (loader_res.error() != Error::Ok) {
+    ET_LOG(Error, "Failed to open model file: %s", FLAGS_model_path.c_str());
+    return 1;
+  }
+  auto loader = std::make_unique<executorch::extension::FileDataLoader>(
+      std::move(loader_res.get()));
+
+  auto mod = executorch::extension::training::TrainingModule(std::move(loader));
+
+  // Create full data set of input and labels.
+  std::vector<std::pair<
+      executorch::extension::TensorPtr,
+      executorch::extension::TensorPtr>>
+      data_set;
+  data_set.push_back( // XOR(1, 1) = 0
+      {executorch::extension::make_tensor_ptr<float>({1, 2}, {1, 1}),
+       executorch::extension::make_tensor_ptr<int64_t>({1}, {0})});
+  data_set.push_back( // XOR(0, 0) = 0
+      {executorch::extension::make_tensor_ptr<float>({1, 2}, {0, 0}),
+       executorch::extension::make_tensor_ptr<int64_t>({1}, {0})});
+  data_set.push_back( // XOR(1, 0) = 1
+      {executorch::extension::make_tensor_ptr<float>({1, 2}, {1, 0}),
+       executorch::extension::make_tensor_ptr<int64_t>({1}, {1})});
+  data_set.push_back( // XOR(0, 1) = 1
+      {executorch::extension::make_tensor_ptr<float>({1, 2}, {0, 1}),
+       executorch::extension::make_tensor_ptr<int64_t>({1}, {1})});
+
+  // Create optimizer.
+  // Get the params and names
+  auto param_res = mod.named_parameters("forward");
+  if (param_res.error() != Error::Ok) {
+    ET_LOG(Error, "Failed to get named parameters");
+    return 1;
+  }
+
+  SGDOptions options{0.1};
+  SGD optimizer(param_res.get(), options);
+
+  // Randomness to sample the data set.
+  std::default_random_engine URBG{std::random_device{}()};
+  std::uniform_int_distribution<int> dist{
+      0, static_cast<int>(data_set.size()) - 1};
+
+  // Train the model.
+  size_t num_epochs = 5000;
+  for (int i = 0; i < num_epochs; i++) {
+    int index = dist(URBG);
+    auto& data = data_set[index];
+    const auto& results = mod.execute_forward_backward(
+        "forward", {*data.first.get(), *data.second.get()});
+    if (results.error() != Error::Ok) {
+      ET_LOG(Error, "Failed to execute forward_backward");
+      return 1;
+    }
+    if (i % 500 == 0 || i == num_epochs - 1) {
+      ET_LOG(
+          Info,
+          "Step %d, Loss %f, Input [%.0f, %.0f], Prediction %ld, Label %ld",
+          i,
+          results.get()[0].toTensor().const_data_ptr<float>()[0],
+          data.first->const_data_ptr<float>()[0],
+          data.first->const_data_ptr<float>()[1],
+          results.get()[1].toTensor().const_data_ptr<int64_t>()[0],
+          data.second->const_data_ptr<int64_t>()[0]);
+    }
+    optimizer.step(mod.named_gradients("forward").get());
+  }
+}
diff --git a/extension/training/module/TARGETS b/extension/training/module/TARGETS
new file mode 100644
index 0000000000..2341af9282
--- /dev/null
+++ b/extension/training/module/TARGETS
@@ -0,0 +1,8 @@
+# Any targets that should be shared between fbcode and xplat must be defined in
+# targets.bzl. This file can contain fbcode-only targets.
+
+load(":targets.bzl", "define_common_targets")
+
+oncall("executorch")
+
+define_common_targets()
diff --git a/extension/training/module/targets.bzl b/extension/training/module/targets.bzl
new file mode 100644
index 0000000000..88da84ed13
--- /dev/null
+++ b/extension/training/module/targets.bzl
@@ -0,0 +1,28 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+
+    for aten_mode in (True, False):
+        aten_suffix = ("_aten" if aten_mode else "")
+
+        runtime.cxx_library(
+            name = "training_module" + aten_suffix,
+            srcs = [
+                "training_module.cpp",
+            ],
+            exported_headers = [
+                "training_module.h",
+            ],
+            visibility = [
+                "@EXECUTORCH_CLIENTS",
+            ],
+            exported_deps = [
+                "//executorch/extension/module:module" + aten_suffix,
+                "//executorch/runtime/core:evalue" + aten_suffix,
+            ],
+        )
diff --git a/extension/training/module/test/TARGETS b/extension/training/module/test/TARGETS
new file mode 100644
index 0000000000..a6c52d105f
--- /dev/null
+++ b/extension/training/module/test/TARGETS
@@ -0,0 +1,8 @@
+# Any targets that should be shared between fbcode and xplat must be defined in
+# targets.bzl. This file can contain fbcode-only targets.
+
+load(":targets.bzl", "define_common_targets")
+
+oncall("executorch")
+
+define_common_targets(is_fbcode = True)
diff --git a/extension/training/module/test/targets.bzl b/extension/training/module/test/targets.bzl
new file mode 100644
index 0000000000..8b260e2a7e
--- /dev/null
+++ b/extension/training/module/test/targets.bzl
@@ -0,0 +1,34 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets(is_fbcode = False):
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+
+    # TODO(dbort): Find a way to make these run for ANDROID/APPLE in xplat. The
+    # android and ios test determinators don't like the reference to the model
+    # file in fbcode. See https://fburl.com/9esapdmd
+    if not runtime.is_oss and is_fbcode:
+        modules_env = {
+            # The tests use this var to find the program file to load. This uses
+            # an fbcode target path because the authoring/export tools
+            # intentionally don't work in xplat (since they're host-only tools).
+            "ET_MODULE_ADD_PATH": "$(location fbcode//executorch/test/models:exported_programs[ModuleAdd.pte])",
+            "ET_MODULE_SIMPLE_TRAIN_PATH": "$(location fbcode//executorch/test/models:exported_programs[ModuleSimpleTrain.pte])",
+        }
+
+        runtime.cxx_test(
+            name = "training_module_test",
+            srcs = [
+                "training_module_test.cpp",
+            ],
+            deps = [
+                "//executorch/extension/training/module:training_module",
+                "//executorch/extension/data_loader:file_data_loader",
+                "//executorch/runtime/core/exec_aten/testing_util:tensor_util",
+                "//executorch/kernels/portable:generated_lib",
+            ],
+            env = modules_env,
+        )
diff --git a/extension/training/module/test/training_module_test.cpp b/extension/training/module/test/training_module_test.cpp
new file mode 100644
index 0000000000..58631c4cf4
--- /dev/null
+++ b/extension/training/module/test/training_module_test.cpp
@@ -0,0 +1,107 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/extension/data_loader/file_data_loader.h>
+#include <executorch/extension/training/module/training_module.h>
+
+#include <executorch/runtime/core/exec_aten/testing_util/tensor_factory.h>
+#include <executorch/runtime/platform/runtime.h>
+#include <gtest/gtest.h>
+
+// @lint-ignore-every CLANGTIDY facebook-hte-CArray
+
+using namespace ::testing;
+using exec_aten::ScalarType;
+using exec_aten::Tensor;
+using torch::executor::Error;
+using torch::executor::Span;
+using torch::executor::testing::TensorFactory;
+
+class TrainingModuleTest : public ::testing::Test {
+ protected:
+  void SetUp() override {
+    torch::executor::runtime_init();
+  }
+};
+
+TEST_F(TrainingModuleTest, JointGraphTest) {
+  // Create a loader for the serialized ModuleAdd program.
+  const char* path = std::getenv("ET_MODULE_SIMPLE_TRAIN_PATH");
+  executorch::runtime::Result<torch::executor::util::FileDataLoader>
+      loader_res = torch::executor::util::FileDataLoader::from(path);
+  ASSERT_EQ(loader_res.error(), Error::Ok);
+  auto loader = std::make_unique<torch::executor::util::FileDataLoader>(
+      std::move(loader_res.get()));
+
+  auto mod = executorch::extension::training::TrainingModule(std::move(loader));
+
+  TensorFactory<ScalarType::Float> tf;
+  Tensor input = tf.make({3}, {1.0, 1.0, 1.0});
+  Tensor label = tf.make({3}, {1.0, 0.0, 0.0});
+
+  std::vector<executorch::runtime::EValue> inputs;
+  inputs.push_back(input);
+  inputs.push_back(label);
+
+  auto res = mod.execute_forward_backward("forward", inputs);
+  ASSERT_EQ(res.error(), Error::Ok);
+  ASSERT_EQ(res.get().size(), 1);
+
+  // Test Gradients
+  auto grad_res = mod.named_gradients("forward");
+  ASSERT_EQ(grad_res.error(), Error::Ok);
+  auto& grad = grad_res.get();
+  ASSERT_EQ(grad.size(), 2);
+  ASSERT_NE(grad.find("linear.weight"), grad.end());
+  ASSERT_NE(grad.find("linear.bias"), grad.end());
+
+  ASSERT_EQ(grad.find("linear.weight")->second.sizes()[0], 3);
+  ASSERT_EQ(grad.find("linear.weight")->second.sizes()[1], 3);
+  ASSERT_EQ(grad.find("linear.weight")->second.dim(), 2);
+  ASSERT_EQ(grad.find("linear.bias")->second.sizes()[0], 3);
+  ASSERT_EQ(grad.find("linear.bias")->second.dim(), 1);
+
+  // Test Parameters
+  auto param_res = mod.named_parameters("forward");
+  ASSERT_EQ(param_res.error(), Error::Ok);
+  auto& param = grad_res.get();
+  ASSERT_EQ(param.size(), 2);
+  ASSERT_NE(param.find("linear.weight"), grad.end());
+  ASSERT_NE(param.find("linear.bias"), grad.end());
+
+  ASSERT_EQ(param.find("linear.weight")->second.sizes()[0], 3);
+  ASSERT_EQ(param.find("linear.weight")->second.sizes()[1], 3);
+  ASSERT_EQ(param.find("linear.weight")->second.dim(), 2);
+  ASSERT_EQ(param.find("linear.bias")->second.sizes()[0], 3);
+  ASSERT_EQ(param.find("linear.bias")->second.dim(), 1);
+}
+
+TEST_F(TrainingModuleTest, NonTrainingModuleTest) {
+  // Create a loader for the serialized ModuleAdd program.
+  const char* path = std::getenv("ET_MODULE_ADD_PATH");
+  executorch::runtime::Result<torch::executor::util::FileDataLoader>
+      loader_res = torch::executor::util::FileDataLoader::from(path);
+  ASSERT_EQ(loader_res.error(), Error::Ok);
+  auto loader = std::make_unique<torch::executor::util::FileDataLoader>(
+      std::move(loader_res.get()));
+
+  auto mod = executorch::extension::training::TrainingModule(std::move(loader));
+
+  TensorFactory<ScalarType::Float> tf;
+  Tensor input = tf.make({2, 2}, {1.0, 1.0, 1.0, 1.0});
+  Tensor input2 = tf.make({2, 2}, {1.0, 0.0, 0.0, 0.0});
+
+  std::vector<executorch::runtime::EValue> inputs;
+  inputs.push_back(input);
+  inputs.push_back(input2);
+
+  // Non-training module should fail to execute forward/backward as it cant find
+  // the gradients or params.
+  auto res = mod.execute_forward_backward("forward", inputs);
+  ASSERT_EQ(res.error(), Error::InvalidArgument);
+}
diff --git a/extension/training/module/training_module.cpp b/extension/training/module/training_module.cpp
new file mode 100644
index 0000000000..28128552e2
--- /dev/null
+++ b/extension/training/module/training_module.cpp
@@ -0,0 +1,139 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/extension/training/module/training_module.h>
+
+namespace executorch {
+namespace extension {
+namespace training {
+
+namespace {
+std::string gradients_method_prefix = "__et_training_gradients_index_";
+std::string parameters_method_prefix = "__et_training_parameters_index_";
+std::string fqn_method_prefix = "__et_training_fqn_";
+} // namespace
+
+runtime::Result<std::vector<runtime::EValue>>
+TrainingModule::execute_forward_backward(
+    const std::string& method_name,
+    const std::vector<runtime::EValue>& input) {
+  // Find where the user outputs end.
+  const std::string gradients_method_name =
+      gradients_method_prefix + method_name;
+  auto res = executorch::extension::Module::execute(gradients_method_name);
+  if (!res.ok()) {
+    return res.error();
+  }
+  uint64_t grad_start = res.get()[0].toInt();
+
+  const std::string parameters_method_name =
+      parameters_method_prefix + method_name;
+  // get params start.
+  auto param_res =
+      executorch::extension::Module::execute(parameters_method_name);
+  if (!param_res.ok()) {
+    return param_res.error();
+  }
+
+  uint64_t param_start = param_res.get()[0].toInt();
+
+  // Execute the forward and backward pass.
+
+  auto outputs = torch::executor::Module::execute(method_name, input);
+  if (!outputs.ok()) {
+    return outputs.error();
+  }
+
+  // Extract the user outputs.
+  std::vector<runtime::EValue> user_outputs;
+  user_outputs.reserve(grad_start);
+  for (size_t i = 0; i < grad_start; ++i) {
+    user_outputs.push_back(outputs.get().at(i));
+  }
+
+  // Extract and store the gradients.
+  if (method_named_gradients_.find(method_name) ==
+      method_named_gradients_.end()) {
+    method_named_gradients_.insert({method_name, {}});
+
+    auto& gradients_map = method_named_gradients_.at(method_name);
+    // Get names.
+    const std::string fqn_method_name = fqn_method_prefix + method_name;
+    auto fqn_res = executorch::extension::Module::execute(fqn_method_name);
+    if (!fqn_res.ok()) {
+      return fqn_res.error();
+    }
+    const auto& fqn_list = fqn_res.get();
+
+    // Only have to initialize the dict once because the tensors in the dict and
+    // the tensors in the method alias the same TensorImpl, so updating one will
+    // update the other.
+    size_t name_index = 0;
+    for (size_t grad_index = grad_start; grad_index < param_start;
+         ++grad_index, ++name_index) {
+      exec_aten::string_view fqn = fqn_list.at(name_index).toString();
+      gradients_map.insert({fqn, outputs.get().at(grad_index).toTensor()});
+    }
+  }
+
+  return user_outputs;
+}
+
+runtime::Result<const std::map<exec_aten::string_view, exec_aten::Tensor>>
+TrainingModule::named_parameters(const std::string& method_name) {
+  std::map<exec_aten::string_view, exec_aten::Tensor> named_parameters;
+  const std::string fqn_method_name = fqn_method_prefix + method_name;
+  const std::string parameters_method_name =
+      parameters_method_prefix + method_name;
+
+  // get names.
+  auto fqn_res = executorch::extension::Module::execute(fqn_method_name);
+  if (!fqn_res.ok()) {
+    return fqn_res.error();
+  }
+  const auto& fqn_list = fqn_res.get();
+
+  // get params start.
+  auto param_res =
+      executorch::extension::Module::execute(parameters_method_name);
+  if (!param_res.ok()) {
+    return param_res.error();
+  }
+
+  uint64_t param_start = param_res.get()[0].toInt();
+
+  auto e = executorch::extension::Module::load_method(method_name);
+  if (e != runtime::Error::Ok) {
+    return e;
+  }
+  auto& method = methods_.at(method_name).method;
+
+  // create dict
+  size_t name_index = 0;
+  for (size_t param_index = param_start; param_index < method->outputs_size();
+       ++param_index, ++name_index) {
+    exec_aten::string_view fqn = fqn_list.at(name_index).toString();
+    exec_aten::Tensor param = method->get_output(param_index).toTensor();
+    named_parameters.insert({fqn, param});
+  }
+  return named_parameters;
+}
+
+runtime::Result<const std::map<exec_aten::string_view, exec_aten::Tensor>>
+TrainingModule::named_gradients(const std::string& method_name) {
+  if (method_named_gradients_.find(method_name) ==
+      method_named_gradients_.end()) {
+    ET_LOG(Error, "No gradients found for method %s", method_name.c_str());
+    return executorch::runtime::Error::InvalidArgument;
+  }
+  return method_named_gradients_.at(method_name);
+}
+
+} // namespace training
+} // namespace extension
+} // namespace executorch
diff --git a/extension/training/module/training_module.h b/extension/training/module/training_module.h
new file mode 100644
index 0000000000..ade3f6f2f4
--- /dev/null
+++ b/extension/training/module/training_module.h
@@ -0,0 +1,101 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <map>
+#include <memory>
+#include <string>
+#include <unordered_map>
+#include <vector>
+
+#include <executorch/extension/module/module.h>
+#include <executorch/runtime/core/evalue.h>
+#include <executorch/runtime/executor/program.h>
+
+namespace executorch {
+namespace extension {
+namespace training {
+
+/**
+ * A facade class for loading programs for on-device training and executing
+ * methods within them.
+ */
+class ET_EXPERIMENTAL TrainingModule final : executorch::extension::Module {
+ public:
+  explicit TrainingModule(
+      std::unique_ptr<runtime::DataLoader> data_loader,
+      std::unique_ptr<runtime::MemoryAllocator> memory_allocator = nullptr,
+      std::unique_ptr<runtime::MemoryAllocator> temp_allocator = nullptr,
+      std::unique_ptr<runtime::EventTracer> event_tracer = nullptr)
+      : executorch::extension::Module(
+            std::move(data_loader),
+            std::move(memory_allocator),
+            std::move(temp_allocator),
+            std::move(event_tracer)),
+        method_named_gradients_({}) {}
+
+  explicit TrainingModule(const Module&) = delete;
+  TrainingModule& operator=(const Module&) = delete;
+  explicit TrainingModule(Module&&) = delete;
+  TrainingModule& operator=(Module&&) = delete;
+
+  /**
+   * Execute a specific method with the given input and retrieve output. Only
+   * valid if the specified method is a joint graph. Loads the program and
+   * method before executing if needed.
+   *
+   * @param[in] method_name The name of the joint graph method to execute.
+   * @param[in] input A vector of input values to be passed to the method.
+   *
+   * @returns A Result object containing the output values from the method or an
+   * error to indicate failure.
+   */
+  ET_EXPERIMENTAL runtime::Result<std::vector<runtime::EValue>>
+  execute_forward_backward(
+      const std::string& method_name,
+      const std::vector<runtime::EValue>& input);
+
+  /**
+   * Retrieve the trainable parameters for a joint graph method.
+   *
+   * @param[in] method_name The name of the joint graph method to get the
+   * parameters for.
+   *
+   * @returns A Result object containing a map of the fully qualified name to
+   * parameter tensor, or an error if the method is not a joint graph.
+   */
+  ET_EXPERIMENTAL
+  runtime::Result<const std::map<exec_aten::string_view, exec_aten::Tensor>>
+  named_parameters(const std::string& method_name);
+
+  /**
+   * Retrieve the latest gradients for a joint graph method.
+   *
+   * @param[in] method_name The name of the joint graph method to get the
+   * gradients for.
+   *
+   * @returns A Result object containing a map of the fully qualified name to
+   * gradient tensor associated with that parameter from the latest
+   * forward_backward execution, or an error if the method is not a joint graph
+   * or has not been executed yet.
+   */
+  ET_EXPERIMENTAL
+  runtime::Result<const std::map<exec_aten::string_view, exec_aten::Tensor>>
+  named_gradients(const std::string& method_name);
+
+ private:
+  std::unordered_map<
+      std::string,
+      std::map<exec_aten::string_view, exec_aten::Tensor>>
+      method_named_gradients_;
+};
+
+} // namespace training
+} // namespace extension
+} // namespace executorch
diff --git a/extension/training/optimizer/sgd.cpp b/extension/training/optimizer/sgd.cpp
index f2f63523b4..383383abc3 100644
--- a/extension/training/optimizer/sgd.cpp
+++ b/extension/training/optimizer/sgd.cpp
@@ -7,16 +7,49 @@
  */
 
 #include <executorch/extension/training/optimizer/sgd.h>
-#include <executorch/kernels/test/FunctionHeaderWrapper.h> // Declares the operator
 
 #include <executorch/runtime/core/error.h>
-#include <executorch/runtime/kernel/kernel_runtime_context.h>
 
-namespace torch {
-namespace executor {
+using exec_aten::Tensor;
+using exec_aten::TensorImpl;
+using ::executorch::runtime::Error;
+
+namespace executorch {
+namespace extension {
 namespace training {
 namespace optimizer {
 
+namespace {
+void add_out_hack(
+    const Tensor& a,
+    const Tensor& b,
+    const double alpha,
+    Tensor& out) {
+  auto a_ptr = a.const_data_ptr<float>();
+  auto b_ptr = b.const_data_ptr<float>();
+  auto out_ptr = out.mutable_data_ptr<float>();
+  for (size_t i = 0; i < a.numel(); ++i) {
+    out_ptr[i] = a_ptr[i] + b_ptr[i] * alpha;
+  }
+}
+
+void mul_out_hack(const Tensor& a, const double alpha, Tensor& out) {
+  auto a_ptr = a.const_data_ptr<float>();
+  auto out_ptr = out.mutable_data_ptr<float>();
+  for (size_t i = 0; i < a.numel(); ++i) {
+    out_ptr[i] = a_ptr[i] * alpha;
+  }
+}
+
+void clone_out_hack(const Tensor& a, Tensor& out) {
+  auto a_ptr = a.const_data_ptr<float>();
+  auto out_ptr = out.mutable_data_ptr<float>();
+  for (size_t i = 0; i < a.numel(); ++i) {
+    out_ptr[i] = a_ptr[i];
+  }
+}
+} // namespace
+
 bool SGDParamGroup::has_options() const {
   return options_ != nullptr;
 }
@@ -33,25 +66,13 @@ void SGDParamGroup::set_options(std::unique_ptr<SGDOptions> options) {
   options_ = std::move(options);
 }
 
-Span<const char*> SGDParamGroup::param_names() {
-  return param_names_;
-}
-
-const Span<const char*> SGDParamGroup::param_names() const {
-  return param_names_;
-}
-
-Span<Tensor> SGDParamGroup::param_data() {
-  return param_data_;
-}
-
-const Span<Tensor> SGDParamGroup::param_data() const {
-  return param_data_;
+const std::map<exec_aten::string_view, exec_aten::Tensor>&
+SGDParamGroup::named_parameters() const {
+  return named_parameters_;
 }
 
 void SGD::add_param_group(const SGDParamGroup& param_group) {
-  SGDParamGroup param_group_(
-      param_group.param_names(), param_group.param_data());
+  SGDParamGroup param_group_(param_group.named_parameters());
   if (!param_group.has_options()) {
     param_group_.set_options(defaults_->clone());
   } else {
@@ -60,14 +81,8 @@ void SGD::add_param_group(const SGDParamGroup& param_group) {
   param_groups_.emplace_back(std::move(param_group_));
 }
 
-Error SGD::step(Span<const char*> gradient_names, Span<Tensor> gradient_data) {
-  // check that the number of gradient names matches the number of gradients
-  ET_CHECK_OR_RETURN_ERROR(
-      gradient_names.size() == gradient_data.size(),
-      InvalidState,
-      "Gradient names and gradients must have the same length.");
-
-  RuntimeContext context;
+Error SGD::step(const std::map<exec_aten::string_view, exec_aten::Tensor>&
+                    named_gradients) {
   for (auto& group : param_groups_) {
     auto& options = static_cast<SGDOptions&>(group.options());
     auto weight_decay = options.weight_decay();
@@ -75,86 +90,63 @@ Error SGD::step(Span<const char*> gradient_names, Span<Tensor> gradient_data) {
     auto dampening = options.dampening();
     auto nesterov = options.nesterov();
 
-    for (int i = 0; i < group.param_names().size(); i++) {
-      for (int j = 0; j < gradient_names.size(); j++) {
-        // if param name and gradient name match, run the optimizer step
-        if (strcmp(group.param_names()[i], gradient_names[j]) == 0) {
-          auto d_p = gradient_data[j];
-          auto p = group.param_data()[i];
-          if (weight_decay != 0) {
-            // uses weight_decay specified and adds it to the gradient
-            torch::executor::aten::add_outf(context, d_p, p, weight_decay, d_p);
-            if (context.failure_state() != Error::Ok) {
-              return context.failure_state();
-            }
-          }
-          if (momentum != 0) {
-            Tensor buf(nullptr);
-            auto param_state = state_.find(p.unsafeGetTensorImpl());
-            // look for the momentum buffer for the given parameter. this is the
-            // momentum as of the previous epoch
-            if (param_state == state_.end()) {
-              // create a new momentum buffer if it doesn't exist. this memory
-              // needs to be freed when the optimizer is destroyed
-              void* buf_ptr = malloc(d_p.nbytes());
+    for (auto param_iter = group.named_parameters().begin();
+         param_iter != group.named_parameters().end();
+         ++param_iter) {
+      // if param name and gradient name match, run the optimizer step
+      const auto& named_gradient = named_gradients.find(param_iter->first);
+      if (named_gradient != named_gradients.end()) {
+        auto d_p = named_gradient->second;
+        auto p = param_iter->second;
+        if (weight_decay != 0) {
+          // uses weight_decay specified and adds it to the gradient
+          add_out_hack(d_p, p, weight_decay, d_p);
+        }
+        if (momentum != 0) {
+          Tensor buf(nullptr);
+          auto param_state = state_.find(p.unsafeGetTensorImpl());
+          // look for the momentum buffer for the given parameter. this is the
+          // momentum as of the previous epoch
+          if (param_state == state_.end()) {
+            // create a new momentum buffer if it doesn't exist. this memory
+            // needs to be freed when the optimizer is destroyed
+            void* buf_ptr = malloc(d_p.nbytes());
 
 #ifdef USE_ATEN_LIB
-              std::vector<int64_t> sizes(
-                  d_p.sizes().begin(), d_p.sizes().end());
-              buf = torch::from_blob(buf_ptr, sizes, d_p.scalar_type());
+            std::vector<int64_t> sizes(d_p.sizes().begin(), d_p.sizes().end());
+            buf = torch::from_blob(buf_ptr, sizes, d_p.scalar_type());
 #else
-              TensorImpl* buf_impl = new TensorImpl(
-                  d_p.scalar_type(),
-                  d_p.sizes().size(),
-                  const_cast<TensorImpl::SizesType*>(d_p.sizes().data()),
-                  buf_ptr,
-                  const_cast<TensorImpl::DimOrderType*>(
-                      d_p.dim_order().data()));
-              buf = Tensor(buf_impl);
+            TensorImpl* buf_impl = new TensorImpl(
+                d_p.scalar_type(),
+                d_p.sizes().size(),
+                const_cast<TensorImpl::SizesType*>(d_p.sizes().data()),
+                buf_ptr,
+                const_cast<TensorImpl::DimOrderType*>(d_p.dim_order().data()));
+            buf = Tensor(buf_impl);
 #endif
-              torch::executor::aten::clone_outf(
-                  context, d_p, exec_aten::MemoryFormat::Contiguous, buf);
-              if (context.failure_state() != Error::Ok) {
-                return context.failure_state();
-              }
-
-              // save the state of the momentum buffer to be reused in later
-              // epochs
-              auto state = std::make_unique<SGDParamState>(buf);
-              state_[p.unsafeGetTensorImpl()] = std::move(state);
-            } else {
-              buf = static_cast<SGDParamState&>(*param_state->second)
-                        .momentum_buffer();
-
-              // update the momentum buffer and apply dampening
-              torch::executor::aten::mul_outf(context, buf, momentum, buf);
-              if (context.failure_state() != Error::Ok) {
-                return context.failure_state();
-              }
-              torch::executor::aten::add_outf(
-                  context, buf, d_p, 1 - dampening, buf);
-              if (context.failure_state() != Error::Ok) {
-                return context.failure_state();
-              }
-            }
-            if (nesterov) {
-              // apply nesterov momentum
-              torch::executor::aten::add_outf(context, d_p, buf, momentum, d_p);
-              if (context.failure_state() != Error::Ok) {
-                return context.failure_state();
-              }
-            } else {
-              d_p = buf;
-            }
+            clone_out_hack(d_p, buf);
+
+            // save the state of the momentum buffer to be reused in later
+            // epochs
+            auto state = std::make_unique<SGDParamState>(buf);
+            state_[p.unsafeGetTensorImpl()] = std::move(state);
+          } else {
+            buf = static_cast<SGDParamState&>(*param_state->second)
+                      .momentum_buffer();
+
+            // update the momentum buffer and apply dampening
+            mul_out_hack(buf, momentum, buf);
+            add_out_hack(buf, d_p, 1 - dampening, buf);
           }
-          // update the parameter using the gradient and learning rate
-          torch::executor::aten::add_outf(
-              context, p, d_p, -1 * options.lr(), p);
-          if (context.failure_state() != Error::Ok) {
-            return context.failure_state();
+          if (nesterov) {
+            // apply nesterov momentum
+            add_out_hack(d_p, buf, momentum, d_p);
+          } else {
+            d_p = buf;
           }
-          break;
         }
+        // update the parameter using the gradient and learning rate
+        add_out_hack(p, d_p, -1 * options.lr(), p);
       }
     }
   }
@@ -170,7 +162,8 @@ SGD::~SGD() {
 #endif
   }
 }
+
 } // namespace optimizer
 } // namespace training
-} // namespace executor
-} // namespace torch
+} // namespace extension
+} // namespace executorch
diff --git a/extension/training/optimizer/sgd.h b/extension/training/optimizer/sgd.h
index 308e3471d9..00e84b1348 100644
--- a/extension/training/optimizer/sgd.h
+++ b/extension/training/optimizer/sgd.h
@@ -18,25 +18,21 @@
 
 #include <executorch/runtime/core/error.h>
 #include <executorch/runtime/core/exec_aten/exec_aten.h>
-#include <executorch/runtime/core/span.h>
+#include <map>
 #include <memory>
 #include <unordered_map>
 #include <vector>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace extension {
 namespace training {
 namespace optimizer {
 
-using Tensor = exec_aten::Tensor;
-using TensorImpl = exec_aten::TensorImpl;
-using ScalarType = exec_aten::ScalarType;
-
 /**
  * SGD optimizer state. This keeps track of the state of a given parameter to
  * be used in later epochs.
  */
-class SGDParamState {
+class ET_EXPERIMENTAL SGDParamState {
  public:
   /**
    * Constructs a new SGD param state.
@@ -44,22 +40,22 @@ class SGDParamState {
    * @param[in] momentum_buffer A tensor that stores the momentum at the last
    * epoch.
    */
-  explicit SGDParamState(Tensor& momentum_buffer)
+  explicit SGDParamState(exec_aten::Tensor& momentum_buffer)
       : momentum_buffer_(momentum_buffer) {}
 
-  Tensor& momentum_buffer() {
+  exec_aten::Tensor& momentum_buffer() {
     return momentum_buffer_;
   }
 
  private:
-  Tensor momentum_buffer_;
+  exec_aten::Tensor momentum_buffer_;
 };
 
 /**
  * SGD optimizer options. This contains options for performing training on a
  * param group, such as the learning rate.
  */
-class SGDOptions {
+class ET_EXPERIMENTAL SGDOptions {
  public:
   /**
    * Constructs a new SGD optimizer options.
@@ -132,57 +128,47 @@ class SGDOptions {
  * SGD optimizer param group. This contains the parameters and
  * the SGDOptions associated to it.
  */
-class SGDParamGroup {
+class ET_EXPERIMENTAL SGDParamGroup {
  public:
   // NOTE: In order to store `SGDParamGroup` in a `std::vector`, it has
   // to be copy-constructible.
   SGDParamGroup(const SGDParamGroup& param_group)
-      : param_data_(param_group.param_data()),
-        param_names_(param_group.param_names()),
+      : named_parameters_(param_group.named_parameters()),
         options_(
             param_group.has_options() ? param_group.options().clone()
                                       : nullptr) {}
   SGDParamGroup& operator=(const SGDParamGroup& param_group) {
-    this->param_data_ = param_group.param_data();
-    this->param_names_ = param_group.param_names();
+    this->named_parameters_ = param_group.named_parameters_;
     this->options_ =
         param_group.has_options() ? param_group.options().clone() : nullptr;
     return *this;
   }
 
   /**
-   * This constructs a SGD param group. We expect that the two spans are of the
-   * same size, and that for a given param data, its index in param_data is the
-   * same as its param name in param_name.
+   * Constructs a SGD param group.
    *
-   * @param[in] param_names The names of the params for this group.
-   * @param[in] param_data The tensors representing the param data.
+   * @param[in] named_parameters The parameters to be optimized and their fully
+   * qualified names.
    */
   /* implicit */ SGDParamGroup(
-      Span<const char*> param_names,
-      Span<Tensor> param_data)
-      : param_data_(std::move(param_data)),
-        param_names_(std::move(param_names)) {}
+      const std::map<exec_aten::string_view, exec_aten::Tensor>&
+          named_parameters)
+      : named_parameters_(named_parameters) {}
   SGDParamGroup(
-      Span<const char*> param_names,
-      Span<Tensor> param_data,
+      const std::map<exec_aten::string_view, exec_aten::Tensor>&
+          named_parameters,
       std::unique_ptr<SGDOptions> options)
-      : param_data_(std::move(param_data)),
-        param_names_(std::move(param_names)),
-        options_(std::move(options)) {}
+      : named_parameters_(named_parameters), options_(std::move(options)) {}
 
   bool has_options() const;
   SGDOptions& options();
   const SGDOptions& options() const;
   void set_options(std::unique_ptr<SGDOptions> options);
-  Span<const char*> param_names();
-  const Span<const char*> param_names() const;
-  Span<Tensor> param_data();
-  const Span<Tensor> param_data() const;
+  const std::map<exec_aten::string_view, exec_aten::Tensor>& named_parameters()
+      const;
 
  private:
-  Span<Tensor> param_data_;
-  Span<const char*> param_names_;
+  std::map<exec_aten::string_view, exec_aten::Tensor> named_parameters_;
   std::unique_ptr<SGDOptions> options_;
 };
 
@@ -190,7 +176,7 @@ class SGDParamGroup {
  * SGD optimizer class. This is responsible for performing the optimization
  * step.
  */
-class SGD {
+class ET_EXPERIMENTAL SGD {
  public:
   explicit SGD(
       const std::vector<SGDParamGroup>& param_groups,
@@ -202,11 +188,10 @@ class SGD {
   }
 
   explicit SGD(
-      Span<const char*> param_names,
-      Span<Tensor> param_data,
+      const std::map<exec_aten::string_view, exec_aten::Tensor>&
+          named_parameters,
       SGDOptions defaults)
-      : SGD({SGDParamGroup(std::move(param_names), std::move(param_data))},
-            defaults) {}
+      : SGD({SGDParamGroup(named_parameters)}, defaults) {}
 
   // Adds the given param_group to the optimizer's param_group list.
   void add_param_group(const SGDParamGroup& param_group);
@@ -216,16 +201,12 @@ class SGD {
   /**
    * Performs the optimization step.
    *
-   * The two spans must be of the same size. It is expected that the gradient in
-   * 'gradient_data' at index 'i' represents the gradient calculated in the loss
-   * function for the parameter with the name in 'gradient_names' at index 'i'.
-   *
-   * @param[in] gradient_names The names of the params that matches the gradient
-   *   in 'gradient_data' at the same index.
-   * @param[in] gradient_data The gradient tensors to be used for optimization
-   *   step.
+   * @param[in] named_gradients The gradients of the tensors specified by the
+   * fully qualified name.
    */
-  Error step(Span<const char*> gradient_names, Span<Tensor> gradient_data);
+  ::executorch::runtime::Error step(
+      const std::map<exec_aten::string_view, exec_aten::Tensor>&
+          named_gradients);
 
  private:
   std::vector<SGDParamGroup> param_groups_;
@@ -235,5 +216,5 @@ class SGD {
 
 } // namespace optimizer
 } // namespace training
-} // namespace executor
-} // namespace torch
+} // namespace extension
+} // namespace executorch
diff --git a/extension/training/optimizer/targets.bzl b/extension/training/optimizer/targets.bzl
index 84043d27c9..3b00ae0bfd 100644
--- a/extension/training/optimizer/targets.bzl
+++ b/extension/training/optimizer/targets.bzl
@@ -10,23 +10,22 @@ def define_common_targets():
     for aten_mode in (True, False):
         aten_suffix = "_aten" if aten_mode else ""
 
-        if aten_mode:
-            kernel_deps = [
-                "//executorch/kernels/aten:generated_lib",
-                "//executorch/kernels/aten:generated_lib_headers",
-                "//executorch/kernels/test:function_header_wrapper_aten",
-            ]
-        else:
-            kernel_deps = [
-                "//executorch/kernels/portable/cpu:op_add",
-                "//executorch/kernels/portable/cpu:op_mul",
-                "//executorch/kernels/portable/cpu:op_clone",
-                "//executorch/kernels/portable:generated_lib_headers",
-                "//executorch/kernels/test:function_header_wrapper_portable",
-            ]
+        # if aten_mode:
+        #     kernel_deps = [
+        #         "//executorch/kernels/aten:generated_lib",
+        #         "//executorch/kernels/aten:generated_lib_headers",
+        #         "//executorch/kernels/test:function_header_wrapper_aten",
+        #     ]
+        # else:
+        #     kernel_deps = [
+        #         "//executorch/kernels/portable/cpu:op_add",
+        #         "//executorch/kernels/portable/cpu:op_mul",
+        #         "//executorch/kernels/portable/cpu:op_clone",
+        #         "//executorch/kernels/portable:generated_lib_headers",
+        #     ]
 
         runtime.cxx_library(
-            name = "optimizer" + aten_suffix,
+            name = "sgd" + aten_suffix,
             srcs = [
                 "sgd.cpp",
             ],
@@ -34,9 +33,9 @@ def define_common_targets():
                 "sgd.h",
             ],
             exported_deps = [
-                "//executorch/runtime/kernel:kernel_runtime_context" + aten_suffix,
+                "//executorch/runtime/core:core",
                 "//executorch/runtime/core/exec_aten:lib" + aten_suffix,
-            ] + kernel_deps,
+            ],  # + kernel_deps,
             visibility = [
                 "@EXECUTORCH_CLIENTS",
             ],
diff --git a/extension/training/optimizer/test/sgd_test.cpp b/extension/training/optimizer/test/sgd_test.cpp
index 1dd1a3e55d..92b329d8ed 100644
--- a/extension/training/optimizer/test/sgd_test.cpp
+++ b/extension/training/optimizer/test/sgd_test.cpp
@@ -17,12 +17,13 @@
 // @lint-ignore-every CLANGTIDY facebook-hte-CArray
 
 using namespace ::testing;
-using namespace torch::executor::training::optimizer;
 using exec_aten::ScalarType;
 using exec_aten::Tensor;
-using torch::executor::Error;
-using torch::executor::Span;
-using torch::executor::testing::TensorFactory;
+using ::executorch::extension::training::optimizer::SGD;
+using ::executorch::extension::training::optimizer::SGDOptions;
+using ::executorch::extension::training::optimizer::SGDParamState;
+using ::executorch::runtime::Error;
+using ::executorch::runtime::testing::TensorFactory;
 
 class SGDOptimizerTest : public ::testing::Test {
  protected:
@@ -67,70 +68,47 @@ TEST_F(SGDOptimizerTest, SGDOptionsDefaultValuesTest) {
 TEST_F(SGDOptimizerTest, SGDOptimizerSimple) {
   TensorFactory<ScalarType::Float> tf;
 
-  const char* param_name[1] = {"param1"};
-  Span<const char*> param_names(param_name, 1);
+  std::map<exec_aten::string_view, exec_aten::Tensor> named_parameters;
+  std::map<exec_aten::string_view, exec_aten::Tensor> named_gradients;
 
-  Tensor param_data[1] = {tf.make({1, 1}, {1})};
-  Span<Tensor> param_data_span(param_data, 1);
+  named_parameters.insert({"param1", tf.make({1, 1}, {1})});
 
   // dummy gradient of -1 for all epochs
-  Tensor grad_data[1] = {tf.make({1, 1}, {-1})};
-  Span<Tensor> grad_data_span(grad_data, 1);
+  named_gradients.insert({"param1", tf.make({1, 1}, {-1})});
 
-  SGD optimizer(param_names, param_data_span, SGDOptions{0.1});
+  SGD optimizer(named_parameters, SGDOptions{0.1});
 
   for (int i = 0; i < 10; ++i) {
-    optimizer.step(param_names, grad_data_span);
+    optimizer.step(named_gradients);
   }
 
   auto p1 = static_cast<const float*>(
-      param_data_span[0].unsafeGetTensorImpl()->data());
+      named_parameters.at("param1").unsafeGetTensorImpl()->data());
   EXPECT_NEAR(p1[0], 2.0, 0.1);
 }
 
-TEST_F(SGDOptimizerTest, SGDOptimizerMismatchedGradientSpans) {
-  TensorFactory<ScalarType::Float> tf;
-
-  const char* param_name[1] = {"param1"};
-  Span<const char*> param_names(param_name, 1);
-
-  Tensor param_data[1] = {tf.make({1, 1}, {1})};
-  Span<Tensor> param_data_span(param_data, 1);
-
-  // dummy gradient of -1 for all epochs
-  Tensor grad_data[2] = {tf.make({1, 1}, {-1}), tf.make({1, 1}, {-1})};
-  Span<Tensor> grad_data_span(grad_data, 2);
-
-  SGD optimizer(param_names, param_data_span, SGDOptions{0.1});
-
-  Error error = optimizer.step(param_names, grad_data_span);
-
-  EXPECT_EQ(error, Error::InvalidState);
-}
-
 TEST_F(SGDOptimizerTest, SGDOptimizerComplex) {
   TensorFactory<ScalarType::Float> tf;
 
-  const char* param_name[2] = {"param1", "param2"};
-  Span<const char*> param_names(param_name, 2);
+  std::map<exec_aten::string_view, exec_aten::Tensor> named_parameters;
 
-  Tensor param_data[2] = {tf.make({1, 1}, {1.0}), tf.make({1, 1}, {2.0})};
-  Span<Tensor> param_data_span(param_data, 2);
+  named_parameters.insert({"param1", tf.make({1, 1}, {1.0})});
+  named_parameters.insert({"param2", tf.make({1, 1}, {2.0})});
 
-  SGD optimizer(param_names, param_data_span, SGDOptions{0.1, 0.1, 0, 2, true});
+  SGD optimizer(named_parameters, SGDOptions{0.1, 0.1, 0, 2, true});
 
   for (int i = 0; i < 10; ++i) {
+    std::map<exec_aten::string_view, exec_aten::Tensor> named_gradients;
     // dummy gradient of -1 for all epochs
-    Tensor grad_data[2] = {tf.make({1, 1}, {-1}), tf.make({1, 1}, {-1})};
-    Span<Tensor> grad_data_span(grad_data, 2);
-
-    optimizer.step(param_names, grad_data_span);
+    named_gradients.insert({"param1", tf.make({1, 1}, {-1})});
+    named_gradients.insert({"param2", tf.make({1, 1}, {-1})});
+    optimizer.step(named_gradients);
   }
 
-  auto p1 = static_cast<const float*>(
-      param_data_span[0].unsafeGetTensorImpl()->data());
-  auto p2 = static_cast<const float*>(
-      param_data_span[1].unsafeGetTensorImpl()->data());
+  auto p1 =
+      static_cast<const float*>(named_parameters.at("param1").const_data_ptr());
+  auto p2 =
+      static_cast<const float*>(named_parameters.at("param2").const_data_ptr());
   EXPECT_NEAR(p1[0], 0.540303, 0.1);
   EXPECT_NEAR(p2[0], 0.620909, 0.1);
 }
diff --git a/extension/training/optimizer/test/targets.bzl b/extension/training/optimizer/test/targets.bzl
index 7ffa74d614..11269bfa18 100644
--- a/extension/training/optimizer/test/targets.bzl
+++ b/extension/training/optimizer/test/targets.bzl
@@ -15,7 +15,7 @@ def define_common_targets():
                 "sgd_test.cpp",
             ],
             deps = [
-                "//executorch/extension/training/optimizer:optimizer" + aten_suffix,
+                "//executorch/extension/training/optimizer:sgd" + aten_suffix,
                 "//executorch/runtime/core:core",
                 "//executorch/runtime/core/exec_aten/testing_util:tensor_util",
             ],
diff --git a/extension/training/test/TARGETS b/extension/training/test/TARGETS
new file mode 100644
index 0000000000..a6c52d105f
--- /dev/null
+++ b/extension/training/test/TARGETS
@@ -0,0 +1,8 @@
+# Any targets that should be shared between fbcode and xplat must be defined in
+# targets.bzl. This file can contain fbcode-only targets.
+
+load(":targets.bzl", "define_common_targets")
+
+oncall("executorch")
+
+define_common_targets(is_fbcode = True)
diff --git a/extension/training/test/targets.bzl b/extension/training/test/targets.bzl
new file mode 100644
index 0000000000..9710f51206
--- /dev/null
+++ b/extension/training/test/targets.bzl
@@ -0,0 +1,37 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets(is_fbcode = False):
+    """Defines targets that should be shared between fbcode and xplat.
+
+    The directory containing this targets.bzl file should also contain both
+    TARGETS and BUCK files that call this function.
+    """
+
+    # TODO(dbort): Find a way to make these run for ANDROID/APPLE in xplat. The
+    # android and ios test determinators don't like the reference to the model
+    # file in fbcode. See https://fburl.com/9esapdmd
+    if not runtime.is_oss and is_fbcode:
+        modules_env = {
+            # The tests use this var to find the program file to load. This uses
+            # an fbcode target path because the authoring/export tools
+            # intentionally don't work in xplat (since they're host-only tools).
+            "ET_MODULE_SIMPLE_TRAIN_PATH": "$(location fbcode//executorch/test/models:exported_programs[ModuleSimpleTrain.pte])",
+        }
+
+        runtime.cxx_test(
+            name = "training_loop_test",
+            srcs = [
+                "training_loop_test.cpp",
+            ],
+            deps = [
+                "//executorch/runtime/executor:program",
+                "//executorch/extension/data_loader:file_data_loader",
+                "//executorch/runtime/core/exec_aten/testing_util:tensor_util",
+                "//executorch/extension/evalue_util:print_evalue",
+                "//executorch/runtime/executor/test:managed_memory_manager",
+                "//executorch/extension/training/optimizer:sgd",
+                "//executorch/extension/training/module:training_module",
+                "//executorch/kernels/portable:generated_lib",
+            ],
+            env = modules_env,
+        )
diff --git a/extension/training/test/training_loop_test.cpp b/extension/training/test/training_loop_test.cpp
new file mode 100644
index 0000000000..bc162ab26b
--- /dev/null
+++ b/extension/training/test/training_loop_test.cpp
@@ -0,0 +1,82 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/extension/data_loader/file_data_loader.h>
+#include <executorch/extension/evalue_util/print_evalue.h>
+#include <executorch/extension/training/module/training_module.h>
+#include <executorch/extension/training/optimizer/sgd.h>
+#include <executorch/runtime/core/exec_aten/exec_aten.h>
+#include <executorch/runtime/core/exec_aten/testing_util/tensor_factory.h>
+#include <executorch/runtime/core/span.h>
+#include <executorch/runtime/executor/method.h>
+#include <executorch/runtime/executor/program.h>
+#include <executorch/runtime/executor/test/managed_memory_manager.h>
+#include <executorch/runtime/platform/runtime.h>
+
+#include <gtest/gtest.h>
+#include <iostream>
+
+// @lint-ignore-every CLANGTIDY facebook-hte-CArray
+
+using namespace ::testing;
+using namespace executorch::extension::training::optimizer;
+using namespace torch::executor::testing;
+using exec_aten::ScalarType;
+using exec_aten::Tensor;
+using namespace torch::executor;
+using torch::executor::util::FileDataLoader;
+
+class TrainingLoopTest : public ::testing::Test {
+ protected:
+  void SetUp() override {}
+};
+
+TEST_F(TrainingLoopTest, OptimizerSteps) {
+  const char* path = std::getenv("ET_MODULE_SIMPLE_TRAIN_PATH");
+  executorch::runtime::Result<torch::executor::util::FileDataLoader>
+      loader_res = torch::executor::util::FileDataLoader::from(path);
+  ASSERT_EQ(loader_res.error(), Error::Ok);
+  auto loader = std::make_unique<torch::executor::util::FileDataLoader>(
+      std::move(loader_res.get()));
+
+  auto mod = executorch::extension::training::TrainingModule(std::move(loader));
+
+  // Create inputs.
+  TensorFactory<ScalarType::Float> tf;
+  Tensor input = tf.make({3}, {1.0, 1.0, 1.0});
+  Tensor label = tf.make({3}, {1.0, 0.0, 0.0});
+
+  auto res = mod.execute_forward_backward("forward", {input, label});
+  ASSERT_TRUE(res.ok());
+
+  // Set up optimizer.
+  // Get the params and names
+  auto param_res = mod.named_parameters("forward");
+  ASSERT_EQ(param_res.error(), Error::Ok);
+
+  float orig_data = param_res.get().at("linear.weight").data_ptr<float>()[0];
+
+  SGDOptions options{0.1};
+  SGD optimizer(param_res.get(), options);
+
+  // Get the gradients
+  auto grad_res = mod.named_gradients("forward");
+  ASSERT_EQ(grad_res.error(), Error::Ok);
+  auto& grad = grad_res.get();
+  ASSERT_EQ(grad.size(), 2);
+  ASSERT_NE(grad.find("linear.weight"), grad.end());
+  ASSERT_NE(grad.find("linear.bias"), grad.end());
+
+  // Step
+  auto opt_err = optimizer.step(grad_res.get());
+  ASSERT_EQ(opt_err, Error::Ok);
+
+  // Check that the data has changed.
+  ASSERT_NE(
+      param_res.get().at("linear.weight").data_ptr<float>()[0], orig_data);
+}
diff --git a/install_requirements.bat b/install_requirements.bat
new file mode 100644
index 0000000000..4cfe4b21c4
--- /dev/null
+++ b/install_requirements.bat
@@ -0,0 +1,21 @@
+@ECHO OFF
+
+rem Copyright (c) Meta Platforms, Inc. and affiliates.
+rem All rights reserved.
+
+rem This batch file provides a basic functionality similar to the bash script.
+
+cd /d "%~dp0"
+
+rem Find the names of the python tools to use (replace with your actual python installation)
+if "%PYTHON_EXECUTABLE%"=="" (
+  if "%CONDA_DEFAULT_ENV%"=="" OR "%CONDA_DEFAULT_ENV%"=="base" OR NOT EXIST "python" (
+    set PYTHON_EXECUTABLE=python3
+  ) else (
+    set PYTHON_EXECUTABLE=python
+  )
+)
+
+"%PYTHON_EXECUTABLE%" install_requirements.py %*
+
+exit /b %ERRORLEVEL%
\ No newline at end of file
diff --git a/install_requirements.py b/install_requirements.py
new file mode 100644
index 0000000000..64243ec694
--- /dev/null
+++ b/install_requirements.py
@@ -0,0 +1,173 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+
+import os
+import platform
+import re
+import subprocess
+import sys
+
+# Before doing anything, cd to the directory containing this script.
+os.chdir(os.path.dirname(os.path.abspath(__file__)))
+
+
+def python_is_compatible():
+    # Scrape the version range from pyproject.toml, which should be in the current directory.
+    version_specifier = None
+    with open("pyproject.toml", "r") as file:
+        for line in file:
+            if line.startswith("requires-python"):
+                match = re.search(r'"([^"]*)"', line)
+                if match:
+                    version_specifier = match.group(1)
+                    break
+
+    if not version_specifier:
+        print(
+            "WARNING: Skipping python version check: version range not found",
+            file=sys.stderr,
+        )
+        return False
+
+    # Install the packaging module if necessary.
+    try:
+        import packaging
+    except ImportError:
+        subprocess.run(
+            [sys.executable, "-m", "pip", "install", "packaging"], check=True
+        )
+    # Compare the current python version to the range in version_specifier. Exits
+    # with status 1 if the version is not compatible, or with status 0 if the
+    # version is compatible or the logic itself fails.
+    try:
+        import packaging.specifiers
+        import packaging.version
+
+        python_version = packaging.version.parse(platform.python_version())
+        version_range = packaging.specifiers.SpecifierSet(version_specifier)
+        if python_version not in version_range:
+            print(
+                f'ERROR: ExecuTorch does not support python version {python_version}: must satisfy "{version_specifier}"',
+                file=sys.stderr,
+            )
+            return False
+    except Exception as e:
+        print(f"WARNING: Skipping python version check: {e}", file=sys.stderr)
+    return True
+
+
+if not python_is_compatible():
+    sys.exit(1)
+
+# Parse options.
+EXECUTORCH_BUILD_PYBIND = "OFF"
+CMAKE_ARGS = os.getenv("CMAKE_ARGS", "")
+CMAKE_BUILD_ARGS = os.getenv("CMAKE_BUILD_ARGS", "")
+
+for arg in sys.argv[1:]:
+    if arg == "--pybind":
+        EXECUTORCH_BUILD_PYBIND = "ON"
+    elif arg in ["coreml", "mps", "xnnpack"]:
+        if EXECUTORCH_BUILD_PYBIND == "ON":
+            arg_upper = arg.upper()
+            CMAKE_ARGS += f" -DEXECUTORCH_BUILD_{arg_upper}=ON"
+        else:
+            print(f"Error: {arg} must follow --pybind")
+            sys.exit(1)
+    else:
+        print(f"Error: Unknown option {arg}")
+        sys.exit(1)
+
+# Use ClangCL on Windows.
+# ClangCL is an alias to Clang that configures it to work in an MSVC-compatible
+# mode. Using it on Windows to avoid compiler compatibility issues for MSVC.
+if os.name == "nt":
+    CMAKE_ARGS += " -T ClangCL"
+
+# Since ExecuTorch often uses main-branch features of pytorch, only the nightly
+# pip versions will have the required features.
+#
+# NOTE: If a newly-fetched version of the executorch repo changes the value of
+# NIGHTLY_VERSION, you should re-run this script to install the necessary
+# package versions.
+NIGHTLY_VERSION = "dev20240901"
+
+# The pip repository that hosts nightly torch packages.
+TORCH_NIGHTLY_URL = "https://download.pytorch.org/whl/nightly/cpu"
+
+# pip packages needed by exir.
+EXIR_REQUIREMENTS = [
+    f"torch==2.5.0.{NIGHTLY_VERSION}",
+    f"torchvision==0.20.0.{NIGHTLY_VERSION}",  # For testing.
+    "typing-extensions",
+]
+
+# pip packages needed for development.
+DEVEL_REQUIREMENTS = [
+    "cmake",  # For building binary targets.
+    "pip>=23",  # For building the pip package.
+    "pyyaml",  # Imported by the kernel codegen tools.
+    "setuptools>=63",  # For building the pip package.
+    "tomli",  # Imported by extract_sources.py when using python < 3.11.
+    "wheel",  # For building the pip package archive.
+    "zstd",  # Imported by resolve_buck.py.
+]
+
+# pip packages needed to run examples.
+# TODO: Make each example publish its own requirements.txt
+EXAMPLES_REQUIREMENTS = [
+    "timm==1.0.7",
+    f"torchaudio==2.5.0.{NIGHTLY_VERSION}",
+    "torchsr==1.0.4",
+    "transformers==4.42.4",
+]
+
+# Assemble the list of requirements to actually install.
+# TODO: Add options for reducing the number of requirements.
+REQUIREMENTS_TO_INSTALL = EXIR_REQUIREMENTS + DEVEL_REQUIREMENTS + EXAMPLES_REQUIREMENTS
+
+# Install the requirements. `--extra-index-url` tells pip to look for package
+# versions on the provided URL if they aren't available on the default URL.
+subprocess.run(
+    [
+        sys.executable,
+        "-m",
+        "pip",
+        "install",
+        *REQUIREMENTS_TO_INSTALL,
+        "--extra-index-url",
+        TORCH_NIGHTLY_URL,
+    ],
+    check=True,
+)
+
+#
+# Install executorch pip package. This also makes `flatc` available on the path.
+# The --extra-index-url may be necessary if pyproject.toml has a dependency on a
+# pre-release or nightly version of a torch package.
+#
+
+# Set environment variables
+os.environ["EXECUTORCH_BUILD_PYBIND"] = EXECUTORCH_BUILD_PYBIND
+os.environ["CMAKE_ARGS"] = CMAKE_ARGS
+os.environ["CMAKE_BUILD_ARGS"] = CMAKE_BUILD_ARGS
+
+# Run the pip install command
+subprocess.run(
+    [
+        sys.executable,
+        "-m",
+        "pip",
+        "install",
+        ".",
+        "--no-build-isolation",
+        "-v",
+        "--extra-index-url",
+        TORCH_NIGHTLY_URL,
+    ],
+    check=True,
+)
diff --git a/install_requirements.sh b/install_requirements.sh
index 0ff556e0f7..6caaa880e6 100755
--- a/install_requirements.sh
+++ b/install_requirements.sh
@@ -19,155 +19,7 @@ then
   fi
 fi
 
-if [[ "$PYTHON_EXECUTABLE" == "python" ]];
-then
-  PIP_EXECUTABLE=pip
-else
-  PIP_EXECUTABLE=pip3
-fi
-
-# Returns 0 if the current python version is compatible with the version range
-# in pyprojects.toml, or returns 1 if it is not compatible. If the check logic
-# itself fails, prints a warning and returns 0.
-python_is_compatible() {
-  # Scrape the version range from pyproject.toml, which should be
-  # in the current directory.
-  local version_specifier
-  version_specifier="$(
-    grep "^requires-python" pyproject.toml \
-      | head -1 \
-      | sed -e 's/[^"]*"//;s/".*//'
-  )"
-  if [[ -z ${version_specifier} ]]; then
-    echo "WARNING: Skipping python version check: version range not found" >& 2
-    return 0
-  fi
-
-  # Install the packaging module if necessary.
-  if ! python -c 'import packaging' 2> /dev/null ; then
-    ${PIP_EXECUTABLE} install packaging
-  fi
-
-  # Compare the current python version to the range in version_specifier. Exits
-  # with status 1 if the version is not compatible, or with status 0 if the
-  # version is compatible or the logic itself fails.
-${PYTHON_EXECUTABLE} <<EOF
-import sys
-try:
-  import packaging.version
-  import packaging.specifiers
-  import platform
-
-  python_version = packaging.version.parse(platform.python_version())
-  version_range = packaging.specifiers.SpecifierSet("${version_specifier}")
-  if python_version not in version_range:
-    print(
-        "ERROR: ExecuTorch does not support python version "
-        + f"{python_version}: must satisfy \"${version_specifier}\"",
-        file=sys.stderr,
-    )
-    sys.exit(1)
-except Exception as e:
-  print(f"WARNING: Skipping python version check: {e}", file=sys.stderr)
-  sys.exit(0)
-EOF
-
-  return $?
-}
-
-# Fail fast if the wheel build will fail because the current python version
-# isn't supported. But don't fail if the check logic itself has problems: the
-# wheel build will do a final check before proceeding.
-if ! python_is_compatible; then
-  exit 1
-fi
-
-# Parse options.
-EXECUTORCH_BUILD_PYBIND=OFF
-
-for arg in "$@"; do
-  case $arg in
-    --pybind)
-      EXECUTORCH_BUILD_PYBIND=ON
-      ;;
-    coreml|mps|xnnpack)
-      if [[ "$EXECUTORCH_BUILD_PYBIND" == "ON" ]]; then
-        arg_upper="$(echo "${arg}" | tr '[:lower:]' '[:upper:]')"
-        CMAKE_ARGS="$CMAKE_ARGS -DEXECUTORCH_BUILD_${arg_upper}=ON"
-      else
-        echo "Error: $arg must follow --pybind"
-        exit 1
-      fi
-      ;;
-    *)
-      echo "Error: Unknown option $arg"
-      exit 1
-      ;;
-  esac
-done
-
-#
-# Install pip packages used by code in the ExecuTorch repo.
-#
-
-# Since ExecuTorch often uses main-branch features of pytorch, only the nightly
-# pip versions will have the required features.
-#
-# NOTE: If a newly-fetched version of the executorch repo changes the value of
-# NIGHTLY_VERSION, you should re-run this script to install the necessary
-# package versions.
-NIGHTLY_VERSION=dev20240716
-
-# The pip repository that hosts nightly torch packages.
-TORCH_NIGHTLY_URL="https://download.pytorch.org/whl/nightly/cpu"
-
-# pip packages needed by exir.
-EXIR_REQUIREMENTS=(
-  torch=="2.5.0.${NIGHTLY_VERSION}"
-  torchvision=="0.20.0.${NIGHTLY_VERSION}"  # For testing.
-)
-
-# pip packages needed for development.
-DEVEL_REQUIREMENTS=(
-  cmake  # For building binary targets.
-  "pip>=23" # For building the pip package.
-  pyyaml  # Imported by the kernel codegen tools.
-  "setuptools>=63"  # For building the pip package.
-  tomli  # Imported by extract_sources.py when using python < 3.11.
-  wheel  # For building the pip package archive.
-  zstd  # Imported by resolve_buck.py.
-)
-
-# pip packages needed to run examples.
-# TODO(dbort): Make each example publish its own requirements.txt
-EXAMPLES_REQUIREMENTS=(
-  timm==1.0.7
-  torchaudio=="2.4.0.${NIGHTLY_VERSION}"
-  torchsr==1.0.4
-  transformers==4.42.4
-)
-
-# Assemble the list of requirements to actually install.
-# TODO(dbort): Add options for reducing the number of requirements.
-REQUIREMENTS_TO_INSTALL=(
-  "${EXIR_REQUIREMENTS[@]}"
-  "${DEVEL_REQUIREMENTS[@]}"
-  "${EXAMPLES_REQUIREMENTS[@]}"
-)
-
-# Install the requirements. `--extra-index-url` tells pip to look for package
-# versions on the provided URL if they aren't available on the default URL.
-$PIP_EXECUTABLE install --extra-index-url "${TORCH_NIGHTLY_URL}" \
-    "${REQUIREMENTS_TO_INSTALL[@]}"
-
-#
-# Install executorch pip package. This also makes `flatc` available on the path.
-# The --extra-index-url may be necessary if pyproject.toml has a dependency on a
-# pre-release or nightly version of a torch package.
-#
+$PYTHON_EXECUTABLE ./install_requirements.py "$@"
 
-EXECUTORCH_BUILD_PYBIND="${EXECUTORCH_BUILD_PYBIND}" \
-    CMAKE_ARGS="${CMAKE_ARGS}" \
-    CMAKE_BUILD_ARGS="${CMAKE_BUILD_ARGS}" \
-    $PIP_EXECUTABLE install . --no-build-isolation -v \
-        --extra-index-url "${TORCH_URL}"
+# Exit with the same status as the python script.
+exit $?
diff --git a/kernels/README.md b/kernels/README.md
index 4e9656e6e9..68b0ce222b 100644
--- a/kernels/README.md
+++ b/kernels/README.md
@@ -355,8 +355,8 @@ cmake . \
   -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
   -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
   -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
-  -DEXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL=ON \
-  -DEXECUTORCH_BUILD_SDK=ON \
+  -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
+  -DEXECUTORCH_BUILD_DEVTOOLS=ON \
   -DEXECUTORCH_BUILD_VULKAN=OFF \
   -DEXECUTORCH_BUILD_XNNPACK=ON \
   -Bcmake-out
diff --git a/kernels/aten/cpu/op__to_dim_order_copy.cpp b/kernels/aten/cpu/op__to_dim_order_copy.cpp
index 63a301531d..c2de14ea44 100644
--- a/kernels/aten/cpu/op__to_dim_order_copy.cpp
+++ b/kernels/aten/cpu/op__to_dim_order_copy.cpp
@@ -92,7 +92,7 @@ bool check__to_dim_order_copy_args(
 // _to_dim_order_copy.out(Tensor self, *, bool non_blocking=False, int[]?
 // dim_order=None, Tensor(a!) out) -> Tensor(a!)
 Tensor& _to_dim_order_copy_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& self,
     bool non_blocking,
     OptionalArrayRef<int64_t> dim_order,
@@ -115,7 +115,7 @@ Tensor& _to_dim_order_copy_out(
     bool non_blocking,
     OptionalArrayRef<int64_t> dim_order,
     Tensor& out) {
-  exec_aten::RuntimeContext ctx{};
+  executorch::runtime::KernelRuntimeContext ctx{};
   return _to_dim_order_copy_out(ctx, self, non_blocking, dim_order, out);
 }
 
diff --git a/kernels/aten/functions.yaml b/kernels/aten/functions.yaml
index f95169a068..cba03b8a74 100644
--- a/kernels/aten/functions.yaml
+++ b/kernels/aten/functions.yaml
@@ -115,6 +115,8 @@
 
 - op: convolution.out
 
+- op: convolution_backward.out
+
 - op: copy.out
 
 - op: cos.out
@@ -173,6 +175,8 @@
 
 - op: full.out
 
+- op: gather.out
+
 - op: ge.Scalar_out
 
 - op: ge.Tensor_out
@@ -211,6 +215,8 @@
 
 - op: linalg_vector_norm.out
 
+- op: linear.out
+
 - op: log.out
 
 - op: log10.out
@@ -255,6 +261,8 @@
 
 - op: mul.Scalar_out
 
+- op: narrow_copy.out
+
 - op: native_batch_norm.out
 
 - op: native_group_norm.out
@@ -275,6 +283,8 @@
 
 - op: pixel_shuffle.out
 
+- op: pixel_unshuffle.out
+
 - op: pow.Scalar_out
 
 - op: pow.Tensor_Tensor_out
@@ -317,6 +327,10 @@
 
 - op: scalar_tensor.out
 
+- op: scatter.src_out
+
+- op: scatter.value_out
+
 - op: scatter_add.out
 
 - op: select_copy.int_out
@@ -396,3 +410,9 @@
 - op: zeros_like.out
 
 - op: zeros.out
+
+- op: gather.out
+
+- op: scatter.value_out
+
+- op: aten::native_dropout.out
diff --git a/kernels/optimized/CMakeLists.txt b/kernels/optimized/CMakeLists.txt
index 858e51160e..70d19343e4 100644
--- a/kernels/optimized/CMakeLists.txt
+++ b/kernels/optimized/CMakeLists.txt
@@ -42,7 +42,9 @@ endif()
 # Build cpublas.
 list(TRANSFORM _optimized_cpublas__srcs PREPEND "${EXECUTORCH_ROOT}/")
 add_library(cpublas STATIC ${_optimized_cpublas__srcs})
-target_link_libraries(cpublas PRIVATE executorch_no_prim_ops eigen_blas)
+target_link_libraries(
+  cpublas PRIVATE executorch_no_prim_ops eigen_blas extension_threadpool
+)
 target_compile_options(cpublas PUBLIC ${_common_compile_options})
 
 # Generate C++ bindings to register kernels into both PyTorch (for AOT) and
@@ -58,7 +60,9 @@ message("Generated files ${gen_command_sources}")
 
 list(TRANSFORM _optimized_kernels__srcs PREPEND "${EXECUTORCH_ROOT}/")
 add_library(optimized_kernels ${_optimized_kernels__srcs})
-target_link_libraries(optimized_kernels PRIVATE executorch_no_prim_ops cpublas)
+target_link_libraries(
+  optimized_kernels PRIVATE executorch_no_prim_ops cpublas extension_threadpool
+)
 target_compile_options(optimized_kernels PUBLIC ${_common_compile_options})
 # Build a library for _optimized_kernels_srcs
 #
diff --git a/kernels/optimized/blas/BlasKernel.cpp b/kernels/optimized/blas/BlasKernel.cpp
new file mode 100644
index 0000000000..cfee709ae6
--- /dev/null
+++ b/kernels/optimized/blas/BlasKernel.cpp
@@ -0,0 +1,178 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/kernels/optimized/blas/BlasKernel.h>
+
+#ifdef __aarch64__
+#include <arm_neon.h>
+#include <cpuinfo.h>
+#endif
+
+using torch::executor::BFloat16;
+
+namespace executorch {
+namespace cpublas {
+namespace internal {
+#ifdef __aarch64__
+static inline float32x4_t f32_fma(float32x4_t a, float32x4_t b, float32x4_t c) {
+#ifdef __ARM_FEATURE_FMA
+  return vfmaq_f32(a, b, c);
+#else
+  return vaddq_f32(a, vmulq_f32(b, c));
+#endif // __ARM_FEATURE_FMA
+}
+
+// The below reduce overload and fp16_dot_with_fp32_arith are adapted
+// from llama.cpp's ggml_vec_dot_f32 and surrounding utility
+// functions. See NOTE [ GGML Copyright Notice ] above for the
+// required notice.
+
+// We need the shift for reduce(), hence the extra constants.
+static constexpr auto kF32ElementsPerIterationShift = 5;
+static constexpr auto kF32ElementsPerIteration = 1
+    << kF32ElementsPerIterationShift;
+static_assert(kF32ElementsPerIteration == 32);
+
+static constexpr auto kF32ElementsPerRegisterShift = 2;
+static constexpr auto kF32ElementsPerRegister = 1
+    << kF32ElementsPerRegisterShift;
+static_assert(kF32ElementsPerRegister == 4);
+
+static constexpr auto kF32RegisterPairsPerIteration = 4;
+static constexpr auto kF32RegistersPerIteration =
+    kF32RegisterPairsPerIteration * 2;
+static constexpr auto kF32RegistersPerIterationShift = 3;
+static_assert(
+    kF32RegistersPerIteration ==
+    kF32ElementsPerIteration / kF32ElementsPerRegister);
+static_assert(kF32RegistersPerIteration == 1 << kF32RegistersPerIterationShift);
+
+static inline double reduce(float32x4_t x[kF32RegistersPerIteration]) {
+  int offset = kF32RegistersPerIteration;
+  utils::ForcedUnroll<kF32RegistersPerIterationShift>{}(
+      [&offset, &x](auto idx) ET_INLINE_ATTRIBUTE {
+        offset /= 2;
+        for (int i = 0; i < offset; ++i) {
+          x[i] = vaddq_f32(x[i], x[offset + i]);
+        }
+      });
+  return vaddvq_f32(x[0]);
+}
+
+static ET_INLINE float32x4_t to_bfloat16(uint16x4_t u16) {
+  int32x4_t shift = vdupq_n_s32(16);
+  return vreinterpretq_f32_u32(vshlq_u32(vmovl_u16(u16), shift));
+}
+
+static ET_INLINE float32x4_t
+f32_fma_bf16(float32x4_t a, uint16x4_t b, uint16x4_t c) {
+  return f32_fma(a, to_bfloat16(b), to_bfloat16(c));
+}
+
+#ifdef __ARM_FEATURE_BF16
+static ET_INLINE float32x4_t
+f32_dot_bf16(float32x4_t a, bfloat16x8_t b, bfloat16x8_t c) {
+  return vbfdotq_f32(a, b, c);
+}
+#endif // __ARM_FEATURE_BF16
+
+template <bool useBfloat16Dot>
+static ET_INLINE void dot_with_fp32_arith_main_inner_loop(
+    const BFloat16* vec1,
+    const BFloat16* vec2,
+    float32x4_t sum[kF32RegistersPerIteration],
+    int registerPairIndex) {
+#ifdef __ARM_FEATURE_BF16
+  if (useBfloat16Dot) {
+    const bfloat16x8_t temp_vec1 = vld1q_bf16(reinterpret_cast<const __bf16*>(
+        &vec1[registerPairIndex * 2 * kF32ElementsPerRegister]));
+    const bfloat16x8_t temp_vec2 = vld1q_bf16(reinterpret_cast<const __bf16*>(
+        &vec2[registerPairIndex * 2 * kF32ElementsPerRegister]));
+    sum[registerPairIndex] =
+        f32_dot_bf16(sum[registerPairIndex], temp_vec1, temp_vec2);
+  } else
+#endif // __ARM_FEATURE_BF16
+  {
+    const uint16x8_t temp_vec1 = vld1q_u16(reinterpret_cast<const uint16_t*>(
+        &vec1[registerPairIndex * 2 * kF32ElementsPerRegister]));
+    const uint16x8_t temp_vec2 = vld1q_u16(reinterpret_cast<const uint16_t*>(
+        &vec2[registerPairIndex * 2 * kF32ElementsPerRegister]));
+
+    sum[2 * registerPairIndex] = f32_fma_bf16(
+        sum[2 * registerPairIndex],
+        vget_low_u16(temp_vec1),
+        vget_low_u16(temp_vec2));
+    sum[2 * registerPairIndex + 1] = f32_fma_bf16(
+        sum[2 * registerPairIndex + 1],
+        vget_high_u16(temp_vec1),
+        vget_high_u16(temp_vec2));
+  }
+}
+
+static ET_INLINE void dot_with_fp32_arith_vectorized_tail_inner_loop(
+    const BFloat16* vec1,
+    const BFloat16* vec2,
+    float32x4_t* tailSum,
+    int idx) {
+  const auto temp_vec1 =
+      vld1_u16(reinterpret_cast<const uint16_t*>(&vec1[idx]));
+  const auto temp_vec2 =
+      vld1_u16(reinterpret_cast<const uint16_t*>(&vec2[idx]));
+  *tailSum = f32_fma_bf16(*tailSum, temp_vec1, temp_vec2);
+}
+
+template <typename T, bool useBfloat16Dot>
+float dot_with_fp32_arith(const T* vec1, const T* vec2, int64_t len) {
+  float32x4_t sum[kF32RegistersPerIteration] = {vdupq_n_f32(0)};
+  const auto len_aligned = len & ~(kF32ElementsPerIteration - 1);
+  for (int j = 0; j < len_aligned; j += kF32ElementsPerIteration) {
+    const auto* vec1_ = vec1 + j;
+    const auto* vec2_ = vec2 + j;
+    utils::ForcedUnroll<kF32RegisterPairsPerIteration>{}(
+        [vec1_, vec2_, &sum](auto k) ET_INLINE_ATTRIBUTE {
+          dot_with_fp32_arith_main_inner_loop<useBfloat16Dot>(
+              vec1_, vec2_, sum, k);
+        });
+  }
+  auto reducedSum = reduce(sum);
+
+  // First-tier tail fixup: make sure we handle workloads that can
+  // benefit from vectorization, but don't fit into our fully unrolled
+  // loop above.
+  float32x4_t tailSum = vdupq_n_f32(0);
+  const auto len_aligned_4 = len & ~3;
+  for (int j = len_aligned; j < len_aligned_4; j += 4) {
+    dot_with_fp32_arith_vectorized_tail_inner_loop(vec1, vec2, &tailSum, j);
+  }
+  auto reducedTail = vpaddq_f32(tailSum, tailSum);
+  reducedSum += vgetq_lane_f32(vpaddq_f32(reducedTail, reducedTail), 0);
+
+  // Second-tier tail fixup: handle all workloads.
+  for (int j = len_aligned_4; j < len; ++j) {
+    reducedSum += vec1[j] * vec2[j];
+  }
+  return reducedSum;
+}
+
+float bf16_dot_with_fp32_arith(
+    const BFloat16* vec1,
+    const BFloat16* vec2,
+    int64_t len) {
+#ifdef __ARM_FEATURE_BF16
+  if (cpuinfo_has_arm_bf16()) {
+    return dot_with_fp32_arith<BFloat16, true>(vec1, vec2, len);
+  } else
+#endif // __ARM_FEATURE_BF16
+  {
+    return dot_with_fp32_arith<BFloat16, false>(vec1, vec2, len);
+  }
+}
+#endif // __aarch64__
+} // namespace internal
+} // namespace cpublas
+} // namespace executorch
diff --git a/kernels/optimized/blas/BlasKernel.h b/kernels/optimized/blas/BlasKernel.h
index 10b568c50d..2c03ed0b63 100644
--- a/kernels/optimized/blas/BlasKernel.h
+++ b/kernels/optimized/blas/BlasKernel.h
@@ -11,8 +11,17 @@
 #include <executorch/kernels/optimized/utils/math_utils.h>
 #include <executorch/kernels/optimized/utils/unroll.h>
 
+#include <executorch/extension/parallel/thread_parallel.h>
+#include <executorch/runtime/core/portable_type/bfloat16.h>
+
 #include <array>
 
+namespace torch {
+namespace executor {
+struct BFloat16;
+} // namespace executor
+} // namespace torch
+
 namespace executorch {
 namespace cpublas {
 
@@ -154,6 +163,55 @@ void gemm_transa_(
     a_ += lda;
   }
 }
+
+#ifdef __aarch64__
+namespace internal {
+float bf16_dot_with_fp32_arith(const torch::executor::BFloat16* vec1, const torch::executor::BFloat16* vec2, int64_t len);
+} // namespace internal
+
+template <>
+inline void gemm_transa_<torch::executor::BFloat16, torch::executor::BFloat16>(
+    int64_t m, int64_t n, int64_t k,
+    torch::executor::BFloat16 alpha,
+    const torch::executor::BFloat16 *a, int64_t lda,
+    const torch::executor::BFloat16 *b, int64_t ldb,
+    torch::executor::BFloat16 beta,
+    torch::executor::BFloat16 *c, int64_t ldc) {
+  // c = alpha * (a.T @ b) + beta * c
+  if (alpha == 1 && beta == 0) {
+    executorch::extension::parallel_for(0, m, 1, [&](int64_t begin, int64_t end) {
+      const auto *a_ = a + begin * lda;
+      for (int i = begin; i < end; ++i) {
+        const auto *b_ = b;
+        for (int j = 0; j < n; ++j) {
+          const auto dot = internal::bf16_dot_with_fp32_arith(a_, b_, k);
+          b_ += ldb;
+          c[j*ldc+i] = dot;
+        }
+        a_ += lda;
+      }
+    });
+    return;
+  }
+  executorch::extension::parallel_for(0, m, 1, [&](int64_t begin, int64_t end) {
+    const auto *a_ = a + begin * lda;
+    for (int i = begin; i < end; ++i) {
+      const auto *b_ = b;
+      for (int j = 0; j < n; ++j) {
+        const auto dot = internal::bf16_dot_with_fp32_arith(a_, b_, k);
+        b_ += ldb;
+        if (beta == 0) {
+          c[j*ldc+i] = alpha*dot;
+        } else {
+          c[j*ldc+i] = beta*c[j*ldc+i]+alpha*dot;
+        }
+      }
+      a_ += lda;
+    }
+  });
+}
+#endif
+
 // clang-format on
 
 template <typename scalar_t, typename opmath_t>
diff --git a/kernels/optimized/blas/CPUBlas.cpp b/kernels/optimized/blas/CPUBlas.cpp
index 35b208d30f..d30064b953 100644
--- a/kernels/optimized/blas/CPUBlas.cpp
+++ b/kernels/optimized/blas/CPUBlas.cpp
@@ -24,7 +24,8 @@ extern "C" void sgemm_(char *transa, char *transb, int *m, int *n, int *k, float
 namespace executorch {
 namespace cpublas {
 
-// using Half = exec_aten::Half;
+using exec_aten::BFloat16;
+using exec_aten::Half;
 
 #ifdef ET_BUILD_WITH_BLAS
 #ifdef ET_BUILD_FOR_APPLE
@@ -173,5 +174,28 @@ void gemm(
 }
 // clang-format on
 
+// clang-format off
+void gemm(
+    TransposeType transa, TransposeType transb,
+    int64_t m, int64_t n, int64_t k,
+    const BFloat16 alpha,
+    const BFloat16 *a, int64_t lda,
+    const BFloat16 *b, int64_t ldb,
+    const BFloat16 beta,
+    BFloat16 *c, int64_t ldc) {
+  normalize_last_dims(transa, transb, m, n, k, &lda, &ldb, &ldc);
+
+  using acc_type = utils::compute_dtype<BFloat16>;
+  gemm_impl(
+      transa, transb,
+      m, n, k,
+      static_cast<const acc_type>(alpha),
+      a, lda,
+      b, ldb,
+      static_cast<const acc_type>(beta),
+      c, ldc);
+}
+// clang-format on
+
 } // namespace cpublas
 } // namespace executorch
diff --git a/kernels/optimized/blas/CPUBlas.h b/kernels/optimized/blas/CPUBlas.h
index dd4a24cbce..89f0992e30 100644
--- a/kernels/optimized/blas/CPUBlas.h
+++ b/kernels/optimized/blas/CPUBlas.h
@@ -17,8 +17,6 @@
 namespace executorch {
 namespace cpublas {
 
-using Half = torch::executor::Half;
-
 enum class TransposeType {
   NoTranspose,
   Transpose,
@@ -99,11 +97,20 @@ void gemm(
 void gemm(
     TransposeType transa, TransposeType transb,
     int64_t m, int64_t n, int64_t k,
-    const Half alpha,
-    const Half *a, int64_t lda,
-    const Half *b, int64_t ldb,
-    const Half beta,
-    Half *c, int64_t ldc);
+    const exec_aten::Half alpha,
+    const exec_aten::Half *a, int64_t lda,
+    const exec_aten::Half *b, int64_t ldb,
+    const exec_aten::Half beta,
+    exec_aten::Half *c, int64_t ldc);
+
+void gemm(
+    TransposeType transa, TransposeType transb,
+    int64_t m, int64_t n, int64_t k,
+    const exec_aten::BFloat16 alpha,
+    const exec_aten::BFloat16 *a, int64_t lda,
+    const exec_aten::BFloat16 *b, int64_t ldb,
+    const exec_aten::BFloat16 beta,
+    exec_aten::BFloat16 *c, int64_t ldc);
 // clang-format on
 
 // clang-format off
diff --git a/kernels/optimized/cpu/binary_ops.h b/kernels/optimized/cpu/binary_ops.h
new file mode 100644
index 0000000000..6d941509f7
--- /dev/null
+++ b/kernels/optimized/cpu/binary_ops.h
@@ -0,0 +1,92 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <executorch/runtime/kernel/kernel_includes.h>
+
+namespace torch {
+namespace executor {
+namespace internal {
+// NOTE: we bake ArrayRef iterators being pointers into the return
+// type here because we assume that iterators are portable across
+// ArrayRef copies.
+inline const Tensor::SizesType* arrayref_begin_ignoring_leading_1s(
+    ArrayRef<Tensor::SizesType> arr) {
+  return std::find_if(
+      arr.begin(), arr.end(), [](Tensor::SizesType x) { return x != 1; });
+}
+
+inline bool sizes_match_ignoring_leading_1s(
+    ArrayRef<Tensor::SizesType> lhs,
+    ArrayRef<Tensor::SizesType> rhs) {
+  auto lhs_begin = arrayref_begin_ignoring_leading_1s(lhs);
+  auto lhs_end = lhs.end();
+
+  auto rhs_begin = arrayref_begin_ignoring_leading_1s(rhs);
+  auto rhs_end = rhs.end();
+
+  return ((lhs_end - lhs_begin) == (rhs_end - rhs_begin)) &&
+      std::equal(lhs_begin, lhs_end, rhs_begin);
+}
+} // namespace internal
+
+enum class ElementwiseOptimizedPath {
+  kNone,
+  kTreatAs1d,
+  kBroadcast2dBy1d,
+  kBroadcast2dBy1dReverseArguments,
+};
+
+namespace internal {
+inline ElementwiseOptimizedPath select_broadcast_2d_by_1d_optimized_path(
+    const Tensor& lhs,
+    const Tensor& rhs) {
+  auto lhs_begin = arrayref_begin_ignoring_leading_1s(lhs.sizes());
+  auto lhs_end = lhs.sizes().end();
+
+  auto rhs_begin = arrayref_begin_ignoring_leading_1s(rhs.sizes());
+  auto rhs_end = rhs.sizes().end();
+
+  const auto lhs_size = lhs_end - lhs_begin;
+  const auto rhs_size = rhs_end - rhs_begin;
+  if (lhs_size == 2 && rhs_size == 1 && lhs_begin[1] == rhs_begin[0]) {
+    return ElementwiseOptimizedPath::kBroadcast2dBy1d;
+  }
+
+  if (lhs_size == 1 && rhs_size == 2 && rhs_begin[1] == lhs_begin[0]) {
+    return ElementwiseOptimizedPath::kBroadcast2dBy1dReverseArguments;
+  }
+
+  return ElementwiseOptimizedPath::kNone;
+}
+} // namespace internal
+
+ElementwiseOptimizedPath inline select_optimized_path(
+    const Tensor& a,
+    const Tensor& b,
+    const Tensor& out) {
+  ScalarType a_type = a.scalar_type();
+  ScalarType b_type = b.scalar_type();
+  ScalarType out_type = out.scalar_type();
+
+  if (a_type != b_type || a_type != out_type || a_type == ScalarType::Half ||
+      a_type == ScalarType::BFloat16) {
+    return ElementwiseOptimizedPath::kNone;
+  }
+  if (a.sizes().equals(b.sizes()) ||
+      (a.numel() == b.numel() &&
+       (a.numel() == out.numel() ||
+        internal::sizes_match_ignoring_leading_1s(a.sizes(), b.sizes())))) {
+    return ElementwiseOptimizedPath::kTreatAs1d;
+  }
+  return internal::select_broadcast_2d_by_1d_optimized_path(a, b);
+}
+
+} // namespace executor
+} // namespace torch
diff --git a/kernels/optimized/cpu/moments_utils.h b/kernels/optimized/cpu/moments_utils.h
index ae53b9a4b0..97ea25fa6d 100644
--- a/kernels/optimized/cpu/moments_utils.h
+++ b/kernels/optimized/cpu/moments_utils.h
@@ -45,7 +45,7 @@ void AddMoments(
 }
 
 template <typename T>
-__ET_INLINE void AddMomentsVec(
+ET_INLINE void AddMomentsVec(
     int64_t m0_add,
     const executorch::vec::Vectorized<T>& m1_add,
     const executorch::vec::Vectorized<T>& m2_add,
diff --git a/kernels/optimized/cpu/op_add.cpp b/kernels/optimized/cpu/op_add.cpp
index b62c3b154f..2b31a8d5db 100644
--- a/kernels/optimized/cpu/op_add.cpp
+++ b/kernels/optimized/cpu/op_add.cpp
@@ -6,6 +6,7 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#include <executorch/kernels/optimized/cpu/binary_ops.h>
 #include <executorch/kernels/optimized/vec/functional.h>
 #include <executorch/kernels/optimized/vec/vec.h>
 #include <executorch/kernels/portable/cpu/scalar_utils.h>
@@ -70,7 +71,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& opt_add_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     const Scalar& alpha,
@@ -81,8 +82,41 @@ Tensor& opt_add_out(
   ScalarType b_type = b.scalar_type();
   ScalarType out_type = out.scalar_type();
 
-  if (a_type == b_type && a_type == out_type && a.sizes().equals(b.sizes()) &&
-      a_type != ScalarType::Half) {
+  if (b.numel() == 1) {
+    if (a_type == b_type && a_type == out_type && a_type != ScalarType::Half &&
+        a_type != ScalarType::BFloat16) {
+      ET_KERNEL_CHECK(
+          ctx,
+          resize_to_broadcast_target_size(a, b, out) == Error::Ok,
+          InvalidArgument,
+          out);
+
+      ET_SWITCH_REALB_TYPES(a_type, ctx, "add.out", CTYPE, [&]() {
+        ET_SWITCH_REALB_TYPES(b_type, ctx, "add.out", CTYPE_B, [&]() {
+          CTYPE alpha_val;
+          ET_KERNEL_CHECK(
+              ctx, utils::extract_scalar(alpha, &alpha_val), InvalidArgument, );
+          CTYPE_B b_val = *b.const_data_ptr<CTYPE_B>();
+          CTYPE b_casted = static_cast<CTYPE>(b_val);
+
+          using Vec = executorch::vec::Vectorized<CTYPE>;
+          executorch::vec::map<CTYPE>(
+              [alpha_val, b_casted](Vec x) {
+                return x + Vec(alpha_val * b_casted);
+              },
+              out.mutable_data_ptr<CTYPE>(),
+              a.const_data_ptr<CTYPE>(),
+              out.numel());
+        });
+      });
+      return out;
+    }
+  } else if (a.numel() == 1) {
+    return opt_add_out(ctx, b, a, alpha, out);
+  }
+
+  auto selected_optimized_path = select_optimized_path(a, b, out);
+  if (selected_optimized_path == ElementwiseOptimizedPath::kTreatAs1d) {
     // Resize for dynamic shape
     auto error = resize_tensor(out, a.sizes());
     ET_KERNEL_CHECK_MSG(
@@ -105,6 +139,42 @@ Tensor& opt_add_out(
           b.const_data_ptr<CTYPE>(),
           out.numel());
     });
+  } else if (selected_optimized_path != ElementwiseOptimizedPath::kNone) {
+    const Tensor* lhs;
+    const Tensor* rhs;
+    if (selected_optimized_path ==
+        ElementwiseOptimizedPath::kBroadcast2dBy1dReverseArguments) {
+      lhs = &b;
+      rhs = &a;
+    } else {
+      // Catch failure to update logic when adding new broadcasting possibility.
+      ET_DCHECK(
+          selected_optimized_path ==
+          ElementwiseOptimizedPath::kBroadcast2dBy1d);
+      lhs = &a;
+      rhs = &b;
+    }
+    auto error = resize_tensor(out, lhs->sizes());
+    ET_KERNEL_CHECK_MSG(
+        ctx,
+        error == Error::Ok,
+        InvalidArgument,
+        out,
+        "Failed to resize output tensor.");
+    ET_SWITCH_REALB_TYPES(out_type, ctx, "add.out", CTYPE, [&]() {
+      CTYPE alpha_val;
+      ET_KERNEL_CHECK(
+          ctx, utils::extract_scalar(alpha, &alpha_val), InvalidArgument, );
+
+      using Vec = executorch::vec::Vectorized<CTYPE>;
+      executorch::vec::broadcasting_map_2d_by_1d<CTYPE>(
+          [alpha_val](Vec x, Vec y) { return x + Vec(alpha_val) * y; },
+          out.mutable_data_ptr<CTYPE>(),
+          lhs->const_data_ptr<CTYPE>(),
+          rhs->const_data_ptr<CTYPE>(),
+          lhs->sizes()[lhs->dim() - 2],
+          lhs->sizes()[lhs->dim() - 1]);
+    });
   } else {
     ScalarType common_type =
         promoteTypes(a_type, b_type, /*half_to_float*/ true);
@@ -116,12 +186,12 @@ Tensor& opt_add_out(
         InvalidArgument,
         out);
 
-    ET_SWITCH_REALHB_TYPES(a_type, ctx, "add.out", CTYPE_A, [&]() {
-      ET_SWITCH_REALHB_TYPES(b_type, ctx, "add.out", CTYPE_B, [&]() {
+    ET_SWITCH_REALHBBF16_TYPES(a_type, ctx, "add.out", CTYPE_A, [&]() {
+      ET_SWITCH_REALHBBF16_TYPES(b_type, ctx, "add.out", CTYPE_B, [&]() {
         using CTYPE_IN = typename torch::executor::
             promote_types<CTYPE_A, CTYPE_B, /*half_to_float*/ true>::type;
         ET_DCHECK(CppTypeToScalarType<CTYPE_IN>::value == common_type);
-        ET_SWITCH_REALHB_TYPES(out_type, ctx, "add.out", CTYPE_OUT, [&]() {
+        ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, "add.out", CTYPE_OUT, [&]() {
           CTYPE_IN alpha_val;
           ET_KERNEL_CHECK(
               ctx, utils::extract_scalar(alpha, &alpha_val), InvalidArgument, );
@@ -141,7 +211,7 @@ Tensor& opt_add_out(
 }
 
 Tensor& opt_add_scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     const Scalar& alpha,
@@ -156,7 +226,7 @@ Tensor& opt_add_scalar_out(
 
   ET_CHECK(common_type == out_type);
 
-  if (common_type == ScalarType::Half) {
+  if (common_type == ScalarType::Half || common_type == ScalarType::BFloat16) {
     common_type = ScalarType::Float;
   }
 
@@ -165,7 +235,7 @@ Tensor& opt_add_scalar_out(
   ET_CHECK_MSG(error == Error::Ok, "Failed to resize output tensor.");
 
   if (a_type == common_type && a_type == out_type &&
-      a_type != ScalarType::Half) {
+      a_type != ScalarType::Half && a_type != ScalarType::BFloat16) {
     ET_SWITCH_REALB_TYPES(a_type, ctx, "add.Scalar_out", CTYPE, [&]() {
       ET_SWITCH_SCALAR_OBJ_TYPES(b_type, ctx, "add.Scalar_out", CTYPE_B, [&]() {
         CTYPE_B b_val;
@@ -185,11 +255,11 @@ Tensor& opt_add_scalar_out(
       });
     });
   } else {
-    ET_SWITCH_REALHB_TYPES(a_type, ctx, "add.Scalar_out", CTYPE_A, [&]() {
+    ET_SWITCH_REALHBBF16_TYPES(a_type, ctx, "add.Scalar_out", CTYPE_A, [&]() {
       ET_SWITCH_SCALAR_OBJ_TYPES(b_type, ctx, "add.Scalar_out", CTYPE_B, [&]() {
         ET_SWITCH_REALB_TYPES(
             common_type, ctx, "add.Scalar_out", CTYPE_IN, [&]() {
-              ET_SWITCH_REALHB_TYPES(
+              ET_SWITCH_REALHBBF16_TYPES(
                   out_type, ctx, "add.Scalar_out", CTYPE_OUT, [&]() {
                     CTYPE_B b_val;
                     ET_EXTRACT_SCALAR(b, b_val);
diff --git a/kernels/optimized/cpu/op_bmm.cpp b/kernels/optimized/cpu/op_bmm.cpp
index c8a282c02f..86a318e725 100644
--- a/kernels/optimized/cpu/op_bmm.cpp
+++ b/kernels/optimized/cpu/op_bmm.cpp
@@ -137,7 +137,7 @@ Error resize_out_tensor(const Tensor& self, const Tensor& mat2, Tensor& out) {
 
 // bmm.out(Tensor self, Tensor mat2, *, Tensor(a!) out) -> Tensor(a!)
 Tensor& opt_bmm_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& self,
     const Tensor& mat2,
     Tensor& out) {
diff --git a/kernels/optimized/cpu/op_div.cpp b/kernels/optimized/cpu/op_div.cpp
index cdd156910b..4d7b8efe9e 100644
--- a/kernels/optimized/cpu/op_div.cpp
+++ b/kernels/optimized/cpu/op_div.cpp
@@ -6,6 +6,7 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#include <executorch/kernels/optimized/cpu/binary_ops.h>
 #include <executorch/kernels/optimized/vec/functional.h>
 #include <executorch/kernels/optimized/vec/vec.h>
 #include <executorch/kernels/portable/cpu/scalar_utils.h>
@@ -38,7 +39,7 @@ ScalarType get_compute_type(ScalarType a_type, ScalarType b_type) {
 } // namespace
 
 Tensor& opt_div_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -48,7 +49,58 @@ Tensor& opt_div_out(
   ScalarType b_type = b.scalar_type();
   ScalarType out_type = out.scalar_type();
 
-  if (a_type == b_type && a_type == out_type && a.sizes().equals(b.sizes())) {
+  if (a.numel() == 1 || b.numel() == 1) {
+    if (a_type == b_type && a_type == out_type && a_type != ScalarType::Half) {
+      const Tensor* tensor;
+      const Tensor* scalar;
+      ScalarType tensor_type;
+      ScalarType scalar_type;
+      if (a.numel() == 1) {
+        tensor = &b;
+        tensor_type = b_type;
+        scalar = &a;
+        scalar_type = a_type;
+      } else {
+        tensor = &a;
+        tensor_type = a_type;
+        scalar = &b;
+        scalar_type = b_type;
+      }
+      ET_KERNEL_CHECK(
+          ctx,
+          resize_to_broadcast_target_size(a, b, out) == Error::Ok,
+          InvalidArgument,
+          out);
+      ET_SWITCH_REALB_TYPES(tensor_type, ctx, "div.out", CTYPE, [&]() {
+        ET_SWITCH_REALB_TYPES(scalar_type, ctx, "div.out", CTYPE_SCALAR, [&]() {
+          CTYPE_SCALAR scalar_val = *scalar->const_data_ptr<CTYPE_SCALAR>();
+          CTYPE scalar_casted = static_cast<CTYPE>(scalar_val);
+
+          using Vec = executorch::vec::Vectorized<CTYPE>;
+          if (a.numel() == 1) {
+            executorch::vec::map<CTYPE>(
+                [scalar_casted](Vec x) { return Vec(scalar_casted) / x; },
+                out.mutable_data_ptr<CTYPE>(),
+                tensor->const_data_ptr<CTYPE>(),
+                out.numel());
+          } else {
+            Vec inv_scalar_casted_vec(CTYPE(1) / scalar_casted);
+            executorch::vec::map<CTYPE>(
+                [inv_scalar_casted_vec](Vec x) {
+                  return x * inv_scalar_casted_vec;
+                },
+                out.mutable_data_ptr<CTYPE>(),
+                tensor->const_data_ptr<CTYPE>(),
+                out.numel());
+          }
+        });
+      });
+      return out;
+    }
+  }
+
+  auto selected_optimized_path = select_optimized_path(a, b, out);
+  if (selected_optimized_path == ElementwiseOptimizedPath::kTreatAs1d) {
     // Resize for dynamic shape
     auto error = resize_tensor(out, a.sizes());
     ET_KERNEL_CHECK_MSG(
@@ -67,6 +119,49 @@ Tensor& opt_div_out(
           b.const_data_ptr<CTYPE>(),
           out.numel());
     });
+  } else if (selected_optimized_path != ElementwiseOptimizedPath::kNone) {
+    const Tensor* lhs;
+    const Tensor* rhs;
+    if (selected_optimized_path ==
+        ElementwiseOptimizedPath::kBroadcast2dBy1dReverseArguments) {
+      lhs = &b;
+      rhs = &a;
+    } else {
+      // Catch failure to update logic when subing new broadcasting possibility.
+      ET_DCHECK(
+          selected_optimized_path ==
+          ElementwiseOptimizedPath::kBroadcast2dBy1d);
+      lhs = &a;
+      rhs = &b;
+    }
+    auto error = resize_tensor(out, lhs->sizes());
+    ET_KERNEL_CHECK_MSG(
+        ctx,
+        error == Error::Ok,
+        InvalidArgument,
+        out,
+        "Failed to resize output tensor.");
+    ET_SWITCH_REALB_TYPES(out_type, ctx, "sub.out", CTYPE, [&]() {
+      using Vec = executorch::vec::Vectorized<CTYPE>;
+      if (selected_optimized_path ==
+          ElementwiseOptimizedPath::kBroadcast2dBy1dReverseArguments) {
+        executorch::vec::broadcasting_map_2d_by_1d<CTYPE>(
+            [](Vec x, Vec y) { return y / x; },
+            out.mutable_data_ptr<CTYPE>(),
+            lhs->const_data_ptr<CTYPE>(),
+            rhs->const_data_ptr<CTYPE>(),
+            lhs->sizes()[lhs->dim() - 2],
+            lhs->sizes()[lhs->dim() - 1]);
+      } else {
+        executorch::vec::broadcasting_map_2d_by_1d<CTYPE>(
+            [](Vec x, Vec y) { return x / y; },
+            out.mutable_data_ptr<CTYPE>(),
+            lhs->const_data_ptr<CTYPE>(),
+            rhs->const_data_ptr<CTYPE>(),
+            lhs->sizes()[lhs->dim() - 2],
+            lhs->sizes()[lhs->dim() - 1]);
+      }
+    });
   } else {
     ScalarType common_type = get_compute_type(a_type, b_type);
     ET_KERNEL_CHECK(ctx, canCast(common_type, out_type), InvalidArgument, out);
@@ -77,25 +172,23 @@ Tensor& opt_div_out(
         InvalidArgument,
         out);
 
-    ET_SWITCH_REAL_TYPES_AND(Bool, a_type, ctx, "div.out", CTYPE_A, [&]() {
-      ET_SWITCH_REAL_TYPES_AND(Bool, b_type, ctx, "div.out", CTYPE_B, [&]() {
-        ET_SWITCH_REAL_TYPES_AND(
-            Bool, common_type, ctx, "div.out", CTYPE_IN, [&]() {
-              ET_SWITCH_REAL_TYPES_AND(
-                  Bool, out_type, ctx, "div.out", CTYPE_OUT, [&]() {
-                    apply_binary_elementwise_fn<CTYPE_A, CTYPE_B, CTYPE_OUT>(
-                        [](const CTYPE_A val_a, const CTYPE_B val_b) {
-                          CTYPE_IN a_casted = static_cast<CTYPE_IN>(val_a);
-                          CTYPE_IN b_casted = static_cast<CTYPE_IN>(val_b);
-                          CTYPE_IN value = a_casted / b_casted;
-
-                          return static_cast<CTYPE_OUT>(value);
-                        },
-                        a,
-                        b,
-                        out);
-                  });
-            });
+    ET_SWITCH_REALB_TYPES(a_type, ctx, "div.out", CTYPE_A, [&]() {
+      ET_SWITCH_REALB_TYPES(b_type, ctx, "div.out", CTYPE_B, [&]() {
+        ET_SWITCH_REALB_TYPES(common_type, ctx, "div.out", CTYPE_IN, [&]() {
+          ET_SWITCH_REALB_TYPES(out_type, ctx, "div.out", CTYPE_OUT, [&]() {
+            apply_binary_elementwise_fn<CTYPE_A, CTYPE_B, CTYPE_OUT>(
+                [](const CTYPE_A val_a, const CTYPE_B val_b) {
+                  CTYPE_IN a_casted = static_cast<CTYPE_IN>(val_a);
+                  CTYPE_IN b_casted = static_cast<CTYPE_IN>(val_b);
+                  CTYPE_IN value = a_casted / b_casted;
+
+                  return static_cast<CTYPE_OUT>(value);
+                },
+                a,
+                b,
+                out);
+          });
+        });
       });
     });
   }
@@ -104,7 +197,7 @@ Tensor& opt_div_out(
 }
 
 Tensor& opt_div_scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     Tensor& out) {
@@ -130,8 +223,9 @@ Tensor& opt_div_scalar_out(
             CTYPE b_casted = static_cast<CTYPE>(b_val);
 
             using Vec = executorch::vec::Vectorized<CTYPE>;
+            Vec inv_b_casted_vec(CTYPE(1) / b_casted);
             executorch::vec::map<CTYPE>(
-                [b_casted](Vec x) { return x / Vec(b_casted); },
+                [inv_b_casted_vec](Vec x) { return x * inv_b_casted_vec; },
                 out.mutable_data_ptr<CTYPE>(),
                 a.const_data_ptr<CTYPE>(),
                 out.numel());
@@ -149,6 +243,7 @@ Tensor& opt_div_scalar_out(
                             CTYPE_B b_val;
                             ET_EXTRACT_SCALAR(b, b_val);
                             CTYPE_IN b_casted = static_cast<CTYPE_IN>(b_val);
+                            CTYPE_IN inv_b_casted = CTYPE_IN(1) / b_casted;
 
                             const size_t n = a.numel();
                             const CTYPE_A* a_data = a.const_data_ptr<CTYPE_A>();
@@ -156,7 +251,8 @@ Tensor& opt_div_scalar_out(
                                 out.mutable_data_ptr<CTYPE_OUT>();
                             for (auto i = 0; i < n; ++i) {
                               out_data[i] = static_cast<CTYPE_OUT>(
-                                  static_cast<CTYPE_IN>(a_data[i]) / b_casted);
+                                  static_cast<CTYPE_IN>(a_data[i]) *
+                                  inv_b_casted);
                             }
                           });
                     });
diff --git a/kernels/optimized/cpu/op_exp.cpp b/kernels/optimized/cpu/op_exp.cpp
index cec80b7605..b1b4098525 100644
--- a/kernels/optimized/cpu/op_exp.cpp
+++ b/kernels/optimized/cpu/op_exp.cpp
@@ -27,8 +27,8 @@ template <
     typename CTYPE_OUT,
     typename std::enable_if<
         std::is_same<CTYPE_IN, CTYPE_OUT>::value &&
-            !std::is_same<CTYPE_IN, torch::executor::Half>::value &&
-            !std::is_same<CTYPE_OUT, torch::executor::Half>::value,
+            !std::is_same<CTYPE_IN, exec_aten::Half>::value &&
+            !std::is_same<CTYPE_OUT, exec_aten::Half>::value,
         int>::type = 0>
 void exp_data(
     const CTYPE_IN* in_data,
@@ -47,8 +47,8 @@ template <
     typename CTYPE_OUT,
     typename std::enable_if<
         !std::is_same<CTYPE_IN, CTYPE_OUT>::value ||
-            std::is_same<CTYPE_IN, torch::executor::Half>::value ||
-            std::is_same<CTYPE_OUT, torch::executor::Half>::value,
+            std::is_same<CTYPE_IN, exec_aten::Half>::value ||
+            std::is_same<CTYPE_OUT, exec_aten::Half>::value,
         int>::type = 0>
 void exp_data(
     const CTYPE_IN* in_data,
@@ -62,7 +62,7 @@ void exp_data(
 
 } // namespace
 
-Tensor& opt_exp_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& opt_exp_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   (void)ctx;
 
   // Resize for dynamic shape
diff --git a/kernels/optimized/cpu/op_gelu.cpp b/kernels/optimized/cpu/op_gelu.cpp
index e65f300848..e2c48f61c4 100644
--- a/kernels/optimized/cpu/op_gelu.cpp
+++ b/kernels/optimized/cpu/op_gelu.cpp
@@ -38,7 +38,7 @@ namespace {
  */
 template <typename CTYPE>
 void gelu(
-    exec_aten::RuntimeContext& context,
+    executorch::runtime::KernelRuntimeContext& context,
     const Tensor& input,
     string_view approximate,
     Tensor& output) {
@@ -110,7 +110,7 @@ void gelu(
  * gelu.out(Tensor self, str approximate, *, Tensor(a!) out) -> Tensor(a!)
  */
 Tensor& opt_gelu_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& input,
     string_view approximate,
     Tensor& out) {
diff --git a/kernels/optimized/cpu/op_le.cpp b/kernels/optimized/cpu/op_le.cpp
index 15481403c2..3f4a1fec8b 100644
--- a/kernels/optimized/cpu/op_le.cpp
+++ b/kernels/optimized/cpu/op_le.cpp
@@ -20,7 +20,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& opt_le_tensor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -82,7 +82,7 @@ Tensor& opt_le_tensor_out(
 }
 
 Tensor& opt_le_scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     Tensor& out) {
diff --git a/kernels/optimized/cpu/op_linear.cpp b/kernels/optimized/cpu/op_linear.cpp
new file mode 100644
index 0000000000..56634d326f
--- /dev/null
+++ b/kernels/optimized/cpu/op_linear.cpp
@@ -0,0 +1,80 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/kernels/optimized/blas/CPUBlas.h>
+#include <executorch/kernels/portable/cpu/util/matmul_ops_util.h>
+#include <executorch/runtime/kernel/kernel_includes.h>
+
+#include <array>
+
+namespace torch {
+namespace executor {
+namespace native {
+
+using Tensor = exec_aten::Tensor;
+
+Tensor& opt_linear_out(
+    RuntimeContext& ctx,
+    const Tensor& in,
+    const Tensor& mat2,
+    const optional<Tensor>& bias,
+    Tensor& out) {
+  ET_KERNEL_CHECK_MSG(
+      ctx,
+      !bias.has_value(),
+      InvalidArgument,
+      out,
+      "bias not supported yet in linear");
+  ET_KERNEL_CHECK(ctx, check_linear_args(in, mat2, out), InvalidArgument, out);
+
+  size_t output_ndim = 0;
+  std::array<exec_aten::SizesType, kTensorDimensionLimit> output_sizes;
+  get_linear_out_target_size(in, mat2, output_sizes.data(), &output_ndim);
+  ET_KERNEL_CHECK(
+      ctx,
+      resize_tensor(out, {output_sizes.data(), output_ndim}) == Error::Ok,
+      InvalidArgument,
+      out);
+
+  // gemm on some platforms doesn't tolerate empty input.
+  if (out.numel() == 0) {
+    return out;
+  }
+
+  int flattened_input_dim = 1;
+  for (int ii = 0; ii < in.dim() - 1; ++ii) {
+    flattened_input_dim *= in.sizes()[ii];
+  }
+  ET_SWITCH_REAL_TYPES_AND2(
+      Half, BFloat16, in.scalar_type(), ctx, "mm.out", CTYPE, [&]() {
+        size_t n = flattened_input_dim;
+        size_t k = in.sizes()[in.dim() - 1];
+        size_t m = mat2.size(0);
+
+        executorch::cpublas::gemm(
+            executorch::cpublas::TransposeType::Transpose,
+            executorch::cpublas::TransposeType::NoTranspose,
+            m,
+            n,
+            k,
+            static_cast<CTYPE>(1),
+            mat2.const_data_ptr<CTYPE>(),
+            k,
+            in.const_data_ptr<CTYPE>(),
+            k,
+            static_cast<CTYPE>(0),
+            out.mutable_data_ptr<CTYPE>(),
+            m);
+      });
+
+  return out;
+}
+
+} // namespace native
+} // namespace executor
+} // namespace torch
diff --git a/kernels/optimized/cpu/op_log_softmax.cpp b/kernels/optimized/cpu/op_log_softmax.cpp
index e681a53d2d..362cd10bee 100644
--- a/kernels/optimized/cpu/op_log_softmax.cpp
+++ b/kernels/optimized/cpu/op_log_softmax.cpp
@@ -125,7 +125,7 @@ void log_softmax_wrapper(const Tensor& X, int64_t dim, Tensor& out) {
 // _log_softmax.out(Tensor self, int dim, bool half_to_float, *, Tensor(a!) out)
 // -> Tensor(a!)
 Tensor& opt_log_softmax_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& self,
     int64_t dim,
     bool half_to_float,
diff --git a/kernels/optimized/cpu/op_mm.cpp b/kernels/optimized/cpu/op_mm.cpp
new file mode 100644
index 0000000000..9131356aeb
--- /dev/null
+++ b/kernels/optimized/cpu/op_mm.cpp
@@ -0,0 +1,71 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/kernels/optimized/blas/CPUBlas.h>
+#include <executorch/kernels/portable/cpu/util/matmul_ops_util.h>
+#include <executorch/runtime/kernel/kernel_includes.h>
+
+#include <array>
+
+namespace torch {
+namespace executor {
+namespace native {
+
+using Tensor = exec_aten::Tensor;
+
+Tensor& opt_mm_out(
+    RuntimeContext& ctx,
+    const Tensor& in,
+    const Tensor& mat2,
+    Tensor& out) {
+  ET_KERNEL_CHECK(ctx, check_mm_args(in, mat2, out), InvalidArgument, out);
+
+  size_t output_ndim = 0;
+  std::array<exec_aten::SizesType, kTensorDimensionLimit> output_sizes;
+  get_mm_out_target_size(in, mat2, output_sizes.data(), &output_ndim);
+  ET_KERNEL_CHECK(
+      ctx,
+      resize_tensor(out, {output_sizes.data(), output_ndim}) == Error::Ok,
+      InvalidArgument,
+      out);
+
+  if (out.numel() == 0) {
+    return out;
+  }
+  ET_SWITCH_REAL_TYPES_AND2(
+      Half, BFloat16, in.scalar_type(), ctx, "mm.out", CTYPE, [&]() {
+        size_t n = in.size(0);
+        size_t k = in.size(1);
+        size_t m = mat2.size(1);
+
+        // gemm expects column-major inputs and produces column-major
+        // output. So, we take advantage of the identity (A @ B).t()
+        // = B.t() @ A.t() here; row-major B is B.t() from gemm's
+        // column-major perspective, etc.
+        executorch::cpublas::gemm(
+            executorch::cpublas::TransposeType::NoTranspose,
+            executorch::cpublas::TransposeType::NoTranspose,
+            m,
+            n,
+            k,
+            static_cast<CTYPE>(1),
+            mat2.const_data_ptr<CTYPE>(),
+            m,
+            in.const_data_ptr<CTYPE>(),
+            k,
+            static_cast<CTYPE>(0),
+            out.mutable_data_ptr<CTYPE>(),
+            m);
+      });
+
+  return out;
+}
+
+} // namespace native
+} // namespace executor
+} // namespace torch
diff --git a/kernels/optimized/cpu/op_mul.cpp b/kernels/optimized/cpu/op_mul.cpp
index adcd899915..ad6034638f 100644
--- a/kernels/optimized/cpu/op_mul.cpp
+++ b/kernels/optimized/cpu/op_mul.cpp
@@ -6,6 +6,7 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#include <executorch/kernels/optimized/cpu/binary_ops.h>
 #include <executorch/kernels/optimized/vec/functional.h>
 #include <executorch/kernels/optimized/vec/vec.h>
 #include <executorch/kernels/portable/cpu/scalar_utils.h>
@@ -22,26 +23,6 @@ using ScalarType = exec_aten::ScalarType;
 
 namespace {
 
-// Move to generic util as this is applicable to all binary ops
-bool can_use_optimized_path(
-    const Tensor& a,
-    const Tensor& b,
-    const Tensor& out) {
-  ScalarType a_type = a.scalar_type();
-  ScalarType b_type = b.scalar_type();
-  ScalarType out_type = out.scalar_type();
-
-  bool can_use_optimized_path = true;
-  can_use_optimized_path =
-      can_use_optimized_path && ((a_type == b_type) && (a_type == out_type));
-  can_use_optimized_path = can_use_optimized_path &&
-      (a_type != ScalarType::Half && b_type != ScalarType::Half);
-  can_use_optimized_path = can_use_optimized_path &&
-      (a.sizes().equals(b.sizes()) ||
-       (a.numel() == b.numel() && a.numel() == out.numel()));
-  return can_use_optimized_path;
-}
-
 template <
     bool can_cast,
     typename CTYPE_A,
@@ -88,7 +69,7 @@ struct MulInner<false, CTYPE_A, CTYPE_B, CTYPE_IN, CTYPE_OUT>
 } // namespace
 
 Tensor& opt_mul_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -98,7 +79,36 @@ Tensor& opt_mul_out(
   ScalarType b_type = b.scalar_type();
   ScalarType out_type = out.scalar_type();
 
-  if (can_use_optimized_path(a, b, out)) {
+  if (b.numel() == 1) {
+    if (a_type == b_type && a_type == out_type && a_type != ScalarType::Half &&
+        a_type != ScalarType::BFloat16) {
+      ET_KERNEL_CHECK(
+          ctx,
+          resize_to_broadcast_target_size(a, b, out) == Error::Ok,
+          InvalidArgument,
+          out);
+
+      ET_SWITCH_REALB_TYPES(a_type, ctx, "mul.out", CTYPE, [&]() {
+        ET_SWITCH_REALB_TYPES(b_type, ctx, "mul.out", CTYPE_B, [&]() {
+          CTYPE_B b_val = *b.const_data_ptr<CTYPE_B>();
+          CTYPE b_casted = static_cast<CTYPE>(b_val);
+
+          using Vec = executorch::vec::Vectorized<CTYPE>;
+          executorch::vec::map<CTYPE>(
+              [b_casted](Vec x) { return x * Vec(b_casted); },
+              out.mutable_data_ptr<CTYPE>(),
+              a.const_data_ptr<CTYPE>(),
+              out.numel());
+        });
+      });
+      return out;
+    }
+  } else if (a.numel() == 1) {
+    return opt_mul_out(ctx, b, a, out);
+  }
+
+  auto selected_optimized_path = select_optimized_path(a, b, out);
+  if (selected_optimized_path == ElementwiseOptimizedPath::kTreatAs1d) {
     // Resize for dynamic shape
     auto error = resize_tensor(out, a.sizes());
     ET_KERNEL_CHECK_MSG(
@@ -117,6 +127,38 @@ Tensor& opt_mul_out(
           b.const_data_ptr<CTYPE>(),
           out.numel());
     });
+  } else if (selected_optimized_path != ElementwiseOptimizedPath::kNone) {
+    const Tensor* lhs;
+    const Tensor* rhs;
+    if (selected_optimized_path ==
+        ElementwiseOptimizedPath::kBroadcast2dBy1dReverseArguments) {
+      lhs = &b;
+      rhs = &a;
+    } else {
+      // Catch failure to update logic when adding new broadcasting possibility.
+      ET_DCHECK(
+          selected_optimized_path ==
+          ElementwiseOptimizedPath::kBroadcast2dBy1d);
+      lhs = &a;
+      rhs = &b;
+    }
+    auto error = resize_tensor(out, lhs->sizes());
+    ET_KERNEL_CHECK_MSG(
+        ctx,
+        error == Error::Ok,
+        InvalidArgument,
+        out,
+        "Failed to resize output tensor.");
+    ET_SWITCH_REALB_TYPES(out_type, ctx, "mul.out", CTYPE, [&]() {
+      using Vec = executorch::vec::Vectorized<CTYPE>;
+      executorch::vec::broadcasting_map_2d_by_1d<CTYPE>(
+          [](Vec x, Vec y) { return x * y; },
+          out.mutable_data_ptr<CTYPE>(),
+          lhs->const_data_ptr<CTYPE>(),
+          rhs->const_data_ptr<CTYPE>(),
+          lhs->sizes()[lhs->dim() - 2],
+          lhs->sizes()[lhs->dim() - 1]);
+    });
   } else {
     ScalarType common_type =
         promoteTypes(a_type, b_type, /*half_to_float*/ true);
@@ -128,12 +170,12 @@ Tensor& opt_mul_out(
         InvalidArgument,
         out);
 
-    ET_SWITCH_REALHB_TYPES(a_type, ctx, "mul.out", CTYPE_A, [&]() {
-      ET_SWITCH_REALHB_TYPES(b_type, ctx, "mul.out", CTYPE_B, [&]() {
+    ET_SWITCH_REALHBBF16_TYPES(a_type, ctx, "mul.out", CTYPE_A, [&]() {
+      ET_SWITCH_REALHBBF16_TYPES(b_type, ctx, "mul.out", CTYPE_B, [&]() {
         using CTYPE_IN = typename torch::executor::
             promote_types<CTYPE_A, CTYPE_B, /*half_to_float*/ true>::type;
         ET_DCHECK(CppTypeToScalarType<CTYPE_IN>::value == common_type);
-        ET_SWITCH_REALHB_TYPES(out_type, ctx, "mul.out", CTYPE_OUT, [&]() {
+        ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, "mul.out", CTYPE_OUT, [&]() {
           apply_binary_elementwise_fn<CTYPE_A, CTYPE_B, CTYPE_OUT>(
               [](const CTYPE_A val_a, const CTYPE_B val_b) {
                 CTYPE_IN a_casted = static_cast<CTYPE_IN>(val_a);
@@ -154,7 +196,7 @@ Tensor& opt_mul_out(
 }
 
 Tensor& opt_mul_scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     Tensor& out) {
@@ -168,7 +210,7 @@ Tensor& opt_mul_scalar_out(
 
   ET_CHECK(common_type == out_type);
 
-  if (common_type == ScalarType::Half) {
+  if (common_type == ScalarType::Half || common_type == ScalarType::BFloat16) {
     common_type = ScalarType::Float;
   }
 
@@ -177,7 +219,7 @@ Tensor& opt_mul_scalar_out(
   ET_CHECK_MSG(error == Error::Ok, "Failed to resize output tensor.");
 
   if (a_type == common_type && a_type == out_type &&
-      a_type != ScalarType::Half) {
+      a_type != ScalarType::Half && a_type != ScalarType::BFloat16) {
     ET_SWITCH_REALB_TYPES(a_type, ctx, "mul.Scalar_out", CTYPE, [&]() {
       ET_SWITCH_SCALAR_OBJ_TYPES(b_type, ctx, "mul.Scalar_out", CTYPE_B, [&]() {
         CTYPE_B b_val;
@@ -193,11 +235,11 @@ Tensor& opt_mul_scalar_out(
       });
     });
   } else {
-    ET_SWITCH_REALHB_TYPES(a_type, ctx, "mul.Scalar_out", CTYPE_A, [&]() {
+    ET_SWITCH_REALHBBF16_TYPES(a_type, ctx, "mul.Scalar_out", CTYPE_A, [&]() {
       ET_SWITCH_SCALAR_OBJ_TYPES(b_type, ctx, "mul.Scalar_out", CTYPE_B, [&]() {
         ET_SWITCH_REALB_TYPES(
             common_type, ctx, "mul.Scalar_out", CTYPE_IN, [&]() {
-              ET_SWITCH_REALHB_TYPES(
+              ET_SWITCH_REALHBBF16_TYPES(
                   out_type, ctx, "mul.Scalar_out", CTYPE_OUT, [&]() {
                     CTYPE_B b_val;
                     ET_EXTRACT_SCALAR(b, b_val);
diff --git a/kernels/optimized/cpu/op_native_layer_norm.cpp b/kernels/optimized/cpu/op_native_layer_norm.cpp
index 73f3805585..d04265f336 100644
--- a/kernels/optimized/cpu/op_native_layer_norm.cpp
+++ b/kernels/optimized/cpu/op_native_layer_norm.cpp
@@ -112,7 +112,7 @@ void layer_norm(
 } // namespace
 
 std::tuple<Tensor&, Tensor&, Tensor&> opt_native_layer_norm_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& input,
     IntArrayRef normalized_shape,
     const exec_aten::optional<Tensor>& weight,
diff --git a/kernels/optimized/cpu/op_neg.cpp b/kernels/optimized/cpu/op_neg.cpp
index 861c7aebee..c46a004e0b 100644
--- a/kernels/optimized/cpu/op_neg.cpp
+++ b/kernels/optimized/cpu/op_neg.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& opt_neg_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& opt_neg_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   (void)ctx;
 
   // Resize for dynamic shape
diff --git a/kernels/optimized/cpu/op_sub.cpp b/kernels/optimized/cpu/op_sub.cpp
index 87368f3ed7..ce82e49cc2 100644
--- a/kernels/optimized/cpu/op_sub.cpp
+++ b/kernels/optimized/cpu/op_sub.cpp
@@ -6,6 +6,7 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#include <executorch/kernels/optimized/cpu/binary_ops.h>
 #include <executorch/kernels/optimized/vec/functional.h>
 #include <executorch/kernels/optimized/vec/vec.h>
 #include <executorch/kernels/portable/cpu/scalar_utils.h>
@@ -71,7 +72,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& opt_sub_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     const Scalar& alpha,
@@ -83,9 +84,62 @@ Tensor& opt_sub_out(
   ScalarType out_type = out.scalar_type();
 
   ET_KERNEL_CHECK(ctx, tensor_is_realh_type(out), InvalidArgument, out);
+  if (a.numel() == 1 || b.numel() == 1) {
+    if (a_type == b_type && a_type == out_type && a_type != ScalarType::Half) {
+      const Tensor* tensor;
+      const Tensor* scalar;
+      ScalarType tensor_type;
+      ScalarType scalar_type;
+      if (a.numel() == 1) {
+        tensor = &b;
+        tensor_type = b_type;
+        scalar = &a;
+        scalar_type = a_type;
+      } else {
+        tensor = &a;
+        tensor_type = a_type;
+        scalar = &b;
+        scalar_type = b_type;
+      }
+      ET_KERNEL_CHECK(
+          ctx,
+          resize_to_broadcast_target_size(a, b, out) == Error::Ok,
+          InvalidArgument,
+          out);
+      ET_SWITCH_REAL_TYPES(tensor_type, ctx, "sub.out", CTYPE, [&]() {
+        ET_SWITCH_REAL_TYPES(scalar_type, ctx, "sub.out", CTYPE_SCALAR, [&]() {
+          CTYPE alpha_val;
+          ET_KERNEL_CHECK(
+              ctx, utils::extract_scalar(alpha, &alpha_val), InvalidArgument, );
+          CTYPE_SCALAR scalar_val = *scalar->const_data_ptr<CTYPE_SCALAR>();
+          CTYPE scalar_casted = static_cast<CTYPE>(scalar_val);
 
-  if (a_type == b_type && a_type == out_type && a.sizes().equals(b.sizes()) &&
-      a_type != ScalarType::Half) {
+          using Vec = executorch::vec::Vectorized<CTYPE>;
+          if (a.numel() == 1) {
+            executorch::vec::map<CTYPE>(
+                [alpha_val, scalar_casted](Vec x) {
+                  return Vec(scalar_casted) - Vec(alpha_val) * x;
+                },
+                out.mutable_data_ptr<CTYPE>(),
+                tensor->const_data_ptr<CTYPE>(),
+                out.numel());
+          } else {
+            executorch::vec::map<CTYPE>(
+                [alpha_val, scalar_casted](Vec x) {
+                  return x - Vec(alpha_val * scalar_casted);
+                },
+                out.mutable_data_ptr<CTYPE>(),
+                tensor->const_data_ptr<CTYPE>(),
+                out.numel());
+          }
+        });
+      });
+    }
+    return out;
+  }
+
+  auto selected_optimized_path = select_optimized_path(a, b, out);
+  if (selected_optimized_path == ElementwiseOptimizedPath::kTreatAs1d) {
     // Resize for dynamic shape
     auto error = resize_tensor(out, a.sizes());
     ET_KERNEL_CHECK_MSG(
@@ -95,7 +149,7 @@ Tensor& opt_sub_out(
         out,
         "Failed to resize output tensor.");
 
-    ET_SWITCH_REAL_TYPES(out_type, ctx, "sub.out", CTYPE, [&]() {
+    ET_SWITCH_REAL_TYPES(a_type, ctx, "sub.out", CTYPE, [&]() {
       CTYPE alpha_val;
       ET_KERNEL_CHECK(
           ctx, utils::extract_scalar(alpha, &alpha_val), InvalidArgument, );
@@ -108,6 +162,53 @@ Tensor& opt_sub_out(
           b.const_data_ptr<CTYPE>(),
           out.numel());
     });
+  } else if (selected_optimized_path != ElementwiseOptimizedPath::kNone) {
+    const Tensor* lhs;
+    const Tensor* rhs;
+    if (selected_optimized_path ==
+        ElementwiseOptimizedPath::kBroadcast2dBy1dReverseArguments) {
+      lhs = &b;
+      rhs = &a;
+    } else {
+      // Catch failure to update logic when subing new broadcasting possibility.
+      ET_DCHECK(
+          selected_optimized_path ==
+          ElementwiseOptimizedPath::kBroadcast2dBy1d);
+      lhs = &a;
+      rhs = &b;
+    }
+    auto error = resize_tensor(out, lhs->sizes());
+    ET_KERNEL_CHECK_MSG(
+        ctx,
+        error == Error::Ok,
+        InvalidArgument,
+        out,
+        "Failed to resize output tensor.");
+    ET_SWITCH_REAL_TYPES(out_type, ctx, "sub.out", CTYPE, [&]() {
+      CTYPE alpha_val;
+      ET_KERNEL_CHECK(
+          ctx, utils::extract_scalar(alpha, &alpha_val), InvalidArgument, );
+
+      using Vec = executorch::vec::Vectorized<CTYPE>;
+      if (selected_optimized_path ==
+          ElementwiseOptimizedPath::kBroadcast2dBy1dReverseArguments) {
+        executorch::vec::broadcasting_map_2d_by_1d<CTYPE>(
+            [alpha_val](Vec x, Vec y) { return y - Vec(alpha_val) * x; },
+            out.mutable_data_ptr<CTYPE>(),
+            lhs->const_data_ptr<CTYPE>(),
+            rhs->const_data_ptr<CTYPE>(),
+            lhs->sizes()[lhs->dim() - 2],
+            lhs->sizes()[lhs->dim() - 1]);
+      } else {
+        executorch::vec::broadcasting_map_2d_by_1d<CTYPE>(
+            [alpha_val](Vec x, Vec y) { return x - Vec(alpha_val) * y; },
+            out.mutable_data_ptr<CTYPE>(),
+            lhs->const_data_ptr<CTYPE>(),
+            rhs->const_data_ptr<CTYPE>(),
+            lhs->sizes()[lhs->dim() - 2],
+            lhs->sizes()[lhs->dim() - 1]);
+      }
+    });
   } else {
     ScalarType common_type =
         promoteTypes(a_type, b_type, /*half_to_float*/ true);
@@ -128,6 +229,7 @@ Tensor& opt_sub_out(
           CTYPE_IN alpha_val;
           ET_KERNEL_CHECK(
               ctx, utils::extract_scalar(alpha, &alpha_val), InvalidArgument, );
+
           SubInner<
               can_cast<CTYPE_IN, CTYPE_OUT>::value,
               CTYPE_A,
@@ -143,7 +245,7 @@ Tensor& opt_sub_out(
 }
 
 Tensor& opt_sub_scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     const Scalar& alpha,
diff --git a/kernels/optimized/cpu/targets.bzl b/kernels/optimized/cpu/targets.bzl
index d62568f313..488d2af7fa 100644
--- a/kernels/optimized/cpu/targets.bzl
+++ b/kernels/optimized/cpu/targets.bzl
@@ -5,6 +5,7 @@ _OPTIMIZED_ATEN_OPS = (
     op_target(
         name = "op_add",
         deps = [
+            ":binary_ops",
             "//executorch/kernels/portable/cpu:scalar_utils",
             "//executorch/kernels/portable/cpu/util:broadcast_util",
         ],
@@ -18,6 +19,7 @@ _OPTIMIZED_ATEN_OPS = (
     op_target(
         name = "op_div",
         deps = [
+            ":binary_ops",
             "//executorch/kernels/portable/cpu:scalar_utils",
             "//executorch/kernels/portable/cpu/util:broadcast_util",
         ],
@@ -38,6 +40,13 @@ _OPTIMIZED_ATEN_OPS = (
             "//executorch/kernels/portable/cpu:scalar_utils",
         ],
     ),
+    op_target(
+        name = "op_linear",
+        deps = [
+            "//executorch/kernels/optimized:libblas",
+            "//executorch/kernels/portable/cpu/util:matmul_ops_util",
+        ],
+    ),
     op_target(
         name = "op_log_softmax",
         deps = select({
@@ -50,9 +59,17 @@ _OPTIMIZED_ATEN_OPS = (
             ],
         }),
     ),
+    op_target(
+        name = "op_mm",
+        deps = [
+            "//executorch/kernels/optimized:libblas",
+            "//executorch/kernels/portable/cpu/util:matmul_ops_util",
+        ],
+    ),
     op_target(
         name = "op_mul",
         deps = [
+            ":binary_ops",
             "//executorch/kernels/portable/cpu:scalar_utils",
             "//executorch/kernels/portable/cpu/util:broadcast_util",
         ],
@@ -68,6 +85,7 @@ _OPTIMIZED_ATEN_OPS = (
     op_target(
         name = "op_sub",
         deps = [
+            ":binary_ops",
             "//executorch/kernels/portable/cpu:scalar_utils",
             "//executorch/kernels/portable/cpu/util:broadcast_util",
         ],
@@ -90,6 +108,13 @@ def define_common_targets():
     aten_op_targets = [":{}".format(op["name"]) for op in enabled_ops]
     all_op_targets = aten_op_targets
 
+    runtime.cxx_library(
+        name = "binary_ops",
+        exported_headers = ["binary_ops.h"],
+        visibility = ["//executorch/kernels/optimized/cpu/..."],
+        exported_deps = ["//executorch/runtime/core:core"],
+    )
+
     runtime.cxx_library(
         name = "cpu_optimized",
         srcs = [],
diff --git a/kernels/optimized/lib_defs.bzl b/kernels/optimized/lib_defs.bzl
index 39c94f70fd..11a5f3a966 100644
--- a/kernels/optimized/lib_defs.bzl
+++ b/kernels/optimized/lib_defs.bzl
@@ -1,4 +1,6 @@
 load("@fbsource//tools/build_defs:default_platform_defs.bzl", "DEVSERVER_PLATFORM_REGEX")
+load("@fbsource//tools/build_defs:fb_native_wrapper.bzl", "fb_native")
+load("@fbsource//xplat/executorch/backends/xnnpack/third-party:third_party_libs.bzl", "third_party_dep")
 load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
 
 # Because vec exists as a collection of header files, compile and preprocessor
@@ -94,49 +96,86 @@ def define_libs():
             "@EXECUTORCH_CLIENTS",
         ],
         exported_deps = [
-            # Needed to access the __ET_INLINE macro
+            # Needed to access the ET_INLINE macro
             "//executorch/runtime/platform:compiler",
         ],
     )
 
-    runtime.cxx_library(
-        name = "libblas",
-        srcs = native.glob([
-            "blas/**/*.cpp",
-        ]),
-        exported_headers = native.glob([
-            "blas/**/*.h",
-        ]),
-        header_namespace = "executorch/kernels/optimized",
-        visibility = [
-            "//executorch/...",
-            "@EXECUTORCH_CLIENTS",
-        ],
-        fbandroid_platform_preprocessor_flags = [
-            (
-                "^android-arm64.*$",
-                [
-                    "-DET_BUILD_WITH_BLAS",
-                ],
-            ),
-        ],
-        fbandroid_platform_deps = [
-            (
-                "^android-arm64.*$",
-                [
-                    "fbsource//third-party/openblas:openblas",
-                ],
-            ),
-        ],
-        fbobjc_exported_preprocessor_flags = [
-            "-DET_BUILD_WITH_BLAS",
-            "-DET_BUILD_FOR_APPLE",
-        ],
-        fbobjc_frameworks = [
-            "Accelerate",
-        ],
-        exported_deps = [
-            "//executorch/kernels/optimized:libutils",
-            "//executorch/runtime/core/exec_aten:lib",
+    # OSS doesn't have ovr_config//os:linux-x86_64
+    fb_native.config_setting(
+        name = "linux-x86_64",
+        constraint_values = [
+            "ovr_config//os/constraints:linux",
+            "ovr_config//cpu/constraints:x86_64",
         ],
     )
+
+    LIBBLAS_DEPS = [third_party_dep("cpuinfo")]
+
+    for libblas_name, mkl_dep in [("libblas", "fbsource//third-party/mkl:mkl_lp64_omp"), ("libblas_mkl_noomp", "fbsource//third-party/mkl:mkl")]:
+        runtime.cxx_library(
+            name = libblas_name,
+            srcs = native.glob([
+                "blas/**/*.cpp",
+            ]),
+            exported_headers = native.glob([
+                "blas/**/*.h",
+            ]),
+            header_namespace = "executorch/kernels/optimized",
+            visibility = [
+                "//executorch/...",
+                "@EXECUTORCH_CLIENTS",
+            ],
+            preprocessor_flags = select({
+                ":linux-x86_64": [
+                    "-DET_BUILD_WITH_BLAS",
+                ] if not runtime.is_oss else [],
+                "DEFAULT": [],
+            }),
+            fbandroid_platform_compiler_flags = [
+                (
+                    "^android-arm64.*$",
+                    [
+                        "-march=armv8+bf16",
+                    ],
+                ),
+            ],
+            fbandroid_platform_preprocessor_flags = [
+                (
+                    "^android-arm64.*$",
+                    [
+                        "-DET_BUILD_WITH_BLAS",
+                    ],
+                ),
+            ],
+            fbandroid_platform_deps = [
+                (
+                    "^android-arm64.*$",
+                    [
+                        "fbsource//third-party/openblas:openblas",
+                    ],
+                ),
+            ],
+            fbobjc_platform_compiler_flags = [
+                (
+                    ".*arm64.*",
+                    ["-march=armv8+bf16"],
+                ),
+            ],
+            fbobjc_exported_preprocessor_flags = [
+                "-DET_BUILD_WITH_BLAS",
+                "-DET_BUILD_FOR_APPLE",
+            ],
+            fbobjc_frameworks = [
+                "Accelerate",
+            ],
+            deps = select({
+                ":linux-x86_64": [mkl_dep] if not runtime.is_oss else [],
+                "DEFAULT": [],
+            }) + LIBBLAS_DEPS,
+            exported_deps = [
+                "//executorch/extension/parallel:thread_parallel",
+                "//executorch/kernels/optimized:libutils",
+                "//executorch/runtime/core/exec_aten:lib",
+            ],
+        )
diff --git a/kernels/optimized/optimized-oss.yaml b/kernels/optimized/optimized-oss.yaml
index f79d652b91..797744f3bd 100644
--- a/kernels/optimized/optimized-oss.yaml
+++ b/kernels/optimized/optimized-oss.yaml
@@ -45,6 +45,11 @@
     - arg_meta: null
       kernel_name: torch::executor::opt_le_tensor_out
 
+- op: linear.out
+  kernels:
+    - arg_meta: null
+      kernel_name: torch::executor::opt_linear_out
+
 - op: mul.out
   kernels:
     - arg_meta: null
diff --git a/kernels/optimized/optimized.yaml b/kernels/optimized/optimized.yaml
index 0d445deb3e..2421673f8a 100644
--- a/kernels/optimized/optimized.yaml
+++ b/kernels/optimized/optimized.yaml
@@ -52,6 +52,16 @@
     - arg_meta: null
       kernel_name: torch::executor::opt_le_tensor_out
 
+- op: linear.out
+  kernels:
+    - arg_meta: null
+      kernel_name: torch::executor::opt_linear_out
+
+- op: mm.out
+  kernels:
+    - arg_meta: null
+      kernel_name: torch::executor::opt_mm_out
+
 - op: mul.out
   kernels:
     - arg_meta: null
diff --git a/kernels/optimized/targets.bzl b/kernels/optimized/targets.bzl
index c06a1dc079..88afe5011d 100644
--- a/kernels/optimized/targets.bzl
+++ b/kernels/optimized/targets.bzl
@@ -19,6 +19,14 @@ def define_common_targets():
         ],
     )
 
+    runtime.export_file(
+        name = "optimized-oss.yaml",
+        visibility = [
+            "//executorch/...",
+            "@EXECUTORCH_CLIENTS",
+        ],
+    )
+
     runtime.cxx_library(
         name = "optimized_operators",
         srcs = [],
diff --git a/kernels/optimized/test/libblas_test.cpp b/kernels/optimized/test/libblas_test.cpp
index 8f30a357e1..24aeaba776 100644
--- a/kernels/optimized/test/libblas_test.cpp
+++ b/kernels/optimized/test/libblas_test.cpp
@@ -9,6 +9,7 @@
 #include <gtest/gtest.h>
 
 #include <executorch/kernels/optimized/blas/CPUBlas.h>
+#include <executorch/runtime/core/exec_aten/exec_aten.h>
 
 #include <vector>
 
@@ -17,7 +18,8 @@
   _<float, N>();                           \
   _<int64_t, N>();                         \
   _<uint8_t, N>();                         \
-  _<int32_t, N>();
+  _<int32_t, N>();                         \
+  _<exec_aten::BFloat16, N>();
 
 namespace {
 
diff --git a/kernels/optimized/utils/unroll.h b/kernels/optimized/utils/unroll.h
index bf17e19bd6..5514ef6f92 100644
--- a/kernels/optimized/utils/unroll.h
+++ b/kernels/optimized/utils/unroll.h
@@ -22,7 +22,7 @@ namespace utils {
 template <int n>
 struct ForcedUnroll {
   template <typename Func>
-  __ET_INLINE void operator()(const Func& f) const {
+  ET_INLINE void operator()(const Func& f) const {
     ForcedUnroll<n - 1>{}(f);
     f(n - 1);
   }
@@ -31,7 +31,7 @@ struct ForcedUnroll {
 template <>
 struct ForcedUnroll<1> {
   template <typename Func>
-  __ET_INLINE void operator()(const Func& f) const {
+  ET_INLINE void operator()(const Func& f) const {
     f(0);
   }
 };
diff --git a/kernels/optimized/vec/functional_base.h b/kernels/optimized/vec/functional_base.h
index 50141c2ec3..7edb043abc 100644
--- a/kernels/optimized/vec/functional_base.h
+++ b/kernels/optimized/vec/functional_base.h
@@ -325,5 +325,40 @@ inline void map4(
   }
 }
 
+
+// Map vec_fun across input_data and input_data2, where input_data is
+// a two-dimensional array of size (size, size2), input_data2 is a
+// one-dimensional array of size size2, and input_data2 is broadcast
+// to be of size (size, size2).
+template <typename scalar_t, typename Op>
+inline void broadcasting_map_2d_by_1d(
+    const Op& vec_fun,
+    scalar_t* output_data,
+    const scalar_t* input_data,
+    const scalar_t* input_data2,
+    int64_t size,
+    int64_t size2) {
+  using Vec = vec::Vectorized<scalar_t>;
+  for (int64_t outer_idx = 0; outer_idx < size; ++outer_idx) {
+    const scalar_t* input_data_row = input_data + outer_idx * size2;
+    scalar_t* output_data_row = output_data + outer_idx * size2;
+    int64_t inner_idx = 0;
+    for (; inner_idx < size2 - (size2 % Vec::size()); inner_idx += Vec::size()) {
+      Vec data_vec = Vec::loadu(input_data_row + inner_idx);
+      Vec data_vec2 = Vec::loadu(input_data2 + inner_idx);
+      Vec output_vec = vec_fun(data_vec, data_vec2);
+      output_vec.store(output_data_row + inner_idx);
+    }
+    if (size2 - inner_idx > 0) {
+      Vec data_vec = Vec::loadu(input_data_row + inner_idx, size2 - inner_idx);
+      Vec data_vec2 = Vec::loadu(input_data2 + inner_idx, size2 - inner_idx);
+      Vec output_vec = vec_fun(data_vec, data_vec2);
+      output_vec.store(output_data_row + inner_idx, size2 - inner_idx);
+    }
+  }
+}
+
+
+
 } // namespace vec
 } // namespace executorch
diff --git a/kernels/portable/CMakeLists.txt b/kernels/portable/CMakeLists.txt
index eb3cedd5b3..885c509246 100644
--- a/kernels/portable/CMakeLists.txt
+++ b/kernels/portable/CMakeLists.txt
@@ -38,12 +38,11 @@ list(FILTER _portable_kernels__srcs EXCLUDE REGEX "test/*.cpp")
 list(FILTER _portable_kernels__srcs EXCLUDE REGEX "codegen")
 # Generate C++ bindings to register kernels into both PyTorch (for AOT) and
 # Executorch (for runtime). Here select all ops in functions.yaml
-set(_yaml "${CMAKE_CURRENT_LIST_DIR}/functions.yaml")
+set(_yaml "${CMAKE_CURRENT_SOURCE_DIR}/functions.yaml")
 gen_selected_ops(LIB_NAME "portable_ops_lib" OPS_SCHEMA_YAML "${_yaml}")
 # Expect gen_selected_ops output file to be selected_operators.yaml
 generate_bindings_for_kernels(
-  LIB_NAME "portable_ops_lib" FUNCTIONS_YAML
-  ${CMAKE_CURRENT_SOURCE_DIR}/functions.yaml
+  LIB_NAME "portable_ops_lib" FUNCTIONS_YAML "${_yaml}"
 )
 message("Generated files ${gen_command_sources}")
 
diff --git a/kernels/portable/cpu/op__to_dim_order_copy.cpp b/kernels/portable/cpu/op__to_dim_order_copy.cpp
index c7941f6098..31dd4fbb9d 100644
--- a/kernels/portable/cpu/op__to_dim_order_copy.cpp
+++ b/kernels/portable/cpu/op__to_dim_order_copy.cpp
@@ -78,7 +78,7 @@ void _to_dim_order_copy_impl(const Tensor& self, Tensor& out) {
 // _to_dim_order_copy.out(Tensor self, *, bool non_blocking=False, int[]?
 // dim_order=None, Tensor(a!) out) -> Tensor(a!)
 Tensor& _to_dim_order_copy_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& self,
     bool non_blocking,
     OptionalArrayRef<int64_t> dim_order,
@@ -118,7 +118,7 @@ Tensor& _to_dim_order_copy_out(
     bool non_blocking,
     OptionalArrayRef<int64_t> dim_order,
     Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return _to_dim_order_copy_out(context, self, non_blocking, dim_order, out);
 }
 
diff --git a/kernels/portable/cpu/op_abs.cpp b/kernels/portable/cpu/op_abs.cpp
index 0dd925a0e2..5d0fcbaaa4 100644
--- a/kernels/portable/cpu/op_abs.cpp
+++ b/kernels/portable/cpu/op_abs.cpp
@@ -16,7 +16,7 @@ namespace native {
 
 using exec_aten::Tensor;
 
-Tensor& abs_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& abs_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   (void)ctx;
 
   // Resize for dynamic shape
@@ -28,6 +28,8 @@ Tensor& abs_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
       "Failed to resize output tensor.");
 
   ET_KERNEL_CHECK(ctx, tensors_have_same_dtype(in, out), InvalidArgument, out);
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
 
   ET_SWITCH_REAL_TYPES(in.scalar_type(), ctx, "abs.out", CTYPE, [&] {
     apply_unary_map_fn(
diff --git a/kernels/portable/cpu/op_acos.cpp b/kernels/portable/cpu/op_acos.cpp
index 006d8f6053..46f9f965bb 100644
--- a/kernels/portable/cpu/op_acos.cpp
+++ b/kernels/portable/cpu/op_acos.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& acos_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& acos_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::acos, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_acosh.cpp b/kernels/portable/cpu/op_acosh.cpp
index f688829beb..d1d3b0aa23 100644
--- a/kernels/portable/cpu/op_acosh.cpp
+++ b/kernels/portable/cpu/op_acosh.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& acosh_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& acosh_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::acosh, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_add.cpp b/kernels/portable/cpu/op_add.cpp
index 33662ecc55..8b6dbec1a4 100644
--- a/kernels/portable/cpu/op_add.cpp
+++ b/kernels/portable/cpu/op_add.cpp
@@ -67,7 +67,7 @@ struct AddInner<false, CTYPE_A, CTYPE_B, CTYPE_IN, CTYPE_OUT>
 } // namespace
 
 Tensor& add_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     const Scalar& alpha,
@@ -78,7 +78,13 @@ Tensor& add_out(
       InvalidArgument,
       out);
 
-  ET_KERNEL_CHECK(ctx, tensor_is_realhb_type(out), InvalidArgument, out);
+  ET_KERNEL_CHECK(
+      ctx,
+      executorch::runtime::tensor_is_realhbbf16_type(out),
+      InvalidArgument,
+      out);
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, b, out), InvalidArgument, out);
 
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = b.scalar_type();
@@ -92,15 +98,15 @@ Tensor& add_out(
 
   constexpr auto name = "add.out";
 
-  ET_SWITCH_REALHB_TYPES(a_type, ctx, name, CTYPE_A, [&]() {
-    ET_SWITCH_REALHB_TYPES(b_type, ctx, name, CTYPE_B, [&]() {
+  ET_SWITCH_REALHBBF16_TYPES(a_type, ctx, name, CTYPE_A, [&]() {
+    ET_SWITCH_REALHBBF16_TYPES(b_type, ctx, name, CTYPE_B, [&]() {
       using CTYPE_IN = typename torch::executor::
           promote_types<CTYPE_A, CTYPE_B, /*half_to_float*/ true>::type;
       ET_DCHECK(CppTypeToScalarType<CTYPE_IN>::value == common_type);
       CTYPE_IN alpha_val;
       utils::extract_scalar(alpha, &alpha_val);
 
-      ET_SWITCH_REALHB_TYPES(out_type, ctx, name, CTYPE_OUT, [&]() {
+      ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&]() {
         AddInner<
             can_cast<CTYPE_IN, CTYPE_OUT>::value,
             CTYPE_A,
@@ -115,7 +121,7 @@ Tensor& add_out(
 }
 
 Tensor& add_scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     const Scalar& alpha,
@@ -130,7 +136,13 @@ Tensor& add_scalar_out(
       out,
       "Failed to resize output tensor.");
 
-  ET_KERNEL_CHECK(ctx, tensor_is_realhb_type(out), InvalidArgument, out);
+  ET_KERNEL_CHECK(
+      ctx,
+      executorch::runtime::tensor_is_realhbbf16_type(out),
+      InvalidArgument,
+      out);
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
 
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = utils::get_scalar_dtype(b);
@@ -149,7 +161,7 @@ Tensor& add_scalar_out(
 
   constexpr auto name = "add.Scalar_out";
 
-  ET_SWITCH_REALHB_TYPES(a_type, ctx, name, CTYPE_A, [&]() {
+  ET_SWITCH_REALHBBF16_TYPES(a_type, ctx, name, CTYPE_A, [&]() {
     ET_SWITCH_SCALAR_OBJ_TYPES(b_type, ctx, name, CTYPE_B, [&]() {
       using CTYPE_IN = typename utils::promote_type_with_scalar_type<
           CTYPE_A,
diff --git a/kernels/portable/cpu/op_addmm.cpp b/kernels/portable/cpu/op_addmm.cpp
index 2f4745bb51..952c233024 100644
--- a/kernels/portable/cpu/op_addmm.cpp
+++ b/kernels/portable/cpu/op_addmm.cpp
@@ -20,7 +20,7 @@ using Tensor = exec_aten::Tensor;
 using Scalar = exec_aten::Scalar;
 
 Tensor& addmm_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     const Tensor& mat1,
     const Tensor& mat2,
@@ -45,6 +45,14 @@ Tensor& addmm_out(
   ET_KERNEL_CHECK(
       ctx, tensor_is_broadcastable_to(in, out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx,
+      tensors_have_same_dim_order(in, mat1, mat2, out),
+      InvalidArgument,
+      out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
   ScalarType alpha_dtype = utils::get_scalar_dtype(alpha);
   ScalarType beta_dtype = utils::get_scalar_dtype(beta);
   ET_SWITCH_REAL_TYPES_AND(
diff --git a/kernels/portable/cpu/op_alias_copy.cpp b/kernels/portable/cpu/op_alias_copy.cpp
index 72fd945e98..a532b47c25 100644
--- a/kernels/portable/cpu/op_alias_copy.cpp
+++ b/kernels/portable/cpu/op_alias_copy.cpp
@@ -16,7 +16,8 @@ namespace native {
 
 using Tensor = exec_aten::Tensor;
 
-Tensor& alias_copy_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor&
+alias_copy_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   (void)ctx;
 
   // Resize for dynamic shape
@@ -28,6 +29,8 @@ Tensor& alias_copy_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
       "Failed to resize output tensor.");
 
   ET_KERNEL_CHECK(ctx, tensors_have_same_dtype(in, out), InvalidArgument, out);
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
 
   if (in.nbytes() > 0) {
     // Note that this check is important. It's valid for a tensor with numel 0
diff --git a/kernels/portable/cpu/op_allclose.cpp b/kernels/portable/cpu/op_allclose.cpp
index b12b0a02c2..a896d9a852 100644
--- a/kernels/portable/cpu/op_allclose.cpp
+++ b/kernels/portable/cpu/op_allclose.cpp
@@ -96,14 +96,17 @@ Tensor& allclose_out(
     const Tensor& other,
     double rtol,
     double atol,
-    __ET_UNUSED bool equal_nan,
-    __ET_UNUSED bool dummy_param,
+    ET_UNUSED bool equal_nan,
+    ET_UNUSED bool dummy_param,
     Tensor& out) {
   ET_CHECK_SAME_SHAPE_AND_DTYPE2(self, other);
   ET_CHECK_MSG(
       out.scalar_type() == ScalarType::Bool,
       "Out tensor must be type Bool; saw type %" PRId8,
       static_cast<int8_t>(out.scalar_type()));
+  ET_CHECK_MSG(
+      tensors_have_same_dim_order(self, other, out),
+      "self, other and out tensors should have same dim order");
   ET_CHECK_MSG(
       out.numel() == 1,
       "Out tensor must be a single element; saw %zu elements",
@@ -126,12 +129,12 @@ Tensor& allclose_out(
  * ExecuTorch runtime.
  */
 Tensor allclose_tensor(
-    __ET_UNUSED const Tensor& self,
-    __ET_UNUSED const Tensor& other,
-    __ET_UNUSED double rtol,
-    __ET_UNUSED double atol,
-    __ET_UNUSED bool equal_nan,
-    __ET_UNUSED bool dummy_param) {
+    ET_UNUSED const Tensor& self,
+    ET_UNUSED const Tensor& other,
+    ET_UNUSED double rtol,
+    ET_UNUSED double atol,
+    ET_UNUSED bool equal_nan,
+    ET_UNUSED bool dummy_param) {
 #ifdef USE_ATEN_LIB
   Tensor out =
       torch::tensor({false}, c10::TensorOptions(c10::ScalarType::Bool));
@@ -143,13 +146,13 @@ Tensor allclose_tensor(
 }
 
 Tensor& allclose_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& self,
     const Tensor& other,
     double rtol,
     double atol,
-    __ET_UNUSED bool equal_nan,
-    __ET_UNUSED bool dummy_param,
+    ET_UNUSED bool equal_nan,
+    ET_UNUSED bool dummy_param,
     Tensor& out) {
   (void)ctx;
   // TODO(larryliu): Add a context arg to the real op function and remove this
@@ -158,13 +161,13 @@ Tensor& allclose_out(
 }
 
 Tensor allclose_tensor(
-    __ET_UNUSED RuntimeContext& ctx,
-    __ET_UNUSED const Tensor& self,
-    __ET_UNUSED const Tensor& other,
-    __ET_UNUSED double rtol,
-    __ET_UNUSED double atol,
-    __ET_UNUSED bool equal_nan,
-    __ET_UNUSED bool dummy_param) {
+    ET_UNUSED KernelRuntimeContext& ctx,
+    ET_UNUSED const Tensor& self,
+    ET_UNUSED const Tensor& other,
+    ET_UNUSED double rtol,
+    ET_UNUSED double atol,
+    ET_UNUSED bool equal_nan,
+    ET_UNUSED bool dummy_param) {
   // TODO(larryliu): Add a context arg to the real op function and remove this
   // wrapper
   ET_ASSERT_UNREACHABLE();
diff --git a/kernels/portable/cpu/op_amax.cpp b/kernels/portable/cpu/op_amax.cpp
index d3994f1efd..088c30a375 100644
--- a/kernels/portable/cpu/op_amax.cpp
+++ b/kernels/portable/cpu/op_amax.cpp
@@ -20,7 +20,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& amax_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     ArrayRef<int64_t> dim_list,
     bool keepdim,
@@ -39,6 +39,9 @@ Tensor& amax_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ET_SWITCH_REAL_TYPES_AND(
       Bool, in.scalar_type(), ctx, "amax.out", CTYPE, [&]() {
         CTYPE* out_data = out.mutable_data_ptr<CTYPE>();
diff --git a/kernels/portable/cpu/op_amin.cpp b/kernels/portable/cpu/op_amin.cpp
index f150e0eb7d..9f2aa38c89 100644
--- a/kernels/portable/cpu/op_amin.cpp
+++ b/kernels/portable/cpu/op_amin.cpp
@@ -20,7 +20,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& amin_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     ArrayRef<int64_t> dim_list,
     bool keepdim,
@@ -39,6 +39,9 @@ Tensor& amin_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ET_SWITCH_REAL_TYPES_AND(
       Bool, in.scalar_type(), ctx, "amin.out", CTYPE, [&]() {
         CTYPE* out_data = out.mutable_data_ptr<CTYPE>();
diff --git a/kernels/portable/cpu/op_any.cpp b/kernels/portable/cpu/op_any.cpp
index ca94247551..e2bd8ebe19 100644
--- a/kernels/portable/cpu/op_any.cpp
+++ b/kernels/portable/cpu/op_any.cpp
@@ -16,12 +16,15 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
-Tensor& any_all_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& any_all_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   (void)ctx;
 
   ET_KERNEL_CHECK(
       ctx, resize_tensor(out, {}) == Error::Ok, InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ScalarType in_type = in.scalar_type();
   ScalarType out_type = out.scalar_type();
   constexpr auto name = "any.all_out";
@@ -44,7 +47,7 @@ Tensor& any_all_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
 }
 
 Tensor& any_dims_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     optional<ArrayRef<int64_t>> dim_list,
     bool keepdim,
@@ -68,6 +71,9 @@ Tensor& any_dims_out(
         out);
   }
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ScalarType in_type = in.scalar_type();
   ScalarType out_type = out.scalar_type();
   constexpr auto name = "any.dims_out";
@@ -102,7 +108,7 @@ Tensor& any_dims_out(
 }
 
 Tensor& any_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     int64_t dim,
     bool keepdim,
@@ -122,6 +128,9 @@ Tensor& any_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ScalarType in_type = in.scalar_type();
   ScalarType out_type = out.scalar_type();
   constexpr auto name = "any.out";
diff --git a/kernels/portable/cpu/op_arange.cpp b/kernels/portable/cpu/op_arange.cpp
index a8fc3ce96a..80a8142117 100644
--- a/kernels/portable/cpu/op_arange.cpp
+++ b/kernels/portable/cpu/op_arange.cpp
@@ -19,7 +19,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& arange_out(RuntimeContext& ctx, const Scalar& end, Tensor& out) {
+Tensor& arange_out(KernelRuntimeContext& ctx, const Scalar& end, Tensor& out) {
   double end_val = 0;
   ET_KERNEL_CHECK(
       ctx, utils::extract_scalar(end, &end_val), InvalidArgument, out);
@@ -27,6 +27,8 @@ Tensor& arange_out(RuntimeContext& ctx, const Scalar& end, Tensor& out) {
   ET_KERNEL_CHECK(
       ctx, check_arange_args(0.0, end_val, 1.0, out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(out), InvalidArgument, out);
+
   size_t size = static_cast<size_t>(std::ceil(end_val));
 
   Tensor::SizesType out_length = static_cast<Tensor::SizesType>(size);
@@ -48,7 +50,7 @@ Tensor& arange_out(RuntimeContext& ctx, const Scalar& end, Tensor& out) {
 }
 
 Tensor& arange_start_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Scalar& start,
     const Scalar& end,
     const Scalar& step,
@@ -73,6 +75,8 @@ Tensor& arange_start_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(out), InvalidArgument, out);
+
   double size_d = (d_end - d_start) / d_step;
   size_t size = static_cast<size_t>(std::ceil(size_d));
 
diff --git a/kernels/portable/cpu/op_argmax.cpp b/kernels/portable/cpu/op_argmax.cpp
index c59be11bc0..b8adb43ac3 100644
--- a/kernels/portable/cpu/op_argmax.cpp
+++ b/kernels/portable/cpu/op_argmax.cpp
@@ -21,7 +21,7 @@ using exec_aten::optional;
 using exec_aten::Tensor;
 
 Tensor& argmax_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     optional<int64_t> dim,
     bool keepdim,
@@ -40,6 +40,9 @@ Tensor& argmax_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ET_SWITCH_REAL_TYPES(in.scalar_type(), ctx, "argmax.out", CTYPE, [&] {
     long* out_data = out.mutable_data_ptr<long>();
 
diff --git a/kernels/portable/cpu/op_argmin.cpp b/kernels/portable/cpu/op_argmin.cpp
index e0609c9e5c..fbeafb8d33 100644
--- a/kernels/portable/cpu/op_argmin.cpp
+++ b/kernels/portable/cpu/op_argmin.cpp
@@ -21,7 +21,7 @@ using exec_aten::optional;
 using exec_aten::Tensor;
 
 Tensor& argmin_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     optional<int64_t> dim,
     bool keepdim,
@@ -40,6 +40,9 @@ Tensor& argmin_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ET_SWITCH_REAL_TYPES(in.scalar_type(), ctx, "argmin.out", CTYPE, [&] {
     long* out_data = out.mutable_data_ptr<long>();
 
diff --git a/kernels/portable/cpu/op_as_strided_copy.cpp b/kernels/portable/cpu/op_as_strided_copy.cpp
index 17ebc41087..d18323b92f 100644
--- a/kernels/portable/cpu/op_as_strided_copy.cpp
+++ b/kernels/portable/cpu/op_as_strided_copy.cpp
@@ -17,7 +17,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& as_strided_copy_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     ArrayRef<int64_t> size,
     ArrayRef<int64_t> stride,
@@ -37,6 +37,11 @@ Tensor& as_strided_copy_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
   if (in.numel() == 0) {
     return out;
   }
diff --git a/kernels/portable/cpu/op_asin.cpp b/kernels/portable/cpu/op_asin.cpp
index 7c69c06230..0200009b33 100644
--- a/kernels/portable/cpu/op_asin.cpp
+++ b/kernels/portable/cpu/op_asin.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& asin_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& asin_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::asin, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_asinh.cpp b/kernels/portable/cpu/op_asinh.cpp
index 471d54f093..17336618a1 100644
--- a/kernels/portable/cpu/op_asinh.cpp
+++ b/kernels/portable/cpu/op_asinh.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& asinh_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& asinh_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::asinh, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_atan.cpp b/kernels/portable/cpu/op_atan.cpp
index ad2e355e05..0c980c6a78 100644
--- a/kernels/portable/cpu/op_atan.cpp
+++ b/kernels/portable/cpu/op_atan.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& atan_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& atan_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::atan, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_atan2.cpp b/kernels/portable/cpu/op_atan2.cpp
index 36ba53830b..bae4106f99 100644
--- a/kernels/portable/cpu/op_atan2.cpp
+++ b/kernels/portable/cpu/op_atan2.cpp
@@ -17,8 +17,11 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
-Tensor&
-atan2_out(RuntimeContext& ctx, const Tensor& a, const Tensor& b, Tensor& out) {
+Tensor& atan2_out(
+    KernelRuntimeContext& ctx,
+    const Tensor& a,
+    const Tensor& b,
+    Tensor& out) {
   // Determine output size and resize for dynamic shapes
   ET_KERNEL_CHECK(
       ctx,
@@ -26,6 +29,9 @@ atan2_out(RuntimeContext& ctx, const Tensor& a, const Tensor& b, Tensor& out) {
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, b, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = b.scalar_type();
   ScalarType out_type = out.scalar_type();
diff --git a/kernels/portable/cpu/op_atanh.cpp b/kernels/portable/cpu/op_atanh.cpp
index 368eb507cd..2c13fb6efd 100644
--- a/kernels/portable/cpu/op_atanh.cpp
+++ b/kernels/portable/cpu/op_atanh.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& atanh_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& atanh_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::atanh, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_avg_pool2d.cpp b/kernels/portable/cpu/op_avg_pool2d.cpp
index 42e3cd7fca..6d479bea46 100644
--- a/kernels/portable/cpu/op_avg_pool2d.cpp
+++ b/kernels/portable/cpu/op_avg_pool2d.cpp
@@ -21,7 +21,7 @@ using ScalarType = exec_aten::ScalarType;
 using IntArrayRef = exec_aten::ArrayRef<int64_t>;
 
 Tensor& avg_pool2d_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     IntArrayRef kernel_size,
     IntArrayRef stride,
@@ -44,6 +44,11 @@ Tensor& avg_pool2d_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
   size_t output_ndim = 0;
   exec_aten::SizesType output_sizes[kTensorDimensionLimit];
   get_avg_pool2d_out_target_size(
diff --git a/kernels/portable/cpu/op_bitwise_and.cpp b/kernels/portable/cpu/op_bitwise_and.cpp
index de137afbec..92ba2c024d 100644
--- a/kernels/portable/cpu/op_bitwise_and.cpp
+++ b/kernels/portable/cpu/op_bitwise_and.cpp
@@ -22,7 +22,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& bitwise_and_Tensor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -32,6 +32,9 @@ Tensor& bitwise_and_Tensor_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, b, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = b.scalar_type();
   ScalarType common_type = promoteTypes(a_type, b_type);
@@ -68,7 +71,7 @@ Tensor& bitwise_and_Tensor_out(
 }
 
 Tensor& bitwise_and_Scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     Tensor& out) {
@@ -82,6 +85,9 @@ Tensor& bitwise_and_Scalar_out(
       out,
       "Failed to resize output tensor.");
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = utils::get_scalar_dtype(b);
   ScalarType common_type = utils::promote_type_with_scalar(a_type, b);
diff --git a/kernels/portable/cpu/op_bitwise_not.cpp b/kernels/portable/cpu/op_bitwise_not.cpp
index 157d2fd173..ccbfc0b74b 100644
--- a/kernels/portable/cpu/op_bitwise_not.cpp
+++ b/kernels/portable/cpu/op_bitwise_not.cpp
@@ -21,7 +21,8 @@ using exec_aten::Tensor;
  * Computes the bitwise NOT of the given input tensor. The input tensor must be
  * of Integral or Boolean types. For bool tensors, it computes the logical NOT.
  **/
-Tensor& bitwise_not_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor&
+bitwise_not_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   (void)ctx;
 
   // Resize for dynamic shape
@@ -33,6 +34,8 @@ Tensor& bitwise_not_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
       "Failed to resize output tensor.");
 
   ET_KERNEL_CHECK(ctx, tensors_have_same_dtype(in, out), InvalidArgument, out);
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
 
   if (in.scalar_type() == exec_aten::ScalarType::Bool) {
     apply_unary_map_fn(
diff --git a/kernels/portable/cpu/op_bitwise_or.cpp b/kernels/portable/cpu/op_bitwise_or.cpp
index 39707de07c..5fdd02f3ae 100644
--- a/kernels/portable/cpu/op_bitwise_or.cpp
+++ b/kernels/portable/cpu/op_bitwise_or.cpp
@@ -22,7 +22,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& bitwise_or_Tensor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -32,6 +32,9 @@ Tensor& bitwise_or_Tensor_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, b, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = b.scalar_type();
   ScalarType common_type = promoteTypes(a_type, b_type);
@@ -68,12 +71,15 @@ Tensor& bitwise_or_Tensor_out(
 }
 
 Tensor& bitwise_or_Scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     Tensor& out) {
   (void)ctx;
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
+
   // Resize for dynamic shape
   ET_KERNEL_CHECK_MSG(
       ctx,
diff --git a/kernels/portable/cpu/op_bitwise_xor.cpp b/kernels/portable/cpu/op_bitwise_xor.cpp
index 1855485ee5..aed9429d6b 100644
--- a/kernels/portable/cpu/op_bitwise_xor.cpp
+++ b/kernels/portable/cpu/op_bitwise_xor.cpp
@@ -22,7 +22,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& bitwise_xor_Tensor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -32,6 +32,9 @@ Tensor& bitwise_xor_Tensor_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, b, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = b.scalar_type();
   ScalarType common_type = promoteTypes(a_type, b_type);
@@ -68,7 +71,7 @@ Tensor& bitwise_xor_Tensor_out(
 }
 
 Tensor& bitwise_xor_Scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     Tensor& out) {
@@ -82,6 +85,9 @@ Tensor& bitwise_xor_Scalar_out(
       out,
       "Failed to resize output tensor.");
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = utils::get_scalar_dtype(b);
   ScalarType common_type = utils::promote_type_with_scalar(a_type, b);
diff --git a/kernels/portable/cpu/op_bmm.cpp b/kernels/portable/cpu/op_bmm.cpp
index e36a4c2e41..8ab7a1b8ec 100644
--- a/kernels/portable/cpu/op_bmm.cpp
+++ b/kernels/portable/cpu/op_bmm.cpp
@@ -17,12 +17,17 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& bmm_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     const Tensor& mat2,
     Tensor& out) {
   ET_KERNEL_CHECK(ctx, check_bmm_args(in, mat2, out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, mat2, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
   size_t output_ndim = 0;
   exec_aten::SizesType output_sizes[kTensorDimensionLimit];
   get_bmm_out_target_size(in, mat2, output_sizes, &output_ndim);
diff --git a/kernels/portable/cpu/op_cat.cpp b/kernels/portable/cpu/op_cat.cpp
index 8ad4556a11..566937caf1 100644
--- a/kernels/portable/cpu/op_cat.cpp
+++ b/kernels/portable/cpu/op_cat.cpp
@@ -18,7 +18,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& cat_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     exec_aten::ArrayRef<Tensor> tensors,
     int64_t dim,
     Tensor& out) {
diff --git a/kernels/portable/cpu/op_cdist_forward.cpp b/kernels/portable/cpu/op_cdist_forward.cpp
index 5f43580692..657de86ac1 100644
--- a/kernels/portable/cpu/op_cdist_forward.cpp
+++ b/kernels/portable/cpu/op_cdist_forward.cpp
@@ -116,7 +116,7 @@ void cdist(const Tensor& x1, const Tensor& x2, Tensor& out, double p) {
 } // namespace
 
 Tensor& _cdist_forward_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& x1,
     const Tensor& x2,
     double p,
@@ -124,6 +124,11 @@ Tensor& _cdist_forward_out(
     Tensor& out) {
   (void)ctx;
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(x1, x2, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(x1), InvalidArgument, out);
+
   ET_KERNEL_CHECK(
       ctx,
       check_cdist_args(x1, x2, p, compute_mode, out),
diff --git a/kernels/portable/cpu/op_ceil.cpp b/kernels/portable/cpu/op_ceil.cpp
index d4a24a36af..f6e9951d5e 100644
--- a/kernels/portable/cpu/op_ceil.cpp
+++ b/kernels/portable/cpu/op_ceil.cpp
@@ -16,7 +16,7 @@ namespace native {
 
 using exec_aten::Tensor;
 
-Tensor& ceil_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& ceil_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realh(std::ceil, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_clamp.cpp b/kernels/portable/cpu/op_clamp.cpp
index 50d7e8c374..ec34fa9bd3 100644
--- a/kernels/portable/cpu/op_clamp.cpp
+++ b/kernels/portable/cpu/op_clamp.cpp
@@ -35,7 +35,7 @@ bool is_out_of_bounds(CTYPE_VAL val) {
       val_cast > std::numeric_limits<CTYPE_OUT>::max();
 }
 
-__ET_NODISCARD bool check_bounds(
+ET_NODISCARD bool check_bounds(
     const Scalar& val_scalar,
     const torch::executor::native::ScalarType& val_type,
     const torch::executor::native::ScalarType& out_type,
@@ -69,7 +69,7 @@ __ET_NODISCARD bool check_bounds(
 } // namespace
 
 Tensor& clamp_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     const exec_aten::optional<Scalar>& min_opt,
     const exec_aten::optional<Scalar>& max_opt,
@@ -83,6 +83,9 @@ Tensor& clamp_out(
       out,
       "Failed to resize output tensor.");
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ScalarType in_type = in.scalar_type();
   ScalarType min_type = in_type;
   ScalarType max_type = in_type;
@@ -162,7 +165,7 @@ Tensor& clamp_out(
 }
 
 Tensor& clamp_tensor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     const exec_aten::optional<Tensor>& min_opt,
     const exec_aten::optional<Tensor>& max_opt,
@@ -182,6 +185,12 @@ Tensor& clamp_tensor_out(
   const Tensor& min = has_min ? min_opt.value() : in;
   const Tensor& max = has_max ? max_opt.value() : in;
 
+  ET_KERNEL_CHECK(
+      ctx,
+      tensors_have_same_dim_order(in, min, max, out),
+      InvalidArgument,
+      out);
+
   ET_KERNEL_CHECK(
       ctx,
       resize_to_broadcast_target_size(in, min, max, out) == Error::Ok,
diff --git a/kernels/portable/cpu/op_clone.cpp b/kernels/portable/cpu/op_clone.cpp
index a49f4169db..4350cee432 100644
--- a/kernels/portable/cpu/op_clone.cpp
+++ b/kernels/portable/cpu/op_clone.cpp
@@ -19,7 +19,7 @@ using Tensor = exec_aten::Tensor;
 // clone.out(Tensor self, *, MemoryFormat? memory_format=None, Tensor(a!) out)
 // -> Tensor(a!)
 Tensor& clone_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& self,
     exec_aten::optional<exec_aten::MemoryFormat> memory_format,
     Tensor& out) {
@@ -38,6 +38,9 @@ Tensor& clone_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      context, tensors_have_same_dim_order(self, out), InvalidArgument, out);
+
   // Right now we only focus on contiguous memory, memory_format shall always
   // either a nullopt or exec::aten::MemoryFormat::Contiguous
   ET_KERNEL_CHECK(
diff --git a/kernels/portable/cpu/op_constant_pad_nd.cpp b/kernels/portable/cpu/op_constant_pad_nd.cpp
index 32a3985b29..28b0c4b034 100644
--- a/kernels/portable/cpu/op_constant_pad_nd.cpp
+++ b/kernels/portable/cpu/op_constant_pad_nd.cpp
@@ -160,7 +160,7 @@ void constant_pad_nd_out_impl(
 } // namespace
 
 Tensor& constant_pad_nd_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     IntArrayRef pad,
     const Scalar& value,
@@ -170,6 +170,9 @@ Tensor& constant_pad_nd_out(
   ET_KERNEL_CHECK(
       ctx, check_constant_pad_args(in, pad, value, out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   // resize out tensor for dynamic shapes
   ET_KERNEL_CHECK_MSG(
       ctx,
diff --git a/kernels/portable/cpu/op_convolution.cpp b/kernels/portable/cpu/op_convolution.cpp
index 81a0747e45..af6b164f30 100644
--- a/kernels/portable/cpu/op_convolution.cpp
+++ b/kernels/portable/cpu/op_convolution.cpp
@@ -336,7 +336,7 @@ void convolution_wrapper(
 } // namespace
 
 Tensor& convolution_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     const Tensor& weight,
     const exec_aten::optional<Tensor>& bias,
@@ -365,6 +365,9 @@ Tensor& convolution_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   size_t output_ndim = 0;
   exec_aten::SizesType output_sizes[kTensorDimensionLimit];
   get_convolution_out_target_size(
diff --git a/kernels/portable/cpu/op_convolution_backward.cpp b/kernels/portable/cpu/op_convolution_backward.cpp
new file mode 100644
index 0000000000..6e0a93aade
--- /dev/null
+++ b/kernels/portable/cpu/op_convolution_backward.cpp
@@ -0,0 +1,312 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <cstring>
+
+#include <executorch/kernels/portable/cpu/util/kernel_ops_util.h>
+#include <executorch/runtime/kernel/kernel_includes.h>
+#include <tuple>
+
+namespace torch {
+namespace executor {
+namespace native {
+
+using Tensor = exec_aten::Tensor;
+using ScalarType = exec_aten::ScalarType;
+using IntArrayRef = exec_aten::ArrayRef<int64_t>;
+using OptIntArrayRef = exec_aten::OptionalArrayRef<int64_t>;
+
+namespace {
+
+bool check_convolution_backward_args(
+    const Tensor& grad_output,
+    const Tensor& input,
+    const Tensor& weight,
+    ET_UNUSED const OptIntArrayRef bias_sizes_opt,
+    IntArrayRef stride,
+    IntArrayRef padding,
+    IntArrayRef dilation,
+    bool transposed,
+    IntArrayRef output_padding,
+    int64_t groups,
+    ET_UNUSED exec_aten::ArrayRef<bool> output_mask,
+    Tensor& grad_input,
+    Tensor& grad_weight,
+    Tensor& grad_bias) {
+  ET_LOG_MSG_AND_RETURN_IF_FALSE(
+      transposed == false, "Transposed Convolution Backward not supported yet");
+  ET_LOG_MSG_AND_RETURN_IF_FALSE(
+      weight.dim() == 4, "Only 2D Convolution Backward supported for now");
+
+  ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_dtype(weight, input));
+  ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_dtype(grad_output, input));
+  ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_dtype(grad_input, input));
+  ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_dtype(grad_weight, input));
+  ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_dtype(grad_bias, input));
+
+  ET_LOG_MSG_AND_RETURN_IF_FALSE(
+      check_convolution_args(
+          input,
+          weight,
+          exec_aten::optional<Tensor>(),
+          stride,
+          padding,
+          dilation,
+          transposed,
+          output_padding,
+          groups,
+          grad_output),
+      "Invalid convolution arguments");
+
+  size_t output_ndim = 0;
+  exec_aten::SizesType output_sizes[kTensorDimensionLimit];
+  get_convolution_out_target_size(
+      input,
+      weight,
+      stride,
+      padding,
+      dilation,
+      transposed,
+      output_padding,
+      groups,
+      output_sizes,
+      &output_ndim);
+
+  ET_LOG_AND_RETURN_IF_FALSE(
+      output_size_is_valid({output_sizes, output_ndim}, input.dim() - 2));
+
+  ET_LOG_MSG_AND_RETURN_IF_FALSE(
+      grad_output.dim() == input.dim(),
+      "grad_output should have same number of dimensions as input");
+
+  ET_LOG_AND_RETURN_IF_FALSE(
+      tensor_has_expected_size(grad_output, {output_sizes, output_ndim}));
+
+  return true;
+}
+
+template <typename CTYPE>
+void conv2d_backward_impl(
+    const Tensor& grad_output,
+    const Tensor& input,
+    const Tensor& weight,
+    IntArrayRef stride,
+    IntArrayRef padding,
+    IntArrayRef dilation,
+    int64_t groups,
+    exec_aten::ArrayRef<bool> output_mask,
+    Tensor& grad_input,
+    Tensor& grad_weight,
+    Tensor& grad_bias) {
+  auto batch_size = input.size(0);
+  auto in_channels = input.size(1);
+  auto out_channels = weight.size(0);
+  auto in_height = input.size(2);
+  auto in_width = input.size(3);
+  auto out_height = grad_output.size(2);
+  auto out_width = grad_output.size(3);
+  auto kernel_height = weight.size(2);
+  auto kernel_width = weight.size(3);
+
+  const int64_t stride_h = val_at(stride, 0);
+  const int64_t padding_h = val_at(padding, 0, /*default_value=*/0);
+  const int64_t dilation_h = val_at(dilation, 0);
+  const int64_t stride_w = val_at(stride, 1);
+  const int64_t padding_w = val_at(padding, 1, /*default_value=*/0);
+  const int64_t dilation_w = val_at(dilation, 1);
+
+  auto in_channels_per_group = in_channels / groups;
+  auto out_channels_per_group = out_channels / groups;
+
+  const CTYPE* grad_output_data = grad_output.const_data_ptr<CTYPE>();
+  const CTYPE* input_data = input.const_data_ptr<CTYPE>();
+  const CTYPE* weight_data = weight.const_data_ptr<CTYPE>();
+
+  CTYPE* grad_input_data = nullptr;
+  CTYPE* grad_weight_data = nullptr;
+  CTYPE* grad_bias_data = nullptr;
+
+  if (output_mask[0]) {
+    grad_input_data = grad_input.mutable_data_ptr<CTYPE>();
+    memset(grad_input_data, 0, grad_input.nbytes());
+  }
+
+  if (output_mask[1]) {
+    grad_weight_data = grad_weight.mutable_data_ptr<CTYPE>();
+    memset(grad_weight_data, 0, grad_weight.nbytes());
+  }
+
+  if (output_mask[2]) {
+    grad_bias_data = grad_bias.mutable_data_ptr<CTYPE>();
+    memset(grad_bias_data, 0, grad_bias.nbytes());
+  }
+
+  // @lint-ignore CLANGTIDY facebook-hte-CArray
+  exec_aten::SizesType out_coord[kTensorDimensionLimit];
+  // @lint-ignore CLANGTIDY facebook-hte-CArray
+  exec_aten::SizesType in_coord[kTensorDimensionLimit];
+  // @lint-ignore CLANGTIDY facebook-hte-CArray
+  exec_aten::SizesType weight_coord[kTensorDimensionLimit];
+
+  // Compute gradients
+  for (int64_t b = 0; b < batch_size; ++b) { // Loop over each batch
+    in_coord[0] = b;
+    out_coord[0] = b;
+    for (int64_t g = 0; g < groups; ++g) { // Loop over each group
+      for (int64_t h = 0; h < out_height; ++h) { // Loop over each output row
+        out_coord[2] = h;
+        for (int64_t w = 0; w < out_width; ++w) { // Loop over each output col
+          out_coord[3] = w;
+
+          // Loop over each output channel in the group
+          for (int64_t oc = 0; oc < out_channels_per_group; ++oc) {
+            int64_t oc_global = oc + g * out_channels_per_group;
+            weight_coord[0] = oc_global;
+            out_coord[1] = oc_global;
+
+            int64_t out_idx = calculate_linear_index(
+                out_coord, grad_output.strides().data(), 4);
+
+            // Accumulate the gradient with respect to the bias if required
+            if (output_mask[2]) {
+              grad_bias_data[oc_global] += grad_output_data[out_idx];
+            }
+
+            // Loop over each input channel in the group
+            for (int64_t ic = 0; ic < in_channels_per_group; ++ic) {
+              int64_t ic_global = ic + g * in_channels_per_group;
+              in_coord[1] = ic_global;
+              weight_coord[1] = ic;
+
+              // Loop over each element
+              for (int64_t kh = 0; kh < kernel_height; ++kh) {
+                int64_t in_h = h * stride_h - padding_h + kh * dilation_h;
+                if (in_h >= 0 && in_h < in_height) {
+                  in_coord[2] = in_h;
+                  weight_coord[2] = kh;
+
+                  for (int64_t kw = 0; kw < kernel_width; ++kw) {
+                    int64_t in_w = w * stride_w - padding_w + kw * dilation_w;
+                    if (in_w >= 0 && in_w < in_width) {
+                      in_coord[3] = in_w;
+                      weight_coord[3] = kw;
+
+                      int64_t in_idx = calculate_linear_index(
+                          in_coord, input.strides().data(), 4);
+
+                      int64_t weight_idx = calculate_linear_index(
+                          weight_coord, weight.strides().data(), 4);
+
+                      // Gradient with respect to the input if required
+                      if (output_mask[0]) {
+                        grad_input_data[in_idx] +=
+                            grad_output_data[out_idx] * weight_data[weight_idx];
+                      }
+                      // Gradient with respect to the weight if required
+                      if (output_mask[1]) {
+                        grad_weight_data[weight_idx] +=
+                            grad_output_data[out_idx] * input_data[in_idx];
+                      }
+                    }
+                  }
+                }
+              }
+            }
+          }
+        }
+      }
+    }
+  }
+}
+
+} // namespace
+
+std::tuple<Tensor&, Tensor&, Tensor&> convolution_backward_out(
+    KernelRuntimeContext& ctx,
+    const Tensor& grad_output,
+    const Tensor& input,
+    const Tensor& weight,
+    const OptIntArrayRef bias_sizes_opt,
+    IntArrayRef stride,
+    IntArrayRef padding,
+    IntArrayRef dilation,
+    bool transposed,
+    IntArrayRef output_padding,
+    int64_t groups,
+    exec_aten::ArrayRef<bool> output_mask,
+    Tensor& grad_input,
+    Tensor& grad_weight,
+    Tensor& grad_bias) {
+  (void)ctx;
+
+  std::tuple<Tensor&, Tensor&, Tensor&> ret_val(
+      grad_input, grad_weight, grad_bias);
+
+  ET_KERNEL_CHECK(
+      ctx,
+      check_convolution_backward_args(
+          grad_output,
+          input,
+          weight,
+          bias_sizes_opt,
+          stride,
+          padding,
+          dilation,
+          transposed,
+          output_padding,
+          groups,
+          output_mask,
+          grad_input,
+          grad_weight,
+          grad_bias),
+      InvalidArgument,
+      ret_val);
+
+  ET_KERNEL_CHECK(
+      ctx,
+      resize_tensor(grad_input, input.sizes()) == Error::Ok,
+      InvalidArgument,
+      ret_val);
+
+  ET_KERNEL_CHECK(
+      ctx,
+      resize_tensor(grad_weight, weight.sizes()) == Error::Ok,
+      InvalidArgument,
+      ret_val);
+
+  if (bias_sizes_opt.has_value()) {
+    ET_KERNEL_CHECK(
+        ctx,
+        resize_tensor(grad_bias, bias_sizes_opt.value()) == Error::Ok,
+        InvalidArgument,
+        ret_val);
+  }
+
+  constexpr auto name = "convolution_backward.out";
+
+  ET_SWITCH_FLOATH_TYPES(input.scalar_type(), ctx, name, CTYPE, [&]() {
+    conv2d_backward_impl<CTYPE>(
+        grad_output,
+        input,
+        weight,
+        stride,
+        padding,
+        dilation,
+        groups,
+        output_mask,
+        grad_input,
+        grad_weight,
+        grad_bias);
+  });
+
+  return ret_val;
+}
+
+} // namespace native
+} // namespace executor
+} // namespace torch
diff --git a/kernels/portable/cpu/op_copy.cpp b/kernels/portable/cpu/op_copy.cpp
index 900b6e39d3..013027d30b 100644
--- a/kernels/portable/cpu/op_copy.cpp
+++ b/kernels/portable/cpu/op_copy.cpp
@@ -22,7 +22,7 @@ using Tensor = exec_aten::Tensor;
 // TODO: We actually shouldn't see this op with the proper functionalization,
 // and this op needs to be deleted
 Tensor& copy_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     const Tensor& src,
     bool non_blocking,
@@ -39,11 +39,14 @@ Tensor& copy_out(
   ET_KERNEL_CHECK(
       ctx, resize_tensor(out, in.sizes()) == Error::Ok, InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ScalarType in_type = in.scalar_type();
   ScalarType src_type = src.scalar_type();
 
-  ET_SWITCH_REALHB_TYPES(in_type, ctx, "copy.out", CTYPE, [&]() {
-    ET_SWITCH_REALHB_TYPES(src_type, ctx, "copy.out", CTYPE_SRC, [&]() {
+  ET_SWITCH_REALHBBF16_TYPES(in_type, ctx, "copy.out", CTYPE, [&]() {
+    ET_SWITCH_REALHBBF16_TYPES(src_type, ctx, "copy.out", CTYPE_SRC, [&]() {
       apply_binary_elementwise_fn<CTYPE, CTYPE_SRC, CTYPE>(
           [](const CTYPE val_in, const CTYPE_SRC val_src) {
             return convert<CTYPE, CTYPE_SRC>(val_src);
@@ -57,8 +60,11 @@ Tensor& copy_out(
   return out;
 }
 
-Tensor&
-copy_(RuntimeContext& ctx, Tensor& in, const Tensor& src, bool non_blocking) {
+Tensor& copy_(
+    KernelRuntimeContext& ctx,
+    Tensor& in,
+    const Tensor& src,
+    bool non_blocking) {
   (void)ctx;
   // Right now we only support blocking data transfer
   ET_KERNEL_CHECK(ctx, non_blocking == false, InvalidArgument, in);
@@ -66,11 +72,14 @@ copy_(RuntimeContext& ctx, Tensor& in, const Tensor& src, bool non_blocking) {
   ET_KERNEL_CHECK(
       ctx, tensor_is_broadcastable_to(src, in), InvalidArgument, in);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, src), InvalidArgument, in);
+
   ScalarType in_type = in.scalar_type();
   ScalarType src_type = src.scalar_type();
 
-  ET_SWITCH_REALHB_TYPES(in_type, ctx, "copy_", CTYPE, [&]() {
-    ET_SWITCH_REALHB_TYPES(src_type, ctx, "copy_", CTYPE_SRC, [&]() {
+  ET_SWITCH_REALHBBF16_TYPES(in_type, ctx, "copy_", CTYPE, [&]() {
+    ET_SWITCH_REALHBBF16_TYPES(src_type, ctx, "copy_", CTYPE_SRC, [&]() {
       apply_binary_elementwise_fn<CTYPE, CTYPE_SRC, CTYPE>(
           [](const CTYPE val_in, const CTYPE_SRC val_src) {
             return convert<CTYPE, CTYPE_SRC>(val_src);
diff --git a/kernels/portable/cpu/op_cos.cpp b/kernels/portable/cpu/op_cos.cpp
index be7adbca92..56cf9236df 100644
--- a/kernels/portable/cpu/op_cos.cpp
+++ b/kernels/portable/cpu/op_cos.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& cos_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& cos_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::cos, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_cosh.cpp b/kernels/portable/cpu/op_cosh.cpp
index c445e9d85d..4f4e263286 100644
--- a/kernels/portable/cpu/op_cosh.cpp
+++ b/kernels/portable/cpu/op_cosh.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& cosh_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& cosh_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::cosh, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_cumsum.cpp b/kernels/portable/cpu/op_cumsum.cpp
index fffc2d4639..7b3eae5fe3 100644
--- a/kernels/portable/cpu/op_cumsum.cpp
+++ b/kernels/portable/cpu/op_cumsum.cpp
@@ -80,7 +80,7 @@ void cumsum_tensors(const Tensor& self, int64_t dim, Tensor& out) {
  * operation is performed. This is useful for preventing data type overflows.
  */
 Tensor& cumsum_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& self,
     int64_t dim,
     optional<ScalarType> enforced_dtype,
@@ -93,6 +93,9 @@ Tensor& cumsum_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(self, out), InvalidArgument, out);
+
   ET_KERNEL_CHECK(
       ctx, resize_tensor(out, self.sizes()) == Error::Ok, InvalidArgument, out);
 
diff --git a/kernels/portable/cpu/op_detach_copy.cpp b/kernels/portable/cpu/op_detach_copy.cpp
index 844f259f6d..6cb069c375 100644
--- a/kernels/portable/cpu/op_detach_copy.cpp
+++ b/kernels/portable/cpu/op_detach_copy.cpp
@@ -22,7 +22,8 @@ namespace {} // namespace
  * Copy the tener `self` to `out`, assume `self` and `out` have same type and
  * shape
  */
-Tensor& detach_copy_out(RuntimeContext& ctx, const Tensor& self, Tensor& out) {
+Tensor&
+detach_copy_out(KernelRuntimeContext& ctx, const Tensor& self, Tensor& out) {
   (void)ctx;
 
   // Resize for dynamic shape
@@ -33,6 +34,9 @@ Tensor& detach_copy_out(RuntimeContext& ctx, const Tensor& self, Tensor& out) {
       out,
       "Failed to resize output tensor.");
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(self, out), InvalidArgument, out);
+
   ET_KERNEL_CHECK(
       ctx, tensors_have_same_shape_and_dtype(self, out), InvalidArgument, out);
 
diff --git a/kernels/portable/cpu/op_diagonal_copy.cpp b/kernels/portable/cpu/op_diagonal_copy.cpp
index 67b14c3f79..8bb64b94d9 100644
--- a/kernels/portable/cpu/op_diagonal_copy.cpp
+++ b/kernels/portable/cpu/op_diagonal_copy.cpp
@@ -62,7 +62,7 @@ void diagonal_copy_impl(
 } // namespace
 
 Tensor& diagonal_copy_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     int64_t offset,
     int64_t dim1,
@@ -73,6 +73,11 @@ Tensor& diagonal_copy_out(
   ET_KERNEL_CHECK(
       ctx, check_diagonal_copy_args(in, dim1, dim2, out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
   if (dim1 < 0) {
     dim1 += nonzero_dim(in);
   }
diff --git a/kernels/portable/cpu/op_div.cpp b/kernels/portable/cpu/op_div.cpp
index 84591cb0eb..9a1c34c0f1 100644
--- a/kernels/portable/cpu/op_div.cpp
+++ b/kernels/portable/cpu/op_div.cpp
@@ -33,14 +33,20 @@ ScalarType get_compute_type(ScalarType a_type, ScalarType b_type) {
 
 } // namespace
 
-Tensor&
-div_out(RuntimeContext& ctx, const Tensor& a, const Tensor& b, Tensor& out) {
+Tensor& div_out(
+    KernelRuntimeContext& ctx,
+    const Tensor& a,
+    const Tensor& b,
+    Tensor& out) {
   ET_KERNEL_CHECK(
       ctx,
       resize_to_broadcast_target_size(a, b, out) == Error::Ok,
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, b, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = b.scalar_type();
 
@@ -86,7 +92,7 @@ div_out(RuntimeContext& ctx, const Tensor& a, const Tensor& b, Tensor& out) {
 }
 
 Tensor& div_out_mode(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     exec_aten::optional<exec_aten::string_view> mode,
@@ -97,6 +103,9 @@ Tensor& div_out_mode(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, b, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = b.scalar_type();
   ScalarType common_type = get_compute_type(a_type, b_type);
@@ -140,7 +149,7 @@ Tensor& div_out_mode(
 }
 
 Tensor& div_scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     Tensor& out) {
@@ -159,6 +168,9 @@ Tensor& div_scalar_out(
   ScalarType common_type = isFloatingType(a_type) ? a_type : ScalarType::Float;
   ScalarType out_type = out.scalar_type();
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
+
   ET_KERNEL_CHECK(ctx, common_type == out_type, InvalidArgument, out);
 
   ET_SWITCH_REAL_TYPES_AND(Bool, a_type, ctx, "div.Scalar_out", CTYPE_A, [&]() {
@@ -185,7 +197,7 @@ Tensor& div_scalar_out(
 }
 
 Tensor& div_scalar_mode_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     exec_aten::optional<exec_aten::string_view> mode,
diff --git a/kernels/portable/cpu/op_embedding.cpp b/kernels/portable/cpu/op_embedding.cpp
index ffa43da739..109a72b2f8 100644
--- a/kernels/portable/cpu/op_embedding.cpp
+++ b/kernels/portable/cpu/op_embedding.cpp
@@ -28,7 +28,7 @@ namespace {
 
 template <typename CTYPE>
 void embedding_kernel(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& weight,
     const Tensor& indices,
     Tensor& out) {
@@ -71,7 +71,7 @@ void embedding_kernel(
 // embedding.out(Tensor weight, Tensor indices, int padding_idx=-1, bool
 // scale_grad_by_freq=False, bool sparse=False, *, Tensor(a!) out) -> Tensor(a!)
 Tensor& embedding_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& weight,
     const Tensor& indices,
     int64_t padding_idx,
@@ -102,6 +102,15 @@ Tensor& embedding_out(
       out.size(1),
       weight.size(1));
 
+  ET_KERNEL_CHECK(
+      ctx,
+      tensors_have_same_dim_order(weight, indices, out),
+      InvalidArgument,
+      out);
+
+  ET_KERNEL_CHECK(
+      ctx, tensor_is_default_dim_order(weight), InvalidArgument, out);
+
   ScalarType ix_type = indices.scalar_type();
   ET_CHECK_MSG(
       ix_type == ScalarType::Long || ix_type == ScalarType::Int,
diff --git a/kernels/portable/cpu/op_empty.cpp b/kernels/portable/cpu/op_empty.cpp
index ed0807b7f4..9b37a527c9 100644
--- a/kernels/portable/cpu/op_empty.cpp
+++ b/kernels/portable/cpu/op_empty.cpp
@@ -24,9 +24,9 @@ using exec_aten::Tensor;
  * empty.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
  */
 Tensor& empty_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     IntArrayRef size,
-    torch::executor::optional<torch::executor::MemoryFormat> memory_format,
+    exec_aten::optional<exec_aten::MemoryFormat> memory_format,
     Tensor& out) {
   (void)context;
 
diff --git a/kernels/portable/cpu/op_eq.cpp b/kernels/portable/cpu/op_eq.cpp
index 8a4e4656f0..552053556c 100644
--- a/kernels/portable/cpu/op_eq.cpp
+++ b/kernels/portable/cpu/op_eq.cpp
@@ -20,7 +20,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& eq_tensor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -34,6 +34,9 @@ Tensor& eq_tensor_out(
   ScalarType b_type = b.scalar_type();
   ScalarType out_type = out.scalar_type();
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, b, out), InvalidArgument, out);
+
   ET_SWITCH_REAL_TYPES_AND(Bool, a_type, ctx, "eq.Scalar_out", CTYPE_A, [&]() {
     ET_SWITCH_REAL_TYPES_AND(
         Bool, b_type, ctx, "eq.Scalar_out", CTYPE_B, [&]() {
@@ -62,7 +65,7 @@ Tensor& eq_tensor_out(
 }
 
 Tensor& eq_scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     Tensor& out) {
@@ -80,6 +83,9 @@ Tensor& eq_scalar_out(
   ScalarType b_type = utils::get_scalar_dtype(b);
   ScalarType out_type = out.scalar_type();
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
+
   ET_SWITCH_REAL_TYPES_AND(Bool, a_type, ctx, "eq.Scalar_out", CTYPE_A, [&]() {
     ET_SWITCH_SCALAR_OBJ_TYPES(b_type, ctx, "eq.Scalar_out", CTYPE_B, [&]() {
       using CTYPE_IN =
diff --git a/kernels/portable/cpu/op_erf.cpp b/kernels/portable/cpu/op_erf.cpp
index 04e43086ae..bf85608d54 100644
--- a/kernels/portable/cpu/op_erf.cpp
+++ b/kernels/portable/cpu/op_erf.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& erf_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& erf_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::erf, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_exp.cpp b/kernels/portable/cpu/op_exp.cpp
index 519bcc185e..c72d4d2954 100644
--- a/kernels/portable/cpu/op_exp.cpp
+++ b/kernels/portable/cpu/op_exp.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& exp_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& exp_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::exp, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_expand_copy.cpp b/kernels/portable/cpu/op_expand_copy.cpp
index 5f0d19adc5..26be7fa5a0 100644
--- a/kernels/portable/cpu/op_expand_copy.cpp
+++ b/kernels/portable/cpu/op_expand_copy.cpp
@@ -54,7 +54,7 @@ size_t map_expand_to_repeats(
 } // namespace
 
 Tensor& expand_copy_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& self,
     ArrayRef<int64_t> expand_sizes,
     bool implicit,
@@ -85,6 +85,10 @@ Tensor& expand_copy_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(self, out), InvalidArgument, out);
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(self), InvalidArgument, out);
+
   // Holds the result of expand_sizes converted to repeat sizes
   int64_t repeats[kTensorDimensionLimit];
   const auto repeats_size{map_expand_to_repeats(
diff --git a/kernels/portable/cpu/op_expm1.cpp b/kernels/portable/cpu/op_expm1.cpp
index 7bc4c6cf47..96b94cdfa2 100644
--- a/kernels/portable/cpu/op_expm1.cpp
+++ b/kernels/portable/cpu/op_expm1.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& expm1_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& expm1_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::expm1, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_fill.cpp b/kernels/portable/cpu/op_fill.cpp
index 60ebd5de5a..50ef135961 100644
--- a/kernels/portable/cpu/op_fill.cpp
+++ b/kernels/portable/cpu/op_fill.cpp
@@ -19,7 +19,7 @@ using ScalarType = exec_aten::ScalarType;
 using Tensor = exec_aten::Tensor;
 
 Tensor& fill_scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     Tensor& out) {
@@ -31,6 +31,9 @@ Tensor& fill_scalar_out(
 
   ET_KERNEL_CHECK(ctx, a_type == out_type, InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
+
   // Resize for dynamic shape
   ET_KERNEL_CHECK_MSG(
       ctx,
@@ -58,7 +61,7 @@ Tensor& fill_scalar_out(
 }
 
 Tensor& fill_tensor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -67,6 +70,9 @@ Tensor& fill_tensor_out(
   // Assert `b` must be a scalar tensor.
   ET_KERNEL_CHECK(ctx, tensor_is_scalar(b), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = b.scalar_type();
   ScalarType out_type = out.scalar_type();
diff --git a/kernels/portable/cpu/op_flip.cpp b/kernels/portable/cpu/op_flip.cpp
index 10c52439d1..fab4792a5a 100644
--- a/kernels/portable/cpu/op_flip.cpp
+++ b/kernels/portable/cpu/op_flip.cpp
@@ -38,13 +38,19 @@ size_t unflip_flat_ix(size_t ix, const Tensor& in, ArrayRef<bool> flip_dim) {
 
 } // namespace
 
-Tensor&
-flip_out(RuntimeContext& ctx, const Tensor& in, IntArrayRef dims, Tensor& out) {
+Tensor& flip_out(
+    KernelRuntimeContext& ctx,
+    const Tensor& in,
+    IntArrayRef dims,
+    Tensor& out) {
   (void)ctx;
 
   ET_KERNEL_CHECK(
       ctx, resize_tensor(out, in.sizes()) == Error::Ok, InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ET_KERNEL_CHECK(ctx, check_flip_args(in, dims, out), InvalidArgument, out);
 
   bool flip_dim_data[kTensorDimensionLimit];
diff --git a/kernels/portable/cpu/op_floor.cpp b/kernels/portable/cpu/op_floor.cpp
index bc914b688c..b96265aa55 100644
--- a/kernels/portable/cpu/op_floor.cpp
+++ b/kernels/portable/cpu/op_floor.cpp
@@ -16,7 +16,7 @@ namespace native {
 
 using exec_aten::Tensor;
 
-Tensor& floor_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& floor_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realh(std::floor, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_floor_divide.cpp b/kernels/portable/cpu/op_floor_divide.cpp
index 0514df0ca2..c6a7902b3d 100644
--- a/kernels/portable/cpu/op_floor_divide.cpp
+++ b/kernels/portable/cpu/op_floor_divide.cpp
@@ -75,7 +75,7 @@ struct FloorDivideInner<false, CTYPE_A, CTYPE_B, CTYPE_IN, CTYPE_OUT>
 } // namespace
 
 Tensor& floor_divide_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -87,6 +87,9 @@ Tensor& floor_divide_out(
 
   ET_KERNEL_CHECK(ctx, tensor_is_real_type(out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, b, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = b.scalar_type();
   ScalarType common_type = promoteTypes(a_type, b_type);
diff --git a/kernels/portable/cpu/op_fmod.cpp b/kernels/portable/cpu/op_fmod.cpp
index 42f8373119..98db14cc17 100644
--- a/kernels/portable/cpu/op_fmod.cpp
+++ b/kernels/portable/cpu/op_fmod.cpp
@@ -74,7 +74,7 @@ struct FmodInner<false, CTYPE_A, CTYPE_B, CTYPE_IN, CTYPE_OUT>
 } // namespace
 
 Tensor& fmod_Tensor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -85,6 +85,9 @@ Tensor& fmod_Tensor_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, b, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = b.scalar_type();
   ScalarType common_type = promoteTypes(a_type, b_type);
@@ -125,7 +128,7 @@ Tensor& fmod_Tensor_out(
 }
 
 Tensor& fmod_Scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     Tensor& out) {
@@ -139,6 +142,9 @@ Tensor& fmod_Scalar_out(
       out,
       "Failed to resize output tensor.");
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = utils::get_scalar_dtype(b);
   ScalarType common_type = utils::promote_type_with_scalar(a_type, b);
diff --git a/kernels/portable/cpu/op_full.cpp b/kernels/portable/cpu/op_full.cpp
index cfa88f4d95..74b9657204 100644
--- a/kernels/portable/cpu/op_full.cpp
+++ b/kernels/portable/cpu/op_full.cpp
@@ -17,7 +17,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& full_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const IntArrayRef sizes,
     const Scalar& fill_value,
     Tensor& out) {
@@ -34,11 +34,13 @@ Tensor& full_out(
       out,
       "Failed to resize output tensor.");
 
-  ET_SWITCH_REAL_TYPES_AND(Bool, val_type, ctx, "full.out", CTYPE_VAL, [&] {
+  constexpr auto name = "full.out";
+
+  ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
     CTYPE_VAL val;
     utils::extract_scalar(fill_value, &val);
 
-    ET_SWITCH_REAL_TYPES_AND(Bool, out_type, ctx, "full.out", CTYPE_OUT, [&] {
+    ET_SWITCH_REALHB_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
       CTYPE_OUT val_casted = static_cast<CTYPE_OUT>(val);
       auto data_out = out.mutable_data_ptr<CTYPE_OUT>();
       for (size_t i = 0; i < out.numel(); ++i) {
diff --git a/kernels/portable/cpu/op_full_like.cpp b/kernels/portable/cpu/op_full_like.cpp
index 880e02efe6..682a834b9c 100644
--- a/kernels/portable/cpu/op_full_like.cpp
+++ b/kernels/portable/cpu/op_full_like.cpp
@@ -17,7 +17,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& full_like_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     const Scalar& fill_value,
     optional<MemoryFormat> memory_format,
@@ -34,6 +34,11 @@ Tensor& full_like_out(
         "memory_format must be contiguous");
   }
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
   // Resize for dynamic shape
   ET_KERNEL_CHECK_MSG(
       ctx,
diff --git a/kernels/portable/cpu/op_gather.cpp b/kernels/portable/cpu/op_gather.cpp
new file mode 100644
index 0000000000..b7d257ae3d
--- /dev/null
+++ b/kernels/portable/cpu/op_gather.cpp
@@ -0,0 +1,98 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <cinttypes>
+#include <cstdint>
+#include <cstring>
+
+#include <executorch/kernels/portable/cpu/util/index_util.h>
+#include <executorch/runtime/kernel/kernel_includes.h>
+
+namespace torch {
+namespace executor {
+namespace native {
+
+using Tensor = exec_aten::Tensor;
+using ScalarType = exec_aten::ScalarType;
+
+namespace {
+
+template <typename CTYPE>
+void gather_helper(
+    const Tensor& in,
+    const Tensor& index,
+    Tensor& out,
+    int64_t dim) {
+  const CTYPE* in_data = in.const_data_ptr<CTYPE>();
+  const long* index_data = index.const_data_ptr<long>();
+  CTYPE* out_data = out.mutable_data_ptr<CTYPE>();
+
+  if (index.dim() == 0) {
+    out_data[0] = in_data[index_data[0]];
+    return;
+  }
+
+  for (size_t ix = 0; ix < index.numel(); ++ix) {
+    size_t ix_coord[kTensorDimensionLimit];
+    indexToCoordinate(index, ix, ix_coord);
+
+    size_t in_coord[kTensorDimensionLimit];
+    for (size_t i = 0; i < out.dim(); ++i) {
+      if (i == dim) {
+        in_coord[i] = index_data[ix];
+      } else {
+        in_coord[i] = ix_coord[i];
+      }
+    }
+
+    size_t in_ix = coordinateToIndex(in, in_coord);
+    size_t out_ix = coordinateToIndex(out, ix_coord);
+
+    out_data[out_ix] = in_data[in_ix];
+  }
+}
+
+} // namespace
+
+Tensor& gather_out(
+    KernelRuntimeContext& ctx,
+    const Tensor& in,
+    int64_t dim,
+    const Tensor& index,
+    bool sparse_grad,
+    Tensor& out) {
+  (void)ctx;
+
+  ET_KERNEL_CHECK(
+      ctx,
+      check_gather_args(in, dim, index, sparse_grad, out),
+      InvalidArgument,
+      out);
+
+  if (dim < 0) {
+    dim += nonzero_dim(in);
+  }
+
+  ET_KERNEL_CHECK(
+      ctx,
+      resize_tensor(out, index.sizes()) == Error::Ok,
+      InvalidArgument,
+      out);
+
+  constexpr auto name = "gather.out";
+
+  ET_SWITCH_REALHB_TYPES(in.scalar_type(), ctx, name, CTYPE, [&]() {
+    gather_helper<CTYPE>(in, index, out, dim);
+  });
+
+  return out;
+}
+
+} // namespace native
+} // namespace executor
+} // namespace torch
diff --git a/kernels/portable/cpu/op_ge.cpp b/kernels/portable/cpu/op_ge.cpp
index 88e056e736..7195f80f65 100644
--- a/kernels/portable/cpu/op_ge.cpp
+++ b/kernels/portable/cpu/op_ge.cpp
@@ -20,7 +20,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& ge_tensor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -31,6 +31,9 @@ Tensor& ge_tensor_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = b.scalar_type();
   ScalarType out_type = out.scalar_type();
@@ -63,7 +66,7 @@ Tensor& ge_tensor_out(
 }
 
 Tensor& ge_scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     Tensor& out) {
@@ -77,6 +80,9 @@ Tensor& ge_scalar_out(
       out,
       "Failed to resize output tensor.");
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = utils::get_scalar_dtype(b);
   ScalarType common_type = utils::promote_type_with_scalar(a_type, b);
diff --git a/kernels/portable/cpu/op_gelu.cpp b/kernels/portable/cpu/op_gelu.cpp
index 0432c02814..db5d9cbfe7 100644
--- a/kernels/portable/cpu/op_gelu.cpp
+++ b/kernels/portable/cpu/op_gelu.cpp
@@ -22,7 +22,7 @@ using ScalarType = exec_aten::ScalarType;
 using string_view = exec_aten::string_view;
 
 Tensor& gelu_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     string_view approximate,
     Tensor& out) {
@@ -34,6 +34,9 @@ Tensor& gelu_out(
   ET_KERNEL_CHECK(
       ctx, resize_tensor(out, in.sizes()) == Error::Ok, InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ET_SWITCH_FLOAT_TYPES(in.scalar_type(), ctx, "gelu.out", CTYPE, [&]() {
     if (approximate == "tanh") {
       apply_unary_map_fn(
diff --git a/kernels/portable/cpu/op_glu.cpp b/kernels/portable/cpu/op_glu.cpp
index 5a075ff35c..38bf8fd8db 100644
--- a/kernels/portable/cpu/op_glu.cpp
+++ b/kernels/portable/cpu/op_glu.cpp
@@ -137,13 +137,19 @@ Tensor& glu_out_tensor(const Tensor& self, int64_t dim, Tensor& out) {
  *  1. The input shall be in any float types (Float, Double)
  *  2. The output shall be in float types (Float, Double)
  */
-Tensor&
-glu_out(RuntimeContext& ctx, const Tensor& self, int64_t dim, Tensor& out) {
+Tensor& glu_out(
+    KernelRuntimeContext& ctx,
+    const Tensor& self,
+    int64_t dim,
+    Tensor& out) {
   (void)ctx;
 
   ET_KERNEL_CHECK(
       ctx, resize_glu_out(self, dim, out) == Error::Ok, InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(self, out), InvalidArgument, out);
+
   ET_KERNEL_CHECK(ctx, check_glu_args(self, dim, out), InvalidArgument, out);
 
   const size_t non_negative_dim = dim < 0 ? dim + self.dim() : dim;
diff --git a/kernels/portable/cpu/op_gt.cpp b/kernels/portable/cpu/op_gt.cpp
index 56d8657c9b..e3cceedabc 100644
--- a/kernels/portable/cpu/op_gt.cpp
+++ b/kernels/portable/cpu/op_gt.cpp
@@ -20,7 +20,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& gt_tensor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -31,6 +31,9 @@ Tensor& gt_tensor_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, b, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = b.scalar_type();
   ScalarType out_type = out.scalar_type();
@@ -63,7 +66,7 @@ Tensor& gt_tensor_out(
 }
 
 Tensor& gt_scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     Tensor& out) {
@@ -77,6 +80,9 @@ Tensor& gt_scalar_out(
       out,
       "Failed to resize output tensor.");
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = utils::get_scalar_dtype(b);
   ScalarType common_type = utils::promote_type_with_scalar(a_type, b);
diff --git a/kernels/portable/cpu/op_hardtanh.cpp b/kernels/portable/cpu/op_hardtanh.cpp
index d61b932e06..e86edab76b 100644
--- a/kernels/portable/cpu/op_hardtanh.cpp
+++ b/kernels/portable/cpu/op_hardtanh.cpp
@@ -21,7 +21,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& hardtanh_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     const Scalar& min,
     const Scalar& max,
@@ -36,6 +36,9 @@ Tensor& hardtanh_out(
       out,
       "Failed to resize output tensor.");
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ScalarType in_type = in.scalar_type();
   ScalarType min_type = utils::get_scalar_dtype(min);
   ScalarType max_type = utils::get_scalar_dtype(max);
diff --git a/kernels/portable/cpu/op_index.cpp b/kernels/portable/cpu/op_index.cpp
index d70ceaa859..780994cb75 100644
--- a/kernels/portable/cpu/op_index.cpp
+++ b/kernels/portable/cpu/op_index.cpp
@@ -23,7 +23,7 @@ using Tensor = exec_aten::Tensor;
 using TensorOptList = exec_aten::ArrayRef<exec_aten::optional<Tensor>>;
 
 Tensor& index_Tensor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     TensorOptList indices,
     Tensor& out) {
@@ -32,6 +32,11 @@ Tensor& index_Tensor_out(
   ET_KERNEL_CHECK(
       ctx, check_index_args(in, indices, out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
   ScalarType in_type = in.scalar_type();
   size_t block_count = count_index_blocks(indices);
 
diff --git a/kernels/portable/cpu/op_index_put.cpp b/kernels/portable/cpu/op_index_put.cpp
index 88cffe1bce..e44d50f606 100644
--- a/kernels/portable/cpu/op_index_put.cpp
+++ b/kernels/portable/cpu/op_index_put.cpp
@@ -19,7 +19,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& index_put_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     exec_aten::ArrayRef<exec_aten::optional<Tensor>> indices,
     const Tensor& values,
@@ -33,6 +33,11 @@ Tensor& index_put_out(
   ET_KERNEL_CHECK(
       ctx, tensors_have_same_dtype(in, values), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
   ScalarType in_type = in.scalar_type();
   size_t block_count = count_index_blocks(indices);
 
diff --git a/kernels/portable/cpu/op_index_select.cpp b/kernels/portable/cpu/op_index_select.cpp
index 59cbb40b83..55a2eccf11 100644
--- a/kernels/portable/cpu/op_index_select.cpp
+++ b/kernels/portable/cpu/op_index_select.cpp
@@ -20,7 +20,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& index_select_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     int64_t dim,
     const Tensor& index,
@@ -28,6 +28,11 @@ Tensor& index_select_out(
   ET_KERNEL_CHECK(
       ctx, check_index_select_args(in, dim, index, out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
   if (dim < 0) {
     dim += nonzero_dim(in);
   }
diff --git a/kernels/portable/cpu/op_isinf.cpp b/kernels/portable/cpu/op_isinf.cpp
index 068f402c07..92d1e563a2 100644
--- a/kernels/portable/cpu/op_isinf.cpp
+++ b/kernels/portable/cpu/op_isinf.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& isinf_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& isinf_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   // Lambda is syntactic sugar needed to workaround compilation on some older
   // non-compatible distros where isnan is returning int rather than bool
   return internal::unary_ufunc_realhb_to_bool(
diff --git a/kernels/portable/cpu/op_isnan.cpp b/kernels/portable/cpu/op_isnan.cpp
index 09fb4f5f8a..51e189992e 100644
--- a/kernels/portable/cpu/op_isnan.cpp
+++ b/kernels/portable/cpu/op_isnan.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& isnan_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& isnan_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   // Lambda is syntactic sugar needed to workaround compilation on some older
   // non-compatible distros where isnan is returning int rather than bool
   return internal::unary_ufunc_realhb_to_bool(
diff --git a/kernels/portable/cpu/op_le.cpp b/kernels/portable/cpu/op_le.cpp
index aa2c85d17d..5b241dbb8a 100644
--- a/kernels/portable/cpu/op_le.cpp
+++ b/kernels/portable/cpu/op_le.cpp
@@ -20,7 +20,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& le_tensor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -35,6 +35,9 @@ Tensor& le_tensor_out(
   ScalarType b_type = b.scalar_type();
   ScalarType out_type = out.scalar_type();
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, b, out), InvalidArgument, out);
+
   ET_SWITCH_REAL_TYPES_AND(Bool, a_type, ctx, "le.Tensor_out", CTYPE_A, [&]() {
     ET_SWITCH_REAL_TYPES_AND(
         Bool, b_type, ctx, "le.Tensor_out", CTYPE_B, [&]() {
@@ -63,7 +66,7 @@ Tensor& le_tensor_out(
 }
 
 Tensor& le_scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     Tensor& out) {
@@ -77,6 +80,9 @@ Tensor& le_scalar_out(
       out,
       "Failed to resize output tensor.");
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = utils::get_scalar_dtype(b);
   ScalarType common_type = utils::promote_type_with_scalar(a_type, b);
diff --git a/kernels/portable/cpu/op_leaky_relu.cpp b/kernels/portable/cpu/op_leaky_relu.cpp
index 1cb0a6a940..90e91435e4 100644
--- a/kernels/portable/cpu/op_leaky_relu.cpp
+++ b/kernels/portable/cpu/op_leaky_relu.cpp
@@ -21,7 +21,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& leaky_relu_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     const Scalar& negative_slope,
     Tensor& out) {
@@ -35,6 +35,9 @@ Tensor& leaky_relu_out(
       out,
       "Failed to resize output tensor.");
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ScalarType in_type = in.scalar_type();
   ScalarType sc_type = utils::get_scalar_dtype(negative_slope);
   ScalarType out_type = out.scalar_type();
diff --git a/kernels/portable/cpu/op_lift_fresh_copy.cpp b/kernels/portable/cpu/op_lift_fresh_copy.cpp
index 2341d437d6..bb49ab9e0b 100644
--- a/kernels/portable/cpu/op_lift_fresh_copy.cpp
+++ b/kernels/portable/cpu/op_lift_fresh_copy.cpp
@@ -17,7 +17,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor&
-lift_fresh_copy_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+lift_fresh_copy_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   (void)ctx;
 
   ET_KERNEL_CHECK(ctx, tensors_have_same_dtype(in, out), InvalidArgument, out);
@@ -25,6 +25,9 @@ lift_fresh_copy_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
   ET_KERNEL_CHECK(
       ctx, resize_tensor(out, in.sizes()) == Error::Ok, InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   if (in.nbytes() > 0) {
     // Note that this check is important. It's valid for a tensor with numel 0
     // to have a null data pointer, but in some environments it's invalid to
diff --git a/kernels/portable/cpu/op_linear_scratch_example.cpp b/kernels/portable/cpu/op_linear_scratch_example.cpp
index 30535e9ee8..1627e14ca7 100644
--- a/kernels/portable/cpu/op_linear_scratch_example.cpp
+++ b/kernels/portable/cpu/op_linear_scratch_example.cpp
@@ -118,7 +118,7 @@ Tensor& linear_scratch_example(
 }
 
 Tensor& linear_scratch_example(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& input,
     const Tensor& weight,
     const optional<Tensor>& bias,
diff --git a/kernels/portable/cpu/op_log.cpp b/kernels/portable/cpu/op_log.cpp
index 9f3f039fff..0e95920971 100644
--- a/kernels/portable/cpu/op_log.cpp
+++ b/kernels/portable/cpu/op_log.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& log_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& log_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::log, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_log10.cpp b/kernels/portable/cpu/op_log10.cpp
index 48a0df6411..e617ab38c1 100644
--- a/kernels/portable/cpu/op_log10.cpp
+++ b/kernels/portable/cpu/op_log10.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& log10_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& log10_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::log10, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_log1p.cpp b/kernels/portable/cpu/op_log1p.cpp
index 15b9877569..b92344c2e7 100644
--- a/kernels/portable/cpu/op_log1p.cpp
+++ b/kernels/portable/cpu/op_log1p.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& log1p_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& log1p_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::log1p, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_log2.cpp b/kernels/portable/cpu/op_log2.cpp
index 4e640a402b..19f4daa0d4 100644
--- a/kernels/portable/cpu/op_log2.cpp
+++ b/kernels/portable/cpu/op_log2.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& log2_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& log2_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::log2, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_log_softmax.cpp b/kernels/portable/cpu/op_log_softmax.cpp
index 34f43c4806..096fb4ff9c 100644
--- a/kernels/portable/cpu/op_log_softmax.cpp
+++ b/kernels/portable/cpu/op_log_softmax.cpp
@@ -20,7 +20,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& log_softmax_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     int64_t dim,
     bool half_to_float,
@@ -36,6 +36,9 @@ Tensor& log_softmax_out(
   ET_KERNEL_CHECK(
       ctx, resize_tensor(out, in.sizes()) == Error::Ok, InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   // Adjust for negative dim
   dim = dim < 0 ? dim + nonzero_dim(in) : dim;
 
diff --git a/kernels/portable/cpu/op_logical_and.cpp b/kernels/portable/cpu/op_logical_and.cpp
index b9c76cbf1c..51487ca6aa 100644
--- a/kernels/portable/cpu/op_logical_and.cpp
+++ b/kernels/portable/cpu/op_logical_and.cpp
@@ -22,7 +22,7 @@ bool logical_and(bool a, bool b) {
 } // namespace
 
 Tensor& logical_and_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
diff --git a/kernels/portable/cpu/op_logical_not.cpp b/kernels/portable/cpu/op_logical_not.cpp
index c607fce8e2..cf10f572e4 100644
--- a/kernels/portable/cpu/op_logical_not.cpp
+++ b/kernels/portable/cpu/op_logical_not.cpp
@@ -16,7 +16,8 @@ namespace native {
 
 using exec_aten::Tensor;
 
-Tensor& logical_not_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor&
+logical_not_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   (void)ctx;
 
   // Resize for dynamic shape
@@ -27,6 +28,9 @@ Tensor& logical_not_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
       out,
       "Failed to resize output tensor.");
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ET_KERNEL_CHECK(ctx, tensors_have_same_shape(in, out), InvalidArgument, out);
 
   ET_SWITCH_REAL_TYPES_AND(
diff --git a/kernels/portable/cpu/op_logical_or.cpp b/kernels/portable/cpu/op_logical_or.cpp
index e9c8ac7d03..15a4ca52bb 100644
--- a/kernels/portable/cpu/op_logical_or.cpp
+++ b/kernels/portable/cpu/op_logical_or.cpp
@@ -22,7 +22,7 @@ bool logical_or(bool a, bool b) {
 } // namespace
 
 Tensor& logical_or_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
diff --git a/kernels/portable/cpu/op_logical_xor.cpp b/kernels/portable/cpu/op_logical_xor.cpp
index dde462e26c..8c0b1b2c82 100644
--- a/kernels/portable/cpu/op_logical_xor.cpp
+++ b/kernels/portable/cpu/op_logical_xor.cpp
@@ -22,7 +22,7 @@ bool logical_xor(bool a, bool b) {
 } // namespace
 
 Tensor& logical_xor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
diff --git a/kernels/portable/cpu/op_logit.cpp b/kernels/portable/cpu/op_logit.cpp
index 7a54d91d0e..faba847e84 100644
--- a/kernels/portable/cpu/op_logit.cpp
+++ b/kernels/portable/cpu/op_logit.cpp
@@ -18,7 +18,7 @@ namespace native {
 using exec_aten::Tensor;
 
 Tensor& logit_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     exec_aten::optional<double> eps,
     Tensor& out) {
@@ -28,6 +28,9 @@ Tensor& logit_out(
   ET_KERNEL_CHECK(
       ctx, resize_tensor(out, in.sizes()) == Error::Ok, InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ET_KERNEL_CHECK(ctx, tensor_is_floating_type(out), InvalidArgument, out);
 
   ScalarType in_type = in.scalar_type();
diff --git a/kernels/portable/cpu/op_lt.cpp b/kernels/portable/cpu/op_lt.cpp
index 7fd9dd9bf6..6f2ba4d693 100644
--- a/kernels/portable/cpu/op_lt.cpp
+++ b/kernels/portable/cpu/op_lt.cpp
@@ -20,7 +20,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& lt_tensor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -31,6 +31,9 @@ Tensor& lt_tensor_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = b.scalar_type();
   ScalarType out_type = out.scalar_type();
@@ -63,7 +66,7 @@ Tensor& lt_tensor_out(
 }
 
 Tensor& lt_scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     Tensor& out) {
@@ -77,6 +80,9 @@ Tensor& lt_scalar_out(
       out,
       "Failed to resize output tensor.");
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = utils::get_scalar_dtype(b);
   ScalarType common_type = utils::promote_type_with_scalar(a_type, b);
diff --git a/kernels/portable/cpu/op_masked_fill.cpp b/kernels/portable/cpu/op_masked_fill.cpp
index 7a72994b07..643d5293ed 100644
--- a/kernels/portable/cpu/op_masked_fill.cpp
+++ b/kernels/portable/cpu/op_masked_fill.cpp
@@ -20,7 +20,7 @@ using ScalarType = exec_aten::ScalarType;
 using Scalar = exec_aten::Scalar;
 
 Tensor& masked_fill_scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     const Tensor& mask,
     const Scalar& value,
@@ -39,6 +39,9 @@ Tensor& masked_fill_scalar_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, mask, out), InvalidArgument, out);
+
   ET_SWITCH_REAL_TYPES_AND(
       Bool, in_type, ctx, "masked_fill.Scalar_out", CTYPE, [&]() {
         ET_SWITCH_REAL_TYPES_AND(
diff --git a/kernels/portable/cpu/op_max.cpp b/kernels/portable/cpu/op_max.cpp
index 8f363ced4e..66eac09389 100644
--- a/kernels/portable/cpu/op_max.cpp
+++ b/kernels/portable/cpu/op_max.cpp
@@ -23,7 +23,7 @@ using SizesType = exec_aten::SizesType;
 using Tensor = exec_aten::Tensor;
 
 std::tuple<Tensor&, Tensor&> max_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     int64_t dim,
     bool keepdim,
@@ -49,6 +49,24 @@ std::tuple<Tensor&, Tensor&> max_out(
       InvalidArgument,
       (std::tuple<Tensor&, Tensor&>({max, max_indices})));
 
+  ET_KERNEL_CHECK(
+      ctx,
+      tensors_have_same_dim_order(in, max),
+      InvalidArgument,
+      (std::tuple<Tensor&, Tensor&>({max, max_indices})));
+
+  ET_KERNEL_CHECK(
+      ctx,
+      tensor_is_default_dim_order(max_indices),
+      InvalidArgument,
+      (std::tuple<Tensor&, Tensor&>({max, max_indices})));
+
+  ET_KERNEL_CHECK(
+      ctx,
+      tensor_is_default_dim_order(in),
+      InvalidArgument,
+      (std::tuple<Tensor&, Tensor&>({max, max_indices})));
+
   dim = dim < 0 ? dim + in.dim() : dim;
 
   ET_SWITCH_REAL_TYPES_AND(
diff --git a/kernels/portable/cpu/op_max_pool2d_with_indices.cpp b/kernels/portable/cpu/op_max_pool2d_with_indices.cpp
index 7f377080b8..80c291305b 100644
--- a/kernels/portable/cpu/op_max_pool2d_with_indices.cpp
+++ b/kernels/portable/cpu/op_max_pool2d_with_indices.cpp
@@ -21,7 +21,7 @@ using ScalarType = exec_aten::ScalarType;
 using IntArrayRef = exec_aten::ArrayRef<int64_t>;
 
 std::tuple<Tensor&, Tensor&> max_pool2d_with_indices_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     IntArrayRef kernel_size,
     IntArrayRef stride,
diff --git a/kernels/portable/cpu/op_maximum.cpp b/kernels/portable/cpu/op_maximum.cpp
index 1353479b29..a207515135 100644
--- a/kernels/portable/cpu/op_maximum.cpp
+++ b/kernels/portable/cpu/op_maximum.cpp
@@ -63,7 +63,7 @@ struct MaximumInner<false, CTYPE_A, CTYPE_B, CTYPE_IN, CTYPE_OUT>
 } // namespace
 
 Tensor& maximum_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -75,6 +75,9 @@ Tensor& maximum_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, b, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = b.scalar_type();
   ScalarType common_type = promoteTypes(a_type, b_type, /*half_to_float*/ true);
diff --git a/kernels/portable/cpu/op_mean.cpp b/kernels/portable/cpu/op_mean.cpp
index 79e66c62b5..aeb0d7f8ca 100644
--- a/kernels/portable/cpu/op_mean.cpp
+++ b/kernels/portable/cpu/op_mean.cpp
@@ -19,7 +19,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& mean_dim_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     optional<ArrayRef<int64_t>> dim_list,
     bool keepdim,
@@ -33,6 +33,11 @@ Tensor& mean_dim_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
   ET_KERNEL_CHECK(
       ctx,
       resize_reduction_out(in, dim_list, keepdim, out) == Error::Ok,
diff --git a/kernels/portable/cpu/op_min.cpp b/kernels/portable/cpu/op_min.cpp
index 8e3b5a00b3..a5ab490d7b 100644
--- a/kernels/portable/cpu/op_min.cpp
+++ b/kernels/portable/cpu/op_min.cpp
@@ -23,7 +23,7 @@ using SizesType = exec_aten::SizesType;
 using Tensor = exec_aten::Tensor;
 
 std::tuple<Tensor&, Tensor&> min_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     int64_t dim,
     bool keepdim,
@@ -49,6 +49,24 @@ std::tuple<Tensor&, Tensor&> min_out(
       InvalidArgument,
       (std::tuple<Tensor&, Tensor&>({min, min_indices})));
 
+  ET_KERNEL_CHECK(
+      ctx,
+      tensors_have_same_dim_order(in, min),
+      InvalidArgument,
+      (std::tuple<Tensor&, Tensor&>({min, min_indices})));
+
+  ET_KERNEL_CHECK(
+      ctx,
+      tensor_is_default_dim_order(min_indices),
+      InvalidArgument,
+      (std::tuple<Tensor&, Tensor&>({min, min_indices})));
+
+  ET_KERNEL_CHECK(
+      ctx,
+      tensor_is_default_dim_order(in),
+      InvalidArgument,
+      (std::tuple<Tensor&, Tensor&>({min, min_indices})));
+
   dim = dim < 0 ? dim + in.dim() : dim;
 
   ET_SWITCH_REAL_TYPES_AND(
diff --git a/kernels/portable/cpu/op_minimum.cpp b/kernels/portable/cpu/op_minimum.cpp
index f18d1a6d36..cfcb3fe9ac 100644
--- a/kernels/portable/cpu/op_minimum.cpp
+++ b/kernels/portable/cpu/op_minimum.cpp
@@ -63,7 +63,7 @@ struct MinimumInner<false, CTYPE_A, CTYPE_B, CTYPE_IN, CTYPE_OUT>
 } // namespace
 
 Tensor& minimum_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -75,6 +75,9 @@ Tensor& minimum_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, b, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = b.scalar_type();
   ScalarType common_type = promoteTypes(a_type, b_type, /*half_to_float*/ true);
diff --git a/kernels/portable/cpu/op_mm.cpp b/kernels/portable/cpu/op_mm.cpp
index 6903bf3cad..80717d0f94 100644
--- a/kernels/portable/cpu/op_mm.cpp
+++ b/kernels/portable/cpu/op_mm.cpp
@@ -16,8 +16,11 @@ namespace native {
 
 using Tensor = exec_aten::Tensor;
 
-Tensor&
-mm_out(RuntimeContext& ctx, const Tensor& in, const Tensor& mat2, Tensor& out) {
+Tensor& mm_out(
+    KernelRuntimeContext& ctx,
+    const Tensor& in,
+    const Tensor& mat2,
+    Tensor& out) {
   ET_KERNEL_CHECK(ctx, check_mm_args(in, mat2, out), InvalidArgument, out);
 
   size_t output_ndim = 0;
@@ -29,19 +32,25 @@ mm_out(RuntimeContext& ctx, const Tensor& in, const Tensor& mat2, Tensor& out) {
       InvalidArgument,
       out);
 
-  ET_SWITCH_REAL_TYPES_AND(Half, in.scalar_type(), ctx, "mm.out", CTYPE, [&]() {
-    size_t m = in.size(0);
-    size_t n = in.size(1);
-    size_t p = mat2.size(1);
-
-    vec_matmul<CTYPE>(
-        out.mutable_data_ptr<CTYPE>(),
-        in.const_data_ptr<CTYPE>(),
-        mat2.const_data_ptr<CTYPE>(),
-        m,
-        n,
-        p);
-  });
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, mat2, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
+  ET_SWITCH_REAL_TYPES_AND2(
+      Half, BFloat16, in.scalar_type(), ctx, "mm.out", CTYPE, [&]() {
+        size_t m = in.size(0);
+        size_t n = in.size(1);
+        size_t p = mat2.size(1);
+
+        vec_matmul<CTYPE>(
+            out.mutable_data_ptr<CTYPE>(),
+            in.const_data_ptr<CTYPE>(),
+            mat2.const_data_ptr<CTYPE>(),
+            m,
+            n,
+            p);
+      });
 
   return out;
 }
diff --git a/kernels/portable/cpu/op_mul.cpp b/kernels/portable/cpu/op_mul.cpp
index c933d10d27..3e3b601e72 100644
--- a/kernels/portable/cpu/op_mul.cpp
+++ b/kernels/portable/cpu/op_mul.cpp
@@ -62,15 +62,25 @@ struct MulInner<false, CTYPE_A, CTYPE_B, CTYPE_IN, CTYPE_OUT>
     : public ReportCanCastBug {};
 } // namespace
 
-Tensor&
-mul_out(RuntimeContext& ctx, const Tensor& a, const Tensor& b, Tensor& out) {
+Tensor& mul_out(
+    KernelRuntimeContext& ctx,
+    const Tensor& a,
+    const Tensor& b,
+    Tensor& out) {
   ET_KERNEL_CHECK(
       ctx,
       resize_to_broadcast_target_size(a, b, out) == Error::Ok,
       InvalidArgument,
       out);
 
-  ET_KERNEL_CHECK(ctx, tensor_is_realhb_type(out), InvalidArgument, out);
+  ET_KERNEL_CHECK(
+      ctx,
+      executorch::runtime::tensor_is_realhbbf16_type(out),
+      InvalidArgument,
+      out);
+
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, b, out), InvalidArgument, out);
 
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = b.scalar_type();
@@ -79,12 +89,12 @@ mul_out(RuntimeContext& ctx, const Tensor& a, const Tensor& b, Tensor& out) {
 
   ET_KERNEL_CHECK(ctx, canCast(common_type, out_type), InvalidArgument, out);
 
-  ET_SWITCH_REALHB_TYPES(a_type, ctx, "mul.out", CTYPE_A, [&]() {
-    ET_SWITCH_REALHB_TYPES(b_type, ctx, "mul.out", CTYPE_B, [&]() {
+  ET_SWITCH_REALHBBF16_TYPES(a_type, ctx, "mul.out", CTYPE_A, [&]() {
+    ET_SWITCH_REALHBBF16_TYPES(b_type, ctx, "mul.out", CTYPE_B, [&]() {
       using CTYPE_IN = typename torch::executor::
           promote_types<CTYPE_A, CTYPE_B, /*half_to_float*/ true>::type;
       ET_DCHECK(CppTypeToScalarType<CTYPE_IN>::value == common_type);
-      ET_SWITCH_REALHB_TYPES(out_type, ctx, "mul.out", CTYPE_OUT, [&]() {
+      ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, "mul.out", CTYPE_OUT, [&]() {
         MulInner<
             can_cast<CTYPE_IN, CTYPE_OUT>::value,
             CTYPE_A,
@@ -99,7 +109,7 @@ mul_out(RuntimeContext& ctx, const Tensor& a, const Tensor& b, Tensor& out) {
 }
 
 Tensor& mul_scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     Tensor& out) {
@@ -113,7 +123,14 @@ Tensor& mul_scalar_out(
       out,
       "Failed to resize output tensor.");
 
-  ET_KERNEL_CHECK(ctx, tensor_is_realhb_type(out), InvalidArgument, out);
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(
+      ctx,
+      executorch::runtime::tensor_is_realhbbf16_type(out),
+      InvalidArgument,
+      out);
 
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = utils::get_scalar_dtype(b);
@@ -123,15 +140,15 @@ Tensor& mul_scalar_out(
 
   ET_KERNEL_CHECK(ctx, common_type == out_type, InvalidArgument, out);
 
-  if (common_type == ScalarType::Half) {
+  if (common_type == ScalarType::Half || common_type == ScalarType::BFloat16) {
     common_type = ScalarType::Float;
   }
 
-  ET_SWITCH_REALHB_TYPES(a_type, ctx, "mul.Scalar_out", CTYPE_A, [&]() {
+  ET_SWITCH_REALHBBF16_TYPES(a_type, ctx, "mul.Scalar_out", CTYPE_A, [&]() {
     ET_SWITCH_SCALAR_OBJ_TYPES(b_type, ctx, "mul.Scalar_out", CTYPE_B, [&]() {
       ET_SWITCH_REALB_TYPES(
           common_type, ctx, "mul.Scalar_out", CTYPE_IN, [&]() {
-            ET_SWITCH_REALHB_TYPES(
+            ET_SWITCH_REALHBBF16_TYPES(
                 out_type, ctx, "mul.Scalar_out", CTYPE_OUT, [&]() {
                   CTYPE_B b_val;
                   utils::extract_scalar(b, &b_val);
diff --git a/kernels/portable/cpu/op_narrow_copy.cpp b/kernels/portable/cpu/op_narrow_copy.cpp
new file mode 100644
index 0000000000..762e0ad80e
--- /dev/null
+++ b/kernels/portable/cpu/op_narrow_copy.cpp
@@ -0,0 +1,57 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/kernels/portable/cpu/util/slice_util.h>
+#include <executorch/runtime/kernel/kernel_includes.h>
+#include <cstring>
+
+namespace torch {
+namespace executor {
+namespace native {
+
+using Tensor = exec_aten::Tensor;
+
+Tensor& narrow_copy_out(
+    KernelRuntimeContext& ctx,
+    const Tensor& in,
+    int64_t dim,
+    int64_t start,
+    int64_t length,
+    Tensor& out) {
+  (void)ctx;
+
+  ET_KERNEL_CHECK(
+      ctx,
+      check_narrow_copy_args(in, dim, start, length, out),
+      InvalidArgument,
+      out);
+
+  if (dim < 0) {
+    dim += in.dim();
+  }
+
+  // @lint-ignore CLANGTIDY facebook-hte-CArray
+  Tensor::SizesType target_sizes[kTensorDimensionLimit];
+  size_t target_ndim = 0;
+  get_narrow_copy_out_target_size(in, dim, length, target_sizes, &target_ndim);
+  ET_KERNEL_CHECK(
+      ctx,
+      resize_tensor(out, {target_sizes, target_ndim}) == Error::Ok,
+      InvalidArgument,
+      out);
+
+  if (length != 0) {
+    compute_slice(in, dim, start, length, 1, out);
+  }
+
+  return out;
+}
+
+} // namespace native
+} // namespace executor
+} // namespace torch
diff --git a/kernels/portable/cpu/op_native_batch_norm.cpp b/kernels/portable/cpu/op_native_batch_norm.cpp
index 2e613c0a63..546212a6b3 100644
--- a/kernels/portable/cpu/op_native_batch_norm.cpp
+++ b/kernels/portable/cpu/op_native_batch_norm.cpp
@@ -20,7 +20,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 std::tuple<Tensor&, Tensor&, Tensor&> _native_batch_norm_legit_no_training_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     const exec_aten::optional<Tensor>& weight,
     const exec_aten::optional<Tensor>& bias,
@@ -73,6 +73,28 @@ std::tuple<Tensor&, Tensor&, Tensor&> _native_batch_norm_legit_no_training_out(
       InvalidArgument,
       ret_val);
 
+  ET_KERNEL_CHECK(
+      ctx,
+      tensors_have_same_dim_order(in, out, mean_out, invstd_out),
+      InvalidArgument,
+      ret_val);
+
+  if (weight.has_value()) {
+    ET_KERNEL_CHECK(
+        ctx,
+        tensors_have_same_dim_order(in, weight.value()),
+        InvalidArgument,
+        ret_val);
+  }
+
+  if (bias.has_value()) {
+    ET_KERNEL_CHECK(
+        ctx,
+        tensors_have_same_dim_order(in, bias.value()),
+        InvalidArgument,
+        ret_val);
+  }
+
   size_t C_dim = in.dim() >= 1 ? 1 : 0;
   size_t C = in.size(C_dim);
   size_t outer = getLeadingDims(in, C_dim);
@@ -113,7 +135,7 @@ std::tuple<Tensor&, Tensor&, Tensor&> _native_batch_norm_legit_no_training_out(
 }
 
 std::tuple<Tensor&, Tensor&, Tensor&> _native_batch_norm_legit_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     const exec_aten::optional<Tensor>& weight,
     const exec_aten::optional<Tensor>& bias,
@@ -151,7 +173,7 @@ std::tuple<Tensor&, Tensor&, Tensor&> _native_batch_norm_legit_out(
 }
 
 std::tuple<Tensor&, Tensor&, Tensor&> _native_batch_norm_legit_no_stats_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     const exec_aten::optional<Tensor>& weight,
     const exec_aten::optional<Tensor>& bias,
diff --git a/kernels/portable/cpu/op_native_group_norm.cpp b/kernels/portable/cpu/op_native_group_norm.cpp
index f9213fdeb1..cf2d19776b 100644
--- a/kernels/portable/cpu/op_native_group_norm.cpp
+++ b/kernels/portable/cpu/op_native_group_norm.cpp
@@ -113,7 +113,7 @@ void group_norm(
 } // namespace
 
 std::tuple<Tensor&, Tensor&, Tensor&> native_group_norm_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& input,
     const exec_aten::optional<Tensor>& weight,
     const exec_aten::optional<Tensor>& bias,
@@ -158,6 +158,31 @@ std::tuple<Tensor&, Tensor&, Tensor&> native_group_norm_out(
       InvalidArgument,
       ret_val);
 
+  ET_KERNEL_CHECK(
+      ctx, tensor_is_default_dim_order(input), InvalidArgument, ret_val);
+
+  ET_KERNEL_CHECK(
+      ctx,
+      tensors_have_same_dim_order(input, out, mean_out, rstd_out),
+      InvalidArgument,
+      ret_val);
+
+  if (weight.has_value()) {
+    ET_KERNEL_CHECK(
+        ctx,
+        tensors_have_same_dim_order(input, weight.value()),
+        InvalidArgument,
+        ret_val);
+  }
+
+  if (bias.has_value()) {
+    ET_KERNEL_CHECK(
+        ctx,
+        tensors_have_same_dim_order(input, bias.value()),
+        InvalidArgument,
+        ret_val);
+  }
+
   constexpr auto name = "native_group_norm.out";
 
   ET_SWITCH_FLOAT_TYPES(input.scalar_type(), ctx, name, CTYPE, [&]() {
diff --git a/kernels/portable/cpu/op_native_layer_norm.cpp b/kernels/portable/cpu/op_native_layer_norm.cpp
index f10acda10e..36417e952d 100644
--- a/kernels/portable/cpu/op_native_layer_norm.cpp
+++ b/kernels/portable/cpu/op_native_layer_norm.cpp
@@ -97,7 +97,7 @@ void layer_norm(
 // As a reference, there's math_native_layer_norm in ATen:
 // https://www.internalfb.com/code/fbsource/[2da5b17b086554c6cd0c3ab08a35aeec2a8bad8c]/xplat/caffe2/aten/src/ATen/native/layer_norm.cpp?lines=188
 std::tuple<Tensor&, Tensor&, Tensor&> native_layer_norm_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& input,
     IntArrayRef normalized_shape,
     const exec_aten::optional<Tensor>& weight,
@@ -117,6 +117,33 @@ std::tuple<Tensor&, Tensor&, Tensor&> native_layer_norm_out(
       InvalidArgument,
       ret_val);
 
+  // Only support default dim order for now.
+  // TODO: Support other dim orders.
+  ET_KERNEL_CHECK(
+      ctx, tensor_is_default_dim_order(input), InvalidArgument, ret_val);
+
+  ET_KERNEL_CHECK(
+      ctx,
+      tensors_have_same_dim_order(input, out, mean_out, rstd_out),
+      InvalidArgument,
+      ret_val);
+
+  if (weight.has_value()) {
+    ET_KERNEL_CHECK(
+        ctx,
+        tensors_have_same_dim_order(input, weight.value()),
+        InvalidArgument,
+        ret_val);
+  }
+
+  if (bias.has_value()) {
+    ET_KERNEL_CHECK(
+        ctx,
+        tensors_have_same_dim_order(input, bias.value()),
+        InvalidArgument,
+        ret_val);
+  }
+
   Tensor::SizesType mean_rstd_sizes[kTensorDimensionLimit];
   size_t mean_rstd_ndim = 0;
   get_layer_norm_out_target_size(
diff --git a/kernels/portable/cpu/op_ne.cpp b/kernels/portable/cpu/op_ne.cpp
index 5601fdafbd..194b9de372 100644
--- a/kernels/portable/cpu/op_ne.cpp
+++ b/kernels/portable/cpu/op_ne.cpp
@@ -20,7 +20,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& ne_tensor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -30,6 +30,9 @@ Tensor& ne_tensor_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, b, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = b.scalar_type();
   ScalarType out_type = out.scalar_type();
@@ -62,7 +65,7 @@ Tensor& ne_tensor_out(
 }
 
 Tensor& ne_scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     Tensor& out) {
@@ -75,6 +78,9 @@ Tensor& ne_scalar_out(
       out,
       "Failed to resize output tensor.");
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = utils::get_scalar_dtype(b);
   ScalarType out_type = out.scalar_type();
diff --git a/kernels/portable/cpu/op_neg.cpp b/kernels/portable/cpu/op_neg.cpp
index 026d1009c4..a4e6a8ad25 100644
--- a/kernels/portable/cpu/op_neg.cpp
+++ b/kernels/portable/cpu/op_neg.cpp
@@ -16,7 +16,7 @@ namespace native {
 
 using exec_aten::Tensor;
 
-Tensor& neg_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& neg_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   (void)ctx;
 
   // Resize for dynamic shape
@@ -30,6 +30,9 @@ Tensor& neg_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
   ET_KERNEL_CHECK(
       ctx, tensors_have_same_shape_and_dtype(in, out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ET_SWITCH_REAL_TYPES(in.scalar_type(), ctx, "neg.out", CTYPE, [&] {
     apply_unary_map_fn(
         [](const CTYPE val_in) { return static_cast<CTYPE>(-val_in); },
diff --git a/kernels/portable/cpu/op_nonzero.cpp b/kernels/portable/cpu/op_nonzero.cpp
index 6cf7fd81da..6c149ec4de 100644
--- a/kernels/portable/cpu/op_nonzero.cpp
+++ b/kernels/portable/cpu/op_nonzero.cpp
@@ -39,7 +39,7 @@ void increment_index(size_t* index, const ArrayRef<SizesType> sizes) {
  * out to the appropriate size, and then loop again and properly write into out
  */
 template <typename CTYPE>
-void nonzero(RuntimeContext& ctx, const Tensor& input, Tensor& output) {
+void nonzero(KernelRuntimeContext& ctx, const Tensor& input, Tensor& output) {
   const CTYPE* in_data = input.const_data_ptr<CTYPE>();
   size_t lim = input.numel();
   int32_t num_nonzero = 0;
@@ -83,7 +83,7 @@ void nonzero(RuntimeContext& ctx, const Tensor& input, Tensor& output) {
  * Determines the non zero indices of input.
  * Out is a 2-D tensor where every row is a non zero index of the input.
  */
-Tensor& nonzero_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& nonzero_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   (void)ctx;
 
   ET_KERNEL_CHECK(ctx, check_nonzero_args(in, out), InvalidArgument, out);
diff --git a/kernels/portable/cpu/op_ones.cpp b/kernels/portable/cpu/op_ones.cpp
index 61595a8c21..6fcd1dfdbc 100644
--- a/kernels/portable/cpu/op_ones.cpp
+++ b/kernels/portable/cpu/op_ones.cpp
@@ -12,7 +12,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& ones_out(RuntimeContext& ctx, IntArrayRef size, Tensor& out) {
+Tensor& ones_out(KernelRuntimeContext& ctx, IntArrayRef size, Tensor& out) {
   (void)ctx;
 
   // Resize for dynamic shape
diff --git a/kernels/portable/cpu/op_pdist_forward.cpp b/kernels/portable/cpu/op_pdist_forward.cpp
index 88b5e88194..04217cc8eb 100644
--- a/kernels/portable/cpu/op_pdist_forward.cpp
+++ b/kernels/portable/cpu/op_pdist_forward.cpp
@@ -16,7 +16,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& _pdist_forward_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     double p,
     Tensor& out) {
@@ -24,6 +24,11 @@ Tensor& _pdist_forward_out(
 
   ET_KERNEL_CHECK(ctx, check_pdist_args(in, p, out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
   Tensor::SizesType target_sizes[kTensorDimensionLimit];
   size_t target_ndim = 0;
   get_pdist_out_target_size(in, target_sizes, &target_ndim);
diff --git a/kernels/portable/cpu/op_permute_copy.cpp b/kernels/portable/cpu/op_permute_copy.cpp
index e7df5c9657..e75b34f28d 100644
--- a/kernels/portable/cpu/op_permute_copy.cpp
+++ b/kernels/portable/cpu/op_permute_copy.cpp
@@ -37,7 +37,7 @@ void increment_coordinate_permuted(
 } // namespace
 
 Tensor& permute_copy_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     IntArrayRef dims,
     Tensor& out) {
@@ -46,6 +46,9 @@ Tensor& permute_copy_out(
   ET_KERNEL_CHECK(
       ctx, check_permute_copy_args(in, dims, out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   Tensor::SizesType expected_out_size[kTensorDimensionLimit];
   size_t expected_out_dim = 0;
   get_permute_copy_out_target_size(
@@ -57,15 +60,20 @@ Tensor& permute_copy_out(
       out);
 
   const auto in_type = out.scalar_type();
+
+  size_t in_coord[kTensorDimensionLimit] = {0};
+  size_t trailing_dims_memo[kTensorDimensionLimit];
+  executorch::runtime::memoizeTrailingDims(in, trailing_dims_memo);
+
   // in and out must be the same dtype
   ET_SWITCH_ALL_TYPES(in_type, ctx, "permute_copy.out", CTYPE, [&] {
     const CTYPE* const in_data = in.const_data_ptr<CTYPE>();
     CTYPE* const out_data = out.mutable_data_ptr<CTYPE>();
 
-    size_t in_coord[kTensorDimensionLimit] = {0};
-
     for (size_t i = 0; i < out.numel(); ++i) {
-      out_data[i] = in_data[coordinateToIndex(in, in_coord)];
+      out_data[i] =
+          in_data[executorch::runtime::coordinateToIndexWithTrailingDimsMemo(
+              in, in_coord, trailing_dims_memo)];
       increment_coordinate_permuted(in, in_coord, dims);
     }
   });
diff --git a/kernels/portable/cpu/op_pixel_shuffle.cpp b/kernels/portable/cpu/op_pixel_shuffle.cpp
index 87217cbb9e..a191048386 100644
--- a/kernels/portable/cpu/op_pixel_shuffle.cpp
+++ b/kernels/portable/cpu/op_pixel_shuffle.cpp
@@ -12,12 +12,55 @@
 namespace torch {
 namespace executor {
 namespace native {
+namespace {
+
+template <typename CTYPE>
+void pixel_shuffle_impl(const Tensor& in, int64_t upscale_factor, Tensor& out) {
+  const CTYPE* const in_data = in.const_data_ptr<CTYPE>();
+  CTYPE* const out_data = out.mutable_data_ptr<CTYPE>();
+
+  const auto leading_dims = getLeadingDims(in, in.dim() - 3);
+  const auto channels = in.size(in.dim() - 3);
+  const auto height = in.size(in.dim() - 2);
+  const auto width = in.size(in.dim() - 1);
+
+  const auto sub_channels = channels / (upscale_factor * upscale_factor);
+  const auto S = upscale_factor;
+
+  // input strides
+  const auto stride_n = channels * height * width;
+  const auto stride_c = S * S * height * width;
+  const auto stride_s1 = S * height * width;
+  const auto stride_s2 = height * width;
+  const auto stride_h = width;
+
+  // input tensor shape of [n, c, s1, s2, h, w]
+  // output tensor shape of [n, c, h, s1, w, s2]
+  size_t i = 0;
+  for (size_t n = 0; n < leading_dims; n++) {
+    for (size_t c = 0; c < sub_channels; c++) {
+      for (size_t h = 0; h < height; h++) {
+        for (size_t s1 = 0; s1 < S; s1++) {
+          for (size_t w = 0; w < width; w++) {
+            for (size_t s2 = 0; s2 < S; s2++) {
+              size_t input_offset = n * stride_n + c * stride_c +
+                  s1 * stride_s1 + s2 * stride_s2 + h * stride_h + w;
+              out_data[i++] = in_data[input_offset];
+            }
+          }
+        }
+      }
+    }
+  }
+}
+
+} // namespace
 
 using SizesType = exec_aten::SizesType;
 using Tensor = exec_aten::Tensor;
 
 Tensor& pixel_shuffle_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     int64_t upscale_factor,
     Tensor& out) {
@@ -29,11 +72,10 @@ Tensor& pixel_shuffle_out(
       InvalidArgument,
       out);
 
-  const Tensor::SizesType leading_dims = getLeadingDims(in, in.dim() - 3);
-  const Tensor::SizesType channels = in.size(in.dim() - 3);
-  const Tensor::SizesType height = in.size(in.dim() - 2);
-  const Tensor::SizesType width = in.size(in.dim() - 1);
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
   Tensor::SizesType expected_out_size[kTensorDimensionLimit];
   size_t expected_out_dim = 0;
   get_pixel_shuffle_out_target_size(
@@ -46,47 +88,13 @@ Tensor& pixel_shuffle_out(
       InvalidArgument,
       out);
 
+  constexpr auto name = "pixel_shuffle.out";
+
   const auto in_type = out.scalar_type();
   // in and out must be the same dtype
-  ET_SWITCH_ALL_TYPES(
-      in_type,
-      ctx,
-      "pixel_shuffle.out",
-      CTYPE,
-      [leading_dims, channels, height, width, upscale_factor, &in, &out] {
-        const CTYPE* const in_data = in.const_data_ptr<CTYPE>();
-        CTYPE* const out_data = out.mutable_data_ptr<CTYPE>();
-
-        const int64_t sub_channels =
-            channels / (upscale_factor * upscale_factor);
-        const int64_t S = upscale_factor;
-
-        // input strides
-        int64_t stride_n = channels * height * width;
-        int64_t stride_c = S * S * height * width;
-        int64_t stride_s1 = S * height * width;
-        int64_t stride_s2 = height * width;
-        int64_t stride_h = width;
-
-        // input tensor shape of [n, c, s1, s2, h, w]
-        // output tensor shape of [n, c, h, s1, w, s2]
-        size_t i = 0;
-        for (size_t n = 0; n < leading_dims; n++) {
-          for (size_t c = 0; c < sub_channels; c++) {
-            for (size_t h = 0; h < height; h++) {
-              for (size_t s1 = 0; s1 < S; s1++) {
-                for (size_t w = 0; w < width; w++) {
-                  for (size_t s2 = 0; s2 < S; s2++) {
-                    int64_t input_offset = n * stride_n + c * stride_c +
-                        s1 * stride_s1 + s2 * stride_s2 + h * stride_h + w;
-                    out_data[i++] = in_data[input_offset];
-                  }
-                }
-              }
-            }
-          }
-        }
-      });
+  ET_SWITCH_ALL_TYPES(in_type, ctx, name, CTYPE, [&]() {
+    pixel_shuffle_impl<CTYPE>(in, upscale_factor, out);
+  });
 
   return out;
 }
diff --git a/kernels/portable/cpu/op_pixel_unshuffle.cpp b/kernels/portable/cpu/op_pixel_unshuffle.cpp
new file mode 100644
index 0000000000..0cbc9756d9
--- /dev/null
+++ b/kernels/portable/cpu/op_pixel_unshuffle.cpp
@@ -0,0 +1,104 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/kernels/portable/cpu/util/copy_ops_util.h>
+#include <executorch/runtime/kernel/kernel_includes.h>
+
+namespace torch {
+namespace executor {
+namespace native {
+namespace {
+
+template <typename CTYPE>
+void pixel_unshuffle_impl(
+    const Tensor& in,
+    int64_t downscale_factor,
+    Tensor& out) {
+  const CTYPE* const in_data = in.const_data_ptr<CTYPE>();
+  CTYPE* const out_data = out.mutable_data_ptr<CTYPE>();
+
+  const auto leading_dims = getLeadingDims(in, in.dim() - 3);
+  const auto channels = out.size(in.dim() - 3);
+  const auto height = out.size(in.dim() - 2);
+  const auto width = out.size(in.dim() - 1);
+
+  const auto S = downscale_factor;
+  const auto sub_channels = channels / (S * S);
+
+  // output strides
+  const auto stride_n = channels * height * width;
+  const auto stride_c = S * S * height * width;
+  const auto stride_s1 = S * height * width;
+  const auto stride_s2 = height * width;
+  const auto stride_h = width;
+
+  // input tensor shape of [n, c, h, s1, w, s2]
+  // output tensor shape of [n, c, s1, s2, h, w]
+  size_t i = 0;
+  for (size_t n = 0; n < leading_dims; n++) {
+    for (size_t c = 0; c < sub_channels; c++) {
+      for (size_t h = 0; h < height; h++) {
+        for (size_t s1 = 0; s1 < S; s1++) {
+          for (size_t w = 0; w < width; w++) {
+            for (size_t s2 = 0; s2 < S; s2++) {
+              size_t output_offset = n * stride_n + c * stride_c +
+                  s1 * stride_s1 + s2 * stride_s2 + h * stride_h + w;
+              out_data[output_offset] = in_data[i++];
+            }
+          }
+        }
+      }
+    }
+  }
+}
+
+} // namespace
+
+using SizesType = exec_aten::SizesType;
+using Tensor = exec_aten::Tensor;
+
+Tensor& pixel_unshuffle_out(
+    KernelRuntimeContext& ctx,
+    const Tensor& in,
+    int64_t downscale_factor,
+    Tensor& out) {
+  (void)ctx;
+
+  ET_KERNEL_CHECK(
+      ctx,
+      check_pixel_unshuffle_args(in, downscale_factor, out),
+      InvalidArgument,
+      out);
+
+  // @lint-ignore CLANGTIDY facebook-hte-CArray
+  Tensor::SizesType expected_out_size[kTensorDimensionLimit];
+  size_t expected_out_dim = 0;
+  get_pixel_unshuffle_out_target_size(
+      in, downscale_factor, expected_out_size, &expected_out_dim);
+
+  // Make sure the output tensor is the right size.
+  ET_KERNEL_CHECK(
+      ctx,
+      resize_tensor(out, {expected_out_size, expected_out_dim}) == Error::Ok,
+      InvalidArgument,
+      out);
+
+  constexpr auto name = "pixel_unshuffle.out";
+
+  const auto in_type = out.scalar_type();
+  // in and out must be the same dtype
+  ET_SWITCH_ALL_TYPES(in_type, ctx, name, CTYPE, [&]() {
+    pixel_unshuffle_impl<CTYPE>(in, downscale_factor, out);
+  });
+
+  return out;
+}
+
+} // namespace native
+} // namespace executor
+} // namespace torch
diff --git a/kernels/portable/cpu/op_pow.cpp b/kernels/portable/cpu/op_pow.cpp
index 1555c8872c..c013093313 100644
--- a/kernels/portable/cpu/op_pow.cpp
+++ b/kernels/portable/cpu/op_pow.cpp
@@ -67,7 +67,7 @@ struct PowInner<false, CTYPE_A, CTYPE_B, CTYPE_IN, CTYPE_OUT>
 } // namespace
 
 Tensor& pow_Tensor_Tensor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -110,7 +110,7 @@ Tensor& pow_Tensor_Tensor_out(
 }
 
 Tensor& pow_Tensor_Scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     Tensor& out) {
@@ -165,7 +165,7 @@ Tensor& pow_Tensor_Scalar_out(
 }
 
 Tensor& pow_Scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Scalar& a,
     const Tensor& b,
     Tensor& out) {
diff --git a/kernels/portable/cpu/op_prod.cpp b/kernels/portable/cpu/op_prod.cpp
index 9ed857468a..9580dee2d1 100644
--- a/kernels/portable/cpu/op_prod.cpp
+++ b/kernels/portable/cpu/op_prod.cpp
@@ -17,7 +17,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& prod_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     optional<ScalarType> dtype,
     Tensor& out) {
@@ -48,7 +48,7 @@ Tensor& prod_out(
 }
 
 Tensor& prod_int_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     int64_t dim,
     bool keepdim,
diff --git a/kernels/portable/cpu/op_reciprocal.cpp b/kernels/portable/cpu/op_reciprocal.cpp
index e79ec52212..dc120119a3 100644
--- a/kernels/portable/cpu/op_reciprocal.cpp
+++ b/kernels/portable/cpu/op_reciprocal.cpp
@@ -20,7 +20,8 @@ double reciprocal(double x) {
 
 } // namespace
 
-Tensor& reciprocal_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor&
+reciprocal_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(reciprocal, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_reflection_pad1d.cpp b/kernels/portable/cpu/op_reflection_pad1d.cpp
index 66a2333619..253097df17 100644
--- a/kernels/portable/cpu/op_reflection_pad1d.cpp
+++ b/kernels/portable/cpu/op_reflection_pad1d.cpp
@@ -16,7 +16,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& reflection_pad1d_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     exec_aten::ArrayRef<int64_t> padding,
     Tensor& out) {
@@ -28,6 +28,11 @@ Tensor& reflection_pad1d_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
   Tensor::SizesType target_sizes[kTensorDimensionLimit];
   size_t target_ndim = 0;
   get_padding_out_target_size(1, in, padding, target_sizes, &target_ndim);
diff --git a/kernels/portable/cpu/op_reflection_pad2d.cpp b/kernels/portable/cpu/op_reflection_pad2d.cpp
index a16d92ff1c..31bfa13aff 100644
--- a/kernels/portable/cpu/op_reflection_pad2d.cpp
+++ b/kernels/portable/cpu/op_reflection_pad2d.cpp
@@ -16,7 +16,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& reflection_pad2d_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     exec_aten::ArrayRef<int64_t> padding,
     Tensor& out) {
@@ -28,6 +28,11 @@ Tensor& reflection_pad2d_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
   Tensor::SizesType target_sizes[kTensorDimensionLimit];
   size_t target_ndim = 0;
   get_padding_out_target_size(2, in, padding, target_sizes, &target_ndim);
diff --git a/kernels/portable/cpu/op_reflection_pad3d.cpp b/kernels/portable/cpu/op_reflection_pad3d.cpp
index 9629b9e4c4..889a38fbe2 100644
--- a/kernels/portable/cpu/op_reflection_pad3d.cpp
+++ b/kernels/portable/cpu/op_reflection_pad3d.cpp
@@ -16,7 +16,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& reflection_pad3d_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     exec_aten::ArrayRef<int64_t> padding,
     Tensor& out) {
@@ -28,6 +28,11 @@ Tensor& reflection_pad3d_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
   Tensor::SizesType target_sizes[kTensorDimensionLimit];
   size_t target_ndim = 0;
   get_padding_out_target_size(3, in, padding, target_sizes, &target_ndim);
diff --git a/kernels/portable/cpu/op_relu.cpp b/kernels/portable/cpu/op_relu.cpp
index b9136cb339..2ec258e2c4 100644
--- a/kernels/portable/cpu/op_relu.cpp
+++ b/kernels/portable/cpu/op_relu.cpp
@@ -19,7 +19,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
-Tensor& relu_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& relu_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   (void)ctx;
 
   // Resize for dynamic shape
@@ -35,6 +35,9 @@ Tensor& relu_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
 
   ET_KERNEL_CHECK(ctx, tensor_is_real_type(out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ET_SWITCH_REAL_TYPES(in.scalar_type(), ctx, "relu.out", CTYPE, [&]() {
     apply_unary_map_fn(
         [](const CTYPE val_in) {
diff --git a/kernels/portable/cpu/op_remainder.cpp b/kernels/portable/cpu/op_remainder.cpp
index 7c858c1c08..8f25a72167 100644
--- a/kernels/portable/cpu/op_remainder.cpp
+++ b/kernels/portable/cpu/op_remainder.cpp
@@ -67,7 +67,7 @@ struct RemainderInner<false, CTYPE_A, CTYPE_B, CTYPE_IN, CTYPE_OUT>
 
 } // namespace
 Tensor& remainder_Tensor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -80,6 +80,9 @@ Tensor& remainder_Tensor_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, b, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = b.scalar_type();
   ScalarType common_type = promoteTypes(a_type, b_type);
@@ -110,7 +113,7 @@ Tensor& remainder_Tensor_out(
 }
 
 Tensor& remainder_Scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     Tensor& out) {
@@ -124,6 +127,9 @@ Tensor& remainder_Scalar_out(
       out,
       "Failed to resize output tensor.");
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = utils::get_scalar_dtype(b);
   ScalarType common_type = utils::promote_type_with_scalar(a_type, b);
diff --git a/kernels/portable/cpu/op_repeat.cpp b/kernels/portable/cpu/op_repeat.cpp
index 644ebc9842..e136b8c725 100644
--- a/kernels/portable/cpu/op_repeat.cpp
+++ b/kernels/portable/cpu/op_repeat.cpp
@@ -49,7 +49,7 @@ using Tensor = exec_aten::Tensor;
 
 // repeat.out(Tensor self, int[] repeats, *, Tensor(a!) out) -> Tensor(a!)
 Tensor& repeat_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& self,
     exec_aten::ArrayRef<int64_t> repeats,
     Tensor& out) {
@@ -62,6 +62,11 @@ Tensor& repeat_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(self, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(self), InvalidArgument, out);
+
   // Resize for dynamic shape
   ET_KERNEL_CHECK_MSG(
       ctx,
diff --git a/kernels/portable/cpu/op_replication_pad1d.cpp b/kernels/portable/cpu/op_replication_pad1d.cpp
index 8d1c12199e..904e285f1a 100644
--- a/kernels/portable/cpu/op_replication_pad1d.cpp
+++ b/kernels/portable/cpu/op_replication_pad1d.cpp
@@ -16,7 +16,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& replication_pad1d_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     exec_aten::ArrayRef<int64_t> padding,
     Tensor& out) {
diff --git a/kernels/portable/cpu/op_replication_pad2d.cpp b/kernels/portable/cpu/op_replication_pad2d.cpp
index 7763574afe..1e8fd5b866 100644
--- a/kernels/portable/cpu/op_replication_pad2d.cpp
+++ b/kernels/portable/cpu/op_replication_pad2d.cpp
@@ -16,7 +16,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& replication_pad2d_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     exec_aten::ArrayRef<int64_t> padding,
     Tensor& out) {
diff --git a/kernels/portable/cpu/op_replication_pad3d.cpp b/kernels/portable/cpu/op_replication_pad3d.cpp
index 767ffd9c9e..e6b097b2d1 100644
--- a/kernels/portable/cpu/op_replication_pad3d.cpp
+++ b/kernels/portable/cpu/op_replication_pad3d.cpp
@@ -16,7 +16,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& replication_pad3d_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     exec_aten::ArrayRef<int64_t> padding,
     Tensor& out) {
diff --git a/kernels/portable/cpu/op_roll.cpp b/kernels/portable/cpu/op_roll.cpp
index 4eff081eec..ade564c300 100644
--- a/kernels/portable/cpu/op_roll.cpp
+++ b/kernels/portable/cpu/op_roll.cpp
@@ -47,7 +47,7 @@ size_t unshift_flat_ix(size_t ix, const Tensor& in, IntArrayRef dim_shifts) {
 } // namespace
 
 Tensor& roll_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     IntArrayRef shifts,
     IntArrayRef dims,
@@ -60,6 +60,9 @@ Tensor& roll_out(
   ET_KERNEL_CHECK(
       ctx, check_roll_args(in, shifts, dims, out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   if (in.numel() == 0) {
     return out;
   }
diff --git a/kernels/portable/cpu/op_round.cpp b/kernels/portable/cpu/op_round.cpp
index 0b28ba4188..c14d75dc31 100644
--- a/kernels/portable/cpu/op_round.cpp
+++ b/kernels/portable/cpu/op_round.cpp
@@ -30,7 +30,7 @@ inline CTYPE round_to_even(CTYPE a) {
 
 } // namespace
 
-Tensor& round_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& round_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   (void)ctx;
 
   // Resize for dynamic shape
@@ -45,6 +45,9 @@ Tensor& round_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
       ctx, tensors_have_same_shape_and_dtype(in, out), InvalidArgument, out);
   ET_KERNEL_CHECK(ctx, tensor_is_real_type(out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   auto in_scalar_type = in.scalar_type();
 
   ET_SWITCH_REAL_TYPES(in.scalar_type(), ctx, "round.out", CTYPE, [&] {
diff --git a/kernels/portable/cpu/op_rsqrt.cpp b/kernels/portable/cpu/op_rsqrt.cpp
index df682c297b..bb9a6dc458 100644
--- a/kernels/portable/cpu/op_rsqrt.cpp
+++ b/kernels/portable/cpu/op_rsqrt.cpp
@@ -20,7 +20,7 @@ double rsqrt(double x) {
 
 } // namespace
 
-Tensor& rsqrt_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& rsqrt_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(rsqrt, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_rsub.cpp b/kernels/portable/cpu/op_rsub.cpp
index 6a5ef598ef..5445c2df1f 100644
--- a/kernels/portable/cpu/op_rsub.cpp
+++ b/kernels/portable/cpu/op_rsub.cpp
@@ -16,7 +16,7 @@ namespace executor {
 namespace native {
 
 Tensor& rsub_scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     const Scalar& alpha,
@@ -31,6 +31,9 @@ Tensor& rsub_scalar_out(
       out,
       "Failed to resize output tensor.");
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
+
   ET_KERNEL_CHECK(ctx, tensor_is_realhb_type(out), InvalidArgument, out);
 
   ScalarType a_type = a.scalar_type();
diff --git a/kernels/portable/cpu/op_scalar_tensor.cpp b/kernels/portable/cpu/op_scalar_tensor.cpp
index b69267c991..f7a4acfdce 100644
--- a/kernels/portable/cpu/op_scalar_tensor.cpp
+++ b/kernels/portable/cpu/op_scalar_tensor.cpp
@@ -13,7 +13,8 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& scalar_tensor_out(RuntimeContext& ctx, const Scalar& s, Tensor& out) {
+Tensor&
+scalar_tensor_out(KernelRuntimeContext& ctx, const Scalar& s, Tensor& out) {
   (void)ctx;
 
   ET_KERNEL_CHECK(
@@ -24,13 +25,14 @@ Tensor& scalar_tensor_out(RuntimeContext& ctx, const Scalar& s, Tensor& out) {
 
   constexpr auto name = "scalar_tensor.out";
 
-  ET_SWITCH_REALHB_TYPES(out_type, ctx, name, CTYPE, [&]() {
-    ET_SWITCH_SCALAR_OBJ_TYPES(s_type, ctx, name, CTYPE_S, [&]() {
-      CTYPE_S val_s;
-      utils::extract_scalar(s, &val_s);
-      out.mutable_data_ptr<CTYPE>()[0] = convert<CTYPE, CTYPE_S>(val_s);
-    });
-  });
+  ET_SWITCH_REAL_TYPES_AND3(
+      Half, Bool, BFloat16, out_type, ctx, name, CTYPE, [&]() {
+        ET_SWITCH_SCALAR_OBJ_TYPES(s_type, ctx, name, CTYPE_S, [&]() {
+          CTYPE_S val_s;
+          utils::extract_scalar(s, &val_s);
+          out.mutable_data_ptr<CTYPE>()[0] = convert<CTYPE, CTYPE_S>(val_s);
+        });
+      });
 
   return out;
 }
diff --git a/kernels/portable/cpu/op_scatter.cpp b/kernels/portable/cpu/op_scatter.cpp
new file mode 100644
index 0000000000..ee9b202c6c
--- /dev/null
+++ b/kernels/portable/cpu/op_scatter.cpp
@@ -0,0 +1,171 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <cinttypes>
+#include <cstdint>
+#include <cstring>
+
+#include <executorch/kernels/portable/cpu/scalar_utils.h>
+#include <executorch/kernels/portable/cpu/util/index_util.h>
+#include <executorch/runtime/kernel/kernel_includes.h>
+
+namespace torch {
+namespace executor {
+namespace native {
+
+using Tensor = exec_aten::Tensor;
+using ScalarType = exec_aten::ScalarType;
+
+namespace {
+
+template <typename CTYPE>
+void scatter_src_helper(
+    const Tensor& in,
+    int64_t dim,
+    const Tensor& index,
+    const Tensor& src,
+    Tensor& out) {
+  const CTYPE* in_data = in.const_data_ptr<CTYPE>();
+  const long* index_data = index.const_data_ptr<long>();
+  const CTYPE* src_data = src.const_data_ptr<CTYPE>();
+  CTYPE* out_data = out.mutable_data_ptr<CTYPE>();
+
+  memcpy(out_data, in_data, in.nbytes());
+
+  if (dim < 0) {
+    dim += nonzero_dim(in);
+  }
+
+  for (size_t ix = 0; ix < index.numel(); ++ix) {
+    // @lint-ignore CLANGTIDY facebook-hte-CArray
+    size_t ix_coord[kTensorDimensionLimit];
+    indexToCoordinate(index, ix, ix_coord);
+
+    size_t src_ix = coordinateToIndex(src, ix_coord);
+
+    // @lint-ignore CLANGTIDY facebook-hte-CArray
+    size_t out_coord[kTensorDimensionLimit];
+    for (size_t i = 0; i < out.dim(); ++i) {
+      if (i == dim) {
+        out_coord[i] = index_data[ix];
+      } else {
+        out_coord[i] = ix_coord[i];
+      }
+    }
+    size_t out_ix = coordinateToIndex(out, out_coord);
+
+    out_data[out_ix] = src_data[src_ix];
+  }
+}
+
+template <typename CTYPE, typename CTYPE_VAL>
+void scatter_value_helper(
+    const Tensor& in,
+    int64_t dim,
+    const Tensor& index,
+    CTYPE_VAL val,
+    Tensor& out) {
+  const CTYPE* in_data = in.const_data_ptr<CTYPE>();
+  const long* index_data = index.const_data_ptr<long>();
+  CTYPE* out_data = out.mutable_data_ptr<CTYPE>();
+
+  memcpy(out_data, in_data, in.nbytes());
+
+  if (dim < 0) {
+    dim += nonzero_dim(in);
+  }
+
+  for (size_t ix = 0; ix < index.numel(); ++ix) {
+    // @lint-ignore CLANGTIDY facebook-hte-CArray
+    size_t ix_coord[kTensorDimensionLimit];
+    indexToCoordinate(index, ix, ix_coord);
+
+    // @lint-ignore CLANGTIDY facebook-hte-CArray
+    size_t out_coord[kTensorDimensionLimit];
+    for (size_t i = 0; i < out.dim(); ++i) {
+      if (i == dim) {
+        out_coord[i] = index_data[ix];
+      } else {
+        out_coord[i] = ix_coord[i];
+      }
+    }
+    size_t out_ix = coordinateToIndex(out, out_coord);
+
+    out_data[out_ix] = static_cast<CTYPE>(val);
+  }
+}
+
+} // namespace
+
+Tensor& scatter_src_out(
+    KernelRuntimeContext& context,
+    const Tensor& in,
+    int64_t dim,
+    const Tensor& index,
+    const Tensor& src,
+    Tensor& out) {
+  (void)context;
+
+  ET_KERNEL_CHECK(
+      context,
+      check_scatter_src_args(in, dim, index, src, out),
+      InvalidArgument,
+      out);
+
+  ET_KERNEL_CHECK(
+      context,
+      resize_tensor(out, in.sizes()) == Error::Ok,
+      InvalidArgument,
+      out);
+
+  constexpr auto name = "scatter.src_out";
+
+  ET_SWITCH_REALHB_TYPES(in.scalar_type(), ctx, name, CTYPE, [&]() {
+    scatter_src_helper<CTYPE>(in, dim, index, src, out);
+  });
+
+  return out;
+}
+
+Tensor& scatter_value_out(
+    KernelRuntimeContext& ctx,
+    const Tensor& in,
+    int64_t dim,
+    const Tensor& index,
+    const Scalar& value,
+    Tensor& out) {
+  (void)ctx;
+
+  ET_KERNEL_CHECK(
+      ctx,
+      check_scatter_value_args(in, dim, index, value, out),
+      InvalidArgument,
+      out);
+
+  ET_KERNEL_CHECK(
+      ctx, resize_tensor(out, in.sizes()) == Error::Ok, InvalidArgument, out);
+
+  ScalarType val_type = utils::get_scalar_dtype(value);
+
+  constexpr auto name = "scatter.value_out";
+
+  ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
+    CTYPE_VAL val;
+    utils::extract_scalar(value, &val);
+
+    ET_SWITCH_REALHB_TYPES(in.scalar_type(), ctx, name, CTYPE, [&]() {
+      scatter_value_helper<CTYPE>(in, dim, index, val, out);
+    });
+  });
+
+  return out;
+}
+
+} // namespace native
+} // namespace executor
+} // namespace torch
diff --git a/kernels/portable/cpu/op_scatter_add.cpp b/kernels/portable/cpu/op_scatter_add.cpp
index e10d87f919..ec91594faf 100644
--- a/kernels/portable/cpu/op_scatter_add.cpp
+++ b/kernels/portable/cpu/op_scatter_add.cpp
@@ -51,7 +51,7 @@ void scatter_add_helper(
 } // namespace
 
 Tensor& scatter_add_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& self,
     int64_t dim,
     const Tensor& index,
@@ -65,6 +65,15 @@ Tensor& scatter_add_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      context,
+      tensors_have_same_dim_order(self, src, out),
+      InvalidArgument,
+      out);
+
+  ET_KERNEL_CHECK(
+      context, tensor_is_default_dim_order(index), InvalidArgument, out);
+
   if (dim < 0) {
     dim += nonzero_dim(self);
   }
diff --git a/kernels/portable/cpu/op_select_copy.cpp b/kernels/portable/cpu/op_select_copy.cpp
index 140eea062d..8df9fd00cb 100644
--- a/kernels/portable/cpu/op_select_copy.cpp
+++ b/kernels/portable/cpu/op_select_copy.cpp
@@ -18,7 +18,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& select_copy_int_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     int64_t dim,
     int64_t index,
diff --git a/kernels/portable/cpu/op_select_scatter.cpp b/kernels/portable/cpu/op_select_scatter.cpp
index 71e7d9dfef..41e034aae0 100644
--- a/kernels/portable/cpu/op_select_scatter.cpp
+++ b/kernels/portable/cpu/op_select_scatter.cpp
@@ -22,7 +22,7 @@ using Tensor = exec_aten::Tensor;
 /// aten::select_scatter.out(Tensor self, Tensor src, int dim, SymInt index, *,
 /// Tensor(a!) out) -> Tensor(a!)
 Tensor& select_scatter_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     const Tensor& src,
     int64_t dim,
@@ -33,6 +33,9 @@ Tensor& select_scatter_out(
   ET_KERNEL_CHECK(
       ctx, resize_tensor(out, in.sizes()) == Error::Ok, InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, src, out), InvalidArgument, out);
+
   // Account for negative indices
   if (dim < 0) {
     dim += in.dim();
diff --git a/kernels/portable/cpu/op_sigmoid.cpp b/kernels/portable/cpu/op_sigmoid.cpp
index b696c29518..84c4ea2f54 100644
--- a/kernels/portable/cpu/op_sigmoid.cpp
+++ b/kernels/portable/cpu/op_sigmoid.cpp
@@ -17,13 +17,16 @@ namespace native {
 
 using Tensor = exec_aten::Tensor;
 
-Tensor& sigmoid_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& sigmoid_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   (void)ctx;
 
   ET_KERNEL_CHECK(
       ctx, in.scalar_type() != ScalarType::Bool, InvalidArgument, out);
   ET_KERNEL_CHECK(ctx, tensor_is_floating_type(out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   // Resize for dynamic shape
   ET_KERNEL_CHECK_MSG(
       ctx,
diff --git a/kernels/portable/cpu/op_sign.cpp b/kernels/portable/cpu/op_sign.cpp
index 6dc6f3d015..af3225d477 100644
--- a/kernels/portable/cpu/op_sign.cpp
+++ b/kernels/portable/cpu/op_sign.cpp
@@ -19,7 +19,7 @@ namespace native {
 
 using exec_aten::Tensor;
 
-Tensor& sign_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& sign_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   (void)ctx;
 
   // Resize for dynamic shape
@@ -30,6 +30,9 @@ Tensor& sign_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
       out,
       "Failed to resize output tensor.");
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ET_KERNEL_CHECK(
       ctx, tensors_have_same_shape_and_dtype(in, out), InvalidArgument, out);
 
diff --git a/kernels/portable/cpu/op_sin.cpp b/kernels/portable/cpu/op_sin.cpp
index a7d7905c7b..102d0a5cd9 100644
--- a/kernels/portable/cpu/op_sin.cpp
+++ b/kernels/portable/cpu/op_sin.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& sin_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& sin_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::sin, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_sinh.cpp b/kernels/portable/cpu/op_sinh.cpp
index e53246fbe7..b06a0a2b06 100644
--- a/kernels/portable/cpu/op_sinh.cpp
+++ b/kernels/portable/cpu/op_sinh.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& sinh_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& sinh_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::sinh, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_slice_copy.cpp b/kernels/portable/cpu/op_slice_copy.cpp
index d56bdcd864..984bbd2997 100644
--- a/kernels/portable/cpu/op_slice_copy.cpp
+++ b/kernels/portable/cpu/op_slice_copy.cpp
@@ -6,8 +6,7 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-#include <executorch/kernels/portable/cpu/util/copy_ops_util.h>
-#include <executorch/kernels/portable/cpu/util/index_util.h>
+#include <executorch/kernels/portable/cpu/util/slice_util.h>
 #include <executorch/runtime/kernel/kernel_includes.h>
 #include <cstring>
 
@@ -18,7 +17,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& slice_copy_Tensor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     int64_t dim,
     exec_aten::optional<int64_t> start_val,
@@ -34,6 +33,9 @@ Tensor& slice_copy_Tensor_out(
     dim += in.dim();
   }
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   // If user do not set value to end_val, set end to in.size(dim) (largest
   // value available)
   int64_t end = end_val.has_value() ? end_val.value() : in.size(dim);
@@ -41,40 +43,20 @@ Tensor& slice_copy_Tensor_out(
   // available)
   int64_t start = start_val.has_value() ? start_val.value() : 0;
 
-  int64_t num_values = adjust_slice_indices(in.size(dim), &start, &end, step);
+  int64_t length = adjust_slice_indices(in.size(dim), &start, &end, step);
 
+  // @lint-ignore CLANGTIDY facebook-hte-CArray
   Tensor::SizesType target_sizes[kTensorDimensionLimit];
   size_t target_ndim = 0;
-  get_slice_copy_out_target_size(
-      in, dim, num_values, target_sizes, &target_ndim);
+  get_slice_copy_out_target_size(in, dim, length, target_sizes, &target_ndim);
   ET_KERNEL_CHECK(
       ctx,
       resize_tensor(out, {target_sizes, target_ndim}) == Error::Ok,
       InvalidArgument,
       out);
 
-  size_t dim_length = in.size(dim);
-
-  size_t leading_dims = getLeadingDims(in, dim);
-  size_t trailing_dims = getTrailingDims(in, dim);
-
-  if (trailing_dims == 0) {
-    return out;
-  }
-
-  size_t length_per_step = trailing_dims * in.element_size();
+  compute_slice(in, dim, start, length, step, out);
 
-  const char* input_data = in.const_data_ptr<char>();
-  char* dest = out.mutable_data_ptr<char>();
-
-  for (int i = 0; i < leading_dims; i++) {
-    const char* src = input_data + (i * dim_length + start) * length_per_step;
-    for (int j = 0; j < num_values; j++) {
-      memcpy(dest, src, length_per_step);
-      src += step * length_per_step;
-      dest += length_per_step;
-    }
-  }
   return out;
 }
 
diff --git a/kernels/portable/cpu/op_slice_scatter.cpp b/kernels/portable/cpu/op_slice_scatter.cpp
index 367b626696..8b97ff3b3e 100644
--- a/kernels/portable/cpu/op_slice_scatter.cpp
+++ b/kernels/portable/cpu/op_slice_scatter.cpp
@@ -9,7 +9,7 @@
 #include <cstdint>
 #include <cstring>
 
-#include <executorch/kernels/portable/cpu/util/index_util.h>
+#include <executorch/kernels/portable/cpu/util/slice_util.h>
 #include <executorch/runtime/kernel/kernel_includes.h>
 
 namespace torch {
@@ -19,7 +19,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& slice_scatter_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& input,
     const Tensor& src,
     int64_t dim,
@@ -40,6 +40,9 @@ Tensor& slice_scatter_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(input, out), InvalidArgument, out);
+
   if (input.numel() == 0) {
     return out;
   }
@@ -74,8 +77,8 @@ Tensor& slice_scatter_out(
   ScalarType in_type = input.scalar_type();
   ScalarType src_type = src.scalar_type();
 
-  ET_SWITCH_REALHB_TYPES(in_type, ctx, "slice_scatter.out", CTYPE, [&]() {
-    ET_SWITCH_REALHB_TYPES(
+  ET_SWITCH_REALHBBF16_TYPES(in_type, ctx, "slice_scatter.out", CTYPE, [&]() {
+    ET_SWITCH_REALHBBF16_TYPES(
         src_type, ctx, "slice_scatter.out", CTYPE_SRC, [&]() {
           CTYPE* out_data = out.mutable_data_ptr<CTYPE>();
           const CTYPE_SRC* src_data = src.const_data_ptr<CTYPE_SRC>();
diff --git a/kernels/portable/cpu/op_softmax.cpp b/kernels/portable/cpu/op_softmax.cpp
index 9f1565ff16..09cd8befde 100644
--- a/kernels/portable/cpu/op_softmax.cpp
+++ b/kernels/portable/cpu/op_softmax.cpp
@@ -20,7 +20,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& softmax_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     int64_t dim,
     bool half_to_float,
@@ -36,6 +36,9 @@ Tensor& softmax_out(
   ET_KERNEL_CHECK(
       ctx, resize_tensor(out, in.sizes()) == Error::Ok, InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   // Adjust for negative dim
   dim = dim < 0 ? dim + nonzero_dim(in) : dim;
 
diff --git a/kernels/portable/cpu/op_split_copy.cpp b/kernels/portable/cpu/op_split_copy.cpp
index a604e76b51..0da792efb3 100644
--- a/kernels/portable/cpu/op_split_copy.cpp
+++ b/kernels/portable/cpu/op_split_copy.cpp
@@ -30,7 +30,7 @@ using TensorList = exec_aten::TensorList;
  * Tensor(a!)[] out) -> ()
  */
 void split_copy_Tensor_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& input,
     int64_t split_size,
     int64_t dim,
@@ -46,6 +46,11 @@ void split_copy_Tensor_out(
       check_split_copy_args(input, split_size, dim, out),
       InvalidArgument, );
 
+  for (size_t i = 0; i < out.size(); ++i) {
+    ET_KERNEL_CHECK(
+        ctx, tensors_have_same_dim_order(input, out[i]), InvalidArgument, );
+  }
+
   const size_t leading_dims = getLeadingDims(input, dim);
   const size_t trailing_dims = getTrailingDims(input, dim);
   const size_t step = input.size(dim) * trailing_dims;
diff --git a/kernels/portable/cpu/op_split_with_sizes_copy.cpp b/kernels/portable/cpu/op_split_with_sizes_copy.cpp
index 7d1b485e7a..ab7dce1d1a 100644
--- a/kernels/portable/cpu/op_split_with_sizes_copy.cpp
+++ b/kernels/portable/cpu/op_split_with_sizes_copy.cpp
@@ -21,7 +21,7 @@ using Tensor = exec_aten::Tensor;
 using TensorList = exec_aten::TensorList;
 
 void split_with_sizes_copy_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     exec_aten::ArrayRef<int64_t> split_sizes,
     int64_t dim,
@@ -38,6 +38,11 @@ void split_with_sizes_copy_out(
       check_split_with_sizes_copy_args(in, split_sizes, dim, out),
       InvalidArgument, );
 
+  for (size_t i = 0; i < out.size(); ++i) {
+    ET_KERNEL_CHECK(
+        ctx, tensors_have_same_dim_order(in, out[i]), InvalidArgument, );
+  }
+
   // If out is empty, then nothing needs to be done after checking the args.
   // Valid args implies that in.size(dim) == 0 and split_sizes is also empty.
   if (out.size() == 0) {
diff --git a/kernels/portable/cpu/op_sqrt.cpp b/kernels/portable/cpu/op_sqrt.cpp
index 3b697d7d75..d1a88869f9 100644
--- a/kernels/portable/cpu/op_sqrt.cpp
+++ b/kernels/portable/cpu/op_sqrt.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& sqrt_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& sqrt_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::sqrt, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_squeeze_copy.cpp b/kernels/portable/cpu/op_squeeze_copy.cpp
index 5be91ff827..82ff1016e2 100644
--- a/kernels/portable/cpu/op_squeeze_copy.cpp
+++ b/kernels/portable/cpu/op_squeeze_copy.cpp
@@ -20,7 +20,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& squeeze_copy_dim_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     int64_t dim,
     Tensor& out) {
@@ -29,6 +29,11 @@ Tensor& squeeze_copy_dim_out(
   ET_KERNEL_CHECK(
       ctx, check_squeeze_copy_dim_args(in, dim, out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
   if (dim < 0) {
     dim += nonzero_dim(in);
   }
@@ -53,7 +58,7 @@ Tensor& squeeze_copy_dim_out(
 }
 
 Tensor& squeeze_copy_dims_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     exec_aten::ArrayRef<int64_t> dims,
     Tensor& out) {
@@ -62,6 +67,11 @@ Tensor& squeeze_copy_dims_out(
   ET_KERNEL_CHECK(
       ctx, check_squeeze_copy_dims_args(in, dims, out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
   Tensor::SizesType expected_out_size[kTensorDimensionLimit];
   size_t expected_out_dim = 0;
   get_squeeze_copy_dims_out_target_size(
diff --git a/kernels/portable/cpu/op_stack.cpp b/kernels/portable/cpu/op_stack.cpp
index f241120ae2..d3cca7ea81 100644
--- a/kernels/portable/cpu/op_stack.cpp
+++ b/kernels/portable/cpu/op_stack.cpp
@@ -18,7 +18,7 @@ namespace native {
 using Tensor = exec_aten::Tensor;
 
 Tensor& stack_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     exec_aten::ArrayRef<Tensor> tensors,
     int64_t dim,
     Tensor& out) {
@@ -31,6 +31,16 @@ Tensor& stack_out(
   ET_KERNEL_CHECK(
       ctx, check_stack_args(tensors, dim, out), InvalidArgument, out);
 
+  for (size_t i = 0; i < tensors.size(); ++i) {
+    ET_KERNEL_CHECK(
+        ctx,
+        tensors_have_same_dim_order(tensors[i], out),
+        InvalidArgument,
+        out);
+  }
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(out), InvalidArgument, out);
+
   Tensor::SizesType expected_out_size[kTensorDimensionLimit];
   size_t expected_out_dim = 0;
   get_stack_out_target_size(tensors, dim, expected_out_size, &expected_out_dim);
diff --git a/kernels/portable/cpu/op_sub.cpp b/kernels/portable/cpu/op_sub.cpp
index 04254653a4..d366c40b77 100644
--- a/kernels/portable/cpu/op_sub.cpp
+++ b/kernels/portable/cpu/op_sub.cpp
@@ -67,7 +67,7 @@ struct SubInner<false, CTYPE_A, CTYPE_B, CTYPE_IN, CTYPE_OUT>
 } // namespace
 
 Tensor& sub_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     const Scalar& alpha,
@@ -78,6 +78,9 @@ Tensor& sub_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, b, out), InvalidArgument, out);
+
   ET_KERNEL_CHECK(ctx, tensor_is_realh_type(out), InvalidArgument, out);
 
   ScalarType a_type = a.scalar_type();
@@ -114,7 +117,7 @@ Tensor& sub_out(
 }
 
 Tensor& sub_scalar_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Scalar& b,
     const Scalar& alpha,
@@ -131,6 +134,9 @@ Tensor& sub_scalar_out(
 
   ET_KERNEL_CHECK(ctx, tensor_is_realh_type(out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = utils::get_scalar_dtype(b);
   ScalarType alpha_type = utils::get_scalar_dtype(alpha);
diff --git a/kernels/portable/cpu/op_sum.cpp b/kernels/portable/cpu/op_sum.cpp
index dfa897206a..3c897c3487 100644
--- a/kernels/portable/cpu/op_sum.cpp
+++ b/kernels/portable/cpu/op_sum.cpp
@@ -18,7 +18,7 @@ using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
 
 Tensor& sum_dim_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     optional<ArrayRef<int64_t>> dim_list,
     bool keepdim,
@@ -38,6 +38,11 @@ Tensor& sum_dim_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
   ET_SWITCH_REAL_TYPES_AND(
       Bool, in.scalar_type(), ctx, "sum.IntList_out", CTYPE_IN, [&] {
         ET_SWITCH_REAL_TYPES_AND(
diff --git a/kernels/portable/cpu/op_t_copy.cpp b/kernels/portable/cpu/op_t_copy.cpp
index c6a2ad5fdb..4dd7622888 100644
--- a/kernels/portable/cpu/op_t_copy.cpp
+++ b/kernels/portable/cpu/op_t_copy.cpp
@@ -24,7 +24,7 @@ using Tensor = exec_aten::Tensor;
  * is equivalent to transpose(input, 0, 1).
  * t_copy.out(Tensor self, Tensor(a!) out)
  */
-Tensor& t_copy_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& t_copy_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   (void)ctx;
 
   ET_KERNEL_CHECK(ctx, check_t_copy_args(in, out), InvalidArgument, out);
@@ -47,6 +47,11 @@ Tensor& t_copy_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
     return out;
   }
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
   Tensor::SizesType expected_out_size[kTensorDimensionLimit];
   size_t expected_out_dim = 0;
   get_transpose_out_target_size(in, 1, 0, expected_out_size, &expected_out_dim);
diff --git a/kernels/portable/cpu/op_tan.cpp b/kernels/portable/cpu/op_tan.cpp
index 4e98eb556f..fa5ab08363 100644
--- a/kernels/portable/cpu/op_tan.cpp
+++ b/kernels/portable/cpu/op_tan.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& tan_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& tan_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::tan, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_tanh.cpp b/kernels/portable/cpu/op_tanh.cpp
index ba2d697159..0935c5bc93 100644
--- a/kernels/portable/cpu/op_tanh.cpp
+++ b/kernels/portable/cpu/op_tanh.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& tanh_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& tanh_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realhb_to_floath(std::tanh, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_to_copy.cpp b/kernels/portable/cpu/op_to_copy.cpp
index 7ecd4f3b5e..586691a52e 100644
--- a/kernels/portable/cpu/op_to_copy.cpp
+++ b/kernels/portable/cpu/op_to_copy.cpp
@@ -29,7 +29,7 @@ void _to_impl(const Tensor& self, Tensor& out) {
 // to_copy.out(Tensor self, *, bool non_blocking=False, MemoryFormat?
 // memory_format=None, Tensor(a!) out) -> Tensor(a!)
 Tensor& to_copy_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& self,
     bool non_blocking,
     exec_aten::optional<exec_aten::MemoryFormat> memory_format,
@@ -46,10 +46,16 @@ Tensor& to_copy_out(
       InvalidArgument,
       out);
 
-  ET_SWITCH_REALHB_TYPES(self.scalar_type(), ctx, "to_copy", CTYPE_IN, [&] {
-    ET_SWITCH_REALHB_TYPES(out.scalar_type(), ctx, "to_copy", CTYPE_OUT, [&] {
-      _to_impl<CTYPE_IN, CTYPE_OUT>(self, out);
-    });
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(self, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(self), InvalidArgument, out);
+
+  ET_SWITCH_REALHBBF16_TYPES(self.scalar_type(), ctx, "to_copy", CTYPE_IN, [&] {
+    ET_SWITCH_REALHBBF16_TYPES(
+        out.scalar_type(), ctx, "to_copy", CTYPE_OUT, [&] {
+          _to_impl<CTYPE_IN, CTYPE_OUT>(self, out);
+        });
   });
 
   return out;
diff --git a/kernels/portable/cpu/op_topk.cpp b/kernels/portable/cpu/op_topk.cpp
new file mode 100644
index 0000000000..1c862c5761
--- /dev/null
+++ b/kernels/portable/cpu/op_topk.cpp
@@ -0,0 +1,251 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <cmath>
+#include <tuple>
+
+#include <executorch/runtime/kernel/kernel_includes.h>
+
+namespace torch {
+namespace executor {
+namespace native {
+namespace {
+
+bool check_topk_args(
+    const Tensor& in,
+    int64_t k,
+    int64_t dim,
+    Tensor& values,
+    Tensor& indices) {
+  ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_dtype(in, values));
+  ET_LOG_AND_RETURN_IF_FALSE(indices.scalar_type() == ScalarType::Long);
+  ET_LOG_AND_RETURN_IF_FALSE(tensor_has_dim(in, dim));
+  if (dim < 0) {
+    dim += nonzero_dim(in);
+  }
+  ET_LOG_MSG_AND_RETURN_IF_FALSE(
+      k >= 0 && k <= nonempty_size(in, dim), "selected index k out of range");
+  return true;
+}
+
+bool get_topk_target_size(
+    const Tensor& in,
+    int64_t k,
+    int64_t dim,
+    Tensor::SizesType* target_size,
+    size_t* target_dim) {
+  *target_dim = in.dim();
+  for (size_t i = 0; i < *target_dim; ++i) {
+    if (i == dim) {
+      target_size[i] = k;
+    } else {
+      target_size[i] = in.size(i);
+    }
+  }
+  return true;
+}
+
+template <typename CTYPE, typename elem_t = std::pair<CTYPE, int64_t>>
+void perform_topk(
+    const Tensor& in,
+    int64_t k,
+    int64_t dim,
+    bool largest,
+    bool sorted,
+    Tensor& values,
+    Tensor& indices,
+    elem_t* queue) {
+  const CTYPE* const in_data = in.const_data_ptr<CTYPE>();
+  CTYPE* values_data = values.mutable_data_ptr<CTYPE>();
+  long* indices_data = indices.mutable_data_ptr<long>();
+
+  if (in.dim() == 0) {
+    values_data[0] = in_data[0];
+    indices_data[0] = 0;
+    return;
+  }
+
+  if (k == 0) {
+    return;
+  }
+
+  const size_t outer_size = getLeadingDims(in, dim);
+
+  const size_t dim_size = in.size(dim);
+  const size_t dim_stride = in.strides()[dim];
+
+  const size_t outer_stride_in = dim_size * dim_stride;
+  const size_t outer_stride_out = k * dim_stride;
+
+  bool use_partial_sort = k * 64 <= dim_size;
+
+  // Loop through all outer dimensions
+  for (size_t outer_idx = 0; outer_idx < outer_size; ++outer_idx) {
+    size_t outer_in = outer_idx * outer_stride_in;
+    size_t outer_out = outer_idx * outer_stride_out;
+    // Loop through all inner dimensions
+    for (size_t inner_idx = 0; inner_idx < dim_stride; ++inner_idx) {
+      size_t base_in = outer_in + inner_idx;
+      size_t base_out = outer_out + inner_idx;
+
+      // Populate the queue with the values from the input tensor
+      for (size_t i = 0; i < dim_size; ++i) {
+        size_t in_ix = base_in + i * dim_stride;
+        queue[i].first = in_data[in_ix];
+        queue[i].second = i;
+      }
+
+      // Perform topk on the queue
+      if (use_partial_sort) {
+        if (largest) {
+          std::partial_sort(
+              queue,
+              queue + k,
+              queue + dim_size,
+              [](const elem_t& x, const elem_t& y) -> bool {
+                return (
+                    (std::isnan(x.first) && !std::isnan(y.first)) ||
+                    (x.first > y.first));
+              });
+        } else {
+          std::partial_sort(
+              queue,
+              queue + k,
+              queue + dim_size,
+              [](const elem_t& x, const elem_t& y) -> bool {
+                return (
+                    (!std::isnan(x.first) && std::isnan(y.first)) ||
+                    (x.first < y.first));
+              });
+        }
+      } else {
+        if (largest) {
+          std::nth_element(
+              queue,
+              queue + k - 1,
+              queue + dim_size,
+              [](const elem_t& x, const elem_t& y) -> bool {
+                return (
+                    (std::isnan(x.first) && !std::isnan(y.first)) ||
+                    (x.first > y.first));
+              });
+          if (sorted) {
+            std::sort(
+                queue,
+                queue + k - 1,
+                [](const elem_t& x, const elem_t& y) -> bool {
+                  return (
+                      (std::isnan(x.first) && !std::isnan(y.first)) ||
+                      (x.first > y.first));
+                });
+          }
+        } else {
+          std::nth_element(
+              queue,
+              queue + k - 1,
+              queue + dim_size,
+              [](const elem_t& x, const elem_t& y) -> bool {
+                return (
+                    (!std::isnan(x.first) && std::isnan(y.first)) ||
+                    (x.first < y.first));
+              });
+          if (sorted) {
+            std::sort(
+                queue,
+                queue + k - 1,
+                [](const elem_t& x, const elem_t& y) -> bool {
+                  return (
+                      (!std::isnan(x.first) && std::isnan(y.first)) ||
+                      (x.first < y.first));
+                });
+          }
+        }
+      }
+
+      // Write the topk values and indices to the output tensors
+      for (size_t i = 0; i < k; ++i) {
+        size_t out_ix = base_out + i * dim_stride;
+
+        values_data[out_ix] = queue[i].first;
+        indices_data[out_ix] = queue[i].second;
+      }
+    }
+  }
+}
+
+void* allocate_temp_memory(KernelRuntimeContext& ctx, size_t size) {
+  Result<void*> temp_mem_res = ctx.allocate_temp(size);
+  return temp_mem_res.ok() ? temp_mem_res.get() : nullptr;
+}
+
+} // namespace
+
+std::tuple<Tensor&, Tensor&> topk_values(
+    KernelRuntimeContext& ctx,
+    const Tensor& in,
+    int64_t k,
+    int64_t dim,
+    bool largest,
+    bool sorted,
+    Tensor& values,
+    Tensor& indices) {
+  auto out = std::tuple<Tensor&, Tensor&>({values, indices});
+
+  ET_KERNEL_CHECK(
+      ctx, check_topk_args(in, k, dim, values, indices), InvalidArgument, out);
+
+  if (dim < 0) {
+    dim += nonzero_dim(in);
+  }
+
+  // @lint-ignore CLANGTIDY facebook-hte-CArray
+  Tensor::SizesType target_size[kTensorDimensionLimit];
+  size_t target_dim = 0;
+  get_topk_target_size(in, k, dim, target_size, &target_dim);
+
+  ET_KERNEL_CHECK(
+      ctx,
+      resize_tensor(values, {target_size, target_dim}) == Error::Ok,
+      InvalidArgument,
+      out);
+
+  ET_KERNEL_CHECK(
+      ctx,
+      resize_tensor(indices, {target_size, target_dim}) == Error::Ok,
+      InvalidArgument,
+      out);
+
+  constexpr auto name = "topk.values";
+
+  if (in.numel() == 0 || (k == 0 && in.dim() > 0)) {
+    return out;
+  }
+
+  bool temp_mem_allocated = false;
+
+  ET_SWITCH_REALH_TYPES(in.scalar_type(), ctx, name, CTYPE, [&]() {
+    using elem_t = std::pair<CTYPE, int64_t>;
+    size_t temp_mem_size = nonempty_size(in, dim) * sizeof(elem_t);
+
+    elem_t* queue = (elem_t*)allocate_temp_memory(ctx, temp_mem_size);
+    if (queue == nullptr) {
+      return;
+    }
+    temp_mem_allocated = true;
+
+    perform_topk<CTYPE>(in, k, dim, largest, sorted, values, indices, queue);
+  });
+
+  ET_KERNEL_CHECK(ctx, temp_mem_allocated, MemoryAllocationFailed, out);
+
+  return out;
+}
+
+} // namespace native
+} // namespace executor
+} // namespace torch
diff --git a/kernels/portable/cpu/op_transpose_copy.cpp b/kernels/portable/cpu/op_transpose_copy.cpp
index 79c04646a7..616cec51a6 100644
--- a/kernels/portable/cpu/op_transpose_copy.cpp
+++ b/kernels/portable/cpu/op_transpose_copy.cpp
@@ -25,7 +25,7 @@ using Tensor = exec_aten::Tensor;
  * transpose_copy.int_out(Tensor self, int dim0, int dim1, *, Tensor(a!) out)
  */
 Tensor& transpose_copy_int_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     int64_t dim0,
     int64_t dim1,
@@ -57,6 +57,9 @@ Tensor& transpose_copy_int_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ET_SWITCH_ALL_TYPES(in.scalar_type(), ctx, __func__, CTYPE, [&] {
     transpose_tensors<CTYPE>(in, dim0, dim1, out);
   });
diff --git a/kernels/portable/cpu/op_tril.cpp b/kernels/portable/cpu/op_tril.cpp
index cdf87bea4b..54a9b5bdee 100644
--- a/kernels/portable/cpu/op_tril.cpp
+++ b/kernels/portable/cpu/op_tril.cpp
@@ -57,7 +57,7 @@ void apply_tril(
  */
 template <typename CTYPE>
 void tril_kernel(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& self,
     int64_t diagonal,
     const Tensor& out) {
@@ -131,7 +131,7 @@ void tril_kernel(
  *       main one are also captured.
  */
 Tensor& tril_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& self,
     int64_t diagonal,
     Tensor& out) {
@@ -145,6 +145,11 @@ Tensor& tril_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(self, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(self), InvalidArgument, out);
+
   if (self.numel() == 0) {
     return out;
   }
diff --git a/kernels/portable/cpu/op_trunc.cpp b/kernels/portable/cpu/op_trunc.cpp
index fbd32c670a..a14a2b18e2 100644
--- a/kernels/portable/cpu/op_trunc.cpp
+++ b/kernels/portable/cpu/op_trunc.cpp
@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 namespace native {
 
-Tensor& trunc_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
+Tensor& trunc_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   return internal::unary_ufunc_realh(std::trunc, ctx, in, out);
 }
 
diff --git a/kernels/portable/cpu/op_unbind_copy.cpp b/kernels/portable/cpu/op_unbind_copy.cpp
index da5a73d624..1f4930bacd 100644
--- a/kernels/portable/cpu/op_unbind_copy.cpp
+++ b/kernels/portable/cpu/op_unbind_copy.cpp
@@ -23,7 +23,7 @@ using TensorList = exec_aten::TensorList;
  * unbind_copy.int_out(Tensor input, int dim=0, *, Tensor(a!)[] out) -> ()
  */
 void unbind_copy_int_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& input,
     int64_t dim,
     TensorList out) {
@@ -36,6 +36,13 @@ void unbind_copy_int_out(
   ET_KERNEL_CHECK(
       ctx, check_unbind_copy_args(input, dim, out), InvalidArgument, );
 
+  for (int i = 0; i < out.size(); ++i) {
+    ET_KERNEL_CHECK(
+        ctx, tensors_have_same_dim_order(input, out[i]), InvalidArgument, );
+  }
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(input), InvalidArgument, );
+
   if (input.numel() == 0) {
     return;
   }
diff --git a/kernels/portable/cpu/op_unsqueeze_copy.cpp b/kernels/portable/cpu/op_unsqueeze_copy.cpp
index f6d25a0498..3b74033d9d 100644
--- a/kernels/portable/cpu/op_unsqueeze_copy.cpp
+++ b/kernels/portable/cpu/op_unsqueeze_copy.cpp
@@ -21,7 +21,7 @@ using Tensor = exec_aten::Tensor;
 // unsqueeze_copy.out(Tensor self, int dim, *, Tensor(a!) out) -> Tensor(a!)
 // -> Tensor(a!)
 Tensor& unsqueeze_copy_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& self,
     int64_t dim,
     Tensor& out) {
diff --git a/kernels/portable/cpu/op_var.cpp b/kernels/portable/cpu/op_var.cpp
index 52019e381c..e5499fa064 100644
--- a/kernels/portable/cpu/op_var.cpp
+++ b/kernels/portable/cpu/op_var.cpp
@@ -57,7 +57,7 @@ void compute_variance(
 } // namespace
 
 Tensor& var_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     optional<ArrayRef<int64_t>> dim_list,
     bool unbiased,
@@ -74,6 +74,11 @@ Tensor& var_out(
   ET_KERNEL_CHECK(ctx, tensor_is_floating_type(in), InvalidArgument, out);
   ET_KERNEL_CHECK(ctx, tensor_is_floating_type(out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
+
   ET_KERNEL_CHECK(
       ctx,
       resize_reduction_out(in, dim_list, keepdim, out) == Error::Ok,
@@ -95,7 +100,7 @@ Tensor& var_out(
 }
 
 Tensor& var_correction_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     optional<ArrayRef<int64_t>> dim_list,
     const optional<Scalar>& correction,
diff --git a/kernels/portable/cpu/op_view_copy.cpp b/kernels/portable/cpu/op_view_copy.cpp
index f7174caac1..323786197f 100644
--- a/kernels/portable/cpu/op_view_copy.cpp
+++ b/kernels/portable/cpu/op_view_copy.cpp
@@ -20,7 +20,7 @@ using Tensor = exec_aten::Tensor;
 
 // view_copy.out(Tensor self, int[] size, *, Tensor(a!) out) -> Tensor(a!)
 Tensor& view_copy_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& self,
     exec_aten::ArrayRef<int64_t> size_int64_t,
     Tensor& out) {
@@ -44,6 +44,11 @@ Tensor& view_copy_out(
       out,
       "Failed to resize output tensor.");
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(self, out), InvalidArgument, out);
+
+  ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(self), InvalidArgument, out);
+
   ET_KERNEL_CHECK(
       ctx, check_view_copy_args(self, size_int64_t, out), InvalidArgument, out);
 
diff --git a/kernels/portable/cpu/op_where.cpp b/kernels/portable/cpu/op_where.cpp
index bf42447582..a773624759 100644
--- a/kernels/portable/cpu/op_where.cpp
+++ b/kernels/portable/cpu/op_where.cpp
@@ -15,7 +15,7 @@ namespace executor {
 namespace native {
 
 Tensor& where_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& cond,
     const Tensor& a,
     const Tensor& b,
@@ -35,14 +35,17 @@ Tensor& where_out(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(cond, a, b, out), InvalidArgument, out);
+
   constexpr auto name = "where.self_out";
 
   ET_CHECK_MSG(
       cond_type == ScalarType::Bool || cond_type == ScalarType::Byte,
       "Unhandled dtype %s for where.self_out",
       torch::executor::toString(cond_type));
-  ET_SWITCH_REALHB_TYPES(a_type, ctx, name, CTYPE_A, [&]() {
-    ET_SWITCH_REALHB_TYPES(b_type, ctx, name, CTYPE_B, [&]() {
+  ET_SWITCH_REALHBBF16_TYPES(a_type, ctx, name, CTYPE_A, [&]() {
+    ET_SWITCH_REALHBBF16_TYPES(b_type, ctx, name, CTYPE_B, [&]() {
       using CTYPE_OUT =
           typename torch::executor::promote_types<CTYPE_A, CTYPE_B>::type;
       apply_ternary_elementwise_fn<CTYPE_A, CTYPE_B, uint8_t, CTYPE_OUT>(
diff --git a/kernels/portable/cpu/op_zeros.cpp b/kernels/portable/cpu/op_zeros.cpp
index 4157046f68..fcb1e0a798 100644
--- a/kernels/portable/cpu/op_zeros.cpp
+++ b/kernels/portable/cpu/op_zeros.cpp
@@ -38,7 +38,7 @@ bool check_sizes(
  *
  * zeros.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
  */
-Tensor& zeros_out(RuntimeContext& ctx, IntArrayRef size, Tensor& out) {
+Tensor& zeros_out(KernelRuntimeContext& ctx, IntArrayRef size, Tensor& out) {
   (void)ctx;
 
   // Resize for dynamic shape
diff --git a/kernels/portable/cpu/pattern/binary_ufunc_realb_realb_to_realb_logical.cpp b/kernels/portable/cpu/pattern/binary_ufunc_realb_realb_to_realb_logical.cpp
index 22d30b39a4..0c454cae79 100644
--- a/kernels/portable/cpu/pattern/binary_ufunc_realb_realb_to_realb_logical.cpp
+++ b/kernels/portable/cpu/pattern/binary_ufunc_realb_realb_to_realb_logical.cpp
@@ -17,7 +17,7 @@ namespace internal {
 
 Tensor& binary_ufunc_realb_realb_to_realb_logical(
     bool (*fn)(bool, bool),
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out) {
@@ -27,6 +27,9 @@ Tensor& binary_ufunc_realb_realb_to_realb_logical(
       InvalidArgument,
       out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(a, b, out), InvalidArgument, out);
+
   ScalarType a_type = a.scalar_type();
   ScalarType b_type = b.scalar_type();
   ScalarType out_type = out.scalar_type();
diff --git a/kernels/portable/cpu/pattern/pattern.h b/kernels/portable/cpu/pattern/pattern.h
index c6fab62de3..db3c0c59b3 100644
--- a/kernels/portable/cpu/pattern/pattern.h
+++ b/kernels/portable/cpu/pattern/pattern.h
@@ -61,7 +61,7 @@ namespace internal {
  */
 Tensor& unary_ufunc_realh(
     double (*fn)(double),
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     Tensor& out);
 
@@ -73,7 +73,7 @@ Tensor& unary_ufunc_realh(
  */
 Tensor& unary_ufunc_realhb_to_bool(
     bool (*fn)(double),
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     Tensor& out);
 
@@ -85,7 +85,7 @@ Tensor& unary_ufunc_realhb_to_bool(
  */
 Tensor& unary_ufunc_realhb_to_floath(
     double (*fn)(double),
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     Tensor& out);
 
@@ -97,7 +97,7 @@ Tensor& unary_ufunc_realhb_to_floath(
  */
 Tensor& binary_ufunc_realb_realb_to_realb_logical(
     bool (*fn)(bool, bool),
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& a,
     const Tensor& b,
     Tensor& out);
diff --git a/kernels/portable/cpu/pattern/unary_ufunc_realh.cpp b/kernels/portable/cpu/pattern/unary_ufunc_realh.cpp
index cb29ac4259..16d847ace3 100644
--- a/kernels/portable/cpu/pattern/unary_ufunc_realh.cpp
+++ b/kernels/portable/cpu/pattern/unary_ufunc_realh.cpp
@@ -17,7 +17,7 @@ namespace internal {
 
 Tensor& unary_ufunc_realh(
     double (*fn)(double),
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     Tensor& out) {
   (void)ctx;
@@ -33,6 +33,9 @@ Tensor& unary_ufunc_realh(
   ET_KERNEL_CHECK(
       ctx, tensors_have_same_shape_and_dtype(in, out), InvalidArgument, out);
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   ET_SWITCH_REALH_TYPES(in.scalar_type(), ctx, __func__, CTYPE, [&] {
     apply_unary_map_fn(
         [fn](const CTYPE val_in) { return static_cast<CTYPE>(fn(val_in)); },
diff --git a/kernels/portable/cpu/pattern/unary_ufunc_realhb_to_bool.cpp b/kernels/portable/cpu/pattern/unary_ufunc_realhb_to_bool.cpp
index bf5e84710e..76bef5fe02 100644
--- a/kernels/portable/cpu/pattern/unary_ufunc_realhb_to_bool.cpp
+++ b/kernels/portable/cpu/pattern/unary_ufunc_realhb_to_bool.cpp
@@ -17,7 +17,7 @@ namespace internal {
 
 Tensor& unary_ufunc_realhb_to_bool(
     bool (*fn)(double),
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     Tensor& out) {
   (void)ctx;
@@ -38,6 +38,9 @@ Tensor& unary_ufunc_realhb_to_bool(
       "Expected out tensor to have dtype Bool, but got %" PRId8 " instead.",
       static_cast<int8_t>(out.scalar_type()));
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   const auto in_type = in.scalar_type();
 
   ET_SWITCH_REALHB_TYPES(in_type, ctx, __func__, CTYPE_IN, [&] {
diff --git a/kernels/portable/cpu/pattern/unary_ufunc_realhb_to_floath.cpp b/kernels/portable/cpu/pattern/unary_ufunc_realhb_to_floath.cpp
index 47d442d8bd..31ec04dfed 100644
--- a/kernels/portable/cpu/pattern/unary_ufunc_realhb_to_floath.cpp
+++ b/kernels/portable/cpu/pattern/unary_ufunc_realhb_to_floath.cpp
@@ -17,7 +17,7 @@ namespace internal {
 
 Tensor& unary_ufunc_realhb_to_floath(
     double (*fn)(double),
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     Tensor& out) {
   (void)ctx;
@@ -32,6 +32,9 @@ Tensor& unary_ufunc_realhb_to_floath(
       out,
       "Failed to resize output tensor.");
 
+  ET_KERNEL_CHECK(
+      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
+
   const auto in_type = in.scalar_type();
   const auto out_type = out.scalar_type();
 
diff --git a/kernels/portable/cpu/scalar_utils.h b/kernels/portable/cpu/scalar_utils.h
index 3daf3e7252..3d6dfb75e4 100644
--- a/kernels/portable/cpu/scalar_utils.h
+++ b/kernels/portable/cpu/scalar_utils.h
@@ -94,12 +94,6 @@ struct promote_type_with_scalar_type {
   static_assert(
       !is_bits_type<T1>::value,
       "promote_type_with_scalar_type not valid for bits dtypes");
-  static_assert(
-      !std::is_same<
-          T1,
-          typename ScalarTypeToCppType<exec_aten::ScalarType::BFloat16>::type>::
-          value,
-      "promote_type_with_scalar_type not valid for BFloat16");
   using promote_type_with_scalar_type_not_respecting_half_to_float =
       typename std::conditional<
           is_complex_type<T1>::value ||
@@ -119,10 +113,14 @@ struct promote_type_with_scalar_type {
  public:
   using type = typename std::conditional<
       half_to_float &&
-          std::is_same<
-              promote_type_with_scalar_type_not_respecting_half_to_float,
-              typename ScalarTypeToCppType<exec_aten::ScalarType::Half>::type>::
-              value,
+          (std::is_same<
+               promote_type_with_scalar_type_not_respecting_half_to_float,
+               typename ScalarTypeToCppType<
+                   exec_aten::ScalarType::Half>::type>::value ||
+           std::is_same<
+               promote_type_with_scalar_type_not_respecting_half_to_float,
+               typename ScalarTypeToCppType<
+                   exec_aten::ScalarType::BFloat16>::type>::value),
       typename ScalarTypeToCppType<exec_aten::ScalarType::Float>::type,
       promote_type_with_scalar_type_not_respecting_half_to_float>::type;
 };
diff --git a/kernels/portable/cpu/test/scalar_utils_test.cpp b/kernels/portable/cpu/test/scalar_utils_test.cpp
index 82539f02a0..1983f707da 100644
--- a/kernels/portable/cpu/test/scalar_utils_test.cpp
+++ b/kernels/portable/cpu/test/scalar_utils_test.cpp
@@ -16,7 +16,7 @@ struct promote_type_with_scalar_type_is_valid
           (std::is_same<T2, torch::executor::internal::B1>::value ||
            std::is_same<T2, torch::executor::internal::I8>::value ||
            std::is_same<T2, torch::executor::internal::F8>::value) &&
-              !std::is_same<T1, torch::executor::BFloat16>::value &&
+              !std::is_same<T1, exec_aten::BFloat16>::value &&
               !torch::executor::is_qint_type<T1>::value &&
               !torch::executor::is_bits_type<T1>::value> {};
 
diff --git a/kernels/portable/cpu/util/broadcast_util.cpp b/kernels/portable/cpu/util/broadcast_util.cpp
index 1cd7be6ba6..943219490b 100644
--- a/kernels/portable/cpu/util/broadcast_util.cpp
+++ b/kernels/portable/cpu/util/broadcast_util.cpp
@@ -207,7 +207,7 @@ Tensor broadcast_tensor(
   return out;
 }
 
-__ET_NODISCARD Error get_broadcast_target_size(
+ET_NODISCARD Error get_broadcast_target_size(
     const exec_aten::ArrayRef<Tensor::SizesType> a_size,
     const exec_aten::ArrayRef<Tensor::SizesType> b_size,
     Tensor::SizesType* out_sizes,
@@ -248,7 +248,7 @@ __ET_NODISCARD Error get_broadcast_target_size(
   return Error::Ok;
 }
 
-__ET_NODISCARD Error get_broadcast_target_size(
+ET_NODISCARD Error get_broadcast_target_size(
     const Tensor& a,
     const Tensor& b,
     Tensor::SizesType* out_sizes,
diff --git a/kernels/portable/cpu/util/broadcast_util.h b/kernels/portable/cpu/util/broadcast_util.h
index 77f42c266a..92d35f322f 100644
--- a/kernels/portable/cpu/util/broadcast_util.h
+++ b/kernels/portable/cpu/util/broadcast_util.h
@@ -77,7 +77,7 @@ bool tensors_are_broadcastable_between(const Tensor& a, const Tensor& b);
  * repeated as appropriate. This tensor contains dynamically allocated memory
  * and must be freed using free_broadcast_tensor.
  */
-__ET_DEPRECATED exec_aten::Tensor broadcast_tensor(
+ET_DEPRECATED exec_aten::Tensor broadcast_tensor(
     const exec_aten::Tensor& broadcast_from,
     const exec_aten::Tensor& broadcast_to);
 
@@ -97,7 +97,7 @@ __ET_DEPRECATED exec_aten::Tensor broadcast_tensor(
  * @param[out] out_dim The dimension of the broadcasted target
  * tensor
  */
-__ET_NODISCARD Error get_broadcast_target_size(
+ET_NODISCARD Error get_broadcast_target_size(
     const exec_aten::ArrayRef<Tensor::SizesType> a_size,
     const exec_aten::ArrayRef<Tensor::SizesType> b_size,
     Tensor::SizesType* out_sizes,
@@ -115,7 +115,7 @@ __ET_NODISCARD Error get_broadcast_target_size(
  * @param[out] out_dim The dimension of the broadcasted target
  * tensor
  */
-__ET_NODISCARD Error get_broadcast_target_size(
+ET_NODISCARD Error get_broadcast_target_size(
     const Tensor& a,
     const Tensor& b,
     Tensor::SizesType* out_sizes,
@@ -130,7 +130,7 @@ __ET_NODISCARD Error get_broadcast_target_size(
  * @param[in] b The second tensor going to be broadcasted.
  * @param[out] out The output tensor that will be resized.
  */
-__ET_NODISCARD inline Error
+ET_NODISCARD inline Error
 resize_to_broadcast_target_size(const Tensor& a, const Tensor& b, Tensor& out) {
   Tensor::SizesType expected_output_size[kTensorDimensionLimit];
   size_t expected_output_dim = 0;
@@ -156,7 +156,7 @@ resize_to_broadcast_target_size(const Tensor& a, const Tensor& b, Tensor& out) {
  * @param[in] c The third tensor going to be broadcasted.
  * @param[out] out The output tensor that will be resized.
  */
-__ET_NODISCARD inline Error resize_to_broadcast_target_size(
+ET_NODISCARD inline Error resize_to_broadcast_target_size(
     const Tensor& a,
     const Tensor& b,
     const Tensor& c,
@@ -202,7 +202,7 @@ __ET_NODISCARD inline Error resize_to_broadcast_target_size(
  * broadcast_tensor.
  * @returns void
  */
-__ET_DEPRECATED void free_broadcast_tensor(
+ET_DEPRECATED void free_broadcast_tensor(
     const exec_aten::Tensor& broadcast_tensor);
 
 /**
diff --git a/kernels/portable/cpu/util/copy_ops_util.cpp b/kernels/portable/cpu/util/copy_ops_util.cpp
index 314e38c2b5..a46ccbf241 100644
--- a/kernels/portable/cpu/util/copy_ops_util.cpp
+++ b/kernels/portable/cpu/util/copy_ops_util.cpp
@@ -95,6 +95,8 @@ bool check_cat_args(
     ET_LOG_AND_RETURN_IF_FALSE(
         canCast(tensors[i].scalar_type(), out.scalar_type()));
 
+    ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_dim_order(tensors[i], out));
+
     // Empty tensors have no shape constraints.
     if (tensors[i].numel() == 0) {
       continue;
@@ -325,6 +327,19 @@ bool check_pixel_shuffle_args(
   return true;
 }
 
+bool check_pixel_unshuffle_args(
+    const Tensor& in,
+    int64_t downscale_factor,
+    Tensor& out) {
+  ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_dtype(in, out));
+  ET_LOG_AND_RETURN_IF_FALSE(tensor_has_rank_greater_or_equal_to(in, 3));
+  ET_LOG_AND_RETURN_IF_FALSE(tensor_has_rank_greater_or_equal_to(out, 3));
+  ET_LOG_AND_RETURN_IF_FALSE(downscale_factor > 0);
+  ET_LOG_AND_RETURN_IF_FALSE(in.size(in.dim() - 1) % downscale_factor == 0);
+  ET_LOG_AND_RETURN_IF_FALSE(in.size(in.dim() - 2) % downscale_factor == 0);
+  return true;
+}
+
 void get_pixel_shuffle_out_target_size(
     const Tensor& in,
     int64_t upscale_factor,
@@ -347,6 +362,29 @@ void get_pixel_shuffle_out_target_size(
   out_sizes[i] = in.size(i) * casted_upscale_factor;
 }
 
+void get_pixel_unshuffle_out_target_size(
+    const Tensor& in,
+    int64_t downscale_factor,
+    exec_aten::SizesType* out_sizes,
+    size_t* out_ndim) {
+  *out_ndim = in.dim();
+  const exec_aten::SizesType casted_factor = downscale_factor;
+
+  size_t i = 0;
+  for (; i < in.dim() - 3; ++i) {
+    // Copy all leading dimensions in.
+    out_sizes[i] = in.size(i);
+  }
+  // The last 3 dimensions are (channel, height, width). Multiply channel by
+  // the downscale factor squared and divide the height and width by that
+  // factor.
+  out_sizes[i] = in.size(i) * (casted_factor * casted_factor);
+  i++;
+  out_sizes[i] = in.size(i) / casted_factor;
+  i++;
+  out_sizes[i] = in.size(i) / casted_factor;
+}
+
 bool check_select_copy_out_args(
     const Tensor& in,
     int64_t dim,
@@ -375,33 +413,6 @@ void get_select_copy_out_target_size(
   }
 }
 
-bool check_slice_copy_args(
-    const Tensor& in,
-    int64_t dim,
-    int64_t step,
-    Tensor& out) {
-  ET_LOG_AND_RETURN_IF_FALSE(in.dim() > 0);
-  ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_dtype(in, out));
-  ET_LOG_AND_RETURN_IF_FALSE(tensor_has_dim(in, dim));
-  ET_LOG_MSG_AND_RETURN_IF_FALSE(
-      step > 0, "slice step must be greater than zero");
-  return true;
-}
-
-void get_slice_copy_out_target_size(
-    const Tensor& in,
-    int64_t dim,
-    int64_t num_values,
-    exec_aten::SizesType* out_sizes,
-    size_t* out_ndim) {
-  *out_ndim = in.dim();
-
-  for (size_t d = 0; d < in.dim(); ++d) {
-    out_sizes[d] = in.size(d);
-  }
-  out_sizes[dim] = num_values;
-}
-
 bool check_split_with_sizes_copy_args(
     const Tensor& in,
     exec_aten::ArrayRef<int64_t> split_sizes,
diff --git a/kernels/portable/cpu/util/copy_ops_util.h b/kernels/portable/cpu/util/copy_ops_util.h
index d5362ae373..91c62e707e 100644
--- a/kernels/portable/cpu/util/copy_ops_util.h
+++ b/kernels/portable/cpu/util/copy_ops_util.h
@@ -113,28 +113,26 @@ void get_pixel_shuffle_out_target_size(
     exec_aten::SizesType* out_sizes,
     size_t* out_ndim);
 
-bool check_select_copy_out_args(
+bool check_pixel_unshuffle_args(
     const Tensor& in,
-    int64_t dim,
-    int64_t index,
+    int64_t upscale_factor,
     Tensor& out);
 
-void get_select_copy_out_target_size(
+void get_pixel_unshuffle_out_target_size(
     const Tensor& in,
-    int64_t dim,
+    int64_t upscale_factor,
     exec_aten::SizesType* out_sizes,
     size_t* out_ndim);
 
-bool check_slice_copy_args(
+bool check_select_copy_out_args(
     const Tensor& in,
     int64_t dim,
-    int64_t step,
+    int64_t index,
     Tensor& out);
 
-void get_slice_copy_out_target_size(
+void get_select_copy_out_target_size(
     const Tensor& in,
     int64_t dim,
-    int64_t num_values,
     exec_aten::SizesType* out_sizes,
     size_t* out_ndim);
 
diff --git a/kernels/portable/cpu/util/index_util.cpp b/kernels/portable/cpu/util/index_util.cpp
index 109983c812..39c556fa01 100644
--- a/kernels/portable/cpu/util/index_util.cpp
+++ b/kernels/portable/cpu/util/index_util.cpp
@@ -12,6 +12,51 @@
 namespace torch {
 namespace executor {
 
+bool check_gather_args(
+    const Tensor& in,
+    int64_t dim,
+    const Tensor& index,
+    bool sparse_grad,
+    Tensor& out) {
+  ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_dtype(in, out));
+  ET_LOG_AND_RETURN_IF_FALSE(tensor_has_dim(in, dim));
+  ET_LOG_MSG_AND_RETURN_IF_FALSE(
+      index.scalar_type() == ScalarType::Long,
+      "Expected dypte int64 for index");
+  if (index.numel() != 0) {
+    ET_LOG_MSG_AND_RETURN_IF_FALSE(
+        nonzero_dim(in) == nonzero_dim(index),
+        "self and index should have the same dimensionality when index is not empty "
+        "except for the case when one has dimension 0 and the other has dimension 1");
+  }
+
+  // Normalize dim to non-negative value
+  if (dim < 0) {
+    dim += nonzero_dim(in);
+  }
+
+  for (size_t d = 0; d < nonzero_dim(in); ++d) {
+    if (d != dim) {
+      ET_LOG_MSG_AND_RETURN_IF_FALSE(
+          nonempty_size(index, d) <= nonempty_size(in, d),
+          "size of dimension %zd of index should be smaller than the size of that dimension of input if dimension %zd != dim %zd",
+          d,
+          d,
+          (size_t)dim);
+    }
+  }
+  const long* index_data = index.const_data_ptr<long>();
+  for (size_t i = 0; i < index.numel(); ++i) {
+    ET_LOG_MSG_AND_RETURN_IF_FALSE(
+        index_data[i] >= 0 && index_data[i] < nonempty_size(in, dim),
+        "Index is out of bounds for dimension %zd with size %zd",
+        (size_t)dim,
+        nonempty_size(index, dim));
+  }
+
+  return true;
+}
+
 bool check_index_select_args(
     const Tensor& in,
     int64_t dim,
@@ -78,6 +123,22 @@ void get_index_select_out_target_size(
   }
 }
 
+bool check_nonzero_args(const Tensor& in, const Tensor& out) {
+  (void)in;
+
+  ET_LOG_MSG_AND_RETURN_IF_FALSE(
+      out.scalar_type() == ScalarType::Long,
+      "Expected out to be a Long tensor but received %" PRId8,
+      static_cast<int8_t>(out.scalar_type()));
+
+  ET_LOG_MSG_AND_RETURN_IF_FALSE(
+      out.dim() == 2,
+      "Expected out to be a 2d tensor received %zd",
+      ssize_t(out.dim()));
+
+  return true;
+}
+
 bool check_scatter_add_args(
     const Tensor& self,
     int64_t dim,
@@ -130,38 +191,74 @@ bool check_scatter_add_args(
   return true;
 }
 
-int64_t adjust_slice_indices(
-    int64_t dim_length,
-    int64_t* start,
-    int64_t* end,
-    int64_t step) {
-  int64_t num_values = 0;
-
-  // Update start and end index
-  // First convert it to c++ style from python style if needed.
-  // The start index is using python style E.g., for the shape {2, 3, 4},
-  // dim = -1 would refer to dim[2], dim = -2 would refer to dim[1], and so on.
-  *start = *start < 0 ? *start + dim_length : *start;
-  *end = *end < 0 ? *end + dim_length : *end;
-  // Second, if start or end still negative, which means user want to start or
-  // end slicing from very beginning, so set it to zero
-  *start = *start < 0 ? 0 : *start;
-  *end = *end < 0 ? 0 : *end;
-  // Last, if start or end larger than maximum value (dim_length - 1), indicates
-  // user want to start slicing after end or slicing until the end, so update it
-  // to dim_length
-  *start = *start > dim_length ? dim_length : *start;
-  *end = *end > dim_length ? dim_length : *end;
-
-  if (*start >= dim_length || *end <= 0 || *start >= *end) {
-    // Set num_values to 0 if interval [start, end) is non-exist or do not
-    // overlap with [0, dim_length)
-    num_values = 0;
-  } else {
-    // Update num_values to min(max_num_values, num_values)
-    num_values = (*end - 1 - *start) / step + 1;
+bool check_scatter_src_args(
+    const Tensor& self,
+    int64_t dim,
+    const Tensor& index,
+    const Tensor& src,
+    Tensor& out) {
+  return check_scatter_add_args(self, dim, index, src, out);
+}
+
+bool check_scatter_value_args(
+    const Tensor& self,
+    int64_t dim,
+    const Tensor& index,
+    const Scalar& value,
+    Tensor& out) {
+  return check_gather_args(self, dim, index, false, out);
+}
+
+bool check_select_scatter_args(
+    const Tensor& in,
+    const Tensor& src,
+    int64_t dim,
+    int64_t index,
+    Tensor& output) {
+  /**
+   * Assumptions for inputs:
+   * 1. output size is the same as input size
+   * 2. src size is the same as the selected slice from the input
+   * 3. dim and index values are valid given the input tensor
+   */
+
+  ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_dtype(in, output));
+
+  // The dim planed to be selected on shall exist in input
+  ET_LOG_AND_RETURN_IF_FALSE(dim_is_valid(dim, in.dim()));
+
+  // The index shall be valid in the given dimenson
+  ET_LOG_MSG_AND_RETURN_IF_FALSE(
+      index >= 0 && index < in.size(dim),
+      "index %" PRId64 " out of range [-%zd,%zd) at in.size( %" PRId64 ")",
+      index,
+      in.size(dim),
+      in.size(dim),
+      dim);
+
+  // The src.dim() shall be one lower than in.dim() since src needs to fit
+  // into the selected data on one dim of input
+  // https://pytorch.org/docs/stable/generated/torch.select_scatter.html
+  ET_LOG_MSG_AND_RETURN_IF_FALSE(
+      in.dim() == src.dim() + 1,
+      "in.dim() %zd != src.dim() + 1 %zd",
+      in.dim(),
+      src.dim() + 1);
+
+  // The size of src tensor should follow these rules:
+  // - src.size(i) shall equal to in.size(i) if i < dim,
+  // - src.size(i) shall equal to in.size(i+1) if i >= dim
+
+  for (ssize_t d = 0; d < in.dim() - 1; d++) {
+    if (d < dim) {
+      ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_size_at_dims(in, d, src, d));
+    } else {
+      ET_LOG_AND_RETURN_IF_FALSE(
+          tensors_have_same_size_at_dims(in, d + 1, src, d));
+    }
   }
-  return num_values;
+
+  return true;
 }
 
 } // namespace executor
diff --git a/kernels/portable/cpu/util/index_util.h b/kernels/portable/cpu/util/index_util.h
index 9677ac90bc..0ee430c972 100644
--- a/kernels/portable/cpu/util/index_util.h
+++ b/kernels/portable/cpu/util/index_util.h
@@ -14,6 +14,13 @@
 namespace torch {
 namespace executor {
 
+bool check_gather_args(
+    const Tensor& in,
+    int64_t dim,
+    const Tensor& index,
+    bool sparse_grad,
+    Tensor& output);
+
 bool check_index_select_args(
     const Tensor& in,
     int64_t dim,
@@ -27,6 +34,8 @@ void get_index_select_out_target_size(
     exec_aten::SizesType* out_sizes,
     size_t* out_ndim);
 
+bool check_nonzero_args(const Tensor& in, const Tensor& out);
+
 bool check_scatter_add_args(
     const Tensor& self,
     int64_t dim,
@@ -34,21 +43,19 @@ bool check_scatter_add_args(
     const Tensor& src,
     Tensor& out);
 
-bool check_nonzero_args(const Tensor& in, const Tensor& out);
-
-bool check_slice_scatter_args(
-    const Tensor& input,
+bool check_scatter_src_args(
+    const Tensor& self,
+    int64_t dim,
+    const Tensor& index,
     const Tensor& src,
+    Tensor& out);
+
+bool check_scatter_value_args(
+    const Tensor& self,
     int64_t dim,
-    int64_t num_values,
-    int64_t step,
-    Tensor output);
-
-int64_t adjust_slice_indices(
-    int64_t dim_length,
-    int64_t* start,
-    int64_t* end,
-    int64_t step);
+    const Tensor& index,
+    const Scalar& value,
+    Tensor& out);
 
 bool check_select_scatter_args(
     const Tensor& in,
diff --git a/kernels/portable/cpu/util/kernel_ops_util.cpp b/kernels/portable/cpu/util/kernel_ops_util.cpp
index d34b41ab79..649526c94b 100644
--- a/kernels/portable/cpu/util/kernel_ops_util.cpp
+++ b/kernels/portable/cpu/util/kernel_ops_util.cpp
@@ -326,7 +326,7 @@ bool check_convolution_args(
     bool transposed,
     IntArrayRef output_padding,
     int64_t groups,
-    Tensor& out) {
+    const Tensor& out) {
   ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_dtype(in, weight, out));
 
   ET_LOG_AND_RETURN_IF_FALSE(tensor_is_default_or_channels_last_dim_order(in));
@@ -519,117 +519,6 @@ void get_max_pool2d_with_indices_out_target_size(
       in, 2, kernel_size, stride, padding, dilation, out_sizes, ceil_mode);
 }
 
-bool check_slice_scatter_args(
-    const Tensor& input,
-    const Tensor& src,
-    int64_t dim,
-    int64_t num_values,
-    int64_t step,
-    Tensor output) {
-  ET_LOG_AND_RETURN_IF_FALSE(input.dim() > 0);
-
-  // Check dim. The dim planed to be selected on shall exist in input
-  ET_LOG_AND_RETURN_IF_FALSE(dim_is_valid(dim, input.dim()));
-
-  // Input and output tensors should be the same shape and dtype
-  ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_shape_and_dtype(input, output));
-
-  // The input.dim() shall equal to src.dim()
-  ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_rank(input, src));
-
-  // Check step. Step must be greater than zero
-  ET_LOG_MSG_AND_RETURN_IF_FALSE(
-      step > 0, "slice step must be greater than zero");
-
-  // The size of src tensor should follow these rules:
-  // - src.size(i) shall equal to input.size(i) if i != dim,
-  // - src.size(dim) shall equal to num_values
-  for (size_t d = 0; d < input.dim() - 1; d++) {
-    if (d != dim) {
-      ET_LOG_AND_RETURN_IF_FALSE(
-          tensors_have_same_size_at_dims(input, d, src, d));
-    } else {
-      ET_LOG_MSG_AND_RETURN_IF_FALSE(
-          src.size(d) == num_values,
-          "input.size(%zu) %zd != num_values %" PRId64 " | dim = %" PRId64 ")",
-          d,
-          input.size(d),
-          num_values,
-          dim);
-    }
-  }
-
-  return true;
-}
-
-bool check_select_scatter_args(
-    const Tensor& in,
-    const Tensor& src,
-    int64_t dim,
-    int64_t index,
-    Tensor& output) {
-  /**
-   * Assumptions for inputs:
-   * 1. output size is the same as input size
-   * 2. src size is the same as the selected slice from the input
-   * 3. dim and index values are valid given the input tensor
-   */
-
-  ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_dtype(in, output));
-
-  // The dim planed to be selected on shall exist in input
-  ET_LOG_AND_RETURN_IF_FALSE(dim_is_valid(dim, in.dim()));
-
-  // The index shall be valid in the given dimenson
-  ET_LOG_MSG_AND_RETURN_IF_FALSE(
-      index >= 0 && index < in.size(dim),
-      "index %" PRId64 " out of range [-%zd,%zd) at in.size( %" PRId64 ")",
-      index,
-      in.size(dim),
-      in.size(dim),
-      dim);
-
-  // The src.dim() shall be one lower than in.dim() since src needs to fit
-  // into the selected data on one dim of input
-  // https://pytorch.org/docs/stable/generated/torch.select_scatter.html
-  ET_LOG_MSG_AND_RETURN_IF_FALSE(
-      in.dim() == src.dim() + 1,
-      "in.dim() %zd != src.dim() + 1 %zd",
-      in.dim(),
-      src.dim() + 1);
-
-  // The size of src tensor should follow these rules:
-  // - src.size(i) shall equal to in.size(i) if i < dim,
-  // - src.size(i) shall equal to in.size(i+1) if i >= dim
-
-  for (ssize_t d = 0; d < in.dim() - 1; d++) {
-    if (d < dim) {
-      ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_size_at_dims(in, d, src, d));
-    } else {
-      ET_LOG_AND_RETURN_IF_FALSE(
-          tensors_have_same_size_at_dims(in, d + 1, src, d));
-    }
-  }
-
-  return true;
-}
-
-bool check_nonzero_args(const Tensor& in, const Tensor& out) {
-  (void)in;
-
-  ET_LOG_MSG_AND_RETURN_IF_FALSE(
-      out.scalar_type() == ScalarType::Long,
-      "Expected out to be a Long tensor but received %" PRId8,
-      static_cast<int8_t>(out.scalar_type()));
-
-  ET_LOG_MSG_AND_RETURN_IF_FALSE(
-      out.dim() == 2,
-      "Expected out to be a 2d tensor received %zd",
-      ssize_t(out.dim()));
-
-  return true;
-}
-
 bool check_masked_fill_args(
     const Tensor& in,
     const Tensor& mask,
diff --git a/kernels/portable/cpu/util/kernel_ops_util.h b/kernels/portable/cpu/util/kernel_ops_util.h
index c18269490b..6b06e231f5 100644
--- a/kernels/portable/cpu/util/kernel_ops_util.h
+++ b/kernels/portable/cpu/util/kernel_ops_util.h
@@ -411,7 +411,7 @@ bool check_convolution_args(
     bool transposed,
     IntArrayRef output_padding,
     int64_t groups,
-    Tensor& out);
+    const Tensor& out);
 
 void get_convolution_out_target_size(
     const Tensor& in,
@@ -451,29 +451,6 @@ void get_max_pool2d_with_indices_out_target_size(
     exec_aten::SizesType* out_sizes,
     size_t* out_ndim);
 
-bool check_nonzero_args(const Tensor& in, const Tensor& out);
-
-bool check_slice_scatter_args(
-    const Tensor& input,
-    const Tensor& src,
-    int64_t dim,
-    int64_t num_values,
-    int64_t step,
-    Tensor output);
-
-int64_t adjust_slice_indices(
-    int64_t dim_length,
-    int64_t* start,
-    int64_t* end,
-    int64_t step);
-
-bool check_select_scatter_args(
-    const Tensor& in,
-    const Tensor& src,
-    int64_t dim,
-    int64_t index,
-    Tensor& output);
-
 bool check_masked_fill_args(
     const Tensor& in,
     const Tensor& mask,
diff --git a/kernels/portable/cpu/util/math_util.h b/kernels/portable/cpu/util/math_util.h
index df17514706..05935fff38 100644
--- a/kernels/portable/cpu/util/math_util.h
+++ b/kernels/portable/cpu/util/math_util.h
@@ -96,9 +96,8 @@ INT_T max_override(INT_T a, INT_T b) {
 
 template <
     typename T,
-    typename std::enable_if<
-        std::is_same<T, torch::executor::Half>::value,
-        bool>::type = true>
+    typename std::enable_if<std::is_same<T, exec_aten::Half>::value, bool>::
+        type = true>
 T min_override(T a, T b) {
   const auto float_a = static_cast<float>(a);
   if (std::isnan(float_a)) {
@@ -117,9 +116,8 @@ T min_override(T a, T b) {
 
 template <
     typename T,
-    typename std::enable_if<
-        std::is_same<T, torch::executor::Half>::value,
-        bool>::type = true>
+    typename std::enable_if<std::is_same<T, exec_aten::Half>::value, bool>::
+        type = true>
 T max_override(T a, T b) {
   const auto float_a = static_cast<float>(a);
   if (std::isnan(float_a)) {
diff --git a/kernels/portable/cpu/util/matmul_ops_util.cpp b/kernels/portable/cpu/util/matmul_ops_util.cpp
index d7e49d6495..3d4f2e5e9b 100644
--- a/kernels/portable/cpu/util/matmul_ops_util.cpp
+++ b/kernels/portable/cpu/util/matmul_ops_util.cpp
@@ -71,6 +71,19 @@ bool check_mm_args(const Tensor& in, const Tensor& mat2, Tensor& out) {
   return true;
 }
 
+bool check_linear_args(const Tensor& in, const Tensor& mat2, Tensor& out) {
+  ET_LOG_AND_RETURN_IF_FALSE(in.dim() == out.dim());
+  ET_LOG_AND_RETURN_IF_FALSE(in.dim() >= 2);
+  ET_LOG_AND_RETURN_IF_FALSE(tensor_is_rank(mat2, 2));
+
+  ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_dtype(in, mat2, out));
+
+  ET_LOG_AND_RETURN_IF_FALSE(
+      tensors_have_same_size_at_dims(in, in.dim() - 1, mat2, 1));
+
+  return true;
+}
+
 void get_mm_out_target_size(
     const Tensor& mat1,
     const Tensor& mat2,
@@ -81,5 +94,17 @@ void get_mm_out_target_size(
   out_sizes[1] = mat2.size(1);
 }
 
+void get_linear_out_target_size(
+    const Tensor& mat1,
+    const Tensor& mat2,
+    Tensor::SizesType* out_sizes,
+    size_t* out_ndim) {
+  *out_ndim = mat1.dim();
+  for (int ii = 0; ii < mat1.dim() - 1; ++ii) {
+    out_sizes[ii] = mat1.sizes()[ii];
+  }
+  out_sizes[mat1.dim() - 1] = mat2.size(0);
+}
+
 } // namespace executor
 } // namespace torch
diff --git a/kernels/portable/cpu/util/matmul_ops_util.h b/kernels/portable/cpu/util/matmul_ops_util.h
index 91e27ff2cc..d2991868e9 100644
--- a/kernels/portable/cpu/util/matmul_ops_util.h
+++ b/kernels/portable/cpu/util/matmul_ops_util.h
@@ -37,5 +37,13 @@ void get_mm_out_target_size(
     Tensor::SizesType* out_sizes,
     size_t* out_ndim);
 
+bool check_linear_args(const Tensor& in, const Tensor& mat2, Tensor& out);
+
+void get_linear_out_target_size(
+    const Tensor& mat1,
+    const Tensor& mat2,
+    Tensor::SizesType* out_sizes,
+    size_t* out_ndim);
+
 } // namespace executor
 } // namespace torch
diff --git a/kernels/portable/cpu/util/reduce_util.cpp b/kernels/portable/cpu/util/reduce_util.cpp
index 38f259db89..08237e07b9 100644
--- a/kernels/portable/cpu/util/reduce_util.cpp
+++ b/kernels/portable/cpu/util/reduce_util.cpp
@@ -32,7 +32,7 @@ inline size_t _normalize_non_neg_d(ssize_t d, ssize_t in_dim) {
   return d;
 }
 
-__ET_NODISCARD bool check_dim_list_is_valid(
+ET_NODISCARD bool check_dim_list_is_valid(
     const exec_aten::Tensor& in,
     const exec_aten::optional<exec_aten::ArrayRef<int64_t>>& dim_list) {
   if (dim_list.has_value() && dim_list.value().size() != 0) {
diff --git a/kernels/portable/cpu/util/reduce_util.h b/kernels/portable/cpu/util/reduce_util.h
index 31d1171cfb..a41c580c98 100644
--- a/kernels/portable/cpu/util/reduce_util.h
+++ b/kernels/portable/cpu/util/reduce_util.h
@@ -144,7 +144,7 @@ void apply_on_flat_ix_with_dim_mask_and_base(
 // Helper Functions
 //
 
-__ET_NODISCARD bool check_dim_list_is_valid(
+ET_NODISCARD bool check_dim_list_is_valid(
     const exec_aten::Tensor& in,
     const exec_aten::optional<exec_aten::ArrayRef<int64_t>>& dim_list);
 
diff --git a/kernels/portable/cpu/util/select_copy_util.cpp b/kernels/portable/cpu/util/select_copy_util.cpp
index cf56b3e4ca..2564317b04 100644
--- a/kernels/portable/cpu/util/select_copy_util.cpp
+++ b/kernels/portable/cpu/util/select_copy_util.cpp
@@ -38,6 +38,10 @@ Error select_copy_util(
     return Error::InvalidArgument;
   }
 
+  if (!tensors_have_same_dim_order(in, out)) {
+    return Error::InvalidArgument;
+  }
+
   // If the input is a empty tensor, no other operation could be done. We just
   // return the output.
   if (in.numel() == 0) {
diff --git a/kernels/portable/cpu/util/slice_util.cpp b/kernels/portable/cpu/util/slice_util.cpp
new file mode 100644
index 0000000000..b9f5260e62
--- /dev/null
+++ b/kernels/portable/cpu/util/slice_util.cpp
@@ -0,0 +1,182 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/kernels/portable/cpu/util/slice_util.h>
+#include <executorch/runtime/kernel/kernel_includes.h>
+#include <cstring>
+
+namespace torch {
+namespace executor {
+
+using Tensor = exec_aten::Tensor;
+
+bool check_narrow_copy_args(
+    const Tensor& in,
+    int64_t dim,
+    int64_t start,
+    int64_t lenth,
+    Tensor& out) {
+  ET_LOG_AND_RETURN_IF_FALSE(in.dim() > 0);
+  ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_dtype(in, out));
+  ET_LOG_AND_RETURN_IF_FALSE(tensor_has_dim(in, dim));
+  ET_LOG_MSG_AND_RETURN_IF_FALSE(lenth >= 0, "lenth must be non-negative");
+  ET_LOG_AND_RETURN_IF_FALSE(start >= -in.size(dim));
+  ET_LOG_AND_RETURN_IF_FALSE(start <= in.size(dim));
+  if (start < 0) {
+    start += in.size(dim);
+  }
+  ET_LOG_AND_RETURN_IF_FALSE(start + lenth <= in.size(dim));
+  return true;
+}
+
+void get_narrow_copy_out_target_size(
+    const Tensor& in,
+    int64_t dim,
+    int64_t length,
+    exec_aten::SizesType* out_sizes,
+    size_t* out_ndim) {
+  *out_ndim = in.dim();
+
+  for (size_t d = 0; d < in.dim(); ++d) {
+    out_sizes[d] = in.size(d);
+  }
+  out_sizes[dim] = length;
+}
+
+bool check_slice_copy_args(
+    const Tensor& in,
+    int64_t dim,
+    int64_t step,
+    Tensor& out) {
+  ET_LOG_AND_RETURN_IF_FALSE(in.dim() > 0);
+  ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_dtype(in, out));
+  ET_LOG_AND_RETURN_IF_FALSE(tensor_has_dim(in, dim));
+  ET_LOG_MSG_AND_RETURN_IF_FALSE(
+      step > 0, "slice step must be greater than zero");
+  return true;
+}
+
+void get_slice_copy_out_target_size(
+    const Tensor& in,
+    int64_t dim,
+    int64_t length,
+    exec_aten::SizesType* out_sizes,
+    size_t* out_ndim) {
+  get_narrow_copy_out_target_size(in, dim, length, out_sizes, out_ndim);
+}
+
+bool check_slice_scatter_args(
+    const Tensor& input,
+    const Tensor& src,
+    int64_t dim,
+    int64_t num_values,
+    int64_t step,
+    Tensor output) {
+  ET_LOG_AND_RETURN_IF_FALSE(input.dim() > 0);
+
+  // Check dim. The dim planed to be selected on shall exist in input
+  ET_LOG_AND_RETURN_IF_FALSE(dim_is_valid(dim, input.dim()));
+
+  // Input and output tensors should be the same shape and dtype
+  ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_shape_and_dtype(input, output));
+
+  // The input.dim() shall equal to src.dim()
+  ET_LOG_AND_RETURN_IF_FALSE(tensors_have_same_rank(input, src));
+
+  // Check step. Step must be greater than zero
+  ET_LOG_MSG_AND_RETURN_IF_FALSE(
+      step > 0, "slice step must be greater than zero");
+
+  // The size of src tensor should follow these rules:
+  // - src.size(i) shall equal to input.size(i) if i != dim,
+  // - src.size(dim) shall equal to num_values
+  for (size_t d = 0; d < input.dim() - 1; d++) {
+    if (d != dim) {
+      ET_LOG_AND_RETURN_IF_FALSE(
+          tensors_have_same_size_at_dims(input, d, src, d));
+    } else {
+      ET_LOG_MSG_AND_RETURN_IF_FALSE(
+          src.size(d) == num_values,
+          "input.size(%zu) %zd != num_values %" PRId64 " | dim = %" PRId64 ")",
+          d,
+          input.size(d),
+          num_values,
+          dim);
+    }
+  }
+
+  return true;
+}
+
+int64_t adjust_slice_indices(
+    int64_t dim_length,
+    int64_t* start,
+    int64_t* end,
+    int64_t step) {
+  int64_t num_values = 0;
+
+  // Update start and end index
+  // First convert it to c++ style from python style if needed.
+  // The start index is using python style E.g., for the shape {2, 3, 4},
+  // dim = -1 would refer to dim[2], dim = -2 would refer to dim[1], and so on.
+  *start = *start < 0 ? *start + dim_length : *start;
+  *end = *end < 0 ? *end + dim_length : *end;
+  // Second, if start or end still negative, which means user want to start or
+  // end slicing from very beginning, so set it to zero
+  *start = *start < 0 ? 0 : *start;
+  *end = *end < 0 ? 0 : *end;
+  // Last, if start or end larger than maximum value (dim_length - 1), indicates
+  // user want to start slicing after end or slicing until the end, so update it
+  // to dim_length
+  *start = *start > dim_length ? dim_length : *start;
+  *end = *end > dim_length ? dim_length : *end;
+
+  if (*start >= dim_length || *end <= 0 || *start >= *end) {
+    // Set num_values to 0 if interval [start, end) is non-exist or do not
+    // overlap with [0, dim_length)
+    num_values = 0;
+  } else {
+    // Update num_values to min(max_num_values, num_values)
+    num_values = (*end - 1 - *start) / step + 1;
+  }
+  return num_values;
+}
+
+void compute_slice(
+    const Tensor& in,
+    int64_t dim,
+    int64_t start,
+    int64_t length,
+    int64_t step,
+    Tensor& out) {
+  size_t dim_length = in.size(dim);
+
+  size_t leading_dims = getLeadingDims(in, dim);
+  size_t trailing_dims = getTrailingDims(in, dim);
+
+  if (trailing_dims == 0) {
+    return;
+  }
+
+  size_t length_per_step = trailing_dims * in.element_size();
+
+  const char* input_data = in.const_data_ptr<char>();
+  char* dest = out.mutable_data_ptr<char>();
+
+  for (int i = 0; i < leading_dims; i++) {
+    const char* src = input_data + (i * dim_length + start) * length_per_step;
+    for (int j = 0; j < length; j++) {
+      memcpy(dest, src, length_per_step);
+      src += step * length_per_step;
+      dest += length_per_step;
+    }
+  }
+}
+
+} // namespace executor
+} // namespace torch
diff --git a/kernels/portable/cpu/util/slice_util.h b/kernels/portable/cpu/util/slice_util.h
new file mode 100644
index 0000000000..734f0dd3c6
--- /dev/null
+++ b/kernels/portable/cpu/util/slice_util.h
@@ -0,0 +1,66 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <executorch/runtime/kernel/kernel_includes.h>
+
+namespace torch {
+namespace executor {
+
+bool check_narrow_copy_args(
+    const Tensor& in,
+    int64_t dim,
+    int64_t start,
+    int64_t length,
+    Tensor& out);
+
+void get_narrow_copy_out_target_size(
+    const Tensor& in,
+    int64_t dim,
+    int64_t length,
+    exec_aten::SizesType* out_sizes,
+    size_t* out_ndim);
+
+bool check_slice_copy_args(
+    const Tensor& in,
+    int64_t dim,
+    int64_t step,
+    Tensor& out);
+
+void get_slice_copy_out_target_size(
+    const Tensor& in,
+    int64_t dim,
+    int64_t num_values,
+    exec_aten::SizesType* out_sizes,
+    size_t* out_ndim);
+
+bool check_slice_scatter_args(
+    const Tensor& input,
+    const Tensor& src,
+    int64_t dim,
+    int64_t num_values,
+    int64_t step,
+    Tensor output);
+
+int64_t adjust_slice_indices(
+    int64_t dim_length,
+    int64_t* start,
+    int64_t* end,
+    int64_t step);
+
+void compute_slice(
+    const Tensor& in,
+    int64_t dim,
+    int64_t start,
+    int64_t length,
+    int64_t step,
+    Tensor& out);
+
+} // namespace executor
+} // namespace torch
diff --git a/kernels/portable/cpu/util/targets.bzl b/kernels/portable/cpu/util/targets.bzl
index bd55b4da30..324b31ebf0 100644
--- a/kernels/portable/cpu/util/targets.bzl
+++ b/kernels/portable/cpu/util/targets.bzl
@@ -29,6 +29,7 @@ def define_common_targets():
             "//executorch/kernels/portable/cpu/util:distance_util",
             "//executorch/kernels/portable/cpu/util:select_copy_util",
             "//executorch/kernels/portable/cpu/util:advanced_index_util",
+            "//executorch/kernels/portable/cpu/util:slice_util",
         ],
         visibility = ["//executorch/...", "@EXECUTORCH_CLIENTS"],
     )
@@ -226,6 +227,16 @@ def define_common_targets():
         visibility = ["//executorch/kernels/portable/cpu/..."],
     )
 
+    runtime.cxx_library(
+        name = "slice_util",
+        srcs = ["slice_util.cpp"],
+        exported_headers = ["slice_util.h"],
+        deps = [
+            "//executorch/runtime/kernel:kernel_includes",
+        ],
+        visibility = ["//executorch/kernels/portable/cpu/..."],
+    )
+
     # Utility functions that can be used by operators that perform reduction
     for aten_mode in [True, False]:
         suffix = "_aten" if aten_mode else ""
@@ -238,5 +249,9 @@ def define_common_targets():
                 "//executorch/runtime/core/exec_aten/util:tensor_util{}".format(suffix),
             ],
             exported_preprocessor_flags = ["-DUSE_ATEN_LIB"] if aten_mode else [],
-            visibility = ["//executorch/kernels/portable/cpu/...", "//executorch/kernels/quantized/..."],
+            visibility = [
+                "//executorch/extension/llm/custom_ops/...",
+                "//executorch/kernels/portable/cpu/...",
+                "//executorch/kernels/quantized/...",
+            ],
         )
diff --git a/kernels/portable/cpu/util/test/broadcast_test.cpp b/kernels/portable/cpu/util/test/broadcast_test.cpp
index 168977eb83..9ad6555d94 100644
--- a/kernels/portable/cpu/util/test/broadcast_test.cpp
+++ b/kernels/portable/cpu/util/test/broadcast_test.cpp
@@ -20,8 +20,8 @@
 using namespace ::testing;
 using exec_aten::ScalarType;
 using exec_aten::Tensor;
-using torch::executor::ArrayRef;
-using torch::executor::testing::TensorFactory;
+using executorch::runtime::ArrayRef;
+using executorch::runtime::testing::TensorFactory;
 
 TEST(BroadcastUtilTest, BroadcastTensor) {
   TensorFactory<ScalarType::Int> tf;
@@ -112,17 +112,17 @@ TEST(BroadcastUtilTest, GetBroadcastTargetSize) {
   Tensor a = tf.zeros({2, 1});
   Tensor b = tf.zeros({5, 1, 2});
 
-  get_broadcast_target_size(
+  executorch::runtime::Error err = get_broadcast_target_size(
       a,
       b,
       expected_output_size,
       torch::executor::kTensorDimensionLimit,
       &expected_output_dim);
+  EXPECT_EQ(err, torch::executor::Error::Ok);
 
   EXPECT_TRUE(
-      torch::executor::ArrayRef<Tensor::SizesType>(
-          expected_output_size, expected_output_dim)
-          .equals(torch::executor::ArrayRef<Tensor::SizesType>({5, 2, 2})));
+      ArrayRef<Tensor::SizesType>(expected_output_size, expected_output_dim)
+          .equals(ArrayRef<Tensor::SizesType>({5, 2, 2})));
 }
 
 size_t linearize_indexes(size_t* indexes, size_t indexes_len, const Tensor& t) {
diff --git a/kernels/portable/functions.yaml b/kernels/portable/functions.yaml
index 93256b2a05..5136ea0a12 100644
--- a/kernels/portable/functions.yaml
+++ b/kernels/portable/functions.yaml
@@ -248,6 +248,11 @@
     - arg_meta: null
       kernel_name: torch::executor::convolution_out
 
+- op: convolution_backward.out
+  kernels:
+    - arg_meta: null
+      kernel_name: torch::executor::convolution_backward_out
+
 - op: copy.out
   kernels:
     - arg_meta: null
@@ -392,6 +397,11 @@
     - arg_meta: null
       kernel_name: torch::executor::full_like_out
 
+- op: gather.out
+  kernels:
+    - arg_meta: null
+      kernel_name: torch::executor::gather_out
+
 - op: ge.Scalar_out
   kernels:
     - arg_meta: null
@@ -577,6 +587,11 @@
     - arg_meta: null
       kernel_name: torch::executor::mul_scalar_out
 
+- op: narrow_copy.out
+  kernels:
+    - arg_meta: null
+      kernel_name: torch::executor::narrow_copy_out
+
 - op: native_group_norm.out
   kernels:
     - arg_meta: null
@@ -622,6 +637,11 @@
     - arg_meta: null
       kernel_name: torch::executor::pixel_shuffle_out
 
+- op: pixel_unshuffle.out
+  kernels:
+    - arg_meta: null
+      kernel_name: torch::executor::pixel_unshuffle_out
+
 - op: pow.Scalar_out
   kernels:
     - arg_meta: null
@@ -727,6 +747,16 @@
     - arg_meta: null
       kernel_name: torch::executor::scalar_tensor_out
 
+- op: scatter.src_out
+  kernels:
+    - arg_meta: null
+      kernel_name: torch::executor::scatter_src_out
+
+- op: scatter.value_out
+  kernels:
+    - arg_meta: null
+      kernel_name: torch::executor::scatter_value_out
+
 - op: scatter_add.out
   kernels:
     - arg_meta: null
@@ -832,6 +862,11 @@
     - arg_meta: null
       kernel_name: torch::executor::tanh_out
 
+- op: topk.values
+  kernels:
+    - arg_meta: null
+      kernel_name: torch::executor::topk_values
+
 - op: transpose_copy.int_out
   kernels:
     - arg_meta: null
diff --git a/kernels/portable/test/op_gelu_test.cpp b/kernels/portable/test/op_gelu_test.cpp
index ed6b8db429..7bd3964aed 100644
--- a/kernels/portable/test/op_gelu_test.cpp
+++ b/kernels/portable/test/op_gelu_test.cpp
@@ -25,7 +25,7 @@ using torch::executor::testing::TensorFactory;
 // executorch/kernels/test/op_gelu_test.cpp instead.
 
 Tensor& op_gelu_out(const Tensor& self, string_view approximate, Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::native::gelu_out(context, self, approximate, out);
 }
 
diff --git a/kernels/portable/test/op_mul_test.cpp b/kernels/portable/test/op_mul_test.cpp
index 0c7f300dcf..c95fdf3225 100644
--- a/kernels/portable/test/op_mul_test.cpp
+++ b/kernels/portable/test/op_mul_test.cpp
@@ -36,19 +36,18 @@ class OpMulOutKernelTest : public OperatorTest {
 TEST_F(OpMulOutKernelTest, UnhandledDtypeDies) {
   // mul_out() doesn't handle QInt8.
   // TensorFactory cannot be used with ScalarType::QInt8 since
-  // torch::executor::qint8 does not have a default constructor. It must be
+  // exec_aten::qint8 does not have a default constructor. It must be
   // initialized with an explicit value. So, we need to manually create the
   // underlying data without default construction and then the tensors from that
   // data via TensorImpl.
 
   std::vector<SizesType> sizes = {2, 2};
 
-  std::vector<torch::executor::qint8> a_data{};
-  std::generate_n(std::back_inserter(a_data), 4, []() {
-    return torch::executor::qint8{0};
-  });
-  std::vector<torch::executor::qint8> b_data(a_data);
-  std::vector<torch::executor::qint8> out_data(a_data);
+  std::vector<exec_aten::qint8> a_data{};
+  std::generate_n(
+      std::back_inserter(a_data), 4, []() { return exec_aten::qint8{0}; });
+  std::vector<exec_aten::qint8> b_data(a_data);
+  std::vector<exec_aten::qint8> out_data(a_data);
 
   auto a_impl = torch::executor::TensorImpl(
       ScalarType::QInt8, 2, sizes.data(), a_data.data());
diff --git a/kernels/prim_ops/et_copy_index.cpp b/kernels/prim_ops/et_copy_index.cpp
index cd34abfdab..cad15173f7 100644
--- a/kernels/prim_ops/et_copy_index.cpp
+++ b/kernels/prim_ops/et_copy_index.cpp
@@ -64,7 +64,7 @@ constexpr size_t kTensorDimensionLimit = 16;
 //
 // The output of each iteration (copy_from) is copied into the copy_to tensor at
 // the specified index. This operator is supported in both ATen and lean modes.
-void et_copy_index(RuntimeContext& context, EValue** stack) {
+void et_copy_index(KernelRuntimeContext& context, EValue** stack) {
   (void)context;
   SizesType expected_output_size[kTensorDimensionLimit];
 
@@ -94,7 +94,8 @@ void et_copy_index(RuntimeContext& context, EValue** stack) {
     expected_output_size[i + 1] = copy_from.sizes()[i];
   }
 
-  if (copy_to.sizes()[0] != expected_output_size[0]) {
+  if (copy_to.sizes()[0] < expected_output_size[0]) {
+    // Resize `copy_to` to the expected output size.
     const void* data_ptr = copy_to.const_data_ptr();
     Error err =
         resize_tensor(copy_to, {expected_output_size, copy_to.sizes().size()});
diff --git a/kernels/prim_ops/et_copy_index.h b/kernels/prim_ops/et_copy_index.h
index 2c238b399e..7fdc452dc8 100644
--- a/kernels/prim_ops/et_copy_index.h
+++ b/kernels/prim_ops/et_copy_index.h
@@ -15,7 +15,7 @@ namespace torch {
 namespace executor {
 namespace function {
 
-void et_copy_index(RuntimeContext& context, EValue** stack);
+void et_copy_index(KernelRuntimeContext& context, EValue** stack);
 
 } // namespace function
 } // namespace executor
diff --git a/kernels/prim_ops/et_view.cpp b/kernels/prim_ops/et_view.cpp
index b3d3592fe7..894996e32f 100644
--- a/kernels/prim_ops/et_view.cpp
+++ b/kernels/prim_ops/et_view.cpp
@@ -64,7 +64,7 @@ bool get_view_target_size(
 }
 } // namespace
 
-void et_view(RuntimeContext& context, EValue** stack) {
+void et_view(KernelRuntimeContext& context, EValue** stack) {
   (void)context;
 
   auto self = (*stack[0]).toTensor();
diff --git a/kernels/prim_ops/et_view.h b/kernels/prim_ops/et_view.h
index 7a0cb3d75f..927193dfb0 100644
--- a/kernels/prim_ops/et_view.h
+++ b/kernels/prim_ops/et_view.h
@@ -15,7 +15,7 @@ namespace torch {
 namespace executor {
 namespace function {
 
-void et_view(RuntimeContext& context, EValue** stack);
+void et_view(KernelRuntimeContext& context, EValue** stack);
 
 } // namespace function
 } // namespace executor
diff --git a/kernels/prim_ops/register_prim_ops.cpp b/kernels/prim_ops/register_prim_ops.cpp
index 721dc8e47a..2670310a99 100644
--- a/kernels/prim_ops/register_prim_ops.cpp
+++ b/kernels/prim_ops/register_prim_ops.cpp
@@ -12,7 +12,6 @@
 #include <executorch/runtime/kernel/kernel_includes.h>
 #include <executorch/runtime/kernel/operator_registry.h>
 
-using KernelArrayRef = ::torch::executor::ArrayRef<::torch::executor::Kernel>;
 using torch::executor::function::et_copy_index;
 
 namespace torch {
@@ -71,7 +70,7 @@ static Kernel prim_ops[] = {
     // aten::sym_size.int(Tensor self, int dim) -> SymInt
     Kernel(
         "aten::sym_size.int",
-        [](RuntimeContext& context, EValue** stack) {
+        [](KernelRuntimeContext& context, EValue** stack) {
           (void)context;
           EValue& self = *stack[0];
           EValue& dim = *stack[1];
@@ -84,7 +83,7 @@ static Kernel prim_ops[] = {
     // aten::_local_scalar_dense(Tensor self) -> Scalar
     Kernel(
         "aten::_local_scalar_dense",
-        [](RuntimeContext& context, EValue** stack) {
+        [](KernelRuntimeContext& context, EValue** stack) {
           (void)context;
           EValue& self = *stack[0];
           EValue& out = *stack[1];
@@ -101,7 +100,7 @@ static Kernel prim_ops[] = {
     // aten::sym_numel(Tensor self) -> SymInt
     Kernel(
         "aten::sym_numel",
-        [](RuntimeContext& context, EValue** stack) {
+        [](KernelRuntimeContext& context, EValue** stack) {
           (void)context;
           EValue& self = *stack[0];
           EValue& out = *stack[1];
@@ -112,7 +111,7 @@ static Kernel prim_ops[] = {
     // executorch_prim::add.Scalar(Scalar, Scalar) -> Scalar
     Kernel(
         "executorch_prim::add.Scalar",
-        [](RuntimeContext& context, EValue** stack) {
+        [](KernelRuntimeContext& context, EValue** stack) {
           (void)context;
           ALGEBRA_ET_PRIM_OP(+, stack, context);
         }),
@@ -120,14 +119,14 @@ static Kernel prim_ops[] = {
     // executorch_prim::sub.Scalar(Scalar, Scalar) -> Scalar
     Kernel(
         "executorch_prim::sub.Scalar",
-        [](RuntimeContext& context, EValue** stack) {
+        [](KernelRuntimeContext& context, EValue** stack) {
           ALGEBRA_ET_PRIM_OP(-, stack, context);
         }),
 
     // executorch_prim::mul.Scalar(Scalar, Scalar) -> Scalar
     Kernel(
         "executorch_prim::mul.Scalar",
-        [](RuntimeContext& context, EValue** stack) {
+        [](KernelRuntimeContext& context, EValue** stack) {
           ALGEBRA_ET_PRIM_OP(*, stack, context);
         }),
 
@@ -142,7 +141,7 @@ static Kernel prim_ops[] = {
      */
     Kernel(
         "executorch_prim::floordiv.Scalar",
-        [](RuntimeContext& context, EValue** stack) {
+        [](KernelRuntimeContext& context, EValue** stack) {
           (void)context;
           EValue& a = *stack[0];
           EValue& b = *stack[1];
@@ -171,7 +170,7 @@ static Kernel prim_ops[] = {
     // executorch_prim::floordiv.Scalar(Scalar, Scalar) -> Scalar
     Kernel(
         "executorch_prim::truediv.Scalar",
-        [](RuntimeContext& context, EValue** stack) {
+        [](KernelRuntimeContext& context, EValue** stack) {
           // can't use macro because of custom casting behavior
           (void)context;
           EValue& a = *stack[0];
@@ -196,7 +195,7 @@ static Kernel prim_ops[] = {
     // executorch_prim::sym_float.Scalar(Scalar) -> Scalar
     Kernel(
         "executorch_prim::sym_float.Scalar",
-        [](RuntimeContext& context, EValue** stack) {
+        [](KernelRuntimeContext& context, EValue** stack) {
           // can't use macro because of custom casting behavior
           // TODO: Now that we are reliably generating conversion operators,
           // we can remove the mixed type handling for other operators
@@ -217,42 +216,58 @@ static Kernel prim_ops[] = {
     // executorch_prim::eq.Scalar(Scalar, Scalar) -> bool
     Kernel(
         "executorch_prim::eq.Scalar",
-        [](RuntimeContext& context, EValue** stack) {
+        [](KernelRuntimeContext& context, EValue** stack) {
           BOOLEAN_ET_PRIM_OP(==, stack, context);
         }),
 
     // executorch_prim::gt.Scalar(Scalar, Scalar) -> bool
     Kernel(
         "executorch_prim::gt.Scalar",
-        [](RuntimeContext& context, EValue** stack) {
+        [](KernelRuntimeContext& context, EValue** stack) {
           BOOLEAN_ET_PRIM_OP(>, stack, context);
         }),
 
     // executorch_prim::lt.Scalar(Scalar, Scalar) -> bool
     Kernel(
         "executorch_prim::lt.Scalar",
-        [](RuntimeContext& context, EValue** stack) {
+        [](KernelRuntimeContext& context, EValue** stack) {
           BOOLEAN_ET_PRIM_OP(<, stack, context);
         }),
 
     // executorch_prim::ge.Scalar(Scalar, Scalar) -> bool
     Kernel(
         "executorch_prim::ge.Scalar",
-        [](RuntimeContext& context, EValue** stack) {
+        [](KernelRuntimeContext& context, EValue** stack) {
           BOOLEAN_ET_PRIM_OP(>=, stack, context);
         }),
 
     // executorch_prim::le.Scalar(Scalar, Scalar) -> bool
     Kernel(
         "executorch_prim::le.Scalar",
-        [](RuntimeContext& context, EValue** stack) {
+        [](KernelRuntimeContext& context, EValue** stack) {
           BOOLEAN_ET_PRIM_OP(<=, stack, context);
         }),
+    // executorch_prim::neg.Scalar(Scalar) -> Scalar
+    Kernel(
+        "executorch_prim::neg.Scalar",
+        [](KernelRuntimeContext& context, EValue** stack) {
+          (void)context;
+          EValue& a = *stack[0];
+          EValue& out = *stack[1];
+          if (a.isInt()) {
+            out = EValue(-a.toInt());
+          } else if (a.isDouble()) {
+            out = EValue(-a.toDouble());
+          } else {
+            // TODO Fail using runtime context
+            ET_CHECK_MSG(false, "%zu", (size_t)a.tag);
+          }
+        }),
 
     // executorch_prim::floordiv.int(int, int) -> int
     Kernel(
         "executorch_prim::floordiv.int",
-        [](RuntimeContext& context, EValue** stack) {
+        [](KernelRuntimeContext& context, EValue** stack) {
           (void)context;
           EValue& a = *stack[0];
           EValue& b = *stack[1];
@@ -263,7 +278,7 @@ static Kernel prim_ops[] = {
     // executorch_prim::mod.int(int, int) -> int
     Kernel(
         "executorch_prim::mod.int",
-        [](RuntimeContext& context, EValue** stack) {
+        [](KernelRuntimeContext& context, EValue** stack) {
           (void)context;
           EValue& a = *stack[0];
           EValue& b = *stack[1];
@@ -278,13 +293,14 @@ static Kernel prim_ops[] = {
 
 };
 
-static KernelArrayRef kernel_array_ref(
+executorch::runtime::Span<const executorch::runtime::Kernel> kernel_span(
     prim_ops,
     prim_ops + sizeof(prim_ops) / sizeof(Kernel));
 
 // Return value not used. Keep the static variable assignment to register
 // operators in static initialization time.
-static auto success_with_kernel_reg = register_kernels(kernel_array_ref);
+auto success_with_kernel_reg =
+    executorch::runtime::register_kernels(kernel_span);
 
 } // namespace
 } // namespace function
diff --git a/kernels/prim_ops/test/CMakeLists.txt b/kernels/prim_ops/test/CMakeLists.txt
new file mode 100644
index 0000000000..a25e15acc4
--- /dev/null
+++ b/kernels/prim_ops/test/CMakeLists.txt
@@ -0,0 +1,29 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+#
+# This file should be formatted with
+# ~~~
+# cmake-format -i CMakeLists.txt
+# ~~~
+# It should also be cmake-lint clean.
+#
+
+cmake_minimum_required(VERSION 3.19)
+project(prim_ops_test)
+
+# Use C++17 for test.
+set(CMAKE_CXX_STANDARD 17)
+
+set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../../..)
+
+include(${EXECUTORCH_ROOT}/build/Test.cmake)
+
+target_link_options_shared_lib(executorch)
+
+set(_test_srcs prim_ops_test.cpp)
+
+et_cxx_test(kernels_prim_ops_test SOURCES ${_test_srcs})
diff --git a/kernels/prim_ops/test/prim_ops_test.cpp b/kernels/prim_ops/test/prim_ops_test.cpp
index 50802a3e32..240e42a97c 100644
--- a/kernels/prim_ops/test/prim_ops_test.cpp
+++ b/kernels/prim_ops/test/prim_ops_test.cpp
@@ -29,10 +29,10 @@ namespace executor {
 
 class RegisterPrimOpsTest : public ::testing::Test {
  protected:
-  RuntimeContext context;
+  KernelRuntimeContext context;
   void SetUp() override {
     torch::executor::runtime_init();
-    context = RuntimeContext();
+    context = KernelRuntimeContext();
   }
 };
 
@@ -280,6 +280,53 @@ TEST_F(RegisterPrimOpsTest, LocalScalarDenseReturnsCorrectValue) {
   EXPECT_EQ(stack[1]->toInt(), expected);
 }
 
+TEST_F(RegisterPrimOpsTest, NegScalarReturnsCorrectValue) {
+  EValue values[2];
+
+  // Test with float
+  values[0] = EValue(5.0f);
+  values[1] = EValue(0.0f);
+
+  EValue* stack[2];
+  for (size_t i = 0; i < 2; i++) {
+    stack[i] = &values[i];
+  }
+
+  getOpsFn("executorch_prim::neg.Scalar")(context, stack);
+
+  EXPECT_EQ(stack[1]->toDouble(), -5.0f);
+
+  // Test with int
+  int64_t a = 5;
+  int64_t b = 0;
+  values[0] = EValue(a);
+  values[1] = EValue(b);
+
+  getOpsFn("executorch_prim::neg.Scalar")(context, stack);
+
+  EXPECT_EQ(stack[1]->toInt(), -5l);
+}
+
+TEST_F(RegisterPrimOpsTest, TestNegScalarWithTensorDies) {
+  testing::TensorFactory<ScalarType::Int> tf;
+
+  EValue values[2];
+
+  auto tensor = tf.make({2, 3}, {1, 2, 3, 4, 5, 6});
+
+  int64_t zero = 0;
+  values[0] = EValue(tensor);
+  values[1] = EValue(zero);
+
+  EValue* stack[2];
+  for (size_t i = 0; i < 2; i++) {
+    stack[i] = &values[i];
+  }
+
+  // Try to negate a tensor, which should cause a runtime error.
+  ET_EXPECT_DEATH(getOpsFn("executorch_prim::neg.Scalar")(context, stack), "");
+}
+
 TEST_F(RegisterPrimOpsTest, TestETView) {
   EXPECT_TRUE(hasOpsFn("executorch_prim::et_view.default"));
 
diff --git a/kernels/quantized/CMakeLists.txt b/kernels/quantized/CMakeLists.txt
index c649a793ed..f073835c93 100644
--- a/kernels/quantized/CMakeLists.txt
+++ b/kernels/quantized/CMakeLists.txt
@@ -87,6 +87,34 @@ if(NOT CMAKE_GENERATOR STREQUAL "Xcode"
     gen_custom_ops_aot_lib(
       LIB_NAME "quantized_ops_aot_lib" KERNEL_SOURCES "${_quantized_sources}"
     )
+
+    # Register quantized ops to portable_lib, so that they're available via
+    # pybindings.
+    if(TARGET portable_lib)
+      add_library(quantized_pybind_kernels_lib ${_quantized_kernels__srcs})
+      target_link_libraries(quantized_pybind_kernels_lib PRIVATE portable_lib)
+      target_compile_options(
+        quantized_pybind_kernels_lib PUBLIC ${_common_compile_options}
+      )
+      target_include_directories(
+        quantized_pybind_kernels_lib PUBLIC "${_common_include_directories}"
+      )
+      gen_selected_ops(
+        LIB_NAME "quantized_ops_pybind_lib" OPS_SCHEMA_YAML "${_yaml_file}"
+      )
+      generate_bindings_for_kernels(
+        LIB_NAME "quantized_ops_pybind_lib" CUSTOM_OPS_YAML "${_yaml_file}"
+      )
+      # Build a library for pybind usage. quantized_ops_pybind_lib: Register
+      # quantized ops kernels into Executorch runtime for pybind.
+      gen_operators_lib(
+        LIB_NAME "quantized_ops_pybind_lib" KERNEL_LIBS
+        quantized_pybind_kernels_lib DEPS portable_lib
+      )
+      target_link_libraries(
+        quantized_ops_aot_lib PUBLIC quantized_ops_pybind_lib
+      )
+    endif()
   endif()
 endif()
 
diff --git a/kernels/quantized/__init__.py b/kernels/quantized/__init__.py
new file mode 100644
index 0000000000..e507db6d93
--- /dev/null
+++ b/kernels/quantized/__init__.py
@@ -0,0 +1,21 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+try:
+    from pathlib import Path
+
+    libs = list(Path(__file__).parent.resolve().glob("**/libquantized_ops_aot_lib.*"))
+    del Path
+    assert len(libs) == 1, f"Expected 1 library but got {len(libs)}"
+    import torch as _torch
+
+    _torch.ops.load_library(libs[0])
+    del _torch
+except:
+    import logging
+
+    logging.info("libquantized_ops_aot_lib is not loaded")
+    del logging
diff --git a/kernels/quantized/cpu/op_add.cpp b/kernels/quantized/cpu/op_add.cpp
index fa947f8bd5..279169e3d1 100644
--- a/kernels/quantized/cpu/op_add.cpp
+++ b/kernels/quantized/cpu/op_add.cpp
@@ -163,7 +163,7 @@ Tensor& quantized_add_out(
 }
 
 Tensor& quantized_add_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& a,
     double a_scale,
     int64_t a_zero_point,
diff --git a/kernels/quantized/cpu/op_choose_qparams.cpp b/kernels/quantized/cpu/op_choose_qparams.cpp
index 47f2614076..13b26e0b73 100644
--- a/kernels/quantized/cpu/op_choose_qparams.cpp
+++ b/kernels/quantized/cpu/op_choose_qparams.cpp
@@ -149,11 +149,11 @@ void choose_qparams(
 }
 } // namespace
 
-std::tuple<Tensor, Tensor> choose_qparams_tensor_out(
+std::tuple<Tensor&, Tensor&> choose_qparams_tensor_out(
     const Tensor& input,
     int64_t quant_min,
     int64_t quant_max,
-    __ET_UNUSED double eps,
+    ET_UNUSED double eps,
     ScalarType dtype,
     Tensor& scale_out,
     Tensor& zero_point_out) {
@@ -164,8 +164,8 @@ std::tuple<Tensor, Tensor> choose_qparams_tensor_out(
   return {scale_out, zero_point_out};
 }
 
-::std::tuple<Tensor, Tensor> choose_qparams_tensor_out(
-    RuntimeContext& context,
+::std::tuple<Tensor&, Tensor&> choose_qparams_tensor_out(
+    KernelRuntimeContext& context,
     const Tensor& input,
     int64_t quant_min,
     int64_t quant_max,
diff --git a/kernels/quantized/cpu/op_dequantize.cpp b/kernels/quantized/cpu/op_dequantize.cpp
index 0722a733cb..836af47401 100644
--- a/kernels/quantized/cpu/op_dequantize.cpp
+++ b/kernels/quantized/cpu/op_dequantize.cpp
@@ -324,7 +324,7 @@ Tensor& dequantize_per_channel_out(
 }
 
 Tensor& dequantize_per_channel_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& input,
     const Tensor& scale,
     const optional<Tensor>& opt_zero_points,
@@ -348,7 +348,7 @@ Tensor& dequantize_per_channel_out(
 }
 
 Tensor& dequantize_per_tensor_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& input,
     double scale,
     int64_t zero_point,
@@ -365,7 +365,7 @@ Tensor& dequantize_per_tensor_out(
 }
 
 Tensor& dequantize_per_tensor_tensor_args_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& input,
     const Tensor& scale,
     const Tensor& zero_point,
diff --git a/kernels/quantized/cpu/op_embedding.cpp b/kernels/quantized/cpu/op_embedding.cpp
index eb9845b0c5..dda1d6027d 100644
--- a/kernels/quantized/cpu/op_embedding.cpp
+++ b/kernels/quantized/cpu/op_embedding.cpp
@@ -250,7 +250,7 @@ Tensor& quantized_embedding_byte_out(
 }
 
 Tensor& quantized_embedding_byte_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& weight,
     const Tensor& weight_scales,
     const optional<Tensor>& opt_weight_zero_points,
@@ -313,7 +313,7 @@ Tensor& quantized_embedding_byte_dtype_out(
 }
 
 Tensor& quantized_embedding_byte_dtype_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& weight,
     const Tensor& weight_scales,
     const optional<Tensor>& opt_weight_zero_points,
diff --git a/kernels/quantized/cpu/op_embedding4b.cpp b/kernels/quantized/cpu/op_embedding4b.cpp
index 79dc3d6136..df553d2594 100644
--- a/kernels/quantized/cpu/op_embedding4b.cpp
+++ b/kernels/quantized/cpu/op_embedding4b.cpp
@@ -256,7 +256,7 @@ Tensor& quantized_embedding_4bit_out(
 }
 
 Tensor& quantized_embedding_4bit_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& weight,
     const Tensor& weight_scales,
     const optional<Tensor>& opt_weight_zero_points,
@@ -316,7 +316,7 @@ Tensor& quantized_embedding_4bit_dtype_out(
 }
 
 Tensor& quantized_embedding_4bit_dtype_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& weight,
     const Tensor& weight_scales,
     const optional<Tensor>& opt_weight_zero_points,
diff --git a/kernels/quantized/cpu/op_mixed_linear.cpp b/kernels/quantized/cpu/op_mixed_linear.cpp
index 7549e0476c..d3552e1ca6 100644
--- a/kernels/quantized/cpu/op_mixed_linear.cpp
+++ b/kernels/quantized/cpu/op_mixed_linear.cpp
@@ -113,7 +113,7 @@ Tensor& quantized_mixed_linear_out(
 }
 
 Tensor& quantized_mixed_linear_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     const Tensor& weight,
     const Tensor& weight_scales,
diff --git a/kernels/quantized/cpu/op_mixed_mm.cpp b/kernels/quantized/cpu/op_mixed_mm.cpp
index c11d6cde5e..895c7e0af3 100644
--- a/kernels/quantized/cpu/op_mixed_mm.cpp
+++ b/kernels/quantized/cpu/op_mixed_mm.cpp
@@ -88,7 +88,7 @@ Tensor& quantized_mixed_mm_out(
 }
 
 Tensor& quantized_mixed_mm_out(
-    RuntimeContext& ctx,
+    KernelRuntimeContext& ctx,
     const Tensor& in,
     const Tensor& weight,
     const Tensor& weight_scales,
diff --git a/kernels/quantized/cpu/op_quantize.cpp b/kernels/quantized/cpu/op_quantize.cpp
index 080ab56b91..065dc743d9 100644
--- a/kernels/quantized/cpu/op_quantize.cpp
+++ b/kernels/quantized/cpu/op_quantize.cpp
@@ -157,7 +157,7 @@ Tensor& quantize_per_tensor_out(
 }
 
 Tensor& quantize_per_tensor_tensor_args_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& input,
     const Tensor& scale,
     const Tensor& zero_point,
@@ -209,7 +209,7 @@ Tensor& quantize_per_tensor_tensor_args_out(
     int64_t quant_max,
     ScalarType dtype,
     Tensor& out) {
-  auto context = torch::executor::RuntimeContext();
+  auto context = executorch::runtime::KernelRuntimeContext();
   auto& res = quantize_per_tensor_tensor_args_out(
       context, input, scale, zero_point, quant_min, quant_max, dtype, out);
   ET_CHECK(context.failure_state() == Error::Ok);
@@ -217,7 +217,7 @@ Tensor& quantize_per_tensor_tensor_args_out(
 }
 
 Tensor& quantize_per_tensor_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& input,
     double scale,
     int64_t zero_point,
@@ -358,7 +358,7 @@ Tensor& quantize_per_channel_out(
 }
 
 Tensor& quantize_per_channel_out(
-    RuntimeContext& context,
+    KernelRuntimeContext& context,
     const Tensor& input,
     const Tensor& scale,
     const Tensor& zero_point,
diff --git a/kernels/quantized/cpu/targets.bzl b/kernels/quantized/cpu/targets.bzl
index 39552aaaf1..d2bbbfebe0 100644
--- a/kernels/quantized/cpu/targets.bzl
+++ b/kernels/quantized/cpu/targets.bzl
@@ -58,7 +58,10 @@ def define_common_targets():
     runtime.cxx_library(
         name = "quantized_cpu",
         srcs = [],
-        visibility = ["//executorch/kernels/quantized/..."],
+        visibility = [
+            "//executorch/kernels/quantized/...",
+            "//executorch/extension/pybindings/test/...",
+        ],
         exported_deps = quant_op_targets,
     )
 
diff --git a/kernels/quantized/targets.bzl b/kernels/quantized/targets.bzl
index 2c951fa4a7..fd35ad3728 100644
--- a/kernels/quantized/targets.bzl
+++ b/kernels/quantized/targets.bzl
@@ -88,3 +88,15 @@ def define_common_targets():
             ],
             define_static_targets = True,
         )
+
+    runtime.python_library(
+        name = "quantized_ops_lib",
+        srcs = ["__init__.py"],
+        deps = [
+            "//caffe2:torch",
+        ],
+        visibility = [
+            "//executorch/kernels/quantized/...",
+            "@EXECUTORCH_CLIENTS",
+        ],
+    )
diff --git a/kernels/quantized/test/TARGETS b/kernels/quantized/test/TARGETS
index 2775d8e186..ec1ddacfc4 100644
--- a/kernels/quantized/test/TARGETS
+++ b/kernels/quantized/test/TARGETS
@@ -15,5 +15,6 @@ python_unittest(
         "//caffe2:torch",
         "//executorch/exir/dialects:lib",
         "//executorch/exir/passes:quant_fusion_pass",
+        "//executorch/kernels/quantized:quantized_ops_lib",
     ],
 )
diff --git a/kernels/quantized/test/op_add_test.cpp b/kernels/quantized/test/op_add_test.cpp
index a48ba10c66..573d9b1dca 100644
--- a/kernels/quantized/test/op_add_test.cpp
+++ b/kernels/quantized/test/op_add_test.cpp
@@ -21,10 +21,10 @@
 using namespace ::testing;
 using exec_aten::ArrayRef;
 using exec_aten::optional;
-using exec_aten::RuntimeContext;
 using exec_aten::Scalar;
 using exec_aten::ScalarType;
 using exec_aten::Tensor;
+using executorch::runtime::KernelRuntimeContext;
 using torch::executor::native::add_out;
 using torch::executor::native::dequantize_per_tensor_out;
 using torch::executor::native::quantize_per_tensor_out;
@@ -193,7 +193,7 @@ TEST(OpQuantizeAddTest, ConsitencyWithReferencePattern) {
 
   optional<ScalarType> out_dtype = optional<ScalarType>();
 
-  RuntimeContext context{};
+  KernelRuntimeContext context{};
   // q -> qadd -> dq
   // 3.5 / 0.5 + 1 = 8
   quantize_per_tensor_out(
diff --git a/kernels/quantized/test/op_embedding4b_test.cpp b/kernels/quantized/test/op_embedding4b_test.cpp
index 1eb7aa11b2..4125e557d4 100644
--- a/kernels/quantized/test/op_embedding4b_test.cpp
+++ b/kernels/quantized/test/op_embedding4b_test.cpp
@@ -19,9 +19,9 @@
 using namespace ::testing;
 using exec_aten::ArrayRef;
 using exec_aten::optional;
-using exec_aten::RuntimeContext;
 using exec_aten::ScalarType;
 using exec_aten::Tensor;
+using executorch::runtime::KernelRuntimeContext;
 using torch::executor::native::quantized_embedding_4bit_out;
 
 using torch::executor::testing::TensorFactory;
@@ -62,7 +62,7 @@ TEST(OpQuantizedEmbedding4bTest, TestGroupWiseQuantizedEmbedding) {
   EXPECT_TENSOR_EQ(out, expected);
 
   out = tf.zeros({3, 4});
-  auto context = RuntimeContext();
+  auto context = KernelRuntimeContext();
   torch::executor::native::quantized_embedding_4bit_out(
       context,
       qweight,
diff --git a/kernels/quantized/test/op_embedding_test.cpp b/kernels/quantized/test/op_embedding_test.cpp
index 76114561e5..cc0abe3cb9 100644
--- a/kernels/quantized/test/op_embedding_test.cpp
+++ b/kernels/quantized/test/op_embedding_test.cpp
@@ -21,10 +21,10 @@
 using namespace ::testing;
 using exec_aten::ArrayRef;
 using exec_aten::optional;
-using exec_aten::RuntimeContext;
 using exec_aten::Scalar;
 using exec_aten::ScalarType;
 using exec_aten::Tensor;
+using executorch::runtime::KernelRuntimeContext;
 using torch::executor::native::dequantize_per_tensor_out;
 using torch::executor::native::embedding_out;
 using torch::executor::native::quantize_per_tensor_out;
@@ -120,7 +120,7 @@ TEST(OpQuantizedEmbeddingTest, ConsitencyWithReferencePattern) {
 
   TensorFactory<ScalarType::Byte> tfo;
   Tensor qweight = tfo.zeros({3, 1});
-  RuntimeContext context{};
+  KernelRuntimeContext context{};
   // 3.5 / 0.5 + 1 = 8
   // 5.5 / 0.5 + 1 = 12
   // 1 / 0.5 + 1 = 3
diff --git a/kernels/quantized/test/op_mixed_linear_test.cpp b/kernels/quantized/test/op_mixed_linear_test.cpp
index df141cb1cb..5728134d98 100644
--- a/kernels/quantized/test/op_mixed_linear_test.cpp
+++ b/kernels/quantized/test/op_mixed_linear_test.cpp
@@ -18,9 +18,9 @@
 
 using namespace ::testing;
 using exec_aten::optional;
-using exec_aten::RuntimeContext;
 using exec_aten::ScalarType;
 using exec_aten::Tensor;
+using executorch::runtime::KernelRuntimeContext;
 using torch::executor::native::quantized_mixed_linear_out;
 using torch::executor::testing::TensorFactory;
 
@@ -57,7 +57,7 @@ void test_dtype() {
       /*sizes=*/{1, 2},
       /*data=*/{2.3, 3.6});
 
-  RuntimeContext ctx{};
+  KernelRuntimeContext ctx{};
 
   quantized_mixed_linear_out(
       ctx, input, weight, weight_scales, opt_weight_zp, opt_dtype_out, out);
@@ -112,7 +112,7 @@ void test_dtype_partials() {
       {(1.0 * 5 + 1.5 * 3) * 0.2 + 2.0 * 1 * 1,
        (1.0 * 4 + 1.5 * 2) * 0.4 + 2.0 * 1 * 0.5});
 
-  RuntimeContext ctx{};
+  KernelRuntimeContext ctx{};
 
   quantized_mixed_linear_out(
       ctx, input, weight, weight_scales, opt_weight_zp, opt_dtype_out, out);
diff --git a/kernels/quantized/test/op_mixed_mm_test.cpp b/kernels/quantized/test/op_mixed_mm_test.cpp
index 3e181ab523..0dc71abc7a 100644
--- a/kernels/quantized/test/op_mixed_mm_test.cpp
+++ b/kernels/quantized/test/op_mixed_mm_test.cpp
@@ -18,9 +18,9 @@
 
 using namespace ::testing;
 using exec_aten::optional;
-using exec_aten::RuntimeContext;
 using exec_aten::ScalarType;
 using exec_aten::Tensor;
+using executorch::runtime::KernelRuntimeContext;
 using torch::executor::native::quantized_mixed_mm_out;
 using torch::executor::testing::TensorFactory;
 
@@ -55,7 +55,7 @@ void test_dtype() {
       /*sizes=*/{1, 2},
       /*data=*/{3.8, 3.0});
 
-  RuntimeContext ctx{};
+  KernelRuntimeContext ctx{};
 
   quantized_mixed_mm_out(ctx, input, weight, weight_scales, opt_weight_zp, out);
 
diff --git a/kernels/quantized/test/test_out_variants.py b/kernels/quantized/test/test_out_variants.py
index fd7da2a7c3..ebc94b4741 100644
--- a/kernels/quantized/test/test_out_variants.py
+++ b/kernels/quantized/test/test_out_variants.py
@@ -7,6 +7,8 @@
 
 import unittest
 
+import executorch.kernels.quantized  # noqa[F401] 'executorch.kernels.quantized' imported but unused
+
 import torch
 import torch.ao.quantization.fx._decomposed  # noqa[F401] 'torch.ao.quantization.fx._decomposed' imported but unused
 from executorch.exir.dialects._ops import ops
diff --git a/kernels/test/CMakeLists.txt b/kernels/test/CMakeLists.txt
index 92350a2c0d..da40c91dab 100644
--- a/kernels/test/CMakeLists.txt
+++ b/kernels/test/CMakeLists.txt
@@ -31,7 +31,8 @@ foreach(kernel ${_kernels})
   add_custom_command(
     OUTPUT "${_wrapper_path}"
     COMMAND mkdir -p ${_wrapper_dir}
-    COMMAND echo "#include <executorch/kernels/${kernel}/Functions.h>" > "${_wrapper_path}"
+    COMMAND echo "#include <executorch/kernels/${kernel}/Functions.h>" >
+            "${_wrapper_path}"
     WORKING_DIRECTORY "${CMAKE_CURRENT_BINARY_DIR}"
     COMMENT "Generating ${_wrapper_path}"
     VERBATIM
@@ -243,11 +244,22 @@ set(_optimized_kernels_test_sources
 )
 
 # We don't have sleef on OSS so we don't have gelu and log_softmax
-list(REMOVE_ITEM _optimized_kernels_test_sources "op_gelu_test.cpp" "op_log_softmax_test.cpp")
+list(REMOVE_ITEM _optimized_kernels_test_sources "op_gelu_test.cpp"
+     "op_log_softmax_test.cpp"
+)
 
 et_cxx_test(
-  optimized_kernels_test SOURCES ${_optimized_kernels_test_sources} EXTRA_LIBS
-  optimized_kernels optimized_ops_lib portable_kernels eigen_blas
+  optimized_kernels_test
+  SOURCES
+  ${_optimized_kernels_test_sources}
+  EXTRA_LIBS
+  cpuinfo
+  extension_threadpool
+  optimized_kernels
+  optimized_ops_lib
+  portable_kernels
+  pthreadpool
+  eigen_blas
 )
 add_dependencies(optimized_kernels_test generate_wrapper)
 target_include_directories(
diff --git a/kernels/test/TestUtil.h b/kernels/test/TestUtil.h
index ed72dbc412..aa220f5bfd 100644
--- a/kernels/test/TestUtil.h
+++ b/kernels/test/TestUtil.h
@@ -30,6 +30,22 @@
 #define ET_EXPECT_KERNEL_FAILURE_WITH_MSG(_context, _statement, _matcher) \
   EXPECT_ANY_THROW(_statement)
 
+#define ET_TEST_OP_SUPPORTS_MEMORY_FORMATS(                                  \
+    tf, op, input_contiguous, expected_contiguous, channels_last_support)    \
+  Tensor input_channels_last = tf.channels_last_like(input_contiguous);      \
+  Tensor expected_channel_last = tf.channels_last_like(expected_contiguous); \
+                                                                             \
+  Tensor output_contiguous = tf.zeros_like(expected_contiguous);             \
+  Tensor output_channels_last = tf.channels_last_like(output_contiguous);    \
+                                                                             \
+  Tensor ret = op(input_channels_last, output_channels_last);                \
+  if (channels_last_support) {                                               \
+    EXPECT_TENSOR_EQ(output_channels_last, expected_channel_last);           \
+  } else {                                                                   \
+    EXPECT_TENSOR_NE(output_channels_last, expected_channel_last);           \
+  }                                                                          \
+  EXPECT_TENSOR_EQ(output_channels_last, ret);
+
 #else
 
 #define ET_EXPECT_KERNEL_FAILURE(_context, _statement)              \
@@ -52,6 +68,26 @@
     }                                                                 \
   } while (false)
 
+#define ET_TEST_OP_SUPPORTS_MEMORY_FORMATS(                                  \
+    tf, op, input_contiguous, expected_contiguous, channels_last_support)    \
+  Tensor input_channels_last = tf.channels_last_like(input_contiguous);      \
+  Tensor expected_channel_last = tf.channels_last_like(expected_contiguous); \
+                                                                             \
+  Tensor output_contiguous = tf.zeros_like(expected_contiguous);             \
+  Tensor output_channels_last = tf.channels_last_like(output_contiguous);    \
+                                                                             \
+  Tensor ret = op(input_channels_last, output_channels_last);                \
+  if (channels_last_support) {                                               \
+    EXPECT_TENSOR_EQ(output_channels_last, expected_channel_last);           \
+  } else {                                                                   \
+    EXPECT_TENSOR_NE(output_channels_last, expected_channel_last);           \
+  }                                                                          \
+  EXPECT_TENSOR_EQ(output_channels_last, ret);                               \
+  ET_EXPECT_KERNEL_FAILURE(                                                  \
+      context_, op(input_channels_last, output_contiguous));                 \
+  ET_EXPECT_KERNEL_FAILURE(                                                  \
+      context_, op(input_contiguous, output_channels_last));
+
 #endif // USE_ATEN_LIB
 
 /*
@@ -80,6 +116,6 @@ class OperatorTest : public ::testing::Test {
   }
 
  protected:
-  exec_aten::RuntimeContext context_;
+  executorch::runtime::KernelRuntimeContext context_;
   bool expect_failure_;
 };
diff --git a/kernels/test/custom_kernel_example/op_relu.cpp b/kernels/test/custom_kernel_example/op_relu.cpp
index e86d0ca4e6..e59fbf4bd7 100644
--- a/kernels/test/custom_kernel_example/op_relu.cpp
+++ b/kernels/test/custom_kernel_example/op_relu.cpp
@@ -18,8 +18,8 @@ namespace native {
 
 using Tensor = exec_aten::Tensor;
 using ScalarType = exec_aten::ScalarType;
-using exec_aten::RuntimeContext;
 using executor::Error;
+using executorch::runtime::KernelRuntimeContext;
 
 namespace {
 
@@ -61,7 +61,8 @@ void relu(const Tensor& input, Tensor& output) {
  *
  * relu.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
  */
-Tensor& my_relu_out(RuntimeContext& context, const Tensor& input, Tensor& out) {
+Tensor&
+my_relu_out(KernelRuntimeContext& context, const Tensor& input, Tensor& out) {
   (void)context;
   resize(out, input.sizes());
   ET_KERNEL_CHECK(
diff --git a/kernels/test/op_abs_test.cpp b/kernels/test/op_abs_test.cpp
index b54cd97156..f596d586d9 100644
--- a/kernels/test/op_abs_test.cpp
+++ b/kernels/test/op_abs_test.cpp
@@ -38,3 +38,28 @@ TEST_F(OpAbsTest, SanityCheck) {
   EXPECT_TENSOR_EQ(out, ret);
   EXPECT_TENSOR_EQ(out, expected);
 }
+
+TEST_F(OpAbsTest, MemoryFormatCheck) {
+  TensorFactory<ScalarType::Float> tf;
+
+  std::vector<int32_t> sizes = {2, 3, 1, 5};
+
+  Tensor input_contiguous =
+      tf.make(sizes, {0.8737,  0.5359,  0.3743,  -0.3040, -0.7800, -0.2306,
+                      -0.7684, -0.5364, 0.3478,  -0.3289, 0.0829,  0.2939,
+                      -0.8211, 0.8572,  -0.0802, 0.9252,  -0.2093, 0.9013,
+                      -0.4197, 0.3987,  -0.5291, -0.5567, 0.2691,  0.7819,
+                      -0.8009, -0.4286, -0.9299, 0.2143,  0.2565,  -0.5701});
+  Tensor expected_contiguous = tf.make(
+      sizes, {0.8737, 0.5359, 0.3743, 0.3040, 0.7800, 0.2306, 0.7684, 0.5364,
+              0.3478, 0.3289, 0.0829, 0.2939, 0.8211, 0.8572, 0.0802, 0.9252,
+              0.2093, 0.9013, 0.4197, 0.3987, 0.5291, 0.5567, 0.2691, 0.7819,
+              0.8009, 0.4286, 0.9299, 0.2143, 0.2565, 0.5701});
+
+  ET_TEST_OP_SUPPORTS_MEMORY_FORMATS(
+      tf,
+      op_abs_out,
+      input_contiguous,
+      expected_contiguous,
+      /*channels_last_support=*/true);
+}
diff --git a/kernels/test/op_add_test.cpp b/kernels/test/op_add_test.cpp
index 33de8153a3..e35a4100c9 100644
--- a/kernels/test/op_add_test.cpp
+++ b/kernels/test/op_add_test.cpp
@@ -58,6 +58,7 @@ class OpAddOutKernelTest : public OperatorTest {
 
   template <ScalarType DTYPE_A, ScalarType DTYPE_B>
   void test_add_enumerate_out_types() {
+    test_add<DTYPE_A, DTYPE_B, ScalarType::BFloat16>();
     test_add<DTYPE_A, DTYPE_B, ScalarType::Half>();
     test_add<DTYPE_A, DTYPE_B, ScalarType::Float>();
     test_add<DTYPE_A, DTYPE_B, ScalarType::Double>();
@@ -73,7 +74,7 @@ class OpAddOutKernelTest : public OperatorTest {
 #define ENUMERATE_TEST_ENTRY(ctype, dtype) \
   test_add_enumerate_out_types<DTYPE_A, ScalarType::dtype>();
 
-    ET_FORALL_REAL_TYPES_AND(Half, ENUMERATE_TEST_ENTRY)
+    ET_FORALL_REALHBF16_TYPES(ENUMERATE_TEST_ENTRY)
 
 #undef ENUMERATE_TEST_ENTRY
   }
@@ -82,7 +83,7 @@ class OpAddOutKernelTest : public OperatorTest {
 #define ENUMERATE_TEST_ENTRY(ctype, dtype) \
   test_add_enumerate_b_types<ScalarType::dtype>();
 
-    ET_FORALL_REAL_TYPES_AND(Half, ENUMERATE_TEST_ENTRY)
+    ET_FORALL_REALHBF16_TYPES(ENUMERATE_TEST_ENTRY)
 
 #undef ENUMERATE_TEST_ENTRY
   }
@@ -99,13 +100,15 @@ class OpAddOutKernelTest : public OperatorTest {
 
     // Add two tensors.
     op_add_out(
-        tf.make(sizes, /*data=*/{1.1, 2.2, 4.4, 8.8}),
+        tf.make(sizes, /*data=*/{1.25, 2.25, 4.5, 8.875}),
         tf.ones(sizes),
-        /*alpha=*/1.1,
+        /*alpha=*/1.25,
         out);
 
-    // Check that it matches the expected output.
-    EXPECT_TENSOR_CLOSE(out, tf.make(sizes, /*data=*/{2.2, 3.3, 5.5, 9.9}));
+    // Check that it matches the expected output. Values selected to
+    // be exactly representable to avoid throwing off half/bfloat16
+    // tests.
+    EXPECT_TENSOR_CLOSE(out, tf.make(sizes, /*data=*/{2.5, 3.5, 5.75, 10.125}));
   }
 };
 
@@ -136,6 +139,14 @@ TEST_F(OpAddOutKernelTest, DoubleTensors) {
   test_floating_point_add_out<ScalarType::Double>();
 }
 
+TEST_F(OpAddOutKernelTest, HalfTensors) {
+  test_floating_point_add_out<ScalarType::Half>();
+}
+
+TEST_F(OpAddOutKernelTest, BFloat16Tensors) {
+  test_floating_point_add_out<ScalarType::BFloat16>();
+}
+
 TEST_F(OpAddOutKernelTest, BoolAndIntInputTensor) {
   TensorFactory<ScalarType::Bool> tf;
   TensorFactory<ScalarType::Int> tfi;
@@ -288,6 +299,76 @@ TEST_F(OpAddOutKernelTest, BroadcastSupported) {
   EXPECT_TENSOR_EQ(out, tf.ones({5, 2, 3, 4}));
 }
 
+TEST_F(OpAddOutKernelTest, BroadcastOneElementTensor) {
+  TensorFactory<ScalarType::Float> tf;
+  Tensor x = tf.make({1}, {1.75});
+  Tensor y = tf.make({3, 2}, {-1.5, -1, -0.5, 0, 0.5, 1.5});
+
+  Tensor out = tf.zeros({3, 2});
+
+  Tensor ret = op_add_out(x, y, 1, out);
+
+  Tensor expected = tf.make(
+      {3, 2},
+      {
+          0.25,
+          0.75,
+          1.25,
+          1.75,
+          2.25,
+          3.25,
+      });
+
+  EXPECT_TENSOR_EQ(out, expected);
+
+  out = op_add_out(y, x, 1, out);
+  EXPECT_TENSOR_EQ(out, expected);
+}
+
+TEST_F(OpAddOutKernelTest, BroadcastOneElementTensorTypePromotion) {
+  TensorFactory<ScalarType::Float> tf;
+  TensorFactory<ScalarType::Double> tfDouble;
+  Tensor x = tfDouble.make({1}, {1.75});
+  Tensor y = tf.make({3, 2}, {-1.5, -1, -0.5, 0, 0.5, 1.5});
+
+  Tensor out = tfDouble.zeros({3, 2});
+
+  Tensor ret = op_add_out(x, y, 1, out);
+
+  Tensor expected = tfDouble.make(
+      {3, 2},
+      {
+          0.25,
+          0.75,
+          1.25,
+          1.75,
+          2.25,
+          3.25,
+      });
+
+  EXPECT_TENSOR_EQ(out, expected);
+
+  out = op_add_out(y, x, 1, out);
+  EXPECT_TENSOR_EQ(out, expected);
+}
+
+TEST_F(OpAddOutKernelTest, BroadcastOneElementRank0Tensor) {
+  TensorFactory<ScalarType::Float> tf;
+
+  Tensor a = tf.make({1}, {5});
+  Tensor b = tf.make({}, {2});
+
+  Tensor out = tf.zeros({1});
+
+  op_add_out(a, b, 1, out);
+
+  Tensor ret = tf.make({1}, {7});
+  EXPECT_TENSOR_EQ(out, ret);
+
+  op_add_out(b, a, 1, out);
+  EXPECT_TENSOR_EQ(out, ret);
+}
+
 //
 // Death Tests
 //
@@ -355,15 +436,15 @@ TEST_F(OpAddOutKernelTest, BoolOutputWithIntegralInput) {
   ET_EXPECT_KERNEL_FAILURE(context_, op_add_out(a, b, /*alpha=*/1, out));
 }
 
-TEST_F(OpAddOutKernelTest, MismatchedInputShapesDies) {
+TEST_F(OpAddOutKernelTest, MismatchedNonBroadcastableInputShapesDies) {
   TensorFactory<ScalarType::Int> tf;
 
   // Addends with different shapes.
-  Tensor a = tf.ones(/*sizes=*/{4});
+  Tensor a = tf.ones(/*sizes=*/{4, 2});
   Tensor b = tf.ones(/*sizes=*/{2, 2});
 
   // Destination for the sum; matches the shape of one of the inputs.
-  Tensor out = tf.zeros(/*sizes=*/{4});
+  Tensor out = tf.zeros(/*sizes=*/{8});
 
   // Adding the two mismatched tensors should cause an assertion and kill the
   // test process.
diff --git a/kernels/test/op_atan2_test.cpp b/kernels/test/op_atan2_test.cpp
index 0c5baffd41..2acdeeb913 100644
--- a/kernels/test/op_atan2_test.cpp
+++ b/kernels/test/op_atan2_test.cpp
@@ -23,7 +23,7 @@ using torch::executor::testing::SupportedFeatures;
 using torch::executor::testing::TensorFactory;
 
 Tensor& op_atan2_out(const Tensor& self, const Tensor& other, Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::atan2_outf(context, self, other, out);
 }
 
diff --git a/kernels/test/op_cdist_forward_test.cpp b/kernels/test/op_cdist_forward_test.cpp
index 04ccb6d34a..c8c18c36ad 100644
--- a/kernels/test/op_cdist_forward_test.cpp
+++ b/kernels/test/op_cdist_forward_test.cpp
@@ -28,7 +28,7 @@ Tensor& op_cdist_forward_out(
     double p,
     optional<int64_t> compute_mode,
     Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::_cdist_forward_outf(
       context, x1, x2, p, compute_mode, out);
 }
diff --git a/kernels/test/op_clamp_test.cpp b/kernels/test/op_clamp_test.cpp
index 0244fd5570..d9d4550908 100644
--- a/kernels/test/op_clamp_test.cpp
+++ b/kernels/test/op_clamp_test.cpp
@@ -260,7 +260,7 @@ class OpClampTensorOutTest : public OperatorTest {
       const optional<Tensor>& min,
       const optional<Tensor>& max,
       Tensor& out) {
-    exec_aten::RuntimeContext context{};
+    executorch::runtime::KernelRuntimeContext context{};
     return torch::executor::aten::clamp_outf(context, self, min, max, out);
   }
 };
diff --git a/kernels/test/op_convolution_backward_test.cpp b/kernels/test/op_convolution_backward_test.cpp
new file mode 100644
index 0000000000..4a4d0f883f
--- /dev/null
+++ b/kernels/test/op_convolution_backward_test.cpp
@@ -0,0 +1,200 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/kernels/test/FunctionHeaderWrapper.h> // Declares the operator
+#include <executorch/kernels/test/TestUtil.h>
+#include <executorch/runtime/core/exec_aten/exec_aten.h>
+#include <executorch/runtime/core/exec_aten/testing_util/tensor_factory.h>
+#include <executorch/runtime/core/exec_aten/testing_util/tensor_util.h>
+
+#include <gtest/gtest.h>
+
+using namespace ::testing;
+using exec_aten::ArrayRef;
+using exec_aten::optional;
+using exec_aten::ScalarType;
+using exec_aten::Tensor;
+using IntArrayRef = exec_aten::ArrayRef<int64_t>;
+using OptIntArrayRef = exec_aten::OptionalArrayRef<int64_t>;
+using torch::executor::testing::TensorFactory;
+
+class OpConvolutionBackwardOutTest : public OperatorTest {
+ protected:
+  std::tuple<Tensor&, Tensor&, Tensor&> op_convolution_backward_out(
+      const Tensor& grad_output,
+      const Tensor& input,
+      const Tensor& weight,
+      const OptIntArrayRef bias_sizes_opt,
+      IntArrayRef stride,
+      IntArrayRef padding,
+      IntArrayRef dilation,
+      bool transposed,
+      IntArrayRef output_padding,
+      int64_t groups,
+      std::array<bool, 3> output_mask_a,
+      Tensor& grad_input,
+      Tensor& grad_weight,
+      Tensor& grad_bias) {
+#ifndef USE_ATEN_LIB
+    ArrayRef<bool> output_mask(output_mask_a.data(), output_mask_a.size());
+#else
+    std::array<bool, 3> output_mask = output_mask_a;
+#endif
+    return torch::executor::aten::convolution_backward_outf(
+        context_,
+        grad_output,
+        input,
+        weight,
+        bias_sizes_opt,
+        stride,
+        padding,
+        dilation,
+        transposed,
+        output_padding,
+        groups,
+        output_mask,
+        grad_input,
+        grad_weight,
+        grad_bias);
+  }
+};
+
+TEST_F(OpConvolutionBackwardOutTest, SmokeTest) {
+  TensorFactory<ScalarType::Float> tf;
+
+  std::vector<float> grad_output_data = {
+      10, 12, 87, 13, 34, 87, 55, 22, 48, 33, 29, 38, 60, 49, 88, 30,
+      99, 19, 42, 37, 61, 31, 33, 58, 38, 23, 2,  33, 3,  21, 32, 2,
+      30, 72, 10, 67, 92, 19, 11, 16, 65, 37, 60, 74, 4,  19, 45, 37};
+  std::vector<float> input_data = {
+      9,  89, 45, 39, 25, 2,  97, 55, 80, 24, 18, 33, 28, 89, 19, 16, 19, 33,
+      69, 61, 34, 84, 58, 30, 33, 18, 75, 30, 6,  33, 42, 10, 80, 41, 66, 64,
+      47, 51, 67, 62, 58, 10, 97, 71, 24, 44, 84, 34, 33, 54, 8,  73, 90, 15,
+      21, 92, 55, 22, 56, 12, 10, 63, 32, 76, 65, 38, 95, 92, 22, 15, 37, 12,
+      67, 14, 60, 44, 73, 74, 23, 4,  56, 64, 88, 90, 82, 32, 91, 3,  6,  87,
+      55, 95, 7,  14, 24, 69, 52, 44, 14, 37, 75, 52, 37, 40, 25, 54, 4,  15,
+      97, 51, 46, 28, 65, 95, 50, 82, 23, 39, 50, 55, 97, 52, 91, 16, 19, 49,
+      61, 50, 42, 47, 87, 99, 9,  60, 22, 71, 47, 17, 0,  80, 28, 88, 93, 43,
+      65, 25, 88, 67, 21, 89, 24, 81, 3,  71, 20, 34, 17, 17, 94, 10, 82, 25,
+      10, 11, 7,  28, 77, 39, 74, 79, 17, 40, 67, 54, 49, 54, 21, 89, 17, 7,
+      52, 64, 68, 80, 7,  72, 44, 35, 92, 47, 4,  13, 10, 43, 64, 66, 83, 49,
+      81, 78, 58, 22, 86, 48, 35, 64, 98, 79, 8,  52, 56, 23, 38, 74, 16, 63,
+      51, 70, 44, 28, 43, 13, 51, 85, 42, 29, 64, 26, 54, 91, 9,  96, 41, 56,
+      7,  52, 27, 22, 69, 13, 8,  20, 22, 49, 66, 98, 77, 42, 54, 38, 70, 83,
+      13, 8,  21, 56, 78, 37, 28, 69, 42, 30, 91, 5,  28, 15, 20, 14, 16, 39,
+      95, 66, 4,  72, 52, 35, 54, 93, 87, 77, 3,  49, 82, 70, 84, 3,  73, 99,
+      32, 95, 58, 65, 32, 75, 34, 22, 12, 84, 63, 72, 85, 66, 63, 27, 3,  73,
+      45, 37, 61, 52, 41, 16, 37, 14, 80, 17, 48, 8,  87, 98, 69, 63, 92, 68,
+      42, 63, 5,  22, 66, 91, 74, 11, 17, 45, 45, 33, 40, 85, 26, 75, 73, 81,
+      54, 27, 80, 1,  44, 66, 10, 21, 15, 10, 76, 96, 0,  43, 39, 3,  57, 79,
+      45, 64, 58, 92, 44, 42, 7,  28, 94, 4,  8,  22, 22, 31, 75, 44, 3,  70,
+      83, 72, 87, 12, 20, 55, 84, 31, 50, 34, 25, 49, 29, 71, 57, 97, 25, 82,
+      84, 42, 86, 41, 54, 92, 34, 30, 52, 34, 84, 25, 54, 37, 38, 26, 76, 82,
+      34, 14, 85, 28, 93, 9};
+  std::vector<float> weight_data = {
+      2,  54, 9,  37, 0,  47, 70, 9,  84,  69, 56, 79, 25, 35, 54, 13,
+      65, 46, 38, 28, 74, 27, 66, 61, 20,  60, 62, 58, 15, 44, 75, 55,
+      7,  52, 13, 36, 39, 64, 62, 45, 100, 6,  79, 63, 63, 52, 37, 60,
+      78, 12, 69, 2,  74, 56, 93, 39, 62,  22, 55, 67, 68, 74, 12, 69,
+      15, 73, 28, 70, 86, 20, 90, 49, 52,  26, 58, 2,  82, 17, 70, 55,
+      54, 83, 70, 11, 27, 9,  5,  42, 34,  62, 29, 94, 69, 81, 54, 4};
+  std::vector<float> expected_grad_input_data = {
+      1134,  7578,  686,   2682,  0, 4148,  7136,  2406,  8698, 0,
+      3759,  6003,  2163,  2395,  0, 2929,  5830,  3469,  6955, 0,
+      720,   6201,  495,   2063,  0, 5260,  5989,  3060,  7079, 0,
+      9690,  3423,  3385,  1932,  0, 7644,  8499,  1323,  2613, 0,
+      4334,  6624,  8532,  9719,  0, 5496,  8601,  1157,  2215, 0,
+      4676,  7600,  6524,  10069, 0, 4047,  6117,  1612,  2567, 0,
+      5931,  5651,  5669,  6623,  0, 7674,  3291,  2748,  1654, 0,
+      10455, 4290,  4145,  796,   0, 9835,  5483,  11649, 5952, 0,
+      7098,  5460,  3101,  2443,  0, 7788,  5909,  8582,  6298, 0,
+      9462,  4845,  3041,  2067,  0, 7038,  6336,  10438, 6377, 0,
+      7518,  8187,  2079,  2773,  0, 10036, 2642,  3952,  1166, 0,
+      16014, 2250,  10025, 1908,  0, 9610,  298,   3868,  122,  0,
+      16629, 4338,  11335, 3527,  0, 11514, 5965,  4762,  2207, 0,
+      18552, 10755, 13309, 5996,  0, 12454, 6787,  4960,  2875, 0,
+      8750,  6999,  3534,  3233,  0, 14160, 9399,  9595,  8922, 0,
+      9110,  6567,  3820,  2351,  0, 12969, 11814, 9436,  5870, 0,
+      7631,  7061,  2877,  2499,  0, 8553,  13527, 3631,  6863, 0,
+      1361,  8634,  515,   3372,  0, 3394,  10206, 1504,  4112, 0,
+      5505,  17421, 4702,  11891, 0, 4233,  11894, 1739,  5014, 0,
+      11787, 14634, 8981,  10759, 0, 11777, 6701,  4719,  3111, 0,
+      18459, 7761,  12044, 7627,  0, 11214, 4556,  4374,  1594, 0,
+      604,   1908,  1506,  6102,  0, 2532,  4024,  1713,  6121, 0,
+      1878,  1814,  4761,  5397,  0, 1127,  3885,  4373,  5832, 0,
+      450,   1414,  1080,  4719,  0, 5210,  2683,  2765,  4252, 0,
+      2390,  1668,  7710,  4257,  0, 378,   1698,  3276,  6021, 0,
+      2866,  4881,  3547,  6822,  0, 502,   1238,  2784,  5199, 0,
+      2496,  3975,  2700,  5004,  0, 1220,  1990,  3633,  5763, 0,
+      4501,  2679,  4504,  5412,  0, 1968,  1376,  6246,  3669, 0,
+      3130,  272,   9345,  1950,  0, 5167,  3278,  9097,  2138, 0,
+      2446,  1946,  6942,  5460,  0, 5732,  3404,  7919,  5534, 0,
+      2038,  1614,  6978,  4635,  0, 4544,  4839,  7367,  5574, 0,
+      1242,  1922,  4842,  6333,  0, 1066,  236,   2236,  686,  0,
+      17238, 2254,  10413, 1592,  0, 991,   30,    2206,  70,   0,
+      18823, 6392,  12173, 2470,  0, 1142,  684,   2742,  1219, 0,
+      21256, 11293, 12719, 7512,  0, 1303,  649,   2818,  1669, 0,
+      898,   574,   2018,  1929,  0, 15720, 11989, 10517, 5972, 0,
+      885,   781,   2210,  1281,  0, 14601, 12198, 7915,  4958, 0,
+      856,   850,   1601,  1355,  0, 7039,  14083, 4113,  7490, 0,
+      152,   927,   287,   1902,  0, 301,   1051,  886,   2346, 0,
+      6821,  19615, 4491,  13281, 0, 424,   1146,  999,   2906, 0,
+      15177, 15480, 8849,  12442, 0, 1222,  544,   2687,  1859, 0,
+      20215, 9693,  11441, 4964,  0, 1206,  555,   2466,  860,  0};
+  std::vector<float> expected_grad_weight_data = {
+      9246,  22073, 12431, 19714, 11179, 19032, 8458,  6495,  18707, 13830,
+      20445, 17089, 17124, 18710, 11827, 17236, 16824, 9008,  14086, 18834,
+      17419, 16759, 13152, 9339,  13801, 20888, 13976, 27277, 13010, 23949,
+      9838,  11220, 17658, 15019, 25337, 17583, 13270, 21754, 16908, 20563,
+      20732, 13413, 20868, 27521, 19537, 21170, 15888, 10034, 19195, 16370,
+      40243, 25890, 40472, 30460, 21228, 21625, 13289, 24435, 19876, 29816,
+      24188, 23619, 13752, 16251, 18741, 19368, 24517, 34261, 27054, 31257,
+      21238, 18909, 15776, 16881, 34604, 22534, 28101, 23834, 18479, 16469,
+      12852, 16551, 14204, 29983, 20167, 24150, 14281, 17501, 15897, 16019,
+      21661, 32765, 23874, 26527, 20463, 18661};
+  std::vector<float> expected_grad_bias_data = {363, 438, 585, 501};
+
+  auto grad_output = tf.make({2, 4, 3, 2}, grad_output_data);
+  auto input = tf.make({2, 6, 7, 5}, input_data);
+  auto weight = tf.make({4, 3, 4, 2}, weight_data);
+  int64_t bias_sizes[1] = {4};
+  int64_t stride[2] = {1, 2};
+  int64_t padding[2] = {1, 0};
+  int64_t dilation[2] = {2, 1};
+  bool transposed = false;
+  int64_t output_padding[2] = {0, 0};
+  int64_t groups = 2;
+  std::array<bool, 3> output_mask_a = {true, true, true};
+  auto grad_input = tf.zeros({2, 6, 7, 5});
+  auto grad_weight = tf.zeros({4, 3, 4, 2});
+  auto grad_bias = tf.zeros({4});
+
+  op_convolution_backward_out(
+      grad_output,
+      input,
+      weight,
+      IntArrayRef{bias_sizes, 1},
+      IntArrayRef{stride, 2},
+      IntArrayRef{padding, 2},
+      IntArrayRef{dilation, 2},
+      transposed,
+      IntArrayRef{output_padding, 2},
+      groups,
+      output_mask_a,
+      grad_input,
+      grad_weight,
+      grad_bias);
+
+  auto expected_grad_input = tf.make({2, 6, 7, 5}, expected_grad_input_data);
+  auto expected_grad_weight = tf.make({4, 3, 4, 2}, expected_grad_weight_data);
+  auto expected_grad_bias = tf.make({4}, expected_grad_bias_data);
+
+  EXPECT_TENSOR_CLOSE(grad_input, expected_grad_input);
+  EXPECT_TENSOR_CLOSE(grad_weight, expected_grad_weight);
+  EXPECT_TENSOR_CLOSE(grad_bias, expected_grad_bias);
+}
diff --git a/kernels/test/op_copy_test.cpp b/kernels/test/op_copy_test.cpp
index 82332f85eb..007b10a763 100644
--- a/kernels/test/op_copy_test.cpp
+++ b/kernels/test/op_copy_test.cpp
@@ -125,13 +125,13 @@ class OpCopyInplaceTest : public OperatorTest {
 // regular test for copy.out
 TEST_F(OpCopyTest, AllRealDtypesSupported) {
 #define TEST_ENTRY(ctype, dtype) test_dtype<ctype, ScalarType::dtype>();
-  ET_FORALL_REAL_TYPES(TEST_ENTRY);
+  ET_FORALL_REALHBF16_TYPES(TEST_ENTRY);
 #undef TEST_ENTRY
 }
 
 TEST_F(OpCopyTest, EmptyInputSupported) {
 #define TEST_ENTRY(ctype, dtype) test_empty_input<ctype, ScalarType::dtype>();
-  ET_FORALL_REAL_TYPES_AND(Bool, TEST_ENTRY);
+  ET_FORALL_REALHBF16_TYPES(TEST_ENTRY);
 #undef TEST_ENTRY
 }
 
diff --git a/kernels/test/op_diagonal_copy_test.cpp b/kernels/test/op_diagonal_copy_test.cpp
index 71f2839db7..5ad6906653 100644
--- a/kernels/test/op_diagonal_copy_test.cpp
+++ b/kernels/test/op_diagonal_copy_test.cpp
@@ -27,7 +27,7 @@ Tensor& op_diagonal_copy_out(
     int64_t dim1,
     int64_t dim2,
     Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::diagonal_copy_outf(
       context, input, offset, dim1, dim2, out);
 }
diff --git a/kernels/test/op_div_test.cpp b/kernels/test/op_div_test.cpp
index bb302b6314..df7fdaf2ec 100644
--- a/kernels/test/op_div_test.cpp
+++ b/kernels/test/op_div_test.cpp
@@ -229,6 +229,31 @@ TEST_F(OpDivOutTest, BroadcastScalarSupported2) {
 
   Tensor ret = tf.make({3, 1, 1}, {4, 2, 1});
   EXPECT_TENSOR_EQ(out, ret);
+
+  std::swap(a, b);
+  out = tf.zeros({3, 1, 1});
+  op_div_out(a, b, out);
+  ret = tf.make({3, 1, 1}, {0.25, 0.5, 1});
+  EXPECT_TENSOR_EQ(out, ret);
+}
+
+TEST_F(OpDivOutTest, BroadcastScalarRank0Supported) {
+  TensorFactory<ScalarType::Float> tf;
+
+  Tensor a = tf.make({1}, {8});
+  Tensor b = tf.make({}, {2});
+
+  Tensor out = tf.zeros({1});
+
+  op_div_out(a, b, out);
+
+  Tensor ret = tf.make({1}, {4});
+  EXPECT_TENSOR_EQ(out, ret);
+
+  op_div_out(b, a, out);
+
+  ret = tf.make({1}, {0.25});
+  EXPECT_TENSOR_EQ(out, ret);
 }
 
 TEST_F(OpDivOutTest, BroadcastDimSizeIsOneAB) {
diff --git a/kernels/test/op_expm1_test.cpp b/kernels/test/op_expm1_test.cpp
index 0538e7b6b2..c0d3a22630 100644
--- a/kernels/test/op_expm1_test.cpp
+++ b/kernels/test/op_expm1_test.cpp
@@ -23,7 +23,7 @@ using torch::executor::testing::SupportedFeatures;
 using torch::executor::testing::TensorFactory;
 
 Tensor& op_expm1_out(const Tensor& a, Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::expm1_outf(context, a, out);
 }
 
diff --git a/kernels/test/op_flip_test.cpp b/kernels/test/op_flip_test.cpp
index 36d85d8a1f..01c79a283e 100644
--- a/kernels/test/op_flip_test.cpp
+++ b/kernels/test/op_flip_test.cpp
@@ -22,7 +22,7 @@ using exec_aten::Tensor;
 using torch::executor::testing::TensorFactory;
 
 Tensor& op_flip_out(const Tensor& input, IntArrayRef dims, Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::flip_outf(context, input, dims, out);
 }
 
diff --git a/kernels/test/op_full_test.cpp b/kernels/test/op_full_test.cpp
index 82aaea0333..09885ddd99 100644
--- a/kernels/test/op_full_test.cpp
+++ b/kernels/test/op_full_test.cpp
@@ -38,12 +38,25 @@ class OpFullOutTest : public OperatorTest {
     std::vector<int64_t> size_int64_t(size_int32_t.begin(), size_int32_t.end());
     auto aref = IntArrayRef(size_int64_t.data(), size_int64_t.size());
 
+    // Boolean Scalar
     // Before: `out` consists of 0s.
     Tensor out = tf.zeros(size_int32_t);
+    // After: `out` consists of 1s.
+    op_full_out(aref, true, out);
+    EXPECT_TENSOR_EQ(out, tf.ones(size_int32_t));
 
+    // Integral Scalar
+    // Before: `out` consists of 0s.
+    out = tf.zeros(size_int32_t);
     // After: `out` consists of 1s.
     op_full_out(aref, 1, out);
+    EXPECT_TENSOR_EQ(out, tf.ones(size_int32_t));
 
+    // Floating Point Scalar
+    // Before: `out` consists of 0s.
+    out = tf.zeros(size_int32_t);
+    // After: `out` consists of 1s.
+    op_full_out(aref, 1.0, out);
     EXPECT_TENSOR_EQ(out, tf.ones(size_int32_t));
   }
 };
@@ -57,4 +70,55 @@ class OpFullOutTest : public OperatorTest {
     test_ones_out<ScalarType::DTYPE>({2, 3, 4}); \
   }
 
-ET_FORALL_REAL_TYPES(GENERATE_TEST)
+ET_FORALL_REALH_TYPES(GENERATE_TEST)
+
+TEST_F(OpFullOutTest, ValueOverflow) {
+  if (torch::executor::testing::SupportedFeatures::get()->is_aten) {
+    GTEST_SKIP() << "ATen kernel doesn't handle overflow";
+  }
+  TensorFactory<ScalarType::Byte> tf;
+
+  std::vector<int64_t> sizes_int64_t_vec = {2, 3};
+  std::vector<int32_t> sizes_in32_t_vec = {2, 3};
+  auto sizes = IntArrayRef(sizes_int64_t_vec.data(), sizes_int64_t_vec.size());
+
+  Tensor out = tf.zeros(sizes_in32_t_vec);
+
+  op_full_out(sizes, 1000, out);
+}
+
+TEST_F(OpFullOutTest, HalfSupport) {
+  TensorFactory<ScalarType::Half> tf;
+
+  std::vector<int64_t> sizes_int64_t_vec = {2, 3};
+  std::vector<int32_t> sizes_in32_t_vec = {2, 3};
+  auto sizes = IntArrayRef(sizes_int64_t_vec.data(), sizes_int64_t_vec.size());
+
+  // Boolean Scalar
+  Tensor out = tf.zeros(sizes_in32_t_vec);
+  op_full_out(sizes, true, out);
+  EXPECT_TENSOR_EQ(out, tf.ones(sizes_in32_t_vec));
+
+  // Integral Scalar
+  out = tf.zeros(sizes_in32_t_vec);
+  op_full_out(sizes, 1, out);
+  EXPECT_TENSOR_EQ(out, tf.ones(sizes_in32_t_vec));
+
+  // Floating Point Scalar
+  out = tf.zeros(sizes_in32_t_vec);
+  op_full_out(sizes, 3.1415926535, out);
+  EXPECT_TENSOR_EQ(out, tf.full(sizes_in32_t_vec, 3.1415926535));
+}
+
+TEST_F(OpFullOutTest, ZeroDim) {
+  TensorFactory<ScalarType::Half> tf;
+
+  std::vector<int64_t> sizes_int64_t_vec = {};
+  std::vector<int32_t> sizes_in32_t_vec = {};
+  auto sizes = IntArrayRef(sizes_int64_t_vec.data(), sizes_int64_t_vec.size());
+
+  // Boolean Scalar
+  Tensor out = tf.zeros(sizes_in32_t_vec);
+  op_full_out(sizes, true, out);
+  EXPECT_TENSOR_EQ(out, tf.ones(sizes_in32_t_vec));
+}
diff --git a/kernels/test/op_gather_test.cpp b/kernels/test/op_gather_test.cpp
new file mode 100644
index 0000000000..9d637560ed
--- /dev/null
+++ b/kernels/test/op_gather_test.cpp
@@ -0,0 +1,379 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/kernels/test/FunctionHeaderWrapper.h> // Declares the operator
+#include <executorch/kernels/test/TestUtil.h>
+#include <executorch/kernels/test/supported_features.h>
+#include <executorch/runtime/core/exec_aten/exec_aten.h>
+#include <executorch/runtime/core/exec_aten/testing_util/tensor_factory.h>
+#include <executorch/runtime/core/exec_aten/testing_util/tensor_util.h>
+
+#include <gtest/gtest.h>
+#include <cmath>
+
+using namespace ::testing;
+using exec_aten::Scalar;
+using exec_aten::ScalarType;
+using exec_aten::Tensor;
+using torch::executor::testing::TensorFactory;
+
+class OpGatherOutTest : public OperatorTest {
+ protected:
+  Tensor& op_gather_out(
+      const Tensor& self,
+      int64_t dim,
+      const Tensor& index,
+      bool sparse_grad,
+      Tensor& out) {
+    return torch::executor::aten::gather_outf(
+        context_, self, dim, index, sparse_grad, out);
+  }
+
+  // Common testing for the operator
+  template <ScalarType DATA_DTYPE>
+  void test_gather_out() {
+    TensorFactory<ScalarType::Long> tf_index;
+    TensorFactory<DATA_DTYPE> tf_data;
+    const std::vector<int32_t> sizes = {2, 3};
+    // clang-format off
+    Tensor self = tf_data.make(
+      /*sizes=*/{2, 5},
+      {
+        1, 2, 3, 4, 5,
+        6, 7, 8, 9, 10
+      });
+    // clang-format on
+    Tensor out = tf_data.zeros(sizes);
+    // clang-format off
+    bool sparse_grad = false;
+    Tensor index = tf_index.make(sizes,
+      {
+        0, 1, 0,
+        1, 0, 1,
+      });
+    // clang-format on
+
+    // Valid input should give the expected output
+    op_gather_out(self, 0, index, sparse_grad, out);
+    // clang-format off
+    EXPECT_TENSOR_EQ(
+        out, tf_data.make(
+          sizes,
+          {
+            1, 7, 3,
+            6, 2, 8,
+          }));
+    // clang-format on
+
+    // Valid input should give the expected output
+    op_gather_out(self, 1, index, sparse_grad, out);
+    // clang-format off
+    EXPECT_TENSOR_EQ(
+        out, tf_data.make(sizes,
+        {
+          1, 2, 1,
+          7, 6, 7,
+        }));
+
+    self = tf_data.make(
+        /*sizes=*/{2, 3, 3},
+        {
+          // [0, :, :]
+          1,  2,  3,
+          4,  5,  6,
+          7,  8,  9,
+
+          // [1, :, :]
+          10, 11, 12,
+          13, 14, 15,
+          16, 17, 18
+        });
+    index = tf_index.make(
+      /*sizes=*/{1, 3, 2},
+      {
+        0, 1,
+        1, 2,
+        0, 2
+      });
+    // clang-format on
+    out = tf_data.zeros(/*sizes=*/{1, 3, 2});
+
+    op_gather_out(self, 1, index, sparse_grad, out);
+    // clang-format off
+    EXPECT_TENSOR_EQ(
+        out,
+        tf_data.make(
+            /*sizes=*/{1, 3, 2},
+            {
+              1, 5,
+              4, 8,
+              1, 8,
+            }));
+    // clang-format on
+
+    out = tf_data.zeros(/*sizes=*/{1, 3, 2});
+    op_gather_out(self, 2, index, sparse_grad, out);
+    // clang-format off
+    EXPECT_TENSOR_EQ(
+        out,
+        tf_data.make(
+            /*sizes=*/{1, 3, 2},
+            {
+              1, 2,
+              5, 6,
+              7, 9,
+            }));
+    // clang-format on
+  }
+
+  // Invalid dimensions
+  template <ScalarType DATA_DTYPE>
+  void test_gather_out_invalid_dim() {
+    TensorFactory<ScalarType::Long> tf_index;
+    TensorFactory<DATA_DTYPE> tf_data;
+    // clang-format off
+    Tensor self = tf_data.make(/*sizes=*/{2, 5},
+      {
+        1, 2, 3, 4, 5,
+        6, 7, 8, 9, 10
+      });
+    const std::vector<int32_t> sizes = {2, 3};
+    Tensor index = tf_index.make(sizes,
+      {
+        0, 1, 0,
+        1, 0, 1,
+      });
+    // clang-format on
+    bool sparse_grad = false;
+    Tensor out = tf_data.zeros(sizes);
+
+    // Invalid dim should die
+    ET_EXPECT_KERNEL_FAILURE(
+        context_, op_gather_out(self, -3, index, sparse_grad, out));
+    ET_EXPECT_KERNEL_FAILURE(
+        context_, op_gather_out(self, 2, index, sparse_grad, out));
+
+    // Self and index hsould have same number of dimensions
+    index = tf_index.zeros(/*sizes=*/{2, 2, 2});
+    ET_EXPECT_KERNEL_FAILURE(
+        context_, op_gather_out(self, 0, index, sparse_grad, out));
+
+    // Size of dimension of index should be smaller than the size of that
+    // dimension of self if dimension != dim
+    index = tf_index.zeros(/*sizes=*/{3, 5});
+    ET_EXPECT_KERNEL_FAILURE(
+        context_, op_gather_out(self, 1, index, sparse_grad, out));
+
+    // Index out of bound for self in dim
+    index = tf_index.make(/*sizes=*/{2, 3}, {0, 1, 2, 0, 1, 2});
+    ET_EXPECT_KERNEL_FAILURE(
+        context_, op_gather_out(self, 0, index, sparse_grad, out));
+  }
+
+  void test_dynamic_shape(
+      const std::vector<int32_t>& out_shape,
+      enum torch::executor::TensorShapeDynamism dynamism) {
+    TensorFactory<ScalarType::Int> tf;
+    TensorFactory<ScalarType::Long> tf_index;
+
+    Tensor input = tf.ones({2, 3, 4});
+    Tensor index = tf_index.zeros({2, 3, 4});
+    bool sparse_grad = false;
+    Tensor expected = tf.ones({2, 3, 4});
+    Tensor out = tf.zeros(out_shape, dynamism);
+
+    op_gather_out(input, 2, index, sparse_grad, out);
+    EXPECT_TENSOR_EQ(out, expected);
+  }
+};
+
+TEST_F(OpGatherOutTest, AllValidInputOutputSupport) {
+#define TEST_ENTRY(CTYPE, DTYPE) test_gather_out<ScalarType::DTYPE>();
+  ET_FORALL_REAL_TYPES(TEST_ENTRY);
+#undef TEST_ENTRY
+}
+
+TEST_F(OpGatherOutTest, InfinityAndNANTest) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+  // clang-format off
+  Tensor self = tf_data.make(
+      /*sizes=*/{2, 5},
+      {
+        INFINITY, -INFINITY, NAN,       2.33, 3.14,
+        NAN,      INFINITY,  -INFINITY, 3.14, 2.33
+      });
+  // clang-format on
+  const std::vector<int32_t> sizes = {2, 3};
+  Tensor index = tf_index.make(sizes, {0, 1, 0, 1, 0, 1});
+  bool sparse_grad = false;
+  Tensor out = tf_data.zeros(sizes);
+
+  // Valid input should give the expected output
+  op_gather_out(self, 0, index, sparse_grad, out);
+  // clang-format off
+  EXPECT_TENSOR_CLOSE(
+      out,
+      tf_data.make(sizes,
+      {
+        INFINITY, INFINITY, NAN,
+        NAN, -INFINITY, -INFINITY,
+      }));
+  // clang-format on
+}
+
+TEST_F(OpGatherOutTest, InvalidDimensionsDies) {
+#define TEST_ENTRY(CTYPE, DTYPE) \
+  test_gather_out_invalid_dim<ScalarType::DTYPE>();
+  ET_FORALL_REAL_TYPES(TEST_ENTRY);
+#undef TEST_ENTRY
+}
+
+TEST_F(OpGatherOutTest, MismatchedInputDtypesDies) {
+  TensorFactory<ScalarType::Byte> tf_byte;
+  TensorFactory<ScalarType::Char> tf_char;
+  TensorFactory<ScalarType::Long> tf_long;
+
+  Tensor self = tf_char.make({2, 5}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10});
+  const std::vector<int32_t> sizes = {2, 3};
+  Tensor index = tf_byte.make(sizes, {0, 1, 0, 0, 1, 0});
+  bool sparse_grad = false;
+  Tensor out = tf_char.zeros(sizes);
+
+  // Types other than long for index should die
+  ET_EXPECT_KERNEL_FAILURE(
+      context_, op_gather_out(self, 0, index, sparse_grad, out));
+
+  // Mismatched dtype of self and out should die
+  self = tf_byte.make(/*sizes=*/{2, 5}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10});
+  index = tf_long.make(sizes, {0, 1, 0, 1, 0, 1});
+  out = tf_char.zeros(sizes);
+  ET_EXPECT_KERNEL_FAILURE(
+      context_, op_gather_out(self, 0, index, sparse_grad, out));
+}
+
+TEST_F(OpGatherOutTest, DynamicShapeUpperBoundSameAsExpected) {
+  test_dynamic_shape(
+      {2, 3, 4}, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND);
+}
+
+TEST_F(OpGatherOutTest, DynamicShapeUpperBoundLargerThanExpected) {
+  test_dynamic_shape(
+      {10, 10, 10}, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND);
+}
+
+TEST_F(OpGatherOutTest, DynamicShapeUnbound) {
+  if (!torch::executor::testing::SupportedFeatures::get()->output_resize) {
+    GTEST_SKIP() << "Dynamic shape not supported";
+  }
+  test_dynamic_shape(
+      {1, 1, 1}, torch::executor::TensorShapeDynamism::DYNAMIC_UNBOUND);
+}
+
+TEST_F(OpGatherOutTest, EmptyIndex) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.ones({2, 5});
+  const std::vector<int32_t> sizes = {2, 0, 3};
+  Tensor index = tf_index.zeros(sizes);
+  bool sparse_grad = false;
+  Tensor out = tf_data.zeros(sizes);
+  op_gather_out(self, 0, index, sparse_grad, out);
+  EXPECT_TENSOR_CLOSE(out, tf_data.zeros(sizes));
+}
+
+TEST_F(OpGatherOutTest, ValidZeroDim) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.make({}, {3.14});
+  Tensor index = tf_index.zeros({});
+  bool sparse_grad = false;
+  Tensor out = tf_data.zeros({});
+  op_gather_out(self, 0, index, sparse_grad, out);
+  EXPECT_TENSOR_CLOSE(out, tf_data.make({}, {3.14}));
+}
+
+TEST_F(OpGatherOutTest, InvalidZeroDimInput) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.ones({});
+  const std::vector<int32_t> sizes = {2, 3};
+  Tensor index = tf_index.make(sizes, {0, 0, 0, 0, 0, 0});
+  bool sparse_grad = false;
+  Tensor out = tf_data.zeros(sizes);
+  ET_EXPECT_KERNEL_FAILURE(
+      context_, op_gather_out(self, 0, index, sparse_grad, out));
+}
+
+TEST_F(OpGatherOutTest, InvalidZeroDimIndex) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.make({2, 3}, {1, 2, 3, 4, 5, 6});
+  const std::vector<int32_t> sizes = {};
+  Tensor index = tf_index.make(sizes, {2});
+  bool sparse_grad = false;
+  Tensor out = tf_data.zeros(sizes);
+  ET_EXPECT_KERNEL_FAILURE(
+      context_, op_gather_out(self, 1, index, sparse_grad, out));
+}
+
+TEST_F(OpGatherOutTest, ValidZeroDimInputAndOneDimIndex) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.make({}, {3.14});
+  const std::vector<int32_t> sizes = {3};
+  Tensor index = tf_index.make(sizes, {0, 0, 0});
+  bool sparse_grad = false;
+  Tensor out = tf_data.make({3}, {2.71, 2.71, 2.71});
+  op_gather_out(self, 0, index, sparse_grad, out);
+  EXPECT_TENSOR_CLOSE(out, tf_data.make({3}, {3.14, 3.14, 3.14}));
+}
+
+TEST_F(OpGatherOutTest, ValidOneDimInputAndZeroDimIndex) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.make({3}, {10, 20, 30});
+  const std::vector<int32_t> sizes = {};
+  Tensor index = tf_index.make(sizes, {2});
+  bool sparse_grad = false;
+  Tensor out = tf_data.make(sizes, {1729});
+  op_gather_out(self, 0, index, sparse_grad, out);
+  EXPECT_TENSOR_CLOSE(out, tf_data.make({}, {30}));
+}
+
+TEST_F(OpGatherOutTest, InvalidZeroDimInputAndOneDimIndex) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.make({}, {3.14});
+  const std::vector<int32_t> sizes = {3};
+  Tensor index = tf_index.make(sizes, {10, 100, 1000});
+  bool sparse_grad = false;
+  Tensor out = tf_data.make({3}, {2.71, 2.71, 2.71});
+  ET_EXPECT_KERNEL_FAILURE(
+      context_, op_gather_out(self, 0, index, sparse_grad, out));
+}
+
+TEST_F(OpGatherOutTest, InvalidOneDimInputAndZeroDimIndex) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.make({3}, {10, 20, 30});
+  const std::vector<int32_t> sizes = {};
+  Tensor index = tf_index.make(sizes, {100});
+  bool sparse_grad = false;
+  Tensor out = tf_data.make(sizes, {1729});
+  ET_EXPECT_KERNEL_FAILURE(
+      context_, op_gather_out(self, 0, index, sparse_grad, out));
+}
diff --git a/kernels/test/op_ge_test.cpp b/kernels/test/op_ge_test.cpp
index 5e7414a735..21f21dfbfd 100644
--- a/kernels/test/op_ge_test.cpp
+++ b/kernels/test/op_ge_test.cpp
@@ -15,10 +15,10 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-using exec_aten::RuntimeContext;
 using exec_aten::Scalar;
 using exec_aten::ScalarType;
 using exec_aten::Tensor;
+using executorch::runtime::KernelRuntimeContext;
 using torch::executor::testing::TensorFactory;
 
 class OpGeTensorOutTest : public OperatorTest {
diff --git a/kernels/test/op_gt_test.cpp b/kernels/test/op_gt_test.cpp
index ae94e2109f..140c08ae27 100644
--- a/kernels/test/op_gt_test.cpp
+++ b/kernels/test/op_gt_test.cpp
@@ -15,10 +15,10 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-using exec_aten::RuntimeContext;
 using exec_aten::Scalar;
 using exec_aten::ScalarType;
 using exec_aten::Tensor;
+using executorch::runtime::KernelRuntimeContext;
 using torch::executor::testing::TensorFactory;
 
 class OpGtScalarOutTest : public OperatorTest {
diff --git a/kernels/test/op_le_test.cpp b/kernels/test/op_le_test.cpp
index afbe42ab7e..ab437327ba 100644
--- a/kernels/test/op_le_test.cpp
+++ b/kernels/test/op_le_test.cpp
@@ -15,10 +15,10 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-using exec_aten::RuntimeContext;
 using exec_aten::Scalar;
 using exec_aten::ScalarType;
 using exec_aten::Tensor;
+using executorch::runtime::KernelRuntimeContext;
 using torch::executor::testing::TensorFactory;
 
 class OpLeScalarOutTest : public OperatorTest {
diff --git a/kernels/test/op_linear_test.cpp b/kernels/test/op_linear_test.cpp
new file mode 100644
index 0000000000..47f8925af0
--- /dev/null
+++ b/kernels/test/op_linear_test.cpp
@@ -0,0 +1,301 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/kernels/test/FunctionHeaderWrapper.h> // Declares the operator
+#include <executorch/kernels/test/TestUtil.h>
+#include <executorch/kernels/test/supported_features.h>
+#include <executorch/runtime/core/exec_aten/exec_aten.h>
+#include <executorch/runtime/core/exec_aten/testing_util/tensor_factory.h>
+#include <executorch/runtime/core/exec_aten/testing_util/tensor_util.h>
+#include <executorch/runtime/core/exec_aten/util/scalar_type_util.h>
+#include <executorch/runtime/platform/runtime.h>
+
+#include <gtest/gtest.h>
+#include <limits>
+
+using namespace ::testing;
+using exec_aten::ArrayRef;
+using exec_aten::Scalar;
+using exec_aten::ScalarType;
+using exec_aten::Tensor;
+using torch::executor::testing::TensorFactory;
+
+class OpLinearOutTest : public OperatorTest {
+ protected:
+  Tensor& op_linear_out(const Tensor& self, const Tensor& mat2, Tensor& out) {
+    return torch::executor::aten::linear_outf(context_, self, mat2, {}, out);
+  }
+
+  template <class CTYPE, exec_aten::ScalarType DTYPE>
+  void test_dtype() {
+    TensorFactory<DTYPE> tf;
+
+    if (torch::executor::testing::SupportedFeatures::get()->is_aten) {
+      if (DTYPE == ScalarType::Half) {
+        GTEST_SKIP()
+            << "skip Half because torch::executor::aten::mm_out does not support Half";
+        return;
+      }
+    }
+
+    // matmul gives 32 * 2 * 3 = 192
+    Tensor x = tf.full({3, 32}, 2);
+    Tensor y = tf.full({5, 32}, 3);
+
+    // Output shape should be (3, 5)
+    Tensor out = tf.zeros({3, 5});
+
+    op_linear_out(x, y, out);
+
+    Tensor expected = tf.full({3, 5}, 192);
+
+    EXPECT_TENSOR_EQ(out, expected);
+  }
+};
+
+TEST_F(OpLinearOutTest, OutputDim) {
+  TensorFactory<ScalarType::Int> tf;
+
+  // 3 tensors with compatible dimensions: (3, 5), (3, 4) and (4, 5).
+  Tensor x = tf.ones({3, 4});
+  Tensor y = tf.ones({5, 4});
+  Tensor out = tf.zeros({3, 5});
+
+  Tensor ret = op_linear_out(x, y, out);
+
+  // Should always return the provided out Tensor.
+  EXPECT_TENSOR_EQ(ret, out);
+
+  // Expected tensor, filled with 4.
+  Tensor expected = tf.full({3, 5}, 4);
+
+  EXPECT_TENSOR_EQ(out, expected);
+}
+
+/// A generic smoke test that works for any dtype that supports ones() and
+/// zeros().
+TEST_F(OpLinearOutTest, AllDtypesSupported) {
+#define TEST_ENTRY(ctype, dtype) test_dtype<ctype, ScalarType::dtype>();
+  ET_FORALL_REALHBF16_TYPES(TEST_ENTRY);
+#undef TEST_ENTRY
+  // TODO: Also add tests for half, complex, quantized, and other types. Easiest
+  // way to do that would be to make TensorFactory support zeros() and ones()
+  // for those types.
+}
+
+TEST_F(OpLinearOutTest, EmptyInputWithEmptyOutTensorPasses) {
+  TensorFactory<ScalarType::Float> tf;
+
+  // Empty input matrices
+  Tensor x = tf.make({0, 3}, {});
+  Tensor y = tf.make({0, 3}, {});
+
+  // Output matrix is also empty
+  Tensor out = tf.make({0, 0}, {});
+
+  Tensor expected = tf.make({0, 0}, {});
+
+  EXPECT_TENSOR_EQ(op_linear_out(x, y, out), expected);
+}
+
+TEST_F(OpLinearOutTest, InfinityTensorPasses) {
+  TensorFactory<ScalarType::Float> tff;
+
+  Tensor x = tff.full({3, 4}, std::numeric_limits<float>::infinity());
+  Tensor y = tff.full({5, 4}, 3);
+
+  // Output shape should be (3, 5)
+  Tensor out = tff.zeros({3, 5});
+
+  Tensor expected = tff.full({3, 5}, std::numeric_limits<float>::infinity());
+
+  EXPECT_TENSOR_EQ(op_linear_out(x, y, out), expected);
+}
+
+TEST_F(OpLinearOutTest, MismatchedDimensionsDies) {
+  TensorFactory<ScalarType::Int> tf;
+
+  Tensor x = tf.full({2, 2}, 3);
+
+  Tensor wrong_y = tf.full({1, 3}, 1);
+  Tensor right_y = tf.full({2, 2}, 1);
+
+  // Make an empty out tensor and demonstrate that it's empty.
+  Tensor out = tf.full({2, 2}, 0);
+
+  Tensor expected = tf.full({2, 2}, 6);
+  ET_EXPECT_KERNEL_FAILURE(context_, op_linear_out(x, wrong_y, out));
+
+  EXPECT_TENSOR_EQ(op_linear_out(x, right_y, out), expected);
+}
+
+TEST_F(OpLinearOutTest, MismatchedDimensionSizeDies) {
+  if (torch::executor::testing::SupportedFeatures::get()->is_aten) {
+    GTEST_SKIP() << "ATen kernel can handle mismatched dimension size";
+  }
+  TensorFactory<ScalarType::Int> tf;
+  Tensor x = tf.full({2, 2}, 3);
+
+  // wrong_y has incompatible dim
+  Tensor wrong_y = tf.full({2, 2, 2}, 1);
+  Tensor right_y = tf.full({2, 2}, 1);
+
+  // wrong_out has incompatible dim
+  Tensor right_out = tf.ones({2, 2});
+  Tensor wrong_out = tf.ones({2, 2, 3});
+
+  ET_EXPECT_KERNEL_FAILURE(context_, op_linear_out(x, right_y, wrong_out));
+  ET_EXPECT_KERNEL_FAILURE(context_, op_linear_out(x, wrong_y, right_out));
+}
+
+TEST_F(OpLinearOutTest, WrongOutShapeDies) {
+  if (torch::executor::testing::SupportedFeatures::get()->is_aten) {
+    GTEST_SKIP() << "ATen kernel can handle wrong out shape";
+  }
+  TensorFactory<ScalarType::Int> tf;
+  Tensor x = tf.ones({10, 3});
+
+  Tensor y = tf.ones({4, 3});
+
+  // wrong_out has incompatible shape
+  Tensor right_out = tf.ones({10, 4});
+  Tensor wrong_out = tf.ones({7, 5});
+
+  ET_EXPECT_KERNEL_FAILURE(context_, op_linear_out(x, y, wrong_out));
+
+  EXPECT_TENSOR_EQ(op_linear_out(x, y, right_out), tf.full({10, 4}, 3));
+}
+
+TEST_F(OpLinearOutTest, DynamicShapeUpperBoundSameAsExpected) {
+  TensorFactory<ScalarType::Float> tf;
+
+  Tensor x = tf.make(
+      {3, 2},
+      {0.17412060499191284,
+       0.34793388843536377,
+       0.8187907934188843,
+       0.9979893565177917,
+       0.7049332857131958,
+       0.4255824089050293});
+  Tensor y = tf.make(
+      {4, 2},
+      {0.8071839213371277,
+       0.31638312339782715,
+       0.13667285442352295,
+       0.3691965937614441,
+       0.9002121090888977,
+       0.09420186281204224,
+       0.9070476293563843,
+       0.9310881495475769});
+  Tensor expected_result = tf.make(
+      {3, 4},
+      {0.2506277561187744,
+       0.15225356817245483,
+       0.18952149152755737,
+       0.48189279437065125,
+       0.976661741733551,
+       0.480360746383667,
+       0.8310978412628174,
+       1.6718982458114624,
+       0.703657865524292,
+       0.2534688115119934,
+       0.6746801733970642,
+       1.0356627702713013});
+
+  Tensor out =
+      tf.zeros({3, 4}, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND);
+  Tensor ret = op_linear_out(x, y, out);
+  EXPECT_TENSOR_CLOSE(out, expected_result);
+}
+
+TEST_F(OpLinearOutTest, DynamicShapeUpperBoundLargerThanExpected) {
+  TensorFactory<ScalarType::Float> tf;
+
+  Tensor x = tf.make(
+      {3, 2},
+      {0.17412060499191284,
+       0.34793388843536377,
+       0.8187907934188843,
+       0.9979893565177917,
+       0.7049332857131958,
+       0.4255824089050293});
+  Tensor y = tf.make(
+      {4, 2},
+      {0.8071839213371277,
+       0.31638312339782715,
+       0.13667285442352295,
+       0.3691965937614441,
+       0.9002121090888977,
+       0.09420186281204224,
+       0.9070476293563843,
+       0.9310881495475769});
+  Tensor expected_result = tf.make(
+      {3, 4},
+      {0.2506277561187744,
+       0.15225356817245483,
+       0.18952149152755737,
+       0.48189279437065125,
+       0.976661741733551,
+       0.480360746383667,
+       0.8310978412628174,
+       1.6718982458114624,
+       0.703657865524292,
+       0.2534688115119934,
+       0.6746801733970642,
+       1.0356627702713013});
+
+  Tensor out =
+      tf.zeros({10, 10}, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND);
+  Tensor ret = op_linear_out(x, y, out);
+  EXPECT_TENSOR_CLOSE(out, expected_result);
+}
+
+TEST_F(OpLinearOutTest, DynamicShapeUnbound) {
+  GTEST_SKIP() << "Dynamic shape not supported";
+  TensorFactory<ScalarType::Float> tf;
+
+  Tensor x = tf.make(
+      {3, 2},
+      {0.17412060499191284,
+       0.34793388843536377,
+       0.8187907934188843,
+       0.9979893565177917,
+       0.7049332857131958,
+       0.4255824089050293});
+  Tensor y = tf.make(
+      {4, 2},
+      {0.8071839213371277,
+       0.31638312339782715,
+       0.13667285442352295,
+       0.3691965937614441,
+       0.9002121090888977,
+       0.09420186281204224,
+       0.9070476293563843,
+       0.9310881495475769});
+  Tensor expected_result = tf.make(
+      {3, 4},
+      {0.2506277561187744,
+       0.15225356817245483,
+       0.18952149152755737,
+       0.48189279437065125,
+       0.976661741733551,
+       0.480360746383667,
+       0.8310978412628174,
+       1.6718982458114624,
+       0.703657865524292,
+       0.2534688115119934,
+       0.6746801733970642,
+       1.0356627702713013});
+
+  Tensor out =
+      tf.zeros({1, 1}, torch::executor::TensorShapeDynamism::DYNAMIC_UNBOUND);
+  Tensor ret = op_linear_out(x, y, out);
+  EXPECT_TENSOR_CLOSE(out, expected_result);
+}
+
+// TODO: support and test bias
diff --git a/kernels/test/op_log10_test.cpp b/kernels/test/op_log10_test.cpp
index 3a030d9e20..d4e1410049 100644
--- a/kernels/test/op_log10_test.cpp
+++ b/kernels/test/op_log10_test.cpp
@@ -23,7 +23,7 @@ using torch::executor::testing::SupportedFeatures;
 using torch::executor::testing::TensorFactory;
 
 Tensor& op_log10_out(const Tensor& a, Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::log10_outf(context, a, out);
 }
 
diff --git a/kernels/test/op_log1p_test.cpp b/kernels/test/op_log1p_test.cpp
index dd6dc9981d..3d4b0f1c56 100644
--- a/kernels/test/op_log1p_test.cpp
+++ b/kernels/test/op_log1p_test.cpp
@@ -23,7 +23,7 @@ using torch::executor::testing::SupportedFeatures;
 using torch::executor::testing::TensorFactory;
 
 Tensor& op_log1p_out(const Tensor& a, Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::log1p_outf(context, a, out);
 }
 
diff --git a/kernels/test/op_log2_test.cpp b/kernels/test/op_log2_test.cpp
index 17bc0a6388..cbbd8f6a98 100644
--- a/kernels/test/op_log2_test.cpp
+++ b/kernels/test/op_log2_test.cpp
@@ -23,7 +23,7 @@ using torch::executor::testing::SupportedFeatures;
 using torch::executor::testing::TensorFactory;
 
 Tensor& op_log2_out(const Tensor& a, Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::log2_outf(context, a, out);
 }
 
diff --git a/kernels/test/op_lt_test.cpp b/kernels/test/op_lt_test.cpp
index 34ff9c93b6..45767bcd0b 100644
--- a/kernels/test/op_lt_test.cpp
+++ b/kernels/test/op_lt_test.cpp
@@ -15,10 +15,10 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-using exec_aten::RuntimeContext;
 using exec_aten::Scalar;
 using exec_aten::ScalarType;
 using exec_aten::Tensor;
+using executorch::runtime::KernelRuntimeContext;
 using torch::executor::testing::TensorFactory;
 
 class OpLtScalarOutTest : public OperatorTest {
diff --git a/kernels/test/op_maximum_test.cpp b/kernels/test/op_maximum_test.cpp
index 92e6121c3f..254725d634 100644
--- a/kernels/test/op_maximum_test.cpp
+++ b/kernels/test/op_maximum_test.cpp
@@ -21,7 +21,7 @@ using exec_aten::Tensor;
 using torch::executor::testing::TensorFactory;
 
 Tensor& op_maximum_out(const Tensor& self, const Tensor& other, Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::maximum_outf(context, self, other, out);
 }
 
diff --git a/kernels/test/op_mm_test.cpp b/kernels/test/op_mm_test.cpp
index 70d4b5ff0f..c05792523f 100644
--- a/kernels/test/op_mm_test.cpp
+++ b/kernels/test/op_mm_test.cpp
@@ -81,7 +81,7 @@ TEST_F(OpMmOutTest, OutputDim) {
 /// zeros().
 TEST_F(OpMmOutTest, AllDtypesSupported) {
 #define TEST_ENTRY(ctype, dtype) test_dtype<ctype, ScalarType::dtype>();
-  ET_FORALL_REAL_TYPES_AND(Half, TEST_ENTRY);
+  ET_FORALL_REALHBF16_TYPES(TEST_ENTRY);
 #undef TEST_ENTRY
   // TODO: Also add tests for half, complex, quantized, and other types. Easiest
   // way to do that would be to make TensorFactory support zeros() and ones()
diff --git a/kernels/test/op_mul_test.cpp b/kernels/test/op_mul_test.cpp
index 029a74ca94..f8205ea601 100644
--- a/kernels/test/op_mul_test.cpp
+++ b/kernels/test/op_mul_test.cpp
@@ -72,7 +72,7 @@ class OpMulOutTest : public OperatorTest {
 #define ENUMERATE_TEST_ENTRY(ctype, dtype) \
   test_mul_enumerate_out_types<DTYPE_A, ScalarType::dtype>();
 
-    ET_FORALL_REAL_TYPES_AND(Half, ENUMERATE_TEST_ENTRY)
+    ET_FORALL_REALHBF16_TYPES(ENUMERATE_TEST_ENTRY)
 
 #undef ENUMERATE_TEST_ENTRY
   }
@@ -89,29 +89,116 @@ class OpMulOutTest : public OperatorTest {
 
     // Multiply two tensors
     op_mul_out(
-        tf.make(sizes, /*data=*/{1.1, 2.2, 4.4, 8.8}), tf.ones(sizes), out);
-    EXPECT_TENSOR_CLOSE(out, tf.make(sizes, /*data=*/{1.1, 2.2, 4.4, 8.8}));
+        tf.make(sizes, /*data=*/{1.25, 2.5, 4.75, 8.875}), tf.ones(sizes), out);
+    EXPECT_TENSOR_CLOSE(out, tf.make(sizes, /*data=*/{1.25, 2.5, 4.75, 8.875}));
 
     op_mul_out(
         tf.make(sizes, /*data=*/{1.1, 2.2, 4.4, 8.8}), tf.zeros(sizes), out);
     EXPECT_TENSOR_CLOSE(out, tf.make(sizes, /*data=*/{0.0, 0.0, 0.0, 0.0}));
 
     op_mul_out(
-        tf.make(sizes, /*data=*/{1.1, 2.2, 4.4, 8.8}),
-        tf.make(sizes, /*data=*/{1.1, 2.2, 4.4, 8.8}),
+        tf.make(sizes, /*data=*/{1.25, 2.5, 4.75, 8.875}),
+        tf.make(sizes, /*data=*/{1.25, 2.5, 4.75, 8.875}),
         out);
     EXPECT_TENSOR_CLOSE(
-        out, tf.make(sizes, /*data=*/{1.21, 4.84, 19.36, 77.44}));
+        out, tf.make(sizes, /*data=*/{1.5625, 6.25, 22.5625, 78.765625}));
   }
 
   void test_mul_enumerate_a_types() {
 #define ENUMERATE_TEST_ENTRY(ctype, dtype) \
   test_mul_enumerate_b_types<ScalarType::dtype>();
 
-    ET_FORALL_REAL_TYPES_AND(Half, ENUMERATE_TEST_ENTRY)
+    ET_FORALL_REALHBF16_TYPES(ENUMERATE_TEST_ENTRY)
 
 #undef ENUMERATE_TEST_ENTRY
   }
+
+  template <ScalarType DTYPE>
+  void test_optimized_path_ignores_leading_1_dimensions() {
+    TensorFactory<DTYPE> tf;
+
+    const std::vector<int32_t> sizes1 = {1, 1, 2, 2};
+    const std::vector<int32_t> sizes2 = {1, 2, 2};
+
+    // Destination for the mul.
+    Tensor out = tf.zeros(sizes1);
+
+    // Multiply two tensors
+    op_mul_out(
+        tf.make(sizes1, /*data=*/{1.1, 2.2, 4.4, 8.8}), tf.ones(sizes2), out);
+    EXPECT_TENSOR_CLOSE(out, tf.make(sizes1, /*data=*/{1.1, 2.2, 4.4, 8.8}));
+  }
+
+  template <ScalarType DTYPE>
+  void test_broadcast_a2b() {
+    TensorFactory<DTYPE> tf_a;
+
+    std::vector<std::vector<int32_t>> b_sizeses = {
+        {2},
+        {1, 2},
+    };
+    for (const auto& b_sizes : b_sizeses) {
+      // a and b of different shapes
+      Tensor a = tf_a.make({2, 2}, /*data=*/{1, 2, 3, 4});
+      Tensor b = tf_a.make(b_sizes, /*data=*/{2, 2});
+
+      // Destination for output of mul.
+      Tensor out = tf_a.zeros({2, 2});
+
+      // Check that it matches the expected output.
+      EXPECT_TENSOR_CLOSE(
+          op_mul_out(a, b, out), tf_a.make({2, 2}, /*data=*/{2, 4, 6, 8}));
+    }
+  }
+
+  template <ScalarType DTYPE>
+  void test_broadcast_b2a() {
+    TensorFactory<DTYPE> tf_a;
+    // a and b of different shapes
+    Tensor a = tf_a.make({2}, /*data=*/{2, 2});
+    Tensor b = tf_a.make({2, 2}, /*data=*/{1, 2, 3, 4});
+
+    // Destination for output of mul.
+    Tensor out = tf_a.zeros({2, 2});
+
+    // Check that it matches the expected output.
+    EXPECT_TENSOR_CLOSE(
+        op_mul_out(a, b, out), tf_a.make({2, 2}, /*data=*/{2, 4, 6, 8}));
+  }
+
+  template <ScalarType DTYPE>
+  void test_scalar_input_broadcast() {
+    TensorFactory<DTYPE> tf_a;
+
+    // a is a 1d tensor and b is a scalar
+    Tensor a = tf_a.make({2}, /*data=*/{2, 2});
+    Tensor b = tf_a.make({}, /*data=*/{2});
+
+    // Destination for output of mul.
+    Tensor out = tf_a.make({2}, /*data=*/{2, 2});
+    Tensor expected = tf_a.make({2}, /*data=*/{4, 4});
+
+    // Check that it matches the expected output.
+    EXPECT_TENSOR_CLOSE(op_mul_out(a, b, out), expected);
+    EXPECT_TENSOR_CLOSE(op_mul_out(b, a, out), expected);
+  }
+
+  template <ScalarType DTYPE>
+  void test_both_scalar_input_broadcast() {
+    TensorFactory<DTYPE> tf_a;
+
+    // a is a rank-1 scalar and b is a rank-0 scalar
+    Tensor a = tf_a.make({1}, /*data=*/{2});
+    Tensor b = tf_a.make({}, /*data=*/{2});
+
+    // Destination for output of mul.
+    Tensor out = tf_a.make({1}, /*data=*/{2});
+    Tensor expected = tf_a.make({1}, /*data=*/{4});
+
+    // Check that it matches the expected output.
+    EXPECT_TENSOR_CLOSE(op_mul_out(a, b, out), expected);
+    EXPECT_TENSOR_CLOSE(op_mul_out(b, a, out), expected);
+  }
 };
 
 class OpMulScalarOutTest : public OperatorTest {
@@ -141,6 +228,14 @@ TEST_F(OpMulOutTest, DoubleTensors) {
   test_floating_point_mul_out<ScalarType::Double>();
 }
 
+TEST_F(OpMulOutTest, HalfTensors) {
+  test_floating_point_mul_out<ScalarType::Half>();
+}
+
+TEST_F(OpMulOutTest, BFloat16Tensors) {
+  test_floating_point_mul_out<ScalarType::BFloat16>();
+}
+
 TEST_F(OpMulOutTest, BoolTensors) {
   TensorFactory<ScalarType::Bool> tf;
 
@@ -165,8 +260,17 @@ TEST_F(OpMulOutTest, BoolTensors) {
   EXPECT_TENSOR_EQ(out, tf.make(sizes, /*data=*/{false, false, true, false}));
 }
 
+TEST_F(OpMulOutTest, OptimizedPathIgnoresLeading1Dimensions) {
+#define ENUMERATE_TEST_ENTRY(ctype, dtype) \
+  test_optimized_path_ignores_leading_1_dimensions<ScalarType::dtype>();
+
+  ET_FORALL_FLOATHBF16_TYPES(ENUMERATE_TEST_ENTRY);
+
+#undef ENUMERATE_TEST_ENTRY
+}
+
 // Mismatched shape tests.
-TEST_F(OpMulOutTest, MismatchedInputShapesDies) {
+TEST_F(OpMulOutTest, MismatchedNonBroadcastableInputShapesDies) {
   if (SupportedFeatures::get()->is_aten) {
     GTEST_SKIP() << "ATen currently supports mismatched shapes";
   }
@@ -174,11 +278,11 @@ TEST_F(OpMulOutTest, MismatchedInputShapesDies) {
   TensorFactory<ScalarType::Int> tf;
 
   // Input tensors with different shapes.
-  Tensor a = tf.ones(/*sizes=*/{1, 2});
+  Tensor a = tf.ones(/*sizes=*/{4, 2});
   Tensor b = tf.ones(/*sizes=*/{2, 2});
 
   // Output tensor; matches the shape of one of the inputs.
-  Tensor out = tf.zeros(/*sizes=*/{4});
+  Tensor out = tf.zeros(/*sizes=*/{8});
 
   // Multiplying the two mismatched tensors should cause an assertion and kill
   // the test process.
@@ -187,34 +291,16 @@ TEST_F(OpMulOutTest, MismatchedInputShapesDies) {
 
 // Broadcast tensor b's size to tensor a's size
 TEST_F(OpMulOutTest, BroadcastA2BTest) {
-  TensorFactory<ScalarType::Int> tf_a;
-
-  // a and b of different shapes
-  Tensor a = tf_a.make({2, 2}, /*data=*/{1, 2, 3, 4});
-  Tensor b = tf_a.make({2}, /*data=*/{2, 2});
-
-  // Destination for output of mul.
-  Tensor out = tf_a.zeros({2, 2});
-
-  // Check that it matches the expected output.
-  EXPECT_TENSOR_CLOSE(
-      op_mul_out(a, b, out), tf_a.make({2, 2}, /*data=*/{2, 4, 6, 8}));
+  test_broadcast_a2b<ScalarType::Int>();
+  test_broadcast_a2b<ScalarType::Half>();
+  test_broadcast_a2b<ScalarType::BFloat16>();
 }
 
 // Broadcast tensor a's size to tensor b's size
 TEST_F(OpMulOutTest, BroadcastB2ATest) {
-  TensorFactory<ScalarType::Int> tf_a;
-
-  // a and b of different shapes
-  Tensor a = tf_a.make({2}, /*data=*/{2, 2});
-  Tensor b = tf_a.make({2, 2}, /*data=*/{1, 2, 3, 4});
-
-  // Destination for output of mul.
-  Tensor out = tf_a.zeros({2, 2});
-
-  // Check that it matches the expected output.
-  EXPECT_TENSOR_CLOSE(
-      op_mul_out(a, b, out), tf_a.make({2, 2}, /*data=*/{2, 4, 6, 8}));
+  test_broadcast_b2a<ScalarType::Int>();
+  test_broadcast_b2a<ScalarType::Half>();
+  test_broadcast_b2a<ScalarType::BFloat16>();
 }
 
 // Broadcast tensor a and b's size to a new size c.
@@ -235,18 +321,15 @@ TEST_F(OpMulOutTest, BroadcastAB2CTest) {
 }
 
 TEST_F(OpMulOutTest, ScalarInputBroadcastTest) {
-  TensorFactory<ScalarType::Int> tf_a;
-
-  // a is a 1d tensor and b is a scalar
-  Tensor a = tf_a.make({2}, /*data=*/{2, 2});
-  Tensor b = tf_a.make({}, /*data=*/{2});
-
-  // Destination for output of mul.
-  Tensor out = tf_a.make({2}, /*data=*/{2, 2});
-  Tensor expected = tf_a.make({2}, /*data=*/{4, 4});
+  test_scalar_input_broadcast<ScalarType::Int>();
+  test_scalar_input_broadcast<ScalarType::Half>();
+  test_scalar_input_broadcast<ScalarType::BFloat16>();
+}
 
-  // Check that it matches the expected output.
-  EXPECT_TENSOR_CLOSE(op_mul_out(a, b, out), expected);
+TEST_F(OpMulOutTest, BothScalarInputBroadcastTest) {
+  test_both_scalar_input_broadcast<ScalarType::Int>();
+  test_both_scalar_input_broadcast<ScalarType::Half>();
+  test_both_scalar_input_broadcast<ScalarType::BFloat16>();
 }
 
 TEST_F(OpMulOutTest, MismatchedOutputShapesDies) {
@@ -503,3 +586,29 @@ TEST_F(OpMulScalarOutTest, OptimizedSanityCheck) {
   // Check that it matches the expected output.
   EXPECT_TENSOR_CLOSE(out, tf.make(sizes, {2.6, 4.2, 9.2, 16.4}));
 }
+
+TEST_F(OpMulScalarOutTest, HalfSanityCheck) {
+  TensorFactory<ScalarType::Half> tf;
+
+  const std::vector<int32_t> sizes = {2, 2};
+
+  Tensor out = tf.zeros(sizes);
+
+  op_mul_scalar_out(tf.make(sizes, {1.3, 2.1, 4.6, 8.2}), 2.0, out);
+
+  // Check that it matches the expected output.
+  EXPECT_TENSOR_CLOSE(out, tf.make(sizes, {2.6, 4.2, 9.2, 16.4}));
+}
+
+TEST_F(OpMulScalarOutTest, BFloat16SanityCheck) {
+  TensorFactory<ScalarType::BFloat16> tf;
+
+  const std::vector<int32_t> sizes = {2, 2};
+
+  Tensor out = tf.zeros(sizes);
+
+  op_mul_scalar_out(tf.make(sizes, {1.3, 2.1, 4.6, 8.2}), 2.0, out);
+
+  // Check that it matches the expected output.
+  EXPECT_TENSOR_CLOSE(out, tf.make(sizes, {2.6, 4.2, 9.2, 16.4}));
+}
diff --git a/kernels/test/op_narrow_copy_test.cpp b/kernels/test/op_narrow_copy_test.cpp
new file mode 100644
index 0000000000..e453e46500
--- /dev/null
+++ b/kernels/test/op_narrow_copy_test.cpp
@@ -0,0 +1,197 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/kernels/test/FunctionHeaderWrapper.h> // Declares the operator
+#include <executorch/kernels/test/TestUtil.h>
+#include <executorch/runtime/core/exec_aten/exec_aten.h>
+#include <executorch/runtime/core/exec_aten/testing_util/tensor_factory.h>
+#include <executorch/runtime/core/exec_aten/testing_util/tensor_util.h>
+
+#include <gtest/gtest.h>
+
+using namespace ::testing;
+using exec_aten::ArrayRef;
+using exec_aten::optional;
+using exec_aten::ScalarType;
+using exec_aten::Tensor;
+using torch::executor::testing::TensorFactory;
+
+class OpNarrowCopyOutTest : public OperatorTest {
+ protected:
+  Tensor& op_narrow_copy_out(
+      const Tensor& in,
+      int64_t dim,
+      int64_t start,
+      int64_t length,
+      Tensor& out) {
+    return torch::executor::aten::narrow_copy_outf(
+        context_, in, dim, start, length, out);
+  }
+
+  template <class CTYPE, exec_aten::ScalarType DTYPE>
+  void test_dtype() {
+    TensorFactory<DTYPE> tf;
+
+    // clang-format off
+    Tensor input = tf.make(
+      /*sizes=*/{3, 4},
+      /*data=*/{
+        1,   2,   3,   4, // [0, :]
+        5,   6,   7,   8, // [1, :]
+        9,  10,  11,  12, // [2, :]
+      });
+  
+    Tensor expected = tf.make(
+      /*sizes=*/{2, 4},
+      /*data=*/{
+        1,   2,   3,   4, // [0, :]
+        5,   6,   7,   8, // [1, :]
+      });
+    // clang-format on
+
+    Tensor out = tf.zeros({2, 4});
+    Tensor ret =
+        op_narrow_copy_out(input, /*dim=*/0, /*start=*/0, /*length=*/2, out);
+
+    EXPECT_TENSOR_EQ(out, ret);
+    EXPECT_TENSOR_EQ(out, expected);
+  }
+};
+
+TEST_F(OpNarrowCopyOutTest, AllDtypesSupported) {
+#define TEST_ENTRY(ctype, dtype) test_dtype<ctype, ScalarType::dtype>();
+  ET_FORALL_REAL_TYPES_AND(Bool, TEST_ENTRY);
+#undef TEST_ENTRY
+}
+
+TEST_F(OpNarrowCopyOutTest, EmptyInputSupported) {
+  TensorFactory<ScalarType::Int> tf;
+
+  Tensor input = tf.ones({1, 0, 1});
+  Tensor out = tf.zeros({1, 0, 1});
+
+  Tensor expect = tf.ones({1, 0, 1});
+
+  Tensor ret =
+      op_narrow_copy_out(input, /*dim=*/0, /*start=*/0, /*length=*/1, out);
+  EXPECT_TENSOR_EQ(ret, out);
+  EXPECT_TENSOR_EQ(ret, expect);
+
+  ret = op_narrow_copy_out(input, /*dim=*/1, /*start=*/0, /*length=*/0, out);
+  EXPECT_TENSOR_EQ(ret, out);
+  EXPECT_TENSOR_EQ(ret, expect);
+
+  ret = op_narrow_copy_out(input, /*dim=*/2, /*start=*/0, /*length=*/1, out);
+  EXPECT_TENSOR_EQ(ret, out);
+  EXPECT_TENSOR_EQ(ret, expect);
+}
+
+TEST_F(OpNarrowCopyOutTest, ZeroLengthSupported) {
+  TensorFactory<ScalarType::Int> tf;
+
+  Tensor input = tf.ones({2, 3});
+  Tensor out = tf.ones({2, 0});
+
+  Tensor expect = tf.ones({2, 0});
+
+  Tensor ret =
+      op_narrow_copy_out(input, /*dim=*/1, /*start=*/1, /*length=*/0, out);
+  EXPECT_TENSOR_EQ(ret, out);
+  EXPECT_TENSOR_EQ(ret, expect);
+
+  ret = op_narrow_copy_out(input, /*dim=*/1, /*start=*/-1, /*length=*/0, out);
+  EXPECT_TENSOR_EQ(ret, out);
+  EXPECT_TENSOR_EQ(ret, expect);
+}
+
+TEST_F(OpNarrowCopyOutTest, ZeroDimInputDies) {
+  TensorFactory<ScalarType::Int> tf;
+
+  Tensor input = tf.ones({});
+  Tensor out = tf.ones({});
+
+  // The operation shall die whatever the end is.
+  ET_EXPECT_KERNEL_FAILURE(
+      context_,
+      op_narrow_copy_out(input, /*dim=*/0, /*start=*/0, /*length=*/0, out));
+  ET_EXPECT_KERNEL_FAILURE(
+      context_,
+      op_narrow_copy_out(input, /*dim=*/0, /*start=*/1, /*length=*/1, out));
+}
+
+TEST_F(OpNarrowCopyOutTest, InvalidStart) {
+  TensorFactory<ScalarType::Int> tf;
+
+  Tensor input = tf.ones({2, 3});
+  Tensor out = tf.ones({2, 3});
+
+  ET_EXPECT_KERNEL_FAILURE(
+      context_,
+      op_narrow_copy_out(input, /*dim=*/0, /*start=*/-3, /*length=*/0, out));
+  ET_EXPECT_KERNEL_FAILURE(
+      context_,
+      op_narrow_copy_out(input, /*dim=*/1, /*start=*/4, /*length=*/0, out));
+}
+
+TEST_F(OpNarrowCopyOutTest, InvalidStartLengthCombination) {
+  TensorFactory<ScalarType::Int> tf;
+
+  Tensor input = tf.ones({2, 3});
+  Tensor out = tf.ones({2, 3});
+
+  ET_EXPECT_KERNEL_FAILURE(
+      context_,
+      op_narrow_copy_out(input, /*dim=*/0, /*start=*/0, /*length=*/3, out));
+  ET_EXPECT_KERNEL_FAILURE(
+      context_,
+      op_narrow_copy_out(input, /*dim=*/1, /*start=*/-1, /*length=*/2, out));
+}
+
+TEST_F(OpNarrowCopyOutTest, NegativeLengthDies) {
+  TensorFactory<ScalarType::Int> tf;
+
+  Tensor input = tf.ones({1, 1, 1});
+  Tensor out = tf.zeros({1, 1, 1});
+
+  // Some invalid length values.
+  const std::vector<int64_t> invalid_lengths = {-3, -2, -1};
+  for (int64_t length : invalid_lengths) {
+    ET_EXPECT_KERNEL_FAILURE(
+        context_,
+        op_narrow_copy_out(
+            input, /*dim=*/0, /*start=*/0, /*length=*/length, out));
+  }
+}
+
+TEST_F(OpNarrowCopyOutTest, DimOutOfBoundDies) {
+  TensorFactory<ScalarType::Int> tf;
+
+  Tensor input = tf.ones({1, 1, 1});
+  Tensor out = tf.zeros({1, 1, 1});
+
+  // Some invalid dim values.
+  const std::vector<int64_t> invalid_dims = {3, 4, 5, -4, -5, -6};
+  for (int64_t dim : invalid_dims) {
+    ET_EXPECT_KERNEL_FAILURE(
+        context_,
+        op_narrow_copy_out(input, dim, /*start=*/0, /*length=*/1, out));
+  }
+}
+
+TEST_F(OpNarrowCopyOutTest, MismatchedDtypesDies) {
+  TensorFactory<ScalarType::Int> tf_int;
+  TensorFactory<ScalarType::Float> tf_float;
+  Tensor input = tf_int.zeros({1, 2, 2});
+
+  // Size is compatible to the output, but a mismatched dtype.
+  Tensor out = tf_float.ones({1, 2, 2});
+
+  ET_EXPECT_KERNEL_FAILURE(
+      context_,
+      op_narrow_copy_out(input, /*dim=*/0, /*start=*/0, /*length=*/1, out));
+}
diff --git a/kernels/test/op_native_batch_norm_test.cpp b/kernels/test/op_native_batch_norm_test.cpp
index 459a5e5a55..c6810f737f 100644
--- a/kernels/test/op_native_batch_norm_test.cpp
+++ b/kernels/test/op_native_batch_norm_test.cpp
@@ -61,7 +61,7 @@ class OpNativeBatchNormLegitOutTest : public OperatorTest {
       exec_aten::Tensor& out0,
       exec_aten::Tensor& out1,
       exec_aten::Tensor& out2) {
-    exec_aten::RuntimeContext context{};
+    executorch::runtime::KernelRuntimeContext context{};
     return torch::executor::aten::_native_batch_norm_legit_outf(
         context,
         input,
diff --git a/kernels/test/op_native_group_norm_test.cpp b/kernels/test/op_native_group_norm_test.cpp
index 6bc4785ce4..aab4d9d76a 100644
--- a/kernels/test/op_native_group_norm_test.cpp
+++ b/kernels/test/op_native_group_norm_test.cpp
@@ -32,7 +32,7 @@ ::std::tuple<Tensor&, Tensor&, Tensor&> op_native_group_norm_out(
     Tensor& out0,
     Tensor& out1,
     Tensor& out2) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::native_group_norm_outf(
       context, input, weight, bias, N, C, HxW, group, eps, out0, out1, out2);
 }
diff --git a/kernels/test/op_ne_test.cpp b/kernels/test/op_ne_test.cpp
index 9603dee03c..81ec9d01fc 100644
--- a/kernels/test/op_ne_test.cpp
+++ b/kernels/test/op_ne_test.cpp
@@ -15,10 +15,10 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-using exec_aten::RuntimeContext;
 using exec_aten::Scalar;
 using exec_aten::ScalarType;
 using exec_aten::Tensor;
+using executorch::runtime::KernelRuntimeContext;
 using torch::executor::testing::TensorFactory;
 
 class OpNeTest : public OperatorTest {
@@ -34,7 +34,7 @@ class OpNeTest : public OperatorTest {
     Tensor a = tf_input.make(/*sizes=*/{2, 2}, /*data=*/{2, 3, 2, 4});
     Tensor b = tf_input.make({2, 2}, {2, 2, 2, 2});
     Tensor out = tf_bool.zeros({2, 2});
-    RuntimeContext context{};
+    KernelRuntimeContext context{};
 
     torch::executor::aten::ne_outf(context, a, b, out);
     EXPECT_TENSOR_EQ(out, tf_bool.make({2, 2}, {false, true, false, true}));
diff --git a/kernels/test/op_pdist_forward_test.cpp b/kernels/test/op_pdist_forward_test.cpp
index a21c1eb825..f022c9af94 100644
--- a/kernels/test/op_pdist_forward_test.cpp
+++ b/kernels/test/op_pdist_forward_test.cpp
@@ -22,7 +22,7 @@ using exec_aten::Tensor;
 using torch::executor::testing::TensorFactory;
 
 Tensor& op_pdist_forward_out(const Tensor& input, double p, Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::_pdist_forward_outf(context, input, p, out);
 }
 
diff --git a/kernels/test/op_pixel_shuffle_test.cpp b/kernels/test/op_pixel_shuffle_test.cpp
index 01c2d878b2..a255f94b2e 100644
--- a/kernels/test/op_pixel_shuffle_test.cpp
+++ b/kernels/test/op_pixel_shuffle_test.cpp
@@ -74,7 +74,7 @@ TEST_F(OpPixelShuffleOutTest, AllRealDtypesSupported) {
 TEST_F(OpPixelShuffleOutTest, LargerInputRank) {
   TensorFactory<ScalarType::Int> tf;
 
-  // Pixel shuffle allows a 4D (or higher) input tensor, make sure the extra
+  // Pixel shuffle allows a 3D (or higher) input tensor, make sure the extra
   // dimensions don't cause issues.
   Tensor a = tf.ones(/*sizes=*/{1, 4, 1, 4, 2, 2});
 
@@ -102,11 +102,8 @@ TEST_F(OpPixelShuffleOutTest, InvalidInputChannelsDies) {
 TEST_F(OpPixelShuffleOutTest, WrongInputRankDies) {
   TensorFactory<ScalarType::Int> tf;
 
-  // Pixel shuffle requires a 4D input tensor.
+  // Pixel shuffle requires a 3D or higher input tensor.
   Tensor a = tf.ones(/*sizes=*/{1, 2});
-
-  // NOTE: The wrong output rank dies for the portable kernel, but not the aten
-  // kernel.
   Tensor out = tf.zeros(/*sizes=*/{1, 2});
 
   // Using the wrong input shape should exit with an error code.
diff --git a/kernels/test/op_pixel_unshuffle_test.cpp b/kernels/test/op_pixel_unshuffle_test.cpp
new file mode 100644
index 0000000000..838aa4c694
--- /dev/null
+++ b/kernels/test/op_pixel_unshuffle_test.cpp
@@ -0,0 +1,130 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/kernels/test/FunctionHeaderWrapper.h> // Declares the operator
+#include <executorch/kernels/test/TestUtil.h>
+#include <executorch/kernels/test/supported_features.h>
+#include <executorch/runtime/core/exec_aten/exec_aten.h>
+#include <executorch/runtime/core/exec_aten/testing_util/tensor_factory.h>
+#include <executorch/runtime/core/exec_aten/testing_util/tensor_util.h>
+
+#include <gtest/gtest.h>
+
+using namespace ::testing;
+using exec_aten::Scalar;
+using exec_aten::ScalarType;
+using exec_aten::Tensor;
+using torch::executor::testing::SupportedFeatures;
+using torch::executor::testing::TensorFactory;
+
+class OpPixelUnshuffleOutTest : public OperatorTest {
+ protected:
+  Tensor& op_pixel_unshuffle_out(
+      const Tensor& self,
+      int64_t upscale_factor,
+      Tensor& out) {
+    return torch::executor::aten::pixel_unshuffle_outf(
+        context_, self, upscale_factor, out);
+  }
+
+  template <ScalarType DTYPE_IN>
+  void test_pixel_unshuffle() {
+    TensorFactory<DTYPE_IN> tf_in;
+
+    const std::vector<int32_t> sizes = {1, 1, 4, 4};
+    const std::vector<int32_t> out_sizes = {1, 4, 2, 2};
+
+    // Destination for the pixel_unshuffle.
+    Tensor out = tf_in.zeros(out_sizes);
+
+    op_pixel_unshuffle_out(
+        tf_in.make(
+            sizes, {0, 4, 1, 5, 8, 12, 9, 13, 2, 6, 3, 7, 10, 14, 11, 15}),
+        2,
+        out);
+    EXPECT_TENSOR_EQ(
+        out,
+        tf_in.make(
+            out_sizes, {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15}));
+  }
+};
+
+//
+// Correctness Tests
+//
+
+/**
+ * Uses the function templates above to test all input dtypes.
+ */
+TEST_F(OpPixelUnshuffleOutTest, AllRealDtypesSupported) {
+#define ENUMERATE_TEST_ENTRY(ctype, dtype) \
+  test_pixel_unshuffle<ScalarType::dtype>();
+
+  ET_FORALL_REAL_TYPES(ENUMERATE_TEST_ENTRY)
+
+#undef ENUMERATE_TEST_ENTRY
+}
+
+TEST_F(OpPixelUnshuffleOutTest, LargerInputRank) {
+  TensorFactory<ScalarType::Int> tf;
+
+  // Pixel unshuffle allows a 3D (or higher) input tensor, make sure the extra
+  // dimensions don't cause issues.
+  Tensor a = tf.ones(/*sizes=*/{1, 4, 1, 1, 4, 4});
+
+  const std::vector<int32_t> out_sizes = {1, 4, 1, 4, 2, 2};
+  Tensor out = tf.zeros(out_sizes);
+
+  op_pixel_unshuffle_out(a, 2, out);
+  EXPECT_TENSOR_EQ(out, tf.ones(out_sizes));
+}
+
+// Mismatched shape tests.
+TEST_F(OpPixelUnshuffleOutTest, InvalidInputShapeDies) {
+  TensorFactory<ScalarType::Int> tf;
+
+  // Input tensors with invalid shapes. 7 is not divisible by downsample_factor
+  Tensor a = tf.ones(/*sizes=*/{1, 1, 7, 8});
+
+  Tensor out = tf.zeros(/*sizes=*/{1, 4, 4, 4});
+
+  // Using the wrong input shape should exit with an error code.
+  ET_EXPECT_KERNEL_FAILURE(context_, op_pixel_unshuffle_out(a, 2, out));
+}
+
+TEST_F(OpPixelUnshuffleOutTest, WrongInputRankDies) {
+  TensorFactory<ScalarType::Int> tf;
+
+  // Pixel unshuffle requires a 3D or higher input tensor.
+  Tensor a = tf.ones(/*sizes=*/{1, 2});
+  Tensor out = tf.zeros(/*sizes=*/{1, 2});
+
+  // Using the wrong input rank should exit with an error code.
+  ET_EXPECT_KERNEL_FAILURE(context_, op_pixel_unshuffle_out(a, 2, out));
+}
+
+TEST_F(OpPixelUnshuffleOutTest, DifferentDtypeDies) {
+  TensorFactory<ScalarType::Int> tf;
+  TensorFactory<ScalarType::Float> tf_float;
+
+  Tensor a = tf.ones(/*sizes=*/{1, 2, 12, 12});
+
+  // Pixel unshuffle requires two tensors with the same dtype.
+  Tensor out = tf_float.zeros(/*sizes=*/{1, 18, 4, 4});
+
+  // Using the wrong output dtype should exit with an error code.
+  ET_EXPECT_KERNEL_FAILURE(context_, op_pixel_unshuffle_out(a, 3, out));
+}
+
+TEST_F(OpPixelUnshuffleOutTest, NegativeUpscaleFactorDies) {
+  TensorFactory<ScalarType::Int> tf;
+  Tensor a = tf.ones(/*sizes=*/{1, 2, 12, 12});
+  Tensor out = tf.zeros(/*sizes=*/{1, 18, 4, 4});
+  // Using a negative upscale factor should exit with an error code.
+  ET_EXPECT_KERNEL_FAILURE(context_, op_pixel_unshuffle_out(a, -3, out));
+}
diff --git a/kernels/test/op_prod_test.cpp b/kernels/test/op_prod_test.cpp
index 3e9f7e6af1..f96eea9564 100644
--- a/kernels/test/op_prod_test.cpp
+++ b/kernels/test/op_prod_test.cpp
@@ -23,7 +23,7 @@ using torch::executor::testing::TensorFactory;
 
 Tensor&
 op_prod_out(const Tensor& self, optional<ScalarType> dtype, Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::prod_outf(context, self, dtype, out);
 }
 
@@ -33,7 +33,7 @@ Tensor& op_prod_int_out(
     bool keepdim,
     optional<ScalarType> dtype,
     Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::prod_outf(
       context, self, dim, keepdim, dtype, out);
 }
diff --git a/kernels/test/op_reflection_pad1d_test.cpp b/kernels/test/op_reflection_pad1d_test.cpp
index 91f9da57b4..2c357ffe38 100644
--- a/kernels/test/op_reflection_pad1d_test.cpp
+++ b/kernels/test/op_reflection_pad1d_test.cpp
@@ -25,7 +25,7 @@ Tensor& op_reflection_pad1d_out(
     const Tensor& input,
     ArrayRef<int64_t> padding,
     Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::reflection_pad1d_outf(
       context, input, padding, out);
 }
diff --git a/kernels/test/op_reflection_pad2d_test.cpp b/kernels/test/op_reflection_pad2d_test.cpp
index 295c8772ce..6e0c7780f5 100644
--- a/kernels/test/op_reflection_pad2d_test.cpp
+++ b/kernels/test/op_reflection_pad2d_test.cpp
@@ -25,7 +25,7 @@ Tensor& op_reflection_pad2d_out(
     const Tensor& input,
     ArrayRef<int64_t> padding,
     Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::reflection_pad2d_outf(
       context, input, padding, out);
 }
diff --git a/kernels/test/op_reflection_pad3d_test.cpp b/kernels/test/op_reflection_pad3d_test.cpp
index e49ec71549..8ef8b6154d 100644
--- a/kernels/test/op_reflection_pad3d_test.cpp
+++ b/kernels/test/op_reflection_pad3d_test.cpp
@@ -25,7 +25,7 @@ Tensor& op_reflection_pad3d_out(
     const Tensor& input,
     ArrayRef<int64_t> padding,
     Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::reflection_pad3d_outf(
       context, input, padding, out);
 }
diff --git a/kernels/test/op_replication_pad1d_test.cpp b/kernels/test/op_replication_pad1d_test.cpp
index 77ecc9d5a0..942a38e27b 100644
--- a/kernels/test/op_replication_pad1d_test.cpp
+++ b/kernels/test/op_replication_pad1d_test.cpp
@@ -25,7 +25,7 @@ Tensor& op_replication_pad1d_out(
     const Tensor& input,
     ArrayRef<int64_t> padding,
     Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::replication_pad1d_outf(
       context, input, padding, out);
 }
diff --git a/kernels/test/op_replication_pad2d_test.cpp b/kernels/test/op_replication_pad2d_test.cpp
index af5c7cd726..2b9147b575 100644
--- a/kernels/test/op_replication_pad2d_test.cpp
+++ b/kernels/test/op_replication_pad2d_test.cpp
@@ -25,7 +25,7 @@ Tensor& op_replication_pad2d_out(
     const Tensor& input,
     ArrayRef<int64_t> padding,
     Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::replication_pad2d_outf(
       context, input, padding, out);
 }
diff --git a/kernels/test/op_replication_pad3d_test.cpp b/kernels/test/op_replication_pad3d_test.cpp
index 8f9c35219d..61a23ffbab 100644
--- a/kernels/test/op_replication_pad3d_test.cpp
+++ b/kernels/test/op_replication_pad3d_test.cpp
@@ -25,7 +25,7 @@ Tensor& op_replication_pad3d_out(
     const Tensor& input,
     ArrayRef<int64_t> padding,
     Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::replication_pad3d_outf(
       context, input, padding, out);
 }
diff --git a/kernels/test/op_roll_test.cpp b/kernels/test/op_roll_test.cpp
index dc7b23ca50..16e09ec83f 100644
--- a/kernels/test/op_roll_test.cpp
+++ b/kernels/test/op_roll_test.cpp
@@ -26,7 +26,7 @@ Tensor& op_roll_out(
     ArrayRef<int64_t> shifts,
     ArrayRef<int64_t> dims,
     Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::roll_outf(context, input, shifts, dims, out);
 }
 
diff --git a/kernels/test/op_scalar_tensor_test.cpp b/kernels/test/op_scalar_tensor_test.cpp
index 7a2f5ca9da..482f6073a6 100644
--- a/kernels/test/op_scalar_tensor_test.cpp
+++ b/kernels/test/op_scalar_tensor_test.cpp
@@ -80,7 +80,7 @@ class OpScalarTensorOutTest : public OperatorTest {
     test_scalar_tensor_out_0d<ctype, ScalarType::dtype>(9); \
   }
 
-ET_FORALL_REAL_TYPES(GENERATE_TEST_0D)
+ET_FORALL_REAL_TYPES_AND3(Half, Bool, BFloat16, GENERATE_TEST_0D)
 
 #define GENERATE_TEST(ctype, dtype)                                    \
   TEST_F(OpScalarTensorOutTest, dtype##Tensors) {                      \
@@ -98,7 +98,7 @@ ET_FORALL_REAL_TYPES(GENERATE_TEST_0D)
     test_scalar_tensor_out_3d<ctype, ScalarType::dtype>(7);            \
   }
 
-ET_FORALL_REAL_TYPES(GENERATE_TEST)
+ET_FORALL_REAL_TYPES_AND3(Half, Bool, BFloat16, GENERATE_TEST)
 
 TEST_F(OpScalarTensorOutTest, InvalidOutShapeFails) {
   if (torch::executor::testing::SupportedFeatures::get()->is_aten) {
diff --git a/kernels/test/op_scatter_test.cpp b/kernels/test/op_scatter_test.cpp
new file mode 100644
index 0000000000..83c112a8c3
--- /dev/null
+++ b/kernels/test/op_scatter_test.cpp
@@ -0,0 +1,654 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/kernels/test/FunctionHeaderWrapper.h> // Declares the operator
+#include <executorch/kernels/test/TestUtil.h>
+#include <executorch/kernels/test/supported_features.h>
+#include <executorch/runtime/core/exec_aten/exec_aten.h>
+#include <executorch/runtime/core/exec_aten/testing_util/tensor_factory.h>
+#include <executorch/runtime/core/exec_aten/testing_util/tensor_util.h>
+
+#include <gtest/gtest.h>
+#include <cmath>
+
+using namespace ::testing;
+using exec_aten::Scalar;
+using exec_aten::ScalarType;
+using exec_aten::Tensor;
+using torch::executor::testing::TensorFactory;
+
+class OpScatterSrcOutTest : public OperatorTest {
+ protected:
+  Tensor& op_scatter_src_out(
+      const Tensor& self,
+      int64_t dim,
+      const Tensor& index,
+      const Tensor& src,
+      Tensor& out) {
+    return torch::executor::aten::scatter_outf(
+        context_, self, dim, index, src, out);
+  }
+
+  // Common testing for the operator
+  template <ScalarType DATA_DTYPE>
+  void test_scatter_src_out() {
+    TensorFactory<ScalarType::Long> tf_index;
+    TensorFactory<DATA_DTYPE> tf_data;
+    const std::vector<int32_t> sizes = {3, 5};
+    // clang-format off
+    Tensor src = tf_data.make(
+      /*sizes=*/{2, 5},
+      {
+        1, 2, 3, 4, 5,
+        6, 7, 8, 9, 10
+      });
+    // clang-format on
+    Tensor in = tf_data.zeros(sizes);
+    Tensor out = tf_data.zeros(sizes);
+    // clang-format off
+    Tensor index = tf_index.make(
+      /*sizes=*/{2, 3},
+      {
+        0, 1, 2,
+        0, 1, 2
+      });
+    // clang-format on
+
+    // Valid input should give the expected output
+    op_scatter_src_out(in, 0, index, src, out);
+    // clang-format off
+    EXPECT_TENSOR_EQ(
+        out, tf_data.make(
+          sizes,
+          {
+            6, 0, 0, 0, 0,
+            0, 7, 0, 0, 0,
+            0, 0, 8, 0, 0
+          }));
+    // clang-format on
+
+    // Valid input should give the expected output
+    op_scatter_src_out(in, 1, index, src, out);
+    // clang-format off
+    EXPECT_TENSOR_EQ(
+        out, tf_data.make(sizes,
+        {
+          1, 2, 3, 0, 0,
+          6, 7, 8, 0, 0,
+          0, 0, 0, 0, 0
+        }));
+
+    src = tf_data.make(
+        /*sizes=*/{2, 3, 3},
+        {
+          // [0, :, :]
+          1,  2,  3,
+          4,  5,  6,
+          7,  8,  9,
+
+          // [1, :, :]
+          10, 11, 12,
+          13, 14, 15,
+          16, 17, 18
+        });
+    // clang-format on
+    in = tf_data.ones(/*sizes=*/{2, 3, 3});
+    out = tf_data.zeros(/*sizes=*/{2, 3, 3});
+    // clang-format off
+    index = tf_index.make(
+      /*sizes=*/{1, 3, 2},
+      {
+        0, 1,
+        1, 2,
+        0, 2
+      });
+    // clang-format on
+
+    op_scatter_src_out(in, 1, index, src, out);
+    // clang-format off
+    EXPECT_TENSOR_EQ(
+        out,
+        tf_data.make(
+            /*sizes=*/{2, 3, 3},
+            {
+              // [0, :, :]
+              7, 1,  1,
+              4, 2,  1,
+              1, 8, 1,
+
+              // [1, :, :]
+              1, 1,  1,
+              1, 1,  1,
+              1, 1,  1
+            }));
+    // clang-format on
+
+    out = tf_data.zeros(/*sizes=*/{2, 3, 3});
+    op_scatter_src_out(in, 2, index, src, out);
+    // clang-format off
+    EXPECT_TENSOR_EQ(
+        out,
+        tf_data.make(
+            /*sizes=*/{2, 3, 3},
+            {
+              // [0, :, :]
+              1, 2, 1,
+              1, 4, 5,
+              7, 1, 8,
+
+              // [1, :, :]
+              1, 1, 1,
+              1, 1, 1,
+              1, 1, 1
+            }));
+    // clang-format on
+  }
+
+  // Invalid dimensions
+  template <ScalarType DATA_DTYPE>
+  void test_scatter_src_out_invalid_dim() {
+    TensorFactory<ScalarType::Long> tf_index;
+    TensorFactory<DATA_DTYPE> tf_data;
+    const std::vector<int32_t> sizes = {3, 5};
+    // clang-format off
+    Tensor src = tf_data.make(/*sizes=*/{2, 5},
+      {
+        1, 2, 3, 4, 5,
+        6, 7, 8, 9, 10
+      });
+    Tensor index = tf_index.make(/*sizes=*/{2, 3},
+      {
+        0, 1, 2,
+        0, 1, 2
+      });
+    // clang-format on
+    Tensor self = tf_data.zeros(sizes);
+    Tensor out = tf_data.zeros(sizes);
+
+    // Invalid dim should die
+    ET_EXPECT_KERNEL_FAILURE(
+        context_, op_scatter_src_out(self, -3, index, src, out));
+    ET_EXPECT_KERNEL_FAILURE(
+        context_, op_scatter_src_out(self, 2, index, src, out));
+
+    // Self, index and src hsould have same number of dimensions
+    src = tf_data.zeros(/*sizes=*/{2, 2, 2});
+    ET_EXPECT_KERNEL_FAILURE(
+        context_, op_scatter_src_out(self, 0, index, src, out));
+
+    src = tf_data.zeros(/*sizes=*/{5, 5});
+    index = tf_index.zeros(/*sizes=*/{2, 2, 2});
+    ET_EXPECT_KERNEL_FAILURE(
+        context_, op_scatter_src_out(self, 0, index, src, out));
+
+    // Size of dimension of index should be smaller than the size of that
+    // dimension of src
+    index = tf_index.zeros(/*sizes=*/{4, 6});
+    ET_EXPECT_KERNEL_FAILURE(
+        context_, op_scatter_src_out(self, 0, index, src, out));
+
+    // Size of dimension of index should be smaller than the size of that
+    // dimension of self if dimension != dim
+    index = tf_index.zeros(/*sizes=*/{4, 5});
+    ET_EXPECT_KERNEL_FAILURE(
+        context_, op_scatter_src_out(self, 1, index, src, out));
+
+    // Index out of bound for self in dim
+    index = tf_index.make(/*sizes=*/{2, 3}, {0, 1, 3, 0, 1, 3});
+    ET_EXPECT_KERNEL_FAILURE(
+        context_, op_scatter_src_out(self, 0, index, src, out));
+  }
+};
+
+class OpScatterValueOutTest : public OperatorTest {
+ protected:
+  Tensor& op_scatter_value_out(
+      const Tensor& self,
+      int64_t dim,
+      const Tensor& index,
+      const Scalar& value,
+      Tensor& out) {
+    return torch::executor::aten::scatter_outf(
+        context_, self, dim, index, value, out);
+  }
+
+  // Common testing for the operator
+  template <ScalarType DATA_DTYPE>
+  void test_scatter_value_out() {
+    TensorFactory<ScalarType::Long> tf_index;
+    TensorFactory<DATA_DTYPE> tf_data;
+
+    const Scalar& value = 1;
+
+    const std::vector<int32_t> sizes = {3, 5};
+    Tensor self = tf_data.zeros(sizes);
+    Tensor out = tf_data.zeros(sizes);
+    Tensor index = tf_index.make({2, 3}, {0, 1, 2, 0, 1, 2});
+
+    op_scatter_value_out(self, 0, index, value, out);
+    // clang-format off
+    EXPECT_TENSOR_EQ(
+        out, tf_data.make(
+          sizes,
+          {
+            1, 0, 0,  0, 0,
+            0, 1, 0,  0, 0,
+            0, 0, 1, 0, 0
+          }));
+    // clang-format on
+
+    op_scatter_value_out(self, 1, index, value, out);
+    // clang-format off
+    EXPECT_TENSOR_EQ(
+        out, tf_data.make(sizes,
+        {
+          1, 1, 1, 0, 0,
+          1, 1, 1, 0, 0,
+          0, 0, 0, 0, 0
+        }));
+
+    const Scalar& value2 = 2;
+    self = tf_data.ones(/*sizes=*/{2, 3, 3});
+    out = tf_data.zeros(/*sizes=*/{2, 3, 3});
+    // clang-format off
+    index = tf_index.make(
+      /*sizes=*/{1, 3, 2},
+      {
+        0, 1,
+        1, 2,
+        0, 2
+      });
+    // clang-format on
+
+    op_scatter_value_out(self, 1, index, value2, out);
+    // clang-format off
+    EXPECT_TENSOR_EQ(
+        out,
+        tf_data.make(
+            /*sizes=*/{2, 3, 3},
+            {
+              // [0, :, :]
+              2, 1, 1,
+              2, 2, 1,
+              1, 2, 1,
+
+              // [1, :, :]
+              1, 1, 1,
+              1, 1, 1,
+              1, 1, 1
+            }));
+    // clang-format on
+
+    out = tf_data.zeros(/*sizes=*/{2, 3, 3});
+    op_scatter_value_out(self, 2, index, value2, out);
+    // clang-format off
+    EXPECT_TENSOR_EQ(
+        out,
+        tf_data.make(
+            /*sizes=*/{2, 3, 3},
+            {
+              // [0, :, :]
+              2, 2, 1,
+              1, 2, 2,
+              2, 1, 2,
+
+              // [1, :, :]
+              1, 1, 1,
+              1, 1, 1,
+              1, 1, 1
+            }));
+    // clang-format on
+  }
+
+  // Invalid dimensions
+  template <ScalarType DATA_DTYPE>
+  void test_scatter_value_out_invalid_dim() {
+    TensorFactory<ScalarType::Long> tf_index;
+    TensorFactory<DATA_DTYPE> tf_data;
+    // clang-format off
+    Tensor self = tf_data.make(/*sizes=*/{2, 5},
+      {
+        1, 2, 3, 4, 5,
+        6, 7, 8, 9, 10
+      });
+    const std::vector<int32_t> sizes = {2, 3};
+    Tensor index = tf_index.make(sizes,
+      {
+        0, 1, 0,
+        1, 0, 1,
+      });
+    // clang-format on
+    const Scalar& value = 1;
+    Tensor out = tf_data.zeros(sizes);
+
+    // Invalid dim should die
+    ET_EXPECT_KERNEL_FAILURE(
+        context_, op_scatter_value_out(self, -3, index, value, out));
+    ET_EXPECT_KERNEL_FAILURE(
+        context_, op_scatter_value_out(self, 2, index, value, out));
+
+    // Self and index hsould have same number of dimensions
+    index = tf_index.zeros(/*sizes=*/{2, 2, 2});
+    ET_EXPECT_KERNEL_FAILURE(
+        context_, op_scatter_value_out(self, 0, index, value, out));
+
+    // Size of dimension of index should be smaller than the size of that
+    // dimension of self if dimension != dim
+    index = tf_index.zeros(/*sizes=*/{3, 5});
+    ET_EXPECT_KERNEL_FAILURE(
+        context_, op_scatter_value_out(self, 1, index, value, out));
+
+    // Index out of bound for self in dim
+    index = tf_index.make(/*sizes=*/{2, 3}, {0, 1, 2, 0, 1, 2});
+    ET_EXPECT_KERNEL_FAILURE(
+        context_, op_scatter_value_out(self, 0, index, value, out));
+  }
+
+  void test_dynamic_shape(
+      const std::vector<int32_t>& out_shape,
+      enum torch::executor::TensorShapeDynamism dynamism) {
+    TensorFactory<ScalarType::Int> tf;
+    TensorFactory<ScalarType::Long> tf_index;
+
+    Tensor input = tf.ones({2, 3, 4});
+    Tensor index = tf_index.zeros({2, 3, 4});
+    const Scalar& value = 1;
+    Tensor expected = tf.ones({2, 3, 4});
+    Tensor out = tf.zeros(out_shape, dynamism);
+
+    op_scatter_value_out(input, 2, index, value, out);
+    EXPECT_TENSOR_EQ(out, expected);
+  }
+};
+
+TEST_F(OpScatterSrcOutTest, AllValidInputOutputSupport) {
+#define TEST_ENTRY(CTYPE, DTYPE) test_scatter_src_out<ScalarType::DTYPE>();
+  ET_FORALL_REAL_TYPES(TEST_ENTRY);
+#undef TEST_ENTRY
+}
+
+TEST_F(OpScatterSrcOutTest, InvalidDimensionsDies) {
+#define TEST_ENTRY(CTYPE, DTYPE) \
+  test_scatter_src_out_invalid_dim<ScalarType::DTYPE>();
+  ET_FORALL_REAL_TYPES(TEST_ENTRY);
+#undef TEST_ENTRY
+}
+
+TEST_F(OpScatterValueOutTest, AllValidInputOutputSupport) {
+#define TEST_ENTRY(CTYPE, DTYPE) test_scatter_value_out<ScalarType::DTYPE>();
+  ET_FORALL_REAL_TYPES(TEST_ENTRY);
+#undef TEST_ENTRY
+}
+
+TEST_F(OpScatterValueOutTest, InfinityAndNANTest) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+  // clang-format off
+  Tensor self = tf_data.make(
+      /*sizes=*/{2, 5},
+      {
+        0.0, -INFINITY,        NAN,      2.33, NAN,
+        NAN,  INFINITY,  -INFINITY, -INFINITY, 2.33
+      });
+  // clang-format on
+  Tensor index = tf_index.make({2, 3}, {0, 1, 0, 1, 0, 1});
+  const Scalar& value = INFINITY;
+  Tensor out = tf_data.zeros({2, 5});
+
+  // Valid input should give the expected output
+  op_scatter_value_out(self, 0, index, value, out);
+  // clang-format off
+  EXPECT_TENSOR_CLOSE(
+      out,
+      tf_data.make(/*sizes=*/{2, 5},
+      {
+        INFINITY, INFINITY, INFINITY,      2.33, NAN,
+        INFINITY, INFINITY, INFINITY, -INFINITY, 2.33
+      }));
+  // clang-format on
+}
+
+TEST_F(OpScatterValueOutTest, InvalidDimensionsDies) {
+#define TEST_ENTRY(CTYPE, DTYPE) \
+  test_scatter_value_out_invalid_dim<ScalarType::DTYPE>();
+  ET_FORALL_REAL_TYPES(TEST_ENTRY);
+#undef TEST_ENTRY
+}
+
+TEST_F(OpScatterValueOutTest, MismatchedInputDtypesDies) {
+  TensorFactory<ScalarType::Byte> tf_byte;
+  TensorFactory<ScalarType::Char> tf_char;
+  TensorFactory<ScalarType::Long> tf_long;
+
+  Tensor self = tf_char.make({2, 5}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10});
+  const std::vector<int32_t> sizes = {2, 3};
+  Tensor index = tf_byte.make(sizes, {0, 1, 0, 0, 1, 0});
+  const Scalar& value = 5;
+  Tensor out = tf_char.zeros(sizes);
+
+  // Types other than long for index should die
+  ET_EXPECT_KERNEL_FAILURE(
+      context_, op_scatter_value_out(self, 0, index, value, out));
+
+  // Mismatched dtype of self and out should die
+  self = tf_byte.make(/*sizes=*/{2, 5}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10});
+  index = tf_long.make(sizes, {0, 1, 0, 1, 0, 1});
+  out = tf_char.zeros(sizes);
+  ET_EXPECT_KERNEL_FAILURE(
+      context_, op_scatter_value_out(self, 0, index, value, out));
+}
+
+TEST_F(OpScatterValueOutTest, DynamicShapeUpperBoundSameAsExpected) {
+  test_dynamic_shape(
+      {2, 3, 4}, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND);
+}
+
+TEST_F(OpScatterValueOutTest, DynamicShapeUpperBoundLargerThanExpected) {
+  test_dynamic_shape(
+      {10, 10, 10}, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND);
+}
+
+TEST_F(OpScatterValueOutTest, DynamicShapeUnbound) {
+  if (!torch::executor::testing::SupportedFeatures::get()->output_resize) {
+    GTEST_SKIP() << "Dynamic shape not supported";
+  }
+  test_dynamic_shape(
+      {1, 1, 1}, torch::executor::TensorShapeDynamism::DYNAMIC_UNBOUND);
+}
+
+TEST_F(OpScatterValueOutTest, EmptyIndex) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.ones({2, 5});
+  Tensor index = tf_index.zeros({2, 0, 3});
+  const Scalar& value = 5;
+  Tensor out = tf_data.zeros({2, 5});
+  op_scatter_value_out(self, 0, index, value, out);
+  EXPECT_TENSOR_CLOSE(out, tf_data.ones({2, 5}));
+}
+
+TEST_F(OpScatterValueOutTest, ValidZeroDim) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.make({}, {3.14});
+  Tensor index = tf_index.zeros({});
+  const Scalar& value = 5;
+  Tensor out = tf_data.zeros({});
+  op_scatter_value_out(self, 0, index, value, out);
+  EXPECT_TENSOR_CLOSE(out, tf_data.make({}, {5}));
+}
+
+TEST_F(OpScatterValueOutTest, InvalidZeroDimInput) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.ones({});
+  Tensor index = tf_index.make({2, 3}, {0, 0, 0, 0, 0, 0});
+  const Scalar& value = 5;
+  Tensor out = tf_data.zeros({});
+  ET_EXPECT_KERNEL_FAILURE(
+      context_, op_scatter_value_out(self, 0, index, value, out));
+}
+
+TEST_F(OpScatterValueOutTest, InvalidZeroDimIndex) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.make({2, 3}, {1, 2, 3, 4, 5, 6});
+  Tensor index = tf_index.make({}, {2});
+  const Scalar& value = 5;
+  Tensor out = tf_data.zeros({2, 3});
+  ET_EXPECT_KERNEL_FAILURE(
+      context_, op_scatter_value_out(self, 1, index, value, out));
+}
+
+TEST_F(OpScatterValueOutTest, ValidZeroDimInputAndOneDimIndex) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.make({}, {3.14});
+  Tensor index = tf_index.make({3}, {0, 0, 0});
+  const Scalar& value = 5;
+  Tensor out = tf_data.make({}, {2.71});
+  op_scatter_value_out(self, 0, index, value, out);
+  EXPECT_TENSOR_CLOSE(out, tf_data.make({}, {5}));
+}
+
+TEST_F(OpScatterValueOutTest, ValidOneDimInputAndZeroDimIndex) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.make({3}, {10, 20, 30});
+  Tensor index = tf_index.make({}, {2});
+  const Scalar& value = 5;
+  Tensor out = tf_data.make({3}, {1729, 1729, 1729});
+  op_scatter_value_out(self, 0, index, value, out);
+  EXPECT_TENSOR_CLOSE(out, tf_data.make({3}, {10, 20, 5}));
+}
+
+TEST_F(OpScatterValueOutTest, InvalidZeroDimInputAndOneDimIndex) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.make({}, {3.14});
+  Tensor index = tf_index.make({3}, {10, 100, 1000});
+  const Scalar& value = 5;
+  Tensor out = tf_data.make({}, {2.71});
+  ET_EXPECT_KERNEL_FAILURE(
+      context_, op_scatter_value_out(self, 0, index, value, out));
+}
+
+TEST_F(OpScatterValueOutTest, InvalidOneDimInputAndZeroDimIndex) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.make({3}, {10, 20, 30});
+  Tensor index = tf_index.make({}, {100});
+  const Scalar& value = 5;
+  Tensor out = tf_data.make({3}, {1729, 1729, 1729});
+  ET_EXPECT_KERNEL_FAILURE(
+      context_, op_scatter_value_out(self, 0, index, value, out));
+}
+
+TEST_F(OpScatterSrcOutTest, EmptyIndex) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.ones({2, 5});
+  Tensor index = tf_index.zeros({2, 0, 3});
+  Tensor src = tf_data.ones({1, 1, 4});
+  Tensor out = tf_data.zeros({2, 5});
+  op_scatter_src_out(self, 0, index, src, out);
+  EXPECT_TENSOR_CLOSE(out, tf_data.ones({2, 5}));
+}
+
+TEST_F(OpScatterSrcOutTest, ValidZeroDim) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.make({}, {3.14});
+  Tensor index = tf_index.zeros({});
+  Tensor src = tf_data.make({}, {5});
+  Tensor out = tf_data.zeros({});
+  op_scatter_src_out(self, 0, index, src, out);
+  EXPECT_TENSOR_CLOSE(out, tf_data.make({}, {5}));
+}
+
+TEST_F(OpScatterSrcOutTest, InvalidZeroDimInput) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.ones({});
+  Tensor index = tf_index.make({2, 3}, {0, 0, 0, 0, 0, 0});
+  Tensor src = tf_data.make({}, {5});
+  Tensor out = tf_data.zeros({});
+  ET_EXPECT_KERNEL_FAILURE(
+      context_, op_scatter_src_out(self, 0, index, src, out));
+}
+
+TEST_F(OpScatterSrcOutTest, InvalidZeroDimIndex) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.make({2, 3}, {1, 2, 3, 4, 5, 6});
+  Tensor index = tf_index.make({}, {2});
+  Tensor src = tf_data.make({}, {5});
+  Tensor out = tf_data.zeros({2, 3});
+  ET_EXPECT_KERNEL_FAILURE(
+      context_, op_scatter_src_out(self, 1, index, src, out));
+}
+
+TEST_F(OpScatterSrcOutTest, ValidZeroDimInputAndOneDimIndex) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.make({}, {3.14});
+  Tensor index = tf_index.make({3}, {0, 0, 0});
+  Tensor src = tf_data.make({3}, {5, 5, 5});
+  Tensor out = tf_data.make({}, {2.71});
+  op_scatter_src_out(self, 0, index, src, out);
+  EXPECT_TENSOR_CLOSE(out, tf_data.make({}, {5}));
+}
+
+TEST_F(OpScatterSrcOutTest, ValidOneDimInputAndZeroDimIndex) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.make({3}, {10, 20, 30});
+  Tensor index = tf_index.make({}, {2});
+  Tensor src = tf_data.make({}, {5});
+  Tensor out = tf_data.make({3}, {1729, 1729, 1729});
+  op_scatter_src_out(self, 0, index, src, out);
+  EXPECT_TENSOR_CLOSE(out, tf_data.make({3}, {10, 20, 5}));
+}
+
+TEST_F(OpScatterSrcOutTest, InvalidZeroDimInputAndOneDimIndex) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.make({}, {3.14});
+  Tensor index = tf_index.make({3}, {10, 100, 1000});
+  Tensor src = tf_data.make({}, {5});
+  Tensor out = tf_data.make({}, {2.71});
+  ET_EXPECT_KERNEL_FAILURE(
+      context_, op_scatter_src_out(self, 0, index, src, out));
+}
+
+TEST_F(OpScatterSrcOutTest, InvalidOneDimInputAndZeroDimIndex) {
+  TensorFactory<ScalarType::Long> tf_index;
+  TensorFactory<ScalarType::Float> tf_data;
+
+  Tensor self = tf_data.make({3}, {10, 20, 30});
+  Tensor index = tf_index.make({}, {100});
+  Tensor src = tf_data.make({}, {5});
+  Tensor out = tf_data.make({3}, {1729, 1729, 1729});
+  ET_EXPECT_KERNEL_FAILURE(
+      context_, op_scatter_src_out(self, 0, index, src, out));
+}
diff --git a/kernels/test/op_slice_copy_test.cpp b/kernels/test/op_slice_copy_test.cpp
index 4c04e4bf51..9aaf6f18db 100644
--- a/kernels/test/op_slice_copy_test.cpp
+++ b/kernels/test/op_slice_copy_test.cpp
@@ -475,6 +475,25 @@ TEST_F(OpSliceCopyTensorOutTest, EmptySizeInputDies) {
           input, /*dim=*/0, /*start=*/0, /*end=*/1, /*step=*/1, out));
 }
 
+TEST_F(OpSliceCopyTensorOutTest, ZeroLengthSupported) {
+  TensorFactory<ScalarType::Int> tf;
+
+  Tensor input = tf.ones({2, 3});
+  Tensor out = tf.ones({2, 0});
+
+  Tensor expect = tf.ones({2, 0});
+
+  Tensor ret = op_slice_copy_tensor_out(
+      input, /*dim=*/1, /*start=*/1, /*end=*/1, /*step=*/1, out);
+  EXPECT_TENSOR_EQ(ret, out);
+  EXPECT_TENSOR_EQ(ret, expect);
+
+  ret = op_slice_copy_tensor_out(
+      input, /*dim=*/1, /*start=*/-1, /*end=*/-1, /*step=*/1, out);
+  EXPECT_TENSOR_EQ(ret, out);
+  EXPECT_TENSOR_EQ(ret, expect);
+}
+
 TEST_F(OpSliceCopyTensorOutTest, NonPostiveStepsDies) {
   TensorFactory<ScalarType::Int> tf;
 
diff --git a/kernels/test/op_slice_scatter_test.cpp b/kernels/test/op_slice_scatter_test.cpp
index 4901f832a3..1d5e972ef2 100644
--- a/kernels/test/op_slice_scatter_test.cpp
+++ b/kernels/test/op_slice_scatter_test.cpp
@@ -49,7 +49,7 @@ class OpSliceScatterTensorOutTest : public OperatorTest {
         5,   6,   7,   8, // [1, :]
         9,  10,  11,  12, // [2, :]
       });
-  
+
     // op_slice_scatter_out(input, src, /*dim=*/0, /*start=*/0, /*end=*/2, /*step=*/1, out),
     // src shape should equal to input[0:2:1, :]
     Tensor src = tf.make(
@@ -670,7 +670,7 @@ TEST_F(OpSliceScatterTensorOutTest, LegalStepsSupported) {
 /// zeros().
 TEST_F(OpSliceScatterTensorOutTest, AllRealDtypesSupported) {
 #define TEST_ENTRY(ctype, dtype) test_dtype<ctype, ScalarType::dtype>();
-  ET_FORALL_REAL_TYPES(TEST_ENTRY);
+  ET_FORALL_REALHBF16_TYPES(TEST_ENTRY);
 #undef TEST_ENTRY
   // TODO: Also add tests for half, complex, quantized, and other types. Easiest
   // way to do that would be to make TensorFactory support zeros() and ones()
@@ -863,3 +863,24 @@ TEST_F(OpSliceScatterTensorOutTest, DynamicShapeTest) {
   EXPECT_TENSOR_EQ(ret_default_end, out);
   EXPECT_TENSOR_EQ(ret_default_end, expected);
 }
+
+TEST_F(OpSliceScatterTensorOutTest, LargeEndValue) {
+  TensorFactory<ScalarType::Int> tf;
+
+  Tensor input = tf.zeros({1, 1, 2, 5, 3, 3});
+  Tensor src = tf.ones({1, 1, 2, 5, 3, 3});
+
+  Tensor out = tf.zeros({1, 1, 2, 5, 3, 3});
+  Tensor expected = tf.ones({1, 1, 2, 5, 3, 3});
+
+  Tensor ret = op_slice_scatter_out(
+      input,
+      src,
+      /*dim=*/1,
+      /*start=*/0,
+      /*end=*/9223372036854775807,
+      /*step=*/1,
+      out);
+  EXPECT_TENSOR_EQ(ret, out);
+  EXPECT_TENSOR_EQ(ret, expected);
+}
diff --git a/kernels/test/op_sub_test.cpp b/kernels/test/op_sub_test.cpp
index 210f9891d1..9f79551672 100644
--- a/kernels/test/op_sub_test.cpp
+++ b/kernels/test/op_sub_test.cpp
@@ -198,6 +198,31 @@ TEST_F(OpSubOutTest, BroadcastScalarSupported2) {
 
   Tensor ret = tf.make({3, 1, 1}, {6, 4, 0});
   EXPECT_TENSOR_EQ(out, ret);
+
+  std::swap(a, b);
+  out = tf.zeros({3, 1, 1});
+  op_sub_out(a, b, 1, out);
+  ret = tf.make({3, 1, 1}, {-6, -4, 0});
+  EXPECT_TENSOR_EQ(out, ret);
+}
+
+TEST_F(OpSubOutTest, BroadcastScalarRank0Supported) {
+  TensorFactory<ScalarType::Float> tf;
+
+  Tensor a = tf.make({1}, {5});
+  Tensor b = tf.make({}, {2});
+
+  Tensor out = tf.zeros({1});
+
+  op_sub_out(a, b, 1, out);
+
+  Tensor ret = tf.make({1}, {3});
+  EXPECT_TENSOR_EQ(out, ret);
+
+  op_sub_out(b, a, 1, out);
+
+  ret = tf.make({1}, {-3});
+  EXPECT_TENSOR_EQ(out, ret);
 }
 
 //
@@ -265,15 +290,15 @@ TEST_F(OpSubOutTest, BoolOutputWithIntegralInput) {
   ET_EXPECT_KERNEL_FAILURE(context_, op_sub_out(a, b, /*alpha=*/1, out));
 }
 
-TEST_F(OpSubOutTest, MismatchedInputShapesDies) {
+TEST_F(OpSubOutTest, MismatchedNonBroadcastableInputShapesDies) {
   TensorFactory<ScalarType::Int> tf;
 
   // Subtrahend and minuend with different shapes.
-  Tensor a = tf.ones(/*sizes=*/{4});
+  Tensor a = tf.ones(/*sizes=*/{4, 2});
   Tensor b = tf.ones(/*sizes=*/{2, 2});
 
   // Destination for the subtraction; matches the shape of one of the inputs.
-  Tensor out = tf.zeros(/*sizes=*/{4});
+  Tensor out = tf.zeros(/*sizes=*/{8});
 
   // Performing substraction on two mismatched tensors should cause an assertion
   // and kill the test process.
diff --git a/kernels/test/op_to_copy_test.cpp b/kernels/test/op_to_copy_test.cpp
index 1cc892dedb..0a6529e736 100644
--- a/kernels/test/op_to_copy_test.cpp
+++ b/kernels/test/op_to_copy_test.cpp
@@ -36,7 +36,9 @@ typedef std::map<
           std::type_index,
           std::variant<
             std::vector<float>,
-            std::vector<double>>>
+            std::vector<double>,
+            std::vector<exec_aten::Half>,
+            std::vector<exec_aten::BFloat16>>>
         FloatingTypeToDataMap;
 
 typedef std::map<
@@ -309,9 +311,9 @@ TEST_F(OpToTest, AllDtypesSupported) {
       ScalarType::OUTPUT_DTYPE>(test_cases);
 
 #define TEST_ENTRY(INPUT_CTYPE, INPUT_DTYPE) \
-  ET_FORALL_REAL_TYPES_WITH2(INPUT_CTYPE, INPUT_DTYPE, TEST_KERNEL);
+  ET_FORALL_REALHBF16_TYPES_WITH2(INPUT_CTYPE, INPUT_DTYPE, TEST_KERNEL);
 
-  ET_FORALL_REAL_TYPES(TEST_ENTRY);
+  ET_FORALL_REALHBF16_TYPES(TEST_ENTRY);
 
 #undef TEST_ENTRY
 #undef TEST_KERNEL
@@ -323,14 +325,14 @@ TEST_F(OpToTest, BoolTests) {
 #define TEST_TO_BOOL(INPUT_CTYPE, INPUT_DTYPE)               \
   test_runner_to_bool<INPUT_CTYPE, ScalarType::INPUT_DTYPE>( \
       test_case_to_bool, result_to_bool);
-  ET_FORALL_REAL_TYPES(TEST_TO_BOOL);
+  ET_FORALL_REALHBF16_TYPES(TEST_TO_BOOL);
 
   std::vector<uint8_t> test_case_from_bool = {true, true, false};
   std::vector<double> result_from_bool = {1.0, 1.0, 0};
 #define TEST_FROM_BOOL(OUTPUT_CTYPE, OUTPUT_DTYPE)               \
   test_runner_from_bool<OUTPUT_CTYPE, ScalarType::OUTPUT_DTYPE>( \
       test_case_from_bool, result_from_bool);
-  ET_FORALL_REAL_TYPES(TEST_FROM_BOOL);
+  ET_FORALL_REALHBF16_TYPES(TEST_FROM_BOOL);
 }
 
 TEST_F(OpToTest, NanInfSupported) {
@@ -349,9 +351,9 @@ TEST_F(OpToTest, NanInfSupported) {
       ScalarType::OUTPUT_DTYPE>(test_cases);
 
 #define TEST_ENTRY(INPUT_CTYPE, INPUT_DTYPE) \
-  ET_FORALL_FLOAT_TYPES_WITH2(INPUT_CTYPE, INPUT_DTYPE, TEST_KERNEL);
+  ET_FORALL_FLOATHBF16_TYPES_WITH2(INPUT_CTYPE, INPUT_DTYPE, TEST_KERNEL);
 
-  ET_FORALL_FLOAT_TYPES(TEST_ENTRY);
+  ET_FORALL_FLOATHBF16_TYPES(TEST_ENTRY);
 
 #undef TEST_ENTRY
 #undef TEST_KERNEL
@@ -381,6 +383,13 @@ TEST_F(OpToTest, HardcodeFloatConvertInt) {
       -0.30919688936285893988};
   // clang-format on
 
+  std::vector<exec_aten::Half> half_data;
+  std::vector<exec_aten::BFloat16> bf16_data;
+  for (auto d : double_data) {
+    half_data.emplace_back(d);
+    bf16_data.emplace_back(d);
+  }
+
   std::vector<int64_t> int64_data = {
       -1, -4, 2, -2, 3, 3, -3, -4, 3, 3, 0, 2, 0, -1, 0};
   std::vector<int32_t> int32_data = {
@@ -394,6 +403,8 @@ TEST_F(OpToTest, HardcodeFloatConvertInt) {
   FloatingTypeToDataMap floating_point_data;
   floating_point_data[typeid(float)] = float_data;
   floating_point_data[typeid(double)] = double_data;
+  floating_point_data[typeid(exec_aten::Half)] = half_data;
+  floating_point_data[typeid(exec_aten::BFloat16)] = bf16_data;
 
   // Gathering all int data together for better traversial
   IntTypeToDataMap int_data;
@@ -412,7 +423,7 @@ TEST_F(OpToTest, HardcodeFloatConvertInt) {
 #define TEST_ENTRY(INPUT_CTYPE, INPUT_DTYPE) \
   ET_FORALL_INT_TYPES_WITH2(INPUT_CTYPE, INPUT_DTYPE, TEST_KERNEL);
 
-  ET_FORALL_FLOAT_TYPES(TEST_ENTRY);
+  ET_FORALL_FLOATHBF16_TYPES(TEST_ENTRY);
 }
 
 TEST_F(OpToTest, MismatchedSizesDie) {
diff --git a/kernels/test/op_topk_test.cpp b/kernels/test/op_topk_test.cpp
new file mode 100644
index 0000000000..44a709687f
--- /dev/null
+++ b/kernels/test/op_topk_test.cpp
@@ -0,0 +1,138 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/kernels/test/FunctionHeaderWrapper.h> // Declares the operator
+#include <executorch/kernels/test/TestUtil.h>
+#include <executorch/runtime/core/exec_aten/exec_aten.h>
+#include <executorch/runtime/core/exec_aten/testing_util/tensor_factory.h>
+#include <executorch/runtime/core/exec_aten/testing_util/tensor_util.h>
+#include <executorch/runtime/platform/runtime.h>
+
+#include <gtest/gtest.h>
+
+using namespace ::testing;
+using exec_aten::IntArrayRef;
+using exec_aten::ScalarType;
+using exec_aten::Tensor;
+using executorch::runtime::MemoryAllocator;
+using torch::executor::testing::TensorFactory;
+
+class TempMemoryAllocator final : public MemoryAllocator {
+ private:
+  // We allocate a little more than requested and use that memory as a node in
+  // a linked list, pushing the allocated buffers onto a list that's iterated
+  // and freed when the KernelRuntimeContext is destroyed.
+  struct AllocationNode {
+    void* data;
+    AllocationNode* next;
+  };
+
+  AllocationNode* head_ = nullptr;
+
+ public:
+  TempMemoryAllocator() : MemoryAllocator(0, nullptr) {}
+
+  void* allocate(size_t size, size_t alignment = kDefaultAlignment) override {
+    if (!isPowerOf2(alignment)) {
+      ET_LOG(Error, "Alignment %zu is not a power of 2", alignment);
+      return nullptr;
+    }
+
+    // Allocate enough memory for the node, the data and the alignment bump.
+    size_t alloc_size = sizeof(AllocationNode) + size + alignment;
+    void* node_memory = malloc(alloc_size);
+
+    // If allocation failed, log message and return nullptr.
+    if (node_memory == nullptr) {
+      ET_LOG(Error, "Failed to allocate %zu bytes", alloc_size);
+      return nullptr;
+    }
+
+    // Compute data pointer.
+    uint8_t* data_ptr =
+        reinterpret_cast<uint8_t*>(node_memory) + sizeof(AllocationNode);
+
+    // Align the data pointer.
+    void* aligned_data_ptr = alignPointer(data_ptr, alignment);
+
+    // Assert that the alignment didn't overflow the allocated memory.
+    ET_DCHECK_MSG(
+        reinterpret_cast<uintptr_t>(aligned_data_ptr) + size <=
+            reinterpret_cast<uintptr_t>(node_memory) + alloc_size,
+        "aligned_data_ptr %p + size %zu > node_memory %p + alloc_size %zu",
+        aligned_data_ptr,
+        size,
+        node_memory,
+        alloc_size);
+
+    // Construct the node.
+    AllocationNode* new_node = reinterpret_cast<AllocationNode*>(node_memory);
+    new_node->data = aligned_data_ptr;
+    new_node->next = head_;
+    head_ = new_node;
+
+    // Return the aligned data pointer.
+    return head_->data;
+  }
+
+  void reset() override {
+    AllocationNode* current = head_;
+    while (current != nullptr) {
+      AllocationNode* next = current->next;
+      free(current);
+      current = next;
+    }
+    head_ = nullptr;
+  }
+
+  ~TempMemoryAllocator() override {
+    reset();
+  }
+};
+
+std::tuple<Tensor&, Tensor&> op_topk_values(
+    const Tensor& input,
+    int64_t k,
+    int64_t dim,
+    bool largest,
+    bool sorted,
+    Tensor& values,
+    Tensor& indices) {
+  TempMemoryAllocator allocator = TempMemoryAllocator();
+  executorch::runtime::KernelRuntimeContext context(nullptr, &allocator);
+  return torch::executor::aten::topk_outf(
+      context, input, k, dim, largest, sorted, values, indices);
+}
+
+class OpTopkValuesTest : public ::testing::Test {
+ protected:
+  void SetUp() override {
+    // Since these tests cause ET_LOG to be called, the PAL must be initialized
+    // first.
+    torch::executor::runtime_init();
+  }
+};
+
+TEST_F(OpTopkValuesTest, SmokeTest) {
+  TensorFactory<ScalarType::Float> tfFloat;
+  TensorFactory<ScalarType::Long> tfLong;
+
+  Tensor input =
+      tfFloat.make({3, 2, 2}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
+  int64_t k = 2;
+  int64_t dim = 0;
+  bool largest = true;
+  bool sorted = true;
+  Tensor values = tfFloat.zeros({2, 2, 2});
+  Tensor indices = tfLong.zeros({2, 2, 2});
+  Tensor values_expected = tfFloat.make({2, 2, 2}, {9, 10, 11, 12, 5, 6, 7, 8});
+  Tensor indices_expected = tfLong.make({2, 2, 2}, {2, 2, 2, 2, 1, 1, 1, 1});
+  op_topk_values(input, k, dim, largest, sorted, values, indices);
+  EXPECT_TENSOR_CLOSE(values, values_expected);
+  EXPECT_TENSOR_EQ(indices, indices_expected);
+}
diff --git a/kernels/test/op_trunc_test.cpp b/kernels/test/op_trunc_test.cpp
index f78fb9d37f..d380886b29 100644
--- a/kernels/test/op_trunc_test.cpp
+++ b/kernels/test/op_trunc_test.cpp
@@ -23,7 +23,7 @@ using torch::executor::testing::SupportedFeatures;
 using torch::executor::testing::TensorFactory;
 
 Tensor& op_trunc_out(const Tensor& a, Tensor& out) {
-  exec_aten::RuntimeContext context{};
+  executorch::runtime::KernelRuntimeContext context{};
   return torch::executor::aten::trunc_outf(context, a, out);
 }
 
diff --git a/kernels/test/op_where_test.cpp b/kernels/test/op_where_test.cpp
index 3388e62e2f..7ddbbef2d7 100644
--- a/kernels/test/op_where_test.cpp
+++ b/kernels/test/op_where_test.cpp
@@ -80,7 +80,7 @@ class OpWhereOutTest : public OperatorTest {
 #define ENUMERATE_TEST_ENTRY(ctype, dtype) \
   test_where<DTYPE_A, DTYPE_B, ScalarType::dtype>();
 
-    ET_FORALL_FLOAT_TYPES(ENUMERATE_TEST_ENTRY)
+    ET_FORALL_REALHBF16_TYPES(ENUMERATE_TEST_ENTRY)
 
 #undef ENUMERATE_TEST_ENTRY
   }
@@ -90,7 +90,7 @@ class OpWhereOutTest : public OperatorTest {
 #define ENUMERATE_TEST_ENTRY(ctype, dtype) \
   test_where<DTYPE_A, ScalarType::dtype, DTYPE_A>();
 
-    ET_FORALL_REAL_TYPES(ENUMERATE_TEST_ENTRY)
+    ET_FORALL_REALHBBF16_TYPES(ENUMERATE_TEST_ENTRY)
 
 #undef ENUMERATE_TEST_ENTRY
   }
@@ -148,7 +148,7 @@ class OpWhereOutTest : public OperatorTest {
 #define ENUMERATE_TEST_ENTRY(ctype, dtype) \
   test_where_enumerate_b_types<ScalarType::dtype>();
 
-    ET_FORALL_REAL_TYPES(ENUMERATE_TEST_ENTRY)
+    ET_FORALL_REALHBBF16_TYPES(ENUMERATE_TEST_ENTRY)
 
 #undef ENUMERATE_TEST_ENTRY
   }
@@ -157,7 +157,7 @@ class OpWhereOutTest : public OperatorTest {
 #define ENUMERATE_TEST_ENTRY(ctype, dtype) \
   test_where<ScalarType::dtype, ScalarType::dtype, ScalarType::dtype>();
 
-    ET_FORALL_REAL_TYPES(ENUMERATE_TEST_ENTRY)
+    ET_FORALL_REALHBF16_TYPES(ENUMERATE_TEST_ENTRY)
 
 #undef ENUMERATE_TEST_ENTRY
   }
diff --git a/kernels/test/targets.bzl b/kernels/test/targets.bzl
index 83abeeb4ab..f8ea484435 100644
--- a/kernels/test/targets.bzl
+++ b/kernels/test/targets.bzl
@@ -190,6 +190,7 @@ def define_common_targets():
     _common_op_test("op_clone_test", ["aten", "portable"])
     _common_op_test("op_constant_pad_nd_test", ["aten", "portable"])
     _common_op_test("op_convolution_test", ["aten", "portable"])
+    _common_op_test("op_convolution_backward_test", ["aten", "portable"])
     _common_op_test("op_copy_test", ["aten", "portable"])
     _common_op_test("op_cos_test", ["aten", "portable"])
     _common_op_test("op_cosh_test", ["aten", "portable"])
@@ -211,6 +212,7 @@ def define_common_targets():
     _common_op_test("op_fmod_test", ["aten", "portable"])
     _common_op_test("op_full_like_test", ["aten", "portable"])
     _common_op_test("op_full_test", ["aten", "portable"])
+    _common_op_test("op_gather_test", ["aten", "portable"])
     _common_op_test("op_ge_test", ["aten", "portable"])
     _common_op_test("op_gelu_test", ["aten", "portable", "optimized"])
     _common_op_test("op_glu_test", ["aten", "portable"])
@@ -224,6 +226,7 @@ def define_common_targets():
     _common_op_test("op_le_test", ["aten", "portable", "optimized"])
     _common_op_test("op_leaky_relu_test", ["aten", "portable"])
     _common_op_test("op_lift_fresh_copy_test", ["aten", "portable"])
+    _common_op_test("op_linear_test", ["aten", "optimized"])
     _common_op_test("op_log_softmax_test", ["aten", "portable", "optimized"])
     _common_op_test("op_log_test", ["aten", "portable"])
     _common_op_test("op_log10_test", ["aten", "portable"])
@@ -242,9 +245,9 @@ def define_common_targets():
     _common_op_test("op_mean_test", ["aten", "portable"])
     _common_op_test("op_min_test", ["aten", "portable"])
     _common_op_test("op_minimum_test", ["aten", "portable"])
-    _common_op_test("op_mm_test", ["aten", "portable"])
+    _common_op_test("op_mm_test", ["aten", "portable", "optimized"])
     _common_op_test("op_mul_test", ["aten", "portable", "optimized"])
-    _common_op_test("op_pow_test", ["aten", "portable"])
+    _common_op_test("op_narrow_copy_test", ["aten", "portable"])
     _common_op_test("op_native_batch_norm_test", ["aten", "portable"])
     _common_op_test("op_native_group_norm_test", ["aten", "portable"])
     _common_op_test("op_native_layer_norm_test", ["aten", "portable", "optimized"])
@@ -255,6 +258,8 @@ def define_common_targets():
     _common_op_test("op_pdist_forward_test", ["aten", "portable"])
     _common_op_test("op_permute_copy_test", ["aten", "portable"])
     _common_op_test("op_pixel_shuffle_test", ["aten", "portable"])
+    _common_op_test("op_pixel_unshuffle_test", ["aten", "portable"])
+    _common_op_test("op_pow_test", ["aten", "portable"])
     _common_op_test("op_prod_test", ["aten", "portable"])
     _common_op_test("op_reciprocal_test", ["aten", "portable"])
     _common_op_test("op_relu_test", ["aten", "portable"])
@@ -271,6 +276,7 @@ def define_common_targets():
     _common_op_test("op_rsqrt_test", ["aten", "portable"])
     _common_op_test("op_rsub_test", ["aten", "portable"])
     _common_op_test("op_scalar_tensor_test", ["aten", "portable"])
+    _common_op_test("op_scatter_test", ["aten", "portable"])
     _common_op_test("op_scatter_add_test", ["aten", "portable"])
     _common_op_test("op_select_scatter_test", ["aten", "portable"])
     _common_op_test("op_select_copy_test", ["aten", "portable"])
@@ -292,6 +298,7 @@ def define_common_targets():
     _common_op_test("op_tan_test", ["aten", "portable"])
     _common_op_test("op_tanh_test", ["aten", "portable"])
     _common_op_test("op_to_copy_test", ["aten", "portable"])
+    _common_op_test("op_topk_test", ["aten", "portable"])
     _common_op_test("op_transpose_copy_test", ["aten", "portable"])
     _common_op_test("op_tril_test", ["aten", "portable"])
     _common_op_test("op_trunc_test", ["aten", "portable"])
diff --git a/pyproject.toml b/pyproject.toml
index e83fe2bc2a..ec08f58185 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -68,6 +68,7 @@ dependencies=[
   "ruamel.yaml",
   "sympy",
   "tabulate",
+  "typing-extensions",
 ]
 
 [project.urls]
diff --git a/pytest.ini b/pytest.ini
index 5ed1780e61..701c0187ec 100644
--- a/pytest.ini
+++ b/pytest.ini
@@ -13,8 +13,7 @@ addopts =
     --ignore-glob=backends/arm/**/*
     # explicitly list out tests that are running successfully in oss
     examples/models/test
-    # sdk/
-    sdk/
+    devtools/
     # examples
     examples/models/llama2/tests
     # examples/models/llava/test TODO: enable this
@@ -39,6 +38,8 @@ addopts =
     test/end2end/test_end2end.py
     --ignore=backends/xnnpack/test/ops/linear.py
     --ignore=backends/xnnpack/test/models/llama2_et_example.py
+    # T200992559: Add torchao to ET as core dependency
+    --ignore=examples/models/llama2/tests/test_spinquant_transforms.py
     --ignore=exir/backend/test/demos
     --ignore=exir/backend/test/test_backends.py
     --ignore=exir/backend/test/test_backends_lifted.py
diff --git a/runtime/backend/backend_execution_context.h b/runtime/backend/backend_execution_context.h
index 403f1042e0..7890f4f952 100644
--- a/runtime/backend/backend_execution_context.h
+++ b/runtime/backend/backend_execution_context.h
@@ -11,8 +11,8 @@
 #include <executorch/runtime/core/event_tracer.h>
 #include <executorch/runtime/core/memory_allocator.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * BackendExecutionContext will be used to inject run time context.
@@ -57,5 +57,13 @@ class BackendExecutionContext final {
   MemoryAllocator* temp_allocator_ = nullptr;
 };
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::BackendExecutionContext;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/backend/backend_init_context.h b/runtime/backend/backend_init_context.h
index 11cba120e4..7541349318 100644
--- a/runtime/backend/backend_init_context.h
+++ b/runtime/backend/backend_init_context.h
@@ -9,8 +9,8 @@
 #pragma once
 #include <executorch/runtime/core/memory_allocator.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * BackendInitContext will be used to inject runtime info for to initialize
@@ -33,5 +33,13 @@ class BackendInitContext final {
   MemoryAllocator* runtime_allocator_ = nullptr;
 };
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::BackendInitContext;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/backend/interface.cpp b/runtime/backend/interface.cpp
index 3d2aa41a8d..84c0bb82d4 100644
--- a/runtime/backend/interface.cpp
+++ b/runtime/backend/interface.cpp
@@ -7,54 +7,53 @@
  */
 
 #include <executorch/runtime/backend/interface.h>
-#include <executorch/runtime/platform/assert.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
-PyTorchBackendInterface::~PyTorchBackendInterface() {}
+// Pure-virtual dtors still need an implementation.
+BackendInterface::~BackendInterface() {}
 
-// Task t128866626: Remove global static variables.
-// We want to be able to run multiple Executor instances
-// and having a global registration isn't a viable solution
-// in the long term.
-BackendRegistry& getBackendRegistry();
-BackendRegistry& getBackendRegistry() {
-  static BackendRegistry backend_reg;
-  return backend_reg;
-}
+namespace {
 
-PyTorchBackendInterface* get_backend_class(const char* name) {
-  return getBackendRegistry().get_backend_class(name);
-}
+// The max number of backends that can be registered globally.
+constexpr size_t kMaxRegisteredBackends = 16;
+
+// TODO(T128866626): Remove global static variables. We want to be able to run
+// multiple Executor instances and having a global registration isn't a viable
+// solution in the long term.
+
+/// Global table of registered backends.
+Backend registered_backends[kMaxRegisteredBackends];
 
-PyTorchBackendInterface* BackendRegistry::get_backend_class(const char* name) {
-  for (size_t idx = 0; idx < registrationTableSize_; idx++) {
-    Backend backend = backend_table_[idx];
-    if (strcmp(backend.name_, name) == 0) {
-      return backend.interface_ptr_;
+/// The number of backends registered in the table.
+size_t num_registered_backends = 0;
+
+} // namespace
+
+BackendInterface* get_backend_class(const char* name) {
+  for (size_t i = 0; i < num_registered_backends; i++) {
+    Backend backend = registered_backends[i];
+    if (strcmp(backend.name, name) == 0) {
+      return backend.backend;
     }
   }
   return nullptr;
 }
 
 Error register_backend(const Backend& backend) {
-  return getBackendRegistry().register_backend(backend);
-}
-
-Error BackendRegistry::register_backend(const Backend& backend) {
-  if (registrationTableSize_ >= kRegistrationTableMaxSize) {
+  if (num_registered_backends >= kMaxRegisteredBackends) {
     return Error::Internal;
   }
 
   // Check if the name already exists in the table
-  if (this->get_backend_class(backend.name_) != nullptr) {
+  if (get_backend_class(backend.name) != nullptr) {
     return Error::InvalidArgument;
   }
 
-  backend_table_[registrationTableSize_++] = backend;
+  registered_backends[num_registered_backends++] = backend;
   return Error::Ok;
 }
 
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
diff --git a/runtime/backend/interface.h b/runtime/backend/interface.h
index 2f98ebe9b8..c0305f68cd 100644
--- a/runtime/backend/interface.h
+++ b/runtime/backend/interface.h
@@ -20,8 +20,8 @@
 #include <executorch/runtime/core/result.h>
 #include <executorch/runtime/platform/compiler.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 struct SizedBuffer {
   void* buffer;
@@ -39,32 +39,32 @@ struct CompileSpec {
  */
 using DelegateHandle = void;
 
-class PyTorchBackendInterface {
+class BackendInterface {
  public:
-  virtual ~PyTorchBackendInterface() = 0;
+  virtual ~BackendInterface() = 0;
 
   /**
    * Returns true if the backend is available to process delegation calls.
    */
-  __ET_NODISCARD virtual bool is_available() const = 0;
+  ET_NODISCARD virtual bool is_available() const = 0;
 
   /**
    * Responsible to further process (compile/transform/optimize) the compiled
    * unit that was produced, ahead-of-time, as well as perform any backend
    * initialization to ready it for execution. This method is called every time
-   * the PyTorch program is initialized. Consequently, this is the place to
+   * the ExecuTorch program is initialized. Consequently, this is the place to
    * perform any backend initialization as well as transformations,
    * optimizations, and even compilation that depend on the target device. As
    * such, it is strongly encouraged to push as much processing as possible to
    * the ahead-of-time processing.
    *
-   * @param[in] processed An opaque (to PyTorch) compiled unit from the
-   *     preprocessor. Can contain anything the backend needs to execute the
-   *     equivalent semantics of the passed-in Module and its method. Often
-   *     passed unmodified to `execute()` as a `DelegateHandle`, unless it needs
-   *     further processing at init time to be fully executable. If the data is
-   *     not needed after init(), calling processed->Free() can reclaim its
-   *     memory.
+   * @param[in] processed An opaque (to ExecuTorch) backend-specific compiled
+   *     unit from the preprocessor. Can contain anything the backend needs to
+   *     execute the equivalent semantics of the passed-in Module and its
+   *     method. Often passed unmodified to `execute()` as a `DelegateHandle`,
+   *     unless it needs further processing at init time to be fully executable.
+   *     If the data is not needed after init(), calling processed->Free() can
+   *     reclaim its memory.
    * @param[in] compile_specs The exact same compiler specification that
    *     was used ahead-of-time to produce `processed`.
    *
@@ -78,7 +78,7 @@ class PyTorchBackendInterface {
    *     Error::DelegateInvalidCompatibility. Other backend delegate
    *     specific error codes can be found in error.h.
    */
-  __ET_NODISCARD virtual Result<DelegateHandle*> init(
+  ET_NODISCARD virtual Result<DelegateHandle*> init(
       BackendInitContext& context,
       FreeableBuffer* processed,
       ArrayRef<CompileSpec> compile_specs) const = 0;
@@ -93,7 +93,7 @@ class PyTorchBackendInterface {
    * @param[in] args The method’s inputs and outputs.
    * @retval Error::Ok if successful.
    */
-  __ET_NODISCARD virtual Error execute(
+  ET_NODISCARD virtual Error execute(
       BackendExecutionContext& context,
       DelegateHandle* handle,
       EValue** args) const = 0;
@@ -107,47 +107,7 @@ class PyTorchBackendInterface {
    * @param[in] handle The handle to be destroyed. An opaque handle returned by
    *     `init()`.
    */
-  virtual void destroy(__ET_UNUSED DelegateHandle* handle) const {}
-};
-
-struct Backend {
-  const char* name_;
-  PyTorchBackendInterface* interface_ptr_;
-};
-
-// The max number of backends that can be registered in
-// an app. It's hard coded to 16 because it's not estimated
-// to have more than 16 backends in a system. Each table
-// element has two pointers, represented by Backend struct.
-// The memory overhead for this table is minimum (only a few bytes).
-constexpr size_t kRegistrationTableMaxSize = 16;
-
-class BackendRegistry {
- public:
-  BackendRegistry() : registrationTableSize_(0) {}
-
-  /**
-   * Registers the Backend object (i.e. string name and PyTorchBackendInterface
-   * pair) so that it could be called via the name during the runtime.
-   * @param[in] backend Backend object of the user-defined backend delegate.
-   * @retval Error code representing whether registration was successful.
-   */
-  __ET_NODISCARD Error register_backend(const Backend& backend);
-
-  /**
-   * Returns the corresponding object pointer for a given string name.
-   * The mapping is populated using register_backend method.
-   *
-   * @param[in] name Name of the user-defined backend delegate.
-   * @retval Pointer to the appropriate object that implements
-   *         PyTorchBackendInterface. Nullptr if it can't find anything
-   *         with the given name.
-   */
-  PyTorchBackendInterface* get_backend_class(const char* name);
-
- private:
-  Backend backend_table_[kRegistrationTableMaxSize];
-  size_t registrationTableSize_;
+  virtual void destroy(ET_UNUSED DelegateHandle* handle) const {}
 };
 
 /**
@@ -155,20 +115,43 @@ class BackendRegistry {
  * The mapping is populated using register_backend method.
  *
  * @param[in] name Name of the user-defined backend delegate.
- * @retval Pointer to the appropriate object that implements
- *         PyTorchBackendInterface. Nullptr if it can't find anything
- *         with the given name.
+ * @retval Pointer to the appropriate object that implements BackendInterface.
+ *         Nullptr if it can't find anything with the given name.
+ */
+BackendInterface* get_backend_class(const char* name);
+
+/**
+ * A named instance of a backend.
  */
-PyTorchBackendInterface* get_backend_class(const char* name);
+struct Backend {
+  /// The name of the backend. Must match the string used in the PTE file.
+  const char* name;
+  /// The instance of the backend to use when loading and executing programs.
+  BackendInterface* backend;
+};
 
 /**
- * Registers the Backend object (i.e. string name and PyTorchBackendInterface
- * pair) so that it could be called via the name during the runtime.
+ * Registers the Backend object (i.e. string name and BackendInterface pair) so
+ * that it could be called via the name during the runtime.
  *
  * @param[in] backend Backend object
  * @retval Error code representing whether registration was successful.
  */
-__ET_NODISCARD Error register_backend(const Backend& backend);
+ET_NODISCARD Error register_backend(const Backend& backend);
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::Backend;
+using ::executorch::runtime::CompileSpec;
+using ::executorch::runtime::DelegateHandle;
+using ::executorch::runtime::get_backend_class;
+using ::executorch::runtime::register_backend;
+using ::executorch::runtime::SizedBuffer;
+using PyTorchBackendInterface = ::executorch::runtime::BackendInterface;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/array_ref.h b/runtime/core/array_ref.h
index 07e7bf65c0..463284d9c6 100644
--- a/runtime/core/array_ref.h
+++ b/runtime/core/array_ref.h
@@ -31,8 +31,8 @@
 
 #include <executorch/runtime/platform/assert.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * Represents a constant reference to an array (0 or more elements
@@ -236,5 +236,15 @@ bool operator!=(ArrayRef<T> a1, ArrayRef<T> a2) {
 
 using IntArrayRef = ArrayRef<int64_t>;
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::ArrayRef;
+using ::executorch::runtime::IntArrayRef;
+using ::executorch::runtime::makeArrayRef;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/data_loader.h b/runtime/core/data_loader.h
index 9c18047037..876212de8f 100644
--- a/runtime/core/data_loader.h
+++ b/runtime/core/data_loader.h
@@ -14,8 +14,8 @@
 #include <executorch/runtime/core/result.h>
 #include <executorch/runtime/platform/compiler.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * Loads from a data source.
@@ -44,6 +44,10 @@ class DataLoader {
        * Data used for initializing a backend.
        */
       Backend,
+      /**
+       * Data used for initializing mutable tensors.
+       */
+      Mutable,
     };
 
     /// Type of the segment.
@@ -83,14 +87,51 @@ class DataLoader {
    *
    * @returns a `FreeableBuffer` that owns the loaded data.
    */
-  __ET_NODISCARD virtual Result<FreeableBuffer>
-  load(size_t offset, size_t size, const SegmentInfo& segment_info) = 0;
+  ET_NODISCARD virtual Result<FreeableBuffer>
+  load(size_t offset, size_t size, const SegmentInfo& segment_info) const = 0;
+
+  /**
+   * Loads data from the underlying data source into the provided buffer.
+   *
+   * NOTE: This must be thread-safe. If this call modifies common state, the
+   * implementation must do its own locking.
+   *
+   * @param offset The byte offset in the data source to start loading from.
+   * @param size The number of bytes to load.
+   * @param segment_info Information about the segment being loaded.
+   * @param buffer The buffer to load data into. Must point to at least `size`
+   * bytes of memory.
+   *
+   * @returns an Error indicating if the load was successful.
+   */
+  ET_NODISCARD virtual Error load_into(
+      size_t offset,
+      size_t size,
+      const SegmentInfo& segment_info,
+      void* buffer) const {
+    // Using a stub implementation here instead of pure virtual to expand the
+    // data_loader interface in a backwards compatible way.
+    (void)buffer;
+    (void)offset;
+    (void)size;
+    (void)segment_info;
+    ET_LOG(Error, "load_into() not implemented for this data loader.");
+    return Error::NotImplemented;
+  }
 
   /**
    * Returns the length of the underlying data source, typically the file size.
    */
-  __ET_NODISCARD virtual Result<size_t> size() const = 0;
+  ET_NODISCARD virtual Result<size_t> size() const = 0;
 };
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::DataLoader;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/error.h b/runtime/core/error.h
index 889e5804d5..4babb4d148 100644
--- a/runtime/core/error.h
+++ b/runtime/core/error.h
@@ -17,8 +17,8 @@
 
 #include <executorch/runtime/platform/log.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 // Alias error code integral type to minimal platform width (32-bits for now).
 typedef uint32_t error_code_t;
@@ -92,13 +92,22 @@ enum class Error : error_code_t {
 
 };
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::Error;
+using ::executorch::runtime::error_code_t;
 } // namespace executor
 } // namespace torch
 
 /**
  * If cond__ is false, log the specified message and return the specified Error
  * from the current function, which must be of return type
- * torch::executor::Error.
+ * executorch::runtime::Error.
  *
  * @param[in] cond__ The condition to be checked, asserted as true.
  * @param[in] error__ Error enum value to return without the `Error::` prefix,
@@ -110,14 +119,14 @@ enum class Error : error_code_t {
   {                                                               \
     if (!(cond__)) {                                              \
       ET_LOG(Error, message__, ##__VA_ARGS__);                    \
-      return ::torch::executor::Error::error__;                   \
+      return ::executorch::runtime::Error::error__;               \
     }                                                             \
   }
 
 /**
  * If error__ is not Error::Ok, optionally log a message and return the error
  * from the current function, which must be of return type
- * torch::executor::Error.
+ * executorch::runtime::Error.
  *
  * @param[in] error__ Error enum value asserted to be Error::Ok.
  * @param[in] ... Optional format string for the log error message and its
@@ -161,19 +170,19 @@ enum class Error : error_code_t {
   ET_INTERNAL_CHECK_OK_OR_RETURN_ERROR_##N
 
 // Internal only: Use ET_CHECK_OK_OR_RETURN_ERROR() instead.
-#define ET_INTERNAL_CHECK_OK_OR_RETURN_ERROR_1(error__) \
-  do {                                                  \
-    const auto et_error__ = (error__);                  \
-    if (et_error__ != ::torch::executor::Error::Ok) {   \
-      return et_error__;                                \
-    }                                                   \
+#define ET_INTERNAL_CHECK_OK_OR_RETURN_ERROR_1(error__)   \
+  do {                                                    \
+    const auto et_error__ = (error__);                    \
+    if (et_error__ != ::executorch::runtime::Error::Ok) { \
+      return et_error__;                                  \
+    }                                                     \
   } while (0)
 
 // Internal only: Use ET_CHECK_OK_OR_RETURN_ERROR() instead.
 #define ET_INTERNAL_CHECK_OK_OR_RETURN_ERROR_2(error__, message__, ...) \
   do {                                                                  \
     const auto et_error__ = (error__);                                  \
-    if (et_error__ != ::torch::executor::Error::Ok) {                   \
+    if (et_error__ != ::executorch::runtime::Error::Ok) {               \
       ET_LOG(Error, message__, ##__VA_ARGS__);                          \
       return et_error__;                                                \
     }                                                                   \
diff --git a/runtime/core/evalue.cpp b/runtime/core/evalue.cpp
index b3ff59eff1..adc3c7f47b 100644
--- a/runtime/core/evalue.cpp
+++ b/runtime/core/evalue.cpp
@@ -8,8 +8,8 @@
 
 #include <executorch/runtime/core/evalue.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 template <>
 exec_aten::ArrayRef<exec_aten::optional<exec_aten::Tensor>>
 BoxedEvalueList<exec_aten::optional<exec_aten::Tensor>>::get() const {
@@ -27,5 +27,5 @@ BoxedEvalueList<exec_aten::optional<exec_aten::Tensor>>::get() const {
   return exec_aten::ArrayRef<exec_aten::optional<exec_aten::Tensor>>{
       unwrapped_vals_, wrapped_vals_.size()};
 }
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
diff --git a/runtime/core/evalue.h b/runtime/core/evalue.h
index 2b3029971e..d2e57c35d4 100644
--- a/runtime/core/evalue.h
+++ b/runtime/core/evalue.h
@@ -11,11 +11,13 @@
 #include <executorch/runtime/core/tag.h>
 #include <executorch/runtime/platform/assert.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 struct EValue;
 
+namespace internal {
+
 // Tensor gets proper reference treatment because its expensive to copy in aten
 // mode, all other types are just copied.
 template <typename T>
@@ -38,6 +40,8 @@ struct evalue_to_ref_overload_return<exec_aten::Tensor> {
   using type = exec_aten::Tensor&;
 };
 
+} // namespace internal
+
 /*
  * Helper class used to correlate EValues in the executor table, with the
  * unwrapped list of the proper type. Because values in the runtime's values
@@ -234,6 +238,25 @@ struct EValue {
     new (&payload.as_tensor) exec_aten::Tensor(t);
   }
 
+  // Template constructor that allows construction from types that can be
+  // dereferenced to produce a type that EValue can be implicitly constructed
+  // from.
+  template <typename T>
+  /*implicit*/ EValue(
+      T&& value,
+      typename std::enable_if<std::is_convertible<
+          decltype(*std::forward<T>(value)),
+          EValue>::value>::type* = 0) {
+    ET_CHECK_MSG(value != nullptr, "Pointer is null.");
+    // Note that this ctor does not initialize this->tag directly; it is set by
+    // moving in the new value.
+    moveFrom(*std::forward<T>(value));
+  }
+
+  // Delete constructor for raw pointers to ensure they cannot be used.
+  template <typename T>
+  explicit EValue(T* value) = delete;
+
   bool isTensor() const {
     return tag == Tag::Tensor;
   }
@@ -371,9 +394,9 @@ struct EValue {
   template <typename T>
   T to() &&;
   template <typename T>
-  typename evalue_to_const_ref_overload_return<T>::type to() const&;
+  typename internal::evalue_to_const_ref_overload_return<T>::type to() const&;
   template <typename T>
-  typename evalue_to_ref_overload_return<T>::type to() &;
+  typename internal::evalue_to_ref_overload_return<T>::type to() &;
 
   /**
    * Converts the EValue to an optional object that can represent both T and
@@ -441,13 +464,19 @@ struct EValue {
     return static_cast<T>(std::move(*this).method_name());                     \
   }                                                                            \
   template <>                                                                  \
-  inline evalue_to_const_ref_overload_return<T>::type EValue::to<T>() const& { \
-    typedef evalue_to_const_ref_overload_return<T>::type return_type;          \
+  inline ::executorch::runtime::internal::evalue_to_const_ref_overload_return< \
+      T>::type                                                                 \
+  EValue::to<T>() const& {                                                     \
+    typedef ::executorch::runtime::internal::                                  \
+        evalue_to_const_ref_overload_return<T>::type return_type;              \
     return static_cast<return_type>(this->method_name());                      \
   }                                                                            \
   template <>                                                                  \
-  inline evalue_to_ref_overload_return<T>::type EValue::to<T>()& {             \
-    typedef evalue_to_ref_overload_return<T>::type return_type;                \
+  inline ::executorch::runtime::internal::evalue_to_ref_overload_return<       \
+      T>::type                                                                 \
+  EValue::to<T>()& {                                                           \
+    typedef ::executorch::runtime::internal::evalue_to_ref_overload_return<    \
+        T>::type return_type;                                                  \
     return static_cast<return_type>(this->method_name());                      \
   }
 
@@ -507,5 +536,14 @@ exec_aten::ArrayRef<T> BoxedEvalueList<T>::get() const {
   return exec_aten::ArrayRef<T>{unwrapped_vals_, wrapped_vals_.size()};
 }
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::BoxedEvalueList;
+using ::executorch::runtime::EValue;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/event_tracer.h b/runtime/core/event_tracer.h
index 55549ddea5..5a26d24ca4 100644
--- a/runtime/core/event_tracer.h
+++ b/runtime/core/event_tracer.h
@@ -14,8 +14,8 @@
 
 #pragma once
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /// Represents an allocator id returned by track_allocator.
 typedef uint32_t AllocatorID;
@@ -97,7 +97,7 @@ struct EventTracerEntry {
  * EventTracer is a class that users can inherit and implement to
  * log/serialize/stream etc. the profiling and debugging events that are
  * generated at runtime for a model. An example of this is the ETDump
- * implementation in the SDK codebase that serializes these events to a
+ * implementation in the devtools codebase that serializes these events to a
  * flatbuffer.
  */
 class EventTracer {
@@ -275,7 +275,7 @@ class EventTracer {
   virtual void log_intermediate_output_delegate(
       const char* name,
       DebugHandle delegate_debug_index,
-      const Tensor& output) = 0;
+      const exec_aten::Tensor& output) = 0;
 
   /**
    * Log an intermediate tensor array output from a delegate.
@@ -295,7 +295,7 @@ class EventTracer {
   virtual void log_intermediate_output_delegate(
       const char* name,
       DebugHandle delegate_debug_index,
-      const ArrayRef<Tensor> output) = 0;
+      const ArrayRef<exec_aten::Tensor> output) = 0;
 
   /**
    * Log an intermediate int output from a delegate.
@@ -460,5 +460,23 @@ class EventTracer {
       EventTracerDebugLogLevel::kNoLogging;
 };
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::AllocatorID;
+using ::executorch::runtime::ChainID;
+using ::executorch::runtime::DebugHandle;
+using ::executorch::runtime::DelegateDebugIdType;
+using ::executorch::runtime::EventTracer;
+using ::executorch::runtime::EventTracerDebugLogLevel;
+using ::executorch::runtime::EventTracerEntry;
+using ::executorch::runtime::kUnsetBundledInputIndex;
+using ::executorch::runtime::kUnsetChainId;
+using ::executorch::runtime::kUnsetDebugHandle;
+using ::executorch::runtime::LoggedEValueType;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/event_tracer_hooks.h b/runtime/core/event_tracer_hooks.h
index 48ba694e61..76fa17f62a 100644
--- a/runtime/core/event_tracer_hooks.h
+++ b/runtime/core/event_tracer_hooks.h
@@ -23,10 +23,14 @@
  * The benefit of defining these hooks is that we can easily control whether or
  * not we want to compile in the EventTracer code based on the status of the
  * ET_EVENT_TRACER_ENABLED flag.
+ *
+ * TODO(dbort): Make this a private header of runtime/executor. It only contains
+ * runtime-internal functions and should not be part of the public set of
+ * headers.
  */
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 namespace internal {
 
 /**
@@ -249,6 +253,25 @@ inline void event_tracer_set_bundled_input_index(
 #endif
 }
 
+} // namespace internal
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+namespace internal {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::internal::event_tracer_begin_profiling_event;
+using ::executorch::runtime::internal::event_tracer_create_event_block;
+using ::executorch::runtime::internal::event_tracer_end_profiling_event;
+using ::executorch::runtime::internal::event_tracer_log_evalue;
+using ::executorch::runtime::internal::event_tracer_log_evalue_output;
+using ::executorch::runtime::internal::event_tracer_set_bundled_input_index;
+using ::executorch::runtime::internal::event_tracer_track_allocation;
+using ::executorch::runtime::internal::event_tracer_track_allocator;
+using ::executorch::runtime::internal::EventTracerProfileInstructionScope;
+using ::executorch::runtime::internal::EventTracerProfileScope;
 } // namespace internal
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/event_tracer_hooks_delegate.h b/runtime/core/event_tracer_hooks_delegate.h
index 0229460942..477187e002 100644
--- a/runtime/core/event_tracer_hooks_delegate.h
+++ b/runtime/core/event_tracer_hooks_delegate.h
@@ -27,8 +27,8 @@
  * ET_EVENT_TRACER_ENABLED flag.
  */
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * Start the profiling of a delegate event. Similar to start_profiling it will
@@ -62,6 +62,7 @@ inline EventTracerEntry event_tracer_start_profiling_delegate(
   // There is no active tracer; this value will be ignored.
   return EventTracerEntry();
 }
+
 /**
  * Signal the end of the delegate profiling event contained in
  * event_tracer_entry. Users also have the option to log some some free-from
@@ -174,8 +175,9 @@ inline void event_tracer_log_output_delegate(
   if (event_tracer) {
     static_assert(
         std::is_same<T, int>::value || std::is_same<T, bool>::value ||
-            std::is_same<T, double>::value || std::is_same<T, Tensor>::value ||
-            std::is_same<T, ArrayRef<Tensor>>::value,
+            std::is_same<T, double>::value ||
+            std::is_same<T, exec_aten::Tensor>::value ||
+            std::is_same<T, ArrayRef<exec_aten::Tensor>>::value,
         "Unsupported type for intermediate output");
     event_tracer->log_intermediate_output_delegate(
         name, delegate_debug_id, output);
@@ -187,5 +189,16 @@ inline void event_tracer_log_output_delegate(
 #endif
 }
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::event_tracer_end_profiling_delegate;
+using ::executorch::runtime::event_tracer_log_output_delegate;
+using ::executorch::runtime::event_tracer_log_profiling_delegate;
+using ::executorch::runtime::event_tracer_start_profiling_delegate;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/exec_aten/exec_aten.h b/runtime/core/exec_aten/exec_aten.h
index 919b5420b3..207b95bc07 100644
--- a/runtime/core/exec_aten/exec_aten.h
+++ b/runtime/core/exec_aten/exec_aten.h
@@ -17,6 +17,7 @@
 #include <c10/core/MemoryFormat.h> // @manual
 #include <c10/core/Scalar.h> // @manual
 #include <c10/util/ArrayRef.h> // @manual
+#include <c10/util/BFloat16-math.h> // @manual
 #include <c10/util/BFloat16.h> // @manual
 #include <c10/util/Half.h> // @manual
 #include <c10/util/Optional.h> // @manual
@@ -31,6 +32,7 @@
 #else // use executor
 #include <executorch/runtime/core/array_ref.h> // @manual
 #include <executorch/runtime/core/portable_type/bfloat16.h> // @manual
+#include <executorch/runtime/core/portable_type/bfloat16_math.h> // @manual
 #include <executorch/runtime/core/portable_type/complex.h> // @manual
 #include <executorch/runtime/core/portable_type/device.h> // @manual
 #include <executorch/runtime/core/portable_type/half.h> // @manual
@@ -44,9 +46,10 @@
 
 #endif
 
-namespace exec_aten {
+namespace executorch {
+namespace aten {
 
-using TensorShapeDynamism = torch::executor::TensorShapeDynamism;
+using TensorShapeDynamism = executorch::runtime::TensorShapeDynamism;
 
 #ifdef USE_ATEN_LIB
 
@@ -85,6 +88,11 @@ using IntArrayRef = at::IntArrayRef;
 template <typename T>
 using OptionalArrayRef = c10::OptionalArrayRef<T>;
 
+inline ssize_t compute_numel(const SizesType* sizes, ssize_t dim) {
+  return static_cast<ssize_t>(
+      c10::multiply_integers(c10::ArrayRef<SizesType>(sizes, dim)));
+}
+
 #else // Use executor types
 
 using Tensor = torch::executor::Tensor;
@@ -125,12 +133,19 @@ template <typename T>
 using OptionalArrayRef =
     torch::executor::optional<torch::executor::ArrayRef<T>>;
 
-#endif // Use executor types
+using torch::executor::compute_numel;
+
+#endif // Use ExecuTorch types
+
+} // namespace aten
+} // namespace executorch
+
+// DEPRECATED: The exec_aten:: namespace is deprecated. Use executorch::aten::
+// instead.
+namespace exec_aten = executorch::aten;
 
-} // namespace exec_aten
 namespace torch {
 namespace executor {
 using TensorList = exec_aten::TensorList;
-
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/exec_aten/testing_util/targets.bzl b/runtime/core/exec_aten/testing_util/targets.bzl
index 3b0e78f03b..d3219c5883 100644
--- a/runtime/core/exec_aten/testing_util/targets.bzl
+++ b/runtime/core/exec_aten/testing_util/targets.bzl
@@ -23,15 +23,16 @@ def define_common_targets():
                 # list.
                 "//executorch/runtime/core/exec_aten/util/test/...",
                 "//executorch/runtime/core/exec_aten/testing_util/test/...",
+                "//executorch/runtime/core/portable_type/test/...",
                 "//executorch/kernels/prim_ops/test/...",
                 "//executorch/kernels/portable/test/...",
                 "//executorch/kernels/portable/cpu/util/test/...",
                 "//executorch/kernels/quantized/test/...",
                 "//executorch/kernels/optimized/test/...",
                 "//executorch/kernels/test/...",
+                "//executorch/kernels/fb/custom_ops/...",
                 "//executorch/runtime/core/test/...",
                 "//executorch/test/...",
-                "//executorch/util/...",
                 "//executorch/backends/fb/qnnpack/test/...",
                 "//executorch/extension/kernel_util/test/...",
                 "@EXECUTORCH_CLIENTS",
diff --git a/runtime/core/exec_aten/testing_util/tensor_factory.h b/runtime/core/exec_aten/testing_util/tensor_factory.h
index a35802ec7c..3045af5581 100644
--- a/runtime/core/exec_aten/testing_util/tensor_factory.h
+++ b/runtime/core/exec_aten/testing_util/tensor_factory.h
@@ -3,8 +3,10 @@
 #pragma once
 
 #include <algorithm>
+#include <cstdint>
 
 #include <executorch/runtime/core/exec_aten/exec_aten.h>
+#include <executorch/runtime/core/exec_aten/util/dim_order_util.h>
 #include <executorch/runtime/core/exec_aten/util/scalar_type_util.h>
 #include <executorch/runtime/core/tensor_shape_dynamism.h>
 #include <executorch/runtime/platform/assert.h>
@@ -19,8 +21,8 @@
 #include <vector>
 #endif // !USE_ATEN_LIB
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 namespace testing {
 
 namespace internal {
@@ -54,7 +56,7 @@ inline size_t sizes_to_numel(const std::vector<int32_t>& sizes) {
 
 inline bool check_strides(
     const std::vector<int32_t> sizes,
-    const std::vector<int32_t> strides) {
+    const std::vector<exec_aten::StridesType> strides) {
   if (sizes.size() != strides.size()) {
     // The length of stride vector shall equal to size vector.
     return false;
@@ -147,14 +149,14 @@ inline bool check_dim_order(
   return true;
 }
 
-inline std::vector<int32_t> strides_from_dim_order(
+inline std::vector<exec_aten::StridesType> strides_from_dim_order(
     const std::vector<int32_t>& sizes,
     const std::vector<uint8_t>& dim_order) {
   bool legal = check_dim_order(sizes, dim_order);
   ET_CHECK_MSG(legal, "The input dim_order variable is illegal.");
 
   size_t ndim = sizes.size();
-  std::vector<int32_t> strides(ndim);
+  std::vector<exec_aten::StridesType> strides(ndim);
   strides[dim_order[ndim - 1]] = 1;
   for (int i = ndim - 2; i >= 0; --i) {
     uint8_t cur_dim = dim_order[i];
@@ -258,8 +260,8 @@ class TensorFactory {
   at::Tensor make(
       const std::vector<int32_t>& sizes,
       const std::vector<ctype>& data,
-      const std::vector<int32_t> strides = {},
-      __ET_UNUSED TensorShapeDynamism dynamism =
+      const std::vector<exec_aten::StridesType> strides = {},
+      ET_UNUSED TensorShapeDynamism dynamism =
           TensorShapeDynamism::DYNAMIC_UNBOUND) {
     auto expected_numel = internal::sizes_to_numel(sizes);
     ET_CHECK_MSG(
@@ -269,7 +271,7 @@ class TensorFactory {
         data.size(),
         expected_numel);
 
-    Tensor t;
+    at::Tensor t;
     if (strides.empty()) {
       t = zeros(sizes);
     } else {
@@ -301,7 +303,7 @@ class TensorFactory {
       const std::vector<int32_t>& sizes,
       const std::vector<ctype>& data,
       const std::vector<uint8_t> dim_order = {},
-      __ET_UNUSED TensorShapeDynamism dynamism =
+      ET_UNUSED TensorShapeDynamism dynamism =
           TensorShapeDynamism::DYNAMIC_UNBOUND) {
     auto expected_numel = internal::sizes_to_numel(sizes);
     ET_CHECK_MSG(
@@ -311,7 +313,7 @@ class TensorFactory {
         data.size(),
         expected_numel);
 
-    Tensor t;
+    at::Tensor t;
     if (dim_order.empty()) {
       t = zeros(sizes);
     } else {
@@ -338,12 +340,78 @@ class TensorFactory {
   at::Tensor make_channels_last(
       const std::vector<int32_t>& sizes,
       const std::vector<ctype>& data,
-      __ET_UNUSED TensorShapeDynamism dynamism =
+      ET_UNUSED TensorShapeDynamism dynamism =
           TensorShapeDynamism::DYNAMIC_UNBOUND) {
     return make_with_dimorder(
         sizes, data, internal::channels_last_dim_order(sizes.size()), dynamism);
   }
 
+  /**
+   * Given data in contiguous memory format, returns a new Tensor with the
+   * specified shape and the same data but in channels last memory format.
+   *
+   * @param[in] sizes The sizes of the dimensions of the Tensor.
+   * @param[in] data The data in contiguous memory format that the Tensor should
+   * be initialized with. The size of this vector must be equal to the product
+   * of the elements of `sizes`.
+   *
+   * @return A new Tensor with the specified shape and data in channls last
+   * memory format.
+   */
+  at::Tensor channels_last_like(
+      const at::Tensor& input,
+      TensorShapeDynamism dynamism = TensorShapeDynamism::STATIC) {
+    ET_CHECK_MSG(
+        input.sizes().size() == 4, "Only 4D tensors can be channels last");
+
+    const std::vector<int32_t> sizes(
+        input.sizes().begin(), input.sizes().end());
+
+    std::vector<uint8_t> contiguous_dim_order(sizes.size());
+    for (uint8_t i = 0; i < sizes.size(); i++) {
+      contiguous_dim_order[i] = i;
+    }
+    std::vector<exec_aten::StridesType> contiguous_strides =
+        internal::strides_from_dim_order(sizes, contiguous_dim_order);
+
+    for (int32_t i = 0; i < input.dim(); i++) {
+      ET_CHECK_MSG(
+          input.strides()[i] == contiguous_strides[i],
+          "Input tensor is not contiguous");
+    }
+
+    int32_t N = sizes[0];
+    int32_t C = sizes[1];
+    int32_t H = sizes[2];
+    int32_t W = sizes[3];
+
+    std::vector<ctype> contiguous_data(
+        input.data_ptr<ctype>(), input.data_ptr<ctype>() + input.numel());
+    std::vector<ctype> channels_last_data(
+        N * C * H * W); // Create a new blob with the same total size to contain
+                        // channels_last data
+    for (int32_t n = 0; n < N; ++n) {
+      for (int32_t c = 0; c < C; ++c) {
+        for (int32_t h = 0; h < H; ++h) {
+          for (int32_t w = 0; w < W; ++w) {
+            // Calculate the index in the original blob
+            int32_t old_index = ((n * C + c) * H + h) * W + w;
+            // Calculate the index in the new blob
+            int32_t new_index = ((n * H + h) * W + w) * C + c;
+            // Copy the data
+            channels_last_data[new_index] = contiguous_data[old_index];
+          }
+        }
+      }
+    }
+
+    return make_with_dimorder(
+        sizes,
+        channels_last_data,
+        internal::channels_last_dim_order(sizes.size()),
+        dynamism);
+  }
+
   /**
    * Returns a new Tensor with the specified shape, containing contiguous
    * data will all elements set to `value`.
@@ -355,7 +423,7 @@ class TensorFactory {
   at::Tensor full(
       const std::vector<int32_t>& sizes,
       ctype value,
-      __ET_UNUSED TensorShapeDynamism dynamism =
+      ET_UNUSED TensorShapeDynamism dynamism =
           TensorShapeDynamism::DYNAMIC_UNBOUND) {
     auto sizes64 = vec_32_to_64(sizes);
     return at::full(at::IntArrayRef(sizes64), value, at::dtype(DTYPE));
@@ -372,7 +440,7 @@ class TensorFactory {
   at::Tensor full_channels_last(
       const std::vector<int32_t>& sizes,
       ctype value,
-      __ET_UNUSED TensorShapeDynamism dynamism =
+      ET_UNUSED TensorShapeDynamism dynamism =
           TensorShapeDynamism::DYNAMIC_UNBOUND) {
     auto sizes64 = vec_32_to_64(sizes);
     return at::full(at::IntArrayRef(sizes64), value, at::dtype(DTYPE))
@@ -388,7 +456,7 @@ class TensorFactory {
    */
   at::Tensor zeros(
       const std::vector<int32_t>& sizes,
-      __ET_UNUSED TensorShapeDynamism dynamism =
+      ET_UNUSED TensorShapeDynamism dynamism =
           TensorShapeDynamism::DYNAMIC_UNBOUND) {
     auto sizes64 = vec_32_to_64(sizes);
     return at::zeros(at::IntArrayRef(sizes64), at::dtype(DTYPE));
@@ -403,7 +471,7 @@ class TensorFactory {
    */
   at::Tensor ones(
       const std::vector<int32_t>& sizes,
-      __ET_UNUSED TensorShapeDynamism dynamism =
+      ET_UNUSED TensorShapeDynamism dynamism =
           TensorShapeDynamism::DYNAMIC_UNBOUND) {
     auto sizes64 = vec_32_to_64(sizes);
     return at::ones(at::IntArrayRef(sizes64), at::dtype(DTYPE));
@@ -417,8 +485,8 @@ class TensorFactory {
    * @return A new Tensor with the specified shape.
    */
   at::Tensor zeros_like(
-      const Tensor& input,
-      __ET_UNUSED TensorShapeDynamism dynamism =
+      const at::Tensor& input,
+      ET_UNUSED TensorShapeDynamism dynamism =
           TensorShapeDynamism::DYNAMIC_UNBOUND) {
     std::vector<int64_t> sizes64 = {input.sizes().begin(), input.sizes().end()};
     return at::full(at::IntArrayRef(sizes64), 0, at::dtype(DTYPE));
@@ -432,8 +500,8 @@ class TensorFactory {
    * @return A new Tensor with the specified shape.
    */
   at::Tensor ones_like(
-      const Tensor& input,
-      __ET_UNUSED TensorShapeDynamism dynamism =
+      const at::Tensor& input,
+      ET_UNUSED TensorShapeDynamism dynamism =
           TensorShapeDynamism::DYNAMIC_UNBOUND) {
     std::vector<int64_t> sizes64 = {input.sizes().begin(), input.sizes().end()};
     return at::full(at::IntArrayRef(sizes64), 1, at::dtype(DTYPE));
@@ -459,14 +527,13 @@ class TensorFactory {
    */
   at::Tensor empty_strided(
       const std::vector<int32_t>& sizes,
-      const std::vector<int32_t>& strides,
-      __ET_UNUSED TensorShapeDynamism dynamism =
+      const std::vector<exec_aten::StridesType>& strides,
+      ET_UNUSED TensorShapeDynamism dynamism =
           TensorShapeDynamism::DYNAMIC_UNBOUND) {
     auto sizes64 = vec_32_to_64(sizes);
-    auto strides64 = vec_32_to_64(strides);
     return at::empty_strided(
         sizes64,
-        strides64,
+        strides,
         DTYPE,
         /*layout_opt=*/at::Layout::Strided,
         /*device_opt=*/at::Device(at::DeviceType::CPU),
@@ -564,7 +631,8 @@ namespace internal {
 // values while using the defaults for everything else.
 template <torch::executor::ScalarType DTYPE>
 struct ScalarTypeToCppTypeWrapper {
-  using ctype = typename torch::executor::ScalarTypeToCppType<DTYPE>::type;
+  using ctype =
+      typename ::executorch::runtime::ScalarTypeToCppType<DTYPE>::type;
 };
 
 // Use a C type of `uint8_t` instead of `bool`. The C type will be used to
@@ -665,7 +733,7 @@ class TensorFactory {
   torch::executor::Tensor make(
       const std::vector<int32_t>& sizes,
       const std::vector<ctype>& data,
-      const std::vector<int32_t> strides = {},
+      const std::vector<exec_aten::StridesType> strides = {},
       TensorShapeDynamism dynamism = TensorShapeDynamism::STATIC) {
     std::vector<int32_t> default_strides;
     // Generate strides from the tensor dimensions, assuming contiguous data if
@@ -745,7 +813,7 @@ class TensorFactory {
 
   /**
    * Returns a new Tensor with the specified shape and data in channels last
-   * memory layout.
+   * memory format.
    *
    * @param[in] sizes The sizes of the dimensions of the Tensor.
    * @param[in] data The data that the Tensor should be initialized with. The
@@ -763,6 +831,60 @@ class TensorFactory {
         sizes, data, internal::channels_last_dim_order(sizes.size()), dynamism);
   }
 
+  /**
+   * Given data in contiguous memory format, returns a new Tensor with the
+   * specified shape and the same data but in channels last memory format.
+   *
+   * @param[in] sizes The sizes of the dimensions of the Tensor.
+   * @param[in] data The data in contiguous memory format that the Tensor should
+   * be initialized with. The size of this vector must be equal to the product
+   * of the elements of `sizes`.
+   *
+   * @return A new Tensor with the specified shape and data in channls last
+   * memory format.
+   */
+  torch::executor::Tensor channels_last_like(
+      const torch::executor::Tensor& input,
+      TensorShapeDynamism dynamism = TensorShapeDynamism::STATIC) {
+    const std::vector<int32_t> sizes(
+        input.sizes().begin(), input.sizes().end());
+
+    ET_CHECK_MSG(sizes.size() == 4, "Only 4D tensors can be channels last");
+    ET_CHECK_MSG(
+        is_contiguous_dim_order(input.dim_order().data(), input.dim()) == true,
+        "Input tensor is not contiguous");
+    int32_t N = sizes[0];
+    int32_t C = sizes[1];
+    int32_t H = sizes[2];
+    int32_t W = sizes[3];
+
+    std::vector<ctype> contiguous_data(
+        input.data_ptr<ctype>(), input.data_ptr<ctype>() + input.numel());
+    std::vector<ctype> channels_last_data(
+        N * C * H * W); // Create a new blob with the same total size to contain
+                        // channels_last data
+    for (int32_t n = 0; n < N; ++n) {
+      for (int32_t c = 0; c < C; ++c) {
+        for (int32_t h = 0; h < H; ++h) {
+          for (int32_t w = 0; w < W; ++w) {
+            // Calculate the index in the original blob
+            int32_t old_index = ((n * C + c) * H + h) * W + w;
+            // Calculate the index in the new blob
+            int32_t new_index = ((n * H + h) * W + w) * C + c;
+            // Copy the data
+            channels_last_data[new_index] = contiguous_data[old_index];
+          }
+        }
+      }
+    }
+
+    return make_with_dimorder(
+        sizes,
+        channels_last_data,
+        internal::channels_last_dim_order(sizes.size()),
+        dynamism);
+  }
+
   /**
    * Returns a new Tensor with the specified shape, containing contiguous data
    * will all elements set to `value`.
@@ -798,7 +920,20 @@ class TensorFactory {
 
   /**
    * Returns a new Tensor with the specified shape, containing contiguous data
-   * with all `0` elements.
+   * in channels last memory format with all `0` elements.
+   *
+   * @param[in] sizes The sizes of the dimensions of the Tensor.
+   * @return A new Tensor with the specified shape.
+   */
+  torch::executor::Tensor zeros_channels_last(
+      const std::vector<int32_t>& sizes,
+      TensorShapeDynamism dynamism = TensorShapeDynamism::STATIC) {
+    return full_channels_last(sizes, 0, dynamism);
+  }
+
+  /**
+   * Returns a new Tensor with the specified shape, containing contiguous data
+   * in contiguous memory format with all `0` elements.
    *
    * @param[in] sizes The sizes of the dimensions of the Tensor.
    * @return A new Tensor with the specified shape.
@@ -830,7 +965,7 @@ class TensorFactory {
    * @return A new Tensor with the specified shape.
    */
   torch::executor::Tensor zeros_like(
-      const Tensor& input,
+      const torch::executor::Tensor& input,
       TensorShapeDynamism dynamism = TensorShapeDynamism::STATIC) {
     std::vector<int32_t> sizes = {input.sizes().begin(), input.sizes().end()};
     return full(sizes, 0, dynamism);
@@ -844,7 +979,7 @@ class TensorFactory {
    * @return A new Tensor with the specified shape.
    */
   torch::executor::Tensor ones_like(
-      const Tensor& input,
+      const torch::executor::Tensor& input,
       TensorShapeDynamism dynamism = TensorShapeDynamism::STATIC) {
     std::vector<int32_t> sizes = {input.sizes().begin(), input.sizes().end()};
     return full(sizes, 1, dynamism);
@@ -877,8 +1012,8 @@ class TensorFactory {
     std::vector<int32_t> sizes_;
     std::vector<ctype> data_;
     std::vector<uint8_t> dim_order_;
-    std::vector<int32_t> strides_;
-    TensorImpl impl_;
+    std::vector<exec_aten::StridesType> strides_;
+    torch::executor::TensorImpl impl_;
   };
 
   /**
@@ -898,7 +1033,7 @@ class TensorFactory {
  * (and Tensors they contain), and must live longer than those TensorLists and
  * Tensors.
  */
-template <ScalarType DTYPE>
+template <exec_aten::ScalarType DTYPE>
 class TensorListFactory final {
  public:
   TensorListFactory() = default;
@@ -909,13 +1044,15 @@ class TensorListFactory final {
    * provided Tensors, but filled with zero elements. The dtypes of the template
    * entries are ignored.
    */
-  TensorList zeros_like(const std::vector<Tensor>& templates) {
-    memory_.emplace_back(std::make_unique<std::vector<Tensor>>());
+  exec_aten::TensorList zeros_like(
+      const std::vector<exec_aten::Tensor>& templates) {
+    memory_.emplace_back(std::make_unique<std::vector<exec_aten::Tensor>>());
     auto& vec = memory_.back();
-    std::for_each(templates.begin(), templates.end(), [&](const Tensor& t) {
-      vec->push_back(tf_.zeros_like(t));
-    });
-    return TensorList(vec->data(), vec->size());
+    std::for_each(
+        templates.begin(), templates.end(), [&](const exec_aten::Tensor& t) {
+          vec->push_back(tf_.zeros_like(t));
+        });
+    return exec_aten::TensorList(vec->data(), vec->size());
   }
 
  private:
@@ -925,9 +1062,20 @@ class TensorListFactory final {
    * vector of pointers so that the elements won't move if the vector needs to
    * resize/realloc.
    */
-  std::vector<std::unique_ptr<std::vector<Tensor>>> memory_;
+  std::vector<std::unique_ptr<std::vector<exec_aten::Tensor>>> memory_;
 };
 
+} // namespace testing
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+namespace testing {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::testing::TensorFactory;
+using ::executorch::runtime::testing::TensorListFactory;
 } // namespace testing
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/exec_aten/testing_util/tensor_util.cpp b/runtime/core/exec_aten/testing_util/tensor_util.cpp
index 815e86bcb8..0301cc9a51 100644
--- a/runtime/core/exec_aten/testing_util/tensor_util.cpp
+++ b/runtime/core/exec_aten/testing_util/tensor_util.cpp
@@ -16,11 +16,13 @@
 #include <executorch/runtime/core/exec_aten/util/scalar_type_util.h>
 #include <executorch/runtime/core/exec_aten/util/tensor_util.h>
 
+using exec_aten::BFloat16;
+using exec_aten::Half;
 using exec_aten::ScalarType;
 using exec_aten::Tensor;
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 namespace testing {
 
 namespace {
@@ -32,15 +34,22 @@ namespace {
  * T must be a floating point type. Non-floating point data should be compared
  * directly.
  */
-template <
-    typename T,
-    typename = std::enable_if_t<std::is_floating_point<T>::value>>
+template <typename T>
 bool data_is_close(
     const T* a,
     const T* b,
     size_t numel,
     double rtol,
     double atol) {
+  ET_CHECK_MSG(
+      numel == 0 || (a != nullptr && b != nullptr),
+      "Pointers must not be null when numel > 0: numel %zu, a 0x%p, b 0x%p",
+      numel,
+      a,
+      b);
+  if (a == b) {
+    return true;
+  }
   for (size_t i = 0; i < numel; i++) {
     const auto ai = a[i];
     const auto bi = b[i];
@@ -110,6 +119,20 @@ bool tensors_are_close(
         a.numel(),
         rtol,
         atol);
+  } else if (a.scalar_type() == ScalarType::Half) {
+    return data_is_close<Half>(
+        a.const_data_ptr<Half>(),
+        b.const_data_ptr<Half>(),
+        a.numel(),
+        rtol,
+        atol);
+  } else if (a.scalar_type() == ScalarType::BFloat16) {
+    return data_is_close<BFloat16>(
+        a.const_data_ptr<BFloat16>(),
+        b.const_data_ptr<BFloat16>(),
+        a.numel(),
+        rtol,
+        atol);
   } else {
     // Non-floating-point types can be compared bitwise.
     return memcmp(a.const_data_ptr(), b.const_data_ptr(), a.nbytes()) == 0;
@@ -175,10 +198,19 @@ bool tensor_lists_are_close(
 }
 
 } // namespace testing
+} // namespace runtime
+} // namespace executorch
 
 // ATen already defines operator<<() for Tensor and ScalarType.
 #ifndef USE_ATEN_LIB
 
+/*
+ * These functions must be declared in the original namespaces of their
+ * associated types so that C++ can find them.
+ */
+namespace torch {
+namespace executor {
+
 /**
  * Prints the ScalarType to the stream as a human-readable string.
  */
@@ -251,7 +283,7 @@ std::ostream& operator<<(std::ostream& os, const Tensor& t) {
     break;
 
   switch (t.scalar_type()) {
-    ET_FORALL_REAL_TYPES_AND2(Half, Bool, PRINT_CASE)
+    ET_FORALL_REAL_TYPES_AND3(Half, Bool, BFloat16, PRINT_CASE)
     default:
       ET_CHECK_MSG(
           false,
@@ -266,7 +298,7 @@ std::ostream& operator<<(std::ostream& os, const Tensor& t) {
   return os;
 }
 
-#endif // !USE_ATEN_LIB
-
 } // namespace executor
 } // namespace torch
+
+#endif // !USE_ATEN_LIB
diff --git a/runtime/core/exec_aten/testing_util/tensor_util.h b/runtime/core/exec_aten/testing_util/tensor_util.h
index e9baebe8f2..00f3c782c2 100644
--- a/runtime/core/exec_aten/testing_util/tensor_util.h
+++ b/runtime/core/exec_aten/testing_util/tensor_util.h
@@ -11,8 +11,8 @@
 #include <executorch/runtime/core/exec_aten/exec_aten.h>
 #include <gmock/gmock.h> // For MATCHER_P
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 namespace testing {
 
 namespace internal {
@@ -213,110 +213,125 @@ MATCHER_P(IsListEqualTo, other, "") {
  * `bool`-returning operator.
  */
 #define EXPECT_TENSOR_EQ(t1, t2) \
-  EXPECT_THAT((t1), ::torch::executor::testing::IsEqualTo(t2))
+  EXPECT_THAT((t1), ::executorch::runtime::testing::IsEqualTo(t2))
 #define EXPECT_TENSOR_NE(t1, t2) \
-  EXPECT_THAT((t1), ::testing::Not(torch::executor::testing::IsEqualTo(t2)))
+  EXPECT_THAT((t1), ::testing::Not(executorch::runtime::testing::IsEqualTo(t2)))
 #define ASSERT_TENSOR_EQ(t1, t2) \
-  ASSERT_THAT((t1), ::torch::executor::testing::IsEqualTo(t2))
+  ASSERT_THAT((t1), ::executorch::runtime::testing::IsEqualTo(t2))
 #define ASSERT_TENSOR_NE(t1, t2) \
-  ASSERT_THAT((t1), ::testing::Not(torch::executor::testing::IsEqualTo(t2)))
+  ASSERT_THAT((t1), ::testing::Not(executorch::runtime::testing::IsEqualTo(t2)))
 
 #define EXPECT_TENSOR_CLOSE(t1, t2) \
-  EXPECT_THAT((t1), ::torch::executor::testing::IsCloseTo(t2))
+  EXPECT_THAT((t1), ::executorch::runtime::testing::IsCloseTo(t2))
 #define EXPECT_TENSOR_NOT_CLOSE(t1, t2) \
-  EXPECT_THAT((t1), ::testing::Not(torch::executor::testing::IsCloseTo(t2)))
+  EXPECT_THAT((t1), ::testing::Not(executorch::runtime::testing::IsCloseTo(t2)))
 #define ASSERT_TENSOR_CLOSE(t1, t2) \
-  ASSERT_THAT((t1), ::torch::executor::testing::IsCloseTo(t2))
+  ASSERT_THAT((t1), ::executorch::runtime::testing::IsCloseTo(t2))
 #define ASSERT_TENSOR_NOT_CLOSE(t1, t2) \
-  ASSERT_THAT((t1), ::testing::Not(torch::executor::testing::IsCloseTo(t2)))
+  ASSERT_THAT((t1), ::testing::Not(executorch::runtime::testing::IsCloseTo(t2)))
 
 #define EXPECT_TENSOR_CLOSE_WITH_TOL(t1, t2, rtol, atol) \
   EXPECT_THAT(                                           \
-      (t1), ::torch::executor::testing::IsCloseToWithTol(t2, rtol, atol))
+      (t1), ::executorch::runtime::testing::IsCloseToWithTol(t2, rtol, atol))
 #define EXPECT_TENSOR_NOT_CLOSE_WITH_TOL(t1, t2, rtol, atol) \
   EXPECT_THAT(                                               \
       (t1),                                                  \
       ::testing::Not(                                        \
-          torch::executor::testing::IsCloseToWithTol(t2, rtol, atol)))
+          executorch::runtime::testing::IsCloseToWithTol(t2, rtol, atol)))
 #define ASSERT_TENSOR_CLOSE_WITH_TOL(t1, t2, rtol, atol) \
   ASSERT_THAT(                                           \
-      (t1), ::torch::executor::testing::IsCloseToWithTol(t2, rtol, atol))
+      (t1), ::executorch::runtime::testing::IsCloseToWithTol(t2, rtol, atol))
 #define ASSERT_TENSOR_NOT_CLOSE_WITH_TOL(t1, t2, rtol, atol) \
   ASSERT_THAT(                                               \
       (t1),                                                  \
       ::testing::Not(                                        \
-          torch::executor::testing::IsCloseToWithTol(t2, rtol, atol)))
+          executorch::runtime::testing::IsCloseToWithTol(t2, rtol, atol)))
 
 #define EXPECT_TENSOR_DATA_EQ(t1, t2) \
-  EXPECT_THAT((t1), ::torch::executor::testing::IsDataEqualTo(t2))
+  EXPECT_THAT((t1), ::executorch::runtime::testing::IsDataEqualTo(t2))
 #define EXPECT_TENSOR_DATA_NE(t1, t2) \
-  EXPECT_THAT((t1), ::testing::Not(torch::executor::testing::IsDataEqualTo(t2)))
+  EXPECT_THAT(                        \
+      (t1), ::testing::Not(executorch::runtime::testing::IsDataEqualTo(t2)))
 #define ASSERT_TENSOR_DATA_EQ(t1, t2) \
-  ASSERT_THAT((t1), ::torch::executor::testing::IsDataEqualTo(t2))
+  ASSERT_THAT((t1), ::executorch::runtime::testing::IsDataEqualTo(t2))
 #define ASSERT_TENSOR_DATA_NE(t1, t2) \
-  ASSERT_THAT((t1), ::testing::Not(torch::executor::testing::IsDataEqualTo(t2)))
+  ASSERT_THAT(                        \
+      (t1), ::testing::Not(executorch::runtime::testing::IsDataEqualTo(t2)))
 
 #define EXPECT_TENSOR_DATA_CLOSE(t1, t2) \
-  EXPECT_THAT((t1), ::torch::executor::testing::IsDataCloseTo(t2))
+  EXPECT_THAT((t1), ::executorch::runtime::testing::IsDataCloseTo(t2))
 #define EXPECT_TENSOR_DATA_NOT_CLOSE(t1, t2) \
-  EXPECT_THAT((t1), ::testing::Not(torch::executor::testing::IsDataCloseTo(t2)))
+  EXPECT_THAT(                               \
+      (t1), ::testing::Not(executorch::runtime::testing::IsDataCloseTo(t2)))
 #define ASSERT_TENSOR_DATA_CLOSE(t1, t2) \
-  ASSERT_THAT((t1), ::torch::executor::testing::IsDataCloseTo(t2))
+  ASSERT_THAT((t1), ::executorch::runtime::testing::IsDataCloseTo(t2))
 #define ASSERT_TENSOR_DATA_NOT_CLOSE(t1, t2) \
-  ASSERT_THAT((t1), ::testing::Not(torch::executor::testing::IsDataCloseTo(t2)))
+  ASSERT_THAT(                               \
+      (t1), ::testing::Not(executorch::runtime::testing::IsDataCloseTo(t2)))
 
 #define EXPECT_TENSOR_DATA_CLOSE_WITH_TOL(t1, t2, rtol, atol) \
   EXPECT_THAT(                                                \
-      (t1), ::torch::executor::testing::IsDataCloseToWithTol(t2, rtol, atol))
+      (t1),                                                   \
+      ::executorch::runtime::testing::IsDataCloseToWithTol(t2, rtol, atol))
 #define EXPECT_TENSOR_DATA_NOT_CLOSE_WITH_TOL(t1, t2, rtol, atol) \
   EXPECT_THAT(                                                    \
       (t1),                                                       \
       ::testing::Not(                                             \
-          torch::executor::testing::IsDataCloseToWithTol(t2, rtol, atol)))
+          executorch::runtime::testing::IsDataCloseToWithTol(t2, rtol, atol)))
 #define ASSERT_TENSOR_DATA_CLOSE_WITH_TOL(t1, t2, rtol, atol) \
   ASSERT_THAT(                                                \
-      (t1), ::torch::executor::testing::IsDataCloseToWithTol(t2, rtol, atol))
+      (t1),                                                   \
+      ::executorch::runtime::testing::IsDataCloseToWithTol(t2, rtol, atol))
 #define ASSERT_TENSOR_DATA_NOT_CLOSE_WITH_TOL(t1, t2, rtol, atol) \
   ASSERT_THAT(                                                    \
       (t1),                                                       \
       ::testing::Not(                                             \
-          torch::executor::testing::IsDataCloseToWithTol(t2, rtol, atol)))
+          executorch::runtime::testing::IsDataCloseToWithTol(t2, rtol, atol)))
 
 /*
  * Helpers for comparing lists of Tensors.
  */
 
 #define EXPECT_TENSOR_LISTS_EQ(t1, t2) \
-  EXPECT_THAT((t1), ::torch::executor::testing::IsListEqualTo(t2))
+  EXPECT_THAT((t1), ::executorch::runtime::testing::IsListEqualTo(t2))
 #define EXPECT_TENSOR_LISTS_NE(t1, t2) \
-  EXPECT_THAT((t1), ::testing::Not(torch::executor::testing::IsListEqualTo(t2)))
+  EXPECT_THAT(                         \
+      (t1), ::testing::Not(executorch::runtime::testing::IsListEqualTo(t2)))
 #define ASSERT_TENSOR_LISTS_EQ(t1, t2) \
-  ASSERT_THAT((t1), ::torch::executor::testing::IsListEqualTo(t2))
+  ASSERT_THAT((t1), ::executorch::runtime::testing::IsListEqualTo(t2))
 #define ASSERT_TENSOR_LISTS_NE(t1, t2) \
-  ASSERT_THAT((t1), ::testing::Not(torch::executor::testing::IsListEqualTo(t2)))
+  ASSERT_THAT(                         \
+      (t1), ::testing::Not(executorch::runtime::testing::IsListEqualTo(t2)))
 
 #define EXPECT_TENSOR_LISTS_CLOSE(t1, t2) \
-  EXPECT_THAT((t1), ::torch::executor::testing::IsListCloseTo(t2))
+  EXPECT_THAT((t1), ::executorch::runtime::testing::IsListCloseTo(t2))
 #define EXPECT_TENSOR_LISTS_NOT_CLOSE(t1, t2) \
-  EXPECT_THAT((t1), ::testing::Not(torch::executor::testing::IsListCloseTo(t2)))
+  EXPECT_THAT(                                \
+      (t1), ::testing::Not(executorch::runtime::testing::IsListCloseTo(t2)))
 #define ASSERT_TENSOR_LISTS_CLOSE(t1, t2) \
-  ASSERT_THAT((t1), ::torch::executor::testing::IsListCloseTo(t2))
+  ASSERT_THAT((t1), ::executorch::runtime::testing::IsListCloseTo(t2))
 #define ASSERT_TENSOR_LISTS_NOT_CLOSE(t1, t2) \
-  ASSERT_THAT((t1), ::testing::Not(torch::executor::testing::IsListCloseTo(t2)))
+  ASSERT_THAT(                                \
+      (t1), ::testing::Not(executorch::runtime::testing::IsListCloseTo(t2)))
 
 } // namespace testing
+} // namespace runtime
+} // namespace executorch
 
+// ATen already defines operator<<() for Tensor and ScalarType.
 #ifndef USE_ATEN_LIB
 
 /*
  * These functions must be declared in the original namespaces of their
  * associated types so that C++ can find them.
  */
+namespace torch {
+namespace executor {
 
 /**
  * Prints the ScalarType to the stream as a human-readable string.
  *
- * See also torch::executor::toString(ScalarType t) in ScalarTypeUtil.h.
+ * See also executorch::runtime::toString(ScalarType t) in ScalarTypeUtil.h.
  */
 std::ostream& operator<<(std::ostream& os, const exec_aten::ScalarType& t);
 
@@ -325,7 +340,27 @@ std::ostream& operator<<(std::ostream& os, const exec_aten::ScalarType& t);
  */
 std::ostream& operator<<(std::ostream& os, const exec_aten::Tensor& t);
 
+} // namespace executor
+} // namespace torch
+
 #endif // !USE_ATEN_LIB
 
+namespace torch {
+namespace executor {
+namespace testing {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::testing::IsCloseTo;
+using ::executorch::runtime::testing::IsCloseToWithTol;
+using ::executorch::runtime::testing::IsDataCloseTo;
+using ::executorch::runtime::testing::IsDataCloseToWithTol;
+using ::executorch::runtime::testing::IsDataEqualTo;
+using ::executorch::runtime::testing::IsEqualTo;
+using ::executorch::runtime::testing::IsListCloseTo;
+using ::executorch::runtime::testing::IsListEqualTo;
+using ::executorch::runtime::testing::tensor_data_is_close;
+using ::executorch::runtime::testing::tensor_lists_are_close;
+using ::executorch::runtime::testing::tensors_are_close;
+} // namespace testing
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/exec_aten/testing_util/test/tensor_factory_test.cpp b/runtime/core/exec_aten/testing_util/test/tensor_factory_test.cpp
index 97d60c5e42..8681e9553a 100644
--- a/runtime/core/exec_aten/testing_util/test/tensor_factory_test.cpp
+++ b/runtime/core/exec_aten/testing_util/test/tensor_factory_test.cpp
@@ -26,10 +26,11 @@ using exec_aten::SizesType;
 using exec_aten::StridesType;
 using exec_aten::Tensor;
 using exec_aten::TensorList;
-using torch::executor::Error;
-using torch::executor::resize_tensor;
-using torch::executor::testing::TensorFactory;
-using torch::executor::testing::TensorListFactory;
+using executorch::runtime::Error;
+using executorch::runtime::resize_tensor;
+using executorch::runtime::TensorShapeDynamism;
+using executorch::runtime::testing::TensorFactory;
+using executorch::runtime::testing::TensorListFactory;
 
 // The tensor under test will be modified so pass an rvalue ref
 void resize_tensor_to_assert_static(Tensor&& t) {
@@ -107,7 +108,7 @@ class TensorFactoryTest : public ::testing::Test {
   void SetUp() override {
     // Since these tests cause ET_LOG to be called, the PAL must be initialized
     // first.
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
   }
 };
 
@@ -448,7 +449,7 @@ TEST_F(TensorFactoryTest, MakeStridedDataIsCopied) {
 
   // Create two tensors using the same input data and strided vector.
   std::vector<int32_t> data = {1, 2, 3, 4};
-  std::vector<int32_t> strides = {1, 2};
+  std::vector<exec_aten::StridesType> strides = {1, 2};
   Tensor t1 = tf.make(/*sizes=*/{2, 2}, data, strides);
   Tensor t2 = tf.make(/*sizes=*/{2, 2}, data, strides);
 
@@ -963,138 +964,110 @@ TEST(TensorListFactoryTest, ZerosLikeEmpty) {
 
 TEST_F(TensorFactoryTest, ZerosDynamismParameter) {
   TensorFactory<ScalarType::Int> tf;
-  resize_tensor_to_assert_static(
-      tf.zeros({2, 2}, torch::executor::TensorShapeDynamism::STATIC));
+  resize_tensor_to_assert_static(tf.zeros({2, 2}, TensorShapeDynamism::STATIC));
   resize_tensor_to_assert_dynamic_bound(
-      tf.zeros({2, 2}, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND));
+      tf.zeros({2, 2}, TensorShapeDynamism::DYNAMIC_BOUND));
   resize_tensor_to_assert_dynamic_unbound(
-      tf.zeros({2, 2}, torch::executor::TensorShapeDynamism::DYNAMIC_UNBOUND));
+      tf.zeros({2, 2}, TensorShapeDynamism::DYNAMIC_UNBOUND));
 
   // The tensor itself should be equal
   EXPECT_TENSOR_EQ(
-      tf.zeros({2, 2}, torch::executor::TensorShapeDynamism::STATIC),
-      tf.zeros({2, 2}, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND));
+      tf.zeros({2, 2}, TensorShapeDynamism::STATIC),
+      tf.zeros({2, 2}, TensorShapeDynamism::DYNAMIC_BOUND));
   EXPECT_TENSOR_EQ(
-      tf.zeros({2, 2}, torch::executor::TensorShapeDynamism::STATIC),
-      tf.zeros({2, 2}, torch::executor::TensorShapeDynamism::DYNAMIC_UNBOUND));
+      tf.zeros({2, 2}, TensorShapeDynamism::STATIC),
+      tf.zeros({2, 2}, TensorShapeDynamism::DYNAMIC_UNBOUND));
 }
 
 TEST_F(TensorFactoryTest, ZerosLikeDynamismParameter) {
   TensorFactory<ScalarType::Int> tf;
   Tensor zeros = tf.zeros({2, 2});
   resize_tensor_to_assert_static(
-      tf.zeros_like(zeros, torch::executor::TensorShapeDynamism::STATIC));
-  resize_tensor_to_assert_dynamic_bound(tf.zeros_like(
-      zeros, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND));
-  resize_tensor_to_assert_dynamic_unbound(tf.zeros_like(
-      zeros, torch::executor::TensorShapeDynamism::DYNAMIC_UNBOUND));
+      tf.zeros_like(zeros, TensorShapeDynamism::STATIC));
+  resize_tensor_to_assert_dynamic_bound(
+      tf.zeros_like(zeros, TensorShapeDynamism::DYNAMIC_BOUND));
+  resize_tensor_to_assert_dynamic_unbound(
+      tf.zeros_like(zeros, TensorShapeDynamism::DYNAMIC_UNBOUND));
 
   // The tensor itself should be equal
   EXPECT_TENSOR_EQ(
-      tf.zeros_like(zeros, torch::executor::TensorShapeDynamism::STATIC),
-      tf.zeros_like(
-          zeros, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND));
+      tf.zeros_like(zeros, TensorShapeDynamism::STATIC),
+      tf.zeros_like(zeros, TensorShapeDynamism::DYNAMIC_BOUND));
   EXPECT_TENSOR_EQ(
-      tf.zeros_like(zeros, torch::executor::TensorShapeDynamism::STATIC),
-      tf.zeros_like(
-          zeros, torch::executor::TensorShapeDynamism::DYNAMIC_UNBOUND));
+      tf.zeros_like(zeros, TensorShapeDynamism::STATIC),
+      tf.zeros_like(zeros, TensorShapeDynamism::DYNAMIC_UNBOUND));
 }
 
 TEST_F(TensorFactoryTest, OnesDynamismParameter) {
   TensorFactory<ScalarType::Int> tf;
-  resize_tensor_to_assert_static(
-      tf.ones({2, 2}, torch::executor::TensorShapeDynamism::STATIC));
+  resize_tensor_to_assert_static(tf.ones({2, 2}, TensorShapeDynamism::STATIC));
   resize_tensor_to_assert_dynamic_bound(
-      tf.ones({2, 2}, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND));
+      tf.ones({2, 2}, TensorShapeDynamism::DYNAMIC_BOUND));
   resize_tensor_to_assert_dynamic_unbound(
-      tf.ones({2, 2}, torch::executor::TensorShapeDynamism::DYNAMIC_UNBOUND));
+      tf.ones({2, 2}, TensorShapeDynamism::DYNAMIC_UNBOUND));
 
   // The tensor itself should be equal
   EXPECT_TENSOR_EQ(
-      tf.ones({2, 2}, torch::executor::TensorShapeDynamism::STATIC),
-      tf.ones({2, 2}, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND));
+      tf.ones({2, 2}, TensorShapeDynamism::STATIC),
+      tf.ones({2, 2}, TensorShapeDynamism::DYNAMIC_BOUND));
   EXPECT_TENSOR_EQ(
-      tf.ones({2, 2}, torch::executor::TensorShapeDynamism::STATIC),
-      tf.ones({2, 2}, torch::executor::TensorShapeDynamism::DYNAMIC_UNBOUND));
+      tf.ones({2, 2}, TensorShapeDynamism::STATIC),
+      tf.ones({2, 2}, TensorShapeDynamism::DYNAMIC_UNBOUND));
 }
 
 TEST_F(TensorFactoryTest, OnesLikeDynamismParameter) {
   TensorFactory<ScalarType::Int> tf;
   Tensor ones = tf.ones({2, 2});
   resize_tensor_to_assert_static(
-      tf.ones_like(ones, torch::executor::TensorShapeDynamism::STATIC));
+      tf.ones_like(ones, TensorShapeDynamism::STATIC));
   resize_tensor_to_assert_dynamic_bound(
-      tf.ones_like(ones, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND));
-  resize_tensor_to_assert_dynamic_unbound(tf.ones_like(
-      ones, torch::executor::TensorShapeDynamism::DYNAMIC_UNBOUND));
+      tf.ones_like(ones, TensorShapeDynamism::DYNAMIC_BOUND));
+  resize_tensor_to_assert_dynamic_unbound(
+      tf.ones_like(ones, TensorShapeDynamism::DYNAMIC_UNBOUND));
 
   // The tensor itself should be equal
   EXPECT_TENSOR_EQ(
-      tf.ones_like(ones, torch::executor::TensorShapeDynamism::STATIC),
-      tf.ones_like(ones, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND));
+      tf.ones_like(ones, TensorShapeDynamism::STATIC),
+      tf.ones_like(ones, TensorShapeDynamism::DYNAMIC_BOUND));
   EXPECT_TENSOR_EQ(
-      tf.ones_like(ones, torch::executor::TensorShapeDynamism::STATIC),
-      tf.ones_like(
-          ones, torch::executor::TensorShapeDynamism::DYNAMIC_UNBOUND));
+      tf.ones_like(ones, TensorShapeDynamism::STATIC),
+      tf.ones_like(ones, TensorShapeDynamism::DYNAMIC_UNBOUND));
 }
 
 TEST_F(TensorFactoryTest, FullDynamismParameter) {
   TensorFactory<ScalarType::Int> tf;
   resize_tensor_to_assert_static(
-      tf.full({2, 2}, 1, torch::executor::TensorShapeDynamism::STATIC));
+      tf.full({2, 2}, 1, TensorShapeDynamism::STATIC));
   resize_tensor_to_assert_dynamic_bound(
-      tf.full({2, 2}, 1, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND));
-  resize_tensor_to_assert_dynamic_unbound(tf.full(
-      {2, 2}, 1, torch::executor::TensorShapeDynamism::DYNAMIC_UNBOUND));
+      tf.full({2, 2}, 1, TensorShapeDynamism::DYNAMIC_BOUND));
+  resize_tensor_to_assert_dynamic_unbound(
+      tf.full({2, 2}, 1, TensorShapeDynamism::DYNAMIC_UNBOUND));
 
   // The tensor itself should be equal
   EXPECT_TENSOR_EQ(
-      tf.full({2, 2}, 1, torch::executor::TensorShapeDynamism::STATIC),
-      tf.full({2, 2}, 1, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND));
+      tf.full({2, 2}, 1, TensorShapeDynamism::STATIC),
+      tf.full({2, 2}, 1, TensorShapeDynamism::DYNAMIC_BOUND));
   EXPECT_TENSOR_EQ(
-      tf.full({2, 2}, 1, torch::executor::TensorShapeDynamism::STATIC),
-      tf.full(
-          {2, 2}, 1, torch::executor::TensorShapeDynamism::DYNAMIC_UNBOUND));
+      tf.full({2, 2}, 1, TensorShapeDynamism::STATIC),
+      tf.full({2, 2}, 1, TensorShapeDynamism::DYNAMIC_UNBOUND));
 }
 
 TEST_F(TensorFactoryTest, MakeDynamismParameter) {
   TensorFactory<ScalarType::Int> tf;
-  resize_tensor_to_assert_static(tf.make(
-      {2, 2}, {1, 2, 3, 4}, {}, torch::executor::TensorShapeDynamism::STATIC));
-  resize_tensor_to_assert_dynamic_bound(tf.make(
-      {2, 2},
-      {1, 2, 3, 4},
-      {},
-      torch::executor::TensorShapeDynamism::DYNAMIC_BOUND));
-  resize_tensor_to_assert_dynamic_unbound(tf.make(
-      {2, 2},
-      {1, 2, 3, 4},
-      {},
-      torch::executor::TensorShapeDynamism::DYNAMIC_UNBOUND));
+  resize_tensor_to_assert_static(
+      tf.make({2, 2}, {1, 2, 3, 4}, {}, TensorShapeDynamism::STATIC));
+  resize_tensor_to_assert_dynamic_bound(
+      tf.make({2, 2}, {1, 2, 3, 4}, {}, TensorShapeDynamism::DYNAMIC_BOUND));
+  resize_tensor_to_assert_dynamic_unbound(
+      tf.make({2, 2}, {1, 2, 3, 4}, {}, TensorShapeDynamism::DYNAMIC_UNBOUND));
 
   // The tensor itself should be equal
   EXPECT_TENSOR_EQ(
-      tf.make(
-          {2, 2},
-          {1, 2, 3, 4},
-          {},
-          torch::executor::TensorShapeDynamism::STATIC),
-      tf.make(
-          {2, 2},
-          {1, 2, 3, 4},
-          {},
-          torch::executor::TensorShapeDynamism::DYNAMIC_BOUND));
+      tf.make({2, 2}, {1, 2, 3, 4}, {}, TensorShapeDynamism::STATIC),
+      tf.make({2, 2}, {1, 2, 3, 4}, {}, TensorShapeDynamism::DYNAMIC_BOUND));
   EXPECT_TENSOR_EQ(
-      tf.make(
-          {2, 2},
-          {1, 2, 3, 4},
-          {},
-          torch::executor::TensorShapeDynamism::STATIC),
-      tf.make(
-          {2, 2},
-          {1, 2, 3, 4},
-          {},
-          torch::executor::TensorShapeDynamism::DYNAMIC_UNBOUND));
+      tf.make({2, 2}, {1, 2, 3, 4}, {}, TensorShapeDynamism::STATIC),
+      tf.make({2, 2}, {1, 2, 3, 4}, {}, TensorShapeDynamism::DYNAMIC_UNBOUND));
 }
 
 #if !defined(USE_ATEN_LIB)
@@ -1107,7 +1080,7 @@ TEST_F(TensorFactoryTest, FullDynamic) {
   ET_EXPECT_DEATH(torch::executor::resize(out, new_sizes), "");
 
   out = tf.full(
-      /*sizes=*/{2, 2}, 5, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND);
+      /*sizes=*/{2, 2}, 5, TensorShapeDynamism::DYNAMIC_BOUND);
   new_sizes[1] = 2;
   EXPECT_EQ(
       torch::executor::resize_tensor(out, new_sizes),
@@ -1128,10 +1101,7 @@ TEST_F(TensorFactoryTest, MakeIntTensorDynamic) {
 
   std::vector<int32_t> data = {1, 2, 3, 4};
   out = tf.make(
-      /*sizes=*/{2, 2},
-      data,
-      {},
-      torch::executor::TensorShapeDynamism::DYNAMIC_BOUND);
+      /*sizes=*/{2, 2}, data, {}, TensorShapeDynamism::DYNAMIC_BOUND);
   new_sizes[1] = 2;
   EXPECT_EQ(
       torch::executor::resize_tensor(out, new_sizes),
@@ -1151,7 +1121,7 @@ TEST_F(TensorFactoryTest, MakeZerosDynamic) {
   ET_EXPECT_DEATH(torch::executor::resize(out, new_sizes), "");
 
   out = tf.zeros(
-      /*sizes=*/{2, 2}, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND);
+      /*sizes=*/{2, 2}, TensorShapeDynamism::DYNAMIC_BOUND);
   new_sizes[1] = 2;
   EXPECT_EQ(
       torch::executor::resize_tensor(out, new_sizes),
@@ -1165,7 +1135,7 @@ TEST_F(TensorFactoryTest, MakeZerosDynamic) {
   new_sizes[1] = 1;
   ET_EXPECT_DEATH(torch::executor::resize(out_like, new_sizes), "");
 
-  out = tf.zeros_like(out, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND);
+  out = tf.zeros_like(out, TensorShapeDynamism::DYNAMIC_BOUND);
   new_sizes[1] = 2;
   EXPECT_EQ(
       torch::executor::resize_tensor(out, new_sizes),
diff --git a/runtime/core/exec_aten/testing_util/test/tensor_util_test.cpp b/runtime/core/exec_aten/testing_util/test/tensor_util_test.cpp
index 682af2d874..948f6bc78f 100644
--- a/runtime/core/exec_aten/testing_util/test/tensor_util_test.cpp
+++ b/runtime/core/exec_aten/testing_util/test/tensor_util_test.cpp
@@ -23,17 +23,18 @@
 using namespace ::testing;
 using exec_aten::ScalarType;
 using exec_aten::Tensor;
+using exec_aten::TensorImpl;
 using exec_aten::TensorList;
-using torch::executor::testing::IsCloseTo;
-using torch::executor::testing::IsDataCloseTo;
-using torch::executor::testing::IsDataEqualTo;
-using torch::executor::testing::IsEqualTo;
-using torch::executor::testing::IsListCloseTo;
-using torch::executor::testing::IsListEqualTo;
-using torch::executor::testing::tensor_data_is_close;
-using torch::executor::testing::tensor_lists_are_close;
-using torch::executor::testing::TensorFactory;
-using torch::executor::testing::tensors_are_close;
+using executorch::runtime::testing::IsCloseTo;
+using executorch::runtime::testing::IsDataCloseTo;
+using executorch::runtime::testing::IsDataEqualTo;
+using executorch::runtime::testing::IsEqualTo;
+using executorch::runtime::testing::IsListCloseTo;
+using executorch::runtime::testing::IsListEqualTo;
+using executorch::runtime::testing::tensor_data_is_close;
+using executorch::runtime::testing::tensor_lists_are_close;
+using executorch::runtime::testing::TensorFactory;
+using executorch::runtime::testing::tensors_are_close;
 
 // Exhaustively test all of our comparison functions every time. Also flip the
 // params around to demonstrate that the underlying checks are commutative.
@@ -826,4 +827,22 @@ TEST(TensorUtilTest, TensorStreamBool) {
       "ETensor(sizes={2, 2}, dtype=Bool, data={1, 0, 1, 0})");
 }
 
+TEST(TensorTest, TestZeroShapeTensorEquality) {
+  TensorImpl::SizesType sizes[2] = {2, 2};
+  TensorImpl::StridesType strides[2] = {2, 1};
+  TensorImpl::DimOrderType dim_order[2] = {0, 1};
+
+  TensorImpl t1(ScalarType::Float, 2, sizes, nullptr, dim_order, strides);
+  TensorImpl t2(ScalarType::Float, 2, sizes, nullptr, dim_order, strides);
+
+  ET_EXPECT_DEATH({ EXPECT_TENSOR_EQ(Tensor(&t1), Tensor(&t2)); }, "");
+
+  float data[] = {1.0, 2.0, 3.0, 4.0};
+
+  t1.set_data(data);
+  t2.set_data(data);
+
+  EXPECT_TENSOR_EQ(Tensor(&t1), Tensor(&t2));
+}
+
 #endif // !USE_ATEN_LIB
diff --git a/runtime/core/exec_aten/util/dim_order_util.h b/runtime/core/exec_aten/util/dim_order_util.h
index 33aa4f86a8..4c5858fb5e 100644
--- a/runtime/core/exec_aten/util/dim_order_util.h
+++ b/runtime/core/exec_aten/util/dim_order_util.h
@@ -13,8 +13,9 @@
 #include <executorch/runtime/core/error.h>
 #include <executorch/runtime/platform/assert.h>
 #include <executorch/runtime/platform/compiler.h>
-namespace torch {
-namespace executor {
+
+namespace executorch {
+namespace runtime {
 
 namespace {
 template <typename DimOrderType>
@@ -133,7 +134,7 @@ inline void dim_order_to_stride_nocheck(
 }
 
 template <typename SizesType, typename DimOrderType, typename StridesType>
-__ET_NODISCARD inline Error dim_order_to_stride(
+ET_NODISCARD inline Error dim_order_to_stride(
     const SizesType* sizes,
     const DimOrderType* dim_order,
     const size_t dims,
@@ -152,6 +153,8 @@ __ET_NODISCARD inline Error dim_order_to_stride(
   return Error::Ok;
 }
 
+namespace internal {
+
 template <typename StridesType, typename DimOrderType>
 struct StrideDimOrder {
   StridesType stride;
@@ -201,6 +204,8 @@ struct Sorter {
   }
 };
 
+} // namespace internal
+
 /*
  * This utility translated strides to dimension order
  * information. Dimension order specifies how the dimensions are laid out in the
@@ -221,7 +226,7 @@ struct Sorter {
  * TODO(T148342910)
  */
 template <typename DimOrderType, typename StridesType>
-__ET_NODISCARD inline Error stride_to_dim_order(
+ET_NODISCARD inline Error stride_to_dim_order(
     const StridesType* strides,
     const size_t dims,
     DimOrderType* dim_order) {
@@ -236,13 +241,14 @@ __ET_NODISCARD inline Error stride_to_dim_order(
       "dims %zu exceeds maximum allowed %zu",
       dims,
       kMaxNumOfDimensions);
-  StrideDimOrder<StridesType, DimOrderType> array[kMaxNumOfDimensions];
+  internal::StrideDimOrder<StridesType, DimOrderType>
+      array[kMaxNumOfDimensions];
   for (DimOrderType i = 0; i < dims; i++) {
     array[i].dim_order = i;
     array[i].stride = strides[i];
   }
 
-  Sorter<StrideDimOrder<StridesType, DimOrderType>> sorter;
+  internal::Sorter<internal::StrideDimOrder<StridesType, DimOrderType>> sorter;
 
   sorter.quick_sort(array, 0, dims - 1);
 
@@ -251,5 +257,17 @@ __ET_NODISCARD inline Error stride_to_dim_order(
   }
   return Error::Ok;
 }
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::dim_order_to_stride;
+using ::executorch::runtime::dim_order_to_stride_nocheck;
+using ::executorch::runtime::is_channels_last_dim_order;
+using ::executorch::runtime::is_contiguous_dim_order;
+using ::executorch::runtime::stride_to_dim_order;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/exec_aten/util/genScalarTypeTable.py b/runtime/core/exec_aten/util/genScalarTypeTable.py
index 07100472ae..c2bc84c270 100644
--- a/runtime/core/exec_aten/util/genScalarTypeTable.py
+++ b/runtime/core/exec_aten/util/genScalarTypeTable.py
@@ -4,20 +4,35 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
-indexToType = ["U1", "I1", "I2", "I4", "I8", "F2", "F4", "F8", "C2", "C4", "C8", "B1"]
+indexToType = [
+    "U1",
+    "I1",
+    "I2",
+    "I4",
+    "I8",
+    "F2",
+    "F4",
+    "F8",
+    "C2",
+    "C4",
+    "C8",
+    "B1",
+    "BF",
+]
 promoteTypesLookup = [
-    ["U1", "I2", "I2", "I4", "I8", "F2", "F4", "F8", "C2", "C4", "C8", "U1"],
-    ["I2", "I1", "I2", "I4", "I8", "F2", "F4", "F8", "C2", "C4", "C8", "I1"],
-    ["I2", "I2", "I2", "I4", "I8", "F2", "F4", "F8", "C2", "C4", "C8", "I2"],
-    ["I4", "I4", "I4", "I4", "I8", "F2", "F4", "F8", "C2", "C4", "C8", "I4"],
-    ["I8", "I8", "I8", "I8", "I8", "F2", "F4", "F8", "C2", "C4", "C8", "I8"],
-    ["F2", "F2", "F2", "F2", "F2", "F2", "F4", "F8", "C2", "C4", "C8", "F2"],
-    ["F4", "F4", "F4", "F4", "F4", "F4", "F4", "F8", "C4", "C4", "C8", "F4"],
-    ["F8", "F8", "F8", "F8", "F8", "F8", "F8", "F8", "C8", "C8", "C8", "F8"],
-    ["C2", "C2", "C2", "C2", "C2", "C2", "C4", "C8", "C2", "C4", "C8", "C2"],
-    ["C4", "C4", "C4", "C4", "C4", "C4", "C4", "C8", "C4", "C4", "C8", "C4"],
-    ["C8", "C8", "C8", "C8", "C8", "C8", "C8", "C8", "C8", "C8", "C8", "C8"],
-    ["U1", "I1", "I2", "I4", "I8", "F2", "F4", "F8", "C2", "C4", "C8", "B1"],
+    ["U1", "I2", "I2", "I4", "I8", "F2", "F4", "F8", "C2", "C4", "C8", "U1", "BF"],
+    ["I2", "I1", "I2", "I4", "I8", "F2", "F4", "F8", "C2", "C4", "C8", "I1", "BF"],
+    ["I2", "I2", "I2", "I4", "I8", "F2", "F4", "F8", "C2", "C4", "C8", "I2", "BF"],
+    ["I4", "I4", "I4", "I4", "I8", "F2", "F4", "F8", "C2", "C4", "C8", "I4", "BF"],
+    ["I8", "I8", "I8", "I8", "I8", "F2", "F4", "F8", "C2", "C4", "C8", "I8", "BF"],
+    ["F2", "F2", "F2", "F2", "F2", "F2", "F4", "F8", "C2", "C4", "C8", "F2", "F4"],
+    ["F4", "F4", "F4", "F4", "F4", "F4", "F4", "F8", "C4", "C4", "C8", "F4", "F4"],
+    ["F8", "F8", "F8", "F8", "F8", "F8", "F8", "F8", "C8", "C8", "C8", "F8", "F8"],
+    ["C2", "C2", "C2", "C2", "C2", "C2", "C4", "C8", "C2", "C4", "C8", "C2", "C4"],
+    ["C4", "C4", "C4", "C4", "C4", "C4", "C4", "C8", "C4", "C4", "C8", "C4", "C4"],
+    ["C8", "C8", "C8", "C8", "C8", "C8", "C8", "C8", "C8", "C8", "C8", "C8", "C8"],
+    ["U1", "I1", "I2", "I4", "I8", "F2", "F4", "F8", "C2", "C4", "C8", "B1", "BF"],
+    ["BF", "BF", "BF", "BF", "BF", "F4", "F4", "F8", "C4", "C4", "C8", "BF", "BF"],
 ]
 for rowIndex, row in enumerate(promoteTypesLookup):
     for colIndex, col in enumerate(row):
diff --git a/runtime/core/exec_aten/util/scalar_type_util.h b/runtime/core/exec_aten/util/scalar_type_util.h
index 084289520a..e25c5e3692 100644
--- a/runtime/core/exec_aten/util/scalar_type_util.h
+++ b/runtime/core/exec_aten/util/scalar_type_util.h
@@ -21,12 +21,14 @@
 
 #pragma once
 
+#include <array>
 #include <cinttypes>
 #include <cstdint>
 #include <limits>
 #include <type_traits>
 
 #include <executorch/runtime/platform/assert.h>
+
 #ifdef USE_ATEN_LIB
 // Note that a lot of the macros/functions defined in this ScalarTypeUtil.h file
 // are also defined in c10/core/ScalarType.h, which is included via
@@ -35,20 +37,27 @@
 // here.
 #define ET_FORALL_SCALAR_TYPES AT_FORALL_SCALAR_TYPES_WITH_COMPLEX_AND_QINTS
 #include <c10/core/ScalarType.h>
-namespace exec_aten {
+namespace executorch {
+namespace aten {
 using ScalarType = at::ScalarType;
-}
-#else
+} // namespace aten
+} // namespace executorch
+#else // !USE_ATEN_LIB
 #include <executorch/runtime/core/portable_type/scalar_type.h>
 #include <executorch/runtime/core/portable_type/string_view.h>
-namespace exec_aten {
+namespace executorch {
+namespace aten {
 using ScalarType = torch::executor::ScalarType;
 using string_view = torch::executor::string_view;
-} // namespace exec_aten
-#endif
+} // namespace aten
+} // namespace executorch
+#endif // USE_ATEN_LIB
+// DEPRECATED: The exec_aten:: namespace is deprecated. Use executorch::aten::
+// instead.
+namespace exec_aten = ::executorch::aten;
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 #if !defined(USE_ATEN_LIB)
 // Util to figure out if the scalar type if one of the
@@ -71,16 +80,20 @@ struct is_reduced_floating_point
           bool,
           std::is_same<T, torch::executor::Half>::value ||
               std::is_same<T, torch::executor::BFloat16>::value> {};
+
+template <typename T>
+constexpr bool is_reduced_floating_point_v =
+    is_reduced_floating_point<T>::value;
 #endif
 
 /// Maps ScalarTypes to C++ types.
-template <exec_aten::ScalarType N>
+template <::executorch::aten::ScalarType N>
 struct ScalarTypeToCppType;
 
-#define SPECIALIZE_ScalarTypeToCppType(cpp_type, scalar_type)      \
-  template <>                                                      \
-  struct ScalarTypeToCppType<exec_aten::ScalarType::scalar_type> { \
-    using type = cpp_type;                                         \
+#define SPECIALIZE_ScalarTypeToCppType(cpp_type, scalar_type)               \
+  template <>                                                               \
+  struct ScalarTypeToCppType<::executorch::aten::ScalarType::scalar_type> { \
+    using type = cpp_type;                                                  \
   };
 
 ET_FORALL_SCALAR_TYPES(SPECIALIZE_ScalarTypeToCppType)
@@ -95,8 +108,8 @@ struct CppTypeToScalarType;
   template <>                                                 \
   struct CppTypeToScalarType<cpp_type>                        \
       : std::integral_constant<                               \
-            exec_aten::ScalarType,                            \
-            exec_aten::ScalarType::scalar_type> {};
+            ::executorch::aten::ScalarType,                   \
+            ::executorch::aten::ScalarType::scalar_type> {};
 
 ET_FORALL_SCALAR_TYPES(SPECIALIZE_CppTypeToScalarType)
 
@@ -141,14 +154,14 @@ ET_FORALL_SCALAR_TYPES(SPECIALIZE_CppTypeToScalarType)
   _(ANOTHER_INPUT1, ANOTHER_INPUT2, int32_t, Int)                    \
   _(ANOTHER_INPUT1, ANOTHER_INPUT2, int64_t, Long)
 
-#define ET_FORALL_INT_TYPES_AND(SCALARTYPE, _)      \
-  _(uint8_t, Byte)                                  \
-  _(int8_t, Char)                                   \
-  _(int16_t, Short)                                 \
-  _(int32_t, Int)                                   \
-  _(int64_t, Long)                                  \
-  _(::torch::executor::ScalarTypeToCppType<         \
-        ::exec_aten::ScalarType::SCALARTYPE>::type, \
+#define ET_FORALL_INT_TYPES_AND(SCALARTYPE, _)             \
+  _(uint8_t, Byte)                                         \
+  _(int8_t, Char)                                          \
+  _(int16_t, Short)                                        \
+  _(int32_t, Int)                                          \
+  _(int64_t, Long)                                         \
+  _(::executorch::runtime::ScalarTypeToCppType<            \
+        ::executorch::aten::ScalarType::SCALARTYPE>::type, \
     SCALARTYPE)
 
 // In this context, "FLOAT" means float C types, which is why BFloat16 is not
@@ -157,15 +170,28 @@ ET_FORALL_SCALAR_TYPES(SPECIALIZE_CppTypeToScalarType)
   _(float, Float)                \
   _(double, Double)
 
-#define ET_FORALL_FLOAT_TYPES_AND(SCALARTYPE, _)    \
-  _(float, Float)                                   \
-  _(double, Double)                                 \
-  _(::torch::executor::ScalarTypeToCppType<         \
-        ::exec_aten::ScalarType::SCALARTYPE>::type, \
+#define ET_FORALL_FLOAT_TYPES_AND(SCALARTYPE, _)           \
+  _(float, Float)                                          \
+  _(double, Double)                                        \
+  _(::executorch::runtime::ScalarTypeToCppType<            \
+        ::executorch::aten::ScalarType::SCALARTYPE>::type, \
     SCALARTYPE)
 
+#define ET_FORALL_FLOAT_TYPES_AND2(SCALARTYPE1, SCALARTYPE2, _) \
+  _(float, Float)                                               \
+  _(double, Double)                                             \
+  _(::executorch::runtime::ScalarTypeToCppType<                 \
+        ::executorch::aten::ScalarType::SCALARTYPE1>::type,     \
+    SCALARTYPE1)                                                \
+  _(::executorch::runtime::ScalarTypeToCppType<                 \
+        ::executorch::aten::ScalarType::SCALARTYPE2>::type,     \
+    SCALARTYPE2)
+
 #define ET_FORALL_FLOATH_TYPES(_) ET_FORALL_FLOAT_TYPES_AND(Half, _)
 
+#define ET_FORALL_FLOATHBF16_TYPES(_) \
+  ET_FORALL_FLOAT_TYPES_AND2(Half, BFloat16, _)
+
 // Here `ANOTHER_INPUT` should be another variable to be forwarded to a given
 // function. Not to be confused with another scalar type as in
 // `ET_FORALL_FLOAT_TYPES_AND`.
@@ -177,6 +203,12 @@ ET_FORALL_SCALAR_TYPES(SPECIALIZE_CppTypeToScalarType)
   _(ANOTHER_INPUT1, ANOTHER_INPUT2, float, Float)                      \
   _(ANOTHER_INPUT1, ANOTHER_INPUT2, double, Double)
 
+#define ET_FORALL_FLOATHBF16_TYPES_WITH2(ANOTHER_INPUT1, ANOTHER_INPUT2, _) \
+  _(ANOTHER_INPUT1, ANOTHER_INPUT2, float, Float)                           \
+  _(ANOTHER_INPUT1, ANOTHER_INPUT2, double, Double)                         \
+  _(ANOTHER_INPUT1, ANOTHER_INPUT2, ::executorch::aten::Half, Half)         \
+  _(ANOTHER_INPUT1, ANOTHER_INPUT2, ::executorch::aten::BFloat16, BFloat16)
+
 // In this context, "REAL" means integer/float C types, which is why BFloat16
 // and Half are not included.
 #define ET_FORALL_REAL_TYPES(_) \
@@ -209,22 +241,54 @@ ET_FORALL_SCALAR_TYPES(SPECIALIZE_CppTypeToScalarType)
   _(ANOTHER_INPUT1, ANOTHER_INPUT2, float, Float)                     \
   _(ANOTHER_INPUT1, ANOTHER_INPUT2, double, Double)
 
+#define ET_FORALL_REALHBF16_TYPES_WITH2(ANOTHER_INPUT1, ANOTHER_INPUT2, _) \
+  _(ANOTHER_INPUT1, ANOTHER_INPUT2, uint8_t, Byte)                         \
+  _(ANOTHER_INPUT1, ANOTHER_INPUT2, int8_t, Char)                          \
+  _(ANOTHER_INPUT1, ANOTHER_INPUT2, int16_t, Short)                        \
+  _(ANOTHER_INPUT1, ANOTHER_INPUT2, int32_t, Int)                          \
+  _(ANOTHER_INPUT1, ANOTHER_INPUT2, int64_t, Long)                         \
+  _(ANOTHER_INPUT1, ANOTHER_INPUT2, float, Float)                          \
+  _(ANOTHER_INPUT1, ANOTHER_INPUT2, double, Double)                        \
+  _(ANOTHER_INPUT1, ANOTHER_INPUT2, ::executorch::aten::Half, Half)        \
+  _(ANOTHER_INPUT1, ANOTHER_INPUT2, ::executorch::aten::BFloat16, BFloat16)
+
 // For macros that take `SCALARTYPEn` parameters, those parameters should be
 // an unquoted/unqualified enumerator name like `Int` or `Float`.
-#define ET_FORALL_REAL_TYPES_AND(SCALARTYPE, _)     \
-  _(uint8_t, Byte)                                  \
-  _(int8_t, Char)                                   \
-  _(int16_t, Short)                                 \
-  _(int32_t, Int)                                   \
-  _(int64_t, Long)                                  \
-  _(float, Float)                                   \
-  _(double, Double)                                 \
-  _(::torch::executor::ScalarTypeToCppType<         \
-        ::exec_aten::ScalarType::SCALARTYPE>::type, \
+#define ET_FORALL_REAL_TYPES_AND(SCALARTYPE, _)            \
+  _(uint8_t, Byte)                                         \
+  _(int8_t, Char)                                          \
+  _(int16_t, Short)                                        \
+  _(int32_t, Int)                                          \
+  _(int64_t, Long)                                         \
+  _(float, Float)                                          \
+  _(double, Double)                                        \
+  _(::executorch::runtime::ScalarTypeToCppType<            \
+        ::executorch::aten::ScalarType::SCALARTYPE>::type, \
     SCALARTYPE)
 
+#define ET_FORALL_REAL_TYPES_AND2(SCALARTYPE1, SCALARTYPE2, _) \
+  _(uint8_t, Byte)                                             \
+  _(int8_t, Char)                                              \
+  _(int16_t, Short)                                            \
+  _(int32_t, Int)                                              \
+  _(int64_t, Long)                                             \
+  _(float, Float)                                              \
+  _(double, Double)                                            \
+  _(::executorch::runtime::ScalarTypeToCppType<                \
+        ::executorch::aten::ScalarType::SCALARTYPE1>::type,    \
+    SCALARTYPE1)                                               \
+  _(::executorch::runtime::ScalarTypeToCppType<                \
+        ::executorch::aten::ScalarType::SCALARTYPE2>::type,    \
+    SCALARTYPE2)
+
 #define ET_FORALL_REALH_TYPES(_) ET_FORALL_REAL_TYPES_AND(Half, _)
 
+#define ET_FORALL_REALHBF16_TYPES(_) \
+  ET_FORALL_REAL_TYPES_AND2(Half, BFloat16, _)
+
+#define ET_FORALL_REALHBBF16_TYPES(_) \
+  ET_FORALL_REAL_TYPES_AND3(Bool, Half, BFloat16, _)
+
 #define ET_FORALL_REAL_TYPES_AND_WITH(SCALARTYPE, ANOTHER_INPUT, _) \
   _(ANOTHER_INPUT, uint8_t, Byte)                                   \
   _(ANOTHER_INPUT, int8_t, Char)                                    \
@@ -234,8 +298,8 @@ ET_FORALL_SCALAR_TYPES(SPECIALIZE_CppTypeToScalarType)
   _(ANOTHER_INPUT, float, Float)                                    \
   _(ANOTHER_INPUT, double, Double)                                  \
   _(ANOTHER_INPUT,                                                  \
-    ::torch::executor::ScalarTypeToCppType<                         \
-        ::exec_aten::ScalarType::SCALARTYPE>::type,                 \
+    ::executorch::runtime::ScalarTypeToCppType<                     \
+        ::executorch::aten::ScalarType::SCALARTYPE>::type,          \
     SCALARTYPE)
 
 #define ET_FORALL_REAL_TYPES_AND2(SCALARTYPE1, SCALARTYPE2, _) \
@@ -246,11 +310,11 @@ ET_FORALL_SCALAR_TYPES(SPECIALIZE_CppTypeToScalarType)
   _(int64_t, Long)                                             \
   _(float, Float)                                              \
   _(double, Double)                                            \
-  _(::torch::executor::ScalarTypeToCppType<                    \
-        ::exec_aten::ScalarType::SCALARTYPE1>::type,           \
+  _(::executorch::runtime::ScalarTypeToCppType<                \
+        ::executorch::aten::ScalarType::SCALARTYPE1>::type,    \
     SCALARTYPE1)                                               \
-  _(::torch::executor::ScalarTypeToCppType<                    \
-        ::exec_aten::ScalarType::SCALARTYPE2>::type,           \
+  _(::executorch::runtime::ScalarTypeToCppType<                \
+        ::executorch::aten::ScalarType::SCALARTYPE2>::type,    \
     SCALARTYPE2)
 
 #define ET_FORALL_REAL_TYPES_AND3(SCALARTYPE1, SCALARTYPE2, SCALARTYPE3, _) \
@@ -261,14 +325,14 @@ ET_FORALL_SCALAR_TYPES(SPECIALIZE_CppTypeToScalarType)
   _(int64_t, Long)                                                          \
   _(float, Float)                                                           \
   _(double, Double)                                                         \
-  _(::torch::executor::ScalarTypeToCppType<                                 \
-        ::exec_aten::ScalarType::SCALARTYPE1>::type,                        \
+  _(::executorch::runtime::ScalarTypeToCppType<                             \
+        ::executorch::aten::ScalarType::SCALARTYPE1>::type,                 \
     SCALARTYPE1)                                                            \
-  _(::torch::executor::ScalarTypeToCppType<                                 \
-        ::exec_aten::ScalarType::SCALARTYPE2>::type,                        \
+  _(::executorch::runtime::ScalarTypeToCppType<                             \
+        ::executorch::aten::ScalarType::SCALARTYPE2>::type,                 \
     SCALARTYPE2)                                                            \
-  _(::torch::executor::ScalarTypeToCppType<                                 \
-        ::exec_aten::ScalarType::SCALARTYPE3>::type,                        \
+  _(::executorch::runtime::ScalarTypeToCppType<                             \
+        ::executorch::aten::ScalarType::SCALARTYPE3>::type,                 \
     SCALARTYPE3)
 
 #define ET_FORALL_QINT_TYPES(_)            \
@@ -292,10 +356,10 @@ ET_FORALL_SCALAR_TYPES(SPECIALIZE_CppTypeToScalarType)
  * Returns true if the parameter is one of the values covered by
  * ET_FORALL_SCALAR_TYPES.
  */
-inline bool isValid(exec_aten::ScalarType type) {
+inline bool isValid(::executorch::aten::ScalarType type) {
   return static_cast<int8_t>(type) >= 0 &&
-      type < exec_aten::ScalarType::NumOptions &&
-      type != exec_aten::ScalarType::Undefined;
+      type < ::executorch::aten::ScalarType::NumOptions &&
+      type != ::executorch::aten::ScalarType::Undefined;
 }
 
 /**
@@ -304,14 +368,14 @@ inline bool isValid(exec_aten::ScalarType type) {
  * @param[in] t The type to get the name of.
  * @return The name of the type, or "UNKNOWN_SCALAR" if the type is not known.
  */
-inline const char* toString(exec_aten::ScalarType t) {
-#define DEFINE_CASE(_, name)        \
-  case exec_aten::ScalarType::name: \
+inline const char* toString(::executorch::aten::ScalarType t) {
+#define DEFINE_CASE(_, name)                 \
+  case ::executorch::aten::ScalarType::name: \
     return #name;
 
   switch (t) {
     ET_FORALL_SCALAR_TYPES(DEFINE_CASE)
-    case exec_aten::ScalarType::Undefined:
+    case ::executorch::aten::ScalarType::Undefined:
       return "Undefined";
     default:
       return "UNKNOWN_SCALAR";
@@ -327,9 +391,9 @@ inline const char* toString(exec_aten::ScalarType t) {
  * @param[in] t The type to get the underlying C type size of.
  * @return The size of the associated C type in bytes.
  */
-inline size_t elementSize(exec_aten::ScalarType t) {
-#define CASE_ELEMENTSIZE_CASE(ctype, name) \
-  case exec_aten::ScalarType::name:        \
+inline size_t elementSize(::executorch::aten::ScalarType t) {
+#define CASE_ELEMENTSIZE_CASE(ctype, name)   \
+  case ::executorch::aten::ScalarType::name: \
     return sizeof(ctype);
 
   switch (t) {
@@ -341,12 +405,14 @@ inline size_t elementSize(exec_aten::ScalarType t) {
 }
 
 inline constexpr bool isIntegralType(
-    exec_aten::ScalarType t,
+    ::executorch::aten::ScalarType t,
     bool includeBool) {
-  return (includeBool && t == exec_aten::ScalarType::Bool) ||
-      (t == exec_aten::ScalarType::Byte || t == exec_aten::ScalarType::Char ||
-       t == exec_aten::ScalarType::Int || t == exec_aten::ScalarType::Long ||
-       t == exec_aten::ScalarType::Short);
+  return (includeBool && t == ::executorch::aten::ScalarType::Bool) ||
+      (t == ::executorch::aten::ScalarType::Byte ||
+       t == ::executorch::aten::ScalarType::Char ||
+       t == ::executorch::aten::ScalarType::Int ||
+       t == ::executorch::aten::ScalarType::Long ||
+       t == ::executorch::aten::ScalarType::Short);
 }
 
 template <typename T, bool includeBool>
@@ -355,37 +421,50 @@ struct is_integral_type
           bool,
           isIntegralType(CppTypeToScalarType<T>::value, includeBool)> {};
 
-inline constexpr bool isFloatingType(exec_aten::ScalarType t) {
+inline constexpr bool isFloatingType(::executorch::aten::ScalarType t) {
   return (
-      t == exec_aten::ScalarType::Double || t == exec_aten::ScalarType::Float ||
-      t == exec_aten::ScalarType::Half || t == exec_aten::ScalarType::BFloat16);
+      t == ::executorch::aten::ScalarType::Double ||
+      t == ::executorch::aten::ScalarType::Float ||
+      t == ::executorch::aten::ScalarType::Half ||
+      t == ::executorch::aten::ScalarType::BFloat16);
 }
 
-inline bool isRealType(exec_aten::ScalarType t) {
+inline bool isRealType(::executorch::aten::ScalarType t) {
   return (
-      t == exec_aten::ScalarType::Byte || t == exec_aten::ScalarType::Char ||
-      t == exec_aten::ScalarType::Short || t == exec_aten::ScalarType::Int ||
-      t == exec_aten::ScalarType::Long || t == exec_aten::ScalarType::Float ||
-      t == exec_aten::ScalarType::Double);
+      t == ::executorch::aten::ScalarType::Byte ||
+      t == ::executorch::aten::ScalarType::Char ||
+      t == ::executorch::aten::ScalarType::Short ||
+      t == ::executorch::aten::ScalarType::Int ||
+      t == ::executorch::aten::ScalarType::Long ||
+      t == ::executorch::aten::ScalarType::Float ||
+      t == ::executorch::aten::ScalarType::Double);
 }
 
-inline bool isRealHType(exec_aten::ScalarType t) {
+inline bool isRealHType(::executorch::aten::ScalarType t) {
   return (
-      t == exec_aten::ScalarType::Byte || t == exec_aten::ScalarType::Char ||
-      t == exec_aten::ScalarType::Short || t == exec_aten::ScalarType::Int ||
-      t == exec_aten::ScalarType::Long || t == exec_aten::ScalarType::Float ||
-      t == exec_aten::ScalarType::Double || t == exec_aten::ScalarType::Half);
+      t == ::executorch::aten::ScalarType::Byte ||
+      t == ::executorch::aten::ScalarType::Char ||
+      t == ::executorch::aten::ScalarType::Short ||
+      t == ::executorch::aten::ScalarType::Int ||
+      t == ::executorch::aten::ScalarType::Long ||
+      t == ::executorch::aten::ScalarType::Float ||
+      t == ::executorch::aten::ScalarType::Double ||
+      t == ::executorch::aten::ScalarType::Half);
 }
 
-inline bool isRealHBType(exec_aten::ScalarType t) {
-  return (isRealHType(t) || t == exec_aten::ScalarType::Bool);
+inline bool isRealHBType(::executorch::aten::ScalarType t) {
+  return (isRealHType(t) || t == ::executorch::aten::ScalarType::Bool);
 }
 
-inline constexpr bool isComplexType(exec_aten::ScalarType t) {
+inline bool isRealHBBF16Type(::executorch::aten::ScalarType t) {
+  return (isRealHBType(t) || t == ::executorch::aten::ScalarType::BFloat16);
+}
+
+inline constexpr bool isComplexType(::executorch::aten::ScalarType t) {
   return (
-      t == exec_aten::ScalarType::ComplexHalf ||
-      t == exec_aten::ScalarType::ComplexFloat ||
-      t == exec_aten::ScalarType::ComplexDouble);
+      t == ::executorch::aten::ScalarType::ComplexHalf ||
+      t == ::executorch::aten::ScalarType::ComplexFloat ||
+      t == ::executorch::aten::ScalarType::ComplexDouble);
 }
 
 template <typename T>
@@ -393,11 +472,12 @@ struct is_complex_type : std::integral_constant<
                              bool,
                              isComplexType(CppTypeToScalarType<T>::value)> {};
 
-constexpr bool isBitsType(exec_aten::ScalarType t) {
-  return t == exec_aten::ScalarType::Bits1x8 ||
-      t == exec_aten::ScalarType::Bits2x4 ||
-      t == exec_aten::ScalarType::Bits4x2 ||
-      t == exec_aten::ScalarType::Bits8 || t == exec_aten::ScalarType::Bits16;
+constexpr bool isBitsType(::executorch::aten::ScalarType t) {
+  return t == ::executorch::aten::ScalarType::Bits1x8 ||
+      t == ::executorch::aten::ScalarType::Bits2x4 ||
+      t == ::executorch::aten::ScalarType::Bits4x2 ||
+      t == ::executorch::aten::ScalarType::Bits8 ||
+      t == ::executorch::aten::ScalarType::Bits16;
 }
 
 template <typename T>
@@ -405,13 +485,13 @@ struct is_bits_type
     : std::integral_constant<bool, isBitsType(CppTypeToScalarType<T>::value)> {
 };
 
-constexpr bool isQIntType(exec_aten::ScalarType t) {
+constexpr bool isQIntType(::executorch::aten::ScalarType t) {
   // Don't forget to extend this when adding new QInt types
-  return t == exec_aten::ScalarType::QInt8 ||
-      t == exec_aten::ScalarType::QUInt8 ||
-      t == exec_aten::ScalarType::QInt32 ||
-      t == exec_aten::ScalarType::QUInt4x2 ||
-      t == exec_aten::ScalarType::QUInt2x4;
+  return t == ::executorch::aten::ScalarType::QInt8 ||
+      t == ::executorch::aten::ScalarType::QUInt8 ||
+      t == ::executorch::aten::ScalarType::QInt32 ||
+      t == ::executorch::aten::ScalarType::QUInt4x2 ||
+      t == ::executorch::aten::ScalarType::QUInt2x4;
 }
 
 template <typename T>
@@ -419,49 +499,51 @@ struct is_qint_type
     : std::integral_constant<bool, isQIntType(CppTypeToScalarType<T>::value)> {
 };
 
-inline exec_aten::ScalarType toQIntType(exec_aten::ScalarType t) {
+inline ::executorch::aten::ScalarType toQIntType(
+    ::executorch::aten::ScalarType t) {
   switch (t) {
-    case exec_aten::ScalarType::Byte:
-      return exec_aten::ScalarType::QUInt8;
-    case exec_aten::ScalarType::Char:
-      return exec_aten::ScalarType::QInt8;
-    case exec_aten::ScalarType::Int:
-      return exec_aten::ScalarType::QInt32;
+    case ::executorch::aten::ScalarType::Byte:
+      return ::executorch::aten::ScalarType::QUInt8;
+    case ::executorch::aten::ScalarType::Char:
+      return ::executorch::aten::ScalarType::QInt8;
+    case ::executorch::aten::ScalarType::Int:
+      return ::executorch::aten::ScalarType::QInt32;
     default:
       return t;
   }
 }
 
-inline exec_aten::ScalarType toUnderlying(exec_aten::ScalarType t) {
+inline ::executorch::aten::ScalarType toUnderlying(
+    ::executorch::aten::ScalarType t) {
   switch (t) {
-    case exec_aten::ScalarType::QUInt8:
-      return exec_aten::ScalarType::Byte;
-    case exec_aten::ScalarType::QInt8:
-      return exec_aten::ScalarType::Char;
-    case exec_aten::ScalarType::QInt32:
-      return exec_aten::ScalarType::Int;
-    case exec_aten::ScalarType::QUInt4x2:
-      return exec_aten::ScalarType::Byte;
-    case exec_aten::ScalarType::QUInt2x4:
-      return exec_aten::ScalarType::Byte;
+    case ::executorch::aten::ScalarType::QUInt8:
+      return ::executorch::aten::ScalarType::Byte;
+    case ::executorch::aten::ScalarType::QInt8:
+      return ::executorch::aten::ScalarType::Char;
+    case ::executorch::aten::ScalarType::QInt32:
+      return ::executorch::aten::ScalarType::Int;
+    case ::executorch::aten::ScalarType::QUInt4x2:
+      return ::executorch::aten::ScalarType::Byte;
+    case ::executorch::aten::ScalarType::QUInt2x4:
+      return ::executorch::aten::ScalarType::Byte;
     default:
       return t;
   }
 }
 
-inline bool isSignedType(exec_aten::ScalarType t) {
+inline bool isSignedType(::executorch::aten::ScalarType t) {
   ET_CHECK_MSG(
-      !torch::executor::isQIntType(t),
+      !::executorch::runtime::isQIntType(t),
       "isSignedType not supported for quantized types like %" PRId8,
       static_cast<int8_t>(t));
-#define CASE_SIGNED(ctype, name)    \
-  case exec_aten::ScalarType::name: \
+#define CASE_SIGNED(ctype, name)             \
+  case ::executorch::aten::ScalarType::name: \
     return std::numeric_limits<ctype>::is_signed;
 
   switch (t) {
-    case exec_aten::ScalarType::ComplexHalf:
-    case exec_aten::ScalarType::ComplexFloat:
-    case exec_aten::ScalarType::ComplexDouble:
+    case ::executorch::aten::ScalarType::ComplexHalf:
+    case ::executorch::aten::ScalarType::ComplexFloat:
+    case ::executorch::aten::ScalarType::ComplexDouble:
       return true;
       ET_FORALL_REAL_TYPES_AND3(Half, Bool, BFloat16, CASE_SIGNED)
     default:
@@ -471,42 +553,44 @@ inline bool isSignedType(exec_aten::ScalarType t) {
 }
 
 inline bool isUnderlying(
-    exec_aten::ScalarType type,
-    exec_aten::ScalarType qtype) {
-  return type == torch::executor::toUnderlying(qtype);
+    ::executorch::aten::ScalarType type,
+    ::executorch::aten::ScalarType qtype) {
+  return type == ::executorch::runtime::toUnderlying(qtype);
 }
 
-inline exec_aten::ScalarType toRealValueType(exec_aten::ScalarType t) {
+inline ::executorch::aten::ScalarType toRealValueType(
+    ::executorch::aten::ScalarType t) {
   switch (t) {
-    case exec_aten::ScalarType::ComplexHalf:
-      return exec_aten::ScalarType::Half;
-    case exec_aten::ScalarType::ComplexFloat:
-      return exec_aten::ScalarType::Float;
-    case exec_aten::ScalarType::ComplexDouble:
-      return exec_aten::ScalarType::Double;
+    case ::executorch::aten::ScalarType::ComplexHalf:
+      return ::executorch::aten::ScalarType::Half;
+    case ::executorch::aten::ScalarType::ComplexFloat:
+      return ::executorch::aten::ScalarType::Float;
+    case ::executorch::aten::ScalarType::ComplexDouble:
+      return ::executorch::aten::ScalarType::Double;
     default:
       return t;
   }
 }
 
-inline exec_aten::ScalarType toComplexType(exec_aten::ScalarType t) {
+inline ::executorch::aten::ScalarType toComplexType(
+    ::executorch::aten::ScalarType t) {
   switch (t) {
-    case exec_aten::ScalarType::BFloat16:
+    case ::executorch::aten::ScalarType::BFloat16:
       // BFloat16 has range equivalent to Float,
       // so we map it to ComplexFloat.
-      return exec_aten::ScalarType::ComplexFloat;
-    case exec_aten::ScalarType::Half:
-      return exec_aten::ScalarType::ComplexHalf;
-    case exec_aten::ScalarType::Float:
-      return exec_aten::ScalarType::ComplexFloat;
-    case exec_aten::ScalarType::Double:
-      return exec_aten::ScalarType::ComplexDouble;
-    case exec_aten::ScalarType::ComplexHalf:
-      return exec_aten::ScalarType::ComplexHalf;
-    case exec_aten::ScalarType::ComplexFloat:
-      return exec_aten::ScalarType::ComplexFloat;
-    case exec_aten::ScalarType::ComplexDouble:
-      return exec_aten::ScalarType::ComplexDouble;
+      return ::executorch::aten::ScalarType::ComplexFloat;
+    case ::executorch::aten::ScalarType::Half:
+      return ::executorch::aten::ScalarType::ComplexHalf;
+    case ::executorch::aten::ScalarType::Float:
+      return ::executorch::aten::ScalarType::ComplexFloat;
+    case ::executorch::aten::ScalarType::Double:
+      return ::executorch::aten::ScalarType::ComplexDouble;
+    case ::executorch::aten::ScalarType::ComplexHalf:
+      return ::executorch::aten::ScalarType::ComplexHalf;
+    case ::executorch::aten::ScalarType::ComplexFloat:
+      return ::executorch::aten::ScalarType::ComplexFloat;
+    case ::executorch::aten::ScalarType::ComplexDouble:
+      return ::executorch::aten::ScalarType::ComplexDouble;
     default:
       ET_CHECK_MSG(
           false,
@@ -519,17 +603,17 @@ inline exec_aten::ScalarType toComplexType(exec_aten::ScalarType t) {
  * Encodes type casting rules that are consistent with ATen behaviour.
  */
 inline constexpr bool canCast(
-    const exec_aten::ScalarType from,
-    const exec_aten::ScalarType to) {
+    const ::executorch::aten::ScalarType from,
+    const ::executorch::aten::ScalarType to) {
   // Disallow complex -> non-complex
-  return !(torch::executor::isComplexType(from) &&
-           !torch::executor::isComplexType(to)) &&
+  return !(::executorch::runtime::isComplexType(from) &&
+           !::executorch::runtime::isComplexType(to)) &&
       // Disallow float -> integral
-      !(torch::executor::isFloatingType(from) &&
-        torch::executor::isIntegralType(to, /*includeBool*/ false)) &&
+      !(::executorch::runtime::isFloatingType(from) &&
+        ::executorch::runtime::isIntegralType(to, /*includeBool=*/false)) &&
       // Treat bool as a special category. Disallow non-bool -> bool
-      !(from != exec_aten::ScalarType::Bool &&
-        to == exec_aten::ScalarType::Bool);
+      !(from != ::executorch::aten::ScalarType::Bool &&
+        to == ::executorch::aten::ScalarType::Bool);
 }
 
 template <typename T1, typename T2>
@@ -574,21 +658,32 @@ struct promote_types_lookup<T1, T1> {
   using type = T1;
 };
 
-using U1 = typename ScalarTypeToCppType<exec_aten::ScalarType::Byte>::type;
-using I1 = typename ScalarTypeToCppType<exec_aten::ScalarType::Char>::type;
-using I2 = typename ScalarTypeToCppType<exec_aten::ScalarType::Short>::type;
-using I4 = typename ScalarTypeToCppType<exec_aten::ScalarType::Int>::type;
-using I8 = typename ScalarTypeToCppType<exec_aten::ScalarType::Long>::type;
-using F2 = typename ScalarTypeToCppType<exec_aten::ScalarType::Half>::type;
-using F4 = typename ScalarTypeToCppType<exec_aten::ScalarType::Float>::type;
-using F8 = typename ScalarTypeToCppType<exec_aten::ScalarType::Double>::type;
-using C2 =
-    typename ScalarTypeToCppType<exec_aten::ScalarType::ComplexHalf>::type;
-using C4 =
-    typename ScalarTypeToCppType<exec_aten::ScalarType::ComplexFloat>::type;
-using C8 =
-    typename ScalarTypeToCppType<exec_aten::ScalarType::ComplexDouble>::type;
-using B1 = typename ScalarTypeToCppType<exec_aten::ScalarType::Bool>::type;
+using U1 =
+    typename ScalarTypeToCppType<::executorch::aten::ScalarType::Byte>::type;
+using I1 =
+    typename ScalarTypeToCppType<::executorch::aten::ScalarType::Char>::type;
+using I2 =
+    typename ScalarTypeToCppType<::executorch::aten::ScalarType::Short>::type;
+using I4 =
+    typename ScalarTypeToCppType<::executorch::aten::ScalarType::Int>::type;
+using I8 =
+    typename ScalarTypeToCppType<::executorch::aten::ScalarType::Long>::type;
+using F2 =
+    typename ScalarTypeToCppType<::executorch::aten::ScalarType::Half>::type;
+using F4 =
+    typename ScalarTypeToCppType<::executorch::aten::ScalarType::Float>::type;
+using F8 =
+    typename ScalarTypeToCppType<::executorch::aten::ScalarType::Double>::type;
+using C2 = typename ScalarTypeToCppType<
+    ::executorch::aten::ScalarType::ComplexHalf>::type;
+using C4 = typename ScalarTypeToCppType<
+    ::executorch::aten::ScalarType::ComplexFloat>::type;
+using C8 = typename ScalarTypeToCppType<
+    ::executorch::aten::ScalarType::ComplexDouble>::type;
+using B1 =
+    typename ScalarTypeToCppType<::executorch::aten::ScalarType::Bool>::type;
+using BF = typename ScalarTypeToCppType<
+    ::executorch::aten::ScalarType::BFloat16>::type;
 
 #define TABLE_ENTRY(key1, key2, value)      \
   template <>                               \
@@ -613,6 +708,7 @@ TABLE_ENTRY(U1, C2, C2);
 TABLE_ENTRY(U1, C4, C4);
 TABLE_ENTRY(U1, C8, C8);
 TABLE_ENTRY(U1, B1, U1);
+TABLE_ENTRY(U1, BF, BF);
 TABLE_ENTRY(I1, U1, I2);
 TABLE_ENTRY(I1, I1, I1);
 TABLE_ENTRY(I1, I2, I2);
@@ -625,6 +721,7 @@ TABLE_ENTRY(I1, C2, C2);
 TABLE_ENTRY(I1, C4, C4);
 TABLE_ENTRY(I1, C8, C8);
 TABLE_ENTRY(I1, B1, I1);
+TABLE_ENTRY(I1, BF, BF);
 TABLE_ENTRY(I2, U1, I2);
 TABLE_ENTRY(I2, I1, I2);
 TABLE_ENTRY(I2, I2, I2);
@@ -637,6 +734,7 @@ TABLE_ENTRY(I2, C2, C2);
 TABLE_ENTRY(I2, C4, C4);
 TABLE_ENTRY(I2, C8, C8);
 TABLE_ENTRY(I2, B1, I2);
+TABLE_ENTRY(I2, BF, BF);
 TABLE_ENTRY(I4, U1, I4);
 TABLE_ENTRY(I4, I1, I4);
 TABLE_ENTRY(I4, I2, I4);
@@ -649,6 +747,7 @@ TABLE_ENTRY(I4, C2, C2);
 TABLE_ENTRY(I4, C4, C4);
 TABLE_ENTRY(I4, C8, C8);
 TABLE_ENTRY(I4, B1, I4);
+TABLE_ENTRY(I4, BF, BF);
 TABLE_ENTRY(I8, U1, I8);
 TABLE_ENTRY(I8, I1, I8);
 TABLE_ENTRY(I8, I2, I8);
@@ -661,6 +760,7 @@ TABLE_ENTRY(I8, C2, C2);
 TABLE_ENTRY(I8, C4, C4);
 TABLE_ENTRY(I8, C8, C8);
 TABLE_ENTRY(I8, B1, I8);
+TABLE_ENTRY(I8, BF, BF);
 TABLE_ENTRY(F2, U1, F2);
 TABLE_ENTRY(F2, I1, F2);
 TABLE_ENTRY(F2, I2, F2);
@@ -673,6 +773,7 @@ TABLE_ENTRY(F2, C2, C2);
 TABLE_ENTRY(F2, C4, C4);
 TABLE_ENTRY(F2, C8, C8);
 TABLE_ENTRY(F2, B1, F2);
+TABLE_ENTRY(F2, BF, F4);
 TABLE_ENTRY(F4, U1, F4);
 TABLE_ENTRY(F4, I1, F4);
 TABLE_ENTRY(F4, I2, F4);
@@ -685,6 +786,7 @@ TABLE_ENTRY(F4, C2, C4);
 TABLE_ENTRY(F4, C4, C4);
 TABLE_ENTRY(F4, C8, C8);
 TABLE_ENTRY(F4, B1, F4);
+TABLE_ENTRY(F4, BF, F4);
 TABLE_ENTRY(F8, U1, F8);
 TABLE_ENTRY(F8, I1, F8);
 TABLE_ENTRY(F8, I2, F8);
@@ -697,6 +799,7 @@ TABLE_ENTRY(F8, C2, C8);
 TABLE_ENTRY(F8, C4, C8);
 TABLE_ENTRY(F8, C8, C8);
 TABLE_ENTRY(F8, B1, F8);
+TABLE_ENTRY(F8, BF, F8);
 TABLE_ENTRY(C2, U1, C2);
 TABLE_ENTRY(C2, I1, C2);
 TABLE_ENTRY(C2, I2, C2);
@@ -709,6 +812,7 @@ TABLE_ENTRY(C2, C2, C2);
 TABLE_ENTRY(C2, C4, C4);
 TABLE_ENTRY(C2, C8, C8);
 TABLE_ENTRY(C2, B1, C2);
+TABLE_ENTRY(C2, BF, C4);
 TABLE_ENTRY(C4, U1, C4);
 TABLE_ENTRY(C4, I1, C4);
 TABLE_ENTRY(C4, I2, C4);
@@ -721,6 +825,7 @@ TABLE_ENTRY(C4, C2, C4);
 TABLE_ENTRY(C4, C4, C4);
 TABLE_ENTRY(C4, C8, C8);
 TABLE_ENTRY(C4, B1, C4);
+TABLE_ENTRY(C4, BF, C4);
 TABLE_ENTRY(C8, U1, C8);
 TABLE_ENTRY(C8, I1, C8);
 TABLE_ENTRY(C8, I2, C8);
@@ -733,6 +838,7 @@ TABLE_ENTRY(C8, C2, C8);
 TABLE_ENTRY(C8, C4, C8);
 TABLE_ENTRY(C8, C8, C8);
 TABLE_ENTRY(C8, B1, C8);
+TABLE_ENTRY(C8, BF, C8);
 TABLE_ENTRY(B1, U1, U1);
 TABLE_ENTRY(B1, I1, I1);
 TABLE_ENTRY(B1, I2, I2);
@@ -745,6 +851,20 @@ TABLE_ENTRY(B1, C2, C2);
 TABLE_ENTRY(B1, C4, C4);
 TABLE_ENTRY(B1, C8, C8);
 TABLE_ENTRY(B1, B1, B1);
+TABLE_ENTRY(B1, BF, BF);
+TABLE_ENTRY(BF, U1, BF);
+TABLE_ENTRY(BF, I1, BF);
+TABLE_ENTRY(BF, I2, BF);
+TABLE_ENTRY(BF, I4, BF);
+TABLE_ENTRY(BF, I8, BF);
+TABLE_ENTRY(BF, F2, F4);
+TABLE_ENTRY(BF, F4, F4);
+TABLE_ENTRY(BF, F8, F8);
+TABLE_ENTRY(BF, C2, C4);
+TABLE_ENTRY(BF, C4, C4);
+TABLE_ENTRY(BF, C8, C8);
+TABLE_ENTRY(BF, B1, BF);
+TABLE_ENTRY(BF, BF, BF);
 
 } // namespace internal
 
@@ -760,98 +880,105 @@ struct promote_types {
           (!is_bits_type<T1>::value && !is_bits_type<T2>::value),
       "promote_types not valid for bits dtypes");
 
-  static_assert(
-      !std::is_same<
-          T1,
-          typename ScalarTypeToCppType<exec_aten::ScalarType::BFloat16>::type>::
-              value &&
-          !std::is_same<
-              T2,
-              typename ScalarTypeToCppType<
-                  exec_aten::ScalarType::BFloat16>::type>::value,
-      "promote_types not valid for BFloat16");
   using promoted_type_not_respecting_half_to_float =
       typename internal::promote_types_lookup<T1, T2>::type;
 
  public:
   using type = typename std::conditional<
       half_to_float &&
-          std::is_same<
-              promoted_type_not_respecting_half_to_float,
-              typename ScalarTypeToCppType<exec_aten::ScalarType::Half>::type>::
-              value,
-      typename ScalarTypeToCppType<exec_aten::ScalarType::Float>::type,
+          (std::is_same<
+               promoted_type_not_respecting_half_to_float,
+               typename ScalarTypeToCppType<
+                   ::executorch::aten::ScalarType::Half>::type>::value ||
+           std::is_same<
+               promoted_type_not_respecting_half_to_float,
+               typename ScalarTypeToCppType<
+                   ::executorch::aten::ScalarType::BFloat16>::type>::value),
+      typename ScalarTypeToCppType<::executorch::aten::ScalarType::Float>::type,
       promoted_type_not_respecting_half_to_float>::type;
 };
 
 /**
  * Implements type promotion rules that are consistent with ATen behaviour,
  * which in turn is consistent with NumPy's promote_types.
- * If half_to_float is set to true, then half will be promoted to float instead
+ * If half_to_float is set to true, then half and bfloat16 will be promoted to
+ * float instead
  */
-inline exec_aten::ScalarType promoteTypes(
-    exec_aten::ScalarType a,
-    exec_aten::ScalarType b,
+inline ::executorch::aten::ScalarType promoteTypes(
+    ::executorch::aten::ScalarType a,
+    ::executorch::aten::ScalarType b,
     bool half_to_float = false) {
   // This is generated according to NumPy's promote_types
-  constexpr auto u1 = exec_aten::ScalarType::Byte;
-  constexpr auto i1 = exec_aten::ScalarType::Char;
-  constexpr auto i2 = exec_aten::ScalarType::Short;
-  constexpr auto i4 = exec_aten::ScalarType::Int;
-  constexpr auto i8 = exec_aten::ScalarType::Long;
-  constexpr auto f2 = exec_aten::ScalarType::Half;
-  constexpr auto f4 = exec_aten::ScalarType::Float;
-  constexpr auto f8 = exec_aten::ScalarType::Double;
-  constexpr auto c2 = exec_aten::ScalarType::ComplexHalf;
-  constexpr auto c4 = exec_aten::ScalarType::ComplexFloat;
-  constexpr auto c8 = exec_aten::ScalarType::ComplexDouble;
-  constexpr auto b1 = exec_aten::ScalarType::Bool;
+  constexpr auto u1 = ::executorch::aten::ScalarType::Byte;
+  constexpr auto i1 = ::executorch::aten::ScalarType::Char;
+  constexpr auto i2 = ::executorch::aten::ScalarType::Short;
+  constexpr auto i4 = ::executorch::aten::ScalarType::Int;
+  constexpr auto i8 = ::executorch::aten::ScalarType::Long;
+  constexpr auto f2 = ::executorch::aten::ScalarType::Half;
+  constexpr auto f4 = ::executorch::aten::ScalarType::Float;
+  constexpr auto f8 = ::executorch::aten::ScalarType::Double;
+  constexpr auto c2 = ::executorch::aten::ScalarType::ComplexHalf;
+  constexpr auto c4 = ::executorch::aten::ScalarType::ComplexFloat;
+  constexpr auto c8 = ::executorch::aten::ScalarType::ComplexDouble;
+  constexpr auto b1 = ::executorch::aten::ScalarType::Bool;
+  constexpr auto bf = ::executorch::aten::ScalarType::BFloat16;
 
   // For QInt types, only allow exact match
-  if (torch::executor::isQIntType(a) && a == b) {
+  if (::executorch::runtime::isQIntType(a) && a == b) {
     return a;
   }
-  if (torch::executor::isQIntType(a) || torch::executor::isQIntType(b)) {
+  if (::executorch::runtime::isQIntType(a) ||
+      ::executorch::runtime::isQIntType(b)) {
     ET_CHECK_MSG(false, "promoteTypes not valid for quantized dtypes");
   }
 
   // For Bits types, only allow exact match
-  if (torch::executor::isBitsType(a) && a == b) {
+  if (::executorch::runtime::isBitsType(a) && a == b) {
     return a;
   }
-  if (torch::executor::isBitsType(a) || torch::executor::isBitsType(b)) {
+  if (::executorch::runtime::isBitsType(a) ||
+      ::executorch::runtime::isBitsType(b)) {
     ET_CHECK_MSG(false, "promoteTypes not valid for bits dtypes");
   }
 
-  ET_CHECK_MSG(
-      a != exec_aten::ScalarType::BFloat16 &&
-          b != exec_aten::ScalarType::BFloat16,
-      "promoteTypes not valid for BFloat16");
   // 12 types are handled by this function, see the constexpr definitions above
-  const int NUM_PROMOTE_TYPES = 12;
-
-  static constexpr exec_aten::ScalarType
+  const int NUM_PROMOTE_TYPES = 13;
+
+  static constexpr std::
+      array<int, int(::executorch::aten::ScalarType::NumOptions)>
+          dtype2index = {{
+              0,  1,  2,  3,  4,  5,  6,  7,  8,  9,  10, 11,
+              -1, -1, -1, 12, -1, -1, -1, -1, -1, -1, -1, -1,
+          }};
+  auto ix_a = dtype2index[(int)a];
+  ET_CHECK(ix_a != -1);
+  auto ix_b = dtype2index[(int)b];
+  ET_CHECK(ix_b != -1);
+  static constexpr ::executorch::aten::ScalarType
       _promoteTypesLookup[NUM_PROMOTE_TYPES][NUM_PROMOTE_TYPES] = {
-          /*        u1  i1  i2  i4  i8  f2  f4  f8  c2  c4  c8  b1  */
-          /* u1 */ {u1, i2, i2, i4, i8, f2, f4, f8, c2, c4, c8, u1},
-          /* i1 */ {i2, i1, i2, i4, i8, f2, f4, f8, c2, c4, c8, i1},
-          /* i2 */ {i2, i2, i2, i4, i8, f2, f4, f8, c2, c4, c8, i2},
-          /* i4 */ {i4, i4, i4, i4, i8, f2, f4, f8, c2, c4, c8, i4},
-          /* i8 */ {i8, i8, i8, i8, i8, f2, f4, f8, c2, c4, c8, i8},
-          /* f2 */ {f2, f2, f2, f2, f2, f2, f4, f8, c2, c4, c8, f2},
-          /* f4 */ {f4, f4, f4, f4, f4, f4, f4, f8, c4, c4, c8, f4},
-          /* f8 */ {f8, f8, f8, f8, f8, f8, f8, f8, c8, c8, c8, f8},
-          /* c2 */ {c2, c2, c2, c2, c2, c2, c4, c8, c2, c4, c8, c2},
-          /* c4 */ {c4, c4, c4, c4, c4, c4, c4, c8, c4, c4, c8, c4},
-          /* c8 */ {c8, c8, c8, c8, c8, c8, c8, c8, c8, c8, c8, c8},
-          /* b1 */ {u1, i1, i2, i4, i8, f2, f4, f8, c2, c4, c8, b1},
+          /*        u1  i1  i2  i4  i8  f2  f4  f8  c2  c4  c8  b1  bf*/
+          /* u1 */ {u1, i2, i2, i4, i8, f2, f4, f8, c2, c4, c8, u1, bf},
+          /* i1 */ {i2, i1, i2, i4, i8, f2, f4, f8, c2, c4, c8, i1, bf},
+          /* i2 */ {i2, i2, i2, i4, i8, f2, f4, f8, c2, c4, c8, i2, bf},
+          /* i4 */ {i4, i4, i4, i4, i8, f2, f4, f8, c2, c4, c8, i4, bf},
+          /* i8 */ {i8, i8, i8, i8, i8, f2, f4, f8, c2, c4, c8, i8, bf},
+          /* f2 */ {f2, f2, f2, f2, f2, f2, f4, f8, c2, c4, c8, f2, f4},
+          /* f4 */ {f4, f4, f4, f4, f4, f4, f4, f8, c4, c4, c8, f4, f4},
+          /* f8 */ {f8, f8, f8, f8, f8, f8, f8, f8, c8, c8, c8, f8, f8},
+          /* c2 */ {c2, c2, c2, c2, c2, c2, c4, c8, c2, c4, c8, c2, c4},
+          /* c4 */ {c4, c4, c4, c4, c4, c4, c4, c8, c4, c4, c8, c4, c4},
+          /* c8 */ {c8, c8, c8, c8, c8, c8, c8, c8, c8, c8, c8, c8, c8},
+          /* b1 */ {u1, i1, i2, i4, i8, f2, f4, f8, c2, c4, c8, b1, bf},
+          /* bf */ {bf, bf, bf, bf, bf, f4, f4, f8, c4, c4, c8, bf, bf},
       };
 
-  exec_aten::ScalarType promoted_type =
-      _promoteTypesLookup[static_cast<int>(a)][static_cast<int>(b)];
+  ::executorch::aten::ScalarType promoted_type =
+      _promoteTypesLookup[ix_a][ix_b];
 
-  if (half_to_float && promoted_type == exec_aten::ScalarType::Half) {
-    promoted_type = exec_aten::ScalarType::Float;
+  if (half_to_float &&
+      (promoted_type == ::executorch::aten::ScalarType::Half ||
+       promoted_type == ::executorch::aten::ScalarType::BFloat16)) {
+    promoted_type = ::executorch::aten::ScalarType::Float;
   }
 
   return promoted_type;
@@ -866,17 +993,19 @@ inline exec_aten::ScalarType promoteTypes(
 //
 
 #ifdef ET_INTERNAL_CHECK_SELECTIVE_BUILD
-#define ET_INTERNAL_SWITCH_CASE(enum_type, CTYPE_ALIAS, ...)  \
-  case enum_type: {                                           \
-    ET_INTERNAL_CHECK_SELECTIVE_BUILD(enum_type);             \
-    using CTYPE_ALIAS = ScalarTypeToCppType<enum_type>::type; \
-    return __VA_ARGS__();                                     \
+#define ET_INTERNAL_SWITCH_CASE(enum_type, CTYPE_ALIAS, ...)         \
+  case enum_type: {                                                  \
+    ET_INTERNAL_CHECK_SELECTIVE_BUILD(enum_type);                    \
+    using CTYPE_ALIAS =                                              \
+        ::executorch::runtime::ScalarTypeToCppType<enum_type>::type; \
+    return __VA_ARGS__();                                            \
   }
 #else
-#define ET_INTERNAL_SWITCH_CASE(enum_type, CTYPE_ALIAS, ...)  \
-  case enum_type: {                                           \
-    using CTYPE_ALIAS = ScalarTypeToCppType<enum_type>::type; \
-    return __VA_ARGS__();                                     \
+#define ET_INTERNAL_SWITCH_CASE(enum_type, CTYPE_ALIAS, ...)         \
+  case enum_type: {                                                  \
+    using CTYPE_ALIAS =                                              \
+        ::executorch::runtime::ScalarTypeToCppType<enum_type>::type; \
+    return __VA_ARGS__();                                            \
   }
 #endif
 
@@ -884,163 +1013,180 @@ inline exec_aten::ScalarType promoteTypes(
   [&] {                                              \
     const auto& _st = TYPE;                          \
     constexpr const char* et_switch_name = NAME;     \
+    (void)et_switch_name; /* Suppress unused var */  \
     switch (_st) {                                   \
       __VA_ARGS__                                    \
       default:                                       \
         ET_CHECK_MSG(                                \
             false,                                   \
             "Unhandled dtype %s for %s",             \
-            torch::executor::toString(_st),          \
+            ::executorch::runtime::toString(_st),    \
             et_switch_name);                         \
     }                                                \
   }()
 
-#define ET_INTERNAL_SWITCH_CASE_ALL_TYPES(CTYPE_ALIAS, ...)           \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::Byte, CTYPE_ALIAS, __VA_ARGS__)          \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::Char, CTYPE_ALIAS, __VA_ARGS__)          \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::Short, CTYPE_ALIAS, __VA_ARGS__)         \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::Int, CTYPE_ALIAS, __VA_ARGS__)           \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::Long, CTYPE_ALIAS, __VA_ARGS__)          \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::Half, CTYPE_ALIAS, __VA_ARGS__)          \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::Float, CTYPE_ALIAS, __VA_ARGS__)         \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::Double, CTYPE_ALIAS, __VA_ARGS__)        \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::ComplexHalf, CTYPE_ALIAS, __VA_ARGS__)   \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::ComplexFloat, CTYPE_ALIAS, __VA_ARGS__)  \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::ComplexDouble, CTYPE_ALIAS, __VA_ARGS__) \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::Bool, CTYPE_ALIAS, __VA_ARGS__)          \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::QInt8, CTYPE_ALIAS, __VA_ARGS__)         \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::QUInt8, CTYPE_ALIAS, __VA_ARGS__)        \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::QInt32, CTYPE_ALIAS, __VA_ARGS__)        \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::BFloat16, CTYPE_ALIAS, __VA_ARGS__)      \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::QUInt4x2, CTYPE_ALIAS, __VA_ARGS__)      \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::QUInt2x4, CTYPE_ALIAS, __VA_ARGS__)      \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::Bits1x8, CTYPE_ALIAS, __VA_ARGS__)       \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::Bits2x4, CTYPE_ALIAS, __VA_ARGS__)       \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::Bits4x2, CTYPE_ALIAS, __VA_ARGS__)       \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::Bits8, CTYPE_ALIAS, __VA_ARGS__)         \
-  ET_INTERNAL_SWITCH_CASE(                                            \
-      exec_aten::ScalarType::Bits16, CTYPE_ALIAS, __VA_ARGS__)
-
-#define ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, ...)  \
-  ET_INTERNAL_SWITCH_CASE(                                    \
-      exec_aten::ScalarType::Byte, CTYPE_ALIAS, __VA_ARGS__)  \
-  ET_INTERNAL_SWITCH_CASE(                                    \
-      exec_aten::ScalarType::Char, CTYPE_ALIAS, __VA_ARGS__)  \
-  ET_INTERNAL_SWITCH_CASE(                                    \
-      exec_aten::ScalarType::Short, CTYPE_ALIAS, __VA_ARGS__) \
-  ET_INTERNAL_SWITCH_CASE(                                    \
-      exec_aten::ScalarType::Int, CTYPE_ALIAS, __VA_ARGS__)   \
-  ET_INTERNAL_SWITCH_CASE(                                    \
-      exec_aten::ScalarType::Long, CTYPE_ALIAS, __VA_ARGS__)  \
-  ET_INTERNAL_SWITCH_CASE(                                    \
-      exec_aten::ScalarType::Float, CTYPE_ALIAS, __VA_ARGS__) \
-  ET_INTERNAL_SWITCH_CASE(                                    \
-      exec_aten::ScalarType::Double, CTYPE_ALIAS, __VA_ARGS__)
+#define ET_INTERNAL_SWITCH_CASE_ALL_TYPES(CTYPE_ALIAS, ...)                    \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::Byte, CTYPE_ALIAS, __VA_ARGS__)          \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::Char, CTYPE_ALIAS, __VA_ARGS__)          \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::Short, CTYPE_ALIAS, __VA_ARGS__)         \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::Int, CTYPE_ALIAS, __VA_ARGS__)           \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::Long, CTYPE_ALIAS, __VA_ARGS__)          \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::Half, CTYPE_ALIAS, __VA_ARGS__)          \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::Float, CTYPE_ALIAS, __VA_ARGS__)         \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::Double, CTYPE_ALIAS, __VA_ARGS__)        \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::ComplexHalf, CTYPE_ALIAS, __VA_ARGS__)   \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::ComplexFloat, CTYPE_ALIAS, __VA_ARGS__)  \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::ComplexDouble, CTYPE_ALIAS, __VA_ARGS__) \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::Bool, CTYPE_ALIAS, __VA_ARGS__)          \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::QInt8, CTYPE_ALIAS, __VA_ARGS__)         \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::QUInt8, CTYPE_ALIAS, __VA_ARGS__)        \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::QInt32, CTYPE_ALIAS, __VA_ARGS__)        \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::BFloat16, CTYPE_ALIAS, __VA_ARGS__)      \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::QUInt4x2, CTYPE_ALIAS, __VA_ARGS__)      \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::QUInt2x4, CTYPE_ALIAS, __VA_ARGS__)      \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::Bits1x8, CTYPE_ALIAS, __VA_ARGS__)       \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::Bits2x4, CTYPE_ALIAS, __VA_ARGS__)       \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::Bits4x2, CTYPE_ALIAS, __VA_ARGS__)       \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::Bits8, CTYPE_ALIAS, __VA_ARGS__)         \
+  ET_INTERNAL_SWITCH_CASE(                                                     \
+      ::executorch::aten::ScalarType::Bits16, CTYPE_ALIAS, __VA_ARGS__)
+
+#define ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, ...)           \
+  ET_INTERNAL_SWITCH_CASE(                                             \
+      ::executorch::aten::ScalarType::Byte, CTYPE_ALIAS, __VA_ARGS__)  \
+  ET_INTERNAL_SWITCH_CASE(                                             \
+      ::executorch::aten::ScalarType::Char, CTYPE_ALIAS, __VA_ARGS__)  \
+  ET_INTERNAL_SWITCH_CASE(                                             \
+      ::executorch::aten::ScalarType::Short, CTYPE_ALIAS, __VA_ARGS__) \
+  ET_INTERNAL_SWITCH_CASE(                                             \
+      ::executorch::aten::ScalarType::Int, CTYPE_ALIAS, __VA_ARGS__)   \
+  ET_INTERNAL_SWITCH_CASE(                                             \
+      ::executorch::aten::ScalarType::Long, CTYPE_ALIAS, __VA_ARGS__)  \
+  ET_INTERNAL_SWITCH_CASE(                                             \
+      ::executorch::aten::ScalarType::Float, CTYPE_ALIAS, __VA_ARGS__) \
+  ET_INTERNAL_SWITCH_CASE(                                             \
+      ::executorch::aten::ScalarType::Double, CTYPE_ALIAS, __VA_ARGS__)
 
 #define ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND(ADDITIONAL, CTYPE_ALIAS, ...) \
   ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__)               \
   ET_INTERNAL_SWITCH_CASE(                                                   \
-      exec_aten::ScalarType::ADDITIONAL, CTYPE_ALIAS, __VA_ARGS__)
-
-#define ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND2(                    \
-    ADDITIONAL1, ADDITIONAL2, CTYPE_ALIAS, ...)                     \
-  ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__)      \
-  ET_INTERNAL_SWITCH_CASE(                                          \
-      exec_aten::ScalarType::ADDITIONAL1, CTYPE_ALIAS, __VA_ARGS__) \
-  ET_INTERNAL_SWITCH_CASE(                                          \
-      exec_aten::ScalarType::ADDITIONAL2, CTYPE_ALIAS, __VA_ARGS__)
-
-#define ET_INTERNAL_SWITCH_CASE_INT_TYPES(CTYPE_ALIAS, ...)   \
-  ET_INTERNAL_SWITCH_CASE(                                    \
-      exec_aten::ScalarType::Byte, CTYPE_ALIAS, __VA_ARGS__)  \
-  ET_INTERNAL_SWITCH_CASE(                                    \
-      exec_aten::ScalarType::Char, CTYPE_ALIAS, __VA_ARGS__)  \
-  ET_INTERNAL_SWITCH_CASE(                                    \
-      exec_aten::ScalarType::Short, CTYPE_ALIAS, __VA_ARGS__) \
-  ET_INTERNAL_SWITCH_CASE(                                    \
-      exec_aten::ScalarType::Int, CTYPE_ALIAS, __VA_ARGS__)   \
-  ET_INTERNAL_SWITCH_CASE(exec_aten::ScalarType::Long, CTYPE_ALIAS, __VA_ARGS__)
+      ::executorch::aten::ScalarType::ADDITIONAL, CTYPE_ALIAS, __VA_ARGS__)
+
+#define ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND2(                             \
+    ADDITIONAL1, ADDITIONAL2, CTYPE_ALIAS, ...)                              \
+  ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__)               \
+  ET_INTERNAL_SWITCH_CASE(                                                   \
+      ::executorch::aten::ScalarType::ADDITIONAL1, CTYPE_ALIAS, __VA_ARGS__) \
+  ET_INTERNAL_SWITCH_CASE(                                                   \
+      ::executorch::aten::ScalarType::ADDITIONAL2, CTYPE_ALIAS, __VA_ARGS__)
+
+#define ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND3(             \
+    ADDITIONAL1, ADDITIONAL2, ADDITIONAL3, CTYPE_ALIAS, ...) \
+  ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND2(                   \
+      ADDITIONAL1, ADDITIONAL2, CTYPE_ALIAS, __VA_ARGS__)    \
+  ET_INTERNAL_SWITCH_CASE(                                   \
+      ::executorch::aten::ScalarType::ADDITIONAL3, CTYPE_ALIAS, __VA_ARGS__)
+
+#define ET_INTERNAL_SWITCH_CASE_INT_TYPES(CTYPE_ALIAS, ...)            \
+  ET_INTERNAL_SWITCH_CASE(                                             \
+      ::executorch::aten::ScalarType::Byte, CTYPE_ALIAS, __VA_ARGS__)  \
+  ET_INTERNAL_SWITCH_CASE(                                             \
+      ::executorch::aten::ScalarType::Char, CTYPE_ALIAS, __VA_ARGS__)  \
+  ET_INTERNAL_SWITCH_CASE(                                             \
+      ::executorch::aten::ScalarType::Short, CTYPE_ALIAS, __VA_ARGS__) \
+  ET_INTERNAL_SWITCH_CASE(                                             \
+      ::executorch::aten::ScalarType::Int, CTYPE_ALIAS, __VA_ARGS__)   \
+  ET_INTERNAL_SWITCH_CASE(                                             \
+      ::executorch::aten::ScalarType::Long, CTYPE_ALIAS, __VA_ARGS__)
 
 #define ET_INTERNAL_SWITCH_CASE_INT_TYPES_AND(ADDITIONAL, CTYPE_ALIAS, ...) \
   ET_INTERNAL_SWITCH_CASE_INT_TYPES(CTYPE_ALIAS, __VA_ARGS__)               \
   ET_INTERNAL_SWITCH_CASE(                                                  \
-      exec_aten::ScalarType::ADDITIONAL, CTYPE_ALIAS, __VA_ARGS__)
+      ::executorch::aten::ScalarType::ADDITIONAL, CTYPE_ALIAS, __VA_ARGS__)
 
-#define ET_INTERNAL_SWITCH_CASE_FLOAT_TYPES(CTYPE_ALIAS, ...)  \
-  ET_INTERNAL_SWITCH_CASE(                                     \
-      exec_aten::ScalarType::Double, CTYPE_ALIAS, __VA_ARGS__) \
-  ET_INTERNAL_SWITCH_CASE(                                     \
-      exec_aten::ScalarType::Float, CTYPE_ALIAS, __VA_ARGS__)
+#define ET_INTERNAL_SWITCH_CASE_FLOAT_TYPES(CTYPE_ALIAS, ...)           \
+  ET_INTERNAL_SWITCH_CASE(                                              \
+      ::executorch::aten::ScalarType::Double, CTYPE_ALIAS, __VA_ARGS__) \
+  ET_INTERNAL_SWITCH_CASE(                                              \
+      ::executorch::aten::ScalarType::Float, CTYPE_ALIAS, __VA_ARGS__)
 
 #define ET_INTERNAL_SWITCH_CASE_FLOAT_TYPES_AND(ADDITIONAL, CTYPE_ALIAS, ...) \
   ET_INTERNAL_SWITCH_CASE_FLOAT_TYPES(CTYPE_ALIAS, __VA_ARGS__)               \
   ET_INTERNAL_SWITCH_CASE(                                                    \
-      exec_aten::ScalarType::ADDITIONAL, CTYPE_ALIAS, __VA_ARGS__)
-
-#define ET_INTERNAL_SWITCH_CASE_QINT_TYPES(CTYPE_ALIAS, ...)     \
-  ET_INTERNAL_SWITCH_CASE(                                       \
-      exec_aten::ScalarType::QInt8, CTYPE_ALIAS, __VA_ARGS__)    \
-  ET_INTERNAL_SWITCH_CASE(                                       \
-      exec_aten::ScalarType::QUInt8, CTYPE_ALIAS, __VA_ARGS__)   \
-  ET_INTERNAL_SWITCH_CASE(                                       \
-      exec_aten::ScalarType::QInt32, CTYPE_ALIAS, __VA_ARGS__)   \
-  ET_INTERNAL_SWITCH_CASE(                                       \
-      exec_aten::ScalarType::QUInt4x2, CTYPE_ALIAS, __VA_ARGS__) \
-  ET_INTERNAL_SWITCH_CASE(                                       \
-      exec_aten::ScalarType::QUInt2x4, CTYPE_ALIAS, __VA_ARGS__)
-
-#define ET_INTERNAL_SWITCH_CASE_COMPLEX_TYPES(CTYPE_ALIAS, ...)      \
-  ET_INTERNAL_SWITCH_CASE(                                           \
-      exec_aten::ScalarType::ComplexFloat, CTYPE_ALIAS, __VA_ARGS__) \
-  ET_INTERNAL_SWITCH_CASE(                                           \
-      exec_aten::ScalarType::ComplexDouble, CTYPE_ALIAS, __VA_ARGS__)
-
-#define ET_INTERNAL_SWITCH_CASE_SCALAR_OBJ_TYPES(CTYPE_ALIAS, ...) \
-  ET_INTERNAL_SWITCH_CASE(                                         \
-      exec_aten::ScalarType::Bool, CTYPE_ALIAS, __VA_ARGS__)       \
-  ET_INTERNAL_SWITCH_CASE(                                         \
-      exec_aten::ScalarType::Long, CTYPE_ALIAS, __VA_ARGS__)       \
-  ET_INTERNAL_SWITCH_CASE(                                         \
-      exec_aten::ScalarType::Double, CTYPE_ALIAS, __VA_ARGS__)
+      ::executorch::aten::ScalarType::ADDITIONAL, CTYPE_ALIAS, __VA_ARGS__)
+
+#define ET_INTERNAL_SWITCH_CASE_FLOAT_TYPES_AND2( \
+    ADDITIONAL1, ADDITIONAL2, CTYPE_ALIAS, ...)   \
+  ET_INTERNAL_SWITCH_CASE_FLOAT_TYPES_AND(        \
+      ADDITIONAL1, CTYPE_ALIAS, __VA_ARGS__)      \
+  ET_INTERNAL_SWITCH_CASE(                        \
+      ::executorch::aten::ScalarType::ADDITIONAL2, CTYPE_ALIAS, __VA_ARGS__)
+
+#define ET_INTERNAL_SWITCH_CASE_QINT_TYPES(CTYPE_ALIAS, ...)              \
+  ET_INTERNAL_SWITCH_CASE(                                                \
+      ::executorch::aten::ScalarType::QInt8, CTYPE_ALIAS, __VA_ARGS__)    \
+  ET_INTERNAL_SWITCH_CASE(                                                \
+      ::executorch::aten::ScalarType::QUInt8, CTYPE_ALIAS, __VA_ARGS__)   \
+  ET_INTERNAL_SWITCH_CASE(                                                \
+      ::executorch::aten::ScalarType::QInt32, CTYPE_ALIAS, __VA_ARGS__)   \
+  ET_INTERNAL_SWITCH_CASE(                                                \
+      ::executorch::aten::ScalarType::QUInt4x2, CTYPE_ALIAS, __VA_ARGS__) \
+  ET_INTERNAL_SWITCH_CASE(                                                \
+      ::executorch::aten::ScalarType::QUInt2x4, CTYPE_ALIAS, __VA_ARGS__)
+
+#define ET_INTERNAL_SWITCH_CASE_COMPLEX_TYPES(CTYPE_ALIAS, ...)               \
+  ET_INTERNAL_SWITCH_CASE(                                                    \
+      ::executorch::aten::ScalarType::ComplexFloat, CTYPE_ALIAS, __VA_ARGS__) \
+  ET_INTERNAL_SWITCH_CASE(                                                    \
+      ::executorch::aten::ScalarType::ComplexDouble, CTYPE_ALIAS, __VA_ARGS__)
+
+#define ET_INTERNAL_SWITCH_CASE_SCALAR_OBJ_TYPES(CTYPE_ALIAS, ...)    \
+  ET_INTERNAL_SWITCH_CASE(                                            \
+      ::executorch::aten::ScalarType::Bool, CTYPE_ALIAS, __VA_ARGS__) \
+  ET_INTERNAL_SWITCH_CASE(                                            \
+      ::executorch::aten::ScalarType::Long, CTYPE_ALIAS, __VA_ARGS__) \
+  ET_INTERNAL_SWITCH_CASE(                                            \
+      ::executorch::aten::ScalarType::Double, CTYPE_ALIAS, __VA_ARGS__)
 
 #define ET_INTERNAL_SWITCH_CASE_SCALAR_OBJ_REAL_TYPES(CTYPE_ALIAS, ...) \
   ET_INTERNAL_SWITCH_CASE(                                              \
-      exec_aten::ScalarType::Long, CTYPE_ALIAS, __VA_ARGS__)            \
+      ::executorch::aten::ScalarType::Long, CTYPE_ALIAS, __VA_ARGS__)   \
   ET_INTERNAL_SWITCH_CASE(                                              \
-      exec_aten::ScalarType::Double, CTYPE_ALIAS, __VA_ARGS__)
+      ::executorch::aten::ScalarType::Double, CTYPE_ALIAS, __VA_ARGS__)
 
 #define ET_INTERNAL_SWITCH_CASE_SCALAR_OBJ_INTB_TYPES(CTYPE_ALIAS, ...) \
   ET_INTERNAL_SWITCH_CASE(                                              \
-      exec_aten::ScalarType::Bool, CTYPE_ALIAS, __VA_ARGS__)            \
-  ET_INTERNAL_SWITCH_CASE(exec_aten::ScalarType::Long, CTYPE_ALIAS, __VA_ARGS__)
+      ::executorch::aten::ScalarType::Bool, CTYPE_ALIAS, __VA_ARGS__)   \
+  ET_INTERNAL_SWITCH_CASE(                                              \
+      ::executorch::aten::ScalarType::Long, CTYPE_ALIAS, __VA_ARGS__)
 
 #define ET_INTERNAL_SWITCH_CASE_SCALAR_OBJ_FLOATB_TYPES(CTYPE_ALIAS, ...) \
   ET_INTERNAL_SWITCH_CASE(                                                \
-      exec_aten::ScalarType::Bool, CTYPE_ALIAS, __VA_ARGS__)              \
+      ::executorch::aten::ScalarType::Bool, CTYPE_ALIAS, __VA_ARGS__)     \
   ET_INTERNAL_SWITCH_CASE(                                                \
-      exec_aten::ScalarType::Double, CTYPE_ALIAS, __VA_ARGS__)
+      ::executorch::aten::ScalarType::Double, CTYPE_ALIAS, __VA_ARGS__)
 
 //
 // Switch case macros
@@ -1053,7 +1199,7 @@ inline exec_aten::ScalarType promoteTypes(
 // Arguments:
 //   - ADDITIONAL: Additional ScalarType case to add
 //   - TYPE: The ScalarType to handle through the switch statement
-//   - CONTEXT: The RuntimeContext instance used for error handling, etc.
+//   - CONTEXT: The KernelRuntimeContext instance used for error handling, etc.
 //   - NAME: A name for this operation which will be used in error messages
 //   - CTYPE_ALIAS: A typedef for the ctype associated with the ScalarType.
 //   - [&](){...}: A lambda function to be applied to each ScalarType case
@@ -1110,6 +1256,22 @@ inline exec_aten::ScalarType promoteTypes(
       ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND2(                       \
           ADDITIONAL1, ADDITIONAL2, CTYPE_ALIAS, __VA_ARGS__))
 
+#define ET_SWITCH_REAL_TYPES_AND3(             \
+    ADDITIONAL1,                               \
+    ADDITIONAL2,                               \
+    ADDITIONAL3,                               \
+    TYPE,                                      \
+    CONTEXT,                                   \
+    NAME,                                      \
+    CTYPE_ALIAS,                               \
+    ...)                                       \
+  ET_INTERNAL_SWITCH(                          \
+      TYPE,                                    \
+      CONTEXT,                                 \
+      NAME,                                    \
+      ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND3( \
+          ADDITIONAL1, ADDITIONAL2, ADDITIONAL3, CTYPE_ALIAS, __VA_ARGS__))
+
 #define ET_SWITCH_REALH_TYPES(TYPE, CONTEXT, NAME, CTYPE_ALIAS, ...) \
   ET_SWITCH_REAL_TYPES_AND(Half, TYPE, CONTEXT, NAME, CTYPE_ALIAS, __VA_ARGS__)
 
@@ -1120,6 +1282,10 @@ inline exec_aten::ScalarType promoteTypes(
   ET_SWITCH_REAL_TYPES_AND2(                                          \
       Half, Bool, TYPE, CONTEXT, NAME, CTYPE_ALIAS, __VA_ARGS__)
 
+#define ET_SWITCH_REALHBBF16_TYPES(TYPE, CONTEXT, NAME, CTYPE_ALIAS, ...) \
+  ET_SWITCH_REAL_TYPES_AND3(                                              \
+      Half, Bool, BFloat16, TYPE, CONTEXT, NAME, CTYPE_ALIAS, __VA_ARGS__)
+
 #define ET_SWITCH_INT_TYPES(TYPE, CONTEXT, NAME, CTYPE_ALIAS, ...) \
   ET_INTERNAL_SWITCH(                                              \
       TYPE,                                                        \
@@ -1152,9 +1318,22 @@ inline exec_aten::ScalarType promoteTypes(
       ET_INTERNAL_SWITCH_CASE_FLOAT_TYPES_AND(         \
           ADDITIONAL, CTYPE_ALIAS, __VA_ARGS__))
 
+#define ET_SWITCH_FLOAT_TYPES_AND2(                                  \
+    ADDITIONAL1, ADDITIONAL2, TYPE, CONTEXT, NAME, CTYPE_ALIAS, ...) \
+  ET_INTERNAL_SWITCH(                                                \
+      TYPE,                                                          \
+      CONTEXT,                                                       \
+      NAME,                                                          \
+      ET_INTERNAL_SWITCH_CASE_FLOAT_TYPES_AND2(                      \
+          ADDITIONAL1, ADDITIONAL2, CTYPE_ALIAS, __VA_ARGS__))
+
 #define ET_SWITCH_FLOATH_TYPES(TYPE, CONTEXT, NAME, CTYPE_ALIAS, ...) \
   ET_SWITCH_FLOAT_TYPES_AND(Half, TYPE, CONTEXT, NAME, CTYPE_ALIAS, __VA_ARGS__)
 
+#define ET_SWITCH_FLOATHBF16_TYPES(TYPE, CONTEXT, NAME, CTYPE_ALIAS, ...) \
+  ET_SWITCH_FLOAT_TYPES_AND2(                                             \
+      Half, BFloat16, TYPE, CONTEXT, NAME, CTYPE_ALIAS, __VA_ARGS__)
+
 #define ET_SWITCH_QINT_TYPES(TYPE, CONTEXT, NAME, CTYPE_ALIAS, ...) \
   ET_INTERNAL_SWITCH(                                               \
       TYPE,                                                         \
@@ -1205,9 +1384,81 @@ inline exec_aten::ScalarType promoteTypes(
       CONTEXT,                                                             \
       NAME,                                                                \
       ET_INTERNAL_SWITCH_CASE(                                             \
-          exec_aten::ScalarType::T1, CTYPE_ALIAS, __VA_ARGS__)             \
+          ::executorch::aten::ScalarType::T1, CTYPE_ALIAS, __VA_ARGS__)    \
           ET_INTERNAL_SWITCH_CASE(                                         \
-              exec_aten::ScalarType::T2, CTYPE_ALIAS, __VA_ARGS__))
+              ::executorch::aten::ScalarType::T2, CTYPE_ALIAS, __VA_ARGS__))
+
+#define ET_SWITCH_THREE_TYPES(                                              \
+    T1, T2, T3, TYPE, CONTEXT, NAME, CTYPE_ALIAS, ...)                      \
+  ET_INTERNAL_SWITCH(                                                       \
+      TYPE,                                                                 \
+      CONTEXT,                                                              \
+      NAME,                                                                 \
+      ET_INTERNAL_SWITCH_CASE(                                              \
+          ::executorch::aten::ScalarType::T1, CTYPE_ALIAS, __VA_ARGS__)     \
+          ET_INTERNAL_SWITCH_CASE(                                          \
+              ::executorch::aten::ScalarType::T2, CTYPE_ALIAS, __VA_ARGS__) \
+              ET_INTERNAL_SWITCH_CASE(                                      \
+                  ::executorch::aten::ScalarType::T3,                       \
+                  CTYPE_ALIAS,                                              \
+                  __VA_ARGS__))
+
+} // namespace runtime
+} // namespace executorch
+
+namespace executorch {
+namespace aten {
+#ifdef USE_ATEN_LIB
+using ::at::elementSize;
+#else // USE_ATEN_LIB
+using ::executorch::runtime::elementSize;
+#endif // USE_ATEN_LIB
+} // namespace aten
+} // namespace executorch
 
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::can_cast;
+using ::executorch::runtime::canCast;
+using ::executorch::runtime::convert;
+using ::executorch::runtime::CppTypeToScalarType;
+using ::executorch::runtime::elementSize;
+using ::executorch::runtime::is_bits_type;
+using ::executorch::runtime::is_complex_type;
+using ::executorch::runtime::is_integral_type;
+using ::executorch::runtime::is_qint_type;
+using ::executorch::runtime::isBitsType;
+using ::executorch::runtime::isComplexType;
+using ::executorch::runtime::isFloatingType;
+using ::executorch::runtime::isIntegralType;
+using ::executorch::runtime::isQIntType;
+using ::executorch::runtime::isRealHBType;
+using ::executorch::runtime::isRealHType;
+using ::executorch::runtime::isRealType;
+using ::executorch::runtime::isValid;
+using ::executorch::runtime::promote_types;
+using ::executorch::runtime::promoteTypes;
+using ::executorch::runtime::ScalarTypeToCppType;
+using ::executorch::runtime::toString;
+#if !defined(USE_ATEN_LIB)
+using ::executorch::runtime::is_floating_point;
+using ::executorch::runtime::is_reduced_floating_point;
+#endif
+namespace internal {
+using ::executorch::runtime::internal::B1;
+using ::executorch::runtime::internal::C2;
+using ::executorch::runtime::internal::C4;
+using ::executorch::runtime::internal::C8;
+using ::executorch::runtime::internal::F2;
+using ::executorch::runtime::internal::F4;
+using ::executorch::runtime::internal::F8;
+using ::executorch::runtime::internal::I1;
+using ::executorch::runtime::internal::I2;
+using ::executorch::runtime::internal::I4;
+using ::executorch::runtime::internal::I8;
+using ::executorch::runtime::internal::U1;
+} // namespace internal
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/exec_aten/util/tensor_util.h b/runtime/core/exec_aten/util/tensor_util.h
index 196e7d9107..b303feafd4 100644
--- a/runtime/core/exec_aten/util/tensor_util.h
+++ b/runtime/core/exec_aten/util/tensor_util.h
@@ -235,8 +235,9 @@
  */
 #define ET_CHECK_CONTIGUOUS(a__)                                              \
   ({                                                                          \
-    const ::exec_aten::ArrayRef<int32_t> strides = a__.strides();             \
-    const ::exec_aten::ArrayRef<int32_t> sizes = a__.sizes();                 \
+    const ::exec_aten::ArrayRef<exec_aten::StridesType> strides =             \
+        a__.strides();                                                        \
+    const ::exec_aten::ArrayRef<exec_aten::StridesType> sizes = a__.sizes();  \
     ET_CHECK_MSG(                                                             \
         strides[strides.size() - 1] == 1,                                     \
         "The stride of the last dimension shall be 1 for contiguous tensor, " \
@@ -267,8 +268,10 @@
         "Two tensors shall have same number of strides, but not %zu and %zu.", \
         a__.dim(),                                                             \
         b__.dim());                                                            \
-    const ::exec_aten::ArrayRef<int32_t> a_strides = a__.strides();            \
-    const ::exec_aten::ArrayRef<int32_t> b_strides = b__.strides();            \
+    const ::exec_aten::ArrayRef<exec_aten::StridesType> a_strides =            \
+        a__.strides();                                                         \
+    const ::exec_aten::ArrayRef<exec_aten::StridesType> b_strides =            \
+        b__.strides();                                                         \
     for (size_t i = 0; i < a__.dim(); i++) {                                   \
       ET_CHECK_MSG(                                                            \
           a_strides[i] == b_strides[i],                                        \
@@ -276,8 +279,8 @@
           "but now is %d and %d.",                                             \
           i,                                                                   \
           i,                                                                   \
-          a_strides[i],                                                        \
-          b_strides[i]);                                                       \
+          (int32_t)a_strides[i],                                               \
+          (int32_t)b_strides[i]);                                              \
     }                                                                          \
   })
 
@@ -295,9 +298,12 @@
         a__.dim(),                                                      \
         b__.dim(),                                                      \
         c__.dim());                                                     \
-    const ::exec_aten::ArrayRef<int32_t> a_strides = a__.strides();     \
-    const ::exec_aten::ArrayRef<int32_t> b_strides = b__.strides();     \
-    const ::exec_aten::ArrayRef<int32_t> c_strides = c__.strides();     \
+    const ::exec_aten::ArrayRef<exec_aten::StridesType> a_strides =     \
+        a__.strides();                                                  \
+    const ::exec_aten::ArrayRef<exec_aten::StridesType> b_strides =     \
+        b__.strides();                                                  \
+    const ::exec_aten::ArrayRef<exec_aten::StridesType> c_strides =     \
+        c__.strides();                                                  \
     for (size_t i = 0; i < a__.dim(); i++) {                            \
       ET_CHECK_MSG(                                                     \
           a_strides[i] == b_strides[i] && b_strides[i] == c_strides[i], \
@@ -306,9 +312,9 @@
           i,                                                            \
           i,                                                            \
           i,                                                            \
-          a_strides[i],                                                 \
-          b_strides[i],                                                 \
-          c_strides[i]);                                                \
+          (int32_t)a_strides[i],                                        \
+          (int32_t)b_strides[i],                                        \
+          (int32_t)c_strides[i]);                                       \
     }                                                                   \
   })
 
@@ -397,12 +403,8 @@
       extract_scalar_tensor(scalar_tensor, &out_val),    \
       #scalar_tensor " could not be extracted: wrong type or out of range");
 
-namespace torch {
-namespace executor {
-
-using Tensor = exec_aten::Tensor;
-using Scalar = exec_aten::Scalar;
-using ScalarType = exec_aten::ScalarType;
+namespace executorch {
+namespace runtime {
 
 //
 // Utility functions for checking tensor attributes
@@ -432,7 +434,7 @@ inline bool dim_is_valid(int64_t dim, int64_t upper_bound) {
  * the zero dimensional tensors in some kernels, that treat them as 1D tensors
  * with a single element.
  */
-inline ssize_t nonzero_dim(const Tensor& tensor) {
+inline ssize_t nonzero_dim(const exec_aten::Tensor& tensor) {
   return tensor.dim() == 0 ? 1 : tensor.dim();
 }
 
@@ -442,7 +444,7 @@ inline ssize_t nonzero_dim(const Tensor& tensor) {
  * the zero dimensional tensors in some kernels, that treat them as 1D tensors
  * with a single element.
  */
-inline ssize_t nonempty_size(const Tensor& tensor, ssize_t dim) {
+inline ssize_t nonempty_size(const exec_aten::Tensor& tensor, ssize_t dim) {
   return tensor.dim() == 0 ? 1 : tensor.size(dim);
 }
 
@@ -514,6 +516,15 @@ inline bool tensor_is_realhb_type(exec_aten::Tensor t) {
   return true;
 }
 
+inline bool tensor_is_realhbbf16_type(exec_aten::Tensor t) {
+  ET_LOG_MSG_AND_RETURN_IF_FALSE(
+      executorch::runtime::isRealHBBF16Type(t.scalar_type()),
+      "Expected to find a real type, but tensor has type %s",
+      torch::executor::toString(t.scalar_type()));
+
+  return true;
+}
+
 inline bool tensor_is_complex_type(exec_aten::Tensor t) {
   ET_LOG_MSG_AND_RETURN_IF_FALSE(
       torch::executor::isComplexType(t.scalar_type()),
@@ -852,16 +863,16 @@ inline bool tensor_is_scalar(exec_aten::Tensor t) {
 
 /**
  * The expected output size may not be the existing size of any inputs and
- * outputs if the operator supports both broadcast and dynamic shape. Therefore
- * such operators needs extra space to store the calculated expected output
- * size. such dynamic allocation is troublesome in executorch so we can just
- * hard code a static value of a relatively small value because users don't
- * create high dimensional tensors.
+ * outputs if the operator supports both broadcast and dynamic shape.
+ * Therefore such operators needs extra space to store the calculated expected
+ * output size. such dynamic allocation is troublesome in executorch so we can
+ * just hard code a static value of a relatively small value because users
+ * don't create high dimensional tensors.
  */
 constexpr size_t kTensorDimensionLimit = 16;
 
 /// Returns the product of dim[0:dim), not including dim.
-inline size_t getLeadingDims(const Tensor& tensor, int64_t dim) {
+inline size_t getLeadingDims(const exec_aten::Tensor& tensor, int64_t dim) {
   ET_CHECK_MSG(
       dim >= 0 && dim <= tensor.dim(),
       "Ending dimension %" PRId64
@@ -876,7 +887,7 @@ inline size_t getLeadingDims(const Tensor& tensor, int64_t dim) {
 }
 
 /// Returns the product of dim[dim+1:].
-inline size_t getTrailingDims(const Tensor& tensor, int64_t dim) {
+inline size_t getTrailingDims(const exec_aten::Tensor& tensor, int64_t dim) {
   ET_CHECK_MSG(
       dim >= -1 && dim < tensor.dim(),
       "Starting dimension %" PRId64
@@ -897,11 +908,11 @@ inline size_t getTrailingDims(const Tensor& tensor, int64_t dim) {
  * @param[in] tensor The tensor that will be indexed
  * @param[in] coordinate A n-dimensional array representing the coordinate to
  * index. It is assumed that the array has kTensorDimensionLimit elements.
- * @param[out] index The linear index to element at the specified coordinate in
- * the tensor.
+ * @param[out] index The linear index to element at the specified coordinate
+ * in the tensor.
  */
 inline size_t coordinateToIndex(
-    const Tensor& tensor,
+    const exec_aten::Tensor& tensor,
     const size_t* const coordinate) {
   size_t index = 0;
   for (int d = 0; d < tensor.dim(); ++d) {
@@ -910,6 +921,38 @@ inline size_t coordinateToIndex(
   return index;
 }
 
+/**
+ * Produce a memoized array for use with repeated calls to
+ * coordinateToIndexWithTrailingDimsMemo, which will be faster than
+ * repeated calls to coordinateToIndex.
+ */
+inline void memoizeTrailingDims(
+    const exec_aten::Tensor& tensor,
+    size_t trailing_dims_memo[kTensorDimensionLimit]) {
+  const auto tensorDim = tensor.dim();
+  size_t dims = 1;
+  for (int ii = tensorDim - 1; ii >= 0; --ii) {
+    trailing_dims_memo[ii] = dims;
+    dims *= static_cast<size_t>(tensor.size(ii));
+  }
+}
+
+/**
+ * Like coordinateToIndex, but faster for repeated calls with the same
+ * tensor. trailing_dims_memo must be produced by a call to
+ * memoizeTrailingDims.
+ */
+inline size_t coordinateToIndexWithTrailingDimsMemo(
+    const exec_aten::Tensor& tensor,
+    const size_t* const coordinate,
+    const size_t trailing_dims_memo[kTensorDimensionLimit]) {
+  size_t index = 0;
+  for (int d = 0; d < tensor.dim(); ++d) {
+    index += coordinate[d] * trailing_dims_memo[d];
+  }
+  return index;
+}
+
 /**
  * Given the linear index return the N-dimensional tensor coordinate. This is
  * the inverse operation of coordinateToIndex.
@@ -921,8 +964,10 @@ inline size_t coordinateToIndex(
  * index. It is assumed that the array has kTensorDimensionLimit elements.
  * @returns void
  */
-inline void
-indexToCoordinate(const Tensor& tensor, size_t index, size_t* coordinate) {
+inline void indexToCoordinate(
+    const exec_aten::Tensor& tensor,
+    size_t index,
+    size_t* coordinate) {
   ET_CHECK(index < tensor.numel());
   for (auto i = 0; i < tensor.dim(); ++i) {
     auto dim = tensor.dim() - 1 - i;
@@ -937,22 +982,22 @@ indexToCoordinate(const Tensor& tensor, size_t index, size_t* coordinate) {
  *
  * @param[in] tensor The source of the value to extract.
  * @param[out] out_val The extracted value, on success.
- * @returns `true` if a value was extracted, and sets `*out_val` to that value.
- *    `false` if a value could not be extracted: either it was not an integer
- *    Scalar Tensor, or the value of that Scalar Tensor could not be represented
- *    by INT_T.
+ * @returns `true` if a value was extracted, and sets `*out_val` to that
+ * value. `false` if a value could not be extracted: either it was not an
+ * integer Scalar Tensor, or the value of that Scalar Tensor could not be
+ * represented by INT_T.
  */
 template <
     typename INT_T,
     typename std::enable_if<
         std::is_integral<INT_T>::value && !std::is_same<INT_T, bool>::value,
         bool>::type = true>
-bool extract_scalar_tensor(Tensor tensor, INT_T* out_val) {
+bool extract_scalar_tensor(exec_aten::Tensor tensor, INT_T* out_val) {
   if (tensor.numel() != 1) {
     return false;
   }
 #define CASE_INT_DTYPE(TENSOR_CTYPE, TENSOR_DTYPE)                     \
-  case ScalarType::TENSOR_DTYPE: {                                     \
+  case exec_aten::ScalarType::TENSOR_DTYPE: {                          \
     const TENSOR_CTYPE val = tensor.const_data_ptr<TENSOR_CTYPE>()[0]; \
     if (val < std::numeric_limits<INT_T>::lowest() ||                  \
         val > std::numeric_limits<INT_T>::max()) {                     \
@@ -975,21 +1020,21 @@ bool extract_scalar_tensor(Tensor tensor, INT_T* out_val) {
  *
  * @param[in] tensor The source of the value to extract.
  * @param[out] out_val The extracted value, on success.
- * @returns `true` if a value was extracted, and sets `*out_val` to that value.
- *    `false` if a value could not be extracted: either it was not a floating
- *    point Scalar Tensor, or the value of that Scalar Tensor could not be
- *    represented by FLOAT_T.
+ * @returns `true` if a value was extracted, and sets `*out_val` to that
+ * value. `false` if a value could not be extracted: either it was not a
+ * floating point Scalar Tensor, or the value of that Scalar Tensor could not
+ * be represented by FLOAT_T.
  */
 template <
     typename FLOAT_T,
     typename std::enable_if<std::is_floating_point<FLOAT_T>::value, bool>::
         type = true>
-bool extract_scalar_tensor(Tensor tensor, FLOAT_T* out_val) {
+bool extract_scalar_tensor(exec_aten::Tensor tensor, FLOAT_T* out_val) {
   if (tensor.numel() != 1) {
     return false;
   }
 #define CASE_REAL_DTYPE(TENSOR_CTYPE, TENSOR_DTYPE)                    \
-  case ScalarType::TENSOR_DTYPE: {                                     \
+  case exec_aten::ScalarType::TENSOR_DTYPE: {                          \
     /* ET_FORALL_REAL_TYPES guarantees TENSOR_CTYPE is a real type. */ \
     double val =                                                       \
         static_cast<double>(tensor.const_data_ptr<TENSOR_CTYPE>()[0]); \
@@ -1022,7 +1067,7 @@ template <
     typename BOOL_T,
     typename std::enable_if<std::is_same<BOOL_T, bool>::value, bool>::type =
         true>
-bool extract_scalar_tensor(Tensor tensor, BOOL_T* out_val) {
+bool extract_scalar_tensor(exec_aten::Tensor tensor, BOOL_T* out_val) {
   if (tensor.scalar_type() != exec_aten::ScalarType::Bool) {
     return false;
   }
@@ -1042,21 +1087,21 @@ namespace internal {
 /**
  * Share t_src's data_ptr with t_dst.
  */
-__ET_NODISCARD Error share_tensor_data(
+ET_NODISCARD Error share_tensor_data(
     const exec_aten::Tensor& t_dst,
     const exec_aten::Tensor& t_src);
 
 /**
  * Copy t_src's data_ptr to t_dst.
  */
-__ET_NODISCARD Error copy_tensor_data(
+ET_NODISCARD Error copy_tensor_data(
     const exec_aten::Tensor& t_dst,
     const exec_aten::Tensor& t_src);
 
 /**
  * Set the data_ptr of t to buffer.
  */
-__ET_NODISCARD Error
+ET_NODISCARD Error
 set_tensor_data(const exec_aten::Tensor& t, void* buffer, size_t buffer_size);
 
 /**
@@ -1067,7 +1112,7 @@ void reset_data_ptr(const exec_aten::Tensor& tensor);
 /**
  * Resize tensor impl
  */
-__ET_NODISCARD Error resize_tensor_impl(
+ET_NODISCARD Error resize_tensor_impl(
     exec_aten::TensorImpl* impl,
     exec_aten::ArrayRef<exec_aten::SizesType> new_sizes);
 
@@ -1078,11 +1123,11 @@ __ET_NODISCARD Error resize_tensor_impl(
  * expand the tensor if new size exceeds the current capacity. Currently
  * fails an ET_CHECK if the tensor cannot be resized.
  *
- * WARNING: Placeholder API until discussion around runtime context is settled,
- * will likely move to be a class method on a TensorResizer object passed in
- * through runtimeContext.
+ * WARNING: Placeholder API until discussion around runtime context is
+ * settled, will likely move to be a class method on a TensorResizer object
+ * passed in through runtimeContext.
  */
-__ET_NODISCARD inline Error resize_tensor(
+ET_NODISCARD inline Error resize_tensor(
     exec_aten::Tensor t,
     exec_aten::ArrayRef<exec_aten::SizesType> new_sizes) {
   return internal::resize_tensor_impl(t.unsafeGetTensorImpl(), new_sizes);
@@ -1093,15 +1138,15 @@ __ET_NODISCARD inline Error resize_tensor(
  * expand the tensor if new size exceeds the current capacity. Currently
  * fails an ET_CHECK if the tensor cannot be resized.
  *
- * WARNING: Placeholder API until discussion around runtime context is settled,
- * will likely move to be a class method on a TensorResizer object passed in
- * through runtimeContext.
+ * WARNING: Placeholder API until discussion around runtime context is
+ * settled, will likely move to be a class method on a TensorResizer object
+ * passed in through runtimeContext.
  */
 template <
     typename T,
     typename std::
         enable_if<!std::is_same<exec_aten::SizesType, T>::value, int>::type = 0>
-__ET_NODISCARD inline Error resize_tensor(
+ET_NODISCARD inline Error resize_tensor(
     exec_aten::Tensor t,
     exec_aten::ArrayRef<T> new_sizes) {
   // Need to cast the input array to an array of Tensor::SizesType
@@ -1116,7 +1161,7 @@ __ET_NODISCARD inline Error resize_tensor(
 }
 
 /// DEPRECATED: Use `resize_tensor()` instead, which can fail non-fatally.
-__ET_DEPRECATED inline void resize(
+ET_DEPRECATED inline void resize(
     exec_aten::Tensor t,
     exec_aten::ArrayRef<exec_aten::SizesType> new_sizes) {
   Error err = resize_tensor(t, new_sizes);
@@ -1126,28 +1171,104 @@ __ET_DEPRECATED inline void resize(
 /**
  * Get dim_order of a Tensor and write it to out_dim_order.
  * @param tensor The tensor where we want to get dim order from.
- * @param out_dim_order Pointing to an array of DimOrderType where we write dim
- * order into it.
+ * @param out_dim_order Pointing to an array of DimOrderType where we write
+ * dim order into it.
  * @param out_dim_order_size Size of the DimOrderType array.
  */
-__ET_NODISCARD Error get_dim_order(
+ET_NODISCARD Error get_dim_order(
     const exec_aten::Tensor& tensor,
     exec_aten::DimOrderType* out_dim_order,
     size_t out_dim_order_size);
 
 /**
- * Checks whether a tensor has a valid dim order. If the dim order could not be
- * determined, then this function returns false by default.
+ * Checks whether a tensor has a valid dim order. If the dim order could not
+ * be determined, then this function returns false by default.
  */
 bool tensor_has_valid_dim_order(exec_aten::Tensor t);
 
 /**
- * Checks whether a tensor has either the default of channels last dim order. If
- * the dim order could not be determined, then this function returns false by
- * default.
+ * Checks whether a tensor has either the default of channels last dim order.
+ * If the dim order could not be determined, then this function returns false
+ * by default.
  */
 bool tensor_is_default_or_channels_last_dim_order(exec_aten::Tensor t);
 
+/**
+ * Checks whether a tensor has the default dimension order.
+ * Logs an error message if the tensor does not meet the expected criteria.
+ *
+ * @param t The tensor to check the dimension order of.
+ * @return True if the tensor has the default dimension order, false otherwise.
+ */
+bool tensor_is_default_dim_order(exec_aten::Tensor t);
+
+/**
+ * Checks whether a tensor has the channels last dimension order.
+ * Logs an error message if the tensor does not meet the expected criteria.
+ *
+ * @param t The tensor to check the dimension order of.
+ * @return True if the tensor has the channels last dimension order, false
+ * otherwise.
+ */
+bool tensor_is_channels_last_dim_order(exec_aten::Tensor t);
+
+/**
+ * Asserts that four tensors have the same dim_order
+ *
+ * Note that this macro only tests dim order, but not others like actual data,
+ * sizes, etc.
+ *
+ */
+bool tensors_have_same_dim_order(
+    const exec_aten::ArrayRef<exec_aten::Tensor> tensor_list);
+
+/**
+ * Asserts that two tensors have the same dim_order
+ *
+ * Note that this macro only tests dim order, but not others like actual data,
+ * sizes, etc.
+ */
+
+inline bool tensors_have_same_dim_order(
+    const exec_aten::Tensor& a,
+    const exec_aten::Tensor& b) {
+  exec_aten::Tensor tensor_list[2] = {a, b};
+  return tensors_have_same_dim_order(tensor_list);
+}
+
+/**
+ * Asserts that three tensors have the same dim_order
+ *
+ * Note that this macro only tests dim order, but not others like actual data,
+ * sizes, etc.
+ *
+ */
+
+inline bool tensors_have_same_dim_order(
+    const exec_aten::Tensor& a,
+    const exec_aten::Tensor& b,
+    const exec_aten::Tensor& c) {
+  exec_aten::Tensor tensor_list[3] = {a, b, c};
+  return tensors_have_same_dim_order(tensor_list);
+}
+
+/**
+ * Asserts that four tensors have the same dim_order
+ *
+ * Note that this macro only tests dim order, but not others like actual data,
+ * sizes, etc.
+ *
+ */
+
+inline bool tensors_have_same_dim_order(
+    const exec_aten::Tensor& a,
+    const exec_aten::Tensor& b,
+    const exec_aten::Tensor& c,
+    const exec_aten::Tensor& d) {
+  exec_aten::Tensor tensor_list[4] = {a, b, c, d};
+  return tensors_have_same_dim_order(tensor_list);
+}
+
 /**
  * Given an n-dimensional coordinate array and an array of tensor strides,
  * calculates the linear index that can be used to retrieve the value at the
@@ -1167,5 +1288,60 @@ inline size_t calculate_linear_index(
   return index;
 }
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::calculate_linear_index;
+using ::executorch::runtime::coordinateToIndex;
+using ::executorch::runtime::dim_is_valid;
+using ::executorch::runtime::extract_scalar_tensor;
+using ::executorch::runtime::get_dim_order;
+using ::executorch::runtime::getLeadingDims;
+using ::executorch::runtime::getTrailingDims;
+using ::executorch::runtime::indexToCoordinate;
+using ::executorch::runtime::kTensorDimensionLimit;
+using ::executorch::runtime::nonempty_size;
+using ::executorch::runtime::nonzero_dim;
+using ::executorch::runtime::resize;
+using ::executorch::runtime::resize_tensor;
+using ::executorch::runtime::tensor_can_cast_to;
+using ::executorch::runtime::tensor_dim_has_index;
+using ::executorch::runtime::tensor_has_dim;
+using ::executorch::runtime::tensor_has_expected_size;
+using ::executorch::runtime::tensor_has_non_empty_dim;
+using ::executorch::runtime::tensor_has_rank_greater_or_equal_to;
+using ::executorch::runtime::tensor_has_rank_smaller_or_equal_to;
+using ::executorch::runtime::tensor_has_valid_dim_order;
+using ::executorch::runtime::tensor_is_bits_type;
+using ::executorch::runtime::tensor_is_bool_type;
+using ::executorch::runtime::tensor_is_complex_type;
+using ::executorch::runtime::tensor_is_contiguous;
+using ::executorch::runtime::tensor_is_default_dim_order;
+using ::executorch::runtime::tensor_is_default_or_channels_last_dim_order;
+using ::executorch::runtime::tensor_is_floating_type;
+using ::executorch::runtime::tensor_is_integral_type;
+using ::executorch::runtime::tensor_is_rank;
+using ::executorch::runtime::tensor_is_real_type;
+using ::executorch::runtime::tensor_is_realh_type;
+using ::executorch::runtime::tensor_is_realhb_type;
+using ::executorch::runtime::tensor_is_scalar;
+using ::executorch::runtime::tensors_have_same_dim_order;
+using ::executorch::runtime::tensors_have_same_dtype;
+using ::executorch::runtime::tensors_have_same_rank;
+using ::executorch::runtime::tensors_have_same_shape;
+using ::executorch::runtime::tensors_have_same_shape_and_dtype;
+using ::executorch::runtime::tensors_have_same_size_at_dims;
+using ::executorch::runtime::tensors_have_same_strides;
+namespace internal {
+using ::executorch::runtime::internal::copy_tensor_data;
+using ::executorch::runtime::internal::reset_data_ptr;
+using ::executorch::runtime::internal::resize_tensor_impl;
+using ::executorch::runtime::internal::set_tensor_data;
+using ::executorch::runtime::internal::share_tensor_data;
+} // namespace internal
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/exec_aten/util/tensor_util_aten.cpp b/runtime/core/exec_aten/util/tensor_util_aten.cpp
index d3d5417f96..84af8fcee4 100644
--- a/runtime/core/exec_aten/util/tensor_util_aten.cpp
+++ b/runtime/core/exec_aten/util/tensor_util_aten.cpp
@@ -11,8 +11,8 @@
 #include <ATen/Tensor.h> // @manual
 #include <executorch/runtime/platform/assert.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 /**
  * Implementation for ATen tensor util, should only be included in
  * `<target>_aten` target and only be used in ATen mode. Explicitly taking
@@ -77,6 +77,46 @@ inline bool tensor_is_default_or_channels_last_dim_order(at::Tensor t) {
   return ret_val;
 }
 
+bool tensors_have_same_dim_order(
+    const exec_aten::ArrayRef<exec_aten::Tensor> tensor_list) {
+  if (tensor_list.size() < 2) {
+    return true;
+  }
+
+  exec_aten::DimOrderType first_dim_order[kTensorDimensionLimit];
+  exec_aten::DimOrderType other_dim_order[kTensorDimensionLimit];
+
+  ET_LOG_MSG_AND_RETURN_IF_FALSE(
+      get_dim_order(tensor_list[0], first_dim_order, tensor_list[0].dim()) ==
+          Error::Ok,
+      "Failed to retrieve dim order from 1st input tensor!");
+
+  bool all_contiguous =
+      is_contiguous_dim_order(first_dim_order, tensor_list[0].dim());
+  bool all_channels_last =
+      is_channels_last_dim_order(first_dim_order, tensor_list[0].dim());
+
+  for (size_t i = 1; i < tensor_list.size(); ++i) {
+    ET_LOG_MSG_AND_RETURN_IF_FALSE(
+        get_dim_order(tensor_list[i], other_dim_order, tensor_list[i].dim()) ==
+            Error::Ok,
+        "Failed to retrieve dim order from %zd-th input tensor!",
+        i);
+
+    all_contiguous = all_contiguous &&
+        is_contiguous_dim_order(other_dim_order, tensor_list[i].dim());
+    all_channels_last = all_channels_last &&
+        is_channels_last_dim_order(other_dim_order, tensor_list[i].dim());
+  }
+
+  ET_LOG_MSG_AND_RETURN_IF_FALSE(
+      all_contiguous || all_channels_last,
+      "%zd input tensors have different dim orders",
+      tensor_list.size());
+
+  return all_contiguous || all_channels_last;
+}
+
 namespace internal {
 
 Error share_tensor_data(const at::Tensor& t_dst, const at::Tensor& t_src) {
@@ -95,7 +135,8 @@ Error share_tensor_data(const at::Tensor& t_dst, const at::Tensor& t_src) {
       InvalidArgument,
       "Source tensor should have data_ptr not being nullptr.");
   // Assign the dataptr as the input tensor dataptr
-  storage->set_data_ptr(at::DataPtr(t_src.mutable_data_ptr(), DeviceType::CPU));
+  storage->set_data_ptr(
+      at::DataPtr(t_src.mutable_data_ptr(), at::DeviceType::CPU));
   storage->set_nbytes(t_src.nbytes());
 
   return Error::Ok;
@@ -133,7 +174,7 @@ Error copy_tensor_data(const at::Tensor& t_dst, const at::Tensor& t_src) {
   return Error::Ok;
 }
 
-__ET_NODISCARD Error
+ET_NODISCARD Error
 set_tensor_data(const at::Tensor& t, void* buffer, size_t buffer_size) {
   ET_CHECK_OR_RETURN_ERROR(
       buffer_size >= t.nbytes(),
@@ -142,7 +183,7 @@ set_tensor_data(const at::Tensor& t, void* buffer, size_t buffer_size) {
       buffer_size,
       t.nbytes());
   t.unsafeGetTensorImpl()->unsafe_storage().set_data_ptr(
-      at::DataPtr(buffer, DeviceType::CPU));
+      at::DataPtr(buffer, at::DeviceType::CPU));
   return Error::Ok;
 }
 
@@ -174,5 +215,5 @@ Error resize_tensor_impl(
 
 } // namespace internal
 
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
diff --git a/runtime/core/exec_aten/util/tensor_util_portable.cpp b/runtime/core/exec_aten/util/tensor_util_portable.cpp
index ad7c93f0a3..b7ed92f3c9 100644
--- a/runtime/core/exec_aten/util/tensor_util_portable.cpp
+++ b/runtime/core/exec_aten/util/tensor_util_portable.cpp
@@ -13,8 +13,8 @@
 #include <executorch/runtime/core/portable_type/tensor.h>
 #include <executorch/runtime/platform/assert.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 /**
  * Implementation for ExecuTorch tensor util, should only be included in
  * an target with ATen mode turned off. Explicitly taking
@@ -73,6 +73,66 @@ bool tensor_is_default_or_channels_last_dim_order(torch::executor::Tensor t) {
   return ret_val;
 }
 
+bool tensor_is_default_dim_order(torch::executor::Tensor t) {
+  bool ret_val =
+      is_contiguous_dim_order(t.dim_order().data(), t.dim_order().size());
+
+  if (!ret_val) {
+    ET_LOG(Error, "Expected tensor to have default dim order, but got");
+    for (size_t d = 0; d < t.dim(); ++d) {
+      ET_LOG(
+          Error,
+          "    dim_order(%zu): %zu",
+          static_cast<size_t>(d),
+          static_cast<size_t>(t.dim_order()[d]));
+    }
+  }
+  return ret_val;
+}
+
+bool tensor_is_channels_last_dim_order(torch::executor::Tensor t) {
+  bool ret_val =
+      is_channels_last_dim_order(t.dim_order().data(), t.dim_order().size());
+
+  if (!ret_val) {
+    ET_LOG(Error, "Expected tensor to have channels last dim order, but got");
+    for (size_t d = 0; d < t.dim(); ++d) {
+      ET_LOG(
+          Error,
+          "    dim_order(%zu): %zu",
+          static_cast<size_t>(d),
+          static_cast<size_t>(t.dim_order()[d]));
+    }
+  }
+  return ret_val;
+}
+
+bool tensors_have_same_dim_order(
+    const exec_aten::ArrayRef<exec_aten::Tensor> tensor_list) {
+  if (tensor_list.size() < 2) {
+    return true;
+  }
+  bool all_contiguous = true;
+  bool all_channels_last = true;
+  for (size_t i = 0; i < tensor_list.size(); ++i) {
+    all_contiguous = all_contiguous &&
+        is_contiguous_dim_order(
+                         tensor_list[i].dim_order().data(),
+                         tensor_list[i].dim_order().size());
+    all_channels_last = all_channels_last &&
+        is_channels_last_dim_order(
+                            tensor_list[i].dim_order().data(),
+                            tensor_list[i].dim_order().size());
+  }
+
+  ET_LOG_MSG_AND_RETURN_IF_FALSE(
+      all_contiguous || all_channels_last,
+      "%zd input tensors have different dim orders",
+      tensor_list.size());
+
+  return true;
+}
+
 namespace internal {
 
 Error share_tensor_data(
@@ -116,7 +176,7 @@ Error copy_tensor_data(
   return Error::Ok;
 }
 
-__ET_NODISCARD Error set_tensor_data(
+ET_NODISCARD Error set_tensor_data(
     const torch::executor::Tensor& t,
     void* buffer,
     size_t buffer_size) {
@@ -137,7 +197,7 @@ void reset_data_ptr(const torch::executor::Tensor& tensor) {
 
 class TensorResizerFriend final {
  public:
-  __ET_NODISCARD static Error resize_tensor_impl(
+  ET_NODISCARD static Error resize_tensor_impl(
       exec_aten::TensorImpl* impl,
       exec_aten::ArrayRef<exec_aten::SizesType> new_sizes) {
     return impl->internal_resize_contiguous(new_sizes);
@@ -151,5 +211,5 @@ Error resize_tensor_impl(
 }
 } // namespace internal
 
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
diff --git a/runtime/core/exec_aten/util/test/dim_order_util_test.cpp b/runtime/core/exec_aten/util/test/dim_order_util_test.cpp
index 1d8dfc555c..6ce611c926 100644
--- a/runtime/core/exec_aten/util/test/dim_order_util_test.cpp
+++ b/runtime/core/exec_aten/util/test/dim_order_util_test.cpp
@@ -6,13 +6,20 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#include <executorch/runtime/core/exec_aten/util/dim_order_util.h>
+
 #include <numeric>
 
 #include <executorch/runtime/core/exec_aten/exec_aten.h>
-#include <executorch/runtime/core/exec_aten/util/dim_order_util.h>
 
 #include <gtest/gtest.h>
 
+using executorch::runtime::dim_order_to_stride;
+using executorch::runtime::Error;
+using executorch::runtime::is_channels_last_dim_order;
+using executorch::runtime::is_contiguous_dim_order;
+using executorch::runtime::stride_to_dim_order;
+
 namespace {
 void check_strides_eq(
     exec_aten::ArrayRef<exec_aten::StridesType> strides_a,
@@ -36,36 +43,32 @@ TEST(DimOrderUtilTest, DimOrderToStride) {
   exec_aten::SizesType dim_order_1[1] = {0};
   exec_aten::SizesType strides_1[1] = {0};
   exec_aten::SizesType expected_strides_1[1] = {1};
-  auto error =
-      torch::executor::dim_order_to_stride(sizes_1, dim_order_1, 1, strides_1);
-  EXPECT_EQ(error, torch::executor::Error::Ok);
+  auto error = dim_order_to_stride(sizes_1, dim_order_1, 1, strides_1);
+  EXPECT_EQ(error, Error::Ok);
   check_strides_eq({strides_1, 1}, {expected_strides_1, 1});
 
   exec_aten::SizesType sizes_2[2] = {2, 5};
   exec_aten::SizesType dim_order_2[2] = {0, 1};
   exec_aten::SizesType strides_2[2] = {0, 0};
   exec_aten::SizesType expected_strides_2[2] = {5, 1};
-  error =
-      torch::executor::dim_order_to_stride(sizes_2, dim_order_2, 2, strides_2);
-  EXPECT_EQ(error, torch::executor::Error::Ok);
+  error = dim_order_to_stride(sizes_2, dim_order_2, 2, strides_2);
+  EXPECT_EQ(error, Error::Ok);
   check_strides_eq({strides_2, 2}, {expected_strides_2, 2});
 
   dim_order_2[0] = 1;
   dim_order_2[1] = 0;
   expected_strides_2[0] = 1;
   expected_strides_2[1] = 2;
-  error =
-      torch::executor::dim_order_to_stride(sizes_2, dim_order_2, 2, strides_2);
-  EXPECT_EQ(error, torch::executor::Error::Ok);
+  error = dim_order_to_stride(sizes_2, dim_order_2, 2, strides_2);
+  EXPECT_EQ(error, Error::Ok);
   check_strides_eq({strides_2, 2}, {expected_strides_2, 2});
 
   exec_aten::SizesType sizes_3[3] = {2, 5, 7};
   exec_aten::SizesType dim_order_3[3] = {0, 1, 2};
   exec_aten::SizesType strides_3[3] = {0, 0, 0};
   exec_aten::SizesType expected_strides_3[3] = {35, 7, 1};
-  error =
-      torch::executor::dim_order_to_stride(sizes_3, dim_order_3, 3, strides_3);
-  EXPECT_EQ(error, torch::executor::Error::Ok);
+  error = dim_order_to_stride(sizes_3, dim_order_3, 3, strides_3);
+  EXPECT_EQ(error, Error::Ok);
   check_strides_eq({strides_3, 3}, {expected_strides_3, 3});
 
   // {0, 2, 1}
@@ -73,9 +76,8 @@ TEST(DimOrderUtilTest, DimOrderToStride) {
   // Expected stride {35, 1, 5}
   expected_strides_3[0] = 35, expected_strides_3[1] = 1,
   expected_strides_3[2] = 5;
-  error =
-      torch::executor::dim_order_to_stride(sizes_3, dim_order_3, 3, strides_3);
-  EXPECT_EQ(error, torch::executor::Error::Ok);
+  error = dim_order_to_stride(sizes_3, dim_order_3, 3, strides_3);
+  EXPECT_EQ(error, Error::Ok);
   check_strides_eq({strides_3, 3}, {expected_strides_3, 3});
 
   // {2, 5, 7}
@@ -84,18 +86,16 @@ TEST(DimOrderUtilTest, DimOrderToStride) {
   // Expected stride {35, 1, 5}
   expected_strides_3[0] = 1, expected_strides_3[1] = 14,
   expected_strides_3[2] = 2;
-  error =
-      torch::executor::dim_order_to_stride(sizes_3, dim_order_3, 3, strides_3);
-  EXPECT_EQ(error, torch::executor::Error::Ok);
+  error = dim_order_to_stride(sizes_3, dim_order_3, 3, strides_3);
+  EXPECT_EQ(error, Error::Ok);
   check_strides_eq({strides_3, 3}, {expected_strides_3, 3});
 
   exec_aten::SizesType sizes_4[4] = {2, 5, 7, 8};
   exec_aten::SizesType dim_order_4[4] = {0, 1, 2, 3};
   exec_aten::SizesType strides_4[4] = {0, 0, 0, 0};
   exec_aten::SizesType expected_strides_4[4] = {280, 56, 8, 1};
-  error =
-      torch::executor::dim_order_to_stride(sizes_4, dim_order_4, 4, strides_4);
-  EXPECT_EQ(error, torch::executor::Error::Ok);
+  error = dim_order_to_stride(sizes_4, dim_order_4, 4, strides_4);
+  EXPECT_EQ(error, Error::Ok);
   check_strides_eq({strides_4, 4}, {expected_strides_4, 4});
 
   // {2, 5, 7, 8}
@@ -109,9 +109,8 @@ TEST(DimOrderUtilTest, DimOrderToStride) {
   expected_strides_4[1] = 1;
   expected_strides_4[2] = 40;
   expected_strides_4[3] = 5;
-  error =
-      torch::executor::dim_order_to_stride(sizes_4, dim_order_4, 4, strides_4);
-  EXPECT_EQ(error, torch::executor::Error::Ok);
+  error = dim_order_to_stride(sizes_4, dim_order_4, 4, strides_4);
+  EXPECT_EQ(error, Error::Ok);
   check_strides_eq({strides_4, 4}, {expected_strides_4, 4});
 
   // {2, 5, 7, 8}
@@ -125,18 +124,16 @@ TEST(DimOrderUtilTest, DimOrderToStride) {
   expected_strides_4[1] = 14;
   expected_strides_4[2] = 2;
   expected_strides_4[3] = 70;
-  error =
-      torch::executor::dim_order_to_stride(sizes_4, dim_order_4, 4, strides_4);
-  EXPECT_EQ(error, torch::executor::Error::Ok);
+  error = dim_order_to_stride(sizes_4, dim_order_4, 4, strides_4);
+  EXPECT_EQ(error, Error::Ok);
   check_strides_eq({strides_4, 4}, {expected_strides_4, 4});
 
   exec_aten::SizesType sizes_5[5] = {2, 5, 7, 8, 9};
   exec_aten::SizesType dim_order_5[5] = {0, 1, 2, 3, 4};
   exec_aten::SizesType strides_5[5] = {0, 0, 0, 0, 0};
   exec_aten::SizesType expected_strides_5[5] = {2520, 504, 72, 9, 1};
-  error =
-      torch::executor::dim_order_to_stride(sizes_5, dim_order_5, 5, strides_5);
-  EXPECT_EQ(error, torch::executor::Error::Ok);
+  error = dim_order_to_stride(sizes_5, dim_order_5, 5, strides_5);
+  EXPECT_EQ(error, Error::Ok);
   check_strides_eq({strides_5, 5}, {expected_strides_5, 5});
 
   // {2, 5, 7, 8, 9}
@@ -152,9 +149,8 @@ TEST(DimOrderUtilTest, DimOrderToStride) {
   expected_strides_5[2] = 360;
   expected_strides_5[3] = 45;
   expected_strides_5[4] = 5;
-  error =
-      torch::executor::dim_order_to_stride(sizes_5, dim_order_5, 5, strides_5);
-  EXPECT_EQ(error, torch::executor::Error::Ok);
+  error = dim_order_to_stride(sizes_5, dim_order_5, 5, strides_5);
+  EXPECT_EQ(error, Error::Ok);
   check_strides_eq({strides_5, 5}, {expected_strides_5, 5});
 
   // {2, 5, 7, 8, 9}
@@ -170,9 +166,8 @@ TEST(DimOrderUtilTest, DimOrderToStride) {
   expected_strides_5[2] = 80;
   expected_strides_5[3] = 5;
   expected_strides_5[4] = 560;
-  error =
-      torch::executor::dim_order_to_stride(sizes_5, dim_order_5, 5, strides_5);
-  EXPECT_EQ(error, torch::executor::Error::Ok);
+  error = dim_order_to_stride(sizes_5, dim_order_5, 5, strides_5);
+  EXPECT_EQ(error, Error::Ok);
   check_strides_eq({strides_5, 5}, {expected_strides_5, 5});
 
   // Check 0 sized dims
@@ -180,9 +175,9 @@ TEST(DimOrderUtilTest, DimOrderToStride) {
   exec_aten::SizesType dim_order_3_zero[3] = {0, 1, 2};
   exec_aten::SizesType strides_3_zero[3] = {0, 0, 0};
   exec_aten::SizesType expected_strides_3_zero[3] = {5, 1, 1};
-  error = torch::executor::dim_order_to_stride(
-      sizes_3_zero, dim_order_3_zero, 3, strides_3_zero);
-  EXPECT_EQ(error, torch::executor::Error::Ok);
+  error =
+      dim_order_to_stride(sizes_3_zero, dim_order_3_zero, 3, strides_3_zero);
+  EXPECT_EQ(error, Error::Ok);
   check_strides_eq({strides_3_zero, 3}, {expected_strides_3_zero, 3});
 
   // {0, 2, 1}
@@ -191,9 +186,9 @@ TEST(DimOrderUtilTest, DimOrderToStride) {
   // Expected stride {5, 5, 1}
   expected_strides_3_zero[0] = 5, expected_strides_3_zero[1] = 1,
   expected_strides_3_zero[2] = 5;
-  error = torch::executor::dim_order_to_stride(
-      sizes_3_zero, dim_order_3_zero, 3, strides_3_zero);
-  EXPECT_EQ(error, torch::executor::Error::Ok);
+  error =
+      dim_order_to_stride(sizes_3_zero, dim_order_3_zero, 3, strides_3_zero);
+  EXPECT_EQ(error, Error::Ok);
   check_strides_eq({strides_3_zero, 3}, {expected_strides_3_zero, 3});
 
   // {2, 0, 1}
@@ -202,9 +197,9 @@ TEST(DimOrderUtilTest, DimOrderToStride) {
   // Expected stride {10, 5, 1}
   expected_strides_3_zero[0] = 5, expected_strides_3_zero[1] = 1,
   expected_strides_3_zero[2] = 10;
-  error = torch::executor::dim_order_to_stride(
-      sizes_3_zero, dim_order_3_zero, 3, strides_3_zero);
-  EXPECT_EQ(error, torch::executor::Error::Ok);
+  error =
+      dim_order_to_stride(sizes_3_zero, dim_order_3_zero, 3, strides_3_zero);
+  EXPECT_EQ(error, Error::Ok);
   check_strides_eq({strides_3_zero, 3}, {expected_strides_3_zero, 3});
 }
 
@@ -212,9 +207,9 @@ TEST(DimOrderUtilTest, StrideToDimOrder) {
   exec_aten::SizesType strides[3] = {5, 1, 15};
   exec_aten::DimOrderType dim_order[3] = {0, 0, 0};
 
-  auto error = torch::executor::stride_to_dim_order(strides, 3, dim_order);
+  auto error = stride_to_dim_order(strides, 3, dim_order);
 
-  EXPECT_EQ(error, torch::executor::Error::Ok);
+  EXPECT_EQ(error, Error::Ok);
 
   exec_aten::DimOrderType expected_dim_order[3] = {2, 0, 1};
   check_dim_order_eq(dim_order, expected_dim_order);
@@ -224,8 +219,8 @@ TEST(DimOrderUtilTest, StrideToDimOrderSameStrides) {
   exec_aten::SizesType strides[4] = {4, 3, 1, 1};
   exec_aten::DimOrderType dim_order[4] = {0, 0, 0, 0};
 
-  auto error = torch::executor::stride_to_dim_order(strides, 4, dim_order);
-  EXPECT_EQ(error, torch::executor::Error::Ok);
+  auto error = stride_to_dim_order(strides, 4, dim_order);
+  EXPECT_EQ(error, Error::Ok);
 
   exec_aten::DimOrderType expected_dim_order[4] = {0, 1, 2, 3};
   check_dim_order_eq(dim_order, expected_dim_order);
@@ -236,12 +231,11 @@ TEST(DimOrderUtilTest, IsDefaultDimOrderTest) {
     std::vector<exec_aten::DimOrderType> dim_order(i);
     std::iota(dim_order.begin(), dim_order.end(), 0);
 
-    EXPECT_TRUE(torch::executor::is_contiguous_dim_order(
-        dim_order.data(), dim_order.size()));
+    EXPECT_TRUE(is_contiguous_dim_order(dim_order.data(), dim_order.size()));
 
     // As a bonus, check that is_channels_last returns false
-    EXPECT_FALSE(torch::executor::is_channels_last_dim_order(
-        dim_order.data(), dim_order.size()));
+    EXPECT_FALSE(
+        is_channels_last_dim_order(dim_order.data(), dim_order.size()));
   }
 }
 
@@ -252,8 +246,7 @@ TEST(DimOrderUtilTest, IsDefaultDimOrderFailCasesTest) {
     std::iota(dim_order.begin(), dim_order.end(), 0);
     std::swap(dim_order[0], dim_order[1]);
 
-    EXPECT_FALSE(torch::executor::is_contiguous_dim_order(
-        dim_order.data(), dim_order.size()));
+    EXPECT_FALSE(is_contiguous_dim_order(dim_order.data(), dim_order.size()));
   }
 
   // Dims is default order but shifted by 1
@@ -263,8 +256,7 @@ TEST(DimOrderUtilTest, IsDefaultDimOrderFailCasesTest) {
       dim_order[d] = (d + 1) % i;
     }
 
-    EXPECT_FALSE(torch::executor::is_contiguous_dim_order(
-        dim_order.data(), dim_order.size()));
+    EXPECT_FALSE(is_contiguous_dim_order(dim_order.data(), dim_order.size()));
   }
 }
 
@@ -272,12 +264,12 @@ TEST(DimOrderUtilTest, IsChannelsLastDimOrderTest) {
   exec_aten::DimOrderType dim_order_4d[4] = {0, 2, 3, 1};
   exec_aten::DimOrderType dim_order_5d[5] = {0, 2, 3, 4, 1};
 
-  EXPECT_TRUE(torch::executor::is_channels_last_dim_order(dim_order_4d, 4));
-  EXPECT_TRUE(torch::executor::is_channels_last_dim_order(dim_order_5d, 5));
+  EXPECT_TRUE(is_channels_last_dim_order(dim_order_4d, 4));
+  EXPECT_TRUE(is_channels_last_dim_order(dim_order_5d, 5));
 
   // As a bonus, check that is_default returns false
-  EXPECT_FALSE(torch::executor::is_contiguous_dim_order(dim_order_4d, 4));
-  EXPECT_FALSE(torch::executor::is_contiguous_dim_order(dim_order_5d, 5));
+  EXPECT_FALSE(is_contiguous_dim_order(dim_order_4d, 4));
+  EXPECT_FALSE(is_contiguous_dim_order(dim_order_5d, 5));
 }
 
 TEST(DimOrderUtilTest, IsChannelsLastDimOrderFailCasesTest) {
@@ -285,12 +277,12 @@ TEST(DimOrderUtilTest, IsChannelsLastDimOrderFailCasesTest) {
   exec_aten::DimOrderType dim_order_3d[4] = {1, 2, 0};
   exec_aten::DimOrderType dim_order_6d[6] = {0, 2, 3, 4, 5, 1};
 
-  EXPECT_FALSE(torch::executor::is_channels_last_dim_order(dim_order_3d, 3));
-  EXPECT_FALSE(torch::executor::is_channels_last_dim_order(dim_order_6d, 6));
+  EXPECT_FALSE(is_channels_last_dim_order(dim_order_3d, 3));
+  EXPECT_FALSE(is_channels_last_dim_order(dim_order_6d, 6));
 
   exec_aten::DimOrderType dim_order_4d[4] = {0, 3, 2, 1};
   exec_aten::DimOrderType dim_order_5d[5] = {4, 3, 2, 0, 1};
 
-  EXPECT_FALSE(torch::executor::is_channels_last_dim_order(dim_order_4d, 4));
-  EXPECT_FALSE(torch::executor::is_channels_last_dim_order(dim_order_5d, 5));
+  EXPECT_FALSE(is_channels_last_dim_order(dim_order_4d, 4));
+  EXPECT_FALSE(is_channels_last_dim_order(dim_order_5d, 5));
 }
diff --git a/runtime/core/exec_aten/util/test/operator_impl_example_test.cpp b/runtime/core/exec_aten/util/test/operator_impl_example_test.cpp
index fa4b518de4..43d0e7943b 100644
--- a/runtime/core/exec_aten/util/test/operator_impl_example_test.cpp
+++ b/runtime/core/exec_aten/util/test/operator_impl_example_test.cpp
@@ -23,7 +23,7 @@
 using namespace ::testing;
 using exec_aten::ScalarType;
 using exec_aten::Tensor;
-using torch::executor::testing::TensorFactory;
+using executorch::runtime::testing::TensorFactory;
 
 //
 // A sample implementation of a PyTorch operator using the utilities in this
diff --git a/runtime/core/exec_aten/util/test/scalar_type_util_test.cpp b/runtime/core/exec_aten/util/test/scalar_type_util_test.cpp
index fbc77dce01..9df01b7be9 100644
--- a/runtime/core/exec_aten/util/test/scalar_type_util_test.cpp
+++ b/runtime/core/exec_aten/util/test/scalar_type_util_test.cpp
@@ -17,26 +17,24 @@
 using namespace ::testing;
 using exec_aten::complex;
 using exec_aten::ScalarType;
+using executorch::runtime::elementSize;
+using executorch::runtime::isValid;
+using executorch::runtime::toString;
 
 TEST(ScalarTypeUtilTest, ToString) {
   // Some known types.
-  EXPECT_STREQ(torch::executor::toString(ScalarType::Int), "Int");
-  EXPECT_STREQ(
-      torch::executor::toString(ScalarType::ComplexHalf), "ComplexHalf");
+  EXPECT_STREQ(toString(ScalarType::Int), "Int");
+  EXPECT_STREQ(toString(ScalarType::ComplexHalf), "ComplexHalf");
 
   // Undefined, which is sort of a special case since it's not part of the
   // iteration macros but is still a part of the enum.
-  EXPECT_STREQ(torch::executor::toString(ScalarType::Undefined), "Undefined");
+  EXPECT_STREQ(toString(ScalarType::Undefined), "Undefined");
 
   // Some out-of-range types, also demonstrating that NumOptions is not really a
   // scalar type.
-  EXPECT_STREQ(
-      torch::executor::toString(ScalarType::NumOptions), "UNKNOWN_SCALAR");
-  EXPECT_STREQ(
-      torch::executor::toString(static_cast<ScalarType>(127)),
-      "UNKNOWN_SCALAR");
-  EXPECT_STREQ(
-      torch::executor::toString(static_cast<ScalarType>(-1)), "UNKNOWN_SCALAR");
+  EXPECT_STREQ(toString(ScalarType::NumOptions), "UNKNOWN_SCALAR");
+  EXPECT_STREQ(toString(static_cast<ScalarType>(127)), "UNKNOWN_SCALAR");
+  EXPECT_STREQ(toString(static_cast<ScalarType>(-1)), "UNKNOWN_SCALAR");
 }
 
 TEST(ScalarTypeUtilTest, ElementSize) {
@@ -66,48 +64,45 @@ TEST(ScalarTypeUtilTest, ElementSize) {
       {ScalarType::QUInt2x4, sizeof(::exec_aten::quint2x4)},
   };
   for (const auto& test_case : test_cases) {
-    EXPECT_EQ(
-        torch::executor::elementSize(test_case.type), test_case.expected_size);
+    EXPECT_EQ(elementSize(test_case.type), test_case.expected_size);
   }
 }
 
 TEST(ScalarTypeUtilTest, IsValidTrue) {
   // Some valid types.
-  EXPECT_TRUE(torch::executor::isValid(ScalarType::Byte));
-  EXPECT_TRUE(torch::executor::isValid(ScalarType::Float));
-  EXPECT_TRUE(torch::executor::isValid(ScalarType::ComplexFloat));
-  EXPECT_TRUE(torch::executor::isValid(ScalarType::Bits16));
+  EXPECT_TRUE(isValid(ScalarType::Byte));
+  EXPECT_TRUE(isValid(ScalarType::Float));
+  EXPECT_TRUE(isValid(ScalarType::ComplexFloat));
+  EXPECT_TRUE(isValid(ScalarType::Bits16));
 }
 
 TEST(ScalarTypeUtilTest, IsValidFalse) {
   // Undefined, which is sort of a special case since it's not part of the
   // iteration macros but is still a part of the enum.
-  EXPECT_FALSE(torch::executor::isValid(ScalarType::Undefined));
+  EXPECT_FALSE(isValid(ScalarType::Undefined));
 
   // Some out-of-range types, also demonstrating that NumOptions is not really a
   // scalar type.
-  EXPECT_FALSE(torch::executor::isValid(ScalarType::NumOptions));
-  EXPECT_FALSE(torch::executor::isValid(static_cast<ScalarType>(127)));
-  EXPECT_FALSE(torch::executor::isValid(static_cast<ScalarType>(-1)));
+  EXPECT_FALSE(isValid(ScalarType::NumOptions));
+  EXPECT_FALSE(isValid(static_cast<ScalarType>(127)));
+  EXPECT_FALSE(isValid(static_cast<ScalarType>(-1)));
 }
 
 TEST(ScalarTypeUtilTest, UnknownTypeElementSizeDies) {
   // Undefined, which is sort of a special case since it's not part of the
   // iteration macros but is still a part of the enum.
-  ET_EXPECT_DEATH(torch::executor::elementSize(ScalarType::Undefined), "");
+  ET_EXPECT_DEATH(elementSize(ScalarType::Undefined), "");
 
   // Some out-of-range types, also demonstrating that NumOptions is not really a
   // scalar type.
-  ET_EXPECT_DEATH(torch::executor::elementSize(ScalarType::NumOptions), "");
-  ET_EXPECT_DEATH(
-      torch::executor::elementSize(static_cast<ScalarType>(127)), "");
-  ET_EXPECT_DEATH(
-      torch::executor::elementSize(static_cast<ScalarType>(-1)), "");
+  ET_EXPECT_DEATH(elementSize(ScalarType::NumOptions), "");
+  ET_EXPECT_DEATH(elementSize(static_cast<ScalarType>(127)), "");
+  ET_EXPECT_DEATH(elementSize(static_cast<ScalarType>(-1)), "");
 }
 
 TEST(ScalarTypeUtilTest, canCastTest) {
   using exec_aten::ScalarType;
-  using torch::executor::canCast;
+  using executorch::runtime::canCast;
 
   // Check some common cases
 
@@ -140,41 +135,42 @@ TEST(ScalarTypeUtilTest, canCastTest) {
 
 TEST(ScalarTypeUtilTest, promoteTypesTest) {
   using exec_aten::ScalarType;
-  using torch::executor::promoteTypes;
+  using executorch::runtime::promoteTypes;
 
   // Check some common cases
 
-  ET_CHECK(
-      promoteTypes(ScalarType::Float, ScalarType::Double) ==
-      ScalarType::Double);
-  ET_CHECK(
-      promoteTypes(ScalarType::Float, ScalarType::Short) == ScalarType::Float);
+  EXPECT_EQ(
+      promoteTypes(ScalarType::Float, ScalarType::Double), ScalarType::Double);
+  EXPECT_EQ(
+      promoteTypes(ScalarType::Float, ScalarType::Short), ScalarType::Float);
 
-  ET_CHECK(
-      promoteTypes(ScalarType::Float, ScalarType::Int) == ScalarType::Float);
-  ET_CHECK(
-      promoteTypes(ScalarType::Long, ScalarType::Float) == ScalarType::Float);
+  EXPECT_EQ(
+      promoteTypes(ScalarType::Float, ScalarType::Int), ScalarType::Float);
+  EXPECT_EQ(
+      promoteTypes(ScalarType::Long, ScalarType::Float), ScalarType::Float);
 
-  ET_CHECK(
-      promoteTypes(ScalarType::Bool, ScalarType::Bool) == ScalarType::Bool);
+  EXPECT_EQ(promoteTypes(ScalarType::Bool, ScalarType::Bool), ScalarType::Bool);
 
-  ET_CHECK(promoteTypes(ScalarType::Byte, ScalarType::Int) == ScalarType::Int);
-  ET_CHECK(
-      promoteTypes(ScalarType::Char, ScalarType::Bool) == ScalarType::Char);
-  ET_CHECK(promoteTypes(ScalarType::Bool, ScalarType::Int) == ScalarType::Int);
+  EXPECT_EQ(promoteTypes(ScalarType::Byte, ScalarType::Int), ScalarType::Int);
+  EXPECT_EQ(promoteTypes(ScalarType::Char, ScalarType::Bool), ScalarType::Char);
+  EXPECT_EQ(promoteTypes(ScalarType::Bool, ScalarType::Int), ScalarType::Int);
+
+  EXPECT_EQ(
+      promoteTypes(ScalarType::BFloat16, ScalarType::Half), ScalarType::Float);
+  EXPECT_EQ(
+      promoteTypes(ScalarType::BFloat16, ScalarType::Bool),
+      ScalarType::BFloat16);
 }
 
 template <typename T1, typename T2>
 struct promote_types_is_valid
     : std::integral_constant<
           bool,
-          !std::is_same<T1, torch::executor::BFloat16>::value &&
-              !std::is_same<T2, torch::executor::BFloat16>::value &&
-              (std::is_same<T1, T2>::value ||
-               (!torch::executor::is_qint_type<T1>::value &&
-                !torch::executor::is_qint_type<T2>::value &&
-                !torch::executor::is_bits_type<T1>::value &&
-                !torch::executor::is_bits_type<T2>::value))> {};
+          (std::is_same<T1, T2>::value ||
+           (!executorch::runtime::is_qint_type<T1>::value &&
+            !executorch::runtime::is_qint_type<T2>::value &&
+            !executorch::runtime::is_bits_type<T1>::value &&
+            !executorch::runtime::is_bits_type<T2>::value))> {};
 
 template <typename T1, bool half_to_float>
 struct CompileTimePromoteTypesTestCase {
@@ -190,14 +186,18 @@ struct CompileTimePromoteTypesTestCase {
       bool valid,
       typename std::enable_if<valid, bool>::type = true>
   static void testOne() {
-    auto actual = torch::executor::CppTypeToScalarType<
-        typename torch::executor::promote_types<T1, T2, half_to_float>::type>::
-        value;
-    const auto scalarType1 = torch::executor::CppTypeToScalarType<T1>::value;
-    const auto scalarType2 = torch::executor::CppTypeToScalarType<T2>::value;
-    auto expected = promoteTypes(scalarType1, scalarType2, half_to_float);
+    auto actual = executorch::runtime::CppTypeToScalarType<
+        typename executorch::runtime::promote_types<T1, T2, half_to_float>::
+            type>::value;
+    const auto scalarType1 =
+        executorch::runtime::CppTypeToScalarType<T1>::value;
+    const auto scalarType2 =
+        executorch::runtime::CppTypeToScalarType<T2>::value;
+    auto expected = executorch::runtime::promoteTypes(
+        scalarType1, scalarType2, half_to_float);
     EXPECT_EQ(actual, expected)
-        << "promoting " << (int)scalarType1 << " to " << (int)scalarType2;
+        << "promoting " << (int)scalarType1 << " to " << (int)scalarType2
+        << " (half to float: " << half_to_float << ')';
   }
 
   template <
diff --git a/runtime/core/exec_aten/util/test/targets.bzl b/runtime/core/exec_aten/util/test/targets.bzl
index cbd31013b5..615b7c99a4 100644
--- a/runtime/core/exec_aten/util/test/targets.bzl
+++ b/runtime/core/exec_aten/util/test/targets.bzl
@@ -16,16 +16,6 @@ def define_common_targets():
         ],
     )
 
-    runtime.cxx_test(
-        name = "tensor_util_test",
-        srcs = ["tensor_util_test.cpp"],
-        deps = [
-            "//executorch/runtime/core/exec_aten/testing_util:tensor_util",
-            "//executorch/runtime/core/exec_aten/util:scalar_type_util",
-            "//executorch/runtime/core/exec_aten/util:tensor_util",
-        ],
-    )
-
     runtime.cxx_test(
         name = "operator_impl_example_test",
         srcs = ["operator_impl_example_test.cpp"],
@@ -44,3 +34,15 @@ def define_common_targets():
             "//executorch/runtime/core/exec_aten/util:tensor_util",
         ],
     )
+
+    for aten_mode in (True, False):
+        aten_suffix = "_aten" if aten_mode else ""
+        runtime.cxx_test(
+            name = "tensor_util_test" + aten_suffix,
+            srcs = ["tensor_util_test.cpp"],
+            deps = [
+                "//executorch/runtime/core/exec_aten/testing_util:tensor_util",
+                "//executorch/runtime/core/exec_aten/util:scalar_type_util",
+                "//executorch/runtime/core/exec_aten/util:tensor_util" + aten_suffix,
+            ],
+        )
diff --git a/runtime/core/exec_aten/util/test/tensor_util_test.cpp b/runtime/core/exec_aten/util/test/tensor_util_test.cpp
index e00032f6a2..88588dade6 100644
--- a/runtime/core/exec_aten/util/test/tensor_util_test.cpp
+++ b/runtime/core/exec_aten/util/test/tensor_util_test.cpp
@@ -14,12 +14,11 @@
 #include <cmath>
 #include <limits>
 
-#include <gtest/gtest.h>
-
 using namespace ::testing;
 using exec_aten::ScalarType;
 using exec_aten::Tensor;
-using torch::executor::testing::TensorFactory;
+using executorch::runtime::extract_scalar_tensor;
+using executorch::runtime::testing::TensorFactory;
 
 class TensorUtilTest : public ::testing::Test {
  protected:
@@ -34,7 +33,7 @@ class TensorUtilTest : public ::testing::Test {
   void SetUp() override {
     // As some of these tests cause ET_LOG to be called, the PAL must be
     // initialized first by calling runtime_init();
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
   }
 };
 
@@ -149,13 +148,13 @@ TEST_F(TensorUtilTest, GetLeadingDimsSmokeTest) {
   Tensor t = tf_int_.ones({2, 3, 4});
 
   // getLeadingDims(t, 1) => t.size(0)
-  EXPECT_EQ(torch::executor::getLeadingDims(t, 1), 2);
+  EXPECT_EQ(executorch::runtime::getLeadingDims(t, 1), 2);
 
   // getLeadingDims(t, 2) => t.size(0) * t.size(1)
-  EXPECT_EQ(torch::executor::getLeadingDims(t, 2), 6);
+  EXPECT_EQ(executorch::runtime::getLeadingDims(t, 2), 6);
 
   // getLeadingDims(t, 3) => t.size(0) * t.size(1) * t.size(2)
-  EXPECT_EQ(torch::executor::getLeadingDims(t, 3), 24);
+  EXPECT_EQ(executorch::runtime::getLeadingDims(t, 3), 24);
 }
 
 TEST_F(TensorUtilTest, GetLeadingDimsInputOutOfBoundDies) {
@@ -163,9 +162,9 @@ TEST_F(TensorUtilTest, GetLeadingDimsInputOutOfBoundDies) {
   Tensor t = tf_int_.ones({2, 3, 4});
 
   // dim needs to be in the range [0, t.dim()]
-  ET_EXPECT_DEATH(torch::executor::getLeadingDims(t, -2), "");
-  ET_EXPECT_DEATH(torch::executor::getLeadingDims(t, -1), "");
-  ET_EXPECT_DEATH(torch::executor::getLeadingDims(t, 4), "");
+  ET_EXPECT_DEATH(executorch::runtime::getLeadingDims(t, -2), "");
+  ET_EXPECT_DEATH(executorch::runtime::getLeadingDims(t, -1), "");
+  ET_EXPECT_DEATH(executorch::runtime::getLeadingDims(t, 4), "");
 }
 
 TEST_F(TensorUtilTest, GetTrailingDimsSmokeTest) {
@@ -173,13 +172,13 @@ TEST_F(TensorUtilTest, GetTrailingDimsSmokeTest) {
   Tensor t = tf_int_.ones({2, 3, 4});
 
   // getTrailingDims(t, 1) => t.size(2)
-  EXPECT_EQ(torch::executor::getTrailingDims(t, 1), 4);
+  EXPECT_EQ(executorch::runtime::getTrailingDims(t, 1), 4);
 
   // getTrailingDims(t, 0) => t.size(1) * t.size(2)
-  EXPECT_EQ(torch::executor::getTrailingDims(t, 0), 12);
+  EXPECT_EQ(executorch::runtime::getTrailingDims(t, 0), 12);
 
   // getTrailingDims(t, -1) => t.size(0) * t.size(1) * t.size(2)
-  EXPECT_EQ(torch::executor::getTrailingDims(t, -1), 24);
+  EXPECT_EQ(executorch::runtime::getTrailingDims(t, -1), 24);
 }
 
 TEST_F(TensorUtilTest, GetTrailingDimsInputOutOfBoundDies) {
@@ -187,9 +186,9 @@ TEST_F(TensorUtilTest, GetTrailingDimsInputOutOfBoundDies) {
   Tensor t = tf_int_.ones({2, 3, 4});
 
   // dim needs to be in the range [-1, t.dim() - 1)
-  ET_EXPECT_DEATH(torch::executor::getTrailingDims(t, -2), "");
-  ET_EXPECT_DEATH(torch::executor::getTrailingDims(t, 3), "");
-  ET_EXPECT_DEATH(torch::executor::getTrailingDims(t, 4), "");
+  ET_EXPECT_DEATH(executorch::runtime::getTrailingDims(t, -2), "");
+  ET_EXPECT_DEATH(executorch::runtime::getTrailingDims(t, 3), "");
+  ET_EXPECT_DEATH(executorch::runtime::getTrailingDims(t, 4), "");
 }
 
 TEST_F(TensorUtilTest, ContiguousCheckSupported) {
@@ -271,10 +270,10 @@ TEST_F(TensorUtilTest, CheckSameContiguousStrideSupported) {
 TEST_F(TensorUtilTest, ExtractIntScalarTensorSmoke) {
   Tensor t = tf_int_.ones({1});
   bool ok;
-#define CASE_INT_DTYPE(ctype, unused)                           \
-  ctype out_##ctype;                                            \
-  ok = torch::executor::extract_scalar_tensor(t, &out_##ctype); \
-  ASSERT_TRUE(ok);                                              \
+#define CASE_INT_DTYPE(ctype, unused)          \
+  ctype out_##ctype;                           \
+  ok = extract_scalar_tensor(t, &out_##ctype); \
+  ASSERT_TRUE(ok);                             \
   EXPECT_EQ(out_##ctype, 1);
 
   ET_FORALL_INT_TYPES(CASE_INT_DTYPE);
@@ -284,10 +283,10 @@ TEST_F(TensorUtilTest, ExtractIntScalarTensorSmoke) {
 TEST_F(TensorUtilTest, ExtractFloatScalarTensorFloatingTypeSmoke) {
   Tensor t = tf_float_.ones({1});
   bool ok;
-#define CASE_FLOAT_DTYPE(ctype, unused)                         \
-  ctype out_##ctype;                                            \
-  ok = torch::executor::extract_scalar_tensor(t, &out_##ctype); \
-  ASSERT_TRUE(ok);                                              \
+#define CASE_FLOAT_DTYPE(ctype, unused)        \
+  ctype out_##ctype;                           \
+  ok = extract_scalar_tensor(t, &out_##ctype); \
+  ASSERT_TRUE(ok);                             \
   EXPECT_EQ(out_##ctype, 1.0);
 
   ET_FORALL_FLOAT_TYPES(CASE_FLOAT_DTYPE);
@@ -297,10 +296,10 @@ TEST_F(TensorUtilTest, ExtractFloatScalarTensorFloatingTypeSmoke) {
 TEST_F(TensorUtilTest, ExtractFloatScalarTensorIntegralTypeSmoke) {
   Tensor t = tf_int_.ones({1});
   bool ok;
-#define CASE_FLOAT_DTYPE(ctype, unused)                         \
-  ctype out_##ctype;                                            \
-  ok = torch::executor::extract_scalar_tensor(t, &out_##ctype); \
-  ASSERT_TRUE(ok);                                              \
+#define CASE_FLOAT_DTYPE(ctype, unused)        \
+  ctype out_##ctype;                           \
+  ok = extract_scalar_tensor(t, &out_##ctype); \
+  ASSERT_TRUE(ok);                             \
   EXPECT_EQ(out_##ctype, 1.0);
 
   ET_FORALL_INT_TYPES(CASE_FLOAT_DTYPE);
@@ -311,7 +310,7 @@ TEST_F(TensorUtilTest, ExtractBoolScalarTensorSmoke) {
   Tensor t = tf_bool_.ones({1});
   bool out;
   bool ok;
-  ok = torch::executor::extract_scalar_tensor(t, &out);
+  ok = extract_scalar_tensor(t, &out);
   ASSERT_TRUE(ok);
   EXPECT_EQ(out, true);
 }
@@ -322,19 +321,19 @@ TEST_F(TensorUtilTest, FloatScalarTensorStressTests) {
 
   // Case: Positive Infinity
   Tensor t_pos_inf = tf_double_.make({1}, {INFINITY});
-  ok = torch::executor::extract_scalar_tensor(t_pos_inf, &value);
+  ok = extract_scalar_tensor(t_pos_inf, &value);
   EXPECT_TRUE(ok);
   EXPECT_TRUE(std::isinf(value));
 
   // Case: Negative Infinity
   Tensor t_neg_inf = tf_double_.make({1}, {-INFINITY});
-  ok = torch::executor::extract_scalar_tensor(t_neg_inf, &value);
+  ok = extract_scalar_tensor(t_neg_inf, &value);
   EXPECT_TRUE(ok);
   EXPECT_TRUE(std::isinf(value));
 
   // Case: Not a Number (NaN) - ex: sqrt(-1.0)
   Tensor t_nan = tf_double_.make({1}, {NAN});
-  ok = torch::executor::extract_scalar_tensor(t_nan, &value);
+  ok = extract_scalar_tensor(t_nan, &value);
   EXPECT_TRUE(ok);
   EXPECT_TRUE(std::isnan(value));
 }
@@ -344,7 +343,7 @@ TEST_F(TensorUtilTest, IntScalarTensorNotIntegralTypeFails) {
   int64_t out;
   // Fails since tensor is floating type but attempting to extract integer
   // value.
-  bool ok = torch::executor::extract_scalar_tensor(t, &out);
+  bool ok = extract_scalar_tensor(t, &out);
   EXPECT_FALSE(ok);
 }
 
@@ -352,7 +351,7 @@ TEST_F(TensorUtilTest, FloatScalarTensorNotFloatingTypeFails) {
   Tensor t = tf_bool_.ones({1});
   double out;
   // Fails since tensor is boolean type but attempting to extract float value.
-  bool ok = torch::executor::extract_scalar_tensor(t, &out);
+  bool ok = extract_scalar_tensor(t, &out);
   EXPECT_FALSE(ok);
 }
 
@@ -360,7 +359,7 @@ TEST_F(TensorUtilTest, IntTensorNotScalarFails) {
   Tensor t = tf_int_.ones({2, 3});
   int64_t out;
   // Fails since tensor has multiple dims and values.
-  bool ok = torch::executor::extract_scalar_tensor(t, &out);
+  bool ok = extract_scalar_tensor(t, &out);
   EXPECT_FALSE(ok);
 }
 
@@ -368,7 +367,7 @@ TEST_F(TensorUtilTest, FloatTensorNotScalarFails) {
   Tensor t = tf_float_.ones({2, 3});
   double out;
   // Fails since tensor has multiple dims and values.
-  bool ok = torch::executor::extract_scalar_tensor(t, &out);
+  bool ok = extract_scalar_tensor(t, &out);
   EXPECT_FALSE(ok);
 }
 
@@ -376,7 +375,7 @@ TEST_F(TensorUtilTest, IntTensorOutOfBoundFails) {
   Tensor t = tf_int_.make({1}, {256});
   int8_t out;
   // Fails since 256 is out of bounds for `int8_t` (-128 to 127).
-  bool ok = torch::executor::extract_scalar_tensor(t, &out);
+  bool ok = extract_scalar_tensor(t, &out);
   EXPECT_FALSE(ok);
 }
 
@@ -385,9 +384,9 @@ TEST_F(TensorUtilTest, FloatTensorOutOfBoundFails) {
   float out;
   bool ok;
 
-#define CASE_FLOAT(value)                               \
-  t = tf_double_.make({1}, {value});                    \
-  ok = torch::executor::extract_scalar_tensor(t, &out); \
+#define CASE_FLOAT(value)              \
+  t = tf_double_.make({1}, {value});   \
+  ok = extract_scalar_tensor(t, &out); \
   EXPECT_FALSE(ok);
 
   // Float tensor can't handle double's largest negative value (note the use of
@@ -405,7 +404,7 @@ TEST_F(TensorUtilTest, BoolScalarTensorNotBooleanTypeFails) {
   bool out;
   // Fails since tensor is integral type but attempting to extract boolean
   // value.
-  bool ok = torch::executor::extract_scalar_tensor(c, &out);
+  bool ok = extract_scalar_tensor(c, &out);
   EXPECT_FALSE(ok);
 }
 
@@ -413,7 +412,7 @@ TEST_F(TensorUtilTest, BoolTensorNotScalarFails) {
   Tensor c = tf_bool_.ones({2, 3});
   bool out;
   // Fails since tensor has multiple dims and values.
-  bool ok = torch::executor::extract_scalar_tensor(c, &out);
+  bool ok = extract_scalar_tensor(c, &out);
   EXPECT_FALSE(ok);
 }
 
@@ -422,7 +421,7 @@ TEST_F(TensorUtilTest, BoolTensorNotScalarFails) {
 //
 
 TEST_F(TensorUtilTest, TensorIsRankTest) {
-  using namespace torch::executor;
+  using executorch::runtime::tensor_is_rank;
   Tensor a = tf_float_.ones({2, 3, 5});
 
   EXPECT_TRUE(tensor_is_rank(a, 3));
@@ -431,7 +430,7 @@ TEST_F(TensorUtilTest, TensorIsRankTest) {
 }
 
 TEST_F(TensorUtilTest, TensorHasDimTest) {
-  using namespace torch::executor;
+  using executorch::runtime::tensor_has_dim;
   Tensor a = tf_float_.ones({2, 3, 5});
 
   EXPECT_TRUE(tensor_has_dim(a, 2));
@@ -446,7 +445,7 @@ TEST_F(TensorUtilTest, TensorHasDimTest) {
 }
 
 TEST_F(TensorUtilTest, TensorsHaveSameDtypeTest) {
-  using namespace torch::executor;
+  using executorch::runtime::tensors_have_same_dtype;
   Tensor a = tf_float_.ones({2, 3});
   Tensor b = tf_float_.ones({2, 3});
   Tensor c = tf_float_.ones({3, 3});
@@ -459,7 +458,7 @@ TEST_F(TensorUtilTest, TensorsHaveSameDtypeTest) {
 }
 
 TEST_F(TensorUtilTest, TensorsHaveSameSizeAtDimTest) {
-  using namespace torch::executor;
+  using executorch::runtime::tensors_have_same_size_at_dims;
   Tensor a = tf_float_.ones({2, 3, 4, 5});
   Tensor b = tf_float_.ones({5, 4, 3, 2});
 
@@ -471,7 +470,7 @@ TEST_F(TensorUtilTest, TensorsHaveSameSizeAtDimTest) {
 }
 
 TEST_F(TensorUtilTest, TensorsHaveSameShapeTest) {
-  using namespace torch::executor;
+  using executorch::runtime::tensors_have_same_shape;
   Tensor a = tf_float_.ones({2, 3});
   Tensor b = tf_int_.ones({2, 3});
   Tensor c = tf_byte_.ones({2, 3});
@@ -494,7 +493,7 @@ TEST_F(TensorUtilTest, TensorsHaveSameShapeTest) {
 }
 
 TEST_F(TensorUtilTest, TensorsHaveSameShapeAndDtypeTest) {
-  using namespace torch::executor;
+  using executorch::runtime::tensors_have_same_shape_and_dtype;
   Tensor a = tf_float_.ones({2, 3});
   Tensor b = tf_float_.ones({2, 3});
   Tensor c = tf_float_.ones({2, 3});
@@ -516,7 +515,7 @@ TEST_F(TensorUtilTest, TensorsHaveSameShapeAndDtypeTest) {
 }
 
 TEST_F(TensorUtilTest, TensorsHaveSameStridesTest) {
-  using namespace torch::executor;
+  using executorch::runtime::tensors_have_same_strides;
   Tensor a = tf_float_.full_channels_last({4, 5, 2, 3}, 1);
   Tensor b = tf_float_.full_channels_last({4, 5, 2, 3}, 2);
   Tensor c = tf_float_.full_channels_last({4, 5, 2, 3}, 3);
@@ -531,7 +530,7 @@ TEST_F(TensorUtilTest, TensorsHaveSameStridesTest) {
 }
 
 TEST_F(TensorUtilTest, TensorIsContiguous) {
-  using namespace torch::executor;
+  using executorch::runtime::tensor_is_contiguous;
   // Note that the strides.size() == 0 case is not tested, since
   Tensor a = tf_float_.full_channels_last({4, 5, 2, 3}, 1);
   Tensor b = tf_float_.ones({4, 5, 2, 3});
@@ -545,9 +544,64 @@ TEST_F(TensorUtilTest, TensorIsContiguous) {
 }
 
 TEST_F(TensorUtilTest, ResizeZeroDimTensor) {
-  using namespace torch::executor;
   Tensor a = tf_float_.ones({});
 
-  EXPECT_EQ(resize_tensor(a, {}), Error::Ok);
+  EXPECT_EQ(
+      executorch::runtime::resize_tensor(a, {}),
+      executorch::runtime::Error::Ok);
   EXPECT_EQ(a.dim(), 0);
 }
+
+TEST_F(TensorUtilTest, SameDimOrderContiguous) {
+  using namespace torch::executor;
+  // Three different tensors with the same shape and same dim order
+  // ([0, 1, 2, 3]), but different dtypes and contents.
+  std::vector<int32_t> sizes = {3, 5, 2, 1};
+  Tensor a = tf_byte_.ones(sizes);
+  Tensor b = tf_int_.zeros(sizes);
+  Tensor c = tf_float_.full(sizes, 0.1);
+
+  // The tensors have the same dim order, should pass the following checks.
+  EXPECT_TRUE(tensors_have_same_dim_order(a, b));
+  EXPECT_TRUE(tensors_have_same_dim_order(b, a));
+  EXPECT_TRUE(tensors_have_same_dim_order(a, b, c));
+  EXPECT_TRUE(tensors_have_same_dim_order(b, c, a));
+  EXPECT_TRUE(tensors_have_same_dim_order(c, a, b));
+}
+
+TEST_F(TensorUtilTest, SameDimOrderChannelsLast) {
+  using namespace torch::executor;
+  // Three different tensors with the same shape and same dim order
+  // ([0, 2, 3, 1]), but different dtypes and contents.
+  std::vector<int32_t> sizes = {3, 5, 2, 1};
+  Tensor a = tf_byte_.full_channels_last(sizes, 1);
+  Tensor b = tf_int_.full_channels_last(sizes, 0);
+  Tensor c = tf_float_.full_channels_last(sizes, 0.1);
+
+  // The tensors have the same dim order, should pass the following checks.
+  EXPECT_TRUE(tensors_have_same_dim_order(a, b));
+  EXPECT_TRUE(tensors_have_same_dim_order(b, a));
+  EXPECT_TRUE(tensors_have_same_dim_order(a, b, c));
+  EXPECT_TRUE(tensors_have_same_dim_order(b, c, a));
+  EXPECT_TRUE(tensors_have_same_dim_order(c, a, b));
+}
+
+TEST_F(TensorUtilTest, SameShapesDifferentDimOrder) {
+  using namespace torch::executor;
+  // Three different tensors with the same shape but different dtypes and
+  // contents, where b and c have the same dim order ([0, 2, 3, 1]) while a is
+  // different ([0, 1, 2, 3]).
+  std::vector<int32_t> sizes = {3, 5, 2, 1};
+  Tensor a = tf_byte_.ones(sizes);
+  Tensor b = tf_int_.full_channels_last(sizes, 0);
+  Tensor c = tf_float_.full_channels_last(sizes, 0.1);
+
+  // Not the same dim order. Chec
+  EXPECT_FALSE(tensors_have_same_dim_order(a, b));
+  EXPECT_FALSE(tensors_have_same_dim_order(b, a));
+
+  // Test with a mismatching tensor in all positions, where the other two agree.
+  EXPECT_FALSE(tensors_have_same_dim_order(a, b, c));
+  EXPECT_FALSE(tensors_have_same_dim_order(a, c, b));
+  EXPECT_FALSE(tensors_have_same_dim_order(c, b, a));
+}
diff --git a/runtime/core/freeable_buffer.h b/runtime/core/freeable_buffer.h
index cb68b3b627..a90c899103 100644
--- a/runtime/core/freeable_buffer.h
+++ b/runtime/core/freeable_buffer.h
@@ -10,8 +10,8 @@
 
 #include <cstddef>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * A read-only buffer than can be freed.
@@ -110,5 +110,13 @@ class FreeableBuffer final {
   size_t size_;
 };
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::FreeableBuffer;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/hierarchical_allocator.h b/runtime/core/hierarchical_allocator.h
index 8e7c61439c..b5ba8b0446 100644
--- a/runtime/core/hierarchical_allocator.h
+++ b/runtime/core/hierarchical_allocator.h
@@ -16,8 +16,8 @@
 #include <executorch/runtime/platform/log.h>
 #include <cstdint>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * A group of buffers that can be used to represent a device's memory hierarchy.
@@ -38,7 +38,7 @@ class HierarchicalAllocator final {
   /**
    * DEPRECATED: Use spans instead.
    */
-  __ET_DEPRECATED HierarchicalAllocator(
+  ET_DEPRECATED HierarchicalAllocator(
       uint32_t n_allocators,
       MemoryAllocator* allocators)
       : buffers_(to_spans(n_allocators, allocators)) {}
@@ -55,7 +55,7 @@ class HierarchicalAllocator final {
    * @returns On success, the address of the requested byte offset into the
    *     specified buffer. On failure, a non-Ok Error.
    */
-  __ET_NODISCARD Result<void*> get_offset_address(
+  ET_NODISCARD Result<void*> get_offset_address(
       uint32_t memory_id,
       size_t offset_bytes,
       size_t size_bytes) {
@@ -105,5 +105,13 @@ class HierarchicalAllocator final {
   Span<Span<uint8_t>> buffers_;
 };
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::HierarchicalAllocator;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/memory_allocator.h b/runtime/core/memory_allocator.h
index a36d8750fe..5149abdaa1 100644
--- a/runtime/core/memory_allocator.h
+++ b/runtime/core/memory_allocator.h
@@ -18,8 +18,8 @@
 #include <executorch/runtime/platform/log.h>
 #include <executorch/runtime/platform/profiler.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * A class that does simple allocation based on a size and returns the pointer
@@ -156,7 +156,7 @@ class MemoryAllocator {
     cur_ = begin_;
   }
 
-  void enable_profiling(__ET_UNUSED const char* name) {
+  void enable_profiling(ET_UNUSED const char* name) {
     prof_id_ = EXECUTORCH_TRACK_ALLOCATOR(name);
   }
 
@@ -198,7 +198,7 @@ class MemoryAllocator {
   int32_t prof_id_ = -1;
 };
 
-#if __ET_HAVE_GNU_STATEMENT_EXPRESSIONS
+#if ET_HAVE_GNU_STATEMENT_EXPRESSIONS
 /**
  * Tries allocating from the specified MemoryAllocator*.
  *
@@ -220,7 +220,7 @@ class MemoryAllocator {
     if (et_try_allocate_result == nullptr && nbytes__ > 0) {               \
       __VA_ARGS__                                                          \
       /* The args must return. */                                          \
-      __ET_UNREACHABLE();                                                  \
+      ET_UNREACHABLE();                                                    \
     }                                                                      \
     et_try_allocate_result;                                                \
   })
@@ -247,7 +247,7 @@ class MemoryAllocator {
     if (et_try_allocate_result == nullptr) {                         \
       __VA_ARGS__                                                    \
       /* The args must return. */                                    \
-      __ET_UNREACHABLE();                                            \
+      ET_UNREACHABLE();                                              \
     }                                                                \
     et_try_allocate_result;                                          \
   })
@@ -275,11 +275,11 @@ class MemoryAllocator {
     if (et_try_allocate_result == nullptr && nelem__ > 0) {               \
       __VA_ARGS__                                                         \
       /* The args must return. */                                         \
-      __ET_UNREACHABLE();                                                 \
+      ET_UNREACHABLE();                                                   \
     }                                                                     \
     et_try_allocate_result;                                               \
   })
-#else // !__ET_HAVE_GNU_STATEMENT_EXPRESSIONS
+#else // !ET_HAVE_GNU_STATEMENT_EXPRESSIONS
 /**
  * The recommended alternative for statement expression-incompatible compilers
  * is to directly allocate the memory.
@@ -312,14 +312,14 @@ class MemoryAllocator {
       false,                                                              \
       "ET_TRY_ALLOCATE_LIST_OR uses statement \
     expressions and thus is not available for use with this compiler.");
-#endif // !__ET_HAVE_GNU_STATEMENT_EXPRESSIONS
+#endif // !ET_HAVE_GNU_STATEMENT_EXPRESSIONS
 
 /**
  * Tries allocating from the specified MemoryAllocator*.
  *
  * - On success, returns a pointer to the allocated buffer.
  * - On failure, returns `Error::MemoryAllocationFailed` from the calling
- *   function, which must be declared to return `torch::executor::Error`.
+ *   function, which must be declared to return `executorch::runtime::Error`.
  *
  * Example:
  * @code
@@ -328,7 +328,7 @@ class MemoryAllocator {
  */
 #define ET_ALLOCATE_OR_RETURN_ERROR(memory_allocator__, nbytes__) \
   ET_TRY_ALLOCATE_OR(memory_allocator__, nbytes__, {              \
-    return torch::executor::Error::MemoryAllocationFailed;        \
+    return ::executorch::runtime::Error::MemoryAllocationFailed;  \
   })
 
 /**
@@ -337,7 +337,7 @@ class MemoryAllocator {
  * - On success, returns a pointer to the allocated buffer. Note that the memory
  *   will not be initialized.
  * - On failure, returns `Error::MemoryAllocationFailed` from the calling
- *   function, which must be declared to return `torch::executor::Error`.
+ *   function, which must be declared to return `executorch::runtime::Error`.
  *
  * Example:
  * @code
@@ -346,7 +346,7 @@ class MemoryAllocator {
  */
 #define ET_ALLOCATE_INSTANCE_OR_RETURN_ERROR(memory_allocator__, type__) \
   ET_TRY_ALLOCATE_INSTANCE_OR(memory_allocator__, type__, {              \
-    return torch::executor::Error::MemoryAllocationFailed;               \
+    return ::executorch::runtime::Error::MemoryAllocationFailed;         \
   })
 
 /**
@@ -355,7 +355,7 @@ class MemoryAllocator {
  *
  * - On success, returns a pointer to the allocated buffer.
  * - On failure, returns `Error::MemoryAllocationFailed` from the calling
- *   function, which must be declared to return `torch::executor::Error`.
+ *   function, which must be declared to return `executorch::runtime::Error`.
  *
  * Example:
  * @code
@@ -365,8 +365,16 @@ class MemoryAllocator {
  */
 #define ET_ALLOCATE_LIST_OR_RETURN_ERROR(memory_allocator__, type__, nelem__) \
   ET_TRY_ALLOCATE_LIST_OR(memory_allocator__, type__, nelem__, {              \
-    return torch::executor::Error::MemoryAllocationFailed;                    \
+    return ::executorch::runtime::Error::MemoryAllocationFailed;              \
   })
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::MemoryAllocator;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/portable_type/bfloat16.h b/runtime/core/portable_type/bfloat16.h
index a1ceb0c56a..e665e6152e 100644
--- a/runtime/core/portable_type/bfloat16.h
+++ b/runtime/core/portable_type/bfloat16.h
@@ -8,11 +8,41 @@
 
 #pragma once
 
+#include <cmath>
 #include <cstdint>
+#include <cstring>
+#include <limits>
+#include <ostream>
 
 namespace torch {
 namespace executor {
 
+namespace internal {
+inline float f32_from_bits(uint16_t src) {
+  float res = 0;
+  uint32_t tmp = src;
+  tmp <<= 16;
+  std::memcpy(&res, &tmp, sizeof(tmp));
+  return res;
+}
+
+inline uint16_t bits_from_f32(float src) {
+  uint32_t res = 0;
+  std::memcpy(&res, &src, sizeof(res));
+  return res >> 16;
+}
+
+inline uint16_t round_to_nearest_even(float src) {
+  if (std::isnan(src)) {
+    return UINT16_C(0x7FC0);
+  }
+  uint32_t U32 = 0;
+  std::memcpy(&U32, &src, sizeof(U32));
+  uint32_t rounding_bias = ((U32 >> 16) & 1) + UINT32_C(0x7FFF);
+  return static_cast<uint16_t>((U32 + rounding_bias) >> 16);
+}
+} // namespace internal
+
 /**
  * The "brain floating-point" type, compatible with c10/util/BFloat16.h from
  * pytorch core.
@@ -22,7 +52,288 @@ namespace executor {
  */
 struct alignas(2) BFloat16 {
   uint16_t x;
+
+  BFloat16() = default;
+  struct from_bits_t {};
+  static constexpr from_bits_t from_bits() {
+    return from_bits_t();
+  }
+
+  constexpr BFloat16(unsigned short bits, from_bits_t) : x(bits) {}
+  /* implicit */ BFloat16(float value)
+      : x(internal::round_to_nearest_even(value)) {}
+  operator float() const {
+    return internal::f32_from_bits(x);
+  }
 };
 
+inline std::ostream& operator<<(std::ostream& out, const BFloat16& value) {
+  out << (float)value;
+  return out;
+}
+
+/// Arithmetic
+
+inline BFloat16 operator+(const BFloat16& a, const BFloat16& b) {
+  return static_cast<float>(a) + static_cast<float>(b);
+}
+
+inline BFloat16 operator-(const BFloat16& a, const BFloat16& b) {
+  return static_cast<float>(a) - static_cast<float>(b);
+}
+
+inline BFloat16 operator*(const BFloat16& a, const BFloat16& b) {
+  return static_cast<float>(a) * static_cast<float>(b);
+}
+
+inline BFloat16 operator/(const BFloat16& a, const BFloat16& b) {
+  return static_cast<float>(a) / static_cast<float>(b);
+}
+
+inline BFloat16 operator-(const BFloat16& a) {
+  return -static_cast<float>(a);
+}
+
+inline BFloat16& operator+=(BFloat16& a, const BFloat16& b) {
+  a = a + b;
+  return a;
+}
+
+inline BFloat16& operator-=(BFloat16& a, const BFloat16& b) {
+  a = a - b;
+  return a;
+}
+
+inline BFloat16& operator*=(BFloat16& a, const BFloat16& b) {
+  a = a * b;
+  return a;
+}
+
+inline BFloat16& operator/=(BFloat16& a, const BFloat16& b) {
+  a = a / b;
+  return a;
+}
+
+inline BFloat16& operator|(BFloat16& a, const BFloat16& b) {
+  a.x = a.x | b.x;
+  return a;
+}
+
+inline BFloat16& operator^(BFloat16& a, const BFloat16& b) {
+  a.x = a.x ^ b.x;
+  return a;
+}
+
+inline BFloat16& operator&(BFloat16& a, const BFloat16& b) {
+  a.x = a.x & b.x;
+  return a;
+}
+
+/// Arithmetic with floats
+
+inline float operator+(BFloat16 a, float b) {
+  return static_cast<float>(a) + b;
+}
+inline float operator-(BFloat16 a, float b) {
+  return static_cast<float>(a) - b;
+}
+inline float operator*(BFloat16 a, float b) {
+  return static_cast<float>(a) * b;
+}
+inline float operator/(BFloat16 a, float b) {
+  return static_cast<float>(a) / b;
+}
+
+inline float operator+(float a, BFloat16 b) {
+  return a + static_cast<float>(b);
+}
+inline float operator-(float a, BFloat16 b) {
+  return a - static_cast<float>(b);
+}
+inline float operator*(float a, BFloat16 b) {
+  return a * static_cast<float>(b);
+}
+inline float operator/(float a, BFloat16 b) {
+  return a / static_cast<float>(b);
+}
+
+inline float& operator+=(float& a, const BFloat16& b) {
+  return a += static_cast<float>(b);
+}
+inline float& operator-=(float& a, const BFloat16& b) {
+  return a -= static_cast<float>(b);
+}
+inline float& operator*=(float& a, const BFloat16& b) {
+  return a *= static_cast<float>(b);
+}
+inline float& operator/=(float& a, const BFloat16& b) {
+  return a /= static_cast<float>(b);
+}
+
+/// Arithmetic with doubles
+
+inline double operator+(BFloat16 a, double b) {
+  return static_cast<double>(a) + b;
+}
+inline double operator-(BFloat16 a, double b) {
+  return static_cast<double>(a) - b;
+}
+inline double operator*(BFloat16 a, double b) {
+  return static_cast<double>(a) * b;
+}
+inline double operator/(BFloat16 a, double b) {
+  return static_cast<double>(a) / b;
+}
+
+inline double operator+(double a, BFloat16 b) {
+  return a + static_cast<double>(b);
+}
+inline double operator-(double a, BFloat16 b) {
+  return a - static_cast<double>(b);
+}
+inline double operator*(double a, BFloat16 b) {
+  return a * static_cast<double>(b);
+}
+inline double operator/(double a, BFloat16 b) {
+  return a / static_cast<double>(b);
+}
+
+/// Arithmetic with ints
+
+inline BFloat16 operator+(BFloat16 a, int b) {
+  return a + static_cast<BFloat16>(b);
+}
+inline BFloat16 operator-(BFloat16 a, int b) {
+  return a - static_cast<BFloat16>(b);
+}
+inline BFloat16 operator*(BFloat16 a, int b) {
+  return a * static_cast<BFloat16>(b);
+}
+inline BFloat16 operator/(BFloat16 a, int b) {
+  return a / static_cast<BFloat16>(b);
+}
+
+inline BFloat16 operator+(int a, BFloat16 b) {
+  return static_cast<BFloat16>(a) + b;
+}
+inline BFloat16 operator-(int a, BFloat16 b) {
+  return static_cast<BFloat16>(a) - b;
+}
+inline BFloat16 operator*(int a, BFloat16 b) {
+  return static_cast<BFloat16>(a) * b;
+}
+inline BFloat16 operator/(int a, BFloat16 b) {
+  return static_cast<BFloat16>(a) / b;
+}
+
+//// Arithmetic with int64_t
+
+inline BFloat16 operator+(BFloat16 a, int64_t b) {
+  return a + static_cast<BFloat16>(b);
+}
+inline BFloat16 operator-(BFloat16 a, int64_t b) {
+  return a - static_cast<BFloat16>(b);
+}
+inline BFloat16 operator*(BFloat16 a, int64_t b) {
+  return a * static_cast<BFloat16>(b);
+}
+inline BFloat16 operator/(BFloat16 a, int64_t b) {
+  return a / static_cast<BFloat16>(b);
+}
+
+inline BFloat16 operator+(int64_t a, BFloat16 b) {
+  return static_cast<BFloat16>(a) + b;
+}
+inline BFloat16 operator-(int64_t a, BFloat16 b) {
+  return static_cast<BFloat16>(a) - b;
+}
+inline BFloat16 operator*(int64_t a, BFloat16 b) {
+  return static_cast<BFloat16>(a) * b;
+}
+inline BFloat16 operator/(int64_t a, BFloat16 b) {
+  return static_cast<BFloat16>(a) / b;
+}
+
+// Overloading < and > operators, because std::max and std::min use them.
+
+inline bool operator>(BFloat16& lhs, BFloat16& rhs) {
+  return float(lhs) > float(rhs);
+}
+
+inline bool operator<(BFloat16& lhs, BFloat16& rhs) {
+  return float(lhs) < float(rhs);
+}
+
 } // namespace executor
 } // namespace torch
+
+namespace std {
+
+template <>
+class numeric_limits<torch::executor::BFloat16> {
+ public:
+  static constexpr bool is_signed = true;
+  static constexpr bool is_specialized = true;
+  static constexpr bool is_integer = false;
+  static constexpr bool is_exact = false;
+  static constexpr bool has_infinity = true;
+  static constexpr bool has_quiet_NaN = true;
+  static constexpr bool has_signaling_NaN = true;
+  static constexpr auto has_denorm = numeric_limits<float>::has_denorm;
+  static constexpr auto has_denorm_loss =
+      numeric_limits<float>::has_denorm_loss;
+  static constexpr auto round_style = numeric_limits<float>::round_style;
+  static constexpr bool is_iec559 = false;
+  static constexpr bool is_bounded = true;
+  static constexpr bool is_modulo = false;
+  static constexpr int digits = 8;
+  static constexpr int digits10 = 2;
+  static constexpr int max_digits10 = 4;
+  static constexpr int radix = 2;
+  static constexpr int min_exponent = -125;
+  static constexpr int min_exponent10 = -37;
+  static constexpr int max_exponent = 128;
+  static constexpr int max_exponent10 = 38;
+  static constexpr auto traps = numeric_limits<float>::traps;
+  static constexpr auto tinyness_before =
+      numeric_limits<float>::tinyness_before;
+
+  static constexpr torch::executor::BFloat16 min() {
+    return torch::executor::BFloat16(
+        0x0080, torch::executor::BFloat16::from_bits());
+  }
+  static constexpr torch::executor::BFloat16 lowest() {
+    return torch::executor::BFloat16(
+        0xFF7F, torch::executor::BFloat16::from_bits());
+  }
+  static constexpr torch::executor::BFloat16 max() {
+    return torch::executor::BFloat16(
+        0x7F7F, torch::executor::BFloat16::from_bits());
+  }
+  static constexpr torch::executor::BFloat16 epsilon() {
+    return torch::executor::BFloat16(
+        0x3C00, torch::executor::BFloat16::from_bits());
+  }
+  static constexpr torch::executor::BFloat16 round_error() {
+    return torch::executor::BFloat16(
+        0x3F00, torch::executor::BFloat16::from_bits());
+  }
+  static constexpr torch::executor::BFloat16 infinity() {
+    return torch::executor::BFloat16(
+        0x7F80, torch::executor::BFloat16::from_bits());
+  }
+  static constexpr torch::executor::BFloat16 quiet_NaN() {
+    return torch::executor::BFloat16(
+        0x7FC0, torch::executor::BFloat16::from_bits());
+  }
+  static constexpr torch::executor::BFloat16 signaling_NaN() {
+    return torch::executor::BFloat16(
+        0x7F80, torch::executor::BFloat16::from_bits());
+  }
+  static constexpr torch::executor::BFloat16 denorm_min() {
+    return torch::executor::BFloat16(
+        0x0001, torch::executor::BFloat16::from_bits());
+  }
+};
+
+} // namespace std
diff --git a/runtime/core/portable_type/bfloat16_math.h b/runtime/core/portable_type/bfloat16_math.h
new file mode 100644
index 0000000000..68ee77cf34
--- /dev/null
+++ b/runtime/core/portable_type/bfloat16_math.h
@@ -0,0 +1,290 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <executorch/runtime/core/portable_type/bfloat16.h>
+#include <executorch/runtime/core/portable_type/half.h>
+
+namespace std {
+
+template <typename T>
+struct is_reduced_floating_point
+    : std::integral_constant<
+          bool,
+          std::is_same<T, torch::executor::BFloat16>::value ||
+              std::is_same<T, torch::executor::Half>::value> {};
+
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T acos(T a) {
+  return std::acos(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T asin(T a) {
+  return std::asin(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T atan(T a) {
+  return std::atan(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T atanh(T a) {
+  return std::atanh(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T erf(T a) {
+  return std::erf(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T erfc(T a) {
+  return std::erfc(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T exp(T a) {
+  return std::exp(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T expm1(T a) {
+  return std::expm1(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline bool isfinite(T a) {
+  return std::isfinite(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T log(T a) {
+  return std::log(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T log10(T a) {
+  return std::log10(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T log1p(T a) {
+  return std::log1p(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T log2(T a) {
+  return std::log2(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T ceil(T a) {
+  return std::ceil(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T cos(T a) {
+  return std::cos(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T floor(T a) {
+  return std::floor(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T nearbyint(T a) {
+  return std::nearbyint(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T sin(T a) {
+  return std::sin(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T tan(T a) {
+  return std::tan(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T sinh(T a) {
+  return std::sinh(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T cosh(T a) {
+  return std::cosh(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T tanh(T a) {
+  return std::tanh(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T trunc(T a) {
+  return std::trunc(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T lgamma(T a) {
+  return std::lgamma(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T sqrt(T a) {
+  return std::sqrt(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T rsqrt(T a) {
+  return 1.0 / std::sqrt(float(a));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T abs(T a) {
+  return std::abs(float(a));
+}
+#if defined(_MSC_VER) && defined(__CUDACC__)
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T pow(T a, double b) {
+  return std::pow(float(a), float(b));
+}
+#else
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T pow(T a, double b) {
+  return std::pow(float(a), b);
+}
+#endif
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T pow(T a, T b) {
+  return std::pow(float(a), float(b));
+}
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T fmod(T a, T b) {
+  return std::fmod(float(a), float(b));
+}
+
+/*
+  The following function is inspired from the implementation in `musl`
+  Link to License: https://git.musl-libc.org/cgit/musl/tree/COPYRIGHT
+  ----------------------------------------------------------------------
+  Copyright © 2005-2020 Rich Felker, et al.
+
+  Permission is hereby granted, free of charge, to any person obtaining
+  a copy of this software and associated documentation files (the
+  "Software"), to deal in the Software without restriction, including
+  without limitation the rights to use, copy, modify, merge, publish,
+  distribute, sublicense, and/or sell copies of the Software, and to
+  permit persons to whom the Software is furnished to do so, subject to
+  the following conditions:
+
+  The above copyright notice and this permission notice shall be
+  included in all copies or substantial portions of the Software.
+
+  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+  EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+  MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
+  IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
+  CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
+  TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
+  SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+  ----------------------------------------------------------------------
+ */
+template <
+    typename T,
+    typename std::enable_if<is_reduced_floating_point<T>::value, int>::type = 0>
+inline T nextafter(T from, T to) {
+  // Reference:
+  // https://git.musl-libc.org/cgit/musl/tree/src/math/nextafter.c
+  using int_repr_t = uint16_t;
+  constexpr uint8_t bits = 16;
+  union {
+    T f;
+    int_repr_t i;
+  } ufrom = {from}, uto = {to};
+
+  // get a mask to get the sign bit i.e. MSB
+  int_repr_t sign_mask = int_repr_t{1} << (bits - 1);
+
+  // short-circuit: if either is NaN, return NaN
+  if (from != from || to != to) {
+    return from + to;
+  }
+
+  // short-circuit: if they are exactly the same.
+  if (ufrom.i == uto.i) {
+    return from;
+  }
+
+  // mask the sign-bit to zero i.e. positive
+  // equivalent to abs(x)
+  int_repr_t abs_from = ufrom.i & ~sign_mask;
+  int_repr_t abs_to = uto.i & ~sign_mask;
+  if (abs_from == 0) {
+    // if both are zero but with different sign,
+    // preserve the sign of `to`.
+    if (abs_to == 0) {
+      return to;
+    }
+    // smallest subnormal with sign of `to`.
+    ufrom.i = (uto.i & sign_mask) | int_repr_t{1};
+    return ufrom.f;
+  }
+
+  // if abs(from) > abs(to) or sign(from) != sign(to)
+  if (abs_from > abs_to || ((ufrom.i ^ uto.i) & sign_mask)) {
+    ufrom.i--;
+  } else {
+    ufrom.i++;
+  }
+
+  return ufrom.f;
+}
+
+} // namespace std
diff --git a/runtime/core/portable_type/half.h b/runtime/core/portable_type/half.h
index 5aded68270..8987d82804 100644
--- a/runtime/core/portable_type/half.h
+++ b/runtime/core/portable_type/half.h
@@ -62,7 +62,7 @@ struct alignas(2) Half {
 namespace internal {
 
 inline float fp32_from_bits(uint32_t w) {
-  static_assert(sizeof(float) == sizeof(uint32_t), "");
+  static_assert(sizeof(float) == sizeof(uint32_t));
   union {
     uint32_t as_bits;
     float as_value;
@@ -71,7 +71,7 @@ inline float fp32_from_bits(uint32_t w) {
 }
 
 inline uint32_t fp32_to_bits(float f) {
-  static_assert(sizeof(float) == sizeof(uint32_t), "");
+  static_assert(sizeof(float) == sizeof(uint32_t));
   union {
     float as_value;
     uint32_t as_bits;
diff --git a/runtime/core/portable_type/scalar.h b/runtime/core/portable_type/scalar.h
index 2619f9e261..1147fee7cc 100644
--- a/runtime/core/portable_type/scalar.h
+++ b/runtime/core/portable_type/scalar.h
@@ -8,6 +8,8 @@
 
 #pragma once
 
+#include <executorch/runtime/core/portable_type/bfloat16.h>
+#include <executorch/runtime/core/portable_type/half.h>
 #include <executorch/runtime/core/tag.h>
 #include <executorch/runtime/platform/assert.h>
 
@@ -39,6 +41,8 @@ class Scalar {
   /*implicit*/ Scalar(double val) : tag(Tag::Double) {
     v.as_double = val;
   }
+  /*implicit*/ Scalar(BFloat16 val) : Scalar((double)(float)val) {}
+  /*implicit*/ Scalar(Half val) : Scalar((double)(float)val) {}
 
   /// Returns the concrete scalar value stored within.
   template <typename T>
diff --git a/runtime/core/portable_type/string_view.h b/runtime/core/portable_type/string_view.h
index 4036539ccc..47a9f335eb 100644
--- a/runtime/core/portable_type/string_view.h
+++ b/runtime/core/portable_type/string_view.h
@@ -79,13 +79,10 @@ class basic_string_view final {
   }
 
   constexpr const_reference at(size_type pos) const {
-    return (pos >= size_)
-        ? (ET_ASSERT_MESSAGE_EMIT(
-               " (%s): "
-               "string_view::operator[] or string_view::at() out of range",
-               pos >= size_),
-           torch::executor::runtime_abort())
-        : at_(pos);
+    ET_CHECK_MSG(
+        pos >= size_,
+        "string_view::operator[] or string_view::at() out of range");
+    return at_(pos);
   }
 
   constexpr const_reference front() const {
@@ -140,13 +137,9 @@ class basic_string_view final {
 
   constexpr basic_string_view substr(size_type pos = 0, size_type count = npos)
       const {
-    return (pos > size_)
-        ? (ET_ASSERT_MESSAGE_EMIT(
-               " (%s): "
-               "basic_string_view::substr parameter out of bounds.",
-               pos > size_),
-           torch::executor::runtime_abort())
-        : substr_(pos, count);
+    ET_CHECK_MSG(
+        pos > size_, "basic_string_view::substr parameter out of bounds.");
+    return substr_(pos, count);
   }
 
   constexpr int compare(basic_string_view rhs) const noexcept {
diff --git a/runtime/core/portable_type/targets.bzl b/runtime/core/portable_type/targets.bzl
index 0d65ef36b8..b8ccbe602e 100644
--- a/runtime/core/portable_type/targets.bzl
+++ b/runtime/core/portable_type/targets.bzl
@@ -43,6 +43,7 @@ def define_common_targets():
         name = "scalar_type",
         exported_headers = [
             "bfloat16.h",
+            "bfloat16_math.h",
             "complex.h",
             "half.h",
             "scalar_type.h",
diff --git a/runtime/core/portable_type/tensor.h b/runtime/core/portable_type/tensor.h
index b8c9d0c1fc..fb42e83710 100644
--- a/runtime/core/portable_type/tensor.h
+++ b/runtime/core/portable_type/tensor.h
@@ -9,7 +9,6 @@
 #pragma once
 
 #include <executorch/runtime/platform/compiler.h>
-#include <sys/types.h> // TODO(T126923429): Include size_t, ssize_t
 
 #include <executorch/runtime/core/portable_type/tensor_impl.h>
 
@@ -86,6 +85,10 @@ class Tensor {
     return impl_->scalar_type();
   }
 
+  inline ScalarType dtype() const {
+    return scalar_type();
+  }
+
   /// Returns the size in bytes of one element of the tensor.
   ssize_t element_size() const {
     return impl_->element_size();
@@ -106,6 +109,11 @@ class Tensor {
     return impl_->strides();
   }
 
+  /// Returns the mutability of the shape of the tensor.
+  TensorShapeDynamism shape_dynamism() const {
+    return impl_->shape_dynamism();
+  }
+
   /// Returns a pointer of type T to the constant underlying data blob.
   template <typename T>
   inline const T* const_data_ptr() const {
@@ -130,12 +138,12 @@ class Tensor {
 
   /// DEPRECATED: Use const_data_ptr or mutable_data_ptr instead.
   template <typename T>
-  __ET_DEPRECATED inline T* data_ptr() const {
+  ET_DEPRECATED inline T* data_ptr() const {
     return impl_->mutable_data<T>();
   }
 
   /// DEPRECATED: Use const_data_ptr or mutable_data_ptr instead.
-  __ET_DEPRECATED inline void* data_ptr() const {
+  ET_DEPRECATED inline void* data_ptr() const {
     return impl_->mutable_data();
   }
 
@@ -145,7 +153,7 @@ class Tensor {
    * ptr. This api does not exist in at::Tensor so kernel developers should
    * avoid it.
    */
-  __ET_DEPRECATED void set_data(void* ptr) const {
+  ET_DEPRECATED void set_data(void* ptr) const {
     impl_->set_data(ptr);
   }
 
diff --git a/runtime/core/portable_type/tensor_impl.cpp b/runtime/core/portable_type/tensor_impl.cpp
index a42031b660..ad0fa5868c 100644
--- a/runtime/core/portable_type/tensor_impl.cpp
+++ b/runtime/core/portable_type/tensor_impl.cpp
@@ -8,8 +8,8 @@
 
 #include <executorch/runtime/core/portable_type/tensor_impl.h>
 
+#include <algorithm>
 #include <cstdint>
-#include <cstring> // std::memcpy
 
 #include <executorch/runtime/core/exec_aten/util/dim_order_util.h>
 #include <executorch/runtime/core/exec_aten/util/scalar_type_util.h>
@@ -20,18 +20,24 @@
 namespace torch {
 namespace executor {
 
-namespace {
 /**
  * Compute the number of elements based on the sizes of a tensor.
  */
 ssize_t compute_numel(const TensorImpl::SizesType* sizes, ssize_t dim) {
-  ssize_t n = 1;
-  for (ssize_t i = 0; i < dim; i++) {
-    n *= sizes[i];
+  ET_CHECK_MSG(
+      dim == 0 || sizes != nullptr,
+      "Sizes must be provided for non-scalar tensors");
+  ssize_t numel = 1; // Zero-dimensional tensors (scalars) have numel == 1.
+  for (ssize_t i = 0; i < dim; ++i) {
+    ET_CHECK_MSG(
+        sizes[i] >= 0,
+        "Size must be non-negative, got %d at dimension %zd",
+        sizes[i],
+        i);
+    numel *= sizes[i];
   }
-  return n;
+  return numel;
 }
-} // namespace
 
 TensorImpl::TensorImpl(
     ScalarType type,
@@ -47,9 +53,13 @@ TensorImpl::TensorImpl(
       data_(data),
       dim_(dim),
       numel_(compute_numel(sizes, dim)),
-      capacity_(numel_ * elementSize(type)),
+      numel_bound_(numel_),
       type_(type),
-      shape_dynamism_(dynamism) {}
+      shape_dynamism_(dynamism) {
+  ET_CHECK_MSG(
+      isValid(type_), "Invalid type %" PRId8, static_cast<int8_t>(type_));
+  ET_CHECK_MSG(dim_ >= 0, "Dimension must be non-negative, got %zd", dim_);
+}
 
 size_t TensorImpl::nbytes() const {
   return numel_ * elementSize(type_);
@@ -64,7 +74,7 @@ Error TensorImpl::internal_resize_contiguous(ArrayRef<SizesType> new_sizes) {
   ET_CHECK_OR_RETURN_ERROR(
       new_sizes.size() == dim_,
       NotSupported,
-      "ETensor rank is immutable old: %zu new: %zu",
+      "Attempted to change the tensor rank which is immutable: old=%zu, new=%zu",
       dim_,
       new_sizes.size());
 
@@ -79,58 +89,33 @@ Error TensorImpl::internal_resize_contiguous(ArrayRef<SizesType> new_sizes) {
   if (dim_ == 0) {
     return Error::Ok;
   }
-
-  // Can only resize a StaticShape Tensor to the same size
-  if (shape_dynamism_ == TensorShapeDynamism::STATIC) {
-    for (int i = 0; i < new_sizes.size(); i++) {
+  switch (shape_dynamism_) {
+    case TensorShapeDynamism::STATIC:
+      ET_CHECK_OR_RETURN_ERROR(
+          std::equal(sizes_, sizes_ + dim_, new_sizes.begin()),
+          NotSupported,
+          "Attempted to resize a static tensor");
+      break;
+    case TensorShapeDynamism::DYNAMIC_BOUND:
+      // TODO(T175194371): Unbounded dynamic tensor resizing is not yet
+      // supported: treat them as upper-bounded.
+    case TensorShapeDynamism::DYNAMIC_UNBOUND: {
+      const auto new_numel = compute_numel(new_sizes.data(), dim_);
       ET_CHECK_OR_RETURN_ERROR(
-          new_sizes[i] == sizes_[i],
+          new_numel <= numel_bound_,
           NotSupported,
-          "Attempted to resize a static tensor to a new shape at "
-          "dimension %d old_size: %d new_size: %d",
-          i,
-          sizes_[i],
-          new_sizes[i]);
+          "Attempted to resize a bounded tensor with capacity of %zu elements to %zu elements.",
+          new_numel,
+          numel_bound_);
+
+      if (strides_ && dim_order_) {
+        ET_CHECK_OK_OR_RETURN_ERROR(
+            dim_order_to_stride(new_sizes.data(), dim_order_, dim_, strides_));
+      }
+      numel_ = new_numel;
+      std::copy(new_sizes.begin(), new_sizes.end(), sizes_);
     }
-    // no work to do after checking for error
-    return Error::Ok;
-  }
-
-  auto new_numel = compute_numel(new_sizes.data(), dim_);
-
-  // Upper bounded tensors can be reshaped but not beyond upper bound
-  if (shape_dynamism_ == TensorShapeDynamism::DYNAMIC_BOUND ||
-      // TODO(T175194371): Unbounded tensor resizing is not yet supported: treat
-      // them as upper-bounded.
-      shape_dynamism_ == TensorShapeDynamism::DYNAMIC_UNBOUND) {
-    auto new_nbytes = new_numel * elementSize(type_);
-    ET_CHECK_OR_RETURN_ERROR(
-        new_nbytes <= capacity_,
-        NotSupported,
-        "Attempted to resize a tensor with dynamism %d "
-        "to %zu which is beyond its capacity %zu",
-        (int)shape_dynamism_,
-        new_nbytes,
-        capacity_);
   }
-
-  // Copy sizes over
-  std::memcpy(sizes_, new_sizes.data(), sizeof(SizesType) * dim_);
-
-  // Compute new strides
-  ET_CHECK_OR_RETURN_ERROR(
-      strides_ != nullptr, Internal, "Strides cannot be nullptr for resize");
-  ET_CHECK_OR_RETURN_ERROR(
-      dim_order_ != nullptr,
-      Internal,
-      "Dim order cannot be nullptr for resize");
-  auto status = dim_order_to_stride(sizes_, dim_order_, dim_, strides_);
-  ET_CHECK_OR_RETURN_ERROR(
-      status == Error::Ok,
-      Internal,
-      "dim_order_to_stride returned invalid status");
-  numel_ = new_numel;
-
   return Error::Ok;
 }
 
diff --git a/runtime/core/portable_type/tensor_impl.h b/runtime/core/portable_type/tensor_impl.h
index 04f8ca13d0..c48149cd18 100644
--- a/runtime/core/portable_type/tensor_impl.h
+++ b/runtime/core/portable_type/tensor_impl.h
@@ -8,22 +8,24 @@
 
 #pragma once
 
-#include <sys/types.h> // TODO(T126923429): Include size_t, ssize_t
-
 #include <executorch/runtime/core/array_ref.h>
 #include <executorch/runtime/core/error.h>
 #include <executorch/runtime/core/portable_type/scalar_type.h>
 #include <executorch/runtime/core/tensor_shape_dynamism.h>
 
-namespace torch {
-namespace executor {
-
 // Forward declaration of a helper that provides access to internal resizing
 // methods of TensorImpl. Real definition is in
 // executorch/runtime/core/exec_aten/tensor_util.h.
+namespace executorch {
+namespace runtime {
 namespace internal {
 class TensorResizerFriend;
 } // namespace internal
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
 
 /**
  * Manages the storage behind an ETensor (torch::executor::Tensor).
@@ -146,6 +148,10 @@ class TensorImpl {
     return type_;
   }
 
+  inline ScalarType dtype() const {
+    return scalar_type();
+  }
+
   /// Returns the size in bytes of one element of the tensor.
   ssize_t element_size() const;
 
@@ -164,6 +170,11 @@ class TensorImpl {
     return ArrayRef<StridesType>{strides_, static_cast<size_t>(dim_)};
   }
 
+  /// Returns the mutability of the shape of the tensor.
+  TensorShapeDynamism shape_dynamism() const {
+    return shape_dynamism_;
+  }
+
   /// Returns a pointer of type T to the constant underlying data blob.
   template <typename T>
   inline const T* data() const {
@@ -195,7 +206,7 @@ class TensorImpl {
    * DEPRECATED: Use torch::executor::resize_tensor() or
    * torch::executor::resize_tensor_impl().
    */
-  __ET_DEPRECATED
+  ET_DEPRECATED
   void set_sizes_contiguous(ArrayRef<SizesType> new_sizes) {
     Error err = internal_resize_contiguous(new_sizes);
     ET_CHECK_MSG(
@@ -204,7 +215,7 @@ class TensorImpl {
 
  private:
   // For access to internal_resize_contiguous().
-  friend class internal::TensorResizerFriend;
+  friend class ::executorch::runtime::internal::TensorResizerFriend;
 
   /**
    * Set the sizes and strides of a tensor assuming contiguous strides.
@@ -217,8 +228,7 @@ class TensorImpl {
    * error instead of panicking on failure. This is not part of the at::Tensor
    * API, and can only be used in lean mode.
    */
-  __ET_NODISCARD Error
-  internal_resize_contiguous(ArrayRef<SizesType> new_sizes);
+  ET_NODISCARD Error internal_resize_contiguous(ArrayRef<SizesType> new_sizes);
 
  private:
   // Keep fields arranged to avoid unnecessary alignment holes.
@@ -241,8 +251,9 @@ class TensorImpl {
   /// Number of elements in the tensor.
   ssize_t numel_;
 
-  /// Underlying capacity of data_ in bytes. Used when resizing up and down.
-  size_t capacity_;
+  /// Maximum number of elements in the bounded tensor. Used when resizing up
+  /// and down.
+  size_t numel_bound_;
 
   /// Scalar type (int, float, bool, etc) of the tensor data.
   const ScalarType type_;
@@ -251,5 +262,20 @@ class TensorImpl {
   const TensorShapeDynamism shape_dynamism_;
 };
 
+/**
+ * Compute the number of elements based on the sizes of a tensor.
+ */
+ssize_t compute_numel(
+    const ::torch::executor::TensorImpl::SizesType* sizes,
+    ssize_t dim);
+
 } // namespace executor
 } // namespace torch
+
+namespace executorch {
+namespace runtime {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using torch::executor::compute_numel;
+} // namespace runtime
+} // namespace executorch
diff --git a/runtime/core/portable_type/test/CMakeLists.txt b/runtime/core/portable_type/test/CMakeLists.txt
index 73d877d68b..58a69f656e 100644
--- a/runtime/core/portable_type/test/CMakeLists.txt
+++ b/runtime/core/portable_type/test/CMakeLists.txt
@@ -23,8 +23,8 @@ set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../../../..)
 
 include(${EXECUTORCH_ROOT}/build/Test.cmake)
 
-set(_test_srcs optional_test.cpp executor_tensor_test.cpp half_test.cpp
-               scalar_test.cpp tensor_impl_test.cpp
+set(_test_srcs optional_test.cpp tensor_test.cpp half_test.cpp scalar_test.cpp
+               tensor_impl_test.cpp bfloat16_test.cpp
 )
 
 et_cxx_test(runtime_core_portable_type_test SOURCES ${_test_srcs} EXTRA_LIBS)
diff --git a/runtime/core/portable_type/test/bfloat16_test.cpp b/runtime/core/portable_type/test/bfloat16_test.cpp
new file mode 100644
index 0000000000..9ea53e6cba
--- /dev/null
+++ b/runtime/core/portable_type/test/bfloat16_test.cpp
@@ -0,0 +1,191 @@
+#include <executorch/runtime/core/portable_type/bfloat16.h>
+
+#include <gtest/gtest.h>
+
+using torch::executor::BFloat16;
+
+namespace {
+float float_from_bytes(uint32_t sign, uint32_t exponent, uint32_t fraction) {
+  // NOLINTNEXTLINE(cppcoreguidelines-init-variables)
+  uint32_t bytes;
+  bytes = 0;
+  bytes |= sign;
+  bytes <<= 8;
+  bytes |= exponent;
+  bytes <<= 23;
+  bytes |= fraction;
+
+  // NOLINTNEXTLINE(cppcoreguidelines-init-variables)
+  float res;
+  std::memcpy(&res, &bytes, sizeof(res));
+  return res;
+}
+
+TEST(BFloat16Conversion, FloatToBFloat16AndBack) {
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-c-arrays,cppcoreguidelines-avoid-magic-numbers,modernize-avoid-c-arrays)
+  float in[100];
+  for (int i = 0; i < 100; ++i) {
+    // NOLINTNEXTLINE(bugprone-narrowing-conversions,cppcoreguidelines-narrowing-conversions,cppcoreguidelines-avoid-magic-numbers)
+    in[i] = i + 1.25;
+  }
+
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-c-arrays,cppcoreguidelines-avoid-magic-numbers,modernize-avoid-c-arrays)
+  BFloat16 bfloats[100];
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-c-arrays,cppcoreguidelines-avoid-magic-numbers,modernize-avoid-c-arrays)
+  float out[100];
+
+  for (int i = 0; i < 100; ++i) {
+    bfloats[i].x = torch::executor::internal::bits_from_f32(in[i]);
+    out[i] = torch::executor::internal::f32_from_bits(bfloats[i].x);
+
+    // The relative error should be less than 1/(2^7) since BFloat16
+    // has 7 bits mantissa.
+    EXPECT_LE(std::fabs(out[i] - in[i]) / in[i], 1.0 / 128);
+  }
+}
+
+TEST(BFloat16Conversion, FloatToBFloat16RNEAndBack) {
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-c-arrays,cppcoreguidelines-avoid-magic-numbers,modernize-avoid-c-arrays)
+  float in[100];
+  for (int i = 0; i < 100; ++i) {
+    // NOLINTNEXTLINE(bugprone-narrowing-conversions,cppcoreguidelines-narrowing-conversions,cppcoreguidelines-avoid-magic-numbers)
+    in[i] = i + 1.25;
+  }
+
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-c-arrays,cppcoreguidelines-avoid-magic-numbers,modernize-avoid-c-arrays)
+  BFloat16 bfloats[100];
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-c-arrays,cppcoreguidelines-avoid-magic-numbers,modernize-avoid-c-arrays)
+  float out[100];
+
+  for (int i = 0; i < 100; ++i) {
+    bfloats[i].x = torch::executor::internal::round_to_nearest_even(in[i]);
+    out[i] = torch::executor::internal::f32_from_bits(bfloats[i].x);
+
+    // The relative error should be less than 1/(2^7) since BFloat16
+    // has 7 bits mantissa.
+    EXPECT_LE(std::fabs(out[i] - in[i]) / in[i], 1.0 / 128);
+  }
+}
+
+TEST(BFloat16Conversion, NaN) {
+  float inNaN = float_from_bytes(0, 0xFF, 0x7FFFFF);
+  EXPECT_TRUE(std::isnan(inNaN));
+
+  BFloat16 a = BFloat16(inNaN);
+  float out = torch::executor::internal::f32_from_bits(a.x);
+
+  EXPECT_TRUE(std::isnan(out));
+}
+
+TEST(BFloat16Conversion, Inf) {
+  float inInf = float_from_bytes(0, 0xFF, 0);
+  EXPECT_TRUE(std::isinf(inInf));
+
+  BFloat16 a = BFloat16(inInf);
+  float out = torch::executor::internal::f32_from_bits(a.x);
+
+  EXPECT_TRUE(std::isinf(out));
+}
+
+TEST(BFloat16Conversion, SmallestDenormal) {
+  float in = std::numeric_limits<float>::denorm_min(); // The smallest non-zero
+                                                       // subnormal number
+  BFloat16 a = BFloat16(in);
+  float out = torch::executor::internal::f32_from_bits(a.x);
+
+  EXPECT_FLOAT_EQ(in, out);
+}
+
+TEST(BFloat16Math, Addition) {
+  // This test verifies that if only first 7 bits of float's mantissa are
+  // changed after addition, we should have no loss in precision.
+
+  // input bits
+  // S | Exponent | Mantissa
+  // 0 | 10000000 | 10010000000000000000000 = 3.125
+  float input = float_from_bytes(0, 0, 0x40480000);
+
+  // expected bits
+  // S | Exponent | Mantissa
+  // 0 | 10000001 | 10010000000000000000000 = 6.25
+  float expected = float_from_bytes(0, 0, 0x40c80000);
+
+  // NOLINTNEXTLINE(cppcoreguidelines-pro-type-member-init)
+  BFloat16 b;
+  b.x = torch::executor::internal::bits_from_f32(input);
+  b = b + b;
+
+  float res = torch::executor::internal::f32_from_bits(b.x);
+  EXPECT_EQ(res, expected);
+}
+
+TEST(BFloat16Math, Subtraction) {
+  // This test verifies that if only first 7 bits of float's mantissa are
+  // changed after subtraction, we should have no loss in precision.
+
+  // input bits
+  // S | Exponent | Mantissa
+  // 0 | 10000001 | 11101000000000000000000 = 7.625
+  float input = float_from_bytes(0, 0, 0x40f40000);
+
+  // expected bits
+  // S | Exponent | Mantissa
+  // 0 | 10000000 | 01010000000000000000000 = 2.625
+  float expected = float_from_bytes(0, 0, 0x40280000);
+
+  // NOLINTNEXTLINE(cppcoreguidelines-pro-type-member-init)
+  BFloat16 b;
+  b.x = torch::executor::internal::bits_from_f32(input);
+  b = b - 5;
+
+  float res = torch::executor::internal::f32_from_bits(b.x);
+  EXPECT_EQ(res, expected);
+}
+
+// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
+TEST(BFloat16Math, NextAfterZero) {
+  const BFloat16 zero{0};
+
+  auto check_nextafter = [](BFloat16 from, BFloat16 to, BFloat16 expected) {
+    BFloat16 actual = std::nextafter(from, to);
+    // Check for bitwise equality!
+    ASSERT_EQ(actual.x ^ expected.x, uint16_t{0});
+  };
+  check_nextafter(zero, zero, /*expected=*/zero);
+  check_nextafter(zero, -zero, /*expected=*/-zero);
+  check_nextafter(-zero, zero, /*expected=*/zero);
+  check_nextafter(-zero, -zero, /*expected=*/-zero);
+}
+
+float BinaryToFloat(uint32_t bytes) {
+  // NOLINTNEXTLINE(cppcoreguidelines-init-variables)
+  float res;
+  std::memcpy(&res, &bytes, sizeof(res));
+  return res;
+}
+
+struct BFloat16TestParam {
+  uint32_t input;
+  uint16_t rne;
+};
+
+class BFloat16Test : public ::testing::Test,
+                     public ::testing::WithParamInterface<BFloat16TestParam> {};
+
+TEST_P(BFloat16Test, BFloat16RNETest) {
+  float value = BinaryToFloat(GetParam().input);
+  uint16_t rounded = torch::executor::internal::round_to_nearest_even(value);
+  EXPECT_EQ(GetParam().rne, rounded);
+}
+
+INSTANTIATE_TEST_SUITE_P(
+    BFloat16TestInstantiation,
+    BFloat16Test,
+    ::testing::Values(
+        BFloat16TestParam{0x3F848000, 0x3F84},
+        BFloat16TestParam{0x3F848010, 0x3F85},
+        BFloat16TestParam{0x3F850000, 0x3F85},
+        BFloat16TestParam{0x3F858000, 0x3F86},
+        BFloat16TestParam{0x3FFF8000, 0x4000}));
+
+} // namespace
diff --git a/runtime/core/portable_type/test/executor_tensor_test.cpp b/runtime/core/portable_type/test/executor_tensor_test.cpp
deleted file mode 100644
index 944850ca8a..0000000000
--- a/runtime/core/portable_type/test/executor_tensor_test.cpp
+++ /dev/null
@@ -1,70 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#include <executorch/runtime/core/portable_type/tensor.h>
-#include <executorch/test/utils/DeathTest.h>
-#include <gtest/gtest.h>
-
-namespace torch {
-namespace executor {
-
-TEST(TensorTest, InvalidScalarType) {
-  TensorImpl::SizesType sizes[1] = {1};
-
-  // Undefined, which is sort of a special case since it's not part of the
-  // iteration macros but is still a part of the enum.
-  ET_EXPECT_DEATH({ TensorImpl y(ScalarType::Undefined, 1, sizes); }, "");
-
-  // Some out-of-range types, also demonstrating that NumOptions is not really a
-  // scalar type.
-  ET_EXPECT_DEATH({ TensorImpl y(ScalarType::NumOptions, 1, sizes); }, "");
-  ET_EXPECT_DEATH(
-      { TensorImpl y(static_cast<ScalarType>(127), 1, sizes); }, "");
-  ET_EXPECT_DEATH({ TensorImpl y(static_cast<ScalarType>(-1), 1, sizes); }, "");
-}
-
-TEST(TensorTest, SetData) {
-  TensorImpl::SizesType sizes[1] = {5};
-  TensorImpl::DimOrderType dim_order[1] = {0};
-  int32_t data[5] = {0, 0, 1, 0, 0};
-  auto a_impl = TensorImpl(ScalarType::Int, 1, sizes, data, dim_order, nullptr);
-  auto a = Tensor(&a_impl);
-  EXPECT_EQ(a.const_data_ptr(), data);
-  a.set_data(nullptr);
-  EXPECT_EQ(a.const_data_ptr(), nullptr);
-}
-
-TEST(TensorTest, Strides) {
-  TensorImpl::SizesType sizes[2] = {2, 2};
-  TensorImpl::DimOrderType dim_order[2] = {0, 1};
-  int32_t data[4] = {0, 0, 1, 1};
-  TensorImpl::StridesType strides[2] = {2, 1};
-  auto a_impl = TensorImpl(ScalarType::Int, 2, sizes, data, dim_order, strides);
-  Tensor a(&a_impl);
-
-  EXPECT_EQ(a_impl.scalar_type(), ScalarType::Int);
-  EXPECT_EQ(a.scalar_type(), ScalarType::Int);
-  EXPECT_EQ(a.const_data_ptr<int32_t>()[0], 0);
-  EXPECT_EQ(a.const_data_ptr<int32_t>()[0 + a.strides()[0]], 1);
-}
-
-TEST(TensorTest, ModifyDataOfConstTensor) {
-  TensorImpl::SizesType sizes[1] = {1};
-  TensorImpl::DimOrderType dim_order[2] = {0};
-  int32_t data[1] = {1};
-  auto a_impl = TensorImpl(ScalarType::Int, 1, sizes, data, dim_order);
-  const Tensor a(&a_impl);
-  a.mutable_data_ptr<int32_t>()[0] = 0;
-
-  EXPECT_EQ(a_impl.scalar_type(), ScalarType::Int);
-  EXPECT_EQ(a.scalar_type(), ScalarType::Int);
-  EXPECT_EQ(a.const_data_ptr<int32_t>()[0], 0);
-}
-
-} // namespace executor
-} // namespace torch
diff --git a/runtime/core/portable_type/test/targets.bzl b/runtime/core/portable_type/test/targets.bzl
index 15e002d451..c0b4ef00c7 100644
--- a/runtime/core/portable_type/test/targets.bzl
+++ b/runtime/core/portable_type/test/targets.bzl
@@ -6,6 +6,14 @@ def define_common_targets():
     The directory containing this targets.bzl file should also contain both
     TARGETS and BUCK files that call this function.
     """
+    runtime.cxx_test(
+        name = "bfloat16_test",
+        srcs = ["bfloat16_test.cpp"],
+        deps = [
+            "//executorch/runtime/core/portable_type:portable_type",
+        ],
+    )
+
     runtime.cxx_test(
         name = "optional_test",
         srcs = ["optional_test.cpp"],
@@ -15,8 +23,8 @@ def define_common_targets():
     )
 
     runtime.cxx_test(
-        name = "executor_tensor_test",
-        srcs = ["executor_tensor_test.cpp"],
+        name = "tensor_test",
+        srcs = ["tensor_test.cpp"],
         deps = [
             "//executorch/runtime/core/portable_type:portable_type",
         ],
diff --git a/runtime/core/portable_type/test/tensor_impl_test.cpp b/runtime/core/portable_type/test/tensor_impl_test.cpp
index e7e9d1fcf6..77dd01ea23 100644
--- a/runtime/core/portable_type/test/tensor_impl_test.cpp
+++ b/runtime/core/portable_type/test/tensor_impl_test.cpp
@@ -8,12 +8,13 @@
 
 #include <executorch/runtime/core/portable_type/tensor_impl.h>
 
-#include <executorch/runtime/core/exec_aten/util/tensor_util.h>
-#include <executorch/runtime/platform/runtime.h>
-
 #include <gtest/gtest.h>
 #include <random>
 
+#include <executorch/runtime/core/exec_aten/util/tensor_util.h>
+#include <executorch/runtime/platform/runtime.h>
+#include <executorch/test/utils/DeathTest.h>
+
 using namespace ::testing;
 
 namespace torch {
@@ -29,7 +30,7 @@ class TensorImplTest : public ::testing::Test {
   void SetUp() override {
     // Since these tests cause ET_LOG to be called, the PAL must be initialized
     // first.
-    torch::executor::runtime_init();
+    runtime_init();
   }
 };
 
@@ -267,6 +268,93 @@ TEST_F(TensorImplTest, TestSetSizesContigUnbounded) {
   EXPECT_NE(err, Error::Ok);
 }
 
+TEST_F(TensorImplTest, TestDynamicTensorNoStridesDimOrder) {
+  SizesType sizes[3] = {2, 3, 4};
+  float data[24] = {0};
+  TensorImpl t(
+      ScalarType::Float,
+      3,
+      sizes,
+      data,
+      nullptr,
+      nullptr,
+      TensorShapeDynamism::DYNAMIC_BOUND);
+
+  EXPECT_EQ(t.dim(), 3);
+  EXPECT_EQ(t.numel(), 24);
+  EXPECT_EQ(t.nbytes(), 24 * sizeof(float));
+
+  SizesType new_sizes[3] = {3, 2, 4};
+  Error err = resize_tensor_impl(&t, {new_sizes, 3});
+  EXPECT_EQ(err, Error::Ok);
+  EXPECT_EQ(t.dim(), 3);
+  EXPECT_EQ(t.size(0), 3);
+  EXPECT_EQ(t.size(1), 2);
+  EXPECT_EQ(t.size(2), 4);
+  EXPECT_EQ(t.numel(), 3 * 2 * 4);
+
+  const float* y = t.data<float>();
+  EXPECT_EQ(y, data);
+}
+
+TEST_F(TensorImplTest, TestDynamicTensorNoStridesDimOrderResizeDown) {
+  SizesType sizes[3] = {4, 4, 4};
+  float data[64] = {0};
+  TensorImpl t(
+      ScalarType::Float,
+      3,
+      sizes,
+      data,
+      nullptr,
+      nullptr,
+      TensorShapeDynamism::DYNAMIC_BOUND);
+
+  EXPECT_EQ(t.dim(), 3);
+  EXPECT_EQ(t.numel(), 64);
+  EXPECT_EQ(t.nbytes(), 64 * sizeof(float));
+
+  SizesType new_sizes[3] = {2, 2, 2};
+  Error err = resize_tensor_impl(&t, {new_sizes, 3});
+  EXPECT_EQ(err, Error::Ok);
+  EXPECT_EQ(t.dim(), 3);
+  EXPECT_EQ(t.size(0), 2);
+  EXPECT_EQ(t.size(1), 2);
+  EXPECT_EQ(t.size(2), 2);
+  EXPECT_EQ(t.numel(), 2 * 2 * 2);
+
+  const float* y = t.data<float>();
+  EXPECT_EQ(y, data);
+}
+
+TEST_F(TensorImplTest, TestDynamicTensorNoStridesDimOrderResizeZeroDim) {
+  SizesType sizes[3] = {4, 4, 4};
+  float data[64] = {0};
+  TensorImpl t(
+      ScalarType::Float,
+      3,
+      sizes,
+      data,
+      nullptr,
+      nullptr,
+      TensorShapeDynamism::DYNAMIC_BOUND);
+
+  EXPECT_EQ(t.dim(), 3);
+  EXPECT_EQ(t.numel(), 64);
+  EXPECT_EQ(t.nbytes(), 64 * sizeof(float));
+
+  SizesType new_sizes[3] = {0, 4, 4};
+  Error err = resize_tensor_impl(&t, {new_sizes, 3});
+  EXPECT_EQ(err, Error::Ok);
+  EXPECT_EQ(t.dim(), 3);
+  EXPECT_EQ(t.size(0), 0);
+  EXPECT_EQ(t.size(1), 4);
+  EXPECT_EQ(t.size(2), 4);
+  EXPECT_EQ(t.numel(), 0);
+
+  const float* y = t.data<float>();
+  EXPECT_EQ(y, data);
+}
+
 TEST_F(TensorImplTest, TestWriteRead) {
   SizesType sizes[1] = {1};
   DimOrderType dim_order[1] = {0};
@@ -283,5 +371,81 @@ TEST_F(TensorImplTest, TestWriteRead) {
   EXPECT_EQ(y[0], 22.0);
 }
 
+TEST_F(TensorImplTest, TestInvalidScalarType) {
+  SizesType sizes[2] = {3, 2};
+  ET_EXPECT_DEATH(TensorImpl t(static_cast<ScalarType>(-1), 2, sizes), "");
+}
+
+TEST_F(TensorImplTest, TestNegativeDimension) {
+  SizesType sizes[2] = {3, 2};
+  ET_EXPECT_DEATH(TensorImpl t(ScalarType::Float, -1, sizes), "");
+}
+
+TEST_F(TensorImplTest, TestNullSizesNonZeroDim) {
+  ET_EXPECT_DEATH(TensorImpl t(ScalarType::Float, 2, nullptr), "");
+}
+
+TEST_F(TensorImplTest, TestNonNegativeSizes) {
+  SizesType sizes[2] = {3, -2};
+  ET_EXPECT_DEATH(TensorImpl t(ScalarType::Float, 2, sizes), "");
+}
+
+TEST_F(TensorImplTest, TestEmptyTensor) {
+  SizesType sizes[2] = {0, 0};
+  TensorImpl t(ScalarType::Float, 2, sizes);
+  EXPECT_EQ(t.numel(), 0);
+  EXPECT_EQ(t.data(), nullptr);
+}
+
+TEST_F(TensorImplTest, TestTensorWithNoElementsButAllocatedMemory) {
+  SizesType sizes[2] = {0, 0};
+  float data[1] = {1.0};
+  TensorImpl t(ScalarType::Float, 2, sizes, data);
+  EXPECT_EQ(t.numel(), 0);
+  EXPECT_EQ(t.data(), data);
+}
+
+TEST_F(TensorImplTest, TestTensorWithShapeButNoMemory) {
+  SizesType sizes[2] = {3, 2};
+  TensorImpl t(ScalarType::Float, 2, sizes);
+  EXPECT_GT(t.numel(), 0);
+  EXPECT_EQ(t.data(), nullptr);
+}
+
+TEST_F(TensorImplTest, TestNormalTensor) {
+  SizesType sizes[2] = {3, 2};
+  float data[6] = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0};
+  TensorImpl t(ScalarType::Float, 2, sizes, data);
+  EXPECT_GT(t.numel(), 0);
+  EXPECT_EQ(t.data(), data);
+}
+
+TEST_F(TensorImplTest, TestResizingTensorToZeroAndBack) {
+  SizesType sizes[2] = {3, 2};
+  TensorImpl t(
+      ScalarType::Float,
+      2,
+      sizes,
+      nullptr,
+      nullptr,
+      nullptr,
+      TensorShapeDynamism::DYNAMIC_BOUND);
+
+  float data[6] = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0};
+  t.set_data(data);
+  EXPECT_GT(t.numel(), 0);
+  EXPECT_EQ(t.data(), data);
+
+  SizesType zero_sizes[2] = {0, 0};
+  t.set_sizes_contiguous({zero_sizes, 2});
+  EXPECT_EQ(t.numel(), 0);
+  EXPECT_EQ(t.data(), data);
+
+  SizesType new_sizes[2] = {3, 2};
+  t.set_sizes_contiguous({new_sizes, 2});
+  EXPECT_GT(t.numel(), 0);
+  EXPECT_EQ(t.data(), data);
+}
+
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/portable_type/test/tensor_test.cpp b/runtime/core/portable_type/test/tensor_test.cpp
new file mode 100644
index 0000000000..7a772cd076
--- /dev/null
+++ b/runtime/core/portable_type/test/tensor_test.cpp
@@ -0,0 +1,82 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/runtime/core/portable_type/tensor.h>
+
+#include <gtest/gtest.h>
+
+#include <executorch/runtime/platform/runtime.h>
+#include <executorch/test/utils/DeathTest.h>
+
+namespace torch {
+namespace executor {
+
+class TensorTest : public ::testing::Test {
+ protected:
+  void SetUp() override {
+    // Since these tests cause ET_LOG to be called, the PAL must be initialized
+    // first.
+    runtime_init();
+  }
+};
+
+TEST_F(TensorTest, InvalidScalarType) {
+  TensorImpl::SizesType sizes[1] = {1};
+
+  // Undefined, which is sort of a special case since it's not part of the
+  // iteration macros but is still a part of the enum.
+  ET_EXPECT_DEATH({ TensorImpl y(ScalarType::Undefined, 1, sizes); }, "");
+
+  // Some out-of-range types, also demonstrating that NumOptions is not really a
+  // scalar type.
+  ET_EXPECT_DEATH({ TensorImpl y(ScalarType::NumOptions, 1, sizes); }, "");
+  ET_EXPECT_DEATH(
+      { TensorImpl y(static_cast<ScalarType>(127), 1, sizes); }, "");
+  ET_EXPECT_DEATH({ TensorImpl y(static_cast<ScalarType>(-1), 1, sizes); }, "");
+}
+
+TEST_F(TensorTest, SetData) {
+  TensorImpl::SizesType sizes[1] = {5};
+  TensorImpl::DimOrderType dim_order[1] = {0};
+  int32_t data[5] = {0, 0, 1, 0, 0};
+  auto a_impl = TensorImpl(ScalarType::Int, 1, sizes, data, dim_order, nullptr);
+  auto a = Tensor(&a_impl);
+  EXPECT_EQ(a.const_data_ptr(), data);
+  a.set_data(nullptr);
+  EXPECT_EQ(a.const_data_ptr(), nullptr);
+}
+
+TEST_F(TensorTest, Strides) {
+  TensorImpl::SizesType sizes[2] = {2, 2};
+  TensorImpl::DimOrderType dim_order[2] = {0, 1};
+  int32_t data[4] = {0, 0, 1, 1};
+  TensorImpl::StridesType strides[2] = {2, 1};
+  auto a_impl = TensorImpl(ScalarType::Int, 2, sizes, data, dim_order, strides);
+  Tensor a(&a_impl);
+
+  EXPECT_EQ(a_impl.scalar_type(), ScalarType::Int);
+  EXPECT_EQ(a.scalar_type(), ScalarType::Int);
+  EXPECT_EQ(a.const_data_ptr<int32_t>()[0], 0);
+  EXPECT_EQ(a.const_data_ptr<int32_t>()[0 + a.strides()[0]], 1);
+}
+
+TEST_F(TensorTest, ModifyDataOfConstTensor) {
+  TensorImpl::SizesType sizes[1] = {1};
+  TensorImpl::DimOrderType dim_order[2] = {0};
+  int32_t data[1] = {1};
+  auto a_impl = TensorImpl(ScalarType::Int, 1, sizes, data, dim_order);
+  const Tensor a(&a_impl);
+  a.mutable_data_ptr<int32_t>()[0] = 0;
+
+  EXPECT_EQ(a_impl.scalar_type(), ScalarType::Int);
+  EXPECT_EQ(a.scalar_type(), ScalarType::Int);
+  EXPECT_EQ(a.const_data_ptr<int32_t>()[0], 0);
+}
+
+} // namespace executor
+} // namespace torch
diff --git a/runtime/core/result.h b/runtime/core/result.h
index b1fd6fea46..7b404bca94 100644
--- a/runtime/core/result.h
+++ b/runtime/core/result.h
@@ -19,8 +19,8 @@
 #include "executorch/runtime/core/error.h"
 #include "executorch/runtime/platform/assert.h"
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * Result type wrapping either a value of type T or an error.
@@ -92,7 +92,7 @@ class Result final {
    * If true, it is guaranteed that `error()` will return `Error::Ok`.
    * If false, it is guaranteed that `error()` will not return `Error::Ok`.
    */
-  __ET_NODISCARD bool ok() const {
+  ET_NODISCARD bool ok() const {
     return hasValue_;
   }
 
@@ -103,7 +103,7 @@ class Result final {
    * If this does not return `Error:Ok`, it is guaranteed that `ok()` will
    * return false.
    */
-  __ET_NODISCARD Error error() const {
+  ET_NODISCARD Error error() const {
     if (hasValue_) {
       return Error::Ok;
     } else {
@@ -198,6 +198,14 @@ T* Result<T>::operator->() {
   return &value_;
 }
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::Result;
 } // namespace executor
 } // namespace torch
 
diff --git a/runtime/core/span.h b/runtime/core/span.h
index c6dd76f710..b671f34095 100644
--- a/runtime/core/span.h
+++ b/runtime/core/span.h
@@ -12,8 +12,8 @@
 
 #include <executorch/runtime/platform/assert.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * Represent a reference to an array (0 or more elements
@@ -93,5 +93,13 @@ class Span final {
   size_type length_;
 };
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::Span;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/tag.h b/runtime/core/tag.h
index c81e9f58db..7dda80dd92 100644
--- a/runtime/core/tag.h
+++ b/runtime/core/tag.h
@@ -10,8 +10,9 @@
 
 #include <cstdint>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
+
 #define EXECUTORCH_FORALL_TAGS(_) \
   _(None)                         \
   _(Tensor)                       \
@@ -26,11 +27,22 @@ namespace executor {
   _(ListScalar)                   \
   _(ListOptionalTensor)
 
+/**
+ * The dynamic type of an EValue.
+ */
 enum class Tag : uint32_t {
 #define DEFINE_TAG(x) x,
   EXECUTORCH_FORALL_TAGS(DEFINE_TAG)
 #undef DEFINE_TAG
 };
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::Tag;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/targets.bzl b/runtime/core/targets.bzl
index 4978e73169..7e0aeb5d28 100644
--- a/runtime/core/targets.bzl
+++ b/runtime/core/targets.bzl
@@ -15,7 +15,7 @@ def build_sdk():
 def get_sdk_flags():
     sdk_flags = []
     if build_sdk():
-        sdk_flags += ["-DEXECUTORCH_BUILD_SDK"]
+        sdk_flags += ["-DEXECUTORCH_BUILD_DEVTOOLS"]
     return sdk_flags
 
 def define_common_targets():
diff --git a/runtime/core/tensor_shape_dynamism.h b/runtime/core/tensor_shape_dynamism.h
index 7e53473f5f..ee956288d7 100644
--- a/runtime/core/tensor_shape_dynamism.h
+++ b/runtime/core/tensor_shape_dynamism.h
@@ -10,30 +10,30 @@
 
 #include <cstdint>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
- * Rank can never change in executorch. But shape sometimes can.
- * This enum is used to help provide better safety in kernels on what
- * tensors are resizable
+ * The resizing capabilities of a Tensor.
  *
- * WARNING: This abstraction is only temporary. The long term vision is that
- * this wont exist in the runtime. Instead the runtime will support a debug mode
- * that allows for similar fail early patterns without having to pay the runtime
- * cost of directly embedding this abstraction in tensor and performing checks
- * against it during resizing. Adding this debug mode is non trivial though so
- * for the short term this abstraction helps us move fast. TODO(jakeszwe):
- * T134528146
+ * The rank of an ExecuTorch Tensors can never change, but shape sometimes can.
  */
 enum class TensorShapeDynamism : uint8_t {
-  /// Cannot change shape
+  /// Cannot change shape.
   STATIC = 0,
-  /// shape cannot exceed initial capacity
+  /// Shape cannot exceed initial capacity.
   DYNAMIC_BOUND = 1,
-  /// No restriction on shape and capacity
+  /// No restriction on shape and capacity.
   DYNAMIC_UNBOUND = 2,
 };
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::TensorShapeDynamism;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/core/test/array_ref_test.cpp b/runtime/core/test/array_ref_test.cpp
index 9a44ece1f3..7fb8ee26b4 100644
--- a/runtime/core/test/array_ref_test.cpp
+++ b/runtime/core/test/array_ref_test.cpp
@@ -11,9 +11,7 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-
-namespace torch {
-namespace executor {
+using executorch::runtime::ArrayRef;
 
 TEST(TestArrayRef, ImplicitTypeConversion) {
   ArrayRef<int64_t> oneElement_1 = {1};
@@ -22,6 +20,3 @@ TEST(TestArrayRef, ImplicitTypeConversion) {
   ArrayRef<int64_t> oneElement_2 = 1;
   EXPECT_EQ(oneElement_2.size(), 1);
 }
-
-} // namespace executor
-} // namespace torch
diff --git a/runtime/core/test/error_handling_test.cpp b/runtime/core/test/error_handling_test.cpp
index a6650b28e3..b6b5862398 100644
--- a/runtime/core/test/error_handling_test.cpp
+++ b/runtime/core/test/error_handling_test.cpp
@@ -15,7 +15,8 @@
 #include <executorch/runtime/core/result.h>
 #include <executorch/runtime/platform/runtime.h>
 
-using namespace torch::executor;
+using executorch::runtime::Error;
+using executorch::runtime::Result;
 
 static void* test_ptr = static_cast<void*>((uintptr_t*)0xDEADBEEF);
 
@@ -189,7 +190,7 @@ TEST(ErrorHandlingTest, ResultNoCopy) {
 }
 
 TEST(ErrorHandlingTest, ResultMove) {
-  torch::executor::runtime_init();
+  executorch::runtime::runtime_init();
 
   Result<Movable> res = Movable(2);
   ASSERT_TRUE(res.ok());
diff --git a/runtime/core/test/evalue_test.cpp b/runtime/core/test/evalue_test.cpp
index 055a39e1fc..4c08695dc4 100644
--- a/runtime/core/test/evalue_test.cpp
+++ b/runtime/core/test/evalue_test.cpp
@@ -6,21 +6,67 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#include <executorch/runtime/core/evalue.h>
+
 #include <gtest/gtest.h>
 
-#include <executorch/runtime/core/evalue.h>
-#include <executorch/runtime/core/exec_aten/exec_aten.h>
 #include <executorch/runtime/core/exec_aten/testing_util/tensor_factory.h>
+#include <executorch/runtime/platform/runtime.h>
 #include <executorch/test/utils/DeathTest.h>
 
 using namespace ::testing;
+
+namespace torch {
+namespace executor {
+
 using exec_aten::ScalarType;
-using torch::executor::BoxedEvalueList;
-using torch::executor::EValue;
-using torch::executor::Tag;
-using torch::executor::testing::TensorFactory;
+using executorch::runtime::BoxedEvalueList;
+using executorch::runtime::EValue;
+using executorch::runtime::Tag;
+using executorch::runtime::testing::TensorFactory;
+
+class EValueTest : public ::testing::Test {
+ protected:
+  void SetUp() override {
+    // Since these tests cause ET_LOG to be called, the PAL must be initialized
+    // first.
+    runtime_init();
+  }
+};
+
+// An utility class used in tests to simulate objects that manage Tensors.
+// The overloaded operator*() is used to return the underlying Tensor, mimicking
+// behavior of smart pointers.
+class TensorWrapper {
+ public:
+  explicit TensorWrapper(exec_aten::Tensor tensor)
+      : tensor_(std::make_unique<exec_aten::Tensor>(std::move(tensor))) {}
+
+  exec_aten::Tensor& operator*() {
+    return *tensor_;
+  }
+
+  const exec_aten::Tensor& operator*() const {
+    return *tensor_;
+  }
 
-TEST(TestEValue, CopyTrivialType) {
+  operator bool() const {
+    return static_cast<bool>(tensor_);
+  }
+
+  bool operator==(std::nullptr_t) const {
+    return tensor_ == nullptr;
+  }
+
+  bool operator!=(std::nullptr_t) const {
+    return tensor_ != nullptr;
+  }
+
+ private:
+  std::unique_ptr<exec_aten::Tensor> tensor_;
+};
+
+TEST_F(EValueTest, CopyTrivialType) {
   EValue a;
   EValue b(true);
   EXPECT_TRUE(a.isNone());
@@ -30,7 +76,7 @@ TEST(TestEValue, CopyTrivialType) {
   EXPECT_EQ(b.to<bool>(), true);
 }
 
-TEST(TestEValue, CopyTensor) {
+TEST_F(EValueTest, CopyTensor) {
   TensorFactory<ScalarType::Float> tf;
   EValue a(tf.ones({3, 2}));
   EValue b(tf.ones({1}));
@@ -39,7 +85,7 @@ TEST(TestEValue, CopyTensor) {
   EXPECT_EQ(a.toTensor().dim(), 1);
 }
 
-TEST(TestEValue, TypeMismatchFatals) {
+TEST_F(EValueTest, TypeMismatchFatals) {
   ET_EXPECT_DEATH(
       {
         auto e = EValue(true);
@@ -48,12 +94,12 @@ TEST(TestEValue, TypeMismatchFatals) {
       "");
 }
 
-TEST(TestEValue, NoneByDefault) {
+TEST_F(EValueTest, NoneByDefault) {
   EValue e;
   EXPECT_TRUE(e.isNone());
 }
 
-TEST(TestEValue, ToOptionalInt) {
+TEST_F(EValueTest, ToOptionalInt) {
   EValue e((int64_t)5);
   EXPECT_TRUE(e.isInt());
   EXPECT_FALSE(e.isNone());
@@ -63,7 +109,7 @@ TEST(TestEValue, ToOptionalInt) {
   EXPECT_EQ(o.value(), 5);
 }
 
-TEST(TestEValue, NoneToOptionalInt) {
+TEST_F(EValueTest, NoneToOptionalInt) {
   EValue e;
   EXPECT_TRUE(e.isNone());
 
@@ -71,7 +117,7 @@ TEST(TestEValue, NoneToOptionalInt) {
   EXPECT_FALSE(o.has_value());
 }
 
-TEST(TestEValue, ToOptionalScalar) {
+TEST_F(EValueTest, ToOptionalScalar) {
   exec_aten::Scalar s((double)3.141);
   EValue e(s);
   EXPECT_TRUE(e.isScalar());
@@ -83,7 +129,7 @@ TEST(TestEValue, ToOptionalScalar) {
   EXPECT_EQ(o.value().to<double>(), 3.141);
 }
 
-TEST(TESTEValue, ScalarToType) {
+TEST_F(EValueTest, ScalarToType) {
   exec_aten::Scalar s_d((double)3.141);
   EXPECT_EQ(s_d.to<double>(), 3.141);
   exec_aten::Scalar s_i((int64_t)3);
@@ -92,7 +138,7 @@ TEST(TESTEValue, ScalarToType) {
   EXPECT_EQ(s_b.to<bool>(), true);
 }
 
-TEST(TestEValue, NoneToOptionalScalar) {
+TEST_F(EValueTest, NoneToOptionalScalar) {
   EValue e;
   EXPECT_TRUE(e.isNone());
 
@@ -100,7 +146,7 @@ TEST(TestEValue, NoneToOptionalScalar) {
   EXPECT_FALSE(o.has_value());
 }
 
-TEST(TestEValue, NoneToOptionalTensor) {
+TEST_F(EValueTest, NoneToOptionalTensor) {
   EValue e;
   EXPECT_TRUE(e.isNone());
 
@@ -108,7 +154,7 @@ TEST(TestEValue, NoneToOptionalTensor) {
   EXPECT_FALSE(o.has_value());
 }
 
-TEST(TestEValue, ToScalarType) {
+TEST_F(EValueTest, ToScalarType) {
   EValue e((int64_t)4);
   auto o = e.toScalarType();
   EXPECT_EQ(o, exec_aten::ScalarType::Long);
@@ -118,7 +164,7 @@ TEST(TestEValue, ToScalarType) {
   EXPECT_EQ(o2.value(), exec_aten::ScalarType::Long);
 }
 
-TEST(TestEValue, toString) {
+TEST_F(EValueTest, toString) {
   const EValue e("foo", 3);
   EXPECT_TRUE(e.isString());
   EXPECT_FALSE(e.isNone());
@@ -127,28 +173,28 @@ TEST(TestEValue, toString) {
   EXPECT_EQ(x, "foo");
 }
 
-TEST(TestEValue, MemoryFormat) {
+TEST_F(EValueTest, MemoryFormat) {
   const EValue e((int64_t)0);
   EXPECT_TRUE(e.isInt());
   const exec_aten::MemoryFormat m = e.to<exec_aten::MemoryFormat>();
   EXPECT_EQ(m, exec_aten::MemoryFormat::Contiguous);
 }
 
-TEST(TestEValue, Layout) {
+TEST_F(EValueTest, Layout) {
   const EValue e((int64_t)0);
   EXPECT_TRUE(e.isInt());
   const exec_aten::Layout l = e.to<exec_aten::Layout>();
   EXPECT_EQ(l, exec_aten::Layout::Strided);
 }
 
-TEST(TestEValue, Device) {
+TEST_F(EValueTest, Device) {
   const EValue e((int64_t)0);
   EXPECT_TRUE(e.isInt());
   const exec_aten::Device d = e.to<exec_aten::Device>();
   EXPECT_TRUE(d.is_cpu());
 }
 
-TEST(TestEValue, BoxedEvalueList) {
+TEST_F(EValueTest, BoxedEvalueList) {
   // create fake values table to point to
   EValue values[3] = {
       EValue((int64_t)1), EValue((int64_t)2), EValue((int64_t)3)};
@@ -164,7 +210,7 @@ TEST(TestEValue, BoxedEvalueList) {
   EXPECT_EQ(unwrapped[2], 3);
 }
 
-TEST(TestEValue, toOptionalTensorList) {
+TEST_F(EValueTest, toOptionalTensorList) {
   // create list, empty evalue ctor gets tag::None
   EValue values[2] = {EValue(), EValue()};
   EValue* values_p[2] = {&values[0], &values[1]};
@@ -185,3 +231,51 @@ TEST(TestEValue, toOptionalTensorList) {
   EXPECT_FALSE(x[0].has_value());
   EXPECT_FALSE(x[1].has_value());
 }
+
+TEST_F(EValueTest, ConstructFromUniquePtr) {
+  TensorFactory<ScalarType::Float> tf;
+  auto tensor_ptr = std::make_unique<exec_aten::Tensor>(tf.ones({2, 3}));
+
+  EValue evalue(std::move(tensor_ptr));
+
+  EXPECT_TRUE(evalue.isTensor());
+  EXPECT_EQ(evalue.toTensor().dim(), 2);
+  EXPECT_EQ(evalue.toTensor().numel(), 6);
+
+  EValue evalue2(std::make_unique<exec_aten::Tensor>(tf.ones({4, 5})));
+
+  EXPECT_TRUE(evalue2.isTensor());
+  EXPECT_EQ(evalue2.toTensor().dim(), 2);
+  EXPECT_EQ(evalue2.toTensor().numel(), 20);
+}
+
+TEST_F(EValueTest, ConstructFromSharedPtr) {
+  TensorFactory<ScalarType::Float> tf;
+  auto tensor_ptr = std::make_shared<exec_aten::Tensor>(tf.ones({4, 5}));
+
+  EValue evalue(tensor_ptr);
+
+  EXPECT_TRUE(evalue.isTensor());
+  EXPECT_EQ(evalue.toTensor().dim(), 2);
+  EXPECT_EQ(evalue.toTensor().numel(), 20);
+}
+
+TEST_F(EValueTest, ConstructFromTensorWrapper) {
+  TensorFactory<ScalarType::Float> tf;
+  TensorWrapper tensor_wrapper(tf.ones({4, 5}));
+
+  EValue evalue(tensor_wrapper);
+
+  EXPECT_TRUE(evalue.isTensor());
+  EXPECT_EQ(evalue.toTensor().dim(), 2);
+  EXPECT_EQ(evalue.toTensor().numel(), 20);
+}
+
+TEST_F(EValueTest, ConstructFromNullPtrAborts) {
+  std::unique_ptr<exec_aten::Tensor> null_ptr;
+
+  ET_EXPECT_DEATH({ EValue evalue(null_ptr); }, "");
+}
+
+} // namespace executor
+} // namespace torch
diff --git a/runtime/core/test/event_tracer_test.cpp b/runtime/core/test/event_tracer_test.cpp
index 92695cca56..29081c337f 100644
--- a/runtime/core/test/event_tracer_test.cpp
+++ b/runtime/core/test/event_tracer_test.cpp
@@ -8,16 +8,26 @@
 
 #include <gtest/gtest.h>
 
+#include <executorch/runtime/core/array_ref.h>
+#include <executorch/runtime/core/evalue.h>
 #include <executorch/runtime/core/event_tracer.h>
 // Enable flag for test
 #define ET_EVENT_TRACER_ENABLED
 #include <executorch/runtime/core/event_tracer_hooks.h>
 #include <executorch/runtime/core/event_tracer_hooks_delegate.h>
 
-namespace torch {
-namespace executor {
-
-using namespace internal;
+using exec_aten::Tensor;
+using executorch::runtime::AllocatorID;
+using executorch::runtime::ArrayRef;
+using executorch::runtime::ChainID;
+using executorch::runtime::DebugHandle;
+using executorch::runtime::EValue;
+using executorch::runtime::EventTracer;
+using executorch::runtime::EventTracerDebugLogLevel;
+using executorch::runtime::EventTracerEntry;
+using executorch::runtime::kUnsetChainId;
+using executorch::runtime::kUnsetDebugHandle;
+using executorch::runtime::LoggedEValueType;
 
 class DummyEventTracer : public EventTracer {
  public:
@@ -65,9 +75,9 @@ class DummyEventTracer : public EventTracer {
   }
 
   void end_profiling_delegate(
-      __ET_UNUSED EventTracerEntry event_tracer_entry,
-      __ET_UNUSED const void* metadata,
-      __ET_UNUSED size_t metadata_len) override {
+      ET_UNUSED EventTracerEntry event_tracer_entry,
+      ET_UNUSED const void* metadata,
+      ET_UNUSED size_t metadata_len) override {
     (void)event_tracer_entry;
     (void)metadata;
     (void)metadata_len;
@@ -159,6 +169,14 @@ class DummyEventTracer : public EventTracer {
  * Exercise all the event_tracer API's for a basic sanity check.
  */
 void RunSimpleTracerTest(EventTracer* event_tracer) {
+  using executorch::runtime::internal::event_tracer_begin_profiling_event;
+  using executorch::runtime::internal::event_tracer_create_event_block;
+  using executorch::runtime::internal::event_tracer_end_profiling_event;
+  using executorch::runtime::internal::event_tracer_track_allocation;
+  using executorch::runtime::internal::event_tracer_track_allocator;
+  using executorch::runtime::internal::EventTracerProfileInstructionScope;
+  using executorch::runtime::internal::EventTracerProfileScope;
+
   event_tracer_create_event_block(event_tracer, "ExampleEvent");
   event_tracer_create_event_block(event_tracer, "ExampleEvent");
   EventTracerEntry event_entry =
@@ -216,6 +234,9 @@ TEST(TestEventTracer, SimpleEventTracerTestDelegate) {
 }
 
 TEST(TestEventTracer, SimpleEventTracerTestLogging) {
+  using executorch::runtime::internal::event_tracer_log_evalue;
+  using executorch::runtime::internal::event_tracer_log_evalue_output;
+
   EValue test_eval(true);
 
   {
@@ -259,8 +280,5 @@ TEST(TestEventTracer, SimpleEventTracerTestLogging) {
   event_tracer_log_evalue_output(nullptr, test_eval);
 }
 
-} // namespace executor
-} // namespace torch
-
-// TODO : (T163645377) Add more test coverage to log and verify events passed
-// into DummyTracer.
+// TODO(T163645377): Add more test coverage to log and verify events passed into
+// DummyTracer.
diff --git a/runtime/core/test/freeable_buffer_test.cpp b/runtime/core/test/freeable_buffer_test.cpp
index 86ac1f794b..e2edff2422 100644
--- a/runtime/core/test/freeable_buffer_test.cpp
+++ b/runtime/core/test/freeable_buffer_test.cpp
@@ -11,7 +11,7 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-using torch::executor::FreeableBuffer;
+using executorch::runtime::FreeableBuffer;
 
 struct FreeCallArgs {
   size_t calls;
diff --git a/runtime/core/test/hierarchical_allocator_test.cpp b/runtime/core/test/hierarchical_allocator_test.cpp
index 13cbe4eb79..e25e1eb833 100644
--- a/runtime/core/test/hierarchical_allocator_test.cpp
+++ b/runtime/core/test/hierarchical_allocator_test.cpp
@@ -17,18 +17,18 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-using torch::executor::Error;
-using torch::executor::HierarchicalAllocator;
-using torch::executor::MemoryAllocator;
-using torch::executor::Result;
-using torch::executor::Span;
+using executorch::runtime::Error;
+using executorch::runtime::HierarchicalAllocator;
+using executorch::runtime::MemoryAllocator;
+using executorch::runtime::Result;
+using executorch::runtime::Span;
 
 class HierarchicalAllocatorTest : public ::testing::Test {
  protected:
   void SetUp() override {
     // Since these tests cause ET_LOG to be called, the PAL must be initialized
     // first.
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
   }
 };
 
diff --git a/runtime/core/test/memory_allocator_test.cpp b/runtime/core/test/memory_allocator_test.cpp
index 2e57e4dc13..dfd2f23a48 100644
--- a/runtime/core/test/memory_allocator_test.cpp
+++ b/runtime/core/test/memory_allocator_test.cpp
@@ -16,8 +16,8 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-using torch::executor::Error;
-using torch::executor::MemoryAllocator;
+using executorch::runtime::Error;
+using executorch::runtime::MemoryAllocator;
 
 struct TestType8 {
   char data[8];
@@ -34,7 +34,7 @@ class MemoryAllocatorTest : public ::testing::Test {
   void SetUp() override {
     // Since these tests cause ET_LOG to be called, the PAL must be initialized
     // first.
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
   }
 };
 
@@ -195,13 +195,13 @@ TEST_F(MemoryAllocatorTest, AllocateListFailure) {
   EXPECT_EQ(p, nullptr);
 }
 
-#if __ET_HAVE_GNU_STATEMENT_EXPRESSIONS
+#if ET_HAVE_GNU_STATEMENT_EXPRESSIONS
 class HelperMacrosTest : public ::testing::Test {
  protected:
   void SetUp() override {
     // Since these tests cause ET_LOG to be called, the PAL must be initialized
     // first.
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
   }
 };
 
@@ -403,4 +403,4 @@ TEST_F(HelperMacrosTest, AllocateListOrReturnFailure) {
       &allocator, allocator.size() * 2, &p);
   EXPECT_EQ(err, Error::MemoryAllocationFailed);
 }
-#endif // __ET_HAVE_GNU_STATEMENT_EXPRESSIONS
+#endif // ET_HAVE_GNU_STATEMENT_EXPRESSIONS
diff --git a/runtime/core/test/span_test.cpp b/runtime/core/test/span_test.cpp
index 7f52e73112..86feb8a969 100644
--- a/runtime/core/test/span_test.cpp
+++ b/runtime/core/test/span_test.cpp
@@ -12,9 +12,7 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-
-namespace torch {
-namespace executor {
+using executorch::runtime::Span;
 
 TEST(SpanTest, Ctors) {
   int64_t x[2] = {1, 2};
@@ -64,6 +62,3 @@ TEST(SpanTest, TriviallyCopyable) {
   EXPECT_EQ(span.size(), span_copy.size());
   EXPECT_TRUE(std::is_trivially_copyable<Span<int64_t>>::value);
 }
-
-} // namespace executor
-} // namespace torch
diff --git a/runtime/core/test/tensor_shape_dynamism_test_aten.cpp b/runtime/core/test/tensor_shape_dynamism_test_aten.cpp
index 5305e8d49e..509efee855 100644
--- a/runtime/core/test/tensor_shape_dynamism_test_aten.cpp
+++ b/runtime/core/test/tensor_shape_dynamism_test_aten.cpp
@@ -11,8 +11,7 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-
-using torch::executor::TensorShapeDynamism;
+using executorch::runtime::TensorShapeDynamism;
 
 TEST(TensorShapeDynamismTest, CanBuildInATenMode) {
   // Demonstrate that aten mode can include the header and see the enum. If this
diff --git a/runtime/executor/memory_manager.h b/runtime/executor/memory_manager.h
index 04939f2b3f..1d3d7a6ffb 100644
--- a/runtime/executor/memory_manager.h
+++ b/runtime/executor/memory_manager.h
@@ -11,8 +11,8 @@
 #include <executorch/runtime/core/hierarchical_allocator.h>
 #include <executorch/runtime/core/memory_allocator.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * A container class for allocators used during Method load and execution.
@@ -66,8 +66,8 @@ class MemoryManager final {
    *
    * TODO(T162089316): Remove this once all users migrate to the new ctor.
    */
-  __ET_DEPRECATED MemoryManager(
-      // We would normally use __ET_UNUSED here, but GCC older than 9.3 has a
+  ET_DEPRECATED MemoryManager(
+      // We would normally use ET_UNUSED here, but GCC older than 9.3 has a
       // bug that triggers a syntax error when using [[maybe_unused]] on the
       // first parameter of a constructor:
       // https://gcc.gnu.org/bugzilla/show_bug.cgi?id=81429
@@ -113,5 +113,13 @@ class MemoryManager final {
   MemoryAllocator* temp_allocator_;
 };
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::MemoryManager;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/executor/method.cpp b/runtime/executor/method.cpp
index 82476883d7..a6ed7e354a 100644
--- a/runtime/executor/method.cpp
+++ b/runtime/executor/method.cpp
@@ -17,6 +17,7 @@
 #include <executorch/runtime/core/exec_aten/util/tensor_util.h>
 #include <executorch/runtime/core/span.h>
 #include <executorch/runtime/executor/memory_manager.h>
+#include <executorch/runtime/executor/platform_memory_allocator.h>
 #include <executorch/runtime/executor/program.h>
 #include <executorch/runtime/executor/tensor_parser.h>
 #include <executorch/runtime/kernel/kernel_runtime_context.h>
@@ -26,8 +27,10 @@
 #include <executorch/runtime/platform/profiler.h>
 #include <executorch/schema/program_generated.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
+
+using internal::PlatformMemoryAllocator;
 
 /**
  * Runtime state for a backend delegate.
@@ -58,7 +61,7 @@ class BackendDelegate final {
     ET_CHECK_OR_RETURN_ERROR(
         delegate.id() != nullptr, InvalidProgram, "Missing backend id");
     const char* backend_id = delegate.id()->c_str();
-    PyTorchBackendInterface* backend = get_backend_class(backend_id);
+    BackendInterface* backend = get_backend_class(backend_id);
     ET_CHECK_OR_RETURN_ERROR(
         backend != nullptr,
         NotFound,
@@ -198,7 +201,7 @@ class BackendDelegate final {
   }
 
   FreeableBuffer segment_;
-  const PyTorchBackendInterface* backend_;
+  const BackendInterface* backend_;
   DelegateHandle* handle_;
 };
 
@@ -252,10 +255,10 @@ Result<bool> parse_cond_value(const EValue& cond_value) {
     // currently. If that's not the case then something is wrong in the model
     // and we should exit.
     ET_CHECK_OR_RETURN_ERROR(
-        ScalarType::Bool == cond_val.scalar_type(),
+        exec_aten::ScalarType::Bool == cond_val.scalar_type(),
         InvalidProgram,
         "Expected dtype of %" PRId8 " got %" PRId8,
-        static_cast<int8_t>(ScalarType::Bool),
+        static_cast<int8_t>(exec_aten::ScalarType::Bool),
         static_cast<int8_t>(cond_val.scalar_type()));
 
     const bool* cond_data = cond_val.const_data_ptr<bool>();
@@ -527,19 +530,20 @@ Error Method::resolve_operator(
           i,
           static_cast<uint32_t>(err));
       meta[count].dim_order_ =
-          ArrayRef<exec_aten::DimOrderType>(dim_order_ptr, size);
+          Span<exec_aten::DimOrderType>(dim_order_ptr, size);
       count++;
     }
   }
-  // search kernel
-  if (hasOpsFn(operator_name, ArrayRef<TensorMeta>(meta, count))) {
-    kernels[kernel_index] =
-        getOpsFn(operator_name, ArrayRef<TensorMeta>(meta, count));
-    return Error::Ok;
-  } else {
+
+  // Find a kernel with the matching name and tensor meta.
+  Result<OpFunction> op_function =
+      get_op_function_from_registry(operator_name, {meta, count});
+  if (!op_function.ok()) {
     ET_LOG(Error, "Missing operator: [%d] %s", op_index, operator_name);
-    return Error::OperatorMissing;
+    return op_function.error();
   }
+  kernels[kernel_index] = op_function.get();
+  return Error::Ok;
 }
 
 Result<Method> Method::load(
@@ -547,7 +551,16 @@ Result<Method> Method::load(
     const Program* program,
     MemoryManager* memory_manager,
     EventTracer* event_tracer) {
-  Method method(program, memory_manager, event_tracer);
+  MemoryAllocator* temp_allocator = memory_manager->temp_allocator();
+  if (temp_allocator == nullptr) {
+    PlatformMemoryAllocator* platform_allocator =
+        ET_ALLOCATE_INSTANCE_OR_RETURN_ERROR(
+            memory_manager->method_allocator(), PlatformMemoryAllocator);
+    new (platform_allocator) PlatformMemoryAllocator();
+    temp_allocator = platform_allocator;
+  }
+  Method method(program, memory_manager, event_tracer, temp_allocator);
+
   Error err = method.init(s_plan);
   if (err != Error::Ok) {
     return err;
@@ -771,7 +784,7 @@ Error Method::init(executorch_flatbuffer::ExecutionPlan* s_plan) {
   return Error::Ok;
 }
 
-__ET_NODISCARD Error
+ET_NODISCARD Error
 Method::set_input(const EValue& input_evalue, size_t input_idx) {
   ET_CHECK_OR_RETURN_ERROR(
       initialized(),
@@ -900,7 +913,7 @@ Method::set_input(const EValue& input_evalue, size_t input_idx) {
   return Error::Ok;
 }
 
-__ET_NODISCARD Error
+ET_NODISCARD Error
 Method::set_inputs(const exec_aten::ArrayRef<EValue>& input_evalues) {
   ET_CHECK_OR_RETURN_ERROR(
       initialized(),
@@ -929,7 +942,7 @@ Method::set_inputs(const exec_aten::ArrayRef<EValue>& input_evalues) {
   return Error::Ok;
 }
 
-__ET_NODISCARD Error
+ET_NODISCARD Error
 Method::set_output_data_ptr(void* buffer, size_t size, size_t output_idx) {
   // Check method state
   ET_CHECK_OR_RETURN_ERROR(
@@ -944,7 +957,7 @@ Method::set_output_data_ptr(void* buffer, size_t size, size_t output_idx) {
   //     allowed.");
   // TODO(T188740925): for now, return error without logs.
   if (pre_allocated_output_) {
-    return ::torch::executor::Error::InvalidState;
+    return Error::InvalidState;
   }
 
   // Check the args
@@ -979,8 +992,7 @@ Method::set_output_data_ptr(void* buffer, size_t size, size_t output_idx) {
   return internal::set_tensor_data(t, buffer, size);
 }
 
-__ET_NODISCARD Error
-Method::get_outputs(EValue* output_evalues, size_t length) {
+ET_NODISCARD Error Method::get_outputs(EValue* output_evalues, size_t length) {
   ET_CHECK_OR_RETURN_ERROR(
       initialized(),
       InvalidState,
@@ -1002,7 +1014,7 @@ Method::get_outputs(EValue* output_evalues, size_t length) {
   return Error::Ok;
 }
 
-__ET_NODISCARD Error Method::get_inputs(EValue* input_evalues, size_t length) {
+ET_NODISCARD Error Method::get_inputs(EValue* input_evalues, size_t length) {
   ET_CHECK_OR_RETURN_ERROR(
       initialized(),
       InvalidState,
@@ -1039,16 +1051,14 @@ Error Method::execute_instruction() {
   auto instruction = instructions->Get(step_state_.instr_idx);
   size_t next_instr_idx = step_state_.instr_idx + 1;
   Error err = Error::Ok;
+
   switch (instruction->instr_args_type()) {
     case executorch_flatbuffer::InstructionArguments::KernelCall: {
       EXECUTORCH_SCOPE_PROF("OPERATOR_CALL");
       internal::EventTracerProfileScope event_tracer_scope =
           internal::EventTracerProfileScope(event_tracer_, "OPERATOR_CALL");
       // TODO(T147221312): Also expose tensor resizer via the context.
-      // The temp_allocator passed can be null, but calling allocate_temp will
-      // fail
-      KernelRuntimeContext context(
-          event_tracer_, memory_manager_->temp_allocator());
+      KernelRuntimeContext context(event_tracer_, temp_allocator_);
       auto args = chain.argument_lists_[step_state_.instr_idx];
       chain.kernels_[step_state_.instr_idx](context, args.data());
       // We reset the temp_allocator after the switch statement
@@ -1096,7 +1106,7 @@ Error Method::execute_instruction() {
           step_state_.instr_idx);
       BackendExecutionContext backend_execution_context(
           /*event_tracer*/ event_tracer_,
-          /*temp_allocator*/ memory_manager_->temp_allocator());
+          /*temp_allocator*/ temp_allocator_);
       err = delegates_[delegate_idx].Execute(
           backend_execution_context,
           chain.argument_lists_[step_state_.instr_idx].data());
@@ -1168,8 +1178,8 @@ Error Method::execute_instruction() {
       err = Error::InvalidProgram;
   }
   // Reset the temp allocator for every instruction.
-  if (memory_manager_->temp_allocator() != nullptr) {
-    memory_manager_->temp_allocator()->reset();
+  if (temp_allocator_ != nullptr) {
+    temp_allocator_->reset();
   }
   if (err == Error::Ok) {
     step_state_.instr_idx = next_instr_idx;
@@ -1177,7 +1187,7 @@ Error Method::execute_instruction() {
   return err;
 }
 
-Error Method::experimental_reset_execution() {
+Error Method::reset_execution() {
   ET_CHECK_OR_RETURN_ERROR(
       step_state_.chain_idx == n_chains_,
       InvalidState,
@@ -1186,6 +1196,10 @@ Error Method::experimental_reset_execution() {
   return Error::Ok;
 }
 
+Error Method::experimental_reset_execution() {
+  return reset_execution(); // @lint-ignore CLANGTIDY facebook-hte-Deprecated
+}
+
 // Log all the outputs of this method to the event tracer.
 void Method::log_outputs() {
 #ifdef ET_EVENT_TRACER_ENABLED
@@ -1200,7 +1214,7 @@ void Method::log_outputs() {
 #endif
 }
 
-Error Method::experimental_step() {
+Error Method::step() {
   EXECUTORCH_PROFILE_INSTRUCTION_SCOPE(
       static_cast<int32_t>(step_state_.chain_idx),
       static_cast<uint32_t>(step_state_.instr_idx));
@@ -1246,6 +1260,10 @@ Error Method::experimental_step() {
   return Error::Ok;
 }
 
+Error Method::experimental_step() {
+  return step();
+}
+
 Error Method::execute() {
   internal::event_tracer_create_event_block(event_tracer_, "Execute");
   internal::EventTracerProfileScope event_tracer_profile_scope =
@@ -1290,7 +1308,7 @@ Error Method::execute() {
 
   // TODO(jakeszwe, dbort): Decide on calling execute back to back without
   // going through the reset api first.
-  return experimental_reset_execution();
+  return reset_execution(); // @lint-ignore CLANGTIDY facebook-hte-Deprecated
 }
 
 MethodMeta Method::method_meta() const {
@@ -1370,5 +1388,5 @@ Method::~Method() {
   }
   // All other fields are trivially destructible.
 }
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
diff --git a/runtime/executor/method.h b/runtime/executor/method.h
index edeaaac665..0a35d6b928 100644
--- a/runtime/executor/method.h
+++ b/runtime/executor/method.h
@@ -11,6 +11,7 @@
 #include <executorch/runtime/core/evalue.h>
 #include <executorch/runtime/core/event_tracer.h>
 #include <executorch/runtime/core/exec_aten/exec_aten.h>
+#include <executorch/runtime/core/span.h>
 #include <executorch/runtime/executor/memory_manager.h>
 #include <executorch/runtime/executor/method_meta.h>
 #include <executorch/runtime/platform/compiler.h>
@@ -23,8 +24,8 @@ struct ExecutionPlan;
 struct EValue;
 } // namespace executorch_flatbuffer
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 // Forward declare Program to avoid a circular reference.
 class Program;
@@ -32,8 +33,6 @@ class Program;
 // Forward declare internal types.
 class BackendDelegate;
 struct Chain;
-template <typename T>
-class Span;
 class KernelRuntimeContext;
 using OpFunction = void (*)(KernelRuntimeContext&, EValue**);
 /// A list of pointers into the master values table that together compose the
@@ -54,6 +53,7 @@ class Method final {
       : step_state_(rhs.step_state_),
         program_(rhs.program_),
         memory_manager_(rhs.memory_manager_),
+        temp_allocator_(rhs.temp_allocator_),
         serialization_plan_(rhs.serialization_plan_),
         event_tracer_(rhs.event_tracer_),
         n_value_(rhs.n_value_),
@@ -104,7 +104,7 @@ class Method final {
    *
    * @returns Error::Ok on success, non-Ok on failure.
    */
-  __ET_NODISCARD Error set_input(const EValue& input_evalue, size_t input_idx);
+  ET_NODISCARD Error set_input(const EValue& input_evalue, size_t input_idx);
 
   /**
    * Sets the values of all method inputs.
@@ -118,7 +118,7 @@ class Method final {
    *
    * @returns Error::Ok on success, non-Ok on failure.
    */
-  __ET_NODISCARD Error
+  ET_NODISCARD Error
   set_inputs(const exec_aten::ArrayRef<EValue>& input_evalues);
 
   /**
@@ -140,7 +140,7 @@ class Method final {
    *
    * @returns Error::Ok on success, non-Ok on failure.
    */
-  __ET_NODISCARD Error
+  ET_NODISCARD Error
   set_output_data_ptr(void* buffer, size_t size, size_t output_idx);
 
   /**
@@ -160,7 +160,7 @@ class Method final {
    *
    * @returns Error::Ok on success, non-Ok on failure.
    */
-  __ET_NODISCARD Error get_outputs(EValue* output_evalues, size_t length);
+  ET_NODISCARD Error get_outputs(EValue* output_evalues, size_t length);
 
   /**
    * Copies the method's inputs into the provided array.
@@ -176,41 +176,43 @@ class Method final {
    *
    * @returns Error::Ok on success, non-Ok on failure.
    */
-  __ET_NODISCARD Error get_inputs(EValue* input_evalues, size_t length);
+  ET_NODISCARD Error get_inputs(EValue* input_evalues, size_t length);
 
   /**
    * Execute the method.
    *
    * NOTE: Will fail if the method has been partially executed using the
-   * `experimental_step()` api.
+   * `step()` api.
    *
    * @returns Error::Ok on success, non-Ok on failure.
    */
-  __ET_NODISCARD Error execute();
+  ET_NODISCARD Error execute();
 
   /**
-   * Advances/executes a single instruction in the method.
-   *
-   * NOTE: Prototype API; subject to change.
+   * EXPERIMENTAL: Advances/executes a single instruction in the method.
    *
    * @retval Error::Ok step succeeded
    * @retval non-Ok step failed
    * @retval Error::EndOfMethod method finished executing successfully
    */
-  __ET_NODISCARD Error experimental_step();
+  ET_EXPERIMENTAL ET_NODISCARD Error step();
+
+  /// DEPRECATED: Use `step()` instead.
+  ET_DEPRECATED ET_NODISCARD Error experimental_step();
 
   /**
-   * Resets execution state to the start of the Method. For use with the
-   * `experimental_step()` API.
-   *
-   * NOTE: Prototype API; subject to change.
+   * EXPERIMENTAL: Resets execution state to the start of the Method. For use
+   * with the `step()` API.
    *
    * @retval Error:Ok on success
    * @retval Error::InvalidState if called before step-based execution reached
    *     the end of the Method. This means it is not possible to recover a
    *     Method that failed mid-execution.
    */
-  __ET_NODISCARD Error experimental_reset_execution();
+  ET_EXPERIMENTAL ET_NODISCARD Error reset_execution();
+
+  /// DEPRECATED: Use `reset_execution()` instead.
+  ET_DEPRECATED ET_NODISCARD Error experimental_reset_execution();
 
   /**
    * Returns the MethodMeta that corresponds to the calling Method.
@@ -236,13 +238,13 @@ class Method final {
 
   /// DEPRECATED: Use MethodMeta instead to access metadata, and set_input to
   /// update Method inputs.
-  __ET_DEPRECATED const EValue& get_input(size_t i) const;
+  ET_DEPRECATED const EValue& get_input(size_t i) const;
   /// DEPRECATED: Use MethodMeta instead to access metadata, and set_input to
   /// update Method inputs.
-  __ET_DEPRECATED EValue& mutable_input(size_t i);
+  ET_DEPRECATED EValue& mutable_input(size_t i);
   /// DEPRECATED: Use MethodMeta instead to access metadata, and get_output to
   /// retrieve Method outputs.
-  __ET_DEPRECATED EValue& mutable_output(size_t i);
+  ET_DEPRECATED EValue& mutable_output(size_t i);
 
   ~Method();
 
@@ -272,10 +274,12 @@ class Method final {
   Method(
       const Program* program,
       MemoryManager* memory_manager,
-      EventTracer* event_tracer)
+      EventTracer* event_tracer,
+      MemoryAllocator* temp_allocator)
       : step_state_(),
         program_(program),
         memory_manager_(memory_manager),
+        temp_allocator_(temp_allocator),
         serialization_plan_(nullptr),
         event_tracer_(event_tracer),
         n_value_(0),
@@ -289,7 +293,7 @@ class Method final {
         pre_allocated_output_(false) {}
 
   /// Static factory used by Program.
-  __ET_NODISCARD static Result<Method> load(
+  ET_NODISCARD static Result<Method> load(
       executorch_flatbuffer::ExecutionPlan* s_plan,
       const Program* program,
       MemoryManager* memory_manager,
@@ -300,7 +304,7 @@ class Method final {
    *
    * @returns Error::Ok on success, non-Ok on failure.
    */
-  __ET_NODISCARD Error init(executorch_flatbuffer::ExecutionPlan* s_plan);
+  ET_NODISCARD Error init(executorch_flatbuffer::ExecutionPlan* s_plan);
 
   /// Returns true if the Method was successfully initialized.
   inline bool initialized() const {
@@ -313,11 +317,12 @@ class Method final {
   size_t get_output_index(size_t i) const;
 
   // Executes a single instruction using the state in step_state_
-  __ET_NODISCARD Error execute_instruction();
+  ET_NODISCARD Error execute_instruction();
 
   StepState step_state_;
   const Program* program_;
   MemoryManager* memory_manager_;
+  MemoryAllocator* temp_allocator_;
   executorch_flatbuffer::ExecutionPlan* serialization_plan_;
   EventTracer* event_tracer_;
 
@@ -339,9 +344,9 @@ class Method final {
    * the number of successfully-initialized entries so that ~Method doesn't try
    * to clean up uninitialized entries.
    */
-  __ET_NODISCARD Error parse_values();
+  ET_NODISCARD Error parse_values();
 
-  __ET_NODISCARD Error resolve_operator(
+  ET_NODISCARD Error resolve_operator(
       int32_t op_index,
       OpFunction* kernels,
       size_t kernel_index,
@@ -351,5 +356,13 @@ class Method final {
   void log_outputs();
 };
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::Method;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/executor/method_meta.cpp b/runtime/executor/method_meta.cpp
index fc46f84870..309ecf0ec8 100644
--- a/runtime/executor/method_meta.cpp
+++ b/runtime/executor/method_meta.cpp
@@ -15,8 +15,8 @@
 #include <executorch/runtime/executor/method_meta.h>
 #include <executorch/schema/program_generated.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 namespace {
 Result<Tag> get_tag(
@@ -59,7 +59,8 @@ size_t calculate_nbytes(
   for (ssize_t i = 0; i < sizes.size(); i++) {
     n *= sizes[i];
   }
-  return n * torch::executor::elementSize(scalar_type);
+  // Use the full namespace to disambiguate from c10::elementSize.
+  return n * executorch::runtime::elementSize(scalar_type);
 }
 
 } // namespace
@@ -67,10 +68,12 @@ size_t calculate_nbytes(
 TensorInfo::TensorInfo(
     Span<const int32_t> sizes,
     Span<const uint8_t> dim_order,
-    exec_aten::ScalarType scalar_type)
+    exec_aten::ScalarType scalar_type,
+    const bool is_memory_planned)
     : sizes_(sizes),
       dim_order_(dim_order),
       scalar_type_(scalar_type),
+      is_memory_planned_(is_memory_planned),
       nbytes_(calculate_nbytes(sizes_, scalar_type_)) {}
 
 Span<const int32_t> TensorInfo::sizes() const {
@@ -85,6 +88,10 @@ exec_aten::ScalarType TensorInfo::scalar_type() const {
   return scalar_type_;
 }
 
+bool TensorInfo::is_memory_planned() const {
+  return is_memory_planned_;
+}
+
 size_t TensorInfo::nbytes() const {
   return nbytes_;
 }
@@ -131,7 +138,8 @@ Result<TensorInfo> MethodMeta::input_tensor_meta(size_t index) const {
           tensor_value->sizes()->data(), tensor_value->sizes()->size()),
       Span<const uint8_t>(
           tensor_value->dim_order()->data(), tensor_value->dim_order()->size()),
-      static_cast<exec_aten::ScalarType>(tensor_value->scalar_type()));
+      static_cast<exec_aten::ScalarType>(tensor_value->scalar_type()),
+      tensor_value->allocation_info() != nullptr);
 }
 
 size_t MethodMeta::num_outputs() const {
@@ -169,7 +177,8 @@ Result<TensorInfo> MethodMeta::output_tensor_meta(size_t index) const {
           tensor_value->sizes()->data(), tensor_value->sizes()->size()),
       Span<const uint8_t>(
           tensor_value->dim_order()->data(), tensor_value->dim_order()->size()),
-      static_cast<exec_aten::ScalarType>(tensor_value->scalar_type()));
+      static_cast<exec_aten::ScalarType>(tensor_value->scalar_type()),
+      tensor_value->allocation_info() != nullptr);
 }
 
 size_t MethodMeta::num_memory_planned_buffers() const {
@@ -196,5 +205,5 @@ Result<int64_t> MethodMeta::memory_planned_buffer_size(size_t index) const {
   return s_plan_->non_const_buffer_sizes()->Get(index + 1);
 }
 
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
diff --git a/runtime/executor/method_meta.h b/runtime/executor/method_meta.h
index 596aaf6803..7817583fc3 100644
--- a/runtime/executor/method_meta.h
+++ b/runtime/executor/method_meta.h
@@ -19,8 +19,8 @@ namespace executorch_flatbuffer {
 struct ExecutionPlan;
 } // namespace executorch_flatbuffer
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * Metadata about a specific tensor of an ExecuTorch Program.
@@ -52,6 +52,11 @@ class TensorInfo final {
    */
   exec_aten::ScalarType scalar_type() const;
 
+  /**
+   * Returns whether the tensor's memory was planned during export.
+   */
+  bool is_memory_planned() const;
+
   /**
    * Returns the size of the tensor in bytes.
    */
@@ -64,7 +69,8 @@ class TensorInfo final {
   TensorInfo(
       Span<const int32_t> sizes,
       Span<const uint8_t> dim_order,
-      exec_aten::ScalarType scalar_type);
+      exec_aten::ScalarType scalar_type,
+      const bool is_memory_planned);
 
   /**
    * The sizes of the tensor.
@@ -85,6 +91,9 @@ class TensorInfo final {
   /// The scalar type of the tensor.
   exec_aten::ScalarType scalar_type_;
 
+  /// Whether the tensor's memory was planned during export.
+  bool is_memory_planned_;
+
   /// The size in bytes of the tensor.
   size_t nbytes_;
 };
@@ -179,7 +188,7 @@ class MethodMeta final {
   /**
    * DEPRECATED: Use num_memory_planned_buffers() instead.
    */
-  __ET_DEPRECATED size_t num_non_const_buffers() const {
+  ET_DEPRECATED size_t num_non_const_buffers() const {
     return num_memory_planned_buffers();
   }
 
@@ -200,5 +209,14 @@ class MethodMeta final {
   const executorch_flatbuffer::ExecutionPlan* s_plan_;
 };
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::MethodMeta;
+using ::executorch::runtime::TensorInfo;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/executor/platform_memory_allocator.h b/runtime/executor/platform_memory_allocator.h
new file mode 100644
index 0000000000..09195a460a
--- /dev/null
+++ b/runtime/executor/platform_memory_allocator.h
@@ -0,0 +1,111 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <stdio.h>
+#include <cinttypes>
+#include <cstdint>
+
+#include <executorch/runtime/core/memory_allocator.h>
+#include <executorch/runtime/platform/log.h>
+#include <executorch/runtime/platform/platform.h>
+
+namespace executorch {
+namespace runtime {
+namespace internal {
+
+/**
+ * PlatformMemoryAllocator is a memory allocator that uses a linked list to
+ * manage allocated nodes. It overrides the allocate method of MemoryAllocator
+ * using the PAL fallback allocator method `et_pal_allocate`.
+ */
+class PlatformMemoryAllocator final : public MemoryAllocator {
+ private:
+  // We allocate a little more than requested and use that memory as a node in
+  // a linked list, pushing the allocated buffers onto a list that's iterated
+  // and freed when the KernelRuntimeContext is destroyed.
+  struct AllocationNode {
+    void* data;
+    AllocationNode* next;
+  };
+
+  AllocationNode* head_ = nullptr;
+
+ public:
+  PlatformMemoryAllocator() : MemoryAllocator(0, nullptr) {}
+
+  void* allocate(size_t size, size_t alignment = kDefaultAlignment) override {
+    if (!isPowerOf2(alignment)) {
+      ET_LOG(Error, "Alignment %zu is not a power of 2", alignment);
+      return nullptr;
+    }
+
+    // Allocate enough memory for the node, the data and the alignment bump.
+    size_t alloc_size = sizeof(AllocationNode) + size + alignment;
+    void* node_memory = et_pal_allocate(alloc_size);
+
+    // If allocation failed, log message and return nullptr.
+    if (node_memory == nullptr) {
+      ET_LOG(Error, "Failed to allocate %zu bytes", alloc_size);
+      return nullptr;
+    }
+
+    // Compute data pointer.
+    uint8_t* data_ptr =
+        reinterpret_cast<uint8_t*>(node_memory) + sizeof(AllocationNode);
+
+    // Align the data pointer.
+    void* aligned_data_ptr = alignPointer(data_ptr, alignment);
+
+    // Assert that the alignment didn't overflow the allocated memory.
+    ET_DCHECK_MSG(
+        reinterpret_cast<uintptr_t>(aligned_data_ptr) + size <=
+            reinterpret_cast<uintptr_t>(node_memory) + alloc_size,
+        "aligned_data_ptr %p + size %zu > node_memory %p + alloc_size %zu",
+        aligned_data_ptr,
+        size,
+        node_memory,
+        alloc_size);
+
+    // Construct the node.
+    AllocationNode* new_node = reinterpret_cast<AllocationNode*>(node_memory);
+    new_node->data = aligned_data_ptr;
+    new_node->next = head_;
+    head_ = new_node;
+
+    // Return the aligned data pointer.
+    return head_->data;
+  }
+
+  void reset() override {
+    AllocationNode* current = head_;
+    while (current != nullptr) {
+      AllocationNode* next = current->next;
+      et_pal_free(current);
+      current = next;
+    }
+    head_ = nullptr;
+  }
+
+  ~PlatformMemoryAllocator() override {
+    reset();
+  }
+
+ private:
+  // Disable copy and move.
+  PlatformMemoryAllocator(const PlatformMemoryAllocator&) = delete;
+  PlatformMemoryAllocator& operator=(const PlatformMemoryAllocator&) = delete;
+  PlatformMemoryAllocator(PlatformMemoryAllocator&&) noexcept = delete;
+  PlatformMemoryAllocator& operator=(PlatformMemoryAllocator&&) noexcept =
+      delete;
+};
+
+} // namespace internal
+} // namespace runtime
+} // namespace executorch
diff --git a/runtime/executor/program.cpp b/runtime/executor/program.cpp
index 5a0627e830..48d36602d3 100644
--- a/runtime/executor/program.cpp
+++ b/runtime/executor/program.cpp
@@ -29,8 +29,8 @@
 
 #pragma clang diagnostic ignored "-Wshadow"
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 namespace {
 
@@ -150,9 +150,12 @@ Result<executorch_flatbuffer::ExecutionPlan*> get_execution_plan(
 
   // Constant data may live inside the flatbuffer data (constant_buffer) or in a
   // separate segment (constant_segment). It should not be in both.
+  // Check constant_segment->offsets()->size() > 1, as the offsets list will
+  // always contain a placeholder value 0 for non-const tensors. If this is the
+  // only offset, the constant segment is empty and does not need to be loaded.
   const auto* constant_segment = flatbuffer_program->constant_segment();
   if (constant_segment != nullptr && constant_segment->offsets() != nullptr &&
-      constant_segment->offsets()->size() > 0) {
+      constant_segment->offsets()->size() > 1) {
     // The constant data is inside a separate segment.
     const auto* constant_buffer = flatbuffer_program->constant_buffer();
     ET_CHECK_OR_RETURN_ERROR(
@@ -410,5 +413,90 @@ Result<FreeableBuffer> Program::LoadSegment(
       segment_base_offset_ + segment->offset(), segment->size(), segment_info);
 }
 
-} // namespace executor
-} // namespace torch
+Error Program::load_mutable_subsegment_into(
+    size_t mutable_data_segments_index,
+    size_t offset_index,
+    size_t size,
+    void* buffer) const {
+  EXECUTORCH_SCOPE_PROF("Program::load_subsegment_into");
+  // Check that the program has segments.
+  if (loader_ == nullptr || segment_base_offset_ == 0) {
+    ET_LOG(Error, "No segments in program");
+    return Error::NotFound;
+  }
+
+  // Check that the program has mutable data segments.
+  if (internal_program_->mutable_data_segments() == nullptr) {
+    ET_LOG(Error, "No mutable data segments in program");
+    return Error::NotFound;
+  }
+  if (mutable_data_segments_index >=
+      internal_program_->mutable_data_segments()->size()) {
+    ET_LOG(
+        Error,
+        "mutable_data_segments_index %zu out of range >= %" PRIu64,
+        mutable_data_segments_index,
+        (uint64_t)internal_program_->mutable_data_segments()->size());
+    return Error::NotFound;
+  }
+
+  // Grab the mutable data segment info.
+  const auto& segment_offsets = internal_program_->mutable_data_segments()->Get(
+      mutable_data_segments_index);
+
+  // Check that the offset is valid.
+  if (segment_offsets->offsets() == nullptr) {
+    ET_LOG(Error, "No offsets in mutable data segment");
+    return Error::NotFound;
+  }
+  if (offset_index >= segment_offsets->offsets()->size()) {
+    ET_LOG(
+        Error,
+        "offset index %zu out of range >= %" PRIu64,
+        offset_index,
+        (uint64_t)segment_offsets->offsets()->size());
+    return Error::NotFound;
+  }
+
+  // Grab the offset. Note: This offset is relative to the start of the segment,
+  // so we will need to adjust when calling the loader.
+  size_t offset = segment_offsets->offsets()->Get(offset_index);
+
+  // Grab the segment index
+  size_t num_segments = internal_program_->segments()->size();
+  if (segment_offsets->segment_index() >= num_segments) {
+    ET_LOG(
+        Error,
+        "Segment index %u out of range (>= %zu)",
+        segment_offsets->segment_index(),
+        num_segments);
+    return Error::NotFound;
+  }
+
+  // Grab the segment
+  auto segment =
+      internal_program_->segments()->Get(segment_offsets->segment_index());
+
+  // Check size
+  if (offset + size > segment->size()) {
+    ET_LOG(
+        Error,
+        "offset %zu + size %zu out of range > %" PRIu64,
+        offset,
+        size,
+        segment->size());
+    return Error::InvalidArgument;
+  }
+
+  DataLoader::SegmentInfo info = DataLoader::SegmentInfo(
+      DataLoader::SegmentInfo::Type::Mutable,
+      segment_offsets->segment_index(),
+      nullptr);
+
+  // Load the data
+  return loader_->load_into(
+      segment_base_offset_ + segment->offset() + offset, size, info, buffer);
+}
+
+} // namespace runtime
+} // namespace executorch
diff --git a/runtime/executor/program.h b/runtime/executor/program.h
index 5d2ec67a3e..f7469eb219 100644
--- a/runtime/executor/program.h
+++ b/runtime/executor/program.h
@@ -27,14 +27,19 @@ namespace executorch_flatbuffer {
 struct Program;
 } // namespace executorch_flatbuffer
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 namespace testing {
 // Provides test access to private Program methods.
 class ProgramTestFriend;
 } // namespace testing
 
+namespace deserialization {
+// Provides Tensor deserializaiton access to private Program methods.
+class TensorParser;
+} // namespace deserialization
+
 /**
  * A deserialized ExecuTorch program binary.
  */
@@ -73,12 +78,12 @@ class Program final {
    * @param[in] verification The type of verification to do before returning
    *     success.
    */
-  __ET_NODISCARD static Result<Program> load(
+  ET_NODISCARD static Result<Program> load(
       DataLoader* loader,
       Verification verification = Verification::Minimal);
 
   /// DEPRECATED: Use the lowercase `load()` instead.
-  __ET_DEPRECATED __ET_NODISCARD static Result<Program> Load(
+  ET_DEPRECATED ET_NODISCARD static Result<Program> Load(
       DataLoader* loader,
       Verification verification = Verification::Minimal) {
     return load(loader, verification);
@@ -118,7 +123,8 @@ class Program final {
    *
    * @param[in] method_name The name of the method to load.
    * @param[in] memory_manager The allocators to use during initialization and
-   *     execution of the loaded method.
+   *     execution of the loaded method. If `memory_manager.temp_allocator()` is
+   *     null, the runtime will allocate temp memory using `et_pal_allocate()`.
    * @param[in] event_tracer The event tracer to use for this method run.
    *
    * @returns The loaded method on success, or an error on failure.
@@ -143,7 +149,7 @@ class Program final {
    *
    * @return The pytree encoding string for the output
    */
-  __ET_DEPRECATED Result<const char*> get_output_flattening_encoding(
+  ET_DEPRECATED Result<const char*> get_output_flattening_encoding(
       const char* method_name = "forward") const;
 
   /**
@@ -194,6 +200,7 @@ class Program final {
   friend class BackendDelegate;
   friend class Executor;
   friend class Method;
+  friend class deserialization::TensorParser;
   friend class testing::ProgramTestFriend;
 
   const executorch_flatbuffer::Program* get_internal_program() const {
@@ -209,7 +216,7 @@ class Program final {
   /**
    * Loads a segment by index.
    *
-   * @param[in] SegmentInfo Struct containing an index to load from the
+   * @param[in] segment_info Struct containing an index to load from the
    * Program.segments list. The other fields of the struct, such as
    * `segment_type` and `descriptor`, need to also be correct.
    *
@@ -220,9 +227,33 @@ class Program final {
    *     DataLoader: The Program.segment table is inconsistent, or the
    *     data cannot be accessed.
    */
-  __ET_NODISCARD Result<FreeableBuffer> LoadSegment(
+  ET_NODISCARD Result<FreeableBuffer> LoadSegment(
       const DataLoader::SegmentInfo& segment_info) const;
 
+  /**
+   * Loads a portion of a mutable segment into the provided buffer.
+   *
+   * @param[in] mutable_data_segments_index The index into the
+   * mutable_data_segments_array.
+   * @param[in] offset_index The index into the segment's offsets array.
+   * @param[in] size The number of bytes to load.
+   * @param[in] buffer The buffer to load data into. Must point to at least
+   * `size` bytes of memory.
+   *
+   * @returns An error code on if the load was successful.
+   * @retval Error::Ok The load was successful.
+   * @retval Error::NotFound The program does not contain any segments or the
+   *     indices are out of range.
+   * @returns Other errors depending on the implementation of
+   *     DataLoader: The Program.segment table is inconsistent, or the
+   *     data cannot be accessed.
+   */
+  ET_NODISCARD Error load_mutable_subsegment_into(
+      size_t mutable_data_segments_index,
+      size_t offset_index,
+      size_t size,
+      void* buffer) const;
+
  private:
   Program(
       DataLoader* loader,
@@ -260,5 +291,13 @@ class Program final {
   FreeableBuffer constant_segment_data_;
 };
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::Program;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/executor/targets.bzl b/runtime/executor/targets.bzl
index 46f997a80a..cc91255d7b 100644
--- a/runtime/executor/targets.bzl
+++ b/runtime/executor/targets.bzl
@@ -65,6 +65,9 @@ def define_common_targets():
                 "tensor_parser_exec_aten.cpp",
                 "tensor_parser{}.cpp".format(aten_suffix if aten_mode else "_portable"),
             ],
+            headers = [
+                "platform_memory_allocator.h",
+            ],
             exported_headers = [
                 "method.h",
                 "method_meta.h",
diff --git a/runtime/executor/tensor_parser.h b/runtime/executor/tensor_parser.h
index d7f6c02a19..10b6795511 100644
--- a/runtime/executor/tensor_parser.h
+++ b/runtime/executor/tensor_parser.h
@@ -14,16 +14,16 @@
 #include <executorch/runtime/executor/program.h>
 #include <executorch/schema/program_generated.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 namespace deserialization {
 
-__ET_NODISCARD Result<exec_aten::Tensor> parseTensor(
+ET_NODISCARD Result<exec_aten::Tensor> parseTensor(
     const Program* program,
     MemoryManager* memory_manager,
     const executorch_flatbuffer::Tensor* s_tensor);
 
-__ET_NODISCARD Result<BoxedEvalueList<exec_aten::Tensor>> parseTensorList(
+ET_NODISCARD Result<BoxedEvalueList<exec_aten::Tensor>> parseTensorList(
     const flatbuffers::Vector<int32_t>* tensor_indices,
     EValue* values_,
     MemoryManager* memory_manager);
@@ -32,7 +32,7 @@ __ET_NODISCARD Result<BoxedEvalueList<exec_aten::Tensor>> parseTensorList(
 // list of optionals: list of optional Tensor, list of optional float etc, so we
 // just use a template to avoid boilerplate.
 template <typename T>
-__ET_NODISCARD Result<BoxedEvalueList<exec_aten::optional<T>>>
+ET_NODISCARD Result<BoxedEvalueList<exec_aten::optional<T>>>
 parseListOptionalType(
     const flatbuffers::Vector<int32_t>* value_indices,
     EValue* values_,
@@ -92,12 +92,25 @@ parseListOptionalType(
  * @returns On success, the data pointer to use for the tensor. On failure, a
  *     non-Ok Error.
  */
-__ET_NODISCARD Result<void*> getTensorDataPtr(
+ET_NODISCARD Result<void*> getTensorDataPtr(
     const executorch_flatbuffer::Tensor* s_tensor,
     const Program* program,
     size_t nbytes,
     HierarchicalAllocator* allocator);
 
+} // namespace deserialization
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+namespace deserialization {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::deserialization::getTensorDataPtr;
+using ::executorch::runtime::deserialization::parseListOptionalType;
+using ::executorch::runtime::deserialization::parseTensor;
+using ::executorch::runtime::deserialization::parseTensorList;
 } // namespace deserialization
 } // namespace executor
 } // namespace torch
diff --git a/runtime/executor/tensor_parser_aten.cpp b/runtime/executor/tensor_parser_aten.cpp
index 0a7e59fa35..d92e7e6eb9 100644
--- a/runtime/executor/tensor_parser_aten.cpp
+++ b/runtime/executor/tensor_parser_aten.cpp
@@ -17,12 +17,10 @@
 
 #include <ATen/ATen.h> // @donotremove @manual=//caffe2/aten:ATen-core
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 namespace deserialization {
 
-using torch::executor::Error;
-
 namespace {
 
 void deleteNothing(void*);
@@ -70,7 +68,7 @@ Result<at::Tensor> parseTensor(
   std::vector<int64_t> sizes(
       s_tensor->sizes()->begin(), s_tensor->sizes()->end());
   std::vector<int64_t> strides(ndim);
-  auto status = torch::executor::dim_order_to_stride(
+  auto status = dim_order_to_stride(
       s_tensor->sizes()->data(),
       s_tensor->dim_order()->data(),
       ndim,
@@ -96,7 +94,7 @@ Result<at::Tensor> parseTensor(
     // within aten kernels.
     auto impl = tensor.unsafeGetTensorImpl();
     at::StorageImpl* storage = impl->unsafe_storage().unsafeGetStorageImpl();
-    storage->set_allocator(getCPUAllocator());
+    storage->set_allocator(at::getCPUAllocator());
     storage->set_resizable(true);
     storage->set_nbytes(0);
     impl->set_sizes_contiguous(0);
@@ -113,12 +111,12 @@ Result<at::Tensor> parseTensor(
       return data_ptr.error();
     }
     tensor.unsafeGetTensorImpl()->unsafe_storage().set_data_ptr(
-        at::DataPtr(data_ptr.get(), DeviceType::CPU));
+        at::DataPtr(data_ptr.get(), c10::DeviceType::CPU));
   }
 
   return tensor;
 }
 
 } // namespace deserialization
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
diff --git a/runtime/executor/tensor_parser_exec_aten.cpp b/runtime/executor/tensor_parser_exec_aten.cpp
index 2655e0bc69..f30d835ccc 100644
--- a/runtime/executor/tensor_parser_exec_aten.cpp
+++ b/runtime/executor/tensor_parser_exec_aten.cpp
@@ -15,11 +15,60 @@
 #include <executorch/runtime/platform/profiler.h>
 #include <executorch/schema/program_generated.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 namespace deserialization {
 
-__ET_NODISCARD Result<BoxedEvalueList<exec_aten::Tensor>> parseTensorList(
+// Provides access to private Program methods.
+class TensorParser final {
+ public:
+  ET_NODISCARD static Error load_mutable_subsegment_into(
+      const Program* program,
+      size_t mutable_data_segments_index,
+      size_t offset_index,
+      size_t size,
+      void* buffer) {
+    return program->load_mutable_subsegment_into(
+        mutable_data_segments_index, offset_index, size, buffer);
+  }
+};
+
+namespace {
+
+// Retrieve the buffer specified by the allocation_info
+ET_NODISCARD Result<void*> getMemPlannedPtr(
+    const executorch_flatbuffer::AllocationDetails* allocation_info,
+    size_t nbytes,
+    HierarchicalAllocator* allocator) {
+  // Normal non-constant Tensor. Allocate data using mem_id and offset.
+
+  // TODO(T142455629): make the allocator actually id based and not indexed
+  // based. -1 is a hack to get the memory ids 0 aligned because previously
+  // 0 was reserved
+  const uint32_t memory_id = allocation_info->memory_id() - 1;
+
+  // Originally this field was a single uint32_t, but we need 64 bits for
+  // larger models. To preserve backwards compatibility, the high bits are
+  // managed in a separate uint32_t field.
+  const uint32_t memory_offset_low = allocation_info->memory_offset_low();
+  const uint32_t memory_offset_high = allocation_info->memory_offset_high();
+
+  size_t memory_offset = memory_offset_low;
+  if (memory_offset_high > 0) {
+    // The compiler should remove this always-true check on 64-bit systems.
+    ET_CHECK_OR_RETURN_ERROR(
+        sizeof(size_t) >= sizeof(uint64_t),
+        NotSupported,
+        "size_t cannot hold memory offset 0x%08" PRIx32 ".%08" PRIx32,
+        memory_offset_high,
+        memory_offset_low);
+    memory_offset |= static_cast<size_t>(memory_offset_high) << 32;
+  }
+  return allocator->get_offset_address(memory_id, memory_offset, nbytes);
+}
+} // namespace
+
+ET_NODISCARD Result<BoxedEvalueList<exec_aten::Tensor>> parseTensorList(
     const flatbuffers::Vector<int32_t>* tensor_indices,
     EValue* values_,
     MemoryManager* memory_manager) {
@@ -48,56 +97,51 @@ __ET_NODISCARD Result<BoxedEvalueList<exec_aten::Tensor>> parseTensorList(
       evalp_list, tensor_list, tensor_indices->size());
 }
 
-__ET_NODISCARD Result<void*> getTensorDataPtr(
+ET_NODISCARD Result<void*> getTensorDataPtr(
     const executorch_flatbuffer::Tensor* s_tensor,
     const Program* program,
     size_t nbytes,
     HierarchicalAllocator* allocator) {
-  if (s_tensor->constant_buffer_idx() > 0) {
-    auto data = program->get_constant_buffer_data(
-        s_tensor->constant_buffer_idx(), nbytes);
-    if (!data.ok()) {
-      return data.error();
+  auto data_buffer_idx = s_tensor->data_buffer_idx();
+  const executorch_flatbuffer::AllocationDetails* allocation_info =
+      s_tensor->allocation_info();
+
+  // Memory Planned, with initial state
+  if (data_buffer_idx > 0 && allocation_info != nullptr) {
+    auto planned_ptr = getMemPlannedPtr(allocation_info, nbytes, allocator);
+    if (!planned_ptr.ok()) {
+      return planned_ptr.error();
+    }
+    auto err = TensorParser::load_mutable_subsegment_into(
+        program, 0, s_tensor->data_buffer_idx(), nbytes, planned_ptr.get());
+
+    if (err != Error::Ok) {
+      return err;
     }
+    return planned_ptr;
+
+    // Constant
+  } else if (data_buffer_idx > 0 && allocation_info == nullptr) {
+    auto const_data =
+        program->get_constant_buffer_data(data_buffer_idx, nbytes);
+    if (!const_data.ok()) {
+      return const_data.error();
+    }
+
     // The const_cast is 'ok' here because the program and runtime should
     // guarantee that this data is never modified.
-    return const_cast<void*>(data.get());
-  }
+    return const_cast<void*>(const_data.get());
 
-  const executorch_flatbuffer::AllocationDetails* allocation_info =
-      s_tensor->allocation_info();
-  if (allocation_info != nullptr) {
-    // Normal non-constant Tensor. Allocate data using mem_id and offset.
-
-    // TODO(T142455629): make the allocator actually id based and not indexed
-    // based. -1 is a hack to get the memory ids 0 aligned because previously
-    // 0 was reserved
-    const uint32_t memory_id = allocation_info->memory_id() - 1;
-
-    // Originally this field was a single uint32_t, but we need 64 bits for
-    // larger models. To preserve backwards compatibility, the high bits are
-    // managed in a separate uint32_t field.
-    const uint32_t memory_offset_low = allocation_info->memory_offset_low();
-    const uint32_t memory_offset_high = allocation_info->memory_offset_high();
-
-    size_t memory_offset = memory_offset_low;
-    if (memory_offset_high > 0) {
-      // The compiler should remove this always-true check on 64-bit systems.
-      ET_CHECK_OR_RETURN_ERROR(
-          sizeof(size_t) >= sizeof(uint64_t),
-          NotSupported,
-          "size_t cannot hold memory offset 0x%08" PRIx32 ".%08" PRIx32,
-          memory_offset_high,
-          memory_offset_low);
-      memory_offset |= static_cast<size_t>(memory_offset_high) << 32;
-    }
-    return allocator->get_offset_address(memory_id, memory_offset, nbytes);
-  }
+    // Memory planned, no initial state
+  } else if (data_buffer_idx == 0 && allocation_info != nullptr) {
+    return getMemPlannedPtr(allocation_info, nbytes, allocator);
 
-  // The tensor's data will be allocated as part of execution.
-  return nullptr;
+    // Pointer recived at runtime
+  } else { // data_buffer_idx == 0 && allocation_info == nullptr,
+    return nullptr;
+  }
 }
 
 } // namespace deserialization
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
diff --git a/runtime/executor/tensor_parser_portable.cpp b/runtime/executor/tensor_parser_portable.cpp
index b28b5de80a..3f190060f7 100644
--- a/runtime/executor/tensor_parser_portable.cpp
+++ b/runtime/executor/tensor_parser_portable.cpp
@@ -16,11 +16,15 @@
 #include <executorch/runtime/platform/profiler.h>
 #include <executorch/schema/program_generated.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 namespace deserialization {
 
-Result<torch::executor::Tensor> parseTensor(
+using torch::executor::ScalarType;
+using torch::executor::Tensor;
+using torch::executor::TensorImpl;
+
+Result<Tensor> parseTensor(
     const Program* program,
     MemoryManager* memory_manager,
     const executorch_flatbuffer::Tensor* s_tensor) {
@@ -103,18 +107,17 @@ Result<torch::executor::Tensor> parseTensor(
   // will introduce incompatible APIs between ATen Tensor and ETensor.
   exec_aten::StridesType* strides = ET_ALLOCATE_LIST_OR_RETURN_ERROR(
       method_allocator, exec_aten::StridesType, dim);
-  auto status =
-      torch::executor::dim_order_to_stride(sizes, dim_order, dim, strides);
+  auto status = dim_order_to_stride(sizes, dim_order, dim, strides);
   ET_CHECK_OR_RETURN_ERROR(
       status == Error::Ok,
       Internal,
       "dim_order_to_stride returned invalid status");
 
-  auto* tensor_impl = ET_ALLOCATE_INSTANCE_OR_RETURN_ERROR(
-      method_allocator, torch::executor::TensorImpl);
+  auto* tensor_impl =
+      ET_ALLOCATE_INSTANCE_OR_RETURN_ERROR(method_allocator, TensorImpl);
   // Placement new on the allocated memory space. Note that we create this first
   // with null data so we can find its expected size before getting its memory.
-  new (tensor_impl) torch::executor::TensorImpl(
+  new (tensor_impl) TensorImpl(
       scalar_type,
       dim,
       sizes,
@@ -138,9 +141,9 @@ Result<torch::executor::Tensor> parseTensor(
   }
   tensor_impl->set_data(data_ptr.get());
 
-  return torch::executor::Tensor(tensor_impl);
+  return Tensor(tensor_impl);
 }
 
 } // namespace deserialization
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
diff --git a/runtime/executor/test/allocation_failure_stress_test.cpp b/runtime/executor/test/allocation_failure_stress_test.cpp
index 21ad70dd85..9e0c857b93 100644
--- a/runtime/executor/test/allocation_failure_stress_test.cpp
+++ b/runtime/executor/test/allocation_failure_stress_test.cpp
@@ -11,12 +11,12 @@
 #include <memory>
 
 #include <executorch/extension/data_loader/file_data_loader.h>
+#include <executorch/extension/runner_util/inputs.h>
 #include <executorch/runtime/core/exec_aten/exec_aten.h>
 #include <executorch/runtime/executor/method.h>
 #include <executorch/runtime/executor/program.h>
 #include <executorch/runtime/executor/test/managed_memory_manager.h>
 #include <executorch/runtime/platform/runtime.h>
-#include <executorch/util/util.h>
 
 #include <gtest/gtest.h>
 
@@ -24,14 +24,15 @@ using namespace ::testing;
 using exec_aten::ArrayRef;
 using exec_aten::Scalar;
 using exec_aten::Tensor;
-using torch::executor::Error;
-using torch::executor::MemoryAllocator;
-using torch::executor::MemoryManager;
-using torch::executor::Method;
-using torch::executor::Program;
-using torch::executor::Result;
-using torch::executor::testing::ManagedMemoryManager;
-using torch::executor::util::FileDataLoader;
+using executorch::extension::FileDataLoader;
+using executorch::extension::prepare_input_tensors;
+using executorch::runtime::Error;
+using executorch::runtime::MemoryAllocator;
+using executorch::runtime::MemoryManager;
+using executorch::runtime::Method;
+using executorch::runtime::Program;
+using executorch::runtime::Result;
+using executorch::runtime::testing::ManagedMemoryManager;
 
 constexpr size_t kDefaultNonConstMemBytes = 32 * 1024U;
 constexpr size_t kDefaultRuntimeMemBytes = 32 * 1024U;
@@ -39,7 +40,7 @@ constexpr size_t kDefaultRuntimeMemBytes = 32 * 1024U;
 class AllocationFailureStressTest : public ::testing::Test {
  protected:
   void SetUp() override {
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
 
     // Create a loader for the serialized ModuleAdd program.
     const char* path = std::getenv("ET_MODULE_ADD_PATH");
@@ -85,10 +86,9 @@ TEST_F(AllocationFailureStressTest, End2EndIncreaseRuntimeMemUntilSuccess) {
 
     // Execution does not use the runtime allocator, so it should always succeed
     // once load was successful.
-    exec_aten::ArrayRef<void*> inputs =
-        torch::executor::util::PrepareInputTensors(*method);
+    auto input_cleanup = prepare_input_tensors(*method);
+    ASSERT_EQ(input_cleanup.error(), Error::Ok);
     err = method->execute();
-    torch::executor::util::FreeInputs(inputs);
     ASSERT_EQ(err, Error::Ok);
   }
   EXPECT_GT(num_load_failures, 0) << "Expected at least some failures";
@@ -121,10 +121,9 @@ TEST_F(AllocationFailureStressTest, End2EndNonConstantMemUntilSuccess) {
 
     // Execution does not use the runtime allocator, so it should always succeed
     // once load was successful.
-    exec_aten::ArrayRef<void*> inputs =
-        torch::executor::util::PrepareInputTensors(*method);
+    auto input_cleanup = prepare_input_tensors(*method);
+    ASSERT_EQ(input_cleanup.error(), Error::Ok);
     err = method->execute();
-    torch::executor::util::FreeInputs(inputs);
     ASSERT_EQ(err, Error::Ok);
   }
   EXPECT_GT(num_load_failures, 0) << "Expected at least some failures";
diff --git a/runtime/executor/test/backend_integration_test.cpp b/runtime/executor/test/backend_integration_test.cpp
index 2e49d84873..9180d77aa3 100644
--- a/runtime/executor/test/backend_integration_test.cpp
+++ b/runtime/executor/test/backend_integration_test.cpp
@@ -14,6 +14,7 @@
 
 #include <executorch/extension/data_loader/buffer_data_loader.h>
 #include <executorch/extension/data_loader/file_data_loader.h>
+#include <executorch/extension/runner_util/inputs.h>
 #include <executorch/runtime/backend/interface.h>
 #include <executorch/runtime/core/error.h>
 #include <executorch/runtime/core/result.h>
@@ -23,34 +24,33 @@
 #include <executorch/runtime/platform/runtime.h>
 #include <executorch/test/utils/DeathTest.h>
 #include <executorch/test/utils/alignment.h>
-#include <executorch/util/util.h>
 
 #include <gtest/gtest.h>
 
 using namespace ::testing;
 using exec_aten::ArrayRef;
-using torch::executor::BackendExecutionContext;
-using torch::executor::BackendInitContext;
-using torch::executor::CompileSpec;
-using torch::executor::DataLoader;
-using torch::executor::DelegateHandle;
-using torch::executor::Error;
-using torch::executor::EValue;
-using torch::executor::FreeableBuffer;
-using torch::executor::MemoryAllocator;
-using torch::executor::Method;
-using torch::executor::Program;
-using torch::executor::PyTorchBackendInterface;
-using torch::executor::Result;
-using torch::executor::testing::ManagedMemoryManager;
+using executorch::runtime::BackendExecutionContext;
+using executorch::runtime::BackendInitContext;
+using executorch::runtime::BackendInterface;
+using executorch::runtime::CompileSpec;
+using executorch::runtime::DataLoader;
+using executorch::runtime::DelegateHandle;
+using executorch::runtime::Error;
+using executorch::runtime::EValue;
+using executorch::runtime::FreeableBuffer;
+using executorch::runtime::MemoryAllocator;
+using executorch::runtime::Method;
+using executorch::runtime::Program;
+using executorch::runtime::Result;
+using executorch::runtime::testing::ManagedMemoryManager;
 using torch::executor::util::FileDataLoader;
 
 /**
  * A backend class whose methods can be overridden individually.
  */
-class StubBackend final : public PyTorchBackendInterface {
+class StubBackend final : public BackendInterface {
  public:
-  // Function signature types that match the PyTorchBackendInterface methods.
+  // Function signature types that match the BackendInterface methods.
   using IsAvailableFn = std::function<bool()>;
   using InitFn = std::function<Result<DelegateHandle*>(
       FreeableBuffer*,
@@ -95,7 +95,7 @@ class StubBackend final : public PyTorchBackendInterface {
   }
 
   Error execute(
-      __ET_UNUSED BackendExecutionContext& context,
+      ET_UNUSED BackendExecutionContext& context,
       DelegateHandle* handle,
       EValue** args) const override {
     if (execute_fn_) {
@@ -135,7 +135,7 @@ class StubBackend final : public PyTorchBackendInterface {
   static Error register_singleton(const char* name = kName) {
     if (!registered_) {
       registered_ = true;
-      return torch::executor::register_backend({name, &singleton_});
+      return executorch::runtime::register_backend({name, &singleton_});
     }
     return Error::Ok;
   }
@@ -164,7 +164,7 @@ StubBackend StubBackend::singleton_;
  * A DataLoader that wraps a real DataLoader and records the operations
  * performed on it and the FreeableBuffers it loads.
  */
-class DataLoaderSpy : public DataLoader {
+class DataLoaderSpy final : public DataLoader {
  public:
   /// A record of an operation performed on this DataLoader.
   struct Operation {
@@ -178,8 +178,10 @@ class DataLoaderSpy : public DataLoader {
 
   explicit DataLoaderSpy(DataLoader* delegate) : delegate_(delegate) {}
 
-  Result<FreeableBuffer>
-  load(size_t offset, size_t size, const SegmentInfo& segment_info) override {
+  Result<FreeableBuffer> load(
+      size_t offset,
+      size_t size,
+      const SegmentInfo& segment_info) const override {
     Result<FreeableBuffer> buf = delegate_->load(offset, size, segment_info);
     if (!buf.ok()) {
       return buf.error();
@@ -268,7 +270,7 @@ class DataLoaderSpy : public DataLoader {
   /// The real loader to delegate to.
   DataLoader* delegate_;
 
-  std::vector<Operation> operations_;
+  mutable std::vector<Operation> operations_;
 };
 
 constexpr size_t kDefaultNonConstMemBytes = 32 * 1024;
@@ -279,7 +281,7 @@ class BackendIntegrationTest : public ::testing::TestWithParam<bool> {
   void SetUp() override {
     // Since these tests cause ET_LOG to be called, the PAL must be initialized
     // first.
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
 
     // Make sure that the backend has been registered. Safe to call multiple
     // times. Doing this at runtime ensures that it's only registered if these
@@ -323,8 +325,8 @@ class BackendIntegrationTest : public ::testing::TestWithParam<bool> {
 };
 
 TEST_P(BackendIntegrationTest, BackendIsPresent) {
-  PyTorchBackendInterface* backend =
-      torch::executor::get_backend_class(StubBackend::kName);
+  BackendInterface* backend =
+      executorch::runtime::get_backend_class(StubBackend::kName);
   ASSERT_EQ(backend, &StubBackend::singleton());
 }
 
@@ -348,8 +350,8 @@ TEST_P(BackendIntegrationTest, FreeingProcessedBufferSucceeds) {
   const void* processed_data = nullptr;
   StubBackend::singleton().install_init(
       [&](FreeableBuffer* processed,
-          __ET_UNUSED ArrayRef<CompileSpec> compile_specs,
-          __ET_UNUSED MemoryAllocator* runtime_allocator)
+          ET_UNUSED ArrayRef<CompileSpec> compile_specs,
+          ET_UNUSED MemoryAllocator* runtime_allocator)
           -> Result<DelegateHandle*> {
         init_called = true;
         processed_data = processed->data();
@@ -392,8 +394,8 @@ TEST_P(BackendIntegrationTest, EndToEndTestWithProcessedAsHandle) {
   FreeableBuffer* init_processed = nullptr;
   StubBackend::singleton().install_init(
       [&](FreeableBuffer* processed,
-          __ET_UNUSED ArrayRef<CompileSpec> compile_specs,
-          __ET_UNUSED MemoryAllocator* runtime_allocator)
+          ET_UNUSED ArrayRef<CompileSpec> compile_specs,
+          ET_UNUSED MemoryAllocator* runtime_allocator)
           -> Result<DelegateHandle*> {
         init_processed = processed;
         return processed;
@@ -403,7 +405,7 @@ TEST_P(BackendIntegrationTest, EndToEndTestWithProcessedAsHandle) {
   // FreeableBuffer.
   DelegateHandle* execute_handle = nullptr;
   StubBackend::singleton().install_execute(
-      [&](DelegateHandle* handle, __ET_UNUSED EValue** args) -> Error {
+      [&](DelegateHandle* handle, ET_UNUSED EValue** args) -> Error {
         execute_handle = handle;
         auto* processed = reinterpret_cast<FreeableBuffer*>(handle);
 
@@ -452,10 +454,9 @@ TEST_P(BackendIntegrationTest, EndToEndTestWithProcessedAsHandle) {
     EXPECT_FALSE(spy_loader.WasFreed(init_processed->data()));
     auto method(std::move(method_res.get()));
     // Execute the model.
-    exec_aten::ArrayRef<void*> inputs =
-        torch::executor::util::PrepareInputTensors(method);
+    auto input_cleanup = executorch::extension::prepare_input_tensors(method);
+    ASSERT_EQ(input_cleanup.error(), Error::Ok);
     auto err = method.execute();
-    torch::executor::util::FreeInputs(inputs);
     EXPECT_EQ(err, Error::Ok);
 
     // Check that the processed buffer was passed to execute() as the handle.
@@ -490,8 +491,8 @@ TEST_P(BackendIntegrationTest, SegmentInfoIsPassedIntoDataLoader) {
   const void* processed_data = nullptr;
   StubBackend::singleton().install_init(
       [&](FreeableBuffer* processed,
-          __ET_UNUSED ArrayRef<CompileSpec> compile_specs,
-          __ET_UNUSED MemoryAllocator* runtime_allocator)
+          ET_UNUSED ArrayRef<CompileSpec> compile_specs,
+          ET_UNUSED MemoryAllocator* runtime_allocator)
           -> Result<DelegateHandle*> {
         processed_data = processed->data();
         processed->Free();
@@ -546,7 +547,7 @@ class DelegateDataAlignmentTest : public ::testing::TestWithParam<bool> {
   void SetUp() override {
     // Since these tests cause ET_LOG to be called, the PAL must be initialized
     // first.
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
 
     // Make sure that the backend has been registered. Safe to call multiple
     // times. Doing this at runtime ensures that it's only registered if these
@@ -604,8 +605,8 @@ TEST_P(DelegateDataAlignmentTest, ExpectedDataAlignment) {
   const void* processed_data = nullptr;
   StubBackend::singleton().install_init(
       [&](FreeableBuffer* processed,
-          __ET_UNUSED ArrayRef<CompileSpec> compile_specs,
-          __ET_UNUSED MemoryAllocator* runtime_allocator)
+          ET_UNUSED ArrayRef<CompileSpec> compile_specs,
+          ET_UNUSED MemoryAllocator* runtime_allocator)
           -> Result<DelegateHandle*> {
         processed_data = processed->data();
         return nullptr;
diff --git a/runtime/executor/test/executor_test.cpp b/runtime/executor/test/executor_test.cpp
index 4917e04c12..15b3982297 100644
--- a/runtime/executor/test/executor_test.cpp
+++ b/runtime/executor/test/executor_test.cpp
@@ -22,19 +22,23 @@ using exec_aten::Scalar;
 using exec_aten::ScalarType;
 using exec_aten::SizesType;
 using exec_aten::Tensor;
-using torch::executor::Error;
-using torch::executor::EValue;
-using torch::executor::getOpsFn;
-using torch::executor::hasOpsFn;
-using torch::executor::Kernel;
-using torch::executor::KernelRuntimeContext;
-using torch::executor::register_kernels;
-using torch::executor::testing::TensorFactory;
+using executorch::runtime::Error;
+using executorch::runtime::EValue;
+using executorch::runtime::get_op_function_from_registry;
+using executorch::runtime::Kernel;
+using executorch::runtime::KernelRuntimeContext;
+using executorch::runtime::OpFunction;
+using executorch::runtime::register_kernel;
+using executorch::runtime::registry_has_op_function;
+using executorch::runtime::Result;
+using executorch::runtime::testing::TensorFactory;
+
+namespace pytree = ::executorch::extension::pytree;
 
 class ExecutorTest : public ::testing::Test {
  protected:
   void SetUp() override {
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
   }
 };
 
@@ -85,9 +89,9 @@ TEST_F(ExecutorTest, TensorHalf) {
 
 TEST_F(ExecutorTest, RegistryLookupAndCall) {
   const char* op_name = "aten::add.out";
-  ASSERT_TRUE(hasOpsFn(op_name));
-  auto func = getOpsFn(op_name);
-  ASSERT_TRUE(func);
+  Result<OpFunction> func = get_op_function_from_registry(op_name);
+  ASSERT_EQ(func.error(), Error::Ok);
+  ASSERT_NE(*func, nullptr);
 
   TensorFactory<ScalarType::Int> tf;
   constexpr size_t num_evalues = 4;
@@ -106,7 +110,7 @@ TEST_F(ExecutorTest, RegistryLookupAndCall) {
   kernel_args[4] = &evalues[3];
 
   KernelRuntimeContext context{};
-  func(context, kernel_args);
+  (*func)(context, kernel_args);
   auto c_ptr = evalues[3].toTensor().const_data_ptr<int32_t>();
   ASSERT_EQ(c_ptr[3], 12);
 }
@@ -164,15 +168,15 @@ TEST_F(ExecutorTest, EValueToScalar) {
 void test_op(KernelRuntimeContext& /*unused*/, EValue** /*unused*/) {}
 
 TEST_F(ExecutorTest, OpRegistration) {
-  auto s1 = register_kernels({Kernel("test", test_op)});
-  auto s2 = register_kernels({Kernel("test_2", test_op)});
+  auto s1 = register_kernel(Kernel("test", test_op));
+  auto s2 = register_kernel(Kernel("test_2", test_op));
   ASSERT_EQ(Error::Ok, s1);
   ASSERT_EQ(Error::Ok, s2);
   ET_EXPECT_DEATH(
-      []() { (void)register_kernels({Kernel("test", test_op)}); }(), "");
+      []() { (void)register_kernel(Kernel("test", test_op)); }(), "");
 
-  ASSERT_TRUE(hasOpsFn("test"));
-  ASSERT_TRUE(hasOpsFn("test_2"));
+  ASSERT_TRUE(registry_has_op_function("test"));
+  ASSERT_TRUE(registry_has_op_function("test_2"));
 }
 
 TEST_F(ExecutorTest, OpRegistrationWithContext) {
@@ -182,25 +186,27 @@ TEST_F(ExecutorTest, OpRegistrationWithContext) {
         (void)context;
         *(values[0]) = Scalar(100);
       });
-  auto s1 = register_kernels({op});
+  auto s1 = register_kernel(op);
   ASSERT_EQ(Error::Ok, s1);
-  ASSERT_TRUE(hasOpsFn("test_op_with_context"));
 
-  auto func = getOpsFn("test_op_with_context");
+  Result<OpFunction> func =
+      get_op_function_from_registry("test_op_with_context");
+  ASSERT_EQ(func.error(), Error::Ok);
+
   EValue values[1];
   values[0] = Scalar(0);
   EValue* kernels[1];
   kernels[0] = &values[0];
   KernelRuntimeContext context{};
-  func(context, kernels);
+  (*func)(context, kernels);
 
   auto val = values[0].toScalar().to<int64_t>();
   ASSERT_EQ(val, 100);
 }
 
 TEST_F(ExecutorTest, AddMulAlreadyRegistered) {
-  ASSERT_TRUE(hasOpsFn("aten::add.out"));
-  ASSERT_TRUE(hasOpsFn("aten::mul.out"));
+  ASSERT_TRUE(registry_has_op_function("aten::add.out"));
+  ASSERT_TRUE(registry_has_op_function("aten::mul.out"));
 }
 
 TEST(PyTreeEValue, List) {
@@ -210,7 +216,7 @@ TEST(PyTreeEValue, List) {
   Scalar d((double)3.0);
   EValue items[2] = {i, d};
 
-  auto c = torch::executor::pytree::unflatten(spec, items);
+  auto c = pytree::unflatten(spec, items);
   ASSERT_TRUE(c.isList());
   ASSERT_EQ(c.size(), 2);
 
@@ -232,7 +238,7 @@ TEST(PyTreeEValue, List) {
 
 auto unflatten(EValue* items) {
   std::string spec = "D4#1#1#1#1('key0':$,1:$,23:$,123:$)";
-  return torch::executor::pytree::unflatten(spec, items);
+  return pytree::unflatten(spec, items);
 }
 
 TEST(PyTreeEValue, DestructedSpec) {
@@ -249,8 +255,8 @@ TEST(PyTreeEValue, DestructedSpec) {
   auto& key0 = c.key(0);
   auto& key1 = c.key(1);
 
-  ASSERT_TRUE(key0 == torch::executor::pytree::Key("key0"));
-  ASSERT_TRUE(key1 == torch::executor::pytree::Key(1));
+  ASSERT_TRUE(key0 == pytree::Key("key0"));
+  ASSERT_TRUE(key1 == pytree::Key(1));
 
   const auto& child0 = c[0];
   const auto& child1 = c[1];
diff --git a/runtime/executor/test/kernel_integration_test.cpp b/runtime/executor/test/kernel_integration_test.cpp
index ccf9611520..4f1ac0240b 100644
--- a/runtime/executor/test/kernel_integration_test.cpp
+++ b/runtime/executor/test/kernel_integration_test.cpp
@@ -13,6 +13,7 @@
 #include <memory>
 
 #include <executorch/extension/data_loader/file_data_loader.h>
+#include <executorch/extension/runner_util/inputs.h>
 #include <executorch/runtime/core/error.h>
 #include <executorch/runtime/core/result.h>
 #include <executorch/runtime/executor/method.h>
@@ -22,22 +23,22 @@
 #include <executorch/runtime/kernel/operator_registry.h>
 #include <executorch/runtime/platform/compiler.h>
 #include <executorch/runtime/platform/runtime.h>
-#include <executorch/util/util.h>
 
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-using torch::executor::ArrayRef;
-using torch::executor::Error;
-using torch::executor::EValue;
-using torch::executor::FreeableBuffer;
-using torch::executor::Kernel;
-using torch::executor::KernelKey;
-using torch::executor::KernelRuntimeContext;
-using torch::executor::Method;
-using torch::executor::Program;
-using torch::executor::Result;
-using torch::executor::testing::ManagedMemoryManager;
+using executorch::runtime::ArrayRef;
+using executorch::runtime::Error;
+using executorch::runtime::EValue;
+using executorch::runtime::FreeableBuffer;
+using executorch::runtime::Kernel;
+using executorch::runtime::KernelKey;
+using executorch::runtime::KernelRuntimeContext;
+using executorch::runtime::MemoryAllocator;
+using executorch::runtime::Method;
+using executorch::runtime::Program;
+using executorch::runtime::Result;
+using executorch::runtime::testing::ManagedMemoryManager;
 using torch::executor::util::FileDataLoader;
 
 constexpr size_t kDefaultNonConstMemBytes = 32 * 1024U;
@@ -59,10 +60,26 @@ struct KernelControl {
   // returning.
   Error fail_value = Error::Ok;
 
+  // If true, the kernel should allocate temporary memory.
+  bool allocate_temp_memory = false;
+
+  // If true, the kernel should simulate allocating temporary memory.
+  bool simulate_temp_memory_allocation = false;
+
+  // The size of the temporary memory to allocate.
+  int temp_memory_size = 0;
+
+  // The total size of all allocations.
+  int total_allocated_size = 0;
+
   void reset() {
     call_count = 0;
     call_context_fail = false;
     fail_value = Error::Ok;
+    allocate_temp_memory = false;
+    simulate_temp_memory_allocation = false;
+    temp_memory_size = 0;
+    total_allocated_size = 0;
   }
 
   /**
@@ -90,10 +107,11 @@ struct KernelControl {
     //     TensorMeta(ScalarType::Float, contiguous), // other
     //     TensorMeta(ScalarType::Float, contiguous), // out
     //     TensorMeta(ScalarType::Float, contiguous)}; // out (repeated)
-    KernelKey key = torch::executor::KernelKey("v1/6;0,1|6;0,1|6;0,1|6;0,1");
-    Kernel kernel = torch::executor::Kernel(
+    KernelKey key =
+        executorch::runtime::KernelKey("v1/6;0,1|6;0,1|6;0,1|6;0,1");
+    Kernel kernel = executorch::runtime::Kernel(
         "aten::add.out", key, KernelControl::kernel_hook);
-    Error err = torch::executor::register_kernels({kernel});
+    Error err = executorch::runtime::register_kernel(kernel);
     EXPECT_EQ(err, Error::Ok);
 
     registered_ = true;
@@ -110,12 +128,39 @@ struct KernelControl {
    */
   static void kernel_hook(
       KernelRuntimeContext& context,
-      __ET_UNUSED EValue** args) {
+      ET_UNUSED EValue** args) {
     auto* control = KernelControl::singleton();
     control->call_count++;
     if (control->call_context_fail) {
       context.fail(control->fail_value);
     }
+
+    // Allocate temporary memory.
+    if (control->allocate_temp_memory) {
+      Result<void*> temp_mem_res =
+          context.allocate_temp(control->temp_memory_size);
+      if (temp_mem_res.ok()) {
+        control->total_allocated_size += control->temp_memory_size;
+        // We actually use the memory, to test default memory allocation was
+        // successful.
+        uint8_t* array = (uint8_t*)(temp_mem_res.get());
+        for (int i = 0; i < control->temp_memory_size; i++) {
+          array[i] = i % 256;
+        }
+      }
+    }
+
+    // Simulate allocating temporary memory. We use this, for testing that when
+    // a temp allocator is provided, the kernel will use it, instead of
+    // allocating memory with the default platform memory allocator.
+    // The provided TempMemoryAllocator class in this file, simulates allocating
+    // memory instead of actually allocating anything.
+    if (control->simulate_temp_memory_allocation) {
+      Result<void*> temp_mem_res =
+          context.allocate_temp(control->temp_memory_size);
+      control->total_allocated_size += control->temp_memory_size;
+      EXPECT_EQ(temp_mem_res.error(), Error::Ok);
+    }
   }
 
   static bool registered_;
@@ -125,10 +170,48 @@ struct KernelControl {
 bool KernelControl::registered_ = false;
 KernelControl KernelControl::singleton_;
 
+/**
+ * MemoryAllocator that keeps track of the number/sizes of its allocations,
+ * to test the case where the user provides a temp allocator.
+ */
+class TempMemoryAllocator final : public MemoryAllocator {
+ public:
+  TempMemoryAllocator() : MemoryAllocator(0, nullptr) {}
+
+  // The number of times allocate() has been called.
+  int number_of_allocations = 0;
+
+  // The number of times reset() has been called.
+  int number_of_resets = 0;
+
+  // The amount of memory currently allocated (should go to 0 when reset is
+  // called).
+  int currently_allocated_size = 0;
+
+  // The total size of all allocations.
+  int total_allocated_size = 0;
+
+  void* allocate(size_t size, ET_UNUSED size_t alignment = kDefaultAlignment)
+      override {
+    number_of_allocations += 1;
+    currently_allocated_size += size;
+    total_allocated_size += size;
+    // This is a simulation, we don't actually allocate memory. But we need to
+    // return a non-null pointer, so we return a bad, non-zero address that will
+    // crash if anyone tries to dereference it.
+    return (void*)1;
+  }
+
+  void reset() override {
+    number_of_resets += 1;
+    currently_allocated_size = 0;
+  }
+};
+
 class KernelIntegrationTest : public ::testing::Test {
  protected:
   void SetUp() override {
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
 
     // Register the controllable kernel hook.
     KernelControl::register_singleton();
@@ -151,18 +234,23 @@ class KernelIntegrationTest : public ::testing::Test {
 
     // Load the forward method.
     mmm_ = std::make_unique<ManagedMemoryManager>(
-        kDefaultNonConstMemBytes, kDefaultRuntimeMemBytes);
+        kDefaultNonConstMemBytes,
+        kDefaultRuntimeMemBytes,
+        temp_allocator_.get());
     Result<Method> method = program_->load_method("forward", &mmm_->get());
     ASSERT_EQ(method.error(), Error::Ok);
     method_ = std::make_unique<Method>(std::move(method.get()));
 
     // Set up its inputs.
-    inputs_ = torch::executor::util::PrepareInputTensors(*method_);
+    auto inputs_cleanup =
+        executorch::extension::prepare_input_tensors(*method_);
+    ASSERT_EQ(inputs_cleanup.error(), Error::Ok);
+    inputs_cleanup_ = std::make_unique<executorch::extension::BufferCleanup>(
+        std::move(*inputs_cleanup));
   }
 
   void TearDown() override {
-    torch::executor::util::FreeInputs(inputs_);
-    inputs_ = {};
+    inputs_cleanup_.reset();
   }
 
  private:
@@ -172,7 +260,7 @@ class KernelIntegrationTest : public ::testing::Test {
   // Must outlive method_
   std::unique_ptr<Program> program_;
   std::unique_ptr<ManagedMemoryManager> mmm_;
-  ArrayRef<void*> inputs_;
+  std::unique_ptr<executorch::extension::BufferCleanup> inputs_cleanup_;
 
  protected:
   // An executable method that will call the kernel associated with control_.
@@ -181,6 +269,19 @@ class KernelIntegrationTest : public ::testing::Test {
 
   // The KernelControl associated with method_.
   KernelControl* control_;
+
+  // The temp memory allocator provided by the user. By default, none is
+  // provided.
+  std::unique_ptr<TempMemoryAllocator> temp_allocator_ = nullptr;
+};
+
+class KernelTempMemoryAllocatorIntegrationTest : public KernelIntegrationTest {
+ protected:
+  void SetUp() override {
+    // Create a temp allocator for the test before calling the parent SetUp.
+    temp_allocator_ = std::make_unique<TempMemoryAllocator>();
+    KernelIntegrationTest::SetUp();
+  }
 };
 
 TEST_F(KernelIntegrationTest, KernelHookIsCalled) {
@@ -218,3 +319,63 @@ TEST_F(KernelIntegrationTest, FailurePropagates) {
   EXPECT_EQ(err, Error::Ok);
   EXPECT_EQ(control_->call_count, 3);
 }
+
+TEST_F(KernelIntegrationTest, DefaultPlatformMemoryAllocator) {
+  // Tell the kernel to allocate memory. Since no temp allocator is provided,
+  // this will allocate memory using the default platform memory allocator.
+  control_->allocate_temp_memory = true;
+
+  control_->temp_memory_size = 4;
+  // This is not a simulation. This actually allocates memory, using the
+  // default platform memory allocator.
+  Error err = method_->execute();
+  EXPECT_EQ(err, Error::Ok);
+  EXPECT_EQ(control_->call_count, 1);
+  EXPECT_EQ(control_->total_allocated_size, 4);
+
+  control_->temp_memory_size = 8;
+  // This is not a simulation. This actually allocates memory, using the
+  // default platform memory allocator.
+  err = method_->execute();
+  EXPECT_EQ(err, Error::Ok);
+  EXPECT_EQ(control_->call_count, 2);
+  EXPECT_EQ(control_->total_allocated_size, 12);
+}
+
+TEST_F(KernelTempMemoryAllocatorIntegrationTest, UsingTempMemoryAllocator) {
+  // In this test we provide a temp allocator to the method, and tell the kernel
+  // to allocate memory using it. We want to make sure that the kernel uses the
+  // temp allocator, and that the temp allocator is reset after the execution.
+  // Since we are testing that the kernel uses the temp allocator, and not the
+  // temp allocator itself, we don't need to test the actual allocation of
+  // memory. Therefore, we set simulate_temp_memory_allocation to true, so that
+  // the kernel will not actually allocate memory, but will instead simulate
+  // allocating memory.
+  // The provided TempMemoryAllocator, simulates allocating memory by increasing
+  // total_allocated_size and currently_allocated_size by the requested size.
+  // We simulate resetting the allocator by setting currently_allocated_size
+  // back to 0.
+  control_->simulate_temp_memory_allocation = true;
+
+  control_->temp_memory_size = 4;
+  Error err = method_->execute();
+  EXPECT_EQ(err, Error::Ok);
+  EXPECT_EQ(control_->call_count, 1);
+  EXPECT_EQ(control_->total_allocated_size, 4);
+  EXPECT_EQ(temp_allocator_->number_of_allocations, 1);
+  EXPECT_EQ(temp_allocator_->total_allocated_size, 4);
+  // The temp allocator should have been reset after the execution.
+  EXPECT_EQ(temp_allocator_->number_of_resets, 1);
+  EXPECT_EQ(temp_allocator_->currently_allocated_size, 0);
+
+  control_->temp_memory_size = 8;
+  err = method_->execute();
+  EXPECT_EQ(err, Error::Ok);
+  EXPECT_EQ(control_->call_count, 2);
+  EXPECT_EQ(control_->total_allocated_size, 12);
+  EXPECT_EQ(temp_allocator_->number_of_allocations, 2);
+  EXPECT_EQ(temp_allocator_->total_allocated_size, 12);
+  // The temp allocator should have been reset after the execution.
+  EXPECT_EQ(temp_allocator_->number_of_resets, 2);
+  EXPECT_EQ(temp_allocator_->currently_allocated_size, 0);
+}
diff --git a/runtime/executor/test/kernel_resolution_test.cpp b/runtime/executor/test/kernel_resolution_test.cpp
index 100babe21d..aae0ff9b7e 100644
--- a/runtime/executor/test/kernel_resolution_test.cpp
+++ b/runtime/executor/test/kernel_resolution_test.cpp
@@ -25,19 +25,19 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-using torch::executor::Error;
-using torch::executor::EValue;
-using torch::executor::Kernel;
-using torch::executor::KernelKey;
-using torch::executor::KernelRuntimeContext;
-using torch::executor::Method;
-using torch::executor::Program;
-using torch::executor::register_kernels;
-using torch::executor::Result;
-using torch::executor::Scalar;
-using torch::executor::ScalarType;
-using torch::executor::TensorMeta;
-using torch::executor::testing::ManagedMemoryManager;
+using exec_aten::Scalar;
+using exec_aten::ScalarType;
+using executorch::runtime::Error;
+using executorch::runtime::EValue;
+using executorch::runtime::Kernel;
+using executorch::runtime::KernelKey;
+using executorch::runtime::KernelRuntimeContext;
+using executorch::runtime::Method;
+using executorch::runtime::Program;
+using executorch::runtime::register_kernel;
+using executorch::runtime::Result;
+using executorch::runtime::TensorMeta;
+using executorch::runtime::testing::ManagedMemoryManager;
 using torch::executor::util::FileDataLoader;
 
 constexpr size_t kDefaultNonConstMemBytes = 32 * 1024U;
@@ -48,7 +48,7 @@ class KernelResolutionTest : public ::testing::Test {
   void SetUp() override {
     // Since these tests cause ET_LOG to be called, the PAL must be initialized
     // first.
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
 
     // Create a loader for the serialized ModuleAdd program.
     const char* path = std::getenv("ET_MODULE_ADD_PATH");
@@ -77,8 +77,8 @@ TEST_F(KernelResolutionTest, InitExecutionPlanSuccess) {
         (void)context;
         *(stack[0]) = Scalar(100);
       });
-  auto s1 = register_kernels({kernel_1});
-  EXPECT_EQ(s1, torch::executor::Error::Ok);
+  auto s1 = register_kernel(kernel_1);
+  EXPECT_EQ(s1, executorch::runtime::Error::Ok);
 
   ManagedMemoryManager mmm(kDefaultNonConstMemBytes, kDefaultRuntimeMemBytes);
   auto method = program_->load_method("forward", &mmm.get());
@@ -109,8 +109,8 @@ TEST_F(KernelResolutionTest, ResolveKernelKeySuccess) {
         (void)context;
         *(stack[0]) = Scalar(100);
       });
-  auto s1 = register_kernels({kernel_1});
-  EXPECT_EQ(s1, torch::executor::Error::Ok);
+  auto s1 = register_kernel(kernel_1);
+  EXPECT_EQ(s1, executorch::runtime::Error::Ok);
 
   ManagedMemoryManager mmm(kDefaultNonConstMemBytes, kDefaultRuntimeMemBytes);
   auto method = program_->load_method("forward", &mmm.get());
diff --git a/runtime/executor/test/managed_memory_manager.h b/runtime/executor/test/managed_memory_manager.h
index a3bf05fe00..a01091527b 100644
--- a/runtime/executor/test/managed_memory_manager.h
+++ b/runtime/executor/test/managed_memory_manager.h
@@ -15,8 +15,8 @@
 #include <executorch/runtime/core/memory_allocator.h>
 #include <executorch/runtime/executor/memory_manager.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 namespace testing {
 
 /**
@@ -27,7 +27,8 @@ class ManagedMemoryManager {
  public:
   ManagedMemoryManager(
       size_t planned_memory_bytes,
-      size_t method_allocator_bytes)
+      size_t method_allocator_bytes,
+      MemoryAllocator* temp_allocator = nullptr)
       : planned_memory_buffer_(new uint8_t[planned_memory_bytes]),
         planned_memory_span_(
             planned_memory_buffer_.get(),
@@ -35,7 +36,7 @@ class ManagedMemoryManager {
         planned_memory_({&planned_memory_span_, 1}),
         method_allocator_pool_(new uint8_t[method_allocator_bytes]),
         method_allocator_(method_allocator_bytes, method_allocator_pool_.get()),
-        memory_manager_(&method_allocator_, &planned_memory_) {}
+        memory_manager_(&method_allocator_, &planned_memory_, temp_allocator) {}
 
   MemoryManager& get() {
     return memory_manager_;
@@ -44,7 +45,7 @@ class ManagedMemoryManager {
  private:
   std::unique_ptr<uint8_t[]> planned_memory_buffer_;
   Span<uint8_t> planned_memory_span_;
-  torch::executor::HierarchicalAllocator planned_memory_;
+  HierarchicalAllocator planned_memory_;
 
   std::unique_ptr<uint8_t[]> method_allocator_pool_;
   MemoryAllocator method_allocator_;
@@ -52,6 +53,16 @@ class ManagedMemoryManager {
   MemoryManager memory_manager_;
 };
 
+} // namespace testing
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+namespace testing {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::testing::ManagedMemoryManager;
 } // namespace testing
 } // namespace executor
 } // namespace torch
diff --git a/runtime/executor/test/memory_manager_test.cpp b/runtime/executor/test/memory_manager_test.cpp
index e79f7acd1a..ecbb60fe02 100644
--- a/runtime/executor/test/memory_manager_test.cpp
+++ b/runtime/executor/test/memory_manager_test.cpp
@@ -14,9 +14,9 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-
-namespace torch {
-namespace executor {
+using executorch::runtime::HierarchicalAllocator;
+using executorch::runtime::MemoryAllocator;
+using executorch::runtime::MemoryManager;
 
 TEST(MemoryManagerTest, MinimalCtor) {
   MemoryAllocator method_allocator(0, nullptr);
@@ -93,6 +93,3 @@ TEST(MemoryManagerTest, CtorWithSameAllocator) {
           /*temp_allocator=*/&method_allocator),
       "");
 }
-
-} // namespace executor
-} // namespace torch
diff --git a/runtime/executor/test/method_meta_test.cpp b/runtime/executor/test/method_meta_test.cpp
index a66ec55ad6..bd48f64d98 100644
--- a/runtime/executor/test/method_meta_test.cpp
+++ b/runtime/executor/test/method_meta_test.cpp
@@ -6,21 +6,22 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#include <executorch/runtime/executor/method_meta.h>
+
 #include <cstdlib>
 #include <filesystem>
 
 #include <executorch/extension/data_loader/file_data_loader.h>
 #include <executorch/runtime/core/exec_aten/exec_aten.h>
-#include <executorch/runtime/executor/method_meta.h>
 #include <executorch/runtime/executor/program.h>
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-using torch::executor::Error;
-using torch::executor::MethodMeta;
-using torch::executor::Program;
-using torch::executor::Result;
-using torch::executor::TensorInfo;
+using executorch::runtime::Error;
+using executorch::runtime::MethodMeta;
+using executorch::runtime::Program;
+using executorch::runtime::Result;
+using executorch::runtime::TensorInfo;
 using torch::executor::util::FileDataLoader;
 
 class MethodMetaTest : public ::testing::Test {
@@ -60,6 +61,7 @@ void check_tensor(const TensorInfo& tensor_info) {
   EXPECT_EQ(dim_order.size(), 2);
   EXPECT_EQ(dim_order[0], 0);
   EXPECT_EQ(dim_order[1], 1);
+  EXPECT_EQ(tensor_info.is_memory_planned(), true);
   EXPECT_EQ(tensor_info.nbytes(), 16);
 }
 } // namespace
diff --git a/runtime/executor/test/method_test.cpp b/runtime/executor/test/method_test.cpp
index 65c7a7ddff..0163c8ceef 100644
--- a/runtime/executor/test/method_test.cpp
+++ b/runtime/executor/test/method_test.cpp
@@ -10,23 +10,24 @@
 #include <filesystem>
 
 #include <executorch/extension/data_loader/file_data_loader.h>
+#include <executorch/extension/runner_util/inputs.h>
 #include <executorch/runtime/core/exec_aten/exec_aten.h>
 #include <executorch/runtime/executor/method.h>
 #include <executorch/runtime/executor/program.h>
 #include <executorch/runtime/executor/test/managed_memory_manager.h>
 #include <executorch/runtime/platform/runtime.h>
 #include <executorch/test/utils/DeathTest.h>
-#include <executorch/util/util.h>
 #include <gtest/gtest.h>
 
 using namespace ::testing;
 using exec_aten::ArrayRef;
-using torch::executor::Error;
-using torch::executor::EValue;
-using torch::executor::Method;
-using torch::executor::Program;
-using torch::executor::Result;
-using torch::executor::testing::ManagedMemoryManager;
+using executorch::extension::prepare_input_tensors;
+using executorch::runtime::Error;
+using executorch::runtime::EValue;
+using executorch::runtime::Method;
+using executorch::runtime::Program;
+using executorch::runtime::Result;
+using executorch::runtime::testing::ManagedMemoryManager;
 using torch::executor::util::FileDataLoader;
 
 constexpr size_t kDefaultNonConstMemBytes = 32 * 1024U;
@@ -52,17 +53,15 @@ class MethodTest : public ::testing::Test {
   }
 
   void SetUp() override {
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
 
     load_program(std::getenv("ET_MODULE_ADD_PATH"), "add");
     load_program(std::getenv("ET_MODULE_INDEX_PATH"), "index");
     load_program(
         std::getenv("ET_MODULE_DYNAMIC_CAT_UNALLOCATED_IO_PATH"), "cat");
+    load_program(std::getenv("ET_MODULE_LINEAR_PATH"), "linear");
     load_program(
-        std::getenv("ET_MODULE_LINEAR_CONSTANT_SEGMENT_PATH"),
-        "linear_constant_segment");
-    load_program(
-        std::getenv("ET_MODULE_LINEAR_CONSTANT_BUFFER_PATH"),
+        std::getenv("DEPRECATED_ET_MODULE_LINEAR_CONSTANT_BUFFER_PATH"),
         "linear_constant_buffer");
   }
 
@@ -80,8 +79,8 @@ TEST_F(MethodTest, MoveTest) {
   ASSERT_EQ(method.error(), Error::Ok);
 
   // Can execute the method.
-  exec_aten::ArrayRef<void*> inputs =
-      torch::executor::util::PrepareInputTensors(*method);
+  auto input_cleanup = prepare_input_tensors(*method);
+  ASSERT_EQ(input_cleanup.error(), Error::Ok);
   Error err = method->execute();
   ASSERT_EQ(err, Error::Ok);
 
@@ -95,8 +94,6 @@ TEST_F(MethodTest, MoveTest) {
   // Can execute the new method.
   err = new_method.execute();
   ASSERT_EQ(err, Error::Ok);
-
-  torch::executor::util::FreeInputs(inputs);
 }
 
 TEST_F(MethodTest, GetInputTests) {
@@ -173,8 +170,8 @@ TEST_F(MethodTest, SetPrimInputTest) {
   ASSERT_EQ(method.error(), Error::Ok);
 
   // Can execute the method.
-  exec_aten::ArrayRef<void*> inputs =
-      torch::executor::util::PrepareInputTensors(*method);
+  auto input_cleanup = prepare_input_tensors(*method);
+  ASSERT_EQ(input_cleanup.error(), Error::Ok);
 
   // The args to the method are x, y, alpha. x and y are tensors handled above
   // alpha is a prim.
@@ -189,8 +186,6 @@ TEST_F(MethodTest, SetPrimInputTest) {
 
   Error err = method->execute();
   EXPECT_EQ(err, Error::Ok);
-
-  torch::executor::util::FreeInputs(inputs);
 }
 
 TEST_F(MethodTest, MethodMetaTest) {
@@ -220,10 +215,10 @@ TEST_F(MethodTest, AliasedIOTest) {
   int32_t sizes[2] = {2, 4};
   uint8_t dim_order[2] = {0, 1};
   int32_t strides[2] = {4, 1};
-  torch::executor::TensorImpl impl(
-      torch::executor::ScalarType::Float, 2, sizes, buffer, dim_order, strides);
+  exec_aten::TensorImpl impl(
+      exec_aten::ScalarType::Float, 2, sizes, buffer, dim_order, strides);
 
-  auto input_err = method->set_input(EValue(torch::executor::Tensor(&impl)), 0);
+  auto input_err = method->set_input(EValue(exec_aten::Tensor(&impl)), 0);
   ASSERT_EQ(input_err, Error::Ok);
 
   auto output_err = method->set_output_data_ptr(buffer, sizeof(buffer), 0);
@@ -250,9 +245,9 @@ TEST_F(MethodTest, AliasedIOTest) {
 
   // Set the input again to update the size.
   sizes[0] = output.toTensor().sizes()[0];
-  torch::executor::TensorImpl impl_2(
-      torch::executor::ScalarType::Float, 2, sizes, buffer, dim_order, strides);
-  input_err = method->set_input(EValue(torch::executor::Tensor(&impl_2)), 0);
+  exec_aten::TensorImpl impl_2(
+      exec_aten::ScalarType::Float, 2, sizes, buffer, dim_order, strides);
+  input_err = method->set_input(EValue(exec_aten::Tensor(&impl_2)), 0);
   ASSERT_EQ(input_err, Error::Ok);
 
   // Execute the method again. Cat a 1x4 to a 3x4.
@@ -277,7 +272,7 @@ TEST_F(MethodTest, ConstantSegmentTest) {
   // Execute model with constants stored in segment.
   ManagedMemoryManager mmm(kDefaultNonConstMemBytes, kDefaultRuntimeMemBytes);
   Result<Method> method =
-      programs_["linear_constant_segment"]->load_method("forward", &mmm.get());
+      programs_["linear"]->load_method("forward", &mmm.get());
   ASSERT_EQ(method.error(), Error::Ok);
 
   // Can execute the method.
@@ -297,28 +292,28 @@ TEST_F(MethodTest, ConstantBufferTest) {
   ASSERT_EQ(err, Error::Ok);
 }
 
-// TODO(T161163608): Test is disabled due to a resize bug in tensor_index_out of
-// the portable op lib
-
-// TEST_F(MethodTest, OptionalTensorListDeserialization) {
-//   ManagedMemoryManager mmm(kDefaultNonConstMemBytes,
-//   kDefaultRuntimeMemBytes); Result<Method> method =
-//   index_program_->load_method("forward", &mmm.get());
-//   ASSERT_EQ(method.error(), Error::Ok);
+/*
+ * TODO(T161163608): Test is disabled due to a resize bug in tensor_index_out of
+ * the portable op lib
 
-//   // Can execute the method.
-//   exec_aten::ArrayRef<void*> inputs =
-//       torch::executor::util::PrepareInputTensors(*method);
-//   Error err = method->execute();
-//   ASSERT_EQ(err, Error::Ok);
+TEST_F(MethodTest, OptionalTensorListDeserialization) {
+  ManagedMemoryManager mmm(kDefaultNonConstMemBytes,
+  kDefaultRuntimeMemBytes); Result<Method> method =
+  index_program_->load_method("forward", &mmm.get());
+  ASSERT_EQ(method.error(), Error::Ok);
 
-//   EXPECT_EQ(method->inputs_size(), 1);
+  // Can execute the method.
+  auto input_cleanup = prepare_input_tensors(*method);
+  ASSERT_EQ(input_cleanup.error(), Error::Ok);
+  Error err = method->execute();
+  ASSERT_EQ(err, Error::Ok);
 
-//   auto outputs = method->get_output(0);
-//   EXPECT_EQ(outputs.toTensor().dim(), 3);
-//   EXPECT_EQ(outputs.toTensor().size(0), 5);
-//   EXPECT_EQ(outputs.toTensor().size(1), 2);
-//   EXPECT_EQ(outputs.toTensor().size(2), 10);
+  EXPECT_EQ(method->inputs_size(), 1);
 
-//   torch::executor::util::FreeInputs(inputs);
-// }
+  auto outputs = method->get_output(0);
+  EXPECT_EQ(outputs.toTensor().dim(), 3);
+  EXPECT_EQ(outputs.toTensor().size(0), 5);
+  EXPECT_EQ(outputs.toTensor().size(1), 2);
+  EXPECT_EQ(outputs.toTensor().size(2), 10);
+}
+*/
diff --git a/runtime/executor/test/program_test.cpp b/runtime/executor/test/program_test.cpp
index a508cf1114..80f91f1af6 100644
--- a/runtime/executor/test/program_test.cpp
+++ b/runtime/executor/test/program_test.cpp
@@ -6,6 +6,8 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#include <executorch/runtime/executor/program.h>
+
 #include <cctype>
 #include <filesystem>
 
@@ -16,7 +18,6 @@
 #include <executorch/extension/data_loader/file_data_loader.h>
 #include <executorch/runtime/core/error.h>
 #include <executorch/runtime/core/result.h>
-#include <executorch/runtime/executor/program.h>
 #include <executorch/runtime/platform/runtime.h>
 #include <executorch/schema/program_generated.h>
 #include <executorch/test/utils/DeathTest.h>
@@ -24,11 +25,11 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-using torch::executor::DataLoader;
-using torch::executor::Error;
-using torch::executor::FreeableBuffer;
-using torch::executor::Program;
-using torch::executor::Result;
+using executorch::runtime::DataLoader;
+using executorch::runtime::Error;
+using executorch::runtime::FreeableBuffer;
+using executorch::runtime::Program;
+using executorch::runtime::Result;
 using torch::executor::util::BufferDataLoader;
 using torch::executor::util::FileDataLoader;
 
@@ -42,7 +43,7 @@ class ProgramTest : public ::testing::Test {
   void SetUp() override {
     // Since these tests cause ET_LOG to be called, the PAL must be initialized
     // first.
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
 
     // Load the serialized ModuleAdd data.
     const char* path = std::getenv("ET_MODULE_ADD_PATH");
@@ -62,7 +63,7 @@ class ProgramTest : public ::testing::Test {
 
     add_loader_ = std::make_unique<FileDataLoader>(std::move(loader.get()));
 
-    // Load the serialized ModuleAdd data.
+    // Load the serialized ModuleMultiEntry data.
     path = std::getenv("ET_MODULE_MULTI_ENTRY_PATH");
     Result<FileDataLoader> multi_loader = FileDataLoader::from(path);
     ASSERT_EQ(multi_loader.error(), Error::Ok);
@@ -86,28 +87,38 @@ class ProgramTest : public ::testing::Test {
   std::unique_ptr<FileDataLoader> multi_loader_;
 };
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 namespace testing {
 // Provides access to private Program methods.
 class ProgramTestFriend final {
  public:
-  __ET_NODISCARD static Result<FreeableBuffer> LoadSegment(
+  ET_NODISCARD static Result<FreeableBuffer> LoadSegment(
       const Program* program,
       const DataLoader::SegmentInfo& segment_info) {
     return program->LoadSegment(segment_info);
   }
 
+  ET_NODISCARD static Error load_mutable_subsegment_into(
+      const Program* program,
+      size_t mutable_data_segments_index,
+      size_t offset_index,
+      size_t size,
+      void* buffer) {
+    return program->load_mutable_subsegment_into(
+        mutable_data_segments_index, offset_index, size, buffer);
+  }
+
   const static executorch_flatbuffer::Program* GetInternalProgram(
       const Program* program) {
     return program->internal_program_;
   }
 };
 } // namespace testing
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
 
-using torch::executor::testing::ProgramTestFriend;
+using executorch::runtime::testing::ProgramTestFriend;
 
 TEST_F(ProgramTest, DataParsesWithMinimalVerification) {
   // Parse the Program from the data.
@@ -368,11 +379,32 @@ TEST_F(ProgramTest, DEPRECATEDLoad) {
   EXPECT_EQ(program_res.error(), Error::Ok);
 }
 
+TEST_F(ProgramTest, LoadConstantSegmentWithNoConstantSegment) {
+  Result<Program> program =
+      Program::load(add_loader_.get(), kDefaultVerification);
+  ASSERT_EQ(program.error(), Error::Ok);
+
+  // Load constant segment data should fail.
+  const auto segment_info = DataLoader::SegmentInfo(
+      DataLoader::SegmentInfo::Type::Constant,
+      /*segment_index=*/0);
+  Result<FreeableBuffer> segment =
+      ProgramTestFriend::LoadSegment(&program.get(), segment_info);
+  EXPECT_NE(segment.error(), Error::Ok);
+
+  const executorch_flatbuffer::Program* flatbuffer_program =
+      ProgramTestFriend::GetInternalProgram(&program.get());
+
+  // The constant buffer should be empty.
+  EXPECT_EQ(flatbuffer_program->constant_buffer()->size(), 0);
+
+  // Expect 1 constant segment, placeholder for non-const tensors.
+  EXPECT_EQ(flatbuffer_program->segments()->size(), 1);
+}
+
 TEST_F(ProgramTest, LoadConstantSegment) {
-  // Load the serialized ModuleLinear data, with constants in the segment and no
-  // constants in the flatbuffer.
-  const char* linear_path =
-      std::getenv("ET_MODULE_LINEAR_CONSTANT_SEGMENT_PATH");
+  // Load the serialized ModuleLinear data, with constants in the segment.
+  const char* linear_path = std::getenv("ET_MODULE_LINEAR_PATH");
   Result<FileDataLoader> linear_loader = FileDataLoader::from(linear_path);
   ASSERT_EQ(linear_loader.error(), Error::Ok);
 
@@ -413,11 +445,11 @@ TEST_F(ProgramTest, LoadConstantSegment) {
   EXPECT_GE(flatbuffer_program->constant_segment()->offsets()->size(), 1);
 }
 
-TEST_F(ProgramTest, LoadConstantSegmentWithNoConstantSegment) {
+TEST_F(ProgramTest, LoadConstantSegmentWhenConstantBufferExists) {
   // Load the serialized ModuleLinear data, with constants in the flatbuffer and
   // no constants in the segment.
   const char* linear_path =
-      std::getenv("ET_MODULE_LINEAR_CONSTANT_BUFFER_PATH");
+      std::getenv("DEPRECATED_ET_MODULE_LINEAR_CONSTANT_BUFFER_PATH");
   Result<FileDataLoader> linear_loader = FileDataLoader::from(linear_path);
   ASSERT_EQ(linear_loader.error(), Error::Ok);
 
@@ -444,3 +476,89 @@ TEST_F(ProgramTest, LoadConstantSegmentWithNoConstantSegment) {
   // The constant buffer should exist.
   EXPECT_GE(flatbuffer_program->constant_buffer()->size(), 1);
 }
+
+TEST_F(ProgramTest, LoadFromMutableSegment) {
+  // Load the serialized ModuleSimpleTrain data.
+  auto path = std::getenv("ET_MODULE_SIMPLE_TRAIN_PATH");
+  Result<FileDataLoader> training_loader = FileDataLoader::from(path);
+  ASSERT_EQ(training_loader.error(), Error::Ok);
+
+  // This file should always be compatible.
+  Result<FreeableBuffer> training_header = training_loader->load(
+      /*offset=*/0,
+      Program::kMinHeadBytes,
+      DataLoader::SegmentInfo(DataLoader::SegmentInfo::Type::Program));
+  ASSERT_EQ(training_header.error(), Error::Ok);
+  EXPECT_EQ(
+      Program::check_header(training_header->data(), training_header->size()),
+      Program::HeaderStatus::CompatibleVersion);
+
+  Result<Program> program = Program::load(&training_loader.get());
+  ASSERT_EQ(program.error(), Error::Ok);
+
+  // dummy buffers to load into
+  uint8_t buffer[1] = {0};
+  uint8_t buffer2[1] = {0};
+
+  // Load some mutable segment data
+  Error err = ProgramTestFriend::load_mutable_subsegment_into(
+      &program.get(), 0, 1, 1, buffer);
+  EXPECT_EQ(err, Error::Ok);
+
+  // Check that the data loaded correctly, and then mutate it
+  EXPECT_EQ(buffer[0], 232); // 232 comes from inspecting the file itself. The
+                             // file is seeded so this value should be stable.
+  buffer[0] = 0;
+
+  // Load the same mutable segment data from file into a different buffer.
+  err = ProgramTestFriend::load_mutable_subsegment_into(
+      &program.get(),
+      0, // mutable_data_segments_index
+      1, // offset_index
+      1, // size
+      buffer2);
+  EXPECT_EQ(err, Error::Ok);
+
+  // Check that new data loaded from the file does not reflect the change to
+  // buffer.
+  EXPECT_EQ(buffer2[0], 232);
+
+  const executorch_flatbuffer::Program* flatbuffer_program =
+      ProgramTestFriend::GetInternalProgram(&program.get());
+
+  // Expect 2 segments. 1 mutable segment and 1 constant segment.
+  EXPECT_EQ(flatbuffer_program->segments()->size(), 2);
+
+  // Expect a mutable data segment.
+  EXPECT_EQ(flatbuffer_program->mutable_data_segments()->size(), 1);
+
+  // Expect the 0 index to be reserved and the offsets for weight and bias of
+  // linear to be indices 1 and 2.
+  EXPECT_EQ(
+      flatbuffer_program->mutable_data_segments()->Get(0)->offsets()->size(),
+      3);
+  EXPECT_EQ(
+      flatbuffer_program->mutable_data_segments()->Get(0)->offsets()->Get(0),
+      0);
+  EXPECT_EQ(
+      flatbuffer_program->mutable_data_segments()->Get(0)->offsets()->Get(1),
+      0);
+  EXPECT_EQ(
+      flatbuffer_program->mutable_data_segments()->Get(0)->offsets()->Get(2),
+      36);
+
+  // Loading beyond file should fail
+  err = ProgramTestFriend::load_mutable_subsegment_into(
+      &program.get(), 0, 1, 500, buffer);
+  EXPECT_NE(err, Error::Ok);
+
+  // Loading beyond offsets should fail
+  err = ProgramTestFriend::load_mutable_subsegment_into(
+      &program.get(), 0, 500, 1, buffer);
+  EXPECT_NE(err, Error::Ok);
+
+  // Loading beyond segments should fail
+  err = ProgramTestFriend::load_mutable_subsegment_into(
+      &program.get(), 500, 1, 1, buffer);
+  EXPECT_NE(err, Error::Ok);
+}
diff --git a/runtime/executor/test/targets.bzl b/runtime/executor/test/targets.bzl
index eaec540c27..72923e9868 100644
--- a/runtime/executor/test/targets.bzl
+++ b/runtime/executor/test/targets.bzl
@@ -19,7 +19,7 @@ def define_common_targets(is_fbcode = False):
                 "//executorch/exir/backend/test/...",
                 "//executorch/runtime/backend/...",
                 "//executorch/extension/pybindings/...",
-                "//executorch/sdk/fb/runners/...",
+                "//executorch/devtools/fb/runners/...",
                 "//executorch/test/...",
                 "//executorch/examples/...",
             ],
@@ -43,7 +43,7 @@ def define_common_targets(is_fbcode = False):
                 "//executorch/exir/backend/test/...",
                 "//executorch/runtime/backend/...",
                 "//executorch/extension/pybindings/...",
-                "//executorch/sdk/fb/runners/...",
+                "//executorch/devtools/fb/runners/...",
                 "//executorch/test/...",
                 "//executorch/examples/...",
             ],
@@ -97,6 +97,8 @@ def define_common_targets(is_fbcode = False):
     # file in fbcode. See https://fburl.com/9esapdmd
     if not runtime.is_oss and is_fbcode:
         modules_env = {
+            # Deprecated model that still works with ExecuTorch runtime.
+            "DEPRECATED_ET_MODULE_LINEAR_CONSTANT_BUFFER_PATH": "$(location fbcode//executorch/test/models/deprecated:ModuleLinear-no-constant-segment.pte)",
             # The tests use this var to find the program file to load. This uses
             # an fbcode target path because the authoring/export tools
             # intentionally don't work in xplat (since they're host-only tools).
@@ -104,9 +106,9 @@ def define_common_targets(is_fbcode = False):
             "ET_MODULE_ADD_PATH": "$(location fbcode//executorch/test/models:exported_programs[ModuleAdd.pte])",
             "ET_MODULE_DYNAMIC_CAT_UNALLOCATED_IO_PATH": "$(location fbcode//executorch/test/models:exported_programs[ModuleDynamicCatUnallocatedIO.pte])",
             "ET_MODULE_INDEX_PATH": "$(location fbcode//executorch/test/models:exported_programs[ModuleIndex.pte])",
-            "ET_MODULE_LINEAR_CONSTANT_BUFFER_PATH": "$(location fbcode//executorch/test/models:exported_programs[ModuleLinear-no-constant-segment.pte])",
-            "ET_MODULE_LINEAR_CONSTANT_SEGMENT_PATH": "$(location fbcode//executorch/test/models:exported_programs[ModuleLinear.pte])",
+            "ET_MODULE_LINEAR_PATH": "$(location fbcode//executorch/test/models:exported_programs[ModuleLinear.pte])",
             "ET_MODULE_MULTI_ENTRY_PATH": "$(location fbcode//executorch/test/models:exported_programs[ModuleMultipleEntry.pte])",
+            "ET_MODULE_SIMPLE_TRAIN_PATH": "$(location fbcode//executorch/test/models:exported_programs[ModuleSimpleTrain.pte])",
         }
 
         runtime.cxx_test(
@@ -119,7 +121,7 @@ def define_common_targets(is_fbcode = False):
                 "//executorch/runtime/executor:program",
                 "//executorch/kernels/portable:generated_lib",
                 "//executorch/extension/data_loader:file_data_loader",
-                "//executorch/util:util",
+                "//executorch/extension/runner_util:inputs",
             ],
             env = modules_env,
         )
@@ -132,8 +134,8 @@ def define_common_targets(is_fbcode = False):
             deps = [
                 ":managed_memory_manager",
                 "//executorch/runtime/executor:program",
-                "//executorch/util:util",
                 "//executorch/extension/data_loader:file_data_loader",
+                "//executorch/extension/runner_util:inputs",
                 "//executorch/kernels/portable:generated_lib",
             ],
             env = modules_env,
@@ -174,7 +176,6 @@ def define_common_targets(is_fbcode = False):
                 ":managed_memory_manager",
                 "//executorch/runtime/executor:program",
                 "//executorch/runtime/kernel:operator_registry",
-                "//executorch/util:util",
                 "//executorch/extension/data_loader:file_data_loader",
             ],
             env = modules_env,
@@ -188,12 +189,12 @@ def define_common_targets(is_fbcode = False):
             deps = [
                 ":managed_memory_manager",
                 "//executorch/extension/data_loader:file_data_loader",
+                "//executorch/extension/runner_util:inputs",
                 "//executorch/runtime/core:core",
                 "//executorch/runtime/executor:program",
                 "//executorch/runtime/kernel:kernel_runtime_context",
                 "//executorch/runtime/kernel:operator_registry",
                 "//executorch/runtime/platform:platform",
-                "//executorch/util:util",
             ],
             env = modules_env,
         )
@@ -209,7 +210,7 @@ def define_common_targets(is_fbcode = False):
                 "//executorch/runtime/executor:program",
                 "//executorch/extension/data_loader:buffer_data_loader",
                 "//executorch/extension/data_loader:file_data_loader",
-                "//executorch/util:util",
+                "//executorch/extension/runner_util:inputs",
             ],
             env = {
                 # The tests use these vars to find the program files to load.
diff --git a/runtime/executor/test/tensor_parser_test.cpp b/runtime/executor/test/tensor_parser_test.cpp
index a25933997d..65a2195342 100644
--- a/runtime/executor/test/tensor_parser_test.cpp
+++ b/runtime/executor/test/tensor_parser_test.cpp
@@ -6,23 +6,25 @@
  * LICENSE file in the root directory of this source tree.
  */
 
+#include <executorch/runtime/executor/tensor_parser.h>
+
 #include <executorch/extension/data_loader/file_data_loader.h>
 #include <executorch/runtime/core/exec_aten/exec_aten.h>
-#include <executorch/runtime/executor/tensor_parser.h>
 #include <executorch/runtime/executor/test/managed_memory_manager.h>
-#include <gtest/gtest.h>
-
 #include <executorch/schema/program_generated.h>
 
+#include <gtest/gtest.h>
+
 using namespace ::testing;
-using torch::executor::Error;
-using torch::executor::EValue;
-using torch::executor::FreeableBuffer;
-using torch::executor::Program;
-using torch::executor::Result;
-using torch::executor::Tensor;
-using torch::executor::deserialization::parseTensor;
-using torch::executor::testing::ManagedMemoryManager;
+using exec_aten::ScalarType;
+using exec_aten::Tensor;
+using executorch::runtime::Error;
+using executorch::runtime::EValue;
+using executorch::runtime::FreeableBuffer;
+using executorch::runtime::Program;
+using executorch::runtime::Result;
+using executorch::runtime::deserialization::parseTensor;
+using executorch::runtime::testing::ManagedMemoryManager;
 using torch::executor::util::FileDataLoader;
 
 constexpr size_t kDefaultNonConstMemBytes = 32 * 1024U;
@@ -50,8 +52,8 @@ class TensorParserTest : public ::testing::Test {
   std::unique_ptr<FileDataLoader> half_loader_;
 };
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 namespace testing {
 // Provides access to private Program methods.
 class ProgramTestFriend final {
@@ -62,14 +64,14 @@ class ProgramTestFriend final {
   }
 };
 } // namespace testing
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
 
-using torch::executor::testing::ProgramTestFriend;
+using executorch::runtime::testing::ProgramTestFriend;
 
 void test_module_add(
     std::unique_ptr<FileDataLoader>& loader,
-    torch::executor::ScalarType scalar_type,
+    ScalarType scalar_type,
     int type_size) {
   Result<Program> program =
       Program::load(loader.get(), Program::Verification::Minimal);
@@ -91,9 +93,9 @@ void test_module_add(
     if (serialization_value->val_type() ==
         executorch_flatbuffer::KernelTypes::Tensor) {
       tensor_count++;
-      Result<torch::executor::Tensor> tensor = parseTensor(
+      Result<Tensor> tensor = parseTensor(
           program_, &mmm.get(), serialization_value->val_as_Tensor());
-      torch::executor::Tensor t = tensor.get();
+      Tensor t = tensor.get();
       ASSERT_EQ(scalar_type, t.scalar_type());
       ASSERT_EQ(2, t.dim()); // [2, 2]
       ASSERT_EQ(4, t.numel());
@@ -110,13 +112,78 @@ void test_module_add(
 }
 
 TEST_F(TensorParserTest, TestModuleAddFloat) {
-  test_module_add(
-      float_loader_, torch::executor::ScalarType::Float, sizeof(float));
+  test_module_add(float_loader_, ScalarType::Float, sizeof(float));
 }
 
 TEST_F(TensorParserTest, TestModuleAddHalf) {
-  test_module_add(
-      half_loader_,
-      torch::executor::ScalarType::Half,
-      sizeof(torch::executor::Half));
+  test_module_add(half_loader_, ScalarType::Half, sizeof(exec_aten::Half));
+}
+
+TEST_F(TensorParserTest, TestMutableState) {
+  // Load the serialized ModuleSimpleTrain data.
+  const char* path = std::getenv("ET_MODULE_SIMPLE_TRAIN_PATH");
+  Result<FileDataLoader> train_loader = FileDataLoader::from(path);
+  ASSERT_EQ(train_loader.error(), Error::Ok);
+
+  Result<Program> program =
+      Program::load(&train_loader.get(), Program::Verification::Minimal);
+  EXPECT_EQ(program.error(), Error::Ok);
+
+  ManagedMemoryManager mmm(kDefaultNonConstMemBytes, kDefaultRuntimeMemBytes);
+  ManagedMemoryManager mmm_copy(
+      kDefaultNonConstMemBytes, kDefaultRuntimeMemBytes);
+
+  const executorch_flatbuffer::Program* internal_program =
+      ProgramTestFriend::GetInternalProgram(&program.get());
+  executorch_flatbuffer::ExecutionPlan* execution_plan =
+      internal_program->execution_plan()->GetMutableObject(0);
+  auto flatbuffer_values = execution_plan->values();
+
+  size_t num_mutable_tensors = 0;
+  for (size_t i = 0; i < flatbuffer_values->size(); ++i) {
+    auto serialization_value = flatbuffer_values->Get(i);
+    if (serialization_value->val_type() ==
+            executorch_flatbuffer::KernelTypes::Tensor &&
+        serialization_value->val_as_Tensor()->allocation_info() != nullptr &&
+        serialization_value->val_as_Tensor()->data_buffer_idx() > 0) {
+      num_mutable_tensors++;
+      Result<torch::executor::Tensor> tensor = parseTensor(
+          &program.get(), &mmm.get(), serialization_value->val_as_Tensor());
+      torch::executor::Tensor t = tensor.get();
+      float loaded_value = t.const_data_ptr<float>()[0];
+      ASSERT_NE(nullptr, t.const_data_ptr());
+      ASSERT_NE(t.mutable_data_ptr<float>()[0], 0.5);
+      t.mutable_data_ptr<float>()[0] = 0.5;
+      ASSERT_EQ(
+          t.mutable_data_ptr<float>()[0],
+          0.5); // 0.5 can be represented perfectly by float so EQ and NE work
+                // fine here. Any power of 2 rational can be perfectly
+                // represented. See dyadic rationals for more info.
+
+      // Load the same tensor using the same mem manager and show the value is
+      // updated again.
+      Result<torch::executor::Tensor> tensor1_alias = parseTensor(
+          &program.get(), &mmm.get(), serialization_value->val_as_Tensor());
+      torch::executor::Tensor t2 = tensor.get();
+      ASSERT_NE(t2.mutable_data_ptr<float>()[0], 0.5);
+
+      // Show the tensors are equivalent
+      ASSERT_EQ(t.const_data_ptr(), t2.const_data_ptr());
+      // Set mutable tensor value back to 0.5 since it got overwritten by second
+      // parse.
+      t.mutable_data_ptr<float>()[0] = 0.5;
+
+      // Load the same tensor using a different mem manager and show the value
+      // is not the same as t.
+      Result<torch::executor::Tensor> tensor_new = parseTensor(
+          &program.get(),
+          &mmm_copy.get(),
+          serialization_value->val_as_Tensor());
+      torch::executor::Tensor t3 = tensor_new.get();
+      ASSERT_NE(t3.mutable_data_ptr<float>()[0], 0.5);
+      ASSERT_NE(t3.const_data_ptr(), t.const_data_ptr());
+      ASSERT_EQ(loaded_value, t3.const_data_ptr<float>()[0]);
+    }
+  }
+  ASSERT_EQ(num_mutable_tensors, 2);
 }
diff --git a/runtime/executor/test/test_backend_compiler_lib.cpp b/runtime/executor/test/test_backend_compiler_lib.cpp
index 9e255527f9..7bfd7689a4 100644
--- a/runtime/executor/test/test_backend_compiler_lib.cpp
+++ b/runtime/executor/test/test_backend_compiler_lib.cpp
@@ -13,8 +13,18 @@
 #include <cstdio>
 #include <cstdlib> /* strtol */
 
-namespace torch {
-namespace executor {
+using executorch::runtime::ArrayRef;
+using executorch::runtime::Backend;
+using executorch::runtime::BackendExecutionContext;
+using executorch::runtime::BackendInitContext;
+using executorch::runtime::BackendInterface;
+using executorch::runtime::CompileSpec;
+using executorch::runtime::DelegateHandle;
+using executorch::runtime::Error;
+using executorch::runtime::EValue;
+using executorch::runtime::FreeableBuffer;
+using executorch::runtime::MemoryAllocator;
+using executorch::runtime::Result;
 
 struct DemoOp {
   const char* name;
@@ -28,7 +38,7 @@ struct DemoOpList {
   size_t numops;
 };
 
-class BackendWithCompiler final : public PyTorchBackendInterface {
+class BackendWithCompiler final : public BackendInterface {
   int max_shape = 4;
 
  public:
@@ -153,7 +163,7 @@ class BackendWithCompiler final : public PyTorchBackendInterface {
   // backend you can imagine how this function could be used to actually
   // dispatch the inputs to the relevant backend/device.
   Error execute(
-      __ET_UNUSED BackendExecutionContext& context,
+      ET_UNUSED BackendExecutionContext& context,
       DelegateHandle* handle,
       EValue** args) const override {
     EXECUTORCH_SCOPE_PROF("BackendWithCompiler::execute");
@@ -218,6 +228,3 @@ auto cls = BackendWithCompiler();
 Backend backend{"BackendWithCompilerDemo", &cls};
 static auto success_with_compiler = register_backend(backend);
 } // namespace
-
-} // namespace executor
-} // namespace torch
diff --git a/runtime/executor/test/test_backend_with_delegate_mapping.cpp b/runtime/executor/test/test_backend_with_delegate_mapping.cpp
index 92e9be57ff..ead99c1305 100644
--- a/runtime/executor/test/test_backend_with_delegate_mapping.cpp
+++ b/runtime/executor/test/test_backend_with_delegate_mapping.cpp
@@ -14,8 +14,18 @@
 #include <cstdlib> /* strtol */
 #include <cstring>
 
-namespace torch {
-namespace executor {
+using executorch::runtime::ArrayRef;
+using executorch::runtime::Backend;
+using executorch::runtime::BackendExecutionContext;
+using executorch::runtime::BackendInitContext;
+using executorch::runtime::BackendInterface;
+using executorch::runtime::CompileSpec;
+using executorch::runtime::DelegateHandle;
+using executorch::runtime::Error;
+using executorch::runtime::EValue;
+using executorch::runtime::FreeableBuffer;
+using executorch::runtime::MemoryAllocator;
+using executorch::runtime::Result;
 
 struct DemoOp {
   const char* name;
@@ -27,7 +37,7 @@ struct DemoOpList {
   size_t numops;
 };
 
-class BackendWithDelegateMapping final : public PyTorchBackendInterface {
+class BackendWithDelegateMapping final : public BackendInterface {
  public:
   ~BackendWithDelegateMapping() override = default;
 
@@ -114,7 +124,7 @@ class BackendWithDelegateMapping final : public PyTorchBackendInterface {
   // This function doesn't actually execute the op but just prints out the op
   // name and the corresponding delegate debug identifier.
   Error execute(
-      __ET_UNUSED BackendExecutionContext& context,
+      ET_UNUSED BackendExecutionContext& context,
       DelegateHandle* handle,
       EValue** args) const override {
     (void)args;
@@ -154,6 +164,3 @@ auto cls = BackendWithDelegateMapping();
 Backend backend{"BackendWithDelegateMappingDemo", &cls};
 static auto success_with_compiler = register_backend(backend);
 } // namespace
-
-} // namespace executor
-} // namespace torch
diff --git a/runtime/kernel/kernel_runtime_context.h b/runtime/kernel/kernel_runtime_context.h
index 7317315b52..96ad3d51e3 100644
--- a/runtime/kernel/kernel_runtime_context.h
+++ b/runtime/kernel/kernel_runtime_context.h
@@ -14,8 +14,8 @@
 #include <executorch/runtime/core/result.h>
 #include <executorch/runtime/platform/compiler.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * Runtime state and functionality for kernel implementations.
@@ -58,7 +58,7 @@ class KernelRuntimeContext {
   }
 
   /// Returns the current failure state.
-  __ET_NODISCARD Error failure_state() const {
+  ET_NODISCARD Error failure_state() const {
     return failure_state_;
   }
 
@@ -107,16 +107,25 @@ class KernelRuntimeContext {
   Error failure_state_ = Error::Ok;
 };
 
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
 
-// TODO(T147221312): Remove these aliases once all code uses
-// KernelRuntimeContext.
-namespace exec_aten {
-using RuntimeContext = torch::executor::KernelRuntimeContext;
-} // namespace exec_aten
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
 namespace torch {
 namespace executor {
-using RuntimeContext = torch::executor::KernelRuntimeContext;
+/// DEPRECATED: Use ::executorch::runtime::KernelRuntimeContext instead.
+using ::executorch::runtime::KernelRuntimeContext;
+/// DEPRECATED: Use ::executorch::runtime::KernelRuntimeContext instead.
+using RuntimeContext = ::executorch::runtime::KernelRuntimeContext;
 } // namespace executor
 } // namespace torch
+namespace executorch {
+namespace aten {
+/// DEPRECATED: Use ::executorch::runtime::KernelRuntimeContext instead.
+using RuntimeContext = ::executorch::runtime::KernelRuntimeContext;
+} // namespace aten
+} // namespace executorch
+// DEPRECATED: The exec_aten:: namespace is deprecated. Use executorch::aten::
+// instead.
+namespace exec_aten = ::executorch::aten;
diff --git a/runtime/kernel/operator_registry.cpp b/runtime/kernel/operator_registry.cpp
index 629077ca7e..78aa0a5173 100644
--- a/runtime/kernel/operator_registry.cpp
+++ b/runtime/kernel/operator_registry.cpp
@@ -8,53 +8,63 @@
 
 #include <executorch/runtime/kernel/operator_registry.h>
 
-#include <executorch/runtime/platform/runtime.h>
-#include <executorch/runtime/platform/system.h>
 #include <cinttypes>
 
 #include <executorch/runtime/platform/assert.h>
+#include <executorch/runtime/platform/platform.h>
+#include <executorch/runtime/platform/system.h>
 
-namespace torch {
-namespace executor {
-
-OperatorRegistry& getOperatorRegistry();
-OperatorRegistry& getOperatorRegistry() {
-  static OperatorRegistry operator_registry;
-  return operator_registry;
-}
-
-Error register_kernels(const ArrayRef<Kernel>& kernels) {
-  Error success = getOperatorRegistry().register_kernels(kernels);
-  if (success == Error::InvalidArgument || success == Error::Internal) {
-    ET_CHECK_MSG(
-        false,
-        "Kernel registration failed with error %" PRIu32
-        ", see error log for details.",
-        static_cast<uint32_t>(success));
-  }
-  return success;
-}
-
-Error OperatorRegistry::register_kernels(const ArrayRef<Kernel>& kernels) {
-  // Operator registration happens in static initialization time when PAL init
-  // may or may not happen already. Here we are assuming et_pal_init() doesn't
-  // have any side effect even if falled multiple times.
+namespace executorch {
+namespace runtime {
+
+namespace {
+
+// Maximum number of operators and their associated kernels that can be
+// registered.
+#ifdef MAX_KERNEL_NUM
+constexpr uint32_t kMaxRegisteredKernels = MAX_KERNEL_NUM;
+#else
+constexpr uint32_t kMaxOperators = 250;
+constexpr uint32_t kMaxKernelsPerOp = 8;
+constexpr uint32_t kMaxRegisteredKernels = kMaxOperators * kMaxKernelsPerOp;
+#endif
+
+// Data that backs the kernel table. Since Kernel has a custom default
+// constructor (implicitly, because it contains KernelKey, which has a custom
+// ctor), some toolchains don't like having a global array of them: it would
+// require constructing them at init time. Since we don't care about the values
+// until we add each entry to the table, allocate static zeroed memory instead
+// and point the table at it.
+// @lint-ignore CLANGTIDY facebook-hte-CArray
+alignas(sizeof(Kernel)) uint8_t
+    registered_kernels_data[kMaxRegisteredKernels * sizeof(Kernel)];
+
+/// Global table of registered kernels.
+Kernel* registered_kernels = reinterpret_cast<Kernel*>(registered_kernels_data);
+
+/// The number of kernels registered in the table.
+size_t num_registered_kernels = 0;
+
+// Registers the kernels, but may return an error.
+Error register_kernels_internal(const Span<const Kernel> kernels) {
+  // Operator registration happens in static initialization time before or after
+  // PAL init, so call it here. It is safe to call multiple times.
   ::et_pal_init();
 
-  if (kernels.size() + this->num_kernels_ > kMaxNumOfKernels) {
+  if (kernels.size() + num_registered_kernels > kMaxRegisteredKernels) {
     ET_LOG(
         Error,
-        "The total number of kernels to be registered is larger than the limit %" PRIu32
-        ". %" PRIu32
-        " kernels are already registered and we're trying to register another %" PRIu32
-        " kernels.",
-        kMaxNumOfKernels,
-        (uint32_t)this->num_kernels_,
+        "The total number of kernels to be registered is larger than the limit "
+        "%" PRIu32 ". %" PRIu32
+        " kernels are already registered and we're trying to register another "
+        "%" PRIu32 " kernels.",
+        kMaxRegisteredKernels,
+        (uint32_t)num_registered_kernels,
         (uint32_t)kernels.size());
     ET_LOG(Error, "======== Kernels already in the registry: ========");
-    for (size_t i = 0; i < this->num_kernels_; i++) {
-      ET_LOG(Error, "%s", this->kernels_[i].name_);
-      ET_LOG_KERNEL_KEY(this->kernels_[i].kernel_key_);
+    for (size_t i = 0; i < num_registered_kernels; i++) {
+      ET_LOG(Error, "%s", registered_kernels[i].name_);
+      ET_LOG_KERNEL_KEY(registered_kernels[i].kernel_key_);
     }
     ET_LOG(Error, "======== Kernels being registered: ========");
     for (size_t i = 0; i < kernels.size(); i++) {
@@ -67,9 +77,9 @@ Error OperatorRegistry::register_kernels(const ArrayRef<Kernel>& kernels) {
   const char* lib_name = et_pal_get_shared_library_name(kernels.data());
 
   for (const auto& kernel : kernels) {
-    // linear search. This is fine if the number of kernels are small.
-    for (int32_t i = 0; i < this->num_kernels_; i++) {
-      Kernel k = this->kernels_[i];
+    // Linear search. This is fine if the number of kernels is small.
+    for (int32_t i = 0; i < num_registered_kernels; i++) {
+      Kernel k = registered_kernels[i];
       if (strcmp(kernel.name_, k.name_) == 0 &&
           kernel.kernel_key_ == k.kernel_key_) {
         ET_LOG(Error, "Re-registering %s, from %s", k.name_, lib_name);
@@ -77,7 +87,7 @@ Error OperatorRegistry::register_kernels(const ArrayRef<Kernel>& kernels) {
         return Error::InvalidArgument;
       }
     }
-    this->kernels_[this->num_kernels_++] = kernel;
+    registered_kernels[num_registered_kernels++] = kernel;
   }
   ET_LOG(
       Debug,
@@ -87,11 +97,23 @@ Error OperatorRegistry::register_kernels(const ArrayRef<Kernel>& kernels) {
   return Error::Ok;
 }
 
-bool hasOpsFn(const char* name, ArrayRef<TensorMeta> kernel_key) {
-  return getOperatorRegistry().hasOpsFn(name, kernel_key);
+} // namespace
+
+// Registers the kernels, but panics if an error occurs. Always returns Ok.
+Error register_kernels(const Span<const Kernel> kernels) {
+  Error success = register_kernels_internal(kernels);
+  if (success == Error::InvalidArgument || success == Error::Internal) {
+    ET_CHECK_MSG(
+        false,
+        "Kernel registration failed with error %" PRIu32
+        ", see error log for details.",
+        static_cast<uint32_t>(success));
+  }
+  return success;
 }
 
-static int copy_char_as_number_to_buf(char num, char* buf) {
+namespace {
+int copy_char_as_number_to_buf(char num, char* buf) {
   if ((char)num < 10) {
     *buf = '0' + (char)num;
     buf += 1;
@@ -104,10 +126,10 @@ static int copy_char_as_number_to_buf(char num, char* buf) {
     return 2;
   }
 }
+} // namespace
 
-void make_kernel_key_string(ArrayRef<TensorMeta> key, char* buf);
-
-void make_kernel_key_string(ArrayRef<TensorMeta> key, char* buf) {
+namespace internal {
+void make_kernel_key_string(Span<const TensorMeta> key, char* buf) {
   if (key.empty()) {
     // If no tensor is present in an op, kernel key does not apply
     return;
@@ -130,62 +152,44 @@ void make_kernel_key_string(ArrayRef<TensorMeta> key, char* buf) {
     buf += 1;
   }
 }
+} // namespace internal
 
-bool OperatorRegistry::hasOpsFn(
+bool registry_has_op_function(
     const char* name,
-    ArrayRef<TensorMeta> meta_list) {
-  char buf[KernelKey::MAX_SIZE] = {0};
-  make_kernel_key_string(meta_list, buf);
-  KernelKey kernel_key = KernelKey(buf);
-
-  for (size_t idx = 0; idx < this->num_kernels_; idx++) {
-    if (strcmp(this->kernels_[idx].name_, name) == 0) {
-      if (this->kernels_[idx].kernel_key_.is_fallback() ||
-          this->kernels_[idx].kernel_key_ == kernel_key) {
-        return true;
-      }
-    }
-  }
-
-  return false;
+    Span<const TensorMeta> meta_list) {
+  return get_op_function_from_registry(name, meta_list).ok();
 }
 
-const OpFunction& getOpsFn(const char* name, ArrayRef<TensorMeta> kernel_key) {
-  return getOperatorRegistry().getOpsFn(name, kernel_key);
-}
-
-const OpFunction& OperatorRegistry::getOpsFn(
+Result<OpFunction> get_op_function_from_registry(
     const char* name,
-    ArrayRef<TensorMeta> meta_list) {
+    Span<const TensorMeta> meta_list) {
+  // @lint-ignore CLANGTIDY facebook-hte-CArray
   char buf[KernelKey::MAX_SIZE] = {0};
-  make_kernel_key_string(meta_list, buf);
+  internal::make_kernel_key_string(meta_list, buf);
   KernelKey kernel_key = KernelKey(buf);
 
   int32_t fallback_idx = -1;
-  for (size_t idx = 0; idx < this->num_kernels_; idx++) {
-    if (strcmp(this->kernels_[idx].name_, name) == 0) {
-      if (this->kernels_[idx].kernel_key_ == kernel_key) {
-        return this->kernels_[idx].op_;
+  for (size_t idx = 0; idx < num_registered_kernels; idx++) {
+    if (strcmp(registered_kernels[idx].name_, name) == 0) {
+      if (registered_kernels[idx].kernel_key_ == kernel_key) {
+        return registered_kernels[idx].op_;
       }
-      if (this->kernels_[idx].kernel_key_.is_fallback()) {
+      if (registered_kernels[idx].kernel_key_.is_fallback()) {
         fallback_idx = idx;
       }
     }
   }
   if (fallback_idx != -1) {
-    return this->kernels_[fallback_idx].op_;
+    return registered_kernels[fallback_idx].op_;
   }
-  ET_CHECK_MSG(false, "kernel '%s' not found.", name);
+  ET_LOG(Error, "kernel '%s' not found.", name);
   ET_LOG_TENSOR_META(meta_list);
+  return Error::OperatorMissing;
 }
 
-ArrayRef<Kernel> get_kernels() {
-  return getOperatorRegistry().get_kernels();
-}
-
-ArrayRef<Kernel> OperatorRegistry::get_kernels() {
-  return ArrayRef<Kernel>(this->kernels_, this->num_kernels_);
+Span<const Kernel> get_registered_kernels() {
+  return {registered_kernels, num_registered_kernels};
 }
 
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
diff --git a/runtime/kernel/operator_registry.h b/runtime/kernel/operator_registry.h
index cbb9c275ea..6d6c77bd76 100644
--- a/runtime/kernel/operator_registry.h
+++ b/runtime/kernel/operator_registry.h
@@ -14,8 +14,11 @@
 #include <executorch/runtime/core/error.h>
 #include <executorch/runtime/core/evalue.h>
 #include <executorch/runtime/core/exec_aten/exec_aten.h>
+#include <executorch/runtime/core/result.h>
+#include <executorch/runtime/core/span.h>
 #include <executorch/runtime/platform/compiler.h>
 #include <executorch/runtime/platform/platform.h>
+
 // Debug switch for operator registry
 #if defined(ET_OP_REGISTRY_DEBUG)
 #include <ostream>
@@ -36,11 +39,10 @@
     ET_LOG(Error, "]");                                               \
   }
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 class KernelRuntimeContext; // Forward declaration
-using RuntimeContext = KernelRuntimeContext; // TODO(T147221312): Remove
 using OpFunction = void (*)(KernelRuntimeContext&, EValue**);
 
 /**
@@ -49,10 +51,10 @@ using OpFunction = void (*)(KernelRuntimeContext&, EValue**);
  */
 struct TensorMeta {
   exec_aten::ScalarType dtype_;
-  ArrayRef<exec_aten::DimOrderType> dim_order_;
+  Span<exec_aten::DimOrderType> dim_order_;
 
   TensorMeta() = default;
-  TensorMeta(ScalarType dtype, ArrayRef<exec_aten::DimOrderType> order)
+  TensorMeta(exec_aten::ScalarType dtype, Span<exec_aten::DimOrderType> order)
       : dtype_(dtype), dim_order_(order) {}
 
   bool operator==(const TensorMeta& other) const {
@@ -189,74 +191,84 @@ struct Kernel {
   Kernel() {}
 };
 
-// Maximum number of operators and their associated kernels that can be
-// registered.
-constexpr uint32_t kOperatorTableMaxSize = 250;
-constexpr uint32_t kMaxNumOfKernelPerOp = 8;
-#ifdef MAX_KERNEL_NUM
-constexpr uint32_t kMaxNumOfKernels = MAX_KERNEL_NUM;
-#else
-constexpr uint32_t kMaxNumOfKernels =
-    kOperatorTableMaxSize * kMaxNumOfKernelPerOp;
-#endif
+namespace internal {
+void make_kernel_key_string(Span<const TensorMeta> key, char* buf);
+} // namespace internal
+
 /**
- * See OperatorRegistry::hasOpsFn()
+ * Checks whether an operator exists with a given name and TensorMeta list. When
+ * TensorMeta is empty, it means this op does not have specialized kernels, so
+ * it checks whether it has any fallback kernels.
  */
-bool hasOpsFn(const char* name, ArrayRef<TensorMeta> meta_list = {});
+bool registry_has_op_function(
+    const char* name,
+    Span<const TensorMeta> meta_list = {});
 
 /**
- * See OperatorRegistry::getOpsFn()
+ * Returns the operator with a given name and TensorMeta list, if present.
  */
-const OpFunction& getOpsFn(
+::executorch::runtime::Result<OpFunction> get_op_function_from_registry(
     const char* name,
-    ArrayRef<TensorMeta> meta_list = {});
+    Span<const TensorMeta> meta_list = {});
 
 /**
- * See OperatorRegistry::get_kernels()
+ * Returns all registered kernels.
  */
-ArrayRef<Kernel> get_kernels();
+Span<const Kernel> get_registered_kernels();
 
 /**
- * See OperatorRegistry::register_kernels(). Notice that the returned Error
- * object should be handled internally and the reason for keep returning is to
- * satisfy the requirement to run this in static initialization time.
+ * Registers the provided kernels.
+ *
+ * @param[in] kernels Kernel objects to register.
+ * @retval Error::Ok always. Panics on error. This function needs to return a
+ *     non-void type to run at static initialization time.
  */
-__ET_NODISCARD Error register_kernels(const ArrayRef<Kernel>&);
-
-struct OperatorRegistry {
- public:
-  OperatorRegistry() : num_kernels_(0) {}
-
-  /**
-   * Registers the Kernels object (i.e. string name and function reference
-   * pair). The kernels will be merged into Operators based on the op name.
-   *
-   * @param[in] kernels Kernel object
-   * @retval Error code representing whether registration was successful.
-   */
-  __ET_NODISCARD Error register_kernels(const ArrayRef<Kernel>&);
-
-  /**
-   * Checks whether an operator with a given name and TensorMeta list.
-   * When TensorMeta is empty, it means this op does not have specialized
-   * kernels, so it checks whether it has any fallback kernels.
-   */
-  bool hasOpsFn(const char* name, ArrayRef<TensorMeta> meta_list);
+ET_NODISCARD Error register_kernels(const Span<const Kernel>);
 
-  /**
-   * Get the operator with a given name and TensorMeta list
-   */
-  const OpFunction& getOpsFn(const char* name, ArrayRef<TensorMeta> meta_list);
-
-  /**
-   * Return all registered operators.
-   */
-  ArrayRef<Kernel> get_kernels();
-
- private:
-  Kernel kernels_[kMaxNumOfKernels];
-  uint32_t num_kernels_;
+/**
+ * Registers a single kernel.
+ *
+ * @param[in] kernel Kernel object to register.
+ * @retval Error::Ok always. Panics on error. This function needs to return a
+ *     non-void type to run at static initialization time.
+ */
+ET_NODISCARD inline Error register_kernel(const Kernel& kernel) {
+  return register_kernels({&kernel, 1});
 };
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::Kernel;
+using ::executorch::runtime::KernelKey;
+using ::executorch::runtime::KernelRuntimeContext;
+using ::executorch::runtime::OpFunction;
+using ::executorch::runtime::TensorMeta;
+using KernelRuntimeContext = ::executorch::runtime::KernelRuntimeContext;
+
+inline ::executorch::runtime::Error register_kernels(ArrayRef<Kernel> kernels) {
+  return ::executorch::runtime::register_kernels(
+      {kernels.data(), kernels.size()});
+}
+inline OpFunction getOpsFn(
+    const char* name,
+    ArrayRef<TensorMeta> meta_list = {}) {
+  auto result = ::executorch::runtime::get_op_function_from_registry(
+      name, {meta_list.data(), meta_list.size()});
+  ET_CHECK(result.ok()); // get_op_function_from_registry() logs details.
+  return *result;
+}
+inline bool hasOpsFn(const char* name, ArrayRef<TensorMeta> meta_list = {}) {
+  return ::executorch::runtime::registry_has_op_function(
+      name, {meta_list.data(), meta_list.size()});
+}
+inline ArrayRef<Kernel> get_kernels() {
+  Span<const Kernel> kernels = ::executorch::runtime::get_registered_kernels();
+  return ArrayRef<Kernel>(kernels.data(), kernels.size());
+}
 } // namespace executor
 } // namespace torch
diff --git a/runtime/kernel/targets.bzl b/runtime/kernel/targets.bzl
index 0bf45321dc..ed013260a9 100644
--- a/runtime/kernel/targets.bzl
+++ b/runtime/kernel/targets.bzl
@@ -1,5 +1,18 @@
 load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
 
+def _operator_registry_preprocessor_flags():
+    max_kernel_num = native.read_config("executorch", "max_kernel_num", None)
+    if max_kernel_num != None:
+        return ["-DMAX_KERNEL_NUM=" + max_kernel_num]
+    elif not runtime.is_oss:
+        return select({
+            "DEFAULT": [],
+            "fbsource//xplat/executorch/build/constraints:executorch-max-kernel-num-256": ["-DMAX_KERNEL_NUM=256"],
+            "fbsource//xplat/executorch/build/constraints:executorch-max-kernel-num-64": ["-DMAX_KERNEL_NUM=64"],
+        })
+    else:
+        return []
+
 def define_common_targets():
     """Defines targets that should be shared between fbcode and xplat.
 
@@ -7,7 +20,6 @@ def define_common_targets():
     TARGETS and BUCK files that call this function.
     """
 
-    max_kernel_num = native.read_config("executorch", "max_kernel_num", None)
     runtime.cxx_library(
         name = "operator_registry",
         srcs = ["operator_registry.cpp"],
@@ -20,7 +32,7 @@ def define_common_targets():
             "//executorch/runtime/core:core",
             "//executorch/runtime/core:evalue",
         ],
-        preprocessor_flags = ["-DMAX_KERNEL_NUM=" + max_kernel_num] if max_kernel_num != None else [],
+        preprocessor_flags = _operator_registry_preprocessor_flags(),
     )
 
     runtime.cxx_library(
diff --git a/runtime/kernel/test/kernel_double_registration_test.cpp b/runtime/kernel/test/kernel_double_registration_test.cpp
index f1d25f9185..1739dffd31 100644
--- a/runtime/kernel/test/kernel_double_registration_test.cpp
+++ b/runtime/kernel/test/kernel_double_registration_test.cpp
@@ -15,13 +15,17 @@
 
 using namespace ::testing;
 
-namespace torch {
-namespace executor {
+using executorch::runtime::ArrayRef;
+using executorch::runtime::Error;
+using executorch::runtime::EValue;
+using executorch::runtime::Kernel;
+using executorch::runtime::KernelRuntimeContext;
+using executorch::runtime::register_kernels;
 
 class KernelDoubleRegistrationTest : public ::testing::Test {
  public:
   void SetUp() override {
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
   }
 };
 
@@ -29,14 +33,10 @@ TEST_F(KernelDoubleRegistrationTest, Basic) {
   Kernel kernels[] = {Kernel(
       "aten::add.out",
       "v1/7;0,1,2,3|7;0,1,2,3|7;0,1,2,3",
-      [](RuntimeContext&, EValue**) {})};
-  ArrayRef<Kernel> kernels_array = ArrayRef<Kernel>(kernels);
+      [](KernelRuntimeContext&, EValue**) {})};
   Error err = Error::InvalidArgument;
 
   ET_EXPECT_DEATH(
-      { auto res = register_kernels(kernels_array); },
+      { (void)register_kernels({kernels}); },
       std::to_string(static_cast<uint32_t>(err)));
 }
-
-} // namespace executor
-} // namespace torch
diff --git a/runtime/kernel/test/kernel_runtime_context_test.cpp b/runtime/kernel/test/kernel_runtime_context_test.cpp
index 15709d52bf..50bd860fb9 100644
--- a/runtime/kernel/test/kernel_runtime_context_test.cpp
+++ b/runtime/kernel/test/kernel_runtime_context_test.cpp
@@ -13,15 +13,15 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-using torch::executor::Error;
-using torch::executor::KernelRuntimeContext;
-using torch::executor::MemoryAllocator;
-using torch::executor::Result;
+using executorch::runtime::Error;
+using executorch::runtime::KernelRuntimeContext;
+using executorch::runtime::MemoryAllocator;
+using executorch::runtime::Result;
 
 class KernelRuntimeContextTest : public ::testing::Test {
  public:
   void SetUp() override {
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
   }
 };
 
diff --git a/runtime/kernel/test/operator_registry_max_kernel_num_test.cpp b/runtime/kernel/test/operator_registry_max_kernel_num_test.cpp
index ae6926f723..6f6fe4b9e1 100644
--- a/runtime/kernel/test/operator_registry_max_kernel_num_test.cpp
+++ b/runtime/kernel/test/operator_registry_max_kernel_num_test.cpp
@@ -16,37 +16,36 @@
 #include <executorch/test/utils/DeathTest.h>
 
 using namespace ::testing;
-
-namespace torch {
-namespace executor {
+using executorch::runtime::ArrayRef;
+using executorch::runtime::Error;
+using executorch::runtime::EValue;
+using executorch::runtime::Kernel;
+using executorch::runtime::KernelRuntimeContext;
+using executorch::runtime::register_kernels;
+using executorch::runtime::registry_has_op_function;
 
 class OperatorRegistryMaxKernelNumTest : public ::testing::Test {
  public:
   void SetUp() override {
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
   }
 };
 
 // Register one kernel when max_kernel_num=1; success
 TEST_F(OperatorRegistryMaxKernelNumTest, RegisterOneOp) {
-  Kernel kernels[] = {Kernel("foo", [](RuntimeContext&, EValue**) {})};
-  ArrayRef<Kernel> kernels_array = ArrayRef<Kernel>(kernels);
-  auto s1 = register_kernels(kernels_array);
+  Kernel kernels[] = {Kernel("foo", [](KernelRuntimeContext&, EValue**) {})};
+  auto s1 = register_kernels({kernels});
   EXPECT_EQ(s1, Error::Ok);
-  EXPECT_FALSE(hasOpsFn("fpp"));
-  EXPECT_TRUE(hasOpsFn("foo"));
+  EXPECT_FALSE(registry_has_op_function("fpp"));
+  EXPECT_TRUE(registry_has_op_function("foo"));
 }
 
 // Register two kernels when max_kernel_num=1; fail
 TEST_F(OperatorRegistryMaxKernelNumTest, RegisterTwoOpsFail) {
   Kernel kernels[] = {
-      Kernel("foo1", [](RuntimeContext&, EValue**) {}),
-      Kernel("foo2", [](RuntimeContext&, EValue**) {})};
-  ArrayRef<Kernel> kernels_array = ArrayRef<Kernel>(kernels);
+      Kernel("foo1", [](KernelRuntimeContext&, EValue**) {}),
+      Kernel("foo2", [](KernelRuntimeContext&, EValue**) {})};
   ET_EXPECT_DEATH(
-      { register_kernels(kernels_array); },
+      { (void)register_kernels({kernels}); },
       "The total number of kernels to be registered is larger than the limit 1");
 }
-
-} // namespace executor
-} // namespace torch
diff --git a/runtime/kernel/test/operator_registry_test.cpp b/runtime/kernel/test/operator_registry_test.cpp
index 0aee13896b..57439a2bd0 100644
--- a/runtime/kernel/test/operator_registry_test.cpp
+++ b/runtime/kernel/test/operator_registry_test.cpp
@@ -10,6 +10,8 @@
 #include <vector>
 
 #include <executorch/runtime/core/exec_aten/exec_aten.h>
+#include <executorch/runtime/core/result.h>
+#include <executorch/runtime/core/span.h>
 #include <executorch/runtime/kernel/kernel_runtime_context.h>
 #include <executorch/runtime/kernel/operator_registry.h>
 #include <executorch/runtime/kernel/test/test_util.h>
@@ -17,31 +19,44 @@
 #include <executorch/test/utils/DeathTest.h>
 
 using namespace ::testing;
-
-namespace torch {
-namespace executor {
+using exec_aten::Scalar;
+using exec_aten::ScalarType;
+using exec_aten::Tensor;
+using executorch::runtime::Error;
+using executorch::runtime::EValue;
+using executorch::runtime::get_op_function_from_registry;
+using executorch::runtime::Kernel;
+using executorch::runtime::KernelKey;
+using executorch::runtime::KernelRuntimeContext;
+using executorch::runtime::OpFunction;
+using executorch::runtime::register_kernels;
+using executorch::runtime::registry_has_op_function;
+using executorch::runtime::Result;
+using executorch::runtime::Span;
+using executorch::runtime::TensorMeta;
+using executorch::runtime::testing::make_kernel_key;
 
 class OperatorRegistryTest : public ::testing::Test {
  public:
   void SetUp() override {
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
   }
 };
 
 TEST_F(OperatorRegistryTest, Basic) {
-  Kernel kernels[] = {Kernel("foo", [](RuntimeContext&, EValue**) {})};
-  ArrayRef<Kernel> kernels_array = ArrayRef<Kernel>(kernels);
-  auto s1 = register_kernels(kernels_array);
-  EXPECT_FALSE(hasOpsFn("fpp"));
-  EXPECT_TRUE(hasOpsFn("foo"));
+  Kernel kernels[] = {Kernel("foo", [](KernelRuntimeContext&, EValue**) {})};
+  Span<const Kernel> kernels_span(kernels);
+  (void)register_kernels(kernels_span);
+  EXPECT_FALSE(registry_has_op_function("fpp"));
+  EXPECT_TRUE(registry_has_op_function("foo"));
 }
 
 TEST_F(OperatorRegistryTest, RegisterOpsMoreThanOnceDie) {
   Kernel kernels[] = {
-      Kernel("foo", [](RuntimeContext&, EValue**) {}),
-      Kernel("foo", [](RuntimeContext&, EValue**) {})};
-  ArrayRef<Kernel> kernels_array = ArrayRef<Kernel>(kernels);
-  ET_EXPECT_DEATH({ auto res = register_kernels(kernels_array); }, "");
+      Kernel("foo", [](KernelRuntimeContext&, EValue**) {}),
+      Kernel("foo", [](KernelRuntimeContext&, EValue**) {})};
+  Span<const Kernel> kernels_span = Span<const Kernel>(kernels);
+  ET_EXPECT_DEATH({ (void)register_kernels(kernels_span); }, "");
 }
 
 constexpr int BUF_SIZE = KernelKey::MAX_SIZE;
@@ -75,29 +90,36 @@ TEST_F(OperatorRegistryTest, RegisterKernels) {
   make_kernel_key({{ScalarType::Long, {0, 1, 2, 3}}}, buf_long_contiguous);
   KernelKey key = KernelKey(buf_long_contiguous);
 
-  Kernel kernel_1 =
-      Kernel("test::boo", key, [](RuntimeContext& context, EValue** stack) {
+  Kernel kernel_1 = Kernel(
+      "test::boo", key, [](KernelRuntimeContext& context, EValue** stack) {
         (void)context;
         *(stack[0]) = Scalar(100);
       });
-  auto s1 = register_kernels({kernel_1});
-  EXPECT_EQ(s1, torch::executor::Error::Ok);
+  auto s1 = register_kernels({&kernel_1, 1});
+  EXPECT_EQ(s1, Error::Ok);
 
   Tensor::DimOrderType dims[] = {0, 1, 2, 3};
-  auto dim_order_type = ArrayRef<Tensor::DimOrderType>(dims, 4);
+  auto dim_order_type = Span<Tensor::DimOrderType>(dims, 4);
   TensorMeta meta[] = {TensorMeta(ScalarType::Long, dim_order_type)};
-  ArrayRef<TensorMeta> user_kernel_key = ArrayRef<TensorMeta>(meta, 1);
-  EXPECT_TRUE(hasOpsFn("test::boo", user_kernel_key));
+  Span<const TensorMeta> user_kernel_key(meta);
+
   // no fallback kernel is registered
-  EXPECT_FALSE(hasOpsFn("test::boo", {}));
-  OpFunction func = getOpsFn("test::boo", user_kernel_key);
+  EXPECT_FALSE(registry_has_op_function("test::boo", {}));
+  Result<OpFunction> fallback_func =
+      get_op_function_from_registry("test::boo", {});
+  EXPECT_NE(fallback_func.error(), Error::Ok);
+
+  EXPECT_TRUE(registry_has_op_function("test::boo", user_kernel_key));
+  Result<OpFunction> func =
+      get_op_function_from_registry("test::boo", user_kernel_key);
+  EXPECT_EQ(func.error(), Error::Ok);
 
   EValue values[1];
   values[0] = Scalar(0);
   EValue* kernels[1];
   kernels[0] = &values[0];
-  RuntimeContext context{};
-  func(context, kernels);
+  KernelRuntimeContext context{};
+  (*func)(context, kernels);
 
   auto val = values[0].toScalar().to<int64_t>();
   ASSERT_EQ(val, 100);
@@ -111,13 +133,13 @@ TEST_F(OperatorRegistryTest, RegisterTwoKernels) {
   char buf_float_contiguous[BUF_SIZE];
   make_kernel_key({{ScalarType::Float, {0, 1, 2, 3}}}, buf_float_contiguous);
   KernelKey key_2 = KernelKey(buf_float_contiguous);
-  Kernel kernel_1 =
-      Kernel("test::bar", key_1, [](RuntimeContext& context, EValue** stack) {
+  Kernel kernel_1 = Kernel(
+      "test::bar", key_1, [](KernelRuntimeContext& context, EValue** stack) {
         (void)context;
         *(stack[0]) = Scalar(100);
       });
-  Kernel kernel_2 =
-      Kernel("test::bar", key_2, [](RuntimeContext& context, EValue** stack) {
+  Kernel kernel_2 = Kernel(
+      "test::bar", key_2, [](KernelRuntimeContext& context, EValue** stack) {
         (void)context;
         *(stack[0]) = Scalar(50);
       });
@@ -125,36 +147,42 @@ TEST_F(OperatorRegistryTest, RegisterTwoKernels) {
   auto s1 = register_kernels(kernels);
   // has both kernels
   Tensor::DimOrderType dims[] = {0, 1, 2, 3};
-  auto dim_order_type = ArrayRef<Tensor::DimOrderType>(dims, 4);
+  auto dim_order_type = Span<Tensor::DimOrderType>(dims, 4);
   TensorMeta meta[] = {TensorMeta(ScalarType::Long, dim_order_type)};
-  ArrayRef<TensorMeta> user_kernel_key_1 = ArrayRef<TensorMeta>(meta, 1);
+  Span<const TensorMeta> user_kernel_key_1(meta);
 
   TensorMeta meta_2[] = {TensorMeta(ScalarType::Float, dim_order_type)};
-  ArrayRef<TensorMeta> user_kernel_key_2 = ArrayRef<TensorMeta>(meta_2, 1);
-
-  EXPECT_TRUE(hasOpsFn("test::bar", user_kernel_key_1));
-  EXPECT_TRUE(hasOpsFn("test::bar", user_kernel_key_2));
+  Span<const TensorMeta> user_kernel_key_2(meta_2);
 
   // no fallback kernel is registered
-  EXPECT_FALSE(hasOpsFn("test::bar", {}));
+  EXPECT_FALSE(registry_has_op_function("test::bar", {}));
+  Result<OpFunction> fallback_func =
+      get_op_function_from_registry("test::bar", {});
+  EXPECT_NE(fallback_func.error(), Error::Ok);
 
   EValue values[1];
   values[0] = Scalar(0);
   EValue* evalues[1];
   evalues[0] = &values[0];
-  RuntimeContext context{};
+  KernelRuntimeContext context{};
 
   // test kernel_1
-  OpFunction func_1 = getOpsFn("test::bar", user_kernel_key_1);
-  func_1(context, evalues);
+  EXPECT_TRUE(registry_has_op_function("test::bar", user_kernel_key_1));
+  Result<OpFunction> func_1 =
+      get_op_function_from_registry("test::bar", user_kernel_key_1);
+  EXPECT_EQ(func_1.error(), Error::Ok);
+  (*func_1)(context, evalues);
 
   auto val_1 = values[0].toScalar().to<int64_t>();
   ASSERT_EQ(val_1, 100);
 
   // test kernel_2
+  EXPECT_TRUE(registry_has_op_function("test::bar", user_kernel_key_2));
+  Result<OpFunction> func_2 =
+      get_op_function_from_registry("test::bar", user_kernel_key_2);
+  EXPECT_EQ(func_2.error(), Error::Ok);
   values[0] = Scalar(0);
-  OpFunction func_2 = getOpsFn("test::bar", user_kernel_key_2);
-  func_2(context, evalues);
+  (*func_2)(context, evalues);
 
   auto val_2 = values[0].toScalar().to<int64_t>();
   ASSERT_EQ(val_2, 50);
@@ -165,13 +193,13 @@ TEST_F(OperatorRegistryTest, DoubleRegisterKernelsDies) {
   make_kernel_key({{ScalarType::Long, {0, 1, 2, 3}}}, buf_long_contiguous);
   KernelKey key = KernelKey(buf_long_contiguous);
 
-  Kernel kernel_1 =
-      Kernel("test::baz", key, [](RuntimeContext& context, EValue** stack) {
+  Kernel kernel_1 = Kernel(
+      "test::baz", key, [](KernelRuntimeContext& context, EValue** stack) {
         (void)context;
         *(stack[0]) = Scalar(100);
       });
-  Kernel kernel_2 =
-      Kernel("test::baz", key, [](RuntimeContext& context, EValue** stack) {
+  Kernel kernel_2 = Kernel(
+      "test::baz", key, [](KernelRuntimeContext& context, EValue** stack) {
         (void)context;
         *(stack[0]) = Scalar(50);
       });
@@ -186,32 +214,31 @@ TEST_F(OperatorRegistryTest, ExecutorChecksKernel) {
   make_kernel_key({{ScalarType::Long, {0, 1, 2, 3}}}, buf_long_contiguous);
   KernelKey key = KernelKey(buf_long_contiguous);
 
-  Kernel kernel_1 =
-      Kernel("test::qux", key, [](RuntimeContext& context, EValue** stack) {
+  Kernel kernel_1 = Kernel(
+      "test::qux", key, [](KernelRuntimeContext& context, EValue** stack) {
         (void)context;
         *(stack[0]) = Scalar(100);
       });
-  auto s1 = register_kernels({kernel_1});
-  EXPECT_EQ(s1, torch::executor::Error::Ok);
+  auto s1 = register_kernels({&kernel_1, 1});
+  EXPECT_EQ(s1, Error::Ok);
 
   Tensor::DimOrderType dims[] = {0, 1, 2, 3};
-  auto dim_order_type = ArrayRef<Tensor::DimOrderType>(dims, 4);
+  auto dim_order_type = Span<Tensor::DimOrderType>(dims, 4);
   TensorMeta meta[] = {TensorMeta(ScalarType::Long, dim_order_type)};
-  ArrayRef<TensorMeta> user_kernel_key_1 = ArrayRef<TensorMeta>(meta, 1);
-  EXPECT_TRUE(hasOpsFn("test::qux", user_kernel_key_1));
+  Span<const TensorMeta> user_kernel_key_1(meta);
+  EXPECT_TRUE(registry_has_op_function("test::qux", user_kernel_key_1));
 
   Tensor::DimOrderType dims_channel_first[] = {0, 3, 1, 2};
   auto dim_order_type_channel_first =
-      ArrayRef<Tensor::DimOrderType>(dims_channel_first, 4);
+      Span<Tensor::DimOrderType>(dims_channel_first, 4);
   TensorMeta meta_channel_first[] = {
       TensorMeta(ScalarType::Long, dim_order_type_channel_first)};
-  ArrayRef<TensorMeta> user_kernel_key_2 =
-      ArrayRef<TensorMeta>(meta_channel_first, 1);
-  EXPECT_FALSE(hasOpsFn("test::qux", user_kernel_key_2));
+  Span<const TensorMeta> user_kernel_key_2(meta_channel_first);
+  EXPECT_FALSE(registry_has_op_function("test::qux", user_kernel_key_2));
 
   TensorMeta meta_float[] = {TensorMeta(ScalarType::Float, dim_order_type)};
-  ArrayRef<TensorMeta> user_kernel_key_3 = ArrayRef<TensorMeta>(meta_float, 1);
-  EXPECT_FALSE(hasOpsFn("test::qux", ArrayRef<TensorMeta>(user_kernel_key_3)));
+  Span<const TensorMeta> user_kernel_key_3(meta_float);
+  EXPECT_FALSE(registry_has_op_function("test::qux", user_kernel_key_3));
 }
 
 TEST_F(OperatorRegistryTest, ExecutorUsesKernel) {
@@ -219,28 +246,30 @@ TEST_F(OperatorRegistryTest, ExecutorUsesKernel) {
   make_kernel_key({{ScalarType::Long, {0, 1, 2, 3}}}, buf_long_contiguous);
   KernelKey key = KernelKey(buf_long_contiguous);
 
-  Kernel kernel_1 =
-      Kernel("test::quux", key, [](RuntimeContext& context, EValue** stack) {
+  Kernel kernel_1 = Kernel(
+      "test::quux", key, [](KernelRuntimeContext& context, EValue** stack) {
         (void)context;
         *(stack[0]) = Scalar(100);
       });
-  auto s1 = register_kernels({kernel_1});
-  EXPECT_EQ(s1, torch::executor::Error::Ok);
+  auto s1 = register_kernels({&kernel_1, 1});
+  EXPECT_EQ(s1, Error::Ok);
 
   Tensor::DimOrderType dims[] = {0, 1, 2, 3};
-  auto dim_order_type = ArrayRef<Tensor::DimOrderType>(dims, 4);
+  auto dim_order_type = Span<Tensor::DimOrderType>(dims, 4);
   TensorMeta meta[] = {TensorMeta(ScalarType::Long, dim_order_type)};
-  ArrayRef<TensorMeta> user_kernel_key_1 = ArrayRef<TensorMeta>(meta, 1);
-  EXPECT_TRUE(hasOpsFn("test::quux", ArrayRef<TensorMeta>(meta)));
+  Span<const TensorMeta> user_kernel_key_1(meta);
 
-  OpFunction func = getOpsFn("test::quux", ArrayRef<TensorMeta>(meta));
+  EXPECT_TRUE(registry_has_op_function("test::quux", user_kernel_key_1));
+  Result<OpFunction> func =
+      get_op_function_from_registry("test::quux", user_kernel_key_1);
+  EXPECT_EQ(func.error(), Error::Ok);
 
   EValue values[1];
   values[0] = Scalar(0);
   EValue* kernels[1];
   kernels[0] = &values[0];
-  RuntimeContext context{};
-  func(context, kernels);
+  KernelRuntimeContext context{};
+  (*func)(context, kernels);
 
   auto val = values[0].toScalar().to<int64_t>();
   ASSERT_EQ(val, 100);
@@ -248,28 +277,28 @@ TEST_F(OperatorRegistryTest, ExecutorUsesKernel) {
 
 TEST_F(OperatorRegistryTest, ExecutorUsesFallbackKernel) {
   Kernel kernel_1 = Kernel(
-      "test::corge", KernelKey{}, [](RuntimeContext& context, EValue** stack) {
+      "test::corge",
+      KernelKey{},
+      [](KernelRuntimeContext& context, EValue** stack) {
         (void)context;
         *(stack[0]) = Scalar(100);
       });
-  auto s1 = register_kernels({kernel_1});
-  EXPECT_EQ(s1, torch::executor::Error::Ok);
+  auto s1 = register_kernels({&kernel_1, 1});
+  EXPECT_EQ(s1, Error::Ok);
 
-  EXPECT_TRUE(hasOpsFn("test::corge"));
-  EXPECT_TRUE(hasOpsFn("test::corge", ArrayRef<TensorMeta>()));
+  EXPECT_TRUE(registry_has_op_function("test::corge"));
+  EXPECT_TRUE(registry_has_op_function("test::corge", {}));
 
-  OpFunction func = getOpsFn("test::corge", ArrayRef<TensorMeta>());
+  Result<OpFunction> func = get_op_function_from_registry("test::corge", {});
+  EXPECT_EQ(func.error(), Error::Ok);
 
   EValue values[1];
   values[0] = Scalar(0);
   EValue* kernels[1];
   kernels[0] = &values[0];
-  RuntimeContext context{};
-  func(context, kernels);
+  KernelRuntimeContext context{};
+  (*func)(context, kernels);
 
   auto val = values[0].toScalar().to<int64_t>();
   ASSERT_EQ(val, 100);
 }
-
-} // namespace executor
-} // namespace torch
diff --git a/runtime/kernel/test/test_kernel_manual_registration.cpp b/runtime/kernel/test/test_kernel_manual_registration.cpp
index 5e72795d2c..de8853c781 100644
--- a/runtime/kernel/test/test_kernel_manual_registration.cpp
+++ b/runtime/kernel/test/test_kernel_manual_registration.cpp
@@ -6,32 +6,35 @@
  * LICENSE file in the root directory of this source tree.
  */
 
-// Include RegisterKernels.h and call register_all_kernels().
+#include <executorch/runtime/kernel/test/RegisterKernels.h>
+
 #include <gtest/gtest.h>
 
 #include <executorch/runtime/kernel/operator_registry.h>
-#include <executorch/runtime/kernel/test/RegisterKernels.h>
 #include <executorch/runtime/platform/runtime.h>
 
 using namespace ::testing;
-
-namespace torch {
-namespace executor {
+using executorch::runtime::Error;
+using executorch::runtime::registry_has_op_function;
 
 class KernelManualRegistrationTest : public ::testing::Test {
  public:
   void SetUp() override {
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
   }
 };
 
 TEST_F(KernelManualRegistrationTest, ManualRegister) {
-  Error result = register_all_kernels();
-  // Check that we can find the kernel for foo.
+  // Before registering, we can't find the add operator.
+  EXPECT_FALSE(registry_has_op_function("aten::add.out"));
+
+  // Call the generated registration function.
+  Error result = torch::executor::register_all_kernels();
   EXPECT_EQ(result, Error::Ok);
-  EXPECT_FALSE(hasOpsFn("fpp"));
-  EXPECT_TRUE(hasOpsFn("aten::add.out"));
-}
 
-} // namespace executor
-} // namespace torch
+  // We can now find the registered add operator.
+  EXPECT_TRUE(registry_has_op_function("aten::add.out"));
+
+  // We can't find a random other operator.
+  EXPECT_FALSE(registry_has_op_function("fpp"));
+}
diff --git a/runtime/kernel/test/test_util.h b/runtime/kernel/test/test_util.h
index 02078c6015..0c6c651af3 100644
--- a/runtime/kernel/test/test_util.h
+++ b/runtime/kernel/test/test_util.h
@@ -11,24 +11,28 @@
 #include <vector>
 
 #include <executorch/runtime/core/exec_aten/exec_aten.h>
+#include <executorch/runtime/kernel/operator_registry.h>
 
-namespace torch {
-namespace executor {
-void make_kernel_key_string(ArrayRef<TensorMeta> key, char* buf);
+namespace executorch {
+namespace runtime {
+
+namespace testing {
 
 inline void make_kernel_key(
-    std::vector<std::pair<ScalarType, std::vector<exec_aten::DimOrderType>>>
+    std::vector<
+        std::pair<exec_aten::ScalarType, std::vector<exec_aten::DimOrderType>>>
         tensors,
     char* buf) {
   std::vector<TensorMeta> meta;
   for (auto& t : tensors) {
-    ArrayRef<exec_aten::DimOrderType> dim_order(
-        t.second.data(), t.second.size());
+    Span<exec_aten::DimOrderType> dim_order(t.second.data(), t.second.size());
     meta.emplace_back(t.first, dim_order);
   }
-  auto meatadata = ArrayRef<TensorMeta>(meta.data(), meta.size());
-  make_kernel_key_string(meatadata, buf);
+  Span<const TensorMeta> metadata(meta.data(), meta.size());
+  internal::make_kernel_key_string(metadata, buf);
 }
 
-} // namespace executor
-} // namespace torch
+} // namespace testing
+
+} // namespace runtime
+} // namespace executorch
diff --git a/runtime/platform/abort.cpp b/runtime/platform/abort.cpp
index b1d62bc5c3..27320e4845 100644
--- a/runtime/platform/abort.cpp
+++ b/runtime/platform/abort.cpp
@@ -9,16 +9,16 @@
 #include <executorch/runtime/platform/abort.h>
 #include <executorch/runtime/platform/platform.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * Trigger the ExecuTorch global runtime to immediately exit without cleaning
  * up, and set an abnormal exit status (platform-defined).
  */
-__ET_NORETURN void runtime_abort() {
+ET_NORETURN void runtime_abort() {
   et_pal_abort();
 }
 
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
diff --git a/runtime/platform/abort.h b/runtime/platform/abort.h
index 72acb07521..ae1a761aa7 100644
--- a/runtime/platform/abort.h
+++ b/runtime/platform/abort.h
@@ -15,14 +15,22 @@
 
 #include <executorch/runtime/platform/compiler.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * Trigger the ExecuTorch global runtime to immediately exit without cleaning
  * up, and set an abnormal exit status (platform-defined).
  */
-__ET_NORETURN void runtime_abort();
+ET_NORETURN void runtime_abort();
+
+} // namespace runtime
+} // namespace executorch
 
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::runtime_abort;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/platform/assert.h b/runtime/platform/assert.h
index 9222b8ed7f..3a574334db 100644
--- a/runtime/platform/assert.h
+++ b/runtime/platform/assert.h
@@ -22,7 +22,7 @@
   ET_LOG(                                        \
       Fatal,                                     \
       "In function %s(), assert failed" _format, \
-      __ET_FUNCTION,                             \
+      ET_FUNCTION,                               \
       ##__VA_ARGS__)
 
 /**
@@ -35,9 +35,9 @@
  */
 #define ET_CHECK_MSG(_cond, _format, ...)                               \
   ({                                                                    \
-    if __ET_UNLIKELY (!(_cond)) {                                       \
+    if ET_UNLIKELY (!(_cond)) {                                         \
       ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \
-      torch::executor::runtime_abort();                                 \
+      ::executorch::runtime::runtime_abort();                           \
     }                                                                   \
   })
 
@@ -49,9 +49,9 @@
  */
 #define ET_CHECK(_cond)                       \
   ({                                          \
-    if __ET_UNLIKELY (!(_cond)) {             \
+    if ET_UNLIKELY (!(_cond)) {               \
       ET_ASSERT_MESSAGE_EMIT(": %s", #_cond); \
-      torch::executor::runtime_abort();       \
+      ::executorch::runtime::runtime_abort(); \
     }                                         \
   })
 
@@ -104,7 +104,7 @@
 #define ET_ASSERT_UNREACHABLE()                                   \
   ({                                                              \
     ET_CHECK_MSG(false, "Execution should not reach this point"); \
-    __ET_UNREACHABLE();                                           \
+    ET_UNREACHABLE();                                             \
   })
 
 /**
@@ -116,5 +116,5 @@
   ({                                                                   \
     ET_CHECK_MSG(                                                      \
         false, "Execution should not reach this point. %s", _message); \
-    __ET_UNREACHABLE();                                                \
+    ET_UNREACHABLE();                                                  \
   })
diff --git a/runtime/platform/clock.h b/runtime/platform/clock.h
index 608b18d6ca..36c25d90c4 100644
--- a/runtime/platform/clock.h
+++ b/runtime/platform/clock.h
@@ -15,8 +15,8 @@
 
 #include <executorch/runtime/platform/platform.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * Convert an interval from units of system ticks to nanoseconds.
@@ -31,5 +31,13 @@ inline uint64_t ticks_to_ns(et_timestamp_t ticks) {
   return static_cast<uint64_t>(ticks) * ratio.numerator / ratio.denominator;
 }
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::ticks_to_ns;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/platform/compiler.h b/runtime/platform/compiler.h
index 5ecc8717e4..b6f7fc8642 100644
--- a/runtime/platform/compiler.h
+++ b/runtime/platform/compiler.h
@@ -13,17 +13,32 @@
 
 #pragma once
 
-// Compiler support checks.
+/*
+ * Compiler support checks. Follows the logic used by pytorch/c10/util/C++17.h
+ * but may support older versions.
+ */
+
+// https://gcc.gnu.org/projects/cxx-status.html#cxx17
+#if !defined(__clang__) && !defined(_MSC_VER) && defined(__GNUC__) && \
+    __GNUC__ < 7
+#error \
+    "You're trying to build ExecuTorch with a too old version of GCC. We need GCC 7 or later."
+#endif
+
+// https://clang.llvm.org/cxx_status.html#cxx17
+#if defined(__clang__) && __clang_major__ < 5
+#error \
+    "You're trying to build ExecuTorch with a too old version of Clang. We need Clang 5 or later."
+#endif
 
-#if !defined(__cplusplus)
-#error ExecuTorch must be compiled using a C++ compiler.
+#if (defined(_MSC_VER) && (!defined(_MSVC_LANG) || _MSVC_LANG < 201703L)) || \
+    (!defined(_MSC_VER) && __cplusplus < 201703L)
+#error "You need C++17 to compile ExecuTorch"
 #endif
 
-#if __cplusplus < 201103L && (!defined(_MSC_VER) || _MSC_VER < 1600) && \
-    (!defined(__GNUC__) ||                                              \
-     (__GNUC__ * 10000 + __GNUC_MINOR__ * 100 + __GNUC_PATCHLEVEL__ < 40400))
-#error ExecuTorch must use a compiler supporting at least the C++11 standard.
-#error __cplusplus _MSC_VER __GNUC__  __GNUC_MINOR__  __GNUC_PATCHLEVEL__
+#if defined(_WIN32) && (defined(min) || defined(max))
+#error \
+    "Macro clash with min and max -- define NOMINMAX when compiling your program on Windows"
 #endif
 
 /*
@@ -39,71 +54,77 @@
  *   https://gcc.gnu.org/onlinedocs/gcc/Common-Function-Attributes.html
  */
 
-#define __ET_NORETURN [[noreturn]]
-#define __ET_NOINLINE __attribute__((noinline))
-#define __ET_INLINE __attribute__((always_inline)) inline
+#define ET_NORETURN [[noreturn]]
+#define ET_NOINLINE __attribute__((noinline))
+#define ET_INLINE __attribute__((always_inline)) inline
+#define ET_INLINE_ATTRIBUTE __attribute__((always_inline))
 
 #if defined(__GNUC__)
 
-#define __ET_UNREACHABLE() __builtin_unreachable()
+#define ET_UNREACHABLE() __builtin_unreachable()
 
 #elif defined(_MSC_VER)
 
-#define __ET_UNREACHABLE() __assume(0)
+#define ET_UNREACHABLE() __assume(0)
 
 #else // defined(__GNUC__)
 
-#define __ET_UNREACHABLE() \
-  while (1)                \
+#define ET_UNREACHABLE() \
+  while (1)              \
     ;
 
 #endif // defined(__GNUC__)
 
 #if (__cplusplus) >= 201703L
 
-#define __ET_DEPRECATED [[deprecated]]
-#define __ET_FALLTHROUGH [[fallthrough]]
-#define __ET_NODISCARD [[nodiscard]]
-#define __ET_UNUSED [[maybe_unused]]
+#define ET_DEPRECATED [[deprecated]]
+#define ET_EXPERIMENTAL \
+  [[deprecated("This API is experimental and may change without notice.")]]
+#define ET_FALLTHROUGH [[fallthrough]]
+#define ET_NODISCARD [[nodiscard]]
+#define ET_UNUSED [[maybe_unused]]
 
 #else
 
-#define __ET_DEPRECATED __attribute__((deprecated))
-#define __ET_FALLTHROUGH __attribute__((fallthrough))
-#define __ET_NODISCARD __attribute__((warn_unused_result))
-#define __ET_UNUSED __attribute__((unused))
+#define ET_DEPRECATED __attribute__((deprecated))
+#define ET_EXPERIMENTAL \
+  __attribute__((       \
+      deprecated("This API is experimental and may change without notice.")))
+#define ET_FALLTHROUGH __attribute__((fallthrough))
+#define ET_NODISCARD __attribute__((warn_unused_result))
+#define ET_UNUSED __attribute__((unused))
 
 #endif // (__cplusplus) >= 201703L
 
 // UNLIKELY Macro
 // example
-// if __ET_UNLIKELY(a > 10 && b < 5) {
+// if ET_UNLIKELY(a > 10 && b < 5) {
 //   do something
 // }
 #if (__cplusplus) >= 202002L
 
-#define __ET_LIKELY(expr) (expr) [[likely]]
-#define __ET_UNLIKELY(expr) (expr) [[unlikely]]
+#define ET_LIKELY(expr) (expr) [[likely]]
+#define ET_UNLIKELY(expr) (expr) [[unlikely]]
 
 #else
 
-#define __ET_LIKELY(expr) (expr)
-#define __ET_UNLIKELY(expr) (expr)
+#define ET_LIKELY(expr) (expr)
+#define ET_UNLIKELY(expr) (expr)
 
 #endif // (__cplusplus) >= 202002L
 
 /// Define a C symbol with weak linkage.
-#define __ET_WEAK __attribute__((weak))
+#define ET_WEAK __attribute__((weak))
 
 /**
  * Annotation marking a function as printf-like, providing compiler support
  * for format string argument checking.
  */
-#define __ET_PRINTFLIKE(_string_index, _va_index) \
+#define ET_PRINTFLIKE(_string_index, _va_index) \
   __attribute__((format(printf, _string_index, _va_index)))
 
 /// Name of the source file without a directory string.
-#define __ET_SHORT_FILENAME (__builtin_strrchr("/" __FILE__, '/') + 1)
+#define ET_SHORT_FILENAME (__builtin_strrchr("/" __FILE__, '/') + 1)
 
 #ifndef __has_builtin
 #define __has_builtin(x) (0)
@@ -111,24 +132,51 @@
 
 #if __has_builtin(__builtin_LINE)
 /// Current line as an integer.
-#define __ET_LINE __builtin_LINE()
+#define ET_LINE __builtin_LINE()
 #else
-#define __ET_LINE __LINE__
+#define ET_LINE __LINE__
 #endif // __has_builtin(__builtin_LINE)
 
 #if __has_builtin(__builtin_FUNCTION)
 /// Name of the current function as a const char[].
-#define __ET_FUNCTION __builtin_FUNCTION()
+#define ET_FUNCTION __builtin_FUNCTION()
 #else
-#define __ET_FUNCTION __FUNCTION__
+#define ET_FUNCTION __FUNCTION__
 #endif // __has_builtin(__builtin_FUNCTION)
 
 // Whether the compiler supports GNU statement expressions.
 // https://gcc.gnu.org/onlinedocs/gcc/Statement-Exprs.html
-#ifndef __ET_HAVE_GNU_STATEMENT_EXPRESSIONS
+#ifndef ET_HAVE_GNU_STATEMENT_EXPRESSIONS
 #if (defined(__GNUC__) && __GNUC__ >= 3) || defined(__clang__)
-#define __ET_HAVE_GNU_STATEMENT_EXPRESSIONS 1
+#define ET_HAVE_GNU_STATEMENT_EXPRESSIONS 1
 #else
-#define __ET_HAVE_GNU_STATEMENT_EXPRESSIONS 0
+#define ET_HAVE_GNU_STATEMENT_EXPRESSIONS 0
 #endif
 #endif // ifndef
+
+// Define size_t and ssize_t.
+#ifndef _WIN32
+#include <sys/types.h>
+#else
+#include <stddef.h>
+using ssize_t = ptrdiff_t;
+#endif
+
+// DEPRECATED: Use the non-underscore-prefixed versions instead.
+// TODO(T199005537): Remove these once all users have stopped using them.
+#define __ET_DEPRECATED ET_DEPRECATED
+#define __ET_FALLTHROUGH ET_FALLTHROUGH
+#define __ET_FUNCTION ET_FUNCTION
+#define __ET_HAVE_GNU_STATEMENT_EXPRESSIONS ET_HAVE_GNU_STATEMENT_EXPRESSIONS
+#define __ET_INLINE ET_INLINE
+#define __ET_LIKELY ET_LIKELY
+#define __ET_LINE ET_LINE
+#define __ET_NODISCARD ET_NODISCARD
+#define __ET_NOINLINE ET_NOINLINE
+#define __ET_NORETURN ET_NORETURN
+#define __ET_PRINTFLIKE ET_PRINTFLIKE
+#define __ET_SHORT_FILENAME ET_SHORT_FILENAME
+#define __ET_UNLIKELY ET_UNLIKELY
+#define __ET_UNREACHABLE ET_UNREACHABLE
+#define __ET_UNUSED ET_UNUSED
+#define __ET_WEAK ET_WEAK
diff --git a/runtime/platform/default/minimal.cpp b/runtime/platform/default/minimal.cpp
index ed6cac7392..8236f99318 100644
--- a/runtime/platform/default/minimal.cpp
+++ b/runtime/platform/default/minimal.cpp
@@ -15,14 +15,14 @@
 // This cpp file will provide weak implementations of the symbols declared in
 // Platform.h. Client users can strongly define any or all of the functions to
 // override them.
-#define ET_INTERNAL_PLATFORM_WEAKNESS __ET_WEAK
+#define ET_INTERNAL_PLATFORM_WEAKNESS ET_WEAK
 #include <executorch/runtime/platform/platform.h>
 
 #include <executorch/runtime/platform/compiler.h>
 
 void et_pal_init(void) {}
 
-__ET_NORETURN void et_pal_abort(void) {
+ET_NORETURN void et_pal_abort(void) {
   __builtin_trap();
 }
 
@@ -40,10 +40,16 @@ et_tick_ratio_t et_pal_ticks_to_ns_multiplier(void) {
 }
 
 void et_pal_emit_log_message(
-    __ET_UNUSED et_timestamp_t timestamp,
-    __ET_UNUSED et_pal_log_level_t level,
-    __ET_UNUSED const char* filename,
-    __ET_UNUSED const char* function,
-    __ET_UNUSED size_t line,
-    __ET_UNUSED const char* message,
-    __ET_UNUSED size_t length) {}
+    ET_UNUSED et_timestamp_t timestamp,
+    ET_UNUSED et_pal_log_level_t level,
+    ET_UNUSED const char* filename,
+    ET_UNUSED const char* function,
+    ET_UNUSED size_t line,
+    ET_UNUSED const char* message,
+    ET_UNUSED size_t length) {}
+
+void* et_pal_allocate(ET_UNUSED size_t size) {
+  return nullptr;
+}
+
+void et_pal_free(ET_UNUSED void* ptr) {}
diff --git a/runtime/platform/default/posix.cpp b/runtime/platform/default/posix.cpp
index f434043d83..aba504f53e 100644
--- a/runtime/platform/default/posix.cpp
+++ b/runtime/platform/default/posix.cpp
@@ -20,7 +20,7 @@
 // This cpp file will provide weak implementations of the symbols declared in
 // Platform.h. Client users can strongly define any or all of the functions to
 // override them.
-#define ET_INTERNAL_PLATFORM_WEAKNESS __ET_WEAK
+#define ET_INTERNAL_PLATFORM_WEAKNESS ET_WEAK
 #include <executorch/runtime/platform/platform.h>
 
 #include <chrono>
@@ -55,7 +55,7 @@
       fprintf(                                                      \
           ET_LOG_OUTPUT_FILE,                                       \
           "ExecuTorch PAL must be initialized before call to %s()", \
-          __ET_FUNCTION);                                           \
+          ET_FUNCTION);                                             \
       fflush(ET_LOG_OUTPUT_FILE);                                   \
       et_pal_abort();                                               \
     }                                                               \
@@ -88,7 +88,7 @@ void et_pal_init(void) {
  * Immediately abort execution, setting the device into an error state, if
  * available.
  */
-__ET_NORETURN void et_pal_abort(void) {
+ET_NORETURN void et_pal_abort(void) {
   std::abort();
 }
 
@@ -134,10 +134,10 @@ void et_pal_emit_log_message(
     et_timestamp_t timestamp,
     et_pal_log_level_t level,
     const char* filename,
-    __ET_UNUSED const char* function,
+    ET_UNUSED const char* function,
     size_t line,
     const char* message,
-    __ET_UNUSED size_t length) {
+    ET_UNUSED size_t length) {
   _ASSERT_PAL_INITIALIZED();
 
   // Not all platforms have ticks == nanoseconds, but this one does.
@@ -170,3 +170,26 @@ void et_pal_emit_log_message(
       message);
   fflush(ET_LOG_OUTPUT_FILE);
 }
+
+/**
+ * NOTE: Core runtime code must not call this directly. It may only be called by
+ * a MemoryAllocator wrapper.
+ *
+ * Allocates size bytes of memory via malloc.
+ *
+ * @param[in] size Number of bytes to allocate.
+ * @returns the allocated memory, or nullptr on failure. Must be freed using
+ *     et_pal_free().
+ */
+void* et_pal_allocate(size_t size) {
+  return malloc(size);
+}
+
+/**
+ * Frees memory allocated by et_pal_allocate().
+ *
+ * @param[in] ptr Pointer to memory to free. May be nullptr.
+ */
+void et_pal_free(void* ptr) {
+  free(ptr);
+}
diff --git a/runtime/platform/log.cpp b/runtime/platform/log.cpp
index 2c618e8fd9..c1ad6ddcc0 100644
--- a/runtime/platform/log.cpp
+++ b/runtime/platform/log.cpp
@@ -13,8 +13,8 @@
 #include <executorch/runtime/platform/compiler.h>
 #include <executorch/runtime/platform/platform.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 namespace internal {
 
 /**
@@ -22,7 +22,7 @@ namespace internal {
  *
  * @retval Monotonically non-decreasing timestamp in system ticks.
  */
-et_timestamp_t getLogTimestamp() {
+et_timestamp_t get_log_timestamp() {
   return et_pal_current_ticks();
 }
 
@@ -73,10 +73,10 @@ static_assert(
  * @param[in] args Variable argument list.
  */
 void vlogf(
-    __ET_UNUSED LogLevel level,
+    ET_UNUSED LogLevel level,
     et_timestamp_t timestamp,
     const char* filename,
-    __ET_UNUSED const char* function,
+    ET_UNUSED const char* function,
     size_t line,
     const char* format,
     va_list args) {
@@ -104,5 +104,5 @@ void vlogf(
 }
 
 } // namespace internal
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
diff --git a/runtime/platform/log.h b/runtime/platform/log.h
index f6b986d6bf..2b1e791b06 100644
--- a/runtime/platform/log.h
+++ b/runtime/platform/log.h
@@ -33,8 +33,8 @@
 #define ET_LOG_ENABLED 1
 #endif // !defined(ET_LOG_ENABLED)
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * Severity level of a log message. Must be ordered from lowest to highest
@@ -79,7 +79,7 @@ namespace internal {
  *
  * @retval Monotonically non-decreasing timestamp in system ticks.
  */
-et_timestamp_t getLogTimestamp();
+et_timestamp_t get_log_timestamp();
 
 /**
  * Log a string message.
@@ -94,7 +94,7 @@ et_timestamp_t getLogTimestamp();
  * @param[in] format Format string.
  * @param[in] args Variable argument list.
  */
-__ET_PRINTFLIKE(6, 0)
+ET_PRINTFLIKE(6, 0)
 void vlogf(
     LogLevel level,
     et_timestamp_t timestamp,
@@ -116,7 +116,7 @@ void vlogf(
  * @param[in] line Source file line of the caller.
  * @param[in] format Format string.
  */
-__ET_PRINTFLIKE(6, 7)
+ET_PRINTFLIKE(6, 7)
 inline void logf(
     LogLevel level,
     et_timestamp_t timestamp,
@@ -135,6 +135,14 @@ inline void logf(
 
 } // namespace internal
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::LogLevel;
 } // namespace executor
 } // namespace torch
 
@@ -146,21 +154,23 @@ inline void logf(
  * @param[in] _level Log severity level.
  * @param[in] _format Log message format string.
  */
-#define ET_LOG(_level, _format, ...)                                          \
-  ({                                                                          \
-    const auto _log_level = torch::executor::LogLevel::_level;                \
-    if (static_cast<uint32_t>(_log_level) >=                                  \
-        static_cast<uint32_t>(torch::executor::LogLevel::ET_MIN_LOG_LEVEL)) { \
-      const auto _timestamp = torch::executor::internal::getLogTimestamp();   \
-      torch::executor::internal::logf(                                        \
-          _log_level,                                                         \
-          _timestamp,                                                         \
-          __ET_SHORT_FILENAME,                                                \
-          __ET_FUNCTION,                                                      \
-          __ET_LINE,                                                          \
-          _format,                                                            \
-          ##__VA_ARGS__);                                                     \
-    }                                                                         \
+#define ET_LOG(_level, _format, ...)                                 \
+  ({                                                                 \
+    const auto _log_level = ::executorch::runtime::LogLevel::_level; \
+    if (static_cast<uint32_t>(_log_level) >=                         \
+        static_cast<uint32_t>(                                       \
+            ::executorch::runtime::LogLevel::ET_MIN_LOG_LEVEL)) {    \
+      const auto _timestamp =                                        \
+          ::executorch::runtime::internal::get_log_timestamp();      \
+      ::executorch::runtime::internal::logf(                         \
+          _log_level,                                                \
+          _timestamp,                                                \
+          ET_SHORT_FILENAME,                                         \
+          ET_FUNCTION,                                               \
+          ET_LINE,                                                   \
+          _format,                                                   \
+          ##__VA_ARGS__);                                            \
+    }                                                                \
   })
 
 #else // ET_LOG_ENABLED
diff --git a/runtime/platform/platform.h b/runtime/platform/platform.h
index 1f1b3b4c17..03cdef8eb2 100644
--- a/runtime/platform/platform.h
+++ b/runtime/platform/platform.h
@@ -58,7 +58,7 @@ void et_pal_init(void) ET_INTERNAL_PLATFORM_WEAKNESS;
  * Immediately abort execution, setting the device into an error state, if
  * available.
  */
-__ET_NORETURN void et_pal_abort(void) ET_INTERNAL_PLATFORM_WEAKNESS;
+ET_NORETURN void et_pal_abort(void) ET_INTERNAL_PLATFORM_WEAKNESS;
 
 /**
  * Return a monotonically non-decreasing timestamp in system ticks.
@@ -73,9 +73,9 @@ et_timestamp_t et_pal_current_ticks(void) ET_INTERNAL_PLATFORM_WEAKNESS;
  * numerator and then divide by the denominator:
  *   nanoseconds = ticks * numerator / denominator
  *
- * The utility method torch::executor::ticks_to_ns(et_timestamp_t) can also
- * be used to perform the conversion for a given tick count.
- * It is defined in torch/executor/runtime/platform/clock.h.
+ * The utility method executorch::runtime::ticks_to_ns(et_timestamp_t) can also
+ * be used to perform the conversion for a given tick count. It is defined in
+ * torch/executor/runtime/platform/clock.h.
  *
  * @retval The ratio of nanoseconds to system ticks.
  */
@@ -115,4 +115,23 @@ void et_pal_emit_log_message(
     const char* message,
     size_t length) ET_INTERNAL_PLATFORM_WEAKNESS;
 
+/**
+ * NOTE: Core runtime code must not call this directly. It may only be called by
+ * a MemoryAllocator wrapper.
+ *
+ * Allocates size bytes of memory.
+ *
+ * @param[in] size Number of bytes to allocate.
+ * @returns the allocated memory, or nullptr on failure. Must be freed using
+ *     et_pal_free().
+ */
+void* et_pal_allocate(size_t size) ET_INTERNAL_PLATFORM_WEAKNESS;
+
+/**
+ * Frees memory allocated by et_pal_allocate().
+ *
+ * @param[in] ptr Pointer to memory to free. May be nullptr.
+ */
+void et_pal_free(void* ptr) ET_INTERNAL_PLATFORM_WEAKNESS;
+
 } // extern "C"
diff --git a/runtime/platform/profiler.cpp b/runtime/platform/profiler.cpp
index ac2e8e187b..2f514286aa 100644
--- a/runtime/platform/profiler.cpp
+++ b/runtime/platform/profiler.cpp
@@ -13,8 +13,8 @@
 #include <executorch/runtime/platform/profiler.h>
 #include <inttypes.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 namespace {
 static uint8_t prof_buf[prof_buf_size * MAX_PROFILE_BLOCKS];
@@ -191,5 +191,5 @@ ExecutorchProfiler::~ExecutorchProfiler() {
   end_profiling(prof_tok);
 }
 
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
diff --git a/runtime/platform/profiler.h b/runtime/platform/profiler.h
index 3358ca75df..07ffd9c349 100644
--- a/runtime/platform/profiler.h
+++ b/runtime/platform/profiler.h
@@ -12,8 +12,8 @@
 #include <stdlib.h>
 #include <string.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 // Version string used to check for compatibility with post-processing
 // tool
@@ -180,38 +180,71 @@ class ExecutorchProfilerInstructionScope {
   prof_state_t old_state_;
 };
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::begin_profiling;
+using ::executorch::runtime::dump_profile_stats;
+using ::executorch::runtime::end_profiling;
+using ::executorch::runtime::ExecutorchProfiler;
+using ::executorch::runtime::ExecutorchProfilerInstructionScope;
+using ::executorch::runtime::get_profile_tls_state;
+using ::executorch::runtime::mem_prof_event_t;
+using ::executorch::runtime::prof_allocator_t;
+using ::executorch::runtime::prof_buf_size;
+using ::executorch::runtime::prof_event_t;
+using ::executorch::runtime::prof_events_offset;
+using ::executorch::runtime::prof_header_offset;
+using ::executorch::runtime::prof_header_t;
+using ::executorch::runtime::prof_mem_alloc_events_offset;
+using ::executorch::runtime::prof_mem_alloc_info_offset;
+using ::executorch::runtime::prof_result_t;
+using ::executorch::runtime::prof_state_t;
+using ::executorch::runtime::profiler_init;
+using ::executorch::runtime::profiling_create_block;
+using ::executorch::runtime::reset_profile_stats;
+using ::executorch::runtime::set_profile_tls_state;
+using ::executorch::runtime::track_allocation;
+using ::executorch::runtime::track_allocator;
 } // namespace executor
 } // namespace torch
 
 #ifdef PROFILING_ENABLED
 
 #define EXECUTORCH_PROFILE_CREATE_BLOCK(name) \
-  torch::executor::profiling_create_block(name);
+  ::executorch::runtime::profiling_create_block(name);
 
 // Convenience macros to begin and end profiling. These can be inserted
 // anywhere as it'll be ensured that for the prod builds these will
 // essentially be noops.
-#define EXECUTORCH_BEGIN_PROF(name) torch::executor::begin_profiling(name);
+#define EXECUTORCH_BEGIN_PROF(name) \
+  ::executorch::runtime::begin_profiling(name);
 
-#define EXECUTORCH_END_PROF(token_id) torch::executor::end_profiling(token_id);
+#define EXECUTORCH_END_PROF(token_id) \
+  ::executorch::runtime::end_profiling(token_id);
 
 #define EXECUTORCH_SCOPE_PROF(name) \
-  torch::executor::ExecutorchProfiler profiler(name);
+  ::executorch::runtime::ExecutorchProfiler profiler(name);
 
 #define EXECUTORCH_PROFILE_INSTRUCTION_SCOPE(chain_idx, instruction_idx) \
-  torch::executor::ExecutorchProfilerInstructionScope                    \
+  ::executorch::runtime::ExecutorchProfilerInstructionScope              \
       __profiler_instruction_scope({chain_idx, instruction_idx});
 
 #define EXECUTORCH_DUMP_PROFILE_RESULTS(prof_result) \
-  torch::executor::dump_profile_stats(prof_result);
+  ::executorch::runtime::dump_profile_stats(prof_result);
 
 #define EXECUTORCH_RESET_PROFILE_RESULTS() \
-  torch::executor::reset_profile_stats();
+  ::executorch::runtime::reset_profile_stats();
 
-#define EXECUTORCH_TRACK_ALLOCATOR(name) torch::executor::track_allocator(name);
+#define EXECUTORCH_TRACK_ALLOCATOR(name) \
+  ::executorch::runtime::track_allocator(name);
 
 #define EXECUTORCH_TRACK_ALLOCATION(id, size) \
-  torch::executor::track_allocation(id, size);
+  ::executorch::runtime::track_allocation(id, size);
 
 #else
 
@@ -231,7 +264,7 @@ class ExecutorchProfilerInstructionScope {
   })
 
 #define EXECUTORCH_DUMP_PROFILE_RESULTS(prof_result_test) \
-  memset(prof_result_test, 0, sizeof(torch::executor::prof_result_t));
+  memset(prof_result_test, 0, sizeof(::executorch::runtime::prof_result_t));
 
 #define EXECUTORCH_RESET_PROFILE_RESULTS() \
   {}
diff --git a/runtime/platform/runtime.cpp b/runtime/platform/runtime.cpp
index ffc3a9171d..2ccb41f21a 100644
--- a/runtime/platform/runtime.cpp
+++ b/runtime/platform/runtime.cpp
@@ -11,8 +11,8 @@
 
 #include <executorch/runtime/platform/platform.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * Initialize the ExecuTorch global runtime.
@@ -22,5 +22,5 @@ void runtime_init() {
   EXECUTORCH_PROFILE_CREATE_BLOCK("default");
 }
 
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
diff --git a/runtime/platform/runtime.h b/runtime/platform/runtime.h
index d260be8d38..375ae7959a 100644
--- a/runtime/platform/runtime.h
+++ b/runtime/platform/runtime.h
@@ -15,13 +15,21 @@
 
 #include <executorch/runtime/platform/compiler.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * Initialize the ExecuTorch global runtime.
  */
 void runtime_init();
 
+} // namespace runtime
+} // namespace executorch
+
+namespace torch {
+namespace executor {
+// TODO(T197294990): Remove these deprecated aliases once all users have moved
+// to the new `::executorch` namespaces.
+using ::executorch::runtime::runtime_init;
 } // namespace executor
 } // namespace torch
diff --git a/runtime/platform/test/clock_test.cpp b/runtime/platform/test/clock_test.cpp
index f319d23022..396a4a4c85 100644
--- a/runtime/platform/test/clock_test.cpp
+++ b/runtime/platform/test/clock_test.cpp
@@ -28,10 +28,10 @@ TEST(ClockTest, ConvertTicksToNsSanity) {
   InterceptWith iw(spy);
 
   spy.tick_ns_multiplier = {3, 2};
-  auto ns = torch::executor::ticks_to_ns(10);
+  auto ns = executorch::runtime::ticks_to_ns(10);
   ASSERT_EQ(15, ns); // 10 ticks * 3/2 = 15 ns
 
   spy.tick_ns_multiplier = {2, 7};
-  ns = torch::executor::ticks_to_ns(14);
+  ns = executorch::runtime::ticks_to_ns(14);
   ASSERT_EQ(4, ns); // 14 ticks * 2/7 = 4 ns
 }
diff --git a/runtime/platform/test/executor_pal_override_test.cpp b/runtime/platform/test/executor_pal_override_test.cpp
index 60a9424e67..9bc500e652 100644
--- a/runtime/platform/test/executor_pal_override_test.cpp
+++ b/runtime/platform/test/executor_pal_override_test.cpp
@@ -14,7 +14,7 @@
 #include <gtest/gtest.h>
 
 using namespace ::testing;
-using torch::executor::LogLevel;
+using executorch::runtime::LogLevel;
 
 class PalSpy : public PlatformIntercept {
  public:
@@ -53,12 +53,29 @@ class PalSpy : public PlatformIntercept {
     last_log_message_args.length = length;
   }
 
+  void* allocate(size_t size) override {
+    ++allocate_call_count;
+    last_allocated_size = size;
+    last_allocated_ptr = (void*)0x1234;
+    return nullptr;
+  }
+
+  void free(void* ptr) override {
+    ++free_call_count;
+    last_freed_ptr = ptr;
+  }
+
   virtual ~PalSpy() = default;
 
   size_t init_call_count = 0;
   size_t current_ticks_call_count = 0;
   size_t emit_log_message_call_count = 0;
   et_tick_ratio_t tick_ns_multiplier = {1, 1};
+  size_t allocate_call_count = 0;
+  size_t free_call_count = 0;
+  size_t last_allocated_size = 0;
+  void* last_allocated_ptr = nullptr;
+  void* last_freed_ptr = nullptr;
 
   /// The args that were passed to the most recent call to emit_log_message().
   struct {
@@ -75,7 +92,8 @@ class PalSpy : public PlatformIntercept {
 // Demonstrate what would happen if we didn't intercept the PAL calls.
 TEST(ExecutorPalOverrideTest, DiesIfNotIntercepted) {
   ET_EXPECT_DEATH(
-      torch::executor::runtime_init(), "et_pal_init call was not intercepted");
+      executorch::runtime::runtime_init(),
+      "et_pal_init call was not intercepted");
 }
 
 TEST(ExecutorPalOverrideTest, InitIsRegistered) {
@@ -83,7 +101,7 @@ TEST(ExecutorPalOverrideTest, InitIsRegistered) {
   InterceptWith iw(spy);
 
   EXPECT_EQ(spy.init_call_count, 0);
-  torch::executor::runtime_init();
+  executorch::runtime::runtime_init();
   EXPECT_EQ(spy.init_call_count, 1);
 }
 
@@ -157,4 +175,33 @@ TEST(ExecutorPalOverrideTest, TickToNsMultiplier) {
   EXPECT_EQ(et_pal_ticks_to_ns_multiplier().denominator, 1);
 }
 
+TEST(ExecutorPalOverrideTest, AllocateSmokeTest) {
+  PalSpy spy;
+  InterceptWith iw(spy);
+
+  // Validate that et_pal_allocate is overridden.
+  EXPECT_EQ(spy.allocate_call_count, 0);
+  EXPECT_EQ(spy.last_allocated_ptr, nullptr);
+  et_pal_allocate(4);
+  EXPECT_EQ(spy.allocate_call_count, 1);
+  EXPECT_EQ(spy.last_allocated_size, 4);
+  EXPECT_EQ(spy.last_allocated_ptr, (void*)0x1234);
+}
+
+TEST(ExecutorPalOverrideTest, FreeSmokeTest) {
+  PalSpy spy;
+  InterceptWith iw(spy);
+
+  et_pal_allocate(4);
+  EXPECT_EQ(spy.last_allocated_size, 4);
+  EXPECT_EQ(spy.last_allocated_ptr, (void*)0x1234);
+
+  // Validate that et_pal_free is overridden.
+  EXPECT_EQ(spy.free_call_count, 0);
+  EXPECT_EQ(spy.last_freed_ptr, nullptr);
+  et_pal_free(spy.last_allocated_ptr);
+  EXPECT_EQ(spy.free_call_count, 1);
+  EXPECT_EQ(spy.last_freed_ptr, (void*)0x1234);
+}
+
 #endif
diff --git a/runtime/platform/test/logging_test.cpp b/runtime/platform/test/logging_test.cpp
index 335d4621ad..d44cd2d5e7 100644
--- a/runtime/platform/test/logging_test.cpp
+++ b/runtime/platform/test/logging_test.cpp
@@ -11,8 +11,7 @@
 #include <executorch/runtime/platform/log.h>
 #include <executorch/runtime/platform/runtime.h>
 
-namespace torch {
-namespace executor {
+using namespace executorch::runtime;
 
 class LoggingTest : public ::testing::Test {
  public:
@@ -32,6 +31,3 @@ TEST_F(LoggingTest, LogLevels) {
 TEST_F(LoggingTest, LogFormatting) {
   ET_LOG(Info, "Sample log with integer: %u", 100);
 }
-
-} // namespace executor
-} // namespace torch
diff --git a/runtime/platform/test/stub_platform.cpp b/runtime/platform/test/stub_platform.cpp
index 72dfb1c7c6..8cee404e4e 100644
--- a/runtime/platform/test/stub_platform.cpp
+++ b/runtime/platform/test/stub_platform.cpp
@@ -28,13 +28,13 @@ void InterceptWith::install(PlatformIntercept* pi) {
 }
 
 /// Prints a message and aborts if an intercept is not installed.
-#define ASSERT_INTERCEPT_INSTALLED()                                   \
-  ({                                                                   \
-    if (platform_intercept == nullptr) {                               \
-      fprintf(stderr, "%s call was not intercepted\n", __ET_FUNCTION); \
-      fflush(stderr);                                                  \
-      __builtin_trap();                                                \
-    }                                                                  \
+#define ASSERT_INTERCEPT_INSTALLED()                                 \
+  ({                                                                 \
+    if (platform_intercept == nullptr) {                             \
+      fprintf(stderr, "%s call was not intercepted\n", ET_FUNCTION); \
+      fflush(stderr);                                                \
+      __builtin_trap();                                              \
+    }                                                                \
   })
 
 extern "C" {
@@ -44,7 +44,7 @@ void et_pal_init(void) {
   platform_intercept->init();
 }
 
-__ET_NORETURN void et_pal_abort(void) {
+ET_NORETURN void et_pal_abort(void) {
   ASSERT_INTERCEPT_INSTALLED();
   // We can't properly intercept this since it's marked NORETURN.
   fprintf(stderr, "StubPlatform et_pal_abort called\n");
@@ -66,15 +66,25 @@ void et_pal_emit_log_message(
     et_timestamp_t timestamp,
     et_pal_log_level_t level,
     const char* filename,
-    __ET_UNUSED const char* function,
+    ET_UNUSED const char* function,
     size_t line,
     const char* message,
-    __ET_UNUSED size_t length) {
+    ET_UNUSED size_t length) {
   ASSERT_INTERCEPT_INSTALLED();
   platform_intercept->emit_log_message(
       timestamp, level, filename, function, line, message, length);
 }
 
+void* et_pal_allocate(size_t size) {
+  ASSERT_INTERCEPT_INSTALLED();
+  return platform_intercept->allocate(size);
+}
+
+void et_pal_free(void* ptr) {
+  ASSERT_INTERCEPT_INSTALLED();
+  platform_intercept->free(ptr);
+}
+
 } // extern "C"
 
 #include <gtest/gtest.h>
diff --git a/runtime/platform/test/stub_platform.h b/runtime/platform/test/stub_platform.h
index b45f4f41e0..de5599b53b 100644
--- a/runtime/platform/test/stub_platform.h
+++ b/runtime/platform/test/stub_platform.h
@@ -37,13 +37,19 @@ class PlatformIntercept {
 
   /// Called when et_pal_emit_log_message() is called.
   virtual void emit_log_message(
-      __ET_UNUSED et_timestamp_t timestamp,
-      __ET_UNUSED et_pal_log_level_t level,
-      __ET_UNUSED const char* filename,
-      __ET_UNUSED const char* function,
-      __ET_UNUSED size_t line,
-      __ET_UNUSED const char* message,
-      __ET_UNUSED size_t length) {}
+      ET_UNUSED et_timestamp_t timestamp,
+      ET_UNUSED et_pal_log_level_t level,
+      ET_UNUSED const char* filename,
+      ET_UNUSED const char* function,
+      ET_UNUSED size_t line,
+      ET_UNUSED const char* message,
+      ET_UNUSED size_t length) {}
+
+  virtual void* allocate(ET_UNUSED size_t size) {
+    return nullptr;
+  }
+
+  virtual void free(ET_UNUSED void* ptr) {}
 
   virtual ~PlatformIntercept() = default;
 };
diff --git a/schema/CMakeLists.txt b/schema/CMakeLists.txt
index a69f751bf2..5a4013f43e 100644
--- a/schema/CMakeLists.txt
+++ b/schema/CMakeLists.txt
@@ -49,7 +49,8 @@ function(generate_program_schema _schema_srcs _schema_name)
   # and some users need an alignment larger than the default, which is typically
   # 32.
   target_compile_definitions(
-    ${_schema_name} INTERFACE FLATBUFFERS_MAX_ALIGNMENT=1024)
+    ${_schema_name} INTERFACE FLATBUFFERS_MAX_ALIGNMENT=1024
+  )
 
   target_include_directories(
     ${_schema_name}
diff --git a/schema/extended_header.cpp b/schema/extended_header.cpp
index 258cc60020..fdc463207b 100644
--- a/schema/extended_header.cpp
+++ b/schema/extended_header.cpp
@@ -16,8 +16,8 @@
 
 #pragma clang diagnostic ignored "-Wdeprecated"
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 namespace {
 
@@ -96,5 +96,5 @@ uint64_t GetUInt64LE(const uint8_t* data) {
 // Define storage for the static.
 constexpr char ExtendedHeader::kMagic[kMagicSize];
 
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
diff --git a/schema/extended_header.h b/schema/extended_header.h
index 11c6d8b21e..e6fe578368 100644
--- a/schema/extended_header.h
+++ b/schema/extended_header.h
@@ -10,8 +10,8 @@
 
 #include <executorch/runtime/core/result.h>
 
-namespace torch {
-namespace executor {
+namespace executorch {
+namespace runtime {
 
 /**
  * An extended, ExecuTorch-specific header that may be embedded in the
@@ -72,5 +72,5 @@ struct ExtendedHeader {
   uint64_t segment_base_offset;
 };
 
-} // namespace executor
-} // namespace torch
+} // namespace runtime
+} // namespace executorch
diff --git a/schema/program.fbs b/schema/program.fbs
index df585ec03f..e3c7597fcd 100644
--- a/schema/program.fbs
+++ b/schema/program.fbs
@@ -53,6 +53,20 @@ enum TensorShapeDynamism : byte {
   DYNAMIC_UNBOUND = 2,
 }
 
+
+// Table to put additional information about tensors in that is not applicable
+// to the vast majority of tensors in the vast majority of programs.
+table ExtraTensorInfo {
+  // [Optional] Specifies the SubsegmentOffsets in
+  //  program.mutable_data_segments that specifies where the data is located in.
+  //  If not present and the data is located in a segment, then the data is in
+  //  the first index.
+  mutable_data_segments_idx:uint64;
+
+  // [Optional] The unique name of the tensor. e.g. 'mod.linear.weight'
+  fully_qualified_name:string;
+}
+
 table Tensor {
   scalar_type:ScalarType;
 
@@ -63,26 +77,47 @@ table Tensor {
 
   sizes:[int];
 
-  // Specifies in what order the dimensions are laid out in memory (from outer to inner).
-  // For example, given a rank 3 Tensor of size (3, 5, 2). If we name dimensions: [row, column, batch], then a dim_order of:
-  // (2, 0, 1) represents a [batch, row, column] ordering where "column" is the innermost dimension, then comes "row", and the outermost dimension is "batch".
-  // (0, 2, 1) represents a [row, batch, column] ordering where "column" is the innermost dimension, then comes "batch", and the outermost dimension is "row".
+  // Specifies in what order the dimensions are laid out in memory (from outer
+  // to inner).
+  //
+  // For example, given a rank 3 Tensor of size (3, 5, 2). If we name
+  // dimensions: [row, column, batch], then a dim_order of:
+  // - (2, 0, 1) represents a [batch, row, column] ordering where "column" is
+  //   the innermost dimension, then comes "row", and the outermost dimension is
+  //   "batch".
+  // - (0, 2, 1) represents a [row, batch, column] ordering where "column" is
+  //   the innermost dimension, then comes "batch", and the outermost dimension
+  //   is "row".
   dim_order:[ubyte];
 
   // out of scope M1
   requires_grad:bool;
 
-  // Overall, a Tensor is either constant or non-constant, except we differentiate 2 special
-  // variants of non-constant Tensor ("input" and control-flow "placeholder") as a special
-  // optimization to avoid holding unnecessary AllocationDetails.
+  // Overall, a Tensor is either constant or mutable. At method load time
+  //  constant tensors receive a dataptr into the serialized program. Mutable
+  //  tensors can either receive a pointer from the heirarchical allocator or a
+  //  nullptr if they will receive a data pointer at execution time (inputs
+  //  and control flow placeholders can be like this). Mutable tensors may or
+  //  may not also have an initial value in the serialized program.
+  //
   // In summary:
-  //   constant_buffer_idx > 0, allocation_info = Null: Tensor is a constant
-  //   constant_buffer_idx = 0, allocation_info = Non Null: Tensor is a non-constant.
-  //   constant_buffer_idx = 0, allocation_info = Null: Tensor is a non-constant
-  //     that will receive a dataptr at input time or during execution.
+  //   data_buffer_idx > 0, allocation_info = Null: Tensor is a constant.
+  //   data_buffer_idx = 0, allocation_info = Non Null: Tensor is mutable and
+  //     will receive a dataptr at method load time.
+  //   data_buffer_idx = 0, allocation_info = Null: Tensor is mutable and
+  //     will receive a dataptr at input time or during execution.
+  //   data_buffer_idx > 0, allocation_info = Non Null: Tensor is mutable and
+  //     will receive a dataptr at method load time, and has an initial state.
   //
-  // Index to the program's constant buffer table, value 0 is reserved to indicate non constant
-  constant_buffer_idx:uint;
+  // Tensor data is stored inline if program.constant_buffer is null. Otherwise
+  //  it is in a segment. If this tensor's allocation_info is null then the
+  //  tensor data location is specified by program.constant_segment. If the
+  //  allocation_info is non_null then the data is somewhere in
+  //  program.mutable_data_segments. If tensor_info is Null, then the data is
+  //  in program.mutable_data_segments[0] otherwise if tensor_info is non-null
+  //  then the mutable_data_segment index is specified by
+  //  tensor_info.mutable_data_segments_index.
+  data_buffer_idx:uint;
 
   // [Optional] preallocation details for non-constants (null otherwise).
   allocation_info:AllocationDetails;
@@ -102,7 +137,11 @@ table Tensor {
   //
   // 3. dynamism == DYNAMIC_UNBOUND: the stored sizes field can be ignored since
   //    shape is fully dynamic.
-  shape_dynamism: TensorShapeDynamism;
+  shape_dynamism:TensorShapeDynamism;
+
+  // [Optional] Additional information about the Tensor that is not applicable
+  // to most tensors.
+  extra_tensor_info:ExtraTensorInfo;
 }
 
 table Int {
@@ -276,9 +315,11 @@ table BackendDelegate {
   compile_specs: [CompileSpec];
 }
 
-// A sequence of blocking instructions to be executed in order. The abstraction is not currently leveraged,
-// all current programs are 1 chain. We are leaving chains as part of the program definition for future
-// use cases around graph level async where different threads will be represented as seperate chains.
+// A sequence of blocking instructions to be executed in order. The
+// abstraction is not currently leveraged, all current programs are 1 chain.
+// We are leaving chains as part of the program definition for future use cases
+// around graph level async where different threads will be represented as
+// seperate chains.
 table Chain {
   // Indices of the values that are (non-static) inputs into this Chain.
   inputs:[int];
@@ -388,6 +429,7 @@ table Program {
   // Each constant is assigned an index into the table which are each individually aligned.
   // 0 index is reserved to be pointed to by non-constant Tensors.
   // If this field is non-empty, constant_segment.offsets must be empty.
+  // DEPRECATED: After D61996249 on 2024-09-05, no new PTE files will use this field.
   constant_buffer:[Buffer];
 
   // List of delegate data. Pointed to by BackendDelegateDataReference.
@@ -401,7 +443,17 @@ table Program {
   // offset. If constant_segment.offsets field is non-empty, constant_buffer
   // must be empty. constant_segment.offsets[0] is reserved to be pointed to by
   // non-constant Tensors.
-  constant_segment: SubsegmentOffsets;
+  constant_segment:SubsegmentOffsets;
+
+  // [Optional] Describes the offsets into various segments for each mutable
+  // tensor. Only mutable tensors with a meaningful initial state are
+  // serialized here (for example weights that will be trained on-device as
+  // opposed to just layer activations). Seperate from the constant_segment to
+  // reduce peak memory usage by letting us read directly from the PTE file
+  // into the mutable tensor, as opposed to loading the .pte data into
+  // constant memory, copying it over, and then being unable to release the
+  // constant segment. No two elements should point to the same segment.
+  mutable_data_segments:[SubsegmentOffsets];
 }
 
 root_type Program;
diff --git a/schema/targets.bzl b/schema/targets.bzl
index 2c797baa16..40c6d8d5c8 100644
--- a/schema/targets.bzl
+++ b/schema/targets.bzl
@@ -57,7 +57,7 @@ def define_common_targets():
         name = INPUT_SCALAR_TYPE,
         visibility = [
             "//executorch/exir/_serialize/...",
-            "//executorch/sdk/etdump/...",
+            "//executorch/devtools/etdump/...",
         ],
     )
 
diff --git a/schema/test/extended_header_test.cpp b/schema/test/extended_header_test.cpp
index eec5a94e4a..6099d6762a 100644
--- a/schema/test/extended_header_test.cpp
+++ b/schema/test/extended_header_test.cpp
@@ -14,16 +14,16 @@
 #include <executorch/runtime/platform/runtime.h>
 
 using namespace ::testing;
-using torch::executor::Error;
-using torch::executor::ExtendedHeader;
-using torch::executor::Result;
+using executorch::runtime::Error;
+using executorch::runtime::ExtendedHeader;
+using executorch::runtime::Result;
 
 class ExtendedHeaderTest : public ::testing::Test {
  protected:
   void SetUp() override {
     // Since these tests cause ET_LOG to be called, the PAL must be initialized
     // first.
-    torch::executor::runtime_init();
+    executorch::runtime::runtime_init();
   }
 };
 
diff --git a/sdk/CMakeLists.txt b/sdk/CMakeLists.txt
deleted file mode 100644
index 75a200d90c..0000000000
--- a/sdk/CMakeLists.txt
+++ /dev/null
@@ -1,235 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-# Please this file formatted by running:
-# ~~~
-# cmake-format -i CMakeLists.txt
-# ~~~
-
-cmake_minimum_required(VERSION 3.19)
-
-set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
-
-if(NOT CMAKE_CXX_STANDARD)
-  set(CMAKE_CXX_STANDARD 17)
-endif()
-
-if(NOT FLATCC_EXECUTABLE)
-  set(FLATCC_EXECUTABLE flatcc)
-endif()
-
-# Source root directory for executorch.
-if(NOT EXECUTORCH_ROOT)
-  set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/..)
-endif()
-
-include(${EXECUTORCH_ROOT}/build/Utils.cmake)
-
-if(NOT PYTHON_EXECUTABLE)
-  resolve_python_executable()
-endif()
-
-if(NOT FLATC_EXECUTABLE)
-  set(FLATC_EXECUTABLE flatc)
-endif()
-
-# Paths to headers generated from the .fbs files. set(_etdump_schemas
-# etdump_schema_flatcc.fbs scalar_type.fbs)
-
-set(_etdump_schema_names "etdump_schema_flatcc.fbs" "scalar_type.fbs")
-set(_bundled_input_schema_names "bundled_program_schema.fbs" "scalar_type.fbs")
-
-foreach(schema_file ${_etdump_schema_names})
-  list(APPEND _etdump_schema__srcs
-       "${CMAKE_CURRENT_SOURCE_DIR}/etdump/${schema_file}"
-  )
-endforeach()
-
-foreach(schema_file ${_bundled_input_schema_names})
-  list(APPEND _bundled_program_schema__srcs
-       "${CMAKE_CURRENT_SOURCE_DIR}/bundled_program/schema/${schema_file}"
-  )
-endforeach()
-
-set(FLATCC_TEST
-    OFF
-    CACHE BOOL ""
-)
-set(FLATCC_REFLECTION
-    OFF
-    CACHE BOOL ""
-)
-set(_flatcc_source_dir ${CMAKE_CURRENT_SOURCE_DIR}/../third-party/flatcc)
-add_subdirectory(${_flatcc_source_dir} ${CMAKE_BINARY_DIR}/third-party/flatcc)
-
-# Fix for "relocation R_X86_64_32 against `.rodata' can not be used when making
-# a shared object; recompile with -fPIC" when building on some x86 linux
-# systems.
-set_property(TARGET flatccrt PROPERTY POSITION_INDEPENDENT_CODE ON)
-
-# Assume we are cross-compiling and the CMAKE_TOOLCHAIN_FILE is set
-include(ExternalProject)
-
-# The include directory that will contain the generated schema headers.
-set(_program_schema__include_dir "${CMAKE_BINARY_DIR}/sdk/include")
-set(_bundled_schema__include_dir "${CMAKE_BINARY_DIR}/sdk/bundled_program")
-
-# TODO(dbort): Only enable this when cross-compiling. It can cause build race
-# conditions (libflatcc.a errors) when enabled.
-option(EXECUTORCH_SEPARATE_FLATCC_HOST_PROJECT
-       "Whether to build the flatcc commandline tool as a separate project" ON
-)
-
-if(EXECUTORCH_SEPARATE_FLATCC_HOST_PROJECT)
-  # Add the host project. We build this separately so that we can generate
-  # headers on the host during the build, even if we're cross-compiling the
-  # flatcc runtime to a different architecture.
-
-  # lint_cmake: -readability/wonkycase
-  ExternalProject_Add(
-    flatcc_project
-    PREFIX ${CMAKE_BINARY_DIR}/_host_build
-    SOURCE_DIR ${_flatcc_source_dir}
-    BINARY_DIR ${CMAKE_BINARY_DIR}/_host_build
-    CMAKE_CACHE_ARGS
-      -DFLATCC_TEST:BOOL=OFF -DFLATCC_REFLECTION:BOOL=OFF
-      # See above comment about POSITION_INDEPENDENT_CODE.
-      -DCMAKE_POSITION_INDEPENDENT_CODE:BOOL=ON
-    INSTALL_COMMAND "" # Prevent the install step
-  )
-  set(_etdump_schema_gen_dep flatcc_project)
-else()
-  # If we're not cross-compiling, we can just use the plain commandline target.
-  set(_etdump_schema_gen_dep flatcc_cli)
-endif()
-
-set(_etdump_schema__outputs)
-foreach(fbs_file ${_etdump_schema_names})
-  string(REGEX REPLACE "[.]fbs$" "_reader.h" generated "${fbs_file}")
-  list(APPEND _etdump_schema__outputs
-       "${_program_schema__include_dir}/executorch/sdk/etdump/${generated}"
-  )
-  string(REGEX REPLACE "[.]fbs$" "_builder.h" generated "${fbs_file}")
-  list(APPEND _etdump_schema__outputs
-       "${_program_schema__include_dir}/executorch/sdk/etdump/${generated}"
-  )
-endforeach()
-
-# lint_cmake: -linelength
-set(_bundled_program_schema__outputs)
-foreach(fbs_file ${_bundled_input_schema_names})
-  string(REGEX REPLACE "[.]fbs$" "_generated.h" generated "${fbs_file}")
-  list(
-    APPEND
-    _bundled_program_schema__outputs
-    "${_bundled_schema__include_dir}/executorch/sdk/bundled_program/schema/${generated}"
-  )
-endforeach()
-
-add_library(etdump_schema INTERFACE ${_etdump_schema__outputs})
-add_library(
-  bundled_program_schema INTERFACE ${_bundled_program_schema__outputs}
-)
-
-# Ensure the host tool is built before the main project
-add_dependencies(etdump_schema flatcc_cli)
-
-file(MAKE_DIRECTORY ${_program_schema__include_dir}/executorch/sdk/etdump)
-file(MAKE_DIRECTORY
-     ${_program_schema__include_dir}/executorch/sdk/bundled_program
-)
-
-if(EXECUTORCH_SEPARATE_FLATCC_HOST_PROJECT)
-  # If we cross-compiling, we need to use the version of the commandline tool
-  # built for the host.
-  set(_etdump_schema_gen_dep flatcc_project)
-
-  # TODO(dbort): flatcc installs its files directly in its source directory
-  # instead of under CMAKE_BINARY_DIR, and it has no options to avoid doing
-  # this. We build flatcc twice in the executorch build: once to get the
-  # `flatcc` host commandline tool, and once to get the (potentially
-  # cross-compiled) target runtime library. The host build will put its outputs
-  # in the source tree, making the cross-compiling target build think that the
-  # outputs have already been built. It will then try to link against the
-  # host-architecture libraries, failing when cross-compiling. To work around
-  # this, delete the host outputs after running this command (which only runs
-  # when setting up the cmake files, not when actually building). This leaves
-  # room for the target build to put its own files in the source tree. We should
-  # try to remove this hack, ideally by submitting an upstream PR that adds an
-  # option to change the installation location.
-  set(_etdump_schema_cleanup_paths ${_flatcc_source_dir}/bin/*
-                                   ${_flatcc_source_dir}/lib/*
-  )
-else()
-  # If we're not cross-compiling we can use the plain commandline target, and we
-  # don't need to delete any files.
-  set(_etdump_schema_gen_dep flatcc_cli)
-  set(_etdump_schema_cleanup_paths "")
-endif()
-
-add_custom_command(
-  OUTPUT ${_etdump_schema__outputs}
-  COMMAND
-    # Note that the flatcc project actually writes its outputs into the source
-    # tree instead of under the binary directory, and there's no way to change
-    # that behavior.
-    ${_flatcc_source_dir}/bin/flatcc -cwr -o
-    ${_program_schema__include_dir}/executorch/sdk/etdump
-    ${_etdump_schema__srcs}
-  COMMAND rm -f ${_etdump_schema_cleanup_paths}
-  WORKING_DIRECTORY ${CMAKE_BINARY_DIR}/sdk
-  DEPENDS ${_etdump_schema_gen_dep}
-  COMMENT "Generating etdump headers"
-  VERBATIM
-)
-
-add_library(
-  etdump ${CMAKE_CURRENT_SOURCE_DIR}/etdump/etdump_flatcc.cpp
-         ${CMAKE_CURRENT_SOURCE_DIR}/etdump/emitter.cpp
-)
-
-target_link_libraries(
-  etdump
-  PUBLIC etdump_schema flatccrt
-  PRIVATE executorch
-)
-
-add_custom_command(
-  OUTPUT ${_bundled_program_schema__outputs}
-  COMMAND
-    ${FLATC_EXECUTABLE} --cpp --cpp-std c++11 --gen-mutable --scoped-enums -o
-    "${_bundled_schema__include_dir}/executorch/sdk/bundled_program/schema"
-    ${_bundled_program_schema__srcs}
-  WORKING_DIRECTORY ${CMAKE_BINARY_DIR}/sdk
-  DEPENDS ${FLATC_EXECUTABLE} ${_bundled_program_schema__srcs}
-  COMMENT "Generating bundled_program headers"
-  VERBATIM
-)
-
-# add_library(bundled_program INTERFACE ${_bundled_program_schema__outputs})
-add_library(
-  bundled_program
-  ${CMAKE_CURRENT_SOURCE_DIR}/bundled_program/bundled_program.cpp
-)
-target_link_libraries(bundled_program executorch bundled_program_schema)
-
-set_target_properties(bundled_program PROPERTIES LINKER_LANGUAGE CXX)
-target_include_directories(
-  bundled_program PUBLIC ${_bundled_schema__include_dir}
-                         ${EXECUTORCH_ROOT}/third-party/flatbuffers/include
-)
-
-target_include_directories(
-  etdump PUBLIC ${_program_schema__include_dir} ${_flatcc_source_dir}/include
-)
-
-# Install libraries
-install(
-  TARGETS bundled_program etdump flatccrt
-  DESTINATION ${CMAKE_BINARY_DIR}/lib
-  INCLUDES
-  DESTINATION ${_common_include_directories}
-)
diff --git a/sdk/TARGETS b/sdk/TARGETS
deleted file mode 100644
index 56d38a4ad3..0000000000
--- a/sdk/TARGETS
+++ /dev/null
@@ -1,13 +0,0 @@
-load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
-
-oncall("executorch")
-
-python_library(
-    name = "lib",
-    srcs = ["__init__.py"],
-    deps = [
-        "//executorch/sdk/bundled_program:core",
-        "//executorch/sdk/etrecord:etrecord",
-        "//executorch/sdk/inspector:lib",
-    ],
-)
diff --git a/sdk/__init__.py b/sdk/__init__.py
deleted file mode 100644
index 11134bf276..0000000000
--- a/sdk/__init__.py
+++ /dev/null
@@ -1,19 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-import executorch.sdk.inspector as inspector
-from executorch.sdk.bundled_program.core import BundledProgram
-from executorch.sdk.etrecord import ETRecord, generate_etrecord, parse_etrecord
-from executorch.sdk.inspector import Inspector
-
-__all__ = [
-    "ETRecord",
-    "Inspector",
-    "generate_etrecord",
-    "parse_etrecord",
-    "inspector",
-    "BundledProgram",
-]
diff --git a/sdk/bundled_program/TARGETS b/sdk/bundled_program/TARGETS
deleted file mode 100644
index c731606217..0000000000
--- a/sdk/bundled_program/TARGETS
+++ /dev/null
@@ -1,51 +0,0 @@
-load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
-load(":targets.bzl", "define_common_targets")
-
-oncall("executorch")
-
-define_common_targets()
-
-runtime.python_library(
-    name = "core",
-    srcs = [
-        "core.py",
-    ],
-    visibility = [
-        "//executorch/...",
-        "@EXECUTORCH_CLIENTS",
-    ],
-    deps = [
-        ":config",
-        ":version",
-        "//caffe2:torch",
-        "//executorch/exir:schema",
-        "//executorch/exir:tensor",
-        "//executorch/exir/_serialize:lib",
-        "//executorch/sdk/bundled_program/schema:bundled_program_schema_py",
-    ],
-)
-
-runtime.python_library(
-    name = "config",
-    srcs = [
-        "config.py",
-    ],
-    visibility = [
-        "//executorch/...",
-        "@EXECUTORCH_CLIENTS",
-    ],
-    deps = [
-        "fbsource//third-party/pypi/typing-extensions:typing-extensions",
-        "//caffe2:torch",
-    ],
-)
-
-runtime.python_library(
-    name = "version",
-    srcs = [
-        "version.py",
-    ],
-    visibility = [
-        "//executorch/sdk/...",
-    ],
-)
diff --git a/sdk/bundled_program/bundled_program.h b/sdk/bundled_program/bundled_program.h
deleted file mode 100644
index 51c846facd..0000000000
--- a/sdk/bundled_program/bundled_program.h
+++ /dev/null
@@ -1,93 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#pragma once
-
-#include <executorch/runtime/core/memory_allocator.h>
-#include <executorch/runtime/executor/method.h>
-
-namespace torch {
-namespace executor {
-namespace bundled_program {
-
-/**
- * An opaque pointer to a serialized bundled program.
- */
-using serialized_bundled_program = const void;
-
-/**
- * Load testset_idx-th bundled input of method_idx-th Method test in
- * bundled_program_ptr to given Method.
- *
- * @param[in] method The Method to verify.
- * @param[in] bundled_program_ptr The bundled program contains expected output.
- * @param[in] testset_idx  The index of input needs to be set into given Method.
- *
- * @returns Return Error::Ok if load successfully, or the error happens during
- * execution.
- */
-__ET_NODISCARD Error LoadBundledInput(
-    Method& method,
-    serialized_bundled_program* bundled_program_ptr,
-    size_t testset_idx);
-
-/**
- * Compare the Method's output with testset_idx-th bundled expected
- * output in method_idx-th Method test.
- *
- * @param[in] method The Method to extract outputs from.
- * @param[in] bundled_program_ptr The bundled program contains expected output.
- * @param[in] testset_idx  The index of expected output needs to be compared.
- * @param[in] rtol Relative tolerance used for data comparsion.
- * @param[in] atol Absolute tolerance used for data comparsion.
- *
- * @returns Return Error::Ok if two outputs match, or the error happens during
- * execution.
- */
-__ET_NODISCARD Error VerifyResultWithBundledExpectedOutput(
-    Method& method,
-    serialized_bundled_program* bundled_program_ptr,
-    size_t testset_idx,
-    double rtol = 1e-5,
-    double atol = 1e-8);
-
-/**
- * Finds the serialized ExecuTorch program data in the provided bundled program
- * file data.
- *
- * The returned buffer is appropriate for constructing a
- * torch::executor::Program.
- *
- * @param[in] file_data The contents of an ExecuTorch program or bundled program
- *                      file.
- * @param[in] file_data_len The length of file_data, in bytes.
- * @param[out] out_program_data The serialized Program data, if found.
- * @param[out] out_program_data_len The length of out_program_data, in bytes.
- *
- * @returns Error::Ok if the given file is bundled program, a program was found
- * in it, and out_program_data/out_program_data_len point to the data. Other
- * values on failure.
- */
-__ET_NODISCARD Error GetProgramData(
-    void* file_data,
-    size_t file_data_len,
-    const void** out_program_data,
-    size_t* out_program_data_len);
-
-/**
- * Checks whether the given file is a bundled program.
- *
- * @param[in] file_data The contents of the given file.
- *
- * @returns true if the given file is a bundled program, false otherwise
- */
-bool IsBundledProgram(void* file_data);
-
-} // namespace bundled_program
-} // namespace executor
-} // namespace torch
diff --git a/sdk/bundled_program/schema/TARGETS b/sdk/bundled_program/schema/TARGETS
deleted file mode 100644
index e9bd642069..0000000000
--- a/sdk/bundled_program/schema/TARGETS
+++ /dev/null
@@ -1,24 +0,0 @@
-# Any targets that should be shared between fbcode and xplat must be defined in
-# targets.bzl. This file can contain fbcode-only targets.
-
-load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
-load(":targets.bzl", "define_common_targets")
-
-oncall("executorch")
-
-define_common_targets()
-
-runtime.python_library(
-    name = "bundled_program_schema_py",
-    srcs = [
-        "__init__.py",
-        "bundled_program_schema.py",
-    ],
-    visibility = [
-        "//executorch/sdk/bundled_program/...",
-        "//executorch/sdk/etrecord/...",
-    ],
-    deps = [
-        "//executorch/exir:scalar_type",
-    ],
-)
diff --git a/sdk/bundled_program/schema/targets.bzl b/sdk/bundled_program/schema/targets.bzl
deleted file mode 100644
index a25d792c5a..0000000000
--- a/sdk/bundled_program/schema/targets.bzl
+++ /dev/null
@@ -1,83 +0,0 @@
-load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
-
-BUNLDED_STEM = "bundled_program_schema"
-SCALAR_TYPE_STEM = "scalar_type"
-
-INPUT_BUNDLED = BUNLDED_STEM + ".fbs"
-INPUT_SCALAR_TYPE = SCALAR_TYPE_STEM + ".fbs"
-
-OUTPUT_BUNDLED_HEADER = BUNLDED_STEM + "_generated.h"
-OUTPUT_SCALAR_TYPE_HEADER = SCALAR_TYPE_STEM + "_generated.h"
-
-BUNDLED_GEN_RULE_NAME = "generate_bundled_program"
-
-BUNDLED_LIBRARY_NAME = BUNLDED_STEM + "_fbs"
-
-def _generate_schema_header(rule_name, srcs, headers, default_header):
-    """Generate header file given flatbuffer schema
-    """
-    runtime.genrule(
-        name = rule_name,
-        srcs = srcs,
-        # We're only generating a single file, so it seems like we could use
-        # `out`, but `flatc` takes a directory as a parameter, not a single
-        # file. Use `outs` so that `${OUT}` is expanded as the containing
-        # directory instead of the file itself.
-        outs = {header: [header] for header in headers},
-        default_outs = [default_header],
-        cmd = " ".join([
-            "$(exe {})".format(runtime.external_dep_location("flatc")),
-            "--cpp",
-            "--cpp-std c++11",
-            "--gen-mutable",
-            "--scoped-enums",
-            "-o ${OUT}",
-            "${SRCS}",
-            # Let our infra know that the file was generated.
-            " ".join(["&& echo // @" + "generated >> ${OUT}/" + header for header in headers]),
-        ]),
-        visibility = [],  # Private
-    )
-
-def define_common_targets():
-    """Defines targets that should be shared between fbcode and xplat.
-
-    The directory containing this targets.bzl file should also contain both
-    TARGETS and BUCK files that call this function.
-    """
-
-    runtime.export_file(
-        name = INPUT_BUNDLED,
-        visibility = [
-            "//executorch/sdk/bundled_program/serialize/...",
-        ],
-    )
-
-    runtime.export_file(
-        name = INPUT_SCALAR_TYPE,
-        visibility = [
-            "//executorch/sdk/bundled_program/serialize/...",
-        ],
-    )
-
-    _generate_schema_header(
-        BUNDLED_GEN_RULE_NAME,
-        [INPUT_BUNDLED, INPUT_SCALAR_TYPE],
-        [OUTPUT_BUNDLED_HEADER, OUTPUT_SCALAR_TYPE_HEADER],
-        OUTPUT_BUNDLED_HEADER,
-    )
-
-    # Header-only library target with the generate bundled program schema header.
-    runtime.cxx_library(
-        name = BUNDLED_LIBRARY_NAME,
-        srcs = [],
-        visibility = [
-            "//executorch/sdk/bundled_program/...",
-            "//executorch/extension/pybindings/...",
-        ],
-        exported_headers = {
-            OUTPUT_BUNDLED_HEADER: ":{}[{}]".format(BUNDLED_GEN_RULE_NAME, OUTPUT_BUNDLED_HEADER),
-            OUTPUT_SCALAR_TYPE_HEADER: ":{}[{}]".format(BUNDLED_GEN_RULE_NAME, OUTPUT_SCALAR_TYPE_HEADER),
-        },
-        exported_external_deps = ["flatbuffers-api"],
-    )
diff --git a/sdk/bundled_program/serialize/TARGETS b/sdk/bundled_program/serialize/TARGETS
deleted file mode 100644
index 20abccd7fd..0000000000
--- a/sdk/bundled_program/serialize/TARGETS
+++ /dev/null
@@ -1,37 +0,0 @@
-load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
-
-oncall("executorch")
-
-# Use runtime.python_library instead of the one defined in python_library.bzl,
-# so we can have access to EXECUTORCH_CLIENTS list.
-runtime.python_library(
-    name = "lib",
-    srcs = [
-        "__init__.py",
-    ],
-    resources = {
-        "//executorch/sdk/bundled_program/schema:bundled_program_schema.fbs": "bundled_program_schema.fbs",
-        "//executorch/sdk/bundled_program/schema:scalar_type.fbs": "scalar_type.fbs",
-    },
-    # Currently serialization API should only be used in some dedicated targets,
-    # to avoid ODR violation when linking with another Flatbuffers library.
-    # Please ask before changing this.
-    visibility = [
-        "//executorch/bacends/...",
-        "//executorch/backends/xnnpack/test/...",
-        "//executorch/codegen/...",
-        "//executorch/examples/async_exec:emit_program_lib",
-        "//executorch/exir:lib",
-        "//executorch/extension/pybindings/test:test",
-        "//executorch/extension/pybindings/test:test-library",
-        "//executorch/profiler/...",
-        "//executorch/sdk/bundled_program/tests/...",
-        "//executorch/test/...",
-        "@EXECUTORCH_CLIENTS",
-    ],
-    deps = [
-        "fbsource//third-party/pypi/setuptools:setuptools",
-        "//executorch/exir/_serialize:lib",
-        "//executorch/sdk/bundled_program/schema:bundled_program_schema_py",
-    ],
-)
diff --git a/sdk/bundled_program/serialize/__init__.py b/sdk/bundled_program/serialize/__init__.py
deleted file mode 100644
index e0c75574c9..0000000000
--- a/sdk/bundled_program/serialize/__init__.py
+++ /dev/null
@@ -1,122 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-# pyre-strict
-
-# TODO(T138924864): Refactor to unify the serialization for bundled program and executorch program.
-
-import json
-import os
-import tempfile
-
-import executorch.sdk.bundled_program.schema as bp_schema
-
-# @manual=fbsource//third-party/pypi/setuptools:setuptools
-import pkg_resources
-
-from executorch.exir._serialize._dataclass import _DataclassEncoder, _json_to_dataclass
-from executorch.exir._serialize._flatbuffer import _flatc_compile, _flatc_decompile
-from executorch.sdk.bundled_program.core import BundledProgram
-
-# The prefix of schema files used for bundled program
-BUNDLED_PROGRAM_SCHEMA_NAME = "bundled_program_schema"
-SCALAR_TYPE_SCHEMA_NAME = "scalar_type"
-
-
-def write_schema(d: str, schema_name: str) -> None:
-    schema_path = os.path.join(d, "{}.fbs".format(schema_name))
-    with open(schema_path, "wb") as schema_file:
-        schema_file.write(
-            pkg_resources.resource_string(__name__, "{}.fbs".format(schema_name))
-        )
-
-
-def serialize_from_bundled_program_to_json(
-    bundled_program: bp_schema.BundledProgram,
-) -> str:
-    return json.dumps(bundled_program, cls=_DataclassEncoder)
-
-
-def deserialize_from_json_to_bundled_program(
-    program_json: bytes,
-) -> bp_schema.BundledProgram:
-    program_json = json.loads(program_json)
-    return _json_to_dataclass(program_json, bp_schema.BundledProgram)
-
-
-def convert_to_flatbuffer(program_json: str) -> bytes:
-    with tempfile.TemporaryDirectory() as d:
-        # load given and common schema
-        write_schema(d, BUNDLED_PROGRAM_SCHEMA_NAME)
-        write_schema(d, SCALAR_TYPE_SCHEMA_NAME)
-
-        schema_path = os.path.join(d, "{}.fbs".format(BUNDLED_PROGRAM_SCHEMA_NAME))
-        json_path = os.path.join(d, "{}.json".format(BUNDLED_PROGRAM_SCHEMA_NAME))
-        with open(json_path, "wb") as json_file:
-            json_file.write(program_json.encode("ascii"))
-        _flatc_compile(d, schema_path, json_path)
-        output_path = os.path.join(d, "{}.bpte".format(BUNDLED_PROGRAM_SCHEMA_NAME))
-        with open(output_path, "rb") as output_file:
-            return output_file.read()
-
-
-def convert_from_flatbuffer(program_flatbuffer: bytes) -> bytes:
-    with tempfile.TemporaryDirectory() as d:
-        write_schema(d, BUNDLED_PROGRAM_SCHEMA_NAME)
-        write_schema(d, SCALAR_TYPE_SCHEMA_NAME)
-
-        schema_path = os.path.join(d, "{}.fbs".format(BUNDLED_PROGRAM_SCHEMA_NAME))
-        bin_path = os.path.join(d, "schema.bin")
-        with open(bin_path, "wb") as bin_file:
-            bin_file.write(program_flatbuffer)
-        _flatc_decompile(d, schema_path, bin_path)
-        output_path = os.path.join(d, "schema.json")
-        with open(output_path, "rb") as output_file:
-            return output_file.read()
-
-
-# from bundled program to flatbuffer
-def serialize_from_bundled_program_to_flatbuffer(
-    bundled_program: BundledProgram,
-) -> bytes:
-    """
-    Serialize a BundledProgram into FlatBuffer binary format.
-
-    Args:
-        bundled_program (BundledProgram): The `BundledProgram` variable to be serialized.
-
-    Returns:
-        The serialized FlatBuffer binary data in bytes.
-    """
-
-    bundled_program_in_schema = bundled_program.serialize_to_schema()
-
-    return convert_to_flatbuffer(
-        serialize_from_bundled_program_to_json(bundled_program_in_schema)
-    )
-
-
-# From flatbuffer to bundled program in schema.
-# Please notice here the bundled program is the one in our schema (bp_schema.BundledProgram),
-# not the bundled program user interact with (core.bundled_program).
-# However there're two concerns for current design:
-# 1. the misalignment of serialization input and deserialization out, which may confuse our user.
-# 2. the mis-exposion of schema.bundled_program. all classes in schema should not directly
-#    interact with user, but the deserialization api returns one.
-# TODO(T170042248): Solve the above issues.
-def deserialize_from_flatbuffer_to_bundled_program(
-    flatbuffer: bytes,
-) -> bp_schema.BundledProgram:
-    """
-    Deserialize a FlatBuffer binary format into a BundledProgram.
-
-    Args:
-        flatbuffer (bytes): The FlatBuffer binary data in bytes.
-
-    Returns:
-        A `BundledProgram` instance.
-    """
-    return deserialize_from_json_to_bundled_program(convert_from_flatbuffer(flatbuffer))
diff --git a/sdk/bundled_program/serialize/test/TARGETS b/sdk/bundled_program/serialize/test/TARGETS
deleted file mode 100644
index 85f55c02f8..0000000000
--- a/sdk/bundled_program/serialize/test/TARGETS
+++ /dev/null
@@ -1,18 +0,0 @@
-# @noautodeps
-
-load("@fbcode_macros//build_defs:python_unittest.bzl", "python_unittest")
-
-oncall("executorch")
-
-python_unittest(
-    name = "serialize",
-    srcs = [
-        "test_serialize.py",
-    ],
-    deps = [
-        "//executorch/exir:print_program",
-        "//executorch/sdk/bundled_program:core",
-        "//executorch/sdk/bundled_program/serialize:lib",
-        "//executorch/sdk/bundled_program/util:test_util",
-    ],
-)
diff --git a/sdk/bundled_program/targets.bzl b/sdk/bundled_program/targets.bzl
deleted file mode 100644
index a3268dff2c..0000000000
--- a/sdk/bundled_program/targets.bzl
+++ /dev/null
@@ -1,28 +0,0 @@
-load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
-
-def define_common_targets():
-    """Defines targets that should be shared between fbcode and xplat.
-
-    The directory containing this targets.bzl file should also contain both
-    TARGETS and BUCK files that call this function.
-    """
-
-    for aten_mode in (True, False):
-        aten_suffix = ("_aten" if aten_mode else "")
-        runtime.cxx_library(
-            name = "runtime" + aten_suffix,
-            srcs = ["bundled_program.cpp"],
-            exported_headers = ["bundled_program.h"],
-            visibility = [
-                "//executorch/...",
-                "@EXECUTORCH_CLIENTS",
-            ],
-            deps = [
-                "//executorch/runtime/core/exec_aten/util:dim_order_util" + aten_suffix,
-                "//executorch/sdk/bundled_program/schema:bundled_program_schema_fbs",
-            ],
-            exported_deps = [
-                "//executorch/runtime/core:memory_allocator",
-                "//executorch/runtime/executor:program" + aten_suffix,
-            ],
-        )
diff --git a/sdk/bundled_program/test/TARGETS b/sdk/bundled_program/test/TARGETS
deleted file mode 100644
index caf69be60e..0000000000
--- a/sdk/bundled_program/test/TARGETS
+++ /dev/null
@@ -1,62 +0,0 @@
-# @noautodeps
-load("@fbcode_macros//build_defs:python_unittest.bzl", "python_unittest")
-
-oncall("executorch")
-
-python_unittest(
-    name = "bundle_data",
-    srcs = [
-        "test_bundle_data.py",
-    ],
-    deps = [
-        "//caffe2:torch",
-        "//executorch/exir/_serialize:lib",
-        "//executorch/sdk/bundled_program:config",
-        "//executorch/sdk/bundled_program:core",
-        "//executorch/sdk/bundled_program/schema:bundled_program_schema_py",
-        "//executorch/sdk/bundled_program/util:test_util",
-    ],
-)
-
-python_unittest(
-    name = "config",
-    srcs = [
-        "test_config.py",
-    ],
-    deps = [
-        "//caffe2:torch",
-        "//executorch/extension/pytree:pylib",
-        "//executorch/sdk/bundled_program:config",
-        "//executorch/sdk/bundled_program/util:test_util",
-    ],
-)
-
-python_unittest(
-    name = "end2end",
-    srcs = [
-        "test_end2end.py",
-    ],
-    deps = [
-        "//caffe2:torch",
-        "//executorch/exir:dynamic_shape",
-        "//executorch/exir:lib",
-        "//executorch/exir:memory",
-        "//executorch/exir:pass_manager",
-        "//executorch/exir:print_program",
-        "//executorch/exir:tensor",
-        "//executorch/exir/_serialize:lib",
-        "//executorch/exir/emit:lib",
-        "//executorch/exir/passes:lib",
-        "//executorch/exir/tests:control_flow_models",
-        "//executorch/exir/tests:dynamic_shape_models",
-        "//executorch/exir/tests:models",
-        "//executorch/exir/tests:transformer",
-        "//executorch/extension/pybindings:portable_lib",
-        "//executorch/extension/pytree:pybindings",
-        "//executorch/kernels/portable:custom_ops_generated_lib",
-        "//executorch/sdk/bundled_program:config",
-        "//executorch/sdk/bundled_program:core",
-        "//executorch/sdk/bundled_program/serialize:lib",
-        "//executorch/sdk/bundled_program/util:test_util",
-    ],
-)
diff --git a/sdk/bundled_program/util/TARGETS b/sdk/bundled_program/util/TARGETS
deleted file mode 100644
index 17d19dfb29..0000000000
--- a/sdk/bundled_program/util/TARGETS
+++ /dev/null
@@ -1,16 +0,0 @@
-load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
-
-oncall("executorch")
-
-python_library(
-    name = "test_util",
-    srcs = [
-        "test_util.py",
-    ],
-    visibility = ["//executorch/sdk/bundled_program/..."],
-    deps = [
-        "//caffe2:torch",
-        "//executorch/exir:lib",
-        "//executorch/sdk/bundled_program:config",
-    ],
-)
diff --git a/sdk/etdump/TARGETS b/sdk/etdump/TARGETS
deleted file mode 100644
index 22d07478cb..0000000000
--- a/sdk/etdump/TARGETS
+++ /dev/null
@@ -1,38 +0,0 @@
-load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
-load(":targets.bzl", "define_common_targets")
-
-oncall("executorch")
-
-define_common_targets()
-
-runtime.python_library(
-    name = "schema_flatcc",
-    srcs = [
-        "schema_flatcc.py",
-    ],
-    visibility = [
-        "//executorch/sdk/...",
-    ],
-    deps = [
-        "//executorch/exir:scalar_type",
-    ],
-)
-
-runtime.python_library(
-    name = "serialize",
-    srcs = [
-        "serialize.py",
-    ],
-    resources = {
-        "//executorch/schema:scalar_type.fbs": "scalar_type.fbs",
-        "//executorch/sdk/etdump:etdump_schema_flatcc.fbs": "etdump_schema_flatcc.fbs",
-    },
-    visibility = [
-        "//executorch/sdk/...",
-    ],
-    deps = [
-        "fbsource//third-party/pypi/setuptools:setuptools",
-        ":schema_flatcc",
-        "//executorch/exir/_serialize:lib",
-    ],
-)
diff --git a/sdk/etdump/emitter.cpp b/sdk/etdump/emitter.cpp
deleted file mode 100644
index 1b3cba9d19..0000000000
--- a/sdk/etdump/emitter.cpp
+++ /dev/null
@@ -1,183 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#include <stdio.h>
-#include <cstdint>
-
-#include "executorch/runtime/platform/assert.h"
-#include "executorch/sdk/etdump/emitter.h"
-
-namespace torch {
-namespace executor {
-
-static int _allocator_fn(
-    void* alloc_context,
-    flatcc_iovec_t* b,
-    size_t request,
-    int zero_fill,
-    int hint) {
-  void* p;
-  size_t n;
-
-  struct etdump_static_allocator* state =
-      (struct etdump_static_allocator*)alloc_context;
-
-  // This allocator doesn't support freeing memory.
-  if (request == 0) {
-    if (b->iov_base) {
-      b->iov_base = nullptr;
-      b->iov_len = 0;
-    }
-    return 0;
-  }
-
-  switch (hint) {
-    case flatcc_builder_alloc_ds:
-      n = 256;
-      break;
-    case flatcc_builder_alloc_ht:
-      /* Should be exact size, or space size is just wasted. */
-      n = request;
-      break;
-    case flatcc_builder_alloc_fs:
-      n = sizeof(__flatcc_builder_frame_t) * 8;
-      break;
-    case flatcc_builder_alloc_us:
-      n = 64;
-      break;
-    case flatcc_builder_alloc_vd:
-      n = 64;
-      break;
-    default:
-      /*
-       * We have many small structures - vs stack for tables with few
-       * elements, and few offset fields in patch log. No need to
-       * overallocate in case of busy small messages.
-       */
-      n = 32;
-      break;
-  }
-
-  while (n < request) {
-    n *= 2;
-  }
-
-  if (b->iov_base != nullptr) {
-    if (request > b->iov_len) {
-      // We don't support reallocating larger buffers.
-      if (((uintptr_t)b->iov_base + b->iov_len) ==
-          (uintptr_t)&state->data[state->allocated]) {
-        if ((state->allocated + n - b->iov_len) > state->data_size) {
-          return -1;
-        }
-        state->allocated += n - b->iov_len;
-      } else {
-        if ((state->allocated + n) > state->data_size) {
-          return -1;
-        }
-        memcpy((void*)&state->data[state->allocated], b->iov_base, b->iov_len);
-        b->iov_base = &state->data[state->allocated];
-        state->allocated += n;
-      }
-      if (zero_fill) {
-        memset((uint8_t*)b->iov_base + b->iov_len, 0, n - b->iov_len);
-      }
-      b->iov_len = n;
-    }
-
-    // Ignore request to resize buffers down.
-    return 0;
-  }
-
-  if ((state->allocated + n) > state->data_size) {
-    return -1;
-  }
-
-  p = &state->data[state->allocated];
-  state->allocated += n;
-
-  if (zero_fill) {
-    memset((void*)p, 0, n);
-  }
-
-  b->iov_base = p;
-  b->iov_len = n;
-
-  return 0;
-}
-
-// This emitter implementation emits to a fixed size buffer and will fail if it
-// runs out of room on either end.
-static int _emitter_fn(
-    void* emit_context,
-    const flatcc_iovec_t* iov,
-    int iov_count,
-    flatbuffers_soffset_t offset,
-    size_t len) {
-  struct etdump_static_allocator* E =
-      (struct etdump_static_allocator*)emit_context;
-  uint8_t* p;
-
-  if (offset < 0) {
-    if (len > E->front_left) {
-      return -1;
-    }
-    E->front_cursor -= len;
-    E->front_left -= len;
-    p = E->front_cursor;
-  } else {
-    ET_CHECK_MSG(
-        0, "Moving the back pointer is currently not supported in ETDump.");
-  }
-
-  while (iov_count--) {
-    memcpy(p, iov->iov_base, iov->iov_len);
-    p += iov->iov_len;
-    ++iov;
-  }
-
-  return 0;
-}
-
-/*******************************************************************************
- * Public Functions
- ******************************************************************************/
-
-int etdump_static_allocator_builder_init(
-    flatcc_builder_t* builder,
-    struct etdump_static_allocator* alloc) {
-  ET_CHECK(builder != nullptr);
-  ET_CHECK(alloc != nullptr);
-
-  // Ensure data size is multiple of 32 (minimum allocation size).
-  ET_CHECK((alloc->data_size & 0x1F) == 0);
-  // Ensure out_size is divisable by 2 to ensure front/back sizes are equal for
-  // emitter..
-  ET_CHECK((alloc->out_size & 0x1) == 0);
-
-  return flatcc_builder_custom_init(
-      builder, _emitter_fn, alloc, _allocator_fn, alloc);
-}
-
-void etdump_static_allocator_reset(struct etdump_static_allocator* alloc) {
-  ET_CHECK(alloc != nullptr);
-  alloc->allocated = 0;
-  size_t n = alloc->out_size / 2;
-  alloc->front_cursor = &alloc->data[alloc->data_size + n];
-  alloc->front_left = n;
-}
-
-int et_flatcc_custom_init(
-    flatcc_builder_t* builder,
-    struct etdump_static_allocator* alloc) {
-  return flatcc_builder_custom_init(
-      builder, _emitter_fn, alloc, _allocator_fn, alloc);
-}
-
-} // namespace executor
-} // namespace torch
diff --git a/sdk/etdump/emitter.h b/sdk/etdump/emitter.h
deleted file mode 100644
index 3910d3bd27..0000000000
--- a/sdk/etdump/emitter.h
+++ /dev/null
@@ -1,31 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#include <stdint.h>
-#include <stdlib.h>
-
-#include <executorch/sdk/etdump/etdump_flatcc.h>
-#include <flatcc/flatcc_builder.h>
-
-#pragma once
-
-namespace torch {
-namespace executor {
-
-int et_flatcc_custom_init(
-    flatcc_builder_t* builder,
-    struct etdump_static_allocator* alloc);
-
-int etdump_static_allocator_builder_init(
-    flatcc_builder_t* builder,
-    struct etdump_static_allocator* alloc);
-
-void etdump_static_allocator_reset(struct etdump_static_allocator* alloc);
-
-} // namespace executor
-} // namespace torch
diff --git a/sdk/etdump/etdump_flatcc.cpp b/sdk/etdump/etdump_flatcc.cpp
deleted file mode 100644
index dab1443b55..0000000000
--- a/sdk/etdump/etdump_flatcc.cpp
+++ /dev/null
@@ -1,623 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#include "executorch/sdk/etdump/etdump_flatcc.h"
-#include <executorch/sdk/etdump/etdump_schema_flatcc_builder.h>
-#include <executorch/sdk/etdump/etdump_schema_flatcc_reader.h>
-#include <flatcc/flatcc_types.h>
-#include <stdio.h>
-#include <string.h>
-#include "executorch/runtime/core/exec_aten/exec_aten.h"
-#include "executorch/runtime/core/exec_aten/util/scalar_type_util.h"
-#include "executorch/runtime/platform/assert.h"
-#include "executorch/sdk/etdump/emitter.h"
-
-namespace torch {
-namespace executor {
-
-namespace {
-
-executorch_flatbuffer_ScalarType_enum_t get_flatbuffer_scalar_type(
-    exec_aten::ScalarType tensor_scalar_type) {
-  switch (tensor_scalar_type) {
-    case exec_aten::ScalarType::Byte:
-      return executorch_flatbuffer_ScalarType_BYTE;
-    case exec_aten::ScalarType::Char:
-      return executorch_flatbuffer_ScalarType_CHAR;
-    case exec_aten::ScalarType::Short:
-      return executorch_flatbuffer_ScalarType_SHORT;
-    case exec_aten::ScalarType::Float:
-      return executorch_flatbuffer_ScalarType_FLOAT;
-    case exec_aten::ScalarType::Int:
-      return executorch_flatbuffer_ScalarType_INT;
-    case exec_aten::ScalarType::Long:
-      return executorch_flatbuffer_ScalarType_LONG;
-    case exec_aten::ScalarType::Double:
-      return executorch_flatbuffer_ScalarType_DOUBLE;
-    case exec_aten::ScalarType::Bool:
-      return executorch_flatbuffer_ScalarType_BOOL;
-    default:
-      ET_CHECK_MSG(
-          0,
-          "This ScalarType = %hhd is not yet supported in ETDump",
-          static_cast<char>(tensor_scalar_type));
-  }
-}
-
-etdump_Tensor_ref_t add_tensor_entry(
-    flatcc_builder_t* builder,
-    const exec_aten::Tensor& tensor,
-    long offset) {
-  etdump_Tensor_start(builder);
-
-  etdump_Tensor_scalar_type_add(
-      builder, get_flatbuffer_scalar_type(tensor.scalar_type()));
-  etdump_Tensor_sizes_start(builder);
-
-  for (auto dim : tensor.sizes()) {
-    int64_t cast_dim = static_cast<int64_t>(dim);
-    etdump_Tensor_sizes_push(builder, &cast_dim);
-  }
-  etdump_Tensor_sizes_end(builder);
-
-  etdump_Tensor_strides_start(builder);
-  for (auto dim : tensor.strides()) {
-    int64_t cast_dim = static_cast<int64_t>(dim);
-    etdump_Tensor_strides_push(builder, &cast_dim);
-  }
-  etdump_Tensor_strides_end(builder);
-  etdump_Tensor_offset_add(builder, offset);
-
-  return etdump_Tensor_end(builder);
-}
-
-static uint8_t* alignPointer(void* ptr, size_t alignment) {
-  intptr_t addr = reinterpret_cast<intptr_t>(ptr);
-  if ((addr & (alignment - 1)) == 0) {
-    // Already aligned.
-    return reinterpret_cast<uint8_t*>(ptr);
-  }
-  addr = (addr | (alignment - 1)) + 1;
-  return reinterpret_cast<uint8_t*>(addr);
-}
-
-} // namespace
-
-constexpr size_t max_alloc_buf_size = 128 * 1024;
-
-// Constructor implementation
-ETDumpGen::ETDumpGen(Span<uint8_t> buffer) {
-  // Initialize the flatcc builder using the buffer and buffer size.
-
-  if (buffer.data() != nullptr) {
-    builder = (struct flatcc_builder*)alignPointer(buffer.data(), 64);
-    uintptr_t buffer_with_builder =
-        (uintptr_t)alignPointer(builder + sizeof(struct flatcc_builder), 64);
-    size_t buffer_size = buffer.size() -
-        (size_t)(buffer_with_builder - (uintptr_t)buffer.data());
-    alloc.set_buffer(
-        (uint8_t*)buffer_with_builder,
-        buffer_size,
-        (size_t)((buffer_size / 4 > max_alloc_buf_size) ? max_alloc_buf_size
-                                                        : buffer_size / 4));
-    et_flatcc_custom_init(builder, &alloc);
-  } else {
-    builder = (struct flatcc_builder*)malloc(sizeof(struct flatcc_builder));
-    ET_CHECK_MSG(
-        builder != nullptr, "Failed to allocate memory for flatcc builder.");
-    flatcc_builder_init(builder);
-  }
-  reset();
-}
-
-ETDumpGen::~ETDumpGen() {
-  flatcc_builder_clear(builder);
-  if (!is_static_etdump()) {
-    free(builder);
-  }
-}
-
-void ETDumpGen::reset() {
-  etdump_gen_state = ETDumpGen_Init;
-  num_blocks = 0;
-  flatcc_builder_reset(builder);
-  flatbuffers_buffer_start(builder, etdump_ETDump_file_identifier);
-  etdump_ETDump_start_as_root_with_size(builder);
-  etdump_ETDump_version_add(builder, ETDUMP_VERSION);
-  etdump_ETDump_run_data_start(builder);
-  etdump_ETDump_run_data_push_start(builder);
-}
-
-void ETDumpGen::create_event_block(const char* name) {
-  if (etdump_gen_state == ETDumpGen_Adding_Events) {
-    etdump_RunData_events_end(builder);
-  } else if (etdump_gen_state == ETDumpGen_Done) {
-    reset();
-  }
-  if (num_blocks > 0) {
-    etdump_ETDump_run_data_push_end(builder);
-    etdump_ETDump_run_data_push_start(builder);
-  }
-  ++num_blocks;
-  etdump_RunData_name_create_strn(builder, name, strlen(name));
-  if (bundled_input_index != -1) {
-    etdump_RunData_bundled_input_index_add(builder, bundled_input_index);
-  }
-  etdump_gen_state = ETDumpGen_Block_Created;
-}
-
-int64_t ETDumpGen::create_string_entry(const char* name) {
-  return flatbuffers_string_create_str(builder, name);
-}
-
-// ETDumpGen has the following possible states, ETDumpGen_Init,
-// ETDumpGen_Block_Created, ETDumpGen_Adding_Allocators,
-// ETDumpGen_Adding_Events. Right after boot-up the state of ETDump will be
-// ETDumpGen_Init. At this point we have an option of adding allocators that
-// we want to track. Once we've completed adding the allocators we want to track
-// we will close the allocators table and move ETDumpGen to the
-// ETDumpGen_Adding_Events state. After this point we can start adding events to
-// ETDump as we wish.
-// The reason we need to maintain this state machine inside of ETDumpGen is
-// because, once a table of one type has been closed and another table of a
-// different type is opened after it we cannot open another table of the first
-// type again. In this case once we close the allocators table and start pushing
-// to the events table we cannot push to the allocators table again.
-void ETDumpGen::check_ready_to_add_events() {
-  if (etdump_gen_state != ETDumpGen_Adding_Events) {
-    ET_CHECK_MSG(
-        (etdump_gen_state == ETDumpGen_Adding_Allocators ||
-         etdump_gen_state == ETDumpGen_Block_Created),
-        "ETDumpGen in an invalid state. Cannot add new events now.");
-    if (etdump_gen_state == ETDumpGen_Adding_Allocators) {
-      etdump_RunData_allocators_end(builder);
-    }
-    etdump_RunData_events_start(builder);
-    etdump_gen_state = ETDumpGen_Adding_Events;
-  }
-}
-
-EventTracerEntry ETDumpGen::start_profiling(
-    const char* name,
-    ChainID chain_id,
-    DebugHandle debug_handle) {
-  EventTracerEntry prof_entry;
-  prof_entry.event_id = name != nullptr ? create_string_entry(name) : -1;
-  prof_entry.delegate_event_id_type = DelegateDebugIdType::kNone;
-
-  if (chain_id == -1) {
-    prof_entry.chain_id = chain_id_;
-    prof_entry.debug_handle = debug_handle_;
-  } else {
-    prof_entry.chain_id = chain_id;
-    prof_entry.debug_handle = debug_handle;
-  }
-  prof_entry.start_time = et_pal_current_ticks();
-  return prof_entry;
-}
-
-// TODO: Update all occurrences of the ProfileEvent calls once the
-// EventTracerEntry struct is updated.
-EventTracerEntry ETDumpGen::start_profiling_delegate(
-    const char* name,
-    DebugHandle delegate_debug_index) {
-  ET_CHECK_MSG(
-      (name == nullptr) ^ (delegate_debug_index == -1),
-      "Only name or delegate_debug_index can be valid. Check DelegateMappingBuilder documentation for more details.");
-  check_ready_to_add_events();
-  EventTracerEntry prof_entry;
-  DelegateDebugIdType delegate_event_id_type =
-      name == nullptr ? DelegateDebugIdType::kInt : DelegateDebugIdType::kStr;
-  prof_entry.delegate_event_id_type = delegate_event_id_type;
-  prof_entry.chain_id = chain_id_;
-  prof_entry.debug_handle = debug_handle_;
-  prof_entry.event_id = delegate_debug_index == static_cast<unsigned int>(-1)
-      ? create_string_entry(name)
-      : delegate_debug_index;
-  prof_entry.start_time = et_pal_current_ticks();
-  return prof_entry;
-}
-
-void ETDumpGen::end_profiling_delegate(
-    EventTracerEntry event_tracer_entry,
-    const void* metadata,
-    size_t metadata_len) {
-  et_timestamp_t end_time = et_pal_current_ticks();
-  check_ready_to_add_events();
-
-  // Start building the ProfileEvent entry.
-  etdump_ProfileEvent_start(builder);
-  etdump_ProfileEvent_start_time_add(builder, event_tracer_entry.start_time);
-  etdump_ProfileEvent_end_time_add(builder, end_time);
-  etdump_ProfileEvent_chain_index_add(builder, chain_id_);
-  etdump_ProfileEvent_instruction_id_add(builder, debug_handle_);
-  // Delegate debug identifier can either be of a string type or an integer
-  // type. If it's a string type then it's a value of type
-  // flatbuffers_string_ref_t type, whereas if it's an integer type then we
-  // write the integer value directly.
-  if (event_tracer_entry.delegate_event_id_type == DelegateDebugIdType::kInt) {
-    etdump_ProfileEvent_delegate_debug_id_int_add(
-        builder, event_tracer_entry.event_id);
-  } else {
-    etdump_ProfileEvent_delegate_debug_id_str_add(
-        builder, event_tracer_entry.event_id);
-  }
-  flatbuffers_uint8_vec_ref_t vec_ref = flatbuffers_uint8_vec_create_pe(
-      builder, (const uint8_t*)metadata, metadata_len);
-  etdump_ProfileEvent_delegate_debug_metadata_add(builder, vec_ref);
-  etdump_ProfileEvent_ref_t id = etdump_ProfileEvent_end(builder);
-  etdump_RunData_events_push_start(builder);
-  etdump_Event_profile_event_add(builder, id);
-  etdump_RunData_events_push_end(builder);
-}
-
-void ETDumpGen::log_profiling_delegate(
-    const char* name,
-    DebugHandle delegate_debug_index,
-    et_timestamp_t start_time,
-    et_timestamp_t end_time,
-    const void* metadata,
-    size_t metadata_len) {
-  ET_CHECK_MSG(
-      (name == nullptr) ^ (delegate_debug_index == -1),
-      "Only name or delegate_debug_index can be valid. Check DelegateMappingBuilder documentation for more details.");
-  check_ready_to_add_events();
-  int64_t string_id = name != nullptr ? create_string_entry(name) : -1;
-  etdump_ProfileEvent_start(builder);
-  etdump_ProfileEvent_start_time_add(builder, start_time);
-  etdump_ProfileEvent_end_time_add(builder, end_time);
-  etdump_ProfileEvent_chain_index_add(builder, chain_id_);
-  etdump_ProfileEvent_instruction_id_add(builder, debug_handle_);
-  if (string_id == -1) {
-    etdump_ProfileEvent_delegate_debug_id_int_add(
-        builder, delegate_debug_index);
-  } else {
-    etdump_ProfileEvent_delegate_debug_id_str_add(builder, string_id);
-  }
-  flatbuffers_uint8_vec_ref_t vec_ref = flatbuffers_uint8_vec_create_pe(
-      builder, (const uint8_t*)metadata, metadata_len);
-  etdump_ProfileEvent_delegate_debug_metadata_add(builder, vec_ref);
-  etdump_ProfileEvent_ref_t id = etdump_ProfileEvent_end(builder);
-  etdump_RunData_events_push_start(builder);
-  etdump_Event_profile_event_add(builder, id);
-  etdump_RunData_events_push_end(builder);
-}
-
-void ETDumpGen::log_intermediate_output_delegate(
-    const char* name,
-    DebugHandle delegate_debug_index,
-    const Tensor& output) {
-  log_intermediate_output_delegate_helper(name, delegate_debug_index, output);
-}
-
-void ETDumpGen::log_intermediate_output_delegate(
-    const char* name,
-    DebugHandle delegate_debug_index,
-    const ArrayRef<Tensor> output) {
-  log_intermediate_output_delegate_helper(name, delegate_debug_index, output);
-}
-
-void ETDumpGen::log_intermediate_output_delegate(
-    const char* name,
-    DebugHandle delegate_debug_index,
-    const int& output) {
-  log_intermediate_output_delegate_helper(name, delegate_debug_index, output);
-}
-
-void ETDumpGen::log_intermediate_output_delegate(
-    const char* name,
-    DebugHandle delegate_debug_index,
-    const bool& output) {
-  log_intermediate_output_delegate_helper(name, delegate_debug_index, output);
-}
-
-void ETDumpGen::log_intermediate_output_delegate(
-    const char* name,
-    DebugHandle delegate_debug_index,
-    const double& output) {
-  log_intermediate_output_delegate_helper(name, delegate_debug_index, output);
-}
-
-template <typename T>
-void ETDumpGen::log_intermediate_output_delegate_helper(
-    const char* name,
-    DebugHandle delegate_debug_index,
-    const T& output) {
-  ET_CHECK_MSG(
-      (name == nullptr) ^ (delegate_debug_index == -1),
-      "Only name or delegate_debug_index can be valid. Check DelegateMappingBuilder documentation for more details.");
-  if (debug_buffer.empty()) {
-    ET_CHECK_MSG(0, "Must pre-set debug buffer with set_debug_buffer()\n");
-    return;
-  }
-
-  check_ready_to_add_events();
-  int64_t string_id = name != nullptr ? create_string_entry(name) : -1;
-
-  etdump_DebugEvent_start(builder);
-
-  etdump_DebugEvent_chain_index_add(builder, chain_id_);
-  etdump_DebugEvent_instruction_id_add(builder, debug_handle_);
-  if (string_id == -1) {
-    etdump_DebugEvent_delegate_debug_id_int_add(builder, delegate_debug_index);
-  } else {
-    etdump_DebugEvent_delegate_debug_id_str_add(builder, string_id);
-  }
-
-  // Check the type of `output` then call the corresponding logging functions
-  if constexpr (std::is_same<T, Tensor>::value) {
-    long offset = copy_tensor_to_debug_buffer(output);
-    etdump_Tensor_ref_t tensor_ref = add_tensor_entry(builder, output, offset);
-
-    etdump_Value_start(builder);
-    etdump_Value_val_add(builder, etdump_ValueType_Tensor);
-    etdump_Value_tensor_add(builder, tensor_ref);
-
-  } else if constexpr (std::is_same<T, ArrayRef<Tensor>>::value) {
-    etdump_Tensor_vec_start(builder);
-    for (size_t i = 0; i < output.size(); ++i) {
-      long offset = copy_tensor_to_debug_buffer(output[i]);
-      etdump_Tensor_vec_push(
-          builder, add_tensor_entry(builder, output[i], offset));
-    }
-    etdump_Tensor_vec_ref_t tensor_vec_ref = etdump_Tensor_vec_end(builder);
-    etdump_TensorList_ref_t tensor_list_ref =
-        etdump_TensorList_create(builder, tensor_vec_ref);
-
-    etdump_Value_start(builder);
-    etdump_Value_val_add(builder, etdump_ValueType_TensorList);
-    etdump_Value_tensor_list_add(builder, tensor_list_ref);
-  } else if constexpr (std::is_same<T, int>::value) {
-    auto int_ref = etdump_Int_create(builder, output);
-
-    etdump_Value_start(builder);
-    etdump_Value_val_add(builder, etdump_ValueType_Int);
-    etdump_Value_int_value_add(builder, int_ref);
-  } else if constexpr (std::is_same<T, double>::value) {
-    auto double_ref = etdump_Double_create(builder, output);
-
-    etdump_Value_start(builder);
-    etdump_Value_double_value_add(builder, double_ref);
-    etdump_Value_val_add(builder, etdump_ValueType_Double);
-  } else if constexpr (std::is_same<T, bool>::value) {
-    flatbuffers_bool_t flatbuffer_bool_val =
-        output ? FLATBUFFERS_TRUE : FLATBUFFERS_FALSE;
-    auto bool_ref = etdump_Bool_create(builder, flatbuffer_bool_val);
-
-    etdump_Value_start(builder);
-    etdump_Value_bool_value_add(builder, bool_ref);
-    etdump_Value_val_add(builder, etdump_ValueType_Bool);
-  } else {
-    ET_CHECK_MSG(0, "Unsupported output type for intermediate logging\n");
-  }
-
-  auto value_ref = etdump_Value_end(builder);
-  etdump_DebugEvent_debug_entry_add(builder, value_ref);
-
-  etdump_DebugEvent_ref_t debug_event = etdump_DebugEvent_end(builder);
-
-  etdump_RunData_events_push_start(builder);
-  etdump_Event_debug_event_add(builder, debug_event);
-  etdump_RunData_events_push_end(builder);
-}
-
-void ETDumpGen::end_profiling(EventTracerEntry prof_entry) {
-  et_timestamp_t end_time = et_pal_current_ticks();
-  ET_CHECK_MSG(
-      prof_entry.delegate_event_id_type == DelegateDebugIdType::kNone,
-      "Delegate events must use end_profiling_delegate to mark the end of a delegate profiling event.");
-  check_ready_to_add_events();
-
-  etdump_ProfileEvent_start(builder);
-  etdump_ProfileEvent_start_time_add(builder, prof_entry.start_time);
-  etdump_ProfileEvent_end_time_add(builder, end_time);
-  etdump_ProfileEvent_chain_index_add(builder, prof_entry.chain_id);
-  etdump_ProfileEvent_instruction_id_add(builder, prof_entry.debug_handle);
-  if (prof_entry.event_id != -1) {
-    etdump_ProfileEvent_name_add(builder, prof_entry.event_id);
-  }
-  etdump_ProfileEvent_ref_t id = etdump_ProfileEvent_end(builder);
-  etdump_RunData_events_push_start(builder);
-  etdump_Event_profile_event_add(builder, id);
-  etdump_RunData_events_push_end(builder);
-}
-
-AllocatorID ETDumpGen::track_allocator(const char* name) {
-  ET_CHECK_MSG(
-      (etdump_gen_state == ETDumpGen_Block_Created ||
-       etdump_gen_state == ETDumpGen_Adding_Allocators),
-      "Allocators can only be added immediately after a new block is created and before any events are added.");
-  if (etdump_gen_state != ETDumpGen_Adding_Allocators) {
-    etdump_RunData_allocators_start(builder);
-    etdump_gen_state = ETDumpGen_Adding_Allocators;
-  }
-  flatbuffers_string_ref_t ref = create_string_entry(name);
-  etdump_RunData_allocators_push_create(builder, ref);
-  return etdump_RunData_allocators_reserved_len(builder);
-}
-
-void ETDumpGen::track_allocation(
-    AllocatorID allocator_id,
-    size_t allocation_size) {
-  check_ready_to_add_events();
-
-  etdump_RunData_events_push_start(builder);
-  etdump_Event_allocation_event_create(builder, allocator_id, allocation_size);
-  etdump_RunData_events_push_end(builder);
-}
-
-etdump_result ETDumpGen::get_etdump_data() {
-  etdump_result result;
-  if (etdump_gen_state == ETDumpGen_Adding_Events) {
-    etdump_RunData_events_end(builder);
-  } else if (etdump_gen_state == ETDumpGen_Adding_Allocators) {
-    etdump_RunData_allocators_end(builder);
-  } else if (etdump_gen_state == ETDumpGen_Init) {
-    result.buf = nullptr;
-    result.size = 0;
-    return result;
-  }
-  etdump_ETDump_run_data_push_end(builder);
-  etdump_ETDump_run_data_end(builder);
-  etdump_ETDump_ref_t root = etdump_ETDump_end(builder);
-  flatbuffers_buffer_end(builder, root);
-  if (num_blocks == 0) {
-    result = {nullptr, 0};
-  } else {
-    if (alloc.data) {
-      result.buf = alloc.front_cursor;
-      result.size = alloc.out_size - alloc.front_left;
-    } else {
-      result.buf =
-          flatcc_builder_finalize_aligned_buffer(builder, &result.size);
-    }
-  }
-  etdump_gen_state = ETDumpGen_Done;
-  return result;
-}
-
-void ETDumpGen::set_debug_buffer(Span<uint8_t> buffer) {
-  debug_buffer = buffer;
-}
-
-size_t ETDumpGen::copy_tensor_to_debug_buffer(exec_aten::Tensor tensor) {
-  if (tensor.nbytes() == 0) {
-    return static_cast<size_t>(-1);
-  }
-  uint8_t* offset_ptr =
-      alignPointer(debug_buffer.data() + debug_buffer_offset, 64);
-  debug_buffer_offset = (offset_ptr - debug_buffer.data()) + tensor.nbytes();
-  ET_CHECK_MSG(
-      debug_buffer_offset <= debug_buffer.size(),
-      "Ran out of space to store intermediate outputs.");
-  memcpy(offset_ptr, tensor.const_data_ptr(), tensor.nbytes());
-  return (size_t)(offset_ptr - debug_buffer.data());
-}
-
-void ETDumpGen::log_evalue(const EValue& evalue, LoggedEValueType evalue_type) {
-  if (debug_buffer.empty()) {
-    return;
-  }
-
-  check_ready_to_add_events();
-
-  etdump_DebugEvent_start(builder);
-
-  etdump_DebugEvent_chain_index_add(builder, chain_id_);
-  etdump_DebugEvent_instruction_id_add(builder, debug_handle_);
-
-  switch (evalue.tag) {
-    case Tag::Tensor: {
-      exec_aten::Tensor tensor = evalue.toTensor();
-      long offset = copy_tensor_to_debug_buffer(tensor);
-      etdump_Tensor_ref_t tensor_ref =
-          add_tensor_entry(builder, tensor, offset);
-
-      etdump_Value_start(builder);
-      etdump_Value_val_add(builder, etdump_ValueType_Tensor);
-      etdump_Value_tensor_add(builder, tensor_ref);
-      if (evalue_type == LoggedEValueType::kProgramOutput) {
-        auto bool_ref = etdump_Bool_create(builder, FLATBUFFERS_TRUE);
-        etdump_Value_output_add(builder, bool_ref);
-      }
-      auto value_ref = etdump_Value_end(builder);
-
-      etdump_DebugEvent_debug_entry_add(builder, value_ref);
-      break;
-    }
-
-    case Tag::ListTensor: {
-      exec_aten::ArrayRef<exec_aten::Tensor> tensors = evalue.toTensorList();
-      etdump_Tensor_vec_start(builder);
-      for (size_t i = 0; i < tensors.size(); ++i) {
-        long offset = copy_tensor_to_debug_buffer(tensors[i]);
-        etdump_Tensor_vec_push(
-            builder, add_tensor_entry(builder, tensors[i], offset));
-      }
-      etdump_Tensor_vec_ref_t tensor_vec_ref = etdump_Tensor_vec_end(builder);
-      etdump_TensorList_ref_t tensor_list_ref =
-          etdump_TensorList_create(builder, tensor_vec_ref);
-
-      etdump_Value_start(builder);
-      etdump_Value_val_add(builder, etdump_ValueType_TensorList);
-      etdump_Value_tensor_list_add(builder, tensor_list_ref);
-      if (evalue_type == LoggedEValueType::kProgramOutput) {
-        auto bool_ref = etdump_Bool_create(builder, FLATBUFFERS_TRUE);
-        etdump_Value_output_add(builder, bool_ref);
-      }
-      auto value_ref = etdump_Value_end(builder);
-
-      etdump_DebugEvent_debug_entry_add(builder, value_ref);
-      break;
-    }
-
-    case Tag::Int: {
-      int64_t val = evalue.toInt();
-      auto int_ref = etdump_Int_create(builder, val);
-
-      etdump_Value_start(builder);
-      etdump_Value_val_add(builder, etdump_ValueType_Int);
-      etdump_Value_int_value_add(builder, int_ref);
-      auto value_ref = etdump_Value_end(builder);
-      etdump_DebugEvent_debug_entry_add(builder, value_ref);
-
-      break;
-    }
-
-    case Tag::Double: {
-      double val = evalue.toDouble();
-      auto double_ref = etdump_Double_create(builder, val);
-
-      etdump_Value_start(builder);
-      etdump_Value_double_value_add(builder, double_ref);
-      etdump_Value_val_add(builder, etdump_ValueType_Double);
-      auto value_ref = etdump_Value_end(builder);
-      etdump_DebugEvent_debug_entry_add(builder, value_ref);
-
-      break;
-    }
-
-    case Tag::Bool: {
-      flatbuffers_bool_t flatbuffer_bool_val =
-          evalue.toBool() ? FLATBUFFERS_TRUE : FLATBUFFERS_FALSE;
-      auto bool_ref = etdump_Bool_create(builder, flatbuffer_bool_val);
-
-      etdump_Value_start(builder);
-      etdump_Value_bool_value_add(builder, bool_ref);
-      etdump_Value_val_add(builder, etdump_ValueType_Bool);
-      auto value_ref = etdump_Value_end(builder);
-      etdump_DebugEvent_debug_entry_add(builder, value_ref);
-
-      break;
-    }
-
-    default:
-      ET_CHECK_MSG(
-          0,
-          "This EValue type = %d is not yet supported for logging\n",
-          static_cast<int>(evalue.tag));
-      break;
-  }
-
-  etdump_DebugEvent_ref_t debug_event = etdump_DebugEvent_end(builder);
-
-  etdump_RunData_events_push_start(builder);
-  etdump_Event_debug_event_add(builder, debug_event);
-  etdump_RunData_events_push_end(builder);
-}
-
-size_t ETDumpGen::get_num_blocks() {
-  return num_blocks;
-}
-
-bool ETDumpGen::is_static_etdump() {
-  return alloc.data != nullptr;
-}
-
-} // namespace executor
-} // namespace torch
diff --git a/sdk/etdump/etdump_flatcc.h b/sdk/etdump/etdump_flatcc.h
deleted file mode 100644
index e56d09f810..0000000000
--- a/sdk/etdump/etdump_flatcc.h
+++ /dev/null
@@ -1,170 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#pragma once
-
-#include <executorch/runtime/core/span.h>
-#include <cstdint>
-#include "executorch/runtime/core/event_tracer.h"
-#include "executorch/runtime/platform/platform.h"
-
-#define ETDUMP_VERSION 0
-
-struct flatcc_builder;
-
-namespace torch {
-namespace executor {
-
-enum ETDumpGen_State {
-  ETDumpGen_Init,
-  ETDumpGen_Block_Created,
-  ETDumpGen_Adding_Allocators,
-  ETDumpGen_Adding_Events,
-  ETDumpGen_Done,
-};
-
-struct etdump_result {
-  void* buf;
-  size_t size;
-};
-
-struct etdump_static_allocator {
-  etdump_static_allocator() {}
-
-  void
-  set_buffer(uint8_t* buffer, size_t total_buf_size, size_t alloc_buf_size) {
-    data = buffer;
-    data_size = alloc_buf_size;
-    allocated = 0;
-    out_size = total_buf_size - alloc_buf_size;
-    front_cursor = &buffer[alloc_buf_size];
-    front_left = out_size / 2;
-  }
-
-  // Pointer to backing buffer to allocate from.
-  uint8_t* data{nullptr};
-
-  // Size of backing buffer.
-  size_t data_size{0};
-
-  // Current allocation offset.
-  size_t allocated{0};
-
-  // Size of build buffer.
-  size_t out_size{0};
-
-  // Pointer to front of build buffer.
-  uint8_t* front_cursor{nullptr};
-
-  // Bytes left in front of front_cursor.
-  size_t front_left{0};
-};
-
-class ETDumpGen : public EventTracer {
- public:
-  ETDumpGen(Span<uint8_t> buffer = {nullptr, (size_t)0});
-  ~ETDumpGen() override;
-  void clear_builder();
-
-  void create_event_block(const char* name) override;
-  virtual EventTracerEntry start_profiling(
-      const char* name,
-      ChainID chain_id = -1,
-      DebugHandle debug_handle = 0) override;
-  virtual void end_profiling(EventTracerEntry prof_entry) override;
-  virtual EventTracerEntry start_profiling_delegate(
-      const char* name,
-      DebugHandle delegate_debug_index) override;
-  virtual void end_profiling_delegate(
-      EventTracerEntry prof_entry,
-      const void* metadata,
-      size_t metadata_len) override;
-  virtual void log_profiling_delegate(
-      const char* name,
-      DebugHandle delegate_debug_index,
-      et_timestamp_t start_time,
-      et_timestamp_t end_time,
-      const void* metadata,
-      size_t metadata_len) override;
-  virtual void track_allocation(AllocatorID id, size_t size) override;
-  virtual AllocatorID track_allocator(const char* name) override;
-  virtual void log_evalue(
-      const EValue& evalue,
-      LoggedEValueType evalue_type =
-          LoggedEValueType::kIntermediateOutput) override;
-  /**
-   * Log an intermediate tensor output from a delegate.
-   */
-  virtual void log_intermediate_output_delegate(
-      const char* name,
-      DebugHandle delegate_debug_index,
-      const Tensor& output) override;
-
-  /**
-   * Log an intermediate tensor array output from a delegate.
-   */
-  virtual void log_intermediate_output_delegate(
-      const char* name,
-      DebugHandle delegate_debug_index,
-      const ArrayRef<Tensor> output) override;
-
-  /**
-   * Log an intermediate int output from a delegate.
-   */
-  virtual void log_intermediate_output_delegate(
-      const char* name,
-      DebugHandle delegate_debug_index,
-      const int& output) override;
-
-  /**
-   * Log an intermediate bool output from a delegate.
-   */
-  virtual void log_intermediate_output_delegate(
-      const char* name,
-      DebugHandle delegate_debug_index,
-      const bool& output) override;
-
-  /**
-   * Log an intermediate double output from a delegate.
-   */
-  virtual void log_intermediate_output_delegate(
-      const char* name,
-      DebugHandle delegate_debug_index,
-      const double& output) override;
-  void set_debug_buffer(Span<uint8_t> buffer);
-  etdump_result get_etdump_data();
-  size_t get_num_blocks();
-  bool is_static_etdump();
-  void reset();
-
- private:
-  struct flatcc_builder* builder;
-  size_t num_blocks = 0;
-  Span<uint8_t> debug_buffer;
-  size_t debug_buffer_offset = 0;
-  int bundled_input_index = -1;
-  ETDumpGen_State etdump_gen_state = ETDumpGen_Init;
-  struct etdump_static_allocator alloc;
-
-  void check_ready_to_add_events();
-  int64_t create_string_entry(const char* name);
-  size_t copy_tensor_to_debug_buffer(exec_aten::Tensor tensor);
-
-  /**
-   * Templated helper function used to log various types of intermediate output.
-   * Supported types include tensor, tensor array, int, bool and double.
-   */
-  template <typename T>
-  void log_intermediate_output_delegate_helper(
-      const char* name,
-      DebugHandle delegate_debug_index,
-      const T& output);
-};
-
-} // namespace executor
-} // namespace torch
diff --git a/sdk/etdump/targets.bzl b/sdk/etdump/targets.bzl
deleted file mode 100644
index 6d548ce650..0000000000
--- a/sdk/etdump/targets.bzl
+++ /dev/null
@@ -1,114 +0,0 @@
-load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
-
-SCALAR_TYPE_STEM = "scalar_type"
-SCALAR_TYPE = SCALAR_TYPE_STEM + ".fbs"
-
-# flatcc
-ETDUMP_STEM_FLATCC = "etdump_schema_flatcc"
-ETDUMP_SCHEMA_FLATCC = ETDUMP_STEM_FLATCC + ".fbs"
-ETDUMP_GEN_RULE_NAME_FLATCC = "generate_etdump" + "_flatcc"
-
-ETDUMP_SCHEMA_FLATCC_BUILDER = ETDUMP_STEM_FLATCC + "_builder.h"
-ETDUMP_SCHEMA_FLATCC_READER = ETDUMP_STEM_FLATCC + "_reader.h"
-ETDUMP_SCHEMA_FLATCC_VERIFIER = ETDUMP_STEM_FLATCC + "_verifier.h"
-
-SCALAR_TYPE_BUILDER = SCALAR_TYPE_STEM + "_builder.h"
-SCALAR_TYPE_READER = SCALAR_TYPE_STEM + "_reader.h"
-SCALAR_TYPE_VERIFIER = SCALAR_TYPE_STEM + "_verifier.h"
-
-FLATBUFFERS_COMMON_STEM = "flatbuffers_common"
-FLATBUFFERS_COMMON_BUILDER = FLATBUFFERS_COMMON_STEM + "_builder.h"
-FLATBUFFERS_COMMON_READER = FLATBUFFERS_COMMON_STEM + "_reader.h"
-
-def generate_schema_header_flatcc(rule_name, srcs, headers, default_headers):
-    """
-    Generate header files for ETDump schema
-    """
-    runtime.genrule(
-        name = rule_name,
-        srcs = srcs,
-        outs = {header: [header] for header in headers},
-        default_outs = default_headers,
-        cmd = " ".join([
-            "$(exe {})".format(runtime.external_dep_location("flatcc-cli")),
-            "-cwr",
-            "-o ${OUT}",
-            "${SRCS}",
-            # Let our infra know that the file was generated.
-            " ".join(["&& echo // @" + "generated >> ${OUT}/" + header for header in headers]),
-        ]),
-    )
-
-def define_common_targets():
-    """Defines targets that should be shared between fbcode and xplat.
-
-    The directory containing this targets.bzl file should also contain both
-    TARGETS and BUCK files that call this function.
-    """
-    runtime.export_file(
-        name = ETDUMP_SCHEMA_FLATCC,
-        visibility = ["@EXECUTORCH_CLIENTS"],
-    )
-
-    generate_schema_header_flatcc(
-        ETDUMP_GEN_RULE_NAME_FLATCC,
-        [ETDUMP_SCHEMA_FLATCC, SCALAR_TYPE],
-        [
-            ETDUMP_SCHEMA_FLATCC_BUILDER,
-            ETDUMP_SCHEMA_FLATCC_READER,
-            ETDUMP_SCHEMA_FLATCC_VERIFIER,
-            SCALAR_TYPE_BUILDER,
-            SCALAR_TYPE_READER,
-            SCALAR_TYPE_VERIFIER,
-            FLATBUFFERS_COMMON_BUILDER,
-            FLATBUFFERS_COMMON_READER,
-        ],
-        [
-            ETDUMP_SCHEMA_FLATCC_BUILDER,
-            ETDUMP_SCHEMA_FLATCC_READER,
-            ETDUMP_SCHEMA_FLATCC_VERIFIER,
-        ],
-    )
-
-    runtime.cxx_library(
-        name = ETDUMP_STEM_FLATCC,
-        srcs = [],
-        visibility = ["//executorch/...", "@EXECUTORCH_CLIENTS"],
-        exported_headers = {
-            ETDUMP_SCHEMA_FLATCC_BUILDER: ":{}[{}]".format(ETDUMP_GEN_RULE_NAME_FLATCC, ETDUMP_SCHEMA_FLATCC_BUILDER),
-            ETDUMP_SCHEMA_FLATCC_READER: ":{}[{}]".format(ETDUMP_GEN_RULE_NAME_FLATCC, ETDUMP_SCHEMA_FLATCC_READER),
-            ETDUMP_SCHEMA_FLATCC_VERIFIER: ":{}[{}]".format(ETDUMP_GEN_RULE_NAME_FLATCC, ETDUMP_SCHEMA_FLATCC_VERIFIER),
-            SCALAR_TYPE_BUILDER: ":{}[{}]".format(ETDUMP_GEN_RULE_NAME_FLATCC, SCALAR_TYPE_BUILDER),
-            SCALAR_TYPE_READER: ":{}[{}]".format(ETDUMP_GEN_RULE_NAME_FLATCC, SCALAR_TYPE_READER),
-            SCALAR_TYPE_VERIFIER: ":{}[{}]".format(ETDUMP_GEN_RULE_NAME_FLATCC, SCALAR_TYPE_VERIFIER),
-            FLATBUFFERS_COMMON_BUILDER: ":{}[{}]".format(ETDUMP_GEN_RULE_NAME_FLATCC, FLATBUFFERS_COMMON_BUILDER),
-            FLATBUFFERS_COMMON_READER: ":{}[{}]".format(ETDUMP_GEN_RULE_NAME_FLATCC, FLATBUFFERS_COMMON_READER),
-        },
-        exported_external_deps = ["flatccrt"],
-    )
-
-    for aten_mode in (True, False):
-        aten_suffix = "_aten" if aten_mode else ""
-        runtime.cxx_library(
-            name = "etdump_flatcc" + aten_suffix,
-            srcs = [
-                "etdump_flatcc.cpp",
-                "emitter.cpp",
-            ],
-            exported_headers = [
-                "etdump_flatcc.h",
-                "emitter.h",
-            ],
-            deps = [
-                "//executorch/runtime/platform:platform",
-            ],
-            exported_deps = [
-                ":etdump_schema_flatcc",
-                "//executorch/runtime/core:event_tracer" + aten_suffix,
-                "//executorch/runtime/core/exec_aten/util:scalar_type_util" + aten_suffix,
-            ],
-            visibility = [
-                "//executorch/...",
-                "@EXECUTORCH_CLIENTS",
-            ],
-        )
diff --git a/sdk/etdump/tests/TARGETS b/sdk/etdump/tests/TARGETS
deleted file mode 100644
index ad48948c48..0000000000
--- a/sdk/etdump/tests/TARGETS
+++ /dev/null
@@ -1,18 +0,0 @@
-load("@fbcode_macros//build_defs:python_unittest.bzl", "python_unittest")
-load(":targets.bzl", "define_common_targets")
-
-oncall("executorch")
-
-define_common_targets()
-
-python_unittest(
-    name = "serialize_test",
-    srcs = [
-        "serialize_test.py",
-    ],
-    deps = [
-        "//executorch/exir/_serialize:lib",
-        "//executorch/sdk/etdump:schema_flatcc",
-        "//executorch/sdk/etdump:serialize",
-    ],
-)
diff --git a/sdk/etdump/tests/targets.bzl b/sdk/etdump/tests/targets.bzl
deleted file mode 100644
index 41b19ca65e..0000000000
--- a/sdk/etdump/tests/targets.bzl
+++ /dev/null
@@ -1,21 +0,0 @@
-load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
-
-def define_common_targets():
-    """Defines targets that should be shared between fbcode and xplat.
-
-    The directory containing this targets.bzl file should also contain both
-    TARGETS and BUCK files that call this function.
-    """
-
-    runtime.cxx_test(
-        name = "etdump_test",
-        srcs = [
-            "etdump_test.cpp",
-        ],
-        deps = [
-            "//executorch/sdk/etdump:etdump_flatcc",
-            "//executorch/sdk/etdump:etdump_schema_flatcc",
-            "//executorch/runtime/platform:platform",
-            "//executorch/runtime/core/exec_aten/testing_util:tensor_util",
-        ],
-    )
diff --git a/sdk/etrecord/TARGETS b/sdk/etrecord/TARGETS
deleted file mode 100644
index c7de63a81f..0000000000
--- a/sdk/etrecord/TARGETS
+++ /dev/null
@@ -1,18 +0,0 @@
-load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
-
-oncall("executorch")
-
-python_library(
-    name = "etrecord",
-    srcs = [
-        "__init__.py",
-        "_etrecord.py",
-    ],
-    deps = [
-        "//executorch/exir:lib",
-        "//executorch/exir/emit:emit",
-        "//executorch/exir/serde:serialize",
-        "//executorch/sdk/bundled_program:core",
-        "//executorch/sdk/bundled_program/schema:bundled_program_schema_py",
-    ],
-)
diff --git a/sdk/etrecord/__init__.py b/sdk/etrecord/__init__.py
deleted file mode 100644
index 29c29462a7..0000000000
--- a/sdk/etrecord/__init__.py
+++ /dev/null
@@ -1,13 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-from executorch.sdk.etrecord._etrecord import (
-    ETRecord,
-    generate_etrecord,
-    parse_etrecord,
-)
-
-__all__ = ["ETRecord", "generate_etrecord", "parse_etrecord"]
diff --git a/sdk/etrecord/tests/TARGETS b/sdk/etrecord/tests/TARGETS
deleted file mode 100644
index 0984c755a4..0000000000
--- a/sdk/etrecord/tests/TARGETS
+++ /dev/null
@@ -1,30 +0,0 @@
-load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
-load("@fbcode_macros//build_defs:python_unittest.bzl", "python_unittest")
-
-oncall("executorch")
-
-python_unittest(
-    name = "etrecord_test",
-    srcs = ["etrecord_test.py"],
-    deps = [
-        "//caffe2:torch",
-        "//executorch/exir:lib",
-        "//executorch/exir/tests:models",
-        "//executorch/sdk/bundled_program:config",
-        "//executorch/sdk/bundled_program:core",
-        "//executorch/sdk/etrecord:etrecord",
-    ],
-)
-
-python_library(
-    name = "etrecord_test_library",
-    srcs = ["etrecord_test.py"],
-    deps = [
-        "//caffe2:torch",
-        "//executorch/exir:lib",
-        "//executorch/exir/tests:models",
-        "//executorch/sdk/bundled_program:config",
-        "//executorch/sdk/bundled_program:core",
-        "//executorch/sdk/etrecord:etrecord",
-    ],
-)
diff --git a/sdk/inspector/TARGETS b/sdk/inspector/TARGETS
deleted file mode 100644
index bc53c90c11..0000000000
--- a/sdk/inspector/TARGETS
+++ /dev/null
@@ -1,58 +0,0 @@
-load("@fbcode_macros//build_defs:python_binary.bzl", "python_binary")
-load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
-
-oncall("executorch")
-
-python_library(
-    name = "inspector",
-    srcs = [
-        "_inspector.py",
-    ],
-    deps = [
-        "fbsource//third-party/pypi/ipython:ipython",
-        "fbsource//third-party/pypi/numpy:numpy",
-        "fbsource//third-party/pypi/pandas:pandas",
-        "fbsource//third-party/pypi/tabulate:tabulate",
-        ":inspector_utils",
-        "//executorch/exir:lib",
-        "//executorch/sdk/debug_format:et_schema",
-        "//executorch/sdk/etdump:schema_flatcc",
-        "//executorch/sdk/etrecord:etrecord",
-    ],
-)
-
-python_binary(
-    name = "inspector_cli",
-    main_function = ".inspector_cli.main",
-    main_src = "inspector_cli.py",
-    deps = [
-        ":inspector_utils",
-        "//executorch/sdk:lib",
-    ],
-)
-
-python_library(
-    name = "inspector_utils",
-    srcs = [
-        "_inspector_utils.py",
-    ],
-    deps = [
-        "fbsource//third-party/pypi/matplotlib:matplotlib",
-        "fbsource//third-party/pypi/numpy:numpy",
-        "//caffe2:torch",
-        "//executorch/sdk/debug_format:base_schema",
-        "//executorch/sdk/debug_format:et_schema",
-        "//executorch/sdk/etdump:schema_flatcc",
-        "//executorch/sdk/etdump:serialize",
-        "//executorch/sdk/etrecord:etrecord",
-    ],
-)
-
-python_library(
-    name = "lib",
-    srcs = ["__init__.py"],
-    deps = [
-        ":inspector",
-        ":inspector_utils",
-    ],
-)
diff --git a/sdk/inspector/__init__.py b/sdk/inspector/__init__.py
deleted file mode 100644
index bef3d363d5..0000000000
--- a/sdk/inspector/__init__.py
+++ /dev/null
@@ -1,10 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-from executorch.sdk.inspector._inspector import Event, EventBlock, Inspector, PerfData
-from executorch.sdk.inspector._inspector_utils import TimeScale
-
-__all__ = ["Event", "EventBlock", "Inspector", "PerfData", "TimeScale"]
diff --git a/sdk/inspector/tests/TARGETS b/sdk/inspector/tests/TARGETS
deleted file mode 100644
index 374d2ea753..0000000000
--- a/sdk/inspector/tests/TARGETS
+++ /dev/null
@@ -1,40 +0,0 @@
-load("@fbcode_macros//build_defs:python_unittest.bzl", "python_unittest")
-
-oncall("executorch")
-
-python_unittest(
-    name = "inspector_test",
-    srcs = ["inspector_test.py"],
-    deps = [
-        "//executorch/exir:lib",
-        "//executorch/sdk:lib",
-        "//executorch/sdk/debug_format:et_schema",
-        "//executorch/sdk/etdump:schema_flatcc",
-        "//executorch/sdk/etrecord/tests:etrecord_test_library",
-        "//executorch/sdk/inspector:inspector",
-        "//executorch/sdk/inspector:lib",
-    ],
-)
-
-python_unittest(
-    name = "event_blocks_test",
-    srcs = ["event_blocks_test.py"],
-    deps = [
-        "//executorch/sdk/etdump:schema_flatcc",
-        "//executorch/sdk/inspector:inspector",
-        "//executorch/sdk/inspector:lib",
-    ],
-)
-
-python_unittest(
-    name = "inspector_utils_test",
-    srcs = ["inspector_utils_test.py"],
-    deps = [
-        "//executorch/sdk:lib",
-        "//executorch/sdk/debug_format:base_schema",
-        "//executorch/sdk/debug_format:et_schema",
-        "//executorch/sdk/etdump:schema_flatcc",
-        "//executorch/sdk/etrecord/tests:etrecord_test_library",
-        "//executorch/sdk/inspector:inspector_utils",
-    ],
-)
diff --git a/sdk/size_analysis_tool/TARGETS b/sdk/size_analysis_tool/TARGETS
deleted file mode 100644
index 44ae0aa6f8..0000000000
--- a/sdk/size_analysis_tool/TARGETS
+++ /dev/null
@@ -1,51 +0,0 @@
-load("@fbcode_macros//build_defs:python_binary.bzl", "python_binary")
-load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
-load("@fbcode_macros//build_defs:python_unittest.bzl", "python_unittest")
-
-oncall("executorch")
-
-python_library(
-    name = "size_analysis_tool_lib",
-    srcs = [
-        "size_analysis_tool.py",
-    ],
-    visibility = ["PUBLIC"],
-    deps = [
-        "//caffe2:torch",
-        "//executorch/exir:lib",
-        "//executorch/exir/backend:backend_api",
-        "//executorch/sdk:lib",
-    ],
-)
-
-python_binary(
-    name = "size_analysis_tool",
-    srcs = [
-        "size_analysis_tool.py",
-    ],
-    main_function = "executorch.sdk.size_analysis_tool.size_analysis_tool.main",
-    visibility = ["PUBLIC"],
-    deps = [
-        "//caffe2:torch",
-        "//executorch/exir:lib",
-        "//executorch/exir/backend:backend_api",
-        "//executorch/sdk:lib",
-    ],
-)
-
-python_unittest(
-    name = "size_analysis_tool_test",
-    srcs = [
-        "size_analysis_tool.py",
-        "size_analysis_tool_test.py",
-    ],
-    deps = [
-        "//caffe2:torch",
-        "//executorch/backends/xnnpack/partition:xnnpack_partitioner",
-        "//executorch/backends/xnnpack/utils:xnnpack_utils",
-        "//executorch/exir:lib",
-        "//executorch/exir/backend:backend_api",
-        "//executorch/exir/passes:spec_prop_pass",
-        "//executorch/sdk:lib",
-    ],
-)
diff --git a/sdk/targets.bzl b/sdk/targets.bzl
deleted file mode 100644
index 38c2e6e820..0000000000
--- a/sdk/targets.bzl
+++ /dev/null
@@ -1,8 +0,0 @@
-def build_sdk():
-    return native.read_config("executorch", "build_sdk", "false") == "true"
-
-def get_sdk_flags():
-    sdk_flags = []
-    if build_sdk():
-        sdk_flags += ["-DEXECUTORCH_BUILD_SDK"]
-    return sdk_flags
diff --git a/setup.py b/setup.py
index d71133b7bd..f6adb4f86c 100644
--- a/setup.py
+++ b/setup.py
@@ -48,6 +48,7 @@
 
 import contextlib
 import os
+import platform
 import re
 import sys
 
@@ -162,6 +163,31 @@ def write_to_python_file(cls, path: str) -> None:
             fp.write("\n".join(lines) + "\n")
 
 
+# The build type is determined by the DEBUG environment variable. If DEBUG is
+# set to a non-empty value, the build type is Debug. Otherwise, the build type
+# is Release.
+def get_build_type(is_debug=None) -> str:
+    debug = int(os.environ.get("DEBUG", 0)) if is_debug is None else is_debug
+    cfg = "Debug" if debug else "Release"
+    return cfg
+
+
+def get_dynamic_lib_name(name: str) -> str:
+    if platform.system() == "Windows":
+        return name + ".dll"
+    elif platform.system() == "Darwin":
+        return "lib" + name + ".dylib"
+    else:
+        return "lib" + name + ".so"
+
+
+def get_executable_name(name: str) -> str:
+    if platform.system() == "Windows":
+        return name + ".exe"
+    else:
+        return name
+
+
 class _BaseExtension(Extension):
     """A base class that maps an abstract source to an abstract destination."""
 
@@ -189,9 +215,17 @@ def src_path(self, installer: "InstallerBuildExt") -> Path:
             installer: The InstallerBuildExt instance that is installing the
                 file.
         """
-        # TODO(dbort): share the cmake-out location with CustomBuild. Can get a
-        # handle with installer.get_finalized_command('build')
-        cmake_cache_dir: Path = Path().cwd() / installer.build_temp / "cmake-out"
+        # Share the cmake-out location with CustomBuild.
+        cmake_cache_dir = Path(installer.get_finalized_command("build").cmake_cache_dir)
+
+        cfg = get_build_type(installer.debug)
+
+        if os.name == "nt":
+            # Replace %BUILD_TYPE% with the current build type.
+            self.src = self.src.replace("%BUILD_TYPE%", cfg)
+        else:
+            # Remove %BUILD_TYPE% from the path.
+            self.src = self.src.replace("/%BUILD_TYPE%", "")
 
         # Construct the full source path, resolving globs. If there are no glob
         # pattern characters, this will just ensure that the source file exists.
@@ -212,17 +246,39 @@ class BuiltFile(_BaseExtension):
     `ext_modules`.
     """
 
-    def __init__(self, src: str, dst: str):
+    def __init__(
+        self,
+        src_dir: str,
+        src_name: str,
+        dst: str,
+        is_executable: bool = False,
+        is_dynamic_lib: bool = False,
+    ):
         """Initializes a BuiltFile.
 
         Args:
-            src: The path to the file to install, relative to the cmake-out
-                directory. May be an fnmatch-style glob that matches exactly one
-                file.
+            src_dir: The directory of the file to install, relative to the cmake-out
+                directory. A placeholder %BUILD_TYPE% will be replaced with the build
+                type for multi-config generators (like Visual Studio) where the build
+                output is in a subdirectory named after the build type. For single-
+                config generators (like Makefile Generators or Ninja), this placeholder
+                will be removed.
+            src_name: The name of the file to install
             dst: The path to install to, relative to the root of the pip
                 package. If dst ends in "/", it is treated as a directory.
                 Otherwise it is treated as a filename.
+            is_executable: If True, the file is an executable. This is used to
+                determine the destination filename for executable.
+            is_dynamic_lib: If True, the file is a dynamic library. This is used
+                to determine the destination filename for dynamic library.
         """
+        if is_executable and is_dynamic_lib:
+            raise ValueError("is_executable and is_dynamic_lib cannot be both True.")
+        if is_executable:
+            src_name = get_executable_name(src_name)
+        elif is_dynamic_lib:
+            src_name = get_dynamic_lib_name(src_name)
+        src = os.path.join(src_dir, src_name)
         # This is not a real extension, so use a unique name that doesn't look
         # like a module path. Some of setuptools's autodiscovery will look for
         # extension names with prefixes that match certain module paths.
@@ -360,12 +416,12 @@ def run(self):
             ("schema/scalar_type.fbs", "exir/_serialize/scalar_type.fbs"),
             ("schema/program.fbs", "exir/_serialize/program.fbs"),
             (
-                "sdk/bundled_program/schema/bundled_program_schema.fbs",
-                "sdk/bundled_program/serialize/bundled_program_schema.fbs",
+                "devtools/bundled_program/schema/bundled_program_schema.fbs",
+                "devtools/bundled_program/serialize/bundled_program_schema.fbs",
             ),
             (
-                "sdk/bundled_program/schema/scalar_type.fbs",
-                "sdk/bundled_program/serialize/scalar_type.fbs",
+                "devtools/bundled_program/schema/scalar_type.fbs",
+                "devtools/bundled_program/serialize/scalar_type.fbs",
             ),
         ]
         for src, dst in src_to_dst:
@@ -397,7 +453,7 @@ def __init__(self):
         self.saved_env = {}
 
     def __enter__(self):
-        if os.geteuid() == 0 and "HOME" in os.environ:
+        if os.name != "nt" and os.geteuid() == 0 and "HOME" in os.environ:
             log.info("temporarily unsetting HOME while running as root")
             self.saved_env["HOME"] = os.environ.pop("HOME")
         return self
@@ -432,8 +488,7 @@ def initialize_options(self):
     def run(self):
         self.dump_options()
 
-        debug = int(os.environ.get("DEBUG", 0)) if self.debug is None else self.debug
-        cfg = "Debug" if debug else "Release"
+        cfg = get_build_type(self.debug)
 
         # get_python_lib() typically returns the path to site-packages, where
         # all pip packages in the environment are installed.
@@ -489,8 +544,11 @@ def run(self):
             cmake_args += [
                 "-DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON",  # add llama sdpa ops to pybindings.
                 "-DEXECUTORCH_BUILD_KERNELS_CUSTOM_AOT=ON",
+                "-DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON",  # add quantized ops to pybindings.
+                "-DEXECUTORCH_BUILD_KERNELS_QUANTIZED_AOT=ON",
             ]
             build_args += ["--target", "custom_ops_aot_lib"]
+            build_args += ["--target", "quantized_ops_aot_lib"]
         # Allow adding extra cmake args through the environment. Used by some
         # tests and demos to expand the set of targets included in the pip
         # package.
@@ -505,6 +563,14 @@ def run(self):
                 item for item in os.environ["CMAKE_BUILD_ARGS"].split(" ") if item
             ]
 
+        # CMAKE_BUILD_TYPE variable specifies the build type (configuration) for
+        # single-configuration generators (e.g., Makefile Generators or Ninja).
+        # For multi-config generators (like Visual Studio), CMAKE_BUILD_TYPE
+        # isn’t directly applicable.
+        # During the build step, --config specifies the configuration to build
+        # for multi-config generators.
+        build_args += ["--config", cfg]
+
         # Put the cmake cache under the temp directory, like
         # "pip-out/temp.<plat>/cmake-out".
         cmake_cache_dir = os.path.join(repo_root, self.build_temp, "cmake-out")
@@ -542,6 +608,8 @@ def run(self):
             "build/pip_data_bin_init.py.in",
             os.path.join(bin_dir, "__init__.py"),
         )
+        # Share the cmake-out location with _BaseExtension.
+        self.cmake_cache_dir = cmake_cache_dir
 
         # Finally, run the underlying subcommands like build_py, build_ext.
         build.run(self)
@@ -549,11 +617,15 @@ def run(self):
 
 def get_ext_modules() -> List[Extension]:
     """Returns the set of extension modules to build."""
-
     ext_modules = []
     if ShouldBuild.flatc():
         ext_modules.append(
-            BuiltFile("third-party/flatbuffers/flatc", "executorch/data/bin/")
+            BuiltFile(
+                src_dir="third-party/flatbuffers/%BUILD_TYPE%/",
+                src_name="flatc",
+                dst="executorch/data/bin/",
+                is_executable=True,
+            )
         )
 
     if ShouldBuild.pybindings():
@@ -567,10 +639,20 @@ def get_ext_modules() -> List[Extension]:
         )
     if ShouldBuild.llama_custom_ops():
         ext_modules.append(
-            # Install the prebuilt library for custom ops used in llama.
             BuiltFile(
-                "examples/models/llama2/custom_ops/libcustom_ops_aot_lib.*",
-                "executorch/examples/models/llama2/custom_ops",
+                src_dir="extension/llm/custom_ops/%BUILD_TYPE%/",
+                src_name="custom_ops_aot_lib",
+                dst="executorch/extension/llm/custom_ops",
+                is_dynamic_lib=True,
+            )
+        )
+        ext_modules.append(
+            # Install the prebuilt library for quantized ops required by custom ops.
+            BuiltFile(
+                src_dir="kernels/quantized/%BUILD_TYPE%/",
+                src_name="quantized_ops_aot_lib",
+                dst="executorch/kernels/quantized/",
+                is_dynamic_lib=True,
             )
         )
 
@@ -594,9 +676,10 @@ def get_ext_modules() -> List[Extension]:
         "executorch/examples/models": "examples/models",
         "executorch/exir": "exir",
         "executorch/extension": "extension",
+        "executorch/kernels/quantized": "kernels/quantized",
         "executorch/schema": "schema",
-        "executorch/sdk": "sdk",
-        "executorch/sdk/bundled_program": "sdk/bundled_program",
+        "executorch/devtools": "devtools",
+        "executorch/devtools/bundled_program": "devtools/bundled_program",
         "executorch/util": "util",
         # Note: This will install a top-level module called "serializer",
         # which seems too generic and might conflict with other pip packages.
diff --git a/shim/BUCK b/shim/BUCK
index 56fe035920..365a7bc076 100644
--- a/shim/BUCK
+++ b/shim/BUCK
@@ -1,3 +1,4 @@
+load("@prelude//platforms:defs.bzl", "execution_platform")
 load("@prelude//toolchains:cxx.bzl", "system_cxx_toolchain")
 load("@prelude//toolchains:genrule.bzl", "system_genrule_toolchain")
 load("@prelude//toolchains:go.bzl", "system_go_toolchain")
@@ -55,3 +56,21 @@ remote_test_execution_toolchain(
     name = "remote_test_execution",
     visibility = ["PUBLIC"],
 )
+
+execution_platform(
+    name = "android-arm64",
+    cpu_configuration = "prelude//cpu:arm64",
+    os_configuration = "prelude//os:android",
+    # REVIEW: not sure if this is correct
+    use_windows_path_separators = host_info().os.is_windows,
+    visibility = ["PUBLIC"],
+)
+
+execution_platform(
+    name = "android-x86_64",
+    cpu_configuration = "prelude//cpu:x86_64",
+    os_configuration = "prelude//os:android",
+    # REVIEW: not sure if this is correct
+    use_windows_path_separators = host_info().os.is_windows,
+    visibility = ["PUBLIC"],
+)
diff --git a/shim/README.md b/shim/README.md
deleted file mode 100644
index 7a83226e02..0000000000
--- a/shim/README.md
+++ /dev/null
@@ -1,4 +0,0 @@
-# Open Source Shim
-
-These files are a shim that allow us to build Buck2 with Buck2 outside Meta in
-the open source world.
diff --git a/shim/TARGETS b/shim/TARGETS
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/shim/antlir/fbpkg/fbpkg.bzl b/shim/antlir/fbpkg/fbpkg.bzl
deleted file mode 100644
index 21c0104326..0000000000
--- a/shim/antlir/fbpkg/fbpkg.bzl
+++ /dev/null
@@ -1,17 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-def _builder(**_):
-    pass
-
-def _buck_opts(**_):
-    pass
-
-fbpkg = struct(
-    builder = _builder,
-    buck_opts = _buck_opts,
-)
diff --git a/shim/buck2/buck_rust_binary.bzl b/shim/buck2/buck_rust_binary.bzl
deleted file mode 100644
index ebd0002621..0000000000
--- a/shim/buck2/buck_rust_binary.bzl
+++ /dev/null
@@ -1,13 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load(
-    "@shim//:shims.bzl",
-    _rust_binary = "rust_binary",
-)
-
-buck_rust_binary = _rust_binary
diff --git a/shim/buck2/proto_defs.bzl b/shim/buck2/proto_defs.bzl
deleted file mode 100644
index 468a3be310..0000000000
--- a/shim/buck2/proto_defs.bzl
+++ /dev/null
@@ -1,13 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load(
-    "@shim//:shims.bzl",
-    _rust_protobuf_library = "rust_protobuf_library",
-)
-
-rust_protobuf_library = _rust_protobuf_library
diff --git a/shim/build_defs/auto_headers.bzl b/shim/build_defs/auto_headers.bzl
deleted file mode 100644
index 0526041368..0000000000
--- a/shim/build_defs/auto_headers.bzl
+++ /dev/null
@@ -1,40 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@prelude//utils:buckconfig.bzl", "read_choice")
-
-AutoHeaders = struct(
-    NONE = "none",
-    # Uses a recursive glob to resolve all transitive headers under the given
-    # directory.
-    RECURSIVE_GLOB = "recursive_glob",
-    # Infer headers from sources of the rule.
-    SOURCES = "sources",
-)
-
-_VALUES = [
-    AutoHeaders.NONE,
-    AutoHeaders.RECURSIVE_GLOB,
-    AutoHeaders.SOURCES,
-]
-
-def get_auto_headers(auto_headers):
-    """
-    Returns the level of auto-headers to apply to a rule.
-
-    Args:
-        auto_headers: One of the values in `AutoHeaders`
-
-    Returns:
-        The value passed in as auto_headers, or the value from configuration if
-        `auto_headers` is None
-    """
-    if auto_headers != None:
-        if auto_headers not in _VALUES:
-            fail("unexpected `auto_headers` value: {!r}".format(auto_headers))
-        return auto_headers
-    return read_choice("cxx", "auto_headers", _VALUES, AutoHeaders.SOURCES)
diff --git a/shim/build_defs/config.bzl b/shim/build_defs/config.bzl
deleted file mode 100644
index cddd1a9789..0000000000
--- a/shim/build_defs/config.bzl
+++ /dev/null
@@ -1,13 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-def _get_build_mode():
-    return ""
-
-config = struct(
-    get_build_mode = _get_build_mode,
-)
diff --git a/shim/build_defs/cpp_benchmark.bzl b/shim/build_defs/cpp_benchmark.bzl
deleted file mode 100644
index 928f62d2c5..0000000000
--- a/shim/build_defs/cpp_benchmark.bzl
+++ /dev/null
@@ -1,9 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-def cpp_benchmark(**_):
-    pass
diff --git a/shim/build_defs/cpp_binary.bzl b/shim/build_defs/cpp_binary.bzl
deleted file mode 100644
index 89bf161e7b..0000000000
--- a/shim/build_defs/cpp_binary.bzl
+++ /dev/null
@@ -1,10 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//:shims.bzl", _cpp_binary = "cpp_binary")
-
-cpp_binary = _cpp_binary
diff --git a/shim/build_defs/cpp_library.bzl b/shim/build_defs/cpp_library.bzl
deleted file mode 100644
index d69787b947..0000000000
--- a/shim/build_defs/cpp_library.bzl
+++ /dev/null
@@ -1,10 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//:shims.bzl", _cpp_library = "cpp_library")
-
-cpp_library = _cpp_library
diff --git a/shim/build_defs/cpp_unittest.bzl b/shim/build_defs/cpp_unittest.bzl
deleted file mode 100644
index 2c4103ebd8..0000000000
--- a/shim/build_defs/cpp_unittest.bzl
+++ /dev/null
@@ -1,10 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//:shims.bzl", _cpp_unittest = "cpp_unittest")
-
-cpp_unittest = _cpp_unittest
diff --git a/shim/build_defs/custom_rule.bzl b/shim/build_defs/custom_rule.bzl
deleted file mode 100644
index 03aac5904f..0000000000
--- a/shim/build_defs/custom_rule.bzl
+++ /dev/null
@@ -1,9 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-def custom_rule(**_):
-    pass
diff --git a/shim/build_defs/custom_unittest.bzl b/shim/build_defs/custom_unittest.bzl
deleted file mode 100644
index f5aa4cf8f0..0000000000
--- a/shim/build_defs/custom_unittest.bzl
+++ /dev/null
@@ -1,9 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-def custom_unittest(**_):
-    pass
diff --git a/shim/build_defs/cython_library.bzl b/shim/build_defs/cython_library.bzl
deleted file mode 100644
index dac5b8bcae..0000000000
--- a/shim/build_defs/cython_library.bzl
+++ /dev/null
@@ -1,11 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//build_defs:python_library.bzl", "python_library")
-
-def cython_library(name, visibility = ["PUBLIC"], **_):
-    python_library(name = name, visibility = visibility)
diff --git a/shim/build_defs/export_files.bzl b/shim/build_defs/export_files.bzl
deleted file mode 100644
index 25ae03f628..0000000000
--- a/shim/build_defs/export_files.bzl
+++ /dev/null
@@ -1,15 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-def export_file(visibility = ["PUBLIC"], **kwargs):
-    # @lint-ignore BUCKLINT: avoid "native is forbidden in fbcode"
-    native.export_file(visibility = visibility, **kwargs)
-
-def export_files(files, visibility = ["PUBLIC"], **kwargs):
-    # @lint-ignore BUCKLINT: avoid "native is forbidden in fbcode"
-    for file in files:
-        native.export_file(name = file, visibility = visibility, **kwargs)
diff --git a/shim/build_defs/lib/python_common.bzl b/shim/build_defs/lib/python_common.bzl
deleted file mode 100644
index 44dc757468..0000000000
--- a/shim/build_defs/lib/python_common.bzl
+++ /dev/null
@@ -1,14 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-def get_ldflags(*args):
-    _unused = args  # @unused
-    return []
-
-def get_strip_mode(*args):
-    _unused = args  # @unused
-    return ""
diff --git a/shim/build_defs/ocaml_binary.bzl b/shim/build_defs/ocaml_binary.bzl
deleted file mode 100644
index 1530848e3d..0000000000
--- a/shim/build_defs/ocaml_binary.bzl
+++ /dev/null
@@ -1,10 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//:shims.bzl", _ocaml_binary = "ocaml_binary")
-
-ocaml_binary = _ocaml_binary
diff --git a/shim/build_defs/platform_utils.bzl b/shim/build_defs/platform_utils.bzl
deleted file mode 100644
index 2ea71572f9..0000000000
--- a/shim/build_defs/platform_utils.bzl
+++ /dev/null
@@ -1,11 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-def _get_cxx_platform_for_base_path(_base_path):
-    return struct(target_platform = None)
-
-platform_utils = struct(get_cxx_platform_for_base_path = _get_cxx_platform_for_base_path)
diff --git a/shim/build_defs/prebuilt_cpp_library.bzl b/shim/build_defs/prebuilt_cpp_library.bzl
deleted file mode 100644
index 97a0d8cf2e..0000000000
--- a/shim/build_defs/prebuilt_cpp_library.bzl
+++ /dev/null
@@ -1,10 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//:shims.bzl", _prebuilt_cpp_library = "prebuilt_cpp_library")
-
-prebuilt_cpp_library = _prebuilt_cpp_library
diff --git a/shim/build_defs/python_binary.bzl b/shim/build_defs/python_binary.bzl
deleted file mode 100644
index 5805fc30bd..0000000000
--- a/shim/build_defs/python_binary.bzl
+++ /dev/null
@@ -1,12 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-def python_binary(srcs = [], **kwargs):
-    _unused = srcs  # @unused
-
-    # @lint-ignore BUCKLINT: avoid "Direct usage of native rules is not allowed."
-    native.python_binary(**kwargs)
diff --git a/shim/build_defs/python_library.bzl b/shim/build_defs/python_library.bzl
deleted file mode 100644
index 3e62a5e910..0000000000
--- a/shim/build_defs/python_library.bzl
+++ /dev/null
@@ -1,12 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-def python_library(srcs = [], visibility = ["PUBLIC"], **kwargs):
-    _unused = srcs  # @unused
-
-    # @lint-ignore BUCKLINT: avoid "Direct usage of native rules is not allowed."
-    native.python_library(visibility = visibility, **kwargs)
diff --git a/shim/build_defs/python_unittest.bzl b/shim/build_defs/python_unittest.bzl
deleted file mode 100644
index 76bc3589b2..0000000000
--- a/shim/build_defs/python_unittest.bzl
+++ /dev/null
@@ -1,12 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-def python_unittest(srcs = [], **kwargs):
-    _unused = srcs  # @unused
-
-    # @lint-ignore BUCKLINT: avoid "Direct usage of native rules is not allowed."
-    native.python_test(**kwargs)
diff --git a/shim/build_defs/roar.bzl b/shim/build_defs/roar.bzl
deleted file mode 100644
index 0af590c133..0000000000
--- a/shim/build_defs/roar.bzl
+++ /dev/null
@@ -1,14 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@fbsource//tools/build_defs:buckconfig.bzl", "read_bool")
-
-def roar_no_jit():
-    use_roar_jit = read_bool("fbcode", "use_roar_jit", required = False)
-    if use_roar_jit:
-        return ["-fforce-no-jit"]
-    return []
diff --git a/shim/build_defs/rust_binary.bzl b/shim/build_defs/rust_binary.bzl
deleted file mode 100644
index d763f446cb..0000000000
--- a/shim/build_defs/rust_binary.bzl
+++ /dev/null
@@ -1,10 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//:shims.bzl", _rust_binary = "rust_binary")
-
-rust_binary = _rust_binary
diff --git a/shim/build_defs/rust_library.bzl b/shim/build_defs/rust_library.bzl
deleted file mode 100644
index fcd27bcf80..0000000000
--- a/shim/build_defs/rust_library.bzl
+++ /dev/null
@@ -1,10 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//:shims.bzl", _rust_library = "rust_library")
-
-rust_library = _rust_library
diff --git a/shim/build_defs/rust_unittest.bzl b/shim/build_defs/rust_unittest.bzl
deleted file mode 100644
index 8b0822fa82..0000000000
--- a/shim/build_defs/rust_unittest.bzl
+++ /dev/null
@@ -1,10 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//:shims.bzl", _rust_unittest = "rust_unittest")
-
-rust_unittest = _rust_unittest
diff --git a/shim/common/ocaml/interop/defs.bzl b/shim/common/ocaml/interop/defs.bzl
deleted file mode 100644
index 56d22fb5fa..0000000000
--- a/shim/common/ocaml/interop/defs.bzl
+++ /dev/null
@@ -1,10 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@root//defs.bzl", _RUST_FLAGS_2018 = "RUST_FLAGS_2018")
-
-RUST_FLAGS_2018 = _RUST_FLAGS_2018
diff --git a/shim/folly/io/async/test/certs/defs.bzl b/shim/folly/io/async/test/certs/defs.bzl
deleted file mode 100644
index 1a645059e2..0000000000
--- a/shim/folly/io/async/test/certs/defs.bzl
+++ /dev/null
@@ -1,23 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@fbcode_macros//build_defs:native_rules.bzl", "alias")
-
-def alias_pem(pems: list[str]):
-    for pem in pems:
-        alias(
-            name = pem,
-            actual = "//folly/io/async/test/certs:{pem}".format(pem = pem),
-        )
-
-def alias_pem_for_xplat(pems: list[str]):
-    # in xplat these pem files are exported in //xplat/folly/io/async/test
-    for pem in pems:
-        alias(
-            name = pem,
-            actual = "//xplat/folly/io/async/test:certs/{pem}".format(pem = pem),
-        )
diff --git a/shim/grpc_fb/codegen/buck_macros.bzl b/shim/grpc_fb/codegen/buck_macros.bzl
deleted file mode 100644
index ed51cb6935..0000000000
--- a/shim/grpc_fb/codegen/buck_macros.bzl
+++ /dev/null
@@ -1,10 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-def grpc_library(**kwargs):
-    _unused = kwargs  # @unused
-    pass
diff --git a/shim/lib/dicts.bzl b/shim/lib/dicts.bzl
deleted file mode 100644
index f702fa92c5..0000000000
--- a/shim/lib/dicts.bzl
+++ /dev/null
@@ -1,41 +0,0 @@
-# Copyright 2017 The Bazel Authors. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#    http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""Skylib module containing functions that operate on dictionaries."""
-
-def _add(*dictionaries):
-    """Returns a new `dict` that has all the entries of the given dictionaries.
-
-    If the same key is present in more than one of the input dictionaries, the
-    last of them in the argument list overrides any earlier ones.
-
-    This function is designed to take zero or one arguments as well as multiple
-    dictionaries, so that it follows arithmetic identities and callers can avoid
-    special cases for their inputs: the sum of zero dictionaries is the empty
-    dictionary, and the sum of a single dictionary is a copy of itself.
-
-    Args:
-      *dictionaries: Zero or more dictionaries to be added.
-
-    Returns:
-      A new `dict` that has all the entries of the given dictionaries.
-    """
-    result = {}
-    for d in dictionaries:
-        result.update(d)
-    return result
-
-dicts = struct(
-    add = _add,
-)
diff --git a/shim/lib/new_sets.bzl b/shim/lib/new_sets.bzl
deleted file mode 100644
index 47124d3fca..0000000000
--- a/shim/lib/new_sets.bzl
+++ /dev/null
@@ -1,236 +0,0 @@
-# Copyright 2018 The Bazel Authors. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#    http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""Skylib module containing common hash-set algorithms.
-
-  An empty set can be created using: `sets.make()`, or it can be created with some starting values
-  if you pass it an sequence: `sets.make([1, 2, 3])`. This returns a struct containing all of the
-  values as keys in a dictionary - this means that all passed in values must be hashable.  The
-  values in the set can be retrieved using `sets.to_list(my_set)`.
-"""
-
-load(":dicts.bzl", "dicts")
-
-def _make(elements = None):
-    """Creates a new set.
-
-    All elements must be hashable.
-
-    Args:
-      elements: Optional sequence to construct the set out of.
-
-    Returns:
-      A set containing the passed in values.
-    """
-    elements = elements if elements else []
-    return struct(_values = {e: None for e in elements})
-
-def _copy(s):
-    """Creates a new set from another set.
-
-    Args:
-      s: A set, as returned by `sets.make()`.
-
-    Returns:
-      A new set containing the same elements as `s`.
-    """
-    return struct(_values = dict(s._values))
-
-def _to_list(s):
-    """Creates a list from the values in the set.
-
-    Args:
-      s: A set, as returned by `sets.make()`.
-
-    Returns:
-      A list of values inserted into the set.
-    """
-    return list(s._values.keys())
-
-def _insert(s, e):
-    """Inserts an element into the set.
-
-    Element must be hashable.  This mutates the orginal set.
-
-    Args:
-      s: A set, as returned by `sets.make()`.
-      e: The element to be inserted.
-
-    Returns:
-       The set `s` with `e` included.
-    """
-    s._values[e] = None
-    return s
-
-def _remove(s, e):
-    """Removes an element from the set.
-
-    Element must be hashable.  This mutates the orginal set.
-
-    Args:
-      s: A set, as returned by `sets.make()`.
-      e: The element to be removed.
-
-    Returns:
-       The set `s` with `e` removed.
-    """
-    s._values.pop(e)
-    return s
-
-def _contains(a, e):
-    """Checks for the existence of an element in a set.
-
-    Args:
-      a: A set, as returned by `sets.make()`.
-      e: The element to look for.
-
-    Returns:
-      True if the element exists in the set, False if the element does not.
-    """
-    return e in a._values
-
-def _get_shorter_and_longer(a, b):
-    """Returns two sets in the order of shortest and longest.
-
-    Args:
-      a: A set, as returned by `sets.make()`.
-      b: A set, as returned by `sets.make()`.
-
-    Returns:
-      `a`, `b` if `a` is shorter than `b` - or `b`, `a` if `b` is shorter than `a`.
-    """
-    if _length(a) < _length(b):
-        return a, b
-    return b, a
-
-def _is_equal(a, b):
-    """Returns whether two sets are equal.
-
-    Args:
-      a: A set, as returned by `sets.make()`.
-      b: A set, as returned by `sets.make()`.
-
-    Returns:
-      True if `a` is equal to `b`, False otherwise.
-    """
-    return a._values == b._values
-
-def _is_subset(a, b):
-    """Returns whether `a` is a subset of `b`.
-
-    Args:
-      a: A set, as returned by `sets.make()`.
-      b: A set, as returned by `sets.make()`.
-
-    Returns:
-      True if `a` is a subset of `b`, False otherwise.
-    """
-    for e in a._values.keys():
-        if e not in b._values:
-            return False
-    return True
-
-def _disjoint(a, b):
-    """Returns whether two sets are disjoint.
-
-    Two sets are disjoint if they have no elements in common.
-
-    Args:
-      a: A set, as returned by `sets.make()`.
-      b: A set, as returned by `sets.make()`.
-
-    Returns:
-      True if `a` and `b` are disjoint, False otherwise.
-    """
-    shorter, longer = _get_shorter_and_longer(a, b)
-    for e in shorter._values.keys():
-        if e in longer._values:
-            return False
-    return True
-
-def _intersection(a, b):
-    """Returns the intersection of two sets.
-
-    Args:
-      a: A set, as returned by `sets.make()`.
-      b: A set, as returned by `sets.make()`.
-
-    Returns:
-      A set containing the elements that are in both `a` and `b`.
-    """
-    shorter, longer = _get_shorter_and_longer(a, b)
-    return struct(_values = {e: None for e in shorter._values.keys() if e in longer._values})
-
-def _union(*args):
-    """Returns the union of several sets.
-
-    Args:
-      *args: An arbitrary number of sets or lists.
-
-    Returns:
-      The set union of all sets or lists in `*args`.
-    """
-    return struct(_values = dicts.add(*[s._values for s in args]))
-
-def _difference(a, b):
-    """Returns the elements in `a` that are not in `b`.
-
-    Args:
-      a: A set, as returned by `sets.make()`.
-      b: A set, as returned by `sets.make()`.
-
-    Returns:
-      A set containing the elements that are in `a` but not in `b`.
-    """
-    return struct(_values = {e: None for e in a._values.keys() if e not in b._values})
-
-def _length(s):
-    """Returns the number of elements in a set.
-
-    Args:
-      s: A set, as returned by `sets.make()`.
-
-    Returns:
-      An integer representing the number of elements in the set.
-    """
-    return len(s._values)
-
-def _repr(s):
-    """Returns a string value representing the set.
-
-    Args:
-      s: A set, as returned by `sets.make()`.
-
-    Returns:
-      A string representing the set.
-    """
-    return repr(s._values.keys())
-
-sets = struct(
-    make = _make,
-    copy = _copy,
-    to_list = _to_list,
-    insert = _insert,
-    contains = _contains,
-    is_equal = _is_equal,
-    is_subset = _is_subset,
-    disjoint = _disjoint,
-    intersection = _intersection,
-    union = _union,
-    difference = _difference,
-    length = _length,
-    remove = _remove,
-    repr = _repr,
-    str = _repr,
-)
diff --git a/shim/lib/paths.bzl b/shim/lib/paths.bzl
deleted file mode 100644
index 8e3fcaea51..0000000000
--- a/shim/lib/paths.bzl
+++ /dev/null
@@ -1,242 +0,0 @@
-# Copyright 2017 The Bazel Authors. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#    http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""Skylib module containing file path manipulation functions.
-
-NOTE: The functions in this module currently only support paths with Unix-style
-path separators (forward slash, "/"); they do not handle Windows-style paths
-with backslash separators or drive letters.
-"""
-
-def _basename(p):
-    """Returns the basename (i.e., the file portion) of a path.
-
-    Note that if `p` ends with a slash, this function returns an empty string.
-    This matches the behavior of Python's `os.path.basename`, but differs from
-    the Unix `basename` command (which would return the path segment preceding
-    the final slash).
-
-    Args:
-      p: The path whose basename should be returned.
-
-    Returns:
-      The basename of the path, which includes the extension.
-    """
-    return p.rpartition("/")[-1]
-
-def _dirname(p):
-    """Returns the dirname of a path.
-
-    The dirname is the portion of `p` up to but not including the file portion
-    (i.e., the basename). Any slashes immediately preceding the basename are not
-    included, unless omitting them would make the dirname empty.
-
-    Args:
-      p: The path whose dirname should be returned.
-
-    Returns:
-      The dirname of the path.
-    """
-    prefix, sep, _ = p.rpartition("/")
-    if not prefix:
-        return sep
-    else:
-        # If there are multiple consecutive slashes, strip them all out as Python's
-        # os.path.dirname does.
-        return prefix.rstrip("/")
-
-def _is_absolute(path):
-    """Returns `True` if `path` is an absolute path.
-
-    Args:
-      path: A path (which is a string).
-
-    Returns:
-      `True` if `path` is an absolute path.
-    """
-    return path.startswith("/") or (len(path) > 2 and path[1] == ":")
-
-def _join(path, *others):
-    """Joins one or more path components intelligently.
-
-    This function mimics the behavior of Python's `os.path.join` function on POSIX
-    platform. It returns the concatenation of `path` and any members of `others`,
-    inserting directory separators before each component except the first. The
-    separator is not inserted if the path up until that point is either empty or
-    already ends in a separator.
-
-    If any component is an absolute path, all previous components are discarded.
-
-    Args:
-      path: A path segment.
-      *others: Additional path segments.
-
-    Returns:
-      A string containing the joined paths.
-    """
-    result = path
-
-    for p in others:
-        if _is_absolute(p):
-            result = p
-        elif not result or result.endswith("/"):
-            result += p
-        else:
-            result += "/" + p
-
-    return result
-
-def _normalize(path):
-    """Normalizes a path, eliminating double slashes and other redundant segments.
-
-    This function mimics the behavior of Python's `os.path.normpath` function on
-    POSIX platforms; specifically:
-
-    - If the entire path is empty, "." is returned.
-    - All "." segments are removed, unless the path consists solely of a single
-      "." segment.
-    - Trailing slashes are removed, unless the path consists solely of slashes.
-    - ".." segments are removed as long as there are corresponding segments
-      earlier in the path to remove; otherwise, they are retained as leading ".."
-      segments.
-    - Single and double leading slashes are preserved, but three or more leading
-      slashes are collapsed into a single leading slash.
-    - Multiple adjacent internal slashes are collapsed into a single slash.
-
-    Args:
-      path: A path.
-
-    Returns:
-      The normalized path.
-    """
-    if not path:
-        return "."
-
-    if path.startswith("//") and not path.startswith("///"):
-        initial_slashes = 2
-    elif path.startswith("/"):
-        initial_slashes = 1
-    else:
-        initial_slashes = 0
-    is_relative = (initial_slashes == 0)
-
-    components = path.split("/")
-    new_components = []
-
-    for component in components:
-        if component in ("", "."):
-            continue
-        if component == "..":
-            if new_components and new_components[-1] != "..":
-                # Only pop the last segment if it isn't another "..".
-                new_components.pop()
-            elif is_relative:
-                # Preserve leading ".." segments for relative paths.
-                new_components.append(component)
-        else:
-            new_components.append(component)
-
-    path = "/".join(new_components)
-    if not is_relative:
-        path = ("/" * initial_slashes) + path
-
-    return path or "."
-
-def _relativize(path, start):
-    """Returns the portion of `path` that is relative to `start`.
-
-    Because we do not have access to the underlying file system, this
-    implementation differs slightly from Python's `os.path.relpath` in that it
-    will fail if `path` is not beneath `start` (rather than use parent segments to
-    walk up to the common file system root).
-
-    Relativizing paths that start with parent directory references only works if
-    the path both start with the same initial parent references.
-
-    Args:
-      path: The path to relativize.
-      start: The ancestor path against which to relativize.
-
-    Returns:
-      The portion of `path` that is relative to `start`.
-    """
-    segments = _normalize(path).split("/")
-    start_segments = _normalize(start).split("/")
-    if start_segments == ["."]:
-        start_segments = []
-    start_length = len(start_segments)
-
-    if (path.startswith("/") != start.startswith("/") or
-        len(segments) < start_length):
-        fail("Path '%s' is not beneath '%s'" % (path, start))
-
-    for ancestor_segment, segment in zip(start_segments, segments):
-        if ancestor_segment != segment:
-            fail("Path '%s' is not beneath '%s'" % (path, start))
-
-    length = len(segments) - start_length
-    result_segments = segments[-length:]
-    return "/".join(result_segments)
-
-def _replace_extension(p, new_extension):
-    """Replaces the extension of the file at the end of a path.
-
-    If the path has no extension, the new extension is added to it.
-
-    Args:
-      p: The path whose extension should be replaced.
-      new_extension: The new extension for the file. The new extension should
-          begin with a dot if you want the new filename to have one.
-
-    Returns:
-      The path with the extension replaced (or added, if it did not have one).
-    """
-    return _split_extension(p)[0] + new_extension
-
-def _split_extension(p):
-    """Splits the path `p` into a tuple containing the root and extension.
-
-    Leading periods on the basename are ignored, so
-    `path.split_extension(".bashrc")` returns `(".bashrc", "")`.
-
-    Args:
-      p: The path whose root and extension should be split.
-
-    Returns:
-      A tuple `(root, ext)` such that the root is the path without the file
-      extension, and `ext` is the file extension (which, if non-empty, contains
-      the leading dot). The returned tuple always satisfies the relationship
-      `root + ext == p`.
-    """
-    b = _basename(p)
-    last_dot_in_basename = b.rfind(".")
-
-    # If there is no dot or the only dot in the basename is at the front, then
-    # there is no extension.
-    if last_dot_in_basename <= 0:
-        return (p, "")
-
-    dot_distance_from_end = len(b) - last_dot_in_basename
-    return (p[:-dot_distance_from_end], p[-dot_distance_from_end:])
-
-paths = struct(
-    basename = _basename,
-    dirname = _dirname,
-    is_absolute = _is_absolute,
-    join = _join,
-    normalize = _normalize,
-    relativize = _relativize,
-    replace_extension = _replace_extension,
-    split_extension = _split_extension,
-)
diff --git a/shim/lib/shell.bzl b/shim/lib/shell.bzl
deleted file mode 100644
index 3e22ffaeb7..0000000000
--- a/shim/lib/shell.bzl
+++ /dev/null
@@ -1,63 +0,0 @@
-# Copyright 2017 The Bazel Authors. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#    http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""Skylib module containing shell utility functions."""
-
-def _array_literal(iterable):
-    """Creates a string from a sequence that can be used as a shell array.
-
-    For example, `shell.array_literal(["a", "b", "c"])` would return the string
-    `("a" "b" "c")`, which can be used in a shell script wherever an array
-    literal is needed.
-
-    Note that all elements in the array are quoted (using `shell.quote`) for
-    safety, even if they do not need to be.
-
-    Args:
-      iterable: A sequence of elements. Elements that are not strings will be
-          converted to strings first, by calling `str()`.
-
-    Returns:
-      A string that represents the sequence as a shell array; that is,
-      parentheses containing the quoted elements.
-    """
-    return "(" + " ".join([_quote(str(i)) for i in iterable]) + ")"
-
-def _quote(s):
-    """Quotes the given string for use in a shell command.
-
-    This function quotes the given string (in case it contains spaces or other
-    shell metacharacters.)
-
-    Args:
-      s: The string to quote.
-
-    Returns:
-      A quoted version of the string that can be passed to a shell command.
-    """
-    return "'" + s.replace("'", "'\\''") + "'"
-
-def _powershell_quote(s):
-    """Quoting multiline strings for Powershell.
-    References:
-     1. https://learn.microsoft.com/en-us/powershell/module/microsoft.powershell.core/about/about_special_characters?view=powershell-7.4
-     2. https://learn.microsoft.com/en-us/powershell/module/microsoft.powershell.core/about/about_quoting_rules?view=powershell-7.4
-    """
-    return s.replace("`", "``").replace("\n", "`n").replace('"', '""').replace("$", "`$")
-
-shell = struct(
-    array_literal = _array_literal,
-    quote = _quote,
-    powershell_quote = _powershell_quote,
-)
diff --git a/shim/shims.bzl b/shim/shims.bzl
deleted file mode 100644
index 242e9d174c..0000000000
--- a/shim/shims.bzl
+++ /dev/null
@@ -1,460 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@bazel_skylib//lib:new_sets.bzl", "sets")
-load("@bazel_skylib//lib:paths.bzl", "paths")
-load("@prelude//utils:selects.bzl", "selects")
-# @lint-ignore-every FBCODEBZLADDLOADS
-
-load("@prelude//utils:type_defs.bzl", "is_list", "is_select", "is_tuple")
-load("@shim//build_defs:auto_headers.bzl", "AutoHeaders", "get_auto_headers")
-
-prelude = native
-
-_C_SOURCE_EXTS = (
-    ".c",
-)
-
-_CPP_SOURCE_EXTS = (
-    ".cc",
-    ".cpp",
-)
-
-_SOURCE_EXTS = _C_SOURCE_EXTS + _CPP_SOURCE_EXTS
-
-# These header suffixes are used to logically group C/C++ source (e.g.
-# `foo/Bar.cpp`) with headers with the following suffixes (e.g. `foo/Bar.h` and
-# `foo/Bar-inl.tcc`), such that the source provides all implementation for
-# methods/classes declared in the headers.
-#
-# This is important for a couple reasons:
-# 1) Automatic dependencies: Tooling can use this property to automatically
-#    manage TARGETS dependencies by extracting `#include` references in sources
-#    and looking up the rules which "provide" them.
-# 2) Modules: This logical group can be combined into a standalone C/C++ module
-#    (when such support is available).
-_HEADER_SUFFIXES = (
-    ".h",
-    ".hpp",
-    ".tcc",
-    "-inl.h",
-    "-inl.hpp",
-    "-inl.tcc",
-    "-defs.h",
-    "-defs.hpp",
-    "-defs.tcc",
-)
-
-def _get_headers_from_sources(srcs):
-    """
-    Return the headers likely associated with the given sources
-
-    Args:
-        srcs: A list of strings representing files or build targets
-
-    Returns:
-        A list of header files corresponding to the list of sources. These files are
-        validated to exist based on glob()
-    """
-    split_srcs = [
-        paths.split_extension(src_filename)
-        for src_filename in [_get_src_filename(src) for src in srcs]
-        if "//" not in src_filename and not src_filename.startswith(":")
-    ]
-
-    # For e.g. foo.cpp grab a glob on foo.h, foo-inl.h, etc
-    headers = [
-        base + header_ext
-        for base, ext in split_srcs
-        if ext in _SOURCE_EXTS
-        for header_ext in _HEADER_SUFFIXES
-    ]
-
-    # Avoid a warning for an empty glob pattern if there are no headers.
-    return glob(headers) if headers else []
-
-def _get_src_filename(src):
-    """
-    Return filename from a potentilly tuple value entry in srcs attribute
-    """
-
-    if is_tuple(src):
-        s, _ = src
-        return s
-    return src
-
-def _update_headers_with_src_headers(src_headers, out_headers):
-    """
-    Helper function to update raw headers with headers from srcs
-    """
-    src_headers = sets.to_list(sets.difference(src_headers, sets.make(out_headers)))
-
-    # Looks simple, right? But if a header is explicitly added in, say, a
-    # dictionary mapping, we want to make sure to keep the original mapping
-    # and drop the F -> F mapping
-    if is_list(out_headers):
-        out_headers.extend(sorted(src_headers))
-    else:
-        # Let it throw AttributeError if update() can't be found neither
-        out_headers.update({k: k for k in src_headers})
-    return out_headers
-
-def prebuilt_cpp_library(
-        headers = None,
-        linker_flags = None,
-        private_linker_flags = None,
-        **kwargs):
-    prelude.prebuilt_cxx_library(
-        exported_headers = headers,
-        exported_linker_flags = linker_flags,
-        linker_flags = private_linker_flags,
-        **kwargs
-    )
-
-def cpp_library(
-        name,
-        deps = [],
-        srcs = [],
-        external_deps = [],
-        exported_deps = [],
-        exported_external_deps = [],
-        undefined_symbols = None,
-        visibility = ["PUBLIC"],
-        auto_headers = None,
-        arch_preprocessor_flags = None,
-        modular_headers = None,
-        os_deps = [],
-        arch_compiler_flags = None,
-        tags = None,
-        linker_flags = None,
-        private_linker_flags = None,
-        exported_linker_flags = None,
-        headers = None,
-        private_headers = None,
-        propagated_pp_flags = (),
-        **kwargs):
-    base_path = native.package_name()
-    oss_depends_on_folly = read_config("oss_depends_on", "folly", False)
-    header_base_path = base_path
-    if oss_depends_on_folly and header_base_path.startswith("folly"):
-        header_base_path = header_base_path.replace("folly/", "", 1)
-
-    _unused = (undefined_symbols, arch_preprocessor_flags, modular_headers, arch_compiler_flags, tags, propagated_pp_flags)  # @unused
-    if os_deps:
-        deps += _select_os_deps(_fix_dict_deps(os_deps))
-    if headers == None:
-        headers = []
-    if tags != None and "oss_dependency" in tags:
-        if oss_depends_on_folly:
-            headers = [item.replace("//:", "//folly:") if item == "//:folly-config.h" else item for item in headers]
-    if is_select(srcs) and auto_headers == AutoHeaders.SOURCES:
-        # Validate `srcs` and `auto_headers` before the config check
-        fail(
-            "//{}:{}: `select` srcs cannot support AutoHeaders.SOURCES".format(base_path, name),
-        )
-    auto_headers = get_auto_headers(auto_headers)
-    if auto_headers == AutoHeaders.SOURCES and not is_select(srcs):
-        src_headers = sets.make(_get_headers_from_sources(srcs))
-        if private_headers:
-            src_headers = sets.difference(src_headers, sets.make(private_headers))
-
-        headers = selects.apply(
-            headers,
-            partial(_update_headers_with_src_headers, src_headers),
-        )
-    if not is_select(linker_flags):
-        linker_flags = linker_flags or []
-        linker_flags = list(linker_flags)
-        if exported_linker_flags != None:
-            linker_flags += exported_linker_flags
-    prelude.cxx_library(
-        name = name,
-        srcs = srcs,
-        deps = _maybe_select_map(deps + external_deps_to_targets(external_deps), _fix_deps),
-        exported_deps = _maybe_select_map(exported_deps + external_deps_to_targets(exported_external_deps), _fix_deps),
-        visibility = visibility,
-        preferred_linkage = "static",
-        exported_headers = headers,
-        headers = private_headers,
-        exported_linker_flags = linker_flags,
-        linker_flags = private_linker_flags,
-        header_namespace = header_base_path,
-        **kwargs
-    )
-
-def cpp_unittest(
-        deps = [],
-        external_deps = [],
-        visibility = ["PUBLIC"],
-        supports_static_listing = None,
-        allocator = None,
-        owner = None,
-        tags = None,
-        emails = None,
-        extract_helper_lib = None,
-        compiler_specific_flags = None,
-        default_strip_mode = None,
-        srcs = [],
-        **kwargs):
-    _unused = (supports_static_listing, allocator, owner, tags, emails, extract_helper_lib, compiler_specific_flags, default_strip_mode)  # @unused
-    srcs = srcs + ["shim//third-party/googletest:gtest_main.cpp"]
-    prelude.cxx_test(
-        deps = _maybe_select_map(deps + external_deps_to_targets(external_deps), _fix_deps),
-        visibility = visibility,
-        srcs = srcs,
-        **kwargs
-    )
-
-def cpp_binary(
-        deps = [],
-        external_deps = [],
-        visibility = ["PUBLIC"],
-        dlopen_enabled = None,
-        compiler_specific_flags = None,
-        os_linker_flags = None,
-        allocator = None,
-        modules = None,
-        **kwargs):
-    _unused = (dlopen_enabled, compiler_specific_flags, os_linker_flags, allocator, modules)  # @unused
-    prelude.cxx_binary(
-        deps = _maybe_select_map(deps + external_deps_to_targets(external_deps), _fix_deps),
-        visibility = visibility,
-        **kwargs
-    )
-
-def rust_library(
-        rustc_flags = [],
-        deps = [],
-        named_deps = None,
-        os_deps = None,
-        test_deps = None,
-        test_env = None,
-        test_os_deps = None,
-        autocargo = None,
-        unittests = None,
-        mapped_srcs = {},
-        visibility = ["PUBLIC"],
-        **kwargs):
-    _unused = (test_deps, test_env, test_os_deps, named_deps, autocargo, unittests, visibility)  # @unused
-    deps = _maybe_select_map(deps, _fix_deps)
-    mapped_srcs = _maybe_select_map(mapped_srcs, _fix_mapped_srcs)
-    if os_deps:
-        deps += _select_os_deps(_fix_dict_deps(os_deps))
-
-    # Reset visibility because internal and external paths are different.
-    visibility = ["PUBLIC"]
-
-    prelude.rust_library(
-        rustc_flags = rustc_flags + [_CFG_BUCK_BUILD],
-        deps = deps,
-        visibility = visibility,
-        mapped_srcs = mapped_srcs,
-        **kwargs
-    )
-
-def rust_binary(
-        rustc_flags = [],
-        deps = [],
-        autocargo = None,
-        unittests = None,
-        allocator = None,
-        default_strip_mode = None,
-        visibility = ["PUBLIC"],
-        **kwargs):
-    _unused = (unittests, allocator, default_strip_mode, autocargo)  # @unused
-    deps = _maybe_select_map(deps, _fix_deps)
-
-    # @lint-ignore BUCKLINT: avoid "Direct usage of native rules is not allowed."
-    prelude.rust_binary(
-        rustc_flags = rustc_flags + [_CFG_BUCK_BUILD],
-        deps = deps,
-        visibility = visibility,
-        **kwargs
-    )
-
-def rust_unittest(
-        rustc_flags = [],
-        deps = [],
-        visibility = ["PUBLIC"],
-        **kwargs):
-    deps = _maybe_select_map(deps, _fix_deps)
-
-    prelude.rust_test(
-        rustc_flags = rustc_flags + [_CFG_BUCK_BUILD],
-        deps = deps,
-        visibility = visibility,
-        **kwargs
-    )
-
-def rust_protobuf_library(
-        name,
-        srcs,
-        build_script,
-        protos,
-        build_env = None,
-        deps = [],
-        test_deps = None,
-        doctests = True):
-    if build_env:
-        build_env = {
-            k: _fix_dep_in_string(v)
-            for k, v in build_env.items()
-        }
-
-    build_name = name + "-build"
-    proto_name = name + "-proto"
-
-    rust_binary(
-        name = build_name,
-        srcs = [build_script],
-        crate_root = build_script,
-        deps = [
-            "fbsource//third-party/rust:tonic-build",
-            "//buck2/app/buck2_protoc_dev:buck2_protoc_dev",
-        ],
-    )
-
-    build_env = build_env or {}
-    build_env.update(
-        {
-            "PROTOC": "$(exe buck//third-party/proto:protoc)",
-            "PROTOC_INCLUDE": "$(location buck//third-party/proto:google_protobuf)",
-        },
-    )
-
-    prelude.genrule(
-        name = proto_name,
-        srcs = protos + [
-            "buck//third-party/proto:google_protobuf",
-        ],
-        out = ".",
-        cmd = "$(exe :" + build_name + ")",
-        env = build_env,
-    )
-
-    rust_library(
-        name = name,
-        srcs = srcs,
-        doctests = doctests,
-        env = {
-            # This is where prost looks for generated .rs files
-            "OUT_DIR": "$(location :{})".format(proto_name),
-        },
-        test_deps = test_deps,
-        deps = [
-            "fbsource//third-party/rust:prost",
-            "fbsource//third-party/rust:prost-types",
-        ] + (deps or []),
-    )
-
-    # For python tests only
-    for proto in protos:
-        prelude.export_file(
-            name = proto,
-            visibility = ["PUBLIC"],
-        )
-
-def ocaml_binary(
-        deps = [],
-        visibility = ["PUBLIC"],
-        **kwargs):
-    deps = _maybe_select_map(deps, _fix_deps)
-
-    prelude.ocaml_binary(
-        deps = deps,
-        visibility = visibility,
-        **kwargs
-    )
-
-_CFG_BUCK_BUILD = "--cfg=buck_build"
-
-def _maybe_select_map(v, mapper):
-    if is_select(v):
-        return select_map(v, mapper)
-    return mapper(v)
-
-def _select_os_deps(xss) -> Select:
-    d = {
-        "prelude//os:" + os: xs
-        for os, xs in xss
-    }
-    d["DEFAULT"] = []
-    return select(d)
-
-def _fix_dict_deps(xss):
-    return [
-        (k, _fix_deps(xs))
-        for k, xs in xss
-    ]
-
-def _fix_mapped_srcs(xs: dict[str, str]):
-    # For reasons, this is source -> file path, which is the opposite of what
-    # it should be.
-    return {_fix_dep(k): v for (k, v) in xs.items()}
-
-def _fix_deps(xs):
-    if is_select(xs):
-        return xs
-    return filter(None, map(_fix_dep, xs))
-
-def _fix_dep(x: str) -> [
-    None,
-    str,
-]:
-    if x == "//common/rust/shed/fbinit:fbinit":
-        return "fbsource//third-party/rust:fbinit"
-    elif x == "//common/rust/shed/sorted_vector_map:sorted_vector_map":
-        return "fbsource//third-party/rust:sorted_vector_map"
-    elif x == "//watchman/rust/watchman_client:watchman_client":
-        return "fbsource//third-party/rust:watchman_client"
-    elif x.startswith("fbsource//third-party/rust:") or x.startswith(":"):
-        return x
-    elif x.startswith("//buck2/facebook/"):
-        return None
-    elif x.startswith("//buck2/"):
-        return "root//" + x.removeprefix("//buck2/")
-    elif x.startswith("fbcode//common/ocaml/interop/"):
-        return "root//" + x.removeprefix("fbcode//common/ocaml/interop/")
-    elif x.startswith("fbcode//third-party-buck/platform010/build/supercaml"):
-        return "shim//third-party/ocaml" + x.removeprefix("fbcode//third-party-buck/platform010/build/supercaml")
-    elif x.startswith("fbcode//third-party-buck/platform010/build"):
-        return "shim//third-party" + x.removeprefix("fbcode//third-party-buck/platform010/build")
-    elif x.startswith("fbsource//third-party"):
-        return "shim//third-party" + x.removeprefix("fbsource//third-party")
-    elif x.startswith("third-party//"):
-        return "shim//third-party/" + x.removeprefix("third-party//")
-    elif x.startswith("//folly"):
-        oss_depends_on_folly = read_config("oss_depends_on", "folly", False)
-        if oss_depends_on_folly:
-            return "root//folly/" + x.removeprefix("//")
-        return "root//" + x.removeprefix("//")
-    elif x.startswith("root//folly"):
-        return x
-    elif x.startswith("//fizz"):
-        return "root//" + x.removeprefix("//")
-    elif x.startswith("shim//"):
-        return x
-    else:
-        fail("Dependency is unaccounted for `{}`.\n".format(x) +
-             "Did you forget 'oss-disable'?")
-
-def _fix_dep_in_string(x: str) -> str:
-    """Replace internal labels in string values such as env-vars."""
-    return (x
-        .replace("//buck2/", "root//"))
-
-# Do a nasty conversion of e.g. ("supercaml", None, "ocaml-dev") to
-# 'fbcode//third-party-buck/platform010/build/supercaml:ocaml-dev'
-# (which will then get mapped to `shim//third-party/ocaml:ocaml-dev`).
-def external_dep_to_target(t):
-    if type(t) == type(()):
-        return "fbcode//third-party-buck/platform010/build/{}:{}".format(t[0], t[2])
-    else:
-        return "fbcode//third-party-buck/platform010/build/{}:{}".format(t, t)
-
-def external_deps_to_targets(ts):
-    return [external_dep_to_target(t) for t in ts]
diff --git a/shim/target_determinator/macros/ci.bzl b/shim/target_determinator/macros/ci.bzl
deleted file mode 100644
index 0c02e6fc3a..0000000000
--- a/shim/target_determinator/macros/ci.bzl
+++ /dev/null
@@ -1,28 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-# https://internalfb.com/code/fbsource/fbcode/target_determinator/macros/README.md
-
-def _lbl(*_args):
-    return ""
-
-def _package(
-        _values,
-        # starlark-lint-disable unused-argument
-        overwrite = False):  # @unused
-    pass
-
-ci = struct(
-    package = _package,
-    linux = _lbl,
-    mac = _lbl,
-    windows = _lbl,
-    skip_test = _lbl,
-    aarch64 = _lbl,
-    mode = _lbl,
-    opt = _lbl,
-)
diff --git a/shim/third-party/binutils/BUCK b/shim/third-party/binutils/BUCK
deleted file mode 100644
index 1beb6561db..0000000000
--- a/shim/third-party/binutils/BUCK
+++ /dev/null
@@ -1,14 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "iberty",
-)
diff --git a/shim/third-party/boost/BUCK b/shim/third-party/boost/BUCK
deleted file mode 100644
index c2033cba35..0000000000
--- a/shim/third-party/boost/BUCK
+++ /dev/null
@@ -1,38 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-load("@shim//third-party/boost:boost.bzl", "boost_libs")
-
-oncall("open_source")
-
-boost_libs([
-    "container",
-    "range",
-    "algorithm",
-    "regex",
-    "program_options",
-    "filesystem",
-    "multi_index",
-    "context",
-    "variant",
-    "lexical_cast",
-    "random",
-    "sort",
-    "interprocess",
-])
-
-# Empty target to satisfy some build rules:
-third_party_library(
-    name = "boost_preprocessor",
-    homebrew_package_name = "boost",
-)
-
-third_party_library(
-    name = "boost_thread",
-    homebrew_package_name = "boost",
-)
diff --git a/shim/third-party/boost/boost.bzl b/shim/third-party/boost/boost.bzl
deleted file mode 100644
index 51a8aef411..0000000000
--- a/shim/third-party/boost/boost.bzl
+++ /dev/null
@@ -1,21 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-def boost_libs(xs):
-    third_party_library(
-        name = "boost",
-        ubuntu_package_name = "libboost-all-dev",
-        homebrew_package_name = "boost",
-    )
-    for x in xs:
-        third_party_library(
-            name = "boost_{}".format(x),
-            homebrew_package_name = "boost",
-            homebrew_linker_flags = ["-lboost_{}".format(x)],
-        )
diff --git a/shim/third-party/brotli/BUCK b/shim/third-party/brotli/BUCK
deleted file mode 100644
index 94da07c9d1..0000000000
--- a/shim/third-party/brotli/BUCK
+++ /dev/null
@@ -1,22 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "brotli_decode",
-    homebrew_package_name = "brotli",
-    pkgconfig_name = "libbrotlidec",
-)
-
-third_party_library(
-    name = "brotli_encode",
-    homebrew_package_name = "brotli",
-    pkgconfig_name = "libbrotlienc",
-)
diff --git a/shim/third-party/bzip2/BUCK b/shim/third-party/bzip2/BUCK
deleted file mode 100644
index 8c97c210f1..0000000000
--- a/shim/third-party/bzip2/BUCK
+++ /dev/null
@@ -1,15 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "bz2",
-    homebrew_package_name = "bzip2",
-)
diff --git a/shim/third-party/double_conversion/BUCK b/shim/third-party/double_conversion/BUCK
deleted file mode 100644
index 77f4ecdc3a..0000000000
--- a/shim/third-party/double_conversion/BUCK
+++ /dev/null
@@ -1,16 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "double_conversion",
-    homebrew_linker_flags = ["-ldouble-conversion"],
-    homebrew_package_name = "double-conversion",
-)
diff --git a/shim/third-party/fmt/BUCK b/shim/third-party/fmt/BUCK
deleted file mode 100644
index 13e98e8832..0000000000
--- a/shim/third-party/fmt/BUCK
+++ /dev/null
@@ -1,16 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "fmt",
-    homebrew_package_name = "fmt",
-    pkgconfig_name = "fmt",
-)
diff --git a/shim/third-party/gflags/BUCK b/shim/third-party/gflags/BUCK
deleted file mode 100644
index 9251d18ee5..0000000000
--- a/shim/third-party/gflags/BUCK
+++ /dev/null
@@ -1,16 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "gflags",
-    homebrew_package_name = "gflags",
-    pkgconfig_name = "gflags",
-)
diff --git a/shim/third-party/glibc/BUCK b/shim/third-party/glibc/BUCK
deleted file mode 100644
index eb46aa0cb7..0000000000
--- a/shim/third-party/glibc/BUCK
+++ /dev/null
@@ -1,36 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//build_defs:prebuilt_cpp_library.bzl", "prebuilt_cpp_library")
-
-oncall("open_source")
-
-prebuilt_cpp_library(name = "glibc")
-
-alias(
-    name = "rt",
-    actual = ":glibc",
-    visibility = ["PUBLIC"],
-)
-
-alias(
-    name = "ct",
-    actual = ":glibc",
-    visibility = ["PUBLIC"],
-)
-
-alias(
-    name = "dl",
-    actual = ":glibc",
-    visibility = ["PUBLIC"],
-)
-
-alias(
-    name = "pthread",
-    actual = ":glibc",
-    visibility = ["PUBLIC"],
-)
diff --git a/shim/third-party/glog/BUCK b/shim/third-party/glog/BUCK
deleted file mode 100644
index adf3bce681..0000000000
--- a/shim/third-party/glog/BUCK
+++ /dev/null
@@ -1,18 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "glog",
-    homebrew_package_name = "glog",
-    pkgconfig_name = "libglog",
-    ubuntu_package_name = "libgoogle-glog-dev",
-    deps = ["shim//third-party/gflags:gflags"],
-)
diff --git a/shim/third-party/googletest/BUCK b/shim/third-party/googletest/BUCK
deleted file mode 100644
index dbd3249578..0000000000
--- a/shim/third-party/googletest/BUCK
+++ /dev/null
@@ -1,27 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//build_defs:export_files.bzl", "export_file")
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "gtest",
-    homebrew_package_name = "googletest",
-    pkgconfig_name = "GTest",
-)
-
-alias(
-    name = "gmock",
-    actual = ":gtest",
-    visibility = ["PUBLIC"],
-)
-
-export_file(
-    name = "gtest_main.cpp",
-)
diff --git a/shim/third-party/googletest/gtest_main.cpp b/shim/third-party/googletest/gtest_main.cpp
deleted file mode 100644
index 8141caf4ca..0000000000
--- a/shim/third-party/googletest/gtest_main.cpp
+++ /dev/null
@@ -1,66 +0,0 @@
-// Copyright 2006, Google Inc.
-// All rights reserved.
-//
-// Redistribution and use in source and binary forms, with or without
-// modification, are permitted provided that the following conditions are
-// met:
-//
-//     * Redistributions of source code must retain the above copyright
-// notice, this list of conditions and the following disclaimer.
-//     * Redistributions in binary form must reproduce the above
-// copyright notice, this list of conditions and the following disclaimer
-// in the documentation and/or other materials provided with the
-// distribution.
-//     * Neither the name of Google Inc. nor the names of its
-// contributors may be used to endorse or promote products derived from
-// this software without specific prior written permission.
-//
-// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
-// A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
-// OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
-// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
-// LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
-// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
-// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
-// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-
-#include <cstdio>
-
-#include "gtest/gtest.h"
-
-#if defined(GTEST_OS_ESP8266) || defined(GTEST_OS_ESP32) || \
-    (defined(GTEST_OS_NRF52) && defined(ARDUINO))
-// Arduino-like platforms: program entry points are setup/loop instead of main.
-
-#ifdef GTEST_OS_ESP8266
-extern "C" {
-#endif
-
-void setup() { testing::InitGoogleTest(); }
-
-void loop() { RUN_ALL_TESTS(); }
-
-#ifdef GTEST_OS_ESP8266
-}
-#endif
-
-#elif defined(GTEST_OS_QURT)
-// QuRT: program entry point is main, but argc/argv are unusable.
-
-GTEST_API_ int main() {
-  printf("Running main() from %s\n", __FILE__);
-  testing::InitGoogleTest();
-  return RUN_ALL_TESTS();
-}
-#else
-// Normal platforms: program entry point is main, argc/argv are initialized.
-
-GTEST_API_ int main(int argc, char **argv) {
-  printf("Running main() from %s\n", __FILE__);
-  testing::InitGoogleTest(&argc, argv);
-  return RUN_ALL_TESTS();
-}
-#endif
diff --git a/shim/third-party/jemalloc/BUCK b/shim/third-party/jemalloc/BUCK
deleted file mode 100644
index 16cb5b4ca3..0000000000
--- a/shim/third-party/jemalloc/BUCK
+++ /dev/null
@@ -1,16 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "headers",
-    homebrew_package_name = "jemalloc",
-    pkgconfig_name = "jemalloc",
-)
diff --git a/shim/third-party/jvm/BUCK b/shim/third-party/jvm/BUCK
deleted file mode 100644
index 9de6e20cf2..0000000000
--- a/shim/third-party/jvm/BUCK
+++ /dev/null
@@ -1,15 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "jvm",
-    homebrew_package_name = "openjdk",
-)
diff --git a/shim/third-party/libaegis/BUCK b/shim/third-party/libaegis/BUCK
deleted file mode 100644
index 8ac657a171..0000000000
--- a/shim/third-party/libaegis/BUCK
+++ /dev/null
@@ -1,15 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "aegis",
-    pkgconfig_name = "libaegis",
-)
diff --git a/shim/third-party/libaio/BUCK b/shim/third-party/libaio/BUCK
deleted file mode 100644
index 0378186541..0000000000
--- a/shim/third-party/libaio/BUCK
+++ /dev/null
@@ -1,14 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "aio",
-)
diff --git a/shim/third-party/libdwarf/BUCK b/shim/third-party/libdwarf/BUCK
deleted file mode 100644
index 93c867f38b..0000000000
--- a/shim/third-party/libdwarf/BUCK
+++ /dev/null
@@ -1,16 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "dwarf",
-    homebrew_package_name = "libdwarf",
-    pkgconfig_name = "libdwarf",
-)
diff --git a/shim/third-party/libevent/BUCK b/shim/third-party/libevent/BUCK
deleted file mode 100644
index a196c6e2d0..0000000000
--- a/shim/third-party/libevent/BUCK
+++ /dev/null
@@ -1,16 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "libevent",
-    pkgconfig_name = "libevent",
-    ubuntu_package_name = "libevent-dev",
-)
diff --git a/shim/third-party/libgcc/BUCK b/shim/third-party/libgcc/BUCK
deleted file mode 100644
index 66aa52840b..0000000000
--- a/shim/third-party/libgcc/BUCK
+++ /dev/null
@@ -1,15 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "stdc++fs",
-    homebrew_package_name = "gcc",
-)
diff --git a/shim/third-party/liboqs/BUCK b/shim/third-party/liboqs/BUCK
deleted file mode 100644
index c5a3d051ef..0000000000
--- a/shim/third-party/liboqs/BUCK
+++ /dev/null
@@ -1,16 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "oqs",
-    homebrew_package_name = "liboqs",
-    pkgconfig_name = "liboqs",
-)
diff --git a/shim/third-party/libsodium/BUCK b/shim/third-party/libsodium/BUCK
deleted file mode 100644
index 29c6deeab1..0000000000
--- a/shim/third-party/libsodium/BUCK
+++ /dev/null
@@ -1,17 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "sodium",
-    homebrew_package_name = "libsodium",
-    pkgconfig_name = "libsodium",
-    ubuntu_package_name = "libsodium-dev",
-)
diff --git a/shim/third-party/libunwind/BUCK b/shim/third-party/libunwind/BUCK
deleted file mode 100644
index f7f8d20672..0000000000
--- a/shim/third-party/libunwind/BUCK
+++ /dev/null
@@ -1,16 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "unwind",
-    pkgconfig_name = "libunwind",
-    ubuntu_package_name = "libunwind-dev",
-)
diff --git a/shim/third-party/lz4/BUCK b/shim/third-party/lz4/BUCK
deleted file mode 100644
index 8d321b0b18..0000000000
--- a/shim/third-party/lz4/BUCK
+++ /dev/null
@@ -1,15 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "lz4",
-    pkgconfig_name = "liblz4",
-)
diff --git a/shim/third-party/macros/rust_third_party.bzl b/shim/third-party/macros/rust_third_party.bzl
deleted file mode 100644
index f6a0bd3d22..0000000000
--- a/shim/third-party/macros/rust_third_party.bzl
+++ /dev/null
@@ -1,11 +0,0 @@
-# @nolint
-
-def third_party_rust_prebuilt_cxx_library(name, **kwargs):
-    # FIXME: This should probably be a fixup.toml, but it currently can't be expressed.
-    # The windows-sys crate does -lwindows to find windows. We pass libwindows.a on the command line,
-    # which resolves the symbols, but the linker still needs to "find" windows, so we also put its
-    # directory on the link options.
-    if name.endswith("libwindows.a"):
-        kwargs["exported_linker_flags"] = ["-Lshim/third-party/rust/" + kwargs["static_lib"].rpartition("/")[0]]
-
-    native.prebuilt_cxx_library(name = name, **kwargs)
diff --git a/shim/third-party/ocaml/BUCK b/shim/third-party/ocaml/BUCK
deleted file mode 100644
index 2343d7b5ee..0000000000
--- a/shim/third-party/ocaml/BUCK
+++ /dev/null
@@ -1,7 +0,0 @@
-# @lint-ignore BUCKLINT: avoid "Direct usage of native rules is not allowed."
-prebuilt_cxx_library(
-    name = "ocaml-dev",
-    header_dirs = ["opam/lib/ocaml"],
-    header_only = True,
-    visibility = ["PUBLIC"],
-)
diff --git a/shim/third-party/ocaml/opam/lib/ocaml b/shim/third-party/ocaml/opam/lib/ocaml
deleted file mode 100644
index 8bd17a7ca8..0000000000
--- a/shim/third-party/ocaml/opam/lib/ocaml
+++ /dev/null
@@ -1 +0,0 @@
-# Fake file so that buck2 can run in non-ocamlrep repos
diff --git a/shim/third-party/openssl/BUCK b/shim/third-party/openssl/BUCK
deleted file mode 100644
index 0bfbbf20c5..0000000000
--- a/shim/third-party/openssl/BUCK
+++ /dev/null
@@ -1,22 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "ssl",
-    homebrew_package_name = "openssl",
-    pkgconfig_name = "openssl",
-)
-
-alias(
-    name = "crypto",
-    actual = ":ssl",
-    visibility = ["PUBLIC"],
-)
diff --git a/shim/third-party/proto/BUCK b/shim/third-party/proto/BUCK
deleted file mode 100644
index d8381b74dc..0000000000
--- a/shim/third-party/proto/BUCK
+++ /dev/null
@@ -1,21 +0,0 @@
-# @lint-ignore BUCKLINT: avoid "Direct usage of native rules is not allowed."
-load(":defs.bzl", "protoc_distribution")
-
-protoc_distribution(
-    name = "distribution",
-    version = "21.4",
-)
-
-# @lint-ignore BUCKLINT: avoid "Direct usage of native rules is not allowed."
-alias(
-    name = "protoc",
-    actual = ":distribution[protoc]",
-    visibility = ["PUBLIC"],
-)
-
-# @lint-ignore BUCKLINT: avoid "Direct usage of native rules is not allowed."
-alias(
-    name = "google_protobuf",
-    actual = ":distribution[google_protobuf]",
-    visibility = ["PUBLIC"],
-)
diff --git a/shim/third-party/proto/defs.bzl b/shim/third-party/proto/defs.bzl
deleted file mode 100644
index 18938c5a7f..0000000000
--- a/shim/third-party/proto/defs.bzl
+++ /dev/null
@@ -1,105 +0,0 @@
-load("@prelude//http_archive/exec_deps.bzl", "HttpArchiveExecDeps")
-load(":releases.bzl", "releases")
-
-ProtocReleaseInfo = provider(fields = [
-    "version",
-    "url",
-    "sha256",
-])
-
-def _get_protoc_release(
-        version: str,
-        platform: str) -> ProtocReleaseInfo:
-    if not version in releases:
-        fail("Unknown protoc release version '{}'. Available versions: {}".format(
-            version,
-            ", ".join(releases.keys()),
-        ))
-    protoc_version = releases[version]
-    artifact = "protoc-{}-{}.zip".format(version, platform)
-    if not artifact in protoc_version:
-        fail("Unsupported platform '{}'. Available artifacts: {}".format(
-            platform,
-            ", ".join(protoc_version.keys()),
-        ))
-    protoc_artifact = protoc_version[artifact]
-    return ProtocReleaseInfo(
-        version = version,
-        url = protoc_artifact["url"],
-        sha256 = protoc_artifact["sha256"],
-    )
-
-def _turn_http_archive_into_protoc_distribution(
-        providers: ProviderCollection,
-        protoc_filename: str) -> list[Provider]:
-    downloads = providers[DefaultInfo].sub_targets
-    include = downloads["include"][DefaultInfo]
-    protoc = downloads[protoc_filename][DefaultInfo]
-
-    return [DefaultInfo(
-        sub_targets = {
-            "google_protobuf": [include],
-            "protoc": [
-                protoc,
-                RunInfo(args = protoc.default_outputs[0]),
-            ],
-        },
-    )]
-
-def _download_protoc_distribution_impl(ctx: AnalysisContext) -> Promise:
-    protoc_filename = "bin/protoc" + ctx.attrs.exe_extension
-
-    # @lint-ignore BUCKLINT: avoid "Direct usage of native rules is not allowed."
-    return ctx.actions.anon_target(native.http_archive, {
-        "exec_deps": ctx.attrs._http_archive_exec_deps,
-        "sha256": ctx.attrs.sha256,
-        "sub_targets": [
-            protoc_filename,
-            "include",
-        ],
-        "urls": [ctx.attrs.url],
-    }).promise.map(lambda providers: _turn_http_archive_into_protoc_distribution(
-        providers = providers,
-        protoc_filename = protoc_filename,
-    ))
-
-download_protoc_distribution = rule(
-    impl = _download_protoc_distribution_impl,
-    attrs = {
-        "exe_extension": attrs.string(),
-        "sha256": attrs.string(),
-        "url": attrs.string(),
-        "_http_archive_exec_deps": attrs.default_only(attrs.exec_dep(providers = [HttpArchiveExecDeps], default = "prelude//http_archive/tools:exec_deps")),
-    },
-)
-
-def _host_platform():
-    os = host_info().os
-    arch = host_info().arch
-    if os.is_linux and arch.is_x86_64:
-        return "linux-x86_64"
-    elif os.is_linux and arch.is_aarch64:
-        return "linux-aarch_64"
-    elif os.is_macos and arch.is_x86_64:
-        return "osx-x86_64"
-    elif os.is_macos and arch.is_aarch64:
-        return "osx-aarch_64"
-    elif os.is_windows and arch.is_x86_64:
-        return "win64"
-    else:
-        fail("Unknown platform: os={}, arch={}".format(os, arch))
-
-def protoc_distribution(
-        name: str,
-        version: str,
-        platform: [None, str] = None):
-    if platform == None:
-        platform = _host_platform()
-    exe_extension = ".exe" if platform.startswith("win") else ""
-    release = _get_protoc_release(version, platform)
-    download_protoc_distribution(
-        name = name,
-        url = release.url,
-        sha256 = release.sha256,
-        exe_extension = exe_extension,
-    )
diff --git a/shim/third-party/proto/releases.bzl b/shim/third-party/proto/releases.bzl
deleted file mode 100644
index 153ca496e4..0000000000
--- a/shim/third-party/proto/releases.bzl
+++ /dev/null
@@ -1,46 +0,0 @@
-# @generated
-# Update with ./update.py > releases.bzl
-releases = {
-    "21.4": {
-        "protoc-21.4-win32.zip": {
-            "url": "https://github.com/protocolbuffers/protobuf/releases/download/v21.4/protoc-21.4-win32.zip",
-            "sha256": "09760ff98f76ac30c8bca7433715c47161fe305bf41573a7cd00b0afcc518617"
-        },
-        "protoc-21.4-osx-x86_64.zip": {
-            "url": "https://github.com/protocolbuffers/protobuf/releases/download/v21.4/protoc-21.4-osx-x86_64.zip",
-            "sha256": "27ac01aee3e8b95ebec017b7b3aee55d4eb095cbd2a5148d2a20350af006072e"
-        },
-        "protoc-21.4-osx-universal_binary.zip": {
-            "url": "https://github.com/protocolbuffers/protobuf/releases/download/v21.4/protoc-21.4-osx-universal_binary.zip",
-            "sha256": "0cf1a340d1fa1366cdf22043e3f92e5374096647037020b405acea706438c603"
-        },
-        "protoc-21.4-osx-aarch_64.zip": {
-            "url": "https://github.com/protocolbuffers/protobuf/releases/download/v21.4/protoc-21.4-osx-aarch_64.zip",
-            "sha256": "6a677c88a5e5b032aaff96767461788a316408d4ed0afef3f1455390a689ec18"
-        },
-        "protoc-21.4-linux-x86_64.zip": {
-            "url": "https://github.com/protocolbuffers/protobuf/releases/download/v21.4/protoc-21.4-linux-x86_64.zip",
-            "sha256": "d51e8f030162f08823a4738ab0ac00bee537e30b583a562e6962dbb040d86736"
-        },
-        "protoc-21.4-linux-x86_32.zip": {
-            "url": "https://github.com/protocolbuffers/protobuf/releases/download/v21.4/protoc-21.4-linux-x86_32.zip",
-            "sha256": "2101e3a4dd490625c15d31274a599e3bfb1f8c9fdd381ca9501da17bb6f7a3d2"
-        },
-        "protoc-21.4-linux-s390_64.zip": {
-            "url": "https://github.com/protocolbuffers/protobuf/releases/download/v21.4/protoc-21.4-linux-s390_64.zip",
-            "sha256": "e0b69b4242bf409c825d787669a4683d63320d6e52280750df971a3376e0af56"
-        },
-        "protoc-21.4-linux-ppcle_64.zip": {
-            "url": "https://github.com/protocolbuffers/protobuf/releases/download/v21.4/protoc-21.4-linux-ppcle_64.zip",
-            "sha256": "58c1be8ca89b8b2712f95a9dd9aeb174f8f479be9f55e71f6ffe0b0e83ef8be9"
-        },
-        "protoc-21.4-linux-aarch_64.zip": {
-            "url": "https://github.com/protocolbuffers/protobuf/releases/download/v21.4/protoc-21.4-linux-aarch_64.zip",
-            "sha256": "5a377b505cf8c3ed29ad0b6e3827c5eb27273c00147fcfd833b9686192143e8d"
-        },
-        "protoc-21.4-win64.zip": {
-            "url": "https://github.com/protocolbuffers/protobuf/releases/download/v21.4/protoc-21.4-win64.zip",
-            "sha256": "090af381392abaf5fd8ae3070d8fc2a4ba2d0a9f8e52915d69b439c33be72da5"
-        }
-    }
-}
diff --git a/shim/third-party/proto/update.py b/shim/third-party/proto/update.py
deleted file mode 100755
index cfee489f67..0000000000
--- a/shim/third-party/proto/update.py
+++ /dev/null
@@ -1,99 +0,0 @@
-#!/usr/bin/env python3
-"""Query recent Github release artifacts for protobuf.
-
-Use this script to update the releases.bzl file that contains metadata about
-protoc releases.
-
-This script is not executed during the regular Buck2 build.
-"""
-
-import aiohttp
-import asyncio
-from contextlib import asynccontextmanager
-from copy import deepcopy
-from gql import gql, Client
-from gql.transport.aiohttp import AIOHTTPTransport
-import hashlib
-import json
-import os
-
-GITHUB_GRAPHQL_URI = "https://api.github.com/graphql"
-GITHUB_TOKEN = os.environ.get("GITHUB_TOKEN")
-GITHUB_QUERY = """\
-query {
-  repository(owner: "protocolbuffers", name: "protobuf") {
-    releases(last: 1) {
-      nodes {
-        tagName
-        releaseAssets(first: 100) {
-          nodes {
-            name
-            downloadUrl
-          }
-        }
-      }
-    }
-  }
-}
-"""
-
-async def query_releases():
-    async with aiohttp.ClientSession(raise_for_status=True) as session:
-        assert GITHUB_TOKEN is not None, "Provide a Github API token in $GITHUB_TOKEN"
-        headers = {'Authorization': f'bearer {GITHUB_TOKEN}'}
-        body = {"query": GITHUB_QUERY}
-        async with session.post(GITHUB_GRAPHQL_URI, headers=headers, json=body) as resp:
-            response = await resp.json()
-            return response["data"]
-
-
-def format_releases(releases):
-    return {
-        release["tagName"].strip("v"): {
-            asset["name"]: {
-                "url": asset["downloadUrl"],
-            }
-            for asset in release["releaseAssets"]["nodes"]
-            if asset["name"].startswith("protoc-")
-        }
-        for release in releases["repository"]["releases"]["nodes"]
-    }
-
-
-async def fetch_sha256(session, url):
-    async with session.get(url) as resp:
-        hasher = hashlib.sha256()
-        async for chunk, _ in resp.content.iter_chunks():
-            hasher.update(chunk)
-    return hasher.hexdigest()
-
-
-async def hash_releases(releases):
-    async def hash_asset(session, version, name, url):
-        sha256 = await fetch_sha256(session, url)
-        return (version, name, sha256)
-
-    tasks = []
-    async with aiohttp.ClientSession() as session:
-        for version, assets in releases.items():
-            for name, asset in assets.items():
-                tasks.append(hash_asset(session, version, name, asset["url"]))
-
-        result = deepcopy(releases)
-        hashes = await asyncio.gather(*tasks)
-        for version, name, sha256 in hashes:
-            result[version][name]["sha256"] = sha256
-
-    return result
-
-
-async def main():
-    releases = await query_releases()
-    formatted = format_releases(releases)
-    with_sha256 = await hash_releases(formatted)
-    print("# @" + "generated")
-    print("# Update with ./update.py > releases.bzl")
-    print("releases = ", json.dumps(with_sha256, indent=4))
-
-
-asyncio.run(main())
diff --git a/shim/third-party/python/BUCK b/shim/third-party/python/BUCK
deleted file mode 100644
index dfa541bdaf..0000000000
--- a/shim/third-party/python/BUCK
+++ /dev/null
@@ -1,17 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "python",
-    homebrew_header_path = "Frameworks/Python.framework/Headers",
-    homebrew_package_name = "python3",
-    pkgconfig_name = "python3",
-)
diff --git a/shim/third-party/range-v3/BUCK b/shim/third-party/range-v3/BUCK
deleted file mode 100644
index 62997c6014..0000000000
--- a/shim/third-party/range-v3/BUCK
+++ /dev/null
@@ -1,12 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(name = "range-v3")
diff --git a/shim/third-party/rust/.gitignore b/shim/third-party/rust/.gitignore
deleted file mode 100644
index c18f3dc437..0000000000
--- a/shim/third-party/rust/.gitignore
+++ /dev/null
@@ -1,31 +0,0 @@
-# Ignore Cargo-related stuff
-.cargo/registry
-.cargo/git
-/registry
-/git
-.package-cache
-
-# Various cruft in vendored packages
-vendor/*/target
-vendor/*/Cargo.lock
-vendor/**/.buckconfig
-vendor/**/BUCK
-vendor/**/OWNERS
-vendor/**/*~
-vendor/**/*.bzl
-vendor/*/.github/**
-vendor/*/.appveyor.yml
-vendor/*/.travis.yml
-/target/**
-
-# Bad Windows names - oh for case-insensitive regex matching!
-vendor/**/[Aa][Uu][Xx]
-vendor/**/[Aa][Uu][Xx].*
-vendor/**/[Cc][Oo][Mm][1-9]
-vendor/**/[Cc][Oo][Mm][1-9].*
-vendor/**/[Cc][Oo][Nn]
-vendor/**/[Cc][Oo][Nn].*
-vendor/**/[Ll][Pp][Tt][1-9]
-vendor/**/[Ll][Pp][Tt][1-9].*
-vendor/**/[Nn][Uu][Ll]
-vendor/**/[Nn][Uu][Ll].*
diff --git a/shim/third-party/rust/Cargo.toml b/shim/third-party/rust/Cargo.toml
deleted file mode 100644
index 718d9ea5a6..0000000000
--- a/shim/third-party/rust/Cargo.toml
+++ /dev/null
@@ -1,234 +0,0 @@
-# Definitions of third-party libraries used for buck2 build of buck2.
-# This file is **not** used by cargo build of buck2.
-# See the <project_root>/docs/bootstrapping.md for more details.
-
-[workspace]
-
-[package]
-# Pseudo-package whose dependencies are imported and buckified
-name = "rust-third-party"
-version = "0.0.0"
-publish = false
-edition = "2021"
-
-# Dummy target to keep Cargo happy
-[[bin]]
-name = "top"
-path = "top/main.rs"
-
-# List of packages to be imported, with version constraints, features
-# and all options Cargo supports.
-[dependencies]
-
-gazebo = {version = "0.8.1", features = ["str_pattern_extensions"]}
-fbinit = "0.1"
-sorted_vector_map = "0.2"
-watchman_client = "0.8.0"
-
-annotate-snippets = { version = "0.9.0", features = ["color"] }
-anyhow = "1.0.65"
-anymap = "0.12.1"
-arc-swap = "1.6.0"
-argfile = "0.1.0"
-assert_matches = "1.5"
-async-compression = { version = "0.4.1", features = ["tokio", "gzip", "zstd"] }
-async-condvar-fair = { version = "0.2.2", features = ["parking_lot_0_11", "tokio"] }
-async-recursion = "1.0"
-async-scoped = { version = "0.8", features = ["use-tokio"] }
-async-trait = "0.1.24"
-atomic = "0.5.1"
-backtrace = "0.3.51"
-base64 = "0.13.0"
-bincode = "1.3.3"
-bitflags = "2.4"
-blake3 = { version = "1.3.1", features = [ "default", "digest", "rayon", "std", "traits-preview" ] }
-bstr = { version = "1.4.0", features = ["serde", "std", "unicode"] }
-bumpalo = { version = "3.14.0", features = ["allocator_api", "collections"] }
-byteorder = "1.4.3"
-bytes = "1.0"
-bytesize = "1.1.0"
-chrono = "0.4.28"
-clap = { package = "clap", version = "4.5.4", features = ["derive", "env", "string"] }
-clap-3 = { package = "clap", version = "3.2.24", features = ["derive", "env", "regex", "unicode", "wrap_help"] }
-clap_complete = { package = "clap_complete", version = "4.5.1" }
-common-path = "1.0.0"
-compact_str = "0.6.1"
-constant_time_eq = "0.2.4"
-convert_case = "0.4.0"
-criterion = { version = "0.3.1", features = [] }
-crossbeam = "0.8"
-crossbeam-channel = "0.5"
-crossbeam-epoch = "0.9.7"
-crossterm = "0.27"
-csv = "1.1"
-ctor = "0.1.16"
-dashmap = "5.5.3"
-debugserver-types = "0.5.0"
-derivative = "2.2"
-derive_more = "0.99.3"
-digest = "0.10"
-dirs = "3.0.1"
-dunce = "1.0.2"
-either = "1.8"
-enum-iterator = "1.4.1"
-enum-map = "0.6.3"
-env_logger = "0.9.0"
-equivalent = "1.0.0"
-erased-serde = "0.3.20"
-faccess = "0.2.3"
-fancy-regex = "0.10.0"
-flate2 = "1.0.22"
-fnv = "1.0.7"
-fs4 = { version = "0.6", features = ["sync"] }
-futures = { version = "0.3.28", features = ["async-await", "compat"] }
-futures-intrusive = "0.4"
-fxhash = "0.2.1"
-glob = "0.3.0"
-globset = "0.4.10"
-hashbrown = { version = "0.14.3", features = ["raw"] }
-hex = "0.4.3"
-higher-order-closure = "0.0.5"
-hostname = "0.3.1"
-http = "0.2"
-httparse = "1.7.1"
-httptest = "0.15"
-humantime = "2.0.1"
-hyper = { version = "0.14.26", features = ["client", "http1", "http2"] }
-hyper-proxy = { git = "https://github.com/get9/hyper-proxy", rev = "205e9fee42d469444d654d9fa207897f4a77d5b6", features = ["rustls"], default_features = false } # branch = tokio-rustls-0.23 Many PRs to bump versions (#28, #30, #31) are several years old, possibly abandoned crate. This fork contains changes from #28 + changes to upgrade rustls to 0.21.
-hyper-rustls = { version = "0.24.0", features = ["http2"] }
-hyper-timeout = "0.4"
-hyper-unix-connector = "0.2"
-indent_write = "2.2.0"
-indenter = "0.3.3"
-indexmap = { version = "2.1.0", features = ["arbitrary", "rayon", "serde"] }
-indoc = "1.0.3"
-inferno = { version = "0.11.11", default-features = false }
-internment = { version = "0.7", features = ["arc"] }
-inventory = "0.3.8"
-ipnetwork = "0.20.0"
-is_proc_translated = "0.1.1"
-itertools = "0.10.3"
-jemallocator = { version = "0.5.0", features = ["profiling"] }
-lalrpop = { version = "0.19.7", artifact = "bin", features = ["pico-args"] }
-lalrpop-util = "0.19.7"
-libc = "0.2.132"
-linked-hash-map = { version = "0.5", features = ["serde_impl"] }
-linkme = { version = "0.3.17", features = ["used_linker"] }
-log = "0.4"
-logos = "0.12"
-lru = "0.12.3"
-lsp-server = "0.7.2"
-lsp-types = "0.94.1"
-maplit = "1.0.2"
-mappable-rc = { version = "0.1.1", features = ["std"] }
-md-5 = "0.10"
-memchr = "2.4.1"
-memmap2 = "0.5.0"
-memoffset = "0.6.4"
-multimap = "0.8.2"
-nix = "0.22"
-nom = "7.1.3"
-notify = "=5.0.0-pre.16"
-num-bigint = "0.4.3"
-num-traits = "0.2"
-num_cpus = "1.11"
-num_enum = "0.5"
-object = "0.29.0"
-oid-registry = "0.6.1"
-once_cell = "1.8"
-os_str_bytes = { version = "6.6.0", features = ["conversions"] }
-parking_lot = { version = "0.11.2", features = ["send_guard"] }
-paste = "1.0"
-pathdiff = "0.2"
-perf-event = "0.4"
-perf-event-open-sys = "4.0"
-pin-project = "0.4.29"
-plist = "0.5"
-pretty_assertions = "1.2.1"
-proc-macro2 = { version = "1.0.70", features = ["span-locations"] }
-prost = "0.11.9"
-prost-build = "0.11.9"
-prost-derive = "0.11.9"
-prost-types = "0.11.9"
-protoc-bin-vendored = "3.0.0"
-psutil = "3.2"
-quote = "1.0.3"
-rand = { version = "0.8.4", features = ["small_rng"] }
-rand_chacha = "0.3"
-rand_distr = "0.4"
-ref-cast = "1.0.0"
-regex = "1.5.4"
-relative-path = { version = "1.7.0", features = ["serde"] }
-ring = "=0.17.5" # Upgrading this is possible, but a pain, so we don't want to pick up every new minor version
-rusqlite = { version = "0.29.0", features = ["bundled"] }
-rustc-hash = "1.1.0"
-rustls = "0.21.0"
-rustls-native-certs = { package = "rustls-native-certs", version = "0.6.2" }
-rustls-pemfile = { package = "rustls-pemfile", version = "1.0.0" }
-rustyline = "11.0"
-scopeguard = "1.0.0"
-sequence_trie = "0.3.6"
-serde = { version = "1.0.173", features = ["derive", "rc"] }
-serde_json = { version = "1.0.48", features = ["raw_value"] }
-sha1 = "0.10"
-sha2 = "0.10"
-shlex = "1.3"
-similar = { version = "2.2.0", features = ["inline"] }
-siphasher = "0.3.3"
-slab = "0.4.7"
-slog = "2.7.0"
-smallvec = { version = "1.10", features = ["const_generics", "const_new", "serde", "specialization", "union", "write"] }
-static_assertions = "1.1.0"
-strsim = "0.10.0"
-structopt = "0.3.23"
-syn = { version = "2", features = ["extra-traits", "full", "visit"] }
-syn1 = { package = "syn", version = "1.0.109", features = ["extra-traits", "fold", "full", "visit", "visit-mut"] }
-synstructure = "0.12"
-sync_wrapper = "0.1.0"
-sys-info = "0.9.1"
-sysinfo = "0.30.11"
-take_mut = "0.2.2"
-tar = "0.4.38"
-tempfile = "3.1.0"
-termimad = "0.20.1"
-termios = "0.3"
-termwiz = "0.18"
-test-case = "3.1.0"
-textwrap = { version = "0.11", features = ["term_size"] }
-thiserror = "1.0.36"
-threadpool = "1.8.1"
-tokio = { version = "1.25.0", features = ["full", "test-util", "tracing"] }
-tokio-rustls = { package = "tokio-rustls", version = "0.24.0", features = ["dangerous_configuration"] }
-tokio-stream = { version = "0.1.14", features = ["fs", "io-util", "net", "sync", "time", "signal"] }
-tokio-util = { version = "0.6", features = ["full"] }
-toml = "0.5"
-tonic = { version = "0.9.2", features = ["tls", "tls-webpki-roots"] }
-tonic-build = { version = "0.9.2", features = ["prost", "cleanup-markdown"] }
-tower = "0.4"
-tower-layer = "0.3.1"
-tower-service = "0.3.2"
-tracing = "0.1.22"
-tracing-subscriber = { version = "0.3", features = ["env-filter"] }
-triomphe = "0.1.11"
-trybuild = "1.0.56"
-typed-arena = "2.0"
-twox-hash = "1.6.1"
-unicode-segmentation = "1.7"
-uuid = { version = "1.2", features = ["v4"] }
-walkdir = "2.3.2"
-which = "4.3.0"
-windows_x86_64_msvc = "=0.48.0"  # our fixup only works if we are on precisely 0.48.0
-winapi = { version = "0.3", features = ["everything"] }
-x509-parser = { version = "0.14.0", features = ["verify"] }
-xattr = "0.2.2"
-zip = "0.5"
-zstd = "0.13.0"
-
-[patch.crates-io]
-# For https://github.com/jimblandy/perf-event/pull/29
-perf-event = { git = "https://github.com/krallin/perf-event.git", rev = "86224a9bc025d5d19f719542f27c8c629a08b167", version = "0.4" }
-perf-event-open-sys = { git = "https://github.com/krallin/perf-event.git", rev = "86224a9bc025d5d19f719542f27c8c629a08b167", version = "4.0" }
-
-# Windows-specific dependencies
-[target."cfg(windows)".dependencies]
-winver = "1"
diff --git a/shim/third-party/rust/defs.bzl b/shim/third-party/rust/defs.bzl
deleted file mode 100644
index 6d295fdd56..0000000000
--- a/shim/third-party/rust/defs.bzl
+++ /dev/null
@@ -1,7 +0,0 @@
-def rust_library_from_crates(name):
-    # @lint-ignore BUCKLINT: avoid "Direct usage of native rules is not allowed."
-    native.export_file(name = name, src = "BUCK", visibility = ["PUBLIC"])
-
-def rust_binary_from_crates(name):
-    # @lint-ignore BUCKLINT: avoid "Direct usage of native rules is not allowed."
-    native.genrule(name = name, cmd = "exit 1", executable = True, out = "out", visibility = ["PUBLIC"])
diff --git a/shim/third-party/rust/fixups/ahash/fixups.toml b/shim/third-party/rust/fixups/ahash/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/ahash/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/anyhow/fixups.toml b/shim/third-party/rust/fixups/anyhow/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/anyhow/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/async-trait/fixups.toml b/shim/third-party/rust/fixups/async-trait/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/async-trait/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/atomic/fixups.toml b/shim/third-party/rust/fixups/atomic/fixups.toml
deleted file mode 100644
index 5e026f75e0..0000000000
--- a/shim/third-party/rust/fixups/atomic/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-[[buildscript]]
-[buildscript.rustc_flags]
diff --git a/shim/third-party/rust/fixups/axum-core/fixups.toml b/shim/third-party/rust/fixups/axum-core/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/axum-core/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/axum/fixups.toml b/shim/third-party/rust/fixups/axum/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/axum/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/backtrace/fixups.toml b/shim/third-party/rust/fixups/backtrace/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/backtrace/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/blake3/fixups.toml b/shim/third-party/rust/fixups/blake3/fixups.toml
deleted file mode 100644
index 389fd57acf..0000000000
--- a/shim/third-party/rust/fixups/blake3/fixups.toml
+++ /dev/null
@@ -1,81 +0,0 @@
-buildscript = []
-
-## The various X86 platform fixups
-
-[platform_fixup.'cfg(target_arch = "x86_64")']
-cfgs = ["blake3_sse2_ffi", "blake3_sse41_ffi", "blake3_avx2_ffi", "blake3_avx512_ffi"]
-buildscript = []
-
-# , any(target_env = "fbcode", target_env = "gnu")
-[[platform_fixup.'cfg(all(target_arch = "x86_64", any(target_os = "linux", target_os = "macos")))'.buildscript]]
-[platform_fixup.'cfg(all(target_arch = "x86_64", any(target_os = "linux", target_os = "macos")))'.buildscript.cxx_library]
-name = "simd_x86_unix"
-srcs = [
-    "c/blake3.c",
-    "c/blake3_dispatch.c",
-    "c/blake3_portable.c",
-    "c/blake3_sse2_x86-64_unix.S",
-    "c/blake3_sse41_x86-64_unix.S",
-    "c/blake3_avx2_x86-64_unix.S",
-    "c/blake3_avx512_x86-64_unix.S"
-]
-# Older versions of Clang require these flags, even for assembly. See
-# https://github.com/BLAKE3-team/BLAKE3/issues/79.
-compiler_flags = ["-mavx512f", "-mavx512vl"]
-headers = ["c/*.h"]
-compatible_with = [
-    "prelude//os/constraints:linux",
-    "prelude//os/constraints:macos",
-]
-
-[[platform_fixup.'cfg(all(target_arch = "x86_64", target_os = "windows", target_env = "gnu"))'.buildscript]]
-[platform_fixup.'cfg(all(target_arch = "x86_64", target_os = "windows", target_env = "gnu"))'.buildscript.cxx_library]
-name = "simd_x86_windows_gnu"
-srcs = [
-    "c/blake3.c",
-    "c/blake3_dispatch.c",
-    "c/blake3_portable.c",
-    "c/blake3_sse2_x86-64_windows_gnu.S",
-    "c/blake3_sse41_x86-64_windows_gnu.S",
-    "c/blake3_avx2_x86-64_windows_gnu.S",
-    "c/blake3_avx512_x86-64_windows_gnu.S"
-]
-# Older versions of Clang require these flags, even for assembly. See
-# https://github.com/BLAKE3-team/BLAKE3/issues/79.
-compiler_flags = ["-mavx512f", "-mavx512vl"]
-headers = ["c/*.h"]
-compatible_with = ["prelude//os/constraints:windows"]
-
-[[platform_fixup.'cfg(all(target_arch = "x86_64", target_os = "windows", target_env = "msvc"))'.buildscript]]
-[platform_fixup.'cfg(all(target_arch = "x86_64", target_os = "windows", target_env = "msvc"))'.buildscript.cxx_library]
-name = "simd_x86_windows_msvc"
-srcs = [
-    "c/blake3.c",
-    "c/blake3_dispatch.c",
-    "c/blake3_portable.c",
-    "c/blake3_sse2_x86-64_windows_msvc.asm",
-    "c/blake3_sse41_x86-64_windows_msvc.asm",
-    "c/blake3_avx2_x86-64_windows_msvc.asm",
-    "c/blake3_avx512_x86-64_windows_msvc.asm"
-]
-headers = ["c/*.h"]
-compatible_with = ["prelude//os/constraints:windows"]
-
-## ARM and AArch64 fixups
-
-[platform_fixup.'cfg(any(target_arch = "aarch64", target_arch = "arm"))']
-cfgs = ["blake3_neon"]
-buildscript = []
-
-[[platform_fixup.'cfg(target_arch = "aarch64")'.buildscript]]
-[platform_fixup.'cfg(target_arch = "aarch64")'.buildscript.cxx_library]
-name = "simd_neon-aarch64"
-srcs = ["c/blake3_neon.c"]
-headers = ["c/*.h"]
-
-[[platform_fixup.'cfg(target_arch = "arm")'.buildscript]]
-[platform_fixup.'cfg(target_arch = "arm")'.buildscript.cxx_library]
-name = "simd_neon-armv7"
-srcs = ["c/blake3_neon.c"]
-compiler_flags = ["-mfpu=neon-vfpv4", "-mfloat-abi=hard"]
-headers = ["c/*.h"]
diff --git a/shim/third-party/rust/fixups/bumpalo/fixups.toml b/shim/third-party/rust/fixups/bumpalo/fixups.toml
deleted file mode 100644
index edd9a2079b..0000000000
--- a/shim/third-party/rust/fixups/bumpalo/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-extra_srcs = ["README.md"]
diff --git a/shim/third-party/rust/fixups/bzip2-sys/fixups.toml b/shim/third-party/rust/fixups/bzip2-sys/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/bzip2-sys/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/clap/fixups.toml b/shim/third-party/rust/fixups/clap/fixups.toml
deleted file mode 100644
index ee94fdc2f2..0000000000
--- a/shim/third-party/rust/fixups/clap/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-omit_features = ["deprecated"]
diff --git a/shim/third-party/rust/fixups/clap_builder/fixups.toml b/shim/third-party/rust/fixups/clap_builder/fixups.toml
deleted file mode 100644
index edd9a2079b..0000000000
--- a/shim/third-party/rust/fixups/clap_builder/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-extra_srcs = ["README.md"]
diff --git a/shim/third-party/rust/fixups/clap_derive/fixups.toml b/shim/third-party/rust/fixups/clap_derive/fixups.toml
deleted file mode 100644
index ee94fdc2f2..0000000000
--- a/shim/third-party/rust/fixups/clap_derive/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-omit_features = ["deprecated"]
diff --git a/shim/third-party/rust/fixups/core-foundation-sys/fixups.toml b/shim/third-party/rust/fixups/core-foundation-sys/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/core-foundation-sys/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/crc32fast/fixups.toml b/shim/third-party/rust/fixups/crc32fast/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/crc32fast/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/criterion/fixups.toml b/shim/third-party/rust/fixups/criterion/fixups.toml
deleted file mode 100644
index 41439d3356..0000000000
--- a/shim/third-party/rust/fixups/criterion/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-cargo_env = true
diff --git a/shim/third-party/rust/fixups/crossbeam-epoch/fixups.toml b/shim/third-party/rust/fixups/crossbeam-epoch/fixups.toml
deleted file mode 100644
index 3510928422..0000000000
--- a/shim/third-party/rust/fixups/crossbeam-epoch/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-buildscript = []
-cargo_env = true
diff --git a/shim/third-party/rust/fixups/crossbeam-queue/fixups.toml b/shim/third-party/rust/fixups/crossbeam-queue/fixups.toml
deleted file mode 100644
index 3510928422..0000000000
--- a/shim/third-party/rust/fixups/crossbeam-queue/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-buildscript = []
-cargo_env = true
diff --git a/shim/third-party/rust/fixups/crossbeam-utils/fixups.toml b/shim/third-party/rust/fixups/crossbeam-utils/fixups.toml
deleted file mode 100644
index 3510928422..0000000000
--- a/shim/third-party/rust/fixups/crossbeam-utils/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-buildscript = []
-cargo_env = true
diff --git a/shim/third-party/rust/fixups/crunchy/fixups.toml b/shim/third-party/rust/fixups/crunchy/fixups.toml
deleted file mode 100644
index ac9ebfb4af..0000000000
--- a/shim/third-party/rust/fixups/crunchy/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-[[buildscript]]
-[buildscript.gen_srcs]
diff --git a/shim/third-party/rust/fixups/darwin-libproc-sys/fixups.toml b/shim/third-party/rust/fixups/darwin-libproc-sys/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/darwin-libproc-sys/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/debugserver-types/fixups.toml b/shim/third-party/rust/fixups/debugserver-types/fixups.toml
deleted file mode 100644
index 50645274fe..0000000000
--- a/shim/third-party/rust/fixups/debugserver-types/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-extra_srcs = ["src/schema.json"]
-cargo_env = true
diff --git a/shim/third-party/rust/fixups/erased-serde/fixups.toml b/shim/third-party/rust/fixups/erased-serde/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/erased-serde/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/fs-err/fixups.toml b/shim/third-party/rust/fixups/fs-err/fixups.toml
deleted file mode 100644
index 5e026f75e0..0000000000
--- a/shim/third-party/rust/fixups/fs-err/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-[[buildscript]]
-[buildscript.rustc_flags]
diff --git a/shim/third-party/rust/fixups/fs4/fixups.toml b/shim/third-party/rust/fixups/fs4/fixups.toml
deleted file mode 100644
index af7edb27e3..0000000000
--- a/shim/third-party/rust/fixups/fs4/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-extra_srcs = ["src/**/*.rs"]
diff --git a/shim/third-party/rust/fixups/futures-channel/fixups.toml b/shim/third-party/rust/fixups/futures-channel/fixups.toml
deleted file mode 100644
index 3510928422..0000000000
--- a/shim/third-party/rust/fixups/futures-channel/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-buildscript = []
-cargo_env = true
diff --git a/shim/third-party/rust/fixups/futures-core/fixups.toml b/shim/third-party/rust/fixups/futures-core/fixups.toml
deleted file mode 100644
index 3510928422..0000000000
--- a/shim/third-party/rust/fixups/futures-core/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-buildscript = []
-cargo_env = true
diff --git a/shim/third-party/rust/fixups/futures-task/fixups.toml b/shim/third-party/rust/fixups/futures-task/fixups.toml
deleted file mode 100644
index 3510928422..0000000000
--- a/shim/third-party/rust/fixups/futures-task/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-buildscript = []
-cargo_env = true
diff --git a/shim/third-party/rust/fixups/futures-util/fixups.toml b/shim/third-party/rust/fixups/futures-util/fixups.toml
deleted file mode 100644
index 3510928422..0000000000
--- a/shim/third-party/rust/fixups/futures-util/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-buildscript = []
-cargo_env = true
diff --git a/shim/third-party/rust/fixups/generic-array/fixups.toml b/shim/third-party/rust/fixups/generic-array/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/generic-array/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/getrandom/fixups.toml b/shim/third-party/rust/fixups/getrandom/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/getrandom/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/httparse/fixups.toml b/shim/third-party/rust/fixups/httparse/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/httparse/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/hyper/fixups.toml b/shim/third-party/rust/fixups/hyper/fixups.toml
deleted file mode 100644
index 9118e9de76..0000000000
--- a/shim/third-party/rust/fixups/hyper/fixups.toml
+++ /dev/null
@@ -1,5 +0,0 @@
-# reindeer cannot see through `cfg_proto!` macros and the like
-extra_srcs = ["src/**/*.rs"]
-
-[[buildscript]]
-[buildscript.rustc_flags]
diff --git a/shim/third-party/rust/fixups/indexmap/fixups.toml b/shim/third-party/rust/fixups/indexmap/fixups.toml
deleted file mode 100644
index 4aa45eda12..0000000000
--- a/shim/third-party/rust/fixups/indexmap/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-buildscript = []
-cfgs = ["has_std"]
diff --git a/shim/third-party/rust/fixups/io-lifetimes/fixups.toml b/shim/third-party/rust/fixups/io-lifetimes/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/io-lifetimes/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/jemalloc-sys/fixups.toml b/shim/third-party/rust/fixups/jemalloc-sys/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/jemalloc-sys/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/lalrpop/fixups.toml b/shim/third-party/rust/fixups/lalrpop/fixups.toml
deleted file mode 100644
index 41439d3356..0000000000
--- a/shim/third-party/rust/fixups/lalrpop/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-cargo_env = true
diff --git a/shim/third-party/rust/fixups/lexical-core/fixups.toml b/shim/third-party/rust/fixups/lexical-core/fixups.toml
deleted file mode 100644
index 5e026f75e0..0000000000
--- a/shim/third-party/rust/fixups/lexical-core/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-[[buildscript]]
-[buildscript.rustc_flags]
diff --git a/shim/third-party/rust/fixups/libc/fixups.toml b/shim/third-party/rust/fixups/libc/fixups.toml
deleted file mode 100644
index 5e026f75e0..0000000000
--- a/shim/third-party/rust/fixups/libc/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-[[buildscript]]
-[buildscript.rustc_flags]
diff --git a/shim/third-party/rust/fixups/libm/fixups.toml b/shim/third-party/rust/fixups/libm/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/libm/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/libsqlite3-sys/fixups.toml b/shim/third-party/rust/fixups/libsqlite3-sys/fixups.toml
deleted file mode 100644
index b82bb848a2..0000000000
--- a/shim/third-party/rust/fixups/libsqlite3-sys/fixups.toml
+++ /dev/null
@@ -1,19 +0,0 @@
-# libsqlite3-sys uses a bindgen binding to libsqlite.
-# We can't easily import bindgen because of its libclang dependency,
-# so in the meantime we need to use pre-generated bindgen files.
-
-extra_mapped_srcs = {"sqlite3/bindgen_bundled_version.rs" = "src/bindgen.rs"}
-
-[env]
-OUT_DIR = "."
-
-[[buildscript]]
-[buildscript.cxx_library]
-name = "sqlite3"
-srcs = ["sqlite3/sqlite3.c"]
-headers = ["sqlite3/*.h"]
-preprocessor_flags = [
-    "-DSQLITE_ENABLE_COLUMN_METADATA",
-    "-DSQLITE_ENABLE_FTS3",
-    "-DSQLITE_ENABLE_RTREE",
-]
diff --git a/shim/third-party/rust/fixups/lock_api/fixups.toml b/shim/third-party/rust/fixups/lock_api/fixups.toml
deleted file mode 100644
index 6c1a3d45a5..0000000000
--- a/shim/third-party/rust/fixups/lock_api/fixups.toml
+++ /dev/null
@@ -1,3 +0,0 @@
-# the build script for lock_api is a version check for rust 1.61.
-[[buildscript]]
-[buildscript.rustc_flags]
diff --git a/shim/third-party/rust/fixups/log/fixups.toml b/shim/third-party/rust/fixups/log/fixups.toml
deleted file mode 100644
index 5e026f75e0..0000000000
--- a/shim/third-party/rust/fixups/log/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-[[buildscript]]
-[buildscript.rustc_flags]
diff --git a/shim/third-party/rust/fixups/memchr/fixups.toml b/shim/third-party/rust/fixups/memchr/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/memchr/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/memoffset/fixups.toml b/shim/third-party/rust/fixups/memoffset/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/memoffset/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/mio/fixups.toml b/shim/third-party/rust/fixups/mio/fixups.toml
deleted file mode 100644
index af7edb27e3..0000000000
--- a/shim/third-party/rust/fixups/mio/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-extra_srcs = ["src/**/*.rs"]
diff --git a/shim/third-party/rust/fixups/native-tls/fixups.toml b/shim/third-party/rust/fixups/native-tls/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/native-tls/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/nix/fixups.toml b/shim/third-party/rust/fixups/nix/fixups.toml
deleted file mode 100644
index 1849ea069d..0000000000
--- a/shim/third-party/rust/fixups/nix/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-buildscript = []
-extra_srcs = ["src/**/*.rs"]
diff --git a/shim/third-party/rust/fixups/nom/fixups.toml b/shim/third-party/rust/fixups/nom/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/nom/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/ntapi/fixups.toml b/shim/third-party/rust/fixups/ntapi/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/ntapi/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/num-bigint/fixups.toml b/shim/third-party/rust/fixups/num-bigint/fixups.toml
deleted file mode 100644
index df0b424f49..0000000000
--- a/shim/third-party/rust/fixups/num-bigint/fixups.toml
+++ /dev/null
@@ -1,5 +0,0 @@
-[[buildscript]]
-[buildscript.rustc_flags]
-
-[[buildscript]]
-[buildscript.gen_srcs]
diff --git a/shim/third-party/rust/fixups/num-integer/fixups.toml b/shim/third-party/rust/fixups/num-integer/fixups.toml
deleted file mode 100644
index 5e026f75e0..0000000000
--- a/shim/third-party/rust/fixups/num-integer/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-[[buildscript]]
-[buildscript.rustc_flags]
diff --git a/shim/third-party/rust/fixups/num-traits/fixups.toml b/shim/third-party/rust/fixups/num-traits/fixups.toml
deleted file mode 100644
index 5e026f75e0..0000000000
--- a/shim/third-party/rust/fixups/num-traits/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-[[buildscript]]
-[buildscript.rustc_flags]
diff --git a/shim/third-party/rust/fixups/oid-registry/fixups.toml b/shim/third-party/rust/fixups/oid-registry/fixups.toml
deleted file mode 100644
index 79d5cb979d..0000000000
--- a/shim/third-party/rust/fixups/oid-registry/fixups.toml
+++ /dev/null
@@ -1,7 +0,0 @@
-cargo_env = [
-    "CARGO_PKG_NAME", # Needed by _buck1_handle_manifest_dir
-    "CARGO_MANIFEST_DIR",
-]
-
-[[buildscript]]
-[buildscript.gen_srcs]
diff --git a/shim/third-party/rust/fixups/parking_lot/fixups.toml b/shim/third-party/rust/fixups/parking_lot/fixups.toml
deleted file mode 100644
index 5e026f75e0..0000000000
--- a/shim/third-party/rust/fixups/parking_lot/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-[[buildscript]]
-[buildscript.rustc_flags]
diff --git a/shim/third-party/rust/fixups/parking_lot_core/fixups.toml b/shim/third-party/rust/fixups/parking_lot_core/fixups.toml
deleted file mode 100644
index 5e026f75e0..0000000000
--- a/shim/third-party/rust/fixups/parking_lot_core/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-[[buildscript]]
-[buildscript.rustc_flags]
diff --git a/shim/third-party/rust/fixups/paste/fixups.toml b/shim/third-party/rust/fixups/paste/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/paste/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/pest/fixups.toml b/shim/third-party/rust/fixups/pest/fixups.toml
deleted file mode 100644
index af7edb27e3..0000000000
--- a/shim/third-party/rust/fixups/pest/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-extra_srcs = ["src/**/*.rs"]
diff --git a/shim/third-party/rust/fixups/pin-project-internal/fixups.toml b/shim/third-party/rust/fixups/pin-project-internal/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/pin-project-internal/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/platforms/fixups.toml b/shim/third-party/rust/fixups/platforms/fixups.toml
deleted file mode 100644
index e086791cd2..0000000000
--- a/shim/third-party/rust/fixups/platforms/fixups.toml
+++ /dev/null
@@ -1,26 +0,0 @@
-# Buildscript sets TARGET in environment
-buildscript = []
-
-[platform_fixup.'cfg(all(target_os = "linux", target_arch = "aarch64"))']
-env = { TARGET = "aarch64-unknown-linux-gnu" }
-buildscript = []
-
-[platform_fixup.'cfg(all(target_os = "linux", target_arch = "x86_64"))']
-env = { TARGET = "x86_64-unknown-linux-gnu" }
-buildscript = []
-
-[platform_fixup.'cfg(all(target_os = "macos", target_arch = "aarch64"))']
-env = { TARGET = "aarch64-apple-darwin" }
-buildscript = []
-
-[platform_fixup.'cfg(all(target_os = "macos", target_arch = "x86_64"))']
-env = { TARGET = "x86_64-apple-darwin" }
-buildscript = []
-
-[platform_fixup.'cfg(all(target_os = "windows", target_env = "gnu"))']
-env = { TARGET = "x86_64-pc-windows-gnu" }
-buildscript = []
-
-[platform_fixup.'cfg(all(target_os = "windows", target_env = "msvc"))']
-env = { TARGET = "x86_64-pc-windows-msvc" }
-buildscript = []
diff --git a/shim/third-party/rust/fixups/prettyplease/fixups.toml b/shim/third-party/rust/fixups/prettyplease/fixups.toml
deleted file mode 100644
index 3510928422..0000000000
--- a/shim/third-party/rust/fixups/prettyplease/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-buildscript = []
-cargo_env = true
diff --git a/shim/third-party/rust/fixups/proc-macro-error-attr/fixups.toml b/shim/third-party/rust/fixups/proc-macro-error-attr/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/proc-macro-error-attr/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/proc-macro-error/fixups.toml b/shim/third-party/rust/fixups/proc-macro-error/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/proc-macro-error/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/proc-macro-hack/fixups.toml b/shim/third-party/rust/fixups/proc-macro-hack/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/proc-macro-hack/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/proc-macro2/fixups.toml b/shim/third-party/rust/fixups/proc-macro2/fixups.toml
deleted file mode 100644
index 5e026f75e0..0000000000
--- a/shim/third-party/rust/fixups/proc-macro2/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-[[buildscript]]
-[buildscript.rustc_flags]
diff --git a/shim/third-party/rust/fixups/prost-build/fixups.toml b/shim/third-party/rust/fixups/prost-build/fixups.toml
deleted file mode 100644
index 5865e69048..0000000000
--- a/shim/third-party/rust/fixups/prost-build/fixups.toml
+++ /dev/null
@@ -1,7 +0,0 @@
-buildscript = []
-
-# These are here because the crate uses the env! macro
-# We override them at runtime.
-[env]
-PROTOC = ""
-PROTOC_INCLUDE = ""
diff --git a/shim/third-party/rust/fixups/pulldown-cmark/fixups.toml b/shim/third-party/rust/fixups/pulldown-cmark/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/pulldown-cmark/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/quote/fixups.toml b/shim/third-party/rust/fixups/quote/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/quote/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/radium/fixups.toml b/shim/third-party/rust/fixups/radium/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/radium/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/rayon-core/fixups.toml b/shim/third-party/rust/fixups/rayon-core/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/rayon-core/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/ref-cast/fixups.toml b/shim/third-party/rust/fixups/ref-cast/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/ref-cast/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/reqwest/fixups.toml b/shim/third-party/rust/fixups/reqwest/fixups.toml
deleted file mode 100644
index af7edb27e3..0000000000
--- a/shim/third-party/rust/fixups/reqwest/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-extra_srcs = ["src/**/*.rs"]
diff --git a/shim/third-party/rust/fixups/ring/fixups.toml b/shim/third-party/rust/fixups/ring/fixups.toml
deleted file mode 100644
index d2c83589cf..0000000000
--- a/shim/third-party/rust/fixups/ring/fixups.toml
+++ /dev/null
@@ -1,162 +0,0 @@
-# Copied from fbsource fixup.
-
-buildscript = []
-
-# Generate a C/C++ build rule for all the C code
-
-[[platform_fixup.'cfg(all(target_arch = "x86_64", target_os = "linux"))'.buildscript]]
-[platform_fixup.'cfg(all(target_arch = "x86_64", target_os = "linux"))'.buildscript.cxx_library]
-name = "ring-c-asm-elf-x86_84"
-srcs = [ "crypto/**/*.c", "pregenerated/*x86_64*-elf.S" ]
-headers = [ "include/**/*.h", "crypto/**/*.h", "third_party/**/*.h", "crypto/**/*.inl" ]
-# Exclude C AES because we've got the x86_64 one
-exclude = [ "crypto/fipsmodule/aes/aes.c" ]
-include_paths = ["include"]
-compiler_flags = ["-Wno-error"]
-
-# redundant `any` is needed to differentiate key for config specific to v0.17.5 version
-[platform_fixup.'cfg(any(all(target_arch = "x86_64", target_os = "linux")))']
-version = "=0.17.5"
-[platform_fixup.'cfg(any(all(target_arch = "x86_64", target_os = "linux")))'.env]
-RING_CORE_PREFIX = "ring_core_0_17_5_"
-[[platform_fixup.'cfg(any(all(target_arch = "x86_64", target_os = "linux")))'.buildscript]]
-[platform_fixup.'cfg(any(all(target_arch = "x86_64", target_os = "linux")))'.buildscript.cxx_library]
-name = "ring-c-asm-elf-x86_84"
-srcs = [ "crypto/**/*.c", "pregenerated/*x86_64*-elf.S", "third_party/fiat/asm/fiat_curve25519_adx_mul.S", "third_party/fiat/asm/fiat_curve25519_adx_square.S" ]
-headers = [ "include/**/*.h", "crypto/**/*.h", "third_party/**/*.h", "crypto/**/*.inl" ]
-# Exclude C AES because we've got the x86_64 one
-exclude = [ "crypto/fipsmodule/aes/aes.c" ]
-include_paths = ["include"]
-compiler_flags = ["-Wno-error"]
-fixup_include_paths = ["include"]
-
-[[platform_fixup.'cfg(all(target_arch = "aarch64", target_os = "linux"))'.buildscript]]
-[platform_fixup.'cfg(all(target_arch = "aarch64", target_os = "linux"))'.buildscript.cxx_library]
-name = "ring-c-asm-elf-aarch64"
-srcs = [ "crypto/**/*.c", "pregenerated/*armv8*-linux64.S", "pregenerated/*armx*-linux64.S" ]
-headers = [ "include/**/*.h", "crypto/**/*.h", "third_party/**/*.h", "crypto/**/*.inl" ]
-exclude = [ "crypto/cpu-intel.c" ]
-include_paths = ["include"]
-compiler_flags = ["-Wno-error"]
-
-[platform_fixup.'cfg(any(all(target_arch = "aarch64", target_os = "linux")))']
-version = "=0.17.5"
-[platform_fixup.'cfg(any(all(target_arch = "aarch64", target_os = "linux")))'.env]
-RING_CORE_PREFIX = "ring_core_0_17_5_"
-[[platform_fixup.'cfg(any(all(target_arch = "aarch64", target_os = "linux")))'.buildscript]]
-[platform_fixup.'cfg(any(all(target_arch = "aarch64", target_os = "linux")))'.buildscript.cxx_library]
-name = "ring-c-asm-elf-aarch64"
-srcs = [ "crypto/**/*.c", "pregenerated/*armv8*-linux64.S", "pregenerated/*armx*-linux64.S" ]
-headers = [ "include/**/*.h", "crypto/**/*.h", "third_party/**/*.h", "crypto/**/*.inl" ]
-exclude = [ "crypto/cpu-intel.c" ]
-include_paths = ["include"]
-compiler_flags = ["-Wno-error"]
-fixup_include_paths = ["include"]
-
-[[platform_fixup.'cfg(all(target_arch = "x86_64", target_os = "macos"))'.buildscript]]
-[platform_fixup.'cfg(all(target_arch = "x86_64", target_os = "macos"))'.buildscript.cxx_library]
-name = "ring-c-asm-macos-x86_64"
-srcs = [ "crypto/**/*.c", "pregenerated/*x86_64*-macosx.S" ]
-headers = [ "include/**/*.h", "crypto/**/*.h", "third_party/**/*.h", "crypto/**/*.inl" ]
-# Exclude C AES because we've got the x86_64 one
-exclude = [ "crypto/fipsmodule/aes/aes.c" ]
-include_paths = ["include"]
-compiler_flags = ["-Wno-error"]
-
-[platform_fixup.'cfg(any(all(target_arch = "x86_64", target_os = "macos")))']
-version = "=0.17.5"
-[platform_fixup.'cfg(any(all(target_arch = "x86_64", target_os = "macos")))'.env]
-RING_CORE_PREFIX = "ring_core_0_17_5_"
-[[platform_fixup.'cfg(any(all(target_arch = "x86_64", target_os = "macos")))'.buildscript]]
-[platform_fixup.'cfg(any(all(target_arch = "x86_64", target_os = "macos")))'.buildscript.cxx_library]
-name = "ring-c-asm-macos-x86_64"
-srcs = [ "crypto/**/*.c", "pregenerated/*x86_64*-macosx.S", "third_party/fiat/asm/fiat_curve25519_adx_mul.S", "third_party/fiat/asm/fiat_curve25519_adx_square.S" ]
-headers = [ "include/**/*.h", "crypto/**/*.h", "third_party/**/*.h", "crypto/**/*.inl" ]
-# Exclude C AES because we've got the x86_64 one
-exclude = [ "crypto/fipsmodule/aes/aes.c" ]
-include_paths = ["include"]
-compiler_flags = ["-Wno-error"]
-fixup_include_paths = ["include"]
-
-[[platform_fixup.'cfg(all(target_arch = "aarch64", target_os = "macos"))'.buildscript]]
-[platform_fixup.'cfg(all(target_arch = "aarch64", target_os = "macos"))'.buildscript.cxx_library]
-name = "ring-c-asm-macos-arm64"
-srcs = [ "crypto/**/*.c", "pregenerated/*armv8*-ios64.S", "pregenerated/*armx*-ios64.S" ]
-headers = [ "include/**/*.h", "crypto/**/*.h", "third_party/**/*.h", "crypto/**/*.inl" ]
-exclude = [ "crypto/cpu-intel.c" ]
-include_paths = ["include"]
-compiler_flags = ["-Wno-error"]
-
-[platform_fixup.'cfg(any(all(target_arch = "aarch64", target_os = "macos")))']
-version = "=0.17.5"
-[platform_fixup.'cfg(any(all(target_arch = "aarch64", target_os = "macos")))'.env]
-RING_CORE_PREFIX = "ring_core_0_17_5_"
-[[platform_fixup.'cfg(any(all(target_arch = "aarch64", target_os = "macos")))'.buildscript]]
-[platform_fixup.'cfg(any(all(target_arch = "aarch64", target_os = "macos")))'.buildscript.cxx_library]
-name = "ring-c-asm-macos-arm64"
-srcs = [ "crypto/**/*.c", "pregenerated/*armv8*-ios64.S", "pregenerated/*armx*-ios64.S" ]
-headers = [ "include/**/*.h", "crypto/**/*.h", "third_party/**/*.h", "crypto/**/*.inl" ]
-exclude = [ "crypto/cpu-intel.c" ]
-include_paths = ["include"]
-compiler_flags = ["-Wno-error"]
-fixup_include_paths = ["include"]
-
-[[platform_fixup.'cfg(all(target_arch = "x86_64", target_os = "windows", target_env = "gnu"))'.buildscript]]
-[platform_fixup.'cfg(all(target_arch = "x86_64", target_os = "windows", target_env = "gnu"))'.buildscript.cxx_library]
-name = "ring-c-win-x86_84"
-srcs = [ "crypto/**/*.c" ]
-headers = [ "include/**/*.h", "crypto/**/*.h", "third_party/**/*.h", "crypto/**/*.inl" ]
-# Exclude C AES because we've got the x86_64 one
-exclude = [ "crypto/fipsmodule/aes/aes.c" ]
-include_paths = ["include"]
-compiler_flags = ["-Wno-error"]
-
-[platform_fixup.'cfg(any(all(target_arch = "x86_64", target_os = "windows", target_env = "gnu")))']
-version = "=0.17.5"
-[platform_fixup.'cfg(any(all(target_arch = "x86_64", target_os = "windows", target_env = "gnu")))'.env]
-RING_CORE_PREFIX = "ring_core_0_17_5_"
-[[platform_fixup.'cfg(any(all(target_arch = "x86_64", target_os = "windows", target_env = "gnu")))'.buildscript]]
-[platform_fixup.'cfg(any(all(target_arch = "x86_64", target_os = "windows", target_env = "gnu")))'.buildscript.cxx_library]
-name = "ring-c-win-x86_84"
-srcs = [ "crypto/**/*.c" ]
-headers = [ "include/**/*.h", "crypto/**/*.h", "third_party/**/*.h", "crypto/**/*.inl" ]
-# Exclude C AES because we've got the x86_64 one
-exclude = [ "crypto/fipsmodule/aes/aes.c" ]
-include_paths = ["include"]
-compiler_flags = ["-Wno-error"]
-fixup_include_paths = ["include"]
-
-[[platform_fixup.'cfg(all(target_arch = "x86_64", target_os = "windows", target_env = "msvc"))'.buildscript]]
-[platform_fixup.'cfg(all(target_arch = "x86_64", target_os = "windows", target_env = "msvc"))'.buildscript.cxx_library]
-name = "ring-c-win-msvc-x86_84"
-srcs = [ "crypto/**/*.c" ]
-headers = [ "include/**/*.h", "crypto/**/*.h", "third_party/**/*.h", "crypto/**/*.inl" ]
-# Exclude C AES because we've got the x86_64 one
-exclude = [ "crypto/fipsmodule/aes/aes.c" ]
-include_paths = ["include"]
-
-[platform_fixup.'cfg(any(all(target_arch = "x86_64", target_os = "windows", target_env = "msvc")))']
-version = "=0.17.5"
-[platform_fixup.'cfg(any(all(target_arch = "x86_64", target_os = "windows", target_env = "msvc")))'.env]
-RING_CORE_PREFIX = "ring_core_0_17_5_"
-[[platform_fixup.'cfg(any(all(target_arch = "x86_64", target_os = "windows", target_env = "msvc")))'.buildscript]]
-[platform_fixup.'cfg(any(all(target_arch = "x86_64", target_os = "windows", target_env = "msvc")))'.buildscript.cxx_library]
-name = "ring-c-win-msvc-x86_84"
-srcs = [ "crypto/**/*.c" ]
-headers = [ "include/**/*.h", "crypto/**/*.h", "third_party/**/*.h", "crypto/**/*.inl" ]
-# Exclude C AES because we've got the x86_64 one
-exclude = [ "crypto/fipsmodule/aes/aes.c" ]
-include_paths = ["include"]
-fixup_include_paths = ["include"]
-
-[[platform_fixup.'cfg(all(target_arch = "x86_64", target_os = "windows"))'.buildscript]]
-[platform_fixup.'cfg(all(target_arch = "x86_64", target_os = "windows"))'.buildscript.prebuilt_cxx_library]
-name = "ring-asm-windows-x86_84"
-static_libs = [ "pregenerated/*x86_64*-nasm.obj" ]
-
-[platform_fixup.'cfg(any(all(target_arch = "x86_64", target_os = "windows")))']
-version = "=0.17.5"
-[[platform_fixup.'cfg(any(all(target_arch = "x86_64", target_os = "windows")))'.buildscript]]
-[platform_fixup.'cfg(any(all(target_arch = "x86_64", target_os = "windows")))'.buildscript.prebuilt_cxx_library]
-name = "ring-asm-windows-x86_84"
-static_libs = [ "pregenerated/*x86_64*-nasm.o" ]
diff --git a/shim/third-party/rust/fixups/ring/include/ring_core_generated/prefix_symbols.h b/shim/third-party/rust/fixups/ring/include/ring_core_generated/prefix_symbols.h
deleted file mode 100644
index 9ee40055ef..0000000000
--- a/shim/third-party/rust/fixups/ring/include/ring_core_generated/prefix_symbols.h
+++ /dev/null
@@ -1,119 +0,0 @@
-
-#ifndef ring_core_generated_PREFIX_SYMBOLS_H
-#define ring_core_generated_PREFIX_SYMBOLS_H
-
-#define ecp_nistz256_point_double p256_point_double
-#define ecp_nistz256_point_add p256_point_add
-#define ecp_nistz256_point_add_affine p256_point_add_affine
-#define ecp_nistz256_ord_mul_mont p256_scalar_mul_mont
-#define ecp_nistz256_ord_sqr_mont p256_scalar_sqr_rep_mont
-#define ecp_nistz256_mul_mont p256_mul_mont
-#define ecp_nistz256_sqr_mont p256_sqr_mont
-#define CRYPTO_memcmp ring_core_0_17_5_CRYPTO_memcmp
-#define CRYPTO_poly1305_finish ring_core_0_17_5_CRYPTO_poly1305_finish
-#define CRYPTO_poly1305_finish_neon ring_core_0_17_5_CRYPTO_poly1305_finish_neon
-#define CRYPTO_poly1305_init ring_core_0_17_5_CRYPTO_poly1305_init
-#define CRYPTO_poly1305_init_neon ring_core_0_17_5_CRYPTO_poly1305_init_neon
-#define CRYPTO_poly1305_update ring_core_0_17_5_CRYPTO_poly1305_update
-#define CRYPTO_poly1305_update_neon ring_core_0_17_5_CRYPTO_poly1305_update_neon
-#define ChaCha20_ctr32 ring_core_0_17_5_ChaCha20_ctr32
-#define LIMBS_add_mod ring_core_0_17_5_LIMBS_add_mod
-#define LIMBS_are_even ring_core_0_17_5_LIMBS_are_even
-#define LIMBS_are_zero ring_core_0_17_5_LIMBS_are_zero
-#define LIMBS_equal ring_core_0_17_5_LIMBS_equal
-#define LIMBS_equal_limb ring_core_0_17_5_LIMBS_equal_limb
-#define LIMBS_less_than ring_core_0_17_5_LIMBS_less_than
-#define LIMBS_less_than_limb ring_core_0_17_5_LIMBS_less_than_limb
-#define LIMBS_reduce_once ring_core_0_17_5_LIMBS_reduce_once
-#define LIMBS_select_512_32 ring_core_0_17_5_LIMBS_select_512_32
-#define LIMBS_shl_mod ring_core_0_17_5_LIMBS_shl_mod
-#define LIMBS_sub_mod ring_core_0_17_5_LIMBS_sub_mod
-#define LIMBS_window5_split_window ring_core_0_17_5_LIMBS_window5_split_window
-#define LIMBS_window5_unsplit_window ring_core_0_17_5_LIMBS_window5_unsplit_window
-#define LIMB_shr ring_core_0_17_5_LIMB_shr
-#define OPENSSL_armcap_P ring_core_0_17_5_OPENSSL_armcap_P
-#define OPENSSL_cpuid_setup ring_core_0_17_5_OPENSSL_cpuid_setup
-#define OPENSSL_ia32cap_P ring_core_0_17_5_OPENSSL_ia32cap_P
-#define aes_hw_ctr32_encrypt_blocks ring_core_0_17_5_aes_hw_ctr32_encrypt_blocks
-#define aes_hw_encrypt ring_core_0_17_5_aes_hw_encrypt
-#define aes_hw_set_encrypt_key ring_core_0_17_5_aes_hw_set_encrypt_key
-#define aes_nohw_ctr32_encrypt_blocks ring_core_0_17_5_aes_nohw_ctr32_encrypt_blocks
-#define aes_nohw_encrypt ring_core_0_17_5_aes_nohw_encrypt
-#define aes_nohw_set_encrypt_key ring_core_0_17_5_aes_nohw_set_encrypt_key
-#define aesni_gcm_decrypt ring_core_0_17_5_aesni_gcm_decrypt
-#define aesni_gcm_encrypt ring_core_0_17_5_aesni_gcm_encrypt
-#define bn_from_montgomery_in_place ring_core_0_17_5_bn_from_montgomery_in_place
-#define bn_gather5 ring_core_0_17_5_bn_gather5
-#define bn_mul_mont ring_core_0_17_5_bn_mul_mont
-#define bn_mul_mont_gather5 ring_core_0_17_5_bn_mul_mont_gather5
-#define bn_neg_inv_mod_r_u64 ring_core_0_17_5_bn_neg_inv_mod_r_u64
-#define bn_power5 ring_core_0_17_5_bn_power5
-#define bn_scatter5 ring_core_0_17_5_bn_scatter5
-#define bn_sqr8x_internal ring_core_0_17_5_bn_sqr8x_internal
-#define bn_sqrx8x_internal ring_core_0_17_5_bn_sqrx8x_internal
-#define bsaes_ctr32_encrypt_blocks ring_core_0_17_5_bsaes_ctr32_encrypt_blocks
-#define bssl_constant_time_test_conditional_memcpy ring_core_0_17_5_bssl_constant_time_test_conditional_memcpy
-#define bssl_constant_time_test_conditional_memxor ring_core_0_17_5_bssl_constant_time_test_conditional_memxor
-#define bssl_constant_time_test_main ring_core_0_17_5_bssl_constant_time_test_main
-#define chacha20_poly1305_open ring_core_0_17_5_chacha20_poly1305_open
-#define chacha20_poly1305_seal ring_core_0_17_5_chacha20_poly1305_seal
-#define fiat_curve25519_adx_mul ring_core_0_17_5_fiat_curve25519_adx_mul
-#define fiat_curve25519_adx_square ring_core_0_17_5_fiat_curve25519_adx_square
-#define gcm_ghash_avx ring_core_0_17_5_gcm_ghash_avx
-#define gcm_ghash_clmul ring_core_0_17_5_gcm_ghash_clmul
-#define gcm_ghash_neon ring_core_0_17_5_gcm_ghash_neon
-#define gcm_gmult_clmul ring_core_0_17_5_gcm_gmult_clmul
-#define gcm_gmult_neon ring_core_0_17_5_gcm_gmult_neon
-#define gcm_init_avx ring_core_0_17_5_gcm_init_avx
-#define gcm_init_clmul ring_core_0_17_5_gcm_init_clmul
-#define gcm_init_neon ring_core_0_17_5_gcm_init_neon
-#define k25519Precomp ring_core_0_17_5_k25519Precomp
-#define limbs_mul_add_limb ring_core_0_17_5_limbs_mul_add_limb
-#define little_endian_bytes_from_scalar ring_core_0_17_5_little_endian_bytes_from_scalar
-#define ecp_nistz256_neg ring_core_0_17_5_ecp_nistz256_neg
-#define ecp_nistz256_select_w5 ring_core_0_17_5_ecp_nistz256_select_w5
-#define ecp_nistz256_select_w7 ring_core_0_17_5_ecp_nistz256_select_w7
-#define p256_mul_mont ring_core_0_17_5_p256_mul_mont
-#define p256_point_add ring_core_0_17_5_p256_point_add
-#define p256_point_add_affine ring_core_0_17_5_p256_point_add_affine
-#define p256_point_double ring_core_0_17_5_p256_point_double
-#define p256_point_mul ring_core_0_17_5_p256_point_mul
-#define p256_point_mul_base ring_core_0_17_5_p256_point_mul_base
-#define p256_point_mul_base_vartime ring_core_0_17_5_p256_point_mul_base_vartime
-#define p256_scalar_mul_mont ring_core_0_17_5_p256_scalar_mul_mont
-#define p256_scalar_sqr_rep_mont ring_core_0_17_5_p256_scalar_sqr_rep_mont
-#define p256_sqr_mont ring_core_0_17_5_p256_sqr_mont
-#define p384_elem_div_by_2 ring_core_0_17_5_p384_elem_div_by_2
-#define p384_elem_mul_mont ring_core_0_17_5_p384_elem_mul_mont
-#define p384_elem_neg ring_core_0_17_5_p384_elem_neg
-#define p384_elem_sub ring_core_0_17_5_p384_elem_sub
-#define p384_point_add ring_core_0_17_5_p384_point_add
-#define p384_point_double ring_core_0_17_5_p384_point_double
-#define p384_point_mul ring_core_0_17_5_p384_point_mul
-#define p384_scalar_mul_mont ring_core_0_17_5_p384_scalar_mul_mont
-#define openssl_poly1305_neon2_addmulmod ring_core_0_17_5_openssl_poly1305_neon2_addmulmod
-#define openssl_poly1305_neon2_blocks ring_core_0_17_5_openssl_poly1305_neon2_blocks
-#define sha256_block_data_order ring_core_0_17_5_sha256_block_data_order
-#define sha512_block_data_order ring_core_0_17_5_sha512_block_data_order
-#define vpaes_ctr32_encrypt_blocks ring_core_0_17_5_vpaes_ctr32_encrypt_blocks
-#define vpaes_encrypt ring_core_0_17_5_vpaes_encrypt
-#define vpaes_encrypt_key_to_bsaes ring_core_0_17_5_vpaes_encrypt_key_to_bsaes
-#define vpaes_set_encrypt_key ring_core_0_17_5_vpaes_set_encrypt_key
-#define x25519_NEON ring_core_0_17_5_x25519_NEON
-#define x25519_fe_invert ring_core_0_17_5_x25519_fe_invert
-#define x25519_fe_isnegative ring_core_0_17_5_x25519_fe_isnegative
-#define x25519_fe_mul_ttt ring_core_0_17_5_x25519_fe_mul_ttt
-#define x25519_fe_neg ring_core_0_17_5_x25519_fe_neg
-#define x25519_fe_tobytes ring_core_0_17_5_x25519_fe_tobytes
-#define x25519_ge_double_scalarmult_vartime ring_core_0_17_5_x25519_ge_double_scalarmult_vartime
-#define x25519_ge_frombytes_vartime ring_core_0_17_5_x25519_ge_frombytes_vartime
-#define x25519_ge_scalarmult_base ring_core_0_17_5_x25519_ge_scalarmult_base
-#define x25519_ge_scalarmult_base_adx ring_core_0_17_5_x25519_ge_scalarmult_base_adx
-#define x25519_public_from_private_generic_masked ring_core_0_17_5_x25519_public_from_private_generic_masked
-#define x25519_sc_mask ring_core_0_17_5_x25519_sc_mask
-#define x25519_sc_muladd ring_core_0_17_5_x25519_sc_muladd
-#define x25519_sc_reduce ring_core_0_17_5_x25519_sc_reduce
-#define x25519_scalar_mult_adx ring_core_0_17_5_x25519_scalar_mult_adx
-#define x25519_scalar_mult_generic_masked ring_core_0_17_5_x25519_scalar_mult_generic_masked
-
-#endif
diff --git a/shim/third-party/rust/fixups/ring/include/ring_core_generated/prefix_symbols_asm.h b/shim/third-party/rust/fixups/ring/include/ring_core_generated/prefix_symbols_asm.h
deleted file mode 100644
index 84e4870915..0000000000
--- a/shim/third-party/rust/fixups/ring/include/ring_core_generated/prefix_symbols_asm.h
+++ /dev/null
@@ -1,236 +0,0 @@
-
-#ifndef ring_core_generated_PREFIX_SYMBOLS_ASM_H
-#define ring_core_generated_PREFIX_SYMBOLS_ASM_H
-
-#if defined(__APPLE__)
-#define _ecp_nistz256_point_double _p256_point_double
-#define _ecp_nistz256_point_add _p256_point_add
-#define _ecp_nistz256_point_add_affine _p256_point_add_affine
-#define _ecp_nistz256_ord_mul_mont _p256_scalar_mul_mont
-#define _ecp_nistz256_ord_sqr_mont _p256_scalar_sqr_rep_mont
-#define _ecp_nistz256_mul_mont _p256_mul_mont
-#define _ecp_nistz256_sqr_mont _p256_sqr_mont
-#define _CRYPTO_memcmp _ring_core_0_17_5_CRYPTO_memcmp
-#define _CRYPTO_poly1305_finish _ring_core_0_17_5_CRYPTO_poly1305_finish
-#define _CRYPTO_poly1305_finish_neon _ring_core_0_17_5_CRYPTO_poly1305_finish_neon
-#define _CRYPTO_poly1305_init _ring_core_0_17_5_CRYPTO_poly1305_init
-#define _CRYPTO_poly1305_init_neon _ring_core_0_17_5_CRYPTO_poly1305_init_neon
-#define _CRYPTO_poly1305_update _ring_core_0_17_5_CRYPTO_poly1305_update
-#define _CRYPTO_poly1305_update_neon _ring_core_0_17_5_CRYPTO_poly1305_update_neon
-#define _ChaCha20_ctr32 _ring_core_0_17_5_ChaCha20_ctr32
-#define _LIMBS_add_mod _ring_core_0_17_5_LIMBS_add_mod
-#define _LIMBS_are_even _ring_core_0_17_5_LIMBS_are_even
-#define _LIMBS_are_zero _ring_core_0_17_5_LIMBS_are_zero
-#define _LIMBS_equal _ring_core_0_17_5_LIMBS_equal
-#define _LIMBS_equal_limb _ring_core_0_17_5_LIMBS_equal_limb
-#define _LIMBS_less_than _ring_core_0_17_5_LIMBS_less_than
-#define _LIMBS_less_than_limb _ring_core_0_17_5_LIMBS_less_than_limb
-#define _LIMBS_reduce_once _ring_core_0_17_5_LIMBS_reduce_once
-#define _LIMBS_select_512_32 _ring_core_0_17_5_LIMBS_select_512_32
-#define _LIMBS_shl_mod _ring_core_0_17_5_LIMBS_shl_mod
-#define _LIMBS_sub_mod _ring_core_0_17_5_LIMBS_sub_mod
-#define _LIMBS_window5_split_window _ring_core_0_17_5_LIMBS_window5_split_window
-#define _LIMBS_window5_unsplit_window _ring_core_0_17_5_LIMBS_window5_unsplit_window
-#define _LIMB_shr _ring_core_0_17_5_LIMB_shr
-#define _OPENSSL_armcap_P _ring_core_0_17_5_OPENSSL_armcap_P
-#define _OPENSSL_cpuid_setup _ring_core_0_17_5_OPENSSL_cpuid_setup
-#define _OPENSSL_ia32cap_P _ring_core_0_17_5_OPENSSL_ia32cap_P
-#define _aes_hw_ctr32_encrypt_blocks _ring_core_0_17_5_aes_hw_ctr32_encrypt_blocks
-#define _aes_hw_encrypt _ring_core_0_17_5_aes_hw_encrypt
-#define _aes_hw_set_encrypt_key _ring_core_0_17_5_aes_hw_set_encrypt_key
-#define _aes_nohw_ctr32_encrypt_blocks _ring_core_0_17_5_aes_nohw_ctr32_encrypt_blocks
-#define _aes_nohw_encrypt _ring_core_0_17_5_aes_nohw_encrypt
-#define _aes_nohw_set_encrypt_key _ring_core_0_17_5_aes_nohw_set_encrypt_key
-#define _aesni_gcm_decrypt _ring_core_0_17_5_aesni_gcm_decrypt
-#define _aesni_gcm_encrypt _ring_core_0_17_5_aesni_gcm_encrypt
-#define _bn_from_montgomery_in_place _ring_core_0_17_5_bn_from_montgomery_in_place
-#define _bn_gather5 _ring_core_0_17_5_bn_gather5
-#define _bn_mul_mont _ring_core_0_17_5_bn_mul_mont
-#define _bn_mul_mont_gather5 _ring_core_0_17_5_bn_mul_mont_gather5
-#define _bn_neg_inv_mod_r_u64 _ring_core_0_17_5_bn_neg_inv_mod_r_u64
-#define _bn_power5 _ring_core_0_17_5_bn_power5
-#define _bn_scatter5 _ring_core_0_17_5_bn_scatter5
-#define _bn_sqr8x_internal _ring_core_0_17_5_bn_sqr8x_internal
-#define _bn_sqrx8x_internal _ring_core_0_17_5_bn_sqrx8x_internal
-#define _bsaes_ctr32_encrypt_blocks _ring_core_0_17_5_bsaes_ctr32_encrypt_blocks
-#define _bssl_constant_time_test_conditional_memcpy _ring_core_0_17_5_bssl_constant_time_test_conditional_memcpy
-#define _bssl_constant_time_test_conditional_memxor _ring_core_0_17_5_bssl_constant_time_test_conditional_memxor
-#define _bssl_constant_time_test_main _ring_core_0_17_5_bssl_constant_time_test_main
-#define _chacha20_poly1305_open _ring_core_0_17_5_chacha20_poly1305_open
-#define _chacha20_poly1305_seal _ring_core_0_17_5_chacha20_poly1305_seal
-#define _fiat_curve25519_adx_mul _ring_core_0_17_5_fiat_curve25519_adx_mul
-#define _fiat_curve25519_adx_square _ring_core_0_17_5_fiat_curve25519_adx_square
-#define _gcm_ghash_avx _ring_core_0_17_5_gcm_ghash_avx
-#define _gcm_ghash_clmul _ring_core_0_17_5_gcm_ghash_clmul
-#define _gcm_ghash_neon _ring_core_0_17_5_gcm_ghash_neon
-#define _gcm_gmult_clmul _ring_core_0_17_5_gcm_gmult_clmul
-#define _gcm_gmult_neon _ring_core_0_17_5_gcm_gmult_neon
-#define _gcm_init_avx _ring_core_0_17_5_gcm_init_avx
-#define _gcm_init_clmul _ring_core_0_17_5_gcm_init_clmul
-#define _gcm_init_neon _ring_core_0_17_5_gcm_init_neon
-#define _k25519Precomp _ring_core_0_17_5_k25519Precomp
-#define _limbs_mul_add_limb _ring_core_0_17_5_limbs_mul_add_limb
-#define _little_endian_bytes_from_scalar _ring_core_0_17_5_little_endian_bytes_from_scalar
-#define _ecp_nistz256_neg _ring_core_0_17_5_ecp_nistz256_neg
-#define _ecp_nistz256_select_w5 _ring_core_0_17_5_ecp_nistz256_select_w5
-#define _ecp_nistz256_select_w7 _ring_core_0_17_5_ecp_nistz256_select_w7
-#define _p256_mul_mont _ring_core_0_17_5_p256_mul_mont
-#define _p256_point_add _ring_core_0_17_5_p256_point_add
-#define _p256_point_add_affine _ring_core_0_17_5_p256_point_add_affine
-#define _p256_point_double _ring_core_0_17_5_p256_point_double
-#define _p256_point_mul _ring_core_0_17_5_p256_point_mul
-#define _p256_point_mul_base _ring_core_0_17_5_p256_point_mul_base
-#define _p256_point_mul_base_vartime _ring_core_0_17_5_p256_point_mul_base_vartime
-#define _p256_scalar_mul_mont _ring_core_0_17_5_p256_scalar_mul_mont
-#define _p256_scalar_sqr_rep_mont _ring_core_0_17_5_p256_scalar_sqr_rep_mont
-#define _p256_sqr_mont _ring_core_0_17_5_p256_sqr_mont
-#define _p384_elem_div_by_2 _ring_core_0_17_5_p384_elem_div_by_2
-#define _p384_elem_mul_mont _ring_core_0_17_5_p384_elem_mul_mont
-#define _p384_elem_neg _ring_core_0_17_5_p384_elem_neg
-#define _p384_elem_sub _ring_core_0_17_5_p384_elem_sub
-#define _p384_point_add _ring_core_0_17_5_p384_point_add
-#define _p384_point_double _ring_core_0_17_5_p384_point_double
-#define _p384_point_mul _ring_core_0_17_5_p384_point_mul
-#define _p384_scalar_mul_mont _ring_core_0_17_5_p384_scalar_mul_mont
-#define _openssl_poly1305_neon2_addmulmod _ring_core_0_17_5_openssl_poly1305_neon2_addmulmod
-#define _openssl_poly1305_neon2_blocks _ring_core_0_17_5_openssl_poly1305_neon2_blocks
-#define _sha256_block_data_order _ring_core_0_17_5_sha256_block_data_order
-#define _sha512_block_data_order _ring_core_0_17_5_sha512_block_data_order
-#define _vpaes_ctr32_encrypt_blocks _ring_core_0_17_5_vpaes_ctr32_encrypt_blocks
-#define _vpaes_encrypt _ring_core_0_17_5_vpaes_encrypt
-#define _vpaes_encrypt_key_to_bsaes _ring_core_0_17_5_vpaes_encrypt_key_to_bsaes
-#define _vpaes_set_encrypt_key _ring_core_0_17_5_vpaes_set_encrypt_key
-#define _x25519_NEON _ring_core_0_17_5_x25519_NEON
-#define _x25519_fe_invert _ring_core_0_17_5_x25519_fe_invert
-#define _x25519_fe_isnegative _ring_core_0_17_5_x25519_fe_isnegative
-#define _x25519_fe_mul_ttt _ring_core_0_17_5_x25519_fe_mul_ttt
-#define _x25519_fe_neg _ring_core_0_17_5_x25519_fe_neg
-#define _x25519_fe_tobytes _ring_core_0_17_5_x25519_fe_tobytes
-#define _x25519_ge_double_scalarmult_vartime _ring_core_0_17_5_x25519_ge_double_scalarmult_vartime
-#define _x25519_ge_frombytes_vartime _ring_core_0_17_5_x25519_ge_frombytes_vartime
-#define _x25519_ge_scalarmult_base _ring_core_0_17_5_x25519_ge_scalarmult_base
-#define _x25519_ge_scalarmult_base_adx _ring_core_0_17_5_x25519_ge_scalarmult_base_adx
-#define _x25519_public_from_private_generic_masked _ring_core_0_17_5_x25519_public_from_private_generic_masked
-#define _x25519_sc_mask _ring_core_0_17_5_x25519_sc_mask
-#define _x25519_sc_muladd _ring_core_0_17_5_x25519_sc_muladd
-#define _x25519_sc_reduce _ring_core_0_17_5_x25519_sc_reduce
-#define _x25519_scalar_mult_adx _ring_core_0_17_5_x25519_scalar_mult_adx
-#define _x25519_scalar_mult_generic_masked _ring_core_0_17_5_x25519_scalar_mult_generic_masked
-
-#else
-#define ecp_nistz256_point_double p256_point_double
-#define ecp_nistz256_point_add p256_point_add
-#define ecp_nistz256_point_add_affine p256_point_add_affine
-#define ecp_nistz256_ord_mul_mont p256_scalar_mul_mont
-#define ecp_nistz256_ord_sqr_mont p256_scalar_sqr_rep_mont
-#define ecp_nistz256_mul_mont p256_mul_mont
-#define ecp_nistz256_sqr_mont p256_sqr_mont
-#define CRYPTO_memcmp ring_core_0_17_5_CRYPTO_memcmp
-#define CRYPTO_poly1305_finish ring_core_0_17_5_CRYPTO_poly1305_finish
-#define CRYPTO_poly1305_finish_neon ring_core_0_17_5_CRYPTO_poly1305_finish_neon
-#define CRYPTO_poly1305_init ring_core_0_17_5_CRYPTO_poly1305_init
-#define CRYPTO_poly1305_init_neon ring_core_0_17_5_CRYPTO_poly1305_init_neon
-#define CRYPTO_poly1305_update ring_core_0_17_5_CRYPTO_poly1305_update
-#define CRYPTO_poly1305_update_neon ring_core_0_17_5_CRYPTO_poly1305_update_neon
-#define ChaCha20_ctr32 ring_core_0_17_5_ChaCha20_ctr32
-#define LIMBS_add_mod ring_core_0_17_5_LIMBS_add_mod
-#define LIMBS_are_even ring_core_0_17_5_LIMBS_are_even
-#define LIMBS_are_zero ring_core_0_17_5_LIMBS_are_zero
-#define LIMBS_equal ring_core_0_17_5_LIMBS_equal
-#define LIMBS_equal_limb ring_core_0_17_5_LIMBS_equal_limb
-#define LIMBS_less_than ring_core_0_17_5_LIMBS_less_than
-#define LIMBS_less_than_limb ring_core_0_17_5_LIMBS_less_than_limb
-#define LIMBS_reduce_once ring_core_0_17_5_LIMBS_reduce_once
-#define LIMBS_select_512_32 ring_core_0_17_5_LIMBS_select_512_32
-#define LIMBS_shl_mod ring_core_0_17_5_LIMBS_shl_mod
-#define LIMBS_sub_mod ring_core_0_17_5_LIMBS_sub_mod
-#define LIMBS_window5_split_window ring_core_0_17_5_LIMBS_window5_split_window
-#define LIMBS_window5_unsplit_window ring_core_0_17_5_LIMBS_window5_unsplit_window
-#define LIMB_shr ring_core_0_17_5_LIMB_shr
-#define OPENSSL_armcap_P ring_core_0_17_5_OPENSSL_armcap_P
-#define OPENSSL_cpuid_setup ring_core_0_17_5_OPENSSL_cpuid_setup
-#define OPENSSL_ia32cap_P ring_core_0_17_5_OPENSSL_ia32cap_P
-#define aes_hw_ctr32_encrypt_blocks ring_core_0_17_5_aes_hw_ctr32_encrypt_blocks
-#define aes_hw_encrypt ring_core_0_17_5_aes_hw_encrypt
-#define aes_hw_set_encrypt_key ring_core_0_17_5_aes_hw_set_encrypt_key
-#define aes_nohw_ctr32_encrypt_blocks ring_core_0_17_5_aes_nohw_ctr32_encrypt_blocks
-#define aes_nohw_encrypt ring_core_0_17_5_aes_nohw_encrypt
-#define aes_nohw_set_encrypt_key ring_core_0_17_5_aes_nohw_set_encrypt_key
-#define aesni_gcm_decrypt ring_core_0_17_5_aesni_gcm_decrypt
-#define aesni_gcm_encrypt ring_core_0_17_5_aesni_gcm_encrypt
-#define bn_from_montgomery_in_place ring_core_0_17_5_bn_from_montgomery_in_place
-#define bn_gather5 ring_core_0_17_5_bn_gather5
-#define bn_mul_mont ring_core_0_17_5_bn_mul_mont
-#define bn_mul_mont_gather5 ring_core_0_17_5_bn_mul_mont_gather5
-#define bn_neg_inv_mod_r_u64 ring_core_0_17_5_bn_neg_inv_mod_r_u64
-#define bn_power5 ring_core_0_17_5_bn_power5
-#define bn_scatter5 ring_core_0_17_5_bn_scatter5
-#define bn_sqr8x_internal ring_core_0_17_5_bn_sqr8x_internal
-#define bn_sqrx8x_internal ring_core_0_17_5_bn_sqrx8x_internal
-#define bsaes_ctr32_encrypt_blocks ring_core_0_17_5_bsaes_ctr32_encrypt_blocks
-#define bssl_constant_time_test_conditional_memcpy ring_core_0_17_5_bssl_constant_time_test_conditional_memcpy
-#define bssl_constant_time_test_conditional_memxor ring_core_0_17_5_bssl_constant_time_test_conditional_memxor
-#define bssl_constant_time_test_main ring_core_0_17_5_bssl_constant_time_test_main
-#define chacha20_poly1305_open ring_core_0_17_5_chacha20_poly1305_open
-#define chacha20_poly1305_seal ring_core_0_17_5_chacha20_poly1305_seal
-#define fiat_curve25519_adx_mul ring_core_0_17_5_fiat_curve25519_adx_mul
-#define fiat_curve25519_adx_square ring_core_0_17_5_fiat_curve25519_adx_square
-#define gcm_ghash_avx ring_core_0_17_5_gcm_ghash_avx
-#define gcm_ghash_clmul ring_core_0_17_5_gcm_ghash_clmul
-#define gcm_ghash_neon ring_core_0_17_5_gcm_ghash_neon
-#define gcm_gmult_clmul ring_core_0_17_5_gcm_gmult_clmul
-#define gcm_gmult_neon ring_core_0_17_5_gcm_gmult_neon
-#define gcm_init_avx ring_core_0_17_5_gcm_init_avx
-#define gcm_init_clmul ring_core_0_17_5_gcm_init_clmul
-#define gcm_init_neon ring_core_0_17_5_gcm_init_neon
-#define k25519Precomp ring_core_0_17_5_k25519Precomp
-#define limbs_mul_add_limb ring_core_0_17_5_limbs_mul_add_limb
-#define little_endian_bytes_from_scalar ring_core_0_17_5_little_endian_bytes_from_scalar
-#define ecp_nistz256_neg ring_core_0_17_5_ecp_nistz256_neg
-#define ecp_nistz256_select_w5 ring_core_0_17_5_ecp_nistz256_select_w5
-#define ecp_nistz256_select_w7 ring_core_0_17_5_ecp_nistz256_select_w7
-#define p256_mul_mont ring_core_0_17_5_p256_mul_mont
-#define p256_point_add ring_core_0_17_5_p256_point_add
-#define p256_point_add_affine ring_core_0_17_5_p256_point_add_affine
-#define p256_point_double ring_core_0_17_5_p256_point_double
-#define p256_point_mul ring_core_0_17_5_p256_point_mul
-#define p256_point_mul_base ring_core_0_17_5_p256_point_mul_base
-#define p256_point_mul_base_vartime ring_core_0_17_5_p256_point_mul_base_vartime
-#define p256_scalar_mul_mont ring_core_0_17_5_p256_scalar_mul_mont
-#define p256_scalar_sqr_rep_mont ring_core_0_17_5_p256_scalar_sqr_rep_mont
-#define p256_sqr_mont ring_core_0_17_5_p256_sqr_mont
-#define p384_elem_div_by_2 ring_core_0_17_5_p384_elem_div_by_2
-#define p384_elem_mul_mont ring_core_0_17_5_p384_elem_mul_mont
-#define p384_elem_neg ring_core_0_17_5_p384_elem_neg
-#define p384_elem_sub ring_core_0_17_5_p384_elem_sub
-#define p384_point_add ring_core_0_17_5_p384_point_add
-#define p384_point_double ring_core_0_17_5_p384_point_double
-#define p384_point_mul ring_core_0_17_5_p384_point_mul
-#define p384_scalar_mul_mont ring_core_0_17_5_p384_scalar_mul_mont
-#define openssl_poly1305_neon2_addmulmod ring_core_0_17_5_openssl_poly1305_neon2_addmulmod
-#define openssl_poly1305_neon2_blocks ring_core_0_17_5_openssl_poly1305_neon2_blocks
-#define sha256_block_data_order ring_core_0_17_5_sha256_block_data_order
-#define sha512_block_data_order ring_core_0_17_5_sha512_block_data_order
-#define vpaes_ctr32_encrypt_blocks ring_core_0_17_5_vpaes_ctr32_encrypt_blocks
-#define vpaes_encrypt ring_core_0_17_5_vpaes_encrypt
-#define vpaes_encrypt_key_to_bsaes ring_core_0_17_5_vpaes_encrypt_key_to_bsaes
-#define vpaes_set_encrypt_key ring_core_0_17_5_vpaes_set_encrypt_key
-#define x25519_NEON ring_core_0_17_5_x25519_NEON
-#define x25519_fe_invert ring_core_0_17_5_x25519_fe_invert
-#define x25519_fe_isnegative ring_core_0_17_5_x25519_fe_isnegative
-#define x25519_fe_mul_ttt ring_core_0_17_5_x25519_fe_mul_ttt
-#define x25519_fe_neg ring_core_0_17_5_x25519_fe_neg
-#define x25519_fe_tobytes ring_core_0_17_5_x25519_fe_tobytes
-#define x25519_ge_double_scalarmult_vartime ring_core_0_17_5_x25519_ge_double_scalarmult_vartime
-#define x25519_ge_frombytes_vartime ring_core_0_17_5_x25519_ge_frombytes_vartime
-#define x25519_ge_scalarmult_base ring_core_0_17_5_x25519_ge_scalarmult_base
-#define x25519_ge_scalarmult_base_adx ring_core_0_17_5_x25519_ge_scalarmult_base_adx
-#define x25519_public_from_private_generic_masked ring_core_0_17_5_x25519_public_from_private_generic_masked
-#define x25519_sc_mask ring_core_0_17_5_x25519_sc_mask
-#define x25519_sc_muladd ring_core_0_17_5_x25519_sc_muladd
-#define x25519_sc_reduce ring_core_0_17_5_x25519_sc_reduce
-#define x25519_scalar_mult_adx ring_core_0_17_5_x25519_scalar_mult_adx
-#define x25519_scalar_mult_generic_masked ring_core_0_17_5_x25519_scalar_mult_generic_masked
-
-#endif
-#endif
diff --git a/shim/third-party/rust/fixups/ring/include/ring_core_generated/prefix_symbols_nasm.inc b/shim/third-party/rust/fixups/ring/include/ring_core_generated/prefix_symbols_nasm.inc
deleted file mode 100644
index 50e986a6a6..0000000000
--- a/shim/third-party/rust/fixups/ring/include/ring_core_generated/prefix_symbols_nasm.inc
+++ /dev/null
@@ -1,236 +0,0 @@
-
-%ifndef ring_core_generated_PREFIX_SYMBOLS_NASM_INC
-%define ring_core_generated_PREFIX_SYMBOLS_NASM_INC
-
-%ifidn __OUTPUT_FORMAT__,win32
-%define _ecp_nistz256_point_double _p256_point_double
-%define _ecp_nistz256_point_add _p256_point_add
-%define _ecp_nistz256_point_add_affine _p256_point_add_affine
-%define _ecp_nistz256_ord_mul_mont _p256_scalar_mul_mont
-%define _ecp_nistz256_ord_sqr_mont _p256_scalar_sqr_rep_mont
-%define _ecp_nistz256_mul_mont _p256_mul_mont
-%define _ecp_nistz256_sqr_mont _p256_sqr_mont
-%define _CRYPTO_memcmp _ring_core_0_17_5_CRYPTO_memcmp
-%define _CRYPTO_poly1305_finish _ring_core_0_17_5_CRYPTO_poly1305_finish
-%define _CRYPTO_poly1305_finish_neon _ring_core_0_17_5_CRYPTO_poly1305_finish_neon
-%define _CRYPTO_poly1305_init _ring_core_0_17_5_CRYPTO_poly1305_init
-%define _CRYPTO_poly1305_init_neon _ring_core_0_17_5_CRYPTO_poly1305_init_neon
-%define _CRYPTO_poly1305_update _ring_core_0_17_5_CRYPTO_poly1305_update
-%define _CRYPTO_poly1305_update_neon _ring_core_0_17_5_CRYPTO_poly1305_update_neon
-%define _ChaCha20_ctr32 _ring_core_0_17_5_ChaCha20_ctr32
-%define _LIMBS_add_mod _ring_core_0_17_5_LIMBS_add_mod
-%define _LIMBS_are_even _ring_core_0_17_5_LIMBS_are_even
-%define _LIMBS_are_zero _ring_core_0_17_5_LIMBS_are_zero
-%define _LIMBS_equal _ring_core_0_17_5_LIMBS_equal
-%define _LIMBS_equal_limb _ring_core_0_17_5_LIMBS_equal_limb
-%define _LIMBS_less_than _ring_core_0_17_5_LIMBS_less_than
-%define _LIMBS_less_than_limb _ring_core_0_17_5_LIMBS_less_than_limb
-%define _LIMBS_reduce_once _ring_core_0_17_5_LIMBS_reduce_once
-%define _LIMBS_select_512_32 _ring_core_0_17_5_LIMBS_select_512_32
-%define _LIMBS_shl_mod _ring_core_0_17_5_LIMBS_shl_mod
-%define _LIMBS_sub_mod _ring_core_0_17_5_LIMBS_sub_mod
-%define _LIMBS_window5_split_window _ring_core_0_17_5_LIMBS_window5_split_window
-%define _LIMBS_window5_unsplit_window _ring_core_0_17_5_LIMBS_window5_unsplit_window
-%define _LIMB_shr _ring_core_0_17_5_LIMB_shr
-%define _OPENSSL_armcap_P _ring_core_0_17_5_OPENSSL_armcap_P
-%define _OPENSSL_cpuid_setup _ring_core_0_17_5_OPENSSL_cpuid_setup
-%define _OPENSSL_ia32cap_P _ring_core_0_17_5_OPENSSL_ia32cap_P
-%define _aes_hw_ctr32_encrypt_blocks _ring_core_0_17_5_aes_hw_ctr32_encrypt_blocks
-%define _aes_hw_encrypt _ring_core_0_17_5_aes_hw_encrypt
-%define _aes_hw_set_encrypt_key _ring_core_0_17_5_aes_hw_set_encrypt_key
-%define _aes_nohw_ctr32_encrypt_blocks _ring_core_0_17_5_aes_nohw_ctr32_encrypt_blocks
-%define _aes_nohw_encrypt _ring_core_0_17_5_aes_nohw_encrypt
-%define _aes_nohw_set_encrypt_key _ring_core_0_17_5_aes_nohw_set_encrypt_key
-%define _aesni_gcm_decrypt _ring_core_0_17_5_aesni_gcm_decrypt
-%define _aesni_gcm_encrypt _ring_core_0_17_5_aesni_gcm_encrypt
-%define _bn_from_montgomery_in_place _ring_core_0_17_5_bn_from_montgomery_in_place
-%define _bn_gather5 _ring_core_0_17_5_bn_gather5
-%define _bn_mul_mont _ring_core_0_17_5_bn_mul_mont
-%define _bn_mul_mont_gather5 _ring_core_0_17_5_bn_mul_mont_gather5
-%define _bn_neg_inv_mod_r_u64 _ring_core_0_17_5_bn_neg_inv_mod_r_u64
-%define _bn_power5 _ring_core_0_17_5_bn_power5
-%define _bn_scatter5 _ring_core_0_17_5_bn_scatter5
-%define _bn_sqr8x_internal _ring_core_0_17_5_bn_sqr8x_internal
-%define _bn_sqrx8x_internal _ring_core_0_17_5_bn_sqrx8x_internal
-%define _bsaes_ctr32_encrypt_blocks _ring_core_0_17_5_bsaes_ctr32_encrypt_blocks
-%define _bssl_constant_time_test_conditional_memcpy _ring_core_0_17_5_bssl_constant_time_test_conditional_memcpy
-%define _bssl_constant_time_test_conditional_memxor _ring_core_0_17_5_bssl_constant_time_test_conditional_memxor
-%define _bssl_constant_time_test_main _ring_core_0_17_5_bssl_constant_time_test_main
-%define _chacha20_poly1305_open _ring_core_0_17_5_chacha20_poly1305_open
-%define _chacha20_poly1305_seal _ring_core_0_17_5_chacha20_poly1305_seal
-%define _fiat_curve25519_adx_mul _ring_core_0_17_5_fiat_curve25519_adx_mul
-%define _fiat_curve25519_adx_square _ring_core_0_17_5_fiat_curve25519_adx_square
-%define _gcm_ghash_avx _ring_core_0_17_5_gcm_ghash_avx
-%define _gcm_ghash_clmul _ring_core_0_17_5_gcm_ghash_clmul
-%define _gcm_ghash_neon _ring_core_0_17_5_gcm_ghash_neon
-%define _gcm_gmult_clmul _ring_core_0_17_5_gcm_gmult_clmul
-%define _gcm_gmult_neon _ring_core_0_17_5_gcm_gmult_neon
-%define _gcm_init_avx _ring_core_0_17_5_gcm_init_avx
-%define _gcm_init_clmul _ring_core_0_17_5_gcm_init_clmul
-%define _gcm_init_neon _ring_core_0_17_5_gcm_init_neon
-%define _k25519Precomp _ring_core_0_17_5_k25519Precomp
-%define _limbs_mul_add_limb _ring_core_0_17_5_limbs_mul_add_limb
-%define _little_endian_bytes_from_scalar _ring_core_0_17_5_little_endian_bytes_from_scalar
-%define _ecp_nistz256_neg _ring_core_0_17_5_ecp_nistz256_neg
-%define _ecp_nistz256_select_w5 _ring_core_0_17_5_ecp_nistz256_select_w5
-%define _ecp_nistz256_select_w7 _ring_core_0_17_5_ecp_nistz256_select_w7
-%define _p256_mul_mont _ring_core_0_17_5_p256_mul_mont
-%define _p256_point_add _ring_core_0_17_5_p256_point_add
-%define _p256_point_add_affine _ring_core_0_17_5_p256_point_add_affine
-%define _p256_point_double _ring_core_0_17_5_p256_point_double
-%define _p256_point_mul _ring_core_0_17_5_p256_point_mul
-%define _p256_point_mul_base _ring_core_0_17_5_p256_point_mul_base
-%define _p256_point_mul_base_vartime _ring_core_0_17_5_p256_point_mul_base_vartime
-%define _p256_scalar_mul_mont _ring_core_0_17_5_p256_scalar_mul_mont
-%define _p256_scalar_sqr_rep_mont _ring_core_0_17_5_p256_scalar_sqr_rep_mont
-%define _p256_sqr_mont _ring_core_0_17_5_p256_sqr_mont
-%define _p384_elem_div_by_2 _ring_core_0_17_5_p384_elem_div_by_2
-%define _p384_elem_mul_mont _ring_core_0_17_5_p384_elem_mul_mont
-%define _p384_elem_neg _ring_core_0_17_5_p384_elem_neg
-%define _p384_elem_sub _ring_core_0_17_5_p384_elem_sub
-%define _p384_point_add _ring_core_0_17_5_p384_point_add
-%define _p384_point_double _ring_core_0_17_5_p384_point_double
-%define _p384_point_mul _ring_core_0_17_5_p384_point_mul
-%define _p384_scalar_mul_mont _ring_core_0_17_5_p384_scalar_mul_mont
-%define _openssl_poly1305_neon2_addmulmod _ring_core_0_17_5_openssl_poly1305_neon2_addmulmod
-%define _openssl_poly1305_neon2_blocks _ring_core_0_17_5_openssl_poly1305_neon2_blocks
-%define _sha256_block_data_order _ring_core_0_17_5_sha256_block_data_order
-%define _sha512_block_data_order _ring_core_0_17_5_sha512_block_data_order
-%define _vpaes_ctr32_encrypt_blocks _ring_core_0_17_5_vpaes_ctr32_encrypt_blocks
-%define _vpaes_encrypt _ring_core_0_17_5_vpaes_encrypt
-%define _vpaes_encrypt_key_to_bsaes _ring_core_0_17_5_vpaes_encrypt_key_to_bsaes
-%define _vpaes_set_encrypt_key _ring_core_0_17_5_vpaes_set_encrypt_key
-%define _x25519_NEON _ring_core_0_17_5_x25519_NEON
-%define _x25519_fe_invert _ring_core_0_17_5_x25519_fe_invert
-%define _x25519_fe_isnegative _ring_core_0_17_5_x25519_fe_isnegative
-%define _x25519_fe_mul_ttt _ring_core_0_17_5_x25519_fe_mul_ttt
-%define _x25519_fe_neg _ring_core_0_17_5_x25519_fe_neg
-%define _x25519_fe_tobytes _ring_core_0_17_5_x25519_fe_tobytes
-%define _x25519_ge_double_scalarmult_vartime _ring_core_0_17_5_x25519_ge_double_scalarmult_vartime
-%define _x25519_ge_frombytes_vartime _ring_core_0_17_5_x25519_ge_frombytes_vartime
-%define _x25519_ge_scalarmult_base _ring_core_0_17_5_x25519_ge_scalarmult_base
-%define _x25519_ge_scalarmult_base_adx _ring_core_0_17_5_x25519_ge_scalarmult_base_adx
-%define _x25519_public_from_private_generic_masked _ring_core_0_17_5_x25519_public_from_private_generic_masked
-%define _x25519_sc_mask _ring_core_0_17_5_x25519_sc_mask
-%define _x25519_sc_muladd _ring_core_0_17_5_x25519_sc_muladd
-%define _x25519_sc_reduce _ring_core_0_17_5_x25519_sc_reduce
-%define _x25519_scalar_mult_adx _ring_core_0_17_5_x25519_scalar_mult_adx
-%define _x25519_scalar_mult_generic_masked _ring_core_0_17_5_x25519_scalar_mult_generic_masked
-
-%else
-%define ecp_nistz256_point_double p256_point_double
-%define ecp_nistz256_point_add p256_point_add
-%define ecp_nistz256_point_add_affine p256_point_add_affine
-%define ecp_nistz256_ord_mul_mont p256_scalar_mul_mont
-%define ecp_nistz256_ord_sqr_mont p256_scalar_sqr_rep_mont
-%define ecp_nistz256_mul_mont p256_mul_mont
-%define ecp_nistz256_sqr_mont p256_sqr_mont
-%define CRYPTO_memcmp ring_core_0_17_5_CRYPTO_memcmp
-%define CRYPTO_poly1305_finish ring_core_0_17_5_CRYPTO_poly1305_finish
-%define CRYPTO_poly1305_finish_neon ring_core_0_17_5_CRYPTO_poly1305_finish_neon
-%define CRYPTO_poly1305_init ring_core_0_17_5_CRYPTO_poly1305_init
-%define CRYPTO_poly1305_init_neon ring_core_0_17_5_CRYPTO_poly1305_init_neon
-%define CRYPTO_poly1305_update ring_core_0_17_5_CRYPTO_poly1305_update
-%define CRYPTO_poly1305_update_neon ring_core_0_17_5_CRYPTO_poly1305_update_neon
-%define ChaCha20_ctr32 ring_core_0_17_5_ChaCha20_ctr32
-%define LIMBS_add_mod ring_core_0_17_5_LIMBS_add_mod
-%define LIMBS_are_even ring_core_0_17_5_LIMBS_are_even
-%define LIMBS_are_zero ring_core_0_17_5_LIMBS_are_zero
-%define LIMBS_equal ring_core_0_17_5_LIMBS_equal
-%define LIMBS_equal_limb ring_core_0_17_5_LIMBS_equal_limb
-%define LIMBS_less_than ring_core_0_17_5_LIMBS_less_than
-%define LIMBS_less_than_limb ring_core_0_17_5_LIMBS_less_than_limb
-%define LIMBS_reduce_once ring_core_0_17_5_LIMBS_reduce_once
-%define LIMBS_select_512_32 ring_core_0_17_5_LIMBS_select_512_32
-%define LIMBS_shl_mod ring_core_0_17_5_LIMBS_shl_mod
-%define LIMBS_sub_mod ring_core_0_17_5_LIMBS_sub_mod
-%define LIMBS_window5_split_window ring_core_0_17_5_LIMBS_window5_split_window
-%define LIMBS_window5_unsplit_window ring_core_0_17_5_LIMBS_window5_unsplit_window
-%define LIMB_shr ring_core_0_17_5_LIMB_shr
-%define OPENSSL_armcap_P ring_core_0_17_5_OPENSSL_armcap_P
-%define OPENSSL_cpuid_setup ring_core_0_17_5_OPENSSL_cpuid_setup
-%define OPENSSL_ia32cap_P ring_core_0_17_5_OPENSSL_ia32cap_P
-%define aes_hw_ctr32_encrypt_blocks ring_core_0_17_5_aes_hw_ctr32_encrypt_blocks
-%define aes_hw_encrypt ring_core_0_17_5_aes_hw_encrypt
-%define aes_hw_set_encrypt_key ring_core_0_17_5_aes_hw_set_encrypt_key
-%define aes_nohw_ctr32_encrypt_blocks ring_core_0_17_5_aes_nohw_ctr32_encrypt_blocks
-%define aes_nohw_encrypt ring_core_0_17_5_aes_nohw_encrypt
-%define aes_nohw_set_encrypt_key ring_core_0_17_5_aes_nohw_set_encrypt_key
-%define aesni_gcm_decrypt ring_core_0_17_5_aesni_gcm_decrypt
-%define aesni_gcm_encrypt ring_core_0_17_5_aesni_gcm_encrypt
-%define bn_from_montgomery_in_place ring_core_0_17_5_bn_from_montgomery_in_place
-%define bn_gather5 ring_core_0_17_5_bn_gather5
-%define bn_mul_mont ring_core_0_17_5_bn_mul_mont
-%define bn_mul_mont_gather5 ring_core_0_17_5_bn_mul_mont_gather5
-%define bn_neg_inv_mod_r_u64 ring_core_0_17_5_bn_neg_inv_mod_r_u64
-%define bn_power5 ring_core_0_17_5_bn_power5
-%define bn_scatter5 ring_core_0_17_5_bn_scatter5
-%define bn_sqr8x_internal ring_core_0_17_5_bn_sqr8x_internal
-%define bn_sqrx8x_internal ring_core_0_17_5_bn_sqrx8x_internal
-%define bsaes_ctr32_encrypt_blocks ring_core_0_17_5_bsaes_ctr32_encrypt_blocks
-%define bssl_constant_time_test_conditional_memcpy ring_core_0_17_5_bssl_constant_time_test_conditional_memcpy
-%define bssl_constant_time_test_conditional_memxor ring_core_0_17_5_bssl_constant_time_test_conditional_memxor
-%define bssl_constant_time_test_main ring_core_0_17_5_bssl_constant_time_test_main
-%define chacha20_poly1305_open ring_core_0_17_5_chacha20_poly1305_open
-%define chacha20_poly1305_seal ring_core_0_17_5_chacha20_poly1305_seal
-%define fiat_curve25519_adx_mul ring_core_0_17_5_fiat_curve25519_adx_mul
-%define fiat_curve25519_adx_square ring_core_0_17_5_fiat_curve25519_adx_square
-%define gcm_ghash_avx ring_core_0_17_5_gcm_ghash_avx
-%define gcm_ghash_clmul ring_core_0_17_5_gcm_ghash_clmul
-%define gcm_ghash_neon ring_core_0_17_5_gcm_ghash_neon
-%define gcm_gmult_clmul ring_core_0_17_5_gcm_gmult_clmul
-%define gcm_gmult_neon ring_core_0_17_5_gcm_gmult_neon
-%define gcm_init_avx ring_core_0_17_5_gcm_init_avx
-%define gcm_init_clmul ring_core_0_17_5_gcm_init_clmul
-%define gcm_init_neon ring_core_0_17_5_gcm_init_neon
-%define k25519Precomp ring_core_0_17_5_k25519Precomp
-%define limbs_mul_add_limb ring_core_0_17_5_limbs_mul_add_limb
-%define little_endian_bytes_from_scalar ring_core_0_17_5_little_endian_bytes_from_scalar
-%define ecp_nistz256_neg ring_core_0_17_5_ecp_nistz256_neg
-%define ecp_nistz256_select_w5 ring_core_0_17_5_ecp_nistz256_select_w5
-%define ecp_nistz256_select_w7 ring_core_0_17_5_ecp_nistz256_select_w7
-%define p256_mul_mont ring_core_0_17_5_p256_mul_mont
-%define p256_point_add ring_core_0_17_5_p256_point_add
-%define p256_point_add_affine ring_core_0_17_5_p256_point_add_affine
-%define p256_point_double ring_core_0_17_5_p256_point_double
-%define p256_point_mul ring_core_0_17_5_p256_point_mul
-%define p256_point_mul_base ring_core_0_17_5_p256_point_mul_base
-%define p256_point_mul_base_vartime ring_core_0_17_5_p256_point_mul_base_vartime
-%define p256_scalar_mul_mont ring_core_0_17_5_p256_scalar_mul_mont
-%define p256_scalar_sqr_rep_mont ring_core_0_17_5_p256_scalar_sqr_rep_mont
-%define p256_sqr_mont ring_core_0_17_5_p256_sqr_mont
-%define p384_elem_div_by_2 ring_core_0_17_5_p384_elem_div_by_2
-%define p384_elem_mul_mont ring_core_0_17_5_p384_elem_mul_mont
-%define p384_elem_neg ring_core_0_17_5_p384_elem_neg
-%define p384_elem_sub ring_core_0_17_5_p384_elem_sub
-%define p384_point_add ring_core_0_17_5_p384_point_add
-%define p384_point_double ring_core_0_17_5_p384_point_double
-%define p384_point_mul ring_core_0_17_5_p384_point_mul
-%define p384_scalar_mul_mont ring_core_0_17_5_p384_scalar_mul_mont
-%define openssl_poly1305_neon2_addmulmod ring_core_0_17_5_openssl_poly1305_neon2_addmulmod
-%define openssl_poly1305_neon2_blocks ring_core_0_17_5_openssl_poly1305_neon2_blocks
-%define sha256_block_data_order ring_core_0_17_5_sha256_block_data_order
-%define sha512_block_data_order ring_core_0_17_5_sha512_block_data_order
-%define vpaes_ctr32_encrypt_blocks ring_core_0_17_5_vpaes_ctr32_encrypt_blocks
-%define vpaes_encrypt ring_core_0_17_5_vpaes_encrypt
-%define vpaes_encrypt_key_to_bsaes ring_core_0_17_5_vpaes_encrypt_key_to_bsaes
-%define vpaes_set_encrypt_key ring_core_0_17_5_vpaes_set_encrypt_key
-%define x25519_NEON ring_core_0_17_5_x25519_NEON
-%define x25519_fe_invert ring_core_0_17_5_x25519_fe_invert
-%define x25519_fe_isnegative ring_core_0_17_5_x25519_fe_isnegative
-%define x25519_fe_mul_ttt ring_core_0_17_5_x25519_fe_mul_ttt
-%define x25519_fe_neg ring_core_0_17_5_x25519_fe_neg
-%define x25519_fe_tobytes ring_core_0_17_5_x25519_fe_tobytes
-%define x25519_ge_double_scalarmult_vartime ring_core_0_17_5_x25519_ge_double_scalarmult_vartime
-%define x25519_ge_frombytes_vartime ring_core_0_17_5_x25519_ge_frombytes_vartime
-%define x25519_ge_scalarmult_base ring_core_0_17_5_x25519_ge_scalarmult_base
-%define x25519_ge_scalarmult_base_adx ring_core_0_17_5_x25519_ge_scalarmult_base_adx
-%define x25519_public_from_private_generic_masked ring_core_0_17_5_x25519_public_from_private_generic_masked
-%define x25519_sc_mask ring_core_0_17_5_x25519_sc_mask
-%define x25519_sc_muladd ring_core_0_17_5_x25519_sc_muladd
-%define x25519_sc_reduce ring_core_0_17_5_x25519_sc_reduce
-%define x25519_scalar_mult_adx ring_core_0_17_5_x25519_scalar_mult_adx
-%define x25519_scalar_mult_generic_masked ring_core_0_17_5_x25519_scalar_mult_generic_masked
-
-%endif
-%endif
diff --git a/shim/third-party/rust/fixups/rustix/fixups.toml b/shim/third-party/rust/fixups/rustix/fixups.toml
deleted file mode 100644
index 5e026f75e0..0000000000
--- a/shim/third-party/rust/fixups/rustix/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-[[buildscript]]
-[buildscript.rustc_flags]
diff --git a/shim/third-party/rust/fixups/rustls/fixups.toml b/shim/third-party/rust/fixups/rustls/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/rustls/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/rustversion/fixups.toml b/shim/third-party/rust/fixups/rustversion/fixups.toml
deleted file mode 100644
index ac9ebfb4af..0000000000
--- a/shim/third-party/rust/fixups/rustversion/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-[[buildscript]]
-[buildscript.gen_srcs]
diff --git a/shim/third-party/rust/fixups/serde/fixups.toml b/shim/third-party/rust/fixups/serde/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/serde/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/serde_derive/fixups.toml b/shim/third-party/rust/fixups/serde_derive/fixups.toml
deleted file mode 100644
index 7de4ebb3e1..0000000000
--- a/shim/third-party/rust/fixups/serde_derive/fixups.toml
+++ /dev/null
@@ -1,3 +0,0 @@
-# To set `CARGO_MANIFEST_DIR`
-cargo_env = true
-buildscript = []
diff --git a/shim/third-party/rust/fixups/serde_json/fixups.toml b/shim/third-party/rust/fixups/serde_json/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/serde_json/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/signal-hook/fixups.toml b/shim/third-party/rust/fixups/signal-hook/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/signal-hook/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/slab/fixups.toml b/shim/third-party/rust/fixups/slab/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/slab/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/slog/fixups.toml b/shim/third-party/rust/fixups/slog/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/slog/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/syn/fixups.toml b/shim/third-party/rust/fixups/syn/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/syn/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/sys-info/fixups.toml b/shim/third-party/rust/fixups/sys-info/fixups.toml
deleted file mode 100644
index 5d124b3ad7..0000000000
--- a/shim/third-party/rust/fixups/sys-info/fixups.toml
+++ /dev/null
@@ -1,19 +0,0 @@
-buildscript = []
-
-[[platform_fixup.'cfg(target_os = "linux")'.buildscript]]
-[platform_fixup.'cfg(target_os = "linux")'.buildscript.cxx_library]
-name = "linux"
-srcs = ["c/linux.c"]
-headers = ["c/*.h"]
-
-[[platform_fixup.'cfg(target_os = "macos")'.buildscript]]
-[platform_fixup.'cfg(target_os = "macos")'.buildscript.cxx_library]
-name = "macos"
-srcs = ["c/darwin.c"]
-headers = ["c/*.h"]
-
-[[platform_fixup.'cfg(target_os = "windows")'.buildscript]]
-[platform_fixup.'cfg(target_os = "windows")'.buildscript.cxx_library]
-name = "windows"
-srcs = ["c/windows.c"]
-headers = ["c/*.h"]
diff --git a/shim/third-party/rust/fixups/sysinfo/fixups.toml b/shim/third-party/rust/fixups/sysinfo/fixups.toml
deleted file mode 100644
index 8518b18970..0000000000
--- a/shim/third-party/rust/fixups/sysinfo/fixups.toml
+++ /dev/null
@@ -1,11 +0,0 @@
-extra_srcs = ["README.md", "md_doc/**/*.md"]
-buildscript = []
-
-[platform_fixup.'cfg(target_os = "macos")']
-buildscript = []
-rustc_flags = [
-  "-lframework=IOKit",
-  "-lframework=Foundation",
-  "-lframework=CoreFoundation",
-  "-lframework=DiskArbitration",
-]
diff --git a/shim/third-party/rust/fixups/tempfile/fixups.toml b/shim/third-party/rust/fixups/tempfile/fixups.toml
deleted file mode 100644
index 5e026f75e0..0000000000
--- a/shim/third-party/rust/fixups/tempfile/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-[[buildscript]]
-[buildscript.rustc_flags]
diff --git a/shim/third-party/rust/fixups/terminfo/fixups.toml b/shim/third-party/rust/fixups/terminfo/fixups.toml
deleted file mode 100644
index ac9ebfb4af..0000000000
--- a/shim/third-party/rust/fixups/terminfo/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-[[buildscript]]
-[buildscript.gen_srcs]
diff --git a/shim/third-party/rust/fixups/termwiz/fixups.toml b/shim/third-party/rust/fixups/termwiz/fixups.toml
deleted file mode 100644
index fdba1eb21b..0000000000
--- a/shim/third-party/rust/fixups/termwiz/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-cargo_env = true
-extra_srcs = ["src/**/*.pest"]
diff --git a/shim/third-party/rust/fixups/test-case/fixups.toml b/shim/third-party/rust/fixups/test-case/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/test-case/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/thiserror/fixups.toml b/shim/third-party/rust/fixups/thiserror/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/thiserror/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/tiny-keccak/fixups.toml b/shim/third-party/rust/fixups/tiny-keccak/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/tiny-keccak/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/tokio-stream/fixups.toml b/shim/third-party/rust/fixups/tokio-stream/fixups.toml
deleted file mode 100644
index a1f4f0e709..0000000000
--- a/shim/third-party/rust/fixups/tokio-stream/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-# reindeer cannot see through `cfg_sync!` macros and the like
-extra_srcs = ["src/**/*.rs"]
diff --git a/shim/third-party/rust/fixups/tokio-util/fixups.toml b/shim/third-party/rust/fixups/tokio-util/fixups.toml
deleted file mode 100644
index af7edb27e3..0000000000
--- a/shim/third-party/rust/fixups/tokio-util/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-extra_srcs = ["src/**/*.rs"]
diff --git a/shim/third-party/rust/fixups/tokio/fixups.toml b/shim/third-party/rust/fixups/tokio/fixups.toml
deleted file mode 100644
index d69dcefddb..0000000000
--- a/shim/third-party/rust/fixups/tokio/fixups.toml
+++ /dev/null
@@ -1,8 +0,0 @@
-cfgs = ["tokio_unstable", "tokio_track_caller"]
-
-extra_srcs = ["src/**/*.rs"]
-
-buildscript = []
-features = ["tokio_track_caller"]
-
-extra_deps = [ ":tracing" ]
diff --git a/shim/third-party/rust/fixups/tonic/fixups.toml b/shim/third-party/rust/fixups/tonic/fixups.toml
deleted file mode 100644
index 41439d3356..0000000000
--- a/shim/third-party/rust/fixups/tonic/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-cargo_env = true
diff --git a/shim/third-party/rust/fixups/tracing-subscriber/fixups.toml b/shim/third-party/rust/fixups/tracing-subscriber/fixups.toml
deleted file mode 100644
index 28683dbe3c..0000000000
--- a/shim/third-party/rust/fixups/tracing-subscriber/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-# Reindeer can't find the dependencies due to being confused by the feature! macro.
-extra_srcs = ["src/**/*.rs"]
diff --git a/shim/third-party/rust/fixups/trybuild/fixups.toml b/shim/third-party/rust/fixups/trybuild/fixups.toml
deleted file mode 100644
index ac9ebfb4af..0000000000
--- a/shim/third-party/rust/fixups/trybuild/fixups.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-[[buildscript]]
-[buildscript.gen_srcs]
diff --git a/shim/third-party/rust/fixups/typenum/fixups.toml b/shim/third-party/rust/fixups/typenum/fixups.toml
deleted file mode 100644
index 7ab02e4fd1..0000000000
--- a/shim/third-party/rust/fixups/typenum/fixups.toml
+++ /dev/null
@@ -1,4 +0,0 @@
-features = ["force_unix_path_separator"]
-
-[[buildscript]]
-[buildscript.gen_srcs]
diff --git a/shim/third-party/rust/fixups/unicase/fixups.toml b/shim/third-party/rust/fixups/unicase/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/unicase/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/winapi-x86_64-pc-windows-gnu/fixups.toml b/shim/third-party/rust/fixups/winapi-x86_64-pc-windows-gnu/fixups.toml
deleted file mode 100644
index 07c79834d9..0000000000
--- a/shim/third-party/rust/fixups/winapi-x86_64-pc-windows-gnu/fixups.toml
+++ /dev/null
@@ -1,9 +0,0 @@
-buildscript = []
-
-[[platform_fixup.'cfg(target_os = "windows")'.buildscript]]
-[platform_fixup.'cfg(target_os = "windows")'.buildscript.prebuilt_cxx_library]
-name = "extra_libraries"
-# The static_libs this crate provides overlaps quite heavily with those in a default
-# MinGW install, and there are also many that are DirectX specific.
-# We list only those we actually need, since the others are more likely to cause problems.
-static_libs = ["lib/libwinapi_ole32.a", "lib/libwinapi_shell32.a"]
diff --git a/shim/third-party/rust/fixups/winapi/fixups.toml b/shim/third-party/rust/fixups/winapi/fixups.toml
deleted file mode 100644
index ec4f86e500..0000000000
--- a/shim/third-party/rust/fixups/winapi/fixups.toml
+++ /dev/null
@@ -1,4 +0,0 @@
-buildscript = []
-
-[[platform_fixup.'cfg(target_os = "windows")'.buildscript]]
-[platform_fixup.'cfg(target_os = "windows")'.buildscript.rustc_flags]
diff --git a/shim/third-party/rust/fixups/windows-targets/fixups.toml b/shim/third-party/rust/fixups/windows-targets/fixups.toml
deleted file mode 100644
index b3555c7795..0000000000
--- a/shim/third-party/rust/fixups/windows-targets/fixups.toml
+++ /dev/null
@@ -1,3 +0,0 @@
-[platform_fixup.'cfg(any(target_os = "windows", target_os = "linux"))']
-version = ">=0.48.0"
-cfgs = ["windows_raw_dylib"]
diff --git a/shim/third-party/rust/fixups/windows_aarch64_gnullvm/fixups.toml b/shim/third-party/rust/fixups/windows_aarch64_gnullvm/fixups.toml
deleted file mode 100644
index f40e9f9cbe..0000000000
--- a/shim/third-party/rust/fixups/windows_aarch64_gnullvm/fixups.toml
+++ /dev/null
@@ -1,8 +0,0 @@
-buildscript = []
-
-[platform_fixup.'cfg(all(target_os = "linux", target_arch = "aarch64"))']
-version = "=0.48.0"
-[[platform_fixup.'cfg(all(target_os = "linux", target_arch = "aarch64"))'.buildscript]]
-[platform_fixup.'cfg(all(target_os = "linux", target_arch = "aarch64"))'.buildscript.prebuilt_cxx_library]
-name = "libwindows"
-static_libs = ["lib/libwindows.0.48.0.a"]
diff --git a/shim/third-party/rust/fixups/windows_x86_64_gnu/fixups.toml b/shim/third-party/rust/fixups/windows_x86_64_gnu/fixups.toml
deleted file mode 100644
index b25e7f05fa..0000000000
--- a/shim/third-party/rust/fixups/windows_x86_64_gnu/fixups.toml
+++ /dev/null
@@ -1,8 +0,0 @@
-buildscript = []
-
-[platform_fixup.'cfg(all(target_os = "windows", target_env = "gnu"))']
-version = "=0.48.0"
-[[platform_fixup.'cfg(all(target_os = "windows", target_env = "gnu"))'.buildscript]]
-[platform_fixup.'cfg(all(target_os = "windows", target_env = "gnu"))'.buildscript.prebuilt_cxx_library]
-name = "libwindows"
-static_libs = ["lib/libwindows.0.48.0.a"]
diff --git a/shim/third-party/rust/fixups/windows_x86_64_gnullvm/fixups.toml b/shim/third-party/rust/fixups/windows_x86_64_gnullvm/fixups.toml
deleted file mode 100644
index a5579b6930..0000000000
--- a/shim/third-party/rust/fixups/windows_x86_64_gnullvm/fixups.toml
+++ /dev/null
@@ -1,8 +0,0 @@
-buildscript = []
-
-[platform_fixup.'cfg(all(target_os = "linux", target_arch = "x86_64"))']
-version = "=0.48.0"
-[[platform_fixup.'cfg(all(target_os = "linux", target_arch = "x86_64"))'.buildscript]]
-[platform_fixup.'cfg(all(target_os = "linux", target_arch = "x86_64"))'.buildscript.prebuilt_cxx_library]
-name = "libwindows"
-static_libs = ["lib/libwindows.0.48.0.a"]
diff --git a/shim/third-party/rust/fixups/windows_x86_64_msvc/fixups.toml b/shim/third-party/rust/fixups/windows_x86_64_msvc/fixups.toml
deleted file mode 100644
index 8e8dea3516..0000000000
--- a/shim/third-party/rust/fixups/windows_x86_64_msvc/fixups.toml
+++ /dev/null
@@ -1,8 +0,0 @@
-buildscript = []
-
-[platform_fixup.'cfg(all(target_os = "windows", target_env = "msvc"))']
-version = "=0.48.0"
-[[platform_fixup.'cfg(all(target_os = "windows", target_env = "msvc"))'.buildscript]]
-[platform_fixup.'cfg(all(target_os = "windows", target_env = "msvc"))'.buildscript.prebuilt_cxx_library]
-name = "windows"
-static_libs = ["lib/windows.0.48.0.lib"]
diff --git a/shim/third-party/rust/fixups/winreg/fixups.toml b/shim/third-party/rust/fixups/winreg/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/winreg/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/zerocopy/fixups.toml b/shim/third-party/rust/fixups/zerocopy/fixups.toml
deleted file mode 100644
index 41439d3356..0000000000
--- a/shim/third-party/rust/fixups/zerocopy/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-cargo_env = true
diff --git a/shim/third-party/rust/fixups/zstd-safe/fixups.toml b/shim/third-party/rust/fixups/zstd-safe/fixups.toml
deleted file mode 100644
index db40d72cb2..0000000000
--- a/shim/third-party/rust/fixups/zstd-safe/fixups.toml
+++ /dev/null
@@ -1 +0,0 @@
-buildscript = []
diff --git a/shim/third-party/rust/fixups/zstd-sys/fixups.toml b/shim/third-party/rust/fixups/zstd-sys/fixups.toml
deleted file mode 100644
index 164b6a7237..0000000000
--- a/shim/third-party/rust/fixups/zstd-sys/fixups.toml
+++ /dev/null
@@ -1,114 +0,0 @@
-buildscript = []
-
-[[platform_fixup.'cfg(not(all(target_os = "windows", target_env = "msvc")))'.buildscript]]
-[platform_fixup.'cfg(not(all(target_os = "windows", target_env = "msvc")))'.buildscript.cxx_library]
-name = "zstd"
-srcs = [
-    "zstd/lib/common/debug.c",
-    "zstd/lib/common/entropy_common.c",
-    "zstd/lib/common/error_private.c",
-    "zstd/lib/common/fse_decompress.c",
-    "zstd/lib/common/pool.c",
-    "zstd/lib/common/threading.c",
-    #"zstd/lib/common/xxhash.c",
-    "zstd/lib/common/zstd_common.c",
-    "zstd/lib/compress/**/*.c",
-    "zstd/lib/decompress/**/*.c",
-    "zstd/lib/decompress/huf_decompress_amd64.S",
-    "zstd/lib/dictBuilder/**/*.c",
-    "zstd/lib/legacy/**/*.c",
-]
-headers = [
-    "zdict.h",
-    "zstd.h",
-    "zstd/lib/common/bitstream.h",
-    "zstd/lib/common/compiler.h",
-    "zstd/lib/common/cpu.h",
-    "zstd/lib/common/debug.h",
-    "zstd/lib/common/error_private.h",
-    "zstd/lib/common/fse.h",
-    "zstd/lib/common/huf.h",
-    "zstd/lib/common/mem.h",
-    "zstd/lib/common/pool.h",
-    "zstd/lib/common/portability_macros.h",
-    "zstd/lib/common/threading.h",
-    #"zstd/lib/common/xxhash.h",
-    "zstd/lib/common/zstd_deps.h",
-    "zstd/lib/common/zstd_internal.h",
-    "zstd/lib/common/zstd_trace.h",
-    "zstd/lib/compress/**/*.h",
-    "zstd/lib/decompress/**/*.h",
-    "zstd/lib/deprecated/zbuff.h",
-    "zstd/lib/dictBuilder/cover.h",
-    "zstd/lib/dictBuilder/divsufsort.h",
-    "zstd/lib/legacy/**/*.h",
-    "zstd/lib/zdict.h",
-    "zstd/lib/zstd_errors.h",
-    "zstd/lib/zstd.h",
-]
-compiler_flags = [
-    "-O3",
-    "-DZSTD_LIB_DEPRECATED=0",
-    "-fvisibility=hidden",
-    "-DXXH_PRIVATE_API=",
-    "-DZSTDLIB_VISIBILITY=",
-    "-DZDICTLIB_VISIBILITY=",
-    "-DZSTDERRORLIB_VISIBILITY=",
-    "-DZSTD_LEGACY_SUPPORT=1"
-]
-
-[[platform_fixup.'cfg(all(target_os = "windows", target_env = "msvc"))'.buildscript]]
-[platform_fixup.'cfg(all(target_os = "windows", target_env = "msvc"))'.buildscript.cxx_library]
-name = "zstd-msvc"
-srcs = [
-    "zstd/lib/common/debug.c",
-    "zstd/lib/common/entropy_common.c",
-    "zstd/lib/common/error_private.c",
-    "zstd/lib/common/fse_decompress.c",
-    "zstd/lib/common/pool.c",
-    "zstd/lib/common/threading.c",
-    #"zstd/lib/common/xxhash.c",
-    "zstd/lib/common/zstd_common.c",
-    "zstd/lib/compress/**/*.c",
-    "zstd/lib/decompress/**/*.c",
-    #"zstd/lib/decompress/huf_decompress_amd64.S",
-    "zstd/lib/dictBuilder/**/*.c",
-    "zstd/lib/legacy/**/*.c",
-]
-headers = [
-    "zdict.h",
-    "zstd.h",
-    "zstd/lib/common/bitstream.h",
-    "zstd/lib/common/compiler.h",
-    "zstd/lib/common/cpu.h",
-    "zstd/lib/common/debug.h",
-    "zstd/lib/common/error_private.h",
-    "zstd/lib/common/fse.h",
-    "zstd/lib/common/huf.h",
-    "zstd/lib/common/mem.h",
-    "zstd/lib/common/pool.h",
-    "zstd/lib/common/portability_macros.h",
-    "zstd/lib/common/threading.h",
-    #"zstd/lib/common/xxhash.h",
-    "zstd/lib/common/zstd_deps.h",
-    "zstd/lib/common/zstd_internal.h",
-    "zstd/lib/common/zstd_trace.h",
-    "zstd/lib/compress/**/*.h",
-    "zstd/lib/decompress/**/*.h",
-    "zstd/lib/deprecated/zbuff.h",
-    "zstd/lib/dictBuilder/cover.h",
-    "zstd/lib/dictBuilder/divsufsort.h",
-    "zstd/lib/legacy/**/*.h",
-    "zstd/lib/zdict.h",
-    "zstd/lib/zstd_errors.h",
-    "zstd/lib/zstd.h",
-]
-compiler_flags = [
-    "/O2",
-    "-DZSTD_LIB_DEPRECATED=0",
-    "-DXXH_PRIVATE_API=",
-    "-DZSTDLIB_VISIBILITY=",
-    "-DZDICTLIB_VISIBILITY=",
-    "-DZSTDERRORLIB_VISIBILITY=",
-    "-DZSTD_LEGACY_SUPPORT=1"
-]
diff --git a/shim/third-party/rust/reindeer.toml b/shim/third-party/rust/reindeer.toml
deleted file mode 100644
index ab3d1f8d4d..0000000000
--- a/shim/third-party/rust/reindeer.toml
+++ /dev/null
@@ -1,29 +0,0 @@
-# Configuration for Reindeer to generate Buck targets from Cargo.toml
-#
-# Overview of available options:
-# https://github.com/facebookincubator/reindeer/blob/main/example/third-party/reindeer.toml
-
-# Parse Rust code to work out the precise set of source files for each crate.
-precise_srcs = true
-
-# Include a public top-level target which depends on all other targets.
-include_top_level = true
-
-[cargo]
-# Support Cargo's unstable "artifact dependencies" functionality, RFC 3028.
-bindeps = true
-
-[buck]
-# Name of the generated file.
-file_name = "BUCK"
-
-# Rules used for various kinds of targets.
-rust_library = "cargo.rust_library"
-rust_binary = "cargo.rust_binary"
-prebuilt_cxx_library = "third_party_rust_prebuilt_cxx_library"
-
-buckfile_imports = """
-load("@prelude//rust:cargo_buildscript.bzl", "buildscript_run")
-load("@prelude//rust:cargo_package.bzl", "cargo")
-load("@shim//third-party/macros:rust_third_party.bzl", "third_party_rust_prebuilt_cxx_library")
-"""
diff --git a/shim/third-party/rust/top/main.rs b/shim/third-party/rust/top/main.rs
deleted file mode 100644
index 7dde67dd19..0000000000
--- a/shim/third-party/rust/top/main.rs
+++ /dev/null
@@ -1,8 +0,0 @@
-// Copyright (c) Meta Platforms, Inc. and affiliates.
-//
-// This source code is licensed under the MIT license found in the
-// LICENSE file in the root directory of this source tree.
-
-#![allow(unused_crate_dependencies)]
-
-fn main() {}
diff --git a/shim/third-party/snappy/BUCK b/shim/third-party/snappy/BUCK
deleted file mode 100644
index b5bc134c80..0000000000
--- a/shim/third-party/snappy/BUCK
+++ /dev/null
@@ -1,12 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(name = "snappy")
diff --git a/shim/third-party/third_party.bzl b/shim/third-party/third_party.bzl
deleted file mode 100644
index fee56b64a2..0000000000
--- a/shim/third-party/third_party.bzl
+++ /dev/null
@@ -1,70 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@prelude//third-party:pkgconfig.bzl", "external_pkgconfig_library")
-load("@shim//build_defs:prebuilt_cpp_library.bzl", "prebuilt_cpp_library")
-
-def homebrew_library(
-        package_name,
-        name = None,
-        default_target_platform = "prelude//platforms:default",
-        visibility = ["PUBLIC"],
-        deps = None,
-        header_path = None,
-        linker_flags = None,
-        labels = []):
-    brew_headers = package_name + "__brew_headers"
-    brew_libs = package_name + "__brew_libs"
-    if name != None:
-        brew_headers = name + "__" + brew_headers
-        brew_libs = name + "__" + brew_libs
-
-    # @lint-ignore BUCKLINT
-    native.genrule(
-        name = brew_headers,
-        default_target_platform = default_target_platform,
-        out = "out",
-        cmd = "echo \"-I`brew --prefix {}`/{}\" > $OUT".format(package_name, header_path or "include"),
-    )
-
-    # @lint-ignore BUCKLINT
-    native.genrule(
-        name = brew_libs,
-        default_target_platform = default_target_platform,
-        out = "out",
-        cmd = "echo \"-L`brew --prefix {}`/lib\" > $OUT".format(package_name),
-    )
-
-    linker_flags = linker_flags or []
-    linker_flags.append("@$(location :{})".format(brew_libs))
-
-    prebuilt_cpp_library(
-        name = name or package_name,
-        default_target_platform = default_target_platform,
-        visibility = visibility,
-        exported_deps = deps,
-        exported_preprocessor_flags = ["@$(location :{})".format(brew_headers)],
-        linker_flags = linker_flags,
-        labels = labels,
-    )
-
-def third_party_library(name, visibility = ["PUBLIC"], deps = [], homebrew_package_name = None, ubuntu_package_name = None, pkgconfig_name = None, homebrew_header_path = None, default_target_platform = "prelude//platforms:default", homebrew_linker_flags = None):
-    # Labels defined here are used to extract third-party libs so they can be installed:
-    labels = []
-    if homebrew_package_name != None:
-        labels.append("third-party:homebrew:" + homebrew_package_name)
-    if ubuntu_package_name != None:
-        labels.append("third-party:ubuntu:" + ubuntu_package_name)
-
-    if pkgconfig_name != None:
-        labels.append("third-party:homebrew:pkg-config")
-        labels.append("third-party:ubuntu:pkg-config")
-        external_pkgconfig_library(name = pkgconfig_name, visibility = visibility if name == pkgconfig_name else [], labels = labels, default_target_platform = default_target_platform, deps = deps)
-        if name != pkgconfig_name:
-            native.alias(name = name, actual = ":{}".format(pkgconfig_name), visibility = visibility)
-        return
-    homebrew_library(name = name, package_name = homebrew_package_name or name, visibility = visibility, deps = deps, header_path = homebrew_header_path, linker_flags = homebrew_linker_flags, default_target_platform = default_target_platform, labels = labels)
diff --git a/shim/third-party/xz/BUCK b/shim/third-party/xz/BUCK
deleted file mode 100644
index 9d9c718426..0000000000
--- a/shim/third-party/xz/BUCK
+++ /dev/null
@@ -1,16 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "lzma",
-    homebrew_package_name = "xz",
-    pkgconfig_name = "liblzma",
-)
diff --git a/shim/third-party/zlib/BUCK b/shim/third-party/zlib/BUCK
deleted file mode 100644
index 7d21a49b1e..0000000000
--- a/shim/third-party/zlib/BUCK
+++ /dev/null
@@ -1,16 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "z",
-    homebrew_package_name = "zlib",
-    pkgconfig_name = "zlib",
-)
diff --git a/shim/third-party/zstd/BUCK b/shim/third-party/zstd/BUCK
deleted file mode 100644
index f92cf85a45..0000000000
--- a/shim/third-party/zstd/BUCK
+++ /dev/null
@@ -1,15 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@shim//third-party:third_party.bzl", "third_party_library")
-
-oncall("open_source")
-
-third_party_library(
-    name = "zstd",
-    pkgconfig_name = "libzstd",
-)
diff --git a/shim/tools/build_defs/audit_dependencies_test.bzl b/shim/tools/build_defs/audit_dependencies_test.bzl
deleted file mode 100644
index a3174389f5..0000000000
--- a/shim/tools/build_defs/audit_dependencies_test.bzl
+++ /dev/null
@@ -1,10 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-# Noop in OSS
-def audit_dependencies_test(**_kwargs):
-    pass
diff --git a/shim/tools/build_defs/buck2/is_buck2.bzl b/shim/tools/build_defs/buck2/is_buck2.bzl
deleted file mode 100644
index 45140ef215..0000000000
--- a/shim/tools/build_defs/buck2/is_buck2.bzl
+++ /dev/null
@@ -1,9 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-def is_buck2():
-    return True
diff --git a/shim/tools/build_defs/buckconfig.bzl b/shim/tools/build_defs/buckconfig.bzl
deleted file mode 100644
index d9c29d252f..0000000000
--- a/shim/tools/build_defs/buckconfig.bzl
+++ /dev/null
@@ -1,16 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-load("@prelude//utils:buckconfig.bzl", _read = "read", _read_bool = "read_bool", _read_choice = "read_choice", _read_int = "read_int", _read_list = "read_list", _read_string = "read_string", _resolve_alias = "resolve_alias")
-
-read = _read
-read_string = _read_string
-read_choice = _read_choice
-read_bool = _read_bool
-read_int = _read_int
-read_list = _read_list
-resolve_alias = _resolve_alias
diff --git a/shim/tools/build_defs/fb_native_wrapper.bzl b/shim/tools/build_defs/fb_native_wrapper.bzl
new file mode 100644
index 0000000000..d67b9384fe
--- /dev/null
+++ b/shim/tools/build_defs/fb_native_wrapper.bzl
@@ -0,0 +1,10 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+#
+# This source code is licensed under both the MIT license found in the
+# LICENSE-MIT file in the root directory of this source tree and the Apache
+# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
+# of this source tree.
+
+fb_native = struct(
+    config_setting = native.config_setting,
+)
diff --git a/shim/tools/build_defs/glob_defs.bzl b/shim/tools/build_defs/glob_defs.bzl
deleted file mode 100644
index c119afa556..0000000000
--- a/shim/tools/build_defs/glob_defs.bzl
+++ /dev/null
@@ -1,8 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-#
-# This source code is licensed under both the MIT license found in the
-# LICENSE-MIT file in the root directory of this source tree and the Apache
-# License, Version 2.0 found in the LICENSE-APACHE file in the root directory
-# of this source tree.
-
-glob = native.glob
diff --git a/shim/xplat/executorch/build/env_interface.bzl b/shim/xplat/executorch/build/env_interface.bzl
index 27d2887b66..b6e30cd9f6 100644
--- a/shim/xplat/executorch/build/env_interface.bzl
+++ b/shim/xplat/executorch/build/env_interface.bzl
@@ -41,7 +41,7 @@ _EXTERNAL_DEPS = {
     "libtorch_python": "//third-party:libtorch_python",
     "prettytable": "//third-party:prettytable",
     "pybind11": "//third-party:pybind11",
-    "re2": [],  # TODO(larryliu0820): Add support
+    "re2": "//extension/llm/third-party:re2",
     "sentencepiece-py": [],
     # Core C++ PyTorch functionality like Tensor and ScalarType.
     "torch-core-cpp": "//third-party:libtorch",
@@ -118,7 +118,8 @@ def _remove_platform_specific_args(kwargs):
     """
     keys = []
     for key in kwargs:
-        if key.endswith("_platform_preprocessor_flags") or key.endswith("_platform_deps") or key.startswith("fbobjc"):
+        if (key.endswith("_platform_preprocessor_flags") or key.endswith("_platform_deps") or
+            key.startswith("fbobjc") or key.endswith("_platform_compiler_flags")):
             keys.append(key)
     for key in keys:
         kwargs.pop(key)
diff --git a/shim/xplat/executorch/extension/pybindings/pybindings.bzl b/shim/xplat/executorch/extension/pybindings/pybindings.bzl
index f62c567ba4..52191eb978 100644
--- a/shim/xplat/executorch/extension/pybindings/pybindings.bzl
+++ b/shim/xplat/executorch/extension/pybindings/pybindings.bzl
@@ -10,29 +10,27 @@ MODELS_ATEN_OPS_LEAN_MODE_GENERATED_LIB = [
 PORTABLE_MODULE_DEPS = [
     "//executorch/runtime/kernel:operator_registry",
     "//executorch/runtime/executor:program",
-    "//executorch/sdk/bundled_program/schema:bundled_program_schema_fbs",
+    "//executorch/devtools/bundled_program/schema:bundled_program_schema_fbs",
     "//executorch/extension/aten_util:aten_bridge",
-    "//executorch/sdk/bundled_program:runtime",
+    "//executorch/devtools/bundled_program:runtime",
     "//executorch/extension/data_loader:buffer_data_loader",
     "//executorch/extension/data_loader:mmap_data_loader",
     "//executorch/extension/memory_allocator:malloc_memory_allocator",
-    "//executorch/util:util",
     "//executorch/runtime/executor/test:test_backend_compiler_lib",
-    "//executorch/sdk/etdump:etdump_flatcc",
+    "//executorch/devtools/etdump:etdump_flatcc",
 ] + get_all_cpu_backend_targets()
 
 ATEN_MODULE_DEPS = [
     "//executorch/runtime/kernel:operator_registry",
     "//executorch/runtime/executor:program_aten",
     "//executorch/runtime/core/exec_aten:lib",
-    "//executorch/sdk/bundled_program/schema:bundled_program_schema_fbs",
+    "//executorch/devtools/bundled_program/schema:bundled_program_schema_fbs",
     "//executorch/extension/data_loader:buffer_data_loader",
     "//executorch/extension/data_loader:mmap_data_loader",
     "//executorch/extension/memory_allocator:malloc_memory_allocator",
-    "//executorch/util:read_file",
-    "//executorch/sdk/bundled_program:runtime_aten",
+    "//executorch/devtools/bundled_program:runtime_aten",
     "//executorch/runtime/executor/test:test_backend_compiler_lib_aten",
-    "//executorch/sdk/etdump:etdump_flatcc",
+    "//executorch/devtools/etdump:etdump_flatcc",
 ]
 
 # Generated lib for all ATen ops with aten kernel used by models in model inventory
@@ -54,8 +52,8 @@ def executorch_pybindings(python_module_name, srcs = [], cppdeps = [], visibilit
             "-DEXECUTORCH_PYTHON_MODULE_NAME={}".format(python_module_name),
         ],
         deps = [
+            "//executorch/exir:_warnings",
             "//executorch/runtime/core:core",
-            "//executorch/util:read_file",
         ] + cppdeps,
         external_deps = [
             "pybind11",
diff --git a/shim/xplat/executorch/kernels/optimized/lib_defs.bzl b/shim/xplat/executorch/kernels/optimized/lib_defs.bzl
index af62407eb0..79ce6b02b3 100644
--- a/shim/xplat/executorch/kernels/optimized/lib_defs.bzl
+++ b/shim/xplat/executorch/kernels/optimized/lib_defs.bzl
@@ -101,7 +101,7 @@ def define_libs():
             "@EXECUTORCH_CLIENTS",
         ],
         exported_deps = [
-            # Needed to access the __ET_INLINE macro
+            # Needed to access the ET_INLINE macro
             "//executorch/runtime/platform:compiler",
         ],
     )
diff --git a/shim/xplat/executorch/kernels/portable/op_registration_util.bzl b/shim/xplat/executorch/kernels/portable/op_registration_util.bzl
index 347094435c..ef8f936571 100644
--- a/shim/xplat/executorch/kernels/portable/op_registration_util.bzl
+++ b/shim/xplat/executorch/kernels/portable/op_registration_util.bzl
@@ -412,6 +412,12 @@ ATEN_OPS = (
             ":vec_ops",
         ],
     ),
+    op_target(
+        name = "op_convolution_backward",
+        deps = [
+            "//executorch/kernels/portable/cpu/util:kernel_ops_util",
+        ],
+    ),
     op_target(
         name = "op_copy",
         deps = [
@@ -559,6 +565,12 @@ ATEN_OPS = (
             ":scalar_utils",
         ],
     ),
+    op_target(
+        name = "op_gather",
+        deps = [
+            "//executorch/kernels/portable/cpu/util:index_util",
+        ],
+    ),
     op_target(
         name = "op_ge",
         deps = [
@@ -796,6 +808,12 @@ ATEN_OPS = (
             ":scalar_utils",
         ],
     ),
+    op_target(
+        name = "op_narrow_copy",
+        deps = [
+            "//executorch/kernels/portable/cpu/util:slice_util",
+        ],
+    ),
     op_target(
         name = "op_native_batch_norm",
         deps = [
@@ -835,7 +853,6 @@ ATEN_OPS = (
         deps = [
             ":scalar_utils",
             "//executorch/kernels/portable/cpu/util:index_util",
-            "//executorch/kernels/portable/cpu/util:kernel_ops_util",
         ],
     ),
     op_target(
@@ -862,6 +879,12 @@ ATEN_OPS = (
             "//executorch/kernels/portable/cpu/util:copy_ops_util",
         ],
     ),
+    op_target(
+        name = "op_pixel_unshuffle",
+        deps = [
+            "//executorch/kernels/portable/cpu/util:copy_ops_util",
+        ],
+    ),
     op_target(
         name = "op_pow",
         deps = [
@@ -968,11 +991,17 @@ ATEN_OPS = (
         name = "op_scalar_tensor",
         deps = [":scalar_utils"],
     ),
+    op_target(
+        name = "op_scatter",
+        deps = [
+            ":scalar_utils",
+            "//executorch/kernels/portable/cpu/util:index_util",
+        ],
+    ),
     op_target(
         name = "op_scatter_add",
         deps = [
             "//executorch/kernels/portable/cpu/util:index_util",
-            "//executorch/kernels/portable/cpu/util:kernel_ops_util",
             "//executorch/runtime/core/exec_aten/util:scalar_type_util",
             "//executorch/runtime/core/exec_aten/util:tensor_util",
         ],
@@ -987,10 +1016,9 @@ ATEN_OPS = (
     op_target(
         name = "op_select_scatter",
         deps = [
-            "//executorch/kernels/portable/cpu/util:kernel_ops_util",
+            "//executorch/kernels/portable/cpu/util:index_util",
             "//executorch/runtime/core/exec_aten/util:scalar_type_util",
             "//executorch/runtime/core/exec_aten/util:tensor_util",
-            "//executorch/kernels/portable/cpu/util:index_util",
         ],
     ),
     op_target(
@@ -1020,15 +1048,13 @@ ATEN_OPS = (
     op_target(
         name = "op_slice_copy",
         deps = [
-            "//executorch/kernels/portable/cpu/util:copy_ops_util",
-            "//executorch/kernels/portable/cpu/util:index_util",
+            "//executorch/kernels/portable/cpu/util:slice_util",
         ],
     ),
     op_target(
         name = "op_slice_scatter",
         deps = [
-            "//executorch/kernels/portable/cpu/util:index_util",
-            "//executorch/kernels/portable/cpu/util:kernel_ops_util",
+            "//executorch/kernels/portable/cpu/util:slice_util",
         ],
     ),
     op_target(
@@ -1110,6 +1136,9 @@ ATEN_OPS = (
             "//executorch/kernels/portable/cpu/util:copy_ops_util",
         ],
     ),
+    op_target(
+        name = "op_topk",
+    ),
     op_target(
         name = "op_transpose_copy",
         deps = ["//executorch/kernels/portable/cpu/util:transpose_util"],
diff --git a/test/CMakeLists.txt b/test/CMakeLists.txt
index 1cd4c82497..b651bd2dd9 100644
--- a/test/CMakeLists.txt
+++ b/test/CMakeLists.txt
@@ -19,8 +19,7 @@
 cmake_minimum_required(VERSION 3.19)
 project(size_test)
 
-# Use C++11 for size test.
-set(CMAKE_CXX_STANDARD 11)
+set(CMAKE_CXX_STANDARD 17)
 
 set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/..)
 
@@ -62,8 +61,9 @@ endif()
 #
 add_executable(size_test_all_ops ${_size_test__srcs})
 target_link_options_shared_lib(portable_ops_lib)
-target_link_libraries(size_test_all_ops executorch
-  portable_ops_lib portable_kernels)
+target_link_libraries(
+  size_test_all_ops executorch portable_ops_lib portable_kernels
+)
 if(CMAKE_BUILD_TYPE EQUAL "Release")
   target_link_options(size_test_all_ops PRIVATE "LINKER:--gc-sections")
 endif()
diff --git a/test/build_size_test.sh b/test/build_size_test.sh
index 540b78e9f0..428e351cf0 100644
--- a/test/build_size_test.sh
+++ b/test/build_size_test.sh
@@ -11,29 +11,12 @@ set -e
 # shellcheck source=/dev/null
 source "$(dirname "${BASH_SOURCE[0]}")/../.ci/scripts/utils.sh"
 
-# Set compile flags for Clang and GCC.
-# -Wno-gnu allows us to use gnu statement-expressions.
-# -Werror -Wc++17* ensure we do not use features from C++17.
-CXX_FLAGS="-Wno-gnu"
-compiler=$(cc --version)
-if [[ $compiler == *"clang"* ]]; then
-  CXX_FLAGS="$CXX_FLAGS -Werror -Wc++17-extensions -Wc++14-extensions"
-elif [[ $compiler == *"cc"* ]]; then
-  CXX_FLAGS="$CXX_FLAGS -Werror -Wc++17-compat -Wc++14-compat"
-else
-  echo "Unknown compiler: $compiler"
-  exit 1
-fi
-echo "Using compiler $compiler with flags $CXX_FLAGS"
-
 cmake_install_executorch_lib() {
   echo "Installing libexecutorch.a"
   rm -rf cmake-out
 
   retry cmake -DBUCK2="$BUCK2" \
-          -DCMAKE_CXX_STANDARD=11 \
           -DCMAKE_CXX_STANDARD_REQUIRED=ON \
-          -DCMAKE_CXX_FLAGS="$CXX_FLAGS" \
           -DCMAKE_INSTALL_PREFIX=cmake-out \
           -DCMAKE_BUILD_TYPE=Release \
           -DEXECUTORCH_BUILD_EXECUTOR_RUNNER=OFF \
diff --git a/test/end2end/TARGETS b/test/end2end/TARGETS
index 8c0885e32e..fdac0e4887 100644
--- a/test/end2end/TARGETS
+++ b/test/end2end/TARGETS
@@ -42,6 +42,9 @@ python_unittest(
         ":exported_module",
         ":register_scratch_meta_fns",
         "//caffe2:torch",
+        "//executorch/devtools:lib",
+        "//executorch/devtools/bundled_program:config",
+        "//executorch/devtools/bundled_program/serialize:lib",
         "//executorch/exir:dynamic_shape",
         "//executorch/exir:lib",
         "//executorch/exir:memory",
@@ -57,9 +60,6 @@ python_unittest(
         "//executorch/exir/tests:transformer",
         "//executorch/extension/pybindings:aten_lib",
         "//executorch/extension/pytree:pybindings",
-        "//executorch/sdk:lib",
-        "//executorch/sdk/bundled_program:config",
-        "//executorch/sdk/bundled_program/serialize:lib",
     ],
 )
 
@@ -73,6 +73,9 @@ python_unittest(
         ":exported_module",
         ":register_scratch_meta_fns",
         "//caffe2:torch",
+        "//executorch/devtools:lib",
+        "//executorch/devtools/bundled_program:config",
+        "//executorch/devtools/bundled_program/serialize:lib",
         "//executorch/exir:dynamic_shape",
         "//executorch/exir:lib",
         "//executorch/exir:memory",
@@ -88,8 +91,5 @@ python_unittest(
         "//executorch/exir/tests:transformer",
         "//executorch/extension/pybindings:portable_lib",
         "//executorch/extension/pytree:pybindings",
-        "//executorch/sdk:lib",
-        "//executorch/sdk/bundled_program:config",
-        "//executorch/sdk/bundled_program/serialize:lib",
     ],
 )
diff --git a/test/end2end/exported_module.py b/test/end2end/exported_module.py
index 1cf38cc54e..2365450ae5 100644
--- a/test/end2end/exported_module.py
+++ b/test/end2end/exported_module.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 """Test helper for exporting an nn.Module to an ExecuTorch program."""
 
 import functools
@@ -22,6 +24,8 @@
 )
 from torch import nn
 from torch.export import export
+from torch.export._trace import _export
+from torch.export.experimental import _export_forward_backward
 
 
 class ExportedModule:
@@ -63,8 +67,8 @@ def export(
         ignore_to_out_var_failure: bool = False,
         dynamic_memory_planning_mode: DynamicMemoryPlanningMode = DynamicMemoryPlanningMode.UPPER_BOUND,
         capture_config=None,
-        extract_constant_segment: bool = True,
         skip_type_promotion: bool = False,
+        export_joint_graph: bool = False,
     ) -> "ExportedModule":
         """
         Creates a new ExportedModule for the specified module class.
@@ -143,7 +147,7 @@ def return_wrapper():
             for method in methods:
                 method_name_to_dynamic_shapes[method] = trace_dynamic_shapes
 
-        memory_planning_pass = MemoryPlanningPass("greedy")
+        memory_planning_pass = MemoryPlanningPass()
         if hasattr(eager_module, "get_memory_planning_pass"):
             memory_planning_pass = eager_module.get_memory_planning_pass()
 
@@ -157,15 +161,30 @@ def __init__(self, method):
         # variant, along with some other transformations.
         for method_name, method_input in method_name_to_args.items():
             # if not isinstance(eager_module, torch.nn.Module):
-            exported_methods[method_name] = export(
-                eager_module,
-                method_input,
-                dynamic_shapes=(
-                    method_name_to_dynamic_shapes[method_name]
-                    if method_name_to_dynamic_shapes
-                    else None
-                ),
-            )
+            if export_joint_graph:
+                # _export was having issues with WrapperModule.
+                assert method_name == "forward"
+                ep = _export(
+                    eager_module,
+                    method_input,
+                    dynamic_shapes=(
+                        method_name_to_dynamic_shapes[method_name]
+                        if method_name_to_dynamic_shapes
+                        else None
+                    ),
+                    pre_dispatch=True,
+                )
+                exported_methods[method_name] = _export_forward_backward(ep)
+            else:
+                exported_methods[method_name] = export(
+                    eager_module,
+                    method_input,
+                    dynamic_shapes=(
+                        method_name_to_dynamic_shapes[method_name]
+                        if method_name_to_dynamic_shapes
+                        else None
+                    ),
+                )
 
         exec_prog = to_edge(
             exported_methods,
@@ -186,7 +205,6 @@ def __init__(self, method):
                 dynamic_memory_planning_mode=dynamic_memory_planning_mode,
                 memory_planning_pass=memory_planning_pass,
                 to_out_var_pass=ToOutVarPass(ignore_to_out_var_failure),
-                extract_constant_segment=extract_constant_segment,
             )
         )
 
diff --git a/test/models/deprecated/ModuleLinear-no-constant-segment.pte b/test/models/deprecated/ModuleLinear-no-constant-segment.pte
new file mode 100644
index 0000000000..42b8643fb9
Binary files /dev/null and b/test/models/deprecated/ModuleLinear-no-constant-segment.pte differ
diff --git a/test/models/deprecated/README.md b/test/models/deprecated/README.md
new file mode 100644
index 0000000000..44ed964773
--- /dev/null
+++ b/test/models/deprecated/README.md
@@ -0,0 +1,14 @@
+## Deprecated Models
+
+This readme documents deprecated models that remain compatible with versions of the ExecuTorch runtime.
+
+ModuleLinear-no-constant-segment.pte
+- This file contains constants stored in the constant_buffer, which was deprecated in D61996249, [#5096](https://github.com/pytorch/executorch/pull/5096) on 2024-09-06. Now, constants are stored in a separate segment.
+- This .pte file was generated internally using hg commit hash rFBS5e49dc0319b1d2d9969bbcef92857ab76a899c34, with command:
+    ```
+    buck2 build fbcode//executorch/test/models:exported_programs[ModuleLinear-no-constant-segment.pte] --show-output
+    ```
+- In OSS, the same .pte file can be generated with https://github.com/pytorch/executorch/commit/cea5abbcdded, via:
+    ```
+    python -m test.models.export_program --modules "ModuleLinear" --outdir .
+    ```
diff --git a/test/models/deprecated/TARGETS b/test/models/deprecated/TARGETS
new file mode 100644
index 0000000000..369fc3c406
--- /dev/null
+++ b/test/models/deprecated/TARGETS
@@ -0,0 +1,12 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+oncall("executorch")
+
+runtime.export_file(
+    name = "ModuleLinear-no-constant-segment.pte",
+    src = "ModuleLinear-no-constant-segment.pte",
+    visibility = [
+        "//executorch/runtime/executor/test/...",
+        "//executorch/test/...",
+    ],
+)
diff --git a/test/models/export_program.py b/test/models/export_program.py
index c6d744d058..caea394f33 100644
--- a/test/models/export_program.py
+++ b/test/models/export_program.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import argparse
 import inspect
 import os
@@ -119,7 +121,6 @@ def get_dynamic_shapes(self):
 
     def get_memory_planning_pass(self):
         return MemoryPlanningPass(
-            memory_planning_algo="greedy",
             alloc_graph_input=False,
             alloc_graph_output=False,
         )
@@ -164,6 +165,23 @@ def get_method_names_to_export() -> List[str]:
         return ["forward", "forward2"]
 
 
+class ModuleSimpleTrain(torch.nn.Module):
+    def __init__(self):
+        super().__init__()
+        self.linear = torch.nn.Linear(3, 3)
+        self.loss = torch.nn.CrossEntropyLoss()
+
+    def forward(self, x, y):
+        return self.loss(self.linear(x).softmax(dim=0), y)
+
+    def get_random_inputs(self):
+        return (torch.randn(3), torch.tensor([1.0, 0.0, 0.0]))
+
+    @staticmethod
+    def export_joint():
+        return True
+
+
 #
 # Main logic.
 #
@@ -171,15 +189,18 @@ def get_method_names_to_export() -> List[str]:
 
 def export_module_to_program(
     module_class: Type[nn.Module],
-    extract_constant_segment: bool,
     skip_type_promotion: bool,
 ):
     """Exports the module and returns the serialized program data."""
+    torch.manual_seed(0)
     # Look for an optional @staticmethod that defines custom trace params.
     export_kwargs: Dict[str, Any] = {}
     if hasattr(module_class, "get_export_kwargs"):
         # pyre-ignore[16]: pyre doesn't know about get_export_kwargs.
         export_kwargs = module_class.get_export_kwargs()
+    export_joint = False
+    if hasattr(module_class, "export_joint"):
+        export_joint = module_class.export_joint()  # pyre-ignore
     if hasattr(module_class, "get_method_names_to_export"):
         # pyre-ignore[16]: pyre doesn't know about get_export_kwargs.
         methods = module_class.get_method_names_to_export()
@@ -188,8 +209,8 @@ def export_module_to_program(
     module = ExportedModule.export(
         module_class,
         methods,
-        extract_constant_segment=extract_constant_segment,
         skip_type_promotion=skip_type_promotion,
+        export_joint_graph=export_joint,
         **export_kwargs,
     )
     return module.executorch_program.buffer
@@ -199,6 +220,7 @@ def main() -> None:
     # These args are optimized for genrule usage. There's a lot of startup
     # overhead for this tool, so it's faster to export multiple models at once
     # when possible.
+    torch.manual_seed(0)
     parser = argparse.ArgumentParser(
         prog="export_program",
         description="Exports nn.Module models to ExecuTorch .pte files",
@@ -234,18 +256,15 @@ def main() -> None:
             # Skip type promotion to keep the model in fp16.
             # Type promotion will convert to fp32.
             skip_type_promotion = True
-        for extract_constant_segment in (True, False):
-            suffix = "" if extract_constant_segment else "-no-constant-segment"
-            outfile = os.path.join(args.outdir, f"{module_name}{suffix}.pte")
-            with open(outfile, "wb") as fp:
-                fp.write(
-                    export_module_to_program(
-                        module_class,
-                        extract_constant_segment=extract_constant_segment,
-                        skip_type_promotion=skip_type_promotion,
-                    )
+        outfile = os.path.join(args.outdir, f"{module_name}.pte")
+        with open(outfile, "wb") as fp:
+            fp.write(
+                export_module_to_program(
+                    module_class,
+                    skip_type_promotion=skip_type_promotion,
                 )
-            print(f"Exported {module_name} and wrote program data to {outfile}")
+            )
+        print(f"Exported {module_name} and wrote program data to {outfile}")
 
 
 if __name__ == "__main__":
diff --git a/test/models/generate_linear_out_bundled_program.py b/test/models/generate_linear_out_bundled_program.py
index 9201e43adf..93fd1445ef 100644
--- a/test/models/generate_linear_out_bundled_program.py
+++ b/test/models/generate_linear_out_bundled_program.py
@@ -17,15 +17,15 @@
 from typing import List
 
 import torch
+from executorch.devtools import BundledProgram
+from executorch.devtools.bundled_program.config import MethodTestCase, MethodTestSuite
+from executorch.devtools.bundled_program.serialize import (
+    serialize_from_bundled_program_to_flatbuffer,
+)
 from executorch.exir import ExecutorchBackendConfig, to_edge
 
 from executorch.exir.passes import MemoryPlanningPass, ToOutVarPass
 from executorch.exir.print_program import pretty_print
-from executorch.sdk import BundledProgram
-from executorch.sdk.bundled_program.config import MethodTestCase, MethodTestSuite
-from executorch.sdk.bundled_program.serialize import (
-    serialize_from_bundled_program_to_flatbuffer,
-)
 
 from executorch.test.models.linear_model import LinearModel
 from torch.export import export
diff --git a/test/models/targets.bzl b/test/models/targets.bzl
index e44c6eb0c7..aea47c9e03 100644
--- a/test/models/targets.bzl
+++ b/test/models/targets.bzl
@@ -22,9 +22,9 @@ def define_common_targets():
         deps = [
             ":linear_model",
             "//caffe2:torch",
-            "//executorch/sdk/bundled_program:config",
-            "//executorch/sdk:lib",
-            "//executorch/sdk/bundled_program/serialize:lib",
+            "//executorch/devtools/bundled_program:config",
+            "//executorch/devtools:lib",
+            "//executorch/devtools/bundled_program/serialize:lib",
             "//executorch/exir:lib",
             "//executorch/exir/_serialize:lib",
         ],
@@ -66,6 +66,7 @@ def define_common_targets():
         "ModuleMultipleEntry",
         "ModuleIndex",
         "ModuleDynamicCatUnallocatedIO",
+        "ModuleSimpleTrain",
     ]
 
     # Generates Executorch .pte program files for various modules at build time.
diff --git a/test/multi_runner.cpp b/test/multi_runner.cpp
deleted file mode 100644
index 8ea6b41395..0000000000
--- a/test/multi_runner.cpp
+++ /dev/null
@@ -1,378 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-/**
- * @file
- *
- * Creates multiple Executor instances at the same time, demonstrating that the
- * same process can handle multiple runtimes at once.
- *
- * Usage:
- *   multi_runner --models=<model.pte>[,<m2.pte>[,...]] [--num_instances=<num>]
- */
-
-#include <gflags/gflags.h>
-
-#include <sys/stat.h>
-
-#include <cassert>
-#include <condition_variable>
-#include <cstdio>
-#include <functional>
-#include <memory>
-#include <sstream>
-#include <thread>
-#include <tuple>
-
-#include <executorch/extension/data_loader/buffer_data_loader.h>
-#include <executorch/runtime/core/error.h>
-#include <executorch/runtime/core/result.h>
-#include <executorch/runtime/executor/method.h>
-#include <executorch/runtime/executor/program.h>
-#include <executorch/runtime/executor/test/managed_memory_manager.h>
-#include <executorch/runtime/platform/log.h>
-#include <executorch/runtime/platform/runtime.h>
-#include <executorch/util/read_file.h>
-#include <executorch/util/util.h>
-
-DEFINE_string(
-    models,
-    "",
-    "Comma-separated list of paths to serialized ExecuTorch model files");
-DEFINE_int32(
-    num_instances,
-    10,
-    "Number of Executor instances to create in parallel, for each model");
-
-static bool validate_path_list(
-    const char* flagname,
-    const std::string& path_list);
-DEFINE_validator(models, &validate_path_list);
-
-static bool validate_positive_int32(const char* flagname, int32_t val);
-DEFINE_validator(num_instances, &validate_positive_int32);
-
-namespace {
-using torch::executor::DataLoader;
-using torch::executor::Error;
-using torch::executor::FreeableBuffer;
-using torch::executor::MemoryAllocator;
-using torch::executor::MemoryManager;
-using torch::executor::Method;
-using torch::executor::Program;
-using torch::executor::Result;
-using torch::executor::testing::ManagedMemoryManager;
-using torch::executor::util::BufferDataLoader;
-
-/**
- * A model that has been loaded and has had its execution plan and inputs
- * prepared. Can be run once.
- *
- * Creates and owns the underyling state, making things easier to manage.
- */
-class PreparedModel final {
- public:
-  PreparedModel(
-      const std::string& name,
-      const void* model_data,
-      size_t model_data_size,
-      size_t non_const_mem_bytes,
-      size_t runtime_mem_bytes)
-      : name_(name),
-        loader_(model_data, model_data_size),
-        program_(load_program_or_die(loader_)),
-        memory_manager_(non_const_mem_bytes, runtime_mem_bytes),
-        method_(load_method_or_die(program_, &memory_manager_.get())),
-        has_run_(false) {
-    inputs_ = torch::executor::util::PrepareInputTensors(method_);
-  }
-
-  void run() {
-    ET_CHECK_MSG(!has_run_, "A PreparedModel may only be run once");
-    has_run_ = true;
-
-    Error status = method_.execute();
-    ET_CHECK_MSG(
-        status == Error::Ok,
-        "plan.execute() failed with status 0x%" PRIx32,
-        status);
-
-    // TODO(T131578656): Do something with the outputs.
-  }
-
-  const std::string& name() const {
-    return name_;
-  }
-
-  ~PreparedModel() {
-    torch::executor::util::FreeInputs(inputs_);
-  }
-
- private:
-  static Program load_program_or_die(DataLoader& loader) {
-    Result<Program> program = Program::load(&loader);
-    ET_CHECK(program.ok());
-    return std::move(program.get());
-  }
-
-  static Method load_method_or_die(
-      const Program& program,
-      MemoryManager* memory_manager) {
-    Result<Method> method = program.load_method("forward", memory_manager);
-    ET_CHECK(method.ok());
-    return std::move(method.get());
-  }
-
-  const std::string name_;
-  BufferDataLoader loader_; // Needs to outlive program_
-  Program program_; // Needs to outlive executor_
-  ManagedMemoryManager memory_manager_; // Needs to outlive executor_
-  Method method_;
-  exec_aten::ArrayRef<void*> inputs_;
-
-  bool has_run_;
-};
-
-/**
- * Creates PreparedModels based on the provided serialized data and memory
- * parameters.
- */
-class ModelFactory {
- public:
-  ModelFactory(
-      const std::string& name, // For debugging
-      std::shared_ptr<const char> model_data,
-      size_t model_data_size,
-      size_t non_const_mem_bytes = 40 * 1024U * 1024U, // 40 MB
-      size_t runtime_mem_bytes = 2 * 1024U * 1024U) // 2 MB
-      : name_(name),
-        model_data_(model_data),
-        model_data_size_(model_data_size),
-        non_const_mem_bytes_(non_const_mem_bytes),
-        runtime_mem_bytes_(runtime_mem_bytes) {}
-
-  std::unique_ptr<PreparedModel> prepare(
-      std::string_view name_affix = "") const {
-    return std::make_unique<PreparedModel>(
-        name_affix.empty() ? name_ : std::string(name_affix) + ":" + name_,
-        model_data_.get(),
-        model_data_size_,
-        non_const_mem_bytes_,
-        runtime_mem_bytes_);
-  }
-
-  const std::string& name() const {
-    return name_;
-  }
-
- private:
-  const std::string name_;
-  std::shared_ptr<const char> model_data_;
-
-  const size_t model_data_size_;
-  const size_t non_const_mem_bytes_;
-  const size_t runtime_mem_bytes_;
-};
-
-/// Synchronizes a set of model threads as they walk through prepare/run states.
-class Synchronizer {
- public:
-  explicit Synchronizer(size_t total_threads)
-      : total_threads_(total_threads), state_(State::INIT_THREAD) {}
-
-  /// The states for threads to move through. Must advance in order.
-  enum class State {
-    /// Initial state.
-    INIT_THREAD,
-
-    /// Thread is ready to prepare its model instance.
-    PREPARE_MODEL,
-
-    /// Thread is ready to run its model instance.
-    RUN_MODEL,
-  };
-
-  /// Wait until all threads have requested to advance to this state, then
-  /// advance all of them.
-  void advance_to(State new_state) {
-    std::unique_lock<std::mutex> lock(lock_);
-
-    // Enforce valid state machine transitions.
-    assert(
-        (new_state == State::PREPARE_MODEL && state_ == State::INIT_THREAD) ||
-        (new_state == State::RUN_MODEL && state_ == State::PREPARE_MODEL));
-
-    // Indicate that this thread is ready to move to the new state.
-    num_ready_++;
-    if (num_ready_ == total_threads_) {
-      // We were the last thread to become ready. Tell all threads to
-      // move to the next state.
-      state_ = new_state;
-      num_ready_ = 0;
-      cv_.notify_all();
-    } else {
-      // Wait until all other threads are ready.
-      cv_.wait(lock, [=] { return this->state_ == new_state; });
-    }
-  }
-
- private:
-  /// The total number of threads to wait for.
-  const size_t total_threads_;
-
-  /// Locks all mutable fields in this class.
-  std::mutex lock_;
-
-  /// The number of threads that are ready to move to the next state.
-  size_t num_ready_ = 0;
-
-  /// The state that all threads should be in.
-  State state_;
-
-  /// Signals threads to check for state updates.
-  std::condition_variable cv_;
-};
-
-/**
- * Waits for all threads to begin running; prepares a model and waits for all
- * threads to finish preparation; runs the model and exits.
- */
-void model_thread(ModelFactory& factory, Synchronizer& sync, size_t thread_id) {
-  ET_LOG(
-      Info,
-      "[%zu] Thread has started for %s.",
-      thread_id,
-      factory.name().c_str());
-
-  sync.advance_to(Synchronizer::State::PREPARE_MODEL);
-
-  // Create and prepare our model instance.
-  ET_LOG(Info, "[%zu] Preparing %s...", thread_id, factory.name().c_str());
-  std::unique_ptr<PreparedModel> model =
-      factory.prepare(/*name_affix=*/std::to_string(thread_id));
-  ET_LOG(Info, "[%zu] Prepared %s.", thread_id, model->name().c_str());
-
-  sync.advance_to(Synchronizer::State::RUN_MODEL);
-
-  // Run our model.
-  ET_LOG(Info, "[%zu] Running %s...", thread_id, model->name().c_str());
-  model->run();
-  ET_LOG(
-      Info, "[%zu] Finished running %s...", thread_id, model->name().c_str());
-
-  // TODO(T131578656): Check the model output.
-}
-
-/**
- * Splits the provided string on `,` and returns a vector of the non-empty
- * elements. Does not string whitespace.
- */
-std::vector<std::string> split_string_list(const std::string& list) {
-  std::vector<std::string> items;
-  std::stringstream sstream(list);
-  while (sstream.good()) {
-    std::string item;
-    getline(sstream, item, ',');
-    if (!item.empty()) {
-      items.push_back(item);
-    }
-  }
-  return items;
-}
-
-} // namespace
-
-int main(int argc, char** argv) {
-  torch::executor::runtime_init();
-
-  // Parse and extract flags.
-  gflags::SetUsageMessage(
-      "Creates multiple Executor instances at the same time, demonstrating "
-      "that the same process can handle multiple runtimes at once.");
-  gflags::ParseCommandLineFlags(&argc, &argv, true);
-  std::vector<std::string> model_paths = split_string_list(FLAGS_models);
-  size_t num_instances = FLAGS_num_instances;
-
-  // Create a factory for each model provided on the commandline.
-  std::vector<std::unique_ptr<ModelFactory>> factories;
-  for (const auto& model_path : model_paths) {
-    std::shared_ptr<char> file_data;
-    size_t file_size;
-    Error err = torch::executor::util::read_file_content(
-        model_path.c_str(), &file_data, &file_size);
-    ET_CHECK(err == Error::Ok);
-    factories.push_back(std::make_unique<ModelFactory>(
-        /*name=*/model_path, file_data, file_size));
-  }
-
-  // Spawn threads to prepare and run separate instances of the models in
-  // parallel.
-  const size_t num_threads = factories.size() * num_instances;
-  Synchronizer state(num_threads);
-  std::vector<std::thread> threads;
-  size_t thread_id = 0; // Unique ID for every thread.
-  ET_LOG(Info, "Creating %zu threads...", num_threads);
-  for (const auto& factory : factories) {
-    for (size_t i = 0; i < num_instances; ++i) {
-      threads.push_back(std::thread(
-          model_thread, std::ref(*factory), std::ref(state), thread_id++));
-    }
-  }
-
-  // Wait for all threads to finish.
-  ET_LOG(Info, "Waiting for %zu threads to exit...", threads.size());
-  for (auto& thread : threads) {
-    thread.join();
-  }
-  ET_LOG(Info, "All %zu threads exited.", threads.size());
-}
-
-//
-// Flag validation
-//
-
-/// Returns true if the specified path exists in the filesystem.
-static bool path_exists(const std::string& path) {
-  struct stat st;
-  return stat(path.c_str(), &st) == 0;
-}
-
-/// Returns true if `path_list` contains a comma-separated list of at least one
-/// path that exists in the filesystem.
-static bool validate_path_list(
-    const char* flagname,
-    const std::string& path_list) {
-  const std::vector<std::string> paths = split_string_list(path_list);
-  if (paths.empty()) {
-    fprintf(
-        stderr, "Must specify at least one valid path with --%s\n", flagname);
-    return false;
-  }
-  for (const auto& path : split_string_list(path_list)) {
-    if (!path_exists(path)) {
-      fprintf(
-          stderr,
-          "Path '%s' does not exist in --%s='%s'\n",
-          path.c_str(),
-          flagname,
-          path_list.c_str());
-      return false;
-    }
-  }
-  return true;
-}
-
-/// Returns true if `val` is positive.
-static bool validate_positive_int32(const char* flagname, int32_t val) {
-  if (val <= 0) {
-    fprintf(
-        stderr, "Value must be positive for --%s=%" PRId32 "\n", flagname, val);
-    return false;
-  }
-  return true;
-}
diff --git a/test/relocatable_runner.cpp b/test/relocatable_runner.cpp
deleted file mode 100644
index 47616dfa69..0000000000
--- a/test/relocatable_runner.cpp
+++ /dev/null
@@ -1,332 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#include <memory>
-#include <vector>
-
-#include <executorch/extension/data_loader/buffer_data_loader.h>
-#include <executorch/runtime/executor/method.h>
-#include <executorch/runtime/executor/program.h>
-#include <executorch/runtime/platform/log.h>
-#include <executorch/runtime/platform/runtime.h>
-#include <executorch/util/read_file.h>
-#include <executorch/util/util.h>
-
-#include <gflags/gflags.h>
-
-using namespace torch::executor;
-
-/**
- * @file
- *
- * In some hardware environments, the same model may run on different cores for
- * different inference requests. The same core may also see a power-cycle (i.e.,
- * power down and then back up) in between two inference requests.
- *
- * For ExecuTorch to work efficiently in these environments, we want to
- * initialize the Method once once for the model and avoid re-initializing it
- * for every inference. This can be achieved by restricting the runtime contexts
- * (torch::executor::Program and torch::executor::Method) to live in a
- * pre-allocated, shared, and persistent memory.
- *
- * This tool demonstrates that the memory can be managed this way.
- */
-
-static uint8_t method_allocator_pool[2 * 1024U * 1024U]; // 4 MB
-
-#define MAX_INPUTS_PER_MODEL 16
-#define MAX_OUTPUTS_PER_MODEL 8
-
-DEFINE_string(
-    model_path,
-    "model.pte",
-    "Model serialized in flatbuffer format.");
-
-// These functions represent the work done on a worker core.
-namespace worker {
-
-Program* load_program(
-    const void* file_data,
-    size_t file_data_len,
-    MemoryAllocator& allocator) {
-  // Wrap the data in a DataLoader. The Program will take a pointer to it, so it
-  // must live for at least as long as the Program instance.
-  auto loader = allocator.allocateInstance<util::BufferDataLoader>();
-  ET_CHECK(loader != nullptr);
-  new (loader) util::BufferDataLoader(file_data, file_data_len);
-
-  // Load the program.
-  Result<Program> program_result = Program::load(loader);
-  ET_CHECK(program_result.ok());
-
-  // Move the Program into worker memory.
-  auto program = allocator.allocateInstance<Program>();
-  ET_CHECK(program != nullptr);
-  new (program) Program(std::move(program_result.get()));
-
-  return program;
-}
-
-MemoryManager* create_memory_manager(
-    MethodMeta* method_meta,
-    MemoryAllocator& worker_allocator) {
-  // Create the runtime allocator.
-  auto* method_allocator = worker_allocator.allocateInstance<MemoryAllocator>();
-  ET_CHECK(method_allocator != nullptr);
-  new (method_allocator)
-      MemoryAllocator(sizeof(method_allocator_pool), method_allocator_pool);
-
-  // Create the memory planned buffers.
-  size_t num_memory_planned_buffers = method_meta->num_memory_planned_buffers();
-  Span<uint8_t>* memory_planned_buffers =
-      worker_allocator.allocateList<Span<uint8_t>>(num_memory_planned_buffers);
-  ET_CHECK(memory_planned_buffers != nullptr);
-  for (size_t id = 0; id < num_memory_planned_buffers; ++id) {
-    const size_t buffer_size =
-        method_meta->memory_planned_buffer_size(id).get();
-    ET_LOG(
-        Info, "Setting up planned buffer id %zu, size %zu.", id, buffer_size);
-    void* buffer = worker_allocator.allocate(buffer_size);
-    ET_CHECK(buffer != nullptr);
-    memory_planned_buffers[id] = {(uint8_t*)buffer, buffer_size};
-    ET_LOG(
-        Info,
-        "Created memory_planned_buffers with size %zu and addr %p",
-        buffer_size,
-        buffer);
-  }
-  auto* planned_memory =
-      worker_allocator.allocateInstance<HierarchicalAllocator>();
-  ET_CHECK(planned_memory != nullptr);
-  new (planned_memory) HierarchicalAllocator(
-      {memory_planned_buffers, num_memory_planned_buffers});
-
-  // The constant allocator is not currently used, but must be provided.
-  auto* const_allocator = worker_allocator.allocateInstance<MemoryAllocator>();
-  ET_CHECK(const_allocator != nullptr);
-  new (const_allocator) MemoryAllocator(0, nullptr);
-
-  // Assemble all of the allocators into the MemoryManager that the Method
-  // will use.
-  auto* memory_manager = worker_allocator.allocateInstance<MemoryManager>();
-  ET_CHECK(memory_manager != nullptr);
-  new (memory_manager) MemoryManager(method_allocator, planned_memory);
-
-  return memory_manager;
-}
-
-Method* init_method(
-    Program* program,
-    const char* method_name,
-    MemoryAllocator& worker_allocator,
-    std::vector<size_t>& input_sizes,
-    std::vector<size_t>& output_sizes) {
-  Result<MethodMeta> method_meta = program->method_meta(method_name);
-  ET_CHECK(method_meta.ok());
-
-  MemoryManager* memory_manager =
-      create_memory_manager(&method_meta.get(), worker_allocator);
-
-  //
-  // Create and load a method from the program, using the provided
-  // allocators. The Method is what actually runs the model. It is
-  // mutable, so should only be used by a single thread at at time, but it can
-  // be reused.
-  //
-
-  auto* method = worker_allocator.allocateInstance<Method>();
-  ET_CHECK(method != nullptr);
-  auto method_res = program->load_method(method_name, memory_manager);
-  ET_CHECK_MSG(
-      method_res.error() == Error::Ok,
-      "loading method('%s') failed with status 0x%" PRIx32,
-      method_name,
-      method_res.error());
-  new (method) Method(std::move(method_res.get()));
-
-  ET_LOG(Info, "Model method '%s' initialized.", method_name);
-
-  // Gather the byte size of each input/output tensor.
-  const size_t input_size = method->inputs_size();
-  for (size_t i = 0; i < input_size; i++) {
-    if (!method->get_input(i).isTensor()) {
-      ET_LOG(Info, "input %zu is not a tensor, skipping", i);
-      continue;
-    }
-    const auto& t = method->get_input(i).toTensor();
-    input_sizes.push_back(t.nbytes());
-  }
-
-  const size_t output_size = method->outputs_size();
-  for (size_t i = 0; i < output_size; i++) {
-    const auto& t = method->get_output(i).toTensor();
-    output_sizes.push_back(t.nbytes());
-  }
-
-  return method;
-}
-
-void inference_loop(
-    Method* method,
-    const std::vector<void*>& input_buffers,
-    const std::vector<void*>& output_buffers) {
-  ET_LOG(
-      Info,
-      "Assigning input pointers, receiving %lu inputs",
-      input_buffers.size());
-
-  // Prepare the inputs.
-  {
-    size_t bufi = 0;
-    for (size_t i = 0; i < method->inputs_size(); i++) {
-      if (!method->get_input(i).isTensor()) {
-        ET_LOG(Info, "input %zu is not a tensor, skipping", i);
-        continue;
-      }
-      const auto& t = method->get_input(i).toTensor();
-      ET_CHECK_MSG(
-          bufi < input_buffers.size(), "Not enough input buffers for model");
-      t.set_data(input_buffers[bufi++]);
-    }
-  }
-  ET_LOG(Info, "Inputs prepared.");
-
-  // Prepare the outputs.
-  {
-    size_t bufi = 0;
-    for (size_t i = 0; i < method->outputs_size(); i++) {
-      if (!method->get_output(i).isTensor()) {
-        ET_LOG(Info, "output %zu is not a tensor, skipping", i);
-        continue;
-      }
-      const auto& t = method->get_output(i).toTensor();
-      ET_CHECK_MSG(
-          bufi < output_buffers.size(), "Not enough output buffers for model");
-      t.set_data(output_buffers[bufi++]);
-    }
-  }
-  ET_LOG(Info, "Outputs prepared.");
-
-  // Run the model.
-  Error status = method->execute();
-  ET_CHECK_MSG(
-      status == Error::Ok,
-      "method->execute() failed with status 0x%" PRIx32,
-      status);
-  ET_LOG(Info, "Model executed successfully.");
-}
-
-} // namespace worker
-
-/*
- * This is an example of how ExecuTorch stack should run on multiple
- * processors setup where there is a control core for memory
- * management and a worker core that runs the actual inference.
- */
-
-int main(int argc, char** argv) {
-  torch::executor::runtime_init();
-  gflags::ParseCommandLineFlags(&argc, &argv, true);
-
-  /*
-   * Step 1: The model gets loaded from file to memory on the control core
-   */
-  std::shared_ptr<char> file_data;
-  size_t file_size;
-  Error err = torch::executor::util::read_file_content(
-      FLAGS_model_path.c_str(), &file_data, &file_size);
-  ET_CHECK_MSG(err == Error::Ok, "read_file_content failed: %d", int(err));
-
-  /*
-   * Step 2: Prepare the memory space required for worker core
-   */
-  // The actual allocation size can be backend/model specific and smaller
-  constexpr size_t kWorkerBufferSize = 1 * 1024U * 1024U; // 1 MB
-  auto worker_buffer = std::make_unique<uint8_t[]>(kWorkerBufferSize);
-  MemoryAllocator worker_allocator(kWorkerBufferSize, worker_buffer.get());
-
-  /*
-   * Step 3: The worker core sets up the corresponding data structures for the
-   * program
-   */
-  Program* program =
-      worker::load_program(file_data.get(), file_size, worker_allocator);
-  ET_LOG(
-      Info,
-      "Loaded %s and constructed program at %p",
-      FLAGS_model_path.c_str(),
-      program);
-  ET_CHECK(program != nullptr);
-
-  /*
-   * Step 4: The worker core sets up the Method. Here we let the control
-   * core read out the I/O info from the Method. This can also be done on
-   * the control core from the program flatbuffer, though there is no
-   * direct API at the moment.
-   */
-
-  // Get the method name to execute.
-  const char* method_name = nullptr;
-  {
-    // Use the first method in the program.
-    const auto method_name_result = program->get_method_name(0);
-    ET_CHECK_MSG(method_name_result.ok(), "Program has no methods");
-    method_name = *method_name_result;
-  }
-  ET_LOG(Info, "Using method %s", method_name);
-
-  std::vector<size_t> input_sizes;
-  std::vector<size_t> output_sizes;
-
-  Method* method = worker::init_method(
-      program, method_name, worker_allocator, input_sizes, output_sizes);
-
-  ET_LOG(
-      Info,
-      "Number of inputs is %lu and number of outputs is %lu",
-      input_sizes.size(),
-      output_sizes.size());
-
-  /*
-   * Step 5: The control core or the applicaton code prepares the I/O
-   */
-
-  // Allocate and initialize input/output tensor buffers for the inference
-  std::vector<void*> input_buffers;
-  for (size_t buffer_size : input_sizes) {
-    void* buffer = malloc(buffer_size);
-    memset(static_cast<char*>(buffer), 0, buffer_size);
-    input_buffers.push_back(buffer);
-  }
-  ET_LOG(Info, "Allocated the inputs");
-
-  std::vector<void*> output_buffers;
-  for (size_t buffer_size : output_sizes) {
-    void* buffer = malloc(buffer_size);
-    memset(static_cast<char*>(buffer), 0, buffer_size);
-    output_buffers.push_back(buffer);
-  }
-  ET_LOG(Info, "Allocated the outputs");
-
-  /*
-   * Step 6: The control core forwards the inference request and the worker
-   * core runs the program.
-   */
-
-  // Run the inference on the inputs. CHECK-fails on error.
-  worker::inference_loop(method, input_buffers, output_buffers);
-
-  for (void* buffer : input_buffers) {
-    free(buffer);
-  }
-  for (void* buffer : output_buffers) {
-    free(buffer);
-  }
-
-  return 0;
-}
diff --git a/test/run_oss_cpp_tests.sh b/test/run_oss_cpp_tests.sh
index 0cb766738a..e771fd4b12 100755
--- a/test/run_oss_cpp_tests.sh
+++ b/test/run_oss_cpp_tests.sh
@@ -35,7 +35,8 @@ build_executorch() {
     -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
     -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
     -DEXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL=ON \
-    -DEXECUTORCH_BUILD_SDK=ON \
+    -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
+    -DEXECUTORCH_BUILD_DEVTOOLS=ON \
     -DEXECUTORCH_BUILD_VULKAN=$BUILD_VULKAN \
     -DEXECUTORCH_BUILD_XNNPACK=ON \
     -Bcmake-out
@@ -52,29 +53,31 @@ build_gtest() {
 }
 
 export_test_model() {
-  python3 -m test.models.export_program --modules "ModuleAdd,ModuleAddHalf,ModuleDynamicCatUnallocatedIO,ModuleIndex,ModuleLinear,ModuleMultipleEntry" --outdir "cmake-out" 2> /dev/null
+  python3 -m test.models.export_program --modules "ModuleAdd,ModuleAddHalf,ModuleDynamicCatUnallocatedIO,ModuleIndex,ModuleLinear,ModuleMultipleEntry,ModuleSimpleTrain" --outdir "cmake-out" 2> /dev/null
   python3 -m test.models.export_delegated_program --modules "ModuleAddMul" --backend_id "StubBackend" --outdir "cmake-out" || true
 
+  DEPRECATED_ET_MODULE_LINEAR_CONSTANT_BUFFER_PATH="$(realpath test/models/deprecated/ModuleLinear-no-constant-segment.pte)"
   ET_MODULE_ADD_HALF_PATH="$(realpath cmake-out/ModuleAddHalf.pte)"
   ET_MODULE_ADD_PATH="$(realpath cmake-out/ModuleAdd.pte)"
   ET_MODULE_DYNAMIC_CAT_UNALLOCATED_IO_PATH="$(realpath cmake-out/ModuleDynamicCatUnallocatedIO.pte)"
   ET_MODULE_INDEX_PATH="$(realpath cmake-out/ModuleIndex.pte)"
-  ET_MODULE_LINEAR_CONSTANT_BUFFER_PATH="$(realpath cmake-out/ModuleLinear-no-constant-segment.pte)"
-  ET_MODULE_LINEAR_CONSTANT_SEGMENT_PATH="$(realpath cmake-out/ModuleLinear.pte)"
+  ET_MODULE_LINEAR_PATH="$(realpath cmake-out/ModuleLinear.pte)"
   ET_MODULE_MULTI_ENTRY_PATH="$(realpath cmake-out/ModuleMultipleEntry.pte)"
   ET_MODULE_ADD_MUL_NOSEGMENTS_DA1024_PATH="$(realpath cmake-out/ModuleAddMul-nosegments-da1024.pte)"
   ET_MODULE_ADD_MUL_NOSEGMENTS_PATH="$(realpath cmake-out/ModuleAddMul-nosegments.pte)"
   ET_MODULE_ADD_MUL_PATH="$(realpath cmake-out/ModuleAddMul.pte)"
+  ET_MODULE_SIMPLE_TRAIN_PATH="$(realpath cmake-out/ModuleSimpleTrain.pte)"
+  export DEPRECATED_ET_MODULE_LINEAR_CONSTANT_BUFFER_PATH
   export ET_MODULE_ADD_HALF_PATH
   export ET_MODULE_ADD_PATH
   export ET_MODULE_DYNAMIC_CAT_UNALLOCATED_IO_PATH
   export ET_MODULE_INDEX_PATH
-  export ET_MODULE_LINEAR_CONSTANT_BUFFER_PATH
-  export ET_MODULE_LINEAR_CONSTANT_SEGMENT_PATH
+  export ET_MODULE_LINEAR_PATH
   export ET_MODULE_MULTI_ENTRY_PATH
   export ET_MODULE_ADD_MUL_NOSEGMENTS_DA1024_PATH
   export ET_MODULE_ADD_MUL_NOSEGMENTS_PATH
   export ET_MODULE_ADD_MUL_PATH
+  export ET_MODULE_SIMPLE_TRAIN_PATH
 }
 
 build_and_run_test() {
@@ -119,7 +122,7 @@ probe_tests() {
     kernels
     runtime
     schema
-    sdk
+    devtools
     test
   )
 
diff --git a/test/targets.bzl b/test/targets.bzl
index 5c2a28cad1..3c2a69f592 100644
--- a/test/targets.bzl
+++ b/test/targets.bzl
@@ -49,42 +49,3 @@ def define_common_targets():
             "@EXECUTORCH_CLIENTS",
         ],
     )
-
-    # Test binary that can create multiple Executor instances in the same
-    # process.
-    runtime.cxx_binary(
-        name = "multi_runner",
-        srcs = ["multi_runner.cpp"],
-        deps = [
-            "//executorch/runtime/core:core",
-            "//executorch/kernels/portable:generated_lib",
-            "//executorch/runtime/executor:program",
-            "//executorch/runtime/executor/test:managed_memory_manager",
-            "//executorch/extension/data_loader:buffer_data_loader",
-            "//executorch/util:read_file",
-            "//executorch/util:util",
-        ],
-        external_deps = [
-            "gflags",
-        ],
-        **get_oss_build_kwargs()
-    )
-
-    # Test binary that can create relocatable Executor instances.
-    runtime.cxx_binary(
-        name = "relocatable_runner",
-        srcs = ["relocatable_runner.cpp"],
-        deps = [
-            "//executorch/kernels/portable:generated_lib",
-            "//executorch/runtime/executor:program",
-            "//executorch/configurations:executor_cpu_optimized",
-            "//executorch/extension/data_loader:buffer_data_loader",
-            "//executorch/util:read_file",
-            "//executorch/util:util",
-        ],
-        external_deps = [
-            "gflags",
-        ],
-        preprocessor_flags = [],
-        define_static_target = True,
-    )
diff --git a/test/utils/DeathTest.h b/test/utils/DeathTest.h
index 7c0b0cad92..2ba9bd61bd 100644
--- a/test/utils/DeathTest.h
+++ b/test/utils/DeathTest.h
@@ -15,7 +15,7 @@
 
 #include <gtest/gtest.h>
 
-#if __ET_BUILD_MODE_COV
+#if ET_BUILD_MODE_COV
 
 /**
  * TODO(T124640221): Work around a seg fault when running death tests in
@@ -25,7 +25,7 @@
  */
 #define ET_EXPECT_DEATH(_statement, _matcher) ((void)0)
 
-#else // __ET_BUILD_MODE_COV
+#else // ET_BUILD_MODE_COV
 
 /**
  * Ensure the executable will abort when `_statement` is executed.
@@ -37,4 +37,4 @@
 #define ET_EXPECT_DEATH(_statement, _matcher) \
   EXPECT_DEATH_IF_SUPPORTED(_statement, _matcher)
 
-#endif // __ET_BUILD_MODE_COV
+#endif // ET_BUILD_MODE_COV
diff --git a/test/utils/OSSTestConfig.json b/test/utils/OSSTestConfig.json
index 38fa31cd6f..dca2a7bbbc 100644
--- a/test/utils/OSSTestConfig.json
+++ b/test/utils/OSSTestConfig.json
@@ -37,7 +37,7 @@
         ],
         "additional_libs": [
             "extension_data_loader",
-            "extension_module_static",
+            "extension_module",
             "portable_kernels",
             "portable_ops_lib"
         ]
@@ -52,8 +52,7 @@
     {
         "directory": "extension/runner_util/test",
         "sources": [
-            "inputs_test.cpp",
-            "managed_tensor_test.cpp"
+            "inputs_test.cpp"
         ],
         "additional_libs": [
             "extension_data_loader",
@@ -62,6 +61,17 @@
             "portable_ops_lib"
         ]
     },
+    {
+        "directory": "extension/tensor/test",
+        "sources": [
+            "tensor_impl_ptr_test.cpp",
+            "tensor_ptr_maker_test.cpp",
+            "tensor_ptr_test.cpp"
+        ],
+        "additional_libs": [
+            "extension_tensor"
+        ]
+    },
     {
         "directory": "kernels/portable/cpu/util/test",
         "sources": [
@@ -77,7 +87,7 @@
         "directory": "runtime/core/portable_type/test",
         "sources": [
             "optional_test.cpp",
-            "executor_tensor_test.cpp",
+            "tensor_test.cpp",
             "half_test.cpp",
             "scalar_test.cpp",
             "tensor_impl_test.cpp"
diff --git a/test/utils/UnitTestMain.cpp b/test/utils/UnitTestMain.cpp
index be600d29ea..31cfbaeb23 100644
--- a/test/utils/UnitTestMain.cpp
+++ b/test/utils/UnitTestMain.cpp
@@ -16,7 +16,7 @@
 #include <gtest/gtest.h>
 
 // Define main as a weak symbol to allow trivial overriding.
-int main(int argc, char** argv) __ET_WEAK;
+int main(int argc, char** argv) ET_WEAK;
 
 int main(int argc, char** argv) {
   ::testing::InitGoogleTest(&argc, argv);
diff --git a/util/activation_memory_profiler.py b/util/activation_memory_profiler.py
index f45613d1cc..f459dfafaf 100644
--- a/util/activation_memory_profiler.py
+++ b/util/activation_memory_profiler.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import json
 import typing
 from dataclasses import dataclass, field
@@ -22,6 +24,7 @@ class Allocation:
     name: str
     op_name: str
     memory_id: int
+    memory_offset: int
     size_bytes: int
     fqn: str
     file_and_line_num: str
@@ -50,7 +53,9 @@ def create_tensor_allocation_info(graph: torch.fx.Graph) -> List[MemoryTimeline]
     """
     nodes = graph.nodes
     memory_timeline = [None] * len(nodes)
-    for i, node in enumerate(nodes):
+    for _, node in enumerate(nodes):
+        if node.op == "output":
+            continue
         if node.target == memory.alloc:
             continue
         tensor_specs = get_node_tensor_specs(node)
@@ -72,7 +77,15 @@ def create_tensor_allocation_info(graph: torch.fx.Graph) -> List[MemoryTimeline]
                     memory_timeline[j] = MemoryTimeline()
                 # pyre-ignore
                 memory_timeline[j].allocations.append(
-                    Allocation(node.name, node.target, i, size, fqn, stack_trace)
+                    Allocation(
+                        node.name,
+                        node.target,
+                        tensor_spec.mem_id,
+                        tensor_spec.mem_offset,
+                        size,
+                        fqn,
+                        stack_trace,
+                    )
                 )
     # pyre-ignore
     return memory_timeline
@@ -90,7 +103,10 @@ def _validate_memory_planning_is_done(exported_program: ExportedProgram):
 
 
 def generate_memory_trace(
-    executorch_program_manager: ExecutorchProgramManager, chrome_trace_filename: str
+    executorch_program_manager: ExecutorchProgramManager,
+    chrome_trace_filename: str,
+    enable_memory_offsets: bool = False,
+    method_name: str = "forward",
 ):
     """
     Generate the memory timeline from the given ExecuTorch program.
@@ -107,7 +123,7 @@ def generate_memory_trace(
             f"generate_memory_trace expects ExecutorchProgramManager instance but got {type(executorch_program_manager)}"
         )
 
-    exported_program = executorch_program_manager.exported_program()
+    exported_program = executorch_program_manager.exported_program(method_name)
     if not _validate_memory_planning_is_done(exported_program):
         raise ValueError("Executorch program does not have memory planning.")
 
@@ -126,13 +142,20 @@ def generate_memory_trace(
             e["name"] = allocation.name
             e["cat"] = "memory_allocation"
             e["ph"] = "X"
-            e["ts"] = int(start_time)
+            e["ts"] = (
+                int(allocation.memory_offset)
+                if enable_memory_offsets
+                else int(start_time)
+            )
             allocation_size_kb = allocation.size_bytes
             e["dur"] = int(allocation_size_kb)
-            e["pid"] = 0
+            e["pid"] = int(allocation.memory_id)
             e["tid"] = tid
             e["args"] = {}
             e["args"]["op_name"] = f"{allocation.op_name}"
+            # ID refers to memory space, typically from 1 to N.
+            # For CPU, everything is allocated on one "space", other backends may have multiple.
+            e["args"]["Memory ID"] = allocation.memory_id
             e["args"]["fqn"] = f"{allocation.fqn}"
             e["args"]["source"] = f"{allocation.file_and_line_num}"
             e["args"]["bytes"] = allocation.size_bytes
diff --git a/util/read_file.cpp b/util/read_file.cpp
deleted file mode 100644
index b6e3adb632..0000000000
--- a/util/read_file.cpp
+++ /dev/null
@@ -1,70 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#include <executorch/util/read_file.h>
-
-#include <executorch/runtime/platform/log.h>
-
-#include <stdio.h>
-#include <memory>
-
-namespace torch {
-namespace executor {
-namespace util {
-
-__ET_NODISCARD Error read_file_content(
-    const char* file_name,
-    std::shared_ptr<char>* file_data,
-    size_t* file_length) {
-  FILE* file;
-  unsigned long fileLen;
-
-  // Open file
-  file = fopen(file_name, "rb");
-  if (!file) {
-    ET_LOG(Error, "Unable to open file %s\n", file_name);
-    return Error::NotSupported;
-  }
-
-  // Get file length
-  fseek(file, 0, SEEK_END);
-  fileLen = ftell(file);
-  fseek(file, 0, SEEK_SET);
-
-  // Allocate memory
-  auto ptr = std::shared_ptr<char>(
-      new char[fileLen + 1], std::default_delete<char[]>());
-  if (!ptr) {
-    ET_LOG(Error, "Unable to allocate memory to read file %s\n", file_name);
-    fclose(file);
-    return Error::NotSupported;
-  }
-
-  // Read file contents into buffer
-  fread(ptr.get(), fileLen, 1, file);
-  fclose(file);
-
-  *file_data = ptr;
-  *file_length = fileLen;
-  return Error::Ok;
-}
-
-__ET_DEPRECATED std::shared_ptr<char> read_file_content(const char* name) {
-  std::shared_ptr<char> file_data;
-  size_t file_length;
-  Error status = read_file_content(name, &file_data, &file_length);
-  if (status == Error::Ok) {
-    return file_data;
-  } else {
-    return nullptr;
-  }
-}
-
-} // namespace util
-} // namespace executor
-} // namespace torch
diff --git a/util/read_file.h b/util/read_file.h
deleted file mode 100644
index 57c1464c2c..0000000000
--- a/util/read_file.h
+++ /dev/null
@@ -1,56 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#pragma once
-
-#include <executorch/runtime/core/error.h>
-#include <executorch/runtime/platform/compiler.h>
-#include <memory>
-#include <string>
-
-namespace torch {
-namespace executor {
-namespace util {
-
-/**
- * Read the data from the file given name.
- *
- * The returned pointer pointing to the memory address containing the data, and
- * the file length is the length of data.
- *
- * @param[in] file_name The name of the file to be read.
- * @param[out] file_data The file data, if read successfully.
- * @param[out] file_length The length of file_data, in bytes, if read
- * successfully.
- *
- * @returns Error::Ok if the file is read successfully, file_data point to the
- * data and file_length is the correct length of file_data. Other values on
- * failure.
- */
-__ET_NODISCARD Error read_file_content(
-    const char* file_name,
-    std::shared_ptr<char>* file_data,
-    size_t* file_length);
-
-/**
- * Read the data from the file given name.
- *
- * The returned pointer pointing to the memory address containing the data.
- *
- * This function is deprecated, and should use the above function instead to
- * read file content.
- *
- * @param[in] name The name of the file to be read.
- *
- * @returns The pointer to file data, if read successfully. Otherwise null_ptr.
- */
-__ET_DEPRECATED std::shared_ptr<char> read_file_content(const char* name);
-
-} // namespace util
-} // namespace executor
-} // namespace torch
diff --git a/util/targets.bzl b/util/targets.bzl
index c8b70f5c81..5c5d7401d5 100644
--- a/util/targets.bzl
+++ b/util/targets.bzl
@@ -7,40 +7,6 @@ def define_common_targets():
     TARGETS and BUCK files that call this function.
     """
 
-    runtime.cxx_library(
-        name = "read_file",
-        srcs = ["read_file.cpp"],
-        exported_headers = ["read_file.h"],
-        visibility = [
-            "//executorch/...",
-            "@EXECUTORCH_CLIENTS",
-        ],
-        exported_deps = [
-            "//executorch/runtime/core:core",
-            "//executorch/runtime/platform:compiler",
-        ],
-    )
-
-    for aten_mode in (True, False):
-        aten_suffix = ("_aten" if aten_mode else "")
-
-        # DEPRECATED: Remove this once all users have migrated to
-        # extension/runner_util:inputs.
-        runtime.cxx_library(
-            name = "util" + aten_suffix,
-            srcs = [],
-            exported_headers = ["util.h"],
-            visibility = [
-                "//executorch/...",
-                "@EXECUTORCH_CLIENTS",
-            ],
-            exported_deps = [
-                "//executorch/extension/runner_util:inputs" + aten_suffix,
-                "//executorch/runtime/core:core",
-                "//executorch/runtime/executor:program" + aten_suffix,
-            ],
-        )
-
     if not runtime.is_oss:
         runtime.python_library(
             name = "python_profiler",
diff --git a/util/util.h b/util/util.h
deleted file mode 100644
index f848c17dc2..0000000000
--- a/util/util.h
+++ /dev/null
@@ -1,58 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-/**
- * @file
- * DEPRECATED: Do not use this file or add new functions to it.
- */
-
-#pragma once
-
-#include <executorch/extension/runner_util/inputs.h>
-#include <executorch/runtime/core/array_ref.h>
-#include <executorch/runtime/executor/method.h>
-
-namespace torch {
-namespace executor {
-namespace util {
-
-/**
- * DEPRECATED: Use prepare_input_tensors() instead.
- *
- * Allocates input tensors for the provided Method, filling them with ones.
- *
- * @param[in] method The Method that owns the inputs to prepare.
- * @returns An array of pointers that must be passed to `FreeInputs()` after
- *     the Method is no longer needed.
- */
-__ET_DEPRECATED
-inline exec_aten::ArrayRef<void*> PrepareInputTensors(Method& method) {
-  Result<BufferCleanup> inputs = prepare_input_tensors(method);
-  ET_CHECK(inputs.ok());
-  // A hack to work with the deprecated signature. Return an ArrayRef that
-  // points to a single BufferCleanup.
-  return {
-      reinterpret_cast<void**>(new BufferCleanup(std::move(inputs.get()))), 1};
-}
-
-/**
- * DEPRECATED: Use prepare_input_tensors() instead, which does not need this.
- *
- * Frees memory that was allocated by `PrepareInputTensors()`.
- */
-__ET_DEPRECATED
-inline void FreeInputs(exec_aten::ArrayRef<void*> inputs) {
-  ET_CHECK(inputs.size() == 1);
-  // A hack to work with the deprecated signature. The ArrayRef points to a
-  // single BufferCleanup for us to delete.
-  delete reinterpret_cast<BufferCleanup*>(const_cast<void**>(inputs.data()));
-}
-
-} // namespace util
-} // namespace executor
-} // namespace torch
diff --git a/version.txt b/version.txt
index f28aaa5cd4..515423ed56 100644
--- a/version.txt
+++ b/version.txt
@@ -1 +1 @@
-0.4.0a0
+0.5.0a0